What are the current PM10 levels at Lower Gwynedd, Pennsylvania?

The current PM10 levels in Lower Gwynedd, Pennsylvania are 17.066 μg/m3.

What are the current sulfur dioxide (SO2) levels at Lower Gwynedd, Pennsylvania?

The current sulfur dioxide (SO2) levels in Lower Gwynedd, Pennsylvania are 0.209 ppb.

What are the current ozone (O3) levels at Lower Gwynedd, Pennsylvania?

The current ozone (O3) levels at Lower Gwynedd, Pennsylvania is 21.563 ppm.

What are the current nitrogen dioxide (NO2) levels at Lower Gwynedd, Pennsylvania?

The current nitrogen dioxide (NO2) levels at Lower Gwynedd, Pennsylvania is 6.452 ppb.

Real-time air quality index in Lower Gwynedd, Pennsylvania today

Q: What are the current PM2.5 levels in Lower Gwynedd, Pennsylvania?

The measured PM2.5 levels in Lower Gwynedd, Pennsylvania at present are 4.062 μg/m3.

Stay updated with real-time air quality in Lower Gwynedd, 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

Lower Gwynedd, Pennsylvania

Last updated: ... (Local time)

Common air pollutants in Lower Gwynedd, Pennsylvania

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

4.35 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

18.07 μg/m³

155

255

425

605+

Ozone (O₃)

16.16 ppb

201

201+

Sulfur Dioxide (SO₂)

0.35 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

9.77 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.27 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Lower Gwynedd, Pennsylvania

