What are the current PM10 levels at Upper Dublin, Pennsylvania?

The current PM10 levels in Upper Dublin, Pennsylvania are 22.487 μg/m3.

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

The current sulfur dioxide (SO2) levels in Upper Dublin, Pennsylvania are 0.216 ppb.

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

The current ozone (O3) levels at Upper Dublin, Pennsylvania is 20.897 ppm.

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

The current nitrogen dioxide (NO2) levels at Upper Dublin, Pennsylvania is 6.436 ppb.

Real-time air quality index in Upper Dublin, Pennsylvania today

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

The measured PM2.5 levels in Upper Dublin, Pennsylvania at present are 3.708 μg/m3.

Stay updated with real-time air quality in Upper Dublin, 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 Dublin, Pennsylvania

Last updated: ... (Local time)

Common air pollutants in Upper Dublin, Pennsylvania

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

5.04 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

20.92 μg/m³

155

255

425

605+

Ozone (O₃)

14.69 ppb

201

201+

Sulfur Dioxide (SO₂)

0.41 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

14.36 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.31 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Upper Dublin, Pennsylvania

Get Live Pollen Counts

Upper Dublin, Pennsylvania

Scroll To Air Quality Map

Track live Upper Dublin, Pennsylvania air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-21T14:00:00.000Z	38 \| good	7.166 \| good	34.583 \| good	7.502 \| good	1.171 \| good	21.349 \| good	0.518 \| good
2025-10-21T15:00:00.000Z	44 \| good	7.853 \| good	33.511 \| good	14.161 \| good	1.368 \| good	18.741 \| good	0.396 \| good
2025-10-21T16:00:00.000Z	44 \| good	8.162 \| good	33.937 \| good	18.461 \| good	1.184 \| good	13.672 \| good	0.327 \| good
2025-10-21T17:00:00.000Z	27 \| good	5.453 \| good	19.364 \| good	22.021 \| good	0.485 \| good	9.99 \| good	0.283 \| good
2025-10-21T18:00:00.000Z	29 \| good	4.695 \| good	16.55 \| good	31.265 \| good	0.428 \| good	10.01 \| good	0.286 \| good
2025-10-21T19:00:00.000Z	31 \| good	4.012 \| good	16.522 \| good	34.42 \| good	0.429 \| good	7.63 \| good	0.251 \| good
2025-10-21T20:00:00.000Z	34 \| good	3.652 \| good	12.608 \| good	37.43 \| good	0.335 \| good	7.04 \| good	0.251 \| good
2025-10-21T21:00:00.000Z	36 \| good	2.844 \| good	12.691 \| good	38.908 \| good	0.327 \| good	7.122 \| good	0.291 \| good
2025-10-21T22:00:00.000Z	34 \| good	4.531 \| good	19.478 \| good	37.113 \| good	0.391 \| good	8.687 \| good	0.291 \| good
2025-10-21T23:00:00.000Z	33 \| good	5.648 \| good	23.621 \| good	31.945 \| good	0.399 \| good	11.593 \| good	0.326 \| good
2025-10-22T00:00:00.000Z	32 \| good	5.198 \| good	14.865 \| good	35.191 \| good	0.396 \| good	8.268 \| good	0.36 \| good
2025-10-22T01:00:00.000Z	30 \| good	5.029 \| good	22.075 \| good	31.66 \| good	0.444 \| good	11.941 \| good	0.36 \| good
2025-10-22T02:00:00.000Z	33 \| good	5.461 \| good	24.791 \| good	35.574 \| good	0.3 \| good	11.415 \| good	0.338 \| good
2025-10-22T03:00:00.000Z	44 \| good	8.126 \| good	35.879 \| good	35.36 \| good	1.969 \| good	7.847 \| good	0.176 \| good
2025-10-22T04:00:00.000Z	38 \| good	7.182 \| good	26.768 \| good	34.902 \| good	0.377 \| good	9.86 \| good	0.336 \| good
