This dataset consists of data from the United States Postal Service (USPS). It entails all of the five digit zip codes in the 20-county metro Atlanta region which are assigned by USPS. The data is part of the administrative area layer, a group layer containing the various geographic divisions in Atlanta. It follows ESRI's Local Government Information Model. For more information about the local government model visit "What is the Local Government Information Model."Five Digit System: The first digit designates a geographic region. The second and third digits designate a concentrated population, e.g. city or town. The fourth and fifth digits designate local post offices or postal zones. For a deep dive into the history of zip codes see The United States Postal Service an American History. Area Covered: Atlanta, GAKey Attributes:Name: Five digit codeSHAPE_Length: The length of each zip code.SHAPE_Area: The area of each zip codeSource: USPS DateUpdate Frequency: When known boundary updates occur.Source:Department of City Planning GIS55 Trinity Ave SWAtlanta, GA 30303gis-team@atlantaga.govUploaded on COA Portal: Aug 20, 2021Metadata Edited: Oct 2021

• Context I am greatly inspired with this dataset containing geo spatial details for each zip code and contains the total wages for each area.This gave me opportunity to create a data visualisation in Tableau using HexBin chart which is added as a Kernel to this dataset.

• Content

  • About the data: 81,831 rows of data. All 41,891 active zipcodes + 634 decommisioned zipcodes from the recent past. All 80673 active Primary(41885), Acceptable(13988), and Not Acceptable(24800) placenames. Some additonal placenames for decommisioned codes. 29,971 Standard, 9465 PO BOX, 2437 Unique, and 649 Military codes.

• 50 States + 361 AA Military

• Americas 38 AE Military

• Europe 164 AP Military

• Pacific 1 AS American Samoa 290 DC Washinton DC 4 FM Federated States Micronesia 13 GU Guam 2 MH Marshall Islands 3 MP Northern Mariana Islands 176 PR Puerto Rico 2 PW Palau 16 VI Virgin Islands

• Name Type Description

• Zipcode Text 5 digit Zipcode or military postal code(FPO/APO)

• ZipCodeType Text Standard, PO BOX Only, Unique, Military(implies APO or FPO)

• City Text USPS offical city name(s)

• State Text USPS offical state, territory, or quasi-state (AA, AE, AP) abbreviation code

• LocationType Text Primary, Acceptable,Not Acceptable

• Lat Double Decimal Latitude, if available

• Long Double Decimal Longitude, if available

• Location Text Standard Display (eg Phoenix, AZ ; Pago Pago, AS ; Melbourne, AU )

• Decommissioned Text If Primary location, Yes implies historical Zipcode, No Implies current Zipcode; If not Primary, Yes implies Historical Placename

• TaxReturnsFiled Long Integer Number of Individual Tax Returns Filed in 2008

• EstimatedPopulation Long Integer Tax returns filed + Married filing jointly + Dependents

• TotalWages Long Integer Total of Wages Salaries and Tips

  • Source: http://federalgovernmentzipcodes.us/

  • Current zipcodes, placenames, zipcode type(Standard, PO, Unique, Military), placename type (Primary, Acceptable, Not Acceptable)

• : USPS Military place names (base or ship name)

• : MPSA 2008 Election Ballot information Tax returns filed, estimated population, total wages: IRS 2008 Latitude and Longitude; National Weather Service supplemented by Google Earth and Maps and occasionally other sources Decommissioned zip codes, Our old database--usually quality sources, but not verifiable.

• Acknowledgements

  Other Sources of zipcode information:

• Placenames (Cities, towns, geographic features) can be found at US Geological Survey GNIS Dataset The IRS has additional data fields for 2008 and is reviewing their publication procedures for later years.

  see http://www.irs.gov/taxstats/indtaxstats/article/0,,id=96947,00.html

• The Census publishes data, but they use Zipcode Tabulation Areas (ZCTAs) which

• 1) have changed areas between the 2000 census and the 2010 census

• 2) do not map well to USPS zipcodes well. If needed http://www.census.gov/geo/ZCTA/zcta.html Social Security recipients by zipcode http://www.ssa.gov/policy/docs/statcomps/oasdi_zip/ For economic researchers and those who want tons of background on data sources by zipcode, University of Missouri OSEDA project

  • Free Zipcode Database (8.7 MB) Updated 1/22/2012 All Locations (Multiple locations for some zipcodes)

  Inspiration I am hoping that people in the right government agencies/authorities would be able to utilize this data to focus on

  community developments where it needs immediate attention.

