Across 170 countries, Political rights (FH) and Price level rise and fall together at r = -0.59 (on a scale from −1 to +1, where 0 means no link). Comparing only countries with similar income (GDP per person) shrinks it to -0.40, which could easily be chance (q = 0.11, 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), 2 to 6 points, price level is 0.255 ratio to the US lower at the top of that range than the bottom. Comparing only countries with similar national income, the gap is 0.153 ratio to the US.
Link before adjusting (r)-0.590p = 2.6e-17 · 170 countries
After adjusting for national income-0.400p = 7.0e-8 · likely range [-0.52, -0.27]
p, allowing for regions0.021standard error 0.129 · 7 regions
Check for luck (q)0.108across 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.
Political rights (FH) · rating (1-7, 1 = most free)link with income -0.48 · moderate
Price level · ratio to the US (US = 1)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
-0.590
2.6e-17
170
By rank (Spearman), not adjusted
-0.627
5.6e-20
170
Standard (Pearson), adjusted for national income
-0.400
7.0e-8
170
By rank (Spearman), adjusted for national income
-0.421
1.2e-8
170
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 170 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: +0.190 (a minus sign means it grew).
How solid is it?
Leaving out one country at a time, r ranges from -0.413 (without MNG) to -0.387 (without RUS). 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: RUS (+0.013).
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
18
-0.44
Europe & Central Asia
48
-0.44
Latin America & Caribbean
31
-0.32
Middle East, North Africa, Afghanistan & Pakistan
19
-0.57
Sub-Saharan Africa
46
-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
57
-0.11
Middle third
56
-0.41
Richest third
57
-0.66
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
100
-0.33
Muslims
46
-0.02
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
-0.01
Never a European colony
20
-0.51
Spain
19
-0.10
United Kingdom
55
-0.36
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.
n
r
Nationalist
25
-0.02
No strong official ideology
110
-0.29
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.
n
r
A few parties banned
25
-0.41
No parties banned
116
-0.25
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 = -0.394 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.
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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 = -0.002, 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 price level move with it.
Across countries (adjusted)-0.400for comparison
Within countries+0.014each country vs itself
…and vs the same year elsewhere-0.002q = 0.963 · 175 countries
Year-on-year changes+0.005q = 0.841
5,831 country-years (one country in one year), 175 countries, 1990–2023, about 33 years each on average. Share of the variation that happens within countries over time: 13% for Political rights (FH), 22% for Price level. 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): -0.002. 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)
ratio to the US (US = 1)
Years
Viet Nam VNM
7
0.299
2025, 2023
Uzbekistan UZB
7
0.269
2025, 2023
Turkmenistan TKM
7
0.561
2025, 2023
Tajikistan TJK
7
0.291
2025, 2023
Chad TCD
7
0.363
2025, 2023
Syrian Arab Republic SYR
7
0.195
2025, 2023
Eswatini SWZ
7
0.363
2025, 2023
Somalia, Fed. Rep. SOM
7
0.403
2025, 2023
Sudan SDN
7
0.265
2025, 2023
Saudi Arabia SAU
7
0.504
2025, 2023
Russian Federation RUS
7
0.337
2025, 2023
Nicaragua NIC
7
0.377
2025, 2023
Niger NER
7
0.292
2025, 2023
Myanmar MMR
7
0.177
2025, 2023
Mali MLI
7
0.294
2025, 2023
Freedom House, Freedom in the World 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.
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.
Price level of household consumption, compared with the US (Penn World Table)
Groningen Growth and Development Centre, University of Groningen · via DataverseNL · CC BY 4.0 · updated irregular (new versions every few years)
How expensive the things households buy are in a country, compared with the US in the same year, when money is changed at the market exchange rate. A value of 0.5 means a typical basket of goods and services costs about half what it would in the US. Richer countries tend to be more expensive. It comes from the same price comparisons used to adjust GDP for what money buys, so it shares a building block with GDP per capita (PPP). Years in which the Penn World Table flags the price comparison as unreliable are left out. No "better" direction is set.
How this was computed
Data used: most recent value in 2010-2025; values come from 2016–2025. 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 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 Political rights (FH) and Price level
This page shows that two measures go together. It does not show that Political rights (FH) changes Price level, or the reverse. These figures also describe countries, not individual people. See the ecological fallacy.
More links with Political rights (FH) or Price level