placestats

Governance score vs. Government effectiveness

Fades after adjusting for income

Across 171 countries, Governance score and Government effectiveness rise and fall together at r = +0.64 (on a scale from −1 to +1, where 0 means no link). Comparing only countries with similar income (GDP per person) shrinks it to +0.48, which could easily be chance (q = 0.050, allowing for the many pairs tested, and allowing for countries in the same region being alike). So the first figure mostly shows richer countries differing from poorer ones, not a link between these two things. Government effectiveness is one of the measures Governance score is built from, so the two are bound to match. Their link is arithmetic, not a relationship between two things.

Comparing countries across the middle half of government effectiveness, -0.711 to 0.665 points, governance score is better by 0.806 typical gaps at the top of that range than the bottom. Comparing only countries with similar national income, the gap is 0.948 typical gaps.

Link before adjusting (r)+0.645p = 1.8e-21 · 171 countries
After adjusting for national income+0.480p = 3.4e-11 · likely range [+0.36, +0.59]
p, allowing for regions0.006standard error 0.114 · 7 regions
Check for luck (q)0.050across 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.

Governance score · typical gaps (standard deviations)link with income +0.53 · moderate
Government effectiveness · index (approx. -2.5 to 2.5)link with income +0.85 · proxy

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

Built from the same numbers. Government effectiveness is one of the measures Governance score is built from, so the two are bound to match. Their link is arithmetic, not a relationship between two things.