2025-10-22T05:00:00.000Z	38 \| good	6.983 \| good	32.831 \| good	29.943 \| good	0.361 \| good	6.922 \| good	0.278 \| good
2025-10-22T06:00:00.000Z	49 \| good	8.653 \| good	42.708 \| good	27.434 \| good	0.308 \| good	9.759 \| good	0.278 \| good
2025-10-22T07:00:00.000Z	49 \| good	8.901 \| good	40.26 \| good	24.81 \| good	0.307 \| good	16.719 \| good	0.278 \| good
2025-10-22T08:00:00.000Z	38 \| good	7.496 \| good	28.459 \| good	25.243 \| good	0.311 \| good	9.294 \| good	0.112 \| good
2025-10-22T09:00:00.000Z	44 \| good	7.668 \| good	37.837 \| good	22.049 \| good	0.306 \| good	8.907 \| good	0.278 \| good
2025-10-22T10:00:00.000Z	44 \| good	7.854 \| good	30.883 \| good	17.256 \| good	0.352 \| good	12.01 \| good	0.293 \| good
2025-10-22T11:00:00.000Z	52 \| moderate	10.055 \| good	46.372 \| good	19.466 \| good	0.147 \| good	15.006 \| good	0.293 \| good
2025-10-22T12:00:00.000Z	52 \| moderate	9.709 \| good	47.29 \| good	19.854 \| good	0.185 \| good	12.354 \| good	0.316 \| good
2025-10-22T13:00:00.000Z	44 \| good	8.321 \| good	30.981 \| good	21.647 \| good	0.186 \| good	11.253 \| good	0.35 \| good
2025-10-22T14:00:00.000Z	38 \| good	6.562 \| good	21.384 \| good	22.406 \| good	0.374 \| good	7.499 \| good	0.289 \| good
2025-10-22T15:00:00.000Z	27 \| good	5.366 \| good	22.246 \| good	25.853 \| good	0.39 \| good	7.391 \| good	0.289 \| good
2025-10-22T16:00:00.000Z	24 \| good	3.849 \| good	14.882 \| good	25.717 \| good	0.296 \| good	5.411 \| good	0.278 \| good
2025-10-22T17:00:00.000Z	26 \| good	3.524 \| good	22.559 \| good	28.475 \| good	0.338 \| good	4.149 \| good	0.242 \| good
2025-10-22T18:00:00.000Z	28 \| good	2.426 \| good	11.608 \| good	29.629 \| good	0.254 \| good	3.875 \| good	0.204 \| good
2025-10-22T19:00:00.000Z	27 \| good	3.135 \| good	13.17 \| good	29.258 \| good	0.248 \| good	3.338 \| good	0.204 \| good
2025-10-22T20:00:00.000Z	26 \| good	3.687 \| good	13.286 \| good	28.044 \| good	0.279 \| good	5.049 \| good	0.246 \| good
2025-10-22T21:00:00.000Z	27 \| good	3.464 \| good	11.941 \| good	29.455 \| good	0.234 \| good	5.058 \| good	0.212 \| good
2025-10-22T22:00:00.000Z	27 \| good	2.905 \| good	10.73 \| good	29.102 \| good	0.245 \| good	4.535 \| good	0.212 \| good
2025-10-22T23:00:00.000Z	28 \| good	2.889 \| good	13.421 \| good	30.218 \| good	0.245 \| good	5.411 \| good	0.246 \| good
2025-10-23T00:00:00.000Z	23 \| good	4.226 \| good	18.387 \| good	25.449 \| good	0.262 \| good	8.787 \| good	0.269 \| good
2025-10-23T01:00:00.000Z	25 \| good	4.243 \| good	21.304 \| good	27.017 \| good	0.534 \| good	8.257 \| good	0.285 \| good
2025-10-23T02:00:00.000Z	22 \| good	4.356 \| good	19.439 \| good	22.346 \| good	0.283 \| good	6.732 \| good	0.285 \| good
2025-10-23T03:00:00.000Z	22 \| good	4.31 \| good	22.572 \| good	23.171 \| good	0.245 \| good	10.034 \| good	0.209 \| good
2025-10-23T04:00:00.000Z	22 \| good	3.976 \| good	16.827 \| good	21.786 \| good	0.238 \| good	10.274 \| good	0.209 \| good
2025-10-23T05:00:00.000Z	24 \| good	3.906 \| good	17.798 \| good	26.211 \| good	0.203 \| good	10.114 \| good	0.212 \| good
2025-10-23T06:00:00.000Z	23 \| good	3.071 \| good	14.808 \| good	25.426 \| good	0.235 \| good	7.629 \| good	0.209 \| good
2025-10-23T07:00:00.000Z	22 \| good	4.017 \| good	16.805 \| good	22.782 \| good	0.3 \| good	6.966 \| good	0.209 \| good
