Afghanistan GIS data

This report considers present and recent past food security assessments for Afghanistan in the context of hydrology, climate change and conflict. Population comparisons by data source (UN OCHA, LandScan, WorldPop, and Gridded Population of the World) and rainfall anomalies from 2013-2016 accompany the report. The authors, Zainab al Badri, Atia Curtiss, and Zoe Garcia, completed their research in partial fulfillment of Public Health coursework in Medical Geography, for Spring 2017, at Drew University. Dr. Lisa Jordan edited the report and supplemented their work with additional spatial data.

This spatial dataset of major rivers provides the delimitation of major water courses in Afghanistan. It comprises 24 water course features, which are attributed with a hydrological description and watercourse name (English). This dataset was last modified by the OCHA IMU in January 2013. The scales at which the original datasets were created are unknown, but it is likely that they were digitized at a scale of around 1:500,000. The purpose of this dataset is to show major rivers at a provincial scale or higher. The multiple sources of the data are as follows: South East Asia Rivers, USAID map of ongoing humanitarian assistance to Afghanistan; Foreign and Commonwealth Office Library map series 230 (2005); and an alternative country river line dataset (custodian unknown).

**UNOSAT code: EQ20231008AFG, GDACS ID: 1394952** On the 7th of October 2023, a 6.3 magnitude earthquake struck the Herat province in the western part of Afghanistan. The epicentre was located 40 km north-west of Herat City and caused damage and destruction that triggered humanitarian needs for the local populations. The situation worsened when a second and a third strong earthquakes struck the region few days later, respectively on the 11th and 15th of October. The local government reported that the number of deaths was above 2000 people. After the earthquake, UNOSAT quickly estimated that more than a million people were living with the intensity zones above V. It was also estimated that between 150,000 and 230,000 buildings were located within the affected zones. The United Nation Office for the Coordination of Humanitarian Affairs (UNOCHA) reported that the worst affected districts correspond to Herat, Injil and Zindajan district with more than 21,500 destroyed homes. Furthermore in the Herat Province more than 230,000 homes have been impacted by the earthquake and 37,139 families have been left without home living in temporary shelter or open spaces (UNOCHA). At least 40 health facilities were affected during the earthquake, hampering the access to healthcare for an estimated of 580,000 people. One month after the earthquake people displaced from their home still suffer as the winter is approaching and temperatures are dropping (UNHCR).

**UNOSAT code EQ20231008AFG, GDACS Id: 1394952** This map illustrates the level of damage induced by the 07 October earthquake (M6.3) in settlements North and North-West Herat as observed from very high-resolution images Pléiades acquired on 09 October 2023. UNOSAT has analysed 4 areas for a total of 750km² and detected 56 affected settlements, amongst which 38 are moderately affected, 3 severely affected and 15 are almost destroyed. The map illustrates also the coseismic surface displacement interferogram related with the 7 October 2023 earthquake as deduced using a pair of SAR images acquired on 07 Oct. 2023 and 25 Sep. 2023. Narrow fringes translate a higher surface displacement. 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 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 EQ20231008AFG, GDACS Id: 1394952** This map illustrates the level of damage induced by the 11 October earthquake (M6.3) in settlements North and North-West Herat as observed from very high-resolution images WorldView-3 and WorldView-1 acquired on 11 October 2023. UNOSAT has analysed an area of a total of 3,150km² and detected 123 affected settlements, amongst which 92 are moderately affected, 10 severely affected and 21 are almost destroyed. In addition, 25 settlements have no visible damages. 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 EQ20231008AFG, GDACS Id: 1394952** Status: Destroyed structures observed Further action(s): full assessment to be conducted Widespread destroyed structures observed in several villages North and Northwest of Herat in Zindajan & Hinjil Districts, Hirat Province folowing the 15 October 2023 M6.3 earthquake; Temporary shelters observed in the affected villages as of 15 October 2023; Additional damage to structures are observed from an image acquired on15 October 2023; The 15th of October 2023 earthquake has triggered additional damage in areas already damaged by the 9th and 11th October 2023 earthquakes.

The ICA is a process of consultations supported by mapped-out data that produces a strategic plan describing where different combinations of programme themes are appropriate to achieve goals of reducing food insecurity and climate related shock risk. The ICA combines multi-year food security trends with natural shock risk data to highlight sub-national areas where different programme strategies make sense. Food security trend maps shows areas where safety nets can address regular food insecurity, and others where shocks make recovery more important. Climate-related natural shock risk maps show where DRR, preparedness and early warning efforts can complement food-security objectives. Atop this core foundation, mapped data on subjects including nutrition, gender, livelihoods and resilience can enrich theme-level strategic planning in which all pieces work together. The full group of ICA partners discuss these analytical results to arrive at strategic programmatic directions.

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.

