Skip to main content

countrystatecity-countries

Official Python package for accessing comprehensive countries, states, and cities database with type hints and lazy loading.

PyPI Python Version License Type Checked countries countries

From offline prototype to production

This package provides a versioned offline snapshot. For regularly updated data, server-side search and filtering, field-selected responses, or managed availability and support, use the Country State City API.

Get a free API key · API docs · Pricing · Migration guide

Keep API keys in server-side environment variables, never in client-side code or source control.

Features

  • Type-safe with Pydantic models and mypy support
  • Lazy loading for minimal memory footprint
  • 250 countries with metadata
  • 5,308 states/provinces
  • 171,938 cities
  • 4,724 translations in 19 languages
  • Timezone data per location
  • Zero external dependencies (except Pydantic)
  • Full test coverage with pytest

Installation

pip install countrystatecity-countries

Quick Start

from countrystatecity_countries import (
    get_countries,
    get_country_by_code,
    get_states_of_country,
    get_cities_of_state,
)

# Get all countries (lightweight)
countries = get_countries()
print(f"Total countries: {len(countries)}")

# Get specific country
usa = get_country_by_code("US")
print(f"Country: {usa.name}")
print(f"Capital: {usa.capital}")
print(f"Currency: {usa.currency_symbol} {usa.currency_name}")

# Get states (lazy loaded)
states = get_states_of_country("US")
print(f"Total states: {len(states)}")

# Get cities (lazy loaded)
cities = get_cities_of_state("US", "CA")
print(f"Cities in California: {len(cities)}")

API Reference

Countries API

get_countries() -> List[Country]

Get all countries with basic metadata.

countries = get_countries()
for country in countries:
    print(f"{country.emoji} {country.name} ({country.iso2})")

get_country_by_code(country_code: str) -> Optional[Country]

Get country by ISO2 or ISO3 code.

usa = get_country_by_code("US")  # or "USA"
print(usa.name)  # "United States"

get_country_by_id(country_id: int) -> Optional[Country]

Get country by ID.

country = get_country_by_id(1)

search_countries(query: str) -> List[Country]

Search countries by name (case-insensitive).

results = search_countries("united")
# Returns: [United States, United Kingdom, United Arab Emirates]

get_countries_by_region(region: str) -> List[Country]

Get countries in a region.

asian_countries = get_countries_by_region("Asia")

get_countries_by_subregion(subregion: str) -> List[Country]

Get countries in a subregion.

countries = get_countries_by_subregion("Southern Asia")

States API

get_states_of_country(country_code: str) -> List[State]

Get all states in a country (lazy loaded).

states = get_states_of_country("US")

get_state_by_code(country_code: str, state_code: str) -> Optional[State]

Get specific state.

california = get_state_by_code("US", "CA")
print(california.name)  # "California"

search_states(country_code: str, query: str) -> List[State]

Search states within a country.

results = search_states("US", "New")
# Returns: [New York, New Jersey, New Mexico, New Hampshire]

Cities API

get_cities_of_state(country_code: str, state_code: str) -> List[City]

Get all cities in a state (lazy loaded).

cities = get_cities_of_state("US", "CA")

get_cities_of_country(country_code: str) -> List[City]

Get all cities in a country (warning: may return a large list).

cities = get_cities_of_country("US")

search_cities(country_code: str, state_code: Optional[str], query: str) -> List[City]

Search cities.

# Search within a state
results = search_cities("US", "CA", "Los")

# Search entire country
results = search_cities("US", None, "Springfield")

Data Models

Country

class Country(BaseModel):
    id: int
    name: str
    iso2: str
    iso3: str
    numeric_code: str
    phone_code: str
    capital: Optional[str]
    currency: Optional[str]
    currency_name: Optional[str]
    currency_symbol: Optional[str]
    tld: Optional[str]
    native: Optional[str]
    region: Optional[str]
    subregion: Optional[str]
    timezones: List[Dict[str, str]]
    translations: Dict[str, str]
    latitude: Optional[str]
    longitude: Optional[str]
    emoji: Optional[str]
    emojiU: Optional[str]

State

class State(BaseModel):
    id: int
    name: str
    country_id: int
    country_code: str
    state_code: str
    type: Optional[str]
    latitude: Optional[str]
    longitude: Optional[str]

City

class City(BaseModel):
    id: int
    name: str
    state_id: int
    state_code: str
    country_id: int
    country_code: str
    latitude: str
    longitude: str
    wikiDataId: Optional[str]

Examples

Flask Integration

from flask import Flask, jsonify
from countrystatecity_countries import get_countries, get_states_of_country

app = Flask(__name__)