2025-10-23T08:00:00.000Z	22 \| good	3.708 \| good	22.487 \| good	20.897 \| good	0.216 \| good	6.436 \| good	0.209 \| good
2025-10-23T09:00:00.000Z	27 \| good	4.693 \| good	19.189 \| good	18.684 \| good	0.443 \| good	6.013 \| good	0.209 \| good
2025-10-23T10:00:00.000Z	22 \| good	3.937 \| good	22.441 \| good	19.84 \| good	0.287 \| good	10.857 \| good	0.213 \| good
2025-10-23T11:00:00.000Z	22 \| good	3.812 \| good	20.143 \| good	20.624 \| good	0.376 \| good	10.82 \| good	0.254 \| good
2025-10-23T12:00:00.000Z	22 \| good	3.585 \| good	12.93 \| good	13.731 \| good	0.415 \| good	12.216 \| good	0.288 \| good
2025-10-23T13:00:00.000Z	27 \| good	5.044 \| good	20.919 \| good	14.692 \| good	0.411 \| good	14.364 \| good	0.314 \| good
2025-10-23T13:00:00.000Z	27 \| good	5.044 \| good	20.919 \| good	14.692 \| good	0.411 \| good	14.364 \| good	0.314 \| good
2025-10-23T09:00:00.000Z	33 \| good	5.8 \| good	25.162 \| good	18.959 \| good	2.349 \| good	5.729 \| good	0.15 \| good
2025-10-23T10:00:00.000Z	33 \| good	5.707 \| good	24.804 \| good	16.625 \| good	2.395 \| good	6.763 \| good	0.159 \| good
2025-10-23T11:00:00.000Z	33 \| good	5.549 \| good	23.884 \| good	15.509 \| good	2.441 \| good	7.797 \| good	0.169 \| good
2025-10-23T12:00:00.000Z	27 \| good	5.114 \| good	22.018 \| good	19.467 \| good	2.486 \| good	8.831 \| good	0.178 \| good
2025-10-23T13:00:00.000Z	22 \| good	4.494 \| good	19.222 \| good	23.579 \| good	2.49 \| good	7.161 \| good	0.17 \| good
2025-10-23T14:00:00.000Z	27 \| good	2.668 \| good	11.024 \| good	29.034 \| good	2.494 \| good	5.49 \| good	0.161 \| good
2025-10-23T15:00:00.000Z	29 \| good	2.484 \| good	10.102 \| good	30.776 \| good	2.498 \| good	3.82 \| good	0.153 \| good
2025-10-23T16:00:00.000Z	30 \| good	3.045 \| good	12.199 \| good	31.595 \| good	2.182 \| good	3.514 \| good	0.149 \| good
2025-10-23T17:00:00.000Z	30 \| good	3.493 \| good	15.629 \| good	31.835 \| good	1.866 \| good	3.208 \| good	0.145 \| good
2025-10-23T18:00:00.000Z	28 \| good	3.534 \| good	15.714 \| good	30.441 \| good	1.55 \| good	2.902 \| good	0.142 \| good
2025-10-23T19:00:00.000Z	28 \| good	3.371 \| good	14.547 \| good	29.831 \| good	1.564 \| good	3.275 \| good	0.143 \| good
2025-10-23T20:00:00.000Z	27 \| good	3.575 \| good	15.693 \| good	29.347 \| good	1.579 \| good	3.648 \| good	0.145 \| good
2025-10-23T21:00:00.000Z	26 \| good	3.043 \| good	12.174 \| good	27.731 \| good	1.593 \| good	4.021 \| good	0.147 \| good
2025-10-23T22:00:00.000Z	25 \| good	2.011 \| good	7.968 \| good	26.756 \| good	1.751 \| good	7.263 \| good	0.168 \| good
2025-10-23T23:00:00.000Z	21 \| good	2.357 \| good	9.741 \| good	23.012 \| good	1.91 \| good	10.505 \| good	0.189 \| good
2025-10-24T00:00:00.000Z	22 \| good	4.477 \| good	19.758 \| good	17.469 \| good	2.069 \| good	13.747 \| good	0.211 \| good
2025-10-24T01:00:00.000Z	27 \| good	4.762 \| good	20.751 \| good	17.065 \| good	2.219 \| good	13.383 \| good	0.207 \| good
2025-10-24T02:00:00.000Z	22 \| good	3.735 \| good	16.031 \| good	19.786 \| good	2.369 \| good	13.019 \| good	0.204 \| good
2025-10-24T03:00:00.000Z	23 \| good	2.866 \| good	11.994 \| good	24.55 \| good	2.519 \| good	12.655 \| good	0.201 \| good
2025-10-24T04:00:00.000Z	26 \| good	2.733 \| good	11.086 \| good	28.09 \| good	2.718 \| good	11.298 \| good	0.194 \| good
2025-10-24T05:00:00.000Z	23 \| good	2.944 \| good	12 \| good	25.371 \| good	2.917 \| good	9.941 \| good	0.186 \| good
