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

The current PM10 levels in Lehman Township, Pennsylvania are 8.502 μg/m3.

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

The current sulfur dioxide (SO2) levels in Lehman Township, Pennsylvania are 0.237 ppb.

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

The current ozone (O3) levels at Lehman Township, Pennsylvania is 28.567 ppm.

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

The current nitrogen dioxide (NO2) levels at Lehman Township, Pennsylvania is 3.706 ppb.

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

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

The measured PM2.5 levels in Lehman Township, Pennsylvania at present are 1.765 μg/m3.

Stay updated with real-time air quality in Lehman 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

Lehman Township, Pennsylvania

Last updated: ... (Local time)

Common air pollutants in Lehman Township, Pennsylvania

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

1.76 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

8.50 μg/m³

155

255

425

605+

Ozone (O₃)

28.57 ppb

201

201+

Sulfur Dioxide (SO₂)

0.24 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

3.71 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.22 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

Lehman Township, Pennsylvania

Get Live Pollen Counts

Lehman Township, Pennsylvania

Scroll To Air Quality Map

Track live Lehman Township, Pennsylvania air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-20T21:00:00.000Z	25 \| good	2.221 \| good	9.814 \| good	26.759 \| good	0.206 \| good	3.136 \| good	0.198 \| good
2025-10-20T22:00:00.000Z	23 \| good	1.886 \| good	6.694 \| good	24.902 \| good	0.56 \| good	4.411 \| good	0.176 \| good
2025-10-20T23:00:00.000Z	25 \| good	2.172 \| good	7.434 \| good	27.439 \| good	0.2 \| good	4.669 \| good	0.173 \| good
2025-10-21T00:00:00.000Z	20 \| good	1.871 \| good	8.743 \| good	21.663 \| good	0.186 \| good	6.018 \| good	0.217 \| good
2025-10-21T01:00:00.000Z	20 \| good	1.87 \| good	9.726 \| good	22.482 \| good	0.209 \| good	6.888 \| good	0.217 \| good
2025-10-21T02:00:00.000Z	20 \| good	2.375 \| good	10.483 \| good	22.445 \| good	0.208 \| good	7.596 \| good	0.217 \| good
2025-10-21T03:00:00.000Z	24 \| good	2.57 \| good	10.778 \| good	25.685 \| good	0.39 \| good	2.329 \| good	0.126 \| good
2025-10-21T04:00:00.000Z	20 \| good	2.751 \| good	22.018 \| good	21.82 \| good	0.222 \| good	4.469 \| good	0.214 \| good
2025-10-21T05:00:00.000Z	20 \| good	2.012 \| good	5.676 \| good	22.104 \| good	0.251 \| good	4.068 \| good	0.214 \| good
2025-10-21T06:00:00.000Z	20 \| good	2.485 \| good	12.958 \| good	21.892 \| good	0.238 \| good	3.8 \| good	0.155 \| good
2025-10-21T07:00:00.000Z	20 \| good	3.261 \| good	9.989 \| good	21.573 \| good	0.214 \| good	6.979 \| good	0.173 \| good
2025-10-21T08:00:00.000Z	17 \| good	2.886 \| good	11.03 \| good	17.982 \| good	0.229 \| good	6.436 \| good	0.176 \| good
2025-10-21T09:00:00.000Z	16 \| good	3.289 \| good	11.433 \| good	16.59 \| good	0.253 \| good	6.189 \| good	0.176 \| good
2025-10-21T10:00:00.000Z	16 \| good	3.31 \| good	12.778 \| good	16.837 \| good	0.417 \| good	8.625 \| good	0.217 \| good
2025-10-21T11:00:00.000Z	17 \| good	2.808 \| good	9.691 \| good	17.839 \| good	0.436 \| good	10.412 \| good	0.216 \| good
