Metro id

Text

Census Bureau identifier for the Metropolitan Statistical Area containing the individual's address. Known or imputed for 100.1 million addresses — 83.4% of the addresses Faraday knows.

At a glance

Coverage today
83.4%
Typical coverage
83.5%
Addresses with a value
100.1M
Share in largest category
6.3%
Most values come
from the address
When latest collection arrived
Apr 20, 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 = 100,056,842

Share of addresses in each category. 99+ categories, of which the 20 largest are shown, with 6.3% in the largest.

35620
6.3%
31080
3.7%
16980
3.2%
19100
2.6%
26420
2.3%
33100
2.2%
37980
2.2%
47900
2.1%
12060
2.1%
14460
1.8%
19820
1.7%
38060
1.6%
41860
1.5%
33460
1.3%
42660
1.3%
45300
1.3%
40140
1.3%
19740
1.1%
41180
1.1%
16740
1.1%
All other values
58.2%
Distinct categories
99+
Share in largest category
6.3%
Share in top 3 categories
13.2%

Every category

99+ 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.

  • 356206.3%6,278,390 addresses
  • 310803.7%3,696,759 addresses
  • 169803.2%3,186,361 addresses
  • 191002.6%2,626,934 addresses
  • 264202.3%2,287,295 addresses
  • 331002.2%2,195,585 addresses
  • 379802.2%2,188,059 addresses
  • 479002.1%2,136,657 addresses
  • 120602.1%2,101,334 addresses
  • 144601.8%1,771,983 addresses
  • 198201.7%1,735,352 addresses
  • 380601.6%1,641,763 addresses
  • 418601.5%1,462,625 addresses
  • 334601.3%1,341,128 addresses
  • 426601.3%1,337,257 addresses
  • 453001.3%1,313,047 addresses
  • 401401.3%1,255,697 addresses
  • 197401.1%1,143,417 addresses
  • 411801.1%1,088,911 addresses
  • 167401.1%1,059,343 addresses
  • 125801.0%1,022,788 addresses
  • 367401.0%1,007,130 addresses
  • 417401.0%985,927 addresses
  • 383000.9%937,486 addresses
  • 417000.9%891,762 addresses
  • 389000.9%879,977 addresses
  • 171400.9%879,096 addresses
  • 174600.9%869,977 addresses
  • 181400.8%839,997 addresses
  • 298200.8%827,123 addresses
  • 124200.8%821,489 addresses
  • 281400.8%795,991 addresses
  • 269000.8%792,091 addresses
  • 349800.8%762,562 addresses
  • 409000.7%746,601 addresses
  • 272600.7%662,445 addresses
  • 472600.6%642,996 addresses
  • 393000.6%620,897 addresses
  • 333400.6%613,398 addresses
  • 395800.6%569,417 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

83.4% today

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

Jan 20Jun 24Feb 25Jun 25Nov 25Mar 26Nov 26

How we arrive at a value

Latest collection: 119,389,496 addresses

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 83.4% sits on the catalog’s own coverage range.

catalog min 0%max 100%

Higher coverage than 81% 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.

Apr 20, 2026
when latest collection arrived
Jan 1, 2020
data as of
6 months 25 days
since the latest collection arrival
Jan 20
Data as of

Contribution ledger

1 ingestion

1 authority contributed since Jan 2020.

ObservedIngestedCountID
119,048,853e84435bf-fdae-464b-ad1b-45a5aca06bc2

Related attributes

Attributes whose descriptions are closest to this one.

Use it in the API

Send an email, phone, or address. Get Metro id 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":{"metro_id":"35620"}}

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.
metro_id
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.
categorical
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