A standards calculator measures overlap
Age, height, income, and relationship status may each sound common alone. The pool can shrink quickly when all of them must occur in the same person, which is why the combined estimate matters.
Translate measurable dating standards into a percentage, estimated count, and one-in-N result. Both sexes stay visible so the comparison is consistent and screenshot-ready.
RUN THE CALCULATOR↓The estimate updates as you go.
Age, height, income, and relationship status may each sound common alone. The pool can shrink quickly when all of them must occur in the same person, which is why the combined estimate matters.
Honesty, warmth, attraction, communication, faith, politics, and relationship skills are not reliable fields in the public datasets used here. The result is therefore a demographic estimate, not a complete compatibility score.
Change one standard at a time and inspect the receipt. That reveals which measurable preference creates the biggest numerical tradeoff without telling you which preference you should keep.
It counts age, personal income, and current marital status jointly in ACS microdata, then applies age-specific CDC height and optional BMI estimates.
There is no universal numerical cutoff. The tool shows demographic rarity; whether a smaller pool is acceptable is a personal decision involving priorities, patience, location, and real-world compatibility.
Choose the United States, any state, or the District of Columbia. Exact city claims are intentionally avoided because the source microdata does not identify every city.
Plain-language answers for the dating-statistics questions people are already arguing about—each connected to the underlying calculator.