Afghanistan

Data Grid Completeness Expand
Affected People
3 Datasets
100% 
Coordination & Context
6 Datasets
80%  20% 
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 Live | Dataset date: January 01, 2019-August 09, 2022
    Live list of active aid activities for Afghanistan shared via the International Aid Transparency Initiative (IATI). Includes both humanitarian and development activities. More information on each activity (including financial data) is available from http://www.d-portal.org
    50+ Downloads
    This dataset updates: Live
  • Updated 23 November 2021 | Dataset date: July 01, 2021-September 30, 2021
    COVAX Round 6 Allocations for July to September 2021
    100+ Downloads
    This dataset updates: As needed
  • Updated 8 November 2021 | Dataset date: July 01, 2021-September 30, 2021
    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.
    600+ Downloads
    This dataset updates: Every three months
  • Updated 5 November 2021 | Dataset date: September 30, 2020-September 30, 2021
    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.
    300+ Downloads
    This dataset updates: Every three months
  • Updated 4 November 2021 | Dataset date: September 20, 2021-September 20, 2021
    Number of Health Facilities and their status of functionality by Province.
    100+ Downloads
    This dataset updates: Every year
  • Updated 27 October 2021 | Dataset date: January 01, 2016-September 30, 2021
    This dataset includes the latest available information on COVID-19 developments impacting the security of aid and health work and operations to help aid agencies meet duty of care obligations to staff and reach people in need.
    2800+ Downloads
    This dataset updates: As needed
  • Updated 15 September 2021 | Dataset date: November 14, 2020-May 17, 2021
    Overview The dataset contains harmonized indicators created from high-frequency phone surveys collected by the World Bank and partners. The surveys capture the socioeconomic impacts of the COVID-19 pandemic on households and individuals from all developing regions. Data are available for over 90 indicators in 14 topic areas, including education, food security, income, safety nets, and others. For more information, please refer to our Technical Note and Data Dictionary. Unit of Measure Percentages. Aggregation Method: The data is aggregated by Urban/Rural/National and Industry Sector Disclaimer: This harmonized dataset is an ongoing collation and harmonization of COVID-19 high-frequency phone survey (HFPS) data. Harmonization involves redefining indicators and categories so that they are comparable across countries. As a result, even if the names and definitions of indicators appear similar, numbers in this global database might differ slightly from those of each country's publications or dashboard. If you see large discrepancies or other issues, please reach out. Version Notes: COVID-19 Harmonized Household Data Feb 18 • Temporarily suppressed select income, labor, and government assistance indicators collected after wave 2 surveys for harmonization review • Added need for, and access to medical care in multiple countries • Temporarily suppressed select income, labor and government assistance indicators collected after wave 2 surveys for harmonization review Funding Name, Abbreviation, Role: The project received support from the Trust Fund for Statistical Capacity Building III (TFSCB-III). TFSCB-III is funded by the United Kingdom’s Foreign, Commonwealth & Development Office, the Department of Foreign Affairs and Trade of Ireland, and the Governments of Canada and Korea. Other Acknowledgments: This dashboard was created by the Data for Goals (D4G) team and the Regional High-Frequency Phone Survey (HFPS) Focal Points in the EFI Poverty and Equity Global Practice (POV GP), under the guidance of POV GP management, using data collected under the World Bank-wide COVID-19 HFPS initiative. Time Periods: March, 2021
    400+ Downloads
    This dataset updates: Every month
  • Updated 22 August 2021 | Dataset date: January 01, 1990-August 15, 2021
    This no longer updated dataset contains Global Food Prices data from the World Food Programme covering foods such as maize, rice, beans, fish, and sugar for 76 countries and some 1,500 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.
    13000+ Downloads
    This dataset updates: Never
  • Updated 4 August 2021 | Dataset date: April 01, 2021-June 30, 2021
    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.
    300+ Downloads
    This dataset updates: Every three months
  • Updated 4 August 2021 | Dataset date: August 01, 2020-August 09, 2022
    The COVID-19 preventative health survey is designed to help policymakers and health researchers better monitor and understand people’s knowledge, attitudes and practices about COVID-19 to improve communications and their response to the pandemic.
    300+ Downloads
    This dataset updates: As needed
  • Updated 3 August 2021 | Dataset date: January 01, 1970-December 31, 2019
    Education indicators for Afghanistan. Contains data from the UNESCO Institute for Statistics bulk data service covering the following categories: National Monitoring (made 2021 March), SDG 4 Global and Thematic (made 2021 March), Demographic and Socio-economic (made 2021 March)
    2500+ Downloads
    This dataset updates: Every three months
  • Updated 22 July 2021 | Dataset date: January 01, 2020-August 09, 2022
    The data shows key figures on Education in Emergencies (EiE) at country level and as reported by country clusters
    400+ Downloads
    This dataset updates: Every year
  • Updated 18 July 2021 | Dataset date: January 01, 2000-December 31, 2020
    Food Security Indicators for Afghanistan. Contains data from the FAOSTAT bulk data service.
