ANNUAL DATA REVIEW / 2026

Dating
Wrapped.

Five numbers from one consistent U.S. population model—and one separate spending survey with its denominator attached.

01 / THE STARTING RECEIPT

Before “picky,”
define the list.

MEN1 IN 6

WOMEN1 IN 72

The default U.S. receipt uses ages 25–35, at least 5′8″, at least $50K in personal income, and not currently married. Height is modeled; the remaining filters are counted jointly in ACS PUMS.

02 / THE VIRAL LIST1 IN 123

men

Ages 25–35, 6′0″+, $100K+, not married, BMI below 30.

03 / SAME EXACT LIST1 IN 18K

women

The same thresholds, same age cohort, and same national population model.

04 / BIGGEST MARGINAL FILTERincome

for men

Removing it while holding every other viral filter constant expands the male pool by 9.5×.

05 / BIGGEST MARGINAL FILTERheight

for women

Its counterfactual pool is 500× larger. Marginal impacts overlap and cannot be added.

SEPARATE SURVEY / NOT CALCULATOR DATA51%

reported $0 in monthly dating spend.

Bank of America and Ipsos surveyed 1,133 U.S. adults ages 18–29 in February 2026. The weighted result covers the full Gen Z sample, including people who were not actively dating, and has a reported ±3-point sampling margin.

Open the original report ↗
SOURCE LEDGER

Every year needs receipts.

2024 ACS PUMSAge, income, education, marital status, sex2021–23 NHANESMeasured height distributionsModel cardWeighting, BMI, assumptions, limits
FAQ

What this edition does not claim.

What is Dating Wrapped 2026?+

It is an editorial annual snapshot built from The Pool Report’s versioned 2024 ACS and CDC/NCHS model plus separately cited 2026 dating-spend research. It is not a survey of the site’s users.

Why does the edition use 2024 Census data?+

The calculator uses the latest ACS one-year PUMS edition built into this release. The year is stated because demographic source years do not automatically match the publication year.

Are the male and female pools actual available daters?+

No. The not-married filter does not prove active dating, orientation, attraction, compatibility, or interest. The figures are population estimates under a disclosed filter set.

Can the filter percentages be added together?+

No. Each filter audit removes one condition while holding the rest constant. The marginal effects overlap and are not independent shares.

Build your own 2026 receipt →