placestats

Electoral democracy vs. Fixed broadband

Fades after adjusting for income

Across 167 countries, Electoral democracy and Fixed broadband 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 +0.28, which could easily be chance (q = 0.12, 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 electoral democracy, 0.258 to 0.74 points, fixed broadband is better by 15.5 per 100 people at the top of that range than the bottom. Comparing only countries with similar national income, the gap is 5.21 per 100 people.

Link before adjusting (r)+0.527p = 2.4e-13 · 167 countries
After adjusting for national income+0.283p = 0.000 · likely range [+0.14, +0.42]
p, allowing for regions0.025standard error 0.096 · 7 regions
Check for luck (q)0.123across 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.

Electoral democracy · index (0-1)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

Electoral democracy · index (0-1) →Fixed broadband · per 100 people →0.0160.913048.9Afghanistan: 0.069 index (0-1), 0.0801 per 100 peopleAngola: 0.344 index (0-1), 0.363 per 100 peopleAlbania: 0.484 index (0-1), 24.9 per 100 peopleUnited Arab Emirates: 0.104 index (0-1), 40.8 per 100 peopleArgentina: 0.69 index (0-1), 26.1 per 100 peopleArmenia: 0.614 index (0-1), 20.3 per 100 peopleAustralia: 0.844 index (0-1), 36.5 per 100 peopleAustria: 0.839 index (0-1), 30.1 per 100 peopleAzerbaijan: 0.171 index (0-1), 21.8 per 100 peopleBurundi: 0.185 index (0-1), 0.0203 per 100 peopleBelgium: 0.889 index (0-1), 44.2 per 100 peopleBenin: 0.493 index (0-1), 0.277 per 100 peopleBurkina Faso: 0.134 index (0-1), 0.851 per 100 peopleBangladesh: 0.195 index (0-1), 8.09 per 100 peopleBulgaria: 0.599 index (0-1), 37 per 100 peopleBahrain: 0.139 index (0-1), 17 per 100 peopleBosnia and Herzegovina: 0.498 index (0-1), 29.4 per 100 peopleBelarus: 0.163 index (0-1), 36.3 per 100 peopleBolivia: 0.605 index (0-1), 12.1 per 100 peopleBrazil: 0.784 index (0-1), 24.1 per 100 peopleBarbados: 0.797 index (0-1), 37.5 per 100 peopleBhutan: 0.566 index (0-1), 2.92 per 100 peopleBotswana: 0.665 index (0-1), 7.44 per 100 peopleCentral African Republic: 0.293 index (0-1), 0.0161 per 100 peopleCanada: 0.84 index (0-1), 42.5 per 100 peopleSwitzerland: 0.882 index (0-1), 47 per 100 peopleChile: 0.839 index (0-1), 23.7 per 100 peopleChina: 0.072 index (0-1), 47.2 per 100 peopleCote d'Ivoire: 0.394 index (0-1), 1.6 per 100 peopleCameroon: 0.26 index (0-1), 2.13 per 100 peopleCongo, Dem. Rep.: 0.306 index (0-1), 0.032 per 100 peopleCongo, Rep.: 0.243 index (0-1), 1.27 per 100 peopleColombia: 0.679 index (0-1), 17.2 per 100 peopleComoros: 0.293 index (0-1), 0.388 per 100 peopleCabo Verde: 0.745 index (0-1), 8.31 per 100 peopleCosta Rica: 0.862 index (0-1), 23.3 per 100 peopleCyprus: 0.773 index (0-1), 37.6 per 100 peopleCzechia: 0.849 index (0-1), 38.9 per 100 peopleGermany: 0.828 index (0-1), 45.6 per 100 peopleDjibouti: 0.25 index (0-1), 1.47 per 100 peopleDenmark: 0.913 index (0-1), 43.4 per 100 peopleDominican Republic: 0.735 index (0-1), 11.2 per 100 peopleAlgeria: 