Afghanistan

Data Grid Completeness Expand
Affected People
3 Datasets
100% 
Coordination & Context
6 Datasets
50%  33%  16% 
Food Security & Nutrition
3 Datasets
100% 
Geography & Infrastructure
4 Datasets
100% 
Health & Education
2 Datasets
100% 
Population & Socio-economy
2 Datasets
100% 
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
  • Updated 21 July 2020 | Dataset date: December 23, 2021-December 23, 2021
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity IN ('kindergarten','school','college','university') OR building IN ('kindergarten','school','college','university') Features may have these attributes: addr:full capacity:persons operator:type name building addr:city amenity source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
    90+ Downloads
    This dataset updates: Every month
  • Updated 21 July 2020 | Dataset date: December 23, 2021-December 23, 2021
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: railway IN ('rail','station') Features may have these attributes: addr:full name operator:type railway layer addr:city ele source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
    80+ Downloads
    This dataset updates: Every month
  • Updated 15 July 2020 | Dataset date: December 23, 2021-December 23, 2021
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: amenity IS NOT NULL OR man_made IS NOT NULL OR shop IS NOT NULL OR tourism IS NOT NULL Features may have these attributes: rooms addr:full addr:housenumber addr:street name beds opening_hours man_made addr:city tourism shop amenity source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
    70+ Downloads
    This dataset updates: Every month
  • Updated 15 July 2020 | Dataset date: December 23, 2021-December 23, 2021
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: highway IS NOT NULL Features may have these attributes: smoothness lanes surface name highway width layer bridge source oneway This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
    100+ Downloads
    This dataset updates: Every month
  • Updated 14 July 2020 | Dataset date: December 23, 2021-December 23, 2021
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: waterway IS NOT NULL OR water IS NOT NULL OR natural IN ('water','wetland','bay') Features may have these attributes: depth natural covered name width tunnel blockage layer water waterway source This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
    100+ Downloads
    This dataset updates: Every month
  • Updated 14 July 2020 | Dataset date: December 23, 2021-December 23, 2021
    OpenStreetMap exports for use in GIS applications. This theme includes all OpenStreetMap features in this area matching: building IS NOT NULL Features may have these attributes: name addr:housenumber office source addr:full building building:materials addr:street building:levels addr:city This dataset is one of many OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.
    60+ Downloads
    This dataset updates: Every month
  • Updated 29 June 2020 | Dataset date: January 01, 2000-December 31, 2020
    WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset. A description of the modelling methods used for age and sex structures can be found in Tatem et al and Pezzulo et al. Details of the input population count datasets used can be found here, and age/sex structure proportion datasets here. Both top-down 'unconstrained' and 'constrained' versions of the datasets are available, and the differences between the two methods are outlined here. The datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World structured by male/female and 5-year age classes (plus a <1 year class). These efforts necessarily involved some shortcuts for consistency. The unconstrained datasets are available for each year from 2000 to 2020. The constrained datasets are only available for 2020 at present, given the time periods represented by the building footprint and built settlement datasets used in the mapping. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00646
    30+ Downloads
    This dataset updates: Every year
  • Updated 29 June 2020 | Dataset date: January 01, 2014-December 31, 2018
    The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of pregnancies to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age, age-specific fertility rates, still births and abortions to map the estimated distributions of pregnancies for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in Tatem et al and James et al.. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2018. Afghanistan 1km Pregnancies. Version 2.0 2015 estimates of numbers of pregnancies per grid square, with national totals adjusted to match national estimates on numbers of pregnancies made by the Guttmacher Institute (http://www.guttmacher.org) DOI: 10.5258/SOTON/WP00591
    This dataset updates: Every year
  • Updated 29 June 2020 | Dataset date: January 01, 2014-December 31, 2018
    The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of live births to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age and age-specific fertility rates to map the estimated distributions of births for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in Tatem et al. and James et al.. Data for earlier dates is available directly from WorldPop. WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2018. Afghanistan 1km Births. Version 2.0 2015 estimates of numbers of live births per grid square, with national totals adjusted to match UN national estimates on numbers of live births (http://esa.un.org/wpp/). DOI: 10.5258/SOTON/WP00540
    10+ Downloads
    This dataset updates: Every year
  • Updated 13 May 2020 | Dataset date: January 01, 2017-August 31, 2022
    The IPC Acute Food Insecurity (IPC AFI) classification provides strategically relevant information to decision makers that focuses on short-term objectives to prevent, mitigate or decrease severe food insecurity that threatens lives or livelihoods. This data has been produced by the National IPC Technical Working Groups for IPC population estimates since 2017. All national population figures are based on official country population estimates. IPC estimates are those published in country IPC reports.
