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

Butler, Pennsylvania currently has a PM10 concentration of 15.923 μg/m3.

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

The current sulfur dioxide (SO2) concentration in Butler, Pennsylvania is 1.384 ppb.

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

Butler, Pennsylvania currently has an ozone (O3) concentration of 22.097 ppm.

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

The current level of nitrogen dioxide (NO2) in Butler, Pennsylvania is 1.668 ppb.

Current air quality index in Butler, Pennsylvania today

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

Stay updated with real-time air quality in Butler, 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

Butler, Pennsylvania

Last updated: ... (Local time)

Common air pollutants in Butler, Pennsylvania

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

3.61 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

15.92 μg/m³

155

255

425

605+

Ozone (O₃)

22.10 ppb

201

201+

Sulfur Dioxide (SO₂)

1.38 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

1.67 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.12 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Butler, Pennsylvania

Get Live Pollen Counts

Butler, Pennsylvania

Scroll To Air Quality Map

Track live Butler, Pennsylvania air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-20T06:00:00.000Z	25 \| good	1.176 \| good	4.168 \| good	27.35 \| good	2.259 \| good	1.261 \| good	0.109 \| good
2025-10-20T07:00:00.000Z	23 \| good	1.213 \| good	4.928 \| good	25.383 \| good	1.827 \| good	1.235 \| good	0.106 \| good
2025-10-20T08:00:00.000Z	22 \| good	1.364 \| good	6.124 \| good	24.383 \| good	0.904 \| good	1.244 \| good	0.106 \| good
2025-10-20T09:00:00.000Z	23 \| good	2.228 \| good	10.241 \| good	24.746 \| good	1.011 \| good	1.707 \| good	0.103 \| good
2025-10-20T10:00:00.000Z	22 \| good	2.952 \| good	9.002 \| good	24.399 \| good	1.66 \| good	2.632 \| good	0.127 \| good
2025-10-20T11:00:00.000Z	24 \| good	3.311 \| good	11.161 \| good	26.012 \| good	1.552 \| good	2.76 \| good	0.119 \| good
2025-10-20T12:00:00.000Z	22 \| good	3.748 \| good	14.88 \| good	21.289 \| good	1.014 \| good	3.531 \| good	0.164 \| good
2025-10-20T13:00:00.000Z	22 \| good	3.748 \| good	16.654 \| good	22.466 \| good	0.898 \| good	5.42 \| good	0.179 \| good
2025-10-20T14:00:00.000Z	22 \| good	3.556 \| good	15.96 \| good	22.159 \| good	1.142 \| good	7.438 \| good	0.172 \| good
2025-10-20T15:00:00.000Z	22 \| good	3.627 \| good	16.071 \| good	19.621 \| good	1.787 \| good	6.599 \| good	0.158 \| good
2025-10-20T16:00:00.000Z	19 \| good	3.186 \| good	12.931 \| good	21.176 \| good	1.595 \| good	5.292 \| good	0.16 \| good
2025-10-20T17:00:00.000Z	24 \| good	3.242 \| good	13.975 \| good	25.514 \| good	1.464 \| good	4.026 \| good	0.156 \| good
2025-10-20T18:00:00.000Z	24 \| good	3.099 \| good	12 \| good	25.692 \| good	1.663 \| good	3.603 \| good	0.134 \| good
2025-10-20T19:00:00.000Z	24 \| good	2.962 \| good	11.898 \| good	26.281 \| good	2.454 \| good	2.941 \| good	0.131 \| good
