Data Grid Completeness
89% 
17/19 Core Data 19 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.
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
  • No dataset found matching the criteria
Expand
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
5 Datasets
50%  50% 
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)
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
Refine your search: Clear all
Featured:
Locations:
More
Formats:
More
Organisations:
More
Tags:
More
Licenses:
More
  • 400+ Downloads
    Updated 7 November 2017 | Dataset date: January 01, 2016-December 31, 2016
    This dataset updates: Every year
    Number of Refugees returning to Afghanistan for the period of 1 January 2016 to 31 December 2016 by district of destination and origin.
  • 2400+ Downloads
    Updated 4 June 2017 | Dataset date: January 01, 2016-December 30, 2016
    This dataset updates: As needed
    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.
  • 1200+ Downloads
    Updated 16 May 2017 | Dataset date: May 16, 2017-May 16, 2017
    This dataset updates: Never
    This report considers present and recent past food security assessments for Afghanistan in the context of hydrology, climate change and conflict. Population comparisons by data source (UN OCHA, LandScan, WorldPop, and Gridded Population of the World) and rainfall anomalies from 2013-2016 accompany the report. The authors, Zainab al Badri, Atia Curtiss, and Zoe Garcia, completed their research in partial fulfillment of Public Health coursework in Medical Geography, for Spring 2017, at Drew University. Dr. Lisa Jordan edited the report and supplemented their work with additional spatial data.
  • 600+ Downloads
    Updated 28 February 2017 | Dataset date: January 01, 2016-March 01, 2016
    This dataset updates: Never
    In October, November and December 2016, a comprehensive mixed qualitative verification exercise was undertaken in Afghanistan. A secondary data review of assessment data identifying IDPs displaced between the 1st of January 2014 and 1st of March 2016 allowed an estimate of nationwide prolonged IDP locations and population. Field teams then verified through key informant interviews, data requests and field visits to verify the populations found at each location, and snowballed to widen the geographic coverage. The final dataset presented here is the list of locations verified, with estimated populations.
  • 600+ Downloads
    Updated 25 November 2015 | Dataset date: March 21, 2015-March 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.
  • Updated 10 August 2015 | Dataset date: May 08, 2014-May 08, 2014
    This dataset updates: Never
    This map illustrates satellite-detected areas of landslide damage in the village of Ab Barek, Badakshan, Afghanistan. Following heavy rains in the region, a landslide partially buried Ab Barek on 2 May 2014. Using a satellite image acquired 5 May 2014 by the WorldView-2 satellite, UNOSAT delineated the landslide area. In addition, areas of IDPs, relief operations, and water pooling due to the landslide are indicated as of 5 May. The 5 May 2014 image was compared to an image from 7 June 2013 in an attempt to determine how many structures were buried, and a total of 87 such structures were located. However, between 7 June 2013 and the occurrence of the landslide Ab Barek had changed and grown considerably, and thus its possible additional buried structures exist which are not identified in this analysis. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.
  • Updated 10 August 2015 | Dataset date: May 01, 2014-May 01, 2014
    This dataset updates: Never
    This map illustrates satellite-detected flooded areas of Khwajah Du Koh, Jawzjan Province, Afghanistan as seen on WorldView-2 satellite imagery collected 29 April 2014. Heavy rainfall occurred on 23-24 April 2014, flooding a large part of the town. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks, and within built-up urban areas because of the special characteristics of the satellite data used. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR /UNOSAT.
  • Updated 10 August 2015 | Dataset date: May 02, 2014-May 02, 2014
    This dataset updates: Never
    This map illustrates potenital satellite-detected inundated areas and water in and north of Sar-E Pol city, Afghanistan. UNOSAT analyzed imagery from the Pleiades satellite collected 1 May 2014 in response to heavy rainfall occurring on 23-24 April 2014. UNOSAT extracted areas of water and inundated soils to indicate likely flood affected lands. This map includes both permanent water bodies, such as streams, and potential flood waters together due to limitations in source data. It is likely that flood waters and inundation have been systematically underestimated along highly vegetated areas and within built-up urban areas because of the special characteristics of the satellite data used. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR /UNOSAT.