Data cluster

Thailand Tourist Police Data.

Tourist Police 1155 help channels, tourist-police app context, multilingual support, and station-access layers for Thailand visitor safety pages.

2 sources Updated 2026-05-11 Download JSON

Best use for travel intelligence

For travel decisions, Tourist Police data matters when a visitor needs multilingual help, translation support, a tourist-specific reporting channel, or a safer first contact than an unfamiliar local station.

What this changes for travelers

  • 1155 and multilingual help: Gives visitors a more realistic first contact for assistance, translation, and tourist-specific reporting.
  • Tourist-police app context: Explains what the app is useful for without pretending the underlying operations are public.
  • Station and advisory context: Useful for city and destination pages that need traveler-facing safety language rather than legal-office detail.

Best sources to start with

  • Best official tourist-help source: Tourist Police Bureau for hotline 1155, station contact, and public help channels.
  • Best app-context source: Thailand Tourist Police app pages for live chat, translation, alerts, and app-supported help context without claiming a public API.
  • Best station and location supplement: GDC police-station datasets and OSM emergency POIs where a tourist-police office or nearby police access point needs coordinates.
  • Best developer starting point: Treat hotline, app, station access, and advisory content as public layers, and keep operational incident workflows private.
Official / agency sources

1 of 2 sources look official or agency-backed.

API/feed candidates

1 sources expose API, feed, CKAN/DataStore, JSON, XML, or similar machine-readable access.

Near-real-time signals

0 sources have live, hourly, event-driven, warning, or frequent update language.

Developer note

Model hotline, app, station access, and advisory functions separately, and assume operational incident handling inside the app is private.

Last checked and source confidence

Last checked: 2026-05-11.

Source confidence: This cluster is strongest when several sources describe the same traveler problem from different angles: official context, machine-readable feeds, and slower fallback documentation.