What is the current concentration of PM10 in Pennsylvania, USA?

The current PM10 concentration at Pennsylvania, USA is 24.571 μg/m3.

What is the current concentration of sulfur dioxide (SO2) in Pennsylvania, USA?

The current sulfur dioxide (SO2) concentration at Pennsylvania, USA is 0.614 ppb.

What is the current concentration of ozone (O3) in Pennsylvania, USA?

The current ozone (O3) concentration at Pennsylvania, USA is 24.68 ppm.

What is the current concentration of nitrogen dioxide (NO2) in Pennsylvania, USA?

The current nitrogen dioxide (NO2) concentration at Pennsylvania, USA is 8.279 ppb.

Pennsylvania, USA live air quality index now

Name: Live air pollution levels in Pennsylvania, USA today
Creator: Ambee

Stay updated with real-time air quality in Pennsylvania, USA 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

Pennsylvania, USA

Last updated: ... (Local time)

Major air pollutants in Pennsylvania, USA

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

5.83 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

25.05 μg/m³

155

255

425

605+

Ozone (O₃)

28.29 ppb

201

201+

Sulfur Dioxide (SO₂)

0.58 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

7.45 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.28 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

High

Pennsylvania, USA

Get Live Pollen Counts

Pennsylvania, USA

Scroll To Air Quality Map

Track live Pennsylvania, USA air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-09-02T16:00:00.000Z	33 \| good	4.131 \| good	18.142 \| good	36.417 \| good	0.181 \| good	2.693 \| good	0.161 \| good
2025-09-02T17:00:00.000Z	36 \| good	4.124 \| good	18.096 \| good	39.337 \| good	0.181 \| good	1.475 \| good	0.159 \| good
2025-09-02T18:00:00.000Z	37 \| good	4.116 \| good	18.091 \| good	39.925 \| good	0.184 \| good	1.507 \| good	0.159 \| good
2025-09-02T19:00:00.000Z	40 \| good	4.114 \| good	18.069 \| good	42.653 \| good	0.205 \| good	2.119 \| good	0.18 \| good
2025-09-02T20:00:00.000Z	42 \| good	4.007 \| good	18.006 \| good	44.592 \| good	0.175 \| good	1.648 \| good	0.179 \| good
2025-09-02T21:00:00.000Z	43 \| good	3.967 \| good	17.508 \| good	45.699 \| good	0.197 \| good	1.433 \| good	0.184 \| good
2025-09-02T22:00:00.000Z	41 \| good	3.921 \| good	17.059 \| good	43.663 \| good	0.122 \| good	1.549 \| good	0.184 \| good
2025-09-02T23:00:00.000Z	34 \| good	3.821 \| good	16.983 \| good	37.179 \| good	0.178 \| good	1.385 \| good	0.224 \| good
2025-09-03T00:00:00.000Z	35 \| good	3.964 \| good	17.262 \| good	38.045 \| good	0.217 \| good	2.095 \| good	0.206 \| good
2025-09-03T01:00:00.000Z	32 \| good	3.972 \| good	17.476 \| good	34.864 \| good	0.226 \| good	2.766 \| good	0.187 \| good
2025-09-03T02:00:00.000Z	31 \| good	4.058 \| good	18.156 \| good	33.247 \| good	0.212 \| good	5.828 \| good	0.209 \| good
2025-09-03T03:00:00.000Z	49 \| good	9.287 \| good	41.052 \| good	28.027 \| good	1.741 \| good	7.634 \| good	0.241 \| good
2025-09-03T04:00:00.000Z	24 \| good	4.057 \| good	18.241 \| good	26.171 \| good	0.222 \| good	5.319 \| good	0.242 \| good
2025-09-03T05:00:00.000Z	22 \| good	4.131 \| good	18.496 \| good	20.801 \| good	0.181 \| good	5.319 \| good	0.236 \| good
2025-09-03T06:00:00.000Z	22 \| good	4.148 \| good	18.494 \| good	21.24 \| good	0.222 \| good	11.335 \| good	0.237 \| good
2025-09-03T07:00:00.000Z	23 \| good	4.056 \| good	18.132 \| good	25.418 \| good	0.222 \| good	6.729 \| good	0.257 \| good
2025-09-03T08:00:00.000Z	22 \| good	4.161 \| good	18.112 \| good	19.761 \| good	0.225 \| good	6.906 \| good	0.238 \| good
2025-09-03T09:00:00.000Z	23 \| good	4.144 \| good	18.131 \| good	24.978 \| good	0.222 \| good	6.757 \| good	0.216 \| good
2025-09-03T10:00:00.000Z	22 \| good	4.206 \| good	18.635 \| good	18.441 \| good	0.228 \| good	6.338 \| good	0.218 \| good
2025-09-03T11:00:00.000Z	22 \| good	4.197 \| good	18.682 \| good	21.357 \| good	0.192 \| good	7.806 \| good	0.241 \| good
2025-09-03T12:00:00.000Z	22 \| good	4.424 \| good	20.078 \| good	23.468 \| good	0.376 \| good	7.403 \| good	0.323 \| good
2025-09-03T13:00:00.000Z	26 \| good	4.454 \| good	19.698 \| good	28.027 \| good	0.408 \| good	7.504 \| good	0.348 \| good
2025-09-03T14:00:00.000Z	26 \| good	4.268 \| good	18.958 \| good	28.126 \| good	0.319 \| good	6.892 \| good	0.326 \| good
2025-09-03T15:00:00.000Z	29 \| good	4.343 \| good	19.725 \| good	30.852 \| good	0.266 \| good	5.484 \| good	0.226 \| good
