Wondering how many people actually fit your type? Explore your dating pool with real population data, your preferences, and a refreshingly honest bit of math.
Start broad, get specific. Your estimate changes as you go.
Checking the latest population data…
A useful estimate, not a prediction. People aren't probabilities. This doesn't measure attraction, mutual interest, or who is actively dating. See the methodology ↗
Dating is complicated. Our job is to make the statistics understandable, not pretend we know your future.
We pull age-and-sex population counts from the World Bank, based on UN population estimates. For religious affiliation, we use Pew's published country-level estimates where available. We also incorporate WHO, UNESCO and NCD-RisC measurements for selected filters.
Explore the data source ↗Height uses NCD-RisC country averages with a modelled distribution. WHO tobacco-use and UNESCO education figures are used where available through the World Bank API. The filters are not a measured joint probability.
Try different preferences ↗Someone meeting your checklist isn't the same as a good match. Chemistry, kindness, shared values and mutual interest aren't in these numbers.
Read the FAQs ↗About the math: Age bins are allocated proportionally when your range cuts through a five-year group. Each extra filter is applied as a separate illustrative factor, without country-specific joint-distribution data. Religious affiliation uses Pew Research Center's 2020 share of people of all ages for the selected location, assumed to apply equally to your chosen age and sex. It is not a measured joint distribution. Height means refer to a historical birth cohort, while the assumed 7.5 cm height spread is not a measured country-specific standard deviation. WHO tobacco use (ages 15+, age-standardized) and UNESCO educational attainment (ages 25+) are applied as independent sex-specific modelling factors, not an age-specific joint distribution. The displayed range is a sensitivity scenario, not a statistical confidence interval. Results are rounded to avoid false precision. Pew methodology ↗
A bigger ocean doesn't promise a better connection. But a little perspective can change the way you look at the sea.
Here's what's behind the calculator, without the fine-print fog.
It's a way to explore how frequently people might meet your stated preferences within a population. OtherFish uses published population counts for age and sex, then applies clearly marked scenario assumptions for additional criteria.
The population counts come from a published statistical source, but the combined preference result is an illustration, not a measured probability. The model cannot measure correlations between preferences or know who is open to meeting you. Broader ranges highlight sensitivity to assumptions.
Where available, OtherFish uses Pew Research Center's 2020 Global Religious Composition estimates. Its seven categories reflect religious identification, not how actively someone practises. Pew's countrywide percentages are for all ages. We apply the share as an illustrative factor to your selected age and sex because the public country-level percentages don't provide a matching age-by-sex breakdown. If data for a location or category is missing, we won't fabricate a figure. Pew Research Center bears no responsibility for the analyses or interpretations of the data presented here. The opinions expressed herein, including any implications for policy, are those of the author and not of Pew Research Center. Pew does not endorse OtherFish.
Height estimates use NCD-RisC 2016 country-by-sex mean heights for the 1996 birth cohort, processed by Our World in Data. The range is modelled using an assumed distribution and is not an observed share of all adults. Tobacco prevalence comes from WHO via World Bank (age-standardised, ages 15+, smoked and smokeless tobacco but not vaping). Bachelor's attainment comes from UNESCO via World Bank (ages 25+). Their age definitions differ from your chosen age range, so results remain illustrative. Missing indicators do not silently use invented percentages.
Salary amounts aren't comparable across countries because currencies, living costs, wages and employment patterns vary. A top-income-percentile filter works as a transparent mathematical scenario. It does not represent a verified income distribution for your age bracket.
We don't run an account system or a server collecting answers. The estimate is calculated in your browser. Your browser contacts the World Bank API when it needs population, tobacco or education data. For some countries, selecting a height preference also requests NCD-RisC data from Our World in Data. No account is required. If you choose to share a link, its URL includes your preferences so someone else can open the same scenario.
Not at all. It describes a population scenario, not your odds of meeting, attracting or connecting with a particular person. Compatibility, geography within a country, timing and mutual interest are not modeled.
