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  • 10+ Downloads
    Updated 5 October 2021 | Dataset date: June 16, 2021-August 04, 2021
    This dataset updates: Every year
    REACH initiative, in coordination with the Camp Coordination and Camp Management (CCCM) Cluster, conducted the XV round of Camp Profiling and the eighth round of Movement Intentions in IDP camps. Both assessments seek to understand the multi-sectoral needs of IDPs in camps, their movement intentions in the short and long term, and the barriers that IDPs face to return to their area of origin (AoO).
  • 10+ Downloads
    Updated 23 August 2021 | Dataset date: January 01, 2015-May 31, 2021
    This dataset updates: Every year
    Subcircuit where there is evidence of total case in Quito by crime (assault, robbery, burglary, theft, vehicle theft), period 2015 - 2021
  • Updated 23 August 2021 | Dataset date: January 01, 2015-May 31, 2021
    This dataset updates: Every year
    Subcircuit where signs of vehicle robbery have been found in Quito, period 2015 - 2021
  • Updated 23 August 2021 | Dataset date: January 01, 2015-May 31, 2021
    This dataset updates: Every year
    Subcircuit where signs of robbery have been found in Quito, period 2015 - 2021
  • Updated 23 August 2021 | Dataset date: January 01, 2015-May 31, 2021
    This dataset updates: Every year
    Subcircuit where signs of burglary have been found in Quito, period 2015 - 2021
  • Updated 23 August 2021 | Dataset date: January 01, 2015-May 31, 2021
    This dataset updates: Every year
    Subcircuit where signs of assault have been found in Quito, period 2018 - 2021
  • 10+ Downloads
    Updated 23 August 2021 | Dataset date: January 01, 2018-May 31, 2021
    This dataset updates: Every year
    Parishes, Census sectors, SubCircuit where signs of microtraffic have been found in Quito, period 2018 - 2021
  • 10+ Downloads
    Updated 23 August 2021 | Dataset date: January 01, 2018-December 31, 2020
    This dataset updates: Every year
    Statistics of crimes committed in Santa Cruz - Puerto Ayora circuit, period 2018-2020
  • Updated 28 July 2021 | Dataset date: January 01, 1979-December 31, 2019
    This data is by request only
    The UEMS Database gathers information on accidental explosions of abandoned, damaged, improperly stored, or properly stored stockpiles of ammunition and explosives at munitions sites. It documents more than 600 incidents occurred from 1979 onwards and it is periodically updated. The UEMS Database provides details on the location, the number of casualties (fatalities and injuries) as well as the alleged cause of the incident, depending on available information.
  • 30+ Downloads
    Updated 1 July 2021 | Dataset date: January 01, 2006-June 09, 2021
    This dataset updates: As needed
    This dataset organizes data on closures, crossing points and buffer zones.
  • 400+ Downloads
    Updated 27 May 2021 | Dataset date: July 25, 2019-July 25, 2019
    This dataset updates: As needed
    State of Palestine - Israeli Firing Zones (Closed Military Areas) in the West Bank
  • 200+ Downloads
    Updated 30 October 2020 | Dataset date: October 31, 2020-October 31, 2020
    This dataset updates: Every six months
    Eastern and Southern Africa Risk Analysis based on Inform, FEWSNET, OCHA, UNICEF and others
  • 30+ Downloads
    Updated 27 January 2020 | Dataset date: August 18, 2019-August 18, 2019
    This dataset updates: As needed
    Accessibility information by WFP Operation/Security Units,18 August 2019. Original dataset title: Afghanistan: District Accessibility for WFP and Partners Staff as of 18 August 2019
  • 900+ Downloads
    Updated 16 January 2020 | Dataset date: November 13, 2019-November 13, 2019
    This dataset updates: Every year
    With its Global Militarisation Index (GMI), BICC is able to objectively depict worldwide militarisation for the first time. The GMI compares, for example, a country’s military expenditure with its Gross Domestic Product (GDP) and its health expenditure. It contrasts the total number of military and paramilitary forces in a country with the number of physicians. Finally, it studies the number of heavy weapons available to a country’s armed forces. These and other indicators are used to determine a country’s ranking, which in turn makes it possible to measure the respective level of militarisation in comparison to other countries. The latest GMI of 2018 covers 155 countries and is based on the latest available figures (in most cases data for 2017). Israel, Singapore, Armenia, Cyprus, South Korea, Russia, Greece, Jordan, Brunei and Belarus are the top 10 worldwide. These countries allocate particularly high levels of resources to the military in comparison to other areas of society. See project website for more information
  • 3000+ Downloads
    Updated 10 November 2019 | Dataset date: November 01, 1990-December 31, 2012
    This dataset updates: Every year
    Drawing from UN archival records, the IPI Peacekeeping Database presents the first publicly available database of total uniformed personnel contributions of each contributing country by month, by type (troop, police, or expert/observer) and by mission, from November 1990 to 2012. See Trends in Uniformed Contributions to UN Peacekeeping Operations: A New Dataset, 1991-2012 (Chris Perry and Adam C. Smith) for a full description of the database and some initial findings from the data regarding overall trends in uniformed contributions to UN peacekeeping. For more information, please visit: http://www.providingforpeacekeeping.org/contributions/
  • 200+ Downloads
    Updated 15 August 2018 | Dataset date: January 01, 2011-January 01, 2011
    This dataset updates: Every year
    Military expenditure Syria 2003-2011 (worldbank) Table of military expenditure consolidated by data.worldbank.org
  • 200+ Downloads
    Updated 12 April 2016 | Dataset date: April 12, 2016-April 12, 2016
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on April 12, 2016. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: EA201304_ML1 Most likely food security outcome for January-March 2016 EA201304_ML2 Most likely food security outcome for April-June 2016 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
  • 700+ Downloads
    Updated 24 November 2015 | Dataset date: November 03, 2014-November 03, 2014
    This dataset updates: Every year
    Data sourced from official Government of Ethiopia publication. More information about the data is available on the metadata of the attached datasheet.
  • 40+ Downloads
    Updated 14 October 2015 | Dataset date: September 30, 2015-September 30, 2015
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on September 30, 2015. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: westafrica201304_ML1 Most likely food security outcome for July-September 2015 westafrica201304_ML2 Most likely food security outcome for October-December 2015 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)
  • 10+ Downloads
    Updated 14 October 2015 | Dataset date: October 01, 2013-October 01, 2013
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for West Africa. It was last updated on November 14, 2013. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: xx201304_ML1 Most likely food security outcome for October-December 2013 xx201304_ML2 Most likely food security outcome for January-March 2014 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: 66 = water 88 = parks, forests, reserves 99 = missing data (usually urban centers)