SAMPLE Map Data Street Noise Levels | 180 Countries Coverage | CCPA, GDPR Compliant | 100% ...

Street Noise-Level — Statistically Interpolated + Processed Measurements

Connect with our experts for the world’s most comprehensive Street Noise-Level Dataset. Access hyper-local and global average noise levels (dBA) from public streets across over 180+ countries. This dataset, built using over 35 billion datapoints and developed in collaboration with leading acoustics professionals, provides unparalleled insight into real-world urban soundscapes. Unlike conventional noise models, which rely solely on simulations, our dataset combines real measurements with AI-powered interpolation to deliver statistically robust, highly accurate, and spatially complete noise-level data.

Power Your AI & Urban Analytics with Real-World Noise Insights

What makes this dataset unique? Silencio’s processed and interpolated Street Noise-Level Dataset is the largest and most precise global collection of acoustic data available. It integrates real user-collected measurements with AI-driven modeling, ensuring unmatched ground truth for AI training, urban intelligence, and noise-impact assessments.

Optimized for AI, Urban Planning & Research:

Empower your AI models and spatial analyses with rich, diverse, and realistic noise data. Ideal for sound recognition, smart cities, mobility modeling, noise mapping, real estate analysis, and sustainable urban planning.

Trusted & Compliant:

All data is collected via our mobile app, strictly anonymized, fully consented, and 100% GDPR-compliant — ensuring privacy and ethical integrity.

Historical & Up-to-Date:

Leverage both historical and continuously updated noise data to uncover trends, detect change, and power predictive models.

Hyper-Local & Global Coverage:

With coverage of over 180+ countries and high spatial granularity, the dataset provides insights from the city level down to street segments.

Seamless Integration:

Delivered via CSV exports or S3 bucket delivery (APIs coming soon) for easy integration into AI training pipelines, geospatial tools, or analytics platforms.