Afghanistan

Data Grid Completeness Expand
Affected People
3 Datasets
Coordination & Context
5 Datasets
Food Security & Nutrition
3 Datasets
Geography & Infrastructure
4 Datasets
Health & Education
2 Datasets
Population & Socio-economy
2 Datasets
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
  • 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.
    1100+ Downloads
    This dataset updates: Never
  • Updated 28 February 2017 | Dataset date: January 01, 2016-March 01, 2016
    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
    This dataset updates: Never
  • Updated 25 November 2015 | Dataset date: March 21, 2015-March 19, 2016
    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.
    600+ Downloads
    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.
    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.
    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.
    This dataset updates: Never