What is the current level of PM10 in Upper Gwynedd, Pennsylvania?

Upper Gwynedd, Pennsylvania currently has a PM10 concentration of 16.125 μg/m3.

What is the current level of sulfur dioxide (SO2) in Upper Gwynedd, Pennsylvania?

The current sulfur dioxide (SO2) concentration in Upper Gwynedd, Pennsylvania is 0.257 ppb.

What is the current level of ozone (O3) in Upper Gwynedd, Pennsylvania?

Upper Gwynedd, Pennsylvania currently has an ozone (O3) concentration of 24.694 ppm.

What is the current level of nitrogen dioxide (NO2) in Upper Gwynedd, Pennsylvania?

The current level of nitrogen dioxide (NO2) in Upper Gwynedd, Pennsylvania is 8.449 ppb.

Current air quality index in Upper Gwynedd, Pennsylvania today

Q: What is the PM2.5 concentration in Upper Gwynedd, Pennsylvania right now?

Upper Gwynedd, Pennsylvania currently has a PM2.5 concentration of 3.734 μg/m3.

Stay updated with real-time air quality in Upper 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

Upper Gwynedd, Pennsylvania

Last updated: ... (Local time)

Common air pollutants in Upper Gwynedd, Pennsylvania

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

3.90 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

16.54 μg/m³

155

255

425

605+

Ozone (O₃)

24.61 ppb

201

201+

Sulfur Dioxide (SO₂)

0.29 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

6.91 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.22 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Upper Gwynedd, Pennsylvania

