Comprehensive, annually-updated population datasets at ZIP code and administrative levels for 247 countries, spanning from 1975 to 2030, including historical, current, and projected population figures, enriched with attributes like area size, multilingual support, UNLOCODEs, IATA codes, and time zones.

Extract from the national register of natural persons RNPP showing the respective number of persons registered by postal code.

Extract from the national person register RNPP indicating the respective number of registered persons per postal code.

This table shows the 2021 population and dwelling counts for reported forward sortation areas.

Our zip code Database offers comprehensive postal code data for spatial analysis, including postal and administrative areas. This dataset contains accurate and up-to-date information on all administrative divisions, cities, and zip codes, making it an invaluable resource for various applications such as address capture and validation, map and visualization, reporting and business intelligence (BI), master data management, logistics and supply chain management, and sales and marketing. Our location data packages are available in various formats, including CSV, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Product features include fully and accurately geocoded data, multi-language support with address names in local and foreign languages, comprehensive city definitions, and the option to combine map data with UNLOCODE and IATA codes, time zones, and daylight saving times. Companies choose our location databases for their enterprise-grade service, reduction in integration time and cost by 30%, and weekly updates to ensure the highest quality.

Extrait du registre national des personnes physiques RNPP relevant les nombres respectifs de personnes enregistrées par code postal. Extract from the national person register RNPP indicating the respective number of registered persons per postal code.

The PCCF+ is a SAS© control program and set of associated datasets derived from the PCCF, a 2016 postal codeOM population weight file, the Geographic Attribute File, Health Region boundary files, and other supplementary data. PCCF+ automatically assigns a range of Statistics Canada standard geographic areas and other geographic identifiers based on postal codesOM. PCCF+ differs from the PCCF in that it: Uses population-weighted random allocation for many postal codesOM that link to more than one geographic area. Options are available for institutional postal codesOM. Procedures are included to link partial postal codesOM to geographic identifiers where possible. Problem records and diagnostics are provided in the program output, along with reference information for possible solutions. The geographic coordinates, which represent the standard geostatistical areas linked to each postal codesOM on the PCCF, are commonly used to map the distribution of data for spatial analysis (e.g., clients, activities). In April 1983, the Geography Division released the first version of the PCCF, which linked postal codes to 1981 census geographic areas and included geographic coordinates. PCCF+ was first created using the 1986 census and has been updated regularly with population weight files calculated for each census from 1991 through 2016. The purpose of the PCCF+ is to provide a link between six-character postal codesOM produced by the Canada Post Corporation (CPC), standard 2021 Census geographic areas (such as dissemination areas, census subdivisions, and census tracts) produced by Statistics Canada, and supplementary administrative areas and neighbourhood income quintiles. Postal codesOM do not respect census geographic boundaries and so may be linked to more than one standard geographic area, or assigned to more than one set of coordinates. Therefore, one postal codeOM may be represented by more than one record. The PCCF product, produced by Statistics Canada, provides links between postal codes and all recorded matches to census geography. PCCF+ uses the PCCF but provides additional functionality in that it uses a population-weighted matching process for some residential postal codesOM where more than one geographic code is possible. PCCF+ also provides routines for institutional postal codesOM and for historic postal codesOM. The purpose of this product is not to validate postal codesOM or the PCCF.

This file contains the National Statistics Postcode Lookup (NSPL) for the United Kingdom as at August 2022 in Comma Separated Variable (CSV) and ASCII text (TXT) formats. To download the zip file click the Download button. The NSPL relates both current and terminated postcodes to a range of current statutory geographies via ‘best-fit’ allocation from the 2021 Census Output Areas (national parks and Workplace Zones are exempt from ‘best-fit’ and use ‘exact-fit’ allocations) for England and Wales. Scotland and Northern Ireland has the 2011 Census Output AreasIt supports the production of area based statistics from postcoded data. The NSPL is produced by ONS Geography, who provide geographic support to the Office for National Statistics (ONS) and geographic services used by other organisations. The NSPL is issued quarterly. (File size - 184 MB).

This dataset denotes ZIP Code centroid locations weighted by population. Population weighted centroids are a common tool for spatial analysis, particularly when more granular data is unavailable or researchers lack sophisticated geocoding tools. The ZIP Code Population Weighted Centroids allows researchers and analysts to estimate the center of population in a given geography rather than the geometric center.

A dataset listing Illinois zip codes by population for 2024.

This is a MD iMAP hosted service. Find more information at http://imap.maryland.gov. The units of geography used for the 2010 Census maps displayed here are the Zip Code Tabulation Area (ZCTA). ZCTAs are statistical geographic areas produced by the Census Bureau by aggregating census blocks to create generalized areas closely resembling the U.S. Postal Service's postal zip codes. The data collected on the short form survey are general demographic characteristics such as age - race - ethnicity - household relationship - housing vacancy and tenure (owner/renter).Feature Service Link:https://mdgeodata.md.gov/imap/rest/services/Demographics/MD_CensusData/FeatureServer ADDITIONAL LICENSE TERMS: The Spatial Data and the information therein (collectively "the Data") is provided "as is" without warranty of any kind either expressed implied or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct indirect incidental consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.

