What are the current PM10 levels at Coatesville, Pennsylvania?

The current PM10 levels in Coatesville, Pennsylvania are 24.395 μg/m3.

What are the current sulfur dioxide (SO2) levels at Coatesville, Pennsylvania?

The current sulfur dioxide (SO2) levels in Coatesville, Pennsylvania are 0.561 ppb.

What are the current ozone (O3) levels at Coatesville, Pennsylvania?

The current ozone (O3) levels at Coatesville, Pennsylvania is 13.568 ppm.

What are the current nitrogen dioxide (NO2) levels at Coatesville, Pennsylvania?

The current nitrogen dioxide (NO2) levels at Coatesville, Pennsylvania is 6.77 ppb.

Real-time air quality index in Coatesville, Pennsylvania today

Q: What are the current PM2.5 levels in Coatesville, Pennsylvania?

The measured PM2.5 levels in Coatesville, Pennsylvania at present are 5.644 μg/m3.

Stay updated with real-time air quality in Coatesville, Pennsylvania featuring accurate data on AQI, PM_2.5, PM₁₀, O₃, NO₂, SO₂, and CO levels. Use our interactive map and detailed forecasts to monitor pollution trends, manage health risks, and plan your daily activities with confidence.

Live AQI (Air Quality Index)

Good

Coatesville, Pennsylvania

Last updated: ... (Local time)

Common air pollutants in Coatesville, Pennsylvania

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

5.64 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

24.39 μg/m³

155

255

425

605+

Ozone (O₃)

13.57 ppb

201

201+

Sulfur Dioxide (SO₂)

0.56 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

6.77 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.35 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Coatesville, Pennsylvania