Get Live Pollen Counts

Lower Gwynedd, Pennsylvania

Scroll To Air Quality Map

Track live Lower Gwynedd, 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	4.347 \| good	18.066 \| good	16.161 \| good	0.354 \| good	9.77 \| good	0.269 \| good
2025-10-23T10:00:00.000Z	33 \| good	5.932 \| good	26.658 \| good	17.648 \| good	2.321 \| good	5.902 \| good	0.158 \| good
2025-10-23T11:00:00.000Z	27 \| good	5.43 \| good	23.101 \| good	17.247 \| good	2.341 \| good	6.747 \| good	0.166 \| good
2025-10-23T12:00:00.000Z	27 \| good	5.107 \| good	21.997 \| good	20.445 \| good	2.362 \| good	7.591 \| good	0.173 \| good
2025-10-23T13:00:00.000Z	27 \| good	4.648 \| good	20.337 \| good	23.377 \| good	2.369 \| good	6.227 \| good	0.166 \| good
2025-10-23T14:00:00.000Z	27 \| good	2.631 \| good	10.64 \| good	29.45 \| good	2.375 \| good	4.863 \| good	0.159 \| good
2025-10-23T15:00:00.000Z	28 \| good	2.146 \| good	8.661 \| good	30.356 \| good	2.382 \| good	3.499 \| good	0.152 \| good
2025-10-23T16:00:00.000Z	29 \| good	2.341 \| good	9.89 \| good	30.897 \| good	2.101 \| good	3.195 \| good	0.149 \| good
2025-10-23T17:00:00.000Z	29 \| good	2.698 \| good	11.065 \| good	30.936 \| good	1.82 \| good	2.89 \| good	0.145 \| good
2025-10-23T18:00:00.000Z	28 \| good	2.707 \| good	11.065 \| good	30.378 \| good	1.539 \| good	2.586 \| good	0.141 \| good
2025-10-23T19:00:00.000Z	28 \| good	2.567 \| good	10.624 \| good	29.687 \| good	1.531 \| good	2.866 \| good	0.142 \| good
2025-10-23T20:00:00.000Z	26 \| good	2.551 \| good	10.63 \| good	27.89 \| good	1.524 \| good	3.146 \| good	0.144 \| good
2025-10-23T21:00:00.000Z	26 \| good	2.217 \| good	9.135 \| good	27.777 \| good	1.516 \| good	3.427 \| good	0.145 \| good
2025-10-23T22:00:00.000Z	26 \| good	0.895 \| good	3.606 \| good	27.555 \| good	1.656 \| good	6.115 \| good	0.164 \| good
2025-10-23T23:00:00.000Z	23 \| good	1.615 \| good	6.605 \| good	24.618 \| good	1.796 \| good	8.803 \| good	0.183 \| good
2025-10-24T00:00:00.000Z	21 \| good	3.332 \| good	14.355 \| good	22.693 \| good	1.936 \| good	11.492 \| good	0.202 \| good
2025-10-24T01:00:00.000Z	20 \| good	2.95 \| good	12.753 \| good	22.444 \| good	2.119 \| good	11.12 \| good	0.199 \| good
2025-10-24T02:00:00.000Z	22 \| good	2.873 \| good	11.806 \| good	23.807 \| good	2.303 \| good	10.749 \| good	0.197 \| good
2025-10-24T03:00:00.000Z	25 \| good	3.073 \| good	12.986 \| good	26.945 \| good	2.487 \| good	10.378 \| good	0.194 \| good
2025-10-24T04:00:00.000Z	26 \| good	2.861 \| good	11.935 \| good	27.741 \| good	2.638 \| good	9.35 \| good	0.188 \| good
2025-10-24T05:00:00.000Z	22 \| good	2.942 \| good	12 \| good	23.976 \| good	2.789 \| good	8.323 \| good	0.182 \| good
2025-10-24T06:00:00.000Z	19 \| good	3.155 \| good	13.879 \| good	20.073 \| good	2.94 \| good	7.295 \| good	0.177 \| good
2025-10-24T07:00:00.000Z	22 \| good	3.57 \| good	15.914 \| good	17.665 \| good	2.921 \| good	7.071 \| good	0.175 \| good
2025-10-24T08:00:00.000Z	22 \| good	3.952 \| good	17.188 \| good	15.036 \| good	2.902 \| good	6.848 \| good	0.173 \| good
