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.
Legend:
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
Updated
24 June 2022
| Dataset date: January 01, 2021-December 31, 2021
Afghanistan administrative levels 0 (country), and 1 (province) population statistics.
REFERENCE YEAR: 2021 estimates based on 2017 study conducted by Flowminder/UNFPA.
Dataset updated by OCHA in 2021.
The gazetteer is compatible with the Afghanistan - Subnational Administrative Boundaries gazetteer. (COD-AB boundaries are unavailable.)
Updated
19 June 2022
| Dataset date: January 01, 2008-December 31, 2021
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.
Updated
14 June 2022
| Dataset date: January 01, 2022-April 30, 2022
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.
Updated
23 May 2022
| Dataset date: January 01, 2019-December 31, 2021
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.
Updated
18 May 2022
| Dataset date: January 01, 2021-April 30, 2022
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.
Updated
26 April 2022
| Dataset date: January 01, 2022-March 31, 2022
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
24 April 2022
| Dataset date: January 01, 2021-November 30, 2021
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
11 April 2022
| Dataset date: April 07, 2022-April 07, 2022
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
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.
Updated
29 March 2022
| Dataset date: August 02, 2019-September 22, 2019
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.
Updated
22 March 2022
| Dataset date: January 01, 2020-February 28, 2022
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.
