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

The current PM10 concentration at Pennsylvania, USA is 11.286 μg/m3.

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

The current sulfur dioxide (SO2) concentration at Pennsylvania, USA is 0.429 ppb.

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

The current ozone (O3) concentration at Pennsylvania, USA is 29.188 ppm.

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

The current nitrogen dioxide (NO2) concentration at Pennsylvania, USA is 2.625 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)

2.73 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

11.01 μg/m³

155

255

425

605+

Ozone (O₃)

28.24 ppb

201

201+

Sulfur Dioxide (SO₂)

0.35 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

2.96 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.18 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

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
2025-10-19T00:00:00.000Z	36 \| good	4.948 \| good	21.77 \| good	38.66 \| good	0.283 \| good	3.635 \| good	0.268 \| good
2025-10-19T01:00:00.000Z	35 \| good	5.771 \| good	24.936 \| good	37.739 \| good	0.374 \| good	4.489 \| good	0.31 \| good
2025-10-19T02:00:00.000Z	35 \| good	5.955 \| good	26.322 \| good	37.784 \| good	0.386 \| good	8.236 \| good	0.29 \| good
2025-10-19T03:00:00.000Z	33 \| good	6.054 \| good	27.494 \| good	32.652 \| good	0.449 \| good	13.965 \| good	0.288 \| good
2025-10-19T04:00:00.000Z	33 \| good	5.644 \| good	24.474 \| good	34.282 \| good	0.301 \| good	11.428 \| good	0.288 \| good
2025-10-19T05:00:00.000Z	27 \| good	5.46 \| good	23.684 \| good	27.597 \| good	0.28 \| good	13.668 \| good	0.394 \| good
2025-10-19T06:00:00.000Z	33 \| good	5.513 \| good	23.699 \| good	21.826 \| good	0.724 \| good	14.108 \| good	0.289 \| good
2025-10-19T07:00:00.000Z	33 \| good	5.621 \| good	24.448 \| good	22.511 \| good	0.637 \| good	14.279 \| good	0.291 \| good
2025-10-19T08:00:00.000Z	27 \| good	5.29 \| good	23.71 \| good	22.903 \| good	0.785 \| good	9.768 \| good	0.266 \| good
2025-10-19T09:00:00.000Z	27 \| good	5.374 \| good	23.817 \| good	20.571 \| good	0.814 \| good	8.613 \| good	0.265 \| good
2025-10-19T10:00:00.000Z	27 \| good	5.308 \| good	23.242 \| good	23.61 \| good	0.233 \| good	9.412 \| good	0.265 \| good
2025-10-19T11:00:00.000Z	27 \| good	5.382 \| good	23.026 \| good	18.56 \| good	0.22 \| good	9.139 \| good	0.222 \| good
2025-10-19T12:00:00.000Z	27 \| good	5.321 \| good	23.068 \| good	19.898 \| good	0.191 \| good	11.11 \| good	0.266 \| good
2025-10-19T13:00:00.000Z	27 \| good	5.318 \| good	23.014 \| good	23.025 \| good	0.202 \| good	11.493 \| good	0.266 \| good
2025-10-19T14:00:00.000Z	27 \| good	5.418 \| good	24.169 \| good	24.751 \| good	0.223 \| good	7.612 \| good	0.227 \| good
2025-10-19T15:00:00.000Z	33 \| good	6.186 \| good	27.971 \| good	28.102 \| good	0.276 \| good	4.561 \| good	0.225 \| good
2025-10-19T16:00:00.000Z	38 \| good	7.038 \| good	31.899 \| good	38.895 \| good	0.302 \| good	4.794 \| good	0.204 \| good
2025-10-19T17:00:00.000Z	44 \| good	8.022 \| good	35.616 \| good	38.254 \| good	0.266 \| good	3.944 \| good	0.204 \| good
2025-10-19T18:00:00.000Z	49 \| good	9.213 \| good	41.463 \| good	38.897 \| good	0.245 \| good	4.186 \| good	0.166 \| good
2025-10-19T19:00:00.000Z	52 \| moderate	9.857 \| good	43.688 \| good	41.562 \| good	0.342 \| good	2.642 \| good	0.202 \| good
2025-10-19T20:00:00.000Z	52 \| moderate	10.189 \| good	45.01 \| good	44.105 \| good	0.324 \| good	2.095 \| good	0.182 \| good
2025-10-19T21:00:00.000Z	52 \| moderate	10.067 \| good	44.849 \| good	43.505 \| good	0.302 \| good	2.602 \| good	0.164 \| good
2025-10-19T22:00:00.000Z	49 \| good	9.118 \| good	41.102 \| good	44.513 \| good	0.304 \| good	3.333 \| good	0.166 \| good