2025-09-03T16:00:00.000Z	31 \| good	4.48 \| good	19.44 \| good	32.806 \| good	0.184 \| good	4.002 \| good	0.206 \| good
2025-09-03T17:00:00.000Z	39 \| good	4.573 \| good	20.292 \| good	42.139 \| good	0.199 \| good	4.508 \| good	0.184 \| good
2025-09-03T18:00:00.000Z	43 \| good	4.562 \| good	20.416 \| good	45.507 \| good	0.181 \| good	4.46 \| good	0.184 \| good
2025-09-03T19:00:00.000Z	46 \| good	4.426 \| good	19.062 \| good	49.514 \| good	0.144 \| good	4.332 \| good	0.19 \| good
2025-09-03T20:00:00.000Z	45 \| good	4.346 \| good	19.204 \| good	49.03 \| good	0.145 \| good	2.725 \| good	0.185 \| good
2025-09-03T21:00:00.000Z	44 \| good	4.13 \| good	18.11 \| good	48.346 \| good	0.165 \| good	2.567 \| good	0.185 \| good
2025-09-03T22:00:00.000Z	46 \| good	4.043 \| good	18.175 \| good	49.566 \| good	0.242 \| good	1.605 \| good	0.182 \| good
2025-09-03T23:00:00.000Z	45 \| good	4.042 \| good	18.397 \| good	49.338 \| good	0.203 \| good	1.789 \| good	0.201 \| good
2025-09-04T00:00:00.000Z	44 \| good	4.13 \| good	18.406 \| good	46.904 \| good	0.203 \| good	1.765 \| good	0.201 \| good
2025-09-04T01:00:00.000Z	44 \| good	4.28 \| good	19.397 \| good	47.066 \| good	0.213 \| good	3.022 \| good	0.236 \| good
2025-09-04T02:00:00.000Z	39 \| good	4.272 \| good	19.411 \| good	42.284 \| good	0.292 \| good	3.095 \| good	0.204 \| good
2025-09-04T03:00:00.000Z	42 \| good	4.263 \| good	19.296 \| good	45.226 \| good	0.362 \| good	3.252 \| good	0.2 \| good
2025-09-04T04:00:00.000Z	38 \| good	4.201 \| good	18.392 \| good	40.526 \| good	0.258 \| good	3.185 \| good	0.18 \| good
2025-09-04T05:00:00.000Z	40 \| good	4.269 \| good	19.325 \| good	43.096 \| good	0.239 \| good	3.718 \| good	0.218 \| good
2025-09-04T06:00:00.000Z	40 \| good	4.266 \| good	19.355 \| good	42.866 \| good	0.225 \| good	4.148 \| good	0.162 \| good
2025-09-04T07:00:00.000Z	38 \| good	4.256 \| good	19.303 \| good	41.313 \| good	0.277 \| good	3.22 \| good	0.165 \| good
2025-09-04T08:00:00.000Z	35 \| good	4.275 \| good	19.165 \| good	37.966 \| good	0.314 \| good	3.645 \| good	0.166 \| good
2025-09-04T09:00:00.000Z	27 \| good	4.293 \| good	19.427 \| good	29.411 \| good	0.295 \| good	4.458 \| good	0.183 \| good
2025-09-04T10:00:00.000Z	29 \| good	4.377 \| good	19.481 \| good	30.807 \| good	0.277 \| good	5.669 \| good	0.183 \| good
2025-09-04T11:00:00.000Z	31 \| good	4.39 \| good	19.479 \| good	32.543 \| good	0.237 \| good	7.016 \| good	0.221 \| good
2025-09-04T12:00:00.000Z	27 \| good	4.564 \| good	19.5 \| good	25.958 \| good	0.261 \| good	6.654 \| good	0.224 \| good
2025-09-04T13:00:00.000Z	33 \| good	5.788 \| good	25.443 \| good	26.279 \| good	1.421 \| good	2.731 \| good	0.183 \| good
2025-09-04T14:00:00.000Z	29 \| good	4.592 \| good	19.836 \| good	30.527 \| good	0.207 \| good	4.675 \| good	0.209 \| good
2025-09-04T15:00:00.000Z	33 \| good	5.83 \| good	25.049 \| good	28.289 \| good	0.584 \| good	7.446 \| good	0.285 \| good
2025-09-04T16:00:00.000Z	41 \| good	5.947 \| good	26.935 \| good	44.013 \| good	1.233 \| good	0.833 \| good	0.176 \| good
2025-09-04T17:00:00.000Z	41 \| good	5.835 \| good	25.246 \| good	44.118 \| good	1.146 \| good	0.696 \| good	0.172 \| good
2025-09-04T18:00:00.000Z	33 \| good	6.329 \| good	28.06 \| good	35.636 \| good	1.06 \| good	0.559 \| good	0.169 \| good
2025-09-04T19:00:00.000Z	38 \| good	6.501 \| good	29.242 \| good	33.156 \| good	0.948 \| good	0.844 \| good	0.168 \| good
2025-09-04T20:00:00.000Z	54 \| moderate	10.57 \| good	46.93 \| good	37.319 \| good	0.835 \| good	1.128 \| good	0.168 \| good
2025-09-04T21:00:00.000Z	52 \| moderate	9.626 \| good	43.005 \| good	41.902 \| good	0.723 \| good	1.412 \| good	0.168 \| good
2025-09-04T22:00:00.000Z	38 \| good	6.818 \| good	30.229 \| good	39.409 \| good	0.935 \| good	1.941 \| good	0.175 \| good
2025-09-04T23:00:00.000Z	33 \| good	6.293 \| good	28.019 \| good	34.668 \| good	1.146 \| good	2.47 \| good	0.182 \| good
2025-09-05T00:00:00.000Z	26 \| good	3.705 \| good	16.39 \| good	28.141 \| good	1.358 \| good	2.999 \| good	0.188 \| good
2025-09-05T01:00:00.000Z	27 \| good	4.01 \| good	17.371 \| good	28.91 \| good	1.525 \| good	3.021 \| good	0.19 \| good
2025-09-05T02:00:00.000Z	25 \| good	2.81 \| good	11.526 \| good	27.064 \| good	1.692 \| good	3.043 \| good	0.192 \| good
2025-09-05T03:00:00.000Z	24 \| good	3.44 \| good	15.191 \| good	26.473 \| good	1.859 \| good	3.065 \| good	0.193 \| good
