What is the current level of PM10 in Montgomery Township, Pennsylvania?

Montgomery Township, Pennsylvania currently has a PM10 concentration of 15.676 μg/m3.

What is the current level of sulfur dioxide (SO2) in Montgomery Township, Pennsylvania?

The current sulfur dioxide (SO2) concentration in Montgomery Township, Pennsylvania is 0.517 ppb.

What is the current level of ozone (O3) in Montgomery Township, Pennsylvania?

Montgomery Township, Pennsylvania currently has an ozone (O3) concentration of 21.083 ppm.

What is the current level of nitrogen dioxide (NO2) in Montgomery Township, Pennsylvania?

The current level of nitrogen dioxide (NO2) in Montgomery Township, Pennsylvania is 6.709 ppb.

Current air quality index in Montgomery Township, Pennsylvania today

Q: What is the PM2.5 concentration in Montgomery Township, Pennsylvania right now?

Montgomery Township, Pennsylvania currently has a PM2.5 concentration of 4.27 μg/m3.

Stay updated with real-time air quality in Montgomery 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

Montgomery Township, Pennsylvania

Last updated: ... (Local time)

Common air pollutants in Montgomery Township, Pennsylvania

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

3.95 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

20.39 μg/m³

155

255

425

605+

Ozone (O₃)

19.42 ppb

201

201+

Sulfur Dioxide (SO₂)

0.41 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

7.85 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.25 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Montgomery Township, Pennsylvania

