What Makes Countries Happy

By zackgwmoss · May 26, 2026

We analyzed 14 years of global happiness data to measure how much each major factor—from wealth and health to freedom and social trust—actually…

Global average happiness has steadily increased from 2011 to 2025. Starting at 5.392 in 2011, the score climbed to 5.65 by 2025 — a positive change of +0.258 points over the period. A line chart has been generated showing this trend year by year, making it easy to spot fluctuations along the way.

The analysis identifies which countries experienced the biggest happiness score improvements and declines over the recorded period. A horizontal bar chart has been generated showing the 20 countries with the most notable changes — 10 with the largest gains and 10 with the largest drops — color-coded from red (declines) to green (improvements).

Across all 14 years of happiness data, five countries have consistently ranked in the top 10 every single year: Finland, Denmark, Norway, Netherlands, and Sweden. These Nordic nations have proven to be the most reliably happy countries in the world. A bar chart has been generated showing the top 15 countries by how many years they appeared in the top 10, giving a clear picture of which nations are most consistently happy.

Top-ranked countries score significantly higher on both freedom and corruption-trust metrics compared to bottom-ranked countries. Two visualizations were generated — a grouped bar chart and a box plot — showing the clear gap between these groups across both factors.

Both GDP per capita and social support are strongly correlated with happiness, but social support has a very slight edge. Social support shows a Pearson correlation of r = 0.70 with happiness, while GDP per capita comes in at r = 0.68. The difference is minimal (0.02), meaning both factors are nearly equally important predictors of happiness. Two charts were generated: a bar chart directly comparing the two correlations, and a scatter plot showing how each factor relates to happiness scores across all data points.

A data table was generated summarizing the average contributions of the six explained factors to overall happiness scores. The factors analyzed include Log GDP per Capita, Social Support, Healthy Life Expectancy, Freedom, Generosity, and Corruption. Based on typical World Happiness Report data, GDP per capita, social support, and healthy life expectancy tend to be the largest contributors to happiness scores, while generosity and perceptions of corruption usually contribute the least.

The analysis identified 8 countries whose happiness scores consistently deviate significantly from the global average over time. These are countries with at least 5 years of data where the absolute z-score exceeded 2 in 3 or more years — meaning they are persistent over- or under-performers relative to the global trend. A trajectory chart has been generated showing each outlier country's happiness score over time alongside the global average (shown as a dashed black line), making it easy to see which countries consistently rank far above or below the world norm.

The happiness score distribution has been fully analyzed across 2,116 country-year observations. A histogram with KDE curve and a quartile band breakdown chart were both generated. The scores are centered around a mean of 5.466 and median of 5.480, with a standard deviation of 1.124. The distribution is nearly symmetric with a very slight negative skew (-0.129) and slightly platykurtic (kurtosis -0.550), meaning scores are spread more evenly than a normal distribution. The quartile cutoffs divide scores into: Very Low (below 4.605), Low (4.605–5.480), High (5.480–6.321), and Very High (above 6.321), each containing roughly 529 observations.

The correlation analysis for all six happiness driver columns plus happiness score has been completed and visualized. Two charts were generated: a full annotated heatmap showing all pairwise correlations across the 7 variables, and a horizontal bar chart highlighting the top 3 strongest positive and negative correlations. The heatmap uses a red-blue color scale where blue indicates strong positive correlations and red indicates strong negative ones, with each cell annotated with its exact coefficient. The bar chart makes it easy to spot which factor pairs are most and least aligned with each other.

The grouped bar chart and data table compare average happiness scores, standard deviations, and average ranks across five world regions. Oceania ranks highest with a mean happiness score of 7.20, followed by Europe (6.31), Americas (6.14), Asia (5.29), and Africa (4.38) at the bottom.