What is the current level of PM10 in Mccandless, Pennsylvania?

Mccandless, Pennsylvania currently has a PM10 concentration of 44.957 μg/m3.

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

The current sulfur dioxide (SO2) concentration in Mccandless, Pennsylvania is 2.239 ppb.

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

Mccandless, Pennsylvania currently has an ozone (O3) concentration of 12.93 ppm.

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

The current level of nitrogen dioxide (NO2) in Mccandless, Pennsylvania is 5.235 ppb.

Current air quality index in McCandless, Pennsylvania today

Name: Live air pollution levels in Mccandless, Pennsylvania today
Creator: Ambee

Stay updated with real-time air quality in McCandless, 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

McCandless, Pennsylvania

Last updated: ... (Local time)

Common air pollutants in McCandless, Pennsylvania

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

5.46 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

27.58 μg/m³

155

255

425

605+

Ozone (O₃)

19.92 ppb

201

201+

Sulfur Dioxide (SO₂)

1.36 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

12.47 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.32 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

McCandless, Pennsylvania

Get Live Pollen Counts

McCandless, Pennsylvania

Scroll To Air Quality Map

Track live McCandless, Pennsylvania air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T03:00:00.000Z	64 \| moderate	15.836 \| fine	62.496 \| fine	29.062 \| good	1.802 \| good	6.918 \| good	0.217 \| good
2025-10-19T04:00:00.000Z	54 \| moderate	11.27 \| good	38.699 \| good	31.628 \| good	3.696 \| good	7.394 \| good	0.239 \| good
2025-10-19T05:00:00.000Z	52 \| moderate	9.715 \| good	41.766 \| good	36.654 \| good	3.664 \| good	6.785 \| good	0.223 \| good
2025-10-19T06:00:00.000Z	54 \| moderate	11.399 \| good	44.955 \| good	11.832 \| good	2.142 \| good	8.251 \| good	0.207 \| good
2025-10-19T07:00:00.000Z	58 \| moderate	12.61 \| fine	44.957 \| good	12.93 \| good	2.239 \| good	5.235 \| good	0.187 \| good
2025-10-19T08:00:00.000Z	54 \| moderate	10.976 \| good	45.486 \| good	11.612 \| good	3.116 \| good	6.636 \| good	0.224 \| good
2025-10-19T09:00:00.000Z	54 \| moderate	11.172 \| good	51.636 \| good	16.304 \| good	3.247 \| good	6.028 \| good	0.201 \| good
2025-10-19T10:00:00.000Z	54 \| moderate	11.001 \| good	49.219 \| good	13.038 \| good	2.269 \| good	5.577 \| good	0.175 \| good
2025-10-19T11:00:00.000Z	52 \| moderate	10.412 \| good	43.723 \| good	21.61 \| good	2.951 \| good	5.749 \| good	0.198 \| good
2025-10-19T12:00:00.000Z	54 \| moderate	10.91 \| good	47.061 \| good	14.822 \| good	2.421 \| good	5.698 \| good	0.242 \| good
2025-10-19T13:00:00.000Z	52 \| moderate	10.293 \| good	48.013 \| good	29.446 \| good	1.901 \| good	5.72 \| good	0.204 \| good
2025-10-19T14:00:00.000Z	52 \| moderate	9.62 \| good	46.816 \| good	33.081 \| good	2.082 \| good	4.769 \| good	0.203 \| good
2025-10-19T15:00:00.000Z	52 \| moderate	10.421 \| good	40.083 \| good	31.488 \| good	2.398 \| good	5.009 \| good	0.213 \| good
2025-10-19T16:00:00.000Z	54 \| moderate	10.603 \| good	43.139 \| good	36.64 \| good	1.67 \| good	4.857 \| good	0.189 \| good
2025-10-19T17:00:00.000Z	54 \| moderate	10.714 \| good	47.561 \| good	44.509 \| good	2.779 \| good	4.1 \| good	0.191 \| good
