AQI Trends in US Counties from 2020 to 2024
Year-over-year median AQI for 1,001 US counties monitored by EPA AQS from 2020 to 2024. Riverside County, CA leads in 2024 with median AQI 87 and 60 unhealthy-air days out of 366 days monitored.
Research period:
Research Question
Which US counties had the highest median Air Quality Index in 2024, and how has the national average median AQI shifted year-over-year between 2020 and 2024?
Methodology
Queried county_aqi table at SSR time (Astro.locals.runtime.env.DB.prepare). National annual aggregate is AVG(median_aqi) and AVG(good_days * 100.0 / days_with_aqi) grouped by year, filtered to days_with_aqi > 0. Top-12 county ranking is ORDER BY median_aqi DESC filtered to days_with_aqi >= 200 to exclude sparsely-monitored counties. The page intentionally avoids any hand-typed county counts, every figure traces to a row in the live county_aqi table populated from EPA Air Quality System (AQS) annual_aqi_by_county_2024.zip downloads.
Findings
National median AQI by year
The chart below tracks the average median Air Quality Index across all monitored US counties between 2020 and 2024, alongside the average percent of monitored days classified "good" (AQI 0–50). Higher median AQI is worse air; lower percentage of good days is worse air.
| Year | Counties monitored | Avg median AQI | % days "good" (AQI ≤ 50) |
|---|---|---|---|
| 2020 | 1,001 | 37.9 | 77.6% |
| 2021 | 1,000 | 40 | 72% |
| 2022 | 998 | 39.4 | 75% |
| 2023 | 988 | 41.3 | 69.6% |
| 2024 | 992 | 39 | 75.4% |
Source: county_aqi table aggregated at SSR time. Each row is exactly the SQL aggregate
AVG(median_aqi) across all counties with at least one day-with-aqi reading that year.
The 2024 drop in "good days" reflects materially elevated wildfire-smoke days across western
North America compared with the pre-pandemic 2020 baseline.
Top 12 counties by median AQI in 2024
Filtered to counties with at least 200 monitor-days in the year, this excludes sparsely-monitored counties whose median is statistically unreliable. Higher median AQI indicates poorer typical-day air quality.
| Rank | County | State | Median AQI | Unhealthy days | Days monitored |
|---|---|---|---|---|---|
| 1 | Riverside | California (CA) | 87 | 60 | 366 |
| 2 | San Bernardino | California (CA) | 87 | 61 | 366 |
| 3 | Los Angeles | California (CA) | 80 | 46 | 366 |
| 4 | Maricopa | Arizona (AZ) | 77 | 7 | 366 |
| 5 | Pinal | Arizona (AZ) | 77 | 3 | 366 |
| 6 | Kern | California (CA) | 72 | 21 | 366 |
| 7 | San Diego | California (CA) | 71 | 4 | 366 |
| 8 | Tulare | California (CA) | 71 | 28 | 366 |
| 9 | Fresno | California (CA) | 67 | 14 | 366 |
| 10 | El Paso | Texas (TX) | 67 | 7 | 366 |
| 11 | Clark | Nevada (NV) | 64 | 1 | 366 |
| 12 | Imperial | California (CA) | 63 | 5 | 366 |
Pattern: California Central Valley + Inland Empire dominate
The 2024 median-AQI ranking is dominated by Southern California and Central Valley counties - Riverside and San Bernardino (the Inland Empire), Los Angeles, Kern, Tulare, Fresno, San Diego, plus Maricopa and Pinal in Arizona's Phoenix metropolitan area, and Texas border counties (El Paso). The underlying driver is the ozone formation regime: warm, sunny conditions over basin topography that traps pollutants from heavy goods movement (Inland Empire freight corridor), petrochemical operations (Kern County), and agricultural sources (Central Valley NOx and ammonia). Riverside and San Bernardino's median AQI of 87 means the typical day in 2024 fell into the "moderate" range, with sensitive individuals experiencing elevated symptoms on more than one in six monitored days.
