Across 187 countries, Civil liberties (FH) and Fixed broadband rise and fall together at r = -0.51 (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, 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 civil liberties (fh), 2 to 5 points, fixed broadband is worse by 12.4 per 100 people at the top of that range than the bottom. Comparing only countries with similar national income, the gap is 3.78 per 100 people.
Link before adjusting (r)-0.505p = 1.7e-13 · 187 countries
After adjusting for national income-0.240p = 0.001 · likely range [-0.37, -0.10]
p, allowing for regions0.044standard error 0.095 · 7 regions
Check for luck (q)0.170across 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.
Civil liberties (FH) · rating (1-7, 1 = most free)link with income -0.49 · moderate
Fixed broadband · per 100 peoplelink with income +0.88 · proxy
“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
-0.505
1.7e-13
187
By rank (Spearman), not adjusted
-0.522
1.8e-14
187
Standard (Pearson), adjusted for national income
-0.240
0.001
187
By rank (Spearman), adjusted for national income
-0.225
0.002
187
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 187 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: +0.265 (a minus sign means it grew).
How solid is it?
Leaving out one country at a time, r ranges from -0.274 (without CHN) to -0.216 (without QAT). 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: CHN (-0.034).
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
30
-0.06
Europe & Central Asia
50
-0.39
Latin America & Caribbean
32
-0.46
Middle East, North Africa, Afghanistan & Pakistan
21
-0.22
Sub-Saharan Africa
46
-0.26
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
63
-0.01
Middle third
62
+0.03
Richest third
62
-0.54
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
109
-0.14
Muslims
48
+0.10
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
+0.17
Never a European colony
21
-0.22
Spain
20
-0.66
United Kingdom
63
-0.33
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 = -0.240 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 27years. 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 = -0.024, 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 civil liberties (fh) moved did not tend to see their fixed broadband move with it.
Across countries (adjusted)-0.240for comparison
Within countries+0.027each country vs itself
…and vs the same year elsewhere-0.024q = 0.735 · 192 countries
Year-on-year changes+0.002q = 0.957
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.
4,081 country-years (one country in one year), 192 countries, 1998–2024, about 21 years each on average. Share of the variation that happens within countries over time: 5% for Civil liberties (FH), 37% for Fixed broadband. 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): -0.024. 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)
per 100 people
Years
Turkmenistan TKM
7
5.22
2025, 2022
Tajikistan TJK
7
0.984
2025, 2023
Somalia, Fed. Rep. SOM
7
0.723
2025, 2023
Sudan SDN
7
0.0604
2025, 2022
Myanmar MMR
7
2.87
2025, 2024
Iran, Islamic Rep. IRN
7
12.1
2025, 2024
Equatorial Guinea GNQ
7
0.101
2025, 2022
Central African Republic CAF
7
0.0161
2025, 2022
Belarus BLR
7
36.3
2025, 2024
Azerbaijan AZE
7
21.8
2025, 2024
Afghanistan AFG
7
0.0801
2025, 2023
Viet Nam VNM
6
23.7
2025, 2024
Uzbekistan UZB
6
34.7
2025, 2024
Turkiye TUR
6
23.4
2025, 2024
Chad TCD
6
0
2025, 2024
Freedom House, Freedom in the World World Bank, World Development Indicators
Freedom House · via Our World in Data · Free to use with attribution · updated annual
Scored 1 to 7, where 1 is most free. Covers freedom of speech and belief, the right to form groups, the rule of law and personal freedom. The same expert review process produces the political rights rating, so the two are bound to match closely.
International Telecommunication Union · CC BY 4.0 · updated quarterly
Subscriptions, not people. A household line counts once, however many people use it. A country that went straight to mobile data can be well connected with few of these lines. Internet users, already on the site, is the measure of people.
How this was computed
Data used: most recent value in 2010-2025; values come from 2015–2025. 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 Civil liberties (FH) and Fixed broadband
This page shows that two measures go together. It does not show that Civil liberties (FH) changes Fixed broadband, or the reverse. These figures also describe countries, not individual people. See the ecological fallacy.
More links with Civil liberties (FH) or Fixed broadband