This geocoding service provides the ability to perform tabular geocoding, reverse geocoding, and identifying results for locations that contain sub-addresses. This service and the supporting data are provided by the AddressNC program.A geocoding locator file is also available for users of ArcGIS Pro or ArcGIS Desktop in an offline/disconnected environment.

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 May 2025 release

• Nationally, the May 2025 update of G-NAF shows an overall increase of 47,194 addresses (0.30%). The total number of addresses in G-NAF now stands at 15,753,927 of which 14,909,770 or 94.64% are principal.

• At some locations, there are unit-numbered addresses that appear to be duplicate addresses. Geoscape is working to identify these locations and include these addresses as separate addresses in G-NAF. To facilitate this process, some secondary addresses have had the word RETAIL added to their building names. In the first instance, this process is being progressively rolled out to identified locations, but it is expected that the requirement for this will become ongoing.

• There is one new locality in G-NAF: Keswick Island, QLD.

• The source data used for generating G-NAF STREET_LOCALITY_POINT data in New South Wales has an updated datum and changed from GDA94 to GDA2020. This has resulted in updates to the STREET_LOCALITY_POINT geometry for approximately 91,000 records, however, more than 95% of these have moved less than a metre.

• 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.

The size of the worldwide location analytics market was estimated at $10.34 billion in 2023 and is anticipated to grow at a CAGR of 17.5% from 2023 to 2030 to reach $33.13 billion. Market size, growth, share

Global Location Analytics Software market size 2025 was XX Million. Location Analytics Software Industry compound annual growth rate (CAGR) will be XX% from 2025 till 2033.

Context

Reverse geocoding request and response (address lookup) of data from a dataset for a class.

Content

Formatted Response from Google

Acknowledgements

Google Maps Platform API WGU

The digital map market is experiencing robust growth, projected to reach a market size of $9.05 billion in 2025 and expanding at a compound annual growth rate (CAGR) of 26.06%. This significant expansion is driven by several key factors. The increasing adoption of location-based services (LBS) across various sectors, including automotive, logistics, and e-commerce, fuels demand for accurate and comprehensive digital maps. Advancements in technologies like AI and machine learning are enhancing map accuracy, functionality, and personalization, further stimulating market growth. Furthermore, the rising penetration of smartphones and connected devices provides a readily available platform for digital map usage. The integration of digital maps into autonomous vehicle technology is another major driver, promising substantial future growth. Competition is fierce, with established players like Google, TomTom, and HERE Technologies vying for market share alongside emerging innovative companies offering specialized solutions. Market segmentation reveals a strong emphasis on navigation applications, reflecting the pervasive use of digital maps for route planning and guidance. Geocoding services, which convert addresses into geographical coordinates, also constitute a substantial market segment. While North America currently holds a significant market share due to early adoption and technological advancements, the Asia-Pacific region is expected to witness the fastest growth, propelled by rapid urbanization and increasing smartphone penetration in countries like India and China. However, challenges remain, including data privacy concerns, the need for continuous map updates to maintain accuracy, and the high cost of data acquisition and processing. Despite these restraints, the long-term outlook for the digital map market remains positive, with continued technological innovation and expanding applications promising sustained growth throughout the forecast period (2025-2033).

The Geocode Job extension for CKAN enables users to automatically geocode resources by scheduling a background job. By using a specified metadata field, this extension triggers a process that attaches or updates geographic coordinates for a dataset's resources. This automation enhances the value of datasets by making them discoverable and usable in location-based applications. This is especially useful for datasets containing address or location information that requires conversion and integration with mapping software and services. Key Features: Automated Geocoding: Automatically geocodes resources. Metadata Field Trigger: Initiates geocoding process based on the presence or update of a designated metadata field and value. Background Processing: Executes geocoding tasks in the background, ensuring a smooth user experience without interrupting normal CKAN operation. Specifically this avoids delaying interaction with the user interface. Resource Attachment/Update: Attaches geographic coordinates (latitude/longitude) to existing resources or updates them if already present and updated. Use Cases: Address-Based Datasets: Enhance datasets containing street addresses by automatically converting them to geographic coordinates. Location-Based Services: Integrate datasets with location-based services by providing accurate geographic data. Data Enrichment: Automatically add geographic context to datasets, making them more valuable and usable for mapping and spatial analysis. Benefits & Impact: The Geocode Job extension simplifies the process of enriching datasets with geographic information, improving their discoverability and usability. Scheduling background geocoding operations reduces the manual effort involved in data preparation, saving time and resources. This will therefore make such datasets more discoverable within the CKAN catalog. By automating the process, the extension helps to maintain accurate and up-to-date geographic data within the CKAN repository.

