placestats

Equality score vs. Freedom of expression

Holds up after adjusting for income

Across 152 countries, Equality score and Freedom of expression rise and fall together at r = +0.10 (on a scale from −1 to +1, where 0 means no link). Comparing only countries with similar income (GDP per person) flips the link to -0.17 (q = 0.041, allowing for the many pairs tested). The first figure pointed the other way only as richer and poorer countries differ.

Comparing countries across the middle half of freedom of expression, 0.513 to 0.85 points, equality score is better by 0.101 typical gaps at the top of that range than the bottom. Comparing only countries with similar national income, the gap reverses, to 0.127 typical gaps the other way.

Link before adjusting (r)+0.101p = 0.217 · 152 countries
After adjusting for national income-0.166p = 0.042 · likely range [-0.32, -0.01]
p, allowing for regions0.154standard error 0.102 · 7 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.

Equality score · typical gaps (standard deviations)link with income +0.64 · high
Freedom of expression · index (0-1)link with income +0.36 · moderate

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

Every country as a dot

Equality score · typical gaps (standard deviations) →Freedom of expression · index (0-1) →-2.511.060.0180.98Angola: -1.52 typical gaps (standard deviations), 0.497 index (0-1)Albania: 0.741 typical gaps (standard deviations), 0.673 index (0-1)United Arab Emirates: 0.921 typical gaps (standard deviations), 0.063 index (0-1)Argentina: -0.0236 typical gaps (standard deviations), 0.736 index (0-1)Armenia: 0.843 typical gaps (standard deviations), 0.732 index (0-1)Australia: 0.473 typical gaps (standard deviations), 0.915 index (0-1)Austria: 0.632 typical gaps (standard deviations), 0.918 index (0-1)Burundi: -1.63 typical gaps (standard deviations), 0.164 index (0-1)Belgium: 0.895 typical gaps (standard deviations), 0.969 index (0-1)Benin: -0.24 typical gaps (standard deviations), 0.676 index (0-1)Burkina Faso: -0.796 typical gaps (standard deviations), 0.261 index (0-1)Bangladesh: 0.51 typical gaps (standard deviations), 0.527 index (0-1)Bulgaria: 0.143 typical gaps (standard deviations), 0.754 index (0-1)Bosnia and Herzegovina: 0.689 typical gaps (standard deviations), 0.653 index (0-1)Belarus: 1.04 typical gaps (standard deviations), 0.025 index (0-1)Bolivia: 0.0341 typical gaps (standard deviations), 0.68 index (0-1)Brazil: -0.529 typical gaps (standard deviations), 0.91 index (0-1)Barbados: 0.435 typical gaps (standard deviations), 0.911 index (0-1)Bhutan: 0.8 typical gaps (standard deviations), 0.682 index (0-1)Botswana: -1.27 typical gaps (standard deviations), 0.798 index (0-1)Central African Republic: -1.88 typical gaps (standard deviations), 0.613 index (0-1)Canada: 0.62 typical gaps (standard deviations), 0.933 index (0-1)Switzerland: 0.491 typical gaps (standard deviations), 0.967 index (0-1)Chile: -0.0426 typical gaps (standard deviations), 0.926 index (0-1)China: 0.37 typical gaps (standard deviations), 0.045 index (0-1)Cote d'Ivoire: -0.126 typical gaps (standard deviations), 0.681 index (0-1)Cameroon: -0.674 typical gaps (standard deviations), 0.532 index (0-1)Congo, Dem. Rep.: -2.33 typical gaps (standard deviations), 0.599 index (0-1)Congo, Rep.: -1.38 typical gaps (standard deviations), 0.373 index (0-1)Colombia: -0.906 typical gaps (standard deviations), 0.81 index (0-1)Comoros: 0.565 typical gaps (standard deviations), 0.498 index (0-1)Cabo Verde: -0.374 typical gaps (standard deviations), 0.857 index (0-1)Costa Rica: -0.196 typical gaps (standard deviations), 0.915 index (0-1)Cyprus: 0.611 typical gaps (standard deviations), 0.812 index (0-1)Czechia: 0.961 typical gaps (standard deviations), 0.947 index (0-1)Germany: 0.484 typical gaps (standard deviations), 0.914 index (0-1)Djibouti: -0.607 typical gaps (standard deviations), 0.336 index (0-1)Denmark: 0.709 typical gaps (standard deviations), 0.98 