What are the current PM10 levels at Norristown, Pennsylvania?

The current PM10 levels in Norristown, Pennsylvania are 16.942 μg/m3.

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

The current sulfur dioxide (SO2) levels in Norristown, Pennsylvania are 0.275 ppb.

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

The current ozone (O3) levels at Norristown, Pennsylvania is 25.833 ppm.

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

The current nitrogen dioxide (NO2) levels at Norristown, Pennsylvania is 7.617 ppb.

Real-time air quality index in Norristown, Pennsylvania today

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

The measured PM2.5 levels in Norristown, Pennsylvania at present are 3.887 μg/m3.

Stay updated with real-time air quality in Norristown, 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

Norristown, Pennsylvania

Last updated: ... (Local time)

Common air pollutants in Norristown, Pennsylvania

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

3.62 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

16.05 μg/m³

155

255

425

605+

Ozone (O₃)

24.99 ppb

201

201+

Sulfur Dioxide (SO₂)

0.24 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

13.56 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.21 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Norristown, Pennsylvania

Get Live Pollen Counts

Norristown, Pennsylvania

Scroll To Air Quality Map

Track live Norristown, Pennsylvania air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-21T06:00:00.000Z	27 \| good	5.283 \| good	22.803 \| good	17.199 \| good	0.258 \| good	8.039 \| good	0.207 \| good
2025-10-21T07:00:00.000Z	27 \| good	4.899 \| good	20.901 \| good	17.065 \| good	0.223 \| good	8.866 \| good	0.257 \| good
2025-10-21T08:00:00.000Z	27 \| good	4.704 \| good	20.901 \| good	16.974 \| good	0.264 \| good	8.094 \| good	0.247 \| good
2025-10-21T09:00:00.000Z	27 \| good	4.518 \| good	19.981 \| good	16.83 \| good	0.263 \| good	7.664 \| good	0.243 \| good
2025-10-21T10:00:00.000Z	27 \| good	4.63 \| good	19.999 \| good	14.833 \| good	0.328 \| good	12.024 \| good	0.28 \| good
2025-10-21T11:00:00.000Z	33 \| good	5.682 \| good	24.814 \| good	10.03 \| good	0.358 \| good	17.613 \| good	0.262 \| good
2025-10-21T12:00:00.000Z	33 \| good	5.883 \| good	26.781 \| good	7.99 \| good	0.521 \| good	19.277 \| good	0.38 \| good
2025-10-21T13:00:00.000Z	33 \| good	6.489 \| good	28.846 \| good	7.995 \| good	0.734 \| good	20.663 \| good	0.459 \| good
2025-10-21T14:00:00.000Z	44 \| good	7.78 \| good	33.83 \| good	7.069 \| good	1.098 \| good	19.698 \| good	0.515 \| good
2025-10-21T15:00:00.000Z	38 \| good	6.682 \| good	30.22 \| good	17.713 \| good	1.339 \| good	16.633 \| good	0.404 \| good
2025-10-21T16:00:00.000Z	27 \| good	5.313 \| good	23.412 \| good	17.938 \| good	1.055 \| good	12.684 \| good	0.337 \| good
2025-10-21T17:00:00.000Z	22 \| good	4.487 \| good	19.375 \| good	23.94 \| good	0.482 \| good	10.195 \| good	0.296 \| good
2025-10-21T18:00:00.000Z	27 \| good	3.961 \| good	17.243 \| good	29.071 \| good	0.421 \| good	9.949 \| good	0.3 \| good
2025-10-21T19:00:00.000Z	33 \| good	3.451 \| good	15.206 \| good	35.966 \| good	0.42 \| good	7.507 \| good	0.26 \| good
2025-10-21T20:00:00.000Z	34 \| good	3.532 \| good	16.11 \| good	37.027 \| good	0.338 \| good	7.083 \| good	0.26 \| good
