What are the current PM10 levels at Peters Township, Pennsylvania?

The current PM10 levels in Peters Township, Pennsylvania are 18.683 μg/m3.

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

The current sulfur dioxide (SO2) levels in Peters Township, Pennsylvania are 1.249 ppb.

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

The current ozone (O3) levels at Peters Township, Pennsylvania is 7.31 ppm.

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

The current nitrogen dioxide (NO2) levels at Peters Township, Pennsylvania is 7.244 ppb.

Real-time air quality index in Peters Township, Pennsylvania today

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

Stay updated with real-time air quality in Peters 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

Peters Township, Pennsylvania

Last updated: ... (Local time)

Common air pollutants in Peters Township, Pennsylvania

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

4.40 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

18.68 μg/m³

155

255

425

605+

Ozone (O₃)

7.31 ppb

201

201+

Sulfur Dioxide (SO₂)

1.25 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

7.24 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.17 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Peters Township, Pennsylvania

Get Live Pollen Counts

Peters Township, Pennsylvania

Scroll To Air Quality Map

Track live Peters Township, Pennsylvania air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T12:00:00.000Z	54 \| moderate	10.905 \| good	46.331 \| good	21.171 \| good	2.375 \| good	5.797 \| good	0.275 \| good
2025-10-19T13:00:00.000Z	52 \| moderate	10.05 \| good	34.941 \| good	22.984 \| good	1.829 \| good	5.979 \| good	0.238 \| good
2025-10-19T14:00:00.000Z	52 \| moderate	9.716 \| good	34.128 \| good	33.502 \| good	2.002 \| good	4.715 \| good	0.227 \| good
2025-10-19T15:00:00.000Z	49 \| good	9.469 \| good	44.779 \| good	39.448 \| good	2.299 \| good	4.804 \| good	0.208 \| good
2025-10-19T16:00:00.000Z	52 \| moderate	10.454 \| good	46.46 \| good	42.862 \| good	1.574 \| good	4.709 \| good	0.187 \| good
2025-10-19T17:00:00.000Z	49 \| good	9.028 \| good	39.625 \| good	39.076 \| good	2.649 \| good	2.407 \| good	0.188 \| good
2025-10-19T18:00:00.000Z	49 \| good	8.746 \| good	37.648 \| good	44.221 \| good	2.583 \| good	2.063 \| good	0.312 \| good
2025-10-19T19:00:00.000Z	38 \| good	7.405 \| good	33.594 \| good	40.305 \| good	1.349 \| good	2.026 \| good	0.146 \| good
2025-10-19T20:00:00.000Z	38 \| good	7.179 \| good	31.514 \| good	39.735 \| good	2.029 \| good	2.69 \| good	0.146 \| good
2025-10-19T21:00:00.000Z	44 \| good	7.662 \| good	37.273 \| good	39.061 \| good	1.209 \| good	2.657 \| good	0.142 \| good
2025-10-19T22:00:00.000Z	34 \| good	6.056 \| good	26.022 \| good	36.708 \| good	1.356 \| good	2.719 \| good	0.141 \| good
2025-10-19T23:00:00.000Z	31 \| good	4.44 \| good	18.599 \| good	33.859 \| good	1.51 \| good	2.589 \| good	0.139 \| good
2025-10-20T00:00:00.000Z	31 \| good	3.215 \| good	13.847 \| good	33.355 \| good	1.824 \| good	2.556 \| good	0.139 \| good
2025-10-20T01:00:00.000Z	34 \| good	2.311 \| good	9.282 \| good	36.615 \| good	3.169 \| good	2.113 \| good	0.12 \| good
2025-10-20T02:00:00.000Z	31 \| good	2.576 \| good	10.785 \| good	32.558 \| good	1.543 \| good	2.071 \| good	0.145 \| good
