placestats

Corruption Perceptions Index vs. Liberal democracy

Holds up after adjusting for income

Across 168 countries, Corruption Perceptions Index and Liberal democracy rise and fall together at r = +0.74 (on a scale from −1 to +1, where 0 means no link). It holds up almost unchanged when only countries with similar income (GDP per person) are compared (r = +0.61, q = 0.019, allowing for the many pairs tested).

Comparing countries across the middle half of corruption perceptions index, 28 to 56 points, liberal democracy is better by 0.284 points at the top of that range than the bottom. Comparing only countries with similar national income, the gap is 0.279 points.

Link before adjusting (r)+0.736p = 6.6e-30 · 168 countries
After adjusting for national income+0.607p = 3.7e-18 · likely range [+0.50, +0.69]
p, allowing for regions0.001standard error 0.099 · 7 regions
Check for luck (q)0.019across 12,497 pairs

How to read these.r runs from −1 (one goes up as the other goes down) to +1 (they rise together), and 0 means no link. Adjusting for national income means comparing countries with the same GDP per person, so differences in wealth can’t explain the link. Income is used in percentage terms, since an extra $1,000 means more to a poor country than to a rich one. p is how likely a link this strong would be if there were really none. Below 0.05 means it is unlikely to be chance. Very small values are written in short form: 1.1e-32 means a decimal point followed by 31 zeros and then 11, so very close to zero. The likely range is where the true figure probably lies, and a range that crosses zero means the link could easily be chance. Countries in the same region tend to resemble each other, so the third figure allows for that, which gives a fairer p. The standard error is the typical size of the error in r. Finally, testing this many pairs means some will look strong by luck alone. A q below 0.05 means this link is unlikely to be one of those.

Corruption Perceptions Index · index (0-100, higher = cleaner)link with income +0.72 · high
Liberal democracy · index (0-1)link with income +0.52 · moderate

“Link with income” is how closely each measure tracks GDP per person across countries, from −1 to +1.

