data that hits different

the stuff no one
told you in school

real data. real examples. interactive stories about the issues actually shaping gen z lives.

scroll to start ↓
chapter 1 — student debt & careers
£0
average student debt on graduation day (England, 2024)

your degree costs ~£48k. but what you actually pay back depends entirely on your salary. the bottom 20% of earners repay just £11k before it's written off. the top 20% repay £87k — nearly double what they borrowed. same loan. wildly different outcomes. here's how the system really works.

years to repay & total paid back — select a career to compare
repays in full (cash paid)
interest on top of principal
written off at yr 30
add more careers:
who actually pays what — hover each quintile to see typical careers (source: IFS Feb 2026)
vertical line = £48k borrowed. bars left of it = state absorbs the rest. bars right = graduate overpays in interest.
chapter 2 — housing & rent crisis
0×
average home now costs 9× the average salary — it was 4× in 2000

over 50% of boomers owned property by age 30. for millennials that figure is below 30% — and falling. rents now swallow 70% of the median under-30s weekly expenditure. this isn't a lifestyle choice. it's a structural collapse. (source: Resolution Foundation)

boomers who owned by age 30
>50%
millennials who own by age 30
<30%
rent as % of median take-home pay — by city
sorted highest to lowest — bars animate on switch
pick your city — see what's actually left after rent ↓
chapter 3 — dating & relationships
0%
use dating apps for validation — not to actually date (clinical study)

the apps haven't fixed dating — they've turned it into a dopamine loop. 61% of 18–29 year olds are more interested in finding out who finds them attractive than in actually dating. the numbers behind how this plays out are genuinely shocking. (source: MTV / Psychology Today / Gym Group / Strava)

users who've never dated a match
33%
talked to someone with no intent to meet
39%
the app funnel — from match to real outcome (source: Psychology Today / WifiTalents / MTV)
285 matches
average swipes & likes
61% more interested in who likes them than dating
MTV study, 18–29 yr olds
1 in 57 → meetup
5 meetups
from 285 matches
33% of users have never dated a match
WifiTalents
1 in 5 → outcome
1 outcome
relationship or hookup
80% never had sex with an app match
Psychology Today
0.35%
of matches → any real outcome
64% use apps for validation not dating  ·  39% talk with no intent to meet  ·  43% swiped right with no attraction
where women's attention actually goes — all ranks pursue the top 20% of men
Dating app attention concentration: women across all attractiveness ranks direct attention overwhelmingly to top 20% of men Arrow diagram showing women on the left and men on the right. Nearly all arrows from all women point to the top 20% of men, with only faint arrows reaching the bottom 80%. women men attention flows → top 10% of women 10–20% 20–30% 30–40% 40–50% 50–60% 60–70% 70–80% 80–90% bottom 10% top 20% of men receive 78% of all attention match rate: 25–35% · avg 15+ matches/day bottom 80% of men share only 22% of attention match rate: 0.6% · avg 1–2 matches/day 6% of matches convert to hookup most never get a real-world outcome strong attention (top women) moderate minimal / rare source: OkCupid / Psychology Today / Bespoke Surgical 2024 / roast.dating 2024
0.6%
avg male match rate
vs 10% for women
1–2
matches/day for avg man
vs 15–20 for women
6%
of straight men's matches
→ hookup (vs 20% gay men)
20%
of gay men's matches
convert to a hookup
which app do you use? see what the data says about it ↓
chapter 4 — politics & power
0%
of young people believe democracy in the UK doesn't work well or is "completely broken"

housing and the economy are the universal grievances — felt equally across gender, class and ethnicity. but the issues that diverge hardest by gender are immigration, equality, and social media. click any card to see the full breakdown. (source: UK Youth Poll 2025 / ITV/Savanta / YouGov / Resolution Foundation)

18–25s with no trust in politics
2 in 3
who'd change vote for student loan reform
84%
gen z media & political formation — media ecosystems view

Gen Z vs previous generations: what's new, what's intensified, and how men and women consume political media differently

