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  • 100+ Downloads
    Time Period of the Dataset [?]: October 06, 2016-October 06, 2016 ... More
    Modified [?]: 1 March 2017
    Confirmed [?]: 23 April 2021
    Dataset Added on HDX [?]: 6 October 2016
    This dataset updates: Never
    Partial Assessment and 3W matrix ,Hurricane Matthew. as of 06.10.2016
  • 50+ Downloads
    Time Period of the Dataset [?]: October 07, 2016-October 07, 2016 ... More
    Modified [?]: 1 March 2017
    Dataset Added on HDX [?]: 7 October 2016
    This dataset updates: Never
    This dataset is part of the data series [?]: IFRC DCPRR Americas Team - Hurricane Matthew 4W
    Partial Assessment and 3W matrix ,Hurricane Matthew. as of 07.10.2016
  • 200+ Downloads
    Time Period of the Dataset [?]: January 01, 2016-March 01, 2016 ... More
    Modified [?]: 28 February 2017
    Dataset Added on HDX [?]: 28 February 2017
    This dataset updates: Never
    In October, November and December 2016, a comprehensive mixed qualitative verification exercise was undertaken in Afghanistan. A secondary data review of assessment data identifying IDPs displaced between the 1st of January 2014 and 1st of March 2016 allowed an estimate of nationwide prolonged IDP locations and population. Field teams then verified through key informant interviews, data requests and field visits to verify the populations found at each location, and snowballed to widen the geographic coverage. The final dataset presented here is the list of locations verified, with estimated populations.
  • 500+ Downloads
    Time Period of the Dataset [?]: November 30, 2016-November 30, 2016 ... More
    Modified [?]: 28 February 2017
    Dataset Added on HDX [?]: 28 February 2017
    This dataset updates: Never
    Kenya’s commitment to close down Dadaab by mid-2017, the world’s largest refugee camp hosting over 300,000 Somalis, is putting increasing pressure on service delivery and infrastructure in Somalia. By October 2016, an estimate of 31,226 Somali people have returned from Kenya, the majority of which are heading to Kismayo, Baidoa, Luuq and Mogadishu. While the caseload of returnees is expected to continue growing over the coming months, there is no clear understanding of movement patterns of returnees or internally displaced persons which further complicates the attempts by humanitarian organisations to provide for required services. The absence of a CCCM cluster in Somalia means that information on humanitarian needs and gaps has been limited to ad-hoc and un-coordinated assessments. The Kismayo IDP settlement assessment was triggered as a result of the need for a multi-cluster, area-based and coordinated information approach for humanitarian planning and service delivery in informal IDP settlements in Somalia. The Kismayo IDP Settlement Assessment was carried out with financial support from USAID-OFDA and ECHO and in close collaboration with clusters (WASH, Shelter & NFIs, Education, Food Security, Health, Nutrition and Protection).
  • 400+ Downloads
    Time Period of the Dataset [?]: November 30, 2016-November 30, 2016 ... More
    Modified [?]: 28 February 2017
    Dataset Added on HDX [?]: 28 February 2017
    This dataset updates: Never
    Kenya’s commitment to close down Dadaab by mid-2017, the world’s largest refugee camp hosting over 300,000 Somalis, is putting increasing pressure on service delivery and infrastructure in Somalia. By October 2016, an estimate of 31,226 Somali people have returned from Kenya, the majority of which are heading to Kismayo, Baidoa, Luuq and Mogadishu. While the caseload of returnees is expected to continue growing over the coming months, there is no clear understanding of movement patterns of returnees or internally displaced persons which further complicates the attempts by humanitarian organisations to provide for required services. The absence of a CCCM cluster in Somalia means that information on humanitarian needs and gaps has been limited to ad-hoc and un-coordinated assessments. The Kismayo IDP settlement assessment was triggered as a result of the need for a multi-cluster, area-based and coordinated information approach for humanitarian planning and service delivery in informal IDP settlements in Somalia. The Kismayo IDP Settlement Assessment was carried out with financial support from USAID-OFDA and ECHO and in close collaboration with clusters (WASH, Shelter & NFIs, Education, Food Security, Health, Nutrition and Protection).