index (0-1)Dominican Republic: 0.177 typical gaps (standard deviations), 0.901 index (0-1)Algeria: 0.852 typical gaps (standard deviations), 0.367 index (0-1)Ecuador: -0.286 typical gaps (standard deviations), 0.706 index (0-1)Egypt, Arab Rep.: 0.764 typical gaps (standard deviations), 0.179 index (0-1)Spain: 0.498 typical gaps (standard deviations), 0.843 index (0-1)Estonia: 0.666 typical gaps (standard deviations), 0.969 index (0-1)Ethiopia: -0.344 typical gaps (standard deviations), 0.285 index (0-1)Finland: 0.858 typical gaps (standard deviations), 0.946 index (0-1)Fiji: 0.553 typical gaps (standard deviations), 0.724 index (0-1)France: 0.608 typical gaps (standard deviations), 0.959 index (0-1)Gabon: 0.157 typical gaps (standard deviations), 0.748 index (0-1)United Kingdom: 0.566 typical gaps (standard deviations), 0.833 index (0-1)Georgia: 0.382 typical gaps (standard deviations), 0.687 index (0-1)Ghana: -1.07 typical gaps (standard deviations), 0.896 index (0-1)Guinea: 0.435 typical gaps (standard deviations), 0.56 index (0-1)Gambia, The: -0.358 typical gaps (standard deviations), 0.814 index (0-1)Guinea-Bissau: -0.509 typical gaps (standard deviations), 0.552 index (0-1)Equatorial Guinea: -0.000739 typical gaps (standard deviations), 0.112 index (0-1)Greece: 0.503 typical gaps (standard deviations), 0.81 index (0-1)Guatemala: -0.409 typical gaps (standard deviations), 0.839 index (0-1)Honduras: -0.592 typical gaps (standard deviations), 0.861 index (0-1)Croatia: 0.701 typical gaps (standard deviations), 0.743 index (0-1)Haiti: -0.964 typical gaps (standard deviations), 0.799 index (0-1)Hungary: 0.656 typical gaps (standard deviations), 0.493 index (0-1)Indonesia: 0.358 typical gaps (standard deviations), 0.688 index (0-1)India: 0.836 typical gaps (standard deviations), 0.458 index (0-1)Ireland: 0.769 typical gaps (standard deviations), 0.97 index (0-1)Iran, Islamic Rep.: 0.311 typical gaps (standard deviations), 0.166 index (0-1)Iraq: 0.713 typical gaps (standard deviations), 0.571 index (0-1)Iceland: 0.895 typical gaps (standard deviations), 0.846 index (0-1)Israel: 0.227 typical gaps (standard deviations), 0.822 index (0-1)Italy: 0.444 typical gaps (standard deviations), 0.756 index (0-1)Jamaica: 0.11 typical gaps (standard deviations), 0.919 index (0-1)Jordan: 0.499 typical gaps (standard deviations), 0.556 index (0-1)Japan: 0.551 typical gaps (standard deviations), 0.847 index (0-1)Kazakhstan: 0.76 typical gaps (standard deviations), 0.329 index (0-1)Kenya: -0.947 typical gaps (standard deviations), 0.9 index (0-1)Kyrgyz Republic: 0.801 typical gaps (standard deviations), 0.469 index (0-1)Korea, Rep.: 0.545 typical gaps (standard deviations), 0.933 index (0-1)Lao PDR: 0.261 typical gaps (standard deviations), 0.032 index (0-1)Lebanon: 0.249 typical gaps (standard deviations), 0.744 index (0-1)Liberia: -0.456 typical gaps (standard deviations), 0.836 index (0-1)Sri Lanka: 0.202 typical gaps (standard deviations), 0.871 index (0-1)Lesotho: -1.22 typical gaps (standard deviations), 0.728 index (0-1)Lithuania: 0.341 typical gaps (standard deviations), 0.917 index (0-1)Luxembourg: 0.505 typical gaps (standard deviations), 0.957 index (0-1)Latvia: 0.474 typical gaps (standard deviations), 0.932 index (0-1)Morocco: 0.0733 typical gaps (standard deviations), 0.579 index (0-1)Moldova: 0.895 typical gaps (standard deviations), 0.652 index (0-1)Madagascar: -1.46 typical gaps (standard deviations), 0.635 index (0-1)Maldives: 0.754 typical gaps (standard deviations), 0.695 index (0-1)Mexico: -0.0506 typical gaps (standard deviations), 0.619 index (0-1)North Macedonia: 0.413 typical gaps (standard deviations), 0.664 index (0-1)Mali: -0.544 typical gaps (standard deviations), 0.49 index (0-1)Malta: 0.6 typical gaps (standard deviations), 0.829 index (0-1)Myanmar: 0.408 typical gaps (standard deviations), 0.026 index (0-1)Montenegro: 0.403 typical gaps (standard deviations), 0.853 index (0-1)Mongolia: 0.623 typical gaps (standard deviations), 0.771 index (0-1)Mozambique: -2.51 typical gaps (standard deviations), 0.518 index (0-1)Mauritania: 0.336 typical gaps (standard deviations), 0.628 index (0-1)Mauritius: 0.311 typical gaps (standard deviations), 0.887 index (0-1)Malawi: -1.72 typical gaps (standard deviations), 0.754 index (0-1)Malaysia: 0.0997 typical gaps (standard deviations), 0.586 index (0-1)Namibia: -1.55 typical gaps (standard deviations), 0.859 index (0-1)Niger: -1.01 typical gaps (standard deviations), 0.756 index (0-1)Nigeria: -0.587 typical gaps (standard deviations), 0.849 index (0-1)Nicaragua: -0.386 typical gaps (standard deviations), 0.018 index (0-1)Netherlands: 0.958 typical gaps (standard deviations), 0.91 index (0-1)Norway: 0.91 typical gaps (standard deviations), 0.953 index (0-1)Nepal: 0.652 typical gaps (standard deviations), 0.813 index (0-1)Pakistan: -0.0796 typical gaps (standard deviations), 0.559 index (0-1)Panama: -0.497 typical gaps (standard deviations), 0.812 index (0-1)Peru: 0.00275 typical gaps (standard deviations), 0.763 index (0-1)Philippines: 0.0435 typical gaps (standard deviations), 0.676 index (0-1)Poland: 0.795 typical gaps (standard deviations), 0.917 index (0-1)Portugal: 0.48 typical gaps (standard deviations), 0.899 index (0-1)Paraguay: -0.155 typical gaps (standard deviations), 0.751 index (0-1)Qatar: 0.421 typical gaps (standard deviations), 0.055 index (0-1)Romania: 0.708 typical gaps (standard deviations), 0.777 index (0-1)Russian Federation: 0.539 typical gaps (standard deviations), 0.08 index (0-1)Rwanda: -0.82 typical gaps (standard deviations), 0.17 index (0-1)Sudan: 0.213 typical gaps (standard deviations), 0.289 index (0-1)Senegal: -0.103 typical gaps (standard deviations), 0.82 index (0-1)Solomon Islands: -0.732 typical gaps (standard deviations), 0.84 index (0-1)Sierra Leone: -0.683 typical gaps (standard deviations), 0.823 index (0-1)El Salvador: 0.0329 typical gaps (standard deviations), 0.356 index (0-1)Serbia: 0.525 typical gaps (standard deviations), 0.424 index (0-1)Sao Tome and Principe: -0.235 typical gaps (standard deviations), 0.793 index (0-1)Suriname: 0.129 typical gaps (standard deviations), 0.891 index (0-1)Slovak Republic: 1.06 typical gaps (standard deviations), 0.765 index (0-1)Slovenia: 1.02 typical gaps (standard deviations), 0.691 index (0-1)Sweden: 0.734 typical gaps (standard deviations), 0.946 index (0-1)Eswatini: -1.85 typical gaps (standard deviations), 0.113 index (0-1)Seychelles: 0.575 typical gaps (standard deviations), 0.874 index (0-1)Syrian Arab Republic: 0.457 typical gaps (standard deviations), 0.358 index (0-1)Chad: -0.729 typical gaps (standard deviations), 0.427 index (0-1)Togo: -0.634 typical gaps (standard deviations), 0.579 index (0-1)Thailand: 0.525 typical gaps (standard deviations), 0.587 index (0-1)Tajikistan: 0.207 typical gaps (standard deviations), 0.043 index (0-1)Timor-Leste: -0.345 typical gaps (standard deviations), 0.838 index (0-1)Tunisia: 0.484 typical gaps (standard deviations), 0.687 index (0-1)Turkiye: -0.0777 typical gaps (standard deviations), 0.179 index (0-1)Tanzania: -1.21 typical gaps (standard deviations), 0.552 index (0-1)Uganda: -1.56 typical gaps (standard deviations), 0.432 index (0-1)Ukraine: 0.967 typical gaps (standard deviations), 0.418 index (0-1)Uruguay: 0.135 typical gaps (standard deviations), 0.931 index (0-1)United States: 0.00824 typical gaps (standard deviations), 0.729 index (0-1)Uzbekistan: 0.5 typical gaps (standard deviations), 0.234 index (0-1)Viet Nam: 0.323 typical gaps (standard deviations), 0.102 index (0-1)Vanuatu: 0.0795 typical gaps (standard deviations), 0.848 index (0-1)Kosovo: -0.0202 typical gaps (standard deviations), 0.766 index (0-1)South Africa: -1.12 typical gaps (standard deviations), 0.837 index (0-1)Zambia: -2.37 typical gaps (standard deviations), 0.778 index (0-1)Zimbabwe: -1.72 typical gaps (standard deviations), 0.414 index (0-1)AREBDIBELBLRCODCZEMMRMOZNAMNORSWZZMB

