placestats

Interpersonal trust vs. Rule of law

Holds up after adjusting for income

Across 107 countries, Interpersonal trust and Rule of law rise and fall together at r = +0.68 (on a scale from −1 to +1, where 0 means no link). Comparing only countries with similar income (GDP per person) shrinks it to +0.46 (q = 0.040, allowing for the many pairs tested). Much of the first figure is that both measures rise with national income, but a moderate positive link remains.

Comparing countries across the middle half of interpersonal trust, 12.9% to 31.6% of respondents, rule of law is better by 0.785 points at the top of that range than the bottom. Comparing only countries with similar national income, the gap is 0.387 points.

Link before adjusting (r)+0.682p = 6.1e-16 · 107 countries
After adjusting for national income+0.457p = 8.4e-7 · likely range [+0.29, +0.60]
p, allowing for regions0.003standard error 0.098 · 7 regions
Check for luck (q)0.040across 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.

Interpersonal trust · % of respondentslink with income +0.66 · high
Rule of law · index (approx. -2.5 to 2.5)link with income +0.72 · high

Both of these rise and fall closely with national income, so a strong link between them before adjusting was close to certain. Read the adjusted figure, not the first one.

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

Every country as a dot

Interpersonal trust · % of respondents →Rule of law · index (approx. -2.5 to 2.5) →2.14%73.9%-1.812.02Albania: 2.77% of respondents, -0.119 index (approx. -2.5 to 2.5)Andorra: 25.5% of respondents, 1.41 index (approx. -2.5 to 2.5)Argentina: 19.2% of respondents, -0.251 index (approx. -2.5 to 2.5)Armenia: 17.5% of respondents, -0.142 index (approx. -2.5 to 2.5)Australia: 48.5% of respondents, 1.47 index (approx. -2.5 to 2.5)Austria: 49.8% of respondents, 1.68 index (approx. -2.5 to 2.5)Azerbaijan: 26.3% of respondents, -0.485 index (approx. -2.5 to 2.5)Belgium: 35.7% of respondents, 1.28 index (approx. -2.5 to 2.5)Burkina Faso: 13.8% of respondents, -0.884 index (approx. -2.5 to 2.5)Bangladesh: 12.9% of respondents, -0.96 index (approx. -2.5 to 2.5)Bulgaria: 17.1% of respondents, -0.0333 index (approx. -2.5 to 2.5)Bosnia and Herzegovina: 9.64% of respondents, -0.319 index (approx. -2.5 to 2.5)Belarus: 40% of respondents, -1.23 index (approx. -2.5 to 2.5)Bolivia: 8.51% of respondents, -1.27 index (approx. -2.5 to 2.5)Brazil: 6.52% of respondents, -0.446 index (approx. -2.5 to 2.5)Canada: 46.7% of respondents, 1.46 index (approx. -2.5 to 2.5)Switzerland: 58.5% of respondents, 1.76 index (approx. -2.5 to 2.5)Chile: 12.9% of respondents, 0.691 index (approx. -2.5 to 2.5)China: 63.5% of respondents, -0.579 index (approx. -2.5 to 2.5)Colombia: 4.54% of respondents, -0.56 index (approx. -2.5 to 2.5)Cyprus: 6.6% of respondents, 0.689 index (approx. -2.5 to 2.5)Czechia: 27.3% of respondents, 1.19 index (approx. -2.5 to 2.5)Germany: 41.6% of respondents, 1.63 index (approx. -2.5 to 2.5)Denmark: 73.9% of respondents, 2 index (approx. -2.5 to 2.5)Algeria: 17.2% of respondents, -0.697 index (approx. -2.5 to 2.5)Ecuador: 5.75% of respondents, -0.965 index (approx. -2.5 to 2.5)Egypt, Arab Rep.: 7.33% of respondents, -0.752 index (approx. -2.5 to 2.5)Spain: 41% of respondents, 0.932 index (approx. -2.5 to 2.5)Estonia: 33.9% of respondents, 1.49 index (approx. -2.5 to 2.5)Ethiopia: 11.9% of respondents, -1.05 index (approx. -2.5 to 2.5)Finland: 68.4% of respondents, 2.02 index (approx. -2.5 to 2.5)France: 26.3% of respondents, 0.979 index (approx. -2.5 to 2.5)United Kingdom: 43.3% of respondents, 1.27 index (approx. -2.5 to 2.5)Georgia: 9.02% of respondents, 0.149 index (approx. -2.5 to 2.5)Ghana: 5.03% of respondents, 0.054 index (approx. -2.5 to 2.5)Greece: 8.45% of respondents, 0.298 index (approx. -2.5 to 2.5)Guatemala: 18% of respondents, -0.962 index (approx. -2.5 to 2.5)Hong Kong SAR, China: 36.4% of respondents, 0.921 index (approx. -2.5 to 2.5)Croatia: 13.6% of respondents, 0.377 index (approx. -2.5 to 2.5)Haiti: 21.3% of respondents, -1.6 index (approx. -2.5 to 2.5)Hungary: 27.2% of respondents, 0.192 index (approx. -2.5 to 2.5)Indonesia: 4.64% of respondents, -0.207 index (approx. -2.5 to 2.5)India: 16.9% of