Vehicle 4 make

Text

Indicates the make of an individual's fourth vehicle. Known or imputed for 33.2 million individuals — 12.9% of Faraday's identity graph.

At a glance

Coverage today
12.9%
Typical coverage
7.7%
Individuals with a value
33.2M
Share in largest category
16.7%
Most values come
from the person
Latest collection
Jun 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 = 33,194,286

Share of individuals in each category. 78 categories, of which the 20 largest are shown, with 16.7% in the largest.

FORD
16.7%
CHEVROLET
15.2%
TOYOTA
9.1%
DODGE
7.0%
HONDA
6.9%
NISSAN
4.8%
JEEP
3.6%
GMC
3.5%
PONTIAC
2.7%
CHRYSLER
2.6%
BUICK
2.1%
HYUNDAI
1.9%
MAZDA
1.7%
VOLKSWAGEN
1.7%
BMW
1.6%
MERCURY
1.5%
LEXUS
1.5%
CADILLAC
1.4%
MERCEDES-BENZ
1.4%
KIA
1.2%
All other values
11.9%
Distinct categories
78
Share in largest category
16.7%
Share in top 3 categories
41.0%

Every category

78 categories

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

  • FORD16.7%5,558,988 individuals
  • CHEVROLET15.2%5,030,759 individuals
  • TOYOTA9.1%3,015,151 individuals
  • DODGE7.0%2,322,774 individuals
  • HONDA6.9%2,290,863 individuals
  • NISSAN4.8%1,579,644 individuals
  • JEEP3.6%1,202,723 individuals
  • GMC3.5%1,163,713 individuals
  • PONTIAC2.7%883,764 individuals
  • CHRYSLER2.6%876,292 individuals
  • BUICK2.1%705,523 individuals
  • HYUNDAI1.9%632,429 individuals
  • MAZDA1.7%574,707 individuals
  • VOLKSWAGEN1.7%550,760 individuals
  • BMW1.6%534,232 individuals
  • MERCURY1.5%483,523 individuals
  • LEXUS1.5%481,733 individuals
  • CADILLAC1.4%468,264 individuals
  • MERCEDES-BENZ1.4%467,267 individuals
  • KIA1.2%412,732 individuals
  • OLDSMOBILE1.2%411,532 individuals
  • ACURA1.1%365,003 individuals
  • SATURN1.1%364,007 individuals
  • SUBARU1.1%362,294 individuals
  • MITSUBISHI0.9%310,055 individuals
  • LINCOLN0.9%299,456 individuals
  • PLYMOUTH0.8%250,508 individuals
  • VOLVO0.7%236,602 individuals
  • INFINITI0.6%206,136 individuals
  • AUDI0.6%191,839 individuals
  • RAM0.5%178,415 individuals
  • ISUZU0.3%110,190 individuals
  • GEO0.3%85,007 individuals
  • SUZUKI0.2%81,754 individuals
  • LAND ROVER0.2%72,097 individuals
  • SAAB0.2%67,499 individuals
  • SCION0.2%66,179 individuals
  • PORSCHE0.2%66,044 individuals
  • JAGUAR0.2%59,931 individuals
  • MINI0.2%55,260 individuals

Category shares over time

16.7% (largest)

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

Jun 2024Mar 2025Jul 2025Nov 2025Feb 2026Jun 2026
FORDCHEVROLETTOYOTADODGEHONDA

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

12.9% today

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

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

How we arrive at a value

Latest collection: 223,305,428 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 12.9% sits on the catalog’s own coverage range.

catalog min 0%max 100%

Higher coverage than 31% of individual-level attributes in the catalog

Freshness

Whether the values reflect today. A long gap since the latest collection 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.

Jun 1, 2026
latest collection
4 months 23 days
since the latest collection
every two months
new collection cadence
Jun 24Mar 25Jul 25Nov 25Feb 26May 26

Change between collections

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

16.4%

of individuals changed value between the two most recent collections — 1.0× the catalog median of 16.0%.

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 4 make back in real time.

  1. Add vehicle_4_make to a project.
  2. Send an email, phone, or address to the project's append endpoint. The response carries Vehicle 4 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_4_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_4_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