0.265 index (0-1), 13.3 per 100 peopleEcuador: 0.607 index (0-1), 17.2 per 100 peopleEgypt, Arab Rep.: 0.187 index (0-1), 11.7 per 100 peopleSpain: 0.822 index (0-1), 39.2 per 100 peopleEstonia: 0.887 index (0-1), 35.4 per 100 peopleEthiopia: 0.257 index (0-1), 0.594 per 100 peopleFinland: 0.852 index (0-1), 36.5 per 100 peopleFiji: 0.507 index (0-1), 1.8 per 100 peopleFrance: 0.865 index (0-1), 48.9 per 100 peopleGabon: 0.302 index (0-1), 4.69 per 100 peopleUnited Kingdom: 0.772 index (0-1), 42.2 per 100 peopleGeorgia: 0.401 index (0-1), 30.4 per 100 peopleGhana: 0.711 index (0-1), 0.665 per 100 peopleGuinea: 0.187 index (0-1), 0.00628 per 100 peopleGambia, The: 0.641 index (0-1), 0.519 per 100 peopleGuinea-Bissau: 0.252 index (0-1), 0.386 per 100 peopleEquatorial Guinea: 0.172 index (0-1), 0.101 per 100 peopleGreece: 0.741 index (0-1), 44.7 per 100 peopleGuatemala: 0.637 index (0-1), 5.34 per 100 peopleGuyana: 0.515 index (0-1), 12.9 per 100 peopleHong Kong SAR, China: 0.151 index (0-1), 40.3 per 100 peopleHonduras: 0.511 index (0-1), 4.58 per 100 peopleCroatia: 0.686 index (0-1), 29.6 per 100 peopleHaiti: 0.238 index (0-1), 0.307 per 100 peopleHungary: 0.421 index (0-1), 37.5 per 100 peopleIndonesia: 0.462 index (0-1), 4.92 per 100 peopleIndia: 0.377 index (0-1), 3.15 per 100 peopleIreland: 0.887 index (0-1), 32.3 per 100 peopleIran, Islamic Rep.: 0.159 index (0-1), 12.1 per 100 peopleIraq: 0.369 index (0-1), 17.6 per 100 peopleIceland: 0.807 index (0-1), 37.5 per 100 peopleIsrael: 0.694 index (0-1), 29.2 per 100 peopleItaly: 0.745 index (0-1), 31.8 per 100 peopleJamaica: 0.805 index (0-1), 16 per 100 peopleJordan: 0.282 index (0-1), 7.02 per 100 peopleJapan: 0.819 index (0-1), 38.6 per 100 peopleKazakhstan: 0.259 index (0-1), 15.3 per 100 peopleKenya: 0.563 index (0-1), 3.04 per 100 peopleKyrgyz Republic: 0.313 index (0-1), 7.8 per 100 peopleCambodia: 0.183 index (0-1), 4.15 per 100 peopleKorea, Rep.: 0.819 index (0-1), 47.8 per 100 peopleKuwait: 0.138 index (0-1), 1.01 per 100 peopleLao PDR: 0.135 index (0-1), 2.72 per 100 peopleLebanon: 0.419 index (0-1), 7.29 per 100 peopleLiberia: 0.597 index (0-1), 0.275 per 100 peopleLibya: 0.193 index (0-1), 4.52 per 100 peopleSri Lanka: 0.783 index (0-1), 8.47 per 100 peopleLesotho: 0.661 index (0-1), 0.379 per 100 peopleLithuania: 0.786 index (0-1), 27.8 per 100 peopleLuxembourg: 0.869 index (0-1), 40.3 per 100 peopleLatvia: 0.834 index (0-1), 25.8 per 100 peopleMorocco: 0.259 index (0-1), 7.3 per 100 peopleMoldova: 0.553 index (0-1), 29.6 per 100 peopleMadagascar: 0.361 index (0-1), 0.124 per 100 peopleMaldives: 0.556 index (0-1), 19.6 per 100 peopleMexico: 0.469 index (0-1), 21.7 per 100 peopleNorth Macedonia: 0.562 index (0-1), 29.9 per 100 peopleMali: 0.164 index (0-1), 0.774 per 100 peopleMalta: 0.783 index (0-1), 44.5 per 100 peopleMyanmar: 0.08 index (0-1), 2.87 per 100 peopleMontenegro: 0.636 index (0-1), 32.3 per 100 peopleMongolia: 0.535 index (0-1), 15.8 per 100 peopleMozambique: 0.279 index (0-1), 0.142 per 100 peopleMauritania: 0.328 index (0-1), 0.947 per 100 peopleMauritius: 0.738 index (0-1), 28 per 100 peopleMalawi: 0.557 index (0-1), 0.0864 per 100 peopleMalaysia: 0.504 index (0-1), 13.5 per 100 peopleNamibia: 0.633 index (0-1), 2.83 per 100 peopleNiger: 0.227 index (0-1), 0.111 per 100 peopleNigeria: 0.505 index (0-1), 0.0787 per 100 peopleNicaragua: 0.151 index (0-1), 5.78 per 100 peopleNetherlands: 0.832 index (0-1), 43 per 100 peopleNorway: 0.89 index (0-1), 45.2 per 100 peopleNepal: 0.656 index (0-1), 10.1 per 100 peopleNew Zealand: 0.849 index (0-1), 38 per 100 peopleOman: 0.175 index (0-1), 11.1 per 100 peoplePakistan: 0.302 index (0-1), 1.47 per 100 peoplePanama: 0.728 index (0-1), 18.1 per 100 peoplePeru: 0.667 index (0-1), 11.7 per 100 peoplePhilippines: 0.392 index (0-1), 7.14 per 100 peoplePapua New Guinea: 0.467 index (0-1), 0.233 per 100 peoplePoland: 0.768 index (0-1), 25.4 per 100 peoplePortugal: 0.822 index (0-1), 45.2 per 100 peopleParaguay: 0.581 index (0-1), 12.9 per 100 peopleQatar: 0.034 index (0-1), 11.8 per 100 peopleRomania: 0.605 index (0-1), 35.8 per 100 peopleRussian Federation: 0.17 index (0-1), 27.1 per 100 peopleRwanda: 0.193 index (0-1), 0.596 per 100 peopleSaudi Arabia: 0.016 index (0-1), 44.1 per 100 peopleSudan: 0.13 index (0-1), 0.0604 per 100 peopleSenegal: 0.633 index (0-1), 4.04 per 100 peopleSingapore: 0.434 index (0-1), 27.8 per 100 peopleSolomon Islands: 0.696 index (0-1), 0.107 per 100 peopleSierra Leone: 0.471 index (0-1), 0.00227 per 100 peopleEl Salvador: 0.321 index (0-1), 12.5 per 100 peopleSomalia, Fed. Rep.: 0.165 index (0-1), 0.723 per 100 peopleSerbia: 0.3 index (0-1), 33.4 per 100 peopleSao Tome and Principe: 0.632 index (0-1), 2.99 per 100 peopleSuriname: 0.781 index (0-1), 18.8 per 100 peopleSlovak Republic: 0.733 index (0-1), 33.8 per 100 peopleSlovenia: 0.692 index (0-1), 34.2 per 100 peopleSweden: 0.889 index (0-1), 40.6 per 100 peopleEswatini: 0.128 index (0-1), 2.51 per 100 peopleSeychelles: 0.76 index (0-1), 31.6 per 100 peopleSyrian Arab Republic: 0.128 index (0-1), 6.86 per 100 peopleChad: 0.242 index (0-1), 0 per 100 peopleTogo: 0.351 index (0-1), 1.42 per 100 peopleThailand: 0.424 index (0-1), 14.9 per 100 peopleTajikistan: 0.158 index (0-1), 0.984 per 100 peopleTurkmenistan: 0.148 index (0-1), 5.22 per 100 peopleTimor-Leste: 0.736 index (0-1), 0.006 per 100 peopleTrinidad and Tobago: 0.786 index (0-1), 27 per 100 peopleTunisia: 0.395 index (0-1), 15 per 100 peopleTurkiye: 0.293 index (0-1), 23.4 per 100 peopleTanzania: 0.365 index (0-1), 0.246 per 100 peopleUganda: 0.253 index (0-1), 0.208 per 100 peopleUkraine: 0.386 index (0-1), 21.7 per 100 peopleUruguay: 0.862 index (0-1), 33 per 100 peopleUnited States: 0.735 index (0-1), 38.9 per 100 peopleUzbekistan: 0.218 index (0-1), 34.7 per 100 peopleViet Nam: 0.146 index (0-1), 23.7 per 100 peopleVanuatu: 0.729 index (0-1), 1.16 per 100 peopleSouth Africa: 0.743 index (0-1), 5.35 per 100 peopleZambia: 0.497 index (0-1), 0.79 per 100 peopleZimbabwe: 0.268 index (0-1), 1.94 per 100 peopleAFGARECHECHNFRAGHAMMRNORSAUSDNTLSVUT