2025-10-19T18:00:00.000Z	49 \| good	9.395 \| good	41.253 \| good	39.808 \| good	2.696 \| good	2.196 \| good	0.327 \| good
2025-10-19T19:00:00.000Z	44 \| good	8.289 \| good	38.301 \| good	41.574 \| good	1.416 \| good	1.976 \| good	0.147 \| good
2025-10-19T20:00:00.000Z	44 \| good	8.488 \| good	35.13 \| good	39.877 \| good	2.075 \| good	2.679 \| good	0.147 \| good
2025-10-19T21:00:00.000Z	38 \| good	6.96 \| good	28.12 \| good	38.976 \| good	1.33 \| good	2.652 \| good	0.143 \| good
2025-10-19T22:00:00.000Z	34 \| good	4.892 \| good	20.236 \| good	37.427 \| good	1.443 \| good	2.718 \| good	0.136 \| good
2025-10-19T23:00:00.000Z	31 \| good	3.534 \| good	14.489 \| good	34.367 \| good	1.53 \| good	2.431 \| good	0.136 \| good
2025-10-20T00:00:00.000Z	31 \| good	3.525 \| good	14.828 \| good	32.703 \| good	1.703 \| good	2.464 \| good	0.137 \| good
2025-10-20T01:00:00.000Z	31 \| good	2.554 \| good	9.605 \| good	34.032 \| good	3.085 \| good	2.121 \| good	0.115 \| good
2025-10-20T02:00:00.000Z	26 \| good	2.04 \| good	9.697 \| good	28.41 \| good	1.559 \| good	2.083 \| good	0.127 \| good
2025-10-20T03:00:00.000Z	23 \| good	1.724 \| good	6.685 \| good	25.475 \| good	3.118 \| good	1.823 \| good	0.113 \| good
2025-10-20T04:00:00.000Z	23 \| good	1.311 \| good	4.523 \| good	25.407 \| good	5.086 \| good	1.656 \| good	0.113 \| good
2025-10-20T05:00:00.000Z	23 \| good	1.565 \| good	4.826 \| good	25.436 \| good	5.11 \| good	1.3 \| good	0.11 \| good
2025-10-20T06:00:00.000Z	23 \| good	1.155 \| good	4.966 \| good	24.703 \| good	2.273 \| good	1.912 \| good	0.109 \| good
2025-10-20T07:00:00.000Z	24 \| good	0.893 \| good	3.955 \| good	25.563 \| good	1.867 \| good	1.557 \| good	0.106 \| good
2025-10-20T08:00:00.000Z	23 \| good	1.325 \| good	5.594 \| good	24.961 \| good	0.899 \| good	1.367 \| good	0.106 \| good
2025-10-20T09:00:00.000Z	23 \| good	2.048 \| good	10.9 \| good	24.86 \| good	1.011 \| good	1.739 \| good	0.103 \| good
2025-10-20T10:00:00.000Z	22 \| good	2.482 \| good	7.254 \| good	23.527 \| good	1.688 \| good	2.512 \| good	0.14 \| good
2025-10-20T11:00:00.000Z	24 \| good	3.224 \| good	12.357 \| good	26.2 \| good	1.577 \| good	2.841 \| good	0.12 \| good
2025-10-20T12:00:00.000Z	22 \| good	3.677 \| good	15.867 \| good	21.566 \| good	1.003 \| good	3.812 \| good	0.163 \| good
2025-10-20T13:00:00.000Z	22 \| good	3.871 \| good	17.001 \| good	22.979 \| good	0.881 \| good	5.432 \| good	0.179 \| good
2025-10-20T14:00:00.000Z	22 \| good	3.567 \| good	16.146 \| good	22.203 \| good	1.129 \| good	6.135 \| good	0.17 \| good
2025-10-20T15:00:00.000Z	22 \| good	3.878 \| good	16.516 \| good	21.098 \| good	1.782 \| good	5.604 \| good	0.156 \| good
2025-10-20T16:00:00.000Z	19 \| good	3.423 \| good	14.321 \| good	20.997 \| good	1.487 \| good	4.886 \| good	0.158 \| good
2025-10-20T17:00:00.000Z	22 \| good	3.363 \| good	13.781 \| good	24.199 \| good	1.372 \| good	4.029 \| good	0.155 \| good
2025-10-20T18:00:00.000Z	24 \| good	3.187 \| good	11.381 \| good	26.08 \| good	1.597 \| good	3.585 \| good	0.133 \| good
2025-10-20T19:00:00.000Z	25 \| good	3.002 \| good	12.783 \| good	27.101 \| good	2.417 \| good	2.943 \| good	0.13 \| good
2025-10-20T20:00:00.000Z	29 \| good	2.919 \| good	12.495 \| good	30.55 \| good	1.715 \| good	2.764 \| good	0.145 \| good
