What are the current PM10 levels at Mckeesport, Pennsylvania?

The current PM10 levels in Mckeesport, Pennsylvania are 19.47 μg/m3.

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

The current sulfur dioxide (SO2) levels in Mckeesport, Pennsylvania are 1.19 ppb.

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

The current ozone (O3) levels at Mckeesport, Pennsylvania is 16.719 ppm.

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

The current nitrogen dioxide (NO2) levels at Mckeesport, Pennsylvania is 14.067 ppb.

Real-time air quality index in McKeesport, Pennsylvania today

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

Stay updated with real-time air quality in McKeesport, 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

McKeesport, Pennsylvania

Last updated: ... (Local time)

Common air pollutants in McKeesport, Pennsylvania

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

4.32 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

19.47 μg/m³

155

255

425

605+

Ozone (O₃)

16.72 ppb

201

201+

Sulfur Dioxide (SO₂)

1.19 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

14.07 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.27 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

McKeesport, Pennsylvania

Get Live Pollen Counts

McKeesport, Pennsylvania

Scroll To Air Quality Map

Track live McKeesport, Pennsylvania air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T03:00:00.000Z	52 \| moderate	10.38 \| good	46.077 \| good	21.381 \| good	1.464 \| good	7.261 \| good	0.223 \| good
2025-10-19T04:00:00.000Z	52 \| moderate	10.38 \| good	46.077 \| good	26.139 \| good	2.837 \| good	7.256 \| good	0.245 \| good
2025-10-19T05:00:00.000Z	56 \| moderate	12.213 \| fine	54.2 \| good	19.576 \| good	2.807 \| good	5.921 \| good	0.232 \| good
2025-10-19T06:00:00.000Z	56 \| moderate	12.416 \| fine	55.671 \| fine	20.498 \| good	1.587 \| good	6.186 \| good	0.212 \| good
2025-10-19T07:00:00.000Z	56 \| moderate	12.458 \| fine	56.526 \| fine	14.909 \| good	1.729 \| good	6.025 \| good	0.21 \| good
2025-10-19T08:00:00.000Z	56 \| moderate	12.022 \| good	54.35 \| good	13.915 \| good	2.565 \| good	6.843 \| good	0.245 \| good
2025-10-19T09:00:00.000Z	58 \| moderate	12.934 \| fine	57.648 \| fine	9.813 \| good	2.876 \| good	5.873 \| good	0.235 \| good
2025-10-19T10:00:00.000Z	56 \| moderate	12.359 \| fine	55.004 \| fine	15.577 \| good	1.947 \| good	5.759 \| good	0.204 \| good
2025-10-19T11:00:00.000Z	52 \| moderate	10.326 \| good	45.758 \| good	19.163 \| good	2.634 \| good	5.931 \| good	0.223 \| good
2025-10-19T12:00:00.000Z	52 \| moderate	10.326 \| good	45.758 \| good	17.185 \| good	2.231 \| good	5.688 \| good	0.261 \| good
2025-10-19T13:00:00.000Z	52 \| moderate	9.866 \| good	43.986 \| good	24.138 \| good	1.768 \| good	5.682 \| good	0.226 \| good
2025-10-19T14:00:00.000Z	52 \| moderate	9.656 \| good	42.799 \| good	32.059 \| good	1.938 \| good	4.635 \| good	0.217 \| good
2025-10-19T15:00:00.000Z	52 \| moderate	9.987 \| good	44.83 \| good	32.605 \| good	2.243 \| good	4.774 \| good	0.235 \| good
2025-10-19T16:00:00.000Z	52 \| moderate	9.973 \| good	44.719 \| good	34.116 \| good	1.529 \| good	4.671 \| good	0.215 \| good
2025-10-19T17:00:00.000Z	52 \| moderate	9.893 \| good	44.145 \| good	39.493 \| good	2.52 \| good	2.626 \| good	0.216 \| good
