What are the current PM10 levels at South Fayette, Pennsylvania?

The current PM10 levels in South Fayette, Pennsylvania are 40.678 μg/m3.

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

The current sulfur dioxide (SO2) levels in South Fayette, Pennsylvania are 1.398 ppb.

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

The current ozone (O3) levels at South Fayette, Pennsylvania is 34.003 ppm.

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

The current nitrogen dioxide (NO2) levels at South Fayette, Pennsylvania is 17.982 ppb.

Real-time air quality index in South Fayette, Pennsylvania today

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

Stay updated with real-time air quality in South Fayette, 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

South Fayette, Pennsylvania

Last updated: ... (Local time)

Common air pollutants in South Fayette, Pennsylvania

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

9.15 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

40.68 μg/m³

155

255

425

605+

Ozone (O₃)

34.00 ppb

201

201+

Sulfur Dioxide (SO₂)

1.40 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

17.98 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.30 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

South Fayette, Pennsylvania

Get Live Pollen Counts

South Fayette, Pennsylvania

Scroll To Air Quality Map

Track live South Fayette, Pennsylvania air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T03:00:00.000Z	52 \| moderate	9.769 \| good	43.563 \| good	41.81 \| good	1.927 \| good	6.026 \| good	0.212 \| good
2025-10-19T04:00:00.000Z	52 \| moderate	9.837 \| good	43.915 \| good	40.765 \| good	4.034 \| good	6.548 \| good	0.235 \| good
2025-10-19T05:00:00.000Z	52 \| moderate	10 \| good	44.472 \| good	38.136 \| good	3.942 \| good	5.874 \| good	0.209 \| good
2025-10-19T06:00:00.000Z	52 \| moderate	9.935 \| good	44.242 \| good	35.056 \| good	2.175 \| good	6.392 \| good	0.188 \| good
2025-10-19T07:00:00.000Z	52 \| moderate	9.914 \| good	44.409 \| good	33.972 \| good	2.306 \| good	6.145 \| good	0.187 \| good
2025-10-19T08:00:00.000Z	52 \| moderate	9.625 \| good	43.216 \| good	36.556 \| good	3.323 \| good	7.137 \| good	0.24 \| good
2025-10-19T09:00:00.000Z	52 \| moderate	9.507 \| good	43.037 \| good	36.208 \| good	3.526 \| good	6.202 \| good	0.22 \| good
2025-10-19T10:00:00.000Z	49 \| good	9.356 \| good	41.681 \| good	36.984 \| good	2.443 \| good	6.044 \| good	0.19 \| good
2025-10-19T11:00:00.000Z	49 \| good	9.097 \| good	40.428 \| good	40.06 \| good	3.302 \| good	6.304 \| good	0.214 \| good
2025-10-19T12:00:00.000Z	49 \| good	9.029 \| good	40.104 \| good	41.642 \| good	2.753 \| good	6.213 \| good	0.259 \| good
2025-10-19T13:00:00.000Z	49 \| good	8.89 \| good	40.13 \| good	41.908 \| good	2.022 \| good	6.087 \| good	0.219 \| good
2025-10-19T14:00:00.000Z	49 \| good	8.957 \| good	40.147 \| good	44.163 \| good	2.284 \| good	4.768 \| good	0.215 \| good
2025-10-19T15:00:00.000Z	49 \| good	8.986 \| good	39.407 \| good	43.899 \| good	2.647 \| good	4.882 \| good	0.217 \| good
2025-10-19T16:00:00.000Z	49 \| good	9.129 \| good	40.574 \| good	45.432 \| good	1.822 \| good	4.781 \| good	0.194 \| good
2025-10-19T17:00:00.000Z	49 \| good	9.13 \| good	40.757 \| good	47.974 \| good	3.242 \| good	3.576 \| good	0.196 \| good
