Who lives in Rochester Hills, Michigan?
Michigan · Midwest · 76K residents · Suburban
Key signals
vs. national baselineHow Rochester Hills compares
Where Rochester Hills 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
Rochester Hills is a suburb of about 76,000 people in Oakland County, roughly 20 miles north of Detroit and built up along the I-75 and M-59 corridors. Oakland University sits on its northern edge, and the local payroll leans hard on engineering and applied science: robotics at FANUC, automotive systems work at firms like Webasto, and the broad supplier network that feeds Detroit's carmakers. That shows up as a college-educated, upper-income population, with the age curve tilted slightly older than the country (mean age about 48) and a notable dip in the 25-34 band.
The loudest thing about these households is how they handle their own care. Close to half are proactive about healthcare, screening and planning rather than waiting for symptoms, which lands at roughly three times the national share and is the single most distinctive trait here. It reads like an engineering temperament applied to the body: catch the problem early, before it becomes expensive.
Gender split
vs. national baselineAge distribution
audience % · vs. national baselineHow they think
Personality sits almost exactly at the national mean across every Big Five axis, so the story is not temperament. It is method. The real distance shows up in habits, and the through-line is planning ahead. Decision speed tracks the country closely, with a mild lean toward deliberate over impulsive choices, the pattern of people who do their homework before they commit.
Risk tolerance is the one place where the engineer's caution shows through. The lowest-risk bucket runs a few points above national while the middle holds steady, suggesting households comfortable enough to take a measured bet but allergic to a careless one.
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
Trust in companies runs a little warmer than the national norm. The fully trusting share sits above average and the cynical end thins out, which fits a workforce that builds and sells engineered products and tends to assume competence behind a brand rather than bad faith. Preference for local business is modestly above national too, with very few who feel no pull toward neighborhood merchants at all.
Environmental and ethical priorities mostly track the country. Slightly fewer residents are unconcerned about the environment than average, and active engagement holds near baseline, so green framing reads as a reasonable expectation here rather than a cause that wins anyone over on its own.
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
Channels look like middle America. Facebook leads at about 31%, in line with the country, and Instagram, YouTube, and the rest fall close to national shares, with no single platform overweight enough to anchor a buy by itself. Content format preference is similarly even across text, short video, long video, and audio.
The reach lever is substance, not placement. This is an audience that researches before it commits, so long-form explanation, specs, and proof carry weight that a clever 15-second spot will not. Meet them where they already are and lead with detail.
Where attention lives
social platformFormat mix
content formatHow they spend
This is a balance-sheet population. About 48% save aggressively, close to double the national rate, while the non-saver share drops to under 10%. Excellent credit is the norm for roughly 46%, and only a small minority sit outside investing entirely, far below the national share of non-investors. Financial stress runs low for about half of households, which tracks the income and the discipline.
How they buy is more ordinary. Price and quality drive purchases at national rates, and monthly to weekly shopping runs slightly heavier than average. The money story here is about what gets kept and put to work, not how it gets spent.
Purchase motivation
Purchase frequency
Savings behavior
How they live
Wellness is where this suburb separates itself. Beyond the proactive healthcare posture, about 58% treat sleep as a high priority, well above the national third, and roughly half describe themselves as proactive about health generally, with the indifferent share nearly vanishing. Spending backs it up: only about 12% keep wellness spending minimal, less than half the national rate.
Openness to mental wellness runs ahead of the country as well. The share who keep it private is small and the openly engaged and advocate groups are both elevated, the mark of an educated population that treats psychological health as one more system worth maintaining rather than a private struggle to hide.
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 Rochester Hills, Michigan (healthcare style, sleep priority, and savings 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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