{ "fields": [{"id":"_id","type":"int"},{"id":"UID","type":"text"},{"id":"Name","type":"text"},{"id":"Description","type":"text"},{"id":"Owner","type":"text"},{"id":"Type","type":"text"},{"id":"Category","type":"text"},{"id":"Tags","type":"text"},{"id":"URL","type":"text"},{"id":"API Endpoint","type":"text"},{"id":"Creation Date (UTC)","type":"text"},{"id":"Last Metadata Updated Date (UTC)","type":"text"},{"id":"Last Data Updated Date (UTC)","type":"text"},{"id":"Derived View","type":"text"},{"id":"Visits","type":"text"},{"id":"Downloads","type":"text"},{"id":"Row Label","type":"text"},{"id":"Row Count","type":"text"},{"id":"Column Count","type":"text"},{"id":"License","type":"text"},{"id":"Attribution","type":"text"},{"id":"Attribution Link","type":"text"},{"id":"Parent UID","type":"text"},{"id":"Refresh Frequency: Frequency","type":"text"},{"id":"Department: Department","type":"text"}], "records": [ [1,"fcfs-wne2","Datasets by Category","An inventory of datasets and other data assets that are published by the City of Seattle on data.seattle.gov","Palay, Claire","chart",null,null,"https://data.seattle.gov/d/fcfs-wne2","https://data.seattle.gov/resource/fcfs-wne2.json","10/02/2024 08:00:43 PM","10/09/2024 06:07:33 PM","09/01/2025 12:40:21 AM","true","289","0",null,null,null,null,null,null,"phjv-68rp","Daily","Seattle Information Technology"], [2,"5aky-hgur","# of City of Seattle Employees by Department","Wage and classification information of City of Seattle Employees as of February 2017. Exclusions may apply for vulnerable populations.","Dooley, Connor","chart","City Business",null,"https://data.seattle.gov/d/5aky-hgur","https://data.seattle.gov/resource/5aky-hgur.json","02/22/2018 10:40:59 PM","10/08/2024 07:39:32 PM","08/25/2025 03:38:31 PM","true","1659","12",null,null,null,"Public Domain","Seattle Department of Human Resources",null,"2khk-5ukd",null,null], [3,"6fac-8kjd","Parks Capital Project Phase Table","This explains the project phases and definitions for hose phases.","kylegriggs","dataset","Community and Culture",null,"https://data.seattle.gov/d/6fac-8kjd","https://data.seattle.gov/resource/6fac-8kjd.json","07/18/2016 09:35:30 PM","03/04/2025 02:28:53 PM","04/30/2019 06:55:36 PM","false","201","206","Project phase","3","4","Public Domain","City of Seattle",null,null,"Annually","Seattle Parks and Recreation"], [4,"rsq4-c9zm","Sockeye Broodstock Weir Operations - Cedar River","Since 2008 adult Cedar River sockeye have been collected at a broodstock collection weir that is temporarily installed each fall in the lower Cedar River (Renton, WA). Adult sockeye collected at the weir are trucked to the Cedar River Sockeye Hatchery as part of the Landsburg Mitigation Agreement. The weir is operated by the Washington Department of Fish and Wildlife. This operations dataset includes the daily number of hours the weir was fishing, and tip-gate and/or panel configuration hours. Methods and data summaries are available in the Hatchery Annual Reports (WDFW). A metadata file includes links to reports, protocols, and attribute information.","Carol Volk","dataset","Built Environment","broodstock collection,cedar river,chinook,coho,hcp,lma,salmon,sockeye,weir","https://data.seattle.gov/d/rsq4-c9zm","https://data.seattle.gov/resource/rsq4-c9zm.json","12/18/2024 09:22:24 PM","12/18/2024 09:52:57 PM","12/18/2024 09:52:49 PM","false","41","155","Day","856","10",null,"Carol Volk",null,null,"Annually","Seattle Public Utilities"], [5,"d9ti-hi4p","Downtown Activation Plan Dashboard Data","This data powers the Downtown Activation Plan Dashboard.","JoonS","dataset","Community and Culture","downtown,downtown activation plan,oed,office of economic development,seattle downtown revitalization","https://data.seattle.gov/d/d9ti-hi4p","https://data.seattle.gov/resource/d9ti-hi4p.json","06/22/2023 08:05:11 PM","04/24/2025 08:56:51 PM","04/24/2025 08:56:52 PM","false","298","262","Quarter","25","35","Public Domain","Office of Economic Development",null,null,"Quarterly","Department of Economic Development"], [6,"ad9s-n4hf","SPD 9-11 Customer Satisfaction Survey Data","Background: “In 2006, the Seattle Police Department began surveying members of the public (customers) who had personal contact with an officer after calling 9-1-1. The surveys have been conducted two to four times a year, and a total of 44 surveys have been conducted to date. These surveys have been designed to assess customers’ experiences and satisfaction with the service provided by the Seattle Police Department, and the results of the surveys have been used to assess service delivery; examine differences between precincts; identify strategies and tactics to achieve specific service objectives; and provide feedback to officers, precinct captains, and watch lieutenants. This report presents the results of the September 2019 customer survey and compares the September 2019 survey results to results from the 13 other surveys conducted since March 2016.”\n\nResearch Methods. “Similar to the previous surveys, 200 customers who called 9-1-1 and had an officer dispatched to provide assistance were interviewed by telephone for this survey. All of the customers interviewed had called 9-1-1 between August 21 and August 29, 2019, and were randomly selected from lists of 9-1-1 callers who had an officer dispatched to provide assistance, excluding sensitive cases such as domestic violence calls. The interviews were completed between September 3 and September 10, 2019. The interviews were approximately 10 to 12 minutes long. The questionnaire used in the interviews was developed with Department input and approval. During the course of this research, some questions have been added to or deleted from the survey questionnaire to reflect the changing information needs of the Department. However, questions about customers’ overall satisfaction with their experience with the Department after calling 9-1-1, experiences with and opinions of the officer who first visited after the call to 9-1-1, opinions of the Seattle Police Department overall, and satisfaction with the service provided by the 9-1-1 operator have been included in every survey. Since late 2006 and early 2007, the surveys also included questions about customers’ feelings of safety in Seattle.”","Wang, Xinbao","dataset","Public Safety",null,"https://data.seattle.gov/d/ad9s-n4hf","https://data.seattle.gov/resource/ad9s-n4hf.json","10/09/2021 12:06:06 AM","01/29/2025 06:25:55 AM","10/14/2021 04:17:57 PM","false","207","498","survey","9412","78","Public Domain",null,null,null,"One Time","Seattle Police Department"], [7,"t8i6-tipf","Thomas St Overpass Bike & Ped Counter","Counter is located at the bridge entrance of the Thomas St Overpass. These sensors counts both people riding bikes and pedestrians. Separate volumes are tallied for each travel mode. Wires in a diamond formation in the concrete detect bikes and an infrared sensor mounted on a metal post that detects pedestrians. The counters also capture the direction of travel for both bikes and pedestrians.","Jennifer.Manu@seattle.gov","dataset","Transportation","bicycle,bike,bike counts,monthly data,pedestrian,sdot,seattle","https://data.seattle.gov/d/t8i6-tipf","https://data.seattle.gov/resource/t8i6-tipf.json","09/13/2022 04:24:59 PM","08/06/2025 06:47:10 PM","08/06/2025 06:47:10 PM","false","147","250","Hour of Day","28822","6","Public Domain",null,null,null,"Monthly","Seattle Department of Transportation"], [8,"6bfa-nwhf","Civil Rights Technical Assistance by Month, 2017-Present","The Enforcement Division provides technical assistance to businesses and other organizations on the laws enforced by the Seattle Office for Civil Rights (SOCR). This dataset shows the number of times technical assistance was provided by month.","Beach, Monica","dataset","City Administration","civil rights,discrimination","https://data.seattle.gov/d/6bfa-nwhf","https://data.seattle.gov/resource/6bfa-nwhf.json","09/27/2017 10:40:16 PM","08/14/2025 09:38:51 PM","08/14/2025 09:38:51 PM","false","397","1832","N/A","103","3","Public Domain","City of Seattle","https://www.seattle.gov/civilrights",null,"Monthly","Seattle Office for Civil Rights"], [9,"wqw4-hcb6","Technology Access and Adoption Survey 2018 Codebook","Codebook for the 2018 Technology Access and Adoption Survey. Survey data available here: https://data.seattle.gov/Community/Technology-Access-and-Adoption-Survey-2018/cz6d-tu92","Keyes, David","dataset","Community and Culture",null,"https://data.seattle.gov/d/wqw4-hcb6","https://data.seattle.gov/resource/wqw4-hcb6.json","11/13/2018 10:25:38 PM","01/30/2025 04:41:22 AM","11/15/2018 04:51:07 PM","false","300","822","technology and access survey field","2987","5","Public Domain","Seattle Information Technology",null,null,"One Time","Seattle Information Technology"], [10,"7rx6-5pgd","Public Life Data - People Moving","Provides data on people moving through space, including total number observed, gender breakdown, group size, and age groups.\n\n------------------------------------------\n\nThe City of Seattle Department of Transportation (SDOT) is providing data from the public life studies it has conducted since 2017. These studies consist of measuring the number of people using public space and the types of activities present on select sidewalks across the city, as well as several parks and plazas. The data set is continually updated as SDOT and other parties conduct public life studies using Gehl Institute’s Public Life Data Protocol.\n\nThis dataset consists of four component spreadsheets and a GeoJSON file, which provide public life data as well as information about the study design and study locations:\n\n1 Public Life Study: provides details on the different studies that have been conducted, including project information.\nhttps://data.seattle.gov/Transportation/Public-Life-Data-Study/7qru-sdcp\n\n2 Public Life Location: provides details on the sites selected for each study, including various attributes to allow for comparison across sites.\nhttps://data.seattle.gov/Transportation/Public-Life-Data-Locations/fg6z-cn3y\n\n3 Public Life People Moving: provides data on people moving through space, including total number observed, gender breakdown, group size, and age groups.\n\n4 Public Life People Staying: provides data on people staying still in the space, including total number observed, demographic data, group size, postures, and activities.\nhttps://data.seattle.gov/Transportation/Public-Life-Data-People-Staying/5mzj-4rtf\n\n5 Public Life Geography: A GeoJSON file with polygons of every location studied.\nhttps://data.seattle.gov/Transportation/Public-Life-Data-Geography/v4q3-5hvp\n\nPlease download and refer to the Public Life metadata document - in the attachment section below - for comprehensive information about all of the Public Life datasets.","Hagenah, Alex","dataset","Community and Culture","people moving,public life,public space,sdot,sidewalks,streets,transportation","https://data.seattle.gov/d/7rx6-5pgd","https://data.seattle.gov/resource/7rx6-5pgd.json","03/04/2020 05:52:02 PM","01/29/2025 06:05:59 AM","02/15/2023 11:34:48 PM","false","243","460","single observational period for people moving through the study area","2378","43","Public Domain","Seattle Department of Transportation",null,null,"To Be Determined","Seattle Department of Transportation"], [11,"u38e-ybnc","MTS Trail west of I-90 Bridge Bicycle and Pedestrian Counter (Out of Service)","Due to hardware issues, this counter is no longer in service. Counts are conducted using tubes on a quarterly basis.\n\nThese sensors counts both people riding bikes and pedestrians. Separate volumes are tallied for each travel mode. Wires in a diamond formation in the concrete detect bikes and an infrared sensor mounted on a wooden post detects pedestrians. The counters also capture the direction of travel for both bikes and pedestrians.\n\nMTS Trail stands for Mountains to Sound Trail.","Zuniga, Rafael","dataset","Transportation","bicycle,bike,counts,monthly data,pedestrian,sdot,seattle","https://data.seattle.gov/d/u38e-ybnc","https://data.seattle.gov/resource/u38e-ybnc.json","02/04/2014 04:36:38 PM","01/30/2025 04:16:51 AM","01/13/2022 05:23:27 PM","false","2577","3297","Bicycle, Count","70464","6","Public Domain","City of Seattle",null,null,"Monthly","Seattle Department of Transportation"], [12,"tmmm-ytt6","Checkouts by Title","This dataset includes a monthly count of Seattle Public Library checkouts by title for physical and electronic items. The dataset begins with checkouts that occurred in April 2005.","David Christensen","dataset","Community and Culture","checkout,circulation,e-book,lending,overdrive,public library,seattle public library","https://data.seattle.gov/d/tmmm-ytt6","https://data.seattle.gov/resource/tmmm-ytt6.json","01/31/2017 08:39:17 PM","03/04/2025 02:28:55 PM","08/06/2025 01:18:23 PM","false","7185","17329","Checkout Count","48327037","12","Public Domain","The Seattle Public Library","https://www.spl.org",null,"Monthly","Seattle Public Library"], [13,"33kz-ixgy","Call Data","Please review this brief video for a better understanding of how these data are created: https://www.youtube.com/watch?v=lvTCjVHxpAU\n\nThis data represents police response activity. Each row is a record of a Call for Service (CfS) logged with the Seattle Police Department (SPD) Communications Center. Calls originated from the community and range from in progress or active emergencies to requests for problem solving. Additionally, officers will log calls from their observations of the field. \n\nPrevious versions of this data set have withheld approximately 40% of calls. This updated process will release more than 95% of all calls but we will no longer provide latitude and longitude specific location data. In an effort to safeguard the privacy of our community, calls will only be located to the “beat” level. Beats are the most granular unit of management used for patrol deployment. To learn more about patrol deployment, please visit: https://www.seattle.gov/police/about-us/about-policing/precinct-and-patrol-boundaries.\n\nAs with any data, certain conditions and qualifications apply:\n\n1)\tThese data are queried from the Data Analytics Platform (DAP), and updated incrementally on a daily basis. A full refresh will occur twice a year and is intended to reconcile minor changes.\n\n2)\tThis data set only contains records of police response. If a call is queued in the system but cleared before an officer can respond, it will not be included. \n\n3)\tThese data contain administrative call types. Use the “Initial” and “Final” call type to identify the calls you wish to include in your analysis. \n\nWe invite you to engage these data, ask questions and explore.","SPD_AskSPDAnalytics@seattle.gov","dataset","Public Safety","911,calls for service,police","https://data.seattle.gov/d/33kz-ixgy","https://data.seattle.gov/resource/33kz-ixgy.json","04/13/2018 06:14:33 PM","09/01/2025 03:59:31 PM","09/01/2025 06:33:37 PM","false","32170","5381","A unique CAD Event.",null,"46","Public Domain","City of Seattle","http://www.seattle.gov/police/",null,"Daily","Seattle Police Department"], [14,"j2xh-c7vt","Rental Property Registration","A list of properties that have registered their rental units with the City of Seattle under the Rental Registration and Inspection Ordinance.","Callison, Moon","dataset","Built Environment","rental housing standards,rental property registration,sdci,seattle department of construction and inspections","https://data.seattle.gov/d/j2xh-c7vt","https://data.seattle.gov/resource/j2xh-c7vt.json","04/26/2018 02:56:08 PM","09/01/2025 12:16:31 AM","09/01/2025 12:16:35 AM","false","3437","2905","Rental Property Registration, Rental Property, Registration","28108","21","Public Domain","City of Seattle","http://www.seattle.gov/sdci",null,"Daily","Seattle Department of Construction & Inspections"], [15,"58nk-8i58","Closed Case Summaries (2024)","This table contains links to all Closed Case Summaries published online in 2024. Closed Case Summaries posted between 2015 and 2024 are available on the OPA website at https://www.seattle.gov/opa/news-and-reports/closed-case-summaries.","Eric Seely","dataset","Public Safety","office of police accountability,opa,police accountability","https://data.seattle.gov/d/58nk-8i58","https://data.seattle.gov/resource/58nk-8i58.json","01/30/2024 12:44:53 AM","08/22/2025 11:16:18 PM","08/22/2025 11:16:19 PM","false","260","235","Case","422","3","Public Domain","OPA","http://www.seattle.gov/opa",null,"Other","Office of Police Accountability"], [16,"jucr-xeky","Graffiti Reports","This data set contains selected information for Graffiti service requests.","Bolinger, Brandon","dataset","City Administration","customer,maintenance,neighborhood,service request","https://data.seattle.gov/d/jucr-xeky","https://data.seattle.gov/resource/jucr-xeky.json","04/08/2024 10:46:08 PM","09/01/2025 10:44:00 PM","09/01/2025 10:44:16 PM","false","171","4419","Customer Service Request","193586","19","Public Domain","City of Seattle",null,null,"Daily","Seattle Public Utilities"], [17,"mg5r-efcm","SPD Officer Involved Shooting (OIS) Data","Records of Officer Involved Shootings (OIS) from 2005 to the present, including a brief narrative synopsis. Beginning in Q3 2023, the summary will be replaced with a link to the FRB findings documented, prepared for public release. A link for each OIS will be embedded in the file. Data set does not contain records from active investigations. Data is visualized in a dashboard on the SPD public site (https://www.seattle.gov/police/information-and-data/use-of-force-data/officer-involved-shootings-dashboard), please reference as a guide for use. Dashboard is available for download. \n\nUpdates are posted twice a year (January and July), as cases complete the inquest process (https://kingcounty.gov/services/inquest-program.aspx). \n\nUse of force data also available here: https://data.seattle.gov/Public-Safety/Use-Of-Force/ppi5-g2bj and is updated daily. Data includes Type III - OIS.","7861 Atherley, Loren T","dataset","Public Safety","officer involved shooting,ois,police,use of force","https://data.seattle.gov/d/mg5r-efcm","https://data.seattle.gov/resource/mg5r-efcm.json","01/31/2017 01:51:00 AM","03/19/2025 10:51:22 PM","03/19/2025 10:51:23 PM","false","8243","5166","Officer Involved Shootings","189","25","Public Domain","City of Seattle","http://www.seattle.gov/police",null,"Other","Seattle Police Department"], [18,"gg89-k5p6","Paid Parking Transaction Data","The City of Seattle has made paid parking transaction data set available for public use for research and entrepreneurial purposes under the City’s Open Data Program. This dataset is derived from parking pay stations placed on streets within city limits and the paid by phone parking transactions. The dataset is downloaded nightly with the prior days paid parking transaction data.","Snyder, MaryCatherine","dataset","Transportation","paid parking,parking,pay station,sdot,transaction","https://data.seattle.gov/d/gg89-k5p6","https://data.seattle.gov/resource/gg89-k5p6.json","05/21/2020 09:36:39 PM","09/01/2025 02:14:14 PM","09/01/2025 02:14:24 PM","false","903","1058","Paid Parking Transaction","167179","12","Public Domain","City of Seattle","https://www.seattle.gov",null,"Daily","Seattle Department of Transportation"], [19,"sfav-5thy","Benchmarking Performance Ranges by Building Type 2015-Present","Summary energy and building characteristics by building type for non-residential and multifamily buildings greater than 20,000 square feet that benchmark energy data with the City of Seattle. This dataset summarizes information from the full 2015-2023 Building Energy Benchmarking dataset but excludes likely or known errors.","Mike.Roos@seattle.gov","dataset","Built Environment","benchmarking,buildings,climate change,commercial buildings,electricity,energy,energy star,eui,gas,steam","https://data.seattle.gov/d/sfav-5thy","https://data.seattle.gov/resource/sfav-5thy.json","12/13/2024 11:33:35 PM","01/30/2025 03:46:45 AM","01/07/2025 11:26:01 PM","false","71","266","Building Type by Reporting Year","207","17","Public Domain","The Office of Sustainability and Environment","http://www.seattle.gov/energybenchmarking",null,"Quarterly","Office of Sustainability and Environment"], [20,"i2q9-thny","Crisis Data","Data representing crisis contacts made by officers of the Seattle Police Department. Data is denormalized to represent the one to many relationship between the record and the reported disposition of the contact. \n\n**USE CAUTION WHEN COUNTING**","SPD_AskSPDAnalytics@seattle.gov","dataset","Public Safety","cit,crisis,police,use of force","https://data.seattle.gov/d/i2q9-thny","https://data.seattle.gov/resource/i2q9-thny.json","10/17/2017 09:16:42 PM","09/01/2025 03:47:34 PM","09/01/2025 03:48:05 PM","false","4622","7674","Each row represents the disposition of the contact. One to many relationship between the event and the disposition. **USE CAUTION WHEN COUNTING**","102594","25","Public Domain","City of Seattle","http://www.seattle.gov/police",null,"Daily","Seattle Police Department"], [21,"thn4-xyah","Sockeye Fry Condition","The size and condition of Cedar River sockeye fry has been collected most years since 2006 as part of the Cedar River Sockeye Program. Fry from both the Cedar River Hatchery operations and fry produced from adults spawning naturally in the Cedar River are measured by Washington Department of Fish and Wildlife. Data are collected as part of the Habitat Conservation Plan and Landsburg Mitigation Agreement. Methods and data summaries are available in the Hatchery Annual Reports (WDFW) and Fry Production Annual Reports (WDFW).","Carol Volk","dataset","Built Environment","cedar river,fish,fry condition,hcp,lma,salmon,sockeye","https://data.seattle.gov/d/thn4-xyah","https://data.seattle.gov/resource/thn4-xyah.json","12/12/2024 10:20:06 PM","01/30/2025 04:11:14 AM","12/12/2024 10:55:40 PM","false","92","307","Fish","21812","19","Public Domain","Seattle Public Utilities",null,null,"Annually","Seattle Public Utilities"], [22,"c4tj-daue","Electrical Permits","All electrical permits issued or in process in the city of Seattle.","Callison, Moon","dataset","Built Environment","electrical permits,electrical applications,permit applications,sdci,seattle department of construction and inspections","https://data.seattle.gov/d/c4tj-daue","https://data.seattle.gov/resource/c4tj-daue.json","04/23/2018 09:29:29 PM","09/02/2025 12:14:24 AM","09/02/2025 12:15:40 AM","false","2519","2196","Electrical Permits, Electrical, Permits","474528","24","Public Domain","City of Seattle","http://www.seattle.gov/sdci",null,"Daily","Seattle Department of Construction & Inspections"], [23,"3qih-4uwq","Code Compliance Violations by Year","Code Compliance violations by type per year. Sort the Year column by descending order to see the most recent years.","Callison, Moon","dataset","Built Environment","type of violation,code enforcement,sdci,seattle department of construction and inspections,code compliance violations by year","https://data.seattle.gov/d/3qih-4uwq","https://data.seattle.gov/resource/3qih-4uwq.json","12/12/2018 08:04:21 PM","09/02/2025 12:19:49 AM","09/01/2025 12:38:43 AM","false","299","538","Code Compliance Violations by Year, Code Compliance Violations","393","4","Public Domain","Seattle Department of Construction and Inspections",null,null,"Annually","Seattle Department of Construction & Inspections"], [24,"5c7w-tykt","King County For Hire Driver Numbers","King County For Hire Driver Numbers","Janet Donlon","dataset","City Administration","king county for hire driver","https://data.seattle.gov/d/5c7w-tykt","https://data.seattle.gov/resource/5c7w-tykt.json","11/01/2022 08:46:45 PM","09/02/2025 12:21:08 AM","09/02/2025 12:21:13 AM","false","164","114","King County For Hire Driver","26106","9","Public Domain",null,null,null,"Daily","Seattle Information Technology"], [25,"s7df-xba4","Short Term Rental License","Short-term rentals are a type of lodging sometimes called vacation rentals. A house, condo, or apartment (or a part of one) that is rented for a fee for fewer than 30 consecutive nights is a short-term rental. Short-term rental operators are required to obtain an operator license & register each rental unit on that license. This dataset lists all Short-Term Rental operator licenses & their associated units. To learn more about short-term rental regulations in Seattle, please visit: https://www.seattle.gov/business-regulations/short-term-rentals","Hollinger, Adam","dataset","City Administration",null,"https://data.seattle.gov/d/s7df-xba4","https://data.seattle.gov/resource/s7df-xba4.json","07/28/2022 07:12:32 PM","09/02/2025 12:31:58 AM","09/02/2025 12:32:01 AM","false","311","791","Rental License, License","9733","27","Public Domain",null,null,null,"Weekly","Department of Finance and Administrative Services"], [26,"heuk-48p8","2nd Ave Cycle Track South of Cedar St Bicycle Counter (Out of Service)","The counters consist of two small tube sensors stretching across the track, which are attached to a small metal counting box made by Eco-Counter. The tubes only count people riding bikes. They are very accurate and designed to be used on greenways and cycle tracks.\n\nThis counter is currently out of service and not collecting data.","Zuniga, Rafael","dataset","Transportation","monthly data,counts,bicycle,bike,seattle,sdot","https://data.seattle.gov/d/heuk-48p8","https://data.seattle.gov/resource/heuk-48p8.json","11/07/2018 07:56:22 PM","01/29/2025 03:43:10 PM","04/03/2020 07:57:26 PM","false","288","1128","Hour of Day","18288","4","Public Domain","Seattle Department of Transportation",null,null,"Monthly","Seattle Department of Transportation"], [27,"675b-cqew","Westlake PBL at Newton St Bicycle Counter (Out of Service)","Due to hardware issues, this counter is no longer in service. Counts are conducted using tubes on a quarterly basis.\n\nThe counters consist of two small tube sensors stretching across the path, which are attached to a small metal counting box made by Eco-Counter. The tubes only count people riding bikes. They are very accurate and designed to be used on greenways and cycle tracks.","Zuniga, Rafael","dataset","Transportation","bike,bicycle,counts,monthly data,sdot,seattle","https://data.seattle.gov/d/675b-cqew","https://data.seattle.gov/resource/675b-cqew.json","11/07/2018 08:38:59 PM","01/29/2025 05:30:23 AM","11/12/2021 11:45:25 PM","false","288","1046","bike, count","31118","4","Public Domain","Seattle Department of Transportation",null,null,"Monthly","Seattle Department of Transportation"], [28,"bwk6-iycu","2022 Paid Parking Occupancy","The City of Seattle has created an on-street paid parking occupancy data set and is providing access to this data set for public use for research and entrepreneurial purposes under the City’s Open Data Program. This data set contains all records for 2022.","Snyder, MaryCatherine","dataset","Transportation","curbspace,parking,pay stations,sdot","https://data.seattle.gov/d/bwk6-iycu","https://data.seattle.gov/resource/bwk6-iycu.json","01/25/2023 11:59:09 PM","03/04/2025 02:28:56 PM","01/26/2023 08:56:51 PM","false","164","472","Paid parking transaction","263654114","12","Public Domain","Seattle Department of Transportation","http://www.seattle.gov/transportation/projects-and-programs/programs/parking-program/maps-and-data",null,"One Time","Seattle Department of Transportation"], [29,"uh8h-bme7","Chief Sealth Trail North of Thistle Bicycle Counter (Out of Service)","Due to hardware issues, this counter is no longer in service. Counts are conducted using tubes on a quarterly basis.\n\nPrevious counter counted both people riding bikes and pedestrians. Separate volumes are tallied for each travel mode. Wires in a diamond formation in the concrete detect bikes and an infrared sensor mounted on a wooden post detects pedestrians. The counters also capture the direction of travel for both bikes and pedestrians.","Zuniga, Rafael","dataset","Transportation","bicycle,bike,counts,monthly data,pedestrian,sdot,seattle","https://data.seattle.gov/d/uh8h-bme7","https://data.seattle.gov/resource/uh8h-bme7.json","02/04/2014 04:28:11 PM","01/30/2025 04:21:20 AM","11/12/2021 11:32:22 PM","false","2194","2863","Bike, Count","29174","6","Public Domain","City of Seattle",null,null,"Monthly","Seattle Department of Transportation"], [30,"3rv8-t4pb","Civil Rights Training and Outreach Events by Month, 2017-Present","The Enforcement Division of the Seattle Office for Civil Rights provides training and participates in outreach events. This dataset shows the number of events each month.","Beach, Monica","dataset","City Administration","civil rights,disability,discrimination,office of civil rights,outreach,race,race and ethnicity,rights,training","https://data.seattle.gov/d/3rv8-t4pb","https://data.seattle.gov/resource/3rv8-t4pb.json","03/07/2024 07:08:15 PM","08/14/2025 09:36:11 PM","08/14/2025 09:36:12 PM","false","108","216","An event","18","15","Public Domain","Office of Civil Rights",null,null,"Monthly","Seattle Office for Civil Rights"], [31,"2qns-g7s7","Seattle Police Disciplinary Appeals","This table shows all disciplinary appeals by Seattle Police officers since 2016. The Seattle City Attorney's Office Employment Section handles all employee appeals of discipline and shares status updates with OPA. \n\nMultiple rows with the same OPA case number indicate more than one officer appealed discipline under that case.","Eric Seely","dataset","Public Safety","appeal,appeals,discipline,police,police accountability,spd appeals","https://data.seattle.gov/d/2qns-g7s7","https://data.seattle.gov/resource/2qns-g7s7.json","06/10/2020 12:46:45 AM","03/04/2025 02:28:57 PM","02/20/2024 11:48:16 PM","false","569","347","Officer appeal","124","8","Public Domain","OPA",null,null,"Other","Office of Police Accountability"], [32,"m33m-84uk","Closed Case Summaries (2022-2023)","This table contains links to all Closed Case Summaries published online in 2022 and 2023. Closed Case Summaries posted between 2015 and 2021 are available on the OPA website at https://www.seattle.gov/opa/news-and-reports/closed-case-summaries.","Eric Seely","dataset","Public Safety","investigation,office of police accountability,opa,police accountability","https://data.seattle.gov/d/m33m-84uk","https://data.seattle.gov/resource/m33m-84uk.json","01/03/2022 05:02:17 PM","03/04/2025 02:28:57 PM","06/18/2024 05:05:44 AM","false","556","324","Case","533","3","Public Domain","OPA","http://www.seattle.gov/opa",null,"Other","Office of Police Accountability"], [33,"v5tj-kqhc","Seattle Parks And Recreation Park Addresses","Seattle Parks and Recreation Park Addresses with X and Y coordinates","kylegriggs","dataset","Community and Culture","address,addresses,parks,recreation,seattle","https://data.seattle.gov/d/v5tj-kqhc","https://data.seattle.gov/resource/v5tj-kqhc.json","03/11/2016 05:51:33 PM","01/30/2025 04:25:47 AM","05/29/2024 08:55:29 PM","false","2502","2433","row","412","12","Public Domain","City of Seattle","http://www.seattle.gov/parks",null,"Annually","Seattle Parks and Recreation"], [34,"rjzv-bp3r","Commercial Vehicle License Plates for 3rd Ave Camera Enforcement","Commercial Vehicle Load Zones (CVLZ) were established to provide a special parking space for service delivery vehicles to stop on busy streets. This dataset shows which vehicles have access to the 3rd Ave restricted travel zone to vehicles with the CVLZ permit.","Bobby Lindsey","dataset","Transportation","commercial,parking,sdot,vehicle,zone","https://data.seattle.gov/d/rjzv-bp3r","https://data.seattle.gov/resource/rjzv-bp3r.json","12/02/2024 10:25:54 PM","09/01/2025 09:49:21 PM","09/01/2025 09:49:21 PM","false","99","206","Commercial Vehicle License Plate","2438","3","Public Domain","SDOT",null,null,"Daily","Seattle Department of Transportation"], [35,"tazs-3rd5","SPD Crime Data: 2008-Present","The Seattle Police Department (SPD) replaced its Records Management System (RMS) in May 2019. To preserve data quality and continuity between systems (2008-Present), SPD relied on the National Incident-Based Reporting System (NIBRS). The standardization of crime classifications allows for comparison over time. For more information on definitions and classifications, please visit https://www.fbi.gov/services/cjis/ucr/nibrs. \n\nAdditional groupings are used to analyze crime in SPD’s Crime Dashboard. Violent and property crime categories align with best practices. For additional inquiries, we encourage the use of the underline data to align with the corresponding query. \n\nDisclaimer: Only finalized (UCR approved) reports are released. Those in draft, awaiting approval, or completed after the update, will not appear until the subsequent day(s). Data is updated once every twenty-four hours. Records and classification changes will occur as a report makes its way through the approval and investigative process.","SPD_AskSPDAnalytics@seattle.gov","dataset","Public Safety","beat,crime,data-driven,mcpp,nibrs,offenses,seastat","https://data.seattle.gov/d/tazs-3rd5","https://data.seattle.gov/resource/tazs-3rd5.json","02/14/2020 05:57:12 PM","09/01/2025 03:43:19 PM","09/01/2025 03:45:31 PM","false","11706","8573","Crime Data: 2008-Present","1478041","19","Public Domain","SPD",null,null,"Daily","Seattle Police Department"], [36,"tpvk-5fr3","COBAN Logs","Note: The dataset is no longer being updated as the COBAN video system is no longer in use, and it will be removed from data.seattle.gov on 12/31/2023.\n\nThis dataset includes Police In-Car video activities. Data shows activity of In-Car recorded video including, Officer Serial Number, Start (Date & Time) of video, post recording activity code and description. Data is refreshed on a weekly basis. Data is records of video and does not imply that there is actual playable video associated.","spd2internetData","dataset","Public Safety","coban logs","https://data.seattle.gov/d/tpvk-5fr3","https://data.seattle.gov/resource/tpvk-5fr3.json","01/10/2015 08:19:45 PM","01/30/2025 04:14:12 AM","12/06/2021 04:30:06 PM","false","34937","7887","COBAN Logs","69439659","6","Public Domain","City of Seattle",null,null,"Daily","Seattle Police Department"], [37,"6gnm-7jex","Current Fleet Surplus/Auction List","Most recent list of fleet equipment sent to auction","Lucy.Bonomo@seattle.gov","dataset","City Administration",null,"https://data.seattle.gov/d/6gnm-7jex","https://data.seattle.gov/resource/6gnm-7jex.json","03/25/2014 05:01:36 PM","08/19/2025 10:25:45 PM","08/19/2025 10:25:46 PM","false","175308","4387","Equipment","112","15","Public Domain","City of Seattle",null,null,"Monthly","Department of Finance and Administrative Services"], [38,"axkr-2p68","Building Certificates of Occupancy","Building Certificates of Occupancy","Renu Kushwaha","dataset","City Administration","buildings,occupancy,permits","https://data.seattle.gov/d/axkr-2p68","https://data.seattle.gov/resource/axkr-2p68.json","05/30/2025 08:57:44 PM","09/01/2025 04:14:17 PM","09/01/2025 04:14:18 PM","false","182","610","Building Permit","5020","6","Public Domain","Seattle Department of Construction & Inspections","https://services.seattle.gov/Portal/Customization/SEATTLE/welcome.aspx",null,"Daily","Seattle Department of Construction & Inspections"], [39,"5src-czff","Checkouts By Title (Physical Items)","This dataset includes a log of all physical item checkouts from Seattle Public Library. The dataset begins with checkouts that occurring in April 2005. Data from 2005 to 2016 in this dataset is from digital artwork \"Making Visible the Invisible\" by studios of George Legrady. Learn more about this contribution. Renewals are not included. Have a question about this data? Ask us!\n\nData Notes:\nThere is a machine-readable data dictionary available to help you understand the collection and item codes. Access from here:\n\nhttps://data.seattle.gov/Community/Integrated-Library-System-ILS-Data-Dictionary/pbt3-ytbc\n\nAlso:\n1. \"CheckoutDateTime\" (the timestamp field) is rounded to the nearest minute.\n2. \"itemType\" is a code from the catalog record that describes the type of item. Some of the more common codes are: acbk (adult book), acdvd (adult DVD), jcbk (children's book), accd (adult CD)\n3. \"Collection\" is a collection code from the catalog record which describes the item. Here are some common examples: nanf (adult non-fiction), nafic(adult fiction), ncpic(children's picture book), nycomic (Young adult comic books).\n4. \"Subjects\" includes the subjects and subject subdivisions from the item record.","David Christensen","dataset","Community and Culture","checkout,circulation,seattle public library,spl","https://data.seattle.gov/d/5src-czff","https://data.seattle.gov/resource/5src-czff.json","03/21/2017 09:06:05 PM","01/29/2025 05:28:17 AM","09/01/2025 01:45:46 PM","false","1171","3653","Checkout count","108917971","10","Public Domain","City of Seattle","https://www.spl.org",null,"Daily","Seattle Public Library"], [40,"3h7e-f49s","39th Ave NE Greenway at NE 62nd St Bicycle Counter (Out of Service)","The counters consist of two small tube sensors stretching across the street, which are attached to a small metal counting box made by Eco-Counter. The tubes only count people riding bikes. They are very accurate and designed to be used on greenways.\n\nThis sensor is currently out of service, and no longer collecting data.","Zuniga, Rafael","dataset","Transportation","seattle,bicycle,sdot,pedestrian,monthly data,counts,bike","https://data.seattle.gov/d/3h7e-f49s","https://data.seattle.gov/resource/3h7e-f49s.json","02/04/2014 04:51:24 PM","01/29/2025 04:38:39 AM","06/01/2018 08:28:17 PM","false","3857","3205","Hour of Day","38664","4","Public Domain","City of Seattle",null,null,"Monthly","Seattle Department of Transportation"], [41,"4qej-qvrz","Elliott Bay Trail in Myrtle Edwards Park Bicycle and Pedestrian Counter","Counting hardware was replaced summer 2024.\n\nThese sensors counts both people riding bikes and pedestrians. Separate volumes are tallied for each travel mode. Wires in a diamond formation in the concrete detect bikes and an infrared sensor mounted on a wooden post detects pedestrians. The counters also capture the direction of travel for both bikes and pedestrians.\n\nThe temporary counter data from 5/10/2013 to 12/11/2013 have been combined to this data set which counted only bikes and not pedestrians.","Jennifer.Manu@seattle.gov","dataset","Transportation","bicycle,bike,counts,monthly data,pedestrian,sdot,seattle","https://data.seattle.gov/d/4qej-qvrz","https://data.seattle.gov/resource/4qej-qvrz.json","02/04/2014 04:34:12 PM","08/06/2025 06:49:41 PM","08/06/2025 06:49:42 PM","false","3516","3215","Bike counts","92797","6","Public Domain","City of Seattle",null,null,"Monthly","Seattle Department of Transportation"], [42,"q76w-bfs5","Capital Projects Input Data","Capital Projects Input Data","Capital Projects","dataset","Land Base",null,"https://data.seattle.gov/d/q76w-bfs5","https://data.seattle.gov/resource/q76w-bfs5.json","04/08/2020 08:13:55 PM","04/28/2025 09:36:13 PM","11/15/2021 03:07:03 PM","false","326","235",null,"170","9",null,null,null,null,"One Time","Seattle Department of Transportation"], [43,"m6va-m4qe","City of Seattle Capital Budget","City of Seattle Capital Budget. The data feeds the Capital Budget information on openbudget.seattle.gov.","Nicole Evans","dataset","City Administration","budget,capital,capital budget","https://data.seattle.gov/d/m6va-m4qe","https://data.seattle.gov/resource/m6va-m4qe.json","09/26/2017 10:45:44 PM","01/29/2025 05:28:12 PM","11/05/2024 02:04:55 AM","false","442","1270","Capital Budget","37699","7","Public Domain","City of Seattle",null,null,"One Time","Budget Office"], [44,"bb86-nj6i","Discrimination Complaints Filed by Month and Type, 2017-Present","A discrimination complaint is filed when a formal charge is received at the Seattle Office for Civil Rights. This dataset shows the number of complaints filed by year, month, and type.","Beach, Monica","dataset","City Administration","civil rights,complaints,disability,discrimination,office of civil rights,race,race and ethnicity","https://data.seattle.gov/d/bb86-nj6i","https://data.seattle.gov/resource/bb86-nj6i.json","03/07/2024 09:30:42 PM","08/14/2025 09:35:19 PM","08/14/2025 09:35:21 PM","false","112","226","complaint","61","15","Public Domain","Office of Civil Rights",null,null,"Monthly","Seattle Office for Civil Rights"], [45,"6vkj-f5xf","Library Collection Inventory","The Seattle Public Library's collection inventory. \n\nThere is a data dictionary available to help you understand the codes used in the \"ItemCollection\", \"ItemType\" and \"ItemLocation\" columns. Access here:\nhttps://data.seattle.gov/Community/Integrated-Library-System-ILS-Data-Dictionary/pbt3-ytbc","David Christensen","dataset","Community and Culture","catalog,circulation,public library,seattle public library,spl","https://data.seattle.gov/d/6vkj-f5xf","https://data.seattle.gov/resource/6vkj-f5xf.json","08/24/2017 08:48:36 PM","01/29/2025 05:42:53 AM","08/06/2025 12:24:45 PM","false","4825","20127","an item count for a bibliographic record at a point in time","142911877","13","Public Domain","City of Seattle","http://www.spl.org/",null,"Monthly","Seattle Public Library"], [46,"35qv-xtws","Taps Tracker -- Water Service Application Status","Learn about the status of your water service project. Please have your project address or invoice number ready to search your project status.","SPU Web Team","dataset","Built Environment",null,"https://data.seattle.gov/d/35qv-xtws","https://data.seattle.gov/resource/35qv-xtws.json","03/19/2019 09:52:57 PM","08/29/2025 04:15:45 PM","08/29/2025 04:15:46 PM","false","1322","772","Project","2087","9","Public Domain","Seattle Public Utilities",null,null,"Daily","Seattle Public Utilities"], [47,"ppi5-g2bj","Use Of Force","Records representing Use of Force (UOF) by sworn law enforcement officers of the Seattle Police Department.","SPD_AskSPDAnalytics@seattle.gov","dataset","Public Safety","spd,use of force","https://data.seattle.gov/d/ppi5-g2bj","https://data.seattle.gov/resource/ppi5-g2bj.json","01/28/2017 07:55:05 PM","09/01/2025 03:53:42 PM","09/01/2025 03:53:45 PM","false","12952","4481","Unique ID","18457","11","Public Domain","City of Seattle",null,null,"Daily","Seattle Police Department"], [48,"ium9-iqtc","Street Closures","Short Term Street Closures from issued Street Use permits. These permits are only the closures permitted for non-construction activities, including Block Parties, Play Streets, Farmers markets and Cafe Streets. This dataset does not include closures for parades, festivals, or construction related activities.","SDOT Street Use Data","dataset","Built Environment","closures,permit,sdot,seattle department of transportation,street closures,streets,street use,transportation","https://data.seattle.gov/d/ium9-iqtc","https://data.seattle.gov/resource/ium9-iqtc.json","05/04/2021 05:57:15 PM","01/29/2025 04:09:41 PM","09/01/2025 10:01:04 PM","false","183","292","street block (pavement from intersection to intersection) that is closed for a recurring (by day of week) or continuous period of time","163","18","Public Domain","Seattle Department of Transportation","https://cosaccela.seattle.gov/portal/welcome.aspx",null,"Daily","Seattle Department of Transportation"], [49,"v4q3-5hvp","Public Life Data - Geography","A GeoJSON file with polygons of every location studied.\n\n------------------------------------------\n\nThe City of Seattle Department of Transportation (SDOT) is providing data from the public life studies it has conducted since 2017. These studies consist of measuring the number of people using public space and the types of activities present on select sidewalks across the city, as well as several parks and plazas. The data set is continually updated as SDOT and other parties conduct public life studies using Gehl Institute’s Public Life Data Protocol.\n\nThis dataset consists of four component spreadsheets and a GeoJSON file, which provide public life data as well as information about the study design and study locations:\n\n1 Public Life Study: provides details on the different studies that have been conducted, including project information.\nhttps://data.seattle.gov/Transportation/Public-Life-Data-Study/7qru-sdcp\n\n2 Public Life Location: provides details on the sites selected for each study, including various attributes to allow for comparison across sites.\nhttps://data.seattle.gov/Transportation/Public-Life-Data-Locations/fg6z-cn3y\n\n3 Public Life People Moving: provides data on people moving through space, including total number observed, gender breakdown, group size, and age groups.\nhttps://data.seattle.gov/Transportation/Public-Life-Data-People-Moving/7rx6-5pgd\n\n4 Public Life People Staying: provides data on people staying still in the space, including total number observed, demographic data, group size, postures, and activities.\nhttps://data.seattle.gov/Transportation/Public-Life-Data-People-Staying/5mzj-4rtf\n\n5 Public Life Geography: A GeoJSON file with polygons of every location studied.\n\nPlease download and refer to the Public Life metadata document - in the attachment section below - for comprehensive information about all of the Public Life datasets.","Public Life Program","dataset","Community and Culture","people moving,people staying,public life,public space,sdot,sidewalks,streets,survey,transportation,vibrancy","https://data.seattle.gov/d/v4q3-5hvp","https://data.seattle.gov/resource/v4q3-5hvp.json","06/03/2020 05:18:05 PM","01/30/2025 04:24:55 AM","02/07/2023 12:17:43 AM","false","210","418","outline shape of the area studied","127","2","Public Domain","Seattle Department of Transportation",null,null,"Other","Seattle Department of Transportation"], [50,"pafy-bfmu","OPA Complaint Tracker","Office of Professional Accountability Complaint Tracker Status.\nMaking the work of the OPA transparent promotes the confidence of both the public and the employees of the department. OPA provides data status of complaints filed and issues of community concern.","Eric Seely","dataset","Public Safety","opa","https://data.seattle.gov/d/pafy-bfmu","https://data.seattle.gov/resource/pafy-bfmu.json","03/25/2015 08:41:24 PM","08/26/2025 06:12:07 PM","08/26/2025 06:12:11 PM","false","3482","2393","Row","10004","11","Public Domain","City of Seattle",null,null,"Other","Office of Police Accountability"], [51,"k7a5-emiw","Seattle Police Department In-Car Video Dropped Frame Report","Seattle Police Department In-Car Video Dropped Frame Report","spd2internetData","dataset","Public Safety",null,"https://data.seattle.gov/d/k7a5-emiw","https://data.seattle.gov/resource/k7a5-emiw.json","08/21/2014 05:08:55 PM","01/29/2025 04:50:26 PM","11/30/2021 09:15:08 PM","false","32031","2134","Seattle Police","174842","12","Public Domain","City of Seattle",null,null,"Other","Seattle Police Department"], [52,"5ngg-rpne","Customer Service Requests","This data set contains selected information for service requests, for service request types that are or were available to the public via the Customer Service Requests web portal and/or Find It, Fix It mobile app.","Bolinger, Brandon","dataset","City Administration","customer,neighborhood,service request","https://data.seattle.gov/d/5ngg-rpne","https://data.seattle.gov/resource/5ngg-rpne.json","04/08/2024 10:00:20 PM","09/01/2025 03:48:51 PM","09/01/2025 03:55:50 PM","false","278","2310","Customer Service Request","2160219","16","Public Domain","City of Seattle",null,null,"Daily","Department of Finance and Administrative Services"], [53,"ez4a-iug7","Code Complaints and Violations","All code compliance complaints and violations that SDCI is reviewing and processing.","Callison, Moon","dataset","Built Environment","code compliance,complaints,violations,housing,safety,seattle department of construction and inspections,sdci,code complaints and violations","https://data.seattle.gov/d/ez4a-iug7","https://data.seattle.gov/resource/ez4a-iug7.json","05/16/2018 07:07:12 PM","09/02/2025 12:27:01 AM","09/02/2025 12:27:56 AM","false","18174","4299","Code Complaints and Violations, Complaints, Violations","228114","21","Public Domain","City of Seattle","http://www.seattle.gov/sdci",null,"Daily","Seattle Department of Construction & Inspections"], [54,"ht3q-kdvx","Land Use Permits","Land Use permits that are in progress or that have been issued in Seattle.","Callison, Moon","dataset","Built Environment","land use permits,master use permits,land use applications,early design guidance,building applications,permit applications,sdci,seattle department of construction and inspections","https://data.seattle.gov/d/ht3q-kdvx","https://data.seattle.gov/resource/ht3q-kdvx.json","04/10/2018 10:56:26 PM","09/02/2025 12:15:58 AM","09/02/2025 12:16:03 AM","false","5657","4543","Land Use Permits, Land Use, Permits","23897","28","Public Domain","City of Seattle","http://www.seattle.gov/sdci",null,"Daily","Seattle Department of Construction & Inspections"], [55,"rke9-rsvs","Paid Parking Occupancy (Last 30 Days)","The City of Seattle has created an on-street paid parking occupancy data set and is providing access to this data set for public use for research and entrepreneurial purposes under the City’s Open Data Program. This data set contains the last 30 days of paid occupancy records (after the seven day data delay).","Snyder, MaryCatherine","dataset","Transportation","curb space,parking,pay stations,sdot","https://data.seattle.gov/d/rke9-rsvs","https://data.seattle.gov/resource/rke9-rsvs.json","09/21/2018 06:25:02 PM","03/04/2025 02:28:58 PM","09/02/2025 12:40:10 AM","false","1574","935","Paid parking occupancy (rate of compliance of payment)",null,"12","Public Domain","Seattle Department of Transportation","http://www.seattle.gov/transportation/projects-and-programs/programs/parking-program/maps-and-data",null,"Weekly","Seattle Department of Transportation"], [56,"avwm-i8ym","2nd Ave Cycle Track North of Marion St Bicycle Counter","The counter consist on Inductive loops on the pathway that count the passing of bicycles with travel direction. They are very accurate and designed to be used on greenways and cycle tracks","Jennifer.Manu@seattle.gov","dataset","Transportation","bicycle,bike,counts,monthly data,pedestrian,sdot,seattle","https://data.seattle.gov/d/avwm-i8ym","https://data.seattle.gov/resource/avwm-i8ym.json","10/12/2015 05:13:07 PM","08/06/2025 06:44:15 PM","08/06/2025 06:44:16 PM","false","2320","2744","Row","92797","4","Public Domain","City of Seattle",null,null,"Monthly","Seattle Department of Transportation"], [57,"ra8u-g2xi","Street Use Review Times","Monthly review times for Street Use permits.","SDOT Street Use Data","dataset","Built Environment","permit applications,review timeline,sdot,seattle department of transportation,street use,transportation","https://data.seattle.gov/d/ra8u-g2xi","https://data.seattle.gov/resource/ra8u-g2xi.json","10/30/2023 09:38:19 PM","08/05/2025 01:02:56 AM","08/05/2025 01:02:56 AM","false","320","301","Permit review timeline","542","5","Public Domain","Seattle Department of Transportation",null,null,"Monthly","Seattle Department of Transportation"], [58,"upms-nr8w","Spokane St Bridge Bicycle Counter","The Spokane Bridge Bicycle Counter records the number of bikes that cross the bridge using the pedestrian/bicycle pathway on the south side. Inductive loops on the pathway count the passing of bicycles with travel direction. The data consists of a date/time field, east pathway count field and west pathway count field. The count fields represent the total bicycles detected during the specified one hour period.","Jennifer.Manu@seattle.gov","dataset","Transportation",null,"https://data.seattle.gov/d/upms-nr8w","https://data.seattle.gov/resource/upms-nr8w.json","02/04/2014 04:57:57 PM","08/18/2025 05:16:22 PM","08/18/2025 05:16:22 PM","false","2477","2623","Hour of Day","104389","4","Public Domain","City of Seattle",null,null,"Monthly","Seattle Department of Transportation"], [59,"k6nc-7s8x","Civil Rights Customer Inquiries by Month","An inquiry is counted when a customer contacts the Seattle Office for Civil Rights (SOCR) about a potential violation of civil rights laws. This dataset breaks down the amount of inquiries by month.","Beach, Monica","dataset","City Administration","civil rights,discrimination","https://data.seattle.gov/d/k6nc-7s8x","https://data.seattle.gov/resource/k6nc-7s8x.json","09/27/2017 10:24:22 PM","08/14/2025 09:38:02 PM","08/14/2025 09:38:03 PM","false","440","1809","N/A","103","3","Public Domain","City of Seattle","https://www.seattle.gov/civilrights",null,"Monthly","Seattle Office for Civil Rights"], [60,"7qru-sdcp","Public Life Data - Study","Provides details on the different studies that have been conducted, including project information.\n\n------------------------------------------\n\nThe City of Seattle Department of Transportation (SDOT) is providing data from the public life studies it has conducted since 2017. These studies consist of measuring the number of people using public space and the types of activities present on select sidewalks across the city, as well as several parks and plazas. The data set is continually updated as SDOT and other parties conduct public life studies using Gehl Institute’s Public Life Data Protocol.\n\nThis dataset consists of four component spreadsheets and a GeoJSON file, which provide public life data as well as information about the study design and study locations:\n\n1 Public Life Study: provides details on the different studies that have been conducted, including project information.\n\n2 Public Life Location: provides details on the sites selected for each study, including various attributes to allow for comparison across sites.\nhttps://data.seattle.gov/Transportation/Public-Life-Data-Locations/fg6z-cn3y\n\n3 Public Life People Moving: provides data on people moving through space, including total number observed, gender breakdown, group size, and age groups.\nhttps://data.seattle.gov/Transportation/Public-Life-Data-People-Moving/7rx6-5pgd\n\n4 Public Life People Staying: provides data on people staying still in the space, including total number observed, demographic data, group size, postures, and activities.\nhttps://data.seattle.gov/Transportation/Public-Life-Data-People-Staying/5mzj-4rtf\n\n5 Public Life Geography: A GeoJSON file with polygons of every location studied.\nhttps://data.seattle.gov/Transportation/Public-Life-Data-Geography/v4q3-5hvp\n\nPlease download and refer to the Public Life metadata document - in the attachment section below - for comprehensive information about all of the Public Life datasets.","Public Life Program","dataset","Community and Culture","people moving,people staying,public life,public space,sdot,sidewalks,streets,survey,transportation","https://data.seattle.gov/d/7qru-sdcp","https://data.seattle.gov/resource/7qru-sdcp.json","06/03/2020 09:29:15 PM","01/29/2025 06:05:04 AM","02/06/2023 11:52:46 PM","false","218","357","study","6","9","Public Domain","Seattle Department of Transportation",null,null,"Other","Seattle Department of Transportation"], [61,"293h-ej5h","SPU Solid Waste Tons and Trips Data","SPU Solid Waste Tons and Trips provides daily collection tonnages from the residential sector that are collected by contracted haulers. The data provides a full accounting of residential garbage, recycling, organics curbside collections. Commercial, self-haul and C&D are not included. Data from private transfer stations is not included. For more information see https://www.seattle.gov/utilities/about/plans/solid-waste/about-solid-waste.","mharsch","dataset","Built Environment","facility,garbage,organics,recycle,residential,self-haul,solid waste,tonnage,yard waste","https://data.seattle.gov/d/293h-ej5h","https://data.seattle.gov/resource/293h-ej5h.json","01/05/2023 07:15:09 PM","09/01/2025 12:43:49 PM","09/01/2025 12:43:56 PM","false","266","806","SPU Solid Waste Tons and Trips","33911","8","Public Domain","SPU",null,null,"Daily","Seattle Public Utilities"], [62,"dm95-f8w5","Special Events Permits","Applications received and Special Event permits issued by Special Events Office, Office of Economic Development, since 2019","Hannah.Tyo@seattle.gov","dataset","Community and Culture","demonstrations,events,fairs,festivals,marches,parades,permits,rallies","https://data.seattle.gov/d/dm95-f8w5","https://data.seattle.gov/resource/dm95-f8w5.json","02/07/2017 11:27:16 PM","01/29/2025 06:48:57 AM","01/08/2025 05:26:06 PM","false","1202","2788","Application file","2018","15","Public Domain","City of Seattle",null,null,"Annually","Department of Economic Development"], [63,"eyde-ia6x","Street Use Permit Applications Public Notices","Street Use Notice of Public Comment Period: Listed below are Street Use proposals currently open to public comment and those with a recent permitting decision. For questions or to request more information about a proposal, email publicspace@seattle.gov with the application number and location included.","Arlene.Tran@seattle.gov","dataset","Built Environment","food truck,public comment,public space management,sdot,seattle department of transportation,sidewalk cafe,street use","https://data.seattle.gov/d/eyde-ia6x","https://data.seattle.gov/resource/eyde-ia6x.json","02/09/2023 12:24:52 AM","09/01/2025 03:53:23 PM","09/01/2025 03:53:24 PM","false","812","235","Street use permit","3","11","Public Domain",null,null,null,"Daily","Seattle Department of Transportation"], [64,"s72h-pqjm","Traffic Counts Studies by Type","This table provides the type of study performed, for better understanding of the data. Studies can be performed for multiple reasons and will show up multiple times in this table. The SDOT Traffic Counts group runs studies across the city to collect traffic volumes. Most studies are done with pneumatic tubes, but some come from video systems as well. Use the field study_id to match it with other tables for more information.","Conor, Jeffrey","dataset","Transportation","counts,traffic counts","https://data.seattle.gov/d/s72h-pqjm","https://data.seattle.gov/resource/s72h-pqjm.json","01/11/2023 03:33:17 PM","09/01/2025 10:50:13 PM","09/01/2025 10:50:15 PM","false","185","259","Type of study by study ID. Each study ID can have multiple types of studies.","86621","2","Public Domain","SDOT Traffic Counts Group",null,null,"Daily","Seattle Department of Transportation"], [65,"76t5-zqzr","Building Permits","All building permits issued or in progress within the city of Seattle.","Callison, Moon","dataset","Built Environment","building applications,building permits,construction permits,permit applications,sdci,seattle department of construction and inspections","https://data.seattle.gov/d/76t5-zqzr","https://data.seattle.gov/resource/76t5-zqzr.json","07/06/2017 11:41:05 PM","09/01/2025 01:23:36 AM","09/01/2025 01:24:41 AM","false","32163","14212","Building Permits, Permits","183730","29","Public Domain","City of Seattle","http://www.seattle.gov/sdci",null,"Daily","Seattle Department of Construction & Inspections"], [66,"enxu-fgzb","Active Fleet Complement","The City of Seattle's active fleet equipment complement is dynamic. This list is updated on a monthly basis.","Lucy.Bonomo@seattle.gov","dataset","City Administration","cars,equipment,fleet,trucks","https://data.seattle.gov/d/enxu-fgzb","https://data.seattle.gov/resource/enxu-fgzb.json","02/04/2014 10:36:58 PM","08/19/2025 10:24:25 PM","08/19/2025 10:24:27 PM","false","19500","3815","Equipment","4204","14","Public Domain","City of Seattle","http://www.seattle.gov",null,"Monthly","Department of Finance and Administrative Services"], [67,"gm8h-9449","SDOT Drawbridge Status","SDOT manages several drawbridges/movable bridges in the City. Their status is monitored automatically and recorded in this table. Please note this data is not checked before publishing and may contain errors or omissions. For example, sometimes a bridge must be moved a few times to get it fully settled and that may show in the data as multiple openings/closings, when in reality it was one bridge event. The sensors may fail and a bridge will still open/close and not be recorded in this dataset.","Conor, Jeffrey","dataset","Transportation","counts","https://data.seattle.gov/d/gm8h-9449","https://data.seattle.gov/resource/gm8h-9449.json","01/14/2025 05:36:04 PM","09/01/2025 09:37:07 AM","09/01/2025 09:37:09 AM","false","386","198","Complete movement of a bridge.","7477","8","Public Domain",null,null,null,"Daily","Seattle Department of Transportation"], [68,"wnbq-64tb","Active Business License Tax Certificate","This dataset contains active business license tax certificate data for the City of Seattle","Fleming, PaulJD FAS","dataset","City Administration","business,license,tax","https://data.seattle.gov/d/wnbq-64tb","https://data.seattle.gov/resource/wnbq-64tb.json","07/10/2018 08:26:54 PM","09/01/2025 04:54:22 PM","09/01/2025 04:54:44 PM","false","3163","16773","active business license tax certificate","79036","13","Public Domain","Department of Finance and Administrative Services","http://www.seattle.gov",null,"Daily","Department of Finance and Administrative Services"], [69,"uxxb-mmuq","Seattle Rescue Plan","This dataset contains information on all Seattle Rescue Plan programs, their objectives, and budgeted and spending amounts. The Seattle Rescue Plan encompasses nearly $300 million of federal relief the City of Seattle received to help our community respond to and recover from the COVID-19 pandemic’s health and economic impacts. This data will be updated on a quarterly basis to reflect changes in expenditures.","Laura Bet","dataset","City Administration",null,"https://data.seattle.gov/d/uxxb-mmuq","https://data.seattle.gov/resource/uxxb-mmuq.json","07/27/2022 09:41:26 PM","01/30/2025 04:23:03 AM","03/01/2024 08:37:38 PM","false","265","261","Seattle Rescue Plan,Rescue Plan","86","13","Public Domain","CBO",null,null,"Quarterly","Budget Office"], [70,"xrnu-8eiq","Park Features By PMAID","This dataset contains a list of features for each park PMAID.","kylegriggs","dataset","Community and Culture",null,"https://data.seattle.gov/d/xrnu-8eiq","https://data.seattle.gov/resource/xrnu-8eiq.json","07/20/2016 11:20:51 PM","03/04/2025 02:29:02 PM","10/04/2024 04:55:14 PM","false","1841","2412","Park Feature","1045","3","Public Domain","City of Seattle",null,null,"Other","Seattle Parks and Recreation"], [71,"k7ra-jqqe","Unauthorized Encampment Reports","This data set contains selected information for Unauthorized Encampment service requests.","Bolinger, Brandon","dataset","City Administration","customer,human services,neighborhood,service request","https://data.seattle.gov/d/k7ra-jqqe","https://data.seattle.gov/resource/k7ra-jqqe.json","04/08/2024 11:03:31 PM","09/01/2025 04:17:54 PM","09/01/2025 04:18:13 PM","false","175","365","Customer Service Request","221484","19","Public Domain","City of Seattle",null,null,"Daily","Human Services Department"], [72,"8u2j-imqx","City of Seattle Operating Budget","City of Seattle Operating Budget","Nicole Evans","dataset","City Administration","budget","https://data.seattle.gov/d/8u2j-imqx","https://data.seattle.gov/resource/8u2j-imqx.json","09/26/2017 10:28:00 PM","01/29/2025 06:12:53 AM","11/05/2024 02:05:58 AM","false","746","986","Budget","36352","9","Public Domain","City of Seattle",null,null,"One Time","Budget Office"], [73,"f8kp-sfr3","Closed Case Summaries (2020 - 2021)","This table contains links to all Closed Case Summaries published online from 2020 through 2021. Closed Case Summaries posted between 2015 and 2019 are available on the OPA website at https://www.seattle.gov/opa/news-and-reports/closed-case-summaries.","Eric Seely","dataset","Public Safety","office of police accountability,opa,police accountability","https://data.seattle.gov/d/f8kp-sfr3","https://data.seattle.gov/resource/f8kp-sfr3.json","01/16/2020 06:21:51 PM","03/04/2025 02:29:03 PM","07/12/2023 06:57:39 PM","false","1677","427","Closed case summary PDF","703","3","Public Domain","OPA","http://www.seattle.gov/opa",null,"Other","Office of Police Accountability"], [74,"qktt-2bsy","2019 Paid Parking Occupancy","The City of Seattle has created an on-street paid parking occupancy data set and is providing access to this data set for public use for research and entrepreneurial purposes under the City’s Open Data Program. This data set contains all records for 2019.","Snyder, MaryCatherine","dataset","Transportation","curbspace,parking,pay stations,sdot","https://data.seattle.gov/d/qktt-2bsy","https://data.seattle.gov/resource/qktt-2bsy.json","01/03/2019 07:46:07 PM","01/29/2025 11:00:17 PM","01/07/2020 12:07:02 PM","false","1596","807","Paid parking transaction","286106444","12","Public Domain","Seattle Department of Transportation","http://www.seattle.gov/transportation/projects-and-programs/programs/parking-program/maps-and-data",null,"One Time","Seattle Department of Transportation"], [75,"ud3x-cvhp","Code Compliance Complaints by Year","Code Compliance complaints by type per year. Sort the Year column by descending order to see the most recent years.","Callison, Moon","dataset","Built Environment","type of complaint,code enforcement,sdci,seattle department of construction and inspections,code compliance complaints by year","https://data.seattle.gov/d/ud3x-cvhp","https://data.seattle.gov/resource/ud3x-cvhp.json","12/12/2018 07:58:03 PM","09/02/2025 12:30:01 AM","09/01/2025 12:29:22 AM","false","221","629","Code Compliance Complaints by Year, Code Compliance Complaints, Complaints","246","4","Public Domain","Seattle Department of Construction and Inspections",null,null,"Annually","Seattle Department of Construction & Inspections"], [76,"4sup-g4bi","Public Disclosure Requests","A list of all records requests submitted to the City of Seattle under RCW 42.56 within the last two years.","Citywide Public Records","dataset","City Administration","citywide public records,disclosure,government,pdr,public records,records,records request","https://data.seattle.gov/d/4sup-g4bi","https://data.seattle.gov/resource/4sup-g4bi.json","08/30/2023 03:14:08 AM","08/15/2025 10:41:47 PM","08/15/2025 10:41:55 PM","false","257","307","Public Request","51762","7","Public Domain",null,null,null,"Daily","Seattle Information Technology"], [77,"hyay-5x7b","Office of Police Accountability Complaints","This dataset represents complaints against employees of the Seattle Police Department (SPD). The data is pulled from dynamic, live databases and is subject to change. Each row represents an individual allegation of misconduct from a Complainant against an individual SPD employee. A single OPA case may contain one or more Complainant(s), Named Employee(s), and Allegation(s) against each Named Employee. Data is denormalized to represent the one-to-many relationship between the Complaint and all the associated allegations. **USE CAUTION WHEN COUNTING**","SPD_AskSPDAnalytics@seattle.gov","dataset","Public Safety","complaints,office of police accountability,office of police accountability complaints,opa,police,spd","https://data.seattle.gov/d/hyay-5x7b","https://data.seattle.gov/resource/hyay-5x7b.json","09/22/2022 09:23:26 PM","09/01/2025 03:45:12 PM","09/01/2025 03:45:18 PM","false","223","301","An allegation of a policy violation from a Complainant against a Named Employee","35370","21","Public Domain",null,null,null,"Daily","Seattle Police Department"], [78,"s98k-8imb","2013 Technology Access and Adoption Survey","Before using this data set, refer to instructions below! \nSince 2000, the City's Information Technology Indicators project has been collecting extensive and statistically valid data on residential use of cable tv, broadband adoption and uses (including health, work, education, finance and civic engagement), barriers to broadband adoption, and customer service needs. This project is managed by our Community Technology Program with technical advice from our Citizens Telecommunications and Technology Advisory Board (CTTAB). \nINSTRUCTIONS FOR USING DATA SET\nDo not pull down the data set and use it without using the code book. When you run the data set, be sure to refer to the Code Book for invalid or missing values for each question item (variables). \nYou must recognize that the data here is unweighted; to replicate the figures in the City’s Information Technology Access and Adoption Report and get values that are representative of Seattle population, you should use the weights. There are 2 weighting variables, one that allows you to use the phone and online survey together (labeled \"weightfin\") and one that is for only the phone survey (labeled \"wgtphoneonly\", which excludes or zeros out everyone in the online survey).","Keyes, David","dataset","Community and Culture","access,accessibility,civic engagement,digital equity,digital inclusion,internet,neighborhood,seattle department of information technology,technology","https://data.seattle.gov/d/s98k-8imb","https://data.seattle.gov/resource/s98k-8imb.json","04/25/2014 08:34:52 PM","01/30/2025 03:40:37 AM","04/25/2014 09:34:41 PM","false","1465","1790","survey response along with weighting information","2931","422","Public Domain","City of Seattle","http://www.seattle.gov/tech/indicators",null,"One Time","Seattle Information Technology"], [79,"6853-bgsc","Seattle Channel TV Schedule","The broadcast schedule for Seattle’s municipal TV station, featuring programming for the upcoming week. See http://www.seattlechannel.org/ for more information.","Dotson, Pam","dataset","Community and Culture","cable,cable tv,city council,government meetings,mayor","https://data.seattle.gov/d/6853-bgsc","https://data.seattle.gov/resource/6853-bgsc.json","08/27/2014 07:18:59 PM","08/26/2025 10:31:38 PM","08/26/2025 10:31:39 PM","false","2702","4141","TV Program","1186","6","Public Domain","City of Seattle",null,null,"Weekly","Seattle Information Technology"], [80,"cz6d-tu92","Technology Access and Adoption Survey 2018","Responses from 4315 Seattle residents to a comprehensive survey about access to broadband internet, devices ownership, online activities, digital skill levels, concerns and barriers to use, and civic engagement preferences. See summary report, interactive dashboard and data use instructions at http://seattle.gov/2018techsurvey. The code-book of labels and instructions about applying weights should be used with this data. Available in Excel workbook format here: http://seattle.gov/Documents/Departments/Tech/2018Codebook.xlsx","Keyes, David","dataset","Community and Culture","broadband,digital equity,digital inclusion,equity,ict,information and communications technology,internet,technology","https://data.seattle.gov/d/cz6d-tu92","https://data.seattle.gov/resource/cz6d-tu92.json","11/13/2018 10:21:53 PM","01/29/2025 06:42:35 AM","11/15/2018 10:53:27 PM","false","1012","1218","Survey response along with weighting information","4315","479","Public Domain","Seattle Information Technology","http://seattle.gov/tech/digital-equity",null,"One Time","Seattle Information Technology"], [81,"98cw-h8mg","Ethnic Artist Roster","The Ethnic Artist Roster is a diverse list of artists of color who were selected through a panel process for exhibition opportunities in city owned or affiliated galleries. This roster is a resource to anyone who is looking for artwork by artists of color or who wants to host a culturally relevant art exhibition. The Ethnic Artist Roster is managed by the Seattle Office of Arts & Culture.","Ele Watts","dataset","Community and Culture",null,"https://data.seattle.gov/d/98cw-h8mg","https://data.seattle.gov/resource/98cw-h8mg.json","06/20/2019 07:31:55 PM","01/29/2025 06:13:50 AM","02/05/2021 11:25:37 PM","false","238","771","Artist","100","19","Public Domain","Office of Arts & Culture",null,null,"Other","Office of Arts & Culture"], [82,"6yaw-2m8q","2018 Paid Parking Occupancy","The City of Seattle has created an on-street paid parking occupancy data set and is providing access to this data set for public use for research and entrepreneurial purposes under the City’s Open Data Program. This data set contains all records for 2018.","Snyder, MaryCatherine","dataset","Transportation","curbspace,parking,pay stations,sdot","https://data.seattle.gov/d/6yaw-2m8q","https://data.seattle.gov/resource/6yaw-2m8q.json","09/15/2018 07:10:20 PM","01/29/2025 05:46:19 AM","03/21/2019 10:12:17 PM","false","76","599","Paid parking transaction","289433487","17","Public Domain","Seattle Department of Transportation","http://www.seattle.gov/transportation/projects-and-programs/programs/parking-program/maps-and-data",null,"One Time","Seattle Department of Transportation"], [83,"tik2-ywhq","Picnic Sites","Seattle Parks and Recreation Reservable Picnic Sites\n\nThis Dataset feeds the table location on this city website: https://seattle.gov/parks/rentals-and-permits/picnic-rentals","kylegriggs","dataset","Community and Culture","picnic,reservation,reserve,shelter,site,table","https://data.seattle.gov/d/tik2-ywhq","https://data.seattle.gov/resource/tik2-ywhq.json","04/19/2016 11:39:24 PM","01/30/2025 04:12:45 AM","09/30/2024 07:25:17 PM","false","1282","2129","Reservable Picnic Facility","52","17","Public Domain","City of Seattle",null,null,"Annually","Seattle Parks and Recreation"], [84,"mefu-7eau","26th Ave SW Greenway at SW Oregon St Bicycle Counter (Out of Service)","The counters consist of two small tube sensors stretching across the street, which are attached to a small metal counting box made by Eco-Counter. The tubes only count people riding bikes. They are very accurate and designed to be used on greenways.","Zuniga, Rafael","dataset","Transportation","bicycle,bike,counts,monthly data,pedestrian,sdot,seattle","https://data.seattle.gov/d/mefu-7eau","https://data.seattle.gov/resource/mefu-7eau.json","02/04/2014 04:31:41 PM","01/29/2025 06:37:54 PM","11/12/2021 11:34:50 PM","false","2594","2983","bike, count","67245","4","Public Domain","City of Seattle",null,null,"Monthly","Seattle Department of Transportation"], [85,"bpvk-ju3y","Illegal Dumping Reports","This data set contains selected information for Illegal Dumping service requests, including reports of needles/sharps.","Bolinger, Brandon","dataset","City Administration","service request,neighborhood,customer","https://data.seattle.gov/d/bpvk-ju3y","https://data.seattle.gov/resource/bpvk-ju3y.json","04/08/2024 10:54:38 PM","09/01/2025 10:07:54 PM","09/01/2025 10:08:13 PM","false","127","1255","Customer Service Request","260410","16","Public Domain","City of Seattle",null,null,"Daily","Seattle Public Utilities"], [86,"xucb-vzhc","Traffic Counts by Study","This table provides location data and summary statistics of each traffic study. The SDOT Traffic Counts group runs studies across the city to collect traffic volumes. Most studies are done with pneumatic tubes, but some come from video systems as well. Use the field study_id to match it with other tables for more detailed information. Data are binned in 15 minute and 60 minute bins in other tables.\n\nLANE_DESIGNATION_CODE_ID \n1     Standard\n2     Right Turn\n3     Left Turn\n4     Thru Only\n5     Thru + Right Turn\n6     Thru + Left Turn\n7     Aggregate Element\n8     Anomaly / Special Event\n9     Unknown\n10    0\n11    1\n12    2\n13    3\n14    4\n15    5\n16    6\n\nTRAFFIC_FLOW_DIR_ID:\n1 N\n2 S\n3 E\n4 W\n5 NE\n6 SE\n7 SW\n8 NW\n9 REV\n10 UNKNOWN\n11 TOTAL","Conor, Jeffrey","dataset","Transportation","counts,traffic counts","https://data.seattle.gov/d/xucb-vzhc","https://data.seattle.gov/resource/xucb-vzhc.json","01/10/2023 09:57:08 PM","09/01/2025 06:43:16 AM","09/01/2025 06:43:25 AM","false","266","487","One traffic volume study location and statistics.","61830","31","Public Domain","SDOT Traffic Counts Group",null,null,"Daily","Seattle Department of Transportation"], [87,"2khk-5ukd","City of Seattle Wage Data","Wage and classification information of City of Seattle Employees. Exclusions may apply for vulnerable populations.","Seattle Dept of Human Resources","dataset","City Administration","classification,department,employee name,hourly rate,job title,salary,wage","https://data.seattle.gov/d/2khk-5ukd","https://data.seattle.gov/resource/2khk-5ukd.json","03/03/2017 12:55:03 AM","08/25/2025 03:38:29 PM","08/25/2025 03:38:31 PM","false","115042","24749","Person","14494","5","Public Domain","Seattle Department of Human Resources",null,null,"Monthly","Seattle Department of Human Resources"], [88,"eqiu-9fdd","Discrimination Case Closures by Month and Type, 2017-Present","A closed discrimination case is an investigation that has been completed at the Seattle Office for Civil Rights (SOCR). This dataset shows closed cases by month and case type.","Beach, Monica","dataset","City Administration","civil rights,disability,discrimination,harassment,ocr,office of civil rights,race","https://data.seattle.gov/d/eqiu-9fdd","https://data.seattle.gov/resource/eqiu-9fdd.json","03/07/2024 06:54:28 PM","08/14/2025 09:34:24 PM","08/14/2025 09:34:25 PM","false","117","247","Case closure","61","15","Public Domain","Office of Civil Rights",null,null,"Monthly","Seattle Office for Civil Rights"], [89,"6qkn-8xvw","PDRs Prior to using \"City of Seattle Public Records Request Center\"","PDRs Prior to using \"City of Seattle Public Records Request Center\"","spd2internetData","dataset","Public Safety","prior city of seattle public records request center","https://data.seattle.gov/d/6qkn-8xvw","https://data.seattle.gov/resource/6qkn-8xvw.json","09/06/2013 11:20:36 PM","01/29/2025 05:40:45 AM","09/07/2016 08:15:40 AM","false","4113","1888","Row","18789","46","Public Domain","City of Seattle",null,null,"Daily","Seattle Police Department"], [90,"yb5c-ur9z","Seattle Department of Construction and Inspections Employee Contact","Contact information for the Seattle Department of Construction and Inspections' staff, including name, title, phone, email, supervisor name, and workgroup.","Callison, Moon","dataset","City Administration","staff directory","https://data.seattle.gov/d/yb5c-ur9z","https://data.seattle.gov/resource/yb5c-ur9z.json","09/30/2021 06:42:55 PM","09/01/2025 02:48:15 PM","09/01/2025 02:48:15 PM","false","191","839","Employee Contact","419","10","Public Domain","SDCI",null,null,"Monthly","Seattle Department of Construction & Inspections"], [91,"rk6r-ehyv","Notice of Medallion Transfers","This data set includes all transfer dates and values of taxicab and for-hire vehicle medallions.","Consumer Protection Unit, FAS","dataset","City Administration","for-hire,medallion,taxi,tnc","https://data.seattle.gov/d/rk6r-ehyv","https://data.seattle.gov/resource/rk6r-ehyv.json","03/23/2015 08:17:56 PM","08/29/2025 06:25:20 PM","08/29/2025 06:25:21 PM","false","17157","6851","Medallion transfer","2431","4","Public Domain","City of Seattle",null,null,"Other","Department of Finance and Administrative Services"], [92,"5mzj-4rtf","Public Life Data - People Staying","Provides data on people staying still in the space, including total number observed, demographic data, group size, postures, and activities.\n\n------------------------------------------\n\nThe City of Seattle Department of Transportation (SDOT) is providing data from the public life studies it has conducted since 2017. These studies consist of measuring the number of people using public space and the types of activities present on select sidewalks across the city, as well as several parks and plazas. The data set is continually updated as SDOT and other parties conduct public life studies using Gehl Institute’s Public Life Data Protocol.\n\nThis dataset consists of four component spreadsheets and a GeoJSON file, which provide public life data as well as information about the study design and study locations:\n\n1 Public Life Study: provides details on the different studies that have been conducted, including project information.\nhttps://data.seattle.gov/Transportation/Public-Life-Data-Study/7qru-sdcp\n\n2 Public Life Location: provides details on the sites selected for each study, including various attributes to allow for comparison across sites.\nhttps://data.seattle.gov/Transportation/Public-Life-Data-Locations/fg6z-cn3y\n\n3 Public Life People Moving: provides data on people moving through space, including total number observed, gender breakdown, group size, and age groups.\nhttps://data.seattle.gov/Transportation/Public-Life-Data-People-Moving/7rx6-5pgd\n\n4 Public Life People Staying: provides data on people staying still in the space, including total number observed, demographic data, group size, postures, and activities.\n\n5 Public Life Geography: A GeoJSON file with polygons of every location studied.\nhttps://data.seattle.gov/Transportation/Public-Life-Data-Geography/v4q3-5hvp\n\nPlease download and refer to the Public Life metadata document - in the attachment section below - for comprehensive information about all of the Public Life datasets.","Public Life Program","dataset","Community and Culture","people staying,public life,public space,sdot,sidewalks,streets,survey,transportation","https://data.seattle.gov/d/5mzj-4rtf","https://data.seattle.gov/resource/5mzj-4rtf.json","06/04/2020 09:15:09 PM","01/29/2025 05:26:30 AM","03/06/2024 01:06:07 AM","false","392","373","one person observed staying still during an observational period","16962","60","Public Domain","Seattle Department of Transportation",null,null,"Other","Seattle Department of Transportation"], [93,"uy6s-ine5","Tree Service Provider Registry","Database of all active Tree Service Providers registered to do business in Seattle and have met the registration requirements for the Seattle Department of Construction & Inspections (SDCI) registry for tree work on private property, for the Seattle Department of Transportation’s (SDOT) registry for tree work in the public right-of-way, or both. All commercial tree work on private property, including removal, reportable work, or consulting services must be conducted by a SDCI registered tree service provider. All major pruning or tree removal work within the public right-of-way must be conducted by a SDOT registered tree service provider.","Callison, Moon","dataset","Built Environment","tree service,tree,service,tree service provider,tree service provider registry,registry","https://data.seattle.gov/d/uy6s-ine5","https://data.seattle.gov/resource/uy6s-ine5.json","09/23/2022 08:27:37 PM","09/02/2025 12:29:16 AM","09/02/2025 12:29:17 AM","false","278","750","Tree Service Provider","102","12","Public Domain","SDCI",null,null,"Other","Seattle Department of Construction & Inspections"], [94,"7jzm-ucez","Annual Parking Study Data","Manual parking study details from citywide paid parking study, presented by blockface and date/hour of study. Most data is from spring of each year, with some data sets including summer studies.\n\nStudy time periods:\n•\t2014\n•\t2015\n•\t2016\n•\t2017\n•\t2018\n•\t2019\n\nPurpose: To determine hourly parking occupancy for most paid blockfaces in Seattle\n\n\nNote: In the column descriptions below, a street segment is typically defined as a drivable public street, or as a public walkway or trail, within Seattle city limits. A blockface is defined as one side of a block between road intersections, and often features a sidewalk.","Snyder, MaryCatherine","dataset","Transportation","annual parking study,disabled parking,manual study,occupancy,parking,parking pricing program,parking study,sdot","https://data.seattle.gov/d/7jzm-ucez","https://data.seattle.gov/resource/7jzm-ucez.json","03/02/2017 06:53:21 PM","01/29/2025 05:54:41 AM","11/26/2019 10:30:42 PM","false","3512","3419","Observed hourly parking occupancy","167799","24","Public Domain","City of Seattle","http://www.seattle.gov/parking",null,"Annually","Seattle Department of Transportation"], [95,"jb6y-98nr","2021 Paid Parking Occupancy","The City of Seattle has created an on-street paid parking occupancy data set and is providing access to this data set for public use for research and entrepreneurial purposes under the City’s Open Data Program. This data set contains all records for 2021.","Snyder, MaryCatherine","dataset","Transportation","curbspace,parking,pay stations,sdot","https://data.seattle.gov/d/jb6y-98nr","https://data.seattle.gov/resource/jb6y-98nr.json","01/25/2023 03:09:14 PM","03/04/2025 02:29:07 PM","01/26/2023 03:38:00 AM","false","155","620","Paid parking transaction","265610695","12","Public Domain","Seattle Department of Transportation","http://www.seattle.gov/transportation/projects-and-programs/programs/parking-program/maps-and-data",null,"One Time","Seattle Department of Transportation"], [96,"g32r-fjzp","Traffic Count Studies by Hour Bins","This table provides the traffic studies in hourly bins and some statistics. The SDOT Traffic Counts group runs studies across the city to collect traffic volumes. Most studies are done with pneumatic tubes, but some come from video systems as well. Use the field study_id to match it with other tables for more information.","Conor, Jeffrey","dataset","Transportation","counts,traffic counts","https://data.seattle.gov/d/g32r-fjzp","https://data.seattle.gov/resource/g32r-fjzp.json","01/11/2023 12:37:21 AM","09/01/2025 06:17:30 AM","09/01/2025 06:19:52 AM","false","221","784","One traffic count study with data in hourly bins","432775","42","Public Domain","SDOT Traffic Counts Group",null,null,"Daily","Seattle Department of Transportation"], [97,"hiyf-7edq","Paid Parking (Last 48 Hours)","The City of Seattle has created an on-street paid parking occupancy data set and is providing access to this data set for public use for research and entrepreneurial purposes under the City’s Open Data Program.","Snyder, MaryCatherine","dataset","Transportation","curbspace,parking,pay stations,sdot","https://data.seattle.gov/d/hiyf-7edq","https://data.seattle.gov/resource/hiyf-7edq.json","09/21/2018 08:10:03 PM","03/04/2025 02:29:05 PM","09/01/2025 01:18:24 PM","false","1637","2266","Paid parking occupancy (rate of payment)",null,"12","Public Domain","Seattle Department of Transportation","http://www.seattle.gov/transportation/projects-and-programs/programs/parking-program/maps-and-data",null,"Daily","Seattle Department of Transportation"], [98,"hbyh-ca2y","Capital Project App Projects","This dataset populates the Capital Projects Dashboard, an interactive site designed to offer insight into cost, spending, and timeline information on city transportation projects. We are highlighting projects that have reached the design phase and are estimated to cost more than $500,000. Information is updated monthly, drawing from various sources such as the City’s financial management system and SDOT’s project management and controls program. The dashboard complements Performance Seattle and Open Budget, the City's other interactive tools that use data to track performance and finances. Together, these tools bring an unprecedented level of transparency into the work that Seattle is doing to keep people and goods moving throughout a growing city. \n\nVisit the Dashboard at https://capitalprojects.seattle.gov.","Capital Projects","dataset","Built Environment","capital,dashboard,projects,sdot","https://data.seattle.gov/d/hbyh-ca2y","https://data.seattle.gov/resource/hbyh-ca2y.json","01/11/2017 08:24:28 PM","08/20/2025 03:10:45 PM","08/20/2025 03:10:47 PM","false","2775","1674","Work Project","27","21","Public Domain","City of Seattle","http://www.seattle.gov/transportation",null,"Monthly","Seattle Department of Transportation"], [99,"pr2n-4pn6","City of Seattle Neighborhood Matching Funds","Seattle Department of Neighborhoods (DON) - All awarded Neighborhood Matching Funds (NMF) from 1989 to present.","Jeanne Murphy","dataset","Community and Culture","don,grants,matching funds,neighborhood,neighborhoods,nmf","https://data.seattle.gov/d/pr2n-4pn6","https://data.seattle.gov/resource/pr2n-4pn6.json","02/18/2015 08:32:20 PM","01/29/2025 06:55:48 PM","07/11/2023 08:46:26 PM","false","10291","7703","Funded NMF project","3843","11","Public Domain","Seattle Department of Neighborhoods","http://www.seattle.gov/neighborhoods/",null,"Quarterly","Department of Neighborhoods"], [100,"mqnm-tr2p","City of Seattle Racial Equity Actions","This dataset includes the actions the City of Seattle has been taking towards racial equity. We publish it for accountability and transparency. See who to contact, what we'll deliver, and how we plan on meeting our desired outcomes.\n\nYou can also view this information here: https://www.seattle.gov/rsji/city-racial-equity-actions#/1","Beach, Monica","dataset","Community and Culture","equity,ocr,ocr equity plan,office of civil rights,policy and planning,race,race and social justice initiative,rsji,workplan","https://data.seattle.gov/d/mqnm-tr2p","https://data.seattle.gov/resource/mqnm-tr2p.json","08/19/2021 06:42:45 PM","01/29/2025 06:43:36 PM","11/03/2021 06:48:07 PM","false","113","438","An action that a City department has planned to do for racial equity","260","26","Public Domain","Seattle Office for Civil Rights",null,null,"Annually","Seattle Office for Civil Rights"], [101,"y6ef-jf2w","Sold Fleet Equipment","This dataset includes sales data for fleet equipment that was sold in the current and previous three years. This dataset does not include sales data for Seattle City Light (SCL) fleet equipment.","Lucy.Bonomo@seattle.gov","dataset","City Administration","auction,cars,equipment,fas,finance,finance and administrative services,fleet,sold fleet equipment,surplus,trucks","https://data.seattle.gov/d/y6ef-jf2w","https://data.seattle.gov/resource/y6ef-jf2w.json","02/06/2014 04:40:51 PM","08/19/2025 10:28:53 PM","08/19/2025 10:28:54 PM","false","175941","4668","Fleet Equipment","1383","14","Public Domain","City of Seattle",null,null,"Monthly","Department of Finance and Administrative Services"], [102,"c87v-5hwh","Trade Permits","All trade permits in progress or that have been issued in Seattle.","Callison, Moon","dataset","Built Environment","boiler,conveyance,elevator,fire sprinkler,furnace,mechanical,pressure vessel,refrigeration,sdci,seattle department of construction and inspections,side sewer,sign,trade permits","https://data.seattle.gov/d/c87v-5hwh","https://data.seattle.gov/resource/c87v-5hwh.json","05/01/2018 05:16:17 PM","09/01/2025 12:14:15 AM","09/01/2025 12:16:22 AM","false","1840","2819","Trade Permits, Permits","356106","25","Public Domain","City of Seattle","http://www.seattle.gov/sdci",null,"Daily","Seattle Department of Construction & Inspections"], [103,"wtpb-jp8d","2020 Paid Parking Occupancy","The City of Seattle has created an on-street paid parking occupancy data set and is providing access to this data set for public use for research and entrepreneurial purposes under the City’s Open Data Program. This data set contains all records for 2020.","Snyder, MaryCatherine","dataset","Transportation","curbspace,parking,pay stations,sdot","https://data.seattle.gov/d/wtpb-jp8d","https://data.seattle.gov/resource/wtpb-jp8d.json","06/20/2019 09:27:44 PM","01/30/2025 04:42:15 AM","01/02/2021 12:05:35 PM","false","565","1560","Paid parking transaction","136100530","12","Public Domain","Seattle Department of Transportation","http://www.seattle.gov/transportation/projects-and-programs/programs/parking-program/maps-and-data",null,"One Time","Seattle Department of Transportation"], [104,"xvj2-ai6y","Underground Storage Tank (UST) Records - Residential","Records of Seattle Fire Department (SFD) permits related to decommissioning of a residential heating oil tank, permit code 6103. A record with incomplete tank info indicates that the required follow-up report has not been received by SFD. Please note that SFD records begin in 1996 when state requirement was introduced. Decommissioning of a residential heating oil tank might have occurred prior to 1996, in which SFD will not have a record.\nCommercial UST records can be requested through City Public Records Request Center at http://www.seattle.gov/public-records/public-records-request-center","Ward, Evan L","dataset","Built Environment","decommissioning,heating oil,tank,underground storage tank,ust","https://data.seattle.gov/d/xvj2-ai6y","https://data.seattle.gov/resource/xvj2-ai6y.json","03/08/2017 07:19:33 PM","09/01/2025 01:02:37 AM","09/01/2025 01:02:49 AM","false","61211","4549","Underground Storage Tank, Tank, Underground Storage, Storage Tank","49066","11","Public Domain","City of Seattle","http://www.seattle.gov/fire/FMO/permits/permits.htm",null,"Daily","Seattle Fire Department"], [105,"28ny-9ts8","Terry Stops","Note! Subject Data is temporarily unavailable, while we chase down a bug. Please excuse the inconvenience (DGAL-8).\n\nThis data represents records of police reported stops under Terry v. Ohio, 392 U.S. 1 (1968). Each row represents a unique stop. \n\n- Each record contains perceived demographics of the subject, as reported by the officer making the stop and officer demographics as reported to the Seattle Police Department, for employment purposes. \n\n- Where available, data elements from the associated Computer Aided Dispatch (CAD) event (e.g. Call Type, Initial Call Type, Final Call Type) are included.","SPD_AskSPDAnalytics@seattle.gov","dataset","Public Safety","detentions,police,terry stops","https://data.seattle.gov/d/28ny-9ts8","https://data.seattle.gov/resource/28ny-9ts8.json","04/13/2017 12:46:56 AM","09/01/2025 03:54:01 PM","09/01/2025 03:54:13 PM","false","5334","2393","A unique record of a Terry Stop, as reported by the officer conducting the stop.","64653","23","Public Domain","City of Seattle","http://www.seattle.gov/police",null,"Daily","Seattle Police Department"], [106,"gi49-5uh6","Traffic Counts Studies by 15 Minute Bins","This table provides traffic studies in 15 minutes bins and some statistics. The SDOT Traffic Counts group runs studies across the city to collect traffic volumes. Most studies are done with pneumatic tubes, but some come from video systems as well. Use the field study_id to match it with other tables for more information.","Conor, Jeffrey","dataset","Transportation","counts,traffic counts","https://data.seattle.gov/d/gi49-5uh6","https://data.seattle.gov/resource/gi49-5uh6.json","01/11/2023 12:46:12 AM","09/01/2025 11:08:44 PM","09/02/2025 12:13:13 AM","false","240","447","A 15 minute bin of a traffic study. Group by study_id","41548416","13","Public Domain","SDOT Traffic Counts Group",null,null,"Daily","Seattle Department of Transportation"], [107,"4m8w-zxcb","Code Compliance Violations by Month","Number of code compliance violations, by type, by month since 2003. Sort the Date column in descending order to see the most recent months.","Seattle SDCI","dataset","Built Environment","type of violation,code enforcement,sdci,seattle department of construction and inspections,code compliance violations by month","https://data.seattle.gov/d/4m8w-zxcb","https://data.seattle.gov/resource/4m8w-zxcb.json","12/12/2018 07:40:30 PM","09/02/2025 12:25:23 AM","09/01/2025 12:33:43 AM","false","366","716","Code Compliance Violations by Month, Code Compliance Violations, Violations","3094","4","Public Domain","Seattle Department of Construction and Inspections",null,null,"Monthly","Seattle Department of Construction & Inspections"], [108,"egc4-d24i","Road Weather Information Stations","This data is derived from sensor stations placed on bridges and surface streets within city limits. Each station has a temperature sensor that measures the temperature of the street surface and a sensor that measures the ambient air temperature at the station each second. Those values are averaged into temperature readings that are recorded by the station every minute. The dataset is updated hourly with new data. Only the most recent 48 hours of data is stored in the dataset.","Road Weather","dataset","Transportation","road,weather,street,temperature,seattle,transportation","https://data.seattle.gov/d/egc4-d24i","https://data.seattle.gov/resource/egc4-d24i.json","03/04/2014 03:24:22 PM","09/02/2025 12:09:08 AM","09/01/2025 11:11:59 PM","false","203667","23453","Temperature reading","3001","6","Public Domain","City of Seattle",null,null,"Hourly","Seattle Department of Transportation"], [109,"qew5-gawh","OPA Complaint Tracker - Task Language","OPA COMPLAINT TRACKER\nTask language; data used to report a user friendly message to","Eric Seely","dataset","Public Safety",null,"https://data.seattle.gov/d/qew5-gawh","https://data.seattle.gov/resource/qew5-gawh.json","03/25/2015 09:25:57 PM","01/29/2025 10:58:29 PM","07/06/2023 08:40:37 PM","false","494","2068","Row","48","2","Public Domain","Melanie Vogt",null,null,"Other","Office of Police Accountability"], [110,"9gb2-237x","Monthly Tow Statistics 2021-Current","Monthly Tow Statistics 2021-Current","Hollinger, Adam","dataset",null,null,"https://data.seattle.gov/d/9gb2-237x","https://data.seattle.gov/resource/9gb2-237x.json","05/08/2025 06:14:16 PM","05/09/2025 02:36:57 PM","05/08/2025 11:29:46 PM","false","438","704","Public Safety","52","23",null,null,null,null,"To Be Determined","Department of Finance and Administrative Services"], [111,"qqw9-cbst","Discrimination Case Settlements by Month, 2017-Present","Cases result in settlement in a variety of ways. A pre-determination settlement occurs at any point during the investigation. A conciliation occurs after a reasonable cause finding is issued. At times, parties settle privately which results in a withdrawal with benefits. This dataset shows the amount of cases that settle by month at the Seattle Office for Civil Rights (SOCR) for all categories noted above.","Beach, Monica","dataset","City Administration","civil rights,discrimination","https://data.seattle.gov/d/qqw9-cbst","https://data.seattle.gov/resource/qqw9-cbst.json","09/27/2017 10:35:39 PM","08/14/2025 09:37:05 PM","08/14/2025 09:37:06 PM","false","764","1790","month","103","3","Public Domain","City of Seattle","https://www.seattle.gov/civilrights",null,"Monthly","Seattle Office for Civil Rights"], [112,"fg6z-cn3y","Public Life Data - Locations","Provides details on the sites selected for each study, including various attributes to allow for comparison across sites.\n\n------------------------------------------\n\nThe City of Seattle Department of Transportation (SDOT) is providing data from the public life studies it has conducted since 2017. These studies consist of measuring the number of people using public space and the types of activities present on select sidewalks across the city, as well as several parks and plazas. The data set is continually updated as SDOT and other parties conduct public life studies using Gehl Institute’s Public Life Data Protocol.\n\nThis dataset consists of four component spreadsheets and a GeoJSON file, which provide public life data as well as information about the study design and study locations:\n\n1 Public Life Study: provides details on the different studies that have been conducted, including project information.\nhttps://data.seattle.gov/Transportation/Public-Life-Data-Study/7qru-sdcp\n\n2 Public Life Location: provides details on the sites selected for each study, including various attributes to allow for comparison across sites.\n\n3 Public Life People Moving: provides data on people moving through space, including total number observed, gender breakdown, group size, and age groups.\nhttps://data.seattle.gov/Transportation/Public-Life-Data-People-Moving/7rx6-5pgd\n\n4 Public Life People Staying: provides data on people staying still in the space, including total number observed, demographic data, group size, postures, and activities.\nhttps://data.seattle.gov/Transportation/Public-Life-Data-People-Staying/5mzj-4rtf\n\n5 Public Life Geography: A GeoJSON file with polygons of every location studied.\nhttps://data.seattle.gov/Transportation/Public-Life-Data-Geography/v4q3-5hvp\n\nPlease download and refer to the Public Life metadata document - in the attachment section below - for comprehensive information about all of the Public Life datasets.","Public Life Program","dataset","Community and Culture","people moving,people staying,public life,public space,sdot,sidewalks,streets,survey,transportation","https://data.seattle.gov/d/fg6z-cn3y","https://data.seattle.gov/resource/fg6z-cn3y.json","06/03/2020 05:12:35 PM","01/29/2025 07:10:58 AM","02/06/2023 11:57:05 PM","false","224","364","location","132","20","Public Domain","Seattle Department of Transportation",null,null,"Other","Seattle Department of Transportation"], [113,"2z5v-ecg8","Burke Gilman Trail north of NE 70th St Bicycle and Pedestrian Counter","These sensors counts both people riding bikes and pedestrians. Separate volumes are tallied for each travel mode. Wires in a diamond formation in the concrete detect bikes and an infrared sensor mounted on a wooden post detects pedestrians. The counters also capture the direction of travel for both bikes and pedestrians.","Jennifer.Manu@seattle.gov","dataset","Transportation","bicycle,bike,counts,monthly data,pedestrian,sdot,seattle","https://data.seattle.gov/d/2z5v-ecg8","https://data.seattle.gov/resource/2z5v-ecg8.json","02/04/2014 04:15:56 PM","08/06/2025 06:52:55 PM","08/06/2025 06:52:56 PM","false","4979","3804","Hour of Day","92424","6","Public Domain","City of Seattle",null,null,"Monthly","Seattle Department of Transportation"], [114,"47yq-6ugv","NW 58th St Greenway at 22nd Ave NW Bicycle Counter (Out of Service)","This counter is no longer counting continuously and will be counted quarterly. \n\nThe counters consist of two small tube sensors stretching across the street, which are attached to a small metal counting box made by Eco-Counter. The tubes only count people riding bikes. They are very accurate and designed to be used on greenways.","Zuniga, Rafael","dataset","Transportation","bicycle,bike,counts,monthly data,pedestrian,sdot,seattle","https://data.seattle.gov/d/47yq-6ugv","https://data.seattle.gov/resource/47yq-6ugv.json","02/04/2014 03:50:25 PM","01/29/2025 04:47:39 AM","08/18/2022 10:00:36 PM","false","3269","3231","Bike Data","73766","4","Public Domain","City of Seattle",null,null,"Monthly","Seattle Department of Transportation"], [115,"e3zj-s4zh","Seattle Crime Stats by 1990 Census Tract 1996-2007","Violent Part 1 crime statistics by 1990 census tract.","SPD_AskSPDAnalytics@seattle.gov","dataset","Public Safety","crime,seattle,violent","https://data.seattle.gov/d/e3zj-s4zh","https://data.seattle.gov/resource/e3zj-s4zh.json","11/23/2009 08:07:19 PM","01/29/2025 06:54:43 AM","08/21/2011 02:48:14 AM","false","13376","4265","crime","14268","4","Public Domain","City of Seattle",null,null,"One Time","Seattle Police Department"], [116,"ajvs-k55z","Privately Owned Public Spaces","Privately Owned Public Spaces are created as a public benefit as part of a private development project, usually in exchange for certain project advantages allowed by City code.","Callison, Moon","dataset","Built Environment",null,"https://data.seattle.gov/d/ajvs-k55z","https://data.seattle.gov/resource/ajvs-k55z.json","05/14/2014 05:17:40 PM","09/30/2024 08:33:49 PM","12/27/2018 06:37:21 PM","false","232","212","Privately Owned Public Spaces","44","15","Public Domain","City of Seattle",null,null,"Other","Seattle Department of Construction & Inspections"], [117,"teqw-tu6e","Building Energy Benchmarking Data, 2015-Present","Seattle’s Building Energy Benchmarking Program (SMC 22.920) requires owners of non-residential and multifamily buildings (Greater than 20,000 square feet) to track energy performance and annually report to the City of Seattle. Annual benchmarking, reporting, and disclosing of building performance are foundational elements of creating more market value for energy efficiency.\n\nPer Ordinance (125000), starting with 2015 energy use performance reporting, the City of Seattle is making the data for all buildings greater than 20,000 SF available annually. This dataset contains benchmarking records for all buildings required to report for years 2015-2023.\n\nIf you have questions or comments on the data, email us at energybenchmarking@seattle.gov and include Open Data in the subject line.","Mike.Roos@seattle.gov","dataset","Built Environment","benchmarking,building energy,buildings,climate change,commercial buildings,electricity,energy,energy star,eui,fossil fuel,fossil gas,gas,greenhouse gas,multifamily,multifamily buildings,office of sustainability and environment,ose,steam","https://data.seattle.gov/d/teqw-tu6e","https://data.seattle.gov/resource/teqw-tu6e.json","12/13/2024 11:08:55 PM","04/01/2025 06:31:58 PM","04/01/2025 06:32:04 PM","false","111","3286","Building or Property Record by Reporting Year","30657","46","Public Domain","The Office of Sustainability and Environment","http://www.seattle.gov/energybenchmarking",null,"Quarterly","Office of Sustainability and Environment"], [118,"8fwq-jcnn","Seattle Police PDRs","A list of all public data requests made to the Seattle Police Department 2016 to December 2020. Requester names have been anonymized. Request summaries have been redacted to remove personally identifiable information (e.g. names, addresses, phone numbers, etc.) entered by the requester.","Vonaschen-Cook, Mirs","dataset","Public Safety","pdr,police,public records","https://data.seattle.gov/d/8fwq-jcnn","https://data.seattle.gov/resource/8fwq-jcnn.json","12/11/2020 11:34:33 PM","01/29/2025 06:08:19 AM","02/08/2021 05:58:26 PM","false","416","763","Each row is an individual request for data","37952","11",null,"SPD",null,null,"One Time","Seattle Police Department"], [119,"54qs-2h7f","Unreinforced Masonry Buildings","***As of 1/16/2025 this dataset is no longer being maintained. The updated version of this data can be accessed here: https://data-seattlecitygis.opendata.arcgis.com/datasets/SeattleCityGIS::unreinforced-masonry-buildings-urm/about ****\n\nA list of known unreinforced masonry buildings in the Seattle city limits.","Seattle SDCI","dataset","Built Environment","building,earthquake,sdci,seattle department of construction and inspections,unreinforced masonry buildings,urm","https://data.seattle.gov/d/54qs-2h7f","https://data.seattle.gov/resource/54qs-2h7f.json","05/06/2016 04:37:44 PM","01/29/2025 04:58:54 AM","01/08/2025 05:52:06 PM","false","6144","3304","Unreinforced masonry building","1140","13","Public Domain","City of Seattle","http://www.seattle.gov/sdci/",null,"Other","Seattle Department of Construction & Inspections"], [120,"74ix-6xdj","72hr Parking Ordinance Violations","This data set contains selected information for Abandoned Vehicle/72hr Parking Ordinance service requests.","Bolinger, Brandon","dataset","City Administration","customer,neighborhood,parking,service request,vehicle infractions","https://data.seattle.gov/d/74ix-6xdj","https://data.seattle.gov/resource/74ix-6xdj.json","04/08/2024 10:59:48 PM","09/01/2025 03:59:41 PM","09/01/2025 04:00:38 PM","false","122","608","Customer Service Request","449217","18","Public Domain","City of Seattle",null,null,"Daily","Seattle Police Department"], [121,"qhwj-ipk4","Current City Properties","List of properties currently owned by City of Seattle.","Bond, Alysoun","dataset","City Administration","cityprop,city property,land ownership,pmas,properties,property","https://data.seattle.gov/d/qhwj-ipk4","https://data.seattle.gov/resource/qhwj-ipk4.json","05/06/2021 09:51:52 PM","09/01/2025 02:28:18 PM","09/01/2025 02:28:19 PM","false","183","513","Each row represents one Property Management Area (PMA) - one or more subject parcels managed as a unit.","1334","16","Public Domain","City of Seattle Finance and Administrative Services, Facility Operations - Budget and Data Management",null,null,"Weekly","Department of Finance and Administrative Services"], [122,"jddv-fz6y","Technology Access and Adoption Survey 2023","Responses from 4197 Seattle residents to a comprehensive survey about access to broadband internet, devices ownership, online activities, digital skill levels, concerns and barriers to use, and civic engagement preferences. See summary report, interactive dashboard, crosstabs, and data use instructions at http://seattle.gov/TechAccessStudy. The code-book of labels and instructions about applying weights should be used with this data.","Keyes, David","dataset","Community and Culture","accessibility,broadband,civic engagement,digital equity,digital inclusion,internet,neighborhood,seattle department of information technology,technology,technology access","https://data.seattle.gov/d/jddv-fz6y","https://data.seattle.gov/resource/jddv-fz6y.json","10/04/2023 08:41:42 PM","01/29/2025 04:14:11 PM","10/04/2023 09:07:46 PM","false","204","426","Survey response along with weighting information","4197","327","Public Domain","Seattle Information Technology - Digital Equity Team","https://seattle.gov/TechAccessStudy",null,"One Time","Seattle Information Technology"], [123,"pbt3-ytbc","Integrated Library System (ILS) Data Dictionary","Lookup table of Horizon item and borrower codes. The source of this data are the code definition tables in Horizon, such as bstat, btype, collection, and itype.\n\nThis dataset is useful for understanding the codes used in some of Seattle Public Library's other open datasets. These codes (namely \"ItemType\" and \"ItemCollection\") are systematically used in the cataloging of items within Integrated Library System (ILS), Horizon (Sirsidynix).","David Christensen","dataset","Community and Culture","data dictionary,horizon,ils,public library","https://data.seattle.gov/d/pbt3-ytbc","https://data.seattle.gov/resource/pbt3-ytbc.json","05/10/2017 07:27:04 PM","01/29/2025 06:51:17 PM","06/06/2025 12:50:12 PM","false","2186","3756","Horizon item and borrower code with definition","638","8","Public Domain","City of Seattle",null,null,"Monthly","Seattle Public Library"], [124,"6d4q-w9dv","Technology Matching Funds","All awarded Technology Matching Fund projects from 1998 through the most recent funding year","Yuki, Vicky","dataset","Community and Culture","community,digital,funding,grants,inclusion,information technology,it,matching funds,technology,technology matching funds","https://data.seattle.gov/d/6d4q-w9dv","https://data.seattle.gov/resource/6d4q-w9dv.json","09/15/2016 09:37:51 PM","01/29/2025 05:36:14 AM","03/06/2020 03:42:51 PM","false","832","1801","Row","344","18","Public Domain","City of Seattle","http://www.seattle.gov/tech",null,"Annually","Seattle Information Technology"], [125,"wj44-r6br","PDRs After using \"City of Seattle Public Records Request Center\"","Public disclosure requests received by the Seattle Police Department since the creation of the City of Seattle Public Records Request Center (powered by GovQA) in 2016.","spd2internetData","dataset","City Administration",null,"https://data.seattle.gov/d/wj44-r6br","https://data.seattle.gov/resource/wj44-r6br.json","11/21/2015 12:06:35 AM","01/30/2025 04:39:37 AM","10/03/2024 02:01:39 PM","false","6934","2182","Row","133840","15","Public Domain","City of Seattle",null,null,"Daily","Seattle Police Department"], [126,"jguv-t9rb","Seattle Pet Licenses","A list of active/current Seattle pet licenses, including animal type (species), pet's name, breed and the owner's ZIP code.\n\n(List current as of July 08, 2025)","Ehrlich, Arlene","dataset","City Administration","animal,fas,license,pet,shelter,tag","https://data.seattle.gov/d/jguv-t9rb","https://data.seattle.gov/resource/jguv-t9rb.json","01/24/2017 10:04:13 PM","07/09/2025 05:41:40 PM","07/09/2025 05:41:46 PM","false","7092","5532","Pet License","42659","7","Public Domain","City of Seattle",null,null,"Quarterly","Department of Finance and Administrative Services"], [127,"j4vh-b42a","Broadway Cycle Track North Of E Union St Bicycle Counter (Out of Service)","Due to hardware issues, this counter is no longer in service. Counts are conducted using tubes on a quarterly basis.\n\nThe counters consist of two small tube sensors stretching across the street, which are attached to a small metal counting box made by Eco-Counter. The tubes only count people riding bikes. They are very accurate and designed to be used on greenways and cycle tracks.","Zuniga, Rafael","dataset","Transportation","bicycle,bike,counts,monthly data,pedestrian,sdot,seattle","https://data.seattle.gov/d/j4vh-b42a","https://data.seattle.gov/resource/j4vh-b42a.json","07/24/2014 05:22:33 PM","01/29/2025 04:11:20 PM","11/12/2021 11:48:49 PM","false","3734","3057","Bike, Count","63552","4","Public Domain","City of Seattle",null,null,"Monthly","Seattle Department of Transportation"], [128,"kkzf-ntnu","Emergency Food and Meals Seattle and King County","A list of emergency food (meals, food banks, etc.) available in Seattle and King County.","Clemens, Katie","dataset","Community and Culture","emergency,emergency food and meals seattle and king county,food,food banks,hsd,human services,human services department,meals","https://data.seattle.gov/d/kkzf-ntnu","https://data.seattle.gov/resource/kkzf-ntnu.json","05/18/2020 05:31:34 PM","03/04/2025 02:29:14 PM","11/04/2024 10:54:43 PM","false","577","937","Food Resource (Food Bank or Meal Program)","185","13","Public Domain","Human Services Department","http://www.seattle.gov/humanservices/",null,"Annually","Human Services Department"], [129,"vsae-57cr","Bridging The Gap Accomplishments 2007 to 2011","In 2006, Seattle voters passed a nine-year, $365 million levy for transportation maintenance and improvements known as Bridging the Gap. The levy is complemented by a commercial parking tax. The levy funds programs to address the maintenance backlog for paving; sidewalk development and repairs; bridge repair, rehabilitation and seismic upgrades; tree pruning and planting; transit enhancements; and other much needed maintenance work. Funding also supports projects that implement the Bicycle and Pedestrian Master plans, create a Safe Routes to School Program, improve transit connections and help neighborhoods get larger projects built through the Neighborhood Street Fund large project program.","Hagenah, Alex","dataset","Transportation","archive","https://data.seattle.gov/d/vsae-57cr","https://data.seattle.gov/resource/vsae-57cr.json","10/18/2011 08:44:00 PM","01/30/2025 04:29:41 AM","12/20/2018 12:47:34 AM","false","1752","1766","Bridging the Gap accomplishment","33146","27","Public Domain","City of Seattle","http://www.seattle.gov/transportation/BridgingtheGap.htm",null,"One Time","Seattle Department of Transportation"], [130,"9bjs-7a7w","SPD Arrest Data","Under the current business process, every seizure (4th Amendment of the US Constitution) conducted under the evidentiary standard of Probable Cause (PC) is documented in the RMS (Mark43). In addition to physical arrests made by officers, the system is configured to capture warrants, and summons arrests (where the officer is affecting a PC seizure on the authority of someone else (the court) and administrative arrest types that document updates to the identity of the subject who was arrested and additional charges. In total, 12 types of arrest are captured in the source.\n\nNote: This data set includes counts of arrest reports written which are distinct from physical, in-custody events. All counts herein reflect either total counts of arrest reports by the selected filter parameters, and/or the total number of reports written per subject.","SPD_AskSPDAnalytics@seattle.gov","dataset","Public Safety","arrest,crime,police,seattle police department,spd","https://data.seattle.gov/d/9bjs-7a7w","https://data.seattle.gov/resource/9bjs-7a7w.json","06/05/2023 07:51:02 PM","09/01/2025 03:51:43 PM","09/01/2025 03:52:36 PM","false","597","2014","Crime, Arrest","121237","33","Public Domain","SPD",null,null,"Daily","Seattle Police Department"], [131,"5avq-r9hj","City of Seattle Staff Demographics","This dataset includes all current City of Seattle Employees.","Seattle Dept of Human Resources","dataset","City Administration","age,demographics,equity,ethnicity,gender,race","https://data.seattle.gov/d/5avq-r9hj","https://data.seattle.gov/resource/5avq-r9hj.json","02/25/2019 08:07:33 PM","08/25/2025 03:37:38 PM","08/25/2025 03:37:41 PM","false","1076","929","Person","14498","7","Public Domain","Seattle Department of Human Resources",null,null,"Monthly","Seattle Department of Human Resources"], [132,"65db-xm6k","Fremont Bridge Bicycle Counter","The Fremont Bridge Bicycle Counter began operation in October 2012 and records the number of bikes that cross the bridge using the pedestrian/bicycle pathways. Inductive loops on the east and west pathways count the passing of bicycles regardless of travel direction. The data consists of a date/time field: Date, east pathway count field: Fremont Bridge NB, and west pathway count field: Fremont Bridge SB. The count fields represent the total bicycles detected during the specified one hour period. Direction of travel is not specified, but in general most traffic in the Fremont Bridge NB field is travelling northbound and most traffic in the Fremont Bridge SB field is travelling southbound.","Jennifer.Manu@seattle.gov","dataset","Transportation","bicycle,bike,bike counts,counts,fremont,seattle,traffic","https://data.seattle.gov/d/65db-xm6k","https://data.seattle.gov/resource/65db-xm6k.json","03/14/2013 07:37:34 PM","08/06/2025 06:38:09 PM","08/06/2025 06:38:10 PM","false","26766","41565","Hour of Day","112440","4","Public Domain","City of Seattle",null,null,"Monthly","Seattle Department of Transportation"], [133,"a2k6-wwdn","Seattle Graffiti Daily Summary","This data feeds the graffiti daily dashboard.","Barham, Stephen","dataset","City Administration",null,"https://data.seattle.gov/d/a2k6-wwdn","https://data.seattle.gov/resource/a2k6-wwdn.json","04/12/2024 09:08:53 PM","09/01/2025 04:35:01 PM","09/01/2025 04:35:01 PM","false","200","184","Daily total of customer service requests","308","6","Public Domain",null,null,null,"Daily","Office of Mayor"], [134,"bsgq-948x","Open Budget - Capital Projects Details","This dataset feeds the Capital Projects details section of openbudget.seattle.gov","Schmidt, Mark","dataset","City Administration",null,"https://data.seattle.gov/d/bsgq-948x","https://data.seattle.gov/resource/bsgq-948x.json","09/26/2017 10:40:40 PM","01/29/2025 06:35:36 AM","09/26/2017 10:40:43 PM","false","293","1410","project","561","10","Public Domain","City of Seattle",null,null,"One Time","Budget Office"], [135,"afww-hv6u","Code Compliance Complaints by Month","Code Compliance complaints by type per month. Sort the Date column by descending order to see the most recent months.","Callison, Moon","dataset","Built Environment","type of complaints,code enforcement,sdci,seattle department of construction and inspections,code compliance complaints by month","https://data.seattle.gov/d/afww-hv6u","https://data.seattle.gov/resource/afww-hv6u.json","12/12/2018 08:02:28 PM","09/02/2025 12:17:07 AM","09/01/2025 12:16:44 AM","false","241","717","Code Compliance Complaints, Complaints, Code Compliance","2685","4","Public Domain","Seattle Department of Construction and Inspections",null,null,"Monthly","Seattle Department of Construction & Inspections"], [136,"kzjm-xkqj","Seattle Real Time Fire 911 Calls","Provides Seattle Fire Department 911 dispatches. Updated every 5 minutes.","Ward, Evan L","dataset","Public Safety","911,dispatch e911,fire,seattle,sfd mobile","https://data.seattle.gov/d/kzjm-xkqj","https://data.seattle.gov/resource/kzjm-xkqj.json","01/08/2010 09:48:17 PM","01/29/2025 04:56:29 PM","09/02/2025 12:35:54 AM","false","248581","473822","911 call","2090076","12","Public Domain","City of Seattle","http://web5.seattle.gov/MNM/incidentresponse.aspx",null,"Near Realtime","Seattle Fire Department"], [137,"kgwb-nw8j","ECA Known Slide Events","
Displays areas of landslide events based on a Seattle Landslide Study completed by Shannon and Wilson.