2025-10-20T03:00:00.000Z	25 \| good	2.139 \| good	9.032 \| good	27.214 \| good	3.196 \| good	1.819 \| good	0.119 \| good
2025-10-20T04:00:00.000Z	29 \| good	1.619 \| good	6.838 \| good	30.913 \| good	5.212 \| good	2.237 \| good	0.119 \| good
2025-10-20T05:00:00.000Z	28 \| good	1.089 \| good	4.179 \| good	30.135 \| good	5.28 \| good	1.795 \| good	0.103 \| good
2025-10-20T06:00:00.000Z	27 \| good	1.066 \| good	4.702 \| good	28.902 \| good	2.333 \| good	2.079 \| good	0.101 \| good
2025-10-20T07:00:00.000Z	25 \| good	0.982 \| good	4.009 \| good	27.287 \| good	1.956 \| good	1.665 \| good	0.1 \| good
2025-10-20T08:00:00.000Z	23 \| good	1.124 \| good	4.352 \| good	25.323 \| good	0.884 \| good	1.372 \| good	0.1 \| good
2025-10-20T09:00:00.000Z	24 \| good	1.586 \| good	6.011 \| good	26.264 \| good	1.009 \| good	1.702 \| good	0.1 \| good
2025-10-20T10:00:00.000Z	24 \| good	2.224 \| good	8.956 \| good	25.809 \| good	1.767 \| good	2.459 \| good	0.141 \| good
2025-10-20T11:00:00.000Z	20 \| good	2.883 \| good	11.155 \| good	22.09 \| good	1.643 \| good	2.978 \| good	0.128 \| good
2025-10-20T12:00:00.000Z	22 \| good	3.761 \| good	15.303 \| good	22.327 \| good	0.88 \| good	4.914 \| good	0.165 \| good
2025-10-20T13:00:00.000Z	22 \| good	3.839 \| good	17.197 \| good	21.741 \| good	0.741 \| good	6.808 \| good	0.181 \| good
2025-10-20T14:00:00.000Z	22 \| good	3.718 \| good	16.724 \| good	19.606 \| good	1.006 \| good	7.355 \| good	0.173 \| good
2025-10-20T15:00:00.000Z	22 \| good	3.766 \| good	17.062 \| good	19.411 \| good	1.832 \| good	5.283 \| good	0.158 \| good
2025-10-20T16:00:00.000Z	21 \| good	3.111 \| good	13.904 \| good	22.932 \| good	1.347 \| good	4.591 \| good	0.156 \| good
2025-10-20T17:00:00.000Z	23 \| good	3.107 \| good	13.151 \| good	25.268 \| good	1.228 \| good	3.861 \| good	0.153 \| good
2025-10-20T18:00:00.000Z	25 \| good	3.009 \| good	11.736 \| good	27.141 \| good	1.577 \| good	3.269 \| good	0.137 \| good
2025-10-20T19:00:00.000Z	26 \| good	2.85 \| good	11.679 \| good	28.391 \| good	2.475 \| good	2.801 \| good	0.136 \| good
2025-10-20T20:00:00.000Z	28 \| good	2.736 \| good	11.389 \| good	30.149 \| good	1.698 \| good	2.62 \| good	0.151 \| good
2025-10-20T21:00:00.000Z	30 \| good	2.687 \| good	10.741 \| good	31.559 \| good	1.01 \| good	2.271 \| good	0.154 \| good
2025-10-20T22:00:00.000Z	29 \| good	2.703 \| good	10.927 \| good	30.697 \| good	0.899 \| good	3.818 \| good	0.157 \| good
2025-10-20T23:00:00.000Z	28 \| good	2.454 \| good	10 \| good	29.746 \| good	0.876 \| good	2.281 \| good	0.153 \| good
2025-10-21T00:00:00.000Z	24 \| good	2.57 \| good	10.407 \| good	25.617 \| good	0.764 \| good	5.081 \| good	0.17 \| good
2025-10-21T01:00:00.000Z	23 \| good	3.001 \| good	15.504 \| good	25.333 \| good	1.378 \| good	12.221 \| good	0.191 \| good
2025-10-21T02:00:00.000Z	27 \| good	5.418 \| good	23.849 \| good	22.868 \| good	1.26 \| good	14.348 \| good	0.281 \| good
2025-10-21T03:00:00.000Z	44 \| good	7.977 \| good	35.279 \| good	12.001 \| good	2.027 \| good	11.927 \| good	0.226 \| good
2025-10-21T04:00:00.000Z	22 \| good	3.967 \| good	16.294 \| good	17.55 \| good	1.319 \| good	17.038 \| good	0.146 \| good
2025-10-21T05:00:00.000Z	22 \| good	3.986 \| good	20.205 \| good	16.002 \| good	1.408 \| good	15.377 \| good	0.145 \| good
