Updated Continually

The most accurate and up-to-date database for point addressing, with over 270 million precise point addresses in 70 countries.

Geocoding available in 196 countries, with high-precision mapping of display or navigable positions. Input a structured or free-form address to get results ranked by relevance or proximity.

Reverse Geocoding: Get a physical address from a set of geocoordinates. Use heading information to understand direction of movement, and get addresses, landmarks or area information around a position.

Search data: Search a rich database of ~120M POIs/places, that is updated daily, and interact with Places rich attributes covering information from name and category, to price range, contact and URLs.

Autosuggest: Get better suggestions with fewer strokes for places, addresses, chain queries or category queries, as well as provide search text matches with or without spatial filters.

This Africa Geocoding locator is a view of the World Geocoding Service constrained to search for places in the countries of Africa. The World Geocoding Service finds addresses and places in all supported countries around the world in a single geocoding service. The service can find point locations of addresses, cities, landmarks, business names, and other places. The output points can be visualized on a map, inserted as stops for a route, or loaded as input for a spatial analysis.The service is available as both a geosearch and geocoding service:Geosearch Services – The primary purpose of geosearch services is to locate a feature or point of interest and then have the map zoom to that location. The result might be displayed on the map, but the result is not stored in any way for later use. Requests of this type do not require a subscription or a credit fee. Geocoding Services – The primary purpose of geocoding services is to convert an address to an x,y coordinate and append the result to an existing record in a database. Mapping is not always involved, but placing the results on a map may be part of a workflow. Batch geocoding falls into this category. Geocoding requires a subscription. An ArcGIS Online subscription will provide you access to the World Geocoding service for batch geocoding.The service can be used to find address and places for many countries around the world. For detailed information on this service, including a data coverage map, visit the World Geocoding service documentation.

The ArcGIS World Geocoding Service finds addresses and places in all supported countries around the world in a single geocoding service. The service can find point locations of addresses, cities, landmarks, business names, and other places. The output points can be visualized on a map, inserted as stops for a route, or loaded as input for a spatial analysis.The service is available as both a geosearch and geocoding service:Geosearch Services – The primary purpose of geosearch services is to locate a feature or point of interest and then have the map zoom to that location. The result might be displayed on the map, but the result is not stored in any way for later use. Requests of this type do not require a subscription or a credit fee. Geocoding Services – The primary purpose of geocoding services is to convert an address to an x,y coordinate and append the result to an existing record in a database. Mapping is not always involved, but placing the results on a map may be part of a workflow. Batch geocoding falls into this category. Geocoding requires a subscription. An ArcGIS Online Subscription, or ArcGIS Location Platform Subscription, will provide you access to the ArcGIS World Geocoding service for batch geocoding.The service can be used to find address and places for many countries around the world. For detailed information on this service, including a data coverage map, visit the ArcGIS World Geocoding service documentation.

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.

A comprehensive self-hosted geospatial database of street names, coordinates, and address data ranges for Enterprise use. The address data are georeferenced with industry-standard WGS84 coordinates (geocoding).

All geospatial data are provided in the official local languages. Names and other data in non-Roman languages are also made available in English through translations and transliterations.

Use cases for the Global Address Database (Geospatial data)

• Address capture and validation

• Parcel delivery

• Master Data Management

• Logistics and Shipping

• Sales and Marketing

Additional features

• Fully and accurately geocoded

• Multi-language support

• Address ranges for streets covered by several zip codes

• Comprehensive city definitions across countries

• Administrative areas with a level range of 0-4

• International Address Formats

For additional insights, you can combine the map data with:

• UNLOCODE and IATA codes (geocoded)

• Time zones and Daylight Saving Time (DST)

• Population data: Past and future trends

Data export methodology

Our location data packages are offered in CSV format. All geospatial data are optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more.

Why companies choose our location databases

• Enterprise-grade service

• Reduce integration time and cost by 30%

• Frequent, consistent updates for the highest quality

Note: Custom geospatial data packages are available. Please submit a request via the above contact button for more details.