2025-10-24T09:00:00.000Z	27 \| good	4.556 \| good	19.818 \| good	12.659 \| good	2.883 \| good	6.624 \| good	0.172 \| good
2025-10-24T10:00:00.000Z	33 \| good	6.444 \| good	28.674 \| good	8.782 \| good	2.925 \| good	7.785 \| good	0.187 \| good
2025-10-24T11:00:00.000Z	38 \| good	7.405 \| good	32.777 \| good	6.657 \| good	2.968 \| good	8.947 \| good	0.203 \| good
2025-10-24T12:00:00.000Z	44 \| good	7.835 \| good	34.271 \| good	8.927 \| good	3.01 \| good	10.108 \| good	0.218 \| good
2025-10-24T13:00:00.000Z	33 \| good	6.351 \| good	28.077 \| good	16.456 \| good	2.905 \| good	8.017 \| good	0.203 \| good
2025-10-24T14:00:00.000Z	23 \| good	3.972 \| good	17.461 \| good	25.191 \| good	2.799 \| good	5.925 \| good	0.188 \| good
2025-10-24T15:00:00.000Z	26 \| good	3.298 \| good	14.462 \| good	27.519 \| good	2.693 \| good	3.833 \| good	0.173 \| good
2025-10-24T16:00:00.000Z	27 \| good	2.455 \| good	10.036 \| good	28.924 \| good	2.406 \| good	3.472 \| good	0.168 \| good
2025-10-24T17:00:00.000Z	29 \| good	1.995 \| good	8.081 \| good	30.573 \| good	2.119 \| good	3.11 \| good	0.164 \| good
2025-10-24T18:00:00.000Z	30 \| good	1.766 \| good	7.489 \| good	32.476 \| good	1.832 \| good	2.749 \| good	0.159 \| good
2025-10-24T19:00:00.000Z	31 \| good	1.528 \| good	6.038 \| good	33.232 \| good	1.658 \| good	2.944 \| good	0.159 \| good
2025-10-24T20:00:00.000Z	31 \| good	1.613 \| good	6.534 \| good	32.666 \| good	1.483 \| good	3.139 \| good	0.159 \| good
2025-10-24T21:00:00.000Z	30 \| good	2.553 \| good	10.481 \| good	31.7 \| good	1.309 \| good	3.335 \| good	0.159 \| good
2025-10-24T22:00:00.000Z	24 \| good	3.96 \| good	17.085 \| good	25.674 \| good	1.365 \| good	6.382 \| good	0.181 \| good
2025-10-24T23:00:00.000Z	27 \| good	4.765 \| good	20.316 \| good	22.584 \| good	1.422 \| good	9.43 \| good	0.202 \| good
2025-10-25T00:00:00.000Z	27 \| good	4.774 \| good	20.635 \| good	20.826 \| good	1.478 \| good	12.478 \| good	0.224 \| good
2025-10-25T01:00:00.000Z	27 \| good	5.233 \| good	22.861 \| good	20.389 \| good	1.527 \| good	12.247 \| good	0.221 \| good
2025-10-25T02:00:00.000Z	33 \| good	5.593 \| good	24.397 \| good	19.07 \| good	1.577 \| good	12.017 \| good	0.219 \| good
2025-10-25T03:00:00.000Z	27 \| good	5.407 \| good	23.371 \| good	20.439 \| good	1.626 \| good	11.786 \| good	0.217 \| good
2025-10-25T04:00:00.000Z	27 \| good	4.766 \| good	20.657 \| good	19.186 \| good	1.624 \| good	10.862 \| good	0.21 \| good
2025-10-25T05:00:00.000Z	22 \| good	4.422 \| good	19.6 \| good	19.893 \| good	1.622 \| good	9.937 \| good	0.204 \| good
2025-10-25T06:00:00.000Z	27 \| good	5.152 \| good	5.236 \| good	14.565 \| good	1.608 \| good	8.929 \| good	0.197 \| good
2025-10-25T07:00:00.000Z	22 \| good	4.387 \| good	19.094 \| good	19.363 \| good	1.646 \| good	8.631 \| good	0.194 \| good
2025-10-25T08:00:00.000Z	22 \| good	4.035 \| good	17.669 \| good	18.631 \| good	1.671 \| good	8.249 \| good	0.19 \| good
2025-10-25T09:00:00.000Z	16 \| good	3.365 \| good	14.393 \| good	15.592 \| good	1.697 \| good	7.867 \| good	0.186 \| good

