CorruptionRadar
Country profile - NGA

Corruption in Nigeria

37 sub-national regions - 1995-2022. Latest country-level SCI: 44.5 (2022).

Grand: 28.6 Petty: 41.2 Latest observed: 2020

Nigeria: key corruption facts

The most corrupt region of Nigeria is Akwa Ibom (35.1/100), and the least corrupt is Adamawa (53.3/100), on a 0-100 scale where 0 is most corrupt and 100 is least. All 37 regions are ranked below.

  • In 2022, Nigeria's national Subnational Corruption Index (SCI) was 44.5/100, on a scale where 0 is the most corrupt and 100 the least corrupt.
  • Most corrupt region: Akwa Ibom (SCI 35.1/100, 2022).
  • Least corrupt region: Adamawa (SCI 53.3/100, 2022).
  • Grand corruption (SGCI): 28.6/100; petty corruption (SPCI): 41.2/100 (last directly observed in 2020).
  • Trend: Nigeria's SCI moved from 42.8/100 (1995) to 44.5/100 (2022).
  • Coverage: 37 regions, 1995–2022. Source: Subnational Corruption Database (Crombach & Smits, 2024, Nature Scientific Data), CC BY 4.0.

How Nigeria compares: SCD vs. the CPI and World Bank

The Subnational Corruption Index is scored 0–100 on the same orientation as Transparency International's Corruption Perceptions Index (higher = cleaner). The difference: the CPI and the World Bank measure the perceptions of experts and business executives and report one national number, while the SCI is built from what ordinary households perceive and experience — and it breaks Nigeria into 37 regions.

Index Latest Scale Based on
Subnational Corruption Index (SCI) 44.5 0–100 (100 = cleanest) Households — perception & experience
Transparency International CPI 24 0–100 (100 = cleanest) Experts & business surveys
World Bank Control of Corruption -1.1 ≈ −2.5 to 2.5 Aggregated expert sources

Most recent year — SCI 2022, CPI 2022, CCI 2022. The SCD also publishes region-anchored SUB-CPI and SUB-CCI series so the CPI and World Bank measures can be read at the regional level.

SCI trajectory - 1995-2022

Country-level mean of the Subnational Corruption Index, averaged across all 37 regions. Higher values mean cleaner governance (0 = most corrupt, 100 = least corrupt).

47 37 1995 2022

Source: SCD v1.0 (Comprehensive Dataset). Years where the panel was filled by inter/extrapolation are included in the country mean.

Regions (37)

Each row is a sub-national region with its latest SCI score. Click into any row for the region's full time series.

# Region GDL code Years Latest SCI
1 Akwa Ibom NGAr101 1995-2022 35.1
2 Delta NGAr123 1995-2022 35.6
3 Abia NGAr122 1995-2022 36.5
4 Ebonyi NGAr132 1995-2022 36.5
5 Lagos NGAr114 1995-2022 36.5
6 Rivers NGAr120 1995-2022 36.5
7 Oyo NGAr118 1995-2022 37.3
8 Imo NGAr109 1995-2022 37.4
9 Ogun NGAr116 1995-2022 37.7
10 Edo NGAr104 1995-2022 38.8
11 Cross River NGAr107 1995-2022 38.9
12 Anambra NGAr102 1995-2022 39.1
13 Abuja FCT NGAr137 1995-2022 40.4
14 Bayelsa NGAr131 1995-2022 42.4
15 Osun NGAr128 1995-2022 42.8
16 Ondo NGAr117 1995-2022 43
17 Plateau NGAr119 1995-2022 43.3
18 Ekiti NGAr133 1995-2022 43.8
19 Kogi NGAr127 1995-2022 44.8
20 Enugu NGAr124 1995-2022 45.2
21 Yobe NGAr130 1995-2022 46.2
22 Niger NGAr115 1995-2022 46.3
23 Benue NGAr105 1995-2022 47
24 Bauchi NGAr103 1995-2022 47.1
25 Kaduna NGAr110 1995-2022 48.7
26 Kwara NGAr113 1995-2022 48.7
27 Gombe NGAr134 1995-2022 50.4
28 Borno NGAr106 1995-2022 51
29 Zamfora NGAr136 1995-2022 51.3
30 Taraba NGAr129 1995-2022 51.6
31 Nassarawa NGAr135 1995-2022 51.7
32 Kano NGAr111 1995-2022 51.8
33 Kebbi NGAr126 1995-2022 52.1
34 Sokoto NGAr121 1995-2022 52.4
35 Adamawa NGAr108 1995-2022 53.3
36 Jigawa NGAr125 1995-2022 53.3
37 Katsina NGAr112 1995-2022 53.3

Download Nigeria

Per-country panel slice in CSV format. Columns: iso, country, gdl, region, year, sci. Direct dataset citations should reference the Figshare deposit (see How to cite).

Download NGA.csv