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

The current sulfur dioxide (SO2) concentration at Somerset Township, Pennsylvania is 3.686 ppb.

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

The current ozone (O3) concentration at Somerset Township, Pennsylvania is 33.031 ppm.

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

The current nitrogen dioxide (NO2) concentration at Somerset Township, Pennsylvania is 7.466 ppb.

Somerset Township, Pennsylvania live air quality index now

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

Stay updated with real-time air quality in Somerset Township, 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

Somerset Township, Pennsylvania

Last updated: ... (Local time)

Major air pollutants in Somerset Township, Pennsylvania

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

4.06 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

15.13 μg/m³

155

255

425

605+

Ozone (O₃)

23.01 ppb

201

201+

Sulfur Dioxide (SO₂)

0.60 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

4.51 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.16 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Somerset Township, Pennsylvania

Get Live Pollen Counts

Somerset Township, Pennsylvania

Scroll To Air Quality Map

Track live Somerset Township, Pennsylvania air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T03:00:00.000Z	44 \| good	8.177 \| good	19.212 \| good	25.688 \| good	0.394 \| good	7.212 \| good	0.174 \| good
2025-10-19T04:00:00.000Z	49 \| good	8.869 \| good	35.211 \| good	18.237 \| good	1.065 \| good	7.278 \| good	0.174 \| good
2025-10-19T05:00:00.000Z	44 \| good	8.349 \| good	23.886 \| good	13.289 \| good	1.08 \| good	8.706 \| good	0.174 \| good
2025-10-19T06:00:00.000Z	38 \| good	6.642 \| good	22.748 \| good	18.625 \| good	0.622 \| good	8.969 \| good	0.19 \| good
2025-10-19T07:00:00.000Z	33 \| good	5.9 \| good	20.523 \| good	14.994 \| good	0.671 \| good	7.659 \| good	0.182 \| good
2025-10-19T08:00:00.000Z	33 \| good	6.082 \| good	26.807 \| good	19.469 \| good	1.021 \| good	6.367 \| good	0.191 \| good
2025-10-19T09:00:00.000Z	33 \| good	5.769 \| good	23.227 \| good	9.139 \| good	0.994 \| good	5.163 \| good	0.191 \| good
2025-10-19T10:00:00.000Z	33 \| good	6.344 \| good	27.843 \| good	14.067 \| good	0.744 \| good	5.386 \| good	0.182 \| good
2025-10-19T11:00:00.000Z	44 \| good	7.837 \| good	36.702 \| good	12.676 \| good	1.196 \| good	4.406 \| good	0.182 \| good
2025-10-19T12:00:00.000Z	33 \| good	6.389 \| good	29.482 \| good	13.774 \| good	0.983 \| good	4.081 \| good	0.182 \| good
2025-10-19T13:00:00.000Z	33 \| good	6.184 \| good	31.844 \| good	14.172 \| good	0.779 \| good	3.957 \| good	0.191 \| good
2025-10-19T14:00:00.000Z	44 \| good	7.676 \| good	36.838 \| good	28.818 \| good	0.974 \| good	3.487 \| good	0.182 \| good
2025-10-19T15:00:00.000Z	38 \| good	7.367 \| good	31.011 \| good	32.91 \| good	1.189 \| good	3.416 \| good	0.15 \| good
2025-10-19T16:00:00.000Z	44 \| good	7.865 \| good	42.157 \| good	40.071 \| good	0.915 \| good	3.01 \| good	0.15 \| good
2025-10-19T17:00:00.000Z	49 \| good	8.903 \| good	41.252 \| good	34.51 \| good	1.415 \| good	2.615 \| good	0.15 \| good
2025-10-19T18:00:00.000Z	44 \| good	8.178 \| good	36.424 \| good	37.118 \| good	1.425 \| good	2.649 \| good	0.133 \| good