2025-09-05T04:00:00.000Z	22 \| good	1.433 \| good	5.703 \| good	23.791 \| good	1.888 \| good	3.188 \| good	0.195 \| good
2025-09-05T05:00:00.000Z	19 \| good	1.314 \| good	5.285 \| good	19.875 \| good	1.917 \| good	3.312 \| good	0.197 \| good
2025-09-05T06:00:00.000Z	16 \| good	1.634 \| good	6.903 \| good	16.647 \| good	1.945 \| good	3.435 \| good	0.199 \| good
2025-09-05T07:00:00.000Z	16 \| good	2.694 \| good	10.842 \| good	15.01 \| good	1.804 \| good	3.984 \| good	0.203 \| good
2025-09-05T08:00:00.000Z	16 \| good	3.303 \| good	14.238 \| good	14.437 \| good	1.662 \| good	4.533 \| good	0.207 \| good
2025-09-05T09:00:00.000Z	22 \| good	4.009 \| good	17.685 \| good	15.865 \| good	1.52 \| good	5.082 \| good	0.211 \| good
2025-09-05T10:00:00.000Z	33 \| good	6.406 \| good	28.558 \| good	15.44 \| good	1.469 \| good	4.667 \| good	0.212 \| good
2025-09-05T11:00:00.000Z	44 \| good	7.823 \| good	34.664 \| good	17.321 \| good	1.418 \| good	4.252 \| good	0.214 \| good
2025-09-05T12:00:00.000Z	52 \| moderate	9.541 \| good	42.447 \| good	21.194 \| good	1.366 \| good	3.837 \| good	0.215 \| good
2025-09-05T13:00:00.000Z	49 \| good	8.98 \| good	39.303 \| good	28.624 \| good	1.638 \| good	2.843 \| good	0.208 \| good
2025-09-05T14:00:00.000Z	44 \| good	8.051 \| good	35.363 \| good	32.705 \| good	1.91 \| good	1.85 \| good	0.202 \| good
2025-09-05T15:00:00.000Z	44 \| good	7.775 \| good	33.959 \| good	38.691 \| good	2.181 \| good	0.856 \| good	0.195 \| good
2025-09-05T16:00:00.000Z	43 \| good	5.164 \| good	22.629 \| good	46.25 \| good	1.953 \| good	0.725 \| good	0.186 \| good
2025-09-05T17:00:00.000Z	48 \| good	3.556 \| good	15.975 \| good	51.508 \| good	1.724 \| good	0.595 \| good	0.177 \| good
2025-09-05T18:00:00.000Z	51 \| moderate	3.122 \| good	13.692 \| good	54.869 \| good	1.495 \| good	0.464 \| good	0.168 \| good
2025-09-05T19:00:00.000Z	50 \| good	2.399 \| good	10 \| good	53.945 \| good	1.34 \| good	0.517 \| good	0.166 \| good
2025-09-05T20:00:00.000Z	50 \| good	2.548 \| good	10.104 \| good	54.237 \| good	1.184 \| good	0.57 \| good	0.163 \| good
2025-09-05T21:00:00.000Z	46 \| good	4.119 \| good	17.928 \| good	50.43 \| good	1.028 \| good	0.623 \| good	0.16 \| good
2025-09-05T22:00:00.000Z	48 \| good	5.38 \| good	22.909 \| good	51.857 \| good	0.986 \| good	1.572 \| good	0.169 \| good
2025-09-05T23:00:00.000Z	38 \| good	5.182 \| good	22.749 \| good	41.084 \| good	0.944 \| good	2.52 \| good	0.177 \| good
2025-09-06T00:00:00.000Z	34 \| good	3.874 \| good	17.06 \| good	37.364 \| good	0.901 \| good	3.469 \| good	0.186 \| good
2025-09-06T01:00:00.000Z	29 \| good	5.258 \| good	22.929 \| good	30.783 \| good	0.93 \| good	3.734 \| good	0.191 \| good
2025-09-06T02:00:00.000Z	24 \| good	3.162 \| good	14.094 \| good	25.503 \| good	0.958 \| good	3.999 \| good	0.196 \| good
2025-09-06T03:00:00.000Z	22 \| good	3.543 \| good	16.021 \| good	21.405 \| good	0.987 \| good	4.263 \| good	0.201 \| good
2025-09-06T04:00:00.000Z	33 \| good	5.921 \| good	27 \| good	20.963 \| good	0.928 \| good	4.069 \| good	0.202 \| good
2025-09-06T05:00:00.000Z	33 \| good	5.938 \| good	27 \| good	21.138 \| good	0.868 \| good	3.875 \| good	0.203 \| good
2025-09-06T06:00:00.000Z	38 \| good	6.817 \| good	29.903 \| good	22.317 \| good	0.809 \| good	3.681 \| good	0.205 \| good
2025-09-06T07:00:00.000Z	38 \| good	7.041 \| good	31.006 \| good	22.974 \| good	0.865 \| good	3.94 \| good	0.206 \| good
2025-09-06T08:00:00.000Z	38 \| good	7.018 \| good	30.929 \| good	21.621 \| good	0.92 \| good	4.199 \| good	0.207 \| good
2025-09-06T09:00:00.000Z	33 \| good	5.76 \| good	25 \| good	19.689 \| good	0.976 \| good	4.458 \| good	0.207 \| good
2025-09-06T10:00:00.000Z	27 \| good	4.801 \| good	20.892 \| good	19.608 \| good	1.036 \| good	4.76 \| good	0.216 \| good
2025-09-06T11:00:00.000Z	27 \| good	5.152 \| good	22.137 \| good	18.213 \| good	1.096 \| good	5.061 \| good	0.224 \| good
2025-09-06T12:00:00.000Z	27 \| good	4.892 \| good	21.241 \| good	20.394 \| good	1.156 \| good	5.363 \| good	0.232 \| good
2025-09-06T13:00:00.000Z	27 \| good	5.123 \| good	21.994 \| good	24.128 \| good	1.527 \| good	3.891 \| good	0.22 \| good
2025-09-06T14:00:00.000Z	33 \| good	5.925 \| good	26.859 \| good	28.902 \| good	1.898 \| good	2.419 \| good	0.209 \| good
2025-09-06T15:00:00.000Z	33 \| good	6.122 \| good	27.24 \| good	34.054 \| good	2.27 \| good	0.948 \| good	0.197 \| good