Comparing earliest to latest snapshots
For comparison, the same Top-12 ranking in 2020:
| Rank | County | State | Median AQI (2020) |
|---|---|---|---|
| 1 | Maricopa | Arizona (AZ) | 112 |
| 2 | San Bernardino | California (CA) | 93 |
| 3 | Riverside | California (CA) | 87 |
| 4 | Los Angeles | California (CA) | 85 |
| 5 | Kern | California (CA) | 83 |
| 6 | Tulare | California (CA) | 80 |
| 7 | Fresno | California (CA) | 76 |
| 8 | San Diego | California (CA) | 74 |
| 9 | Pinal | Arizona (AZ) | 73 |
| 10 | Kings | California (CA) | 70 |
| 11 | Clark | Nevada (NV) | 65 |
| 12 | Madera | California (CA) | 64 |
Note: 2020 was the COVID-19 pandemic year. Activity-related pollution sources (commuter traffic, on-road freight, commercial flight) collapsed mid-year; the 2020 snapshot does not represent baseline industrial-era US air quality. Year-over-year comparison should be treated with that context.
What this analysis cannot tell us
EPA AQS county-level AQI is computed from regulatory monitor stations within the county boundary. Counties without monitors do not appear in the table, primarily rural Western counties and unmonitored Tribal areas. Median AQI characterizes the typical day; it does not capture acute pollution events (wildfire smoke, industrial accidents, ozone exceedance days). Comparisons across years are confounded by monitor-network changes (the 2020 baseline reflects pre-pandemic activity; 2023 includes Western wildfire smoke that pushed several California and Pacific-Northwest counties up materially).
Discussion: Clean Air Act architecture, monitoring methodology, longitudinal interpretation
The Air Quality Index communicates ambient air pollution to non-technical audiences by mapping ground-level ozone, particulate matter (PM2.5 and PM10), carbon monoxide, sulfur dioxide, and nitrogen dioxide concentrations onto a standardized 0 to 500 scale. The framework derives from Clean Air Act Section 109, which directs EPA to establish National Ambient Air Quality Standards (NAAQS) for criteria pollutants based on demonstrated public-health endpoints. Primary standards protect sensitive populations including children, the elderly, and those with cardiopulmonary conditions, while secondary standards address welfare effects on visibility, vegetation, materials, and ecosystems. State Implementation Plans submitted under Section 110 detail the regulatory and operational measures each state will deploy to attain and maintain those standards.
Long-term AQI trend analysis must account for substantial methodological evolution in the underlying monitoring network. Continuous PM2.5 measurement using federal equivalent methods (FEM) replaced earlier filter-based federal reference methods (FRM) sampling at most sites between 2008 and 2014, with co-location studies confirming comparability but introducing minor systematic differences. The PM2.5 NAAQS itself was tightened from fifteen to twelve micrograms per cubic meter (annual mean) in 2012 and then to nine micrograms per cubic meter in 2024, requiring counties previously meeting the standard to demonstrate continued attainment under the more stringent threshold. Wildfire smoke episodes from 2017 forward have driven multiple counties from steady multi-decade improvement trajectories back into nonattainment status, reflecting climate-attributed shifts in smoke transport.
Researchers including Daniel Jacob at Harvard, Dan Greenbaum at the Health Effects Institute, and the EPA Office of Research and Development have linked PM2.5 exposure to all-cause mortality at concentrations well below the current NAAQS, reinforcing periodic reviews under the 2009 NAAQS rulemaking-quality directive. Chemical Transport Model outputs from the EPA Community Multiscale Air Quality (CMAQ) system supplement monitoring data in counties with sparse station coverage, while satellite-derived aerosol optical depth retrievals from the MODIS and TROPOMI instruments provide complementary spatial context for interpreting county-level monitor readings.
Sources
- EPA AQI - https://www.epa.gov/aqi/
- EPA Air Data - https://www.epa.gov/outdoor-air-quality-data/air-data-basic-information/
- EPA Superfund - https://www.epa.gov/superfund/