A polygon feature class showing landslide event inventory. Used to implement and regulate the City of Seattle's Environmentally Critical Areas (ECA)  policies. This layer includes a more comprehensive collection of slide events maintained by Shannon and Wilson via the Seattle Landslide Study which included slide data through June 1999.

The Known Slide layer was most recently updated under SDCI Director's Rule 12-2019.

For more information about the definition of known slide areas, see Seattle Municipal Code section 25.09.012, Environmentally Critical Areas (ECA) definitions.

Updated as needed.
","Allen Grissom","federated_href",null,"seattle gis open data,terrain,eca,environmental,known slide events,landuse,planning,sdci","https://data.seattle.gov/d/kgwb-nw8j","https://data.seattle.gov/resource/kgwb-nw8j.json","02/03/2025 06:38:20 PM","02/27/2025 07:08:42 PM","02/03/2025 06:38:20 PM","false","0","0",null,null,null,null,null,null,null,null,null], [138,"7xu6-bk6d","Condo Conversions by Census Tract","Displacement risk indicator showing the number of housing units subject to conversion into condominiums summarized at the census tract level; available for every year from 2004 through the most recent year of available data.","Allen Grissom","federated_href",null,"gis,hdri,planning,sdci,seattle gis open data","https://data.seattle.gov/d/7xu6-bk6d","https://data.seattle.gov/resource/7xu6-bk6d.json","02/03/2025 06:37:26 PM","03/25/2025 07:08:54 PM","02/03/2025 06:37:26 PM","false","0","0",null,null,null,null,null,null,null,null,null], [139,"psqm-cwxe","TAP21 bg Seattle - Relative % Change","

This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.

University of Vermont Spatial Analysis Laboratory in collaboration with City of Seattle.

This dataset consists of City of Seattle Block Groups areas which cover the following tree canopy categories: 

For more information, please see the 2021 Tree Canopy Assessment.

","Allen Grissom","federated_href",null,"seattle office of sustainability & environment,2021,2016,biota,block groups,tree canopy,environment,land cover,seattle,seattle gis open data","https://data.seattle.gov/d/psqm-cwxe","https://data.seattle.gov/resource/psqm-cwxe.json","02/03/2025 06:38:43 PM","02/27/2025 07:09:04 PM","02/03/2025 06:38:43 PM","false","381","0",null,null,null,null,null,null,null,null,null], [140,"ukvh-5mx4","SPU DWW Aba Rem Ditches and Culverts","
Ditches are small to moderate depressions that are created to channel water.  Culverts are pipes that are open on both ends that conduct water under a road or railway. 

Displays data from the feature class DWW.ditch_culvert_ln_pv, SPU DWW Ditches and Culverts uses the following query:  (DCH_LIFECYCLE_CODE IN ( 'C' , 'UNK' , 'T', 'TBC', 'U', 'PC') AND DCH_FEATYPE_CODE IN( 'DCH' , 'CUL' ,'PHM').  SPU DWW Proposed Ditches and Culverts uses the following query:  DCH_LIFECYCLE_CODE = 'PRO' And DCH_FEATYPE_CODE IN ('DCH', 'CUL', 'PHM').  SPU DWW Aba Rem Ditches and Culverts has the following query:  DCH_LIFECYCLE_CODE IN ('A', 'R', 'AT').  This layer does not display when zoomed out beyond 1:7,000.  Labels do not display when zoomed out beyond 1:4800.  Label is based on the attribute DCH_OWNER_CODE.  Maintained by SPU GIS DWW Data Maintenance staff.  

Refreshed weekly.
","Allen Grissom","federated_href",null,"surface drainline,culvert,ditch,dww,public utility,seattle gis open data","https://data.seattle.gov/d/ukvh-5mx4","https://data.seattle.gov/resource/ukvh-5mx4.json","02/03/2025 06:38:05 PM","08/26/2025 07:02:22 PM","02/03/2025 06:38:05 PM","false","0","0",null,null,null,null,null,null,null,null,null], [141,"v5xy-imzr","Urban Center Neighborhood Areas","Growth data for housing units and employment for recognized sub-villages of three of the City of Seattle's designated urban centers.

Housing unit growth is reported quarterly from the city's permitting system while employment change is reported annually from the State of Washington QCEW data.
","Allen Grissom","federated_href",null,"jobs,planning,seattle gis open data,urban centers and villages,gis,employment,comprehensive plan,housing units,monitoring","https://data.seattle.gov/d/v5xy-imzr","https://data.seattle.gov/resource/v5xy-imzr.json","02/03/2025 06:37:19 PM","07/02/2025 07:02:40 PM","02/03/2025 06:37:19 PM","false","0","0",null,null,null,null,null,null,null,null,null], [142,"rwi5-cb89","DPD council districts shore clip - Relative % Change","

This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.

University of Vermont Spatial Analysis Laboratory

This dataset consists of City of Seattle Council District areas as they existed in the first comparison year (2016) which cover the following tree canopy categories:

For more information, please see the 2021 Tree Canopy Assessment.

","Allen Grissom","federated_href",null,"flora,land cover,seattle,seattle gis open data,biota,2021,seattle office of sustainability & environment,2016,sustainability,tree canopy,council districts,environment","https://data.seattle.gov/d/rwi5-cb89","https://data.seattle.gov/resource/rwi5-cb89.json","02/03/2025 06:38:40 PM","02/27/2025 07:08:14 PM","02/03/2025 06:38:40 PM","false","0","0",null,null,null,null,null,null,null,null,null], [143,"ev3a-wmy8","DPD council districts shore clip - Possible TC - Vegetation (%)","

This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.

University of Vermont Spatial Analysis Laboratory

This dataset consists of City of Seattle Council District areas as they existed in the first comparison year (2016) which cover the following tree canopy categories:

For more information, please see the 2021 Tree Canopy Assessment.

","Allen Grissom","federated_href",null,"seattle,council districts,land cover,flora,environment,biota,tree canopy,sustainability,seattle office of sustainability & environment,2021,2016,seattle gis open data","https://data.seattle.gov/d/ev3a-wmy8","https://data.seattle.gov/resource/ev3a-wmy8.json","02/03/2025 06:38:41 PM","02/27/2025 07:08:09 PM","02/03/2025 06:38:41 PM","false","0","0",null,null,null,null,null,null,null,null,null], [144,"rdj3-6ef4","PSE Usage Data for OSE Climate Portal","

This\nlayer shows the aggregated emissions resulting from energy \nconsumption in buildings across different neighborhoods and sectors \n(i.e., residential, commercial and industrial). The data is mapped to census\ntracts.


This\nlayer has been populated with utility energy consumption data \nprocured directly from Puget Sound Energy (gas), aggregated and anonymized by sector, quarter, and census \ntract. Some tracts have their data combined and averaged with \nneighboring tracts for privacy purposes. If data is aggregated in a \ntract, the "grouped flag" field will read\n "true".


For more information please visit the One Seattle Climate Portal item description page.
","Allen Grissom","federated_href",null,"emissions,ose,seattle gis open data","https://data.seattle.gov/d/rdj3-6ef4","https://data.seattle.gov/resource/rdj3-6ef4.json","02/03/2025 06:37:30 PM","02/27/2025 07:08:22 PM","02/03/2025 06:37:30 PM","false","0","0",null,null,null,null,null,null,null,null,null], [145,"ua73-ubmp","Non-Mainline Detention Polygons","Active, proposed, abandoned and removed secondary sewer and storm pipes that are not part of the mainline system (i.e. side sewers, service drains, etc.). Side Sewers are wastewater pipes from buildings and establishments that connect to mainline pipes. Service drains are stormwater pipes from buildings that connect to mainline pipes. Probable flow is the derived use classification based on what is the best estimation of usage broken out by drainage and sanitary.

Refreshed weekly.
","Allen Grissom","federated_href",null,"detention polygons,aba rem non-mainlines,detention lines,non-mainlines,spu non-mainlines,seattle gis open data,proposed non-mainlines","https://data.seattle.gov/d/ua73-ubmp","https://data.seattle.gov/resource/ua73-ubmp.json","02/03/2025 06:38:03 PM","08/26/2025 07:01:46 PM","02/03/2025 06:38:03 PM","false","0","0",null,null,null,null,null,null,null,null,null], [146,"i8nh-jyuw","2020 Census Tracts - Seattle","2020 census geography including tracts for the city of Seattle, King County, Washington. Excludes partial tracts with very small populations within the city limits along the southern border of the city.

Includes assignment of Seattle Community Reporting Areas (CRA-53), Community Reporting Area Groups (neighborhood roll up-13), Council Districts (7-assigned to the tract with the majority of the population based on the distribution of the component census blocks), and Urban Village Demographic Areas (UVDA). UVDA assignments subject to change based on future planning areas.
","Allen Grissom","federated_href",null,"census blocks,census,census 2020,seattle gis open data,planning,gis,demographics","https://data.seattle.gov/d/i8nh-jyuw","https://data.seattle.gov/resource/i8nh-jyuw.json","02/03/2025 06:38:40 PM","02/27/2025 07:08:57 PM","02/03/2025 06:38:40 PM","false","0","0",null,null,null,null,null,null,null,null,null], [147,"j6hx-fa8m","SPU Owned Non-Mainlines","Active, proposed, abandoned and removed secondary sewer and storm pipes that are not part of the mainline system (i.e. side sewers, service drains, etc.). Side Sewers are wastewater pipes from buildings and establishments that connect to mainline pipes. Service drains are stormwater pipes from buildings that connect to mainline pipes. Probable flow is the derived use classification based on what is the best estimation of usage broken out by drainage and sanitary.

Refreshed weekly.
","Allen Grissom","federated_href",null,"aba rem non-mainlines,seattle gis open data,proposed non-mainlines,non-mainlines,detention polygons,detention lines,spu non-mainlines","https://data.seattle.gov/d/j6hx-fa8m","https://data.seattle.gov/resource/j6hx-fa8m.json","02/03/2025 06:38:03 PM","08/26/2025 07:02:06 PM","02/03/2025 06:38:03 PM","false","0","0",null,null,null,null,null,null,null,null,null], [148,"chzy-693s","SPU DWW Proposed Ditches and Culverts","
Ditches are small to moderate depressions that are created to channel water.  Culverts are pipes that are open on both ends that conduct water under a road or railway. 

Displays data from the feature class DWW.ditch_culvert_ln_pv, SPU DWW Ditches and Culverts uses the following query:  (DCH_LIFECYCLE_CODE IN ( 'C' , 'UNK' , 'T', 'TBC', 'U', 'PC') AND DCH_FEATYPE_CODE IN( 'DCH' , 'CUL' ,'PHM').  SPU DWW Proposed Ditches and Culverts uses the following query:  DCH_LIFECYCLE_CODE = 'PRO' And DCH_FEATYPE_CODE IN ('DCH', 'CUL', 'PHM').  SPU DWW Aba Rem Ditches and Culverts has the following query:  DCH_LIFECYCLE_CODE IN ('A', 'R', 'AT').  This layer does not display when zoomed out beyond 1:7,000.  Labels do not display when zoomed out beyond 1:4800.  Label is based on the attribute DCH_OWNER_CODE.  Maintained by SPU GIS DWW Data Maintenance staff.  

Refreshed weekly.
","Allen Grissom","federated_href",null,"ditch,public utility,seattle gis open data,surface drainline,culvert,dww","https://data.seattle.gov/d/chzy-693s","https://data.seattle.gov/resource/chzy-693s.json","02/03/2025 06:38:05 PM","08/26/2025 07:01:52 PM","02/03/2025 06:38:05 PM","false","0","0",null,null,null,null,null,null,null,null,null], [149,"69km-4v3v","Monorail Infrastructure Buffer","Displays monorail infrastructure buffer set at 14 feet. The data is maintained by Seattle Department of Transportation.

Feature Class: Monorail_Poly_14ftBuff

Refresh Cycle: Manually refreshed as required.
","Allen Grissom","federated_href",null,"seattle gis open data,monorail,sdot","https://data.seattle.gov/d/69km-4v3v","https://data.seattle.gov/resource/69km-4v3v.json","02/03/2025 06:38:16 PM","07/10/2025 07:04:45 PM","02/03/2025 06:38:16 PM","false","1","0",null,null,null,null,null,null,null,null,null], [150,"5ju8-cpe8","Zoning with Development Assumptions","
Land use zoning simplified to zoning and shoreline overlay polygons with development assumptions by zoning category.

Assumptions include floor-area-ratio, residential density, split between residential and commercial floor area in mixed use zones, redevelopment ratio thresholds and conversions between floor area and housing units and jobs.
","Allen Grissom","federated_href",null,"seattle gis open data,capacity model current,gis,planning,zoning,development capacity,land use zoning","https://data.seattle.gov/d/5ju8-cpe8","https://data.seattle.gov/resource/5ju8-cpe8.json","02/03/2025 06:38:13 PM","07/31/2025 07:04:01 PM","02/03/2025 06:38:13 PM","false","0","0",null,null,null,null,null,null,null,null,null], [151,"62j7-rb93","Detached Accessory Dwelling Units (DADUs)","

Permit records from the City of Seattle permitting system for building permits that create or demolish detached accessory dwelling units (DADU). Records begin in 1990 and are through the current year quarter.

The permits in this layer are those that have either been completed or are currently issued. This data does not contain records for those permits that were issued but were not completed so are therefore not comparable to statistics that report permit issuance.

Each record represents the number of units added or demolished for each housing type in the project. Therefore a single building permit may appear multiple times if there are a mix of unit types in the project.

Housing unit types reflect the unit types regulated by the building codes and change through time. There has been no attempt to standardize these types and therefore reflect the unit types that existed at the time the permit was issued.  Unit types will be visible only for the time period they were in the code. For example, small efficiency dwelling units were not created in the code until 2016 and so will not appear as a type until that year.

There may be multiple permits at any given address.

","Allen Grissom","federated_href",null,"planning,adu,gis,aduapp,seattle gis open data,housing units,permits","https://data.seattle.gov/d/62j7-rb93","https://data.seattle.gov/resource/62j7-rb93.json","02/03/2025 06:38:14 PM","08/20/2025 07:04:51 PM","02/03/2025 06:38:14 PM","false","0","0",null,null,null,null,null,null,null,null,null], [152,"rtzm-44i5","Race in Combination (transposed) - Seattle Neighborhoods","Table from the American Community Survey (ACS) 5-year series on race and ethnicity related topics for City of Seattle Council Districts, Comprehensive Plan Growth Areas and Community Reporting Areas. Table includes B03002 Hispanic or Latino Origin by Race, B02008-B02013 Race Alone or in Combination with One or More Other. Data is pulled from block group tables for the most recent ACS vintage and summarized to the neighborhoods based on block group assignment.

Table created for and used in the Neighborhood Profiles application.

Vintages: 2023
ACS Table(s): B03002, B02008, B02009, B02010, B02011, B02012, B02013
Data downloaded from: Census Bureau's Explore Census Data 


The United States Census Bureau's American Community Survey (ACS):
  • About the Survey
  • Geography & ACS
    Table from the American Community Survey (ACS) B19301 and B19313 per capita and aggregate income. These are multiple, nonoverlapping vintages of the 5-year ACS estimates of population and housing attributes starting in 2010 shown by the corresponding census tract vintage. Also includes the most recent release annually.

    King County, Washington census tracts with nonoverlapping vintages of the 5-year American Community Survey (ACS) estimates starting in 2010. Vintage identified in the "ACS Vintage" field.

    The census tract boundaries match the vintage of the ACS data (currently 2010 and 2020) so please note the geographic changes between the decades. 

    Tracts have been coded as being within the City of Seattle as well as assigned to neighborhood groups called "Community Reporting Areas". These areas were created after the 2000 census to provide geographically consistent neighborhoods through time for reporting U.S. Census Bureau data. This is not an attempt to identify neighborhood boundaries as defined by neighborhoods themselves.

    Vintages: 2010, 2015, 2020, 2021, 2022, 2023
    ACS Table(s): B19301 and B19313
    Data downloaded from: 
    ","Allen Grissom","federated_href",null,"restricted parking zone,parking,gis,transportation,seattle gis open data,seattle,sdot,rpz","https://data.seattle.gov/d/eibc-354k","https://data.seattle.gov/resource/eibc-354k.json","02/03/2025 06:37:32 PM","08/31/2025 07:04:11 PM","02/03/2025 06:37:32 PM","false","0","0",null,null,null,null,null,null,null,null,null], [155,"mrfs-tyjx","SPU DWW Mainline End Points","SPU DWW Mainline Points is a Group Layer containing all Lifecycles, Ownerships, and other variations of Drainage and Wastewater Mainlines Points.

    Proposed Mainline End Points are planned but not yet installed or as-built.

    SPU DWW Aba Rem Mainline End Points refers to Abandoned and Removed Mainline End Points.

    Force Mainline End Points are Mainline End Points under pressure. Detention Lines and Polygons refer to Mainline End Points for Detention Infrastructure.

    DWW Mainline Connection Points Wyes refer to side sewer and lateral connection points on mainlines.

    The data is refreshed weekly and is maintained by the SPU GIS Data Maintenance Team. 
    ","Allen Grissom","federated_href",null,"mainline,external,points,seattle gis open data,spu,sewer,dww,endpoints","https://data.seattle.gov/d/mrfs-tyjx","https://data.seattle.gov/resource/mrfs-tyjx.json","02/03/2025 06:38:15 PM","08/31/2025 07:04:13 PM","02/03/2025 06:38:15 PM","false","0","0",null,null,null,null,null,null,null,null,null], [156,"3hah-p4ft","Possible Tree Canopy - Vegetation %","

    This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.

    University of Vermont Spatial Analysis Laboratory in collaboration with City of Seattle.

    This dataset consists of City of Seattle SDOT Urban Forestry Management Units which cover the following tree canopy categories: 

    • Existing tree canopy percent 
    • Possible tree canopy - vegetation percent 
    • Relative percent change 
    • Absolute percent change

    For more information, please see the 2021 Tree Canopy Assessment.

    ","Allen Grissom","federated_href",null,"environment,biota,2021,2016,seattle gis open data,seattle,land cover,seattle office of sustainability & environment,tree canopy","https://data.seattle.gov/d/3hah-p4ft","https://data.seattle.gov/resource/3hah-p4ft.json","02/03/2025 06:38:42 PM","02/27/2025 07:07:59 PM","02/03/2025 06:38:42 PM","false","382","0",null,null,null,null,null,null,null,null,null], [157,"ay77-vyiq","Environmentally Critical Area Overlay for Zoned Development Capacity Model Current","Environmentally critical area layer used as an overlay for the City of Seattle Zone Development Capacity Model.  Areas represent the ECAs that would reduce the amount of development on a development site.  This layer is for analytical purposes only and does not represent actual regulatory areas or development regulation, rather an approximation of the potential impact on a development site.

    These areas include:

    Steep Slopes (40% or greater)

    • Remove all steep slope polygons less than 1,000 square feet in size 
     For remaining steep slope polygons:
    • Treat areas within steep slope ECAs as if only 30% is developable. For example, on a 10,000 square foot site where half is in a steep slope ECA, we would treat it like at 6,500 square foot site (5,000*100% + 5,000*30%)

    Riparian Corridors

    • Ignore riparian corridors where the creek is in a culvert

    For other riparian corridors:

    • Assume there will be no development in that riparian corridor and a buffer of 50 feet for streams without salmon and 75 feet for streams with salmon
    • Assume 30% of regular development potential in remainder of a 100 feet buffer from the riparian corridor (i.e. the next 50 feet for streams without salmon and the next 25 feet for streams with salmon).

    Wetlands

    • Remove all wetlands polygons less than 1,000 square feet in size

    For all other wetland polygons:

    • For all wetland polygons greater than or equal to an acre, put a 200 foot buffer around them and assume no development will occur in the wetland or the buffer
    • For all wetlands less than an acre, put an 80 foot buffer around them and assume no development in wetland or buffer.  Wetlands other than category I have a variety of buffers, but in general we see about half have 50 foot buffers and the other half have 110 foot buffers (with an average of 80 feet)
    ","Allen Grissom","federated_href",null,"buildable lands,zoned capacity,seattle gis open data,plannng,eca,gis,development capacity,capacity model current","https://data.seattle.gov/d/ay77-vyiq","https://data.seattle.gov/resource/ay77-vyiq.json","02/03/2025 06:37:29 PM","02/27/2025 07:08:56 PM","02/03/2025 06:37:29 PM","false","0","0",null,null,null,null,null,null,null,null,null], [158,"4ijf-63gu","Archaeological Buffer Area","
    This layer comprises 200 feet of the US Government Meander line and locations where information suggests the probability of potential archaeologically significant resources should ensure analysis of these significant resources. 

    More information can be found in DR2-98 and Seattle Municipal Code Section (SMC 25.05.675H).

    Source Data: DPD.ArchaeologicalBufferArea
    Refresh: As needed
    ","Allen Grissom","federated_href",null,"archaeological buffer area,sdci","https://data.seattle.gov/d/4ijf-63gu","https://data.seattle.gov/resource/4ijf-63gu.json","03/15/2025 07:03:06 PM","04/13/2025 07:05:20 PM","03/15/2025 07:03:06 PM","false","385","0",null,null,null,null,null,null,null,null,null], [159,"nng6-bzbm","Light Rail Stations","Frequent, reliable transit service is the foundation of a transportation system that empowers all travelers and makes Seattle a truly transit-friendly city. A robust transit network is essential if Seattle is to meet its climate goals and address transportation-related inequities. At its most fundamental level, a transit network is made up of transit infrastructure such as bus lanes, transit signals, and bus stops, often arranged in corridors.  

    The transit service that travels on this infrastructure can be described as a series of routes that connect different parts of a community for a number of hours per day at a certain frequency (the number of trips at a bus stop per hour). SDOT’s vision for the service aspect of the transit network is followed by a vision for transit infrastructure in the sections below. 

    Public input and surveys consistently point to transit frequency as the most critical factor that influences ridership behavior. This fundamental concept directly informs SDOT’s shared vision for a “Frequent Transit Network” (FTN), which builds from the 2016 Transit Master Plan (TMP) and establishes aspirational frequency targets for transit corridors throughout the city. A high-frequency transit network enables people to move through the city with confidence in a timely arrival—and without the need to consult a schedule—throughout the day and every single day of the week. Continual investment in improved transit frequency in Seattle is essential for many reasons:  
    • Post-pandemic transit is likely to remain less commuter-focused and oriented specifically to Downtown Seattle and must adapt to new travel behaviors and patterns. 
    • To support everyday trips by transit (not just commutes), people need reliable mobility at all times, such as early mornings, midday, evenings and at night all days of the week, not just at peak times on weekdays.  
    • Transit needs to accommodate work schedules of non-traditional and low-income workers including the times noted above. 
    • Transit should be attractive for all types of trips throughout the week, including education, shopping, and recreational trips, as well as cultural gatherings. 
    • An excellent transit network is necessary to accommodate the mode shift required to respond to the impacts of climate change in the next decade. 
    • Frequent transit reduces wait time, increases reliability, and values the time for existing and future riders. 
    • Frequent transit makes transfers more feasible and allows a network of routes to function as a system. 
    • A connected network of frequent transit services is also critical to achieve STP climate goals, which require dramatic increases in transit ridership and VMT reduction to support broader efforts to reduce greenhouse gas (GHG) emissions from transportation.  
    • High transit frequencies as part of a reliable, all-day service network can create a more equitable transportation system, making it possible for people of all ages, incomes, and abilities to get where they want to go regardless of when or where they need to travel. The Transit Element presents a vision for frequent transit service in Seattle that goes beyond the original Frequent Transit Network (FTN) presented in the 2016 Transit Master Plan.  

    Refresh Cycle: None, Static. Manually as required.
    • Original Publish: 5/23/2024
    • Update Publish: 7/11/2024 per Policy and Planning team
    Contact: Policy and Planning team.
    ","Allen Grissom","federated_href",null,"gis,transit element,transit,stp,seattle transportation plan,seattle gis open data,sdot,light rail,bus","https://data.seattle.gov/d/nng6-bzbm","https://data.seattle.gov/resource/nng6-bzbm.json","02/03/2025 06:38:02 PM","02/27/2025 07:08:41 PM","02/03/2025 06:38:02 PM","false","1","0",null,null,null,null,null,null,null,null,null], [160,"ubfy-sra7","Seattle Tree Canopy 2016 2021 50 Acre Hexagons","
    This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.

    University of Vermont Spatial Analysis Laboratory

    This dataset consists of hexagons 50-acres in area, or several city blocks. The dataset covers the following tree canopy categories:
    • Existing tree canopy percent
    • Possible tree canopy - vegetation percent
    • Relative percent change
    • Absolute percent change
    • Average maximum afternoon temperature (F)
    • Tree canopy percentage & average afternoon temperature (F)
    For more information, please see the 2021 Tree Canopy Assessment.
    ","Allen Grissom","federated_href",null,"canopy,biota,washington,hexagons,king,percent change,vegetation,tree,temperature,seattle,2021,environment,seattle gis open data","https://data.seattle.gov/d/ubfy-sra7","https://data.seattle.gov/resource/ubfy-sra7.json","02/03/2025 06:38:35 PM","02/27/2025 07:09:12 PM","02/03/2025 06:38:35 PM","false","0","0",null,null,null,null,null,null,null,null,null], [161,"ki62-t9ds","Frequent Transit Service Area","
    A polygon feature layer representing the frequent transit service area (FTSA), composed from King County parcels.

    Frequent Transit Service Area - An area within 1,320 feet walking distance of a bus stop served by a frequent transit route or an area within 2,640 feet walking distance of a rail transit station, as shown on a map adopted by Director's Rule.

    Updated as needed.

    Resources

    ","Allen Grissom","federated_href",null,"parking flexibility area,development,frequent transit,land use,seattle gis open data,sdci,pedestrian","https://data.seattle.gov/d/ki62-t9ds","https://data.seattle.gov/resource/ki62-t9ds.json","02/03/2025 06:38:15 PM","06/26/2025 04:38:42 PM","02/03/2025 06:38:15 PM","false","0","0",null,null,null,null,null,null,null,null,null], [162,"j4fm-eh6t","PSRC VMT Emission","

    This\nlayer shows total trips by mode and their corresponding emissions \nacross different neighborhoods in Seattle. The data is mapped to census\ntracts.


    The\n data in this layer has been populated using an output from the \nPuget Sound Regional Council's (PSRC's) regional travel demand model. \nThis model is updated only once every few years and is therefore not \nideal for frequent data updates. The City is working on procuring more \nfrequent measured travel data from alternate sources.




    For more information please visit the One Seattle Climate Portal item description page.


    ","Allen Grissom","federated_href",null,"emissions,seattle gis open data,ose,climate","https://data.seattle.gov/d/j4fm-eh6t","https://data.seattle.gov/resource/j4fm-eh6t.json","02/03/2025 06:37:25 PM","02/27/2025 07:08:24 PM","02/03/2025 06:37:25 PM","false","0","0",null,null,null,null,null,null,null,null,null], [163,"73fd-2dy7","Household Waste Facility","This data set includes sites operated by Seattle Public Utilities(SPU) and King County. For more information on what qualifies as hazardous waste, disposal methods, and other ways to reduce/recycle, please see the SPU Hazardous Waste Items site.

    Contains data from CARTO.HouseholdWasteFacilities.  Labels are based on the attribute NAME.

    Updated as needed.  Last update November 2022.
    ","Allen Grissom","federated_href",null,"spu,hazardous waste,seattle gis open data,gis","https://data.seattle.gov/d/73fd-2dy7","https://data.seattle.gov/resource/73fd-2dy7.json","02/03/2025 06:37:20 PM","02/27/2025 07:08:17 PM","02/03/2025 06:37:20 PM","false","0","0",null,null,null,null,null,null,null,null,null], [164,"x9iv-w747","Water Services","A grouped feature layer that includes Water Mains, Water Services, Same Side Tap Only and No New Taps layers.

    • Water Mains are large buried pipes that distribute water from a supply source ultimately to customer's service lines. 
    • Water Services are lines representing a water service delivered from a watermain to a property.
    • Same Side Tap Only and No New Taps are water main restrictions which represent the availability or access to water main assets. Same Side Tap Only are lines representing where water services are only allowed to be tapped on one side of the water main. 
    • No New Taps are lines representing water mains where new water services are no longer permitted to tap into the water main.
    This data provides a limited view of Seattle's water infrastructure. For example, the data does not include transmission pipelines or feeder mains for reasons of water system network security. The data may show water mains that are not eligible for new water service connections (e.g., obsolete or "no-tap" water mains).
    ","Allen Grissom","federated_href",null,"same side tap only,no new taps,mains,water services,water mains,water main,water,services,seattle gis open data","https://data.seattle.gov/d/x9iv-w747","https://data.seattle.gov/resource/x9iv-w747.json","02/03/2025 06:37:47 PM","08/26/2025 07:01:53 PM","02/03/2025 06:37:47 PM","false","0","0",null,null,null,null,null,null,null,null,null], [165,"m985-8qpd","Contours 2 ft 2001","

    Contours 2ft created from 2001 LIDAR.

    ","Allen Grissom","federated_href",null,"topography,terrain,seattle gis open data,contours","https://data.seattle.gov/d/m985-8qpd","https://data.seattle.gov/resource/m985-8qpd.json","02/03/2025 06:38:04 PM","02/27/2025 07:09:10 PM","02/03/2025 06:38:04 PM","false","0","0",null,null,null,null,null,null,null,null,null], [166,"jazj-tr78","Public Schools - Possible TC - Vegetation (%)","

    This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.

    University of Vermont Spatial Analysis Laboratory

    This dataset consists of City of Seattle Public Schools areas which cover the following tree canopy categories:

    • Existing tree canopy percent
    • Possible tree canopy - vegetation percent
    • Relative percent change
    • Absolute percent change
    For more information, please see the 2021 Tree Canopy Assessment.
    ","Allen Grissom","federated_href",null,"2016,tree canopy,2021,sustainability,seattle gis open data,seattle,public schools,land cover,environment,biota,flora","https://data.seattle.gov/d/jazj-tr78","https://data.seattle.gov/resource/jazj-tr78.json","02/03/2025 06:37:16 PM","02/27/2025 07:08:57 PM","02/03/2025 06:37:16 PM","false","0","0",null,null,null,null,null,null,null,null,null], [167,"2pa6-vpvm","IFA Dashboard Data","

    This data layer includes key performance metrics collected by the City and partners tracking the progress towards the goals of the Internet for All Seattle Initiative.  Internet for All Seattle Dashboards.   The data points reflect activities in five categories:  1) Affordable Connectivity Program, 2) Internet Connectivity, 3) Devices, 4) Digital Skills & Technical Support, and 5) Outreach & Assistance.  The majority of the Internet for All Seattle Action Plan items and data fall under these five areas.   Source data for Internet for All maps and dashboards.

    Updated quarterly.  Last update:  March 4, 2024.

    \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
    ATTRIBUTE NAMEDEFINITIONADDITIONAL INFORMATION
    ResourceOrganization or program providing metrics for this dashboard.Access for All Program - City of\n Seattle program to
    \n connect eligible organizations and locations in
    \n Seattle with free high speed internet service in
    \n partnership with Comcast, Astound Broadband,
    \n and Lumen.
    \n City of Seattle Facilities - City owned buildings,
    \n including Community Centers, City Hall, Seattle
    \n Center and others.
    \n Internet Essentials Program - Low-cost internet
    \n program provided by Comcast offering
    \n $9.95/month + tax for eligible households.
    \n Internet First Program - Low-cost internet program
    \n provided by Astound offering $50 Mbps Internet*
    \n  to qualifying low-income households.
    \n Other Partners - Other organizations partnering
    \n with the City of Seattle.
    \n Seattle Housing Authority - An independent public
    \n corporation in the city of Seattle responsible for
    \n public housing for low-income, elderly, and disabled
    \n residents.
    \n Seattle IT Digital Equity - City of Seattle, Seattle
    \n Information Technology Department Digital Equity
    \n Program.
    \n Seattle IT Digital Navigator - Seattle IT grant program
    \n providing funding to community-based organizations to
    \n provide digital navigation services.
    \n Seattle IT Technology Matching Fund - City of Seattle
    \n grant program providing funding to community-based
    \n organizations to increase internet access and adoption.
    \n Seattle Public Library - The publ","Allen Grissom","federated_href",null,"technology matching fund,seattle gis open data,itd,internet for all,access for all,digital equity,digital inclusion,gis,ifa,internet connectivity,tmf","https://data.seattle.gov/d/2pa6-vpvm","https://data.seattle.gov/resource/2pa6-vpvm.json","02/03/2025 06:38:10 PM","02/27/2025 07:08:22 PM","02/03/2025 06:38:10 PM","false","2","0",null,null,null,null,null,null,null,null,null], [168,"xnhe-62h3","Mobile Recreation Programming","SPR Recreation Division programming locations including Rec'N the Streets Mobile Recreation, Park Ambassadors, Summer Lunch & Playground, and others. In response to the COVID-19 pandemic, Recreation Division programming continues to offer outdoor opportunities to recreate under existing safety precautions. The mission of Rec'N the Streets in particular is: everyone should have access to recreation in their communities; for those in areas with health disparities and no access to these activities, we bring the recreation to them.

    Refresh Cycle: Daily

    Feature Class: DPR.MobileRec_PT
    ","Allen Grissom","federated_href",null,"common data layers,mobile recreation programming,parks,seattle gis open data,spr","https://data.seattle.gov/d/xnhe-62h3","https://data.seattle.gov/resource/xnhe-62h3.json","02/03/2025 06:38:28 PM","09/01/2025 07:03:57 PM","02/03/2025 06:38:28 PM","false","0","0",null,null,null,null,null,null,null,null,null], [169,"r2ha-6ph7","ECA Flood Prone Areas","Displays Environmentally Critical Areas (ECA) in the City of Seattle. For more information about the definition of the ECA layers, see Seattle Municipal Code section 25.09.

    Updated as needed.
    ","Allen Grissom","federated_href",null,"eca,seattle gis open data","https://data.seattle.gov/d/r2ha-6ph7","https://data.seattle.gov/resource/r2ha-6ph7.json","02/03/2025 06:38:20 PM","02/27/2025 07:08:18 PM","02/03/2025 06:38:20 PM","false","0","0",null,null,null,null,null,null,null,null,null], [170,"7icg-3ehs","SPU DWW Proposed Swales","The DWW (Drainage and Waste Water) GSI (Green Stormwater Infrastructure) layer consists of line and polygon representations of the following features: Swales (biofiltration, bioretention, biofiltration/bioretention, and conveyance) are generally shallow depressions with a designed mix of soil and plants which break down pollutants through natural processes while reducing runoff. Permeable pavement is a paving system which allows rainfall to percolate into an underlying soil or aggregate storage reservoir. Underdrain piping systems are provided to prevent prolonged ponding of stormwater or to collect and convey water to another facility. Rain gardens are less engineered systems that are designed to mitigate water from the sidewalk only and have two inches or less of ponded depth. The drainage structures represented in the GSI points are not all unique to GSI, however, they are specifically part of SPU GSI projects.

    The data is being refreshed weekly.
    ","Allen Grissom","federated_href",null,"biofiltration,bioretention,conveyance,dww,gis,green roof,green storm infrastructure,gsi,modular soil cell,permeable pavement,polygon,rain garden,seattle gis open data,silva cell,spu,surface drainage,surface drainline,swale","https://data.seattle.gov/d/7icg-3ehs","https://data.seattle.gov/resource/7icg-3ehs.json","02/03/2025 06:37:40 PM","08/26/2025 07:02:10 PM","02/03/2025 06:37:40 PM","false","0","0",null,null,null,null,null,null,null,null,null], [171,"3qbw-quib","Public Garages and Parking Lots","Data showing location and characteristics of off-street parking facilities (above-ground, below ground and surface lots) within the city of Seattle.

    Data source:  SDOT.Park_Fac_ReadOnly
    Update cycle:  Weekly
    ","Allen Grissom","federated_href",null,"garage,gis,lots,parking,parking lot,sdot,seattle gis open data,transportation","https://data.seattle.gov/d/3qbw-quib","https://data.seattle.gov/resource/3qbw-quib.json","02/03/2025 06:37:32 PM","09/01/2025 07:03:45 PM","02/03/2025 06:37:32 PM","false","0","0",null,null,null,null,null,null,null,null,null], [172,"df2d-t5bb","Teen Life Center","Seattle Parks and Recreation Teen Life Centers locations. SPR Teen Life Centers are locations where the parks department provides a safe space for teen activities.

    Refresh Cycle: Weekly

    Feature Class: DPR.TeenLifeCenter
    ","Allen Grissom","federated_href",null,"common data layers,parks,seattle gis open data,spr,teen life center","https://data.seattle.gov/d/df2d-t5bb","https://data.seattle.gov/resource/df2d-t5bb.json","02/03/2025 06:38:32 PM","09/01/2025 07:03:49 PM","02/03/2025 06:38:32 PM","false","0","0",null,null,null,null,null,null,null,null,null], [173,"np8f-vxby","Aba Rem Surface Drainage Curb and Gutter","
    Displays the data from DWW.ditch_culvert_ln_pv with the following query, DCH_LIFECYCLE_CODE IN ( 'C' , 'UNK' , 'T', 'TBC', 'U', 'PC' ) And DCH_FEATYPE_CODE IN ( 'CDC' , 'CRB' ,  'SDR' , 'UNK' ).  The layer is symbolized on the attribute SYMBOL.  Labels are based on the attribute DCH_OWNER_NAME.  This layer will not display when zoomed out beyond 1:7,000.  Maintained by SPU GIS DWW Data Maintenance staff.
    Refreshed weekly.  
    ","Allen Grissom","federated_href",null,"cdr,crb,curb,curb drain cut,gutter,sdr,seattle gis open data,surface drainage","https://data.seattle.gov/d/np8f-vxby","https://data.seattle.gov/resource/np8f-vxby.json","02/03/2025 06:38:14 PM","09/01/2025 07:03:45 PM","02/03/2025 06:38:14 PM","false","0","0",null,null,null,null,null,null,null,null,null], [174,"w4qi-sry8","Rent Burden Greater than 30%","Displacement risk indicator showing how many households within the specified groups are facing housing cost burden (contributing more than 30% of monthly income toward housing costs).","Allen Grissom","federated_href",null,"gis,hdri,ipums,planning,seattle gis open data","https://data.seattle.gov/d/w4qi-sry8","https://data.seattle.gov/resource/w4qi-sry8.json","10/22/2024 09:13:11 PM","01/31/2025 07:27:39 PM","10/22/2024 09:13:11 PM","false","5","0",null,null,null,null,null,null,null,null,null], [175,"jgaf-27y2","Unreinforced Masonry Buildings (URM)","


    How were URMs in this database identified?

    \n\n

    SDCI compiled an inventory of URM buildings from various\nvisual and permit research surveys performed over the years. This inventory was\nvalidated by reviewing photographs of the buildings, visiting selected\nbuildings to view the exterior construction details, and reviewing permit\nrecords and other documents, to verify each building should be included. The 2016\nReport to Policy Committee on URM List Validation provides a detailed\ndescription of the data validation process.

    \n\n


    \n\n

    Are all of Seattle’s URMs included in this database?

    \n\n

    This URM database is intended to be a comprehensive\ninventory of URM buildings in Seattle. There may be URM buildings that were not\nidentified during the City’s inventory process; if a building is found to\ncontain URM load bearing walls and is not included in the inventory, it will be\nclassified as a URM and subject to future mandatory retrofit requirements.

    \n\n


    \n\n

    How often is this database updated? 

    \n\n

    The URM database is maintained regularly by staff, and updates are pushed to this dataset weekly. 

    \n\n


    \n\n

    How does the City recognize URM buildings as retrofitted?

    \n\n

    A URM building owner must provide the required\ndocumentation and follow submittal\nprocedures to demonstrate compliance with Seattle Existing Building Code\nsection 304.5.1.\nThis code section establishes a minimum standard for a URM to be recognized as\nretrofitted. Once SDCI approves this documentation, the building’s status in\nthe “Confirmed Compliant Retrofit” column will be updated to “Yes”. An adjacent\ncolumn, “Retrofit Method per SEBC 304.5.1”, will be updated to reflect the\nappropriate level of completed retrofit. See page 3 for further description of\ncolumns and field values.

    \n\n


    \n\n

    When will URM retrofits be required?

    \n\n
      \n
    • Owners can undertake a voluntary retrofit at any time.
      • \n
    • Owners must retrofit URM building parapets (any wall\n that continues vertically past the roofline) when they are doing other\n permitted construction work in the building. (Per Seattle Existing\n Building Code 302.9\n and A113.6.)
      • \n
    • The SEBC currently requires that buildings be\n seismically retrofitted if owners are conducting a major renovation,\n occupying a vacant building, or changing the use or occupancy of the\n building.
      • \n
    • Future mandatory requirements:
      • \n
        \n
      • The City will not require a mandatory retrofit until\n financial and supportive resources have been clearly identified. The City\n passed Resolution\n 32033 in 2021 guiding the development of a Seattle mandatory URM\n retrofit program. The resolution recommends a variety of potential\n funding opportunities and f","Allen Grissom","federated_href",null,"sdci,unreinforced masonry buildings,urm","https://data.seattle.gov/d/jgaf-27y2","https://data.seattle.gov/resource/jgaf-27y2.json","02/03/2025 06:38:34 PM","09/01/2025 07:03:49 PM","02/03/2025 06:38:34 PM","false","0","0",null,null,null,null,null,null,null,null,null], [176,"mini-23gi","Parks","

        This grouped layer of City of Seattle Parks contains Parks centroids, Parks Boundary outlines, Parks, and also Parks not owned by Seattle Parks and Recreation.  

        Layers also available separately as hosted views:

        Parks Boundary Centroids

        Parks Boundary (outline)

        Parks Boundary (details)

        Parks Not SPR

        Refresh Cycle: Weekly on Mondays

        ","Allen Grissom","federated_href",null,"park,parks,seattle gis open data,spr","https://data.seattle.gov/d/mini-23gi","https://data.seattle.gov/resource/mini-23gi.json","02/03/2025 06:37:45 PM","09/01/2025 07:03:44 PM","02/03/2025 06:37:45 PM","false","0","0",null,null,null,null,null,null,null,null,null], [177,"fq38-i8sy","Parks Not SPR","

        This grouped layer of City of Seattle Parks contains Parks centroids, Parks Boundary outlines, Parks, and also Parks not owned by Seattle Parks and Recreation.  

        Layers also available separately as hosted views:

        Parks Boundary Centroids

        Parks Boundary (outline)

        Parks Boundary (details)

        Parks Not SPR

        Refresh Cycle: Weekly on Mondays

        ","Allen Grissom","federated_href",null,"park,parks,seattle gis open data,spr","https://data.seattle.gov/d/fq38-i8sy","https://data.seattle.gov/resource/fq38-i8sy.json","02/03/2025 06:37:45 PM","09/01/2025 07:03:43 PM","02/03/2025 06:37:45 PM","false","0","0",null,null,null,null,null,null,null,null,null], [178,"2sgn-9z4r","Park Boundary (centroids)","Seattle Park and Recreation Park Boundary Centroids.  This centroid layer is generated from the Park boundary outline.   This feature class is also derived weekly.","Allen Grissom","federated_href",null,"park,parks,seattle gis open data,spr","https://data.seattle.gov/d/2sgn-9z4r","https://data.seattle.gov/resource/2sgn-9z4r.json","02/03/2025 06:38:19 PM","09/01/2025 07:03:58 PM","02/03/2025 06:38:19 PM","false","0","0",null,null,null,null,null,null,null,null,null], [179,"8bvg-tin4","SDOT SU Districts","

        Displays the polygons and attributes of SDOT Street Use Districts throughout the City.

        Refresh Cycle: Daily Refresh

        Feature Class: SDOT.SU_Districts

        ","Allen Grissom","federated_href",null,"districts,sdot,seattle gis open data,street,transportation,use","https://data.seattle.gov/d/8bvg-tin4","https://data.seattle.gov/resource/8bvg-tin4.json","02/03/2025 06:37:43 PM","09/01/2025 07:03:49 PM","02/03/2025 06:37:43 PM","false","1","0",null,null,null,null,null,null,null,null,null], [180,"kg7h-t5j2","Curbspace Transit Layover","Displays curbspace transit layover data maintained by Seattle Department of Transportation.

        Refresh: Daily
        ","Allen Grissom","federated_href",null,"common data layer,curbspace transit layover,sdot","https://data.seattle.gov/d/kg7h-t5j2","https://data.seattle.gov/resource/kg7h-t5j2.json","02/07/2025 07:07:23 PM","09/01/2025 07:03:33 PM","02/07/2025 07:07:23 PM","false","380","0",null,null,null,null,null,null,null,null,null], [181,"3hii-z289","PSRC OD Trips","

        This\nlayer shows total trips by mode and their corresponding emissions \nacross different neighborhoods in Seattle. The data is mapped to census\ntracts.


        The\n data in this layer has been populated using an output from the \nPuget Sound Regional Council's (PSRC's) regional travel demand model. \nThis model is updated only once every few years and is therefore not \nideal for frequent data updates. The City is working on procuring more \nfrequent measured travel data from alternate sources.




        For more information please visit the One Seattle Climate Portal item description page.


        ","Allen Grissom","federated_href",null,"climate,emissions,ose,seattle gis open data","https://data.seattle.gov/d/3hii-z289","https://data.seattle.gov/resource/3hii-z289.json","02/03/2025 06:37:25 PM","02/27/2025 07:09:10 PM","02/03/2025 06:37:25 PM","false","0","0",null,null,null,null,null,null,null,null,null], [182,"3uqx-3u65","Race by Age Groups (B01001A-I)","Table from the American Community Survey (ACS) B01001A-I sex by age by race - data is grouped into three age group categories for each race, under 18, 18-64 and 65 and older. These are multiple, nonoverlapping vintages of the 5-year ACS estimates of population and housing attributes starting in 2010 shown by the corresponding census tract vintage. Also includes the most recent release annually.

        Data on total number of people by each race alone and in combination by each census tract has been transposed to support dashboard visualizations.

        King County, Washington census tracts with nonoverlapping vintages of the 5-year American Community Survey (ACS) estimates starting in 2010. Vintage identified in the "ACS Vintage" field.

        The census tract boundaries match the vintage of the ACS data (currently 2010 and 2020) so please note the geographic changes between the decades. 

        Tracts have been coded as being within the City of Seattle as well as assigned to neighborhood groups called "Community Reporting Areas". These areas were created after the 2000 census to provide geographically consistent neighborhoods through time for reporting U.S. Census Bureau data. This is not an attempt to identify neighborhood boundaries as defined by neighborhoods themselves.

        Vintages: 2010, 2015, 2020, 2021, Active, proposed, abandoned and removed secondary sewer and storm pipes that are not part of the mainline system (i.e. side sewers, service drains, etc.). Side Sewers are wastewater pipes from buildings and establishments that connect to mainline pipes. Service drains are stormwater pipes from buildings that connect to mainline pipes. Probable flow is the derived use classification based on what is the best estimation of usage broken out by drainage and sanitary.

        Refreshed weekly.
        ","Allen Grissom","federated_href",null,"aba rem non-mainlines,detention lines,detention polygons,non-mainlines,proposed non-mainlines,seattle gis open data,spu non-mainlines","https://data.seattle.gov/d/p2v9-zr4j","https://data.seattle.gov/resource/p2v9-zr4j.json","02/03/2025 06:38:03 PM","08/26/2025 07:02:06 PM","02/03/2025 06:38:03 PM","false","0","0",null,null,null,null,null,null,null,null,null], [184,"9r58-famg","OCCUPATION BY MEDIAN EARNINGS IN THE PAST 12 MONTHS (B24021)","Table from the American Community Survey (ACS) B24021 occupation by median earnings. These are multiple, nonoverlapping vintages of the 5-year ACS estimates of population and housing attributes starting in 2010 shown by the corresponding census tract vintage. Also includes the most recent release annually.

        King County, Washington census tracts with nonoverlapping vintages of the 5-year American Community Survey (ACS) estimates starting in 2010. Vintage identified in the "ACS Vintage" field.

        The census tract boundaries match the vintage of the ACS data (currently 2010 and 2020) so please note the geographic changes between the decades. 

        Tracts have been coded as being within the City of Seattle as well as assigned to neighborhood groups called "Community Reporting Areas". These areas were created after the 2000 census to provide geographically consistent neighborhoods through time for reporting U.S. Census Bureau data. This is not an attempt to identify neighborhood boundaries as defined by neighborhoods themselves.

        ACS Table(s): B24021

        Refresh Cycle: Daily

        Feature Class: TMC.TrafCam


        ","Allen Grissom","federated_href",null,"common data layers,sdot,seattle gis open data,traffic cameras,transportation","https://data.seattle.gov/d/mvth-ptq3","https://data.seattle.gov/resource/mvth-ptq3.json","02/03/2025 06:37:42 PM","09/01/2025 07:03:42 PM","02/03/2025 06:37:42 PM","false","0","0",null,null,null,null,null,null,null,null,null], [186,"7kuu-i5w2","SDOT.V SU PERMIT USE IMPACTS","An updated Permit Data Model that includes relationships between the component feature classes.  The Dissolved Use Impacts (SDOT.V_SU_PERMIT_USE_IMPACT_DISS) feature class is derived from dissolving the Use Impacts (SDOT.V_SU_PERMIT_USE_IMPACTS) feature class by Permit Number.  The Impacts feature class is the Use Impact street line segments that are associated with any give Permit point (V_SU_PERMITS).  The relationships connect the Permit points to the Dissolved Use Impacts and then the Dissolved Use Impacts to the component Use Impacts.  This data model allows you to see all impacted street line segments associated with any given Permit easily, while also being able to drill down to any specific Use Impact for a given Permit.  

        Service is constructed for use in the Right of Way Map.  

        Data set to Nightly Refresh.  

        Any Questions or Concerns contact the SDOT Street Use Data and GIS Team:  Craig Moore/Bryan Bommersbach
        ","Allen Grissom","federated_href",null,"permit data model,sdot,seattle gis open data,street use","https://data.seattle.gov/d/7kuu-i5w2","https://data.seattle.gov/resource/7kuu-i5w2.json","02/03/2025 06:37:31 PM","09/01/2025 07:03:29 PM","02/03/2025 06:37:31 PM","false","1","0",null,null,null,null,null,null,null,null,null], [187,"2mgx-de4g","Service Area Gaps","
        Seattle Parks and Recreation 2023 Walkability Gap Analysis. 

        SPR’s intent is to gain a more accurate picture of access, by measuring how people walk to a park or recreation facility. We are calling this "walkability".

        This map shows what a 5-minute and a 10-minute walking distance (or walkability area) looks like around park lands that are greater than 10,000 square feet in size.

        ","Allen Grissom","federated_href",null,"walkability,spr,walking analysis,seattle gis open data,gap analysis","https://data.seattle.gov/d/2mgx-de4g","https://data.seattle.gov/resource/2mgx-de4g.json","02/03/2025 06:38:22 PM","03/17/2025 07:05:05 PM","02/03/2025 06:38:22 PM","false","0","0",null,null,null,null,null,null,null,null,null], [188,"k649-a2jv","Public School Buffer (0.25 mi.)","Feature layer generated via the Create Drive Times tool. Inputs include SPS school access points & a walking distance of 0.25 mi. *to* each school access point.","Allen Grissom","federated_href",null,"analysis result,seattle gis open data,drive times,seattle school access points - public school access points","https://data.seattle.gov/d/k649-a2jv","https://data.seattle.gov/resource/k649-a2jv.json","02/03/2025 06:37:26 PM","02/27/2025 07:08:16 PM","02/03/2025 06:37:26 PM","false","0","0",null,null,null,null,null,null,null,null,null], [189,"r8y5-hp9f","2010 Census Block Seattle - Household Statistics","Data from:  2010 Decennial Census

        Decennial household data for Census Blocks in the City of Seattle.
        ","Allen Grissom","federated_href",null,"dc2010,blocks,households,gis,demographics,seattle gis open data,census,planning","https://data.seattle.gov/d/r8y5-hp9f","https://data.seattle.gov/resource/r8y5-hp9f.json","02/03/2025 06:38:13 PM","02/27/2025 07:09:01 PM","02/03/2025 06:38:13 PM","false","0","0",null,null,null,null,null,null,null,null,null], [190,"rqtp-6txr","SPU DWW Surface Drainage Points","Surface drainage points are structures that help direct rainwater in the City’s sub-surface pipe drainage system. The informal drainage system makes up nearly one-third of the City of Seattle footprint. This layer displays connected surface drainage points, regardless of ownership, that cannot be found in other layers.  For example, Catch Basins, Junction Boxes, Sandboxes, and Inlets are not included.  The data source is DWW.surface_drainline_pt_pv with the following data query:  SDP_LIFECYCLE_TEXT IN ( 'Connected' , 'Unknown' , 'Temporary' ,'To Be Connected', 'Under Construction', 'Provisionally Connected', 'Proposed', 'Abandoned', 'Abandoned Temporary', 'Removed') AND SDP_FEA_TYPE_TEXT IN ( 'Area Drain;Area Way;Driveway Drain' ,'Cleanout', 'Flow Control MH' , 'Infall' , 'Maintenance Hole' , 'Overflow MH' , 'Other' , 'Rubber Coupler' , 'Reducer' , 'Surface Cleanout' , 'Sedimentation Chamber;Sand Catcher;Sand Trap' , 'Stand Pipe' ,  'Weephole', 'Catch Basin MH', 'Vault', 'Underground Injection Cell; Drilled Drain')
        This layer does not display when zoomed out beyond 1:2,000.  Labels are based on the attribute SDP_ASSET_ID and only display when zoomed in to 1:1,000 or closer.  Only SPU owned assets will have a label.

        Refreshed weekly.
        ","Allen Grissom","federated_href",null,"area drain,area way,catch basin mh,cleanout,driveway drain,flow control mh,infall,maintenance hole,outfall,overflow mh,seattle gis open data,sedimentations chamber;sand catcher;sand trap,stand pipe,surface cleanout,surface drainage points,underground injection cell; drilled drain,vault,weephole","https://data.seattle.gov/d/rqtp-6txr","https://data.seattle.gov/resource/rqtp-6txr.json","02/03/2025 06:37:54 PM","02/27/2025 07:09:14 PM","02/03/2025 06:37:54 PM","false","0","0",null,null,null,null,null,null,null,null,null], [191,"xb2s-rmc9","Tree Canopy 2003","Symbolized data from DPR.UFCanopy. Does not display when zoomed out beyond 1:56,000.

        Static data, no updates.
        ","Allen Grissom","federated_href",null,"canopy cover,tree,seattle gis open data,urban forestry,gis","https://data.seattle.gov/d/xb2s-rmc9","https://data.seattle.gov/resource/xb2s-rmc9.json","02/03/2025 06:37:20 PM","02/27/2025 07:08:40 PM","02/03/2025 06:37:20 PM","false","0","0",null,null,null,null,null,null,null,null,null], [192,"6gs4-re3t","Seattle Public Libraries","
        Seattle Public Library offers books and media in locations throughout the city.  Please see website for more information.
        Each branch has website link, please use for hours and programs specific to location.

        Displays data from CARTO.LIBRARY.  Labels based on attribute LABEL.

        Updated as needed, last update August 2022.
        ","Allen Grissom","federated_href",null,"seattle gis open data,community service,books,spl,gis","https://data.seattle.gov/d/6gs4-re3t","https://data.seattle.gov/resource/6gs4-re3t.json","02/03/2025 06:38:37 PM","02/27/2025 07:08:16 PM","02/03/2025 06:38:37 PM","false","0","0",null,null,null,null,null,null,null,null,null], [193,"59v4-2mg6","SPU DWW Proposed Underdrains & Rain Gardens","The DWW (Drainage and Waste Water) GSI (Green Stormwater Infrastructure) layer consists of line and polygon representations of the following features: Swales (biofiltration, bioretention, biofiltration/bioretention, and conveyance) are generally shallow depressions with a designed mix of soil and plants which break down pollutants through natural processes while reducing runoff. Permeable pavement is a paving system which allows rainfall to percolate into an underlying soil or aggregate storage reservoir. Underdrain piping systems are provided to prevent prolonged ponding of stormwater or to collect and convey water to another facility. Rain gardens are less engineered systems that are designed to mitigate water from the sidewalk only and have two inches or less of ponded depth. The drainage structures represented in the GSI points are not all unique to GSI, however, they are specifically part of SPU GSI projects.

        The data is being refreshed weekly.
        ","Allen Grissom","federated_href",null,"green roof,gis,dww,seattle gis open data,rain garden,swale,surface drainline,surface drainage,spu,silva cell,conveyance,biofiltration,bioretention,permeable pavement,polygon,modular soil cell,gsi,green storm infrastructure","https://data.seattle.gov/d/59v4-2mg6","https://data.seattle.gov/resource/59v4-2mg6.json","02/03/2025 06:37:45 PM","08/26/2025 07:02:05 PM","02/03/2025 06:37:45 PM","false","0","0",null,null,null,null,null,null,null,null,null], [194,"pqms-vswr","2020 Census Block King County - Redistricting Data 2020","Census 2020 blocks in King County with selected P.L. 94-171 redistricting data.

