What is the sulfur dioxide (SO2) level in Mount Lebanon, Pennsylvania at the moment?

Currently, Mount Lebanon, Pennsylvania has a sulfur dioxide (SO2) concentration of 1.356 ppb.

What is the ozone (O3) level in Mount Lebanon, Pennsylvania at the moment?

The current ozone (O3) level in Mount Lebanon, Pennsylvania at the moment is 7.094 ppm.

What is the nitrogen dioxide (NO2) level in Mount Lebanon, Pennsylvania at the moment?

Nitrogen dioxide (NO2) level in Mount Lebanon, Pennsylvania at the moment is 7.341 ppb.

Live air quality index in Mount Lebanon, Pennsylvania today

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

Stay updated with real-time air quality in Mount Lebanon, 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

Mount Lebanon, Pennsylvania

Last updated: ... (Local time)

Major air pollutants in Mount Lebanon, Pennsylvania

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

5.70 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

25.33 μg/m³

155

255

425

605+

Ozone (O₃)

7.09 ppb

201

201+

Sulfur Dioxide (SO₂)

1.36 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

7.34 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.18 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Mount Lebanon, Pennsylvania

Get Live Pollen Counts

Mount Lebanon, Pennsylvania

Scroll To Air Quality Map

Track live Mount Lebanon, Pennsylvania air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T12:00:00.000Z	52 \| moderate	10.012 \| good	44.56 \| good	22.902 \| good	2.435 \| good	5.772 \| good	0.247 \| good
2025-10-19T13:00:00.000Z	52 \| moderate	10.037 \| good	45.059 \| good	27.346 \| good	1.878 \| good	5.769 \| good	0.21 \| good
2025-10-19T14:00:00.000Z	52 \| moderate	10.075 \| good	45.086 \| good	31.394 \| good	2.062 \| good	4.699 \| good	0.206 \| good
2025-10-19T15:00:00.000Z	52 \| moderate	10.26 \| good	45.489 \| good	33.485 \| good	2.372 \| good	4.974 \| good	0.22 \| good
2025-10-19T16:00:00.000Z	52 \| moderate	10.428 \| good	46.465 \| good	35.106 \| good	1.639 \| good	4.854 \| good	0.198 \| good
2025-10-19T17:00:00.000Z	52 \| moderate	10.489 \| good	47.069 \| good	41.394 \| good	2.771 \| good	3.791 \| good	0.2 \| good
2025-10-19T18:00:00.000Z	52 \| moderate	9.708 \| good	42.875 \| good	39.713 \| good	2.785 \| good	2.313 \| good	0.327 \| good
2025-10-19T19:00:00.000Z	44 \| good	8.307 \| good	36.744 \| good	40.015 \| good	1.39 \| good	2.607 \| good	0.156 \| good
2025-10-19T20:00:00.000Z	44 \| good	8.307 \| good	36.744 \| good	39.711 \| good	2.057 \| good	2.688 \| good	0.156 \| good
2025-10-19T21:00:00.000Z	38 \| good	6.906 \| good	30.914 \| good	40.187 \| good	1.305 \| good	2.659 \| good	0.148 \| good
2025-10-19T22:00:00.000Z	35 \| good	5.13 \| good	22.385 \| good	38.377 \| good	1.49 \| good	2.724 \| good	0.147 \| good
2025-10-19T23:00:00.000Z	32 \| good	3.942 \| good	17.283 \| good	34.829 \| good	1.523 \| good	2.574 \| good	0.145 \| good
2025-10-20T00:00:00.000Z	32 \| good	3.214 \| good	13.654 \| good	34.821 \| good	1.703 \| good	2.608 \| good	0.145 \| good
2025-10-20T01:00:00.000Z	31 \| good	2.514 \| good	10.656 \| good	34.39 \| good	3.116 \| good	2.139 \| good	0.125 \| good
2025-10-20T02:00:00.000Z	28 \| good	2.389 \| good	10.133 \| good	29.945 \| good	1.544 \| good	2.082 \| good	0.13 \| good
2025-10-20T03:00:00.000Z	24 \| good	2.097 \| good	8.982 \| good	26.284 \| good	3.131 \| good	1.786 \| good	0.123 \| good
2025-10-20T04:00:00.000Z	25 \| good	1.719 \| good	7.331 \| good	26.998 \| good	5.127 \| good	1.806 \| good	0.123 \| good
2025-10-20T05:00:00.000Z	24 \| good	1.483 \| good	6.153 \| good	26.297 \| good	5.166 \| good	1.691 \| good	0.108 \| good
2025-10-20T06:00:00.000Z	23 \| good	1.118 \| good	4.654 \| good	25.084 \| good	2.269 \| good	2.002 \| good	0.107 \| good
2025-10-20T07:00:00.000Z	22 \| good	0.905 \| good	3.927 \| good	23.845 \| good	1.895 \| good	1.661 \| good	0.105 \| good
2025-10-20T08:00:00.000Z	22 \| good	0.99 \| good	4.001 \| good	24.041 \| good	0.891 \| good	1.389 \| good	0.105 \| good
2025-10-20T09:00:00.000Z	22 \| good	1.67 \| good	6.901 \| good	24.288 \| good	1.008 \| good	1.742 \| good	0.105 \| good
2025-10-20T10:00:00.000Z	23 \| good	2.42 \| good	9.899 \| good	24.798 \| good	1.714 \| good	2.487 \| good	0.14 \| good
2025-10-20T11:00:00.000Z	24 \| good	3.123 \| good	13.799 \| good	25.569 \| good	1.598 \| good	2.849 \| good	0.13 \| good
