Data [18042]
  • Updated November 24, 2015 | Dataset date: Mar 17, 2009-Mar 18, 2013
    The Dataset shows the National Trends in KCSE for Candidates Mean Grade by Sex 2009-2013 for the period of 2009 – 2013 as reported by the Kenya National Bureau of statistics in the KNBS Economic Survey 2014
    400+ Downloads
    This dataset updates: Never
  • Updated November 24, 2015 | Dataset date: Feb 24, 2009-Dec 20, 2013
    The Dataset shows the Student Enrollment by Sex in Technical Institutions for the period of 2009 – 2013 as reported by the Kenya National Bureau of statistics in the KNBS Economic Survey 2014
    600+ Downloads
    This dataset updates: Never
  • Updated November 24, 2015 | Dataset date: Aug 15, 2007-Aug 13, 2013
    The Student Enrollment in Public Universities: 2007-08 to 2012-13 as reported by the Kenya National Bureau of statistics in the KNBS Economic Survey report of 2014
    1000+ Downloads
    This dataset updates: Never
  • This dataset shows the Poverty rate, poverty gap, poverty density and the percentage of poor housing at Location level in Kenya in 1999. This dataset was originally collected by Kenya National Bureau of Statistics
    300+ Downloads
    This dataset updates: Never
  • Updated November 24, 2015 | Dataset date: Jan 1, 2009
    Household GPS points - Number of inhabitants living in HH Geographic levels: Enumeration Area, Area Council, Province Domain: Household GPS points Theme: Households GPS points (2009) Summary: For more information about this indicator click on the metadata link below:. Know more: http://www.spc.int/prism/nada/index.php/catalog/57
    400+ Downloads
    This dataset updates: Never
  • Updated November 24, 2015 | Dataset date: Feb 25, 2015
    Information on projects that are ongoing or completed by members of the Consortium working in the three regions in Somalia: South Central, Puntland and Somaliland
    1700+ Downloads
    This dataset updates: Never
  • Updated November 24, 2015 | Dataset date: Jul 1, 2015
    Guinea Capitale of Région, District and Sub District
    100+ Downloads
    This dataset updates: Never
  • This excel file contains data on humanitarian cash transfer programmes between 2009 and 2013. It has been prepared by the Global Humanitarian Assistance (GHA) programme using data from the United Nations Office for the Coordination of Humanitarian Affairs (OCHA)'s Financial Tracking Service (FTS): http://fts.unocha.org/. The GHA programme offers a free, friendly, helpdesk service for anyone needing help accessing and interpreting our data or methodologies. Please do get in touch with us if you think we can help: gha@devinit.org. For more info on the work that we do, please visit our website: http://www.globalhumanitarianassistance.org/
    700+ Downloads
    This dataset updates: Every year
  • Updated November 24, 2015 | Dataset date: Nov 7, 2014
    Humanitarian partners working in response to TDPs in KP/FATA
    1100+ Downloads
    This dataset updates: Every three months
  • Updated November 24, 2015 | Dataset date: Dec 31, 2014
    Afghan refugees in Pakistan in 2014
    200+ Downloads
    This dataset updates: Every year
  • Updated November 24, 2015 | Dataset date: Feb 1, 2015
    The data set contains the results of the 2014 Nutrition SMART Survey and the 2015 projections of the caseload for Mali
    600+ Downloads
    This dataset updates: Every three months
  • Updated November 24, 2015 | Dataset date: Jan 15, 2015
    Response assistance matrix for Typhoon Hagupit as of 15 Jan 2015
    200+ Downloads
    This dataset updates: Never
  • Data as of March 8, 2013. These boundary lines were derived from the World Vector Shoreline dataset and match up with the 2013 detailed LSIB polygons. The 1:250,000 scale World Vector Shoreline (WVS) coastline data is generally shifted by several hundred meters to over a km. To simplify the polygons, the ArcGIS Simplify Polygon tool was used, using the Bend Simplify algorithm with a maximum allowable offset of 3 miles. Topology was then corrected for any errors produced by the simplification process. For convenience, the dataset is broken out into regions: (1) Africa, (2) Asia and Russia, (3) Europe and Southwest Asia, (4) North America, (5) Oceania, and (6) South America. In the zip file, there is also a global dataset (approximately 24 MBs) that includes all the data. There are no restrictions on use of this public domain data. This dataset will be updated as needed and is current as of March 08, 2013.
    100+ Downloads
    This dataset updates: Never
  • Updated November 24, 2015 | Dataset date: Jan 28, 2015
    Aggregated data on Nutrition (GAM & SAM) for Somalia and South Sudan for 2013 - 2014
    300+ Downloads
    This dataset updates: Every three months
  • 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.