Pennsylvania

Get reliable air quality data to drive your business

Pennsylvania, USA air quality map: Track AQI near you

Air quality in cities of Pennsylvania, USA

City	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
Springettsbury, Pennsylvania	44 Good	8.20μg/m³ Good	36.53μg/m³ Good	32.67ppb Good	0.25ppb Good	7.21ppb Good	0.23ppm Good
Manchester township, Pennsylvania	44 Good	8.04μg/m³ Good	35.81μg/m³ Good	32.09ppb Good	0.25ppb Good	7.21ppb Good	0.23ppm Good
York township, Pennsylvania	44 Good	7.91μg/m³ Good	35.09μg/m³ Good	31.98ppb Good	0.25ppb Good	7.19ppb Good	0.23ppm Good
West Manchester, Pennsylvania	38 Good	7.50μg/m³ Good	32.86μg/m³ Good	31.14ppb Good	0.25ppb Good	7.71ppb Good	0.23ppm Good
Falls township, Pennsylvania	38 Good	7.20μg/m³ Good	33.02μg/m³ Good	17.99ppb Good	0.45ppb Good	9.98ppb Good	0.39ppm Good
Windsor township, Pennsylvania	38 Good	7.35μg/m³ Good	32.25μg/m³ Good	30.77ppb Good	0.24ppb Good	7.14ppb Good	0.23ppm Good
Abington, Pennsylvania	38 Good	7.05μg/m³ Good	29.57μg/m³ Good	17.25ppb Good	0.46ppb Good	14.02ppb Good	0.40ppm Good
Cheltenham, Pennsylvania	38 Good	7.05μg/m³ Good	29.69μg/m³ Good	17.43ppb Good	0.44ppb Good	15.85ppb Good	0.40ppm Good
Hamilton township, Pennsylvania	38 Good	7.01μg/m³ Good	30.82μg/m³ Good	17.95ppb Good	0.46ppb Good	7.60ppb Good	0.40ppm Good
Muhlenberg, Pennsylvania	38 Good	7.17μg/m³ Good	31.80μg/m³ Good	20.27ppb Good	0.33ppb Good	7.28ppb Good	0.36ppm Good
Reading city, Pennsylvania	38 Good	7.09μg/m³ Good	31.38μg/m³ Good	20.86ppb Good	0.33ppb Good	7.37ppb Good	0.36ppm Good
Upper Moreland, Pennsylvania	38 Good	7.01μg/m³ Good	29.14μg/m³ Good	16.90ppb Good	0.45ppb Good	13.69ppb Good	0.40ppm Good
Warminster, Pennsylvania	38 Good	7.18μg/m³ Good	28.71μg/m³ Good	17.63ppb Good	0.45ppb Good	13.29ppb Good	0.40ppm Good
Warwick township, Pennsylvania	38 Good	7.13μg/m³ Good	28.33μg/m³ Good	18.13ppb Good	0.45ppb Good	13.22ppb Good	0.40ppm Good
Wyomissing, Pennsylvania	38 Good	7.15μg/m³ Good	31.72μg/m³ Good	20.40ppb Good	0.33ppb Good	7.28ppb Good	0.36ppm Good
Buckingham township, Pennsylvania	38 Good	6.87μg/m³ Good	27.98μg/m³ Good	15.40ppb Good	0.45ppb Good	12.59ppb Good	0.40ppm Good
Derry township, Pennsylvania	38 Good	6.99μg/m³ Good	30.96μg/m³ Good	24.17ppb Good	0.27ppb Good	7.24ppb Good	0.23ppm Good
Greene township, Pennsylvania	38 Good	5.72μg/m³ Good	24.11μg/m³ Good	41.14ppb Good	0.22ppb Good	4.36ppb Good	0.24ppm Good
Lower Makefield, Pennsylvania	38 Good	6.93μg/m³ Good	27.87μg/m³ Good	15.33ppb Good	0.45ppb Good	11.06ppb Good	0.39ppm Good
Lower Moreland, Pennsylvania	38 Good	6.89μg/m³ Good	29.64μg/m³ Good	16.23ppb Good	0.43ppb Good	12.05ppb Good	0.36ppm Good
Upper Southampton, Pennsylvania	38 Good	6.89μg/m³ Good	29.64μg/m³ Good	16.23ppb Good	0.43ppb Good	12.05ppb Good	0.36ppm Good
Spring township, Pennsylvania	38 Good	6.99μg/m³ Good	30.93μg/m³ Good	21.62ppb Good	0.32ppb Good	7.38ppb Good	0.35ppm Good
Chestnuthill, Pennsylvania	38 Good	6.71μg/m³ Good	26.23μg/m³ Good	14.68ppb Good	0.46ppb Good	8.18ppb Good	0.41ppm Good
Forks township, Pennsylvania	38 Good	6.71μg/m³ Good	26.23μg/m³ Good	14.68ppb Good	0.46ppb Good	8.18ppb Good	0.41ppm Good
Dunmore, Pennsylvania	38 Good	6.82μg/m³ Good	30.34μg/m³ Good	21.95ppb Good	0.46ppb Good	7.93ppb Good	0.40ppm Good
Easton, Pennsylvania	38 Good	6.68μg/m³ Good	26.24μg/m³ Good	14.60ppb Good	0.46ppb Good	8.32ppb Good	0.40ppm Good
Lower Southampton, Pennsylvania	38 Good	6.69μg/m³ Good	30.38μg/m³ Good	16.88ppb Good	0.44ppb Good	10.96ppb Good	0.38ppm Good
Newtown township, Pennsylvania	38 Good	6.78μg/m³ Good	27.68μg/m³ Good	16.39ppb Good	0.45ppb Good	11.09ppb Good	0.39ppm Good
Penn Forest, Pennsylvania	38 Good	6.73μg/m³ Good	28.30μg/m³ Good	20.38ppb Good	0.44ppb Good	8.48ppb Good	0.41ppm Good
Scranton, Pennsylvania	38 Good	6.72μg/m³ Good	29.65μg/m³ Good	22.89ppb Good	0.46ppb Good	7.85ppb Good	0.40ppm Good
Spring Garden, Pennsylvania	38 Good	6.71μg/m³ Good	29.59μg/m³ Good	17.97ppb Good	0.54ppb Good	15.46ppb Good	0.42ppm Good
West Hanover, Pennsylvania	38 Good	6.79μg/m³ Good	30.29μg/m³ Good	25.35ppb Good	0.26ppb Good	7.16ppb Good	0.23ppm Good
Bloomsburg, Pennsylvania	33 Good	6.47μg/m³ Good	19.28μg/m³ Good	24.15ppb Good	0.64ppb Good	7.04ppb Good	0.33ppm Good
Dover township, Pennsylvania	33 Good	6.50μg/m³ Good	24.25μg/m³ Good	28.70ppb Good	0.19ppb Good	7.21ppb Good	0.23ppm Good
Elizabethtown, Pennsylvania	38 Good	6.54μg/m³ Good	28.53μg/m³ Good	27.51ppb Good	0.26ppb Good	7.08ppb Good	0.23ppm Good
Mount Joy township, Pennsylvania	38 Good	6.54μg/m³ Good	28.53μg/m³ Good	27.51ppb Good	0.26ppb Good	7.08ppb Good	0.23ppm Good
Fairview township, Pennsylvania	33 Good	6.47μg/m³ Good	29.22μg/m³ Good	26.14ppb Good	0.26ppb Good	7.11ppb Good	0.23ppm Good
Lebanon city, Pennsylvania	38 Good	6.50μg/m³ Good	29.00μg/m³ Good	27.98ppb Good	0.32ppb Good	7.68ppb Good	0.32ppm Good
Lehman township, Pennsylvania	33 Good	6.47μg/m³ Good	31.84μg/m³ Good	17.79ppb Good	0.49ppb Good	7.53ppb Good	0.38ppm Good
Lehigh township, Pennsylvania	38 Good	6.61μg/m³ Good	26.21μg/m³ Good	19.59ppb Good	0.34ppb Good	8.29ppb Good	0.41ppm Good
Lower Paxton, Pennsylvania	38 Good	6.58μg/m³ Good	29.59μg/m³ Good	25.85ppb Good	0.26ppb Good	7.12ppb Good	0.23ppm Good
Middletown township, Pennsylvania	33 Good	6.47μg/m³ Good	30.05μg/m³ Good	18.93ppb Good	0.44ppb Good	10.36ppb Good	0.39ppm Good
North Lebanon, Pennsylvania	33 Good	6.49μg/m³ Good	28.96μg/m³ Good	27.73ppb Good	0.32ppb Good	7.63ppb Good	0.31ppm Good
North Whitehall, Pennsylvania	38 Good	6.55μg/m³ Good	26.20μg/m³ Good	20.84ppb Good	0.34ppb Good	10.65ppb Good	0.41ppm Good
Philadelphia, Pennsylvania	38 Good	6.55μg/m³ Good	28.80μg/m³ Good	18.12ppb Good	0.55ppb Good	15.24ppb Good	0.41ppm Good
South Lebanon, Pennsylvania	38 Good	6.50μg/m³ Good	29.00μg/m³ Good	27.99ppb Good	0.32ppb Good	7.68ppb Good	0.32ppm Good
Susquehanna township, Pennsylvania	33 Good	6.48μg/m³ Good	29.24μg/m³ Good	26.06ppb Good	0.26ppb Good	7.10ppb Good	0.23ppm Good
Swatara township, Pennsylvania	38 Good	6.50μg/m³ Good	29.34μg/m³ Good	25.95ppb Good	0.26ppb Good	7.13ppb Good	0.23ppm Good
Upper Macungie, Pennsylvania	33 Good	6.49μg/m³ Good	26.20μg/m³ Good	20.49ppb Good	0.34ppb Good	10.97ppb Good	0.41ppm Good
Berwick borough, Pennsylvania	33 Good	6.40μg/m³ Good	28.60μg/m³ Good	35.55ppb Good	2.71ppb Good	2.31ppb Good	0.18ppm Good

