placestats

Governance score vs. Inequality-adjusted HDI

Fades after adjusting for income

Across 157 countries, Governance score 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 +0.13, which could easily be chance (q = 0.52, 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 inequality-adjusted hdi, 0.423 to 0.795 points, governance score is better by 0.921 typical gaps at the top of that range than the bottom. Comparing only countries with similar national income, the gap is 0.515 typical gaps.

Link before adjusting (r)+0.579p = 1.9e-15 · 157 countries
After adjusting for national income+0.130p = 0.106 · likely range [-0.03, +0.28]
p, allowing for regions0.263standard error 0.105 · 7 regions
Check for luck (q)0.523across 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.

Governance score · typical gaps (standard deviations)link with income +0.53 · 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

Governance score · typical gaps (standard deviations) →Inequality-adjusted HDI · index, 0 to 1 →-1.41.470.2290.923Afghanistan: -1.4 typical gaps (standard deviations), 0.321 index, 0 to 1Angola: -0.522 typical gaps (standard deviations), 0.36 index, 0 to 1Albania: 0.323 typical gaps (standard deviations), 0.705 index, 0 to 1Andorra: 0.558 typical gaps (standard deviations), 0.837 index, 0 to 1United Arab Emirates: -0.981 typical gaps (standard deviations), 0.866 index, 0 to 1Argentina: 0.815 typical gaps (standard deviations), 0.761 index, 0 to 1Armenia: 0.22 typical gaps (standard deviations), 0.743 index, 0 to 1Australia: 1.38 typical gaps (standard deviations), 0.873 index, 0 to 1Austria: 1.33 typical gaps (standard deviations), 0.861 index, 0 to 1Azerbaijan: -1.33 typical gaps (standard deviations), 0.735 index, 0 to 1Burundi: -1.09 typical gaps (standard deviations), 0.286 index, 0 to 1Belgium: 1.41 typical gaps (standard deviations), 0.891 index, 0 to 1Benin: 0.285 typical gaps (standard deviations), 0.316 index, 0 to 1Burkina Faso: -0.784 typical gaps (standard deviations), 0.273 index, 0 to 1Bangladesh: -0.359 typical gaps (standard deviations), 0.482 index, 0 to 1Bulgaria: 0.74 typical gaps (standard deviations), 0.748 index, 0 to 1Bosnia and Herzegovina: 0.0899 typical gaps (standard deviations), 0.689 index, 0 to 1Belarus: -1.26 typical gaps (standard deviations), 0.771 index, 0 to 1Bolivia: 0.552 typical gaps (standard deviations), 0.578 index, 0 to 1Brazil: 0.85 typical gaps (standard deviations), 0.594 index, 0 to 1Barbados: 1.24 typical gaps (standard deviations), 0.62 index, 0 to 1Bhutan: 0.61 typical gaps (standard deviations), 0.478 index, 0 to 1Botswana: 0.872 typical gaps (standard deviations), 0.509 index, 0 to 1Central African Republic: -1.02 typical gaps (standard deviations), 0.253 index, 0 to 1Canada: 1.36 typical gaps (standard deviations), 0.867 index, 0 to 1Switzerland: 1.47 typical gaps (standard deviations), 0.894 index, 0 to 1Chile: 1.32 typical gaps (standard deviations), 0.723 index, 0 to 1China: -1.2 typical gaps (standard deviations), 0.67 index, 0 to 1Cote d'Ivoire: -0.116 typical gaps (standard deviations), 0.35 index, 0 to 1Cameroon: -0.834 typical gaps (standard deviations), 0.361 index, 0 to 1Congo, Dem. Rep.: -0.824 typical gaps (standard deviations), 0.341 index, 0 to 1Congo, Rep.: -0.925 typical gaps (standard deviations), 0.426 index, 0 to 1Colombia: 0.733 typical gaps (standard deviations), 0.593 index, 0 to 1Comoros: -0.464 typical gaps (standard deviations), 0.356 index, 0 to 1Cabo Verde: 1.15 typical gaps (standard deviations), 0.478 index, 0 to 1Costa Rica: 1.34 typical gaps (standard deviations), 0.678 index, 0 to 1Cyprus: 1.1 typical gaps (standard deviations), 0.841 index, 0 to 1Czechia: 1.31 typical gaps (standard deviations), 0.867 index, 0 to 1Germany: 1.36 typical gaps (standard deviations), 0.89 index, 0 to 1Djibouti: -0.784 typical gaps (standard deviations), 0.341 index, 0 to 1Denmark: 1.47 typical gaps (standard deviations), 0.909 index, 0 to 1Dominican Republic: 0.621 typical gaps (standard deviations), 0.634 index, 0 to 1Algeria: -0.695 typical gaps (standard