placestats

Governance score vs. Official ideology, strength

Holds up after adjusting for income

Across 168 countries, Governance score and Official ideology, strength rise and fall together at r = -0.56 (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 = -0.59, q = 0.018, allowing for the many pairs tested).

Comparing countries across the middle half of official ideology, strength, -1.34 to 0.455 points, governance score is worse by 0.673 typical gaps at the top of that range than the bottom. Comparing only countries with similar national income, the gap is 0.615 typical gaps.

Link before adjusting (r)-0.564p = 1.7e-15 · 168 countries
After adjusting for national income-0.591p = 4.3e-17 · likely range [-0.68, -0.48]
p, allowing for regions0.002standard error 0.109 · 7 regions
Check for luck (q)0.018across 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.

Governance score · typical gaps (standard deviations)link with income +0.53 · moderate
Official ideology, strength · score (higher = more)link with income -0.13 · independent

“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) →Official ideology, strength · score (higher = more) →-1.41.47-3.253.28Afghanistan: -1.4 typical gaps (standard deviations), 3.28 score (higher = more)Angola: -0.522 typical gaps (standard deviations), -1.43 score (higher = more)Albania: 0.323 typical gaps (standard deviations), -1.09 score (higher = more)United Arab Emirates: -0.981 typical gaps (standard deviations), 1.48 score (higher = more)Argentina: 0.815 typical gaps (standard deviations), 0.002 score (higher = more)Armenia: 0.22 typical gaps (standard deviations), -1.33 score (higher = more)Australia: 1.38 typical gaps (standard deviations), -1.57 score (higher = more)Austria: 1.33 typical gaps (standard deviations), -2.54 score (higher = more)Azerbaijan: -1.33 typical gaps (standard deviations), 1.36 score (higher = more)Burundi: -1.09 typical gaps (standard deviations), -2.37 score (higher = more)Belgium: 1.41 typical gaps (standard deviations), -2.63 score (higher = more)Benin: 0.285 typical gaps (standard deviations), -0.367 score (higher = more)Burkina Faso: -0.784 typical gaps (standard deviations), -0.048 score (higher = more)Bangladesh: -0.359 typical gaps (standard deviations), 1.67 score (higher = more)Bulgaria: 0.74 typical gaps (standard deviations), -2.96 score (higher = more)Bahrain: -1.05 typical gaps (standard deviations), 1.34 score (higher = more)Bosnia and Herzegovina: 0.0899 typical gaps (standard deviations), 1.42 score (higher = more)Belarus: -1.26 typical gaps (standard deviations), 2.17 score (higher = more)Bolivia: 0.552 typical gaps (standard deviations), 0.825 score (higher = more)Brazil: 0.85 typical gaps (standard deviations), -0.538 score (higher = more)Barbados: 1.24 typical gaps (standard deviations), 0.748 score (higher = more)Bhutan: 0.61 typical gaps (standard deviations), 0.514 score (higher = more)Botswana: 0.872 typical gaps (standard deviations), -0.629 score (higher = more)Central African Republic: -1.02 typical gaps (standard deviations), 0.328 score (higher = more)Canada: 1.36 typical gaps (standard deviations), -0.755 score (higher = more)Switzerland: 1.47 typical gaps (standard deviations), -2.9 score (higher = more)Chile: 1.32 typical gaps (standard deviations), -0.879 score (higher = more)China: -1.2 typical gaps (standard deviations), 2.02 score (higher = more)Cote d'Ivoire: -0.116 typical gaps (standard deviations), -1.1 score (higher = more)Cameroon: -0.834 typical gaps (standard deviations), 0.343 score (higher = more)Congo, Dem. Rep.: -0.824 typical gaps (standard deviations), -1.41 score (higher = more)Congo, Rep.: -0.925 typical gaps (standard deviations), -1.71 score (higher = more)Colombia: 0.733 typical gaps (standard deviations), 0.567 score (higher = more)Comoros: -0.464 typical gaps (standard deviations), 0.955 score (higher = more)Cabo Verde: 1.15 typical gaps (standard deviations), -1.04 score (higher = more)Costa Rica: 1.34 typical gaps (standard deviations), -0.994 score (higher = more)Cyprus: 1.1 typical gaps (standard deviations), -0.244 score (higher = more)Czechia: 1.31 typical gaps (standard deviations), -1.74 score (higher = more)Germany: 1.36 typical gaps (standard deviations), -2.29 score (higher = more)Djibouti: -0.784 typical gaps (standard deviations), -0.567 score (higher = more)Denmark: 1.47 typical gaps (standard deviations), -1.97 score (higher = more)Dominican Republic: 0.621 typical gaps (standard deviations), -1.13 score (higher = more)Algeria: -0.695 typical gaps (standard deviations), -0.332 score (higher = more)Ecuador: 0.447 typical gaps (standard deviations), -1.63 score (higher = more)Egypt, Arab Rep.: -0.987 typical gaps (standard deviations), -0.585 score (higher = more)Spain: 1.32 typical gaps (standard deviations), -1.42 score (higher = more)Estonia: 