This dataset delineates the boundaries of zip codes in the Bellevue region, assisting with geographic organization and location identification within the area.

Dataset

This dataset was created by Rahim Rasool

Contents

This feature layer displays Affordable Connectivity Plan (ACP) eligibility data provided by USAC and the Census Bureau's American Community Survey 5 Year Tables for 2017-2021. The data is shown for 2020 U.S Census Boundaries (2022 Dataset) clipped to WA State.

This layer originated from ZCTAs and has been modified in places by Grant County GIS staff based on input from local US Postal Service staff and landowners.ZIP Code Tabulation Areas (ZCTAs™) are a statistical geographic entity produced by the U.S. Census Bureau for tabulating summary statistics from the 2010 Census, first developed for Census 2000. This entity was developed to overcome the difficulties in precisely defining the land area covered by each ZIP Code™, which is necessary in order to accurately tabulate census data for that area.ZCTAs are generalized area representations of U.S. Postal Service (USPS) ZIP Code service areas. They represent the most frequently occurring five-digit ZIP Code found in a given area. Simply put, each ZCTA is built by aggregating 2010 Census blocks, whose addresses use a given ZIP Code. Each resulting ZCTA is then assigned the most frequently occurring ZIP Code as its ZCTA code. For more information, please refer to the ZCTA Frequently Asked Questions (FAQ).

Zip Codes (5-digit). The dataset polygons represent location and attributes of zip codes, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies. Zip Codes were identified from public records (US Postal Service) and created selecting arcs from the street centerlines and vector property map.

Map used by the Washington State Broadband Office to display internet subscriptions provided by the Affordable Connectivity Program (ACP).

Map used by the Washington State Broadband Office to display enrollment criteria and internet subscription information for the Affordable Connectivity Program (ACP).

Zipcode polygons throughout Pierce County. Data was acquired from Zip+4 Address Information System, and then adjusted to ensure parcels fell in their correct zipcode. This data should be cross-referenced with the USPS for the most current street and site address changes. Please see metadata for additional information (https://matterhorn.piercecountywa.gov/GISmetadata/pdbis_zip_codes.html). Any data download constitutes acceptance of the Terms of Use (https://matterhorn.piercecountywa.gov/Disclaimer/PierceCountyGISDataTermsofUse.pdf). Terms of Use/Custom License: Please see provided hyperlinks for metadata and Terms of Use.

Zip Code Boundaries for King, Pierce, Snohomish, Kitsap

Demographics, population, housing, income, education, schools, and geography for ZIP Code 19048 (Fort Washington, PA). Interactive charts load automatically as you scroll for improved performance.

Census tracts with 4, 5, 6 and 10 tier classifications. We'll be adding 2020 data when its available from the USDA or the Census.From Asnake Hailu,The schemes shared in the RUCAGuide.pdf are DOH modified layers, prepared merely for epidemiological purposes [I.e., to delineate geography for a comprehensive epidemiologic assessment, describing rural-urban differences in demographics, health outcomes, risk factors, access to services, and the like.] Those are not as such rural/urban designation tools for census block areas, nor for any of the other geography categories. The files with the DOH modified layers are available at https://doh.wa.gov/public-health-healthcare-providers/rural-health/data-maps-and-other-resources under the sub-county level: Zip Code and Census Tract sub-heading.Please note: those files are essentially a decade old. We were anticipating to update our core products that are on our website, if and when the Federal Office of Rural Health and Policy (FORHP) produces a newer version of RUCA codes based on census 2020. The FORHP customarily contracts with a university for that task. We are three years away from 2020, except there is no update posted on the webpage I am familiar to get the original RUCA delineations. Here is a path where I go to check for the newer version: https://www.ers.usda.gov/data-products/rural-urban-commuting-area-codes/

Dataset Description: Washington Grocery Store Locations

This dataset contains detailed information about the locations and operational status of grocery stores in Washington, spanning multiple years. It includes both spatial and temporal data, offering a comprehensive view of how grocery stores are distributed and have evolved over time. Below is a breakdown of the columns included in the dataset:

1. X, Y: Geographic coordinates (latitude and longitude) representing the store's location in the dataset.

2. STORENAME: The name of the grocery store.

3. ADDRESS: The physical address of the grocery store.

4. ZIPCODE: The ZIP code of the store’s location.

5. PHONE: The contact phone number for the store.

6. WARD: The local government ward in which the store is located.

7. SSL: A unique identifier or code related to the store, possibly referring to specific data collection attributes.

8. NOTES: Additional comments or information about the store.

9. PRESENT: Temporal indicators showing the presence (likely open or closed) of each store across various years. These columns provide insights into the longevity and temporal trends of grocery store operations.