2025-10-19T18:00:00.000Z	49 \| good	8.531 \| good	37.617 \| good	47.598 \| good	3.613 \| good	2.554 \| good	0.333 \| good
2025-10-19T19:00:00.000Z	44 \| good	7.299 \| good	32.574 \| good	47.172 \| good	1.474 \| good	2.502 \| good	0.149 \| good
2025-10-19T20:00:00.000Z	43 \| good	6.788 \| good	30.023 \| good	46.473 \| good	2.209 \| good	2.441 \| good	0.149 \| good
2025-10-19T21:00:00.000Z	43 \| good	5.446 \| good	24.386 \| good	45.744 \| good	1.564 \| good	2.584 \| good	0.145 \| good
2025-10-19T22:00:00.000Z	40 \| good	4.043 \| good	17.693 \| good	42.686 \| good	1.669 \| good	2.592 \| good	0.143 \| good
2025-10-19T23:00:00.000Z	38 \| good	2.964 \| good	13.074 \| good	41.358 \| good	1.595 \| good	2.582 \| good	0.142 \| good
2025-10-20T00:00:00.000Z	37 \| good	2.424 \| good	9.818 \| good	40.451 \| good	1.731 \| good	2.555 \| good	0.142 \| good
2025-10-20T01:00:00.000Z	38 \| good	1.901 \| good	8.143 \| good	40.979 \| good	3.132 \| good	2.112 \| good	0.12 \| good
2025-10-20T02:00:00.000Z	36 \| good	1.857 \| good	7.748 \| good	38.752 \| good	1.558 \| good	2.066 \| good	0.133 \| good
2025-10-20T03:00:00.000Z	30 \| good	1.505 \| good	6.188 \| good	31.69 \| good	3.134 \| good	1.639 \| good	0.119 \| good
2025-10-20T04:00:00.000Z	29 \| good	1.062 \| good	4.305 \| good	31.043 \| good	5.124 \| good	1.848 \| good	0.119 \| good
2025-10-20T05:00:00.000Z	28 \| good	0.966 \| good	3.82 \| good	30.488 \| good	5.139 \| good	1.716 \| good	0.103 \| good
2025-10-20T06:00:00.000Z	28 \| good	0.822 \| good	3.145 \| good	30.082 \| good	2.265 \| good	2.016 \| good	0.101 \| good
2025-10-20T07:00:00.000Z	26 \| good	0.864 \| good	3.805 \| good	28.323 \| good	1.891 \| good	1.634 \| good	0.1 \| good
2025-10-20T08:00:00.000Z	26 \| good	1.296 \| good	5.466 \| good	28.302 \| good	0.914 \| good	1.366 \| good	0.1 \| good
2025-10-20T09:00:00.000Z	25 \| good	1.961 \| good	8.114 \| good	27.105 \| good	1.026 \| good	1.746 \| good	0.1 \| good
2025-10-20T10:00:00.000Z	26 \| good	2.65 \| good	10.791 \| good	28.22 \| good	1.717 \| good	2.53 \| good	0.14 \| good
2025-10-20T11:00:00.000Z	25 \| good	3.148 \| good	14.058 \| good	27.048 \| good	1.611 \| good	2.856 \| good	0.129 \| good
2025-10-20T12:00:00.000Z	24 \| good	3.516 \| good	15.704 \| good	25.918 \| good	1.014 \| good	4.927 \| good	0.169 \| good
2025-10-20T13:00:00.000Z	24 \| good	3.494 \| good	15.469 \| good	26.136 \| good	0.851 \| good	6.411 \| good	0.187 \| good
2025-10-20T14:00:00.000Z	22 \| good	3.469 \| good	15.497 \| good	24.049 \| good	1.107 \| good	6.322 \| good	0.178 \| good
2025-10-20T15:00:00.000Z	21 \| good	3.312 \| good	14.216 \| good	22.67 \| good	1.823 \| good	5.798 \| good	0.161 \| good
2025-10-20T16:00:00.000Z	22 \| good	3.134 \| good	13.456 \| good	23.583 \| good	1.423 \| good	4.936 \| good	0.158 \| good
2025-10-20T17:00:00.000Z	25 \| good	3.084 \| good	13.383 \| good	26.692 \| good	1.332 \| good	4.044 \| good	0.152 \| good
2025-10-20T18:00:00.000Z	26 \| good	2.95 \| good	12.188 \| good	28.345 \| good	1.562 \| good	3.443 \| good	0.135 \| good
2025-10-20T19:00:00.000Z	29 \| good	2.81 \| good	11.736 \| good	30.892 \| good	2.4 \| good	2.935 \| good	0.133 \| good
2025-10-20T20:00:00.000Z	30 \| good	2.775 \| good	11.413 \| good	32.487 \| good	1.676 \| good	2.774 \| good	0.15 \| good