1.41 typical gaps (standard deviations), -2.68 score (higher = more)Ethiopia: -0.741 typical gaps (standard deviations), 0.253 score (higher = more)Finland: 1.38 typical gaps (standard deviations), -0.64 score (higher = more)Fiji: 0.57 typical gaps (standard deviations), 0.617 score (higher = more)France: 1.24 typical gaps (standard deviations), -0.638 score (higher = more)Gabon: -0.529 typical gaps (standard deviations), -0.217 score (higher = more)United Kingdom: 1.27 typical gaps (standard deviations), -1.12 score (higher = more)Georgia: 0.0179 typical gaps (standard deviations), -1.33 score (higher = more)Ghana: 0.845 typical gaps (standard deviations), -1.49 score (higher = more)Guinea: -0.676 typical gaps (standard deviations), -0.152 score (higher = more)Gambia, The: 0.362 typical gaps (standard deviations), -0.952 score (higher = more)Guinea-Bissau: -0.465 typical gaps (standard deviations), -1.37 score (higher = more)Equatorial Guinea: -1.32 typical gaps (standard deviations), 0.31 score (higher = more)Greece: 0.914 typical gaps (standard deviations), -0.567 score (higher = more)Guatemala: 0.291 typical gaps (standard deviations), -0.275 score (higher = more)Guyana: 0.538 typical gaps (standard deviations), -1.13 score (higher = more)Hong Kong SAR, China: -0.536 typical gaps (standard deviations), 2.44 score (higher = more)Honduras: 0.146 typical gaps (standard deviations), -0.043 score (higher = more)Croatia: 0.865 typical gaps (standard deviations), -0.305 score (higher = more)Haiti: -0.66 typical gaps (standard deviations), -1.84 score (higher = more)Hungary: 0.225 typical gaps (standard deviations), 1.38 score (higher = more)Indonesia: 0.125 typical gaps (standard deviations), -0.094 score (higher = more)India: 0.146 typical gaps (standard deviations), 2.08 score (higher = more)Ireland: 1.41 typical gaps (standard deviations), -1.44 score (higher = more)Iran, Islamic Rep.: -1.26 typical gaps (standard deviations), 2.73 score (higher = more)Iraq: -0.488 typical gaps (standard deviations), 0.443 score (higher = more)Iceland: 1.32 typical gaps (standard deviations), -1.14 score (higher = more)Israel: 0.783 typical gaps (standard deviations), 1.49 score (higher = more)Italy: 1 typical gaps (standard deviations), -0.615 score (higher = more)Jamaica: 1.01 typical gaps (standard deviations), 0.511 score (higher = more)Jordan: -0.271 typical gaps (standard deviations), -0.469 score (higher = more)Japan: 1.28 typical gaps (standard deviations), -0.297 score (higher = more)Kazakhstan: -0.796 typical gaps (standard deviations), -0.217 score (higher = more)Kenya: 0.217 typical gaps (standard deviations), 0.042 score (higher = more)Kyrgyz Republic: -0.725 typical gaps (standard deviations), 0.13 score (higher = more)Cambodia: -1.01 typical gaps (standard deviations), -0.912 score (higher = more)Korea, Rep.: 1.05 typical gaps (standard deviations), -0.968 score (higher = more)Kuwait: -0.696 typical gaps (standard deviations), 0.117 score (higher = more)Lao PDR: -1.14 typical gaps (standard deviations), 1.8 score (higher = more)Lebanon: -0.112 typical gaps (standard deviations), -0.856 score (higher = more)Liberia: 0.416 typical gaps (standard deviations), -0.859 score (higher = more)Libya: -0.885 typical gaps (standard deviations), -1.26 score (higher = more)Sri Lanka: 0.602 typical gaps (standard deviations), -1.89 score (higher = more)Lesotho: 0.671 typical gaps (standard deviations), -1.35 score (higher = more)Lithuania: 1.14 typical gaps (standard deviations), -2.09 score (higher = more)Luxembourg: 1.38 typical gaps (standard deviations), -3.25 score (higher = more)Latvia: 1.22 typical gaps (standard deviations), -0.425 score (higher = more)Morocco: -0.351 typical gaps (standard deviations), 0.38 score (higher = more)Moldova: 0.5 typical gaps (standard deviations), -2.03 score (higher = more)Madagascar: -0.193 typical gaps (standard deviations), -0.928 score (higher = more)Maldives: 0.0802 typical gaps (standard deviations), 0.09 score (higher = more)Mexico: 0.134 typical gaps (standard deviations), 1.37 score (higher = more)North Macedonia: 0.352 typical gaps (standard deviations), -0.632 score (higher = more)Mali: -0.753 typical gaps (standard deviations), 1.1 score (higher = more)Malta: 1.12 typical gaps (standard deviations), -1.41 score (higher = more)Myanmar: -1.39 typical gaps (standard deviations), 0.491 score (higher = more)Montenegro: 0.55 typical gaps (standard deviations), -0.766 score (higher = more)Mongolia: 0.716 typical gaps (standard deviations), -1.41 score (higher = more)Mozambique: -0.298 typical gaps (standard deviations), -0.993 score (higher = more)Mauritania: -0.421 typical gaps (standard deviations), -1.25 score (higher = more)Mauritius: 1.07 typical gaps (standard deviations), 0.947 score (higher = more)Malawi: 0.576 typical gaps (standard deviations), -1.74 