2025-10-19T18:00:00.000Z	49 \| good	9.363 \| good	41.573 \| good	38.099 \| good	2.441 \| good	1.995 \| good	0.322 \| good
2025-10-19T19:00:00.000Z	44 \| good	8.225 \| good	36.832 \| good	39.908 \| good	1.319 \| good	2.189 \| good	0.177 \| good
2025-10-19T20:00:00.000Z	44 \| good	8.225 \| good	36.832 \| good	38.337 \| good	1.952 \| good	2.294 \| good	0.177 \| good
2025-10-19T21:00:00.000Z	38 \| good	7.386 \| good	32.481 \| good	38.726 \| good	1.171 \| good	2.655 \| good	0.162 \| good
2025-10-19T22:00:00.000Z	34 \| good	5.748 \| good	25.459 \| good	36.523 \| good	1.287 \| good	2.714 \| good	0.161 \| good
2025-10-19T23:00:00.000Z	31 \| good	4.722 \| good	20.588 \| good	32.717 \| good	1.441 \| good	2.547 \| good	0.159 \| good
2025-10-20T00:00:00.000Z	31 \| good	3.88 \| good	17.127 \| good	33.93 \| good	1.635 \| good	2.518 \| good	0.159 \| good
2025-10-20T01:00:00.000Z	32 \| good	3.096 \| good	13.322 \| good	35.269 \| good	3.042 \| good	2.105 \| good	0.141 \| good
2025-10-20T02:00:00.000Z	25 \| good	3.029 \| good	13.135 \| good	26.884 \| good	1.512 \| good	2.063 \| good	0.141 \| good
2025-10-20T03:00:00.000Z	24 \| good	2.817 \| good	12.326 \| good	26.416 \| good	3.108 \| good	1.678 \| good	0.139 \| good
2025-10-20T04:00:00.000Z	25 \| good	1.965 \| good	8.279 \| good	27.094 \| good	5.043 \| good	2.149 \| good	0.139 \| good
2025-10-20T05:00:00.000Z	24 \| good	1.913 \| good	8.021 \| good	26.303 \| good	5.102 \| good	1.795 \| good	0.124 \| good
2025-10-20T06:00:00.000Z	23 \| good	1.417 \| good	6.065 \| good	25.333 \| good	2.189 \| good	2.035 \| good	0.123 \| good
2025-10-20T07:00:00.000Z	21 \| good	1.013 \| good	4.155 \| good	22.994 \| good	1.852 \| good	1.69 \| good	0.121 \| good
2025-10-20T08:00:00.000Z	23 \| good	0.934 \| good	3.751 \| good	24.661 \| good	0.863 \| good	1.451 \| good	0.121 \| good
2025-10-20T09:00:00.000Z	22 \| good	1.468 \| good	6.062 \| good	24.439 \| good	0.987 \| good	1.808 \| good	0.121 \| good
2025-10-20T10:00:00.000Z	22 \| good	2.164 \| good	9.027 \| good	24.43 \| good	1.732 \| good	2.409 \| good	0.14 \| good
2025-10-20T11:00:00.000Z	23 \| good	2.893 \| good	12.339 \| good	25.457 \| good	1.605 \| good	2.895 \| good	0.138 \| good
2025-10-20T12:00:00.000Z	22 \| good	3.76 \| good	16.706 \| good	22.58 \| good	0.867 \| good	3.928 \| good	0.15 \| good
2025-10-20T13:00:00.000Z	22 \| good	3.799 \| good	16.964 \| good	21.406 \| good	0.713 \| good	5.586 \| good	0.167 \| good
2025-10-20T14:00:00.000Z	22 \| good	3.856 \| good	17.071 \| good	21.05 \| good	0.969 \| good	6.209 \| good	0.17 \| good
2025-10-20T15:00:00.000Z	22 \| good	3.815 \| good	17.071 \| good	20.269 \| good	1.784 \| good	5.212 \| good	0.155 \| good
2025-10-20T16:00:00.000Z	19 \| good	3.376 \| good	14.569 \| good	20.253 \| good	1.319 \| good	4.495 \| good	0.143 \| good
2025-10-20T17:00:00.000Z	20 \| good	3.337 \| good	14.44 \| good	21.545 \| good	1.237 \| good	3.663 \| good	0.14 \| good
2025-10-20T18:00:00.000Z	23 \| good	3.091 \| good	13.245 \| good	25.052 \| good	1.499 \| good	3.115 \| good	0.135 \| good
2025-10-20T19:00:00.000Z	25 \| good	2.861 \| good	11.974 \| good	26.529 \| good	2.385 \| good	2.698 \| good	0.133 \| good
2025-10-20T20:00:00.000Z	27 \| good	2.848 \| good	12.018 \| good	28.703 \| good	1.622 \| good	2.523 \| good	0.137 \| good
