CHATTER is a tool that shows how air pollution levels change over time and what those changes could mean for people’s health. This edition covers the state of Louisiana: the sixteen Louisiana Department of Environmental Quality (LDEQ) monitoring sites across the state that measure hazardous air pollutants with 24-hour canisters — from the New Orleans area through the industrial river corridor to the Baton Rouge area, Lake Charles, Shreveport and Monroe — and the LDEQ regulatory monitors for the common EPA criteria pollutants, grouped by parish. Companion dashboards for individual key locations, such as the New Orleans area, will follow. While air pollution affects everyone, communities nearer industrial sources experience higher levels of hazardous air pollutants and the associated human health risk than those that are not.
CHATTER helps determine whether air pollution levels measured at local monitors may be high enough to affect human health and whether additional action may be needed to reduce exposures. Screening levels are air pollution concentrations or thresholds that scientists use to identify when long-term exposure may increase the risk of health problems. Exceeding a screening level does not mean health effects will occur, it indicates a need to take additional steps like verifying measurements or taking pollution reduction actions to protect health.
The health risks CHATTER show apply to a resident living in the area breathing air pollution for a long time.
CHATTER displays three groups of air pollutants that are monitored in Louisiana:
The first two groups are of greater concern to communities living near industrial areas, where hazardous air pollutants are released. The third group consists of widespread pollutants found throughout the United States.
The hazardous air pollutants in the first two groups are measured by LDEQ with 24-hour canister samples taken every sixth day and analyzed in a laboratory, and are reported to EPA. That is different from the continuous hourly monitors used in some other CHATTER communities, so each yearly value here rests on about sixty samples rather than thousands of hourly readings; the tracker shows how many samples stand behind each value and marks the ones that rest on thinner data.
A reference map is included indicating the locations of the monitors. Figures in CHATTER reports are based on air monitoring data from these locations. If you are interested in better understanding potential sources of air pollution at these locations, visit EDF’s AirTracker tool.
For more on definitions or how air monitors work, what a screening level is, how EPA sets them, and which statistics CHATTER uses, see the Frequently Asked Questions. Where the data come from, how each number is calculated, and a downloadable file of every value on this site are on the Data & Methods tab.
The figures below are heat maps. Each figure shows changes in air pollution-related health risks at an air monitor location. Each row shows an air pollutant or a health effect, each column is a period of time, and the number in each square is the level measured at the location divided by the health-based limit, written as a multiple with an “x.” 1.0x means the level sits exactly at the limit; 0.5x is half the limit; 3.0x is three times the limit. The color legend beside each plot shows what those multiples mean. The darker the color the greater the value.
Two marks tell you when a number rests on thinner ground. A number followed by an asterisk (for example 1.72x*) means that between 60% and 75% of the scheduled samples for that period were available; periods with less than 60% are left blank rather than shown. A number preceded by a double asterisk (for example **1.20x) means that most of the samples behind it were below the laboratory’s detection limit. Such samples are counted at half the detection limit, so the number is set by the laboratory’s detection limit rather than by the air. It is not an upper bound — the true level could be anything from near zero up to the detection limit, so the value is uncertain and says more about the detection limit than about the air.
Cancer Risk Pollutants compares each pollutant against the Screening Level, one card per monitor. For example, acrylonitrile at Kenner in 2024 reads 6.14x — about six times the screening level, in the band covering five to ten times the screening level. Benzene at the same site and year reads 0.91x, just under its screening level. The bottom row combines the pollutants into a total; Kenner’s 2024 total is 11.91x.
Other Health Risk Pollutants shows one plot per health effect, comparing pollutants against the screening level. Most values here sit well below 1.0x and appear in the palest shade. Seven of the pollutants new to this edition (acrylonitrile, carbon tetrachloride, chloroform, 1,2-dichloroethane, p-dichlorobenzene, trichloroethylene and vinyl chloride) have not yet been assigned a health effect and are grouped under Health effect not yet assigned.