    800+ Downloads
    This dataset updates: Every year
  • At the end of 2015, Herat Province was among the highest IDP hosting provinces in Afghanistan, accounting for approximately 10% of the country's IDP population. In order to obtain reliable information on the socio-economic conditions of IDPs and returnees in Herat Province, a comprehensive sample survey was carried out among 11,264 households in the 5 most populated IDP/returnee settlements (Shagofan, Jebraiel, Maslakh, Now Abad and Kahdistan) in 2017.
    20+ Downloads
    This dataset updates: Never
  • Updated 4 July 2021 | Dataset date: July 29, 2020-November 30, 2020
    The COVID-19 pandemic has brought into stark focus the need for data and the value of models to inform response strategies. Since March, the Centre has been working with the Johns Hopkins University Applied Physics Laboratory (APL) to develop a COVID-19 model adapted for use in humanitarian contexts. Access the - code repository , including all the source code scripts necessary to run the model. View the - technical documentation and - FAQs explaining how to configure and run the source code in the repository. Download the - methodology paper providing details on model assumptions and the main equations. Access - [biweekly reports] (https://drive.google.com/drive/u/1/folders/16FR8owccpfIm-tspdAa4YTEwPoZKHtvI) for six countries. Download the - OCHA-Bucky model card created according to the Centre’s Peer Review Framework. The result is a model, named OCHA-Bucky, that forecasts the number of cases, hospitalizations, and deaths over two or four weeks, at the subnational and national levels.
    100+ Downloads
    This dataset updates: As needed
  • Updated 14 June 2021 | Dataset date: January 01, 2021-March 31, 2021
    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.
    400+ Downloads
    This dataset updates: As needed
  • Updated 9 May 2021 | Dataset date: January 01, 2020-December 27, 2020
    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.
    2200+ Downloads
    This dataset updates: As needed
  • Updated 8 May 2021 | Dataset date: May 19, 2020-May 19, 2020
    Pool fund Extended allocation Details
    60+ Downloads
    This dataset updates: As needed
  • Updated 6 May 2021 | Dataset date: January 01, 2016-December 31, 2020
    This dataset contains events where air- and ground-launched explosive weapons affected health facilities between 2016 and 2020.
    400+ Downloads
    This dataset updates: As needed
  • Updated 4 May 2021 | Dataset date: January 01, 1990-December 31, 2030
    The aim of the Human Development Report is to stimulate global, regional and national policy-relevant discussions on issues pertinent to human development. Accordingly, the data in the Report require the highest standards of data quality, consistency, international comparability and transparency. The Human Development Report Office (HDRO) fully subscribes to the Principles governing international statistical activities. The HDI was created to emphasize that people and their capabilities should be the ultimate criteria for assessing the development of a country, not economic growth alone. The HDI can also be used to question national policy choices, asking how two countries with the same level of GNI per capita can end up with different human development outcomes. These contrasts can stimulate debate about government policy priorities. The Human Development Index (HDI) is a summary measure of average achievement in key dimensions of human development: a long and healthy life, being knowledgeable and have a decent standard of living. The HDI is the geometric mean of normalized indices for each of the three dimensions. The 2019 Global Multidimensional Poverty Index (MPI) data shed light on the number of people experiencing poverty at regional, national and subnational levels, and reveal inequalities across countries and among the poor themselves.Jointly developed by the United Nations Development Programme (UNDP) and the Oxford Poverty and Human Development Initiative (OPHI) at the University of Oxford, the 2019 global MPI offers data for 101 countries, covering 76 percent of the global population. The MPI provides a comprehensive and in-depth picture of global poverty – in all its dimensions – and monitors progress towards Sustainable Development Goal (SDG) 1 – to end poverty in all its forms. It also provides policymakers with the data to respond to the call of Target 1.2, which is to ‘reduce at least by half the proportion of men, women, and children of all ages living in poverty in all its dimensions according to national definition'.
    500+ Downloads
    This dataset updates: Every year
  • Updated 4 May 2021 | Dataset date: May 05, 2014-May 05, 2014
    This is "Flood vectors - Komsat-2 (05 May 2014)" of the Flood analysis for Afghanistan which began on 30 April 2014. It includes 536 satellite detected water bodies with a spatial extent of 3.52 square kilometers derived from the Komsat-2 image acquired o...
    10+ Downloads
    This dataset updates: Never
  • Updated 20 April 2021 | Dataset date: April 01, 2016-June 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.
    1100+ Downloads
    This dataset updates: Never
  • Updated 20 April 2021 | Dataset date: April 01, 2017-June 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.
    800+ Downloads
    This dataset updates: Never
  • Updated 20 April 2021 | Dataset date: January 01, 2017-March 31, 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.
    1000+ Downloads
    This dataset updates: Never
  • Updated 20 April 2021 | Dataset date: January 01, 2016-March 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: Never