placestats

Confidence in religious institutions vs. Inequality-adjusted HDI

Fades after adjusting for income

A country is not a person. Countries where more people are counted as belonging to this group also tend to differ on the other measure, and that is all. It does not follow that the people in the group are the people with the different score. Making that leap is called the ecological fallacy: reading a pattern across places as a fact about individual people. It is the most common misuse of this kind of data. Religion also varies strongly with region, history and national income, so much of what looks religious here is really those. That is what the adjusted figures are for. The religion shares are estimates for two years only, and the survey questions are asked in rounds that can be ten years apart.

Across 98 countries, Confidence in religious institutions and Inequality-adjusted HDI rise and fall together at r = -0.58 (on a scale from −1 to +1, where 0 means no link). Comparing only countries with similar income (GDP per person) shrinks it to -0.24, which could easily be chance (q = 0.17, allowing for the many pairs tested, and allowing for countries in the same region being alike). So the first figure mostly shows richer countries differing from poorer ones, not a link between these two things.

Comparing countries across the middle half of confidence in religious institutions, 45.3% to 75.4% of respondents, inequality-adjusted hdi is worse by 0.14 points at the top of that range than the bottom. Comparing only countries with similar national income, the gap is 0.0239 points.

Link before adjusting (r)-0.575p = 5.7e-10 · 98 countries
After adjusting for national income-0.244p = 0.016 · likely range [-0.42, -0.05]
p, allowing for regions0.042standard error 0.095 · 7 regions
Check for luck (q)0.166across 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.

Confidence in religious institutions · % of respondentslink with income -0.57 · moderate
Inequality-adjusted HDI · index, 0 to 1link with income +0.94 · proxy

