Air quality in Nai Mueang, Thailand today

Mr. Duck’s Air Quality Score

Moderate air today for Nai Mueang, Thailand

⚠️ This website is currently under active development. Some data may be incomplete or temporarily inaccurate. For health-critical decisions, please verify information through official government or environmental sources.

Categories follow US EPA AQI breakpoints for PM (estimate from latest valid measurements; this project does not compute EPA NowCast/24-hour AQI yet).

This friendly indicator summarizes the latest city readings. For health guidance, please see: EPA AirNow or WHO.

Air quality today

The air quality in Nai Mueang is currently classified as Moderate. The primary pollutant identified is PM2.5. This classification is based on six valid measurements collected through OpenAQ. The assessment reflects the most recent data available for the city. Both fine particles and coarse particles contribute to the overall rating, with PM2.5 being the dominant factor.

The reported PM2.5 concentration is 27.7 µg/m³, while the PM10 concentration stands at 48.0 µg/m³. These values represent the average of the valid observations. All concentrations are expressed in micrograms per cubic meter, the standard unit for ambient particulate monitoring. The values are consistent with the thresholds that define the Moderate category. Data is shown via OpenAQ. This page is informational; for health guidance, use official sources such as EPA AirNow or WHO.

Latest sensor values

PM categories follow US EPA AQI breakpoints, shown here as an estimate derived from the latest valid measurements (this project does not compute EPA NowCast/24-hour AQI yet).

What the data includes

The dataset for Nai Mueang pulls in measurements from two monitoring sites, giving a total of seven data rows. All six of the recent rows have been refreshed within the last 30 days, while one row is marked as unknown in terms of its update time. The pollutants that are captured for this city are carbon monoxide (CO), nitrogen dioxide (NO₂), ozone (O₃), particulate matter ≤ 10 µm (PM10), particulate matter ≤ 2.5 µm (PM2.5) and sulfur dioxide (SO₂).

Freshness varies by pollutant. The most recent timestamps are for the particulate measurements: both PM2.5 and PM10 were last recorded on 2026‑02‑10 at 22:00 UTC. The gas‑phase pollutants were last updated on 2026‑01‑28, with CO at 14:00 UTC, NO₂ at 12:00 UTC and O₃ at 14:00 UTC, while SO₂ also shows a 12:00 UTC update on the same day. This means that the particulate data are about three weeks newer than the gas data.

Looking at the numbers, PM2.5 values span from a low of 5.0 µg/m³ to a high of 27.7 µg/m³, with a median of 16.35 µg/m³ and the 10th‑percentile at 7.27 µg/m³ and the 90th‑percentile at 25.43 µg/m³, indicating a moderate spread around the centre. In contrast, the gas‑phase readings are uniform: CO is consistently 0.7 ppm, NO₂ stays at 0.016 ppm, O₃ at 0.072 ppm and SO₂ at 0.001 ppm across the single rows that report them. PM10 shows a single value of 48.0 µg/m³. The data therefore provide richer detail for particulate matter, with multiple recent observations and a clear range, whereas the gaseous pollutants are represented by single, unchanged points. This uneven coverage means that while the city’s particulate profile can be examined with some depth, the picture for gases is limited to the most recent single measurements from each site.

Learn more about sources and filtering: About the data.

Trusted references: WHO (Air pollution) · US EPA AirNow · European Environment Agency (Air)

Latest sensor values (bars)

PM categories follow US EPA AQI breakpoints, shown here as an estimate derived from the latest valid measurements (this project does not compute EPA NowCast/24-hour AQI yet).

Data notes

These data are based on six valid measurements and were updated within 30 days, with the most recent reading recorded on 2026-02-10 at 22:00 UTC. The values represent a snapshot of conditions in Nai Mueang and may not reflect variations across different neighborhoods or times of day. Users should consider local factors when interpreting the information.

OpenAQ station rows