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  • About ACLED
    • About Us
      • Our Team
      • Careers
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      • Annual Report
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    • Contact
      • Reach Out
      • Subscribe
  • Data
    • Data Export Tool
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    • API Guide
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    • Quick Guide to ACLED Data
    • Resource Library
    • Knowledge Base
    • API Guide
    • ACLED in the Classroom
  • Early Warning & Forecasting Tools
    • Early Warning Dashboard
    • CAST Prediction Tool
  • Regions
    • Africa
    • – Horn of Africa
    • Asia-Pacific
    • Europe & Central Asia
    • Latin America & the Caribbean
    • Middle East
    • United States & Canada
  • Analysis
    • Analysis Outputs
      • All Analysis
      • Regional Overviews
      • Infographics
      • ACLED Conflict Index
      • ACLED Year in Review: 2022
      • ACLED Conflict Watchlist: 2023
    • Themes & Special Series
      • Election Watch Series
      • Actor Profile Series
      • Political Violence Targeting Local Officials
      • Political Violence Targeting Women
      • In Focus: Horn of Africa
  • Special Projects
    • Local Observatories
    • Ukraine Conflict Monitor

Daily Archives: 22 March 2018

Inside Houthis’ Sa’dah Stronghold

By Braden Fuller22 March 2018
Historically the home to a powerful Zaydi dynasty and more recently the birthplace of the…
Read more

Pro-Government Militia Autonomy on the Battlefield in Syria

By Bassam Kassoumeh22 March 2018
The presence of pro-government militias during civil wars has been a prominent feature in armed…
Read more

The Armed Conflict Location & Event Data Project (ACLED) is a disaggregated data collection, analysis, and crisis mapping project.

ACLED is the highest quality and most widely used real-time data and analysis source on political violence and protest around the world. Practitioners, researchers, journalists, and governments depend on ACLED for the latest reliable information on current conflict and disorder patterns.

ACLED is a registered non-profit organization with 501(c)(3) status in the United States.

Please contact [email protected] with comments or queries regarding the ACLED dataset.







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