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  • 48000+ Downloads
    Updated 17 January 2022 | Dataset date: July 01, 2017-January 28, 2022
    This dataset updates: Never
    This is a repository for PDF files that are linked on the OCHA Centre for Humanitarian Data's website, https://centre.humdata.org. Please note that if you wish to access these files, we recommend you use the Resources section of the Centre's website rather than downloading from HDX.
  • Updated 4 July 2021 | Dataset date: November 08, 2015-December 04, 2015
    This dataset updates: Never
    Kakuma Refugee Camp is one of the longest-standing humanitarian settlements in sub-Saharan Africa and one of the largest refugee camps in the world. In response to recent reductions in funding for the Kenyan refugee operation, increased global competition for funds, and a common belief that not all refugees in such protracted situations have the same humanitarian assistance needs, UNHCR and WFP decided to undertake a study among refugees in Kakuma Camp. The main aims were to fill knowledge gaps regarding refugee livelihoods and the level and differences of vulnerability in refugee households, as well as to explore the feasibility of delivering more differentiated assistance and to identify the mechanisms that would need to be put in place to do so. Specifically, the study was meant to determine whether a permanent targeting mechanism could be put in place or whether other ways of prioritising assistance exist when resources are tight. The survey covered 2,000 households and was implemented in November/December 2015.
  • Updated 27 May 2021 | Dataset date: January 01, 2015-March 31, 2015
    This dataset updates: Never
    UNHCR in collaboration with the Ministry of Public Health (MINSANTE) and all of its partners decided to carry out a SENS survey in all the sites developed for Central African refugees in the East and Adamawa regions in the period from January to March 2015. This is an extensive nutritional survey that includes six modules: anthropometry and health, anemia, Infant and Young Child Feeding (IYCF), Food security, Water, Sanitation and Hygiene, and Mosquito net coverage. This edition is the first of this kind of investigation into the operation to assist Central African refugees in Cameroon. Its interest is linked to the fact that it is a scientific work which provides basic information in several sensitive areas. Also it will serve as a basis for decision-making and orientation of ongoing projects, and then make advocacy for fundraising. This assessment is also part of a continuous monitoring of the nutritional situation of these refugee populations over time.
  • Updated 4 July 2021 | Dataset date: October 01, 2014-February 28, 2015
    This dataset updates: Never
    In 2014/2015, WFP and UNHCR, the Government's main partners in providing assistance to refugees, conducted a "socio-economic categorization" in select refugee camps in Chad. This dataset covers a total of 12,643 households in the Gozamir and Belom refugee camps.
  • Updated 4 July 2021 | Dataset date: October 10, 2012-October 30, 2012
    This dataset updates: Never
    The UNHCR Standardized Expanded Nutrition Surveys (SENS) provide regular nutrition data that play a key role in delivering effective and timely interventions to ensure good nutritional outcomes among populations affected by forced displacement. This survey was conducted in October 2012 in Liberia in three counties (Maryland, Grand Gedeh, and Nimba) and in five refugee camp (Little Wlebo in Maryland; Solo, PTP, and Dougee in Grand Gedeh; and in Bahn camp in Nimba) hosting refugees from Côte d'Ivoire. It was organized by UNHCR and World Food Programme (WFP) in close collaboration with implementing partners, operational partners, and the Ministry of Health and Social Welfare (MoHSW) of the Republic of Liberia. This was the first of three SENS surveys that took place. Subsequent surveys took place in 2013 and 2015.
  • Updated 4 July 2021 | Dataset date: November 11, 2013-December 13, 2013
    This dataset updates: Never
    The UNHCR Standardized Expanded Nutrition Surveys (SENS) provide regular nutrition data that play a key role in delivering effective and timely interventions to ensure good nutritional outcomes among populations affected by forced displacement. This survey took place in the four Ivorian refugee camps (Bahn, PTP, Solo, and Little Wlebo) in Nimba, Grand Gedeh and Maryland Counties along the border with Cote d'Ivoire from November to December 2013. UNHCR and the World Food Programme (WFP) organized the survey in close collaboration with partners including Africa Humanitarian Action (AHA), International Refugee Committee (IRC), Merlin, Danish Refugee Council (DRC), CARE, and the Country Health Teams / Ministry of Health and Social Welfare of the Government of the Republic of Liberia. This was the second SENS to be conducted in the camps since the Ivorian refugee emergency in 2010 in Liberia; the first was in 2012.