Get Live Pollen Counts

Upper Gwynedd, Pennsylvania

Scroll To Air Quality Map

Track live Upper Gwynedd, Pennsylvania air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-21T09:00:00.000Z	27 \| good	4.843 \| good	18.477 \| good	16.834 \| good	0.257 \| good	8.303 \| good	0.236 \| good
2025-10-21T10:00:00.000Z	22 \| good	4.281 \| good	18.803 \| good	16.696 \| good	0.345 \| good	10.977 \| good	0.281 \| good
2025-10-21T11:00:00.000Z	33 \| good	6.104 \| good	29.488 \| good	9.601 \| good	0.359 \| good	14.194 \| good	0.255 \| good
2025-10-21T12:00:00.000Z	33 \| good	6.149 \| good	25.886 \| good	6.691 \| good	0.475 \| good	17.416 \| good	0.385 \| good
2025-10-21T13:00:00.000Z	27 \| good	5.471 \| good	29.237 \| good	7.257 \| good	0.68 \| good	20.601 \| good	0.462 \| good
2025-10-21T14:00:00.000Z	38 \| good	6.847 \| good	28.131 \| good	8.744 \| good	1.031 \| good	18.988 \| good	0.505 \| good
2025-10-21T15:00:00.000Z	44 \| good	7.592 \| good	30.924 \| good	12.87 \| good	1.252 \| good	14.342 \| good	0.386 \| good
2025-10-21T16:00:00.000Z	38 \| good	7.337 \| good	34.405 \| good	17.112 \| good	0.963 \| good	11.385 \| good	0.325 \| good
2025-10-21T17:00:00.000Z	22 \| good	4.103 \| good	16.606 \| good	23.039 \| good	0.466 \| good	9.982 \| good	0.277 \| good
2025-10-21T18:00:00.000Z	28 \| good	3.97 \| good	18.184 \| good	30.438 \| good	0.393 \| good	8.668 \| good	0.283 \| good
2025-10-21T19:00:00.000Z	33 \| good	3.75 \| good	17.345 \| good	35.913 \| good	0.394 \| good	7.188 \| good	0.25 \| good
2025-10-21T20:00:00.000Z	32 \| good	3.321 \| good	13.391 \| good	35.272 \| good	0.323 \| good	7.048 \| good	0.25 \| good
2025-10-21T21:00:00.000Z	35 \| good	3.5 \| good	12.555 \| good	38.446 \| good	0.309 \| good	6.759 \| good	0.291 \| good
2025-10-21T22:00:00.000Z	36 \| good	4.728 \| good	19.414 \| good	39.116 \| good	0.352 \| good	9.15 \| good	0.291 \| good
2025-10-21T23:00:00.000Z	34 \| good	4.581 \| good	20.014 \| good	36.972 \| good	0.364 \| good	13.518 \| good	0.325 \| good
2025-10-22T00:00:00.000Z	33 \| good	4.676 \| good	21.091 \| good	35.568 \| good	0.362 \| good	8.553 \| good	0.353 \| good
2025-10-22T01:00:00.000Z	33 \| good	5.691 \| good	26.212 \| good	33.55 \| good	0.399 \| good	12.499 \| good	0.353 \| good
2025-10-22T02:00:00.000Z	36 \| good	5.856 \| good	19.857 \| good	38.614 \| good	0.256 \| good	12.187 \| good	0.328 \| good
2025-10-22T03:00:00.000Z	44 \| good	7.556 \| good	32.923 \| good	35.018 \| good	2.038 \| good	7.966 \| good	0.183 \| good
2025-10-22T04:00:00.000Z	29 \| good	5.214 \| good	20.523 \| good	31.371 \| good	0.348 \| good	11.293 \| good	0.322 \| good
2025-10-22T05:00:00.000Z	38 \| good	6.893 \| good	30.9 \| good	29.71 \| good	0.348 \| good	8.147 \| good	0.264 \| good
2025-10-22T06:00:00.000Z	44 \| good	8.269 \| good	27.027 \| good	26.765 \| good	0.301 \| good	10.774 \| good	0.264 \| good
2025-10-22T07:00:00.000Z	33 \| good	6.345 \| good	33.743 \| good	24.565 \| good	0.301 \| good	14.074 \| good	0.264 \| good
2025-10-22T08:00:00.000Z	38 \| good	6.988 \| good	31.079 \| good	21.394 \| good	0.308 \| good	9.872 \| good	0.115 \| good
2025-10-22T09:00:00.000Z	49 \| good	8.657 \| good	41.023 \| good	18.988 \| good	0.302 \| good	11.389 \| good	0.264 \| good
2025-10-22T10:00:00.000Z	49 \| good	8.574 \| good	39.359 \| good	19.856 \| good	0.298 \| good	11.781 \| good	0.292 \| good
2025-10-22T11:00:00.000Z	52 \| moderate	9.89 \| good	41.291 \| good	18.498 \| good	0.147 \| good	12.206 \| good	0.292 \| good
2025-10-22T12:00:00.000Z	49 \| good	8.573 \| good	38.932 \| good	17.408 \| good	0.181 \| good	8.498 \| good	0.316 \| good
2025-10-22T13:00:00.000Z	49 \| good	8.567 \| good	33.708 \| good	21.508 \| good	0.182 \| good	9.898 \| good	0.344 \| good
2025-10-22T14:00:00.000Z	33 \| good	6.439 \| good	21.367 \| good	24.535 \| good	0.364 \| good	5.832 \| good	0.285 \| good
2025-10-22T15:00:00.000Z	27 \| good	5.356 \| good	22.974 \| good	26.012 \| good	0.395 \| good	6.212 \| good	0.285 \| good
