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.
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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
  • Updated 18 October 2021 | Dataset date: January 01, 2021-September 30, 2021
    These datasets contains incidents in which aid access, education and healthcare services were impacted by explosive weapons. Insecurity Insight collaborates with the International Network on Explosive Weapons (INEW) in producing research and analysis on the harm and use of explosive weapons for the Explosive Weapons Monitor by documenting their effects on health care, education, and aid access. Every month the Explosive Weapons Monitor publishes a bulletin with incidents from around the world as reported in open sources.
    80+ Downloads
    This dataset updates: As needed
  • Updated 17 October 2021 | Dataset date: January 01, 2021-July 28, 2021
    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.
    400+ Downloads
    This dataset updates: As needed
  • Updated 13 October 2021 | Dataset date: September 30, 2021-September 30, 2021
    This dataset shows the number of people in need(PiN), funds required and funds received by country and over the years, from 2010 to 2021.
    500+ Downloads
    This dataset updates: Every year
  • Updated 11 October 2021 | Dataset date: October 11, 2021-October 11, 2021
    This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long
    1000+ Downloads
    This dataset updates: Every month
  • Updated 16 September 2021 | Dataset date: January 01, 2019-September 07, 2021
    This page provides the data published in the Attacks on Health Care Monthly News Brief. For data supporting the Safeguarding Health in Conflict Coalition (SHCC), please see: https://data.humdata.org/dataset/shcchealthcare-dataset These datasets covers events where health workers were killed, kidnapped or arrested (KKA) and incidents where health facilities were damaged or destroyed by a perpetrator including state and non-state actors, criminals, individuals, students and other staff members in 2019 and in 2020 to date. All data contains incidents identified in open sources. Categorized by country and with links to relevant Monthly News Brief.
    4400+ 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
    300+ Downloads
    This dataset updates: Every month
  • Updated 13 September 2021 | Dataset date: January 01, 2019-September 07, 2021
    These datasets contain information on violent and threatening incidents affecting aid operations, education, health care, refugees and IDPs to ensure staff safety and better response outcomes.
    300+ Downloads
    This dataset updates: As needed
  • Updated 6 September 2021 | Dataset date: January 01, 2017-July 31, 2021
    This page provides the data published in the Education in Danger Monthly News Brief. All data contains incidents identified in open sources. Categorized by country and with link to the relevant Monthly News Brief (where possible).
    5500+ Downloads
    This dataset updates: As needed
  • 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.
    11000+ 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.
    200+ Downloads
    This dataset updates: Every three months
  • Updated 4 August 2021 | Dataset date: August 01, 2020-December 06, 2021
    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)
    2100+ Downloads
    This dataset updates: Every three months
  • View the column descriptions here: https://hqfao.maps.arcgis.com/sharing/rest/content/items/9d44fdf00fde4213950e8da771163ea7/data The Office of Emergency and Resilience (OER) of the Food and Agriculture Organization (FAO) is piloting a monitoring system to better understand the impacts of COVID-19 and other shocks on food supply, agricultural livelihoods and food security in a number of food crisis countries. This project is supported by the United States Agency for International Development (USAID). The monitoring system consists of primary data collected from households and key informants (including agricultural inputs vendors, food traders and agriculture extension officers) on a periodic basis (more or less every 3 months). Data are mainly collected through Computer-Assisted Telephone Interviews (CATI). In-person surveys are conducted where the circumstances allow for field access. During each round of the system, more than 40,000 interviews have been completed in more than 20 countries. In order to associate each round of data collection with the dates it was performed, refer to the calendar available here: https://covid-19-data-hqfao.hub.arcgis.com/pages/rounds_calendar Data are used to guide strategic decisions, to design programmes and to inform analytical processes such as the IPC. The present layer contains data aggregated on Admin1 level, from Afghanistan, Colombia, DRC, Liberia, Mali, Niger, Sierra Leone, Somalia, Yemen and Zimbabwe. Indicator: Percentage of households reporting shocks directly or indirectly related to COVID-19