        For more information about the P.L. 94-171 redistricting data, please visit the U.S. Census Bureau.  For a detailed description of the data included please see the 2020 Census State Redistricting Data Summary File. 

        Important note:  The Census Bureau advises analysts to aggregate blocks together to form larger geographic units before using the 2020 Census data. 

        Background: The Bureau used a new tool, called Differential Privacy, to inject statistical noise into the 2020 Census data in order to protect privacy. The resulting noise can cause substantial inaccuracy at the block level; combining data for blocks and other small geographies reduces the inaccuracy. For more information see Redistricting Data: What to Expect and When (census.gov), 2020 Census Data Products: Disclosure Avoidance Modernization.

        ","Allen Grissom","federated_href",null,"census 2020,census blocks,demographics,gis,planning,redistricting,seattle gis open data","https://data.seattle.gov/d/pqms-vswr","https://data.seattle.gov/resource/pqms-vswr.json","02/03/2025 06:37:23 PM","02/27/2025 07:08:01 PM","02/03/2025 06:37:23 PM","false","0","0",null,null,null,null,null,null,null,null,null], [195,"skbv-gsrb","Seattle City Limits","Contains data from CARTO.CTYLIMIT.

        Updated as needed.
        ","Allen Grissom","federated_href",null,"gis,political,seattle city limits,seattle gis open data,city limits","https://data.seattle.gov/d/skbv-gsrb","https://data.seattle.gov/resource/skbv-gsrb.json","02/03/2025 06:38:11 PM","02/27/2025 07:08:31 PM","02/03/2025 06:38:11 PM","false","0","0",null,null,null,null,null,null,null,null,null], [196,"r7vd-j5ce","A Census Tract (2010) Profile ACS 5-year Estimates 2006-2010","Data from:  American Community Survey, 5-year Series 2006-2010

        King County, Washington census tracts with American Community Survey data derived from the U.S. Census Bureau's demographic profiles (DP02-DP05).  The geo service includes over 50 attributes of the most frequently requested data.

        Tracts have been coded as being within the City of Seattle as well as assigned to neighborhood groups called "Community Reporting Areas". These areas were created after the 2000 census to provide geographically consistent neighborhoods through time for reporting U.S. Census Bureau data. This is not an attempt to identify neighborhood boundaries as defined by neighborhoods themselves.

        Please see the item page for the source map service for more information.
        ","Allen Grissom","federated_href",null,"planning,demographics,gis,acs,acs5y10,census,tracts,seattle gis open data","https://data.seattle.gov/d/r7vd-j5ce","https://data.seattle.gov/resource/r7vd-j5ce.json","02/03/2025 06:38:14 PM","02/27/2025 07:08:58 PM","02/03/2025 06:38:14 PM","false","0","0",null,null,null,null,null,null,null,null,null], [197,"e9ve-4v8v","Single-Family Home Flips by Census Tract","Displacement risk indicator showing the number of property transactions of single-family homes recorded by the King County Assessor that can be classified as\n "flips" (meaning that the home had previously been sold within the past\n year and that the sale price had increased between sales at least twice\n as fast as the increase in regional housing Consumer Price Index during\n the same time period). Summarized at the census tract level; available for every year from 2004 through the \nmost recent year of \navailable data.","Allen Grissom","federated_href",null,"gis,planning,king county assessor,hdri,seattle gis open data","https://data.seattle.gov/d/e9ve-4v8v","https://data.seattle.gov/resource/e9ve-4v8v.json","02/03/2025 06:38:12 PM","05/07/2025 07:03:34 PM","02/03/2025 06:38:12 PM","false","0","0",null,null,null,null,null,null,null,null,null], [198,"vtrr-tzqh","Renter Households by Income Category","Displacement risk indicator showing the distribution of renter households and renter units between different income brackets, covering the entire city from 2006 to the most recent year of data available.","Allen Grissom","federated_href",null,"seattle gis open data,gis,hdri,ipums,planning","https://data.seattle.gov/d/vtrr-tzqh","https://data.seattle.gov/resource/vtrr-tzqh.json","10/22/2024 09:13:10 PM","01/31/2025 07:27:38 PM","10/22/2024 09:13:10 PM","false","3","0",null,null,null,null,null,null,null,null,null], [199,"j2rj-2z7j","Public and Private Parcels with No Development Expected","

        These layers are used as part of the City of Seattle Zoned Development Capacity Model 2016. Includes all input and output layers..

        To estimate potential development, the City of Seattle maintains a zoned development capacity model that compares existing development to an estimate of what could be built under current zoning.

        The difference between existing and potential development yields the capacity for new residential and commercial development.

        There is a report of summary findings available as part of Seattle 2035 as well as resources for reports, methodologies and data.

        When downloading the data, please select a layer and then "GDB Download" under "Additional Resources" to preserve long field names.  The associated file geodatabase contains all the feature classes for the 10 layers represented.

        ","Allen Grissom","federated_href",null,"zoned capacity,development,gis,planning,seattle gis open data,buildable lands,capacity,capacity model 2016,zoning,devcapapp","https://data.seattle.gov/d/j2rj-2z7j","https://data.seattle.gov/resource/j2rj-2z7j.json","02/03/2025 06:37:28 PM","02/27/2025 07:08:31 PM","02/03/2025 06:37:28 PM","false","1","0",null,null,null,null,null,null,null,null,null], [200,"ud3t-jn2g","SPU DWW Mainlines (Probable Flow)","SPU DWW Mainlines is a Group Layer containing all Lifecycles, Ownerships, and other variations of Drainage and Wastewater Mainlines. The Connected Mainlines are symbolized differently in two different layers, one displaying the Permitted Use of the pipe and another displaying the Probable Flow.

        Permitted Use describes the intended use of the pipe, including Sanitary, Combined, or Drainage flows. Probable Flow takes into account upstream pipes and makes an assumption on the type of flow within the pipes.

        Proposed Mainlines are planned but not yet installed or as-built.

        SPU DWW Aba Rem Mainlines refers to Abandoned and Removed Mainlines.

        Force Mainlines are Mainlines under pressure. Detention Lines and Polygons refer to Mainline Detention Infrastructure.

        The data is refreshed weekly and is maintained by the SPU GIS Data Maintenance Team. 
        ","Allen Grissom","federated_href",null,"combined,dww,mainline,seattle gis open data,sewer,spu,drainage","https://data.seattle.gov/d/ud3t-jn2g","https://data.seattle.gov/resource/ud3t-jn2g.json","02/03/2025 06:38:17 PM","08/20/2025 07:04:33 PM","02/03/2025 06:38:17 PM","false","0","0",null,null,null,null,null,null,null,null,null], [201,"tekv-a74n","Proposed Catch Basins","This layer displays all the catch basins, catch basin grated tops, sandboxes, junction boxes, inlets and trash racks within the City of Seattle (and the former service area north of the City limits) regardless of ownership.
        A catch basin is a connector to the storm drain system that typically includes an inlet where stormwater enters the catch basin and a sump to capture sediment, debris, and associated pollutants prior to the surface water flowing into a storm or sewer pipe. There are two main types of inlets: side inlets and grated inlets.  Side inlets are located adjacent to the curb and rely on the ability of the opening under the curb to capture flow. Grated inlets have gratings or metal grids to prevent large objects and debris from falling into the combined sewer or drainage system.  They collect surface runoff for conveyance in a pipe system. Sandboxes have wooden lids and are filled with sand or gravel and drain directly into the ground or to a culvert as part of the informal drainage system. Sandboxes are no longer being installed. Junction boxes are cement structure with a grated metal lid, shallow in depth, generally connect culverts and are inline as part of the informal ditch and culvert system.  Trash racks are grated structures that collect debris. Trash racks may be on maintenance holes, catch basins, other structures, or streams.
        Data source is DWW.catch_basin_pt_pv, and DWW.APPURTENANCE_PT_PV. Maintained by SPU GIS DWW Data Maintenance staff. This layer does not display when zoomed out beyond 1:899.

        Refreshed daily.
        ","Allen Grissom","federated_href",null,"junction box,jb,sandbox,sb,inlet,inl,cbl,cb,catch basin - grated top,catch basin,appurtenance point,junction box with sump,trr,trash racks,seattle gis open data,jbs","https://data.seattle.gov/d/tekv-a74n","https://data.seattle.gov/resource/tekv-a74n.json","02/03/2025 06:38:07 PM","08/30/2025 07:03:55 PM","02/03/2025 06:38:07 PM","false","0","0",null,null,null,null,null,null,null,null,null], [202,"43de-vw4u","SPU DWW Non-Mainline Points","
        This layer displays all the connected and to be connected non-mainline points within the City of Seattle (and the former service area north of the City limits) regardless of ownership.  The data source is DWW.non_mainline_pt_pv with the following data query, NMNLPT_LIFECYCLE_CODE IN( 'C' , 'UNK' , 'T' ,'TBC', 'U', 'PC') AND NMNLPT_FEATYPE_CODE <> 'WQS'.  The layer is symbolized on the attribute FEATYPE. The labels are based on the attribute FEATYPE.  This layer does not display when zoomed out beyond 1:899.  Maintained by SPU GIS DWW Data Maintenance staff.  
        Refreshed weekly.  
        ","Allen Grissom","federated_href",null,"wyes,nodes,junction point,stack plumbing,catch basin,inlets,downspouts,lateral points,seattle gis open data,side sewer points","https://data.seattle.gov/d/43de-vw4u","https://data.seattle.gov/resource/43de-vw4u.json","02/03/2025 06:37:52 PM","02/27/2025 07:09:00 PM","02/03/2025 06:37:52 PM","false","0","0",null,null,null,null,null,null,null,null,null], [203,"kv8m-cwfc","Aba Rem Non-Mainline Points","
        This layer displays all the connected and to be connected non-mainline points within the City of Seattle (and the former service area north of the City limits) regardless of ownership.  The data source is DWW.non_mainline_pt_pv with the following data query, NMNLPT_LIFECYCLE_CODE IN( 'C' , 'UNK' , 'T' ,'TBC', 'U', 'PC') AND NMNLPT_FEATYPE_CODE <> 'WQS'.  The layer is symbolized on the attribute FEATYPE. The labels are based on the attribute FEATYPE.  This layer does not display when zoomed out beyond 1:899.  Maintained by SPU GIS DWW Data Maintenance staff.  
        Refreshed weekly.  
        ","Allen Grissom","federated_href",null,"inlets,catch basin,wyes,stack plumbing,side sewer points,seattle gis open data,nodes,downspouts,lateral points,junction point","https://data.seattle.gov/d/kv8m-cwfc","https://data.seattle.gov/resource/kv8m-cwfc.json","02/03/2025 06:37:53 PM","08/28/2025 07:04:34 PM","02/03/2025 06:37:53 PM","false","0","0",null,null,null,null,null,null,null,null,null], [204,"tkws-n9pf","SPU DWW Ditches and Culverts","
        Ditches are small to moderate depressions that are created to channel water.  Culverts are pipes that are open on both ends that conduct water under a road or railway. 

        Displays data from the feature class DWW.ditch_culvert_ln_pv, SPU DWW Ditches and Culverts uses the following query:  (DCH_LIFECYCLE_CODE IN ( 'C' , 'UNK' , 'T', 'TBC', 'U', 'PC') AND DCH_FEATYPE_CODE IN( 'DCH' , 'CUL' ,'PHM').  SPU DWW Proposed Ditches and Culverts uses the following query:  DCH_LIFECYCLE_CODE = 'PRO' And DCH_FEATYPE_CODE IN ('DCH', 'CUL', 'PHM').  SPU DWW Aba Rem Ditches and Culverts has the following query:  DCH_LIFECYCLE_CODE IN ('A', 'R', 'AT').  This layer does not display when zoomed out beyond 1:7,000.  Labels do not display when zoomed out beyond 1:4800.  Label is based on the attribute DCH_OWNER_CODE.  Maintained by SPU GIS DWW Data Maintenance staff.  

        Refreshed weekly.
        ","Allen Grissom","federated_href",null,"public utility,dww,seattle gis open data,ditch,surface drainline,culvert","https://data.seattle.gov/d/tkws-n9pf","https://data.seattle.gov/resource/tkws-n9pf.json","02/03/2025 06:38:05 PM","08/26/2025 07:02:23 PM","02/03/2025 06:38:05 PM","false","0","0",null,null,null,null,null,null,null,null,null], [205,"4kj9-7ew5","DPD council districts shore clip - Absolute % Change","

        This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.

        University of Vermont Spatial Analysis Laboratory

        This dataset consists of City of Seattle Council District areas as they existed in the first comparison year (2016) which cover the following tree canopy categories:

        • Existing tree canopy percent
        • Possible tree canopy - vegetation percent
        • Relative percent change
        • Absolute percent change

        For more information, please see the 2021 Tree Canopy Assessment.

        ","Allen Grissom","federated_href",null,"seattle office of sustainability & environment,tree canopy,seattle gis open data,seattle,land cover,flora,environment,council districts,biota,2021,2016,sustainability","https://data.seattle.gov/d/4kj9-7ew5","https://data.seattle.gov/resource/4kj9-7ew5.json","02/03/2025 06:38:40 PM","04/12/2025 07:06:25 PM","02/03/2025 06:38:40 PM","false","0","0",null,null,null,null,null,null,null,null,null], [206,"yn5d-3bhd","SPU Retail Water Service Area","NEW WATER SERVICE\n

        Constructing a new home or building or renovating an existing \nfacility? Information for property owners who want new connections to \nSeattle’s water supply system or to upgrade existing water services. \nLearn about large and small water service, standard charges, street \nrestoration, how to check for water availability, getting help \ninstalling water mains and installation requirements. Learn more about New Water Service.

        ","Allen Grissom","federated_href",null,"seattle gis open data,spu,water","https://data.seattle.gov/d/yn5d-3bhd","https://data.seattle.gov/resource/yn5d-3bhd.json","02/03/2025 06:37:30 PM","02/27/2025 07:07:59 PM","02/03/2025 06:37:30 PM","false","0","0",null,null,null,null,null,null,null,null,null], [207,"b7um-bj3e","Enhanced Street Crossings","
        The Pedestrian Element of the Seattle Transportation Plan (STP) is a blueprint to create a more walkable Seattle and provides a suite of pedestrian improvements across the City. The intent is to focus resources on access to public schools, parks, and light rail, streetcar, and frequent transit networks12, in areas where walking conditions are difficult, and where people most need to be able to walk.  It highlights the needs of people walking and rolling and guides future investments to achieve STP goals.

        The process is based on an analysis of factors related to the STP’s goals of safety, equity, sustainability, mobility & economic vitality, livability, and maintenance & modernization. This data-driven prioritization framework helps the city provide targeted improvements that reflect community priorities, City policy objectives, and current data.  

        Throughout the life of the STP, there will be opportunities to evaluate what has been implemented and what can be prioritized in future funding cycles, within the context of the STP's goals, funding availability and project readiness, and other emergent needs. Decisions made as we craft regular STP Implementation Plans will determine the pace of STP Pedestrian Priority Investment Network implementation.  

        Refresh Cycle: None, Static. Manually as required.
        • Original Publish: 5/23/2024
        • Update Publish: 7/11/2024 per Policy and Planning team
        Contact: Policy and Planning team

        ","Allen Grissom","federated_href",null,"stp,pedestrian,sdot,pedestrian element,seattle transportation plan,seattle gis open data,policy and planning,gis","https://data.seattle.gov/d/b7um-bj3e","https://data.seattle.gov/resource/b7um-bj3e.json","02/03/2025 06:37:58 PM","02/27/2025 07:08:58 PM","02/03/2025 06:37:58 PM","false","0","0",null,null,null,null,null,null,null,null,null], [208,"3c9k-sm8w","ECA Potential Slide Areas","
        Displays areas with potential landslides in the City of Seattle.

        A polygon feature class showing potential landslide areas. Used to implement and regulate the City of Seattle's Environmentally Critical Areas (ECA) policies. Last updated in 2001 via the Seattle Landslide Study.  The original data was created from City of Seattle State Environmental Policy Act (SEPA) maps which table digitized in 1995 by Donald Tubbs. Shannon & Wilson added runoff zones & edge smoothing.

        Areas with indications of past landslide activity, such as landslide headscarps and sidescarps, hummocky terrain, areas with geologic conditions that can promote earth movement, and areas with signs of potential landsliding, such as springs, groundwater seepage, and bowed or backtilted trees. 

        For more information about the definition of potential landslide areas, see Seattle Municipal Code section 25.09.012, Environmentally Critical Areas (ECA) definitions.

        Updated as needed.
        ","Allen Grissom","federated_href",null,"sdci,seattle gis open data,terrain,landuse,environmental,eca,planning,potential slide areas","https://data.seattle.gov/d/3c9k-sm8w","https://data.seattle.gov/resource/3c9k-sm8w.json","02/03/2025 06:38:31 PM","08/31/2025 07:04:10 PM","02/03/2025 06:38:31 PM","false","0","0",null,null,null,null,null,null,null,null,null], [209,"vhna-33bt","Seattle Police Department Beats (Web Mercator)","The Seattle Police Department has different iterations of police beats as the city's needs evolved.  This layer represents what the beats looked like from 2017 to present.  
        This layer was published in the WGS 1984 Web Mercator Auxiliary Sphere coordinate system.
        ","Allen Grissom","federated_href",null,"web mercator,police,seattle gis open data,seattle police,spd,beats,wm","https://data.seattle.gov/d/vhna-33bt","https://data.seattle.gov/resource/vhna-33bt.json","02/03/2025 06:38:40 PM","02/27/2025 07:08:07 PM","02/03/2025 06:38:40 PM","false","1","0",null,null,null,null,null,null,null,null,null], [210,"guzz-s9tp","Existing Tree Canopy % and Environmental Justice Priority Level","
        This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.

        University of Vermont Spatial Analysis Laboratory

        The dataset covers the following tree canopy categories:
        • Environmental Justice Priority Areas
        • Census tracts composite / quintile
        • Existing tree canopy percentage & environmental justice priority level
        • Existing tree canopy
        • Possible tree canopy
        • Relative percentage change
        For more information, please see the 2021 Tree Canopy Assessment.
        ","Allen Grissom","federated_href",null,"seattle gis open data,tree canopy,seattle office of sustainability & environment,seattle,land cover,environment,block groups,biota,2021,2016","https://data.seattle.gov/d/guzz-s9tp","https://data.seattle.gov/resource/guzz-s9tp.json","02/03/2025 06:38:24 PM","02/27/2025 07:09:20 PM","02/03/2025 06:38:24 PM","false","0","0",null,null,null,null,null,null,null,null,null], [211,"esk7-ukjc","2019 Traffic Flow Counts","Displays vehicle traffic volumes for arterial streets in Seattle based on spot studies that have been adjusted for seasonal variation. Data is a one time snapshot for 2019 and is maintained by Seattle Department of Transportation.

        Contact: Traffic Operations

        Refresh Cycle: None, Snapshot for 2019 Only.

        ","Allen Grissom","federated_href",null,"counts,traffic,seattle gis open data,seattle,sdot,transportation,2019,gis,flow,wa,volume","https://data.seattle.gov/d/esk7-ukjc","https://data.seattle.gov/resource/esk7-ukjc.json","02/03/2025 06:37:56 PM","07/14/2025 07:07:22 PM","02/03/2025 06:37:56 PM","false","1","0",null,null,null,null,null,null,null,null,null], [212,"iucm-fb9z","Option Elementary School Geo Zones 2023-2024","

        2023 - 2024 Elementary option school 'geo-zone' boundaries for Seattle Public Schools.

        Students who want to attend an option school need to apply. No one is assigned automatically to an option school. Each option school has a geographic priority area (geo zone). The geographic zone tiebreaker is for applicants to an option school who live within a defined area in proximity to the school. Please note that living within the geographic zone does not guarantee assignment to the requested option school, but gives a priority for admission after siblings. Geo Zones may change from year to year as a tool for capacity management.

        For questions, please contact enrollmentplanning@seattleschools.org

        ","Allen Grissom","federated_href",null,"gis,sps,seattle public schools,seattle gis open data,school,elementary","https://data.seattle.gov/d/iucm-fb9z","https://data.seattle.gov/resource/iucm-fb9z.json","02/03/2025 06:38:16 PM","02/27/2025 07:08:13 PM","02/03/2025 06:38:16 PM","false","0","0",null,null,null,null,null,null,null,null,null], [213,"fv8t-86ub","Station Area Overlay (light rail)","
        Note:  This map is not an official zoning map.  For precise zoning information, please call or visit the Seattle Municipal Tower, Seattle Department of Construction and Inspections

        City of Seattle's land use zoning overlay around Sound Transit light rail stations.","Allen Grissom","federated_href",null,"gis,land use,planning,sdcizoningmap,seattle gis open data,zoning","https://data.seattle.gov/d/fv8t-86ub","https://data.seattle.gov/resource/fv8t-86ub.json","02/03/2025 06:38:12 PM","06/26/2025 04:38:07 PM","02/03/2025 06:38:12 PM","false","0","0",null,null,null,null,null,null,null,null,null], [214,"ahmg-skwq","Current Land Use Zoning - Additional Overlay Areas","
        Note:  This map is not an official zoning map.  For precise zoning information, please call or visit the Seattle Municipal Tower, Seattle Department of Construction and Inspections

        City of Seattle's land use zoning overlay areas for specific regulation purposes.","Allen Grissom","federated_href",null,"gis,land use,planning,sdcizoningmap,seattle gis open data,zoning","https://data.seattle.gov/d/ahmg-skwq","https://data.seattle.gov/resource/ahmg-skwq.json","02/03/2025 06:37:25 PM","06/26/2025 04:37:43 PM","02/03/2025 06:37:25 PM","false","0","0",null,null,null,null,null,null,null,null,null], [215,"qa75-nuwx","Historic and Special Review Districts","
        Note:  This map is not an official zoning map.  For precise zoning information, please call or visit the Seattle Municipal Tower, Seattle Department of Construction and Inspections

        City of Seattle's land use zoning historic district and special review district overlays.","Allen Grissom","federated_href",null,"gis,land use,planning,sdcizoningmap,seattle gis open data,zoning","https://data.seattle.gov/d/qa75-nuwx","https://data.seattle.gov/resource/qa75-nuwx.json","02/03/2025 06:38:11 PM","06/26/2025 04:37:57 PM","02/03/2025 06:38:11 PM","false","0","0",null,null,null,null,null,null,null,null,null], [216,"678c-grrf","Single and Multi Family Residential","

        These layers are used as part of the City of Seattle Zoned Development Capacity Model 2016. Includes all input and output layers..

        To estimate potential development, the City of Seattle maintains a zoned development capacity model that compares existing development to an estimate of what could be built under current zoning.

        The difference between existing and potential development yields the capacity for new residential and commercial development.

        There is a report of summary findings available as part of Seattle 2035 as well as resources for reports, methodologies and data.

        When downloading the data, please select a layer and then "GDB Download" under "Additional Resources" to preserve long field names.  The associated file geodatabase contains all the feature classes for the 10 layers represented.

        ","Allen Grissom","federated_href",null,"buildable lands,capacity,capacity model 2016,devcapapp,development,gis,planning,seattle gis open data,zoned capacity,zoning","https://data.seattle.gov/d/678c-grrf","https://data.seattle.gov/resource/678c-grrf.json","02/03/2025 06:37:27 PM","02/27/2025 07:08:15 PM","02/03/2025 06:37:27 PM","false","0","0",null,null,null,null,null,null,null,null,null], [217,"t6f9-ztp2","SDOT Collisions Persons","SDOT Collisions-Persons data provided by WSDOT and stored in the Infor System. Displays the locations and attributes of SDOT Collisions data specific to person(s) involved in the collisions.

        Refresh Cycle: Daily Refresh

        SDOT Programs: Safe Routes to School, Vision Zero Program

        Contact: DOT_IT_GIS@seattle.gov


        ","Allen Grissom","federated_href",null,"collision,person,sdot,seattle gis open data,transportation","https://data.seattle.gov/d/t6f9-ztp2","https://data.seattle.gov/resource/t6f9-ztp2.json","02/03/2025 06:37:42 PM","09/01/2025 07:03:30 PM","02/03/2025 06:37:42 PM","false","1","0",null,null,null,null,null,null,null,null,null], [218,"9egb-rsqg","Catch Basins","This layer displays all the catch basins, catch basin grated tops, sandboxes, junction boxes, inlets and trash racks within the City of Seattle (and the former service area north of the City limits) regardless of ownership.
        A catch basin is a connector to the storm drain system that typically includes an inlet where stormwater enters the catch basin and a sump to capture sediment, debris, and associated pollutants prior to the surface water flowing into a storm or sewer pipe. There are two main types of inlets: side inlets and grated inlets.  Side inlets are located adjacent to the curb and rely on the ability of the opening under the curb to capture flow. Grated inlets have gratings or metal grids to prevent large objects and debris from falling into the combined sewer or drainage system.  They collect surface runoff for conveyance in a pipe system. Sandboxes have wooden lids and are filled with sand or gravel and drain directly into the ground or to a culvert as part of the informal drainage system. Sandboxes are no longer being installed. Junction boxes are cement structure with a grated metal lid, shallow in depth, generally connect culverts and are inline as part of the informal ditch and culvert system.  Trash racks are grated structures that collect debris. Trash racks may be on maintenance holes, catch basins, other structures, or streams.
        Data source is DWW.catch_basin_pt_pv, and DWW.APPURTENANCE_PT_PV. Maintained by SPU GIS DWW Data Maintenance staff. This layer does not display when zoomed out beyond 1:899.

        Refreshed daily.
        ","Allen Grissom","federated_href",null,"appurtenance point,catch basin,catch basin - grated top,cb,cbl,inl,inlet,jb,jbs,junction box,junction box with sump,sandbox,sb,seattle gis open data,trash racks,trr","https://data.seattle.gov/d/9egb-rsqg","https://data.seattle.gov/resource/9egb-rsqg.json","02/03/2025 06:38:06 PM","09/01/2025 07:03:45 PM","02/03/2025 06:38:06 PM","false","0","0",null,null,null,null,null,null,null,null,null], [219,"jkxf-2hbw","ECA Steep Slope","
        Displays areas with 40% steep slope or greater in the City of Seattle.

        A polygon feature class showing areas with an incline of 40% or more (10 feet of vertical rise over a horizontal distance of 25 feet or less) with a height of at least 10 feet. 

        This layer was produced using a combination of 2001 LIDAR contours (Puget Sound LIDAR Consortium) and the 1993 topographic contours from aerial photos. The Steep Slope layer was most recently updated under SDCI Director's Rule 12-2019.
         
        The steep slope area map is called “advisory” because the mapping is used by the Seattle Department of Construction and Inspections for initial information and screening. Whether or not a site is eventually treated as an environmentally critical area is based on the actual topography of the ground surface.
         
        For more information about the definition of steep slope erosion hazard areas, see Seattle Municipal Code section 25.09.012, Environmentally Critical Areas (ECA) definitions. 

        Because of the size of this dataset, we do not recommend trying to download it. Please use as a service. If you need a particular area extracted, please use this form to make a request:
        Displays retaining walls maintained by the Seattle Department of Transportation.

        Views: Link, adds recommended definition query for general use: 'CURRENT_STATUS IN(INSVC, PLANNED) OR CURRENT_STATUS is empty string'

        Refresh Cycle: Daily

        Feature Class: SDOT.V_RETAININGWALL
        ","Allen Grissom","federated_href",null,"common data layers,retaining walls,sdot,seattle gis open data,transportation","https://data.seattle.gov/d/bnb9-crwu","https://data.seattle.gov/resource/bnb9-crwu.json","02/03/2025 06:37:38 PM","09/01/2025 07:03:56 PM","02/03/2025 06:37:38 PM","false","1","0",null,null,null,null,null,null,null,null,null], [222,"ypxj-ijse","Restricted Parking Zone A or B Husky Game Days","Displays Restricted Parking Zone Areas maintained by the Seattle Department of Transportation. This is a group layer consisting of the following layers:
        • Restricted Parking Zone Signed Blocks (V_RPZ)
        • Residents Eligible for Restricted Parking Zone Permits (V_Blockface, Def Query: Parking_Category <> 'None')
        • Restricted Parking Zone A or B Husky Game Days (RPZ_AreasAorB)
        • Restricted Parking Zones (RPZ_AreasNotAorB)
        Refresh Cycle: Daily
        ","Allen Grissom","federated_href",null,"common data layers,rpz,restricted parking zone areas,sdot,seattle gis open data,transportation","https://data.seattle.gov/d/ypxj-ijse","https://data.seattle.gov/resource/ypxj-ijse.json","02/03/2025 06:37:41 PM","09/01/2025 07:03:53 PM","02/03/2025 06:37:41 PM","false","1","0",null,null,null,null,null,null,null,null,null], [223,"qdy7-7spi","Freight","Freight related data grouped together and made up of major truck streets, freight network, over legal routes, and heavy haul network. Data is maintained by Seattle Department of Transportation.

        Feature Class:
        • MajTrkStrts
        • FMP_FreightNetwork
        • Freight_OverLegalRoutes
        • Freight_HeavyHaulNetwork

        Refresh Cycle: Nightly Refresh
        ","Allen Grissom","federated_href",null,"freight,freight network,heavy haul network,major truck streets,over legal routes,sdot,seattle gis open data","https://data.seattle.gov/d/qdy7-7spi","https://data.seattle.gov/resource/qdy7-7spi.json","02/03/2025 06:37:34 PM","09/01/2025 07:03:47 PM","02/03/2025 06:37:34 PM","false","1","0",null,null,null,null,null,null,null,null,null], [224,"cw8r-ytaq","Parks Not SPR","These are Parks that are not owned by Seattle Parks and Recreation but open to the public. These are parks that are made available to the public by other government agencies (Port of Seattle, King County, Washington State Ferries, Seattle Public Utilities, Seattle City Light, Seattle Department of Transportation, UW) and some private owners.

        The data does not include Private Open Places aka POPs which are Open Places in private buildings for the public use.


        ","Allen Grissom","federated_href",null,"park,parks,spr,seattle gis open data","https://data.seattle.gov/d/cw8r-ytaq","https://data.seattle.gov/resource/cw8r-ytaq.json","02/03/2025 06:37:16 PM","09/01/2025 07:03:48 PM","02/03/2025 06:37:16 PM","false","1","0",null,null,null,null,null,null,null,null,null], [225,"26z3-gbbw","Baseball Softball Fields","Baseball/Softball Fields maintained by Seattle Parks and Recreation.

        This hosted feature layer is published with the following definition query on the DPR.AthleticsFields feature class: WHERE BASEBALL > 0

        Refresh Cycle: Weekly

        Feature Class: DPR.AthleticsFields
        ","Allen Grissom","federated_href",null,"baseball,common data layers,fields,parks,seattle gis open data,softball,sports,spr","https://data.seattle.gov/d/26z3-gbbw","https://data.seattle.gov/resource/26z3-gbbw.json","02/03/2025 06:38:32 PM","09/01/2025 07:03:31 PM","02/03/2025 06:38:32 PM","false","0","0",null,null,null,null,null,null,null,null,null], [226,"r8zp-zn5a","Legal Subdivisions Polygons","
        Contains legal data from CADASTRAL.LEGAL_FDS, LEGAL, CADASTRAL.LEGAL_RW_ADJSTMNT and CADASTRAL.LEGAL_PLAT. Data is symbolized on the value from L_FEA_SYM.  Scale range set to not display at a scale greater than 1:9600.  Labels are based on the attribute L_FEA_SYM and do not display when zoomed out beyond 1:2400.  

        Refreshed weekly.

        ","Allen Grissom","federated_href",null,"planning,property,seattle gis open data,survey","https://data.seattle.gov/d/r8zp-zn5a","https://data.seattle.gov/resource/r8zp-zn5a.json","02/03/2025 06:38:36 PM","07/16/2025 07:04:38 PM","02/03/2025 06:38:36 PM","false","0","0",null,null,null,null,null,null,null,null,null], [227,"v2am-quzm","Cadastral Control Line","The data source is from official City surveys, calculations and other publicly recorded documents.  Displays data from CADASTRAL.CONTROL_LN_PV.  Data does not display when zoomed out beyond 1:38,000.
        Infrequent updates, as needed.
        ","Allen Grissom","federated_href",null,"boundaries,cadastral,centerline,cgdb,control,gis,land,land base,legal,legal subdivisions,monuments,planning,plat,right of way,seattle gis open data,short subdivision,subdivisions,survey,unit lot subdivision","https://data.seattle.gov/d/v2am-quzm","https://data.seattle.gov/resource/v2am-quzm.json","02/03/2025 06:38:23 PM","02/27/2025 07:08:40 PM","02/03/2025 06:38:23 PM","false","0","0",null,null,null,null,null,null,null,null,null], [228,"n8h3-r7is","Current Land Use Zoning Detail","
        Note:  This map is not an official zoning map.  For precise zoning information, please call or visit the Seattle Municipal Tower, Seattle Department of Construction and Inspections

        A polygon feature class showing current City of Seattle land use zoning areas. It provides information on the type of zoning, overlay districts, enacting ordinance numbers and effective dates.

        Zoning Code governs the use and development of land in Seattle. Zoning districts specify a category of uses (e.g., single-family residential, multifamily residential, commercial, industrial, etc.) including specific overlays and are applied by ordinance. 

        Symbolized on the value DETAIL_DESC (group 28 categories).
        ","Allen Grissom","federated_href",null,"gis,land use,planning,sdcizoningmap,seattle gis open data,zoning","https://data.seattle.gov/d/n8h3-r7is","https://data.seattle.gov/resource/n8h3-r7is.json","02/03/2025 06:38:12 PM","07/26/2025 07:04:10 PM","02/03/2025 06:38:12 PM","false","0","0",null,null,null,null,null,null,null,null,null], [229,"m4ga-27kk","Proposed Non-Mainline Points","
        This layer displays all the connected and to be connected non-mainline points within the City of Seattle (and the former service area north of the City limits) regardless of ownership.  The data source is DWW.non_mainline_pt_pv with the following data query, NMNLPT_LIFECYCLE_CODE IN( 'C' , 'UNK' , 'T' ,'TBC', 'U', 'PC') AND NMNLPT_FEATYPE_CODE <> 'WQS'.  The layer is symbolized on the attribute FEATYPE. The labels are based on the attribute FEATYPE.  This layer does not display when zoomed out beyond 1:899.  Maintained by SPU GIS DWW Data Maintenance staff.  
        Refreshed weekly.  
        ","Allen Grissom","federated_href",null,"catch basin,downspouts,inlets,junction point,lateral points,nodes,seattle gis open data,side sewer points,stack plumbing,wyes","https://data.seattle.gov/d/m4ga-27kk","https://data.seattle.gov/resource/m4ga-27kk.json","02/03/2025 06:37:53 PM","09/01/2025 07:03:29 PM","02/03/2025 06:37:53 PM","false","0","0",null,null,null,null,null,null,null,null,null], [230,"a548-mccd","Proposed Trash Racks","This layer displays all the catch basins, catch basin grated tops, sandboxes, junction boxes, inlets and trash racks within the City of Seattle (and the former service area north of the City limits) regardless of ownership.
        A catch basin is a connector to the storm drain system that typically includes an inlet where stormwater enters the catch basin and a sump to capture sediment, debris, and associated pollutants prior to the surface water flowing into a storm or sewer pipe. There are two main types of inlets: side inlets and grated inlets.  Side inlets are located adjacent to the curb and rely on the ability of the opening under the curb to capture flow. Grated inlets have gratings or metal grids to prevent large objects and debris from falling into the combined sewer or drainage system.  They collect surface runoff for conveyance in a pipe system. Sandboxes have wooden lids and are filled with sand or gravel and drain directly into the ground or to a culvert as part of the informal drainage system. Sandboxes are no longer being installed. Junction boxes are cement structure with a grated metal lid, shallow in depth, generally connect culverts and are inline as part of the informal ditch and culvert system.  Trash racks are grated structures that collect debris. Trash racks may be on maintenance holes, catch basins, other structures, or streams.
        Data source is DWW.catch_basin_pt_pv, and DWW.APPURTENANCE_PT_PV. Maintained by SPU GIS DWW Data Maintenance staff. This layer does not display when zoomed out beyond 1:899.

        Refreshed daily.
        ","Allen Grissom","federated_href",null,"appurtenance point,catch basin,catch basin - grated top,cb,cbl,inl,inlet,jb,jbs,junction box,junction box with sump,sandbox,sb,seattle gis open data,trash racks,trr","https://data.seattle.gov/d/a548-mccd","https://data.seattle.gov/resource/a548-mccd.json","02/03/2025 06:38:06 PM","09/01/2025 07:03:44 PM","02/03/2025 06:38:06 PM","false","0","0",null,null,null,null,null,null,null,null,null], [231,"gcaz-mfgj","Restricted Parking Zone Areas","Displays Restricted Parking Zone Areas maintained by the Seattle Department of Transportation. This is a group layer consisting of the following layers:
        • Restricted Parking Zone Signed Blocks (V_RPZ)
        • Residents Eligible for Restricted Parking Zone Permits (V_Blockface, Def Query: Parking_Category <> 'None')
        • Restricted Parking Zone A or B Husky Game Days (RPZ_AreasAorB)
        • Restricted Parking Zones (RPZ_AreasNotAorB)
        Refresh Cycle: Daily
        ","Allen Grissom","federated_href",null,"common data layers,restricted parking zone areas,rpz,sdot,seattle gis open data,transportation","https://data.seattle.gov/d/gcaz-mfgj","https://data.seattle.gov/resource/gcaz-mfgj.json","02/03/2025 06:37:40 PM","09/01/2025 07:03:45 PM","02/03/2025 06:37:40 PM","false","0","0",null,null,null,null,null,null,null,null,null], [232,"vq6j-eby6","Indoor Event Space","Seattle Parks & Recreation Reservable Indoor Event Spaces

        Refresh Cycle: Weekly

        Feature Class: DPR.IndoorEventSpace_PT
        ","Allen Grissom","federated_href",null,"common data layers,indoor event space,parks,seattle gis open data,spr","https://data.seattle.gov/d/vq6j-eby6","https://data.seattle.gov/resource/vq6j-eby6.json","02/03/2025 06:38:28 PM","09/01/2025 07:03:34 PM","02/03/2025 06:38:28 PM","false","0","0",null,null,null,null,null,null,null,null,null], [233,"gpay-yurt","Street Sweeping Routes","SDOT Street Sweeping Routes. Maintained by joined efforts with Seattle Department of Transportation and Seattle Public Utility Water Quality Program.

        Feature Class: ROUTES_STREETSWEEPRO

        Refresh Cycle: Weekly

        Contact: Street Maintenance team
        ","Allen Grissom","federated_href",null,"gis,sdot,seattle gis open data,street sweeping routes","https://data.seattle.gov/d/gpay-yurt","https://data.seattle.gov/resource/gpay-yurt.json","02/03/2025 06:37:32 PM","09/01/2025 07:03:48 PM","02/03/2025 06:37:32 PM","false","0","0",null,null,null,null,null,null,null,null,null], [234,"8hxw-4kw3","Paid Area Curb Spaces","

        Describes the type of space along a blockface.  Location: Downtown Seattle, First Hill, Capitol Hill and South Lake Union  

        Attribute Information: Curbspaces_OD.pdf 

        Feature Class: SDOT.CURB_SPACES

        Update Cycle: Daily 

        ","Allen Grissom","federated_href",null,"018,blockface,block id,curbs,gis,parking,peak hour,rpz,sdot,seattle gis open data,streets,transportation","https://data.seattle.gov/d/8hxw-4kw3","https://data.seattle.gov/resource/8hxw-4kw3.json","02/03/2025 06:37:37 PM","09/01/2025 07:03:50 PM","02/03/2025 06:37:37 PM","false","0","0",null,null,null,null,null,null,null,null,null], [235,"rt6m-fnht","SPU DWW Vaults","
        This layer displays the location of vaults associated with mainlines and is described within the descriptive text column of the feature class.  The graphic is not a footprint of the physical structure.  Data source is DWW.polygon_plgn_pv with the following query, PLY_LIFECYCLE_CODE IN ('C', 'UNK', 'T', 'TBC', 'U', 'PC') and PLY_DWW_ROLE_CODE in ('CONNPT', 'ENDPT') and (PLY_FEATYPE_CODE = 'VLT' or PLY_DWW_FEATYPE_CODE in ('DTS', 'VLT')).  It is symbolized on the attribute DWW_FEATYPE_DESC.  This layer does not display when zoomed out beyond 1:7,000. Labels are based on the attribute DESCRIPTION and do not display when zoomed out beyond 1:2,000. 
        Maintained by SPU GIS DWW Data Maintenance staff.  

        Refreshed weekly.  
        ","Allen Grissom","federated_href",null,"detention tank,dts,seattle gis open data,vault,vlt","https://data.seattle.gov/d/rt6m-fnht","https://data.seattle.gov/resource/rt6m-fnht.json","02/03/2025 06:37:57 PM","08/26/2025 07:01:42 PM","02/03/2025 06:37:57 PM","false","0","0",null,null,null,null,null,null,null,null,null], [236,"ipqa-p9su","Park Boundary (details)","Locations of Seattle Parks and Recreation (SPR) responsibilities within the city limits. SPR location responsibilities may include: ownership, leases, maintenance, temporary transfer of jurisdiction, life estate, crew quarters, headquarters, storage facilities, tidelands, joint use agreements. This is the detailed transactions level park GIS layer. It is the most current Parks GIS layer. Park uses can be sorted using the "Park Use" field. If you just want the Park outlines (boundaries) then use DPR.ParksBND. ","Allen Grissom","federated_href",null,"park,parks,seattle gis open data,spr","https://data.seattle.gov/d/ipqa-p9su","https://data.seattle.gov/resource/ipqa-p9su.json","02/03/2025 06:38:40 PM","09/01/2025 07:03:38 PM","02/03/2025 06:38:40 PM","false","0","0",null,null,null,null,null,null,null,null,null], [237,"swhd-9qre","Swimming Beaches","Locations of life guarded swimming beaches that are managed by Seattle Parks. Does not include all beach locations within the City of Seattle. The life guards are on duty only during the summer.

        Refresh Cycle: Weekly

        Feature Class: DPR.SwimmingBeaches
        ","Allen Grissom","federated_href",null,"common data layers,parks,seattle gis open data,spr,swimming beaches","https://data.seattle.gov/d/swhd-9qre","https://data.seattle.gov/resource/swhd-9qre.json","02/03/2025 06:38:25 PM","09/01/2025 07:03:44 PM","02/03/2025 06:38:25 PM","false","0","0",null,null,null,null,null,null,null,null,null], [238,"wk8g-eqzf","SU Permit Data Model Relationships","An updated Permit Data Model that includes relationships between the component feature classes.  The Dissolved Use Impacts (SDOT.V_SU_PERMIT_USE_IMPACT_DISS) feature class is derived from dissolving the Use Impacts (SDOT.V_SU_PERMIT_USE_IMPACTS) feature class by Permit Number.  The Impacts feature class is the Use Impact street line segments that are associated with any give Permit point (V_SU_PERMITS).  The relationships connect the Permit points to the Dissolved Use Impacts and then the Dissolved Use Impacts to the component Use Impacts.  This data model allows you to see all impacted street line segments associated with any given Permit easily, while also being able to drill down to any specific Use Impact for a given Permit.  

        Service is constructed for use in the Right of Way Map.  

        Data set to Nightly Refresh.  

        Any Questions or Concerns contact the SDOT Street Use Data and GIS Team:  Craig Moore/Bryan Bommersbach
        ","Allen Grissom","federated_href",null,"permit data model,sdot,seattle gis open data,street use","https://data.seattle.gov/d/wk8g-eqzf","https://data.seattle.gov/resource/wk8g-eqzf.json","02/03/2025 06:37:25 PM","09/01/2025 07:03:44 PM","02/03/2025 06:37:25 PM","false","0","0",null,null,null,null,null,null,null,null,null], [239,"j4ay-9bja","Seattle Public Schools Sites 2023-2024","Seattle Public School locations. Includes all levels of schooling for the 2022-2023 school year.","Allen Grissom","federated_href",null,"gis,public school,school,seattle gis open data,seattle public schools,sps","https://data.seattle.gov/d/j4ay-9bja","https://data.seattle.gov/resource/j4ay-9bja.json","02/03/2025 06:38:18 PM","02/27/2025 07:08:59 PM","02/03/2025 06:38:18 PM","false","0","0",null,null,null,null,null,null,null,null,null], [240,"53gu-hz9y","Transportation Usage Data for OSE Climate Portal","

        This\nlayer shows total trips by mode and their corresponding emissions \nacross different neighborhoods in Seattle. The data is mapped to census\ntracts.


        The\n data in this layer has been populated using an output from the \nPuget Sound Regional Council's (PSRC's) regional travel demand model. \nThis model is updated only once every few years and is therefore not \nideal for frequent data updates. The City is working on procuring more \nfrequent measured travel data from alternate sources.




        For more information please visit the One Seattle Climate Portal item description page.


        ","Allen Grissom","federated_href",null,"seattle gis open data,climate,emissions,ose","https://data.seattle.gov/d/53gu-hz9y","https://data.seattle.gov/resource/53gu-hz9y.json","02/03/2025 06:37:25 PM","02/27/2025 07:08:55 PM","02/03/2025 06:37:25 PM","false","0","0",null,null,null,null,null,null,null,null,null], [241,"4t3k-n6p9","Relative % Change","
        This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.

        University of Vermont Spatial Analysis Laboratory

        The dataset covers the following tree canopy categories:
        • Environmental Justice Priority Areas
        • Census tracts composite / quintile
        • Existing tree canopy percentage & environmental justice priority level
        • Existing tree canopy
        • Possible tree canopy
        • Relative percentage change
        For more information, please see the 2021 Tree Canopy Assessment.
        ","Allen Grissom","federated_href",null,"2016,environment,seattle gis open data,land cover,seattle office of sustainability & environment,tree canopy,seattle,block groups,2021,biota","https://data.seattle.gov/d/4t3k-n6p9","https://data.seattle.gov/resource/4t3k-n6p9.json","02/03/2025 06:38:28 PM","02/27/2025 07:09:13 PM","02/03/2025 06:38:28 PM","false","1","0",null,null,null,null,null,null,null,null,null], [242,"63sa-iuj3","topo basin Seattle v2 - Absolute % Change","

        This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to insure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.

        University of Vermont Spatial Analysis Laboratory in collaboration with City of Seattle.

        This dataset consists of City of Seattle Topo Basins areas which cover the following tree canopy categories: 

        • Existing tree canopy percent 
        • Possible tree canopy - vegetation percent 
        • Relative percent change 
        • Absolute percent change

        For more information, please see the 2021 Tree Canopy Assessment.

        ","Allen Grissom","federated_href",null,"land cover,seattle office of sustainability & environment,seattle gis open data,seattle,environment,biota,tree canopy","https://data.seattle.gov/d/63sa-iuj3","https://data.seattle.gov/resource/63sa-iuj3.json","02/03/2025 06:37:18 PM","02/27/2025 07:08:11 PM","02/03/2025 06:37:18 PM","false","0","0",null,null,null,null,null,null,null,null,null], [243,"jsfi-5573","TAP21 bg Seattle - Existing TC %","

        This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.

        University of Vermont Spatial Analysis Laboratory in collaboration with City of Seattle.

        This dataset consists of City of Seattle Block Groups areas which cover the following tree canopy categories: 

        • Existing tree canopy percent 
        • Possible tree canopy - vegetation percent 
        • Relative percent change 
        • Absolute percent change
        For more information, please see the 2021 Tree Canopy Assessment.

        ","Allen Grissom","federated_href",null,"biota,2021,2016,seattle gis open data,seattle office of sustainability & environment,seattle,tree canopy,land cover,environment,block groups","https://data.seattle.gov/d/jsfi-5573","https://data.seattle.gov/resource/jsfi-5573.json","02/03/2025 06:38:42 PM","02/27/2025 07:08:17 PM","02/03/2025 06:38:42 PM","false","381","0",null,null,null,null,null,null,null,null,null], [244,"qiwt-wq5d","Census Tracts Composite Quintile","
        This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.

        University of Vermont Spatial Analysis Laboratory

        The dataset covers the following tree canopy categories:
        • Environmental Justice Priority Areas
        • Census tracts composite / quintile
        • Existing tree canopy percentage & environmental justice priority level
        • Existing tree canopy
        • Possible tree canopy
        • Relative percentage change
        For more information, please see the 2021 Tree Canopy Assessment.
        ","Allen Grissom","federated_href",null,"2016,2021,biota,block groups,environment,land cover,seattle,seattle gis open data,seattle office of sustainability & environment,tree canopy","https://data.seattle.gov/d/qiwt-wq5d","https://data.seattle.gov/resource/qiwt-wq5d.json","02/03/2025 06:38:24 PM","02/27/2025 07:08:45 PM","02/03/2025 06:38:24 PM","false","0","0",null,null,null,null,null,null,null,null,null], [245,"gx7z-mjwx","Surface Drainage Points","Surface drainage points are structures that help direct rainwater in the City’s sub-surface pipe drainage system. The informal drainage system makes up nearly one-third of the City of Seattle footprint. This layer displays connected surface drainage points, regardless of ownership, that cannot be found in other layers.  For example, Catch Basins, Junction Boxes, Sandboxes, and Inlets are not included.  The data source is DWW.surface_drainline_pt_pv with the following data query:  SDP_LIFECYCLE_TEXT IN ( 'Connected' , 'Unknown' , 'Temporary' ,'To Be Connected', 'Under Construction', 'Provisionally Connected', 'Proposed', 'Abandoned', 'Abandoned Temporary', 'Removed') AND SDP_FEA_TYPE_TEXT IN ( 'Area Drain;Area Way;Driveway Drain' ,'Cleanout', 'Flow Control MH' , 'Infall' , 'Maintenance Hole' , 'Overflow MH' , 'Other' , 'Rubber Coupler' , 'Reducer' , 'Surface Cleanout' , 'Sedimentation Chamber;Sand Catcher;Sand Trap' , 'Stand Pipe' ,  'Weephole', 'Catch Basin MH', 'Vault', 'Underground Injection Cell; Drilled Drain')
        This layer does not display when zoomed out beyond 1:2,000.  Labels are based on the attribute SDP_ASSET_ID and only display when zoomed in to 1:1,000 or closer.  Only SPU owned assets will have a label.

        Refreshed weekly.
        ","Allen Grissom","federated_href",null,"driveway drain,catch basin mh,area way,seattle gis open data,overflow mh,outfall,maintenance hole,cleanout,infall,flow control mh,area drain,sedimentations chamber;sand catcher;sand trap,stand pipe,surface cleanout,surface drainage points,underground injection cell; drilled drain,vault,weephole","https://data.seattle.gov/d/gx7z-mjwx","https://data.seattle.gov/resource/gx7z-mjwx.json","02/03/2025 06:37:54 PM","08/26/2025 07:01:50 PM","02/03/2025 06:37:54 PM","false","0","0",null,null,null,null,null,null,null,null,null], [246,"25f5-yi9h","SPU DWW Swales","The DWW (Drainage and Waste Water) GSI (Green Stormwater Infrastructure) layer consists of line and polygon representations of the following features: Swales (biofiltration, bioretention, biofiltration/bioretention, and conveyance) are generally shallow depressions with a designed mix of soil and plants which break down pollutants through natural processes while reducing runoff. Permeable pavement is a paving system which allows rainfall to percolate into an underlying soil or aggregate storage reservoir. Underdrain piping systems are provided to prevent prolonged ponding of stormwater or to collect and convey water to another facility. Rain gardens are less engineered systems that are designed to mitigate water from the sidewalk only and have two inches or less of ponded depth. The drainage structures represented in the GSI points are not all unique to GSI, however, they are specifically part of SPU GSI projects.

        The data is being refreshed weekly.
        ","Allen Grissom","federated_href",null,"swale,green storm infrastructure,gsi,modular soil cell,permeable pavement,polygon,rain garden,seattle gis open data,silva cell,spu,surface drainage,surface drainline,bioretention,biofiltration,green roof,gis,dww,conveyance","https://data.seattle.gov/d/25f5-yi9h","https://data.seattle.gov/resource/25f5-yi9h.json","02/03/2025 06:37:50 PM","08/26/2025 07:01:48 PM","02/03/2025 06:37:50 PM","false","0","0",null,null,null,null,null,null,null,null,null], [247,"nrg5-3uad","DWW Mainline Connection Points Wyes","SPU DWW Mainline Points is a Group Layer containing all Lifecycles, Ownerships, and other variations of Drainage and Wastewater Mainlines Points.

        Proposed Mainline End Points are planned but not yet installed or as-built.

        SPU DWW Aba Rem Mainline End Points refers to Abandoned and Removed Mainline End Points.

        Force Mainline End Points are Mainline End Points under pressure. Detention Lines and Polygons refer to Mainline End Points for Detention Infrastructure.

        DWW Mainline Connection Points Wyes refer to side sewer and lateral connection points on mainlines.

        The data is refreshed weekly and is maintained by the SPU GIS Data Maintenance Team. 
        ","Allen Grissom","federated_href",null,"mainline,sewer,spu,endpoints,dww,seattle gis open data,points,external","https://data.seattle.gov/d/nrg5-3uad","https://data.seattle.gov/resource/nrg5-3uad.json","02/03/2025 06:38:15 PM","08/26/2025 07:02:00 PM","02/03/2025 06:38:15 PM","false","0","0",null,null,null,null,null,null,null,null,null], [248,"5ftj-pmt4","City of Seattle Council Districts (2024) - Redistricting Data 2000-2020","
        PLEASE NOTE, this layer represents the seven districts for which Seattle City Councilmembers will be elected to represent in November 2023, to be sworn in January 2024. These were adopted by Seattle Redistricting Commission in November 2022. 

        City of Seattle Council Districts with selected Census Bureau 2000, 2010 and 2020 P.L. 94-171 redistricting data.

        Click here for a printed report.

        For more information about the P.L. 94-171 redistricting data, please visit the U.S. Census Bureau.  For a detailed description of the data included please see the 2020 Census State Redistricting Data Summary File. 
        ","Allen Grissom","federated_href",null,"census 2020,census 2010,demographics,gis,planning,redistricting,seattle gis open data,council districts,census 2000","https://data.seattle.gov/d/5ftj-pmt4","https://data.seattle.gov/resource/5ftj-pmt4.json","02/03/2025 06:37:26 PM","02/27/2025 07:08:41 PM","02/03/2025 06:37:26 PM","false","0","0",null,null,null,null,null,null,null,null,null], [249,"aje7-tj5c","Reachable Streets","Feature layer generated via the Create Drive Times tool. Inputs include private school point locations & a walking distance of 300 ft. *to* each school access point.","Allen Grissom","federated_href",null,"seattle school access points - private school access points,seattle gis open data,drive times,analysis result","https://data.seattle.gov/d/aje7-tj5c","https://data.seattle.gov/resource/aje7-tj5c.json","02/03/2025 06:38:12 PM","02/27/2025 07:08:13 PM","02/03/2025 06:38:12 PM","false","0","0",null,null,null,null,null,null,null,null,null], [250,"ixnn-sqm3","Contours 1ft 2021 Seattle Shoreline Area","
        1ft contours along the City of Seattle shoreline derived from Lidar captured in 2021. Contour lines display at 1ft, 5ft and 20ft intervals dependent on scale.

        Development Detail:

        This vector tile service includes topographic contour lines representing elevation at 1-foot intervals within the City of Seattle shoreline area.

        The contours were derived from a bare earth - digital elevation model (DEM) with a pixel resolution of 1.5 feet. The lidar data that created the DEM were collected by NV5 Geospatial over the spring and summer months of 2021 and provided to the city by King County in 2022.

        The DEM used to generate the contours was filtered using the Focal Statistics tool in ArcGIS, which served to limit some abrupt changes in cell values. A 3x3 rectangular neighborhood analysis was applied and a mean value was calculated per raster cell.

        After generating the contours from the generalized raster, all lines less than 25 feet in length were omitted from the final output.

        Please note: The 1-foot contours are intended to be used for general reference and cartographic purposes only and should not be used for analysis purposes.
        ","Allen Grissom","federated_href",null,"shoreline,contours,flood,seattle gis open data,topography,1ft","https://data.seattle.gov/d/ixnn-sqm3","https://data.seattle.gov/resource/ixnn-sqm3.json","02/03/2025 06:37:19 PM","02/27/2025 07:08:46 PM","02/03/2025 06:37:19 PM","false","0","0",null,null,null,null,null,null,null,null,null], [251,"fcng-5jfr","SPU DWW Aba Rem Permeable Pavement","The DWW (Drainage and Waste Water) GSI (Green Stormwater Infrastructure) layer consists of line and polygon representations of the following features: Swales (biofiltration, bioretention, biofiltration/bioretention, and conveyance) are generally shallow depressions with a designed mix of soil and plants which break down pollutants through natural processes while reducing runoff. Permeable pavement is a paving system which allows rainfall to percolate into an underlying soil or aggregate storage reservoir. Underdrain piping systems are provided to prevent prolonged ponding of stormwater or to collect and convey water to another facility. Rain gardens are less engineered systems that are designed to mitigate water from the sidewalk only and have two inches or less of ponded depth. The drainage structures represented in the GSI points are not all unique to GSI, however, they are specifically part of SPU GSI projects.

        The data is being refreshed weekly.
        ","Allen Grissom","federated_href",null,"gis,green roof,green storm infrastructure,gsi,modular soil cell,permeable pavement,polygon,rain garden,seattle gis open data,bioretention,silva cell,spu,surface drainage,biofiltration,swale,surface drainline,conveyance,dww","https://data.seattle.gov/d/fcng-5jfr","https://data.seattle.gov/resource/fcng-5jfr.json","02/03/2025 06:37:49 PM","08/26/2025 07:01:44 PM","02/03/2025 06:37:49 PM","false","0","0",null,null,null,null,null,null,null,null,null], [252,"233n-ys5f","Contours 5ft 2021 Tolt River Watershed","
        Tolt River watershed area 5ft contours derived from Lidar captured in 2021. Contour lines display at 5ft, 25ft, 50ft, 100ft, 200ft and 400ft intervals dependent on scale. Lines have been smoothed and generalized for display and performance.

        Development Detail:

        This vector tile service includes topographic contour lines representing elevation at 5-foot intervals within the Tolt River watershed area.

        The contours were derived from a bare earth - digital elevation model (DEM) with a pixel resolution of 1.5 feet. The lidar data that created the DEM were collected by NV5 Geospatial over the spring and summer months of 2021 and provided to the city by King County in 2022.

        The DEM used to generate the contours was filtered using the Focal Statistics tool in ArcGIS, which served to limit some abrupt changes in cell values. A 3x3 rectangular neighborhood analysis was applied and a mean value was calculated per raster cell.

        After running the Focal Statistics tool, 5-foot contours were generated from the filtered DEM. To reduce file size and improve performance, the contours were generalized further using the Smooth Line tool in ArcGIS. A smoothing algorithm type of Polynomial Approximation with Exponential Kernel (PAEK) and a smoothing tolerance of 20 feet was selected in the Smooth Line tool parameter options.

        Finally, after executing both generalization tools (Focal Statistics and Smooth Line), all lines less than 25 feet in length were omitted from the final output.

        Please note: The 5-foot contours are intended to be used for general reference and cartographic purposes only and should not be used for analysis purposes.
        ","Allen Grissom","federated_href",null,"seattle gis open data,contours,tolt river,topography,watershed,5ft","https://data.seattle.gov/d/233n-ys5f","https://data.seattle.gov/resource/233n-ys5f.json","02/03/2025 06:37:20 PM","02/27/2025 07:08:57 PM","02/03/2025 06:37:20 PM","false","0","0",null,null,null,null,null,null,null,null,null], [253,"fjds-k8sb","Public Schools - Environmental Justice Priority","

        This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.

        University of Vermont Spatial Analysis Laboratory

        This dataset consists of City of Seattle Public Schools areas which cover the following tree canopy categories:

        • Existing tree canopy percent
        • Possible tree canopy - vegetation percent
        • Relative percent change
        • Absolute percent change
        For more information, please see the 2021 Tree Canopy Assessment.
        ","Allen Grissom","federated_href",null,"seattle gis open data,seattle,environment,public schools,land cover,sustainability,tree canopy,flora,2016,2021,biota","https://data.seattle.gov/d/fjds-k8sb","https://data.seattle.gov/resource/fjds-k8sb.json","02/03/2025 06:37:17 PM","02/27/2025 07:08:12 PM","02/03/2025 06:37:17 PM","false","0","0",null,null,null,null,null,null,null,null,null], [254,"bfyg-s95j","2010 Census Block Seattle - Housing Statistics","Data from:  2010 Decennial Census

        Decennial housing data for Census Blocks in the City of Seattle.
        ","Allen Grissom","federated_href",null,"housing,seattle gis open data,demographics,gis,planning,blocks,census,dc2010","https://data.seattle.gov/d/bfyg-s95j","https://data.seattle.gov/resource/bfyg-s95j.json","02/03/2025 06:37:23 PM","02/27/2025 07:08:37 PM","02/03/2025 06:37:23 PM","false","0","0",null,null,null,null,null,null,null,null,null], [255,"v49e-f43g","Piped Creek Watersheds","

        Creek watersheds which are piped to outfall. This is an expansion of the creek watershed to include the portions collected by the PSD network which were not originally included in the basin, but now discharge to the piped creek. Displays data from DWW.Piped_CrkWtrshd, will not display when zoomed out beyond 1:200,000. Labels are based on the attribute PCWS_NAME and do not display when zoomed out beyond 1:50,000.

        ","Allen Grissom","federated_href",null,"creek watersheds,dww,seattle gis open data,spu","https://data.seattle.gov/d/v49e-f43g","https://data.seattle.gov/resource/v49e-f43g.json","02/03/2025 06:37:46 PM","08/02/2025 07:03:12 PM","02/03/2025 06:37:46 PM","false","0","0",null,null,null,null,null,null,null,null,null], [256,"327v-mikm","SPU CIP Workorders","For use in SPU CIP App, as well as DotMaps.

        Data refreshed daily.
        ","Allen Grissom","federated_href",null,"cdl,capital improvement projects,cip,projects,seattle gis open data,spu,utility","https://data.seattle.gov/d/327v-mikm","https://data.seattle.gov/resource/327v-mikm.json","02/03/2025 06:38:00 PM","08/29/2025 07:04:48 PM","02/03/2025 06:38:00 PM","false","0","0",null,null,null,null,null,null,null,null,null], [257,"b7dx-wq67","2020 Census Block Groups Top 50 American Community Survey Data with Seattle Neighborhoods","U.S. Census Bureau 2020 block groups within the City of Seattle with American Community Survey (ACS) 5-year series data of frequently requested topics. Data is pulled from block group tables for the most recent ACS vintage. Seattle neighborhood geography of Council Districts, Comprehensive Plan Growth Areas are also included based on block group assignment.

        The census block groups have been assigned to a neighborhood based on the distribution of the total population from the 2020 decennial census for the component census blocks. If the majority of the population in the block group were inside the boundaries of the neighborhood, the block group was assigned wholly to that neighborhood.

        Feature layer created for and used in the Neighborhood Profiles application.

        The attribute data associated with this map is updated annually to contain the most currently released American Community Survey (ACS) 5-year data and contains estimates and margins of error. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. 

        Vintages: 2023
        ACS Table(s): Select fields from the tables listed here.
        Data downloaded from: Census Bureau's Explore Census Data 


        Refresh Cycle: None, Static. Manually as required.
        • Original Publish: 5/23/2024
        • Update Publish: 7/11/2024 per Policy and Planning team
        Contact: Policy and Planning team

        ","Allen Grissom","federated_href",null,"stp,gis,pedestrian,pedestrian element,policy and planning,sdot,seattle gis open data,seattle transportation plan","https://data.seattle.gov/d/r8h8-h2vu","https://data.seattle.gov/resource/r8h8-h2vu.json","02/03/2025 06:37:58 PM","02/27/2025 07:08:23 PM","02/03/2025 06:37:58 PM","false","0","0",null,null,null,null,null,null,null,null,null], [259,"nxn5-xp4j","Disability and Health Insurance - Seattle Neighborhoods","Table from the American Community Survey (ACS) 5-year series on disabilities and health insurance related topics for City of Seattle Council Districts, Comprehensive Plan Growth Areas and Community Reporting Areas. Table includes C21007 Age by Veteran Status by Poverty Status in the Past 12 Months by Disability Status, B27010 Types of Health Insurance Coverage by Age, B22010 Receipt of Food Stamps/SNAP by Disability Status for Households. Data is pulled from block group tables for the most recent ACS vintage and summarized to the neighborhoods based on block group assignment.

        Table created for and used in the Neighborhood Profiles application.

        Vintages: 2023
        ACS Table(s): C21007, B27010, B22010
        Data downloaded from: Census Bureau's Explore Census Data 


        The United States Census Bureau's American Community Survey (ACS):
        This ready-to-use layer can be used within Arc","Allen Grissom","federated_href",null,"seattle gis open data,census block groups,disability,acs,acs-bg,american community survey,demographics,planning,census,health insurance,gis","https://data.seattle.gov/d/nxn5-xp4j","https://data.seattle.gov/resource/nxn5-xp4j.json","10/22/2024 09:12:45 PM","01/31/2025 07:27:43 PM","10/22/2024 09:12:45 PM","false","0","0",null,null,null,null,null,null,null,null,null], [260,"r8uz-ya7k","SPU DWW CSO Basins","This layer indicates which areas contribute sanitary and storm water flow to a CSO overflow point. Areas are broken down by NPDES Outfall Number.  The data source is DWW.cso_basin_plgn_pv. The layer continues to be updated as new information about the CSO system becomes available and as modifications to the system are completed. The boundaries in this layer were created and updated for purposes of developing a hydrologic and hydraulic computer model. The model was used to estimate CSO control volumes and develop CSO control alternatives. Estimation of control volume and alternative analysis did not require a parcel level of detail, so it is expected that the boundary is not always correct at the parcel level. In addition, the CSO basin boundary shapefile reflects both the sewer basin AND the drainage basin tributary to the overflow point, and these two basins do not always line up cleanly. This layer reflects the best compromise between the two boundaries.
        Updates as needed.
        ","Allen Grissom","federated_href",null,"seattle gis open data,combined sewer overflow,cso basin,cso basins,dww cso basins","https://data.seattle.gov/d/r8uz-ya7k","https://data.seattle.gov/resource/r8uz-ya7k.json","02/03/2025 06:37:54 PM","02/27/2025 07:07:56 PM","02/03/2025 06:37:54 PM","false","0","0",null,null,null,null,null,null,null,null,null], [261,"vjbv-2pkp","Seattle Transportation Plan Bicycle Element","
        The Bicycle and E-Mobility Element of the STP will help create a safer, more bikeable Seattle. It provides a foundation for the City of Seattle to grow our investment in bicycling and e-mobility to achieve STP goals. The STP and the Bicycle and E-Mobility Element build on and supersede the 2014 Bicycle Master Plan (BMP). The bicycle and e-mobility network serves not only people riding traditional bicycles, but also people using adaptive bikes, cargo bicycles for both personal use and deliveries, trikes, scooters, skateboards, roller skates, wheelchairs or other wheeled mobility devices, and “e-mobility” devices, which refers to personal and shared electric-powered bicycles, scooters, and other electric-powered devices. It serves people bicycling and taking e-mobility to serve a variety of trip purposes, such as getting to work, school, transit, the gym or doctor's office, recreating, making urban goods deliveries, and more.

        The Bike+ network consists of bikeways suitable for people of all ages and abilities (AAA), including protected bike lanes, Neighborhood Greenways, Healthy Streets, and bike lanes where vehicle speeds and volumes are sufficiently low.  

        The Bike+ network is envisioned to seamlessly integrate with the multi-use trail network, which provides connections through or on the edges of parks and opens spaces, where an off-street connection is preferred, or is more feasible than an on-street connection.  

        Diagram of an umbrella titled "What is Bike+?" Underneath the umbrella, the following are bulleted - protected bike lane, bike lane (if vehicle speed and volumes low. See Table 4), neighborhood greenway, and healthy street.  Many planned projects from the 2014 BMP have been implemented and are shown on the existing bicycle and e-mobility network map. The Bike+ network shows existing and proposed AAA bikeways on Seattle’s arterial and non-arterial (i.e., neighborhood streets) networks.

        Refresh Cycle: None, Static. Manually as required.
        • Original Publish: 5/23/2024
        • Update Publish: 7/11/2024 per Policy and Planning team
        Contact: Policy and Planning team
        ","Allen Grissom","federated_href",null,"aaa network,stp,seattle transportation plan,bicycle,bicycle element,bike+,e-mobility,seattle gis open data,sdot,gis","https://data.seattle.gov/d/vjbv-2pkp","https://data.seattle.gov/resource/vjbv-2pkp.json","02/03/2025 06:37:55 PM","02/27/2025 07:08:16 PM","02/03/2025 06:37:55 PM","false","0","0",null,null,null,null,null,null,null,null,null], [262,"6dya-3qec","Substandard Sidewalks","
        The Pedestrian Element of the Seattle Transportation Plan (STP) is a blueprint to create a more walkable Seattle and provides a suite of pedestrian improvements across the City. The intent is to focus resources on access to public schools, parks, and light rail, streetcar, and frequent transit networks12, in areas where walking conditions are difficult, and where people most need to be able to walk.  It highlights the needs of people walking and rolling and guides future investments to achieve STP goals.

        The process is based on an analysis of factors related to the STP’s goals of safety, equity, sustainability, mobility & economic vitality, livability, and maintenance & modernization. This data-driven prioritization framework helps the city provide targeted improvements that reflect community priorities, City policy objectives, and current data.  

        Throughout the life of the STP, there will be opportunities to evaluate what has been implemented and what can be prioritized in future funding cycles, within the context of the STP's goals, funding availability and project readiness, and other emergent needs. Decisions made as we craft regular STP Implementation Plans will determine the pace of STP Pedestrian Priority Investment Network implementation.  

        Refresh Cycle: None, Static. Manually as required.
        • Original Publish: 5/23/2024
        • Update Publish: 7/11/2024 per Policy and Planning team
        Contact: Policy and Planning team

        ","Allen Grissom","federated_href",null,"sdot,gis,pedestrian,pedestrian element,stp,seattle transportation plan,seattle gis open data,policy and planning","https://data.seattle.gov/d/6dya-3qec","https://data.seattle.gov/resource/6dya-3qec.json","02/03/2025 06:37:58 PM","02/27/2025 07:08:12 PM","02/03/2025 06:37:58 PM","false","0","0",null,null,null,null,null,null,null,null,null], [263,"sdma-vj47","Seattle Tree Canopy 2021","

        This layer is a high-resolution Tree Canopy layer for Seattle, Washington. Tree canopy was mapped by using remotely sensed data from 2021. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.

        University of Vermont Spatial Analysis Laboratory

        For more information, please see the 2021 Tree Canopy Assessment.

        ","Allen Grissom","federated_href",null,"land cover,environment,seattle,seattle gis open data,seattle office of sustainability & environment,tree canopy,biota","https://data.seattle.gov/d/sdma-vj47","https://data.seattle.gov/resource/sdma-vj47.json","02/03/2025 06:38:23 PM","02/27/2025 07:08:59 PM","02/03/2025 06:38:23 PM","false","0","0",null,null,null,null,null,null,null,null,null], [264,"wzdx-rkuv","Urban Centers Villages and Manufacturing Industrial Centers","

        Growth data for housing units and employment for the growth areas, urban centers and villages, for the City of Seattle Comprehensive Plan.

        Housing unit growth is reported quarterly from the city's permitting system while employment change is reported annually from the State of Washington QCEW data.

        ","Allen Grissom","federated_href",null,"sdcizoningmap,seattle gis open data,ucuvmonitordashb,urban centers and villages,housing units,gis,employment,flumapp,planning,aduapp,comprehensive plan,jobs,monitoring,permitexploreapp,qrdashb","https://data.seattle.gov/d/wzdx-rkuv","https://data.seattle.gov/resource/wzdx-rkuv.json","02/03/2025 06:37:30 PM","07/02/2025 07:02:58 PM","02/03/2025 06:37:30 PM","false","0","0",null,null,null,null,null,null,null,null,null], [265,"yhx2-78xm","Private Schools","

        These points represent private schools as approved through the Washington State Board of Education. For more information please visit the SBE website. 

        Displays data from CARTO.PRIV_SCH.  Labels based on the attribute NAME.  Data is downloaded from website as an .xlsx, then queried for City = Seattle, then geocoded.

        Updated as needed, last update August 2025.

        ","Allen Grissom","federated_href",null,"education,gis,school,seattle gis open data","https://data.seattle.gov/d/yhx2-78xm","https://data.seattle.gov/resource/yhx2-78xm.json","02/03/2025 06:38:10 PM","08/14/2025 07:05:40 PM","02/03/2025 06:38:10 PM","false","1","0",null,null,null,null,null,null,null,null,null], [266,"x5s4-2aie","Racial and Social Equity Composite Index Current","
        !!PLEASE NOTE!! When downloading the data, please select "File Geodatabase" to preserve long field names. Shapefile will truncate field names to 10 characters.

        Version: Current

        The Racial and Social Equity Index combines information on race, ethnicity, and related demographics with data on socioeconomic and health disadvantages to identify where priority populations make up relatively large proportions of neighborhood residents. 


        See the layer in action in the Racial and Social Equity Viewer

        Click here for an 11x17 printable pdf version of the map.

        The Composite Index includes sub-indices of:   

        Race, English Language Learners, and Origins Index 
        ranks census tracts by an index of three measures weighted as follows:
        •  Persons of color (weight: 1.0)
        •  English language learner (weight: 0.5)
        •  Foreign born (weight: 0.5)
        Socioeconomic Disadvantage Index 
        ranks census tracts by an index of two equally weighted measures:
        • Income below 200% of poverty level 
        • Educational attainment less than a bachelor’s degree
        Health Disadvantage Index 
        ranks census tracts by an index of seven equally weighted measures:
        • No leisure-time physical activity
        • Diagnosed diabetes 
        • Obesity
        • Mental health not good 
        • Asthma
        • Low life expectancy at birth
        • Disability
        The index does not reflect population densities, nor does it show variation within census tracts which can be important considerations at a local level.
        This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.

        University of Vermont Spatial Analysis Laboratory in collaboration with City of Seattle.

        This dataset consists of City of Seattle SDOT Urban Forestry Management Units which cover the following tree canopy categories: 

        • Existing tree canopy percent 
        • Possible tree canopy - vegetation percent 
        • Relative percent change 
        • Absolute percent change

        For more information, please see the 2021 Tree Canopy Assessment.

        ","Allen Grissom","federated_href",null,"seattle,seattle office of sustainability & environment,land cover,environment,2021,2016,biota,tree canopy,seattle gis open data","https://data.seattle.gov/d/suis-c4xx","https://data.seattle.gov/resource/suis-c4xx.json","02/03/2025 06:38:41 PM","02/27/2025 07:08:44 PM","02/03/2025 06:38:41 PM","false","0","0",null,null,null,null,null,null,null,null,null], [268,"nxyu-7s4c","A Community Reporting Area (2010) Profile ACS 5-year 2006-2010","Data from:  American Community Survey, 5-year Series 2006-2010

        Community Reporting Area boundaries with American Community Survey data and attachments of census reports.  Community Reporting Areas (CRAs) were established in 2004 as a standard, consistent, citywide geography for reporting purposes. There are 53 CRAs composed of from one to six census tracts.

        Neighborhood aggregations of American Community Survey tract-based data derived from the U.S. Census Bureau's demographic profiles (DP02-DP05).  The geo service includes over 50 attributes of the most frequently requested data.

        Also includes custom reports in pdf format as attachments to each neighborhood.

        Please see the item page for the source map service for more information.

        When downloading the data, please select "GDB Download" under "Additional Resources" to preserve long field names and attachments.  The associated file geodatabase contains a separate feature class for three levels of neighborhood geography - council districts, community reporting areas, and urban village demographic areas that includes these 50+ attributes.
        ","Allen Grissom","federated_href",null,"census,acs5y10,acs,demographics,cra,neighborhoods,planning,seattle gis open data,tracts,gis,community reporting areas","https://data.seattle.gov/d/nxyu-7s4c","https://data.seattle.gov/resource/nxyu-7s4c.json","02/03/2025 06:37:23 PM","02/27/2025 07:09:03 PM","02/03/2025 06:37:23 PM","false","0","0",null,null,null,null,null,null,null,null,null], [269,"8hiz-5n37","Seattle Tree Canopy 2016 2021 Council Districts","

        This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.

        University of Vermont Spatial Analysis Laboratory

        This dataset consists of City of Seattle Council District areas as they existed in the first comparison year (2016) which cover the following tree canopy categories:

        • Existing tree canopy percent
        • Possible tree canopy - vegetation percent
        • Relative percent change
        • Absolute percent change

        For more information, please see the 2021 Tree Canopy Assessment.

        ","Allen Grissom","federated_href",null,"land cover,sustainability,tree canopy,flora,environment,council districts,biota,2021,2016,seattle office of sustainability & environment,seattle gis open data,seattle","https://data.seattle.gov/d/8hiz-5n37","https://data.seattle.gov/resource/8hiz-5n37.json","02/03/2025 06:38:40 PM","02/27/2025 07:08:53 PM","02/03/2025 06:38:40 PM","false","0","0",null,null,null,null,null,null,null,null,null], [270,"vuww-ynb6","Education - Seattle Neighborhoods","Table from the American Community Survey (ACS) 5-year series on education enrollment and attainment related topics for City of Seattle Council Districts, Comprehensive Plan Growth Areas and Community Reporting Areas. Table includes B14007/B14002 School Enrollment, B15003 Educational Attainment. Data is pulled from block group tables for the most recent ACS vintage and summarized to the neighborhoods based on block group assignment.

        Table created for and used in the Neighborhood Profiles application.

        Vintages: 2023
        ACS Table(s): B14007, B15003, B14002
        Data downloaded from: Census Bureau's Explore Census Data 


        The United States Census Bureau's American Community Survey (ACS):
        This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census and ACS when using this data.

        Data Note from the Census:
        For use in SPU CIP App, as well as DotMaps.

        Data refreshed daily.
        ","Allen Grissom","federated_href",null,"capital improvement projects,cdl,cip,projects,seattle gis open data,spu,utility","https://data.seattle.gov/d/ktbb-8i44","https://data.seattle.gov/resource/ktbb-8i44.json","02/03/2025 06:38:00 PM","02/27/2025 07:08:23 PM","02/03/2025 06:38:00 PM","false","1","0",null,null,null,null,null,null,null,null,null], [272,"2n4m-75ec","Small Craft Programs","Locations of small craft boating programs provided by Seattle Parks and Recreation. Small craft boating programs are mainly rowing and sailing programs for both youth and adults.

        Refresh Cycle: Weekly

        Feature Class: DPR.SmallCraftPrograms
        ","Allen Grissom","federated_href",null,"common data layers,parks,spr,seattle gis open data,small craft programs","https://data.seattle.gov/d/2n4m-75ec","https://data.seattle.gov/resource/2n4m-75ec.json","02/03/2025 06:38:26 PM","09/01/2025 07:03:37 PM","02/03/2025 06:38:26 PM","false","1","0",null,null,null,null,null,null,null,null,null], [273,"rbna-bnhk","Areaways","
        Areaways are spaces that exist under sidewalks and between the street and the adjacent building. Although there are a variety of reasons why areaways exist around Seattle, the most common case is the reconstruction and raising of street grades in the Pioneer Square area following the Great Seattle Fire of 1889. The city built street walls and filled the street area from the 1890s through the 1940s. 

        Displays areaways maintained by the Seattle Department of Transportation.

        View Layer: Link, which adds the recommended filter for general use of the dataset: 'CURRENT_STATUS NOT LIKE 'REMOVED'

        Refresh Cycle: Daily

        Feature Class: SDOT.V_AREAWAY
        ","Allen Grissom","federated_href",null,"areaways,common data layers,sdot,seattle gis open data,transportation","https://data.seattle.gov/d/rbna-bnhk","https://data.seattle.gov/resource/rbna-bnhk.json","02/03/2025 06:37:43 PM","09/01/2025 07:03:41 PM","02/03/2025 06:37:43 PM","false","1","0",null,null,null,null,null,null,null,null,null], [274,"qdnv-25h8","SDOT Collisions All Years","SDOT Collisions All Years is provided by SPD and recorded by Traffic Records. This feature includes all types of collisions and will display at the intersection or mid-block of a segment.

        Refresh Cycle: Daily Refresh

        Feature Class: SDOT.COLLSN_DET_PT

        Definition Query: None


        ","Allen Grissom","federated_href",null,"accidents,bicycle,collisions,collisions all years,pedestrian,sdot,seattle gis open data,traffic,vehicle","https://data.seattle.gov/d/qdnv-25h8","https://data.seattle.gov/resource/qdnv-25h8.json","02/03/2025 06:37:42 PM","09/01/2025 07:03:44 PM","02/03/2025 06:37:42 PM","false","1","0",null,null,null,null,null,null,null,null,null], [275,"in4p-2uer","Street Furnishings","Street furnishings installed and maintained by the Seattle Department of Transportation within the public right of way.  Street Furnishings include rails, benches, chairs, tables, and walls in the right-of-way and typically come from capital projects and private developments. 

        Displays street furnishings maintained by the Seattle Department of Transportation.

        Views: Link, adds recommended definition query for general use: 'CURRENT_STATUS = INSVC OR CURRENT_STATUS is empty string'

        Refresh Cycle: Daily

        Feature Class: SDOT.V_STREETFURN
        ","Allen Grissom","federated_href",null,"common data layers,sdot,seattle gis open data,street furnishing,transportation","https://data.seattle.gov/d/in4p-2uer","https://data.seattle.gov/resource/in4p-2uer.json","02/03/2025 06:37:36 PM","09/01/2025 07:03:37 PM","02/03/2025 06:37:36 PM","false","0","0",null,null,null,null,null,null,null,null,null], [276,"42gj-qncv","Seattle City Council District 2013","
        These boundaries reflect those used from 2013 - 2022.  New boundaries were drawn in 2022 and will be used in 2023 elections. 
        Symbolizes data from the featureclass CITYPLAN.CITYPLAN.council_districts_shc_2013 based on the the attribute "C_DISTRICT". Labels are based on the attribute Display Name.

        Be aware these are not the most current council district boundaries, to access the current data set, please use: Seattle City Council Districts 
        ","Allen Grissom","federated_href",null,"council district,election,gis,seattle gis open data,voting","https://data.seattle.gov/d/42gj-qncv","https://data.seattle.gov/resource/42gj-qncv.json","02/03/2025 06:37:19 PM","02/27/2025 07:08:06 PM","02/03/2025 06:37:19 PM","false","0","0",null,null,null,null,null,null,null,null,null], [277,"y2js-jec9","VerticalElements","View of Channelization data represents roadway paint lines, curbs, and other markings that delineate traffic lanes, bike routes, bus zones, etc. which are critical for public safety.

        Common Data Layer: Common data layer created from a read only view from this feature layer. It is owned by SDOT Transportation account and will be made available in Open Data.

        Refresh Cycle: None, Dynamic via AutoCAD updates

        Channelization data consists of the following layers:
        1. Vertical Elements
        2. Lane Widths
        3. Panel Markings
        4. Longitudinal Markings
        5. Transverse Markings
        6. Legend and Symbols
        7. General Background
        ","Allen Grissom","federated_href",null,"channelization,sdot,seattle gis open data","https://data.seattle.gov/d/y2js-jec9","https://data.seattle.gov/resource/y2js-jec9.json","02/03/2025 06:37:21 PM","08/29/2025 07:04:52 PM","02/03/2025 06:37:21 PM","false","0","0",null,null,null,null,null,null,null,null,null], [278,"sppq-j5q5","Blockface","
        Displays blockfaces for all segments of the street network. Identifies the elements of the block, such as peak hour restrictions, length of the block, parking categories, and restricted parking zones.  

        Update Cycle: Nightly

        Feature Class: V_BLOCKFACE
        ","Allen Grissom","federated_href",null,"block,blockface,id,parking,rpz,sdot,seattle,seattle gis open data,streets,transportation","https://data.seattle.gov/d/sppq-j5q5","https://data.seattle.gov/resource/sppq-j5q5.json","02/03/2025 06:37:42 PM","09/01/2025 07:03:32 PM","02/03/2025 06:37:42 PM","false","0","0",null,null,null,null,null,null,null,null,null], [279,"4ad7-5wd2","Misc Structure Polygons","

        This layer displays the footprint of\nvarious structures associated with mainline and is described within the\ndescriptive text column of the feature class.  It does not include pump\nstations, vaults, or detention systems.  Data source is DWW. polygon_plgn_pv\nand uses the following query, (PLY_LIFECYCLE_CODE\nIN ('C', 'UNK', 'T', 'TBC', 'U', 'PC') And PLY_DWW_ROLE_CODE IN ('MNL',\n'CONNPT', 'ENDPT', 'NONMAIN', 'SURFDRN') And PLY_DWW_FEATYPE_CODE NOT IN\n('PST', 'VLT', 'WQS', 'DTS', 'DTC', 'DTL', 'PIT') And PLY_FEATYPE_CODE NOT IN\n('PND', 'LIN')) Or (PLY_FEATYPE_CODE = 'MSC' And PLY_DESC_TEXT NOT LIKE '%Green\nRoof%' And PLY_DESC_TEXT NOT LIKE '%Modular%' And PLY_LIFECYCLE_CODE IN ('C',\n'UNK', 'T', 'TBC', 'U', 'PC')). This layer does not\ndisplay when zoomed out beyond 1:7,000.  Labels are based on the attribute\nDESCRIPTION.

        \n\n

        Refreshed daily.

        ","Allen Grissom","federated_href",null,"detention systems,misc structure,pump station,seattle gis open data,vault","https://data.seattle.gov/d/4ad7-5wd2","https://data.seattle.gov/resource/4ad7-5wd2.json","02/03/2025 06:37:59 PM","09/01/2025 07:03:39 PM","02/03/2025 06:37:59 PM","false","0","0",null,null,null,null,null,null,null,null,null], [280,"jdbd-3if2","SDOT Channelization view","View of Channelization data represents roadway paint lines, curbs, and other markings that delineate traffic lanes, bike routes, bus zones, etc. which are critical for public safety.

        Common Data Layer: Common data layer created from a read only view from this feature layer. It is owned by SDOT Transportation account and will be made available in Open Data.

