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Zip Codes Tabulation Areas 5 digits - Vintage/Millésimé - United States of America

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This dataset is part of the Geographical repository maintained by Opendatasoft. This dataset contains data for zip codes 5 digits in United States of America. ZIP Code Tabulation Areas (ZCTAs) are approximate area representations of U.S. Postal Service (USPS) ZIP Code service areas that the Censu...

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Trust score

How is this computed?
0
poor

Weighted across five axes. Tap a ring for what it measures.

Data schema (14 fields)

Filterable via the API (12)
yearste_codeste_namecoty_codecoty_namezcta5_codezcta5_namezcta5_area_codezcta5_typezcta5_name_longzcta5_fp_codezcta5_gnis_code

Click a field to see example values.

FillFieldTypeDescription
—geo_point_2dGeo Pointgeo_point_2d—
—geo_shapeShapegeo_shape—
—yearFilterable via the APIdate—
—ste_codeFilterable via the APIOfficial Code Statetext—
—ste_nameFilterable via the APIOfficial Name Statetext—
—coty_codeFilterable via the APIOfficial Code Countytext—
—coty_nameFilterable via the APIOfficial Name Countytext—
—zcta5_codeFilterable via the APIOfficial Code ZIP Codetext—
—zcta5_nameFilterable via the APIOfficial Name ZIP Codetext—
—zcta5_area_codeFilterable via the APIIso 3166-3 Area Codetext—
100%zcta5_typeFilterable via the APITypetext—
0%zcta5_name_longFilterable via the APIZcta5 name longtext—
0%zcta5_fp_codeFilterable via the APIZcta5 fp codetext—
0%zcta5_gnis_codeFilterable via the APIZcta5 gnis codetext—

Schema captured from opendatasoft 1 hour ago.

Query the data

Pick columns and a sort, then fetch a live preview straight from the source. Choose an API-filterable column (marked ▾) under “Where” to pick from its list of values.

=

Sample data (5 records)

Record 1year: 2021 · ste_code: ["35"]
{
  "year": "2021",
  "ste_code": [
    "35"
  ],
  "ste_name": [
    "New Mexico"
  ],
  "coty_code": [
    "35031"
  ],
  "coty_name": [
    "McKinley"
  ],
  "geo_shape": "[large value omitted]",
  "zcta5_code": [
    "87317"
  ],
  "zcta5_name": [
    "87317"
  ],
  "zcta5_type": "five-digit ZCTA",
  "geo_point_2d": {
    "lat": 35.58023330915534,
    "lon": -108.75243391821044
  },
  "zcta5_fp_code": null,
  "zcta5_area_code": "USA",
  "zcta5_gnis_code": null,
  "zcta5_name_long": null
}
Record 2year: 2022 · ste_code: ["39"]
{
  "year": "2022",
  "ste_code": [
    "39"
  ],
  "ste_name": [
    "Ohio"
  ],
  "coty_code": [
    "39021",
    "39023",
    "39057"
  ],
  "coty_name": [
    "Champaign",
    "Clark",
    "Greene"
  ],
  "geo_shape": "[large value omitted]",
  "zcta5_code": [
    "45502"
  ],
  "zcta5_name": [
    "45502"
  ],
  "zcta5_type": "five-digit ZCTA",
  "geo_point_2d": {
    "lat": 39.92792707890217,
    "lon": -83.81695355005722
  },
  "zcta5_fp_code": null,
  "zcta5_area_code": "USA",
  "zcta5_gnis_code": null,
  "zcta5_name_long": null
}
Record 3year: 2022 · ste_code: ["39"]
{
  "year": "2022",
  "ste_code": [
    "39"
  ],
  "ste_name": [
    "Ohio"
  ],
  "coty_code": [
    "39131"
  ],
  "coty_name": [
    "Pike"
  ],
  "geo_shape": "[large value omitted]",
  "zcta5_code": [
    "45646"
  ],
  "zcta5_name": [
    "45646"
  ],
  "zcta5_type": "five-digit ZCTA",
  "geo_point_2d": {
    "lat": 39.07681672935233,
    "lon": -83.31636643606107
  },
  "zcta5_fp_code": null,
  "zcta5_area_code": "USA",
  "zcta5_gnis_code": null,
  "zcta5_name_long": null
}
Record 4year: 2022 · ste_code: ["18"]
{
  "year": "2022",
  "ste_code": [
    "18"
  ],
  "ste_name": [
    "Indiana"
  ],
  "coty_code": [
    "18101"
  ],
  "coty_name": [
    "Martin"
  ],
  "geo_shape": "[large value omitted]",
  "zcta5_code": [
    "47522"
  ],
  "zcta5_name": [
    "47522"
  ],
  "zcta5_type": "five-digit ZCTA",
  "geo_point_2d": {
    "lat": 38.88545581199959,
    "lon": -86.80538355946759
  },
  "zcta5_fp_code": null,
  "zcta5_area_code": "USA",
  "zcta5_gnis_code": null,
  "zcta5_name_long": null
}
Record 5year: 2022 · ste_code: ["37"]
{
  "year": "2022",
  "ste_code": [
    "37"
  ],
  "ste_name": [
    "North Carolina"
  ],
  "coty_code": [
    "37183"
  ],
  "coty_name": [
    "Wake"
  ],
  "geo_shape": "[large value omitted]",
  "zcta5_code": [
    "27604"
  ],
  "zcta5_name": [
    "27604"
  ],
  "zcta5_type": "five-digit ZCTA",
  "geo_point_2d": {
    "lat": 35.82011617015363,
    "lon": -78.56374744822502
  },
  "zcta5_fp_code": null,
  "zcta5_area_code": "USA",
  "zcta5_gnis_code": null,
  "zcta5_name_long": null
}

Live sample captured at profiling time — values may have changed upstream.

Using the API

Configuration

Base URL
https://public.opendatasoft.com/api/explore/v2.1/catalog/datasets/georef-united-states-of-america-zcta5-millesime

License

Terms stated by the source (not a recognized license):

https://en.wikipedia.org/wiki/Public_domain

Query examples

curl -s 'https://public.opendatasoft.com/api/explore/v2.1/catalog/datasets/georef-united-states-of-america-zcta5-millesime/records?limit=20' -H 'Accept: application/json'

First 20 records of the dataset as JSON.

Uses the Opendatasoft Explore v2.1 syntax — supports select, where, group_by and order_by.

Full API documentation ↗

Rate limits

10 000 000 req/day
per ipmeasured
observed 1 hour ago

Dataset

Volume & freshness

Records
135k
134517
Update cadence
Annual
declared upstream
Last upstream update
2 years ago
2024-06-06
Temporal coverage
2020 → ongoing

License

No license declared upstream.

○ Documentation○ Data dictionary○ Versioning

Source: opendatasoft

Machine-readable & source

JSON
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