placestats

Infrastructure score vs. Voice and accountability

Fades after adjusting for income

Across 194 countries, Infrastructure score and Voice and accountability rise and fall together at r = +0.55 (on a scale from −1 to +1, where 0 means no link). Comparing only countries with similar income (GDP per person) shrinks it to +0.11, which could easily be chance (q = 0.38, 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. Caution: direction is not consistent across regions.

Comparing countries across the middle half of voice and accountability, -0.962 to 0.791 points, infrastructure score is better by 0.636 typical gaps at the top of that range than the bottom. Comparing only countries with similar national income, the gap is 0.0623 typical gaps.

Link before adjusting (r)+0.553p = 6.4e-17 · 194 countries
After adjusting for national income+0.105p = 0.144 · likely range [-0.04, +0.24]
p, allowing for regions0.060standard error 0.046 · 7 regions
Check for luck (q)0.381across 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.

Infrastructure score · typical gaps (standard deviations)link with income +0.90 · proxy
Voice and accountability · index (approx. -2.5 to 2.5)link with income +0.58 · moderate

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

Every country as a dot

Infrastructure score · typical gaps (standard deviations) →Voice and accountability · index (approx. -2.5 to 2.5) →-1.011.78-2.151.93Aruba: 0.917 typical gaps (standard deviations), 0.958 index (approx. -2.5 to 2.5)Afghanistan: 0.116 typical gaps (standard deviations), -2.15 index (approx. -2.5 to 2.5)Angola: -0.152 typical gaps (standard deviations), -1.06 index (approx. -2.5 to 2.5)Albania: 1.14 typical gaps (standard deviations), -0.0124 index (approx. -2.5 to 2.5)Andorra: 1.78 typical gaps (standard deviations), 0.789 index (approx. -2.5 to 2.5)United Arab Emirates: 1.61 typical gaps (standard deviations), -0.854 index (approx. -2.5 to 2.5)Argentina: 1.25 typical gaps (standard deviations), 0.386 index (approx. -2.5 to 2.5)Armenia: 1.09 typical gaps (standard deviations), 0.12 index (approx. -2.5 to 2.5)Antigua and Barbuda: 0.859 typical gaps (standard deviations), 0.512 index (approx. -2.5 to 2.5)Australia: 1.5 typical gaps (standard deviations), 1.51 index (approx. -2.5 to 2.5)Austria: 1.37 typical gaps (standard deviations), 1.41 index (approx. -2.5 to 2.5)Azerbaijan: 1.19 typical gaps (standard deviations), -1.5 index (approx. -2.5 to 2.5)Burundi: -0.835 typical gaps (standard deviations), -1.49 index (approx. -2.5 to 2.5)Belgium: 1.64 typical gaps (standard deviations), 1.5 index (approx. -2.5 to 2.5)Benin: 0.00537 typical gaps (standard deviations), -0.38 index (approx. -2.5 to 2.5)Burkina Faso: -0.245 typical gaps (standard deviations), -0.964 index (approx. -2.5 to 2.5)Bangladesh: 0.649 typical gaps (standard deviations), -1.16 index (approx. -2.5 to 2.5)Bulgaria: 1.25 typical gaps (standard deviations), 0.213 index (approx. -2.5 to 2.5)Bahrain: 1.17 typical gaps (standard deviations), -1.32 index (approx. -2.5 to 2.5)Bahamas, The: 1.25 typical gaps (standard deviations), 0.553 index (approx. -2.5 to 2.5)Bosnia and Herzegovina: 1.29 typical gaps (standard deviations), -0.395 index (approx. -2.5 to 2.5)Belarus: 1.48 typical gaps (standard deviations), -1.69 index (approx. -2.5 to 2.5)Belize: 0.573 typical gaps (standard deviations), 0.104 index (approx. -2.5 to 2.5)Bermuda: 1.68 typical gaps (standard deviations), 1.06 index (approx. -2.5 to 2.5)Bolivia: 0.886 typical gaps (standard deviations), -0.44 index (approx. -2.5 to 2.5)Brazil: 1.18 typical gaps (standard