Data cluster

Thailand Noise Monitor Stations.

PCD station readings, station metadata, and historical Leq station archives for ambient-noise monitoring in Thailand.

3 sources Updated 2026-05-11 Download JSON

Best use for travel intelligence

For travel decisions, noise-monitor station pages help show whether a place has official ambient-noise evidence nearby, how noisy that station has been, and how much uncertainty remains between the station and the actual room or street.

What this changes for travelers

  • Official stations: Show where real ambient-noise monitoring exists and what those stations have seen recently.
  • Historical Leq: Useful for checking whether a noisy road, district, or neighborhood stays loud over time.
  • Station gaps: The absence of a station is itself important because many hotel or neighborhood pages will need lower confidence.

Best sources to start with

  • Best current station source: PCD Noise4Thai for official station snapshots, hourly values, and area-type context.
  • Best historical archive: PCD noise monitor CSV for daily Leq station history and year-over-year comparisons.
  • Best open mapping supplement: OSM noise monitoring stations for geospatial enrichment when station coordinates or nearby source context need map support.
  • Best developer starting point: Keep Leq 24hr, hourly Leq, Lmin, Lmax, and L90 as separate metrics with explicit timestamps and preliminary flags.
Official / agency sources

2 of 3 sources look official or agency-backed.

API/feed candidates

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

Near-real-time signals

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

Developer note

Store station metadata, metric type, observation time, and preliminary-flag status separately, and do not confuse station history with a full neighborhood noise map.

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.