Get Live Pollen Counts

Coatesville, Pennsylvania

Scroll To Air Quality Map

Track live Coatesville, Pennsylvania air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-09-05T14:00:00.000Z	38 \| good	6.848 \| good	28.985 \| good	24.317 \| good	0.758 \| good	4.285 \| good	0.275 \| good
2026-09-05T15:00:00.000Z	33 \| good	5.662 \| good	22.312 \| good	21.681 \| good	0.778 \| good	3.385 \| good	0.263 \| good
2026-09-05T16:00:00.000Z	33 \| good	5.747 \| good	25.377 \| good	29.948 \| good	0.709 \| good	3.582 \| good	0.263 \| good
2026-09-05T17:00:00.000Z	29 \| good	4.9 \| good	20.419 \| good	31.452 \| good	0.605 \| good	2.998 \| good	0.244 \| good
2026-09-05T18:00:00.000Z	31 \| good	4.74 \| good	20.154 \| good	32.661 \| good	0.61 \| good	2.866 \| good	0.244 \| good
2026-09-05T19:00:00.000Z	31 \| good	4.532 \| good	19.742 \| good	33.156 \| good	0.635 \| good	2.589 \| good	0.237 \| good
2026-09-05T20:00:00.000Z	30 \| good	4.462 \| good	19.608 \| good	32.027 \| good	0.442 \| good	2.648 \| good	0.225 \| good
2026-09-05T21:00:00.000Z	31 \| good	3.914 \| good	18.371 \| good	33.749 \| good	0.462 \| good	3.061 \| good	0.237 \| good
2026-09-05T22:00:00.000Z	31 \| good	4.071 \| good	17.704 \| good	32.754 \| good	0.409 \| good	3.326 \| good	0.237 \| good
2026-09-05T23:00:00.000Z	30 \| good	3.614 \| good	17.208 \| good	31.97 \| good	0.439 \| good	5.398 \| good	0.281 \| good
2026-09-06T00:00:00.000Z	30 \| good	4.672 \| good	12.109 \| good	31.97 \| good	0.477 \| good	7.014 \| good	0.291 \| good
2026-09-06T01:00:00.000Z	23 \| good	4.204 \| good	17.386 \| good	25.163 \| good	0.442 \| good	8.315 \| good	0.291 \| good
2026-09-06T02:00:00.000Z	22 \| good	4.499 \| good	17.082 \| good	21.733 \| good	0.422 \| good	9.695 \| good	0.343 \| good
2026-09-06T03:00:00.000Z	22 \| good	4.291 \| good	18.832 \| good	12.604 \| good	0.889 \| good	5.888 \| good	0.204 \| good
2026-09-06T04:00:00.000Z	25 \| good	4.34 \| good	26.924 \| good	17.468 \| good	0.346 \| good	10.729 \| good	0.377 \| good
2026-09-06T05:00:00.000Z	27 \| good	5.028 \| good	21.641 \| good	17.425 \| good	0.394 \| good	8.455 \| good	0.325 \| good
2026-09-06T06:00:00.000Z	33 \| good	6.189 \| good	29.222 \| good	16.246 \| good	0.378 \| good	5.879 \| good	0.346 \| good
2026-09-06T07:00:00.000Z	27 \| good	5.45 \| good	20.751 \| good	13.525 \| good	0.336 \| good	6.012 \| good	0.306 \| good
2026-09-06T08:00:00.000Z	27 \| good	5.368 \| good	22.339 \| good	14.846 \| good	0.333 \| good	5.069 \| good	0.325 \| good
2026-09-06T09:00:00.000Z	27 \| good	5.187 \| good	20.371 \| good	13.163 \| good	0.342 \| good	4.338 \| good	0.306 \| good
2026-09-06T10:00:00.000Z	27 \| good	4.721 \| good	18.018 \| good	15.407 \| good	0.5 \| good	4.181 \| good	0.287 \| good
2026-09-06T11:00:00.000Z	22 \| good	4.403 \| good	20.532 \| good	11.048 \| good	0.298 \| good	4.149 \| good	0.287 \| good
2026-09-06T12:00:00.000Z	27 \| good	5.034 \| good	21.985 \| good	11.005 \| good	0.466 \| good	4.111 \| good	0.284 \| good
2026-09-06T13:00:00.000Z	27 \| good	5.006 \| good	24.311 \| good	13.478 \| good	0.514 \| good	4.166 \| good	0.284 \| good
2026-09-06T14:00:00.000Z	27 \| good	5.179 \| good	25.144 \| good	19.651 \| good	0.27 \| good	2.41 \| good	0.284 \| good
2026-09-06T15:00:00.000Z	22 \| good	4.28 \| good	17.856 \| good	23.331 \| good	0.353 \| good	1.616 \| good	0.266 \| good
2026-09-06T16:00:00.000Z	27 \| good	4.813 \| good	20.177 \| good	24.965 \| good	0.375 \| good	1.612 \| good	0.31 \| good
2026-09-06T17:00:00.000Z	22 \| good	4.42 \| good	18.56 \| good	24.22 \| good	0.374 \| good	1.607 \| good	0.284 \| good
2026-09-06T18:00:00.000Z	24 \| good	4.113 \| good	16.814 \| good	26.452 \| good	0.389 \| good	1.746 \| good	0.266 \| good
2026-09-06T19:00:00.000Z	24 \| good	4.243 \| good	15.052 \| good	25.963 \| good	0.361 \| good	1.751 \| good	0.284 \| good
2026-09-06T20:00:00.000Z	25 \| good	3.971 \| good	17.566 \| good	27.388 \| good	0.396 \| good	1.398 \| good	0.284 \| good
2026-09-06T21:00:00.000Z	25 \| good	3.915 \| good	13.153 \| good	26.876 \| good	0.355 \| good	2.01 \| good	0.284 \| good