Every country as a dot

Governance score · typical gaps (standard deviations) →Government effectiveness · index (approx. -2.5 to 2.5) →-1.41.47-2.022.28Afghanistan: -1.4 typical gaps (standard deviations), -1.93 index (approx. -2.5 to 2.5)Angola: -0.522 typical gaps (standard deviations), -0.785 index (approx. -2.5 to 2.5)Albania: 0.323 typical gaps (standard deviations), 0.312 index (approx. -2.5 to 2.5)Andorra: 0.558 typical gaps (standard deviations), 1.16 index (approx. -2.5 to 2.5)United Arab Emirates: -0.981 typical gaps (standard deviations), 1.26 index (approx. -2.5 to 2.5)Argentina: 0.815 typical gaps (standard deviations), 0.184 index (approx. -2.5 to 2.5)Armenia: 0.22 typical gaps (standard deviations), -0.364 index (approx. -2.5 to 2.5)Australia: 1.38 typical gaps (standard deviations), 1.81 index (approx. -2.5 to 2.5)Austria: 1.33 typical gaps (standard deviations), 1.51 index (approx. -2.5 to 2.5)Azerbaijan: -1.33 typical gaps (standard deviations), 0.166 index (approx. -2.5 to 2.5)Burundi: -1.09 typical gaps (standard deviations), -1.01 index (approx. -2.5 to 2.5)Belgium: 1.41 typical gaps (standard deviations), 1.19 index (approx. -2.5 to 2.5)Benin: 0.285 typical gaps (standard deviations), -0.185 index (approx. -2.5 to 2.5)Burkina Faso: -0.784 typical gaps (standard deviations), -0.875 index (approx. -2.5 to 2.5)Bangladesh: -0.359 typical gaps (standard deviations), -0.619 index (approx. -2.5 to 2.5)Bulgaria: 0.74 typical gaps (standard deviations), 0.0428 index (approx. -2.5 to 2.5)Bahrain: -1.05 typical gaps (standard deviations), 0.6 index (approx. -2.5 to 2.5)Bosnia and Herzegovina: 0.0899 typical gaps (standard deviations), -0.635 index (approx. -2.5 to 2.5)Belarus: -1.26 typical gaps (standard deviations), -0.702 index (approx. -2.5 to 2.5)Belize: 0.0883 typical gaps (standard deviations), -0.129 index (approx. -2.5 to 2.5)Bolivia: 0.552 typical gaps (standard deviations), -0.61 index (approx. -2.5 to 2.5)Brazil: 0.85 typical gaps (standard deviations), -0.224 index (approx. -2.5 to 2.5)Barbados: 1.24 typical gaps (standard deviations), 0.605 index (approx. -2.5 to 2.5)Bhutan: 0.61 typical gaps (standard deviations), 0.581 index (approx. -2.5 to 2.5)Botswana: 0.872 typical gaps (standard deviations), 0.417 index (approx. -2.5 to 2.5)Central African Republic: -1.02 typical gaps (standard deviations), -1.58 index (approx. -2.5 to 2.5)Canada: 1.36 typical gaps (standard deviations), 1.76 index (approx. -2.5 to 2.5)Switzerland: 1.47 typical gaps (standard deviations), 1.84 index (approx. -2.5 to 2.5)Chile: 1.32 typical gaps (standard deviations), 0.964 index (approx. -2.5 to 2.5)China: -1.2 typical gaps (standard deviations), 0.896 index (approx. -2.5 to 2.5)Cote d'Ivoire: -0.116 typical gaps (standard deviations), -0.316 index (approx. -2.5 to 2.5)Cameroon: -0.834 typical gaps (standard deviations), -0.801 index (approx. -2.5 to 2.5)Congo, Dem. Rep.: -0.824 typical gaps (standard deviations), -1.69 index (approx. -2.5 to 2.5)Congo, Rep.: -0.925 typical gaps (standard deviations), -1.11 index (approx. -2.5 to 2.5)Colombia: 0.733 typical gaps (standard deviations), -0.111 index (approx. -2.5 to 2.5)Comoros: -0.464 typical gaps (standard deviations), -1.21 index (approx. -2.5 to 2.5)Cabo Verde: 1.15 typical gaps (standard deviations), 0.415 index (approx. -2.5 to 2.5)Costa Rica: 1.34 typical gaps (standard deviations), 0.287 index (approx. -2.5 to 2.5)Cyprus: 1.1 typical gaps (standard deviations), 0.87 index (approx. -2.5 to 2.5)Czechia: 1.31 typical gaps (standard deviations), 1.18 index (approx. -2.5 to 2.5)Germany: 1.36 typical gaps (standard deviations), 1.55 index (approx. -2.5 to 2.5)Djibouti: -0.784 typical gaps (standard deviations), -0.493 index (approx. -2.5 to 2.5)Denmark: 1.47 typical gaps (standard deviations), 1.91 index (approx. -2.5 to 2.5)Dominican Republic: 0.621 typical gaps (standard deviations), 0.0746 index (approx. -2.5 to 2.5)Algeria: -0.695 typical gaps (standard deviations), -0.251 index (approx. -2.5 to 2.5)Ecuador: 0.447 typical gaps (standard deviations), -0.22 index (approx. -2.5 to 2.5)Egypt, Arab Rep.: -0.987 typical gaps (standard deviations), -0.0971 index (approx. -2.5 to 2.5)Spain: 1.32 typical gaps (standard deviations), 1.11 index (approx. -2.5 to 2.5)Estonia: 1.41 typical gaps (standard deviations), 1.3 index (approx. -2.5 to 2.5)Ethiopia: -0.741 typical gaps (standard deviations), -0.646 index (approx. -2.5 to 2.5)Finland: 1.38 typical gaps (standard deviations), 1.82 index (approx. -2.5 to 2.5)Fiji: 0.57 typical gaps (standard deviations), 0.609 index (approx. -2.5 to 2.5)France: 1.24 typical gaps (standard deviations), 1.2 index (approx. -2.5 to 2.5)Gabon: -0.529 typical gaps (standard deviations), -0.567 index (approx. -2.5 to 2.5)United Kingdom: 1.27 typical gaps (standard deviations), 1.18 index (approx. -2.5 to 2.5)Georgia: 0.0179 typical gaps (standard deviations), 0.456 index (approx. -2.5 to 2.5)Ghana: 