Rascasse Audience Intelligence

Boost (C++ libraries) Audience in Germany

A data profile of the people who buy, follow and care about Boost (C++ libraries) in Germany — modelled from more than twelve digital signal sources. Boost (C++ libraries) has an estimated audience of 2,076,054 people in Germany.

The average Boost (C++ libraries) fan in Germany is 43.0 years old, more female, and lives primarily in Nordrhein-Westfalen.

The audience is concentrated in Nordrhein-Westfalen, Bayern, Baden-Württemberg.

Top brand affinities include Kelly Osbourne, Suzi Quatro, Elle Fanning, with strongest over-indexing on Kelly Osbourne (8.12× the country average).

Demographically, the Boost (C++ libraries) audience skews more female with an average age of 43.0, and over-indexes on personality traits such as Need for Security, Travelling.

Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 16 regions tracked by Rascasse.

The typical Boost (C++ libraries) fan in Germany is more female, around 43.0 years old, with strong Need for Security tendencies and a notable affinity for Kelly Osbourne.

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 Germany.

Audience size
2.1M
in Germany
Gender
62.9%
37.1% male
Age
43.0
average years
Country rank
#3230
Topic in Germany
Fig. 01

Search interest · 12-month trend

+10%
vs. last year
JanMarMayJulSepNov
Monthly searches · Source: Rascasse Audience Intelligence
Section 02

Demographics of Boost (C++ libraries) fans

62.9% are female, 37.1% are male, average age 43.0.

Fig. 02

Gender split

62.9%
Female
37.1%
Male
Demographic split for Boost (C++ libraries) audience in Germany
MetricValue
Female62.9%
Male37.1%
Average age43.0
Estimated audience size2,076,054
Fig. 03

Age distribution

Ø 43.0
average years
Age distribution of the Boost (C++ libraries) audience in Germany
Age bracketShare%
16-199%
20-2916%
30-3922%
40-4928%
50+23%
Fig. 04

Worldwide distribution

43.6%

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

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 Germany average. Example: 2.0× means twice as concentrated as the national baseline.

Geography

Where the Boost (C++ libraries) audience in Germany is strongest.

Fig. 05

Top regions by affinity

Boost (C++ libraries) fans by region: top regions in Germany
#RegionReachAffinity×
01Hessen~200K1.47×
02Berlin~100K1.13×
03Saarland~30K1.11×
04Bremen~20K1.06×
05Baden-Württemberg~300K1.03×
06Bayern~300K1.00×
07Sachsen~100K1.00×
08Hamburg~40K0.96×
09Schleswig-Holstein~70K0.95×
10Brandenburg~60K0.95×
11Rheinland-Pfalz~100K0.94×
12Sachsen-Anhalt~50K0.94×
13Thüringen~50K0.92×
14Niedersachsen~200K0.90×
15Nordrhein-Westfalen~400K0.85×
16Mecklenburg-Vorpommern~30K0.85×
Fig. 06

Affinity by region

Affinity by region — Boost (C++ libraries), Germany
0.85×1.00×1.47×
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×
01Kelly OsbourneMusic & Radio8.12×
02Suzi QuatroMusic & Radio8.12×
03Cameron DiazMovies & TV8.12×
04BeckMusic & Radio8.12×
05Robert PattinsonMovies & TV8.12×
06Aegean AirlinesTravel & Leisure8.12×
07Tim AllenMovies & TV8.12×
08Sam NeillMovies & TV8.12×
09Kate BushMusic & Radio8.12×
10Ian SomerhalderMovies & TV8.12×
11Eva MendesMovies & TV8.12×
12Jude LawMovies & TV7.98×
13Elle FanningMovies & TV7.75×
14Katie HolmesMovies & TV7.45×
15Cillian MurphyMovies & TV7.07×
16Mila KunisMovies & TV6.52×
17Bonnie TylerMusic & Radio4.99×
18LeggingsFashion & Accessoires4.00×
19Obi (store)Shopping1.69×
20TagesschauMovies & TV1.54×
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
Need for SecurityCONSERVATISM1.48×
TravellingTHRILL1.20×
Healthy LifestyleBALANCE1.19×
1.00× baseline
Rather not
The weakest tendencies
Top personality traits over-indexed by Boost (C++ libraries) audience · Rather not
TraitClusterDeviationScore
Luxury OrientationPREMIUM0.79×
SustainabilityBALANCE0.82×
Risk AppetiteTHRILL0.86×
1.00× baseline
Section 06

Frequently asked questions

01

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

Boost (C++ libraries) has an estimated audience of 2,076,054 people in Germany, concentrated in Nordrhein-Westfalen and Bayern.

02

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

62.9% of Boost (C++ libraries) fans are female, 37.1% are male, with an average age of 43.0 years.

03

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

Boost (C++ libraries) fans show strongest brand affinity for Kelly Osbourne (8.12×), Suzi Quatro (8.12×), and Elle Fanning (7.75×) over the country average.

04

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

Boost (C++ libraries) fans in Germany are most concentrated in Nordrhein-Westfalen (reach ~400K), Bayern (reach ~300K), and Baden-Württemberg (reach ~300K). 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 Suzi Quatro (8.12×), Elle Fanning (7.75×), Bonnie Tyler (4.99×), and Cameron Diaz (8.12×) compared to the Germany average.

Appendix

Explore more audiences

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

How to read this data

Audience size is the estimated number of people in Germany 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 Germany. 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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