2026-09-06T22:00:00.000Z	26 \| good	3.671 \| good	16.956 \| good	27.53 \| good	0.388 \| good	2.742 \| good	0.258 \| good
2026-09-06T23:00:00.000Z	25 \| good	3.113 \| good	13.496 \| good	27.244 \| good	0.432 \| good	3.803 \| good	0.258 \| good
2026-09-07T00:00:00.000Z	22 \| good	3.827 \| good	15.477 \| good	24.404 \| good	0.391 \| good	2.85 \| good	0.258 \| good
2026-09-07T01:00:00.000Z	22 \| good	4.056 \| good	17.53 \| good	22.885 \| good	0.399 \| good	7.147 \| good	0.284 \| good
2026-09-07T02:00:00.000Z	27 \| good	5.436 \| good	18.636 \| good	16.758 \| good	0.461 \| good	11.529 \| good	0.291 \| good
2026-09-07T03:00:00.000Z	16 \| good	3.067 \| good	13.422 \| good	13.69 \| good	0.838 \| good	9.256 \| good	0.216 \| good
2026-09-07T04:00:00.000Z	27 \| good	4.644 \| good	19.805 \| good	14.787 \| good	0.551 \| good	9.268 \| good	0.36 \| good
2026-09-07T05:00:00.000Z	33 \| good	5.74 \| good	26.234 \| good	14.028 \| good	0.429 \| good	6.312 \| good	0.335 \| good
2026-09-07T06:00:00.000Z	27 \| good	4.678 \| good	25.158 \| good	13.38 \| good	0.462 \| good	3.894 \| good	0.391 \| good
2026-09-07T07:00:00.000Z	27 \| good	5.109 \| good	22.169 \| good	13.663 \| good	0.429 \| good	5.102 \| good	0.383 \| good
2026-09-07T08:00:00.000Z	33 \| good	5.554 \| good	23.443 \| good	12.521 \| good	0.387 \| good	5.085 \| good	0.372 \| good
2026-09-07T09:00:00.000Z	33 \| good	5.855 \| good	22.865 \| good	8.305 \| good	0.643 \| good	4.868 \| good	0.375 \| good
2026-09-07T10:00:00.000Z	27 \| good	5.385 \| good	23.459 \| good	12.169 \| good	0.386 \| good	8.478 \| good	0.395 \| good
2026-09-07T11:00:00.000Z	27 \| good	4.938 \| good	20.095 \| good	14.909 \| good	0.409 \| good	8.008 \| good	0.342 \| good
2026-09-07T12:00:00.000Z	33 \| good	5.644 \| good	24.395 \| good	13.568 \| good	0.561 \| good	6.77 \| good	0.346 \| good
2026-09-07T13:00:00.000Z	33 \| good	5.806 \| good	22.752 \| good	14.365 \| good	0.513 \| good	3.789 \| good	0.365 \| good
2026-09-07T13:00:00.000Z	33 \| good	5.644 \| good	24.395 \| good	13.568 \| good	0.561 \| good	6.77 \| good	0.346 \| good
2026-09-07T14:00:00.000Z	25 \| good	2.728 \| good	11.112 \| good	26.528 \| good	0.708 \| good	2.408 \| good	0.174 \| good
2026-09-07T15:00:00.000Z	30 \| good	2.48 \| good	10.048 \| good	31.979 \| good	0.44 \| good	0.981 \| good	0.151 \| good
2026-09-07T16:00:00.000Z	31 \| good	1.648 \| good	6.834 \| good	34.154 \| good	0.369 \| good	0.661 \| good	0.147 \| good
2026-09-07T17:00:00.000Z	33 \| good	1.477 \| good	6.02 \| good	36.273 \| good	0.351 \| good	0.562 \| good	0.147 \| good
2026-09-07T18:00:00.000Z	36 \| good	1.338 \| good	5.277 \| good	38.7 \| good	0.345 \| good	0.536 \| good	0.147 \| good
2026-09-07T19:00:00.000Z	35 \| good	1.123 \| good	4.907 \| good	38.199 \| good	0.35 \| good	0.563 \| good	0.148 \| good
2026-09-07T20:00:00.000Z	33 \| good	1.317 \| good	5.094 \| good	36.122 \| good	0.364 \| good	0.62 \| good	0.149 \| good
2026-09-07T21:00:00.000Z	29 \| good	1.275 \| good	5 \| good	31.483 \| good	0.386 \| good	0.735 \| good	0.151 \| good
2026-09-07T22:00:00.000Z	26 \| good	1.259 \| good	5.224 \| good	27.977 \| good	0.418 \| good	1.072 \| good	0.154 \| good
2026-09-07T23:00:00.000Z	21 \| good	2.015 \| good	8.295 \| good	23.411 \| good	0.639 \| good	3.765 \| good	0.181 \| good
2026-09-08T00:00:00.000Z	22 \| good	4.151 \| good	18.351 \| good	23.333 \| good	1.04 \| good	8.233 \| good	0.221 \| good
2026-09-08T01:00:00.000Z	27 \| good	4.524 \| good	19.657 \| good	21.46 \| good	1.493 \| good	11.029 \| good	0.251 \| good
2026-09-08T02:00:00.000Z	27 \| good	4.753 \| good	20.877 \| good	20.654 \| good	2.001 \| good	13.383 \| good	0.278 \| good
2026-09-08T03:00:00.000Z	27 \| good	5.299 \| good	22.714 \| good	21.357 \| good	2.564 \| good	16.261 \| good	0.312 \| good
2026-09-08T04:00:00.000Z	33 \| good	5.932 \| good	25.794 \| good	20.29 \| good	3.121 \| good	18.874 \| good	0.347 \| good
