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EPA · Enforcement & Compliance History Online July 4, 2026

Who’s Polluting
Near You

Every refinery, power plant, sewage works, plating shop, and chemical plant in the country files paperwork with a regulator. ECHO is where the Environmental Protection Agency stitches that paperwork - air, water, hazardous waste, and drinking water - into one record you can look up. This is a reading of how that record is built, what “significant noncompliance” actually means, and the landmark cases that set the price of getting caught.

Significant Noncompliance, State by State

I. Near You Live ECHO Exporter

Here is the map the title promises. Each state is shaded by its significant-noncompliance density - the number of facilities currently flagged in significant noncompliance for every 1,000 regulated facilities and permits on record there. It is a rate, not a raw count, so a small state with a concentrated problem is not hidden behind Texas or California. Nationally the rate runs about 6.2 per 1,000; the darkest states below sit well above that.

Alabama: 7.7 in SNC per 1,000 regulated (440 of 57,370) Alaska: 8.7 in SNC per 1,000 regulated (133 of 15,378) Arizona: 2.4 in SNC per 1,000 regulated (58 of 24,073) Colorado: 6.2 in SNC per 1,000 regulated (490 of 79,141) Florida: 0.9 in SNC per 1,000 regulated (156 of 165,856) Georgia: 3.8 in SNC per 1,000 regulated (656 of 172,083) Indiana: 7.4 in SNC per 1,000 regulated (425 of 57,728) Kansas: 2.8 in SNC per 1,000 regulated (118 of 42,834) Maine: 1.5 in SNC per 1,000 regulated (19 of 13,057) Massachusetts: 7.5 in SNC per 1,000 regulated (384 of 50,931) Minnesota: 1.1 in SNC per 1,000 regulated (80 of 72,895) New Jersey: 4.6 in SNC per 1,000 regulated (335 of 73,535) North Carolina: 2.1 in SNC per 1,000 regulated (139 of 66,040) North Dakota: 9.8 in SNC per 1,000 regulated (114 of 11,587) Oklahoma: 2.7 in SNC per 1,000 regulated (96 of 35,578) Pennsylvania: 7.6 in SNC per 1,000 regulated (758 of 99,844) South Dakota: 2.5 in SNC per 1,000 regulated (21 of 8,569) Texas: 4.5 in SNC per 1,000 regulated (763 of 168,688) Wyoming: 9.6 in SNC per 1,000 regulated (108 of 11,228) Connecticut: 12.0 in SNC per 1,000 regulated (300 of 24,947) Missouri: 11.7 in SNC per 1,000 regulated (710 of 60,887) West Virginia: 30.4 in SNC per 1,000 regulated (1,400 of 46,136) Illinois: 9.0 in SNC per 1,000 regulated (970 of 107,477) New Mexico: 9.1 in SNC per 1,000 regulated (252 of 27,579) Arkansas: 18.2 in SNC per 1,000 regulated (407 of 22,416) California: 1.0 in SNC per 1,000 regulated (658 of 639,117) Delaware: 3.0 in SNC per 1,000 regulated (13 of 4,352) District of Columbia: 38.6 in SNC per 1,000 regulated (152 of 3,936) Hawaii: 3.2 in SNC per 1,000 regulated (31 of 9,807) Iowa: 8.6 in SNC per 1,000 regulated (195 of 22,693) Kentucky: 11.1 in SNC per 1,000 regulated (443 of 40,033) Maryland: 13.5 in SNC per 1,000 regulated (531 of 39,366) Michigan: 8.2 