2025-10-20T12:00:00.000Z	22 \| good	3.783 \| good	16.5 \| good	22.18 \| good	0.967 \| good	4.795 \| good	0.163 \| good
2025-10-20T13:00:00.000Z	22 \| good	3.91 \| good	17.352 \| good	22.064 \| good	0.805 \| good	6.513 \| good	0.18 \| good
2025-10-20T14:00:00.000Z	22 \| good	4.013 \| good	17.751 \| good	20.576 \| good	1.06 \| good	6.414 \| good	0.174 \| good
2025-10-20T15:00:00.000Z	22 \| good	3.968 \| good	17.577 \| good	19.898 \| good	1.794 \| good	5.549 \| good	0.159 \| good
2025-10-20T16:00:00.000Z	22 \| good	3.608 \| good	15.777 \| good	19.235 \| good	1.399 \| good	4.744 \| good	0.154 \| good
2025-10-20T17:00:00.000Z	22 \| good	3.513 \| good	15.352 \| good	20.494 \| good	1.324 \| good	3.946 \| good	0.15 \| good
2025-10-20T18:00:00.000Z	23 \| good	3.23 \| good	14.177 \| good	24.747 \| good	1.57 \| good	3.411 \| good	0.133 \| good
2025-10-20T19:00:00.000Z	24 \| good	3.028 \| good	12.851 \| good	25.936 \| good	2.416 \| good	2.881 \| good	0.13 \| good
2025-10-20T20:00:00.000Z	27 \| good	2.998 \| good	12.851 \| good	28.794 \| good	1.685 \| good	2.708 \| good	0.143 \| good
2025-10-20T21:00:00.000Z	27 \| good	2.988 \| good	12.851 \| good	29.074 \| good	1.01 \| good	2.34 \| good	0.147 \| good
2025-10-20T22:00:00.000Z	28 \| good	2.908 \| good	12.552 \| good	30.188 \| good	0.905 \| good	2.744 \| good	0.15 \| good
2025-10-20T23:00:00.000Z	27 \| good	2.803 \| good	11.352 \| good	29.073 \| good	0.884 \| good	3.207 \| good	0.147 \| good
2025-10-21T00:00:00.000Z	25 \| good	2.83 \| good	11.526 \| good	27.499 \| good	0.781 \| good	4.857 \| good	0.163 \| good
2025-10-21T01:00:00.000Z	22 \| good	3.058 \| good	13.602 \| good	24.101 \| good	1.408 \| good	9.551 \| good	0.189 \| good
2025-10-21T02:00:00.000Z	27 \| good	5.119 \| good	22.769 \| good	20.687 \| good	1.296 \| good	13.109 \| good	0.289 \| good
2025-10-21T03:00:00.000Z	52 \| moderate	9.537 \| good	42.597 \| good	14.373 \| good	2.117 \| good	13.87 \| good	0.24 \| good
2025-10-21T04:00:00.000Z	38 \| good	6.764 \| good	29.543 \| good	13.532 \| good	1.372 \| good	17.35 \| good	0.151 \| good
2025-10-21T05:00:00.000Z	38 \| good	6.764 \| good	29.543 \| good	14.227 \| good	1.445 \| good	14.32 \| good	0.156 \| good
2025-10-21T06:00:00.000Z	33 \| good	6.367 \| good	27.798 \| good	11.6 \| good	1.442 \| good	13.856 \| good	0.185 \| good
2025-10-21T07:00:00.000Z	33 \| good	5.903 \| good	25.675 \| good	11.458 \| good	1.452 \| good	12.217 \| good	0.173 \| good
2025-10-21T08:00:00.000Z	33 \| good	6.171 \| good	27.747 \| good	8.945 \| good	1.397 \| good	8.193 \| good	0.154 \| good
2025-10-21T09:00:00.000Z	33 \| good	6.171 \| good	27.747 \| good	8.969 \| good	1.392 \| good	6.596 \| good	0.209 \| good
2025-10-21T10:00:00.000Z	33 \| good	5.985 \| good	26.126 \| good	7.485 \| good	1.355 \| good	7.561 \| good	0.188 \| good
2025-10-21T11:00:00.000Z	33 \| good	5.701 \| good	25.328 \| good	7.094 \| good	1.356 \| good	7.341 \| good	0.179 \| good
2025-10-21T11:00:00.000Z	33 \| good	5.701 \| good	25.328 \| good	7.094 \| good	1.356 \| good	7.341 \| good	0.179 \| good
2025-10-21T07:00:00.000Z	27 \| good	5.224 \| good	22.434 \| good	14.062 \| good	2.566 \| good	6.942 \| good	0.188 \| good
2025-10-21T08:00:00.000Z	27 \| good	4.816 \| good	20.973 \| good	14.4 \| good	2.867 \| good	5.592 \| good	0.174 \| good
2025-10-21T09:00:00.000Z	22 \| good	4.054 \| good	17.722 \| good	16.559 \| good	3.168 \| good	4.242 \| good	0.16 \| good
2025-10-21T10:00:00.000Z	22 \| good	4.431 \| good	19.294 \| good	15.275 \| good	2.74 \| good	4.205 \| good	0.158 \| good
2025-10-21T11:00:00.000Z	22 \| good	4.077 \| good	17.939 \| good	16.47 \| good	2.312 \| good	4.168 \| good	0.155 \| good
2025-10-21T12:00:00.000Z	22 \| good	3.551 \| good	15.817 \| good	19.705 \| good	1.885 \| good	4.131 \| good	0.153 \| good
2025-10-21T13:00:00.000Z	27 \| good	5.018 \| good	21.688 \| good	24.353 \| good	2.179 \| good	4.118 \| good	0.155 \| good
2025-10-21T14:00:00.000Z	33 \| good	5.583 \| good	24.305 \| good	25.604 \| good	2.473 \| good	4.105 \| good	0.157 \| good
2025-10-21T15:00:00.000Z	27 \| good	4.983 \| good	21.58 \| good	26.221 \| good	2.767 \| good	4.091 \| good	0.159 \| good
2025-10-21T16:00:00.000Z	33 \| good	5.681 \| good	24.65 \| good	28.551 \| good	3.202 \| good	3.617 \| good	0.157 \| good
2025-10-21T17:00:00.000Z	38 \| good	6.737 \| good	29.961 \| good	34.422 \| good	3.638 \| good	3.142 \| good	0.156 \| good
2025-10-21T18:00:00.000Z	40 \| good	7.047 \| good	30.967 \| good	42.53 \| good	4.073 \| good	2.667 \| good	0.155 \| good