2025-10-21T12:00:00.000Z	22 \| good	3.576 \| good	12.957 \| good	13.396 \| good	0.374 \| good	10.776 \| good	0.294 \| good
2025-10-21T13:00:00.000Z	22 \| good	3.655 \| good	12.788 \| good	14.098 \| good	0.657 \| good	11.442 \| good	0.417 \| good
2025-10-21T14:00:00.000Z	22 \| good	4.09 \| good	17.341 \| good	13.803 \| good	0.9 \| good	11.933 \| good	0.472 \| good
2025-10-21T15:00:00.000Z	22 \| good	4.053 \| good	19.564 \| good	12.066 \| good	1.939 \| good	5.844 \| good	0.372 \| good
2025-10-21T16:00:00.000Z	17 \| good	2.646 \| good	11.692 \| good	18.004 \| good	2.185 \| good	5.152 \| good	0.335 \| good
2025-10-21T17:00:00.000Z	23 \| good	2.996 \| good	21.826 \| good	24.683 \| good	2.107 \| good	7.387 \| good	0.238 \| good
2025-10-21T18:00:00.000Z	27 \| good	3.113 \| good	14.504 \| good	28.923 \| good	0.781 \| good	5.644 \| good	0.255 \| good
2025-10-21T19:00:00.000Z	29 \| good	2.614 \| good	14.467 \| good	30.674 \| good	0.671 \| good	4.349 \| good	0.257 \| good
2025-10-21T20:00:00.000Z	33 \| good	2.868 \| good	12.1 \| good	35.605 \| good	0.323 \| good	3.807 \| good	0.257 \| good
2025-10-21T21:00:00.000Z	35 \| good	2.869 \| good	11.612 \| good	38.479 \| good	0.294 \| good	3.919 \| good	0.277 \| good
2025-10-21T22:00:00.000Z	35 \| good	2.161 \| good	7.689 \| good	38.196 \| good	0.33 \| good	5.598 \| good	0.277 \| good
2025-10-21T23:00:00.000Z	36 \| good	2.173 \| good	9.452 \| good	38.828 \| good	0.326 \| good	8.25 \| good	0.295 \| good
2025-10-22T00:00:00.000Z	32 \| good	3.701 \| good	16.935 \| good	35.321 \| good	0.341 \| good	7.592 \| good	0.314 \| good
2025-10-22T01:00:00.000Z	27 \| good	4.62 \| good	11.446 \| good	25.811 \| good	0.368 \| good	7.995 \| good	0.314 \| good
2025-10-22T02:00:00.000Z	27 \| good	5.225 \| good	21.842 \| good	28.002 \| good	0.203 \| good	8.715 \| good	0.251 \| good
2025-10-22T03:00:00.000Z	49 \| good	8.875 \| good	39.307 \| good	25.199 \| good	2.281 \| good	8.173 \| good	0.193 \| good
2025-10-22T04:00:00.000Z	33 \| good	5.709 \| good	23.993 \| good	24.754 \| good	0.309 \| good	10.428 \| good	0.252 \| good
2025-10-22T05:00:00.000Z	44 \| good	7.644 \| good	36.831 \| good	18.417 \| good	0.301 \| good	10.399 \| good	0.214 \| good
2025-10-22T06:00:00.000Z	38 \| good	6.818 \| good	33.686 \| good	17.907 \| good	0.264 \| good	14.059 \| good	0.214 \| good
2025-10-22T07:00:00.000Z	38 \| good	6.532 \| good	31.706 \| good	15.948 \| good	0.265 \| good	12.543 \| good	0.214 \| good
2025-10-22T08:00:00.000Z	38 \| good	7.253 \| good	29.59 \| good	14.533 \| good	0.302 \| good	10.31 \| good	0.124 \| good
2025-10-22T09:00:00.000Z	44 \| good	7.784 \| good	36.53 \| good	18.507 \| good	0.29 \| good	10.726 \| good	0.234 \| good
2025-10-22T10:00:00.000Z	33 \| good	5.525 \| good	23.684 \| good	18.743 \| good	0.268 \| good	9.022 \| good	0.319 \| good
2025-10-22T11:00:00.000Z	33 \| good	5.873 \| good	24.845 \| good	14.367 \| good	0.165 \| good	8.015 \| good	0.304 \| good
2025-10-22T12:00:00.000Z	38 \| good	7.04 \| good	18.372 \| good	16.997 \| good	0.195 \| good	8.562 \| good	0.339 \| good
2025-10-22T13:00:00.000Z	38 \| good	7.487 \| good	31.472 \| good	22.499 \| good	0.195 \| good	9.459 \| good	0.357 \| good
2025-10-22T14:00:00.000Z	49 \| good	8.565 \| good	32.646 \| good	26.477 \| good	0.307 \| good	4.429 \| good	0.298 \| good
