Data Grid Completeness
95% 
19/20 Core Data 20 Datasets 11 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
80%  20% 
3w - Who is doing what where
International Aid Transparency Initiative
Funding
OCHA Financial Tracking System (FTS)
Conflict Events
Armed Conflict Location & Event Data Project (ACLED)
Humanitarian Access
Climatic Hazards
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% 
Administrative Divisions
OCHA Field Information Services Section (FISS)
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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  • 2000+ Downloads
    Updated 19 June 2022 | Dataset date: January 01, 2008-December 31, 2021
    This dataset updates: Every year
    Internally displaced persons are defined according to the 1998 Guiding Principles (http://www.internal-displacement.org/publications/1998/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. "People Displaced" refers to the number of people living in displacement as of the end of each year. "New Displacement" refers to the number of new cases or incidents of displacement recorded, rather than the number of people displaced. This is done because people may have been displaced more than once. Contains data from IDMC's Global Internal Displacement Database.
  • 50+ Downloads
    Updated 14 June 2022 | Dataset date: January 01, 2022-April 30, 2022
    This dataset updates: As needed
    The number of humanitarian incidents between 01 January and 30 Apr 2022, compiled by OCHA based on number of incidents reported by humanitarian access working group (HAG). This data is a snapshot as of 14 May 2022 and the numbers are expected to change as new assessment figures become available.
  • 30+ Downloads
    Updated 14 June 2022 | Dataset date: December 01, 2021-June 12, 2022
    This dataset updates: Every year
    Geo-coordinates of water points and safe water population coverage in Afghanistan.
  • 400+ Downloads
    Updated 23 May 2022 | Dataset date: January 01, 2019-December 31, 2021
    This dataset updates: As needed
    These datasets contain information on violent and threatening incidents affecting aid operations, education, health care, refugees and IDPs to ensure staff safety and better response outcomes.
  • 300+ Downloads
    Updated 18 May 2022 | Dataset date: January 01, 2021-April 30, 2022
    This dataset updates: As needed
    These datasets contains incidents in which aid access, education and healthcare services were impacted by explosive weapons. Insecurity Insight collaborates with the International Network on Explosive Weapons (INEW) in producing research and analysis on the harm and use of explosive weapons for the Explosive Weapons Monitor by documenting their effects on health care, education, and aid access. Every month the Explosive Weapons Monitor publishes a bulletin with incidents from around the world as reported in open sources.
  • 100+ Downloads
    Updated 26 April 2022 | Dataset date: January 01, 2022-March 31, 2022
    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.
  • 3100+ Downloads
    Updated 24 April 2022 | Dataset date: January 01, 2021-November 30, 2021
    This dataset updates: As needed
    Newly displaced population due to conflict between 01 January 2021 and 30 November 2021, compiled by OCHA sub offices based on inter-agency assessment results. This data is a snapshot as of 24 April 2022 and the numbers are expected to change as new assessment figures become available.
  • Updated 18 April 2022 | Dataset date: July 17, 2019-September 19, 2019
    This data is by request only
    Whole of Afghanistan Multi-Sectorial Assessment Conducted on Yearly Basis.
  • Updated 18 April 2022 | Dataset date: August 04, 2020-September 05, 2020
    This data is by request only
    Whole of Afghanistan Multi-Sectorial Needs Assessment Conducted on Yearly Basis.
  • Updated 18 April 2022 | Dataset date: August 04, 2021-September 30, 2021
    This data is by request only
    Whole of Afghanistan Multi-Sectorial Needs Assessment Conducted on Yearly Basis.
  • 10+ Downloads
    Updated 18 April 2022 | Dataset date: March 16, 2021-April 01, 2021
    This data is by request only
    Rapid Assessment Regarding Communication and Information Needs During Natural Disasters and Covid-19 in Afghanistan April,2020 and April 2021
  • 10+ Downloads
    Updated 18 April 2022 | Dataset date: March 16, 2021-April 01, 2021
    This dataset updates: As needed
    Rapid Assessment Regarding Communication and Information Needs During Natural Disasters
  • 400+ Downloads
    Updated 14 April 2022 | Dataset date: May 01, 2020-December 31, 2021
    This dataset updates: Every month
    JOINT MARKET MONITORING INITIATIVE (JMMI) Datasets for 2020 and 2021
  • 10+ Downloads
    Updated 14 April 2022 | Dataset date: January 01, 2022-January 31, 2022
    This dataset updates: Every month
    JOINT MARKET MONITORING INITIATIVE (JMMI) Datasets for the year 2022.