Get Live Pollen Counts

Montgomery Township, Pennsylvania

Scroll To Air Quality Map

Track live Montgomery Township, Pennsylvania air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-21T13:00:00.000Z	33 \| good	5.57 \| good	30.361 \| good	7.96 \| good	0.723 \| good	20.418 \| good	0.467 \| good
2025-10-21T14:00:00.000Z	38 \| good	6.608 \| good	25.017 \| good	9.187 \| good	1.085 \| good	19.168 \| good	0.508 \| good
2025-10-21T15:00:00.000Z	44 \| good	7.772 \| good	33.679 \| good	14.926 \| good	1.284 \| good	15.144 \| good	0.386 \| good
2025-10-21T16:00:00.000Z	44 \| good	8.202 \| good	34.203 \| good	17.355 \| good	1.16 \| good	12.182 \| good	0.322 \| good
2025-10-21T17:00:00.000Z	27 \| good	4.581 \| good	19.446 \| good	23.146 \| good	0.474 \| good	10.049 \| good	0.274 \| good
2025-10-21T18:00:00.000Z	29 \| good	4.576 \| good	16.489 \| good	30.805 \| good	0.401 \| good	8.306 \| good	0.28 \| good
2025-10-21T19:00:00.000Z	32 \| good	3.716 \| good	17.226 \| good	34.933 \| good	0.407 \| good	7.227 \| good	0.247 \| good
2025-10-21T20:00:00.000Z	33 \| good	3.568 \| good	16.035 \| good	36.032 \| good	0.329 \| good	7.246 \| good	0.247 \| good
2025-10-21T21:00:00.000Z	36 \| good	3.514 \| good	15.118 \| good	39.285 \| good	0.315 \| good	7.258 \| good	0.286 \| good
2025-10-21T22:00:00.000Z	37 \| good	5.285 \| good	19.38 \| good	39.619 \| good	0.368 \| good	11.844 \| good	0.286 \| good
2025-10-21T23:00:00.000Z	34 \| good	4.576 \| good	20.153 \| good	37.217 \| good	0.378 \| good	16.759 \| good	0.319 \| good
2025-10-22T00:00:00.000Z	34 \| good	5.246 \| good	21.556 \| good	36.571 \| good	0.375 \| good	9.308 \| good	0.35 \| good
2025-10-22T01:00:00.000Z	33 \| good	5.67 \| good	26.163 \| good	28.851 \| good	0.418 \| good	14.932 \| good	0.35 \| good
2025-10-22T02:00:00.000Z	35 \| good	5.467 \| good	24.864 \| good	37.701 \| good	0.275 \| good	14.588 \| good	0.325 \| good
2025-10-22T03:00:00.000Z	38 \| good	7.426 \| good	32.997 \| good	35.532 \| good	2.054 \| good	8.289 \| good	0.183 \| good
2025-10-22T04:00:00.000Z	29 \| good	5.316 \| good	23.2 \| good	31.375 \| good	0.36 \| good	11.473 \| good	0.323 \| good
2025-10-22T05:00:00.000Z	33 \| good	6.078 \| good	25.207 \| good	28.665 \| good	0.354 \| good	8.214 \| good	0.266 \| good
2025-10-22T06:00:00.000Z	44 \| good	7.773 \| good	27.042 \| good	26.745 \| good	0.304 \| good	10.651 \| good	0.266 \| good
2025-10-22T07:00:00.000Z	38 \| good	7.48 \| good	33.769 \| good	24.438 \| good	0.304 \| good	14.313 \| good	0.266 \| good
2025-10-22T08:00:00.000Z	49 \| good	8.522 \| good	40.154 \| good	17.805 \| good	0.309 \| good	9.878 \| good	0.115 \| good
2025-10-22T09:00:00.000Z	44 \| good	7.512 \| good	32.194 \| good	21.399 \| good	0.303 \| good	9.148 \| good	0.266 \| good
2025-10-22T10:00:00.000Z	44 \| good	7.998 \| good	38.816 \| good	19.145 \| good	0.321 \| good	11.839 \| good	0.29 \| good
2025-10-22T11:00:00.000Z	49 \| good	8.604 \| good	33.973 \| good	17.688 \| good	0.149 \| good	12.985 \| good	0.29 \| good
2025-10-22T12:00:00.000Z	44 \| good	8.37 \| good	32.411 \| good	18.611 \| good	0.183 \| good	8.876 \| good	0.314 \| good
2025-10-22T13:00:00.000Z	44 \| good	8.1 \| good	31.603 \| good	21.415 \| good	0.184 \| good	10.272 \| good	0.345 \| good
2025-10-22T14:00:00.000Z	33 \| good	5.882 \| good	14.971 \| good	22.554 \| good	0.369 \| good	6.411 \| good	0.285 \| good
2025-10-22T15:00:00.000Z	30 \| good	5.477 \| good	31.721 \| good	25.941 \| good	0.395 \| good	6.604 \| good	0.285 \| good
2025-10-22T16:00:00.000Z	27 \| good	5.017 \| good	21.099 \| good	24.904 \| good	0.301 \| good	5.203 \| good	0.266 \| good
2025-10-22T17:00:00.000Z	26 \| good	3.435 \| good	11.118 \| good	28.299 \| good	0.309 \| good	3.847 \| good	0.234 \| good
2025-10-22T18:00:00.000Z	28 \| good	2.859 \| good	11.329 \| good	30.454 \| good	0.256 \| good	3.604 \| good	0.196 \| good
2025-10-22T19:00:00.000Z	29 \| good	2.596 \| good	10.616 \| good	30.874 \| good	0.249 \| good	3.039 \| good	0.196 \| good
2025-10-22T20:00:00.000Z	26 \| good	2.91 \| good	12.374 \| good	28.225 \| good	0.277 \| good	4.323 \| good	0.24 \| good
2025-10-22T21:00:00.000Z	28 \| good	3.395 \| good	11.685 \| good	29.601 \| good	0.237 \| good	4.302 \| good	0.209 \| good
2025-10-22T22:00:00.000Z	27 \| good	2.783 \| good	12.064 \| good	29.483 \| good	0.243 \| good	4.163 \| good	0.209 \| good
2025-10-22T23:00:00.000Z	27 \| good	3.211 \| good	12.662 \| good	28.573 \| good	0.24 \| good	6.66 \| good	0.24 \| good
2025-10-23T00:00:00.000Z	25 \| good	3.88 \| good	16.366 \| good	26.854 \| good	0.267 \| good	6.968 \| good	0.264 \| good
2025-10-23T01:00:00.000Z	27 \| good	4.697 \| good	16.382 \| good	26.029 \| good	0.676 \| good	7.277 \| good	0.278 \| good
2025-10-23T02:00:00.000Z	23 \| good	4.227 \| good	19.07 \| good	25.382 \| good	0.264 \| good	6.73 \| good	0.278 \| good
2025-10-23T03:00:00.000Z	22 \| good	4.19 \| good	17.72 \| good	22.701 \| good	0.24 \| good	12.716 \| good	0.203 \| good
2025-10-23T04:00:00.000Z	22 \| good	3.953 \| good	16.788 \| good	23.155 \| good	0.231 \| good	7.792 \| good	0.203 \| good
2025-10-23T05:00:00.000Z	22 \| good	3.955 \| good	17.881 \| good	23.7 \| good	0.199 \| good	8.997 \| good	0.209 \| good
2025-10-23T06:00:00.000Z	23 \| good	3.727 \| good	15.391 \| good	24.612 \| good	0.244 \| good	7.772 \| good	0.203 \| good
2025-10-23T07:00:00.000Z	22 \| good	4.038 \| good	17.163 \| good	22.517 \| good	0.338 \| good	8.523 \| good	0.203 \| good
2025-10-23T08:00:00.000Z	22 \| good	4.092 \| good	22.883 \| good	20.841 \| good	0.218 \| good	6.042 \| good	0.203 \| good
2025-10-23T09:00:00.000Z	22 \| good	4.27 \| good	15.676 \| good	21.083 \| good	0.517 \| good	6.709 \| good	0.203 \| good
2025-10-23T10:00:00.000Z	22 \| good	4.268 \| good	20.662 \| good	20.129 \| good	0.276 \| good	7.49 \| good	0.21 \| good
2025-10-23T11:00:00.000Z	22 \| good	3.951 \| good	20.389 \| good	19.419 \| good	0.415 \| good	7.849 \| good	0.252 \| good
2025-10-23T12:00:00.000Z	27 \| good	5.264 \| good	24.087 \| good	13.535 \| good	0.441 \| good	10.989 \| good	0.281 \| good