2025-10-22T15:00:00.000Z	38 \| good	6.937 \| good	29.288 \| good	27.929 \| good	0.32 \| good	3.632 \| good	0.298 \| good
2025-10-22T16:00:00.000Z	27 \| good	4.673 \| good	21.565 \| good	27.764 \| good	0.432 \| good	4.384 \| good	0.214 \| good
2025-10-22T17:00:00.000Z	27 \| good	3.358 \| good	15.394 \| good	29.239 \| good	0.528 \| good	3.447 \| good	0.196 \| good
2025-10-22T18:00:00.000Z	27 \| good	3.715 \| good	17.316 \| good	28.906 \| good	0.259 \| good	3.239 \| good	0.155 \| good
2025-10-22T19:00:00.000Z	26 \| good	2.559 \| good	14.174 \| good	28.483 \| good	0.213 \| good	2.659 \| good	0.155 \| good
2025-10-22T20:00:00.000Z	27 \| good	1.765 \| good	8.502 \| good	28.567 \| good	0.237 \| good	3.706 \| good	0.217 \| good
2025-10-22T20:00:00.000Z	27 \| good	1.765 \| good	8.502 \| good	28.567 \| good	0.237 \| good	3.706 \| good	0.217 \| good
2025-10-22T21:00:00.000Z	29 \| good	0.927 \| good	3.365 \| good	30.896 \| good	1.432 \| good	1.68 \| good	0.133 \| good
2025-10-22T22:00:00.000Z	27 \| good	2.48 \| good	10.181 \| good	29.177 \| good	1.515 \| good	2.434 \| good	0.14 \| good
2025-10-22T23:00:00.000Z	26 \| good	2.293 \| good	9.495 \| good	28.199 \| good	1.597 \| good	3.188 \| good	0.146 \| good
2025-10-23T00:00:00.000Z	26 \| good	2.557 \| good	10.695 \| good	27.506 \| good	1.68 \| good	3.943 \| good	0.153 \| good
2025-10-23T01:00:00.000Z	26 \| good	4.032 \| good	17.697 \| good	28.461 \| good	1.823 \| good	3.997 \| good	0.154 \| good
2025-10-23T02:00:00.000Z	27 \| good	3.376 \| good	14.936 \| good	29.046 \| good	1.967 \| good	4.051 \| good	0.155 \| good
2025-10-23T03:00:00.000Z	26 \| good	4.283 \| good	18.803 \| good	28.261 \| good	2.11 \| good	4.105 \| good	0.156 \| good
2025-10-23T04:00:00.000Z	24 \| good	3.972 \| good	17.141 \| good	25.773 \| good	2.252 \| good	3.864 \| good	0.155 \| good
2025-10-23T05:00:00.000Z	27 \| good	5.097 \| good	22.14 \| good	23.143 \| good	2.393 \| good	3.623 \| good	0.153 \| good
2025-10-23T06:00:00.000Z	22 \| good	3.866 \| good	16.686 \| good	21.326 \| good	2.535 \| good	3.382 \| good	0.151 \| good
2025-10-23T07:00:00.000Z	22 \| good	3.766 \| good	16.488 \| good	19.593 \| good	2.575 \| good	3.243 \| good	0.15 \| good
2025-10-23T08:00:00.000Z	22 \| good	3.665 \| good	15.938 \| good	17.382 \| good	2.615 \| good	3.103 \| good	0.148 \| good
2025-10-23T09:00:00.000Z	17 \| good	3.478 \| good	15.141 \| good	17.898 \| good	2.656 \| good	2.964 \| good	0.147 \| good
2025-10-23T10:00:00.000Z	27 \| good	4.793 \| good	20.829 \| good	15.836 \| good	2.621 \| good	3.378 \| good	0.151 \| good
2025-10-23T11:00:00.000Z	22 \| good	3.924 \| good	17.137 \| good	15.48 \| good	2.586 \| good	3.791 \| good	0.154 \| good
2025-10-23T12:00:00.000Z	17 \| good	2.918 \| good	11.862 \| good	18.265 \| good	2.552 \| good	4.205 \| good	0.158 \| good
2025-10-23T13:00:00.000Z	20 \| good	1.043 \| good	4.206 \| good	21.644 \| good	2.359 \| good	3.629 \| good	0.153 \| good
2025-10-23T14:00:00.000Z	21 \| good	2.66 \| good	10.904 \| good	22.966 \| good	2.165 \| good	3.053 \| good	0.149 \| good
2025-10-23T15:00:00.000Z	23 \| good	1.861 \| good	7.686 \| good	25.249 \| good	1.972 \| good	2.478 \| good	0.144 \| good
2025-10-23T16:00:00.000Z	23 \| good	1.324 \| good	5.098 \| good	25.404 \| good	1.714 \| good	2.111 \| good	0.141 \| good
