OCHA Afghanistan
Last updated on 9 May 2021
Key Figures
Conflict-induced IDPs (01 Jan - 12 Apr 2021)
92,608
Multiple Sources
Data - May 02, 2021
Afghan returnees from Iran and Pakistan (01 Jan - 08 Apr 2021)
366,237
IOM & UNHCR
Data - Apr 28, 2021
People affected by Natural disasters (01 Jan - 7 Apr 2021)
6,902
Multiple sources
Data - May 02, 2021
Civilians killed or injured (01 Jan - 31 Dec 2020)
8,820
UNAMA
Data - Feb 12, 2021
Interactive Data
Overview of Natural Disasters Data
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  • 1600+ Downloads
    Updated 9 May 2021 | Dataset date: January 01, 2020-December 27, 2020
    This dataset updates: As needed
    1) Natural disaster events include avalanches, earthquakes, flooding, heavy rainfall & snowfall, and landslides & mudflows as recorded by OCHA field offices based on assessments in the field. 2) A natural disaster incident is defined as an event that has affected (i.e. impacted) people, who may or may not require humanitarian assistance. 3) The information includes assessment figures from OCHA, ANDMA, IOM, Red Crescent Societies, national NGOs, international NGOs, and ERM. 4) The number of affected people and houses damaged or destroyed are based on the reports received. These figures may change as updates are received.
  • 400+ Downloads
    Updated 9 May 2021 | Dataset date: January 01, 2021-April 12, 2021
    This dataset updates: Every week
    Newly displaced population due to conflict between 01 January 2021 and 25 April 2021, compiled by OCHA sub offices based on inter-agency assessment results. This data is a snapshot as of 09 May 2021 and the numbers are expected to change as new assessment figures become available.
  • 500+ Downloads
    Updated 8 May 2021 | Dataset date: January 01, 2013-December 31, 2013
    This dataset updates: Never
    1) Natural disaster events include avalanches, extreme winter conditions, flooding, heavy rainfall, landslides & mudflows, and extreme weather (sandstorms, hail, wind, etc) as recorded by OCHA field offices and IOM Afghanistan Humanitarian Assistance Database (HADB). 2) A natural disaster incident is defined as an event that has affected (i.e. impacted) Afghans, who may or may not require humanitarian assistance. 3) HADB information is used as a main reference and supplemented by OCHA Field Office reports for those incidents where information is not available from the HADB. OCHA information includes assessment figures from OCHA, ANDMA, Red Crescent Societies, national NGOs, international NGOs, and ERM.
  • 200+ Downloads
    Updated 4 May 2021 | Dataset date: August 12, 2018-August 12, 2018
    This dataset updates: Every month
    Topline figures dataset for OCHA Afghanistan organisation page
  • 800+ Downloads
    Updated 20 April 2021 | Dataset date: January 01, 2016-March 31, 2016
    This dataset updates: Never
    The Who does What Where (3W) is a core humanitarian coordination dataset. It is critical to know where humanitarian organizations are working, what they are doing and their capability in order to identify gaps, avoid duplication of efforts, and plan for future humanitarian response (if needed). The data includes a list of humanitarian organizations by district and cluster, as well as a unique count of organizations. An interactive map of the 3W data can be accessed here.
  • 700+ Downloads
    Updated 20 April 2021 | Dataset date: January 01, 2017-March 31, 2017
    This dataset updates: Never
    The Who does What Where (3W) is a core humanitarian coordination dataset. It is critical to know where humanitarian organizations are working, what they are doing and their capability in order to identify gaps, avoid duplication of efforts, and plan for future humanitarian response (if needed). The data includes a list of humanitarian organizations by district and cluster, as well as a unique count of organizations. An interactive map of the 3W data can be accessed here.
  • 600+ Downloads
    Updated 20 April 2021 | Dataset date: April 01, 2017-June 30, 2017
    This dataset updates: Never
    The Who does What Where (3W) is a core humanitarian coordination dataset. It is critical to know where humanitarian organizations are working, what they are doing and their capability in order to identify gaps, avoid duplication of efforts, and plan for future humanitarian response (if needed). The data includes a list of humanitarian organizations by district and cluster, as well as a unique count of organizations. An interactive map of the 3W data can be accessed here.
  • 900+ Downloads
    Updated 20 April 2021 | Dataset date: April 01, 2016-June 30, 2016
    This dataset updates: Never
    The Who does What Where (3W) is a core humanitarian coordination dataset. It is critical to know where humanitarian organizations are working, what they are doing and their capability in order to identify gaps, avoid duplication of efforts, and plan for future humanitarian response (if needed). The data includes a list of humanitarian organizations by district and cluster, as well as a unique count of organizations. An interactive map of the 3W data can be accessed here.