2025-10-19T19:00:00.000Z	44 \| good	8.129 \| good	33.326 \| good	39.277 \| good	0.802 \| good	2.259 \| good	0.15 \| good
2025-10-19T20:00:00.000Z	44 \| good	7.999 \| good	33.19 \| good	40.746 \| good	0.865 \| good	2.04 \| good	0.141 \| good
2025-10-19T21:00:00.000Z	38 \| good	6.982 \| good	28.846 \| good	40.92 \| good	0.783 \| good	2.057 \| good	0.133 \| good
2025-10-19T22:00:00.000Z	35 \| good	6.256 \| good	27.112 \| good	38.011 \| good	0.776 \| good	2.048 \| good	0.133 \| good
2025-10-19T23:00:00.000Z	37 \| good	4.258 \| good	22.348 \| good	39.931 \| good	0.717 \| good	2.037 \| good	0.133 \| good
2025-10-20T00:00:00.000Z	31 \| good	3.322 \| good	12.347 \| good	33.748 \| good	0.58 \| good	2.09 \| good	0.133 \| good
2025-10-20T01:00:00.000Z	35 \| good	2.45 \| good	11.358 \| good	37.515 \| good	0.571 \| good	2.472 \| good	0.141 \| good
2025-10-20T02:00:00.000Z	32 \| good	2.528 \| good	12.174 \| good	35.346 \| good	0.57 \| good	1.561 \| good	0.141 \| good
2025-10-20T03:00:00.000Z	33 \| good	1.886 \| good	7.652 \| good	35.652 \| good	0.558 \| good	1.756 \| good	0.117 \| good
2025-10-20T04:00:00.000Z	31 \| good	1.842 \| good	8.117 \| good	32.922 \| good	0.536 \| good	2.19 \| good	0.117 \| good
2025-10-20T05:00:00.000Z	27 \| good	1.749 \| good	7.323 \| good	28.945 \| good	0.54 \| good	1.979 \| good	0.117 \| good
2025-10-20T06:00:00.000Z	26 \| good	1.008 \| good	4.436 \| good	28.038 \| good	0.534 \| good	2.086 \| good	0.117 \| good
2025-10-20T07:00:00.000Z	27 \| good	0.745 \| good	3.626 \| good	28.556 \| good	0.468 \| good	1.801 \| good	0.117 \| good
2025-10-20T08:00:00.000Z	25 \| good	0.886 \| good	4.388 \| good	27.127 \| good	0.483 \| good	1.561 \| good	0.117 \| good
2025-10-20T09:00:00.000Z	26 \| good	1.504 \| good	7.389 \| good	28.337 \| good	0.487 \| good	1.553 \| good	0.125 \| good
2025-10-20T10:00:00.000Z	24 \| good	2.237 \| good	9.953 \| good	26.018 \| good	0.502 \| good	1.671 \| good	0.117 \| good
2025-10-20T11:00:00.000Z	24 \| good	2.359 \| good	10.053 \| good	25.821 \| good	0.446 \| good	2.513 \| good	0.117 \| good
2025-10-20T12:00:00.000Z	24 \| good	3.248 \| good	13.631 \| good	26.049 \| good	0.404 \| good	1.712 \| good	0.108 \| good
2025-10-20T13:00:00.000Z	23 \| good	3.569 \| good	11.169 \| good	24.675 \| good	0.391 \| good	1.86 \| good	0.125 \| good
2025-10-20T14:00:00.000Z	27 \| good	4.574 \| good	16.441 \| good	25.085 \| good	0.396 \| good	2.337 \| good	0.133 \| good
2025-10-20T15:00:00.000Z	26 \| good	4.005 \| good	16.995 \| good	27.73 \| good	0.473 \| good	1.98 \| good	0.116 \| good
2025-10-20T16:00:00.000Z	24 \| good	4.233 \| good	13.3 \| good	26.283 \| good	0.483 \| good	1.834 \| good	0.108 \| good
2025-10-20T17:00:00.000Z	25 \| good	3.199 \| good	13.838 \| good	27.03 \| good	0.606 \| good	1.435 \| good	0.108 \| good
2025-10-20T18:00:00.000Z	23 \| good	3.252 \| good	11.37 \| good	25.288 \| good	0.556 \| good	1.21 \| good	0.116 \| good
2025-10-20T19:00:00.000Z	25 \| good	3.22 \| good	12.472 \| good	27.085 \| good	0.552 \| good	1.198 \| good	0.116 \| good
2025-10-20T20:00:00.000Z	26 \| good	3.66 \| good	12.099 \| good	28.13 \| good	0.55 \| good	1.229 \| good	0.116 \| good
2025-10-20T21:00:00.000Z	27 \| good	2.718 \| good	11.25 \| good	29.233 \| good	0.467 \| good	1.198 \| good	0.116 \| good