**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: FL20240512AFG, GDACS ID: 1102616** This map illustrates satellite-detected mudflow extent in Burka District, Baghlan Province, Afghanistan as observed from a Pléiades image acquired on 14 May 2024 at 10:48 local time. Within the analysed area of about 130 km², a total of about 18 km² of lands appear to be affected by mudflow. 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: FL20240512AFG, GDACS ID: 1102616** This application provides geospatial information on the ongoing floods in Afghanistan. Important note: The boundaries and names shown, and the designations used on this map do not imply official endorsement or acceptance by the United Nations. The United Nations Satellite Centre. UNOSAT is not responsible for the misuse or misrepresentation of the map.

**UNOSAT code: FL20240512AFG, GDACS ID: 1102616** This map illustrates satellite-detected water extent in Baghlan-e-Jadid District, Baghlan Province, Afghanistan as observed from a Pléiades image acquired on 14 May 2024 at 10:48 local time (06:18 UTC). Within the analysed area of about 420 ha, a total of about 90 ha of lands appear to be affected by flood waters. UNITAR-UNOSAT identified 259 affected structures. 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: FL20240512AFG, GDACS ID: 1102616** This map illustrates satellite-detected mudflow extent in Burka District, Baghlan Province, Afghanistan as observed from a Pléiades image acquired on 14 May 2024 at 10:48 local time (06:18 UTC). Within the analysed area of about 130 km², a total of about 18 km² of lands appear to be affected by mudflow. UNITAR-UNOSAT identified 2,042 affected structures. 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: 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).

Afghanistan Current Situation FEWS NET Acute Food Insecurity Classifications Geographic data for 2020

**ADAM ID: **sm\_us7000qsvj Magnitude 6.0 earthquake at 8.0 depth occurred on Aug 31 2025 11km SW of Nurgal. The epicentre of the earthquake was located at latitude 34.5191 longitude 70.7342. It impacted 1422825 people within 50km. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

**ADAM ID: **sm\_us6000q76g Magnitude 5.7 earthquake at 94.086 depth occurred on Apr 19 2025 32km S of Zebak. The epicentre of the earthquake was located at latitude 36.2444 longitude 71.2852. It impacted 60322 people within 50km. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

**ADAM ID: **sm\_us6000q6c3 Magnitude 5.6 earthquake at 109.757 depth occurred on Apr 15 2025 30km W of Koran Va Monjan. The epicentre of the earthquake was located at latitude 35.9525 longitude 70.5181. It impacted 34989 people within 50km. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

**ADAM ID: **sm\_us6000smda Magnitude 5.8 earthquake at 186.371 depth occurred on Apr 03 2026 7km NE of Yamgan. The epicentre of the earthquake was located at latitude 36.5479 longitude 70.852. It impacted 164009 people within 50km. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

**ADAM ID: **sm\_us6000sadt Magnitude 5.8 earthquake at 90.712 depth occurred on Feb 20 2026 20km NE of Kharo. The epicentre of the earthquake was located at latitude 35.593 longitude 69.7614. It impacted 182392 people within 50km. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

**ADAM ID: **sm\_us6000rl31 Magnitude 6.3 earthquake at 28.0 depth occurred on Nov 02 2025 20km NE of Marmul. The epicentre of the earthquake was located at latitude 36.5894 longitude 67.4843. It impacted 693651 people within 50km. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

**ADAM ID: **sm\_us7000qtst Magnitude 5.6 earthquake at 10.0 depth occurred on Sep 04 2025 3km NW of Kama. The epicentre of the earthquake was located at latitude 34.4221 longitude 70.6145. It impacted 1017660 people within 50km. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

**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).

The ICA is a process of consultations supported by mapped-out data that produces a strategic plan describing where different combinations of programme themes are appropriate to achieve goals of reducing food insecurity and climate related shock risk. The ICA combines multi-year food security trends with natural shock risk data to highlight sub-national areas where different programme strategies make sense. Food security trend maps shows areas where safety nets can address regular food insecurity, and others where shocks make recovery more important. Climate-related natural shock risk maps show where DRR, preparedness and early warning efforts can complement food-security objectives. Atop this core foundation, mapped data on subjects including nutrition, gender, livelihoods and resilience can enrich theme-level strategic planning in which all pieces work together. The full group of ICA partners discuss these analytical results to arrive at strategic programmatic directions.

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**UNOSAT code: EQ20220622AFG** Live web map providing geospatial information about damaged caused by the earthquake that stroke Afghanistan on 21 June 2022. This web map gives an updated overview over potentially damaged and damaged buildings based on very high-resolution satellite images. Furthermore, the application also gives an overview over identified shelters.

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**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).

**ADAM ID: **sm\_us6000t9gg Magnitude 5.5 earthquake at 216.694 depth occurred on Jul 01 2026 39km W of Yamgan. The epicentre of the earthquake was located at latitude 36.5317 longitude 70.4468. It impacted 251950 people within 50km. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

Afghanistan Current Situation FEWS NET Acute Food Insecurity Classifications Geographic data for 2021

**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).

Road network across the area tagged `highway=*`: motorways, residential streets, service roads, footways, and trails. Useful for routing, accessibility analysis, and evacuation 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: highway - Part of the country exports on HDX by HOT