2025-10-23T17:00:00.000Z	24 \| good	1.225 \| good	4.928 \| good	25.667 \| good	1.456 \| good	1.745 \| good	0.138 \| good
2025-10-23T18:00:00.000Z	24 \| good	2.071 \| good	8.585 \| good	25.713 \| good	1.198 \| good	1.379 \| good	0.135 \| good
2025-10-23T19:00:00.000Z	23 \| good	2.041 \| good	8.141 \| good	24.982 \| good	1.094 \| good	1.458 \| good	0.135 \| good
2025-10-23T20:00:00.000Z	22 \| good	0.516 \| good	1.927 \| good	24.377 \| good	0.99 \| good	1.537 \| good	0.136 \| good
2025-10-23T21:00:00.000Z	24 \| good	0.631 \| good	2.23 \| good	25.643 \| good	0.886 \| good	1.617 \| good	0.136 \| good
2025-10-23T22:00:00.000Z	23 \| good	2.218 \| good	9.209 \| good	24.535 \| good	0.926 \| good	2.54 \| good	0.145 \| good
2025-10-23T23:00:00.000Z	26 \| good	1.257 \| good	4.87 \| good	27.726 \| good	0.966 \| good	3.463 \| good	0.154 \| good
2025-10-24T00:00:00.000Z	26 \| good	1.389 \| good	5.803 \| good	27.677 \| good	1.005 \| good	4.387 \| good	0.163 \| good
2025-10-24T01:00:00.000Z	26 \| good	2.449 \| good	9.764 \| good	27.688 \| good	0.939 \| good	4.16 \| good	0.162 \| good
2025-10-24T02:00:00.000Z	25 \| good	1.391 \| good	5.585 \| good	26.666 \| good	0.872 \| good	3.933 \| good	0.161 \| good
2025-10-24T03:00:00.000Z	25 \| good	1.954 \| good	7.971 \| good	27.098 \| good	0.806 \| good	3.706 \| good	0.159 \| good
2025-10-24T04:00:00.000Z	25 \| good	1.327 \| good	5.064 \| good	26.701 \| good	0.685 \| good	3.32 \| good	0.154 \| good
2025-10-24T05:00:00.000Z	22 \| good	2.18 \| good	8.798 \| good	23.711 \| good	0.564 \| good	2.935 \| good	0.149 \| good
2025-10-24T06:00:00.000Z	19 \| good	1.493 \| good	5.89 \| good	20.123 \| good	0.443 \| good	2.549 \| good	0.144 \| good
2025-10-24T07:00:00.000Z	17 \| good	1.963 \| good	7.798 \| good	17.81 \| good	0.413 \| good	2.424 \| good	0.142 \| good
2025-10-24T08:00:00.000Z	14 \| good	1.802 \| good	7.48 \| good	15.075 \| good	0.383 \| good	2.3 \| good	0.14 \| good
2025-10-24T09:00:00.000Z	13 \| good	0.339 \| good	1.381 \| good	13.813 \| good	0.353 \| good	2.176 \| good	0.137 \| good
2025-10-24T10:00:00.000Z	13 \| good	1.564 \| good	6.365 \| good	13.889 \| good	0.393 \| good	2.896 \| good	0.145 \| good
2025-10-24T11:00:00.000Z	14 \| good	0.918 \| good	3.764 \| good	14.58 \| good	0.434 \| good	3.617 \| good	0.153 \| good
2025-10-24T12:00:00.000Z	13 \| good	0.646 \| good	2.343 \| good	13.892 \| good	0.474 \| good	4.338 \| good	0.161 \| good
2025-10-24T13:00:00.000Z	19 \| good	0.705 \| good	2.659 \| good	20.05 \| good	0.473 \| good	3.39 \| good	0.155 \| good
2025-10-24T14:00:00.000Z	25 \| good	0.829 \| good	3.163 \| good	26.995 \| good	0.471 \| good	2.441 \| good	0.15 \| good
2025-10-24T15:00:00.000Z	28 \| good	1.115 \| good	4.697 \| good	29.849 \| good	0.47 \| good	1.492 \| good	0.144 \| good
2025-10-24T16:00:00.000Z	28 \| good	0.368 \| good	1.242 \| good	30.471 \| good	0.437 \| good	1.328 \| good	0.142 \| good
2025-10-24T17:00:00.000Z	29 \| good	0.435 \| good	1.894 \| good	31.18 \| good	0.403 \| good	1.163 \| good	0.14 \| good
2025-10-24T18:00:00.000Z	30 \| good	0.995 \| good	3.9 \| good	32.042 \| good	0.37 \| good	0.998 \| good	0.138 \| good
2025-10-24T19:00:00.000Z	30 \| good	0.564 \| good	2 \| good	31.665 \| good	0.341 \| good	1.056 \| good	0.137 \| good
2025-10-24T20:00:00.000Z	28 \| good	0.43 \| good	1.458 \| good	30.476 \| good	0.313 \| good	1.113 \| good	0.136 \| good

