Vehicle 2 make

Text

Indicates the make of an individual's second vehicle. Known or imputed for 77.0 million individuals — 30.0% of Faraday's identity graph.

At a glance

Coverage today
30.0%
Typical coverage
23.0%
Individuals with a value
77.0M
Share in largest category
14.9%
Most values come
from the person
Data as of
Aug 1, 2026

How the categories split

How values are spread across the records that have one. Use it to check that the attribute tells records apart: when one value holds nearly everyone, it will not separate audiences much. Categories are ranked by share, largest first. “All other values” groups the smallest into one bar.

Share by category

n = 77,003,426

Share of individuals in each category. 78 categories, of which the 20 largest are shown, with 14.9% in the largest.

FORD
14.9%
CHEVROLET
13.7%
TOYOTA
10.9%
HONDA
8.1%
DODGE
5.6%
NISSAN
5.5%
JEEP
3.8%
GMC
3.4%
HYUNDAI
3.0%
CHRYSLER
2.5%
KIA
2.1%
BUICK
1.9%
VOLKSWAGEN
1.9%
SUBARU
1.9%
PONTIAC
1.8%
LEXUS
1.7%
MAZDA
1.7%
BMW
1.6%
MERCEDES-BENZ
1.6%
CADILLAC
1.3%
All other values
11.1%
Distinct categories
78
Share in largest category
14.9%
Share in top 3 categories
39.5%

Every category

78 categories

The chart above draws the 20 largest. Search here for one it does not.

  • FORD14.9%11,505,162 individuals
  • CHEVROLET13.7%10,570,382 individuals
  • TOYOTA10.9%8,366,439 individuals
  • HONDA8.1%6,214,430 individuals
  • DODGE5.6%4,333,341 individuals
  • NISSAN5.5%4,224,261 individuals
  • JEEP3.8%2,912,489 individuals
  • GMC3.4%2,603,330 individuals
  • HYUNDAI3.0%2,317,078 individuals
  • CHRYSLER2.5%1,935,646 individuals
  • KIA2.1%1,649,176 individuals
  • BUICK1.9%1,473,986 individuals
  • VOLKSWAGEN1.9%1,439,752 individuals
  • SUBARU1.9%1,424,820 individuals
  • PONTIAC1.8%1,374,423 individuals
  • LEXUS1.7%1,322,470 individuals
  • MAZDA1.7%1,310,137 individuals
  • BMW1.6%1,257,585 individuals
  • MERCEDES-BENZ1.6%1,203,515 individuals
  • CADILLAC1.3%1,022,336 individuals
  • RAM1.2%950,470 individuals
  • ACURA1.2%918,864 individuals
  • MERCURY1.0%771,115 individuals
  • SATURN0.9%660,679 individuals
  • LINCOLN0.8%633,371 individuals
  • MITSUBISHI0.8%593,282 individuals
  • AUDI0.7%573,723 individuals
  • INFINITI0.7%523,887 individuals
  • OLDSMOBILE0.7%509,032 individuals
  • VOLVO0.7%502,509 individuals
  • PLYMOUTH0.4%286,181 individuals
  • SCION0.2%192,122 individuals
  • LAND ROVER0.2%179,561 individuals
  • MINI0.2%169,982 individuals
  • SUZUKI0.2%164,187 individuals
  • PORSCHE0.2%137,290 individuals
  • ISUZU0.2%134,652 individuals
  • JAGUAR0.1%112,932 individuals
  • TESLA0.1%108,033 individuals
  • SAAB0.1%102,151 individuals

Category shares over time

14.9% (largest)

The 5 largest categories, each followed across 12 collections. Estimated from a 1% sample of individuals.

Nov 2024Apr 2025Oct 2025Dec 2025Mar 2026Jun 2026Aug 2026
FORDCHEVROLETTOYOTAHONDADODGE

Coverage

How widely Faraday has this attribute, and how precise its values are. How many of your own records get a value also depends on how many of them Faraday matches. The state map shows where coverage is thin. Coverage over time shows whether it is growing or shrinking.

Coverage by state

Percentage of individuals in each state with a value.

Coverage over time

30.0% today

Share of individuals holding a value at each monthly snapshot. A value carries forward for one year.

Mar 24Nov 24Apr 25Oct 25Dec 25Mar 26Aug 26

How we arrive at a value

Latest collection: 225,958,234 individuals

Whether a value was observed on the person themselves, carried from their address, or estimated from the people around them.

On the person — 100%
A named person, from a record about that person.
From address — 0%
Not used for this attribute — no value is inherited this way.
From geography — 0%
Not used for this attribute — no value is inherited this way.

Coverage, in context

Where 30.0% sits on the catalog’s own coverage range.

catalog min 0%max 100%

Higher coverage than 38% of individual-level attributes in the catalog

Freshness

Whether the values reflect today. A long gap since the latest collection arrival means they may lag behind what is true now.

Collections

How recently this was collected, and how often a new collection arrives. Each bar is one collection, sized by how many individuals it carried. Gaps are real — collection is periodic, not continuous.

Aug 1, 2026
data as of
every two months
median collection cadence
Nov 24Apr 25Oct 25Dec 25Mar 26Jun 26
Data as of

Change between collections

How much values move between collections. Income or life events should move; heavy change in something steady can mean noisy data.

16.0%

of individuals changed value between the two most recent collections — 1.5× steadier than the catalog median of 23.5%.

Contribution ledger

13 ingestions

1 authority contributed since Mar 2024.

ObservedIngestedCountID
263,433,64974d6c94c-8e2b-48fe-a704-50c99ad3cdde
266,506,942c5492806-a892-460e-aba1-ee78ffb29c5b
264,096,9771181277b-b751-4a59-aae1-101fa3f55375
264,777,400af53c569-4fe2-4282-975b-4cbf5f85692d
268,508,09184d6a1c5-d142-4a4d-9cb3-902de4c82c30

Related attributes

Attributes whose descriptions are closest to this one.

Neighbors found Oct 2026.

Use it in the API

Send an email, phone, or address. Get Vehicle 2 make back in real time.

  1. Add vehicle_2_make to a project.
  2. Send an email, phone, or address to the project's append endpoint. The response carries Vehicle 2 make for the matched person.
curl -X POST 'https://api.pro.faraday.ai/v1/projects/YOUR_PROJECT_ID/append' \
  -H 'Authorization: Bearer YOUR_API_KEY' \
  -H 'Content-Type: application/json' \
  -d '{
      "email": "jane.doe@example.com"
    }'
→ {"attributes":{"vehicle_2_make":"FORD"}}
Get it by APIAppend to a fileRead the API docs

Technical details

null in any row means the label does not apply, or is not recorded, for this attribute.

API name
The field to request through the API, and the key it comes back under in a payload.
vehicle_2_make
Category
The catalog group the attribute is filed under.
fig/vehicles
Type · unit
The kind of value and, where it has one, its unit of measure. Counts on this page are in individuals, whatever the unit.
Text
Statistical type
How the values are meant to be read: a measured amount, one of a ranked set, one of an unordered set, or several from an unordered set. The chart's form comes from the published values; for categories without a rank prefix, this label decides whether they are listed in rank order or by size.
nominal
Allowed values
The full list of values, when the attribute has a fixed set.
null
Derivations
How the value is produced, each with its definition.
Observed
— the attribute is directly observed.
How values combine
How the values from the attribute's sources become the one value delivered.
Read from a single source field.
Directionality
For ordered values, what a higher value means.
null
Deprecation
True when the attribute is being retired; choose another for new work.
false
API reference