Who lives in Manhattan, Kansas
Kansas · Midwest · 54K residents · Suburban
Key signals
vs. national baselineHow Manhattan compares
Where Manhattan lands when every US city is ranked on the same behavioral measures, and the cities whose residents most closely mirror its habits, values, and personality.
National standings
17 measures · percentile vs. 865 US citiesClosest matches
similarity, 0–100Who they are
Manhattan is a city of about 54,000 in the Flint Hills of northeast Kansas, where the Big Blue and Kansas rivers meet. Two institutions set the rhythm. Kansas State University fills the place with students and faculty, and Fort Riley sends a steady current of young soldiers and military families through town. The age curve tells the story: 18-to-24-year-olds make up roughly 37% of residents against about 13% nationally, while every band past 35 thins out, pulling the mean age down near 36.
That youth and transience drive the loudest financial signal on record here. About 34% of residents run over-leveraged, carrying debt heavier than their income comfortably supports, around 2.4 times the national share. Poor credit follows the same line at roughly a quarter of the population, more than double the typical rate, the natural footprint of students on loans and junior enlisted households early in their earning lives.
Gender split
vs. national baselineAge distribution
audience % · vs. national baselineHow they think
On personality these residents sit close to the national center on every Big Five trait, so the real distance is in behavior, not temperament. Decision-making leans slightly toward quick over deliberate, and appetite for risk tilts modestly toward the middle. Neither moves far enough to define the town.
Where the profile does separate is money under pressure. Nearly half of residents are non-savers, putting little or nothing aside in a given month, close to 1.7 times the national rate, and aggressive saving runs well below typical. This is a cash-flow town living close to the line between paychecks, stipends, and deployment cycles.
Decision psychology
audience % · vs. national baselineDecision speed
Risk tolerance
Personality fingerprint
Big Five (OCEAN) · 0–50–100 scaleAudience score on each Big Five axis. Dashed outline = national average.
Percentile position vs. 865 US cities. ● = this audience; center line = national median.
What they care about
Environmental concern runs a notch higher than average here. The unconcerned share sits below national while the active share climbs, fitting a university crowd and a region that lives next to the tallgrass prairie at the Konza and the Flint Hills byway. Corporate skepticism leans slightly cynical, with fewer residents inclined to trust big institutions at face value.
Loyalty to local business is softer than you might expect for a tight-knit college town. Strong local preference is uncommon and indifference is more frequent than average, consistent with a transient population that has not put down roots and a student budget that follows price over place.
Environmental priority
how much they prioritize sustainability when buying
Corporate skepticism
distrust of big-company motives and messaging
Local business preference
bias toward small/local over national chains
Ethical consumption
whether they actually act on ethical buying preferences
How to reach them
This is a cord-cutter audience. About 48% have dropped traditional pay TV against a third nationally, so reach runs through streaming and on-demand rather than cable. They are also harder to miss on podcasts and games than most: the share who never listen and the share who never play both sit well below average, a profile that reads young and digitally fluent.
On social, Facebook indexes low and TikTok runs noticeably high at roughly 15% as the primary platform versus about 9% nationally. Short video is the format that travels furthest here. Build for a phone screen, keep it brief, and place it where students and young soldiers already are rather than on the channels their parents use.
Where attention lives
social platformFormat mix
content formatHow they spend
Spending happens in frequent small increments. Monthly and occasional buyers make up the bulk of the town while weekly big-basket shopping runs below average, the pattern of households watching a tight balance rather than stocking up. Price and quality drive the cart in roughly the usual measure, so there is no unusual lever in motivation itself.
The pressure point is the balance sheet behind the cart. With non-saving and over-leverage both elevated, financing, installments, and any pitch that quietly stretches a budget meet a crowd already past comfortable limits. Offers that lower the monthly hit, or that help consolidate, land closer to what these households actually need.
Purchase motivation
Purchase frequency
Savings behavior
How they live
Health posture is engaged. Proactive and aware residents together outnumber the indifferent by a wide margin, the kind of body-conscious habit a campus rec culture and an active-duty base tend to build. The standout, though, is how openly people here treat their heads. Only about 9% keep mental health private against roughly 18% nationally, and the open and advocate shares both run above typical.
That openness is worth taking seriously when you reach this audience. A town this young, with a base population fluent in talking about stress and counseling, responds to direct, unstigmatized framing around wellness rather than coded or cautious language.
Health consciousness
audience % · vs. national baselineMental wellness openness
audience % · vs. national baselineHow this profile was built
This profile draws on a population of 10M+ statistically modeled U.S. adults, calibrated against Census ACS data, BLS employment statistics, CDC BRFSS (N>400K), and peer-reviewed personality and consumer research. The traits most distinctive to Manhattan, Kansas (debt attitude, savings behavior, and streaming behavior) are primarily derived from the peer-reviewed and federal sources listed below.
References
- 1.U.S. Census Bureau. American Community Survey — Demographic Tables (B01001, B15003, B19001, B23025, C24050)
- 2.Bureau of Labor Statistics. Occupational Employment and Wage Statistics / Current Employment Statistics
- 3.Bureau of Labor Statistics (2024). Consumer Expenditure Surveys
- 4.Centers for Disease Control and Prevention. Behavioral Risk Factor Surveillance System (BRFSS) (N=400,000)
- 5.Pew Research Center (2016). Technology Adoption by Baby Boomers (and Everybody Else) (N=1,520)
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