Across 176 countries, Government consumption and Rule of law rise and fall together at r = +0.32 (on a scale from −1 to +1, where 0 means no link). It holds up almost unchanged when only countries with similar income (GDP per person) are compared (r = +0.35, q = 0.048, allowing for the many pairs tested).
Comparing countries across the middle half of government consumption, 12.2% to 20.8% of GDP, rule of law is better by 0.314 points at the top of that range than the bottom. Comparing only countries with similar national income, the gap is 0.235 points.
Link before adjusting (r)+0.319p = 1.6e-5 · 176 countries
After adjusting for national income+0.352p = 1.8e-6 · likely range [+0.21, +0.48]
p, allowing for regions0.005standard error 0.080 · 7 regions
Check for luck (q)0.048across 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 consumption · % of GDPlink with income +0.28 · independent
Rule of law · index (approx. -2.5 to 2.5)link with income +0.72 · high
“Link with income” is how closely each measure tracks GDP per person across countries, from −1 to +1.
Every country as a dot
best-fit line line after adjusting
Four ways to measure the link
Method
r
p
Countries
Standard (Pearson), not adjusted
+0.319
1.6e-5
176
By rank (Spearman), not adjusted
+0.417
8.8e-9
176
Standard (Pearson), adjusted for national income
+0.352
1.8e-6
176
By rank (Spearman), adjusted for national income
+0.328
9.4e-6
176
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 176 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: -0.032 (a minus sign means it grew).
How solid is it?
Leaving out one country at a time, r ranges from +0.301 (without KIR) to +0.384 (without LBY). 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 (-0.050).
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.
n
r
East Asia & Pacific
26
+0.47
Europe & Central Asia
51
+0.24
Latin America & Caribbean
25
+0.16
Middle East, North Africa, Afghanistan & Pakistan
21
-0.02
Sub-Saharan Africa
44
+0.09
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.
n
r
Poorest third
59
+0.49
Middle third
58
+0.13
Richest third
59
+0.45
By largest religious group
Countries grouped by a label they share, such as main religion, rather than by a number. Groups of fewer than twelve countries are not shown. These groups differ in income, region and history all at once. So a gap between them is a place to start asking questions, not an answer.
n
r
Christians
101
+0.31
Muslims
48
-0.06
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.
n
r
France
25
+0.47
Never a European colony
20
+0.09
Spain
19
-0.08
United Kingdom
47
+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 = +0.267 after dropping 8 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 29years. 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 = -0.017, 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 government consumption moved did not tend to see their rule of law move with it.
Across countries (adjusted)+0.352for comparison
Within countries-0.020each country vs itself
…and vs the same year elsewhere-0.017q = 0.771 · 183 countries
Year-on-year changes-0.089q = 0.027
Read with care.
Almost all of the second indicator's variation is between countries, so the within-country estimate rests on a small part of the data.
4,337 country-years (one country in one year), 183 countries, 1996–2024, about 24 years each on average. Share of the variation that happens within countries over time: 16% for Government consumption, 4% for Rule of law. 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
Same year (lag 0): -0.017. 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 (+0.09 at lag -7) is higher than the same-year one by 0.07. 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
% of GDP
index (approx. -2.5 to 2.5)
Years
Timor-Leste TLS
60.6%
-0.626
2024
Kiribati KIR
59%
0.786
2024
Marshall Islands MHL
54.5%
0.836
2024
Greenland GRL
41.7%
1.57
2023, 2024
Ukraine UKR
38.9%
-0.72
2025, 2024
Palau PLW
38.3%
1.17
2024
Lesotho LSO
36.4%
-0.407
2025, 2024
Virgin Islands (U.S.) VIR
34.4%
0.579
2022, 2024
Equatorial Guinea GNQ
32.4%
-1.54
2025, 2024
Libya LBY
32.3%
-1.7
2025, 2024
Botswana BWA
31.5%
0.312
2025, 2024
Sweden SWE
26.4%
1.73
2025, 2024
Solomon Islands SLB
26.2%
0.153
2024
Finland FIN
26.1%
2.02
2025, 2024
Iceland ISL
26.1%
1.63
2025, 2024
World Bank, World Development Indicators Kaufmann, D. and A. Kraay, Worldwide Governance Indicators, World Bank
General government final consumption expenditure (% of GDP)
World Bank · CC BY 4.0 · updated quarterly
What government buys directly, as a share of the economy: wages, defence, and the running of schools and hospitals. It is the widely reported half of government size. Payments such as pensions and benefits are handed out, not spent on goods and services, so they are not in here. That understates government in the countries with the largest welfare systems. Government expense covers those, but for fewer countries. Compared with income per person, this answers the question the per-person dollar figure cannot. Rich countries spend far more per person because they have far more per person. Whether their governments are a larger share of what there is needs a share of GDP, not an amount per person. No "better" direction is set: a bigger or smaller government is a political question, not a better or worse one.
Data used: most recent value in 2010-2025; values come from 2010–2025. To adjust for income, each measure is first predicted from GDP per person (in percentage terms, on a log scale) with a straight-line fit. Only what is left over is then compared. This is called a partial correlation. The line is drawn the standard way (ordinary least squares), which picks the line that comes closest to all the countries at once. The error margins allow for countries in the same region resembling each other, using 7 World Bank regions. The q-value corrects for testing all 12,497 pairs at once, using the Benjamini–Hochberg method. Underlying data last updated DYB 2024. How the country data works · explore Government consumption and Rule of law
This page shows that two measures go together. It does not show that Government consumption changes Rule of law, or the reverse. These figures also describe countries, not individual people. See the ecological fallacy.
More links with Government consumption or Rule of law