placestats

Ease of forming a party 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 156 countries, Ease of forming a party and Middle Eastern ancestry rise and fall together at r = -0.37 (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 = -0.40, q = 0.0032, 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, ease of forming a party is worse by 0.00648 points at the top of that range than the bottom. Comparing only countries with similar national income, the gap is 0.00705 points.

Link before adjusting (r)-0.366p = 2.7e-6 · 156 countries
After adjusting for national income-0.403p = 2.1e-7 · likely range [-0.53, -0.26]
p, allowing for regions0.111standard error 0.215 · 7 regions
Check for luck (q)0.003across 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.

Ease of forming a party · score (higher = fewer barriers)link with income +0.38 · 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

Ease of forming a party · score (higher = fewer barriers) →Middle Eastern ancestry · % of population →-3.832.950%100%Afghanistan: -2.68 score (higher = fewer barriers), 1% of populationAngola: 0.203 score (higher = fewer barriers), 0% of populationAlbania: 2.27 score (higher = fewer barriers), 0% of populationUnited Arab Emirates: -3.19 score (higher = fewer barriers), 100% of populationArgentina: 2.75 score (higher = fewer barriers), 3% of populationArmenia: 2.12 score (higher = fewer barriers), 0% of populationAustralia: 2.08 score (higher = fewer barriers), 2.5% of populationAustria: 2.68 score (higher = fewer barriers), 0% of populationAzerbaijan: -0.865 score (higher = fewer barriers), 1% of populationBurundi: 0.437 score (higher = fewer barriers), 0% of populationBelgium: 2.72 score (higher = fewer barriers), 1.6% of populationBenin: 0.373 score (higher = fewer barriers), 0% of populationBurkina Faso: 0.206 score (higher = fewer barriers), 0% of populationBangladesh: 1.43 score (higher = fewer barriers), 0% of populationBulgaria: 2.16 score (higher = fewer barriers), 0% of populationBahrain: -1.39 score (higher = fewer barriers), 100% of populationBosnia and Herzegovina: 1.72 score (higher = fewer barriers), 0% of populationBelarus: -1 score (higher = fewer barriers), 0% of populationBolivia: 2.01 score (higher = fewer barriers), 0% of populationBrazil: 1.85 score (higher = fewer barriers), 0% of populationBhutan: 0.466 score (higher = fewer barriers), 0% of populationBotswana: 2.17 score (higher = fewer barriers), 0% of populationCentral African Republic: 0.091 score (higher = fewer barriers), 0% of populationCanada: 1.51 score (higher = fewer barriers), 0.9% of populationSwitzerland: 2.63 score (higher = fewer barriers), 0% of populationChile: 1.41 score (higher = fewer barriers), 2% of populationChina: -2.15 score (higher = fewer barriers), 0% of populationCote d'Ivoire: 0.97 score (higher = fewer barriers), 0.7% of populationCameroon: 0.399 score (higher = fewer barriers), 0% of populationCongo, Dem. Rep.: 0.336 score (higher = fewer barriers), 0% of populationCongo, Rep.: 0.638 score (higher = fewer barriers), 0% of populationColombia: 2.28 score (higher = fewer barriers), 0% of populationComoros: 0.077 score (higher = fewer barriers), 0% of populationCabo Verde: 1.9 score (higher = fewer barriers), 0% of populationCosta Rica: 2.81 score (higher = fewer barriers), 0% of populationCyprus: 2.51 score (higher = fewer barriers), 0% of populationCzechia: 2.44 score (higher = fewer barriers), 0% of populationGermany: 2.07 score (higher = fewer barriers), 0% of populationDenmark: 2.53 score (higher = fewer barriers), 0% of populationDominican Republic: 2.05 score (higher = fewer barriers), 0% of populationAlgeria: 0.068 score (higher = fewer barriers), 100% of populationEcuador: 1.02 score (higher = fewer barriers), 0% of populationEgypt, Arab Rep.: -0.608 score (higher = fewer barriers), 94.5% of populationSpain: 2.26 score (higher = fewer barriers), 0.3% of populationEstonia: 1.83 score (higher = fewer barriers), 0% of populationEthiopia: 0.123 score (higher = fewer barriers), 0% of populationFinland: 2.09 score (higher = fewer barriers), 0% of populationFiji: 0.734 score (higher = fewer barriers), 0% of populationFrance: 2.39 score (higher = fewer barriers), 4.8% of populationGabon: 0.958 score (higher = fewer barriers), 0% of populationUnited Kingdom: 2.65 score (higher = fewer barriers), 0% of populationGeorgia: 0.756 score (higher = fewer barriers), 0% of populationGhana: 2.4 score (higher = fewer barriers), 0% of populationGuinea: 1.2 score (higher = fewer barriers), 0% of populationGambia, The: 1.03 score (higher = fewer barriers), 0% of populationGuinea-Bissau: 0.846 score (higher = fewer barriers), 0.5% of populationEquatorial Guinea: -0.334 score (higher = fewer barriers), 0% of populationGreece: 1.67 score (higher = fewer barriers), 0% of populationGuatemala: 1.65 score (higher = fewer barriers), 0% of populationGuyana: 2 score (higher = fewer barriers), 0% of populationHong Kong SAR, China: -0.351 score (higher = fewer barriers), 0% of populationHonduras: 1.68 score (higher = fewer barriers), 0% of populationCroatia: 2.24 score (higher = fewer barriers), 0% of populationHaiti: 1.67 score (higher = fewer barriers), 0% of populationHungary: 0.843 score (higher = fewer barriers), 0% of populationIndonesia: 1.57 score (higher = fewer barriers), 0% of populationIndia: 0.841 score (higher = fewer barriers), 0% of populationIreland: 2.04 score (higher = fewer barriers), 0% of populationIran, Islamic Rep.: -1.19 score (higher = fewer barriers), 98% of populationIraq: 0.461 score (higher = fewer barriers), 94.4% of populationIsrael: 1.41 score (higher = fewer barriers), 62.7% of populationItaly: 2.66 score (higher = fewer barriers), 0.2% of populationJamaica: 1.59 score (higher = fewer barriers), 0% of populationJordan: 1.47 score (higher = fewer barriers), 98% of populationJapan: 2.48 score (higher = fewer barriers), 0% of populationKazakhstan: -0.133 score (higher = fewer barriers), 0% of populationKenya: 0.925 score (higher = fewer barriers), 0% of populationKyrgyz Republic: 0.273 score (higher = fewer barriers), 0% of populationCambodia: -0.468 score (higher = fewer barriers), 0% of populationKorea, Rep.: 1.59 score (higher = fewer barriers), 0% of populationKuwait: -2.95 score (higher = fewer barriers), 100% of populationLao PDR: -1.37 score (higher = fewer barriers), 0% of populationLebanon: 1.46 score (higher = fewer barriers), 93.1% of populationLiberia: 2.21 score (higher = fewer barriers), 0% of populationLibya: 0.705 score (higher = fewer barriers), 96.5% of populationSri Lanka: 2.5 score (higher = fewer barriers), 0% of populationLesotho: 2.02 score (higher = fewer barriers), 0% of populationLithuania: 2.12 score (higher = fewer barriers), 0% of populationLuxembourg: 1.5 score (higher = fewer barriers), 0.8% of populationLatvia: 2.25 score (higher = fewer barriers), 0% of populationMorocco: 1.03 score (higher = fewer barriers), 91% of populationMoldova: 2.38 score (higher = fewer barriers), 0% of populationMadagascar: 1.67 score (higher = fewer barriers), 0% of populationMexico: 1.18 score (higher = fewer barriers), 0.8% of populationNorth Macedonia: 0.957 score (higher = fewer barriers), 0% of populationMali: -1.46 score (higher = fewer barriers), 0.9% of populationMalta: 2.37 score (higher = fewer barriers), 95.8% of populationMyanmar: -1.11 score (higher = fewer barriers), 0% of populationMongolia: 0.779 score (higher = fewer barriers), 0% of populationMozambique: 0.635 score (higher = fewer barriers), 0% of populationMauritania: -0.372 score (higher = fewer barriers), 0% of populationMauritius: 2.24 score (higher = fewer barriers), 0% of populationMalawi: 2.07 score (higher = fewer barriers), 0% of populationMalaysia: 1.93 score (higher = fewer barriers), 0% of populationNamibia: 2.19 score (higher = fewer barriers), 0% of populationNiger: 0.246 score (higher = fewer barriers), 1.9% of populationNigeria: 2.41 score (higher = fewer barriers), 0% of populationNicaragua: -1.84 score (higher = fewer barriers), 0% of populationNetherlands: 2.18 score (higher = fewer barriers), 1% of populationNorway: 2.24 score (higher = fewer barriers), 0% of populationNepal: 1.98 score (higher = fewer barriers), 0% of populationNew Zealand: 2.28 score (higher = fewer barriers), 0% of populationOman: -2.88 score (higher = fewer barriers), 81.4% of populationPakistan: -0.151 score (higher = fewer barriers), 0% of populationPanama: 2.33 score (higher = fewer barriers), 0.6% of populationPeru: 2.21 score (higher = fewer barriers), 0% of populationPhilippines: 1.15 score (higher = fewer barriers), 0% of populationPapua New Guinea: 1.99 score (higher = fewer barriers), 0% of populationPoland: 1.98 score (higher = fewer barriers), 0% of populationPortugal: 2.14 score (higher = fewer barriers), 0% of populationParaguay: 1.34 score (higher = fewer barriers), 0% of populationQatar: -3.69 score (higher = fewer barriers), 61.8% of populationRomania: 1.95 score (higher = fewer barriers), 0% of populationRussian Federation: -0.688 score (higher = fewer barriers), 0% of populationRwanda: -0.686 score (higher = fewer barriers), 0% of populationSaudi Arabia: -3.83 score (higher = fewer barriers), 95.4% of populationSudan: 0.02 score (higher = fewer barriers), 1.2% of populationSenegal: 2.27 score (higher = fewer barriers), 0.5% of populationSingapore: 0.645 score (higher = fewer barriers), 0% of populationSierra Leone: 1.62 score (higher = fewer barriers), 0% of populationEl Salvador: 1.02 score (higher = fewer barriers), 0% of populationSomalia, Fed. Rep.: 0.916 score (higher = fewer barriers), 1.1% of populationSlovak Republic: 2.31 score (higher = fewer barriers), 0% of populationSlovenia: 2.44 score (higher = fewer barriers), 0% of populationSweden: 2.76 score (higher = fewer barriers), 0% of populationEswatini: -3.23 score (higher = fewer barriers), 0% of populationSyrian Arab Republic: -0.68 score (higher = fewer barriers), 94.8% of populationChad: -0.191 score (higher = fewer barriers), 0% of populationTogo: 0.982 score (higher = fewer barriers), 0% of populationThailand: 0.334 score (higher = fewer barriers), 0% of populationTajikistan: -1.43 score (higher = fewer barriers), 0% of populationTurkmenistan: -1.27 score (higher = fewer barriers), 0% of populationTimor-Leste: 1.78 score (higher = fewer barriers), 0% of populationTrinidad and Tobago: 2.57 score (higher = fewer barriers), 0% of populationTunisia: 0.69 score (higher = fewer barriers), 100% of populationTurkiye: 0.418 score (higher = fewer barriers), 0.7% of populationTanzania: 0.471 score (higher = fewer barriers), 0% of populationUganda: 0.283 score (higher = fewer barriers), 0% of populationUkraine: 0.779 score (higher = fewer barriers), 0% of populationUruguay: 2.18 score (higher = fewer barriers), 0% of populationUnited States: 2.95 score (higher = fewer barriers), 0.551% of populationUzbekistan: -0.777 score (higher = fewer barriers), 0% of populationViet Nam: -2.93 score (higher = fewer barriers), 0% of populationSouth Africa: 2.6 score (higher = fewer barriers), 0% of populationZambia: 1.75 score (higher = fewer barriers), 0% of populationZimbabwe: 0.812 score (higher = fewer barriers), 0% of populationAFGARECRIJORKWTLBNMLTSAUSWESWZUSAVNM