2025-10-20T21:00:00.000Z	31 \| good	2.74 \| good	11.413 \| good	32.814 \| good	1.029 \| good	2.386 \| good	0.153 \| good
2025-10-20T22:00:00.000Z	31 \| good	2.637 \| good	11.356 \| good	33.75 \| good	0.923 \| good	2.549 \| good	0.156 \| good
2025-10-20T23:00:00.000Z	31 \| good	2.457 \| good	10.116 \| good	34.133 \| good	0.905 \| good	4.338 \| good	0.153 \| good
2025-10-21T00:00:00.000Z	29 \| good	2.515 \| good	10.692 \| good	31.371 \| good	0.81 \| good	6.073 \| good	0.172 \| good
2025-10-21T01:00:00.000Z	26 \| good	2.542 \| good	10.907 \| good	28.089 \| good	1.477 \| good	10.914 \| good	0.199 \| good
2025-10-21T02:00:00.000Z	38 \| good	6.94 \| good	30.649 \| good	26.743 \| good	1.396 \| good	17.605 \| good	0.3 \| good
2025-10-21T02:00:00.000Z	49 \| good	9.147 \| good	40.678 \| good	34.003 \| good	1.398 \| good	17.982 \| good	0.302 \| good
2025-10-19T20:00:00.000Z	42 \| good	0.976 \| good	3.932 \| good	45.093 \| good	1.842 \| good	2.965 \| good	0.156 \| good
2025-10-19T21:00:00.000Z	43 \| good	1.743 \| good	7.189 \| good	45.817 \| good	1.832 \| good	3.384 \| good	0.156 \| good
2025-10-19T22:00:00.000Z	42 \| good	2.006 \| good	8.099 \| good	45.35 \| good	1.948 \| good	3.646 \| good	0.155 \| good
2025-10-19T23:00:00.000Z	40 \| good	2.224 \| good	8.838 \| good	42.65 \| good	2.065 \| good	3.909 \| good	0.153 \| good
2025-10-20T00:00:00.000Z	36 \| good	0.842 \| good	3.299 \| good	38.698 \| good	2.181 \| good	4.171 \| good	0.151 \| good
2025-10-20T01:00:00.000Z	30 \| good	2.725 \| good	11.253 \| good	32.048 \| good	2.025 \| good	4.018 \| good	0.146 \| good
2025-10-20T02:00:00.000Z	29 \| good	3.274 \| good	14.305 \| good	30.962 \| good	1.87 \| good	3.864 \| good	0.142 \| good
2025-10-20T03:00:00.000Z	31 \| good	1.807 \| good	7.608 \| good	33.339 \| good	1.714 \| good	3.711 \| good	0.137 \| good
2025-10-20T04:00:00.000Z	33 \| good	0.643 \| good	2.123 \| good	36.103 \| good	1.506 \| good	3.046 \| good	0.128 \| good
2025-10-20T05:00:00.000Z	34 \| good	0.413 \| good	1.779 \| good	36.939 \| good	1.299 \| good	2.38 \| good	0.118 \| good
2025-10-20T06:00:00.000Z	32 \| good	0.388 \| good	1.424 \| good	35.431 \| good	1.091 \| good	1.715 \| good	0.109 \| good
2025-10-20T07:00:00.000Z	32 \| good	0.54 \| good	1.984 \| good	34.779 \| good	0.982 \| good	1.626 \| good	0.109 \| good
2025-10-20T08:00:00.000Z	29 \| good	2.836 \| good	11.487 \| good	30.915 \| good	0.874 \| good	1.537 \| good	0.11 \| good
2025-10-20T09:00:00.000Z	29 \| good	5.202 \| good	22.304 \| good	30.518 \| good	0.765 \| good	1.448 \| good	0.11 \| good
2025-10-20T10:00:00.000Z	27 \| good	4.991 \| good	21.371 \| good	26.388 \| good	0.894 \| good	1.879 \| good	0.115 \| good
2025-10-20T11:00:00.000Z	27 \| good	4.967 \| good	21.652 \| good	26.387 \| good	1.022 \| good	2.311 \| good	0.121 \| good
2025-10-20T12:00:00.000Z	27 \| good	5.015 \| good	21.819 \| good	25.943 \| good	1.15 \| good	2.743 \| good	0.126 \| good
2025-10-20T13:00:00.000Z	38 \| good	7.345 \| good	32.333 \| good	26.562 \| good	1.238 \| good	2.52 \| good	0.127 \| good
2025-10-20T14:00:00.000Z	44 \| good	7.552 \| good	33.182 \| good	28.67 \| good	1.325 \| good	2.297 \| good	0.129 \| good
2025-10-20T15:00:00.000Z	31 \| good	5.466 \| good	23.245 \| good	32.982 \| good	1.412 \| good	2.074 \| good	0.13 \| good
2025-10-20T16:00:00.000Z	35 \| good	3.221 \| good	13.895 \| good	37.626 \| good	1.317 \| good	1.829 \| good	0.129 \| good
