Zip Code Boundaries for King, Pierce, Snohomish, Kitsap

King County Zip Code Boundaries

This layer is a component of Zipcodes in King County, WA.

Zipcode boundaries and zipcode labels in King County, WA and adjoining counties of Snohomish, Pierce, Kittitas and Kitsap.

© King County

Zip Code Boundaries for King, Pierce, Snohomish, Kitsap

Zip Code Boundaries for King, Pierce, Snohomish, Kitsap

This layer is a compilation of city jurisdictional information from three counties: King, Pierce and Snohomish, plus the unincorporated areas in each of the three counties. Uses the best available information from each of the 3 counties to produce the composite product for the jurisdictional areas and assumes the areas outside of the jurisdictions to be unincorporated. Updated whenever changes are made to any one of the source data sets. For King County this will be whenever CITY_AREA (parent is CITY_ANNEX) is updated to Spatial Data Warehouse. Pierce and Snohomish updates are shared with King County on quarterly to semi-annual basis. Updates are made so that the King County portion of this composite is synchronous with the information in the master King County jurisdiction layer.

This layer is a component of Administrative Areas.

These administrative layers represent incorporated areas, zip codes for King, Snohomish and Pierce counties and tribal lands.

© King County

Analysis of ‘Zip Codes’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/26022400-e00f-49b8-957f-0170a3097454 on 27 January 2022.

--- Dataset description provided by original source is as follows ---

--- Original source retains full ownership of the source dataset ---

The Affordable Connectivity Program (ACP) is a federal program to help people struggling to afford internet service during the COVID-19 pandemic. The benefit will connect eligible people to jobs, healthcare services, virtual classrooms, and more. The Affordable Connectivity Program federal poverty level eligibility methodology was developed by Rural Local Initiative Support Corporation (LISC).Data Dictionary:Households: total estimated households in King County provided by the Census American Community Survey (ACS) B11016 tableAverage Household Size: average estimated household size in King County provided by the Census American Community Survey (ACS) B25010 tableHousehold Income: estimated household income in King County provided by the Census American Community Survey (ACS) B19001 tableHousehold Income Limit: calculated value that uses average household size and household income developed by Rural Local Initiative Support Corporation (LISC) based on ACP income eligibility guidance ($17,180 + $9,440 * (Average Household Size - 1))Income Eligible Households: total number households in King County at or under the Household Income Limit provided by the Census American Community Survey (ACS) B19001 tablePercent of Income Eligible Households: calculated percentage of eligible households in King County at or under the ACP Household Income LimitHouseholds Enrolled in ACP: total number of households enrolled in ACP reported by the ACPPercent of Households Enrolled in ACP: calculated percentage of households enrolled in ACP reported by the ACPIncome Eligible Households not enrolled in ACP: number of income eligible households not enrolled in ACPPercent of Income Eligible Households not enrolled in ACP: calculated percentage of income eligible households not enrolled in ACPZip Code Rank: indicates the rank by Percent of Income Eligible Households not enrolled in ACP to prioritize outreachClaimed Devices: number of devices claimed by Households using ACP discountInternet Subscription in Household: estimated number of households with an internet subscription in King County provided by the Census American Community Survey (ACS) B28011 tablePercent of Households with an Internet Subscription: calculated calculated percentage of estimated households with an internet subscription divided by total estimated number of households in King County provided by the Census American Community Survey (ACS) B28011 tableDesktop or laptop in Household: estimated number of households with a desktop or laptop in King County provided by the Census American Community Survey (ACS) B28001 tablePercent of Households with a desktop or laptop in Household: calculated percentage of estimated households with a desktop or laptop divided by total estimated number of households in King County provided by the Census American Community Survey (ACS) B28001 tableSmartphone in Household: estimated number of households with a smartphone and no other computing device in King County provided by the Census American Community Survey (ACS) B28001 tablePercent of Households with a smartphone in Household: calculated percentage of estimated households with a smartphone and no other computing device divided by total estimated number of households in King County provided by the Census American Community Survey (ACS) B28001 tableTablet in Household: estimated number of households with a tablet or other portable wireless computer and no other computing device in King County provided by the Census American Community Survey (ACS) B28001 tablePercent of Households with a tablet in Household: calculated percentage of estimated with a tablet or other portable wireless computer and no other computing device divided by total estimated number of households in King County provided by the Census American Community Survey (ACS) B28001 tableHouseholds with Public Assistance Income: estimated number of households with public assistance income in King County provided by the Census American Community Survey (ACS) B19057 tablePercent of Households with Public Assistance Income: calculated percentage of estimated households with public assistance income divided by total estimated number of households in King County provided by the Census American Community Survey (ACS) B19057 tableHouseholds who received Food Stamps/SNAP: estimated number of households who received Food Stamps/SNAP in King County provided by the Census American Community Survey (ACS) B22010 tablePercent of Households who received Food Stamps/SNAP: calculated percentage of estimated households who received Food Stamps/SNAP divided by total estimated number of households in King County provided by the Census American Community Survey (ACS) B22010 tablePreferred City: city associated with a zip codeData Sources: Affordable Connectivity Program (ACP) Enrollments and Claims Tracker - Universal Service Administrative Company (usac.org)Census American Community Survey (ACS): 2017-2021 5-Year EstimatesThis data is reported at the Zip Code for all enrolled households in King County.

