placestats

Government effectiveness vs. Labour score

Fades after adjusting for income

Across 185 countries, Government effectiveness and Labour score rise and fall together at r = +0.67 (on a scale from −1 to +1, where 0 means no link). Comparing only countries with similar income (GDP per person) shrinks it to +0.19, 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. Caution: direction is not consistent across regions.

Comparing countries across the middle half of government effectiveness, -0.691 to 0.627 points, labour score is better by 0.628 typical gaps at the top of that range than the bottom. Comparing only countries with similar national income, the gap is 0.216 typical gaps.

Link before adjusting (r)+0.671p = 1.6e-25 · 185 countries
After adjusting for national income+0.186p = 0.012 · likely range [+0.04, +0.32]
p, allowing for regions0.201standard error 0.130 · 7 regions
Check for luck (q)0.405across 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.

Government effectiveness · index (approx. -2.5 to 2.5)link with income +0.85 · proxy
Labour score · typical gaps (standard deviations)link with income +0.79 · 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

Government effectiveness · index (approx. -2.5 to 2.5) →Labour score · typical gaps (standard deviations) →-2.022.28-1.971.36Afghanistan: -1.93 index (approx. -2.5 to 2.5), -1.26 typical gaps (standard deviations)Angola: -0.785 index (approx. -2.5 to 2.5), -0.939 typical gaps (standard deviations)Albania: 0.312 index (approx. -2.5 to 2.5), -0.39 typical gaps (standard deviations)United Arab Emirates: 1.26 index (approx. -2.5 to 2.5), 1.17 typical gaps (standard deviations)Argentina: 0.184 index (approx. -2.5 to 2.5), 0.34 typical gaps (standard deviations)Armenia: -0.364 index (approx. -2.5 to 2.5), -0.302 typical gaps (standard deviations)Antigua and Barbuda: 0.43 index (approx. -2.5 to 2.5), 0.235 typical gaps (standard deviations)Australia: 1.81 index (approx. -2.5 to 2.5), 0.867 typical gaps (standard deviations)Austria: 1.51 index (approx. -2.5 to 2.5), 0.671 typical gaps (standard deviations)Azerbaijan: 0.166 index (approx. -2.5 to 2.5), -0.0868 typical gaps (standard deviations)Burundi: -1.01 index (approx. -2.5 to 2.5), -0.275 typical gaps (standard deviations)Belgium: 1.19 index (approx. -2.5 to 2.5), 0.682 typical gaps (standard deviations)Benin: -0.185 index (approx. -2.5 to 2.5), -0.233 typical gaps (standard deviations)Burkina Faso: -0.875 index (approx. -2.5 to 2.5), -0.52 typical gaps (standard deviations)Bangladesh: -0.619 index (approx. -2.5 to 2.5), -0.0147 typical gaps (standard deviations)Bulgaria: 0.0428 index (approx. -2.5 to 2.5), 0.954 typical gaps (standard deviations)Bahrain: 0.6 index (approx. -2.5 to 2.5), 1.27 typical gaps (standard deviations)Bahamas, The: 0.709 index (approx. -2.5 to 2.5), 0.318 typical gaps (standard deviations)Bosnia and Herzegovina: -0.635 index (approx. -2.5 to 2.5), 0.126 typical gaps (standard deviations)Belarus: -0.702 index (approx. -2.5 to 2.5), 0.978 typical gaps (standard deviations)Belize: -0.129 index (approx. -2.5 to 2.5), 0.0851 typical gaps (standard deviations)Bolivia: -0.61 index (approx. -2.5 to 2.5), -0.0485 typical gaps (standard deviations)Brazil: -0.224 index (approx. -2.5 to 2.5), 0.16 typical gaps (standard deviations)Barbados: 0.605 index (approx. -2.5 to 2.5), 0.485 typical gaps (standard deviations)Brunei Darussalam: 0.835 index (approx. -2.5 to 2.5), 0.857 typical