in SNC per 1,000 regulated (536 of 65,762) Mississippi: 16.8 in SNC per 1,000 regulated (278 of 16,570) Montana: 7.3 in SNC per 1,000 regulated (156 of 21,233) New Hampshire: 2.5 in SNC per 1,000 regulated (72 of 28,216) New York: 3.1 in SNC per 1,000 regulated (502 of 159,802) Ohio: 6.6 in SNC per 1,000 regulated (474 of 71,609) Oregon: 3.3 in SNC per 1,000 regulated (83 of 24,881) Tennessee: 1.9 in SNC per 1,000 regulated (88 of 47,507) Utah: 1.2 in SNC per 1,000 regulated (56 of 47,556) Virginia: 7.3 in SNC per 1,000 regulated (355 of 48,685) Washington: 52.5 in SNC per 1,000 regulated (2,445 of 46,527) Wisconsin: 2.5 in SNC per 1,000 regulated (142 of 57,654) Nebraska: 6.8 in SNC per 1,000 regulated (98 of 14,511) South Carolina: 3.0 in SNC per 1,000 regulated (108 of 35,693) Idaho: 5.7 in SNC per 1,000 regulated (97 of 16,966) Nevada: 3.4 in SNC per 1,000 regulated (43 of 12,482) Vermont: 6.2 in SNC per 1,000 regulated (80 of 13,007) Louisiana: 28.6 in SNC per 1,000 regulated (2,096 of 73,242) Rhode Island: 3.5 in SNC per 1,000 regulated (36 of 10,205)
Shade encodes SNC facilities per 1,000 regulated facilities on record (FAC_STATE rollup, five quantile classes). Alaska and Hawaii are inset by the Albers USA projection; US territories fall outside its frame and appear only in the table.
Highest density
  1. 01 Washington 52.5 per 1k
  2. 02 District of Columbia 38.6 per 1k
  3. 03 West Virginia 30.4 per 1k
  4. 04 Louisiana 28.6 per 1k
  5. 05 Arkansas 18.2 per 1k
Every state, in a table
State Regulated In SNC Density (per 1k)
Washington WA 46,527 2,445 52.5
District of Columbia DC 3,936 152 38.6
West Virginia WV 46,136 1,400 30.4
Louisiana LA 73,242 2,096 28.6
Arkansas AR 22,416 407 18.2
Mississippi MS 16,570 278 16.8
Maryland MD 39,366 531 13.5
Connecticut CT 24,947 300 12.0
Missouri MO 60,887 710 11.7
Kentucky KY 40,033 443 11.1
North Dakota ND 11,587 114 9.8
Wyoming WY 11,228 108 9.6
New Mexico NM 27,579 252 9.1
Illinois IL 107,477 970 9.0
Alaska AK 15,378 133 8.7
Iowa IA 22,693 195 8.6
Michigan MI 65,762 536 8.2
Alabama AL 57,370 440 7.7
Pennsylvania PA 99,844 758 7.6
Massachusetts MA 50,931 384 7.5
Indiana IN 57,728 425 7.4
Montana MT 21,233 156 7.3
Virginia VA 48,685 355 7.3
Nebraska NE 14,511 98 6.8
Ohio OH 71,609 474 6.6
Colorado CO 79,141 490 6.2
Vermont VT 13,007 80 6.2
Idaho ID 16,966 97 5.7
New Jersey NJ 73,535 335 4.6
Texas TX 168,688 763 4.5
Georgia GA 172,083 656 3.8
Rhode Island RI 10,205 36 3.5
Nevada NV 12,482 43 3.4
Oregon OR 24,881 83 3.3
Hawaii HI 9,807 31 3.2
New York NY 159,802 502 3.1
South Carolina SC 35,693 108 3.0
Delaware DE 4,352 13 3.0
Kansas KS 42,834 118 2.8
Oklahoma OK 35,578 96 2.7
New Hampshire NH 28,216 72 2.5
Wisconsin WI 57,654 142 2.5
South Dakota SD 8,569 21 2.5
Arizona AZ 24,073 58 2.4
North Carolina NC 66,040 139 2.1
Tennessee TN 47,507 88 1.9
Maine ME 13,057 19 1.5
Utah UT 47,556 56 1.2
Minnesota MN 72,895 80 1.1
California CA 639,117 658 1.0
Florida FL 165,856 156 0.9

