placestats

Human capital (PWT) vs. Legal system and property rights (Fraser)

Holds up after adjusting for income

Across 140 countries, Human capital (PWT) and Legal system and property rights (Fraser) rise and fall together at r = +0.74 (on a scale from −1 to +1, where 0 means no link). Comparing only countries with similar income (GDP per person) shrinks it to +0.24 (q = 0.025, allowing for the many pairs tested). Much of the first figure is that both measures rise with national income, but a weak positive link remains.

Comparing countries across the middle half of legal system and property rights (Fraser), 4.32 to 6.74 points, human capital (PWT) is better by 0.706 points at the top of that range than the bottom. Comparing only countries with similar national income, the gap is 0.203 points.

Link before adjusting (r)+0.735p = 4.4e-25 · 140 countries
After adjusting for national income+0.239p = 0.005 · likely range [+0.08, +0.39]
p, allowing for regions0.009standard error 0.063 · 7 regions
Check for luck (q)0.025across 18,622 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.

Human capital (PWT) · index (1 = no schooling)link with income +0.82 · proxy
Legal system and property rights (Fraser) · rating (0-10)link with income +0.81 · proxy

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

Human capital (PWT) · index (1 = no schooling) →Legal system and property rights (Fraser) · rating (0-10) →1.263.991.929.1Angola: 1.54 index (1 = no schooling), 3.33 rating (0-10)Albania: 3.02 index (1 = no schooling), 5.61 rating (0-10)United Arab Emirates: 3.3 index (1 = no schooling), 7.09 rating (0-10)Argentina: 3.16 index (1 = no schooling), 5.15 rating (0-10)Armenia: 3.16 index (1 = no schooling), 5.86 rating (0-10)Australia: 3.61 index (1 = no schooling), 8.69 rating (0-10)Austria: 3.45 index (1 = no schooling), 8.46 rating (0-10)Burundi: 1.48 index (1 = no schooling), 3.35 rating (0-10)Belgium: 3.17 index (1 = no schooling), 7.64 rating (0-10)Benin: 2.04 index (1 = no schooling), 4.41 rating (0-10)Burkina Faso: 1.38 index (1 = no schooling), 3.62 rating (0-10)Bangladesh: 2.15 index (1 = no schooling), 2.9 rating (0-10)Bulgaria: 3.26 index (1 = no schooling), 5.84 rating (0-10)Bahrain: 2.82 index (1 = no schooling), 5.25 rating (0-10)Belize: 2.92 index (1 = no schooling), 4.09 rating (0-10)Bolivia: 3.09 index (1 = no schooling), 3.95 rating (0-10)Brazil: 3.36 index (1 = no schooling), 5.34 rating (0-10)Barbados: 2.87 index (1 = no schooling), 5.62 rating (0-10)Brunei Darussalam: 2.86 index (1 = no schooling), 5.32 rating (0-10)Botswana: 3.05 index (1 = no schooling), 6.24 rating (0-10)Central African Republic: 1.6 index (1 = no schooling), 2.03 rating (0-10)Canada: 3.77 index (1 = no schooling), 8.31 rating (0-10)Switzerland: 3.75 index (1 = no schooling), 8.98 rating (0-10)Chile: 3.24 index (1 = no schooling), 6.96 rating (0-10)China: 2.75 index (1 = no schooling), 4.73 rating (0-10)Cote d'Ivoire: 1.74 index (1 = no schooling), 5.13 rating (0-10)Cameroon: 1.95 index (1 = no schooling), 2.86 rating (0-10)Congo, Dem. Rep.: 1.83 index (1 = no schooling), 2.68 rating (0-10)Congo, Rep.: 2.18 index (1 = no schooling), 3.1 rating (0-10)Colombia: 2.68 index (1 = no schooling), 5.06 rating (0-10)Costa Rica: 