gaps (standard deviations)Bhutan: 0.581 index (approx. -2.5 to 2.5), -0.0349 typical gaps (standard deviations)Botswana: 0.417 index (approx. -2.5 to 2.5), -1.12 typical gaps (standard deviations)Central African Republic: -1.58 index (approx. -2.5 to 2.5), -0.633 typical gaps (standard deviations)Canada: 1.76 index (approx. -2.5 to 2.5), 0.581 typical gaps (standard deviations)Switzerland: 1.84 index (approx. -2.5 to 2.5), 0.916 typical gaps (standard deviations)Chile: 0.964 index (approx. -2.5 to 2.5), 0.344 typical gaps (standard deviations)China: 0.896 index (approx. -2.5 to 2.5), 0.367 typical gaps (standard deviations)Cote d'Ivoire: -0.316 index (approx. -2.5 to 2.5), -0.122 typical gaps (standard deviations)Cameroon: -0.801 index (approx. -2.5 to 2.5), -0.192 typical gaps (standard deviations)Congo, Dem. Rep.: -1.69 index (approx. -2.5 to 2.5), -0.523 typical gaps (standard deviations)Congo, Rep.: -1.11 index (approx. -2.5 to 2.5), -1.69 typical gaps (standard deviations)Colombia: -0.111 index (approx. -2.5 to 2.5), -0.377 typical gaps (standard deviations)Comoros: -1.21 index (approx. -2.5 to 2.5), -0.00862 typical gaps (standard deviations)Cabo Verde: 0.415 index (approx. -2.5 to 2.5), -0.252 typical gaps (standard deviations)Costa Rica: 0.287 index (approx. -2.5 to 2.5), 0.133 typical gaps (standard deviations)Cyprus: 0.87 index (approx. -2.5 to 2.5), 0.812 typical gaps (standard deviations)Czechia: 1.18 index (approx. -2.5 to 2.5), 0.889 typical gaps (standard deviations)Germany: 1.55 index (approx. -2.5 to 2.5), 0.988 typical gaps (standard deviations)Djibouti: -0.493 index (approx. -2.5 to 2.5), -1.82 typical gaps (standard deviations)Denmark: 1.91 index (approx. -2.5 to 2.5), 0.819 typical gaps (standard deviations)Dominican Republic: 0.0746 index (approx. -2.5 to 2.5), -0.0819 typical gaps (standard deviations)Algeria: -0.251 index (approx. -2.5 to 2.5), -0.0627 typical gaps (standard deviations)Ecuador: -0.22 index (approx. -2.5 to 2.5), -0.398 typical gaps (standard deviations)Egypt, Arab Rep.: -0.0971 index (approx. -2.5 to 2.5), 0.367 typical gaps (standard deviations)Spain: 1.11 index (approx. -2.5 to 2.5), 0.483 typical gaps (standard deviations)Estonia: 1.3 index (approx. -2.5 to 2.5), 0.558 typical gaps (standard deviations)Ethiopia: -0.646 index (approx. -2.5 to 2.5), -0.481 typical gaps (standard deviations)Finland: 1.82 index (approx. -2.5 to 2.5), 0.419 typical gaps (standard deviations)Fiji: 0.609 index (approx. -2.5 to 2.5), 0.318 typical gaps (standard deviations)France: 1.2 index (approx. -2.5 to 2.5), 0.595 typical gaps (standard deviations)Gabon: -0.567 index (approx. -2.5 to 2.5), -0.844 typical gaps (standard deviations)United Kingdom: 1.18 index (approx. -2.5 to 2.5), 0.635 typical gaps (standard deviations)Georgia: 0.456 index (approx. -2.5 to 2.5), -0.418 typical gaps (standard deviations)Ghana: 0.0596 index (approx. -2.5 to 2.5), 0.00187 typical gaps (standard deviations)Guinea: -0.888 index (approx. -2.5 to 2.5), -0.539 typical gaps (standard deviations)Gambia, The: -0.536 index (approx. -2.5 to 2.5), -0.899 typical gaps (standard deviations)Guinea-Bissau: -1.37 index (approx. -2.5 to 2.5), -0.255 typical gaps (standard deviations)Equatorial Guinea: -1.18 index (approx. -2.5 to 2.5), 0.255 typical gaps (standard deviations)Greece: 0.191 index (approx. -2.5 to 2.5), 0.426 typical gaps (standard deviations)Grenada: 0.0201 index (approx. -2.5 to 2.5), -0.263 typical gaps (standard