City	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
No results found

0.20ppm

How accurate is Pennsylvania, USA air quality data?

Air quality data and pollutant measurements for Pennsylvania, USA adhere to strict US EPA standards. The data is collected from multiple reliable sources, including satellites and ground-based monitoring stations. This data is further analyzed and enhanced using machine learning and advanced algorithms that factor in elements such as traffic and population density, ensuring accurate and reliable results.

Source: Ambee Data Sources

Air quality levels in US

Check live rankings of places in the USA affected by air pollution.

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Frequently asked questions

How often is the air quality data for Pennsylvania, USA updated?

The air quality for Pennsylvania, USA is updated every hour.

When was the worst air quality at Pennsylvania, USA in the last 24 hrs?

The worst air quality in Pennsylvania, USA in the last 24 hours was observed at 10:00:00 on 2025-09-03.

When was the best air quality at Pennsylvania, USA in the last 24 hrs?

In the last 24 hrs, the best air quality in Pennsylvania, USA was observed at 12:00:00 on 2025-09-04.

What is the current air quality in Pennsylvania, USA?

The current air quality in Pennsylvania, USA is 33, categorized as Good based on real-time data.

What pollutant is the most common in Pennsylvania, USA?

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

What should I do if the air quality in Pennsylvania, USA is poor?

If the air quality in Pennsylvania, USA is poor, consider staying indoors and wearing a mask to protect yourself.

What is the current concentration of PM_2.5 in Pennsylvania, USA?

The current PM_2.5 concentration at Pennsylvania, USA is 5.754 μg/m³.

What is the current concentration of PM₁₀ in Pennsylvania, USA?

The current PM₁₀ concentration at Pennsylvania, USA is 24.571 μg/m³.

What is the current concentration of carbon monoxide (CO) in Pennsylvania, USA?

The current carbon monoxide (CO) concentration at Pennsylvania, USA is 0.317 ppm.

What is the current concentration of sulfur dioxide (SO₂) in Pennsylvania, USA?

The current sulfur dioxide (SO₂) concentration at Pennsylvania, USA is 0.614 ppb.

What is the current concentration of ozone (O₃) in Pennsylvania, USA?

The current ozone (O₃) concentration at Pennsylvania, USA is 24.68 ppm.

What is the current concentration of nitrogen dioxide (NO₂) in Pennsylvania, USA?