2026-09-08T05:00:00.000Z	33 \| good	5.525 \| good	23.777 \| good	19.739 \| good	3.605 \| good	20.654 \| good	0.378 \| good
2026-09-08T06:00:00.000Z	27 \| good	4.592 \| good	20.031 \| good	16.183 \| good	4.117 \| good	21.684 \| good	0.406 \| good
2026-09-08T07:00:00.000Z	27 \| good	4.831 \| good	21.02 \| good	14.229 \| good	4.556 \| good	22.397 \| good	0.429 \| good
2026-09-08T08:00:00.000Z	27 \| good	4.61 \| good	20.004 \| good	14.311 \| good	4.963 \| good	23.121 \| good	0.453 \| good
2026-09-08T09:00:00.000Z	27 \| good	5.418 \| good	23.304 \| good	15.992 \| good	5.42 \| good	23.5 \| good	0.483 \| good
2026-09-08T10:00:00.000Z	33 \| good	6.361 \| good	28.361 \| good	14.685 \| good	5.913 \| good	23.773 \| good	0.514 \| good
2026-09-08T11:00:00.000Z	38 \| good	6.614 \| good	29.355 \| good	13.049 \| good	6.312 \| good	22.22 \| good	0.548 \| good
2026-09-08T12:00:00.000Z	44 \| good	8.332 \| good	36.448 \| good	13.918 \| good	5.849 \| good	19.24 \| good	0.595 \| good
2026-09-08T13:00:00.000Z	27 \| good	5.29 \| good	22.618 \| good	19.52 \| good	1.891 \| good	8.651 \| good	0.308 \| good
2026-09-08T14:00:00.000Z	24 \| good	4.121 \| good	18.052 \| good	25.936 \| good	1.135 \| good	3.423 \| good	0.2 \| good
2026-09-08T15:00:00.000Z	26 \| good	3.013 \| good	12.51 \| good	28.225 \| good	0.94 \| good	1.502 \| good	0.173 \| good
2026-09-08T16:00:00.000Z	29 \| good	3.009 \| good	12.43 \| good	31.197 \| good	0.789 \| good	0.942 \| good	0.166 \| good
2026-09-08T17:00:00.000Z	31 \| good	2.991 \| good	12.462 \| good	34.004 \| good	0.728 \| good	0.781 \| good	0.165 \| good
2026-09-08T18:00:00.000Z	35 \| good	2.98 \| good	12.413 \| good	37.61 \| good	0.71 \| good	0.744 \| good	0.167 \| good
2026-09-08T19:00:00.000Z	38 \| good	3.279 \| good	14.238 \| good	41.466 \| good	0.705 \| good	0.777 \| good	0.169 \| good
2026-09-08T20:00:00.000Z	42 \| good	3.916 \| good	17.126 \| good	44.575 \| good	0.704 \| good	0.848 \| good	0.171 \| good
2026-09-08T21:00:00.000Z	40 \| good	5.611 \| good	24.112 \| good	43.369 \| good	0.711 \| good	1.004 \| good	0.174 \| good
2026-09-08T22:00:00.000Z	38 \| good	6.253 \| good	27.782 \| good	41.448 \| good	0.736 \| good	1.403 \| good	0.179 \| good
2026-09-08T23:00:00.000Z	37 \| good	6.263 \| good	27.543 \| good	39.839 \| good	0.982 \| good	4.437 \| good	0.211 \| good
2026-09-09T00:00:00.000Z	33 \| good	6.233 \| good	27.9 \| good	35.022 \| good	1.275 \| good	8.843 \| good	0.25 \| good
2026-09-09T01:00:00.000Z	44 \| good	8.12 \| good	35.821 \| good	36.083 \| good	1.278 \| good	10.398 \| good	0.261 \| good
2026-09-09T02:00:00.000Z	52 \| moderate	9.663 \| good	43.234 \| good	32.901 \| good	1.125 \| good	11.382 \| good	0.262 \| good
2026-09-09T03:00:00.000Z	52 \| moderate	10.346 \| good	45.965 \| good	32.438 \| good	1.016 \| good	12.831 \| good	0.265 \| good
2026-09-09T04:00:00.000Z	54 \| moderate	11.126 \| good	49.095 \| good	31.445 \| good	0.994 \| good	13.719 \| good	0.268 \| good
2026-09-09T05:00:00.000Z	54 \| moderate	10.543 \| good	46.682 \| good	28.267 \| good	0.98 \| good	12.815 \| good	0.26 \| good
2026-09-09T06:00:00.000Z	52 \| moderate	10.23 \| good	45.309 \| good	25.167 \| good	0.982 \| good	11.079 \| good	0.245 \| good
2026-09-09T07:00:00.000Z	52 \| moderate	9.816 \| good	43.599 \| good	22.493 \| good	1.042 \| good	9.735 \| good	0.233 \| good
2026-09-09T08:00:00.000Z	49 \| good	9.184 \| good	41.142 \| good	20.139 \| good	1.117 \| good	8.689 \| good	0.226 \| good
2026-09-09T09:00:00.000Z	44 \| good	7.596 \| good	33.401 \| good	16.77 \| good	1.187 \| good	7.865 \| good	0.222 \| good
2026-09-09T10:00:00.000Z	33 \| good	5.857 \| good	25.678 \| good	17.787 \| good	1.248 \| good	7.301 \| good	0.221 \| good
2026-09-09T11:00:00.000Z	27 \| good	5.309 \| good	22.949 \| good	18.339 \| good	1.294 \| good	6.965 \| good	0.22 \| good
2026-09-09T12:00:00.000Z	54 \| moderate	10.615 \| good	11.398 \| good	29.592 \| good	1.257 \| good	6.468 \| good	0.225 \| good
2026-09-09T13:00:00.000Z	52 \| moderate	10.392 \| good	11.56 \| good	40.872 \| good	0.921 \| good	4.311 \| good	0.209 \| good

