U.S. NFT motivation, by age and gender

There were different reasons as to why U.S. people would invest in NFTs, although return on investment was often mentioned across both genders and all ages. Noticeable, however, is that this particular argument gets more prevalent as the respondents to a March 2021 online survey get older: For instance, return on investment was mentioned by around half of the male respondents ages 55 to 65, as opposed to 25 percent of male respondents ages 35 to 44. Indeed, men between 35 to 54 answered they bought NFTs as they were fans of crypto art - including the likes of Bored Ape Yacht Club and CryptoPunks, which made up the majority of the biggest NFT sales in 2021. Women were mostly interested in NFT due to their popularity.

Reasons why consumers would buy NFT in the United States in March 2021, by age and gender

Survey answers	Total	Male	Of which: 18-34 years old, male	Of which: 35-44 years old, male	Of which: 45-54 years old, male	Of which: 55-64 years old, male	Of which: 65 years and older, male	Female	Of which: 18-34 years old, female	Of which: 35-44 years old, female	Of which: 45-54 years old, female	Of which: 55-64 years old, female	Of which: 65 years and older, female
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Release date

April 2021

More information

Region

United States

Survey time period

March 31, 2021

Number of respondents

173; 112 male, 60 female

Age group

18 years and older

Special properties

U.S. adults

Method of interview

Online survey

Supplementary notes

This question was phrased by the source as follows: "Which of the following are reasons why you would consider buying an NFT? Please select all that apply."

The source adds that the figures provided are "not based on a probability sample and therefore no estimate of theoretical sampling error can be calculated. Figures for age, sex, race/ethnicity, education, region and household income were weighted where necessary to bring them into line with their actual proportions in the population." That said, the source does not explain the difference between the total number of respondents compared to the weighted number of male and female respondents.

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