Rascasse Audience Intelligence

Swift (programming language) Audience in United States

A data profile of the people who buy, follow and care about Swift (programming language) in United States — modelled from more than twelve digital signal sources. Swift (programming language) has an estimated audience of 945,464 people in United States.

#8853among Topic in United States#755in Technology & Electronics

The average Swift (programming language) fan in United States is 38.7 years old, more male, and lives primarily in Texas.

The audience is concentrated in Texas, California, Florida.

Top brand affinities include Heroku, Web server, Massive open online course, with strongest over-indexing on Heroku (167.12× the country average).

Demographically, the Swift (programming language) audience skews more male with an average age of 38.7, 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 Swift (programming language) fan in United States is more male, around 38.7 years old, with strong Need for Security tendencies and a notable affinity for Heroku.

Category: Technology & Electronics · Type: Topic

The data on this page comes from the Rascasse audience panel and is refreshed monthly from search, social and browsing signals. As of 2026-08-10.

Section 01

At a glance

The key figures that characterise the Swift (programming language) profile in United States.

Audience size
945K
in United States
Gender
40.7%♀
59.3% male
Age
38.7
average years
Country rank
#24563
Topic in United States
Fig. 01

Search interest · 12-month trend

-4%
vs. last year
JanMarMayJulSepNov
Monthly searches · Source: Rascasse Audience Intelligence
Section 02

Demographics of Swift (programming language) fans

40.7% are female, 59.3% are male, average age 38.7.

Fig. 02

Gender split

40.7%
Female
59.3%
Male
Demographic split for Swift (programming language) audience in United States
MetricValue
Female40.7%
Male59.3%
Average age38.7
Estimated audience size945,464
Fig. 03

Age distribution

Ø 38.7
average years
Age distribution of the Swift (programming language) audience in United States
Age bracketShare%
16-1919%
20-2923%
30-3920%
40-4917%
50+21%
Fig. 04

Worldwide distribution

19.9%

of the worldwide Swift (programming language) audience comes from United States.

Worldwide audience distribution share by country for Swift (programming language)
CountryShare
United States19.9%
India7.1%
Brazil6.0%
Section 03
Affinity (×) = how much more likely a member of this audience is to live in a region than the United States average. Example: 2.0× means twice as concentrated as the national baseline.

Geography

Where the Swift (programming language) audience in United States is strongest.

Fig. 05

Top regions by affinity

Swift (programming language) fans by region: top regions in United States
#RegionReachAffinity×
01Texas~200K1.91×
02Louisiana~20K1.64×
03Nevada~10K1.58×
04Arizona~30K1.42×
05California~100K1.32×
06Alabama~20K1.28×
07Washington, District of Columbia~4K1.26×
08Oregon~10K1.25×
09Alaska~3K1.25×
10New York~70K1.24×
11Kansas~9K1.18×
12Virginia~30K1.14×
13Washington~20K1.12×
14Missouri~20K1.10×
15Colorado~20K1.07×
16Connecticut~10K1.07×
17Wyoming~1K1.06×
18Florida~70K1.03×
19Illinois~30K1.02×
20Utah~9K1.01×
21Georgia~30K0.99×
22Massachusetts~20K0.99×
23New Jersey~20K0.98×
24Maryland~20K0.98×
25Minnesota~10K0.97×
26Pennsylvania~30K0.96×
27South Dakota~2K0.95×
28Nebraska~4K0.94×
29Mississippi~7K0.93×
30Tennessee~20K0.92×
31Oklahoma~10K0.92×
32South Carolina~10K0.90×
33Kentucky~10K0.90×
34Arkansas~7K0.90×
35North Carolina~30K0.89×
36Indiana~20K0.89×
37Rhode Island~3K0.88×
38Idaho~4K0.87×
39Iowa~7K0.86×
40Michigan~20K0.85×
41New Mexico~4K0.85×
42Delaware~2K0.85×
43Montana~2K0.83×
44Ohio~20K0.82×
45New Hampshire~3K0.82×
46Wisconsin~10K0.81×
47Hawaii~3K0.78×
48West Virginia~3K0.77×
49North Dakota~1K0.77×
50Maine~3K0.75×
Fig. 06

Affinity by region

Affinity by region — Swift (programming language), United States
0.75×1.00×1.91×
Section 04
Brands and entities this audience over-indexes on, vs. the country average.

Audience interests & affinities

The strongest cross-interests of the Swift (programming language) audience — brands, topics and people combined.

Fig. 07

Top cross-interests, ranked by affinity

Top brand affinities (over-index vs. country average) for Swift (programming language) audience
#·InterestCategoryAffinity×
01HerokuTechnology & Electronics167.12×
02ElasticsearchTechnology & Electronics102.93×
03Doodle JumpGames57.82×
04Massive open online courseBusiness & Career26.26×
05Web serverTechnology & Electronics25.04×
06Internet securityTechnology & Electronics18.64×
07Data visualizationTechnology & Electronics15.02×
08RÜFÜSMusic & Radio14.45×
09Debbie HarryMusic & Radio12.70×
10Business intelligenceBusiness & Career10.90×
11Amazon Web ServicesTechnology & Electronics10.49×
12Information securityBusiness & Career7.78×
13MonstersMovies & TV6.13×
14Sustainable energyHome & Garden5.37×
15Computer securityBusiness & Career5.06×
16InnovationBusiness & Career3.46×
17Internet celebrityInternet & Social Media3.39×
18Cloud computingTechnology & Electronics3.21×
19MSNNews2.19×
20RedditInternet & Social Media2.17×
Section 05
Top six personality traits over-indexed by this audience (1.0 = country average).

Personality of the Swift (programming language) audience

Values above 1.00× are above the country average, values below 1.00× below it.

Fig. 08

Deviation from the national baseline

↑ What stands out
The strongest tendencies
Top personality traits over-indexed by Swift (programming language) audience · What stands out
TraitClusterDeviationScore
Need for SecurityCONSERVATISM5.99×
Career OrientationPOWER1.68×
SustainabilityBALANCE1.58×
0×1.00× baseline2×
↓ Rather not
The weakest tendencies
Top personality traits over-indexed by Swift (programming language) audience · Rather not
TraitClusterDeviationScore
CreativityOPEN0.71×
Luxury OrientationPREMIUM0.75×
Pet OwnershipJOY0.76×
0×1.00× baseline2×
Section 06

Frequently asked questions

01

How many fans does Swift (programming language) have in United States?

Swift (programming language) has an estimated audience of 945,464 people in United States, concentrated in Texas and California.

02

What is the gender split and age of Swift (programming language) fans?

40.7% of Swift (programming language) fans are female, 59.3% are male, with an average age of 38.7 years.

03

Which brands do Swift (programming language) fans like most?

Swift (programming language) fans show strongest brand affinity for Heroku (167.12×), Web server (25.04×), and Massive open online course (26.26×) over the country average.

04

Where do Swift (programming language) fans live in United States?

Swift (programming language) fans in United States are most concentrated in Texas (reach ~200K), California (reach ~100K), and Florida (reach ~70K). These three regions account for the largest share of the active audience.

05

What other brands do Swift (programming language) fans also like?

Beyond Swift (programming language) itself, the audience over-indexes on Web server (25.04×), Massive open online course (26.26×), Elasticsearch (102.93×), and RÜFÜS (14.45×) compared to the United States average.

Appendix

Explore more audiences

Related profiles, rankings and the same audience in other markets.

More Technology & Electronics audiences in United States

See Swift (programming language) audiences in other countries

How to read this data

Audience size is the estimated number of people in United States who actively search for Swift (programming language). 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.

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