Coatesville

Empower business decisions with accurate air quality data

Coatesville, Pennsylvania air quality map: Real-time AQI near you

0.35ppm

How accurate is Pennsylvania, USA air quality data?

Air quality measurements for Pennsylvania, USA meet strict US EPA standards. These measurements are collected from reliable sources, including satellites and ground-based monitoring systems. Advanced algorithms and machine learning techniques are applied to the data, factoring in variables such as traffic and population density, to ensure precision and reliability.

Source: Ambee Data Sources

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Frequently asked questions

How frequently is the air quality data for Coatesville, Pennsylvania updated?

Air quality data for Coatesville, Pennsylvania is updated on an hourly basis.

When did Coatesville, Pennsylvania experience the worst air quality in the last 24 hours?

The worst air quality in Coatesville, Pennsylvania was recorded at 12:00:00 on 2026-09-07.

When did Coatesville, Pennsylvania have its best air quality in the last 24 hours?

The best air quality in Coatesville, Pennsylvania was recorded at 03:00:00 on 2026-09-07.

What is the real-time air quality index for Coatesville, Pennsylvania?

The real-time air quality index in Coatesville, Pennsylvania is 33, currently categorized as Good.

Which pollutant is found most often in Coatesville, Pennsylvania?

The most common pollutant in Coatesville, Pennsylvania is PM2.5.

What can I do if the air quality in Coatesville, Pennsylvania is poor?

If the air quality in Coatesville, Pennsylvania is poor, limit outdoor activities and use a mask to safeguard your health.

What are the current PM_2.5 levels in Coatesville, Pennsylvania?

The measured PM_2.5 levels in Coatesville, Pennsylvania at present are 5.644 μg/m³.

What are the current PM₁₀ levels at Coatesville, Pennsylvania?

The current PM₁₀ levels in Coatesville, Pennsylvania are 24.395 μg/m³.

What are the current carbon monoxide (CO) levels at Coatesville, Pennsylvania?

The current carbon monoxide (CO) level in Coatesville, Pennsylvania is 0.346 ppm.

What are the current sulfur dioxide (SO₂) levels at Coatesville, Pennsylvania?

The current sulfur dioxide (SO₂) levels in Coatesville, Pennsylvania are 0.561 ppb.

What are the current ozone (O₃) levels at Coatesville, Pennsylvania?

The current ozone (O₃) levels at Coatesville, Pennsylvania is 13.568 ppm.

What are the current nitrogen dioxide (NO₂) levels at Coatesville, Pennsylvania?