2025-10-19T23:00:00.000Z	49 \| good	8.799 \| good	38.671 \| good	45.561 \| good	0.305 \| good	3.373 \| good	0.164 \| good
2025-10-20T00:00:00.000Z	49 \| good	8.952 \| good	40.613 \| good	43.885 \| good	0.353 \| good	3.35 \| good	0.164 \| good
2025-10-20T01:00:00.000Z	49 \| good	8.728 \| good	38.574 \| good	45.375 \| good	0.313 \| good	3.488 \| good	0.203 \| good
2025-10-20T02:00:00.000Z	41 \| good	7.262 \| good	31.631 \| good	43.81 \| good	0.26 \| good	3.467 \| good	0.166 \| good
2025-10-20T03:00:00.000Z	38 \| good	4.598 \| good	20.259 \| good	41.329 \| good	0.239 \| good	3.712 \| good	0.144 \| good
2025-10-20T04:00:00.000Z	39 \| good	3.419 \| good	15.8 \| good	41.952 \| good	0.221 \| good	3.306 \| good	0.144 \| good
2025-10-20T05:00:00.000Z	35 \| good	2.903 \| good	12.68 \| good	37.858 \| good	0.223 \| good	3.339 \| good	0.144 \| good
2025-10-20T06:00:00.000Z	31 \| good	2.626 \| good	11.069 \| good	34.122 \| good	0.27 \| good	2.829 \| good	0.142 \| good
2025-10-20T07:00:00.000Z	35 \| good	2.177 \| good	8.995 \| good	37.905 \| good	0.272 \| good	3.063 \| good	0.142 \| good
2025-10-20T08:00:00.000Z	30 \| good	2.065 \| good	8.86 \| good	32.333 \| good	0.203 \| good	5.144 \| good	0.14 \| good
2025-10-20T09:00:00.000Z	28 \| good	1.977 \| good	7.973 \| good	29.828 \| good	0.199 \| good	6.767 \| good	0.14 \| good
2025-10-20T10:00:00.000Z	22 \| good	1.946 \| good	7.772 \| good	24.176 \| good	0.218 \| good	4.91 \| good	0.142 \| good
2025-10-20T11:00:00.000Z	28 \| good	1.761 \| good	7.749 \| good	30.266 \| good	0.235 \| good	4.93 \| good	0.142 \| good
2025-10-20T12:00:00.000Z	26 \| good	1.409 \| good	6.13 \| good	27.905 \| good	0.235 \| good	3.747 \| good	0.148 \| good
2025-10-20T13:00:00.000Z	20 \| good	1.191 \| good	4.974 \| good	22.143 \| good	0.221 \| good	3.797 \| good	0.165 \| good
2025-10-20T14:00:00.000Z	26 \| good	1.097 \| good	5.046 \| good	27.688 \| good	0.238 \| good	3.225 \| good	0.144 \| good
2025-10-20T15:00:00.000Z	19 \| good	1.203 \| good	5.018 \| good	21.329 \| good	0.22 \| good	2.897 \| good	0.126 \| good
2025-10-20T16:00:00.000Z	25 \| good	1.45 \| good	5.895 \| good	26.918 \| good	0.238 \| good	3.156 \| good	0.128 \| good
2025-10-20T17:00:00.000Z	25 \| good	1.636 \| good	6.739 \| good	26.61 \| good	0.301 \| good	2.709 \| good	0.147 \| good
2025-10-20T18:00:00.000Z	25 \| good	1.848 \| good	7.753 \| good	27.038 \| good	0.219 \| good	2.499 \| good	0.141 \| good
2025-10-20T19:00:00.000Z	25 \| good	1.782 \| good	7.907 \| good	27.395 \| good	0.199 \| good	2.074 \| good	0.141 \| good
2025-10-20T20:00:00.000Z	26 \| good	1.704 \| good	7.018 \| good	27.797 \| good	0.273 \| good	2.028 \| good	0.141 \| good
2025-10-20T21:00:00.000Z	27 \| good	1.818 \| good	8.153 \| good	28.694 \| good	0.197 \| good	1.879 \| good	0.141 \| good
2025-10-20T22:00:00.000Z	28 \| good	1.924 \| good	8.18 \| good	29.8 \| good	0.334 \| good	1.143 \| good	0.141 \| good
2025-10-20T23:00:00.000Z	27 \| good	2.2 \| good	8.988 \| good	28.94 \| good	0.146 \| good	1.205 \| good	0.124 \| good
2025-10-20T23:00:00.000Z	26 \| good	2.725 \| good	11.008 \| good	28.241 \| good	0.35 \| good	2.955 \| good	0.178 \| good
2025-10-20T23:00:00.000Z	30 \| good	3.552 \| good	15.901 \| good	32.197 \| good	0.139 \| good	1.417 \| good	0.114 \| good
2025-10-21T00:00:00.000Z	29 \| good	3.345 \| good	14.835 \| good	30.866 \| good	0.147 \| good	1.859 \| good	0.117 \| good
2025-10-21T01:00:00.000Z	27 \| good	4.887 \| good	20.906 \| good	25.424 \| good	0.174 \| good	2.273 \| good	0.12 \| good
2025-10-21T02:00:00.000Z	27 \| good	5.123 \| good	21.902 \| good	21.746 \| good	0.202 \| good	2.688 \| good	0.123 \| good
2025-10-21T03:00:00.000Z	22 \| good	4.214 \| good	18.687 \| good	20.571 \| good	0.229 \| good	3.102 \| good	0.125 \| good