2025-10-20T20:00:00.000Z	27 \| good	2.956 \| good	12.439 \| good	28.858 \| good	1.784 \| good	2.758 \| good	0.146 \| good
2025-10-20T21:00:00.000Z	27 \| good	2.765 \| good	10.952 \| good	29.489 \| good	1.02 \| good	2.373 \| good	0.15 \| good
2025-10-20T22:00:00.000Z	26 \| good	2.728 \| good	11.389 \| good	28.388 \| good	0.923 \| good	3.96 \| good	0.153 \| good
2025-10-20T23:00:00.000Z	28 \| good	2.789 \| good	10.37 \| good	29.768 \| good	0.909 \| good	3.202 \| good	0.151 \| good
2025-10-21T00:00:00.000Z	25 \| good	3.349 \| good	10.242 \| good	27.49 \| good	0.836 \| good	7.279 \| good	0.169 \| good
2025-10-21T01:00:00.000Z	22 \| good	3.196 \| good	13.9 \| good	23.649 \| good	1.496 \| good	10.833 \| good	0.21 \| good
2025-10-21T02:00:00.000Z	22 \| good	4.102 \| good	12.755 \| good	20.769 \| good	1.395 \| good	10.946 \| good	0.319 \| good
2025-10-21T03:00:00.000Z	44 \| good	7.974 \| good	35.076 \| good	13.273 \| good	1.386 \| good	13.715 \| good	0.232 \| good
2025-10-21T04:00:00.000Z	38 \| good	7.224 \| good	22.717 \| good	14.688 \| good	1.366 \| good	15.329 \| good	0.181 \| good
2025-10-21T05:00:00.000Z	44 \| good	8.09 \| good	30.952 \| good	11.902 \| good	1.373 \| good	11.147 \| good	0.196 \| good
2025-10-21T06:00:00.000Z	38 \| good	6.91 \| good	26.377 \| good	8.419 \| good	1.364 \| good	10.872 \| good	0.223 \| good
2025-10-21T07:00:00.000Z	33 \| good	5.622 \| good	22.879 \| good	10.674 \| good	1.406 \| good	10.2 \| good	0.203 \| good
2025-10-21T08:00:00.000Z	33 \| good	6.281 \| good	27.925 \| good	8.147 \| good	1.429 \| good	8.599 \| good	0.175 \| good
2025-10-21T09:00:00.000Z	33 \| good	6.408 \| good	22.024 \| good	9.47 \| good	1.456 \| good	6.888 \| good	0.235 \| good
2025-10-21T10:00:00.000Z	33 \| good	5.7 \| good	20.18 \| good	3.938 \| good	1.467 \| good	7.868 \| good	0.219 \| good
2025-10-21T11:00:00.000Z	33 \| good	6.428 \| good	18.859 \| good	5.628 \| good	1.464 \| good	6.577 \| good	0.214 \| good
2025-10-21T12:00:00.000Z	27 \| good	4.57 \| good	19.693 \| good	6.799 \| good	1.415 \| good	8.605 \| good	0.435 \| good
2025-10-21T13:00:00.000Z	33 \| good	6.328 \| good	21.451 \| good	5.51 \| good	1.764 \| good	7.155 \| good	0.277 \| good
2025-10-21T14:00:00.000Z	33 \| good	5.769 \| good	25.176 \| good	13.032 \| good	1.815 \| good	8.861 \| good	0.284 \| good
2025-10-21T15:00:00.000Z	22 \| good	4.263 \| good	16.18 \| good	19.673 \| good	1.465 \| good	9.558 \| good	0.254 \| good
2025-10-21T16:00:00.000Z	22 \| good	4.125 \| good	18.057 \| good	21.663 \| good	1.464 \| good	6.727 \| good	0.168 \| good
2025-10-21T17:00:00.000Z	22 \| good	4.02 \| good	15.551 \| good	23.439 \| good	1.463 \| good	3.808 \| good	0.161 \| good
2025-10-21T18:00:00.000Z	27 \| good	4.531 \| good	16.635 \| good	23.889 \| good	1.603 \| good	3.174 \| good	0.133 \| good
2025-10-21T19:00:00.000Z	27 \| good	4.12 \| good	19.621 \| good	28.655 \| good	1.468 \| good	2.907 \| good	0.115 \| good
2025-10-21T20:00:00.000Z	24 \| good	4.199 \| good	17.942 \| good	26.121 \| good	1.46 \| good	2.94 \| good	0.115 \| good
2025-10-21T21:00:00.000Z	27 \| good	4.6 \| good	19.817 \| good	28.175 \| good	1.454 \| good	2.762 \| good	0.166 \| good