2025-10-20T17:00:00.000Z	39 \| good	2.763 \| good	11.167 \| good	41.919 \| good	1.222 \| good	1.585 \| good	0.127 \| good
2025-10-20T18:00:00.000Z	41 \| good	3.066 \| good	13.231 \| good	43.871 \| good	1.127 \| good	1.34 \| good	0.126 \| good
2025-10-20T19:00:00.000Z	41 \| good	4.461 \| good	19.422 \| good	44.386 \| good	1.193 \| good	1.461 \| good	0.127 \| good
2025-10-20T20:00:00.000Z	41 \| good	5.706 \| good	24.64 \| good	43.749 \| good	1.258 \| good	1.582 \| good	0.128 \| good
2025-10-20T21:00:00.000Z	41 \| good	6.891 \| good	30.633 \| good	43.653 \| good	1.324 \| good	1.703 \| good	0.129 \| good
2025-10-20T22:00:00.000Z	38 \| good	6.724 \| good	30.123 \| good	37.69 \| good	1.435 \| good	3.962 \| good	0.149 \| good
2025-10-20T23:00:00.000Z	38 \| good	6.589 \| good	29.361 \| good	32.212 \| good	1.547 \| good	6.221 \| good	0.168 \| good
2025-10-21T00:00:00.000Z	33 \| good	6.3 \| good	27.822 \| good	29.869 \| good	1.659 \| good	8.48 \| good	0.188 \| good
2025-10-21T01:00:00.000Z	38 \| good	6.784 \| good	30.321 \| good	25.721 \| good	1.733 \| good	8.431 \| good	0.189 \| good
2025-10-21T02:00:00.000Z	33 \| good	6.372 \| good	28.099 \| good	21.949 \| good	1.807 \| good	8.382 \| good	0.191 \| good
2025-10-21T03:00:00.000Z	22 \| good	4.287 \| good	18.854 \| good	22.058 \| good	1.881 \| good	8.333 \| good	0.192 \| good
2025-10-21T04:00:00.000Z	18 \| good	3.133 \| good	13.293 \| good	19.351 \| good	2.102 \| good	7.469 \| good	0.185 \| good
2025-10-21T05:00:00.000Z	16 \| good	2.819 \| good	11.419 \| good	17.18 \| good	2.323 \| good	6.605 \| good	0.178 \| good
2025-10-21T06:00:00.000Z	16 \| good	3.162 \| good	13.86 \| good	13.952 \| good	2.544 \| good	5.742 \| good	0.171 \| good
2025-10-21T07:00:00.000Z	16 \| good	3.454 \| good	14.858 \| good	14.136 \| good	3.029 \| good	5.105 \| good	0.163 \| good
2025-10-21T08:00:00.000Z	16 \| good	3.479 \| good	14.899 \| good	12.242 \| good	3.514 \| good	4.467 \| good	0.155 \| good
2025-10-21T09:00:00.000Z	16 \| good	3.173 \| good	13.93 \| good	13.466 \| good	3.998 \| good	3.83 \| good	0.146 \| good
2025-10-21T10:00:00.000Z	16 \| good	2.995 \| good	12.577 \| good	14.542 \| good	3.508 \| good	3.812 \| good	0.144 \| good
2025-10-21T11:00:00.000Z	16 \| good	2.909 \| good	12.314 \| good	16.434 \| good	3.017 \| good	3.794 \| good	0.142 \| good
2025-10-21T12:00:00.000Z	19 \| good	3.253 \| good	14.068 \| good	21.145 \| good	2.527 \| good	3.776 \| good	0.14 \| good
2025-10-21T13:00:00.000Z	26 \| good	4.177 \| good	18.237 \| good	27.694 \| good	2.461 \| good	3.572 \| good	0.141 \| good
2025-10-21T14:00:00.000Z	30 \| good	4.728 \| good	20.52 \| good	32.38 \| good	2.396 \| good	3.369 \| good	0.141 \| good
2025-10-21T15:00:00.000Z	34 \| good	4.613 \| good	20.122 \| good	36.573 \| good	2.33 \| good	3.166 \| good	0.142 \| good
2025-10-21T16:00:00.000Z	36 \| good	5.103 \| good	22.122 \| good	39.069 \| good	2.781 \| good	2.777 \| good	0.14 \| good
2025-10-21T17:00:00.000Z	35 \| good	4.979 \| good	21.343 \| good	38.181 \| good	3.232 \| good	2.388 \| good	0.137 \| good
2025-10-21T18:00:00.000Z	35 \| good	5.878 \| good	26.08 \| good	38.211 \| good	3.684 \| good	1.999 \| good	0.135 \| good
2025-10-21T19:00:00.000Z	35 \| good	5.783 \| good	24.962 \| good	37.65 \| good	3.53 \| good	2.201 \| good	0.136 \| good

