OCHA Afghanistan
Last updated on April 21, 2019
Key Figures
Conflict-induced IDPs (01 Jan - 26 Feb 2019)
35,000
Multiple Sources
Data - Mar 10, 2019
Afghan refugee returnees (01 Jan - 26 Feb 2019)
181
UNHCR
Data - Mar 03, 2019
Undocumented Afghan returnees (01 Jan - 23 Feb 2019)
62,400
IOM
Data - Mar 07, 2019
Civilians killed or injured (01 Jan - 31 Dec 2018)
10,993
UNAMA
Data - Feb 01, 2019
Interactive Data
Who's Doing What Where (Jul to Sept 2018) Data

Who (Top 15)

What (Top 15)

Where

/ selected records  
Refine your search: Clear all
Featured:
Locations:
More
Formats:
More
Tags:
More
Licenses:
More
  • 300+ Downloads
    Updated April 21, 2019 | Dataset date: Jan 1, 2019-Apr 12, 2019
    This dataset updates: Every week
    Newly displaced population due to conflict between 01 January 2019 and 12 April 2019, compiled by OCHA sub offices based on inter-agency assessment results. This data is a snapshot as of 21 April 2019 and the numbers are expected to change as new assessment figures become available.
  • 100+ Downloads
    Updated April 14, 2019 | Dataset date: Jan 1, 2019-Apr 8, 2019
    This dataset updates: Every week
    1) Natural disaster events include avalanches, drought, 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.
  • 100+ Downloads
    Updated April 10, 2019 | Dataset date: Aug 12, 2018
    This dataset updates: Every month
    Topline figures dataset for OCHA Afghanistan organisation page
  • 40+ Downloads
    Updated March 12, 2019 | Dataset date: Mar 12, 2019
    This dataset updates: Every year
    Trinidad and Tobago administrative levels 0 (country) and 1 (regional corporation or municipality) population statistics 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.
  • 1000+ Downloads
    Updated March 3, 2019 | Dataset date: Jan 1, 2018-Dec 31, 2018
    This dataset updates: Every month
    1) Natural disaster events include avalanches, drought, 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.
  • 300+ Downloads
    Updated February 27, 2019 | Dataset date: Dec 31, 2012
    This dataset updates: Every year
    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.
  • 200+ Downloads
    Updated January 29, 2019 | Dataset date: Jan 1, 2012-Dec 31, 2012
    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. 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.
  • 1800+ Downloads
    Updated January 28, 2019 | Dataset date: Jan 1, 2018-Dec 31, 2018
    This dataset updates: Every week
    Newly displaced population due to conflict between 01 January 2018 and 31 December 2018, compiled by OCHA sub offices based on inter-agency assessment results. This data is a snapshot as of 28 January 2019 and the numbers are expected to change as new assessment figures become available.
  • 300+ Downloads
    Updated December 31, 2018 | Dataset date: Jan 1, 2013-Dec 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.
  • 300+ Downloads
    Updated December 18, 2018 | Dataset date: Jan 1, 2012-Jun 30, 2015
    This dataset updates: Never
    An incident may be politically or economically motivated violence as well as exposure to incidental violence directly affecting humanitarian personnel, equipment and facilities. Incidents relating to violence against humanitarian personnel, assets and facilities includes intimidation, abductions, arrests, injuries, deaths, damaged property, and stolen assets.
  • 400+ Downloads
    Updated December 18, 2018 | Dataset date: Jan 1, 2012-May 31, 2015
    This dataset updates: Every year
    The total number of security incidents reported on a monthly basis from 1 January 2012 to 31 May 2015. Incident types, which are of particular concern to the protection of civilians, include abductions, air strikes, armed clashes, assassinations or attempted assassinations, IED detonated or discovered, mine/UXO incidents, stand-off attacks, or suicide attacks.
  • 200+ Downloads
    Updated December 18, 2018 | Dataset date: Jan 1, 2015-Dec 31, 2015
    This dataset updates: Never
    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.
  • 200+ Downloads
    Updated December 18, 2018 | Dataset date: Jan 1, 2014-Dec 31, 2014
    This dataset updates: Every year
    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.
  • 100+ Downloads
    Updated December 18, 2018 | Dataset date: Sep 1, 2011-Aug 31, 2014
    This dataset updates: Never
    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
  • 300+ Downloads
    Updated December 18, 2018 | Dataset date: Mar 21, 2015-Mar 19, 2016
    This dataset updates: Never
    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.
  • 400+ Downloads
    Updated December 18, 2018 | Dataset date: Jan 1, 2012-Dec 31, 2014
    This dataset updates: Every year
    The number of infectious disease outbreaks as reported by the Disease Early Warning System (DEWS), MoPH. Outbreaks are reported for ABD, Anthrax, ARI, AVH, AWD, Brucellosis, CCHF, Chickenpox, Cholera, Conjunctivitis, Dengue Fever, Dermatitis, Diphtheria, Gulran Disease, Leishmaniasis, Malaria, Measles, Mumps, Pertussis, Poisoning, Rabies, Scabies, Tenia Capitis and Typhoid.
  • 500+ Downloads
    Updated December 18, 2018 | Dataset date: Jul 1, 2015-Sep 30, 2015
    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.
  • 500+ Downloads
    Updated December 18, 2018 | Dataset date: Jan 1, 2015-Mar 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.
  • 300+ Downloads
    Updated December 18, 2018 | Dataset date: Jan 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 November 29, 2018 | Dataset date: Sep 30, 2018-Sep 30, 2018
    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.
  • 200+ Downloads
    Updated September 4, 2018 | Dataset date: Apr 1, 2018-Jun 30, 2018
    This dataset updates: Every month
    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 July 7, 2018 | Dataset date: Mar 21, 2016-Mar 20, 2017
    This dataset updates: Every year
    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
  • 200+ Downloads
    Updated May 31, 2018 | Dataset date: Jan 1, 2018-Mar 31, 2018
    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.
  • 2900+ Downloads
    Updated May 29, 2018 | Dataset date: May 29, 2018
    This dataset updates: Every year
    Afghanistan administrative level 0 (country), 1 (province), and 2 (district), and UNAMA region boundary polygon, line, and point shapefiles, KMZ files, geodatabase and gazetteer.
  • 200+ Downloads
    Updated April 23, 2018 | Dataset date: Apr 1, 2017-Jun 30, 2017
    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.