deviations)Guatemala: -0.909 index (approx. -2.5 to 2.5), 0.48 typical gaps (standard deviations)Guyana: -0.0982 index (approx. -2.5 to 2.5), -0.0857 typical gaps (standard deviations)Hong Kong SAR, China: 1.64 index (approx. -2.5 to 2.5), 1.11 typical gaps (standard deviations)Honduras: -0.62 index (approx. -2.5 to 2.5), -0.175 typical gaps (standard deviations)Croatia: 0.71 index (approx. -2.5 to 2.5), 0.844 typical gaps (standard deviations)Haiti: -2.02 index (approx. -2.5 to 2.5), -1.28 typical gaps (standard deviations)Hungary: 0.502 index (approx. -2.5 to 2.5), 0.856 typical gaps (standard deviations)Indonesia: 0.18 index (approx. -2.5 to 2.5), 0.169 typical gaps (standard deviations)India: 0.405 index (approx. -2.5 to 2.5), -0.486 typical gaps (standard deviations)Ireland: 1.61 index (approx. -2.5 to 2.5), 0.813 typical gaps (standard deviations)Iran, Islamic Rep.: -0.706 index (approx. -2.5 to 2.5), -0.0514 typical gaps (standard deviations)Iraq: -1.1 index (approx. -2.5 to 2.5), -0.409 typical gaps (standard deviations)Iceland: 1.65 index (approx. -2.5 to 2.5), 0.919 typical gaps (standard deviations)Israel: 1.17 index (approx. -2.5 to 2.5), 0.943 typical gaps (standard deviations)Italy: 0.792 index (approx. -2.5 to 2.5), 0.579 typical gaps (standard deviations)Jamaica: 0.171 index (approx. -2.5 to 2.5), 0.511 typical gaps (standard deviations)Jordan: 0.216 index (approx. -2.5 to 2.5), -0.133 typical gaps (standard deviations)Japan: 2.09 index (approx. -2.5 to 2.5), 1.03 typical gaps (standard deviations)Kazakhstan: 0.147 index (approx. -2.5 to 2.5), 0.516 typical gaps (standard deviations)Kenya: -0.298 index (approx. -2.5 to 2.5), -0.274 typical gaps (standard deviations)Kyrgyz Republic: -0.889 index (approx. -2.5 to 2.5), 0.54 typical gaps (standard deviations)Cambodia: -0.294 index (approx. -2.5 to 2.5), 0.369 typical gaps (standard deviations)Kiribati: -0.434 index (approx. -2.5 to 2.5), -1.29 typical gaps (standard deviations)Korea, Rep.: 1.49 index (approx. -2.5 to 2.5), 0.822 typical gaps (standard deviations)Kuwait: 0.328 index (approx. -2.5 to 2.5), 1.15 typical gaps (standard deviations)Lao PDR: -0.582 index (approx. -2.5 to 2.5), -0.16 typical gaps (standard deviations)Lebanon: -1.13 index (approx. -2.5 to 2.5), 0.107 typical gaps (standard deviations)Liberia: -1.25 index (approx. -2.5 to 2.5), -0.308 typical gaps (standard deviations)Libya: -1.42 index (approx. -2.5 to 2.5), -0.574 typical gaps (standard deviations)St. Lucia: 0.268 index (approx. -2.5 to 2.5), -0.149 typical gaps (standard deviations)Sri Lanka: -0.275 index (approx. -2.5 to 2.5), 0.307 typical gaps (standard deviations)Lesotho: -0.647 index (approx. -2.5 to 2.5), -0.581 typical gaps (standard deviations)Lithuania: 1.2 index (approx. -2.5 to 2.5), 0.626 typical gaps (standard deviations)Luxembourg: 2.04 index (approx. -2.5 to 2.5), 0.723 typical gaps (standard deviations)Latvia: 0.743 index (approx. -2.5 to 2.5), 0.673 typical gaps (standard deviations)Macao SAR, China: 1.12 index (approx. -2.5 to 2.5), 1.12 typical gaps (standard deviations)Morocco: 0.176 index (approx. -2.5 to 2.5), -0.0339 typical gaps (standard deviations)Moldova: 0.258 index (approx. -2.5 to 2.5), 0.412 typical gaps (standard deviations)Madagascar: -0.863 index (approx. -2.5 to 2.5), -0.463 typical gaps (standard deviations)Maldives: -0.221 index (approx. -2.5 to 2.5), 0.686 typical gaps (standard deviations)Mexico: -0.22 index (approx. -2.5 to 2.5), 0.513 