Health reporting area (HRA) and zip code-level indicators for monitoring the impact of the Affordable Care Act in King County, WA. Topic areas range from access to care to population health. Imported to Socrata to allow data to be pulled as JSON from SODA to feed into Leaflet.js-based maps on an external site.

This is the subset of parcels that meet all three of the following “specified criteria” in the King County Code 26.12.003J definition of “Opportunity Areas.” Areas within King County that: (a) “are located in a census tract in which the median household income is in the lowest one-third for median household income for census tracts in King County;” (b) “are located in a ZIP Code in which hospitalization rates for asthma, diabetes, and heart disease are in the highest one-third for ZIP Codes in King County;” and (c) “are within the Urban Growth Boundary and do not have a publicly owned and accessible park or open space within one-quarter mile of a residence, or are outside the Urban Growth Boundary and do not have a publicly owned and accessible park or open space within two miles of a residence.” (King County Code 26.12.003J)

This dataset provides the information of all the carriers providing Lifeline service, their customer service number, service type, state, and URL for a particular zip code. The purpose of this dataset is to provide the most accurate list of carriers providing service in a particular area within a given state, through the use of zip codes. To ensure that this data is up-to-date and accurate, it is refreshed periodically to add new carriers and the corresponding zip codes of their designated service areas, update the zip codes for existing carriers, and remove zip codes for carriers that have relinquished their ETC designation. In the event that a user enters a zip code that does not return any service provider(s), a complete listing of the state in which the zip code is found will be returned with the recommendation that the consumer confirm the availability of Lifeline in their chosen zip code with a service provider from that state.

This dataset has been filtered for carriers identified with Washington state.

This is the subset of parcels that meet all three of the following "specified criteria" in the King County code 26.12.003J definition of "Opportunity Areas". Areas within King County that:(a) "are located in a census tract in which the median household income is in the lowest one-third for median household income for census tracts in King County;(b) "are located in a ZIP code in which hospitalization rates for asthma, diabetes, and heart disease are in the highest one-third for ZIP codes in King County; and(c) "are within the Urban Growth Boundary and do not have a publicly owned and accessible park or open space within one-quarter mile of a residence, or are outside the Urban Growth Boundary and do not have a publicly owned and accessible park or open space within two miles of a residence." (King County Code 26.12.003J)