2025-10-20T21:00:00.000Z	27 \| good	2.774 \| good	11.734 \| good	28.973 \| good	0.931 \| good	2.153 \| good	0.14 \| good
2025-10-20T22:00:00.000Z	29 \| good	2.728 \| good	11.267 \| good	31.244 \| good	0.825 \| good	2.536 \| good	0.143 \| good
2025-10-20T23:00:00.000Z	26 \| good	2.65 \| good	10.769 \| good	27.585 \| good	0.799 \| good	2.441 \| good	0.139 \| good
2025-10-21T00:00:00.000Z	22 \| good	2.752 \| good	11.338 \| good	24.312 \| good	0.743 \| good	6.079 \| good	0.145 \| good
2025-10-21T01:00:00.000Z	19 \| good	2.838 \| good	12.143 \| good	20.881 \| good	1.276 \| good	9.071 \| good	0.165 \| good
2025-10-21T02:00:00.000Z	22 \| good	4.099 \| good	18.394 \| good	16.686 \| good	1.204 \| good	13.582 \| good	0.271 \| good
2025-10-21T02:00:00.000Z	22 \| good	4.316 \| good	19.47 \| good	16.719 \| good	1.19 \| good	14.067 \| good	0.268 \| good
2025-10-21T03:00:00.000Z	52 \| moderate	9.864 \| good	43.91 \| good	15.117 \| good	2.018 \| good	12.428 \| good	0.221 \| good
2025-10-21T04:00:00.000Z	49 \| good	8.784 \| good	38.729 \| good	12.501 \| good	2.147 \| good	10.721 \| good	0.21 \| good
2025-10-21T05:00:00.000Z	38 \| good	7.115 \| good	31.59 \| good	11.716 \| good	2.275 \| good	9.013 \| good	0.199 \| good
2025-10-21T06:00:00.000Z	33 \| good	5.579 \| good	23.724 \| good	11.356 \| good	2.404 \| good	7.306 \| good	0.187 \| good
2025-10-21T07:00:00.000Z	33 \| good	6.147 \| good	27.158 \| good	11.52 \| good	2.706 \| good	6.2 \| good	0.175 \| good
2025-10-21T08:00:00.000Z	33 \| good	5.661 \| good	24.292 \| good	11.755 \| good	3.008 \| good	5.094 \| good	0.163 \| good
2025-10-21T09:00:00.000Z	22 \| good	4.05 \| good	17.529 \| good	12.366 \| good	3.31 \| good	3.988 \| good	0.151 \| good
2025-10-21T10:00:00.000Z	27 \| good	4.567 \| good	20.152 \| good	12.988 \| good	2.792 \| good	3.939 \| good	0.148 \| good
2025-10-21T11:00:00.000Z	22 \| good	3.677 \| good	16.221 \| good	15.333 \| good	2.274 \| good	3.89 \| good	0.145 \| good
2025-10-21T12:00:00.000Z	22 \| good	4.357 \| good	18.88 \| good	18.592 \| good	1.755 \| good	3.842 \| good	0.142 \| good
2025-10-21T13:00:00.000Z	22 \| good	4.04 \| good	17.856 \| good	21.644 \| good	1.989 \| good	3.777 \| good	0.145 \| good
2025-10-21T14:00:00.000Z	27 \| good	5.029 \| good	21.888 \| good	24.016 \| good	2.223 \| good	3.712 \| good	0.147 \| good
2025-10-21T15:00:00.000Z	27 \| good	5.05 \| good	21.932 \| good	24.355 \| good	2.457 \| good	3.647 \| good	0.149 \| good
2025-10-21T16:00:00.000Z	33 \| good	5.792 \| good	25.103 \| good	32.344 \| good	2.94 \| good	3.275 \| good	0.149 \| good
2025-10-21T17:00:00.000Z	38 \| good	7.332 \| good	32.003 \| good	40.184 \| good	3.422 \| good	2.903 \| good	0.149 \| good
2025-10-21T18:00:00.000Z	44 \| good	6.799 \| good	29.954 \| good	47.237 \| good	3.905 \| good	2.531 \| good	0.149 \| good
2025-10-21T19:00:00.000Z	44 \| good	5.259 \| good	22.708 \| good	47.908 \| good	3.536 \| good	2.336 \| good	0.144 \| good
2025-10-21T20:00:00.000Z	41 \| good	4.515 \| good	19.876 \| good	44.214 \| good	3.167 \| good	2.141 \| good	0.14 \| good
2025-10-21T21:00:00.000Z	39 \| good	5.067 \| good	21.893 \| good	42.344 \| good	2.799 \| good	1.946 \| good	0.136 \| good
2025-10-21T22:00:00.000Z	34 \| good	4.951 \| good	21.22 \| good	37.21 \| good	2.471 \| good	3.524 \| good	0.146 \| good
2025-10-21T23:00:00.000Z	27 \| good	4.994 \| good	21.588 \| good	27.464 \| good	2.144 \| good	5.103 \| good	0.157 \| good