2025-10-21T19:00:00.000Z	42 \| good	7.038 \| good	31.14 \| good	45.059 \| good	3.834 \| good	2.596 \| good	0.151 \| good
2025-10-21T20:00:00.000Z	40 \| good	6.79 \| good	30.067 \| good	42.93 \| good	3.594 \| good	2.526 \| good	0.148 \| good
2025-10-21T21:00:00.000Z	39 \| good	7.214 \| good	32.034 \| good	41.989 \| good	3.354 \| good	2.455 \| good	0.145 \| good
2025-10-21T22:00:00.000Z	38 \| good	6.579 \| good	29.581 \| good	38.365 \| good	3.064 \| good	5.053 \| good	0.164 \| good
2025-10-21T23:00:00.000Z	34 \| good	5.317 \| good	22.994 \| good	36.632 \| good	2.773 \| good	7.652 \| good	0.183 \| good
2025-10-22T00:00:00.000Z	33 \| good	5.64 \| good	24.964 \| good	34.444 \| good	2.482 \| good	10.25 \| good	0.203 \| good
2025-10-22T01:00:00.000Z	33 \| good	5.731 \| good	25.082 \| good	29.775 \| good	2.391 \| good	9.166 \| good	0.193 \| good
2025-10-22T02:00:00.000Z	27 \| good	4.567 \| good	19.746 \| good	28.713 \| good	2.3 \| good	8.083 \| good	0.182 \| good
2025-10-22T03:00:00.000Z	29 \| good	4.229 \| good	18.622 \| good	31.167 \| good	2.209 \| good	7 \| good	0.172 \| good
2025-10-22T04:00:00.000Z	29 \| good	3.529 \| good	15.513 \| good	30.851 \| good	2.271 \| good	5.929 \| good	0.16 \| good
2025-10-22T05:00:00.000Z	25 \| good	3.65 \| good	15.885 \| good	27.209 \| good	2.332 \| good	4.858 \| good	0.148 \| good
2025-10-22T06:00:00.000Z	26 \| good	2.763 \| good	11.295 \| good	27.91 \| good	2.394 \| good	3.787 \| good	0.136 \| good
2025-10-22T07:00:00.000Z	30 \| good	2.173 \| good	8.881 \| good	31.876 \| good	2.272 \| good	3.431 \| good	0.133 \| good
2025-10-22T08:00:00.000Z	30 \| good	2.966 \| good	12.253 \| good	32.144 \| good	2.15 \| good	3.075 \| good	0.129 \| good
2025-10-22T09:00:00.000Z	28 \| good	1.959 \| good	7.961 \| good	30.28 \| good	2.028 \| good	2.719 \| good	0.126 \| good
2025-10-22T10:00:00.000Z	23 \| good	1.404 \| good	5.521 \| good	24.566 \| good	1.96 \| good	3.109 \| good	0.129 \| good
2025-10-22T11:00:00.000Z	20 \| good	1.937 \| good	7.842 \| good	22.273 \| good	1.893 \| good	3.5 \| good	0.133 \| good
2025-10-22T12:00:00.000Z	23 \| good	1.537 \| good	6.279 \| good	24.616 \| good	1.826 \| good	3.89 \| good	0.137 \| good
2025-10-22T13:00:00.000Z	27 \| good	2.118 \| good	8.884 \| good	28.919 \| good	1.781 \| good	3.465 \| good	0.136 \| good
2025-10-22T14:00:00.000Z	27 \| good	3.112 \| good	13.566 \| good	29.471 \| good	1.736 \| good	3.041 \| good	0.135 \| good
2025-10-22T15:00:00.000Z	26 \| good	3.339 \| good	14.57 \| good	28.405 \| good	1.692 \| good	2.616 \| good	0.133 \| good
2025-10-22T16:00:00.000Z	23 \| good	2.871 \| good	11.755 \| good	25.106 \| good	1.583 \| good	2.451 \| good	0.132 \| good
2025-10-22T17:00:00.000Z	23 \| good	3.285 \| good	14.417 \| good	24.853 \| good	1.475 \| good	2.285 \| good	0.131 \| good
2025-10-22T18:00:00.000Z	24 \| good	3.367 \| good	14.961 \| good	25.738 \| good	1.367 \| good	2.12 \| good	0.13 \| good
2025-10-22T19:00:00.000Z	27 \| good	3.576 \| good	15.892 \| good	29.331 \| good	1.409 \| good	2.487 \| good	0.132 \| good
2025-10-22T20:00:00.000Z	29 \| good	3.461 \| good	15.233 \| good	30.833 \| good	1.452 \| good	2.853 \| good	0.135 \| good
2025-10-22T21:00:00.000Z	28 \| good	4.397 \| good	19.26 \| good	30.229 \| good	1.494 \| good	3.219 \| good	0.138 \| good
2025-10-22T22:00:00.000Z	26 \| good	4.42 \| good	19.462 \| good	28.051 \| good	1.661 \| good	3.743 \| good	0.143 \| good
2025-10-22T23:00:00.000Z	27 \| good	4.558 \| good	19.703 \| good	27.111 \| good	1.828 \| good	4.266 \| good	0.147 \| good
2025-10-23T00:00:00.000Z	27 \| good	4.813 \| good	20.699 \| good	25.572 \| good	1.994 \| good	4.789 \| good	0.151 \| good
2025-10-23T01:00:00.000Z	27 \| good	5.165 \| good	22.507 \| good	22.96 \| good	1.922 \| good	4.488 \| good	0.149 \| good
2025-10-23T02:00:00.000Z	27 \| good	5.465 \| good	23.523 \| good	21.401 \| good	1.85 \| good	4.187 \| good	0.148 \| good
2025-10-23T03:00:00.000Z	27 \| good	4.805 \| good	20.74 \| good	26.013 \| good	1.777 \| good	3.886 \| good	0.146 \| good
2025-10-23T04:00:00.000Z	26 \| good	4.372 \| good	19.168 \| good	27.793 \| good	1.681 \| good	3.635 \| good	0.144 \| good
2025-10-23T05:00:00.000Z	25 \| good	4.238 \| good	18.58 \| good	26.81 \| good	1.585 \| good	3.383 \| good	0.143 \| good
2025-10-23T06:00:00.000Z	24 \| good	3.542 \| good	3.544 \| good	25.588 \| good	1.498 \| good	3.158 \| good	0.141 \| good