deviations), 0.601 index, 0 to 1Ecuador: 0.447 typical gaps (standard deviations), 0.64 index, 0 to 1Egypt, Arab Rep.: -0.987 typical gaps (standard deviations), 0.582 index, 0 to 1Spain: 1.32 typical gaps (standard deviations), 0.819 index, 0 to 1Estonia: 1.41 typical gaps (standard deviations), 0.841 index, 0 to 1Ethiopia: -0.741 typical gaps (standard deviations), 0.326 index, 0 to 1Finland: 1.38 typical gaps (standard deviations), 0.891 index, 0 to 1Fiji: 0.57 typical gaps (standard deviations), 0.626 index, 0 to 1France: 1.24 typical gaps (standard deviations), 0.836 index, 0 to 1Gabon: -0.529 typical gaps (standard deviations), 0.558 index, 0 to 1United Kingdom: 1.27 typical gaps (standard deviations), 0.869 index, 0 to 1Georgia: 0.0179 typical gaps (standard deviations), 0.754 index, 0 to 1Ghana: 0.845 typical gaps (standard deviations), 0.399 index, 0 to 1Guinea: -0.676 typical gaps (standard deviations), 0.302 index, 0 to 1Gambia, The: 0.362 typical gaps (standard deviations), 0.329 index, 0 to 1Guinea-Bissau: -0.465 typical gaps (standard deviations), 0.331 index, 0 to 1Greece: 0.914 typical gaps (standard deviations), 0.825 index, 0 to 1Guatemala: 0.291 typical gaps (standard deviations), 0.479 index, 0 to 1Hong Kong SAR, China: -0.536 typical gaps (standard deviations), 0.839 index, 0 to 1Honduras: 0.146 typical gaps (standard deviations), 0.496 index, 0 to 1Croatia: 0.865 typical gaps (standard deviations), 0.828 index, 0 to 1Haiti: -0.66 typical gaps (standard deviations), 0.337 index, 0 to 1Hungary: 0.225 typical gaps (standard deviations), 0.819 index, 0 to 1Indonesia: 0.125 typical gaps (standard deviations), 0.608 index, 0 to 1India: 0.146 typical gaps (standard deviations), 0.475 index, 0 to 1Ireland: 1.41 typical gaps (standard deviations), 0.886 index, 0 to 1Iran, Islamic Rep.: -1.26 typical gaps (standard deviations), 0.643 index, 0 to 1Iraq: -0.488 typical gaps (standard deviations), 0.534 index, 0 to 1Iceland: 1.32 typical gaps (standard deviations), 0.923 index, 0 to 1Israel: 0.783 typical gaps (standard deviations), 0.813 index, 0 to 1Italy: 1 typical gaps (standard deviations), 0.817 index, 0 to 1Jamaica: 1.01 typical gaps (standard deviations), 0.59 index, 0 to 1Jordan: -0.271 typical gaps (standard deviations), 0.637 index, 0 to 1Japan: 1.28 typical gaps (standard deviations), 0.845 index, 0 to 1Kazakhstan: -0.796 typical gaps (standard deviations), 0.766 index, 0 to 1Kenya: 0.217 typical gaps (standard deviations), 0.456 index, 0 to 1Kyrgyz Republic: -0.725 typical gaps (standard deviations), 0.649 index, 0 to 1Cambodia: -1.01 typical gaps (standard deviations), 0.444 index, 0 to 1Korea, Rep.: 1.05 typical gaps (standard deviations), 0.857 index, 0 to 1Lao PDR: -1.14 typical gaps (standard deviations), 0.462 index, 0 to 1Liberia: 0.416 typical gaps (standard deviations), 0.326 index, 0 to 1St. Lucia: 0.552 typical gaps (standard deviations), 0.523 index, 0 to 1Sri Lanka: 0.602 typical gaps (standard deviations), 0.63 index, 0 to 1Lesotho: 0.671 typical gaps (standard deviations), 0.357 index, 0 to 1Lithuania: 1.14 typical gaps (standard deviations), 0.812 index, 0 to 1Luxembourg: 1.38 typical gaps (standard deviations), 0.838 index, 0 to 1Latvia: 1.22 typical gaps (standard deviations), 0.812 index, 0 to 1Morocco: -0.351 typical gaps (standard deviations), 0.517 index, 0 to 1Moldova: 0.5 typical gaps (standard deviations), 0.719 index, 0 to 1Madagascar: -0.193 typical gaps (standard deviations), 0.319 index, 0 to 1Maldives: 0.0802 typical gaps (standard deviations), 0.602 index, 0 to 1Mexico: 0.134 typical gaps (standard deviations), 0.646 index, 0 to 1North Macedonia: 0.352 typical gaps (standard deviations), 0.723 index, 0 to 1Mali: -0.753 typical gaps (standard deviations), 0.281 index, 0 to 1Malta: 1.12 typical gaps (standard deviations), 0.843 index, 0 to 1Myanmar: -1.39 typical gaps (standard deviations), 0.477 index, 0 to 1Montenegro: 0.55 typical gaps (standard deviations), 0.771 index, 0 to 1Mongolia: 0.716 typical gaps (standard deviations), 0.647 index, 0 to 1Mozambique: -0.298 typical gaps (standard deviations), 0.297 index, 0 to 1Mauritania: -0.421 typical gaps (standard deviations), 0.374 index, 0 to 1Mauritius: 1.07 typical gaps (standard deviations), 0.669 index, 0 to 1Malawi: 0.576 typical gaps (standard deviations), 0.365 index, 0 to 1Malaysia: 0.169 typical gaps (standard deviations), 0.707 index, 0 to 1Namibia: 0.69 typical gaps (standard deviations), 0.438 index, 0 to 1Niger: -0.548 typical gaps (standard deviations), 0.265 index, 0 to 1Nigeria: -0.0132 typical gaps (standard deviations), 0.379 index, 0 to 1Nicaragua: -1.24 typical gaps (standard deviations), 0.535 index, 0 to 1Netherlands: 1.32 typical gaps (standard deviations), 0.892 index, 0 to 1Norway: 1.43 typical gaps (standard deviations), 0.909 index, 0 to 1Nepal: 0.441 typical gaps (standard deviations), 0.437 index, 0 to 1New Zealand: 1.32 typical gaps (standard deviations), 0.853 index, 0 to 1Oman: -0.665 typical gaps (standard deviations), 0.75 index, 0 to 1Pakistan: -0.437 typical gaps (standard deviations), 0.364 index, 0 to 1Panama: 0.84 typical gaps (standard deviations), 0.664 index, 0 to 1Peru: 0.522 typical gaps (standard deviations), 0.633 index, 0 to 1Philippines: 0.0585 typical gaps (standard deviations), 0.597 index, 0 to 1Papua New Guinea: 0.227 typical gaps (standard deviations), 0.423 index, 0 to 1Poland: 0.996 typical gaps (standard deviations), 0.817 index, 0 to 1Portugal: 1.26 typical gaps (standard deviations), 0.795 index, 0 to 1Paraguay: 0.349 typical gaps (standard deviations), 0.599 index, 0 to 1Romania: 0.749 typical gaps (standard deviations), 0.758 index, 0 to 1Russian Federation: -1.14 typical gaps (standard deviations), 0.758 index, 0 to 1Rwanda: -0.868 typical gaps (standard deviations), 0.399 index, 0 to 1Sudan: -1.22 typical gaps (standard deviations), 0.328 index, 0 to 1Senegal: 0.683 typical gaps (standard deviations), 0.34 index, 0 to 1Singapore: 0.0449 typical gaps (standard deviations), 0.823 index, 0 to 1Solomon Islands: 0.697 typical gaps (standard deviations), 0.483 index, 0 to 1Sierra Leone: 0.299 typical gaps (standard deviations), 0.281 index, 0 to 1El Salvador: -0.352 typical gaps (standard deviations), 0.555 index, 0 to 1Somalia, Fed. Rep.: -1.01 typical gaps (standard deviations), 0.229 index, 0 to 1Serbia: -0.0738 typical gaps (standard deviations), 0.772 index, 0 to 1Sao Tome and Principe: 0.8 typical gaps (standard deviations), 0.478 index, 0 to 1Slovak Republic: 1.02 typical gaps (standard deviations), 0.833 index, 0 to 1Slovenia: 1.19 typical gaps (standard deviations), 0.885 index, 0 to 1Sweden: 1.42 typical gaps (standard deviations), 0.886 index, 0 to 1Eswatini: -1.05 typical gaps (standard deviations), 0.431 index, 0 to 1Seychelles: 0.975 typical gaps (standard deviations), 0.755 index, 0 to 1Syrian Arab Republic: -1.05 typical gaps (standard deviations), 0.419 index, 0 to 1Chad: -0.999 typical gaps (standard deviations), 0.252 index, 0 to 1Togo: -0.371 typical gaps (standard deviations), 0.363 index, 0 to 1Thailand: -0.383 typical gaps (standard deviations), 0.677 index, 0 to 1Tajikistan: -1.34 typical gaps (standard deviations), 0.594 index, 0 to 1Timor-Leste: 0.779 typical gaps (standard deviations), 0.451 index, 0 to 1Tunisia: -0.257 typical gaps (standard deviations), 0.595 index, 0 to 1Turkiye: -0.691 typical gaps (standard deviations), 0.708 index, 0 to 1Tanzania: -0.315 typical gaps (standard deviations), 0.391 index, 0 to 1Uganda: -0.646 typical gaps (standard deviations), 0.4 index, 0 to 1Ukraine: -0.0525 typical gaps (standard deviations), 0.715 index, 0 to 1Uruguay: 1.39 typical gaps (standard deviations), 0.747 index, 0 to 1United States: 0.998 typical gaps (standard deviations), 0.832 index, 0 to 1Viet Nam: -0.933 typical gaps (standard deviations), 0.641 index, 0 to 1Vanuatu: 0.885 typical gaps (standard deviations), 0.521 index, 0 to 1South Africa: 0.883 typical gaps (standard deviations), 0.476 index, 0 to 1Zambia: 0.212 typical gaps (standard deviations), 0.361 index, 0 to 1Zimbabwe: -0.609 typical gaps (standard deviations), 0.406 index, 0 to 1AFGAREAZEBLRCAFCHEDNKGHALSONORSENSOM

