placestats

Independent opposition vs. Middle Eastern ancestry

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 154 countries, Independent opposition and Middle Eastern ancestry rise and fall together at r = -0.28 (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 = -0.33, q = 0.0024, 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 0.15% of population, independent opposition is worse by 0.00209 points at the top of that range than the bottom. Comparing only countries with similar national income, the gap is 0.00237 points.

Link before adjusting (r)-0.277p = 0.000 · 154 countries
After adjusting for national income-0.329p = 3.4e-5 · likely range [-0.46, -0.18]
p, allowing for regions0.246standard error 0.256 · 7 regions
Check for luck (q)0.002across 17,292 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.

Independent opposition · score (higher = more independent)link with income +0.45 · moderate
Middle Eastern ancestry · % of populationlink with income +0.16 · independent

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

Every country as a dot

Independent opposition · score (higher = more independent) →Middle Eastern ancestry · % of population →-3.373.130%100%Afghanistan: -2.89 score (higher = more independent), 1% of populationAngola: 0.728 score (higher = more independent), 0% of populationAlbania: 1.24 score (higher = more independent), 0% of populationUnited Arab Emirates: -2.46 score (higher = more independent), 100% of populationArgentina: 1.74 score (higher = more independent), 3% of populationArmenia: 1.46 score (higher = more independent), 0% of populationAustralia: 2.62 score (higher = more independent), 2.5% of populationAustria: 2.73 score (higher = more independent), 0% of populationAzerbaijan: -0.517 score (higher = more independent), 1% of populationBurundi: -0.573 score (higher = more independent), 0% of populationBelgium: 2.85 score (higher = more independent), 1.6% of populationBenin: 0.386 score (higher = more independent), 0% of populationBurkina Faso: 1.03 score (higher = more independent), 0% of populationBangladesh: 0.499 score (higher = more independent), 0% of populationBulgaria: 1.59 score (higher = more independent), 0% of populationBahrain: -1.25 score (higher = more independent), 100% of populationBosnia and Herzegovina: 0.781 score (higher = more independent), 0% of populationBelarus: -1.6 score (higher = more independent), 0% of populationBolivia: 1.96 score (higher = more independent), 0% of populationBrazil: 2.58 score (higher = more independent), 0% of populationBhutan: 1.31 score (higher = more independent), 0% of populationBotswana: 1.66 score (higher = more independent), 0% of populationCentral African Republic: 0.683 score (higher = more independent), 0% of populationCanada: 2.51 score (higher = more independent), 0.9% of populationSwitzerland: 2.72 score (higher = more independent), 0% of populationChile: 3.13 score (higher = more independent), 2% of populationChina: -2.28 score (higher = more independent), 0% of populationCote d'Ivoire: 1.24 score (higher = more independent), 0.7% of populationCameroon: -0.371 score (higher = more independent), 0% of populationCongo, Dem. Rep.: 0.573 score (higher = more independent), 0% of populationCongo, Rep.: 0.508 score (higher = more independent), 0% of populationColombia: 2.26 score (higher = more independent), 0% of populationComoros: 1.03 score (higher = more independent), 0% of populationCabo Verde: 2.53 score (higher = more independent), 0% of populationCosta Rica: 1.98 score (higher = more independent), 0% of populationCyprus: 2.54 score (higher = more independent), 0% of populationCzechia: 2.43 score (higher = more independent), 0% of populationGermany: 2.66 score (higher = more independent), 0% of populationDenmark: 2.83 score (higher = more independent), 0% of populationDominican Republic: 1.51 score (higher = more independent), 0% of populationAlgeria: -0.094 score (higher = more independent), 100% of populationEcuador: 1.73 score (higher = more independent), 0% of populationEgypt, Arab Rep.: -0.965 score (higher = more independent), 94.5% of populationSpain: 2.74 score (higher = more independent), 0.3% of populationEstonia: 2.71 score (higher = more independent), 0% of populationEthiopia: -0.535 score (higher = more independent), 0% of populationFinland: 2.65 score (higher = more independent), 0% of populationFiji: 1.7 score (higher = more independent), 0% of populationFrance: 2.59 score (higher = more independent), 4.8% of populationGabon: 0.682 score (higher = more independent), 0% of populationUnited Kingdom: 2.26 score (higher = more independent), 0% of populationGeorgia: 1.28 score (higher = more independent), 0% of populationGhana: 2.04 score (higher = more independent), 0% of populationGuinea: 1.03 score (higher = more independent), 0% of populationGambia, The: 0.787 score (higher = more independent), 0% of populationGuinea-Bissau: 0.862 score (higher = more independent), 0.5% of populationEquatorial Guinea: -0.253 score (higher = more independent), 0% of populationGreece: 2.08 score (higher = more independent), 0% of populationGuatemala: 2.17 score (higher = more independent), 0% of populationGuyana: 0.768 score (higher = more independent), 0% of populationHong Kong SAR, China: -0.864 score (higher = more independent), 0% of populationHonduras: 2.1 score (higher = more independent), 0% of populationCroatia: 1.5 score (higher = more independent), 0% of populationHaiti: 0.187 score (higher = more independent), 0% of populationHungary: 0.224 score (higher = more independent), 0% of populationIndonesia: 0.469 score (higher = more independent), 0% of populationIndia: 1.58 score (higher = more independent), 0% of populationIreland: 3.01 score (higher = more independent), 0% of populationIran, Islamic