placestats

Corruption Perceptions Index vs. Electoral democracy

Holds up after adjusting for income

Across 168 countries, Corruption Perceptions Index and Electoral democracy rise and fall together at r = +0.65 (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 = +0.51, q = 0.036, allowing for the many pairs tested).

Comparing countries across the middle half of corruption perceptions index, 28 to 56 points, electoral democracy is better by 0.251 points at the top of that range than the bottom. Comparing only countries with similar national income, the gap is 0.246 points.

Link before adjusting (r)+0.652p = 1.0e-21 · 168 countries
After adjusting for national income+0.515p = 1.1e-12 · likely range [+0.39, +0.62]
p, allowing for regions0.003standard error 0.104 · 7 regions
Check for luck (q)0.036across 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
Electoral democracy · index (0-1)link with income +0.49 · 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) →Electoral democracy · index (0-1) →9900.0160.913Afghanistan: 17 index (0-100, higher = cleaner), 0.069 index (0-1)Angola: 32 index (0-100, higher = cleaner), 0.344 index (0-1)Albania: 42 index (0-100, higher = cleaner), 0.484 index (0-1)United Arab Emirates: 68 index (0-100, higher = cleaner), 0.104 index (0-1)Argentina: 37 index (0-100, higher = cleaner), 0.69 index (0-1)Armenia: 47 index (0-100, higher = cleaner), 0.614 index (0-1)Australia: 77 index (0-100, higher = cleaner), 0.844 index (0-1)Austria: 67 index (0-100, higher = cleaner), 0.839 index (0-1)Azerbaijan: 22 index (0-100, higher = cleaner), 0.171 index (0-1)Burundi: 17 index (0-100, higher = cleaner), 0.185 index (0-1)Belgium: 69 index (0-100, higher = cleaner), 0.889 index (0-1)Benin: 45 index (0-100, higher = cleaner), 0.493 index (0-1)Burkina Faso: 41 index (0-100, higher = cleaner), 0.134 index (0-1)Bangladesh: 23 index (0-100, higher = cleaner), 0.195 index (0-1)Bulgaria: 43 index (0-100, higher = cleaner), 0.599 index (0-1)Bahrain: 53 index (0-100, higher = cleaner), 0.139 index (0-1)Bosnia and Herzegovina: 33 index (0-100, higher = cleaner), 0.498 index (0-1)Belarus: 33 index (0-100, higher = cleaner), 0.163 index (0-1)Bolivia: 28 index (0-100, higher = cleaner), 0.605 index (0-1)Brazil: 34 index (0-100, higher = cleaner), 0.784 index (0-1)Barbados: 68 index (0-100, higher = cleaner), 0.797 index (0-1)Bhutan: 72 index (0-100, higher = cleaner), 0.566 index (0-1)Botswana: 57 index (0-100, higher = cleaner), 0.665 index (0-1)Central African Republic: 24 index (0-100, higher = cleaner), 0.293 index (0-1)Canada: 75 index (0-100, higher = cleaner), 0.84 index (0-1)Switzerland: 81 index (0-100, higher = cleaner), 0.882 index (0-1)Chile: 63 index (0-100, higher = cleaner), 0.839 index (0-1)China: 43 index (0-100, higher = cleaner), 0.072 index (0-1)Cote d'Ivoire: 45 index (0-100, higher = cleaner), 0.394 index (0-1)Cameroon: 26 index (0-100, higher = cleaner), 0.26 index (0-1)Congo, Dem. Rep.: 20 index (0-100, higher = cleaner), 0.306 index (0-1)Congo, Rep.: 23 index (0-100, higher = cleaner), 0.243 index (0-1)Colombia: 39 index (0-100, higher = cleaner), 0.679 index (0-1)Comoros: 21 index (0-100, higher = cleaner), 0.293 index (0-1)Cabo Verde: 62 index (0-100, higher = cleaner), 0.745 index (0-1)Costa Rica: 58 index (0-100, higher = cleaner), 0.862 index (0-1)Cyprus: 56 index (0-100, higher = cleaner), 0.773 index (0-1)Czechia: 56 index (0-100, higher = cleaner), 0.849 index (0-1)Germany: 75 index (0-100, higher = cleaner), 0.828 index (0-1)Djibouti: 31 index (0-100, higher = cleaner), 0.25 index (0-1)Denmark: 90 index (0-100, higher = cleaner), 0.913 index (0-1)Dominican Republic: 36 index (0-100, higher = cleaner), 0.735 index (0-1)Algeria: 34 index (0-100, higher = cleaner), 0.265 index (0-1)Ecuador: 32 index (0-100, higher = cleaner), 0.607 index (0-1)Egypt, Arab Rep.: 30 index (0-100, higher = cleaner), 0.187 index (0-1)Spain: 56 index (0-100, higher = cleaner), 0.822 index (0-1)Estonia: 76 index (0-100, higher = cleaner), 0.887 index (0-1)Ethiopia: 37 index (0-100, higher = cleaner), 0.257 index (0-1)Finland: 88 index (0-100, higher = cleaner), 0.852 index (0-1)Fiji: 55 index (0-100, higher = cleaner), 0.507 index (0-1)France: 67 index (0-100, higher = cleaner), 0.865 index (0-1)Gabon: 27 index (0-100, higher = cleaner), 0.302 index (0-1)United Kingdom: 71 index (0-100, higher = cleaner), 0.772 index (0-1)Georgia: 53 index (0-100, higher = cleaner), 0.401 index (0-1)Ghana: 42 index (0-100, higher = cleaner), 0.711 index (0-1)Guinea: 28 index (0-100, higher = cleaner), 0.187 index (0-1)Gambia, The: 38 index (0-100, higher = cleaner), 0.641 index (0-1)Guinea-Bissau: 21 index (0-100, higher = cleaner), 0.252 index (0-1)Equatorial Guinea: 13 index (0-100, higher = cleaner), 0.172 index (0-1)Greece: 49 index (0-100, higher = cleaner), 0.741 index (0-1)Guatemala: 25 index (0-100, higher = cleaner), 0.637 index (0-1)Guyana: 39 index (0-100, higher = cleaner), 0.515 index (0-1)Hong Kong SAR, China: 74 index (0-100, higher = cleaner), 0.151 index (0-1)Honduras: 22 index (0-100, higher = cleaner), 0.511 index (0-1)Croatia: 47 index (0-100, higher = cleaner), 0.686 index (0-1)Haiti: 16 index (0-100, higher = cleaner), 0.238 index (0-1)Hungary: 41 index (0-100, higher = cleaner), 0.421 index (0-1)Indonesia: 37 index (0-100, higher = cleaner), 0.462 index (0-1)India: 38 index (0-100, higher = cleaner), 0.377 index (0-1)Ireland: 77 index (0-100, higher = cleaner), 0.887 index (0-1)Iran, Islamic Rep.: 23 index (0-100, higher = cleaner), 0.159 index (0-1)Iraq: 26 index (0-100, higher = cleaner), 0.369 index (0-1)Iceland: 77 index (0-100, higher = cleaner), 0.807 index (0-1)Israel: 64 index (0-100, higher = cleaner), 0.694 index (0-1)Italy: 54 index (0-100, higher = cleaner), 0.745 index (0-1)Jamaica: 44 index (0-100, higher = cleaner), 0.805 index (0-1)Jordan: 49 index (0-100, higher = cleaner), 0.282 index (0-1)Japan: 71 index (0-100, higher = cleaner), 0.819 index (0-1)Kazakhstan: 40 index (0-100, higher = cleaner), 0.259 index (0-1)Kenya: 32 index (0-100, higher = cleaner), 0.563 index (0-1)Kyrgyz Republic: 25 index (0-100, higher = cleaner), 0.313 index (0-1)Cambodia: 21 index (0-100, higher = cleaner), 0.183 index (0-1)Korea, Rep.: 64 index (0-100, higher = cleaner), 0.819 index (0-1)Kuwait: 46 index (0-100, higher = cleaner), 0.138 index (0-1)Lao PDR: 33 index (0-100, higher = cleaner), 0.135 index (0-1)Lebanon: 22 index (0-100, higher = cleaner), 0.419 index (0-1)Liberia: 27 index (0-100, higher = cleaner), 0.597 index (0-1)Libya: 13 index (0-100, higher = cleaner), 0.193 index (0-1)Sri Lanka: 32 index (0-100, higher = cleaner), 0.783 index (0-1)Lesotho: 37 index (0-100, higher = cleaner), 0.661 index (0-1)Lithuania: 63 index (0-100, higher = cleaner), 0.786 index (0-1)Luxembourg: 81 index (0-100, higher = cleaner), 0.869 index (0-1)Latvia: 59 index (0-100, higher = cleaner), 0.834 index (0-1)Morocco: 37 index (0-100, higher = cleaner), 0.259 index (0-1)Moldova: 43 index (0-100, higher = cleaner), 0.553 index (0-1)Madagascar: 26 index (0-100, higher = cleaner), 0.361 index (0-1)Maldives: 38 index (0-100, higher = cleaner), 0.556 index (0-1)Mexico: 26 index (0-100, higher = cleaner), 0.469 index (0-1)North Macedonia: 40 index (0-100, higher = cleaner), 0.562 index (0-1)Mali: 27 index (0-100, higher = cleaner), 0.164 index (0-1)Malta: 46 index (0-100, higher = cleaner), 0.783 index (0-1)Myanmar: 16 index (0-100, higher = cleaner), 0.08 index (0-1)Montenegro: 46 index (0-100, higher = cleaner), 0.636 index (0-1)Mongolia: 33 index (0-100, higher = cleaner), 0.535 index (0-1)Mozambique: 25 index (0-100, higher = cleaner), 0.279 index (0-1)Mauritania: 30 index (0-100, higher = cleaner), 0.328 index (0-1)Mauritius: 51 index (0-100, higher = cleaner), 0.738 index (0-1)Malawi: 34 