Lower Gwynedd

Empower business decisions with accurate air quality data

Lower Gwynedd, Pennsylvania air quality map: Real-time AQI near you

0.21ppm

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 Lower Gwynedd, Pennsylvania updated?

Air quality data for Lower Gwynedd, Pennsylvania is updated on an hourly basis.

When did Lower Gwynedd, Pennsylvania experience the worst air quality in the last 24 hours?

The worst air quality in Lower Gwynedd, Pennsylvania was recorded at 11:00:00 on 2025-10-22.

When did Lower Gwynedd, Pennsylvania have its best air quality in the last 24 hours?

The best air quality in Lower Gwynedd, Pennsylvania was recorded at 08:00:00 on 2025-10-23.

What is the real-time air quality index for Lower Gwynedd, Pennsylvania?

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

Which pollutant is found most often in Lower Gwynedd, Pennsylvania?

The most common pollutant in Lower Gwynedd, Pennsylvania is PM2.5.

What can I do if the air quality in Lower Gwynedd, Pennsylvania is poor?

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

What are the current PM_2.5 levels in Lower Gwynedd, Pennsylvania?

The measured PM_2.5 levels in Lower Gwynedd, Pennsylvania at present are 4.062 μg/m³.

What are the current PM₁₀ levels at Lower Gwynedd, Pennsylvania?

The current PM₁₀ levels in Lower Gwynedd, Pennsylvania are 17.066 μg/m³.

What are the current carbon monoxide (CO) levels at Lower Gwynedd, Pennsylvania?

The current carbon monoxide (CO) level in Lower Gwynedd, Pennsylvania is 0.221 ppm.

What are the current sulfur dioxide (SO₂) levels at Lower Gwynedd, Pennsylvania?

The current sulfur dioxide (SO₂) levels in Lower Gwynedd, Pennsylvania are 0.209 ppb.

What are the current ozone (O₃) levels at Lower Gwynedd, Pennsylvania?

The current ozone (O₃) levels at Lower Gwynedd, Pennsylvania is 21.563 ppm.

What are the current nitrogen dioxide (NO₂) levels at Lower Gwynedd, Pennsylvania?

