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  • 400+ Downloads
    Updated 3 June 2021 | Dataset date: January 01, 2006-January 01, 2006
    This dataset updates: Never
    Jordan Valley Military Buffer Zone in the West Bank, border between West Bank and Jordan.
  • 400+ Downloads
    Updated 10 June 2020 | Dataset date: January 01, 1979-December 31, 2014
    This dataset updates: Never
    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 500 incidents occurred from 1979 onwards and it is periodically updated. The UEMS Database provides details on the location, the number of fatalities and injuries as well as the alleged cause of the incident, depending on available information.
  • 300+ Downloads
    Updated 11 September 2018 | Dataset date: December 01, 2014-December 01, 2014
    This dataset updates: Never
    Continual assessment of issues directly affecting community safety and security is critical to effective evidence based programming, informed decision making and measuring the impact of related programmatic interventions: it enables a better understanding of what works and doesn’t work at the community level. With this in mind district level assessments map out and provide a better understanding of issues that affect targeted communities across the Somali regions. By using key indicators for selected thematic areas, this report provides an assessment on the state of conflict, governance, justice as well as safety and security in the Western Zone of Mogadishu.
  • 400+ Downloads
    Updated 8 December 2015 | Dataset date: October 31, 2014-July 31, 2015
    This dataset updates: Never
    Maisha is VoicesAfrica’s online pan Africa study on lifestyle and viewpoints on various aspects of life. The research report covers the following information areas: Income and expenditure • If earn a personal income • Share of wallet • Whether overall expenditure has gone up, down, or remained the same compared to the previous year Values • Determinants of well being • Aspects that have made life better/worse • Threats to self and country Role models • Most admired personality • Part of the world/Africa that offers greatest inspiration and hope Africa unity • If would support the integration of all African countries Technology • Devices used • Device that has made life better/worse • Device that has had greatest influence in life Attitudes • Response to statements on politics, insecurity, family, religion, sports, patriotism, economy, corruption, health, relationships, among others
  • 300+ Downloads
    Updated 24 November 2015 | Dataset date: February 01, 2015-February 01, 2015
    This dataset updates: Never
    As part of its continual assessment of issues directly affecting community security and safety, OCVP conducted an extensive collection of primary data in the SHEIKH District of the Sahil region of Somaliland. Further details @ http://www.ocvp.org/ocvp5/index.php/publications/dcsa/39-sheikh-district-conflict-and-security-assessment-report-2015
  • 400+ Downloads
    Updated 24 November 2015 | Dataset date: February 01, 2015-February 01, 2015
    This dataset updates: Never
    As part of its continual assessment of issues directly affecting community security and safety, OCVP conducted an extensive collection of primary data in the GAROWE district of Nugal region in Puntland. Further details at http://www.ocvp.org/ocvp5/index.php/publications/dcsa/40-garowe-district-conflict-and-security-assessment-report-2015
  • 300+ Downloads
    Updated 24 November 2015 | Dataset date: February 01, 2015-February 01, 2015
    This dataset updates: Never
    As part of the continual assessments of issues affecting community security and safety, OCVP conducted extensive primary data collection in Jowhar district. Further details @ http://www.ocvp.org/ocvp5/index.php/publications/dcsa/41-jowhar-district-conflict-and-security-assessment-report-2015
  • 300+ Downloads
    Updated 24 November 2015 | Dataset date: February 01, 2015-February 01, 2015
    This dataset updates: Never
    As part of its continual assessment of issues directly affecting community security and safety, OCVP conducted an extensive collection of primary data in the BERBERA District- the regional administration of the Sahil region of Somaliland. Further details @ http://www.ocvp.org/ocvp5/index.php/publications/dcsa/51-berbera-district-conflict-and-security-assessment-report-2015
  • 20+ Downloads
    Updated 15 October 2015 | Dataset date: July 01, 2015-July 01, 2015
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for Southern Africa. It was last updated on August 19, 2015. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: SA201304_ML1 Most likely food security outcome for July-September 2015 SA201304_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 15 October 2015 | Dataset date: June 01, 2015-June 01, 2015
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for Southern Africa. It was last updated on June 01, 2015. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: southernafrica201304_ML1 Most likely food security outcome for April-June 2015 southernafrica201304_ML2 Most likely food security outcome for July-September 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 15 October 2015 | Dataset date: February 10, 2015-February 10, 2015
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for Southern Africa. It was last updated on February 10, 2015. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: southernafrica201304_ML1 Most likely food security outcome for January-March 2015 southernafrica201304_ML2 Most likely food security outcome for April-June 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).
