Key Figures
Data Completeness
11/27 Core Data 26 Datasets 13 Organisations Show legend
What is Data Completeness?
Data 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 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
8 Datasets
Internally-Displaced Persons
Refugees & Persons of Concern
Humanitarian Profile Locations
Humanitarian Needs
Casualties
Armed Conflict Location & Event Data Project (ACLED)
Coordination & Context
6 Datasets
3w - Who is doing what where
International Aid Transparency Initiative
Conflict Events
Armed Conflict Location & Event Data Project (ACLED)
Humanitarian Access
Transportation Status
Damaged & Destroyed Buildings
Food Security & Nutrition
3 Datasets
Global Acute Malnutrition Rate
Severe Acute Malnutrition Rate
Food Prices
WFP - World Food Programme
Geography & Infrastructure
5 Datasets
Populated Places
Roads
Humanitarian OpenStreetMap Team (HOT)
OCHA Afghanistan
Airports
Health & Education
4 Datasets
Health Facilities
Global Healthsites Mapping Project
Education Facilities
Affected Schools
Population & Socio-economy
2 Datasets
Baseline Population by Age & Sex
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  • 100+ Downloads
    Updated January 28, 2020 | Dataset date: Jan 28, 2020
    This dataset updates: Every month
    This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long
  • 1300+ Downloads
    Updated January 28, 2020 | Dataset date: Jan 1, 2017-Dec 31, 2019
    This dataset updates: Every month
    This page provides the data published in the Education in Danger Monthly News Brief. The first dataset covers events where educators were killed, kidnapped or arrested (KKA) and incidents where schools were damaged or destroyed by a perpetrator including state and non-state actors, criminals, individuals, students and other staff members. The second dataset includes threats and incidents of violence as well as protests and other events affecting education in 2018. For a breakdown on the number of educators killed, kidnapped or arrested (KKA), see In Harms Way dataset. All data contains incidents identified in open sources. Categorized by country.
  • 1100+ Downloads
    Updated January 28, 2020 | Dataset date: Jan 1, 2019-Jan 27, 2020
    This dataset updates: Every day
    Number of Refugees returning to Afghanistan for the period of 01 to 27 January 2020 by district of destination and origin.
  • 4800+ Downloads
    Updated January 28, 2020 | Dataset date: Jan 28, 2020
    This dataset updates: Every day
    FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's Financial Tracking Service, is encoded as utf-8 and the second row of the CSV contains HXL tags.
  • Updated January 27, 2020 | Dataset date: Jan 1, 2007-Dec 31, 2014
    This dataset updates: As needed
    This layer contains information about the food insecurity levels estimated during the Integrated Context Analysis (ICA) run in Afghanistan in 2016. Data source: National Risk and Vulnerability Assessment (NRVA) 2007/08, Afghanistan Living Condition Survey (ALCS) 2011/12 and 2014. To assess the food security trend, the threshold was set to 30% because very close to the national average according to the three assessments considered. The key indicators used for the analysis were the recurrences above the threshold, the average against national average and variability/stability. Original dataset title: ICA Afghanistan, 2016 - Food Insecurity Risk, 2007/08-2014
  • Updated January 27, 2020 | Dataset date: Jan 1, 2019-Dec 31, 2019
    This dataset updates: As needed
    This layer contains information about the severity of natural hazards (floods, drought and landslides) estimated during the Integrated Context Analysis (ICA) performed in Afghanistan in 2019. Data sources: GHM 2009, UNEP/UNISDR GAR 2013, HQ VAM Analysis of NDVI, NASA Terra MODIS 2013-2018. Original dataset title: ICA Afghanistan, 2019 - Natural shock hazard
  • Updated January 27, 2020 | Dataset date: Jan 1, 2013-Dec 31, 2013
    This dataset updates: As needed
    This layer contains information about the landslide hazard estimated during the Integrated Context Analysis (ICA) run in Afghanistan in 2019. Data source: UNEP/UNISDR Global Assessment of Risk (GAR), 2013. The key indicators used for the analysis were the percentage of surface area affected by landslide risk and the maximum expected frequency of landslide events. Original dataset title: ICA Afghanistan, 2019 - Landslide hazard, 2013
  • Updated January 27, 2020 | Dataset date: Jan 1, 2016-Dec 31, 2016
    This dataset updates: As needed