2025-10-22T16:00:00.000Z	25 \| good	4.285 \| good	21.074 \| good	26.516 \| good	0.303 \| good	5.087 \| good	0.264 \| good
2025-10-22T17:00:00.000Z	31 \| good	4.401 \| good	32.774 \| good	27.763 \| good	0.288 \| good	3.746 \| good	0.231 \| good
2025-10-22T18:00:00.000Z	29 \| good	2.485 \| good	15.757 \| good	30.782 \| good	0.258 \| good	3.516 \| good	0.195 \| good
2025-10-22T19:00:00.000Z	30 \| good	2.517 \| good	10.883 \| good	31.907 \| good	0.249 \| good	2.96 \| good	0.195 \| good
2025-10-22T20:00:00.000Z	29 \| good	2.742 \| good	11.133 \| good	30.963 \| good	0.276 \| good	4.18 \| good	0.237 \| good
2025-10-22T21:00:00.000Z	28 \| good	3.175 \| good	13.09 \| good	29.57 \| good	0.222 \| good	4.155 \| good	0.209 \| good
2025-10-22T22:00:00.000Z	30 \| good	3.106 \| good	13.373 \| good	31.734 \| good	0.241 \| good	4.113 \| good	0.209 \| good
2025-10-22T23:00:00.000Z	27 \| good	3.301 \| good	12.767 \| good	28.694 \| good	0.237 \| good	6.863 \| good	0.237 \| good
2025-10-23T00:00:00.000Z	25 \| good	2.858 \| good	11.421 \| good	26.917 \| good	0.269 \| good	7.525 \| good	0.262 \| good
2025-10-23T01:00:00.000Z	25 \| good	4.306 \| good	14.022 \| good	26.915 \| good	0.736 \| good	9.317 \| good	0.278 \| good
2025-10-23T02:00:00.000Z	25 \| good	3.878 \| good	16.188 \| good	26.58 \| good	0.254 \| good	9.318 \| good	0.278 \| good
2025-10-23T03:00:00.000Z	23 \| good	4.258 \| good	17.635 \| good	24.895 \| good	0.238 \| good	6.965 \| good	0.203 \| good
2025-10-23T04:00:00.000Z	22 \| good	3.911 \| good	18.061 \| good	22.558 \| good	0.229 \| good	7.39 \| good	0.203 \| good
2025-10-23T05:00:00.000Z	22 \| good	3.831 \| good	16.821 \| good	23.697 \| good	0.197 \| good	8.484 \| good	0.203 \| good
2025-10-23T06:00:00.000Z	22 \| good	3.713 \| good	15.459 \| good	22.02 \| good	0.251 \| good	7.901 \| good	0.203 \| good
2025-10-23T07:00:00.000Z	22 \| good	4.036 \| good	19.403 \| good	19.68 \| good	0.353 \| good	10.135 \| good	0.203 \| good
2025-10-23T08:00:00.000Z	23 \| good	3.904 \| good	16.537 \| good	24.61 \| good	0.288 \| good	6.907 \| good	0.22 \| good
2025-10-23T02:00:00.000Z	38 \| good	7.44 \| good	32.912 \| good	21.344 \| good	1.697 \| good	8.336 \| good	0.178 \| good
2025-10-23T03:00:00.000Z	38 \| good	6.587 \| good	29.026 \| good	24.72 \| good	1.722 \| good	8.588 \| good	0.178 \| good
2025-10-23T04:00:00.000Z	33 \| good	5.506 \| good	23.932 \| good	25.066 \| good	1.787 \| good	7.777 \| good	0.173 \| good
2025-10-23T05:00:00.000Z	27 \| good	4.908 \| good	21.046 \| good	23.565 \| good	1.852 \| good	6.966 \| good	0.167 \| good
2025-10-23T06:00:00.000Z	27 \| good	4.934 \| good	21.076 \| good	20.328 \| good	1.917 \| good	6.155 \| good	0.161 \| good
2025-10-23T07:00:00.000Z	27 \| good	5.343 \| good	23.021 \| good	20.083 \| good	2.09 \| good	5.86 \| good	0.159 \| good
2025-10-23T08:00:00.000Z	27 \| good	5.384 \| good	23.04 \| good	22.463 \| good	2.263 \| good	5.566 \| good	0.157 \| good
2025-10-23T09:00:00.000Z	27 \| good	5.204 \| good	22.93 \| good	19.816 \| good	2.437 \| good	5.271 \| good	0.155 \| good
2025-10-23T10:00:00.000Z	27 \| good	5.46 \| good	23.018 \| good	18.736 \| good	2.483 \| good	6.155 \| good	0.163 \| good
2025-10-23T11:00:00.000Z	33 \| good	5.769 \| good	24.991 \| good	16.722 \| good	2.53 \| good	7.039 \| good	0.171 \| good
2025-10-23T12:00:00.000Z	27 \| good	5.351 \| good	22.959 \| good	18.675 \| good	2.576 \| good	7.922 \| good	0.18 \| good
2025-10-23T13:00:00.000Z	22 \| good	3.997 \| good	17.108 \| good	23.18 \| good	2.532 \| good	6.492 \| good	0.172 \| good
2025-10-23T14:00:00.000Z	27 \| good	1.904 \| good	8.007 \| good	28.838 \| good	2.487 \| good	5.062 \| good	0.164 \| good
2025-10-23T15:00:00.000Z	27 \| good	1.352 \| good	5.102 \| good	28.953 \| good	2.443 \| good	3.631 \| good	0.155 \| good
2025-10-23T16:00:00.000Z	27 \| good	1.771 \| good	7.111 \| good	29.368 \| good	2.17 \| good	3.199 \| good	0.15 \| good