2025-10-21T04:00:00.000Z	18 \| good	3.44 \| good	15 \| good	18.731 \| good	0.255 \| good	3.253 \| good	0.126 \| good
2025-10-21T05:00:00.000Z	22 \| good	3.992 \| good	17.774 \| good	16.768 \| good	0.281 \| good	3.405 \| good	0.126 \| good
2025-10-21T06:00:00.000Z	16 \| good	3.464 \| good	15.215 \| good	15.895 \| good	0.307 \| good	3.556 \| good	0.126 \| good
2025-10-21T07:00:00.000Z	16 \| good	2.88 \| good	11.93 \| good	15.076 \| good	0.419 \| good	3.786 \| good	0.127 \| good
2025-10-21T08:00:00.000Z	16 \| good	2.524 \| good	10.242 \| good	14.545 \| good	0.53 \| good	4.016 \| good	0.128 \| good
2025-10-21T09:00:00.000Z	16 \| good	3.012 \| good	12.68 \| good	14.703 \| good	0.641 \| good	4.247 \| good	0.129 \| good
2025-10-21T10:00:00.000Z	22 \| good	4.487 \| good	19.467 \| good	13.287 \| good	0.874 \| good	5.25 \| good	0.141 \| good
2025-10-21T11:00:00.000Z	22 \| good	4.39 \| good	19.39 \| good	9.498 \| good	1.108 \| good	6.254 \| good	0.153 \| good
2025-10-21T12:00:00.000Z	27 \| good	5.481 \| good	23.553 \| good	15.029 \| good	1.341 \| good	7.257 \| good	0.166 \| good
2025-10-21T13:00:00.000Z	33 \| good	5.906 \| good	25.3 \| good	20.385 \| good	1.766 \| good	5.563 \| good	0.159 \| good
2025-10-21T14:00:00.000Z	27 \| good	4.873 \| good	21.066 \| good	26.413 \| good	2.192 \| good	3.869 \| good	0.153 \| good
2025-10-21T15:00:00.000Z	31 \| good	4.336 \| good	19.067 \| good	34.318 \| good	2.618 \| good	2.175 \| good	0.146 \| good
2025-10-21T16:00:00.000Z	32 \| good	4.33 \| good	19.074 \| good	35.313 \| good	2.335 \| good	1.864 \| good	0.141 \| good
2025-10-21T17:00:00.000Z	33 \| good	4.743 \| good	20.368 \| good	36.302 \| good	2.052 \| good	1.553 \| good	0.137 \| good
2025-10-21T18:00:00.000Z	33 \| good	4.48 \| good	19.251 \| good	36.07 \| good	1.769 \| good	1.242 \| good	0.132 \| good
2025-10-21T19:00:00.000Z	36 \| good	4.838 \| good	21 \| good	39.291 \| good	1.901 \| good	1.31 \| good	0.133 \| good
2025-10-21T20:00:00.000Z	37 \| good	5.167 \| good	22.059 \| good	40.416 \| good	2.032 \| good	1.378 \| good	0.133 \| good
2025-10-21T21:00:00.000Z	37 \| good	5.253 \| good	23 \| good	40.061 \| good	2.164 \| good	1.446 \| good	0.134 \| good
2025-10-21T22:00:00.000Z	38 \| good	5.698 \| good	24.733 \| good	41.362 \| good	2.258 \| good	3.126 \| good	0.15 \| good
2025-10-21T23:00:00.000Z	38 \| good	6.934 \| good	30.759 \| good	37.941 \| good	2.353 \| good	4.805 \| good	0.165 \| good
2025-10-22T00:00:00.000Z	33 \| good	6.441 \| good	28.835 \| good	32.051 \| good	2.447 \| good	6.485 \| good	0.181 \| good
2025-10-22T01:00:00.000Z	38 \| good	7.254 \| good	32.1 \| good	26.03 \| good	2.567 \| good	5.841 \| good	0.175 \| good
2025-10-22T02:00:00.000Z	38 \| good	6.643 \| good	29.922 \| good	25.72 \| good	2.686 \| good	5.197 \| good	0.168 \| good
2025-10-22T03:00:00.000Z	27 \| good	4.883 \| good	21.206 \| good	24.753 \| good	2.806 \| good	4.553 \| good	0.161 \| good
2025-10-22T04:00:00.000Z	27 \| good	4.835 \| good	21.158 \| good	28.475 \| good	2.87 \| good	4.829 \| good	0.163 \| good
2025-10-22T05:00:00.000Z	26 \| good	4.147 \| good	17.965 \| good	28.477 \| good	2.934 \| good	5.106 \| good	0.164 \| good
2025-10-22T06:00:00.000Z	24 \| good	2.727 \| good	10.956 \| good	26.427 \| good	2.998 \| good	5.382 \| good	0.166 \| good
2025-10-22T07:00:00.000Z	25 \| good	2.627 \| good	10.755 \| good	26.628 \| good	3.072 \| good	4.7 \| good	0.159 \| good
2025-10-22T08:00:00.000Z	20 \| good	3.196 \| good	13.78 \| good	22.067 \| good	3.146 \| good	4.018 \| good	0.152 \| good
2025-10-22T09:00:00.000Z	24 \| good	4.323 \| good	18.933 \| good	25.974 \| good	3.22 \| good	3.335 \| good	0.145 \| good
2025-10-22T10:00:00.000Z	27 \| good	5.105 \| good	22.009 \| good	28.963 \| good	3.163 \| good	3.342 \| good	0.143 \| good
