Vehicle 3 model

Text

Indicates the model of an individual's third vehicle. Known or imputed for 51.8 million individuals — 20.1% of Faraday's identity graph.

At a glance

Coverage today
20.1%
Typical coverage
13.4%
Individuals with a value
51.8M
Share in largest category
3.5%
Most values come
from the person
When latest collection arrived
Nov 11, 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 = 51,777,009

Share of individuals in each category. 99+ categories, of which the 20 largest are shown, with 3.5% in the largest.

F-150
3.5%
ACCORD
2.4%
SILVERADO 1500
2.3%
CAMRY
2.1%
CIVIC
1.7%
EXPLORER
1.6%
GRAND CHEROKEE
1.4%
COROLLA
1.4%
ALTIMA
1.2%
TAURUS
1.2%
RAM 1500
1.1%
GRAND CARAVAN
1.1%
CR-V
1.0%
RANGER
1.0%
SIERRA 1500
1.0%
ODYSSEY
1.0%
ESCAPE
0.9%
IMPALA
0.9%
TAHOE
0.9%
FOCUS
0.9%
All other values
71.3%
Distinct categories
99+
Share in largest category
3.5%
Share in top 3 categories
8.2%

Every category

99+ categories

The chart above draws the 20 largest. Search here for one it does not. This list holds the 100 most common; rarer values are not named.

  • F-1503.5%1,809,769 individuals
  • ACCORD2.4%1,260,817 individuals
  • SILVERADO 15002.3%1,170,443 individuals
  • CAMRY2.1%1,106,670 individuals
  • CIVIC1.7%875,366 individuals
  • EXPLORER1.6%833,244 individuals
  • GRAND CHEROKEE1.4%714,738 individuals
  • COROLLA1.4%711,383 individuals
  • ALTIMA1.2%621,405 individuals
  • TAURUS1.2%595,781 individuals
  • RAM 15001.1%585,898 individuals
  • GRAND CARAVAN1.1%544,156 individuals
  • CR-V1.0%540,700 individuals
  • RANGER1.0%531,409 individuals
  • SIERRA 15001.0%531,112 individuals
  • ODYSSEY1.0%525,619 individuals
  • ESCAPE0.9%486,107 individuals
  • IMPALA0.9%476,214 individuals
  • TAHOE0.9%473,677 individuals
  • FOCUS0.9%462,106 individuals
  • TOWN AND COUNTRY0.9%452,455 individuals
  • MALIBU0.9%443,327 individuals
  • TACOMA0.8%435,578 individuals
  • SUBURBAN0.8%429,142 individuals
  • MUSTANG0.8%417,796 individuals
  • F-250 SUPER DUTY0.7%386,916 individuals
  • JETTA0.7%370,484 individuals
  • SIENNA0.7%369,533 individuals
  • RAV40.7%360,085 individuals
  • PILOT0.7%352,934 individuals
  • EXPEDITION0.7%344,926 individuals
  • TUNDRA0.7%340,793 individuals
  • 4RUNNER0.6%328,417 individuals
  • CAVALIER0.6%326,785 individuals
  • SONATA0.6%325,227 individuals
  • C/K 1500 SERIES0.6%322,708 individuals
  • 3 SERIES0.6%316,210 individuals
  • SENTRA0.6%316,119 individuals
  • HIGHLANDER0.6%312,468 individuals
  • EQUINOX0.6%308,829 individuals

Category shares over time

3.5% (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
F-150ACCORDSILVERADO 1500CAMRYCIVIC

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

20.1% 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 20.1% sits on the catalog’s own coverage range.

catalog min 0%max 100%

Higher coverage than 35% 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.

Nov 11, 2026
when latest collection arrived
Aug 1, 2026
data as of
3 days
since the latest collection arrival
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.

25.7%

of individuals changed value between the two most recent collections — 1.1× the catalog median of 23.5%.

Contribution ledger

14 ingestions

1 authority contributed since Mar 2024.

ObservedIngestedCountID
264,508,7797eb390da-8602-4a0d-870b-33a136ac6e0b
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

Related attributes

Attributes whose descriptions are closest to this one.

Use it in the API

Send an email, phone, or address. Get Vehicle 3 model back in real time.

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_3_model":"F-150"}}

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_3_model
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