OCHA Afghanistan
Key Figures
Conflict-induced IDPs (01 Jan - 02 Oct 2017)
268,689
Multiple Sources
Data - Oct 08, 2017
Afghan refugee returnees (01 Jan - 07 Oct 2017)
52,412
UNHCR
Data - Oct 07, 2017
Undocumented Afghan returnees from Pakistan (01 Jan - 07 Oct 2017)
88,383
IOM
Data - Oct 07, 2017
Civilians killed or injured (01 Jan - 30 Jun 2017)
5,243
UNAMA
Data - Jul 17, 2017
Interactive Data
Who's Doing What Where (October to December 2016) Data

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What (Top 15)

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  • OCHA Afghanistan
    Updated October 15, 2017 | Dataset date: Jan 1, 2017-Oct 5, 2017
    Newly displaced population due to conflict between 01 January 2017 and 05 Oct 2017, compiled by OCHA sub offices based on inter-agency assessment results. This data is a snapshot as of 15 October 2017 and the numbers are expected to change as new assessment figures become available.
    • XLSX
    • CSV
    • 200+ Downloads
    • This dataset updates: Every week
  • OCHA Afghanistan
    Updated October 12, 2017 | Dataset date: Jan 24, 2017
    Topline figures dataset for OCHA Afghanistan organisation page
    • CSV
    • 40+ Downloads
    • This dataset updates: Every month
  • OCHA Afghanistan
    Updated September 21, 2017 | Dataset date: Jan 1, 2017-Aug 11, 2017
    1) Natural disaster events include avalanches,earthquake, 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.
    • XLSX
    • CSV
    • 60+ Downloads
    • This dataset updates: Every week
  • OCHA Afghanistan
    Updated July 17, 2017 | Dataset date: Jan 1, 2016-Oct 29, 2016
    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.
    • XLSX
    • CSV
    • 20+ Downloads
    • This dataset updates: Every year
  • OCHA Afghanistan
    Updated June 26, 2017 | Dataset date: Oct 1, 2016-Dec 31, 2016
    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.
    • XLSX
    • CSV
    • 200+ Downloads
    • This dataset updates: Every three months
  • OCHA Afghanistan
    Updated June 13, 2017 | Dataset date: Jan 1, 2000-Dec 31, 2014
    This dataset contains information on the locations and sectors of activity of 891 international and local (Afghan) that operated in Afghanistan between 2000 and 2014. Columns for the name of the the NGO, year founded, nationality, sectors of activity and location of activity and period of activity are provided for each NGO listed. Provincial, annual and sector breakdowns are also provided. Source: Mitchell, David F. 2017. "NGO Presence and Activity in Afghanistan, 2000–2014: A Provincial-Level Dataset." Stability: International Journal of Security and Development 6(1). DOI: http://doi.org/10.5334/sta.497
    • XLSX
    • 40+ Downloads
    • This dataset updates: Never
  • OCHA Afghanistan
    Updated June 4, 2017 | Dataset date: Jan 1, 2016-Dec 30, 2016
    Newly displaced population due to conflict between 01 Jan 2016 and 31 Dec 2016, compiled by OCHA sub offices based on inter-agency assessment results. This data is a snapshot as of 04 June 2017 and the numbers are expected to change as new assessment figures become available.
    • XLSX
    • CSV
    • 900+ Downloads
    • This dataset updates: Every week
  • OCHA Afghanistan
    Updated May 28, 2017 | Dataset date: Jan 1, 2017-Dec 31, 2017
    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. This dataset covers existing needs as of October 2016 as well as projected needs for 2017. It includes a breakdown of people in need (PIN) by cluster and population types (with SADD) and documentation of analysis method used for the estimation of needs.
    • XLSX
    • 40+ Downloads
    • This dataset updates: Every year
  • OCHA Afghanistan
    Updated April 12, 2017 | Dataset date: Jan 1, 2017-Mar 31, 2017
    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.
    • XLSX
    • CSV
    • 100+ Downloads
    • This dataset updates: Every three months
  • OCHA Afghanistan
    Updated April 4, 2017 | Dataset date: Mar 21, 2015-Mar 19, 2016
    The population data was sourced from the Central Statistics Organization (CSO) and should be used in accordance with the "Estimated Population of Afghanistan 2015/16" report prepared by the Islamic Republic of Afghanistan CSO. Age and gender disaggregated estimates are calculated based on proportion of population in each cohort in the 2011/2012 National Risk and Vulnerability Assessment (NRVA) report. This is an archived version of population projections. The current version can be found on https://data.humdata.org/dataset/afg-est-pop.