best-fit line line after adjusting

Four ways to measure the link

MethodrpCountries
Standard (Pearson), not adjusted+0.5272.4e-13167
By rank (Spearman), not adjusted+0.5243.5e-13167
Standard (Pearson), adjusted for national income+0.2830.000167
By rank (Spearman), adjusted for national income+0.2200.004167

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 167 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: +0.245 (a minus sign means it grew).

How solid is it?

Leaving out one country at a time, r ranges from +0.240 (without QAT) to +0.330 (without CHN). 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 (+0.047).

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 & Pacific21+0.07
Europe & Central Asia48+0.32
Latin America & Caribbean23+0.51
Middle East, North Africa, Afghanistan & Pakistan21+0.36
Sub-Saharan Africa46+0.30

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 third56-0.09
Middle third55-0.10
Richest third56+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.

nr
Christians99+0.19
Muslims47-0.02

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.

nr
France25-0.13
Never a European colony21+0.17
Spain19+0.32
United Kingdom49+0.46

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 = +0.283 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 = -0.017, 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 electoral democracy moved did not tend to see their fixed broadband move with it.

Across countries (adjusted)+0.283for comparison
Within countries-0.073each country vs itself
…and vs the same year elsewhere-0.017q = 0.842 · 171 countries
Year-on-year changes-0.003q = 0.920
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.

3,668 country-years (one country in one year), 171 countries, 1998–2024, about 22 years each on average. Share of the variation that happens within countries over time: 6% for Electoral democracy, 38% 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

0.20−0.2-100+10years Fixed broadband trails Electoral democracy →lag -10: r = 0.033 (n = 2,190)lag -9: r = 0.027 (n = 2,368)lag -8: r = 0.015 (n = 2,539)lag -7: r = -0.001 (n = 2,696)lag -6: r = -0.007 (n = 2,866)lag -5: r = -0.003 (n = 3,034)lag -4: r = 0.005 (n = 3,204)lag -3: r = 0.006 (n = 3,374)lag -2: r = 0.007 (n = 3,529)lag -1: r = -0.003 (n = 3,668)lag +0: r = -0.017 (n = 3,668)lag +1: r = -0.030 (n = 3,668)lag +2: r = -0.048 (n = 3,668)lag +3: r = -0.076 (n = 3,668)lag +4: r = -0.097 (n = 3,668)lag +5: r = -0.110 (n = 3,668)lag +6: r = -0.112 (n = 3,668)lag +7: r = -0.109 (n = 3,668)lag +8: r = -0.111 (n = 3,667)lag +9: r = -0.110 (n = 3,657)lag +10: r = -0.118 (n = 3,641)

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.

This curve peaks at the edge of the window (lag +10), so it is still drifting where the search stops. That pattern usually reflects a slow trend left over in the data, not a link with real timing. The peak value should not be read as the “true” link at the right lag.

The data


index (0-1)

per 100 people
Years
Denmark DNK0.91343.42025, 2024
Norway NOR0.8945.22025, 2024
Sweden SWE0.88940.62025, 2024
Belgium BEL0.88944.22025, 2024
Ireland IRL0.88732.32025, 2024
Estonia EST0.88735.42025, 2024
Switzerland CHE0.882472025, 2024
Luxembourg LUX0.86940.32025, 2024
France FRA0.86548.92025, 2024
Uruguay URY0.862332025, 2024
Costa Rica CRI0.86223.32025, 2024
Finland FIN0.85236.52025, 2024
New Zealand NZL0.849382025, 2024
Czechia CZE0.84938.92025, 2024
Australia AUS0.84436.52025, 2024

Coppedge, M. et al., V-Dem Dataset, Varieties of Democracy (V-Dem) Project
World Bank, World Development Indicators

Sources

Electoral democracy

Electoral democracy index (polyarchy)

V-Dem Institute, University of Gothenburg · via Our World in Data · CC BY 4.0 · updated annual

Based on political scientist Robert Dahl's idea of "polyarchy": are leaders chosen in free and fair elections, with freedom of speech, freedom to form groups, and the vote for nearly all adults? It is the base index that most other V-Dem measures are built on.

Fixed broadband

Fixed broadband subscriptions (per 100 people)

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 2021–2025. 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 Electoral democracy and Fixed broadband

This page shows that two measures go together. It does not show that Electoral democracy changes Fixed broadband, or the reverse. These figures also describe countries, not individual people. See the ecological fallacy.

More links with Electoral democracy or Fixed broadband