2025-10-21T06:00:00.000Z	22 \| good	4.438 \| good	16.082 \| good	9.784 \| good	1.406 \| good	14.022 \| good	0.17 \| good
2025-10-21T07:00:00.000Z	22 \| good	4.267 \| good	19.41 \| good	10.46 \| good	1.398 \| good	12.346 \| good	0.162 \| good
2025-10-21T08:00:00.000Z	22 \| good	3.536 \| good	16.091 \| good	11.5 \| good	1.343 \| good	7.964 \| good	0.144 \| good
2025-10-21T09:00:00.000Z	27 \| good	5.063 \| good	20.119 \| good	9.702 \| good	1.31 \| good	7.28 \| good	0.195 \| good
2025-10-21T10:00:00.000Z	22 \| good	4.446 \| good	16.313 \| good	12.379 \| good	1.277 \| good	7.523 \| good	0.175 \| good
2025-10-21T11:00:00.000Z	22 \| good	4.402 \| good	18.683 \| good	7.31 \| good	1.249 \| good	7.244 \| good	0.165 \| good
2025-10-21T11:00:00.000Z	22 \| good	4.402 \| good	18.683 \| good	7.31 \| good	1.249 \| good	7.244 \| good	0.165 \| good
2025-10-20T07:00:00.000Z	31 \| good	0.488 \| good	2 \| good	32.736 \| good	1.061 \| good	1.684 \| good	0.11 \| good
2025-10-20T08:00:00.000Z	28 \| good	2.647 \| good	10.736 \| good	29.773 \| good	0.934 \| good	1.576 \| good	0.11 \| good
2025-10-20T09:00:00.000Z	27 \| good	5.127 \| good	22.326 \| good	29.096 \| good	0.808 \| good	1.467 \| good	0.11 \| good
2025-10-20T10:00:00.000Z	27 \| good	5.139 \| good	22.057 \| good	25.088 \| good	0.952 \| good	1.928 \| good	0.115 \| good
2025-10-20T11:00:00.000Z	33 \| good	5.521 \| good	23.833 \| good	24.292 \| good	1.095 \| good	2.389 \| good	0.121 \| good
2025-10-20T12:00:00.000Z	33 \| good	6.284 \| good	27.974 \| good	23.526 \| good	1.239 \| good	2.85 \| good	0.126 \| good
2025-10-20T13:00:00.000Z	44 \| good	7.816 \| good	34.034 \| good	25.359 \| good	1.324 \| good	2.614 \| good	0.128 \| good
2025-10-20T14:00:00.000Z	44 \| good	8.032 \| good	35.007 \| good	27.695 \| good	1.41 \| good	2.378 \| good	0.129 \| good
2025-10-20T15:00:00.000Z	33 \| good	5.922 \| good	26.375 \| good	31.496 \| good	1.496 \| good	2.142 \| good	0.131 \| good
2025-10-20T16:00:00.000Z	33 \| good	3.535 \| good	15.478 \| good	35.777 \| good	1.389 \| good	1.886 \| good	0.129 \| good
2025-10-20T17:00:00.000Z	36 \| good	2.709 \| good	11 \| good	39.076 \| good	1.282 \| good	1.629 \| good	0.128 \| good
2025-10-20T18:00:00.000Z	38 \| good	3.051 \| good	12.573 \| good	41.087 \| good	1.176 \| good	1.372 \| good	0.126 \| good
2025-10-20T19:00:00.000Z	39 \| good	4.257 \| good	18.594 \| good	41.528 \| good	1.238 \| good	1.502 \| good	0.127 \| good
2025-10-20T20:00:00.000Z	39 \| good	4.943 \| good	21.207 \| good	41.588 \| good	1.3 \| good	1.633 \| good	0.129 \| good
2025-10-20T21:00:00.000Z	38 \| good	5.936 \| good	26.204 \| good	40.613 \| good	1.362 \| good	1.763 \| good	0.13 \| good
2025-10-20T22:00:00.000Z	33 \| good	5.833 \| good	26.074 \| good	34.614 \| good	1.492 \| good	4.139 \| good	0.15 \| good
2025-10-20T23:00:00.000Z	33 \| good	6.388 \| good	28.715 \| good	27.392 \| good	1.621 \| good	6.514 \| good	0.17 \| good
2025-10-21T00:00:00.000Z	38 \| good	6.559 \| good	29.135 \| good	23.243 \| good	1.751 \| good	8.89 \| good	0.191 \| good
2025-10-21T01:00:00.000Z	38 \| good	6.673 \| good	29.607 \| good	19.138 \| good	1.829 \| good	8.844 \| good	0.192 \| good
2025-10-21T02:00:00.000Z	33 \| good	5.575 \| good	23.92 \| good	15.245 \| good	1.907 \| good	8.799 \| good	0.194 \| good
2025-10-21T03:00:00.000Z	22 \| good	3.843 \| good	16.85 \| good	13.59 \| good	1.985 \| good	8.753 \| good	0.195 \| good