respondents, -0.0392 index (approx. -2.5 to 2.5)Ireland: 37.3% of respondents, 1.59 index (approx. -2.5 to 2.5)Iran, Islamic Rep.: 14.8% of respondents, -1.23 index (approx. -2.5 to 2.5)Iraq: 11% of respondents, -1.36 index (approx. -2.5 to 2.5)Iceland: 62.3% of respondents, 1.63 index (approx. -2.5 to 2.5)Italy: 26.6% of respondents, 0.619 index (approx. -2.5 to 2.5)Jordan: 15.9% of respondents, 0.169 index (approx. -2.5 to 2.5)Japan: 33.7% of respondents, 1.51 index (approx. -2.5 to 2.5)Kazakhstan: 22.8% of respondents, -0.382 index (approx. -2.5 to 2.5)Kenya: 9.48% of respondents, -0.465 index (approx. -2.5 to 2.5)Kyrgyz Republic: 12.8% of respondents, -0.936 index (approx. -2.5 to 2.5)Korea, Rep.: 32.9% of respondents, 1.12 index (approx. -2.5 to 2.5)Kuwait: 28.5% of respondents, 0.231 index (approx. -2.5 to 2.5)Lebanon: 9.92% of respondents, -1.09 index (approx. -2.5 to 2.5)Libya: 9.11% of respondents, -1.7 index (approx. -2.5 to 2.5)Lithuania: 31.7% of respondents, 1.37 index (approx. -2.5 to 2.5)Luxembourg: 31.4% of respondents, 1.76 index (approx. -2.5 to 2.5)Latvia: 22.2% of respondents, 1.09 index (approx. -2.5 to 2.5)Macao SAR, China: 41.4% of respondents, 0.852 index (approx. -2.5 to 2.5)Morocco: 16.5% of respondents, -0.368 index (approx. -2.5 to 2.5)Moldova: 14.1% of respondents, -0.161 index (approx. -2.5 to 2.5)Maldives: 21.1% of respondents, 0.0443 index (approx. -2.5 to 2.5)Mexico: 10.5% of respondents, -1.15 index (approx. -2.5 to 2.5)North Macedonia: 15.1% of respondents, -0.225 index (approx. -2.5 to 2.5)Mali: 14.9% of respondents, -1.09 index (approx. -2.5 to 2.5)Malta: 21.3% of respondents, 0.727 index (approx. -2.5 to 2.5)Myanmar: 15.1% of respondents, -1.81 index (approx. -2.5 to 2.5)Montenegro: 21.7% of respondents, 0.181 index (approx. -2.5 to 2.5)Mongolia: 26% of respondents, -0.0998 index (approx. -2.5 to 2.5)Malaysia: 19.6% of respondents, 0.345 index (approx. -2.5 to 2.5)Nigeria: 13% of respondents, -1.01 index (approx. -2.5 to 2.5)Nicaragua: 4.25% of respondents, -1.62 index (approx. -2.5 to 2.5)Netherlands: 57% of respondents, 1.71 index (approx. -2.5 to 2.5)Norway: 72.1% of respondents, 1.95 index (approx. -2.5 to 2.5)New Zealand: 56.6% of respondents, 1.67 index (approx. -2.5 to 2.5)Pakistan: 23.3% of respondents, -1.02 index (approx. -2.5 to 2.5)Peru: 4.16% of respondents, -0.506 index (approx. -2.5 to 2.5)Philippines: 5.33% of respondents, -0.574 index (approx. -2.5 to 2.5)Poland: 24.1% of respondents, 0.577 index (approx. -2.5 to 2.5)Puerto Rico (US): 17.7% of respondents, 0.546 index (approx. -2.5 to 2.5)Portugal: 16.9% of respondents, 1.07 index (approx. -2.5 to 2.5)West Bank and Gaza: 15.8% of respondents, -0.989 index (approx. -2.5 to 2.5)Qatar: 21.4% of respondents, 0.59 index (approx. -2.5 to 2.5)Romania: 12.1% of respondents, 0.371 index (approx. -2.5 to 2.5)Russian Federation: 22.9% of respondents, -1.16 index (approx. -2.5 to 2.5)Rwanda: 16.6% of respondents, 0.1 index (approx. -2.5 to 2.5)Singapore: 34.4% of respondents, 1.43 index (approx. -2.5 to 2.5)Serbia: 16.3% of respondents, -0.2 index (approx. -2.5 to 2.5)Slovak Republic: 21.6% of respondents, 0.561 index (approx. -2.5 to 2.5)Slovenia: 25.3% of respondents, 0.979 index (approx. -2.5 to 2.5)Sweden: 62.8% of respondents, 1.73 index (approx. -2.5 to 2.5)Thailand: 28.9% of respondents, -0.216 index (approx. -2.5 to 2.5)Tajikistan: 20.6% of respondents, -1.18 index (approx. -2.5 to 2.5)Trinidad and Tobago: 3.2% of respondents, -0.372 index (approx. -2.5 to 2.5)Tunisia: 13.8% of respondents, -0.364 index (approx. -2.5 to 2.5)Turkiye: 14% of respondents, -0.843 index (approx. -2.5 to 2.5)Ukraine: 28.3% of respondents, -0.72 index (approx. -2.5 to 2.5)Uruguay: 14.5% of respondents, 0.951 index (approx. -2.5 to 2.5)United States: 37% of respondents, 0.962 index (approx. -2.5 to 2.5)Uzbekistan: 33.6% of respondents, -0.656 index (approx. -2.5 to 2.5)Viet Nam: 27.7% of respondents, -0.314 index (approx. -2.5 to 2.5)Kosovo: 10.5% of respondents, 0.0521 index (approx. -2.5 to 2.5)South Africa: 23.3% of respondents, 0.0177 index (approx. -2.5 to 2.5)Zambia: 10.8% of respondents, -0.561 index (approx. -2.5 to 2.5)Zimbabwe: 2.14% of respondents, -1.21 index (approx. -2.5 to 2.5)BLRCHNCYPDNKFINHTILBYNICNORPRTURYZWE