    1500+ Downloads
    This dataset updates: Every two weeks
  • Updated November 24, 2015 | Dataset date: Jan 1, 2006-Jan 1, 2012
    City and municipal-level poverty estimates for 2012, 2009, and 2006 2012 City and Municipal-Level Small Area Poverty Estimates Source: Philippine Statistics Authority, through a national government funded project on the generation of the 2012 small area estimates on poverty http://www.nscb.gov.ph/announce/2014/PSA-NSCB_2012MunCity_Pov.asp Note: Region V, Sorsogon, Bacon is in 2006 and 2009 data but not the 2012 data. According to Wikipedia, Sorgoson City was formed by merging the Bacon and Sorsogon towns. City and Municipal-Level Poverty Estimates; 2006 and 2009 Source: NSCB/World Bank/AusAID Project on the Generation of the 2006 and 2009 City and Municipal Level Poverty Estimates http://www.nscb.gov.ph/poverty/dataCharts.asp PDF download Note: The 2009 city and municipal level poverty estimates for ARMM were revised to reflect on the movement/creation of municipalities and barangays which were not considered in the preliminary estimation of the 2009 city and municipal level poverty estimates published in the NSCB website last 03 August 2013. Column Header / Description Prelim_*year / Preliminary (indicated by "TRUE" or "FALSE")* Pov_*year / Poverty Incidence* SE_*year / Standard Error* CoV_*year / Coefficient of Variation* Con_90lower_*year / 90% Confidence Interval Lower Limit* Con_90upper_*year / 90% Confidence Interval Upper Limit*
    500+ Downloads
    This dataset updates: Never
  • Updated November 24, 2015 | Dataset date: Dec 23, 2013-Jan 30, 2015
    The aim of the Displaced count monitor is to keep the Inter Cluster IM Group abreast with the movement of the displaced population and their returns. The data is the best availableat the moment. The IDP/Returnee figures are based on reports from partners on ground. Majority of them have not been verified. Verification of the figures is a work in progress. The field named 'Count Verification status' gives information on the status of verification for each location. 1. Verified - Actual counting done by partners 2. Assessed but unverified - Location visited and figure estimated by a partner figure. No counting done. 3. Reported but unverified - Reported by South Sudan Relief and Rehabilitation Commission (SSRRC) and similar partners but no assessment or counting done. The data can also be improved with better accuracy of site coordinates. Kindly share any coordinates you might have from the field and help the ICIMG improve the dataset. The Site ID is an arbitrary unique number given to a location identified to have IDPs. The numbers are assigned randomly starting from 1. The site ID does not change and can only be used once. If a site is closed or if all people move from the site, the number is not reassigned to another site. To present a better picture of the locational settings of those displaced, IOM is supporting OCHA to categorize the locations as in the field named 'Type of location'. So far, the categories are 1. IDPs in UNMISS PoC area 2. IDPs Spontaneous settlement 3. IDPs Collective center 4. IDPs Integrated with host community 5. IDPs Location not categorised 6. Crisis-displaced returns 7. IDPs Integrated with host community + Crisis-displaced returns 8. IDPs Location not categorised + Crisis-displaced returns 9. Affected host community 10. IDPs Spontaneous settlement + Affected host community 11. IDPs Location not categorised + Affected host community 12. No caseload at the moment
    500+ Downloads
    This dataset updates: Never
  • Updated November 24, 2015 | Dataset date: Jun 30, 2014
    The data highlights the funding status of UNICEF HAC appeals for countries in Eastern and Southern Africa Region.
    200+ Downloads
    This dataset updates: Never
  • Updated November 24, 2015 | Dataset date: Jan 1, 2012
    List of crowdmap data categories scraped from Internews 2012 report "Mapping the maps: A Meta-Level Analysis of Ushahidi & Crowdmap" https://innovation.internews.org/sites/default/files/research/InternewsWPCrowdGlobe_Web.pdf
    300+ Downloads
    This dataset updates: Never
  • Updated November 24, 2015 | Dataset date: Jan 1, 2005-Dec 31, 2013
    Colección de indicadores (directos y proxy) sobre vulnerabilidades, amenazas y capacidades de respuesta a principales riesgos por desastres naturales o emergencias complejas que afectan a niñas, niños y adolescentes.
    300+ Downloads
    This dataset updates: Never
  • Updated November 24, 2015 | Dataset date: Apr 1, 2014
    The data was updated in April 2014 and is a polygon feature of health districts in Mali
    300+ Downloads
    This dataset updates: Every year
  • Updated November 24, 2015 | Dataset date: Dec 1, 2014-Sep 1, 2015
    Matrix 4W (Who What Where When) - WASH Cluster - Guinea
    1300+ Downloads
    This dataset updates: Every month
  • Updated November 24, 2015 | Dataset date: Dec 6, 2014
  • Updated November 24, 2015 | Dataset date: Jan 1, 2013-Jan 1, 2015
    Desde julio de 2013 la oficina de OCHA en Colombia estableció un marco para el monitoreo del confinamiento. Según este marco, una población se encuentra confinada cuando sufre limitaciones a su libre movilidad por un período igual o superior a una semana, y además tiene acceso limitado a tres bienes o servicios básicos, como: educación, salud, agua y saneamiento, medios de vida, entre otros.
    300+ Downloads
    This dataset updates: Every three months
  • Updated November 24, 2015 | Dataset date: Jun 1, 2015
    The data shows the statistics concerning fundamental schools in Mali
    900+ Downloads
    This dataset updates: Every year