  • 800+ Downloads
    Updated 20 April 2021 | Dataset date: April 01, 2015-June 30, 2015
    This dataset updates: Never
    The Who does What Where (3W) is a core humanitarian coordination dataset. It is critical to know where humanitarian organizations are working, what they are doing and their capability in order to identify gaps, avoid duplication of efforts, and plan for future humanitarian response (if needed). The data includes a list of humanitarian organizations by district and cluster, as well as a unique count of organizations.
  • 60+ Downloads
    Updated 20 April 2021 | Dataset date: January 01, 2021-December 31, 2021
    This dataset updates: Every year
    Afghanistan administrative levels 0 (country), and 1 (province) population statistics. REFERENCE YEAR: 2021 estimates based on 2017 study conducted by Flowminder/UNFPA.
  • 100+ Downloads
    Updated 19 April 2021 | Dataset date: September 30, 2020-March 31, 2021
    This dataset updates: Every three months
    The Who does What Where (3W) is a core humanitarian coordination dataset. It is critical to know where humanitarian organizations are working, what they are doing and their capability in order to identify gaps, avoid duplication of efforts, and plan for future humanitarian response (if needed). The data includes a list of humanitarian organizations by district and cluster, as well as a unique count of organizations. An interactive map of the 3W data can be accessed here.
  • 30+ Downloads
    Updated 18 April 2021 | Dataset date: January 01, 2021-March 31, 2021
    This dataset updates: As needed
    The Who does What Where (3W) is a core humanitarian coordination dataset. It is critical to know where humanitarian organizations are working, what they are doing and their capability in order to identify gaps, avoid duplication of efforts, and plan for future humanitarian response (if needed). The data includes a list of humanitarian organizations by district and cluster, as well as a unique count of organizations. An interactive map of the 3W data can be accessed here.
  • 200+ Downloads
    Updated 18 April 2021 | Dataset date: July 01, 2020-September 30, 2020
    This dataset updates: Every three months
    The Who does What Where (3W) is a core humanitarian coordination dataset. It is critical to know where humanitarian organizations are working, what they are doing and their capability in order to identify gaps, avoid duplication of efforts, and plan for future humanitarian response (if needed). The data includes a list of humanitarian organizations by district and cluster, as well as a unique count of organizations. An interactive map of the 3W data can be accessed here.
  • 100+ Downloads
    Updated 18 April 2021 | Dataset date: April 01, 2020-June 30, 2020
    This dataset updates: Never
    The Who does What Where (3W) is a core humanitarian coordination dataset. It is critical to know where humanitarian organizations are working, what they are doing and their capability in order to identify gaps, avoid duplication of efforts, and plan for future humanitarian response (if needed). The data includes a list of humanitarian organizations by district and cluster, as well as a unique count of organizations. An interactive map of the 3W data can be accessed here.
  • 300+ Downloads
    Updated 18 April 2021 | Dataset date: January 01, 2020-March 31, 2020
    This dataset updates: Every three months
    The Who does What Where (3W) is a core humanitarian coordination dataset. It is critical to know where humanitarian organizations are working, what they are doing and their capability in order to identify gaps, avoid duplication of efforts, and plan for future humanitarian response (if needed). The data includes a list of humanitarian organizations by district and cluster, as well as a unique count of organizations. An interactive map of the 3W data can be accessed here.
  • 100+ Downloads
    Updated 18 April 2021 | Dataset date: October 01, 2020-December 31, 2020
    This dataset updates: Every three months
    The Who does What Where (3W) is a core humanitarian coordination dataset. It is critical to know where humanitarian organizations are working, what they are doing and their capability in order to identify gaps, avoid duplication of efforts, and plan for future humanitarian response (if needed). The data includes a list of humanitarian organizations by district and cluster, as well as a unique count of organizations. An interactive map of the 3W data can be accessed here.
  • 1800+ Downloads
    Updated 30 March 2021 | Dataset date: January 01, 2020-December 30, 2020
    This dataset updates: As needed
    Newly displaced population due to conflict between 01 January 2020 and 30 December 2020, compiled by OCHA sub offices based on inter-agency assessment results. This data is a snapshot as of 30 Mar 2021 and the numbers are expected to change as new assessment figures become available.
  • 900+ Downloads
    Updated 11 March 2021 | Dataset date: January 01, 2017-December 31, 2021
    This dataset updates: Every year
    This dataset was compiled by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. It provides the Humanitarian Country Team’s shared understanding of the crisis, including the most pressing humanitarian need and the estimated number of people who need assistance, and represents a consolidated evidence base and helps inform joint strategic response planning.