Abstract

A crosswalk dataset matching US ZIP codes to corresponding county codes

Documentation

The denominators used to calculate the address ratios are the ZIP code totals. When a ZIP is split by any of the other geographies, that ZIP code is duplicated in the crosswalk file.

**Example: **ZIP code 03870 is split by two different Census tracts, 33015066000 and 33015071000, which appear in the tract column. The ratio of residential addresses in the first ZIP-Tract record to the total number of residential addresses in the ZIP code is .0042 (.42%). The remaining residential addresses in that ZIP (99.58%) fall into the second ZIP-Tract record.

So, for example, if one wanted to allocate data from ZIP code 03870 to each Census tract located in that ZIP code, one would multiply the number of observations in the ZIP code by the residential ratio for each tract associated with that ZIP code.

https://redivis.com/fileUploads/4ecb405e-f533-4a5b-8286-11e56bb93368%3E" alt="">(Note that the sum of each ratio column for each distinct ZIP code may not always equal 1.00 (or 100%) due to rounding issues.)

County definition

In the United States, a county is an administrative or political subdivision of a state that consists of a geographic region with specific boundaries and usually some level of governmental authority. The term "county" is used in 48 U.S. states, while Louisiana and Alaska have functionally equivalent subdivisions called parishes and boroughs, respectively.

Further reading

The following article demonstrates how to more effectively use the U.S. Department of Housing and Urban Development (HUD) United States Postal Service ZIP Code Crosswalk Files when working with disparate geographies.

Wilson, Ron and Din, Alexander, 2018. “Understanding and Enhancing the U.S. Department of Housing and Urban Development’s ZIP Code Crosswalk Files,” Cityscape: A Journal of Policy Development and Research, Volume 20 Number 2, 277 – 294. URL: https://www.huduser.gov/portal/periodicals/cityscpe/vol20num2/ch16.pdf

Contact information

Questions regarding these crosswalk files can be directed to Alex Din with the subject line HUD-Crosswalks.

Acknowledgement

This dataset is taken from the U.S. Department of Housing and Urban Development (HUD) office: https://www.huduser.gov/portal/datasets/usps_crosswalk.html#codebook

U.S. ZIP Code Areas (Five-Digit) represents five-digit ZIP Code areas used by the U.S. Postal Service to deliver mail more effectively. The first digit of a five-digit ZIP Code divides the United States into 10 large groups of states numbered from 0 in the Northeast to 9 in the far West. Within these areas, each state is divided into an average of 10 smaller geographical areas, identified by the second and third digits. These digits, in conjunction with the first digit, represent a sectional center facility or a mail processing facility area. The fourth and fifth digits identify a post office, station, branch or local delivery area.

List of United States Postal Service (USPS) Zone Improvement Plan (ZIP) Codes found within or partially within the borders of the City of Detroit.

Frontier and Remote Area (FAR) codes provide a statistically-based, nationally-consistent, and adjustable definition of territory in the U.S. characterized by low population density and high geographic remoteness.

To assist in providing policy-relevant information about conditions in sparsely settled, remote areas of the U.S. to public officials, researchers, and the general public, ERS has developed ZIP-code-level frontier and remote (FAR) area codes. The aim is not to provide a single definition. Instead, it is to meet the demand for a delineation that is both geographically detailed and adjustable within reasonable ranges, in order to be usefully applied in diverse research and policy contexts. This initial set, based on urban-rural data from the 2000 decennial census, provides four separate FAR definition levels, ranging from one that is relatively inclusive (18 million FAR residents) to one that is more restrictive (4.8 million FAR residents).This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: State and ZIP code level tables For complete information, please visit https://data.gov.