0.845 typical gaps (standard deviations), 0.0596 index (approx. -2.5 to 2.5)Guinea: -0.676 typical gaps (standard deviations), -0.888 index (approx. -2.5 to 2.5)Gambia, The: 0.362 typical gaps (standard deviations), -0.536 index (approx. -2.5 to 2.5)Guinea-Bissau: -0.465 typical gaps (standard deviations), -1.37 index (approx. -2.5 to 2.5)Equatorial Guinea: -1.32 typical gaps (standard deviations), -1.18 index (approx. -2.5 to 2.5)Greece: 0.914 typical gaps (standard deviations), 0.191 index (approx. -2.5 to 2.5)Guatemala: 0.291 typical gaps (standard deviations), -0.909 index (approx. -2.5 to 2.5)Guyana: 0.538 typical gaps (standard deviations), -0.0982 index (approx. -2.5 to 2.5)Hong Kong SAR, China: -0.536 typical gaps (standard deviations), 1.64 index (approx. -2.5 to 2.5)Honduras: 0.146 typical gaps (standard deviations), -0.62 index (approx. -2.5 to 2.5)Croatia: 0.865 typical gaps (standard deviations), 0.71 index (approx. -2.5 to 2.5)Haiti: -0.66 typical gaps (standard deviations), -2.02 index (approx. -2.5 to 2.5)Hungary: 0.225 typical gaps (standard deviations), 0.502 index (approx. -2.5 to 2.5)Indonesia: 0.125 typical gaps (standard deviations), 0.18 index (approx. -2.5 to 2.5)India: 0.146 typical gaps (standard deviations), 0.405 index (approx. -2.5 to 2.5)Ireland: 1.41 typical gaps (standard deviations), 1.61 index (approx. -2.5 to 2.5)Iran, Islamic Rep.: -1.26 typical gaps (standard deviations), -0.706 index (approx. -2.5 to 2.5)Iraq: -0.488 typical gaps (standard deviations), -1.1 index (approx. -2.5 to 2.5)Iceland: 1.32 typical gaps (standard deviations), 1.65 index (approx. -2.5 to 2.5)Israel: 0.783 typical gaps (standard deviations), 1.17 index (approx. -2.5 to 2.5)Italy: 1 typical gaps (standard deviations), 0.792 index (approx. -2.5 to 2.5)Jamaica: 1.01 typical gaps (standard deviations), 0.171 index (approx. -2.5 to 2.5)Jordan: -0.271 typical gaps (standard deviations), 0.216 index (approx. -2.5 to 2.5)Japan: 1.28 typical gaps (standard deviations), 2.09 index (approx. -2.5 to 2.5)Kazakhstan: -0.796 typical gaps (standard deviations), 0.147 index (approx. -2.5 to 2.5)Kenya: 0.217 typical gaps (standard deviations), -0.298 index (approx. -2.5 to 2.5)Kyrgyz Republic: -0.725 typical gaps (standard deviations), -0.889 index (approx. -2.5 to 2.5)Cambodia: -1.01 typical gaps (standard deviations), -0.294 index (approx. -2.5 to 2.5)Korea, Rep.: 1.05 typical gaps (standard deviations), 1.49 index (approx. -2.5 to 2.5)Kuwait: -0.696 typical gaps (standard deviations), 0.328 index (approx. -2.5 to 2.5)Lao PDR: -1.14 typical gaps (standard deviations), -0.582 index (approx. -2.5 to 2.5)Lebanon: -0.112 typical gaps (standard deviations), -1.13 index (approx. -2.5 to 2.5)Liberia: 0.416 typical gaps (standard deviations), -1.25 index (approx. -2.5 to 2.5)Libya: -0.885 typical gaps (standard deviations), -1.42 index (approx. -2.5 to 2.5)St. Lucia: 0.552 typical gaps (standard deviations), 0.268 index (approx. -2.5 to 2.5)Sri Lanka: 0.602 typical gaps (standard deviations), -0.275 index (approx. -2.5 to 2.5)Lesotho: 0.671 typical gaps (standard deviations), -0.647 index (approx. -2.5 to 2.5)Lithuania: 1.14 typical gaps (standard deviations), 1.2 index (approx. -2.5 to 2.5)Luxembourg: 1.38 typical gaps (standard deviations), 2.04 index (approx. -2.5 to 2.5)Latvia: 1.22 typical gaps (standard deviations), 0.743 index (approx. -2.5 to 2.5)Morocco: -0.351 typical gaps (standard deviations), 0.176 index (approx. -2.5 to 2.5)Moldova: 0.5 typical gaps (standard deviations), 0.258 index (approx. -2.5 to 2.5)Madagascar: -0.193 typical gaps (standard deviations), -0.863 index (approx. -2.5 to 2.5)Maldives: 0.0802 typical gaps (standard deviations), -0.221 index (approx. -2.5 to 2.5)Mexico: 0.134 typical gaps (standard deviations), -0.22 index (approx. -2.5 to 2.5)North Macedonia: 0.352 typical gaps (standard deviations), -0.0323 index (approx. -2.5 to 2.5)Mali: -0.753 typical gaps (standard deviations), -1.29 index (approx. -2.5 to 2.5)Malta: 1.12 typical gaps (standard deviations), 0.622 index (approx. -2.5 to 2.5)Myanmar: -1.39 typical gaps (standard deviations), -1.56 index (approx. -2.5 to 2.5)Montenegro: 0.55 typical gaps (standard deviations), 0.366 index (approx. -2.5 to 2.5)Mongolia: 0.716 typical gaps (standard deviations), -0.389 index (approx. -2.5 to 2.5)Mozambique: -0.298 typical gaps (standard deviations), -0.716 index (approx. -2.5 to 2.5)Mauritania: -0.421 typical gaps (standard deviations), -0.741 index (approx. -2.5 to 2.5)Mauritius: 1.07 typical gaps (standard deviations), 0.765 index (approx. -2.5 to 2.5)Malawi: 0.576 typical gaps (standard deviations), -0.726 index (approx. -2.5 to 2.5)Malaysia: 0.169 typical gaps (standard deviations), 0.915 index (approx. -2.5 to 2.5)Namibia: 0.69 typical gaps (standard deviations), 0.0993 index (approx. -2.5 to 2.5)Niger: -0.548 typical gaps (standard deviations), -0.77 index (approx. -2.5 to 2.5)Nigeria: -0.0132 