  • Updated 4 July 2021 | Dataset date: April 07, 2015-May 02, 2015
    This dataset updates: Never
    The UNHCR Standardized Expanded Nutrition Surveys (SENS) provide regular nutrition data that plays a key role in delivering effective and timely interventions to ensure good nutritional outcomes among populations affected by forced displacement. This survey was conducted in Bahn, PTP and Little Wlebo camps, which are located in Maryland, Grand Gedeh and Nimba counties lying along the border of Liberia and Côte d'Ivoire. The three camps were hosting close to 29,000 Ivorian refugees including approximately 5,000 children aged below five years. The survey, which was organized by UNHCR in close collaboration with World Food Programme (WFP), UN Childrens Fund (UNICEF), CARE, African Humanitarian Action (AHA) and Country Health Teams / Ministry of Health and Social Welfare of the Republic of Liberia, was conducted from 7th April to 2nd May 2015. This was the third SENS to be conducted in the camps since the Ivorian refugee emergency in 2010 in Liberia; the first was in 2012 and the second in 2013.
  • 2500+ Downloads
    Updated 12 January 2022 | Dataset date: December 31, 2010-December 31, 2010
    This dataset updates: Never
    The Darfur Damaged and Destroyed Villages dataset describes the condition of villages in the Darfur region of Sudan that the U.S. Government has confirmed as either damaged or destroyed between the time period February 2003 to December 2010. Additionally, villages that are confirmed to have No Damage are also reported.
  • 2300+ Downloads
    Updated 12 January 2022 | Dataset date: January 06, 2012-January 06, 2012
    This dataset updates: Never
    The HoA Refugee Database, produced by the Humanitarian Information Unit of the U.S. Department of State, is a compilation of the UN High Commission of Refugees (UNHCR) population and demographic data reports for refugee camp populations in the Horn of Africa Region. Dadaab Camp in Kenya and Dollo Ado camp of Ethiopia are the focus; there are seven sites within Dadaab: Dagahaley Camp, Hagadera Camp, Ifo Camp, Ifo 2 East Camp, Ifo 2 West Camp, and Camp Kambioos, and five sites within Dollo Ado: Bokolmanyo Camp, Melkadida Camp, Kobe Camp, Hilaweyn Camp, and Buramino Camp. The HoA Refugee Database originated in July of 2011 and the current release is through December 2011. The HoA Refugee Database includes several demographic variables of populations within the refugee camps, including: individual population, household counts, gender, age and nationality. Geographic location, in the form of latitude and longitude coordinates, are provided for each of the camps.
  • 5000+ Downloads
    Updated 12 January 2022 | Dataset date: June 11, 2015-June 11, 2015
    This dataset updates: Never
    Data as of June 11, 2015. The "Syria Refugee Sites" dataset contains verified data about the geographic location (point geometry), name, and operational status of refugee sites hosting Syrian refugees in Turkey, Jordan, and Iraq. Only refugee sites operated by the United Nations High Commissioner for Refugees (UNHCR) or the Government of Turkey are included. Compiled by the U.S Department of State, Humanitarian Information Unit (INR/GGI/HIU), each attribute in the dataset (including name, location, and status) is verified against multiple sources. The name and status are obtained from the UNHCR data portal (accessible at http://data.unhcr.org/syrianrefugees/regional.php). The locations are obtained from the U.S. Department of State, Bureau of Population, Refugees, and Migration (PRM) and the National Geospatial-Intelligence Agency's GEOnet Names Server (GNS) (accessible at http://geonames.nga.mil/ggmagaz/). The name and status for each refugee site is verified with PRM. Locations are verified using high-resolution commercial satellite imagery and/or known areas of population. Additionally, all data is checked against various news sources. Locations are only accurate down to the city level. The designation field gives the type of site and the status of the site. Sites can be "Official Camps", camp settlements that are officially established and maintained by the United Nations or host country. Sites can also be "Transitional Camps", which is a typical camp structure but designed to be temporary or used on as needed basis. There can also be "Transitional Facilities"; these are facilities that are being used to temporarily house refugees. Status of these sites can be Planned, Under Construction, Staged, Open, or Closed. The data contained herein is entirely unclassified and is current as of 11 June 2015. The data is updated as needed.