Background Rural U.S. communities are at risk from COVID-19 due to advanced age and limited access to acute care. Recognizing this, the Vashon Medical Reserve Corps (VMRC) in King County, Washington, implemented an all-volunteer, community-based COVID-19 response program. This program integrated public engagement, SARS-CoV-2 testing, contact tracing, vaccination, and material community support, and was associated with the lowest cumulative COVID-19 case rate in King County. This study aimed to investigate the contributions of demographics, geography and public health interventions to Vashon’s low COVID-19 rates. Methods This observational cross-sectional study compares cumulative COVID-19 rates and success of public health interventions from February 2020 through November 2021 for Vashon Island with King County (including metropolitan Seattle) and Whidbey Island, located ~50 km north of Vashon. To evaluate the role of demography, we developed multiple linear regression models of COVID-19 rates using metrics of age, race/ethnicity, wealth and educational attainment across 77 King County zip codes. To investigate the role of remote geography we expanded the regression models to include North, Central and South Whidbey, similarly remote island communities with varying demographic features. To evaluate the effectiveness of VMRC’s community-based public health measures, we directly compared Vashon’s success of vaccination and contact tracing with that of King County and South Whidbey, the Whidbey community most similar to Vashon. Results Vashon’s cumulative COVID-19 case rate was 29% that of King County overall (22.2 vs 76.8 cases/K). A multiple linear regression model based on King County demographics found educational attainment to be a major correlate of COVID-19 rates, and Vashon’s cumulative case rate was just 38% of predicted (p<.05), so demographics alone do not explain Vashon’s low COVID-19 case rate. Inclusion of Whidbey communities in the model identified a major effect of remote geography (-49 cases/K, p<.001), such that observed COVID-19 rates for all remote communities fell within the model’s 95% prediction interval. VMRC’s vaccination effort was highly effective, reaching a vaccination rate of 1500 doses/K four months before South Whidbey and King County and maintaining a cumulative vaccination rate 200 doses/K higher throughout the latter half of 2021 (p<.001). Including vaccination rates in the model reduced the effect of remote geography to -41 cases/K (p<.001). VMRC case investigation was also highly effective, interviewing 96% of referred cases in an average of 1.7 days compared with 69% in 3.7 days for Washington Department of Health investigating South Whidbey cases and 80% in 3.4 days for Public Health–Seattle & King County (both p<0.001). VMRC’s public health interventions were associated with a 30% lower case rate (p<0.001) and 55% lower hospitalization rate (p=0.056) than South Whidbey. Conclusion While the overall magnitude of the pre-Omicron COVID-19 pandemic in rural and urban U.S. communities was similar, we show that island communities in the Puget Sound region were substantially protected from COVID-19 by their geography. We further show that a volunteer community-based COVID-19 response program was highly effective in the Vashon community, augmenting the protective effect of geography. We suggest that Medical Reserve Corps should be an important element of future pandemic planning. Methods The study period extended from the pandemic onset in February 2020 through November 2021. Daily COVID-19 cases, hospitalizations, deaths and test numbers for King County as a whole and by zip code were downloaded from the King County COVID-19 dashboard (Feb 22, 2022 update). Population data for King County and Vashon are from the April 2020 US Census. Zip code level population data are the average of two zip code tabulation area estimates from the WA Office of Financial Management and Cubit (a commercial data vendor providing access to US Census information). The Asset Limited, Income Constrained, and Employed (ALICE) metric, a measure of the working poor, was obtained from United Way.

The Emergency Broadband Benefit (EBB) is a federal program to help people struggling to afford internet service during the COVID-19 pandemic. The benefit will connect eligible people to jobs, healthcare services, virtual classrooms, and more.This data is reported at the Zip Code for all enrolled households in King County.Data Source: Emergency Broadband Benefit Program Enrollments and Claims Tracker - Universal Service Administrative Company (usac.org)

This feature dataset contains a snapshot of all King County parcels from September 2020, with all of the "additional relevant criteria" data used in Method 2 of the LCI opportunity area determination described below.There are two methods by which a property may qualify as being in an opportunity area:Method 1. Property meets all three of the following "specified criteria" in King County code 26.12.003.(a) Areas "located in a census tract in which the median household income is in the lowest one-third for median household income for census tracts in King County; (b) "located in a ZIP code in which hospitalization rates for asthma, diabetes, and heart disease are in the highest one-third for ZIP codes in King County; and (c) "are within the Urban Growth Boundary and do not have a publicly owned and accessible park or open space within one-quarter mile of a residence, or are outside the Urban Growth Boundary and do not have a publicly owned and accessible park or open space within two miles of a residence." (King County Code 26.12.003)Data results related to Method 1 are shown in the LCI Opportunity Areas dataset on the King County GIS Open Data site. In this dataset, the parcels where the "CriteriaAllYN" column is equal to "Y" also represents those parcels.Method 2. If a property does not qualify under Method #1, a project may qualify if: "the project proponent or proponents can demonstrate, and the advisory committee determines, that residents living in the area, or populations the project is intended to serve, disproportionately experience limited access to public open spaces and experience demonstrated hardships including, but not limited to, low income, poor health and social and environmental factors that reflect a lack of one or more conditions for a fair and just society as defined as "determinants of equity" in KCC 2.10.210." (King County Code 26.12.003)Conservation Futures (CFT) values the use of multiple sources of data and information to demonstrate that a property is in an opportunity area. Applicants are welcome to provide additional criteria and data sources not identified in this report to demonstrate that a property is in an opportunity area. These sources are provided in the document here: Understanding the Data Report.