score (higher = more)Malaysia: 0.169 typical gaps (standard deviations), 1.07 score (higher = more)Namibia: 0.69 typical gaps (standard deviations), 0.061 score (higher = more)Niger: -0.548 typical gaps (standard deviations), 1.21 score (higher = more)Nigeria: -0.0132 typical gaps (standard deviations), -0.542 score (higher = more)Nicaragua: -1.24 typical gaps (standard deviations), 1.78 score (higher = more)Netherlands: 1.32 typical gaps (standard deviations), -2.03 score (higher = more)Norway: 1.43 typical gaps (standard deviations), -0.875 score (higher = more)Nepal: 0.441 typical gaps (standard deviations), -0.069 score (higher = more)New Zealand: 1.32 typical gaps (standard deviations), -0.527 score (higher = more)Oman: -0.665 typical gaps (standard deviations), 0.65 score (higher = more)Pakistan: -0.437 typical gaps (standard deviations), -1.52 score (higher = more)Panama: 0.84 typical gaps (standard deviations), -2.22 score (higher = more)Peru: 0.522 typical gaps (standard deviations), -1.57 score (higher = more)Philippines: 0.0585 typical gaps (standard deviations), -0.803 score (higher = more)Papua New Guinea: 0.227 typical gaps (standard deviations), -1.47 score (higher = more)Poland: 0.996 typical gaps (standard deviations), -0.341 score (higher = more)Portugal: 1.26 typical gaps (standard deviations), -2.53 score (higher = more)Paraguay: 0.349 typical gaps (standard deviations), -1.02 score (higher = more)Qatar: -0.908 typical gaps (standard deviations), 1.45 score (higher = more)Romania: 0.749 typical gaps (standard deviations), -1.5 score (higher = more)Russian Federation: -1.14 typical gaps (standard deviations), 1.76 score (higher = more)Rwanda: -0.868 typical gaps (standard deviations), 1.34 score (higher = more)Saudi Arabia: -1.14 typical gaps (standard deviations), 1.52 score (higher = more)Sudan: -1.22 typical gaps (standard deviations), -1.43 score (higher = more)Senegal: 0.683 typical gaps (standard deviations), 0.01 score (higher = more)Singapore: 0.0449 typical gaps (standard deviations), -0.544 score (higher = more)Solomon Islands: 0.697 typical gaps (standard deviations), -1.91 score (higher = more)Sierra Leone: 0.299 typical gaps (standard deviations), -0.911 score (higher = more)El Salvador: -0.352 typical gaps (standard deviations), -1.82 score (higher = more)Somalia, Fed. Rep.: -1.01 typical gaps (standard deviations), -0.639 score (higher = more)Serbia: -0.0738 typical gaps (standard deviations), 1.39 score (higher = more)Sao Tome and Principe: 0.8 typical gaps (standard deviations), -1.2 score (higher = more)Suriname: 0.996 typical gaps (standard deviations), -1.23 score (higher = more)Slovak Republic: 1.02 typical gaps (standard deviations), -1.55 score (higher = more)Slovenia: 1.19 typical gaps (standard deviations), -2.94 score (higher = more)Sweden: 1.42 typical gaps (standard deviations), -1.59 score (higher = more)Eswatini: -1.05 typical gaps (standard deviations), 3.19 score (higher = more)Seychelles: 0.975 typical gaps (standard deviations), -0.69 score (higher = more)Syrian Arab Republic: -1.05 typical gaps (standard deviations), 1.53 score (higher = more)Chad: -0.999 typical gaps (standard deviations), -1.02 score (higher = more)Togo: -0.371 typical gaps (standard deviations), -1.2 score (higher = more)Thailand: -0.383 typical gaps (standard deviations), 0.216 score (higher = more)Tajikistan: -1.34 typical gaps (standard deviations), 1.23 score (higher = more)Turkmenistan: -1.39 typical gaps (standard deviations), 2.09 score (higher = more)Timor-Leste: 0.779 typical gaps (standard deviations), -0.43 score (higher = more)Trinidad and Tobago: 1.03 typical gaps (standard deviations), -1.42 score (higher = more)Tunisia: -0.257 typical gaps (standard deviations), -1.03 score (higher = more)Turkiye: -0.691 typical gaps (standard deviations), 1.64 score (higher = more)Tanzania: -0.315 typical gaps (standard deviations), 0.81 score (higher = more)Uganda: -0.646 typical gaps (standard deviations), 0.254 score (higher = more)Ukraine: -0.0525 typical gaps (standard deviations), -0.18 score (higher = more)Uruguay: 1.39 typical gaps (standard deviations), -2.23 score (higher = more)United States: 0.998 typical gaps (standard deviations), -0.008 score (higher = more)Uzbekistan: -1.04 typical gaps (standard deviations), 0.208 score (higher = more)Viet Nam: -0.933 typical gaps (standard deviations), 2.02 score (higher = more)Vanuatu: 0.885 typical gaps (standard deviations), -0.878 score (higher = more)Kosovo: 0.371 typical gaps (standard deviations), -0.58 score (higher = more)South Africa: 0.883 typical gaps (standard deviations), 0.042 score (higher = more)Zambia: 0.212 typical gaps (standard deviations), -0.128 score (higher = more)Zimbabwe: -0.609 typical gaps (standard deviations), 1.41 score (higher = more)AFGBDIBRBCHECOGESTIRNISRLUXMUSSDNSWZ

