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  • UNHCR Afghanistan
    Updated September 18, 2018 | Dataset date: Jan 1, 2018-Sep 17, 2018
    Number of Refugees returning to Afghanistan for the Period of 01 January 2018 to 17 September 2018 by district of destination and origin
    • XLSX
    • CSV
    • 500+ Downloads
    • This dataset updates: Every day
  • OCHA FTS
    Updated September 18, 2018 | Dataset date: Sep 18, 2018
    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
    • 2100+ Downloads
    • This dataset updates: Every day
  • OCHA Afghanistan
    Updated September 17, 2018 | Dataset date: Aug 12, 2018
    Topline figures dataset for OCHA Afghanistan organisation page
    • CSV
    • 100+ Downloads
    • This dataset updates: Every month
  • OCHA Afghanistan
    Updated September 16, 2018 | Dataset date: Jan 1, 2018-Sep 2, 2018
    Newly displaced population due to conflict between 01 January 2018 and 25 August 2018, compiled by OCHA sub offices based on inter-agency assessment results. This data is a snapshot as of 16 September 2018 and the numbers are expected to change as new assessment figures become available.
    • XLSX
    • CSV
    • 1000+ Downloads
    • This dataset updates: Every week
  • Armed Conflict Location & Event Data Project (ACLED)
    Updated September 16, 2018 | Dataset date: Jan 1, 2017-Dec 31, 2018
    The ACLED project codes reported information on the type, agents, exact location, date, and other characteristics of political violence events, demonstrations and select politically relevant non-violent events. ACLED focuses on tracking a range of violent and non-violent actions by political agents, including governments, rebels, militias, communal groups, political parties, external actors, rioters, protesters and civilians. Data contain specific information on the date, location, group names, interaction type, event type, reported fatalities and contextual notes.
    • CSV
    • 40+ Downloads
    • This dataset updates: Live
  • INFORM
    Updated September 14, 2018 | Dataset date: Sep 6, 2018
    The INFORM initiative began in 2012 as a convergence of interests of UN agencies, donors, NGOs and research institutions to establish a common evidence-base for global humanitarian risk analysis. INFORM identifies the countries at a high risk of humanitarian crisis that are more likely to require international assistance. The INFORM model is based on risk concepts published in scientific literature and envisages three dimensions of risk: Hazards & Exposure, Vulnerability and Lack of Coping Capacity. The INFORM model is split into different levels to provide a quick overview of the underlying factors leading to humanitarian risk. The INFORM index supports a proactive crisis management framework. It will be helpful for an objective allocation of resources for disaster management as well as for coordinated actions focused on anticipating, mitigating, and preparing for humanitarian emergencies.
    • XLSX
    • This dataset updates: Every year
  • UNHCR Afghanistan
    Updated September 12, 2018 | Dataset date: Dec 28, 2017-Dec 28, 2017
    Afghanistan hosts a protracted population of Pakistani refugees, who fled North Waziristan Agency (NWA) in 2014 as a result of military operations which left the civilian population of Miranshah and surrounding villages forcibly displaced. As of 30 September 2017, UNHCR has biometrically registered more than 51,000 refugees in Khost province. In 2016, UNHCR verified the registration of almost 36,000 refugees in Paktika province, where access remains a challenge on account of insecurity as anti-government elements (AGEs) control or contest a substantial amount of territory. UNHCR has received unconfirmed reports that Pakistani refugees may be among the civilian casualties resulting from cross-border shelling, and armed conflict between pro-government forces and AGEs in Afghanistan. Cultural barriers also impact on efforts to comprehensively register the refugee population, especially women. Based on focus group discussions and key informants, UNHCR estimates that at least 100,000 refugees from NWA remain in Afghanistan. Some 16,440 refugees receive shelter and other essential services in the Gulan camp in Khost province, while most live alongside Afghan host communities in various urban and rural locations. NWA refugees benefit from the generous hospitality of provincial Afghan government authorities and the general population, due in part to tribal affiliations, as well as a shared understanding of the trauma of forced displacement. During participatory shura meetings, most refugees have stated they are currently unwilling