    10+ Downloads
    This dataset updates: Every three months
  • View the column descriptions here: https://hqfao.maps.arcgis.com/sharing/rest/content/items/f767b5c05c694ae4b891d87016c611b4/data The Office of Emergency and Resilience (OER) of the Food and Agriculture Organization (FAO) is piloting a monitoring system to better understand the impacts of COVID-19 and other shocks on food supply, agricultural livelihoods and food security in a number of food crisis countries. This project is supported by the United States Agency for International Development (USAID). The monitoring system consists of primary data collected from households and key informants (including agricultural inputs vendors, food traders and agriculture extension officers) on a periodic basis (more or less every 3 months). Data are mainly collected through Computer-Assisted Telephone Interviews (CATI). In-person surveys are conducted where the circumstances allow for field access. During each round of the system, more than 40,000 interviews have been completed in more than 20 countries. In order to associate each round of data collection with the dates it was performed, refer to the calendar available here: https://covid-19-data-hqfao.hub.arcgis.com/pages/rounds_calendar Data are used to guide strategic decisions, to design programmes and to inform analytical processes such as the IPC. The present layer contains data aggregated on Admin1 level, from Afghanistan, Colombia, DRC, Liberia, Mali, Niger, Sierra Leone, Somalia, Yemen and Zimbabwe. Indicator: Percentage of households reporting sales change
    10+ Downloads
    This dataset updates: Every three months
  • View the column descriptions here: https://hqfao.maps.arcgis.com/sharing/rest/content/items/db6576af73174f6db30b6d6b4702537d/data The Office of Emergency and Resilience (OER) of the Food and Agriculture Organization (FAO) is piloting a monitoring system to better understand the impacts of COVID-19 and other shocks on food supply, agricultural livelihoods and food security in a number of food crisis countries. This project is supported by the United States Agency for International Development (USAID). The monitoring system consists of primary data collected from households and key informants (including agricultural inputs vendors, food traders and agriculture extension officers) on a periodic basis (more or less every 3 months). Data are mainly collected through Computer-Assisted Telephone Interviews (CATI). In-person surveys are conducted where the circumstances allow for field access. During each round of the system, more than 40,000 interviews have been completed in more than 20 countries. In order to associate each round of data collection with the dates it was performed, refer to the calendar available here: https://covid-19-data-hqfao.hub.arcgis.com/pages/rounds_calendar Data are used to guide strategic decisions, to design programmes and to inform analytical processes such as the IPC. The present layer contains data aggregated on Admin1 level, from Afghanistan, Colombia, DRC, Liberia, Mali, Niger, Sierra Leone, Somalia, Yemen and Zimbabwe. Indicator: Percentage of households reporting herd size change
    This dataset updates: Every three months
  • View the column descriptions here: https://hqfao.maps.arcgis.com/sharing/rest/content/items/5d16cc7cc65d4245b58cb0cf07f1d129/data The Office of Emergency and Resilience (OER) of the Food and Agriculture Organization (FAO) is piloting a monitoring system to better understand the impacts of COVID-19 and other shocks on food supply, agricultural livelihoods and food security in a number of food crisis countries. This project is supported by the United States Agency for International Development (USAID). The monitoring system consists of primary data collected from households and key informants (including agricultural inputs vendors, food traders and agriculture extension officers) on a periodic basis (more or less every 3 months). Data are mainly collected through Computer-Assisted Telephone Interviews (CATI). In-person surveys are conducted where the circumstances allow for field access. During each round of the system, more than 40,000 interviews have been completed in more than 20 countries. In order to associate each round of data collection with the dates it was performed, refer to the calendar available here: https://covid-19-data-hqfao.hub.arcgis.com/pages/rounds_calendar Data are used to guide strategic decisions, to design programmes and to inform analytical processes such as the IPC. The present layer contains data aggregated on Admin1 level, from Afghanistan, Colombia, DRC, Liberia, Mali, Niger, Sierra Leone, Somalia, Yemen and Zimbabwe. Indicator: Percentage of households reporting drop in crop production