The current nitrogen dioxide (NO₂) concentration at Pennsylvania, USA is 8.279 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-09-02T16:00:00.000Z	33 \| good	4.131 \| good	18.142 \| good	36.417 \| good	0.181 \| good	2.693 \| good	0.161 \| good
2025-09-02T17:00:00.000Z	36 \| good	4.124 \| good	18.096 \| good	39.337 \| good	0.181 \| good	1.475 \| good	0.159 \| good
2025-09-02T18:00:00.000Z	37 \| good	4.116 \| good	18.091 \| good	39.925 \| good	0.184 \| good	1.507 \| good	0.159 \| good
2025-09-02T19:00:00.000Z	40 \| good	4.114 \| good	18.069 \| good	42.653 \| good	0.205 \| good	2.119 \| good	0.18 \| good
2025-09-02T20:00:00.000Z	42 \| good	4.007 \| good	18.006 \| good	44.592 \| good	0.175 \| good	1.648 \| good	0.179 \| good
2025-09-02T21:00:00.000Z	43 \| good	3.967 \| good	17.508 \| good	45.699 \| good	0.197 \| good	1.433 \| good	0.184 \| good
2025-09-02T22:00:00.000Z	41 \| good	3.921 \| good	17.059 \| good	43.663 \| good	0.122 \| good	1.549 \| good	0.184 \| good
2025-09-02T23:00:00.000Z	34 \| good	3.821 \| good	16.983 \| good	37.179 \| good	0.178 \| good	1.385 \| good	0.224 \| good
2025-09-03T00:00:00.000Z	35 \| good	3.964 \| good	17.262 \| good	38.045 \| good	0.217 \| good	2.095 \| good	0.206 \| good
2025-09-03T01:00:00.000Z	32 \| good	3.972 \| good	17.476 \| good	34.864 \| good	0.226 \| good	2.766 \| good	0.187 \| good
2025-09-03T02:00:00.000Z	31 \| good	4.058 \| good	18.156 \| good	33.247 \| good	0.212 \| good	5.828 \| good	0.209 \| good
2025-09-03T03:00:00.000Z	49 \| good	9.287 \| good	41.052 \| good	28.027 \| good	1.741 \| good	7.634 \| good	0.241 \| good
2025-09-03T04:00:00.000Z	24 \| good	4.057 \| good	18.241 \| good	26.171 \| good	0.222 \| good	5.319 \| good	0.242 \| good
2025-09-03T05:00:00.000Z	22 \| good	4.131 \| good	18.496 \| good	20.801 \| good	0.181 \| good	5.319 \| good	0.236 \| good
2025-09-03T06:00:00.000Z	22 \| good	4.148 \| good	18.494 \| good	21.24 \| good	0.222 \| good	11.335 \| good	0.237 \| good
2025-09-03T07:00:00.000Z	23 \| good	4.056 \| good	18.132 \| good	25.418 \| good	0.222 \| good	6.729 \| good	0.257 \| good
2025-09-03T08:00:00.000Z	22 \| good	4.161 \| good	18.112 \| good	19.761 \| good	0.225 \| good	6.906 \| good	0.238 \| good
2025-09-03T09:00:00.000Z	23 \| good	4.144 \| good	18.131 \| good	24.978 \| good	0.222 \| good	6.757 \| good	0.216 \| good
2025-09-03T10:00:00.000Z	22 \| good	4.206 \| good	18.635 \| good	18.441 \| good	0.228 \| good	6.338 \| good	0.218 \| good
2025-09-03T11:00:00.000Z	22 \| good	4.197 \| good	18.682 \| good	21.357 \| good	0.192 \| good	7.806 \| good	0.241 \| good
2025-09-03T12:00:00.000Z	22 \| good	4.424 \| good	20.078 \| good	23.468 \| good	0.376 \| good	7.403 \| good	0.323 \| good
2025-09-03T13:00:00.000Z	26 \| good	4.454 \| good	19.698 \| good	28.027 \| good	0.408 \| good	7.504 \| good	0.348 \| good
2025-09-03T14:00:00.000Z	26 \| good	4.268 \| good	18.958 \| good	28.126 \| good	0.319 \| good	6.892 \| good	0.326 \| good
2025-09-03T15:00:00.000Z	29 \| good	4.343 \| good	19.725 \| good	30.852 \| good	0.266 \| good	5.484 \| good	0.226 \| good
2025-09-03T16:00:00.000Z	31 \| good	4.48 \| good	19.44 \| good	32.806 \| good	0.184 \| good	4.002 \| good	0.206 \| good
2025-09-03T17:00:00.000Z	39 \| good	4.573 \| good	20.292 \| good	42.139 \| good	0.199 \| good	4.508 \| good	0.184 \| good
2025-09-03T18:00:00.000Z	43 \| good	4.562 \| good	20.416 \| good	45.507 \| good	0.181 \| good	4.46 \| good	0.184 \| good
2025-09-03T19:00:00.000Z	46 \| good	4.426 \| good	19.062 \| good	49.514 \| good	0.144 \| good	4.332 \| good	0.19 \| good
2025-09-03T20:00:00.000Z	45 \| good	4.346 \| good	19.204 \| good	49.03 \| good	0.145 \| good	2.725 \| good	0.185 \| good
2025-09-03T21:00:00.000Z	44 \| good	4.13 \| good	18.11 \| good	48.346 \| good	0.165 \| good	2.567 \| good	0.185 \| good
2025-09-03T22:00:00.000Z	46 \| good	4.043 \| good	18.175 \| good	49.566 \| good	0.242 \| good	1.605 \| good	0.182 \| good
2025-09-03T23:00:00.000Z	45 \| good	4.042 \| good	18.397 \| good	49.338 \| good	0.203 \| good	1.789 \| good	0.201 \| good
2025-09-04T00:00:00.000Z	44 \| good	4.13 \| good	18.406 \| good	46.904 \| good	0.203 \| good	1.765 \| good	0.201 \| good
2025-09-04T01:00:00.000Z	44 \| good	4.28 \| good	19.397 \| good	47.066 \| good	0.213 \| good	3.022 \| good	0.236 \| good
2025-09-04T02:00:00.000Z	39 \| good	4.272 \| good	19.411 \| good	42.284 \| good	0.292 \| good	3.095 \| good	0.204 \| good
2025-09-04T03:00:00.000Z	42 \| good	4.263 \| good	19.296 \| good	45.226 \| good	0.362 \| good	3.252 \| good	0.2 \| good
2025-09-04T04:00:00.000Z	38 \| good	4.201 \| good	18.392 \| good	40.526 \| good	0.258 \| good	3.185 \| good	0.18 \| good
2025-09-04T05:00:00.000Z	40 \| good	4.269 \| good	19.325 \| good	43.096 \| good	0.239 \| good	3.718 \| good	0.218 \| good
2025-09-04T06:00:00.000Z	40 \| good	4.266 \| good	19.355 \| good	42.866 \| good	0.225 \| good	4.148 \| good	0.162 \| good
2025-09-04T07:00:00.000Z	38 \| good	4.256 \| good	19.303 \| good	41.313 \| good	0.277 \| good	3.22 \| good	0.165 \| good
2025-09-04T08:00:00.000Z	35 \| good	4.275 \| good	19.165 \| good	37.966 \| good	0.314 \| good	3.645 \| good	0.166 \| good
2025-09-04T09:00:00.000Z	27 \| good	4.293 \| good	19.427 \| good	29.411 \| good	0.295 \| good	4.458 \| good	0.183 \| good
2025-09-04T10:00:00.000Z	29 \| good	4.377 \| good	19.481 \| good	30.807 \| good	0.277 \| good	5.669 \| good	0.183 \| good
2025-09-04T11:00:00.000Z	31 \| good	4.39 \| good	19.479 \| good	32.543 \| good	0.237 \| good	7.016 \| good	0.221 \| good
2025-09-04T12:00:00.000Z	27 \| good	4.564 \| good	19.5 \| good	25.958 \| good	0.261 \| good	6.654 \| good	0.224 \| good
2025-09-04T13:00:00.000Z	33 \| good	5.788 \| good	25.443 \| good	26.279 \| good	1.421 \| good	2.731 \| good	0.183 \| good
2025-09-04T14:00:00.000Z	29 \| good	4.592 \| good	19.836 \| good	30.527 \| good	0.207 \| good	4.675 \| good	0.209 \| good