2025-10-23T12:00:00.000Z	22 \| good	3.951 \| good	20.389 \| good	19.419 \| good	0.415 \| good	7.849 \| good	0.252 \| good
2025-10-23T11:00:00.000Z	27 \| good	5.487 \| good	23.316 \| good	17.148 \| good	2.311 \| good	6.459 \| good	0.165 \| good
2025-10-23T12:00:00.000Z	27 \| good	5.177 \| good	22.251 \| good	20.477 \| good	2.321 \| good	7.251 \| good	0.172 \| good
2025-10-23T13:00:00.000Z	27 \| good	4.752 \| good	20.857 \| good	23.395 \| good	2.335 \| good	5.979 \| good	0.166 \| good
2025-10-23T14:00:00.000Z	27 \| good	2.805 \| good	11.386 \| good	29.055 \| good	2.35 \| good	4.708 \| good	0.159 \| good
2025-10-23T15:00:00.000Z	28 \| good	2.232 \| good	9.216 \| good	29.972 \| good	2.364 \| good	3.436 \| good	0.153 \| good
2025-10-23T16:00:00.000Z	29 \| good	2.302 \| good	9.712 \| good	30.512 \| good	2.095 \| good	3.127 \| good	0.149 \| good
2025-10-23T17:00:00.000Z	29 \| good	2.603 \| good	10.743 \| good	30.565 \| good	1.826 \| good	2.818 \| good	0.145 \| good
2025-10-23T18:00:00.000Z	28 \| good	2.6 \| good	10.743 \| good	30.226 \| good	1.556 \| good	2.509 \| good	0.142 \| good
2025-10-23T19:00:00.000Z	28 \| good	2.411 \| good	9.873 \| good	29.605 \| good	1.539 \| good	2.759 \| good	0.143 \| good
2025-10-23T20:00:00.000Z	26 \| good	2.407 \| good	9.827 \| good	27.77 \| good	1.521 \| good	3.008 \| good	0.144 \| good
2025-10-23T21:00:00.000Z	26 \| good	2.046 \| good	8.159 \| good	27.726 \| good	1.504 \| good	3.258 \| good	0.145 \| good
2025-10-23T22:00:00.000Z	26 \| good	0.762 \| good	2.873 \| good	27.744 \| good	1.639 \| good	5.804 \| good	0.163 \| good
2025-10-23T23:00:00.000Z	23 \| good	1.402 \| good	5.769 \| good	25.031 \| good	1.775 \| good	8.351 \| good	0.182 \| good
2025-10-24T00:00:00.000Z	21 \| good	2.951 \| good	11.902 \| good	23.396 \| good	1.91 \| good	10.897 \| good	0.2 \| good
2025-10-24T01:00:00.000Z	21 \| good	2.558 \| good	10.682 \| good	23.345 \| good	2.107 \| good	10.499 \| good	0.198 \| good
2025-10-24T02:00:00.000Z	22 \| good	2.682 \| good	10.916 \| good	24.319 \| good	2.304 \| good	10.1 \| good	0.195 \| good
2025-10-24T03:00:00.000Z	25 \| good	3.03 \| good	12.217 \| good	26.795 \| good	2.502 \| good	9.702 \| good	0.192 \| good
2025-10-24T04:00:00.000Z	25 \| good	2.885 \| good	12 \| good	27.158 \| good	2.63 \| good	8.755 \| good	0.187 \| good
2025-10-24T05:00:00.000Z	21 \| good	2.969 \| good	12 \| good	23.492 \| good	2.759 \| good	7.807 \| good	0.181 \| good
2025-10-24T06:00:00.000Z	19 \| good	3.197 \| good	14.025 \| good	19.779 \| good	2.888 \| good	6.859 \| good	0.176 \| good
2025-10-24T07:00:00.000Z	22 \| good	3.567 \| good	15.932 \| good	17.483 \| good	2.843 \| good	6.647 \| good	0.174 \| good
2025-10-24T08:00:00.000Z	22 \| good	3.867 \| good	16.855 \| good	15.094 \| good	2.799 \| good	6.435 \| good	0.173 \| good
2025-10-24T09:00:00.000Z	22 \| good	4.31 \| good	18.911 \| good	12.935 \| good	2.755 \| good	6.223 \| good	0.171 \| good
2025-10-24T10:00:00.000Z	33 \| good	6.048 \| good	26.478 \| good	9.377 \| good	2.793 \| good	7.342 \| good	0.186 \| good
2025-10-24T11:00:00.000Z	38 \| good	6.947 \| good	30.707 \| good	7.351 \| good	2.831 \| good	8.461 \| good	0.201 \| good
2025-10-24T12:00:00.000Z	44 \| good	7.504 \| good	32.923 \| good	9.238 \| good	2.869 \| good	9.579 \| good	0.216 \| good
2025-10-24T13:00:00.000Z	33 \| good	6.298 \| good	28.04 \| good	16.639 \| good	2.745 \| good	7.576 \| good	0.201 \| good
2025-10-24T14:00:00.000Z	23 \| good	4.159 \| good	18.245 \| good	24.939 \| good	2.621 \| good	5.573 \| good	0.186 \| good
2025-10-24T15:00:00.000Z	25 \| good	3.431 \| good	15.152 \| good	27.236 \| good	2.498 \| good	3.57 \| good	0.171 \| good
2025-10-24T16:00:00.000Z	27 \| good	2.439 \| good	9.978 \| good	28.714 \| good	2.243 \| good	3.252 \| good	0.167 \| good
2025-10-24T17:00:00.000Z	29 \| good	1.883 \| good	7.764 \| good	30.598 \| good	1.989 \| good	2.934 \| good	0.163 \| good
2025-10-24T18:00:00.000Z	31 \| good	1.638 \| good	6.778 \| good	32.53 \| good	1.734 \| good	2.616 \| good	0.159 \| good
2025-10-24T19:00:00.000Z	31 \| good	1.404 \| good	5.727 \| good	32.939 \| good	1.569 \| good	2.798 \| good	0.159 \| good
2025-10-24T20:00:00.000Z	30 \| good	1.532 \| good	6.04 \| good	32.329 \| good	1.404 \| good	2.98 \| good	0.159 \| good
2025-10-24T21:00:00.000Z	30 \| good	2.335 \| good	9.578 \| good	31.831 \| good	1.239 \| good	3.161 \| good	0.159 \| good
2025-10-24T22:00:00.000Z	24 \| good	3.691 \| good	15.764 \| good	26.264 \| good	1.295 \| good	5.989 \| good	0.179 \| good
2025-10-24T23:00:00.000Z	22 \| good	4.372 \| good	18.649 \| good	23.29 \| good	1.351 \| good	8.817 \| good	0.199 \| good
2025-10-25T00:00:00.000Z	22 \| good	4.007 \| good	17.717 \| good	22.019 \| good	1.407 \| good	11.645 \| good	0.22 \| good
2025-10-25T01:00:00.000Z	22 \| good	4.34 \| good	18.938 \| good	21.57 \| good	1.449 \| good	11.405 \| good	0.217 \| good
2025-10-25T02:00:00.000Z	27 \| good	4.711 \| good	20.112 \| good	20.215 \| good	1.491 \| good	11.166 \| good	0.215 \| good
2025-10-25T03:00:00.000Z	27 \| good	4.632 \| good	20.094 \| good	21.179 \| good	1.534 \| good	10.926 \| good	0.212 \| good
2025-10-25T04:00:00.000Z	22 \| good	4.136 \| good	18.083 \| good	19.868 \| good	1.525 \| good	10.085 \| good	0.206 \| good
2025-10-25T05:00:00.000Z	22 \| good	3.881 \| good	17.282 \| good	20.181 \| good	1.517 \| good	9.243 \| good	0.2 \| good
2025-10-25T06:00:00.000Z	27 \| good	4.654 \| good	4.727 \| good	15.125 \| good	1.474 \| good	8.228 \| good	0.193 \| good
2025-10-25T07:00:00.000Z	22 \| good	3.89 \| good	17.21 \| good	19.364 \| good	1.531 \| good	8.03 \| good	0.19 \| good
2025-10-25T08:00:00.000Z	22 \| good	3.521 \| good	15.179 \| good	18.521 \| good	1.554 \| good	7.657 \| good	0.187 \| good
2025-10-25T09:00:00.000Z	16 \| good	2.897 \| good	11.827 \| good	15.768 \| good	1.577 \| good	7.285 \| good	0.183 \| good
2025-10-25T10:00:00.000Z	16 \| good	2.846 \| good	11.679 \| good	12.19 \| good	1.651 \| good	8.316 \| good	0.2 \| good