2025-10-21T21:00:00.000Z	37 \| good	3.724 \| good	16.111 \| good	39.926 \| good	0.327 \| good	7.19 \| good	0.305 \| good
2025-10-21T22:00:00.000Z	35 \| good	4.028 \| good	18.102 \| good	38.009 \| good	0.379 \| good	7.65 \| good	0.305 \| good
2025-10-21T23:00:00.000Z	31 \| good	4.222 \| good	19.056 \| good	34.169 \| good	0.389 \| good	10.043 \| good	0.345 \| good
2025-10-22T00:00:00.000Z	29 \| good	4.607 \| good	20.005 \| good	31.187 \| good	0.386 \| good	8.188 \| good	0.372 \| good
2025-10-22T01:00:00.000Z	28 \| good	4.71 \| good	20.996 \| good	30.235 \| good	0.426 \| good	10.742 \| good	0.372 \| good
2025-10-22T02:00:00.000Z	27 \| good	4.732 \| good	21.069 \| good	27.416 \| good	0.27 \| good	9.969 \| good	0.353 \| good
2025-10-22T03:00:00.000Z	38 \| good	6.759 \| good	29.864 \| good	37.934 \| good	1.912 \| good	7.479 \| good	0.177 \| good
2025-10-22T04:00:00.000Z	33 \| good	5.742 \| good	25.124 \| good	23.495 \| good	0.369 \| good	9.678 \| good	0.341 \| good
2025-10-22T05:00:00.000Z	33 \| good	6.039 \| good	27.045 \| good	20.384 \| good	0.358 \| good	6.874 \| good	0.279 \| good
2025-10-22T06:00:00.000Z	38 \| good	6.539 \| good	29.055 \| good	24.098 \| good	0.311 \| good	10.11 \| good	0.279 \| good
2025-10-22T07:00:00.000Z	38 \| good	6.761 \| good	30.122 \| good	24.018 \| good	0.311 \| good	16.085 \| good	0.279 \| good
2025-10-22T08:00:00.000Z	38 \| good	7.141 \| good	32.007 \| good	16.444 \| good	0.316 \| good	9.932 \| good	0.113 \| good
2025-10-22T09:00:00.000Z	44 \| good	8.384 \| good	36.796 \| good	16.309 \| good	0.311 \| good	9.318 \| good	0.279 \| good
2025-10-22T10:00:00.000Z	49 \| good	8.975 \| good	40.697 \| good	16.151 \| good	0.324 \| good	11.888 \| good	0.298 \| good
2025-10-22T11:00:00.000Z	49 \| good	9.111 \| good	40.866 \| good	18.134 \| good	0.144 \| good	13.219 \| good	0.298 \| good
2025-10-22T12:00:00.000Z	44 \| good	8.248 \| good	36.061 \| good	20.928 \| good	0.178 \| good	10.244 \| good	0.321 \| good
2025-10-22T13:00:00.000Z	44 \| good	7.543 \| good	33.046 \| good	22.875 \| good	0.18 \| good	10.515 \| good	0.348 \| good
2025-10-22T14:00:00.000Z	33 \| good	5.711 \| good	24.955 \| good	26.824 \| good	0.381 \| good	6.678 \| good	0.293 \| good
2025-10-22T15:00:00.000Z	33 \| good	5.711 \| good	24.955 \| good	26.864 \| good	0.404 \| good	6.796 \| good	0.293 \| good
2025-10-22T16:00:00.000Z	33 \| good	5.661 \| good	24.766 \| good	26.983 \| good	0.312 \| good	5.276 \| good	0.279 \| good
2025-10-22T17:00:00.000Z	30 \| good	3.145 \| good	11.495 \| good	31.9 \| good	0.31 \| good	3.913 \| good	0.239 \| good
2025-10-22T18:00:00.000Z	31 \| good	2.351 \| good	10.224 \| good	32.877 \| good	0.267 \| good	3.685 \| good	0.207 \| good
2025-10-22T19:00:00.000Z	31 \| good	2.347 \| good	10.199 \| good	32.835 \| good	0.259 \| good	3.113 \| good	0.207 \| good
2025-10-22T20:00:00.000Z	30 \| good	2.627 \| good	11.153 \| good	31.93 \| good	0.288 \| good	4.428 \| good	0.244 \| good
2025-10-22T21:00:00.000Z	27 \| good	2.724 \| good	11.144 \| good	28.999 \| good	0.236 \| good	4.356 \| good	0.216 \| good
2025-10-22T22:00:00.000Z	25 \| good	2.921 \| good	12.125 \| good	27.09 \| good	0.249 \| good	4.209 \| good	0.216 \| good
2025-10-22T23:00:00.000Z	24 \| good	3.209 \| good	14.021 \| good	26.032 \| good	0.247 \| good	5.285 \| good	0.244 \| good