Mount Lebanon

Get reliable air quality data to drive your business

Mount Lebanon, Pennsylvania air quality map: Stay updated on AQI near you

0.21ppm

How accurate is Pennsylvania, USA air quality data?

Air quality and pollutant data for Pennsylvania, USA are sourced from ground-based monitors and satellites, adhering to US EPA standards. Machine learning and advanced algorithms enhance the data by incorporating local variables like traffic and population density, ensuring high accuracy and dependability.

Source: Ambee Data Sources

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Frequently asked questions

How often is air quality information updated for Mount Lebanon, Pennsylvania?

The air quality information for Mount Lebanon, Pennsylvania is updated every hour for accuracy.

What time in the last 24 hours was the air quality in Mount Lebanon, Pennsylvania at its worst?

In the past 24 hours, the air quality in Mount Lebanon, Pennsylvania was at its worst at 03:00:00 on 2025-10-21.

When did Mount Lebanon, Pennsylvania experience the best air quality in the last 24 hours?

In the last 24 hours, the best air quality in Mount Lebanon, Pennsylvania was observed at 01:00:00 on 2025-10-21.

What is the AQI in Mount Lebanon, Pennsylvania right now?

As of now, the AQI in Mount Lebanon, Pennsylvania is 33, indicating Good conditions.

What is the most common type of pollution in Mount Lebanon, Pennsylvania?

Mount Lebanon, Pennsylvania air has the highest levels of PM2.5.

What should I do in case of poor air quality in Mount Lebanon, Pennsylvania?

