Datasets [20535] | Archived Datasets[2827] [?]
  • Time Period of the Dataset [?]: February 15, 2017-February 15, 2017 ... More
    Modified [?]: 24 February 2017
    Dataset Added on HDX [?]: 22 February 2017
    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.
    30+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: January 01, 2017-July 31, 2017 ... More
    Modified [?]: 22 February 2017
    Dataset Added on HDX [?]: 22 February 2017
    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
    This dataset updates: Never
  • 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
    Round III of DTM captured information on variables about the population of concern, disaggregated at the settlement level in Somalia
    100+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: December 30, 2009-December 30, 2009 ... More
    Modified [?]: 20 February 2017
    Dataset Added on HDX [?]: 20 February 2017
    Kenya's Population Distribution by Sex, Number of Households, Area and Density per constituency
    300+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: January 01, 2015-December 31, 2015 ... More
    Modified [?]: 18 February 2017
    Dataset Added on HDX [?]: 18 February 2017
    Couverture vaccinale par antigène, par région et par district au Burkina Faso en 2015
    100+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: February 01, 2015-February 01, 2015 ... More
    Modified [?]: 17 February 2017
    Dataset Added on HDX [?]: 17 February 2017
    This shapefile was produced for the flood response of 2015 on the month of January
    1200+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: August 01, 2014-December 31, 2014 ... More
    Modified [?]: 17 February 2017
    Dataset Added on HDX [?]: 10 February 2017
    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/.
    60+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: February 01, 2015-January 01, 2016 ... More
    Modified [?]: 10 February 2017
    Dataset Added on HDX [?]: 10 February 2017
    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.
    100+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: February 10, 2017-February 10, 2017 ... More
    Modified [?]: 10 February 2017
    Dataset Added on HDX [?]: 10 February 2017
    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
    500+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: January 01, 2004-December 31, 2015 ... More
    Modified [?]: 8 February 2017
    Dataset Added on HDX [?]: 6 February 2017
    Effectifs des élèves du primaire de 2004 à 2015 sur le plan national au Burkina Faso
    100+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: February 07, 2017-February 07, 2017 ... More
    Modified [?]: 7 February 2017
    Dataset Added on HDX [?]: 7 February 2017
    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.
    50+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: December 29, 2016-December 30, 2016 ... More
    Modified [?]: 6 February 2017
    Dataset Added on HDX [?]: 3 February 2017
    Water Price Monitoring in Gedo Region, Somalia.
    100+ Downloads
    This dataset updates: Never
    This dataset is part of the data series [?]: Somalia - Water Price Monitoring
  • Time Period of the Dataset [?]: January 01, 2015-December 31, 2015 ... More
    Modified [?]: 4 February 2017
    Dataset Added on HDX [?]: 4 February 2017
    Nombre d'infrastructures sanitaires publiques selon le type en 2015 au Burkina Faso
    90+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: November 28, 2016-November 30, 2016 ... More
    Modified [?]: 3 February 2017
    Dataset Added on HDX [?]: 3 February 2017
    Water Price Monitorning, Gedo Region Somalia, November 2016
    30+ Downloads
    This dataset updates: Never
    This dataset is part of the data series [?]: Somalia - Water Price Monitoring
  • Time Period of the Dataset [?]: January 06, 2017-January 06, 2017 ... More
    Modified [?]: 19 January 2017
    Dataset Added on HDX [?]: 18 January 2017
    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.
    This dataset updates: Never
  • Time Period of the Dataset [?]: January 17, 2017-January 17, 2017 ... More
    Modified [?]: 19 January 2017
    Dataset Added on HDX [?]: 18 January 2017
    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.
    40+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: January 17, 2017-January 17, 2017 ... More
    Modified [?]: 19 January 2017
    Dataset Added on HDX [?]: 18 January 2017
    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.
    10+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: January 17, 2017-January 17, 2017 ... More
    Modified [?]: 19 January 2017
    Dataset Added on HDX [?]: 18 January 2017
    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.
    This dataset updates: Never
  • Time Period of the Dataset [?]: January 17, 2017-January 17, 2017 ... More
    Modified [?]: 19 January 2017
    Dataset Added on HDX [?]: 18 January 2017
    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.