2025-10-20T22:00:00.000Z	30 \| good	2.73 \| good	11.185 \| good	31.742 \| good	0.528 \| good	1.379 \| good	0.116 \| good
2025-10-20T23:00:00.000Z	29 \| good	3.541 \| good	10.187 \| good	31.304 \| good	0.466 \| good	2.183 \| good	0.116 \| good
2025-10-21T00:00:00.000Z	26 \| good	2.788 \| good	11.22 \| good	28.486 \| good	0.466 \| good	2.527 \| good	0.116 \| good
2025-10-21T01:00:00.000Z	25 \| good	3.234 \| good	12.327 \| good	27.082 \| good	0.663 \| good	5.197 \| good	0.133 \| good
2025-10-21T02:00:00.000Z	22 \| good	4.06 \| good	15.13 \| good	23.012 \| good	0.602 \| good	4.506 \| good	0.158 \| good
2025-10-21T02:00:00.000Z	22 \| good	4.06 \| good	15.13 \| good	23.012 \| good	0.602 \| good	4.506 \| good	0.158 \| good
2025-10-21T03:00:00.000Z	38 \| good	6.583 \| good	29.117 \| good	16.683 \| good	1.951 \| good	5.888 \| good	0.167 \| good
2025-10-21T04:00:00.000Z	33 \| good	5.725 \| good	24.932 \| good	11.358 \| good	2.172 \| good	5.057 \| good	0.16 \| good
2025-10-21T05:00:00.000Z	27 \| good	5.434 \| good	23.024 \| good	12.775 \| good	2.394 \| good	4.226 \| good	0.154 \| good
2025-10-21T06:00:00.000Z	22 \| good	4.422 \| good	19.4 \| good	14.136 \| good	2.616 \| good	3.395 \| good	0.147 \| good
2025-10-21T07:00:00.000Z	22 \| good	3.848 \| good	16.603 \| good	15.287 \| good	2.769 \| good	2.931 \| good	0.141 \| good
2025-10-21T08:00:00.000Z	16 \| good	3.117 \| good	13.034 \| good	15.625 \| good	2.922 \| good	2.467 \| good	0.136 \| good
2025-10-21T09:00:00.000Z	14 \| good	2.367 \| good	9.91 \| good	14.761 \| good	3.075 \| good	2.003 \| good	0.13 \| good
2025-10-21T10:00:00.000Z	16 \| good	2.564 \| good	10.023 \| good	12.044 \| good	2.503 \| good	2.03 \| good	0.129 \| good
2025-10-21T11:00:00.000Z	12 \| good	1.914 \| good	7.961 \| good	12.864 \| good	1.931 \| good	2.058 \| good	0.128 \| good
2025-10-21T12:00:00.000Z	13 \| good	2.216 \| good	9.023 \| good	14.144 \| good	1.36 \| good	2.085 \| good	0.127 \| good
2025-10-21T13:00:00.000Z	20 \| good	2.872 \| good	11.983 \| good	22.395 \| good	1.325 \| good	1.905 \| good	0.126 \| good
2025-10-21T14:00:00.000Z	31 \| good	3.868 \| good	16.948 \| good	33.682 \| good	1.29 \| good	1.725 \| good	0.125 \| good
2025-10-21T15:00:00.000Z	31 \| good	3.693 \| good	16.025 \| good	33.81 \| good	1.255 \| good	1.545 \| good	0.124 \| good
2025-10-21T16:00:00.000Z	31 \| good	4.311 \| good	18.977 \| good	34.194 \| good	1.579 \| good	1.398 \| good	0.126 \| good
2025-10-21T17:00:00.000Z	31 \| good	4.942 \| good	21.138 \| good	34.238 \| good	1.904 \| good	1.25 \| good	0.129 \| good
2025-10-21T18:00:00.000Z	38 \| good	6.075 \| good	26.979 \| good	41.159 \| good	2.228 \| good	1.103 \| good	0.131 \| good
2025-10-21T19:00:00.000Z	42 \| good	6.323 \| good	28.04 \| good	45.41 \| good	2.391 \| good	1.114 \| good	0.132 \| good
2025-10-21T20:00:00.000Z	41 \| good	5.648 \| good	24.406 \| good	43.779 \| good	2.554 \| good	1.125 \| good	0.132 \| good
2025-10-21T21:00:00.000Z	43 \| good	5.569 \| good	23.93 \| good	46.115 \| good	2.717 \| good	1.136 \| good	0.133 \| good
2025-10-21T22:00:00.000Z	36 \| good	5.251 \| good	22.84 \| good	39.488 \| good	2.452 \| good	1.643 \| good	0.134 \| good
2025-10-21T23:00:00.000Z	33 \| good	4.346 \| good	18.918 \| good	35.831 \| good	2.186 \| good	2.151 \| good	0.134 \| good