typical gaps (standard deviations), -1.01 index (approx. -2.5 to 2.5)Nicaragua: -1.24 typical gaps (standard deviations), -1.05 index (approx. -2.5 to 2.5)Netherlands: 1.32 typical gaps (standard deviations), 1.75 index (approx. -2.5 to 2.5)Norway: 1.43 typical gaps (standard deviations), 1.84 index (approx. -2.5 to 2.5)Nepal: 0.441 typical gaps (standard deviations), -0.885 index (approx. -2.5 to 2.5)New Zealand: 1.32 typical gaps (standard deviations), 1.85 index (approx. -2.5 to 2.5)Oman: -0.665 typical gaps (standard deviations), 0.568 index (approx. -2.5 to 2.5)Pakistan: -0.437 typical gaps (standard deviations), -0.6 index (approx. -2.5 to 2.5)Panama: 0.84 typical gaps (standard deviations), 0.245 index (approx. -2.5 to 2.5)Peru: 0.522 typical gaps (standard deviations), -0.2 index (approx. -2.5 to 2.5)Philippines: 0.0585 typical gaps (standard deviations), 0.145 index (approx. -2.5 to 2.5)Papua New Guinea: 0.227 typical gaps (standard deviations), -0.9 index (approx. -2.5 to 2.5)Poland: 0.996 typical gaps (standard deviations), 0.673 index (approx. -2.5 to 2.5)Portugal: 1.26 typical gaps (standard deviations), 0.947 index (approx. -2.5 to 2.5)Paraguay: 0.349 typical gaps (standard deviations), -0.355 index (approx. -2.5 to 2.5)Qatar: -0.908 typical gaps (standard deviations), 1.13 index (approx. -2.5 to 2.5)Romania: 0.749 typical gaps (standard deviations), 0.418 index (approx. -2.5 to 2.5)Russian Federation: -1.14 typical gaps (standard deviations), -0.322 index (approx. -2.5 to 2.5)Rwanda: -0.868 typical gaps (standard deviations), 0.349 index (approx. -2.5 to 2.5)Saudi Arabia: -1.14 typical gaps (standard deviations), 0.783 index (approx. -2.5 to 2.5)Sudan: -1.22 typical gaps (standard deviations), -1.79 index (approx. -2.5 to 2.5)Senegal: 0.683 typical gaps (standard deviations), 0.234 index (approx. -2.5 to 2.5)Singapore: 0.0449 typical gaps (standard deviations), 2.28 index (approx. -2.5 to 2.5)Solomon Islands: 0.697 typical gaps (standard deviations), -0.869 index (approx. -2.5 to 2.5)Sierra Leone: 0.299 typical gaps (standard deviations), -0.967 index (approx. -2.5 to 2.5)El Salvador: -0.352 typical gaps (standard deviations), -0.183 index (approx. -2.5 to 2.5)Somalia, Fed. Rep.: -1.01 typical gaps (standard deviations), -1.95 index (approx. -2.5 to 2.5)Serbia: -0.0738 typical gaps (standard deviations), 0.102 index (approx. -2.5 to 2.5)Sao Tome and Principe: 0.8 typical gaps (standard deviations), -0.719 index (approx. -2.5 to 2.5)Suriname: 0.996 typical gaps (standard deviations), -0.454 index (approx. -2.5 to 2.5)Slovak Republic: 1.02 typical gaps (standard deviations), 0.658 index (approx. -2.5 to 2.5)Slovenia: 1.19 typical gaps (standard deviations), 1.09 index (approx. -2.5 to 2.5)Sweden: 1.42 typical gaps (standard deviations), 1.77 index (approx. -2.5 to 2.5)Eswatini: -1.05 typical gaps (standard deviations), -0.781 index (approx. -2.5 to 2.5)Seychelles: 0.975 typical gaps (standard deviations), 0.627 index (approx. -2.5 to 2.5)Syrian Arab Republic: -1.05 typical gaps (standard deviations), -1.67 index (approx. -2.5 to 2.5)Chad: -0.999 typical gaps (standard deviations), -1.1 index (approx. -2.5 to 2.5)Togo: -0.371 typical gaps (standard deviations), -0.801 index (approx. -2.5 to 2.5)Thailand: -0.383 typical gaps (standard deviations), 0.254 index (approx. -2.5 to 2.5)Tajikistan: -1.34 typical gaps (standard deviations), -0.601 index (approx. -2.5 to 2.5)Turkmenistan: -1.39 typical gaps (standard deviations), -1.06 index (approx. -2.5 to 2.5)Timor-Leste: 0.779 typical gaps (standard deviations), -0.899 index (approx. -2.5 to 2.5)Trinidad and Tobago: 1.03 typical gaps (standard deviations), 0.111 index (approx. -2.5 to 2.5)Tunisia: -0.257 typical gaps (standard deviations), -0.239 index (approx. -2.5 to 2.5)Turkiye: -0.691 typical gaps (standard deviations), -0.0707 index (approx. -2.5 to 2.5)Tanzania: -0.315 typical gaps (standard deviations), -0.292 index (approx. -2.5 to 2.5)Uganda: -0.646 typical gaps (standard deviations), -0.35 index (approx. -2.5 to 2.5)Ukraine: -0.0525 typical gaps (standard deviations), -0.599 index (approx. -2.5 to 2.5)Uruguay: 1.39 typical gaps (standard deviations), 0.69 index (approx. -2.5 to 2.5)United States: 0.998 typical gaps (standard deviations), 1.36 index (approx. -2.5 to 2.5)Uzbekistan: -1.04 typical gaps (standard deviations), -0.144 index (approx. -2.5 to 2.5)Viet Nam: -0.933 typical gaps (standard deviations), -0.0923 index (approx. -2.5 to 2.5)Vanuatu: 0.885 typical gaps (standard deviations), -0.817 index (approx. -2.5 to 2.5)Kosovo: 0.371 typical gaps (standard deviations), -0.0613 index (approx. -2.5 to 2.5)South Africa: 0.883 typical gaps (standard deviations), -0.226 index (approx. -2.5 to 2.5)Zambia: 0.212 typical gaps (standard deviations), -0.533 index (approx. -2.5 to 2.5)Zimbabwe: -0.609 typical gaps (standard deviations), -0.988 index (approx. -2.5 to 2.5)AFGAREDNKHKGJPNLBRLUXMMRSDNSGPTLSVUT