2025-10-22T00:00:00.000Z	27 \| good	5.054 \| good	21.824 \| good	22.204 \| good	1.816 \| good	6.681 \| good	0.168 \| good
2025-10-22T01:00:00.000Z	27 \| good	2.311 \| good	9.379 \| good	29.048 \| good	1.852 \| good	6.594 \| good	0.167 \| good
2025-10-22T02:00:00.000Z	27 \| good	2.118 \| good	8.387 \| good	29.081 \| good	1.888 \| good	6.507 \| good	0.166 \| good
2025-10-22T03:00:00.000Z	24 \| good	3.794 \| good	16.753 \| good	26.466 \| good	1.924 \| good	6.42 \| good	0.165 \| good
2025-10-22T04:00:00.000Z	25 \| good	2.783 \| good	11.209 \| good	26.709 \| good	2.032 \| good	5.513 \| good	0.156 \| good
2025-10-22T05:00:00.000Z	26 \| good	1.847 \| good	7.684 \| good	28.403 \| good	2.141 \| good	4.605 \| good	0.147 \| good
2025-10-22T06:00:00.000Z	27 \| good	1.346 \| good	5.028 \| good	28.852 \| good	2.249 \| good	3.698 \| good	0.137 \| good
2025-10-22T07:00:00.000Z	28 \| good	1.986 \| good	7.991 \| good	29.798 \| good	2.201 \| good	3.392 \| good	0.135 \| good
2025-10-22T08:00:00.000Z	29 \| good	1.983 \| good	7.984 \| good	30.884 \| good	2.153 \| good	3.086 \| good	0.132 \| good
2025-10-22T09:00:00.000Z	29 \| good	1.743 \| good	7.156 \| good	31.241 \| good	2.106 \| good	2.781 \| good	0.129 \| good
2025-10-22T10:00:00.000Z	26 \| good	1.305 \| good	5.053 \| good	28.3 \| good	1.972 \| good	3.08 \| good	0.132 \| good
2025-10-22T11:00:00.000Z	24 \| good	0.942 \| good	3.833 \| good	25.733 \| good	1.838 \| good	3.378 \| good	0.135 \| good
2025-10-22T12:00:00.000Z	25 \| good	1.832 \| good	7.631 \| good	27.108 \| good	1.704 \| good	3.677 \| good	0.138 \| good
2025-10-22T13:00:00.000Z	29 \| good	1.952 \| good	7.952 \| good	31.196 \| good	1.64 \| good	3.261 \| good	0.136 \| good
2025-10-22T14:00:00.000Z	30 \| good	2.874 \| good	11.772 \| good	31.646 \| good	1.575 \| good	2.846 \| good	0.135 \| good
2025-10-22T15:00:00.000Z	29 \| good	4.113 \| good	18.071 \| good	30.974 \| good	1.511 \| good	2.43 \| good	0.133 \| good
2025-10-22T16:00:00.000Z	26 \| good	3.999 \| good	17.432 \| good	27.96 \| good	1.553 \| good	2.508 \| good	0.134 \| good
2025-10-22T17:00:00.000Z	27 \| good	3.953 \| good	17.14 \| good	29.308 \| good	1.595 \| good	2.586 \| good	0.135 \| good
2025-10-22T18:00:00.000Z	29 \| good	3.809 \| good	16.703 \| good	30.935 \| good	1.637 \| good	2.664 \| good	0.136 \| good
2025-10-22T19:00:00.000Z	30 \| good	3.729 \| good	16.046 \| good	32.011 \| good	1.686 \| good	3.017 \| good	0.139 \| good
2025-10-22T20:00:00.000Z	29 \| good	3.852 \| good	16.913 \| good	31.14 \| good	1.735 \| good	3.369 \| good	0.141 \| good
2025-10-22T21:00:00.000Z	29 \| good	4.35 \| good	18.966 \| good	30.712 \| good	1.784 \| good	3.721 \| good	0.144 \| good
2025-10-22T22:00:00.000Z	25 \| good	4.438 \| good	19.156 \| good	26.925 \| good	1.778 \| good	3.929 \| good	0.145 \| good
2025-10-22T23:00:00.000Z	27 \| good	4.553 \| good	19.999 \| good	26.164 \| good	1.772 \| good	4.137 \| good	0.146 \| good
2025-10-23T00:00:00.000Z	22 \| good	3.458 \| good	3.46 \| good	24.321 \| good	1.77 \| good	4.4 \| good	0.148 \| good
2025-10-23T01:00:00.000Z	27 \| good	4.56 \| good	19.976 \| good	25.415 \| good	1.73 \| good	4.171 \| good	0.145 \| good
2025-10-23T02:00:00.000Z	23 \| good	4.477 \| good	19.37 \| good	25.044 \| good	1.693 \| good	3.996 \| good	0.144 \| good