best-fit line line after adjusting

Four ways to measure the link

MethodrpCountries
Standard (Pearson), not adjusted-0.3662.7e-6156
By rank (Spearman), not adjusted-0.1870.019156
Standard (Pearson), adjusted for national income-0.4032.1e-7156
By rank (Spearman), adjusted for national income-0.2690.001156

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: -0.037 (a minus sign means it grew).

How solid is it?

Leaving out one country at a time, r ranges from -0.427 (without MLT) to -0.364 (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 (+0.039).

Fragile: this link may not hold up.
  • correlation moves sharply once outliers are trimmed
  • sign flips once outliers are trimmed
  • direction is not consistent across regions
  • 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+0.19
Europe & Central Asia45-0.02
Latin America & Caribbean21+0.06
Middle East, North Africa, Afghanistan & Pakistan20+0.34
Sub-Saharan Africa44-0.12

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 third52-0.15
Richest third52-0.75

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+0.04
Muslims45-0.21

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+0.15
Never a European colony21-0.57
Spain19+0.07
United Kingdom45-0.52

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
Nationalist25-0.34
No strong official ideology106-0.40

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 banned25-0.04
No parties banned110-0.08

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 = +0.030 after dropping 33 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 = fewer barriers)

% of population
Years
United States USA2.950.551%2025, 2000
Costa Rica CRI2.810%2025, 2000
Sweden SWE2.760%2025, 2000
Argentina ARG2.753%2025, 2000
Belgium BEL2.721.6%2025, 2000
Austria AUT2.680%2025, 2000
Italy ITA2.660.2%2025, 2000
United Kingdom GBR2.650%2025, 2000
Switzerland CHE2.630%2025, 2000
South Africa ZAF2.60%2025, 2000
Trinidad and Tobago TTO2.570%2025, 2000
Denmark DNK2.530%2025, 2000
Cyprus CYP2.510%2025, 2000
Sri Lanka LKA2.50%2025, 2000
Japan JPN2.480%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

Ease of forming a party

Barriers to forming a party (higher = fewer barriers)

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

How hard is it to start a new party? Experts answer from 0 ("parties are not allowed") to 4 ("no substantial barriers"), counting both legal hurdles such as deposits and membership rules and harassment of party leaders. 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 Ease of forming a party and Middle Eastern ancestry

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

More links with Ease of forming a party or Middle Eastern ancestry