    10+ Downloads
    This dataset updates: Every three months
  • View the column descriptions here: https://hqfao.maps.arcgis.com/sharing/rest/content/items/d4969616de2348e388164b0a7909d352/data The Office of Emergency and Resilience (OER) of the Food and Agriculture Organization (FAO) is piloting a monitoring system to better understand the impacts of COVID-19 and other shocks on food supply, agricultural livelihoods and food security in a number of food crisis countries. This project is supported by the United States Agency for International Development (USAID). The monitoring system consists of primary data collected from households and key informants (including agricultural inputs vendors, food traders and agriculture extension officers) on a periodic basis (more or less every 3 months). Data are mainly collected through Computer-Assisted Telephone Interviews (CATI). In-person surveys are conducted where the circumstances allow for field access. During each round of the system, more than 40,000 interviews have been completed in more than 20 countries. In order to associate each round of data collection with the dates it was performed, refer to the calendar available here: https://covid-19-data-hqfao.hub.arcgis.com/pages/rounds_calendar Data are used to guide strategic decisions, to design programmes and to inform analytical processes such as the IPC. The present layer contains data aggregated on Admin1 level, from Afghanistan, Colombia, DRC, Liberia, Mali, Niger, Sierra Leone, Somalia, Yemen and Zimbabwe. Indicator: Percentage of households reporting income change
    This dataset updates: Every three months
  • Updated 22 July 2021 | Dataset date: January 01, 2020-December 06, 2021
    The data shows key figures on Education in Emergencies (EiE) at country level and as reported by country clusters
    300+ 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.
    700+ 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
  • View the column descriptions here: https://hqfao.maps.arcgis.com/sharing/rest/content/items/9d44fdf00fde4213950e8da771163ea7/data The Office of Emergency and Resilience (OER) of the Food and Agriculture Organization (FAO) is piloting a monitoring system to better understand the impacts of COVID-19 and other shocks on food supply, agricultural livelihoods and food security in a number of food crisis countries. This project is supported by the United States Agency for International Development (USAID). The monitoring system consists of primary data collected from households and key informants (including agricultural inputs vendors, food traders and agriculture extension officers) on a periodic basis (more or less every 3 months). Data are mainly collected through Computer-Assisted Telephone Interviews (CATI). In-person surveys are conducted where the circumstances allow for field access. During each round of the system, more than 40,000 interviews have been completed in more than 20 countries. In order to associate each round of data collection with the dates it was performed, refer to the calendar available here: https://covid-19-data-hqfao.hub.arcgis.com/pages/rounds_calendar Data are used to guide strategic decisions, to design programmes and to inform analytical processes such as the IPC. The present layer contains data aggregated on Admin1 level, from Afghanistan, Colombia, DRC, Liberia, Mali, Niger, Sierra Leone, Somalia, Yemen and Zimbabwe. Indicator: Percentage of households reporting needs of assistance
    10+ Downloads
    This dataset updates: Every three months
  • Updated 14 June 2021 | Dataset date: January 01, 2017-December 31, 2021
    This dataset was compiled by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. It provides the Humanitarian Country Team’s shared understanding of the crisis, including the most pressing humanitarian need and the estimated number of people who need assistance, and represents a consolidated evidence base and helps inform joint strategic response planning.
    1600+ Downloads
    This dataset updates: Every year
  • 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.
    200+ Downloads
    This dataset updates: As needed
  • Updated 30 May 2021 | Dataset date: January 01, 2008-December 31, 2020
    Internally displaced persons are defined according to the 1998 Guiding Principles (http://www.internal-displacement.org/publications/1998/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. "People Displaced" refers to the number of people living in displacement as of the end of each year. "New Displacement" refers to the number of new cases or incidents of displacement recorded, rather than the number of people displaced. This is done because people may have been displaced more than once. Contains data from IDMC's Global Internal Displacement Database.
    1400+ Downloads
    This dataset updates: Every year