The Register of Geographic Codes (RGC) is a key product that contains the definitive list of UK statistical geographies. ONS maintains the definitive set of statistical geographies, coordinates the issue of new codes, and maintains the relationship between active and archived code ranges on behalf of the Government Statistical Service. The RGC should be used in conjunction with the Code History Database, available to download separately.

Content

Useful for the US Traffic Fatality Records dataset

Acknowledgements

From gsa.gov

US Geographic Codes Dataset

This code is used to generate a combined data set of US ZIP, FIPS, and County data for most ZIP Codes in the U.S. (41,867 to be exact).

Code to generate the data set from the government files listed below can be found here.

The Data

The dataset is organized as follows:

• Zip Code: USPS ZIP code from here
• State Name: Full state name (E.g. Michigan)
• State Abrv: USPS abbreviated state name (E.g: MI)
• State Code: FIPS State Code from here
• County Name: County in which ZIP is located
• County Code: FIPS County Code
• FIPS Code: FIPS State Code + FIPS County Code from here
• ANSI Code: American National Standards Institute Code
• Centroid Lat: Latitude value of the county center
• Centroid Long: Longitude value of the county center

Sources

The data used to create this data set was taken from several recent government data sets.

These are:

• 2017 US Gazetteer FIPS Dataset
• 2017 US Census County Polygons Dataset
• 2015 Department of Labor GPCI Dataset
• General Census State Code Reference Document

Disclaimers

The final csv is in 'latin1' encoding to preserve the Spanish county names in Puerto Rico.

This data is from, and shall remain in the public domain, and the onus of responsibility lies with the user of this data.

❌❌❌ THIS DATASET IS RETIRED ❌❌❌

• Go here for latest 🇵🇭 Philippine Standard Geographic Codes Aug 2025 or directly access Philippine Standard Geographic Code

Context

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In the fourth quarter of 2024, the names of three barangays in the Philippine Standard Geographic Code (PSGC) masterlist were corrected as recommended by the Interagency Technical Working Group on Geographic Code (TWGGC). The details of updates are as follows: The compilation and updating of the PSGC is a collaborative effort between the Philippine Statistics Authority (PSA) and its interagency TWGGC, which includes the Commission on Elections (COMELEC), Department of Budget and Management (DBM), Department of the Interior and Local Government (DILG), Land Management Bureau (LMB), Land Registration Authority (LRA), NHCP, and the National Mapping and Resource Information Authority (NAMRIA).

See more at Philippine Standard Geographic Code

Geographic Levels (as of 31 December 2024)

• Region- 18
• Province- 82
• Highly Urbanized City (HUC)- 33
• Independent Component City (ICC)- 5
• Component City (ICC)- 111
• Municipality- 1493
• Barangay- 42,011

Note

Image generated with Bing Image Generator

Tables containing standard codes for various geographic areas. The codes are described in greater detail in the VT Geographic Area Names and Codes Standard. The table preview shows 1 of the tables--the COMMCODE table. All tables and metadata are available for download via 1 .zip file; the .zip file contains the tables in Esri File Geodatabase format, DBF, CSV, and XLS.

PMSI geographic codes are used to enhance the anonymisation of medical activity data reported by health facilities that are stored in the PMSI. This is the most accurate information that can be found on the location of a patient. The geographic code PMSI corresponds more or less to the postal code of residence of the patient. If the postal code includes municipalities with a total of more than 1000 inhabitants, the geographical code PMSI corresponds to the postal code. Otherwise, the geographic code PMSI corresponds to an aggregated postal code. The composition of the PMSI geographical codes can be found on the ATIH website: https://www.atih.sante.fr/nomenclatures-de-recueil-de-linformation/codes-geographiques. The construction of these spatial data is based on the Datasanté database, in particular the t_geo_com table, which makes it possible to find the communal composition of the PMSI geographical codes for each vintage: https://www.data.gouv.fr/fr/datasets/referentiel-geographique-t-geo-com/. For each vintage, two types of datasets are made available: the boundaries of the PMSI geographical codes and the location of the cluster communes (municipality most populated within the PMSI geographical code).

The 2005 First Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage for a single TIGER/Line file is a county or statistical equivalent entity, with the coverage area based on the latest available governmental unit boundaries. The Census TIGER database represents a seamless national file with no overlaps or gaps between parts. However, each county-based TIGER/Line file is designed to stand alone as an independent data set or the files can be combined to cover the whole Nation. The 2005 First Edition TIGER/Line files consist of line segments representing physical features and governmental and statistical boundaries. The files contain information distributed over a series of record types for the spatial objects of a county. There are 19 record types, including the basic data record, the shape coordinate points, and geographic codes that can be used with appropriate software to prepare maps. Other geographic information contained in the files includes attributes such as feature identifiers/census feature class codes (CFCC) used to differentiate feature types, address ranges and ZIP Codes, codes for legal and statistical entities, latitude/longitude coordinates of linear and point features, landmark point features, area landmarks, and area boundaries.

