A fall of less than one point can look modest until the scale, comparison and population are clear. The World Happiness Report 2026 international analysis found that average life evaluations among people aged 15 to 24 in the United States, Canada, Australia and New Zealand fell by 0.86 points on a scale from 0 to 10.

The researchers compared 2006–2010 with 2023–2025. Across 136 countries, 85 recorded higher life evaluations among under-25s in the recent period. The four mainly English-speaking countries, grouped as NANZ, ranked between 122nd and 133rd for change in youth happiness.

Social media is part of the report’s explanation, especially when use is heavy, compulsive or dominated by passive feeds. But the international pattern defeats a simple exposure theory. Young people in other regions use social media at broadly similar rates without the same collapse in life evaluation.

The report’s central measure is the Cantril Ladder. Gallup World Poll respondents imagine a ladder from zero, the worst possible life for them, to ten, the best possible, and place their current life on it. That is a reflective evaluation, not a measure of momentary cheerfulness, psychiatric diagnosis or the frequency of positive emotions.

Gallup surveys people from age 15. “Under 25” in this analysis therefore means ages 15 to 24, not infants, children and all adolescents. The comparison also uses different representative samples across time. It did not follow the same individuals from 2006 to 2025.

The global contrast is wide. In eight of ten regions, covering about 90 per cent of the world’s population, the youngest group’s life evaluations improved either in absolute terms or relative to people aged 25 and above. Only NANZ and Western Europe declined on both measures.

The report’s executive synthesis describes heavy social-media use as an important part of the explanation in some countries. It explicitly rejects the idea that one factor fully caused a trend that varies so sharply across continents.

Combining four countries produces the 0.86-point average, but the fall was larger in the United States and Canada than in Australia and New Zealand. The United Kingdom and Ireland also declined, though by considerably less than NANZ and not significantly more than the rest of Western Europe.

That matters for a theory based on English-language content. If sharing a language and large platforms were sufficient, all six countries should have moved in closer formation. Instead, three geographically separated pairs showed distinct trends.

French-speaking Quebec adds another clue. Its youth decline was significantly smaller than in the rest of Canada, which is mainly English-speaking. Language and culture may shape the content encountered online or the way platforms are used. The comparison remains observational, so it does not isolate either mechanism.

The same caution applies to the broad phrase “English-speaking West.” It is a useful label for the puzzle, not a single culture or policy environment. Housing, education, employment prospects, family life and public institutions differ across these countries and changed across the study period.

The report did not absolve social media. A PISA analysis of more than 270,000 students examined 15- and 16-year-olds across an international dataset. Among girls, mean life satisfaction was highest for light users, defined as less than one hour a day, and declined as hours increased. Among boys, that pattern appeared mainly in Western Europe and the English-speaking countries available in PISA.

Non-use was not always best. Among boys in particular, both non-users and the heaviest users were more likely to report very low and very high life satisfaction. The average curves hide substantial variation between teenagers.

Different online activities also travelled with different outcomes. Communication, news, learning and content creation were associated with higher life satisfaction. Social media, gaming and browsing for fun were associated with lower evaluations at high use. Latin American data further suggested that platforms centred on social connection had more positive associations than algorithmic, influencer-heavy feeds.

A separate analysis of 331,240 adolescents in 43 countries linked compulsive or addictive patterns of use with more psychological complaints and lower life evaluation everywhere studied. The association was generally harsher for adolescents from less affluent families.

The strongest cross-national complication is a data gap. PISA supplied both internet-activity and life-satisfaction data for 47 countries, but none of the four NANZ countries was in that complete sample. The United States and Australia collected internet-use information without the life-satisfaction question. Canada and New Zealand collected neither measure in the relevant module.

To estimate how much usage could explain the unusually large US decline, the authors applied the relationship between social-media hours and life satisfaction found in the UK and Ireland. Higher US use explained only 8 per cent of the difference for girls and 5 per cent for boys.

That is evidence against hours alone as a sufficient explanation, but it is indirect. It assumes the UK and Irish slopes are a reasonable stand-in for the United States. It cannot reproduce the answer that a complete, contemporaneous survey of all four NANZ countries would have provided.

At the country level, average hours of social-media use had no significant relationship with the relative happiness of the young. Latin American countries combined some of the highest social-media use with comparatively strong youth wellbeing, while English-speaking countries sat near the bottom despite fairly typical patterns of use.

The PISA analysis placed social media beside school attendance, academic performance and school belonging. Among girls in the UK and Ireland, moving from low to high school belonging was associated with a life-satisfaction difference four times larger than moving from heavy to light social-media use. Across the 47-country sample, the belonging association was six times larger.

This does not prove that declining school belonging produced the historical fall. A teenager who is thriving may find it easier to feel connected at school, and other conditions can influence both. The result shows why screen time cannot be separated from the offline life surrounding it.

Questions of family resources strengthen that conclusion. Problematic use was associated with worse wellbeing across socioeconomic groups, but the link with lower life evaluation was often stronger among less affluent adolescents. The same platform can meet different levels of family support, neighbourhood safety, school climate and access to offline activities.

ScienceBlog has previously examined why teen social-media bans outrun the experimental evidence. That does not mean doing nothing. It means a policy aimed only at access may miss design features, compulsive use, social comparison and the offline conditions that make some young people more vulnerable.

The World Happiness Report deliberately included authors who disagree about the scale of social media’s causal role. Its chapter on turning research into technology policy found substantial differences in how major organisations assessed similar evidence. Short public advisories can produce clear recommendations while stripping away uncertainty; exhaustive reviews can preserve nuance while becoming difficult to use.

The US National Academies reached a similarly careful position in its review of social media and adolescent health: the evidence indicates both risks and benefits, varies by person and platform, and leaves major causal questions unresolved.

The 2026 report’s conclusion therefore has two halves. Heavy and problematic social-media use are credible risks, especially for girls, disadvantaged adolescents and users exposed to passive or algorithmic feeds. Yet hours and access do not explain why youth wellbeing fell by almost a point in four countries while improving across most of the world.

The unresolved causes are likely to sit across digital design and offline life: belonging, relationships, economic expectations, schools, families, culture and what online activity replaces. The international divergence is real. Social media belongs in the explanation, but the geography of the decline shows that it cannot stand there alone.