10. GIS_ID: A unique identifier for geographic information system (GIS) data.

11. XCOORD, YCOORD: Coordinates (likely more specific) used for spatial data analysis, providing the exact location of the store.

12. MAR_ID: A unique identifier for marketing or regional analysis purposes.

13. GLOBALID: A global unique identifier for the store data.

14. CREATOR: The individual or system that created the data entry.

15. CREATED: Timestamp showing when the data entry was created.

16. EDITOR: The individual or system that edited the data entry.

17. EDITED: Timestamp showing when the data entry was last edited.

18. SE_ANNO_CAD_DATA: Specific annotation or data related to CAD (computer-aided design), possibly linked to store location details.

19. OBJECTID: A unique identifier for the object or record within the dataset.

Insights We Can Extract:

• Geographic Distribution: By analyzing the X and Y coordinates along with ZIP codes and wards, we can identify where grocery stores are concentrated and map areas with high or low store density.
• Temporal Trends: The data in the "PRESENT" columns helps us track the opening and closure patterns of grocery stores over time, providing insights into market trends and store longevity.
• Service Gaps: We can identify areas with no grocery stores, possibly indicating food deserts or underserved communities, by mapping the stores and comparing coverage across ZIP codes and wards.
• Operational Trends: By analyzing the temporal data and comparing store turnover, we can uncover patterns in the longevity or turnover of grocery stores.
• Urban Planning and Accessibility: This dataset could help us assess whether the location of grocery stores aligns with urban infrastructure like transportation routes or population density, which could inform policy decisions to improve grocery access.

This dataset is invaluable for urban planners, policymakers, and business stakeholders looking to improve food access and urban infrastructure.

Thurston County, WA, US Post Office Box assigned zip codes. The purpose of this data is as a general reference only and actual mailing zip codes should be obtained from the US Postal Service. This layer was originally created using US Post Office Data. These points are associated with the US Post Office Box locations that house a unique Zip Code.This layer should be used in conjunction with the Zip Codes layer which is used to show zip code area boundaries associated with addressing and Thurston County Assessor’s Parcels. For example in smaller jurisdictions, like Bucoda, that rely on a post office box rather than rural delivery, the zip code point will reflect the unique zip code while the surrounding area will reflect the greater rural zip code boundaries and not the localized PO Box zip code.

These data represent Zip Codes in Vancouver, WA. Urban tree canopy (UTC) and possible planting area (PPA) metrics have been calculated for Zip Codes within the study area.

Statewide, DCYF estimates that families of about 305,000 children age B-5 not yet in school need child care. Only about 34% of those children are enrolled in licensed child care or preschool. The percent of need met for child care and preschool for young children varies widely across the state. The maps below illustrate the estimated percent of child care need for these families currently met by licensed child care and preschool. To capture the variability of met need across the state, maps are available by County, Legislative District, and Zip Code

Demographics, population, housing, income, education, schools, and geography for ZIP Code 98082 (Mill Creek, WA). Interactive charts load automatically as you scroll for improved performance.

This layer shows the market potential for an adult to regularly eat organic food in the U.S. in 2016 in a multiscale map (by country, state, county, ZIP Code, tract, and block group). The pop-up is configured to include the following information for each geography level:Market Potential Index and count of adults expected to regularly eat organic foodMarket Potential Index and count of adults expected to follow various dietary habitsEsri's 2016 Market Potential (MPI) data measures the likely demand for a product or service in an area. The database includes an expected number of consumers and a Market Potential Index (MPI) for each product or service. An MPI compares the demand for a specific product or service in an area with the national demand for that product or service. The MPI values at the US level are 100, representing average demand for the country. A value of more than 100 represents higher demand than the national average, and a value of less than 100 represents lower demand than the national average. For example, an index of 120 implies that demand in the area is 20 percent higher than the US average; an index of 80 implies that demand is 20 percent lower than the US average. See Market Potential database to view the methodology statement and complete variable list.Esri's Psychographics & Advertising Data Collection includes measurements of environmental concern, buying habits such as propensity to buy American products, likelihood to have healthy habits, and advertisement awareness. The database includes an expected number of consumers and a Market Potential Index (MPI) for each product or service. See the United States Data Browser to view complete variable lists for each Esri demographics collection.Additional Esri Resources:U.S. 2016/2021 Esri Updated DemographicsEssential demographic vocabularyEsri's arcgis.com demographic map layers

Demographics, population, housing, income, education, schools, and geography for ZIP Code 98133 (Seattle, WA). Interactive charts load automatically as you scroll for improved performance.

Demographics, population, housing, income, education, schools, and geography for ZIP Code 37615 (Johnson City, TN). Interactive charts load automatically as you scroll for improved performance.

Demographics, population, housing, income, education, schools, and geography for ZIP Code 98013 (Burton, WA). Interactive charts load automatically as you scroll for improved performance.