Rep.: -1.75 score (higher = more independent), 98% of populationIraq: 0.313 score (higher = more independent), 94.4% of populationIsrael: 2.35 score (higher = more independent), 62.7% of populationItaly: 2.73 score (higher = more independent), 0.2% of populationJamaica: 2 score (higher = more independent), 0% of populationJordan: 0.662 score (higher = more independent), 98% of populationJapan: 1.92 score (higher = more independent), 0% of populationKazakhstan: -0.551 score (higher = more independent), 0% of populationKenya: 1.39 score (higher = more independent), 0% of populationKyrgyz Republic: -0.721 score (higher = more independent), 0% of populationCambodia: -0.704 score (higher = more independent), 0% of populationKorea, Rep.: 2.76 score (higher = more independent), 0% of populationKuwait: -0.978 score (higher = more independent), 100% of populationLao PDR: -2.8 score (higher = more independent), 0% of populationLebanon: 0.53 score (higher = more independent), 93.1% of populationLiberia: 1.66 score (higher = more independent), 0% of populationLibya: 0.783 score (higher = more independent), 96.5% of populationSri Lanka: 1.84 score (higher = more independent), 0% of populationLesotho: 1.97 score (higher = more independent), 0% of populationLithuania: 2.13 score (higher = more independent), 0% of populationLuxembourg: 2.33 score (higher = more independent), 0.8% of populationLatvia: 2.84 score (higher = more independent), 0% of populationMorocco: 0.63 score (higher = more independent), 91% of populationMoldova: 2.43 score (higher = more independent), 0% of populationMadagascar: 1.98 score (higher = more independent), 0% of populationMexico: 0.679 score (higher = more independent), 0.8% of populationNorth Macedonia: 1.03 score (higher = more independent), 0% of populationMali: 1.33 score (higher = more independent), 0.9% of populationMalta: 2.64 score (higher = more independent), 95.8% of populationMyanmar: -1.3 score (higher = more independent), 0% of populationMongolia: 1.3 score (higher = more independent), 0% of populationMozambique: 0.615 score (higher = more independent), 0% of populationMauritania: -0.206 score (higher = more independent), 0% of populationMauritius: 1.85 score (higher = more independent), 0% of populationMalawi: 1.27 score (higher = more independent), 0% of populationMalaysia: 1.76 score (higher = more independent), 0% of populationNamibia: 2.53 score (higher = more independent), 0% of populationNiger: 2.33 score (higher = more independent), 1.9% of populationNigeria: 1.5 score (higher = more independent), 0% of populationNicaragua: -1.89 score (higher = more independent), 0% of populationNetherlands: 2.86 score (higher = more independent), 1% of populationNorway: 2.19 score (higher = more independent), 0% of populationNepal: 2.55 score (higher = more independent), 0% of populationNew Zealand: 2.77 score (higher = more independent), 0% of populationPakistan: 0.106 score (higher = more independent), 0% of populationPanama: 1.83 score (higher = more independent), 0.6% of populationPeru: 1.6 score (higher = more independent), 0% of populationPhilippines: 0.797 score (higher = more independent), 0% of populationPapua New Guinea: 2.01 score (higher = more independent), 0% of populationPoland: 1.93 score (higher = more independent), 0% of populationPortugal: 1.72 score (higher = more independent), 0% of populationParaguay: 1.43 score (higher = more independent), 0% of populationRomania: 1.96 score (higher = more independent), 0% of populationRussian Federation: -1.45 score (higher = more independent), 0% of populationRwanda: -1.38 score (higher = more independent), 0% of populationSaudi Arabia: -2.61 score (higher = more independent), 95.4% of populationSudan: 0.09 score (higher = more independent), 1.2% of populationSenegal: 0.71 score (higher = more independent), 0.5% of populationSingapore: 1.89 score (higher = more independent), 0% of populationSierra Leone: 1.84 score (higher = more independent), 0% of populationEl Salvador: 1.29 score (higher = more independent), 0% of populationSomalia, Fed. Rep.: 0.418 score (higher = more independent), 1.1% of populationSlovak Republic: 2.84 score (higher = more independent), 0% of populationSlovenia: 1.97 score (higher = more independent), 0% of populationSweden: 2.77 score (higher = more independent), 0% of populationEswatini: -1.85 score (higher = more independent), 0% of populationSyrian Arab Republic: -0.732 score (higher = more independent), 94.8% of populationChad: 0.65 score (higher = more independent), 0% of populationTogo: 0.357 score (higher = more independent), 0% of populationThailand: 1.45 score (higher = more independent), 0% of populationTajikistan: -1.2 score (higher = more independent), 0% of populationTurkmenistan: -2.17 score (higher = more independent), 0% of populationTimor-Leste: 1.41 score (higher = more independent), 0% of populationTrinidad and Tobago: 1.94 score (higher = more independent), 0% of populationTunisia: 1.11 score (higher = more independent), 100% of populationTurkiye: 0.86 score (higher = more independent), 0.7% of populationTanzania: 1.1 score (higher = more independent), 0% of populationUganda: 0.496 score (higher = more independent), 0% of populationUkraine: 0.717 score (higher = more independent), 0% of populationUruguay: 2.96 score (higher = more independent), 0% of populationUnited States: 2.31 score (higher = more independent), 0.551% of populationUzbekistan: -1.46 score (higher = more independent), 0% of populationViet Nam: -3.37 score (higher = more independent), 0% of populationSouth Africa: 0.912 score (higher = more independent), 0% of populationZambia: 0.22 score (higher = more independent), 0% of populationZimbabwe: -0.068 score (higher = more independent), 0% of populationAFGARECHLIRLIRNLAOLBYMLTSAUTUNURYVNM

