Afghanistan GIS data
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geoBoundaries ADM0 boundaries for Afghanistan: 1 units, representing 2014. Source: geoBoundaries, ArcGIS Hub. license was officially a custom license simply described as open on ArcGIS Hub. No other restrictions were included so collector decided on public domain as the official license.
geoBoundaries ADM1 boundaries for Afghanistan: 34 units, representing 2007. Source: Wikimedia, geoBoundaries.
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 the following administrative boundaries: ADM0, ADM1, ADM2. Produced and maintained since 2017, the geoBoundaries Global Database of Political Administrative Boundaries Database www.geoboundaries.org is an open license, standardized resource of boundaries (i.e., state, county) for every country in the world.
The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived. Afghanistan Near Term Projection FEWS NET Acute Food Insecurity Classifications Geographic data for 2018
The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived. Afghanistan Current Situation FEWS NET Acute Food Insecurity Classifications Geographic data for 2017
The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived. Afghanistan Near Term Projection FEWS NET Acute Food Insecurity Classifications Geographic data for 2013
The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived. Afghanistan Near Term Projection FEWS NET Acute Food Insecurity Classifications Geographic data for 2015
The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived. Afghanistan Near Term Projection FEWS NET Acute Food Insecurity Classifications Geographic data for 2019
The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived. Afghanistan Current Situation FEWS NET Acute Food Insecurity Classifications Geographic data for 2013
The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived. Afghanistan Near Term Projection FEWS NET Acute Food Insecurity Classifications Geographic data for 2011
The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived. Afghanistan Current Situation FEWS NET Acute Food Insecurity Classifications Geographic data for 2016
The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived. Afghanistan Medium Term Projection FEWS NET Acute Food Insecurity Classifications Geographic data for 2014
The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived. Afghanistan Medium Term Projection FEWS NET Acute Food Insecurity Classifications Geographic data for 2011
This dataset provides detailed information on road surfaces from OpenStreetMap (OSM), distinguishing between **paved** and **unpaved** roads across the region. Surface classification is derived using a hybrid deep learning approach. For methodological details, see: http://arxiv.org/abs/2410.19874 Recently, we also published a new country-level dataset based on PlanetScope satellite imagery with near-complete coverage of all arterial roads. It is available on HDX under the name Afghanistan **Planet** Road Surface. The corresponding paper is available at: https://arxiv.org/abs/2512.04092 Road Surface Statistics Approximately 0.2602 million km of roads are mapped in OSM in this region. Based on AI-derived estimates: - Paved roads: 0.0143 million km (5.491%) - Unpaved roads: 0.1565 million km (60.1302%) About 0.0895 million km (34.3788%) of road surface information is missing in OSM. To reduce this gap, the Mapillary-derived road surface dataset provides an additional 0.0001 million km (0.0708%) of the missing surface information. Intended Use This dataset supports transportation planning, infrastructure analysis, climate emissions assessment, and GIS applications. AI Features - **pred_class**: Model-predicted surface class ("paved" or "unpaved") - **pred_label**: Binary label (0 = paved, 1 = unpaved) - **osm_surface_class**: Surface classification derived from OSM tags - **combined_surface_osm_priority**: Combined classification prioritizing OSM - **combined_surface_DL_priority**: Combined classification prioritizing DL prediction - **n_of_predictions_used**: Number of predictions used for estimation - **predicted_length**: Predicted length based on DL estimation (meters) - **DL_mean_timestamp**: Mean timestamp of predictions used OSM Attributes - **name** - **name:en** - **name:* (local language)** - **highway** - **surface** - **smoothness** - **width** - **lanes** - **oneway** - **bridge** - **layer** - **source** Urban Classification Attributes - **continent** - **country_iso_a2** - **urban** (0 = rural, 1 = urban) - **urban_area** - **osm_id** - **osm_type** Data Sources The dataset originates from OpenStreetMap (OSM) and is augmented with deep learning predictions based on Mapillary street-level imagery, combined with the GHSU Global Human Settlement Urban Layer 2019 and AFRICAPOLIS 2020 urban layer. More HeiGIT datasets: https://data.humdata.org/organization/heidelberg-institute-for-geoinformation-technology More information: https://heigit.org/ Contact: communications@heigit.org
The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived. Afghanistan Medium Term Projection FEWS NET Acute Food Insecurity Classifications Geographic data for 2013
The International Best Track Archive for Climate Stewardship (IBTrACS) project is the most complete global collection of tropical cyclones available. It merges recent and historical tropical cyclone data from multiple agencies to create a unified, publicly available, best-track dataset that improves inter-agency comparisons. Fields available: SID: A unique storm identifier (SID) assigned by IBTrACS algorithm. ISO_TIME: Time of the observation in ISO format (YYYY-MM-DD hh:mm:ss) BASIN: Basin of the current storm position SUBBASIN: Sub-basin of the current storm position NATURE: Type of storm (a combination of the various types from the available sources) NUMBER: Number of the storm for the year (restarts at 1 for each year LAT: Mean position - latitude (a combination of the available positions) LON: Mean position - longitude (a combination of the available positions) WMO_WIND: Maximum sustained wind speed assigned by the responsible WMO agency WMO_PRES: Minimum central pressure assigned by the responsible WMO agency.