Montgomery township

Empower business decisions with accurate air quality data

Real-time air quality map: Monitor AQI near Montgomery Township, Pennsylvania

0.22ppm

How accurate is Pennsylvania, USA air quality data?

The air quality data for Pennsylvania, USA is gathered from reliable sources such as satellites and monitoring stations, adhering to US EPA guidelines. With the help of advanced algorithms and machine learning, factors like traffic and population density are analyzed to deliver accurate and dependable results.

Source: Ambee Data Sources

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Frequently asked questions

How frequently does the air quality data for Montgomery Township, Pennsylvania get updated?

Air quality updates for Montgomery Township, Pennsylvania are available every hour.

What time in the past 24 hours saw the poorest air quality in Montgomery Township, Pennsylvania?

Montgomery Township, Pennsylvania experienced its worst air quality at 11:00:00, 2025-10-22.

When was air quality in Montgomery Township, Pennsylvania the best over the past 24 hours?

The best air quality in Montgomery Township, Pennsylvania was observed at 09:00:00 on 2025-10-23.

What is the air quality in Montgomery Township, Pennsylvania right now?

The air quality in Montgomery Township, Pennsylvania right now is Good, with an AQI of 22.

What pollutant is most frequently found in Montgomery Township, Pennsylvania?

In Montgomery Township, Pennsylvania, PM2.5 is the most frequently found pollutant.

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

When air quality in Montgomery Township, Pennsylvania is compromised, staying indoors and wearing a mask can reduce health risks.

What is the PM_2.5 concentration in Montgomery Township, Pennsylvania right now?