Poor air quality in Mount Lebanon, Pennsylvania means it's advisable to stay indoors and wear a mask for your protection.

What is the PM_2.5 level in Mount Lebanon, Pennsylvania at the moment?

PM_2.5 levels in Mount Lebanon, Pennsylvania are currently 5.701 μg/m³.

What is the PM₁₀ level in Mount Lebanon, Pennsylvania at the moment?

The PM₁₀ concentration in Mount Lebanon, Pennsylvania is 25.328 μg/m³ at the moment.

What is the carbon monoxide (CO) level in Mount Lebanon, Pennsylvania at the moment?

The current carbon monoxide (CO) concentration in Mount Lebanon, Pennsylvania is 0.179 ppm.

What is the sulfur dioxide (SO₂) level in Mount Lebanon, Pennsylvania at the moment?

Currently, Mount Lebanon, Pennsylvania has a sulfur dioxide (SO₂) concentration of 1.356 ppb.

What is the ozone (O₃) level in Mount Lebanon, Pennsylvania at the moment?

The current ozone (O₃) level in Mount Lebanon, Pennsylvania at the moment is 7.094 ppm.

What is the nitrogen dioxide (NO₂) level in Mount Lebanon, Pennsylvania at the moment?

Nitrogen dioxide (NO₂) level in Mount Lebanon, Pennsylvania at the moment is 7.341 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T12:00:00.000Z	52 \| moderate	10.012 \| good	44.56 \| good	22.902 \| good	2.435 \| good	5.772 \| good	0.247 \| good
2025-10-19T13:00:00.000Z	52 \| moderate	10.037 \| good	45.059 \| good	27.346 \| good	1.878 \| good	5.769 \| good	0.21 \| good
2025-10-19T14:00:00.000Z	52 \| moderate	10.075 \| good	45.086 \| good	31.394 \| good	2.062 \| good	4.699 \| good	0.206 \| good
2025-10-19T15:00:00.000Z	52 \| moderate	10.26 \| good	45.489 \| good	33.485 \| good	2.372 \| good	4.974 \| good	0.22 \| good
2025-10-19T16:00:00.000Z	52 \| moderate	10.428 \| good	46.465 \| good	35.106 \| good	1.639 \| good	4.854 \| good	0.198 \| good
2025-10-19T17:00:00.000Z	52 \| moderate	10.489 \| good	47.069 \| good	41.394 \| good	2.771 \| good	3.791 \| good	0.2 \| good
2025-10-19T18:00:00.000Z	52 \| moderate	9.708 \| good	42.875 \| good	39.713 \| good	2.785 \| good	2.313 \| good	0.327 \| good
2025-10-19T19:00:00.000Z	44 \| good	8.307 \| good	36.744 \| good	40.015 \| good	1.39 \| good	2.607 \| good	0.156 \| good
2025-10-19T20:00:00.000Z	44 \| good	8.307 \| good	36.744 \| good	39.711 \| good	2.057 \| good	2.688 \| good	0.156 \| good
2025-10-19T21:00:00.000Z	38 \| good	6.906 \| good	30.914 \| good	40.187 \| good	1.305 \| good	2.659 \| good	0.148 \| good
2025-10-19T22:00:00.000Z	35 \| good	5.13 \| good	22.385 \| good	38.377 \| good	1.49 \| good	2.724 \| good	0.147 \| good
2025-10-19T23:00:00.000Z	32 \| good	3.942 \| good	17.283 \| good	34.829 \| good	1.523 \| good	2.574 \| good	0.145 \| good
2025-10-20T00:00:00.000Z	32 \| good	3.214 \| good	13.654 \| good	34.821 \| good	1.703 \| good	2.608 \| good	0.145 \| good
2025-10-20T01:00:00.000Z	31 \| good	2.514 \| good	10.656 \| good	34.39 \| good	3.116 \| good	2.139 \| good	0.125 \| good
2025-10-20T02:00:00.000Z	28 \| good	2.389 \| good	10.133 \| good	29.945 \| good	1.544 \| good	2.082 \| good	0.13 \| good
2025-10-20T03:00:00.000Z	24 \| good	2.097 \| good	8.982 \| good	26.284 \| good	3.131 \| good	1.786 \| good	0.123 \| good
2025-10-20T04:00:00.000Z	25 \| good	1.719 \| good	7.331 \| good	26.998 \| good	5.127 \| good	1.806 \| good	0.123 \| good
2025-10-20T05:00:00.000Z	24 \| good	1.483 \| good	6.153 \| good	26.297 \| good	5.166 \| good	1.691 \| good	0.108 \| good
2025-10-20T06:00:00.000Z	23 \| good	1.118 \| good	4.654 \| good	25.084 \| good	2.269 \| good	2.002 \| good	0.107 \| good
2025-10-20T07:00:00.000Z	22 \| good	0.905 \| good	3.927 \| good	23.845 \| good	1.895 \| good	1.661 \| good	0.105 \| good
2025-10-20T08:00:00.000Z	22 \| good	0.99 \| good	4.001 \| good	24.041 \| good	0.891 \| good	1.389 \| good	0.105 \| good
2025-10-20T09:00:00.000Z	22 \| good	1.67 \| good	6.901 \| good	24.288 \| good	1.008 \| good	1.742 \| good	0.105 \| good
2025-10-20T10:00:00.000Z	23 \| good	2.42 \| good	9.899 \| good	24.798 \| good	1.714 \| good	2.487 \| good	0.14 \| good
2025-10-20T11:00:00.000Z	24 \| good	3.123 \| good	13.799 \| good	25.569 \| good	1.598 \| good	2.849 \| good	0.13 \| good
2025-10-20T12:00:00.000Z	22 \| good	3.783 \| good	16.5 \| good	22.18 \| good	0.967 \| good	4.795 \| good	0.163 \| good
2025-10-20T13:00:00.000Z	22 \| good	3.91 \| good	17.352 \| good	22.064 \| good	0.805 \| good	6.513 \| good	0.18 \| good
