Town id
Numeric code for the town containing the individual's address. Known or imputed for 22.7 million addresses — 19.0% of the addresses Faraday knows.
You only pay for people we match.
At a glance
- Coverage today
- 19.0%
- Typical coverage
- 19.0%
- Addresses with a value
- 22.7M
- Share in largest category
- 1.0%
- Most values come
- from the address
- Latest collection
- Jan 1, 2020
How the categories split
n = 22,732,697Share of addresses in each category. 99+ categories, of which the 20 largest are shown, with 1.0% in the largest.
Every category
99+ categoriesThe 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.
- 36059340001.0%230,552 addresses
- 36103100000.7%158,574 addresses
- 36059560000.4%96,578 addresses
- 36103380000.4%95,656 addresses
- 05119903000.4%90,724 addresses
- 04274000.4%87,484 addresses
- 36059530000.3%75,842 addresses
- 29095380540.3%73,999 addresses
- 36103370000.3%65,707 addresses
- 36103040000.3%65,022 addresses
- 17201650130.3%63,469 addresses
- 37107400.3%62,212 addresses
- 29095064900.3%61,138 addresses
- 17031811000.2%55,988 addresses
- 17043206040.2%54,740 addresses
- 37183926120.2%52,207 addresses
- 17031621330.2%49,450 addresses
- 09001730700.2%48,021 addresses
- 09001080700.2%47,297 addresses
- 36029020000.2%46,873 addresses
- 17167110460.2%46,314 addresses
- 17031680160.2%45,863 addresses
- 37063909320.2%43,362 addresses
- 09009520700.2%43,072 addresses
- 17043439520.2%42,396 addresses
- 17043494510.2%40,826 addresses
- 09003370700.2%40,810 addresses
- 17031572380.2%40,377 addresses
- 09009800700.2%39,527 addresses
- 36103680000.2%38,643 addresses
- 36055302900.2%38,365 addresses
- 17031454470.2%38,263 addresses
- 37051928920.2%37,864 addresses
- 17043066000.2%37,831 addresses
- 17031079390.2%37,177 addresses
- 17031530130.2%37,150 addresses
- 12164750.2%37,019 addresses
- 34029731250.2%36,529 addresses
- 17143590130.2%36,423 addresses
- 36029150110.2%36,246 addresses
Coverage
Latest collection: 119,389,496 addressesCoverage by state
Percentage of addresses in each state with a value.
Coverage over time
19.0% todayShare of addresses 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 — 0%
- Not used for this attribute — no value is inherited this way.
- From address — 100%
- Carried from what we know about the household at their address.
- From geography — 0%
- Not used for this attribute — no value is inherited this way.
Coverage, in context
Where 19.0% sits on the catalog’s own coverage range.
Higher coverage than 35% of address-level attributes in the catalog
Freshness
How recently this was collected, and how often a new collection arrives. Each bar is the number of addresses in that collection. Gaps are real — collection is periodic, not continuous.
Contribution ledger
1 ingestion1 authority contributed since Jan 2020.
| Observed | Ingested | Count | ID |
|---|---|---|---|
| 119,048,853 | e84435bf-fdae-464b-ad1b-45a5aca06bc2 |
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 Town id back in real time.
- Add
town_idto a project. - Send an email, phone, or address to the project's append endpoint. The response carries Town id 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":{"town_id":"3605934000"}}Technical details
- API name
- town_id
- Category
- fig/geography
- Type · unit
- Text
- Statistical type
- categorical
- Allowed values
- null
- Derivations
- Unspecified
- How values combine
- Read from a single source field.
- Directionality
- null
- Deprecation
- false