Data Grid Completeness
85% 
18/21 Core Data 20 Datasets 12 Organisations Show legend
What is Data Grid Completeness?
Data Grid Completeness defines a set of core data that are essential for preparedness and emergency response. For select countries, the HDX Team and trusted partners evaluate datasets available on HDX and add those meeting the definition of a core data category to the Data Grid Completeness board above. Please help us improve this feature by sending your feedback to hdx@un.org.
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Presence, freshness, and quality of dataset
  • Dataset fully matches criteria and is up-to-date
  • Dataset partially matches criteria and/or is not up-to-date
  • No dataset found matching the criteria
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Affected People
3 Datasets
100% 
Internally-Displaced Persons
International Organization for Migration (IOM)
Refugees & Persons of Concern
Returnees
International Organization for Migration (IOM)
Humanitarian Needs
Coordination & Context
6 Datasets
50%  33%  16% 
3w - Who is doing what where
International Aid Transparency Initiative
Conflict Events
Armed Conflict Location & Event Data Project (ACLED)
Transportation Status
Food Security & Nutrition
3 Datasets
100% 
Food security
Integrated Food Security Phase Classification (IPC)
Acute Malnutrition
Food Prices
WFP - World Food Programme
Geography & Infrastructure
4 Datasets
100% 
Populated Places
Roads
Humanitarian OpenStreetMap Team (HOT)
Airports
Humanitarian OpenStreetMap Team (HOT)
Health & Education
2 Datasets
100% 
Health Facilities
Education Facilities
OCHA Afghanistan
Population & Socio-economy
2 Datasets
100% 
Baseline Population
Poverty Rate
Oxford Poverty & Human Development Initiative
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  • 400+ Downloads
    Updated 10 November 2019 | Dataset date: August 01, 2018-September 26, 2018
    This dataset updates: Every year
    The overall objective of the Hard to Reach component of the Whole of Afghanistan Assessment was to supplement of the household data collection with an understanding of the multi-sectoral needs faced by those in Hard to Reach areas. This data ought to inform humanitarian programming in these districts and support the identification of nationwide inter-sectoral needs and how they inter-relate across different geographic locations and population groups outlined in the Humaniarian Needs Overview (HNO). The Hard to Reach component of the Whole of Afghanistan (WoA) Assessment utilised Mapping Focus Group Discussions for the mapping process and Key Informant Interviews with knowledgeable community members to identify needs and access constraints. This data complemented the household-level data collection component of the Whole of Afghanistan. The presented dataset here includes the key informant responses across the 70 Hard to Reach districts, conducted to capture inter-sectoral needs of displaced and host households in these areas of Afghanistan.
  • 700+ Downloads
    Updated 10 November 2019 | Dataset date: January 01, 2012-December 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.
  • 300+ Downloads
    Updated 28 October 2019 | Dataset date: July 01, 2019-September 30, 2019
    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.
  • 600+ Downloads
    Updated 11 October 2019 | Dataset date: January 01, 2015-June 15, 2019
    This dataset updates: Never
    Number of refugees returning to Afghanistan for the period 1 January 2019 to 15 June 2019 by district of destination and origin.
  • 100+ Downloads
    Updated 30 September 2019 | Dataset date: September 25, 2018-September 25, 2018
    This dataset updates: As needed
    Afghanistan NUT Cluster Severity Classification by GAM
  • 500+ Downloads
    Updated 13 August 2019 | Dataset date: April 01, 2019-June 30, 2019
    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 7 August 2019 | Dataset date: January 01, 2018-December 31, 2018
    This dataset updates: As needed
    This dataset includes any criminally motivated events in which aid agency or aid worker property was stolen, destroyed or otherwise misappropriated in 2018. Categorised by date, country, crime sub-type.
  • 400+ Downloads
    Updated 25 June 2019 | Dataset date: January 01, 2019-March 31, 2019
    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.
  • 300+ Downloads
    Updated 21 June 2019 | Dataset date: May 01, 2018-June 06, 2018
    This dataset updates: Never
    DTM in Afghanistan piloted a Community-Based Needs Assessment (CBNA), to provide a more comprehensive view of multi-sectoral needs in settlements hosting IDPs and returnees.