2025-10-20T21:00:00.000Z	27 \| good	2.753 \| good	11.425 \| good	29.395 \| good	1.016 \| good	2.381 \| good	0.149 \| good
2025-10-20T22:00:00.000Z	30 \| good	2.635 \| good	12.099 \| good	32.425 \| good	0.915 \| good	3.938 \| good	0.152 \| good
2025-10-20T23:00:00.000Z	26 \| good	2.552 \| good	10 \| good	27.565 \| good	0.898 \| good	3.057 \| good	0.15 \| good
2025-10-21T00:00:00.000Z	22 \| good	2.802 \| good	11.641 \| good	23.819 \| good	0.807 \| good	5.119 \| good	0.168 \| good
2025-10-21T01:00:00.000Z	19 \| good	3.213 \| good	12.486 \| good	19.9 \| good	1.469 \| good	10.384 \| good	0.209 \| good
2025-10-21T02:00:00.000Z	27 \| good	5.457 \| good	27.579 \| good	19.918 \| good	1.365 \| good	12.471 \| good	0.316 \| good
2025-10-21T02:00:00.000Z	27 \| good	5.457 \| good	27.579 \| good	19.918 \| good	1.365 \| good	12.471 \| good	0.316 \| good
2025-10-21T03:00:00.000Z	52 \| moderate	10.366 \| good	45.822 \| good	13.694 \| good	1.692 \| good	11.77 \| good	0.213 \| good
2025-10-21T04:00:00.000Z	54 \| moderate	11.345 \| good	49.93 \| good	11.639 \| good	1.88 \| good	10.308 \| good	0.204 \| good
2025-10-21T05:00:00.000Z	54 \| moderate	10.697 \| good	47.179 \| good	10.879 \| good	2.069 \| good	8.846 \| good	0.195 \| good
2025-10-21T06:00:00.000Z	49 \| good	9 \| good	39.36 \| good	9.453 \| good	2.257 \| good	7.385 \| good	0.186 \| good
2025-10-21T07:00:00.000Z	44 \| good	7.627 \| good	33.916 \| good	8.026 \| good	2.687 \| good	6.41 \| good	0.176 \| good
2025-10-21T08:00:00.000Z	33 \| good	6.383 \| good	28.037 \| good	6.807 \| good	3.117 \| good	5.435 \| good	0.167 \| good
2025-10-21T09:00:00.000Z	33 \| good	5.715 \| good	24.893 \| good	6.625 \| good	3.548 \| good	4.459 \| good	0.158 \| good
2025-10-21T10:00:00.000Z	33 \| good	5.573 \| good	23.965 \| good	7.455 \| good	3.145 \| good	4.301 \| good	0.154 \| good
2025-10-21T11:00:00.000Z	27 \| good	5.023 \| good	21.919 \| good	9.787 \| good	2.743 \| good	4.143 \| good	0.15 \| good
2025-10-21T12:00:00.000Z	22 \| good	4.042 \| good	17.94 \| good	14.556 \| good	2.341 \| good	3.984 \| good	0.146 \| good
2025-10-21T13:00:00.000Z	22 \| good	4.241 \| good	18.894 \| good	18.162 \| good	2.409 \| good	3.897 \| good	0.147 \| good
2025-10-21T14:00:00.000Z	27 \| good	5.244 \| good	22.927 \| good	18.862 \| good	2.477 \| good	3.809 \| good	0.149 \| good
2025-10-21T15:00:00.000Z	33 \| good	5.573 \| good	24.091 \| good	23.717 \| good	2.545 \| good	3.722 \| good	0.15 \| good
2025-10-21T16:00:00.000Z	33 \| good	6.122 \| good	27 \| good	31.554 \| good	2.934 \| good	3.316 \| good	0.15 \| good
2025-10-21T17:00:00.000Z	38 \| good	6.614 \| good	29.735 \| good	39.372 \| good	3.323 \| good	2.911 \| good	0.149 \| good
2025-10-21T18:00:00.000Z	43 \| good	5.476 \| good	23.805 \| good	45.654 \| good	3.711 \| good	2.506 \| good	0.148 \| good
2025-10-21T19:00:00.000Z	43 \| good	4.483 \| good	19.777 \| good	45.752 \| good	3.27 \| good	2.263 \| good	0.143 \| good
2025-10-21T20:00:00.000Z	42 \| good	3.976 \| good	17.737 \| good	44.854 \| good	2.829 \| good	2.019 \| good	0.138 \| good
2025-10-21T21:00:00.000Z	40 \| good	4.616 \| good	19.938 \| good	43.156 \| good	2.389 \| good	1.776 \| good	0.134 \| good
2025-10-21T22:00:00.000Z	36 \| good	4.75 \| good	20.802 \| good	39.001 \| good	2.104 \| good	3.15 \| good	0.143 \| good