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

A comprehensive self-hosted geospatial database of international address data, including street names, coordinates, and address data ranges for Enterprise use. The address data are georeferenced with industry-standard WGS84 coordinates (geocoding).

All address data are provided in the official local languages. Names and other data in non-Roman languages are also made available in English through translations and transliterations.

Use cases for the Global Address Database (Geospatial data/Map Data)

• Address Data Enrichment

• Address capture and validation

• Parcel delivery

• Master Data Management

• Logistics and Shipping

• Sales and Marketing

Product Features

• Fully and accurately geocoded

• Multi-language support

• Address ranges for streets covered by several zip codes

• Comprehensive city definitions across countries

• Administrative areas with a level range of 0-4

• International Address Formats

For additional insights, you can combine the map data with:

• UNLOCODE and IATA codes (geocoded)

• Time zones and Daylight Saving Time (DST)

• Population data: Past and future trends

Data export methodology

Our address data enrichment packages are offered in CSV format. All international address data are optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more.

Why do companies choose our location databases

• Enterprise-grade service

• Reduce integration time and cost by 30%

• Frequent, consistent updates for the highest quality

Note: Custom international address data packages are available. Please submit a request via the above contact button for more details.

The MAR Web Geocoder is a web browser-based tool for geocoding locations, typically addresses, in Washington, DC. It is developed by the Office of Chief Technology Officer (OCTO) and can input Excel or CSV files to output an Excel file. Geocoding is the process of assigning a location in the form of geographic coordinates (often expressed as latitude and longitude) to spreadsheet data. This is done by comparing the descriptive geographic data to known geographic locations such as addresses, blocks, intersections, or place names.

Vermont composite geocoding service built with VT E911 data. This service can be used by ArcGIS Pro 2.8.x+ to batch geocode addresses stored in a table. It also can be used as a geocoder with most ArcGIS Online apps, as well as QGIS. [How To Use The Vermont Geocoding Service]This ArcGIS Online item utilizes the ArcGIS Server geocoding service at this REST Endpoint: https://maps.vcgi.vermont.gov/arcgis/rest/services/EGC_services/GCS_E911_COMPOSITE_SP_v2/GeocodeServer

Context

The data is gathered as part of my work to build a quick and dirty embedded reverse geocoding database for my mobile application.

Content

Lists of Malaysian States, District and City, together with their GPS coordinates, latitude and longitude

Acknowledgements

I would like to thank my associates and various trainees at RICAEN office at Universiti Teknologi MARA (Perlis), Malaysia for their help in gathering the information.

Inspiration

The data can be combined together with other data to determine the nearest City, District or States. It can also be used together with kNN algorithm or kd-tree or an experiments to build a localized reverse geocoder

Geocoding services allow users to find discrete point locations from address data. The FirstMap geocoder searches multiple sources of data, including e911 and road centerline data that are provided by each county, to find the closest match.

Address Points dataset current as of 2011. Address point database built to support geocoding and spatial 911 CAD.

Please refer to the README file.

Geocoding API Market Outlook

According to our latest research, the global Geocoding API market size reached USD 1.45 billion in 2024, reflecting robust demand across diverse industries. The market is expected to grow at a CAGR of 13.2% from 2025 to 2033, with the total market value forecasted to reach USD 4.22 billion by 2033. This remarkable growth is primarily driven by the surging adoption of location-based services, the proliferation of IoT devices, and the increasing need for real-time geospatial analytics. As per our latest research, the Geocoding API market is witnessing transformative shifts owing to advancements in cloud computing, machine learning integration, and the expanding scope of digital transformation initiatives globally.

A primary growth factor for the Geocoding API market is the exponential rise in mobile device usage and the integration of geospatial data in everyday applications. Modern businesses, from retail to logistics, are increasingly relying on geocoding solutions to enhance operational efficiency, optimize delivery routes, and improve customer engagement through personalized location-based services. The widespread adoption of smartphones and the ubiquity of GPS-enabled devices have made geospatial data a critical asset, fueling the demand for robust and scalable Geocoding APIs. This trend is further reinforced by the growing popularity of ride-sharing, food delivery, and other on-demand services that require precise location mapping and real-time address resolution.