Montgomery Township, Pennsylvania currently has a PM_2.5 concentration of 4.27 μg/m³.

What is the current level of PM₁₀ in Montgomery Township, Pennsylvania?

Montgomery Township, Pennsylvania currently has a PM₁₀ concentration of 15.676 μg/m³.

What is the current level of carbon monoxide (CO) in Montgomery Township, Pennsylvania?

The current carbon monoxide (CO) level in Montgomery Township, Pennsylvania is 0.203 ppm.

What is the current level of sulfur dioxide (SO₂) in Montgomery Township, Pennsylvania?

The current sulfur dioxide (SO₂) concentration in Montgomery Township, Pennsylvania is 0.517 ppb.

What is the current level of ozone (O₃) in Montgomery Township, Pennsylvania?

Montgomery Township, Pennsylvania currently has an ozone (O₃) concentration of 21.083 ppm.

What is the current level of nitrogen dioxide (NO₂) in Montgomery Township, Pennsylvania?

The current level of nitrogen dioxide (NO₂) in Montgomery Township, Pennsylvania is 6.709 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-21T13:00:00.000Z	33 \| good	5.57 \| good	30.361 \| good	7.96 \| good	0.723 \| good	20.418 \| good	0.467 \| good
2025-10-21T14:00:00.000Z	38 \| good	6.608 \| good	25.017 \| good	9.187 \| good	1.085 \| good	19.168 \| good	0.508 \| good
2025-10-21T15:00:00.000Z	44 \| good	7.772 \| good	33.679 \| good	14.926 \| good	1.284 \| good	15.144 \| good	0.386 \| good
2025-10-21T16:00:00.000Z	44 \| good	8.202 \| good	34.203 \| good	17.355 \| good	1.16 \| good	12.182 \| good	0.322 \| good
2025-10-21T17:00:00.000Z	27 \| good	4.581 \| good	19.446 \| good	23.146 \| good	0.474 \| good	10.049 \| good	0.274 \| good
2025-10-21T18:00:00.000Z	29 \| good	4.576 \| good	16.489 \| good	30.805 \| good	0.401 \| good	8.306 \| good	0.28 \| good
2025-10-21T19:00:00.000Z	32 \| good	3.716 \| good	17.226 \| good	34.933 \| good	0.407 \| good	7.227 \| good	0.247 \| good
2025-10-21T20:00:00.000Z	33 \| good	3.568 \| good	16.035 \| good	36.032 \| good	0.329 \| good	7.246 \| good	0.247 \| good
2025-10-21T21:00:00.000Z	36 \| good	3.514 \| good	15.118 \| good	39.285 \| good	0.315 \| good	7.258 \| good	0.286 \| good
2025-10-21T22:00:00.000Z	37 \| good	5.285 \| good	19.38 \| good	39.619 \| good	0.368 \| good	11.844 \| good	0.286 \| good
2025-10-21T23:00:00.000Z	34 \| good	4.576 \| good	20.153 \| good	37.217 \| good	0.378 \| good	16.759 \| good	0.319 \| good
2025-10-22T00:00:00.000Z	34 \| good	5.246 \| good	21.556 \| good	36.571 \| good	0.375 \| good	9.308 \| good	0.35 \| good
2025-10-22T01:00:00.000Z	33 \| good	5.67 \| good	26.163 \| good	28.851 \| good	0.418 \| good	14.932 \| good	0.35 \| good
2025-10-22T02:00:00.000Z	35 \| good	5.467 \| good	24.864 \| good	37.701 \| good	0.275 \| good	14.588 \| good	0.325 \| good
2025-10-22T03:00:00.000Z	38 \| good	7.426 \| good	32.997 \| good	35.532 \| good	2.054 \| good	8.289 \| good	0.183 \| good
2025-10-22T04:00:00.000Z	29 \| good	5.316 \| good	23.2 \| good	31.375 \| good	0.36 \| good	11.473 \| good	0.323 \| good
2025-10-22T05:00:00.000Z	33 \| good	6.078 \| good	25.207 \| good	28.665 \| good	0.354 \| good	8.214 \| good	0.266 \| good
2025-10-22T06:00:00.000Z	44 \| good	7.773 \| good	27.042 \| good	26.745 \| good	0.304 \| good	10.651 \| good	0.266 \| good
2025-10-22T07:00:00.000Z	38 \| good	7.48 \| good	33.769 \| good	24.438 \| good	0.304 \| good	14.313 \| good	0.266 \| good
2025-10-22T08:00:00.000Z	49 \| good	8.522 \| good	40.154 \| good	17.805 \| good	0.309 \| good	9.878 \| good	0.115 \| good
2025-10-22T09:00:00.000Z	44 \| good	7.512 \| good	32.194 \| good	21.399 \| good	0.303 \| good	9.148 \| good	0.266 \| good
2025-10-22T10:00:00.000Z	44 \| good	7.998 \| good	38.816 \| good	19.145 \| good	0.321 \| good	11.839 \| good	0.29 \| good
2025-10-22T11:00:00.000Z	49 \| good	8.604 \| good	33.973 \| good	17.688 \| good	0.149 \| good	12.985 \| good	0.29 \| good
2025-10-22T12:00:00.000Z	44 \| good	8.37 \| good	32.411 \| good	18.611 \| good	0.183 \| good	8.876 \| good	0.314 \| good
2025-10-22T13:00:00.000Z	44 \| good	8.1 \| good	31.603 \| good	21.415 \| good	0.184 \| good	10.272 \| good	0.345 \| good
2025-10-22T14:00:00.000Z	33 \| good	5.882 \| good	14.971 \| good	22.554 \| good	0.369 \| good	6.411 \| good	0.285 \| good
2025-10-22T15:00:00.000Z	30 \| good	5.477 \| good	31.721 \| good	25.941 \| good	0.395 \| good	6.604 \| good	0.285 \| good