index (0-100, higher = cleaner), 0.557 index (0-1)Malaysia: 50 index (0-100, higher = cleaner), 0.504 index (0-1)Namibia: 49 index (0-100, higher = cleaner), 0.633 index (0-1)Niger: 34 index (0-100, higher = cleaner), 0.227 index (0-1)Nigeria: 26 index (0-100, higher = cleaner), 0.505 index (0-1)Nicaragua: 14 index (0-100, higher = cleaner), 0.151 index (0-1)Netherlands: 78 index (0-100, higher = cleaner), 0.832 index (0-1)Norway: 81 index (0-100, higher = cleaner), 0.89 index (0-1)Nepal: 34 index (0-100, higher = cleaner), 0.656 index (0-1)New Zealand: 83 index (0-100, higher = cleaner), 0.849 index (0-1)Oman: 55 index (0-100, higher = cleaner), 0.175 index (0-1)Pakistan: 27 index (0-100, higher = cleaner), 0.302 index (0-1)Panama: 33 index (0-100, higher = cleaner), 0.728 index (0-1)Peru: 31 index (0-100, higher = cleaner), 0.667 index (0-1)Philippines: 33 index (0-100, higher = cleaner), 0.392 index (0-1)Papua New Guinea: 31 index (0-100, higher = cleaner), 0.467 index (0-1)Poland: 53 index (0-100, higher = cleaner), 0.768 index (0-1)Portugal: 57 index (0-100, higher = cleaner), 0.822 index (0-1)Paraguay: 24 index (0-100, higher = cleaner), 0.581 index (0-1)Qatar: 59 index (0-100, higher = cleaner), 0.034 index (0-1)Romania: 46 index (0-100, higher = cleaner), 0.605 index (0-1)Russian Federation: 22 index (0-100, higher = cleaner), 0.17 index (0-1)Rwanda: 57 index (0-100, higher = cleaner), 0.193 index (0-1)Saudi Arabia: 59 index (0-100, higher = cleaner), 0.016 index (0-1)Sudan: 15 index (0-100, higher = cleaner), 0.13 index (0-1)Senegal: 45 index (0-100, higher = cleaner), 0.633 index (0-1)Singapore: 84 index (0-100, higher = cleaner), 0.434 index (0-1)Solomon Islands: 43 index (0-100, higher = cleaner), 0.696 index (0-1)Sierra Leone: 33 index (0-100, higher = cleaner), 0.471 index (0-1)El Salvador: 30 index (0-100, higher = cleaner), 0.321 index (0-1)Somalia, Fed. Rep.: 9 index (0-100, higher = cleaner), 0.165 index (0-1)Serbia: 35 index (0-100, higher = cleaner), 0.3 index (0-1)Sao Tome and Principe: 45 index (0-100, higher = cleaner), 0.632 index (0-1)Suriname: 40 index (0-100, higher = cleaner), 0.781 index (0-1)Slovak Republic: 49 index (0-100, higher = cleaner), 0.733 index (0-1)Slovenia: 60 index (0-100, higher = cleaner), 0.692 index (0-1)Sweden: 80 index (0-100, higher = cleaner), 0.889 index (0-1)Eswatini: 27 index (0-100, higher = cleaner), 0.128 index (0-1)Seychelles: 72 index (0-100, higher = cleaner), 0.76 index (0-1)Syrian Arab Republic: 12 index (0-100, higher = cleaner), 0.128 index (0-1)Chad: 21 index (0-100, higher = cleaner), 0.242 index (0-1)Togo: 32 index (0-100, higher = cleaner), 0.351 index (0-1)Thailand: 34 index (0-100, higher = cleaner), 0.424 index (0-1)Tajikistan: 19 index (0-100, higher = cleaner), 0.158 index (0-1)Turkmenistan: 17 index (0-100, higher = cleaner), 0.148 index (0-1)Timor-Leste: 44 index (0-100, higher = cleaner), 0.736 index (0-1)Trinidad and Tobago: 41 index (0-100, higher = cleaner), 0.786 index (0-1)Tunisia: 39 index (0-100, higher = cleaner), 0.395 index (0-1)Turkiye: 34 index (0-100, higher = cleaner), 0.293 index (0-1)Tanzania: 41 index (0-100, higher = cleaner), 0.365 index (0-1)Uganda: 26 index (0-100, higher = cleaner), 0.253 index (0-1)Ukraine: 35 index (0-100, higher = cleaner), 0.386 index (0-1)Uruguay: 76 index (0-100, higher = cleaner), 0.862 index (0-1)United States: 65 index (0-100, higher = cleaner), 0.735 index (0-1)Uzbekistan: 32 index (0-100, higher = cleaner), 0.218 index (0-1)Viet Nam: 40 index (0-100, higher = cleaner), 0.146 index (0-1)Vanuatu: 50 index (0-100, higher = cleaner), 0.729 index (0-1)Kosovo: 44 index (0-100, higher = cleaner), 0.631 index (0-1)South Africa: 41 index (0-100, higher = cleaner), 0.743 index (0-1)Zambia: 39 index (0-100, higher = cleaner), 0.497 index (0-1)Zimbabwe: 21 index (0-100, higher = cleaner), 0.268 index (0-1)AREBRADNKFINGTMHKGLKAMMRNORSAUSOMSYR

