placestats

Education score vs. Rule of law

Fades after adjusting for income

Across 189 countries, Education score and Rule of law rise and fall together at r = +0.68 (on a scale from −1 to +1, where 0 means no link). Comparing only countries with similar income (GDP per person) shrinks it to +0.26, which could easily be chance (q = 0.40, 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.

Comparing countries across the middle half of rule of law, -0.843 to 0.639 points, education score is better by 0.672 typical gaps at the top of that range than the bottom. Comparing only countries with similar national income, the gap is 0.21 typical gaps.

Link before adjusting (r)+0.681p = 4.3e-27 · 189 countries
After adjusting for national income+0.258p = 0.000 · likely range [+0.12, +0.39]
p, allowing for regions0.160standard error 0.161 · 7 regions
Check for luck (q)0.402across 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.

Education score · typical gaps (standard deviations)link with income +0.81 · proxy
Rule of law · index (approx. -2.5 to 2.5)link with income +0.72 · high

Both of these rise and fall closely with national income, so a strong link between them before adjusting was close to certain. Read the adjusted figure, not the first one.

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

Every country as a dot

Education score · typical gaps (standard deviations) →Rule of law · index (approx. -2.5 to 2.5) →-2.11.44-2.212.02Aruba: 0.697 typical gaps (standard deviations), 1.22 index (approx. -2.5 to 2.5)Afghanistan: -0.557 typical gaps (standard deviations), -1.94 index (approx. -2.5 to 2.5)Angola: -0.482 typical gaps (standard deviations), -1.17 index (approx. -2.5 to 2.5)Albania: 0.923 typical gaps (standard deviations), -0.119 index (approx. -2.5 to 2.5)Andorra: 0.892 typical gaps (standard deviations), 1.41 index (approx. -2.5 to 2.5)United Arab Emirates: 0.911 typical gaps (standard deviations), 0.497 index (approx. -2.5 to 2.5)Argentina: 1.03 typical gaps (standard deviations), -0.251 index (approx. -2.5 to 2.5)Armenia: 0.65 typical gaps (standard deviations), -0.142 index (approx. -2.5 to 2.5)Antigua and Barbuda: 0.912 typical gaps (standard deviations), 0.602 index (approx. -2.5 to 2.5)Australia: 1.03 typical gaps (standard deviations), 1.47 index (approx. -2.5 to 2.5)Austria: 1 typical gaps (standard deviations), 1.68 index (approx. -2.5 to 2.5)Azerbaijan: 0.629 typical gaps (standard deviations), -0.485 index (approx. -2.5 to 2.5)Burundi: -0.587 typical gaps (standard deviations), -1.3 index (approx. -2.5 to 2.5)Belgium: 1.25 typical gaps (standard deviations), 1.28 index (approx. -2.5 to 2.5)Benin: -0.586 typical gaps (standard deviations), -0.412 index (approx. -2.5 to 2.5)Burkina Faso: -0.582 typical gaps (standard deviations), -0.884 index (approx. -2.5 to 2.5)Bangladesh: 0.335 typical gaps (standard deviations), -0.96 index (approx. -2.5 to 2.5)Bulgaria: 0.794 typical gaps (standard deviations), -0.0333 index (approx. -2.5 to 2.5)Bahrain: 0.537 typical gaps (standard deviations), 0.168 index (approx. -2.5 to 2.5)Bahamas, The: 0.202 typical gaps (standard deviations), 0.251 index (approx. -2.5 to 2.5)Bosnia and Herzegovina: 0.607 typical gaps (standard deviations), -0.319 index (approx. -2.5 to 2.5)Belarus: 0.722 typical gaps (standard deviations), -1.23 index (approx. -2.5 to 2.5)Belize: 0.166 typical gaps (standard deviations), -0.397 index (approx. -2.5 to 2.5)Bermuda: 0.693 typical gaps (standard deviations), 0.8 index (approx. -2.5 to 2.5)Bolivia: 0.634 typical