deviations), 0.316 index (approx. -2.5 to 2.5)Barbados: 1.31 typical gaps (standard deviations), 0.994 index (approx. -2.5 to 2.5)Brunei Darussalam: 1.22 typical gaps (standard deviations), -0.8 index (approx. -2.5 to 2.5)Bhutan: 0.847 typical gaps (standard deviations), 0.401 index (approx. -2.5 to 2.5)Botswana: 0.5 typical gaps (standard deviations), 0.295 index (approx. -2.5 to 2.5)Central African Republic: -1.01 typical gaps (standard deviations), -1.31 index (approx. -2.5 to 2.5)Canada: 1.56 typical gaps (standard deviations), 1.5 index (approx. -2.5 to 2.5)Switzerland: 1.7 typical gaps (standard deviations), 1.64 index (approx. -2.5 to 2.5)Chile: 1.25 typical gaps (standard deviations), 0.994 index (approx. -2.5 to 2.5)China: 1.66 typical gaps (standard deviations), -1.65 index (approx. -2.5 to 2.5)Cote d'Ivoire: 0.207 typical gaps (standard deviations), -0.617 index (approx. -2.5 to 2.5)Cameroon: 0.557 typical gaps (standard deviations), -1.24 index (approx. -2.5 to 2.5)Congo, Dem. Rep.: -0.672 typical gaps (standard deviations), -1.21 index (approx. -2.5 to 2.5)Congo, Rep.: 0.312 typical gaps (standard deviations), -1.31 index (approx. -2.5 to 2.5)Colombia: 1.01 typical gaps (standard deviations), 0.0346 index (approx. -2.5 to 2.5)Comoros: 0.259 typical gaps (standard deviations), -1.24 index (approx. -2.5 to 2.5)Cabo Verde: 0.806 typical gaps (standard deviations), 0.791 index (approx. -2.5 to 2.5)Costa Rica: 1.19 typical gaps (standard deviations), 1.01 index (approx. -2.5 to 2.5)Cayman Islands: 1.58 typical gaps (standard deviations), 0.958 index (approx. -2.5 to 2.5)Cyprus: 1.47 typical gaps (standard deviations), 0.887 index (approx. -2.5 to 2.5)Czechia: 1.48 typical gaps (standard deviations), 1.25 index (approx. -2.5 to 2.5)Germany: 1.65 typical gaps (standard deviations), 1.6 index (approx. -2.5 to 2.5)Djibouti: 0.0105 typical gaps (standard deviations), -1.25 index (approx. -2.5 to 2.5)Dominica: 1.01 typical gaps (standard deviations), 0.38 index (approx. -2.5 to 2.5)Denmark: 1.65 typical gaps (standard deviations), 1.89 index (approx. -2.5 to 2.5)Dominican Republic: 0.956 typical gaps (standard deviations), 0.201 index (approx. -2.5 to 2.5)Algeria: 0.932 typical gaps (standard deviations), -1.05 index (approx. -2.5 to 2.5)Ecuador: 0.989 typical gaps (standard deviations), -0.105 index (approx. -2.5 to 2.5)Egypt, Arab Rep.: 0.864 typical gaps (standard deviations), -1.6 index (approx. -2.5 to 2.5)Spain: 1.55 typical gaps (standard deviations), 1.15 index (approx. -2.5 to 2.5)Estonia: 1.45 typical gaps (standard deviations), 1.41 index (approx. -2.5 to 2.5)Ethiopia: -0.309 typical gaps (standard deviations), -1.24 index (approx. -2.5 to 2.5)Finland: 1.48 typical gaps (standard deviations), 1.85 index (approx. -2.5 to 2.5)Fiji: 0.665 typical gaps (standard deviations), 0.332 index (approx. -2.5 to 2.5)France: 1.7 typical gaps (standard deviations), 1.15 index (approx. -2.5 to 2.5)Micronesia, Fed. Sts.: -0.101 typical gaps (standard deviations), 0.903 index (approx. -2.5 to 2.5)Gabon: 0.665 typical gaps (standard deviations), -1.02 index (approx. -2.5 to 2.5)United Kingdom: 1.6 typical gaps (standard deviations), 1.3 index (approx. -2.5 to 2.5)Georgia: 1.29 typical gaps (standard deviations), -0.254 index (approx. -2.5 to 2.5)Ghana: 0.59 typical gaps (standard deviations), 0.204 index (approx. -2.5 to 2.5)Guinea: 0.156 typical gaps (standard deviations), -1.21 index (approx. -2.5 to 2.5)Gambia, The: 0.215 typical gaps (standard deviations), -0.182 index (approx. -2.5 to 2.5)Guinea-Bissau: -0.158 typical gaps (standard deviations), -0.779 index (approx. -2.5 