  • 20+ Downloads
    Time Period of the Dataset [?]: February 17, 2017-February 17, 2017 ... More
    Modified [?]: 24 February 2017
    Dataset Added on HDX [?]: 22 February 2017
    This dataset updates: Never
    This map illustrates satellite-detected flood waters over Save River in Mozambique as observed from the Radarsat-2 images acquired on 17 February 2017 and 05 February 2017. A decrease of surface waters was observed in the 17 February 2017 image compared to the 05 February 2017 image along the Save river. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.
  • 30+ Downloads
    Time Period of the Dataset [?]: February 15, 2017-February 15, 2017 ... More
    Modified [?]: 24 February 2017
    Dataset Added on HDX [?]: 22 February 2017
    This dataset updates: Never
    The Tropical Cyclone Dineo-17, is approaching Mozambique coasts and is expected to make landfall The 16 February 2017 in the central province of Inhambane. Potential heavy rainfall are also expected according microwave satellite sensors and might induce flooding in the affected areas. This report provides an analysis on the potentially exposed population per wind speed zones in Mozambique. According to our analysis approximately 250,000 people in Mozambique may be exposed to over 120km/h sustainable wind speeds and 59,000 people might be exposed to 90km/h wind speed. About 1,160,000 people might be exposed to moderate winds of 60km/h.
  • 100+ Downloads
    Time Period of the Dataset [?]: January 01, 2017-July 31, 2017 ... More
    Modified [?]: 22 February 2017
    Dataset Added on HDX [?]: 22 February 2017
    This dataset updates: Never
    South Sudan Integrated Food Security Phase classification and population by state and County. The Integrated Food Security Phase Classification (IPC), also known as IPC scale, is a tool for improving food security analysis and decision-making. It is a standardized scale that integrates food security, nutrition and livelihood information into a statement about the nature and severity of a crisis and implications for strategic response. The IPC was originally developed for use in Somalia by the United Nations Food and Agriculture Organization's Food Security Analysis Unit (FSAU). Several national governments and international agencies, including CARE International, European Commission Joint Research Centre (EC JRC), Food and Agricultural Organization of the United Nations (FAO), USAID/FEWS NET, Oxfam GB, Save the Children UK/US, and United Nations World Food Programme (WFP), have been working together to adapt it to other food security contexts
  • 100+ Downloads
    Time Period of the Dataset [?]: October 01, 2016-December 31, 2017 ... More
    Modified [?]: 22 February 2017
    Confirmed [?]: 10 March 2020
    Dataset Added on HDX [?]: 22 February 2017
    This dataset updates: Never
    Round III of DTM captured information on variables about the population of concern, disaggregated at the settlement level in Somalia
  • 300+ Downloads
    Time Period of the Dataset [?]: December 30, 2009-December 30, 2009 ... More
    Modified [?]: 20 February 2017
    Dataset Added on HDX [?]: 20 February 2017
    This dataset updates: Never
    Kenya's Population Distribution by Sex, Number of Households, Area and Density per constituency
  • 100+ Downloads
    Time Period of the Dataset [?]: January 01, 2015-December 31, 2015 ... More
    Modified [?]: 18 February 2017
    Dataset Added on HDX [?]: 18 February 2017
    This dataset updates: Never
    Couverture vaccinale par antigène, par région et par district au Burkina Faso en 2015
  • 1200+ Downloads
    Time Period of the Dataset [?]: February 01, 2015-February 01, 2015 ... More
    Modified [?]: 17 February 2017
    Dataset Added on HDX [?]: 17 February 2017
    This dataset updates: Never
    This shapefile was produced for the flood response of 2015 on the month of January
  • 60+ Downloads
    Time Period of the Dataset [?]: August 01, 2014-December 31, 2014 ... More
    Modified [?]: 17 February 2017
    Dataset Added on HDX [?]: 10 February 2017
    This dataset updates: Never
    Caracterización de población desplazada debido a la criminalidad en centros urbanos de Honduras (20 municipios). Información de 1,300 hogares desplazados internos y 838 hogares de comparación (no desplazados). Ejercicio liderado por la Comisión Interinstitucional para la Protección de las Personas Desplazadas por la Violencia (Honduras), con el apoyo del INE (Honduras), ACNUR y JIPS. La información puede ser analizada fácilmente en el DART: http://www.dart.jips.org/.
