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
Datasets [206] | Archived Datasets[37] [?]
  • Updated 8 May 2021 | Dataset date: January 01, 2013-December 31, 2013
    1) Natural disaster events include avalanches, extreme winter conditions, flooding, heavy rainfall, landslides & mudflows, and extreme weather (sandstorms, hail, wind, etc) as recorded by OCHA field offices and IOM Afghanistan Humanitarian Assistance Database (HADB). 2) A natural disaster incident is defined as an event that has affected (i.e. impacted) Afghans, who may or may not require humanitarian assistance. 3) HADB information is used as a main reference and supplemented by OCHA Field Office reports for those incidents where information is not available from the HADB. OCHA information includes assessment figures from OCHA, ANDMA, Red Crescent Societies, national NGOs, international NGOs, and ERM.
    600+ Downloads
    This dataset updates: Never
  • This is "Flood vectors - Worldview-2 (29 April 2014)" of the Flood analysis for Afghanistan which began on 30 April 2014. It includes 6,738 satellite detected water bodies with a spatial extent of 2.55 square kilometers derived from the Worldview-2 image ...
    30+ Downloads
    This dataset updates: Never
  • This is "Flood vectors - Worldview-2 (07 May 2014)" of the Flood analysis for Afghanistan which began on 30 April 2014. It includes 285 satellite detected water bodies with a spatial extent of 0.12 square kilometers derived from the Worldview-2 image acqu...
    This dataset updates: Never
  • This is "Flood vectors - Worldview-2 (05 May 2014)" of the Flood analysis for Afghanistan which began on 30 April 2014. It includes 3 satellite detected water bodies with a spatial extent of 0.02 square kilometers derived from the Worldview-2 image acquir...
    This dataset updates: Never
  • This is "Flood vectors - Worldview-2 (13 May 2014)" of the Flood analysis for Afghanistan which began on 30 April 2014. It includes 581 satellite detected water bodies with a spatial extent of 45.03 square kilometers derived from the Worldview-2 image acq...
    20+ Downloads
    This dataset updates: Never
  • This is "Flood vectors - Pleiades (01 May 2014)" of the Flood analysis for Afghanistan which began on 30 April 2014. It includes 631 satellite detected water bodies with a spatial extent of 2.95 square kilometers derived from the Pleiades image acquired o...
    10+ Downloads
    This dataset updates: Never
  • Updated 20 April 2021 | Dataset date: April 01, 2015-June 30, 2015
    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.
    900+ Downloads
    This dataset updates: Never
  • Updated 10 November 2019 | Dataset date: October 01, 2015-December 31, 2015
    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.
    1000+ Downloads
    This dataset updates: Never
  • Updated 10 November 2019 | Dataset date: January 01, 2015-March 31, 2015
    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.
    900+ Downloads
    This dataset updates: Never
  • Updated 10 November 2019 | Dataset date: September 01, 2011-August 31, 2014
    The dataset includes the provincial level indicators, index scores and caseloads of the need and vulnerability analysis carried out for the Afghanistan 2015 Humanitarian Response Plan. The full methodology and detailed data can be downloaded via the following URL: https://www.humanitarianresponse.info/operations/afghanistan/document/onvi-guidance-note-afghanistan-hrp-2015
    200+ Downloads
    This dataset updates: Never
  • Updated 10 November 2019 | Dataset date: January 01, 2015-December 31, 2015
    1) Natural disaster events include avalanches,earthquake, flooding, heavy rainfall & snowfall, and landslides & mudflows as recorded by OCHA field offices and IOM Afghanistan Humanitarian Assistance Database (HADB). 2) A natural disaster incident is defined as an event that has affected (i.e. impacted) people, who may or may not require humanitarian assistance. 3) HADB information is used as a main reference and supplemented by OCHA Field Office reports for those incidents where information is not available from the HADB. OCHA information includes assessment figures from OCHA, ANDMA, Red Crescent Societies, national NGOs, international NGOs, and ERM. 4) The number of affected people and houses damaged or destroyed are based on the reports received. These figures may change as updates are received.
    400+ Downloads
    This dataset updates: Never
  • Updated 10 November 2019 | Dataset date: January 01, 2012-December 31, 2012
    1) Natural disaster events include avalanches, extreme winter conditions, flooding, heavy rainfall, landslides & mudflows, and extreme weather (sandstorms, hail, wind, etc) as recorded by OCHA field offices. 2) A natural disaster incident is defined as an event that has affected (i.e. impacted) Afghans, who may or may not require humanitarian assistance. 3) HADB information is used as a main reference and supplemented by OCHA Field Office reports for those incidents where information is not available from the HADB. OCHA information includes assessment figures from OCHA, ANDMA, Red Crescent Societies, national NGOs, international NGOs, and ERM.
    300+ Downloads
    This dataset updates: Never
  • Updated 30 October 2018 | Dataset date: December 23, 2015-December 23, 2015
    This dataset contains the daily summaries on base stations across Afghanistan. The four indicators included are: TPCP: Total precipitation MXSD: Maximum snow depth TSNW: Total snow fall EMXP: Extreme maximum daily precipitation Indicators are compiled by the National Centers for Environmental Information (NCEI), which is administrated by National Oceanic and Atmospheric Administration (NOAA) an organization part of the United States government. NOAA has access to data collected from thousands of base stations around the world, which collect data periodically on weather and climate conditions. This dataset contains the latest 5 years of available data.
