Afghanistan - Humanitarian Data Exchange

FAO Data-in-Emergencies Monitoring System - Percentage of households reportin...

10+ Downloads

Updated 27 July 2021 | Dataset date: June 20, 2020-October 17, 2021

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

JSON

FAO Data-in-Emergencies Monitoring System - Percentage of households reportin...

Food and Agriculture Organization (FAO)

Updated 27 July 2021 | Dataset date: June 20, 2020-October 17, 2021

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

JSON

FAO Data-in-Emergencies Monitoring System - Percentage of households reportin...

Food and Agriculture Organization (FAO)

10+ Downloads

Updated 27 July 2021 | Dataset date: June 20, 2020-October 17, 2021

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

JSON

FAO Data-in-Emergencies Monitoring System - Percentage of households reportin...

Food and Agriculture Organization (FAO)

Updated 27 July 2021 | Dataset date: June 20, 2020-October 17, 2021

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

JSON

FAO Data-in-Emergencies Monitoring System - Percentage of households reportin...

Food and Agriculture Organization (FAO)

Updated 27 July 2021 | Dataset date: June 20, 2020-October 17, 2021

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

JSON

Education in Emergencies (EiE): Key Figures (2018-2020)

Global Education Cluster

300+ Downloads

Updated 22 July 2021 | Dataset date: January 01, 2020-October 17, 2021

This dataset updates: Every year

The data shows key figures on Education in Emergencies (EiE) at country level and as reported by country clusters

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Afghanistan - Food Security Indicators

Food and Agriculture Organization (FAO)

700+ Downloads

Updated 18 July 2021 | Dataset date: January 01, 2000-December 31, 2020

This dataset updates: Every year

Food Security Indicators for Afghanistan. Contains data from the FAOSTAT bulk data service.

CSV

Afghanistan - Socio-economic assessment of IDPs and returnees in the five mos...

UNHCR - The UN Refugee Agency

20+ Downloads

Updated 11 July 2021 | Dataset date: January 01, 2017-December 31, 2017

This dataset updates: Never

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.

Web App
PDF

Afghanistan: Projected COVID-19 Sub-national Cases

Johns Hopkins Applied Physics Lab

100+ Downloads

Updated 4 July 2021 | Dataset date: July 29, 2020-November 30, 2020

This dataset updates: As needed

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.

CSV

FAO Data-in-Emergencies Monitoring System - Percentage of households reportin...

Food and Agriculture Organization (FAO)

10+ Downloads

Updated 23 June 2021 | Dataset date: June 20, 2020-October 17, 2021

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 needs of assistance

JSON

Afghanistan - Data on forcibly displaced populations and stateless persons

UNHCR - The UN Refugee Agency

700+ Downloads

Updated 22 June 2021 | Dataset date: January 01, 2011-December 31, 2020

This dataset updates: Every six months

Data collated by UNHCR, containing information about forcibly displaced populations and stateless persons, spanning across 70 years of statistical activities. The data includes the countries / territories of asylum and origin. Specific resources are available for end-year population totals, demographics, asylum applications, decisions, and solutions availed by refugees and IDPs (resettlement, naturalisation or returns).

CSV

Afghanistan: Humanitarian Needs Overview

OCHA Afghanistan

1500+ Downloads

Updated 14 June 2021 | Dataset date: January 01, 2017-December 31, 2021

This dataset updates: Every year

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.

XLSX

Afghanistan - Who does What Where (January to March 2021)

OCHA Afghanistan

200+ Downloads

Updated 14 June 2021 | Dataset date: January 01, 2021-March 31, 2021

This dataset updates: As needed

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.

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XLSX

Afghanistan - Internally displaced persons - IDPs

Internal Displacement Monitoring Centre (IDMC)

1300+ Downloads

Updated 30 May 2021 | Dataset date: January 01, 2008-December 31, 2020

This dataset updates: Every year

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.

CSV

Afghanistan Displacement Data - Baseline Assessment [IOM DTM]

International Organization for Migration

6300+ Downloads

Updated 25 May 2021 | Dataset date: July 01, 2020-December 31, 2020

This dataset updates: Every year

The Dataset contains IDPs, returnees at sub national level.

XLSX

Afghanistan - Subnational Administrative Boundaries [By Request Only]

OCHA Afghanistan

Updated 19 May 2021 | Dataset date: October 22, 2019-October 22, 2019

This data is by request only

Afghanistan administrative level 0 (country), 1 (province), and 2 (district), and UNAMA region boundary polygon, line, and point shapefiles, geodatabase and gazetteer. REFERENCE YEAR: 2019

Request access

Afghanistan - Natural Disaster Incidents in 2020

OCHA Afghanistan

1900+ Downloads

Updated 9 May 2021 | Dataset date: January 01, 2020-December 27, 2020

This dataset updates: As needed

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.

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Pool fund Extended allocation Details

HDX

60+ Downloads

Updated 8 May 2021 | Dataset date: May 19, 2020-May 19, 2020

This dataset updates: As needed

Pool fund Extended allocation Details

CSV

Impact of the use of explosive weapons on health facilities

EWIPA Community

300+ Downloads

Updated 6 May 2021 | Dataset date: January 01, 2016-December 31, 2020

This dataset updates: As needed

This dataset contains events where air- and ground-launched explosive weapons affected health facilities between 2016 and 2020.

XLSX

Afghanistan - Human Development Indicators

UNDP Human Development Reports Office (HDRO)

300+ Downloads

Updated 4 May 2021 | Dataset date: January 01, 1990-December 31, 2030

This dataset updates: Every year

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'.

CSV

Flood analysis for Afghanistan (05 May 2014)

UN Operational Satellite Applications Programme (UNOSAT)

Updated 4 May 2021 | Dataset date: May 05, 2014-May 05, 2014

This dataset updates: Never

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...

Attacks on Health Care in Countries in Conflict

Insecurity Insight

7200+ Downloads

Updated 30 April 2021 | Dataset date: January 01, 2016-December 31, 2020

This dataset updates: As needed

The Safeguarding Health in Conflict Coalition (SHCC) is made up of 40 health provider organizations, humanitarian groups, human rights organizations, NGOs, and academic programs to take action to protect health workers and end attacks against them. This page is managed by SHCC member Insecurity Insight.

XLSX

Afghanistan - Who does What Where (April to June 2016)

OCHA Afghanistan

900+ Downloads

Updated 20 April 2021 | Dataset date: April 01, 2016-June 30, 2016

This dataset updates: Never

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.

XLSX
CSV

Afghanistan - Who does What Where (April to June 2017)

OCHA Afghanistan

700+ Downloads

Updated 20 April 2021 | Dataset date: April 01, 2017-June 30, 2017

This dataset updates: Never

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.

XLSX
CSV

Afghanistan - Who does What Where (January to March 2017)

OCHA Afghanistan

800+ Downloads

Updated 20 April 2021 | Dataset date: January 01, 2017-March 31, 2017

This dataset updates: Never

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.

XLSX
CSV