Who lives in Taylor, Michigan
Michigan · Midwest · 63K residents · Suburban
Key signals
vs. national baselineHow Taylor compares
Where Taylor 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
Taylor sits at the center of the Downriver suburbs in Wayne County, the most populous of the towns strung along the river south of Detroit and within a short drive of the Ford plants and Detroit Metro Airport. About 63,000 people live here, with an age curve that tracks the country closely (a mean near 46 and the 25-to-34 band running a touch heavy at roughly 24%). This is a trades-and-shift-work place, and the deepest signals are economic rather than demographic.
The loudest one is how few residents make rest a priority. Only about 19% rank sleep highly, against closer to a third nationally, the kind of pattern that follows early starts and overtime more than any lifestyle choice. Credit health tells a similar story: roughly 12% hold excellent credit, about half the national rate, on a household economy with little margin to spare.
Gender split
vs. national baselineAge distribution
audience % · vs. national baselineHow they think
Personality in Taylor sits close to the national middle on every axis, so the story here is not temperament. Openness runs a few points low, the practical, show-me streak you would expect from a town built on trades and manufacturing, and the other four traits are within a point of average.
Decision-making is steady rather than dramatic. Residents lean a little quicker than deliberate when they buy, and their appetite for risk tilts modestly toward caution, with the high-risk end thinner than the country's. That fits a budget with no room for a bad call.
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
Support for local business is softer here than the national norm, with strong local loyalty sitting around 11% against roughly 16% nationally. In a suburb threaded with chain retail and big-box corridors off the freeways, the nearest and cheapest option usually wins over the independent one.
On the rest, Taylor lands near the middle. Environmental concern, ethical buying, and trust in big companies all track close to average, so neither a green pitch nor a corporate-skeptic one finds much extra traction. Price and quality drive purchases here in roughly national proportions.
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
Reach in Taylor runs through familiar channels. Facebook is the anchor platform at roughly 29%, with Instagram and YouTube behind it, and the platform mix overall sits close to the national pattern. Short video and a mixed feed do the most work; long-form text the least.
These residents are receptive but unhurried about advertising, sitting neutral toward ads more often than the country does. They are slow to chase the newest tool, with early tech adoption running well below average at about 17%, so meet them on the channels they already use rather than the latest one.
Where attention lives
social platformFormat mix
content formatHow they spend
This is a cautious-balance-sheet audience. Aggressive saving runs around 15% against 26% nationally, and roughly a third are non-savers, the profile of households living closer to the paycheck. Excellent credit, at about 12%, is half the national share, which means financing and big-ticket commitments meet more friction here.
Spending itself is measured rather than frequent. Weekly buyers are thin at about 12%, and most shopping clusters in the occasional-to-monthly range. Returns happen less often than average too, the mark of buyers who deliberate before the purchase rather than after.
Purchase motivation
Purchase frequency
Savings behavior
How they live
Health posture is one of the clearest signals in town. Only about 22% take a proactive approach to their health against closer to a third nationally, and the obsessive end barely registers at under 2%. Most residents land in the aware-but-not-acting middle, managing health reactively rather than building routines around it.
Wellness spending follows the same logic, with roughly 37% keeping it minimal. Openness to talking about mental health sits near the national mark, leaning toward the selective end, where people will discuss it with a trusted few rather than broadcast it.
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 Taylor, Michigan (sleep priority, credit health, and health consciousness) 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)
Need these insights for your own audiences?
Get full distributions on every audience in the library plus custom audience queries with your own filters.