UCDP Non-State Conflict Codebook
Version 2.5-2014
Uppsala Conflict Data Program
Department of Peace and Conflict Research, Uppsala University
This version compiled and updated Therése Pettersson (2014)
Replacing the earlier versions by Marcus Nilsson & Therése Pettersson (2013), Therése
Pettersson (2012), Ralph Sundberg (2010) and Joakim Kreutz & Kristine Eck (2005)
Citation for the dataset:
Sundberg, Ralph, Kristine Eck and Joakim Kreutz, 2012, "Introducing the UCDP NonState Conflict Dataset", Journal of Peace Research, March 2012, 49:351-362(When appropriate) also cite this codebook. Always include the Version number inanalyses using the dataset.

Introduction
This document describes the Non-State Conflict Dataset, a project within the Uppsala
Conflict Data Program (UCDP) at the Department of Peace and Conflict Research,
Uppsala University. The UCDP Non-State conflict project has been developed withsupport from the Human Security Report Project, Simon Fraser University, in Vancouver,
Canada.
In the development of the definition of non-state conflict, the input from Kristine Eck,
Peter Wallensteen, Margareta Sollenberg, Lotta Harbom, Ralph Sundberg, Stina
Högbladh, Therése Pettersson and Johan Brosché, have been instrumental. The UCDP
non-state conflict project is also grateful for additional advice and feedback from Andrew
Mack, Zoe Nielsen, Ole Magnus Thiesen, and others.
Case-specific information about the cases of non-state conflict is available atwww.ucdp.uu.se/database. Questions regarding the definitions and the content of thedataset can be directed to therese.pettersson@pcr.uu.se.

Definition of Non-State conflict
A non-state conflict is defined by the Uppsala Conflict Data Program (UCDP) as “the useof armed force between two organized armed groups, neither of which is the governmentof a state, which results in at least 25 battle-related deaths in a year.”
The separate elements of the definition are operationalized as follows:(1) Use of armed force: the use of arms, resulting in deaths.
(1.1) Arms: any material means, e.g. manufactured weapons but also sticks,
stones, fire, water, etc.
(2) 25 deaths: a minimum of 25 battle-related deaths per year(2.1) battle-related deaths: deaths directly related to the use of armed force
between the warring groups(3) Organized groups: consists of either(3.1) formally organized groups: any non-governmental group of people having
announced a name for their group and using armed force against another similarly
formally organized group, or(3.2) informally organized groups: any group without an announced name, but
who uses armed force against another similarly organized group, where theviolent activity meets the following requirement:(3.2.a.) there is a clear pattern of violent incidents that are connected andin which both groups use armed force against the other(4) State: a state is(4.1) an internationally recognized sovereign government controlling a specified
territory, or(4.2) an internationally unrecognized government controlling a specified territory
whose sovereignty is not disputed by another internationally recognized sovereign
government previously controlling the same territory.
(5) Government: the party controlling the capital of the stateModifications from the 2010 version of the Non-state
Conflict Dataset(1) Level of organization
The major modification in the 2010 version of the codebook and the dataset was analteration to the operational definition of organized groups. In order to make the nonstate conflict and one-sided violence categories mutually exclusive some changes havebeen made in the definition and how it is operationally applied. Changes have also been
made so as to include conflict between very broad groups such as religious collectives.
The major changes are as follows:(1) The organizational level of warring groups has been more narrowly defined so as
to ensure that one-sided violence and non-state conflict events do not overlap.
Groups may now fight only groups within their own level of organizational
capacity, at the same time as the level of organization has been transformed fromthe dichotomous variable of 0 and 1 to contain more steps (1 to 3). This change
eliminates significant overlap between the non-state conflict and one-sided
violence categories.
(2) Organized rebel groups may no longer be coded as participants in non-state
conflicts in which their ethnic brethren partake if the levels of organization differ.
Violence by rebel groups against civilians of a differing ethnicity/identity/politicalaffiliation is coded as one-sided violence, even if the rebel group’s ethnic brethren
are at the same time involved in a non-state conflict with the rivaling group1. Inother words, a formally organized rebel group may not ‘assume’ an overarchingethnic or other identity and subsequently partake in that identity’s non-state
conflict. This is done since the level of organization between the two antagonists
is uneven and removes further overlap between one-sided violence and non-state
conflict.
(3) The dataset now contains records of what is commonly referred to as ‘communal
violence’; i.e. violence between very broad categories of identification (forinstance Hindus versus Muslims in India). This is a result of the slackening of theorganization criteria and its classification along a broader hierarchy than formallyand informally organized groups. These collectives are identified country bycountry and there can thus not exist a global conflict between Hindus or Muslims
or other such broad identity groups.
(2) Levels of organization
Organizational level 1 (formally organized groups): Rebel groups and other organizedgroups that have a high enough level of organization so as to be possible to include in the1