  • Updated 15 October 2015 | Dataset date: October 01, 2014-October 01, 2014
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for Southern Africa. It was last updated on November 13, 2014. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: southernafrica201304_ML1 Most likely food security outcome for October-December 2014 southernafrica201304_ML2 Most likely food security outcome for January-March 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 15 October 2015 | Dataset date: July 01, 2014-July 01, 2014
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for Southern Africa. It was last updated on September 26, 2014. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: southernafrica201307_ML1 Most likely food security outcome for July-September 2014 southernafrica201407_ML2 Most likely food security outcome for October-December 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).
  • 10+ Downloads
    Updated 15 October 2015 | Dataset date: April 01, 2014-April 01, 2014
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for Southern Africa. It was last updated on July 17, 2014. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: southernafrica201304_ML1 Most likely food security outcome for April-June 2014 southernafrica201304_ML2 Most likely food security outcome for July-September 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).
  • 10+ Downloads
    Updated 15 October 2015 | Dataset date: January 01, 2014-January 01, 2014
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for Southern Africa. It was last updated on January 19, 2014. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: southernafrica201401_ML1 Most likely food security outcome for January-March 2014 southernafrica201401_ML2 Most likely food security outcome for April-June 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)
  • 30+ Downloads
    Updated 15 October 2015 | Dataset date: October 01, 2015-October 01, 2015
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for Southern Africa. It was last updated on February 05, 2016. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: SA201304_ML1 Most likely food security outcome for October-December 2015 SA201304_ML2 Most likely food security outcome for January-March 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).
  • Updated 15 October 2015 | Dataset date: July 01, 2013-July 01, 2013
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for Southern Africa. It was last updated on July 14, 2013. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: southernafrica201307_ML1 Most likely food security outcome for July-September 2013 southernafrica201307_ML2 Most likely food security outcome for October-December 2013 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)
  • 20+ Downloads
    Updated 15 October 2015 | Dataset date: June 01, 2013-June 01, 2013
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for Southern Africa. It was last updated on June 14, 2013. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: southernafrica201304_ML1 Most likely food security outcome for April-June 2013 southernafrica201304_ML2 Most likely food security outcome for July-September 2013 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 15 October 2015 | Dataset date: January 01, 2013-January 01, 2013
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for Southern Africa. It was last updated on January 14, 2013. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: southernafrica201304_ML1 Most likely food security outcome for January-March 2013 southernafrica201304_ML2 Most likely food security outcome for April-June 2013 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)
  • 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: easternafrica201507_ML1 Most likely food security outcome for July-September 2015 easternafrica201507_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)
  • 20+ Downloads
    Updated 14 October 2015 | Dataset date: June 30, 2015-June 30, 2015
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on June 30, 2015. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: eastafrica201304_ML1 Most likely food security outcome for April-June 2015 eastafrica201304_ML2 Most likely food security outcome for July-September 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)
  • 20+ Downloads
    Updated 14 October 2015 | Dataset date: April 03, 2015-April 03, 2015
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on April 03, 2015. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: eastafrica201304_ML1 Most likely food security outcome for January-March 2015 eastafrica201304_ML2 Most likely food security outcome for April-June 2015 Where xx is one of the region codes listed above. 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)
  • 30+ Downloads
    Updated 14 October 2015 | Dataset date: October 01, 2014-October 01, 2014
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on December 31, 2014. 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 October-December 2014 EA201304_ML2 Most likely food security outcome for January-March 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)
  • 20+ Downloads
    Updated 14 October 2015 | Dataset date: July 01, 2014-July 01, 2014
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on September 26, 2014. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: eastafrica201304_ML1 Most likely food security outcome for July-September 2014 eastafrica201304_ML2 Most likely food security outcome for October-December 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)
  • 20+ Downloads
    Updated 14 October 2015 | Dataset date: July 17, 2014-July 17, 2014
    This dataset updates: Never
    This Archive contains shapefiles for FEWS NET Food Security Outlook for East Africa. It was last updated on July 17, 2014. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: eastafrica201304_ML1 Most likely food security outcome for April-June 2014 eastafrica201304_ML2 Most likely food security outcome for July-September 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)