Rascasse Audience Intelligence

Automated teller machine Audience in United States

A data profile of the people who buy, follow and care about Automated teller machine in United States — modelled from more than twelve digital signal sources. Automated teller machine has an estimated audience of 2,427,670 people in United States.

#200among Touchpoint in United States#962in Business & Career

The average Automated teller machine fan in United States is 38.5 years old, balanced, and lives primarily in California.

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

Top brand affinities include Cash, Mobile banking, Personal finance, with strongest over-indexing on Cash (6.15× the country average).

Demographically, the Automated teller machine audience skews balanced with an average age of 38.5, and over-indexes on personality traits such as Career Orientation, Risk Appetite.

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

The typical Automated teller machine fan in United States is balanced, around 38.5 years old, with strong Career Orientation tendencies and a notable affinity for Cash.

Category: Business & Career · Type: Touchpoint

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 Automated teller machine profile in United States.

Audience size
2.4M
in United States
Gender
47.9%♀
52.1% male
Age
38.5
average years
Country rank
#12187
Touchpoint in United States
Fig. 01

Search interest · 12-month trend

-87%
vs. last year
JanMarMayJulSepNov
Monthly searches · Source: Rascasse Audience Intelligence
Section 02

Demographics of Automated teller machine fans

47.9% are female, 52.1% are male, average age 38.5.

Fig. 02

Gender split

47.9%
Female
52.1%
Male
Demographic split for Automated teller machine audience in United States
MetricValue
Female47.9%
Male52.1%
Average age38.5
Estimated audience size2,427,670
Fig. 03

Age distribution

Ø 38.5
average years
Age distribution of the Automated teller machine audience in United States
Age bracketShare%
16-1922%
20-2921%
30-3919%
40-4918%
50+20%
Fig. 04

Worldwide distribution

15.1%

of the worldwide Automated teller machine audience comes from United States.

Worldwide audience distribution share by country for Automated teller machine
CountryShare
United States15.1%
Taiwan9.3%
Indonesia5.4%
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 Automated teller machine audience in United States is strongest.

Fig. 05

Top regions by affinity

Automated teller machine fans by region: top regions in United States
#RegionReachAffinity×
01Alaska~10K2.00×
02Maine~10K1.70×
03New York~200K1.40×
04New Jersey~80K1.34×
05California~300K1.27×
06Louisiana~40K1.22×
07Texas~200K1.18×
08Hawaii~10K1.15×
09Mississippi~20K1.09×
10Georgia~80K1.07×
11Nevada~20K1.06×
12Oklahoma~30K1.05×
13Arkansas~20K1.03×
14Alabama~30K1.02×
15Washington, District of Columbia~7K1.02×
16Maryland~40K1.00×
17Massachusetts~50K0.98×
18New Mexico~10K0.98×
19North Dakota~5K0.98×
20Kentucky~30K0.97×
21North Carolina~70K0.96×
22Rhode Island~7K0.96×
23Delaware~6K0.96×
24Connecticut~20K0.95×
25Kansas~20K0.95×
26South Dakota~5K0.95×
27Vermont~4K0.95×
28Virginia~60K0.94×
29South Carolina~30K0.94×
30Montana~6K0.94×
31Pennsylvania~80K0.92×
32Arizona~50K0.92×
33Tennessee~40K0.92×
34Washington~40K0.91×
35Colorado~30K0.90×
36Nebraska~10K0.90×
37Idaho~10K0.90×
38West Virginia~10K0.90×
39New Hampshire~9K0.90×
40Florida~100K0.89×
41Illinois~70K0.89×
42Iowa~20K0.89×
43Indiana~40K0.88×
44Ohio~60K0.86×
45Michigan~50K0.86×
46Wisconsin~30K0.85×
47Oregon~20K0.85×
48Utah~20K0.84×
49Missouri~30K0.83×
50Minnesota~30K0.83×
Fig. 06

Affinity by region

Affinity by region — Automated teller machine, United States
0.83×1.00×2.00×
Section 04
Brands and entities this audience over-indexes on, vs. the country average.

Audience interests & affinities

The strongest cross-interests of the Automated teller machine audience — brands, topics and people combined.

Fig. 07

Top cross-interests, ranked by affinity

Top brand affinities (over-index vs. country average) for Automated teller machine audience
#·InterestCategoryAffinity×
01Debit card cashbackBusiness & Career28.26×
02Cash advanceBusiness & Career13.47×
03Mobile bankingBusiness & Career8.17×
04Fossil fuelPolitics & Society7.42×
05CashBusiness & Career6.15×
06Debit cardBusiness & Career4.83×
07Deposit accountBusiness & Career4.50×
08Bank accountBusiness & Career4.03×
09Bank of AmericaBusiness & Career2.26×
10BankingBusiness & Career1.99×
11Mobile gameGames1.90×
12Capital OneBusiness & Career1.88×
13PowerballGames1.77×
14T-MobileTechnology & Electronics1.74×
15Local newsNews1.74×
16Wells FargoBusiness & Career1.72×
17Personal financeBusiness & Career1.67×
18Breaking newsMovies & TV1.64×
19InvestmentBusiness & Career1.63×
20FinanceBusiness & Career1.52×
Section 05
Top six personality traits over-indexed by this audience (1.0 = country average).

Personality of the Automated teller machine 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 Automated teller machine audience · What stands out
TraitClusterDeviationScore
Career OrientationPOWER1.62×
Risk AppetiteTHRILL1.49×
Need for SecurityCONSERVATISM1.44×
0×1.00× baseline2×
↓ Rather not
The weakest tendencies
Top personality traits over-indexed by Automated teller machine audience · Rather not
TraitClusterDeviationScore
Design AffinityPREMIUM0.83×
SustainabilityBALANCE0.88×
MindfulnessBALANCE0.89×
0×1.00× baseline2×
Section 06

Frequently asked questions

01

How many fans does Automated teller machine have in United States?

Automated teller machine has an estimated audience of 2,427,670 people in United States, concentrated in California and Texas.

02

What is the gender split and age of Automated teller machine fans?

47.9% of Automated teller machine fans are female, 52.1% are male, with an average age of 38.5 years.

03

Which brands do Automated teller machine fans like most?

Automated teller machine fans show strongest brand affinity for Cash (6.15×), Mobile banking (8.17×), and Personal finance (1.67×) over the country average.

04

Where do Automated teller machine fans live in United States?

Automated teller machine fans in United States are most concentrated in California (reach ~300K), Texas (reach ~200K), and New York (reach ~200K). These three regions account for the largest share of the active audience.

05

What other brands do Automated teller machine fans also like?

Beyond Automated teller machine itself, the audience over-indexes on Mobile banking (8.17×), Personal finance (1.67×), Debit card (4.83×), and Cash advance (13.47×) compared to the United States average.

Appendix

Explore more audiences

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

More Business & Career audiences in United States

See Automated teller machine audiences in other countries

How to read this data

Audience size is the estimated number of people in United States who actively search for Automated teller machine. 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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