The current nitrogen dioxide (NO₂) levels at Lower Gwynedd, Pennsylvania is 6.452 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	4.347 \| good	18.066 \| good	16.161 \| good	0.354 \| good	9.77 \| good	0.269 \| good
2025-10-23T10:00:00.000Z	33 \| good	5.932 \| good	26.658 \| good	17.648 \| good	2.321 \| good	5.902 \| good	0.158 \| good
2025-10-23T11:00:00.000Z	27 \| good	5.43 \| good	23.101 \| good	17.247 \| good	2.341 \| good	6.747 \| good	0.166 \| good
2025-10-23T12:00:00.000Z	27 \| good	5.107 \| good	21.997 \| good	20.445 \| good	2.362 \| good	7.591 \| good	0.173 \| good
2025-10-23T13:00:00.000Z	27 \| good	4.648 \| good	20.337 \| good	23.377 \| good	2.369 \| good	6.227 \| good	0.166 \| good
2025-10-23T14:00:00.000Z	27 \| good	2.631 \| good	10.64 \| good	29.45 \| good	2.375 \| good	4.863 \| good	0.159 \| good
2025-10-23T15:00:00.000Z	28 \| good	2.146 \| good	8.661 \| good	30.356 \| good	2.382 \| good	3.499 \| good	0.152 \| good
2025-10-23T16:00:00.000Z	29 \| good	2.341 \| good	9.89 \| good	30.897 \| good	2.101 \| good	3.195 \| good	0.149 \| good
2025-10-23T17:00:00.000Z	29 \| good	2.698 \| good	11.065 \| good	30.936 \| good	1.82 \| good	2.89 \| good	0.145 \| good
2025-10-23T18:00:00.000Z	28 \| good	2.707 \| good	11.065 \| good	30.378 \| good	1.539 \| good	2.586 \| good	0.141 \| good
2025-10-23T19:00:00.000Z	28 \| good	2.567 \| good	10.624 \| good	29.687 \| good	1.531 \| good	2.866 \| good	0.142 \| good
2025-10-23T20:00:00.000Z	26 \| good	2.551 \| good	10.63 \| good	27.89 \| good	1.524 \| good	3.146 \| good	0.144 \| good
2025-10-23T21:00:00.000Z	26 \| good	2.217 \| good	9.135 \| good	27.777 \| good	1.516 \| good	3.427 \| good	0.145 \| good
2025-10-23T22:00:00.000Z	26 \| good	0.895 \| good	3.606 \| good	27.555 \| good	1.656 \| good	6.115 \| good	0.164 \| good
2025-10-23T23:00:00.000Z	23 \| good	1.615 \| good	6.605 \| good	24.618 \| good	1.796 \| good	8.803 \| good	0.183 \| good
2025-10-24T00:00:00.000Z	21 \| good	3.332 \| good	14.355 \| good	22.693 \| good	1.936 \| good	11.492 \| good	0.202 \| good
2025-10-24T01:00:00.000Z	20 \| good	2.95 \| good	12.753 \| good	22.444 \| good	2.119 \| good	11.12 \| good	0.199 \| good
2025-10-24T02:00:00.000Z	22 \| good	2.873 \| good	11.806 \| good	23.807 \| good	2.303 \| good	10.749 \| good	0.197 \| good
2025-10-24T03:00:00.000Z	25 \| good	3.073 \| good	12.986 \| good	26.945 \| good	2.487 \| good	10.378 \| good	0.194 \| good
2025-10-24T04:00:00.000Z	26 \| good	2.861 \| good	11.935 \| good	27.741 \| good	2.638 \| good	9.35 \| good	0.188 \| good
2025-10-24T05:00:00.000Z	22 \| good	2.942 \| good	12 \| good	23.976 \| good	2.789 \| good	8.323 \| good	0.182 \| good
2025-10-24T06:00:00.000Z	19 \| good	3.155 \| good	13.879 \| good	20.073 \| good	2.94 \| good	7.295 \| good	0.177 \| good
2025-10-24T07:00:00.000Z	22 \| good	3.57 \| good	15.914 \| good	17.665 \| good	2.921 \| good	7.071 \| good	0.175 \| good
2025-10-24T08:00:00.000Z	22 \| good	3.952 \| good	17.188 \| good	15.036 \| good	2.902 \| good	6.848 \| good	0.173 \| good
2025-10-24T09:00:00.000Z	27 \| good	4.556 \| good	19.818 \| good	12.659 \| good	2.883 \| good	6.624 \| good	0.172 \| good
2025-10-24T10:00:00.000Z	33 \| good	6.444 \| good	28.674 \| good	8.782 \| good	2.925 \| good	7.785 \| good	0.187 \| good
2025-10-24T11:00:00.000Z	38 \| good	7.405 \| good	32.777 \| good	6.657 \| good	2.968 \| good	8.947 \| good	0.203 \| good
2025-10-24T12:00:00.000Z	44 \| good	7.835 \| good	34.271 \| good	8.927 \| good	3.01 \| good	10.108 \| good	0.218 \| good
2025-10-24T13:00:00.000Z	33 \| good	6.351 \| good	28.077 \| good	16.456 \| good	2.905 \| good	8.017 \| good	0.203 \| good
2025-10-24T14:00:00.000Z	23 \| good	3.972 \| good	17.461 \| good	25.191 \| good	2.799 \| good	5.925 \| good	0.188 \| good
2025-10-24T15:00:00.000Z	26 \| good	3.298 \| good	14.462 \| good	27.519 \| good	2.693 \| good	3.833 \| good	0.173 \| good
2025-10-24T16:00:00.000Z	27 \| good	2.455 \| good	10.036 \| good	28.924 \| good	2.406 \| good	3.472 \| good	0.168 \| good
2025-10-24T17:00:00.000Z	29 \| good	1.995 \| good	8.081 \| good	30.573 \| good	2.119 \| good	3.11 \| good	0.164 \| good
2025-10-24T18:00:00.000Z	30 \| good	1.766 \| good	7.489 \| good	32.476 \| good	1.832 \| good	2.749 \| good	0.159 \| good
2025-10-24T19:00:00.000Z	31 \| good	1.528 \| good	6.038 \| good	33.232 \| good	1.658 \| good	2.944 \| good	0.159 \| good
2025-10-24T20:00:00.000Z	31 \| good	1.613 \| good	6.534 \| good	32.666 \| good	1.483 \| good	3.139 \| good	0.159 \| good
2025-10-24T21:00:00.000Z	30 \| good	2.553 \| good	10.481 \| good	31.7 \| good	1.309 \| good	3.335 \| good	0.159 \| good
2025-10-24T22:00:00.000Z	24 \| good	3.96 \| good	17.085 \| good	25.674 \| good	1.365 \| good	6.382 \| good	0.181 \| good
2025-10-24T23:00:00.000Z	27 \| good	4.765 \| good	20.316 \| good	22.584 \| good	1.422 \| good	9.43 \| good	0.202 \| good
2025-10-25T00:00:00.000Z	27 \| good	4.774 \| good	20.635 \| good	20.826 \| good	1.478 \| good	12.478 \| good	0.224 \| good
2025-10-25T01:00:00.000Z	27 \| good	5.233 \| good	22.861 \| good	20.389 \| good	1.527 \| good	12.247 \| good	0.221 \| good
2025-10-25T02:00:00.000Z	33 \| good	5.593 \| good	24.397 \| good	19.07 \| good	1.577 \| good	12.017 \| good	0.219 \| good
2025-10-25T03:00:00.000Z	27 \| good	5.407 \| good	23.371 \| good	20.439 \| good	1.626 \| good	11.786 \| good	0.217 \| good
2025-10-25T04:00:00.000Z	27 \| good	4.766 \| good	20.657 \| good	19.186 \| good	1.624 \| good	10.862 \| good	0.21 \| good
2025-10-25T05:00:00.000Z	22 \| good	4.422 \| good	19.6 \| good	19.893 \| good	1.622 \| good	9.937 \| good	0.204 \| good
2025-10-25T06:00:00.000Z	27 \| good	5.152 \| good	5.236 \| good	14.565 \| good	1.608 \| good	8.929 \| good	0.197 \| good
2025-10-25T07:00:00.000Z	22 \| good	4.387 \| good	19.094 \| good	19.363 \| good	1.646 \| good	8.631 \| good	0.194 \| good
2025-10-25T08:00:00.000Z	22 \| good	4.035 \| good	17.669 \| good	18.631 \| good	1.671 \| good	8.249 \| good	0.19 \| good
2025-10-25T09:00:00.000Z	16 \| good	3.365 \| good	14.393 \| good	15.592 \| good	1.697 \| good	7.867 \| good	0.186 \| good