McKeesport

Empower business decisions with accurate air quality data

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

0.16ppm

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 Mckeesport, Pennsylvania updated?

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

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

The worst air quality in Mckeesport, Pennsylvania was recorded at 10:00:00 on 2025-10-20.

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

The best air quality in Mckeesport, Pennsylvania was recorded at 01:00:00 on 2025-10-21.

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

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

Which pollutant is found most often in Mckeesport, Pennsylvania?

The most common pollutant in Mckeesport, Pennsylvania is PM2.5.

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

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

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

The measured PM_2.5 levels in Mckeesport, Pennsylvania at present are 4.316 μg/m³.

What are the current PM₁₀ levels at Mckeesport, Pennsylvania?

The current PM₁₀ levels in Mckeesport, Pennsylvania are 19.47 μg/m³.

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

The current carbon monoxide (CO) level in Mckeesport, Pennsylvania is 0.268 ppm.

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

The current sulfur dioxide (SO₂) levels in Mckeesport, Pennsylvania are 1.19 ppb.

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

The current ozone (O₃) levels at Mckeesport, Pennsylvania is 16.719 ppm.

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

The current nitrogen dioxide (NO₂) levels at Mckeesport, Pennsylvania is 14.067 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T03:00:00.000Z	52 \| moderate	10.38 \| good	46.077 \| good	21.381 \| good	1.464 \| good	7.261 \| good	0.223 \| good
2025-10-19T04:00:00.000Z	52 \| moderate	10.38 \| good	46.077 \| good	26.139 \| good	2.837 \| good	7.256 \| good	0.245 \| good
2025-10-19T05:00:00.000Z	56 \| moderate	12.213 \| fine	54.2 \| good	19.576 \| good	2.807 \| good	5.921 \| good	0.232 \| good
2025-10-19T06:00:00.000Z	56 \| moderate	12.416 \| fine	55.671 \| fine	20.498 \| good	1.587 \| good	6.186 \| good	0.212 \| good
2025-10-19T07:00:00.000Z	56 \| moderate	12.458 \| fine	56.526 \| fine	14.909 \| good	1.729 \| good	6.025 \| good	0.21 \| good
2025-10-19T08:00:00.000Z	56 \| moderate	12.022 \| good	54.35 \| good	13.915 \| good	2.565 \| good	6.843 \| good	0.245 \| good
2025-10-19T09:00:00.000Z	58 \| moderate	12.934 \| fine	57.648 \| fine	9.813 \| good	2.876 \| good	5.873 \| good	0.235 \| good
2025-10-19T10:00:00.000Z	56 \| moderate	12.359 \| fine	55.004 \| fine	15.577 \| good	1.947 \| good	5.759 \| good	0.204 \| good
2025-10-19T11:00:00.000Z	52 \| moderate	10.326 \| good	45.758 \| good	19.163 \| good	2.634 \| good	5.931 \| good	0.223 \| good
2025-10-19T12:00:00.000Z	52 \| moderate	10.326 \| good	45.758 \| good	17.185 \| good	2.231 \| good	5.688 \| good	0.261 \| good
2025-10-19T13:00:00.000Z	52 \| moderate	9.866 \| good	43.986 \| good	24.138 \| good	1.768 \| good	5.682 \| good	0.226 \| good
2025-10-19T14:00:00.000Z	52 \| moderate	9.656 \| good	42.799 \| good	32.059 \| good	1.938 \| good	4.635 \| good	0.217 \| good
2025-10-19T15:00:00.000Z	52 \| moderate	9.987 \| good	44.83 \| good	32.605 \| good	2.243 \| good	4.774 \| good	0.235 \| good
2025-10-19T16:00:00.000Z	52 \| moderate	9.973 \| good	44.719 \| good	34.116 \| good	1.529 \| good	4.671 \| good	0.215 \| good
2025-10-19T17:00:00.000Z	52 \| moderate	9.893 \| good	44.145 \| good	39.493 \| good	2.52 \| good	2.626 \| good	0.216 \| good
2025-10-19T18:00:00.000Z	49 \| good	9.363 \| good	41.573 \| good	38.099 \| good	2.441 \| good	1.995 \| good	0.322 \| good
