ACLED has released a new update of the recent unrest in Burundi. This eleventh update covering events from 26 April to 29 August 2015 can be found here. The real-time data draw primarily on crowd-sourced information available from 2015Burundi as well as from ACLED’s weekly real-time conflict data release.

This significant update includes back-coding of events that occurred more than a week ago – information about which was only recently made available. Delays are often frequent when drawing on sources from the local-level. For more information on delayed data, please refer to a recent post on the reporting lags and the timeliness of real-time data. Hence, though levels of violence in Burundi were significantly low last week (23 August – 29 August 2015) with only 2 events reported, it is likely that reports of higher levels of violence will be made available in time, which will subsequently be included in future data release updates.

Violence against civilians remains the most common pattern of violence in the conflict environment in Burundi, with on average nearly 30 instances of civilian targeting per month since the beginning of the unrest. The majority of victims are alleged protesters against Pierre Nkurunziza’s third bid for president. While there were on average nearly 100 protests and riots per month between late April and the end of June, their levels have significantly decreased to an average of less than 9 events per month in July and August.

For more on Burundi local data coverage and analysis, see the prior posts on this topic.

 

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Update — Burundi Local Data on Recent Unrest (26 Apr – 29 Aug 2015)
ACLED Admin
ACLED Admin
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.
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