Electricity use per person vs. Self-reported happiness
Holds up after adjusting for income
Across 106 countries, Electricity use per person and Self-reported happiness rise and fall together at r = +0.33 (on a scale from −1 to +1, where 0 means no link). Comparing only countries with similar income (GDP per person) shrinks it to +0.17 (q = 0.035, allowing for the many pairs tested). Much of the first figure is that both measures rise with national income, but a very weak positive link remains.
Comparing countries across the middle half of electricity use per person, 2,004 to 6,597 kWh per person, self-reported happiness is better by 2.18% of respondents at the top of that range than the bottom. Comparing only countries with similar national income, the gap is 1.38% of respondents.
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.
“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 | +0.325 | 0.001 | 106 |
| By rank (Spearman), not adjusted | +0.364 | 0.000 | 106 |
| Standard (Pearson), adjusted for national income | +0.175 | 0.075 | 106 |
| By rank (Spearman), adjusted for national income | +0.169 | 0.085 | 106 |
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 106 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: +0.151 (a minus sign means it grew).
How solid is it?
Leaving out one country at a time, r ranges from +0.162 (without QAT) to +0.203 (without ZMB). 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: ZMB (+0.028).
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 | 15 | +0.13 | |
| Europe & Central Asia | 48 | +0.27 | |
| Latin America & Caribbean | 14 | +0.07 | |
| Middle East, North Africa, Afghanistan & Pakistan | 14 | +0.33 |
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 | 36 | +0.03 | |
| Middle third | 35 | +0.10 | |
| Richest third | 35 | +0.36 |
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 | 62 | +0.15 | |
| Muslims | 29 | +0.31 |
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 | ||
|---|---|---|---|
| Never a European colony | 15 | +0.39 | |
| Spain | 12 | -0.24 | |
| United Kingdom | 25 | +0.03 |
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 = +0.200 after dropping 10 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 0years. So a link here can’t come from anything about a country that stays the same, such as its history, geography, institutions or culture.
Not enough history inside each country to look at this over time. That needs countries measured for several years in a row, and at least one of these measures is measured too rarely.
The data
kWh per person | % of respondents | Years | |
|---|---|---|---|
| Iceland ISL | 48,424 | 95.1% | 2024, 2022 |
| Norway NOR | 24,490 | 94.1% | 2025, 2022 |
| Kuwait KWT | 18,402 | 91.6% | 2025, 2014 |
| Qatar QAT | 18,030 | 98% | 2025, 2014 |
| Canada CAN | 16,090 | 84.9% | 2025, 2022 |
| Finland FIN | 15,610 | 88.9% | 2025, 2022 |
| United States USA | 13,061 | 88.2% | 2025, 2022 |
| Sweden SWE | 12,866 | 93.8% | 2025, 2022 |
| Korea, Rep. KOR | 12,090 | 89.1% | 2025, 2022 |
| Australia AUS | 10,615 | 89.6% | 2025, 2022 |
| Singapore SGP | 10,295 | 89% | 2025, 2022 |
| Luxembourg LUX | 9,846 | 93.6% | 2025, 2010 |
| Macao SAR, China MAC | 8,719 | 91% | 2024, 2022 |
| Japan JPN | 8,366 | 88.3% | 2025, 2022 |
| Austria AUT | 8,322 | 89.1% | 2025, 2022 |
Ember, Yearly Electricity Data; population from Our World in Data, with processing by Our World in Data
Haerpfer, C. et al., World Values Survey; EVS, European Values Study
Sources
Electricity use per person
Electricity demand per person (kWh)
Ember · via Our World in Data · CC BY 4.0 · updated annual
All the electricity a country uses in a year, divided by its population, in kilowatt-hours (kWh). One kWh runs a 100-watt bulb for ten hours. It counts the power made at home plus imports, minus exports, including the power lost in wires along the way. So it is a little higher than "consumption" figures that leave those losses out. Use per person ranges from under 100 kWh a year in parts of Africa to over 50,000 in Iceland, where aluminium smelters use most of it, so a few industries can set a small country's figure. It rises steeply with income, and is measured in percentage terms (on a log scale) where it is used for adjusting. No "better" direction is set: more electricity can mean more comfort and industry, or more waste.
Self-reported happiness
Share saying they are very happy or rather happy
World Values Survey Association and European Values Study · via Our World in Data · Free for non-commercial use with attribution · updated irregular (survey waves, roughly every 5 years)
A different question from the World Happiness Report's "ladder" question, and it ranks countries differently. The ladder asks people to rate their life from 0 to 10, where 10 is the best possible life. Answers to that lean heavily on material conditions, such as money and housing. This question asks directly whether people feel happy. Comparing the two is one of the more revealing pairs on the site. The survey runs in waves, not every year.
How this was computed
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 13,797 pairs at once, using the Benjamini–Hochberg method. Underlying data last updated DYB 2024. How the country data works · explore Electricity use per person and Self-reported happiness
This page shows that two measures go together. It does not show that Electricity use per person changes Self-reported happiness, or the reverse. These figures also describe countries, not individual people. See the ecological fallacy.
More links with Electricity use per person or Self-reported happiness
- Electricity use per person vs Interpersonal trust before +0.61 → after adjusting +0.41
- Electricity use per person vs Wellbeing score before +0.63 → after adjusting +0.36
- Electricity use per person vs Middle Eastern ancestry before +0.27 → after adjusting +0.26
- Electricity use per person vs Retirement age, men before +0.09 → after adjusting +0.26
- Self-reported happiness vs Women's political empowerment before -0.00 → after adjusting -0.20
- Electricity use per person vs Government spending per capita before +0.46 → after adjusting +0.19
- Electricity use per person vs Indigenous American ancestry before -0.12 → after adjusting -0.18
- Self-reported happiness vs Trust in government before +0.61 → after adjusting +0.56