    This layer contains information about the natural shocks risk (floods, droughts and landslides) estimated during the Integrated Context Analysis (ICA) run in Afghanistan in 2016. Data source: NATO GHM 2009, HQ VAM Analysis of CHIRPS RFE 2011-2015, UNEP/UNISDR GAR 2013, Original dataset title: ICA Afghanistan, 2016 - Natural Shocks Risk
  • Updated January 27, 2020 | Dataset date: Jan 1, 2007-Dec 31, 2014
    This dataset updates: As needed
    This layer contains informaton about the estimated number of food insecure people for long-term planning deriving from the Integrated Context Analysis (ICA) run in Afghanistan in 2016. Data source: NRVA 2007/08, ALCS 2011/12, ALCS 2014. Original dataset title: ICA Afghanistan, 2016 - Estimated Numbers of Food Insecure People, 2007/08-2014
  • Updated January 27, 2020 | Dataset date: Jan 1, 2019-Dec 31, 2019
    This dataset updates: As needed
    This layer contains information about the final classification deriving from the Integrated Context Analysis (ICA) run in Afghanistan in 2019, showing the areas of convergence between recurrence of total food insecurity and propensity to natural shocks (floods, landslides and drought). Original dataset title: ICA Afghanistan, 2019 - ICA Categories & Areas
  • Updated January 27, 2020 | Dataset date: Jan 1, 2013-Dec 31, 2013
    This dataset updates: As needed
    This layer contains information about the malnutrition level estimated during the Integrated Context Analysis (ICA) run in Afghanistan in 2016. Data source: National Nutrition Survey (NNS), 2013. The key indicator used for the analysis was the prevalence of stunting, collected during the assessment by provincial (first-level administrative unit) level. Original dataset title: ICA Afghanistan, 2016 - Prevalence of Stunting, 2013
  • Updated January 27, 2020 | Dataset date: Jan 1, 2013-Dec 31, 2018
    This dataset updates: As needed
    This layer contains information about the drought hazard estimated during the Integrated Context Analysis (ICA) performed in Afghanistan in 2019. Data source: HQ VAM Analysis of NDVI, NASA Terra MODIS 2013-2018. The key indicator used for the purposes of the analysis was the average number of poor growing seasons observed in the time frame of interest - by definition, in the context of this specific analysis, it is considered a poor growing season when the NDVI observed in the single year is significantly below (less than 85%) the long-term average, calculated over the last 18 years. Original dataset title: ICA Afghanistan, 2019 - Drought hazard, 2013-2018
  • Updated January 27, 2020 | Dataset date: Jan 1, 2009-Dec 31, 2009
    This dataset updates: As needed
    This layer contains information about the flood risk estimated during the Integrated Context Analysis (ICA) run in Afghanistan in 2016. The results are still valid for the new ICA performed in 2019. Data source: NATO Global Hazard Model (GHM), 2009. The key indicators used for the analysis were the percentage of surface affected by flood risk and the maximum depth recorded during the flood events. Original dataset title: ICA Afghanistan, 2016 & 2019 - Flood Hazard, 2009
  • Updated January 27, 2020 | Dataset date: Jan 1, 2013-Dec 31, 2013
    This dataset updates: As needed
    This layer contains information about the landslide risk estimated during the Integrated Context Analysis (ICA) run in Afghanistan in 2016. Data source: UNEP/UNISDR Global Assessment of Risk (GAR), 2013. The key indicators used for the analysis were the percentage of surface area affected by landslide risk and the maximum expected frequency of landslide events. Original dataset title: ICA Afghanistan, 2016 - Landslide Risk, 2013
  • Updated January 27, 2020 | Dataset date: Jan 1, 2016-Dec 31, 2016
    This dataset updates: As needed
    This layer contains information about the risk of rapid on-set shocks (floods and landslides) estimated during the Integrated Context Analysis (ICA) run in Afghanistan in 2016. Data source: NATO Global Hazard Model 2009, UNEP/UNISDR GAR 2013. Original dataset title: ICA Afghanistan, 2016 - Rapid On-Set Shocks Risk
  • Updated January 27, 2020 | Dataset date: Jan 1, 2011-Dec 31, 2015
    This dataset updates: As needed
    This layer contains information about the drought risk estimated during the Integrated Context Analysis (ICA) run in Afghanistan in 2016. Data source: HQ VAM Analysis of CHIRPS Rainfall Estimates (RFE), 2011-2015. The key indicator used for the analysis was the overall number of poor growing seasons. Original dataset title: ICA Afghanistan, 2016 - Drought Risk, 2011-2015
  • Updated January 27, 2020 | Dataset date: Jan 1, 2013-Dec 31, 2014
    This dataset updates: As needed