Real ECHO Exporter rollup, computed at build time. Density = facilities flagged in significant noncompliance (CWA SNC, CAA HPV, or RCRA SNC - the same union the Enforcement Gap funnel counts) per 1,000 regulated facilities and permits on record with that FAC_STATE. The denominator counts every ECHO record for the state, active or not, so density reads “how concentrated is significant noncompliance among the things EPA tracks here,” not a share of operating businesses. Totals shift with each weekly ECHO refresh - see Methodology.

The Four Systems

II. What ECHO Stitches Together

ECHO is not one database. It is a join across four separate federal programs, each with its own law, its own permits, and its own word for “you are in trouble.” A single refinery can appear in all four at once. The bars below count each program’s regulated universe from the latest live ECHO Exporter pull - read them as a weekly snapshot, since one facility can fall under more than one program.

  1. ICIS-AIR Clean Air Act ~266K

    Stationary sources of air emissions - refineries, power plants, factories, and other permitted emitters.

    flags noncompliance as High Priority Violator (HPV)
  2. ICIS-NPDES Clean Water Act ~1M

    Permitted dischargers to rivers, lakes, and coastal waters under National Pollutant Discharge Elimination System permits.

    flags noncompliance as Significant Noncompliance (SNC)
  3. RCRAInfo Resource Conservation & Recovery Act ~1.5M

    Hazardous-waste handlers - generators, transporters, and treatment / storage / disposal facilities.

    flags noncompliance as Significant Non-Complier (SNC)
  4. SDWIS Safe Drinking Water Act ~432K

    Public water systems - the utilities and small systems that deliver drinking water to the tap.

    flags noncompliance as Serious Violator
The four programs, in a table
System Law Regulated universe Scale (approx.) Noncompliance flag
ICIS-AIR Clean Air Act Stationary sources of air emissions - refineries, power plants, factories, and other permitted emitters. ~266K High Priority Violator (HPV)
ICIS-NPDES Clean Water Act Permitted dischargers to rivers, lakes, and coastal waters under National Pollutant Discharge Elimination System permits. ~1M Significant Noncompliance (SNC)
RCRAInfo Resource Conservation & Recovery Act Hazardous-waste handlers - generators, transporters, and treatment / storage / disposal facilities. ~1.5M Significant Non-Complier (SNC)
SDWIS Safe Drinking Water Act Public water systems - the utilities and small systems that deliver drinking water to the tap. ~432K Serious Violator

These are live ECHO Exporter counts of facilities flagged under each program (a single facility can be flagged under several). The drinking-water total counts every SDWIS-flagged record, well above the ~150,000 active public water systems. Totals shift with every weekly refresh - see Methodology.

The Compliance Ladder

III. From “Fine” to “In Court” Established EPA definitions

“Violation” is not one thing. A late monitoring report and a chronic discharge over the permit limit sit on very different rungs. Two of those rungs - Significant Noncompliance under the Clean Water Act and High Priority Violator under the Clean Air Act - are the specific tripwires that move a facility from routine paperwork to the enforcement docket.

  1. 01

    In compliance

    No open violations on record for the facility's permits and required reports.

  2. 02

    In violation

    One or more permit-limit exceedances, monitoring gaps, or late / missing reports - not yet serious enough to trip a formal noncompliance flag.

  3. 03

    Significant Noncompliance

    Clean Water Act

    EPA's SNC test flags violations serious enough to matter: exceeding a monthly-average limit by set magnitudes for Group I / II pollutants, or chronic violations that continue across quarters.

  4. 04

    High Priority Violator

    Clean Air Act

    The air-program analog to SNC: the most serious Clean Air Act violators, flagged for priority federal or state attention.

  5. 05

    Formal enforcement

    EPA or a state issues an administrative order, files suit, or enters a consent decree; penalties are assessed and a compliance schedule is set.

The ladder is deliberately simplified across programs; each of the four systems has its own exact statutory tests. The point of the diagram is the escalation, not a legal definition - see Methodology for sources.

Landmark Enforcement

IV. What Getting Caught Has Cost Published settlements · public record

These are not model numbers. Each is a real, published settlement between a named company and the U.S. government - the kind of case that resets what a violation is worth. They are the visible tip of the enforcement pyramid; the sections above and below are about everything underneath them.

The six span nearly 900x, from DuPont’s $16.5 million to Volkswagen’s $14.7 billion. To keep all of them legible, each penalty is plotted on a logarithmic dollar scale below - every gridline is 10x the last - so a dot’s position, not its distance from the edge, tells you the order of magnitude.

  1. 01
    Clean Air Act · 2016

    Volkswagen diesel fleet

    Volkswagen AG · Nationwide (imported vehicles)

    Defeat devices that cheated emissions tests on ~580,000 U.S. diesels.

    The October 2016 partial settlement totaled about $14.7 billion, including a $2.7 billion environmental mitigation trust and $2 billion for zero-emission-vehicle investment. A separate 2017 resolution added a $1.45 billion Clean Air Act and customs civil penalty on top of criminal fines.

    Source: U.S. DOJ / EPA / CARB consent decrees, 2016-2017

    $14.7 billion
    settlement / penalty
  2. 02
    Clean Water Act · 2015

    Deepwater Horizon / Macondo well

    BP Exploration & Production · Gulf of Mexico

    The largest Clean Water Act penalty in U.S. history.