  • 500+ Downloads
    Updated 20 June 2019 | Dataset date: December 31, 2018-December 31, 2018
    This dataset updates: As needed
    Total number of civilian casualties documented in each of Afghanistan’s 34 provinces, the top three causes of civilian casualties in each province, and the percentage increase or decrease compared to 2017. For more, refer to the report from UNAMA
  • 400+ Downloads
    Updated 12 June 2019 | Dataset date: October 01, 2018-December 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 28 January 2019 | Dataset date: January 01, 2018-December 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.
  • 1700+ Downloads
    Updated 2 January 2019 | Dataset date: January 01, 2018-December 31, 2018
    This dataset updates: Every day
    Number of Refugees returning to Afghanistan for the Period of 01 January 2018 to 31 December 2018 by district of destination and origin
  • 200+ Downloads
    Updated 18 December 2018 | Dataset date: January 01, 2015-December 31, 2017
    This dataset updates: Never
    This dataset highlights recent global trends regarding the impact of armed conflict on children and provides information on violations committed in 2017, as well as related protection concerns. Where possible, violations are attributed to parties to conflict and, in line with the resolutions of the Council, the annexes to the present report include a list of parties that, in violation of international law, engage in the recruitment and use of children, the killing and maiming of children, rape and other forms of sexual violence against children, attacks on schools and/or hospitals and attacks or threats of attacks against protected personnel, and the abduction of children.
  • 600+ Downloads
    Updated 29 November 2018 | Dataset date: September 30, 2018-September 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.
  • 300+ Downloads
    Updated 28 September 2018 | Dataset date: January 01, 1950-December 31, 2050
    This dataset updates: Every year
    The urban indicators data available here are analyzed, compiled and published by UN-Habitat’s Global Urban Observatory which supports governments, local authorities and civil society organizations to develop urban indicators, data and statistics. Urban statistics are collected through household surveys and censuses conducted by national statistics authorities. Global Urban Observatory team analyses and compiles urban indicators statistics from surveys and censuses. Additionally, Local urban observatories collect, compile and analyze urban data for national policy development. Population statistics are produced by the United Nations Department of Economic and Social Affairs, World Urbanization Prospects.
  • 800+ Downloads
    Updated 4 September 2018 | Dataset date: April 01, 2018-June 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.
  • Updated Live | Dataset date: July 17, 2018-July 17, 2018
    This dataset updates: Live
    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.
  • 300+ Downloads
    Updated 8 July 2018 | Dataset date: June 04, 2018-June 21, 2018
    This dataset updates: Every year
    The overall objective of the assessment is to inform the response of the Water, Sanitation and Hygiene (WASH) Cluster for the ongoing dry spell in Afghanistan. The assessment aims at supporting the Cluster to better identify target population groups, priority areas and relevant interventions.
  • 1700+ 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
  • 300+ Downloads
    Updated 4 July 2018 | Dataset date: May 08, 2018-May 27, 2018
    This dataset updates: Every three months
    Afghanistan hard to reach village level KI interviews to capture information on basic service unit boundaries as well as multi sectoral humanitarian needs
  • 2300+ Downloads
    Updated 21 June 2018 | Dataset date: June 01, 1970-December 31, 2018
    This dataset updates: Every six months
    Worldwide comprehensive metrics for children in the official primary school age range who are not enrolled in either primary or secondary schools.
  • 800+ Downloads
    Updated 31 May 2018 | Dataset date: January 01, 2018-March 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.
  • 900+ Downloads
    Updated 5 February 2018 | Dataset date: October 01, 2017-December 31, 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.
  • 2600+ Downloads
    Updated 4 February 2018 | Dataset date: January 01, 2017-December 31, 2017
    This dataset updates: Every year
    Newly displaced population due to conflict between 01 January 2017 and 31 December 2017, compiled by OCHA sub offices based on inter-agency assessment results. This data is a snapshot as of 02 February 2018 and the numbers are expected to change as new assessment figures become available.