  • 100+ Downloads
    Time Period of the Dataset [?]: February 01, 2015-January 01, 2016 ... More
    Modified [?]: 10 February 2017
    Dataset Added on HDX [?]: 10 February 2017
    This dataset updates: Never
    Somalia (Hargeisa) profiling exercise of IDPs from Somaliland, IDPs from South-Central Somalia, economic migrants, host communities, and refugees and asylum-seekers with data collected between February and June 2015 (report published January 2016). The exercise included a household survey administered to a sample of 2,510 households. Data can also be explored through the DART.
  • 500+ Downloads
    Time Period of the Dataset [?]: February 10, 2017-February 10, 2017 ... More
    Modified [?]: 10 February 2017
    Dataset Added on HDX [?]: 10 February 2017
    This dataset updates: Never
    Here we provide poverty data created using Bayesian model-based geostatistics in combination with high resolution gridded spatial covariates and aggregated mobile phone data applied to geolocated household survey data on poverty from the DHS wealth index (2011), the Progress out of Poverty Index (2014), and household income (2013). Citation: Steele, J. E. et al. Mapping poverty using mobile phone and satellite data. J. R. Soc. Interface 14, 20160690 (2017). Online here: http://rsif.royalsocietypublishing.org/content/14/127/20160690
  • 100+ Downloads
    Time Period of the Dataset [?]: January 01, 2004-December 31, 2015 ... More
    Modified [?]: 8 February 2017
    Dataset Added on HDX [?]: 6 February 2017
    This dataset updates: Never
    Effectifs des élèves du primaire de 2004 à 2015 sur le plan national au Burkina Faso
  • 50+ Downloads
    Time Period of the Dataset [?]: February 07, 2017-February 07, 2017 ... More
    Modified [?]: 7 February 2017
    Dataset Added on HDX [?]: 7 February 2017
    This dataset updates: Never
    The Formal Sites Monitoring Tool (FSMT) is a camp management monitoring tool, designed to provide a synopsis of the main demographic information at site level as well key humanitarian indicators for all formal sites across Iraq.
  • 100+ Downloads
    Time Period of the Dataset [?]: December 29, 2016-December 30, 2016 ... More
    Modified [?]: 6 February 2017
    Dataset Added on HDX [?]: 3 February 2017
    This dataset updates: Never
    This dataset is part of the data series [?]: Somalia - Water Price Monitoring
    Water Price Monitoring in Gedo Region, Somalia.