2025-10-23T17:00:00.000Z	28 \| good	2.06 \| good	8.102 \| good	29.913 \| good	1.898 \| good	2.767 \| good	0.145 \| good
2025-10-23T18:00:00.000Z	26 \| good	2.096 \| good	8.091 \| good	27.588 \| good	1.625 \| good	2.335 \| good	0.14 \| good
2025-10-23T19:00:00.000Z	27 \| good	2.584 \| good	10.069 \| good	28.791 \| good	1.642 \| good	2.646 \| good	0.141 \| good
2025-10-23T20:00:00.000Z	28 \| good	2.193 \| good	9.035 \| good	29.519 \| good	1.659 \| good	2.956 \| good	0.143 \| good
2025-10-23T21:00:00.000Z	28 \| good	2.115 \| good	8.963 \| good	29.785 \| good	1.676 \| good	3.267 \| good	0.144 \| good
2025-10-23T22:00:00.000Z	26 \| good	0.992 \| good	4.029 \| good	28.303 \| good	1.8 \| good	5.688 \| good	0.163 \| good
2025-10-23T23:00:00.000Z	25 \| good	0.831 \| good	3.067 \| good	27.1 \| good	1.923 \| good	8.109 \| good	0.181 \| good
2025-10-24T00:00:00.000Z	27 \| good	2.287 \| good	9.104 \| good	28.503 \| good	2.046 \| good	10.53 \| good	0.199 \| good
2025-10-24T01:00:00.000Z	23 \| good	3.771 \| good	16.163 \| good	24.655 \| good	2.201 \| good	9.981 \| good	0.197 \| good
2025-10-24T02:00:00.000Z	27 \| good	5.021 \| good	22.052 \| good	21.194 \| good	2.355 \| good	9.433 \| good	0.195 \| good
2025-10-24T03:00:00.000Z	27 \| good	5.444 \| good	23.226 \| good	20.459 \| good	2.51 \| good	8.885 \| good	0.192 \| good
2025-10-24T04:00:00.000Z	27 \| good	4.682 \| good	20.093 \| good	19.343 \| good	2.548 \| good	8.003 \| good	0.186 \| good
2025-10-24T05:00:00.000Z	22 \| good	4.342 \| good	19.015 \| good	17.255 \| good	2.586 \| good	7.12 \| good	0.18 \| good
2025-10-24T06:00:00.000Z	27 \| good	5.024 \| good	21.983 \| good	14.416 \| good	2.624 \| good	6.238 \| good	0.173 \| good
2025-10-24T07:00:00.000Z	33 \| good	6.161 \| good	27.087 \| good	10.636 \| good	2.643 \| good	6.089 \| good	0.171 \| good
2025-10-24T08:00:00.000Z	38 \| good	7.119 \| good	31.875 \| good	9.443 \| good	2.662 \| good	5.94 \| good	0.169 \| good
2025-10-24T09:00:00.000Z	38 \| good	7.353 \| good	32.102 \| good	10.055 \| good	2.681 \| good	5.791 \| good	0.167 \| good
2025-10-24T10:00:00.000Z	44 \| good	7.625 \| good	33.912 \| good	7.47 \| good	2.811 \| good	7.027 \| good	0.182 \| good
2025-10-24T11:00:00.000Z	38 \| good	7.092 \| good	31.131 \| good	6.219 \| good	2.942 \| good	8.263 \| good	0.196 \| good
2025-10-24T12:00:00.000Z	38 \| good	6.653 \| good	29.987 \| good	7.283 \| good	3.073 \| good	9.499 \| good	0.211 \| good
2025-10-24T13:00:00.000Z	33 \| good	5.982 \| good	26.943 \| good	13.651 \| good	3.074 \| good	7.65 \| good	0.201 \| good
2025-10-24T14:00:00.000Z	22 \| good	4.025 \| good	17.955 \| good	23.104 \| good	3.075 \| good	5.802 \| good	0.191 \| good
2025-10-24T15:00:00.000Z	27 \| good	4.334 \| good	19 \| good	28.66 \| good	3.076 \| good	3.953 \| good	0.181 \| good
2025-10-24T16:00:00.000Z	28 \| good	4.612 \| good	20.033 \| good	30.222 \| good	2.648 \| good	3.449 \| good	0.173 \| good
2025-10-24T17:00:00.000Z	29 \| good	3.328 \| good	14.924 \| good	30.938 \| good	2.219 \| good	2.946 \| good	0.165 \| good
2025-10-24T18:00:00.000Z	29 \| good	1.735 \| good	7.107 \| good	31.113 \| good	1.791 \| good	2.442 \| good	0.157 \| good
2025-10-24T19:00:00.000Z	29 \| good	2.053 \| good	8.062 \| good	31.207 \| good	1.572 \| good	2.585 \| good	0.155 \| good
2025-10-24T20:00:00.000Z	31 \| good	1.988 \| good	8.047 \| good	33.283 \| good	1.354 \| good	2.728 \| good	0.153 \| good
2025-10-24T21:00:00.000Z	30 \| good	1.612 \| good	6.961 \| good	32.431 \| good	1.136 \| good	2.871 \| good	0.151 \| good
2025-10-24T22:00:00.000Z	27 \| good	2.093 \| good	8.145 \| good	28.759 \| good	1.201 \| good	6.048 \| good	0.174 \| good
2025-10-24T23:00:00.000Z	26 \| good	3.176 \| good	14.033 \| good	27.95 \| good	1.266 \| good	9.225 \| good	0.198 \| good
2025-10-25T00:00:00.000Z	33 \| good	6.236 \| good	6.239 \| good	16.358 \| good	1.333 \| good	12.468 \| good	0.221 \| good
2025-10-25T01:00:00.000Z	27 \| good	4.229 \| good	18.964 \| good	28.536 \| good	1.429 \| good	12.388 \| good	0.221 \| good