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

Every country as a dot

Confidence in religious institutions · % of respondents →Inequality-adjusted HDI · index, 0 to 1 →7.91%99.8%0.2730.923Albania: 52.7% of respondents, 0.705 index, 0 to 1Andorra: 28.4% of respondents, 0.837 index, 0 to 1Argentina: 57.9% of respondents, 0.761 index, 0 to 1Armenia: 70.4% of respondents, 0.743 index, 0 to 1Australia: 31.3% of respondents, 0.873 index, 0 to 1Austria: 36.1% of respondents, 0.861 index, 0 to 1Azerbaijan: 69.6% of respondents, 0.735 index, 0 to 1Belgium: 36.2% of respondents, 0.891 index, 0 to 1Burkina Faso: 77.4% of respondents, 0.273 index, 0 to 1Bangladesh: 99.8% of respondents, 0.482 index, 0 to 1Bulgaria: 35.1% of respondents, 0.748 index, 0 to 1Bosnia and Herzegovina: 56.5% of respondents, 0.689 index, 0 to 1Belarus: 58.3% of respondents, 0.771 index, 0 to 1Bolivia: 49% of respondents, 0.578 index, 0 to 1Brazil: 66.9% of respondents, 0.594 index, 0 to 1Canada: 39.6% of respondents, 0.867 index, 0 to 1Switzerland: 33.7% of respondents, 0.894 index, 0 to 1Chile: 44.6% of respondents, 0.723 index, 0 to 1China: 20% of respondents, 0.67 index, 0 to 1Colombia: 55.4% of respondents, 0.593 index, 0 to 1Cyprus: 61.7% of respondents, 0.841 index, 0 to 1Czechia: 22.8% of respondents, 0.867 index, 0 to 1Germany: 31.5% of respondents, 0.89 index, 0 to 1Denmark: 59.1% of respondents, 0.909 index, 0 to 1Algeria: 67.8% of respondents, 0.601 index, 0 to 1Ecuador: 75% of respondents, 0.64 index, 0 to 1Egypt, Arab Rep.: 71.2% of respondents, 0.582 index, 0 to 1Spain: 32.6% of respondents, 0.819 index, 0 to 1Estonia: 34% of respondents, 0.841 index, 0 to 1Ethiopia: 92.2% of respondents, 0.326 index, 0 to 1Finland: 55% of respondents, 0.891 index, 0 to 1France: 38.9% of respondents, 0.836 index, 0 to 1United Kingdom: 36.9% of respondents, 0.869 index, 0 to 1Georgia: 77.4% of respondents, 0.754 index, 0 to 1Ghana: 89.3% of respondents, 0.399 index, 0 to 1Greece: 65.4% of respondents, 0.825 index, 0 to 1Guatemala: 70.5% of respondents, 0.479 index, 0 to 1Hong Kong SAR, China: 53.2% of respondents, 0.839 index, 0 to 1Croatia: 37.2% of respondents, 0.828 index, 0 to 1Haiti: 9.28% of respondents, 0.337 index, 0 to 1Hungary: 40.1% of respondents, 0.819 index, 0 to 1Indonesia: 98.3% of respondents, 0.608 index, 0 to 1India: 89.1% of respondents, 0.475 index, 0 to 1Ireland: 52% of respondents, 0.886 index, 0 to 1Iran, Islamic Rep.: 78.1% of respondents, 0.643 index, 0 to 1Iraq: 54.1% of respondents, 0.534 index, 0 to 1Iceland: 47.3% of respondents, 0.923 index, 0 to 1Italy: 52.6% of respondents, 0.817 index, 0 to 1Jordan: 67.3% of respondents, 0.637 index, 0 to 1Japan: 7.91% of respondents, 0.845 index, 0 to 1Kazakhstan: 79% of respondents, 0.766 index, 0 to 1Kenya: 79.4% of respondents, 0.456 index, 0 to 1Kyrgyz Republic: 77.6% of respondents, 0.649 index, 0 to 1Korea, Rep.: 51.7% of respondents, 0.857 index, 0 to 1Lithuania: 68.1% of respondents, 0.812 index, 0 to 1Luxembourg: 42.1% of respondents, 0.838 index, 0 to 1Latvia: 47.9% of respondents, 0.812 index, 0 to 1Morocco: 65.3% of respondents, 0.517 index, 0 to 1Moldova: 77.3% of respondents, 0.719 index, 0 to 1Maldives: 75.6% of respondents, 0.602 index, 0 to 1Mexico: 61.7% of respondents, 0.646 index, 0 to 1North Macedonia: 74.4% of respondents, 0.723 index, 0 to 1Mali: 90% of respondents, 0.281 index, 0 to 1Malta: 76.3% of respondents, 0.843 index, 0 to 1Myanmar: 84.1% of respondents, 0.477 index, 0 to 1Montenegro: 79.6% of respondents, 0.771 index, 0 to 1Mongolia: 21.8% of respondents, 0.647 index, 0 to 1Malaysia: 84.9% of respondents, 0.707 index, 0 to 1Nigeria: 88.2% of respondents, 0.379 index, 0 to 1Nicaragua: 67.3% of respondents, 0.535 index, 0 to 1Netherlands: 22.1% of respondents, 0.892 index, 0 to 1Norway: 50.2% of respondents, 0.909 index, 0 to 1New Zealand: 35.9% of respondents, 0.853 index, 0 to 1Pakistan: 97.2% of respondents, 0.364 index, 0 to 1Peru: 60.9% of respondents, 0.633 index, 0 to 1Philippines: 92.2% of respondents, 0.597 index, 0 to 1Poland: 55.2% of respondents, 0.817 index, 0 to 1Portugal: 59.6% of respondents, 0.795 index, 0 to 1West Bank and Gaza: 68.1% of respondents, 0.538 index, 0 to 1Romania: 69.3% of respondents, 0.758 index, 0 to 1Russian Federation: 58.4% of respondents, 0.758 index, 0 to 1Rwanda: 60.2% of respondents, 0.399 index, 0 to 1Singapore: 58.3% of respondents, 0.823 index, 0 to 1Serbia: 55.7% of respondents, 0.772 index, 0 to 1Slovak Republic: 49.8% of respondents, 0.833 index, 0 to 1Slovenia: 22.5% of respondents, 0.885 index, 0 to 1Sweden: 47.4% of respondents, 0.886 index, 0 to 1Thailand: 69.9% of respondents, 0.677 index, 0 to 1Tajikistan: 76.4% of respondents, 0.594 index, 0 to 1Tunisia: 48.5% of respondents, 0.595 index, 0 to 1Turkiye: 70.4% of respondents, 0.708 index, 0 to 1Ukraine: 65.9% of respondents, 0.715 index, 0 to 1Uruguay: 37.4% of respondents, 0.747 index, 0 to 1United States: 53.1% of respondents, 0.832 index, 0 to 1Viet Nam: 89.3% of respondents, 0.641 index, 0 to 1South Africa: 77% of respondents, 0.476 index, 0 to 1Zambia: 86.3% of respondents, 0.361 index, 0 to 1Zimbabwe: 68.3% of respondents, 0.406 index, 0 to 1CHNETHHTIJPNKAZMLIMLTMNEMNGNLDPAKSVN

