Rcrainfo Hazardous Waste Handlers List Data: Dataset Structure and Field Coverage

The handler universe splits by role, and each role has its own field. FED_WASTE_GENERATOR classifies generators (1 Large Quantity Generator, 2 Small Quantity Generator, 3 Conditionally Exempt, N not a generator, blank unverified), while OPERATING_TSDF marks operating treatment, storage and disposal sub-universes: L land disposal, I incinerator, B boiler/industrial furnace, S storage, T treatment, H solid waste management. Every record keys on ID_NUMBER, a state-prefixed handler code of 4-12 characters in which NN reserves space for Navajo Nation handlers.

That structure explains who actually uses this file. Sales teams prospecting compliance services start from the generator tiers; risk analysts screen TSDF designations near their sites; journalists trace enforcement histories; developers join the six CSVs into a facility-level panel refreshed weekly.

1. Fix the geography before filtering. Coverage is United States nationwide including tribal lands, with US-Mexico border proximity flags; coordinates arrive in FAC_LAT/FAC_LONG. State, county and ZIP columns let you cut territories without geocoding.

1. Filter by handler role. Select FED_WASTE_GENERATOR values 1-3 for generator prospects, or OPERATING_TSDF letters for disposal-facility screens. Keep blank generator values in a separate bucket - they mean unverified, not no.

1. Attach history per event. Join RCRA_VIOSNC_HISTORY.csv on ID_NUMBER and ACTIVITY_LOCATION for monthly status, then layer evaluations, violations and enforcements so counts stay reproducible.

Two documented limits bound the convenience: a 15-minute hard query cutoff and a ceiling of 100,000,000 records per query. Table names also differ from program acronyms - during verification the guess rcra.rcra_handler was rejected as not found - so confirm exact names in Envirofacts metadata before hard-coding them.

A raw handler list answers "who holds a RCRA ID". Three cataloged companions answer the questions buyers ask next:

1. Enforcement depth - the six CSVs themselves supply violations (VIOLATION_TYPE: Part 262 generators, 263 transporters, 264/265 TSDFs) and penalties (RCRA_PENALTIES, example 25000 dollars assessed). Five-year windows in the Exporter keep comparisons current.

1. Site contamination exposure - EPA Superfund data and reports (SEMS), quality score 7, publishes proposed, final and deleted NPL inventories with contaminants of concern, remedy components and GIS site boundary polygons across 27,201 document records. Joining handler coordinates to site boundaries flags handlers operating near cleanup sites. Read EPA's own limits first: the agency does not vouch for these data and states they are not intended for establishing liability.

1. Emissions exposure for waste-sector sites - EPA GHGRP data tracks roughly 8,000 reporting facilities per year across 32 industry types for reporting years 2010-2023, and landfills report under their own subparts: 2023 rows include Advanced Disposal Cranberry Creek Landfill LLC [1001845] in Wisconsin Rapids, WI at 915 metric tons CO2e. Parent-company ownership percentages ship in ghgp_data_parent_company.xlsb, useful when a handler chain rolls up to a corporate group.

Within Datadory's environmental facilities services slice, the RCRAInfo handler files anchor the US facility-registries family - the heaviest publisher here is the US EPA with four cataloged datasets spanning five program stores. Around them sit three other families: waste and recycling statistics, building energy benchmarking, and green-certification directories.

The statistics family aggregates where RCRAInfo enumerates. Eurostat's waste statistics cover EU-27 plus EFTA and candidate countries with municipal series back to 1995 through a JSON-stat/SDMX API, and the OECD municipal waste SDMX dataflow delivers generation, recovery and disposal indicators for 58 reference areas. Neither names an individual handler - that is precisely what the RCRA files add for the United States.