"This file provides digital data for all 1990 precensus map features, the associated 1990 census initial tabulation geographic area codes, such as 1990 census block numbers, and the codes for the Jan. 1, 1990 political areas on both sides of each line segment of every mapped feature. The data contain basic information on 1990 census geographic area codes, feature names, and address ranges in the form of ten ""Record Types."" The Census Bureau added four new record types in response to some us er and vendor requests to provide point and area information contained in the Census Bureau's Precensus Map sheets that is not contained in the Precensus TIGER/Line files. The record types include: Basic data records (individual Feature Segment Records), shape coordinate points (feature shape records), additional decennial census geographic area codes, index to alternate feature names, feature name list, additional address range and zip code data, landmark features, area landmarks, area boundaries, and polygon location. Each segment record contains appropriate decennial census and FIPS geographic area codes, latitude/longitude coordinates, the name of the feature (including the relevant census feature class code identifying the segment by category), and, for areas formerly covered by the GBF/DIME-Files, the address ranges and ZIP code associated with those address ranges for each side of street segments. For other areas, the TIGER?Line files do not contain address ranges or ZIP Codes. The shape records provide coordinate values that describe the shape of those feature segments that are not straight."

OVERVIEW In March 2019, Poverty Solutions released “AUTO INSURANCE AND ECONOMIC MOBILITY IN MICHIGAN: A CYCLE OF POVERTY”, a policy brief detailing the sources of Michigan’s highest-in-the-nation auto insurance rates and providing policy options for policymaker seeking to enact changes that would reduce overall rates and reduce rate disparities. The report pulled data from The Zebra, an auto insurance comparison marketplace, to show the distribution of rates by ZIP code and to calculate a cost burden for each ZIP code. DATAThe Zebra – provides ZIP code level data on average auto insurance rates from 2011-2017. The data represents an average of market prices facing a consistent base consumer profile. According to the Zebra, “Analysis used a consistent base profile for the insured driver: a 30-year-old single male driving a 2014 Honda Accord EX with a good driving history and coverage limits of $50,000 bodily injury liability per person/$100,000 bodily injury liability per accident/$50,000 property damage liability per accident with a $500 deductible for comprehensive and collision”.[1] For more information on The Zebra’s data collection methodology go to www.thezebra.com.Click here for metadata (descriptions of the fields).

An application used by the public to visualize key coronavirus case based on location.Direct link:https://moco.maps.arcgis.com/apps/opsdashboard/index.html#/0bff6bf33adb4d0f8e77f10b41cd6785Short link: https://gis.mctx.org/covidimpactStatistics include:Counts of total cases, active cases and deaths.History charts of total cases, active cases and deaths.Map showing case count per zip code.Cases per Zip Code chart.Cases per Jurisdiction chart.

This issue describes in detail the health region limits as of December 2007 and their correspondence with the 2006 and 2001 Census geography. Health regions are defined by the provinces and represent administrative areas or regions of interest to health authorities. This product contains correspondence files (linking health regions to census geographic codes) and digital boundary files. User documentation provides an overview of health regions, sources, methods, limitations and product description (file format and layout). In addition to the geographic files, this product also includes 2006 Census data (basic profile) for health regions. For current Health Regions data, refer to Statistics Canada.

The catch basin data is collected by SFDPW Hydraulics Engineering and SFPUC Wastewater Enterprise, Collection System Division engineers, drafters and operators. The data is collected from sewer reference and construction documents and field surveys. You can learn more about how the City's wastewater collection system works here: http://www.sfwater.org/index.aspx?page=399Data pushed to ArcGIS Online on November 10, 2025 at 3:20 AM by SFGIS.Data from: https://data.sfgov.org/d/jtgq-b7c5Description of dataset columns:

 DPW_Node_ID



 PUC_Maximo_Asset_ID
 NaN


 System_Use_Code
 NaN


 System_Use
 NaN


 Drain_Type
 NaN


 POINT_X
 NaN


 POINT_Y
 NaN


 PRIORITY_STATUS
 NaN


 Location



 analysis_neighborhood



 supervisor_district



 data_as_of
 Timestamp the data was updated in the source system


 data_loaded_at
 Timestamp the data was loaded to the open data portal


 Neighborhoods_from_fyvs_ahh9 2
 This column was automatically created in order to record in what polygon from the dataset 'Neighborhoods_from_fyvs_ahh9' (f58d-8dbm) the point in column 'location' is located. This enables the creation of region maps (choropleths) in the visualization canvas and data lens.