2025-10-21T23:00:00.000Z	33 \| good	5.757 \| good	24.811 \| good	29.796 \| good	1.82 \| good	4.524 \| good	0.153 \| good
2025-10-22T00:00:00.000Z	38 \| good	6.722 \| good	29.76 \| good	24.672 \| good	1.536 \| good	5.897 \| good	0.162 \| good
2025-10-22T01:00:00.000Z	30 \| good	3.589 \| good	15.97 \| good	31.725 \| good	1.572 \| good	5.881 \| good	0.162 \| good
2025-10-22T02:00:00.000Z	29 \| good	2.608 \| good	10.414 \| good	31.125 \| good	1.609 \| good	5.864 \| good	0.161 \| good
2025-10-22T03:00:00.000Z	26 \| good	2.67 \| good	10.959 \| good	28.119 \| good	1.646 \| good	5.848 \| good	0.161 \| good
2025-10-22T04:00:00.000Z	23 \| good	3.321 \| good	14.806 \| good	24.689 \| good	1.744 \| good	5.044 \| good	0.152 \| good
2025-10-22T05:00:00.000Z	24 \| good	2.159 \| good	8.965 \| good	25.539 \| good	1.842 \| good	4.241 \| good	0.144 \| good
2025-10-22T06:00:00.000Z	24 \| good	1.278 \| good	5.167 \| good	26.054 \| good	1.94 \| good	3.438 \| good	0.135 \| good
2025-10-22T07:00:00.000Z	25 \| good	1.504 \| good	6.091 \| good	26.619 \| good	1.897 \| good	3.13 \| good	0.132 \| good
2025-10-22T08:00:00.000Z	26 \| good	1.355 \| good	5 \| good	27.915 \| good	1.853 \| good	2.821 \| good	0.13 \| good
2025-10-22T09:00:00.000Z	28 \| good	1.639 \| good	6.905 \| good	29.654 \| good	1.809 \| good	2.513 \| good	0.127 \| good
2025-10-22T10:00:00.000Z	26 \| good	1.422 \| good	5.904 \| good	27.572 \| good	1.679 \| good	2.749 \| good	0.129 \| good
2025-10-22T11:00:00.000Z	22 \| good	0.698 \| good	2.164 \| good	24.215 \| good	1.548 \| good	2.985 \| good	0.132 \| good
2025-10-22T12:00:00.000Z	23 \| good	0.79 \| good	2.96 \| good	25.203 \| good	1.417 \| good	3.221 \| good	0.135 \| good
2025-10-22T13:00:00.000Z	27 \| good	2.223 \| good	9.036 \| good	29.032 \| good	1.354 \| good	2.867 \| good	0.134 \| good
2025-10-22T14:00:00.000Z	27 \| good	3.499 \| good	15.601 \| good	29.455 \| good	1.29 \| good	2.513 \| good	0.132 \| good
2025-10-22T15:00:00.000Z	26 \| good	4.06 \| good	17.777 \| good	28.467 \| good	1.227 \| good	2.159 \| good	0.131 \| good
2025-10-22T16:00:00.000Z	25 \| good	3.864 \| good	16.854 \| good	26.961 \| good	1.284 \| good	2.28 \| good	0.132 \| good
2025-10-22T17:00:00.000Z	26 \| good	3.593 \| good	15.964 \| good	27.896 \| good	1.342 \| good	2.401 \| good	0.133 \| good
2025-10-22T18:00:00.000Z	27 \| good	3.217 \| good	14 \| good	28.939 \| good	1.399 \| good	2.522 \| good	0.134 \| good
2025-10-22T19:00:00.000Z	27 \| good	3.471 \| good	15.049 \| good	28.579 \| good	1.449 \| good	2.868 \| good	0.137 \| good
2025-10-22T20:00:00.000Z	25 \| good	3.585 \| good	15.946 \| good	27.418 \| good	1.499 \| good	3.213 \| good	0.14 \| good
2025-10-22T21:00:00.000Z	25 \| good	4.129 \| good	18.049 \| good	27.257 \| good	1.549 \| good	3.559 \| good	0.142 \| good
2025-10-22T22:00:00.000Z	23 \| good	4.078 \| good	17.866 \| good	25.201 \| good	1.52 \| good	3.723 \| good	0.143 \| good
2025-10-22T23:00:00.000Z	23 \| good	3.923 \| good	16.992 \| good	24.948 \| good	1.491 \| good	3.887 \| good	0.144 \| good
2025-10-23T00:00:00.000Z	23 \| good	3.137 \| good	3.138 \| good	24.533 \| good	1.426 \| good	4.058 \| good	0.144 \| good
2025-10-23T01:00:00.000Z	27 \| good	4.64 \| good	20.017 \| good	23.51 \| good	1.42 \| good	3.884 \| good	0.143 \| good
2025-10-23T02:00:00.000Z	27 \| good	4.514 \| good	19.791 \| good	24.263 \| good	1.378 \| good	3.716 \| good	0.141 \| good

