United States
Names and codes: GeoNames, CC BY 4.0 · Boundary: Natural Earth, public domain · Refresh date not recorded · Sources and licenses
Codes and identifiers
- ISO alpha-2
- US
- ISO alpha-3
- USA
- ISO numeric
- 840
- FIPS 10-4
- US
- GeoNames ID
- 6252001
Key facts
- Capital
- Washington
- Area
- 9,629,091 km²
- Population
- 327,167,434
- Currency
- Dollar (USD)
- Calling code
- +1
- Top-level domain
- .us
- Official languages
- en-US,es-US,haw,fr
Continent
- Name
- North America
- Code
- NA
- In this dataset
- 42 countries
Location
- Latitude
- 39.76
- Longitude
- -98.5
- Min latitude
- 18.906117143000074
- Min longitude
- -179.1435033839999
- Max latitude
- 71.41250234600005
- Max longitude
- 179.78093509200005
Boundary
The API call behind this page
Request
curl -H "X-API-Key: YOUR_KEY" \
"https://geosearch.dev/v1/countries/US?fields=iso_code,iso3_code,name,capital,population,area_sq_km,currency_code,continent_code"Response
{
"data": {
"area_sq_km": 9629091,
"capital": "Washington",
"continent_code": "NA",
"currency_code": "USD",
"iso3_code": "USA",
"iso_code": "US",
"name": "United States",
"population": 327167434
}
}Formatted for reading. The API returns the same JSON on one line.
Other endpoints for this country
/v1/countries/US/regions/v1/cities?country=US/v1/postal-codes?country=US/v1/timezones?country=US
Name in other languages
- Arabic
- الولايات المتحدة الأمريكية
- Chinese
- 美国
- English
- United States
- French
- États-Unis
- German
- Vereinigte Staaten
- Hindi
- संयुक्त राज्य अमेरिका
- Italian
- Stati Uniti
- Japanese
- アメリカ
- Korean
- 미국
- Portuguese
- EUA
- Russian
- США
- Spanish
- Estados Unidos
- Total language variants
- 137
The API returns any of them with ?lang=.
Time zones
| IANA ID | UTC offset | DST offset |
|---|---|---|
| America/Adak | UTC-10:00 | UTC-09:00 |
| America/Anchorage | UTC-09:00 | UTC-08:00 |
| America/Boise | UTC-07:00 | UTC-06:00 |
| America/Chicago | UTC-06:00 | UTC-05:00 |
| America/Denver | UTC-07:00 | UTC-06:00 |
| America/Detroit | UTC-05:00 | UTC-04:00 |
| America/Indiana/Indianapolis | UTC-05:00 | UTC-04:00 |
| America/Indiana/Knox | UTC-06:00 | UTC-05:00 |
| America/Indiana/Marengo | UTC-05:00 | UTC-04:00 |
| America/Indiana/Petersburg | UTC-05:00 | UTC-04:00 |
| America/Indiana/Tell_City | UTC-06:00 | UTC-05:00 |
| America/Indiana/Vevay | UTC-05:00 | UTC-04:00 |
| America/Indiana/Vincennes | UTC-05:00 | UTC-04:00 |
| America/Indiana/Winamac | UTC-05:00 | UTC-04:00 |
| America/Juneau | UTC-09:00 | UTC-08:00 |
| America/Kentucky/Louisville | UTC-05:00 | UTC-04:00 |
| America/Kentucky/Monticello | UTC-05:00 | UTC-04:00 |
| America/Los_Angeles | UTC-08:00 | UTC-07:00 |
| America/Menominee | UTC-06:00 | UTC-05:00 |
| America/Metlakatla | UTC-09:00 | UTC-08:00 |
| America/New_York | UTC-05:00 | UTC-04:00 |
| America/Nome | UTC-09:00 | UTC-08:00 |
| America/North_Dakota/Beulah | UTC-06:00 | UTC-05:00 |
| America/North_Dakota/Center | UTC-06:00 | UTC-05:00 |
| America/North_Dakota/New_Salem | UTC-06:00 | UTC-05:00 |
| America/Phoenix | UTC-07:00 | UTC-07:00 |
| America/Sitka | UTC-09:00 | UTC-08:00 |
| America/Yakutat | UTC-09:00 | UTC-08:00 |
| Pacific/Honolulu | UTC-10:00 | UTC-10:00 |
Postal code format
- Format
- #####-####
- Pattern
^\d{5}(-\d{4})?$
First-level administrative regions
- California
- Texas
- New York
- Florida
- Pennsylvania
- Illinois
- Ohio
- Georgia
- North Carolina
- Michigan
- Virginia
- New Jersey
- Washington
- Arizona
- Tennessee
- Massachusetts
- Indiana
- Maryland
- Missouri
- Wisconsin
- Colorado
- South Carolina
- Alabama
- Minnesota
24 of 51 shown, largest first
Largest cities
| City | Population |
|---|---|
| New York City | 8,804,190 |
| Los Angeles | 3,820,914 |
| Brooklyn | 2,736,074 |
| Chicago | 2,664,452 |
| Queens | 2,316,841 |
| Houston | 2,314,157 |
| Phoenix | 1,650,070 |
| Philadelphia | 1,573,916 |
| San Antonio | 1,526,656 |
| Manhattan | 1,487,536 |
Coverage in this dataset
- Cities
- 193,780
- First-level regions
- 51
- Postal codes
- 41,490
- Name languages
- 137
- Boundary polygon
- Yes
What GeoSearch holds for this country in the current dataset. Counts change with each refresh.
Query this data yourself
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