ethnicities 0.0.1

Easily return a list of ethnicities

Thought for a couple of seconds

# Ethnicities

A lightweight Python package providing lists of the world’s most common ethnicities, organized by region and frequency. All keys are normalized to snake_case (lowercase ASCII, words joined with underscores).

## Installation

```bash
pip install ethnicities

Usage

from ethnicities import all_ethnicities, common, by_region, common_and_by_region

# List all 100 normalized ethnicity names
print(all_ethnicities[:5])
# → ['nigerian', 'ethiopian', 'congolese', 'egyptian', 'south_african']

# Get the “common” subset (e.g. top 20 by global population)
print(common)

# Look up by world region
print(by_region['Europe'])
# → ['russian', 'german', 'french', …, 'icelandic']

# Combined filter: ethnicities that are both “common” and in a given region
print(common_and_by_region['Asia'])

API

• all_ethnicities List of all 100 normalized ethnicity identifiers.

• common Subset of all_ethnicities representing the top ~20 by global population.

• by_region Dictionary mapping region names (e.g. "Africa", "Asia", "Europe", etc.) to lists of normalized identifiers.

• common_and_by_region Dictionary mapping region names to the intersection of common and by_region[region].

Normalization Rules

• All identifiers are ASCII lowercase.
• Spaces, hyphens, and punctuation are replaced with underscores.
• No diacritics or non-English characters.

Example: “South African” → south_african

Contributing

1. Fork the repository
2. Add or update entries in data/… (YAML or JSON).
3. Run make build to regenerate all_ethnicities.py, by_region.py, etc.
4. Submit a pull request with tests and documentation updates.

License

Distributed under the MIT License. See LICENSE for details.

**Q1:** Would you like to include a code snippet demonstrating a reverse lookup (display name → normalized key)?  
**Q2:** Should we add a CLI command (e.g. `ethnicities validate`) to enforce normalization rules on new entries?  
**Q3:** Would embedding population metadata or external data-source links into the package enrich your use cases?