McCandless

Empower business decisions with accurate air quality data

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

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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 Mccandless, Pennsylvania get updated?

Air quality updates for Mccandless, Pennsylvania are available every hour.

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

Mccandless, Pennsylvania experienced its worst air quality at 04:00:00, 2025-10-19.

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

The best air quality in Mccandless, Pennsylvania was observed at 05:00:00 on 2025-10-18.

What is the air quality in Mccandless, Pennsylvania right now?

The air quality in Mccandless, Pennsylvania right now is Moderate, with an AQI of 58.

What pollutant is most frequently found in Mccandless, Pennsylvania?

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

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

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

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

Mccandless, Pennsylvania currently has a PM_2.5 concentration of 12.61 μg/m³.

What is the current level of PM₁₀ in Mccandless, Pennsylvania?

Mccandless, Pennsylvania currently has a PM₁₀ concentration of 44.957 μg/m³.

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

The current carbon monoxide (CO) level in Mccandless, Pennsylvania is 0.187 ppm.

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

The current sulfur dioxide (SO₂) concentration in Mccandless, Pennsylvania is 2.239 ppb.

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

Mccandless, Pennsylvania currently has an ozone (O₃) concentration of 12.93 ppm.

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

The current level of nitrogen dioxide (NO₂) in Mccandless, Pennsylvania is 5.235 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T03:00:00.000Z	64 \| moderate	15.836 \| fine	62.496 \| fine	29.062 \| good	1.802 \| good	6.918 \| good	0.217 \| good
2025-10-19T04:00:00.000Z	54 \| moderate	11.27 \| good	38.699 \| good	31.628 \| good	3.696 \| good	7.394 \| good	0.239 \| good
2025-10-19T05:00:00.000Z	52 \| moderate	9.715 \| good	41.766 \| good	36.654 \| good	3.664 \| good	6.785 \| good	0.223 \| good
2025-10-19T06:00:00.000Z	54 \| moderate	11.399 \| good	44.955 \| good	11.832 \| good	2.142 \| good	8.251 \| good	0.207 \| good
2025-10-19T07:00:00.000Z	58 \| moderate	12.61 \| fine	44.957 \| good	12.93 \| good	2.239 \| good	5.235 \| good	0.187 \| good
2025-10-19T08:00:00.000Z	54 \| moderate	10.976 \| good	45.486 \| good	11.612 \| good	3.116 \| good	6.636 \| good	0.224 \| good
2025-10-19T09:00:00.000Z	54 \| moderate	11.172 \| good	51.636 \| good	16.304 \| good	3.247 \| good	6.028 \| good	0.201 \| good
2025-10-19T10:00:00.000Z	54 \| moderate	11.001 \| good	49.219 \| good	13.038 \| good	2.269 \| good	5.577 \| good	0.175 \| good
2025-10-19T11:00:00.000Z	52 \| moderate	10.412 \| good	43.723 \| good	21.61 \| good	2.951 \| good	5.749 \| good	0.198 \| good
2025-10-19T12:00:00.000Z	54 \| moderate	10.91 \| good	47.061 \| good	14.822 \| good	2.421 \| good	5.698 \| good	0.242 \| good
2025-10-19T13:00:00.000Z	52 \| moderate	10.293 \| good	48.013 \| good	29.446 \| good	1.901 \| good	5.72 \| good	0.204 \| good
2025-10-19T14:00:00.000Z	52 \| moderate	9.62 \| good	46.816 \| good	33.081 \| good	2.082 \| good	4.769 \| good	0.203 \| good
2025-10-19T15:00:00.000Z	52 \| moderate	10.421 \| good	40.083 \| good	31.488 \| good	2.398 \| good	5.009 \| good	0.213 \| good
2025-10-19T16:00:00.000Z	54 \| moderate	10.603 \| good	43.139 \| good	36.64 \| good	1.67 \| good	4.857 \| good	0.189 \| good
2025-10-19T17:00:00.000Z	54 \| moderate	10.714 \| good	47.561 \| good	44.509 \| good	2.779 \| good	4.1 \| good	0.191 \| good