Every country as a dot

Corruption Perceptions Index · index (0-100, higher = cleaner) →Liberal democracy · index (0-1) →9900.0150.884Afghanistan: 17 index (0-100, higher = cleaner), 0.018 index (0-1)Angola: 32 index (0-100, higher = cleaner), 0.163 index (0-1)Albania: 42 index (0-100, higher = cleaner), 0.382 index (0-1)United Arab Emirates: 68 index (0-100, higher = cleaner), 0.077 index (0-1)Argentina: 37 index (0-100, higher = cleaner), 0.524 index (0-1)Armenia: 47 index (0-100, higher = cleaner), 0.371 index (0-1)Australia: 77 index (0-100, higher = cleaner), 0.793 index (0-1)Austria: 67 index (0-100, higher = cleaner), 0.757 index (0-1)Azerbaijan: 22 index (0-100, higher = cleaner), 0.053 index (0-1)Burundi: 17 index (0-100, higher = cleaner), 0.06 index (0-1)Belgium: 69 index (0-100, higher = cleaner), 0.794 index (0-1)Benin: 45 index (0-100, higher = cleaner), 0.323 index (0-1)Burkina Faso: 41 index (0-100, higher = cleaner), 0.103 index (0-1)Bangladesh: 23 index (0-100, higher = cleaner), 0.116 index (0-1)Bulgaria: 43 index (0-100, higher = cleaner), 0.499 index (0-1)Bahrain: 53 index (0-100, higher = cleaner), 0.062 index (0-1)Bosnia and Herzegovina: 33 index (0-100, higher = cleaner), 0.339 index (0-1)Belarus: 33 index (0-100, higher = cleaner), 0.038 index (0-1)Bolivia: 28 index (0-100, higher = cleaner), 0.352 index (0-1)Brazil: 34 index (0-100, higher = cleaner), 0.704 index (0-1)Barbados: 68 index (0-100, higher = cleaner), 0.679 index (0-1)Bhutan: 72 index (0-100, higher = cleaner), 0.457 index (0-1)Botswana: 57 index (0-100, higher = cleaner), 0.52 index (0-1)Central African Republic: 24 index (0-100, higher = cleaner), 0.102 index (0-1)Canada: 75 index (0-100, higher = cleaner), 0.736 index (0-1)Switzerland: 81 index (0-100, higher = cleaner), 0.843 index (0-1)Chile: 63 index (0-100, higher = cleaner), 0.781 index (0-1)China: 43 index (0-100, higher = cleaner), 0.039 index (0-1)Cote d'Ivoire: 45 index (0-100, higher = cleaner), 0.228 index (0-1)Cameroon: 26 index (0-100, higher = cleaner), 0.114 index (0-1)Congo, Dem. Rep.: 20 index (0-100, higher = cleaner), 0.115 index (0-1)Congo, Rep.: 23 index (0-100, higher = cleaner), 0.115 index (0-1)Colombia: 39 index (0-100, higher = cleaner), 0.555 index (0-1)Comoros: 21 index (0-100, higher = cleaner), 0.132 index (0-1)Cabo Verde: 62 index (0-100, higher = cleaner), 0.631 index (0-1)Costa Rica: 58 index (0-100, higher = cleaner), 0.809 index (0-1)Cyprus: 56 index (0-100, higher = cleaner), 0.664 index (0-1)Czechia: 56 index (0-100, higher = cleaner), 0.794 index (0-1)Germany: 75 index (0-100, higher = cleaner), 0.782 index (0-1)Djibouti: 31 index (0-100, higher = cleaner), 0.118 index (0-1)Denmark: 90 index (0-100, higher = cleaner), 0.884 index (0-1)Dominican Republic: 36 index (0-100, higher = cleaner), 0.505 index (0-1)Algeria: 34 index (0-100, higher = cleaner), 0.126 index (0-1)Ecuador: 32 index (0-100, higher = cleaner), 0.386 index (0-1)Egypt, Arab Rep.: 30 index (0-100, higher = cleaner), 0.115 index (0-1)Spain: 56 index (0-100, higher = cleaner), 0.741 index (0-1)Estonia: 76 index (0-100, higher = cleaner), 0.837 index (0-1)Ethiopia: 37 index (0-100, higher = cleaner), 0.1 index (0-1)Finland: 88 index (0-100, higher = cleaner), 0.808 index (0-1)Fiji: 55 index (0-100, higher = cleaner), 0.398 index (0-1)France: 67 index (0-100, higher = cleaner), 0.8 index (0-1)Gabon: 27 index (0-100, higher = cleaner), 0.178 index (0-1)United Kingdom: 71 index (0-100, higher = cleaner), 0.689 index (0-1)Georgia: 53 index (0-100, higher = cleaner), 0.275 index (0-1)Ghana: 42 index (0-100, higher = cleaner), 