placestats

Corruption Perceptions Index vs. Participatory democracy

Fades after adjusting for income

Across 168 countries, Corruption Perceptions Index and Participatory democracy rise and fall together at r = +0.66 (on a scale from −1 to +1, where 0 means no link). Comparing only countries with similar income (GDP per person) leaves r = +0.52, which could easily be chance (q = 0.057, allowing for the many pairs tested, and allowing for countries in the same region being alike).

Comparing countries across the middle half of corruption perceptions index, 28 to 56 points, participatory democracy is better by 0.185 points at the top of that range than the bottom. Comparing only countries with similar national income, the gap is 0.18 points.

Link before adjusting (r)+0.657p = 4.0e-22 · 168 countries
After adjusting for national income+0.516p = 9.3e-13 · likely range [+0.40, +0.62]
p, allowing for regions0.006standard error 0.126 · 7 regions
Check for luck (q)0.057across 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
Participatory democracy · index (0-1)link with income +0.47 · 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) →Participatory democracy · index (0-1) →9900.0260.785Afghanistan: 17 index (0-100, higher = cleaner), 0.051 index (0-1)Angola: 32 index (0-100, higher = cleaner), 0.103 index (0-1)Albania: 42 index (0-100, higher = cleaner), 0.29 index (0-1)United Arab Emirates: 68 index (0-100, higher = cleaner), 0.031 index (0-1)Argentina: 37 index (0-100, higher = cleaner), 0.429 index (0-1)Armenia: 47 index (0-100, higher = cleaner), 0.319 index (0-1)Australia: 77 index (0-100, higher = cleaner), 0.648 index (0-1)Austria: 67 index (0-100, higher = cleaner), 0.582 index (0-1)Azerbaijan: 22 index (0-100, higher = cleaner), 0.043 index (0-1)Burundi: 17 index (0-100, higher = cleaner), 0.142 index (0-1)Belgium: 69 index (0-100, higher = cleaner), 0.633 index (0-1)Benin: 45 index (0-100, higher = cleaner), 0.28 index (0-1)Burkina Faso: 41 index (0-100, higher = cleaner), 0.104 index (0-1)Bangladesh: 23 index (0-100, higher = cleaner), 0.099 index (0-1)Bulgaria: 43 index (0-100, higher = cleaner), 0.397 index (0-1)Bahrain: 53 index (0-100, higher = cleaner), 0.054 index (0-1)Bosnia and Herzegovina: 33 index (0-100, higher = cleaner), 0.298 index (0-1)Belarus: 33 index (0-100, higher = cleaner), 0.054 index (0-1)Bolivia: 28 index (0-100, higher = cleaner), 0.414 index (0-1)Brazil: 34 index (0-100, higher = cleaner), 0.528 index (0-1)Barbados: 68 index (0-100, higher = cleaner), 0.347 index (0-1)Bhutan: 72 index (0-100, higher = cleaner), 0.349 index (0-1)Botswana: 57 index (0-100, higher = cleaner), 0.369 index (0-1)Central African Republic: 24 index (0-100, higher = cleaner), 0.13 index (0-1)Canada: 75 index (0-100, higher = cleaner), 0.589 index (0-1)Switzerland: 81 index (0-100, higher = cleaner), 0.785 index (0-1)Chile: 63 index (0-100, higher = cleaner), 0.574 index (0-1)China: 43 index (0-100, higher = cleaner), 0.036 index (0-1)Cote d'Ivoire: 45 index (0-100, higher = cleaner), 0.262 index (0-1)Cameroon: 26 index (0-100, higher = cleaner), 0.093 index (0-1)Congo, Dem. Rep.: 20 index (0-100, higher = cleaner), 0.2 index (0-1)Congo, Rep.: 23 index (0-100, higher = cleaner), 0.188 index (0-1)Colombia: 39 index (0-100, higher = cleaner), 0.467 index (0-1)Comoros: 21 index (0-100, higher = cleaner), 0.2 index (0-1)Cabo Verde: 62 index (0-100, higher = cleaner), 0.458 index (0-1)Costa Rica: 58 index (0-100, higher = cleaner), 0.606 index (0-1)Cyprus: 56 index (0-100, higher = cleaner), 0.49 index (0-1)Czechia: 56 index (0-100, higher = cleaner), 0.562 index (0-1)Germany: 75 index (0-100, higher = cleaner), 0.593 index (0-1)Djibouti: 31 index (0-100, higher = cleaner), 0.142 index (0-1)Denmark: 90 index (0-100, higher = cleaner), 0.7 index (0-1)Dominican Republic: 36 index (0-100, higher = cleaner), 0.475 index (0-1)Algeria: 34 index (0-100, higher = cleaner), 0.095 index (0-1)Ecuador: 32 index (0-100, higher = cleaner), 0.462 index (0-1)Egypt, Arab Rep.: 30 index (0-100, higher = cleaner), 0.076 index (0-1)Spain: 56 index (0-100, higher = cleaner), 0.572 index (0-1)Estonia: 76 index (0-100, higher = cleaner), 0.621 index (0-1)Ethiopia: 37 index (0-100, higher = cleaner), 0.128 index (0-1)Finland: 88 index (0-100, higher = cleaner), 0.597 index (0-1)Fiji: 55 index (0-100, higher = cleaner), 0.265 index (0-1)France: 67 index (0-100, higher = cleaner), 0.597 index (0-1)Gabon: 27 index (0-100, higher = cleaner), 0.24 index (0-1)United Kingdom: 71 index (0-100, higher = cleaner), 0.533 index (0-1)Georgia: 53 index (0-100, higher = cleaner), 0.236 index (0-1)Ghana: 42 index (0-100, higher = cleaner), 0.361 index (0-1)Guinea: 28 index (0-100, higher = cleaner), 0.12 index (0-1)Gambia, The: 38 index (0-100, higher = cleaner), 0.406 index (0-1)Guinea-Bissau: 21 index (0-100, higher = cleaner), 0.128 index (0-1)Equatorial Guinea: 13 index (0-100, higher = cleaner), 0.041 index (0-1)Greece: 49 index (0-100, higher = cleaner), 0.493 index (0-1)Guatemala: 25 index (0-100, higher = cleaner), 0.421 index (0-1)Guyana: 39 index (0-100, higher = cleaner), 0.283 index (0-1)Hong Kong SAR, China: 74 index (0-100, higher = cleaner), 0.049 index (0-1)Honduras: 22 index (0-100, higher = cleaner), 0.32 index (0-1)Croatia: 47 index (0-100, higher = cleaner), 0.459 index (0-1)Haiti: 16 index (0-100, higher = cleaner), 0.119 index (0-1)Hungary: 41 index (0-100, higher = cleaner), 0.268 index (0-1)Indonesia: 37 index (0-100, higher = cleaner), 0.298 index (0-1)India: 38 index (0-100, higher = cleaner), 0.246 index (0-1)Ireland: 77 index (0-100, higher = cleaner), 0.619 index (0-1)Iran, Islamic Rep.: 23 index (0-100, higher = cleaner), 0.042 index (0-1)Iraq: 26 index (0-100, higher = cleaner), 0.224 index (0-1)Iceland: 77 index (0-100, higher = cleaner), 0.565 index (0-1)Israel: 64 index (0-100, higher = cleaner), 0.455 index (0-1)Italy: 54 index (0-100, higher = cleaner), 0.569 index (0-1)Jamaica: 44 index (0-100, higher = cleaner), 0.524 index (0-1)Jordan: 49 index (0-100, higher = cleaner), 0.132 index (0-1)Japan: 71 index (0-100, higher = cleaner), 0.526 index (0-1)Kazakhstan: 40 index (0-100, higher = cleaner), 0.107 index (0-1)Kenya: 32 index (0-100, higher = cleaner), 0.335 index (0-1)Kyrgyz Republic: 25 index (0-100, higher = cleaner), 0.163 index (0-1)Cambodia: 21 index (0-100, higher = cleaner), 0.06 index (0-1)Korea, Rep.: 64 index (0-100, higher = cleaner), 0.551 index (0-1)Kuwait: 46 index (0-100, higher = cleaner), 0.053 index (0-1)Lao PDR: 33 index (0-100, higher = cleaner), 0.118 index (0-1)Lebanon: 22 index (0-100, higher = cleaner), 0.222 index (0-1)Liberia: 27 index (0-100, higher = cleaner), 0.321 index (0-1)Libya: 13 index (0-100, higher = cleaner), 0.087 index (0-1)Sri Lanka: 32 index (0-100, higher = cleaner), 0.52 index (0-1)Lesotho: 37 index (0-100, higher = cleaner), 0.404 index (0-1)Lithuania: 63 index (0-100, higher = cleaner), 0.56 index (0-1)Luxembourg: 81 index (0-100, higher = cleaner), 0.556 index (0-1)Latvia: 59 index (0-100, higher = cleaner), 0.595 index (0-1)Morocco: 37 index (0-100, higher = cleaner), 0.151 index (0-1)Moldova: 43 index (0-100, higher = cleaner), 0.389 index (0-1)Madagascar: 26 index (0-100, higher = cleaner), 0.217 index (0-1)Maldives: 38 index (0-100, higher = cleaner), 0.316 index (0-1)Mexico: 26 index (0-100, higher = cleaner), 0.337 index (0-1)North Macedonia: 40 index (0-100, higher = cleaner), 0.354 index (0-1)Mali: 27 index (0-100, higher = cleaner), 0.164 index (0-1)Malta: 46 index (0-100, higher = cleaner), 0.529 index (0-1)Myanmar: 16 index (0-100, higher = cleaner), 0.041 index (0-1)Montenegro: 46 index (0-100, higher = cleaner), 0.403 index (0-1)Mongolia: 33 index (0-100, higher = cleaner), 0.281 index (0-1)Mozambique: 25 index (0-100, higher = cleaner), 0.201 index (0-1)Mauritania: 30 index (0-100, higher = cleaner), 0.221 index (0-1)Mauritius: 51 index (0-100, higher = cleaner), 0.481 index (0-1)Malawi: 34 index (0-100, higher = cleaner), 0.366 index (0-1)Malaysia: 50 index (0-100, higher = cleaner), 0.303 index (0-1)Namibia: 49 index (0-100, higher = cleaner), 0.349 index (0-1)Niger: 34 index (0-100, higher = cleaner), 0.189 index (0-1)Nigeria: 26 index (0-100, higher = cleaner), 0.323 index (0-1)Nicaragua: 14 index (0-100, higher = cleaner), 0.098 index (0-1)Netherlands: 78 index (0-100, higher = cleaner), 0.553 index (0-1)Norway: 81 index (0-100, higher = cleaner), 0.638 index (0-1)Nepal: 34 index (0-100, higher = cleaner), 0.435 index (0-1)New Zealand: 83 index (0-100, higher = cleaner), 0.581 index (0-1)Oman: 55 index (0-100, higher = cleaner), 0.12 index (0-1)Pakistan: 27 index (0-100, higher = cleaner), 0.192 index (0-1)Panama: 33 index (0-100, higher = cleaner), 0.441 index (0-1)Peru: 31 index (0-100, higher = cleaner), 0.448 index (0-1)Philippines: 33 index (0-100, higher = cleaner), 0.261 index (0-1)Papua New Guinea: 31 index (0-100, higher = cleaner), 0.28 index (0-1)Poland: 53 index (0-100, higher = cleaner), 0.519 index (0-1)Portugal: 57 index (0-100, higher = cleaner), 0.529 index (0-1)Paraguay: 24 index (0-100, higher = cleaner), 0.342 index (0-1)Qatar: 59 index (0-100, higher = cleaner), 0.034 index (0-1)Romania: 46 index (0-100, higher = cleaner), 0.416 index (0-1)Russian Federation: 22 index (0-100, higher = cleaner), 0.124 index (0-1)Rwanda: 57 index (0-100, higher = cleaner), 0.13 index (0-1)Saudi Arabia: 59 index (0-100, higher = cleaner), 0.026 index (0-1)Sudan: 15 index (0-100, higher = cleaner), 0.051 index (0-1)Senegal: 45 index (0-100, higher = cleaner), 0.402 index (0-1)Singapore: 84 index (0-100, higher = cleaner), 0.121 index (0-1)Solomon Islands: 43 index (0-100, higher = cleaner), 0.429 index (0-1)Sierra Leone: 33 index (0-100, higher = cleaner), 0.307 index (0-1)El Salvador: 30 index (0-100, higher = cleaner), 0.159 index (0-1)Somalia, Fed. Rep.: 9 index (0-100, higher = cleaner), 0.095 index (0-1)Serbia: 35 index (0-100, higher = cleaner), 0.217 index (0-1)Sao Tome and Principe: 45 index (0-100, higher = cleaner), 0.391 index (0-1)Suriname: 40 index (0-100, higher = cleaner), 0.509 index (0-1)Slovak Republic: 49 index (0-100, higher = cleaner), 0.508 index (0-1)Slovenia: 60 index (0-100, higher = cleaner), 0.506 index (0-1)Sweden: 80 index (0-100, higher = cleaner), 0.635 index (0-1)Eswatini: 27 index (0-100, higher = cleaner), 0.11 index (0-1)Seychelles: 72 index (0-100, higher = cleaner), 0.341 index (0-1)Syrian Arab Republic: 12 index (0-100, higher = cleaner), 0.058 index (0-1)Chad: 21 index (0-100, higher = cleaner), 0.129 index (0-1)Togo: 32 index (0-100, higher = cleaner), 0.233 index (0-1)Thailand: 34 index (0-100, higher = cleaner), 0.186 index (0-1)Tajikistan: 19 index (0-100, higher = cleaner), 0.059 index (0-1)Turkmenistan: 17 index (0-100, higher = cleaner), 0.033 index (0-1)Timor-Leste: 44 index (0-100, higher = cleaner), 0.462 index (0-1)Trinidad and Tobago: 41 index (0-100, higher = cleaner), 0.505 index (0-1)Tunisia: 39 index (0-100, higher = cleaner), 0.242 index (0-1)Turkiye: 34 index (0-100, higher = cleaner), 0.165 index (0-1)Tanzania: 41 index (0-100, higher = cleaner), 0.245 index (0-1)Uganda: 26 index (0-100, higher = cleaner), 0.156 index (0-1)Ukraine: 35 index (0-100, higher = cleaner), 0.252 index (0-1)Uruguay: 76 index (0-100, higher = cleaner), 0.716 index (0-1)United States: 65 index (0-100, higher = cleaner), 0.51 index (0-1)Uzbekistan: 32 index (0-100, higher = cleaner), 0.082 index (0-1)Viet Nam: 40 index (0-100, higher = cleaner), 0.164 index (0-1)Vanuatu: 50 index (0-100, higher = cleaner), 0.323 index (0-1)Kosovo: 44 index (0-100, higher = cleaner), 0.346 index (0-1)South Africa: 41 index (0-100, higher = cleaner), 0.47 index (0-1)Zambia: 39 index (0-100, higher = cleaner), 0.348 index (0-1)Zimbabwe: 21 index (0-100, higher = cleaner), 0.202 index (0-1)AREBRACHEDNKFINGNQGTMHKGLKASGPSOMSYR