        Refresh Cycle: None, Dynamic via AutoCAD updates

        Channelization data consists of the following layers:
        1. Vertical Elements
        2. Lane Widths
        3. Panel Markings
        4. Longitudinal Markings
        5. Transverse Markings
        6. Legend and Symbols
        7. General Background
        ","Allen Grissom","federated_href",null,"channelization,sdot,seattle gis open data","https://data.seattle.gov/d/jdbd-3if2","https://data.seattle.gov/resource/jdbd-3if2.json","02/03/2025 06:37:21 PM","05/07/2025 07:03:59 PM","02/03/2025 06:37:21 PM","false","0","0",null,null,null,null,null,null,null,null,null], [281,"uw6j-jbvq","Basketball Court Points","Basketball Courts maintained by Seattle Parks and Recreation.

        Refresh Cycle: Weekly

        Feature Class: DPR.BasketballCourts
        ","Allen Grissom","federated_href",null,"basketball courts,common data layers,courts,parks,seattle gis open data,sports,spr","https://data.seattle.gov/d/uw6j-jbvq","https://data.seattle.gov/resource/uw6j-jbvq.json","02/03/2025 06:38:32 PM","09/01/2025 07:03:43 PM","02/03/2025 06:38:32 PM","false","0","0",null,null,null,null,null,null,null,null,null], [282,"bf5t-awzd","SPU DWW Proposed GSI Facility Footprints","The DWW (Drainage and Waste Water) GSI (Green Stormwater Infrastructure) layer consists of line and polygon representations of the following features: Swales (biofiltration, bioretention, biofiltration/bioretention, and conveyance) are generally shallow depressions with a designed mix of soil and plants which break down pollutants through natural processes while reducing runoff. Permeable pavement is a paving system which allows rainfall to percolate into an underlying soil or aggregate storage reservoir. Underdrain piping systems are provided to prevent prolonged ponding of stormwater or to collect and convey water to another facility. Rain gardens are less engineered systems that are designed to mitigate water from the sidewalk only and have two inches or less of ponded depth. The drainage structures represented in the GSI points are not all unique to GSI, however, they are specifically part of SPU GSI projects.

        The data is being refreshed weekly.
        ","Allen Grissom","federated_href",null,"biofiltration,bioretention,conveyance,dww,gis,green roof,green storm infrastructure,gsi,modular soil cell,permeable pavement,polygon,rain garden,seattle gis open data,silva cell,spu,surface drainage,surface drainline,swale","https://data.seattle.gov/d/bf5t-awzd","https://data.seattle.gov/resource/bf5t-awzd.json","02/03/2025 06:37:48 PM","09/01/2025 07:03:57 PM","02/03/2025 06:37:48 PM","false","0","0",null,null,null,null,null,null,null,null,null], [283,"fwct-syh6","Park Signs","Location of DPR maintained sign.Sign Sub-Types:(CODE / DESCRIPTION)70 / Rainbow Sign71 / Kiosk72 / Interpretive Sign73 / other

        Refresh Cycle: Weekly

        Feature Class: DPR.EAM_Sign_PT
        ","Allen Grissom","federated_href",null,"common data layers,parks,park signs,seattle gis open data,spr","https://data.seattle.gov/d/fwct-syh6","https://data.seattle.gov/resource/fwct-syh6.json","02/03/2025 06:38:27 PM","09/01/2025 07:03:54 PM","02/03/2025 06:38:27 PM","false","0","0",null,null,null,null,null,null,null,null,null], [284,"6fvi-8h52","Picnic Tables","Developed by Seattle Parks & Recreation (DPR) to quantify and categorize areas of DPR maintenance for analysis and planning purposes. Some areas of maintenance extend beyond the boundaries of DPR property.

        Refresh Cycle: Weekly

        Feature Class: DPR.EAM_Picnic_Table_PT
        ","Allen Grissom","federated_href",null,"common data layers,parks,picnic tables,seattle gis open data,spr","https://data.seattle.gov/d/6fvi-8h52","https://data.seattle.gov/resource/6fvi-8h52.json","02/03/2025 06:38:27 PM","09/01/2025 07:03:41 PM","02/03/2025 06:38:27 PM","false","0","0",null,null,null,null,null,null,null,null,null], [285,"ab3b-g9jk","Speed Humps","Speed humps which are in street paved mounds used in low volume arterial streets and on non-arterial streets that have been designated as emergency fire routes. The purpose of these assets is to slow down cars, which improves safety and encourages the use of other modes of transportation. Spacing is designed to allow wider-axle emergency vehicles to pass through without slowing down.

        Displays speed humps maintained by the Seattle Department of Transportation.

        Views: Link, adds recommended definition query for general use: 'CURRENT_STATUS =INSVC'

        Refresh Cycle: Daily

        Feature Class: SDOT.V_SpeedHump
        ","Allen Grissom","federated_href",null,"common data layers,sdot,seattle gis open data,speed humps,transportation","https://data.seattle.gov/d/ab3b-g9jk","https://data.seattle.gov/resource/ab3b-g9jk.json","02/03/2025 06:37:36 PM","09/01/2025 07:03:42 PM","02/03/2025 06:37:36 PM","false","0","0",null,null,null,null,null,null,null,null,null], [286,"8dm4-h8qb","Speed Cushions","Speed Cushions are a set of small speed humps with space in between used in low volume arterial streets and on non-arterial streets that have been designated as an emergency fire route. The purpose of these assets is to slow down cars, which improves safety and encourages the use of other modes of transportation. Spacing is designed to allow wider-axle emergency vehicles to pass through without slowing down.

        Displays speed cushions maintained by the Seattle Department of Transportation.

        Views: Link, adds recommended definition query for general use: 'CURRENT_STATUS =INSVC'

        Refresh Cycle: Daily

        Feature Class: SDOT.V_SpeedCushion
        ","Allen Grissom","federated_href",null,"common data layers,sdot,seattle gis open data,speed cushions,transportation","https://data.seattle.gov/d/8dm4-h8qb","https://data.seattle.gov/resource/8dm4-h8qb.json","02/03/2025 06:37:36 PM","09/01/2025 07:03:55 PM","02/03/2025 06:37:36 PM","false","0","0",null,null,null,null,null,null,null,null,null], [287,"98ke-3kwg","Concessions","Park Concessionaire information.

        Refresh Cycle: Weekly

        Feature Class: DPR.Concession
        ","Allen Grissom","federated_href",null,"common data layers,concessions,parks,seattle gis open data,spr","https://data.seattle.gov/d/98ke-3kwg","https://data.seattle.gov/resource/98ke-3kwg.json","02/03/2025 06:38:30 PM","09/01/2025 07:03:33 PM","02/03/2025 06:38:30 PM","false","0","0",null,null,null,null,null,null,null,null,null], [288,"y6ch-r2te","SDOT Bike Facilities","
        Bicycle related street and off-street improvements which consist of markings and hardscape that are intended to improve the movement of bicycles through the city. Existing facilities include all infrastructure currently on the ground with the following categories: protected bike lanes, buffered bike lanes, painted bike lanes, climbing lanes, neighborhood greenways, miscellaneous off-street facilities, and shared roadway markings (sharrows). Planned facilities are taken from the current Seattle Bicycle Master Plan and are subject to change as projects within the city are evaluated for their feasibility.

        Refresh Cycle: Daily Refresh

        Feature Class (Multi-use Trails): TRANSPO.SNDSEG_PV
        Feature Class (Existing and Planned Bike Facilities): SDOT.V_BikeFacilities
        ","Allen Grissom","federated_href",null,"bike,bike facilities,bike lanes,bike master plan,sdot,seattle gis open data,trails,transportation","https://data.seattle.gov/d/y6ch-r2te","https://data.seattle.gov/resource/y6ch-r2te.json","02/03/2025 06:37:41 PM","09/01/2025 07:03:31 PM","02/03/2025 06:37:41 PM","false","0","0",null,null,null,null,null,null,null,null,null], [289,"nwbb-qzfq","Housing Characteristics - Seattle Neighborhoods","Table from the American Community Survey (ACS) 5-year series on housing characteristics related topics for City of Seattle Council Districts, Comprehensive Plan Growth Areas and Community Reporting Areas. Table includes B25002 Occupancy Status, B24042 Tenure by Number of Bedrooms, B25024 Units in Structure, B25014 Tenure by Occupants per Room, B25040 House Heating Fuel, B25049 Tenure by Plumbing Facilities, B25053 Tenure by Kitchen Facilities, B25043 Tenure by Telephone Service Available by Age of Householder, B28003 Presence of a Computer and Type of Internet in Household. Data is pulled from block group tables for the most recent ACS vintage and summarized to the neighborhoods based on block group assignment.

        Table created for and used in the Neighborhood Profiles application.

        Vintages: 2023
        ACS Table(s): B25002, B24042, B25024, B25014, B25040, B25049, B25053, B25043, B28003
        Data downloaded from: Census Bureau's Explore Census Data 


        The United States Census Bureau's American Community Survey (ACS):
        • About the Survey
        • Geography & ACS
        • 2010 Decennial Census

          Decennial population data for Census Tracts in the City of Seattle.
          ","Allen Grissom","federated_href",null,"census,dc2010,demographics,gis,planning,population,seattle gis open data,tracts","https://data.seattle.gov/d/x2hn-g3dy","https://data.seattle.gov/resource/x2hn-g3dy.json","02/03/2025 06:38:13 PM","02/27/2025 07:09:13 PM","02/03/2025 06:38:13 PM","false","1","0",null,null,null,null,null,null,null,null,null], [291,"u6hg-npm7","Annual Population and Housing Estimates for 2020 Census Blocks in Seattle","

          Census 2020 blocks with the Washington State Office of Financial Management Small Area Estimates Program (SAEP) estimates. Enhanced with City of Seattle council districts and growth management areas.

          PLEASE BE AWARE, the urban village and comprehensive plan area designations are subject to change annually.

          Estimates are annual April, 1 for the 2010-202X with the most current year added Q4 of that year.

          (SAEP) estimates are meant to provide a consistent set of small area population and housing data for statewide applications. SAEP estimates are generated by the Washington State Office of Financial Management for census areas and other areas of statewide significance.

          Before using the SAEP estimates, please see the SAEP User Guide to gain a better understanding of the data and methods behind the estimates as well as limitations in their use. For more specific information about the 2020 data release, please see the User Notes and Errata document.

          Please note that SAEP estimates are NOT the official state population estimates used for revenue distribution and program administration related to cities and counties. Users interested in city and county estimates should see the state's official April 1 population estimates program.

          ","Allen Grissom","federated_href",null,"estimate,gis,households,housing,planning,population,seattle gis open data","https://data.seattle.gov/d/u6hg-npm7","https://data.seattle.gov/resource/u6hg-npm7.json","02/03/2025 06:38:38 PM","08/14/2025 07:05:47 PM","02/03/2025 06:38:38 PM","false","0","0",null,null,null,null,null,null,null,null,null], [292,"g97n-df37","SPU DWW Sewer Classification Areas","

          The classification of SPU infrastructure in the City of Seattle and the former service area north of the City limits into areas of piped flow where storm water flow is either separated, partially separated, or combined with sanitary flow. An area with separated flow means that drainage flow is in drainage pipes only. A partially separated area means that some pipes are present that have both drainage and sanitary flow. A combined area has all pipes carrying sanitary and drainage flow.

          Static dataset.

          ","Allen Grissom","federated_href",null,"seattle gis open data,sewer classification areas,sewer classification area sanitary,sewer classification area combined,sewer classification area partially seperated","https://data.seattle.gov/d/g97n-df37","https://data.seattle.gov/resource/g97n-df37.json","02/03/2025 06:38:04 PM","02/27/2025 07:08:53 PM","02/03/2025 06:38:04 PM","false","0","0",null,null,null,null,null,null,null,null,null], [293,"yg2c-t8dk","topo basin Seattle v2 - Possible TC - Vegetation (%)","

          This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to insure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.

          University of Vermont Spatial Analysis Laboratory in collaboration with City of Seattle.

          This dataset consists of City of Seattle Topo Basins areas which cover the following tree canopy categories: 

          • Existing tree canopy percent 
          • Possible tree canopy - vegetation percent 
          • Relative percent change 
          • Absolute percent change

          For more information, please see the 2021 Tree Canopy Assessment.

          ","Allen Grissom","federated_href",null,"seattle office of sustainability & environment,tree canopy,seattle gis open data,seattle,land cover,environment,biota","https://data.seattle.gov/d/yg2c-t8dk","https://data.seattle.gov/resource/yg2c-t8dk.json","02/03/2025 06:37:17 PM","02/27/2025 07:09:15 PM","02/03/2025 06:37:17 PM","false","1","0",null,null,null,null,null,null,null,null,null], [294,"qtya-3frn","UCUV Development Capacity Reports","

          These layers are used as part of the City of Seattle Zoned Development Capacity Model 2016. Includes all input and output layers..

          To estimate potential development, the City of Seattle maintains a zoned development capacity model that compares existing development to an estimate of what could be built under current zoning.

          The difference between existing and potential development yields the capacity for new residential and commercial development.

          There is a report of summary findings available as part of Seattle 2035 as well as resources for reports, methodologies and data.

          When downloading the data, please select a layer and then "GDB Download" under "Additional Resources" to preserve long field names.  The associated file geodatabase contains all the feature classes for the 10 layers represented.

          ","Allen Grissom","federated_href",null,"zoned capacity,seattle gis open data,planning,gis,development,devcapapp,capacity model 2016,buildable lands,capacity,zoning","https://data.seattle.gov/d/qtya-3frn","https://data.seattle.gov/resource/qtya-3frn.json","02/03/2025 06:37:28 PM","02/27/2025 07:08:25 PM","02/03/2025 06:37:28 PM","false","0","0",null,null,null,null,null,null,null,null,null], [295,"k5pj-wnh3","Existing Tree Canopy %","
          This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.

          University of Vermont Spatial Analysis Laboratory

          The dataset covers the following tree canopy categories:
          • Environmental Justice Priority Areas
          • Census tracts composite / quintile
          • Existing tree canopy percentage & environmental justice priority level
          • Existing tree canopy
          • Possible tree canopy
          • Relative percentage change
          For more information, please see the 2021 Tree Canopy Assessment.
          ","Allen Grissom","federated_href",null,"block groups,environment,land cover,seattle,seattle gis open data,seattle office of sustainability & environment,tree canopy,2016,2021,biota","https://data.seattle.gov/d/k5pj-wnh3","https://data.seattle.gov/resource/k5pj-wnh3.json","02/03/2025 06:38:24 PM","02/27/2025 07:09:08 PM","02/03/2025 06:38:24 PM","false","0","0",null,null,null,null,null,null,null,null,null], [296,"hcg8-qht4","City Light Usage Data for OSE Climate Portal","

          This\nlayer shows the aggregated emissions resulting from energy \nconsumption in buildings across different neighborhoods and sectors \n(i.e., residential, commercial and industrial). The data is mapped to census\ntracts.


          This\nlayer has been populated with utility energy consumption data \nprocured directly from Seattle City Light (electricity), aggregated and anonymized by sector, quarter, and census \ntract. Some tracts have their data combined and averaged with \nneighboring tracts for privacy purposes. If data is aggregated in a \ntract, the "grouped flag" field will read\n "true".



          For more information please visit the One Seattle Climate Portal item description page.
          ","Allen Grissom","federated_href",null,"seattle gis open data,climate,ose","https://data.seattle.gov/d/hcg8-qht4","https://data.seattle.gov/resource/hcg8-qht4.json","02/03/2025 06:37:21 PM","02/27/2025 07:08:37 PM","02/03/2025 06:37:21 PM","false","0","0",null,null,null,null,null,null,null,null,null], [297,"hpe8-xzh8","Public Schools - Relative % Change","

          This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.

          University of Vermont Spatial Analysis Laboratory

          This dataset consists of City of Seattle Public Schools areas which cover the following tree canopy categories:

          • Existing tree canopy percent
          • Possible tree canopy - vegetation percent
          • Relative percent change
          • Absolute percent change
          For more information, please see the 2021 Tree Canopy Assessment.
          ","Allen Grissom","federated_href",null,"flora,land cover,public schools,seattle,seattle gis open data,sustainability,2016,2021,biota,tree canopy,environment","https://data.seattle.gov/d/hpe8-xzh8","https://data.seattle.gov/resource/hpe8-xzh8.json","02/03/2025 06:37:16 PM","02/27/2025 07:09:10 PM","02/03/2025 06:37:16 PM","false","0","0",null,null,null,null,null,null,null,null,null], [298,"v6ty-n6w3","Creek Watersheds","

          This layer displays the urban creek watersheds. Creek watershed flow is in the contentious and intermittent natural surface water flow identified and recognized as a stream by the Seattle Public Utilities. The polygons are intended for use by the City of Seattle as planning-level tool for a preliminary understanding of the drainage patterns in particular areas of the City. The layer is not complete and does not reflect any City determination about how specific locations should be characterized. Creek watersheds were delineated using topography, utility infrastructure and field verification. The data source is DWW.urban_crk_wtrshd_plgn_pv. The layer does not display when zoomed out beyond 1:200,000. Labels are based on the attribute ALT_NAME and NAME, and do not display when zoomed out beyond 1:50,000. Refreshed weekly. Maintained by SPU USM.

          ","Allen Grissom","federated_href",null,"seattle gis open data,dww,polygon,urban creek,watershed","https://data.seattle.gov/d/v6ty-n6w3","https://data.seattle.gov/resource/v6ty-n6w3.json","02/03/2025 06:38:27 PM","08/25/2025 07:04:37 PM","02/03/2025 06:38:27 PM","false","0","0",null,null,null,null,null,null,null,null,null], [299,"hxnr-n7vf","Hospitals","
          Displays data from CARTO.HOSPITAL.  Labels based on FACILITY.

          Updated as needed, last update March 2020.
          ","Allen Grissom","federated_href",null,"public safety,acute care,emergency,medical care,seattle gis open data","https://data.seattle.gov/d/hxnr-n7vf","https://data.seattle.gov/resource/hxnr-n7vf.json","02/03/2025 06:38:12 PM","02/27/2025 07:08:27 PM","02/03/2025 06:38:12 PM","false","0","0",null,null,null,null,null,null,null,null,null], [300,"b4i4-fd59","SPU DWW Storm Outfalls","This layer displays all outfalls within the City of Seattle (and the former service area north of the City limits) regardless of ownership.  Selected Maximo data are included.  Displays data from DWW.outfall_pt_pv with the following definition query, OUT_LIFECYCLE_CODE IN ( 'C' , 'UNK' ,'T','TBC','U', 'PC').  Layer is symbolized on the attribute OWNER.  This layer does not display when zoomed out beyond 1:10,000.  Labels are based on the attributes OUT_S_ENDPT_ID, OUT_D_ENDPT_ID, and OUT_OUTFALL_ID.  Labels do not display when zoomed out beyond 1:3,000. 
          Refreshed weekly
          ","Allen Grissom","federated_href",null,"outfall,dww outfalls,seattle gis open data","https://data.seattle.gov/d/b4i4-fd59","https://data.seattle.gov/resource/b4i4-fd59.json","02/03/2025 06:38:04 PM","08/26/2025 07:01:41 PM","02/03/2025 06:38:04 PM","false","0","0",null,null,null,null,null,null,null,null,null], [301,"496t-d7ay","No New Taps","A grouped feature layer that includes Water Mains, Water Services, Same Side Tap Only and No New Taps layers.

          • Water Mains are large buried pipes that distribute water from a supply source ultimately to customer's service lines. 
          • Water Services are lines representing a water service delivered from a watermain to a property.
          • Same Side Tap Only and No New Taps are water main restrictions which represent the availability or access to water main assets. Same Side Tap Only are lines representing where water services are only allowed to be tapped on one side of the water main. 
          • No New Taps are lines representing water mains where new water services are no longer permitted to tap into the water main.
          This data provides a limited view of Seattle's water infrastructure. For example, the data does not include transmission pipelines or feeder mains for reasons of water system network security. The data may show water mains that are not eligible for new water service connections (e.g., obsolete or "no-tap" water mains).
          ","Allen Grissom","federated_href",null,"water main,water services,water mains,water,services,seattle gis open data,same side tap only,no new taps,mains","https://data.seattle.gov/d/496t-d7ay","https://data.seattle.gov/resource/496t-d7ay.json","02/03/2025 06:37:47 PM","08/26/2025 07:02:22 PM","02/03/2025 06:37:47 PM","false","0","0",null,null,null,null,null,null,null,null,null], [302,"sr7p-crgn","SPR Easements","

          Easements on Seattle Parks and Recreation owned properties or Easements relating to Seattle Parks and Recreation. Easement Types includes: Conservation, Access, Utility, Drainage and Wastewater, Driveway, Retaining Wall, Seawall.

          The SPR Easements Layer information is not complete or current. Use with caution.

          ","Allen Grissom","federated_href",null,"easements,spr,seattle gis open data","https://data.seattle.gov/d/sr7p-crgn","https://data.seattle.gov/resource/sr7p-crgn.json","02/03/2025 06:38:41 PM","08/26/2025 07:02:23 PM","02/03/2025 06:38:41 PM","false","0","0",null,null,null,null,null,null,null,null,null], [303,"qm3g-u4mv","Share of Rental Units by Affordability Category","Displacement risk indicator showing the distribution of renter households and renter units between different income brackets, covering the entire city from 2006 to the most recent year of data available.","Allen Grissom","federated_href",null,"seattle gis open data,hdri,planning,ipums,gis","https://data.seattle.gov/d/qm3g-u4mv","https://data.seattle.gov/resource/qm3g-u4mv.json","10/22/2024 09:13:10 PM","01/31/2025 07:27:38 PM","10/22/2024 09:13:10 PM","false","4","0",null,null,null,null,null,null,null,null,null], [304,"tmzy-wnu6","Environmentally Critical Areas ECA","Displays Environmentally Critical Areas (ECA) in the City of Seattle. For more information about the definition of the ECA layers, see Seattle Municipal Code section 25.09.

          Updated as needed.
          ","Allen Grissom","federated_href",null,"seattle gis open data,eca","https://data.seattle.gov/d/tmzy-wnu6","https://data.seattle.gov/resource/tmzy-wnu6.json","02/03/2025 06:38:20 PM","02/27/2025 07:07:54 PM","02/03/2025 06:38:20 PM","false","0","0",null,null,null,null,null,null,null,null,null], [305,"p3wv-mm26","Absolute % Change","
          This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.

          University of Vermont Spatial Analysis Laboratory

          This dataset consists of hexagons 50-acres in area, or several city blocks. The dataset covers the following tree canopy categories:
          • Existing tree canopy percent
          • Possible tree canopy - vegetation percent
          • Relative percent change
          • Absolute percent change
          • Average maximum afternoon temperature (F)
          • Tree canopy percentage & average afternoon temperature (F)
          For more information, please see the 2021 Tree Canopy Assessment.
          ","Allen Grissom","federated_href",null,"seattle gis open data,seattle,tree,vegetation,washington,temperature,2021,biota,percent change,canopy,environment,hexagons,king","https://data.seattle.gov/d/p3wv-mm26","https://data.seattle.gov/resource/p3wv-mm26.json","02/03/2025 06:38:38 PM","05/07/2025 07:03:37 PM","02/03/2025 06:38:38 PM","false","0","0",null,null,null,null,null,null,null,null,null], [306,"3cmv-4xng","Non-SPU Owned Non-Mainlines","Active, proposed, abandoned and removed secondary sewer and storm pipes that are not part of the mainline system (i.e. side sewers, service drains, etc.). Side Sewers are wastewater pipes from buildings and establishments that connect to mainline pipes. Service drains are stormwater pipes from buildings that connect to mainline pipes. Probable flow is the derived use classification based on what is the best estimation of usage broken out by drainage and sanitary.

          Refreshed weekly.
          ","Allen Grissom","federated_href",null,"spu non-mainlines,aba rem non-mainlines,detention lines,detention polygons,non-mainlines,proposed non-mainlines,seattle gis open data","https://data.seattle.gov/d/3cmv-4xng","https://data.seattle.gov/resource/3cmv-4xng.json","02/03/2025 06:38:03 PM","08/26/2025 07:02:17 PM","02/03/2025 06:38:03 PM","false","0","0",null,null,null,null,null,null,null,null,null], [307,"9keh-pq4k","Light Rail Alignment","Frequent, reliable transit service is the foundation of a transportation system that empowers all travelers and makes Seattle a truly transit-friendly city. A robust transit network is essential if Seattle is to meet its climate goals and address transportation-related inequities. At its most fundamental level, a transit network is made up of transit infrastructure such as bus lanes, transit signals, and bus stops, often arranged in corridors.  

          The transit service that travels on this infrastructure can be described as a series of routes that connect different parts of a community for a number of hours per day at a certain frequency (the number of trips at a bus stop per hour). SDOT’s vision for the service aspect of the transit network is followed by a vision for transit infrastructure in the sections below. 

          Public input and surveys consistently point to transit frequency as the most critical factor that influences ridership behavior. This fundamental concept directly informs SDOT’s shared vision for a “Frequent Transit Network” (FTN), which builds from the 2016 Transit Master Plan (TMP) and establishes aspirational frequency targets for transit corridors throughout the city. A high-frequency transit network enables people to move through the city with confidence in a timely arrival—and without the need to consult a schedule—throughout the day and every single day of the week. Continual investment in improved transit frequency in Seattle is essential for many reasons:  
          • Post-pandemic transit is likely to remain less commuter-focused and oriented specifically to Downtown Seattle and must adapt to new travel behaviors and patterns. 
          • To support everyday trips by transit (not just commutes), people need reliable mobility at all times, such as early mornings, midday, evenings and at night all days of the week, not just at peak times on weekdays.  
          • Transit needs to accommodate work schedules of non-traditional and low-income workers including the times noted above. 
          • Transit should be attractive for all types of trips throughout the week, including education, shopping, and recreational trips, as well as cultural gatherings. 
          • An excellent transit network is necessary to accommodate the mode shift required to respond to the impacts of climate change in the next decade. 
          • Frequent transit reduces wait time, increases reliability, and values the time for existing and future riders. 
          • Frequent transit makes transfers more feasible and allows a network of routes to function as a system. 
          • A connected network of frequent transit services is also critical to achieve STP climate goals, which require dramatic increases in transit ridership and VMT reduction to support broader efforts to reduce greenhouse gas (GHG) emissions from transportation.  
          • High transit frequencies as part of a reliable, all-day service network can create a more equitable transportation system, making it possible for people of all ages, incomes, and abilities to get where they want to go regardless of when or where they need to travel. The Transit Element presents a vision for frequent transit service in Seattle that goes beyond the original Frequent Transit Network (FTN) presented in the 2016 Transit Master Plan.  

          Refresh Cycle: None, Static. Manually as required.
          • Original Publish: 5/23/2024
          • Update Publish: 7/11/2024 per Policy and Planning team
          Contact: Policy and Planning team.
          ","Allen Grissom","federated_href",null,"bus,gis,light rail,sdot,seattle gis open data,seattle transportation plan,stp,transit,transit element","https://data.seattle.gov/d/9keh-pq4k","https://data.seattle.gov/resource/9keh-pq4k.json","02/03/2025 06:38:02 PM","05/29/2025 07:11:34 PM","02/03/2025 06:38:02 PM","false","0","0",null,null,null,null,null,null,null,null,null], [308,"i7n3-ewgh","SPU DWW Sub-Basins","

          The polygons are intended for use by the City of Seattle as planning-level tool for a preliminary understanding of the drainage patterns in particular areas of the City. The layer is not complete and does not reflect any City determination about how specific locations should be characterized. The data source is DWW.sub_basin_plgn_pv. Labels are based on the attribute ID. Layer does not display when zoomed out beyond 1:50,000.

          ","Allen Grissom","federated_href",null,"sub basin,dww,polygon,public utility,seattle gis open data","https://data.seattle.gov/d/i7n3-ewgh","https://data.seattle.gov/resource/i7n3-ewgh.json","02/03/2025 06:38:01 PM","02/27/2025 07:08:28 PM","02/03/2025 06:38:01 PM","false","0","0",null,null,null,null,null,null,null,null,null], [309,"qmdd-u4mt","Seattle Police Department Micro Community Policing Plans (Web Mercator)","
          This layer was published in the WGS 1984 Web Mercator Auxiliary Sphere coordinate system.
          ","Allen Grissom","federated_href",null,"seattle gis open data,police,neighborhoods,mcpp,wm,web mercator,spd","https://data.seattle.gov/d/qmdd-u4mt","https://data.seattle.gov/resource/qmdd-u4mt.json","02/03/2025 06:38:11 PM","02/27/2025 07:07:52 PM","02/03/2025 06:38:11 PM","false","1","0",null,null,null,null,null,null,null,null,null], [310,"hvrg-i7h9","Urban Centers and Villages Annual Covered Total Employment","

          Covered employment for the growth areas, urban centers and villages, for the City of Seattle Comprehensive Plan.  This is a stand alone table that includes non-spatial records.

          Covered employment is reported annually from the State of Washington QCEW data.

          The Washington State Employment Security Department, Quarterly Census of Employment and Wages (QCEW) is a federal/state cooperative program that measures employment and wages in industries covered by unemployment insurance. Data are available by industry and county and used to evaluate labor trends, monitor major industry developments and develop training programs. 

          ","Allen Grissom","federated_href",null,"gis,urban centers and villages,jobs,employment,planning,seattle gis open data","https://data.seattle.gov/d/hvrg-i7h9","https://data.seattle.gov/resource/hvrg-i7h9.json","10/22/2024 09:10:23 PM","01/31/2025 07:27:40 PM","10/22/2024 09:10:23 PM","false","0","0",null,null,null,null,null,null,null,null,null], [311,"qz9y-q2fd","Seattle Tree Canopy 2016 2021 Topo Basins","

          This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to insure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.

          University of Vermont Spatial Analysis Laboratory in collaboration with City of Seattle.

          This dataset consists of City of Seattle Topo Basins areas which cover the following tree canopy categories: 

          • Existing tree canopy percent 
          • Possible tree canopy - vegetation percent 
          • Relative percent change 
          • Absolute percent change

          For more information, please see the 2021 Tree Canopy Assessment.

          ","Allen Grissom","federated_href",null,"biota,environment,land cover,seattle,seattle gis open data,seattle office of sustainability & environment,tree canopy","https://data.seattle.gov/d/qz9y-q2fd","https://data.seattle.gov/resource/qz9y-q2fd.json","02/03/2025 06:37:17 PM","02/27/2025 07:08:58 PM","02/03/2025 06:37:17 PM","false","0","0",null,null,null,null,null,null,null,null,null], [312,"kmhv-jnkg","Seattle Shoreline","

          The shoreline essentially follows the 8 foot contour line, except where the\northo offered further clarification. That 8 foot contour line matches closest\nto what NAVD88 shows as "mean high water" (see official definition\nbelow) at 7.97 feet. MEAN HIGH WATER (MHW): "A tidal datum. The average of\nall the high water heights observed over the National Tidal Datum Epoch. For\nstations with shorter series, simultaneous observational comparisons are made\nwith a control tide station in order to derive the equivalent datum of the\nNational Tidal Datum Epoch." Source  "The MHW line along the tidal shoreline is represented by the contour line\nthat is 8.0' above the NAVD 88. The MHW elevation is not necessarily an\nequipotential (level) surface, but the variation from a level surface is not\nsignificant for this project. The determination of MHW is based on 18 yrs of\ntidal data and represents the latest official National Tidal Epoch of\n1960-1978. The Seattle Tide Station (Sta No 944-7130) is located at the\ndowntown ferry terminal." Source: From paper by Nick Bodnar 10/18/1993\nSome other definitions regarding these shorelines (from Nick Bodnar,\n10/18/1993): LAKES UNION AND WASHINGTON SHORELINE (18.6' above NAVD 88) The\napproximation of "ordinary high water"; the level of Lk Washington\nvaries from 17.0'-18.6' during the year; the max lake elevation is 18.8' as\ncontrolled by Corps of Engineers (COE) at Hiram Chittenden Locks. The NAVD 88\nlake elevations have been converted from the U.S. Engineers Datum. This zero of\nNAVD 88 is 3.25' above the Locks Datum at the common bench mark P-7. The\nshoreline contour of 18.8' above NAVD 88 should be used from the Locks,\nupstream through Lk Union and Lk Washington. The COE has performed various\nstudies that show the level of Lk Wash to approximate an equipotential surface\nthat can be represented by a single contour elevation for mapping purposes.\nOTHER LAKES The shoreline around Green Lake and all other lakes are delimited\nby the water/land interface as seen on the aerial photography.

          \n\n

          Displays data from CARTO.SHORE_LN

          Updated as needed.

          ","Allen Grissom","federated_href",null,"gis,seattle gis open data,shore,shoreline,terrain","https://data.seattle.gov/d/kmhv-jnkg","https://data.seattle.gov/resource/kmhv-jnkg.json","02/03/2025 06:37:29 PM","02/27/2025 07:09:01 PM","02/03/2025 06:37:29 PM","false","0","0",null,null,null,null,null,null,null,null,null], [313,"yr29-nywg","Rainwise","The RainWise program helps eligible property owners manage stormwater by installing rain gardens and/or cisterns on private property. The program is jointly funded by King County and SPU as part of the effort to manage 700 million gallons of storm runoff using green infrastructure by 2025. Property owners must live in selected Combined Sewer Overflow basins to be eligible.","Allen Grissom","federated_href",null,"best management practice,biofiltration,bioretention,bmp,cistern,citywide,conveyance,deciduous,evergreen,gallons managed,green roof,green stormwater infrastructure,gsi,king county,modular soil cell,rain garden,rainwise,sdci,sdot,seattle gis open data,spr,spu,swale,tree,underdrain","https://data.seattle.gov/d/yr29-nywg","https://data.seattle.gov/resource/yr29-nywg.json","02/03/2025 06:38:08 PM","08/25/2025 07:04:56 PM","02/03/2025 06:38:08 PM","false","0","0",null,null,null,null,null,null,null,null,null], [314,"vhwz-rk3t","Miscellaneous Structures","SDOT Miscellaneous Structures layer maintained by Seattle Department of Transportation.

          Feature Class: V_MiscStructures

          Refresh Cycle: Nightly

          Contact: Asset Management team
          ","Allen Grissom","federated_href",null,"asset management,gis,miscellaneous structures,sdot,seattle gis open data","https://data.seattle.gov/d/vhwz-rk3t","https://data.seattle.gov/resource/vhwz-rk3t.json","02/03/2025 06:37:44 PM","09/01/2025 07:03:31 PM","02/03/2025 06:37:44 PM","false","0","0",null,null,null,null,null,null,null,null,null], [315,"x5yp-qk4m","Swimming Pools","SPR Swimming Pool locations

          Refresh Cycle: Weekly on Mondays

          Feature Class: DPR.SwimmingPools
          ","Allen Grissom","federated_href",null,"common data layers,parks,seattle gis open data,spr,swimming pools","https://data.seattle.gov/d/x5yp-qk4m","https://data.seattle.gov/resource/x5yp-qk4m.json","02/03/2025 06:38:25 PM","09/01/2025 07:03:34 PM","02/03/2025 06:38:25 PM","false","0","0",null,null,null,null,null,null,null,null,null], [316,"btvs-6dd4","One Way Streets","Displays one way streets maintained by the Seattle Department of Transportation.

          Refresh Cycle: 

          Feature Class: SDOT.OneWayStreets
          ","Allen Grissom","federated_href",null,"common data layers,one-way streets,sdot,seattle gis open data,transportation","https://data.seattle.gov/d/btvs-6dd4","https://data.seattle.gov/resource/btvs-6dd4.json","02/03/2025 06:37:39 PM","09/01/2025 07:03:38 PM","02/03/2025 06:37:39 PM","false","0","0",null,null,null,null,null,null,null,null,null], [317,"t9ea-5s35","Contours","City of Seattle 2 ft contours derived from Lidar captured in 2021.\n Contour lines display at 2ft, 10ft and 50ft intervals dependent on \nscale. Lines have been smoothed and generalized for display and \nperformance.
          \n
          \nDevelopment Detail:
          \n
          \nThis vector tile service includes topographic contour lines representing\n elevation at 2-foot intervals within the city of Seattle.
          \n
          \nThe contours were derived from a bare earth - digital elevation model \n(DEM) with a pixel resolution of 1.5 feet. The lidar data that created \nthe DEM were collected by NV5 Geospatial over the spring and summer \nmonths of 2021 and provided to the city by King County in 2022.
          \n
          \nThe DEM used to generate the contours was filtered using the Focal \nStatistics tool in ArcGIS, which served to limit some abrupt changes in \ncell values. A 3x3 rectangular neighborhood analysis was applied and a \nmean value was calculated per raster cell.
          \n
          \nAfter running the Focal Statistics tool, 2-foot contours were generated \nfrom the filtered DEM. To reduce file size and improve performance, the \ncontours were generalized further using the Smooth Line tool in ArcGIS. A\n smoothing algorithm type of Polynomial Approximation with Exponential \nKernel (PAEK) and a smoothing tolerance of 20 feet was selected in the \nSmooth Line tool parameter options.
          \n
          \nFinally, after executing both generalization tools (Focal Statistics and\n Smooth Line), all lines less than 25 feet in length were omitted from \nthe final output.
          \n
          \nPlease note: The 2-foot contours are intended to be used for general \nreference and cartographic purposes only and should not be used for \nanalysis purposes.          ","Allen Grissom","federated_href",null,"contours,seattle,seattle gis open data","https://data.seattle.gov/d/t9ea-5s35","https://data.seattle.gov/resource/t9ea-5s35.json","02/03/2025 06:37:28 PM","02/27/2025 07:08:08 PM","02/03/2025 06:37:28 PM","false","0","0",null,null,null,null,null,null,null,null,null], [318,"aii8-su3w","Bridges","Displays bridges maintained by the Seattle Department of Transportation.

          Views: Link, which adds the recommended filter for general use of the dataset: 'STATUS IN(INSVC, REMSCHD) OR STATUS is empty string'

          Refresh Cycle: Daily

          Feature Class: SDOT.V_BRIDGE
          ","Allen Grissom","federated_href",null,"bridges,common data layers,sdot,seattle gis open data,transportation","https://data.seattle.gov/d/aii8-su3w","https://data.seattle.gov/resource/aii8-su3w.json","02/03/2025 06:37:43 PM","09/01/2025 07:03:45 PM","02/03/2025 06:37:43 PM","false","0","0",null,null,null,null,null,null,null,null,null], [319,"yhgf-wd2e","Railroad Crossings","Displays railroad crossings maintained by the Seattle Department of Transportation.

          Views: Link, adds recommended definition query for general use: 'CURRENT_STATUS NOT IN('REMOVED')'

          Refresh Cycle: Daily

          Feature Class: SDOT.V_RRCrossings
          ","Allen Grissom","federated_href",null,"common data layers,railroad crossings,sdot,seattle gis open data,transportation","https://data.seattle.gov/d/yhgf-wd2e","https://data.seattle.gov/resource/yhgf-wd2e.json","02/03/2025 06:37:38 PM","09/01/2025 07:03:41 PM","02/03/2025 06:37:38 PM","false","0","0",null,null,null,null,null,null,null,null,null], [320,"mruw-hwg8","Proposed Polygons","

          This layer displays the footprint of\nvarious structures associated with mainline and is described within the\ndescriptive text column of the feature class.  It does not include pump\nstations, vaults, or detention systems.  Data source is DWW. polygon_plgn_pv\nand uses the following query, (PLY_LIFECYCLE_CODE\nIN ('C', 'UNK', 'T', 'TBC', 'U', 'PC') And PLY_DWW_ROLE_CODE IN ('MNL',\n'CONNPT', 'ENDPT', 'NONMAIN', 'SURFDRN') And PLY_DWW_FEATYPE_CODE NOT IN\n('PST', 'VLT', 'WQS', 'DTS', 'DTC', 'DTL', 'PIT') And PLY_FEATYPE_CODE NOT IN\n('PND', 'LIN')) Or (PLY_FEATYPE_CODE = 'MSC' And PLY_DESC_TEXT NOT LIKE '%Green\nRoof%' And PLY_DESC_TEXT NOT LIKE '%Modular%' And PLY_LIFECYCLE_CODE IN ('C',\n'UNK', 'T', 'TBC', 'U', 'PC')). This layer does not\ndisplay when zoomed out beyond 1:7,000.  Labels are based on the attribute\nDESCRIPTION.

          \n\n

          Refreshed daily.

          ","Allen Grissom","federated_href",null,"detention systems,misc structure,pump station,seattle gis open data,vault","https://data.seattle.gov/d/mruw-hwg8","https://data.seattle.gov/resource/mruw-hwg8.json","02/03/2025 06:38:00 PM","09/01/2025 07:03:32 PM","02/03/2025 06:38:00 PM","false","0","0",null,null,null,null,null,null,null,null,null], [321,"h2j2-5dnc","Wading Pools","Locations of children wading pools that are managed by Seattle Parks. Wading pools operate in the summer only.

          Refresh Cycle: Weekly

          Feature Class: DPR.WadingPools
          ","Allen Grissom","federated_href",null,"common data layers,parks,seattle gis open data,spr,wading pools","https://data.seattle.gov/d/h2j2-5dnc","https://data.seattle.gov/resource/h2j2-5dnc.json","02/03/2025 06:38:31 PM","09/01/2025 07:03:57 PM","02/03/2025 06:38:31 PM","false","0","0",null,null,null,null,null,null,null,null,null], [322,"gzru-b8hr","GENBKGRND","View of Channelization data represents roadway paint lines, curbs, and other markings that delineate traffic lanes, bike routes, bus zones, etc. which are critical for public safety.

          Common Data Layer: Common data layer created from a read only view from this feature layer. It is owned by SDOT Transportation account and will be made available in Open Data.

          Refresh Cycle: None, Dynamic via AutoCAD updates

          Channelization data consists of the following layers:
          1. Vertical Elements
          2. Lane Widths
          3. Panel Markings
          4. Longitudinal Markings
          5. Transverse Markings
          6. Legend and Symbols
          7. General Background
          ","Allen Grissom","federated_href",null,"channelization,sdot,seattle gis open data","https://data.seattle.gov/d/gzru-b8hr","https://data.seattle.gov/resource/gzru-b8hr.json","02/03/2025 06:37:22 PM","08/29/2025 07:04:56 PM","02/03/2025 06:37:22 PM","false","1","0",null,null,null,null,null,null,null,null,null], [323,"y6ip-emxc","SDOT Pay Stations","

          Display the locations of Paid Parking Kiosks that distribute a receipt that is displayed in vehicle for mapping purposes.

          Refresh Cycle: Daily Refresh

          Feature Class: SDOT.V_PAYSTATIONS

          Pay Station Definition Query:

          To view the INSVC, or PLNRECON, or ' ' status, use

          CURRENT_STATUS = 'INSVC' OR CURRENT_STATUS ='PLNRECON' OR CURRENT_STATUS = ' '

          ","Allen Grissom","federated_href",null,"parking,pay,sdot,seattle gis open data,station,transportation","https://data.seattle.gov/d/y6ip-emxc","https://data.seattle.gov/resource/y6ip-emxc.json","02/03/2025 06:37:44 PM","09/01/2025 07:03:46 PM","02/03/2025 06:37:44 PM","false","0","0",null,null,null,null,null,null,null,null,null], [324,"xihi-8zwu","Park Restrooms","Seattle Parks and Recreation Restrooms that are open to the public.

          Refresh Cycle: Weekly

          Feature Class: DPR.CMFT_STN_PT
          ","Allen Grissom","federated_href",null,"comfort station,restroom,seattle gis open data,seattle parks and recreation,spr","https://data.seattle.gov/d/xihi-8zwu","https://data.seattle.gov/resource/xihi-8zwu.json","02/03/2025 06:38:25 PM","09/01/2025 07:03:43 PM","02/03/2025 06:38:25 PM","false","0","0",null,null,null,null,null,null,null,null,null], [325,"b7ge-kdda","Major Truck Streets","Freight related data grouped together and made up of major truck streets, freight network, over legal routes, and heavy haul network. Data is maintained by Seattle Department of Transportation.

          Feature Class:
          • MajTrkStrts
          • FMP_FreightNetwork
          • Freight_OverLegalRoutes
          • Freight_HeavyHaulNetwork

          Refresh Cycle: Nightly Refresh
          ","Allen Grissom","federated_href",null,"freight,freight network,heavy haul network,major truck streets,over legal routes,sdot,seattle gis open data","https://data.seattle.gov/d/b7ge-kdda","https://data.seattle.gov/resource/b7ge-kdda.json","02/03/2025 06:37:34 PM","09/01/2025 07:03:35 PM","02/03/2025 06:37:34 PM","false","0","0",null,null,null,null,null,null,null,null,null], [326,"5eqe-h3dy","Outdoor Ceremony Site","Seattle Parks & Recreation Reservable Outdoor Event Sites.

          Refresh Cycle: Weekly

          Feature Class: DPR.OutdoorCeremonySite_PT
          ","Allen Grissom","federated_href",null,"common data layers,outdoor ceremony site,parks,seattle gis open data,spr","https://data.seattle.gov/d/5eqe-h3dy","https://data.seattle.gov/resource/5eqe-h3dy.json","02/03/2025 06:38:27 PM","09/01/2025 07:03:34 PM","02/03/2025 06:38:27 PM","false","0","0",null,null,null,null,null,null,null,null,null], [327,"wfr2-r753","Viewpoints","Seattle Parks and Recreation park locations with great Viewpoints.

          Refresh Cycle: Weekly

          Feature Class: DPR.Views
          ","Allen Grissom","federated_href",null,"common data layers,parks,seattle gis open data,spr,viewpoints","https://data.seattle.gov/d/wfr2-r753","https://data.seattle.gov/resource/wfr2-r753.json","02/03/2025 06:38:31 PM","09/01/2025 07:03:40 PM","02/03/2025 06:38:31 PM","false","0","0",null,null,null,null,null,null,null,null,null], [328,"bhew-wtmj","Parks Boundary Centroids","

          This grouped layer of City of Seattle Parks contains Parks centroids, Parks Boundary outlines, Parks, and also Parks not owned by Seattle Parks and Recreation.  

          Layers also available separately as hosted views:

          Parks Boundary Centroids

          Parks Boundary (outline)

          Parks Boundary (details)

          Parks Not SPR

          Refresh Cycle: Weekly on Mondays

          ","Allen Grissom","federated_href",null,"park,parks,seattle gis open data,spr","https://data.seattle.gov/d/bhew-wtmj","https://data.seattle.gov/resource/bhew-wtmj.json","02/03/2025 06:37:44 PM","09/01/2025 07:03:55 PM","02/03/2025 06:37:44 PM","false","0","0",null,null,null,null,null,null,null,null,null], [329,"tcqd-jmbu","Snow and Ice Routes","SDOT Snow and Ice Level of Service Treatment and Routes, based on the Winter Weather Storm Response Plan. Level of Service is a hierarchy of snow and ice response in achieving bare and wet pavement road condition. Annual snow and ice routes maintained by Seattle Department of Transportation. The snow and ice routes are displayed in the Winter Weather Storm Response Map (external and internal). 

          Refresh Cycle: Manually refreshed annually prior to November 1st and on as needed basis.
          ","Allen Grissom","federated_href",null,"sdot,seattle gis open data,snow and ice routes,storm,winter weather","https://data.seattle.gov/d/tcqd-jmbu","https://data.seattle.gov/resource/tcqd-jmbu.json","02/03/2025 06:38:36 PM","08/19/2025 07:04:13 PM","02/03/2025 06:38:36 PM","false","0","0",null,null,null,null,null,null,null,null,null], [330,"cffr-vg49","Multi-use Trails (Seattle Only)","
          Bicycle related street and off-street improvements which consist of markings and hardscape that are intended to improve the movement of bicycles through the city. Existing facilities include all infrastructure currently on the ground with the following categories: protected bike lanes, buffered bike lanes, painted bike lanes, climbing lanes, neighborhood greenways, miscellaneous off-street facilities, and shared roadway markings (sharrows). Planned facilities are taken from the current Seattle Bicycle Master Plan and are subject to change as projects within the city are evaluated for their feasibility.

          Refresh Cycle: Daily Refresh

          Feature Class (Multi-use Trails): TRANSPO.SNDSEG_PV
          Feature Class (Existing and Planned Bike Facilities): SDOT.V_BikeFacilities
          ","Allen Grissom","federated_href",null,"bike,bike facilities,bike lanes,bike master plan,sdot,seattle gis open data,trails,transportation","https://data.seattle.gov/d/cffr-vg49","https://data.seattle.gov/resource/cffr-vg49.json","02/03/2025 06:37:41 PM","09/01/2025 07:03:50 PM","02/03/2025 06:37:41 PM","false","0","0",null,null,null,null,null,null,null,null,null], [331,"qesd-tcsv","NHS Routes","Displays NHS routes maintained by the Seattle Department of Transportation.

          Refresh Cycle: Daily

          Feature Class: SDOT.NHS_Routes
          ","Allen Grissom","federated_href",null,"common data layers,nhs routes,sdot,seattle gis open data,transportation","https://data.seattle.gov/d/qesd-tcsv","https://data.seattle.gov/resource/qesd-tcsv.json","02/03/2025 06:37:39 PM","09/01/2025 07:03:45 PM","02/03/2025 06:37:39 PM","false","0","0",null,null,null,null,null,null,null,null,null], [332,"qj2w-2vgn","SPU DWW GSI Weirs","The DWW (Drainage and Waste Water) GSI (Green Stormwater Infrastructure) layer consists of line and polygon representations of the following features: Swales (biofiltration, bioretention, biofiltration/bioretention, and conveyance) are generally shallow depressions with a designed mix of soil and plants which break down pollutants through natural processes while reducing runoff. Permeable pavement is a paving system which allows rainfall to percolate into an underlying soil or aggregate storage reservoir. Underdrain piping systems are provided to prevent prolonged ponding of stormwater or to collect and convey water to another facility. Rain gardens are less engineered systems that are designed to mitigate water from the sidewalk only and have two inches or less of ponded depth. The drainage structures represented in the GSI points are not all unique to GSI, however, they are specifically part of SPU GSI projects.

          The data is being refreshed weekly.
          ","Allen Grissom","federated_href",null,"biofiltration,bioretention,conveyance,dww,gis,green roof,green storm infrastructure,gsi,modular soil cell,permeable pavement,polygon,rain garden,seattle gis open data,silva cell,spu,surface drainage,surface drainline,swale","https://data.seattle.gov/d/qj2w-2vgn","https://data.seattle.gov/resource/qj2w-2vgn.json","02/03/2025 06:37:50 PM","09/01/2025 07:03:52 PM","02/03/2025 06:37:50 PM","false","0","0",null,null,null,null,null,null,null,null,null], [333,"rvfh-eaka","Fire Pits","Seattle Parks and Recreation locations of Parks with Fire Pits that are located within the Park. The feature class was created to support the Parks Web site. The location of the point may not be the exact location of a fire pit.

          Refresh Cycle: Weekly

          Feature Class: DPR.FirePit
          ","Allen Grissom","federated_href",null,"common data layers,fire pits,parks,seattle gis open data,spr","https://data.seattle.gov/d/rvfh-eaka","https://data.seattle.gov/resource/rvfh-eaka.json","02/03/2025 06:38:29 PM","09/01/2025 07:03:38 PM","02/03/2025 06:38:29 PM","false","0","0",null,null,null,null,null,null,null,null,null], [334,"bn3h-mght","Aba Rem Inlets","This layer displays all the catch basins, catch basin grated tops, sandboxes, junction boxes, inlets and trash racks within the City of Seattle (and the former service area north of the City limits) regardless of ownership.
          A catch basin is a connector to the storm drain system that typically includes an inlet where stormwater enters the catch basin and a sump to capture sediment, debris, and associated pollutants prior to the surface water flowing into a storm or sewer pipe. There are two main types of inlets: side inlets and grated inlets.  Side inlets are located adjacent to the curb and rely on the ability of the opening under the curb to capture flow. Grated inlets have gratings or metal grids to prevent large objects and debris from falling into the combined sewer or drainage system.  They collect surface runoff for conveyance in a pipe system. Sandboxes have wooden lids and are filled with sand or gravel and drain directly into the ground or to a culvert as part of the informal drainage system. Sandboxes are no longer being installed. Junction boxes are cement structure with a grated metal lid, shallow in depth, generally connect culverts and are inline as part of the informal ditch and culvert system.  Trash racks are grated structures that collect debris. Trash racks may be on maintenance holes, catch basins, other structures, or streams.
          Data source is DWW.catch_basin_pt_pv, and DWW.APPURTENANCE_PT_PV. Maintained by SPU GIS DWW Data Maintenance staff. This layer does not display when zoomed out beyond 1:899.

          Refreshed daily.
          ","Allen Grissom","federated_href",null,"appurtenance point,catch basin,catch basin - grated top,cb,cbl,inl,inlet,jb,jbs,junction box,junction box with sump,sandbox,sb,seattle gis open data,trash racks,trr","https://data.seattle.gov/d/bn3h-mght","https://data.seattle.gov/resource/bn3h-mght.json","02/03/2025 06:38:06 PM","09/01/2025 07:03:42 PM","02/03/2025 06:38:06 PM","false","0","0",null,null,null,null,null,null,null,null,null], [335,"9r94-65xb","SDOT.V SU PERMITS","An updated Permit Data Model that includes relationships between the component feature classes.  The Dissolved Use Impacts (SDOT.V_SU_PERMIT_USE_IMPACT_DISS) feature class is derived from dissolving the Use Impacts (SDOT.V_SU_PERMIT_USE_IMPACTS) feature class by Permit Number.  The Impacts feature class is the Use Impact street line segments that are associated with any give Permit point (V_SU_PERMITS).  The relationships connect the Permit points to the Dissolved Use Impacts and then the Dissolved Use Impacts to the component Use Impacts.  This data model allows you to see all impacted street line segments associated with any given Permit easily, while also being able to drill down to any specific Use Impact for a given Permit.  

          Service is constructed for use in the Right of Way Map.  

          Data set to Nightly Refresh.  

          Any Questions or Concerns contact the SDOT Street Use Data and GIS Team:  Craig Moore/Bryan Bommersbach
          ","Allen Grissom","federated_href",null,"permit data model,sdot,seattle gis open data,street use","https://data.seattle.gov/d/9r94-65xb","https://data.seattle.gov/resource/9r94-65xb.json","02/06/2025 07:07:11 PM","09/01/2025 07:03:51 PM","02/06/2025 07:07:11 PM","false","381","0",null,null,null,null,null,null,null,null,null], [336,"ga5y-7x3e","Traffic Lanes","Displays traffic lanes maintained by the Seattle Department of Transportation.

          Refresh Cycle: Daily

          Feature Class: SDOT.V_TRAFFIC_LANES
          ","Allen Grissom","federated_href",null,"common data layers,sdot,seattle gis open data,traffic layers,transportation","https://data.seattle.gov/d/ga5y-7x3e","https://data.seattle.gov/resource/ga5y-7x3e.json","02/03/2025 06:38:19 PM","02/27/2025 07:08:27 PM","02/03/2025 06:38:19 PM","false","0","0",null,null,null,null,null,null,null,null,null], [337,"t8y9-7mhh","Adult Fitness","Contain Seattle Park locations that have Adult Fitness Equipment located within them.

          Refresh Cycle: Weekly

          Feature Class: DPR.AdultFitness
          ","Allen Grissom","federated_href",null,"adult fitness,common data layers,parks,spr,seattle gis open data","https://data.seattle.gov/d/t8y9-7mhh","https://data.seattle.gov/resource/t8y9-7mhh.json","02/03/2025 06:38:31 PM","09/01/2025 07:03:52 PM","02/03/2025 06:38:31 PM","false","1","0",null,null,null,null,null,null,null,null,null], [338,"ejqe-gc2m","Streetcar Lines","Streetcar Lines in Seattle.  Contains the South Lake Union and First Hill Line.  

          Displays streetcar lines maintained by the Seattle Department of Transportation.

          Refresh Cycle: Daily

          Feature Class: SDOT.Streetcar_Lines
          ","Allen Grissom","federated_href",null,"common data layers,sdot,seattle gis open data,streetcar lines,transportation","https://data.seattle.gov/d/ejqe-gc2m","https://data.seattle.gov/resource/ejqe-gc2m.json","02/03/2025 06:37:36 PM","09/01/2025 07:03:33 PM","02/03/2025 06:37:36 PM","false","1","0",null,null,null,null,null,null,null,null,null], [339,"a5mu-b2ub","Housing Tenure and Costs - Seattle Neighborhoods","Table from the American Community Survey (ACS) 5-year series on housing tenure and cost related topics for City of Seattle Council Districts, Comprehensive Plan Growth Areas and Community Reporting Areas. Table includes B25003 Tenure of Occupied Housing Units, B25070 Gross Rent as a Percentage of Household Income in the Past 12 Months, B25063 Gross Rent, B25091 Mortgage Status by Selected Monthly Owner Costs as a Percentage of Household Income in the Past 12 Months, B25087 Mortgage Stauts and Selected Monthly Owner Costs, B25064 Median Gross Rent, B25088 Median Selected Monthly Owner Costs by Mortgage Status. Data is pulled from block group tables for the most recent ACS vintage and summarized to the neighborhoods based on block group assignment.

          Table created for and used in the Neighborhood Profiles application.

          Vintages: 2023
          ACS Table(s): B25003, B25070, B25063, B25091, B25087, B25064, B25088
          Data downloaded from: Census Bureau's Explore Census Data 


          The United States Census Bureau's American Community Survey (ACS):
          • About the Survey
          • Geography & ACS
          • Table from the American Community Survey (ACS) S1602 limited English speaking households (households where no one age 14 and over speaks English "very well"). These are multiple, nonoverlapping vintages of the 5-year ACS estimates of population and housing attributes starting in 2010 shown by the corresponding census tract vintage. Also includes the most recent release annually.

            King County, Washington census tracts with nonoverlapping vintages of the 5-year American Community Survey (ACS) estimates starting in 2010. Vintage identified in the "ACS Vintage" field.

            The census tract boundaries match the vintage of the ACS data (currently 2010 and 2020) so please note the geographic changes between the decades. 

            Tracts have been coded as being within the City of Seattle as well as assigned to neighborhood groups called "Community Reporting Areas". These areas were created after the 2000 census to provide geographically consistent neighborhoods through time for reporting U.S. Census Bureau data. This is not an attempt to identify neighborhood boundaries as defined by neighborhoods themselves.

            Vintages: 2010, 2015, 2020, 2021, 2022, Geocode reference - Used as a source for derived reference data for address validation and theoretical address location Address Range data repository - This data store is the City's address range repository defining address ranges in association with transportation network features. Polygon boundary reference - Used to define various area boundaries is other feature classes where coincident with the transportation network. Does not contain polygon features. Address based extracts - Used to create flat-file extracts typically indexed by address with reference to business data typically associated with transportation network features. Thematic linear location reference - By providing unique, stable identifiers for each linear feature, thematic data is associated to specific transportation network features via these identifiers. Thematic intersection location reference - By providing unique, stable identifiers for each intersection feature, thematic data is associated to specific transportation network features via these identifiers. Network route tracing - Used as source for derived reference data used to determine point to point travel paths or determine optimal stop allocation along a travel path. Topological connections with segments - Used to provide a specific definition of location for each transportation network feature. Also provides a specific definition of connection between each transportation network feature. (defines where the streets are and the relationship between them ie. 4th Ave is west of 5th Ave and 4th Ave does intersect with Cherry St) Event location reference - Used as source for derived reference data used to locate event and linear referencing.
            ","Allen Grissom","federated_href",null,"seattle gis open data,snd,streets,transportation","https://data.seattle.gov/d/cmy3-6chy","https://data.seattle.gov/resource/cmy3-6chy.json","02/03/2025 06:37:31 PM","08/25/2025 07:04:37 PM","02/03/2025 06:37:31 PM","false","0","0",null,null,null,null,null,null,null,null,null], [342,"rt4f-jcqz","PSRC VMT Intertract Summary","

            This\nlayer shows total trips by mode and their corresponding emissions \nacross different neighborhoods in Seattle. The data is mapped to census\ntracts.


            The\n data in this layer has been populated using an output from the \nPuget Sound Regional Council's (PSRC's) regional travel demand model. \nThis model is updated only once every few years and is therefore not \nideal for frequent data updates. The City is working on procuring more \nfrequent measured travel data from alternate sources.






            ","Allen Grissom","federated_href",null,"ose,emissions,seattle gis open data,climate","https://data.seattle.gov/d/rt4f-jcqz","https://data.seattle.gov/resource/rt4f-jcqz.json","02/03/2025 06:37:25 PM","02/27/2025 07:09:06 PM","02/03/2025 06:37:25 PM","false","0","0",null,null,null,null,null,null,null,null,null], [343,"72fk-dpu8","SPU DWW Aba Rem GSI Weirs","The DWW (Drainage and Waste Water) GSI (Green Stormwater Infrastructure) layer consists of line and polygon representations of the following features: Swales (biofiltration, bioretention, biofiltration/bioretention, and conveyance) are generally shallow depressions with a designed mix of soil and plants which break down pollutants through natural processes while reducing runoff. Permeable pavement is a paving system which allows rainfall to percolate into an underlying soil or aggregate storage reservoir. Underdrain piping systems are provided to prevent prolonged ponding of stormwater or to collect and convey water to another facility. Rain gardens are less engineered systems that are designed to mitigate water from the sidewalk only and have two inches or less of ponded depth. The drainage structures represented in the GSI points are not all unique to GSI, however, they are specifically part of SPU GSI projects.

            The data is being refreshed weekly.
            ","Allen Grissom","federated_href",null,"surface drainline,spu,surface drainage,biofiltration,bioretention,conveyance,dww,gis,green roof,green storm infrastructure,swale,silva cell,gsi,modular soil cell,permeable pavement,polygon,rain garden,seattle gis open data","https://data.seattle.gov/d/72fk-dpu8","https://data.seattle.gov/resource/72fk-dpu8.json","02/03/2025 06:37:48 PM","08/26/2025 07:02:03 PM","02/03/2025 06:37:48 PM","false","0","0",null,null,null,null,null,null,null,null,null], [344,"pm7b-erxv","Public Schools - Existing TC Percent","

            This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.

            University of Vermont Spatial Analysis Laboratory

            This dataset consists of City of Seattle Public Schools areas which cover the following tree canopy categories:

            • Existing tree canopy percent
            • Possible tree canopy - vegetation percent
            • Relative percent change
            • Absolute percent change
            For more information, please see the 2021 Tree Canopy Assessment.
            ","Allen Grissom","federated_href",null,"2016,tree canopy,sustainability,seattle gis open data,seattle,public schools,land cover,flora,environment,biota,2021","https://data.seattle.gov/d/pm7b-erxv","https://data.seattle.gov/resource/pm7b-erxv.json","02/03/2025 06:37:16 PM","02/27/2025 07:09:09 PM","02/03/2025 06:37:16 PM","false","8","0",null,null,null,null,null,null,null,null,null], [345,"wz8v-j4kr","10 Min Walk Service Area outside of Urban Village","
            Seattle Parks and Recreation 2023 Walkability Gap Analysis. 

            SPR’s intent is to gain a more accurate picture of access, by measuring how people walk to a park or recreation facility. We are calling this "walkability".

            This map shows what a 5-minute and a 10-minute walking distance (or walkability area) looks like around park lands that are greater than 10,000 square feet in size.

            ","Allen Grissom","federated_href",null,"gap analysis,spr,walking analysis,walkability,seattle gis open data","https://data.seattle.gov/d/wz8v-j4kr","https://data.seattle.gov/resource/wz8v-j4kr.json","02/03/2025 06:38:23 PM","03/17/2025 07:05:21 PM","02/03/2025 06:38:23 PM","false","0","0",null,null,null,null,null,null,null,null,null], [346,"az78-wea3","Seattle Tree Canopy 2016 2021 Block Groups","

            This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.

            University of Vermont Spatial Analysis Laboratory in collaboration with City of Seattle.

            This dataset consists of City of Seattle Block Groups areas which cover the following tree canopy categories: 

            • Existing tree canopy percent 
            • Possible tree canopy - vegetation percent 
            • Relative percent change 
            • Absolute percent change
            For more information, please see the 2021 Tree Canopy Assessment.

            ","Allen Grissom","federated_href",null,"2016,seattle gis open data,seattle office of sustainability & environment,tree canopy,block groups,biota,2021,seattle,land cover,environment","https://data.seattle.gov/d/az78-wea3","https://data.seattle.gov/resource/az78-wea3.json","02/03/2025 06:38:42 PM","02/27/2025 07:07:58 PM","02/03/2025 06:38:42 PM","false","381","0",null,null,null,null,null,null,null,null,null], [347,"9i6k-mu7s","Mandatory Housing Affordability (MHA) Fee Areas","

            Note:  This map is not an official zoning map.  For precise zoning information, please call or visit the Seattle Municipal Tower, Seattle Department of Construction and Inspections

            For properties subject to Mandatory Housing Affordability, the fee areas map specifies the locational dimension of the MHA requirement.  

            Mandatory Housing Affordability requires new development to contribute to affordable housing by including affordable housing in the development or making a payment to the City’s Office of Housing to support affordable housing. The amount of the MHA contribution varies based on a property’s location and other factors specified in Seattle Municipal Code Chapters 23.58B and 23.58C.  For properties subject to MHA, the fee areas map specifies the locational dimension of the MHA requirement.  MHA amounts in Downtown and South Lake Union have specific requirement levels for each zone as listed in SMC 23.58B and 23.58C. For other areas, the relative high, medium or low aspect of the MHA requirement corresponds to market strength area of the city.  

            ","Allen Grissom","federated_href",null,"sdcizoningmap,seattle gis open data,zoning,gis,land use,mha,planning","https://data.seattle.gov/d/9i6k-mu7s","https://data.seattle.gov/resource/9i6k-mu7s.json","02/03/2025 06:38:13 PM","04/02/2025 07:10:09 PM","02/03/2025 06:38:13 PM","false","0","0",null,null,null,null,null,null,null,null,null], [348,"we6q-v76a","Reachable Streets","Feature layer generated via the Create Drive Times tool. Inputs include SPS school access points & a walking distance of 0.25 mi. *to* each school access point.","Allen Grissom","federated_href",null,"analysis result,drive times,seattle gis open data,seattle school access points - public school access points","https://data.seattle.gov/d/we6q-v76a","https://data.seattle.gov/resource/we6q-v76a.json","02/03/2025 06:37:26 PM","02/27/2025 07:08:58 PM","02/03/2025 06:37:26 PM","false","0","0",null,null,null,null,null,null,null,null,null], [349,"eimm-t4f8","SPU DWW Aba Rem Facility Footprints","The DWW (Drainage and Waste Water) GSI (Green Stormwater Infrastructure) layer consists of line and polygon representations of the following features: Swales (biofiltration, bioretention, biofiltration/bioretention, and conveyance) are generally shallow depressions with a designed mix of soil and plants which break down pollutants through natural processes while reducing runoff. Permeable pavement is a paving system which allows rainfall to percolate into an underlying soil or aggregate storage reservoir. Underdrain piping systems are provided to prevent prolonged ponding of stormwater or to collect and convey water to another facility. Rain gardens are less engineered systems that are designed to mitigate water from the sidewalk only and have two inches or less of ponded depth. The drainage structures represented in the GSI points are not all unique to GSI, however, they are specifically part of SPU GSI projects.

            The data is being refreshed weekly.
            ","Allen Grissom","federated_href",null,"biofiltration,bioretention,conveyance,dww,gis,green roof,green storm infrastructure,gsi,modular soil cell,permeable pavement,polygon,rain garden,seattle gis open data,silva cell,spu,surface drainage,surface drainline,swale","https://data.seattle.gov/d/eimm-t4f8","https://data.seattle.gov/resource/eimm-t4f8.json","02/03/2025 06:37:50 PM","08/26/2025 07:01:41 PM","02/03/2025 06:37:50 PM","false","0","0",null,null,null,null,null,null,null,null,null], [350,"fkrr-ejmg","Racial and Social Equity Composite Index Current for Countywide Comparisons","
            !!PLEASE NOTE!! When downloading the data, please select "File Geodatabase" to preserve long field names. Shapefile will truncate field names to 10 characters.

            This version of the Racial and Social Equity Index indexes all tracts in the remainder of King County against tracts in the city of Seattle. This index should only be used in direct consultation with the Office of Planning and Community Development, and is intended to be of use for comparing tracts in the remainder of King County within the context of percentiles set by tracts within the city of Seattle.


            Version: Current

            The Racial and Social Equity Index combines information on race, ethnicity, and related demographics with data on socioeconomic and health disadvantages to identify where priority populations make up relatively large proportions of neighborhood residents. 


            See the City of Seattle RSE Index in action in the Racial and Social Equity Viewer

            The Composite Index includes sub-indices of:   

            Race, English Language Learners, and Origins Index 
            ranks census tracts by an index of three measures weighted as follows:

               Persons of color (weight: 1.0)
             English language learner (weight: 0.5)
              Foreign born (weight: 0.5)

            Socioeconomic Disadvantage Index 
            ranks census tracts by an index of two equally weighted measures:

               Income below 200% of poverty level 
              Educational attainment less than a bachelor’s degree

            Health Disadvantage Index 
            ranks census tracts by an index of seven equally weighted measures:

             No leisure-time physical activity
              Diagnosed diabetes 
               Obesity
             Mental health not good 
              Asthma
            Low life expectancy at birth
             Disability

            U.S. Census Bureau.  For a detailed description of the data included please see the 2020 Census State Redistricting Data Summary File. 
            ","Allen Grissom","federated_href",null,"cra,census 2020,community reporting areas,demographics,gis,planning,redistricting,seattle gis open data","https://data.seattle.gov/d/7mx9-c62n","https://data.seattle.gov/resource/7mx9-c62n.json","02/03/2025 06:38:10 PM","02/27/2025 07:08:33 PM","02/03/2025 06:38:10 PM","false","0","0",null,null,null,null,null,null,null,null,null], [354,"d37t-qxzx","SPU DWW Mainline Detention Polygons","SPU DWW Mainlines is a Group Layer containing all Lifecycles, Ownerships, and other variations of Drainage and Wastewater Mainlines. The Connected Mainlines are symbolized differently in two different layers, one displaying the Permitted Use of the pipe and another displaying the Probable Flow.

            Permitted Use describes the intended use of the pipe, including Sanitary, Combined, or Drainage flows. Probable Flow takes into account upstream pipes and makes an assumption on the type of flow within the pipes.

            Proposed Mainlines are planned but not yet installed or as-built.

            SPU DWW Aba Rem Mainlines refers to Abandoned and Removed Mainlines.

            Force Mainlines are Mainlines under pressure. Detention Lines and Polygons refer to Mainline Detention Infrastructure.

            The data is refreshed weekly and is maintained by the SPU GIS Data Maintenance Team. 
            ","Allen Grissom","federated_href",null,"dww,spu,sewer,seattle gis open data,mainline,drainage,combined","https://data.seattle.gov/d/d37t-qxzx","https://data.seattle.gov/resource/d37t-qxzx.json","02/03/2025 06:38:18 PM","08/20/2025 07:04:33 PM","02/03/2025 06:38:18 PM","false","0","0",null,null,null,null,null,null,null,null,null], [355,"wytm-ezs4","Same Side Tap Only","A grouped feature layer that includes Water Mains, Water Services, Same Side Tap Only and No New Taps layers.

            • Water Mains are large buried pipes that distribute water from a supply source ultimately to customer's service lines. 
            • Water Services are lines representing a water service delivered from a watermain to a property.
            • Same Side Tap Only and No New Taps are water main restrictions which represent the availability or access to water main assets. Same Side Tap Only are lines representing where water services are only allowed to be tapped on one side of the water main. 
            • No New Taps are lines representing water mains where new water services are no longer permitted to tap into the water main.
            This data provides a limited view of Seattle's water infrastructure. For example, the data does not include transmission pipelines or feeder mains for reasons of water system network security. The data may show water mains that are not eligible for new water service connections (e.g., obsolete or "no-tap" water mains).
            ","Allen Grissom","federated_href",null,"mains,no new taps,same side tap only,services,seattle gis open data,water,water main,water services,water mains","https://data.seattle.gov/d/wytm-ezs4","https://data.seattle.gov/resource/wytm-ezs4.json","02/03/2025 06:37:46 PM","08/26/2025 07:01:49 PM","02/03/2025 06:37:46 PM","false","1","0",null,null,null,null,null,null,null,null,null], [356,"vkn4-auus","SPU DWW Ditches and Culverts","
            Ditches are small to moderate depressions that are created to channel water.  Culverts are pipes that are open on both ends that conduct water under a road or railway. 

            Displays data from the feature class DWW.ditch_culvert_ln_pv, SPU DWW Ditches and Culverts uses the following query:  (DCH_LIFECYCLE_CODE IN ( 'C' , 'UNK' , 'T', 'TBC', 'U', 'PC') AND DCH_FEATYPE_CODE IN( 'DCH' , 'CUL' ,'PHM').  SPU DWW Proposed Ditches and Culverts uses the following query:  DCH_LIFECYCLE_CODE = 'PRO' And DCH_FEATYPE_CODE IN ('DCH', 'CUL', 'PHM').  SPU DWW Aba Rem Ditches and Culverts has the following query:  DCH_LIFECYCLE_CODE IN ('A', 'R', 'AT').  This layer does not display when zoomed out beyond 1:7,000.  Labels do not display when zoomed out beyond 1:4800.  Label is based on the attribute DCH_OWNER_CODE.  Maintained by SPU GIS DWW Data Maintenance staff.  

            Refreshed weekly.
            ","Allen Grissom","federated_href",null,"surface drainline,culvert,ditch,dww,public utility,seattle gis open data","https://data.seattle.gov/d/vkn4-auus","https://data.seattle.gov/resource/vkn4-auus.json","02/03/2025 06:38:05 PM","02/27/2025 07:09:07 PM","02/03/2025 06:38:05 PM","false","1","0",null,null,null,null,null,null,null,null,null], [357,"exb7-7w38","LANGUAGE SPOKEN AT HOME FOR THE POPULATION 5 YEARS AND OVER (C16001)","Table from the American Community Survey (ACS) C16001 of language spoken at home for the population 5 years and over. These are multiple, nonoverlapping vintages of the 5-year ACS estimates of population and housing attributes starting in 2010 shown by the corresponding census tract vintage. Also includes the most recent release annually.

            King County, Washington census tracts with nonoverlapping vintages of the 5-year American Community Survey (ACS) estimates starting in 2010. Vintage identified in the "ACS Vintage" field.

            The census tract boundaries match the vintage of the ACS data (currently 2010 and 2020) so please note the geographic changes between the decades. 

            Tracts have been coded as being within the City of Seattle as well as assigned to neighborhood groups called "Community Reporting Areas". These areas were created after the 2000 census to provide geographically consistent neighborhoods through time for reporting U.S. Census Bureau data. This is not an attempt to identify neighborhood boundaries as defined by neighborhoods themselves.

            Vintages: 2010, 2015, 2020, 2021, 2022, 2023
            ACS Table(s): C16001
            Data downloaded from: Seattle City Clerk's Office Geographic Indexing Atlas.  These are the largest neighborhood areas and have been supplemented with alternate names from other sources in 2020.  They are subdivided further into the neighborhood map atlas sub-areas called neighborhoods.  The sub-neighborhoods field contains a comma delimited list of all the sub-areas and their alternate names.

            The original atlas is designed for subject indexing of legislation, photographs, and other documents and is an unofficial delineation of neighborhood boundaries used by the City Clerks Office. Sources for this atlas and the neighborhood names used in it include a 1980 neighborhood map produced by the Department of Community Development, Seattle Public Library indexes, a 1984-1986 Neighborhood Profiles feature series in the Seattle Post-Intelligencer, numerous parks, land use and transportation planning studies, and records in the Seattle Municipal Archives. 

            Many of the neighborhood names are traditional names whose meaning has changed over the years, and others derive from subdivision names or elementary school attendance areas.

            Disclaimer: The Seattle City Clerk's Office Geographic Indexing Atlas is designed for subject indexing of legislation, photographs, and other records in the City Clerk's Office and Seattle Municipal Archives according to geographic area. Neighborhoods are named and delineated in this collection of maps in order to provide consistency in the way geographic names are used in describing records of the Archives and City Clerk, thus allowing precise retrieval of records. The neighborhood names and boundaries are not intended to represent any "official" City of Seattle neighborhood map. 

            The Office of the City Clerk makes no claims as to the completeness, accuracy, or content of any data contained in the Geographic Indexing Atlas; nor does it make any representation of any kind, including, but not limited to, warranty of the accuracy or fitness for a particular use; nor are any such warranties to be implied or inferred with respect to the representations furnished herein. The maps are subject to change for administrative purposes of the Office of the City Clerk. Information contained in the site, if used for any purpose other than as an indexing and search aid for the databases of the Office of the City Clerk, is being used at one's own risk.

            ","Allen Grissom","federated_href",null,"planning,seattle gis open data,gis,neighborhood","https://data.seattle.gov/d/9uf3-nnq3","https://data.seattle.gov/resource/9uf3-nnq3.json","02/03/2025 06:37:29 PM","02/27/2025 07:08:39 PM","02/03/2025 06:37:29 PM","false","0","0",null,null,null,null,null,null,null,null,null], [360,"vgcx-wfte","SDCI Development Sites - Non-Right-of-Way","This is a view of the SDCI Development Sites hosted Feature Layer, filtered to only display sites that are designated as non-rights-of-way.

            Please reference the link above for the full details and refresh schedule.
            ","Allen Grissom","federated_href",null,"development sites,devsites,sdci","https://data.seattle.gov/d/vgcx-wfte","https://data.seattle.gov/resource/vgcx-wfte.json","05/07/2025 07:03:20 PM","08/30/2025 07:03:45 PM","05/07/2025 07:03:20 PM","false","383","0",null,null,null,null,null,null,null,null,null], [361,"55mu-vnrs","SDCI Development Sites - Right-of-Way","This is a view of the SDCI Development Sites hosted Feature Layer, filtered to only display sites that are designated as rights-of-way.

            Please reference the link above for the full details and refresh schedule.
            ","Allen Grissom","federated_href",null,"development sites,devsites,sdci","https://data.seattle.gov/d/55mu-vnrs","https://data.seattle.gov/resource/55mu-vnrs.json","05/07/2025 07:03:20 PM","08/30/2025 07:03:47 PM","05/07/2025 07:03:20 PM","false","381","0",null,null,null,null,null,null,null,null,null], [362,"6ges-8j3v","Public Schools - Absolute % Change","

            This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.

            University of Vermont Spatial Analysis Laboratory

            This dataset consists of City of Seattle Public Schools areas which cover the following tree canopy categories:

            • Existing tree canopy percent
            • Possible tree canopy - vegetation percent
            • Relative percent change
            • Absolute percent change
            For more information, please see the 2021 Tree Canopy Assessment.
            ","Allen Grissom","federated_href",null,"flora,land cover,public schools,seattle,seattle gis open data,sustainability,tree canopy,2016,2021,biota,environment","https://data.seattle.gov/d/6ges-8j3v","https://data.seattle.gov/resource/6ges-8j3v.json","02/03/2025 06:37:17 PM","02/27/2025 07:09:17 PM","02/03/2025 06:37:17 PM","false","0","0",null,null,null,null,null,null,null,null,null], [363,"byua-5edz","Seattle Police Department Beats 2015 - 2017 (Web Mercator)","The Seattle Police Department has different iterations of police beats as the city's needs evolved.  This layer represents what the beats looked like from 2015 to 2017.  
            This layer was published in the WGS 1984 Web Mercator Auxiliary Sphere coordinate system.
            ","Allen Grissom","federated_href",null,"beats,police,web mercator,spd,seattle gis open data,seattle police,wm","https://data.seattle.gov/d/byua-5edz","https://data.seattle.gov/resource/byua-5edz.json","02/03/2025 06:37:16 PM","02/27/2025 07:09:05 PM","02/03/2025 06:37:16 PM","false","1","0",null,null,null,null,null,null,null,null,null], [364,"wxcd-amt2","Absolute % Change","

            This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.

            University of Vermont Spatial Analysis Laboratory in collaboration with City of Seattle.

            This dataset consists of City of Seattle SDOT Urban Forestry Management Units which cover the following tree canopy categories: 

            • Existing tree canopy percent 
            • Possible tree canopy - vegetation percent 
            • Relative percent change 
            • Absolute percent change

            For more information, please see the 2021 Tree Canopy Assessment.

            ","Allen Grissom","federated_href",null,"tree canopy,seattle office of sustainability & environment,seattle gis open data,seattle,land cover,environment,biota,2021,2016","https://data.seattle.gov/d/wxcd-amt2","https://data.seattle.gov/resource/wxcd-amt2.json","02/03/2025 06:38:42 PM","02/27/2025 07:09:14 PM","02/03/2025 06:38:42 PM","false","400","0",null,null,null,null,null,null,null,null,null], [365,"8nw7-zyn6","SPU DWW Aba Rem Underdrains & Rain Gardens","The DWW (Drainage and Waste Water) GSI (Green Stormwater Infrastructure) layer consists of line and polygon representations of the following features: Swales (biofiltration, bioretention, biofiltration/bioretention, and conveyance) are generally shallow depressions with a designed mix of soil and plants which break down pollutants through natural processes while reducing runoff. Permeable pavement is a paving system which allows rainfall to percolate into an underlying soil or aggregate storage reservoir. Underdrain piping systems are provided to prevent prolonged ponding of stormwater or to collect and convey water to another facility. Rain gardens are less engineered systems that are designed to mitigate water from the sidewalk only and have two inches or less of ponded depth. The drainage structures represented in the GSI points are not all unique to GSI, however, they are specifically part of SPU GSI projects.

            The data is being refreshed weekly.
            ","Allen Grissom","federated_href",null,"biofiltration,rain garden,spu,silva cell,seattle gis open data,conveyance,dww,green storm infrastructure,gsi,bioretention,modular soil cell,swale,permeable pavement,surface drainline,surface drainage,polygon,gis,green roof","https://data.seattle.gov/d/8nw7-zyn6","https://data.seattle.gov/resource/8nw7-zyn6.json","02/03/2025 06:37:49 PM","08/26/2025 07:01:47 PM","02/03/2025 06:37:49 PM","false","0","0",null,null,null,null,null,null,null,null,null], [366,"xh5m-edpz","Proposed Surface Drainage Points","Surface drainage points are structures that help direct rainwater in the City’s sub-surface pipe drainage system. The informal drainage system makes up nearly one-third of the City of Seattle footprint. This layer displays connected surface drainage points, regardless of ownership, that cannot be found in other layers.  For example, Catch Basins, Junction Boxes, Sandboxes, and Inlets are not included.  The data source is DWW.surface_drainline_pt_pv with the following data query:  SDP_LIFECYCLE_TEXT IN ( 'Connected' , 'Unknown' , 'Temporary' ,'To Be Connected', 'Under Construction', 'Provisionally Connected', 'Proposed', 'Abandoned', 'Abandoned Temporary', 'Removed') AND SDP_FEA_TYPE_TEXT IN ( 'Area Drain;Area Way;Driveway Drain' ,'Cleanout', 'Flow Control MH' , 'Infall' , 'Maintenance Hole' , 'Overflow MH' , 'Other' , 'Rubber Coupler' , 'Reducer' , 'Surface Cleanout' , 'Sedimentation Chamber;Sand Catcher;Sand Trap' , 'Stand Pipe' ,  'Weephole', 'Catch Basin MH', 'Vault', 'Underground Injection Cell; Drilled Drain')
            This layer does not display when zoomed out beyond 1:2,000.  Labels are based on the attribute SDP_ASSET_ID and only display when zoomed in to 1:1,000 or closer.  Only SPU owned assets will have a label.

            Refreshed weekly.
            ","Allen Grissom","federated_href",null,"infall,weephole,vault,underground injection cell; drilled drain,surface drainage points,surface cleanout,stand pipe,sedimentations chamber;sand catcher;sand trap,seattle gis open data,overflow mh,outfall,maintenance hole,flow control mh,driveway drain,cleanout,catch basin mh,area way,area drain","https://data.seattle.gov/d/xh5m-edpz","https://data.seattle.gov/resource/xh5m-edpz.json","02/03/2025 06:37:55 PM","08/26/2025 07:01:58 PM","02/03/2025 06:37:55 PM","false","0","0",null,null,null,null,null,null,null,null,null], [367,"v29m-enhz","Rent Burden Greater than 50%","
            Displacement risk indicator showing how many households within the specified groups are facing severely housing cost burden (contributing more than 50% of monthly income toward housing costs).
            ","Allen Grissom","federated_href",null,"planning,hdri,gis,seattle gis open data,ipums","https://data.seattle.gov/d/v29m-enhz","https://data.seattle.gov/resource/v29m-enhz.json","10/22/2024 09:12:14 PM","01/31/2025 07:27:39 PM","10/22/2024 09:12:14 PM","false","0","0",null,null,null,null,null,null,null,null,null], [368,"4byh-swtb","SPU DWW Force Mainline End Points","SPU DWW Mainline Points is a Group Layer containing all Lifecycles, Ownerships, and other variations of Drainage and Wastewater Mainlines Points.

            Proposed Mainline End Points are planned but not yet installed or as-built.

            SPU DWW Aba Rem Mainline End Points refers to Abandoned and Removed Mainline End Points.

            Force Mainline End Points are Mainline End Points under pressure. Detention Lines and Polygons refer to Mainline End Points for Detention Infrastructure.

            DWW Mainline Connection Points Wyes refer to side sewer and lateral connection points on mainlines.

            The data is refreshed weekly and is maintained by the SPU GIS Data Maintenance Team. 
            ","Allen Grissom","federated_href",null,"sewer,seattle gis open data,external,endpoints,dww,points,mainline,spu","https://data.seattle.gov/d/4byh-swtb","https://data.seattle.gov/resource/4byh-swtb.json","02/03/2025 06:38:15 PM","08/31/2025 07:04:13 PM","02/03/2025 06:38:15 PM","false","0","0",null,null,null,null,null,null,null,null,null], [369,"wps7-2x5k","Tree Canopy % and Average Max Afternoon Temp (F)","
            This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.

