Methodology at a glance
One traceable path from source to range
Supported countries start with a national demographic proxy. The calculator then applies only the factors shown in the result panel, softens overlapping restrictions, and reports a planning range. Countries without a connected data profile stay in preference-only mode and do not receive a demographic percentage.
1. National baseline
A supported country starts with a public relationship-status proxy and gender-specific baseline.
2. Visible factors
Age, income, height, market breadth, and active preferences become separate, inspectable factors.
3. Overlap adjustment
Later restrictions are softened so the model does not present a naive product as exact joint probability.
4. Planning range
The midpoint is widened into a deliberately broad range instead of a false point estimate.
What the result means
It is
A scenario-planning range that shows how a national baseline and the visible choices in the tool interact under the current model.
It is not
A forecast of finding a partner, a live count of available people, or a statistical confidence interval derived from joint microdata.
Model specification
The formulas used by the calculator
The notation below mirrors the production implementation. Values are clamped to prevent extreme inputs from producing a misleading zero or impossible certainty.
1. Individual factors
A = clamp((ageMax - ageMin + 1) / 34, 0.10, 1.00)I = clamp((100 - incomePercentile) / 100, 0.05, 0.95)H = clamp(1 - max(0, heightCm - 160) x 0.016, 0.22, 1.00)M = clamp(cityFactor x areaFactor, 0.72, 1.22)City factors begin at 1.16 for the first listed market and step down by 0.025, bounded between 0.82 and 1.16. Search-area factors are 0.90 for selected city, 1.00 for metro, and 1.08 countrywide. This is a disclosed market-breadth assumption, not city census data.
2. Priority and overlap
R = product(f_i ^ (w_i x d_i))A dealbreaker has weight 1, a preference 0.45, and an ignored field 0. The first ordered factor uses d = 1; later factors use d = 0.72. This dampening reduces the false precision created by multiplying correlated filters as though they were independent.
3. Midpoint and range
P = clamp(B_g x R x 100, 0.2, 95)U = max(2, P x 0.22)range = [max(0.1, P - U), min(99, P + U)]B_g is the supported country baseline for the selected gender context. U is a model uncertainty allowance of 22% of the midpoint, with a minimum width of two percentage points. It is intentionally not labeled a formal confidence interval.
Evidence boundary
Measured data and modeled assumptions stay separate
Public or user-provided
- National relationship or marital-status context
- Country-level earnings or income-distribution anchors
- The age, height, income, and location choices entered in the browser
Modeled and disclosed
- The relative breadth assigned to listed cities and search areas
- Compatibility-selectivity weights for lifestyle preferences
- The overlap dampening applied after the first ordered factor
- The uncertainty band around the calculated midpoint
Not measured
- Whether a person is actively dating
- Mutual attraction or willingness to meet
- Compatibility, relationship quality, or future success
- Dating-app activity or a live count of available people
Worked example
Reading a result without overstating it
Consider the default United States scenario: New York, selected city, age 25-35, with income and height ignored. The national baseline is adjusted by the visible city and age factors. The age factor is softened because it follows the market factor in the ordered calculation.
The result is displayed as a broad eligible-share range. It does not mean that every person in that range is single, nearby, interested, mutually compatible, or available to meet. Changing a field lets the user compare scenarios; it does not create a forecast about an individual relationship.
Interpretation rule
Compare changes, not destiny.
The most useful signal is which visible factor changes the range, not the final decimal itself.
Source register
Country data used in supported estimates
Official national sources provide context, not a live dating census. Income values are interpolated between broad anchors in each country profile and are never presented as exact local quantiles.
United States
Canada
United Kingdom
Australia
Germany
Netherlands
France
Türkiye
PolskaReview individual assumptions and local-language explanations in the country data directory.
Known limitations
- Relationship status is a demographic proxy, not proof that someone is available or actively dating.
- City selection changes a visible market-breadth assumption; it is not a city-level census match count.
- Lifestyle factors use stated compatibility weights, not invented local prevalence estimates.
- The range does not model attraction, mutual interest, relationship success, or platform activity.
Governance and corrections
A maintained model, not a permanent claim
Current release
- Version
- 2.1
- Reviewed
- August 15, 2026
- Maintainer
- Dating Standards Calculator Team
We update a country profile when a materially newer official release is available or when its assumptions can be made clearer. Formula changes receive a new model version and review date.
Found a source problem or a result that does not match the stated method? Please send a correction. We review evidence-based reports and update the public record.
Use the model as a transparent way to compare scenarios, then read the factor breakdown before interpreting the range.
Try the interactive estimate