Lehman township

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

0.17ppm

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 Lehman Township, Pennsylvania updated?

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

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

The worst air quality in Lehman Township, Pennsylvania was recorded at 02:00:00 on 2025-10-22.

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

The best air quality in Lehman Township, Pennsylvania was recorded at 07:00:00 on 2025-10-22.

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

The real-time air quality index in Lehman Township, Pennsylvania is 27, currently categorized as Good.

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

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

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

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

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

The measured PM_2.5 levels in Lehman Township, Pennsylvania at present are 1.765 μg/m³.

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

The current PM₁₀ levels in Lehman Township, Pennsylvania are 8.502 μg/m³.

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

The current carbon monoxide (CO) level in Lehman Township, Pennsylvania is 0.217 ppm.

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

The current sulfur dioxide (SO₂) levels in Lehman Township, Pennsylvania are 0.237 ppb.

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

The current ozone (O₃) levels at Lehman Township, Pennsylvania is 28.567 ppm.

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

The current nitrogen dioxide (NO₂) levels at Lehman Township, Pennsylvania is 3.706 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-20T21:00:00.000Z	25 \| good	2.221 \| good	9.814 \| good	26.759 \| good	0.206 \| good	3.136 \| good	0.198 \| good
2025-10-20T22:00:00.000Z	23 \| good	1.886 \| good	6.694 \| good	24.902 \| good	0.56 \| good	4.411 \| good	0.176 \| good
2025-10-20T23:00:00.000Z	25 \| good	2.172 \| good	7.434 \| good	27.439 \| good	0.2 \| good	4.669 \| good	0.173 \| good
2025-10-21T00:00:00.000Z	20 \| good	1.871 \| good	8.743 \| good	21.663 \| good	0.186 \| good	6.018 \| good	0.217 \| good
2025-10-21T01:00:00.000Z	20 \| good	1.87 \| good	9.726 \| good	22.482 \| good	0.209 \| good	6.888 \| good	0.217 \| good
2025-10-21T02:00:00.000Z	20 \| good	2.375 \| good	10.483 \| good	22.445 \| good	0.208 \| good	7.596 \| good	0.217 \| good
2025-10-21T03:00:00.000Z	24 \| good	2.57 \| good	10.778 \| good	25.685 \| good	0.39 \| good	2.329 \| good	0.126 \| good
2025-10-21T04:00:00.000Z	20 \| good	2.751 \| good	22.018 \| good	21.82 \| good	0.222 \| good	4.469 \| good	0.214 \| good
2025-10-21T05:00:00.000Z	20 \| good	2.012 \| good	5.676 \| good	22.104 \| good	0.251 \| good	4.068 \| good	0.214 \| good
2025-10-21T06:00:00.000Z	20 \| good	2.485 \| good	12.958 \| good	21.892 \| good	0.238 \| good	3.8 \| good	0.155 \| good
2025-10-21T07:00:00.000Z	20 \| good	3.261 \| good	9.989 \| good	21.573 \| good	0.214 \| good	6.979 \| good	0.173 \| good
2025-10-21T08:00:00.000Z	17 \| good	2.886 \| good	11.03 \| good	17.982 \| good	0.229 \| good	6.436 \| good	0.176 \| good
2025-10-21T09:00:00.000Z	16 \| good	3.289 \| good	11.433 \| good	16.59 \| good	0.253 \| good	6.189 \| good	0.176 \| good
2025-10-21T10:00:00.000Z	16 \| good	3.31 \| good	12.778 \| good	16.837 \| good	0.417 \| good	8.625 \| good	0.217 \| good
2025-10-21T11:00:00.000Z	17 \| good	2.808 \| good	9.691 \| good	17.839 \| good	0.436 \| good	10.412 \| good	0.216 \| good