2025-10-22T16:00:00.000Z	27 \| good	5.017 \| good	21.099 \| good	24.904 \| good	0.301 \| good	5.203 \| good	0.266 \| good
2025-10-22T17:00:00.000Z	26 \| good	3.435 \| good	11.118 \| good	28.299 \| good	0.309 \| good	3.847 \| good	0.234 \| good
2025-10-22T18:00:00.000Z	28 \| good	2.859 \| good	11.329 \| good	30.454 \| good	0.256 \| good	3.604 \| good	0.196 \| good
2025-10-22T19:00:00.000Z	29 \| good	2.596 \| good	10.616 \| good	30.874 \| good	0.249 \| good	3.039 \| good	0.196 \| good
2025-10-22T20:00:00.000Z	26 \| good	2.91 \| good	12.374 \| good	28.225 \| good	0.277 \| good	4.323 \| good	0.24 \| good
2025-10-22T21:00:00.000Z	28 \| good	3.395 \| good	11.685 \| good	29.601 \| good	0.237 \| good	4.302 \| good	0.209 \| good
2025-10-22T22:00:00.000Z	27 \| good	2.783 \| good	12.064 \| good	29.483 \| good	0.243 \| good	4.163 \| good	0.209 \| good
2025-10-22T23:00:00.000Z	27 \| good	3.211 \| good	12.662 \| good	28.573 \| good	0.24 \| good	6.66 \| good	0.24 \| good
2025-10-23T00:00:00.000Z	25 \| good	3.88 \| good	16.366 \| good	26.854 \| good	0.267 \| good	6.968 \| good	0.264 \| good
2025-10-23T01:00:00.000Z	27 \| good	4.697 \| good	16.382 \| good	26.029 \| good	0.676 \| good	7.277 \| good	0.278 \| good
2025-10-23T02:00:00.000Z	23 \| good	4.227 \| good	19.07 \| good	25.382 \| good	0.264 \| good	6.73 \| good	0.278 \| good
2025-10-23T03:00:00.000Z	22 \| good	4.19 \| good	17.72 \| good	22.701 \| good	0.24 \| good	12.716 \| good	0.203 \| good
2025-10-23T04:00:00.000Z	22 \| good	3.953 \| good	16.788 \| good	23.155 \| good	0.231 \| good	7.792 \| good	0.203 \| good
2025-10-23T05:00:00.000Z	22 \| good	3.955 \| good	17.881 \| good	23.7 \| good	0.199 \| good	8.997 \| good	0.209 \| good
2025-10-23T06:00:00.000Z	23 \| good	3.727 \| good	15.391 \| good	24.612 \| good	0.244 \| good	7.772 \| good	0.203 \| good
2025-10-23T07:00:00.000Z	22 \| good	4.038 \| good	17.163 \| good	22.517 \| good	0.338 \| good	8.523 \| good	0.203 \| good
2025-10-23T08:00:00.000Z	22 \| good	4.092 \| good	22.883 \| good	20.841 \| good	0.218 \| good	6.042 \| good	0.203 \| good
2025-10-23T09:00:00.000Z	22 \| good	4.27 \| good	15.676 \| good	21.083 \| good	0.517 \| good	6.709 \| good	0.203 \| good
2025-10-23T10:00:00.000Z	22 \| good	4.268 \| good	20.662 \| good	20.129 \| good	0.276 \| good	7.49 \| good	0.21 \| good
2025-10-23T11:00:00.000Z	22 \| good	3.951 \| good	20.389 \| good	19.419 \| good	0.415 \| good	7.849 \| good	0.252 \| good
2025-10-23T12:00:00.000Z	27 \| good	5.264 \| good	24.087 \| good	13.535 \| good	0.441 \| good	10.989 \| good	0.281 \| good
2025-10-23T12:00:00.000Z	22 \| good	3.951 \| good	20.389 \| good	19.419 \| good	0.415 \| good	7.849 \| good	0.252 \| good
2025-10-23T11:00:00.000Z	27 \| good	5.487 \| good	23.316 \| good	17.148 \| good	2.311 \| good	6.459 \| good	0.165 \| good
2025-10-23T12:00:00.000Z	27 \| good	5.177 \| good	22.251 \| good	20.477 \| good	2.321 \| good	7.251 \| good	0.172 \| good
2025-10-23T13:00:00.000Z	27 \| good	4.752 \| good	20.857 \| good	23.395 \| good	2.335 \| good	5.979 \| good	0.166 \| good
2025-10-23T14:00:00.000Z	27 \| good	2.805 \| good	11.386 \| good	29.055 \| good	2.35 \| good	4.708 \| good	0.159 \| good
2025-10-23T15:00:00.000Z	28 \| good	2.232 \| good	9.216 \| good	29.972 \| good	2.364 \| good	3.436 \| good	0.153 \| good
2025-10-23T16:00:00.000Z	29 \| good	2.302 \| good	9.712 \| good	30.512 \| good	2.095 \| good	3.127 \| good	0.149 \| good
2025-10-23T17:00:00.000Z	29 \| good	2.603 \| good	10.743 \| good	30.565 \| good	1.826 \| good	2.818 \| good	0.145 \| good
2025-10-23T18:00:00.000Z	28 \| good	2.6 \| good	10.743 \| good	30.226 \| good	1.556 \| good	2.509 \| good	0.142 \| good
2025-10-23T19:00:00.000Z	28 \| good	2.411 \| good	9.873 \| good	29.605 \| good	1.539 \| good	2.759 \| good	0.143 \| good
2025-10-23T20:00:00.000Z	26 \| good	2.407 \| good	9.827 \| good	27.77 \| good	1.521 \| good	3.008 \| good	0.144 \| good
2025-10-23T21:00:00.000Z	26 \| good	2.046 \| good	8.159 \| good	27.726 \| good	1.504 \| good	3.258 \| good	0.145 \| good
2025-10-23T22:00:00.000Z	26 \| good	0.762 \| good	2.873 \| good	27.744 \| good	1.639 \| good	5.804 \| good	0.163 \| good
2025-10-23T23:00:00.000Z	23 \| good	1.402 \| good	5.769 \| good	25.031 \| good	1.775 \| good	8.351 \| good	0.182 \| good