For instance, even if Naga tribals are attacking Kuki tribals in Northeast India and killing unarmed
civilians from the other group, the violence against civilians carried out by the Naga rebel group NSCN – K
will be coded as one-sided violence.

state-based armed conflict category. These include rebel groups with an announced name,as well as military factions (Forces of…). This level of organization captures fighting
between highly organized rebel groups.
Organizational level 2 (informally organized groups): Groups composed of supporters
and affiliates to political parties and candidates. These are commonly not groups that arepermanently organized for combat, but who at times use their organizational structures
for such purposes. In addition to supporters of political parties and candidates, includedin this category is also fighting between groups composed of supporters of otherorganizations such as the supporters of al-Ahly football team fighting against the
supporters of al-Masry football team in Egypt 2012.
Organizational level 3 (informally organized groups): Groups that share a common
identification along ethnic, clan, religious, national or tribal lines. These are not groups
that are permanently organized for combat, but who at times organize themselves alongsaid lines to engage in fighting. This level of organization captures aspects of what iscommonly referred to as ‘communal conflicts’, in that conflict stands along lines ofcommunal identity. Battle-related deaths are recorded according to section 3.2.a of thedefinition of non-state conflict.
(3) Battle-related deaths2
Some minor modifications have also been made to the way the coding records battlerelated deaths. The coding now records somewhat differing phenomena according to thelevel of organization of the fighting groups.
For formally organized groups (organizational level 1) the recording of battle-related
deaths follows the exact same criteria as in the state-based armed conflict category. i.e.
the warring groups must target representatives of the other formally organized group.
Targeting of civilians, even if those civilians are of, for example, the same ethnicity as agroup’s rivals, is coded as one-sided violence.
For informally organized groups (organizational level 2-3) the battle-related deaths
criteria is somewhat slackened. Instead of coding deaths according to the state-based
criteria the dataset records patterns of violent (lethal) interaction between informallyorganized groups, regardless of whether the targets are civilians or armed. For a non-state
conflict to be recorded within these levels of organization both parties must attack eachother.
These modifications have been made as it was obvious in the earlier versions of thedataset that significant amounts of overlap between the non-state conflict and one-sided
violence categories occurred. It was also obvious that the dynamics involved in fighting
between rebel groups and between more loosely organized groups were quite different.
The coding has thus been modified so as to correspond more closely to these dynamics.
2

For a more in-depth discussion on the definition of battle-related deaths, see
http://www.pcr.uu.se/research/ucdp/definitions/Variables in the Non-State conflict Dataset
DyadID. This variable makes it possible to follow the conflict activity between two
parties over several years, regardless of possible changes in name of the actors. Thus,
each dyadic relationship in the dataset is given a unique ID. For all non-state conflicts a
2- is added before the dyad ID to separate them from other categories of UCDP violence(i.e. 1-state-based and 3-one-sided).
Org. This variable indicates the organizational level of the warring sides. The level oforganization is determined according to the following categories:
Organizational level 1 (formally organized groups): Rebel groups and other organizedgroups that have a high enough level of organization so as to be possible to include in thestate-based armed conflict category. These include rebel groups with an announced name,as well as military factions (Forces of…). This level of organization captures fighting
between highly organized rebel groups and fatalities are recorded according to the criteria
set for battle-related deaths in the state-based conflict category.
Organizational level 2 (informally organized groups): Groups composed of supporters
and affiliates to political parties and candidates. These are commonly not groups that arepermanently organized for combat, but who at times use their organizational structures
for such purposes. In addition to supporters of political parties and candidates, includedin this category is also fighting between groups composed of supporters of otherorganizations such as the supporters of al-Ahly football team fighting against the
supporters of al-Masry football team in Egypt 2012. Battle-related deaths are recorded
according to section 3.2.a of the definition of non-state conflict.
Organizational level 3 (informally organized groups): Groups that share a common
identification along ethnic, clan, religious, national or tribal lines. These are not groups
that are permanently organized for combat, but who at times organize themselves alongsaid lines to engage in fighting. This level of organization captures aspects of what iscommonly referred to as ‘communal conflicts’, in that conflict stands along lines ofcommunal identity. Battle-related deaths are recorded according to section 3.2.a of thedefinition of non-state conflict.
SideA. The party that constitute Side A in the conflict. For each conflict the parties arelisted in alphabetical order, using the latest known names of the parties involved.
SideAID. The ID of the groups that make up Side A. These IDs are taken from the
UCDP Actor Dataset (Pettersson, 2014). For conflicts with multiple actors fighting
together a temporary coalition ID has been assigned. A list of coalition IDs can be foundbelow.
SideAComponents. For conflicts with multiple actors fighting together, the actors’
separate Actor IDs, taken from the UCDP Actor Dataset, are listed in this variable andseparated by a comma.