The GeoPinpoint Suite software attaches geographic coordinates to records in a client database by means of matching certain database fields against a DMTI proprietary geo-reference database. The geo- reference database is comprised of digital street geometry, street address ranges, postal coordinates, point of interest and other reference databases to ensure that data is “geocoded” as accurately as possible. When data is “geocoded”, co-ordinates can be transferred into a Geographic Information Systems (GIS) such as MapInfo, ArcInfo, ArcView and other software systems that support the importation of geographic co-ordinate locations. GeoPinpointTM Suite positions your data using a powerful and innovative geo-location process called geocoding. GeoPinpoint Suite attaches X and Y coordinates to your facility, customer or prospect address data for map visualization, analysis or location based applications. The GeoPinpoint Suite takes advantage of a new modular design that allows the software to encompass future module enhancements without jeopardizing its performance or usability. Based on the nationwide precision and the robust street address content of CanMap® Streetfiles, GeoPinpoint Suite has been engineered to geocode your data with a high degree of accuracy.

Point geometry feature class representing known regulated health facilities in Colorado, developed directly from address information obtained directly from the Health Facilities and Emergency Medical Services Division of the Colorado Department of Public Health and Environment in January of 2017. Coordinate locations (latitude/longitude) were derived from the known street addresses of health facilities using a combination of Centrus MapMarker geocoding software and Google Earth imagery locations. This file was developed for use in activities and exercises within the Colorado Department of Public Health and Environment.

A Feature web service of the Address Point file of buildings and properties in New York State. Please note that, due to the large size, the NYS Address Point statewide layer cannot be downloaded in shapefile format. A map service of the Street and Address Maintenance (SAM) Program Address Point file is available here: https://gisservices.its.ny.gov/arcgis/rest/services.SAM Address Points Data Dictionary: https://gis.ny.gov/system/files/documents/2024/02/address-points-data-dictionary.pdf. If the purpose of accessing the address points service is for geocoding, NYS ITS has a publicly available geocoding service which includes the address points along with other layers. For more information about the geocoding service, please visit: https://gis.ny.gov/address-geocoder. For more information about the SAM Program, please visit: https://gis.ny.gov/streets-addresses.Please contact NYS ITS Geospatial Services at nysgis@its.ny.gov if you have any questions. Publication Date: See Update Frequency. Current as of Date: 2 business days prior to Publication Date. Update frequency: Second and fourth Friday of each month. Spatial Reference of Source Data: NAD_1983_UTM_Zone_18N. Spatial Reference of Map Service: WGS 1984 Web Mercator Auxiliary.This feature service is available to the public.

Point geometry feature class representing known Air Ambulance agencies in Colorado, developed directly from address information obtained directly from the Health Facilities and Emergency Medical Services Division of the Colorado Department of Public Health and Environment. Coordinate locations (latitude/longitude) were derived from the known street addresses of agencies using a combination of MapMarker geocoding software and Google Earth imagery locations. This file was developed for use in activities and exercises within the Colorado Department of Public Health and Environment. Last updated in April 2019.