best-fit line line after adjusting

Four ways to measure the link

MethodrpCountries
Standard (Pearson), not adjusted-0.5641.7e-15168
By rank (Spearman), not adjusted-0.5423.1e-14168
Standard (Pearson), adjusted for national income-0.5914.3e-17168
By rank (Spearman), adjusted for national income-0.5613.1e-15168

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 168 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: -0.027 (a minus sign means it grew).

How solid is it?

Leaving out one country at a time, r ranges from -0.602 (without BRB) to -0.580 (without IRN). 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: IRN (+0.011).

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 & Pacific21-0.72
Europe & Central Asia49-0.71
Latin America & Caribbean23-0.13
Middle East, North Africa, Afghanistan & Pakistan21-0.52
Sub-Saharan Africa46-0.34

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 third56-0.43
Middle third56-0.46
Richest third56-0.76

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
Christians99-0.49
Muslims48-0.44

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
France25-0.29
Never a European colony21-0.79
Spain19-0.28
United Kingdom49-0.40

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
Nationalist25-0.41
No strong official ideology116-0.22

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 banned26-0.21
No parties banned121-0.38

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 = -0.582 after dropping 2 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)

score (higher = more)
Years
Denmark DNK1.47-1.972025, 2023
Switzerland CHE1.47-2.92025, 2023
Norway NOR1.43-0.8752025, 2023
Sweden SWE1.42-1.592025, 2023
Ireland IRL1.41-1.442025, 2023
Belgium BEL1.41-2.632025, 2023
Estonia EST1.41-2.682025, 2023
Uruguay URY1.39-2.232025, 2023
Finland FIN1.38-0.642025, 2023
Australia AUS1.38-1.572025, 2023
Luxembourg LUX1.38-3.252025, 2023
Germany DEU1.36-2.292025, 2023
Canada CAN1.36-0.7552025, 2023
Costa Rica CRI1.34-0.9942025, 2023
Austria AUT1.33-2.542025, 2023

fh; un_sdg; vdem; wdi; wgi
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.

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.

Official ideology, strength

How far the government justifies itself with an official ideology

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

To what extent does the government promote a set of official beliefs, such as socialism, nationalism or a religion, to justify its rule? Experts answer from 0 ("not at all") to 4 ("almost exclusively"), and V-Dem turns the answers into a score of about -4 to +4. Which ideology it is appears in the "official ideology" label. V-Dem's coding of this question runs to 2023.

How this was computed

Data used: most recent value in 2010-2025; values come from 2020–2025. 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 Governance score and Official ideology, strength

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

More links with Governance score or Official ideology, strength