  • 16000+ Downloads
    Updated 4 April 2019 | Dataset date: June 30, 2015-June 30, 2015
    This dataset updates: Never
    Data as of early 2016. The "Syria IDP Sites" dataset is compiled by the U.S. Department of State, Humanitarian Information Unit (INR/GGI/HIU). This dataset contains open source derived data about the geographic locations (point geometry) of identified tent camps and other locations, such as collective centers, schools, mosques, sports facilities, host families, etc. in towns inside Syria where displacement has taken place. Sources of this information include the United Nations, the Assistance Coordination Unit, the Syria Needs Assessment Project, NGOs, and media reports. Location coordinates are at the city level and are plotted using the Syria P-Code system (http://www.mapaction.org/map-catalogue/mapdetail/2753.html) and NGA GEOnet Names Server (http://earth-info.nga.mil/gns/html) datasets. The field "PCode" is a combination of the all the administrative level and community level P-Codes for a specific location. Camp locations are verified using high-resolutions commercial satellite imagery. In the "Designation" field "IDP Site" refers to informal or formal settlements for specific IDP use. This dataset will be updated as needed and is current as of late June 2015. This dataset is primarily hosted on the State GeoNode, the open geographic data platform of the U.S. Department of State.
  • 3200+ Downloads
    Updated 12 January 2022 | Dataset date: June 11, 2015-June 11, 2015
    This dataset updates: Never
    Data as of June 11, 2015. The "Syria Border Crossings" dataset contains verified data about the geographic location (point geometry) and name of border crossings for Syria. Compiled by the U.S. Department of State, Humanitarian Information Unit (https://hiu.state.gov/), each attribute in the dataset is verified against multiple sources. Locations are only accurate down to the city level. The data contained herein is entirely unclassified and is current as of 16 April 2015. The data is updated as needed. This dataset is primarily hosted on the State GeoNode, the open geographic data platform of the U.S. Department of State.
  • 300+ Downloads
    Updated 12 January 2022 | Dataset date: May 01, 2013-May 01, 2013
    This dataset updates: Never
    The Syria Cultural Sites dataset contains geographic location (point geometry), name, type, and area name of over 1000 cultural heritage sites and museums in Syria compiled by the Cultural Heritage Center, Bureau of Educational and Cultural Affairs, U.S. Department of State (http://eca.state.gov/cultural-heritage-center) as of Spring 2013. The sites are categorized by type, which include but not limited to, archaeological sites, roman ruins, mosques, schools, churches, cemeteries, and towns. The data contained herein is entirely unclassified.
  • 100+ Downloads
    Updated 12 January 2022 | Dataset date: December 02, 2014-December 02, 2014
    This dataset updates: Never
    Services provided by the ET Cluster in Sierra Leone. MLB/FLB servics are provided by UNMEER and UNMIL with support from ET Cluster.
  • 100+ Downloads
    Updated 12 January 2022 | Dataset date: December 02, 2014-December 02, 2014
    This dataset updates: Never
    Services provided by the ET Cluster in Liberia. MLB/FLB servics are provided by UNMEER and UNMIL with support from ET Cluster.
  • 100+ Downloads
    Updated 12 January 2022 | Dataset date: December 02, 2014-December 02, 2014
    This dataset updates: Never
    Services provided by the ET Cluster in Guinea. MLB/FLB services are provided by UNMEER and UNMIL with support from the ET Cluster.