Location Intelligence Market is Segmented by Component (Software and Services), Solution Type (Geocoding and Reverse, Geocoding, and More), Location Type (Indoor and Outdoor), Deployment (Cloud and On-Premise), Application (Workforce Management, Asset Management and More), End-User Vertical (Retail and Consumer Goods, Government and Defense, and More) and by Geography. The Market Forecasts are Provided in Terms of Value (USD).

Point geometry feature class representing known Colorado Drug Treatment Program Resource locations (Methadone Clinics and Narcotic Addiction Treatment Programs), developed directly from address information obtained directly from the Office of Emergency Preparedness and Response, Colorado Department of Public Health and Environment, in 2017. Coordinate locations (latitude/longitude) were derived from the known street addresses of health facilities using a combination of Centrus MapMarker geocoding software and Google Earth imagery locations. This file was developed for use in activities and exercises within the Colorado Department of Public Health and Environment.

Point geometry feature class representing known Emergency Medical Services (EMS) and Ambulance agencies in Colorado, developed directly from address information obtained directly from the Health Facilities and Emergency Medical Services Division of the Colorado Department of Public Health and Environment. Coordinate locations (latitude/longitude) were derived from the known street addresses of agencies using a combination of MapMarker geocoding software and Google Earth imagery locations. This file was developed for use in activities and exercises within the Colorado Department of Public Health and Environment. Updated April 2019.

AddressNC has been prioritized by the North Carolina Geographic Information Coordinating Council (GICC) as a critical framework dataset. The AddressNC Program runs parallel to and is derived from the North Carolina 911 Board Next Generation 911 (NG911) Program.  Address data has been identified as mission critical for validation and accurate call routing within NG911 and the AddressNC Program completes a full-circle approach of address maintenance and sustainability through applied enhancements and quality control beyond 911 requirements.  A primary goal of AddressNC is to continually develop and maintain quality address points on a continuous cycle through updates published in NG911. Various agencies in federal, state, and local government can benefit by applying practical applications of quality addressing in their own programs, negating the need to rely on outdated statewide addressing data and/or using paid address data sets from third party sources.

Point geometry feature class representing Colorado public school and private school locations along with the locations of school district offices, developed directly from address information obtained from the Colorado Department of Education in 2022. Coordinate locations (latitude/longitude) were derived from the known street addresses of health facilities using a combination of Centrus MapMarker geocoding software and Google Earth imagery locations. This file was developed by the Colorado Department of Public Health and Environment for use in program activities and emergency preparedness exercises.

AddressNC has been prioritized by the North Carolina Geographic Information Coordinating Council (GICC) as a critical framework dataset. The AddressNC Program runs parallel to and is derived from the North Carolina 911 Board Next Generation 911 (NG911) Program.  Address data has been identified as mission critical for validation and accurate call routing within NG911 and the AddressNC Program completes a full-circle approach of address maintenance and sustainability through applied enhancements and quality control beyond 911 requirements.  A primary goal of AddressNC is to continually develop and maintain quality address points on a continuous cycle through updates published in NG911. Various agencies in federal, state, and local government can benefit by applying practical applications of quality addressing in their own programs, negating the need to rely on outdated statewide addressing data and/or using paid address data sets from third party sources.