            University of Vermont Spatial Analysis Laboratory

            This dataset consists of hexagons 50-acres in area, or several city blocks. The dataset covers the following tree canopy categories:
            • Existing tree canopy percent
            • Possible tree canopy - vegetation percent
            • Relative percent change
            • Absolute percent change
            • Average maximum afternoon temperature (F)
            • Tree canopy percentage & average afternoon temperature (F)
            For more information, please see the 2021 Tree Canopy Assessment.
            ","Allen Grissom","federated_href",null,"2021,washington,vegetation,king,hexagons,environment,canopy,biota,tree,temperature,seattle gis open data,seattle,percent change","https://data.seattle.gov/d/wps7-2x5k","https://data.seattle.gov/resource/wps7-2x5k.json","02/03/2025 06:38:39 PM","02/27/2025 07:08:28 PM","02/03/2025 06:38:39 PM","false","0","0",null,null,null,null,null,null,null,null,null], [370,"wpvf-hspg","Urban Centers and Villages Growth Monitoring Table","

            Growth data for housing units and employment for the growth areas, urban centers and villages, for the City of Seattle Comprehensive Plan. This is a stand alone table that includes non-spatial records.

            Housing unit growth is reported quarterly from the city's permitting system while employment change is reported annually from the State of Washington QCEW data.

            ","Allen Grissom","federated_href",null,"planning,seattle gis open data,gis,employment,comp plan,ucuvmonitordashb,housing units","https://data.seattle.gov/d/wpvf-hspg","https://data.seattle.gov/resource/wpvf-hspg.json","02/03/2025 06:38:09 PM","07/03/2025 07:01:40 PM","02/03/2025 06:38:09 PM","false","0","0",null,null,null,null,null,null,null,null,null], [371,"8uhm-aczz","Elementary School Attendance Areas 2023-2024","

            An attendance area school is one to which elementary, middle and high-school students are assigned based on where they live, as long as the school offers the services the student needs.

            This dataset is maintained by Seattle Public Schools.

            For questions, please contact enrollmentplanning@seattleschools.org

            ","Allen Grissom","federated_href",null,"elementary,gis,seattle gis open data,public school,sps,schools,2024,attendance,seattle public schools","https://data.seattle.gov/d/8uhm-aczz","https://data.seattle.gov/resource/8uhm-aczz.json","02/03/2025 06:38:16 PM","02/27/2025 07:08:25 PM","02/03/2025 06:38:16 PM","false","0","0",null,null,null,null,null,null,null,null,null], [372,"7wzr-sner","Attached Accessory Dwelling Units (AADUs)","

            Permit records from the City of Seattle permitting system for building permits that create or demolish attached accessory dwelling units (AADU). Records begin in 1990 and are through the current year quarter.

            The permits in this layer are those that have either been completed or are currently issued. This data does not contain records for those permits that were issued but were not completed so are therefore not comparable to statistics that report permit issuance.

            Each record represents the number of units added or demolished for each housing type in the project. Therefore a single building permit may appear multiple times if there are a mix of unit types in the project.

            Housing unit types reflect the unit types regulated by the building codes and change through time. There has been no attempt to standardize these types and therefore reflect the unit types that existed at the time the permit was issued.  Unit types will be visible only for the time period they were in the code. For example, small efficiency dwelling units were not created in the code until 2016 and so will not appear as a type until that year.

            There may be multiple permits at any given address.

            ","Allen Grissom","federated_href",null,"adu,aduapp,gis,housing units,permits,planning,seattle gis open data","https://data.seattle.gov/d/7wzr-sner","https://data.seattle.gov/resource/7wzr-sner.json","02/03/2025 06:38:10 PM","08/20/2025 07:04:34 PM","02/03/2025 06:38:10 PM","false","0","0",null,null,null,null,null,null,null,null,null], [373,"jcsg-6kwy","DWW Pump Stations","

            Contains business data for drainage and waste water (DWW) pump stations. A pump station is a facility that includes pumps and other equipment that is used to move fluids from one location to another.  The graphic is not a footprint of the physical structure.  Data source is DWW.pump_station_plgn_pv with the following query, PS_LIFECYCLE_CODE IN ('C', 'PC', 'UNK', 'T', 'TBC', 'U').  Data is symbolized on the attribute OWNER_CODE and does not display when zoomed out beyond 1:50,000.   Label is based on EQNUM.

            Refreshed weekly.  Maintained by SPU GIS DWW Data Maintenance staff.

            ","Allen Grissom","federated_href",null,"dww,pump station,seattle gis open data","https://data.seattle.gov/d/jcsg-6kwy","https://data.seattle.gov/resource/jcsg-6kwy.json","02/03/2025 06:38:04 PM","08/26/2025 07:02:11 PM","02/03/2025 06:38:04 PM","false","0","0",null,null,null,null,null,null,null,null,null], [374,"bbn8-xxym","SPU DWW Permeable Pavement","The DWW (Drainage and Waste Water) GSI (Green Stormwater Infrastructure) layer consists of line and polygon representations of the following features: Swales (biofiltration, bioretention, biofiltration/bioretention, and conveyance) are generally shallow depressions with a designed mix of soil and plants which break down pollutants through natural processes while reducing runoff. Permeable pavement is a paving system which allows rainfall to percolate into an underlying soil or aggregate storage reservoir. Underdrain piping systems are provided to prevent prolonged ponding of stormwater or to collect and convey water to another facility. Rain gardens are less engineered systems that are designed to mitigate water from the sidewalk only and have two inches or less of ponded depth. The drainage structures represented in the GSI points are not all unique to GSI, however, they are specifically part of SPU GSI projects.

            The data is being refreshed weekly.
            ","Allen Grissom","federated_href",null,"conveyance,biofiltration,green roof,green storm infrastructure,modular soil cell,silva cell,seattle gis open data,gsi,spu,surface drainage,surface drainline,swale,rain garden,polygon,permeable pavement,gis,dww,bioretention","https://data.seattle.gov/d/bbn8-xxym","https://data.seattle.gov/resource/bbn8-xxym.json","02/03/2025 06:37:51 PM","08/26/2025 07:02:21 PM","02/03/2025 06:37:51 PM","false","0","0",null,null,null,null,null,null,null,null,null], [375,"mrsx-uwt6","Contour Lines 1993","
            Updated contours from 2021 here.

            A line feature class showing 2 ft. and 10 ft. elevation contours. Derived from 1993 digital orthophotos - has not been updated.

            Because of the size of this dataset, we do not recommend trying to download it. Please use as a service. If you need a particular area extracted, please use this form to make a request:
            ","Allen Grissom","federated_href",null,"orthophotos,elevation,wm_cgdb_contour1993_ln,wa,terrain and environmental,seattlepublicuse,seattle gis open data,seattle contours,seattlecitygis,seattle,boundaries,contours,cosgis,dso,gis","https://data.seattle.gov/d/mrsx-uwt6","https://data.seattle.gov/resource/mrsx-uwt6.json","02/03/2025 06:38:37 PM","08/12/2025 07:04:24 PM","02/03/2025 06:38:37 PM","false","0","0",null,null,null,null,null,null,null,null,null], [376,"svqd-7x9d","2020 Census Tract Seattle - Redistricting Data 1990-2020","Census 2020 Tracts with selected 1990, 2000, 2010, 2020 P.L. 94-171 redistricting data - includes a row for city totals.

            For more information about the P.L. 94-171 redistricting data, please visit the U.S. Census Bureau.  For a detailed description of the data included please see the 2020 Census State Redistricting Data Summary File. 
            ","Allen Grissom","federated_href",null,"tracts,seattle gis open data,redistricting,planning,gis,demographics,census tracts,census 2020","https://data.seattle.gov/d/svqd-7x9d","https://data.seattle.gov/resource/svqd-7x9d.json","02/03/2025 06:37:23 PM","02/27/2025 07:08:51 PM","02/03/2025 06:37:23 PM","false","0","0",null,null,null,null,null,null,null,null,null], [377,"x7ce-2nfk","SPR Trails","

            Seattle Parks and Recreation Park Trails.  The trails are SPR managed trails within SPR owner parks.  The trails inventory is not complete.


            Refresh Cycle: Weekly on Mondays

            ","Allen Grissom","federated_href",null,"trail,spr,seattle gis open data,trails\nspr\ntrail","https://data.seattle.gov/d/x7ce-2nfk","https://data.seattle.gov/resource/x7ce-2nfk.json","02/03/2025 06:38:37 PM","02/27/2025 07:08:12 PM","02/03/2025 06:38:37 PM","false","0","0",null,null,null,null,null,null,null,null,null], [378,"ymta-qhsz","Relative % Change","

            This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.

            University of Vermont Spatial Analysis Laboratory in collaboration with City of Seattle.

            This dataset consists of City of Seattle SDOT Urban Forestry Management Units which cover the following tree canopy categories: 

            • Existing tree canopy percent 
            • Possible tree canopy - vegetation percent 
            • Relative percent change 
            • Absolute percent change

            For more information, please see the 2021 Tree Canopy Assessment.

            ","Allen Grissom","federated_href",null,"environment,2016,2021,biota,land cover,seattle,seattle gis open data,seattle office of sustainability & environment,tree canopy","https://data.seattle.gov/d/ymta-qhsz","https://data.seattle.gov/resource/ymta-qhsz.json","02/03/2025 06:38:42 PM","02/27/2025 07:08:25 PM","02/03/2025 06:38:42 PM","false","499","0",null,null,null,null,null,null,null,null,null], [379,"4ad9-xqxr","SPU DWW Proposed Mainline End Points","SPU DWW Mainline Points is a Group Layer containing all Lifecycles, Ownerships, and other variations of Drainage and Wastewater Mainlines Points.

            Proposed Mainline End Points are planned but not yet installed or as-built.

            SPU DWW Aba Rem Mainline End Points refers to Abandoned and Removed Mainline End Points.

            Force Mainline End Points are Mainline End Points under pressure. Detention Lines and Polygons refer to Mainline End Points for Detention Infrastructure.

            DWW Mainline Connection Points Wyes refer to side sewer and lateral connection points on mainlines.

            The data is refreshed weekly and is maintained by the SPU GIS Data Maintenance Team. 
            ","Allen Grissom","federated_href",null,"dww,spu,sewer,seattle gis open data,points,mainline,external,endpoints","https://data.seattle.gov/d/4ad9-xqxr","https://data.seattle.gov/resource/4ad9-xqxr.json","02/03/2025 06:38:15 PM","08/31/2025 07:04:12 PM","02/03/2025 06:38:15 PM","false","0","0",null,null,null,null,null,null,null,null,null], [380,"cbn6-xibg","Bike Plus Network","
            The Bicycle and E-Mobility Element of the STP will help create a safer, more bikeable Seattle. It provides a foundation for the City of Seattle to grow our investment in bicycling and e-mobility to achieve STP goals. The STP and the Bicycle and E-Mobility Element build on and supersede the 2014 Bicycle Master Plan (BMP). The bicycle and e-mobility network serves not only people riding traditional bicycles, but also people using adaptive bikes, cargo bicycles for both personal use and deliveries, trikes, scooters, skateboards, roller skates, wheelchairs or other wheeled mobility devices, and “e-mobility” devices, which refers to personal and shared electric-powered bicycles, scooters, and other electric-powered devices. It serves people bicycling and taking e-mobility to serve a variety of trip purposes, such as getting to work, school, transit, the gym or doctor's office, recreating, making urban goods deliveries, and more.

            The Bike+ network consists of bikeways suitable for people of all ages and abilities (AAA), including protected bike lanes, Neighborhood Greenways, Healthy Streets, and bike lanes where vehicle speeds and volumes are sufficiently low.  

            The Bike+ network is envisioned to seamlessly integrate with the multi-use trail network, which provides connections through or on the edges of parks and opens spaces, where an off-street connection is preferred, or is more feasible than an on-street connection.  

            Diagram of an umbrella titled "What is Bike+?" Underneath the umbrella, the following are bulleted - protected bike lane, bike lane (if vehicle speed and volumes low. See Table 4), neighborhood greenway, and healthy street.  Many planned projects from the 2014 BMP have been implemented and are shown on the existing bicycle and e-mobility network map. The Bike+ network shows existing and proposed AAA bikeways on Seattle’s arterial and non-arterial (i.e., neighborhood streets) networks.

            Refresh Cycle: None, Static. Manually as required.
            • Original Publish: 5/23/2024
            • Update Publish: 7/11/2024 per Policy and Planning team
            Contact: Policy and Planning team
            ","Allen Grissom","federated_href",null,"aaa network,gis,sdot,seattle gis open data,seattle transportation plan,e-mobility,bike+,bicycle element,bicycle,stp","https://data.seattle.gov/d/cbn6-xibg","https://data.seattle.gov/resource/cbn6-xibg.json","02/03/2025 06:37:56 PM","02/27/2025 07:08:12 PM","02/03/2025 06:37:56 PM","false","0","0",null,null,null,null,null,null,null,null,null], [381,"j6wu-g7sb","Customer Service Center","Seattle has seven Customer Service Centers and one mobile unit located throughout the city. These "little city halls", formerly known as neighborhood service centers, are where you can go to find information about Seattle services and programs. In addition, they provide payment and information services with customer service representatives assisting more than 225,000 residents each year to obtain pet licenses, pay City Light and Combined Utility bills, pay traffic tickets, apply for U.S. passports (except the downtown SMT Customer Service Center), or to find information about City of Seattle jobs. See website for more information.

            Displays data from DON.CSTMRSRVCCNTRS. Labels are based on the attribute NAME.

            Updated as needed, last update August 2022.","Allen Grissom","federated_href",null,"seattle services,seattle gis open data,neighborhood,gis,community","https://data.seattle.gov/d/j6wu-g7sb","https://data.seattle.gov/resource/j6wu-g7sb.json","02/03/2025 06:38:12 PM","02/27/2025 07:09:11 PM","02/03/2025 06:38:12 PM","false","1","0",null,null,null,null,null,null,null,null,null], [382,"ee2n-q642","Existing Tree Canopy %","
            This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.

            University of Vermont Spatial Analysis Laboratory

            This dataset consists of hexagons 50-acres in area, or several city blocks. The dataset covers the following tree canopy categories:
            • Existing tree canopy percent
            • Possible tree canopy - vegetation percent
            • Relative percent change
            • Absolute percent change
            • Average maximum afternoon temperature (F)
            • Tree canopy percentage & average afternoon temperature (F)
            For more information, please see the 2021 Tree Canopy Assessment.
            ","Allen Grissom","federated_href",null,"2021,biota,canopy,environment,hexagons,king,percent change,seattle,seattle gis open data,temperature,tree,vegetation,washington","https://data.seattle.gov/d/ee2n-q642","https://data.seattle.gov/resource/ee2n-q642.json","02/03/2025 06:38:38 PM","02/27/2025 07:09:07 PM","02/03/2025 06:38:38 PM","false","0","0",null,null,null,null,null,null,null,null,null], [383,"h66v-hiux","Community Reporting Areas","
            Please Note:  Community Reporting Areas (CRA) have been updated to follow the 2020 census tract lines which resulted in minor changes to some boundary conditions.  They have also been extended into water areas to allow the assignment of CRAs to overwater housing and businesses.  To exclude the water polygons from a map choose the filter, water=0.

            Community reporting areas (CRAs) are designed to address a gap that existed in city geography. The task of reporting citywide information at a "community-like level" across all departments was either not undertaken or it was handled in inconsistent ways across departments. 

            The CRA geography provides a "common language" for geographic description of the city for reporting purposes. Therefore, this geography may be used by departments for geographic reporting and tracking purposes, as appropriate.  The U.S. Census Bureau census tract geography was chosen as the basis of the CRA geography due to their stability through time and link to widely-used demographic data.

            The following criteria for a CRA geography were defined for this effort:
            • no overlapping areas
            • complete coverage of the city
            • suitable scale to represent neighborhood areas/conditions
            • reasonably stable over time
            • consistent with census geography
            • relatively easy to use in a data context
            • familiar system of common place names
            • respects neighborhood district geography to the extent possible
            The following existing geographies were reviewed during this effort:
            • neighborhood planning areas (DON)
            • neighborhood districts (DON/CNC/Neighborhood District Councils)
            • city sectors/neighborhood plan implementation areas (DON)
            • urban centers/urban villages (DPD)
            • population sub-areas (DPD)
            • Neighborhood Map Atlas (City Clerk)
            • Census tract geography
            • topography
            • various other geographic information sources related to neighborhood areas and common place names
            This is not an attempt to identify neighborhood boundaries as defined by neighborhoods themselves.
            ","Allen Grissom","federated_href",null,"community reporting area,cra,gis,neighborhoods,planning,seattle gis open data","https://data.seattle.gov/d/h66v-hiux","https://data.seattle.gov/resource/h66v-hiux.json","02/03/2025 06:37:24 PM","05/07/2025 07:04:00 PM","02/03/2025 06:37:24 PM","false","0","0",null,null,null,null,null,null,null,null,null], [384,"74h9-s2th","Single-Family Home Sale Prices by Census Tract","Displacement risk indicator classifying census tracts according to \nsingle-family home sale prices in census tracts where at least 100 single-family homes exist. We classify arms-length transactions only along two dimensions:
            1. The median price of sales within the \ncensus tract for the specified year, balancing between nominal sale \nprice and sale price per square foot.
            2. The change in median sale price (again balanced between nominal sale price and price per square foot) from the previous year.
            ","Allen Grissom","federated_href",null,"gis,hdri,king county assessor,planning,seattle gis open data","https://data.seattle.gov/d/74h9-s2th","https://data.seattle.gov/resource/74h9-s2th.json","02/03/2025 06:38:38 PM","05/07/2025 07:03:55 PM","02/03/2025 06:38:38 PM","false","0","0",null,null,null,null,null,null,null,null,null], [385,"4bkx-xp77","DISABILITY CHARACTERISTICS (S1810)","
            Table from the American Community Survey (ACS) S1810 disability characteristics by age. These are multiple, nonoverlapping vintages of the 5-year ACS estimates of population and housing attributes starting in 2015 shown by the corresponding census tract vintage. Also includes the most recent release annually.

            King County, Washington census tracts with nonoverlapping vintages of the 5-year American Community Survey (ACS) estimates starting in 2010. Vintage identified in the "ACS Vintage" field.

            The census tract boundaries match the vintage of the ACS data (currently 2010 and 2020) so please note the geographic changes between the decades. 

            Tracts have been coded as being within the City of Seattle as well as assigned to neighborhood groups called "Community Reporting Areas". These areas were created after the 2000 census to provide geographically consistent neighborhoods through time for reporting U.S. Census Bureau data. This is not an attempt to identify neighborhood boundaries as defined by neighborhoods themselves.

            Vintages: 2015, 2020, 2021, 2022, 2023
            ACS Table(s): S1810
            Data downloaded from: Census Bureau's Explore Census Data 


            The United States Census Bureau's American Community Survey (ACS):
            ","Allen Grissom","federated_href",null,"buildable lands,capacity,capacity model 2016,devcapapp,development,gis,planning,seattle gis open data,zoned capacity,zoning","https://data.seattle.gov/d/vckc-k5ef","https://data.seattle.gov/resource/vckc-k5ef.json","02/03/2025 06:37:28 PM","02/27/2025 07:08:26 PM","02/03/2025 06:37:28 PM","false","0","0",null,null,null,null,null,null,null,null,null], [387,"2d2n-kvdy","Building Outlines 2023"," Hand Drawn Building Outlines derived from King County 2023 ortho imagery by Eagleview Corp.","Allen Grissom","federated_href",null,"2023,buildings","https://data.seattle.gov/d/2d2n-kvdy","https://data.seattle.gov/resource/2d2n-kvdy.json","02/03/2025 06:38:34 PM","04/24/2025 07:03:16 PM","02/03/2025 06:38:34 PM","false","0","0",null,null,null,null,null,null,null,null,null], [388,"d2c7-tkpy","Languages and English Ability - Seattle Neighborhoods","Table from the American Community Survey (ACS) 5-year series on languages spoken and English ability related topics for City of Seattle Council Districts, Comprehensive Plan Growth Areas and Community Reporting Areas. Table includes B16004 Age by Language Spoken at Home by Ability to Speak English, C16002 Household Language by Household Limited English-Speaking Status. Data is pulled from block group tables for the most recent ACS vintage and summarized to the neighborhoods based on block group assignment.

            Table created for and used in the Neighborhood Profiles application.

            Vintages: 2023
            ACS Table(s): B16004, C16002
            Data downloaded from: Census Bureau's Explore Census Data 


            The United States Census Bureau's American Community Survey (ACS):
            This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census and ACS when using this data.

            Data Note from the Census:
            Data are based on a sample and are subject to sampling variability. The degree of uncertainty for","Allen Grissom","federated_href",null,"acs,acs-bg,american community survey,census,census block groups,demographics,gis,languages spoken,limited english ability,limited english households,planning,seattle gis open data","https://data.seattle.gov/d/d2c7-tkpy","https://data.seattle.gov/resource/d2c7-tkpy.json","10/22/2024 09:12:42 PM","01/31/2025 07:27:37 PM","10/22/2024 09:12:42 PM","false","0","0",null,null,null,null,null,null,null,null,null], [389,"p9qy-t26h","Built Units Since 2010","

            Permit records from the City of Seattle permitting system for building permits that create or demolish housing units. Records begin from the beginning of the previous decade from the current quarter year.

            The permits in this layer are those that have been completed. This data does not contain records for those permits that were issued but were not completed so are therefore not comparable to statistics that report permit issuance.

            Each record represents the number of units added or demolished for each housing type in the project. Therefore a single building permit may appear multiple times if there are a mix of unit types in the project.

            Housing unit types reflect the unit types regulated by the building codes and change through time. There has been no attempt to standardize these types and therefore reflect the unit types that existed at the time the permit was issued.

            There may be multiple permits at any given address.

            ","Allen Grissom","federated_href",null,"gis,housing units,permits,planning,seattle gis open data","https://data.seattle.gov/d/p9qy-t26h","https://data.seattle.gov/resource/p9qy-t26h.json","02/03/2025 06:37:25 PM","08/20/2025 07:04:59 PM","02/03/2025 06:37:25 PM","false","0","0",null,null,null,null,null,null,null,null,null], [390,"45qc-3pej","Residents Eligible for Restricted Parking Zone Permits","Displays Restricted Parking Zone Areas maintained by the Seattle Department of Transportation. This is a group layer consisting of the following layers:
            • Restricted Parking Zone Signed Blocks (V_RPZ)
            • Residents Eligible for Restricted Parking Zone Permits (V_Blockface, Def Query: Parking_Category <> 'None')
            • Restricted Parking Zone A or B Husky Game Days (RPZ_AreasAorB)
            • Restricted Parking Zones (RPZ_AreasNotAorB)
            Refresh Cycle: Daily
            ","Allen Grissom","federated_href",null,"common data layers,rpz,restricted parking zone areas,sdot,seattle gis open data,transportation","https://data.seattle.gov/d/45qc-3pej","https://data.seattle.gov/resource/45qc-3pej.json","02/03/2025 06:37:41 PM","09/01/2025 07:03:42 PM","02/03/2025 06:37:41 PM","false","1","0",null,null,null,null,null,null,null,null,null], [391,"wvbx-ut2t","Gardens","Gardens in Seattle Parks.

            Refresh Cycle: Weekly

            Feature Class: DPR.Gardens
            ","Allen Grissom","federated_href",null,"common data layers,gardens,parks,seattle gis open data,spr","https://data.seattle.gov/d/wvbx-ut2t","https://data.seattle.gov/resource/wvbx-ut2t.json","02/03/2025 06:38:29 PM","09/01/2025 07:03:31 PM","02/03/2025 06:38:29 PM","false","0","0",null,null,null,null,null,null,null,null,null], [392,"gzk2-d4mc","TransverseMarkings","View of Channelization data represents roadway paint lines, curbs, and other markings that delineate traffic lanes, bike routes, bus zones, etc. which are critical for public safety.

            Common Data Layer: Common data layer created from a read only view from this feature layer. It is owned by SDOT Transportation account and will be made available in Open Data.

            Refresh Cycle: None, Dynamic via AutoCAD updates

            Channelization data consists of the following layers:
            1. Vertical Elements
            2. Lane Widths
            3. Panel Markings
            4. Longitudinal Markings
            5. Transverse Markings
            6. Legend and Symbols
            7. General Background
            ","Allen Grissom","federated_href",null,"channelization,sdot,seattle gis open data","https://data.seattle.gov/d/gzk2-d4mc","https://data.seattle.gov/resource/gzk2-d4mc.json","02/03/2025 06:37:22 PM","08/29/2025 07:04:39 PM","02/03/2025 06:37:22 PM","false","1","0",null,null,null,null,null,null,null,null,null], [393,"sjpd-5bt6","Inlets","This layer displays all the catch basins, catch basin grated tops, sandboxes, junction boxes, inlets and trash racks within the City of Seattle (and the former service area north of the City limits) regardless of ownership.
            A catch basin is a connector to the storm drain system that typically includes an inlet where stormwater enters the catch basin and a sump to capture sediment, debris, and associated pollutants prior to the surface water flowing into a storm or sewer pipe. There are two main types of inlets: side inlets and grated inlets.  Side inlets are located adjacent to the curb and rely on the ability of the opening under the curb to capture flow. Grated inlets have gratings or metal grids to prevent large objects and debris from falling into the combined sewer or drainage system.  They collect surface runoff for conveyance in a pipe system. Sandboxes have wooden lids and are filled with sand or gravel and drain directly into the ground or to a culvert as part of the informal drainage system. Sandboxes are no longer being installed. Junction boxes are cement structure with a grated metal lid, shallow in depth, generally connect culverts and are inline as part of the informal ditch and culvert system.  Trash racks are grated structures that collect debris. Trash racks may be on maintenance holes, catch basins, other structures, or streams.
            Data source is DWW.catch_basin_pt_pv, and DWW.APPURTENANCE_PT_PV. Maintained by SPU GIS DWW Data Maintenance staff. This layer does not display when zoomed out beyond 1:899.

            Refreshed daily.
            ","Allen Grissom","federated_href",null,"appurtenance point,catch basin,catch basin - grated top,cb,cbl,inl,inlet,jb,jbs,junction box,junction box with sump,sandbox,sb,seattle gis open data,trash racks,trr","https://data.seattle.gov/d/sjpd-5bt6","https://data.seattle.gov/resource/sjpd-5bt6.json","02/03/2025 06:38:07 PM","09/01/2025 07:03:56 PM","02/03/2025 06:38:07 PM","false","0","0",null,null,null,null,null,null,null,null,null], [394,"6ee4-e74w","Exercise Equipment","Seattle Parks and Recreation Exercise Equipment Locations and Inventory. Locations of Exercise Equipment within the Seattle Parks System. These are outdoor exercise equipment for public use. The Exercise Equipment inventory contains type of exercise equipment and manufacture.

            Refresh Cycle: Weekly

            Feature Class: DPR.EAM_Exercise_Equipment_PT
            ","Allen Grissom","federated_href",null,"common data layers,exercise equipment,parks,seattle gis open data,spr","https://data.seattle.gov/d/6ee4-e74w","https://data.seattle.gov/resource/6ee4-e74w.json","02/03/2025 06:38:29 PM","09/01/2025 07:03:37 PM","02/03/2025 06:38:29 PM","false","0","0",null,null,null,null,null,null,null,null,null], [395,"wraq-yxwb","Curb Ramps","Curb ramps provide access to the sidewalk system at street crossings and are usually located at intersections. Curb ramps may also be located mid-block.

            Displays curb ramps maintained by the Seattle Department of Transportation.

            Views: Link, which adds the recommended filter for general use of the dataset: 'CURRENT_STATUS IN(INSVC, PLNRECON) OR CURRENT_STATUS is empty string'

            Refresh Cycle: Daily

            Feature Class: SDOT.V_CURBRAMPS
            ","Allen Grissom","federated_href",null,"common data layers,curb ramps,sdot,seattle gis open data,transportation","https://data.seattle.gov/d/wraq-yxwb","https://data.seattle.gov/resource/wraq-yxwb.json","02/03/2025 06:37:42 PM","09/01/2025 07:03:53 PM","02/03/2025 06:37:42 PM","false","0","0",null,null,null,null,null,null,null,null,null], [396,"krrq-gigr","Signal Interconnects","Displays signal interconnects maintained by the Seattle Department of Transportation.

            Refresh Cycle: Daily

            Feature Class: SDOT.SignalInterconnect
            ","Allen Grissom","federated_href",null,"common data layers,sdot,seattle gis open data,signal interconnects,transportation","https://data.seattle.gov/d/krrq-gigr","https://data.seattle.gov/resource/krrq-gigr.json","02/03/2025 06:37:36 PM","09/01/2025 07:03:35 PM","02/03/2025 06:37:36 PM","false","0","0",null,null,null,null,null,null,null,null,null], [397,"jcra-v6bt","Boat Ramps","Public Motorized and Non-motorized boat launch in the City of Seattle. The boat launches are only Seattle Parks and and Recreation operated launches. The boat launches don't include private or other City Agency boat launches.

            Refresh Cycle: Weekly

            Feature Class: DPR.BoatRamps
            ","Allen Grissom","federated_href",null,"boat ramps,common data layers,parks,seattle gis open data,spr","https://data.seattle.gov/d/jcra-v6bt","https://data.seattle.gov/resource/jcra-v6bt.json","02/03/2025 06:38:30 PM","09/01/2025 07:03:46 PM","02/03/2025 06:38:30 PM","false","0","0",null,null,null,null,null,null,null,null,null], [398,"6wdw-c4ss","Streetcar Stations","Streetcar Stations in Seattle.  Contains stations/stops on the South Lake Union and First Hill Line.  

            Displays streetcar stations maintained by the Seattle Department of Transportation.

            Refresh Cycle: Daily

            Feature Class: SDOT.StreetcarStations
            ","Allen Grissom","federated_href",null,"common data layers,sdot,seattle gis open data,streetcar stations,transportation","https://data.seattle.gov/d/6wdw-c4ss","https://data.seattle.gov/resource/6wdw-c4ss.json","02/03/2025 06:37:35 PM","09/01/2025 07:03:33 PM","02/03/2025 06:37:35 PM","false","0","0",null,null,null,null,null,null,null,null,null], [399,"hkg4-ziqf","Parklets","Displays parklets maintained by the Seattle Department of Transportation.

            Refresh Cycle: Daily

            Feature Class: SDOT.Parklets
            ","Allen Grissom","federated_href",null,"common data layers,parklets,sdot,seattle gis open data,transportation","https://data.seattle.gov/d/hkg4-ziqf","https://data.seattle.gov/resource/hkg4-ziqf.json","02/03/2025 06:37:39 PM","09/01/2025 07:03:30 PM","02/03/2025 06:37:39 PM","false","0","0",null,null,null,null,null,null,null,null,null], [400,"9h8m-6e4c","LaneWidth","View of Channelization data represents roadway paint lines, curbs, and other markings that delineate traffic lanes, bike routes, bus zones, etc. which are critical for public safety.

            Common Data Layer: Common data layer created from a read only view from this feature layer. It is owned by SDOT Transportation account and will be made available in Open Data.

            Refresh Cycle: None, Dynamic via AutoCAD updates

            Channelization data consists of the following layers:
            1. Vertical Elements
            2. Lane Widths
            3. Panel Markings
            4. Longitudinal Markings
            5. Transverse Markings
            6. Legend and Symbols
            7. General Background
            ","Allen Grissom","federated_href",null,"channelization,sdot,seattle gis open data","https://data.seattle.gov/d/9h8m-6e4c","https://data.seattle.gov/resource/9h8m-6e4c.json","02/03/2025 06:37:21 PM","08/29/2025 07:04:41 PM","02/03/2025 06:37:21 PM","false","0","0",null,null,null,null,null,null,null,null,null], [401,"7qy7-g77n","Aba Rem Sandboxes and Junction Boxes","This layer displays all the catch basins, catch basin grated tops, sandboxes, junction boxes, inlets and trash racks within the City of Seattle (and the former service area north of the City limits) regardless of ownership.
            A catch basin is a connector to the storm drain system that typically includes an inlet where stormwater enters the catch basin and a sump to capture sediment, debris, and associated pollutants prior to the surface water flowing into a storm or sewer pipe. There are two main types of inlets: side inlets and grated inlets.  Side inlets are located adjacent to the curb and rely on the ability of the opening under the curb to capture flow. Grated inlets have gratings or metal grids to prevent large objects and debris from falling into the combined sewer or drainage system.  They collect surface runoff for conveyance in a pipe system. Sandboxes have wooden lids and are filled with sand or gravel and drain directly into the ground or to a culvert as part of the informal drainage system. Sandboxes are no longer being installed. Junction boxes are cement structure with a grated metal lid, shallow in depth, generally connect culverts and are inline as part of the informal ditch and culvert system.  Trash racks are grated structures that collect debris. Trash racks may be on maintenance holes, catch basins, other structures, or streams.
            Data source is DWW.catch_basin_pt_pv, and DWW.APPURTENANCE_PT_PV. Maintained by SPU GIS DWW Data Maintenance staff. This layer does not display when zoomed out beyond 1:899.

            Refreshed daily.
            ","Allen Grissom","federated_href",null,"appurtenance point,catch basin,catch basin - grated top,cb,cbl,inl,inlet,jb,jbs,junction box,junction box with sump,sandbox,sb,seattle gis open data,trash racks,trr","https://data.seattle.gov/d/7qy7-g77n","https://data.seattle.gov/resource/7qy7-g77n.json","02/03/2025 06:38:06 PM","09/01/2025 07:03:39 PM","02/03/2025 06:38:06 PM","false","0","0",null,null,null,null,null,null,null,null,null], [402,"pyit-ycs3","SPU DWW Underdrains & Rain Gardens","The DWW (Drainage and Waste Water) GSI (Green Stormwater Infrastructure) layer consists of line and polygon representations of the following features: Swales (biofiltration, bioretention, biofiltration/bioretention, and conveyance) are generally shallow depressions with a designed mix of soil and plants which break down pollutants through natural processes while reducing runoff. Permeable pavement is a paving system which allows rainfall to percolate into an underlying soil or aggregate storage reservoir. Underdrain piping systems are provided to prevent prolonged ponding of stormwater or to collect and convey water to another facility. Rain gardens are less engineered systems that are designed to mitigate water from the sidewalk only and have two inches or less of ponded depth. The drainage structures represented in the GSI points are not all unique to GSI, however, they are specifically part of SPU GSI projects.

            The data is being refreshed weekly.
            ","Allen Grissom","federated_href",null,"biofiltration,bioretention,conveyance,dww,gis,green roof,green storm infrastructure,gsi,modular soil cell,permeable pavement,polygon,rain garden,seattle gis open data,silva cell,spu,surface drainage,surface drainline,swale","https://data.seattle.gov/d/pyit-ycs3","https://data.seattle.gov/resource/pyit-ycs3.json","02/03/2025 06:37:51 PM","09/01/2025 07:03:43 PM","02/03/2025 06:37:51 PM","false","0","0",null,null,null,null,null,null,null,null,null], [403,"695y-4w9y","Pickleball Courts","Feature Class showing the locations of the SPR Pickleball Courts. Attributes include information for number of courts, court use type, lights, nets, nearby restrooms, parking, etc. for each facility. Pickle courts can also be viewed per the respective council district and the parks maintenance district.

            Refresh Cycle: Weekly

            Feature Class: DPR.PickleballCourts
            ","Allen Grissom","federated_href",null,"common data layers,parks,pickleball courts,seattle gis open data,spr","https://data.seattle.gov/d/695y-4w9y","https://data.seattle.gov/resource/695y-4w9y.json","02/03/2025 06:38:25 PM","09/01/2025 07:03:57 PM","02/03/2025 06:38:25 PM","false","0","0",null,null,null,null,null,null,null,null,null], [404,"6f69-bwyx","Parks Boundary (outline)","

            This grouped layer of City of Seattle Parks contains Parks centroids, Parks Boundary outlines, Parks, and also Parks not owned by Seattle Parks and Recreation.  

            Layers also available separately as hosted views:

            Parks Boundary Centroids

            Parks Boundary (outline)

            Parks Boundary (details)

            Parks Not SPR

            Refresh Cycle: Weekly on Mondays

            ","Allen Grissom","federated_href",null,"park,parks,seattle gis open data,spr","https://data.seattle.gov/d/6f69-bwyx","https://data.seattle.gov/resource/6f69-bwyx.json","02/03/2025 06:37:44 PM","09/01/2025 07:03:31 PM","02/03/2025 06:37:44 PM","false","0","0",null,null,null,null,null,null,null,null,null], [405,"7gbs-fshv","Marked Crosswalks","Displays marked crosswalks maintained by the Seattle Department of Transportation.

            View Layer: Link, which adds the recommended filter for general use of the dataset: 'CURRENT_STATUS IN(INSVC, PLNRECON) OR CURRENT_STATUS is empty string'

            Refresh Cycle: Daily

            Feature Class: SDOT.V_CROSSWALKS
            ","Allen Grissom","federated_href",null,"common data layers,marked crosswalks,sdot,seattle gis open data,transportation","https://data.seattle.gov/d/7gbs-fshv","https://data.seattle.gov/resource/7gbs-fshv.json","02/03/2025 06:37:39 PM","09/01/2025 07:03:36 PM","02/03/2025 06:37:39 PM","false","0","0",null,null,null,null,null,null,null,null,null], [406,"3r3n-4vz3","Radar Speed Signs","Displays radar speed signs maintained by the Seattle Department of Transportation.

            Refresh Cycle: Daily

            Feature Class: SDOT.V_RSS

            ","Allen Grissom","federated_href",null,"common data layers,radar speed signs,sdot,seattle gis open data,transportation","https://data.seattle.gov/d/3r3n-4vz3","https://data.seattle.gov/resource/3r3n-4vz3.json","02/03/2025 06:37:38 PM","09/01/2025 07:03:52 PM","02/03/2025 06:37:38 PM","false","0","0",null,null,null,null,null,null,null,null,null], [407,"ajy6-kvun","Park Boundaries","

            This grouped layer of City of Seattle Parks contains Parks centroids, Parks Boundary outlines, Parks, and also Parks not owned by Seattle Parks and Recreation.  

            Layers also available separately as hosted views:

            Parks Boundary Centroids

            Parks Boundary (outline)

            Parks Boundary (details)

            Parks Not SPR

            Refresh Cycle: Weekly on Mondays

            ","Allen Grissom","federated_href",null,"park,parks,spr,seattle gis open data","https://data.seattle.gov/d/ajy6-kvun","https://data.seattle.gov/resource/ajy6-kvun.json","02/03/2025 06:37:44 PM","09/01/2025 07:03:48 PM","02/03/2025 06:37:44 PM","false","1","0",null,null,null,null,null,null,null,null,null], [408,"qfje-eds2","TRAVEL TIME TO WORK (B08303)","Table from the American Community Survey (ACS) B08303 travel time to work. These are multiple, nonoverlapping vintages of the 5-year ACS estimates of population and housing attributes starting in 2010 shown by the corresponding census tract vintage. Also includes the most recent release annually.

            King County, Washington census tracts with nonoverlapping vintages of the 5-year American Community Survey (ACS) estimates starting in 2010. Vintage identified in the "ACS Vintage" field.

            The census tract boundaries match the vintage of the ACS data (currently 2010 and 2020) so please note the geographic changes between the decades. 

            Tracts have been coded as being within the City of Seattle as well as assigned to neighborhood groups called "Community Reporting Areas". These areas were created after the 2000 census to provide geographically consistent neighborhoods through time for reporting U.S. Census Bureau data. This is not an attempt to identify neighborhood boundaries as defined by neighborhoods themselves.

            Vintages: 2010, 2015, 2020, 2021, 2022, 2023
            Table from the American Community Survey (ACS) B16003 of age by language spoken at home for the population 5 years and over in limited English-speaking households. These are multiple, nonoverlapping vintages of the 5-year ACS estimates of population and housing attributes starting in 2010 shown by the corresponding census tract vintage. Also includes the most recent release annually.

            King County, Washington census tracts with nonoverlapping vintages of the 5-year American Community Survey (ACS) estimates starting in 2010. Vintage identified in the "ACS Vintage" field.

            The census tract boundaries match the vintage of the ACS data (currently 2010 and 2020) so please note the geographic changes between the decades. 

            Tracts have been coded as being within the City of Seattle as well as assigned to neighborhood groups called "Community Reporting Areas". These areas were created after the 2000 census to provide geographically consistent neighborhoods through time for reporting U.S. Census Bureau data. This is not an attempt to identify neighborhood boundaries as defined by neighborhoods themselves.

            Vintages: 2010, 2015, 2020, 2021, 2022, 2023
            ACS Table(s): B16003
            Data downloaded from: 

            ","Allen Grissom","federated_href",null,"business,dea,fas,seattle gis open data,slim","https://data.seattle.gov/d/wmtg-dzy4","https://data.seattle.gov/resource/wmtg-dzy4.json","02/03/2025 06:37:46 PM","09/01/2025 07:03:46 PM","02/03/2025 06:37:46 PM","false","1","0",null,null,null,null,null,null,null,null,null], [411,"9i97-ndcc","Basic Demographics Age and Gender - Seattle Neighborhoods","Table from the American Community Survey (ACS) 5-year series on age and gender related topics for City of Seattle Council Districts, Comprehensive Plan Growth Areas and Community Reporting Areas. Table includes B01001 Sex by Age, B01002 Median Age by Sex. Data is pulled from block group tables for the most recent ACS vintage and summarized to the neighborhoods based on block group assignment.


            Vintages: 2023
            ACS Table(s): B01001, B01002
            Data downloaded from: Census Bureau's Explore Census Data 


            The United States Census Bureau's American Community Survey (ACS):
            This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census and ACS when using this data.

            Data Note from the Census:
            Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estima","Allen Grissom","federated_href",null,"acs,acs-bg,age,american community survey,census,census block groups,demographics,gender,gis,planning,seattle gis open data","https://data.seattle.gov/d/9i97-ndcc","https://data.seattle.gov/resource/9i97-ndcc.json","10/22/2024 09:12:45 PM","01/31/2025 07:27:43 PM","10/22/2024 09:12:45 PM","false","0","0",null,null,null,null,null,null,null,null,null], [412,"9f8r-eu9y","Poverty and Employment Status - Seattle Neighborhoods","Table from the American Community Survey (ACS) 5-year series on poverty and employment status related topics for City of Seattle Council Districts, Comprehensive Plan Growth Areas and Community Reporting Areas. Table includes B23025 Employment Status for the Population 16 years and over, B23024 Poverty Status by Disability Status by Employment Status for the Population 20 to 64 years, B17010 Poverty Status of Families by Family Type by Presence of Related Children under 18 years, C17002 Ratio of Income to Poverty Level in the Past 12 Months. Data is pulled from block group tables for the most recent ACS vintage and summarized to the neighborhoods based on block group assignment.

            Table created for and used in the Neighborhood Profiles application.

            Vintages: 2023
            ACS Table(s): B23025, B23024, B17010, C17002
            Data downloaded from: Census Bureau's Explore Census Data 


            The United States Census Bureau's American Community Survey (ACS):
            This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the Census and ACS when using this data.

            Permit records from the City of Seattle permitting system for building permits that create or demolish housing units. Records begin in 1990 and are through the current year quarter.

            The permits in this layer are those that are currently issued. This data does not contain records for those permits that were issued but were not completed, cancelled or withdrawn.

            Each record represents the number of units added or demolished for each housing type in the project. Therefore a single building permit may appear multiple times if there are a mix of unit types in the project.

            Housing unit types reflect the unit types regulated by the building codes and change through time. There has been no attempt to standardize these types and therefore reflect the unit types that existed at the time the permit was issued.

            There may be multiple permits at any given address.

            ","Allen Grissom","federated_href",null,"gis,housing units,permits,planning,seattle gis open data","https://data.seattle.gov/d/wu3a-5kh4","https://data.seattle.gov/resource/wu3a-5kh4.json","02/03/2025 06:38:09 PM","08/20/2025 07:04:44 PM","02/03/2025 06:38:09 PM","false","0","0",null,null,null,null,null,null,null,null,null], [414,"b5hh-xj62","Zoned Development Capacity by Development Site Current","

            This layer is the output of the City of Seattle Zoned Development Capacity Model. To estimate potential development, the City of Seattle maintains a zoned development capacity model that compares existing development to an estimate of what could be built under current zoning. The difference between potential and existing development yields the capacity for new development measured as the number of housing units and the number of potential jobs that could be added.

            Knowledge about capacity enables the City to determine the effects of proposed zoning changes, policy revisions and development trends.  It also aids in setting and allocating the 20-year growth targets that must be accommodated by the City’s Comprehensive Plan.  


            The model is based on development sites and land use zoning maintained by the Department of Construction and Inspections.  Model results for any given development site are not a prediction that a certain amount of development will occur in some fixed time period. 

            The actual level of development activity that occurs is a function of a variety of future factors, many of which are beyond our ability to predict or influence.  These factors include such things as the future demand for a particular type of development (such as for townhouses, high-amenity multifamily or small-unit multifamily), whether the owner of any particular land is willing to sell or redevelop it, the financial feasibility of developing the land, and the intensity of development when it does occur.  Other factors, such as the relative attractiveness of certain areas for living and commerce, and the relative densities allowed by the existing zoning, can cause some areas to be developed earlier or later than others.  No one can predict with certainty the total effect of all these factors on the choices made by land developers.

            See the data in action in this web app.

            Supporting resources:

            Disclaimer: This map is the product of an analytical model.  The model","Allen Grissom","federated_href",null,"zoning,buildable lands,capacity model current,development capacity,planning,gis,seattle gis open data,zoned capacity","https://data.seattle.gov/d/b5hh-xj62","https://data.seattle.gov/resource/b5hh-xj62.json","02/03/2025 06:38:10 PM","02/27/2025 07:09:18 PM","02/03/2025 06:38:10 PM","false","0","0",null,null,null,null,null,null,null,null,null], [415,"xpcq-cskw","SPU DWW Miscellaneous Structures","

            This layer displays the footprint of\nvarious structures associated with mainline and is described within the\ndescriptive text column of the feature class.  It does not include pump\nstations, vaults, or detention systems.  Data source is DWW. polygon_plgn_pv\nand uses the following query, (PLY_LIFECYCLE_CODE\nIN ('C', 'UNK', 'T', 'TBC', 'U', 'PC') And PLY_DWW_ROLE_CODE IN ('MNL',\n'CONNPT', 'ENDPT', 'NONMAIN', 'SURFDRN') And PLY_DWW_FEATYPE_CODE NOT IN\n('PST', 'VLT', 'WQS', 'DTS', 'DTC', 'DTL', 'PIT') And PLY_FEATYPE_CODE NOT IN\n('PND', 'LIN')) Or (PLY_FEATYPE_CODE = 'MSC' And PLY_DESC_TEXT NOT LIKE '%Green\nRoof%' And PLY_DESC_TEXT NOT LIKE '%Modular%' And PLY_LIFECYCLE_CODE IN ('C',\n'UNK', 'T', 'TBC', 'U', 'PC')). This layer does not\ndisplay when zoomed out beyond 1:7,000.  Labels are based on the attribute\nDESCRIPTION.

            \n\n

            Refreshed daily.

            ","Allen Grissom","federated_href",null,"detention systems,misc structure,pump station,seattle gis open data,vault","https://data.seattle.gov/d/xpcq-cskw","https://data.seattle.gov/resource/xpcq-cskw.json","02/03/2025 06:37:59 PM","02/27/2025 07:09:22 PM","02/03/2025 06:37:59 PM","false","0","0",null,null,null,null,null,null,null,null,null], [416,"gn3w-jpau","ECA Wildlife Habitat","Displays Environmentally Critical Areas (ECA) in the City of Seattle. For more information about the definition of the ECA layers, see Seattle Municipal Code section 25.09.

            Updated as needed.
            ","Allen Grissom","federated_href",null,"eca,seattle gis open data","https://data.seattle.gov/d/gn3w-jpau","https://data.seattle.gov/resource/gn3w-jpau.json","02/03/2025 06:38:21 PM","02/27/2025 07:07:53 PM","02/03/2025 06:38:21 PM","false","0","0",null,null,null,null,null,null,null,null,null], [417,"4yym-ezkh","ECA Wetlands","
            Displays areas with wetlands in the City of Seattle.

            A polygon feature class showing wetlands, which are those areas that are inundated or saturated by surface water or ground water at a frequency and duration sufficient to support, and that under normal circumstances do support, a prevalence of vegetation typically adapted for life in saturated soil conditions. Wetlands generally include swamps, marshes, bogs, and similar areas.

            For more information about the definition of wetlands, see Seattle Municipal Code section 25.09.012, Environmentally Critical Areas (ECA) definitions. 

            Updates as needed.
            ","Allen Grissom","federated_href",null,"terrain,eca,environmental,landuse,planning,sdci,seattle gis open data,wetlands","https://data.seattle.gov/d/4yym-ezkh","https://data.seattle.gov/resource/4yym-ezkh.json","02/03/2025 06:38:39 PM","02/27/2025 07:08:50 PM","02/03/2025 06:38:39 PM","false","0","0",null,null,null,null,null,null,null,null,null], [418,"euzi-n27d","POVERTY STATUS OF FAMILIES (B17010)","Table from the American Community Survey (ACS) B17010 poverty status of families by family type. These are multiple, nonoverlapping vintages of the 5-year ACS estimates of population and housing attributes starting in 2010 shown by the corresponding census tract vintage. Also includes the most recent release annually.

            King County, Washington census tracts with nonoverlapping vintages of the 5-year American Community Survey (ACS) estimates starting in 2010. Vintage identified in the "ACS Vintage" field.

            The census tract boundaries match the vintage of the ACS data (currently 2010 and 2020) so please note the geographic changes between the decades. 

            Tracts have been coded as being within the City of Seattle as well as assigned to neighborhood groups called "Community Reporting Areas". These areas were created after the 2000 census to provide geographically consistent neighborhoods through time for reporting U.S. Census Bureau data. This is not an attempt to identify neighborhood boundaries as defined by neighborhoods themselves.

            Vintages: 2010, 2015, 2020, 2021, 2022, 2023
            ACS Table(s): Annual April, 1 Small Area Estimates Program (SAEP) estimates provide a consistent set of small area population and housing data at the census block (vintage 2020). This table summarized to the City of Seattle growth management areas.

            Estimates are annual April, 1 for the 2010-202X with the most current year added Q4 of that year.

            (SAEP) estimates are meant to provide a consistent set of small area population and housing data for statewide applications. SAEP estimates are generated by the Washington State Office of Financial Management for census areas and other areas of statewide significance.

            Before using the SAEP estimates, please see the SAEP User Guide to gain a better understanding of the data and methods behind the estimates as well as limitations in their use. For more specific information about the 2020 data release, please see the User Notes and Errata document.

            Please note that SAEP estimates are NOT the official state population estimates used for revenue distribution and program administration related to cities and counties. Users interested in city and county estimates should see the state's official April 1 population estimates program.

            ","Allen Grissom","federated_href",null,"planning,housing,households,gis,estimate,seattle gis open data,population","https://data.seattle.gov/d/aswp-aeyk","https://data.seattle.gov/resource/aswp-aeyk.json","10/22/2024 09:10:30 PM","01/31/2025 07:27:42 PM","10/22/2024 09:10:30 PM","false","0","0",null,null,null,null,null,null,null,null,null], [420,"wyz2-c66n","Proposed Inlets","This layer displays all the catch basins, catch basin grated tops, sandboxes, junction boxes, inlets and trash racks within the City of Seattle (and the former service area north of the City limits) regardless of ownership.
            A catch basin is a connector to the storm drain system that typically includes an inlet where stormwater enters the catch basin and a sump to capture sediment, debris, and associated pollutants prior to the surface water flowing into a storm or sewer pipe. There are two main types of inlets: side inlets and grated inlets.  Side inlets are located adjacent to the curb and rely on the ability of the opening under the curb to capture flow. Grated inlets have gratings or metal grids to prevent large objects and debris from falling into the combined sewer or drainage system.  They collect surface runoff for conveyance in a pipe system. Sandboxes have wooden lids and are filled with sand or gravel and drain directly into the ground or to a culvert as part of the informal drainage system. Sandboxes are no longer being installed. Junction boxes are cement structure with a grated metal lid, shallow in depth, generally connect culverts and are inline as part of the informal ditch and culvert system.  Trash racks are grated structures that collect debris. Trash racks may be on maintenance holes, catch basins, other structures, or streams.
            Data source is DWW.catch_basin_pt_pv, and DWW.APPURTENANCE_PT_PV. Maintained by SPU GIS DWW Data Maintenance staff. This layer does not display when zoomed out beyond 1:899.

            Refreshed daily.
            ","Allen Grissom","federated_href",null,"sandbox,catch basin - grated top,catch basin,appurtenance point,trr,trash racks,seattle gis open data,sb,junction box with sump,junction box,jbs,jb,inlet,inl,cbl,cb","https://data.seattle.gov/d/wyz2-c66n","https://data.seattle.gov/resource/wyz2-c66n.json","02/03/2025 06:38:07 PM","08/30/2025 07:03:47 PM","02/03/2025 06:38:07 PM","false","0","0",null,null,null,null,null,null,null,null,null], [421,"jya9-y5bv","Census Tract Top 50 American Community Survey Data","Data from:  American Community Survey, 5-year Series

            King County, Washington census tracts with nonoverlapping vintages of the 5-year American Community Survey (ACS) estimates starting in 2010 of over 50 attributes of the most requested data derived from the U.S. Census Bureau's demographic profiles (DP02-DP05). Also includes the most recent release annually with the vintage identified in the "ACS Vintage" field.

            The census tract boundaries match the vintage of the ACS data (currently 2010 and 2020) so please note the geographic changes between the decades. 

            Tracts have been coded as being within the City of Seattle as well as assigned to neighborhood groups called "Community Reporting Areas". These areas were created after the 2000 census to provide geographically consistent neighborhoods through time for reporting U.S. Census Bureau data. This is not an attempt to identify neighborhood boundaries as defined by neighborhoods themselves.




            The Seattle Fault zone as delineated in Troost et al., 2005, The geologic map of Seattle, a progress report, U.S. Geological Survey, Open-file report 2005-1252 , or as the Director determines is more accurately mapped by the U.S. Geological Survey, as set out in a Director's Rule.

            For more information about the definition of liquefaction zones, see Seattle Municipal Code section 25.09.012, Environmentally Critical Areas (ECA) definitions. 

            Updated as needed.
            ","Allen Grissom","federated_href",null,"sdci,planning,liquefaction prone areas,landuse,eca,environmental,terrain,seattle gis open data","https://data.seattle.gov/d/qbux-fbdn","https://data.seattle.gov/resource/qbux-fbdn.json","02/03/2025 06:38:19 PM","08/15/2025 07:03:37 PM","02/03/2025 06:38:19 PM","false","0","0",null,null,null,null,null,null,null,null,null], [425,"y25y-bqeq","Seattle Tree Canopy 2016 2021 Public Schools","

            This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.

            University of Vermont Spatial Analysis Laboratory

            This dataset consists of City of Seattle Public Schools areas which cover the following tree canopy categories:

            • Existing tree canopy percent
            • Possible tree canopy - vegetation percent
            • Relative percent change
            • Absolute percent change
            For more information, please see the 2021 Tree Canopy Assessment.
            ","Allen Grissom","federated_href",null,"biota,2021,2016,tree canopy,seattle,seattle gis open data,sustainability,public schools,land cover,flora,environment","https://data.seattle.gov/d/y25y-bqeq","https://data.seattle.gov/resource/y25y-bqeq.json","02/03/2025 06:37:16 PM","02/27/2025 07:09:12 PM","02/03/2025 06:37:16 PM","false","0","0",null,null,null,null,null,null,null,null,null], [426,"43xn-tu5a","2010 Census Tract Seattle - Housing Statistics","Data from:  2010 Decennial Census

            Decennial housing data for Census Tracts in the City of Seattle.
            ","Allen Grissom","federated_href",null,"dc2010,gis,housing,planning,tracts,seattle gis open data,census,demographics","https://data.seattle.gov/d/43xn-tu5a","https://data.seattle.gov/resource/43xn-tu5a.json","02/03/2025 06:37:24 PM","02/27/2025 07:09:08 PM","02/03/2025 06:37:24 PM","false","0","0",null,null,null,null,null,null,null,null,null], [427,"c7dn-wzzd","SPR Tree View","Seattle Parks and Recreation's Tree Inventory of individual trees on SPR property.

            This Hosted Feature Layer View is for public facing web maps and applications.  The HFL and view get updated weekly from the source on Monday morning through mid-day.
            ","Allen Grissom","federated_href",null,"trees,urban forestry,natural resources unit,seattle parks & recreation,dpr,management,seattle gis open data,inventory,tree,spr,maintenance","https://data.seattle.gov/d/c7dn-wzzd","https://data.seattle.gov/resource/c7dn-wzzd.json","02/03/2025 06:38:16 PM","08/26/2025 07:01:50 PM","02/03/2025 06:38:16 PM","false","0","0",null,null,null,null,null,null,null,null,null], [428,"7xet-i24m","Housing Cost Burden by Race","
            Displacement risk indicator showing how many households within the specified groups are facing either housing cost burden (contributing more than 30% of monthly income toward housing costs) or severe housing cost burden (contributing more than 50% of monthly income toward housing costs).
            ","Allen Grissom","federated_href",null,"seattle gis open data,planning,ipums,hdri,gis","https://data.seattle.gov/d/7xet-i24m","https://data.seattle.gov/resource/7xet-i24m.json","10/22/2024 09:13:09 PM","01/31/2025 07:27:36 PM","10/22/2024 09:13:09 PM","false","4","0",null,null,null,null,null,null,null,null,null], [429,"pfqj-8fr8","Farmers Market","
            Markets are operated by a variety of organizations. The markets are an opportunity for local farmers to sell their products. Some of the markets are also contain crafts, antiques, and food vendors.

            Displays data from CARTO.FARMERSMARKET.  Labels are based on the attribute NAME. 

            Updated as needed, last update April 2024.
            ","Allen Grissom","federated_href",null,"gis,community,seattle gis open data","https://data.seattle.gov/d/pfqj-8fr8","https://data.seattle.gov/resource/pfqj-8fr8.json","02/03/2025 06:38:13 PM","02/27/2025 07:08:05 PM","02/03/2025 06:38:13 PM","false","0","0",null,null,null,null,null,null,null,null,null], [430,"ev6g-yenv","Average Maximum Afternoon Temperature (F)","
            This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.

            University of Vermont Spatial Analysis Laboratory

            This dataset consists of hexagons 50-acres in area, or several city blocks. The dataset covers the following tree canopy categories:
            • Existing tree canopy percent
            • Possible tree canopy - vegetation percent
            • Relative percent change
            • Absolute percent change
            • Average maximum afternoon temperature (F)
            • Tree canopy percentage & average afternoon temperature (F)
            For more information, please see the 2021 Tree Canopy Assessment.
            ","Allen Grissom","federated_href",null,"washington,vegetation,tree,temperature,seattle gis open data,seattle,percent change,king,hexagons,environment,canopy,biota,2021","https://data.seattle.gov/d/ev6g-yenv","https://data.seattle.gov/resource/ev6g-yenv.json","02/03/2025 06:38:39 PM","02/27/2025 07:09:17 PM","02/03/2025 06:38:39 PM","false","0","0",null,null,null,null,null,null,null,null,null], [431,"kdbe-vd4x","Contours 5ft 2021 Cedar River Watershed","
            Cedar River watershed area 5ft contours derived from Lidar captured in 2021. Contour lines display at 5ft, 25ft, 50ft, 100ft, 200ft and 400ft intervals dependent on scale. Lines have been smoothed and generalized for display and performance.

            Development Detail:

            This vector tile service includes topographic contour lines representing elevation at 5-foot intervals within the Cedar River watershed area.

            The contours were derived from a bare earth - digital elevation model (DEM) with a pixel resolution of 1.5 feet. The lidar data that created the DEM were collected by NV5 Geospatial over the spring and summer months of 2021 and provided to the city by King County in 2022.

            The DEM used to generate the contours was filtered using the Focal Statistics tool in ArcGIS, which served to limit some abrupt changes in cell values. A 3x3 rectangular neighborhood analysis was applied and a mean value was calculated per raster cell.

            After running the Focal Statistics tool, 5-foot contours were generated from the filtered DEM. To reduce file size and improve performance, the contours were generalized further using the Smooth Line tool in ArcGIS. A smoothing algorithm type of Polynomial Approximation with Exponential Kernel (PAEK) and a smoothing tolerance of 20 feet was selected in the Smooth Line tool parameter options.

            Finally, after executing both generalization tools (Focal Statistics and Smooth Line), all lines less than 25 feet in length were omitted from the final output.

            Please note: The 5-foot contours are intended to be used for general reference and cartographic purposes only and should not be used for analysis purposes.
            ","Allen Grissom","federated_href",null,"5ft,watershed,topography,contours,seattle gis open data,cedar river","https://data.seattle.gov/d/kdbe-vd4x","https://data.seattle.gov/resource/kdbe-vd4x.json","02/03/2025 06:37:20 PM","02/27/2025 07:08:48 PM","02/03/2025 06:37:20 PM","false","0","0",null,null,null,null,null,null,null,null,null], [432,"8qgt-awdb","Selected Economic Characteristics (DP03)","Data from:  American Community Survey, 5-year Series

            King County, Washington census tracts with nonoverlapping vintages of the 5-year American Community Survey (ACS) estimates starting in 2010 from the U.S. Census Bureau's demographic profile of Selected Economic Characteristics (DP03). Also includes the most recent release annually with the vintage identified in the "ACS Vintage" field.

            The census tract boundaries match the vintage of the ACS data (currently 2010 and 2020) so please note the geographic changes between the decades. 

            Tracts have been coded as being within the City of Seattle as well as assigned to neighborhood groups called "Community Reporting Areas". These areas were created after the 2000 census to provide geographically consistent neighborhoods through time for reporting U.S. Census Bureau data. This is not an attempt to identify neighborhood boundaries as defined by neighborhoods themselves.

            Vintages: 2010, 2015, 2020, 2021, 2022, 2023
    BP99_TYPE_CODEDESCRIPTION
    BLDBuilding
    DEKDeck
    GARGarage
    MSCMiscellaneous
    OBSObscured
    PATPatio
    UNKUnknown
    U_CUnder Construction

    Static data layer, no updates.
    ","Allen Grissom","federated_href",null,"roof,gis,outlines,apex,building,seattle gis open data","https://data.seattle.gov/d/453n-e667","https://data.seattle.gov/resource/453n-e667.json","02/03/2025 06:38:35 PM","02/27/2025 07:08:36 PM","02/03/2025 06:38:35 PM","false","0","0",null,null,null,null,null,null,null,null,null], [434,"twzv-b8kc","ECA Landfills Historical","
    Displays historic landfill locations.

    A polygon feature class showing landfill areas and former landfill sites. Used to implement and regulate the City of Seattle's Environmentally Critical Areas (ECA) policies. This layer was table digitized in 1996 using abandoned landfill information from King County Department of Public Health.  For those abandoned landfills emitting methane, a 1,000 foot buffer was created and so indicated in the attribute table.

    For more information about the definition of landfill areas, see Seattle Municipal Code section 25.09.012, Environmentally Critical Areas (ECA) definitions. 

    Updated as needed.
    ","Allen Grissom","federated_href",null,"seattle gis open data,sdci,planning,landuse,landfills historical,environmental,eca","https://data.seattle.gov/d/twzv-b8kc","https://data.seattle.gov/resource/twzv-b8kc.json","02/03/2025 06:38:19 PM","08/31/2025 07:04:15 PM","02/03/2025 06:38:19 PM","false","0","0",null,null,null,null,null,null,null,null,null], [435,"juei-63hu","Relative % Change","
    This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.

    University of Vermont Spatial Analysis Laboratory

    This dataset consists of hexagons 50-acres in area, or several city blocks. The dataset covers the following tree canopy categories:
    • Existing tree canopy percent
    • Possible tree canopy - vegetation percent
    • Relative percent change
    • Absolute percent change
    • Average maximum afternoon temperature (F)
    • Tree canopy percentage & average afternoon temperature (F)
    For more information, please see the 2021 Tree Canopy Assessment.
    ","Allen Grissom","federated_href",null,"canopy,washington,vegetation,environment,hexagons,king,temperature,biota,seattle,seattle gis open data,percent change,2021,tree","https://data.seattle.gov/d/juei-63hu","https://data.seattle.gov/resource/juei-63hu.json","02/03/2025 06:38:38 PM","02/27/2025 07:08:05 PM","02/03/2025 06:38:38 PM","false","0","0",null,null,null,null,null,null,null,null,null], [436,"qdke-3tds","Seattle Transportation Plan Transit Element","Frequent, reliable transit service is the foundation of a transportation system that empowers all travelers and makes Seattle a truly transit-friendly city. A robust transit network is essential if Seattle is to meet its climate goals and address transportation-related inequities. At its most fundamental level, a transit network is made up of transit infrastructure such as bus lanes, transit signals, and bus stops, often arranged in corridors.  

    The transit service that travels on this infrastructure can be described as a series of routes that connect different parts of a community for a number of hours per day at a certain frequency (the number of trips at a bus stop per hour). SDOT’s vision for the service aspect of the transit network is followed by a vision for transit infrastructure in the sections below. 

    Public input and surveys consistently point to transit frequency as the most critical factor that influences ridership behavior. This fundamental concept directly informs SDOT’s shared vision for a “Frequent Transit Network” (FTN), which builds from the 2016 Transit Master Plan (TMP) and establishes aspirational frequency targets for transit corridors throughout the city. A high-frequency transit network enables people to move through the city with confidence in a timely arrival—and without the need to consult a schedule—throughout the day and every single day of the week. Continual investment in improved transit frequency in Seattle is essential for many reasons:  
    • Post-pandemic transit is likely to remain less commuter-focused and oriented specifically to Downtown Seattle and must adapt to new travel behaviors and patterns. 
    • To support everyday trips by transit (not just commutes), people need reliable mobility at all times, such as early mornings, midday, evenings and at night all days of the week, not just at peak times on weekdays.  
    • Transit needs to accommodate work schedules of non-traditional and low-income workers including the times noted above. 
    • Transit should be attractive for all types of trips throughout the week, including education, shopping, and recreational trips, as well as cultural gatherings. 
    • An excellent transit network is necessary to accommodate the mode shift required to respond to the impacts of climate change in the next decade. 
    • Frequent transit reduces wait time, increases reliability, and values the time for existing and future riders. 
    • Frequent transit makes transfers more feasible and allows a network of routes to function as a system. 
    • A connected network of frequent transit services is also critical to achieve STP climate goals, which require dramatic increases in transit ridership and VMT reduction to support broader efforts to reduce greenhouse gas (GHG) emissions from transportation.  
    • High transit frequencies as part of a reliable, all-day service network can create a more equitable transportation system, making it possible for people of all ages, incomes, and abilities to get where they want to go regardless of when or where they need to travel. The Transit Element presents a vision for frequent transit service in Seattle that goes beyond the original Frequent Transit Network (FTN) presented in the 2016 Transit Master Plan.  

    Refresh Cycle: None, Static. Manually as required.
    • Original Publish: 5/23/2024
    • Update Publish: 7/11/2024 per Policy and Planning team
    Contact: Policy and Planning team.
    ","Allen Grissom","federated_href",null,"transit element,seattle gis open data,seattle transportation plan,stp,transit,gis,light rail,bus,sdot","https://data.seattle.gov/d/qdke-3tds","https://data.seattle.gov/resource/qdke-3tds.json","02/03/2025 06:38:01 PM","02/27/2025 07:09:04 PM","02/03/2025 06:38:01 PM","false","0","0",null,null,null,null,null,null,null,null,null], [437,"in88-ub6u","ECA Liquefaction Prone Areas","Displays Environmentally Critical Areas (ECA) in the City of Seattle. For more information about the definition of the ECA layers, see Seattle Municipal Code section 25.09.

    Updated as needed.
    ","Allen Grissom","federated_href",null,"eca,seattle gis open data","https://data.seattle.gov/d/in88-ub6u","https://data.seattle.gov/resource/in88-ub6u.json","02/03/2025 06:38:21 PM","02/27/2025 07:08:20 PM","02/03/2025 06:38:21 PM","false","0","0",null,null,null,null,null,null,null,null,null], [438,"f5cw-8qvm","5 Min Walk Service Area in Urban Village","
    Seattle Parks and Recreation 2023 Walkability Gap Analysis. 

    SPR’s intent is to gain a more accurate picture of access, by measuring how people walk to a park or recreation facility. We are calling this "walkability".

    This map shows what a 5-minute and a 10-minute walking distance (or walkability area) looks like around park lands that are greater than 10,000 square feet in size.

    ","Allen Grissom","federated_href",null,"walking analysis,gap analysis,seattle gis open data,spr,walkability","https://data.seattle.gov/d/f5cw-8qvm","https://data.seattle.gov/resource/f5cw-8qvm.json","02/03/2025 06:38:22 PM","03/17/2025 07:05:20 PM","02/03/2025 06:38:22 PM","false","0","0",null,null,null,null,null,null,null,null,null], [439,"qrzy-uxvd","ECA Wetlands","Displays Environmentally Critical Areas (ECA) in the City of Seattle. For more information about the definition of the ECA layers, see Seattle Municipal Code section 25.09.

    Updated as needed.
    ","Allen Grissom","federated_href",null,"seattle gis open data,eca","https://data.seattle.gov/d/qrzy-uxvd","https://data.seattle.gov/resource/qrzy-uxvd.json","02/03/2025 06:38:20 PM","02/27/2025 07:09:10 PM","02/03/2025 06:38:20 PM","false","0","0",null,null,null,null,null,null,null,null,null], [440,"9fry-iiqp","Urban Village Gaps","
    Seattle Parks and Recreation 2023 Walkability Gap Analysis. 

    SPR’s intent is to gain a more accurate picture of access, by measuring how people walk to a park or recreation facility. We are calling this "walkability".

    This map shows what a 5-minute and a 10-minute walking distance (or walkability area) looks like around park lands that are greater than 10,000 square feet in size.

    ","Allen Grissom","federated_href",null,"spr,walkability,seattle gis open data,walking analysis,gap analysis","https://data.seattle.gov/d/9fry-iiqp","https://data.seattle.gov/resource/9fry-iiqp.json","02/03/2025 06:38:22 PM","03/17/2025 07:05:18 PM","02/03/2025 06:38:22 PM","false","1","0",null,null,null,null,null,null,null,null,null], [441,"2mgu-a8wu","Water Mains","A grouped feature layer that includes Water Mains, Water Services, Same Side Tap Only and No New Taps layers.

    • Water Mains are large buried pipes that distribute water from a supply source ultimately to customer's service lines. 
    • Water Services are lines representing a water service delivered from a watermain to a property.
    • Same Side Tap Only and No New Taps are water main restrictions which represent the availability or access to water main assets. Same Side Tap Only are lines representing where water services are only allowed to be tapped on one side of the water main. 
    • No New Taps are lines representing water mains where new water services are no longer permitted to tap into the water main.
    This data provides a limited view of Seattle's water infrastructure. For example, the data does not include transmission pipelines or feeder mains for reasons of water system network security. The data may show water mains that are not eligible for new water service connections (e.g., obsolete or "no-tap" water mains).
    ","Allen Grissom","federated_href",null,"mains,no new taps,same side tap only,seattle gis open data,services,water,water main,water mains,water services","https://data.seattle.gov/d/2mgu-a8wu","https://data.seattle.gov/resource/2mgu-a8wu.json","02/03/2025 06:37:46 PM","08/26/2025 07:02:04 PM","02/03/2025 06:37:46 PM","false","0","0",null,null,null,null,null,null,null,null,null], [442,"8nez-wmwv","Household Types and Populations - Seattle Neighborhoods","Table from the American Community Survey (ACS) 5-year series on household types and population related topics for City of Seattle Council Districts, Comprehensive Plan Growth Areas and Community Reporting Areas. Table includes B11003 Family Type by Presence and Age of Own Children under 18 Years, B11005 Households by Presence of People Under 18 Years by Household Type, B11007 Households by Presence of People 65 Years and Over by Household Type, B11001 Household Type (Including Living Alone), B11002 Household Type by Relatives and Nonrelatives for Population in Households, B25003 Tenure, B25008 Total Population in Occupied Housing Units by Tenure, B09019 Household Type (Including Living Alone) by Relationship. Data is pulled from block group tables for the most recent ACS vintage and summarized to the neighborhoods based on block group assignment.

    Table created for and used in the Neighborhood Profiles application.

    Vintages: 2023
    ACS Table(s): B11003, B11005, B11007, B11001, B11002, B25003, B25008, B09019
    Data downloaded from: Census Bureau's Explore Census Data 


    The United States Census Bureau's American Community Survey (ACS):


    Vintages: 2023
    ACS Table(s): B08303, B25044, B08301
    Data downloaded from: Census Bureau's Explore Census Data 


    The United States Census Bureau's American Community Survey (ACS):
    This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Da","Allen Grissom","federated_href",null,"acs,acs-bg,american community survey,census,census block groups,demographics,gis,planning,seattle gis open data,transportation","https://data.seattle.gov/d/y5rb-tvdz","https://data.seattle.gov/resource/y5rb-tvdz.json","10/22/2024 09:12:40 PM","02/25/2025 07:08:19 PM","10/22/2024 09:12:40 PM","false","7","0",null,null,null,null,null,null,null,null,null], [444,"8fnw-5fi3","Parking Tiers","Displays Parking Tiers maintained by the Seattle Department of Transportation.

    Refresh Cycle: Daily

    Feature Class: SDOT.PARKINGTIERS
    ","Allen Grissom","federated_href",null,"common data layers,parking,parking tiers,sdot,seattle gis open data,transportation","https://data.seattle.gov/d/8fnw-5fi3","https://data.seattle.gov/resource/8fnw-5fi3.json","02/03/2025 06:37:38 PM","09/01/2025 07:03:53 PM","02/03/2025 06:37:38 PM","false","1","0",null,null,null,null,null,null,null,null,null], [445,"a3d3-cudh","Guardrails","Guardrails are devices designed to keep pedestrians and motor vehicles from straying off the road into potentially dangerous or off-limit areas of the ROW.  Guardrails improve safety and also protect the transportation infrastructure.

    Displays guardrails maintained by the Seattle Department of Transportation.

    View Layer: Link, which adds the recommended filter for general use of the dataset: 'STATUS = 'INSVC' OR STATUS is empty string'

    Refresh Cycle: Daily

    Feature Class: SDOT.V_GUARDRAILS
    ","Allen Grissom","federated_href",null,"common data layers,guardrails,sdot,seattle gis open data,transportation","https://data.seattle.gov/d/a3d3-cudh","https://data.seattle.gov/resource/a3d3-cudh.json","02/03/2025 06:37:40 PM","09/01/2025 07:03:36 PM","02/03/2025 06:37:40 PM","false","1","0",null,null,null,null,null,null,null,null,null], [446,"9k9u-degx","Curb Space Categories","Displays Curb Space Categories maintained by the Seattle Department of Transportation.

    Refresh Cycle: Daily

    Feature Class: SDOT.CURB_SPACES

    Update: 4/14/2025 BB - New category "MVZ" (Music Venue Zone) added
    ","Allen Grissom","federated_href",null,"common data layers,curb space categories,parking,sdot,seattle gis open data,transportation","https://data.seattle.gov/d/9k9u-degx","https://data.seattle.gov/resource/9k9u-degx.json","02/03/2025 06:37:40 PM","09/01/2025 07:03:44 PM","02/03/2025 06:37:40 PM","false","0","0",null,null,null,null,null,null,null,null,null], [447,"nc2r-8hjp","Traffic Circles","
    Displays traffic circles maintained by the Seattle Department of Transportation. Traffic circles are raised islands constructed at intersections of residential streets. Traffic circles provide separation of oncoming vehicles and cause motorists to decrease speed. The layer is limited to non-arterial neighborhood traffic circles and does not include arterial or non-arterial medians or islands. 

    Views: Link, adds recommended definition query for general use: 'CURRENT_STATUS IN(INSVC, PLNRECON, BLANK)'

    Refresh Cycle: Daily

    Feature Class: SDOT.V_TRAFCIRCLE
    ","Allen Grissom","federated_href",null,"common data layers,sdot,seattle gis open data,traffic circles,transportation","https://data.seattle.gov/d/nc2r-8hjp","https://data.seattle.gov/resource/nc2r-8hjp.json","02/03/2025 06:37:35 PM","09/01/2025 07:03:47 PM","02/03/2025 06:37:35 PM","false","0","0",null,null,null,null,null,null,null,null,null], [448,"qwma-jb2x","Aba Rem Catch Basins","This layer displays all the catch basins, catch basin grated tops, sandboxes, junction boxes, inlets and trash racks within the City of Seattle (and the former service area north of the City limits) regardless of ownership.
    A catch basin is a connector to the storm drain system that typically includes an inlet where stormwater enters the catch basin and a sump to capture sediment, debris, and associated pollutants prior to the surface water flowing into a storm or sewer pipe. There are two main types of inlets: side inlets and grated inlets.  Side inlets are located adjacent to the curb and rely on the ability of the opening under the curb to capture flow. Grated inlets have gratings or metal grids to prevent large objects and debris from falling into the combined sewer or drainage system.  They collect surface runoff for conveyance in a pipe system. Sandboxes have wooden lids and are filled with sand or gravel and drain directly into the ground or to a culvert as part of the informal drainage system. Sandboxes are no longer being installed. Junction boxes are cement structure with a grated metal lid, shallow in depth, generally connect culverts and are inline as part of the informal ditch and culvert system.  Trash racks are grated structures that collect debris. Trash racks may be on maintenance holes, catch basins, other structures, or streams.
    Data source is DWW.catch_basin_pt_pv, and DWW.APPURTENANCE_PT_PV. Maintained by SPU GIS DWW Data Maintenance staff. This layer does not display when zoomed out beyond 1:899.

    Refreshed daily.
    ","Allen Grissom","federated_href",null,"appurtenance point,catch basin,catch basin - grated top,cb,cbl,inl,inlet,jb,jbs,junction box,junction box with sump,sandbox,sb,seattle gis open data,trash racks,trr","https://data.seattle.gov/d/qwma-jb2x","https://data.seattle.gov/resource/qwma-jb2x.json","02/03/2025 06:38:06 PM","09/01/2025 07:03:55 PM","02/03/2025 06:38:06 PM","false","0","0",null,null,null,null,null,null,null,null,null], [449,"ig2v-f3qt","Citywide GSI BMP","
    This layer displays Citywide Green Stormwater Infrastructure\nBest Management Practices (City-wide GSI BMP) and Citywide Green Stormwater\nInfrastructure projects (City-wide GSI Project).

    Citywide GSI BMP is sourced from CARTO.GSI_BMP_PT_PV. \nLabels are based on the attribute BMP.  BMP codes listed in the BEST\nMANAGED PRACTICE (GB_BMP_TEXT) field are defined as follows:\n\n\n\n
    \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
    \n

    Code Value

    \n     		\n

    Text Value

    \n
    \n

    BIO

    \n     		\n

    Bioretention, infiltrating,\n installed by others

    \n
    \n

    BIN

    \n     		\n

    Bioretention, infiltrating, installed by SPU

    \n
    \n

    BND

    \n     		\n

    Bioretention, non-infiltrating, with\n detention

    \n
    \n

    BSU

    \n     		\n

    Biofiltration swale with underdrain

    \n
    \n

    BSW

    \n     		\n

    Biofiltration swale without\n underdrain

    \n
    \n

    BUC

    \n     		\n

    Bioretention swale, non-infiltrating, with underdrain in\n CSO basin

    \n
    \n

    BUN

    \n     		\n

    Bioretention Swale, non-infiltrating,\n with underdrain in non-CSO basin

    \n
    \n

    CRG

    \n     		\n

    Cistern to rain garden

    \n
    This layer displays all the catch basins, catch basin grated tops, sandboxes, junction boxes, inlets and trash racks within the City of Seattle (and the former service area north of the City limits) regardless of ownership.
    A catch basin is a connector to the storm drain system that typically includes an inlet where stormwater enters the catch basin and a sump to capture sediment, debris, and associated pollutants prior to the surface water flowing into a storm or sewer pipe. There are two main types of inlets: side inlets and grated inlets.  Side inlets are located adjacent to the curb and rely on the ability of the opening under the curb to capture flow. Grated inlets have gratings or metal grids to prevent large objects and debris from falling into the combined sewer or drainage system.  They collect surface runoff for conveyance in a pipe system. Sandboxes have wooden lids and are filled with sand or gravel and drain directly into the ground or to a culvert as part of the informal drainage system. Sandboxes are no longer being installed. Junction boxes are cement structure with a grated metal lid, shallow in depth, generally connect culverts and are inline as part of the informal ditch and culvert system.  Trash racks are grated structures that collect debris. Trash racks may be on maintenance holes, catch basins, other structures, or streams.
    Data source is DWW.catch_basin_pt_pv, and DWW.APPURTENANCE_PT_PV. Maintained by SPU GIS DWW Data Maintenance staff. This layer does not display when zoomed out beyond 1:899.

    Refreshed daily.
    ","Allen Grissom","federated_href",null,"appurtenance point,catch basin,catch basin - grated top,cb,cbl,inl,inlet,jb,jbs,junction box,junction box with sump,sandbox,sb,seattle gis open data,trash racks,trr","https://data.seattle.gov/d/sdfy-r7qu","https://data.seattle.gov/resource/sdfy-r7qu.json","02/03/2025 06:38:07 PM","09/01/2025 07:03:29 PM","02/03/2025 06:38:07 PM","false","0","0",null,null,null,null,null,null,null,null,null], [451,"ntqp-sqq4","Environmental Learning Center","Locations Environmental Learning Centers operated by Seattle Parks.

    Refresh Cycle: Weekly

    Feature Class: DPR.EnvEdCtr
    ","Allen Grissom","federated_href",null,"common data layers,environmental learning center,parks,seattle gis open data,spr","https://data.seattle.gov/d/ntqp-sqq4","https://data.seattle.gov/resource/ntqp-sqq4.json","02/03/2025 06:38:29 PM","09/01/2025 07:03:46 PM","02/03/2025 06:38:29 PM","false","0","0",null,null,null,null,null,null,null,null,null], [452,"wt8y-6s4w","Sidewalks","The sidewalk inventory was developed to assist staff in planning walkway development and to prioritize sidewalk improvements and maintenance.  Sidewalk locations will be based on the locations of the assets on either side of the street segments.  Expired assets are excluded.  The sidewalk system consists of paved walkways (concrete, asphalt, and pavers), a few soft-surface pathways.  

    Displays sidewalks maintained by the Seattle Department of Transportation.

    Views: Link, adds recommended definition query for general use: 'CURRENT_STATUS IN(INSVC, PLNRECON) OR CURRENT_STATUS is empty string'

    Refresh Cycle: Daily

    Feature Class: SDOT.V_SIDEWALKS
    ","Allen Grissom","federated_href",null,"common data layers,sdot,seattle gis open data,sidewalks,transportation","https://data.seattle.gov/d/wt8y-6s4w","https://data.seattle.gov/resource/wt8y-6s4w.json","02/03/2025 06:37:37 PM","09/01/2025 07:03:44 PM","02/03/2025 06:37:37 PM","false","0","0",null,null,null,null,null,null,null,null,null], [453,"wuxt-y5m8","Planned Bike Facilities","
    Bicycle related street and off-street improvements which consist of markings and hardscape that are intended to improve the movement of bicycles through the city. Existing facilities include all infrastructure currently on the ground with the following categories: protected bike lanes, buffered bike lanes, painted bike lanes, climbing lanes, neighborhood greenways, miscellaneous off-street facilities, and shared roadway markings (sharrows). Planned facilities are taken from the current Seattle Bicycle Master Plan and are subject to change as projects within the city are evaluated for their feasibility.

    Refresh Cycle: Daily Refresh

    Feature Class (Multi-use Trails): TRANSPO.SNDSEG_PV
    Feature Class (Existing and Planned Bike Facilities): SDOT.V_BikeFacilities
    ","Allen Grissom","federated_href",null,"bike,bike facilities,bike lanes,bike master plan,sdot,seattle gis open data,trails,transportation","https://data.seattle.gov/d/wuxt-y5m8","https://data.seattle.gov/resource/wuxt-y5m8.json","02/03/2025 06:37:41 PM","09/01/2025 07:03:40 PM","02/03/2025 06:37:41 PM","false","0","0",null,null,null,null,null,null,null,null,null], [454,"mtuh-7yuz","Traffic Signal Assemblies","A traffic signal controls the movement of vehicles, pedestrians and bicyclists, minimizes conflicts, and optimizes the flow of traffic throughout the street network. This dataset is also referenced as Accessible Pedestrian Signals.

    Displays traffic signal assemblies maintained by the Seattle Department of Transportation.

    Views: Link, adds recommended definition query for general use: 'CURRENT_STATUS IN(INSVC, PLNRECON) OR CURRENT_STATUS is empty string'

    Refresh Cycle: Daily

    Feature Class: SDOT.V_SIGNALS
    ","Allen Grissom","federated_href",null,"common data layers,sdot,seattle gis open data,traffic signal assemblies,transportation","https://data.seattle.gov/d/mtuh-7yuz","https://data.seattle.gov/resource/mtuh-7yuz.json","02/03/2025 06:37:35 PM","09/01/2025 07:03:40 PM","02/03/2025 06:37:35 PM","false","0","0",null,null,null,null,null,null,null,null,null], [455,"dmkr-s2s4","Tennis Centers","Seattle Parks and Recreation Tennis Center locations. Tennis Centers are indoor tennis locations that are focus on tennis programs.

    Refresh Cycle: Weekly

    Feature Class: DPR.TennisCenter
    ","Allen Grissom","federated_href",null,"common data layers,parks,seattle gis open data,spr,tennis centers","https://data.seattle.gov/d/dmkr-s2s4","https://data.seattle.gov/resource/dmkr-s2s4.json","02/03/2025 06:38:31 PM","09/01/2025 07:03:51 PM","02/03/2025 06:38:31 PM","false","0","0",null,null,null,null,null,null,null,null,null], [456,"djfb-e68n","Building Outlines 2015","Building roof outlines based on 2015 imagery. Update Areas of Change (AoC) identified from 2015 imagery, AoCs reviewed & accepted by Seattle Public Utilities. Update feature collection done in stereo with 2015 imagery. Original 2012 data removed from identified AoCs, newly collected 2015 data merged back into dataset. All data within 2015 AoCs is given an attribute of "2015" in the "YearUpdated" attribute field. Attribution includes updated building structures apex roof heights.

    Displays data from CGDB.BLDG2015_PLGN. 

    \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
    BP99_TYPE_CODEDESCRIPTION
    BLDBuilding
    DEKDeck
    GARGarage
    MSCMiscellaneous
    OBSObscured
    PATPatio
    UNKUnknown
    U_CUnder Construction

    Static data layer, no updates.
    ","Allen Grissom","federated_href",null,"apex,building,gis,outlines,roof,seattle gis open data","https://data.seattle.gov/d/djfb-e68n","https://data.seattle.gov/resource/djfb-e68n.json","02/03/2025 06:38:35 PM","02/27/2025 07:08:18 PM","02/03/2025 06:38:35 PM","false","0","0",null,null,null,null,null,null,null,null,null], [457,"x6jw-3r7f","Seattle City Council Districts","This layer reflects the district boundaries adopted by the Seattle Redistricting Commission in November 2022.

