Credit score proxy
Groups individuals into 12 ranks across 5 tiers (Best, Above average, Average, Below average, Poor); each tier spans 2-3 ranks. Rank 1 (~760 credit score) is best, rank 12 (~590) is lowest. Lower rank = higher score. Known or imputed for 257.6 million individuals — 100.0% of Faraday's identity graph.
257,569,338 people have this value. You only pay for people we match.
At a glance
- Coverage today
- 100.0%
- Typical coverage
- 98.1%
- Individuals with a value
- 257.6M
- Median
- 4
- Most values come
- from the person
- Latest collection
- Jun 1, 2026
Distribution
n = 257,569,338Share of individuals with a known value in each band. The middle 50% falls between 2 and 8, shaded darkest.
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
44 → 4 across 12 collections, shaded between P25 and P75. Estimated from a 1% sample of individuals.
What the delivered codes mean
12 codes
- 1
- Best - ~760 credit score
- 2
- Best - ~740 credit score
- 3
- Above average - ~725 credit score
- 4
- Above average - ~710 credit score
- 5
- Average - ~690 credit score
- 6
- Average - ~675 credit score
- 7
- Below average - ~660 credit score
- 8
- Below average - ~650 credit score
- 9
- Below average - ~640 credit score
- 10
- Poor - ~625 credit score
- 11
- Poor - ~610 credit score
- 12
- Poor - ~590 credit score
Coverage
Latest collection: 223,305,428 individualsCoverage by state
Percentage of individuals in each state with a value.
Coverage over time
100.0% todayShare of individuals holding a value at each monthly snapshot. A value carries forward for one year.
How we arrive at a value
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.
Higher coverage than 47% of individual-level attributes in the catalog
Freshness
How recently this was collected, and how often a new collection arrives. Each bar is the number of individuals in that collection. Gaps are real — collection is periodic, not continuous.
Change between collections
The share of individuals whose value is different from the previous collection.
of individuals changed value between the two most recent collections — 2.3× the catalog median of 16.0%.
Contribution ledger
14 ingestions1 authority contributed since Jul 2023.
| Observed | Ingested | Count | ID |
|---|---|---|---|
| 263,433,649 | 74d6c94c-8e2b-48fe-a704-50c99ad3cdde | ||
| 266,506,942 | c5492806-a892-460e-aba1-ee78ffb29c5b | ||
| 264,096,977 | 1181277b-b751-4a59-aae1-101fa3f55375 | ||
| 264,777,400 | af53c569-4fe2-4282-975b-4cbf5f85692d | ||
| 268,508,091 | 84d6a1c5-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 Credit score proxy back in real time.
- Add
credit_score_proxyto a project. - Send an email, phone, or address to the project's append endpoint. The response carries Credit score proxy 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":{"credit_score_proxy":"Above average - ~710 credit score"}}Technical details
- API name
- credit_score_proxy
- Category
- fig/financial
- Type · unit
- Integer
- Statistical type
- ordinal
- Allowed values
- null
- Derivations
- Modeled
- — the attribute is calculated using an algorithm that takes known records as input.
- How values combine
- Uses the first available of up to 2 source fields, in priority order.
- Directionality
- Lower rank values indicate a higher modeled credit score and greater marketing profitability; rank 1 is best, rank 12 is poor.
- Deprecation
- false