2025-10-19T19:00:00.000Z	44 \| good	8.225 \| good	36.832 \| good	39.908 \| good	1.319 \| good	2.189 \| good	0.177 \| good
2025-10-19T20:00:00.000Z	44 \| good	8.225 \| good	36.832 \| good	38.337 \| good	1.952 \| good	2.294 \| good	0.177 \| good
2025-10-19T21:00:00.000Z	38 \| good	7.386 \| good	32.481 \| good	38.726 \| good	1.171 \| good	2.655 \| good	0.162 \| good
2025-10-19T22:00:00.000Z	34 \| good	5.748 \| good	25.459 \| good	36.523 \| good	1.287 \| good	2.714 \| good	0.161 \| good
2025-10-19T23:00:00.000Z	31 \| good	4.722 \| good	20.588 \| good	32.717 \| good	1.441 \| good	2.547 \| good	0.159 \| good
2025-10-20T00:00:00.000Z	31 \| good	3.88 \| good	17.127 \| good	33.93 \| good	1.635 \| good	2.518 \| good	0.159 \| good
2025-10-20T01:00:00.000Z	32 \| good	3.096 \| good	13.322 \| good	35.269 \| good	3.042 \| good	2.105 \| good	0.141 \| good
2025-10-20T02:00:00.000Z	25 \| good	3.029 \| good	13.135 \| good	26.884 \| good	1.512 \| good	2.063 \| good	0.141 \| good
2025-10-20T03:00:00.000Z	24 \| good	2.817 \| good	12.326 \| good	26.416 \| good	3.108 \| good	1.678 \| good	0.139 \| good
2025-10-20T04:00:00.000Z	25 \| good	1.965 \| good	8.279 \| good	27.094 \| good	5.043 \| good	2.149 \| good	0.139 \| good
2025-10-20T05:00:00.000Z	24 \| good	1.913 \| good	8.021 \| good	26.303 \| good	5.102 \| good	1.795 \| good	0.124 \| good
2025-10-20T06:00:00.000Z	23 \| good	1.417 \| good	6.065 \| good	25.333 \| good	2.189 \| good	2.035 \| good	0.123 \| good
2025-10-20T07:00:00.000Z	21 \| good	1.013 \| good	4.155 \| good	22.994 \| good	1.852 \| good	1.69 \| good	0.121 \| good
2025-10-20T08:00:00.000Z	23 \| good	0.934 \| good	3.751 \| good	24.661 \| good	0.863 \| good	1.451 \| good	0.121 \| good
2025-10-20T09:00:00.000Z	22 \| good	1.468 \| good	6.062 \| good	24.439 \| good	0.987 \| good	1.808 \| good	0.121 \| good
2025-10-20T10:00:00.000Z	22 \| good	2.164 \| good	9.027 \| good	24.43 \| good	1.732 \| good	2.409 \| good	0.14 \| good
2025-10-20T11:00:00.000Z	23 \| good	2.893 \| good	12.339 \| good	25.457 \| good	1.605 \| good	2.895 \| good	0.138 \| good
2025-10-20T12:00:00.000Z	22 \| good	3.76 \| good	16.706 \| good	22.58 \| good	0.867 \| good	3.928 \| good	0.15 \| good
2025-10-20T13:00:00.000Z	22 \| good	3.799 \| good	16.964 \| good	21.406 \| good	0.713 \| good	5.586 \| good	0.167 \| good
2025-10-20T14:00:00.000Z	22 \| good	3.856 \| good	17.071 \| good	21.05 \| good	0.969 \| good	6.209 \| good	0.17 \| good
2025-10-20T15:00:00.000Z	22 \| good	3.815 \| good	17.071 \| good	20.269 \| good	1.784 \| good	5.212 \| good	0.155 \| good
2025-10-20T16:00:00.000Z	19 \| good	3.376 \| good	14.569 \| good	20.253 \| good	1.319 \| good	4.495 \| good	0.143 \| good
2025-10-20T17:00:00.000Z	20 \| good	3.337 \| good	14.44 \| good	21.545 \| good	1.237 \| good	3.663 \| good	0.14 \| good
2025-10-20T18:00:00.000Z	23 \| good	3.091 \| good	13.245 \| good	25.052 \| good	1.499 \| good	3.115 \| good	0.135 \| good
2025-10-20T19:00:00.000Z	25 \| good	2.861 \| good	11.974 \| good	26.529 \| good	2.385 \| good	2.698 \| good	0.133 \| good
2025-10-20T20:00:00.000Z	27 \| good	2.848 \| good	12.018 \| good	28.703 \| good	1.622 \| good	2.523 \| good	0.137 \| good
2025-10-20T21:00:00.000Z	27 \| good	2.774 \| good	11.734 \| good	28.973 \| good	0.931 \| good	2.153 \| good	0.14 \| good
2025-10-20T22:00:00.000Z	29 \| good	2.728 \| good	11.267 \| good	31.244 \| good	0.825 \| good	2.536 \| good	0.143 \| good
2025-10-20T23:00:00.000Z	26 \| good	2.65 \| good	10.769 \| good	27.585 \| good	0.799 \| good	2.441 \| good	0.139 \| good
2025-10-21T00:00:00.000Z	22 \| good	2.752 \| good	11.338 \| good	24.312 \| good	0.743 \| good	6.079 \| good	0.145 \| good
2025-10-21T01:00:00.000Z	19 \| good	2.838 \| good	12.143 \| good	20.881 \| good	1.276 \| good	9.071 \| good	0.165 \| good