2025-10-22T00:00:00.000Z	30 \| good	4.832 \| good	20.961 \| good	32.194 \| good	1.921 \| good	2.658 \| good	0.135 \| good
2025-10-22T01:00:00.000Z	33 \| good	6.137 \| good	26.964 \| good	26.412 \| good	1.99 \| good	2.641 \| good	0.133 \| good
2025-10-22T02:00:00.000Z	33 \| good	5.953 \| good	26.67 \| good	23.632 \| good	2.058 \| good	2.623 \| good	0.132 \| good
2025-10-22T03:00:00.000Z	23 \| good	4.089 \| good	17.978 \| good	25.07 \| good	2.127 \| good	2.606 \| good	0.13 \| good
2025-10-22T04:00:00.000Z	22 \| good	3.9 \| good	16.984 \| good	22.962 \| good	2.343 \| good	2.499 \| good	0.128 \| good
2025-10-22T05:00:00.000Z	22 \| good	4.252 \| good	18.55 \| good	22.61 \| good	2.558 \| good	2.393 \| good	0.127 \| good
2025-10-22T06:00:00.000Z	24 \| good	3.074 \| good	12.438 \| good	25.814 \| good	2.774 \| good	2.286 \| good	0.125 \| good
2025-10-22T07:00:00.000Z	29 \| good	2.452 \| good	10.023 \| good	30.893 \| good	2.753 \| good	2.191 \| good	0.124 \| good
2025-10-22T08:00:00.000Z	30 \| good	2.157 \| good	9 \| good	32.481 \| good	2.732 \| good	2.096 \| good	0.123 \| good
2025-10-22T09:00:00.000Z	30 \| good	2.286 \| good	9.456 \| good	32.356 \| good	2.712 \| good	2 \| good	0.122 \| good
2025-10-22T10:00:00.000Z	28 \| good	2.711 \| good	11.121 \| good	30.19 \| good	2.482 \| good	2.152 \| good	0.123 \| good
2025-10-22T11:00:00.000Z	27 \| good	2.104 \| good	8.601 \| good	29.022 \| good	2.253 \| good	2.303 \| good	0.125 \| good
2025-10-22T12:00:00.000Z	26 \| good	1.659 \| good	6.992 \| good	28.126 \| good	2.024 \| good	2.454 \| good	0.127 \| good
2025-10-22T13:00:00.000Z	29 \| good	2.079 \| good	8.456 \| good	30.516 \| good	1.826 \| good	2.227 \| good	0.126 \| good
2025-10-22T14:00:00.000Z	31 \| good	2.697 \| good	10.992 \| good	32.559 \| good	1.627 \| good	1.999 \| good	0.126 \| good
2025-10-22T15:00:00.000Z	33 \| good	2.938 \| good	11.983 \| good	35.93 \| good	1.428 \| good	1.771 \| good	0.125 \| good
2025-10-22T16:00:00.000Z	33 \| good	3.063 \| good	12.212 \| good	35.881 \| good	1.435 \| good	1.701 \| good	0.124 \| good
2025-10-22T17:00:00.000Z	29 \| good	3.317 \| good	14.816 \| good	31.215 \| good	1.442 \| good	1.631 \| good	0.124 \| good
2025-10-22T18:00:00.000Z	27 \| good	3.723 \| good	16.344 \| good	29.444 \| good	1.449 \| good	1.561 \| good	0.123 \| good
2025-10-22T19:00:00.000Z	26 \| good	4.14 \| good	18.36 \| good	27.611 \| good	1.544 \| good	1.727 \| good	0.124 \| good
2025-10-22T20:00:00.000Z	24 \| good	4.082 \| good	17.878 \| good	25.878 \| good	1.638 \| good	1.893 \| good	0.126 \| good
2025-10-22T21:00:00.000Z	27 \| good	3.939 \| good	17.071 \| good	28.872 \| good	1.733 \| good	2.06 \| good	0.127 \| good
2025-10-22T22:00:00.000Z	28 \| good	3.527 \| good	15.878 \| good	30.156 \| good	1.801 \| good	2.357 \| good	0.131 \| good
2025-10-22T23:00:00.000Z	26 \| good	3.508 \| good	15.447 \| good	27.696 \| good	1.87 \| good	2.655 \| good	0.134 \| good
2025-10-23T00:00:00.000Z	25 \| good	4.057 \| good	4.059 \| good	27.455 \| good	1.932 \| good	2.951 \| good	0.138 \| good
2025-10-23T01:00:00.000Z	33 \| good	5.873 \| good	25.882 \| good	25.247 \| good	1.941 \| good	2.93 \| good	0.138 \| good
2025-10-23T02:00:00.000Z	33 \| good	6.188 \| good	27.479 \| good	24.48 \| good	1.944 \| good	2.909 \| good	0.138 \| good

