Rascasse Audience Intelligence

Machine translation Audience in United States

A data profile of the people who buy, follow and care about Machine translation in United States — modelled from more than twelve digital signal sources. Machine translation has an estimated audience of 268,149 people in United States.

#13932among Topic in United States

The average Machine translation fan in United States is 33.7 years old, more female, and lives primarily in California.

The audience is concentrated in California, Texas, New York.

Top brand affinities include Translation, Helmut Newton, Language education, with strongest over-indexing on Translation (58.25× the country average).

Demographically, the Machine translation audience skews more female with an average age of 33.7, and over-indexes on personality traits such as Quality Awareness, Career Orientation.

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

The typical Machine translation fan in United States is more female, around 33.7 years old, with strong Quality Awareness tendencies and a notable affinity for Translation.

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 Machine translation profile in United States.

Audience size
268K
in United States
Gender
65.0%♀
35.0% male
Age
33.7
average years
Country rank
#51136
Topic in United States
Fig. 01

Search interest · 12-month trend

-32%
vs. last year
JanMarMayJulSepNov
Monthly searches · Source: Rascasse Audience Intelligence
Section 02

Demographics of Machine translation fans

65.0% are female, 35.0% are male, average age 33.7.

Fig. 02

Gender split

65.0%
Female
35.0%
Male
Demographic split for Machine translation audience in United States
MetricValue
Female65.0%
Male35.0%
Average age33.7
Estimated audience size268,149
Fig. 03

Age distribution

Ø 33.7
average years
Age distribution of the Machine translation audience in United States
Age bracketShare%
16-1939%
20-2917%
30-3915%
40-4917%
50+12%
Fig. 04

Worldwide distribution

11.2%

of the worldwide Machine translation audience comes from United States.

Worldwide audience distribution share by country for Machine translation
CountryShare
Brazil30.0%
United States11.2%
Japan9.8%
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 Machine translation audience in United States is strongest.

Fig. 05

Top regions by affinity

Machine translation fans by region: top regions in United States
#RegionReachAffinity×
01Washington, District of Columbia~1K1.35×
02Vermont<1K1.27×
03Alaska<1K1.24×
04South Dakota<1K1.17×
05North Dakota<1K1.17×
06California~30K1.14×
07New York~20K1.13×
08Virginia~7K1.11×
09Montana<1K1.11×
10Massachusetts~6K1.08×
11West Virginia~1K1.08×
12Rhode Island<1K1.08×
13Maryland~5K1.07×
14Delaware<1K1.06×
15Oregon~3K1.05×
16Hawaii~1K1.04×
17New Hampshire~1K1.03×
18Maine<1K1.03×
19Washington~5K1.02×
20Idaho~1K0.99×
21New Mexico~1K0.99×
22Nebraska~1K0.98×
23Mississippi~2K0.97×
24Arkansas~2K0.95×
25Kansas~2K0.94×
26New Jersey~6K0.93×
27Iowa~2K0.92×
28Oklahoma~3K0.91×
29Nevada~2K0.91×
30Utah~2K0.91×
31Louisiana~3K0.90×
32Kentucky~3K0.90×
33Connecticut~2K0.90×
34Illinois~8K0.89×
35Indiana~4K0.88×
36Colorado~4K0.88×
37Alabama~3K0.88×
38Pennsylvania~8K0.87×
39Missouri~4K0.87×
40South Carolina~3K0.87×
41Minnesota~3K0.86×
42Arizona~5K0.85×
43Wisconsin~3K0.85×
44Georgia~7K0.84×
45Tennessee~5K0.84×
46North Carolina~6K0.80×
47Michigan~6K0.80×
48Florida~10K0.79×
49Ohio~7K0.79×
50Texas~20K0.77×
Fig. 06

Affinity by region

Affinity by region — Machine translation, United States
0.77×1.00×1.35×
Section 04
Brands and entities this audience over-indexes on, vs. the country average.

Audience interests & affinities

The strongest cross-interests of the Machine translation audience — brands, topics and people combined.

Fig. 07

Top cross-interests, ranked by affinity

Top brand affinities (over-index vs. country average) for Machine translation audience
#·InterestCategoryAffinity×
01Helmut NewtonArts & Culture297.94×
02TranslationBusiness & Career58.25×
03NotaryBusiness & Career52.82×
04Language educationBusiness & Career31.91×
05D&RTechnology & Electronics20.00×
06Roche BoboisHome & Garden20.00×
07Michael BoltonMusic & Radio20.00×
08CarrefourShopping19.69×
09Himalayan catPets & Animals19.07×
10paul smithFashion & Accessoires16.67×
11Language schoolKids & Family16.63×
12JD SportsShopping9.55×
13International educationBusiness & Career8.90×
14Law firmBusiness & Career8.34×
15StatisticsBusiness & Career7.53×
16Google NewsNews3.40×
17Staples (Canada)Business & Career3.16×
18LogisticsBusiness & Career3.06×
19YouTube MusicInternet & Social Media2.82×
20Indeed.comBusiness & Career2.35×
Section 05
Top six personality traits over-indexed by this audience (1.0 = country average).

Personality of the Machine translation 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 Machine translation audience · What stands out
TraitClusterDeviationScore
Quality AwarenessPREMIUM1.70×
Career OrientationPOWER1.68×
Family OrientationCONSERVATISM1.65×
0×1.00× baseline2×
↓ Rather not
The weakest tendencies
Top personality traits over-indexed by Machine translation audience · Rather not
TraitClusterDeviationScore
ExtroversionTHRILL0.85×
TraditionCONSERVATISM0.88×
Healthy LifestyleBALANCE0.90×
0×1.00× baseline2×
Section 06

Frequently asked questions

01

How many fans does Machine translation have in United States?

Machine translation has an estimated audience of 268,149 people in United States, concentrated in California and Texas.

02

What is the gender split and age of Machine translation fans?

65.0% of Machine translation fans are female, 35.0% are male, with an average age of 33.7 years.

03

Which brands do Machine translation fans like most?

Machine translation fans show strongest brand affinity for Translation (58.25×), Helmut Newton (297.94×), and Language education (31.91×) over the country average.

04

Where do Machine translation fans live in United States?

Machine translation fans in United States are most concentrated in California (reach ~30K), Texas (reach ~20K), and New York (reach ~20K). These three regions account for the largest share of the active audience.

05

What other brands do Machine translation fans also like?

Beyond Machine translation itself, the audience over-indexes on Helmut Newton (297.94×), Language education (31.91×), Notary (52.82×), and Law firm (8.34×) compared to the United States average.

Appendix

Explore more audiences

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

More audiences in United States

See Machine translation audiences in other countries

How to read this data

Audience size is the estimated number of people in United States who actively search for Machine translation. 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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