This map shows modeled outdoor noise across Clinton County at 100-meter resolution, combining road, aviation, and rail sources. Green areas measure below 45 dBA. Orange and red exceed the EPA's 55 dBA outdoor threshold linked to long-term health effects. Use the layer toggles to view each source on its own or all together.
What the numbers sound like
- 30 dBAWhisper
- 40 dBASoft rainfall
- 45 dBAQuiet suburban street at night
- 50 dBAQuiet office
- 55 dBAEPA outdoor threshold: light traffic 100 ft away
- 60 dBANormal conversation an arm's length away
- 65 dBABusy restaurant
- 70 dBAHighway traffic 50 ft away
- 80 dBACity bus interior
Population Above the EPA Outdoor Threshold
The EPA's 55 dBA outdoor reference level is a common benchmark for residential noise exposure, especially for activity interference, annoyance, and long-term community noise concerns. About 4,672 Clinton County residents, or 24.2%, live above that level. By land area, 28.5% of Clinton County is above 55 dBA.
See how noise in Clinton County compares to similar-sized counties.
Noise by Part of Clinton County
Average noise levels for Clinton County residents, grouped by direction from the center of Clinton County. Northern Clinton County carries the highest population-weighted average; Eastern Clinton County carries the lowest. Just 11% of residents in Eastern Clinton County live in blocks above the EPA's 55 dBA threshold, a third of the share in Northern Clinton County.
Eastern Clinton County
11% of people above 55 dBA
Northern Clinton County
35% of people above 55 dBA
Southern Clinton County
16% of people above 55 dBA
Western Clinton County
26% of people above 55 dBA
Northern Clinton County sounds about 38% louder than Eastern Clinton County to the human ear, a 4.6 dBA gap. Every 10 dBA roughly doubles perceived loudness. Within any of these directions, two homes a quarter mile apart can still differ by 10 or more dBA depending on how close they sit to a major highway.
Loudest Road Corridors
The model evaluates every road in Clinton County using federal traffic counts, posted speeds, heavy-truck ratios, and pavement type. The source level shown is the modeled noise at the road centerline, where it is loudest. Noise drops with distance, faster in vegetated areas and slower over open pavement.
How far back from I-35 do you need to be?
I-35 produces an estimated 76 dBA at its loudest centerline points. Noise drops logarithmically with distance, with the exact rate depending on what's between you and the road. Tree cover, walls, terrain, and pavement type all matter. At roughly a quarter mile back, traffic fades into the noise level of a quiet suburban street at night.
Calculated from the model's calibrated attenuation formula. About 17% of Clinton County sits under tree canopy (about average for counties) and roughly 14% is impervious surface like pavement and rooftops. Both are folded into the per-place decay rate above. Heavier canopy pulls noise down faster with distance; impervious surfaces slow the drop.
How Noise Is Distributed Across Clinton County
The bar chart below shows the share of Clinton County residents in each noise band. About 74% of residents live below the EPA's 55 dBA threshold, and roughly 6% live in blocks above 60 dBA. Long-term exposure in that range is linked to elevated stress hormones and cardiovascular risk.
How Clinton County Compares
Clinton County sits at the quieter end of the spectrum. Below: how Clinton County's average outdoor noise and share of residents above the EPA threshold compare with Ray County, DeKalb County, Andrew County, and Caldwell County.
Average noise level (dBA)
Clinton County's 50.4 dBA pop-weighted average is at the quieter end of the spectrum. Missouri as a whole averages 53.9 dBA and the U.S. averages 52.0 dBA. Both are lower than Clinton County because most of either area is rural land away from major roads.
Share of residents above 55 dBA
About 24.2% of Clinton County residents live in blocks where outdoor levels exceed the EPA's 55 dBA threshold. That's in the middle of its peer group. Measured by land area instead, 28.5% of Clinton County's footprint sits above 55 dBA, against a Missouri average of 32.5% and a national average of 28.1%.
What This Means if You're Moving to Clinton County
- Distance from highways matters more than the neighborhood name. Two homes in the same zip code can differ by 20 dBA if one sits 100 meters from I-35 and the other 500 meters away. The model captures this at 100-meter resolution, so noise exposure changes block by block.
- Tree canopy can help reduce modeled noise exposure. Roughly 17% of Clinton County is under tree cover (about average for counties), and the dominant land cover is low-intensity developed land. Both are measured from federal USDA Forest Service and USGS satellite imagery at 30-meter resolution. Streets with 60% or higher canopy show 3 to 5 dBA lower noise than comparable streets with bare ground or pavement, which is why the per-place decay rate above already accounts for it.
Sources & Methodology
The BestNeighborhood noise model is calibrated against nearly one million federal ground-truth measurements across four states. Road noise is computed from segment-level federal traffic data and propagated outward using physics-based acoustic decay, with attenuation rates that depend on the surrounding land cover.
Federal datasets used:
FHWA Highway Performance Monitoring System: road geometry, traffic counts, lane configuration
U.S. DoT Bureau of Transportation Statistics National Transportation Noise Map: aviation and rail noise, road calibration ground truth
USGS / MRLC National Land Cover Database: land cover and impervious surface coverage
USDA Forest Service Tree Canopy Cover: vegetation density for sound propagation
U.S. Census Bureau TIGER/Line: block-level geography and population
U.S. EPA Levels Document: 55 dBA outdoor reference level
All inputs are published federal datasets. Block-level noise is computed by combining road, rail, and aviation sound sources in the energy domain, the same physics used in professional environmental noise assessments. Read the full methodology.