Somerset township

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Somerset Township, Pennsylvania air quality map: Track AQI near you

0.17ppm

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

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Frequently asked questions

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

The air quality for Somerset Township, Pennsylvania is updated every hour.

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

The worst air quality in Somerset Township, Pennsylvania in the last 24 hours was observed at 09:00:00 on 2025-10-17.

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

In the last 24 hrs, the best air quality in Somerset Township, Pennsylvania was observed at 09:00:00 on 2025-10-17.

What is the current air quality in Somerset Township, Pennsylvania?

The current air quality in Somerset Township, Pennsylvania is 31, categorized as Good based on real-time data.

What pollutant is the most common in Somerset Township, Pennsylvania?

The most common pollutant in Somerset Township, Pennsylvania is O3.

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

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

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

The current PM_2.5 concentration at Somerset Township, Pennsylvania is 2.227 μg/m³.

What is the current concentration of PM₁₀ in Somerset Township, Pennsylvania?

The current PM₁₀ concentration at Somerset Township, Pennsylvania is 10.195 μg/m³.

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

The current carbon monoxide (CO) concentration at Somerset Township, Pennsylvania is 0.133 ppm.

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

The current sulfur dioxide (SO₂) concentration at Somerset Township, Pennsylvania is 3.686 ppb.

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

The current ozone (O₃) concentration at Somerset Township, Pennsylvania is 33.031 ppm.