best-fit line line after adjusting

Four ways to measure the link

MethodrpCountries
Standard (Pearson), not adjusted-0.5755.7e-1098
By rank (Spearman), not adjusted-0.6448.0e-1398
Standard (Pearson), adjusted for national income-0.2440.01698
By rank (Spearman), adjusted for national income-0.2250.02698

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 98 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: +0.332 (a minus sign means it grew).

How solid is it?

Leaving out one country at a time, r ranges from -0.268 (without HTI) to -0.220 (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: HTI (-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 & Pacific14-0.42
Europe & Central Asia47-0.36
Latin America & Caribbean12-0.20

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 third33-0.23
Middle third32-0.05
Richest third33-0.32

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
Christians60-0.16
Muslims23-0.35

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 colony14+0.02
Spain12+0.11
United Kingdom21-0.59

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 = -0.244 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 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, 0 to 1
Years
Bangladesh BGD99.8%0.4822022, 2023
Indonesia IDN98.3%0.6082022, 2023
Pakistan PAK97.2%0.3642022, 2023
Ethiopia ETH92.2%0.3262022, 2023
Philippines PHL92.2%0.5972022, 2023
Mali MLI90%0.2812010, 2023
Viet Nam VNM89.3%0.6412022, 2023
Ghana GHA89.3%0.3992014, 2023
India IND89.1%0.4752022, 2023
Nigeria NGA88.2%0.3792022, 2023
Zambia ZMB86.3%0.3612010, 2023
Malaysia MYS84.9%0.7072022, 2023
Myanmar MMR84.1%0.4772022, 2023
Montenegro MNE79.6%0.7712022, 2023
Kenya KEN79.4%0.4562022, 2023

Haerpfer, C. et al., World Values Survey; EVS, European Values Study
United Nations Development Programme, Human Development Report 2025

Sources

Confidence in religious institutions

Share with confidence in churches and religious organisations

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)

"A great deal" or "quite a lot" of confidence, as against "not very much" or "none". Confidence in an institution is not belief in what it teaches. The gap between this and the importance of religion shows how far religious people trust their clergy. No "better" direction is set.

Inequality-adjusted HDI

Inequality-adjusted Human Development Index

United Nations Development Programme, Human Development Report Office · via Our World in Data · CC BY 3.0 IGO · updated annual · comparable from 2010 only

The HDI marked down for how unequally each of its three parts is spread within the country. The gap between this and the HDI is what inequality costs, and that is the number worth reading. The level itself is the HDI again, with its parts flagged the same way.

How this was computed

Data used: most recent value in 2010-2025; values come from 2010–2023. 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 Confidence in religious institutions and Inequality-adjusted HDI

This page shows that two measures go together. It does not show that Confidence in religious institutions changes Inequality-adjusted HDI, or the reverse. These figures also describe countries, not individual people. See the ecological fallacy.

More links with Confidence in religious institutions or Inequality-adjusted HDI