Low PM2.5

Lower EPA annual PM2.5 concentration scores higher using county monitor summaries with fallback.

Scale0-100

Higher values rank better for this score.

How It's Calculated

The latest published score is normalized to a 0-100 scale. The method below explains what the score rewards, with technical source metadata available for audit.

1
Annual PM2.5 mean is inverse percentile-rank normalized over the full scored distribution.
2
Lower PM2.5 concentration scores higher.
3
County monitor data is preferred
4
missing county metrics fall back to state and then national averages with lower confidence.

Technical details

Score TypeMaster Score

Read from the current master score table for this criterion.

Ranking BasisSingle Score

The top 10 below ignore your blended relocation weights and sort only by Low PM2.5.

No source details available for this score.

What This Score Means

Low PM2.5 rewards places with lower annual fine particulate matter concentration.

Statistics Feeding This Score

Annual PM2.5 mean
EPA annual mean PM2.5 concentration in micrograms per cubic meter.
Source: EPA AirData
Monitor count
Number of county monitor rows contributing to the PM2.5 estimate.
Source: EPA AirData
Metric source level
Whether the PM2.5 value came from county, state, or national fallback data.
Source: EPA AirData

Source Data

Source: EPA AirDataEPA annual AQI by county and annual concentration by monitor files for PM2.5 and ozone.

Known Limits

EPA AirData is county and monitor based, not a parcel-level exposure model.
Counties without monitor data use state or national fallback values with lower confidence.
Annual summaries can miss neighborhood-scale roads, wildfire smoke episodes, indoor filtration, wind patterns, and short-term seasonal variation.

Top 10 Locations

Ranked by Low PM2.5.

Loading top locations...