 (old) SF Find Neighborhoods 2
 This column was automatically created in order to record in what polygon from the dataset '(old) SF Find Neighborhoods' (vtsz-7cme) the point in column 'location' is located. This enables the creation of region maps (choropleths) in the visualization canvas and data lens.


 Supervisorial_Districts_Waterline_data_from_7pkg_wer3 2
 This column was automatically created in order to record in what polygon from the dataset 'Supervisorial_Districts_Waterline_data_from_7pkg_wer3' (uruc-drv6) the point in column 'location' is located. This enables the creation of region maps (choropleths) in the visualization canvas and data lens.


 Neighborhoods_from_6ia5_2f8k 2
 This column was automatically created in order to record in what polygon from the dataset 'Neighborhoods_from_6ia5_2f8k' (6qbp-sg9q) the point in column 'location' is located. This enables the creation of region maps (choropleths) in the visualization canvas and data lens.


 Supervisor Districts 2
 This column was automatically created in order to record in what polygon from the dataset 'Supervisor Districts' (rxqg-mtj9) the point in column 'location' is located. This enables the creation of region maps (choropleths) in the visualization canvas and data lens.


 Current Police Districts 2
 This column was automatically created in order to record in what polygon from the dataset 'Current Police Districts' (jx4q-fizf) the point in column 'location' is located. This enables the creation of region maps (choropleths) in the visualization canvas and data lens.


 Neighborhoods - Analysis Boundaries 2
 This column was automatically created in order to record in what polygon from the dataset 'Neighborhoods - Analysis Boundaries' (ajp5-b2md) the point in column 'location' is located. This enables the creation of region maps (choropleths) in the visualization canvas and data lens.


 Neighborhoods (old) 2
 This column was automatically created in order to record in what polygon from the dataset 'Neighborhoods (old)' (fyvs-ahh9) the point in column 'location' is located. This enables the creation of region maps (choropleths) in the visualization canvas and data lens.


 Police Districts 2
 This column was automatically created in order to record in what polygon from the dataset 'Police Districts' (p5aj-wyqh) the point in column 'location' is located. This enables the creation of region maps (choropleths) in the visualization canvas and data lens.


 Fire Prevention Districts 2
 This column was automatically created in order to record in what polygon from the dataset 'Fire Prevention Districts' (yftq-j783) the point in column 'location' is located. This enables the creation of region maps (choropleths) in the visualization canvas and data lens.


 Zip Codes 2
 This column was automatically created in order to record in what polygon from the dataset 'Zip Codes' (bh8s-q3mv) the point in column 'location' is located. This enables the creation of region maps (choropleths) in the visualization canvas and data lens.


 Neighborhoods
 This column was automatically created in order to record in what polygon from the dataset 'Neighborhoods' (jwn9-ihcz) the point in column 'location' is located. This enables the creation of region maps (choropleths) in the visualization canvas and data lens.


 Current Police Districts 3
 This column was automatically created in order to record in what polygon from the dataset 'Current Police Districts' (qgnn-b9vv) the point in column 'location' is located. This enables the creation of region maps (choropleths) in the visualization canvas and data lens.


 Current Supervisor Districts
 This column was automatically created in order to record in what polygon from the dataset 'Current Supervisor Districts' (26cr-cadq) the point in column 'location' is located. This enables the creation of region maps (choropleths) in the visualization canvas and data lens.

Note: If no description was provided by DataSF, the cell is left blank. See the source data for more information.