best-fit line line after adjusting

Four ways to measure the link

MethodrpCountries
Standard (Pearson), not adjusted+0.6521.0e-21168
By rank (Spearman), not adjusted+0.6631.2e-22168
Standard (Pearson), adjusted for national income+0.5151.1e-12168
By rank (Spearman), adjusted for national income+0.5121.5e-12168

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: +0.137 (a minus sign means it grew).

How solid is it?

Leaving out one country at a time, r ranges from +0.501 (without RUS) to +0.538 (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 (+0.024).

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+0.67
Europe & Central Asia49+0.75
Latin America & Caribbean23+0.63
Middle East, North Africa, Afghanistan & Pakistan21+0.02
Sub-Saharan Africa46+0.58

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+0.49
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+0.61
Muslims48+0.20

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+0.43
Never a European colony21+0.53
Spain19+0.47
United Kingdom49+0.54

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 = +0.515 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.

Loading…

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 = +0.223) but mostly disappears in year-to-year changes (r = +0.034). That points to slow trends particular to each country, not the two measures moving together from year to year.

Across countries (adjusted)+0.515for comparison
Within countries+0.214each country vs itself
…and vs the same year elsewhere+0.223q = 0.002 · 174 countries
Year-on-year changes+0.034q = 0.521
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, 5% for Electoral 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 Electoral democracy trails Corruption Perceptions Index →lag -10: r = 0.086 (n = 2,241)lag -9: r = 0.095 (n = 2,241)lag -8: r = 0.113 (n = 2,241)lag -7: r = 0.143 (n = 2,241)lag -6: r = 0.177 (n = 2,241)lag -5: r = 0.211 (n = 2,241)lag -4: r = 0.248 (n = 2,241)lag -3: r = 0.278 (n = 2,241)lag -2: r = 0.300 (n = 2,241)lag -1: r = 0.293 (n = 2,241)lag +0: r = 0.223 (n = 2,241)lag +1: r = 0.143 (n = 2,241)lag +2: r = 0.071 (n = 2,067)lag +3: r = -0.002 (n = 1,893)lag +4: r = -0.050 (n = 1,719)lag +5: r = -0.080 (n = 1,541)lag +6: r = -0.082 (n = 1,360)lag +7: r = -0.075 (n = 1,185)lag +8: r = -0.066 (n = 1,011)lag +9: r = -0.031 (n = 830)

Same year (lag 0): +0.223. 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 (+0.30 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 DNK900.9132024, 2025
Finland FIN880.8522024, 2025
Singapore SGP840.4342024, 2025
New Zealand NZL830.8492024, 2025
Norway NOR810.892024, 2025
Luxembourg LUX810.8692024, 2025
Switzerland CHE810.8822024, 2025
Sweden SWE800.8892024, 2025
Netherlands NLD780.8322024, 2025
Iceland ISL770.8072024, 2025
Ireland IRL770.8872024, 2025
Australia AUS770.8442024, 2025
Uruguay URY760.8622024, 2025
Estonia EST760.8872024, 2025
Germany DEU750.8282024, 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.

Electoral democracy

Electoral democracy index (polyarchy)

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

Based on political scientist Robert Dahl's idea of "polyarchy": are leaders chosen in free and fair elections, with freedom of speech, freedom to form groups, and the vote for nearly all adults? It is the base index that most other V-Dem measures are built on.

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 Electoral democracy

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

More links with Corruption Perceptions Index or Electoral democracy