Adolescents & Young AdultsPolicy & Government
Three Explanations for Youth Loneliness, and Which One Gets Funded
National strategies aimed at loneliness treat young adults as the highest-risk group, but the policies they fund assume a cause the evidence has not isolated.
Center for Social Connection

The Harvard Graduate School of Education’s Making Caring Common project found that 61% of young adults aged 18 to 25 reported serious loneliness, against 36% of Americans overall. Cigna’s 2020 workplace survey put the youth figure even higher: 73% of workers aged 18 to 22, and more than 80% of employed Gen Z respondents. These are different instruments, different samples, and different years, so the two numbers should not be averaged. But they point the same direction, and that direction is unusual. In the mortality literature, age typically moves the other way — isolation is a more dangerous condition for older adults, whose networks shrink through bereavement and retirement. Julianne Holt-Lunstad’s 2015 meta-analysis in Perspectives on Psychological Science found isolation and loneliness more predictive of early death in samples averaging under 65 than in older samples, which complicates the assumption that loneliness is chiefly an older-adult problem even as the mortality risk runs younger. The prevalence data now says something stranger still: young adults are not just at higher biological risk when isolated, they report the highest rates of loneliness itself.
Three explanations circulate for why. Governments writing loneliness strategies have to choose among them, implicitly or explicitly, because the choice determines what gets built.
Explanation one: the network is smaller than it used to be
The American Enterprise Institute’s Survey Center on American Life found that the share of Americans reporting no close friends rose from 3% in 1990 to 12% in 2021. Among men, the share with at least six close friends fell from 55% to 27% over the same period, and the share with no close friends at all rose fivefold. If young adults are lonelier because their networks are objectively smaller, the fix is structural: more occasions for people to meet and re-meet, of the kind Robert Putnam described disappearing across the twentieth century in Bowling Alone. This explanation treats loneliness as a downstream symptom of a shrinking Dunbar layer — the “50 friends” and “150 meaningful contacts” tiers Robin Dunbar has argued are cognitively bounded but not automatically filled.
Explanation two: the venues are gone
Ray Oldenburg’s concept of the third place — the café, bar, or barbershop that is neither home nor work — offers a different mechanism. It is not that young adults want fewer friends; it is that the informal, low-stakes venues where casual acquaintance turns into friendship have closed or thinned out. Eric Klinenberg’s Palaces for the People extends this into a policy claim: libraries, parks, and other shared physical infrastructure measurably shape rates of contact, and their decline or defunding is not neutral. Under this account, the fix is not persuading young people to prioritize friendship, but rebuilding the physical settings where friendship forms without anyone having to try.
Explanation three: the survey and the moment are not comparable
A third possibility is not causal at all — it is measurement. The Harvard and Cigna figures were collected within the pandemic period and its immediate aftermath, when young adults were disproportionately affected by disrupted schooling, job entry, and the loss of exactly the institutional contact — dorms, entry-level offices, in-person classes — that produces friendship formation in that age band. Cross-sectional surveys taken during an acute disruption cannot distinguish a durable generational pattern from a temporary one. The AEI friendship data, collected across three decades, is more useful here precisely because it is not a single snapshot; it shows the decline in close friendship predates the pandemic by years. That undercuts the pure timing explanation without settling which of the two structural stories — network size or venue availability — is doing the work.
What the strategies actually fund
The BMC Public Health review published in June 2023 names inconsistent measurement as a persistent barrier to comparing findings, and the same imprecision shows up one level up, in policy design. The UK’s 2018 loneliness strategy, the first national strategy of its kind, put money into social prescribing and into embedding loneliness measurement in the Office for National Statistics — an approach compatible with either the network or the venue explanation, since social prescribing can route a person toward either individual therapeutic contact or group activity depending on the referral. Japan’s 2021 appointment of a Minister of Loneliness and Isolation followed a comparable logic, oriented more toward coordinating existing services than toward a specific mechanism. The U.S. Surgeon General’s 2023 advisory and the accompanying National Strategy to Advance Social Connection go further in naming a mechanism: pillar one is explicitly about strengthening social infrastructure, the built environment and local institutions Klinenberg describes, which suggests the U.S. strategy leans toward the venue explanation over the network-size one. But none of the three national efforts commits to testing which mechanism actually explains the youth-skewed prevalence figures before funding a remedy for it.
That ordering — intervene, then measure — is defensible when the cost of waiting is high and the interventions are cheap and low-risk, which social infrastructure investment mostly is. It is less defensible as a basis for claiming success. A strategy built on the venue explanation will show little effect if the true driver is network size, or if the 2021 prevalence figures were an artifact of pandemic timing that resolves on its own as young adults age past the disrupted cohort period. Distinguishing these would require repeated measurement of the same young-adult cohorts across several years using a consistent instrument, tracking both network size and venue access alongside loneliness scores, before and after specific infrastructure investments. Nothing in the current evidence base does that. Until it does, the honest description of youth loneliness policy is that it is responding to a real and well-documented number with a plausible, unverified story about what produced it.
Sources
- Loneliness in America: How the Pandemic Has Deepened an Epidemic of Loneliness
- Loneliness and the Workplace: 2020 U.S. Report
- The State of American Friendship: Change, Challenges, and Loss
- Loneliness and Social Connections: A National Survey of Adults 45 and Older
- Loneliness and Social Isolation as Risk Factors for Mortality: A Meta-Analytic Review
- Bowling Alone: The Collapse and Revival of American Community
- The Great Good Place: Cafes, Coffee Shops, Bookstores, Bars, Hair Salons and Other Hangouts at the Heart of a Community
- Palaces for the People: How Social Infrastructure Can Help Fight Inequality, Polarization, and the Decline of Civic Life
- Dunbar's Number: Why My Theory That Humans Can Only Maintain 150 Friendships Has Withstood 30 Years of Scrutiny
- Our Epidemic of Loneliness and Isolation: The U.S. Surgeon General Advisory on the Healing Effects of Social Connection and Community
- Social Connection: Surgeon General's Advisory and National Strategy
- A Connected Society: A Strategy for Tackling Loneliness
- Japan Appoints Minister of Loneliness and Isolation
- The State of Loneliness and Social Isolation Research: Current Knowledge and Future Directions