0.606 index (0-1)Guinea: 28 index (0-100, higher = cleaner), 0.095 index (0-1)Gambia, The: 38 index (0-100, higher = cleaner), 0.522 index (0-1)Guinea-Bissau: 21 index (0-100, higher = cleaner), 0.095 index (0-1)Equatorial Guinea: 13 index (0-100, higher = cleaner), 0.047 index (0-1)Greece: 49 index (0-100, higher = cleaner), 0.568 index (0-1)Guatemala: 25 index (0-100, higher = cleaner), 0.523 index (0-1)Guyana: 39 index (0-100, higher = cleaner), 0.328 index (0-1)Hong Kong SAR, China: 74 index (0-100, higher = cleaner), 0.142 index (0-1)Honduras: 22 index (0-100, higher = cleaner), 0.38 index (0-1)Croatia: 47 index (0-100, higher = cleaner), 0.593 index (0-1)Haiti: 16 index (0-100, higher = cleaner), 0.098 index (0-1)Hungary: 41 index (0-100, higher = cleaner), 0.315 index (0-1)Indonesia: 37 index (0-100, higher = cleaner), 0.296 index (0-1)India: 38 index (0-100, higher = cleaner), 0.26 index (0-1)Ireland: 77 index (0-100, higher = cleaner), 0.822 index (0-1)Iran, Islamic Rep.: 23 index (0-100, higher = cleaner), 0.103 index (0-1)Iraq: 26 index (0-100, higher = cleaner), 0.22 index (0-1)Iceland: 77 index (0-100, higher = cleaner), 0.72 index (0-1)Israel: 64 index (0-100, higher = cleaner), 0.588 index (0-1)Italy: 54 index (0-100, higher = cleaner), 0.642 index (0-1)Jamaica: 44 index (0-100, higher = cleaner), 0.679 index (0-1)Jordan: 49 index (0-100, higher = cleaner), 0.274 index (0-1)Japan: 71 index (0-100, higher = cleaner), 0.734 index (0-1)Kazakhstan: 40 index (0-100, higher = cleaner), 0.131 index (0-1)Kenya: 32 index (0-100, higher = cleaner), 0.446 index (0-1)Kyrgyz Republic: 25 index (0-100, higher = cleaner), 0.178 index (0-1)Cambodia: 21 index (0-100, higher = cleaner), 0.051 index (0-1)Korea, Rep.: 64 index (0-100, higher = cleaner), 0.739 index (0-1)Kuwait: 46 index (0-100, higher = cleaner), 0.127 index (0-1)Lao PDR: 33 index (0-100, higher = cleaner), 0.11 index (0-1)Lebanon: 22 index (0-100, higher = cleaner), 0.267 index (0-1)Liberia: 27 index (0-100, higher = cleaner), 0.417 index (0-1)Libya: 13 index (0-100, higher = cleaner), 0.098 index (0-1)Sri Lanka: 32 index (0-100, higher = cleaner), 0.613 index (0-1)Lesotho: 37 index (0-100, higher = cleaner), 0.512 index (0-1)Lithuania: 63 index (0-100, higher = cleaner), 0.712 index (0-1)Luxembourg: 81 index (0-100, higher = cleaner), 0.777 index (0-1)Latvia: 59 index (0-100, higher = cleaner), 0.751 index (0-1)Morocco: 37 index (0-100, higher = cleaner), 0.251 index (0-1)Moldova: 43 index (0-100, higher = cleaner), 0.449 index (0-1)Madagascar: 26 index (0-100, higher = cleaner), 0.187 index (0-1)Maldives: 38 index (0-100, higher = cleaner), 0.416 index (0-1)Mexico: 26 index (0-100, higher = cleaner), 0.221 index (0-1)North Macedonia: 40 index (0-100, higher = cleaner), 0.374 index (0-1)Mali: 27 index (0-100, higher = cleaner), 0.15 index (0-1)Malta: 46 index (0-100, higher = cleaner), 0.621 index (0-1)Myanmar: 16 index (0-100, higher = cleaner), 0.015 index (0-1)Montenegro: 46 index (0-100, higher = cleaner), 0.5 index (0-1)Mongolia: 33 index (0-100, higher = cleaner), 0.424 index (0-1)Mozambique: 25 index (0-100, higher = cleaner), 0.175 index (0-1)Mauritania: 30 index (0-100, higher = cleaner), 0.127 index (0-1)Mauritius: 51 index (0-100, higher = cleaner), 0.639 index (0-1)Malawi: 34 index (0-100, higher = cleaner), 0.462 index (0-1)Malaysia: 50 index (0-100, higher = cleaner), 0.355 index (0-1)Namibia: 49 index (0-100, higher = cleaner), 0.519 index (0-1)Niger: 34 index (0-100, higher = cleaner), 0.177 index (0-1)Nigeria: 26 index (0-100, higher = cleaner), 0.311 index (0-1)Nicaragua: 