Open-source software Audience in United States

Open-source software has an estimated audience of 3,438,215 people in United States. 45.8% are female, 54.2% are male, average age 39.3. Top regions: Texas, California, New York. Top brand affinities: Node.js, GitHub, Yahoo!奇摩名人娛樂, Gemini, Video games.
The average Open-source software fan in United States is 39.3 years old, balanced, and lives primarily in Texas. The audience is concentrated in Texas, California, New York. Top brand affinities include Node.js, GitHub, Yahoo!奇摩名人娛樂, with strongest over-indexing on Node.js (11.3× the country average). Demographically, the Open-source software audience skews balanced with an average age of 39.3, and over-indexes on personality traits such as Need for Security, Early Adopter Mentality. Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
Category: Technology & Electronics · Type: Topic
Demographics of Open-source software fans
| Metric | Value |
|---|---|
| Female | 45.8% |
| Male | 54.2% |
| Average age | 39.3 |
| Estimated audience size | 3,438,215 |
Audience persona
The typical Open-source software fan in United States is balanced, around 39.3 years old, with strong Need for Security tendencies and a notable affinity for Node.js.
Top regions in United States
| Region | Reach | Affinity |
|---|---|---|
| Texas | 432,046 | 1.46× |
| California | 430,567 | 1.14× |
| New York | 218,620 | 1.14× |
| Florida | 217,270 | 0.93× |
| Illinois | 121,763 | 1.06× |
| Pennsylvania | 113,652 | 0.98× |
| North Carolina | 112,654 | 1.09× |
| Georgia | 108,747 | 1.03× |
| Virginia | 100,002 | 1.19× |
| Ohio | 94,666 | 0.89× |
| Massachusetts | 88,154 | 1.3× |
| New Jersey | 82,943 | 0.95× |
| Michigan | 82,272 | 0.92× |
| Maryland | 79,963 | 1.35× |
| Washington | 76,635 | 1.11× |
| Tennessee | 73,803 | 1.07× |
| Arizona | 64,002 | 0.91× |
| Indiana | 59,495 | 0.95× |
| Arkansas | 57,327 | 2.02× |
| Colorado | 56,355 | 1.04× |
| Missouri | 52,381 | 0.95× |
| Alabama | 51,059 | 1.06× |
| South Carolina | 50,515 | 0.98× |
| Minnesota | 43,426 | 0.88× |
| Oregon | 40,688 | 1.03× |
| Louisiana | 40,351 | 0.91× |
| Oklahoma | 38,813 | 1.02× |
| Wisconsin | 38,685 | 0.75× |
| Utah | 34,010 | 1.1× |
| Kentucky | 33,347 | 0.77× |
| Connecticut | 30,183 | 0.88× |
| Nevada | 23,885 | 0.72× |
| Kansas | 23,792 | 0.88× |
| Mississippi | 21,982 | 0.78× |
| Iowa | 21,046 | 0.74× |
| Nebraska | 17,948 | 1.04× |
| Washington, District of Columbia | 16,263 | 1.57× |
| New Mexico | 14,096 | 0.82× |
| Idaho | 14,055 | 0.82× |
| Hawaii | 13,943 | 0.94× |
| West Virginia | 13,464 | 0.84× |
| New Hampshire | 12,059 | 0.89× |
| Rhode Island | 11,178 | 1.02× |
| Maine | 8,844 | 0.72× |
| Montana | 7,130 | 0.75× |
| Delaware | 7,091 | 0.75× |
| Alaska | 7,010 | 0.95× |
| Vermont | 6,872 | 1.14× |
| South Dakota | 6,535 | 0.82× |
| North Dakota | 5,873 | 0.83× |
Top brand affinities
Brands and entities this audience over-indexes on, vs. the country average.
| Brand | Affinity | Category |
|---|---|---|
| Node.js | 11.3× | Technology & Electronics |
| GitHub | 9.53× | Internet & Social Media |
| Yahoo!奇摩名人娛樂 | 3.45× | Internet & Social Media |
| Gemini | 3.71× | Technology & Electronics |
| Video games | 1.9× | Games |
| Movies | 1.51× | Movies & TV |
| Google Drive | 2.55× | Technology & Electronics |
| Gmail | 2.51× | Internet & Social Media |
| Google Docs | 2.51× | Internet & Social Media |
| LabCorp | 3.47× | Health |
| Education | 1.69× | Business & Career |
| Chat GPT | 2.97× | Technology & Electronics |
| Concurrent Versions System | 2.1× | Technology & Electronics |
| Money | 1.59× | Business & Career |
| Database | 2.33× | Technology & Electronics |
| Texas | 1.7× | Travel & Leisure |
| 1.61× | Internet & Social Media | |
| Take-out | 2.03× | Food & Beverages |
| 1.63× | Technology & Electronics | |
| Google Flights | 2.33× | Travel & Leisure |
Psychographic profile
Top six personality traits over-indexed by this audience (1.0 = country average).
| Trait | Cluster | Score |
|---|---|---|
| Need for Security | CONSERVATISM | 1.99 |
| Early Adopter Mentality | POWER | 1.71 |
| Career Orientation | POWER | 1.51 |
| Risk Appetite | THRILL | 1.23 |
| Urban Lifestyle | OPEN | 1.2 |
| Family Orientation | CONSERVATISM | 1.19 |
Worldwide distribution
| Country | Share |
|---|---|
| United States | 15.9% |
| Taiwan | 5.1% |
| Japan | 5.0% |
See Open-source software audiences in other countries
More Technology & Electronics audiences in United States
- Food and drink (182,612,063)
- Music (181,108,961)
- Shopping and fashion (177,150,005)
- Sports and outdoors (173,827,889)
- Sports (173,190,295)
Frequently asked questions
How many fans does Open-source software have in United States?
Open-source software has an estimated audience of 3,438,215 people in United States, concentrated in Texas and California.
What is the gender split and age of Open-source software fans?
45.8% of Open-source software fans are female, 54.2% are male, with an average age of 39.3 years.
Which brands do Open-source software fans like most?
Open-source software fans show strongest brand affinity for Node.js (11.3×), GitHub (9.53×), and Yahoo!奇摩名人娛樂 (3.45×) over the country average.
Where do Open-source software fans live in United States?
Open-source software fans in United States are most concentrated in Texas (reach 432,046), California (reach 430,567), and New York (reach 218,620). These three regions account for the largest share of the active audience.
What other brands do Open-source software fans also like?
Beyond Open-source software itself, the audience over-indexes on GitHub (9.53×), Yahoo!奇摩名人娛樂 (3.45×), Gemini (3.71×), and Video games (1.9×) compared to the United States average.
How to read this data
Audience size is the estimated number of people in United States who actively search for Open-source software. Affinity is an over-index ratio: 2.0× means the audience is twice as likely to engage with that brand or trait as the country average. Reach is the estimated number of audience members in a region. Regional and brand-affinity tables are sorted from strongest signal to weakest.
About this audience profile
This audience profile is generated by Rascasse from anonymized search-behavior signals across United States. For methodology see methodology. Affinity values are over-index ratios vs. the country average (1.0 = baseline). Audience sizes are estimated, not measured.