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

The current nitrogen dioxide (NO₂) concentration at Somerset Township, Pennsylvania is 7.466 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T03:00:00.000Z	44 \| good	8.177 \| good	19.212 \| good	25.688 \| good	0.394 \| good	7.212 \| good	0.174 \| good
2025-10-19T04:00:00.000Z	49 \| good	8.869 \| good	35.211 \| good	18.237 \| good	1.065 \| good	7.278 \| good	0.174 \| good
2025-10-19T05:00:00.000Z	44 \| good	8.349 \| good	23.886 \| good	13.289 \| good	1.08 \| good	8.706 \| good	0.174 \| good
2025-10-19T06:00:00.000Z	38 \| good	6.642 \| good	22.748 \| good	18.625 \| good	0.622 \| good	8.969 \| good	0.19 \| good
2025-10-19T07:00:00.000Z	33 \| good	5.9 \| good	20.523 \| good	14.994 \| good	0.671 \| good	7.659 \| good	0.182 \| good
2025-10-19T08:00:00.000Z	33 \| good	6.082 \| good	26.807 \| good	19.469 \| good	1.021 \| good	6.367 \| good	0.191 \| good
2025-10-19T09:00:00.000Z	33 \| good	5.769 \| good	23.227 \| good	9.139 \| good	0.994 \| good	5.163 \| good	0.191 \| good
2025-10-19T10:00:00.000Z	33 \| good	6.344 \| good	27.843 \| good	14.067 \| good	0.744 \| good	5.386 \| good	0.182 \| good
2025-10-19T11:00:00.000Z	44 \| good	7.837 \| good	36.702 \| good	12.676 \| good	1.196 \| good	4.406 \| good	0.182 \| good
2025-10-19T12:00:00.000Z	33 \| good	6.389 \| good	29.482 \| good	13.774 \| good	0.983 \| good	4.081 \| good	0.182 \| good
2025-10-19T13:00:00.000Z	33 \| good	6.184 \| good	31.844 \| good	14.172 \| good	0.779 \| good	3.957 \| good	0.191 \| good
2025-10-19T14:00:00.000Z	44 \| good	7.676 \| good	36.838 \| good	28.818 \| good	0.974 \| good	3.487 \| good	0.182 \| good
2025-10-19T15:00:00.000Z	38 \| good	7.367 \| good	31.011 \| good	32.91 \| good	1.189 \| good	3.416 \| good	0.15 \| good
2025-10-19T16:00:00.000Z	44 \| good	7.865 \| good	42.157 \| good	40.071 \| good	0.915 \| good	3.01 \| good	0.15 \| good
2025-10-19T17:00:00.000Z	49 \| good	8.903 \| good	41.252 \| good	34.51 \| good	1.415 \| good	2.615 \| good	0.15 \| good
2025-10-19T18:00:00.000Z	44 \| good	8.178 \| good	36.424 \| good	37.118 \| good	1.425 \| good	2.649 \| good	0.133 \| good
2025-10-19T19:00:00.000Z	44 \| good	8.129 \| good	33.326 \| good	39.277 \| good	0.802 \| good	2.259 \| good	0.15 \| good
2025-10-19T20:00:00.000Z	44 \| good	7.999 \| good	33.19 \| good	40.746 \| good	0.865 \| good	2.04 \| good	0.141 \| good
2025-10-19T21:00:00.000Z	38 \| good	6.982 \| good	28.846 \| good	40.92 \| good	0.783 \| good	2.057 \| good	0.133 \| good
2025-10-19T22:00:00.000Z	35 \| good	6.256 \| good	27.112 \| good	38.011 \| good	0.776 \| good	2.048 \| good	0.133 \| good
2025-10-19T23:00:00.000Z	37 \| good	4.258 \| good	22.348 \| good	39.931 \| good	0.717 \| good	2.037 \| good	0.133 \| good
2025-10-20T00:00:00.000Z	31 \| good	3.322 \| good	12.347 \| good	33.748 \| good	0.58 \| good	2.09 \| good	0.133 \| good
2025-10-20T01:00:00.000Z	35 \| good	2.45 \| good	11.358 \| good	37.515 \| good	0.571 \| good	2.472 \| good	0.141 \| good
2025-10-20T02:00:00.000Z	32 \| good	2.528 \| good	12.174 \| good	35.346 \| good	0.57 \| good	1.561 \| good	0.141 \| good
2025-10-20T03:00:00.000Z	33 \| good	1.886 \| good	7.652 \| good	35.652 \| good	0.558 \| good	1.756 \| good	0.117 \| good
2025-10-20T04:00:00.000Z	31 \| good	1.842 \| good	8.117 \| good	32.922 \| good	0.536 \| good	2.19 \| good	0.117 \| good
2025-10-20T05:00:00.000Z	27 \| good	1.749 \| good	7.323 \| good	28.945 \| good	0.54 \| good	1.979 \| good	0.117 \| good
2025-10-20T06:00:00.000Z	26 \| good	1.008 \| good	4.436 \| good	28.038 \| good	0.534 \| good	2.086 \| good	0.117 \| good
2025-10-20T07:00:00.000Z	27 \| good	0.745 \| good	3.626 \| good	28.556 \| good	0.468 \| good	1.801 \| good	0.117 \| good
2025-10-20T08:00:00.000Z	25 \| good	0.886 \| good	4.388 \| good	27.127 \| good	0.483 \| good	1.561 \| good	0.117 \| good
2025-10-20T09:00:00.000Z	26 \| good	1.504 \| good	7.389 \| good	28.337 \| good	0.487 \| good	1.553 \| good	0.125 \| good
2025-10-20T10:00:00.000Z	24 \| good	2.237 \| good	9.953 \| good	26.018 \| good	0.502 \| good	1.671 \| good	0.117 \| good