14 index (0-100, higher = cleaner), 0.019 index (0-1)Netherlands: 78 index (0-100, higher = cleaner), 0.774 index (0-1)Norway: 81 index (0-100, higher = cleaner), 0.847 index (0-1)Nepal: 34 index (0-100, higher = cleaner), 0.505 index (0-1)New Zealand: 83 index (0-100, higher = cleaner), 0.787 index (0-1)Oman: 55 index (0-100, higher = cleaner), 0.14 index (0-1)Pakistan: 27 index (0-100, higher = cleaner), 0.176 index (0-1)Panama: 33 index (0-100, higher = cleaner), 0.575 index (0-1)Peru: 31 index (0-100, higher = cleaner), 0.506 index (0-1)Philippines: 33 index (0-100, higher = cleaner), 0.291 index (0-1)Papua New Guinea: 31 index (0-100, higher = cleaner), 0.384 index (0-1)Poland: 53 index (0-100, higher = cleaner), 0.645 index (0-1)Portugal: 57 index (0-100, higher = cleaner), 0.717 index (0-1)Paraguay: 24 index (0-100, higher = cleaner), 0.376 index (0-1)Qatar: 59 index (0-100, higher = cleaner), 0.091 index (0-1)Romania: 46 index (0-100, higher = cleaner), 0.464 index (0-1)Russian Federation: 22 index (0-100, higher = cleaner), 0.056 index (0-1)Rwanda: 57 index (0-100, higher = cleaner), 0.09 index (0-1)Saudi Arabia: 59 index (0-100, higher = cleaner), 0.047 index (0-1)Sudan: 15 index (0-100, higher = cleaner), 0.034 index (0-1)Senegal: 45 index (0-100, higher = cleaner), 0.484 index (0-1)Singapore: 84 index (0-100, higher = cleaner), 0.36 index (0-1)Solomon Islands: 43 index (0-100, higher = cleaner), 0.539 index (0-1)Sierra Leone: 33 index (0-100, higher = cleaner), 0.348 index (0-1)El Salvador: 30 index (0-100, higher = cleaner), 0.09 index (0-1)Somalia, Fed. Rep.: 9 index (0-100, higher = cleaner), 0.128 index (0-1)Serbia: 35 index (0-100, higher = cleaner), 0.208 index (0-1)Sao Tome and Principe: 45 index (0-100, higher = cleaner), 0.519 index (0-1)Suriname: 40 index (0-100, higher = cleaner), 0.626 index (0-1)Slovak Republic: 49 index (0-100, higher = cleaner), 0.573 index (0-1)Slovenia: 60 index (0-100, higher = cleaner), 0.589 index (0-1)Sweden: 80 index (0-100, higher = cleaner), 0.853 index (0-1)Eswatini: 27 index (0-100, higher = cleaner), 0.097 index (0-1)Seychelles: 72 index (0-100, higher = cleaner), 0.68 index (0-1)Syrian Arab Republic: 12 index (0-100, higher = cleaner), 0.054 index (0-1)Chad: 21 index (0-100, higher = cleaner), 0.062 index (0-1)Togo: 32 index (0-100, higher = cleaner), 0.157 index (0-1)Thailand: 34 index (0-100, higher = cleaner), 0.314 index (0-1)Tajikistan: 19 index (0-100, higher = cleaner), 0.043 index (0-1)Turkmenistan: 17 index (0-100, higher = cleaner), 0.034 index (0-1)Timor-Leste: 44 index (0-100, higher = cleaner), 0.549 index (0-1)Trinidad and Tobago: 41 index (0-100, higher = cleaner), 0.668 index (0-1)Tunisia: 39 index (0-100, higher = cleaner), 0.265 index (0-1)Turkiye: 34 index (0-100, higher = cleaner), 0.11 index (0-1)Tanzania: 41 index (0-100, higher = cleaner), 0.297 index (0-1)Uganda: 26 index (0-100, higher = cleaner), 0.165 index (0-1)Ukraine: 35 index (0-100, higher = cleaner), 0.24 index (0-1)Uruguay: 76 index (0-100, higher = cleaner), 0.79 index (0-1)United States: 65 index (0-100, higher = cleaner), 0.571 index (0-1)Uzbekistan: 32 index (0-100, higher = cleaner), 0.079 index (0-1)Viet Nam: 40 index (0-100, higher = cleaner), 0.102 index (0-1)Vanuatu: 50 index (0-100, higher = cleaner), 0.623 index (0-1)Kosovo: 44 index (0-100, higher = cleaner), 0.457 index (0-1)South Africa: 41 index (0-100, higher = cleaner), 0.633 index (0-1)Zambia: 39 index (0-100, higher = cleaner), 0.375 index (0-1)Zimbabwe: 21 index (0-100, higher = cleaner), 0.147 index (0-1)AREBRADNKFINGNQGTMHKGLKANICNORSGPSYR