2025-10-23T00:00:00.000Z	24 \| good	3.887 \| good	16.942 \| good	25.833 \| good	0.275 \| good	7.617 \| good	0.267 \| good
2025-10-23T01:00:00.000Z	27 \| good	3.703 \| good	16.022 \| good	28.602 \| good	0.654 \| good	7.821 \| good	0.288 \| good
2025-10-23T02:00:00.000Z	24 \| good	3.617 \| good	16.048 \| good	25.897 \| good	0.272 \| good	6.187 \| good	0.288 \| good
2025-10-23T03:00:00.000Z	24 \| good	3.809 \| good	17.004 \| good	26.01 \| good	0.251 \| good	13.059 \| good	0.212 \| good
2025-10-23T04:00:00.000Z	23 \| good	3.618 \| good	16.048 \| good	24.988 \| good	0.242 \| good	13.561 \| good	0.212 \| good
2025-10-23T05:00:00.000Z	23 \| good	3.613 \| good	16.03 \| good	25.097 \| good	0.206 \| good	9.38 \| good	0.212 \| good
2025-10-23T05:00:00.000Z	23 \| good	3.618 \| good	16.048 \| good	24.988 \| good	0.242 \| good	13.561 \| good	0.212 \| good
2025-10-23T01:00:00.000Z	27 \| good	5.328 \| good	22.981 \| good	20.366 \| good	1.734 \| good	8.611 \| good	0.178 \| good
2025-10-23T02:00:00.000Z	38 \| good	7.16 \| good	31.777 \| good	22.078 \| good	1.734 \| good	8.902 \| good	0.178 \| good
2025-10-23T03:00:00.000Z	38 \| good	6.505 \| good	29.247 \| good	25.458 \| good	1.733 \| good	9.194 \| good	0.179 \| good
2025-10-23T04:00:00.000Z	33 \| good	5.518 \| good	23.641 \| good	25.16 \| good	1.791 \| good	8.256 \| good	0.173 \| good
2025-10-23T05:00:00.000Z	27 \| good	4.945 \| good	21.265 \| good	23.477 \| good	1.848 \| good	7.319 \| good	0.167 \| good
2025-10-23T06:00:00.000Z	27 \| good	4.676 \| good	20.174 \| good	20.337 \| good	1.906 \| good	6.381 \| good	0.16 \| good
2025-10-23T07:00:00.000Z	27 \| good	4.958 \| good	21.235 \| good	20.646 \| good	2.089 \| good	6.095 \| good	0.158 \| good
2025-10-23T08:00:00.000Z	27 \| good	5.097 \| good	22.077 \| good	23.601 \| good	2.272 \| good	5.809 \| good	0.156 \| good
2025-10-23T09:00:00.000Z	27 \| good	5.062 \| good	22.006 \| good	20.337 \| good	2.456 \| good	5.523 \| good	0.154 \| good
2025-10-23T10:00:00.000Z	27 \| good	5.317 \| good	22.943 \| good	19.497 \| good	2.508 \| good	6.482 \| good	0.163 \| good
2025-10-23T11:00:00.000Z	33 \| good	5.579 \| good	24.202 \| good	16.683 \| good	2.56 \| good	7.441 \| good	0.172 \| good
2025-10-23T12:00:00.000Z	27 \| good	4.965 \| good	21.513 \| good	18.71 \| good	2.612 \| good	8.401 \| good	0.181 \| good
2025-10-23T13:00:00.000Z	22 \| good	3.888 \| good	16.961 \| good	23.12 \| good	2.55 \| good	6.841 \| good	0.171 \| good
2025-10-23T14:00:00.000Z	28 \| good	1.654 \| good	6.701 \| good	29.721 \| good	2.489 \| good	5.282 \| good	0.162 \| good
2025-10-23T15:00:00.000Z	28 \| good	1.344 \| good	5.325 \| good	29.709 \| good	2.427 \| good	3.722 \| good	0.153 \| good
2025-10-23T16:00:00.000Z	28 \| good	1.854 \| good	7.601 \| good	30.063 \| good	2.15 \| good	3.307 \| good	0.148 \| good
2025-10-23T17:00:00.000Z	29 \| good	2.007 \| good	8.297 \| good	30.597 \| good	1.872 \| good	2.892 \| good	0.144 \| good
2025-10-23T18:00:00.000Z	26 \| good	2.039 \| good	8.265 \| good	28.2 \| good	1.595 \| good	2.477 \| good	0.139 \| good
2025-10-23T19:00:00.000Z	27 \| good	2.582 \| good	10.605 \| good	29.131 \| good	1.614 \| good	2.823 \| good	0.141 \| good
2025-10-23T20:00:00.000Z	27 \| good	2.171 \| good	8.874 \| good	29.393 \| good	1.634 \| good	3.168 \| good	0.142 \| good
2025-10-23T21:00:00.000Z	28 \| good	2.141 \| good	8.672 \| good	30.142 \| good	1.653 \| good	3.514 \| good	0.144 \| good