gaps (standard deviations), -1.27 index (approx. -2.5 to 2.5)Brazil: 0.731 typical gaps (standard deviations), -0.446 index (approx. -2.5 to 2.5)Barbados: 0.581 typical gaps (standard deviations), 0.728 index (approx. -2.5 to 2.5)Brunei Darussalam: 0.499 typical gaps (standard deviations), 0.588 index (approx. -2.5 to 2.5)Bhutan: 0.277 typical gaps (standard deviations), 0.79 index (approx. -2.5 to 2.5)Botswana: 0.469 typical gaps (standard deviations), 0.312 index (approx. -2.5 to 2.5)Central African Republic: -1.65 typical gaps (standard deviations), -1.71 index (approx. -2.5 to 2.5)Canada: 1.06 typical gaps (standard deviations), 1.46 index (approx. -2.5 to 2.5)Switzerland: 0.92 typical gaps (standard deviations), 1.76 index (approx. -2.5 to 2.5)Chile: 0.979 typical gaps (standard deviations), 0.691 index (approx. -2.5 to 2.5)China: 0.674 typical gaps (standard deviations), -0.579 index (approx. -2.5 to 2.5)Cote d'Ivoire: -0.0434 typical gaps (standard deviations), -0.578 index (approx. -2.5 to 2.5)Cameroon: -0.125 typical gaps (standard deviations), -1.25 index (approx. -2.5 to 2.5)Congo, Dem. Rep.: -0.251 typical gaps (standard deviations), -1.63 index (approx. -2.5 to 2.5)Congo, Rep.: 0.119 typical gaps (standard deviations), -1.18 index (approx. -2.5 to 2.5)Colombia: 0.63 typical gaps (standard deviations), -0.56 index (approx. -2.5 to 2.5)Comoros: 0.00771 typical gaps (standard deviations), -1.13 index (approx. -2.5 to 2.5)Cabo Verde: -0.216 typical gaps (standard deviations), 0.424 index (approx. -2.5 to 2.5)Costa Rica: 0.629 typical gaps (standard deviations), 0.617 index (approx. -2.5 to 2.5)Cyprus: 1.02 typical gaps (standard deviations), 0.689 index (approx. -2.5 to 2.5)Czechia: 1.08 typical gaps (standard deviations), 1.19 index (approx. -2.5 to 2.5)Germany: 0.938 typical gaps (standard deviations), 1.63 index (approx. -2.5 to 2.5)Djibouti: -0.825 typical gaps (standard deviations), -1.01 index (approx. -2.5 to 2.5)Dominica: 0.668 typical gaps (standard deviations), 0.397 index (approx. -2.5 to 2.5)Denmark: 0.941 typical gaps (standard deviations), 2 index (approx. -2.5 to 2.5)Dominican Republic: 0.651 typical gaps (standard deviations), -0.182 index (approx. -2.5 to 2.5)Algeria: 0.663 typical gaps (standard deviations), -0.697 index (approx. -2.5 to 2.5)Ecuador: 0.722 typical gaps (standard deviations), -0.965 index (approx. -2.5 to 2.5)Egypt, Arab Rep.: 0.489 typical gaps (standard deviations), -0.752 index (approx. -2.5 to 2.5)Spain: 0.983 typical gaps (standard deviations), 0.932 index (approx. -2.5 to 2.5)Estonia: 0.841 typical gaps (standard deviations), 1.49 index (approx. -2.5 to 2.5)Ethiopia: -0.777 typical gaps (standard deviations), -1.05 index (approx. -2.5 to 2.5)Finland: 1.02 typical gaps (standard deviations), 2.02 index (approx. -2.5 to 2.5)Fiji: 0.887 typical gaps (standard deviations), 0.306 index (approx. -2.5 to 2.5)France: 0.907 typical gaps (standard deviations), 0.979 index (approx. -2.5 to 2.5)Micronesia, Fed. Sts.: -0.00832 typical gaps (standard deviations), 0.977 index (approx. -2.5 to 2.5)Gabon: -0.00264 typical gaps (standard deviations), -1.16 index (approx. -2.5 to 2.5)United Kingdom: 1.19 typical gaps (standard deviations), 1.27 index (approx. -2.5 to 2.5)Georgia: 0.697 typical gaps (standard deviations), 0.149 index (approx. -2.5 to 2.5)Ghana: 0.168 typical gaps (standard deviations), 0.054 index (approx. -2.5 to 2.5)Guinea: -0.598 typical gaps (standard deviations), -1.15 index (approx. -2.5 to 2.5)Gambia, The: -0.345 typical gaps (standard