@app.route('/api/countries')
def api_countries():
    countries = get_countries()
    return jsonify([c.dict() for c in countries])

@app.route('/api/countries/<code>/states')
def api_states(code: str):
    states = get_states_of_country(code.upper())
    return jsonify([s.dict() for s in states])

Django Integration

from countrystatecity_countries import get_countries

def get_country_choices():
    """Generate choices for Django ChoiceField."""
    countries = get_countries()
    return [(c.iso2, c.name) for c in countries]

# In your model
from django.db import models

class UserProfile(models.Model):
    country = models.CharField(
        max_length=2,
        choices=get_country_choices()
    )

Command Line Tool

#!/usr/bin/env python3
import sys
from countrystatecity_countries import get_country_by_code, get_states_of_country

def main():
    if len(sys.argv) < 2:
        print("Usage: python script.py <country_code>")
        sys.exit(1)
    
    country_code = sys.argv[1]
    country = get_country_by_code(country_code)
    
    if not country:
        print(f"Country {country_code} not found")
        sys.exit(1)
    
    print(f"\n{country.emoji} {country.name}")
    print(f"Capital: {country.capital}")
    print(f"Region: {country.region}")
    print(f"Currency: {country.currency_symbol} {country.currency_name}")
    
    states = get_states_of_country(country_code)
    print(f"\nTotal states/provinces: {len(states)}")

if __name__ == "__main__":
    main()

Performance

The package uses LRU caching and lazy loading for optimal performance:

  • Countries list: <50ms load time
  • States data: Loaded only when requested
  • Cities data: Loaded only when requested
  • Memory footprint: <10MB base, grows with usage

Development

Setup

# Clone the repository
git clone https://github.com/dr5hn/countrystatecity-pypi.git
cd countrystatecity-pypi/python/packages/countries

# Install dependencies
pip install -e ".[dev]"

Running Tests

# Run all tests
pytest

# Run with coverage
pytest --cov=countrystatecity_countries --cov-report=html

# Run specific test file
pytest tests/test_countries.py

Type Checking

mypy countrystatecity_countries/

Code Formatting

# Format code
black countrystatecity_countries/ tests/
isort countrystatecity_countries/ tests/

# Lint code
ruff countrystatecity_countries/ tests/

License

This package is licensed under the Open Database License (ODbL-1.0).

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/amazing-feature)
  3. Run tests (pytest)
  4. Commit your changes (git commit -m 'Add amazing feature')
  5. Push to the branch (git push origin feature/amazing-feature)
  6. Open a Pull Request

Support

Other Packages in this Ecosystem

Package Description
countrystatecity-timezones 432 IANA timezones with country associations and time conversion
countrystatecity-currencies 249 country/currency associations
countrystatecity-translations 4,724 translations in 19 languages
countrystatecity-phonecodes International phone/dialing codes for 250 countries
countrystatecity-regions Region and subregion associations for 250 countries
countrystatecity-postal-codes Postal/ZIP records for 125 countries

Data sourced from countries-states-cities-database.


Made with ❤️ by dr5hn

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

countrystatecity_countries-1.0.5.tar.gz (4.2 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

countrystatecity_countries-1.0.5-py3-none-any.whl (5.8 MB view details)

Uploaded Python 3

File details

Details for the file countrystatecity_countries-1.0.5.tar.gz.

File metadata

File hashes

Hashes for countrystatecity_countries-1.0.5.tar.gz
Algorithm Hash digest
SHA256 c19ebb99de15445cedfae8beb796d79caef5a968ef1a1be3fc825561f5e86335
MD5 0400904234031dee5684f447f0e8b822
BLAKE2b-256 439781792cfa5c1ab2ad4a1aed191d1ad562049b39179c96e01faec8a1cd5430

See more details on using hashes here.

File details

Details for the file countrystatecity_countries-1.0.5-py3-none-any.whl.

File metadata

File hashes

Hashes for countrystatecity_countries-1.0.5-py3-none-any.whl
Algorithm Hash digest
SHA256 9c76258508fb27bac92e2f08cd0eb0e2e8d018a6ae335b83a4291b48927b493f
MD5 68eeeb82117b86cbe28cff67b8196796
BLAKE2b-256 6c2b3f1ceb92c593c3c680bf02218f2150521e54bfb90072ecbc40c0239bffe8

See more details on using hashes here.

Release history Release notifications | RSS feed

This release

1.0.5 This release

2 files

1.0.4

2 files

1.0.3

2 files

1.0.2

2 files

1.0.0

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page