A data profile of the people who buy, follow and care about MongoDB in United States — modelled from more than twelve digital signal sources. MongoDB has an estimated audience of 686,008 people in United States.
The average MongoDB fan in United States is 39.7 years old, more male, and lives primarily in California.
The audience is concentrated in California, Texas, New York.
Top brand affinities include Groovy (programming language), Docker (software), Ruby (programming language), with strongest over-indexing on Groovy (programming language) (35.65× the country average).
Demographically, the MongoDB audience skews more male with an average age of 39.7, and over-indexes on personality traits such as Need for Security, Career Orientation.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical MongoDB fan in United States is more male, around 39.7 years old, with strong Need for Security tendencies and a notable affinity for Groovy (programming language).
The key figures that characterise the MongoDB profile in United States.
43.3% are female, 56.7% are male, average age 39.7.
| Metric | Value |
|---|---|
| Female | 43.3% |
| Male | 56.7% |
| Average age | 39.7 |
| Estimated audience size | 686,008 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 19% | |
| 20-29 | 19% | |
| 30-39 | 20% | |
| 40-49 | 21% | |
| 50+ | 21% |
of the worldwide MongoDB audience comes from United States.
| Country | Share |
|---|---|
| India | 16.2% |
| China | 15.8% |
| United States | 10.3% |
Where the MongoDB audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | New York | ~90K | 2.29× | |
| 02 | Massachusetts | ~30K | 1.89× | |
| 03 | Washington, District of Columbia | ~4K | 1.83× | |
| 04 | California | ~100K | 1.76× | |
| 05 | New Jersey | ~30K | 1.73× | |
| 06 | Washington | ~20K | 1.69× | |
| 07 | Virginia | ~30K | 1.61× | |
| 08 | Texas | ~100K | 1.57× | |
| 09 | Utah | ~8K | 1.29× | |
| 10 | Maryland | ~20K | 1.25× | |
| 11 | Illinois | ~30K | 1.23× | |
| 12 | Colorado | ~10K | 1.20× | |
| 13 | Indiana | ~20K | 1.19× | |
| 14 | Connecticut | ~9K | 1.19× | |
| 15 | Georgia | ~30K | 1.17× | |
| 16 | Oregon | ~9K | 1.10× | |
| 17 | New Hampshire | ~3K | 1.10× | |
| 18 | North Carolina | ~20K | 1.03× | |
| 19 | Rhode Island | ~2K | 1.01× | |
| 20 | Florida | ~50K | 0.99× | |
| 21 | Pennsylvania | ~20K | 0.98× | |
| 22 | Arizona | ~10K | 0.93× | |
| 23 | Missouri | ~10K | 0.89× | |
| 24 | Minnesota | ~9K | 0.89× | |
| 25 | Delaware | ~2K | 0.89× | |
| 26 | Nevada | ~6K | 0.87× | |
| 27 | Idaho | ~3K | 0.87× | |
| 28 | Michigan | ~20K | 0.86× | |
| 29 | Kansas | ~5K | 0.86× | |
| 30 | Vermont | ~1K | 0.86× | |
| 31 | Ohio | ~20K | 0.84× | |
| 32 | Iowa | ~5K | 0.84× | |
| 33 | Maine | ~2K | 0.84× | |
| 34 | Hawaii | ~3K | 0.83× | |
| 35 | South Dakota | ~1K | 0.81× | |
| 36 | Wisconsin | ~8K | 0.78× | |
| 37 | Nebraska | ~3K | 0.78× | |
| 38 | Tennessee | ~10K | 0.75× | |
| 39 | Montana | ~1K | 0.75× | |
| 40 | Alaska | ~1K | 0.75× | |
| 41 | Arkansas | ~4K | 0.72× | |
| 42 | Oklahoma | ~6K | 0.71× | |
| 43 | North Dakota | ~1K | 0.69× | |
| 44 | South Carolina | ~7K | 0.67× | |
| 45 | Alabama | ~7K | 0.66× | |
| 46 | New Mexico | ~2K | 0.65× | |
| 47 | West Virginia | ~2K | 0.65× | |
| 48 | Kentucky | ~6K | 0.64× | |
| 49 | Louisiana | ~5K | 0.59× | |
| 50 | Mississippi | ~3K | 0.55× |
The strongest cross-interests of the MongoDB audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Apache Hive | Technology & Electronics | 203.49× | ||
| 02 | Apache HBase | Technology & Electronics | 191.31× | ||
| 03 | PostgreSQL | Technology & Electronics | 185.00× | ||
| 04 | NoSQL | Technology & Electronics | 120.12× | ||
| 05 | Bootstrap (front-end framework) | Internet & Social Media | 117.55× | ||
| 06 | Fujitsu | Technology & Electronics | 104.07× | ||
| 07 | Fortinet | Technology & Electronics | 99.40× | ||
| 08 | Docker (software) | Technology & Electronics | 98.35× | ||
| 09 | Rackspace | Technology & Electronics | 87.79× | ||
| 10 | Eclipse (software) | Technology & Electronics | 83.02× | ||
| 11 | Kubernetes | Technology & Electronics | 73.26× | ||
| 12 | JIRA | Technology & Electronics | 71.21× | ||
| 13 | Ruby (programming language) | Technology & Electronics | 53.06× | ||
| 14 | Software framework | Technology & Electronics | 47.02× | ||
| 15 | Groovy (programming language) | Technology & Electronics | 35.65× | ||
| 16 | Stack Overflow | Technology & Electronics | 34.60× | ||
| 17 | C Sharp (programming language) | Technology & Electronics | 34.46× | ||
| 18 | Open-source software | Technology & Electronics | 29.20× | ||
| 19 | Oracle Corporation | Technology & Electronics | 26.14× | ||
| 20 | Gemini | Technology & Electronics | 8.72× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Need for Security | CONSERVATISM | 2.91× | |
| Career Orientation | POWER | 2.28× | |
| Early Adopter Mentality | POWER | 1.99× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Pet Ownership | JOY | 0.90× | |
| Design Affinity | PREMIUM | 0.97× | |
| Creativity | OPEN | 0.99× |
MongoDB's target market in United States covers an estimated 686,008 people, concentrated in California and Texas.
43.3% of the MongoDB audience are female, 56.7% are male, with an average age of 39.7 years.
MongoDB fans show strongest brand affinity for Groovy (programming language) (35.65×), Docker (software) (98.35×), and Ruby (programming language) (53.06×) over the country average.
MongoDB fans in United States are most concentrated in California (reach ~100K), Texas (reach ~100K), and New York (reach ~90K). These three regions account for the largest share of the active audience.
Beyond MongoDB itself, the audience over-indexes on Docker (software) (98.35×), Ruby (programming language) (53.06×), PostgreSQL (185×), and Eclipse (software) (83.02×) compared to the United States average.
Related profiles, rankings and the same audience in other markets.
Audience size is the estimated number of people in United States who actively search for MongoDB. 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.
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.
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