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 27 January 2020 | Dataset date: August 01, 2007-December 31, 2014
    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
    10+ Downloads
    This dataset updates: As needed
  • Updated 27 January 2020 | Dataset date: January 01, 2013-December 31, 2013
    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
    This dataset updates: As needed
  • Updated 27 January 2020 | Dataset date: January 01, 2013-December 31, 2013
    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
    20+ Downloads
    This dataset updates: As needed
  • Updated 27 January 2020 | Dataset date: January 01, 2013-December 31, 2018
    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
    30+ Downloads
    This dataset updates: As needed
  • Updated 27 January 2020 | Dataset date: January 01, 2019-December 31, 2019
    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
    10+ Downloads
    This dataset updates: As needed
  • Updated 27 January 2020 | Dataset date: January 01, 2007-December 31, 2018
    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
    10+ Downloads
    This dataset updates: As needed
  • Updated 27 January 2020 | Dataset date: January 01, 2019-December 31, 2019
    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
    10+ Downloads
    This dataset updates: As needed
  • Updated 27 January 2020 | Dataset date: January 01, 2001-December 31, 2016
    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
    30+ Downloads
    This dataset updates: As needed
  • Updated 27 January 2020 | Dataset date: January 01, 2007-December 31, 2018
    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
    10+ Downloads
    This dataset updates: As needed
  • Updated 27 January 2020 | Dataset date: January 01, 2007-December 31, 2018
    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
    10+ Downloads
    This dataset updates: As needed
  • Updated 27 January 2020 | Dataset date: August 18, 2019-August 18, 2019
    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
    30+ Downloads
    This dataset updates: As needed
  • Updated 10 December 2019 | Dataset date: July 17, 2019-September 19, 2019
    Structured household surveys were conducted using Open Data Kit (KoBo Toolbox) amongst a sample of 31,343 displaced and shock-affected households in accessible areas throughout all 34 provinces. The household survey was based on a random cluster sample, stratified by 8 population groups: recent IDPs (< 6 months), non-recent IDPs (> 6 months), cross-border returnees, non-displaced conflict-affected, non-displaced natural disaster-affected, refugees (in South-Eastern region only), IDP returnees (in Badghis province only), and host communities.
    This dataset updates: Every year
  • Updated 6 December 2019 | Dataset date: January 01, 2018-December 31, 2018
    1) Natural disaster events include avalanches, drought, earthquakes, flooding, heavy rainfall & snowfall, and landslides & mudflows as recorded by OCHA field offices based on assessments in the field. 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) The information includes assessment figures from OCHA, ANDMA, IOM, 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.
    1900+ Downloads
    This dataset updates: Every month
  • Updated Live | Dataset date: January 01, 2008-January 28, 2022
    List of airports in Afghanistan, with latitude and longitude. Unverified community data from http://ourairports.com/countries/AF/
    100+ Downloads
    This dataset updates: Live
  • Updated 27 November 2019 | Dataset date: August 02, 2019-September 22, 2019
    The Hard to Reach (HTR) Assessment was implemented by REACH Initiative in Afghanistan, in coordination with the Inter Cluster Coordination Team (ICCT) in country. The assessment aimed to address the humanitarian information gap on multi-sector needs and vulnerabilities of the population residing in hard-to-reach districts, as identified by the Humanitarian Access Group (HAG). The assessment employed a qualitative methodology of Key Informant Interviews (KIIs) across 100 selected HTR districts, covering 23 provinces. A total 3,114 KIIs were conducted between 2 August and 22 September 2019. As a qualitative methodology based on purposive sampling, findings should be considered indicative only.
    100+ Downloads
    This dataset updates: Every three months
  • Updated 10 November 2019 | Dataset date: January 31, 2013-January 31, 2013
    This spatial dataset of major rivers provides the delimitation of major water courses in Afghanistan. It comprises 24 water course features, which are attributed with a hydrological description and watercourse name (English). This dataset was last modified by the OCHA IMU in January 2013. The scales at which the original datasets were created are unknown, but it is likely that they were digitized at a scale of around 1:500,000. The purpose of this dataset is to show major rivers at a provincial scale or higher. The multiple sources of the data are as follows: South East Asia Rivers, USAID map of ongoing humanitarian assistance to Afghanistan; Foreign and Commonwealth Office Library map series 230 (2005); and an alternative country river line dataset (custodian unknown).
    500+ Downloads
    This dataset updates: Every year
  • Updated 10 November 2019 | Dataset date: January 01, 2016-October 29, 2016
    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.
    900+ Downloads
    This dataset updates: Every year
  • Updated 10 November 2019 | Dataset date: March 18, 2018-May 03, 2018
    The overall objective of the assessment was to inform humanitarian intervention planning through the identification of key protection-based needs and vulnerabilities of conflict-affected populations, specifically focusing on the impact conflict has on these needs and vulnerabilities.
    200+ Downloads
    This dataset updates: Every year
  • Updated 10 November 2019 | Dataset date: October 01, 2016-December 31, 2016
    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: Every three months
  • Updated 10 November 2019 | Dataset date: July 01, 2016-September 30, 2016
    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.
    1200+ Downloads
    This dataset updates: Every three months
  • Updated 10 November 2019 | Dataset date: July 01, 2015-September 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. An interactive map of the 3W data can be accessed here.
    1100+ Downloads
    This dataset updates: Every three months
  • Updated 10 November 2019 | Dataset date: January 01, 2017-December 31, 2017
    1) Natural disaster events include avalanches, earthquakes, flooding, heavy rainfall & snowfall, and landslides & mudflows as recorded by OCHA field offices based on assessments in the field. 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) The information includes assessment figures from OCHA, ANDMA, IOM, 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.
    1900+ Downloads
    This dataset updates: Every year
  • Updated 10 November 2019 | Dataset date: January 01, 2014-December 31, 2014
    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.
    300+ Downloads
    This dataset updates: Every year
  • Updated 10 November 2019 | Dataset date: August 31, 2016-August 31, 2016
    On the 26th of October 2015, a large scale earthquake caused shelter damage throughout much of northern and central Afghanistan. During August 2016, the REACH Initiative (supported by ACTED, AfghanAid and People in Need) conducted a shelter response evaluation in 3 districts of Afghanistan on behalf of the Shelter Cluster. The aim of the assessment was to evaluate shelter interventions and locate possible intervention gaps in order to inform the shelter cluster of Afghanistan of the current shelter context and needs of earthquake affected families. The assessment consisted of three specific areas of investigation: 1. To monitor change in sheltering conditions for families 2. To evaluate the value of various shelter interventions in allowing families to recover and to identify possible gaps 3. To determine recovery limitations and successes relating to vulnerable groups
    500+ Downloads
    This dataset updates: Never
  • Updated 10 November 2019 | Dataset date: July 01, 2017-September 30, 2017
    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.
    1500+ Downloads
    This dataset updates: Every three months