South Fayette

Empower business decisions with accurate air quality data

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

0.19ppm

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 South Fayette, Pennsylvania updated?

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

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

The worst air quality in South Fayette, Pennsylvania was recorded at 02:00:00 on 2025-10-20.

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

The best air quality in South Fayette, Pennsylvania was recorded at 03:00:00 on 2025-10-20.

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

The real-time air quality index in South Fayette, Pennsylvania is 49, currently categorized as Good.

Which pollutant is found most often in South Fayette, Pennsylvania?

The most common pollutant in South Fayette, Pennsylvania is PM2.5.

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

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

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

The measured PM_2.5 levels in South Fayette, Pennsylvania at present are 9.147 μg/m³.

What are the current PM₁₀ levels at South Fayette, Pennsylvania?

The current PM₁₀ levels in South Fayette, Pennsylvania are 40.678 μg/m³.

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

The current carbon monoxide (CO) level in South Fayette, Pennsylvania is 0.302 ppm.

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

The current sulfur dioxide (SO₂) levels in South Fayette, Pennsylvania are 1.398 ppb.

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

The current ozone (O₃) levels at South Fayette, Pennsylvania is 34.003 ppm.

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

The current nitrogen dioxide (NO₂) levels at South Fayette, Pennsylvania is 17.982 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T03:00:00.000Z	52 \| moderate	9.769 \| good	43.563 \| good	41.81 \| good	1.927 \| good	6.026 \| good	0.212 \| good
2025-10-19T04:00:00.000Z	52 \| moderate	9.837 \| good	43.915 \| good	40.765 \| good	4.034 \| good	6.548 \| good	0.235 \| good
2025-10-19T05:00:00.000Z	52 \| moderate	10 \| good	44.472 \| good	38.136 \| good	3.942 \| good	5.874 \| good	0.209 \| good
2025-10-19T06:00:00.000Z	52 \| moderate	9.935 \| good	44.242 \| good	35.056 \| good	2.175 \| good	6.392 \| good	0.188 \| good
2025-10-19T07:00:00.000Z	52 \| moderate	9.914 \| good	44.409 \| good	33.972 \| good	2.306 \| good	6.145 \| good	0.187 \| good
2025-10-19T08:00:00.000Z	52 \| moderate	9.625 \| good	43.216 \| good	36.556 \| good	3.323 \| good	7.137 \| good	0.24 \| good
2025-10-19T09:00:00.000Z	52 \| moderate	9.507 \| good	43.037 \| good	36.208 \| good	3.526 \| good	6.202 \| good	0.22 \| good
2025-10-19T10:00:00.000Z	49 \| good	9.356 \| good	41.681 \| good	36.984 \| good	2.443 \| good	6.044 \| good	0.19 \| good
2025-10-19T11:00:00.000Z	49 \| good	9.097 \| good	40.428 \| good	40.06 \| good	3.302 \| good	6.304 \| good	0.214 \| good
2025-10-19T12:00:00.000Z	49 \| good	9.029 \| good	40.104 \| good	41.642 \| good	2.753 \| good	6.213 \| good	0.259 \| good
2025-10-19T13:00:00.000Z	49 \| good	8.89 \| good	40.13 \| good	41.908 \| good	2.022 \| good	6.087 \| good	0.219 \| good
2025-10-19T14:00:00.000Z	49 \| good	8.957 \| good	40.147 \| good	44.163 \| good	2.284 \| good	4.768 \| good	0.215 \| good
2025-10-19T15:00:00.000Z	49 \| good	8.986 \| good	39.407 \| good	43.899 \| good	2.647 \| good	4.882 \| good	0.217 \| good
2025-10-19T16:00:00.000Z	49 \| good	9.129 \| good	40.574 \| good	45.432 \| good	1.822 \| good	4.781 \| good	0.194 \| good
2025-10-19T17:00:00.000Z	49 \| good	9.13 \| good	40.757 \| good	47.974 \| good	3.242 \| good	3.576 \| good	0.196 \| good
2025-10-19T18:00:00.000Z	49 \| good	8.531 \| good	37.617 \| good	47.598 \| good	3.613 \| good	2.554 \| good	0.333 \| good
