Angola population data
＋ Follow new data17 datasets about population in Angola.
The Census Bureau mapped Angola and Namibia. A variety of spatial datasets were combined with census data and estimates to produce gridded population layers.
Angola administrative level 0-3 boundaries (COD-AB) dataset version 01. This dataset is structured into 3 levels: - Admin 1: 18 Province - Admin 2: 161 Municipality - Admin 3: 539 nan Dates associated with this dataset: - 28 January 2025: dataset reviewed for accuracy and completeness - 04 September 2018: valid for use by the humanitarian community - 30 August 2018: last edit to the dataset before publishing - 30 August 2018: boundaries created by the source Contributed by [OCHA Regional Office for Southern and Eastern Africa (ROSEA)](https://data.humdata.org/organization/ocha-rosea). Quality assured, configured, and published by [OCHA Field Information Services (FIS)](https://data.humdata.org/organization/ocha-fiss) and [HDX](https://data.humdata.org/organization/hdx). Part of the dataset: [Global Subnational Administrative Boundaries](https://data.humdata.org/dataset/cod-ab-global)
Spatial distribution of the population of Angola, showing where people live and in what densities across the country. Use this layer for understanding settlement patterns, sizing infrastructure, planning service delivery, and conducting demographic analysis.
Angola administrative level 0-3 boundaries (COD-AB) dataset version 01. This dataset is structured into 3 levels: - Admin 1: 18 Province - Admin 2: 161 Municipality - Admin 3: 539 nan Dates associated with this dataset: - 28 January 2025: dataset reviewed for accuracy and completeness - 04 September 2018: valid for use by the humanitarian community - 30 August 2018: last edit to the dataset before publishing - 30 August 2018: boundaries created by the source Contributed by [OCHA Regional Office for Southern and Eastern Africa (ROSEA)](https://data.humdata.org/organization/ocha-rosea). Quality assured, configured, and published by [OCHA Field Information Services (FIS)](https://data.humdata.org/organization/ocha-fiss) and [HDX](https://data.humdata.org/organization/hdx). Part of the dataset: [Global Subnational Administrative Boundaries](https://data.humdata.org/dataset/cod-ab-global)
Angola administrative level 0-3 boundaries (COD-AB) dataset version 01. This dataset is structured into 3 levels: - Admin 1: 18 Province - Admin 2: 161 Municipality - Admin 3: 539 nan Dates associated with this dataset: - 28 January 2025: dataset reviewed for accuracy and completeness - 04 September 2018: valid for use by the humanitarian community - 30 August 2018: last edit to the dataset before publishing - 30 August 2018: boundaries created by the source Contributed by [OCHA Regional Office for Southern and Eastern Africa (ROSEA)](https://data.humdata.org/organization/ocha-rosea). Quality assured, configured, and published by [OCHA Field Information Services (FIS)](https://data.humdata.org/organization/ocha-fiss) and [HDX](https://data.humdata.org/organization/hdx). Part of the dataset: [Global Subnational Administrative Boundaries](https://data.humdata.org/dataset/cod-ab-global)
Angola administrative level 0-3 boundaries (COD-AB) dataset version 01. This dataset is structured into 3 levels: - Admin 1: 18 Province - Admin 2: 161 Municipality - Admin 3: 539 nan Dates associated with this dataset: - 28 January 2025: dataset reviewed for accuracy and completeness - 04 September 2018: valid for use by the humanitarian community - 30 August 2018: last edit to the dataset before publishing - 30 August 2018: boundaries created by the source Contributed by [OCHA Regional Office for Southern and Eastern Africa (ROSEA)](https://data.humdata.org/organization/ocha-rosea). Quality assured, configured, and published by [OCHA Field Information Services (FIS)](https://data.humdata.org/organization/ocha-fiss) and [HDX](https://data.humdata.org/organization/hdx). Part of the dataset: [Global Subnational Administrative Boundaries](https://data.humdata.org/dataset/cod-ab-global)
Angola administrative level 0-3 boundaries (COD-AB) dataset version 01. This dataset is structured into 3 levels: - Admin 1: 18 Province - Admin 2: 161 Municipality - Admin 3: 539 nan Dates associated with this dataset: - 28 January 2025: dataset reviewed for accuracy and completeness - 04 September 2018: valid for use by the humanitarian community - 30 August 2018: last edit to the dataset before publishing - 30 August 2018: boundaries created by the source Contributed by [OCHA Regional Office for Southern and Eastern Africa (ROSEA)](https://data.humdata.org/organization/ocha-rosea). Quality assured, configured, and published by [OCHA Field Information Services (FIS)](https://data.humdata.org/organization/ocha-fiss) and [HDX](https://data.humdata.org/organization/hdx). Part of the dataset: [Global Subnational Administrative Boundaries](https://data.humdata.org/dataset/cod-ab-global)
A 1 km population raster for Angola published by Orion Terrametrics. Each cell holds a population value for the year 2020.
Angola administrative level 0-3 boundaries (COD-AB) dataset version 01. This dataset is structured into 3 levels: - Admin 1: 18 Province - Admin 2: 161 Municipality - Admin 3: 539 nan Dates associated with this dataset: - 28 January 2025: dataset reviewed for accuracy and completeness - 04 September 2018: valid for use by the humanitarian community - 30 August 2018: last edit to the dataset before publishing - 30 August 2018: boundaries created by the source Contributed by [OCHA Regional Office for Southern and Eastern Africa (ROSEA)](https://data.humdata.org/organization/ocha-rosea). Quality assured, configured, and published by [OCHA Field Information Services (FIS)](https://data.humdata.org/organization/ocha-fiss) and [HDX](https://data.humdata.org/organization/hdx). Part of the dataset: [Global Subnational Administrative Boundaries](https://data.humdata.org/dataset/cod-ab-global)
A 100 m population raster for Angola published by Orion Terrametrics. Each cell holds a population value for the year 2015.
Open and free data for assessing the human presence on the planet. The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources. The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.
This dataset contains administrative polygons grouped by country (admin-0) with the following subdivisions according to Who's On First placetypes: - macroregion (admin-1 including region) - region (admin-2 including state, province, department, governorate) - macrocounty (admin-3 including arrondissement) - county (admin-4 including prefecture, sub-prefecture, regency, canton, commune) - localadmin (admin-5 including municipality, local government area, unitary authority, commune, suburb) The dataset also contains human settlement points and polygons for: - localities (city, town, and village) - neighbourhoods (borough, macrohood, neighbourhood, microhood) The dataset covers activities carried out by Who's On First (WOF) since 2015. Global administrative boundaries and human settlements are aggregated and standardized from hundreds of sources and available with an open CC-BY license. Who's On First data is updated on an as-need basis for individual places with annual sprints focused on improving specific countries or placetypes. Please refer to the README.md file for complete data source metadata. Refer to our blog post for explanation of field names. Data corrections can be proposed using Write Field, an web app for making quick data edits. You’ll need a Github.com account to login and propose edits, which are then reviewed by the Who's On First community using the Github pull request process. Approved changes are available for download within 24-hours. Please contact WOF admin about bulk edits.
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