The dataset contains locations and attributes of Post Offices, 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. Information provided by the United States Postal Service (USPS) and DC GIS staff geo-processed the data.

Historical and spatial dataset of 166,140 post offices that operated in the United States between 1639-2000. Richard Helbock collected historical information about post offices and Cameron Blevins processed these records to geocode them. For more information about the dataset and its creation see: US Post Offices. The project's Github repository contains the code used to geocode post office records.

Comprehensive dataset of 36,570 Post offices in United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Find Post Offices in the state of Oklahoma.

This dataset contains measures of the number and density of post offices and banks per United States Census Tract or ZIP Code Tabulation Area (ZCTA) from 1990 through 2021. The dataset includes four separate files for four different geographic areas (GIS shapefiles from the United States Census Bureau). The four geographies include: Census Tract 2010 Census Tract 2020 ZIP Code Tabulation Area (ZCTA) 2010 ZIP Code Tabulation Area (ZCTA) 2020Information about which dataset to use can be found in the Usage Notes section of this document.

Comprehensive dataset of 62 Post offices in District of Columbia, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Post Office

A dataset of 20,000 handwritten digits from US mail service forms. The dataset was created by researchers at the University of California, Berkeley and is used for research in machine learning and computer vision tasks such as digit recognition.

Comprehensive dataset of 345 Post offices in Connecticut, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

U.S. Post Office Locations within Jefferson County, Kentucky. View detailed metadata.

The locations of the post offices within Fairfax County.

Austin's Communications & Technology Management Department is pleased to provide this zip code dataset for general use, designed to support a variety of research and analysis needs. Please note that while we facilitate access to this data, the dataset is owned and produced by the United States Postal Service (USPS). Users are encouraged to acknowledge USPS as the source when utilizing this dataset in their work. 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. This product is for informational purposes and may not have been prepared for or be suitable for legal, engineering, or surveying purposes. It does not represent an on-the-ground survey and represents only the approximate relative location of property boundaries. This product has been produced by the City of Austin for the sole purpose of geographic reference. No warranty is made by the City of Austin regarding specific accuracy or completeness.

This layer contains point features of United States Post Offices in Cambridge.Explore all our data on the Cambridge GIS Data Dictionary.Attributes NameType DetailsDescription ADDRESS type: Stringwidth: 22precision: 0 Post office street address

MAPID type: Stringwidth: 6precision: 0 Building ID - links to Buildings layer or tables

PONAME type: Stringwidth: 24precision: 0 Name of postal facility

Locations of US Post Offices in Bedford County, VA and Town of Bedford, VA.

Approximate areas covered by each US Postal Service (USPS) Zip Code in San Diego County. Areas are approximate boundaries only as determined by SanGIS and SanGIS JPA member users and associates. Does not represent an official depiction of USPS Zip Code boundaries. Does not represent all zip codes that may be used in the County. Certain Zip Codes are assigned for post office boxes only and cannot be represented by polygons. Note that the USPS does not define a Zip Code as an area. USPS defines a zip code as the identifier for the post office that mail will be delivered from. SanGIS Zip Code boundaries are approximated from situs addresses and information received from SanGIS JPA members and associates.

Cumberland County Post Office locations.

Graph and download economic data for All Employees, U.S. Postal Service (CES9091912001) from Jan 1939 to Jul 2025 about establishment survey, government, services, employment, and USA.

One of the many challenges that social science researchers and practitioners face is the difficulty of relating United States Postal Service (USPS) ZIP codes to Census Bureau geographies. There are valuable data available only at the ZIP code level that, when combined with demographic data tabulated at various Census geography levels, could open up new avenues of exploration.While some acceptable methods of combining ZIP codes and Census geography exist, they have limitations. To provide additional avenues for merging these data, PD&R has released the HUD-USPS Crosswalk Files. These unique files are derived from data in the quarterly USPS Vacancy Data. They originate directly from the USPS; are updated quarterly, making them highly responsive to changes in ZIP code configurations; and reflect the locations of both business and residential addresses. The latter feature is of particular interest to housing researchers because many of the phenomena that they study are based on housing unit or address. By using an allocation method based on residential addresses rather than by area or by population, analysts can take into account not only the spatial distribution of population, but also the spatial distribution of residences. This enables a slightly more nuanced approach to allocating data between disparate geographies. Please note that the USPS Vacancy Data is constructed from ZIP+4 data that contains records of addresses, it does not contain ZIP+4 data that are associated with ZIP codes that exclusively serve Postal Office Boxes (PO Boxes). As a result, ZIP codes that only serve PO Boxes will not appear in the files.In addition to the crosswalk files, this dataset also includes screenshots of HUDs documentation and FAQ pages.Understanding ZIP Code Crosswalk FilesThough often used for mapping, spatial analysis, and data aggregation careful attention is required when interpreting ZIP Code data relative to other administrative geographies. 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. https://www.huduser.gov/portal/periodicals/cityscpe/vol20num2/ch16.pdfUsing a GIS to Geoprocess ZIP Code Crosswalk FilesThis article demonstrates how to use a GIS to process ZIP Code Crosswalk Files. In this article, calls for service from New York City's Open Data Portal are estimated at the county-level and census tract-level. This article also includes an accuracy analysis.Din, Alexander and Wilson, Ron, 2020. "Crosswalking ZIP Codes to Census Geographies: Geoprocessing the U.S. Department of Housing & Urban Development’s ZIP Code Crosswalk Files," Cityscape: A Journal of Policy Development and Research, Volume 22, Number 1, https://www.huduser.gov/portal/periodicals/cityscpe/vol22num1/ch12.pdf

After reaching a peak of around *** billion units in 2006, the U.S. Postal Services (USPS) has experienced a year-on-year decline in mail volume every year since. In 2024, the volume of mail delivered by the USPS dropped to just ***** billion units. Types of deliveriesIncluded in the above figures are all types of mail delivered by USPS: traditional mail, marketing materials, periodicals, and the shipping of packages. The decline in total volume can be attributed to the first three of these categories, which have each generated increasingly smaller revenue figures. However, the revenue generated from shipping packages has actually increased in recent times, leading to USPS’ total revenue staying relatively stable. This has been insufficient to address the decline in total volume though, with USPS reporting net losses each year for over a decade. Reasons for declining mail volumesTechnology is the main culprit for both the decline in traditional mail volumes, and the increase in parcel deliveries. On the one hand, a clear and increasing majority of people in the U.S. use email, reducing the need for traditional mail services. On the other hand, the share of U.S. retail sales made online has more doubled in just a decade, creating greater demand for package delivery services.

Data in table tells us about the year-wise number of post offices, letter boxes and postal articles (excluding money orders). Postal articles include- Unregistered Articles, Registered Articles, Speed Posts & Express Parcel Posts and Total Mail Traffic. The data recorded is for all the States of India and APS (Army Postal Service) from 2009-2010 to 2015-16.

Note: 1) Estimated Number of Postal articles handled- excluding money orders 2) APS stands for Army Postal Service 3) Data for North Eastern States is not available for all the states separately.