placestats

Infrastructure score vs. Political stability

Fades after adjusting for income

Across 194 countries, Infrastructure score and Political stability rise and fall together at r = +0.53 (on a scale from −1 to +1, where 0 means no link). Comparing only countries with similar income (GDP per person) shrinks it to +0.00, which could easily be chance (q = 0.99, 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: sign flips when a single country is removed.

Comparing countries across the middle half of political stability, -0.612 to 0.764 points, infrastructure score is better by 0.505 typical gaps at the top of that range than the bottom. Comparing only countries with similar national income, the gap is 0.00075 typical gaps.

Link before adjusting (r)+0.534p = 1.0e-15 · 194 countries
After adjusting for national income+0.002p = 0.983 · likely range [-0.14, +0.14]
p, allowing for regions0.989standard error 0.105 · 7 regions
Check for luck (q)0.993across 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
Political stability · index (approx. -2.5 to 2.5)link with income +0.56 · 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) →Political stability · index (approx. -2.5 to 2.5) →-1.011.78-2.491.54Aruba: 0.917 typical gaps (standard deviations), 1.33 index (approx. -2.5 to 2.5)Afghanistan: 0.116 typical gaps (standard deviations), -2.21 index (approx. -2.5 to 2.5)Angola: -0.152 typical gaps (standard deviations), -0.574 index (approx. -2.5 to 2.5)Albania: 1.14 typical gaps (standard deviations), 0.0205 index (approx. -2.5 to 2.5)Andorra: 1.78 typical gaps (standard deviations), 1.54 index (approx. -2.5 to 2.5)United Arab Emirates: 1.61 typical gaps (standard deviations), 0.789 index (approx. -2.5 to 2.5)Argentina: 1.25 typical gaps (standard deviations), -0.17 index (approx. -2.5 to 2.5)Armenia: 1.09 typical gaps (standard deviations), -0.723 index (approx. -2.5 to 2.5)Antigua and Barbuda: 0.859 typical gaps (standard deviations), 1.07 index (approx. -2.5 to 2.5)Australia: 1.5 typical gaps (standard deviations), 0.793 index (approx. -2.5 to 2.5)Austria: 1.37 typical gaps (standard deviations), 0.492 index (approx. -2.5 to 2.5)Azerbaijan: 1.19 typical gaps (standard deviations), -0.14 index (approx. -2.5 to 2.5)Burundi: -0.835 typical gaps (standard deviations), -1.38 index (approx. -2.5 to 2.5)Belgium: 1.64 typical gaps (standard deviations), 0.121 index (approx. -2.5 to 2.5)Benin: 0.00537 typical gaps (standard deviations), -0.403 index (approx. -2.5 to 2.5)Burkina Faso: -0.245 typical gaps (standard deviations), -1.91 index (approx. -2.5 to 2.5)Bangladesh: 0.649 typical gaps (standard deviations), -1.46 index (approx. -2.5 to 2.5)Bulgaria: 1.25 typical gaps (standard deviations), 0.0399 index (approx. -2.5 to 2.5)Bahrain: 1.17 typical gaps (standard deviations), -0.276 index (approx. -2.5 to 2.5)Bahamas, The: 1.25 typical gaps (standard deviations), 1.05 index (approx. -2.5 to 2.5)Bosnia and Herzegovina: 1.29 typical gaps (standard deviations), -0.501 index (approx. -2.5 to 2.5)Belarus: 1.48 typical gaps (standard deviations), -0.377 index (approx. -2.5 to 2.5)Belize: 0.573 typical gaps (standard deviations), 0.785 index (approx. -2.5 to 2.5)Bermuda: 1.68 typical gaps (standard deviations), 0.971 index (approx. -2.5 to 2.5)Bolivia: 0.886 typical gaps (standard deviations), -0.546 index (approx. -2.5 to 2.5)Brazil: 1.18 typical gaps (standard deviations), -0.521 index (approx. -2.5 to 2.5)Barbados: 1.31 typical gaps (standard deviations), 1.27 index (approx. -2.5 to 2.5)Brunei Darussalam: 1.22 typical gaps (standard