Upper Gwynedd

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Real-time air quality map: Monitor AQI near Upper Gwynedd, Pennsylvania

0.28ppm

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 Upper Gwynedd, Pennsylvania get updated?

Air quality updates for Upper Gwynedd, Pennsylvania are available every hour.

What time in the past 24 hours saw the poorest air quality in Upper Gwynedd, Pennsylvania?

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

When was air quality in Upper Gwynedd, Pennsylvania the best over the past 24 hours?

The best air quality in Upper Gwynedd, Pennsylvania was observed at 12:00:00 on 2025-10-23.

What is the air quality in Upper Gwynedd, Pennsylvania right now?

The air quality in Upper Gwynedd, Pennsylvania right now is Good, with an AQI of 23.

What pollutant is most frequently found in Upper Gwynedd, Pennsylvania?

In Upper Gwynedd, Pennsylvania, O3 is the most frequently found pollutant.

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

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

What is the PM_2.5 concentration in Upper Gwynedd, Pennsylvania right now?

Upper Gwynedd, Pennsylvania currently has a PM_2.5 concentration of 3.734 μg/m³.

What is the current level of PM₁₀ in Upper Gwynedd, Pennsylvania?

Upper Gwynedd, Pennsylvania currently has a PM₁₀ concentration of 16.125 μg/m³.

What is the current level of carbon monoxide (CO) in Upper Gwynedd, Pennsylvania?

The current carbon monoxide (CO) level in Upper Gwynedd, Pennsylvania is 0.276 ppm.

What is the current level of sulfur dioxide (SO₂) in Upper Gwynedd, Pennsylvania?

The current sulfur dioxide (SO₂) concentration in Upper Gwynedd, Pennsylvania is 0.257 ppb.

What is the current level of ozone (O₃) in Upper Gwynedd, Pennsylvania?

Upper Gwynedd, Pennsylvania currently has an ozone (O₃) concentration of 24.694 ppm.

What is the current level of nitrogen dioxide (NO₂) in Upper Gwynedd, Pennsylvania?