Real-time air quality index in Lower Gwynedd, Pennsylvania today

Common air pollutants in Lower Gwynedd, Pennsylvania

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Lower Gwynedd, Pennsylvania air quality forecast and history

Empower business decisions with accurate air quality data

Lower Gwynedd, Pennsylvania air quality map: Real-time AQI near you

Air quality in nearby cities

Whitpain, Pennsylvania

Upper Dublin, Pennsylvania

Upper Gwynedd, Pennsylvania

Montgomery Township, Pennsylvania

Whitemarsh, Pennsylvania

East Norriton, 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 Lower Gwynedd, Pennsylvania updated?

When did Lower Gwynedd, Pennsylvania experience the worst air quality in the last 24 hours?

When did Lower Gwynedd, Pennsylvania have its best air quality in the last 24 hours?

What is the real-time air quality index for Lower Gwynedd, Pennsylvania?

Which pollutant is found most often in Lower Gwynedd, Pennsylvania?

What can I do if the air quality in Lower Gwynedd, Pennsylvania is poor?

What are the current PM2.5 levels in Lower Gwynedd, Pennsylvania?

What are the current PM10 levels at Lower Gwynedd, Pennsylvania?

What are the current carbon monoxide (CO) levels at Lower Gwynedd, Pennsylvania?

What are the current sulfur dioxide (SO2) levels at Lower Gwynedd, Pennsylvania?

What are the current ozone (O3) levels at Lower Gwynedd, Pennsylvania?

What are the current nitrogen dioxide (NO2) levels at Lower Gwynedd, 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 Lower Gwynedd, Pennsylvania?

What are the current PM₁₀ levels at Lower Gwynedd, Pennsylvania?

What are the current sulfur dioxide (SO₂) levels at Lower Gwynedd, Pennsylvania?

What are the current ozone (O₃) levels at Lower Gwynedd, Pennsylvania?

What are the current nitrogen dioxide (NO₂) levels at Lower Gwynedd, Pennsylvania?