2025-10-22T11:00:00.000Z	27 \| good	3.885 \| good	16.998 \| good	28.714 \| good	3.107 \| good	3.348 \| good	0.141 \| good
2025-10-22T12:00:00.000Z	27 \| good	4.765 \| good	20.849 \| good	27.052 \| good	3.051 \| good	3.354 \| good	0.138 \| good
2025-10-22T13:00:00.000Z	24 \| good	3.906 \| good	17.019 \| good	26.223 \| good	2.513 \| good	2.716 \| good	0.135 \| good
2025-10-22T14:00:00.000Z	27 \| good	4.295 \| good	19 \| good	29.354 \| good	1.975 \| good	2.078 \| good	0.131 \| good
2025-10-22T15:00:00.000Z	28 \| good	3.46 \| good	15.05 \| good	30.207 \| good	1.438 \| good	1.441 \| good	0.128 \| good
2025-10-22T16:00:00.000Z	27 \| good	2.686 \| good	11.021 \| good	29.477 \| good	1.304 \| good	1.425 \| good	0.127 \| good
2025-10-22T17:00:00.000Z	27 \| good	3.318 \| good	14.897 \| good	29.339 \| good	1.17 \| good	1.41 \| good	0.126 \| good
2025-10-22T18:00:00.000Z	26 \| good	4.067 \| good	17.955 \| good	27.522 \| good	1.036 \| good	1.394 \| good	0.126 \| good
2025-10-22T19:00:00.000Z	28 \| good	4.561 \| good	19.955 \| good	30.32 \| good	1.155 \| good	1.588 \| good	0.126 \| good
2025-10-22T20:00:00.000Z	30 \| good	4.954 \| good	21.142 \| good	31.963 \| good	1.273 \| good	1.783 \| good	0.127 \| good
2025-10-22T21:00:00.000Z	30 \| good	5.28 \| good	22.955 \| good	32.035 \| good	1.392 \| good	1.978 \| good	0.128 \| good
2025-10-22T22:00:00.000Z	33 \| good	5.565 \| good	23.849 \| good	28.977 \| good	1.764 \| good	2.43 \| good	0.131 \| 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
Center township, Pennsylvania	33 Good	2.54μg/m³ Good	10.23μg/m³ Good	36.25ppb Good	0.94ppb Good	2.54ppb Good	0.16ppm Good
North Fayette, Pennsylvania	33 Good	2.79μg/m³ Good	11.96μg/m³ Good	35.64ppb Good	0.93ppb Good	2.57ppb Good	0.15ppm Good
South Fayette, Pennsylvania	32 Good	2.77μg/m³ Good	11.88μg/m³ Good	35.24ppb Good	0.92ppb Good	2.57ppb Good	0.15ppm Good
Cecil, Pennsylvania	31 Good	2.64μg/m³ Good	11.36μg/m³ Good	33.75ppb Good	0.92ppb Good	2.55ppb Good	0.16ppm Good
Chambersburg, Pennsylvania	31 Good	2.43μg/m³ Good	13.45μg/m³ Good	33.17ppb Good	0.20ppb Good	2.46ppb Good	0.14ppm Good
Guilford, Pennsylvania	31 Good	2.42μg/m³ Good	13.39μg/m³ Good	33.37ppb Good	0.20ppb Good	2.47ppb Good	0.14ppm Good
Waynesboro, Pennsylvania	31 Good	1.93μg/m³ Good	11.44μg/m³ Good	33.29ppb Good	0.19ppb Good	2.50ppb Good	0.14ppm Good
Berwick borough, Pennsylvania	31 Good	1.26μg/m³ Good	5.08μg/m³ Good	32.69ppb Good	0.45ppb Good	1.14ppb Good	0.12ppm Good
Cranberry township, Pennsylvania	30 Good	2.57μg/m³ Good	10.28μg/m³ Good	32.42ppb Good	0.93ppb Good	3.44ppb Good	0.15ppm Good
Franklin Park, Pennsylvania	31 Good	2.68μg/m³ Good	10.96μg/m³ Good	32.88ppb Good	0.93ppb Good	3.43ppb Good	0.15ppm Good
Greene township, Pennsylvania	30 Good	2.88μg/m³ Good	11.84μg/m³ Good	32.31ppb Good	0.23ppb Good	2.40ppb Good	0.14ppm Good
Hermitage, Pennsylvania	31 Good	2.49μg/m³ Good	9.86μg/m³ Good	32.83ppb Good	0.98ppb Good	2.35ppb Good	0.15ppm Good
Harrisburg, Pennsylvania	30 Good	2.71μg/m³ Good	11.07μg/m³ Good	31.89ppb Good	0.17ppb Good	2.71ppb Good	0.14ppm Good
Jefferson Hills, Pennsylvania	30 Good	2.63μg/m³ Good	10.79μg/m³ Good	31.97ppb Good	0.79ppb Good	2.53ppb Good	0.14ppm Good
Lower Burrell, Pennsylvania	30 Good	2.90μg/m³ Good	12.01μg/m³ Good	31.86ppb Good	0.89ppb Good	3.09ppb Good	0.15ppm Good
McKeesport, Pennsylvania	30 Good	2.72μg/m³ Good	11.16μg/m³ Good	32.30ppb Good	0.79ppb Good	2.53ppb Good	0.14ppm Good
McCandless, Pennsylvania	30 Good	2.63μg/m³ Good	12.10μg/m³ Good	32.42ppb Good	0.92ppb Good	3.94ppb Good	0.15ppm Good
North Strabane, Pennsylvania	30 Good	2.51μg/m³ Good	10.81μg/m³ Good	32.02ppb Good	0.90ppb Good	2.53ppb Good	0.15ppm Good
Murrysville, Pennsylvania	30 Good	2.67μg/m³ Good	12.17μg/m³ Good	32.14ppb Good	0.74ppb Good	2.49ppb Good	0.14ppm Good
