ACLED Conflict Data for Africa 1997-2016

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  • This dataset updates: Every year

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Source ACLED
Contributor
Date of Dataset Jan 01, 2017
Expected Update Frequency Every year
Location
Visibility
Public
License
Methodology

This page contains information about how the ACLED team collects, cleans, reviews and checks event data, with a focus on what makes ACLED unique and compatible with other data. The process of ACLED coding assures that it is accurate, comprehensive, transparent and regularly updated. ACLED-Africa data is available from 1997 and into real time. ACLED-Asia produces publicly available real-time data and continues to backdate for all states. Data will be posted as it is complete. For more information about its methodology, please consult ACLED's Methodology page.

Caveats / Comments

Most data analysis can be carried out using the standard Excel file. In this file, both Actor 1 and Actor 2 appear in the same row, with each event constituting a single unit of analysis. However, in order to analyse conflict actors and actor types, a monadic file is more useful. This is a file in which Actor 1 and Actor 2 appear in a single column, with each actor’s activity constituting a single unit of analysis. This allows users to analyse different trends and patterns, like the proportion of events in which a particular actor or actor type is involved; or the geographic patterns of activity of specific actors. Creating a monadic file involves duplicating the events so that each actor is represented as participating in a single event (almost doubling the number of events in the dataset). For this reason, monadic files are not useful for analysis of the number of events or overall patterns of violence in a country, etc. They should be used for analysis of actors, actor types and patterns in their activity. The dyadic actor file allows analysis on specific actors within the dataset. Actor 1 and Actor 2 are each assigned a unique actor ID and the actor dyad column represents the two actors involved in each event. This allows users to analyse the number of events; number of fatalities; type of event; or geographic location of events in which two discrete actors interact, for example, events involving Boko Haram and the Military Forces of Nigeria.

Tags
war