    ALCS 2013/14 (CSO Original dataset title: Afghanistan Percentage of Food Insecure Population Based on Combined Food Consumption Score and Coping Strategy Index by Province - ALCS 2013/14
  • Updated January 27, 2020 | Dataset date: May 1, 2016-May 31, 2016
    This dataset updates: As needed
    Security issue by settlement Original dataset title: Afghanistan Areas of control by settlement - May 2016
  • Updated January 27, 2020 | Dataset date: Jan 1, 2007-Dec 31, 2018
    This dataset updates: As needed
    This layer contains information about the recurrence of total food insecurity estimated during the Integrated Context Analysis (ICA) run in Afghanistan in 2019. Data source: National Risk and Vulnerability Assessment (NRVA) 2007/08, Afghanistan Living Condition Survey (ALCS) 2011/12, 2014 and 2017/18. To assess the food security trend, the threshold was set to 30% because very close to the national average according to the four assessments considered. The key indicator used for the analysis was the recurrence of food insecurity above the threshold. Original dataset title: ICA Afghanistan, 2019 - Recurrence of Total Food Insecurity, 2007-2018
  • Updated January 27, 2020 | Dataset date: Aug 18, 2019
    This dataset updates: As needed
    Accessibility information by WFP Operation/Security Units,18 August 2019. Original dataset title: Afghanistan: District Accessibility for WFP and Partners Staff as of 18 August 2019
  • Updated January 27, 2020 | Dataset date: Jan 1, 2007-Dec 31, 2018
    This dataset updates: As needed
    This layer contains information about the recurrence of severe and very severe food insecurity estimated during the Integrated Context Analysis (ICA) run in Afghanistan in 2019. Data source: National Risk and Vulnerability Assessment (NRVA) 2007/08, Afghanistan Living Condition Survey (ALCS) 2011/12, 2014 and 2017/18. To assess the food security trend and considering an average national food insecurity close to 30%, the threshold was set to 10% to better identify the most vulnerable districts. The key indicator used for the analysis was the recurrence of severe and very severe food insecurity above the threshold. Original dataset title: ICA Afghanistan, 2019 - Recurrence of Severe and Very Severe Food Insecurity, 2007-2018
  • Updated January 27, 2020 | Dataset date: Jan 1, 2001-Dec 31, 2016
    This dataset updates: As needed
    This layer contains information about the land degradation phenomenon - by second-level administrative area - observed for the purposes of the Integrated Context Analysis (ICA) run in Afghanistan in 2019. Data sources: HQ OSE GIS Analysis of NASA MODIS 2001-2016, WorldClim 1970-2000, FAO and NASA SRTM Digital Elevation Model data. The main indicators used for the analysis were the average ecological changes observed between 2001-2006 and 2011-2016 and the percentage of erosion-prone surface. Original dataset title: ICA Afghanistan, 2019 - Land Degradation, 2001-2016
  • Updated January 27, 2020 | Dataset date: Jan 1, 2007-Dec 31, 2018
    This dataset updates: As needed
    This layer contains information about the number of food insecure people calculated out of the food security assessments used in the Integrated Context Analysis (ICA) run in Afghanistan in 2019. Data sources: The key indicators used for the purposes of the analysis were the percentage of food insecure people for long-term planning and the numbers of additional food insecure people in case of a major shock. Original dataset title: ICA Afghanistan, 2019 - Estimates of Food Insecure People, 2007-2018
  • Updated January 27, 2020 | Dataset date: Jan 1, 2018-Dec 31, 2018
    This dataset updates: As needed
    This layer contains information about the malnutrition levels observed during the Integrated Context Analysis (ICA) run in Afghanistan in 2019. Data source: Afghanistan Health Survey (AHS), 2018. The key indicator used for the purposes of the analysis was the prevalence of Global Acute Malnutrition (GAM) in children below 5 years of age. Original dataset title: ICA Afghanistan, 2019 - Prevalence of Global Acute Malnutrition (GAM), 2018
  • Updated January 27, 2020 | Dataset date: Jan 1, 2015-Dec 31, 2015
    This dataset updates: Every year
    Contains data from the DHS data portal. There is also a dataset containing Afghanistan - National Demographic and Health Data on HDX. The DHS Program Application Programming Interface (API) provides software developers access to aggregated indicator data from The Demographic and Health Surveys (DHS) Program. The API can be used to create various applications to help analyze, visualize, explore and disseminate data on population, health, HIV, and nutrition from more than 90 countries.