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  • 1800+ Downloads
    Updated September 25, 2019 | Dataset date: Jan 1, 2016-Aug 31, 2019
    This dataset updates: Every month
    This dashboard provides aggregated global data on the safety & security incidents affecting NGOs in those countries covered by INSO*. It is intended to improve the visibility of macro-trends in humanitarian safety in order to raise awareness, inform research and strengthen operational practise. All data is sourced from INSO and assumed correct at the time of publishing. Please read below for advanced definitions & meanings. The information contained in this dashboard may be cited or reproduced only with credit to INSO.
  • 300+ Downloads
    Updated July 25, 2019 | Dataset date: Jul 25, 2019
    This dataset updates: Every year
    State of Palestine - Israeli Firing Zones (Closed Military Areas) in the West Bank
  • 30+ Downloads
    Updated July 4, 2019 | Dataset date: Jan 1, 2010-Dec 31, 2017
    This dataset updates: As needed
    This dataset provides verified global data on aid worker security incidents from 2010 to 2017.
  • 700+ Downloads
    Updated October 9, 2018 | Dataset date: Jan 1, 2017-Dec 31, 2017
    This dataset updates: Every year
    Attacks on educational staff and facilities in 2017. This dataset contains agency- and publicly-reported data for events in which affected the provision of education. Categorized by country.
  • 200+ Downloads
    Updated September 11, 2018 | Dataset date: Dec 1, 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.
  • 100+ Downloads
    Updated August 15, 2018 | Dataset date: Jan 1, 2011
    This dataset updates: Every year
    Military expenditure Syria 2003-2011 (worldbank) Table of military expenditure consolidated by data.worldbank.org
  • 200+ Downloads
    Updated August 15, 2018 | Dataset date: Jan 1, 2006
    This dataset updates: Every year
    Jordan Valley Military Buffer Zone in the West Bank, border between West Bank and Jordan.
  • 1900+ Downloads
    Updated October 12, 2017 | Dataset date: Nov 1, 1990-Dec 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/
  • 100+ Downloads
    Updated April 12, 2016 | Dataset date: Apr 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)
  • 200+ Downloads
    Updated December 8, 2015 | Dataset date: Oct 31, 2014-Jul 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
  • 200+ Downloads
    Updated November 24, 2015 | Dataset date: Feb 1, 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 November 24, 2015 | Dataset date: Feb 1, 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
  • 200+ Downloads
    Updated November 24, 2015 | Dataset date: Feb 1, 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
  • 200+ Downloads
    Updated November 24, 2015 | Dataset date: Feb 1, 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
  • 200+ Downloads
    Updated November 24, 2015 | Dataset date: Jan 1, 1979-Dec 31, 2014
    This dataset updates: Every six months
    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 fatailites and injuries as well as the alleged cause of the incident, depending on available information.
  • 400+ Downloads
    Updated November 24, 2015 | Dataset date: Nov 3, 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.
  • Updated October 15, 2015 | Dataset date: Jul 1, 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)
  • Updated October 15, 2015 | Dataset date: Jun 1, 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)
  • Updated October 15, 2015 | Dataset date: Feb 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 October 15, 2015 | Dataset date: Oct 1, 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 October 15, 2015 | Dataset date: Jul 1, 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).
  • Updated October 15, 2015 | Dataset date: Apr 1, 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 October 15, 2015 | Dataset date: Jan 1, 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 October 15, 2015 | Dataset date: Oct 1, 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 October 15, 2015 | Dataset date: Jul 1, 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)