    For the 2010 blowout that discharged millions of barrels of oil, BP agreed to a $5.5 billion Clean Water Act civil penalty - part of a record $20.8 billion global settlement with the United States and five Gulf states.

    Source: U.S. DOJ / EPA consent decree, 2015 (entered 2016)

    $5.5 billion
    settlement / penalty
  3. 03
    Superfund / hazardous waste · 2014

    Kerr-McGee legacy sites

    Anadarko Petroleum / Tronox · Nationwide (~2,700 sites)

    The largest recovery for the cleanup of environmental contamination.

    A fraudulent-transfer case over decades of Kerr-McGee wood-treatment, uranium, and chemical waste ended in a $5.15 billion settlement to fund cleanup and health claims across roughly 2,700 sites in dozens of states.

    Source: U.S. DOJ, April 2014

    $5.15 billion
    settlement / penalty
  4. 04
    Clean Water Act · 1991

    Prince William Sound spill

    Exxon (Exxon Valdez) · Alaska

    The settlement that reset the price of an oil spill.

    After the 1989 tanker grounding fouled 1,300 miles of Alaskan coastline, the 1991 settlement combined a $900 million civil recovery paid over ten years with $100 million in criminal restitution.

    Source: U.S. DOJ / EPA / State of Alaska settlement, 1991

    ~$1 billion
    settlement / penalty
  5. 05
    Clean Water Act · 2015

    Dan River coal-ash spill

    Duke Energy · North Carolina

    A pipe under a coal-ash pond let go into a drinking-water river.

    Duke Energy subsidiaries pleaded guilty to nine Clean Water Act violations across North Carolina plants and paid $102 million in fines, restitution, and community service after the 2014 Dan River release.

    Source: U.S. DOJ, 2015

    $102 million
    settlement / penalty
  6. 06
    Toxic Substances (TSCA) · 2005

    Washington Works (PFOA / C8)

    E.I. DuPont de Nemours · West Virginia

    The largest civil administrative penalty EPA had ever obtained, at the time.

    DuPont settled claims that it withheld health and environmental information about PFOA ("C8") used to make Teflon, paying a $10.25 million penalty plus $6.25 million in supplemental environmental projects.

    Source: EPA administrative settlement, 2005

    $16.5 million
    settlement / penalty

Industries in the Crosshairs

V. Which Program Bites Which Sector Program map real · rates pending live data

Different industries live under different programs. A cattle feedlot is almost purely a Clean Water Act story; a refinery answers to all four at once. This map shows which programs weigh on each sector - the enforcement surface - not how often each one is actually cited. The violation rates are the slot a live ECHO pull fills; the map itself is settled regulatory fact.

Sector Air Clean Air Act Water Clean Water Act Waste RCRA Toxics TSCA
Petroleum refining NAICS 324110 The rare facility that reports under all four programs at once. Air: primary Water: primary Waste: primary Toxics: secondary
Chemical manufacturing NAICS 325 Basic and specialty chemicals carry the widest toxics footprint. Air: primary Water: primary Waste: primary Toxics: primary
Fossil power generation NAICS 2211 Air is the headline; cooling-water intake and coal-ash residuals pull in water and waste. Air: primary Water: primary Waste: primary Toxics: not a primary concern
Metal finishing & plating NAICS 3328 Small shops, heavy metals - a classic Clean Water Act pretreatment concern. Air: secondary Water: primary Waste: primary Toxics: secondary
Pulp & paper mills NAICS 3221 Large water dischargers that also hold significant air permits. Air: primary Water: primary Waste: secondary Toxics: secondary
Animal feeding (CAFOs) NAICS 1121 / 1122 Concentrated animal feeding operations are regulated chiefly as Clean Water Act point sources. Air: secondary Water: primary Waste: secondary Toxics: not a primary concern
Mining & ore processing NAICS 2122 Acid mine drainage and tailings put water and waste in the foreground. Air: secondary Water: primary Waste: primary Toxics: secondary
Food & beverage processing NAICS 311 High-strength wastewater is the main compliance surface. Air: secondary Water: primary Waste: not a primary concern Toxics: not a primary concern
Primary Secondary Not a primary concern

The Enforcement Gap

VI. Violation Is Not Penalty Live ECHO Exporter counts

The distance between “in violation” and “paid a fine” is the whole story of environmental enforcement. The bars below are live counts from the latest ECHO Exporter. Of about 3.2 million regulated facilities, fewer than one in five carry an inspection on record, about 7% are in violation now, and just 0.6% are flagged for significant noncompliance. One caveat on the shape: the formal-action and penalty stages count cumulative enforcement history, while “in violation” and “significant noncompliance” are a current snapshot - which is why formal actions on record outnumber the facilities in significant noncompliance today.

