Data files for the fast reverse geocoder available at https://github.com/kno10/reversegeocode For source code to generate or use the data, see above URL.

The address-matching process derives spatial data points from input tabular address data. This geocoding package is constructed using road centerline and address point data published by the NJ Office of Information Technology, Office of GIS (NJOGIS.) The geocoder is refreshed monthly using updates of those datasets.For additional support or to download a copy of the geocoding package please visit https://njgin.nj.gov/njgin/edata/geocoding.The geocoder includes a multirole locator that references comprehensive statewide address point and road centerline datasets. These datasets are maintained and published by NJOGIS in cooperation with county and municipal GIS agencies. The data have been reprocessed from the published releases to accommodate optimization of the locators. The published source data can be found here: Address Points - https://njgin.nj.gov/njgin/edata/addresses; Road Centerlines - https://njgin.nj.gov/njgin/edata/roads

Geoscape G-NAF is the geocoded address database for Australian businesses and governments. It’s the trusted source of geocoded address data for Australia with over 50 million contributed addresses distilled into 15.4 million G-NAF addresses. It is built and maintained by Geoscape Australia using independently examined and validated government data.

From 22 August 2022, Geoscape Australia is making G-NAF available in an additional simplified table format. G-NAF Core makes accessing geocoded addresses easier by utilising less technical effort.

G-NAF Core will be updated on a quarterly basis along with G-NAF.

Further information about contributors to G-NAF is available here.

With more than 15 million Australian physical address record, G-NAF is one of the most ubiquitous and powerful spatial datasets. The records include geocodes, which are latitude and longitude map coordinates. G-NAF does not contain personal information or details relating to individuals.

Updated versions of G-NAF are published on a quarterly basis. Previous versions are available here

Users have the option to download datasets with feature coordinates referencing either GDA94 or GDA2020 datums.

Changes in the November 2025 release

• Nationally, the November 2025 update of G-NAF shows an increase of 32,773 addresses overall (0.21%). The total number of addresses in G-NAF now stands at 15,827,416 of which 14,983,358 or 94.67% are principal.

• There is one new locality for the November 2025 Release of G-NAF, the locality of Southwark in South Australia.

• Geoscape has moved product descriptions, guides and reports online to https://docs.geoscape.com.au.

Further information on G-NAF, including FAQs on the data, is available here or through Geoscape Australia’s network of partners. They provide a range of commercial products based on G-NAF, including software solutions, consultancy and support.

Additional information: On 1 October 2020, PSMA Australia Limited began trading as Geoscape Australia.

License Information

Use of the G-NAF downloaded from data.gov.au is subject to the End User Licence Agreement (EULA)

The EULA terms are based on the Creative Commons Attribution 4.0 International license (CC BY 4.0). However, an important restriction relating to the use of the open G-NAF for the sending of mail has been added.

The open G-NAF data must not be used for the generation of an address or the compilation of an address for the sending of mail unless the user has verified that each address to be used for the sending of mail is capable of receiving mail by reference to a secondary source of information. Further information on this use restriction is available here.

End users must only use the data in ways that are consistent with the Australian Privacy Principles issued under the Privacy Act 1988 (Cth).

Users must also note the following attribution requirements:

Preferred attribution for the Licensed Material:

_G-NAF © Geoscape Australia licensed by the Commonwealth of Australia under the _Open Geo-coded National Address File (G-NAF) End User Licence Agreement.

Preferred attribution for Adapted Material:

Incorporates or developed using G-NAF © Geoscape Australia licensed by the Commonwealth of Australia under the Open Geo-coded National Address File (G-NAF) End User Licence Agreement.

What to Expect When You Download G-NAF

G-NAF is a complex and large dataset (approximately 5GB unpacked), consisting of multiple tables that will need to be joined prior to use. The dataset is primarily designed for application developers and large-scale spatial integration. Users are advised to read the technical documentation, including product change notices and the individual product descriptions before downloading and using the product. A quick reference guide on unpacking the G-NAF is also available.

🇩🇪 Germany German Data files for the fast reverse geocoder available at https://github.com/kno10/reversegeocode For source code to generate or use the data, see above URL.

This repository contains the scripts required to implement the Wikidata-based geocoding pipeline described in the accompanying paper. geocode.sh : Shell script for setting up and executing Stanford CoreNLP with the required language models and entitylink annotator. Automates preprocessing, named entity recognition (NER), and wikification across a directory of plain-text (.txt) files. Configured for both local execution and high-performance computing (HPC) environments. geocode.py : Python script that processes the list of extracted location entities (entities.txt) and retrieves latitude/longitude coordinates from Wikidata using Pywikibot. Handles redirects, missing pages, and missing coordinate values, returning standardized placeholder codes where necessary. Outputs results as a CSV file with columns for place name, latitude, longitude, and source file. geocode.sbatch : Optional SLURM submission script for running run_corenlp.sh on HPC clusters. Includes configurable resource requests for scalable processing of large corpora. README.md : Detailed README file including a line-by-line explanation of the geocode.sh file. Together, these files provide a reproducible workflow for geocoding textual corpora via wikification, suitable for projects ranging from small-scale literary analysis to large-scale archival datasets.