deviations), -0.394 index (approx. -2.5 to 2.5)Guinea-Bissau: -1.3 typical gaps (standard deviations), -1.23 index (approx. -2.5 to 2.5)Equatorial Guinea: -0.759 typical gaps (standard deviations), -1.54 index (approx. -2.5 to 2.5)Greece: 1.31 typical gaps (standard deviations), 0.298 index (approx. -2.5 to 2.5)Grenada: 0.804 typical gaps (standard deviations), 0.541 index (approx. -2.5 to 2.5)Guatemala: 0.22 typical gaps (standard deviations), -0.962 index (approx. -2.5 to 2.5)Guyana: 0.39 typical gaps (standard deviations), -0.334 index (approx. -2.5 to 2.5)Hong Kong SAR, China: 1.34 typical gaps (standard deviations), 0.921 index (approx. -2.5 to 2.5)Honduras: 0.0516 typical gaps (standard deviations), -1.18 index (approx. -2.5 to 2.5)Croatia: 0.985 typical gaps (standard deviations), 0.377 index (approx. -2.5 to 2.5)Hungary: 0.83 typical gaps (standard deviations), 0.192 index (approx. -2.5 to 2.5)Indonesia: 0.591 typical gaps (standard deviations), -0.207 index (approx. -2.5 to 2.5)India: 0.605 typical gaps (standard deviations), -0.0392 index (approx. -2.5 to 2.5)Ireland: 1.18 typical gaps (standard deviations), 1.59 index (approx. -2.5 to 2.5)Iran, Islamic Rep.: 0.667 typical gaps (standard deviations), -1.23 index (approx. -2.5 to 2.5)Iraq: -0.133 typical gaps (standard deviations), -1.36 index (approx. -2.5 to 2.5)Iceland: 1.26 typical gaps (standard deviations), 1.63 index (approx. -2.5 to 2.5)Israel: 0.804 typical gaps (standard deviations), 0.6 index (approx. -2.5 to 2.5)Italy: 0.94 typical gaps (standard deviations), 0.619 index (approx. -2.5 to 2.5)Jamaica: 0.446 typical gaps (standard deviations), -0.0777 index (approx. -2.5 to 2.5)Jordan: 0.68 typical gaps (standard deviations), 0.169 index (approx. -2.5 to 2.5)Japan: 1.04 typical gaps (standard deviations), 1.51 index (approx. -2.5 to 2.5)Kazakhstan: 0.74 typical gaps (standard deviations), -0.382 index (approx. -2.5 to 2.5)Kenya: 0.0734 typical gaps (standard deviations), -0.465 index (approx. -2.5 to 2.5)Kyrgyz Republic: 0.764 typical gaps (standard deviations), -0.936 index (approx. -2.5 to 2.5)Cambodia: 0.174 typical gaps (standard deviations), -1.06 index (approx. -2.5 to 2.5)Kiribati: 0.376 typical gaps (standard deviations), 0.786 index (approx. -2.5 to 2.5)St. Kitts and Nevis: 1.13 typical gaps (standard deviations), 0.59 index (approx. -2.5 to 2.5)Korea, Rep.: 1.03 typical gaps (standard deviations), 1.12 index (approx. -2.5 to 2.5)Kuwait: 0.25 typical gaps (standard deviations), 0.231 index (approx. -2.5 to 2.5)Lao PDR: -0.35 typical gaps (standard deviations), -0.742 index (approx. -2.5 to 2.5)Lebanon: 0.088 typical gaps (standard deviations), -1.09 index (approx. -2.5 to 2.5)Liberia: -1.22 typical gaps (standard deviations), -0.868 index (approx. -2.5 to 2.5)St. Lucia: 0.462 typical gaps (standard deviations), 0.503 index (approx. -2.5 to 2.5)Sri Lanka: 0.421 typical gaps (standard deviations), -0.258 index (approx. -2.5 to 2.5)Lesotho: -0.337 typical gaps (standard deviations), -0.407 index (approx. -2.5 to 2.5)Lithuania: 0.928 typical gaps (standard deviations), 1.37 index (approx. -2.5 to 2.5)Luxembourg: 0.66 typical gaps (standard deviations), 1.76 index (approx. -2.5 to 2.5)Latvia: 0.923 typical gaps (standard deviations), 1.09 index (approx. -2.5 to 2.5)Macao SAR, China: 0.965 typical gaps (standard deviations), 0.852 index (approx. -2.5 to 2.5)Morocco: 0.345 typical gaps (standard deviations), -0.368 index (approx. -2.5 to 2.5)Moldova: 0.734 typical gaps (standard deviations), -0.161 index (approx. -2.5 to 2.5)Madagascar: -0.569 typical gaps (standard deviations), -0.883 index (approx. -2.5 to 2.5)Maldives: 0.427 typical gaps (standard deviations), 0.0443 index (approx. -2.5 to 2.5)Mexico: 0.636 typical gaps (standard deviations), -1.15 index (approx. -2.5 to 2.5)Marshall Islands: 0.934 typical gaps (standard deviations), 0.836 index (approx. -2.5 to 2.5)North Macedonia: 0.658 typical gaps (standard deviations), -0.225 index (approx. -2.5 to 2.5)Mali: -1.24 typical gaps (standard deviations), -1.09 index (approx. -2.5 to 2.5)Malta: 0.945 typical gaps (standard deviations), 0.727 index (approx. -2.5 to 2.5)Myanmar: -0.0676 typical gaps (standard deviations), -1.81 index (approx. -2.5 to 2.5)Montenegro: 0.943 typical gaps (standard deviations), 0.181 index (approx. -2.5 to 2.5)Mongolia: 0.749 typical gaps (standard deviations), -0.0998 index (approx. -2.5 to 2.5)Mozambique: -0.56 typical gaps (standard deviations), -1.19 index (approx. -2.5 to 2.5)Mauritania: -0.911 typical gaps (standard deviations), -0.864 index (approx. -2.5 to 2.5)Mauritius: 0.621 typical gaps (standard deviations), 0.639 index (approx. -2.5 to 2.5)Malawi: -0.546 typical gaps (standard deviations), -0.146 index (approx. -2.5 to 2.5)Malaysia: 0.529 typical gaps (standard deviations), 0.345 index (approx. -2.5 to 2.5)Namibia: 0.228 typical gaps (standard deviations), 0.328 index (approx. -2.5 to 2.5)Niger: -1.04 typical gaps (standard deviations), -0.946 index (approx. -2.5 to 2.5)Nigeria: -0.241 typical gaps (standard deviations), -1.01 index (approx. -2.5 to 2.5)Nicaragua: 0.168 typical gaps (standard deviations), -1.62 index (approx. -2.5 to 2.5)Netherlands: 1.27 typical gaps (standard deviations), 1.71 index (approx. -2.5 to 2.5)Norway: 1 typical gaps (standard deviations), 1.95 index (approx. -2.5 to 2.5)Nepal: 0.452 typical gaps (standard deviations), -0.304 index (approx. -2.5 to 2.5)Naoero: 0.496 typical gaps (standard deviations), 0.252 index (approx. -2.5 to 2.5)New Zealand: 1.44 typical gaps (standard deviations), 1.67 index (approx. -2.5 to 2.5)Oman: 0.293 typical gaps (standard deviations), 0.449 index (approx. -2.5 to 2.5)Pakistan: -0.556 typical gaps (standard deviations), -1.02 index (approx. -2.5 to 2.5)Panama: 0.393 typical gaps (standard deviations), -0.263 index (approx. -2.5 to 2.5)Peru: 0.773 typical gaps (standard deviations), -0.506 index (approx. -2.5 to 2.5)Philippines: 0.548 typical gaps (standard deviations), -0.574 index (approx. -2.5 to 2.5)Palau: 0.84 typical gaps (standard deviations), 1.17 index (approx. -2.5 to 2.5)Papua New Guinea: -0.297 typical gaps (standard deviations), -0.571 index (approx. -2.5 to 2.5)Poland: 0.952 typical gaps (standard deviations), 0.577 index (approx. -2.5 to 2.5)Puerto Rico (US): 0.956 typical gaps (standard deviations), 0.546 index (approx. -2.5 to 2.5)Portugal: 1.02 typical gaps (standard deviations), 1.07 index (approx. -2.5 to 2.5)Paraguay: 0.452 typical gaps (standard deviations), -0.584 index (approx. -2.5 to 2.5)West Bank and Gaza: 0.564 typical gaps (standard deviations), -0.989 index (approx. -2.5 to 2.5)Qatar: 0.734 typical gaps (standard deviations), 0.59 index (approx. -2.5 to 2.5)Romania: 0.584 typical gaps (standard deviations), 0.371 index (approx. -2.5 to 2.5)Russian Federation: 0.85 typical gaps (standard deviations), -1.16 index (approx. -2.5 to 2.5)Rwanda: -0.127 typical gaps (standard deviations), 0.1 index (approx. -2.5 to 2.5)Saudi Arabia: 0.8 typical gaps (standard deviations), 0.21 index (approx. -2.5 to 2.5)Sudan: -0.831 typical gaps (standard deviations), -1.77 