    400+ Downloads
    This dataset updates: As needed
  • Updated 6 May 2020 | Dataset date: January 01, 2020-December 31, 2020
    This data contains the number of people in need, internally displaced persons (IDPs), returnees and refugees for 25 countries.
    1200+ Downloads
    This dataset updates: Every year
  • Updated 6 May 2020 | Dataset date: March 26, 2020-March 26, 2020
    Data on unmitigated(no intervention) COVID-19 scenarios for OCHA HRP countries. Simulation done by Imperial College London.
    1100+ Downloads
    This dataset updates: As needed
  • Updated 6 May 2020 | Dataset date: May 05, 2020-May 05, 2020
    This dataset contains simulation ­based estimates for COVID­-19 epidemic scenarios in OCHA HRP countries. Simulation is done by London School of Hygiene & Tropical Medicine(LSHTM).
    1200+ Downloads
    This dataset updates: As needed
  • Updated 13 April 2020 | Dataset date: April 13, 2020-April 13, 2020
    This dataset contains information about COVID-19 health facilities and testing capacity per province in Afghanistan.
    60+ Downloads
    This dataset updates: As needed
  • Updated 20 March 2020 | Dataset date: January 01, 2015-December 31, 2015
    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.
    3000+ Downloads
    This dataset updates: Every year
  • Updated 20 March 2020 | Dataset date: January 01, 2015-December 31, 2015
    Contains data from the DHS data portal. There is also a dataset containing Afghanistan - Subnational 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.
    4100+ Downloads
    This dataset updates: Every year
  • Updated 3 March 2020 | Dataset date: January 01, 2019-December 30, 2019
    Newly displaced population due to conflict between 01 January 2019 and 30 December 2019, compiled by OCHA sub offices based on inter-agency assessment results. This data is a snapshot as of 03 March 2020 and the numbers are expected to change as new assessment figures become available.
    2700+ Downloads
    This dataset updates: Never
  • Updated 30 January 2020 | Dataset date: October 01, 2019-December 31, 2019
    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.
    1400+ Downloads
    This dataset updates: Every three months
  • Updated 27 January 2020 | Dataset date: January 01, 2013-December 31, 2014
    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
    30+ Downloads
    This dataset updates: As needed
  • Updated 27 January 2020 | Dataset date: January 01, 2009-December 31, 2009
    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
    50+ Downloads
    This dataset updates: As needed
  • Updated 27 January 2020 | Dataset date: January 01, 2011-December 31, 2015
    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
    50+ Downloads
    This dataset updates: As needed
  • Updated 27 January 2020 | Dataset date: January 01, 2013-December 31, 2013
    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
    20+ Downloads
    This dataset updates: As needed
  • Updated 27 January 2020 | Dataset date: January 01, 2016-December 31, 2016
    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
    This dataset updates: As needed
  • Updated 27 January 2020 | Dataset date: January 01, 2016-December 31, 2016
    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
    10+ Downloads
    This dataset updates: As needed
  • Updated 27 January 2020 | Dataset date: August 01, 2007-December 31, 2014
    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
    20+ Downloads
    This dataset updates: As needed