to 2.5)Equatorial Guinea: -0.269 typical gaps (standard deviations), -1.73 index (approx. -2.5 to 2.5)Greece: 1.57 typical gaps (standard deviations), 0.782 index (approx. -2.5 to 2.5)Grenada: 1.09 typical gaps (standard deviations), 0.379 index (approx. -2.5 to 2.5)Greenland: 1.24 typical gaps (standard deviations), 1.4 index (approx. -2.5 to 2.5)Guatemala: 0.576 typical gaps (standard deviations), -0.471 index (approx. -2.5 to 2.5)Guyana: 0.809 typical gaps (standard deviations), -0.107 index (approx. -2.5 to 2.5)Hong Kong SAR, China: 1.57 typical gaps (standard deviations), -0.321 index (approx. -2.5 to 2.5)Honduras: 0.417 typical gaps (standard deviations), -0.654 index (approx. -2.5 to 2.5)Croatia: 1.28 typical gaps (standard deviations), 0.649 index (approx. -2.5 to 2.5)Haiti: -0.312 typical gaps (standard deviations), -1.26 index (approx. -2.5 to 2.5)Hungary: 1.5 typical gaps (standard deviations), -0.0277 index (approx. -2.5 to 2.5)Indonesia: 0.742 typical gaps (standard deviations), -0.175 index (approx. -2.5 to 2.5)India: 0.527 typical gaps (standard deviations), -0.0789 index (approx. -2.5 to 2.5)Ireland: 1.43 typical gaps (standard deviations), 1.64 index (approx. -2.5 to 2.5)Iran, Islamic Rep.: 0.97 typical gaps (standard deviations), -1.55 index (approx. -2.5 to 2.5)Iraq: 1.04 typical gaps (standard deviations), -1.02 index (approx. -2.5 to 2.5)Iceland: 1.53 typical gaps (standard deviations), 1.42 index (approx. -2.5 to 2.5)Israel: 1.31 typical gaps (standard deviations), 0.295 index (approx. -2.5 to 2.5)Italy: 1.36 typical gaps (standard deviations), 1.07 index (approx. -2.5 to 2.5)Jamaica: 1.06 typical gaps (standard deviations), 0.485 index (approx. -2.5 to 2.5)Jordan: 0.776 typical gaps (standard deviations), -0.714 index (approx. -2.5 to 2.5)Japan: 1.45 typical gaps (standard deviations), 1.12 index (approx. -2.5 to 2.5)Kazakhstan: 1.09 typical gaps (standard deviations), -0.816 index (approx. -2.5 to 2.5)Kenya: 0.22 typical gaps (standard deviations), -0.354 index (approx. -2.5 to 2.5)Kyrgyz Republic: 0.943 typical gaps (standard deviations), -0.801 index (approx. -2.5 to 2.5)Cambodia: 0.689 typical gaps (standard deviations), -1.67 index (approx. -2.5 to 2.5)Kiribati: 0.485 typical gaps (standard deviations), 0.973 index (approx. -2.5 to 2.5)St. Kitts and Nevis: 1.19 typical gaps (standard deviations), 0.46 index (approx. -2.5 to 2.5)Korea, Rep.: 1.72 typical gaps (standard deviations), 0.808 index (approx. -2.5 to 2.5)Kuwait: 0.878 typical gaps (standard deviations), -0.718 index (approx. -2.5 to 2.5)Lao PDR: 0.399 typical gaps (standard deviations), -1.47 index (approx. -2.5 to 2.5)Lebanon: 0.731 typical gaps (standard deviations), -0.773 index (approx. -2.5 to 2.5)Liberia: -0.767 typical gaps (standard deviations), -0.112 index (approx. -2.5 to 2.5)Libya: 0.512 typical gaps (standard deviations), -1.34 index (approx. -2.5 to 2.5)St. Lucia: 0.881 typical gaps (standard deviations), 0.611 index (approx. -2.5 to 2.5)Sri Lanka: 0.669 typical gaps (standard deviations), -0.126 index (approx. -2.5 to 2.5)Lesotho: -0.0187 typical gaps (standard deviations), -0.155 index (approx. -2.5 to 2.5)Lithuania: 1.29 typical gaps (standard deviations), 1.22 index (approx. -2.5 to 2.5)Luxembourg: 1.59 typical gaps (standard deviations), 1.67 index (approx. -2.5 to 2.5)Latvia: 1.28 typical gaps (standard deviations), 1.13 index (approx. -2.5 to 2.5)Macao SAR, China: 1.33 typical gaps (standard deviations), 0.0636 index (approx. -2.5 to 2.5)Morocco: 0.928 typical gaps (standard deviations), -0.727 index (approx. -2.5 to 2.5)Moldova: 1.23 typical gaps (standard