2.7 index (1 = no schooling), 6.62 rating (0-10)Cyprus: 2.99 index (1 = no schooling), 6.7 rating (0-10)Czechia: 3.78 index (1 = no schooling), 7.64 rating (0-10)Germany: 3.71 index (1 = no schooling), 8.03 rating (0-10)Denmark: 3.67 index (1 = no schooling), 9.09 rating (0-10)Dominican Republic: 2.93 index (1 = no schooling), 5.29 rating (0-10)Algeria: 2.51 index (1 = no schooling), 3.91 rating (0-10)Ecuador: 2.83 index (1 = no schooling), 4.87 rating (0-10)Egypt, Arab Rep.: 2.86 index (1 = no schooling), 3.36 rating (0-10)Spain: 3.07 index (1 = no schooling), 7.36 rating (0-10)Estonia: 3.58 index (1 = no schooling), 8.01 rating (0-10)Ethiopia: 1.54 index (1 = no schooling), 4.25 rating (0-10)Finland: 3.6 index (1 = no schooling), 8.88 rating (0-10)Fiji: 2.74 index (1 = no schooling), 4.87 rating (0-10)France: 3.31 index (1 = no schooling), 7.41 rating (0-10)Gabon: 3.04 index (1 = no schooling), 3.73 rating (0-10)United Kingdom: 3.85 index (1 = no schooling), 7.92 rating (0-10)Ghana: 2.66 index (1 = no schooling), 5.25 rating (0-10)Gambia, The: 1.49 index (1 = no schooling), 4.91 rating (0-10)Greece: 3.24 index (1 = no schooling), 6.22 rating (0-10)Guatemala: 2.04 index (1 = no schooling), 4.78 rating (0-10)Guyana: 2.76 index (1 = no schooling), 5.09 rating (0-10)Hong Kong SAR, China: 3.36 index (1 = no schooling), 7.57 rating (0-10)Honduras: 2.58 index (1 = no schooling), 4.11 rating (0-10)Croatia: 3.81 index (1 = no schooling), 6.2 rating (0-10)Haiti: 1.8 index (1 = no schooling), 2.44 rating (0-10)Hungary: 3.55 index (1 = no schooling), 6.69 rating (0-10)Indonesia: 2.34 index (1 = no schooling), 4.54 rating (0-10)India: 2.28 index (1 = no schooling), 5.28 rating (0-10)Ireland: 3.27 index (1 = no schooling), 8.07 rating (0-10)Iran, Islamic Rep.: 2.77 index (1 = no schooling), 3.4 rating (0-10)Iraq: 2.39 index (1 = no schooling), 2.44 rating (0-10)Iceland: 3.28 index (1 = no schooling), 8.81 rating (0-10)Israel: 3.99 index (1 = no schooling), 6.14 rating (0-10)Italy: 3.27 index (1 = no schooling), 6.74 rating (0-10)Jamaica: 2.65 index (1 = no schooling), 5.83 rating (0-10)Jordan: 2.88 index (1 = no schooling), 4.62 rating (0-10)Japan: 3.66 index (1 = no schooling), 7.93 rating (0-10)Kazakhstan: 3.39 index (1 = no schooling), 5.72 rating (0-10)Kenya: 2.61 index (1 = no schooling), 4.73 rating (0-10)Kyrgyz Republic: 3.57 index (1 = no schooling), 4.58 rating (0-10)Cambodia: 2.06 index (1 = no schooling), 3.92 rating (0-10)Korea, Rep.: 3.87 index (1 = no schooling), 6.81 rating (0-10)Kuwait: 2.3 index (1 = no schooling), 5.25 rating (0-10)Lao PDR: 2.01 index (1 = no schooling), 4.54 rating (0-10)Liberia: 2.03 index (1 = no schooling), 3.91 rating (0-10)Sri Lanka: 2.93 index (1 = no schooling), 5.12 rating (0-10)Lesotho: 2.02 index (1 = no schooling), 4.76 rating (0-10)Lithuania: 3.41 index (1 = no schooling), 7.67 rating (0-10)Luxembourg: 3.47 index (1 = no schooling), 8.63 rating (0-10)Latvia: 3.21 index (1 = no schooling), 7.61 rating (0-10)Morocco: 2.03 index (1 = no schooling), 5.31 rating (0-10)Moldova: 3.18 index (1 = no schooling), 5.77 rating (0-10)Madagascar: 1.72 index (1 = no schooling), 3.08 rating (0-10)Mexico: 2.85 index (1 = no schooling), 4.27 rating (0-10)Mali: 1.48 index (1 = no schooling), 