    Voters approved Charter Amendment 19 in the November 5, 2013 General And Special Election. The 2015 election was the first election conducted by district.  In addition to the seven councilmembers from the districts there are two at-large positions. The voter-approved changes to the City Charter require that the redrawing process happen every ten years.

    For more information, please see Office of City Clerk site.
    ","Allen Grissom","federated_href",null,"council districts,election,gis,seattle gis open data,voting","https://data.seattle.gov/d/x6jw-3r7f","https://data.seattle.gov/resource/x6jw-3r7f.json","02/03/2025 06:37:19 PM","02/27/2025 07:07:56 PM","02/03/2025 06:37:19 PM","false","0","0",null,null,null,null,null,null,null,null,null], [458,"28w5-gdpf","SPU Water Mains and Services","A grouped feature layer that includes Water Mains, Water Services, Same Side Tap Only and No New Taps layers.

    • Water Mains are large buried pipes that distribute water from a supply source ultimately to customer's service lines. 
    • Water Services are lines representing a water service delivered from a watermain to a property.
    • Same Side Tap Only and No New Taps are water main restrictions which represent the availability or access to water main assets. Same Side Tap Only are lines representing where water services are only allowed to be tapped on one side of the water main. 
    • No New Taps are lines representing water mains where new water services are no longer permitted to tap into the water main.
    This data provides a limited view of Seattle's water infrastructure. For example, the data does not include transmission pipelines or feeder mains for reasons of water system network security. The data may show water mains that are not eligible for new water service connections (e.g., obsolete or "no-tap" water mains).
    ","Allen Grissom","federated_href",null,"mains,no new taps,same side tap only,seattle gis open data,services,water,water main,water mains,water services","https://data.seattle.gov/d/28w5-gdpf","https://data.seattle.gov/resource/28w5-gdpf.json","02/03/2025 06:37:46 PM","08/26/2025 07:02:18 PM","02/03/2025 06:37:46 PM","false","0","0",null,null,null,null,null,null,null,null,null], [459,"netm-8y6z","Restricted Parking Zones","Displays Restricted Parking Zone Areas maintained by the Seattle Department of Transportation. This is a group layer consisting of the following layers:
    • Restricted Parking Zone Signed Blocks (V_RPZ)
    • Residents Eligible for Restricted Parking Zone Permits (V_Blockface, Def Query: Parking_Category <> 'None')
    • Restricted Parking Zone A or B Husky Game Days (RPZ_AreasAorB)
    • Restricted Parking Zones (RPZ_AreasNotAorB)
    Refresh Cycle: Daily
    ","Allen Grissom","federated_href",null,"common data layers,restricted parking zone areas,rpz,sdot,seattle gis open data,transportation","https://data.seattle.gov/d/netm-8y6z","https://data.seattle.gov/resource/netm-8y6z.json","02/03/2025 06:37:41 PM","09/01/2025 07:03:38 PM","02/03/2025 06:37:41 PM","false","0","0",null,null,null,null,null,null,null,null,null], [460,"smhw-5xs8","Pothole Status","Pothole Status layer is a layer that provides work management data from INFOR/Hansen regarding Pot Hole status data. Maintained by Seattle Department of Transportation.

    Feature Class: WM_POTHOLESTATUS

    Refresh Cycle: Daily

    Contact: Street Maintenance team
    ","Allen Grissom","federated_href",null,"gis,pothole,sdot,seattle gis open data,street maintenance,work management","https://data.seattle.gov/d/smhw-5xs8","https://data.seattle.gov/resource/smhw-5xs8.json","02/03/2025 06:37:42 PM","09/01/2025 07:03:37 PM","02/03/2025 06:37:42 PM","false","0","0",null,null,null,null,null,null,null,null,null], [461,"cyf7-3ujh","Rental Units by Affordability Category","
    Displacement risk indicator showing the distribution of renter households and renter units between different income brackets, covering the entire city from 2006 to the most recent year of data available.
    ","Allen Grissom","federated_href",null,"gis,hdri,ipums,planning,seattle gis open data","https://data.seattle.gov/d/cyf7-3ujh","https://data.seattle.gov/resource/cyf7-3ujh.json","10/22/2024 09:13:11 PM","01/31/2025 07:27:39 PM","10/22/2024 09:13:11 PM","false","4","0",null,null,null,null,null,null,null,null,null], [462,"x6b3-4w76","2022 Traffic Flow Counts","Displays vehicle traffic volumes for arterial streets in Seattle based on spot studies that have been adjusted for seasonal variation. Data is a one time snapshot for 2022 and is maintained by Seattle Department of Transportation.

    Contact: Traffic Operations

    Refresh Cycle: None, Snapshot for 2022 Only.
    ","Allen Grissom","federated_href",null,"2022,counts,flow,gis,sdot,seattle,seattle gis open data,traffic,transportation,volume,wa","https://data.seattle.gov/d/x6b3-4w76","https://data.seattle.gov/resource/x6b3-4w76.json","02/03/2025 06:37:54 PM","07/14/2025 07:07:20 PM","02/03/2025 06:37:54 PM","false","7","0",null,null,null,null,null,null,null,null,null], [463,"9zwf-kggq","Early Design Guidance Applications by Census Tract","Displacement risk indicator showing the number of Early Design Guidance building permits filed with the Seattle Department of Construction and Inspections (SDCI) summarized at the census tract level; \navailable for every year from 2006 through the most recent year of \navailable data.","Allen Grissom","federated_href",null,"gis,hdri,planning,sdci,seattle gis open data","https://data.seattle.gov/d/9zwf-kggq","https://data.seattle.gov/resource/9zwf-kggq.json","02/03/2025 06:37:23 PM","02/27/2025 07:09:15 PM","02/03/2025 06:37:23 PM","false","0","0",null,null,null,null,null,null,null,null,null], [464,"93bk-qn72","Apartment Market Vacancy by Community Reporting Area","Displacement risk indicator classifying community reporting areas according to apartment vacancy rates. Vacancy rates are calculated at the Community Reporting Area level, which are a combination of one or more census tracts. We visualize them as census tracts here, but columns should not be summed to make a total. We include both vacancy rates and change in year over year vacancy rates.

    Note: Vacancy rate calculations include market-rate and mixed-income multifamily apartment properties with 5 or more rental units in Seattle, excluding special types like student, senior, corporate or military housing.

    Source: Data from CoStar Group, www.costar.com, prepared by City of Seattle, Office of Planning and Community Development
    ","Allen Grissom","federated_href",null,"gis,gis open data,hdri,planning,seattle","https://data.seattle.gov/d/93bk-qn72","https://data.seattle.gov/resource/93bk-qn72.json","02/03/2025 06:38:36 PM","03/25/2025 07:09:04 PM","02/03/2025 06:38:36 PM","false","0","0",null,null,null,null,null,null,null,null,null], [465,"36m9-wpxk","Seattle City Light Poles","

    Displays the generalized point locations of electrical poles within the Seattle City Light service area. Attributes include the pole height, pole ID, and whether the pole has a streetlight. Sensitive data has been removed for security and customer privacy reasons. Please use this data for planning purposes only. For more detailed data, contact scl_gis_analysis@seattle.gov.

    Data Source: SCL_PUB_Lines

    Refresh Cycle: Quarterly

    Attribute information: 

    Facility Type (SUBTYPECD): 1-DistributionPole 

    FEMA flood prone areas with 100 foot buffer. Original flood prone areas where table digitized into the City of Seattle GIS CGDB control layer in the mid 90's. Layer may be used without the buffer by unselecting the flood = 1 feature type.
    This layer is used by the City as an aid to evaluate construction sites for the presence of flood prone areas pertinent to Environmentally Critical Areas (ECA)  regulations.

    Areas that would likely be covered with or carry water as a result of a one hundred (100) year flood event, or that would have a one percent (1%) or greater chance of being covered with or of carrying water in any given year based on current circumstances or maximum development permitted under existing zoning.

    For more information about the definition of flood prone areas, see Seattle Municipal Code section 25.09.012, Environmentally Critical Areas (ECA) definitions. 

    Updated as needed.
    ","Allen Grissom","federated_href",null,"landuse,terrain,eca,flood prone areas,environmental,seattle gis open data,sdci,planning","https://data.seattle.gov/d/etsn-d63y","https://data.seattle.gov/resource/etsn-d63y.json","02/03/2025 06:38:39 PM","02/27/2025 07:08:55 PM","02/03/2025 06:38:39 PM","false","0","0",null,null,null,null,null,null,null,null,null], [467,"wi5y-wc9n","ECA Peat Settlement Prone Areas","Displays Environmentally Critical Areas (ECA) in the City of Seattle. For more information about the definition of the ECA layers, see Seattle Municipal Code section 25.09.

    Updated as needed.
    ","Allen Grissom","federated_href",null,"seattle gis open data,eca","https://data.seattle.gov/d/wi5y-wc9n","https://data.seattle.gov/resource/wi5y-wc9n.json","02/03/2025 06:38:21 PM","02/27/2025 07:09:12 PM","02/03/2025 06:38:21 PM","false","0","0",null,null,null,null,null,null,null,null,null], [468,"bmkf-bpuw","ECA Known Slide Areas","
    Displays areas of landslide events based on a Seattle Landslide Study completed by Shannon and Wilson.

    A polygon feature class showing landslide event inventory. Used to implement and regulate the City of Seattle's Environmentally Critical Areas (ECA) policies. This layer includes a more comprehensive collection of slide events maintained by Shannon and Wilson via the Seattle Landslide Study which included slide data through June 1999.

    The Known Slide layer was most recently updated under SDCI Director's Rule 12-2019.

    For more information about the definition of known slide areas, see Seattle Municipal Code section 25.09.012, Environmentally Critical Areas (ECA) definitions.

    Updated as needed.
    ","Allen Grissom","federated_href",null,"planning,sdci,eca,environmental,known slide events,landuse,seattle gis open data","https://data.seattle.gov/d/bmkf-bpuw","https://data.seattle.gov/resource/bmkf-bpuw.json","02/03/2025 06:38:20 PM","04/10/2025 07:03:23 PM","02/03/2025 06:38:20 PM","false","0","0",null,null,null,null,null,null,null,null,null], [469,"8bv9-jxwt","SPU DWW Surface Drainage Curb and Gutter","
    Displays the data from DWW.ditch_culvert_ln_pv with the following query, DCH_LIFECYCLE_CODE IN ( 'C' , 'UNK' , 'T', 'TBC', 'U', 'PC' ) And DCH_FEATYPE_CODE IN ( 'CDC' , 'CRB' ,  'SDR' , 'UNK' ).  The layer is symbolized on the attribute SYMBOL.  Labels are based on the attribute DCH_OWNER_NAME.  This layer will not display when zoomed out beyond 1:7,000.  Maintained by SPU GIS DWW Data Maintenance staff.
    Refreshed weekly.  
    ","Allen Grissom","federated_href",null,"seattle gis open data,sdr,cdr,crb,curb,curb drain cut,gutter,surface drainage","https://data.seattle.gov/d/8bv9-jxwt","https://data.seattle.gov/resource/8bv9-jxwt.json","02/03/2025 06:38:08 PM","02/27/2025 07:09:00 PM","02/03/2025 06:38:08 PM","false","7","0",null,null,null,null,null,null,null,null,null], [470,"kyhe-id7d","Seattle Tree Centroids 2021","This dataset represents tree centroids derived from LiDAR data. The tree centroids are the estimated location of the central point of each tree. The tree centroids were derived using LiDAR data. The operation was constrained to those areas of tree canopy, using the tree canopy dataset developed separately for this project, which employed automated techniques coupled with manual editing to extract tree canopy from imagery and LiDAR. Mapping of tree centroids was performed using an automated feature extraction technique that incorporated segmentation and morphology routines. The automated routine first created objects from the tree canopy using an inverse watershed segmentation algorithm applied to the LiDAR nDSM (normalized digital surface model) datasets. These objects were then refined using the spatial properties of the objects. Centroids were computed by finding the geometric center of the tree object. Attributes include the tree height and radius. The height was calculated using the 98th quantile of the LiDAR nDSM height to reduce outlier values. The radius was then calculated from the tree centroid using the formula.

    For more information, please see the 2021 Tree Canopy Assessment.
    ","Allen Grissom","federated_href",null,"land cover,seattle gis open data,seattle office of sustainability & environment,environment,seattle,biota,2021,2016,tree canopy","https://data.seattle.gov/d/kyhe-id7d","https://data.seattle.gov/resource/kyhe-id7d.json","02/03/2025 06:37:15 PM","02/27/2025 07:08:55 PM","02/03/2025 06:37:15 PM","false","0","0",null,null,null,null,null,null,null,null,null], [471,"svrm-tsxm","TAP21 bg Seattle - Possible TC - Vegetation (%)","

    This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.

    University of Vermont Spatial Analysis Laboratory in collaboration with City of Seattle.

    This dataset consists of City of Seattle Block Groups areas which cover the following tree canopy categories: 

    • Existing tree canopy percent 
    • Possible tree canopy - vegetation percent 
    • Relative percent change 
    • Absolute percent change
    For more information, please see the 2021 Tree Canopy Assessment.

    ","Allen Grissom","federated_href",null,"tree canopy,block groups,2016,environment,seattle office of sustainability & environment,land cover,seattle,seattle gis open data,2021,biota","https://data.seattle.gov/d/svrm-tsxm","https://data.seattle.gov/resource/svrm-tsxm.json","02/03/2025 06:38:42 PM","02/27/2025 07:08:49 PM","02/03/2025 06:38:42 PM","false","381","0",null,null,null,null,null,null,null,null,null], [472,"7uwp-sh9b","Seattle Tree Canopy 2016 2021 RSE Census Tracts","
    This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.

    University of Vermont Spatial Analysis Laboratory

    The dataset covers the following tree canopy categories:
    • Environmental Justice Priority Areas
    • Census tracts composite / quintile
    • Existing tree canopy percentage & environmental justice priority level
    • Existing tree canopy
    • Possible tree canopy
    • Relative percentage change
    For more information, please see the 2021 Tree Canopy Assessment.
    ","Allen Grissom","federated_href",null,"seattle gis open data,2016,2021,biota,block groups,environment,land cover,seattle,seattle office of sustainability & environment,tree canopy","https://data.seattle.gov/d/7uwp-sh9b","https://data.seattle.gov/resource/7uwp-sh9b.json","02/03/2025 06:38:23 PM","02/27/2025 07:07:54 PM","02/03/2025 06:38:23 PM","false","1","0",null,null,null,null,null,null,null,null,null], [473,"v398-hz8f","2010 Census Block Seattle - Population Statistics","Data from:  2010 Decennial Census

    Decennial population data for Census Blocks in the City of Seattle.
    ","Allen Grissom","federated_href",null,"census,dc2010,demographics,seattle gis open data,population,planning,gis,blocks","https://data.seattle.gov/d/v398-hz8f","https://data.seattle.gov/resource/v398-hz8f.json","02/03/2025 06:38:08 PM","02/27/2025 07:08:02 PM","02/03/2025 06:38:08 PM","false","0","0",null,null,null,null,null,null,null,null,null], [474,"rufp-nuev","Frequent Transit Network","Frequent, reliable transit service is the foundation of a transportation system that empowers all travelers and makes Seattle a truly transit-friendly city. A robust transit network is essential if Seattle is to meet its climate goals and address transportation-related inequities. At its most fundamental level, a transit network is made up of transit infrastructure such as bus lanes, transit signals, and bus stops, often arranged in corridors.  

    The transit service that travels on this infrastructure can be described as a series of routes that connect different parts of a community for a number of hours per day at a certain frequency (the number of trips at a bus stop per hour). SDOT’s vision for the service aspect of the transit network is followed by a vision for transit infrastructure in the sections below. 

    Public input and surveys consistently point to transit frequency as the most critical factor that influences ridership behavior. This fundamental concept directly informs SDOT’s shared vision for a “Frequent Transit Network” (FTN), which builds from the 2016 Transit Master Plan (TMP) and establishes aspirational frequency targets for transit corridors throughout the city. A high-frequency transit network enables people to move through the city with confidence in a timely arrival—and without the need to consult a schedule—throughout the day and every single day of the week. Continual investment in improved transit frequency in Seattle is essential for many reasons:  
    • Post-pandemic transit is likely to remain less commuter-focused and oriented specifically to Downtown Seattle and must adapt to new travel behaviors and patterns. 
    • To support everyday trips by transit (not just commutes), people need reliable mobility at all times, such as early mornings, midday, evenings and at night all days of the week, not just at peak times on weekdays.  
    • Transit needs to accommodate work schedules of non-traditional and low-income workers including the times noted above. 
    • Transit should be attractive for all types of trips throughout the week, including education, shopping, and recreational trips, as well as cultural gatherings. 
    • An excellent transit network is necessary to accommodate the mode shift required to respond to the impacts of climate change in the next decade. 
    • Frequent transit reduces wait time, increases reliability, and values the time for existing and future riders. 
    • Frequent transit makes transfers more feasible and allows a network of routes to function as a system. 
    • A connected network of frequent transit services is also critical to achieve STP climate goals, which require dramatic increases in transit ridership and VMT reduction to support broader efforts to reduce greenhouse gas (GHG) emissions from transportation.  
    • High transit frequencies as part of a reliable, all-day service network can create a more equitable transportation system, making it possible for people of all ages, incomes, and abilities to get where they want to go regardless of when or where they need to travel. The Transit Element presents a vision for frequent transit service in Seattle that goes beyond the original Frequent Transit Network (FTN) presented in the 2016 Transit Master Plan.  

    Refresh Cycle: None, Static. Manually as required.
    • Original Publish: 5/23/2024
    • Update Publish: 7/11/2024 per Policy and Planning team
    Contact: Policy and Planning team.
    ","Allen Grissom","federated_href",null,"stp,seattle transportation plan,light rail,sdot,seattle gis open data,bus,gis,transit element,transit","https://data.seattle.gov/d/rufp-nuev","https://data.seattle.gov/resource/rufp-nuev.json","02/03/2025 06:38:02 PM","02/27/2025 07:09:21 PM","02/03/2025 06:38:02 PM","false","1","0",null,null,null,null,null,null,null,null,null], [475,"kyfh-cgb6","TAP21 bg Seattle - Absolute % Change","

    This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.

    University of Vermont Spatial Analysis Laboratory in collaboration with City of Seattle.

    This dataset consists of City of Seattle Block Groups areas which cover the following tree canopy categories: 

    • Existing tree canopy percent 
    • Possible tree canopy - vegetation percent 
    • Relative percent change 
    • Absolute percent change
    For more information, please see the 2021 Tree Canopy Assessment.

    ","Allen Grissom","federated_href",null,"2016,2021,biota,block groups,environment,land cover,seattle,seattle gis open data,seattle office of sustainability & environment,tree canopy","https://data.seattle.gov/d/kyfh-cgb6","https://data.seattle.gov/resource/kyfh-cgb6.json","02/03/2025 06:37:15 PM","02/27/2025 07:08:47 PM","02/03/2025 06:37:15 PM","false","7","0",null,null,null,null,null,null,null,null,null], [476,"ridt-s6hy","Low Fire Flow Areas","Map of areas in Neighborhood Residential zones served only by low-flow hydrants (with less than 1,000gpm flow rate). This layer is used by Seattle Department of Construction and Inspections (SDCI) to route permits in Neighborhood Residential zoned areas to Seattle Fire Department (SFD) for Plan Review. 

    This layer was last updated in March 2020. Future updates as needed based on Zoning changes and updates to Seattle Public Utilities (SPU) fire hydrant data.
    ","Allen Grissom","federated_href",null,"low fire flow areas,sdci","https://data.seattle.gov/d/ridt-s6hy","https://data.seattle.gov/resource/ridt-s6hy.json","04/29/2025 07:03:10 PM","05/06/2025 07:04:15 PM","04/29/2025 07:03:10 PM","false","383","0",null,null,null,null,null,null,null,null,null], [477,"4r2a-ygsa","Infiltration Potential","
    Planning level Infiltration Potential - NOT FOR ENGINEERING DESIGN. A starting point to determine if a Seattle modified PIT test should be considered for a site under development that is considering infiltration using green stormwater infrastructure or low impact development techniques. See PIT test information in the 2009 Stormwater Directors' Rule - Volume 3: Stormwater Flow Control and Water Quality Treatment Appendix E: City of Seattle Modified Procedure for Conducting a Pilot Infiltration Test. 

    Uses data from UTIL.UW_INFILTRATION, symbolized based on PERMEABILITY field.
    ","Allen Grissom","federated_href",null,"geotechnical,low impact development,lid,infiltration,gsi,green stormwater infrastructure,bioretention systems,geological,gis,seattle gis open data,rain gardens,porous,pervious,permeable pavement","https://data.seattle.gov/d/4r2a-ygsa","https://data.seattle.gov/resource/4r2a-ygsa.json","02/03/2025 06:38:18 PM","02/27/2025 07:09:14 PM","02/03/2025 06:38:18 PM","false","1","0",null,null,null,null,null,null,null,null,null], [478,"anpn-ahzf","SPU DWW Catch Basins, Inlets, Junction Boxes, Sandboxes and Trash Racks","This layer displays all the catch basins, catch basin grated tops, sandboxes, junction boxes, inlets and trash racks within the City of Seattle (and the former service area north of the City limits) regardless of ownership.
    A catch basin is a connector to the storm drain system that typically includes an inlet where stormwater enters the catch basin and a sump to capture sediment, debris, and associated pollutants prior to the surface water flowing into a storm or sewer pipe. There are two main types of inlets: side inlets and grated inlets.  Side inlets are located adjacent to the curb and rely on the ability of the opening under the curb to capture flow. Grated inlets have gratings or metal grids to prevent large objects and debris from falling into the combined sewer or drainage system.  They collect surface runoff for conveyance in a pipe system. Sandboxes have wooden lids and are filled with sand or gravel and drain directly into the ground or to a culvert as part of the informal drainage system. Sandboxes are no longer being installed. Junction boxes are cement structure with a grated metal lid, shallow in depth, generally connect culverts and are inline as part of the informal ditch and culvert system.  Trash racks are grated structures that collect debris. Trash racks may be on maintenance holes, catch basins, other structures, or streams.
    Data source is DWW.catch_basin_pt_pv, and DWW.APPURTENANCE_PT_PV. Maintained by SPU GIS DWW Data Maintenance staff. This layer does not display when zoomed out beyond 1:899.

    Refreshed daily.
    ","Allen Grissom","federated_href",null,"jb,trr,trash racks,seattle gis open data,sb,sandbox,junction box with sump,junction box,jbs,inlet,inl,cbl,cb,catch basin - grated top,catch basin,appurtenance point","https://data.seattle.gov/d/anpn-ahzf","https://data.seattle.gov/resource/anpn-ahzf.json","02/03/2025 06:38:05 PM","02/27/2025 07:08:15 PM","02/03/2025 06:38:05 PM","false","0","0",null,null,null,null,null,null,null,null,null], [479,"uq57-rhc3","Seattle City Light UG Structures","Displays the generalized point locations of underground electrical structures (handholes, manholes, pads and vaults) within the Seattle City Light service area. Attributes include the type of structureTable from the American Community Survey (ACS) B17004 of poverty status in the past 12 months of individuals by sex by work experience. These are multiple, nonoverlapping vintages of the 5-year ACS estimates of population and housing attributes starting in 2010 shown by the corresponding census tract vintage. Also includes the most recent release annually.

    King County, Washington census tracts with nonoverlapping vintages of the 5-year American Community Survey (ACS) estimates starting in 2010. Vintage identified in the "ACS Vintage" field.

    The census tract boundaries match the vintage of the ACS data (currently 2010 and 2020) so please note the geographic changes between the decades. 

    Tracts have been coded as being within the City of Seattle as well as assigned to neighborhood groups called "Community Reporting Areas". These areas were created after the 2000 census to provide geographically consistent neighborhoods through time for reporting U.S. Census Bureau data. This is not an attempt to identify neighborhood boundaries as defined by neighborhoods themselves.

    Vintages: 2010, 2015, 2020, 2021, 2022, 2023
    ACS Table(s): B17004
    Data downloaded from: Census Bureau's Expl","Allen Grissom","federated_href",null,"population,census,american community survey,acssnapapp,acs,demographics,poverty,seattle gis open data,tracts,planning,gis","https://data.seattle.gov/d/iqig-hn27","https://data.seattle.gov/resource/iqig-hn27.json","10/22/2024 09:11:38 PM","01/31/2025 07:27:44 PM","10/22/2024 09:11:38 PM","false","1","0",null,null,null,null,null,null,null,null,null], [481,"ycvd-cnc3","Public School Buffer (0.25 mi.)","Feature layer generated via the Create Drive Times tool. Inputs include SPS school access points & a walking distance of 0.25 mi. *to* each school access point.","Allen Grissom","federated_href",null,"drive times,seattle school access points - public school access points,seattle gis open data,analysis result","https://data.seattle.gov/d/ycvd-cnc3","https://data.seattle.gov/resource/ycvd-cnc3.json","02/03/2025 06:37:26 PM","02/27/2025 07:08:56 PM","02/03/2025 06:37:26 PM","false","0","0",null,null,null,null,null,null,null,null,null], [482,"84k2-f3rf","Zoned Development Capacity Layers 2016","

    These layers are used as part of the City of Seattle Zoned Development Capacity Model 2016. Includes all input and output layers..

    To estimate potential development, the City of Seattle maintains a zoned development capacity model that compares existing development to an estimate of what could be built under current zoning.

    The difference between existing and potential development yields the capacity for new residential and commercial development.

    There is a report of summary findings available as part of Seattle 2035 as well as resources for reports, methodologies and data.

    When downloading the data, please select a layer and then "GDB Download" under "Additional Resources" to preserve long field names.  The associated file geodatabase contains all the feature classes for the 10 layers represented.

    ","Allen Grissom","federated_href",null,"zoned capacity,buildable lands,capacity,capacity model 2016,devcapapp,development,gis,planning,seattle gis open data,zoning","https://data.seattle.gov/d/84k2-f3rf","https://data.seattle.gov/resource/84k2-f3rf.json","02/03/2025 06:37:27 PM","02/27/2025 07:08:00 PM","02/03/2025 06:37:27 PM","false","0","0",null,null,null,null,null,null,null,null,null], [483,"h8ky-85gz","High Impact Areas","Provides a visual representation of areas that are of heightened concern for SDOT Street Use, whether because of intense development and construction activity, increased scrutiny, increased safety concerns, or other reason. 

    | Attibute Information: High_Impact_Areas_OD.pdf

    | Update Cycle: As Needed  
    | Contact Email: DOT_IT_GIS@seattle.gov

    Common SDOT Queries:
    | SDOT HUBS 
    STATUS = 'HUB'

    https://www.seattle.gov/transportation/projects-and-programs/programs/project-and-construction-coordination-office/construction-hub-coordination","Allen Grissom","federated_href",null,"gis,high impact areas,sdot,seattle,seattle gis open data,streets,street use,transportation,wa","https://data.seattle.gov/d/h8ky-85gz","https://data.seattle.gov/resource/h8ky-85gz.json","02/03/2025 06:37:30 PM","08/27/2025 07:04:03 PM","02/03/2025 06:37:30 PM","false","0","0",null,null,null,null,null,null,null,null,null], [484,"qhi4-3m8r","Citywide GSI Project","
    This layer displays Citywide Green Stormwater Infrastructure\nBest Management Practices (City-wide GSI BMP) and Citywide Green Stormwater\nInfrastructure projects (City-wide GSI Project).

    Citywide GSI BMP is sourced from CARTO.GSI_BMP_PT_PV. \nLabels are based on the attribute BMP.  BMP codes listed in the BEST\nMANAGED PRACTICE (GB_BMP_TEXT) field are defined as follows:\n\n\n\n
    \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
    \n

    Code Value

    \n     		\n

    Text Value

    \n
    \n

    BIO

    \n     		\n

    Bioretention, infiltrating,\n installed by others

    \n
    \n

    BIN

    \n     		\n

    Bioretention, infiltrating, installed by SPU

    \n
    \n

    BND

    \n     		\n

    Bioretention, non-infiltrating, with\n detention

    \n
    \n

    BSU

    \n     		\n

    Biofiltration swale with underdrain

    \n
    \n

    BSW

    \n     		\n

    Biofiltration swale without\n underdrain

    \n
    \n

    BUC

    \n     		\n

    Bioretention swale, non-infiltrating, with underdrain in\n CSO basin

    \n
    \n

    BUN

    \n     		\n

    Bioretention Swale, non-infiltrating,\n with underdrain in non-CSO basin

    \n
    \n

    CRG

    \n     		\n

    Cistern to rain garden

    \n
    Displays Combined Tree Point maintained by the Seattle Department of Transportation. This is a presentation view of 5 contributing datasets from 4 city departments. Contributing datasets:
    • SDOT: SDOT.V_TREES
    • SPR: DPR.TREES_PT
    • SDCI: DPD.Trees
    • SPU: UTIL.URBAN_TREE_PT
    • SPU: UTIL.TFN_Planting_Location
    This is a redacted view and is intended for public use.

    Refresh Cycle: Weekly

    Feature Class: SDOT.COMBINED_TREE_PT
    ","Allen Grissom","federated_href",null,"combined tree point,common data layers,sdot,seattle gis open data,transportation,trees","https://data.seattle.gov/d/w7kd-mpvs","https://data.seattle.gov/resource/w7kd-mpvs.json","02/03/2025 06:38:15 PM","08/30/2025 07:03:48 PM","02/03/2025 06:38:15 PM","false","0","0",null,null,null,null,null,null,null,null,null], [486,"rxqr-mrfr","Option High School Geo Zones 2023-2024","

    2023 - 2024 option high school 'geo-zone' boundaries for Seattle Public Schools.

    Students who want to attend an option school need to apply. No one is assigned automatically to an option school. Each option school has a geographic priority area (geo zone). The geographic zone tiebreaker is for applicants to an option school who live within a defined area in proximity to the school. Please note that living within the geographic zone does not guarantee assignment to the requested option school, but gives a priority for admission after siblings. Geo Zones may change from year to year as a tool for capacity management.

    For questions, please contact enrollmentplanning@seattleschools.org

    ","Allen Grissom","federated_href",null,"sps,seattle gis open data,high school,gis,seattle public schools","https://data.seattle.gov/d/rxqr-mrfr","https://data.seattle.gov/resource/rxqr-mrfr.json","02/03/2025 06:38:16 PM","02/27/2025 07:09:05 PM","02/03/2025 06:38:16 PM","false","0","0",null,null,null,null,null,null,null,null,null], [487,"2un7-pfix","Mandatory Housing Affordability (MHA) Zones","
    Note:  This map is not an official zoning map.  For precise zoning information, please call or visit the Seattle Municipal Tower, Seattle Department of Construction and Inspections

    Zoning areas where Mandatory Housing Affordability requirements may apply.

    Mandatory Housing Affordability requires new development to contribute to affordable housing by including affordable housing in the development or making a payment to the City’s Office of Housing to support affordable housing. The amount of the MHA contribution varies based on a property’s location and other factors specified in Seattle Municipal Code Chapters 23.58B and 23.58C.  
    ","Allen Grissom","federated_href",null,"mha,gis,land use,planning,sdcizoningmap,seattle gis open data,zoning","https://data.seattle.gov/d/2un7-pfix","https://data.seattle.gov/resource/2un7-pfix.json","02/03/2025 06:38:11 PM","07/30/2025 07:05:39 PM","02/03/2025 06:38:11 PM","false","0","0",null,null,null,null,null,null,null,null,null], [488,"erdu-ce8m","ECA Known Slide Scarps","
    Displays areas of landslide events based on a Seattle Landslide Study completed by Shannon and Wilson.

    A polygon feature class showing landslide event inventory. Used to implement and regulate the City of Seattle's Environmentally Critical Areas (ECA) policies. This layer includes a more comprehensive collection of slide events maintained by Shannon and Wilson via the Seattle Landslide Study which included slide data through June 1999.

    The Known Slide layer was most recently updated under SDCI Director's Rule 12-2019.

    For more information about the definition of known slide areas, see Seattle Municipal Code section 25.09.012, Environmentally Critical Areas (ECA) definitions.

    Updated as needed.
    ","Allen Grissom","federated_href",null,"eca,environmental,known slide events,landuse,planning,sdci,seattle gis open data,terrain","https://data.seattle.gov/d/erdu-ce8m","https://data.seattle.gov/resource/erdu-ce8m.json","02/03/2025 06:38:39 PM","08/13/2025 07:03:50 PM","02/03/2025 06:38:39 PM","false","0","0",null,null,null,null,null,null,null,null,null], [489,"knqm-qe3f","SPU DWW Other GSI Footprints","The DWW (Drainage and Waste Water) GSI (Green Stormwater Infrastructure) layer consists of line and polygon representations of the following features: Swales (biofiltration, bioretention, biofiltration/bioretention, and conveyance) are generally shallow depressions with a designed mix of soil and plants which break down pollutants through natural processes while reducing runoff. Permeable pavement is a paving system which allows rainfall to percolate into an underlying soil or aggregate storage reservoir. Underdrain piping systems are provided to prevent prolonged ponding of stormwater or to collect and convey water to another facility. Rain gardens are less engineered systems that are designed to mitigate water from the sidewalk only and have two inches or less of ponded depth. The drainage structures represented in the GSI points are not all unique to GSI, however, they are specifically part of SPU GSI projects.

    The data is being refreshed weekly.
    ","Allen Grissom","federated_href",null,"biofiltration,bioretention,conveyance,dww,gis,green roof,green storm infrastructure,gsi,modular soil cell,permeable pavement,polygon,rain garden,seattle gis open data,silva cell,spu,surface drainage,surface drainline,swale","https://data.seattle.gov/d/knqm-qe3f","https://data.seattle.gov/resource/knqm-qe3f.json","02/03/2025 06:37:52 PM","08/26/2025 07:01:55 PM","02/03/2025 06:37:52 PM","false","0","0",null,null,null,null,null,null,null,null,null], [490,"wqmn-zt86","PanelMarkings","View of Channelization data represents roadway paint lines, curbs, and other markings that delineate traffic lanes, bike routes, bus zones, etc. which are critical for public safety.

    Common Data Layer: Common data layer created from a read only view from this feature layer. It is owned by SDOT Transportation account and will be made available in Open Data.

    Refresh Cycle: None, Dynamic via AutoCAD updates

    Channelization data consists of the following layers:
    1. Vertical Elements
    2. Lane Widths
    3. Panel Markings
    4. Longitudinal Markings
    5. Transverse Markings
    6. Legend and Symbols
    7. General Background
    ","Allen Grissom","federated_href",null,"sdot,channelization,seattle gis open data","https://data.seattle.gov/d/wqmn-zt86","https://data.seattle.gov/resource/wqmn-zt86.json","02/03/2025 06:37:22 PM","08/29/2025 07:04:41 PM","02/03/2025 06:37:22 PM","false","0","0",null,null,null,null,null,null,null,null,null], [491,"fbgn-29f4","Share of Renter Households by Income Category","
    Displacement risk indicator showing the distribution of renter households and renter units between different income brackets, covering the entire city from 2006 to the most recent year of data available.
    ","Allen Grissom","federated_href",null,"planning,gis,hdri,ipums,seattle gis open data","https://data.seattle.gov/d/fbgn-29f4","https://data.seattle.gov/resource/fbgn-29f4.json","10/22/2024 09:13:10 PM","01/31/2025 07:27:35 PM","10/22/2024 09:13:10 PM","false","3","0",null,null,null,null,null,null,null,null,null], [492,"87tp-nz2a","Docks Piers and Floats","Complete listing of of docks, piers, floats, and boat ramps that Seattle Parks and Recreation maintains.

    Refresh Cycle: Weekly

    Feature Class: DPR.DockPierFloat
    ","Allen Grissom","federated_href",null,"common data layers,docks piers and floats,parks,seattle gis open data,spr","https://data.seattle.gov/d/87tp-nz2a","https://data.seattle.gov/resource/87tp-nz2a.json","02/03/2025 06:38:30 PM","09/01/2025 07:03:47 PM","02/03/2025 06:38:30 PM","false","0","0",null,null,null,null,null,null,null,null,null], [493,"xemx-mjad","Middle School Attendance Areas 2023-2024","

    An attendance area school is one to which elementary, middle and high-school students are assigned based on where they live, as long as the school offers the services the student needs.

    For questions, please contact enrollmentplanning@seattleschools.org

    ","Allen Grissom","federated_href",null,"attendance,gis,middle school,seattle gis open data,seattle public schools,sps","https://data.seattle.gov/d/xemx-mjad","https://data.seattle.gov/resource/xemx-mjad.json","02/03/2025 06:38:16 PM","02/27/2025 07:07:54 PM","02/03/2025 06:38:16 PM","false","0","0",null,null,null,null,null,null,null,null,null], [494,"cvpv-wvmp","SPU DWW Mainline Points","SPU DWW Mainline Points is a Group Layer containing all Lifecycles, Ownerships, and other variations of Drainage and Wastewater Mainlines Points.

    Proposed Mainline End Points are planned but not yet installed or as-built.

    SPU DWW Aba Rem Mainline End Points refers to Abandoned and Removed Mainline End Points.

    Force Mainline End Points are Mainline End Points under pressure. Detention Lines and Polygons refer to Mainline End Points for Detention Infrastructure.

    DWW Mainline Connection Points Wyes refer to side sewer and lateral connection points on mainlines.

    The data is refreshed weekly and is maintained by the SPU GIS Data Maintenance Team. 
    ","Allen Grissom","federated_href",null,"seattle gis open data,mainline,external,endpoints,dww,spu,sewer,points","https://data.seattle.gov/d/cvpv-wvmp","https://data.seattle.gov/resource/cvpv-wvmp.json","02/03/2025 06:38:14 PM","02/27/2025 07:08:28 PM","02/03/2025 06:38:14 PM","false","0","0",null,null,null,null,null,null,null,null,null], [495,"2m8x-77pz","Non-Mainline Points","
    This layer displays all the connected and to be connected non-mainline points within the City of Seattle (and the former service area north of the City limits) regardless of ownership.  The data source is DWW.non_mainline_pt_pv with the following data query, NMNLPT_LIFECYCLE_CODE IN( 'C' , 'UNK' , 'T' ,'TBC', 'U', 'PC') AND NMNLPT_FEATYPE_CODE <> 'WQS'.  The layer is symbolized on the attribute FEATYPE. The labels are based on the attribute FEATYPE.  This layer does not display when zoomed out beyond 1:899.  Maintained by SPU GIS DWW Data Maintenance staff.  
    Refreshed weekly.  
    ","Allen Grissom","federated_href",null,"wyes,catch basin,downspouts,inlets,junction point,lateral points,nodes,seattle gis open data,side sewer points,stack plumbing","https://data.seattle.gov/d/2m8x-77pz","https://data.seattle.gov/resource/2m8x-77pz.json","02/03/2025 06:37:52 PM","08/19/2025 07:04:09 PM","02/03/2025 06:37:52 PM","false","1","0",null,null,null,null,null,null,null,null,null], [496,"njec-u76e","Seattle Tree Canopy Change 2016 2021 Map Package","
    This map package references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.

    University of Vermont Spatial Analysis Laboratory

    This map package consists of tree canopy data covering the following categories:
    • 50-acre Hexagons
    • Council Districts
    • SDOT Urban Forestry Management Units
    • Management Units - Dissolved with ROW
    • Parcels Right of Way
    • Block Groups
    • RSE Census Tracts
    • Public Schools
    • Basins
    For more information, please see the 2021 Tree Canopy Assessment.
    ","Allen Grissom","federated_href",null,"uvm,2016,2021,seattle,seattle gis open data,spatial analysis lab,tree canopy,tree canopy change","https://data.seattle.gov/d/njec-u76e","https://data.seattle.gov/resource/njec-u76e.json","10/22/2024 09:11:13 PM","01/31/2025 07:27:37 PM","10/22/2024 09:11:13 PM","false","0","0",null,null,null,null,null,null,null,null,null], [497,"wdx6-8589","CRMW Historic Landscape District","Cedar River Watershed Cultural Landscape District boundary. Recognized by the Washington State Department of Archaeology and Historic Preservation (DAHP) this is the boundary of an 'Historic Site', described as 'a landscape significant for its association with a historic event, activity or person'. DAHP states: 'Cultural Landscapes provide a sense of place and identity; they map our relationship with the land over time; and they are part of our national heritage and each of our lives. They are sites associated with a significant event, activity, person or group of people and can range in size from thousands of acres of rural land to historic homesteads.' The Cultural Landscape District Boundary in the Cedar River Municipal Watershed was created in the early 2000's. It was informed in part by the location of known historic sites at the time.","Allen Grissom","federated_href",null,"landscape,cultural,historic district,seattle gis open data,wmd,crw","https://data.seattle.gov/d/wdx6-8589","https://data.seattle.gov/resource/wdx6-8589.json","02/03/2025 06:37:57 PM","02/27/2025 07:08:06 PM","02/03/2025 06:37:57 PM","false","0","0",null,null,null,null,null,null,null,null,null], [498,"dyfi-nfvj","Opportunity Zones","Investors are able to defer paying taxes on capital gains that are invested in Qualified Opportunity Funds that in turn are invested in distressed communities designated as Opportunity Zones by the governor of each state. Census tracts 86, 87, 90, 91, 92, 93, 94, 110.01, 111.01 and 118 have been designated by the Washington State Department of Commerce as Opportunity Zones. This layer dissolves the aforementioned Census Tracts.","Allen Grissom","federated_href",null,"city of seattle,sdci,seattle gis open data,gis,development,community,census","https://data.seattle.gov/d/dyfi-nfvj","https://data.seattle.gov/resource/dyfi-nfvj.json","02/03/2025 06:37:59 PM","02/27/2025 07:08:11 PM","02/03/2025 06:37:59 PM","false","0","0",null,null,null,null,null,null,null,null,null], [499,"6enc-mwni","Peak Control Infrastructure","

    Capacity-constrained is defined by the Stormwater Code, SMC 22.801.040 as a drainage system that the Director of SPU has determined to have inadequate capacity to carry drainage water. There are three distinct areas that compromise what is currently mapped as capacity-constrained, 1) the entire network comprising the informal drainage system consisting of the intermittent ditch and culvert network as these were never engineered, they are inherently capacity constrained. 2) The infrastructure contained in the Densmore Basin which discharges to a King County storm drain which was not designed with capacity to convey runoff from the increased density from additional development. 3) a portion of the public storm drain system on Capitol Hill upstream from the maintenance hole at the intersection of Pike St & Melrose Ave, there is a hydraulic restriction in this maintenance hole which leads to an extremely elevated hydraulic grade line and associated localized surface flooding. For more information on this Code please see, https://water.epa.gov/polwaste/nps/upload/nps-ordinanceuments-seattle-code.pdf

    ","Allen Grissom","federated_href",null,"sdci,seattle gis open data,spu,capacity constrained","https://data.seattle.gov/d/6enc-mwni","https://data.seattle.gov/resource/6enc-mwni.json","02/03/2025 06:37:46 PM","08/02/2025 07:03:19 PM","02/03/2025 06:37:46 PM","false","1","0",null,null,null,null,null,null,null,null,null], [500,"mq6n-3k9j","SDOT Collisions Vehicles","SDOT Collisions-Vehicles data provided by WSDOT and stored in the Infor System. Displays the locations and attributes of SDOT Collisions data specific to vehicle(s) involved in the collisions.

    Refresh Cycle: Daily Refresh

    SDOT Programs: Safe Routes to School, Vision Zero Program

    Contact: DOT_IT_GIS@seattle.gov
    ","Allen Grissom","federated_href",null,"collision,sdot,seattle gis open data,transportation,vehicle","https://data.seattle.gov/d/mq6n-3k9j","https://data.seattle.gov/resource/mq6n-3k9j.json","02/03/2025 06:37:33 PM","09/01/2025 07:03:36 PM","02/03/2025 06:37:33 PM","false","1","0",null,null,null,null,null,null,null,null,null], [501,"s2kw-efwe","Dog Off-Leash Areas","Dog Off-Leash Areas.

    Refresh Cycle: Weekly

    Feature Class: DPR.DogOLA
    ","Allen Grissom","federated_href",null,"common data layers,dog off-leash areas,parks,spr,seattle gis open data","https://data.seattle.gov/d/s2kw-efwe","https://data.seattle.gov/resource/s2kw-efwe.json","02/03/2025 06:38:33 PM","09/01/2025 07:03:32 PM","02/03/2025 06:38:33 PM","false","1","0",null,null,null,null,null,null,null,null,null], [502,"ns87-nnc3","Fishing Piers","Location of Public Fishing Piers within Seattle Parks and Recreation jurisdiction. Does not include fishing piers that are operated by other government or city agencies.

    Refresh Cycle: Weekly

    Feature Class: DPR.FishingPiers
    ","Allen Grissom","federated_href",null,"common data layers,fishing piers,parks,seattle gis open data,spr","https://data.seattle.gov/d/ns87-nnc3","https://data.seattle.gov/resource/ns87-nnc3.json","02/03/2025 06:38:29 PM","09/01/2025 07:03:49 PM","02/03/2025 06:38:29 PM","false","0","0",null,null,null,null,null,null,null,null,null], [503,"xreh-4izd","Healthy Streets","Displays SDOT Healthy Streets and maintained by Seattle Department of Transportation - Policy and Planning group.

    Refresh Cycle: Weekly

    FC: SDOT.HealthyStreets
    ","Allen Grissom","federated_href",null,"gis,healthy streets,sdot,seattle gis open data","https://data.seattle.gov/d/xreh-4izd","https://data.seattle.gov/resource/xreh-4izd.json","02/03/2025 06:37:33 PM","09/01/2025 07:03:34 PM","02/03/2025 06:37:33 PM","false","0","0",null,null,null,null,null,null,null,null,null], [504,"h27p-5k3i","Apartment Market Rent Prices by Census Tract","Displacement risk indicator classifying census tracts according to apartment rent prices in census tracts. We classify apartment rent along two dimensions:
    1. The median rents within the census tract for the specified year, balancing between nominal rental price and rental price per square foot.
    2. The change in median rent price (again balanced between nominal rent price and price per square foot) from the previous year.
    Note: Median rent calculations include market-rate and mixed-income multifamily apartment properties with 5 or more rental units in Seattle, excluding special types like student, senior, corporate or military housing.

    Source: Data from CoStar Group, www.costar.com, prepared by City of Seattle, Office of Planning and Community Development
    ","Allen Grissom","federated_href",null,"gis,hdri,planning,seattle gis open data","https://data.seattle.gov/d/h27p-5k3i","https://data.seattle.gov/resource/h27p-5k3i.json","02/03/2025 06:38:36 PM","03/25/2025 07:09:24 PM","02/03/2025 06:38:36 PM","false","1","0",null,null,null,null,null,null,null,null,null], [505,"ryje-ciqm","Streetlight Repair Status","Classifies data by Green, Yellow, and Red dot. Green is a new report. A "Trouble Ticket" has been issued to Green Team repair crew. Our goal is to respond to all new Trouble Tickets within 10 business days (14 calendar days). Yellow is a trouble ticket that has been escalated to the Yellow Team because the light at this location requires additional material and/or crew resources in order to be repaired. The goal is to acquire the additional resources and complete repairs within 45 calendar days of the escalation date. Red indicates a replacement of major street light components is required before the light will function properly. The Red Team will produce a Capitol Improvement Project (CIP) work order, acquire necessary permits, schedule crews and then complete the work within 120 calendar days of the escalation date.
    Refreshed daily.
    ","Allen Grissom","federated_href",null,"repair,scl,seattle gis open data,streetlight","https://data.seattle.gov/d/ryje-ciqm","https://data.seattle.gov/resource/ryje-ciqm.json","02/03/2025 06:37:42 PM","09/01/2025 07:03:48 PM","02/03/2025 06:37:42 PM","false","0","0",null,null,null,null,null,null,null,null,null], [506,"2kpy-hc45","Heavy Haul Network","Freight related data grouped together and made up of major truck streets, freight network, over legal routes, and heavy haul network. Data is maintained by Seattle Department of Transportation.

    Feature Class:
    • MajTrkStrts
    • FMP_FreightNetwork
    • Freight_OverLegalRoutes
    • Freight_HeavyHaulNetwork

    Refresh Cycle: Nightly Refresh
    ","Allen Grissom","federated_href",null,"freight,freight network,heavy haul network,major truck streets,over legal routes,sdot,seattle gis open data","https://data.seattle.gov/d/2kpy-hc45","https://data.seattle.gov/resource/2kpy-hc45.json","02/03/2025 06:37:35 PM","09/01/2025 07:03:49 PM","02/03/2025 06:37:35 PM","false","0","0",null,null,null,null,null,null,null,null,null], [507,"8n3z-3cni","SDOT Street Signs","

    Displays the locations and attributes of SDOT street signs on block faces throughout the City by sign category.

    Refresh Cycle: Daily Refresh

    Feature Class: V_SIGNS

    Street Sign Definition Query:

    To view the INSVC, or PLNRECON, or ' ' status, use

    CURRENT_STATUS = 'INSVC' OR CURRENT_STATUS ='PLNRECON' OR CURRENT_STATUS = ' '

    ","Allen Grissom","federated_href",null,"sdot,seattle gis open data,sign,street,transportation","https://data.seattle.gov/d/8n3z-3cni","https://data.seattle.gov/resource/8n3z-3cni.json","02/03/2025 06:37:44 PM","09/01/2025 07:03:51 PM","02/03/2025 06:37:44 PM","false","0","0",null,null,null,null,null,null,null,null,null], [508,"hfs4-jhfw","DotMaps Pavement Moratorium","Displays DotMaps Pavement Moratorium data maintained by Seattle Department of Transportation.

    Feature Class: V_DOTMAPS_PAVMNT_MORTRMS

    Refresh Cycle: Daily Refresh

    ","Allen Grissom","federated_href",null,"dotmaps,pavement moratorium,sdot,seattle gis open data","https://data.seattle.gov/d/hfs4-jhfw","https://data.seattle.gov/resource/hfs4-jhfw.json","02/03/2025 06:37:34 PM","09/01/2025 07:03:45 PM","02/03/2025 06:37:34 PM","false","0","0",null,null,null,null,null,null,null,null,null], [509,"shym-kd8w","Soccer Fields","Soccer Fields maintained by Seattle Parks and Recreation.

    This hosted feature layer is published with the following definition query on the DPR.AthleticsFields feature class: WHERE SOCCER > 0

    Refresh Cycle: Weekly

    Feature Class: DPR.AthleticsFields
    ","Allen Grissom","federated_href",null,"common data layers,fields,parks,seattle gis open data,soccer,sports,spr","https://data.seattle.gov/d/shym-kd8w","https://data.seattle.gov/resource/shym-kd8w.json","02/03/2025 06:38:33 PM","09/01/2025 07:03:41 PM","02/03/2025 06:38:33 PM","false","0","0",null,null,null,null,null,null,null,null,null], [510,"ypn3-dhhi","Park Bench","Track locations of fixed Park Benches within parks for maintenance and jurisdiction purposes. This database will contains bench categories, named (donation) benches, and material construction of the bench. This data will be used in Mobile and Web applications.

    Please set the LifeCycleStatusTxt = Active (to avoid getting decommissioned or proposed benches.)


    Refresh Cycle: Weekly

    Feature Class: DPR.EAM_BENCH_PT
    ","Allen Grissom","federated_href",null,"common data layers,park bench,parks,seattle gis open data,spr","https://data.seattle.gov/d/ypn3-dhhi","https://data.seattle.gov/resource/ypn3-dhhi.json","04/28/2025 07:03:18 PM","09/01/2025 07:03:46 PM","04/28/2025 07:03:18 PM","false","384","0",null,null,null,null,null,null,null,null,null], [511,"kzrh-cynu","Aba Rem Polygons","

    This layer displays the footprint of\nvarious structures associated with mainline and is described within the\ndescriptive text column of the feature class.  It does not include pump\nstations, vaults, or detention systems.  Data source is DWW. polygon_plgn_pv\nand uses the following query, (PLY_LIFECYCLE_CODE\nIN ('C', 'UNK', 'T', 'TBC', 'U', 'PC') And PLY_DWW_ROLE_CODE IN ('MNL',\n'CONNPT', 'ENDPT', 'NONMAIN', 'SURFDRN') And PLY_DWW_FEATYPE_CODE NOT IN\n('PST', 'VLT', 'WQS', 'DTS', 'DTC', 'DTL', 'PIT') And PLY_FEATYPE_CODE NOT IN\n('PND', 'LIN')) Or (PLY_FEATYPE_CODE = 'MSC' And PLY_DESC_TEXT NOT LIKE '%Green\nRoof%' And PLY_DESC_TEXT NOT LIKE '%Modular%' And PLY_LIFECYCLE_CODE IN ('C',\n'UNK', 'T', 'TBC', 'U', 'PC')). This layer does not\ndisplay when zoomed out beyond 1:7,000.  Labels are based on the attribute\nDESCRIPTION.

    \n\n

    Refreshed daily.

    ","Allen Grissom","federated_href",null,"detention systems,misc structure,pump station,seattle gis open data,vault","https://data.seattle.gov/d/kzrh-cynu","https://data.seattle.gov/resource/kzrh-cynu.json","02/03/2025 06:38:00 PM","09/01/2025 07:03:39 PM","02/03/2025 06:38:00 PM","false","0","0",null,null,null,null,null,null,null,null,null], [512,"gvua-xf2j","SDOT.V SU PERMIT USE IMPACT DISS","An updated Permit Data Model that includes relationships between the component feature classes.  The Dissolved Use Impacts (SDOT.V_SU_PERMIT_USE_IMPACT_DISS) feature class is derived from dissolving the Use Impacts (SDOT.V_SU_PERMIT_USE_IMPACTS) feature class by Permit Number.  The Impacts feature class is the Use Impact street line segments that are associated with any give Permit point (V_SU_PERMITS).  The relationships connect the Permit points to the Dissolved Use Impacts and then the Dissolved Use Impacts to the component Use Impacts.  This data model allows you to see all impacted street line segments associated with any given Permit easily, while also being able to drill down to any specific Use Impact for a given Permit.  

    Service is constructed for use in the Right of Way Map.  

    Data set to Nightly Refresh.  

    Any Questions or Concerns contact the SDOT Street Use Data and GIS Team:  Craig Moore/Bryan Bommersbach
    ","Allen Grissom","federated_href",null,"permit data model,sdot,seattle gis open data,street use","https://data.seattle.gov/d/gvua-xf2j","https://data.seattle.gov/resource/gvua-xf2j.json","02/03/2025 06:37:30 PM","09/01/2025 07:03:43 PM","02/03/2025 06:37:30 PM","false","1","0",null,null,null,null,null,null,null,null,null], [513,"aivt-pkhh","ECA Riparian Corridors","Displays Environmentally Critical Areas (ECA) in the City of Seattle. For more information about the definition of the ECA layers, see Seattle Municipal Code section 25.09.

    Updated as needed.
    ","Allen Grissom","federated_href",null,"eca,seattle gis open data","https://data.seattle.gov/d/aivt-pkhh","https://data.seattle.gov/resource/aivt-pkhh.json","02/03/2025 06:38:22 PM","02/27/2025 07:08:40 PM","02/03/2025 06:38:22 PM","false","0","0",null,null,null,null,null,null,null,null,null], [514,"8jzd-jqn4","2023 SPR Gap Analysis","
    Seattle Parks and Recreation 2023 Walkability Gap Analysis. 

    SPR’s intent is to gain a more accurate picture of access, by measuring how people walk to a park or recreation facility. We are calling this "walkability".

    This map shows what a 5-minute and a 10-minute walking distance (or walkability area) looks like around park lands that are greater than 10,000 square feet in size.

    ","Allen Grissom","federated_href",null,"walkability,seattle gis open data,spr,gap analysis,walking analysis","https://data.seattle.gov/d/8jzd-jqn4","https://data.seattle.gov/resource/8jzd-jqn4.json","02/03/2025 06:38:22 PM","05/07/2025 07:03:35 PM","02/03/2025 06:38:22 PM","false","0","0",null,null,null,null,null,null,null,null,null], [515,"k7ei-j3wc","2020 Census Block Groups - Seattle","2020 census block groups for the City of Seattle.","Allen Grissom","federated_href",null,"census block groups,gis,census 2020,census,planning,seattle gis open data,demographics","https://data.seattle.gov/d/k7ei-j3wc","https://data.seattle.gov/resource/k7ei-j3wc.json","02/03/2025 06:37:22 PM","03/31/2025 07:03:00 PM","02/03/2025 06:37:22 PM","false","0","0",null,null,null,null,null,null,null,null,null], [516,"3nrj-37in","Historic Special Review District","

    These layers are used as part of the City of Seattle Zoned Development Capacity Model 2016. Includes all input and output layers..

    To estimate potential development, the City of Seattle maintains a zoned development capacity model that compares existing development to an estimate of what could be built under current zoning.

    The difference between existing and potential development yields the capacity for new residential and commercial development.

    There is a report of summary findings available as part of Seattle 2035 as well as resources for reports, methodologies and data.

    When downloading the data, please select a layer and then "GDB Download" under "Additional Resources" to preserve long field names.  The associated file geodatabase contains all the feature classes for the 10 layers represented.

    ","Allen Grissom","federated_href",null,"buildable lands,gis,planning,seattle gis open data,zoning,capacity,capacity model 2016,zoned capacity,development,devcapapp","https://data.seattle.gov/d/3nrj-37in","https://data.seattle.gov/resource/3nrj-37in.json","02/03/2025 06:37:27 PM","02/27/2025 07:09:21 PM","02/03/2025 06:37:27 PM","false","0","0",null,null,null,null,null,null,null,null,null], [517,"isgf-jbah","Surface Drainage Curb and Gutter","
    Displays the data from DWW.ditch_culvert_ln_pv with the following query, DCH_LIFECYCLE_CODE IN ( 'C' , 'UNK' , 'T', 'TBC', 'U', 'PC' ) And DCH_FEATYPE_CODE IN ( 'CDC' , 'CRB' ,  'SDR' , 'UNK' ).  The layer is symbolized on the attribute SYMBOL.  Labels are based on the attribute DCH_OWNER_NAME.  This layer will not display when zoomed out beyond 1:7,000.  Maintained by SPU GIS DWW Data Maintenance staff.
    Refreshed weekly.  
    ","Allen Grissom","federated_href",null,"surface drainage,crb,cdr,seattle gis open data,sdr,gutter,curb drain cut,curb","https://data.seattle.gov/d/isgf-jbah","https://data.seattle.gov/resource/isgf-jbah.json","02/03/2025 06:38:08 PM","02/27/2025 07:09:02 PM","02/03/2025 06:38:08 PM","false","1","0",null,null,null,null,null,null,null,null,null], [518,"yqct-7buq","topo basin Seattle v2 - Relative % Change","

    This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to insure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.

    University of Vermont Spatial Analysis Laboratory in collaboration with City of Seattle.

    This dataset consists of City of Seattle Topo Basins areas which cover the following tree canopy categories: 

    • Existing tree canopy percent 
    • Possible tree canopy - vegetation percent 
    • Relative percent change 
    • Absolute percent change

    For more information, please see the 2021 Tree Canopy Assessment.

    ","Allen Grissom","federated_href",null,"seattle,seattle gis open data,seattle office of sustainability & environment,tree canopy,land cover,environment,biota","https://data.seattle.gov/d/yqct-7buq","https://data.seattle.gov/resource/yqct-7buq.json","02/03/2025 06:37:18 PM","02/27/2025 07:09:11 PM","02/03/2025 06:37:18 PM","false","7","0",null,null,null,null,null,null,null,null,null], [519,"jwb8-mzmh","SPR Marine Reserve","

    A hosted feature layer showing the locations of SPR Marine Reserves. These areas have been registered with the State.

    Source Layer: DPR.MarineReserve

    The marine reserve boundaries in the source layer were defined per the Department Policy and Procedure:

    Number: 060-P 7.12.2

    Name: Rule establishing marine reserves within certain city parks.

    Effective Date: 15 Aug 2003

    Data Refresh Cycle: As needed

       


    ","Allen Grissom","federated_href",null,"seattle gis open data,spr,seattle parks and recreation,environmental,marine,marine reserve,parks,reserve","https://data.seattle.gov/d/jwb8-mzmh","https://data.seattle.gov/resource/jwb8-mzmh.json","02/03/2025 06:38:05 PM","02/27/2025 07:08:56 PM","02/03/2025 06:38:05 PM","false","0","0",null,null,null,null,null,null,null,null,null], [520,"m39f-3a47","Street Vacations","

    Street vacations allow\nproperty owners to petition the Seattle City Council to acquire public\nright-of-way next to their property from the City. Street vacations “vacate”\nthe public’s right to use a street and return it to private property. Street\nvacations are only applicable when there is an adjacent development project\nplanned. The Street Vacation Policies state a preference for retaining\nright-of-way in neighborhood residential zones. \nIn addition to the basic street purpose of access and utilities, streets\nin residential areas provide for things like open space, consistency in the\ndevelopment pattern, natural drainage, wildlife corridors and other\nthings.  For more information, please visit this City website.

    Displays data from CADASTRAL.LEGAL_STVACATE_PLGN_PV. 

    Updated weekly.

    ","Allen Grissom","federated_href",null,"row,seattle gis open data,vacation,legal,right of way,streets","https://data.seattle.gov/d/m39f-3a47","https://data.seattle.gov/resource/m39f-3a47.json","02/03/2025 06:38:34 PM","08/25/2025 07:04:41 PM","02/03/2025 06:38:34 PM","false","0","0",null,null,null,null,null,null,null,null,null], [521,"ipvw-68kq","SPU DWW Mainlines","SPU DWW Mainlines is a Group Layer containing all Lifecycles, Ownerships, and other variations of Drainage and Wastewater Mainlines. The Connected Mainlines are symbolized differently in two different layers, one displaying the Permitted Use of the pipe and another displaying the Probable Flow.

    Permitted Use describes the intended use of the pipe, including Sanitary, Combined, or Drainage flows. Probable Flow takes into account upstream pipes and makes an assumption on the type of flow within the pipes.

    Proposed Mainlines are planned but not yet installed or as-built.

    SPU DWW Aba Rem Mainlines refers to Abandoned and Removed Mainlines.

    Force Mainlines are Mainlines under pressure. Detention Lines and Polygons refer to Mainline Detention Infrastructure.

    The data is refreshed weekly and is maintained by the SPU GIS Data Maintenance Team. 
    ","Allen Grissom","federated_href",null,"drainage,spu,dww,mainline,combined,sewer,seattle gis open data","https://data.seattle.gov/d/ipvw-68kq","https://data.seattle.gov/resource/ipvw-68kq.json","02/03/2025 06:38:17 PM","07/11/2025 07:01:55 PM","02/03/2025 06:38:17 PM","false","1","0",null,null,null,null,null,null,null,null,null], [522,"3izr-8edw","ECA Steep Slope","Displays Environmentally Critical Areas (ECA) in the City of Seattle. For more information about the definition of the ECA layers, see Seattle Municipal Code section 25.09.

    Updated as needed.
    ","Allen Grissom","federated_href",null,"seattle gis open data,eca","https://data.seattle.gov/d/3izr-8edw","https://data.seattle.gov/resource/3izr-8edw.json","02/03/2025 06:38:22 PM","02/27/2025 07:08:58 PM","02/03/2025 06:38:22 PM","false","1","0",null,null,null,null,null,null,null,null,null], [523,"yken-dc43","Presumed Unlined","A grouped feature layer that includes Water Mains, Water Services, Same Side Tap Only and No New Taps layers.

    • Water Mains are large buried pipes that distribute water from a supply source ultimately to customer's service lines. 
    • Water Services are lines representing a water service delivered from a watermain to a property.
    • Same Side Tap Only and No New Taps are water main restrictions which represent the availability or access to water main assets. Same Side Tap Only are lines representing where water services are only allowed to be tapped on one side of the water main. 
    • No New Taps are lines representing water mains where new water services are no longer permitted to tap into the water main.
    This data provides a limited view of Seattle's water infrastructure. For example, the data does not include transmission pipelines or feeder mains for reasons of water system network security. The data may show water mains that are not eligible for new water service connections (e.g., obsolete or "no-tap" water mains).
    ","Allen Grissom","federated_href",null,"services,water,water main,water mains,water services,same side tap only,no new taps,mains,seattle gis open data","https://data.seattle.gov/d/yken-dc43","https://data.seattle.gov/resource/yken-dc43.json","02/03/2025 06:37:47 PM","08/26/2025 07:02:02 PM","02/03/2025 06:37:47 PM","false","0","0",null,null,null,null,null,null,null,null,null], [524,"75um-4e9b","Seattle Police Department Beats 2008 - 2015 (Web Mercator)","The Seattle Police Department has different iterations of police beats as the city's needs evolved.  This layer represents what the beats looked like from 2008 to 2015.  
    This layer was published in the WGS 1984 Web Mercator Auxiliary Sphere coordinate system.
    ","Allen Grissom","federated_href",null,"police,seattle police,spd,seattle gis open data,beats,wm,web mercator","https://data.seattle.gov/d/75um-4e9b","https://data.seattle.gov/resource/75um-4e9b.json","02/03/2025 06:37:15 PM","02/27/2025 07:09:16 PM","02/03/2025 06:37:15 PM","false","0","0",null,null,null,null,null,null,null,null,null], [525,"vr2a-y3y3","P-Patch","

    The P-Patch Community Gardening Program is made up of\ncommunity managed open spaces throughout Seattle where gardeners use small\nplots of land to grow organic food, flowers, and herbs. All P-Patch gardens are\nopen to the public to enjoy and are utilized as communal spaces, restorative\nspaces, learning and idea incubators, and venues for community gatherings.  For more information, please see the Department of Neighborhoods P-Patch Community Gardening.

    \n\n

    Displays data from DON.PPATCH. Labels are based on the\nattribute NAME.  Each p-patch has an URL\nattribute, please use to find more information about specific p-patch.

    \n\n

    Updated as needed, last update April 2025.


    ","Allen Grissom","federated_href",null,"seattle gis open data,community gardening,department of neighborhoods,gis,garden","https://data.seattle.gov/d/vr2a-y3y3","https://data.seattle.gov/resource/vr2a-y3y3.json","02/03/2025 06:38:35 PM","04/22/2025 07:05:07 PM","02/03/2025 06:38:35 PM","false","1","0",null,null,null,null,null,null,null,null,null], [526,"thd4-a8zc","SPU DWW Green Stormwater Infrastructure","The DWW (Drainage and Waste Water) GSI (Green Stormwater Infrastructure) layer consists of line and polygon representations of the following features: Swales (biofiltration, bioretention, biofiltration/bioretention, and conveyance) are generally shallow depressions with a designed mix of soil and plants which break down pollutants through natural processes while reducing runoff. Permeable pavement is a paving system which allows rainfall to percolate into an underlying soil or aggregate storage reservoir. Underdrain piping systems are provided to prevent prolonged ponding of stormwater or to collect and convey water to another facility. Rain gardens are less engineered systems that are designed to mitigate water from the sidewalk only and have two inches or less of ponded depth. The drainage structures represented in the GSI points are not all unique to GSI, however, they are specifically part of SPU GSI projects.

    The data is being refreshed weekly.
    ","Allen Grissom","federated_href",null,"permeable pavement,polygon,rain garden,seattle gis open data,silva cell,spu,surface drainage,swale,surface drainline,green storm infrastructure,green roof,gis,dww,conveyance,bioretention,biofiltration,gsi,modular soil cell","https://data.seattle.gov/d/thd4-a8zc","https://data.seattle.gov/resource/thd4-a8zc.json","02/03/2025 06:37:37 PM","02/27/2025 07:08:19 PM","02/03/2025 06:37:37 PM","false","0","0",null,null,null,null,null,null,null,null,null], [527,"66hb-iea9","ECA Landfills Historical","Displays Environmentally Critical Areas (ECA) in the City of Seattle. For more information about the definition of the ECA layers, see Seattle Municipal Code section 25.09.

    Updated as needed.
    ","Allen Grissom","federated_href",null,"eca,seattle gis open data","https://data.seattle.gov/d/66hb-iea9","https://data.seattle.gov/resource/66hb-iea9.json","02/03/2025 06:38:21 PM","02/27/2025 07:08:45 PM","02/03/2025 06:38:21 PM","false","0","0",null,null,null,null,null,null,null,null,null], [528,"pqpt-85xp","City Property Primary Jurisdiction","
    Displays data from CTYPROP.RPAMIS_PMA_JOIN. Symbolized on the attribute JURIS_DEPT.
    Updated weekly.

    LABELJURIS_DEPT
    Seattle CenterCEN, SEA
    Dept. of NeighborhoodsDON
    Parks and RecreationSPR
    Facilities and Administrative ServicesDAS, FFD, FAS
    Office of Housing, Human Services Dept.HSD, OH
    City LightSCL
    Dept. of TransportationSDOT, TRNS
    Seattle Public Librarystimates are for the growth areas, urban centers and villages of the City of Seattle Comprehensive Plan.

    The comprehensive planning estimates are for "all jobs" minus the employment in the Construction/Resources sector. Employment reporting for the purposes of comparison to 2035 growth estimates are calculated as the covered employment reported from the Washington State Employment Security Department QCEW data plus an estimate of the remaining jobs not covered by unemployment insurance minus jobs in the construction / resources sector.

    This is a stand alone table that includes non-spatial records.
    ","Allen Grissom","federated_href",null,"planning,employment,gis,jobs,seattle gis open data,ucuvmonitordashb,urban centers and villages","https://data.seattle.gov/d/iuk9-s4y4","https://data.seattle.gov/resource/iuk9-s4y4.json","10/22/2024 09:12:00 PM","01/31/2025 07:27:36 PM","10/22/2024 09:12:00 PM","false","0","0",null,null,null,null,null,null,null,null,null], [531,"f73n-yxcr","Seattle Area Polygon","This generalized outline of Seattle contains the north and south city limits but extends past the shoreline and contains no internal waterbodies.  For the traditional north south city limits, please use this layer, Seattle City Limits - Overview (arcgis.com) .","Allen Grissom","federated_href",null,"city limits,city of seattle,seattle,seattle gis open data","https://data.seattle.gov/d/f73n-yxcr","https://data.seattle.gov/resource/f73n-yxcr.json","02/03/2025 06:37:29 PM","02/27/2025 07:08:35 PM","02/03/2025 06:37:29 PM","false","0","0",null,null,null,null,null,null,null,null,null], [532,"nxx8-i5fe","Urban Watercourses","

    This layer displays the urban watercourses showing open stream channels and flow within culverts, drainage laterals, and drainage mainlines.  The Washington State Department of Natural Resources typing code for channel and fish use and the WRIA (Washington State Department of Ecology Water Resource Inventory Area) code are included.  Displays data from DWW.stream_ln_pv symbolized on the attribute FEATYPE.  The layer has the following definition query, STRM_EXPIRATION_DATE IS NULL.  The data will not display when zoomed out beyond 1:200,000.  Labels are based on the attribute SHORT_NAME and will not display when zoomed out beyond 1:50,000.  

    Refreshed weekly.  Maintained by DWW Maintenance staff and USM.

    ","Allen Grissom","federated_href",null,"terrain,stream,watercourse,wria,seattle gis open data,environmental,dww","https://data.seattle.gov/d/nxx8-i5fe","https://data.seattle.gov/resource/nxx8-i5fe.json","02/03/2025 06:38:26 PM","08/25/2025 07:04:51 PM","02/03/2025 06:38:26 PM","false","0","0",null,null,null,null,null,null,null,null,null], [533,"6x2j-4hsm","topo basin Seattle v2 - Existing TC Percent","

    This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to insure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.

    University of Vermont Spatial Analysis Laboratory in collaboration with City of Seattle.

    This dataset consists of City of Seattle Topo Basins areas which cover the following tree canopy categories: 

    • Existing tree canopy percent 
    • Possible tree canopy - vegetation percent 
    • Relative percent change 
    • Absolute percent change

    For more information, please see the 2021 Tree Canopy Assessment.

    ","Allen Grissom","federated_href",null,"tree canopy,biota,environment,seattle gis open data,seattle office of sustainability & environment,seattle,land cover","https://data.seattle.gov/d/6x2j-4hsm","https://data.seattle.gov/resource/6x2j-4hsm.json","02/03/2025 06:37:17 PM","02/27/2025 07:09:05 PM","02/03/2025 06:37:17 PM","false","0","0",null,null,null,null,null,null,null,null,null], [534,"8yvf-zsr4","ECA Known Slide Areas","Displays Environmentally Critical Areas (ECA) in the City of Seattle. For more information about the definition of the ECA layers, see Seattle Municipal Code section 25.09.

    Updated as needed.
    ","Allen Grissom","federated_href",null,"seattle gis open data,eca","https://data.seattle.gov/d/8yvf-zsr4","https://data.seattle.gov/resource/8yvf-zsr4.json","02/03/2025 06:38:20 PM","02/27/2025 07:08:25 PM","02/03/2025 06:38:20 PM","false","1","0",null,null,null,null,null,null,null,null,null], [535,"4r2t-vxes","ECA Peat Settlement Prone Areas","
    Peat-settlement-prone areas (sites containing peat and organic soils that may settle when the area is developed or the water table is lowered).

    Peat settlement-prone areas. Peat settlement-prone areas consist of Category I and Category II peat settlement-prone areas that are delineated on Maps A1 through A26, Peat Settlement-prone Area Boundaries Maps, codified at the end of this Chapter 25.09. This parcel-specific delineation is based on the location of the relevant bog or bogs identified in City of Seattle Identified Bogs (Troost 2007) plus a buffer of 50 feet for Category I peat settlement-prone areas or a buffer of 25 feet for Category II peat settlement-prone areas. On parcels larger than 50,000 square feet, the Director may consider a parcel-specific delineation, provided by the applicant, of the peat settlement-prone area boundary on a parcel. Where a parcel-specific delineation conflicts with the Peat Settlement-prone Area Boundaries Maps, the parcel-specific delineation shall apply.

    For more information about the definition of peat settlement prone areas, see Seattle Municipal Code section 25.09.012, Environmentally Critical Areas (ECA) definitions.

    Updated as needed.
    ","Allen Grissom","federated_href",null,"sdci,eca,planning,peat settlement prone areas,landuse,environmental,terrain,seattle gis open data","https://data.seattle.gov/d/4r2t-vxes","https://data.seattle.gov/resource/4r2t-vxes.json","02/03/2025 06:38:41 PM","07/31/2025 07:04:05 PM","02/03/2025 06:38:41 PM","false","0","0",null,null,null,null,null,null,null,null,null], [536,"e4j4-gd9v","Crash Cushions","A crash cushion is a disposable device used to increase safety for motor vehicle operators and passengers who collide with safety barriers at gore points. Crash cushions improve safety and also help protect the transportation infrastructure.

    Displays crash cushions maintained by the Seattle Department of Transportation.

    Views: Link, which adds the recommended filter for general use of the dataset: 'CURRENT_STATUS = 'INSVC' OR CURRENT_STATUS is empty string'

    Refresh Cycle: Daily

    Feature Class: SDOT.V_CRASHCUSHIONS
    ","Allen Grissom","federated_href",null,"common data layers,crash cushions,sdot,seattle gis open data,transportation","https://data.seattle.gov/d/e4j4-gd9v","https://data.seattle.gov/resource/e4j4-gd9v.json","02/03/2025 06:37:43 PM","09/01/2025 07:03:32 PM","02/03/2025 06:37:43 PM","false","1","0",null,null,null,null,null,null,null,null,null], [537,"s9ye-vsii","Property Foreclosures by Census Tract","Displacement risk indicator showing the number of property transactions recorded by the King County Assessor as foreclosures; \navailable for every year from 2004 through the most recent year of \navailable data.","Allen Grissom","federated_href",null,"gis,hdri,king county assessor,planning,seattle gis open data","https://data.seattle.gov/d/s9ye-vsii","https://data.seattle.gov/resource/s9ye-vsii.json","02/03/2025 06:38:13 PM","03/25/2025 07:08:55 PM","02/03/2025 06:38:13 PM","false","0","0",null,null,null,null,null,null,null,null,null], [538,"r4ar-x7dx","Race and Ethnicity - Seattle Neighborhoods","Table from the American Community Survey (ACS) 5-year series on race and ethnicity related topics for City of Seattle Council Districts, Comprehensive Plan Growth Areas and Community Reporting Areas. Table includes B03002 Hispanic or Latino Origin by Race, B02008-B02013 Race Alone or in Combination with One or More. Data is pulled from block group tables for the most recent ACS vintage and summarized to the neighborhoods based on block group assignment.

    Table created for and used in the Neighborhood Profiles application.

    Vintages: 2023
    ACS Table(s): B03002, B02008, B02009, B02010, B02011, B02012, B02013
    Data downloaded from: Census Bureau's Explore Census Data 


    The United States Census Bureau's American Community Survey (ACS):
    • About the Survey
    • Geography & ACS
    • Technical Documentation
    • News &","Allen Grissom","federated_href",null,"acs,acs-bg,american community survey,census,census block groups,demographics,ethnicity,gis,planning,race,seattle gis open data","https://data.seattle.gov/d/r4ar-x7dx","https://data.seattle.gov/resource/r4ar-x7dx.json","10/22/2024 09:12:41 PM","05/07/2025 07:04:04 PM","10/22/2024 09:12:41 PM","false","1","0",null,null,null,null,null,null,null,null,null], [539,"afsc-aw5e","SPU DWW Proposed Permeable Pavement","The DWW (Drainage and Waste Water) GSI (Green Stormwater Infrastructure) layer consists of line and polygon representations of the following features: Swales (biofiltration, bioretention, biofiltration/bioretention, and conveyance) are generally shallow depressions with a designed mix of soil and plants which break down pollutants through natural processes while reducing runoff. Permeable pavement is a paving system which allows rainfall to percolate into an underlying soil or aggregate storage reservoir. Underdrain piping systems are provided to prevent prolonged ponding of stormwater or to collect and convey water to another facility. Rain gardens are less engineered systems that are designed to mitigate water from the sidewalk only and have two inches or less of ponded depth. The drainage structures represented in the GSI points are not all unique to GSI, however, they are specifically part of SPU GSI projects.

      The data is being refreshed weekly.
      ","Allen Grissom","federated_href",null,"biofiltration,bioretention,conveyance,dww,gis,green roof,green storm infrastructure,gsi,modular soil cell,permeable pavement,polygon,rain garden,seattle gis open data,silva cell,spu,surface drainage,surface drainline,swale","https://data.seattle.gov/d/afsc-aw5e","https://data.seattle.gov/resource/afsc-aw5e.json","02/03/2025 06:37:47 PM","09/01/2025 07:03:55 PM","02/03/2025 06:37:47 PM","false","0","0",null,null,null,null,null,null,null,null,null], [540,"gwc4-f4qy","Football Fields","Football Fields maintained by Seattle Parks and Recreation.

      This hosted feature layer is published with the following definition query on the DPR.AthleticsFields feature class: WHERE FOOTBALL > 0

      Refresh Cycle: Weekly

      Feature Class: DPR.AthleticsFields
      ","Allen Grissom","federated_href",null,"common data layers,fields,football,parks,seattle gis open data,sports,spr","https://data.seattle.gov/d/gwc4-f4qy","https://data.seattle.gov/resource/gwc4-f4qy.json","02/03/2025 06:38:32 PM","09/01/2025 07:03:38 PM","02/03/2025 06:38:32 PM","false","0","0",null,null,null,null,null,null,null,null,null], [541,"mqiy-mya8","Traffic Study Flow Counts","Displays traffic study flow count data maintained by Seattle Department of Transportation.

      Users can utilize following definition query for traffic count study data for a particular year. 
      Note-ENTER YEAR is the particular year of interest.

      Definition Query: STDY_YEAR=ENTER YEAR AND FLOWMAP = 'Y'

      Refresh: Weekly
      ","Allen Grissom","federated_href",null,"flow counts,sdot,seattle gis open data,traffic counts,traffic study data","https://data.seattle.gov/d/mqiy-mya8","https://data.seattle.gov/resource/mqiy-mya8.json","02/03/2025 06:37:33 PM","09/01/2025 07:03:36 PM","02/03/2025 06:37:33 PM","false","0","0",null,null,null,null,null,null,null,null,null], [542,"xxhf-pd4j","Landscape Complexes","Displays landscape complexes maintained by the Seattle Department of Transportation.

      View Layer: Link, which adds the recommended filter for general use of the dataset: 'CURRENT_STATUS NOT IN (REMOVED)'

      Refresh Cycle: Daily

      Feature Class: SDOT.V_LANDSCPCOMPLX
      ","Allen Grissom","federated_href",null,"common data layers,landscape complexes,sdot,seattle gis open data,transportation","https://data.seattle.gov/d/xxhf-pd4j","https://data.seattle.gov/resource/xxhf-pd4j.json","02/03/2025 06:37:39 PM","09/01/2025 07:03:42 PM","02/03/2025 06:37:39 PM","false","0","0",null,null,null,null,null,null,null,null,null], [543,"xdcw-uhp2","SDOT Intersections","Displays the locations and attributes of SDOT intersections throughout the City. SDOT Intersections are used as reference when viewing nearby assets. Popup includes Street View of intersection.

      Refresh Cycle: Daily Refresh
      ","Allen Grissom","federated_href",null,"intersections,sdot,seattle gis open data,street view,transportation","https://data.seattle.gov/d/xdcw-uhp2","https://data.seattle.gov/resource/xdcw-uhp2.json","02/03/2025 06:37:44 PM","09/01/2025 07:03:35 PM","02/03/2025 06:37:44 PM","false","0","0",null,null,null,null,null,null,null,null,null], [544,"bign-6sv4","Shoreline Street Ends","Shoreline street ends are designated by ordinance as a land portion of a street segment that provides physical or visual access to a body of water and its shoreline. This layer allows SDOT to track these sites separately from other parts of the right of way. The data includes shoreline street ends located within the Seattle City Limits. The information includes the nearest cross street, common place name, right-of-way width, status of the street end (Vacated, Public Access, In Water Use, Industrial)

      Refresh Cycle: Daily

      Feature Class: SDOT.V_STREETENDS
      ","Allen Grissom","federated_href",null,"common data layers,sdot,seattle gis open data,shoreline street ends,transportation","https://data.seattle.gov/d/bign-6sv4","https://data.seattle.gov/resource/bign-6sv4.json","02/03/2025 06:37:37 PM","09/01/2025 07:03:47 PM","02/03/2025 06:37:37 PM","false","0","0",null,null,null,null,null,null,null,null,null], [545,"2k5a-xqqe","Tennis Courts","Tennis Courts maintained by Seattle Parks and Recreation.

      Refresh Cycle: Weekly

      Feature Class: DPR.TennisCourts
      ","Allen Grissom","federated_href",null,"common data layers,courts,parks,seattle gis open data,spr,tennis","https://data.seattle.gov/d/2k5a-xqqe","https://data.seattle.gov/resource/2k5a-xqqe.json","02/03/2025 06:38:33 PM","09/01/2025 07:03:30 PM","02/03/2025 06:38:33 PM","false","0","0",null,null,null,null,null,null,null,null,null], [546,"sbyq-ec8g","Other Boat Launches","Location of motorized and non-motorized boat launches that are not under Seattle Parks and Recreation jurisdiction.

      Refresh Cycle: Weekly

      Feature Class: DPR.OtherBoatLaunches
      ","Allen Grissom","federated_href",null,"common data layers,other boat launches,parks,seattle gis open data,spr","https://data.seattle.gov/d/sbyq-ec8g","https://data.seattle.gov/resource/sbyq-ec8g.json","02/03/2025 06:38:27 PM","09/01/2025 07:03:33 PM","02/03/2025 06:38:27 PM","false","0","0",null,null,null,null,null,null,null,null,null], [547,"enjw-cqt3","Proposed Sandboxes and Junction Boxes","This layer displays all the catch basins, catch basin grated tops, sandboxes, junction boxes, inlets and trash racks within the City of Seattle (and the former service area north of the City limits) regardless of ownership.
      A catch basin is a connector to the storm drain system that typically includes an inlet where stormwater enters the catch basin and a sump to capture sediment, debris, and associated pollutants prior to the surface water flowing into a storm or sewer pipe. There are two main types of inlets: side inlets and grated inlets.  Side inlets are located adjacent to the curb and rely on the ability of the opening under the curb to capture flow. Grated inlets have gratings or metal grids to prevent large objects and debris from falling into the combined sewer or drainage system.  They collect surface runoff for conveyance in a pipe system. Sandboxes have wooden lids and are filled with sand or gravel and drain directly into the ground or to a culvert as part of the informal drainage system. Sandboxes are no longer being installed. Junction boxes are cement structure with a grated metal lid, shallow in depth, generally connect culverts and are inline as part of the informal ditch and culvert system.  Trash racks are grated structures that collect debris. Trash racks may be on maintenance holes, catch basins, other structures, or streams.
      Data source is DWW.catch_basin_pt_pv, and DWW.APPURTENANCE_PT_PV. Maintained by SPU GIS DWW Data Maintenance staff. This layer does not display when zoomed out beyond 1:899.

      Refreshed daily.
      ","Allen Grissom","federated_href",null,"appurtenance point,catch basin,catch basin - grated top,cb,cbl,inl,inlet,jb,jbs,junction box,junction box with sump,sandbox,sb,seattle gis open data,trash racks,trr","https://data.seattle.gov/d/enjw-cqt3","https://data.seattle.gov/resource/enjw-cqt3.json","02/03/2025 06:38:07 PM","09/01/2025 07:03:31 PM","02/03/2025 06:38:07 PM","false","0","0",null,null,null,null,null,null,null,null,null], [548,"23p8-xccg","Beacon Assemblies","A beacon is a warning device to draw a vehicle operator’s attention to an associated message that is important to the safe operation of the vehicle on a specific stretch of roadway.  

      Displays beacon assemblies maintained by the Seattle Department of Transportation.

      Views: Link, which adds the recommended filter for general use of the dataset: 'CURRENT_STATUS includes(INSVC, PLNRECON) OR CURRENT_STATUS is empty string'

      Refresh Cycle: 

      Feature Class: SDOT.V_BEACON
      ","Allen Grissom","federated_href",null,"beacon assemblies,common data layers,sdot,seattle gis open data,transportation","https://data.seattle.gov/d/23p8-xccg","https://data.seattle.gov/resource/23p8-xccg.json","02/03/2025 06:37:43 PM","09/01/2025 07:03:32 PM","02/03/2025 06:37:43 PM","false","0","0",null,null,null,null,null,null,null,null,null], [549,"mxam-s73q","Over Legal Routes","Freight related data grouped together and made up of major truck streets, freight network, over legal routes, and heavy haul network. Data is maintained by Seattle Department of Transportation.