2025-10-23T22:00:00.000Z	26 \| good	1.176 \| good	4.806 \| good	27.964 \| good	1.793 \| good	6.096 \| good	0.163 \| good
2025-10-23T23:00:00.000Z	25 \| good	1.083 \| good	4.286 \| good	26.905 \| good	1.932 \| good	8.678 \| good	0.182 \| good
2025-10-24T00:00:00.000Z	26 \| good	2.674 \| good	10.991 \| good	28.199 \| good	2.072 \| good	11.26 \| good	0.201 \| good
2025-10-24T01:00:00.000Z	22 \| good	4.472 \| good	19.391 \| good	23.165 \| good	2.228 \| good	10.726 \| good	0.198 \| good
2025-10-24T02:00:00.000Z	38 \| good	6.528 \| good	29.086 \| good	18.224 \| good	2.383 \| good	10.192 \| good	0.196 \| good
2025-10-24T03:00:00.000Z	44 \| good	7.523 \| good	32.965 \| good	17.263 \| good	2.539 \| good	9.658 \| good	0.193 \| good
2025-10-24T04:00:00.000Z	33 \| good	6.392 \| good	28.588 \| good	16.919 \| good	2.612 \| good	8.703 \| good	0.187 \| good
2025-10-24T05:00:00.000Z	33 \| good	5.89 \| good	25.771 \| good	15.005 \| good	2.685 \| good	7.749 \| good	0.18 \| good
2025-10-24T06:00:00.000Z	33 \| good	6.175 \| good	27.735 \| good	13.089 \| good	2.757 \| good	6.794 \| good	0.174 \| good
2025-10-24T07:00:00.000Z	38 \| good	6.715 \| good	29.972 \| good	10.009 \| good	2.795 \| good	6.647 \| good	0.172 \| good
2025-10-24T08:00:00.000Z	38 \| good	7.175 \| good	31.858 \| good	9.603 \| good	2.833 \| good	6.5 \| good	0.17 \| good
2025-10-24T09:00:00.000Z	38 \| good	7.172 \| good	31.754 \| good	10.491 \| good	2.87 \| good	6.354 \| good	0.168 \| good
2025-10-24T10:00:00.000Z	44 \| good	7.516 \| good	33.266 \| good	7.151 \| good	3.004 \| good	7.676 \| good	0.183 \| good
2025-10-24T11:00:00.000Z	38 \| good	7.201 \| good	31.623 \| good	5.455 \| good	3.138 \| good	8.998 \| good	0.198 \| good
2025-10-24T12:00:00.000Z	38 \| good	7.104 \| good	31.44 \| good	6.613 \| good	3.272 \| good	10.32 \| good	0.213 \| good
2025-10-24T13:00:00.000Z	38 \| good	6.637 \| good	29.446 \| good	12.319 \| good	3.329 \| good	8.328 \| good	0.203 \| good
2025-10-24T14:00:00.000Z	22 \| good	4.183 \| good	18.234 \| good	22.941 \| good	3.387 \| good	6.337 \| good	0.192 \| good
2025-10-24T15:00:00.000Z	27 \| good	4.476 \| good	19.294 \| good	29.145 \| good	3.444 \| good	4.345 \| good	0.182 \| good
2025-10-24T16:00:00.000Z	29 \| good	4.721 \| good	20.58 \| good	30.906 \| good	2.952 \| good	3.778 \| good	0.174 \| good
2025-10-24T17:00:00.000Z	30 \| good	3.798 \| good	16.695 \| good	31.524 \| good	2.46 \| good	3.212 \| good	0.165 \| good
2025-10-24T18:00:00.000Z	29 \| good	2.105 \| good	8.766 \| good	30.854 \| good	1.969 \| good	2.645 \| good	0.157 \| good
2025-10-24T19:00:00.000Z	29 \| good	2.178 \| good	8.87 \| good	30.797 \| good	1.725 \| good	2.81 \| good	0.155 \| good
2025-10-24T20:00:00.000Z	31 \| good	2.108 \| good	8.605 \| good	33.606 \| good	1.48 \| good	2.975 \| good	0.154 \| good
2025-10-24T21:00:00.000Z	30 \| good	1.865 \| good	7.732 \| good	32.005 \| good	1.236 \| good	3.14 \| good	0.152 \| good
2025-10-24T22:00:00.000Z	27 \| good	2.029 \| good	8.518 \| good	28.664 \| good	1.3 \| good	6.661 \| good	0.177 \| good
2025-10-24T23:00:00.000Z	27 \| good	3.086 \| good	13.258 \| good	28.707 \| good	1.365 \| good	10.182 \| good	0.202 \| good
2025-10-25T00:00:00.000Z	38 \| good	6.889 \| good	6.893 \| good	15.309 \| good	1.41 \| good	13.597 \| good	0.226 \| good