3.53 rating (0-10)Malta: 3.48 index (1 = no schooling), 6.89 rating (0-10)Myanmar: 1.94 index (1 = no schooling), 3.27 rating (0-10)Mongolia: 2.76 index (1 = no schooling), 6.06 rating (0-10)Mozambique: 1.29 index (1 = no schooling), 4.7 rating (0-10)Mauritania: 1.85 index (1 = no schooling), 3.39 rating (0-10)Mauritius: 2.7 index (1 = no schooling), 6.87 rating (0-10)Malawi: 2.14 index (1 = no schooling), 4.72 rating (0-10)Malaysia: 3.21 index (1 = no schooling), 5.95 rating (0-10)Namibia: 2.31 index (1 = no schooling), 5.93 rating (0-10)Niger: 1.26 index (1 = no schooling), 3.62 rating (0-10)Nigeria: 2.13 index (1 = no schooling), 3.63 rating (0-10)Nicaragua: 2.41 index (1 = no schooling), 3.49 rating (0-10)Netherlands: 3.46 index (1 = no schooling), 8.56 rating (0-10)Norway: 3.75 index (1 = no schooling), 9.05 rating (0-10)Nepal: 1.93 index (1 = no schooling), 4.83 rating (0-10)New Zealand: 3.38 index (1 = no schooling), 9.1 rating (0-10)Pakistan: 1.76 index (1 = no schooling), 3.74 rating (0-10)Panama: 2.97 index (1 = no schooling), 5.79 rating (0-10)Peru: 2.79 index (1 = no schooling), 5.19 rating (0-10)Philippines: 2.96 index (1 = no schooling), 4.72 rating (0-10)Poland: 3.49 index (1 = no schooling), 6.76 rating (0-10)Portugal: 2.61 index (1 = no schooling), 7.41 rating (0-10)Paraguay: 2.73 index (1 = no schooling), 4.47 rating (0-10)Qatar: 3.14 index (1 = no schooling), 5.6 rating (0-10)Romania: 3.35 index (1 = no schooling), 6.69 rating (0-10)Russian Federation: 3.34 index (1 = no schooling), 4.86 rating (0-10)Rwanda: 1.88 index (1 = no schooling), 6.07 rating (0-10)Saudi Arabia: 2.99 index (1 = no schooling), 6.22 rating (0-10)Sudan: 1.65 index (1 = no schooling), 1.92 rating (0-10)Senegal: 1.72 index (1 = no schooling), 4.28 rating (0-10)Singapore: 3.4 index (1 = no schooling), 8.47 rating (0-10)Sierra Leone: 1.73 index (1 = no schooling), 4.61 rating (0-10)El Salvador: 2.38 index (1 = no schooling), 4.33 rating (0-10)Serbia: 3.53 index (1 = no schooling), 5.38 rating (0-10)Slovak Republic: 3.89 index (1 = no schooling), 6.74 rating (0-10)Slovenia: 3.66 index (1 = no schooling), 7.11 rating (0-10)Sweden: 3.5 index (1 = no schooling), 8.3 rating (0-10)Eswatini: 1.91 index (1 = no schooling), 3.11 rating (0-10)Syrian Arab Republic: 2.7 index (1 = no schooling), 2.51 rating (0-10)Togo: 2.13 index (1 = no schooling), 5.03 rating (0-10)Thailand: 2.86 index (1 = no schooling), 5.37 rating (0-10)Tajikistan: 3.11 index (1 = no schooling), 4.2 rating (0-10)Trinidad and Tobago: 3.13 index (1 = no schooling), 5.18 rating (0-10)Tunisia: 2.84 index (1 = no schooling), 4.54 rating (0-10)Turkiye: 2.62 index (1 = no schooling), 4.91 rating (0-10)Tanzania: 1.77 index (1 = no schooling), 5.11 rating (0-10)Uganda: 2.69 index (1 = no schooling), 4.66 rating (0-10)Ukraine: 3.32 index (1 = no schooling), 4.57 rating (0-10)Uruguay: 3.01 index (1 = no schooling), 6.09 rating (0-10)United States: 3.83 index (1 = no schooling), 7.88 rating (0-10)Viet Nam: 2.74 index (1 = no schooling), 5.11 rating (0-10)South Africa: 2.9 index (1 = no schooling), 5.72 rating (0-10)Zambia: 2.77 index (1 = no schooling), 4.96 rating (0-10)Zimbabwe: 2.82 index (1 = no schooling), 3.63 rating (0-10)CAFCHEDNKGABGMBKGZMOZNERNORRWASDNSYR

