How rare is your type in Singapore?

The maths is boring, the result isn't

Each criterion keeps a share of the population and discards the rest. Stack them and the shares multiply. As a simple illustration — not our actual figures — if each of four filters kept half the field, you would be left with a sixteenth of where you started. That's the whole trick, and it's why a list of four "sensible" preferences can cut the field by more than 90%.

Income is the sharpest filter

Singapore's published figures for monthly household income per household member put the median at around S$3,439. The 70th percentile sits near S$5,131, and the 90th near S$9,442. So "S$6,000 or more per household member" is not a mainstream preference — it is roughly the top fifth of the resident population before you have filtered for anything else at all.

Age narrows faster than people expect

Singles are not spread evenly across the age range. Using resident population by age and marital status, our working estimates put roughly 95,000 single (never married, divorced or widowed) resident women in the 25-29 band, about 62,000 in the 30-34 band, and about 38,000 in the 35-39 band. On those figures, the pool of single women in their late thirties is around 60% smaller than in their late twenties — so the same six-year age window is a materially smaller slice the later you set it.

These age figures are rounded working estimates derived from the Census of Population and Population Trends tables rather than a single published cell, so treat them as order-of-magnitude rather than exact, unlike the income percentiles above.

Education is a real, but softer, cut

Around 38% of residents aged 25 and over hold a university degree, and roughly 55% hold a diploma or professional qualification and above. Asking for a degree therefore removes about three in five people — meaningful, but less brutal than a high income floor.

What the number is, and isn't

Our calculator multiplies each share independently. That assumes the filters are statistically unrelated, which is not perfectly true — income and education move together, for instance. So treat the output as a rough scale of scarcity rather than a headcount. The point isn't precision. The point is that once your shortlist is a few thousand people in a city of millions, browsing is a terrible way to find them.

Figures are drawn from Singapore government open data published by SingStat via data.gov.sg (household income per household member, resident population by age and marital status, and highest qualification attained), reused under the Singapore Open Data Licence.

The honest conclusion

Rare doesn't mean unavailable. It means volume-based dating is the wrong tool. If the people who fit you are a small fraction of the city, what you need is someone doing the finding — asking better questions up front and making one considered introduction at a time.