Key Figures
Filter by:
185 results matching current filter selection Apply or Reset ?
  • OCHA FTS
    Updated September 19, 2017 | Dataset date: Sep 19, 2017
    FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's Financial Tracking Service, is encoded as utf-8 and the second row of the CSV contains HXL tags.
    • CSV
    • 60+ Downloads
    • This dataset updates: Every day
  • International NGO Safety Organisation (INSO)
    Updated September 18, 2017 | Dataset date: Jan 1, 2016-Aug 31, 2017
    This dashboard provides aggregated global data on the safety & security incidents affecting NGOs in those countries covered by INSO*. It is intended to improve the visibility of macro-trends in humanitarian safety in order to raise awareness, inform research and strengthen operational practise. All data is sourced from INSO and assumed correct at the time of publishing. Please read below for advanced definitions & meanings. The information contained in this dashboard may be cited or reproduced only with credit to INSO.
    • XLSX
    • 100+ Downloads
    • This dataset updates: Every month
  • OCHA Afghanistan
    Updated September 17, 2017 | Dataset date: Jan 24, 2017
    Topline figures dataset for OCHA Afghanistan organisation page
    • CSV
    • 40+ Downloads
    • This dataset updates: Every month
  • OCHA Afghanistan
    Updated September 17, 2017 | Dataset date: Jan 1, 2017-Sep 10, 2017
    Newly displaced population due to conflict between 01 January 2017 and 10 Sep 2017, compiled by OCHA sub offices based on inter-agency assessment results. This data is a snapshot as of 17 September 2017 and the numbers are expected to change as new assessment figures become available.
    • XLSX
    • CSV
    • 200+ Downloads
    • This dataset updates: Every week
  • UNHCR Afghanistan
    Updated September 10, 2017 | Dataset date: Sep 10, 2017
    This data includes number of Afghan refugees returning to Afghanistan, desegregated by week of return, country of asylum, comparison with 2016, districts of origin and destination.
    • XLS
    • This dataset updates: Every week
  • WorldPop
    Updated September 6, 2017 | Dataset date: Jan 1, 2015
    These datasets provide estimates of population counts for each 100 x 100m grid cell in the country for various years. Please refer to the metadata file and WorldPop website (www.worldpop.org) for full information.
  • Internal Displacement Monitoring Centre (IDMC)
    Updated September 6, 2017 | Dataset date: Jan 1, 2008-Dec 31, 2016
    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. "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. "People Displaced" refers to the number of people living in displacement as of the end of each year. Contains data from IDMC's data portal.
    • JSON
    • This dataset updates: Every day
  • HDX
    Updated September 5, 2017 | Dataset date: Jan 1, 1950-Dec 31, 2050
    Contains data from World Health Organization's data portal covering various indicators (one per resource).
    • CSV
    • This dataset updates: Every year
  • HDX
    Updated September 5, 2017 | Dataset date: Jan 1, 2011-Dec 31, 2016
    Data used to update country toplines in HDX. Contains data from World Bank's data portal.
    • CSV
    • This dataset updates: Every year
  • HDX
    Updated September 5, 2017 | Dataset date: Jan 1, 1960-Dec 31, 2016
    Contains data from World Bank's data portal covering various economic and social indicators (one per resource).
    • JSON
    • 10+ Downloads
    • This dataset updates: Every year
  • WFP - World Food Programme
    Updated July 26, 2017 | Dataset date: Jul 24, 2017
    The Global Food Prices Database has data on food prices (e.g., beans, rice, fish, and sugar) for 76 countries and some 1,500 markets. The dataset includes around 500,000 records and is updated monthly. The data goes back as far as 1992 for a few countries, although most of the price trends start in 2000-2002.
    • CSV
    • 800+ Downloads
    • This dataset updates: Every month
  • OCHA Afghanistan
    Updated July 17, 2017 | Dataset date: Jan 1, 2016-Oct 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.
    • XLSX
    • CSV
    • 20+ Downloads
    • This dataset updates: Every year
  • OCHA Afghanistan
    Updated July 16, 2017 | Dataset date: Jan 1, 2017-May 23, 2017
    1) Natural disaster events include avalanches,earthquake, 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.
    • XLSX
    • CSV
    • 60+ Downloads
    • This dataset updates: Every week
  • Between April and June 2014, significant flooding arose in the northern regions of the country – namely in eight northern provinces. The poor structural integrity of houses, thick muds and a general lack of flood awareness led to large scale damage amongst affected communities. More than 112,000 individuals residing in nearly 17,000 households were impacted. As a result, the humanitarian community mobilized to assist 6,480 fully damaged households and 5,264 partially damaged households. This evaluation intends to provide information on the amount of self-recovery, consisting of the level and type of coping strategies used by both assisted and non-assisted households since the flooding in 2014. Therefore, the evaluation provides Shelter Cluster partners with the information they need to plan for effective and targeted intervention and advocate for further response on behalf of vulnerable households. Data was collected between 7th March and 3rd April 2017 and a probability sampling strategy was used.
    • XLSX
    • This dataset updates: Never
  • The number of families enduring long periods of displacement in Afghanistan is increasing. Although it has often been presumed that those displaced for long periods eventually adapt to their surroundings and integrate into their host community, this assessment report shows that this is not the case. Isolated from their social networks, internally displaced persons (IDPs) displaced over a long period of time struggle to secure regular employment, adequate shelter and are often food insecure. This prolonged IDP (PIDP) assessment report is designed to identify the needs and vulnerabilities of those displaced for prolonged periods of time, beyond the initial emergency displacement period.