North Union township, Pennsylvania	31 Good	2.58μg/m³ Good	12.15μg/m³ Good	32.82ppb Good	0.69ppb Good	1.98ppb Good	0.14ppm Good
Penn township, Pennsylvania	30 Good	2.62μg/m³ Good	10.44μg/m³ Good	32.21ppb Good	0.74ppb Good	2.48ppb Good	0.14ppm Good
Pine township, Pennsylvania	31 Good	2.63μg/m³ Good	10.75μg/m³ Good	32.61ppb Good	0.93ppb Good	3.44ppb Good	0.15ppm Good
Robinson township, Pennsylvania	31 Good	2.84μg/m³ Good	12.36μg/m³ Good	32.60ppb Good	0.92ppb Good	2.76ppb Good	0.15ppm Good
Sandy, Pennsylvania	30 Good	1.79μg/m³ Good	6.84μg/m³ Good	31.89ppb Good	0.73ppb Good	1.60ppb Good	0.12ppm Good
Sharon city, Pennsylvania	31 Good	2.50μg/m³ Good	9.93μg/m³ Good	32.91ppb Good	0.98ppb Good	2.34ppb Good	0.15ppm Good
South Union, Pennsylvania	31 Good	2.50μg/m³ Good	9.98μg/m³ Good	32.77ppb Good	0.71ppb Good	2.11ppb Good	0.14ppm Good
Upper St. Clair, Pennsylvania	30 Good	2.78μg/m³ Good	10.84μg/m³ Good	32.16ppb Good	0.91ppb Good	3.87ppb Good	0.16ppm Good
Baldwin borough, Pennsylvania	29 Good	2.73μg/m³ Good	11.27μg/m³ Good	31.24ppb Good	0.82ppb Good	2.54ppb Good	0.14ppm Good
Altoona, Pennsylvania	29 Good	2.40μg/m³ Good	10.01μg/m³ Good	30.99ppb Good	0.25ppb Good	2.38ppb Good	0.12ppm Good
Carlisle, Pennsylvania	29 Good	2.52μg/m³ Good	10.11μg/m³ Good	31.17ppb Good	0.17ppb Good	1.28ppb Good	0.14ppm Good
State College, Pennsylvania	29 Good	2.79μg/m³ Good	11.89μg/m³ Good	31.00ppb Good	0.21ppb Good	1.20ppb Good	0.14ppm Good
College, Pennsylvania	29 Good	2.79μg/m³ Good	11.89μg/m³ Good	31.00ppb Good	0.21ppb Good	1.20ppb Good	0.14ppm Good
Derry township, Pennsylvania	29 Good	2.61μg/m³ Good	11.05μg/m³ Good	31.00ppb Good	0.21ppb Good	2.74ppb Good	0.14ppm Good
East Pennsboro, Pennsylvania	30 Good	2.72μg/m³ Good	11.18μg/m³ Good	31.76ppb Good	0.18ppb Good	2.54ppb Good	0.14ppm Good
Elizabeth township, Pennsylvania	30 Good	2.64μg/m³ Good	10.87μg/m³ Good	31.55ppb Good	0.79ppb Good	2.52ppb Good	0.14ppm Good
Ferguson township, Pennsylvania	29 Good	2.63μg/m³ Good	10.77μg/m³ Good	31.00ppb Good	0.21ppb Good	1.21ppb Good	0.14ppm Good
Fairview township, Pennsylvania	30 Good	2.72μg/m³ Good	11.13μg/m³ Good	31.86ppb Good	0.17ppb Good	2.72ppb Good	0.14ppm Good
Hampden, Pennsylvania	30 Good	2.72μg/m³ Good	11.18μg/m³ Good	31.80ppb Good	0.18ppb Good	2.58ppb Good	0.14ppm Good
Logan township, Pennsylvania	29 Good	2.42μg/m³ Good	10.07μg/m³ Good	30.92ppb Good	0.26ppb Good	2.34ppb Good	0.12ppm Good
Lower Paxton, Pennsylvania	30 Good	2.70μg/m³ Good	11.16μg/m³ Good	31.62ppb Good	0.18ppb Good	2.70ppb Good	0.14ppm Good
Lower Allen, Pennsylvania	30 Good	2.72μg/m³ Good	11.17μg/m³ Good	31.85ppb Good	0.18ppb Good	2.65ppb Good	0.14ppm Good
Meadville, Pennsylvania	29 Good	1.89μg/m³ Good	6.97μg/m³ Good	31.45ppb Good	0.92ppb Good	1.88ppb Good	0.15ppm Good
New Kensington, Pennsylvania	30 Good	2.90μg/m³ Good	12.10μg/m³ Good	31.69ppb Good	0.88ppb Good	2.99ppb Good	0.15ppm Good
Munhall, Pennsylvania	29 Good	2.86μg/m³ Good	12.05μg/m³ Good	31.21ppb Good	0.86ppb Good	2.58ppb Good	0.14ppm Good
North Middleton, Pennsylvania	29 Good	2.53μg/m³ Good	10.16μg/m³ Good	31.22ppb Good	0.17ppb Good	1.31ppb Good	0.14ppm Good
Monroeville, Pennsylvania	29 Good	2.87μg/m³ Good	12.14μg/m³ Good	31.45ppb Good	0.85ppb Good	2.62ppb Good	0.14ppm Good
North Huntingdon, Pennsylvania	29 Good	2.90μg/m³ Good	11.46μg/m³ Good	31.29ppb Good	0.75ppb Good	2.50ppb Good	0.14ppm Good
Patton township, Pennsylvania	29 Good	2.77μg/m³ Good	11.80μg/m³ Good	31.00ppb Good	0.21ppb Good	1.21ppb Good	0.14ppm Good
Penn Hills, Pennsylvania	29 Good	2.97μg/m³ Good	12.94μg/m³ Good	31.34ppb Good	0.87ppb Good	2.76ppb Good	0.14ppm Good
Somerset township, Pennsylvania	30 Good	2.73μg/m³ Good	11.19μg/m³ Good	31.74ppb Good	0.53ppb Good	1.38ppb Good	0.12ppm Good