Another significant driver is the rapid digital transformation across industries, which necessitates the integration of advanced mapping and geospatial analytics into enterprise workflows. Organizations in sectors such as transportation, real estate, and government are leveraging Geocoding APIs to streamline asset tracking, urban planning, and emergency response systems. The ability to convert physical addresses into geographic coordinates and vice versa enables businesses to gain actionable insights, enhance resource allocation, and deliver superior customer experiences. Moreover, the proliferation of big data and IoT devices has intensified the need for real-time, accurate geospatial information, further propelling the adoption of Geocoding API solutions.

The evolution of cloud computing and advancements in artificial intelligence are also catalyzing the growth of the Geocoding API market. Cloud-based deployment models offer unparalleled scalability, cost-effectiveness, and ease of integration, making them the preferred choice for enterprises of all sizes. Additionally, the integration of AI and machine learning algorithms into geocoding platforms has significantly improved the accuracy, speed, and contextual relevance of geospatial data processing. These technological advancements are enabling organizations to unlock new use cases, such as predictive analytics, geofencing, and automated asset management, thereby expanding the addressable market for Geocoding APIs.

In the context of these technological advancements, the role of Location Verification API has become increasingly significant. This API facilitates the accurate verification of physical addresses, ensuring that businesses and services can reliably reach their intended destinations. By integrating Location Verification API into their operations, companies can enhance the precision of their geocoding processes, reducing errors and improving customer satisfaction. This is particularly crucial for industries such as logistics and delivery services, where the timely and accurate delivery of goods is paramount. The API not only supports the validation of addresses but also assists in maintaining up-to-date location databases, which is essential for real-time geospatial analytics and decision-making.

From a regional perspective, North America continues to dominate the Geocoding API market, accounting for a substantial share of global revenues in 2024. The region's leadership is underpinned by the presence of major technology vendors, high digital adoption rates, and a mature ecosystem for location-based services. Europe and Asia Pacific are also witnessing robust growth, fueled by increasing investments in smart city initiatives, expanding e-commerce sectors, and government-led digitalization programs. The Asia Pacific region, in particular, is poised for the faste

Address Geocoding Software Market Outlook

According to our latest research, the global address geocoding software market size reached USD 1.42 billion in 2024, reflecting robust adoption across diverse sectors. The market is poised for significant expansion, projected to reach USD 3.78 billion by 2033 at a compound annual growth rate (CAGR) of 11.4% during the forecast period. This impressive growth is primarily fueled by the increasing need for precise geospatial data in business operations, urban planning, and real-time service delivery.

One of the primary growth factors driving the address geocoding software market is the rapid proliferation of digital transformation initiatives across sectors such as retail, logistics, and government. As organizations increasingly rely on data-driven decision-making, the demand for accurate geocoding solutions has soared. Businesses are leveraging address geocoding software to enhance customer experience through precise delivery locations, targeted marketing, and location-based analytics. The surge in e-commerce and last-mile delivery services, especially post-pandemic, has further amplified the need for robust address validation and geospatial intelligence, ensuring operational efficiency and customer satisfaction. Additionally, advancements in artificial intelligence and machine learning are enabling geocoding solutions to deliver higher accuracy, automate data cleaning, and provide real-time updates, making them indispensable for modern enterprises.

Another significant factor contributing to the market’s growth is the increasing adoption of cloud-based deployment models. Cloud-based address geocoding software offers scalability, flexibility, and cost-effectiveness, making it accessible to both large enterprises and small and medium-sized businesses. The cloud model supports seamless integration with existing IT infrastructure and third-party applications, enabling organizations to rapidly deploy geocoding capabilities without heavy upfront investments. Furthermore, cloud solutions facilitate remote access and real-time collaboration, which are essential in today’s distributed work environments. As organizations continue to prioritize agility and digital connectivity, the shift toward cloud-based geocoding platforms is expected to accelerate, driving further market expansion.