This first-of-its-kind geocoded dataset contains all known natural resource concessions granted to investors in Liberia from 2004 to 2015, categorized on 43 different dimensions. The release contains 557 concession licenses sourced from both official systems and transparency initiatives in Liberia, along with additional information collected using AidData's TUFF open-source data collection methodology.

This dataset is used in the map tooltip documentation to explain different ways to enhance information in a map.This database represents locations of Hospitals for 50 states and Washington D.C. , Puerto Rico and US territories. The dataset only includes hospital facilities and does not include nursing homes. Data for all the states was acquired from respective states departments or their open source websites and then geocoded and converted into a spatial database. After geocoding the exact spatial location of each point was moved to rooftops wherever possible and points which have been physically verified have been labelled "Geocode", "Imagery", "Imagery with other" and "Unverified" depending on the methodology used to move the points. "Unverified" data points have still not been physically examined even though each of the points has been street geocoded as mentioned above. Missing records are denoted by 'Not Available' or NULL values. Not Available denotes information that was either missing in the source data or data that has not been populated current version. This dataset has been developed to represent Hospitals for inclusion in the HSIP datasets.

UK Postcode Directory

Geocode UK Postcodes & Identify Geographical Hierarchies

By GetTheData [source]

About this dataset

This Open Postcode Geo dataset contains a wealth of information about UK postcodes. For each postcode, there are several geospace attributes you can use to refine your analysis such as latitude, longitude, easting and northing. Moreover, the positional quality indicator provides a range of accuracy levels for each geospace attribute.

In addition to positioning data, this dataset has been derived from the Office for National Statistics' Postcode Directory which gives users extra insights into postcodes such as postcode areas, districts and sectors — enabling them to accurately group records into geographic hierarchies: perfect for mapping applications and statistical analysis!

And with data coming from multiple sources — The Crown Copyright & Database Right (2016), Royal Mail Copyright & Database Right (2016) & ONS ™ - users can be assured that Open Postcode Geo provides accurate and up-to-date results that cover terminated archives as well as smaller user-generated postcodes! All released under the UK Government's Open Government Licence v3; with attribution required pursuant to ONS Licences info... Now you too have access to powerful spatial information about the United Kingdom; helping you gain unparalleled insight in record time

More Datasets

For more datasets, click here.

Featured Notebooks

• 🚨 Your notebook can be here! 🚨!

Research Ideas

• Use this dataset to combine with other datasets to accurately geocode addresses in a variety of formats, such as full postcodes or postcodes with only one digit missing.
• Utilise the different hierarchy levels including postcode area, district and sector for data visualization and analysis on census data collected by specific area in the UK.
• Feed this dataset into a route optimization algorithm so delivery routes can be quickly optimized between different locations using accurate lat-long coordinates from each address

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

See the dataset description for more information.

Columns

File: open_postcode_geo.csv | Column name | Description | |:---------------|:------------------------------| | AB1 0AA | Postcode (String) | | terminated | Terminated postcode (String) | | small | Small postcode (String) | | 385386 | Easting coordinate (Integer) | | 801193 | Northing coordinate (Integer) | | Scotland | Country name (String) | | 57.101474 | Latitude coordinate (Float) | | -2.242851 | Longitude coordinate (Float) | | AB10AA | Postcode area (String) | | AB1 0AA.1 | Postcode district (String) | | AB1 0AA | Postcode sector (String) | | AB1.1 | Postcode area (String) |

Acknowledgements

If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit GetTheData.

Address Lookup Service is a web service providing lookup function on Hong Kong address records in both Chinese and English aggregated from various Government Bureaux/Departments. This web service allows data consumers to look up address records in machine-readable format (XML or JSON) using address element information. It aims to facilitate development of applications with the need to capture Hong Kong address information more efficiently and accurately. The Address Lookup Service provides formatted addresses of the premises in Hong Kong, including private and public housing estates, commercial and industrial buildings, government buildings and offices, markets and shopping centers; and common facilities such as recreation and sports centres. Some addresses provided are representing a complex of buildings, such as schools or universities. Most of the addresses in Address Lookup Service are available in 2-Dimensional format which typically includes up to street name, building number and building name. 3-Dimensional formatted addresses, such as addresses include flat number and floor number, they are only available for public housing estates. For more details, please refer the Data Dictionary. This service also includes unofficial descriptions of buildings which are long established addresses in rural areas of the New Territories and are generally accepted by the public. The choice of name for a building is a matter for the owner, and at present there is no controlling legislation. The inclusion of a building name in this service confers no proprietary right to it or any part of it.