best-fit line line after adjusting

Four ways to measure the link

MethodrpCountries
Standard (Pearson), not adjusted+0.1010.217152
By rank (Spearman), not adjusted+0.1550.057152
Standard (Pearson), adjusted for national income-0.1660.042152
By rank (Spearman), adjusted for national income-0.2310.004152

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 152 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: -0.065 (a minus sign means it grew).

How solid is it?

Leaving out one country at a time, r ranges from -0.216 (without SWZ) to -0.147 (without MMR). 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: SWZ (-0.050).

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 & Pacific16-0.35
Europe & Central Asia47+0.02
Latin America & Caribbean21-0.09
Middle East, North Africa, Afghanistan & Pakistan15-0.12
Sub-Saharan Africa45+0.02

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 third51-0.12
Middle third50-0.22
Richest third51-0.07

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
Christians96-0.04
Muslims39-0.11

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
France24-0.00
Never a European colony16+0.23
Spain19-0.18
United Kingdom40-0.16

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 = -0.144 after dropping 4 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 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 (0-1)
Years
Slovak Republic SVK1.060.7652023, 2025
Belarus BLR1.040.0252020, 2025
Slovenia SVN1.020.6912023, 2025
Ukraine UKR0.9670.4182020, 2025
Czechia CZE0.9610.9472023, 2025
Netherlands NLD0.9580.912021, 2025
United Arab Emirates ARE0.9210.0632018, 2025
Norway NOR0.910.9532023, 2025
Moldova MDA0.8950.6522023, 2025
Iceland ISL0.8950.8462019, 2025
Belgium BEL0.8950.9692023, 2025
Finland FIN0.8580.9462023, 2025
Algeria DZA0.8520.3672011, 2025
Armenia ARM0.8430.7322024, 2025
India IND0.8360.4582022, 2025

wdi
Coppedge, M. et al., V-Dem Dataset, Varieties of Democracy (V-Dem) Project

Sources

Equality score

Equality score

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

The average of 2 measures from 1 publisher. 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: Extreme poverty rate, Gini index.

Freedom of expression

Freedom of expression and alternative sources of information index

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

Media censorship, harassment of journalists, and freedom of academic and cultural expression. A part of the electoral democracy index.

How this was computed

Data used: most recent value in 2010-2025; values come from 2010–2025. 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 Equality score and Freedom of expression

This page shows that two measures go together. It does not show that Equality score changes Freedom of expression, or the reverse. These figures also describe countries, not individual people. See the ecological fallacy.

More links with Equality score or Freedom of expression