Absence of Non-state Armed Conflict

This sub-sub-indicator measures the number of non-state armed conflicts within a country's territory. Non-state armed conflict is defined by UCDP as the use of armed force between two organised armed groups, neither of which is the government of a state, which results in at least 25 battle-related deaths in a year. If a conflict spans across borders and takes place in multiple locations, the conflict is coded by MIF by adding it to the count for each affected country/year.

View full country table

Top 10 countries

Score
(2021)
Change
('12-'21)

Bottom 10 countries

Score
(2021)
Change
('12-'21)

Most improved countries

Score
(2021)
Change
('12-'21)

Most deteriorated countries

Score
(2021)
Change
('12-'21)
  • {level_3_name}
      {level_4_content}
  • {level_4_name}
      {level_5_content}
  • {level_5_name}
  • Public Perception of Overall Governance

    About Citizens’ Voices


    As citizens are the recipients of public leadership and governance, the assessment of governance performance of the IIAG is accompanied by the Citizens’ Voices dataset in an effort to contextualise the official and expert assessment data in the IIAG with the reality on the ground as perceived by citizens.

    MIF has been working with and supporting Afrobarometer, the leading pan-African research institution conducting public opinion surveys on the continent, and the 2022 IIAG framework gives these more prominence. Formerly scattered at various levels in the IIAG, citizens’ assessments of various governance components are now highlighted in a Citizens’ Voices section, providing a comprehensive 'reality check' to complement the IIAG results.

    This section mirrors the IIAG categories and provides public perception data on the closest proxies to the IIAG measures. However, whilst these measures are available to compare across the IIAG, it is important to note that their scores do not form part of the calculation for Overall Governance.

    About Quick Selection


    Use these links to quickly select multiple measures at once.