Associated post office name
Name of the USPS post office serving the individual's mailing address. Known or imputed for 119.5 million addresses — 99.6% of the addresses Faraday knows.
At a glance
- Coverage today
- 99.6%
- Typical coverage
- 98.5%
- Addresses with a value
- 119.5M
- Share in largest category
- 0.8%
- Most values come
- from the address
- 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.
Share by category
Share of addresses in each category.
No single value is common: at least 99 distinct values, the largest holds 0.8% of addresses with a value, and the 20 largest together hold 9.5%.
Show the 20 most common
Every category
99+ categoriesThe 20 most common are listed above. Search here for any other. This list holds the 100 most common; rarer values are not named.
- HOUSTON0.8%975,076 addresses
- CHICAGO0.7%875,498 addresses
- BROOKLYN0.7%799,966 addresses
- LOS ANGELES0.6%676,911 addresses
- NEW YORK0.6%661,029 addresses
- SAN ANTONIO0.5%636,647 addresses
- MIAMI0.5%632,708 addresses
- LAS VEGAS0.5%599,564 addresses
- PHILADELPHIA0.5%578,943 addresses
- DALLAS0.4%498,987 addresses
- COLUMBUS0.4%491,606 addresses
- DENVER0.4%475,330 addresses
- PHOENIX0.4%469,994 addresses
- JACKSONVILLE0.4%463,170 addresses
- SAN DIEGO0.4%427,724 addresses
- AUSTIN0.4%424,492 addresses
- MINNEAPOLIS0.3%415,637 addresses
- PORTLAND0.3%413,890 addresses
- CHARLOTTE0.3%410,856 addresses
- CLEVELAND0.3%408,526 addresses
- ATLANTA0.3%394,244 addresses
- BRONX0.3%387,424 addresses
- ORLANDO0.3%382,293 addresses
- INDIANAPOLIS0.3%367,875 addresses
- SEATTLE0.3%367,198 addresses
- SAINT LOUIS0.3%366,812 addresses
- WASHINGTON0.3%366,712 addresses
- CINCINNATI0.3%350,056 addresses
- SPRINGFIELD0.3%348,870 addresses
- FT LAUDERDALE0.3%342,796 addresses
- LOUISVILLE0.3%341,456 addresses
- FORT WORTH0.3%335,080 addresses
- TUCSON0.3%331,962 addresses
- TAMPA0.3%312,938 addresses
- RICHMOND0.3%312,484 addresses
- MILWAUKEE0.3%305,802 addresses
- SAN FRANCISCO0.3%303,522 addresses
- ROCHESTER0.3%303,056 addresses
- SAINT PAUL0.3%299,680 addresses
- PITTSBURGH0.2%285,844 addresses
Category shares over time
The 5 largest categories, each followed across 12 collections. Estimated from a 1% sample of addresses.
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 addresses in each state with a value.
Coverage over time
Share 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 99.6% sits on the catalog’s own coverage range.
Higher coverage than 92% of address-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 addresses it carried. Gaps are real — collection is periodic, not continuous.
Change between collections
How much values move between collections. Income or life events should move; heavy change in something steady can mean noisy data.
of addresses changed value between the two most recent collections — 140978.1× steadier than the catalog median of 23.5%.
Contribution ledger
15 ingestions1 authority contributed since Jul 2023.
| Observed | Ingested | Count | ID |
|---|---|---|---|
| 264,508,779 | 7eb390da-8602-4a0d-870b-33a136ac6e0b | ||
| 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 | ||
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 Associated post office name back in real time.
- Add
associated_post_office_nameto a project. - Send an email, phone, or address to the project's append endpoint. The response carries Associated post office name 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":{"associated_post_office_name":"HOUSTON"}}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.
- associated_
post_ office_ name - Category
- The catalog group the attribute is filed under.
- fig/geography
- Type · unit
- The kind of value and, where it has one, its unit of measure. Counts on this page are in addresses, 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.
- 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