2025-10-21T02:00:00.000Z	22 \| good	4.099 \| good	18.394 \| good	16.686 \| good	1.204 \| good	13.582 \| good	0.271 \| good
2025-10-21T02:00:00.000Z	22 \| good	4.316 \| good	19.47 \| good	16.719 \| good	1.19 \| good	14.067 \| good	0.268 \| good
2025-10-21T03:00:00.000Z	52 \| moderate	9.864 \| good	43.91 \| good	15.117 \| good	2.018 \| good	12.428 \| good	0.221 \| good
2025-10-21T04:00:00.000Z	49 \| good	8.784 \| good	38.729 \| good	12.501 \| good	2.147 \| good	10.721 \| good	0.21 \| good
2025-10-21T05:00:00.000Z	38 \| good	7.115 \| good	31.59 \| good	11.716 \| good	2.275 \| good	9.013 \| good	0.199 \| good
2025-10-21T06:00:00.000Z	33 \| good	5.579 \| good	23.724 \| good	11.356 \| good	2.404 \| good	7.306 \| good	0.187 \| good
2025-10-21T07:00:00.000Z	33 \| good	6.147 \| good	27.158 \| good	11.52 \| good	2.706 \| good	6.2 \| good	0.175 \| good
2025-10-21T08:00:00.000Z	33 \| good	5.661 \| good	24.292 \| good	11.755 \| good	3.008 \| good	5.094 \| good	0.163 \| good
2025-10-21T09:00:00.000Z	22 \| good	4.05 \| good	17.529 \| good	12.366 \| good	3.31 \| good	3.988 \| good	0.151 \| good
2025-10-21T10:00:00.000Z	27 \| good	4.567 \| good	20.152 \| good	12.988 \| good	2.792 \| good	3.939 \| good	0.148 \| good
2025-10-21T11:00:00.000Z	22 \| good	3.677 \| good	16.221 \| good	15.333 \| good	2.274 \| good	3.89 \| good	0.145 \| good
2025-10-21T12:00:00.000Z	22 \| good	4.357 \| good	18.88 \| good	18.592 \| good	1.755 \| good	3.842 \| good	0.142 \| good
2025-10-21T13:00:00.000Z	22 \| good	4.04 \| good	17.856 \| good	21.644 \| good	1.989 \| good	3.777 \| good	0.145 \| good
2025-10-21T14:00:00.000Z	27 \| good	5.029 \| good	21.888 \| good	24.016 \| good	2.223 \| good	3.712 \| good	0.147 \| good
2025-10-21T15:00:00.000Z	27 \| good	5.05 \| good	21.932 \| good	24.355 \| good	2.457 \| good	3.647 \| good	0.149 \| good
2025-10-21T16:00:00.000Z	33 \| good	5.792 \| good	25.103 \| good	32.344 \| good	2.94 \| good	3.275 \| good	0.149 \| good
2025-10-21T17:00:00.000Z	38 \| good	7.332 \| good	32.003 \| good	40.184 \| good	3.422 \| good	2.903 \| good	0.149 \| good
2025-10-21T18:00:00.000Z	44 \| good	6.799 \| good	29.954 \| good	47.237 \| good	3.905 \| good	2.531 \| good	0.149 \| good
2025-10-21T19:00:00.000Z	44 \| good	5.259 \| good	22.708 \| good	47.908 \| good	3.536 \| good	2.336 \| good	0.144 \| good
2025-10-21T20:00:00.000Z	41 \| good	4.515 \| good	19.876 \| good	44.214 \| good	3.167 \| good	2.141 \| good	0.14 \| good
2025-10-21T21:00:00.000Z	39 \| good	5.067 \| good	21.893 \| good	42.344 \| good	2.799 \| good	1.946 \| good	0.136 \| good
2025-10-21T22:00:00.000Z	34 \| good	4.951 \| good	21.22 \| good	37.21 \| good	2.471 \| good	3.524 \| good	0.146 \| good
2025-10-21T23:00:00.000Z	27 \| good	4.994 \| good	21.588 \| good	27.464 \| good	2.144 \| good	5.103 \| good	0.157 \| good
2025-10-22T00:00:00.000Z	27 \| good	5.054 \| good	21.824 \| good	22.204 \| good	1.816 \| good	6.681 \| good	0.168 \| good
2025-10-22T01:00:00.000Z	27 \| good	2.311 \| good	9.379 \| good	29.048 \| good	1.852 \| good	6.594 \| good	0.167 \| good
2025-10-22T02:00:00.000Z	27 \| good	2.118 \| good	8.387 \| good	29.081 \| good	1.888 \| good	6.507 \| good	0.166 \| good
2025-10-22T03:00:00.000Z	24 \| good	3.794 \| good	16.753 \| good	26.466 \| good	1.924 \| good	6.42 \| good	0.165 \| good
2025-10-22T04:00:00.000Z	25 \| good	2.783 \| good	11.209 \| good	26.709 \| good	2.032 \| good	5.513 \| good	0.156 \| good
2025-10-22T05:00:00.000Z	26 \| good	1.847 \| good	7.684 \| good	28.403 \| good	2.141 \| good	4.605 \| good	0.147 \| good
2025-10-22T06:00:00.000Z	27 \| good	1.346 \| good	5.028 \| good	28.852 \| good	2.249 \| good	3.698 \| good	0.137 \| good
2025-10-22T07:00:00.000Z	28 \| good	1.986 \| good	7.991 \| good	29.798 \| good	2.201 \| good	3.392 \| good	0.135 \| good