2025-10-21T12:00:00.000Z	22 \| good	3.576 \| good	12.957 \| good	13.396 \| good	0.374 \| good	10.776 \| good	0.294 \| good
2025-10-21T13:00:00.000Z	22 \| good	3.655 \| good	12.788 \| good	14.098 \| good	0.657 \| good	11.442 \| good	0.417 \| good
2025-10-21T14:00:00.000Z	22 \| good	4.09 \| good	17.341 \| good	13.803 \| good	0.9 \| good	11.933 \| good	0.472 \| good
2025-10-21T15:00:00.000Z	22 \| good	4.053 \| good	19.564 \| good	12.066 \| good	1.939 \| good	5.844 \| good	0.372 \| good
2025-10-21T16:00:00.000Z	17 \| good	2.646 \| good	11.692 \| good	18.004 \| good	2.185 \| good	5.152 \| good	0.335 \| good
2025-10-21T17:00:00.000Z	23 \| good	2.996 \| good	21.826 \| good	24.683 \| good	2.107 \| good	7.387 \| good	0.238 \| good
2025-10-21T18:00:00.000Z	27 \| good	3.113 \| good	14.504 \| good	28.923 \| good	0.781 \| good	5.644 \| good	0.255 \| good
2025-10-21T19:00:00.000Z	29 \| good	2.614 \| good	14.467 \| good	30.674 \| good	0.671 \| good	4.349 \| good	0.257 \| good
2025-10-21T20:00:00.000Z	33 \| good	2.868 \| good	12.1 \| good	35.605 \| good	0.323 \| good	3.807 \| good	0.257 \| good
2025-10-21T21:00:00.000Z	35 \| good	2.869 \| good	11.612 \| good	38.479 \| good	0.294 \| good	3.919 \| good	0.277 \| good
2025-10-21T22:00:00.000Z	35 \| good	2.161 \| good	7.689 \| good	38.196 \| good	0.33 \| good	5.598 \| good	0.277 \| good
2025-10-21T23:00:00.000Z	36 \| good	2.173 \| good	9.452 \| good	38.828 \| good	0.326 \| good	8.25 \| good	0.295 \| good
2025-10-22T00:00:00.000Z	32 \| good	3.701 \| good	16.935 \| good	35.321 \| good	0.341 \| good	7.592 \| good	0.314 \| good
2025-10-22T01:00:00.000Z	27 \| good	4.62 \| good	11.446 \| good	25.811 \| good	0.368 \| good	7.995 \| good	0.314 \| good
2025-10-22T02:00:00.000Z	27 \| good	5.225 \| good	21.842 \| good	28.002 \| good	0.203 \| good	8.715 \| good	0.251 \| good
2025-10-22T03:00:00.000Z	49 \| good	8.875 \| good	39.307 \| good	25.199 \| good	2.281 \| good	8.173 \| good	0.193 \| good
2025-10-22T04:00:00.000Z	33 \| good	5.709 \| good	23.993 \| good	24.754 \| good	0.309 \| good	10.428 \| good	0.252 \| good
2025-10-22T05:00:00.000Z	44 \| good	7.644 \| good	36.831 \| good	18.417 \| good	0.301 \| good	10.399 \| good	0.214 \| good
2025-10-22T06:00:00.000Z	38 \| good	6.818 \| good	33.686 \| good	17.907 \| good	0.264 \| good	14.059 \| good	0.214 \| good
2025-10-22T07:00:00.000Z	38 \| good	6.532 \| good	31.706 \| good	15.948 \| good	0.265 \| good	12.543 \| good	0.214 \| good
2025-10-22T08:00:00.000Z	38 \| good	7.253 \| good	29.59 \| good	14.533 \| good	0.302 \| good	10.31 \| good	0.124 \| good
2025-10-22T09:00:00.000Z	44 \| good	7.784 \| good	36.53 \| good	18.507 \| good	0.29 \| good	10.726 \| good	0.234 \| good
2025-10-22T10:00:00.000Z	33 \| good	5.525 \| good	23.684 \| good	18.743 \| good	0.268 \| good	9.022 \| good	0.319 \| good
2025-10-22T11:00:00.000Z	33 \| good	5.873 \| good	24.845 \| good	14.367 \| good	0.165 \| good	8.015 \| good	0.304 \| good
2025-10-22T12:00:00.000Z	38 \| good	7.04 \| good	18.372 \| good	16.997 \| good	0.195 \| good	8.562 \| good	0.339 \| good
2025-10-22T13:00:00.000Z	38 \| good	7.487 \| good	31.472 \| good	22.499 \| good	0.195 \| good	9.459 \| good	0.357 \| good
2025-10-22T14:00:00.000Z	49 \| good	8.565 \| good	32.646 \| good	26.477 \| good	0.307 \| good	4.429 \| good	0.298 \| good
2025-10-22T15:00:00.000Z	38 \| good	6.937 \| good	29.288 \| good	27.929 \| good	0.32 \| good	3.632 \| good	0.298 \| good
2025-10-22T16:00:00.000Z	27 \| good	4.673 \| good	21.565 \| good	27.764 \| good	0.432 \| good	4.384 \| good	0.214 \| good