Norristown

Empower business decisions with accurate air quality data

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

0.26ppm

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 Norristown, Pennsylvania updated?

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

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

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

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

The best air quality in Norristown, Pennsylvania was recorded at 12:00:00 on 2025-10-23.

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

The real-time air quality index in Norristown, Pennsylvania is 24, currently categorized as Good.

Which pollutant is found most often in Norristown, Pennsylvania?

The most common pollutant in Norristown, Pennsylvania is O3.

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

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

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

The measured PM_2.5 levels in Norristown, Pennsylvania at present are 3.887 μg/m³.

What are the current PM₁₀ levels at Norristown, Pennsylvania?

The current PM₁₀ levels in Norristown, Pennsylvania are 16.942 μg/m³.

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

The current carbon monoxide (CO) level in Norristown, Pennsylvania is 0.267 ppm.

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

The current sulfur dioxide (SO₂) levels in Norristown, Pennsylvania are 0.275 ppb.

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

The current ozone (O₃) levels at Norristown, Pennsylvania is 25.833 ppm.

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

The current nitrogen dioxide (NO₂) levels at Norristown, Pennsylvania is 7.617 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-21T06:00:00.000Z	27 \| good	5.283 \| good	22.803 \| good	17.199 \| good	0.258 \| good	8.039 \| good	0.207 \| good
2025-10-21T07:00:00.000Z	27 \| good	4.899 \| good	20.901 \| good	17.065 \| good	0.223 \| good	8.866 \| good	0.257 \| good
2025-10-21T08:00:00.000Z	27 \| good	4.704 \| good	20.901 \| good	16.974 \| good	0.264 \| good	8.094 \| good	0.247 \| good
2025-10-21T09:00:00.000Z	27 \| good	4.518 \| good	19.981 \| good	16.83 \| good	0.263 \| good	7.664 \| good	0.243 \| good
2025-10-21T10:00:00.000Z	27 \| good	4.63 \| good	19.999 \| good	14.833 \| good	0.328 \| good	12.024 \| good	0.28 \| good
2025-10-21T11:00:00.000Z	33 \| good	5.682 \| good	24.814 \| good	10.03 \| good	0.358 \| good	17.613 \| good	0.262 \| good
2025-10-21T12:00:00.000Z	33 \| good	5.883 \| good	26.781 \| good	7.99 \| good	0.521 \| good	19.277 \| good	0.38 \| good
2025-10-21T13:00:00.000Z	33 \| good	6.489 \| good	28.846 \| good	7.995 \| good	0.734 \| good	20.663 \| good	0.459 \| good
2025-10-21T14:00:00.000Z	44 \| good	7.78 \| good	33.83 \| good	7.069 \| good	1.098 \| good	19.698 \| good	0.515 \| good
2025-10-21T15:00:00.000Z	38 \| good	6.682 \| good	30.22 \| good	17.713 \| good	1.339 \| good	16.633 \| good	0.404 \| good
2025-10-21T16:00:00.000Z	27 \| good	5.313 \| good	23.412 \| good	17.938 \| good	1.055 \| good	12.684 \| good	0.337 \| good
2025-10-21T17:00:00.000Z	22 \| good	4.487 \| good	19.375 \| good	23.94 \| good	0.482 \| good	10.195 \| good	0.296 \| good
2025-10-21T18:00:00.000Z	27 \| good	3.961 \| good	17.243 \| good	29.071 \| good	0.421 \| good	9.949 \| good	0.3 \| good
2025-10-21T19:00:00.000Z	33 \| good	3.451 \| good	15.206 \| good	35.966 \| good	0.42 \| good	7.507 \| good	0.26 \| good
2025-10-21T20:00:00.000Z	34 \| good	3.532 \| good	16.11 \| good	37.027 \| good	0.338 \| good	7.083 \| good	0.26 \| good
2025-10-21T21:00:00.000Z	37 \| good	3.724 \| good	16.111 \| good	39.926 \| good	0.327 \| good	7.19 \| good	0.305 \| good