2025-10-21T04:00:00.000Z	16 \| good	2.996 \| good	12.092 \| good	11.592 \| good	2.167 \| good	7.786 \| good	0.188 \| good
2025-10-21T05:00:00.000Z	16 \| good	3.24 \| good	14.156 \| good	10.126 \| good	2.349 \| good	6.818 \| good	0.18 \| good
2025-10-21T06:00:00.000Z	22 \| good	3.692 \| good	15.899 \| good	7.956 \| good	2.531 \| good	5.85 \| good	0.172 \| good
2025-10-21T07:00:00.000Z	22 \| good	3.973 \| good	17.557 \| good	8.004 \| good	2.939 \| good	5.145 \| good	0.163 \| good
2025-10-21T08:00:00.000Z	22 \| good	3.847 \| good	16.815 \| good	6.707 \| good	3.347 \| good	4.44 \| good	0.154 \| good
2025-10-21T09:00:00.000Z	16 \| good	3.307 \| good	14.751 \| good	7.961 \| good	3.755 \| good	3.735 \| good	0.144 \| good
2025-10-21T10:00:00.000Z	16 \| good	3.165 \| good	13.648 \| good	7.919 \| good	3.255 \| good	3.729 \| good	0.143 \| good
2025-10-21T11:00:00.000Z	16 \| good	3.397 \| good	14.577 \| good	9.479 \| good	2.755 \| good	3.723 \| good	0.141 \| good
2025-10-21T12:00:00.000Z	22 \| good	4.228 \| good	18.427 \| good	14.697 \| good	2.255 \| good	3.718 \| good	0.139 \| good
2025-10-21T13:00:00.000Z	22 \| good	4.475 \| good	19.432 \| good	22.118 \| good	2.189 \| good	3.509 \| good	0.139 \| good
2025-10-21T14:00:00.000Z	27 \| good	4.926 \| good	21.452 \| good	27.967 \| good	2.123 \| good	3.3 \| good	0.14 \| good
2025-10-21T15:00:00.000Z	32 \| good	4.755 \| good	20.595 \| good	34.78 \| good	2.057 \| good	3.092 \| good	0.14 \| good
2025-10-21T16:00:00.000Z	35 \| good	5.203 \| good	22.562 \| good	38.241 \| good	2.534 \| good	2.733 \| good	0.138 \| good
2025-10-21T17:00:00.000Z	35 \| good	4.997 \| good	21.618 \| good	37.567 \| good	3.01 \| good	2.375 \| good	0.136 \| good
2025-10-21T18:00:00.000Z	33 \| good	5.487 \| good	23.911 \| good	35.643 \| good	3.487 \| good	2.016 \| good	0.135 \| good
2025-10-21T19:00:00.000Z	31 \| good	5.341 \| good	22.987 \| good	34.151 \| good	3.422 \| good	2.258 \| good	0.137 \| good
2025-10-21T20:00:00.000Z	32 \| good	5.047 \| good	21.818 \| good	34.889 \| good	3.357 \| good	2.499 \| good	0.139 \| good
2025-10-21T21:00:00.000Z	32 \| good	4.959 \| good	21.224 \| good	34.649 \| good	3.292 \| good	2.74 \| good	0.142 \| good
2025-10-21T22:00:00.000Z	30 \| good	4.483 \| good	19.401 \| good	32.214 \| good	3.044 \| good	4.14 \| good	0.152 \| good
2025-10-21T23:00:00.000Z	31 \| good	4.241 \| good	18.79 \| good	32.664 \| good	2.795 \| good	5.54 \| good	0.162 \| good
2025-10-22T00:00:00.000Z	49 \| good	8.519 \| good	8.825 \| good	36.064 \| good	2.547 \| good	6.976 \| good	0.172 \| good
2025-10-22T01:00:00.000Z	28 \| good	3.453 \| good	15.172 \| good	29.905 \| good	2.402 \| good	6.372 \| good	0.165 \| good
2025-10-22T02:00:00.000Z	27 \| good	3.446 \| good	15.219 \| good	28.866 \| good	2.258 \| good	5.805 \| good	0.159 \| good
2025-10-22T03:00:00.000Z	24 \| good	3.765 \| good	16.204 \| good	26.088 \| good	2.113 \| good	5.239 \| good	0.152 \| good
2025-10-22T04:00:00.000Z	24 \| good	3.922 \| good	17.033 \| good	26.244 \| good	2.125 \| good	4.77 \| good	0.147 \| good
2025-10-22T05:00:00.000Z	24 \| good	3.719 \| good	16.119 \| good	26.259 \| good	2.137 \| good	4.302 \| good	0.142 \| good
2025-10-22T06:00:00.000Z	29 \| good	5.21 \| good	5.305 \| good	30.897 \| good	2.146 \| good	3.852 \| good	0.137 \| good

