Craft beer enthusiast likelihood

Integer · rank

Ranks an individual's likelihood to consume craft beer, modeled based on whether household members drink beer at least weekly and regularly choose craft beer. Known or imputed for 255.7 million individuals — 99.5% of Faraday's identity graph.

At a glance

Coverage today
99.5%
Typical coverage
96.4%
Individuals with a value
255.7M
Median
47 rank
Most values come
from the person
When latest collection arrived
Nov 11, 2026

Distribution

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. The bars run in rank order, from the lowest value to the highest. The shading groups the bars into percentile bands.

Share by value

n = 255,708,937

Share of individuals with a known value in each band. The middle 50% falls between 24 and 72 rank, shaded darkest.

P10
11
P25
24
Median
47
P75
72
P90
88

P10 means 10% of individuals have a value at or below this one, and P90 means 90% do. P25 and P75 bound the middle half. The median is the middle: half are below it, half above.

Median over time

47 rank

50 rank → 47 rank across 12 collections, shaded between P25 and P75. Estimated from a 1% sample of individuals.

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

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

99.5% 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 99.5% sits on the catalog’s own coverage range.

catalog min 0%max 100%

Higher coverage than 45% 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
1 day
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.

59.1%

of individuals changed value between the two most recent collections — 3.7× the catalog median of 16.0%.

Went down 28.7%Unchanged 40.9%Went up 30.4%

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.

Neighbors found Oct 2026.

Use it in the API

Send an email, phone, or address. Get Craft beer enthusiast likelihood back in real time.

  1. Add craft_beer_enthusiast_likelihood to a project.
  2. Send an email, phone, or address to the project's append endpoint. The response carries Craft beer enthusiast likelihood 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":{"craft_beer_enthusiast_likelihood":47}}
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.
craft_beer_enthusiast_likelihood
Category
The catalog group the attribute is filed under.
fig/lifestyle
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.
Integer · rank
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.
ordinal
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.
null
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.
Higher number means a greater ranked likelihood.
Deprecation
True when the attribute is being retired; choose another for new work.
false
API reference