    • XLSX
    • 10+ Downloads
    • This dataset updates: Never
  • REACH Initiative
    Updated June 29, 2017 | Dataset date: Aug 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
    • XLSX
    • 90+ Downloads
    • This dataset updates: Never
  • OCHA Afghanistan
    Updated June 26, 2017 | Dataset date: Oct 1, 2016-Dec 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.
    • XLSX
    • CSV
    • 200+ Downloads
    • This dataset updates: Every three months
  • OCHA Afghanistan
    Updated June 13, 2017 | Dataset date: Jan 1, 2000-Dec 31, 2014
    This dataset contains information on the locations and sectors of activity of 891 international and local (Afghan) that operated in Afghanistan between 2000 and 2014. Columns for the name of the the NGO, year founded, nationality, sectors of activity and location of activity and period of activity are provided for each NGO listed. Provincial, annual and sector breakdowns are also provided. Source: Mitchell, David F. 2017. "NGO Presence and Activity in Afghanistan, 2000–2014: A Provincial-Level Dataset." Stability: International Journal of Security and Development 6(1). DOI: http://doi.org/10.5334/sta.497
    • XLSX
    • 40+ Downloads
    • This dataset updates: Never
  • OCHA Afghanistan
    Updated June 4, 2017 | Dataset date: Jan 1, 2016-Dec 30, 2016
    Newly displaced population due to conflict between 01 Jan 2016 and 31 Dec 2016, compiled by OCHA sub offices based on inter-agency assessment results. This data is a snapshot as of 04 June 2017 and the numbers are expected to change as new assessment figures become available.
    • XLSX
    • CSV
    • 900+ Downloads
    • This dataset updates: Every week
  • OCHA Afghanistan
    Updated May 28, 2017 | Dataset date: Jan 1, 2017-Dec 31, 2017
    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. This dataset covers existing needs as of October 2016 as well as projected needs for 2017. It includes a breakdown of people in need (PIN) by cluster and population types (with SADD) and documentation of analysis method used for the estimation of needs.
    • XLSX
    • 40+ Downloads
    • This dataset updates: Every year
  • This report considers present and recent past food security assessments for Afghanistan in the context of hydrology, climate change and conflict. Population comparisons by data source (UN OCHA, LandScan, WorldPop, and Gridded Population of the World) and rainfall anomalies from 2013-2016 accompany the report. The authors, Zainab al Badri, Atia Curtiss, and Zoe Garcia, completed their research in partial fulfillment of Public Health coursework in Medical Geography, for Spring 2017, at Drew University. Dr. Lisa Jordan edited the report and supplemented their work with additional spatial data.
  • OCHA Afghanistan
    Updated April 12, 2017 | Dataset date: Jan 1, 2017-Mar 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.
    • XLSX
    • CSV
    • 100+ Downloads
    • This dataset updates: Every three months
  • OCHA Afghanistan
    Updated April 4, 2017 | Dataset date: Mar 21, 2015-Mar 19, 2016
    The population data was sourced from the Central Statistics Organization (CSO) and should be used in accordance with the "Estimated Population of Afghanistan 2015/16" report prepared by the Islamic Republic of Afghanistan CSO. Age and gender disaggregated estimates are calculated based on proportion of population in each cohort in the 2011/2012 National Risk and Vulnerability Assessment (NRVA) report. This is an archived version of population projections. The current version can be found on https://data.humdata.org/dataset/afg-est-pop.
    • XLSX
    • 100+ Downloads
    • This dataset updates: Never
  • OCHA Afghanistan
    Updated April 4, 2017 | Dataset date: Mar 21, 2016-Mar 20, 2017
    This tabular dataset provides the Afghanistan population estimation for the Persian calendar year 1395 (corresponding to the Gregorian period 21 March 2016 to 20 March 2017) disaggregated by districts and provincial centres (admin level 3), age, gender, and urban-rural settled populations. The total population of the country in 1395 is estimated to be around 29.1 million, which is inclusive of the 1.5 million nomadic population. This dataset format was created on 15 August 2016 by the Information Management Unit (IMU) of the Office for the Coordination of Humanitarian Affairs (OCHA) Afghanistan. Since the Afghanistan Geodesy and Cartography Head Office (AGCHO) is recognized as the sole authoritative source a for administrative boundaries, the population estimates have also been matched to the administrative names and codes of the AGCHO dataset. The dataset include popluation estimates disaggregated by CSO province and district codes (including Kabul city districts), population estimates disaggreated by AGCHO district codes, and a lookup table that relates CSO, AGCHO and AIMS legacy codes. Note that the 1.5 million nomadic population is NOT included in the province and district population estimates. Estimated population disaggregated by age group and gender is calculated using proportion of the total estimated population falling under each cohort based on 2011/2012 National Risk and Vulnerability Assessment (NRVA) report. This data is only available at the province level. This is the current version of the population estimates. The 2015/2016 projections can be found on https://data.humdata.org/dataset/estimated-population-of-afghanistan-2015-2016
    • XLSX
    • 200+ Downloads
    • This dataset updates: Every year
  • REACH Initiative
    Updated April 2, 2017 | Dataset date: Nov 27, 2016-Feb 28, 2017
    Between November 2016 and February 2017, mapping and profiling of informal settlements in Afghanistan was conducted. Initial secondary data review was carried out in Baghlan, Balkh, Herat, Kabul, Kandahar and Nangarhar, providing the locations of pre-recognised informal settlements within the provinces. These sites were then verified and built upon by field teams, carrying out key informant interviews to provide comprehensive information on demographics in each site. Field teams also conducted direct mapping data collection. As data collection progressed, further sites were added to broaden geographic coverage. The intention is to include every informal settlements within targeted provinces, until all sites in Afghanistan are mapped and profiled. The dataset is anticipated to be updated on a monthly basis.
    • excel
    • 70+ Downloads
    • This dataset updates: Every month