Do Political rights (FH) and Secondary enrollment go together across countries?

Across 179 countries the link before adjusting for anything is r = -0.53, on a scale from -1 (opposite) to +1 (in step). A version that uses only each country's rank gives -0.54.

Does the link hold within countries over time, not just across countries?

Comparing each country only with itself across 1990-2025, and setting aside what happened worldwide in each year, the link is -0.034 (186 countries, 4,191 country-years). Using year-to-year changes, it is +0.019.

Does Political rights (FH) cause Secondary enrollment?

This analysis cannot answer that. It shows only that the two go together. A link between two country measures, adjusted or not, does not show that either one changes the other. Country figures also say nothing about individual people.

Political rights (FH) vs. Secondary enrollment

Fades after adjusting for income

Across 179 countries, Political rights (FH) and Secondary enrollment 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 -0.33, which could easily be chance (q = 0.17, 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.

Comparing countries across the middle half of political rights (fh), 1.5 to 6 points, secondary enrollment is worse by 29.1% gross at the top of that range than the bottom. Comparing only countries with similar national income, the gap is 13.1% gross.

Link before adjusting (r)-0.534p = 1.4e-14 · 179 countries

After adjusting for national income-0.334p = 5.2e-6 · likely range [-0.46, -0.20]

p, allowing for regions0.046standard error 0.134 · 7 regions

Check for luck (q)0.173across 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.

Political rights (FH) · rating (1-7, 1 = most free)link with income -0.48 · moderate

Secondary enrollment · % grosslink with income +0.71 · 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	-0.534	1.4e-14	179
By rank (Spearman), not adjusted	-0.543	4.2e-15	179
Standard (Pearson), adjusted for national income	-0.334	5.2e-6	179
By rank (Spearman), adjusted for national income	-0.317	1.6e-5	179

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 179 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: +0.200 (a minus sign means it grew).

How solid is it?

Leaving out one country at a time, r ranges from -0.354 (without SMR) to -0.319 (without VUT). 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: SMR (-0.019).

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	29	-0.51
Europe & Central Asia	50	-0.13
Latin America & Caribbean	31	-0.46
Middle East, North Africa, Afghanistan & Pakistan	18	-0.03
Sub-Saharan Africa	43	-0.42

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	60	-0.49
Middle third	59	-0.25
Richest third	60	-0.24

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	105	-0.44
Muslims	44	-0.15

By last european coloniser

	n	r
France	23	-0.08
Never a European colony	21	+0.13
Spain	18	-0.41
United Kingdom	60	-0.43

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 = -0.323 after dropping 3 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 36years. 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 = -0.034, 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 political rights (fh) moved did not tend to see their secondary enrollment move with it.

Across countries (adjusted)-0.334for comparison

Within countries-0.051each country vs itself

…and vs the same year elsewhere-0.034q = 0.690 · 186 countries

Year-on-year changes+0.019q = 0.400

4,191 country-years (one country in one year), 186 countries, 1990–2025, about 23 years each on average. Share of the variation that happens within countries over time: 11% for Political rights (FH), 13% for Secondary enrollment. 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): -0.034. 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 data

	rating (1-7, 1 = most free)	% gross	Years
Viet Nam VNM	7	93.4%	2025, 2022
Uzbekistan UZB	7	98.1%	2025
Turkmenistan TKM	7	94.6%	2025, 2024
Tajikistan TJK	7	86.9%	2025, 2024
Chad TCD	7	23.5%	2025, 2024
Syrian Arab Republic SYR	7	38.7%	2025, 2024
Eswatini SWZ	7	82%	2025, 2016
Somalia, Fed. Rep. SOM	7	3.35%	2025, 2023
Sudan SDN	7	43.5%	2025, 2019
Saudi Arabia SAU	7	111%	2025, 2024
Russian Federation RUS	7	92.5%	2025, 2023
Nicaragua NIC	7	70.2%	2025, 2023
Niger NER	7	19.9%	2025, 2024
Myanmar MMR	7	77%	2025, 2018
Mali MLI	7	38.9%	2025, 2023

Freedom House, Freedom in the World
World Bank, World Development Indicators

Sources

Political rights (FH)

Political rights rating

Freedom House · via Our World in Data · Free to use with attribution · updated annual

Scored 1 to 7, where 1 is most free. That is the reverse of most measures on this site. Covers elections, the freedom to form competing parties, and how government works. Freedom House changed its method in 2003, adding scores for smaller categories. But the 1-7 ratings are still the published series that runs through all the years.

Secondary enrollment

School enrollment, secondary (% gross)

UNESCO Institute for Statistics · CC BY 4.0 · updated quarterly

How this was computed

Data used: most recent value in 2010-2025; values come from 2012–2025. 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 Political rights (FH) and Secondary enrollment

This page shows that two measures go together. It does not show that Political rights (FH) changes Secondary enrollment, or the reverse. These figures also describe countries, not individual people. See the ecological fallacy.