Rascasse Audience Intelligence

Programming language Audience in Brazil

A data profile of the people who buy, follow and care about Programming language in Brazil — modelled from more than twelve digital signal sources. Programming language has an estimated audience of 6,281,437 people in Brazil.

Programming language has an estimated audience of 6,281,437 people in Brazil. 52.0% are female, 48.0% are male, average age 37.5. Top brand affinities: GitHub, JavaScript, C++, MySQL, Firefox.

Top brand affinities include GitHub, JavaScript, C++, with strongest over-indexing on GitHub (10.68× the country average).

Demographically, the Programming language audience skews balanced with an average age of 37.5, and over-indexes on personality traits such as Individualism, Career Orientation.

The typical Programming language fan in Brazil is balanced, around 37.5 years old, with strong Individualism tendencies and a notable affinity for GitHub.

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 Programming language profile in Brazil.

Audience size
6.3M
in Brazil
Gender
52.0%
48.0% male
Age
37.5
average years
Country rank
#1023
Topic in Brazil
Fig. 01

Search interest · 12-month trend

-26%
vs. last year
JanMarMayJulSepNov
Monthly searches · Source: Rascasse Audience Intelligence
Section 02

Demographics of Programming language fans

52.0% are female, 48.0% are male, average age 37.5.

Fig. 02

Gender split

52.0%
Female
48.0%
Male
Demographic split for Programming language audience in Brazil
MetricValue
Female52.0%
Male48.0%
Average age37.5
Estimated audience size6,281,437
Fig. 03

Age distribution

Ø 37.5
average years
Age distribution of the Programming language audience in Brazil
Age bracketShare%
16-1922%
20-2923%
30-3920%
40-4918%
50+17%
Fig. 04

Worldwide distribution

4.3%

of the worldwide Programming language audience comes from Brazil.

Worldwide audience distribution share by country for Programming language
CountryShare
United States15.7%
China6.5%
Brazil4.3%
Section 04
Brands and entities this audience over-indexes on, vs. the country average.

Audience interests & affinities

The strongest cross-interests of the 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 Programming language audience
#·InterestCategoryAffinity×
01GitHubInternet & Social Media10.68×
02AngularJSTechnology & Electronics10.19×
03CodecademyInternet & Social Media9.88×
04Stack OverflowTechnology & Electronics9.66×
05JavaScriptTechnology & Electronics9.47×
06MySQLTechnology & Electronics9.28×
07C++Technology & Electronics8.98×
08FirefoxInternet & Social Media7.28×
09Ubuntu (operating system)Technology & Electronics6.44×
10TrelloInternet & Social Media2.85×
11Khan AcademyBusiness & Career2.84×
12UdemyBusiness & Career2.56×
13LinuxTechnology & Electronics2.16×
14JusBrasilInternet & Social Media1.76×
15TelegramInternet & Social Media1.70×
16CanadaTravel & Leisure1.66×
17SamsungTechnology & Electronics1.62×
18EnelHome & Garden1.57×
19SpotifyInternet & Social Media1.52×
20CollegeBusiness & Career1.52×
Section 05
Top six personality traits over-indexed by this audience (1.0 = country average).

Personality of the 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 Programming language audience · What stands out
TraitClusterDeviationScore
IndividualismJOY1.20×
Career OrientationPOWER1.18×
Early Adopter MentalityPOWER1.14×
1.00× baseline
Rather not
The weakest tendencies
Top personality traits over-indexed by Programming language audience · Rather not
TraitClusterDeviationScore
ExtroversionTHRILL0.71×
Quality AwarenessPREMIUM0.80×
MindfulnessBALANCE0.83×
1.00× baseline
Appendix

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How to read this data

Audience size is the estimated number of people in Brazil who actively search for 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 Brazil. 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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