The current nitrogen dioxide (NO₂) levels at Coatesville, Pennsylvania is 6.77 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-09-05T14:00:00.000Z	38 \| good	6.848 \| good	28.985 \| good	24.317 \| good	0.758 \| good	4.285 \| good	0.275 \| good
2026-09-05T15:00:00.000Z	33 \| good	5.662 \| good	22.312 \| good	21.681 \| good	0.778 \| good	3.385 \| good	0.263 \| good
2026-09-05T16:00:00.000Z	33 \| good	5.747 \| good	25.377 \| good	29.948 \| good	0.709 \| good	3.582 \| good	0.263 \| good
2026-09-05T17:00:00.000Z	29 \| good	4.9 \| good	20.419 \| good	31.452 \| good	0.605 \| good	2.998 \| good	0.244 \| good
2026-09-05T18:00:00.000Z	31 \| good	4.74 \| good	20.154 \| good	32.661 \| good	0.61 \| good	2.866 \| good	0.244 \| good
2026-09-05T19:00:00.000Z	31 \| good	4.532 \| good	19.742 \| good	33.156 \| good	0.635 \| good	2.589 \| good	0.237 \| good
2026-09-05T20:00:00.000Z	30 \| good	4.462 \| good	19.608 \| good	32.027 \| good	0.442 \| good	2.648 \| good	0.225 \| good
2026-09-05T21:00:00.000Z	31 \| good	3.914 \| good	18.371 \| good	33.749 \| good	0.462 \| good	3.061 \| good	0.237 \| good
2026-09-05T22:00:00.000Z	31 \| good	4.071 \| good	17.704 \| good	32.754 \| good	0.409 \| good	3.326 \| good	0.237 \| good
2026-09-05T23:00:00.000Z	30 \| good	3.614 \| good	17.208 \| good	31.97 \| good	0.439 \| good	5.398 \| good	0.281 \| good
2026-09-06T00:00:00.000Z	30 \| good	4.672 \| good	12.109 \| good	31.97 \| good	0.477 \| good	7.014 \| good	0.291 \| good
2026-09-06T01:00:00.000Z	23 \| good	4.204 \| good	17.386 \| good	25.163 \| good	0.442 \| good	8.315 \| good	0.291 \| good
2026-09-06T02:00:00.000Z	22 \| good	4.499 \| good	17.082 \| good	21.733 \| good	0.422 \| good	9.695 \| good	0.343 \| good
2026-09-06T03:00:00.000Z	22 \| good	4.291 \| good	18.832 \| good	12.604 \| good	0.889 \| good	5.888 \| good	0.204 \| good
2026-09-06T04:00:00.000Z	25 \| good	4.34 \| good	26.924 \| good	17.468 \| good	0.346 \| good	10.729 \| good	0.377 \| good
2026-09-06T05:00:00.000Z	27 \| good	5.028 \| good	21.641 \| good	17.425 \| good	0.394 \| good	8.455 \| good	0.325 \| good
2026-09-06T06:00:00.000Z	33 \| good	6.189 \| good	29.222 \| good	16.246 \| good	0.378 \| good	5.879 \| good	0.346 \| good
2026-09-06T07:00:00.000Z	27 \| good	5.45 \| good	20.751 \| good	13.525 \| good	0.336 \| good	6.012 \| good	0.306 \| good
2026-09-06T08:00:00.000Z	27 \| good	5.368 \| good	22.339 \| good	14.846 \| good	0.333 \| good	5.069 \| good	0.325 \| good
2026-09-06T09:00:00.000Z	27 \| good	5.187 \| good	20.371 \| good	13.163 \| good	0.342 \| good	4.338 \| good	0.306 \| good
2026-09-06T10:00:00.000Z	27 \| good	4.721 \| good	18.018 \| good	15.407 \| good	0.5 \| good	4.181 \| good	0.287 \| good
2026-09-06T11:00:00.000Z	22 \| good	4.403 \| good	20.532 \| good	11.048 \| good	0.298 \| good	4.149 \| good	0.287 \| good
2026-09-06T12:00:00.000Z	27 \| good	5.034 \| good	21.985 \| good	11.005 \| good	0.466 \| good	4.111 \| good	0.284 \| good
2026-09-06T13:00:00.000Z	27 \| good	5.006 \| good	24.311 \| good	13.478 \| good	0.514 \| good	4.166 \| good	0.284 \| good
2026-09-06T14:00:00.000Z	27 \| good	5.179 \| good	25.144 \| good	19.651 \| good	0.27 \| good	2.41 \| good	0.284 \| good
2026-09-06T15:00:00.000Z	22 \| good	4.28 \| good	17.856 \| good	23.331 \| good	0.353 \| good	1.616 \| good	0.266 \| good
2026-09-06T16:00:00.000Z	27 \| good	4.813 \| good	20.177 \| good	24.965 \| good	0.375 \| good	1.612 \| good	0.31 \| good
2026-09-06T17:00:00.000Z	22 \| good	4.42 \| good	18.56 \| good	24.22 \| good	0.374 \| good	1.607 \| good	0.284 \| good
2026-09-06T18:00:00.000Z	24 \| good	4.113 \| good	16.814 \| good	26.452 \| good	0.389 \| good	1.746 \| good	0.266 \| good
2026-09-06T19:00:00.000Z	24 \| good	4.243 \| good	15.052 \| good	25.963 \| good	0.361 \| good	1.751 \| good	0.284 \| good
2026-09-06T20:00:00.000Z	25 \| good	3.971 \| good	17.566 \| good	27.388 \| good	0.396 \| good	1.398 \| good	0.284 \| good
2026-09-06T21:00:00.000Z	25 \| good	3.915 \| good	13.153 \| good	26.876 \| good	0.355 \| good	2.01 \| good	0.284 \| good
2026-09-06T22:00:00.000Z	26 \| good	3.671 \| good	16.956 \| good	27.53 \| good	0.388 \| good	2.742 \| good	0.258 \| good
2026-09-06T23:00:00.000Z	25 \| good	3.113 \| good	13.496 \| good	27.244 \| good	0.432 \| good	3.803 \| good	0.258 \| good
2026-09-07T00:00:00.000Z	22 \| good	3.827 \| good	15.477 \| good	24.404 \| good	0.391 \| good	2.85 \| good	0.258 \| good
2026-09-07T01:00:00.000Z	22 \| good	4.056 \| good	17.53 \| good	22.885 \| good	0.399 \| good	7.147 \| good	0.284 \| good
2026-09-07T02:00:00.000Z	27 \| good	5.436 \| good	18.636 \| good	16.758 \| good	0.461 \| good	11.529 \| good	0.291 \| good
2026-09-07T03:00:00.000Z	16 \| good	3.067 \| good	13.422 \| good	13.69 \| good	0.838 \| good	9.256 \| good	0.216 \| good
2026-09-07T04:00:00.000Z	27 \| good	4.644 \| good	19.805 \| good	14.787 \| good	0.551 \| good	9.268 \| good	0.36 \| good
2026-09-07T05:00:00.000Z	33 \| good	5.74 \| good	26.234 \| good	14.028 \| good	0.429 \| good	6.312 \| good	0.335 \| good
2026-09-07T06:00:00.000Z	27 \| good	4.678 \| good	25.158 \| good	13.38 \| good	0.462 \| good	3.894 \| good	0.391 \| good
2026-09-07T07:00:00.000Z	27 \| good	5.109 \| good	22.169 \| good	13.663 \| good	0.429 \| good	5.102 \| good	0.383 \| good
2026-09-07T08:00:00.000Z	33 \| good	5.554 \| good	23.443 \| good	12.521 \| good	0.387 \| good	5.085 \| good	0.372 \| good
2026-09-07T09:00:00.000Z	33 \| good	5.855 \| good	22.865 \| good	8.305 \| good	0.643 \| good	4.868 \| good	0.375 \| good
2026-09-07T10:00:00.000Z	27 \| good	5.385 \| good	23.459 \| good	12.169 \| good	0.386 \| good	8.478 \| good	0.395 \| good
2026-09-07T11:00:00.000Z	27 \| good	4.938 \| good	20.095 \| good	14.909 \| good	0.409 \| good	8.008 \| good	0.342 \| good
2026-09-07T12:00:00.000Z	33 \| good	5.644 \| good	24.395 \| good	13.568 \| good	0.561 \| good	6.77 \| good	0.346 \| good
2026-09-07T13:00:00.000Z	33 \| good	5.806 \| good	22.752 \| good	14.365 \| good	0.513 \| good	3.789 \| good	0.365 \| good