2025-10-20T11:00:00.000Z	24 \| good	2.359 \| good	10.053 \| good	25.821 \| good	0.446 \| good	2.513 \| good	0.117 \| good
2025-10-20T12:00:00.000Z	24 \| good	3.248 \| good	13.631 \| good	26.049 \| good	0.404 \| good	1.712 \| good	0.108 \| good
2025-10-20T13:00:00.000Z	23 \| good	3.569 \| good	11.169 \| good	24.675 \| good	0.391 \| good	1.86 \| good	0.125 \| good
2025-10-20T14:00:00.000Z	27 \| good	4.574 \| good	16.441 \| good	25.085 \| good	0.396 \| good	2.337 \| good	0.133 \| good
2025-10-20T15:00:00.000Z	26 \| good	4.005 \| good	16.995 \| good	27.73 \| good	0.473 \| good	1.98 \| good	0.116 \| good
2025-10-20T16:00:00.000Z	24 \| good	4.233 \| good	13.3 \| good	26.283 \| good	0.483 \| good	1.834 \| good	0.108 \| good
2025-10-20T17:00:00.000Z	25 \| good	3.199 \| good	13.838 \| good	27.03 \| good	0.606 \| good	1.435 \| good	0.108 \| good
2025-10-20T18:00:00.000Z	23 \| good	3.252 \| good	11.37 \| good	25.288 \| good	0.556 \| good	1.21 \| good	0.116 \| good
2025-10-20T19:00:00.000Z	25 \| good	3.22 \| good	12.472 \| good	27.085 \| good	0.552 \| good	1.198 \| good	0.116 \| good
2025-10-20T20:00:00.000Z	26 \| good	3.66 \| good	12.099 \| good	28.13 \| good	0.55 \| good	1.229 \| good	0.116 \| good
2025-10-20T21:00:00.000Z	27 \| good	2.718 \| good	11.25 \| good	29.233 \| good	0.467 \| good	1.198 \| good	0.116 \| good
2025-10-20T22:00:00.000Z	30 \| good	2.73 \| good	11.185 \| good	31.742 \| good	0.528 \| good	1.379 \| good	0.116 \| good
2025-10-20T23:00:00.000Z	29 \| good	3.541 \| good	10.187 \| good	31.304 \| good	0.466 \| good	2.183 \| good	0.116 \| good
2025-10-21T00:00:00.000Z	26 \| good	2.788 \| good	11.22 \| good	28.486 \| good	0.466 \| good	2.527 \| good	0.116 \| good
2025-10-21T01:00:00.000Z	25 \| good	3.234 \| good	12.327 \| good	27.082 \| good	0.663 \| good	5.197 \| good	0.133 \| good
2025-10-21T02:00:00.000Z	22 \| good	4.06 \| good	15.13 \| good	23.012 \| good	0.602 \| good	4.506 \| good	0.158 \| good
2025-10-21T02:00:00.000Z	22 \| good	4.06 \| good	15.13 \| good	23.012 \| good	0.602 \| good	4.506 \| good	0.158 \| good
2025-10-21T03:00:00.000Z	38 \| good	6.583 \| good	29.117 \| good	16.683 \| good	1.951 \| good	5.888 \| good	0.167 \| good
2025-10-21T04:00:00.000Z	33 \| good	5.725 \| good	24.932 \| good	11.358 \| good	2.172 \| good	5.057 \| good	0.16 \| good
2025-10-21T05:00:00.000Z	27 \| good	5.434 \| good	23.024 \| good	12.775 \| good	2.394 \| good	4.226 \| good	0.154 \| good
2025-10-21T06:00:00.000Z	22 \| good	4.422 \| good	19.4 \| good	14.136 \| good	2.616 \| good	3.395 \| good	0.147 \| good
2025-10-21T07:00:00.000Z	22 \| good	3.848 \| good	16.603 \| good	15.287 \| good	2.769 \| good	2.931 \| good	0.141 \| good
2025-10-21T08:00:00.000Z	16 \| good	3.117 \| good	13.034 \| good	15.625 \| good	2.922 \| good	2.467 \| good	0.136 \| good
2025-10-21T09:00:00.000Z	14 \| good	2.367 \| good	9.91 \| good	14.761 \| good	3.075 \| good	2.003 \| good	0.13 \| good
2025-10-21T10:00:00.000Z	16 \| good	2.564 \| good	10.023 \| good	12.044 \| good	2.503 \| good	2.03 \| good	0.129 \| good
2025-10-21T11:00:00.000Z	12 \| good	1.914 \| good	7.961 \| good	12.864 \| good	1.931 \| good	2.058 \| good	0.128 \| good
2025-10-21T12:00:00.000Z	13 \| good	2.216 \| good	9.023 \| good	14.144 \| good	1.36 \| good	2.085 \| good	0.127 \| good
2025-10-21T13:00:00.000Z	20 \| good	2.872 \| good	11.983 \| good	22.395 \| good	1.325 \| good	1.905 \| good	0.126 \| good
2025-10-21T14:00:00.000Z	31 \| good	3.868 \| good	16.948 \| good	33.682 \| good	1.29 \| good	1.725 \| good	0.125 \| good
2025-10-21T15:00:00.000Z	31 \| good	3.693 \| good	16.025 \| good	33.81 \| good	1.255 \| good	1.545 \| good	0.124 \| good
2025-10-21T16:00:00.000Z	31 \| good	4.311 \| good	18.977 \| good	34.194 \| good	1.579 \| good	1.398 \| good	0.126 \| good
2025-10-21T17:00:00.000Z	31 \| good	4.942 \| good	21.138 \| good	34.238 \| good	1.904 \| good	1.25 \| good	0.129 \| good
2025-10-21T18:00:00.000Z	38 \| good	6.075 \| good	26.979 \| good	41.159 \| good	2.228 \| good	1.103 \| good	0.131 \| good