deviations), 0.284 index (approx. -2.5 to 2.5)Madagascar: -0.434 typical gaps (standard deviations), -0.725 index (approx. -2.5 to 2.5)Maldives: 1.11 typical gaps (standard deviations), -0.412 index (approx. -2.5 to 2.5)Mexico: 1.13 typical gaps (standard deviations), -0.338 index (approx. -2.5 to 2.5)Marshall Islands: 0.406 typical gaps (standard deviations), 0.954 index (approx. -2.5 to 2.5)North Macedonia: 1.36 typical gaps (standard deviations), 0.0737 index (approx. -2.5 to 2.5)Mali: -0.495 typical gaps (standard deviations), -1.22 index (approx. -2.5 to 2.5)Malta: 1.63 typical gaps (standard deviations), 0.922 index (approx. -2.5 to 2.5)Myanmar: 0.298 typical gaps (standard deviations), -2.12 index (approx. -2.5 to 2.5)Montenegro: 1.37 typical gaps (standard deviations), 0.391 index (approx. -2.5 to 2.5)Mongolia: 1.03 typical gaps (standard deviations), 0.127 index (approx. -2.5 to 2.5)Mozambique: -0.592 typical gaps (standard deviations), -1.01 index (approx. -2.5 to 2.5)Mauritania: 0.0018 typical gaps (standard deviations), -0.925 index (approx. -2.5 to 2.5)Mauritius: 1.17 typical gaps (standard deviations), 0.369 index (approx. -2.5 to 2.5)Malawi: -0.672 typical gaps (standard deviations), -0.109 index (approx. -2.5 to 2.5)Malaysia: 1.09 typical gaps (standard deviations), -0.127 index (approx. -2.5 to 2.5)Namibia: 0.203 typical gaps (standard deviations), 0.337 index (approx. -2.5 to 2.5)Niger: -0.7 typical gaps (standard deviations), -0.971 index (approx. -2.5 to 2.5)Nigeria: -0.0861 typical gaps (standard deviations), -0.727 index (approx. -2.5 to 2.5)Nicaragua: 0.574 typical gaps (standard deviations), -1.72 index (approx. -2.5 to 2.5)Netherlands: 1.63 typical gaps (standard deviations), 1.65 index (approx. -2.5 to 2.5)Norway: 1.68 typical gaps (standard deviations), 1.93 index (approx. -2.5 to 2.5)Nepal: 0.616 typical gaps (standard deviations), -0.0598 index (approx. -2.5 to 2.5)Naoero: 0.872 typical gaps (standard deviations), 0.599 index (approx. -2.5 to 2.5)New Zealand: 1.51 typical gaps (standard deviations), 1.69 index (approx. -2.5 to 2.5)Oman: 1.03 typical gaps (standard deviations), -0.888 index (approx. -2.5 to 2.5)Pakistan: 0.386 typical gaps (standard deviations), -1.17 index (approx. -2.5 to 2.5)Panama: 0.927 typical gaps (standard deviations), 0.441 index (approx. -2.5 to 2.5)Peru: 0.907 typical gaps (standard deviations), 0.0456 index (approx. -2.5 to 2.5)Philippines: 0.696 typical gaps (standard deviations), -0.355 index (approx. -2.5 to 2.5)Palau: 0.865 typical gaps (standard deviations), 1.04 index (approx. -2.5 to 2.5)Papua New Guinea: -0.611 typical gaps (standard deviations), -0.326 index (approx. -2.5 to 2.5)Poland: 1.24 typical gaps (standard deviations), 0.752 index (approx. -2.5 to 2.5)Puerto Rico (US): 1.14 typical gaps (standard deviations), 0.378 index (approx. -2.5 to 2.5)Portugal: 1.6 typical gaps (standard deviations), 1.27 index (approx. -2.5 to 2.5)Paraguay: 0.928 typical gaps (standard deviations), -0.15 index (approx. -2.5 to 2.5)West Bank and Gaza: 0.774 typical gaps (standard deviations), -1.35 index (approx. -2.5 to 2.5)Qatar: 1.06 typical gaps (standard deviations), -0.954 index (approx. -2.5 to 2.5)Romania: 1.45 typical gaps (standard deviations), 0.387 index (approx. -2.5 to 2.5)Russian Federation: 1.32 typical gaps (standard deviations), -1.42 index (approx. -2.5 to 2.5)Rwanda: 0.0662 typical gaps (standard deviations), -0.589 index (approx. -2.5 to 2.5)Saudi Arabia: 1.67 typical gaps (standard deviations), -1.55 index (approx. -2.5 to 2.5)Sudan: -0.572 typical gaps (standard deviations), -1.88 index (approx. -2.5 