2025-10-19T18:00:00.000Z	49 \| good	9.395 \| good	41.253 \| good	39.808 \| good	2.696 \| good	2.196 \| good	0.327 \| good
2025-10-19T19:00:00.000Z	44 \| good	8.289 \| good	38.301 \| good	41.574 \| good	1.416 \| good	1.976 \| good	0.147 \| good
2025-10-19T20:00:00.000Z	44 \| good	8.488 \| good	35.13 \| good	39.877 \| good	2.075 \| good	2.679 \| good	0.147 \| good
2025-10-19T21:00:00.000Z	38 \| good	6.96 \| good	28.12 \| good	38.976 \| good	1.33 \| good	2.652 \| good	0.143 \| good
2025-10-19T22:00:00.000Z	34 \| good	4.892 \| good	20.236 \| good	37.427 \| good	1.443 \| good	2.718 \| good	0.136 \| good
2025-10-19T23:00:00.000Z	31 \| good	3.534 \| good	14.489 \| good	34.367 \| good	1.53 \| good	2.431 \| good	0.136 \| good
2025-10-20T00:00:00.000Z	31 \| good	3.525 \| good	14.828 \| good	32.703 \| good	1.703 \| good	2.464 \| good	0.137 \| good
2025-10-20T01:00:00.000Z	31 \| good	2.554 \| good	9.605 \| good	34.032 \| good	3.085 \| good	2.121 \| good	0.115 \| good
2025-10-20T02:00:00.000Z	26 \| good	2.04 \| good	9.697 \| good	28.41 \| good	1.559 \| good	2.083 \| good	0.127 \| good
2025-10-20T03:00:00.000Z	23 \| good	1.724 \| good	6.685 \| good	25.475 \| good	3.118 \| good	1.823 \| good	0.113 \| good
2025-10-20T04:00:00.000Z	23 \| good	1.311 \| good	4.523 \| good	25.407 \| good	5.086 \| good	1.656 \| good	0.113 \| good
2025-10-20T05:00:00.000Z	23 \| good	1.565 \| good	4.826 \| good	25.436 \| good	5.11 \| good	1.3 \| good	0.11 \| good
2025-10-20T06:00:00.000Z	23 \| good	1.155 \| good	4.966 \| good	24.703 \| good	2.273 \| good	1.912 \| good	0.109 \| good
2025-10-20T07:00:00.000Z	24 \| good	0.893 \| good	3.955 \| good	25.563 \| good	1.867 \| good	1.557 \| good	0.106 \| good
2025-10-20T08:00:00.000Z	23 \| good	1.325 \| good	5.594 \| good	24.961 \| good	0.899 \| good	1.367 \| good	0.106 \| good
2025-10-20T09:00:00.000Z	23 \| good	2.048 \| good	10.9 \| good	24.86 \| good	1.011 \| good	1.739 \| good	0.103 \| good
2025-10-20T10:00:00.000Z	22 \| good	2.482 \| good	7.254 \| good	23.527 \| good	1.688 \| good	2.512 \| good	0.14 \| good
2025-10-20T11:00:00.000Z	24 \| good	3.224 \| good	12.357 \| good	26.2 \| good	1.577 \| good	2.841 \| good	0.12 \| good
2025-10-20T12:00:00.000Z	22 \| good	3.677 \| good	15.867 \| good	21.566 \| good	1.003 \| good	3.812 \| good	0.163 \| good
2025-10-20T13:00:00.000Z	22 \| good	3.871 \| good	17.001 \| good	22.979 \| good	0.881 \| good	5.432 \| good	0.179 \| good
2025-10-20T14:00:00.000Z	22 \| good	3.567 \| good	16.146 \| good	22.203 \| good	1.129 \| good	6.135 \| good	0.17 \| good
2025-10-20T15:00:00.000Z	22 \| good	3.878 \| good	16.516 \| good	21.098 \| good	1.782 \| good	5.604 \| good	0.156 \| good
2025-10-20T16:00:00.000Z	19 \| good	3.423 \| good	14.321 \| good	20.997 \| good	1.487 \| good	4.886 \| good	0.158 \| good
2025-10-20T17:00:00.000Z	22 \| good	3.363 \| good	13.781 \| good	24.199 \| good	1.372 \| good	4.029 \| good	0.155 \| good
2025-10-20T18:00:00.000Z	24 \| good	3.187 \| good	11.381 \| good	26.08 \| good	1.597 \| good	3.585 \| good	0.133 \| good
2025-10-20T19:00:00.000Z	25 \| good	3.002 \| good	12.783 \| good	27.101 \| good	2.417 \| good	2.943 \| good	0.13 \| good
2025-10-20T20:00:00.000Z	29 \| good	2.919 \| good	12.495 \| good	30.55 \| good	1.715 \| good	2.764 \| good	0.145 \| good
2025-10-20T21:00:00.000Z	27 \| good	2.753 \| good	11.425 \| good	29.395 \| good	1.016 \| good	2.381 \| good	0.149 \| good
2025-10-20T22:00:00.000Z	30 \| good	2.635 \| good	12.099 \| good	32.425 \| good	0.915 \| good	3.938 \| good	0.152 \| good
2025-10-20T23:00:00.000Z	26 \| good	2.552 \| good	10 \| good	27.565 \| good	0.898 \| good	3.057 \| good	0.15 \| good
2025-10-21T00:00:00.000Z	22 \| good	2.802 \| good	11.641 \| good	23.819 \| good	0.807 \| good	5.119 \| good	0.168 \| good
2025-10-21T01:00:00.000Z	19 \| good	3.213 \| good	12.486 \| good	19.9 \| good	1.469 \| good	10.384 \| good	0.209 \| good