deviations), 1.2 index (approx. -2.5 to 2.5)Bhutan: 0.847 typical gaps (standard deviations), 1.35 index (approx. -2.5 to 2.5)Botswana: 0.5 typical gaps (standard deviations), 1.03 index (approx. -2.5 to 2.5)Central African Republic: -1.01 typical gaps (standard deviations), -1.83 index (approx. -2.5 to 2.5)Canada: 1.56 typical gaps (standard deviations), 0.598 index (approx. -2.5 to 2.5)Switzerland: 1.7 typical gaps (standard deviations), 0.981 index (approx. -2.5 to 2.5)Chile: 1.25 typical gaps (standard deviations), 0.121 index (approx. -2.5 to 2.5)China: 1.66 typical gaps (standard deviations), -0.153 index (approx. -2.5 to 2.5)Cote d'Ivoire: 0.207 typical gaps (standard deviations), -0.844 index (approx. -2.5 to 2.5)Cameroon: 0.557 typical gaps (standard deviations), -1.56 index (approx. -2.5 to 2.5)Congo, Dem. Rep.: -0.672 typical gaps (standard deviations), -2.12 index (approx. -2.5 to 2.5)Congo, Rep.: 0.312 typical gaps (standard deviations), -0.258 index (approx. -2.5 to 2.5)Colombia: 1.01 typical gaps (standard deviations), -0.971 index (approx. -2.5 to 2.5)Comoros: 0.259 typical gaps (standard deviations), -0.221 index (approx. -2.5 to 2.5)Cabo Verde: 0.806 typical gaps (standard deviations), 0.77 index (approx. -2.5 to 2.5)Costa Rica: 1.19 typical gaps (standard deviations), 1.18 index (approx. -2.5 to 2.5)Cayman Islands: 1.58 typical gaps (standard deviations), 1.46 index (approx. -2.5 to 2.5)Cyprus: 1.47 typical gaps (standard deviations), 0.386 index (approx. -2.5 to 2.5)Czechia: 1.48 typical gaps (standard deviations), 0.972 index (approx. -2.5 to 2.5)Germany: 1.65 typical gaps (standard deviations), 0.124 index (approx. -2.5 to 2.5)Djibouti: 0.0105 typical gaps (standard deviations), -0.556 index (approx. -2.5 to 2.5)Dominica: 1.01 typical gaps (standard deviations), 1.23 index (approx. -2.5 to 2.5)Denmark: 1.65 typical gaps (standard deviations), 0.769 index (approx. -2.5 to 2.5)Dominican Republic: 0.956 typical gaps (standard deviations), 0.589 index (approx. -2.5 to 2.5)Algeria: 0.932 typical gaps (standard deviations), -0.694 index (approx. -2.5 to 2.5)Ecuador: 0.989 typical gaps (standard deviations), -0.721 index (approx. -2.5 to 2.5)Egypt, Arab Rep.: 0.864 typical gaps (standard deviations), -0.978 index (approx. -2.5 to 2.5)Spain: 1.55 typical gaps (standard deviations), -0.00299 index (approx. -2.5 to 2.5)Estonia: 1.45 typical gaps (standard deviations), 0.7 index (approx. -2.5 to 2.5)Ethiopia: -0.309 typical gaps (standard deviations), -1.88 index (approx. -2.5 to 2.5)Finland: 1.48 typical gaps (standard deviations), 0.833 index (approx. -2.5 to 2.5)Fiji: 0.665 typical gaps (standard deviations), 0.698 index (approx. -2.5 to 2.5)France: 1.7 typical gaps (standard deviations), -0.241 index (approx. -2.5 to 2.5)Micronesia, Fed. Sts.: -0.101 typical gaps (standard deviations), 1.5 index (approx. -2.5 to 2.5)Gabon: 0.665 typical gaps (standard deviations), -0.277 index (approx. -2.5 to 2.5)United Kingdom: 1.6 typical gaps (standard deviations), 0.258 index (approx. -2.5 to 2.5)Georgia: 1.29 typical gaps (standard deviations), -0.613 index (approx. -2.5 to 2.5)Ghana: 0.59 typical gaps (standard deviations), 0.0115 index (approx. -2.5 to 2.5)Guinea: 0.156 typical gaps (standard deviations), -1.04 index (approx. -2.5 to 2.5)Gambia, The: 0.215 typical gaps (standard deviations), -0.018 index (approx. -2.5 to 2.5)Guinea-Bissau: -0.158 typical gaps (standard deviations), -0.618 index (approx. -2.5 to 2.5)Equatorial Guinea: -0.269 typical gaps (standard deviations), -0.141 index (approx. -2.5 to 2.5)Greece: 