Dating app use by age and identity

Read each demographic rate within its group

SSRS found in January 2026 that 10% of U.S. adults ages 18 to 29, 8% of ages 30 to 49, and 2% of adults 50 and older used online dating at the time. It also found current use of 14% among LGBTQIA+ adults and 4% among adults who did not identify as LGBTQIA+. These percentages answer, 'What share of this group used online dating?' They do not answer, 'What share of dating-app users belongs to this group?' The direction of that fraction matters. A group can have a high use rate while making up a smaller part of all users if its population is smaller.

The SSRS survey covered 2,012 U.S. adults, including people who were partnered or not seeking a date. Its current-use question refers to any dating site or app, without separating service membership or how often an app was opened. When someone says 'dating-app demographics,' they may mean the age, gender, or identity makeup of a particular service. These national within-group use rates do not provide that membership breakdown. The table below names the group in the first column so the denominator stays attached to each figure. That is the first check before drawing a conclusion about who is on an app.

Past use reveals another kind of difference

In SSRS's 2026 survey, 51% of adults ages 18 to 29 and 53% of those ages 30 to 49 had ever tried online dating. Among adults 50 and older, 20% had done so. These are histories of ever trying a service, so they include people who have not opened one for years. The age pattern in the current-use rows is similar in broad direction, but the rates are much smaller. You cannot divide a current rate by a past-use rate and call the result an app retention rate: the survey did not follow the same people from their first use over time.

For LGBTQIA+ adults, 63% reported past use and 14% current use; the corresponding figures for non-LGBTQIA+ adults were 34% and 4%. Again, those are within-group shares. The two identity groups are not equal in population size, so the difference between 63% and 34% cannot tell us the composition of all past users. Nor does the combined LGBTQIA+ category say how each identity within it uses apps. SSRS groups several identities together for the published result. A narrower claim about one identity needs its own sample and measure.

Do not treat identity labels from two surveys as identical

Pew Research Center found in 2022 that 51% of lesbian, gay, and bisexual U.S. adults had ever used a dating site or app. SSRS's 2026 figure of 63% applies to adults identifying as LGBTQIA+, a broader category that includes additional identities. The samples, years, and category definitions differ. The 12-point gap is not a measured increase for one unchanged group. Both surveys can be quoted accurately when their labels and years stay with them. Dropping the letters in a category name changes the people behind the number.

Pew combined lesbian, gay, and bisexual respondents in its online-dating analysis because smaller categories did not support the same breakouts. That methodological choice is a reason to avoid a confident rate for an identity Pew did not separately report. SSRS's broader result likewise does not provide a separate estimate for every identity inside LGBTQIA+. If you need to know how one app serves a specific group, its current profiles and policies may be more relevant than either national aggregate. Use the surveys to understand broad patterns without presenting a combined group as a single uniform experience.

SSRS also asked past users why they had used online dating. Finding an exclusive romantic partner was the most commonly named main reason in both the LGBTQIA+ and non-LGBTQIA+ groups, at 49% and 62%, respectively. Those percentages describe a stated main reason within each group; they are not shares of current relationships or evidence that members of one group want only one kind of connection. The difference belongs to the survey's broad identity categories and wording. It cannot tell what a specific person is seeking, or what mix of intentions exists on a particular app near them.

Platform histories vary within demographic groups

Among 2026 SSRS respondents ages 18 to 29 who had used online dating, 74% had tried Tinder, 49% Bumble, and 44% Hinge. In the 30-to-49 past-user group, Tinder reached 46%, Plenty of Fish 38%, and Facebook Dating 33%. Among past users 50 and older, the leading names were Plenty of Fish at 36%, Match at 33%, and Facebook Dating at 28%. Those are shares of past users within each age group who had tried a named service. They are not a live count of profiles or a measure of who is available in a reader's area.

SSRS also reported different platform histories by identity. Among LGBTQIA+ past users, 52% had used Tinder, 39% Bumble, 31% Grindr, and 30% Hinge. Among non-LGBTQIA+ past users, the most named were Tinder at 45%, Plenty of Fish at 33%, and Facebook Dating at 30%. Respondents could name several services, and some used them at different times. The rows overlap. A higher historical share for one service does not prove that it is a better or safer option for a particular person. It only says that more of the surveyed people in that group had tried it.

What gender and race claims can support here

The SSRS table used on this page gives age and LGBTQIA+ use rates, but it does not give a current gender ratio for each app. Even if a national survey reported that men and women tried online dating at similar rates, that would not reveal the current balance on Tinder, Hinge, or another individual service. Platform mix, local geography, preferences, and account activity all intervene. An app's own audience statistic may also use accounts rather than people and may have a different period. Do not fill the missing gender ratio with a number borrowed from a different denominator.

Pew's 2022 national report says past online-dating use was broadly similar across the racial and ethnic groups it reported. That statement is about ever using any dating site or app among adults, not equal experiences on every platform. Pew also noted that it could not report some user-only results separately for Asian adults because the subgroup was too small for useful precision. Missing subgroup rows are not evidence of no difference. When a demographic claim turns broad use into a verdict about one person's prospects, return to the actual survey group and question. The published data can describe participation without measuring compatibility or availability.

Use the numbers to ask a smaller question

SSRS reports a plus-or-minus 2.5 percentage-point margin of error for its full 2026 sample, not for every smaller age or identity row. Broad gaps such as 14% versus 4% current use can be described with their group labels; tiny differences need greater caution. The table is most useful as a way to see which groups have tried online dating and which were using it during the survey. It is not a directory of current users. An individual app can change, and national figures cannot show what its distance filter would show near you.

If you are deciding which service to try, start with a free look at age and distance settings and check whether profiles in your area match the people you hope to meet. If you are checking a statistic, write a short note: survey, year, group, ever or current use, and all-app or single-app scope. That note prevents most demographic mix-ups. The age-specific page linked from this overview develops the age bands further; the table here keeps age and identity in one view while respecting what each survey actually counted.