2025-10-19T19:00:00.000Z	44 \| good	7.299 \| good	32.574 \| good	47.172 \| good	1.474 \| good	2.502 \| good	0.149 \| good
2025-10-19T20:00:00.000Z	43 \| good	6.788 \| good	30.023 \| good	46.473 \| good	2.209 \| good	2.441 \| good	0.149 \| good
2025-10-19T21:00:00.000Z	43 \| good	5.446 \| good	24.386 \| good	45.744 \| good	1.564 \| good	2.584 \| good	0.145 \| good
2025-10-19T22:00:00.000Z	40 \| good	4.043 \| good	17.693 \| good	42.686 \| good	1.669 \| good	2.592 \| good	0.143 \| good
2025-10-19T23:00:00.000Z	38 \| good	2.964 \| good	13.074 \| good	41.358 \| good	1.595 \| good	2.582 \| good	0.142 \| good
2025-10-20T00:00:00.000Z	37 \| good	2.424 \| good	9.818 \| good	40.451 \| good	1.731 \| good	2.555 \| good	0.142 \| good
2025-10-20T01:00:00.000Z	38 \| good	1.901 \| good	8.143 \| good	40.979 \| good	3.132 \| good	2.112 \| good	0.12 \| good
2025-10-20T02:00:00.000Z	36 \| good	1.857 \| good	7.748 \| good	38.752 \| good	1.558 \| good	2.066 \| good	0.133 \| good
2025-10-20T03:00:00.000Z	30 \| good	1.505 \| good	6.188 \| good	31.69 \| good	3.134 \| good	1.639 \| good	0.119 \| good
2025-10-20T04:00:00.000Z	29 \| good	1.062 \| good	4.305 \| good	31.043 \| good	5.124 \| good	1.848 \| good	0.119 \| good
2025-10-20T05:00:00.000Z	28 \| good	0.966 \| good	3.82 \| good	30.488 \| good	5.139 \| good	1.716 \| good	0.103 \| good
2025-10-20T06:00:00.000Z	28 \| good	0.822 \| good	3.145 \| good	30.082 \| good	2.265 \| good	2.016 \| good	0.101 \| good
2025-10-20T07:00:00.000Z	26 \| good	0.864 \| good	3.805 \| good	28.323 \| good	1.891 \| good	1.634 \| good	0.1 \| good
2025-10-20T08:00:00.000Z	26 \| good	1.296 \| good	5.466 \| good	28.302 \| good	0.914 \| good	1.366 \| good	0.1 \| good
2025-10-20T09:00:00.000Z	25 \| good	1.961 \| good	8.114 \| good	27.105 \| good	1.026 \| good	1.746 \| good	0.1 \| good
2025-10-20T10:00:00.000Z	26 \| good	2.65 \| good	10.791 \| good	28.22 \| good	1.717 \| good	2.53 \| good	0.14 \| good
2025-10-20T11:00:00.000Z	25 \| good	3.148 \| good	14.058 \| good	27.048 \| good	1.611 \| good	2.856 \| good	0.129 \| good
2025-10-20T12:00:00.000Z	24 \| good	3.516 \| good	15.704 \| good	25.918 \| good	1.014 \| good	4.927 \| good	0.169 \| good
2025-10-20T13:00:00.000Z	24 \| good	3.494 \| good	15.469 \| good	26.136 \| good	0.851 \| good	6.411 \| good	0.187 \| good
2025-10-20T14:00:00.000Z	22 \| good	3.469 \| good	15.497 \| good	24.049 \| good	1.107 \| good	6.322 \| good	0.178 \| good
2025-10-20T15:00:00.000Z	21 \| good	3.312 \| good	14.216 \| good	22.67 \| good	1.823 \| good	5.798 \| good	0.161 \| good
2025-10-20T16:00:00.000Z	22 \| good	3.134 \| good	13.456 \| good	23.583 \| good	1.423 \| good	4.936 \| good	0.158 \| good
2025-10-20T17:00:00.000Z	25 \| good	3.084 \| good	13.383 \| good	26.692 \| good	1.332 \| good	4.044 \| good	0.152 \| good
2025-10-20T18:00:00.000Z	26 \| good	2.95 \| good	12.188 \| good	28.345 \| good	1.562 \| good	3.443 \| good	0.135 \| good
2025-10-20T19:00:00.000Z	29 \| good	2.81 \| good	11.736 \| good	30.892 \| good	2.4 \| good	2.935 \| good	0.133 \| good
2025-10-20T20:00:00.000Z	30 \| good	2.775 \| good	11.413 \| good	32.487 \| good	1.676 \| good	2.774 \| good	0.15 \| good
2025-10-20T21:00:00.000Z	31 \| good	2.74 \| good	11.413 \| good	32.814 \| good	1.029 \| good	2.386 \| good	0.153 \| good
2025-10-20T22:00:00.000Z	31 \| good	2.637 \| good	11.356 \| good	33.75 \| good	0.923 \| good	2.549 \| good	0.156 \| good
2025-10-20T23:00:00.000Z	31 \| good	2.457 \| good	10.116 \| good	34.133 \| good	0.905 \| good	4.338 \| good	0.153 \| good
2025-10-21T00:00:00.000Z	29 \| good	2.515 \| good	10.692 \| good	31.371 \| good	0.81 \| good	6.073 \| good	0.172 \| good
2025-10-21T01:00:00.000Z	26 \| good	2.542 \| good	10.907 \| good	28.089 \| good	1.477 \| good	10.914 \| good	0.199 \| good
