placestats

Middle Eastern ancestry vs. Political civil liberties

Holds up after adjusting for income

A country is not a person, and ancestry is not destiny. Countries where more people have ancestors from one part of the world also tend to differ on the other measure, and that is all. It does notfollow that people with that ancestry 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. Ancestry also goes very closely with region and with history, including colonisation and the Atlantic slave trade, and with national income. So much of what looks like ancestry here is really those. That is what the adjusted figures and the region-by-region view are for. The shares are one estimate, for around the year 2000, of where people’s ancestors lived in 1500, not how anyone identifies.

Across 156 countries, Middle Eastern ancestry and Political civil liberties rise and fall together at r = -0.30 (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 = -0.35, q = 0.0034, allowing for the many pairs tested). Caution: correlation moves sharply once outliers are trimmed.

Comparing countries across the middle half of middle eastern ancestry, 0% to 0.35% of population, political civil liberties is worse by 0.00103 points at the top of that range than the bottom. Comparing only countries with similar national income, the gap is 0.00117 points.

Link before adjusting (r)-0.296p = 0.000 · 156 countries
After adjusting for national income-0.350p = 8.1e-6 · likely range [-0.48, -0.20]
p, allowing for regions5.7e-5standard error 0.035 · 7 regions
Check for luck (q)0.003across 14,436 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.

Middle Eastern ancestry · % of populationlink with income +0.16 · independent
Political civil liberties · index (0-1)link with income +0.40 · moderate