      Feature Class:
      • MajTrkStrts
      • FMP_FreightNetwork
      • Freight_OverLegalRoutes
      • Freight_HeavyHaulNetwork

      Refresh Cycle: Nightly Refresh
      ","Allen Grissom","federated_href",null,"freight,freight network,heavy haul network,major truck streets,over legal routes,sdot,seattle gis open data","https://data.seattle.gov/d/mxam-s73q","https://data.seattle.gov/resource/mxam-s73q.json","02/03/2025 06:37:34 PM","09/01/2025 07:03:35 PM","02/03/2025 06:37:34 PM","false","0","0",null,null,null,null,null,null,null,null,null], [550,"gvfy-tys4","Grill","Developed by Seattle Parks & Recreation (DPR) to quantify and categorize areas of DPR maintenance for analysis and planning purposes. Some areas of maintenance extend beyond the boundaries of DPR property.

      Refresh Cycle: Weekly

      Feature Class: DPR.EAM_Grill_PT
      ","Allen Grissom","federated_href",null,"common data layers,grill,parks,seattle gis open data,spr","https://data.seattle.gov/d/gvfy-tys4","https://data.seattle.gov/resource/gvfy-tys4.json","02/03/2025 06:38:28 PM","09/01/2025 07:03:36 PM","02/03/2025 06:38:28 PM","false","0","0",null,null,null,null,null,null,null,null,null], [551,"gapw-b2rf","SDOT Trees","Listing of both publicly and privately maintained trees in the public right of way, with information on the condition, location, size, species and maintenance responsibility. Data was collected with the intent to predict maintenance needs, as well as to show the level of diversification within the street tree population.

      Displays trees maintained by the Seattle Department of Transportation.

      Views: Link, adds recommended definition query for general use: 'CURRENT_STATUS = INSVC'

      Refresh Cycle: Daily

      Feature Class: SDOT.V_TREES
      ","Allen Grissom","federated_href",null,"common data layers,sdot,seattle gis open data,transportation,trees","https://data.seattle.gov/d/gapw-b2rf","https://data.seattle.gov/resource/gapw-b2rf.json","02/03/2025 06:37:37 PM","09/01/2025 07:03:54 PM","02/03/2025 06:37:37 PM","false","0","0",null,null,null,null,null,null,null,null,null], [552,"6n6w-8bt7","Motorized Boat Launch","Motorized Boat Launches maintained by Seattle Parks and Recreation.

      This hosted feature layer is published with the following definition query on the DPR.BoatRamps feature class: VESSEL_TYP = 'MOTORIZED/NON-MOTORIZED' Or VESSEL_TYP = 'MOTORIZED NON-TRAILERED'

      Refresh Cycle: Weekly

      Feature Class: DPR.BoatRamps
      ","Allen Grissom","federated_href",null,"boat launch,common data layers,motorized boat,motorized boat launch,parks,seattle gis open data,spr","https://data.seattle.gov/d/6n6w-8bt7","https://data.seattle.gov/resource/6n6w-8bt7.json","02/03/2025 06:38:32 PM","09/01/2025 07:03:46 PM","02/03/2025 06:38:32 PM","false","0","0",null,null,null,null,null,null,null,null,null], [553,"r8et-9df5","SPU DWW Proposed Other GSI Footprints","The DWW (Drainage and Waste Water) GSI (Green Stormwater Infrastructure) layer consists of line and polygon representations of the following features: Swales (biofiltration, bioretention, biofiltration/bioretention, and conveyance) are generally shallow depressions with a designed mix of soil and plants which break down pollutants through natural processes while reducing runoff. Permeable pavement is a paving system which allows rainfall to percolate into an underlying soil or aggregate storage reservoir. Underdrain piping systems are provided to prevent prolonged ponding of stormwater or to collect and convey water to another facility. Rain gardens are less engineered systems that are designed to mitigate water from the sidewalk only and have two inches or less of ponded depth. The drainage structures represented in the GSI points are not all unique to GSI, however, they are specifically part of SPU GSI projects.

      The data is being refreshed weekly.
      ","Allen Grissom","federated_href",null,"biofiltration,bioretention,conveyance,dww,gis,green roof,green storm infrastructure,gsi,modular soil cell,permeable pavement,polygon,rain garden,seattle gis open data,silva cell,spu,surface drainage,surface drainline,swale","https://data.seattle.gov/d/r8et-9df5","https://data.seattle.gov/resource/r8et-9df5.json","02/03/2025 06:37:48 PM","09/01/2025 07:03:51 PM","02/03/2025 06:37:48 PM","false","0","0",null,null,null,null,null,null,null,null,null], [554,"hqid-i7j3","SEX BY AGE (B01001)","Table from the American Community Survey (ACS) B01001 of total population count by sex and age group. These are multiple, nonoverlapping vintages of the 5-year ACS estimates of population and housing attributes starting in 2010 shown by the corresponding census tract vintage. Also includes the most recent release annually.

      King County, Washington census tracts with nonoverlapping vintages of the 5-year American Community Survey (ACS) estimates starting in 2010. Vintage identified in the "ACS Vintage" field.

      The census tract boundaries match the vintage of the ACS data (currently 2010 and 2020) so please note the geographic changes between the decades. 

      Tracts have been coded as being within the City of Seattle as well as assigned to neighborhood groups called "Community Reporting Areas". These areas were created after the 2000 census to provide geographically consistent neighborhoods through time for reporting U.S. Census Bureau data. This is not an attempt to identify neighborhood boundaries as defined by neighborhoods themselves.

      Vintages: 2010, 2015, 2020, 2021, 2022, 2023
      ACS Table(s): B01001
      Data downloaded from: Census Bureau's Explore Census Data 
      <","Allen Grissom","federated_href",null,"acs,acssnapapp,american community survey,census,demographics,gis,planning,population,seattle gis open data,tracts","https://data.seattle.gov/d/hqid-i7j3","https://data.seattle.gov/resource/hqid-i7j3.json","10/22/2024 09:11:36 PM","01/31/2025 07:27:35 PM","10/22/2024 09:11:36 PM","false","0","0",null,null,null,null,null,null,null,null,null], [555,"rs98-eyib","Residential Building Permits Issued and Final since 1990","

      Permit records from the City of Seattle permitting system for building permits that create or demolish housing units. Records begin in 1990 and are through the current year quarter.

      The permits in this layer are those that have either been completed or are currently issued. This data does not contain records for those permits that were issued but were not completed so are therefore not comparable to statistics that report permit issuance.

      Each record represents the number of units added or demolished for each housing type in the project. Therefore a single building permit may appear multiple times if there are a mix of unit types in the project.

      Housing unit types reflect the unit types regulated by the building codes and change through time. There has been no attempt to standardize these types and therefore reflect the unit types that existed at the time the permit was issued.

      There may be multiple permits at any given address.

      ","Allen Grissom","federated_href",null,"gis,housing units,permitexploreapp,permits,planning,seattle gis open data,ucuvmonitordashb","https://data.seattle.gov/d/rs98-eyib","https://data.seattle.gov/resource/rs98-eyib.json","02/03/2025 06:38:09 PM","08/20/2025 07:04:55 PM","02/03/2025 06:38:09 PM","false","0","0",null,null,null,null,null,null,null,null,null], [556,"k9j2-wajx","Seattle City Light Lines","

      Displays the generalized line locations of electrical lines, both above and below ground, within the Seattle City Light service area. Sensitive data has been removed for security and customer privacy reasons. Please use this data for planning purposes only. For more detailed data, contact scl_gis_analysis@seattle.gov. 

      Data source: SCL.PUB_Line 

      Refresh Cycle: Quarterly

      Attribute information: 

      Complete Data Dictionary
      ","Allen Grissom","federated_href",null,"buildable lands,capacity model current,development capacity,gis,planning,seattle gis open data,zoned capacity,zoning","https://data.seattle.gov/d/hsjs-ep4a","https://data.seattle.gov/resource/hsjs-ep4a.json","10/22/2024 09:10:37 PM","01/31/2025 07:27:40 PM","10/22/2024 09:10:37 PM","false","0","0",null,null,null,null,null,null,null,null,null], [558,"w3qt-9btr","Neighborhood Map Atlas Neighborhoods","Neighborhood Map Atlas neighborhoods are derived from the Seattle City Clerk's Office Geographic Indexing Atlas.  These are the smallest neighborhood areas and have been supplemented with alternate names from other sources in 2020.  They roll up to the district areas.  The sub-neighborhood field contains the most common name and the alternate name field is a comma delimited list of all the alternate names.

      The original atlas is designed for subject indexing of legislation, photographs, and other documents and is an unofficial delineation of neighborhood boundaries used by the City Clerks Office. Sources for this atlas and the neighborhood names used in it include a 1980 neighborhood map produced by the Department of Community Development, Seattle Public Library indexes, a 1984-1986 Neighborhood Profiles feature series in the Seattle Post-Intelligencer, numerous parks, land use and transportation planning studies, and records in the Seattle Municipal Archives. Many of the neighborhood names are traditional names whose meaning has changed over the years, and others derive from subdivision names or elementary school attendance areas.

      Disclaimer:\nThe Seattle City Clerk's Office Geographic Indexing Atlas is designed for\nsubject indexing of legislation, photographs, and other records in the City\nClerk's Office and Seattle Municipal Archives according to geographic area.\nNeighborhoods are named and delineated in this collection of maps in order to\nprovide consistency in the way geographic names are used in describing records\nof the Archives and City Clerk, thus allowing precise retrieval of records. The\nneighborhood names and boundaries are not intended to represent any\n"official" City of Seattle neighborhood map. 

      \n\n

      The Office of the City Clerk makes no claims\nas to the completeness, accuracy, or content of any data contained in the\nGeographic Indexing Atlas; nor does it make any representation of any kind,\nincluding, but not limited to, warranty of the accuracy or fitness for a\nparticular use; nor are any such warranties to be implied or inferred with\nrespect to the representations furnished herein. The maps are subject to change\nfor administrative purposes of the Office of the City Clerk. Information\ncontained in the site, if used for any purpose other than as an indexing and\nsearch aid for the databases of the Office of the City Clerk, is being used at\none's own risk.

      ","Allen Grissom","federated_href",null,"gis,neighborhood,planning,seattle gis open data","https://data.seattle.gov/d/w3qt-9btr","https://data.seattle.gov/resource/w3qt-9btr.json","02/03/2025 06:38:10 PM","08/14/2025 07:05:55 PM","02/03/2025 06:38:10 PM","false","0","0",null,null,null,null,null,null,null,null,null], [559,"ps9f-mixf","Existing Bike Facilities","
      Bicycle related street and off-street improvements which consist of markings and hardscape that are intended to improve the movement of bicycles through the city. Existing facilities include all infrastructure currently on the ground with the following categories: protected bike lanes, buffered bike lanes, painted bike lanes, climbing lanes, neighborhood greenways, miscellaneous off-street facilities, and shared roadway markings (sharrows). Planned facilities are taken from the current Seattle Bicycle Master Plan and are subject to change as projects within the city are evaluated for their feasibility.

      Refresh Cycle: Daily Refresh

      Feature Class (Multi-use Trails): TRANSPO.SNDSEG_PV
      Feature Class (Existing and Planned Bike Facilities): SDOT.V_BikeFacilities
      ","Allen Grissom","federated_href",null,"bike,bike facilities,bike lanes,bike master plan,sdot,seattle gis open data,trails,transportation","https://data.seattle.gov/d/ps9f-mixf","https://data.seattle.gov/resource/ps9f-mixf.json","02/03/2025 06:37:41 PM","09/01/2025 07:03:37 PM","02/03/2025 06:37:41 PM","false","0","0",null,null,null,null,null,null,null,null,null], [560,"ms53-y79f","Parcels","

      These layers are used as part of the City of Seattle Zoned Development Capacity Model 2016. Includes all input and output layers..

      To estimate potential development, the City of Seattle maintains a zoned development capacity model that compares existing development to an estimate of what could be built under current zoning.

      The difference between existing and potential development yields the capacity for new residential and commercial development.

      There is a report of summary findings available as part of Seattle 2035 as well as resources for reports, methodologies and data.

      When downloading the data, please select a layer and then "GDB Download" under "Additional Resources" to preserve long field names.  The associated file geodatabase contains all the feature classes for the 10 layers represented.

      ","Allen Grissom","federated_href",null,"buildable lands,capacity,capacity model 2016,devcapapp,development,gis,planning,seattle gis open data,zoned capacity,zoning","https://data.seattle.gov/d/ms53-y79f","https://data.seattle.gov/resource/ms53-y79f.json","02/03/2025 06:37:27 PM","02/27/2025 07:08:38 PM","02/03/2025 06:37:27 PM","false","0","0",null,null,null,null,null,null,null,null,null], [561,"t227-cwx3","Seattle Transportation Plan Pedestrian Element","
      The Pedestrian Element of the Seattle Transportation Plan (STP) is a blueprint to create a more walkable Seattle and provides a suite of pedestrian improvements across the City. The intent is to focus resources on access to public schools, parks, and light rail, streetcar, and frequent transit networks12, in areas where walking conditions are difficult, and where people most need to be able to walk.  It highlights the needs of people walking and rolling and guides future investments to achieve STP goals.

      The process is based on an analysis of factors related to the STP’s goals of safety, equity, sustainability, mobility & economic vitality, livability, and maintenance & modernization. This data-driven prioritization framework helps the city provide targeted improvements that reflect community priorities, City policy objectives, and current data.  

      Throughout the life of the STP, there will be opportunities to evaluate what has been implemented and what can be prioritized in future funding cycles, within the context of the STP's goals, funding availability and project readiness, and other emergent needs. Decisions made as we craft regular STP Implementation Plans will determine the pace of STP Pedestrian Priority Investment Network implementation.  

      Refresh Cycle: None, Static. Manually as required.
      • Original Publish: 5/23/2024
      • Update Publish: 7/11/2024 per Policy and Planning team
      Contact: Policy and Planning team

      ","Allen Grissom","federated_href",null,"gis,pedestrian,pedestrian element,policy and planning,sdot,seattle gis open data,seattle transportation plan,stp","https://data.seattle.gov/d/t227-cwx3","https://data.seattle.gov/resource/t227-cwx3.json","02/03/2025 06:37:57 PM","02/27/2025 07:07:54 PM","02/03/2025 06:37:57 PM","false","0","0",null,null,null,null,null,null,null,null,null], [562,"j5na-java","Seattle Police Department Pre 2008 Beats (Web Mercator)","The Seattle Police Department has different iterations of police beats as the city's needs evolved.  This layer represents what the beats looked like prior to 2008.  
      This layer was published in the WGS 1984 Web Mercator Auxiliary Sphere coordinate system.
      ","Allen Grissom","federated_href",null,"spd,seattle gis open data,police,beats,wm,web mercator,seattle police","https://data.seattle.gov/d/j5na-java","https://data.seattle.gov/resource/j5na-java.json","02/03/2025 06:38:39 PM","02/27/2025 07:08:23 PM","02/03/2025 06:38:39 PM","false","0","0",null,null,null,null,null,null,null,null,null], [563,"cjy8-phgy","Possible Tree Canopy - Vegetation %","
      This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.

      University of Vermont Spatial Analysis Laboratory

      The dataset covers the following tree canopy categories:
      • Environmental Justice Priority Areas
      • Census tracts composite / quintile
      • Existing tree canopy percentage & environmental justice priority level
      • Existing tree canopy
      • Possible tree canopy
      • Relative percentage change
      For more information, please see the 2021 Tree Canopy Assessment.
      ","Allen Grissom","federated_href",null,"land cover,environment,2016,2021,biota,block groups,tree canopy,seattle office of sustainability & environment,seattle gis open data,seattle","https://data.seattle.gov/d/cjy8-phgy","https://data.seattle.gov/resource/cjy8-phgy.json","02/03/2025 06:38:24 PM","02/27/2025 07:07:58 PM","02/03/2025 06:38:24 PM","false","0","0",null,null,null,null,null,null,null,null,null], [564,"56a6-fvft","ECA Known Slide Scarps","Displays Environmentally Critical Areas (ECA) in the City of Seattle. For more information about the definition of the ECA layers, see Seattle Municipal Code section 25.09.

      Updated as needed.
      ","Allen Grissom","federated_href",null,"eca,seattle gis open data","https://data.seattle.gov/d/56a6-fvft","https://data.seattle.gov/resource/56a6-fvft.json","02/03/2025 06:38:21 PM","02/27/2025 07:07:57 PM","02/03/2025 06:38:21 PM","false","1","0",null,null,null,null,null,null,null,null,null], [565,"xc2b-z4k7","SPU DWW Mainlines (Permitted Use)","SPU DWW Mainlines is a Group Layer containing all Lifecycles, Ownerships, and other variations of Drainage and Wastewater Mainlines. The Connected Mainlines are symbolized differently in two different layers, one displaying the Permitted Use of the pipe and another displaying the Probable Flow.

      Permitted Use describes the intended use of the pipe, including Sanitary, Combined, or Drainage flows. Probable Flow takes into account upstream pipes and makes an assumption on the type of flow within the pipes.

      Proposed Mainlines are planned but not yet installed or as-built.

      SPU DWW Aba Rem Mainlines refers to Abandoned and Removed Mainlines.

      Force Mainlines are Mainlines under pressure. Detention Lines and Polygons refer to Mainline Detention Infrastructure.

      The data is refreshed weekly and is maintained by the SPU GIS Data Maintenance Team. 
      ","Allen Grissom","federated_href",null,"dww,combined,drainage,mainline,spu,sewer,seattle gis open data","https://data.seattle.gov/d/xc2b-z4k7","https://data.seattle.gov/resource/xc2b-z4k7.json","02/03/2025 06:38:17 PM","08/20/2025 07:04:49 PM","02/03/2025 06:38:17 PM","false","1","0",null,null,null,null,null,null,null,null,null], [566,"fpzb-gg45","Tenant Relocation Assistance Ordinance Cases by Census Tract","Displacement risk indicator showing the number of households affected by changes in property use that are recorded under the City's Tenant Relocation Assistance Ordinance (TRAO). Summarized at the census tract level; available \nfor every year from 2004 through the \nmost recent year of \navailable data.","Allen Grissom","federated_href",null,"planning,hdri,sdci,seattle gis open data,gis","https://data.seattle.gov/d/fpzb-gg45","https://data.seattle.gov/resource/fpzb-gg45.json","02/03/2025 06:38:08 PM","05/07/2025 07:03:59 PM","02/03/2025 06:38:08 PM","false","0","0",null,null,null,null,null,null,null,null,null], [567,"yn4b-ya57","SPU DWW Receiving Waterbodies","

      The polygons are intended for use by the City of Seattle as planning-level tool for a preliminary understanding of the drainage patterns in particular areas of the City. The layer is not complete and does not reflect any City determination about how specific locations should be characterized. The delineation was based on drainage, land use, type of waterbody, and neighborhoods. Displays data from DWW.receiving_wtrbdy_plgn_pv with the following data query: RWB_NAME <> 'Urban Combined System'. Labels are based on the attribute NAME. This layer does not display when zoomed out beyond 1:400,000. 

      Refreshed weekly.

      ","Allen Grissom","federated_href",null,"basin areas,receiving waterbodies,seattle gis open data","https://data.seattle.gov/d/yn4b-ya57","https://data.seattle.gov/resource/yn4b-ya57.json","02/03/2025 06:37:47 PM","08/26/2025 07:01:50 PM","02/03/2025 06:37:47 PM","false","7","0",null,null,null,null,null,null,null,null,null], [568,"4qvz-7xy6","Bicycle Catalyst Projects","
      The Bicycle and E-Mobility Element of the STP will help create a safer, more bikeable Seattle. It provides a foundation for the City of Seattle to grow our investment in bicycling and e-mobility to achieve STP goals. The STP and the Bicycle and E-Mobility Element build on and supersede the 2014 Bicycle Master Plan (BMP). The bicycle and e-mobility network serves not only people riding traditional bicycles, but also people using adaptive bikes, cargo bicycles for both personal use and deliveries, trikes, scooters, skateboards, roller skates, wheelchairs or other wheeled mobility devices, and “e-mobility” devices, which refers to personal and shared electric-powered bicycles, scooters, and other electric-powered devices. It serves people bicycling and taking e-mobility to serve a variety of trip purposes, such as getting to work, school, transit, the gym or doctor's office, recreating, making urban goods deliveries, and more.

      The Bike+ network consists of bikeways suitable for people of all ages and abilities (AAA), including protected bike lanes, Neighborhood Greenways, Healthy Streets, and bike lanes where vehicle speeds and volumes are sufficiently low.  

      The Bike+ network is envisioned to seamlessly integrate with the multi-use trail network, which provides connections through or on the edges of parks and opens spaces, where an off-street connection is preferred, or is more feasible than an on-street connection.  

      Diagram of an umbrella titled "What is Bike+?" Underneath the umbrella, the following are bulleted - protected bike lane, bike lane (if vehicle speed and volumes low. See Table 4), neighborhood greenway, and healthy street.  Many planned projects from the 2014 BMP have been implemented and are shown on the existing bicycle and e-mobility network map. The Bike+ network shows existing and proposed AAA bikeways on Seattle’s arterial and non-arterial (i.e., neighborhood streets) networks.

      Refresh Cycle: None, Static. Manually as required.
      • Original Publish: 5/23/2024
      • Update Publish: 7/11/2024 per Policy and Planning team
      Contact: Policy and Planning team
      ","Allen Grissom","federated_href",null,"gis,sdot,seattle gis open data,seattle transportation plan,aaa network,stp,bike+,bicycle element,bicycle,e-mobility","https://data.seattle.gov/d/4qvz-7xy6","https://data.seattle.gov/resource/4qvz-7xy6.json","02/03/2025 06:37:56 PM","02/27/2025 07:08:17 PM","02/03/2025 06:37:56 PM","false","0","0",null,null,null,null,null,null,null,null,null], [569,"ue2q-gdy9","Aba Rem Non-Mainlines","Active, proposed, abandoned and removed secondary sewer and storm pipes that are not part of the mainline system (i.e. side sewers, service drains, etc.). Side Sewers are wastewater pipes from buildings and establishments that connect to mainline pipes. Service drains are stormwater pipes from buildings that connect to mainline pipes. Probable flow is the derived use classification based on what is the best estimation of usage broken out by drainage and sanitary.

      Refreshed weekly.
      ","Allen Grissom","federated_href",null,"spu non-mainlines,aba rem non-mainlines,proposed non-mainlines,seattle gis open data,non-mainlines,detention polygons,detention lines","https://data.seattle.gov/d/ue2q-gdy9","https://data.seattle.gov/resource/ue2q-gdy9.json","02/03/2025 06:38:03 PM","08/26/2025 07:02:04 PM","02/03/2025 06:38:03 PM","false","0","0",null,null,null,null,null,null,null,null,null], [570,"gyx4-ecbu","SPU DWW Proposed Mainline Pipes","SPU DWW Mainlines is a Group Layer containing all Lifecycles, Ownerships, and other variations of Drainage and Wastewater Mainlines. The Connected Mainlines are symbolized differently in two different layers, one displaying the Permitted Use of the pipe and another displaying the Probable Flow.

      Permitted Use describes the intended use of the pipe, including Sanitary, Combined, or Drainage flows. Probable Flow takes into account upstream pipes and makes an assumption on the type of flow within the pipes.

      Proposed Mainlines are planned but not yet installed or as-built.

      SPU DWW Aba Rem Mainlines refers to Abandoned and Removed Mainlines.

      Force Mainlines are Mainlines under pressure. Detention Lines and Polygons refer to Mainline Detention Infrastructure.

      The data is refreshed weekly and is maintained by the SPU GIS Data Maintenance Team. 
      ","Allen Grissom","federated_href",null,"combined,drainage,dww,mainline,seattle gis open data,sewer,spu","https://data.seattle.gov/d/gyx4-ecbu","https://data.seattle.gov/resource/gyx4-ecbu.json","02/03/2025 06:38:17 PM","08/28/2025 07:04:24 PM","02/03/2025 06:38:17 PM","false","0","0",null,null,null,null,null,null,null,null,null], [571,"erpk-m98y","DPD council districts shore clip - Existing TC Percent","

      This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.

      University of Vermont Spatial Analysis Laboratory

      This dataset consists of City of Seattle Council District areas as they existed in the first comparison year (2016) which cover the following tree canopy categories:

      • Existing tree canopy percent
      • Possible tree canopy - vegetation percent
      • Relative percent change
      • Absolute percent change

      For more information, please see the 2021 Tree Canopy Assessment.

      ","Allen Grissom","federated_href",null,"land cover,flora,sustainability,environment,seattle office of sustainability & environment,tree canopy,seattle gis open data,seattle,2016,2021,council districts,biota","https://data.seattle.gov/d/erpk-m98y","https://data.seattle.gov/resource/erpk-m98y.json","02/03/2025 06:38:41 PM","04/12/2025 07:06:25 PM","02/03/2025 06:38:41 PM","false","0","0",null,null,null,null,null,null,null,null,null], [572,"mps5-bdzv","SPU DWW Aba Rem Swales","The DWW (Drainage and Waste Water) GSI (Green Stormwater Infrastructure) layer consists of line and polygon representations of the following features: Swales (biofiltration, bioretention, biofiltration/bioretention, and conveyance) are generally shallow depressions with a designed mix of soil and plants which break down pollutants through natural processes while reducing runoff. Permeable pavement is a paving system which allows rainfall to percolate into an underlying soil or aggregate storage reservoir. Underdrain piping systems are provided to prevent prolonged ponding of stormwater or to collect and convey water to another facility. Rain gardens are less engineered systems that are designed to mitigate water from the sidewalk only and have two inches or less of ponded depth. The drainage structures represented in the GSI points are not all unique to GSI, however, they are specifically part of SPU GSI projects.

      The data is being refreshed weekly.
      ","Allen Grissom","federated_href",null,"rain garden,biofiltration,bioretention,conveyance,dww,gis,green roof,green storm infrastructure,gsi,modular soil cell,seattle gis open data,swale,surface drainline,surface drainage,spu,silva cell,permeable pavement,polygon","https://data.seattle.gov/d/mps5-bdzv","https://data.seattle.gov/resource/mps5-bdzv.json","02/03/2025 06:37:49 PM","08/26/2025 07:01:47 PM","02/03/2025 06:37:49 PM","false","0","0",null,null,null,null,null,null,null,null,null], [573,"rmgw-8xgv","2010 Census Tract Seattle - Household Statistics","Data from:  2010 Decennial Census

      Decennial household data for Census Tracts in the City of Seattle.
      ","Allen Grissom","federated_href",null,"seattle gis open data,tracts,census,dc2010,demographics,gis,households,planning","https://data.seattle.gov/d/rmgw-8xgv","https://data.seattle.gov/resource/rmgw-8xgv.json","02/03/2025 06:37:21 PM","02/27/2025 07:08:44 PM","02/03/2025 06:37:21 PM","false","7","0",null,null,null,null,null,null,null,null,null], [574,"ucub-hnq5","2008 Traffic Flow Counts xxx","This contains data maintained by SDOT that is related to the study of traffic patterns in the city. The volumes in the data represent the Average Annual Weekday Traffic (AAWDT) (5-day, 24-hour) for that section of roadway.

      | Attribute Information: https://www.seattle.gov/Documents/Departments/SDOT/GIS/2008_Traffic_Flow_Counts_OD.pdf

      | Update Cycle: As Needed
      | Contact Email: DOT_IT_GIS@seattle.gov","Allen Grissom","federated_href",null,"transportation,volume,wa,flow,counts,2008,018,gis,sdot,seattle,seattle gis open data,traffic","https://data.seattle.gov/d/ucub-hnq5","https://data.seattle.gov/resource/ucub-hnq5.json","02/03/2025 06:37:29 PM","07/15/2025 07:04:30 PM","02/03/2025 06:37:29 PM","false","0","0",null,null,null,null,null,null,null,null,null], [575,"dmq5-gts6","HEALTH INSURANCE BY EMPLOYMENT STATUS (B27011)","
      Table from the American Community Survey (ACS) B27011 health insurance coverage status and type by employment status. These are multiple, nonoverlapping vintages of the 5-year ACS estimates of population and housing attributes starting in 2015 shown by the corresponding census tract vintage. Also includes the most recent release annually.

      King County, Washington census tracts with nonoverlapping vintages of the 5-year American Community Survey (ACS) estimates starting in 2010. Vintage identified in the "ACS Vintage" field.

      The census tract boundaries match the vintage of the ACS data (currently 2010 and 2020) so please note the geographic changes between the decades. 

      Tracts have been coded as being within the City of Seattle as well as assigned to neighborhood groups called "Community Reporting Areas". These areas were created after the 2000 census to provide geographically consistent neighborhoods through time for reporting U.S. Census Bureau data. This is not an attempt to identify neighborhood boundaries as defined by neighborhoods themselves.

      Vintages: 2015, 2020, 2021, 2022, 2023
      ACS Table(s): B27011
      Data downloaded from: Census Bureau's Explore Census Data 


      Table from the American Community Survey (ACS) B17001 poverty status of the population. These are multiple, nonoverlapping vintages of the 5-year ACS estimates of population and housing attributes starting in 2010 shown by the corresponding census tract vintage. Also includes the most recent release annually.

      King County, Washington census tracts with nonoverlapping vintages of the 5-year American Community Survey (ACS) estimates starting in 2010. Vintage identified in the "ACS Vintage" field.

      The census tract boundaries match the vintage of the ACS data (currently 2010 and 2020) so please note the geographic changes between the decades. 

      Tracts have been coded as being within the City of Seattle as well as assigned to neighborhood groups called "Community Reporting Areas". These areas were created after the 2000 census to provide geographically consistent neighborhoods through time for reporting U.S. Census Bureau data. This is not an attempt to identify neighborhood boundaries as defined by neighborhoods themselves.

      Vintages: 2010, 2015, 2020, 2021, 2022, 2023
      ACS Table(s): For use in SPU CIP App, as well as DotMaps.

      Data refreshed daily.
      ","Allen Grissom","federated_href",null,"capital improvement projects,utility,cdl,spu,seattle gis open data,projects,cip","https://data.seattle.gov/d/d58s-3qjy","https://data.seattle.gov/resource/d58s-3qjy.json","02/03/2025 06:38:01 PM","08/30/2025 07:03:53 PM","02/03/2025 06:38:01 PM","false","0","0",null,null,null,null,null,null,null,null,null], [578,"kv7u-rmvk","2020 Census Blocks - Seattle","2020 census blocks for the City of Seattle.

      Includes assignment of Seattle Community Reporting Areas (CRA-53), Community Reporting Area Groups (neighborhood roll up-13), Council Districts (7) for both the boundaries 2013-2023 and current 2024 boundaries, and Urban Villages. Urban Village assignments subject to change based on future planning areas.

      Water blocks are included due to population and housing in over-water structures including houseboats and live-a-boards.
      ","Allen Grissom","federated_href",null,"demographics,gis,planning,seattle gis open data,census 2020,census,census blocks","https://data.seattle.gov/d/kv7u-rmvk","https://data.seattle.gov/resource/kv7u-rmvk.json","02/03/2025 06:37:20 PM","02/27/2025 07:07:57 PM","02/03/2025 06:37:20 PM","false","0","0",null,null,null,null,null,null,null,null,null], [579,"m39q-z8sk","SPU DWW Aba Rem Mainline End Points","SPU DWW Mainline Points is a Group Layer containing all Lifecycles, Ownerships, and other variations of Drainage and Wastewater Mainlines Points.

      Proposed Mainline End Points are planned but not yet installed or as-built.

      SPU DWW Aba Rem Mainline End Points refers to Abandoned and Removed Mainline End Points.

      Force Mainline End Points are Mainline End Points under pressure. Detention Lines and Polygons refer to Mainline End Points for Detention Infrastructure.

      DWW Mainline Connection Points Wyes refer to side sewer and lateral connection points on mainlines.

      The data is refreshed weekly and is maintained by the SPU GIS Data Maintenance Team. 
      ","Allen Grissom","federated_href",null,"spu,sewer,seattle gis open data,points,mainline,external,endpoints,dww","https://data.seattle.gov/d/m39q-z8sk","https://data.seattle.gov/resource/m39q-z8sk.json","02/03/2025 06:38:15 PM","08/31/2025 07:04:06 PM","02/03/2025 06:38:15 PM","false","0","0",null,null,null,null,null,null,null,null,null], [580,"vgrj-g5y2","Illegal Dumping Open Reports","

      This represents a weekly extract from\nthe Motorola CSR application of all open reports of illegal dumping.

      \n\n

      Illegal\ndumping is any junk, garbage or debris is left on public property, including\nroadsides, open streets, and paved alleys. The items most commonly reported are\nTVs and computers, furniture, paints, solvents (and other potentially hazardous\nliquids), tires, garbage, yard waste, and construction debris.

      Data source:  UTIL.ILLEGAL_DUMPING_OPEN_REPORT

      Attribute info:

      \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
      SR_NumberService Request NumberThe unique record number of the service requesttext
      Created_DateCreated DateThe date the service request was createddate
      SR_LocationLocation\n Display NameThe\n location of the service request (street address, intersection, or freeform\n text)text


      \n
      ","Allen Grissom","federated_href",null,"find it fix it,garbage,illegal dumping,seattle gis open data,spu,debris","https://data.seattle.gov/d/vgrj-g5y2","https://data.seattle.gov/resource/vgrj-g5y2.json","02/03/2025 06:38:26 PM","08/25/2025 07:04:59 PM","02/03/2025 06:38:26 PM","false","0","0",null,null,null,null,null,null,null,null,null], [581,"t37j-pfss","Potentially Redevelopable","

      These layers are used as part of the City of Seattle Zoned Development Capacity Model 2016. Includes all input and output layers..

      To estimate potential development, the City of Seattle maintains a zoned development capacity model that compares existing development to an estimate of what could be built under current zoning.

      The difference between existing and potential development yields the capacity for new residential and commercial development.

      There is a report of summary findings available as part of Seattle 2035 as well as resources for reports, methodologies and data.

      When downloading the data, please select a layer and then "GDB Download" under "Additional Resources" to preserve long field names.  The associated file geodatabase contains all the feature classes for the 10 layers represented.

      ","Allen Grissom","federated_href",null,"devcapapp,buildable lands,capacity,capacity model 2016,development,gis,planning,seattle gis open data,zoned capacity,zoning","https://data.seattle.gov/d/t37j-pfss","https://data.seattle.gov/resource/t37j-pfss.json","02/03/2025 06:37:28 PM","02/27/2025 07:09:10 PM","02/03/2025 06:37:28 PM","false","0","0",null,null,null,null,null,null,null,null,null], [582,"yk38-g3pu","2021 Traffic Flow Counts","Displays vehicle traffic volumes for arterial streets in Seattle based on spot studies that have been adjusted for seasonal variation. Data is a one time snapshot for 2021 and is maintained by Seattle Department of Transportation.

      Contact: Traffic Operations

      Refresh Cycle: None, Snapshot for 2021 Only.
      ","Allen Grissom","federated_href",null,"counts,transportation,2021,flow,gis,sdot,seattle,seattle gis open data,traffic,wa,volume","https://data.seattle.gov/d/yk38-g3pu","https://data.seattle.gov/resource/yk38-g3pu.json","02/03/2025 06:38:14 PM","07/14/2025 07:07:13 PM","02/03/2025 06:38:14 PM","false","8","0",null,null,null,null,null,null,null,null,null], [583,"wmda-wr99","Seattle Green Stormwater Infrastructure","
      This layer displays Citywide Green Stormwater Infrastructure\nBest Management Practices (City-wide GSI BMP) and Citywide Green Stormwater\nInfrastructure projects (City-wide GSI Project).

      Citywide GSI BMP is sourced from CARTO.GSI_BMP_PT_PV. \nLabels are based on the attribute BMP.  BMP codes listed in the BEST\nMANAGED PRACTICE (GB_BMP_TEXT) field are defined as follows:\n\n\n\n
      \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
      \n

      Code Value

      \n       		\n

      Text Value

      \n
      \n

      BIO

      \n       		\n

      Bioretention, infiltrating,\n installed by others

      \n
      \n

      BIN

      \n       		\n

      Bioretention, infiltrating, installed by SPU

      \n
      \n

      BND

      \n       		\n

      Bioretention, non-infiltrating, with\n detention

      \n
      \n

      BSU

      \n       		\n

      Biofiltration swale with underdrain

      \n
      \n

      BSW

      \n       		\n

      Biofiltration swale without\n underdrain

      \n
      \n

      BUC

      \n       		\n

      Bioretention swale, non-infiltrating, with underdrain in\n CSO basin

      \n
      \n

      BUN

      \n       		\n

      Bioretention Swale, non-infiltrating,\n with underdrain in non-CSO basin

      \n
      \n

      CRG

      \n       		\n

      Cistern to rain garden

      \n

      For more information, please see the 2021 Tree Canopy Assessment.
      ","Allen Grissom","federated_href",null,"2021,biota,canopy,environment,king,seattle,seattle gis open data,tree,washington","https://data.seattle.gov/d/9gmy-e7bv","https://data.seattle.gov/resource/9gmy-e7bv.json","02/03/2025 06:38:19 PM","02/27/2025 07:08:53 PM","02/03/2025 06:38:19 PM","false","1","0",null,null,null,null,null,null,null,null,null], [585,"snip-55e2","New Residential Units Permitted - Built and Currently Issued by Census Tract","Displacement risk indicator showing the number of new residential units through building construction permits filed with the Seattle Department of Construction and Inspections (SDCI). Summarized at the census tract level; summarized based on the year the permit was issued.","Allen Grissom","federated_href",null,"gis,hdri,planning,sdci,seattle gis open data","https://data.seattle.gov/d/snip-55e2","https://data.seattle.gov/resource/snip-55e2.json","02/03/2025 06:37:26 PM","08/25/2025 07:04:42 PM","02/03/2025 06:37:26 PM","false","0","0",null,null,null,null,null,null,null,null,null], [586,"vz9i-6fv8","Community Centers","Community Center locations.

      Refresh Cycle: Weekly

      Feature Class: DPR.CommunityCenter
      ","Allen Grissom","federated_href",null,"common data layers,community centers,parks,seattle gis open data,spr","https://data.seattle.gov/d/vz9i-6fv8","https://data.seattle.gov/resource/vz9i-6fv8.json","02/03/2025 06:38:30 PM","09/01/2025 07:03:34 PM","02/03/2025 06:38:30 PM","false","0","0",null,null,null,null,null,null,null,null,null], [587,"arai-ggjv","Irrigation Systems","Displays irrigation systems maintained by the Seattle Department of Transportation.

      Views: Link, adds recommended definition query for general use: 'CURRENT_STATUS IN(INSVC, PLNRECON) OR CURRENT_STATUS is empty string'

      Refresh Cycle: Daily

      Feature Class: SDOT.V_IRRIGATION
      ","Allen Grissom","federated_href",null,"common data layers,irrigation systems,sdot,seattle gis open data,transportation","https://data.seattle.gov/d/arai-ggjv","https://data.seattle.gov/resource/arai-ggjv.json","02/03/2025 06:37:39 PM","09/01/2025 07:03:53 PM","02/03/2025 06:37:39 PM","false","0","0",null,null,null,null,null,null,null,null,null], [588,"4ses-3gfj","Park Boundary (outline)","Seattle Parks and Recreation owned and managed properties within the city limits or at the borders of the city limits.  SPR properties that are well outside of the city limits are not shown. For most use cases, this using this Park boundary is fine.

      BEWARE: Properties includes Parks Maintenance and Shop Locations, Life Estates (properties that are owned by private citizens until their passing), Properties are own by other City departments or agencies and managed by SPR, SPR owned properties that are managed by other city departments or agencies, Park leased properties, and submerged SPR properties.

      If a more detailed park delineation is required then use Parks Boundary Details.

      This is a (weekly) generalized feature class based on DPR.Parks by Park Name.
      ","Allen Grissom","federated_href",null,"park,parks,seattle gis open data,spr","https://data.seattle.gov/d/4ses-3gfj","https://data.seattle.gov/resource/4ses-3gfj.json","02/03/2025 06:38:39 PM","09/01/2025 07:03:42 PM","02/03/2025 06:38:39 PM","false","0","0",null,null,null,null,null,null,null,null,null], [589,"qn2v-fug6","Restricted Parking Zone Signed Blocks","Displays Restricted Parking Zone Areas maintained by the Seattle Department of Transportation. This is a group layer consisting of the following layers:
      • Restricted Parking Zone Signed Blocks (V_RPZ)
      • Residents Eligible for Restricted Parking Zone Permits (V_Blockface, Def Query: Parking_Category <> 'None')
      • Restricted Parking Zone A or B Husky Game Days (RPZ_AreasAorB)
      • Restricted Parking Zones (RPZ_AreasNotAorB)
      Refresh Cycle: Daily
      ","Allen Grissom","federated_href",null,"common data layers,restricted parking zone areas,rpz,sdot,seattle gis open data,transportation","https://data.seattle.gov/d/qn2v-fug6","https://data.seattle.gov/resource/qn2v-fug6.json","02/03/2025 06:37:40 PM","09/01/2025 07:03:50 PM","02/03/2025 06:37:40 PM","false","0","0",null,null,null,null,null,null,null,null,null], [590,"ce5s-34wn","SPU DWW Aba Rem Other GSI Footprints","The DWW (Drainage and Waste Water) GSI (Green Stormwater Infrastructure) layer consists of line and polygon representations of the following features: Swales (biofiltration, bioretention, biofiltration/bioretention, and conveyance) are generally shallow depressions with a designed mix of soil and plants which break down pollutants through natural processes while reducing runoff. Permeable pavement is a paving system which allows rainfall to percolate into an underlying soil or aggregate storage reservoir. Underdrain piping systems are provided to prevent prolonged ponding of stormwater or to collect and convey water to another facility. Rain gardens are less engineered systems that are designed to mitigate water from the sidewalk only and have two inches or less of ponded depth. The drainage structures represented in the GSI points are not all unique to GSI, however, they are specifically part of SPU GSI projects.

      The data is being refreshed weekly.
      ","Allen Grissom","federated_href",null,"biofiltration,bioretention,conveyance,dww,gis,green roof,green storm infrastructure,gsi,modular soil cell,permeable pavement,polygon,rain garden,seattle gis open data,silva cell,spu,surface drainage,surface drainline,swale","https://data.seattle.gov/d/ce5s-34wn","https://data.seattle.gov/resource/ce5s-34wn.json","02/03/2025 06:37:50 PM","09/01/2025 07:03:39 PM","02/03/2025 06:37:50 PM","false","0","0",null,null,null,null,null,null,null,null,null], [591,"6z58-c9cf","Traffic Detectors","Displays traffic detectors maintained by the Seattle Department of Transportation.

      Refresh Cycle: Daily

      Feature Class: TMC.TrafDetectors
      ","Allen Grissom","federated_href",null,"common data layers,sdot,seattle gis open data,traffic detectors,transportation","https://data.seattle.gov/d/6z58-c9cf","https://data.seattle.gov/resource/6z58-c9cf.json","02/03/2025 06:37:35 PM","09/01/2025 07:03:40 PM","02/03/2025 06:37:35 PM","false","0","0",null,null,null,null,null,null,null,null,null], [592,"wwet-vixx","Legend and Symbols","View of Channelization data represents roadway paint lines, curbs, and other markings that delineate traffic lanes, bike routes, bus zones, etc. which are critical for public safety.

      Common Data Layer: Common data layer created from a read only view from this feature layer. It is owned by SDOT Transportation account and will be made available in Open Data.

      Refresh Cycle: None, Dynamic via AutoCAD updates

      Channelization data consists of the following layers:
      1. Vertical Elements
      2. Lane Widths
      3. Panel Markings
      4. Longitudinal Markings
      5. Transverse Markings
      6. Legend and Symbols
      7. General Background
      ","Allen Grissom","federated_href",null,"channelization,sdot,seattle gis open data","https://data.seattle.gov/d/wwet-vixx","https://data.seattle.gov/resource/wwet-vixx.json","02/03/2025 06:37:22 PM","08/28/2025 07:04:32 PM","02/03/2025 06:37:22 PM","false","1","0",null,null,null,null,null,null,null,null,null], [593,"hmaz-cng7","Bicycle Racks","Displays bicycle racks maintained by the Seattle Department of Transportation.

      Views: Link, which adds the recommended filter for general use of the dataset: 'CURRENT_STATUS IN(INSVC, PLNRECON) OR CURRENT_STATUS is empty string'

      Refresh Cycle: Daily

      Feature Class: SDOT.V_BIKERACK
      ","Allen Grissom","federated_href",null,"bicycle racks,common data layers,sdot,seattle gis open data,transportation","https://data.seattle.gov/d/hmaz-cng7","https://data.seattle.gov/resource/hmaz-cng7.json","02/03/2025 06:37:43 PM","09/01/2025 07:03:36 PM","02/03/2025 06:37:43 PM","false","0","0",null,null,null,null,null,null,null,null,null], [594,"ypxp-w2sx","Affordable and Available Rental Units per 100 Households","Displacement risk indicator showing the number of rental units that are affordable and "available" (not occupied by a higher-income household) for every 100 renter households below a given income level.","Allen Grissom","federated_href",null,"gis,hdri,ipums,planning,seattle gis open data","https://data.seattle.gov/d/ypxp-w2sx","https://data.seattle.gov/resource/ypxp-w2sx.json","10/22/2024 09:13:11 PM","01/31/2025 07:27:41 PM","10/22/2024 09:13:11 PM","false","3","0",null,null,null,null,null,null,null,null,null], [595,"7hpg-d6i4","Stairways","Displays stairways maintained by the Seattle Department of Transportation.

      Views: Link, adds recommended definition query for general use: 'CURRENT_STATUS IN(INSVC, PLANNED) OR CURRENT_STATUS is empty string'

      Refresh Cycle: Daily

      Feature Class: SDOT.V_STAIRWAY
      ","Allen Grissom","federated_href",null,"common data layers,sdot,seattle gis open data,stairways,transportation","https://data.seattle.gov/d/7hpg-d6i4","https://data.seattle.gov/resource/7hpg-d6i4.json","02/03/2025 06:37:36 PM","09/01/2025 07:03:49 PM","02/03/2025 06:37:36 PM","false","0","0",null,null,null,null,null,null,null,null,null], [596,"7hv2-dkb2","Selected Demographic and Housing Estimates (DP05)","Data from:  American Community Survey, 5-year Series

      King County, Washington census tracts with nonoverlapping vintages of the 5-year American Community Survey (ACS) estimates starting in 2010 from the U.S. Census Bureau's demographic and housing estimates (DP05). Also includes the most recent release annually with the vintage identified in the "ACS Vintage" field.

      The census tract boundaries match the vintage of the ACS data (currently 2010 and 2020) so please note the geographic changes between the decades. 

      Tracts have been coded as being within the City of Seattle as well as assigned to neighborhood groups called "Community Reporting Areas". These areas were created after the 2000 census to provide geographically consistent neighborhoods through time for reporting U.S. Census Bureau data. This is not an attempt to identify neighborhood boundaries as defined by neighborhoods themselves.

      Vintages: 2010, 2015, 2020, 2021, 2022Department of Neighborhoods (DON) - City Landmarks.
      Seattle Municipal Code (SMC 25.12)

      This dataset is refreshed daily.
      ","Allen Grissom","federated_href",null,"historic,landmarks,preservation,seattle gis open data","https://data.seattle.gov/d/8dww-4xrc","https://data.seattle.gov/resource/8dww-4xrc.json","02/03/2025 06:37:33 PM","09/01/2025 07:03:31 PM","02/03/2025 06:37:33 PM","false","0","0",null,null,null,null,null,null,null,null,null], [598,"tc3j-543a","Drinking Fountain","Developed by Seattle Parks & Recreation (DPR) to quantify and categorize areas of DPR maintenance for analysis and planning purposes. Some areas of maintenance extend beyond the boundaries of DPR property.

      Life_Cycle_Code = Active

      Refresh Cycle: Weekly

      Feature Class: DPR.EAM_Drinking_Fountain_PT
      ","Allen Grissom","federated_href",null,"common data layers,drinking fountain,parks,seattle gis open data,spr","https://data.seattle.gov/d/tc3j-543a","https://data.seattle.gov/resource/tc3j-543a.json","02/03/2025 06:38:30 PM","09/01/2025 07:03:54 PM","02/03/2025 06:38:30 PM","false","0","0",null,null,null,null,null,null,null,null,null], [599,"vded-w5y6","Parking Categories","Displays Parking Categories maintained by the Seattle Department of Transportation.

      Refresh Cycle: Daily

      Feature Class: SDOT.ParkingCategories
      ","Allen Grissom","federated_href",null,"common data layers,parking,parking categories,sdot,seattle gis open data,transportation","https://data.seattle.gov/d/vded-w5y6","https://data.seattle.gov/resource/vded-w5y6.json","02/03/2025 06:37:38 PM","09/01/2025 07:03:41 PM","02/03/2025 06:37:38 PM","false","0","0",null,null,null,null,null,null,null,null,null], [600,"p3ae-k8mt","SPU DWW Mainline Detention Lines","SPU DWW Mainlines is a Group Layer containing all Lifecycles, Ownerships, and other variations of Drainage and Wastewater Mainlines. The Connected Mainlines are symbolized differently in two different layers, one displaying the Permitted Use of the pipe and another displaying the Probable Flow.

      Permitted Use describes the intended use of the pipe, including Sanitary, Combined, or Drainage flows. Probable Flow takes into account upstream pipes and makes an assumption on the type of flow within the pipes.

      Proposed Mainlines are planned but not yet installed or as-built.

      SPU DWW Aba Rem Mainlines refers to Abandoned and Removed Mainlines.

      Force Mainlines are Mainlines under pressure. Detention Lines and Polygons refer to Mainline Detention Infrastructure.

      The data is refreshed weekly and is maintained by the SPU GIS Data Maintenance Team. 
      ","Allen Grissom","federated_href",null,"combined,drainage,dww,mainline,seattle gis open data,sewer,spu","https://data.seattle.gov/d/p3ae-k8mt","https://data.seattle.gov/resource/p3ae-k8mt.json","02/03/2025 06:38:18 PM","08/28/2025 07:04:43 PM","02/03/2025 06:38:18 PM","false","1","0",null,null,null,null,null,null,null,null,null], [601,"a5fd-3dh7","MIO MPC Zones","

      These layers are used as part of the City of Seattle Zoned Development Capacity Model 2016. Includes all input and output layers..

      To estimate potential development, the City of Seattle maintains a zoned development capacity model that compares existing development to an estimate of what could be built under current zoning.

      The difference between existing and potential development yields the capacity for new residential and commercial development.

      There is a report of summary findings available as part of Seattle 2035 as well as resources for reports, methodologies and data.

      When downloading the data, please select a layer and then "GDB Download" under "Additional Resources" to preserve long field names.  The associated file geodatabase contains all the feature classes for the 10 layers represented.

      ","Allen Grissom","federated_href",null,"buildable lands,capacity,capacity model 2016,devcapapp,development,gis,planning,seattle gis open data,zoned capacity,zoning","https://data.seattle.gov/d/a5fd-3dh7","https://data.seattle.gov/resource/a5fd-3dh7.json","02/03/2025 06:37:27 PM","02/27/2025 07:09:14 PM","02/03/2025 06:37:27 PM","false","0","0",null,null,null,null,null,null,null,null,null], [602,"3nzs-xvkv","Seattle Neighborhoods - Top 50 American Community Survey Data","

      City of Seattle neighborhood boundaries with American Community Survey (ACS) 5-year series data of frequently requested topics. Data is pulled from block group tables for the most recent ACS vintage and summarized to the neighborhoods based on block group assignment. Seattle neighborhood geography of Council Districts, Comprehensive Plan Growth Areas are included.


      The census block groups have been assigned to a neighborhood based on the distribution of the total population from the 2020 decennial census for the component census blocks. If the majority of the population in the block group were inside the boundaries of the neighborhood, the block group was assigned wholly to that neighborhood.

      Feature layer created for and used in the Neighborhood Profiles application.

      The attribute data associated with this map is updated annually to contain the most currently released American Community Survey (ACS) 5-year data and contains estimates and margins of error. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. 

      Note:  This map is not an official zoning map.  For precise zoning information, please call or visit the Seattle Municipal Tower, Seattle Department of Construction and Inspections

      City of Seattle's land use zoning overlay around major institutions. The MIO area is identified by the name of the major institution.","Allen Grissom","federated_href",null,"gis,land use,planning,sdcizoningmap,seattle gis open data,zoning","https://data.seattle.gov/d/4is9-xs6z","https://data.seattle.gov/resource/4is9-xs6z.json","02/03/2025 06:38:09 PM","06/26/2025 04:38:04 PM","02/03/2025 06:38:09 PM","false","0","0",null,null,null,null,null,null,null,null,null], [604,"g337-jqnv","SDCI Development Sites","
      A Development Site (DV), referenced using a Development Site Number, is a property boundary that the Seattle Department of Construction and Inspections (SDCI) uses to apply code standards. A Development Site may overlap with one or more King County tax parcels.

      Source Data: DPD.Devsites
      Definition Query: 
         Where DEVSITE STATUS IN ('ACTIVE', 'PRESUMED', 'UPDATE') 
         And DEVSITE ID does not begin with 'UN'
         And DEVSITE ID does not begin with 'WB'
         And SEATTLE is not equal to 0
      Symbology Category Expression:
         var disp_txt = $feature["PRCLID"];
         if (Find("RW", disp_txt, 0)>-1) {
         return "Right-of-Way";
         } else {
         return "Non-Right-of-Way";
         }
      Refresh: Daily
      ","Allen Grissom","federated_href",null,"development sites,devsites,sdci","https://data.seattle.gov/d/g337-jqnv","https://data.seattle.gov/resource/g337-jqnv.json","05/07/2025 07:03:20 PM","09/01/2025 07:03:40 PM","05/07/2025 07:03:20 PM","false","383","0",null,null,null,null,null,null,null,null,null], [605,"pm5b-2ptg","Possible Tree Canopy - Vegetation %","
      This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.

      University of Vermont Spatial Analysis Laboratory

      This dataset consists of hexagons 50-acres in area, or several city blocks. The dataset covers the following tree canopy categories:
      • Existing tree canopy percent
      • Possible tree canopy - vegetation percent
      • Relative percent change
      • Absolute percent change
      • Average maximum afternoon temperature (F)
      • Tree canopy percentage & average afternoon temperature (F)
      For more information, please see the 2021 Tree Canopy Assessment.
      ","Allen Grissom","federated_href",null,"seattle gis open data,tree,temperature,percent change,king,hexagons,environment,canopy,biota,vegetation,washington,2021,seattle","https://data.seattle.gov/d/pm5b-2ptg","https://data.seattle.gov/resource/pm5b-2ptg.json","02/03/2025 06:38:38 PM","04/03/2025 07:04:03 PM","02/03/2025 06:38:38 PM","false","0","0",null,null,null,null,null,null,null,null,null], [606,"mym5-cysz","Sites Considered Developed without Potential Capacity","

      These layers are used as part of the City of Seattle Zoned Development Capacity Model 2016. Includes all input and output layers..

      To estimate potential development, the City of Seattle maintains a zoned development capacity model that compares existing development to an estimate of what could be built under current zoning.

      The difference between existing and potential development yields the capacity for new residential and commercial development.

      There is a report of summary findings available as part of Seattle 2035 as well as resources for reports, methodologies and data.

      When downloading the data, please select a layer and then "GDB Download" under "Additional Resources" to preserve long field names.  The associated file geodatabase contains all the feature classes for the 10 layers represented.

      ","Allen Grissom","federated_href",null,"capacity,buildable lands,zoning,zoned capacity,seattle gis open data,planning,gis,development,devcapapp,capacity model 2016","https://data.seattle.gov/d/mym5-cysz","https://data.seattle.gov/resource/mym5-cysz.json","02/03/2025 06:37:28 PM","02/27/2025 07:08:22 PM","02/03/2025 06:37:28 PM","false","0","0",null,null,null,null,null,null,null,null,null], [607,"ptcn-qxeq","Mixed Use and Commercial","

      These layers are used as part of the City of Seattle Zoned Development Capacity Model 2016. Includes all input and output layers..

      To estimate potential development, the City of Seattle maintains a zoned development capacity model that compares existing development to an estimate of what could be built under current zoning.

      The difference between existing and potential development yields the capacity for new residential and commercial development.

      There is a report of summary findings available as part of Seattle 2035 as well as resources for reports, methodologies and data.

      When downloading the data, please select a layer and then "GDB Download" under "Additional Resources" to preserve long field names.  The associated file geodatabase contains all the feature classes for the 10 layers represented.

      ","Allen Grissom","federated_href",null,"development,zoned capacity,zoning,devcapapp,capacity model 2016,capacity,buildable lands,gis,planning,seattle gis open data","https://data.seattle.gov/d/ptcn-qxeq","https://data.seattle.gov/resource/ptcn-qxeq.json","02/03/2025 06:37:27 PM","02/27/2025 07:09:14 PM","02/03/2025 06:37:27 PM","false","0","0",null,null,null,null,null,null,null,null,null], [608,"gesb-r4ng","SPU DWW Non-Mainlines","Active, proposed, abandoned and removed secondary sewer and storm pipes that are not part of the mainline system (i.e. side sewers, service drains, etc.). Side Sewers are wastewater pipes from buildings and establishments that connect to mainline pipes. Service drains are stormwater pipes from buildings that connect to mainline pipes. Probable flow is the derived use classification based on what is the best estimation of usage broken out by drainage and sanitary.

      Refreshed weekly.
      ","Allen Grissom","federated_href",null,"spu non-mainlines,seattle gis open data,proposed non-mainlines,non-mainlines,detention polygons,detention lines,aba rem non-mainlines","https://data.seattle.gov/d/gesb-r4ng","https://data.seattle.gov/resource/gesb-r4ng.json","02/03/2025 06:38:02 PM","02/27/2025 07:08:41 PM","02/03/2025 06:38:02 PM","false","0","0",null,null,null,null,null,null,null,null,null], [609,"34j4-evj6","Tree Canopy 2016","Tree canopy was mapped from leaf-off LiDAR collected in the spring of 2016 and leaf-on high-resolution imagery collected in the summer of 2015 to complete this tree canopy cover assessment. Tree canopy cover mapping was carried out using a semi-automated approach that coupled automated feature extraction with manual editing. Automated feature extraction was done using a rule-based expert system embedded within an object-based framework. Object-based image analysis techniques (OBIA) work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment, a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. Manual corrections carried out on a scale of 1:2,500, followed by a final review for completeness and consistency at a scale of 1:10,000.

      Displays data from CARTO.TreeCanopy_2016. Will not display when zoomed out beyond 1:50,000.

      Static data layer, no updates.
      ","Allen Grissom","federated_href",null,"tree,gis,seattle gis open data,urban forestry,canopy cover","https://data.seattle.gov/d/34j4-evj6","https://data.seattle.gov/resource/34j4-evj6.json","02/03/2025 06:37:29 PM","02/27/2025 07:08:39 PM","02/03/2025 06:37:29 PM","false","0","0",null,null,null,null,null,null,null,null,null], [610,"uyct-bspi","Non-Mainline Detention Lines","Active, proposed, abandoned and removed secondary sewer and storm pipes that are not part of the mainline system (i.e. side sewers, service drains, etc.). Side Sewers are wastewater pipes from buildings and establishments that connect to mainline pipes. Service drains are stormwater pipes from buildings that connect to mainline pipes. Probable flow is the derived use classification based on what is the best estimation of usage broken out by drainage and sanitary.

      Refreshed weekly.
      ","Allen Grissom","federated_href",null,"spu non-mainlines,detention lines,detention polygons,non-mainlines,proposed non-mainlines,seattle gis open data,aba rem non-mainlines","https://data.seattle.gov/d/uyct-bspi","https://data.seattle.gov/resource/uyct-bspi.json","02/03/2025 06:38:03 PM","08/26/2025 07:01:47 PM","02/03/2025 06:38:03 PM","false","0","0",null,null,null,null,null,null,null,null,null], [611,"xr8t-8b82","SPU DWW GSI Facility Footprints","The DWW (Drainage and Waste Water) GSI (Green Stormwater Infrastructure) layer consists of line and polygon representations of the following features: Swales (biofiltration, bioretention, biofiltration/bioretention, and conveyance) are generally shallow depressions with a designed mix of soil and plants which break down pollutants through natural processes while reducing runoff. Permeable pavement is a paving system which allows rainfall to percolate into an underlying soil or aggregate storage reservoir. Underdrain piping systems are provided to prevent prolonged ponding of stormwater or to collect and convey water to another facility. Rain gardens are less engineered systems that are designed to mitigate water from the sidewalk only and have two inches or less of ponded depth. The drainage structures represented in the GSI points are not all unique to GSI, however, they are specifically part of SPU GSI projects.

      The data is being refreshed weekly.
      ","Allen Grissom","federated_href",null,"rain garden,swale,modular soil cell,permeable pavement,silva cell,seattle gis open data,polygon,biofiltration,bioretention,conveyance,dww,spu,gis,green roof,green storm infrastructure,gsi,surface drainage,surface drainline","https://data.seattle.gov/d/xr8t-8b82","https://data.seattle.gov/resource/xr8t-8b82.json","02/03/2025 06:37:51 PM","08/26/2025 07:02:05 PM","02/03/2025 06:37:51 PM","false","0","0",null,null,null,null,null,null,null,null,null], [612,"9fsf-kn49","SPU DWW Ponds","

      Data source is DWW.polygon_plgn_pv using the following definition query, PLY_LIFECYCLE_CODE IN ( 'C' ,'UNK', 'T', 'TBC', 'U', 'PC') AND PLY_FEATYPE_CODE = 'PND'. This layer does not display when zoomed out beyond 1:24,000. Labels do not display when zoomed out beyond 1:3,000 and are based on the attribute DESCRIPTION. 

      Refreshed weekly.

      ","Allen Grissom","federated_href",null,"dww pond,pond,pond polygon,spu pond,seattle gis open data","https://data.seattle.gov/d/9fsf-kn49","https://data.seattle.gov/resource/9fsf-kn49.json","02/03/2025 06:38:04 PM","08/26/2025 07:01:41 PM","02/03/2025 06:38:04 PM","false","7","0",null,null,null,null,null,null,null,null,null], [613,"tuim-z5ju","Lining Status Varies by Location","A grouped feature layer that includes Water Mains, Water Services, Same Side Tap Only and No New Taps layers.

      • Water Mains are large buried pipes that distribute water from a supply source ultimately to customer's service lines. 
      • Water Services are lines representing a water service delivered from a watermain to a property.
      • Same Side Tap Only and No New Taps are water main restrictions which represent the availability or access to water main assets. Same Side Tap Only are lines representing where water services are only allowed to be tapped on one side of the water main. 
      • No New Taps are lines representing water mains where new water services are no longer permitted to tap into the water main.
      This data provides a limited view of Seattle's water infrastructure. For example, the data does not include transmission pipelines or feeder mains for reasons of water system network security. The data may show water mains that are not eligible for new water service connections (e.g., obsolete or "no-tap" water mains).
      ","Allen Grissom","federated_href",null,"mains,no new taps,same side tap only,services,seattle gis open data,water,water main,water services,water mains","https://data.seattle.gov/d/tuim-z5ju","https://data.seattle.gov/resource/tuim-z5ju.json","02/03/2025 06:37:47 PM","08/26/2025 07:02:13 PM","02/03/2025 06:37:47 PM","false","7","0",null,null,null,null,null,null,null,null,null], [614,"cbar-h9yn","Existing Tree Canopy %","

      This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.

      University of Vermont Spatial Analysis Laboratory in collaboration with City of Seattle.

      This dataset consists of City of Seattle SDOT Urban Forestry Management Units which cover the following tree canopy categories: 

      • Existing tree canopy percent 
      • Possible tree canopy - vegetation percent 
      • Relative percent change 
      • Absolute percent change

      For more information, please see the 2021 Tree Canopy Assessment.

      ","Allen Grissom","federated_href",null,"seattle,2016,tree canopy,seattle office of sustainability & environment,seattle gis open data,2021,biota,environment,land cover","https://data.seattle.gov/d/cbar-h9yn","https://data.seattle.gov/resource/cbar-h9yn.json","02/03/2025 06:38:41 PM","02/27/2025 07:08:34 PM","02/03/2025 06:38:41 PM","false","381","0",null,null,null,null,null,null,null,null,null], [615,"4vvm-pqqc","Shoreline Environments Overlay","
      Note:  This map is not an official zoning map.  For precise zoning information, please call or visit the Seattle Municipal Tower, Seattle Department of Construction and Inspections

      City of Seattle's land use zoning overlay to implement the policy and provisions of the Shoreline Management Act.","Allen Grissom","federated_href",null,"planning,land use,gis,sdcizoningmap,seattle gis open data,zoning","https://data.seattle.gov/d/4vvm-pqqc","https://data.seattle.gov/resource/4vvm-pqqc.json","02/03/2025 06:38:13 PM","06/26/2025 04:38:49 PM","02/03/2025 06:38:13 PM","false","0","0",null,null,null,null,null,null,null,null,null], [616,"fcut-rymu","High School Attendance Areas 2023-2024","

      An attendance area school is one to which elementary, middle and high-school students are assigned based on where they live, as long as the school offers the services the student needs.

      For questions, please contact enrollmentplanning@seattleschools.org

      ","Allen Grissom","federated_href",null,"attendance,gis,high school,public school,school,seattle gis open data,seattle public schools,sps","https://data.seattle.gov/d/fcut-rymu","https://data.seattle.gov/resource/fcut-rymu.json","02/03/2025 06:38:17 PM","02/27/2025 07:09:16 PM","02/03/2025 06:38:17 PM","false","0","0",null,null,null,null,null,null,null,null,null], [617,"r9ka-a4bp","SPU DWW Proposed GSI Weirs","The DWW (Drainage and Waste Water) GSI (Green Stormwater Infrastructure) layer consists of line and polygon representations of the following features: Swales (biofiltration, bioretention, biofiltration/bioretention, and conveyance) are generally shallow depressions with a designed mix of soil and plants which break down pollutants through natural processes while reducing runoff. Permeable pavement is a paving system which allows rainfall to percolate into an underlying soil or aggregate storage reservoir. Underdrain piping systems are provided to prevent prolonged ponding of stormwater or to collect and convey water to another facility. Rain gardens are less engineered systems that are designed to mitigate water from the sidewalk only and have two inches or less of ponded depth. The drainage structures represented in the GSI points are not all unique to GSI, however, they are specifically part of SPU GSI projects.

      The data is being refreshed weekly.
      ","Allen Grissom","federated_href",null,"dww,bioretention,biofiltration,polygon,rain garden,seattle gis open data,silva cell,spu,surface drainage,surface drainline,swale,modular soil cell,gsi,green storm infrastructure,green roof,gis,conveyance,permeable pavement","https://data.seattle.gov/d/r9ka-a4bp","https://data.seattle.gov/resource/r9ka-a4bp.json","02/03/2025 06:37:52 PM","08/26/2025 07:01:57 PM","02/03/2025 06:37:52 PM","false","1","0",null,null,null,null,null,null,null,null,null], [618,"ttgh-92bu","Aba Rem Surface Drainage Points","Surface drainage points are structures that help direct rainwater in the City’s sub-surface pipe drainage system. The informal drainage system makes up nearly one-third of the City of Seattle footprint. This layer displays connected surface drainage points, regardless of ownership, that cannot be found in other layers.  For example, Catch Basins, Junction Boxes, Sandboxes, and Inlets are not included.  The data source is DWW.surface_drainline_pt_pv with the following data query:  SDP_LIFECYCLE_TEXT IN ( 'Connected' , 'Unknown' , 'Temporary' ,'To Be Connected', 'Under Construction', 'Provisionally Connected', 'Proposed', 'Abandoned', 'Abandoned Temporary', 'Removed') AND SDP_FEA_TYPE_TEXT IN ( 'Area Drain;Area Way;Driveway Drain' ,'Cleanout', 'Flow Control MH' , 'Infall' , 'Maintenance Hole' , 'Overflow MH' , 'Other' , 'Rubber Coupler' , 'Reducer' , 'Surface Cleanout' , 'Sedimentation Chamber;Sand Catcher;Sand Trap' , 'Stand Pipe' ,  'Weephole', 'Catch Basin MH', 'Vault', 'Underground Injection Cell; Drilled Drain')
      This layer does not display when zoomed out beyond 1:2,000.  Labels are based on the attribute SDP_ASSET_ID and only display when zoomed in to 1:1,000 or closer.  Only SPU owned assets will have a label.

      Refreshed weekly.
      ","Allen Grissom","federated_href",null,"surface cleanout,underground injection cell; drilled drain,vault,infall,flow control mh,driveway drain,cleanout,catch basin mh,weephole,area way,area drain,maintenance hole,outfall,overflow mh,seattle gis open data,sedimentations chamber;sand catcher;sand trap,stand pipe,surface drainage points","https://data.seattle.gov/d/ttgh-92bu","https://data.seattle.gov/resource/ttgh-92bu.json","02/03/2025 06:37:55 PM","08/26/2025 07:02:05 PM","02/03/2025 06:37:55 PM","false","0","0",null,null,null,null,null,null,null,null,null], [619,"e88u-fqjf","Aba Rem Trash Racks","This layer displays all the catch basins, catch basin grated tops, sandboxes, junction boxes, inlets and trash racks within the City of Seattle (and the former service area north of the City limits) regardless of ownership.
      A catch basin is a connector to the storm drain system that typically includes an inlet where stormwater enters the catch basin and a sump to capture sediment, debris, and associated pollutants prior to the surface water flowing into a storm or sewer pipe. There are two main types of inlets: side inlets and grated inlets.  Side inlets are located adjacent to the curb and rely on the ability of the opening under the curb to capture flow. Grated inlets have gratings or metal grids to prevent large objects and debris from falling into the combined sewer or drainage system.  They collect surface runoff for conveyance in a pipe system. Sandboxes have wooden lids and are filled with sand or gravel and drain directly into the ground or to a culvert as part of the informal drainage system. Sandboxes are no longer being installed. Junction boxes are cement structure with a grated metal lid, shallow in depth, generally connect culverts and are inline as part of the informal ditch and culvert system.  Trash racks are grated structures that collect debris. Trash racks may be on maintenance holes, catch basins, other structures, or streams.
      Data source is DWW.catch_basin_pt_pv, and DWW.APPURTENANCE_PT_PV. Maintained by SPU GIS DWW Data Maintenance staff. This layer does not display when zoomed out beyond 1:899.

      Refreshed daily.
      ","Allen Grissom","federated_href",null,"appurtenance point,cb,cbl,catch basin,catch basin - grated top,inl,inlet,jb,jbs,junction box,junction box with sump,sb,sandbox,seattle gis open data,trr,trash racks","https://data.seattle.gov/d/e88u-fqjf","https://data.seattle.gov/resource/e88u-fqjf.json","02/03/2025 06:38:06 PM","08/29/2025 07:04:43 PM","02/03/2025 06:38:06 PM","false","7","0",null,null,null,null,null,null,null,null,null], [620,"mnv4-rqgc","Longitudinal Markings","View of Channelization data represents roadway paint lines, curbs, and other markings that delineate traffic lanes, bike routes, bus zones, etc. which are critical for public safety.

      Common Data Layer: Common data layer created from a read only view from this feature layer. It is owned by SDOT Transportation account and will be made available in Open Data.

      Refresh Cycle: None, Dynamic via AutoCAD updates

      Channelization data consists of the following layers:
      1. Vertical Elements
      2. Lane Widths
      3. Panel Markings
      4. Longitudinal Markings
      5. Transverse Markings
      6. Legend and Symbols
      7. General Background
      ","Allen Grissom","federated_href",null,"sdot,channelization,seattle gis open data","https://data.seattle.gov/d/mnv4-rqgc","https://data.seattle.gov/resource/mnv4-rqgc.json","02/03/2025 06:37:22 PM","08/29/2025 07:04:55 PM","02/03/2025 06:37:22 PM","false","0","0",null,null,null,null,null,null,null,null,null], [621,"8r6j-4nyf","Future Land Use 2035","

      Future land use is intended to illustrate the general location and distribution of the various categories of land uses anticipated by the Comprehensive Plan policies over the life of this plan. It is not intended to provide the basis for rezones and other legislative and quasi-judicial decisions, for which the decision makers must look to the Comprehensive Plan policies and various implementing regulations.

      This map may be amended annually as part of the regular comprehensive plan update process.

      See the data in action in this web app.

      ","Allen Grissom","federated_href",null,"gis,flumapp,comp plan,zoning,seattle gis open data,planning,land use","https://data.seattle.gov/d/8r6j-4nyf","https://data.seattle.gov/resource/8r6j-4nyf.json","02/03/2025 06:38:09 PM","02/27/2025 07:08:35 PM","02/03/2025 06:38:09 PM","false","0","0",null,null,null,null,null,null,null,null,null], [622,"uvd7-zsqj","2020 Traffic Flow Counts","Displays vehicle traffic volumes for arterial streets in Seattle based on spot studies that have been adjusted for seasonal variation. Data is a one time snapshot for 2020 and is maintained by Seattle Department of Transportation.

      Contact: Traffic Operations

      Refresh Cycle: None, Snapshot for 2020 Only.
      ","Allen Grissom","federated_href",null,"transportation,seattle gis open data,traffic,gis,flow,counts,2020,seattle,sdot,volume,wa","https://data.seattle.gov/d/uvd7-zsqj","https://data.seattle.gov/resource/uvd7-zsqj.json","02/03/2025 06:37:53 PM","07/14/2025 07:07:31 PM","02/03/2025 06:37:53 PM","false","0","0",null,null,null,null,null,null,null,null,null], [623,"s86q-7jfw","Seattle Transportation Plan Freight Network","
      Seattle Transportation Plan (STP) - Freight Network of streets where freight and goods movement is a priority.

      Freight street classifications highlight key elements of the street network serving freight vehicles. They cover functional classification, truck volumes, street types, design guidance, spatial characteristics, and more and are considered when designing streets or determining how to operate the system. Seattle’s Freight Master Plan (FMP; 2016) identified a Freight Network Classification that includes four designations based on truck volumes, land use connections, network connectivity, and roadway classifications.  

      The freight network designations indicate key routes that trucks use to access the Port, key freight designations, and the regional highway system. Limited access facilities are connected to major truck streets and, to a lesser degree, by minor truck streets.  

      First-/last-mile connectors are primarily accessed by major and minor truck streets and are located within the MICs. Trucks are permitted to operate on most streets in Seattle, whether or not they are designated as part of the freight network. 

      In general, limited access facilities are accessed by major truck streets and, to a lesser degree, by minor truck streets. First-/last-mile connectors are primarily accessed by major and minor truck streets and are located in MICs. 


      Refresh Cycle: None, Static. Manually as required.
      • Original Publish: 5/23/2024
      • Update Publish: 7/11/2024 per Policy and Planning team
      Contact: Policy and Planning team
      ","Allen Grissom","federated_href",null,"freight network,freight,truck streets,seattle transportation plan,stp,trucks,seattle gis open data,sdot,gis","https://data.seattle.gov/d/s86q-7jfw","https://data.seattle.gov/resource/s86q-7jfw.json","02/03/2025 06:38:04 PM","02/27/2025 07:08:51 PM","02/03/2025 06:38:04 PM","false","0","0",null,null,null,null,null,null,null,null,null], [624,"jt4j-einu","Fire Stations","There are fire stations strategically placed throughout the city and staffed 24 hours a day, seven days a week. These stations are divided up in to five battalions, each supervised by a battalion chief; with an on-duty deputy chief overseeing the City.

      Displays data from CARTO.fire.

      Updates as needed.  Last update, November 2023.
      ","Allen Grissom","federated_href",null,"public safety,sfd,seattle gis open data,seattle fire department","https://data.seattle.gov/d/jt4j-einu","https://data.seattle.gov/resource/jt4j-einu.json","02/03/2025 06:38:16 PM","03/17/2025 07:05:19 PM","02/03/2025 06:38:16 PM","false","0","0",null,null,null,null,null,null,null,null,null], [625,"tfzi-trty","Environmental Justice Priority Areas","
      This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.

      University of Vermont Spatial Analysis Laboratory

      The dataset covers the following tree canopy categories:
      • Environmental Justice Priority Areas
      • Census tracts composite / quintile
      • Existing tree canopy percentage & environmental justice priority level
      • Existing tree canopy
      • Possible tree canopy
      • Relative percentage change
      For more information, please see the 2021 Tree Canopy Assessment.
      ","Allen Grissom","federated_href",null,"land cover,environment,block groups,biota,2021,2016,tree canopy,seattle office of sustainability & environment,seattle gis open data,seattle","https://data.seattle.gov/d/tfzi-trty","https://data.seattle.gov/resource/tfzi-trty.json","02/03/2025 06:38:24 PM","02/27/2025 07:09:07 PM","02/03/2025 06:38:24 PM","false","1","0",null,null,null,null,null,null,null,null,null], [626,"esdi-evcb","ECA Wildlife Habitat","
      Displays areas with Wildlife Corridors in the City of Seattle. See Ordinance Number: 122738.

      A polygon feature class showing Wildlife Areas in the City of Seattle. Used to implement and regulate the City of Seattle's Environmentally Critical Areas (ECA) policies.

      Corridors that connect priority habitats and species areas or habitat areas for wildlife species of local importance that meet criteria established by the Washington State Department of Fish and Wildlife.

      For more information about the definition of wildlife habitat, see Seattle Municipal Code section 25.09.012, Environmentally Critical Areas definitions. 

      Updated as needed.
      ","Allen Grissom","federated_href",null,"sdci,eca,seattle gis open data,wildlife habitat,environmental,landuse,planning","https://data.seattle.gov/d/esdi-evcb","https://data.seattle.gov/resource/esdi-evcb.json","02/03/2025 06:38:23 PM","07/10/2025 07:04:54 PM","02/03/2025 06:38:23 PM","false","0","0",null,null,null,null,null,null,null,null,null], [627,"h43v-hhax","Mobility Hubs","Frequent, reliable transit service is the foundation of a transportation system that empowers all travelers and makes Seattle a truly transit-friendly city. A robust transit network is essential if Seattle is to meet its climate goals and address transportation-related inequities. At its most fundamental level, a transit network is made up of transit infrastructure such as bus lanes, transit signals, and bus stops, often arranged in corridors.  

      The transit service that travels on this infrastructure can be described as a series of routes that connect different parts of a community for a number of hours per day at a certain frequency (the number of trips at a bus stop per hour). SDOT’s vision for the service aspect of the transit network is followed by a vision for transit infrastructure in the sections below. 

      Public input and surveys consistently point to transit frequency as the most critical factor that influences ridership behavior. This fundamental concept directly informs SDOT’s shared vision for a “Frequent Transit Network” (FTN), which builds from the 2016 Transit Master Plan (TMP) and establishes aspirational frequency targets for transit corridors throughout the city. A high-frequency transit network enables people to move through the city with confidence in a timely arrival—and without the need to consult a schedule—throughout the day and every single day of the week. Continual investment in improved transit frequency in Seattle is essential for many reasons:  
      • Post-pandemic transit is likely to remain less commuter-focused and oriented specifically to Downtown Seattle and must adapt to new travel behaviors and patterns. 
      • To support everyday trips by transit (not just commutes), people need reliable mobility at all times, such as early mornings, midday, evenings and at night all days of the week, not just at peak times on weekdays.  
      • Transit needs to accommodate work schedules of non-traditional and low-income workers including the times noted above. 
      • Transit should be attractive for all types of trips throughout the week, including education, shopping, and recreational trips, as well as cultural gatherings. 
      • An excellent transit network is necessary to accommodate the mode shift required to respond to the impacts of climate change in the next decade. 
      • Frequent transit reduces wait time, increases reliability, and values the time for existing and future riders. 
      • Frequent transit makes transfers more feasible and allows a network of routes to function as a system. 
      • A connected network of frequent transit services is also critical to achieve STP climate goals, which require dramatic increases in transit ridership and VMT reduction to support broader efforts to reduce greenhouse gas (GHG) emissions from transportation.  
      • High transit frequencies as part of a reliable, all-day service network can create a more equitable transportation system, making it possible for people of all ages, incomes, and abilities to get where they want to go regardless of when or where they need to travel. The Transit Element presents a vision for frequent transit service in Seattle that goes beyond the original Frequent Transit Network (FTN) presented in the 2016 Transit Master Plan.  

      Refresh Cycle: None, Static. Manually as required.
      • Original Publish: 5/23/2024
      • Update Publish: 7/11/2024 per Policy and Planning team
      Contact: Policy and Planning team.
      ","Allen Grissom","federated_href",null,"stp,transit element,bus,gis,light rail,sdot,seattle gis open data,seattle transportation plan,transit","https://data.seattle.gov/d/h43v-hhax","https://data.seattle.gov/resource/h43v-hhax.json","02/03/2025 06:38:02 PM","02/27/2025 07:08:53 PM","02/03/2025 06:38:02 PM","false","0","0",null,null,null,null,null,null,null,null,null], [628,"c4qg-rdsd","ECA Known Slide Events","Displays Environmentally Critical Areas (ECA) in the City of Seattle. For more information about the definition of the ECA layers, see Seattle Municipal Code section 25.09.

      Updated as needed.
      ","Allen Grissom","federated_href",null,"seattle gis open data,eca","https://data.seattle.gov/d/c4qg-rdsd","https://data.seattle.gov/resource/c4qg-rdsd.json","02/03/2025 06:38:21 PM","02/27/2025 07:09:17 PM","02/03/2025 06:38:21 PM","false","0","0",null,null,null,null,null,null,null,null,null], [629,"p4av-8ua2","ECA Riparian Corridors","
      Displays areas with Riparian Corridors in the City of Seattle. See Ordinance Number: 122738.

      A polygon feature class showing Riparian Corridors in Seattle. Used to implement and regulate the City of Seattle's Environmentally Critical Areas (ECA) policies.  

      The riparian corridor includes the riparian watercourse and the riparian management area. The riparian watercourse is the watercourse of Type F, Np, and Ns waters defined in WAC 222-16-030 and 222-16-031 that have fish or wildlife habitat. The riparian management area is the area within 100 feet of the riparian watercourse measured horizontally landward from the ordinary high water mark of the watercourse as surveyed in the field, or from the top of the bank if the ordinary high water mark cannot be determined. 

      For more information about the definition of riparian corridors, see Seattle Municipal Code section 25.09.012, Environmentally Critical Areas (ECA) definitions. 

      Updated as needed.
      ","Allen Grissom","federated_href",null,"sdci,seattle gis open data,eca,environmental,landuse,planning,riparian corridors","https://data.seattle.gov/d/p4av-8ua2","https://data.seattle.gov/resource/p4av-8ua2.json","02/03/2025 06:37:15 PM","05/11/2025 07:03:26 PM","02/03/2025 06:37:15 PM","false","0","0",null,null,null,null,null,null,null,null,null], [630,"w3ip-ra4u","Rain Gages","

      Primarily supports the permanent Combined Sewer Overflow monitoring locations network to determine the beginning and ending of rainfall events and calculate rainfall depth.  Also, supports other DWW monitoring programs such as sampling, modeling, and O&M functions.  Contains data from UTIL.RAIN_GAGES.  Labels are based on the attribute RG_VICINITY_NAME.

      ","Allen Grissom","federated_href",null,"dww,seattle gis open data,rain gage,public utility,gis","https://data.seattle.gov/d/w3ip-ra4u","https://data.seattle.gov/resource/w3ip-ra4u.json","02/03/2025 06:37:46 PM","08/02/2025 07:03:21 PM","02/03/2025 06:37:46 PM","false","0","0",null,null,null,null,null,null,null,null,null], [631,"eqw3-998w","Missing Sidewalks","
      The Pedestrian Element of the Seattle Transportation Plan (STP) is a blueprint to create a more walkable Seattle and provides a suite of pedestrian improvements across the City. The intent is to focus resources on access to public schools, parks, and light rail, streetcar, and frequent transit networks12, in areas where walking conditions are difficult, and where people most need to be able to walk.  It highlights the needs of people walking and rolling and guides future investments to achieve STP goals.

      The process is based on an analysis of factors related to the STP’s goals of safety, equity, sustainability, mobility & economic vitality, livability, and maintenance & modernization. This data-driven prioritization framework helps the city provide targeted improvements that reflect community priorities, City policy objectives, and current data.  

      Throughout the life of the STP, there will be opportunities to evaluate what has been implemented and what can be prioritized in future funding cycles, within the context of the STP's goals, funding availability and project readiness, and other emergent needs. Decisions made as we craft regular STP Implementation Plans will determine the pace of STP Pedestrian Priority Investment Network implementation.  

      Refresh Cycle: None, Static. Manually as required.
      • Original Publish: 5/23/2024
      • Update Publish: 7/11/2024 per Policy and Planning team
      Contact: Policy and Planning team

      ","Allen Grissom","federated_href",null,"stp,pedestrian element,pedestrian,seattle transportation plan,gis,seattle gis open data,sdot,policy and planning","https://data.seattle.gov/d/eqw3-998w","https://data.seattle.gov/resource/eqw3-998w.json","02/03/2025 06:37:58 PM","02/27/2025 07:09:19 PM","02/03/2025 06:37:58 PM","false","1","0",null,null,null,null,null,null,null,null,null], [632,"xpbh-3yik","Selected Housing Characteristics (DP04)","Data from:  American Community Survey, 5-year Series

      King County, Washington census tracts with nonoverlapping vintages of the 5-year American Community Survey (ACS) estimates starting in 2010 from the U.S. Census Bureau's demographic profile of Selected Housing Characteristics (DP04). Also includes the most recent release annually with the vintage identified in the "ACS Vintage" field.

      The census tract boundaries match the vintage of the ACS data (currently 2010 and 2020) so please note the geographic changes between the decades. 

      Tracts have been coded as being within the City of Seattle as well as assigned to neighborhood groups called "Community Reporting Areas". These areas were created after the 2000 census to provide geographically consistent neighborhoods through time for reporting U.S. Census Bureau data. This is not an attempt to identify neighborhood boundaries as defined by neighborhoods themselves.

      Vintages: 2010, 2015, 2020, 2021, 2022, 2023
      ACS Table(s): American Community Survey, 5-year Series

      King County, Washington census tracts with nonoverlapping vintages of the 5-year American Community Survey (ACS) estimates starting in 2010 from the U.S. Census Bureau's demographic profile of Selected Social Characteristics (DP02). Also includes the most recent release annually with the vintage identified in the "ACS Vintage" field.

      The census tract boundaries match the vintage of the ACS data (currently 2010 and 2020) so please note the geographic changes between the decades. 