best-fit line line after adjusting

Four ways to measure the link

MethodrpCountries
Standard (Pearson), not adjusted+0.7366.6e-30168
By rank (Spearman), not adjusted+0.7203.7e-28168
Standard (Pearson), adjusted for national income+0.6073.7e-18168
By rank (Spearman), adjusted for national income+0.5878.1e-17168

The rank version uses only each country’s place in line, from lowest to highest, so a few extreme countries count for less. The adjusted and unadjusted versions use the same 168 countries: those that report both measures and GDP per person. So the gap between them comes from the adjustment, not from a change in which countries are counted. Drop in the size of r after adjusting: +0.129 (a minus sign means it grew).

How solid is it?

Leaving out one country at a time, r ranges from +0.595 (without RUS) to +0.628 (without HKG). The bar above shows that range on a scale from −1 to +1, with the solid line at the full result. The single country that moves r most: HKG (+0.021).

Within each region

Countries are not separate, unrelated cases, and neighbors share a lot. A link that holds inside each region is far more believable than one that shows up only when comparing regions.

nr
East Asia & Pacific21+0.71
Europe & Central Asia49+0.79
Latin America & Caribbean23+0.69
Middle East, North Africa, Afghanistan & Pakistan21+0.14
Sub-Saharan Africa46+0.63

By income third

If the link shows up only in the richest third of countries, it is a feature of rich countries, not a general pattern.

nr
Poorest third56+0.64
Middle third56+0.57
Richest third56+0.62

By largest religious group

Countries grouped by a label they share, such as main religion, rather than by a number. Groups of fewer than twelve countries are not shown. These groups differ in income, region and history all at once. So a gap between them is a place to start asking questions, not an answer.

nr
Christians99+0.69
Muslims48+0.37

By last european coloniser

Countries grouped by a label they share, such as main religion, rather than by a number. Groups of fewer than twelve countries are not shown. These groups differ in income, region and history all at once. So a gap between them is a place to start asking questions, not an answer.

nr
France25+0.60
Never a European colony21+0.60
Spain19+0.66
United Kingdom49+0.61

Without outliers (countries far outside the middle half of countries on either measure, by more than one and a half times the width of that middle half): r = +0.607 after dropping 0 countries.

Two series, one country

Both measures over the years for one country you pick. The two charts are stacked so they share only the years along the bottom.

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Over time, within countries

Everything above compares countries with each other at one moment. This section compares each country only with itself over 13years. So a link here can’t come from anything about a country that stays the same, such as its history, geography, institutions or culture.

The link shows up within countries over time (r = +0.236) but mostly disappears in year-to-year changes (r = +0.046). That points to slow trends particular to each country, not the two measures moving together from year to year.

Across countries (adjusted)+0.607for comparison
Within countries+0.227each country vs itself
…and vs the same year elsewhere+0.236q = 0.001 · 174 countries
Year-on-year changes+0.046q = 0.306
Read with care.
  • Almost all of this indicator's variation is between countries, not within them, so the within-country estimate rests on a small part of the data.

2,241 country-years (one country in one year), 174 countries, 2012–2024, about 13 years each on average. Share of the variation that happens within countries over time: 2% for Corruption Perceptions Index, 4% for Liberal democracy. The margins of error allow for each country appearing many times, and for each year’s value being close to the year before.

Year-to-year changes are a cautious test, not a final answer. Looking only at changes from one year to the next removes each country’s own trends. But it also makes measurement mistakes louder, which pulls the results toward zero. A near-zero result here is weak evidence of no link, not proof.