  • 10+ Downloads
    Updated 11 April 2022 | Dataset date: April 07, 2022-April 07, 2022
    This dataset updates: As needed
    Afghanistan administrative division with aggregated population. Built from Kontur Population: Global Population Density for 400m H3 Hexagons on top of OpenStreetMap administrative boundaries data. Enriched with HASC codes for regions taken from Wikidata. Gobal version of boundaries dataset: Kontur Boundaries: Global administrative division with aggregated population
  • Updated 10 April 2022 | Dataset date: January 25, 2021-March 28, 2021
    This dataset updates: Never
    Cash-based Interventions (CBIs) are a dignified form of assistance, giving recipients the ability to immediately prioritise and address their needs for food, shelter/accommodation, and other necessities. CBIs also directly complement community protection measures and support the local economy and can contribute to peaceful coexistence within and across communities. UNHCR Afghanistan has used cash-based interventions for several years for a wide range of purposes, including voluntary repatriation, basic needs, community-based protection, and livelihoods among others. UNHCR seeks to improve cash programming by regularly and systematically collecting information through post-distribution monitoring (PDM) on several aspects related to UNHCR’s CBIs including efficiency of cash delivery, access to markets, use of cash, unmet needs and coping strategies. Findings are expected to help UNHCR to improve the way the CBIs are designed and delivered. This PDM covers two CBI programmes delivered by UNHCR in in the Eastern Region of Afghanistan in 2020, cash for protection and cash for shelter. Cash for protection was designed to support households with specific protection profiles to cope with the socio-economic consequences of COVID-19 and avoid harmful coping strategies. Cash for shelter was designed to support vulnerable households with conditional cash grants to construct safe and dignified shelter. While the programmes were carried out countrywide, supporting 13,792 households with cash for protection and 506 with cash for shelter, the Eastern Region supported the largest number of CBI recipients. As such, this region was prioritized for the PDM data collection which took place in Kunar, Laghman, Nangarhar, and Nuristan provinces.
  • 10+ Downloads
    Updated 29 March 2022 | Dataset date: April 21, 2021-April 29, 2021
    This dataset updates: Every three months
    Conducting Assessment to identify HTR Areas (Hard to Reach Areas) on Quarterly Basis in Afghanistan
  • 100+ Downloads
    Updated 29 March 2022 | Dataset date: August 02, 2019-September 22, 2019
    This dataset updates: Every three months
    The Hard to Reach (HTR) Assessment was implemented by REACH Initiative in Afghanistan, in coordination with the Inter Cluster Coordination Team (ICCT) in country. The assessment aimed to address the humanitarian information gap on multi-sector needs and vulnerabilities of the population residing in hard-to-reach districts, as identified by the Humanitarian Access Group (HAG). The assessment employed a qualitative methodology of Key Informant Interviews (KIIs) across 100 selected HTR districts, covering 23 provinces. A total 3,114 KIIs were conducted between 2 August and 22 September 2019. As a qualitative methodology based on purposive sampling, findings should be considered indicative only.
  • 10+ Downloads
    Updated 29 March 2022 | Dataset date: July 19, 2020-August 02, 2020
    This dataset updates: Every three months
    Conducting Assessment to identify HTR Areas (Hard to Reach Areas) on Quarterly Basis in Afghanistan
  • Updated 28 March 2022 | Dataset date: January 13, 2020-February 06, 2020
    This dataset updates: Every three months
    Conducting Assessment to identify HTR Areas (Hard to Reach Areas) on Quarterly Basis in Afghanistan
  • Updated 28 March 2022 | Dataset date: January 02, 2021-January 14, 2021
    This dataset updates: Every three months
    Conducting Assessment to identify HTR Areas (Hard to Reach Areas) on Quarterly Basis in Afghanistan
  • 100+ Downloads
    Updated 28 March 2022 | Dataset date: March 07, 2022-August 09, 2022
    This dataset updates: Every six months
    This document is compiled by the Information Management team in the Global Health Cluster Unit GHCU, and aims to compile the figures relevant to Humanitarian Health response at global levels. The information is compiled from the last available data in public validated sources. See detailed info below. The data is mostly compiled from HRP and follows the structure of the Global Humanitarian Overview. For any ideas, updates, or corrections please contact Luis Hernando AGUILAR R (aguilarl@who.int) GHCU-IM team-lead. The data used as populations, names, and other designations are used only as a reference and do not imply any endorsement. The compilation is made by the Global Health Cluster IM team and it is expected to be updated. Not all the fields are available in the reviewed documents and it is expected to be complemented. Please see the version control table in the document
  • 30+ Downloads
    Updated 25 March 2022 | Dataset date: January 01, 2022-August 09, 2022
    This dataset updates: Every six months
    SURVEILLANCE SYSTEM FOR ATTACKS ON HEALTH CARE (SSA) The SSA displays data from countries with complex humanitarian emergencies, as mandated in resolution [WHA 65.20] This dataset contains 119 verified attacks against health activities. Is taken from the SSA system coordinated and maintained by WHO. For more information contact ssa@who.int http://ssa.who.int Dates 2022/01/01 - 2022/03/25
  • 20+ Downloads
    Updated 25 March 2022 | Dataset date: February 25, 2017-December 31, 2022
    This dataset updates: As needed
    SURVEILLANCE SYSTEM FOR ATTACKS ON HEALTH CARE (SSA) The SSA displays data from countries with complex humanitarian emergencies, as mandated in resolution [WHA 65.20] http://ssa.who.int This dataset contains 3018 verified attacks against health activities. Is taken from the SSA system coordinated and maintained by WHO. For more innformation contact ssa@who.int Dates 31/12/2021 25/02/2017
  • 200+ Downloads
    Updated 22 March 2022 | Dataset date: January 01, 2020-February 28, 2022
    This dataset updates: As needed
    These datasets comprise publicly reported cases of sexual violence by law enforcement bodies, conflict related sexual violence, and sexual violence that targets IDPs / refugees or vulnerable beneficiaries from information available in local, national and international news outlets and online databases. Dataset for South Sudan currently available. Other datasets covering the DRC, Ethiopia, Nigeria and South Sudan will soon be available.