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

Every country as a dot

Middle Eastern ancestry · % of population →Political civil liberties · index (0-1) →0%100%0.0170.975Afghanistan: 1% of population, 0.021 index (0-1)Angola: 0% of population, 0.578 index (0-1)Albania: 0% of population, 0.761 index (0-1)United Arab Emirates: 100% of population, 0.122 index (0-1)Argentina: 3% of population, 0.774 index (0-1)Armenia: 0% of population, 0.818 index (0-1)Australia: 2.5% of population, 0.906 index (0-1)Austria: 0% of population, 0.926 index (0-1)Azerbaijan: 1% of population, 0.121 index (0-1)Burundi: 0% of population, 0.157 index (0-1)Belgium: 1.6% of population, 0.963 index (0-1)Benin: 0% of population, 0.741 index (0-1)Burkina Faso: 0% of population, 0.346 index (0-1)Bangladesh: 0% of population, 0.636 index (0-1)Bulgaria: 0% of population, 0.825 index (0-1)Bahrain: 100% of population, 0.15 index (0-1)Bosnia and Herzegovina: 0% of population, 0.735 index (0-1)Belarus: 0% of population, 0.036 index (0-1)Bolivia: 0% of population, 0.735 index (0-1)Brazil: 0% of population, 0.932 index (0-1)Bhutan: 0% of population, 0.658 index (0-1)Botswana: 0% of population, 0.843 index (0-1)Central African Republic: 0% of population, 0.525 index (0-1)Canada: 0.9% of population, 0.922 index (0-1)Switzerland: 0% of population, 0.969 index (0-1)Chile: 2% of population, 0.943 index (0-1)China: 0% of population, 0.036 index (0-1)Cote d'Ivoire: 0.7% of population, 0.701 index (0-1)Cameroon: 0% of population, 0.417 index (0-1)Congo, Dem. Rep.: 0% of population, 0.555 index (0-1)Congo, Rep.: 0% of population, 0.296 index (0-1)Colombia: 0% of population, 0.842 index (0-1)Comoros: 0% of population, 0.514 index (0-1)Cabo Verde: 0% of population, 0.893 index (0-1)Costa Rica: 0% of population, 0.931 index (0-1)Cyprus: 0% of population, 0.879 index (0-1)Czechia: 0% of population, 0.934 index (0-1)Germany: 0% of population, 0.892 index (0-1)Denmark: 0% of population, 0.975 index (0-1)Dominican Republic: 0% of population, 0.922 index (0-1)Algeria: 100% of population, 0.339 index (0-1)Ecuador: 0% of population, 0.694 index (0-1)Egypt, Arab Rep.: 94.5% of population, 0.145 index (0-1)Spain: 0.3% of population, 0.925 index (0-1)Estonia: 0% of population, 0.966 index (0-1)Ethiopia: 0% of population, 0.336 index (0-1)Finland: 0% of population, 0.936 index (0-1)Fiji: 0% of population, 0.759 index (0-1)France: 4.8% of population, 0.953 index (0-1)Gabon: 0% of population, 0.747 index (0-1)United Kingdom: 0% of population, 0.858 index (0-1)Georgia: 0% of population, 0.605 index (0-1)Ghana: 0% of population, 0.922 index (0-1)Guinea: 0% of population, 0.453 index (0-1)Gambia, The: 0% of population, 0.837 index (0-1)Guinea-Bissau: 0.5% of population, 0.549 index (0-1)Equatorial Guinea: 0% of population, 0.117 index (0-1)Greece: 0% of population, 0.845 index (0-1)Guatemala: 0% of population, 0.856 index (0-1)Guyana: 0% of population, 0.855 index (0-1)Hong Kong SAR, China: 0% of population, 0.231 index (0-1)Honduras: 0% of population, 0.876 index (0-1)Croatia: 0% of population, 0.793 index (0-1)Haiti: 0% of population, 0.786 index (0-1)Hungary: 0% of population, 0.607 index (0-1)Indonesia: 0% of population, 0.596 index (0-1)India: 0% of population, 0.465 index (0-1)Ireland: 0% of population, 0.967 index (0-1)Iran, Islamic Rep.: 98% of population, 0.158 index (0-1)Iraq: 94.4% of population, 0.543 index (0-1)Israel: 62.7% of population, 0.769 index (0-1)Italy: 0.2% of population, 0.873 index (0-1)Jamaica: 0% of population, 0.936 index (0-1)Jordan: 98% of population, 0.549 index (0-1)Japan: 0% of population, 0.92 index (0-1)Kazakhstan: 0% of population, 0.362 index (0-1)Kenya: 0% of population, 0.86 index (0-1)Kyrgyz Republic: 0% of population, 0.427 index (0-1)Cambodia: 0% of population, 0.208 index (0-1)Korea, Rep.: 0% of population, 0.911 index (0-1)Kuwait: 100% of population, 0.364 index (0-1)Lao PDR: 0% of population, 0.053 index (0-1)Lebanon: 93.1% of population, 0.729 index (0-1)Liberia: 0% of population, 0.845 index (0-1)Libya: 96.5% of population, 0.515 index (0-1)Sri Lanka: 0% of population, 0.895 index (0-1)Lesotho: 0% of population, 0.857 index (0-1)Lithuania: 0% of population, 0.893 index (0-1)Luxembourg: 0.8% of population, 0.956 index (0-1)Latvia: 0% of population, 0.943 index (0-1)Morocco: 91% of population, 0.549 index (0-1)Moldova: 0% of population, 0.761 index (0-1)Madagascar: 0% of population, 0.743 index (0-1)Mexico: 0.8% of population, 0.642 index (0-1)North Macedonia: 0% of population, 0.753 index (0-1)Mali: 0.9% of population, 0.439 index (0-1)Malta: 95.8% of population, 0.891 index (0-1)Myanmar: 0% of population, 0.058 index (0-1)Mongolia: 0% of population, 0.758 index (0-1)Mozambique: 0% of population, 0.504 index (0-1)Mauritania: 0% of population, 0.526 index (0-1)Mauritius: 0% of population, 0.922 index (0-1)Malawi: 0% of population, 0.755 index (0-1)Malaysia: 0% of population, 0.691 index (0-1)Namibia: 0% of population, 0.896 index (0-1)Niger: 1.9% of population, 0.747 index (0-1)Nigeria: 0% of population, 0.863 index (0-1)Nicaragua: 0% of population, 0.017 index (0-1)Netherlands: 1% of population, 0.892 index (0-1)Norway: 0% of population, 0.955 index (0-1)Nepal: 0% of population, 0.863 index (0-1)New Zealand: 0% of population, 0.929 index (0-1)Oman: 81.4% of population, 0.167 index (0-1)Pakistan: 0% of population, 0.502 index (0-1)Panama: 0.6% of population, 0.885 index (0-1)Peru: 0% of population, 0.759 index (0-1)Philippines: 0% of population, 0.641 index (0-1)Papua New Guinea: 0% of population, 0.889 index (0-1)Poland: 0% of population, 0.93 index (0-1)Portugal: 0% of population, 0.914 index (0-1)Paraguay: 0% of population, 0.799 index (0-1)Qatar: 61.8% of population, 0.079 index (0-1)Romania: 0% of population, 0.838 index (0-1)Russian Federation: 0% of population, 0.1 index (0-1)Rwanda: 0% of population, 0.174 index (0-1)Saudi Arabia: 95.4% of population, 0.083 index (0-1)Sudan: 1.2% of population, 0.271 index (0-1)Senegal: 0.5% of population, 0.837 index (0-1)Singapore: 0% of population, 0.528 index (0-1)Sierra Leone: 0% of population, 0.868 index (0-1)El Salvador: 0% of population, 0.429 index (0-1)Somalia, Fed. Rep.: 1.1% of population, 0.532 index (0-1)Slovak Republic: 0% of population, 0.807 index (0-1)Slovenia: 0% of population, 0.797 index (0-1)Sweden: 0% of population, 0.96 index (0-1)Eswatini: 0% of population, 0.062 index (0-1)Syrian Arab Republic: 94.8% of population, 0.283 index (0-1)Chad: 0% of population, 0.302 index (0-1)Togo: 0% of population, 0.483 index (0-1)Thailand: 0% of population, 0.548 index (0-1)Tajikistan: 0% of population, 0.07 index (0-1)Turkmenistan: 0% of population, 0.054 index (0-1)Timor-Leste: 0% of population, 0.866 index (0-1)Trinidad and Tobago: 0% of population, 0.92 index (0-1)Tunisia: 100% of population, 0.561 index (0-1)Turkiye: 0.7% of population, 0.263 index (0-1)Tanzania: 0% of population, 0.614 index (0-1)Uganda: 0% of population, 0.368 index (0-1)Ukraine: 0% of population, 0.511 index (0-1)Uruguay: 0% of population, 0.947 index (0-1)United States: 0.551% of population, 0.865 index (0-1)Uzbekistan: 0% of population, 0.249 index (0-1)Viet Nam: 0% of population, 0.094 index (0-1)South Africa: 0% of population, 0.884 index (0-1)Zambia: 0% of population, 0.797 index (0-1)Zimbabwe: 0% of population, 0.349 index (0-1)AFGAREBHRBLRCHEDNKIRLLBNMLTNICSAUTUN