best-fit line line after adjusting

Four ways to measure the link

MethodrpCountries
Standard (Pearson), not adjusted+0.6451.8e-21171
By rank (Spearman), not adjusted+0.6524.3e-22171
Standard (Pearson), adjusted for national income+0.4803.4e-11171
By rank (Spearman), adjusted for national income+0.4544.9e-10171

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 171 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: +0.165 (a minus sign means it grew).

How solid is it?

Leaving out one country at a time, r ranges from +0.464 (without TKM) to +0.500 (without RWA). 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: RWA (+0.020).

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+0.54
Europe & Central Asia50+0.62
Latin America & Caribbean25+0.57
Middle East, North Africa, Afghanistan & Pakistan21+0.25
Sub-Saharan Africa46+0.60

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 third57+0.43
Middle third57+0.44
Richest third57+0.55

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
Christians101+0.56
Muslims48+0.37

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+0.51
Never a European colony21+0.46
Spain19+0.53
United Kingdom51+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 = +0.480 after dropping 0 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 (approx. -2.5 to 2.5)
Years
Denmark DNK1.471.912025, 2024
Switzerland CHE1.471.842025, 2024
Norway NOR1.431.842025, 2024
Sweden SWE1.421.772025, 2024
Ireland IRL1.411.612025, 2024
Belgium BEL1.411.192025, 2024
Estonia EST1.411.32025, 2024
Uruguay URY1.390.692025, 2024
Finland FIN1.381.822025, 2024
Australia AUS1.381.812025, 2024
Luxembourg LUX1.382.042025, 2024
Germany DEU1.361.552025, 2024
Canada CAN1.361.762025, 2024
Costa Rica CRI1.340.2872025, 2024
Austria AUT1.331.512025, 2024

fh; un_sdg; vdem; wdi; wgi
Kaufmann, D. and A. Kraay, Worldwide Governance Indicators, World Bank

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.

Government effectiveness

Government Effectiveness (estimate)

World Bank · CC BY 4.0 · updated annual

How this was computed

Data used: most recent value in 2010-2025; values come from 2011–2025. 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 Governance score and Government effectiveness

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

More links with Governance score or Government effectiveness