The current level of nitrogen dioxide (NO₂) in Upper Gwynedd, Pennsylvania is 8.449 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-21T09:00:00.000Z	27 \| good	4.843 \| good	18.477 \| good	16.834 \| good	0.257 \| good	8.303 \| good	0.236 \| good
2025-10-21T10:00:00.000Z	22 \| good	4.281 \| good	18.803 \| good	16.696 \| good	0.345 \| good	10.977 \| good	0.281 \| good
2025-10-21T11:00:00.000Z	33 \| good	6.104 \| good	29.488 \| good	9.601 \| good	0.359 \| good	14.194 \| good	0.255 \| good
2025-10-21T12:00:00.000Z	33 \| good	6.149 \| good	25.886 \| good	6.691 \| good	0.475 \| good	17.416 \| good	0.385 \| good
2025-10-21T13:00:00.000Z	27 \| good	5.471 \| good	29.237 \| good	7.257 \| good	0.68 \| good	20.601 \| good	0.462 \| good
2025-10-21T14:00:00.000Z	38 \| good	6.847 \| good	28.131 \| good	8.744 \| good	1.031 \| good	18.988 \| good	0.505 \| good
2025-10-21T15:00:00.000Z	44 \| good	7.592 \| good	30.924 \| good	12.87 \| good	1.252 \| good	14.342 \| good	0.386 \| good
2025-10-21T16:00:00.000Z	38 \| good	7.337 \| good	34.405 \| good	17.112 \| good	0.963 \| good	11.385 \| good	0.325 \| good
2025-10-21T17:00:00.000Z	22 \| good	4.103 \| good	16.606 \| good	23.039 \| good	0.466 \| good	9.982 \| good	0.277 \| good
2025-10-21T18:00:00.000Z	28 \| good	3.97 \| good	18.184 \| good	30.438 \| good	0.393 \| good	8.668 \| good	0.283 \| good
2025-10-21T19:00:00.000Z	33 \| good	3.75 \| good	17.345 \| good	35.913 \| good	0.394 \| good	7.188 \| good	0.25 \| good
2025-10-21T20:00:00.000Z	32 \| good	3.321 \| good	13.391 \| good	35.272 \| good	0.323 \| good	7.048 \| good	0.25 \| good
2025-10-21T21:00:00.000Z	35 \| good	3.5 \| good	12.555 \| good	38.446 \| good	0.309 \| good	6.759 \| good	0.291 \| good
2025-10-21T22:00:00.000Z	36 \| good	4.728 \| good	19.414 \| good	39.116 \| good	0.352 \| good	9.15 \| good	0.291 \| good
2025-10-21T23:00:00.000Z	34 \| good	4.581 \| good	20.014 \| good	36.972 \| good	0.364 \| good	13.518 \| good	0.325 \| good
2025-10-22T00:00:00.000Z	33 \| good	4.676 \| good	21.091 \| good	35.568 \| good	0.362 \| good	8.553 \| good	0.353 \| good
2025-10-22T01:00:00.000Z	33 \| good	5.691 \| good	26.212 \| good	33.55 \| good	0.399 \| good	12.499 \| good	0.353 \| good
2025-10-22T02:00:00.000Z	36 \| good	5.856 \| good	19.857 \| good	38.614 \| good	0.256 \| good	12.187 \| good	0.328 \| good
2025-10-22T03:00:00.000Z	44 \| good	7.556 \| good	32.923 \| good	35.018 \| good	2.038 \| good	7.966 \| good	0.183 \| good
2025-10-22T04:00:00.000Z	29 \| good	5.214 \| good	20.523 \| good	31.371 \| good	0.348 \| good	11.293 \| good	0.322 \| good
2025-10-22T05:00:00.000Z	38 \| good	6.893 \| good	30.9 \| good	29.71 \| good	0.348 \| good	8.147 \| good	0.264 \| good
2025-10-22T06:00:00.000Z	44 \| good	8.269 \| good	27.027 \| good	26.765 \| good	0.301 \| good	10.774 \| good	0.264 \| good
2025-10-22T07:00:00.000Z	33 \| good	6.345 \| good	33.743 \| good	24.565 \| good	0.301 \| good	14.074 \| good	0.264 \| good
2025-10-22T08:00:00.000Z	38 \| good	6.988 \| good	31.079 \| good	21.394 \| good	0.308 \| good	9.872 \| good	0.115 \| good
2025-10-22T09:00:00.000Z	49 \| good	8.657 \| good	41.023 \| good	18.988 \| good	0.302 \| good	11.389 \| good	0.264 \| good
2025-10-22T10:00:00.000Z	49 \| good	8.574 \| good	39.359 \| good	19.856 \| good	0.298 \| good	11.781 \| good	0.292 \| good
2025-10-22T11:00:00.000Z	52 \| moderate	9.89 \| good	41.291 \| good	18.498 \| good	0.147 \| good	12.206 \| good	0.292 \| good
2025-10-22T12:00:00.000Z	49 \| good	8.573 \| good	38.932 \| good	17.408 \| good	0.181 \| good	8.498 \| good	0.316 \| good
2025-10-22T13:00:00.000Z	49 \| good	8.567 \| good	33.708 \| good	21.508 \| good	0.182 \| good	9.898 \| good	0.344 \| good
2025-10-22T14:00:00.000Z	33 \| good	6.439 \| good	21.367 \| good	24.535 \| good	0.364 \| good	5.832 \| good	0.285 \| good
2025-10-22T15:00:00.000Z	27 \| good	5.356 \| good	22.974 \| good	26.012 \| good	0.395 \| good	6.212 \| good	0.285 \| good
2025-10-22T16:00:00.000Z	25 \| good	4.285 \| good	21.074 \| good	26.516 \| good	0.303 \| good	5.087 \| good	0.264 \| good
2025-10-22T17:00:00.000Z	31 \| good	4.401 \| good	32.774 \| good	27.763 \| good	0.288 \| good	3.746 \| good	0.231 \| good
2025-10-22T18:00:00.000Z	29 \| good	2.485 \| good	15.757 \| good	30.782 \| good	0.258 \| good	3.516 \| good	0.195 \| good
2025-10-22T19:00:00.000Z	30 \| good	2.517 \| good	10.883 \| good	31.907 \| good	0.249 \| good	2.96 \| good	0.195 \| good
2025-10-22T20:00:00.000Z	29 \| good	2.742 \| good	11.133 \| good	30.963 \| good	0.276 \| good	4.18 \| good	0.237 \| good
2025-10-22T21:00:00.000Z	28 \| good	3.175 \| good	13.09 \| good	29.57 \| good	0.222 \| good	4.155 \| good	0.209 \| good
2025-10-22T22:00:00.000Z	30 \| good	3.106 \| good	13.373 \| good	31.734 \| good	0.241 \| good	4.113 \| good	0.209 \| good
2025-10-22T23:00:00.000Z	27 \| good	3.301 \| good	12.767 \| good	28.694 \| good	0.237 \| good	6.863 \| good	0.237 \| good
2025-10-23T00:00:00.000Z	25 \| good	2.858 \| good	11.421 \| good	26.917 \| good	0.269 \| good	7.525 \| good	0.262 \| good
2025-10-23T01:00:00.000Z	25 \| good	4.306 \| good	14.022 \| good	26.915 \| good	0.736 \| good	9.317 \| good	0.278 \| good
2025-10-23T02:00:00.000Z	25 \| good	3.878 \| good	16.188 \| good	26.58 \| good	0.254 \| good	9.318 \| good	0.278 \| good
2025-10-23T03:00:00.000Z	23 \| good	4.258 \| good	17.635 \| good	24.895 \| good	0.238 \| good	6.965 \| good	0.203 \| good
2025-10-23T04:00:00.000Z	22 \| good	3.911 \| good	18.061 \| good	22.558 \| good	0.229 \| good	7.39 \| good	0.203 \| good
2025-10-23T05:00:00.000Z	22 \| good	3.831 \| good	16.821 \| good	23.697 \| good	0.197 \| good	8.484 \| good	0.203 \| good
2025-10-23T06:00:00.000Z	22 \| good	3.713 \| good	15.459 \| good	22.02 \| good	0.251 \| good	7.901 \| good	0.203 \| good
2025-10-23T07:00:00.000Z	22 \| good	4.036 \| good	19.403 \| good	19.68 \| good	0.353 \| good	10.135 \| good	0.203 \| good
