Socioeconomic category

Text

Classifies an individual's household into distinct socioeconomic segments. Known or imputed for 257.6 million individuals — 100.0% of Faraday's identity graph.

At a glance

Coverage today
100.0%
Typical coverage
98.1%
Individuals with a value
257.6M
Share in largest category
6.7%
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 = 257,569,338

Share of individuals in each category. 100+ categories, of which the 20 largest are shown, with 6.7% in the largest.

since previous collection
Affluent empty nesters - Young ultra-high NW owners
6.7%
Comfortable retirees - Retired modest-income owners
6.0%
Retired investors - Modest-income retired savers
4.9%
Settled senior homeowners - Elderly modest owners long tenure
4.5%
High-spending parents - Prosperous suburban parents
4.3%
Retired investors - Wealthy retired investors
4.1%
Charitable affluent families - Generous affluent parents
3.6%
Settled senior homeowners - Senior low-income renters minimal NW
3.1%
Low-activity retirees - Senior very-low-income renters
2.9%
Minimum-wage renters - Midlife minimum-wage renters
2.6%
Young career builders - Midlife budget renters
2.3%
Wealthy seniors - Top-earning senior grad parents
2.3%
Budget-conscious singles - Midlife moderate owners some college
2.1%
Comfortable retirees - Senior modest renters moderate NW
2.1%
Family homeowners - Midlife family homeowners HS
2.0%
Budget-conscious singles - Midlife near-poverty renters HS
1.9%
Low-activity retirees - Senior low-income owners with time
1.9%
Affluent empty nesters - Upper-class midlife owners
1.9%
Elderly homeowners - Elderly low-income long-tenured owners
1.8%
Minimum-wage renters - Young minimum-wage renters
1.8%
All other values
37.4%
Distinct categories
100+
Share in largest category
6.7%
Share in top 3 categories
17.5%

Every category

100+ 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.

  • Affluent empty nesters - Young ultra-high NW owners6.7%17,184,468 individuals
  • Comfortable retirees - Retired modest-income owners6.0%15,404,540 individuals
  • Retired investors - Modest-income retired savers4.9%12,579,705 individuals
  • Settled senior homeowners - Elderly modest owners long tenure4.5%11,466,051 individuals
  • High-spending parents - Prosperous suburban parents4.3%11,177,515 individuals
  • Retired investors - Wealthy retired investors4.1%10,560,344 individuals
  • Charitable affluent families - Generous affluent parents3.6%9,257,131 individuals
  • Settled senior homeowners - Senior low-income renters minimal NW3.1%7,949,585 individuals
  • Low-activity retirees - Senior very-low-income renters2.9%7,489,755 individuals
  • Minimum-wage renters - Midlife minimum-wage renters2.6%6,573,660 individuals
  • Young career builders - Midlife budget renters2.3%5,883,429 individuals
  • Wealthy seniors - Top-earning senior grad parents2.3%5,803,554 individuals
  • Budget-conscious singles - Midlife moderate owners some college2.1%5,468,066 individuals
  • Comfortable retirees - Senior modest renters moderate NW2.1%5,328,989 individuals
  • Family homeowners - Midlife family homeowners HS2.0%5,272,730 individuals
  • Budget-conscious singles - Midlife near-poverty renters HS1.9%4,838,052 individuals
  • Low-activity retirees - Senior low-income owners with time1.9%4,818,683 individuals
  • Affluent empty nesters - Upper-class midlife owners1.9%4,782,684 individuals
  • Elderly homeowners - Elderly low-income long-tenured owners1.8%4,696,799 individuals
  • Minimum-wage renters - Young minimum-wage renters1.8%4,686,528 individuals
  • Comfortable retirees - Senior comfortable homeowners1.8%4,637,887 individuals
  • Budget-conscious singles - Midlife moderate renters1.7%4,454,905 individuals
  • DIY homeowners - Midlife low-income owners1.6%4,049,595 individuals
  • Moderate-income singles - Midlife moderate-income owners1.6%4,042,860 individuals
  • Transient renters - Upper-mid renting professionals1.4%3,589,600 individuals
  • Budget-conscious singles - Senior moderate renters no kids1.3%3,300,114 individuals
  • Modest homeowners - Senior comfortable long-tenured parents1.3%3,299,804 individuals
  • Transient renters - Wealthy senior renters1.0%2,644,796 individuals
  • Modest homeowners - Midlife moderate owning parents1.0%2,632,732 individuals
  • Senior parents - Senior moderate owning parents long tenure0.9%2,388,222 individuals
  • Mobile families - Prosperous midlife owning families0.9%2,369,623 individuals
  • Young career builders - Young moderate renters0.9%2,341,641 individuals
  • Blue-collar parents - Blue-collar midlife parents0.9%2,341,287 individuals
  • Young career builders - Young budget renters0.9%2,305,641 individuals
  • Young mobile renters - Young near-poverty transient renters0.9%2,189,945 individuals
  • Family homeowners - Midlife renting families HS0.8%1,951,841 individuals
  • Affluent empty nesters - Wealthy young professionals0.8%1,951,311 individuals
  • Wealthy seniors - Millionaire empty-nest owners0.7%1,887,804 individuals
  • Modest homeowners - Midlife low-income owning parents minimal NW0.7%1,843,036 individuals
  • Mobile families - High-income midlife renting families0.7%1,833,033 individuals

Category shares over time

6.7% (largest)

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

Jun 2024Mar 2025Jul 2025Nov 2025Feb 2026Jun 2026
Affluent empty nesters - Young ultra-high NW ownersComfortable retirees - Retired modest-income ownersRetired investors - Modest-income retired saversSettled senior homeowners - Elderly modest owners long tenureHigh-spending parents - Prosperous suburban parents

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

100.0% today

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

Jul 23Jun 24Mar 25Jul 25Nov 25Feb 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 100.0% sits on the catalog’s own coverage range.

catalog min 0%max 100%

Higher coverage than 47% 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 24 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.

6.5%

of individuals changed value between the two most recent collections — 2.5× steadier than the catalog median of 16.0%.

Contribution ledger

14 ingestions

1 authority contributed since Jul 2023.

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.

Use it in the API

Send an email, phone, or address. Get Socioeconomic category 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":{"socioeconomic_category":"Affluent empty nesters - Young ultra-high NW owners"}}

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.
socioeconomic_category
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.
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.
Modeled
— the attribute is calculated using an algorithm that takes known records as input.
Unspecified
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