best-fit line line after adjusting

Four ways to measure the link

MethodrpCountries
Standard (Pearson), not adjusted+0.6826.1e-16107
By rank (Spearman), not adjusted+0.6391.3e-13107
Standard (Pearson), adjusted for national income+0.4578.4e-7107
By rank (Spearman), adjusted for national income+0.2120.029107

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 107 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: +0.225 (a minus sign means it grew).

How solid is it?

Leaving out one country at a time, r ranges from +0.429 (without FIN) to +0.514 (without CHN). 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: CHN (+0.057).

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 & Pacific15+0.01
Europe & Central Asia49+0.45
Latin America & Caribbean14+0.46
Middle East, North Africa, Afghanistan & Pakistan14+0.53

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 third36+0.11
Middle third35-0.10
Richest third36+0.80

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
Christians62+0.54
Muslims29+0.14

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
Never a European colony15+0.08
Spain12+0.21
United Kingdom25+0.57

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 = +0.424 after dropping 6 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 0years. So a link here can’t come from anything about a country that stays the same, such as its history, geography, institutions or culture.

Not enough history inside each country to look at this over time. That needs countries measured for several years in a row, and at least one of these measures is measured too rarely.

The data


% of respondents

index (approx. -2.5 to 2.5)
Years
Denmark DNK73.9%22022, 2024
Norway NOR72.1%1.952022, 2024
Finland FIN68.4%2.022022, 2024
China CHN63.5%-0.5792022, 2024
Sweden SWE62.8%1.732022, 2024
Iceland ISL62.3%1.632022, 2024
Switzerland CHE58.5%1.762022, 2024
Netherlands NLD57%1.712022, 2024
New Zealand NZL56.6%1.672022, 2024
Austria AUT49.8%1.682022, 2024
Australia AUS48.5%1.472022, 2024
Canada CAN46.7%1.462022, 2024
United Kingdom GBR43.3%1.272022, 2024
Germany DEU41.6%1.632022, 2024
Macao SAR, China MAC41.4%0.8522022, 2024

Haerpfer, C. et al., World Values Survey; EVS, European Values Study
Kaufmann, D. and A. Kraay, Worldwide Governance Indicators, World Bank

Sources

Interpersonal trust

Share agreeing that most people can be trusted

World Values Survey Association and European Values Study · via Our World in Data · Free for non-commercial use with attribution · updated irregular (survey waves, roughly every 5 years)

The share who answer "most people can be trusted" rather than "you can't be too careful". Trust in other people is the classic measure of social ties (social capital). It is only loosely linked to national income. That makes it one of the few measures here where adjusting for GDP is a real test, not a foregone result. The survey runs in waves, not every year. So data for each country are sparse and uneven, and two readings for a country may be five or more years apart.

Rule of law

Rule of Law (estimate)

World Bank · CC BY 4.0 · updated annual

How this was computed

Data used: most recent value in 2010-2025; values come from 2010–2024. 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 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 Interpersonal trust and Rule of law

This page shows that two measures go together. It does not show that Interpersonal trust changes Rule of law, or the reverse. These figures also describe countries, not individual people. See the ecological fallacy.

More links with Interpersonal trust or Rule of law