    This dataset updates: Never
  • Time Period of the Dataset [?]: January 17, 2017-January 17, 2017 ... More
    Modified [?]: 19 January 2017
    Dataset Added on HDX [?]: 18 January 2017
    This map illustrates satellite-detected damage and destruction in a portion of the city of Hama, Hama Governorate, Syria. Using satellite imagery acquired 06 July and 30 June 2016, 05 March 2014, 26 September 2013, and 06 August 2010, UNITAR - UNOSAT identified a total of 5,968 affected structures, of which 4,969 were destroyed, 345 severely damaged, and 654 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.
    40+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: January 17, 2017-January 17, 2017 ... More
    Modified [?]: 19 January 2017
    Dataset Added on HDX [?]: 18 January 2017
    This map illustrates satellite-detected damage density in the city of Hama, Hama Governorate, Syria. Using satellite imagery acquired 06 July and 30 June 2016, 05 March 2014, 26 September 2013, and 06 August 2010, UNITAR - UNOSAT identified a total of 5,968 affected structures, of which 4,969 were destroyed, 345 severely damaged, and 654 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
    This dataset updates: Never
  • Time Period of the Dataset [?]: January 17, 2017-January 17, 2017 ... More
    Modified [?]: 19 January 2017
    Dataset Added on HDX [?]: 18 January 2017
    This map illustrates satellite-detected damage density in the city of Hama, Hama Governorate, Syria. Using satellite imagery acquired 05 March 2014, 26 September 2013, and 06 August 2010, UNITAR - UNOSAT identified a total of 5,224 affected structures, of which 4,664 were destroyed, 215 severely damaged, and 345 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
    This dataset updates: Never
  • Time Period of the Dataset [?]: January 12, 2017-January 12, 2017 ... More
    Modified [?]: 18 January 2017
    Dataset Added on HDX [?]: 18 January 2017
    This map illustrates satellite-detected fires and smoke plumes at oil wells south of Mosul, and also east of Baiji, Iraq. The Mosul fires began with an initial fire at one or two wells on 8 May 2016, lasting less than one day, and intermittently burned in June. The current fire complex began on 3 July with daily fire detections occurring until about 12 July, when the fires greatly increased in number and continued to burn until gradual reductions in detected fires occurred starting in November 2016. The fires east of Baiji have been active since early January 2016. The frequency of smoke plumes (in days) is symbolized in shades of red and yellow, and was calculated using daily MODIS satellite images collected between 18 July 2016 and 7 January 2017. Note that as the plume dissipates then areas of thinner smoke are not detected in this process. The inset on the top right corner shows the infrared data from a Landsat image collected on 23 December 2016, indicating the Mosul fires in white. The inset on the top left corner, from 1 January 2017, shows the same area in real color. Additionally, precipitation data from NASA's IMERG algorithm was included to evaluate instances of rainfall intersecting the smoke plume. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
    This dataset updates: Never
  • Time Period of the Dataset [?]: August 06, 2015-August 06, 2015 ... More
    Modified [?]: 17 January 2017
    Dataset Added on HDX [?]: 8 November 2016
    African Development Bank, Bank Operations, 1967 January - 2012 December
    200+ Downloads
    This dataset updates: Never
  • Time Period of the Dataset [?]: May 01, 2010-May 31, 2010 ... More
    Modified [?]: 16 January 2017
    Dataset Added on HDX [?]: 16 January 2017
    The data coming from the census 2010 - used to develop this publication of infographics on population characteristics on each of Indonesia’s thirty-three provinces. The book is the result of cooperation between with BNPB and BPS and the United Nations agencies UNOCHA, UNFPA, WFP, and UNDP. UNFPA provided technical assistance in the preparation of the basic population indicators such as sex ratio, population density, main livelihood, and levels of literacy. In addition, this book also displays information regarding dependency ratio, fertility rates, life expectancy, and infant mortality rates included in the Population Projection 2010-2035. The results can be seen in this link: http://reliefweb.int/report/indonesia/indonesia-province-infographic-book-27-nov-2014 The datasets can also accessible in here: http://dibi.bnpb.go.id/profil-wilayah/11/aceh
    400+ Downloads
    This dataset updates: Never