    200+ Downloads
    This dataset updates: Never
  • Updated 2 January 2018 | Dataset date: January 01, 2013-December 31, 2013
    Number of refugees returning to Afghanistan for the period 1 January 2013 to 31 December 2013 by district of destination and origin.
    500+ Downloads
    This dataset updates: Never
  • Updated 2 January 2018 | Dataset date: January 01, 2014-December 31, 2014
    Number of refugees returning to Afghanistan for the period 1 January 2014 to 31 December 2014 by district of destination and origin.
    400+ Downloads
    This dataset updates: Never
  • Updated 3 May 2017 | Dataset date: January 01, 2000-December 31, 2014
    This dataset contains information on the locations and sectors of activity of 891 international and local (Afghan) that operated in Afghanistan between 2000 and 2014. Columns for the name of the the NGO, year founded, nationality, sectors of activity and location of activity and period of activity are provided for each NGO listed. Provincial, annual and sector breakdowns are also provided. Source: Mitchell, David F. 2017. "NGO Presence and Activity in Afghanistan, 2000–2014: A Provincial-Level Dataset." Stability: International Journal of Security and Development 6(1). DOI: http://doi.org/10.5334/sta.497
    1600+ Downloads
    This dataset updates: Never
  • Updated 29 January 2016 | Dataset date: December 31, 2015-December 31, 2015
    The GAR15 global exposure database is based on a top-down approach where statistical information including socio-economic, building type, and capital stock at a national level are transposed onto the grids of 5x5 or 1x1 using geographic distribution of population data and gross domestic product (GDP) as proxies.
    100+ Downloads
    This dataset updates: Never
  • This map illustrates satellite-detected potentially damaged structures in the area of Puli Khumri, Baghlan Province, Afghanistan. The Puli Khumri area is located approximately 190 kilometers southwest of the 26 October 2015 earthquake epicenter. Using Pleiades satellite imagery acquired 03 November 2015 and WorldView-2 imagery from 01 September 2014, UNITAR - UNOSAT identified 133 potentially damaged structures. Note that some areas heavily damaged in the south of Qahwakhana appear to have also been affected by a limited landslide. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
    10+ Downloads
    This dataset updates: Never
  • This map illustrates satellite-detected potential damaged structures in the area of Fayzabad in Badakhshan province, Afghanistan, located at approximately 100 kilometers north of the epicenter of the 26 October 2015 earthquake. Using a Pléiades satellite image acquired 28 October 2015 and a WorldView-3 image acquired 20 June 2015, UNITAR/UNOSAT identified 79 potentially damaged structures. Specifically, 4 potentially damaged structures are located in the city of Fayzabad and 75 on the outskirts of the city and settlements in the area of Fayzabad. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
    10+ Downloads
    This dataset updates: Never
  • This map illustrates satellite-detected potential damaged structures in the city of Kunduz in Afghanistan, approximately 200 kilometers from the epicenter of the 26 October 2015 earthquake. Using a Pléiades satellite image acquired 28 October 2015 and a WorldView-2 image acquired 21 October 2015, UNITAR/UNOSAT did not observe major destruction related to the earthquake in Kunduz. However, a total of 12 potentially affected structures in Kunduz were identified. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
    10+ Downloads
    This dataset updates: Never
  • Updated 14 October 2015 | Dataset date: July 31, 2015-July 31, 2015
    This Archive contains shapefiles for FEWS NET Food Security Outlook for Central Asia. It was last updated on July 31, 2015. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: centralasia201304_ML1 Most likely food security outcome for July-September 2015 centralasia201304_ML2 Most likely food security outcome for October-December 2015 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
    10+ Downloads
    This dataset updates: Never
  • Updated 14 October 2015 | Dataset date: April 30, 2015-April 30, 2015
    This Archive contains shapefiles for FEWS NET Food Security Outlook for Central Asia. It was last updated on April 30, 2015. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: centralasia201304_ML1 Most likely food security outcome for April-June 2015 centralasia201304_ML2 Most likely food security outcome for July-September 2015 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
    This dataset updates: Never
  • Updated 14 October 2015 | Dataset date: February 11, 2015-February 11, 2015
    This Archive contains shapefiles for FEWS NET Food Security Outlook for Central Asia. It was last updated on February 11, 2015. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: centralasia201304_ML1 Most likely food security outcome for January-March 2015 centralasia201304_ML2 Most likely food security outcome for April-June 2015 Where xx is one of the region codes listed above. Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
    This dataset updates: Never
  • Updated 14 October 2015 | Dataset date: October 01, 2014-October 01, 2014
    This Archive contains shapefiles for FEWS NET Food Security Outlook for Central Asia. It was last updated on November 13, 2014. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: CA201304_ML1 Most likely food security outcome for October-December 2014 CA201304_ML2 Most likely food security outcome for January-March 2015 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
    This dataset updates: Never
  • Updated 14 October 2015 | Dataset date: July 01, 2014-July 01, 2014
    This Archive contains shapefiles for FEWS NET Food Security Outlook for Central Asia. It was last updated on August 01, 2014. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: CA201304_ML1 Most likely food security outcome for July-September 2014 CA201304_ML2 Most likely food security outcome for October-December 2014 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
    This dataset updates: Never