Wastewater Management Industry in the US
Wastewater Management Industry in the US
This dataset provides the most comprehensive view of wastewater treatment infrastructure and operations across the United States. Built to support strategic decision-making, it enables environmental services companies to identify growth opportunities, accelerate M&A strategies, advance sustainability and circular economy goals
Dataset Highlights
Facility Coverage:
- Captures data on 650,000+ wastewater treatment facilities, categorized into:
- 14,736 Publicly Owned Treatment Works (POTWs)
- 634,741 Captive Treatment Facilities (Industrial/Commercial)
- 227 Centralized Waste Treatment (CWT) Facilities
- 2,731 Biodigesters (Aerobic/Anaerobic)
Key Data Fields:
- Locational Data: Facility name, city, county, state, ZIP code, latitude, longitude
- Operational Metrics: Treatment type (primary, secondary, advanced), design capacity (m³/day), actual discharge volumes, and population served
- Biosolids Information: Estimated annual biosolids generated (in tons)
- Ownership details: Owner name, contact details
Advanced Analytics
- Market Assessment: Identify attractive segments and benchmark competitors
- Lead Prioritization: Algorithmic opportunity scoring based on custom criteria
- M&A Target Identification: Pinpoint underutilized, high-value, or strategically located assets
- Technology Assessment: Analyze suitability for process upgrades or sustainable tech retrofits
Use Cases
- Leads identification for wastewater treatment service providers
- Sales Pipeline development for wastewater technology, equipment, and services companies
- Private equity investment in wastewater infrastructure
Data Sources & Collection Methodology
- Sourced from federal, state, and local government databases, including:
- EPA records, state environmental agencies, and municipal utilities
- Public disclosures, infrastructure registries, and industry partnerships
Each record includes core identifiers such as city/county, facility name, treatment level, and population served. Supplemental attributes—e.g., discharge rate, biosolids generation, and geographic coordinates—enhance depth and usability.
Data Quality & Processing
Delivery State: Processed and ready for use in GIS, BI tools, and environmental modeling platforms.
- Processing Workflow Includes:
- Geospatial Indexing: Facilities mapped to coordinates and service areas
- Machine Learning: Imputation of missing values, anomaly detection, classification of treatment types
- Data Standardization: Harmonized schema ensures compatibility across systems
- Quality Scoring: Each record is scored based on completeness, source credibility, and update frequency
- Metadata Layering: Enables rapid filtering by geography, facility type, operational scale, and other dimensions
Wastewater Management Industry in the US