2025-10-21T22:00:00.000Z	35 \| good	4.028 \| good	18.102 \| good	38.009 \| good	0.379 \| good	7.65 \| good	0.305 \| good
2025-10-21T23:00:00.000Z	31 \| good	4.222 \| good	19.056 \| good	34.169 \| good	0.389 \| good	10.043 \| good	0.345 \| good
2025-10-22T00:00:00.000Z	29 \| good	4.607 \| good	20.005 \| good	31.187 \| good	0.386 \| good	8.188 \| good	0.372 \| good
2025-10-22T01:00:00.000Z	28 \| good	4.71 \| good	20.996 \| good	30.235 \| good	0.426 \| good	10.742 \| good	0.372 \| good
2025-10-22T02:00:00.000Z	27 \| good	4.732 \| good	21.069 \| good	27.416 \| good	0.27 \| good	9.969 \| good	0.353 \| good
2025-10-22T03:00:00.000Z	38 \| good	6.759 \| good	29.864 \| good	37.934 \| good	1.912 \| good	7.479 \| good	0.177 \| good
2025-10-22T04:00:00.000Z	33 \| good	5.742 \| good	25.124 \| good	23.495 \| good	0.369 \| good	9.678 \| good	0.341 \| good
2025-10-22T05:00:00.000Z	33 \| good	6.039 \| good	27.045 \| good	20.384 \| good	0.358 \| good	6.874 \| good	0.279 \| good
2025-10-22T06:00:00.000Z	38 \| good	6.539 \| good	29.055 \| good	24.098 \| good	0.311 \| good	10.11 \| good	0.279 \| good
2025-10-22T07:00:00.000Z	38 \| good	6.761 \| good	30.122 \| good	24.018 \| good	0.311 \| good	16.085 \| good	0.279 \| good
2025-10-22T08:00:00.000Z	38 \| good	7.141 \| good	32.007 \| good	16.444 \| good	0.316 \| good	9.932 \| good	0.113 \| good
2025-10-22T09:00:00.000Z	44 \| good	8.384 \| good	36.796 \| good	16.309 \| good	0.311 \| good	9.318 \| good	0.279 \| good
2025-10-22T10:00:00.000Z	49 \| good	8.975 \| good	40.697 \| good	16.151 \| good	0.324 \| good	11.888 \| good	0.298 \| good
2025-10-22T11:00:00.000Z	49 \| good	9.111 \| good	40.866 \| good	18.134 \| good	0.144 \| good	13.219 \| good	0.298 \| good
2025-10-22T12:00:00.000Z	44 \| good	8.248 \| good	36.061 \| good	20.928 \| good	0.178 \| good	10.244 \| good	0.321 \| good
2025-10-22T13:00:00.000Z	44 \| good	7.543 \| good	33.046 \| good	22.875 \| good	0.18 \| good	10.515 \| good	0.348 \| good
2025-10-22T14:00:00.000Z	33 \| good	5.711 \| good	24.955 \| good	26.824 \| good	0.381 \| good	6.678 \| good	0.293 \| good
2025-10-22T15:00:00.000Z	33 \| good	5.711 \| good	24.955 \| good	26.864 \| good	0.404 \| good	6.796 \| good	0.293 \| good
2025-10-22T16:00:00.000Z	33 \| good	5.661 \| good	24.766 \| good	26.983 \| good	0.312 \| good	5.276 \| good	0.279 \| good
2025-10-22T17:00:00.000Z	30 \| good	3.145 \| good	11.495 \| good	31.9 \| good	0.31 \| good	3.913 \| good	0.239 \| good
2025-10-22T18:00:00.000Z	31 \| good	2.351 \| good	10.224 \| good	32.877 \| good	0.267 \| good	3.685 \| good	0.207 \| good
2025-10-22T19:00:00.000Z	31 \| good	2.347 \| good	10.199 \| good	32.835 \| good	0.259 \| good	3.113 \| good	0.207 \| good
2025-10-22T20:00:00.000Z	30 \| good	2.627 \| good	11.153 \| good	31.93 \| good	0.288 \| good	4.428 \| good	0.244 \| good
2025-10-22T21:00:00.000Z	27 \| good	2.724 \| good	11.144 \| good	28.999 \| good	0.236 \| good	4.356 \| good	0.216 \| good
2025-10-22T22:00:00.000Z	25 \| good	2.921 \| good	12.125 \| good	27.09 \| good	0.249 \| good	4.209 \| good	0.216 \| good
2025-10-22T23:00:00.000Z	24 \| good	3.209 \| good	14.021 \| good	26.032 \| good	0.247 \| good	5.285 \| good	0.244 \| good
2025-10-23T00:00:00.000Z	24 \| good	3.887 \| good	16.942 \| good	25.833 \| good	0.275 \| good	7.617 \| good	0.267 \| good
2025-10-23T01:00:00.000Z	27 \| good	3.703 \| good	16.022 \| good	28.602 \| good	0.654 \| good	7.821 \| good	0.288 \| good
2025-10-23T02:00:00.000Z	24 \| good	3.617 \| good	16.048 \| good	25.897 \| good	0.272 \| good	6.187 \| good	0.288 \| good
2025-10-23T03:00:00.000Z	24 \| good	3.809 \| good	17.004 \| good	26.01 \| good	0.251 \| good	13.059 \| good	0.212 \| good
2025-10-23T04:00:00.000Z	23 \| good	3.618 \| good	16.048 \| good	24.988 \| good	0.242 \| good	13.561 \| good	0.212 \| good