2025-10-24T06:00:00.000Z	19 \| good	3.232 \| good	14.086 \| good	20.833 \| good	3.116 \| good	8.584 \| good	0.179 \| good
2025-10-24T07:00:00.000Z	22 \| good	3.92 \| good	17.093 \| good	17.716 \| good	3.144 \| good	8.305 \| good	0.177 \| good
2025-10-24T08:00:00.000Z	22 \| good	4.456 \| good	19.072 \| good	14.295 \| good	3.173 \| good	8.026 \| good	0.175 \| good
2025-10-24T09:00:00.000Z	33 \| good	5.811 \| good	24.975 \| good	10.045 \| good	3.202 \| good	7.747 \| good	0.173 \| good
2025-10-24T10:00:00.000Z	44 \| good	7.959 \| good	34.678 \| good	5.011 \| good	3.254 \| good	9.091 \| good	0.191 \| good
2025-10-24T11:00:00.000Z	52 \| moderate	9.747 \| good	43.552 \| good	2.303 \| good	3.307 \| good	10.436 \| good	0.21 \| good
2025-10-24T12:00:00.000Z	52 \| moderate	9.657 \| good	42.821 \| good	6.797 \| good	3.359 \| good	11.78 \| good	0.228 \| good
2025-10-24T13:00:00.000Z	38 \| good	7.006 \| good	30.959 \| good	16.3 \| good	3.287 \| good	9.387 \| good	0.211 \| good
2025-10-24T14:00:00.000Z	22 \| good	3.985 \| good	17.158 \| good	23.647 \| good	3.215 \| good	6.993 \| good	0.195 \| good
2025-10-24T15:00:00.000Z	25 \| good	3.541 \| good	15.826 \| good	27.493 \| good	3.143 \| good	4.6 \| good	0.178 \| good
2025-10-24T16:00:00.000Z	28 \| good	3.029 \| good	12.161 \| good	30.02 \| good	2.794 \| good	4.131 \| good	0.172 \| good
2025-10-24T17:00:00.000Z	29 \| good	2.673 \| good	10.868 \| good	31.073 \| good	2.445 \| good	3.662 \| good	0.166 \| good
2025-10-24T18:00:00.000Z	31 \| good	2.305 \| good	9.728 \| good	32.751 \| good	2.095 \| good	3.193 \| good	0.16 \| good
2025-10-24T19:00:00.000Z	31 \| good	2.157 \| good	8.88 \| good	33.852 \| good	1.898 \| good	3.427 \| good	0.161 \| good
2025-10-24T20:00:00.000Z	31 \| good	2.363 \| good	9.803 \| good	33.629 \| good	1.7 \| good	3.661 \| good	0.161 \| good
2025-10-24T21:00:00.000Z	29 \| good	3.029 \| good	12.214 \| good	30.655 \| good	1.503 \| good	3.895 \| good	0.162 \| good
2025-10-24T22:00:00.000Z	27 \| good	5.216 \| good	22.869 \| good	21.087 \| good	1.563 \| good	7.67 \| good	0.187 \| good
2025-10-24T23:00:00.000Z	33 \| good	6.437 \| good	28.995 \| good	16.611 \| good	1.623 \| good	11.446 \| good	0.213 \| good
2025-10-25T00:00:00.000Z	38 \| good	7.273 \| good	31.876 \| good	13.541 \| good	1.683 \| good	15.222 \| good	0.238 \| good
2025-10-25T01:00:00.000Z	44 \| good	7.773 \| good	33.828 \| good	12.94 \| good	1.743 \| good	14.959 \| good	0.235 \| good
2025-10-25T02:00:00.000Z	44 \| good	8.003 \| good	34.829 \| good	12.111 \| good	1.804 \| good	14.696 \| good	0.233 \| good
2025-10-25T03:00:00.000Z	38 \| good	6.947 \| good	30.576 \| good	16.692 \| good	1.864 \| good	14.432 \| good	0.23 \| good
2025-10-25T04:00:00.000Z	33 \| good	6.306 \| good	28.246 \| good	17.409 \| good	1.868 \| good	13.232 \| good	0.222 \| good
2025-10-25T05:00:00.000Z	33 \| good	5.509 \| good	23.74 \| good	18.772 \| good	1.872 \| good	12.032 \| good	0.215 \| good
2025-10-25T06:00:00.000Z	33 \| good	6.365 \| good	6.474 \| good	13.212 \| good	1.862 \| good	10.753 \| good	0.207 \| good
2025-10-25T07:00:00.000Z	33 \| good	5.559 \| good	23.837 \| good	17.674 \| good	1.903 \| good	10.422 \| good	0.203 \| good
2025-10-25T08:00:00.000Z	27 \| good	5.378 \| good	22.939 \| good	16.518 \| good	1.929 \| good	10.013 \| good	0.199 \| good