Peters township

Empower business decisions with accurate air quality data

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

0.10ppm

How accurate is Pennsylvania, USA air quality data?

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

Source: Ambee Data Sources

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Frequently asked questions

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

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

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

The worst air quality in Peters Township, Pennsylvania was recorded at 03:00:00 on 2025-10-21.

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

The best air quality in Peters Township, Pennsylvania was recorded at 11:00:00 on 2025-10-20.

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

The real-time air quality index in Peters Township, Pennsylvania is 22, currently categorized as Good.

Which pollutant is found most often in Peters Township, Pennsylvania?

The most common pollutant in Peters Township, Pennsylvania is PM2.5.

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

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

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

The measured PM_2.5 levels in Peters Township, Pennsylvania at present are 4.402 μg/m³.

What are the current PM₁₀ levels at Peters Township, Pennsylvania?

The current PM₁₀ levels in Peters Township, Pennsylvania are 18.683 μg/m³.

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

The current carbon monoxide (CO) level in Peters Township, Pennsylvania is 0.165 ppm.

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

The current sulfur dioxide (SO₂) levels in Peters Township, Pennsylvania are 1.249 ppb.

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

The current ozone (O₃) levels at Peters Township, Pennsylvania is 7.31 ppm.

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

The current nitrogen dioxide (NO₂) levels at Peters Township, Pennsylvania is 7.244 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T12:00:00.000Z	54 \| moderate	10.905 \| good	46.331 \| good	21.171 \| good	2.375 \| good	5.797 \| good	0.275 \| good
2025-10-19T13:00:00.000Z	52 \| moderate	10.05 \| good	34.941 \| good	22.984 \| good	1.829 \| good	5.979 \| good	0.238 \| good
2025-10-19T14:00:00.000Z	52 \| moderate	9.716 \| good	34.128 \| good	33.502 \| good	2.002 \| good	4.715 \| good	0.227 \| good
2025-10-19T15:00:00.000Z	49 \| good	9.469 \| good	44.779 \| good	39.448 \| good	2.299 \| good	4.804 \| good	0.208 \| good
2025-10-19T16:00:00.000Z	52 \| moderate	10.454 \| good	46.46 \| good	42.862 \| good	1.574 \| good	4.709 \| good	0.187 \| good
2025-10-19T17:00:00.000Z	49 \| good	9.028 \| good	39.625 \| good	39.076 \| good	2.649 \| good	2.407 \| good	0.188 \| good
2025-10-19T18:00:00.000Z	49 \| good	8.746 \| good	37.648 \| good	44.221 \| good	2.583 \| good	2.063 \| good	0.312 \| good
2025-10-19T19:00:00.000Z	38 \| good	7.405 \| good	33.594 \| good	40.305 \| good	1.349 \| good	2.026 \| good	0.146 \| good
2025-10-19T20:00:00.000Z	38 \| good	7.179 \| good	31.514 \| good	39.735 \| good	2.029 \| good	2.69 \| good	0.146 \| good
2025-10-19T21:00:00.000Z	44 \| good	7.662 \| good	37.273 \| good	39.061 \| good	1.209 \| good	2.657 \| good	0.142 \| good
2025-10-19T22:00:00.000Z	34 \| good	6.056 \| good	26.022 \| good	36.708 \| good	1.356 \| good	2.719 \| good	0.141 \| good
2025-10-19T23:00:00.000Z	31 \| good	4.44 \| good	18.599 \| good	33.859 \| good	1.51 \| good	2.589 \| good	0.139 \| good
2025-10-20T00:00:00.000Z	31 \| good	3.215 \| good	13.847 \| good	33.355 \| good	1.824 \| good	2.556 \| good	0.139 \| good
2025-10-20T01:00:00.000Z	34 \| good	2.311 \| good	9.282 \| good	36.615 \| good	3.169 \| good	2.113 \| good	0.12 \| good
2025-10-20T02:00:00.000Z	31 \| good	2.576 \| good	10.785 \| good	32.558 \| good	1.543 \| good	2.071 \| good	0.145 \| good
