The data universe, weighting logic, physical-trait assumptions, state boundary, and interpretation rules behind every result.
UPDATED JULY 21, 2026The base model covers U.S. residents ages 20–69 in the 2024 American Community Survey one-year Public Use Microdata Sample. National and state results use the person weight supplied by the Census Bureau.
The calculator does not claim that every person counted is single, actively dating, attracted to the user, geographically reachable, or mutually compatible. The optional relationship filter means not currently married; it does not prove active availability.
Age, annual personal income, sex, state, and current marital status come from the same person record. Those filters are counted jointly rather than multiplying unrelated headline percentages.
The generated data tables aggregate records into age, income, sex, and marital-status cells. The public generator is versioned with the site so the model can be rebuilt from the official source ZIP.
Height uses age- and sex-specific percentile tables from the CDC/NCHS report based on August 2021–August 2023 NHANES examination data. The model interpolates a distribution within published age bands and applies the resulting rate to the Census-derived pool.
Because the Census records do not include measured height, the site labels this step as modeled. Height is treated as independent of income and marital status, an assumption that can differ from reality.
The BMI-below-30 filter uses sex- and age-specific measured obesity prevalence from CDC/NCHS NHANES tables. It is a clinical threshold used for one optional model input, not a measure of attractiveness, health, character, or worth.
Like height, it is applied independently because no source in the model jointly observes every selected trait.
Each state report uses its own weighted ACS PUMS records. Washington, D.C. is included. State selection changes the Census-derived age, income, and marital-status pool; the national CDC physical-trait distributions remain the model input.
Exact city counts are intentionally absent. PUMS identifies states and Public Use Microdata Areas, not every exact city. A future city estimate must use a separate geographic model and state its uncertainty.
The spend section reports a 2026 Bank of America Better Money Habits survey conducted online by Ipsos among 1,133 U.S. Gen Z adults ages 18–29. The survey was weighted to national benchmarks and reported a sampling margin of error of plus or minus three percentage points.
The 51% zero-spend result covers the full surveyed population, including respondents who were not actively dating. It is not transaction data or a count of active daters.
The percentage denominator is the selected sex and age cohort in the selected geography. “One in N” is the reciprocal of that modeled share. Estimated headcounts may include fractional people because weighted survey estimates are not administrative rosters.
Rarity is not a diagnosis. The model does not estimate mutual attraction, orientation, personality, intent, distance, app activity, or the probability of a real relationship.
See the separate expectations study protocol for preference data.