typical gaps (standard deviations)Marshall Islands: -0.291 index (approx. -2.5 to 2.5), -1.09 typical gaps (standard deviations)North Macedonia: -0.0323 index (approx. -2.5 to 2.5), 0.0322 typical gaps (standard deviations)Mali: -1.29 index (approx. -2.5 to 2.5), -0.283 typical gaps (standard deviations)Malta: 0.622 index (approx. -2.5 to 2.5), 0.947 typical gaps (standard deviations)Myanmar: -1.56 index (approx. -2.5 to 2.5), -0.0589 typical gaps (standard deviations)Montenegro: 0.366 index (approx. -2.5 to 2.5), -0.0101 typical gaps (standard deviations)Mongolia: -0.389 index (approx. -2.5 to 2.5), 0.223 typical gaps (standard deviations)Mozambique: -0.716 index (approx. -2.5 to 2.5), -0.745 typical gaps (standard deviations)Mauritania: -0.741 index (approx. -2.5 to 2.5), -0.477 typical gaps (standard deviations)Mauritius: 0.765 index (approx. -2.5 to 2.5), 0.632 typical gaps (standard deviations)Malawi: -0.726 index (approx. -2.5 to 2.5), -0.169 typical gaps (standard deviations)Malaysia: 0.915 index (approx. -2.5 to 2.5), 0.654 typical gaps (standard deviations)Namibia: 0.0993 index (approx. -2.5 to 2.5), -0.775 typical gaps (standard deviations)Niger: -0.77 index (approx. -2.5 to 2.5), -0.233 typical gaps (standard deviations)Nigeria: -1.01 index (approx. -2.5 to 2.5), -0.128 typical gaps (standard deviations)Nicaragua: -1.05 index (approx. -2.5 to 2.5), 0.229 typical gaps (standard deviations)Netherlands: 1.75 index (approx. -2.5 to 2.5), 0.804 typical gaps (standard deviations)Norway: 1.84 index (approx. -2.5 to 2.5), 0.915 typical gaps (standard deviations)Nepal: -0.885 index (approx. -2.5 to 2.5), -0.934 typical gaps (standard deviations)Naoero: 0.01 index (approx. -2.5 to 2.5), -1.38 typical gaps (standard deviations)New Zealand: 1.85 index (approx. -2.5 to 2.5), 0.721 typical gaps (standard deviations)Oman: 0.568 index (approx. -2.5 to 2.5), 1.04 typical gaps (standard deviations)Pakistan: -0.6 index (approx. -2.5 to 2.5), -0.988 typical gaps (standard deviations)Panama: 0.245 index (approx. -2.5 to 2.5), 0.0819 typical gaps (standard deviations)Peru: -0.2 index (approx. -2.5 to 2.5), -0.454 typical gaps (standard deviations)Philippines: 0.145 index (approx. -2.5 to 2.5), 0.559 typical gaps (standard deviations)Palau: 0.01 index (approx. -2.5 to 2.5), 0.825 typical gaps (standard deviations)Papua New Guinea: -0.9 index (approx. -2.5 to 2.5), -0.175 typical gaps (standard deviations)Poland: 0.673 index (approx. -2.5 to 2.5), 0.842 typical gaps (standard deviations)Puerto Rico (US): -0.255 index (approx. -2.5 to 2.5), 0.688 typical gaps (standard deviations)Portugal: 0.947 index (approx. -2.5 to 2.5), 0.843 typical gaps (standard deviations)Paraguay: -0.355 index (approx. -2.5 to 2.5), -0.242 typical gaps (standard deviations)West Bank and Gaza: -1.1 index (approx. -2.5 to 2.5), -0.578 typical gaps (standard deviations)Qatar: 1.13 index (approx. -2.5 to 2.5), 1.36 typical gaps (standard deviations)Romania: 0.418 index (approx. -2.5 to 2.5), 0.637 typical gaps (standard deviations)Russian Federation: -0.322 index (approx. -2.5 to 2.5), 1.14 typical gaps (standard deviations)Rwanda: 0.349 index (approx. -2.5 to 2.5), -0.108 typical gaps (standard deviations)Saudi Arabia: 0.783 index (approx. -2.5 to 2.5), 0.782 typical gaps (standard deviations)Sudan: -1.79 index (approx. -2.5 to 2.5), -1.35 typical gaps (standard deviations)Senegal: 0.234 index (approx. -2.5 to 2.5), -0.0349 typical gaps (standard