best-fit line line after adjusting

Four ways to measure the link

MethodrpCountries
Standard (Pearson), not adjusted+0.6574.0e-22168
By rank (Spearman), not adjusted+0.6371.7e-20168
Standard (Pearson), adjusted for national income+0.5169.3e-13168
By rank (Spearman), adjusted for national income+0.4901.7e-11168

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: +0.141 (a minus sign means it grew).

How solid is it?

Leaving out one country at a time, r ranges from +0.505 (without TKM) to +0.543 (without SGP). 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: SGP (+0.027).

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+0.60
Europe & Central Asia49+0.75
Latin America & Caribbean23+0.57
Middle East, North Africa, Afghanistan & Pakistan21+0.08
Sub-Saharan Africa46+0.55

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+0.61
Middle third56+0.42
Richest third56+0.53

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+0.58
Muslims48+0.33

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+0.56
Never a European colony21+0.63
Spain19+0.61
United Kingdom49+0.48

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 = +0.516 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 = +0.238) but mostly disappears in year-to-year changes (r = +0.051). That points to slow trends particular to each country, not the two measures moving together from year to year.

Across countries (adjusted)+0.516for comparison
Within countries+0.228each country vs itself
…and vs the same year elsewhere+0.238q = 0.000 · 174 countries
Year-on-year changes+0.051q = 0.223
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 Participatory 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 Participatory democracy trails Corruption Perceptions Index →lag -10: r = 0.095 (n = 2,241)lag -9: r = 0.106 (n = 2,241)lag -8: r = 0.127 (n = 2,241)lag -7: r = 0.162 (n = 2,241)lag -6: r = 0.196 (n = 2,241)lag -5: r = 0.232 (n = 2,241)lag -4: r = 0.264 (n = 2,241)lag -3: r = 0.294 (n = 2,241)lag -2: r = 0.320 (n = 2,241)lag -1: r = 0.305 (n = 2,241)lag +0: r = 0.238 (n = 2,241)lag +1: r = 0.149 (n = 2,241)lag +2: r = 0.072 (n = 2,067)lag +3: r = -0.007 (n = 1,893)lag +4: r = -0.061 (n = 1,719)lag +5: r = -0.101 (n = 1,541)lag +6: r = -0.110 (n = 1,360)lag +7: r = -0.116 (n = 1,185)lag +8: r = -0.118 (n = 1,011)lag +9: r = -0.066 (n = 830)

Same year (lag 0): +0.238. 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 DNK900.72024, 2025
Finland FIN880.5972024, 2025
Singapore SGP840.1212024, 2025
New Zealand NZL830.5812024, 2025
Norway NOR810.6382024, 2025
Luxembourg LUX810.5562024, 2025
Switzerland CHE810.7852024, 2025
Sweden SWE800.6352024, 2025
Netherlands NLD780.5532024, 2025
Iceland ISL770.5652024, 2025
Ireland IRL770.6192024, 2025
Australia AUS770.6482024, 2025
Uruguay URY760.7162024, 2025
Estonia EST760.6212024, 2025
Germany DEU750.5932024, 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.

Participatory democracy

Participatory democracy index

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

Electoral democracy plus direct participation: people's involvement in civic groups, referendums, and elected local and regional government.

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 Participatory democracy

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

More links with Corruption Perceptions Index or Participatory democracy