2025-10-24T00:00:00.000Z	21 \| good	2.951 \| good	11.902 \| good	23.396 \| good	1.91 \| good	10.897 \| good	0.2 \| good
2025-10-24T01:00:00.000Z	21 \| good	2.558 \| good	10.682 \| good	23.345 \| good	2.107 \| good	10.499 \| good	0.198 \| good
2025-10-24T02:00:00.000Z	22 \| good	2.682 \| good	10.916 \| good	24.319 \| good	2.304 \| good	10.1 \| good	0.195 \| good
2025-10-24T03:00:00.000Z	25 \| good	3.03 \| good	12.217 \| good	26.795 \| good	2.502 \| good	9.702 \| good	0.192 \| good
2025-10-24T04:00:00.000Z	25 \| good	2.885 \| good	12 \| good	27.158 \| good	2.63 \| good	8.755 \| good	0.187 \| good
2025-10-24T05:00:00.000Z	21 \| good	2.969 \| good	12 \| good	23.492 \| good	2.759 \| good	7.807 \| good	0.181 \| good
2025-10-24T06:00:00.000Z	19 \| good	3.197 \| good	14.025 \| good	19.779 \| good	2.888 \| good	6.859 \| good	0.176 \| good
2025-10-24T07:00:00.000Z	22 \| good	3.567 \| good	15.932 \| good	17.483 \| good	2.843 \| good	6.647 \| good	0.174 \| good
2025-10-24T08:00:00.000Z	22 \| good	3.867 \| good	16.855 \| good	15.094 \| good	2.799 \| good	6.435 \| good	0.173 \| good
2025-10-24T09:00:00.000Z	22 \| good	4.31 \| good	18.911 \| good	12.935 \| good	2.755 \| good	6.223 \| good	0.171 \| good
2025-10-24T10:00:00.000Z	33 \| good	6.048 \| good	26.478 \| good	9.377 \| good	2.793 \| good	7.342 \| good	0.186 \| good
2025-10-24T11:00:00.000Z	38 \| good	6.947 \| good	30.707 \| good	7.351 \| good	2.831 \| good	8.461 \| good	0.201 \| good
2025-10-24T12:00:00.000Z	44 \| good	7.504 \| good	32.923 \| good	9.238 \| good	2.869 \| good	9.579 \| good	0.216 \| good
2025-10-24T13:00:00.000Z	33 \| good	6.298 \| good	28.04 \| good	16.639 \| good	2.745 \| good	7.576 \| good	0.201 \| good
2025-10-24T14:00:00.000Z	23 \| good	4.159 \| good	18.245 \| good	24.939 \| good	2.621 \| good	5.573 \| good	0.186 \| good
2025-10-24T15:00:00.000Z	25 \| good	3.431 \| good	15.152 \| good	27.236 \| good	2.498 \| good	3.57 \| good	0.171 \| good
2025-10-24T16:00:00.000Z	27 \| good	2.439 \| good	9.978 \| good	28.714 \| good	2.243 \| good	3.252 \| good	0.167 \| good
2025-10-24T17:00:00.000Z	29 \| good	1.883 \| good	7.764 \| good	30.598 \| good	1.989 \| good	2.934 \| good	0.163 \| good
2025-10-24T18:00:00.000Z	31 \| good	1.638 \| good	6.778 \| good	32.53 \| good	1.734 \| good	2.616 \| good	0.159 \| good
2025-10-24T19:00:00.000Z	31 \| good	1.404 \| good	5.727 \| good	32.939 \| good	1.569 \| good	2.798 \| good	0.159 \| good
2025-10-24T20:00:00.000Z	30 \| good	1.532 \| good	6.04 \| good	32.329 \| good	1.404 \| good	2.98 \| good	0.159 \| good
2025-10-24T21:00:00.000Z	30 \| good	2.335 \| good	9.578 \| good	31.831 \| good	1.239 \| good	3.161 \| good	0.159 \| good
2025-10-24T22:00:00.000Z	24 \| good	3.691 \| good	15.764 \| good	26.264 \| good	1.295 \| good	5.989 \| good	0.179 \| good
2025-10-24T23:00:00.000Z	22 \| good	4.372 \| good	18.649 \| good	23.29 \| good	1.351 \| good	8.817 \| good	0.199 \| good
2025-10-25T00:00:00.000Z	22 \| good	4.007 \| good	17.717 \| good	22.019 \| good	1.407 \| good	11.645 \| good	0.22 \| good
2025-10-25T01:00:00.000Z	22 \| good	4.34 \| good	18.938 \| good	21.57 \| good	1.449 \| good	11.405 \| good	0.217 \| good
2025-10-25T02:00:00.000Z	27 \| good	4.711 \| good	20.112 \| good	20.215 \| good	1.491 \| good	11.166 \| good	0.215 \| good
2025-10-25T03:00:00.000Z	27 \| good	4.632 \| good	20.094 \| good	21.179 \| good	1.534 \| good	10.926 \| good	0.212 \| good
2025-10-25T04:00:00.000Z	22 \| good	4.136 \| good	18.083 \| good	19.868 \| good	1.525 \| good	10.085 \| good	0.206 \| good
2025-10-25T05:00:00.000Z	22 \| good	3.881 \| good	17.282 \| good	20.181 \| good	1.517 \| good	9.243 \| good	0.2 \| good
2025-10-25T06:00:00.000Z	27 \| good	4.654 \| good	4.727 \| good	15.125 \| good	1.474 \| good	8.228 \| good	0.193 \| good
2025-10-25T07:00:00.000Z	22 \| good	3.89 \| good	17.21 \| good	19.364 \| good	1.531 \| good	8.03 \| good	0.19 \| good
2025-10-25T08:00:00.000Z	22 \| good	3.521 \| good	15.179 \| good	18.521 \| good	1.554 \| good	7.657 \| good	0.187 \| good
2025-10-25T09:00:00.000Z	16 \| good	2.897 \| good	11.827 \| good	15.768 \| good	1.577 \| good	7.285 \| good	0.183 \| good
2025-10-25T10:00:00.000Z	16 \| good	2.846 \| good	11.679 \| good	12.19 \| good	1.651 \| good	8.316 \| good	0.2 \| good