best-fit line line after adjusting

Four ways to measure the link

MethodrpCountries
Standard (Pearson), not adjusted+0.7354.4e-25140
By rank (Spearman), not adjusted+0.7654.0e-28140
Standard (Pearson), adjusted for national income+0.2390.005140
By rank (Spearman), adjusted for national income+0.2790.001140

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 140 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: +0.497 (a minus sign means it grew).

How solid is it?

Leaving out one country at a time, r ranges from +0.214 (without GUY) to +0.257 (without SYR). 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 (-0.025).

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 & Pacific18+0.52
Europe & Central Asia40+0.30
Latin America & Caribbean23+0.20
Middle East, North Africa, Afghanistan & Pakistan16+0.14
Sub-Saharan Africa37+0.22

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 third47+0.11
Middle third46+0.16
Richest third47+0.50

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
Christians87+0.21
Muslims33-0.03

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
France20-0.36
Never a European colony15+0.24
Spain18-0.20
United Kingdom44+0.43

By official ideology

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
Nationalist20+0.27
No strong official ideology96+0.26

By party system

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
A few parties banned20+0.02
No parties banned102+0.21

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 = +0.239 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 34years. So a link here can’t come from anything about a country that stays the same, such as its history, geography, institutions or culture.

Within countries over time, there is no link that is clearly more than chance (r = -0.003, comparing each country only with itself over the years, and each year only with the same year elsewhere). Whatever the cross-country picture shows, countries whose human capital (PWT) moved did not tend to see their legal system and property rights (Fraser) move with it.

Across countries (adjusted)+0.239for comparison
Within countries+0.271each country vs itself
…and vs the same year elsewhere-0.003q = 0.983 · 143 countries
Year-on-year changes+0.006q = 0.902
Read with care.
  • Almost all of this indicator's variation is between countries, not within them, so the within-country estimate rests on a small part of the data.
  • Much of the within-country association disappears once shared global year effects are removed, which points to a common worldwide trend rather than a country-level relationship.

3,717 country-years (one country in one year), 143 countries, 1990–2023, about 26 years each on average. Share of the variation that happens within countries over time: 4% for Human capital (PWT), 7% for Legal system and property rights (Fraser). The margins of error allow for each country appearing many times, and for each year’s value being close to the year before.

Year-to-year changes are a cautious test, not a final answer. Looking only at changes from one year to the next removes each country’s own trends. But it also makes measurement mistakes louder, which pulls the results toward zero. A near-zero result here is weak evidence of no link, not proof.