2025-10-21T19:00:00.000Z	42 \| good	6.323 \| good	28.04 \| good	45.41 \| good	2.391 \| good	1.114 \| good	0.132 \| good
2025-10-21T20:00:00.000Z	41 \| good	5.648 \| good	24.406 \| good	43.779 \| good	2.554 \| good	1.125 \| good	0.132 \| good
2025-10-21T21:00:00.000Z	43 \| good	5.569 \| good	23.93 \| good	46.115 \| good	2.717 \| good	1.136 \| good	0.133 \| good
2025-10-21T22:00:00.000Z	36 \| good	5.251 \| good	22.84 \| good	39.488 \| good	2.452 \| good	1.643 \| good	0.134 \| good
2025-10-21T23:00:00.000Z	33 \| good	4.346 \| good	18.918 \| good	35.831 \| good	2.186 \| good	2.151 \| good	0.134 \| good
2025-10-22T00:00:00.000Z	30 \| good	4.832 \| good	20.961 \| good	32.194 \| good	1.921 \| good	2.658 \| good	0.135 \| good
2025-10-22T01:00:00.000Z	33 \| good	6.137 \| good	26.964 \| good	26.412 \| good	1.99 \| good	2.641 \| good	0.133 \| good
2025-10-22T02:00:00.000Z	33 \| good	5.953 \| good	26.67 \| good	23.632 \| good	2.058 \| good	2.623 \| good	0.132 \| good
2025-10-22T03:00:00.000Z	23 \| good	4.089 \| good	17.978 \| good	25.07 \| good	2.127 \| good	2.606 \| good	0.13 \| good
2025-10-22T04:00:00.000Z	22 \| good	3.9 \| good	16.984 \| good	22.962 \| good	2.343 \| good	2.499 \| good	0.128 \| good
2025-10-22T05:00:00.000Z	22 \| good	4.252 \| good	18.55 \| good	22.61 \| good	2.558 \| good	2.393 \| good	0.127 \| good
2025-10-22T06:00:00.000Z	24 \| good	3.074 \| good	12.438 \| good	25.814 \| good	2.774 \| good	2.286 \| good	0.125 \| good
2025-10-22T07:00:00.000Z	29 \| good	2.452 \| good	10.023 \| good	30.893 \| good	2.753 \| good	2.191 \| good	0.124 \| good
2025-10-22T08:00:00.000Z	30 \| good	2.157 \| good	9 \| good	32.481 \| good	2.732 \| good	2.096 \| good	0.123 \| good
2025-10-22T09:00:00.000Z	30 \| good	2.286 \| good	9.456 \| good	32.356 \| good	2.712 \| good	2 \| good	0.122 \| good
2025-10-22T10:00:00.000Z	28 \| good	2.711 \| good	11.121 \| good	30.19 \| good	2.482 \| good	2.152 \| good	0.123 \| good
2025-10-22T11:00:00.000Z	27 \| good	2.104 \| good	8.601 \| good	29.022 \| good	2.253 \| good	2.303 \| good	0.125 \| good
2025-10-22T12:00:00.000Z	26 \| good	1.659 \| good	6.992 \| good	28.126 \| good	2.024 \| good	2.454 \| good	0.127 \| good
2025-10-22T13:00:00.000Z	29 \| good	2.079 \| good	8.456 \| good	30.516 \| good	1.826 \| good	2.227 \| good	0.126 \| good
2025-10-22T14:00:00.000Z	31 \| good	2.697 \| good	10.992 \| good	32.559 \| good	1.627 \| good	1.999 \| good	0.126 \| good
2025-10-22T15:00:00.000Z	33 \| good	2.938 \| good	11.983 \| good	35.93 \| good	1.428 \| good	1.771 \| good	0.125 \| good
2025-10-22T16:00:00.000Z	33 \| good	3.063 \| good	12.212 \| good	35.881 \| good	1.435 \| good	1.701 \| good	0.124 \| good
2025-10-22T17:00:00.000Z	29 \| good	3.317 \| good	14.816 \| good	31.215 \| good	1.442 \| good	1.631 \| good	0.124 \| good
2025-10-22T18:00:00.000Z	27 \| good	3.723 \| good	16.344 \| good	29.444 \| good	1.449 \| good	1.561 \| good	0.123 \| good
2025-10-22T19:00:00.000Z	26 \| good	4.14 \| good	18.36 \| good	27.611 \| good	1.544 \| good	1.727 \| good	0.124 \| good
2025-10-22T20:00:00.000Z	24 \| good	4.082 \| good	17.878 \| good	25.878 \| good	1.638 \| good	1.893 \| good	0.126 \| good
2025-10-22T21:00:00.000Z	27 \| good	3.939 \| good	17.071 \| good	28.872 \| good	1.733 \| good	2.06 \| good	0.127 \| good
2025-10-22T22:00:00.000Z	28 \| good	3.527 \| good	15.878 \| good	30.156 \| good	1.801 \| good	2.357 \| good	0.131 \| good
2025-10-22T23:00:00.000Z	26 \| good	3.508 \| good	15.447 \| good	27.696 \| good	1.87 \| good	2.655 \| good	0.134 \| good
2025-10-23T00:00:00.000Z	25 \| good	4.057 \| good	4.059 \| good	27.455 \| good	1.932 \| good	2.951 \| good	0.138 \| good
2025-10-23T01:00:00.000Z	33 \| good	5.873 \| good	25.882 \| good	25.247 \| good	1.941 \| good	2.93 \| good	0.138 \| good
2025-10-23T02:00:00.000Z	33 \| good	6.188 \| good	27.479 \| good	24.48 \| good	1.944 \| good	2.909 \| good	0.138 \| good

Somerset Township, Pennsylvania live air quality index now

Major air pollutants in Somerset Township, Pennsylvania

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

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