SummaryThis data set shows building permits for the Baltimore metropolitan region. The data goes back to 2000 and is updated approximately once every two months. Expanded building permit data can be found at https://www.baltometro.org/community/data-maps/building-permit-data.DescriptionThe permits include any permit that is use code 40-48 (most new residential), 60-65 (mixed use), or is greater than or equal to $50,000. Historically, BMC receives the permits from participating jurisdictions and geocodes them. In recent years, some jurisdictions have started geocoding their own permits. When this is the case, BMC incorporates the geocoded points as given, and does not include them in its own geocoding process.Expanded building permit data can be found at https://www.baltometro.org/community/data-maps/building-permit-data.Layers:BPDS_Residential_New_ConstructionBPDS_Residential_AlterationsBPDS_Non_Residential_New_ConstructionBPDS_ Non_Residential _AlterationsBPDS_Mixed_Use_New_ConstructionThere is no layer for Mixed Use alterations; alterations to Mixed Use always get classified as Residential or Non-Residential.Field NamesField Name (alias)Descriptionpermit_no (County Permit ID)Original permit ID provided by the jurisdictionissue_dt (Date Permit Was Issued)Date the permit was issuedxcoord (X Coordinate)Longitude, in NAD 1983 decimal degreesycoord (Y Coordinate)Latitude, in NAD 1983 decimal degreessite_addr (Site Address)Address of the constructionzipcode (Site Zipcode)Zipcode of the constructionoffice (Office Number)This number corresponds to a jurisdiction and is used for BMC administrative recordspmt_use (Permit Use)Permit use code. A list of the values can be found at https://gis.baltometro.org/Application/BPDS/docs/BPDS_Permit_Use_Codes.pdfpmt_type (Permit Type)Permit type code. A list of the values can be found at https://gis.baltometro.org/Application/BPDS/docs/BPDS_Permit_Use_Codes.pdfdevelopment_name (Development Name / Subdivision)Subdivision name, if providedunit_count (Number of Units)Number of units, if provided. Only found in residential recordstenure (Tenure)If provided, indicates whether building is expected to be for rent or for sale after construction is complete. 1=For Rent, 2=For Saleamount (Amount)Estimated cost of constructionpmt_cat (Permit Category)Simplified classification of the pmt_use and pmt_type fieldsdescrip (Description)Description of construction, if providedJurisdiction (Jurisdiction)Jurisdiction (a county or city)Update CycleThe data is updated approximately once every three months.User NoteOver the years, building permit points were geocoded using a variety of software and reference data. The Baltimore Metropolitan Council made every effort to ensure accurate geocoding however there may be inaccuracies or inconsistencies in how the points were placed. For best results, the Baltimore Metropolitan Council recommends aggregating the building permit points to a larger geography (ex. Census tract, zip code) when analyzing the data.Data Access InstructionsTo download the data or access it via API, visit https://gisdata.baltometro.org/.Technical ContactFor questions or comments, contact Erin Bolton, GIS Coordinator, at ebolton@baltometro.org or 410-732-0500.

Context

COVID‑19 mobility trends in countries/regions and cities.

Visualization

Example Animated Simulation/Visualization for Mobility data trend can be found at: https://covid19-mobility.netlify.app/

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F4802460%2F7533e73654a0de3af312be402aa2383a%2Fmobility_2.gif?generation=1588577316142432&alt=media" alt="">

Content

Added geo, ISO 3166, and wikidata-id Information to make it easier to analyze and cross-reference the mobility data rows.

New rows for Apple Mobility Data:

wikidata: Wikidata ids, that can be used to get to page such as https://www.wikidata.org/wiki/Q123709
lat: Latitude of Geo coordinate
lng: Longitude of Geo coordinate
short-code: abbrev code for the region
iso_3166_alpha_2: Alpha 2 form of ISO 3166 code
iso_3166_alpha_3: Alpha 3 form of ISO 3166 code
iso_3166_numeric: Numeric form of ISO 3166 code

New rows for Google Mobility Data:

wikidata: Wikidata ids, that can be used to get to page such as https://www.wikidata.org/wiki/Q123709
lat: Latitude of Geo coordinate
lng: Longitude of Geo coordinate
short-code: abbrev code for the region

Acknowledgements

Sources: https://www.apple.com/covid19/mobility https://www.google.com/covid19/mobility/

Thanks Mapbox for Geocoding API

Inspiration

How did global mobility change over time in response to Covid-19

Point geometry feature class representing Community Behavioral Health Centers and Resource locations, developed directly from address information obtained directly from the Office of Emergency Preparedness and Response, Colorado Department of Public Health and Environment, in 2017. Coordinate locations (latitude/longitude) were derived from the known street addresses of health facilities using a combination of Centrus MapMarker geocoding software and Google Earth imagery locations. This file was developed for use in activities and exercises within the Colorado Department of Public Health and Environment.