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 Average Noise-Level Dataset helps retailers, brand strategists, and consumer intelligence teams assess how noise environments impact customer experience and brand perception across thousands of commercial chains globally. Built from over 10 million real POI check-ins across 200+ countries, this dataset reveals how different brands operate in varied sound environments. Use this dataset to: • Analyze noise exposure at retail locations • Understand how acoustic environments influence customer satisfaction • Guide brand strategy and store placement decisions Delivered via CSV exports or S3 bucket. AI-driven noise analytics will soon enhance this dataset. Fully anonymized and GDPR-compliant.