Congo vs Zimbabwe: Legislative Corruption Score

Congo
-1.46
in 2025
Zimbabwe
-1.57
in 2025
Congo rank
145th
Zimbabwe rank
148th

Legislative Corruption Score over time

  • Congo
  • Zimbabwe
-2-101190019622025

How they compare

Congo currently reports -1.46 against -1.57 in Zimbabwe, a difference of 0.11.

The two have swapped places 5 times across 68 shared years of data; in 1947 it was Zimbabwe ahead.

Congo ranks 145th and Zimbabwe ranks 148th of 174 countries.

Across the 9 decades both report, Congo averaged higher in 2 and Zimbabwe in 7.

Head to head by decade

Decade Congo Zimbabwe Difference Ahead
1940s -0.052 0.651 0.703 Zimbabwe
1950s -0.347 0.651 0.998 Zimbabwe
1960s -0.8348 0.5752 1.41 Zimbabwe
1970s -1.68 0.272 1.95 Zimbabwe
1980s -1.68 -0.731 0.946 Zimbabwe
1990s -1.05 -0.9683 0.0844 Zimbabwe
2000s -1.58 -1.66 0.0743 Congo
2010s -1.58 -1.6 0.0158 Congo
2020s -1.46 -1.42 0.0313 Zimbabwe

Averages of every year both report within each decade.

Frequently asked questions

Which has higher legislative corruption score, Congo or Zimbabwe?
Congo, at -1.46 against -1.57 in Zimbabwe as of 2025.
What is the difference in legislative corruption score between Congo and Zimbabwe?
0.11, with Congo ahead.
How many years of comparable data are there for Congo and Zimbabwe?
68 years are reported by both, from 1947 to 2025.
How do Congo and Zimbabwe rank globally for legislative corruption score?
Congo ranks 145th and Zimbabwe ranks 148th of 174 countries.
Where does this data come from?
V-Dem (2026) – processed by Our World in Data, published as Legislative Corruption Score. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Congo vs Zimbabwe: Legislative Corruption Score. Statizoid, drawing on V-Dem (2026) – processed by Our World in Data. Retrieved 23 September 2026, from https://social-development.statizoid.com/compare/legislative-corruption-score/congo-rep/zimbabwe/

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About this data

Indicator
Legislative Corruption Score
Source
V-Dem (2026) – processed by Our World in Data
Licence
CC BY 4.0 (Our World in Data)
Coverage
174 places, 17,541 data points, 1789–2025
Last refreshed

Data by V-Dem. Expert estimates of the extent to which members of the legislature abuse their position for financial gain, such as bribes, government contracts, future employment, or stealing from the state. Higher scores mean less corruption. A score of 0 is approximately the average across all countries and years.