to repatriate to Pakistan, including refugees who have undertaken independent visits to NWA to assess for themselves the conditions of return. UNHCR does not have the necessary permission of the Government of Pakistan to monitor refugee returns in NWA or to support sustainable reintegration. UNHCR Afghanistan, in coordination with other humanitarian agencies, provides targeted assistance to persons with specific needs (PSN) among the NWA refugee population in Khost and Paktika provinces, and implements community-based protection measures to build the resilience of refugees as well as the host population, promoting peaceful co-existence through livelihoods initiatives, shelter, education, healthcare, nutrition, WASH projects, and NFI distributions. The primary source of income among refugees is non-agricultural daily-wage labour, while some refugees subsist on remittances from relatives working abroad in other countries. More available here: https://data2.unhcr.org/en/documents/details/60896
    • XLSX
    • CSV
    • 200+ Downloads
    • This dataset updates: Never
  • UNHCR Afghanistan
    Updated September 12, 2018 | Dataset date: Jan 1, 2017-Dec 31, 2017
    Number of refugees returning to Afghanistan for the period 1 January 2017 to 31 December 2017 by district of destination and origin.
    • XLSX
    • CSV
    • 600+ Downloads
    • This dataset updates: Never
  • REACH Initiative
    Updated September 12, 2018 | Dataset date: Aug 1, 2018-Sep 26, 2018
    The overall objective of the Hard to Reach component of the Whole of Afghanistan Assessment was to supplement of the household data collection with an understanding of the multi-sectoral needs faced by those in Hard to Reach areas. This data ought to inform humanitarian programming in these districts and support the identification of nationwide inter-sectoral needs and how they inter-relate across different geographic locations and population groups outlined in the Humaniarian Needs Overview (HNO). The Hard to Reach component of the Whole of Afghanistan (WoA) Assessment utilised Mapping Focus Group Discussions for the mapping process and Key Informant Interviews with knowledgeable community members to identify needs and access constraints. This data complemented the household-level data collection component of the Whole of Afghanistan. The presented dataset here includes the key informant responses across the 70 Hard to Reach districts, conducted to capture inter-sectoral needs of displaced and host households in these areas of Afghanistan.
    • XLSX
    • 20+ Downloads
    • This dataset updates: Every year
  • REACH Initiative
    Updated September 12, 2018 | Dataset date: Jul 12, 2018-Aug 28, 2018
    The overall objective of the assessment was to inform multi-cluster humanitarian programming for the Afghanistan response by identifying inter-sectoral needs and how they inter-relate across different geographic locations and population groups outlined in the Humaniarian Needs Overview (HNO). The Whole of Afghanistan (WoA) Assessment was based on a mixed methods approach, employing a quantified household-level survey, key informant interviews, and focus group discussions to collect a wide range of data. The presented dataset includes the data from the household-level survey, generalisable at the provincial level for all population groups combined with a 95% confidence level and 5% margin of error, and generalisable at the regional level for each population group individually with a confident level of 95% and margin of error of 5%. This was done to capture inter-sectoral needs of displaced and host households in each province of Afghanistan.
    • XLSX
    • 20+ Downloads
    • This dataset updates: Every year
  • OCHA Afghanistan
    Updated September 11, 2018 | Dataset date: Jan 1, 2018-Aug 30, 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.
    • XLSX
    • CSV
    • 400+ Downloads
    • This dataset updates: Every month
  • International NGO Safety Organisation (INSO)
    Updated September 10, 2018 | Dataset date: Jan 1, 2016-Aug 31, 2018
    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
    • 900+ Downloads
    • This dataset updates: Every month
  • OurAirports
    Updated September 6, 2018 | Dataset date: Jan 1, 2008-Dec 31, 2027
    List of airports in Afghanistan, with latitude and longitude. Unverified community data from http://ourairports.com/countries/AF/
    • CSV
    • 30+ Downloads
    • This dataset updates: Live
  • HDX
    Updated September 5, 2018 | Dataset date: Jan 1, 1960-Dec 31, 2017
    Contains data from World Bank's data portal covering various economic and social indicators (one per resource).