2025-10-20T03:00:00.000Z	25 \| good	2.139 \| good	9.032 \| good	27.214 \| good	3.196 \| good	1.819 \| good	0.119 \| good
2025-10-20T04:00:00.000Z	29 \| good	1.619 \| good	6.838 \| good	30.913 \| good	5.212 \| good	2.237 \| good	0.119 \| good
2025-10-20T05:00:00.000Z	28 \| good	1.089 \| good	4.179 \| good	30.135 \| good	5.28 \| good	1.795 \| good	0.103 \| good
2025-10-20T06:00:00.000Z	27 \| good	1.066 \| good	4.702 \| good	28.902 \| good	2.333 \| good	2.079 \| good	0.101 \| good
2025-10-20T07:00:00.000Z	25 \| good	0.982 \| good	4.009 \| good	27.287 \| good	1.956 \| good	1.665 \| good	0.1 \| good
2025-10-20T08:00:00.000Z	23 \| good	1.124 \| good	4.352 \| good	25.323 \| good	0.884 \| good	1.372 \| good	0.1 \| good
2025-10-20T09:00:00.000Z	24 \| good	1.586 \| good	6.011 \| good	26.264 \| good	1.009 \| good	1.702 \| good	0.1 \| good
2025-10-20T10:00:00.000Z	24 \| good	2.224 \| good	8.956 \| good	25.809 \| good	1.767 \| good	2.459 \| good	0.141 \| good
2025-10-20T11:00:00.000Z	20 \| good	2.883 \| good	11.155 \| good	22.09 \| good	1.643 \| good	2.978 \| good	0.128 \| good
2025-10-20T12:00:00.000Z	22 \| good	3.761 \| good	15.303 \| good	22.327 \| good	0.88 \| good	4.914 \| good	0.165 \| good
2025-10-20T13:00:00.000Z	22 \| good	3.839 \| good	17.197 \| good	21.741 \| good	0.741 \| good	6.808 \| good	0.181 \| good
2025-10-20T14:00:00.000Z	22 \| good	3.718 \| good	16.724 \| good	19.606 \| good	1.006 \| good	7.355 \| good	0.173 \| good
2025-10-20T15:00:00.000Z	22 \| good	3.766 \| good	17.062 \| good	19.411 \| good	1.832 \| good	5.283 \| good	0.158 \| good
2025-10-20T16:00:00.000Z	21 \| good	3.111 \| good	13.904 \| good	22.932 \| good	1.347 \| good	4.591 \| good	0.156 \| good
2025-10-20T17:00:00.000Z	23 \| good	3.107 \| good	13.151 \| good	25.268 \| good	1.228 \| good	3.861 \| good	0.153 \| good
2025-10-20T18:00:00.000Z	25 \| good	3.009 \| good	11.736 \| good	27.141 \| good	1.577 \| good	3.269 \| good	0.137 \| good
2025-10-20T19:00:00.000Z	26 \| good	2.85 \| good	11.679 \| good	28.391 \| good	2.475 \| good	2.801 \| good	0.136 \| good
2025-10-20T20:00:00.000Z	28 \| good	2.736 \| good	11.389 \| good	30.149 \| good	1.698 \| good	2.62 \| good	0.151 \| good
2025-10-20T21:00:00.000Z	30 \| good	2.687 \| good	10.741 \| good	31.559 \| good	1.01 \| good	2.271 \| good	0.154 \| good
2025-10-20T22:00:00.000Z	29 \| good	2.703 \| good	10.927 \| good	30.697 \| good	0.899 \| good	3.818 \| good	0.157 \| good
2025-10-20T23:00:00.000Z	28 \| good	2.454 \| good	10 \| good	29.746 \| good	0.876 \| good	2.281 \| good	0.153 \| good
2025-10-21T00:00:00.000Z	24 \| good	2.57 \| good	10.407 \| good	25.617 \| good	0.764 \| good	5.081 \| good	0.17 \| good
2025-10-21T01:00:00.000Z	23 \| good	3.001 \| good	15.504 \| good	25.333 \| good	1.378 \| good	12.221 \| good	0.191 \| good
2025-10-21T02:00:00.000Z	27 \| good	5.418 \| good	23.849 \| good	22.868 \| good	1.26 \| good	14.348 \| good	0.281 \| good
2025-10-21T03:00:00.000Z	44 \| good	7.977 \| good	35.279 \| good	12.001 \| good	2.027 \| good	11.927 \| good	0.226 \| good
2025-10-21T04:00:00.000Z	22 \| good	3.967 \| good	16.294 \| good	17.55 \| good	1.319 \| good	17.038 \| good	0.146 \| good
2025-10-21T05:00:00.000Z	22 \| good	3.986 \| good	20.205 \| good	16.002 \| good	1.408 \| good	15.377 \| good	0.145 \| good
2025-10-21T06:00:00.000Z	22 \| good	4.438 \| good	16.082 \| good	9.784 \| good	1.406 \| good	14.022 \| good	0.17 \| good
2025-10-21T07:00:00.000Z	22 \| good	4.267 \| good	19.41 \| good	10.46 \| good	1.398 \| good	12.346 \| good	0.162 \| good
2025-10-21T08:00:00.000Z	22 \| good	3.536 \| good	16.091 \| good	11.5 \| good	1.343 \| good	7.964 \| good	0.144 \| good
2025-10-21T09:00:00.000Z	27 \| good	5.063 \| good	20.119 \| good	9.702 \| good	1.31 \| good	7.28 \| good	0.195 \| good
2025-10-21T10:00:00.000Z	22 \| good	4.446 \| good	16.313 \| good	12.379 \| good	1.277 \| good	7.523 \| good	0.175 \| good