2025-10-21T02:00:00.000Z	27 \| good	5.457 \| good	27.579 \| good	19.918 \| good	1.365 \| good	12.471 \| good	0.316 \| good
2025-10-21T02:00:00.000Z	27 \| good	5.457 \| good	27.579 \| good	19.918 \| good	1.365 \| good	12.471 \| good	0.316 \| good
2025-10-21T03:00:00.000Z	52 \| moderate	10.366 \| good	45.822 \| good	13.694 \| good	1.692 \| good	11.77 \| good	0.213 \| good
2025-10-21T04:00:00.000Z	54 \| moderate	11.345 \| good	49.93 \| good	11.639 \| good	1.88 \| good	10.308 \| good	0.204 \| good
2025-10-21T05:00:00.000Z	54 \| moderate	10.697 \| good	47.179 \| good	10.879 \| good	2.069 \| good	8.846 \| good	0.195 \| good
2025-10-21T06:00:00.000Z	49 \| good	9 \| good	39.36 \| good	9.453 \| good	2.257 \| good	7.385 \| good	0.186 \| good
2025-10-21T07:00:00.000Z	44 \| good	7.627 \| good	33.916 \| good	8.026 \| good	2.687 \| good	6.41 \| good	0.176 \| good
2025-10-21T08:00:00.000Z	33 \| good	6.383 \| good	28.037 \| good	6.807 \| good	3.117 \| good	5.435 \| good	0.167 \| good
2025-10-21T09:00:00.000Z	33 \| good	5.715 \| good	24.893 \| good	6.625 \| good	3.548 \| good	4.459 \| good	0.158 \| good
2025-10-21T10:00:00.000Z	33 \| good	5.573 \| good	23.965 \| good	7.455 \| good	3.145 \| good	4.301 \| good	0.154 \| good
2025-10-21T11:00:00.000Z	27 \| good	5.023 \| good	21.919 \| good	9.787 \| good	2.743 \| good	4.143 \| good	0.15 \| good
2025-10-21T12:00:00.000Z	22 \| good	4.042 \| good	17.94 \| good	14.556 \| good	2.341 \| good	3.984 \| good	0.146 \| good
2025-10-21T13:00:00.000Z	22 \| good	4.241 \| good	18.894 \| good	18.162 \| good	2.409 \| good	3.897 \| good	0.147 \| good
2025-10-21T14:00:00.000Z	27 \| good	5.244 \| good	22.927 \| good	18.862 \| good	2.477 \| good	3.809 \| good	0.149 \| good
2025-10-21T15:00:00.000Z	33 \| good	5.573 \| good	24.091 \| good	23.717 \| good	2.545 \| good	3.722 \| good	0.15 \| good
2025-10-21T16:00:00.000Z	33 \| good	6.122 \| good	27 \| good	31.554 \| good	2.934 \| good	3.316 \| good	0.15 \| good
2025-10-21T17:00:00.000Z	38 \| good	6.614 \| good	29.735 \| good	39.372 \| good	3.323 \| good	2.911 \| good	0.149 \| good
2025-10-21T18:00:00.000Z	43 \| good	5.476 \| good	23.805 \| good	45.654 \| good	3.711 \| good	2.506 \| good	0.148 \| good
2025-10-21T19:00:00.000Z	43 \| good	4.483 \| good	19.777 \| good	45.752 \| good	3.27 \| good	2.263 \| good	0.143 \| good
2025-10-21T20:00:00.000Z	42 \| good	3.976 \| good	17.737 \| good	44.854 \| good	2.829 \| good	2.019 \| good	0.138 \| good
2025-10-21T21:00:00.000Z	40 \| good	4.616 \| good	19.938 \| good	43.156 \| good	2.389 \| good	1.776 \| good	0.134 \| good
2025-10-21T22:00:00.000Z	36 \| good	4.75 \| good	20.802 \| good	39.001 \| good	2.104 \| good	3.15 \| good	0.143 \| good
2025-10-21T23:00:00.000Z	33 \| good	5.757 \| good	24.811 \| good	29.796 \| good	1.82 \| good	4.524 \| good	0.153 \| good
2025-10-22T00:00:00.000Z	38 \| good	6.722 \| good	29.76 \| good	24.672 \| good	1.536 \| good	5.897 \| good	0.162 \| good
2025-10-22T01:00:00.000Z	30 \| good	3.589 \| good	15.97 \| good	31.725 \| good	1.572 \| good	5.881 \| good	0.162 \| good
2025-10-22T02:00:00.000Z	29 \| good	2.608 \| good	10.414 \| good	31.125 \| good	1.609 \| good	5.864 \| good	0.161 \| good
2025-10-22T03:00:00.000Z	26 \| good	2.67 \| good	10.959 \| good	28.119 \| good	1.646 \| good	5.848 \| good	0.161 \| good
2025-10-22T04:00:00.000Z	23 \| good	3.321 \| good	14.806 \| good	24.689 \| good	1.744 \| good	5.044 \| good	0.152 \| good
2025-10-22T05:00:00.000Z	24 \| good	2.159 \| good	8.965 \| good	25.539 \| good	1.842 \| good	4.241 \| good	0.144 \| good
2025-10-22T06:00:00.000Z	24 \| good	1.278 \| good	5.167 \| good	26.054 \| good	1.94 \| good	3.438 \| good	0.135 \| good
2025-10-22T07:00:00.000Z	25 \| good	1.504 \| good	6.091 \| good	26.619 \| good	1.897 \| good	3.13 \| good	0.132 \| good