Context

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Updates

The Province of Sulu Officially Transferred to Region IX (Zamboanga Peninsula)

• Release Date: Friday, August 29, 2025
• Reference Number: 2025-325
• Description: Pursuant to Executive Order No. 91, Series of 2025 dated 30 July 2025, the Province of Sulu has been officially transferred to Region IX (Zamboanga Peninsula). The transfer includes all municipalities and barangays within the Province of Sulu. This development follows the Supreme Court’s ruling affirming the exclusion of the province from the Bangsamoro Autonomous Region in Muslim Mindanao (BARMM).

See more at Philippine Standard Geographic Code

Geographic Levels (as of 29 August 2025)

• Region- 18
• Province- 82
• Highly Urbanized City (HUC)- 33
• Independent Component City (ICC)- 5
• Component City (ICC)- 111
• Municipality- 1493
• Barangay- 42,011

Note

Image generated with Bing Image Generator

This is the data and code related to the paper submitted to IJGIS titled 'Measuring Univariate Effects in the Interaction of Geographical Patterns.' It comprises the following three folders:**Data: Australia Homelessness Risk****GPI Codes:** - GPImodel.Rmd: The code for GPI. It depends on two functions: - Fun_treeall.R: Calculates the global effects of GPI. - Fun_treeall_map.R: Calculates the local effects of GPI.**Sensitivity Analysis:**Conduct the sensitivity analysis of GPI applied in the case study (Australia Homelessness Risk).

🌍 Ultimate Geographic Data Collection | Cities & Zip Codes

📌 Overview

Welcome to the Ultimate Geographic Data Collection, a comprehensive dataset providing valuable geographic insights. This dataset includes U.S. Zip Codes, U.S. Cities, and World Cities data, making it an essential resource for developers, data analysts, and researchers. Whether you're building location-based applications, conducting geographic analysis, or working on machine learning projects, this dataset offers an extensive and curated collection of location-based information.

📊 What's Inside?

• U.S. Zip Codes Database (Free Version) 🏙️

  • Includes ZIP codes, state associations, and geographic coordinates.
  • 🔗 Usage Condition: Requires a visible backlink to SimpleMaps US Zip Code Database.

• U.S. Cities Database (Free Version) 🌆

  • Includes city names, state information, latitude, longitude, and population data.
  • 🔗 Usage Condition: Requires a visible backlink to SimpleMaps US Cities Database.

• Basic World Cities Database 🗺️

  • Provides global city data licensed under Creative Commons Attribution 4.0.
  • 📜 Learn more: CC BY 4.0 License.

• Comprehensive & Pro World Cities Database (Density Data) 🌎

  • Population density estimates sourced from CIESIN - Columbia University.
  • 🔗 Licensed under Creative Commons Attribution 4.0 with no additional restrictions.

⚖️ License & Usage Terms

• ✅ You CAN:

  • Use this dataset in private and public-facing applications.
  • Create copies and backups for your projects.
  • Transfer the license (with provider approval via email).

• 🚫 You CANNOT:

  • Redistribute the dataset publicly without written permission.
  • Use it in a way that violates any laws.
  • Bypass the backlink requirement (for free U.S. Zip Code & Cities Databases).

🛠️ How to Use

1. Download the dataset 📥.
2. Ensure compliance with licensing terms.
3. Use it in your projects for analysis, visualization, or machine learning.
4. Provide attribution (if applicable) for free datasets.

⚠️ Disclaimer

• This dataset is provided "AS IS", without any warranties.
• The provider is not liable for any issues arising from usage.
• Users are responsible for ensuring legal compliance in their jurisdiction.

🔥 Get Started!

Enhance your geographic projects with this powerful dataset today! 🚀

📩 For any inquiries, licensing requests, or attribution clarifications, contact the dataset provider.