    • JSON
    • 40+ Downloads
    • This dataset updates: Every year
  • HDX
    Updated September 5, 2018 | Dataset date: Jan 1, 1950-Jan 1, 2005
    [Source: United Nations Department of Economic and Social Affairs] Probability of dying between birth and exact age 5. It is expressed as average annual deaths per 1,000 births.
    • XLSX
    • CSV
    • TXT
    • 100+ Downloads
    • This dataset updates: Every year
  • HDX
    Updated September 5, 2018 | Dataset date: Jan 1, 1950-Jan 1, 2005
    [Source: United Nations Department of Economic and Social Affairs] The average number of years of life expected by a hypothetical cohort of individuals who would be subject during all their lives to the mortality rates of a given period.
    • XLSX
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    • TXT
    • 100+ Downloads
    • This dataset updates: Every year
  • HDX
    Updated September 5, 2018 | Dataset date: Jan 1, 1950-Jan 1, 2005
    [Source: United Nations Department of Economic and Social Affairs] Number of deaths over a given period. Refers to five-year periods running from 1 July to 30 June of the initial and final years.
    • XLSX
    • CSV
    • TXT
    • 100+ Downloads
    • This dataset updates: Every year
  • HDX
    Updated September 5, 2018 | Dataset date: Jan 1, 1950-Jan 1, 2010
    [Source: United Nations Department of Economic and Social Affairs] Total Population - Both Sexes. De facto population in a country, area or region as of 1 July of the year indicated. Figures are presented in thousands.
    • XLSX
    • CSV
    • TXT
    • 600+ Downloads
    • This dataset updates: Every year
  • OCHA Afghanistan
    Updated September 4, 2018 | Dataset date: Apr 1, 2018-Jun 30, 2018
    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.
    • CSV
    • XLSX
    • 30+ Downloads
    • This dataset updates: Every month
  • HDX
    Updated September 2, 2018 | Dataset date: Jan 1, 1950-Dec 31, 2050
    Contains data from World Health Organization's data portal covering various indicators (one per resource).
    • CSV
    • 100+ Downloads
    • This dataset updates: Every year
  • UNHCR - The UN Refugee Agency
    Updated August 29, 2018 | Dataset date: Jan 1, 1951-Dec 31, 2025
    Information about UNHCR's populations of concern in {country}. The data appears in two formats: a "wide" format, with all indicators in the same row, and a "long" (timeline) format, with one indicator on each row. All are disaggregated by country of origin, country of residence, and year.
    • CSV
    • 60+ Downloads
    • This dataset updates: Live
  • UNHCR - The UN Refugee Agency
    Updated August 29, 2018 | Dataset date: Jan 1, 1951-Dec 31, 2025
    Information about UNHCR's populations of concern in {country}. The data appears in two formats: a "wide" format, with all indicators in the same row, and a "long" (timeline) format, with one indicator on each row. All are disaggregated by country of origin, country of residence, and year.
    • CSV
    • 40+ Downloads
    • This dataset updates: Live
  • Internal Displacement Monitoring Centre (IDMC)
    Updated August 17, 2018 | Dataset date: Jan 1, 2008-Dec 31, 2017
    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 data portal.
    • JSON
    • 60+ Downloads
    • This dataset updates: Every year
  • Insecurity Insight
    Updated August 16, 2018 | Dataset date: Jan 1, 2017-Jun 30, 2018
    This dataset contains agency- and publicly-reported data for events in which an aid worker was killed, kidnapped, or arrested. Categorized by country.
    • XLSX
    • 500+ Downloads
    • This dataset updates: Every month
  • The Dataset contains IDPs, returnees at sub national level.
    • XLSX
    • 100+ Downloads
    • This dataset updates: Every six months