The Affordable Connectivity Program (ACP) is a federal program to help people struggling to afford internet service during the COVID-19 pandemic. The benefit will connect eligible people to jobs, healthcare services, virtual classrooms, and more.This data is reported at the Zip Code for all enrolled households in King County.Data Source: Affordable Connectivity Program (ACP) Enrollments and Claims Tracker - Universal Service Administrative Company (usac.org)

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The Address Ranges Feature Shapefile (ADDRFEAT.dbf) contains the geospatial edge geometry and attributes of all unsuppressed address ranges for a county or county equivalent area. The term "address range" refers to the collection of all possible structure numbers from the first structure number to the last structure number and all numbers of a specified parity in between along an edge side relative to the direction in which the edge is coded. Single-address address ranges have been suppressed to maintain the confidentiality of the addresses they describe. Multiple coincident address range feature edge records are represented in the shapefile if more than one left or right address ranges are associated to the edge. The ADDRFEAT shapefile contains a record for each address range to street name combination. Address range associated to more than one street name are also represented by multiple coincident address range feature edge records. Note that the ADDRFEAT shapefile includes all unsuppressed address ranges compared to the All Lines Shapefile (EDGES.shp) which only includes the most inclusive address range associated with each side of a street edge. The TIGER/Line shapefile contain potential address ranges, not individual addresses. The address ranges in the TIGER/Line Files are potential ranges that include the full range of possible structure numbers even though the actual structures may not exist.

In 2015, the City began implementing a master Community Workforce Agreement (CWA). The agreement prioritizes the hiring of residents from economically distressed neighborhoods of Seattle and King County, women, and people of color on City construction projects over $5 million. This data set reflects the percentage of annual priority hire hours worked by residents living in economically distressed ZIP codes.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The Address Range / Feature Name Relationship File (ADDRFN.dbf) contains a record for each address range / linear feature name relationship. The purpose of this relationship file is to identify all street names associated with each address range. An edge can have several feature names; an address range located on an edge can be associated with one or any combination of the available feature names (an address range can be linked to multiple feature names). The address range is identified by the address range identifier (ARID) attribute that can be used to link to the Address Ranges Relationship File (ADDR.dbf). The linear feature name is identified by the linear feature identifier (LINEARID) attribute that can be used to link to the Feature Names Relationship File (FEATNAMES.dbf).

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The Address Ranges Feature Shapefile (ADDRFEAT.dbf) contains the geospatial edge geometry and attributes of all unsuppressed address ranges for a county or county equivalent area. The term 'address range 'refers to the collection of all possible structure numbers from the first structure number to the last structure number and all numbers of a specified parity in between along an edge side relative to the direction in which the edge is coded. Single-address address ranges have been suppressed to maintain the confidentiality of the addresses they describe. Multiple coincident address range feature edge records are represented in the shapefile if more than one left or right address ranges are associated to the edge. The ADDRFEAT shapefile contains a record for each address range to street name combination. Address range associated to more than one street name are also represented by multiple coincident address range feature edge records. Note that the ADDRFEAT shapefile includes all unsuppressed address ranges compared to the All Lines Shapefile (EDGES.shp) which only includes the most inclusive address range associated with each side of a street edge. The TIGER/Line shapefile contain potential address ranges, not individual addresses. The address ranges in the TIGER/Line Files are potential ranges that include the full range of possible structure numbers even though the actual structures may not exist.