To answer the question of how many people die in conflicts today, and how this has changed over time, we can turn to a number of different datasets.
Here we show the world conflict death rate since 1989 according to five sources.
The ‘UCDP all’ series is an aggregation of the deaths recorded in each of the three categories of conflict used by Uppsala Conflict Data Program: state-based conflict, non-state conflict and one-sided violence. (We show the data for these categories separately here).
We’ve summarised more information about the data sources and how we handled them to produce the chart above in a document, World conflict deaths since 1989: Notes on five sources.
You see in the chart that there are certainly similarities across the different sources. Overall they show a decline in conflict deaths into the 2000s, followed by an increase in the 2010s.1
But there are also large differences. Most noticeably, there is a large jump in 1994 – marking the Rwandan genocide – which is present in some series, but absent from others.
If you look closely, you’ll see that there are large relative differences between the series over the entire period as well, though they are understated by the 1994 peak. If you hover over the datapoints, you can see the exact figures: the highest figure for a given year is typically well more than double the lowest.
Discrepancies between different sources of conflict deaths data are partly to do with the differences in how the underlying source information – for instance newswires, death registers, government or NGO reports, or indeed other conflict databases – are selected and interpreted.
But they also reflect conceptual differences in terms of which deaths are and aren’t included in the source’s definition.
Below we relate some of the differences visible in the chart above in terms of some key conceptual differences lying along three dimensions: Who, How and What.
Who: civillian vs military deaths
The Correlates of War series aims to include only deaths of military personnel, whereas the other sources capture – at least to some extent – civilian deaths too. As we would expect then, the Correlates of War figures are generally lower than the others.
How: direct vs indirect deaths
In addition to those deaths caused directly by violence – for instance those from gunshot or explosions – a significant proportion of lives lost in conflict are indirect: due to disease, starvation or exposure. This is particularly true where conflicts lead to famine or outbreaks of disease among the civilian population. But historically, such indirect deaths were also a major cause of military fatalities.2
The UCDP and IHME data include only direct deaths. The Correlates of War series includes military personnel that died from diseases ‘contracted in the war theatre’. The Conflict Catalog series (running to 2000 only) tries to include indirect deaths of both the military and civilian populations. Peter Brecke, the author of the dataset, however acknowledges that the degree to which this is in fact achieved varies considerably across conflicts.3
While indirect deaths represent a substantial proportion of the social costs of conflict, there is a conceptual difficulty in drawing a consistent boundary between indirect deaths attributable to the conflict and those due to other factors. For instance, whilst famines are often triggered by conflicts, many factors contribute to their onset and severity, such as the level of sanitation or the transportation infrastructure present.
Brecke does not attempt to provide a clear-cut definition, and this conceptual boundary has been largely dictated by the available primary sources he used in each estimate. Nevertheless, as we would expect, the death rates reported in the Conflict Catalog do come out the highest.
What: state involvement and one-sided violence
Across the various sources there three broad kinds of violent event distinguished: state-based conflict, non-state conflict and one-sided violence. The kind of event depends on the type of actors involved. State-based conflict is that involving at least one state-actor, and includes conflicts between states (“inter-state” conflicts) and those between a state and non-state actor (“extra-state” conflicts), such as civil wars or colonial wars.
Non-state actors are those that demonstrate a degree of coordinated military organisation but whose identity falls short of statehood. Non-state conflicts are those between two or more non-state actors, with no state involvement.
‘One-sided violence’ on the other hand is where one organized actor (either a state or non-state group) attacks people that do not have any organized military capability to defend themselves, as in the case of genocide or ‘politicide‘.
The UCDP state-based and Correlates of War series do not include such events. It is for this reason that they do not show the jump in 1994 that marks the Rwandan genocide.
Here we picture the definitions used in the various sources across these three dimensions.
There are also efforts to collect data specifically on the number of people dying from acts of terrorism – this is discussed in our entry on Terrorism.
How does the concept of terrorism relate to the concepts of conflict used in the data shown above? To what extent are terrorism deaths included in this data?
In general, definitions of terrorism include only violent episodes that are carried out by non-state actors, and definitions often emphasise events where civilians or to military personnel who are unarmed or not on duty are the target.4
As such, definitions of conflict deaths that include both civilian deaths and deaths caused by non-state actors will include a large fraction of the deaths normally attributed to terrorism. That is true for instance of the ‘UCDP all’ series in the charts shown above. This dataset, for example, includes direct deaths occurring in the September 11 attacks in the United States, and in the Taliban insurgency following the 2001 war in Afghanistan.
There are however some situations where deaths that would fall under typical definitions of terrorism might not get included even in the UCDP’s broad definition of conflict. In particular, as mentioned above, the UCDP classification system has a requirement that non-state actors must have a certain degree of institutional organisation for an event to be included in its dataset. Deaths caused by attackers falling below this threshold of organisation – such as in ’lone wolf’ attacks perpetrated by ideologically-motivated individuals – would not be included in the UCDP data but might fit under common definitions of terrorism.
Because deaths due to conflict and terrorism can be attributed and grouped into ’events’ or ‘episodes’ in different ways in different datasets, it is difficult to make direct comparisons and know exactly the extent to which deaths included in one dataset are included or excluded in another. But because the larger events that would fall under typical definitions of terrorism – for instance those that are conducted by well-organised groups or are part of long-running insurgencies – will also be included in broad definitions of conflict like those used by UCDP, the latter are likely to include the majority of deaths commonly attributed to terrorism.