With one measure years behind the other

0.10−0.1-100+10years Legal system and property rights (Fraser) trails Human capital (PWT) →lag -10: r = 0.011 (n = 2,287)lag -9: r = -0.001 (n = 2,430)lag -8: r = -0.016 (n = 2,573)lag -7: r = -0.029 (n = 2,716)lag -6: r = -0.044 (n = 2,859)lag -5: r = -0.059 (n = 3,002)lag -4: r = -0.063 (n = 3,145)lag -3: r = -0.053 (n = 3,288)lag -2: r = -0.037 (n = 3,431)lag -1: r = -0.020 (n = 3,574)lag +0: r = -0.003 (n = 3,717)lag +1: r = -0.005 (n = 3,718)lag +2: r = 0.003 (n = 3,718)lag +3: r = 0.006 (n = 3,718)lag +4: r = 0.004 (n = 3,718)lag +5: r = -0.002 (n = 3,718)lag +6: r = -0.008 (n = 3,575)lag +7: r = -0.016 (n = 3,575)lag +8: r = -0.019 (n = 3,575)lag +9: r = -0.017 (n = 3,575)lag +10: r = -0.014 (n = 3,575)

Same year (lag 0): -0.003. A peak away from zero does not show which comes first. These series change slowly — this year’s value is close to last year’s. That makes the curve smooth and nearly symmetric, whatever produced the data. Even a sharp peak at one lag (a gap of some years) would not prove that one measure changes the other.

The largest value on this curve (-0.06 at lag -4) is higher than the same-year one by 0.06. That gap is not a finding. It is the largest of 21 closely related estimates, and picking the biggest of many tests always makes it look bigger. That is exactly why nothing on this site is ranked or chosen by lag.

The data


index (1 = no schooling)

rating (0-10)
Years
Israel ISR3.996.142023, 2024
Slovak Republic SVK3.896.742023, 2024
Korea, Rep. KOR3.876.812023, 2024
United Kingdom GBR3.857.922023, 2024
United States USA3.837.882023, 2024
Croatia HRV3.816.22023, 2024
Czechia CZE3.787.642023, 2024
Canada CAN3.778.312023, 2024
Norway NOR3.759.052023, 2024
Switzerland CHE3.758.982023, 2024
Germany DEU3.718.032023, 2024
Denmark DNK3.679.092023, 2024
Japan JPN3.667.932023, 2024
Slovenia SVN3.667.112023, 2024
Australia AUS3.618.692023, 2024

Feenstra, Robert C., Robert Inklaar and Marcel P. Timmer (2015), "The Next Generation of the Penn World Table", American Economic Review, 105(10), 3150-3182, www.ggdc.net/pwt. Data: Penn World Table version 11.0, Groningen Growth and Development Centre, doi:10.34894/FABVLR.
Gwartney, J., Lawson, R., Murphy, R. and others, Economic Freedom of the World: 2026 Annual Report, Fraser Institute. Data from the EFW panel dataset (efotw-2026-master-index-data-for-researchers-iso.xlsx).

Sources

Human capital (PWT)

Human capital index, from years of schooling (Penn World Table)

Groningen Growth and Development Centre, University of Groningen · via DataverseNL · CC BY 4.0 · updated irregular (new versions every few years)

"Human capital" means the skills and knowledge workers bring to their jobs. This index measures it from schooling alone. It starts from how many years adults spent in school, then counts the early years for more than the later ones, following studies of how much higher pay tends to be with each extra year. A score of 1 means no schooling; the US is about 3.8. It uses the same schooling figures as mean years of schooling, so the two are close by construction. For that reason it is left out of the education score, which already counts years of schooling.

Legal system and property rights (Fraser)

Economic freedom, area 2, legal system and property rights (Fraser Institute)

Fraser Institute · No licence stated; used with citation · updated annual

Whether courts are independent and fair, contracts are enforced, property is protected and the police are reliable, from 0 to 10. It draws on some of the same expert sources as other rule-of-law measures, so expect it to track them closely.

How this was computed

Data used: most recent value in 2010-2025; values come from 2023–2024. 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 18,622 pairs at once, using the Benjamini–Hochberg method. Underlying data last updated V-Dem v16; V-Party v2. How the country data works · explore Human capital (PWT) and Legal system and property rights (Fraser)

This page shows that two measures go together. It does not show that Human capital (PWT) changes Legal system and property rights (Fraser), or the reverse. These figures also describe countries, not individual people. See the ecological fallacy.

More links with Human capital (PWT) or Legal system and property rights (Fraser)