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

0.15ppm

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 01:00:00 on 2025-10-20.

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 03:00:00 on 2025-10-20.

What is the current air quality in Pennsylvania, USA?

The current air quality in Pennsylvania, USA is 27, 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 O3.

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 2.717 μg/m³.

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

The current PM₁₀ concentration at Pennsylvania, USA is 11.286 μg/m³.

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

The current carbon monoxide (CO) concentration at Pennsylvania, USA is 0.171 ppm.

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

The current sulfur dioxide (SO₂) concentration at Pennsylvania, USA is 0.429 ppb.

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

The current ozone (O₃) concentration at Pennsylvania, USA is 29.188 ppm.

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

The current nitrogen dioxide (NO₂) concentration at Pennsylvania, USA is 2.625 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T00:00:00.000Z	36 \| good	4.948 \| good	21.77 \| good	38.66 \| good	0.283 \| good	3.635 \| good	0.268 \| good
2025-10-19T01:00:00.000Z	35 \| good	5.771 \| good	24.936 \| good	37.739 \| good	0.374 \| good	4.489 \| good	0.31 \| good
2025-10-19T02:00:00.000Z	35 \| good	5.955 \| good	26.322 \| good	37.784 \| good	0.386 \| good	8.236 \| good	0.29 \| good
2025-10-19T03:00:00.000Z	33 \| good	6.054 \| good	27.494 \| good	32.652 \| good	0.449 \| good	13.965 \| good	0.288 \| good
2025-10-19T04:00:00.000Z	33 \| good	5.644 \| good	24.474 \| good	34.282 \| good	0.301 \| good	11.428 \| good	0.288 \| good
2025-10-19T05:00:00.000Z	27 \| good	5.46 \| good	23.684 \| good	27.597 \| good	0.28 \| good	13.668 \| good	0.394 \| good
2025-10-19T06:00:00.000Z	33 \| good	5.513 \| good	23.699 \| good	21.826 \| good	0.724 \| good	14.108 \| good	0.289 \| good
2025-10-19T07:00:00.000Z	33 \| good	5.621 \| good	24.448 \| good	22.511 \| good	0.637 \| good	14.279 \| good	0.291 \| good
2025-10-19T08:00:00.000Z	27 \| good	5.29 \| good	23.71 \| good	22.903 \| good	0.785 \| good	9.768 \| good	0.266 \| good
2025-10-19T09:00:00.000Z	27 \| good	5.374 \| good	23.817 \| good	20.571 \| good	0.814 \| good	8.613 \| good	0.265 \| good
2025-10-19T10:00:00.000Z	27 \| good	5.308 \| good	23.242 \| good	23.61 \| good	0.233 \| good	9.412 \| good	0.265 \| good
2025-10-19T11:00:00.000Z	27 \| good	5.382 \| good	23.026 \| good	18.56 \| good	0.22 \| good	9.139 \| good	0.222 \| good
2025-10-19T12:00:00.000Z	27 \| good	5.321 \| good	23.068 \| good	19.898 \| good	0.191 \| good	11.11 \| good	0.266 \| good
2025-10-19T13:00:00.000Z	27 \| good	5.318 \| good	23.014 \| good	23.025 \| good	0.202 \| good	11.493 \| good	0.266 \| good
2025-10-19T14:00:00.000Z	27 \| good	5.418 \| good	24.169 \| good	24.751 \| good	0.223 \| good	7.612 \| good	0.227 \| good
2025-10-19T15:00:00.000Z	33 \| good	6.186 \| good	27.971 \| good	28.102 \| good	0.276 \| good	4.561 \| good	0.225 \| good
2025-10-19T16:00:00.000Z	38 \| good	7.038 \| good	31.899 \| good	38.895 \| good	0.302 \| good	4.794 \| good	0.204 \| good
2025-10-19T17:00:00.000Z	44 \| good	8.022 \| good	35.616 \| good	38.254 \| good	0.266 \| good	3.944 \| good	0.204 \| good
2025-10-19T18:00:00.000Z	49 \| good	9.213 \| good	41.463 \| good	38.897 \| good	0.245 \| good	4.186 \| good	0.166 \| good
2025-10-19T19:00:00.000Z	52 \| moderate	9.857 \| good	43.688 \| good	41.562 \| good	0.342 \| good	2.642 \| good	0.202 \| good
2025-10-19T20:00:00.000Z	52 \| moderate	10.189 \| good	45.01 \| good	44.105 \| good	0.324 \| good	2.095 \| good	0.182 \| good
2025-10-19T21:00:00.000Z	52 \| moderate	10.067 \| good	44.849 \| good	43.505 \| good	0.302 \| good	2.602 \| good	0.164 \| good
2025-10-19T22:00:00.000Z	49 \| good	9.118 \| good	41.102 \| good	44.513 \| good	0.304 \| good	3.333 \| good	0.166 \| good
2025-10-19T23:00:00.000Z	49 \| good	8.799 \| good	38.671 \| good	45.561 \| good	0.305 \| good	3.373 \| good	0.164 \| good
2025-10-20T00:00:00.000Z	49 \| good	8.952 \| good	40.613 \| good	43.885 \| good	0.353 \| good	3.35 \| good	0.164 \| good
2025-10-20T01:00:00.000Z	49 \| good	8.728 \| good	38.574 \| good	45.375 \| good	0.313 \| good	3.488 \| good	0.203 \| good
