Rascasse Audience Intelligence

Boost (C++ libraries) Audience in United States

A data profile of the people who buy, follow and care about Boost (C++ libraries) in United States — modelled from more than twelve digital signal sources. Boost (C++ libraries) has an estimated audience of 438,313 people in United States.

#11929among Topic in United States#1061in Technology & Electronics

The average Boost (C++ libraries) fan in United States is 40.0 years old, more female, and lives primarily in Texas.

The audience is concentrated in Texas, Florida, California.

Top brand affinities include Bored Panda, Mortgage loans, GameStop, with strongest over-indexing on Bored Panda (18.13× the country average).

Demographically, the Boost (C++ libraries) audience skews more female with an average age of 40.0, and over-indexes on personality traits such as Convenience Orientation, Need for Security.

Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.

The typical Boost (C++ libraries) fan in United States is more female, around 40.0 years old, with strong Convenience Orientation tendencies and a notable affinity for Bored Panda.

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 Boost (C++ libraries) profile in United States.

Audience size
438K
in United States
Gender
63.6%♀
36.4% male
Age
40.0
average years
Country rank
#39536
Topic in United States
Fig. 01

Search interest · 12-month trend

+3%
vs. last year
JanMarMayJulSepNov
Monthly searches · Source: Rascasse Audience Intelligence
Section 02

Demographics of Boost (C++ libraries) fans

63.6% are female, 36.4% are male, average age 40.0.

Fig. 02

Gender split

63.6%
Female
36.4%
Male
Demographic split for Boost (C++ libraries) audience in United States
MetricValue
Female63.6%
Male36.4%
Average age40.0
Estimated audience size438,313
Fig. 03

Age distribution

Ø 40.0
average years
Age distribution of the Boost (C++ libraries) audience in United States
Age bracketShare%
16-1913%
20-2921%
30-3926%
40-4923%
50+17%
Fig. 04

Worldwide distribution

9.2%

of the worldwide Boost (C++ libraries) audience comes from United States.

Worldwide audience distribution share by country for Boost (C++ libraries)
CountryShare
Germany43.6%
United States9.2%
Japan8.4%
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 Boost (C++ libraries) audience in United States is strongest.

Fig. 05

Top regions by affinity

Boost (C++ libraries) fans by region: top regions in United States
#RegionReachAffinity×
01Ohio~30K1.95×
02Michigan~20K1.85×
03Indiana~10K1.77×
04Louisiana~10K1.68×
05West Virginia~3K1.60×
06Illinois~20K1.51×
07Missouri~9K1.34×
08Maryland~10K1.32×
09Texas~50K1.29×
10Florida~40K1.28×
11North Carolina~20K1.25×
12Nebraska~3K1.22×
13Georgia~20K1.20×
14Kentucky~6K1.17×
15Pennsylvania~20K1.14×
16Tennessee~10K1.14×
17Connecticut~5K1.07×
18Colorado~7K1.03×
19Virginia~10K1.01×
20Arizona~9K1.00×
21Wisconsin~7K1.00×
22Alabama~6K1.00×
23Kansas~3K1.00×
24Iowa~4K0.98×
25Oklahoma~5K0.96×
26Delaware~1K0.94×
27Rhode Island~1K0.93×
28Mississippi~3K0.92×
29New Mexico~2K0.91×
30Massachusetts~8K0.90×
31South Carolina~6K0.90×
32New York~20K0.89×
33Nevada~4K0.89×
34New Jersey~10K0.88×
35Oregon~4K0.86×
36Arkansas~3K0.86×
37Alaska<1K0.86×
38Washington, District of Columbia~1K0.82×
39California~40K0.77×
40Minnesota~5K0.76×
41Idaho~2K0.75×
42Washington~6K0.73×
43Utah~3K0.73×
44Hawaii~1K0.67×
45North Dakota<1K0.67×
46South Dakota<1K0.62×
47New Hampshire~1K0.61×
48Vermont<1K0.58×
49Maine<1K0.56×
50Montana<1K0.52×
Fig. 06

Affinity by region

Affinity by region — Boost (C++ libraries), United States
0.52×1.00×1.95×
Section 04
Brands and entities this audience over-indexes on, vs. the country average.

Audience interests & affinities

The strongest cross-interests of the Boost (C++ libraries) audience — brands, topics and people combined.

Fig. 07

Top cross-interests, ranked by affinity

Top brand affinities (over-index vs. country average) for Boost (C++ libraries) audience
#·InterestCategoryAffinity×
01Bored PandaInternet & Social Media18.13×
02Holiday Inn ExpressTravel & Leisure9.13×
03DellTechnology & Electronics6.94×
04Holiday InnTravel & Leisure6.68×
05Privacy policyTechnology & Electronics5.60×
06Online bankingBusiness & Career4.30×
07GameStopGames3.99×
08Home automationTechnology & Electronics3.77×
09Vehicle insuranceCars & Mobility3.76×
10FedExBusiness & Career3.56×
11Weather forecastingHome & Garden3.53×
12Renewable energyBusiness & Career3.47×
13Mortgage loansBusiness & Career3.45×
14Sustainable energyHome & Garden3.45×
15Solar energyHome & Garden3.35×
16McDonald'sFood & Beverages2.20×
17Domino's PizzaFood & Beverages2.17×
18Pizza HutFood & Beverages1.96×
19PinterestInternet & Social Media1.79×
20FurnitureHome & Garden1.58×
Section 05
Top six personality traits over-indexed by this audience (1.0 = country average).

Personality of the Boost (C++ libraries) 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 Boost (C++ libraries) audience · What stands out
TraitClusterDeviationScore
Convenience OrientationPREMIUM1.92×
Need for SecurityCONSERVATISM1.82×
Career OrientationPOWER1.74×
0×1.00× baseline2×
↓ Rather not
The weakest tendencies
Top personality traits over-indexed by Boost (C++ libraries) audience · Rather not
TraitClusterDeviationScore
Healthy LifestyleBALANCE0.73×
CreativityOPEN0.79×
Design AffinityPREMIUM0.85×
0×1.00× baseline2×
Section 06

Frequently asked questions

01

How many fans does Boost (C++ libraries) have in United States?

Boost (C++ libraries) has an estimated audience of 438,313 people in United States, concentrated in Texas and Florida.

02

What is the gender split and age of Boost (C++ libraries) fans?

63.6% of Boost (C++ libraries) fans are female, 36.4% are male, with an average age of 40.0 years.

03

Which brands do Boost (C++ libraries) fans like most?

Boost (C++ libraries) fans show strongest brand affinity for Bored Panda (18.13×), Mortgage loans (3.45×), and GameStop (3.99×) over the country average.

04

Where do Boost (C++ libraries) fans live in United States?

Boost (C++ libraries) fans in United States are most concentrated in Texas (reach ~50K), Florida (reach ~40K), and California (reach ~40K). These three regions account for the largest share of the active audience.

05

What other brands do Boost (C++ libraries) fans also like?

Beyond Boost (C++ libraries) itself, the audience over-indexes on Mortgage loans (3.45×), GameStop (3.99×), Vehicle insurance (3.76×), and FedEx (3.56×) 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 Boost (C++ libraries) audiences in other countries

How to read this data

Audience size is the estimated number of people in United States who actively search for Boost (C++ libraries). 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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