Upper Dublin

Empower business decisions with accurate air quality data

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

0.20ppm

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 Upper Dublin, Pennsylvania updated?

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

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

The worst air quality in Upper Dublin, Pennsylvania was recorded at 12:00:00 on 2025-10-22.

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

The best air quality in Upper Dublin, Pennsylvania was recorded at 07:00:00 on 2025-10-23.

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

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

Which pollutant is found most often in Upper Dublin, Pennsylvania?

The most common pollutant in Upper Dublin, Pennsylvania is PM2.5.

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

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

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

The measured PM_2.5 levels in Upper Dublin, Pennsylvania at present are 3.708 μg/m³.

What are the current PM₁₀ levels at Upper Dublin, Pennsylvania?

The current PM₁₀ levels in Upper Dublin, Pennsylvania are 22.487 μg/m³.

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

The current carbon monoxide (CO) level in Upper Dublin, Pennsylvania is 0.209 ppm.

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

The current sulfur dioxide (SO₂) levels in Upper Dublin, Pennsylvania are 0.216 ppb.

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

The current ozone (O₃) levels at Upper Dublin, Pennsylvania is 20.897 ppm.

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

The current nitrogen dioxide (NO₂) levels at Upper Dublin, Pennsylvania is 6.436 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-21T14:00:00.000Z	38 \| good	7.166 \| good	34.583 \| good	7.502 \| good	1.171 \| good	21.349 \| good	0.518 \| good
2025-10-21T15:00:00.000Z	44 \| good	7.853 \| good	33.511 \| good	14.161 \| good	1.368 \| good	18.741 \| good	0.396 \| good
2025-10-21T16:00:00.000Z	44 \| good	8.162 \| good	33.937 \| good	18.461 \| good	1.184 \| good	13.672 \| good	0.327 \| good
2025-10-21T17:00:00.000Z	27 \| good	5.453 \| good	19.364 \| good	22.021 \| good	0.485 \| good	9.99 \| good	0.283 \| good
2025-10-21T18:00:00.000Z	29 \| good	4.695 \| good	16.55 \| good	31.265 \| good	0.428 \| good	10.01 \| good	0.286 \| good
2025-10-21T19:00:00.000Z	31 \| good	4.012 \| good	16.522 \| good	34.42 \| good	0.429 \| good	7.63 \| good	0.251 \| good
2025-10-21T20:00:00.000Z	34 \| good	3.652 \| good	12.608 \| good	37.43 \| good	0.335 \| good	7.04 \| good	0.251 \| good
2025-10-21T21:00:00.000Z	36 \| good	2.844 \| good	12.691 \| good	38.908 \| good	0.327 \| good	7.122 \| good	0.291 \| good
2025-10-21T22:00:00.000Z	34 \| good	4.531 \| good	19.478 \| good	37.113 \| good	0.391 \| good	8.687 \| good	0.291 \| good
2025-10-21T23:00:00.000Z	33 \| good	5.648 \| good	23.621 \| good	31.945 \| good	0.399 \| good	11.593 \| good	0.326 \| good
2025-10-22T00:00:00.000Z	32 \| good	5.198 \| good	14.865 \| good	35.191 \| good	0.396 \| good	8.268 \| good	0.36 \| good
2025-10-22T01:00:00.000Z	30 \| good	5.029 \| good	22.075 \| good	31.66 \| good	0.444 \| good	11.941 \| good	0.36 \| good
2025-10-22T02:00:00.000Z	33 \| good	5.461 \| good	24.791 \| good	35.574 \| good	0.3 \| good	11.415 \| good	0.338 \| good
2025-10-22T03:00:00.000Z	44 \| good	8.126 \| good	35.879 \| good	35.36 \| good	1.969 \| good	7.847 \| good	0.176 \| good
2025-10-22T04:00:00.000Z	38 \| good	7.182 \| good	26.768 \| good	34.902 \| good	0.377 \| good	9.86 \| good	0.336 \| good
2025-10-22T05:00:00.000Z	38 \| good	6.983 \| good	32.831 \| good	29.943 \| good	0.361 \| good	6.922 \| good	0.278 \| good