2026-09-07T13:00:00.000Z	33 \| good	5.644 \| good	24.395 \| good	13.568 \| good	0.561 \| good	6.77 \| good	0.346 \| good
2026-09-07T14:00:00.000Z	25 \| good	2.728 \| good	11.112 \| good	26.528 \| good	0.708 \| good	2.408 \| good	0.174 \| good
2026-09-07T15:00:00.000Z	30 \| good	2.48 \| good	10.048 \| good	31.979 \| good	0.44 \| good	0.981 \| good	0.151 \| good
2026-09-07T16:00:00.000Z	31 \| good	1.648 \| good	6.834 \| good	34.154 \| good	0.369 \| good	0.661 \| good	0.147 \| good
2026-09-07T17:00:00.000Z	33 \| good	1.477 \| good	6.02 \| good	36.273 \| good	0.351 \| good	0.562 \| good	0.147 \| good
2026-09-07T18:00:00.000Z	36 \| good	1.338 \| good	5.277 \| good	38.7 \| good	0.345 \| good	0.536 \| good	0.147 \| good
2026-09-07T19:00:00.000Z	35 \| good	1.123 \| good	4.907 \| good	38.199 \| good	0.35 \| good	0.563 \| good	0.148 \| good
2026-09-07T20:00:00.000Z	33 \| good	1.317 \| good	5.094 \| good	36.122 \| good	0.364 \| good	0.62 \| good	0.149 \| good
2026-09-07T21:00:00.000Z	29 \| good	1.275 \| good	5 \| good	31.483 \| good	0.386 \| good	0.735 \| good	0.151 \| good
2026-09-07T22:00:00.000Z	26 \| good	1.259 \| good	5.224 \| good	27.977 \| good	0.418 \| good	1.072 \| good	0.154 \| good
2026-09-07T23:00:00.000Z	21 \| good	2.015 \| good	8.295 \| good	23.411 \| good	0.639 \| good	3.765 \| good	0.181 \| good
2026-09-08T00:00:00.000Z	22 \| good	4.151 \| good	18.351 \| good	23.333 \| good	1.04 \| good	8.233 \| good	0.221 \| good
2026-09-08T01:00:00.000Z	27 \| good	4.524 \| good	19.657 \| good	21.46 \| good	1.493 \| good	11.029 \| good	0.251 \| good
2026-09-08T02:00:00.000Z	27 \| good	4.753 \| good	20.877 \| good	20.654 \| good	2.001 \| good	13.383 \| good	0.278 \| good
2026-09-08T03:00:00.000Z	27 \| good	5.299 \| good	22.714 \| good	21.357 \| good	2.564 \| good	16.261 \| good	0.312 \| good
2026-09-08T04:00:00.000Z	33 \| good	5.932 \| good	25.794 \| good	20.29 \| good	3.121 \| good	18.874 \| good	0.347 \| good
2026-09-08T05:00:00.000Z	33 \| good	5.525 \| good	23.777 \| good	19.739 \| good	3.605 \| good	20.654 \| good	0.378 \| good
2026-09-08T06:00:00.000Z	27 \| good	4.592 \| good	20.031 \| good	16.183 \| good	4.117 \| good	21.684 \| good	0.406 \| good
2026-09-08T07:00:00.000Z	27 \| good	4.831 \| good	21.02 \| good	14.229 \| good	4.556 \| good	22.397 \| good	0.429 \| good
2026-09-08T08:00:00.000Z	27 \| good	4.61 \| good	20.004 \| good	14.311 \| good	4.963 \| good	23.121 \| good	0.453 \| good
2026-09-08T09:00:00.000Z	27 \| good	5.418 \| good	23.304 \| good	15.992 \| good	5.42 \| good	23.5 \| good	0.483 \| good
2026-09-08T10:00:00.000Z	33 \| good	6.361 \| good	28.361 \| good	14.685 \| good	5.913 \| good	23.773 \| good	0.514 \| good
2026-09-08T11:00:00.000Z	38 \| good	6.614 \| good	29.355 \| good	13.049 \| good	6.312 \| good	22.22 \| good	0.548 \| good
2026-09-08T12:00:00.000Z	44 \| good	8.332 \| good	36.448 \| good	13.918 \| good	5.849 \| good	19.24 \| good	0.595 \| good
2026-09-08T13:00:00.000Z	27 \| good	5.29 \| good	22.618 \| good	19.52 \| good	1.891 \| good	8.651 \| good	0.308 \| good
2026-09-08T14:00:00.000Z	24 \| good	4.121 \| good	18.052 \| good	25.936 \| good	1.135 \| good	3.423 \| good	0.2 \| good
2026-09-08T15:00:00.000Z	26 \| good	3.013 \| good	12.51 \| good	28.225 \| good	0.94 \| good	1.502 \| good	0.173 \| good
2026-09-08T16:00:00.000Z	29 \| good	3.009 \| good	12.43 \| good	31.197 \| good	0.789 \| good	0.942 \| good	0.166 \| good
2026-09-08T17:00:00.000Z	31 \| good	2.991 \| good	12.462 \| good	34.004 \| good	0.728 \| good	0.781 \| good	0.165 \| good
2026-09-08T18:00:00.000Z	35 \| good	2.98 \| good	12.413 \| good	37.61 \| good	0.71 \| good	0.744 \| good	0.167 \| good
2026-09-08T19:00:00.000Z	38 \| good	3.279 \| good	14.238 \| good	41.466 \| good	0.705 \| good	0.777 \| good	0.169 \| good
2026-09-08T20:00:00.000Z	42 \| good	3.916 \| good	17.126 \| good	44.575 \| good	0.704 \| good	0.848 \| good	0.171 \| good
2026-09-08T21:00:00.000Z	40 \| good	5.611 \| good	24.112 \| good	43.369 \| good	0.711 \| good	1.004 \| good	0.174 \| good
2026-09-08T22:00:00.000Z	38 \| good	6.253 \| good	27.782 \| good	41.448 \| good	0.736 \| good	1.403 \| good	0.179 \| good
2026-09-08T23:00:00.000Z	37 \| good	6.263 \| good	27.543 \| good	39.839 \| good	0.982 \| good	4.437 \| good	0.211 \| good
2026-09-09T00:00:00.000Z	33 \| good	6.233 \| good	27.9 \| good	35.022 \| good	1.275 \| good	8.843 \| good	0.25 \| good
2026-09-09T01:00:00.000Z	44 \| good	8.12 \| good	35.821 \| good	36.083 \| good	1.278 \| good	10.398 \| good	0.261 \| good
2026-09-09T02:00:00.000Z	52 \| moderate	9.663 \| good	43.234 \| good	32.901 \| good	1.125 \| good	11.382 \| good	0.262 \| good
2026-09-09T03:00:00.000Z	52 \| moderate	10.346 \| good	45.965 \| good	32.438 \| good	1.016 \| good	12.831 \| good	0.265 \| good
2026-09-09T04:00:00.000Z	54 \| moderate	11.126 \| good	49.095 \| good	31.445 \| good	0.994 \| good	13.719 \| good	0.268 \| good
2026-09-09T05:00:00.000Z	54 \| moderate	10.543 \| good	46.682 \| good	28.267 \| good	0.98 \| good	12.815 \| good	0.26 \| good
2026-09-09T06:00:00.000Z	52 \| moderate	10.23 \| good	45.309 \| good	25.167 \| good	0.982 \| good	11.079 \| good	0.245 \| good
2026-09-09T07:00:00.000Z	52 \| moderate	9.816 \| good	43.599 \| good	22.493 \| good	1.042 \| good	9.735 \| good	0.233 \| good
2026-09-09T08:00:00.000Z	49 \| good	9.184 \| good	41.142 \| good	20.139 \| good	1.117 \| good	8.689 \| good	0.226 \| good
2026-09-09T09:00:00.000Z	44 \| good	7.596 \| good	33.401 \| good	16.77 \| good	1.187 \| good	7.865 \| good	0.222 \| good
2026-09-09T10:00:00.000Z	33 \| good	5.857 \| good	25.678 \| good	17.787 \| good	1.248 \| good	7.301 \| good	0.221 \| good
2026-09-09T11:00:00.000Z	27 \| good	5.309 \| good	22.949 \| good	18.339 \| good	1.294 \| good	6.965 \| good	0.22 \| good
2026-09-09T12:00:00.000Z	54 \| moderate	10.615 \| good	11.398 \| good	29.592 \| good	1.257 \| good	6.468 \| good	0.225 \| good
2026-09-09T13:00:00.000Z	52 \| moderate	10.392 \| good	11.56 \| good	40.872 \| good	0.921 \| good	4.311 \| good	0.209 \| good