  • 90+ Downloads
    Time Period of the Dataset [?]: January 01, 2015-December 31, 2015 ... More
    Modified [?]: 4 February 2017
    Dataset Added on HDX [?]: 4 February 2017
    This dataset updates: Never
    Nombre d'infrastructures sanitaires publiques selon le type en 2015 au Burkina Faso
  • 30+ Downloads
    Time Period of the Dataset [?]: November 28, 2016-November 30, 2016 ... More
    Modified [?]: 3 February 2017
    Dataset Added on HDX [?]: 3 February 2017
    This dataset updates: Never
    This dataset is part of the data series [?]: Somalia - Water Price Monitoring
    Water Price Monitorning, Gedo Region Somalia, November 2016
  • Time Period of the Dataset [?]: January 06, 2017-January 06, 2017 ... More
    Modified [?]: 19 January 2017
    Dataset Added on HDX [?]: 18 January 2017
    This dataset updates: Never
    This map illustrates satellite-detected damage density in a portion of the city of Deir Ez Zor, Syrian Arab Republic. Using satellite imagery acquired 25 May 2016, 10 May 2015, 13 May 2014, and 24 October 2013, UNITAR - UNOSAT identified a total of 4,595 affected structures within the city. Approximately 786 of these were destroyed, 1,386 severely damaged, and 2,423 moderately damaged. While much of the city was damaged by 10 May 2015, 1,344 structures were newly damaged and 67 structures experienced an increase in damage between that date and 25 May 2016. This analysis does not include pre-war military bases and facilities. This analysis was done as part of the REACH initiative for the U.S. Office of Foreign Disaster Assistance. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 40+ Downloads
    Time Period of the Dataset [?]: January 17, 2017-January 17, 2017 ... More
    Modified [?]: 19 January 2017
    Dataset Added on HDX [?]: 18 January 2017
    This dataset updates: Never
    This map illustrates satellite-detected damage east of the city of Damascus, Syrian Arab Republic. Using satellite imagery acquired 02 April 2016, UNITAR - UNOSAT identified a total of 17,043 affected structures within and around the Jobar neighborhood and the city of Irbin. Approximately 4,492 of these were destroyed, 7,032 severely damaged, and 5,525 moderately damaged. This analysis was done as part of a broader analysis of areas around Damascus, and the full analysis revealed a total of 24,391 affected structures, of which 7,346 were destroyed, 9,423 severely damaged, and 7,622 moderately damaged. This analysis does not include pre-war military bases and facilities. This analysis was done as part of the REACH initiative for the U.S. Office of Foreign Disaster Assistance. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 10+ Downloads
    Time Period of the Dataset [?]: January 17, 2017-January 17, 2017 ... More
    Modified [?]: 19 January 2017
    Dataset Added on HDX [?]: 18 January 2017
    This dataset updates: Never
    This map illustrates satellite-detected damage density east of the city of Damascus, Syrian Arab Republic. Using satellite imagery acquired 02 April 2016, UNITAR - UNOSAT identified a total of 17,043 affected structures within and around the Jobar neighborhood and the city of Irbin. Approximately 4,492 of these were destroyed, 7,032 severely damaged, and 5,525 moderately damaged. This analysis was done as part of a broader analysis of areas around Damascus, and the full analysis revealed a total of 24,391 affected structures, of which 7,346 were destroyed, 9,423 severely damaged, and 7,622 moderately damaged. This analysis does not include pre-war military bases and facilities. This analysis was done as part of the REACH initiative for the U.S. Office of Foreign Disaster Assistance. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • Time Period of the Dataset [?]: January 17, 2017-January 17, 2017 ... More
    Modified [?]: 19 January 2017
    Dataset Added on HDX [?]: 18 January 2017
    This dataset updates: Never
    This map illustrates satellite-detected damage density in the city of Daraa, Syrian Arab Republic. Using satellite imagery acquired 16 April 2016, 04 June 2015, 01 May 2014, 07 September 2013, and 14 December 2010, UNITAR - UNOSAT identified a total of 1180 affected structures, of which 217 were destroyed, 400 severely damaged, and 563 moderately damaged. This analysis does not include pre-war military bases and facilities. Trend analysis shows an increase in the number of damaged structures since 04 June 2015 and 190 structures are newly damaged. This analysis was done as part of the REACH initiative for the U.S. Office of Foreign Disaster Assistance. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • Time Period of the Dataset [?]: January 17, 2017-January 17, 2017 ... More
    Modified [?]: 19 January 2017
    Dataset Added on HDX [?]: 18 January 2017
    This dataset updates: Never
    This map illustrates satellite-detected damage density in the city of Daraa, Syrian Arab Republic. Using satellite imagery acquired 04 June 2015, 01 May 2014, 07 September 2013, and 14 December 2010, UNITAR - UNOSAT identified a total of 990 affected structures, of which 152 were destroyed, 358 severely damaged, and 480 moderately damaged. This analysis does not include pre-war military bases and facilities. Trend analysis shows an increase in the number of damaged structures since 1 May 2014 and approximately 618 structures are newly damaged. This analysis was done as part of the REACH initiative for the U.S. Office of Foreign Disaster Assistance. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.