Issues every generation has fought about — Gen Z's version is louder, not new
Boomers
Nuclear war anxiety
Housing unaffordability (1970s–80s)
Unemployment / stagflation
Gender equality (2nd wave)
Anti-war protests
Distrust of government (post-Watergate)
Gen X
AIDS crisis / health fear
Youth unemployment
Political cynicism (Thatcher/Reagan)
Culture wars (family values)
Environmental degradation
Drug/crime moral panic
Millennials
2008 crash / lost decade
Student debt explosion
Housing ladder locked out
Precarious work / gig economy
Identity politics emergence
Climate anxiety (first wave)
Gen Z
Housing — worse than Millennials
Precarious work — but also AI threat
Gender politics — but gender gap wider
Political cynicism — deeper still
Climate — now existential, not future
Identity — but now algorithmically sorted
The honest reading: Gen Z's material grievances are amplified versions of what Millennials faced, not new categories. What is structurally new is the information environment in which those grievances are processed — algorithm-sorted, hyper-personalised, and designed to maximise emotional engagement rather than accuracy.
What is genuinely new — no previous generation faced these
AI & work New Not just automation anxiety (that's older) but the specific threat of AI replacing entry-level graduate jobs — the traditional first rung — before careers even begin. 33% drop in graduate listings in one year. Millennials entered a broken job market after 2008; Gen Z may enter one with structural AI-driven gaps in the entry level.
Algorithm identity New Political identity formed inside hyper-personalised filter bubbles from age 12–14 onward. No previous generation had their political formation mediated by engagement-optimising AI systems. Boomers formed views through shared broadcast media. Gen Z forms views through divergent algorithmic feeds — meaning two people the same age, same school, same street, now inhabit different political realities.
Gender war online New Previous generations had gender politics; none had it mediated by platforms that algorithmically sort men and women into opposite ideological ecosystems before adulthood. The gender gap in political views has existed historically but was never 21 points among the youngest cohort and growing. The mechanism — not the grievance — is new.
Second-gen renters Intensified Gen Z is the second consecutive generation to own less than their parents at the same age. This is historically unprecedented in modern capitalism. Previous generations faced hard housing markets; none faced the realistic expectation that home ownership is structurally impossible without inheritance. The aspiration still exists (81% want to own) but the structural route has closed.
Compound crises Intensified Gen Z has experienced overlapping structural crises — financial crash aftermath, austerity, Brexit, pandemic, cost of living shock — all before age 25. Previous generations experienced one or two formative crises. The compound nature produces a different psychological relationship to institutions: not single-event cynicism but chronic systemic distrust.
Atomisation Existed, worse Loneliness is not new. But Gen Z is the loneliest recorded generation, and the mechanisms are new: youth centre closures, later partnering, social media replacing in-person connection, pandemic timing during developmental years. The political consequence is that belonging needs — previously met by community, church, or union — are now met by ideological online communities, making political identity more tribal and total.
Young men's media ecosystem
YouTube
Primary
Reddit
2× women
X / Twitter
2× women
Podcasts
Dominant
Twitch
Gaming/news
TikTok
Lower
Long-form video essays (YouTube)
Podcasts: Rogan, Peterson, political commentary
Reddit debate threads, political subreddits
Gaming communities (Twitch, Discord) as political entry points
Finance/self-improvement content as gateway
Top political issue framing: economy, immigration, personal advancement
Young women's media ecosystem
TikTok
Primary news
Instagram
2× men
Snapchat
Higher
Pinterest
Higher
YouTube
Strong
Threads
Growing
Short-form TikTok political commentary
Feminist activist creators and educators
Mental health, wellness as political entry
Instagram activism guides, infographic politics
Climate / Gaza / rights-based communities
Top political issue framing: democracy, rights, gender equality, Gaza
Vs older generations: how political information gets formed
Boomers Broadcast TV, national newspapers, radio. Shared information environment — same BBC news, same tabloids. Political identity formed through party affiliation and class loyalty, supplemented by local community structures (church, union, pub). Slow-moving, high-trust sources.
Gen X TV + early internet. Began fragmentation (satellite news, early blogs). Still largely shared national media but with rising cynicism toward it. Political identity still class and geography-anchored. First generation to use the internet for information but not to form political identity through it.
Millennials Early social media (Facebook, Twitter) + blogs. Non-algorithmic feeds — you chose who you followed. Political identity shaped by 2008 crash, Iraq War, and early social media but still with residual shared sources (newspapers, mainstream sites). Last generation to form political views before the algorithm.
Gen Z Fully algorithmic from political formation age. No shared national media environment. TikTok's For You page, YouTube recommendations, Reddit communities — all curated to individual engagement history from age 12–14. Two people same age same town now in completely different political information universes. Platform choice itself (YouTube vs TikTok) already predicts political direction.
