province

Province – high-performance Thai geography lookups

province is a tiny, zero-dependency TypeScript library that gives you instant, typed lookups for Thailand’s cities, districts, subdistricts, and postal codes in both Thai and English. It is designed for latency-sensitive services where every microsecond matters (address validation, autocomplete, form enrichment, ETL, fraud/risk checks).

Why this exists

Most Thailand geo helpers are either untyped, ship sparse datasets, or require network calls and iterative searches. province precomputes everything into lookup maps so you get deterministic, in-memory O(1) reads with fully typed results. The data is normalized, deduped, and packaged with no runtime dependencies.

How it differs

• Prebuilt lookup maps (zip, district, city) for constant-time reads.
• Thai and English locality names with locale-aware helpers.
• Fully typed return values for safer downstream handling.
• Zero dependencies and tree-shakeable ESM output.
• Includes raw lists (getCities, getDistricts, getZips) and the underlying maps when you need to iterate or cache.
• Ships with the full dataset (~20 MB uncompressed, ~1.2 MB compressed). You trade a slightly larger package for dramatically lower CPU and latency at runtime.

When to use it

• Server-side typeahead or autocomplete that needs to respond in microseconds.
• High-volume validation, enrichment, or scoring pipelines where you want predictable CPU usage.
• Moving address/geo lookups off the client and into a service layer without adding another datastore or network hop.

Install

npm install province

Quick start

import {
  getProvincesByZip,
  getProvincesByDistrict,
  getProvincesByCity,
  getCities,
  getDistricts,
  getZips,
} from 'province';

// Postal code lookup (O(1))
const byZip = getProvincesByZip(10200);

// District lookup in Thai (default locale)
const dusit = getProvincesByDistrict('ดุสิต');

// City lookup in English
const bangkok = getProvincesByCity('bangkok', 'en');

// Lists for select inputs or caching
const citiesTh = getCities();           // Thai by default
const districtsEn = getDistricts('en'); // English
const zips = getZips();

All lookups return arrays of Province:

type Province = {
  zip: number;
  subdistrict: string;
  subdistrict_th: string;
  district: string;
  district_th: string;
  district_zip: number;
  city: string;
  city_th: string;
};

API

• getProvincesByZip(zip: number | string): Province[]
• getProvincesByDistrict(district: string, locale?: 'en' | 'th'): Province[]
• getProvincesByCity(city: string, locale?: 'en' | 'th'): Province[]
• getCities(locale?: 'en' | 'th'): string[]
• getDistricts(locale?: 'en' | 'th'): string[]
• getZips(): number[]
• getZipMap(): Record<string, Province[]>
• getDistrictMap(locale?: 'en' | 'th'): Record<string, Province[]>
• getCityMap(locale?: 'en' | 'th'): Record<string, Province[]>

Performance

Benchmarks (vitest bench, local run):

✓ dist/__tests__/provinces.bench.js > provinces benchmarks 19953ms
    name                                    hz     min     max    mean     p75     p99    p995    p999     rme   samples
  · getProvincesByZip            30,517,705.08  0.0000  3.5031  0.0000  0.0000  0.0000  0.0000  0.0001  ±2.21%  15258853
  · getProvincesByDistrict (th)  14,683,503.71  0.0000  0.0266  0.0001  0.0001  0.0001  0.0001  0.0002  ±0.06%   7341752
  · getProvincesByCity (th)      14,324,427.14  0.0000  0.0505  0.0001  0.0001  0.0001  0.0001  0.0002  ±0.08%   7162214
  · getCities (th)               39,487,357.05  0.0000  0.0286  0.0000  0.0000  0.0000  0.0000  0.0001  ±0.06%  19743679
  · getDistricts (th)            39,152,470.00  0.0000  0.1143  0.0000  0.0000  0.0000  0.0000  0.0001  ±0.09%  19576235
  · getZips                      38,768,475.15  0.0000  0.2333  0.0000  0.0000  0.0000  0.0000  0.0001  ±0.13%  19384238

All operations are in-memory and constant-time thanks to precomputed maps; no network calls or iterative scans.

Demo / data test page

Try lookups at https://postcode.in.th for a quick, public reference when validating results.

Data source

The dataset is embedded in the package as precomputed TypeScript maps with Thai and English names. Releases ship with the data already built; no network fetches or post-install steps are required.

Contributing

Corrections, improvements, and additional test cases are welcome. If you spot any mistakes in the data or behavior, please open a pull request—PRs are encouraged and appreciated.

License

MIT