1.57 typical gaps (standard deviations), 0.139 index (approx. -2.5 to 2.5)Grenada: 1.09 typical gaps (standard deviations), 1.2 index (approx. -2.5 to 2.5)Greenland: 1.24 typical gaps (standard deviations), 1.24 index (approx. -2.5 to 2.5)Guatemala: 0.576 typical gaps (standard deviations), -0.21 index (approx. -2.5 to 2.5)Guyana: 0.809 typical gaps (standard deviations), 0.216 index (approx. -2.5 to 2.5)Hong Kong SAR, China: 1.57 typical gaps (standard deviations), 0.631 index (approx. -2.5 to 2.5)Honduras: 0.417 typical gaps (standard deviations), -0.567 index (approx. -2.5 to 2.5)Croatia: 1.28 typical gaps (standard deviations), 0.581 index (approx. -2.5 to 2.5)Haiti: -0.312 typical gaps (standard deviations), -1.2 index (approx. -2.5 to 2.5)Hungary: 1.5 typical gaps (standard deviations), 0.436 index (approx. -2.5 to 2.5)Indonesia: 0.742 typical gaps (standard deviations), -0.609 index (approx. -2.5 to 2.5)India: 0.527 typical gaps (standard deviations), -0.786 index (approx. -2.5 to 2.5)Ireland: 1.43 typical gaps (standard deviations), 0.71 index (approx. -2.5 to 2.5)Iran, Islamic Rep.: 0.97 typical gaps (standard deviations), -1.58 index (approx. -2.5 to 2.5)Iraq: 1.04 typical gaps (standard deviations), -2.06 index (approx. -2.5 to 2.5)Iceland: 1.53 typical gaps (standard deviations), 1.21 index (approx. -2.5 to 2.5)Israel: 1.31 typical gaps (standard deviations), -1.04 index (approx. -2.5 to 2.5)Italy: 1.36 typical gaps (standard deviations), 0.309 index (approx. -2.5 to 2.5)Jamaica: 1.06 typical gaps (standard deviations), 0.477 index (approx. -2.5 to 2.5)Jordan: 0.776 typical gaps (standard deviations), -0.35 index (approx. -2.5 to 2.5)Japan: 1.45 typical gaps (standard deviations), 1.13 index (approx. -2.5 to 2.5)Kazakhstan: 1.09 typical gaps (standard deviations), -0.283 index (approx. -2.5 to 2.5)Kenya: 0.22 typical gaps (standard deviations), -1.36 index (approx. -2.5 to 2.5)Kyrgyz Republic: 0.943 typical gaps (standard deviations), -0.505 index (approx. -2.5 to 2.5)Cambodia: 0.689 typical gaps (standard deviations), 0.128 index (approx. -2.5 to 2.5)Kiribati: 0.485 typical gaps (standard deviations), 1.24 index (approx. -2.5 to 2.5)St. Kitts and Nevis: 1.19 typical gaps (standard deviations), 0.912 index (approx. -2.5 to 2.5)Korea, Rep.: 1.72 typical gaps (standard deviations), 0.639 index (approx. -2.5 to 2.5)Kuwait: 0.878 typical gaps (standard deviations), 0.294 index (approx. -2.5 to 2.5)Lao PDR: 0.399 typical gaps (standard deviations), 0.558 index (approx. -2.5 to 2.5)Lebanon: 0.731 typical gaps (standard deviations), -1.39 index (approx. -2.5 to 2.5)Liberia: -0.767 typical gaps (standard deviations), -0.229 index (approx. -2.5 to 2.5)Libya: 0.512 typical gaps (standard deviations), -1.9 index (approx. -2.5 to 2.5)St. Lucia: 0.881 typical gaps (standard deviations), 1.04 index (approx. -2.5 to 2.5)Sri Lanka: 0.669 typical gaps (standard deviations), -0.35 index (approx. -2.5 to 2.5)Lesotho: -0.0187 typical gaps (standard deviations), -0.259 index (approx. -2.5 to 2.5)Lithuania: 1.29 typical gaps (standard deviations), 0.939 index (approx. -2.5 to 2.5)Luxembourg: 1.59 typical gaps (standard deviations), 1.07 index (approx. -2.5 to 2.5)Latvia: 1.28 typical gaps (standard deviations), 0.62 index (approx. -2.5 to 2.5)Macao SAR, China: 1.33 typical gaps (standard deviations), 1.05 index (approx. -2.5 to 2.5)Morocco: 0.928 typical gaps (standard deviations), -0.441 index (approx. -2.5 to 2.5)Moldova: 1.23 typical gaps (standard deviations), -0.345 index (approx. -2.5 to 2.5)Madagascar: -0.434 typical gaps (standard deviations), -0.481 index (approx. -2.5 to 2.5)Maldives: 1.11 typical gaps (standard deviations), -0.0545 index (approx. -2.5 to 2.5)Mexico: 1.13 typical gaps (standard deviations), -0.715 index (approx. -2.5 to 2.5)Marshall Islands: 0.406 typical gaps (standard deviations), 1.28 index (approx. -2.5 to 2.5)North Macedonia: 1.36 typical gaps (standard deviations), 0.156 index (approx. -2.5 to 2.5)Mali: -0.495 typical gaps (standard deviations), -2.49 index (approx. -2.5 to 2.5)Malta: 1.63 typical gaps (standard deviations), 0.805 index (approx. -2.5 to 2.5)Myanmar: 0.298 typical gaps (standard deviations), -2.09 index (approx. -2.5 to 2.5)Montenegro: 1.37 typical gaps (standard deviations), 0.332 index (approx. -2.5 to 2.5)Mongolia: 1.03 typical gaps (standard deviations), 0.42 index (approx. -2.5 to 2.5)Mozambique: -0.592 typical gaps (standard deviations), -1.76 index (approx. -2.5 to 2.5)Mauritania: 0.0018 typical gaps (standard deviations), -0.56 index (approx. -2.5 to 2.5)Mauritius: 1.17 typical gaps (standard deviations), 0.79 index (approx. -2.5 to 2.5)Malawi: -0.672 typical gaps (standard deviations), -0.38 index (approx. -2.5 to 2.5)Malaysia: 1.09 typical gaps (standard deviations), 0.385 index (approx. -2.5 to 2.5)Namibia: 0.203 typical gaps (standard deviations), 0.547 index (approx. -2.5 to 2.5)Niger: -0.7 typical gaps (standard deviations), -1.76 index (approx. -2.5 to 2.5)Nigeria: -0.0861 typical gaps (standard deviations), -2 index (approx. -2.5 to 2.5)Nicaragua: 0.574 typical gaps (standard deviations), -0.0694 index (approx. -2.5 to 2.5)Netherlands: 1.63 typical gaps (standard deviations), 0.428 index (approx. -2.5 to 2.5)Norway: 1.68 typical gaps (standard deviations), 0.903 index (approx. -2.5 to 2.5)Nepal: 0.616 typical gaps (standard deviations), -0.415 index (approx. -2.5 to 2.5)Naoero: 0.872 typical gaps (standard deviations), 1.1 index (approx. -2.5 to 2.5)New Zealand: 1.51 typical gaps (standard deviations), 1.15 index (approx. -2.5 to 2.5)Oman: 1.03 typical gaps (standard deviations), 0.627 index (approx. -2.5 to 2.5)Pakistan: 0.386 typical gaps (standard deviations), -2.06 index (approx. -2.5 to 2.5)Panama: 0.927 typical gaps (standard deviations), 0.265 index (approx. -2.5 to 2.5)Peru: 0.907 typical gaps (standard deviations), -0.654 index (approx. -2.5 to 2.5)Philippines: 0.696 typical gaps (standard deviations), -0.774 index (approx. -2.5 to 2.5)Palau: 0.865 typical gaps (standard deviations), 1.24 index (approx. -2.5 to 2.5)Papua New Guinea: -0.611 typical gaps (standard deviations), -0.654 index (approx. -2.5 to 2.5)Poland: 1.24 typical gaps (standard deviations), 0.499 index (approx. -2.5 to 2.5)Puerto Rico (US): 1.14 typical gaps (standard deviations), 0.438 index (approx. -2.5 to 2.5)Portugal: 1.6 typical gaps (standard deviations), 0.537 index (approx. -2.5 to 2.5)Paraguay: 0.928 typical gaps (standard deviations), -0.0738 index (approx. -2.5 to 2.5)West Bank and Gaza: 0.774 typical gaps (standard deviations), -1.88 index (approx. -2.5 to 2.5)Qatar: 1.06 typical gaps (standard deviations), 0.951 index (approx. -2.5 to 2.5)Romania: 1.45 typical gaps (standard deviations), 0.159 index (approx. -2.5 to 2.5)Russian Federation: 1.32 typical gaps (standard deviations), -0.903 index (approx. -2.5 to 2.5)Rwanda: 0.0662 typical gaps (standard deviations), -0.0437 index (approx. -2.5 to 2.5)Saudi Arabia: 1.67 typical gaps (standard deviations), -0.0482 index (approx. -2.5 to 2.5)Sudan: -0.572 typical gaps (standard deviations), -2.02 index (approx. -2.5 to 2.5)Senegal: 0.482 typical gaps (standard deviations), -0.229 index (approx. -2.5 to 2.5)Singapore: 1.33 typical gaps (standard deviations), 1.23 index (approx. -2.5 to 2.5)Solomon Islands: 0.0941 typical gaps (standard deviations), 0.75 index (approx. -2.5 to 2.5)Sierra Leone: -0.336 typical gaps (standard deviations), -0.45 index (approx. -2.5 to 2.5)El Salvador: 0.822 typical gaps (standard deviations), 0.00613 index (approx. -2.5 to 2.5)San Marino: 1.5 typical gaps (standard deviations), 1.37 index (approx. -2.5 to 2.5)Somalia, Fed. Rep.: -0.395 typical gaps (standard deviations), -2.26 index (approx. -2.5 to 2.5)Serbia: 1.38 typical gaps (standard deviations), -0.169 index (approx. -2.5 to 2.5)Sao Tome and Principe: 0.187 typical gaps (standard deviations), 0.489 index (approx. -2.5 to 2.5)Suriname: 0.901 typical gaps (standard deviations), 0.478 index (approx. -2.5 to 2.5)Slovak Republic: 1.4 typical gaps (standard deviations), 0.634 index (approx. -2.5 to 2.5)Slovenia: 1.42 typical gaps (standard deviations), 0.721 index (approx. -2.5 to 2.5)Sweden: 1.57 typical gaps (standard deviations), 0.604 index (approx. -2.5 to 2.5)Eswatini: 0.534 typical gaps (standard deviations), -0.733 index (approx. -2.5 to 2.5)Seychelles: 1.35 typical gaps (standard deviations), 0.916 index (approx. -2.5 to 2.5)Syrian Arab Republic: 0.27 typical gaps (standard deviations), -2.37 index (approx. -2.5 to 2.5)Chad: -0.72 typical gaps (standard deviations), -1.78 index (approx. -2.5 to 2.5)Togo: -0.0274 typical gaps (standard deviations), -0.809 index (approx. -2.5 to 2.5)Thailand: 1.06 typical gaps (standard deviations), -0.683 index (approx. -2.5 to 2.5)Tajikistan: 0.389 typical gaps (standard deviations), -0.276 index (approx. -2.5 to 2.5)Turkmenistan: 0.294 typical gaps (standard deviations), 0.246 index (approx. -2.5 to 2.5)Timor-Leste: 0.389 typical gaps (standard deviations), 0.526 index (approx. -2.5 to 2.5)Tonga: 0.595 typical gaps (standard deviations), 1.25 index (approx. -2.5 to 2.5)Trinidad and Tobago: 1.22 typical gaps (standard deviations), 0.36 index (approx. -2.5 to 2.5)Tunisia: 0.956 typical gaps (standard deviations), -0.925 index (approx. -2.5 to 2.5)Turkiye: 1.19 typical gaps (standard deviations), -0.971 index (approx. -2.5 to 2.5)Tuvalu: 0.208 typical gaps (standard deviations), 1.47 index (approx. -2.5 to 2.5)Tanzania: -0.0741 typical gaps (standard deviations), -0.39 index (approx. -2.5 to 2.5)Uganda: -0.319 typical gaps (standard deviations), -1.02 index (approx. -2.5 to 2.5)Ukraine: 0.97 typical gaps (standard deviations), -0.432 index (approx. -2.5 to 2.5)Uruguay: 1.41 typical gaps (standard deviations), 1.28 index (approx. -2.5 to 2.5)United States: 1.53 typical gaps (standard deviations), -0.0951 index (approx. -2.5 to 2.5)Uzbekistan: 1.42 typical gaps (standard deviations), -0.0267 index (approx. -2.5 to 2.5)St. Vincent and the Grenadines: 1.22 typical gaps (standard deviations), 1.04 index (approx. -2.5 to 2.5)Virgin Islands (U.S.): 0.721 typical gaps (standard deviations), 0.971 index (approx. -2.5 to 2.5)Viet Nam: 1.17 typical gaps (standard deviations), 0.00567 index (approx. -2.5 to 2.5)Vanuatu: -0.0444 typical gaps (standard deviations), 0.96 index (approx. -2.5 to 2.5)Samoa: 0.0591 typical gaps (standard deviations), 1.24 index (approx. -2.5 to 2.5)South Africa: 0.709 typical gaps (standard deviations), -0.617 index (approx. -2.5 to 2.5)Zambia: -0.161 typical gaps (standard deviations), -0.101 index (approx. -2.5 to 2.5)Zimbabwe: 0.0863 typical gaps (standard deviations), -1.02 index (approx. -2.5 to 2.5)ANDCAFCODCYMFSMIRNIRQMLIPSESMRTUVWSM