    • XLSX
    • 100+ Downloads
    • This dataset updates: Never
  • OCHA Afghanistan
    Updated April 4, 2017 | Dataset date: Mar 21, 2016-Mar 20, 2017
    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. This is the current version of the population estimates. The 2015/2016 projections can be found on https://data.humdata.org/dataset/estimated-population-of-afghanistan-2015-2016
    • XLSX
    • 200+ Downloads
    • This dataset updates: Every year
  • OCHA Afghanistan
    Updated March 29, 2017 | Dataset date: Sep 25, 2012
    This spatial dataset provides the delimitation and composition of the Afghanistan administrative boundaries (levels 0 - 3) and forms one of the Common Operational Datasets (COD) for the humanitarian community. It comprises of polygons of 399 district boundaries (level 2), 34 province boundaries (level 1) and the national boundary. The UNAMA region boundary available in this dataset is not an official administrative level and is included as a reference for operational purposes. The dataset is attributed with the Afghanistan Geodesy and Cartography Head Office (AGCHO) p-codes and names (Dari and English) was obtained from AGCHO on 25 September 2012.
    • ZIP
    • XLSX
    • 200+ Downloads
    • This dataset updates: Every year
  • OCHA Afghanistan
    Updated October 6, 2016 | Dataset date: Jul 1, 2016-Sep 30, 2016
    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.
    • XLSX
    • CSV
    • 300+ Downloads
    • This dataset updates: Every three months
  • OCHA Afghanistan
    Updated July 17, 2016 | Dataset date: Jan 1, 2012-Dec 31, 2012
    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. 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.
    • XLSX
    • 90+ Downloads
    • This dataset updates: Never
  • OCHA Afghanistan
    Updated July 17, 2016 | Dataset date: Jan 1, 2014-Dec 31, 2014
    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.
    • XLSX
    • 90+ Downloads
    • This dataset updates: Every year
  • OCHA Afghanistan
    Updated July 17, 2016 | Dataset date: Jan 1, 2013-Dec 31, 2013
    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.
    • XLSX
    • URL
    • 90+ Downloads
    • This dataset updates: Never
  • OCHA Afghanistan
    Updated July 17, 2016 | Dataset date: Sep 1, 2011-Aug 31, 2014
    The dataset includes the provincial level indicators, index scores and caseloads of the need and vulnerability analysis carried out for the Afghanistan 2015 Humanitarian Response Plan. The full methodology and detailed data can be downloaded via the following URL: https://www.humanitarianresponse.info/operations/afghanistan/document/onvi-guidance-note-afghanistan-hrp-2015
    • XLSX
    • 90+ Downloads
    • This dataset updates: Never
  • OCHA Afghanistan
    Updated July 12, 2016 | Dataset date: Jan 1, 2016-Mar 31, 2016
    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.
    • XLSX
    • CSV
    • 200+ Downloads
    • This dataset updates: Every three months
  • OCHA Afghanistan
    Updated July 11, 2016 | Dataset date: Apr 1, 2016-Jun 30, 2016
    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.
    • XLSX
    • CSV
    • 200+ Downloads
    • This dataset updates: Every three months
  • OCHA Afghanistan
    Updated February 11, 2016 | Dataset date: Jan 1, 2015-Dec 31, 2015
    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.
    • XLSX
    • 80+ Downloads
  • OCHA Afghanistan
    Updated December 24, 2015 | Dataset date: Oct 1, 2015-Dec 31, 2015
    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.
  • OCHA Afghanistan
    Updated November 25, 2015 | Dataset date: Jul 1, 2015-Sep 30, 2015
    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.
    • XLSX
    • CSV
    • 200+ Downloads
    • This dataset updates: Every three months
  • OCHA Afghanistan
    Updated November 25, 2015 | Dataset date: Dec 31, 2012
    This road network for Afghanistan includes a simple classification of major and minor roads ("Class" field). The original dataset was sourced from the Afghanistan Information Management Services (AIMS) organisation and updated using OSM, Google Earth, and field observation.
  • OCHA Afghanistan
    Updated November 25, 2015 | Dataset date: Oct 17, 2011
    Digital Elevation Model of Afghanistan (ASTER GDEM 90m) Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Digital Elevation Model Version 2 (GDEM V2).
    • dem
    • 50+ Downloads
    • This dataset updates: Every year
  • OCHA Afghanistan
    Updated November 25, 2015 | Dataset date: Jan 31, 2013
    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).