placestats

Corruption Perceptions Index vs. Marriage rate

Holds up after adjusting for income

Across 46 countries, Corruption Perceptions Index and Marriage rate rise and fall together at r = -0.28 (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 = -0.34, q = 0.041, allowing for the many pairs tested). Caution: leave-one-out range spans 0.17 in r.

Comparing countries across the middle half of corruption perceptions index, 49 to 75.8 points, marriage rate is 0.752 marriages per 1,000 people lower at the top of that range than the bottom. Comparing only countries with similar national income, the gap is 1.27 marriages per 1,000 people.

Link before adjusting (r)-0.279p = 0.060 · 46 countries
After adjusting for national income-0.335p = 0.024 · likely range [-0.57, -0.05]
p, allowing for regions0.003standard error 0.054 · 5 regions
Check for luck (q)0.041across 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
Marriage rate · marriages per 1,000 peoplelink with income -0.06 · independent

“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) →Marriage rate · marriages per 1,000 people →22901.399.6Argentina: 37 index (0-100, higher = cleaner), 2.79 marriages per 1,000 peopleAustralia: 77 index (0-100, higher = cleaner), 4.89 marriages per 1,000 peopleAustria: 67 index (0-100, higher = cleaner), 5.24 marriages per 1,000 peopleBelgium: 69 index (0-100, higher = cleaner), 4.2 marriages per 1,000 peopleBulgaria: 43 index (0-100, higher = cleaner), 3.9 marriages per 1,000 peopleCanada: 75 index (0-100, higher = cleaner), 2.6 marriages per 1,000 peopleSwitzerland: 81 index (0-100, higher = cleaner), 4.7 marriages per 1,000 peopleChile: 63 index (0-100, higher = cleaner), 2.7 marriages per 1,000 peopleChina: 43 index (0-100, higher = cleaner), 9.6 marriages per 1,000 peopleColombia: 39 index (0-100, higher = cleaner), 1.39 marriages per 1,000 peopleCosta Rica: 58 index (0-100, higher = cleaner), 4.39 marriages per 1,000 peopleCyprus: 56 index (0-100, higher = cleaner), 8.9 marriages per 1,000 peopleCzechia: 56 index (0-100, higher = cleaner), 5.1 marriages per 1,000 peopleGermany: 75 index (0-100, higher = cleaner), 4.7 marriages per 1,000 peopleDenmark: 90 index (0-100, higher = cleaner), 5.34 marriages per 1,000 peopleSpain: 56 index (0-100, higher = cleaner), 3.7 marriages per 1,000 peopleEstonia: 76 index (0-100, higher = cleaner), 5.3 marriages per 1,000 peopleFinland: 88 index (0-100, higher = cleaner), 3.9 marriages per 1,000 peopleFrance: 67 index (0-100, higher = cleaner), 3.6 marriages per 1,000 peopleUnited Kingdom: 71 index (0-100, higher = cleaner), 1.4 marriages per 1,000 peopleGreece: 49 index (0-100, higher = cleaner), 4.2 marriages per 1,000 peopleCroatia: 47 index (0-100, higher = cleaner), 4.7 marriages per 1,000 peopleHungary: 41 index (0-100, higher = cleaner), 6.6 marriages per 1,000 peopleIreland: 77 index (0-100, higher = cleaner), 3.3 marriages per 1,000 peopleIceland: 77 index (0-100, higher = cleaner), 5 marriages per 1,000 peopleIsrael: 64 index (0-100, higher = cleaner), 5.46 marriages per 1,000 peopleItaly: 54 index (0-100, higher = cleaner), 3.2 marriages per 1,000 peopleJapan: 71 index (0-100, higher = cleaner), 4.1 marriages per 1,000 peopleKorea, Rep.: 64 index (0-100, higher = cleaner), 3.7 marriages per 1,000 peopleLithuania: 63 index (0-100, higher = cleaner), 5.7 marriages per 1,000 peopleLuxembourg: 81 index (0-100, higher = cleaner), 3.8 marriages per 1,000 peopleLatvia: 59 index (0-100, higher = cleaner), 6.3 marriages per 1,000 peopleMexico: 26 index (0-100, higher = cleaner), 3.9 marriages per 1,000 peopleMalta: 46 index (0-100, higher = cleaner), 4.8 marriages per 1,000 peopleNetherlands: 78 index (0-100, higher = cleaner), 4 marriages per 1,000 peopleNorway: 81 index (0-100, higher = cleaner), 3.8 marriages per 1,000 peopleNew Zealand: 83 index (0-100, higher = cleaner), 3.68 marriages per 1,000 peoplePoland: 53 index (0-100, higher = cleaner), 4.2 marriages per 1,000 peoplePortugal: 57 index (0-100, higher = cleaner), 3.5 marriages per 1,000 peopleRomania: 46 index (0-100, higher = cleaner), 6.2 marriages per 1,000 peopleRussian Federation: 22 index (0-100, higher = cleaner), 8.5 marriages per 1,000 peopleSlovak Republic: 49 index (0-100, higher = cleaner), 5.4 marriages per 1,000 peopleSlovenia: 60 index (0-100, higher = cleaner), 3.2 marriages per 1,000 peopleSweden: 80 index (0-100, higher = cleaner), 4.6 marriages per 1,000 peopleTurkiye: 34 index (0-100, higher = cleaner), 6.8 marriages per 1,000 peopleUnited States: 65 index (0-100, higher = cleaner), 6.2 marriages per 1,000 peopleARGCANCHNCOLCYPDNKFINGBRMEXRUSTUR