This CD (TIGER/GICS file) contains the entity names, codes, selected geographic relationships, total population, total number of housing units, area measurements (land, total water, inland water, coastal water, Great Lakes water, and territorial water), and internal points for the high-level geographic entities discussed in the next section. The data dictionary identifies the data items reported in this file. This file contains information related to: - The regions and divisions established b y the Bureau of the Census for statistical purposes - The 50 States and several statistically equivalent entities: the District of Columbia, six territories under U.S. jurisdiction (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, the Republic of Palau, Puerto Rico, and the Virgin Islands of the United States), and two freely associated entities for which the Census Bureau prepared TIGER/Line(TM) files although they were not included in the 1990 census the Federated States of Micronesia and the Marshall Islands - American Indian and Alaska Native areas - Counties and statistically equivalent entities - County subdivisions - Places - Metropolitan Areas - Urbanized Areas The TIGER/GICS file is composed of 12 separate files, 6 files with national hierarchies and 6 with State hierarchies. Note to Users: This CD is part of a collection located in the Data Archive of the Odum Institute for Research in Social Science, at the University of North Carolina at Chapel Hill. The collection is located in Room 10, Manning Hall. Users may check the CDs out subscribing to the honor system. Items can be checked out for a period of two weeks. Loan forms are located adjacent to the collection.

Updates to the Parent Codes for ONS owned and Live instances:

🇬🇧 영국 English The Register of Geographic Codes (RGC) is a key product that contains the definitive list of UK statistical geographies. ONS maintains the definitive set of statistical geographies, coordinates the issue of new codes, and maintains the relationship between active and archived code ranges on behalf of the Government Statistical Service. The RGC should be used in conjunction with the Code History Database, available to download separately.Updated Geographies · Updates to Parishes (E04), Wards (E05), Non-Civil Parished Areas (E43), Sustainability and Transformation Partnerships (E54) · New Entity for Integrated Care Systems (E59) · Updates to Health Board areas (S08), Localities (S19), Settlements (S20), Local Administrative Units 1 (S30), Scottish Police Divisions (S32), Integration Authorities (S37), Scottish Fire and Rescue Local Senior Officer Areas (S39), Scottish Fire and Rescue Service Delivery Areas (S40) · Updates to Registration Districts (W20) and Registration Sub-districts (W21)

This file can be used as a tool to append geographic codes to geocoded point data. The file was developed by Pitt's Center for Social and Urban Research and provides the county, census tract, county subarea/municipality, Allegheny County Council District, PA House and Senate District numbers, school district, and Zip codes. Also included from the City of Pittsburgh: neighborhoods, wards, City Council election districts, and City administrative boundaries, including Permits Licenses and Inspection administrative zones, Public Works administrative zones, Fire districts, and Police zones. The file contains data from Allegheny, Armstrong, Beaver, Butler, Fayette, Greene, Indiana, Lawrence, Washington, and Westmoreland Counties in Pennsylvania.

The Quebec geographic code files correspond to a set of tabular data presenting the most recent portrait of the municipal boundaries in force (file D001) as well as the history of all territorial transactions that have affected municipalities since the establishment of the geographic code system in 1964 (file D002). These files bring together all the information available in the Directory of territorial divisions: they include all the transactions listed in the newsletters Modifications to municipalities, toponyms, codes and other additional information on municipalities as well as all the links belonging to the other territorial divisions provincial and federal. Earlier versions (up to 1985) of the Quebec geographic code files are available here. Geographic code files are distributed in two distinct formats: in XML (Extensible Markup Language), which is the recommended format for exploiting data, and in text format. For more details, see the metadata sheet on page 4.

This new product has the 2021 Census geographies included.

The Geographic Names Information System (GNIS) was developed by the United States Geological Survey (USGS) to meet major national needs regarding geographic names and their standardization and dissemination. This dataset consists of standard report files written from the National Geographic Names Data Base, one of five data bases maintained in the GNIS. A standard format data file containing Michigan place names and geographic features such as towns, schools, reservoirs, parks, streams, valleys, springs and ridges is accompanied by a file that provides a Cross-Reference to USGS 7.5 x 7.5 minute quadrangle maps for each feature. The records in the data files are organized alphabetically by place or feature name. The other variables available in the dataset include: Federal Information Processing Standard (FIPS) state/county codes, Geographic Coordinates -- latitude and longitude to degrees, minutes, and seconds followed by a single digit alpha directional character, and a GNIS Map Code that can be used with the Cross-Reference file to provide the name of the 7.5 x 7.5 minute quadrangle map that contains that geographic feature.

Tables containing standard codes for various geographic areas. These codes are described in greater detail in the VT Geographic Area Codes Standard. These tables are available in Esri File Geodatabase format, DBF, CSV, and XLS (all formats are packaged into 1 .zip file).

A. SUMMARY This dataset contains COVID-19 positive confirmed cases aggregated by several different geographic areas and by day. COVID-19 cases are mapped to the residence of the individual and shown on the date the positive test was collected. In addition, 2016-2020 American Community Survey (ACS) population estimates are included to calculate the cumulative rate per 10,000 residents.