SideB. The party that constitute Side B in the conflict. For each conflict the parties arelisted in alphabetical order, using the latest known names of the parties involved.
SideBID. The ID of the groups that make up Side B. These IDs are taken from the UCDP
Actor Dataset (Pettersson, 2014). For conflicts with multiple actors fighting together atemporary coalition ID has been assigned. A list of coalition IDs can be found below.
SideBComponents. For conflicts with multiple actors fighting together, the actors’
separate Actor IDs, taken from the UCDP Actor Dataset, are listed in this variable andseparated by a comma.
StartDate. The first time there is a recorded event in a given dyad that results in at least
one fatality. This date is the same for all years in which the conflict has been active,
regardless of whether the conflict has been active in several episodes or not.
StartPrec. The Startdate is coded as precisely as possible. For certain conflicts we canpinpoint the start of the conflict down to a single event, taking place on a specific day.
For other conflicts, this is not possible, due to lack of precise information. The Startprec(start precision) is coded to highlight the level of certainty for the date set in the Startdate
variable.
1. Day, month and year are precisely coded; there is good information on the event.
2. Day is assigned; month and year are precisely coded. This precision score is assigned
if the first event which causes at least one fatality takes place within a period of 2-6 days.
3. Day is unknown; month (or a period of 30 days, not necessarily a calendar month) andyear are precisely coded. The day is known to be in a given period of 30 days. The date is
set to the last date of the period.
4. Month is assigned, year is precisely coded. The date is set to the last day of theassigned month.
5. Day and month are assigned, year is precisely coded. Day and month are set as
precisely as possible. For example, if an event is known to have taken place between
March and July, the date is set to 31 July with precision score 5.
StartDate2. StartDate2 gives the date, as precise as possible, when a given episode ofconflict activity reached 25 battle-related deaths.
StartPrec2. Coded according to the criteria stated for Startprec.
EpEnd. EpEnd is a dummy variable that codes whether the conflict is inactive thefollowing year and an episode of the conflict thus ends. If the conflict is inactive thefollowing year(s), this variable is coded as 1. If not, a 0 is coded.
EpEndDate. This variable is only coded in years where EpEnd has the value 1. If a
conflict year is followed by at least one year of conflict inactivity, the EpEndDate
variable lists, as precise as possible, the last date of recorded combat.

EpEndPrec. Coded according to the criteria stated for Startprec.
Year. The year of observation of the non-state conflict
Yearly Best, Low and High fatality estimates.
The general rule for UCDP’s estimation of fatalities is moderation. All incidents are
ideally verified by two independent sources, and all estimates reported are grounded in
UCDP’s expertise of each particular country. Due to the varying certainty of fatality
reports, the project provides three estimates concerning battle-related deaths for eachyear.
(a) Best estimate. The best estimate is constructed by aggregating the best estimates foreach individual event. If reports provide conflicting estimates, an examination is made as
to what source is most reliable. If no such distinction can be made, UCDP employs thelower figure given.
(b) Low estimate. The low estimate is constructed by aggregating the low estimates foreach individual event. If different reports provide different estimates and a higher
estimate is considered more reliable, the low estimate is also reported if deemed
reasonable.
(c) High estimate. The high estimate is constructed by aggregating the high estimates foreach individual event. If different reports provide different estimates and a lower estimate
is considered more or equally reliable, the high estimate is also reported if deemed
reasonable. If there is uncertainty about exactly which party was involved in a given
incident, it may also be included in the high estimate.
Location. The geographical location of the activity in the non-state conflict. Location is astring variable, listing all countries in which the conflict is active.
GWNOLoc. This field contains the country code(s) for the state(s) listed in the Location
variable. Thus, it lists the country codes for the primary party/parties in the conflict.
GWNoloc is a string variable, where the numbers are separated by a comma (‘,’). A fulllist of country codes is available in the UCDP Dyadic Dataset Codebook (Themnér,
2014).
Region. Region of location.
1 Europe
2 Middle East
3 Asia4 Africa
5 Americas