to 2.5)Senegal: 0.482 typical gaps (standard deviations), 0.0161 index (approx. -2.5 to 2.5)Singapore: 1.33 typical gaps (standard deviations), 0.0383 index (approx. -2.5 to 2.5)Solomon Islands: 0.0941 typical gaps (standard deviations), 0.327 index (approx. -2.5 to 2.5)Sierra Leone: -0.336 typical gaps (standard deviations), -0.513 index (approx. -2.5 to 2.5)El Salvador: 0.822 typical gaps (standard deviations), -0.788 index (approx. -2.5 to 2.5)San Marino: 1.5 typical gaps (standard deviations), 1.25 index (approx. -2.5 to 2.5)Somalia, Fed. Rep.: -0.395 typical gaps (standard deviations), -1.58 index (approx. -2.5 to 2.5)Serbia: 1.38 typical gaps (standard deviations), -0.466 index (approx. -2.5 to 2.5)Sao Tome and Principe: 0.187 typical gaps (standard deviations), 0.165 index (approx. -2.5 to 2.5)Suriname: 0.901 typical gaps (standard deviations), 0.0554 index (approx. -2.5 to 2.5)Slovak Republic: 1.4 typical gaps (standard deviations), 0.93 index (approx. -2.5 to 2.5)Slovenia: 1.42 typical gaps (standard deviations), 1.06 index (approx. -2.5 to 2.5)Sweden: 1.57 typical gaps (standard deviations), 1.73 index (approx. -2.5 to 2.5)Eswatini: 0.534 typical gaps (standard deviations), -1.35 index (approx. -2.5 to 2.5)Seychelles: 1.35 typical gaps (standard deviations), 0.634 index (approx. -2.5 to 2.5)Syrian Arab Republic: 0.27 typical gaps (standard deviations), -1.85 index (approx. -2.5 to 2.5)Chad: -0.72 typical gaps (standard deviations), -1.52 index (approx. -2.5 to 2.5)Togo: -0.0274 typical gaps (standard deviations), -0.972 index (approx. -2.5 to 2.5)Thailand: 1.06 typical gaps (standard deviations), -0.56 index (approx. -2.5 to 2.5)Tajikistan: 0.389 typical gaps (standard deviations), -1.64 index (approx. -2.5 to 2.5)Turkmenistan: 0.294 typical gaps (standard deviations), -2.04 index (approx. -2.5 to 2.5)Timor-Leste: 0.389 typical gaps (standard deviations), 0.346 index (approx. -2.5 to 2.5)Tonga: 0.595 typical gaps (standard deviations), 0.821 index (approx. -2.5 to 2.5)Trinidad and Tobago: 1.22 typical gaps (standard deviations), 0.406 index (approx. -2.5 to 2.5)Tunisia: 0.956 typical gaps (standard deviations), -0.684 index (approx. -2.5 to 2.5)Turkiye: 1.19 typical gaps (standard deviations), -1.09 index (approx. -2.5 to 2.5)Tuvalu: 0.208 typical gaps (standard deviations), 1.19 index (approx. -2.5 to 2.5)Tanzania: -0.0741 typical gaps (standard deviations), -0.645 index (approx. -2.5 to 2.5)Uganda: -0.319 typical gaps (standard deviations), -1.01 index (approx. -2.5 to 2.5)Ukraine: 0.97 typical gaps (standard deviations), -0.111 index (approx. -2.5 to 2.5)Uruguay: 1.41 typical gaps (standard deviations), 1.23 index (approx. -2.5 to 2.5)United States: 1.53 typical gaps (standard deviations), 0.887 index (approx. -2.5 to 2.5)Uzbekistan: 1.42 typical gaps (standard deviations), -1.04 index (approx. -2.5 to 2.5)St. Vincent and the Grenadines: 1.22 typical gaps (standard deviations), 0.503 index (approx. -2.5 to 2.5)Virgin Islands (U.S.): 0.721 typical gaps (standard deviations), 0.833 index (approx. -2.5 to 2.5)Viet Nam: 1.17 typical gaps (standard deviations), -1.1 index (approx. -2.5 to 2.5)Vanuatu: -0.0444 typical gaps (standard deviations), 0.486 index (approx. -2.5 to 2.5)Samoa: 0.0591 typical gaps (standard deviations), 0.888 index (approx. -2.5 to 2.5)South Africa: 0.709 typical gaps (standard deviations), 0.607 index (approx. -2.5 to 2.5)Zambia: -0.161 typical gaps (standard deviations), -0.408 index (approx. -2.5 to 2.5)Zimbabwe: 0.0863 typical gaps (standard deviations), -1.26 index (approx. -2.5 to 2.5)BDIBLRCAFCHECHNDNKFSMLBRMWINORSAUSDN