2025-10-20T14:00:00.000Z	22 \| good	4.013 \| good	17.751 \| good	20.576 \| good	1.06 \| good	6.414 \| good	0.174 \| good
2025-10-20T15:00:00.000Z	22 \| good	3.968 \| good	17.577 \| good	19.898 \| good	1.794 \| good	5.549 \| good	0.159 \| good
2025-10-20T16:00:00.000Z	22 \| good	3.608 \| good	15.777 \| good	19.235 \| good	1.399 \| good	4.744 \| good	0.154 \| good
2025-10-20T17:00:00.000Z	22 \| good	3.513 \| good	15.352 \| good	20.494 \| good	1.324 \| good	3.946 \| good	0.15 \| good
2025-10-20T18:00:00.000Z	23 \| good	3.23 \| good	14.177 \| good	24.747 \| good	1.57 \| good	3.411 \| good	0.133 \| good
2025-10-20T19:00:00.000Z	24 \| good	3.028 \| good	12.851 \| good	25.936 \| good	2.416 \| good	2.881 \| good	0.13 \| good
2025-10-20T20:00:00.000Z	27 \| good	2.998 \| good	12.851 \| good	28.794 \| good	1.685 \| good	2.708 \| good	0.143 \| good
2025-10-20T21:00:00.000Z	27 \| good	2.988 \| good	12.851 \| good	29.074 \| good	1.01 \| good	2.34 \| good	0.147 \| good
2025-10-20T22:00:00.000Z	28 \| good	2.908 \| good	12.552 \| good	30.188 \| good	0.905 \| good	2.744 \| good	0.15 \| good
2025-10-20T23:00:00.000Z	27 \| good	2.803 \| good	11.352 \| good	29.073 \| good	0.884 \| good	3.207 \| good	0.147 \| good
2025-10-21T00:00:00.000Z	25 \| good	2.83 \| good	11.526 \| good	27.499 \| good	0.781 \| good	4.857 \| good	0.163 \| good
2025-10-21T01:00:00.000Z	22 \| good	3.058 \| good	13.602 \| good	24.101 \| good	1.408 \| good	9.551 \| good	0.189 \| good
2025-10-21T02:00:00.000Z	27 \| good	5.119 \| good	22.769 \| good	20.687 \| good	1.296 \| good	13.109 \| good	0.289 \| good
2025-10-21T03:00:00.000Z	52 \| moderate	9.537 \| good	42.597 \| good	14.373 \| good	2.117 \| good	13.87 \| good	0.24 \| good
2025-10-21T04:00:00.000Z	38 \| good	6.764 \| good	29.543 \| good	13.532 \| good	1.372 \| good	17.35 \| good	0.151 \| good
2025-10-21T05:00:00.000Z	38 \| good	6.764 \| good	29.543 \| good	14.227 \| good	1.445 \| good	14.32 \| good	0.156 \| good
2025-10-21T06:00:00.000Z	33 \| good	6.367 \| good	27.798 \| good	11.6 \| good	1.442 \| good	13.856 \| good	0.185 \| good
2025-10-21T07:00:00.000Z	33 \| good	5.903 \| good	25.675 \| good	11.458 \| good	1.452 \| good	12.217 \| good	0.173 \| good
2025-10-21T08:00:00.000Z	33 \| good	6.171 \| good	27.747 \| good	8.945 \| good	1.397 \| good	8.193 \| good	0.154 \| good
2025-10-21T09:00:00.000Z	33 \| good	6.171 \| good	27.747 \| good	8.969 \| good	1.392 \| good	6.596 \| good	0.209 \| good
2025-10-21T10:00:00.000Z	33 \| good	5.985 \| good	26.126 \| good	7.485 \| good	1.355 \| good	7.561 \| good	0.188 \| good
2025-10-21T11:00:00.000Z	33 \| good	5.701 \| good	25.328 \| good	7.094 \| good	1.356 \| good	7.341 \| good	0.179 \| good
2025-10-21T11:00:00.000Z	33 \| good	5.701 \| good	25.328 \| good	7.094 \| good	1.356 \| good	7.341 \| good	0.179 \| good
2025-10-21T07:00:00.000Z	27 \| good	5.224 \| good	22.434 \| good	14.062 \| good	2.566 \| good	6.942 \| good	0.188 \| good
2025-10-21T08:00:00.000Z	27 \| good	4.816 \| good	20.973 \| good	14.4 \| good	2.867 \| good	5.592 \| good	0.174 \| good
2025-10-21T09:00:00.000Z	22 \| good	4.054 \| good	17.722 \| good	16.559 \| good	3.168 \| good	4.242 \| good	0.16 \| good
2025-10-21T10:00:00.000Z	22 \| good	4.431 \| good	19.294 \| good	15.275 \| good	2.74 \| good	4.205 \| good	0.158 \| good
2025-10-21T11:00:00.000Z	22 \| good	4.077 \| good	17.939 \| good	16.47 \| good	2.312 \| good	4.168 \| good	0.155 \| good
2025-10-21T12:00:00.000Z	22 \| good	3.551 \| good	15.817 \| good	19.705 \| good	1.885 \| good	4.131 \| good	0.153 \| good
2025-10-21T13:00:00.000Z	27 \| good	5.018 \| good	21.688 \| good	24.353 \| good	2.179 \| good	4.118 \| good	0.155 \| good
2025-10-21T14:00:00.000Z	33 \| good	5.583 \| good	24.305 \| good	25.604 \| good	2.473 \| good	4.105 \| good	0.157 \| good
2025-10-21T15:00:00.000Z	27 \| good	4.983 \| good	21.58 \| good	26.221 \| good	2.767 \| good	4.091 \| good	0.159 \| good
2025-10-21T16:00:00.000Z	33 \| good	5.681 \| good	24.65 \| good	28.551 \| good	3.202 \| good	3.617 \| good	0.157 \| good
2025-10-21T17:00:00.000Z	38 \| good	6.737 \| good	29.961 \| good	34.422 \| good	3.638 \| good	3.142 \| good	0.156 \| good
2025-10-21T18:00:00.000Z	40 \| good	7.047 \| good	30.967 \| good	42.53 \| good	4.073 \| good	2.667 \| good	0.155 \| good