best-fit line line after adjusting

Four ways to measure the link

MethodrpCountries
Standard (Pearson), not adjusted+0.5341.0e-15194
By rank (Spearman), not adjusted+0.4885.5e-13194
Standard (Pearson), adjusted for national income+0.0020.983194
By rank (Spearman), adjusted for national income-0.0600.406194

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: +0.533 (a minus sign means it grew).

How solid is it?

Leaving out one country at a time, r ranges from -0.023 (without KIR) to +0.021 (without PSE). 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: KIR (-0.024).

Fragile: this link may not hold up.
  • sign flips when a single country is removed
  • 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 & Pacific31-0.10
Europe & Central Asia51-0.08
Latin America & Caribbean35+0.14
Middle East, North Africa, Afghanistan & Pakistan22-0.09
Sub-Saharan Africa46+0.29

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+0.09
Middle third64-0.12
Richest third65+0.01

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+0.03
Muslims49+0.01

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+0.19
Never a European colony21-0.08
Spain20-0.19
United Kingdom63+0.19

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 = +0.002 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.

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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
Andorra AND1.781.542024
Korea, Rep. KOR1.720.6392024
Switzerland CHE1.70.9812024
France FRA1.7-0.2412024
Bermuda BMU1.680.9712024
Norway NOR1.680.9032024
Saudi Arabia SAU1.67-0.04822024
China CHN1.66-0.1532024
Denmark DNK1.650.7692024
Germany DEU1.650.1242024
Belgium BEL1.640.1212024
Malta MLT1.630.8052024
Netherlands NLD1.630.4282024
United Arab Emirates ARE1.610.7892024
Portugal PRT1.60.5372024

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.

Political stability

Political Stability and Absence of Violence/Terrorism (estimate)

World Bank · CC BY 4.0 · updated annual

How this was computed

Data used: most recent value in 2010-2025; values come from 2022–2024. 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 Political stability

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

More links with Infrastructure score or Political stability