The key shift: Previous generations consumed media and formed politics. Gen Z has their politics formed by the media — not as passive consumption but as active algorithmic sorting into communities, identities and worldviews before they have the conceptual tools to interrogate them. Twice as many young women use TikTok as their primary news source vs young men. Young men are twice as likely to use YouTube. This single platform divergence predicts most of the political divergence.
How young men get politically sorted — the content pathway
Entry: Gaming, sports, comedy content on YouTube / Twitch / Reddit — apolitical starting point
↓
Step 1: Self-improvement / finance content surfaces. "How to be successful", "how money works." Figures like Andrew Tate appear first in reaction/mocking videos, not endorsement.
↓
Step 2: Algorithm surfaces "grievance adjacent" content — male loneliness, economic unfairness, dating difficulty. Legitimate material anxieties.
↓
Step 3: Manosphere content provides a causal narrative: "feminism / progressivism caused your problems." Podcasts (Rogan, Peterson) offer longer-form ideological framing. The diagnosis feels accurate; the cause is the constructed part.
↓
Exit points: Most stop here — entertained but not ideologically captured. 5–8% who voted Trump in 2024 already show buyer's remorse. A minority continue to more extreme content via further algorithmic progression.
How young women get politically sorted — the content pathway
Entry: Mental health, wellness, beauty, lifestyle content on TikTok / Instagram. Begins in personal space, not political.
↓
Step 1: TikTok algorithm surfaces creators connecting personal experience to structural causes — harassment, body standards, pay gaps, reproductive rights. "The personal is political" via short-form video.
↓
Step 2: Formative political events (Dobbs ruling, #MeToo, specific elections) land inside an already-primed community that frames them immediately as political threats. Reaction is rapid and community-amplified.
↓
Step 3: Instagram activism culture ("infographic politics") + TikTok feminist commentary creates identity investment in progressive causes. LGBTQ+ community, climate, Gaza, racial justice layer in as intersecting concerns.
↓
Exit points: Most settle in broadly progressive positioning. A smaller subset reaches more absolutist positions (4B movement, political celibacy, complete men-aversion). More likely to be high-information and high-turnout than male equivalents.
The key structural difference between the two pathways
Men's path Begins apolitical, gets sorted into ideology by algorithmic recommendation. The community (gaming, podcasts) comes first; the politics follows. Platform is primarily YouTube/Reddit — long-form, debate-oriented, argument-based. Ideology is acquired through content consumption.
Women's path Begins personal, gets connected to systemic causes by lived experience + community. The politics follows from events that directly affect them (Dobbs, #MeToo, relationship with manosphere). Platform is primarily TikTok/Instagram — short-form, identity-based, emotion-led. Ideology is reinforced through community belonging.
Both pathways are platform-mediated and algorithm-amplified. But the women's pathway is more likely to produce durable progressive identity because it's rooted in lived experience; the men's is more volatile because it's rooted in content consumption. This is why young men shifted toward Trump in 2024 and showed buyer's remorse by 2025, while young women's progressive identification has held steady or increased.
The most underreported divide: class and education fracture within Gen Z
Graduate Gen Z More likely to be optimistic (70% in work vs 44% unemployed), more likely to vote, more likely to engage with structured political arguments, more likely to follow the green-left pipeline. University acts as an institutional amplifier of progressive identity. Primarily TikTok/Instagram users. More likely to frame issues in terms of rights and systemic causes.
Non-graduate Gen Z More economically precarious, more likely to abstain from voting, less likely to feel their vote makes a difference. Less likely to use TikTok's political content ecosystem; more likely to use YouTube and gaming spaces. More likely to frame issues in terms of personal economic survival. The group most likely to vote Reform if they vote at all — but mostly they don't vote.
Employed vs unemployed Employment status predicts optimism more than gender, ideology or media consumption. 70% of employed young people are optimistic about their future vs 44% of the unemployed. Politically, employed Gen Z engages more; unemployed Gen Z is the most likely to disengage entirely. The "politically homeless" — who show up in no party's data — are concentrated in unemployed, non-graduate, non-homeowning young people.
Regional split London Gen Z inhabits a different political universe from Northern or rural Gen Z. 53% of low-income young people in London experience housing stress. The London-centric media and political conversation about Gen Z (graduate, progressive, climate-focused, TikTok-native) describes a minority. Most Gen Z outside major cities are more immediately focused on economic survival than identity politics.
The John Smith Centre's core finding: the differences within Gen Z — by class, education, region, ethnicity and gender — are now larger than the differences between Gen Z and older generations. The generation war framing is obsolete. The real story is class and opportunity fracture within a single cohort.