2025-10-21T19:00:00.000Z	42 \| good	7.038 \| good	31.14 \| good	45.059 \| good	3.834 \| good	2.596 \| good	0.151 \| good
2025-10-21T20:00:00.000Z	40 \| good	6.79 \| good	30.067 \| good	42.93 \| good	3.594 \| good	2.526 \| good	0.148 \| good
2025-10-21T21:00:00.000Z	39 \| good	7.214 \| good	32.034 \| good	41.989 \| good	3.354 \| good	2.455 \| good	0.145 \| good
2025-10-21T22:00:00.000Z	38 \| good	6.579 \| good	29.581 \| good	38.365 \| good	3.064 \| good	5.053 \| good	0.164 \| good
2025-10-21T23:00:00.000Z	34 \| good	5.317 \| good	22.994 \| good	36.632 \| good	2.773 \| good	7.652 \| good	0.183 \| good
2025-10-22T00:00:00.000Z	33 \| good	5.64 \| good	24.964 \| good	34.444 \| good	2.482 \| good	10.25 \| good	0.203 \| good
2025-10-22T01:00:00.000Z	33 \| good	5.731 \| good	25.082 \| good	29.775 \| good	2.391 \| good	9.166 \| good	0.193 \| good
2025-10-22T02:00:00.000Z	27 \| good	4.567 \| good	19.746 \| good	28.713 \| good	2.3 \| good	8.083 \| good	0.182 \| good
2025-10-22T03:00:00.000Z	29 \| good	4.229 \| good	18.622 \| good	31.167 \| good	2.209 \| good	7 \| good	0.172 \| good
2025-10-22T04:00:00.000Z	29 \| good	3.529 \| good	15.513 \| good	30.851 \| good	2.271 \| good	5.929 \| good	0.16 \| good
2025-10-22T05:00:00.000Z	25 \| good	3.65 \| good	15.885 \| good	27.209 \| good	2.332 \| good	4.858 \| good	0.148 \| good
2025-10-22T06:00:00.000Z	26 \| good	2.763 \| good	11.295 \| good	27.91 \| good	2.394 \| good	3.787 \| good	0.136 \| good
2025-10-22T07:00:00.000Z	30 \| good	2.173 \| good	8.881 \| good	31.876 \| good	2.272 \| good	3.431 \| good	0.133 \| good
2025-10-22T08:00:00.000Z	30 \| good	2.966 \| good	12.253 \| good	32.144 \| good	2.15 \| good	3.075 \| good	0.129 \| good
2025-10-22T09:00:00.000Z	28 \| good	1.959 \| good	7.961 \| good	30.28 \| good	2.028 \| good	2.719 \| good	0.126 \| good
2025-10-22T10:00:00.000Z	23 \| good	1.404 \| good	5.521 \| good	24.566 \| good	1.96 \| good	3.109 \| good	0.129 \| good
2025-10-22T11:00:00.000Z	20 \| good	1.937 \| good	7.842 \| good	22.273 \| good	1.893 \| good	3.5 \| good	0.133 \| good
2025-10-22T12:00:00.000Z	23 \| good	1.537 \| good	6.279 \| good	24.616 \| good	1.826 \| good	3.89 \| good	0.137 \| good
2025-10-22T13:00:00.000Z	27 \| good	2.118 \| good	8.884 \| good	28.919 \| good	1.781 \| good	3.465 \| good	0.136 \| good
2025-10-22T14:00:00.000Z	27 \| good	3.112 \| good	13.566 \| good	29.471 \| good	1.736 \| good	3.041 \| good	0.135 \| good
2025-10-22T15:00:00.000Z	26 \| good	3.339 \| good	14.57 \| good	28.405 \| good	1.692 \| good	2.616 \| good	0.133 \| good
2025-10-22T16:00:00.000Z	23 \| good	2.871 \| good	11.755 \| good	25.106 \| good	1.583 \| good	2.451 \| good	0.132 \| good
2025-10-22T17:00:00.000Z	23 \| good	3.285 \| good	14.417 \| good	24.853 \| good	1.475 \| good	2.285 \| good	0.131 \| good
2025-10-22T18:00:00.000Z	24 \| good	3.367 \| good	14.961 \| good	25.738 \| good	1.367 \| good	2.12 \| good	0.13 \| good
2025-10-22T19:00:00.000Z	27 \| good	3.576 \| good	15.892 \| good	29.331 \| good	1.409 \| good	2.487 \| good	0.132 \| good
2025-10-22T20:00:00.000Z	29 \| good	3.461 \| good	15.233 \| good	30.833 \| good	1.452 \| good	2.853 \| good	0.135 \| good
2025-10-22T21:00:00.000Z	28 \| good	4.397 \| good	19.26 \| good	30.229 \| good	1.494 \| good	3.219 \| good	0.138 \| good
2025-10-22T22:00:00.000Z	26 \| good	4.42 \| good	19.462 \| good	28.051 \| good	1.661 \| good	3.743 \| good	0.143 \| good
2025-10-22T23:00:00.000Z	27 \| good	4.558 \| good	19.703 \| good	27.111 \| good	1.828 \| good	4.266 \| good	0.147 \| good
2025-10-23T00:00:00.000Z	27 \| good	4.813 \| good	20.699 \| good	25.572 \| good	1.994 \| good	4.789 \| good	0.151 \| good
2025-10-23T01:00:00.000Z	27 \| good	5.165 \| good	22.507 \| good	22.96 \| good	1.922 \| good	4.488 \| good	0.149 \| good
2025-10-23T02:00:00.000Z	27 \| good	5.465 \| good	23.523 \| good	21.401 \| good	1.85 \| good	4.187 \| good	0.148 \| good
2025-10-23T03:00:00.000Z	27 \| good	4.805 \| good	20.74 \| good	26.013 \| good	1.777 \| good	3.886 \| good	0.146 \| good
2025-10-23T04:00:00.000Z	26 \| good	4.372 \| good	19.168 \| good	27.793 \| good	1.681 \| good	3.635 \| good	0.144 \| good
2025-10-23T05:00:00.000Z	25 \| good	4.238 \| good	18.58 \| good	26.81 \| good	1.585 \| good	3.383 \| good	0.143 \| good
2025-10-23T06:00:00.000Z	24 \| good	3.542 \| good	3.544 \| good	25.588 \| good	1.498 \| good	3.158 \| good	0.141 \| good