2025-10-22T06:00:00.000Z	49 \| good	8.653 \| good	42.708 \| good	27.434 \| good	0.308 \| good	9.759 \| good	0.278 \| good
2025-10-22T07:00:00.000Z	49 \| good	8.901 \| good	40.26 \| good	24.81 \| good	0.307 \| good	16.719 \| good	0.278 \| good
2025-10-22T08:00:00.000Z	38 \| good	7.496 \| good	28.459 \| good	25.243 \| good	0.311 \| good	9.294 \| good	0.112 \| good
2025-10-22T09:00:00.000Z	44 \| good	7.668 \| good	37.837 \| good	22.049 \| good	0.306 \| good	8.907 \| good	0.278 \| good
2025-10-22T10:00:00.000Z	44 \| good	7.854 \| good	30.883 \| good	17.256 \| good	0.352 \| good	12.01 \| good	0.293 \| good
2025-10-22T11:00:00.000Z	52 \| moderate	10.055 \| good	46.372 \| good	19.466 \| good	0.147 \| good	15.006 \| good	0.293 \| good
2025-10-22T12:00:00.000Z	52 \| moderate	9.709 \| good	47.29 \| good	19.854 \| good	0.185 \| good	12.354 \| good	0.316 \| good
2025-10-22T13:00:00.000Z	44 \| good	8.321 \| good	30.981 \| good	21.647 \| good	0.186 \| good	11.253 \| good	0.35 \| good
2025-10-22T14:00:00.000Z	38 \| good	6.562 \| good	21.384 \| good	22.406 \| good	0.374 \| good	7.499 \| good	0.289 \| good
2025-10-22T15:00:00.000Z	27 \| good	5.366 \| good	22.246 \| good	25.853 \| good	0.39 \| good	7.391 \| good	0.289 \| good
2025-10-22T16:00:00.000Z	24 \| good	3.849 \| good	14.882 \| good	25.717 \| good	0.296 \| good	5.411 \| good	0.278 \| good
2025-10-22T17:00:00.000Z	26 \| good	3.524 \| good	22.559 \| good	28.475 \| good	0.338 \| good	4.149 \| good	0.242 \| good
2025-10-22T18:00:00.000Z	28 \| good	2.426 \| good	11.608 \| good	29.629 \| good	0.254 \| good	3.875 \| good	0.204 \| good
2025-10-22T19:00:00.000Z	27 \| good	3.135 \| good	13.17 \| good	29.258 \| good	0.248 \| good	3.338 \| good	0.204 \| good
2025-10-22T20:00:00.000Z	26 \| good	3.687 \| good	13.286 \| good	28.044 \| good	0.279 \| good	5.049 \| good	0.246 \| good
2025-10-22T21:00:00.000Z	27 \| good	3.464 \| good	11.941 \| good	29.455 \| good	0.234 \| good	5.058 \| good	0.212 \| good
2025-10-22T22:00:00.000Z	27 \| good	2.905 \| good	10.73 \| good	29.102 \| good	0.245 \| good	4.535 \| good	0.212 \| good
2025-10-22T23:00:00.000Z	28 \| good	2.889 \| good	13.421 \| good	30.218 \| good	0.245 \| good	5.411 \| good	0.246 \| good
2025-10-23T00:00:00.000Z	23 \| good	4.226 \| good	18.387 \| good	25.449 \| good	0.262 \| good	8.787 \| good	0.269 \| good
2025-10-23T01:00:00.000Z	25 \| good	4.243 \| good	21.304 \| good	27.017 \| good	0.534 \| good	8.257 \| good	0.285 \| good
2025-10-23T02:00:00.000Z	22 \| good	4.356 \| good	19.439 \| good	22.346 \| good	0.283 \| good	6.732 \| good	0.285 \| good
2025-10-23T03:00:00.000Z	22 \| good	4.31 \| good	22.572 \| good	23.171 \| good	0.245 \| good	10.034 \| good	0.209 \| good
2025-10-23T04:00:00.000Z	22 \| good	3.976 \| good	16.827 \| good	21.786 \| good	0.238 \| good	10.274 \| good	0.209 \| good
2025-10-23T05:00:00.000Z	24 \| good	3.906 \| good	17.798 \| good	26.211 \| good	0.203 \| good	10.114 \| good	0.212 \| good
2025-10-23T06:00:00.000Z	23 \| good	3.071 \| good	14.808 \| good	25.426 \| good	0.235 \| good	7.629 \| good	0.209 \| good
2025-10-23T07:00:00.000Z	22 \| good	4.017 \| good	16.805 \| good	22.782 \| good	0.3 \| good	6.966 \| good	0.209 \| good
2025-10-23T08:00:00.000Z	22 \| good	3.708 \| good	22.487 \| good	20.897 \| good	0.216 \| good	6.436 \| good	0.209 \| good
2025-10-23T09:00:00.000Z	27 \| good	4.693 \| good	19.189 \| good	18.684 \| good	0.443 \| good	6.013 \| good	0.209 \| good
2025-10-23T10:00:00.000Z	22 \| good	3.937 \| good	22.441 \| good	19.84 \| good	0.287 \| good	10.857 \| good	0.213 \| good
2025-10-23T11:00:00.000Z	22 \| good	3.812 \| good	20.143 \| good	20.624 \| good	0.376 \| good	10.82 \| good	0.254 \| good
2025-10-23T12:00:00.000Z	22 \| good	3.585 \| good	12.93 \| good	13.731 \| good	0.415 \| good	12.216 \| good	0.288 \| good
