Acled Data

Acled Data

Bringing Clarity to Crisis

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

ACLED is the highest quality, most widely used, realtime data and analysis source on political violence and protest in the developing world. Practitioners, researchers and governments depend on ACLED for the latest reliable information on current conflict and disorder patterns.

Please contact admin@acleddata.com with comments or queries regarding the ACLED dataset.

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© 2018 ACLED. All Rights Reserved. Web Design by Egg.

To download all ACLED data for the entire time period of coverage, simply click ‘export’.

To download all available ACLED data for a specific time period, simply enter a date range and click ‘export’.

Please be aware that ACLED covers over 80 countries, but the period of active coverage differs. For African states, all data are available from January 1st 1997 onwards. For other countries, more recent periods are available and the details for each country can be found here.

To download realtime and historical data for specific event types, choose in that category and leave all other categories as they are. All data for that event type will be exported.

To download realtime and historical data for specific actor type or actor, choose in that category and leave all other categories as they are. All data for that event type will be exported.

To download realtime and historical data for specific region, country or location, choose in that category and leave all other categories as they are. All data for that event type will be exported.

By default, the data are exported in a format where each row represents an single event, on a specific day and location and involving distinct actors.

A actor based file has events by single actors, meaning that events are often repeated if two actors are involved. The difference between the two file types is based on whether the data are being used to analyse patterns over time, types of violence, conflict between groups, or locations (which the normal file type is best for), or to analyse actor types or specific actors, when the “actor-based” file is best.

Many guides to, and details of, the data use and coding processes can be found on the resource pages.

Please note exported data will contain additional columns including a timestamp column which indicates when the data were last updated.

For systems that use semi-colon separated values by default you may find the compatibility mode option beneficial.

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