  • 100+ Downloads
    Updated 10 January 2022 | Dataset date: January 01, 2001-December 31, 2014
    This dataset updates: Never
    This dataset contains data from UNHCR's comprehensive annual statistical yearbooks. The yearbooks are a rigorous review of refugee figures on that year. It also contains reviews on figures about asylum seekers, IDPs, and other population groups. Original reports are also available on UNHCR's Statistical Yearbook website.
  • 100+ Downloads
    Updated 9 January 2022 | Dataset date: November 03, 2014-November 03, 2014
    This dataset updates: Never
    We have provided the 3 word addresses of each health centre within the West African Region. what3words is a simple, real-time, location referencing system which solves many of the key logistical issues facing aid and humanitarian organisations, for whom street addresses, GPS co-ordinates, and other systems don't exist or are problematic. Using words means non-technical people can find any location more accurately and most importantly, communicate it more quickly, more easily and with less ambiguity than any other system. For more information, to get our API or batch encode your coordinates visit http://www.developer.what3words.com
  • 1700+ Downloads
    Updated 24 November 2015 | Dataset date: March 20, 2015-March 20, 2015
    This dataset updates: Never
    The "LSIB Geographic Thesaurus" enables integration of multiple datasets across different country codes, including the FIPS and ISO standard codes. This geographic thesaurus streamlines integration of datasets from multiple sources. This thesaurus includes the following codes: FIPS, ISO Alpha-2, ISO Alpha-3, ISO Numeric, NATO Stanag, and ccTLD. Although this thesaurus was compiled by the U.S. Department of State, Humanitarian Information Unit, the codes themselves are managed by their respective organizations. The data contained herein is entirely unclassified and is current as of 20 March 2015. The data is updated as needed.
  • 300+ Downloads
    Updated 29 November 2018 | Dataset date: December 31, 2014-December 31, 2014
    This dataset updates: Never
    This dataset shows the enrollment per gender per county for primary school children attending private schools in Kenya
  • 200+ Downloads
    Updated 10 October 2018 | Dataset date: January 01, 2011-December 30, 2014
    This dataset updates: Never
    This data shows the Service coverage of the Athi River Water and Services Board
  • 100+ Downloads
    Updated 10 March 2020 | Dataset date: March 23, 2015-March 23, 2015
    This dataset updates: Never
    The INFORM Greater Horn of Africa model is part of an initiative of Intergovernmental Authority on Development (IGAD) and OCHA to improve IGAD’s ability to analyse, visualise and disseminate information to support the prevention, preparedness and response to humanitarian crises in the region. The model will be updated regularly to support regional coordination and prioritise humanitarian, development, risk management and resilience investments.
  • 300+ Downloads
    Updated 13 September 2018 | Dataset date: September 15, 2015-September 15, 2015
    This dataset updates: Never
    INFORM Lebanon was developed by the Lebanon Joint Analysis Unit, which supports the Resident/Humanitarian Coordinator and is a collaboration of humanitarian, development and governmental partners that supports cross sectoral planning at the national level. INFORM Lebanon is being embedded in regional processes and coordination mechanisms to help all partners quantify and prioritise humanitarian and disaster risks in Lebanon in the context of the regional Syrian Crisis Response.
  • 100+ Downloads
    Updated 10 March 2020 | Dataset date: May 03, 2015-May 03, 2015
    This dataset updates: Never
    The development of the INFORM Colombia model was initiated by OCHA and UNICEF. It is a municipallevel risk index, which identifis threats, vulnerabilities and response capacities throughout the country. The results have been used in the Humanitarian Needs Overview 2016 and by UNICEF planners and donors. The model includes specific components to evaluate risk levels for children and adolescents. Partners are now investigating if the model can be extended to cover additional countries in the region.
  • 2000+ Downloads
    Updated 20 February 2017 | Dataset date: December 30, 2009-December 30, 2009
    This dataset updates: Never
    Kenya's Population Distribution by Sex, Number of Households, Area and Density per constituency