2025-10-21T02:00:00.000Z	38 \| good	6.94 \| good	30.649 \| good	26.743 \| good	1.396 \| good	17.605 \| good	0.3 \| good
2025-10-21T02:00:00.000Z	49 \| good	9.147 \| good	40.678 \| good	34.003 \| good	1.398 \| good	17.982 \| good	0.302 \| good
2025-10-19T20:00:00.000Z	42 \| good	0.976 \| good	3.932 \| good	45.093 \| good	1.842 \| good	2.965 \| good	0.156 \| good
2025-10-19T21:00:00.000Z	43 \| good	1.743 \| good	7.189 \| good	45.817 \| good	1.832 \| good	3.384 \| good	0.156 \| good
2025-10-19T22:00:00.000Z	42 \| good	2.006 \| good	8.099 \| good	45.35 \| good	1.948 \| good	3.646 \| good	0.155 \| good
2025-10-19T23:00:00.000Z	40 \| good	2.224 \| good	8.838 \| good	42.65 \| good	2.065 \| good	3.909 \| good	0.153 \| good
2025-10-20T00:00:00.000Z	36 \| good	0.842 \| good	3.299 \| good	38.698 \| good	2.181 \| good	4.171 \| good	0.151 \| good
2025-10-20T01:00:00.000Z	30 \| good	2.725 \| good	11.253 \| good	32.048 \| good	2.025 \| good	4.018 \| good	0.146 \| good
2025-10-20T02:00:00.000Z	29 \| good	3.274 \| good	14.305 \| good	30.962 \| good	1.87 \| good	3.864 \| good	0.142 \| good
2025-10-20T03:00:00.000Z	31 \| good	1.807 \| good	7.608 \| good	33.339 \| good	1.714 \| good	3.711 \| good	0.137 \| good
2025-10-20T04:00:00.000Z	33 \| good	0.643 \| good	2.123 \| good	36.103 \| good	1.506 \| good	3.046 \| good	0.128 \| good
2025-10-20T05:00:00.000Z	34 \| good	0.413 \| good	1.779 \| good	36.939 \| good	1.299 \| good	2.38 \| good	0.118 \| good
2025-10-20T06:00:00.000Z	32 \| good	0.388 \| good	1.424 \| good	35.431 \| good	1.091 \| good	1.715 \| good	0.109 \| good
2025-10-20T07:00:00.000Z	32 \| good	0.54 \| good	1.984 \| good	34.779 \| good	0.982 \| good	1.626 \| good	0.109 \| good
2025-10-20T08:00:00.000Z	29 \| good	2.836 \| good	11.487 \| good	30.915 \| good	0.874 \| good	1.537 \| good	0.11 \| good
2025-10-20T09:00:00.000Z	29 \| good	5.202 \| good	22.304 \| good	30.518 \| good	0.765 \| good	1.448 \| good	0.11 \| good
2025-10-20T10:00:00.000Z	27 \| good	4.991 \| good	21.371 \| good	26.388 \| good	0.894 \| good	1.879 \| good	0.115 \| good
2025-10-20T11:00:00.000Z	27 \| good	4.967 \| good	21.652 \| good	26.387 \| good	1.022 \| good	2.311 \| good	0.121 \| good
2025-10-20T12:00:00.000Z	27 \| good	5.015 \| good	21.819 \| good	25.943 \| good	1.15 \| good	2.743 \| good	0.126 \| good
2025-10-20T13:00:00.000Z	38 \| good	7.345 \| good	32.333 \| good	26.562 \| good	1.238 \| good	2.52 \| good	0.127 \| good
2025-10-20T14:00:00.000Z	44 \| good	7.552 \| good	33.182 \| good	28.67 \| good	1.325 \| good	2.297 \| good	0.129 \| good
2025-10-20T15:00:00.000Z	31 \| good	5.466 \| good	23.245 \| good	32.982 \| good	1.412 \| good	2.074 \| good	0.13 \| good
2025-10-20T16:00:00.000Z	35 \| good	3.221 \| good	13.895 \| good	37.626 \| good	1.317 \| good	1.829 \| good	0.129 \| good
2025-10-20T17:00:00.000Z	39 \| good	2.763 \| good	11.167 \| good	41.919 \| good	1.222 \| good	1.585 \| good	0.127 \| good
2025-10-20T18:00:00.000Z	41 \| good	3.066 \| good	13.231 \| good	43.871 \| good	1.127 \| good	1.34 \| good	0.126 \| good
2025-10-20T19:00:00.000Z	41 \| good	4.461 \| good	19.422 \| good	44.386 \| good	1.193 \| good	1.461 \| good	0.127 \| good
2025-10-20T20:00:00.000Z	41 \| good	5.706 \| good	24.64 \| good	43.749 \| good	1.258 \| good	1.582 \| good	0.128 \| good
2025-10-20T21:00:00.000Z	41 \| good	6.891 \| good	30.633 \| good	43.653 \| good	1.324 \| good	1.703 \| good	0.129 \| good
2025-10-20T22:00:00.000Z	38 \| good	6.724 \| good	30.123 \| good	37.69 \| good	1.435 \| good	3.962 \| good	0.149 \| good
2025-10-20T23:00:00.000Z	38 \| good	6.589 \| good	29.361 \| good	32.212 \| good	1.547 \| good	6.221 \| good	0.168 \| good
2025-10-21T00:00:00.000Z	33 \| good	6.3 \| good	27.822 \| good	29.869 \| good	1.659 \| good	8.48 \| good	0.188 \| good
