START_UTC_TIMESTAMP	END_UTC_TIMESTAMP	MIN_DB_VALUE	MAX_DB_VALUE	AVG_DB_VALUE	VENUE_NAME	VENUE_TYPE	VENUE_SUBTYPE	CONVERSATION	OCCUPANCE	PLACE	VENUE_PLACE	VENUE_QA	DEVICE_TYPE	COUNTRY	STATE	CITY	POSTCODE	STARTLAT	STARTLONG
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Request Sample Access

Attribute	Type	Example
START_UTC_TIMESTAMP	String	1743617417546
END_UTC_TIMESTAMP	String	1743617438990
MIN_DB_VALUE	Float	63.60825348
MAX_DB_VALUE	Float	73.12963104
AVG_DB_VALUE	Float	66.85712992
VENUE_NAME	String	Paris Baguette
VENUE_TYPE	String	commercial
VENUE_SUBTYPE	String	food_and_drink
CONVERSATION	String	moderate
OCCUPANCE	String	medium
PLACE	String	outside
VENUE_PLACE	String	{"placeId":"519104e10a287e52c0599ad9b743c3654440f00103f9012f1c72b80100000092030e5061726973204261677565747465","venueLocation":{"coordinates":[-73.971194,40.7950215],"type":"Point"},"venueName":"Par...
VENUE_QA	String	{"conversation":"moderate","occupance":"medium","place":"outside"}
DEVICE_TYPE	String	android
COUNTRY	String	United States
STATE	String	New York
CITY	String	New York
POSTCODE	Integer	10025
STARTLAT	Float	40.7950215
STARTLONG	Float	-73.971194

Description

Silencio’s POI Noise-Level Dataset provides noise profiles segmented by business type, such as restaurants, gyms, nightlife, offices, and more, based on over 10 million POI check-ins worldwide. This dataset enables competitor benchmarking and market analysis by revealing how different types of businesses operate within diverse acoustic environments. Use this dataset to: • Benchmark competitors based on environmental soundscapes • Analyze customer experience factors linked to noise levels (i.e. how easy it is to have a conversation within the POI or how full the venue is). • Gain deeper insights into urban commercial environments Delivered via CSV or S3 bucket. AI-driven insights will soon expand this dataset’s capabilities. Fully anonymized and GDPR-compliant.