2025-10-23T13:00:00.000Z	27 \| good	5.044 \| good	20.919 \| good	14.692 \| good	0.411 \| good	14.364 \| good	0.314 \| good
2025-10-23T13:00:00.000Z	27 \| good	5.044 \| good	20.919 \| good	14.692 \| good	0.411 \| good	14.364 \| good	0.314 \| good
2025-10-23T09:00:00.000Z	33 \| good	5.8 \| good	25.162 \| good	18.959 \| good	2.349 \| good	5.729 \| good	0.15 \| good
2025-10-23T10:00:00.000Z	33 \| good	5.707 \| good	24.804 \| good	16.625 \| good	2.395 \| good	6.763 \| good	0.159 \| good
2025-10-23T11:00:00.000Z	33 \| good	5.549 \| good	23.884 \| good	15.509 \| good	2.441 \| good	7.797 \| good	0.169 \| good
2025-10-23T12:00:00.000Z	27 \| good	5.114 \| good	22.018 \| good	19.467 \| good	2.486 \| good	8.831 \| good	0.178 \| good
2025-10-23T13:00:00.000Z	22 \| good	4.494 \| good	19.222 \| good	23.579 \| good	2.49 \| good	7.161 \| good	0.17 \| good
2025-10-23T14:00:00.000Z	27 \| good	2.668 \| good	11.024 \| good	29.034 \| good	2.494 \| good	5.49 \| good	0.161 \| good
2025-10-23T15:00:00.000Z	29 \| good	2.484 \| good	10.102 \| good	30.776 \| good	2.498 \| good	3.82 \| good	0.153 \| good
2025-10-23T16:00:00.000Z	30 \| good	3.045 \| good	12.199 \| good	31.595 \| good	2.182 \| good	3.514 \| good	0.149 \| good
2025-10-23T17:00:00.000Z	30 \| good	3.493 \| good	15.629 \| good	31.835 \| good	1.866 \| good	3.208 \| good	0.145 \| good
2025-10-23T18:00:00.000Z	28 \| good	3.534 \| good	15.714 \| good	30.441 \| good	1.55 \| good	2.902 \| good	0.142 \| good
2025-10-23T19:00:00.000Z	28 \| good	3.371 \| good	14.547 \| good	29.831 \| good	1.564 \| good	3.275 \| good	0.143 \| good
2025-10-23T20:00:00.000Z	27 \| good	3.575 \| good	15.693 \| good	29.347 \| good	1.579 \| good	3.648 \| good	0.145 \| good
2025-10-23T21:00:00.000Z	26 \| good	3.043 \| good	12.174 \| good	27.731 \| good	1.593 \| good	4.021 \| good	0.147 \| good
2025-10-23T22:00:00.000Z	25 \| good	2.011 \| good	7.968 \| good	26.756 \| good	1.751 \| good	7.263 \| good	0.168 \| good
2025-10-23T23:00:00.000Z	21 \| good	2.357 \| good	9.741 \| good	23.012 \| good	1.91 \| good	10.505 \| good	0.189 \| good
2025-10-24T00:00:00.000Z	22 \| good	4.477 \| good	19.758 \| good	17.469 \| good	2.069 \| good	13.747 \| good	0.211 \| good
2025-10-24T01:00:00.000Z	27 \| good	4.762 \| good	20.751 \| good	17.065 \| good	2.219 \| good	13.383 \| good	0.207 \| good
2025-10-24T02:00:00.000Z	22 \| good	3.735 \| good	16.031 \| good	19.786 \| good	2.369 \| good	13.019 \| good	0.204 \| good
2025-10-24T03:00:00.000Z	23 \| good	2.866 \| good	11.994 \| good	24.55 \| good	2.519 \| good	12.655 \| good	0.201 \| good
2025-10-24T04:00:00.000Z	26 \| good	2.733 \| good	11.086 \| good	28.09 \| good	2.718 \| good	11.298 \| good	0.194 \| good
2025-10-24T05:00:00.000Z	23 \| good	2.944 \| good	12 \| good	25.371 \| good	2.917 \| good	9.941 \| good	0.186 \| good
2025-10-24T06:00:00.000Z	19 \| good	3.232 \| good	14.086 \| good	20.833 \| good	3.116 \| good	8.584 \| good	0.179 \| good
2025-10-24T07:00:00.000Z	22 \| good	3.92 \| good	17.093 \| good	17.716 \| good	3.144 \| good	8.305 \| good	0.177 \| good
2025-10-24T08:00:00.000Z	22 \| good	4.456 \| good	19.072 \| good	14.295 \| good	3.173 \| good	8.026 \| good	0.175 \| good
2025-10-24T09:00:00.000Z	33 \| good	5.811 \| good	24.975 \| good	10.045 \| good	3.202 \| good	7.747 \| good	0.173 \| good
2025-10-24T10:00:00.000Z	44 \| good	7.959 \| good	34.678 \| good	5.011 \| good	3.254 \| good	9.091 \| good	0.191 \| good
2025-10-24T11:00:00.000Z	52 \| moderate	9.747 \| good	43.552 \| good	2.303 \| good	3.307 \| good	10.436 \| good	0.21 \| good
2025-10-24T12:00:00.000Z	52 \| moderate	9.657 \| good	42.821 \| good	6.797 \| good	3.359 \| good	11.78 \| good	0.228 \| good
2025-10-24T13:00:00.000Z	38 \| good	7.006 \| good	30.959 \| good	16.3 \| good	3.287 \| good	9.387 \| good	0.211 \| good