The Postal Code Population Weight File has been created as a supplementary product to the Postal Code Conversion File (PCCF). It provides users with a population ‘weight’ for postal codes with multiple links on the PCCF. The weight associated with each record on the Postal Code Population Weight File represents the proportion of the population reporting the postal code within a specific enumeration area. Only a small percentage of postal codes are linked to more than one enumeration area on the PCCF (4%). However, these postal codes tend to serve relatively large areas and large populations. The weights will allow users to allocate their data proportionally to the population distribution reported in the 1996 Census. This file can also be used in combination with the PCCF to identify those postal code-to-enumeration area links confirmed by census reported postal code data.

Population by U.S. Postal ZIP Code from the Series 14 Regional Growth Forecast

Population by U.S. Postal ZIP Code from the 2010 Decennial Census

This table contains figures on the Dutch population per four-digit postal code on 1 January 2007.

In this table, the data can be divided into the following characteristics: — Population by gender, age and postal code.

— Immigrants by origin grouping and postal code. — Private households by composition and postal code. Data as of 1 January 2007.

Status of the figures All figures shown in the table are final figures. For reasons of statistical confidentiality, the numbers per 4-digit postal code are randomly rounded to multiples of 5.

In random rounding, lots determine whether a number is rounded up or down. The opportunities used are inversely proportional to the rounding differences.On average, a number is rounded by itself. However, the average rounding difference per number is greater than when rounded to the nearest multiple of 5. Due to rounding differences, the sum of rounded numbers is not always equal to the rounded sum. Change as of 23 August 2019: None, this table has been discontinued.

When are new figures coming? No longer applicable. This table is followed by:

Population; gender, age and four-digit postal code, 1 January; Population; gender, migration background, four-digit postal code, 1 January; Population; gender, position of household, four-digit postal code, 1 January; Households; household composition and four-digit postal code, 1 January.(see paragraph 3).
In this table, the data can be divided into the following characteristics:

— Population by gender, age and postal code.

— Immigrants by origin grouping and postal code.

— Private households by composition and postal code.

Data as of 1 January 2007.

Status of the figures

All figures shown in the table are final figures.

For reasons of statistical confidentiality, the numbers per 4-digit postal code are randomly rounded to multiples of 5.

In random rounding, lots determine whether a number is rounded up or down. The opportunities used are inversely proportional to the rounding differences. On average, a number is rounded by itself. However, the average rounding difference per number is greater than when rounded to the nearest multiple of 5. Due to rounding differences, the sum of rounded numbers is not always equal to the rounded sum.

Change as of 23 August 2019:

None, this table has been discontinued.

When are new figures coming?

No longer applicable.

This table is followed by:

Population; gender, age and four-digit postal code, 1 January;

Population; gender, migration background, four-digit postal code, 1 January;

Population; gender, position of household, four-digit postal code, 1 January;

Households; household composition and four-digit postal code, 1 January. (see paragraph 3).

This table contains figures for the Dutch population per four-digit postal code as at 1 January 2012.

In this table, the data can be broken down into the following characteristics: — Population by gender, age and postal code; — Immigrants by origin grouping and postal code; — Private households by composition and postal code.

Trend breaks A new methodology has been used for the compilation of household data from 2011. This results in small shifts in the number of households by composition. More information about the trend breaks can be found in section 4.

As of 2010, a small shift has occurred between the different civil states (less unmarried and more divorced and widowed). More information about the trend breaks can be found in section 4.

Data as at 1 January 2012

Status of the figures: The figures on the population, immigrants and private households are final.

For reasons of statistical confidentiality, the numbers per 4-digit postal code are randomly rounded to multiples of 5. Random rounding determines whether a number is rounded up or down. The opportunities used are inversely proportional to the final differences. On average, a number is rounded by itself. However, the average rounding difference per number is greater than when rounded to the nearest multiple of 5. Due to rounding differences, the sum of rounded numbers is not always equal to the rounded sum.

Change as of 23 August 2019: None, this table has been discontinued.

When will there be new figures? No longer applicable. This table is followed by: Population; gender, age and four-digit postal code, 1 January; Population; gender, migration background, four-digit postcode, 1 January; Population; gender, household position, four-digit postal code, 1 January; Households; household composition and four-digit postal code, January 1. (see paragraph 3).

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Health regions are defined by provincial governments as the areas of responsibility for regional healthboards (i.e., legislated) or as regions of interest to health care authorities. In 1998, Statistics Canada, together with the Canadian Institute for Health Information and the Advisory Council on Health Info-Structure (Health Canada),consulted stakeholders across Canada to identify current and future needs for health information. These consultations identified a need for comprehensive and comparable sub-provincial data. In response to this need, health regions were investigated as an alternative geographic unit for disseminating health information. This report provides an overview of health regions in Canada, along with sourcesand methodologies for developing and understanding the health region data linkage and digital boundary files, geographic attributes, and population estimates. The same health region boundaries contained in Health Regions - 2000 have been used in the sample design for the Canadian Community Health Survey. Future boundary changes may cause adjustments to the survey collection and dissemination process, or sample revisions for future survey cycles. For current Health Regions data, refer to Statistics Canada.

A dataset listing Delaware zip codes by population for 2024.

A dataset listing Washington zip codes by population for 2024.

U.S. ZIP Code Areas provides ZIP Code, postal district name, population, and area for the ZIP Code areas in the United States. U.S. ZIP Code Areas 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 (or equivalent areas) 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 (SCF) or a mail processing facility area. The fourth and fifth digits identify a post office, station, branch or local delivery area. The source of the boundaries is TomTom (June 2024) and the population estimates are from Esri Updated Demographics. This layer is updated annually.