2025-10-22T08:00:00.000Z	26 \| good	1.355 \| good	5 \| good	27.915 \| good	1.853 \| good	2.821 \| good	0.13 \| good
2025-10-22T09:00:00.000Z	28 \| good	1.639 \| good	6.905 \| good	29.654 \| good	1.809 \| good	2.513 \| good	0.127 \| good
2025-10-22T10:00:00.000Z	26 \| good	1.422 \| good	5.904 \| good	27.572 \| good	1.679 \| good	2.749 \| good	0.129 \| good
2025-10-22T11:00:00.000Z	22 \| good	0.698 \| good	2.164 \| good	24.215 \| good	1.548 \| good	2.985 \| good	0.132 \| good
2025-10-22T12:00:00.000Z	23 \| good	0.79 \| good	2.96 \| good	25.203 \| good	1.417 \| good	3.221 \| good	0.135 \| good
2025-10-22T13:00:00.000Z	27 \| good	2.223 \| good	9.036 \| good	29.032 \| good	1.354 \| good	2.867 \| good	0.134 \| good
2025-10-22T14:00:00.000Z	27 \| good	3.499 \| good	15.601 \| good	29.455 \| good	1.29 \| good	2.513 \| good	0.132 \| good
2025-10-22T15:00:00.000Z	26 \| good	4.06 \| good	17.777 \| good	28.467 \| good	1.227 \| good	2.159 \| good	0.131 \| good
2025-10-22T16:00:00.000Z	25 \| good	3.864 \| good	16.854 \| good	26.961 \| good	1.284 \| good	2.28 \| good	0.132 \| good
2025-10-22T17:00:00.000Z	26 \| good	3.593 \| good	15.964 \| good	27.896 \| good	1.342 \| good	2.401 \| good	0.133 \| good
2025-10-22T18:00:00.000Z	27 \| good	3.217 \| good	14 \| good	28.939 \| good	1.399 \| good	2.522 \| good	0.134 \| good
2025-10-22T19:00:00.000Z	27 \| good	3.471 \| good	15.049 \| good	28.579 \| good	1.449 \| good	2.868 \| good	0.137 \| good
2025-10-22T20:00:00.000Z	25 \| good	3.585 \| good	15.946 \| good	27.418 \| good	1.499 \| good	3.213 \| good	0.14 \| good
2025-10-22T21:00:00.000Z	25 \| good	4.129 \| good	18.049 \| good	27.257 \| good	1.549 \| good	3.559 \| good	0.142 \| good
2025-10-22T22:00:00.000Z	23 \| good	4.078 \| good	17.866 \| good	25.201 \| good	1.52 \| good	3.723 \| good	0.143 \| good
2025-10-22T23:00:00.000Z	23 \| good	3.923 \| good	16.992 \| good	24.948 \| good	1.491 \| good	3.887 \| good	0.144 \| good
2025-10-23T00:00:00.000Z	23 \| good	3.137 \| good	3.138 \| good	24.533 \| good	1.426 \| good	4.058 \| good	0.144 \| good
2025-10-23T01:00:00.000Z	27 \| good	4.64 \| good	20.017 \| good	23.51 \| good	1.42 \| good	3.884 \| good	0.143 \| good
2025-10-23T02:00:00.000Z	27 \| good	4.514 \| good	19.791 \| good	24.263 \| good	1.378 \| good	3.716 \| good	0.141 \| good

Current air quality index in McCandless, Pennsylvania today

Common air pollutants in McCandless, Pennsylvania

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live McCandless, Pennsylvania air quality forecast and history

Empower business decisions with accurate air quality data

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

Air quality in nearby cities

McCandless, Pennsylvania

Pine Township, Pennsylvania

Franklin Park, Pennsylvania

Ross Township, Pennsylvania

Shaler, Pennsylvania

West Deer, Pennsylvania

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Air quality levels in US

Frequently asked questions

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

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

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What is the air quality in Mccandless, Pennsylvania right now?

What pollutant is most frequently found in Mccandless, Pennsylvania?

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

What is the current level of PM10 in Mccandless, Pennsylvania?

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

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

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

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

What is the current level of PM₁₀ in Mccandless, Pennsylvania?

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

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

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