2025-10-24T14:00:00.000Z	22 \| good	3.985 \| good	17.158 \| good	23.647 \| good	3.215 \| good	6.993 \| good	0.195 \| good
2025-10-24T15:00:00.000Z	25 \| good	3.541 \| good	15.826 \| good	27.493 \| good	3.143 \| good	4.6 \| good	0.178 \| good
2025-10-24T16:00:00.000Z	28 \| good	3.029 \| good	12.161 \| good	30.02 \| good	2.794 \| good	4.131 \| good	0.172 \| good
2025-10-24T17:00:00.000Z	29 \| good	2.673 \| good	10.868 \| good	31.073 \| good	2.445 \| good	3.662 \| good	0.166 \| good
2025-10-24T18:00:00.000Z	31 \| good	2.305 \| good	9.728 \| good	32.751 \| good	2.095 \| good	3.193 \| good	0.16 \| good
2025-10-24T19:00:00.000Z	31 \| good	2.157 \| good	8.88 \| good	33.852 \| good	1.898 \| good	3.427 \| good	0.161 \| good
2025-10-24T20:00:00.000Z	31 \| good	2.363 \| good	9.803 \| good	33.629 \| good	1.7 \| good	3.661 \| good	0.161 \| good
2025-10-24T21:00:00.000Z	29 \| good	3.029 \| good	12.214 \| good	30.655 \| good	1.503 \| good	3.895 \| good	0.162 \| good
2025-10-24T22:00:00.000Z	27 \| good	5.216 \| good	22.869 \| good	21.087 \| good	1.563 \| good	7.67 \| good	0.187 \| good
2025-10-24T23:00:00.000Z	33 \| good	6.437 \| good	28.995 \| good	16.611 \| good	1.623 \| good	11.446 \| good	0.213 \| good
2025-10-25T00:00:00.000Z	38 \| good	7.273 \| good	31.876 \| good	13.541 \| good	1.683 \| good	15.222 \| good	0.238 \| good
2025-10-25T01:00:00.000Z	44 \| good	7.773 \| good	33.828 \| good	12.94 \| good	1.743 \| good	14.959 \| good	0.235 \| good
2025-10-25T02:00:00.000Z	44 \| good	8.003 \| good	34.829 \| good	12.111 \| good	1.804 \| good	14.696 \| good	0.233 \| good
2025-10-25T03:00:00.000Z	38 \| good	6.947 \| good	30.576 \| good	16.692 \| good	1.864 \| good	14.432 \| good	0.23 \| good
2025-10-25T04:00:00.000Z	33 \| good	6.306 \| good	28.246 \| good	17.409 \| good	1.868 \| good	13.232 \| good	0.222 \| good
2025-10-25T05:00:00.000Z	33 \| good	5.509 \| good	23.74 \| good	18.772 \| good	1.872 \| good	12.032 \| good	0.215 \| good
2025-10-25T06:00:00.000Z	33 \| good	6.365 \| good	6.474 \| good	13.212 \| good	1.862 \| good	10.753 \| good	0.207 \| good
2025-10-25T07:00:00.000Z	33 \| good	5.559 \| good	23.837 \| good	17.674 \| good	1.903 \| good	10.422 \| good	0.203 \| good
2025-10-25T08:00:00.000Z	27 \| good	5.378 \| good	22.939 \| good	16.518 \| good	1.929 \| good	10.013 \| good	0.199 \| good

Real-time air quality index in Upper Dublin, Pennsylvania today

Common air pollutants in Upper Dublin, Pennsylvania

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Upper Dublin, Pennsylvania air quality forecast and history

Empower business decisions with accurate air quality data

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

Air quality in nearby cities

Lower Gwynedd, Pennsylvania

Whitemarsh, Pennsylvania

Horsham, Pennsylvania

Springfield Township, Pennsylvania

Abington, Pennsylvania

Upper Moreland, 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 Upper Dublin, Pennsylvania updated?

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

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

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

Which pollutant is found most often in Upper Dublin, Pennsylvania?

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

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

What are the current PM10 levels at Upper Dublin, Pennsylvania?

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

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

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

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

What are the current PM₁₀ levels at Upper Dublin, Pennsylvania?

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

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

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