The integration of address geocoding software in critical applications such as emergency response, asset management, and urban planning is also fueling market growth. Governments and public safety agencies are increasingly deploying geocoding solutions to enhance emergency response times, optimize resource allocation, and improve public services. Accurate geocoding enables first responders to pinpoint exact locations, reducing response times and potentially saving lives. In asset management, organizations utilize geocoding to track assets, manage infrastructure, and optimize maintenance schedules. Urban planners leverage geospatial data for smart city initiatives, zoning, and infrastructure development. These diverse applications underscore the essential role of address geocoding software in supporting efficient, data-driven operations across both public and private sectors.

From a regional perspective, North America continues to dominate the address geocoding software market, driven by advanced technological adoption, the presence of major vendors, and strong demand across industries such as BFSI, retail, and logistics. Europe follows closely, with significant investments in smart city projects and digital infrastructure. The Asia Pacific region is emerging as a high-growth market, propelled by rapid urbanization, expanding e-commerce, and increasing government initiatives to enhance digital services. Latin America and the Middle East & Africa are also witnessing steady growth, albeit at a slower pace, as organizations in these regions gradually embrace geospatial technologies. The global outlook remains optimistic, with technological advancements and expanding use cases set to drive sustained growth through 2033.

The datasets presented here enable historical longitudinal studies of micro-level geographic factors in a rural setting. These types of datasets are new, as historical demography studies have generally failed to properly include the micro-level geographic factors. Our datasets describe the geography over five Swedish rural parishes and a geocoded population (at the property unit level) for this area for the time period 1813-1914. The population is a subset of the Scanian Economic Demographic Database (SEDD). The geographic information includes the following feature types: property units, wetlands, buildings, roads and railroads. The property units and wetlands are stored in object-lifeline time representations (information about creation, changes and ends of objects are recorded in time), whereas the other feature types are stored as snapshots in time. Thus, the datasets present one of the first opportunities to study historical spatio-temporal patterns at the micro-level.

Provides services for converting addresses into coordinates. You can use the geocoding service by sending the request URL, and the maximum number of geocoding requests per day is 40,000. However, API requests must be used in real time and cannot be stored in a separate storage device or database.

Geo-Disasters is a dataset that provides the geocoding for climate-related disasters reported in the international EM-DAT database for the period 1990–2023. It is based on the Gloabl Administrative Unit Layers (GAUL) administrative units, it assigns quality flags, and contains two GeoPackage layers covering the subnational (45,121 polygons) and national (9,217 events) levels.

The Polygons were simplified with Douglas-Peucker (tol = 0.005°) and stored in EPSG 4326. Each event carries a four-level geocoding quality flag. The Boundaries are derived from GAUL 2015 and distributed under the GAUL Data Licence (non-commercial).

All details about the dataset are presented in our paper, please cite it when using the data:
Teber, K., Weynants, M., Gans, F. & Mahecha, M. D. Geo-Disasters: Geocoding climate-related events in the international disaster database EM-DAT. published at Big Earth Data, at https://doi.org/10.1080/20964471.2025.2576274 (2025).

Code is available at: https://doi.org/10.6084/m9.figshare.29125907.v1 (snapshot version)

The files included are:

• disaster_national_90_23.gpkg: Individual Subnational Locations (separate polygons).
• disaster_subnational_90_23.gpkg: Aggregated event footprints.
• README_DATA.txt: Metadata file
• DataLicenseGAUL2015.pdf: Use and reuse license
• SHA256SUMS.txt: machine-readable list of checksums

Metadata

Spatial extent: Lon: -180, 180; -90, 90 (xmin, xmax, ymin, ymax)

Coordinate ref system: EPSG:4326 - WGS 84

Temporal coverage: 1990 to 2023

Format: gpkg

This dataset geolocates Chinese Government-financed projects that were implemented between 2000-2014. It captures 3,485 projects worth $273.6 billion in total official financing. The dataset includes both Chinese aid and non-concessional official financing.