2025-10-23T08:00:00.000Z	23 \| good	3.904 \| good	16.537 \| good	24.61 \| good	0.288 \| good	6.907 \| good	0.22 \| good
2025-10-23T02:00:00.000Z	38 \| good	7.44 \| good	32.912 \| good	21.344 \| good	1.697 \| good	8.336 \| good	0.178 \| good
2025-10-23T03:00:00.000Z	38 \| good	6.587 \| good	29.026 \| good	24.72 \| good	1.722 \| good	8.588 \| good	0.178 \| good
2025-10-23T04:00:00.000Z	33 \| good	5.506 \| good	23.932 \| good	25.066 \| good	1.787 \| good	7.777 \| good	0.173 \| good
2025-10-23T05:00:00.000Z	27 \| good	4.908 \| good	21.046 \| good	23.565 \| good	1.852 \| good	6.966 \| good	0.167 \| good
2025-10-23T06:00:00.000Z	27 \| good	4.934 \| good	21.076 \| good	20.328 \| good	1.917 \| good	6.155 \| good	0.161 \| good
2025-10-23T07:00:00.000Z	27 \| good	5.343 \| good	23.021 \| good	20.083 \| good	2.09 \| good	5.86 \| good	0.159 \| good
2025-10-23T08:00:00.000Z	27 \| good	5.384 \| good	23.04 \| good	22.463 \| good	2.263 \| good	5.566 \| good	0.157 \| good
2025-10-23T09:00:00.000Z	27 \| good	5.204 \| good	22.93 \| good	19.816 \| good	2.437 \| good	5.271 \| good	0.155 \| good
2025-10-23T10:00:00.000Z	27 \| good	5.46 \| good	23.018 \| good	18.736 \| good	2.483 \| good	6.155 \| good	0.163 \| good
2025-10-23T11:00:00.000Z	33 \| good	5.769 \| good	24.991 \| good	16.722 \| good	2.53 \| good	7.039 \| good	0.171 \| good
2025-10-23T12:00:00.000Z	27 \| good	5.351 \| good	22.959 \| good	18.675 \| good	2.576 \| good	7.922 \| good	0.18 \| good
2025-10-23T13:00:00.000Z	22 \| good	3.997 \| good	17.108 \| good	23.18 \| good	2.532 \| good	6.492 \| good	0.172 \| good
2025-10-23T14:00:00.000Z	27 \| good	1.904 \| good	8.007 \| good	28.838 \| good	2.487 \| good	5.062 \| good	0.164 \| good
2025-10-23T15:00:00.000Z	27 \| good	1.352 \| good	5.102 \| good	28.953 \| good	2.443 \| good	3.631 \| good	0.155 \| good
2025-10-23T16:00:00.000Z	27 \| good	1.771 \| good	7.111 \| good	29.368 \| good	2.17 \| good	3.199 \| good	0.15 \| good
2025-10-23T17:00:00.000Z	28 \| good	2.06 \| good	8.102 \| good	29.913 \| good	1.898 \| good	2.767 \| good	0.145 \| good
2025-10-23T18:00:00.000Z	26 \| good	2.096 \| good	8.091 \| good	27.588 \| good	1.625 \| good	2.335 \| good	0.14 \| good
2025-10-23T19:00:00.000Z	27 \| good	2.584 \| good	10.069 \| good	28.791 \| good	1.642 \| good	2.646 \| good	0.141 \| good
2025-10-23T20:00:00.000Z	28 \| good	2.193 \| good	9.035 \| good	29.519 \| good	1.659 \| good	2.956 \| good	0.143 \| good
2025-10-23T21:00:00.000Z	28 \| good	2.115 \| good	8.963 \| good	29.785 \| good	1.676 \| good	3.267 \| good	0.144 \| good
2025-10-23T22:00:00.000Z	26 \| good	0.992 \| good	4.029 \| good	28.303 \| good	1.8 \| good	5.688 \| good	0.163 \| good
2025-10-23T23:00:00.000Z	25 \| good	0.831 \| good	3.067 \| good	27.1 \| good	1.923 \| good	8.109 \| good	0.181 \| good
2025-10-24T00:00:00.000Z	27 \| good	2.287 \| good	9.104 \| good	28.503 \| good	2.046 \| good	10.53 \| good	0.199 \| good
2025-10-24T01:00:00.000Z	23 \| good	3.771 \| good	16.163 \| good	24.655 \| good	2.201 \| good	9.981 \| good	0.197 \| good
2025-10-24T02:00:00.000Z	27 \| good	5.021 \| good	22.052 \| good	21.194 \| good	2.355 \| good	9.433 \| good	0.195 \| good
2025-10-24T03:00:00.000Z	27 \| good	5.444 \| good	23.226 \| good	20.459 \| good	2.51 \| good	8.885 \| good	0.192 \| good
2025-10-24T04:00:00.000Z	27 \| good	4.682 \| good	20.093 \| good	19.343 \| good	2.548 \| good	8.003 \| good	0.186 \| good
2025-10-24T05:00:00.000Z	22 \| good	4.342 \| good	19.015 \| good	17.255 \| good	2.586 \| good	7.12 \| good	0.18 \| good
2025-10-24T06:00:00.000Z	27 \| good	5.024 \| good	21.983 \| good	14.416 \| good	2.624 \| good	6.238 \| good	0.173 \| good
2025-10-24T07:00:00.000Z	33 \| good	6.161 \| good	27.087 \| good	10.636 \| good	2.643 \| good	6.089 \| good	0.171 \| good
2025-10-24T08:00:00.000Z	38 \| good	7.119 \| good	31.875 \| good	9.443 \| good	2.662 \| good	5.94 \| good	0.169 \| good
2025-10-24T09:00:00.000Z	38 \| good	7.353 \| good	32.102 \| good	10.055 \| good	2.681 \| good	5.791 \| good	0.167 \| good
2025-10-24T10:00:00.000Z	44 \| good	7.625 \| good	33.912 \| good	7.47 \| good	2.811 \| good	7.027 \| good	0.182 \| good
2025-10-24T11:00:00.000Z	38 \| good	7.092 \| good	31.131 \| good	6.219 \| good	2.942 \| good	8.263 \| good	0.196 \| good
2025-10-24T12:00:00.000Z	38 \| good	6.653 \| good	29.987 \| good	7.283 \| good	3.073 \| good	9.499 \| good	0.211 \| good
2025-10-24T13:00:00.000Z	33 \| good	5.982 \| good	26.943 \| good	13.651 \| good	3.074 \| good	7.65 \| good	0.201 \| good
2025-10-24T14:00:00.000Z	22 \| good	4.025 \| good	17.955 \| good	23.104 \| good	3.075 \| good	5.802 \| good	0.191 \| good
2025-10-24T15:00:00.000Z	27 \| good	4.334 \| good	19 \| good	28.66 \| good	3.076 \| good	3.953 \| good	0.181 \| good
2025-10-24T16:00:00.000Z	28 \| good	4.612 \| good	20.033 \| good	30.222 \| good	2.648 \| good	3.449 \| good	0.173 \| good
2025-10-24T17:00:00.000Z	29 \| good	3.328 \| good	14.924 \| good	30.938 \| good	2.219 \| good	2.946 \| good	0.165 \| good
2025-10-24T18:00:00.000Z	29 \| good	1.735 \| good	7.107 \| good	31.113 \| good	1.791 \| good	2.442 \| good	0.157 \| good
2025-10-24T19:00:00.000Z	29 \| good	2.053 \| good	8.062 \| good	31.207 \| good	1.572 \| good	2.585 \| good	0.155 \| good
2025-10-24T20:00:00.000Z	31 \| good	1.988 \| good	8.047 \| good	33.283 \| good	1.354 \| good	2.728 \| good	0.153 \| good
2025-10-24T21:00:00.000Z	30 \| good	1.612 \| good	6.961 \| good	32.431 \| good	1.136 \| good	2.871 \| good	0.151 \| good
2025-10-24T22:00:00.000Z	27 \| good	2.093 \| good	8.145 \| good	28.759 \| good	1.201 \| good	6.048 \| good	0.174 \| good
2025-10-24T23:00:00.000Z	26 \| good	3.176 \| good	14.033 \| good	27.95 \| good	1.266 \| good	9.225 \| good	0.198 \| good
2025-10-25T00:00:00.000Z	33 \| good	6.236 \| good	6.239 \| good	16.358 \| good	1.333 \| good	12.468 \| good	0.221 \| good
2025-10-25T01:00:00.000Z	27 \| good	4.229 \| good	18.964 \| good	28.536 \| good	1.429 \| good	12.388 \| good	0.221 \| good