index (approx. -2.5 to 2.5)Senegal: -0.815 typical gaps (standard deviations), -0.205 index (approx. -2.5 to 2.5)Singapore: 1.26 typical gaps (standard deviations), 1.43 index (approx. -2.5 to 2.5)Solomon Islands: -0.0603 typical gaps (standard deviations), 0.153 index (approx. -2.5 to 2.5)Sierra Leone: -0.279 typical gaps (standard deviations), -0.839 index (approx. -2.5 to 2.5)El Salvador: 0.37 typical gaps (standard deviations), -0.713 index (approx. -2.5 to 2.5)San Marino: 0.61 typical gaps (standard deviations), 1.16 index (approx. -2.5 to 2.5)Somalia, Fed. Rep.: -2.1 typical gaps (standard deviations), -2.21 index (approx. -2.5 to 2.5)Serbia: 0.761 typical gaps (standard deviations), -0.2 index (approx. -2.5 to 2.5)Sao Tome and Principe: 0.172 typical gaps (standard deviations), -0.353 index (approx. -2.5 to 2.5)Suriname: -0.157 typical gaps (standard deviations), -0.209 index (approx. -2.5 to 2.5)Slovak Republic: 0.801 typical gaps (standard deviations), 0.561 index (approx. -2.5 to 2.5)Slovenia: 1.18 typical gaps (standard deviations), 0.979 index (approx. -2.5 to 2.5)Sweden: 0.968 typical gaps (standard deviations), 1.73 index (approx. -2.5 to 2.5)Eswatini: 0.404 typical gaps (standard deviations), -0.86 index (approx. -2.5 to 2.5)Seychelles: 0.782 typical gaps (standard deviations), 0.597 index (approx. -2.5 to 2.5)Syrian Arab Republic: -0.332 typical gaps (standard deviations), -1.81 index (approx. -2.5 to 2.5)Chad: -1.2 typical gaps (standard deviations), -1.44 index (approx. -2.5 to 2.5)Togo: 0.075 typical gaps (standard deviations), -0.633 index (approx. -2.5 to 2.5)Thailand: 0.764 typical gaps (standard deviations), -0.216 index (approx. -2.5 to 2.5)Tajikistan: 0.525 typical gaps (standard deviations), -1.18 index (approx. -2.5 to 2.5)Turkmenistan: 0.598 typical gaps (standard deviations), -1.41 index (approx. -2.5 to 2.5)Timor-Leste: 0.12 typical gaps (standard deviations), -0.626 index (approx. -2.5 to 2.5)Tonga: 0.921 typical gaps (standard deviations), 0.694 index (approx. -2.5 to 2.5)Trinidad and Tobago: 0.581 typical gaps (standard deviations), -0.372 index (approx. -2.5 to 2.5)Tunisia: 0.496 typical gaps (standard deviations), -0.364 index (approx. -2.5 to 2.5)Turkiye: 1.03 typical gaps (standard deviations), -0.843 index (approx. -2.5 to 2.5)Tuvalu: 0.577 typical gaps (standard deviations), 1.22 index (approx. -2.5 to 2.5)Tanzania: -0.351 typical gaps (standard deviations), -0.519 index (approx. -2.5 to 2.5)Uganda: -0.832 typical gaps (standard deviations), -0.739 index (approx. -2.5 to 2.5)Ukraine: 0.784 typical gaps (standard deviations), -0.72 index (approx. -2.5 to 2.5)Uruguay: 0.9 typical gaps (standard deviations), 0.951 index (approx. -2.5 to 2.5)United States: 1.11 typical gaps (standard deviations), 0.962 index (approx. -2.5 to 2.5)Uzbekistan: 0.848 typical gaps (standard deviations), -0.656 index (approx. -2.5 to 2.5)St. Vincent and the Grenadines: 0.91 typical gaps (standard deviations), 0.502 index (approx. -2.5 to 2.5)Viet Nam: 0.537 typical gaps (standard deviations), -0.314 index (approx. -2.5 to 2.5)Vanuatu: 0.198 typical gaps (standard deviations), 0.422 index (approx. -2.5 to 2.5)Samoa: 0.515 typical gaps (standard deviations), 1.05 index (approx. -2.5 to 2.5)South Africa: 0.665 typical gaps (standard deviations), 0.0177 index (approx. -2.5 to 2.5)Zambia: -0.123 typical gaps (standard deviations), -0.561 index (approx. -2.5 to 2.5)Zimbabwe: 0.181 typical gaps (standard deviations), -1.21 index (approx. -2.5 to 2.5)BLRCAFFINFSMLBRNLDNZLRUSSENSOMTCDTUR