2025-09-04T15:00:00.000Z	33 \| good	5.83 \| good	25.049 \| good	28.289 \| good	0.584 \| good	7.446 \| good	0.285 \| good
2025-09-04T16:00:00.000Z	41 \| good	5.947 \| good	26.935 \| good	44.013 \| good	1.233 \| good	0.833 \| good	0.176 \| good
2025-09-04T17:00:00.000Z	41 \| good	5.835 \| good	25.246 \| good	44.118 \| good	1.146 \| good	0.696 \| good	0.172 \| good
2025-09-04T18:00:00.000Z	33 \| good	6.329 \| good	28.06 \| good	35.636 \| good	1.06 \| good	0.559 \| good	0.169 \| good
2025-09-04T19:00:00.000Z	38 \| good	6.501 \| good	29.242 \| good	33.156 \| good	0.948 \| good	0.844 \| good	0.168 \| good
2025-09-04T20:00:00.000Z	54 \| moderate	10.57 \| good	46.93 \| good	37.319 \| good	0.835 \| good	1.128 \| good	0.168 \| good
2025-09-04T21:00:00.000Z	52 \| moderate	9.626 \| good	43.005 \| good	41.902 \| good	0.723 \| good	1.412 \| good	0.168 \| good
2025-09-04T22:00:00.000Z	38 \| good	6.818 \| good	30.229 \| good	39.409 \| good	0.935 \| good	1.941 \| good	0.175 \| good
2025-09-04T23:00:00.000Z	33 \| good	6.293 \| good	28.019 \| good	34.668 \| good	1.146 \| good	2.47 \| good	0.182 \| good
2025-09-05T00:00:00.000Z	26 \| good	3.705 \| good	16.39 \| good	28.141 \| good	1.358 \| good	2.999 \| good	0.188 \| good
2025-09-05T01:00:00.000Z	27 \| good	4.01 \| good	17.371 \| good	28.91 \| good	1.525 \| good	3.021 \| good	0.19 \| good
2025-09-05T02:00:00.000Z	25 \| good	2.81 \| good	11.526 \| good	27.064 \| good	1.692 \| good	3.043 \| good	0.192 \| good
2025-09-05T03:00:00.000Z	24 \| good	3.44 \| good	15.191 \| good	26.473 \| good	1.859 \| good	3.065 \| good	0.193 \| good
2025-09-05T04:00:00.000Z	22 \| good	1.433 \| good	5.703 \| good	23.791 \| good	1.888 \| good	3.188 \| good	0.195 \| good
2025-09-05T05:00:00.000Z	19 \| good	1.314 \| good	5.285 \| good	19.875 \| good	1.917 \| good	3.312 \| good	0.197 \| good
2025-09-05T06:00:00.000Z	16 \| good	1.634 \| good	6.903 \| good	16.647 \| good	1.945 \| good	3.435 \| good	0.199 \| good
2025-09-05T07:00:00.000Z	16 \| good	2.694 \| good	10.842 \| good	15.01 \| good	1.804 \| good	3.984 \| good	0.203 \| good
2025-09-05T08:00:00.000Z	16 \| good	3.303 \| good	14.238 \| good	14.437 \| good	1.662 \| good	4.533 \| good	0.207 \| good
2025-09-05T09:00:00.000Z	22 \| good	4.009 \| good	17.685 \| good	15.865 \| good	1.52 \| good	5.082 \| good	0.211 \| good
2025-09-05T10:00:00.000Z	33 \| good	6.406 \| good	28.558 \| good	15.44 \| good	1.469 \| good	4.667 \| good	0.212 \| good
2025-09-05T11:00:00.000Z	44 \| good	7.823 \| good	34.664 \| good	17.321 \| good	1.418 \| good	4.252 \| good	0.214 \| good
2025-09-05T12:00:00.000Z	52 \| moderate	9.541 \| good	42.447 \| good	21.194 \| good	1.366 \| good	3.837 \| good	0.215 \| good
2025-09-05T13:00:00.000Z	49 \| good	8.98 \| good	39.303 \| good	28.624 \| good	1.638 \| good	2.843 \| good	0.208 \| good
2025-09-05T14:00:00.000Z	44 \| good	8.051 \| good	35.363 \| good	32.705 \| good	1.91 \| good	1.85 \| good	0.202 \| good
2025-09-05T15:00:00.000Z	44 \| good	7.775 \| good	33.959 \| good	38.691 \| good	2.181 \| good	0.856 \| good	0.195 \| good
2025-09-05T16:00:00.000Z	43 \| good	5.164 \| good	22.629 \| good	46.25 \| good	1.953 \| good	0.725 \| good	0.186 \| good
2025-09-05T17:00:00.000Z	48 \| good	3.556 \| good	15.975 \| good	51.508 \| good	1.724 \| good	0.595 \| good	0.177 \| good
2025-09-05T18:00:00.000Z	51 \| moderate	3.122 \| good	13.692 \| good	54.869 \| good	1.495 \| good	0.464 \| good	0.168 \| good
2025-09-05T19:00:00.000Z	50 \| good	2.399 \| good	10 \| good	53.945 \| good	1.34 \| good	0.517 \| good	0.166 \| good
2025-09-05T20:00:00.000Z	50 \| good	2.548 \| good	10.104 \| good	54.237 \| good	1.184 \| good	0.57 \| good	0.163 \| good
2025-09-05T21:00:00.000Z	46 \| good	4.119 \| good	17.928 \| good	50.43 \| good	1.028 \| good	0.623 \| good	0.16 \| good
2025-09-05T22:00:00.000Z	48 \| good	5.38 \| good	22.909 \| good	51.857 \| good	0.986 \| good	1.572 \| good	0.169 \| good
2025-09-05T23:00:00.000Z	38 \| good	5.182 \| good	22.749 \| good	41.084 \| good	0.944 \| good	2.52 \| good	0.177 \| good
2025-09-06T00:00:00.000Z	34 \| good	3.874 \| good	17.06 \| good	37.364 \| good	0.901 \| good	3.469 \| good	0.186 \| good
2025-09-06T01:00:00.000Z	29 \| good	5.258 \| good	22.929 \| good	30.783 \| good	0.93 \| good	3.734 \| good	0.191 \| good
2025-09-06T02:00:00.000Z	24 \| good	3.162 \| good	14.094 \| good	25.503 \| good	0.958 \| good	3.999 \| good	0.196 \| good
2025-09-06T03:00:00.000Z	22 \| good	3.543 \| good	16.021 \| good	21.405 \| good	0.987 \| good	4.263 \| good	0.201 \| good
2025-09-06T04:00:00.000Z	33 \| good	5.921 \| good	27 \| good	20.963 \| good	0.928 \| good	4.069 \| good	0.202 \| good
2025-09-06T05:00:00.000Z	33 \| good	5.938 \| good	27 \| good	21.138 \| good	0.868 \| good	3.875 \| good	0.203 \| good
2025-09-06T06:00:00.000Z	38 \| good	6.817 \| good	29.903 \| good	22.317 \| good	0.809 \| good	3.681 \| good	0.205 \| good
2025-09-06T07:00:00.000Z	38 \| good	7.041 \| good	31.006 \| good	22.974 \| good	0.865 \| good	3.94 \| good	0.206 \| good
2025-09-06T08:00:00.000Z	38 \| good	7.018 \| good	30.929 \| good	21.621 \| good	0.92 \| good	4.199 \| good	0.207 \| good
2025-09-06T09:00:00.000Z	33 \| good	5.76 \| good	25 \| good	19.689 \| good	0.976 \| good	4.458 \| good	0.207 \| good
2025-09-06T10:00:00.000Z	27 \| good	4.801 \| good	20.892 \| good	19.608 \| good	1.036 \| good	4.76 \| good	0.216 \| good
2025-09-06T11:00:00.000Z	27 \| good	5.152 \| good	22.137 \| good	18.213 \| good	1.096 \| good	5.061 \| good	0.224 \| good
2025-09-06T12:00:00.000Z	27 \| good	4.892 \| good	21.241 \| good	20.394 \| good	1.156 \| good	5.363 \| good	0.232 \| good
2025-09-06T13:00:00.000Z	27 \| good	5.123 \| good	21.994 \| good	24.128 \| good	1.527 \| good	3.891 \| good	0.22 \| good
2025-09-06T14:00:00.000Z	33 \| good	5.925 \| good	26.859 \| good	28.902 \| good	1.898 \| good	2.419 \| good	0.209 \| good
2025-09-06T15:00:00.000Z	33 \| good	6.122 \| good	27.24 \| good	34.054 \| good	2.27 \| good	0.948 \| good	0.197 \| good