2025-10-21T01:00:00.000Z	38 \| good	6.784 \| good	30.321 \| good	25.721 \| good	1.733 \| good	8.431 \| good	0.189 \| good
2025-10-21T02:00:00.000Z	33 \| good	6.372 \| good	28.099 \| good	21.949 \| good	1.807 \| good	8.382 \| good	0.191 \| good
2025-10-21T03:00:00.000Z	22 \| good	4.287 \| good	18.854 \| good	22.058 \| good	1.881 \| good	8.333 \| good	0.192 \| good
2025-10-21T04:00:00.000Z	18 \| good	3.133 \| good	13.293 \| good	19.351 \| good	2.102 \| good	7.469 \| good	0.185 \| good
2025-10-21T05:00:00.000Z	16 \| good	2.819 \| good	11.419 \| good	17.18 \| good	2.323 \| good	6.605 \| good	0.178 \| good
2025-10-21T06:00:00.000Z	16 \| good	3.162 \| good	13.86 \| good	13.952 \| good	2.544 \| good	5.742 \| good	0.171 \| good
2025-10-21T07:00:00.000Z	16 \| good	3.454 \| good	14.858 \| good	14.136 \| good	3.029 \| good	5.105 \| good	0.163 \| good
2025-10-21T08:00:00.000Z	16 \| good	3.479 \| good	14.899 \| good	12.242 \| good	3.514 \| good	4.467 \| good	0.155 \| good
2025-10-21T09:00:00.000Z	16 \| good	3.173 \| good	13.93 \| good	13.466 \| good	3.998 \| good	3.83 \| good	0.146 \| good
2025-10-21T10:00:00.000Z	16 \| good	2.995 \| good	12.577 \| good	14.542 \| good	3.508 \| good	3.812 \| good	0.144 \| good
2025-10-21T11:00:00.000Z	16 \| good	2.909 \| good	12.314 \| good	16.434 \| good	3.017 \| good	3.794 \| good	0.142 \| good
2025-10-21T12:00:00.000Z	19 \| good	3.253 \| good	14.068 \| good	21.145 \| good	2.527 \| good	3.776 \| good	0.14 \| good
2025-10-21T13:00:00.000Z	26 \| good	4.177 \| good	18.237 \| good	27.694 \| good	2.461 \| good	3.572 \| good	0.141 \| good
2025-10-21T14:00:00.000Z	30 \| good	4.728 \| good	20.52 \| good	32.38 \| good	2.396 \| good	3.369 \| good	0.141 \| good
2025-10-21T15:00:00.000Z	34 \| good	4.613 \| good	20.122 \| good	36.573 \| good	2.33 \| good	3.166 \| good	0.142 \| good
2025-10-21T16:00:00.000Z	36 \| good	5.103 \| good	22.122 \| good	39.069 \| good	2.781 \| good	2.777 \| good	0.14 \| good
2025-10-21T17:00:00.000Z	35 \| good	4.979 \| good	21.343 \| good	38.181 \| good	3.232 \| good	2.388 \| good	0.137 \| good
2025-10-21T18:00:00.000Z	35 \| good	5.878 \| good	26.08 \| good	38.211 \| good	3.684 \| good	1.999 \| good	0.135 \| good
2025-10-21T19:00:00.000Z	35 \| good	5.783 \| good	24.962 \| good	37.65 \| good	3.53 \| good	2.201 \| good	0.136 \| good

Real-time air quality index in South Fayette, Pennsylvania today

Common air pollutants in South Fayette, Pennsylvania

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live South Fayette, Pennsylvania air quality forecast and history

Empower business decisions with accurate air quality data

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

Air quality in nearby cities

Cecil, Pennsylvania

Upper St. Clair, Pennsylvania

North Fayette, Pennsylvania

Scott Township, Pennsylvania

Mount Lebanon, Pennsylvania

Peters Township, 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 South Fayette, Pennsylvania updated?

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

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

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

Which pollutant is found most often in South Fayette, Pennsylvania?

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

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

What are the current PM10 levels at South Fayette, Pennsylvania?

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

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

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

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

What are the current PM₁₀ levels at South Fayette, Pennsylvania?

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

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

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