Version. The version number is a combination of a number and a year. The number isincreased when the structure of the dataset is significantly changed. The year refers towhen the dataset is updated with new observations. If there are changes in the data
between yearly updates, a letter is used behind the year.
This codebook corresponds to version 2.5 of the UCDP Non-State Conflict Dataset. We
recommend that whenever this dataset is used, the version number should be cited.
References
Themnér, Lotta, 2014, “UCDP Dyadic Dataset Codebook”, Uppsala Conflict Data
Program, Dept. of Peace and Conflict Research, Uppsala University,
http://www.ucdp.uu.se/
Pettersson, Therese, 2014, “UCDP Actor Dataset Codebook”, Uppsala Conflict Data
Program, Dept. of Peace and Conflict Research, Uppsala University,
http://www.ucdp.uu.se/IDs for temporary coalitions
ActorsConflict ID

Actor IDs

Temporary
Coalition ID

Fulani, Hausa
Gabra, Garre
Newiba, Mahariba, Mahamid

2-254, 2-11735
2-35
2-83

547520553003562503

Nyangatom, Toposa
RCD–N, MLC
Foulbe, Hausa
Hunde, Nyanga
Mayi Mayi, CNDD–FDD
ALiR, CNDD-FDD, Mayi-Mayi

2-127, 2-409
2-138
2-172
2-184
2-188
2-189

Borana, Guji
Forest Brothers, White Legion
Nawuri, Konkomba
Dagomba, Gonja, Nanumba

2-198
2-203
2-205
2-208

Luo, Kisii
Orma, Wardei
Pokot, Samburu
NPFL, ULIMO – K
ULIMO – J, AFL, LPC

2-225
2-232
2-233
2-241
2-241

FIAA, ARLA, FPLA

2-243

Anaguta, Afisare, Birom

2-254

1461, 1462
1463, 1963
1517, 1520,
1521
1573, 1553
1511, 1269
1775, 1462
1783, 1943
1505, 1280
2013,1280,
1505
1445, 1467
1673, 1674
1945, 1946
1947, 1948,
1944
1768, 1796
1800, 1801
1529, 1794
1358, 1557
1556, 1428,
1496
1374, 1804,
1803
1433, 1815,

553002549001547101549016549010549024553001537201545202545201550104550103550102545001545002543201547510Ijaw, Urhobo
Beni Halba Baggara, Salamat Baggara
Jie, Matheniko Karimojong
Matheniko Karimojong, Turkana
Turkana, Toposa
Igbo, Yoruba
FNI, FRPI
Dayak, Malay
Jie, Matheniko Karimojong, Turkana

2-268
2-326
2-335, 2-437
2-337
2-339
2-368
2-398
2-410
2-412

Black Axe, Bush Boys, Deebam, KK,
NDV

2-469

Gontrar, Zintan
ALiR, Mayi Mayi
Bafulero, Bavira
AQIM, Jama'atu Ahlis Sunna
Lidda'awati wal-Jihad, MUJAOMUJAO, Signed-in-Blood Battalion
Ghuraba al-Sham, Jabhat al-Nusra li
al-Sham
FSA, Jabhat al-Nusra li al-Sham
FSA, Jabhat al-Nusra li al-Sham,
Mishʿal-at-Tammu Brigade
ISIS, Jabhat al-Nusra li al-Sham
Burji, Gabra
Awlad Metanin (Misseriya), Awlad
Serur (Misseriya)

2-480
2-484
2-485
2-488
2-489
2-498
2-499, 2-13772
2-13769
2-13767
2-12696
2-123851443
1477, 1820
1873, 1872
1489, 1908
1908, 1554
1554, 1553
1476, 1562
1460, 1961
1680, 1970
1489, 1908,
1554
2114, 2115,
2054, 2121,
1516
2119, 2118
2013, 1505
2116, 2117
1391, 1935,
2046
2046, 2120
2101, 2057
2015, 2057
2015, 2057,
5538
1076, 2057
1463, 1446
4204, 4531

547501562501550010550009550005547503549003585002550004547527562001549013549019543202543203565201565202565280565281553080562580