best-fit line line after adjusting

Four ways to measure the link

MethodrpCountries
Standard (Pearson), not adjusted-0.2770.000154
By rank (Spearman), not adjusted-0.0860.287154
Standard (Pearson), adjusted for national income-0.3293.4e-5154
By rank (Spearman), adjusted for national income-0.1690.036154

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 154 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: -0.051 (a minus sign means it grew).

How solid is it?

Leaving out one country at a time, r ranges from -0.353 (without MLT) to -0.287 (without ARE). 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: ARE (+0.042).

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+0.18
Europe & Central Asia45+0.05
Latin America & Caribbean21+0.08
Middle East, North Africa, Afghanistan & Pakistan18+0.11
Sub-Saharan Africa44+0.17

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 third52-0.07
Middle third51-0.24
Richest third51-0.60

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+0.06
Muslims43-0.18

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+0.23
Never a European colony20-0.45
Spain19-0.05
United Kingdom44-0.57

By official ideology

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
Nationalist24-0.17
No strong official ideology106-0.39

By party system

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
A few parties banned25-0.03
No parties banned110-0.12

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 = +0.111 after dropping 40 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


score (higher = more independent)

% of population
Years
Chile CHL3.132%2025, 2000
Ireland IRL3.010%2025, 2000
Uruguay URY2.960%2025, 2000
Netherlands NLD2.861%2025, 2000
Belgium BEL2.851.6%2025, 2000
Latvia LVA2.840%2025, 2000
Slovak Republic SVK2.840%2025, 2000
Denmark DNK2.830%2025, 2000
New Zealand NZL2.770%2025, 2000
Sweden SWE2.770%2025, 2000
Korea, Rep. KOR2.760%2025, 2000
Spain ESP2.740.3%2025, 2000
Italy ITA2.730.2%2025, 2000
Austria AUT2.730%2025, 2000
Switzerland CHE2.720%2025, 2000

Coppedge, M. et al., V-Dem Dataset v16, Varieties of Democracy (V-Dem) Project; Lindberg, S. I. et al., Varieties of Party Identity and Organization (V-Party) Dataset. Read from the V-Dem Institute's vdemdata package.
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).

Sources

Independent opposition

Opposition parties' independence from the ruling regime

V-Dem Institute, University of Gothenburg · CC BY-SA 4.0 · updated annual (V-Dem); V-Party per election, to 2019

Are opposition parties really independent, or picked or bought by the people in power? Experts answer from 0 ("opposition parties are not allowed") to 4 ("all opposition parties are independent"). V-Dem turns the answers into a score of about -4 to +4. A part of V-Dem's freedom of association index.

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.

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 17,292 pairs at once, using the Benjamini–Hochberg method. Underlying data last updated V-Dem v16; V-Party v2. How the country data works · explore Independent opposition and Middle Eastern ancestry

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

More links with Independent opposition or Middle Eastern ancestry