With one measure years behind the other

0.40−0.4-100+9years Liberal democracy trails Corruption Perceptions Index →lag -10: r = 0.094 (n = 2,241)lag -9: r = 0.103 (n = 2,241)lag -8: r = 0.121 (n = 2,241)lag -7: r = 0.148 (n = 2,241)lag -6: r = 0.181 (n = 2,241)lag -5: r = 0.218 (n = 2,241)lag -4: r = 0.255 (n = 2,241)lag -3: r = 0.292 (n = 2,241)lag -2: r = 0.319 (n = 2,241)lag -1: r = 0.309 (n = 2,241)lag +0: r = 0.236 (n = 2,241)lag +1: r = 0.144 (n = 2,241)lag +2: r = 0.064 (n = 2,067)lag +3: r = -0.005 (n = 1,893)lag +4: r = -0.045 (n = 1,719)lag +5: r = -0.069 (n = 1,541)lag +6: r = -0.074 (n = 1,360)lag +7: r = -0.064 (n = 1,185)lag +8: r = -0.080 (n = 1,011)lag +9: r = -0.054 (n = 830)

Same year (lag 0): +0.236. A peak away from zero does not show which comes first. These series change slowly — this year’s value is close to last year’s. That makes the curve smooth and nearly symmetric, whatever produced the data. Even a sharp peak at one lag (a gap of some years) would not prove that one measure changes the other.

The largest value on this curve (+0.32 at lag -2) is higher than the same-year one by 0.08. That gap is not a finding. It is the largest of 20 closely related estimates, and picking the biggest of many tests always makes it look bigger. That is exactly why nothing on this site is ranked or chosen by lag.

The data


index (0-100, higher = cleaner)

index (0-1)
Years
Denmark DNK900.8842024, 2025
Finland FIN880.8082024, 2025
Singapore SGP840.362024, 2025
New Zealand NZL830.7872024, 2025
Norway NOR810.8472024, 2025
Luxembourg LUX810.7772024, 2025
Switzerland CHE810.8432024, 2025
Sweden SWE800.8532024, 2025
Netherlands NLD780.7742024, 2025
Iceland ISL770.722024, 2025
Ireland IRL770.8222024, 2025
Australia AUS770.7932024, 2025
Uruguay URY760.792024, 2025
Estonia EST760.8372024, 2025
Germany DEU750.7822024, 2025

Transparency International, Corruption Perceptions Index
Coppedge, M. et al., V-Dem Dataset, Varieties of Democracy (V-Dem) Project
One of these measures is published under a licence that forbids changes. Values are shown exactly as published and must not be republished in a changed or rescaled form.

Sources

Corruption Perceptions Index

Corruption Perceptions Index

Transparency International · via Our World in Data · CC BY-ND 4.0 · updated annual · comparable from 2012 only

Measures how corrupt the public sector is believed to be, based on 13 surveys of experts and business people. Some of the same surveys feed the Worldwide Governance Indicators' Control of Corruption measure, so the two share ingredients.

Liberal democracy

Liberal democracy index

V-Dem Institute, University of Gothenburg · via Our World in Data · CC BY 4.0 · updated annual

Electoral democracy plus limits on the head of government, independent courts and protected personal freedoms. It contains the electoral democracy index as a part, so the two are built from the same numbers and bound to match.

How this was computed

Data used: most recent value in 2010-2025; values come from 2024–2025. To adjust for income, each measure is first predicted from GDP per person (in percentage terms, on a log scale) with a straight-line fit. Only what is left over is then compared. This is called a partial correlation. The line is drawn the standard way (ordinary least squares), which picks the line that comes closest to all the countries at once. The error margins allow for countries in the same region resembling each other, using 7 World Bank regions. The q-value corrects for testing all 12,497 pairs at once, using the Benjamini–Hochberg method. Underlying data last updated DYB 2024. How the country data works · explore Corruption Perceptions Index and Liberal democracy

This page shows that two measures go together. It does not show that Corruption Perceptions Index changes Liberal democracy, or the reverse. These figures also describe countries, not individual people. See the ecological fallacy.

More links with Corruption Perceptions Index or Liberal democracy