  • Updated 9 March 2021 | Dataset date: October 22, 2019-October 22, 2019
    This data is by request only
    Afghanistan administrative level 0 (country), 1 (province), and 2 (district), and UNAMA region boundary polygon, line, and point shapefiles, geodatabase and gazetteer. REFERENCE YEAR: 2019
  • 600+ Downloads
    Updated 18 March 2020 | Dataset date: March 12, 2019-May 12, 2021
    This dataset updates: Every year
    Trinidad and Tobago administrative levels 0 (country) and 1 (regional corporation or municipality) population statistics REFERENCE YEAR: 2011 INTERIM version combining Tobago parishes into one municipality (P-code TT90) for compatibility with the COD-AB. These CSV tables are suitable for database or GIS linkage to the Trinidad and Tobago administrative level 0-1 boundaries shapefiles.
  • 400+ Downloads
    Updated 10 November 2019 | Dataset date: January 31, 2013-January 31, 2013
    This dataset updates: Every year
    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).
  • 100+ Downloads
    Updated 5 October 2020 | Dataset date: January 01, 2019-December 31, 2019
    This dataset updates: As needed
    1) Natural disaster events include avalanches, earthquakes, flooding, heavy rainfall & snowfall, and landslides & mudflows as recorded by OCHA field offices based on assessments in the field. 2) A natural disaster incident is defined as an event that has affected (i.e. impacted) people, who may or may not require humanitarian assistance. 3) The information includes assessment figures from OCHA, ANDMA, IOM, Red Crescent Societies, national NGOs, international NGOs, and ERM. 4) The number of affected people and houses damaged or destroyed are based on the reports received. These figures may change as updates are received.
  • 1500+ Downloads
    Updated 7 July 2018 | Dataset date: March 21, 2016-March 20, 2017
    This dataset updates: Never
    This tabular dataset provides the Afghanistan population estimation for the Persian calendar year 1395 (corresponding to the Gregorian period 21 March 2016 to 20 March 2017) disaggregated by districts and provincial centres (admin level 3), age, gender, and urban-rural settled populations. The total population of the country in 1395 is estimated to be around 29.1 million, which is inclusive of the 1.5 million nomadic population. This dataset format was created on 15 August 2016 by the Information Management Unit (IMU) of the Office for the Coordination of Humanitarian Affairs (OCHA) Afghanistan. Since the Afghanistan Geodesy and Cartography Head Office (AGCHO) is recognized as the sole authoritative source a for administrative boundaries, the population estimates have also been matched to the administrative names and codes of the AGCHO dataset. The dataset include popluation estimates disaggregated by CSO province and district codes (including Kabul city districts), population estimates disaggreated by AGCHO district codes, and a lookup table that relates CSO, AGCHO and AIMS legacy codes. Note that the 1.5 million nomadic population is NOT included in the province and district population estimates. Estimated population disaggregated by age group and gender is calculated using proportion of the total estimated population falling under each cohort based on 2011/2012 National Risk and Vulnerability Assessment (NRVA) report. This data is only available at the province level. The 2015/2016 estimations can be found on https://data.humdata.org/dataset/estimated-population-of-afghanistan-2015-2016
  • 900+ Downloads
    Updated 10 November 2019 | Dataset date: October 01, 2015-December 31, 2015
    This dataset updates: Never
    The Who does What Where (3W) is a core humanitarian coordination dataset. It is critical to know where humanitarian organizations are working, what they are doing and their capability in order to identify gaps, avoid duplication of efforts, and plan for future humanitarian response (if needed). The data includes a list of humanitarian organizations by district and cluster, as well as a unique count of organizations. An interactive map of the 3W data can be accessed here.
  • 800+ Downloads
    Updated 10 November 2019 | Dataset date: January 01, 2016-October 29, 2016
    This dataset updates: Every year
    1) Natural disaster events include avalanches,earthquake, flooding, heavy rainfall & snowfall, and landslides & mudflows as recorded by OCHA field offices and IOM Afghanistan Humanitarian Assistance Database (HADB). 2) A natural disaster incident is defined as an event that has affected (i.e. impacted) people, who may or may not require humanitarian assistance. 3) HADB information is used as a main reference and supplemented by OCHA Field Office reports for those incidents where information is not available from the HADB. OCHA information includes assessment figures from OCHA, ANDMA, Red Crescent Societies, national NGOs, international NGOs, and ERM. 4) The number of affected people and houses damaged or destroyed are based on the reports received. These figures may change as updates are received.