2025-10-22T08:00:00.000Z	29 \| good	1.983 \| good	7.984 \| good	30.884 \| good	2.153 \| good	3.086 \| good	0.132 \| good
2025-10-22T09:00:00.000Z	29 \| good	1.743 \| good	7.156 \| good	31.241 \| good	2.106 \| good	2.781 \| good	0.129 \| good
2025-10-22T10:00:00.000Z	26 \| good	1.305 \| good	5.053 \| good	28.3 \| good	1.972 \| good	3.08 \| good	0.132 \| good
2025-10-22T11:00:00.000Z	24 \| good	0.942 \| good	3.833 \| good	25.733 \| good	1.838 \| good	3.378 \| good	0.135 \| good
2025-10-22T12:00:00.000Z	25 \| good	1.832 \| good	7.631 \| good	27.108 \| good	1.704 \| good	3.677 \| good	0.138 \| good
2025-10-22T13:00:00.000Z	29 \| good	1.952 \| good	7.952 \| good	31.196 \| good	1.64 \| good	3.261 \| good	0.136 \| good
2025-10-22T14:00:00.000Z	30 \| good	2.874 \| good	11.772 \| good	31.646 \| good	1.575 \| good	2.846 \| good	0.135 \| good
2025-10-22T15:00:00.000Z	29 \| good	4.113 \| good	18.071 \| good	30.974 \| good	1.511 \| good	2.43 \| good	0.133 \| good
2025-10-22T16:00:00.000Z	26 \| good	3.999 \| good	17.432 \| good	27.96 \| good	1.553 \| good	2.508 \| good	0.134 \| good
2025-10-22T17:00:00.000Z	27 \| good	3.953 \| good	17.14 \| good	29.308 \| good	1.595 \| good	2.586 \| good	0.135 \| good
2025-10-22T18:00:00.000Z	29 \| good	3.809 \| good	16.703 \| good	30.935 \| good	1.637 \| good	2.664 \| good	0.136 \| good
2025-10-22T19:00:00.000Z	30 \| good	3.729 \| good	16.046 \| good	32.011 \| good	1.686 \| good	3.017 \| good	0.139 \| good
2025-10-22T20:00:00.000Z	29 \| good	3.852 \| good	16.913 \| good	31.14 \| good	1.735 \| good	3.369 \| good	0.141 \| good
2025-10-22T21:00:00.000Z	29 \| good	4.35 \| good	18.966 \| good	30.712 \| good	1.784 \| good	3.721 \| good	0.144 \| good
2025-10-22T22:00:00.000Z	25 \| good	4.438 \| good	19.156 \| good	26.925 \| good	1.778 \| good	3.929 \| good	0.145 \| good
2025-10-22T23:00:00.000Z	27 \| good	4.553 \| good	19.999 \| good	26.164 \| good	1.772 \| good	4.137 \| good	0.146 \| good
2025-10-23T00:00:00.000Z	22 \| good	3.458 \| good	3.46 \| good	24.321 \| good	1.77 \| good	4.4 \| good	0.148 \| good
2025-10-23T01:00:00.000Z	27 \| good	4.56 \| good	19.976 \| good	25.415 \| good	1.73 \| good	4.171 \| good	0.145 \| good
2025-10-23T02:00:00.000Z	23 \| good	4.477 \| good	19.37 \| good	25.044 \| good	1.693 \| good	3.996 \| good	0.144 \| good

Real-time air quality index in McKeesport, Pennsylvania today

Common air pollutants in McKeesport, Pennsylvania

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live McKeesport, Pennsylvania air quality forecast and history

Empower business decisions with accurate air quality data

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

Air quality in nearby cities

McKeesport, Pennsylvania

West Mifflin, Pennsylvania

Munhall, Pennsylvania

Jefferson Hills, Pennsylvania

Baldwin Borough, Pennsylvania

Monroeville, 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 Mckeesport, Pennsylvania updated?

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

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

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

Which pollutant is found most often in Mckeesport, Pennsylvania?

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

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

What are the current PM10 levels at Mckeesport, Pennsylvania?

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

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

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

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

What are the current PM₁₀ levels at Mckeesport, Pennsylvania?

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

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

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