Live air quality index in Mount Lebanon, Pennsylvania today

Major air pollutants in Mount Lebanon, Pennsylvania

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Mount Lebanon, Pennsylvania air quality forecast and history

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Mount Lebanon, Pennsylvania air quality map: Stay updated on AQI near you

Air quality in nearby cities

Scott Township, Pennsylvania

Whitehall Borough, Pennsylvania

Upper St. Clair, Pennsylvania

Bethel Park, Pennsylvania

Pittsburgh, Pennsylvania

Baldwin Borough, Pennsylvania

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Frequently asked questions

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What is the PM2.5 level in Mount Lebanon, Pennsylvania at the moment?

What is the PM10 level in Mount Lebanon, Pennsylvania at the moment?

What is the carbon monoxide (CO) level in Mount Lebanon, Pennsylvania at the moment?

What is the sulfur dioxide (SO2) level in Mount Lebanon, Pennsylvania at the moment?

What is the ozone (O3) level in Mount Lebanon, Pennsylvania at the moment?

What is the nitrogen dioxide (NO2) level in Mount Lebanon, Pennsylvania at the moment?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What is the PM_2.5 level in Mount Lebanon, Pennsylvania at the moment?

What is the PM₁₀ level in Mount Lebanon, Pennsylvania at the moment?

What is the sulfur dioxide (SO₂) level in Mount Lebanon, Pennsylvania at the moment?

What is the ozone (O₃) level in Mount Lebanon, Pennsylvania at the moment?

What is the nitrogen dioxide (NO₂) level in Mount Lebanon, Pennsylvania at the moment?