Datasets · Pollution
Rail/metro/tram noise, already linked to every property.
Calculated average noise from railways (including metro and tram) at 4 metres above ground. The dataset is based on the noise situation in 2016 and covers railway lines with at least 30,000 train passages a year outside urban areas.
What the dataset contains
Rail/metro/tram noise in Placepoint
Calculated average noise from railways (including metro and tram) at 4 metres above ground. The dataset is based on the noise situation in 2016 and covers railway lines with at least 30,000 train passages a year outside urban areas. In urban areas, less busy lines are also covered. The figures are calculations, not measurements. Distributed by Miljødirektoratet.
For a developer near a railway or metro line, the same rules and principles apply as for road noise: buildings in a yellow or red noise zone under T-1442 require mitigation measures in the zoning plan. Part of Placepoint's map layers for noise. Related: Road noise, Noise mapping (T-1442).
This text is based on the dataset documentation, synced 16 October 2026.
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Calculated average road traffic noise at 4 metres above ground, from roads with at least 3 million vehicle passes per year (AADT 8,200+).
About the datasetNoise mapping (T-1442)
Noise warning maps under Guideline T-1442, the official guidance on handling noise in land-use planning.
About the datasetHow often is Rail/metro/tram noise updated?
Updated manually. The frequency follows the source and is shown on the dataset in Placepoint.
Where does the data come from?
From Miljødirektoratet. We collect the data, check its quality and link it to the correct property, with the source and date on every field.
How do I see Rail/metro/tram noise for a property?
Look up the address in Fusion and turn on the Pollution map layer. The dataset is there as a separate layer, and the details appear in the property panel when you click on the map.
Can I get the dataset programmatically?
Yes. The same data is available in Placepoint API and in Placepoint AI through MCP, so you can bring it into your own systems and agents.
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