Dataset covers cases going back to 3/2/2020 when testing began. This data may not be immediately available for recently reported cases and data will change to reflect as information becomes available. Data updated daily.

Geographic areas summarized are: 1. Analysis Neighborhoods 2. Census Tracts 3. Census Zip Code Tabulation Areas

B. HOW THE DATASET IS CREATED Addresses from the COVID-19 case data are geocoded by the San Francisco Department of Public Health (SFDPH). Those addresses are spatially joined to the geographic areas. Counts are generated based on the number of address points that match each geographic area for a given date.

The 2016-2020 American Community Survey (ACS) population estimates provided by the Census are used to create a cumulative rate which is equal to ([cumulative count up to that date] / [acs_population]) * 10000) representing the number of total cases per 10,000 residents (as of the specified date).

COVID-19 case data undergo quality assurance and other data verification processes and are continually updated to maximize completeness and accuracy of information. This means data may change for previous days as information is updated.

C. UPDATE PROCESS Geographic analysis is scripted by SFDPH staff and synced to this dataset daily at 05:00 Pacific Time.

D. HOW TO USE THIS DATASET San Francisco population estimates for geographic regions can be found in a view based on the San Francisco Population and Demographic Census dataset. These population estimates are from the 2016-2020 5-year American Community Survey (ACS).

This dataset can be used to track the spread of COVID-19 throughout the city, in a variety of geographic areas. Note that the new cases column in the data represents the number of new cases confirmed in a certain area on the specified day, while the cumulative cases column is the cumulative total of cases in a certain area as of the specified date.

Privacy rules in effect To protect privacy, certain rules are in effect: 1. Any area with a cumulative case count less than 10 are dropped for all days the cumulative count was less than 10. These will be null values. 2. Once an area has a cumulative case count of 10 or greater, that area will have a new row of case data every day following. 3. Cases are dropped altogether for areas where acs_population < 1000 4. Deaths data are not included in this dataset for privacy reasons. The low COVID-19 death rate in San Francisco, along with other publicly available information on deaths, means that deaths data by geography and day is too granular and potentially risky. Read more in our privacy guidelines

Rate suppression in effect where counts lower than 20 Rates are not calculated unless the cumulative case count is greater than or equal to 20. Rates are generally unstable at small numbers, so we avoid calculating them directly. We advise you to apply the same approach as this is best practice in epidemiology.

A note on Census ZIP Code Tabulation Areas (ZCTAs) ZIP Code Tabulation Areas are special boundaries created by the U.S. Census based on ZIP Codes developed by the USPS. They are not, however, the same thing. ZCTAs are areal representations of routes. Read how the Census develops ZCTAs on their website.

Rows included for Citywide case counts Rows are included for the Citywide case counts and incidence rate every day. These Citywide rows can be used for comparisons. Citywide will capture all cases regardless of address quality. While some cases cannot be mapped to sub-areas like Census Tracts, ongoing data quality efforts result in improved mapping on a rolling bases.

Related dataset See the dataset of the most recent cumulative counts for all geographic areas here: https://data.sfgov.org/COVID-19/COVID-19-Cases-and-Deaths-Summarized-by-Geography/tpyr-dvnc

E. CHANGE LOG

• 9/11/2023 - data on COVID-19 cases by geography over time are no longer being updated. This data is currently through 9/6/2023 and will not include any new data after this date.
• 4/6/2023 - the State implemented system updates to improve the integrity of historical data.
• 2/21/2023 - system updates to improve reliability and accuracy of cases data were implemented.
• 1/31/2023 - updated “acs_population” column to reflect the 2020 Census Bureau American Community Survey (ACS) San Francisco Population estimates.
• 1/31/2023 - implemented system updates to streamline and improve our geo-coded data, resulting in small shifts in our case data by geography.
• 1/31/2023 - renamed column “last_updated_at” to “data_as_of”.
• 1/31/2023 - removed the “multipolygon” column. To access the multipolygon geometry column for each geography unit, refer to COVID-19 Cases and Deaths Summarized by Geography.
• 1/22/2022 - system updates to improve timeliness and accuracy of cases and deaths data were implemented.
• 4/16/2021 - dataset updated to refresh with a five-day data lag.

File updated following late receipt of The Leeds (Reorganisation of Community Governance) Amendment Order 2018. Boundary and code change for Garforth & Swillington, and Temple Newsam wards and also updated to include changes to 6 parishes and Leeds, unparished area in Leeds following the late receipt of a parish order.