best-fit line line after adjusting

Four ways to measure the link

MethodrpCountries
Standard (Pearson), not adjusted+0.6814.3e-27189
By rank (Spearman), not adjusted+0.7121.4e-30189
Standard (Pearson), adjusted for national income+0.2580.000189
By rank (Spearman), adjusted for national income+0.3151.1e-5189

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 189 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: +0.422 (a minus sign means it grew).

How solid is it?

Leaving out one country at a time, r ranges from +0.234 (without GNQ) to +0.270 (without LUX). 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: GNQ (-0.025).

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 & Pacific31+0.56
Europe & Central Asia50+0.24
Latin America & Caribbean32+0.34
Middle East, North Africa, Afghanistan & Pakistan21+0.28
Sub-Saharan Africa46+0.43

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 third63+0.47
Middle third63+0.22
Richest third63+0.45

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
Christians109+0.23
Muslims48-0.04

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 colony21-0.19
Spain20+0.32
United Kingdom62+0.64

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 = +0.261 after dropping 6 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


typical gaps (standard deviations)

index (approx. -2.5 to 2.5)
Years
New Zealand NZL1.441.672023, 2024
Hong Kong SAR, China HKG1.340.9212024
Greece GRC1.310.2982023, 2024
Netherlands NLD1.271.712023, 2024
Iceland ISL1.261.632023, 2024
Singapore SGP1.261.432023, 2024
Belgium BEL1.251.282023, 2024
United Kingdom GBR1.191.272023, 2024
Ireland IRL1.181.592022, 2024
Slovenia SVN1.180.9792023, 2024
St. Kitts and Nevis KNA1.130.592016, 2024
United States USA1.110.9622022, 2024
Czechia CZE1.081.192023, 2024
Canada CAN1.061.462023, 2024
Japan JPN1.041.512023, 2024

uis; undp_hdr; wdi
Kaufmann, D. and A. Kraay, Worldwide Governance Indicators, World Bank

Sources

Education score

Education score

PlaceStats · via PlaceStats · Derived work; each member keeps its own licence · updated recomputed with the panel

The average of 10 measures from 3 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: Primary completion, Expected schooling, Mean years of schooling, Adult literacy, Pupil-teacher ratio, Primary enrollment, Out of school, primary, Secondary enrollment, Tertiary enrollment, Researchers.

Rule of law

Rule of Law (estimate)

World Bank · CC BY 4.0 · updated annual

How this was computed

Data used: most recent value in 2010-2025; values come from 2010–2025. 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 Education score and Rule of law

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

More links with Education score or Rule of law