Noise Level Data: Examples, Providers & Datasets to Buy
- Overview
- Datasets
- Use Cases
- Attributes
- FAQ
- Overview
- Datasets
- Use Cases
- Attributes
- FAQ
What is Noise Level Data?
Noise level data refers to quantitative measurements of sound levels in indoor or outdoor environments. This data can be collected in real-time or historically using fixed sensors, mobile devices, or satellite-based sources. It helps determine exposure to environmental noise and enables authorities or businesses to mitigate its impact.
Noise level data is especially important in urban environments where transportation, construction, and industrial activity contribute to noise pollution. The data supports decisions around zoning, real estate development, infrastructure design, and health impact assessments.
What Are Examples of Noise Level Data?
Noise level datasets may include the following variables:
- Sound pressure levels (SPL) in dB(A), dB(C), or other scales
- Real-time noise readings at specific locations
- Daily, weekly, or hourly average noise levels
- Maximum and minimum sound levels recorded per time period
- Noise source classification (traffic, construction, aircraft, etc.)
- Geo-coordinates or zones (street, block, district, city)
- Weather correlations (wind, humidity, temperature)
- Acoustic frequency analysis
- Decibel fluctuations across time or location
Best Noise Level Databases & Datasets
Here is our curated selection of top Noise Level Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.
Large Language Model (LLM) Noise Level Data | Noise Complaints | CCPA, GDPR Compliant | 160k Data Points | 100% Traceable Consent
Purchase Intent Data | Contact Level Interest Data | 320M+ B2B & B2C Contacts | 21,000 Interest Categories | Daily Leads
Sound Level data to gauge foot traffic, popularity, ambiance and noise levels of venues
Venue Noise-Level Dataset for AI — Real Acoustic Profiles from 10M+ POI Measurements
POI Visit Attribution + NOISE MEASUREMENT | US Only | Mobility & Places Data | 100% Compliant and Privacy-Protecting
Alternative Data | Social Media-Based Insights on 800M+ Professionals & Companies for VC, Hedge Funds & Investment Analysis
AI Training Data | US Transcription Data| Unique Consumer Sentiment Data: Transcription of the calls to the companies
In-Cabin Speech Data | 15,000 Hours | AI Training Data | Speech Recognition Data | Audio Data |Natural Language Processing (NLP) Data
Environmental Urban Noise Level Data | 237 Countries Coverage | Granular & Hyper-local | 100% Opted-In Users | 100% Traceable Consent (Copy)
Scripted Monologues Speech Data | 65,000 Hours | Generative AI Audio Data| Speech Recognition Data | Machine Learning (ML) Data
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Popular Use Cases for Noise Level Data
Popular use cases for noise level data include:
- Urban Planning & Zoning: Identify high-noise zones and optimize city layouts, land use decisions, and residential planning.
- Smart Cities: Integrate noise sensors into smart infrastructure to monitor sound pollution in real time.
- Real Estate Valuation: Assess noise exposure near residential or commercial properties to influence pricing and development.
- Environmental Compliance: Monitor noise regulations near airports, factories, or highways to ensure public health standards.
- Public Health Research: Evaluate long-term exposure to noise and its correlation with stress, sleep disruption, or cardiovascular risk.
- Transportation Planning: Model traffic noise from roads, railways, and airports to improve transport designs and public safety.
Main Attributes of Noise Level Data
When buying noise level datasets, key fields often include:
- Location ID / Geo-coordinates
- Timestamp or measurement interval
- Average decibel reading
- Peak noise events (in dB)
- Noise source identifier
- Frequency range
- Ambient sound profile
- Compliance threshold markers
- Sensor ID or platform
- Noise zoning classification
| Attribute | Type | Description | Action |
|---|---|---|---|
| Float | The latitude of a point on earth's surface. Commonly abbreviated as "lat". | View 23 datasets | |
| Float | The longitude of a point on earth's surface. Commonly abbreviated as "long". | View 23 datasets | |
| String | The country code in Alpha-2 format (ISO 3166) | View 17 datasets | |
| String | The name of a point of interest (POI). | View 9 datasets | |
| String | The name of a city. | View 8 datasets | |
| String | The name of a country. | View 7 datasets |
Frequently Asked Questions
How is the Quality of Noise Level Data Maintained?
The quality of Noise Level Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.
How Frequently is Noise Level Data Updated?
The update frequency for Noise Level Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.
Is Noise Level Data Secure?
The security of Noise Level Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.
How is Noise Level Data Delivered?
Noise Level Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for Noise Level Data.
How Much Does Noise Level Data Cost?
The cost of Noise Level Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of Noise Level Data for your needs.
What Are Similar Data Types to Noise Level Data?
Noise Level Data is similar to other data types, such as Geological Data, Surface Data, NDVI Data, Waste Data, and Natural Disaster Data. These related categories are often used together for applications like Smart City.