2025-10-20T02:00:00.000Z	41 \| good	7.262 \| good	31.631 \| good	43.81 \| good	0.26 \| good	3.467 \| good	0.166 \| good
2025-10-20T03:00:00.000Z	38 \| good	4.598 \| good	20.259 \| good	41.329 \| good	0.239 \| good	3.712 \| good	0.144 \| good
2025-10-20T04:00:00.000Z	39 \| good	3.419 \| good	15.8 \| good	41.952 \| good	0.221 \| good	3.306 \| good	0.144 \| good
2025-10-20T05:00:00.000Z	35 \| good	2.903 \| good	12.68 \| good	37.858 \| good	0.223 \| good	3.339 \| good	0.144 \| good
2025-10-20T06:00:00.000Z	31 \| good	2.626 \| good	11.069 \| good	34.122 \| good	0.27 \| good	2.829 \| good	0.142 \| good
2025-10-20T07:00:00.000Z	35 \| good	2.177 \| good	8.995 \| good	37.905 \| good	0.272 \| good	3.063 \| good	0.142 \| good
2025-10-20T08:00:00.000Z	30 \| good	2.065 \| good	8.86 \| good	32.333 \| good	0.203 \| good	5.144 \| good	0.14 \| good
2025-10-20T09:00:00.000Z	28 \| good	1.977 \| good	7.973 \| good	29.828 \| good	0.199 \| good	6.767 \| good	0.14 \| good
2025-10-20T10:00:00.000Z	22 \| good	1.946 \| good	7.772 \| good	24.176 \| good	0.218 \| good	4.91 \| good	0.142 \| good
2025-10-20T11:00:00.000Z	28 \| good	1.761 \| good	7.749 \| good	30.266 \| good	0.235 \| good	4.93 \| good	0.142 \| good
2025-10-20T12:00:00.000Z	26 \| good	1.409 \| good	6.13 \| good	27.905 \| good	0.235 \| good	3.747 \| good	0.148 \| good
2025-10-20T13:00:00.000Z	20 \| good	1.191 \| good	4.974 \| good	22.143 \| good	0.221 \| good	3.797 \| good	0.165 \| good
2025-10-20T14:00:00.000Z	26 \| good	1.097 \| good	5.046 \| good	27.688 \| good	0.238 \| good	3.225 \| good	0.144 \| good
2025-10-20T15:00:00.000Z	19 \| good	1.203 \| good	5.018 \| good	21.329 \| good	0.22 \| good	2.897 \| good	0.126 \| good
2025-10-20T16:00:00.000Z	25 \| good	1.45 \| good	5.895 \| good	26.918 \| good	0.238 \| good	3.156 \| good	0.128 \| good
2025-10-20T17:00:00.000Z	25 \| good	1.636 \| good	6.739 \| good	26.61 \| good	0.301 \| good	2.709 \| good	0.147 \| good
2025-10-20T18:00:00.000Z	25 \| good	1.848 \| good	7.753 \| good	27.038 \| good	0.219 \| good	2.499 \| good	0.141 \| good
2025-10-20T19:00:00.000Z	25 \| good	1.782 \| good	7.907 \| good	27.395 \| good	0.199 \| good	2.074 \| good	0.141 \| good
2025-10-20T20:00:00.000Z	26 \| good	1.704 \| good	7.018 \| good	27.797 \| good	0.273 \| good	2.028 \| good	0.141 \| good
2025-10-20T21:00:00.000Z	27 \| good	1.818 \| good	8.153 \| good	28.694 \| good	0.197 \| good	1.879 \| good	0.141 \| good
2025-10-20T22:00:00.000Z	28 \| good	1.924 \| good	8.18 \| good	29.8 \| good	0.334 \| good	1.143 \| good	0.141 \| good
2025-10-20T23:00:00.000Z	27 \| good	2.2 \| good	8.988 \| good	28.94 \| good	0.146 \| good	1.205 \| good	0.124 \| good
2025-10-20T23:00:00.000Z	26 \| good	2.725 \| good	11.008 \| good	28.241 \| good	0.35 \| good	2.955 \| good	0.178 \| good
2025-10-20T23:00:00.000Z	30 \| good	3.552 \| good	15.901 \| good	32.197 \| good	0.139 \| good	1.417 \| good	0.114 \| good
2025-10-21T00:00:00.000Z	29 \| good	3.345 \| good	14.835 \| good	30.866 \| good	0.147 \| good	1.859 \| good	0.117 \| good
2025-10-21T01:00:00.000Z	27 \| good	4.887 \| good	20.906 \| good	25.424 \| good	0.174 \| good	2.273 \| good	0.12 \| good
2025-10-21T02:00:00.000Z	27 \| good	5.123 \| good	21.902 \| good	21.746 \| good	0.202 \| good	2.688 \| good	0.123 \| good
2025-10-21T03:00:00.000Z	22 \| good	4.214 \| good	18.687 \| good	20.571 \| good	0.229 \| good	3.102 \| good	0.125 \| good
2025-10-21T04:00:00.000Z	18 \| good	3.44 \| good	15 \| good	18.731 \| good	0.255 \| good	3.253 \| good	0.126 \| good
2025-10-21T05:00:00.000Z	22 \| good	3.992 \| good	17.774 \| good	16.768 \| good	0.281 \| good	3.405 \| good	0.126 \| good
2025-10-21T06:00:00.000Z	16 \| good	3.464 \| good	15.215 \| good	15.895 \| good	0.307 \| good	3.556 \| good	0.126 \| good
2025-10-21T07:00:00.000Z	16 \| good	2.88 \| good	11.93 \| good	15.076 \| good	0.419 \| good	3.786 \| good	0.127 \| good
2025-10-21T08:00:00.000Z	16 \| good	2.524 \| good	10.242 \| good	14.545 \| good	0.53 \| good	4.016 \| good	0.128 \| good
2025-10-21T09:00:00.000Z	16 \| good	3.012 \| good	12.68 \| good	14.703 \| good	0.641 \| good	4.247 \| good	0.129 \| good
2025-10-21T10:00:00.000Z	22 \| good	4.487 \| good	19.467 \| good	13.287 \| good	0.874 \| good	5.25 \| good	0.141 \| good
2025-10-21T11:00:00.000Z	22 \| good	4.39 \| good	19.39 \| good	9.498 \| good	1.108 \| good	6.254 \| good	0.153 \| good