2025-10-22T17:00:00.000Z	27 \| good	3.358 \| good	15.394 \| good	29.239 \| good	0.528 \| good	3.447 \| good	0.196 \| good
2025-10-22T18:00:00.000Z	27 \| good	3.715 \| good	17.316 \| good	28.906 \| good	0.259 \| good	3.239 \| good	0.155 \| good
2025-10-22T19:00:00.000Z	26 \| good	2.559 \| good	14.174 \| good	28.483 \| good	0.213 \| good	2.659 \| good	0.155 \| good
2025-10-22T20:00:00.000Z	27 \| good	1.765 \| good	8.502 \| good	28.567 \| good	0.237 \| good	3.706 \| good	0.217 \| good
2025-10-22T20:00:00.000Z	27 \| good	1.765 \| good	8.502 \| good	28.567 \| good	0.237 \| good	3.706 \| good	0.217 \| good
2025-10-22T21:00:00.000Z	29 \| good	0.927 \| good	3.365 \| good	30.896 \| good	1.432 \| good	1.68 \| good	0.133 \| good
2025-10-22T22:00:00.000Z	27 \| good	2.48 \| good	10.181 \| good	29.177 \| good	1.515 \| good	2.434 \| good	0.14 \| good
2025-10-22T23:00:00.000Z	26 \| good	2.293 \| good	9.495 \| good	28.199 \| good	1.597 \| good	3.188 \| good	0.146 \| good
2025-10-23T00:00:00.000Z	26 \| good	2.557 \| good	10.695 \| good	27.506 \| good	1.68 \| good	3.943 \| good	0.153 \| good
2025-10-23T01:00:00.000Z	26 \| good	4.032 \| good	17.697 \| good	28.461 \| good	1.823 \| good	3.997 \| good	0.154 \| good
2025-10-23T02:00:00.000Z	27 \| good	3.376 \| good	14.936 \| good	29.046 \| good	1.967 \| good	4.051 \| good	0.155 \| good
2025-10-23T03:00:00.000Z	26 \| good	4.283 \| good	18.803 \| good	28.261 \| good	2.11 \| good	4.105 \| good	0.156 \| good
2025-10-23T04:00:00.000Z	24 \| good	3.972 \| good	17.141 \| good	25.773 \| good	2.252 \| good	3.864 \| good	0.155 \| good
2025-10-23T05:00:00.000Z	27 \| good	5.097 \| good	22.14 \| good	23.143 \| good	2.393 \| good	3.623 \| good	0.153 \| good
2025-10-23T06:00:00.000Z	22 \| good	3.866 \| good	16.686 \| good	21.326 \| good	2.535 \| good	3.382 \| good	0.151 \| good
2025-10-23T07:00:00.000Z	22 \| good	3.766 \| good	16.488 \| good	19.593 \| good	2.575 \| good	3.243 \| good	0.15 \| good
2025-10-23T08:00:00.000Z	22 \| good	3.665 \| good	15.938 \| good	17.382 \| good	2.615 \| good	3.103 \| good	0.148 \| good
2025-10-23T09:00:00.000Z	17 \| good	3.478 \| good	15.141 \| good	17.898 \| good	2.656 \| good	2.964 \| good	0.147 \| good
2025-10-23T10:00:00.000Z	27 \| good	4.793 \| good	20.829 \| good	15.836 \| good	2.621 \| good	3.378 \| good	0.151 \| good
2025-10-23T11:00:00.000Z	22 \| good	3.924 \| good	17.137 \| good	15.48 \| good	2.586 \| good	3.791 \| good	0.154 \| good
2025-10-23T12:00:00.000Z	17 \| good	2.918 \| good	11.862 \| good	18.265 \| good	2.552 \| good	4.205 \| good	0.158 \| good
2025-10-23T13:00:00.000Z	20 \| good	1.043 \| good	4.206 \| good	21.644 \| good	2.359 \| good	3.629 \| good	0.153 \| good
2025-10-23T14:00:00.000Z	21 \| good	2.66 \| good	10.904 \| good	22.966 \| good	2.165 \| good	3.053 \| good	0.149 \| good
2025-10-23T15:00:00.000Z	23 \| good	1.861 \| good	7.686 \| good	25.249 \| good	1.972 \| good	2.478 \| good	0.144 \| good
2025-10-23T16:00:00.000Z	23 \| good	1.324 \| good	5.098 \| good	25.404 \| good	1.714 \| good	2.111 \| good	0.141 \| good
2025-10-23T17:00:00.000Z	24 \| good	1.225 \| good	4.928 \| good	25.667 \| good	1.456 \| good	1.745 \| good	0.138 \| good
2025-10-23T18:00:00.000Z	24 \| good	2.071 \| good	8.585 \| good	25.713 \| good	1.198 \| good	1.379 \| good	0.135 \| good
2025-10-23T19:00:00.000Z	23 \| good	2.041 \| good	8.141 \| good	24.982 \| good	1.094 \| good	1.458 \| good	0.135 \| good
2025-10-23T20:00:00.000Z	22 \| good	0.516 \| good	1.927 \| good	24.377 \| good	0.99 \| good	1.537 \| good	0.136 \| good