2025-10-21T11:00:00.000Z	22 \| good	4.402 \| good	18.683 \| good	7.31 \| good	1.249 \| good	7.244 \| good	0.165 \| good
2025-10-21T11:00:00.000Z	22 \| good	4.402 \| good	18.683 \| good	7.31 \| good	1.249 \| good	7.244 \| good	0.165 \| good
2025-10-20T07:00:00.000Z	31 \| good	0.488 \| good	2 \| good	32.736 \| good	1.061 \| good	1.684 \| good	0.11 \| good
2025-10-20T08:00:00.000Z	28 \| good	2.647 \| good	10.736 \| good	29.773 \| good	0.934 \| good	1.576 \| good	0.11 \| good
2025-10-20T09:00:00.000Z	27 \| good	5.127 \| good	22.326 \| good	29.096 \| good	0.808 \| good	1.467 \| good	0.11 \| good
2025-10-20T10:00:00.000Z	27 \| good	5.139 \| good	22.057 \| good	25.088 \| good	0.952 \| good	1.928 \| good	0.115 \| good
2025-10-20T11:00:00.000Z	33 \| good	5.521 \| good	23.833 \| good	24.292 \| good	1.095 \| good	2.389 \| good	0.121 \| good
2025-10-20T12:00:00.000Z	33 \| good	6.284 \| good	27.974 \| good	23.526 \| good	1.239 \| good	2.85 \| good	0.126 \| good
2025-10-20T13:00:00.000Z	44 \| good	7.816 \| good	34.034 \| good	25.359 \| good	1.324 \| good	2.614 \| good	0.128 \| good
2025-10-20T14:00:00.000Z	44 \| good	8.032 \| good	35.007 \| good	27.695 \| good	1.41 \| good	2.378 \| good	0.129 \| good
2025-10-20T15:00:00.000Z	33 \| good	5.922 \| good	26.375 \| good	31.496 \| good	1.496 \| good	2.142 \| good	0.131 \| good
2025-10-20T16:00:00.000Z	33 \| good	3.535 \| good	15.478 \| good	35.777 \| good	1.389 \| good	1.886 \| good	0.129 \| good
2025-10-20T17:00:00.000Z	36 \| good	2.709 \| good	11 \| good	39.076 \| good	1.282 \| good	1.629 \| good	0.128 \| good
2025-10-20T18:00:00.000Z	38 \| good	3.051 \| good	12.573 \| good	41.087 \| good	1.176 \| good	1.372 \| good	0.126 \| good
2025-10-20T19:00:00.000Z	39 \| good	4.257 \| good	18.594 \| good	41.528 \| good	1.238 \| good	1.502 \| good	0.127 \| good
2025-10-20T20:00:00.000Z	39 \| good	4.943 \| good	21.207 \| good	41.588 \| good	1.3 \| good	1.633 \| good	0.129 \| good
2025-10-20T21:00:00.000Z	38 \| good	5.936 \| good	26.204 \| good	40.613 \| good	1.362 \| good	1.763 \| good	0.13 \| good
2025-10-20T22:00:00.000Z	33 \| good	5.833 \| good	26.074 \| good	34.614 \| good	1.492 \| good	4.139 \| good	0.15 \| good
2025-10-20T23:00:00.000Z	33 \| good	6.388 \| good	28.715 \| good	27.392 \| good	1.621 \| good	6.514 \| good	0.17 \| good
2025-10-21T00:00:00.000Z	38 \| good	6.559 \| good	29.135 \| good	23.243 \| good	1.751 \| good	8.89 \| good	0.191 \| good
2025-10-21T01:00:00.000Z	38 \| good	6.673 \| good	29.607 \| good	19.138 \| good	1.829 \| good	8.844 \| good	0.192 \| good
2025-10-21T02:00:00.000Z	33 \| good	5.575 \| good	23.92 \| good	15.245 \| good	1.907 \| good	8.799 \| good	0.194 \| good
2025-10-21T03:00:00.000Z	22 \| good	3.843 \| good	16.85 \| good	13.59 \| good	1.985 \| good	8.753 \| good	0.195 \| good
2025-10-21T04:00:00.000Z	16 \| good	2.996 \| good	12.092 \| good	11.592 \| good	2.167 \| good	7.786 \| good	0.188 \| good
2025-10-21T05:00:00.000Z	16 \| good	3.24 \| good	14.156 \| good	10.126 \| good	2.349 \| good	6.818 \| good	0.18 \| good
2025-10-21T06:00:00.000Z	22 \| good	3.692 \| good	15.899 \| good	7.956 \| good	2.531 \| good	5.85 \| good	0.172 \| good
2025-10-21T07:00:00.000Z	22 \| good	3.973 \| good	17.557 \| good	8.004 \| good	2.939 \| good	5.145 \| good	0.163 \| good
2025-10-21T08:00:00.000Z	22 \| good	3.847 \| good	16.815 \| good	6.707 \| good	3.347 \| good	4.44 \| good	0.154 \| good
2025-10-21T09:00:00.000Z	16 \| good	3.307 \| good	14.751 \| good	7.961 \| good	3.755 \| good	3.735 \| good	0.144 \| good
2025-10-21T10:00:00.000Z	16 \| good	3.165 \| good	13.648 \| good	7.919 \| good	3.255 \| good	3.729 \| good	0.143 \| good
2025-10-21T11:00:00.000Z	16 \| good	3.397 \| good	14.577 \| good	9.479 \| good	2.755 \| good	3.723 \| good	0.141 \| good
2025-10-21T12:00:00.000Z	22 \| good	4.228 \| good	18.427 \| good	14.697 \| good	2.255 \| good	3.718 \| good	0.139 \| good