EPA Criteria Pollutants works differently: it compares the EPA design value against the National Ambient Air Quality Standard rather than a screening level, and it covers the LDEQ regulatory monitors across Louisiana, one card per monitor, grouped by parish. A design value is a number calculated from air monitoring data that represents pollution levels in an area and is used to determine whether the area meets an air quality standard. Below 1.0x is within the standard.
A fuller explanation is in the Frequently Asked Questions, and each group’s own tab has a worked example.

Numbered circles: LDEQ canister sites (cancer-risk and other-health-risk pollutants). Green diamonds: EPA criteria-pollutant sites. The static map is generated by scripts/make_monitor_map.py from DATA/site_locations.csv.
One heatmap per monitor. Each row is a cancer risk pollutant with the cancer type it is associated with, and each cell is the measured average level divided by the Screening Level. The bottom row combines the pollutants into a total. A value below 1.00x is below the screening level; above 1.00x means the level exceeds it. A value preceded by a double asterisk (**) rests mostly on samples below the laboratory detection limit, so it is uncertain — the true level could be anywhere from near zero up to the detection limit, not an upper bound.
To see these pollutants broken out by location on their own page, visit Cancer Risk by Location.
One heatmap per monitor. Each row is a part of the body targeted by the pollutant and each cell is the total for that effect: the levels of every pollutant affecting that body system, added together and divided by the screening level. A screening level is the concentration at or below which EPA does not expect health effects. The (n=) beside each effect is the total number of pollutants considered in the calculation. Pollutants whose health-effect assignment is still pending are grouped under Health effect not yet assigned.
To see the pollutants one by one, visit Other Health Risks by Pollutants and Location. To see which individual pollutants drive each health effect, visit Other Health Risks by Health Indicator.
The Clean Air Act identifies 6 air pollutants that pose the greatest health risks. They are known as criteria pollutants. This section tracks four EPA criteria pollutants — sulfur dioxide (SO₂), nitrogen dioxide (NO₂), ozone (O₃), and fine particle pollution (PM2.5) — measured at the LDEQ regulatory monitors across Louisiana that report to EPA’s Air Quality System, summarized here as one card per parish. Design values are specific to a monitor, so where a parish has more than one, each pollutant row on its card is taken whole from the monitor with the highest value in the Last Available Month column, and the row label names that monitor; the EPA Criteria Pollutants tab shows every monitor separately. The EPA uses air monitoring data to determine if pollution levels meet the Clean Air Act requirements. They make these decisions based on a number representing all the measurements over a year taken at an air monitor. This number is called a Design Value. In the figure, each cell shows the EPA Design Value for that pollutant divided by the corresponding National Ambient Air Quality Standard (NAAQS). A value below 1.0 means the design value is within the standard; values above 1.0 indicate the yearly average is greater than the Clean Air Act (NAAQS) standard and poses an increased health risk.
Design values are computed using the same statistics EPA uses to determine if air pollution levels in the region are meeting the criteria set by the Clean Air Act:
| Pollutant | NAAQS | Design Value Method |
|---|---|---|
| SO₂ | 75 ppb (1-hour) | 99th percentile of daily 1-hr maximum concentrations |
| NO₂ | 100 ppb (1-hour) | 98th percentile of daily 1-hr maximum concentrations |
| O₃ | 0.070 ppm (8-hour) | 4th-highest daily maximum 8-hr average concentration |
| PM2.5 | 9 µg/m³ (1-year) | Mean or average |
For the yearly columns, each value represents a single-year design value ratio. The criteria monitors report continuously and their data reach EPA’s database within weeks, while the canister results behind the other two groups arrive months later, so this group runs to a later date than the cancer-risk and other-health-risk tabs and can show more recent years. The three moving-window columns say, on a second line of their heading, which month their data actually ends in: “YTD (through …)” covers January 1 to the last available day; “Last 365 Days (ending …)” is the 365 days ending on the last available day; and “Last Available Month” is that final month by itself. All three use the same design value methodology.