Current air quality index in Upper Gwynedd, Pennsylvania today

Common air pollutants in Upper Gwynedd, Pennsylvania

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Upper Gwynedd, Pennsylvania air quality forecast and history

Empower business decisions with accurate air quality data

Real-time air quality map: Monitor AQI near Upper Gwynedd, Pennsylvania

Air quality in nearby cities

Lansdale, Pennsylvania

Towamencin, Pennsylvania

Montgomery Township, Pennsylvania

Worcester, Pennsylvania

Whitpain, 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 Upper Gwynedd, Pennsylvania get updated?

What time in the past 24 hours saw the poorest air quality in Upper Gwynedd, Pennsylvania?

When was air quality in Upper Gwynedd, Pennsylvania the best over the past 24 hours?

What is the air quality in Upper Gwynedd, Pennsylvania right now?

What pollutant is most frequently found in Upper Gwynedd, Pennsylvania?

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

What is the PM2.5 concentration in Upper Gwynedd, Pennsylvania right now?

What is the current level of PM10 in Upper Gwynedd, Pennsylvania?

What is the current level of carbon monoxide (CO) in Upper Gwynedd, Pennsylvania?

What is the current level of sulfur dioxide (SO2) in Upper Gwynedd, Pennsylvania?

What is the current level of ozone (O3) in Upper Gwynedd, Pennsylvania?

What is the current level of nitrogen dioxide (NO2) in Upper Gwynedd, 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 Upper Gwynedd, Pennsylvania right now?

What is the current level of PM₁₀ in Upper Gwynedd, Pennsylvania?

What is the current level of sulfur dioxide (SO₂) in Upper Gwynedd, Pennsylvania?

What is the current level of ozone (O₃) in Upper Gwynedd, Pennsylvania?

What is the current level of nitrogen dioxide (NO₂) in Upper Gwynedd, Pennsylvania?