Current air quality index in Montgomery Township, Pennsylvania today

Common air pollutants in Montgomery Township, Pennsylvania

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Montgomery Township, Pennsylvania air quality forecast and history

Empower business decisions with accurate air quality data

Real-time air quality map: Monitor AQI near Montgomery Township, Pennsylvania

Air quality in nearby cities

Montgomery Township, Pennsylvania

Lansdale, Pennsylvania

Upper Gwynedd, Pennsylvania

Hatfield Township, Pennsylvania

Warrington Township, Pennsylvania

Lower Gwynedd, Pennsylvania

How accurate is Pennsylvania, USA air quality data?

Air quality levels in US

Frequently asked questions

How frequently does the air quality data for Montgomery Township, Pennsylvania get updated?

What time in the past 24 hours saw the poorest air quality in Montgomery Township, Pennsylvania?

When was air quality in Montgomery Township, Pennsylvania the best over the past 24 hours?

What is the air quality in Montgomery Township, Pennsylvania right now?

What pollutant is most frequently found in Montgomery Township, Pennsylvania?

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

What is the PM2.5 concentration in Montgomery Township, Pennsylvania right now?

What is the current level of PM10 in Montgomery Township, Pennsylvania?

What is the current level of carbon monoxide (CO) in Montgomery Township, Pennsylvania?

What is the current level of sulfur dioxide (SO2) in Montgomery Township, Pennsylvania?

What is the current level of ozone (O3) in Montgomery Township, Pennsylvania?

What is the current level of nitrogen dioxide (NO2) in Montgomery Township, Pennsylvania?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What is the PM_2.5 concentration in Montgomery Township, Pennsylvania right now?

What is the current level of PM₁₀ in Montgomery Township, Pennsylvania?

What is the current level of sulfur dioxide (SO₂) in Montgomery Township, Pennsylvania?

What is the current level of ozone (O₃) in Montgomery Township, Pennsylvania?

What is the current level of nitrogen dioxide (NO₂) in Montgomery Township, Pennsylvania?