deviations)Singapore: 2.28 index (approx. -2.5 to 2.5), 1.05 typical gaps (standard deviations)Solomon Islands: -0.869 index (approx. -2.5 to 2.5), -0.0344 typical gaps (standard deviations)Sierra Leone: -0.967 index (approx. -2.5 to 2.5), -0.503 typical gaps (standard deviations)El Salvador: -0.183 index (approx. -2.5 to 2.5), 0.523 typical gaps (standard deviations)Somalia, Fed. Rep.: -1.95 index (approx. -2.5 to 2.5), -1.05 typical gaps (standard deviations)Serbia: 0.102 index (approx. -2.5 to 2.5), 0.409 typical gaps (standard deviations)Sao Tome and Principe: -0.719 index (approx. -2.5 to 2.5), -0.0345 typical gaps (standard deviations)Suriname: -0.454 index (approx. -2.5 to 2.5), 0.385 typical gaps (standard deviations)Slovak Republic: 0.658 index (approx. -2.5 to 2.5), 0.713 typical gaps (standard deviations)Slovenia: 1.09 index (approx. -2.5 to 2.5), 0.914 typical gaps (standard deviations)Sweden: 1.77 index (approx. -2.5 to 2.5), 0.531 typical gaps (standard deviations)Eswatini: -0.781 index (approx. -2.5 to 2.5), -1.97 typical gaps (standard deviations)Seychelles: 0.627 index (approx. -2.5 to 2.5), 0.418 typical gaps (standard deviations)Syrian Arab Republic: -1.67 index (approx. -2.5 to 2.5), -0.472 typical gaps (standard deviations)Chad: -1.1 index (approx. -2.5 to 2.5), -0.409 typical gaps (standard deviations)Togo: -0.801 index (approx. -2.5 to 2.5), -0.201 typical gaps (standard deviations)Thailand: 0.254 index (approx. -2.5 to 2.5), 0.466 typical gaps (standard deviations)Tajikistan: -0.601 index (approx. -2.5 to 2.5), 0.278 typical gaps (standard deviations)Turkmenistan: -1.06 index (approx. -2.5 to 2.5), 0.492 typical gaps (standard deviations)Timor-Leste: -0.899 index (approx. -2.5 to 2.5), 0.141 typical gaps (standard deviations)Tonga: -0.0373 index (approx. -2.5 to 2.5), 0.576 typical gaps (standard deviations)Trinidad and Tobago: 0.111 index (approx. -2.5 to 2.5), 0.701 typical gaps (standard deviations)Tunisia: -0.239 index (approx. -2.5 to 2.5), -0.205 typical gaps (standard deviations)Turkiye: -0.0707 index (approx. -2.5 to 2.5), 0.224 typical gaps (standard deviations)Tuvalu: -0.691 index (approx. -2.5 to 2.5), -0.6 typical gaps (standard deviations)Tanzania: -0.292 index (approx. -2.5 to 2.5), -0.328 typical gaps (standard deviations)Uganda: -0.35 index (approx. -2.5 to 2.5), -0.25 typical gaps (standard deviations)Ukraine: -0.599 index (approx. -2.5 to 2.5), 0.208 typical gaps (standard deviations)Uruguay: 0.69 index (approx. -2.5 to 2.5), 0.298 typical gaps (standard deviations)United States: 1.36 index (approx. -2.5 to 2.5), 0.862 typical gaps (standard deviations)Uzbekistan: -0.144 index (approx. -2.5 to 2.5), 0.368 typical gaps (standard deviations)St. Vincent and the Grenadines: 0.268 index (approx. -2.5 to 2.5), -0.519 typical gaps (standard deviations)Virgin Islands (U.S.): 0.375 index (approx. -2.5 to 2.5), 0.331 typical gaps (standard deviations)Viet Nam: -0.0923 index (approx. -2.5 to 2.5), 0.283 typical gaps (standard deviations)Vanuatu: -0.817 index (approx. -2.5 to 2.5), -0.495 typical gaps (standard deviations)Samoa: 0.434 index (approx. -2.5 to 2.5), 0.181 typical gaps (standard deviations)South Africa: -0.226 index (approx. -2.5 to 2.5), -1.51 typical gaps (standard deviations)Zambia: -0.533 index (approx. -2.5 to 2.5), -0.432 typical gaps (standard deviations)Zimbabwe: -0.988 index (approx. -2.5 to 2.5), -0.673 typical gaps (standard deviations)AFGBLRBWADJIHKGHTIJPNRUSSDNSGPSWZTKM