Afghanistan administrative level 0-2 boundaries (COD-AB) dataset version 03. This dataset is structured into 2 levels: - Admin 1: 34 Province - Admin 2: 401 District Note: Admin 2 notes: although the de-facto authority in Afghanistan have designated 457 admin 2 units, the humanitarian community is using 401 units due to lack of boundary data for 2026 Dates associated with this dataset: - 01 June 2025: dataset reviewed for accuracy and completeness - 01 June 2025: valid for use by the humanitarian community - 25 March 2026: last edit to the dataset before publishing - 01 May 2019: boundaries created by the source Contributed by OCHA Afghanistan. Quality assured, configured, and published by OCHA Field Information Services (FIS) and HDX. Part of the dataset: Global Subnational Administrative Boundaries
Afghanistan Near Term Projection FEWS NET Acute Food Insecurity Classifications Geographic data for 2020
The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived. Afghanistan Current Situation FEWS NET Acute Food Insecurity Classifications Geographic data for 2015
The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived. Afghanistan Medium Term Projection FEWS NET Acute Food Insecurity Classifications Geographic data for 2019
Afghanistan Medium Term Projection FEWS NET Acute Food Insecurity Classifications Geographic data for 2021
The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived. Afghanistan Medium Term Projection FEWS NET Acute Food Insecurity Classifications Geographic data for 2017
The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived. Afghanistan Current Situation FEWS NET Acute Food Insecurity Classifications Geographic data for 2011
The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived. Afghanistan Current Situation FEWS NET Acute Food Insecurity Classifications Geographic data for 2018
The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived. Afghanistan Medium Term Projection FEWS NET Acute Food Insecurity Classifications Geographic data for 2018
The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived. Afghanistan Current Situation FEWS NET Acute Food Insecurity Classifications Geographic data for 2019
The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived. Afghanistan Medium Term Projection FEWS NET Acute Food Insecurity Classifications Geographic data for 2015
The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived. Afghanistan Medium Term Projection FEWS NET Acute Food Insecurity Classifications Geographic data for 2016
The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived. Afghanistan Near Term Projection FEWS NET Acute Food Insecurity Classifications Geographic data for 2016
The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived. Afghanistan Current Situation FEWS NET Acute Food Insecurity Classifications Geographic data for 2014
Afghanistan Near Term Projection FEWS NET Acute Food Insecurity Classifications Geographic data for 2021
This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long
Afghanistan Medium Term Projection FEWS NET Acute Food Insecurity Classifications Geographic data for 2020
The FEWS NET Data Warehouse is **currently unavailable**. Datasets on HDX that refer to the Data Warehouse have been archived. Afghanistan Near Term Projection FEWS NET Acute Food Insecurity Classifications Geographic data for 2012
# Northern Afghanistan Earthquakes: Damage Proxy Maps, Nov 2025 The **Earth Observatory of Singapore – Remote Sensing Lab (EOS-RS)** produced these damage proxy maps for Northern Afghanistan Earthquakes (Nov 2025) from synthetic aperture radar (SAR) satellite images. Each map is a separate ZIP below with its GeoTIFF, a KMZ for Google Earth, the PNG figures and a text file describing how it was made and how to read it. ## Maps in this dataset - **EOS-RS Damage Proxy Map: Samangan Province, Afghanistan, Earthquakes, 05 Nov 2025, v0.9 ** - **EOS-RS Damage Proxy Map: Northern Afghanistan, Earthquakes, 04 Nov 2025, v0.9 ** **More map details and files:** **More map details and files:** leaflet/EOS-RS_202511_Northern_Afghanistan_Earthquakes **Legal Disclaimer:** **Credits:** Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), Contains modified Copernicus Sentinel data (2025)