Real-time air quality index in Coatesville, Pennsylvania today

Common air pollutants in Coatesville, Pennsylvania

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Coatesville, Pennsylvania air quality forecast and history

Empower business decisions with accurate air quality data

Coatesville, Pennsylvania air quality map: Real-time AQI near you

Air quality in nearby cities

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East Brandywine, Pennsylvania

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How accurate is Pennsylvania, USA air quality data?

Air quality levels in US

Frequently asked questions

How frequently is the air quality data for Coatesville, Pennsylvania updated?

When did Coatesville, Pennsylvania experience the worst air quality in the last 24 hours?

When did Coatesville, Pennsylvania have its best air quality in the last 24 hours?

What is the real-time air quality index for Coatesville, Pennsylvania?

Which pollutant is found most often in Coatesville, Pennsylvania?

What can I do if the air quality in Coatesville, Pennsylvania is poor?

What are the current PM2.5 levels in Coatesville, Pennsylvania?

What are the current PM10 levels at Coatesville, Pennsylvania?

What are the current carbon monoxide (CO) levels at Coatesville, Pennsylvania?

What are the current sulfur dioxide (SO2) levels at Coatesville, Pennsylvania?

What are the current ozone (O3) levels at Coatesville, Pennsylvania?

What are the current nitrogen dioxide (NO2) levels at Coatesville, Pennsylvania?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What are the current PM_2.5 levels in Coatesville, Pennsylvania?

What are the current PM₁₀ levels at Coatesville, Pennsylvania?

What are the current sulfur dioxide (SO₂) levels at Coatesville, Pennsylvania?

What are the current ozone (O₃) levels at Coatesville, Pennsylvania?

What are the current nitrogen dioxide (NO₂) levels at Coatesville, Pennsylvania?