best-fit line line after adjusting

Four ways to measure the link

MethodrpCountries
Standard (Pearson), not adjusted+0.6711.6e-25185
By rank (Spearman), not adjusted+0.7029.5e-29185
Standard (Pearson), adjusted for national income+0.1860.012185
By rank (Spearman), adjusted for national income+0.1010.174185

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 185 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: +0.485 (a minus sign means it grew).

How solid is it?

Leaving out one country at a time, r ranges from +0.164 (without GUY) to +0.206 (without BLR). 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: GUY (-0.022).

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 & Pacific30+0.06
Europe & Central Asia48-0.09
Latin America & Caribbean31+0.16
Middle East, North Africa, Afghanistan & Pakistan22+0.07
Sub-Saharan Africa46+0.35

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 third62+0.30
Middle third61-0.02
Richest third62+0.06

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
Muslims49+0.20

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+0.37
Never a European colony21+0.28
Spain19+0.02
United Kingdom61+0.26

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 = +0.176 after dropping 2 countries.

Two series, one country

Both measures over the years for one country you pick. The two charts are stacked so they share only the years along the bottom.

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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


index (approx. -2.5 to 2.5)

typical gaps (standard deviations)
Years
Singapore SGP2.281.052024, 2025
Japan JPN2.091.032024, 2025
Luxembourg LUX2.040.7232024, 2025
Denmark DNK1.910.8192024, 2025
New Zealand NZL1.850.7212024, 2025
Norway NOR1.840.9152024, 2025
Switzerland CHE1.840.9162024, 2025
Finland FIN1.820.4192024, 2025
Australia AUS1.810.8672024, 2025
Sweden SWE1.770.5312024, 2025
Canada CAN1.760.5812024, 2025
Netherlands NLD1.750.8042024, 2025
Iceland ISL1.650.9192024, 2025
Hong Kong SAR, China HKG1.641.112024, 2025
Ireland IRL1.610.8132024, 2025

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

Sources

Government effectiveness

Government Effectiveness (estimate)

World Bank · CC BY 4.0 · updated annual

Labour score

Labour score

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

The average of 4 measures from 2 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: Informal employment, Vulnerable employment, Youth not in work or study, Unemployment.

How this was computed

Data used: most recent value in 2010-2025; values come from 2018–2025. 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 Government effectiveness and Labour score

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

More links with Government effectiveness or Labour score