best-fit line line after adjusting

Four ways to measure the link

MethodrpCountries
Standard (Pearson), not adjusted+0.5791.9e-15157
By rank (Spearman), not adjusted+0.6141.3e-17157
Standard (Pearson), adjusted for national income+0.1300.106157
By rank (Spearman), adjusted for national income+0.1250.120157

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 157 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: +0.450 (a minus sign means it grew).

How solid is it?

Leaving out one country at a time, r ranges from +0.103 (without SLB) to +0.159 (without TJK). 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: TJK (+0.030).

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 Asia47+0.49
Latin America & Caribbean21+0.15
Middle East, North Africa, Afghanistan & Pakistan15+0.01
Sub-Saharan Africa45+0.26

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 third53+0.06
Middle third52-0.14
Richest third52+0.43

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
Christians96+0.17
Muslims39-0.39

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
France24-0.20
Never a European colony18+0.03
Spain18+0.15
United Kingdom44+0.16

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 = +0.130 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


typical gaps (standard deviations)

index, 0 to 1
Years
Denmark DNK1.470.9092025, 2023
Switzerland CHE1.470.8942025, 2023
Norway NOR1.430.9092025, 2023
Sweden SWE1.420.8862025, 2023
Ireland IRL1.410.8862025, 2023
Belgium BEL1.410.8912025, 2023
Estonia EST1.410.8412025, 2023
Uruguay URY1.390.7472025, 2023
Finland FIN1.380.8912025, 2023
Australia AUS1.380.8732025, 2023
Luxembourg LUX1.380.8382025, 2023
Germany DEU1.360.892025, 2023
Canada CAN1.360.8672025, 2023
Costa Rica CRI1.340.6782025, 2023
Austria AUT1.330.8612025, 2023

fh; un_sdg; vdem; wdi; wgi
United Nations Development Programme, Human Development Report 2025

Sources

Governance score

Governance score

PlaceStats · via PlaceStats · Derived work; each member keeps its own licence · updated recomputed with the panel

The average of 19 measures from 5 publishers. Each measure is first put on a common scale: 0 is the average country in an average year, and 1 is a typical gap between countries (a standard deviation). Each is turned so that higher is better. Measures are averaged within each publisher first, so a publisher with many measures does not count for more. Members: Civil liberties (FH), Political rights (FH), Pre-trial detainee share, Civil society participation, Political corruption, Electoral democracy, Freedom of association, Freedom of expression, Free and fair elections, Liberal democracy, Participatory democracy, Political civil liberties, Birth registration, Control of corruption, Government effectiveness, Political stability, Rule of law, Regulatory quality, Voice and accountability.

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 2012–2025. 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 Governance score and Inequality-adjusted HDI

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

More links with Governance score or Inequality-adjusted HDI