best-fit line line after adjusting

Four ways to measure the link

MethodrpCountries
Standard (Pearson), not adjusted+0.5536.4e-17194
By rank (Spearman), not adjusted+0.5771.3e-18194
Standard (Pearson), adjusted for national income+0.1050.144194
By rank (Spearman), adjusted for national income+0.1490.039194

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 194 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: +0.447 (a minus sign means it grew).

How solid is it?

Leaving out one country at a time, r ranges from +0.074 (without GNQ) to +0.134 (without CHN). 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 (-0.032).

Fragile: this link may not hold up.
  • direction is not consistent across regions

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 & Pacific31-0.08
Europe & Central Asia51+0.31
Latin America & Caribbean35+0.44
Middle East, North Africa, Afghanistan & Pakistan22+0.27
Sub-Saharan Africa46+0.38

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 third65-0.01
Middle third64+0.11
Richest third65+0.44

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
Christians111+0.15
Muslims49+0.11

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+0.13
Never a European colony21+0.02
Spain20+0.29
United Kingdom63+0.35

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 = +0.105 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
Andorra AND1.780.7892024
Korea, Rep. KOR1.720.8082024
Switzerland CHE1.71.642024
France FRA1.71.152024
Bermuda BMU1.681.062024, 2017
Norway NOR1.681.932024
Saudi Arabia SAU1.67-1.552024
China CHN1.66-1.652024
Denmark DNK1.651.892024
Germany DEU1.651.62024
Belgium BEL1.641.52024
Malta MLT1.630.9222024
Netherlands NLD1.631.652024
United Arab Emirates ARE1.61-0.8542024
Portugal PRT1.61.272024

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

Sources

Infrastructure score

Infrastructure score

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

The average of 5 measures from 1 publisher. 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: Electricity access, Slum share of urban population, Mobile subscriptions, Fixed broadband, Internet users.

Voice and accountability

Voice and Accountability (estimate)

World Bank · CC BY 4.0 · updated annual

How this was computed

Data used: most recent value in 2010-2025; values come from 2017–2024. 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 Infrastructure score and Voice and accountability

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

More links with Infrastructure score or Voice and accountability