  1. 01
    Regulated facilities 3,162,002 facilities
  2. 02
    With an inspection on record 563,249 facilities
  3. 03
    Found in violation 223,922 facilities
  4. 04
    Significant noncompliance 19,291 facilities
  5. 05
    Formal enforcement action 171,662 facilities
  6. 06
    Monetary penalty assessed 4,849 facilities

These are real ECHO Exporter counts, computed at build time from the program flags, and they still vary by program, year, and state. What is not in doubt, across every EPA, GAO, and independent review of the data, is the direction: formal enforcement and monetary penalties reach only a small fraction of the facilities found out of compliance - about 4,800 of the 3.2 million facilities carry a federal monetary penalty on record.

Methodology

VII. What’s Real, What’s Pending

This page is built to be honest about where every figure comes from. The program-universe counts and the enforcement funnel are computed from a live ECHO Exporter pull - about 3.2 million facility records - while the framework, definitions, landmark settlements, and sector map are established public record. What is not yet wired is the per-facility “near you” data: the state and compare pages still carry placeholder slots. The source of record is the EPA’s Enforcement and Compliance History Online (echo.epa.gov), and every component reads the same data shape, so a refreshed pull drops straight in.

What is real

  • The four program systems and what each regulates - ICIS-AIR (Clean Air Act), ICIS-NPDES (Clean Water Act), RCRAInfo (hazardous waste), and SDWIS (drinking water). ECHO genuinely integrates these separate systems keyed on a facility registry ID.
  • The compliance ladder - “Significant Noncompliance,” “High Priority Violator,” and the formal-enforcement rung are real, defined EPA terms.
  • The landmark settlements - every case in section III is a real, published resolution between a named company and the U.S. government, cited to the DOJ or EPA announcement. Figures are the headline settlement totals as reported.
  • The sector map - which programs weigh on which industries is established regulatory fact.
  • The program-universe counts and the enforcement funnel (sections I and V) are computed at build time from a live ECHO Exporter pull - about 3.2 million facility rows - counting each program’s flags, current significant-noncompliance, inspections, formal actions, and penalties. Formal-action and penalty figures are cumulative enforcement history; violation and significant-noncompliance are a current snapshot, so the two are not strictly nested.

What is not yet live

  • The per-facility “near you” data - the state and compare pages carry placeholder facility slots, badged as such. The Facility shape is ready in source.ts for a follow-up pull that lists real facilities by state and compares any two.

What “significant noncompliance” means

Under the Clean Water Act, SNC is a specific test: a facility is in significant noncompliance when it exceeds a monthly-average permit limit by defined magnitudes (larger for “Group I” pollutants, smaller for the more dangerous “Group II”), or when violations are chronic across reporting quarters. The Clean Air Act uses a parallel concept, the High Priority Violator. RCRA flags a Significant Non-Complier. They are related ideas with distinct statutory tests - which is exactly why joining the four programs is hard, and why a facility’s “status” depends on which program you ask.

The joined-source problem

ECHO’s value and its difficulty are the same thing: it merges four databases that were never designed to talk to each other. A company can be one legal entity, several permits, and many facility records across ICIS-NPDES, ICIS-AIR, RCRAInfo, and SDWIS. EPA’s Facility Registry Service is the key that ties them together, and it is imperfect - the same plant can appear under variant names and IDs. Any ranking of “the worst facilities” inherits that entity-resolution uncertainty.

Going live

The swap point is src/lib/source.ts, which reads the real ECHO_EXPORTER.csv flat file (one row per facility, already integrating the four programs). scripts/build-data.ts computes the program counts and the enforcement funnel from those rows and patches them into this file - which is what produced the live figures above. See HANDOFF.md for the exact fetch steps.


Snapshot generated 2026-07-04. Source of record: U.S. Environmental Protection Agency · Enforcement and Compliance History Online (ECHO). Landmark case figures: U.S. Department of Justice and EPA enforcement announcements, as cited per case.