2025-10-23T05:00:00.000Z	23 \| good	3.613 \| good	16.03 \| good	25.097 \| good	0.206 \| good	9.38 \| good	0.212 \| good
2025-10-23T05:00:00.000Z	23 \| good	3.618 \| good	16.048 \| good	24.988 \| good	0.242 \| good	13.561 \| good	0.212 \| good
2025-10-23T01:00:00.000Z	27 \| good	5.328 \| good	22.981 \| good	20.366 \| good	1.734 \| good	8.611 \| good	0.178 \| good
2025-10-23T02:00:00.000Z	38 \| good	7.16 \| good	31.777 \| good	22.078 \| good	1.734 \| good	8.902 \| good	0.178 \| good
2025-10-23T03:00:00.000Z	38 \| good	6.505 \| good	29.247 \| good	25.458 \| good	1.733 \| good	9.194 \| good	0.179 \| good
2025-10-23T04:00:00.000Z	33 \| good	5.518 \| good	23.641 \| good	25.16 \| good	1.791 \| good	8.256 \| good	0.173 \| good
2025-10-23T05:00:00.000Z	27 \| good	4.945 \| good	21.265 \| good	23.477 \| good	1.848 \| good	7.319 \| good	0.167 \| good
2025-10-23T06:00:00.000Z	27 \| good	4.676 \| good	20.174 \| good	20.337 \| good	1.906 \| good	6.381 \| good	0.16 \| good
2025-10-23T07:00:00.000Z	27 \| good	4.958 \| good	21.235 \| good	20.646 \| good	2.089 \| good	6.095 \| good	0.158 \| good
2025-10-23T08:00:00.000Z	27 \| good	5.097 \| good	22.077 \| good	23.601 \| good	2.272 \| good	5.809 \| good	0.156 \| good
2025-10-23T09:00:00.000Z	27 \| good	5.062 \| good	22.006 \| good	20.337 \| good	2.456 \| good	5.523 \| good	0.154 \| good
2025-10-23T10:00:00.000Z	27 \| good	5.317 \| good	22.943 \| good	19.497 \| good	2.508 \| good	6.482 \| good	0.163 \| good
2025-10-23T11:00:00.000Z	33 \| good	5.579 \| good	24.202 \| good	16.683 \| good	2.56 \| good	7.441 \| good	0.172 \| good
2025-10-23T12:00:00.000Z	27 \| good	4.965 \| good	21.513 \| good	18.71 \| good	2.612 \| good	8.401 \| good	0.181 \| good
2025-10-23T13:00:00.000Z	22 \| good	3.888 \| good	16.961 \| good	23.12 \| good	2.55 \| good	6.841 \| good	0.171 \| good
2025-10-23T14:00:00.000Z	28 \| good	1.654 \| good	6.701 \| good	29.721 \| good	2.489 \| good	5.282 \| good	0.162 \| good
2025-10-23T15:00:00.000Z	28 \| good	1.344 \| good	5.325 \| good	29.709 \| good	2.427 \| good	3.722 \| good	0.153 \| good
2025-10-23T16:00:00.000Z	28 \| good	1.854 \| good	7.601 \| good	30.063 \| good	2.15 \| good	3.307 \| good	0.148 \| good
2025-10-23T17:00:00.000Z	29 \| good	2.007 \| good	8.297 \| good	30.597 \| good	1.872 \| good	2.892 \| good	0.144 \| good
2025-10-23T18:00:00.000Z	26 \| good	2.039 \| good	8.265 \| good	28.2 \| good	1.595 \| good	2.477 \| good	0.139 \| good
2025-10-23T19:00:00.000Z	27 \| good	2.582 \| good	10.605 \| good	29.131 \| good	1.614 \| good	2.823 \| good	0.141 \| good
2025-10-23T20:00:00.000Z	27 \| good	2.171 \| good	8.874 \| good	29.393 \| good	1.634 \| good	3.168 \| good	0.142 \| good
2025-10-23T21:00:00.000Z	28 \| good	2.141 \| good	8.672 \| good	30.142 \| good	1.653 \| good	3.514 \| good	0.144 \| good
2025-10-23T22:00:00.000Z	26 \| good	1.176 \| good	4.806 \| good	27.964 \| good	1.793 \| good	6.096 \| good	0.163 \| good
2025-10-23T23:00:00.000Z	25 \| good	1.083 \| good	4.286 \| good	26.905 \| good	1.932 \| good	8.678 \| good	0.182 \| good
2025-10-24T00:00:00.000Z	26 \| good	2.674 \| good	10.991 \| good	28.199 \| good	2.072 \| good	11.26 \| good	0.201 \| good
2025-10-24T01:00:00.000Z	22 \| good	4.472 \| good	19.391 \| good	23.165 \| good	2.228 \| good	10.726 \| good	0.198 \| good
2025-10-24T02:00:00.000Z	38 \| good	6.528 \| good	29.086 \| good	18.224 \| good	2.383 \| good	10.192 \| good	0.196 \| good
2025-10-24T03:00:00.000Z	44 \| good	7.523 \| good	32.965 \| good	17.263 \| good	2.539 \| good	9.658 \| good	0.193 \| good
2025-10-24T04:00:00.000Z	33 \| good	6.392 \| good	28.588 \| good	16.919 \| good	2.612 \| good	8.703 \| good	0.187 \| good
2025-10-24T05:00:00.000Z	33 \| good	5.89 \| good	25.771 \| good	15.005 \| good	2.685 \| good	7.749 \| good	0.18 \| good