best-fit line line after adjusting

Four ways to measure the link

MethodrpCountries
Standard (Pearson), not adjusted-0.2960.000156
By rank (Spearman), not adjusted-0.1590.047156
Standard (Pearson), adjusted for national income-0.3508.1e-6156
By rank (Spearman), adjusted for national income-0.2500.002156

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 156 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: -0.054 (a minus sign means it grew).

How solid is it?

Leaving out one country at a time, r ranges from -0.369 (without MLT) to -0.322 (without SAU). 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: SAU (+0.027).

Fragile: this link may not hold up.
  • correlation moves sharply once outliers are trimmed
  • sign flips once outliers are trimmed
  • much weaker within regions than across them (largely a between-region difference)

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 & Pacific19+0.21
Europe & Central Asia45-0.01
Latin America & Caribbean21-0.04
Middle East, North Africa, Afghanistan & Pakistan20+0.18
Sub-Saharan Africa44+0.04

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 third52-0.09
Middle third52-0.24
Richest third52-0.62

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
Christians90+0.02
Muslims45-0.15

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+0.08
Never a European colony21-0.38
Spain19+0.01
United Kingdom45-0.54

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 = +0.019 after dropping 31 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 population

index (0-1)
Years
Tunisia TUN100%0.5612000, 2025
Kuwait KWT100%0.3642000, 2025
Algeria DZA100%0.3392000, 2025
Bahrain BHR100%0.152000, 2025
United Arab Emirates ARE100%0.1222000, 2025
Jordan JOR98%0.5492000, 2025
Iran, Islamic Rep. IRN98%0.1582000, 2025
Libya LBY96.5%0.5152000, 2025
Malta MLT95.8%0.8912000, 2025
Saudi Arabia SAU95.4%0.0832000, 2025
Syrian Arab Republic SYR94.8%0.2832000, 2025
Egypt, Arab Rep. EGY94.5%0.1452000, 2025
Iraq IRQ94.4%0.5432000, 2025
Lebanon LBN93.1%0.7292000, 2025
Morocco MAR91%0.5492000, 2025

Putterman, L. and Weil, D. N. (2010), 'Post-1500 Population Flows and the Long-Run Determinants of Economic Growth and Inequality', Quarterly Journal of Economics 125(4); World Migration Matrix version 1.1 (2009).
Coppedge, M. et al., V-Dem Dataset, Varieties of Democracy (V-Dem) Project

Sources

Middle Eastern ancestry

Middle Eastern and North African ancestry (share of the population)

Louis Putterman and David N. Weil, Brown University · No licence stated; used with citation · updated one edition (version 1.1, 2009)

The estimated share of today's population whose ancestors in the year 1500 lived in the Middle East or North Africa. This is the closest thing to race shares that can be compared across countries: national censuses each use their own race and ethnic categories, and most countries record none. It is about where people's ancestors lived, not how anyone identifies, and it is one estimate for around the year 2000, built from history, migration records and genetic studies. Every country's six ancestry shares add up to 100%, so they are linked to each other by arithmetic. No "better" direction is set.

Political civil liberties

Political civil liberties index

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

Combines freedom of expression and freedom of association. So it shares both parts with the electoral democracy index.

How this was computed

Data used: most recent value in 2010-2025; values come from 2000–2025. 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 14,436 pairs at once, using the Benjamini–Hochberg method. Underlying data last updated DYB 2024. How the country data works · explore Middle Eastern ancestry and Political civil liberties

This page shows that two measures go together. It does not show that Middle Eastern ancestry changes Political civil liberties, or the reverse. These figures also describe countries, not individual people. See the ecological fallacy.

More links with Middle Eastern ancestry or Political civil liberties