2025-10-21T13:00:00.000Z	22 \| good	4.475 \| good	19.432 \| good	22.118 \| good	2.189 \| good	3.509 \| good	0.139 \| good
2025-10-21T14:00:00.000Z	27 \| good	4.926 \| good	21.452 \| good	27.967 \| good	2.123 \| good	3.3 \| good	0.14 \| good
2025-10-21T15:00:00.000Z	32 \| good	4.755 \| good	20.595 \| good	34.78 \| good	2.057 \| good	3.092 \| good	0.14 \| good
2025-10-21T16:00:00.000Z	35 \| good	5.203 \| good	22.562 \| good	38.241 \| good	2.534 \| good	2.733 \| good	0.138 \| good
2025-10-21T17:00:00.000Z	35 \| good	4.997 \| good	21.618 \| good	37.567 \| good	3.01 \| good	2.375 \| good	0.136 \| good
2025-10-21T18:00:00.000Z	33 \| good	5.487 \| good	23.911 \| good	35.643 \| good	3.487 \| good	2.016 \| good	0.135 \| good
2025-10-21T19:00:00.000Z	31 \| good	5.341 \| good	22.987 \| good	34.151 \| good	3.422 \| good	2.258 \| good	0.137 \| good
2025-10-21T20:00:00.000Z	32 \| good	5.047 \| good	21.818 \| good	34.889 \| good	3.357 \| good	2.499 \| good	0.139 \| good
2025-10-21T21:00:00.000Z	32 \| good	4.959 \| good	21.224 \| good	34.649 \| good	3.292 \| good	2.74 \| good	0.142 \| good
2025-10-21T22:00:00.000Z	30 \| good	4.483 \| good	19.401 \| good	32.214 \| good	3.044 \| good	4.14 \| good	0.152 \| good
2025-10-21T23:00:00.000Z	31 \| good	4.241 \| good	18.79 \| good	32.664 \| good	2.795 \| good	5.54 \| good	0.162 \| good
2025-10-22T00:00:00.000Z	49 \| good	8.519 \| good	8.825 \| good	36.064 \| good	2.547 \| good	6.976 \| good	0.172 \| good
2025-10-22T01:00:00.000Z	28 \| good	3.453 \| good	15.172 \| good	29.905 \| good	2.402 \| good	6.372 \| good	0.165 \| good
2025-10-22T02:00:00.000Z	27 \| good	3.446 \| good	15.219 \| good	28.866 \| good	2.258 \| good	5.805 \| good	0.159 \| good
2025-10-22T03:00:00.000Z	24 \| good	3.765 \| good	16.204 \| good	26.088 \| good	2.113 \| good	5.239 \| good	0.152 \| good
2025-10-22T04:00:00.000Z	24 \| good	3.922 \| good	17.033 \| good	26.244 \| good	2.125 \| good	4.77 \| good	0.147 \| good
2025-10-22T05:00:00.000Z	24 \| good	3.719 \| good	16.119 \| good	26.259 \| good	2.137 \| good	4.302 \| good	0.142 \| good
2025-10-22T06:00:00.000Z	29 \| good	5.21 \| good	5.305 \| good	30.897 \| good	2.146 \| good	3.852 \| good	0.137 \| good

Real-time air quality index in Peters Township, Pennsylvania today

Common air pollutants in Peters Township, Pennsylvania

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Peters Township, Pennsylvania air quality forecast and history

Empower business decisions with accurate air quality data

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

Air quality in nearby cities

Peters Township, Pennsylvania

Bethel Park, Pennsylvania

Upper St. Clair, Pennsylvania

South Park, Pennsylvania

North Strabane, Pennsylvania

Cecil, Pennsylvania

How accurate is Pennsylvania, USA air quality data?

Air quality levels in US

Frequently asked questions

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

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

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

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

Which pollutant is found most often in Peters Township, Pennsylvania?

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

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

What are the current PM10 levels at Peters Township, Pennsylvania?

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

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

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

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

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

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

What are the current PM₁₀ levels at Peters Township, Pennsylvania?

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

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

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