Afghanistan buildings and infrastructure data

Building footprints across the area: every feature tagged `building=*`, from residential homes to hospitals, schools, and places of worship. Useful for population estimation, damage assessment, and urban planning. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: building - Part of the country exports on HDX by HOT

Education facilities: schools, kindergartens, colleges, and universities tagged via `amenity` or `building`. Useful for school-access mapping, education planning, and resource allocation. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity, building - Part of the country exports on HDX by HOT

**UNOSAT code EQ20231008AFG, GDACS Id: 1394952** This map illustrates destroyed and potentially damaged structures by the M6.3 Hirat earthquake of 15 October 2023 (03:36 UTC) as observed by using a Pléiades NEO very high-resolution satellite image acquired on 16 October 2023 at 06:44 UTC. Within the map extent, UNOSAT identified 491 destroyed structures, 1 potentially damaged structure and 179 temporary shelters. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).

**UNOSAT code: EQ20220622AFG** This map illustrates potentially damaged buildings and damaged buildings in Tani district, Khost province of Afghanistan as detected by Worldview-3 image acquired on 23 June 2022. Within the analyzed area, UNOSAT has identified 156 potentially damaged buildings, 70 damaged buildings and 58 shelters. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).

This map illustrates satellite-detected landslide and flood water extent in Peshghor village and surrounding areas in Khenj District, Panjshir Province, Afghanistan as seen on Sentinel-2 satellite imagery, 10 m resolution, collected on 13 July 2018, one day after the disaster happened. The landslides and floodwaters hit villages downstream because of the break-up of the natural banks of the dam. As a result, Peshghor and surrounding villages have been cut off and damages have been reported on structures and buildings. Within the current map extent Saricha primary road is potentially affected by the landslides and the overflow of Panjshir River. Around 198 buildings are located within areas affected by the landslide and 9 within areas affected by the floods. Due to the resolution of the satellite imagery, the extent of landslide and floodwaters may be underestimated and as a consequence, the number of buildings potentially affected. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

**UNOSAT code: EQ20250901AFG, GDACS ID: 1498339** This map illustrates the potentially damaged structures/buildings affected by the August 31, 2025, earthquake in Afghanistan. The analysis focuses on Jalalabad City and surrounding area, Nangarhar Province, where damage was detected using a Pleiades very high-resolution satellite image acquired on September 2, 2025. UNOSAT identified 12 damaged building and 69 potentially damaged buildings. This is a preliminary analysis and has not yet been validated in the field. Ground verification is encouraged, and feedback can be sent to the United Nations Satellite Centre (UNOSAT).

**UNOSAT code: EQ20220622AFG** This map illustrates potentially damaged buildings and damaged buildings in Spera district, Khost province of Afghanistan as detected by a NewSat image acquired on 24 June 2022. Within the analyzed area, UNOSAT has identified 49 potentially damaged buildings, 34 damaged buildings and 145 shelters. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).

**UNOSAT code: EQ20220622AFG** This map illustrates potentially damaged buildings and damaged buildings in Spera district, Khost province of Afghanistan as detected by a NewSat image acquired on 24 June 2022. Within the analyzed area, UNOSAT has identified 81 potentially damaged buildings, 12 damaged buildings and 170 shelters. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).

**UNOSAT code: EQ20220622AFG** This map illustrates potentially damaged buildings and damaged buildings in Gyan district, Pakteka province of Afghanistan as detected by Jilin-1 satellite image acquired on 24 June 2022. Within the analyzed area, UNOSAT has identified 39 potentially damaged buildings, 22 damaged buildings and 33 shelters. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).

**UNOSAT code: EQ20220622AFG** This map illustrates potentially damaged structures/buildings in the northern part of Spera district, Khost province of Afghanistan as detected by Worldview-3 image acquired on 23 June 2022. Within the analyzed area, UNOSAT has identified 170 damaged buildings and 3 road obstacles, amongst the 2800 buildings identified in the analyzed zone. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).

AI-derived building footprint polygons for Afghanistan from Microsoft's Global ML Building Footprints, in 191 quadkey tiles of line-delimited GeoJSON, uploaded 2026-02-23.