      Tracts have been coded as being within the City of Seattle as well as assigned to neighborhood groups called "Community Reporting Areas". These areas were created after the 2000 census to provide geographically consistent neighborhoods through time for reporting U.S. Census Bureau data. This is not an attempt to identify neighborhood boundaries as defined by neighborhoods themselves.

      Vintages: 2010, 2015, 2020, 2021, 2022, Table from the American Community Survey (ACS) 5-year series for King County and City of Seattle median values for a variety of topics including age, gross rent, monthly owner costs, family and nonfamily incomes, earnings. Includes the margin of error for the values.


      Vintages: 2010, 2015, 2020, 2023
      ACS Table(s): B01002, B25064, B25088, B19013, B19113, B19202, B20017
      Data downloaded from: Census Bureau's Explore Census Data 


      The United States Census Bureau's American Community Survey (ACS):



      Updated as needed, last updated October 2023.
      ","Allen Grissom","federated_href",null,"design review,dr,neighborhood specific guidelines,sdci,seattle gis open data","https://data.seattle.gov/d/mu4n-mz8g","https://data.seattle.gov/resource/mu4n-mz8g.json","02/03/2025 06:38:19 PM","04/06/2025 07:13:30 PM","02/03/2025 06:38:19 PM","false","0","0",null,null,null,null,null,null,null,null,null], [637,"kmhi-dndj","Transit Capital Corridors","Frequent, reliable transit service is the foundation of a transportation system that empowers all travelers and makes Seattle a truly transit-friendly city. A robust transit network is essential if Seattle is to meet its climate goals and address transportation-related inequities. At its most fundamental level, a transit network is made up of transit infrastructure such as bus lanes, transit signals, and bus stops, often arranged in corridors.  

      The transit service that travels on this infrastructure can be described as a series of routes that connect different parts of a community for a number of hours per day at a certain frequency (the number of trips at a bus stop per hour). SDOT’s vision for the service aspect of the transit network is followed by a vision for transit infrastructure in the sections below. 

      Public input and surveys consistently point to transit frequency as the most critical factor that influences ridership behavior. This fundamental concept directly informs SDOT’s shared vision for a “Frequent Transit Network” (FTN), which builds from the 2016 Transit Master Plan (TMP) and establishes aspirational frequency targets for transit corridors throughout the city. A high-frequency transit network enables people to move through the city with confidence in a timely arrival—and without the need to consult a schedule—throughout the day and every single day of the week. Continual investment in improved transit frequency in Seattle is essential for many reasons:  
      • Post-pandemic transit is likely to remain less commuter-focused and oriented specifically to Downtown Seattle and must adapt to new travel behaviors and patterns. 
      • To support everyday trips by transit (not just commutes), people need reliable mobility at all times, such as early mornings, midday, evenings and at night all days of the week, not just at peak times on weekdays.  
      • Transit needs to accommodate work schedules of non-traditional and low-income workers including the times noted above. 
      • Transit should be attractive for all types of trips throughout the week, including education, shopping, and recreational trips, as well as cultural gatherings. 
      • An excellent transit network is necessary to accommodate the mode shift required to respond to the impacts of climate change in the next decade. 
      • Frequent transit reduces wait time, increases reliability, and values the time for existing and future riders. 
      • Frequent transit makes transfers more feasible and allows a network of routes to function as a system. 
      • A connected network of frequent transit services is also critical to achieve STP climate goals, which require dramatic increases in transit ridership and VMT reduction to support broader efforts to reduce greenhouse gas (GHG) emissions from transportation.  
      • High transit frequencies as part of a reliable, all-day service network can create a more equitable transportation system, making it possible for people of all ages, incomes, and abilities to get where they want to go regardless of when or where they need to travel. The Transit Element presents a vision for frequent transit service in Seattle that goes beyond the original Frequent Transit Network (FTN) presented in the 2016 Transit Master Plan.  

      Refresh Cycle: None, Static. Manually as required.
      • Original Publish: 5/23/2024
      • Update Publish: 7/11/2024 per Policy and Planning team
      Contact: Policy and Planning team.
      ","Allen Grissom","federated_href",null,"bus,gis,light rail,sdot,seattle gis open data,seattle transportation plan,stp,transit,transit element","https://data.seattle.gov/d/kmhi-dndj","https://data.seattle.gov/resource/kmhi-dndj.json","02/03/2025 06:38:02 PM","02/27/2025 07:08:39 PM","02/03/2025 06:38:02 PM","false","0","0",null,null,null,null,null,null,null,null,null], [638,"d7tc-x4mg","City Annual Stats","Tabular data that powers basic monitoring dashboards for the total population, housing and jobs for the City of Seattle. Each record represents the totals for each year since 2000 (and 1995) through the most recently available data. Includes the change from the previous year.

      Sources include: 
      For population and housing the April 1 official population estimates are produced by the Washington State Office of Financial Management (OFM).  OFM population estimates are cited in numerous statutes using population as criteria for fund allocations, program eligibility, or program operations, and as criteria for determining county participation under the Growth Management Act.

      Table from the American Community Survey (ACS) 5-year series on income and earning related topics for City of Seattle Council Districts, Comprehensive Plan Growth Areas and Community Reporting Areas. Table includes B19025 Aggregate Household Income, B19013 Median Household Income, B19001 Household Income, B19113 Median Family Household Income, B19101 Family Household Income, B19202 Median Nonfamily Household Income, B19201 Nonfamily Household Income, B19301 Per Capita Income/B19313 Aggregate Income/B01001 Sex by Age, C24010 Sex by Occupation of the Civilian Employed Population 16 years and Over, B20017 Median Earnings by Sex by Work Experience for the Population 16 years and over with Earnings, B20001 Sex by Earnings for the Population 16 years and over with Earnings. Data is pulled from block group tables for the most recent ACS vintage and summarized to the neighborhoods based on block group assignment.

      Table created for and used in the Neighborhood Profiles application.

      Vintages: 2023
      Data downloaded from: 

      DCLUSTAT - Description of address establishment and validation status related to DCLU business process. 
      Valid values: 
      • INITIAL VALUE: SPU-added records are assigned this value upon creation. 
      • DRAFT: only DPD-added records are assigned this value upon creation.
      • FIELD VERIFIED: only DPD can assign this value. Indicates that DPD at some point conducted a site visit. This value is not reliably assigned and is not necessarily an indicator of a correct address. 
      • CANCELED: only DPD can assign this value. The address was never utilized. 
      • RETIRED: DPD or SPU can assign this value. The address may have been utilized for some period of time but was then replaced by a different address for the location or retired from use completely. 

      DCLUSTATDT - Date of creation or modification of record. 

      SOURCENAME - Descriptive character string identifying agency, department or divisional record source or usage. 
      Valid values: 
      • DPD_MAF: Added or modified by DPD 
      • CGDB_MAFEDITS: Added or modified by SPU
      • INIT_MAF: The initial record value, likely harvested from King County Assessor data when the MAF/DAP was first implemented.
      Data refreshed daily.
      ","Allen Grissom","federated_href",null,"address,addresses,maf,seattle,seattle gis open data,transpo","https://data.seattle.gov/d/ctqe-m6xd","https://data.seattle.gov/resource/ctqe-m6xd.json","02/03/2025 06:37:33 PM","09/01/2025 07:03:49 PM","02/03/2025 06:37:33 PM","false","1","0",null,null,null,null,null,null,null,null,null], [641,"474u-m4kp","IFADashboardData","

      This data layer includes key performance metrics collected by the City and partners tracking the progress towards the goals of the Internet for All Seattle Initiative.  Internet for All Seattle Dashboards.   The data points reflect activities in five categories:  1) Affordable Connectivity Program, 2) Internet Connectivity, 3) Devices, 4) Digital Skills & Technical Support, and 5) Outreach & Assistance.  The majority of the Internet for All Seattle Action Plan items and data fall under these five areas.   Source data for Internet for All maps and dashboards.

      Updated quarterly.  Last update:  March 4, 2024.

      \n \n \n \n \n \n \n \n
      ATTRIBUTE NAMEDEFINITIONADDITIONAL INFORMATION
      ResourceOrganization or program providing metrics for this dashboard.Access for All Program - City of\n Seattle program to
      \n connect eligible organizations and locations in
      \n Seattle with free high speed internet service in
      \n partnership with Comcast, Astound Broadband,
      \n and Lumen.
      \n City of Seattle Facilities - City owned buildings,
      \n including Community Centers, City Hall, Seattle
      \n Center and others.
      \n Internet Essentials Program - Low-cost internet
      \n program provided by Comcast offering
      \n $9.95/month + tax for eligible households.
      \n Internet First Program - Low-cost internet program
      \n provided by Astound offering $50 Mbps Internet*
      \n  to qualifying low-income households.
      \n Other Partners - Other organizations partnering
      \n with the City of Seattle.
      \n Seattle Housing Authority - An independent public
      \n corporation in the city of Seattle responsible for
      \n public housing for low-income, elderly, and disabled
      \n residents.
      \n Seattle IT Digital Equity - City of Seattle, Seattle
      \n Information Technology Department Digital Equity
      \n Program.
      \n Seattle IT Digital Navigator - Seattle IT grant program
      \n providing funding to community-based organizations to
      \n provide digital navigation services.
      \n Seattle IT Technology Matching Fund - City of Seattle
      \n grant program providing funding to community-based
      \n organizations to increase internet access and adoption.
      \n Seattle Public Library - The publ","Allen Grissom","federated_href",null,"access for all,digital equity,digital inclusion,gis,ifa,internet connectivity,internet for all,itd,seattle gis open data,technology matching fund,tmf","https://data.seattle.gov/d/474u-m4kp","https://data.seattle.gov/resource/474u-m4kp.json","02/03/2025 06:38:11 PM","06/17/2025 07:08:51 PM","02/03/2025 06:38:11 PM","false","0","0",null,null,null,null,null,null,null,null,null], [642,"r9gr-mczm","Trash Racks","This layer displays all the catch basins, catch basin grated tops, sandboxes, junction boxes, inlets and trash racks within the City of Seattle (and the former service area north of the City limits) regardless of ownership.
      A catch basin is a connector to the storm drain system that typically includes an inlet where stormwater enters the catch basin and a sump to capture sediment, debris, and associated pollutants prior to the surface water flowing into a storm or sewer pipe. There are two main types of inlets: side inlets and grated inlets.  Side inlets are located adjacent to the curb and rely on the ability of the opening under the curb to capture flow. Grated inlets have gratings or metal grids to prevent large objects and debris from falling into the combined sewer or drainage system.  They collect surface runoff for conveyance in a pipe system. Sandboxes have wooden lids and are filled with sand or gravel and drain directly into the ground or to a culvert as part of the informal drainage system. Sandboxes are no longer being installed. Junction boxes are cement structure with a grated metal lid, shallow in depth, generally connect culverts and are inline as part of the informal ditch and culvert system.  Trash racks are grated structures that collect debris. Trash racks may be on maintenance holes, catch basins, other structures, or streams.
      Data source is DWW.catch_basin_pt_pv, and DWW.APPURTENANCE_PT_PV. Maintained by SPU GIS DWW Data Maintenance staff. This layer does not display when zoomed out beyond 1:899.

      Refreshed daily.
      ","Allen Grissom","federated_href",null,"appurtenance point,catch basin,catch basin - grated top,cb,cbl,inl,inlet,jb,jbs,junction box,junction box with sump,sandbox,sb,seattle gis open data,trash racks,trr","https://data.seattle.gov/d/r9gr-mczm","https://data.seattle.gov/resource/r9gr-mczm.json","02/03/2025 06:38:07 PM","09/01/2025 07:03:33 PM","02/03/2025 06:38:07 PM","false","0","0",null,null,null,null,null,null,null,null,null], [643,"p9m9-6r2b","Play Area","Play Areas maintained by Seattle Parks and Recreation.

      Refresh Cycle: Weekly

      Feature Class: DPR.PlayArea_PT
      ","Allen Grissom","federated_href",null,"common data layers,parks,play area,seattle gis open data,spr","https://data.seattle.gov/d/p9m9-6r2b","https://data.seattle.gov/resource/p9m9-6r2b.json","02/03/2025 06:38:33 PM","09/01/2025 07:03:50 PM","02/03/2025 06:38:33 PM","false","0","0",null,null,null,null,null,null,null,null,null], [644,"ruhs-jugf","Dynamic Message Signs","Displays dynamic message signs maintained by the Seattle Department of Transportation.

      Views: Link, which adds the recommended filter for general use of the dataset: 'CURRENT_STATUS = 'INSVC''

      Refresh Cycle: Daily

      Feature Class: SDOT.V_DMS
      ","Allen Grissom","federated_href",null,"common data layers,dynamic message signs,sdot,seattle gis open data,transportation","https://data.seattle.gov/d/ruhs-jugf","https://data.seattle.gov/resource/ruhs-jugf.json","02/03/2025 06:37:41 PM","09/01/2025 07:03:40 PM","02/03/2025 06:37:41 PM","false","0","0",null,null,null,null,null,null,null,null,null], [645,"9b4t-ptt6","Spray Parks","Spray Parks maintained by Seattle Parks and Recreation.

      This hosted feature layer is published with the following definition query on the DPR.WadingPools feature class: TYPE = 'Spray Feature'

      Refresh Cycle: Weekly

      Feature Class: DPR.WadingPools
      ","Allen Grissom","federated_href",null,"common data layers,parks,seattle gis open data,spr,spray parks,wading pools","https://data.seattle.gov/d/9b4t-ptt6","https://data.seattle.gov/resource/9b4t-ptt6.json","02/03/2025 06:38:33 PM","09/01/2025 07:03:30 PM","02/03/2025 06:38:33 PM","false","0","0",null,null,null,null,null,null,null,null,null], [646,"e5iu-8tia","Basketball Court Polygons","Basketball Courts maintained by Seattle Parks and Recreation.

      This hosted feature layer is published with the following definition query on the DPR.Sport_Court_OLN feature class: WHERE SPORT_TYPE = 'Basketball'

      Refresh Cycle: Weekly

      Feature Class: DPR.Sport_Court_OLN
      ","Allen Grissom","federated_href",null,"basketball,common data layers,courts,parks,seattle gis open data,sports,spr","https://data.seattle.gov/d/e5iu-8tia","https://data.seattle.gov/resource/e5iu-8tia.json","02/03/2025 06:38:32 PM","09/01/2025 07:03:50 PM","02/03/2025 06:38:32 PM","false","0","0",null,null,null,null,null,null,null,null,null], [647,"d5rp-9ihj","Skate Parks","Skate park location within the City of Seattle that is managed by Seattle Parks. Does not include private or other agency skate parks.

      Refresh Cycle: Weekly

      Feature Class: DPR.SkatePark
      ","Allen Grissom","federated_href",null,"common data layers,parks,seattle gis open data,skate parks,spr","https://data.seattle.gov/d/d5rp-9ihj","https://data.seattle.gov/resource/d5rp-9ihj.json","02/03/2025 06:38:26 PM","09/01/2025 07:03:34 PM","02/03/2025 06:38:26 PM","false","0","0",null,null,null,null,null,null,null,null,null], [648,"7saz-4rhx","Play Equipment","Seattle Parks and Recreation Playarea Equipment locations and Inventory. Identifies children (ages 2-12) Playarea locations within Seattle Parks system. The Playarea inventory identifies equipment type, manufacture, and intended age range usage.

      Refresh Cycle: Weekly

      Feature Class: DPR.EAM_Play_Equipment_PT
      ","Allen Grissom","federated_href",null,"common data layers,parks,play equipment,seattle gis open data,spr","https://data.seattle.gov/d/7saz-4rhx","https://data.seattle.gov/resource/7saz-4rhx.json","02/03/2025 06:38:26 PM","09/01/2025 07:03:48 PM","02/03/2025 06:38:26 PM","false","0","0",null,null,null,null,null,null,null,null,null], [649,"pt2v-d8j5","Golf Courses","Seattle Parks and Recreation Golf Course locations. SPR Golf Courses are managed by contractors.

      Refresh Cycle: Weekly

      Feature Class: DPR.GolfCourse
      ","Allen Grissom","federated_href",null,"common data layers,golf courses,parks,seattle gis open data,spr","https://data.seattle.gov/d/pt2v-d8j5","https://data.seattle.gov/resource/pt2v-d8j5.json","02/03/2025 06:38:28 PM","09/01/2025 07:03:42 PM","02/03/2025 06:38:28 PM","false","0","0",null,null,null,null,null,null,null,null,null], [650,"qvud-2za4","Freight Network","Freight related data grouped together and made up of major truck streets, freight network, over legal routes, and heavy haul network. Data is maintained by Seattle Department of Transportation.

      Feature Class:
      • MajTrkStrts
      • FMP_FreightNetwork
      • Freight_OverLegalRoutes
      • Freight_HeavyHaulNetwork

      Refresh Cycle: Nightly Refresh
      ","Allen Grissom","federated_href",null,"freight,freight network,heavy haul network,major truck streets,over legal routes,sdot,seattle gis open data","https://data.seattle.gov/d/qvud-2za4","https://data.seattle.gov/resource/qvud-2za4.json","02/03/2025 06:37:34 PM","09/01/2025 07:03:39 PM","02/03/2025 06:37:34 PM","false","0","0",null,null,null,null,null,null,null,null,null], [651,"pwn3-9xqc","School Zones","Areas near schools that are designated as school speed zones.

      Refresh: Daily

      Contact: DOT_IT_GIS@seattle.gov
      ","Allen Grissom","federated_href",null,"school zones,sdot,seattle gis open data","https://data.seattle.gov/d/pwn3-9xqc","https://data.seattle.gov/resource/pwn3-9xqc.json","02/03/2025 06:37:43 PM","09/01/2025 07:03:48 PM","02/03/2025 06:37:43 PM","false","0","0",null,null,null,null,null,null,null,null,null], [652,"xehp-wdvg","ECA Potential Slide Areas","Displays Environmentally Critical Areas (ECA) in the City of Seattle. For more information about the definition of the ECA layers, see Seattle Municipal Code section 25.09.

      Updated as needed.
      ","Allen Grissom","federated_href",null,"eca,seattle gis open data","https://data.seattle.gov/d/xehp-wdvg","https://data.seattle.gov/resource/xehp-wdvg.json","02/03/2025 06:38:22 PM","02/27/2025 07:08:11 PM","02/03/2025 06:38:22 PM","false","0","0",null,null,null,null,null,null,null,null,null], [653,"mnyd-tdx4","Sheet1$","

      This data layer includes key performance metrics collected by the City and partners tracking the progress towards the goals of the Internet for All Seattle Initiative.  Internet for All Seattle Dashboards.   The data points reflect activities in five categories:  1) Affordable Connectivity Program, 2) Internet Connectivity, 3) Devices, 4) Digital Skills & Technical Support, and 5) Outreach & Assistance.  The majority of the Internet for All Seattle Action Plan items and data fall under these five areas.   Source data for Internet for All maps and dashboards.

      Updated quarterly.  Last update:  March 4, 2024.

      \n \n \n \n \n \n \n \n
      ATTRIBUTE NAMEDEFINITIONADDITIONAL INFORMATION
      ResourceOrganization or program providing metrics for this dashboard.Access for All Program - City of\n Seattle program to
      \n connect eligible organizations and locations in
      \n Seattle with free high speed internet service in
      \n partnership with Comcast, Astound Broadband,
      \n and Lumen.
      \n City of Seattle Facilities - City owned buildings,
      \n including Community Centers, City Hall, Seattle
      \n Center and others.
      \n Internet Essentials Program - Low-cost internet
      \n program provided by Comcast offering
      \n $9.95/month + tax for eligible households.
      \n Internet First Program - Low-cost internet program
      \n provided by Astound offering $50 Mbps Internet*
      \n  to qualifying low-income households.
      \n Other Partners - Other organizations partnering
      \n with the City of Seattle.
      \n Seattle Housing Authority - An independent public
      \n corporation in the city of Seattle responsible for
      \n public housing for low-income, elderly, and disabled
      \n residents.
      \n Seattle IT Digital Equity - City of Seattle, Seattle
      \n Information Technology Department Digital Equity
      \n Program.
      \n Seattle IT Digital Navigator - Seattle IT grant program
      \n providing funding to community-based organizations to
      \n provide digital navigation services.
      \n Seattle IT Technology Matching Fund - City of Seattle
      \n grant program providing funding to community-based
      \n organizations to increase internet access and adoption.
      \n Seattle Public Library - The publ","Allen Grissom","federated_href",null,"access for all,digital equity,digital inclusion,gis,ifa,internet connectivity,internet for all,itd,seattle gis open data,technology matching fund,tmf","https://data.seattle.gov/d/mnyd-tdx4","https://data.seattle.gov/resource/mnyd-tdx4.json","02/03/2025 06:38:11 PM","02/27/2025 07:08:56 PM","02/03/2025 06:38:11 PM","false","0","0",null,null,null,null,null,null,null,null,null], [654,"cnfu-3jwy","SPU DWW Force Mainlines","SPU DWW Mainlines is a Group Layer containing all Lifecycles, Ownerships, and other variations of Drainage and Wastewater Mainlines. The Connected Mainlines are symbolized differently in two different layers, one displaying the Permitted Use of the pipe and another displaying the Probable Flow.

      Permitted Use describes the intended use of the pipe, including Sanitary, Combined, or Drainage flows. Probable Flow takes into account upstream pipes and makes an assumption on the type of flow within the pipes.

      Proposed Mainlines are planned but not yet installed or as-built.

      SPU DWW Aba Rem Mainlines refers to Abandoned and Removed Mainlines.

      Force Mainlines are Mainlines under pressure. Detention Lines and Polygons refer to Mainline Detention Infrastructure.

      The data is refreshed weekly and is maintained by the SPU GIS Data Maintenance Team. 
      ","Allen Grissom","federated_href",null,"combined,drainage,dww,mainline,seattle gis open data,sewer,spu","https://data.seattle.gov/d/cnfu-3jwy","https://data.seattle.gov/resource/cnfu-3jwy.json","02/03/2025 06:38:18 PM","08/28/2025 07:04:46 PM","02/03/2025 06:38:18 PM","false","0","0",null,null,null,null,null,null,null,null,null], [655,"xeax-bz9e","King County Tax Parcel Centroids with select City of Seattle geographic overlays","
      PLEASE NOTE: If choosing the Download option of "Spreadsheet" the field PIN is reformatted to a number - you will need to format it as a 10 character text string with leading zeros to join this data with data from King County.

      King County Assessor data has been summarized to the tax parcel identification number (PIN) and City of Seattle spatial overlay data has been assigned through geographic overlay processes.  This data is updated periodically and is used to support the analytical and reporting functions of the City of Seattle long-range and policy planning office.

      The table includes attribute data from the King County Assessor as well as spatial overlay data for various City of Seattle reporting geographies.  These geographic attributes are assigned as "majority rules" by land area in cases where multiple geographies span a single tax parcel.

      KCA tax parcels are created by King County for property tax assessment and collection and may not match development sites as defined by the City of Seattle (single buildings may span multiple tax parcels), may be stacked on top of each other to represent undivided interest and vertical parcels, or may be made up of several sites that are not contiguous.  Every effort is made to accurately summarize key tax parcel attributes to a single PIN.  

      Attributes include parcel centroid locations in latitude/longitude and Washington State Plane X,Y.  To get polygon representation of the data please see King County's open data page for parcels and join this table through the PIN field.  Please be aware that the King County Assessor site address is not a postal address and may not match other address sources for the same property such as postal, utility billing, and permitting.

      See the detailed data dictionary for more information.
      ","Allen Grissom","federated_href",null,"gis,king county assessor,parcels,planning,seattle gis open data,zoning","https://data.seattle.gov/d/xeax-bz9e","https://data.seattle.gov/resource/xeax-bz9e.json","02/03/2025 06:38:34 PM","07/12/2025 07:04:50 PM","02/03/2025 06:38:34 PM","false","0","0",null,null,null,null,null,null,null,null,null], [656,"d9jj-ygvn","All Cadastral GIS Data (FGDB)","This compressed file geodatabase contains the following layers:\nLegal Subdivisions - Line\nLegal Subdivisions - Polygon\nLegal Annotation\nCadastral Control Points\n\nThis dataset is updated on a weekly basis.","MAP_GIS","file","Land Base","annotation,cadastral,cadastre,gis,legal,legal control,legal line,lot,parcel,property,subdivisions","https://data.seattle.gov/d/d9jj-ygvn","https://data.seattle.gov/resource/d9jj-ygvn.json","03/25/2019 07:37:48 PM","01/29/2025 06:44:26 AM","03/25/2019 07:37:48 PM","false","1276","1116","GIS",null,null,null,"Seattle IT",null,null,"Monthly","Seattle Information Technology"], [657,"csjd-rsfd","Paid Parking Occupancy 2015 (Archived)","The City of Seattle has created an on-street paid parking occupancy data set and is providing access to this data set for public use for research and entrepreneurial purposes under the City’s Open Data Program. This data set has paid occupancy records for 2015.","Snyder, MaryCatherine","file","Transportation","curbspace,curb space,parking,pay stations,sdot","https://data.seattle.gov/d/csjd-rsfd","https://data.seattle.gov/resource/csjd-rsfd.json","10/07/2018 11:49:40 PM","01/29/2025 06:41:46 AM","10/07/2018 11:49:40 PM","false","93","269","Parking",null,null,"Public Domain","SDOT","http://www.seattle.gov/transportation/projects-and-programs/programs/parking-program/maps-and-data",null,"One Time","Seattle Department of Transportation"], [658,"39mj-g8gm","Paid Parking Occupancy 2016 (Archived)","The City of Seattle has created an on-street paid parking occupancy data set and is providing access to this data set for public use for research and entrepreneurial purposes under the City’s Open Data Program. This data set contains paid occupancy records from 2016.","Snyder, MaryCatherine","file","Transportation","pay stations,curbspace,sdot,curb space,parking","https://data.seattle.gov/d/39mj-g8gm","https://data.seattle.gov/resource/39mj-g8gm.json","10/08/2018 01:37:15 AM","01/28/2025 11:39:16 PM","10/08/2018 01:37:15 AM","false","116","828","SDOT",null,null,"Public Domain","SDOT","http://www.seattle.gov/transportation/projects-and-programs/programs/parking-program/maps-and-data",null,"One Time","Seattle Department of Transportation"], [659,"dnq8-iur2","Paid Parking Occupancy 2012 (Archived)","The City of Seattle has created an on-street paid parking occupancy data set and is providing access to this data set for public use for research and entrepreneurial purposes under the City’s Open Data Program.\n\nThis data set contains paid occupancy records in 2012.","Snyder, MaryCatherine","file","Transportation","pay stations,curb space,sdot,curbspace,parking","https://data.seattle.gov/d/dnq8-iur2","https://data.seattle.gov/resource/dnq8-iur2.json","09/14/2018 06:25:04 PM","01/29/2025 06:50:29 AM","09/14/2018 06:25:04 PM","false","103","220","Parking",null,null,"Public Domain","SDOT","http://www.seattle.gov/transportation/projects-and-programs/programs/parking-program/maps-and-data",null,"One Time","Seattle Department of Transportation"], [660,"dsnw-ptpi","Paid Parking Occupancy 2014 (Archived)","The City of Seattle has created an on-street paid parking occupancy data set and is providing access to this data set for public use for research and entrepreneurial purposes under the City’s Open Data Program. This data set contains paid occupancy records in 2014.","Snyder, MaryCatherine","file","Transportation","curb space,pay stations,sdot,parking,curbspace","https://data.seattle.gov/d/dsnw-ptpi","https://data.seattle.gov/resource/dsnw-ptpi.json","10/07/2018 10:20:30 PM","01/29/2025 06:53:58 AM","10/07/2018 10:20:30 PM","false","73","169","Parking",null,null,"Public Domain","SDOT","http://www.seattle.gov/transportation/projects-and-programs/programs/parking-program/maps-and-data",null,"One Time","Seattle Department of Transportation"], [661,"t96b-taja","Paid Parking Occupancy 2017 (Archived)","The City of Seattle has created an on-street paid parking occupancy data set and is providing access to this data set for public use for research and entrepreneurial purposes under the City’s Open Data Program. This data set contains paid occupancy records from 2017.","Snyder, MaryCatherine","file","Transportation","curbspace,sdot,parking,curb space,pay stations","https://data.seattle.gov/d/t96b-taja","https://data.seattle.gov/resource/t96b-taja.json","10/08/2018 02:38:40 PM","01/30/2025 04:08:10 AM","10/08/2018 02:38:40 PM","false","194","213","Parking",null,null,"Public Domain","SDOT","http://www.seattle.gov/transportation/projects-and-programs/programs/parking-program/maps-and-data",null,"One Time","Seattle Department of Transportation"], [662,"3s27-hw36","Paid Parking Occupancy 2013 (Archived)","The City of Seattle has created an on-street paid parking occupancy data set and is providing access to this data set for public use for research and entrepreneurial purposes under the City’s Open Data Program. This data set covers paid occupancy records in 2013.","Snyder, MaryCatherine","file","Transportation","curb space,sdot,curbspace,pay stations,parking","https://data.seattle.gov/d/3s27-hw36","https://data.seattle.gov/resource/3s27-hw36.json","09/14/2018 06:29:56 PM","01/29/2025 04:45:00 AM","09/14/2018 06:29:56 PM","false","100","247","Paid Parking",null,null,"Public Domain","SDOT","http://www.seattle.gov/transportation/projects-and-programs/programs/parking-program/maps-and-data",null,"One Time","Seattle Department of Transportation"], [663,"54j8-iz5t","Demo permits that are active","All demolition permits issued or in progress within the city of Seattle.","Daigle, Michael","filter","Permitting","building applications,building permits,construction permits,permit applications,sdci,seattle department of construction and inspections","https://data.seattle.gov/d/54j8-iz5t","https://data.seattle.gov/resource/54j8-iz5t.json","09/28/2019 11:06:40 PM","02/12/2025 12:35:26 AM","09/01/2025 01:24:41 AM","true","611","626",null,"183730","16","Public Domain","City of Seattle","http://www.seattle.gov/sdci","76t5-zqzr","Daily",null], [664,"3ivm-nske","WDR3","All building permits issued or in progress within the city of Seattle, subject to Waste Diversion Report requirements","SteveW","filter","Permitting","building applications,building permits,construction permits,permit applications,sdci,seattle department of construction and inspections","https://data.seattle.gov/d/3ivm-nske","https://data.seattle.gov/resource/3ivm-nske.json","05/07/2021 06:52:06 PM","02/12/2025 12:35:21 AM","09/01/2025 01:24:41 AM","true","106","593",null,"183730","9","Public Domain","City of Seattle","http://www.seattle.gov/sdci","76t5-zqzr","Daily","Seattle Public Utilities"], [665,"q2zt-n6jk","Issued LU","Land Use permits that are in progress or that have been issued in Seattle.","Allen, Matthew","filter","Permitting","building applications,early design guidance,land use applications,land use permits,master use permits,permit applications,sdci,seattle department of construction and inspections","https://data.seattle.gov/d/q2zt-n6jk","https://data.seattle.gov/resource/q2zt-n6jk.json","12/15/2019 01:37:48 AM","01/30/2025 11:46:00 PM","09/01/2025 12:17:20 AM","true","22572","262",null,"0","24","Public Domain","City of Seattle","http://www.seattle.gov/sdci","ht3q-kdvx","Daily","Seattle Department of Constructions and Inspections"], [666,"yw4z-3dsr","Checkouts by Title 2022-2023","Seattle Public Library Checkouts of Physical and Electronic items in 2022 and 2023","Palay, Claire","filter","Community",null,"https://data.seattle.gov/d/yw4z-3dsr","https://data.seattle.gov/resource/yw4z-3dsr.json","12/09/2023 12:13:04 AM","12/09/2023 12:16:22 AM","08/06/2025 01:18:23 PM","true","68","14981","Title","5207534","12","Public Domain","The Seattle Public Library","https://www.spl.org","tmmm-ytt6","One Time","Seattle Public Library"], [667,"mzxi-c7x6","Demolition Permits","All demolition permits issued or in progress within the city of Seattle.","Callison, Moon","filter","Permitting","building applications,building permits,construction permits,permit applications,sdci,seattle department of construction and inspections","https://data.seattle.gov/d/mzxi-c7x6","https://data.seattle.gov/resource/mzxi-c7x6.json","05/17/2018 11:56:02 PM","05/11/2023 03:22:43 PM","09/01/2025 01:24:41 AM","true","814","1209","Permits","183730","11","Public Domain","City of Seattle","http://www.seattle.gov/sdci","76t5-zqzr","Daily","Seattle Department of Construction & Inspections"], [668,"8tqq-u7ib","Issued Building Permits","All building permits issued or in progress within the city of Seattle.","Allen, Matthew","filter","Built Environment","building applications,building permits,construction permits,permit applications,sdci,seattle department of construction and inspections","https://data.seattle.gov/d/8tqq-u7ib","https://data.seattle.gov/resource/8tqq-u7ib.json","12/31/2019 08:49:17 PM","02/28/2025 09:12:25 PM","09/01/2025 01:24:41 AM","true","621","679",null,"0","22","Public Domain","City of Seattle","http://www.seattle.gov/sdci","76t5-zqzr","Daily","Seattle Department of Constructions and Inspections"], [669,"77f5-yasg","Lottery Medallion","This data set includes all transfer dates and values of taxicab and for-hire vehicle medallions.","Consumer Protection Unit, FAS","filter","City Business","for-hire,medallion,taxi,tnc","https://data.seattle.gov/d/77f5-yasg","https://data.seattle.gov/resource/77f5-yasg.json","12/07/2016 04:24:27 PM","01/30/2025 03:20:40 AM","08/29/2025 06:25:21 PM","true","458","749",null,"2431","2","Public Domain","City of Seattle",null,"rk6r-ehyv",null,null], [670,"phjv-68rp","Public Data Inventory","An inventory of datasets and other data assets that are published by the City of Seattle on data.seattle.gov","Open Data Team","filter","City Business","catalog,inventory","https://data.seattle.gov/d/phjv-68rp","https://data.seattle.gov/resource/phjv-68rp.json","06/27/2024 05:20:41 PM","08/09/2024 09:53:42 PM","09/01/2025 12:40:21 AM","true","406","1241","Data Asset",null,"24",null,null,null,"6ykq-xgyi","Daily","Seattle Information Technology"], [671,"cinn-dhtk","WDR4","All building permits issued or in progress within the city of Seattle.","SteveW","filter","Permitting","building applications,building permits,construction permits,permit applications,sdci,seattle department of construction and inspections","https://data.seattle.gov/d/cinn-dhtk","https://data.seattle.gov/resource/cinn-dhtk.json","06/22/2021 12:10:10 PM","01/30/2025 03:20:46 AM","09/01/2025 01:24:41 AM","true","2067","2315",null,"79754","13","Public Domain","City of Seattle","http://www.seattle.gov/sdci","76t5-zqzr","Daily","Seattle Department of Constructions and Inspections"], [672,"3d8j-j8rp","Seattle Parks and Recreation GIS Map Layer Web Services URL - Golf Courses","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Golf Courses dataset.","Bhang-Barnett, Hazel","href",null,"parks,course,courses,endpoint,feature,gis,golf,layer,map,park,recreation,seattle,services,url,web","https://data.seattle.gov/d/3d8j-j8rp",null,"04/05/2016 08:46:46 PM","01/28/2025 11:41:19 PM","04/05/2016 08:46:46 PM","false","99","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/21",null,"Weekly","Seattle Parks and Recreation"], [673,"ju2a-8hih","Seattle Parks and Recreation GIS Map Layer Web Services URL - Tennis Court Outline","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Tennis Court Outline dataset.","Bhang-Barnett, Hazel","href",null,"layer,gis,feature,court,map,endpoint,tennis,park,url,parks,recreation,outline,seattle,services,web","https://data.seattle.gov/d/ju2a-8hih",null,"04/06/2016 09:40:08 PM","01/29/2025 04:17:35 PM","04/06/2016 09:40:08 PM","false","86","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/48",null,"Weekly","Seattle Parks and Recreation"], [674,"hzy3-z5rz","Seattle Parks and Recreation GIS Map Layer Web Services URL - Basketball Courts Point","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Basketball Courts Point dataset.","Bhang-Barnett, Hazel","href",null,"basketball,courts,endpoint,feature,gis,layer,map,park,parks,point,recreation,seattle,services,url,web","https://data.seattle.gov/d/hzy3-z5rz",null,"04/05/2016 04:44:24 PM","01/29/2025 03:50:07 PM","04/05/2016 04:44:24 PM","false","112","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/4",null,"Weekly","Seattle Parks and Recreation"], [675,"vghy-nwt5","Seattle Parks and Recreation GIS Map Layer Web Services URL - Football Field Point","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Football Field Point dataset.","Bhang-Barnett, Hazel","href","Community and Culture","endpoint,feature,field,football,gis,layer,map,park,parks,point,recreation,seattle,services,url,web","https://data.seattle.gov/d/vghy-nwt5",null,"04/05/2016 08:03:58 PM","01/30/2025 04:28:49 AM","04/05/2016 08:03:58 PM","false","107","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/16",null,"Weekly","Seattle Parks and Recreation"], [676,"mhg3-rz6r","Seattle Parks and Recreation GIS Map Layer Web Services URL - Gardens","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Gardens dataset.","Bhang-Barnett, Hazel","href",null,"endpoint,feature,gardens,gis,layer,map,park,parks,recreation,seattle,services,url,web","https://data.seattle.gov/d/mhg3-rz6r",null,"04/05/2016 08:43:33 PM","01/29/2025 06:41:48 PM","04/05/2016 08:43:33 PM","false","103","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/20",null,"Weekly","Seattle Parks and Recreation"], [677,"3mxq-d8jx","Seattle Parks and Recreation GIS Map Layer Web Services URL - View Points","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations View Points dataset.","Bhang-Barnett, Hazel","href",null,"endpoint,feature,gis,layer,map,park,parks,points,recreation,seattle,services,url,view,web","https://data.seattle.gov/d/3mxq-d8jx",null,"04/06/2016 10:07:00 PM","01/29/2025 04:40:43 AM","04/06/2016 10:07:00 PM","false","230","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/54",null,"Weekly","Seattle Parks and Recreation"], [678,"n4pn-it8q","Seattle Parks and Recreation GIS Map Layer Web Services URL - Horseshoe Pit Outline","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Horseshoe Pit Outline dataset.","Bhang-Barnett, Hazel","href",null,"horseshoe,seattle,services,map,outline,park,feature,endpoint,parks,url,layer,web,gis,pit,recreation","https://data.seattle.gov/d/n4pn-it8q",null,"04/05/2016 09:57:09 PM","01/29/2025 06:45:25 PM","04/05/2016 09:57:09 PM","false","92","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/25",null,"Weekly","Seattle Parks and Recreation"], [679,"pst6-y4ju","Seattle Parks and Recreation GIS Map Layer Web Services URL - Soccer Field Outline","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Soccer Field Outline dataset.","Bhang-Barnett, Hazel","href",null,"field,endpoint,seattle,map,outline,services,parks,recreation,layer,gis,feature,url,web,soccer,park","https://data.seattle.gov/d/pst6-y4ju",null,"04/06/2016 07:55:56 PM","01/29/2025 10:57:32 PM","04/06/2016 07:55:56 PM","false","92","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/40",null,"Weekly","Seattle Parks and Recreation"], [680,"56ma-k9wu","Seattle Parks and Recreation GIS Map Layer Web Services URL - Volleyball Court Outline","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Volleyball Court Outline dataset.","Bhang-Barnett, Hazel","href",null,"services,outline,park,parks,recreation,seattle,url,volleyball,web,map,layer,gis,feature,endpoint,court","https://data.seattle.gov/d/56ma-k9wu",null,"04/06/2016 09:59:21 PM","01/29/2025 05:00:37 AM","04/06/2016 09:59:21 PM","false","105","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/52",null,"Weekly","Seattle Parks and Recreation"], [681,"sn6h-uggc","Seattle Domestic Violence Court Data Reports","Seattle Municipal Court domestic violence case filings by charge type, hearing volume, defendant demographics, and time to file and time to resolution","Gary Ireland","href","Public Safety","charge types,court,dv,domestic violence,defendant demographics,dv cases,case filings","https://data.seattle.gov/d/sn6h-uggc",null,"06/12/2019 08:27:45 PM","01/30/2025 03:50:08 AM","06/12/2019 08:27:45 PM","false","214","0","Municipal Court",null,null,"Public Domain","City of Seattle",null,null,"Quarterly","Seattle Municipal Court"], [682,"g8vi-cv8y","Seattle Parks and Recreation GIS Map Layer Web Services URL - Environmental Learning Centers","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Environmental Learning Centers dataset.","Bhang-Barnett, Hazel","href",null,"centers,endpoint,environmental,feature,gis,layer,learning,map,park,parks,recreation,seattle,services,url,web","https://data.seattle.gov/d/g8vi-cv8y",null,"04/05/2016 06:39:55 PM","01/29/2025 03:28:17 PM","04/05/2016 06:39:55 PM","false","86","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/13",null,"Weekly","Seattle Parks and Recreation"], [683,"9kji-x2xj","Seattle Parks and Recreation GIS Map Layer Web Services URL - Misc Court Point","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Misc Court Point dataset.","Bhang-Barnett, Hazel","href",null,"court,endpoint,feature,gis,layer,map,misc,park,parks,point,recreation,seattle,services,url,web","https://data.seattle.gov/d/9kji-x2xj",null,"04/05/2016 08:13:24 PM","01/29/2025 06:20:18 AM","04/05/2016 08:13:24 PM","false","78","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/18",null,"Weekly","Seattle Parks and Recreation"], [684,"u9v2-4bz4","Seattle Parks and Recreation GIS Map Layer Web Services URL - Swimming Pools","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Swimming Pools dataset.","Bhang-Barnett, Hazel","href",null,"endpoint,feature,gis,layer,map,park,parks,pools,recreation,seattle,services,swimming,url,web","https://data.seattle.gov/d/u9v2-4bz4",null,"04/06/2016 08:20:13 PM","01/30/2025 04:18:24 AM","04/06/2016 08:20:13 PM","false","123","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/44",null,"Weekly","Seattle Parks and Recreation"], [685,"jyjy-n3ap","SDOT GIS Datasets","The City of Seattle Transportation GIS Datasets \n| https://data-seattlecitygis.opendata.arcgis.com/datasets?t=transportation \n| Lifecycle status: Production \n| Purpose: to enable open access to SDOT GIS data. This website includes over 60 transportation-related GIS datasets from categories such as parking, transit, pedestrian, bicycle, and roadway assets.\n| PDDL: https://opendatacommons.org/licenses/pddl/\n\n\n| The City of Seattle makes no representation or warranty as to its accuracy. The City of Seattle has created this service for our GIS Open Data website. We do reserve the right to alter, suspend, re-host, or retire this service at any time and without notice.\n\n\n| Datasets: 2007 Traffic Flow Counts, 2008 Traffic Flow Counts, 2009 Traffic Flow Counts, 2010 Traffic Flow Counts, 2011 Traffic Flow Counts, 2012 Traffic Flow Counts, 2013 Traffic Flow Counts, 2014 Traffic Flow Counts, 2015 Traffic Flow Counts, 2016 Traffic Flow Counts, 2017 Traffic Flow Counts, 2018 Traffic Flow Counts, Areaways, Bike Racks, Blockface, Bridges, Channelization File Geodatabase, Collisions, Crash Cushions, Curb Ramps, dotMaps Active Projects, Dynamic Message Signs, Existing Bike Facilities, Freight Network, Greater Downtown Alleys, Guardrails, High Impact Areas, Intersections, Marked Crosswalks, One-Way Streets, Paid Area Curbspaces, Pavement Moratoriums, Pay Stations, Peak Hour Parking Restrictions, Planned Bike Facilities, Public Garages or Parking Lots, Radar Speed Signs, Restricted Parking Zone (RPZ) Program, Retaining Walls, SDOT Capital Projects Input, Seattle On Street Paid Parking-Daytime Rates, Seattle On Street Paid Parking-Evening Rates, Seattle On Street Paid Parking-Morning Rates, Seattle Streets, SidewalkObservations, Sidewalks, Snow Ice Routes, Stairways, Street Design Concept Plans, Street Ends (Shoreline), Street Furnishings, Street Signs, Street Use Permits Use Addresses, Streetcar Lines, Streetcar Stations, Traffic Beacons, Traffic Cameras, Traffic Circles, Traffic Detectors, Traffic Lanes, Traffic Signals, Transit Classification, Trees.","SDOT GIS","href","Transportation","accidents,areaways,arterial classification,beacon,beacons,bicycle,bike master plan,bike rack,blockface,block number,car,circle,collisions,crash,crosswalk,curbspace,direction,existing bike facilities,first hill,flow,garage,gis,greenways,guardrails,intersections,its,lanes,one-way,parking,parking pay stations,pavement condition,pay stations,peak hour restrictions,pedestrian,percent slope,racks,radar speed signs,restrictions,sdot,seattle,sharrows,sidewalk,signals,signs,south lake union,speed limit,stairs,stairways,streetcar,street names,streets,surface type,surface width,traffic,traffic cameras,traffic detectors,traffic flow counts,traffic lanes,transit,transit classification,transportation,trees,vehicle,wa","https://data.seattle.gov/d/jyjy-n3ap",null,"05/08/2018 11:15:52 PM","01/29/2025 04:22:43 PM","05/08/2018 11:15:52 PM","false","4257","0","GIS",null,null,"Public Domain","SDOT & Seattle ITD","https://opendatacommons.org/licenses/pddl/summary/",null,"Other","Seattle Department of Transportation"], [686,"3vi5-ik2f","Seattle Traffic Camera Infractions","Traffic camera infractions issued in the City of Seattle by location and violation type","Gary Ireland","href","Public Safety","court,red light camera,school zone speed camera,ticket,traffic camera,traffic ticket","https://data.seattle.gov/d/3vi5-ik2f",null,"06/12/2019 09:16:26 PM","01/29/2025 04:46:44 AM","06/12/2019 09:16:26 PM","false","212","0","Traffic",null,null,"Public Domain","City of Seattle",null,null,"Quarterly","Seattle Municipal Court"], [687,"fq2b-mfqh","Seattle Parks and Recreation GIS Map Layer Web Services URL - Bocca Ball Outline","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Bocca Ball Outline dataset.","Bhang-Barnett, Hazel","href",null,"map,endpoint,layer,gis,feature,ball,bocca,parks,park,outline,recreation,seattle,services,url,web","https://data.seattle.gov/d/fq2b-mfqh",null,"04/05/2016 05:02:47 PM","01/29/2025 07:12:31 AM","04/05/2016 05:02:47 PM","false","84","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/7",null,"Weekly","Seattle Parks and Recreation"], [688,"sbvr-z5cg","Seattle Parks and Recreation GIS Map Layer Web Services URL - Swim Float","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Swim Float dataset.","Bhang-Barnett, Hazel","href",null,"park,map,layer,gis,float,feature,endpoint,web,url,swim,services,seattle,recreation,parks","https://data.seattle.gov/d/sbvr-z5cg",null,"04/06/2016 08:17:14 PM","01/30/2025 03:44:11 AM","04/06/2016 08:17:14 PM","false","105","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/43",null,"Weekly","Seattle Parks and Recreation"], [689,"36q2-um64","Seattle Municipal Court Hearing Volume","Number of Seattle Municipal Court criminal, infraction and specialty court hearings held by year","Gary Ireland","href","Public Safety","crime,infraction hearings,court,specialty court hearings,criminal case,criminal hearings","https://data.seattle.gov/d/36q2-um64",null,"06/12/2019 09:11:22 PM","01/28/2025 11:30:50 PM","06/12/2019 09:11:22 PM","false","91","0","Public Safety",null,null,"Public Domain","City of Seattle",null,null,"Quarterly","Seattle Municipal Court"], [690,"dfr4-83id","Seattle Parks and Recreation GIS Map Layer Web Services URL - Basketball Court Outline","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Basketball Court Outline dataset.","Bhang-Barnett, Hazel","href",null,"basketball,court,endpoint,feature,gis,layer,map,outline,park,parks,recreation,seattle,services,url,web","https://data.seattle.gov/d/dfr4-83id",null,"04/05/2016 04:54:50 PM","01/29/2025 06:48:04 AM","04/05/2016 04:54:50 PM","false","113","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/6",null,"Weekly","Seattle Parks and Recreation"], [691,"vchg-fmt4","SPU GIS Datasets","| https://data-seattlecitygis.opendata.arcgis.com/datasets?q=spu\n| Lifecycle status: Production\n| Purpose: to enable open access to SPU GIS data. This website includes many utility datasets from categories such as DSO, Drainage and Wastewater infrastructure, and Storm Infrastructure. Many of this datasets are linked from this website.","MAP_GIS","href","Land Base","cso,culverts,ditches,drainage,drains,dso,gis,green storm infrastructure,gsi,infrastructure,laterals,mainlines,npdes,outfalls,pipes,rain garden,side sewer,spu,storm,swales,utility,wastewater","https://data.seattle.gov/d/vchg-fmt4",null,"12/03/2018 05:30:47 PM","01/30/2025 04:27:43 AM","12/03/2018 05:30:47 PM","false","812","0","Seattle Public Utilities GIS Datasets",null,null,null,"Seattle Public Utilities & Seattle IT","https://data-seattlecitygis.opendata.arcgis.com/datasets?q=spu",null,"Weekly","Seattle Public Utilities"], [692,"n7kx-5wtc","Seattle Parks and Recreation GIS Map Layer Web Services URL - Skate Park","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Skate Park dataset.","Bhang-Barnett, Hazel","href",null,"endpoint,feature,gis,layer,map,park,parks,recreation,seattle,services,skate,url,web","https://data.seattle.gov/d/n7kx-5wtc",null,"04/06/2016 07:24:11 PM","01/29/2025 06:49:14 PM","04/06/2016 07:24:11 PM","false","130","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/37",null,"Weekly","Seattle Parks and Recreation"], [693,"w6kx-4wtz","Seattle Parks and Recreation GIS Map Layer Web Services URL - Fishing Piers","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Fishing Piers dataset.","Bhang-Barnett, Hazel","href",null,"endpoint,feature,fishing,gis,layer,map,park,parks,piers,recreation,seattle,services,url,web","https://data.seattle.gov/d/w6kx-4wtz",null,"04/05/2016 07:59:12 PM","01/30/2025 04:37:15 AM","04/05/2016 07:59:12 PM","false","100","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/15",null,"Weekly","Seattle Parks and Recreation"], [694,"8dh5-etnv","Seattle Parks and Recreation GIS Map Layer Web Services URL - Fire Pits","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Fire Pits dataset.","Bhang-Barnett, Hazel","href",null,"endpoint,feature,fire,gis,layer,map,park,parks,pit,recreation,seattle,services,url,web","https://data.seattle.gov/d/8dh5-etnv",null,"04/05/2016 07:54:01 PM","01/29/2025 06:07:25 AM","04/05/2016 07:54:01 PM","false","93","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/14",null,"Weekly","Seattle Parks and Recreation"], [695,"eqt4-hb79","Seattle Parks and Recreation GIS Map Layer Web Services URL - Play Area","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Play Area dataset.","Bhang-Barnett, Hazel","href",null,"url,play,services,parks,seattle,recreation,gis,feature,endpoint,areas,layer,map,park,web","https://data.seattle.gov/d/eqt4-hb79",null,"04/06/2016 06:16:24 PM","01/29/2025 07:05:09 AM","04/06/2016 06:16:24 PM","false","86","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/33",null,"Weekly","Seattle Parks and Recreation"], [696,"ghkn-z3c2","Seattle Municipal Court Court User Access and Fairness Survey","Seattle Municipal Court user perceptions of accessibility and fairness of court services in 2011 and 2015","Gary Ireland","href","Public Safety","court,court user,customer survey,fairness,access","https://data.seattle.gov/d/ghkn-z3c2",null,"06/12/2019 07:47:53 PM","01/29/2025 03:40:59 PM","06/12/2019 07:47:53 PM","false","76","0","Municipal Court",null,null,"Public Domain","City of Seattle",null,null,"Other","Seattle Municipal Court"], [697,"tyzn-cpzg","Seattle Parks and Recreation GIS Map Layer Web Services URL - Misc Court Outline","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Misc Court Outline dataset.","Bhang-Barnett, Hazel","href",null,"gis,court,endpoint,feature,layer,map,misc,outline,park,parks,recreation,seattle,services,url,web","https://data.seattle.gov/d/tyzn-cpzg",null,"04/05/2016 08:18:01 PM","01/30/2025 04:15:50 AM","04/05/2016 08:18:01 PM","false","92","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/19",null,"Weekly","Seattle Parks and Recreation"], [698,"rapi-ngct","Salmon Fry Production (natural-origin) - Cedar River","Since 1993, Washington Department of Fish and Wildlife (WDFW) has collected daily salmon outmigrant information from the Cedar River and estimates the annual natural-origin (sockeye) and wild (Chinook and coho) fry production for the year. All past production estimates are included in the latest report. Data provide estimates of egg to fry survival, migration timing, trapping efficiencies, and PIT array detections (as available). Seattle Public Utilities contributed funding to support this monitoring activity from 2005-2022 as part of the fulfillment of sockeye monitored associated with the Landsburg Mitigation Agreement and Cedar River Sockeye Monitoring Program. Methods and data are available from the report below (WDFW). The Publications website for WDFW provides public access to annual reports from 1997-2021 (https://wdfw.wa.gov/publications).","Carol Volk","href","Built Environment","cedar river,chinook,coho,egg-to-fry survival,fry trap,hcp,lma,migration timing,salmon,sockeye","https://data.seattle.gov/d/rapi-ngct",null,"01/02/2025 08:36:09 PM","01/02/2025 08:42:07 PM","01/02/2025 08:36:09 PM","false","32","0","annual fish production",null,null,null,"Carol Volk","https://wdfw.wa.gov/publications/02362",null,"Annually","Seattle Public Utilities"], [699,"kqdm-4wfs","Blockface space inventory","The Parking Blockface data are an inventory of paid parking blocks with the number of paid spaces within city limits. A blockface is a side of a Seattle street. The dataset contain city block paid parking attributes such as peak hours when parking is not allowed, the paid parking operating hours, parking rates, and the number of paid parking spaces on the blockface. The dataset is updated nightly.","Snyder, MaryCatherine","href","Transportation","block,blockface,paid,parking,seattle,street,transaction","https://data.seattle.gov/d/kqdm-4wfs",null,"10/23/2015 09:47:15 PM","01/29/2025 04:54:05 PM","10/23/2015 09:47:15 PM","false","526","37","Row",null,null,"Public Domain","Seattle Department of Transportation","http://www.seattle.gov/transportation",null,"To Be Determined","Seattle Department of Transportation"], [700,"xxbf-8wa5","Seattle Parks and Recreation GIS Map Layer Web Services URL - Small Craft Centers","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Small Craft Centers dataset.","Bhang-Barnett, Hazel","href",null,"endpoint,centers,craft,web,url,small,services,seattle,recreation,parks,park,map,layer,gis,feature","https://data.seattle.gov/d/xxbf-8wa5",null,"04/06/2016 07:41:00 PM","01/30/2025 04:46:15 AM","04/06/2016 07:41:00 PM","false","924","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/38",null,"Weekly","Seattle Parks and Recreation"], [701,"6whc-5em7","Seattle Parks and Recreation GIS Map Layer Web Services URL - Lacrosse Field","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Trails dataset.","Bhang-Barnett, Hazel","href",null,"lacrosse,gis,web,seattle,services,recreation,parks,feature,field,url,park,map,endpoint,layer","https://data.seattle.gov/d/6whc-5em7",null,"04/05/2016 10:01:58 PM","01/29/2025 05:45:08 AM","04/05/2016 10:01:58 PM","false","89","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/26",null,"Weekly","Seattle Parks and Recreation"], [702,"y7bd-f94k","Seattle Parks and Recreation GIS Map Layer Web Services URL - Motorized Boat Launch","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Motorized Boat Launch dataset.","Bhang-Barnett, Hazel","href",null,"boat,endpoint,feature,gis,launch,layer,map,motorized,park,parks,recreation,seattle,services,url,web","https://data.seattle.gov/d/y7bd-f94k",null,"04/05/2016 10:20:51 PM","01/30/2025 04:49:06 AM","04/05/2016 10:20:51 PM","false","105","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/29",null,"Weekly","Seattle Parks and Recreation"], [703,"n76g-bnnx","Seattle Parks and Recreation GIS Map Layer Web Services URL - Baseball Field Outline","Seattle Parks and Recreation GIS Map Layer Web Services URL - Baseball Field Outline\n\nSeattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Baseball Field Outline dataset.","Bhang-Barnett, Hazel","href",null,"parks,baseball,endpoint,feature,field,gis,layer,map,outline,park,recreation,seattle,services,url,web","https://data.seattle.gov/d/n76g-bnnx",null,"04/12/2016 03:45:10 PM","01/29/2025 06:47:18 PM","04/12/2016 03:45:10 PM","false","125","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/3",null,"Weekly","Seattle Parks and Recreation"], [704,"2wiz-bgzg","Seattle Marijuana Infractions","Marijuana violations filed in Seattle by type and year","Gary Ireland","href","Public Safety","court,marijuana,charges","https://data.seattle.gov/d/2wiz-bgzg",null,"06/12/2019 09:24:43 PM","01/28/2025 04:13:57 AM","06/12/2019 09:24:43 PM","false","120","0","Public Safety",null,null,"Public Domain","City of Seattle",null,null,"Quarterly","Seattle Municipal Court"], [705,"pqp4-jvs5","Seattle Parks and Recreation GIS Map Layer Web Services URL - Volleyball Court Point","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Volleyball Court Point dataset.","Bhang-Barnett, Hazel","href",null,"parks,point,gis,park,feature,web,recreation,seattle,layer,services,endpoint,court,url,map,volleyball","https://data.seattle.gov/d/pqp4-jvs5",null,"04/06/2016 09:55:49 PM","01/29/2025 06:54:55 PM","04/06/2016 09:55:49 PM","false","97","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/51",null,"Weekly","Seattle Parks and Recreation"], [706,"ad2g-nmgh","Seattle Parks and Recreation GIS Map Layer Web Services URL - Adult Fitness Equipment","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Adult Fitness Equipment dataset.","Bhang-Barnett, Hazel","href",null,"parks,map,park,layer,gis,fitness,feature,equipment,endpoint,adult,seattle,services,url,web,zone,recreation","https://data.seattle.gov/d/ad2g-nmgh",null,"04/05/2016 03:44:46 PM","01/29/2025 06:24:41 AM","04/05/2016 03:44:46 PM","false","113","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/0",null,"Weekly","Seattle Parks and Recreation"], [707,"8sq4-z6du","Seattle Parks and Recreation GIS Map Layer Web Services URL - Tennis Court Point","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Tennis Court Point dataset.","Bhang-Barnett, Hazel","href",null,"layer,web,url,tennis,services,seattle,recreation,point,parks,park,map,gis,feature,endpoint,court","https://data.seattle.gov/d/8sq4-z6du",null,"04/06/2016 09:35:50 PM","01/29/2025 06:09:55 AM","04/06/2016 09:35:50 PM","false","105","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/47",null,"Weekly","Seattle Parks and Recreation"], [708,"48j3-cd5k","Seattle Mental Health Court Hearings","Seattle Mental Health Court held hearings by hearing type and case stage","Gary Ireland","href","Public Safety","court,mental health,mental health court,mental health court case stages","https://data.seattle.gov/d/48j3-cd5k",null,"06/12/2019 08:08:35 PM","01/29/2025 04:49:40 AM","06/12/2019 08:08:35 PM","false","125","0","Mental Health",null,null,"Public Domain","City of Seattle",null,null,"Quarterly","Seattle Municipal Court"], [709,"jxcr-rhfz","Seattle Vehicle Infractions","City of Seattle vehicle infractions by type and year","Gary Ireland","href","Public Safety","court,parking,tickets,traffic camera,traffic tickets,vehicle,vehicle infractions","https://data.seattle.gov/d/jxcr-rhfz",null,"06/12/2019 09:13:46 PM","01/29/2025 04:21:16 PM","06/12/2019 09:13:46 PM","false","368","0","Municipal Court",null,null,"Public Domain","City of Seattle",null,null,"Quarterly","Seattle Municipal Court"], [710,"wgsg-58p9","Seattle Parks and Recreation GIS Map Layer Web Services URL - Picnic Table","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Picnic Table dataset.","Bhang-Barnett, Hazel","href",null,"endpoint,feature,gis,layer,map,park,parks,picnic,recreation,seattle,services,table,url,web","https://data.seattle.gov/d/wgsg-58p9",null,"04/06/2016 06:11:26 PM","01/30/2025 04:38:47 AM","04/06/2016 06:11:26 PM","false","99","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/32",null,"Weekly","Seattle Parks and Recreation"], [711,"fshv-ydxk","Seattle Parks and Recreation GIS Map Layer Web Services URL - Spray Park","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Spray Park dataset.","Bhang-Barnett, Hazel","href",null,"url,gis,layer,map,endpoint,park,parks,recreation,seattle,services,spray,feature,web","https://data.seattle.gov/d/fshv-ydxk",null,"04/06/2016 07:59:04 PM","01/29/2025 03:24:30 PM","04/06/2016 07:59:04 PM","false","71","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/41",null,"Weekly","Seattle Parks and Recreation"], [712,"rg6v-fp57","Seattle Parks and Recreation GIS Map Layer Web Services URL - Ash Can","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Ash Can dataset.","Bhang-Barnett, Hazel","href",null,"can,endpoint,feature,gis,layer,map,park,parks,recreation,seattle,services,url. ash,web","https://data.seattle.gov/d/rg6v-fp57",null,"04/05/2016 03:54:16 PM","01/30/2025 01:06:59 AM","04/05/2016 03:54:16 PM","false","93","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/1",null,"Weekly","Seattle Parks and Recreation"], [713,"4rm8-jkpt","Seattle Parks and Recreation GIS Map Layer Web Services URL - Lawn Bowling Outline","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Lawn Bowling Outline dataset.","Bhang-Barnett, Hazel","href",null,"feature,url,layer,park,services,endpoint,bowling,outline,gis,lawn,map,web,parks,recreation,seattle","https://data.seattle.gov/d/4rm8-jkpt",null,"04/05/2016 10:11:43 PM","01/29/2025 04:56:47 AM","04/05/2016 10:11:43 PM","false","64","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/28",null,"Weekly","Seattle Parks and Recreation"], [714,"iibt-32y7","Seattle Municipal Court Criminal Case Filings","Seattle Municipal Court case filings by case category","Gary Ireland","href","Public Safety","court,crime,criminal case,dui cases,dv cases,case filings","https://data.seattle.gov/d/iibt-32y7",null,"06/12/2019 09:08:43 PM","01/29/2025 04:03:08 PM","06/12/2019 09:08:43 PM","false","234","0","Municipal Court",null,null,"Public Domain","City of Seattle",null,null,"Quarterly","Seattle Municipal Court"], [715,"qwyc-5gi5","Seattle Parks and Recreation GIS Map Layer Web Services URL - Wading Pools","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Wading Pools dataset.","Bhang-Barnett, Hazel","href",null,"pools,park,parks,recreation,seattle,services,url,wading,web,endpoint,feature,gis,layer,map","https://data.seattle.gov/d/qwyc-5gi5",null,"04/06/2016 10:02:38 PM","01/29/2025 11:03:02 PM","04/06/2016 10:02:38 PM","false","100","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/53",null,"Weekly","Seattle Parks and Recreation"], [716,"9zu9-fsmi","Seattle Civility Charges","Criminal charges and civil infractions filed at Seattle Municipal Court for civility charges","Gary Ireland","href","Public Safety","court,prostitution,public camping,public intoxication,public urination,sit/lie,crime,criminal trespass,failure to respond,civility","https://data.seattle.gov/d/9zu9-fsmi",null,"06/12/2019 09:18:50 PM","01/29/2025 06:22:16 AM","06/12/2019 09:18:50 PM","false","102","0","Civility Charges",null,null,"Public Domain","City of Seattle",null,null,"Quarterly","Seattle Municipal Court"], [717,"7hsr-mwyt","Seattle Parks and Recreation GIS Map Layer Web Services URL - Public Restroom","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Public Restroom dataset.","Bhang-Barnett, Hazel","href",null,"recreation,public,parks,park,map,layer,gis,feature,web,url,endpoint,station,comfort,seattle,services,restroom","https://data.seattle.gov/d/7hsr-mwyt",null,"04/05/2016 05:13:13 PM","01/29/2025 05:52:40 AM","04/05/2016 05:13:13 PM","false","147","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/9",null,"Weekly","Seattle Parks and Recreation"], [718,"yp2c-z8id","Seattle Parks and Recreation GIS Map Layer Web Services URL - T-ball Field","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations T-ball Field dataset.","Bhang-Barnett, Hazel","href",null,"endpoint,web,url,t-ball,services,seattle,recreation,parks,park,map,layer,gis,field,feature","https://data.seattle.gov/d/yp2c-z8id",null,"04/06/2016 09:28:14 PM","01/30/2025 04:53:42 AM","04/06/2016 09:28:14 PM","false","121","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/45",null,"Weekly","Seattle Parks and Recreation"], [719,"3dpu-v4wv","Seattle Bicycle Infractions","Bicycle infractions issued in Seattle by type and year","Gary Ireland","href","Public Safety","bicycle,bike,bike violation,court,helmet law","https://data.seattle.gov/d/3dpu-v4wv",null,"06/12/2019 09:21:39 PM","01/28/2025 11:46:57 PM","06/12/2019 09:21:39 PM","false","126","0","Public Safety",null,null,"Public Domain","City of Seattle",null,null,"Quarterly","Seattle Municipal Court"], [720,"m5wp-2cu4","Top 10 Criminal Charges Filed at Seattle Municipal Court","Top 10 criminal charges filed at Seattle Municipal Court by year","Gary Ireland","href","Public Safety","cases,court,crime,criminal charges","https://data.seattle.gov/d/m5wp-2cu4",null,"06/12/2019 08:48:45 PM","01/29/2025 04:59:02 PM","06/12/2019 08:48:45 PM","false","143","0","Municipal Court",null,null,"Public Domain","City of Seattle",null,null,"Quarterly","Seattle Municipal Court"], [721,"5kd8-nnqy","Seattle Parks and Recreation GIS Map Layer Web Services URL - Public Artwork In Park","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Public Artwork In Park dataset.","Bhang-Barnett, Hazel","href",null,"artwork,endpoint,feature,gis,in,layer,map,park,parks,public,recreation,seattle,services,url,web","https://data.seattle.gov/d/5kd8-nnqy",null,"04/06/2016 06:21:35 PM","01/29/2025 05:17:05 AM","04/06/2016 06:21:35 PM","false","95","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/34",null,"Weekly","Seattle Parks and Recreation"], [722,"jdhr-5rcs","Seattle Municipal Court Community Resource Center Utilization","Demographics of users of the community resource center at Seattle Municipal Court and the services accessed","Gary Ireland","href","Public Safety","court resource center,court,community resource center,court services","https://data.seattle.gov/d/jdhr-5rcs",null,"06/12/2019 07:08:27 PM","01/29/2025 04:15:32 PM","06/12/2019 07:08:27 PM","false","82","0","Municipal Court",null,null,"Public Domain","City of Seattle",null,null,"Quarterly","Seattle Municipal Court"], [723,"siv8-arad","Seattle Municipal Court Key Performance Indicators","2015 Seattle Municipal Court performance data related to case file integrity, time to resolution and juror satisfaction","Gary Ireland","href","Public Safety","time to resolution,juror satisfaction,juror survey,kpi,case file integrity,court,court performance measures","https://data.seattle.gov/d/siv8-arad",null,"06/12/2019 07:44:58 PM","01/30/2025 03:48:13 AM","06/12/2019 07:44:58 PM","false","70","0","Municipal Court",null,null,"Public Domain","City of Seattle",null,null,"Other","Seattle Municipal Court"], [724,"9emg-czg5","Seattle Parks and Recreation GIS Map Layer Web Services URL - Park Bench","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Park Bench dataset.","Bhang-Barnett, Hazel","href",null,"recreation,endpoint,bench,web,url,services,seattle,parks,park,map,layer,gis,feature","https://data.seattle.gov/d/9emg-czg5",null,"04/06/2016 05:29:07 PM","01/29/2025 06:17:22 AM","04/06/2016 05:29:07 PM","false","105","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/30",null,"Weekly","Seattle Parks and Recreation"], [725,"76p5-4y22","Seattle Parks and Recreation GIS Map Layer Web Services URL - Football Field Outline","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Football Field Outline dataset.","Bhang-Barnett, Hazel","href",null,"layer,football,outline,field,feature,park,parks,recreation,seattle,services,endpoint,url,web,map,gis","https://data.seattle.gov/d/76p5-4y22",null,"04/05/2016 08:07:42 PM","01/29/2025 05:48:59 AM","04/05/2016 08:07:42 PM","false","105","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/17",null,"Weekly","Seattle Parks and Recreation"], [726,"jwma-vxpq","Seattle Mental Health Court Case Events","Seattle Mental Health Court case events by the number of defendants","Gary Ireland","href","Public Safety","court,court case events,mental health,mental health court","https://data.seattle.gov/d/jwma-vxpq",null,"06/12/2019 08:06:12 PM","01/29/2025 04:19:43 PM","06/12/2019 08:06:12 PM","false","214","0","Municipal Court",null,null,"Public Domain","City of Seattle",null,null,"Quarterly","Seattle Municipal Court"], [727,"ijz3-4sbk","Seattle Parks and Recreation GIS Map Layer Web Services URL - Tennis Courts Point","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Tennis Courts Point dataset.","Bhang-Barnett, Hazel","href",null,"layer,courts,map,web,url,endpoint,feature,gis,services,tennis,park,parks,point,recreation,seattle","https://data.seattle.gov/d/ijz3-4sbk",null,"04/06/2016 09:32:11 PM","01/29/2025 04:04:51 PM","04/06/2016 09:32:11 PM","false","100","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/46",null,"Weekly","Seattle Parks and Recreation"], [728,"am92-4wsc","Seattle Parks and Recreation GIS Map Layer Web Services URL - Track Field","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Track Field dataset.","Bhang-Barnett, Hazel","href",null,"track,services,seattle,recreation,parks,park,map,layer,endpoint,fields,gis,feature,web,url","https://data.seattle.gov/d/am92-4wsc",null,"04/06/2016 09:45:44 PM","01/29/2025 06:30:48 AM","04/06/2016 09:45:44 PM","false","101","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/49",null,"Weekly","Seattle Parks and Recreation"], [729,"hjvp-he5z","Seattle Parks and Recreation GIS Map Layer Web Services URL - Community Centers","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Community Centers dataset.","Bhang-Barnett, Hazel","href",null,"center,community,endpoint,feature,gis,layer,map,park,parks,recreation,seattle,services,url,web","https://data.seattle.gov/d/hjvp-he5z",null,"04/05/2016 06:18:18 PM","01/29/2025 03:45:26 PM","04/05/2016 06:18:18 PM","false","153","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/10",null,"Weekly","Seattle Parks and Recreation"], [730,"swxx-5it5","Seattle Parks and Recreation GIS Map Layer Web Services URL - Baseball Field Point","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Baseball Field Point dataset.","Bhang-Barnett, Hazel","href",null,"layer,recreation,point,services,parks,park,map,gis,baseball,endpoint,web,url,feature,field,fields,seattle","https://data.seattle.gov/d/swxx-5it5",null,"04/05/2016 04:03:36 PM","01/30/2025 03:52:30 AM","04/05/2016 04:03:36 PM","false","100","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/2",null,"Weekly","Seattle Parks and Recreation"], [731,"2zjq-ibte","Seattle Parks and Recreation GIS Map Layer Web Services URL - Rugby Field","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Rugby Field dataset.","Bhang-Barnett, Hazel","href",null,"web,url,services,seattle,rugby,recreation,parks,park,map,layer,gis,field,feature,endpoint","https://data.seattle.gov/d/2zjq-ibte",null,"04/06/2016 07:19:26 PM","01/28/2025 04:17:31 AM","04/06/2016 07:19:26 PM","false","94","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/36",null,"Weekly","Seattle Parks and Recreation"], [732,"r3pn-98dr","Seattle Parks and Recreation GIS Map Layer Web Services URL - Park Boundary","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Trails dataset.","Bhang-Barnett, Hazel","href",null,"boundary,endpoint,feature,gis,layer,map,park,parks,recreation,seattle,services,url,web","https://data.seattle.gov/d/r3pn-98dr",null,"04/06/2016 10:10:24 PM","01/29/2025 11:04:41 PM","04/06/2016 10:10:24 PM","false","176","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/55",null,"Weekly","Seattle Parks and Recreation"], [733,"f5g8-sb93","Seattle Parks and Recreation GIS Map Layer Web Services URL - Swimming Beaches","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Swimming Beaches dataset.","Bhang-Barnett, Hazel","href",null,"beaches,endpoint,feature,gis,layer,map,park,parks,recreation,seattle,services,swimming,url,web","https://data.seattle.gov/d/f5g8-sb93",null,"04/06/2016 08:05:17 PM","01/29/2025 07:08:25 AM","04/06/2016 08:05:17 PM","false","90","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/42",null,"Weekly","Seattle Parks and Recreation"], [734,"ubp8-nh6m","Seattle Parks and Recreation GIS Map Layer Web Services URL - Picnic Site","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Picnic Site dataset.","Bhang-Barnett, Hazel","href",null,"map,layer,endpoint,feature,gis,web,url,services,seattle,recreation,parks,park","https://data.seattle.gov/d/ubp8-nh6m",null,"04/06/2016 05:33:12 PM","01/30/2025 04:19:41 AM","04/06/2016 05:33:12 PM","false","78","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/31",null,"Weekly","Seattle Parks and Recreation"], [735,"9gac-x278","Seattle Parks and Recreation GIS Map Layer Web Services URL - Hand Carry Boat Launch","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Hand Carry Boat Launch dataset.","Bhang-Barnett, Hazel","href",null,"endpoint,seattle,recreation,parks,park,map,layer,launch,hand,gis,feature,boat,carry,web,url,services","https://data.seattle.gov/d/9gac-x278",null,"04/05/2016 08:56:17 PM","01/29/2025 06:18:50 AM","04/05/2016 08:56:17 PM","false","119","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/23",null,"Weekly","Seattle Parks and Recreation"], [736,"s9j3-23qt","Seattle Parks and Recreation GIS Map Layer Web Services URL - Basketball Court Point","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Basketball Court Point dataset.","Bhang-Barnett, Hazel","href",null,"seattle,basketball,court,endpoint,feature,gis,layer,map,park,parks,point,recreation,services,url,web","https://data.seattle.gov/d/s9j3-23qt",null,"04/05/2016 04:49:33 PM","01/30/2025 03:42:39 AM","04/05/2016 04:49:33 PM","false","87","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/5",null,"Weekly","Seattle Parks and Recreation"], [737,"7kzh-zp2d","Seattle Parks and Recreation GIS Map Layer Web Services URL - BBQ Grills","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations BBQ Grills dataset.","Bhang-Barnett, Hazel","href",null,"gis,parks,park,map,recreation,layer,grills,seattle,services,url,grill,web,feature,endpoint,bbq","https://data.seattle.gov/d/7kzh-zp2d",null,"04/05/2016 08:50:53 PM","01/29/2025 06:04:13 AM","04/05/2016 08:50:53 PM","false","1538","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/22",null,"Weekly","Seattle Parks and Recreation"], [738,"29jt-zf2m","Seattle Parks and Recreation GIS Map Layer Web Services URL - Dog Off Leash Areas","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Dog Off Leash Areas dataset.","Bhang-Barnett, Hazel","href",null,"url,dog,endpoint,web,feature,gis,layer,leash,map,off,park,parks,recreation,seattle,services,areas","https://data.seattle.gov/d/29jt-zf2m",null,"04/05/2016 06:28:11 PM","01/27/2025 10:56:52 PM","04/05/2016 06:28:11 PM","false","159","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/11",null,"Weekly","Seattle Parks and Recreation"], [739,"7k2d-ujv5","Seattle Parks and Recreation GIS Map Layer Web Services URL - Trails","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Trails dataset.\n\nTRAIL_CLASS \n0 = Unverified \n1 = Verified \n** Created from maintenance data","Bhang-Barnett, Hazel","href",null,"endpoint,feature,gis,layer,map,park,parks,recreation,seattle,services,trails,url,web","https://data.seattle.gov/d/7k2d-ujv5",null,"04/01/2016 08:54:38 PM","01/29/2025 06:02:20 AM","04/01/2016 08:54:38 PM","false","197","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/50",null,"Daily","Seattle Parks and Recreation"], [740,"hjyr-b55r","Seattle Parks and Recreation GIS Map Layer Web Services URL - Public Artwork Outside Park","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Public Artwork Outside Park dataset.","Bhang-Barnett, Hazel","href",null,"artwork,endpoint,feature,gis,layer,map,outside,park,parks,public,recreation,seattle,services,url,web","https://data.seattle.gov/d/hjyr-b55r",null,"04/06/2016 06:26:34 PM","01/29/2025 03:46:31 PM","04/06/2016 06:26:34 PM","false","99","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/35",null,"Weekly","Seattle Parks and Recreation"], [741,"mfv2-bav9","Seattle Parks and Recreation GIS Map Layer Web Services URL - Lawn Bowling Point","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Lawn Bowling Point dataset.","Bhang-Barnett, Hazel","href",null,"park,url,recreation,seattle,point,bowling,endpoint,feature,gis,lawn,layer,map,services,web,parks","https://data.seattle.gov/d/mfv2-bav9",null,"04/05/2016 10:06:19 PM","01/29/2025 06:39:38 PM","04/05/2016 10:06:19 PM","false","79","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/27",null,"Weekly","Seattle Parks and Recreation"], [742,"4m59-qy7e","Seattle Parks and Recreation GIS Map Layer Web Services URL - Horseshoe Pit Point","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Horseshoe Pit Point dataset.","Bhang-Barnett, Hazel","href",null,"park,layer,horseshoe,gis,services,endpoint,url,web,pit,point,parks,recreation,seattle,map,feature","https://data.seattle.gov/d/4m59-qy7e",null,"04/05/2016 09:52:46 PM","01/29/2025 04:52:38 AM","04/05/2016 09:52:46 PM","false","89","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/24",null,"Weekly","Seattle Department of Transportation"], [743,"rjq9-67dc","Seattle Parks and Recreation GIS Map Layer Web Services URL - Bocca Ball Point","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Bocca Ball Point dataset.","Bhang-Barnett, Hazel","href",null,"park,layer,point,ball,parks,bocca,endpoint,feature,gis,recreation,seattle,web,services,url,map","https://data.seattle.gov/d/rjq9-67dc",null,"04/05/2016 05:08:01 PM","01/30/2025 01:08:52 AM","04/05/2016 05:08:01 PM","false","81","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/8",null,"Weekly","Seattle Parks and Recreation"], [744,"kzi4-mxmm","Seattle Parks and Recreation GIS Map Layer Web Services URL - Soccer Field Point","Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations Soccer Field Point dataset.","Bhang-Barnett, Hazel","href",null,"endpoint,feature,field,gis,layer,map,park,parks,point,recreation,seattle,services,soccer,url,web","https://data.seattle.gov/d/kzi4-mxmm",null,"04/06/2016 07:44:59 PM","01/29/2025 04:55:43 PM","04/06/2016 07:44:59 PM","false","90","0","Row",null,null,"Public Domain","Seattle Parks and Recreation","http://gisrevprxy.seattle.gov/arcgis/rest/services/DPR_EXT/ParksExternalWebsite/MapServer/39",null,"Weekly","Seattle Parks and Recreation"], [745,"wbee-yvtp","Illegal Burns Reported to 911 Summer 2024","Provides Seattle Fire Department 911 dispatches. Updated every 5 minutes.","Palay, Claire","map","Public Safety",null,"https://data.seattle.gov/d/wbee-yvtp","https://data.seattle.gov/resource/wbee-yvtp.json","10/02/2024 11:15:23 PM","10/03/2024 05:47:44 PM","09/01/2025 11:11:10 PM","true","357","0",null,null,null,"Public Domain","City of Seattle","http://web5.seattle.gov/MNM/incidentresponse.aspx","kzjm-xkqj","5 minutes","Seattle Fire Department"], [746,"bjit-ebu5","Land Use Permits Map","Land Use permits that are in progress or that have been issued in Seattle.","Callison, Moon","map","Permitting",null,"https://data.seattle.gov/d/bjit-ebu5","https://data.seattle.gov/resource/bjit-ebu5.json","11/12/2021 05:47:30 PM","04/21/2023 08:57:20 PM","09/01/2025 12:17:20 AM","true","30","0",null,null,null,"Public Domain","City of Seattle","http://www.seattle.gov/sdci","ht3q-kdvx","Daily","Seattle Department of Constructions and Inspections"], [747,"qv56-q7w7","Privately Owned Public Spaces Map","Privately Owned Public Spaces are created as a public benefit as part of a private development project, usually in exchange for certain project advantages allowed by City code.","Callison, Moon","map","Community",null,"https://data.seattle.gov/d/qv56-q7w7","https://data.seattle.gov/resource/qv56-q7w7.json","11/12/2021 06:08:08 PM","04/21/2023 09:02:21 PM","12/27/2018 06:37:21 PM","true","16","0",null,null,null,"Public Domain","City of Seattle",null,"ajvs-k55z","Other","Seattle Department of Constructions and Inspections"], [748,"t4kk-v3ip","Rental Property Registration Map","A list of properties that have registered their rental units with the City of Seattle under the Rental Registration and Inspection Ordinance.","Callison, Moon","map","Permitting",null,"https://data.seattle.gov/d/t4kk-v3ip","https://data.seattle.gov/resource/t4kk-v3ip.json","11/12/2021 10:21:14 PM","04/21/2023 09:00:53 PM","09/01/2025 12:16:35 AM","true","36","0",null,null,null,"Public Domain","City of Seattle","http://www.seattle.gov/sdci","j2xh-c7vt","Daily","Seattle Department of Constructions and Inspections"], [749,"n75x-8k4f","Address Search - Combined Data sets","All trade permits in progress or that have been issued in Seattle.","Saf Rabah","map","Permitting",null,"https://data.seattle.gov/d/n75x-8k4f","https://data.seattle.gov/resource/n75x-8k4f.json","11/19/2018 09:48:29 PM","11/19/2018 09:56:39 PM","09/01/2025 12:16:22 AM","true","528","16",null,null,null,"Public Domain","City of Seattle","http://www.seattle.gov/sdci","c87v-5hwh","Daily",null], [750,"wk2i-qsrr","Active and in process Demo permits for non SFR","All building permits issued or in progress within the city of Seattle.","Callison, Moon","map","Permitting",null,"https://data.seattle.gov/d/wk2i-qsrr","https://data.seattle.gov/resource/wk2i-qsrr.json","11/12/2021 06:24:48 PM","04/21/2023 08:56:19 PM","09/01/2025 01:24:41 AM","true","109","0",null,null,null,"Public Domain","City of Seattle","http://www.seattle.gov/sdci","76t5-zqzr","Daily","Seattle Department of Constructions and Inspections"], [751,"8s4s-3hc9","Code Complaints and Violations","All code compliance complaints and violations that SDCI is reviewing and processing.","Callison, Moon","map","Community",null,"https://data.seattle.gov/d/8s4s-3hc9","https://data.seattle.gov/resource/8s4s-3hc9.json","11/12/2021 05:41:58 PM","04/21/2023 09:01:08 PM","09/01/2025 12:37:24 AM","true","116","0",null,null,null,"Public Domain","City of Seattle","http://www.seattle.gov/sdci","ez4a-iug7","Daily","Seattle Department of Constructions and Inspections"], [752,"ch4w-ss5r","Graffiti Reports This Year","This data set contains selected information for Graffiti service requests currently in progress or resolved within the past six years.","Palay, Claire","map","City Administration",null,"https://data.seattle.gov/d/ch4w-ss5r","https://data.seattle.gov/resource/ch4w-ss5r.json","10/02/2024 07:24:32 PM","10/03/2024 05:49:31 PM","09/01/2025 10:44:16 PM","true","17","0",null,null,null,"Public Domain","City of Seattle",null,"jucr-xeky","Daily","Seattle Public Utilities"], [753,"5rc4-5s78","Building Permit Map","All building permits issued or in progress within the city of Seattle.","Callison, Moon","map","Permitting",null,"https://data.seattle.gov/d/5rc4-5s78","https://data.seattle.gov/resource/5rc4-5s78.json","11/12/2021 05:26:13 PM","04/21/2023 08:56:37 PM","09/01/2025 01:24:41 AM","true","118","0",null,null,null,"Public Domain","City of Seattle","http://www.seattle.gov/sdci","76t5-zqzr","Daily","Seattle Department of Constructions and Inspections"], [754,"g2cn-uri2","2024 Seattle Parks and Recreation Financial and Performance Dashboard",null,"Hellier, Justin","story",null,null,"https://data.seattle.gov/stories/s/g2cn-uri2",null,"03/13/2023 10:16:51 PM","08/29/2024 10:54:46 PM","03/11/2025 10:26:12 PM","false","82","0",null,null,null,null,null,null,null,null,null], [755,"4dwc-y2sb","Suggest a Dataset",null,"Palay, Claire","story",null,null,"https://data.seattle.gov/stories/s/4dwc-y2sb",null,"12/07/2020 10:53:57 PM","12/07/2020 11:15:19 PM","12/07/2020 11:15:19 PM","false","338","0",null,null,null,null,null,null,null,null,null], [756,"6ukr-wvup","Terms of Use",null,"Austin Valeske","story",null,null,"https://data.seattle.gov/stories/s/6ukr-wvup",null,"06/13/2017 09:53:29 PM","11/21/2023 05:35:33 PM","03/07/2024 10:42:00 PM","false","90976","0",null,null,null,null,null,null,null,null,null], [757,"feq8-x3ti","Getting Started on the Open Data Portal","This page provides some instructions, tips, and videos to help you perform common tasks on data.seattle.gov. It also contains links to more in-depth help content.","Courtney Smith","story",null,null,"https://data.seattle.gov/stories/s/feq8-x3ti",null,"12/15/2020 05:30:20 PM","12/15/2020 05:47:18 PM","12/16/2020 10:54:11 PM","false","840","0",null,null,null,null,null,null,null,null,null], [758,"rp5b-5e6f","Q3 2024 Open Data Report",null,"Palay, Claire","story",null,null,"https://data.seattle.gov/stories/s/rp5b-5e6f",null,"10/02/2024 08:01:21 PM","10/03/2024 05:12:44 PM","10/10/2024 04:52:36 AM","false","36","0",null,null,null,null,null,null,null,null,null] ]}