best-fit line line after adjusting

Four ways to measure the link

MethodrpCountries
Standard (Pearson), not adjusted-0.2790.06046
By rank (Spearman), not adjusted-0.1970.18946
Standard (Pearson), adjusted for national income-0.3350.02446
By rank (Spearman), adjusted for national income-0.2310.12746

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 46 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: -0.056 (a minus sign means it grew).

How solid is it?

Leaving out one country at a time, r ranges from -0.389 (without CHN) to -0.217 (without RUS). 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: RUS (+0.118).

Fragile: this link may not hold up.
  • leave-one-out range spans 0.17 in r

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
Europe & Central Asia32-0.34

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 third16-0.37
Middle third15-0.27
Richest third15-0.13

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
Christians38-0.35

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 = -0.229 after dropping 3 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 11years. So a link here can’t come from anything about a country that stays the same, such as its history, geography, institutions or culture.

Within countries over time, there is no link that is clearly more than chance (r = +0.015, comparing each country only with itself over the years, and each year only with the same year elsewhere). Whatever the cross-country picture shows, countries whose corruption perceptions index moved did not tend to see their marriage rate move with it.

Across countries (adjusted)-0.335for comparison
Within countries+0.057each country vs itself
…and vs the same year elsewhere+0.015q = 0.959 · 44 countries
Year-on-year changes+0.086q = 0.370
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.

466 country-years (one country in one year), 44 countries, 2012–2022, about 11 years each on average. Share of the variation that happens within countries over time: 2% for Corruption Perceptions Index, 20% for Marriage rate. 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

0.20−0.2-100+5years Marriage rate trails Corruption Perceptions Index →lag -10: r = 0.121 (n = 546)lag -9: r = 0.079 (n = 553)lag -8: r = 0.101 (n = 555)lag -7: r = 0.061 (n = 558)lag -6: r = 0.034 (n = 561)lag -5: r = 0.036 (n = 563)lag -4: r = 0.049 (n = 564)lag -3: r = 0.006 (n = 559)lag -2: r = -0.001 (n = 553)lag -1: r = 0.003 (n = 510)lag +0: r = 0.015 (n = 466)lag +1: r = 0.001 (n = 422)lag +2: r = -0.074 (n = 378)lag +3: r = -0.160 (n = 330)lag +4: r = -0.085 (n = 283)lag +5: r = -0.113 (n = 229)

Same year (lag 0): +0.015. 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 (-0.16 at lag +3) is higher than the same-year one by 0.14. That gap is not a finding. It is the largest of 16 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)
marriages per 1,000 people		Years
Denmark DNK905.342024, 2022
Finland FIN883.92024, 2022
New Zealand NZL833.682024, 2022
Norway NOR813.82024, 2022
Luxembourg LUX813.82024, 2022
Switzerland CHE814.72024, 2022
Sweden SWE804.62024, 2022
Netherlands NLD7842024, 2022
Iceland ISL7752024, 2020
Ireland IRL773.32024, 2021
Australia AUS774.892024, 2022
Estonia EST765.32024, 2022
Germany DEU754.72024, 2022
Canada CAN752.62024, 2020
Japan JPN714.12024, 2022

Transparency International, Corruption Perceptions Index
OECD Family Database, indicators SF3.1 (marriage and divorce rates) and SF1.2 (children in families); US series before 1990 from the US Census Bureau and CDC/NCHS
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.

Marriage rate

Crude marriage rate

OECD · via Our World in Data · CC BY 4.0 (OECD terms and conditions) · updated annual

Registered marriages in the year per 1,000 people (counted at mid-year), from official records. Couples living together and registered partnerships are left out. So the rate shows how often people marry, and nothing about how many live as couples. New Zealand counts civil unions. Same-sex marriages count in each country's figure from the year it made them legal. This is the only ready-made series that compares countries. It covers only OECD members, about forty countries, nearly all of them rich. So its links with other measures are worked out over only a third of the countries on the site, and adjusting for GDP has less to remove. The low points in 2020 are the pandemic, not a break in the series. But the British and Canadian series stop at 2020, so their latest value is that low point: 1.4 and 2.6, against 3.7 and 3.9 the year before. The links with the governance measures stay the same using pre-pandemic values, or with both countries removed. No "better" direction is set: it describes how people live, not how well a country is doing.

How this was computed

Data used: most recent value in 2010-2025; values come from 2012–2024. 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 5 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 Marriage rate

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

More links with Corruption Perceptions Index or Marriage rate