Pennsylvania, USA live air quality index now

Major air pollutants in Pennsylvania, USA

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Pennsylvania, USA air quality forecast and history

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Air quality in cities of Pennsylvania, USA

Air quality in nearby states

Maryland, USA

New Jersey, USA

New York, USA

Delaware, USA

Connecticut, USA

West Virginia, USA

How accurate is Pennsylvania, USA air quality data?

Air quality levels in US

Frequently asked questions

How often is the air quality data for Pennsylvania, USA updated?

When was the worst air quality at Pennsylvania, USA in the last 24 hrs?

When was the best air quality at Pennsylvania, USA in the last 24 hrs?

What is the current air quality in Pennsylvania, USA?

What pollutant is the most common in Pennsylvania, USA?

What should I do if the air quality in Pennsylvania, USA is poor?

What is the current concentration of PM2.5 in Pennsylvania, USA?

What is the current concentration of PM10 in Pennsylvania, USA?

What is the current concentration of carbon monoxide (CO) in Pennsylvania, USA?

What is the current concentration of sulfur dioxide (SO2) in Pennsylvania, USA?

What is the current concentration of ozone (O3) in Pennsylvania, USA?

What is the current concentration of nitrogen dioxide (NO2) in Pennsylvania, USA?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What is the current concentration of PM_2.5 in Pennsylvania, USA?

What is the current concentration of PM₁₀ in Pennsylvania, USA?

What is the current concentration of sulfur dioxide (SO₂) in Pennsylvania, USA?

What is the current concentration of ozone (O₃) in Pennsylvania, USA?

What is the current concentration of nitrogen dioxide (NO₂) in Pennsylvania, USA?