2025-10-23T21:00:00.000Z	24 \| good	0.631 \| good	2.23 \| good	25.643 \| good	0.886 \| good	1.617 \| good	0.136 \| good
2025-10-23T22:00:00.000Z	23 \| good	2.218 \| good	9.209 \| good	24.535 \| good	0.926 \| good	2.54 \| good	0.145 \| good
2025-10-23T23:00:00.000Z	26 \| good	1.257 \| good	4.87 \| good	27.726 \| good	0.966 \| good	3.463 \| good	0.154 \| good
2025-10-24T00:00:00.000Z	26 \| good	1.389 \| good	5.803 \| good	27.677 \| good	1.005 \| good	4.387 \| good	0.163 \| good
2025-10-24T01:00:00.000Z	26 \| good	2.449 \| good	9.764 \| good	27.688 \| good	0.939 \| good	4.16 \| good	0.162 \| good
2025-10-24T02:00:00.000Z	25 \| good	1.391 \| good	5.585 \| good	26.666 \| good	0.872 \| good	3.933 \| good	0.161 \| good
2025-10-24T03:00:00.000Z	25 \| good	1.954 \| good	7.971 \| good	27.098 \| good	0.806 \| good	3.706 \| good	0.159 \| good
2025-10-24T04:00:00.000Z	25 \| good	1.327 \| good	5.064 \| good	26.701 \| good	0.685 \| good	3.32 \| good	0.154 \| good
2025-10-24T05:00:00.000Z	22 \| good	2.18 \| good	8.798 \| good	23.711 \| good	0.564 \| good	2.935 \| good	0.149 \| good
2025-10-24T06:00:00.000Z	19 \| good	1.493 \| good	5.89 \| good	20.123 \| good	0.443 \| good	2.549 \| good	0.144 \| good
2025-10-24T07:00:00.000Z	17 \| good	1.963 \| good	7.798 \| good	17.81 \| good	0.413 \| good	2.424 \| good	0.142 \| good
2025-10-24T08:00:00.000Z	14 \| good	1.802 \| good	7.48 \| good	15.075 \| good	0.383 \| good	2.3 \| good	0.14 \| good
2025-10-24T09:00:00.000Z	13 \| good	0.339 \| good	1.381 \| good	13.813 \| good	0.353 \| good	2.176 \| good	0.137 \| good
2025-10-24T10:00:00.000Z	13 \| good	1.564 \| good	6.365 \| good	13.889 \| good	0.393 \| good	2.896 \| good	0.145 \| good
2025-10-24T11:00:00.000Z	14 \| good	0.918 \| good	3.764 \| good	14.58 \| good	0.434 \| good	3.617 \| good	0.153 \| good
2025-10-24T12:00:00.000Z	13 \| good	0.646 \| good	2.343 \| good	13.892 \| good	0.474 \| good	4.338 \| good	0.161 \| good
2025-10-24T13:00:00.000Z	19 \| good	0.705 \| good	2.659 \| good	20.05 \| good	0.473 \| good	3.39 \| good	0.155 \| good
2025-10-24T14:00:00.000Z	25 \| good	0.829 \| good	3.163 \| good	26.995 \| good	0.471 \| good	2.441 \| good	0.15 \| good
2025-10-24T15:00:00.000Z	28 \| good	1.115 \| good	4.697 \| good	29.849 \| good	0.47 \| good	1.492 \| good	0.144 \| good
2025-10-24T16:00:00.000Z	28 \| good	0.368 \| good	1.242 \| good	30.471 \| good	0.437 \| good	1.328 \| good	0.142 \| good
2025-10-24T17:00:00.000Z	29 \| good	0.435 \| good	1.894 \| good	31.18 \| good	0.403 \| good	1.163 \| good	0.14 \| good
2025-10-24T18:00:00.000Z	30 \| good	0.995 \| good	3.9 \| good	32.042 \| good	0.37 \| good	0.998 \| good	0.138 \| good
2025-10-24T19:00:00.000Z	30 \| good	0.564 \| good	2 \| good	31.665 \| good	0.341 \| good	1.056 \| good	0.137 \| good
2025-10-24T20:00:00.000Z	28 \| good	0.43 \| good	1.458 \| good	30.476 \| good	0.313 \| good	1.113 \| good	0.136 \| good

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

Common air pollutants in Lehman Township, Pennsylvania

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Lehman Township, Pennsylvania air quality forecast and history

Empower business decisions with accurate air quality data

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

Air quality in nearby cities

Lehman Township, Pennsylvania

Middle Smithfield, Pennsylvania

Dingman, Pennsylvania

Stroud, Pennsylvania

Sparta, New Jersey

Hamilton Township, 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 Lehman Township, Pennsylvania updated?

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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