2025-10-24T06:00:00.000Z	33 \| good	6.175 \| good	27.735 \| good	13.089 \| good	2.757 \| good	6.794 \| good	0.174 \| good
2025-10-24T07:00:00.000Z	38 \| good	6.715 \| good	29.972 \| good	10.009 \| good	2.795 \| good	6.647 \| good	0.172 \| good
2025-10-24T08:00:00.000Z	38 \| good	7.175 \| good	31.858 \| good	9.603 \| good	2.833 \| good	6.5 \| good	0.17 \| good
2025-10-24T09:00:00.000Z	38 \| good	7.172 \| good	31.754 \| good	10.491 \| good	2.87 \| good	6.354 \| good	0.168 \| good
2025-10-24T10:00:00.000Z	44 \| good	7.516 \| good	33.266 \| good	7.151 \| good	3.004 \| good	7.676 \| good	0.183 \| good
2025-10-24T11:00:00.000Z	38 \| good	7.201 \| good	31.623 \| good	5.455 \| good	3.138 \| good	8.998 \| good	0.198 \| good
2025-10-24T12:00:00.000Z	38 \| good	7.104 \| good	31.44 \| good	6.613 \| good	3.272 \| good	10.32 \| good	0.213 \| good
2025-10-24T13:00:00.000Z	38 \| good	6.637 \| good	29.446 \| good	12.319 \| good	3.329 \| good	8.328 \| good	0.203 \| good
2025-10-24T14:00:00.000Z	22 \| good	4.183 \| good	18.234 \| good	22.941 \| good	3.387 \| good	6.337 \| good	0.192 \| good
2025-10-24T15:00:00.000Z	27 \| good	4.476 \| good	19.294 \| good	29.145 \| good	3.444 \| good	4.345 \| good	0.182 \| good
2025-10-24T16:00:00.000Z	29 \| good	4.721 \| good	20.58 \| good	30.906 \| good	2.952 \| good	3.778 \| good	0.174 \| good
2025-10-24T17:00:00.000Z	30 \| good	3.798 \| good	16.695 \| good	31.524 \| good	2.46 \| good	3.212 \| good	0.165 \| good
2025-10-24T18:00:00.000Z	29 \| good	2.105 \| good	8.766 \| good	30.854 \| good	1.969 \| good	2.645 \| good	0.157 \| good
2025-10-24T19:00:00.000Z	29 \| good	2.178 \| good	8.87 \| good	30.797 \| good	1.725 \| good	2.81 \| good	0.155 \| good
2025-10-24T20:00:00.000Z	31 \| good	2.108 \| good	8.605 \| good	33.606 \| good	1.48 \| good	2.975 \| good	0.154 \| good
2025-10-24T21:00:00.000Z	30 \| good	1.865 \| good	7.732 \| good	32.005 \| good	1.236 \| good	3.14 \| good	0.152 \| good
2025-10-24T22:00:00.000Z	27 \| good	2.029 \| good	8.518 \| good	28.664 \| good	1.3 \| good	6.661 \| good	0.177 \| good
2025-10-24T23:00:00.000Z	27 \| good	3.086 \| good	13.258 \| good	28.707 \| good	1.365 \| good	10.182 \| good	0.202 \| good
2025-10-25T00:00:00.000Z	38 \| good	6.889 \| good	6.893 \| good	15.309 \| good	1.41 \| good	13.597 \| good	0.226 \| good

Real-time air quality index in Norristown, Pennsylvania today

Common air pollutants in Norristown, Pennsylvania

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Norristown, Pennsylvania air quality forecast and history

Empower business decisions with accurate air quality data

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

Air quality in nearby cities

East Norriton, Pennsylvania

Plymouth Township, Pennsylvania

West Norriton, Pennsylvania

Upper Merion, Pennsylvania

Whitpain, Pennsylvania

Lower Providence, 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 Norristown, Pennsylvania updated?

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

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

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

Which pollutant is found most often in Norristown, Pennsylvania?

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

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

What are the current PM10 levels at Norristown, Pennsylvania?

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

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

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

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

What are the current PM₁₀ levels at Norristown, Pennsylvania?

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

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

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