2025-10-21T12:00:00.000Z	27 \| good	5.481 \| good	23.553 \| good	15.029 \| good	1.341 \| good	7.257 \| good	0.166 \| good
2025-10-21T13:00:00.000Z	33 \| good	5.906 \| good	25.3 \| good	20.385 \| good	1.766 \| good	5.563 \| good	0.159 \| good
2025-10-21T14:00:00.000Z	27 \| good	4.873 \| good	21.066 \| good	26.413 \| good	2.192 \| good	3.869 \| good	0.153 \| good
2025-10-21T15:00:00.000Z	31 \| good	4.336 \| good	19.067 \| good	34.318 \| good	2.618 \| good	2.175 \| good	0.146 \| good
2025-10-21T16:00:00.000Z	32 \| good	4.33 \| good	19.074 \| good	35.313 \| good	2.335 \| good	1.864 \| good	0.141 \| good
2025-10-21T17:00:00.000Z	33 \| good	4.743 \| good	20.368 \| good	36.302 \| good	2.052 \| good	1.553 \| good	0.137 \| good
2025-10-21T18:00:00.000Z	33 \| good	4.48 \| good	19.251 \| good	36.07 \| good	1.769 \| good	1.242 \| good	0.132 \| good
2025-10-21T19:00:00.000Z	36 \| good	4.838 \| good	21 \| good	39.291 \| good	1.901 \| good	1.31 \| good	0.133 \| good
2025-10-21T20:00:00.000Z	37 \| good	5.167 \| good	22.059 \| good	40.416 \| good	2.032 \| good	1.378 \| good	0.133 \| good
2025-10-21T21:00:00.000Z	37 \| good	5.253 \| good	23 \| good	40.061 \| good	2.164 \| good	1.446 \| good	0.134 \| good
2025-10-21T22:00:00.000Z	38 \| good	5.698 \| good	24.733 \| good	41.362 \| good	2.258 \| good	3.126 \| good	0.15 \| good
2025-10-21T23:00:00.000Z	38 \| good	6.934 \| good	30.759 \| good	37.941 \| good	2.353 \| good	4.805 \| good	0.165 \| good
2025-10-22T00:00:00.000Z	33 \| good	6.441 \| good	28.835 \| good	32.051 \| good	2.447 \| good	6.485 \| good	0.181 \| good
2025-10-22T01:00:00.000Z	38 \| good	7.254 \| good	32.1 \| good	26.03 \| good	2.567 \| good	5.841 \| good	0.175 \| good
2025-10-22T02:00:00.000Z	38 \| good	6.643 \| good	29.922 \| good	25.72 \| good	2.686 \| good	5.197 \| good	0.168 \| good
2025-10-22T03:00:00.000Z	27 \| good	4.883 \| good	21.206 \| good	24.753 \| good	2.806 \| good	4.553 \| good	0.161 \| good
2025-10-22T04:00:00.000Z	27 \| good	4.835 \| good	21.158 \| good	28.475 \| good	2.87 \| good	4.829 \| good	0.163 \| good
2025-10-22T05:00:00.000Z	26 \| good	4.147 \| good	17.965 \| good	28.477 \| good	2.934 \| good	5.106 \| good	0.164 \| good
2025-10-22T06:00:00.000Z	24 \| good	2.727 \| good	10.956 \| good	26.427 \| good	2.998 \| good	5.382 \| good	0.166 \| good
2025-10-22T07:00:00.000Z	25 \| good	2.627 \| good	10.755 \| good	26.628 \| good	3.072 \| good	4.7 \| good	0.159 \| good
2025-10-22T08:00:00.000Z	20 \| good	3.196 \| good	13.78 \| good	22.067 \| good	3.146 \| good	4.018 \| good	0.152 \| good
2025-10-22T09:00:00.000Z	24 \| good	4.323 \| good	18.933 \| good	25.974 \| good	3.22 \| good	3.335 \| good	0.145 \| good
2025-10-22T10:00:00.000Z	27 \| good	5.105 \| good	22.009 \| good	28.963 \| good	3.163 \| good	3.342 \| good	0.143 \| good
2025-10-22T11:00:00.000Z	27 \| good	3.885 \| good	16.998 \| good	28.714 \| good	3.107 \| good	3.348 \| good	0.141 \| good
2025-10-22T12:00:00.000Z	27 \| good	4.765 \| good	20.849 \| good	27.052 \| good	3.051 \| good	3.354 \| good	0.138 \| good
2025-10-22T13:00:00.000Z	24 \| good	3.906 \| good	17.019 \| good	26.223 \| good	2.513 \| good	2.716 \| good	0.135 \| good
2025-10-22T14:00:00.000Z	27 \| good	4.295 \| good	19 \| good	29.354 \| good	1.975 \| good	2.078 \| good	0.131 \| good
2025-10-22T15:00:00.000Z	28 \| good	3.46 \| good	15.05 \| good	30.207 \| good	1.438 \| good	1.441 \| good	0.128 \| good
2025-10-22T16:00:00.000Z	27 \| good	2.686 \| good	11.021 \| good	29.477 \| good	1.304 \| good	1.425 \| good	0.127 \| good
2025-10-22T17:00:00.000Z	27 \| good	3.318 \| good	14.897 \| good	29.339 \| good	1.17 \| good	1.41 \| good	0.126 \| good
2025-10-22T18:00:00.000Z	26 \| good	4.067 \| good	17.955 \| good	27.522 \| good	1.036 \| good	1.394 \| good	0.126 \| good
2025-10-22T19:00:00.000Z	28 \| good	4.561 \| good	19.955 \| good	30.32 \| good	1.155 \| good	1.588 \| good	0.126 \| good
2025-10-22T20:00:00.000Z	30 \| good	4.954 \| good	21.142 \| good	31.963 \| good	1.273 \| good	1.783 \| good	0.127 \| good
2025-10-22T21:00:00.000Z	30 \| good	5.28 \| good	22.955 \| good	32.035 \| good	1.392 \| good	1.978 \| good	0.128 \| good
2025-10-22T22:00:00.000Z	33 \| good	5.565 \| good	23.849 \| good	28.977 \| good	1.764 \| good	2.43 \| good	0.131 \| 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?