2025-10-21T22:00:00.000Z	27 \| good	5.112 \| good	22.283 \| good	29.018 \| good	1.37 \| good	2.616 \| good	0.13 \| good
2025-10-21T23:00:00.000Z	28 \| good	4.444 \| good	17.008 \| good	29.957 \| good	1.559 \| good	2.67 \| good	0.133 \| good
2025-10-22T00:00:00.000Z	29 \| good	4.357 \| good	16.497 \| good	30.621 \| good	1.33 \| good	4.392 \| good	0.123 \| good
2025-10-22T01:00:00.000Z	33 \| good	5.525 \| good	23.034 \| good	26.845 \| good	1.327 \| good	4.576 \| good	0.147 \| good
2025-10-22T02:00:00.000Z	38 \| good	6.914 \| good	33.22 \| good	24.282 \| good	1.675 \| good	2.731 \| good	0.17 \| good
2025-10-22T03:00:00.000Z	25 \| good	3.811 \| good	16.692 \| good	26.577 \| good	1.955 \| good	6.063 \| good	0.164 \| good
2025-10-22T04:00:00.000Z	33 \| good	6.219 \| good	20.897 \| good	24.497 \| good	1.351 \| good	2.548 \| good	0.116 \| good
2025-10-22T05:00:00.000Z	22 \| good	3.608 \| good	15.923 \| good	22.097 \| good	1.384 \| good	1.668 \| good	0.115 \| good
2025-10-22T05:00:00.000Z	22 \| good	3.608 \| good	15.923 \| good	22.097 \| good	1.384 \| good	1.668 \| good	0.115 \| good
2025-10-19T06:00:00.000Z	49 \| good	8.502 \| good	37.163 \| good	19.506 \| good	3.311 \| good	5.179 \| good	0.19 \| good
2025-10-19T07:00:00.000Z	38 \| good	7.142 \| good	31.765 \| good	18.237 \| good	2.853 \| good	4.618 \| good	0.183 \| good
2025-10-19T08:00:00.000Z	33 \| good	5.909 \| good	26.362 \| good	17.523 \| good	2.395 \| good	4.057 \| good	0.177 \| good
2025-10-19T09:00:00.000Z	33 \| good	5.767 \| good	24.828 \| good	18.544 \| good	1.937 \| good	3.496 \| good	0.171 \| good
2025-10-19T10:00:00.000Z	22 \| good	4.471 \| good	19.234 \| good	21.629 \| good	1.871 \| good	3.587 \| good	0.175 \| good
2025-10-19T11:00:00.000Z	33 \| good	5.545 \| good	24.025 \| good	24.514 \| good	1.805 \| good	3.679 \| good	0.179 \| good
2025-10-19T12:00:00.000Z	38 \| good	7.457 \| good	32.832 \| good	28.233 \| good	1.739 \| good	3.77 \| good	0.182 \| good
2025-10-19T13:00:00.000Z	52 \| moderate	10.495 \| good	46.648 \| good	32.674 \| good	1.895 \| good	3.543 \| good	0.19 \| good
2025-10-19T14:00:00.000Z	58 \| moderate	12.795 \| fine	57 \| fine	37.806 \| good	2.05 \| good	3.315 \| good	0.197 \| good
2025-10-19T15:00:00.000Z	54 \| moderate	11.163 \| good	49.238 \| good	43.799 \| good	2.206 \| good	3.088 \| good	0.205 \| good
2025-10-19T16:00:00.000Z	49 \| good	8.867 \| good	39.017 \| good	48.719 \| good	2.111 \| good	2.461 \| good	0.191 \| good
2025-10-19T17:00:00.000Z	44 \| good	6.161 \| good	27.332 \| good	47.254 \| good	2.015 \| good	1.833 \| good	0.176 \| good
2025-10-19T18:00:00.000Z	39 \| good	4.149 \| good	18.142 \| good	42.215 \| good	1.92 \| good	1.206 \| good	0.162 \| good
2025-10-19T19:00:00.000Z	37 \| good	2.84 \| good	11.795 \| good	40.009 \| good	1.888 \| good	1.736 \| good	0.158 \| good
2025-10-19T20:00:00.000Z	38 \| good	3.573 \| good	16 \| good	40.818 \| good	1.856 \| good	2.267 \| good	0.155 \| good
2025-10-19T21:00:00.000Z	39 \| good	2.798 \| good	11.847 \| good	41.816 \| good	1.824 \| good	2.797 \| good	0.152 \| good
2025-10-19T22:00:00.000Z	39 \| good	2.683 \| good	10.969 \| good	42.085 \| good	1.78 \| good	3.256 \| good	0.153 \| good
2025-10-19T23:00:00.000Z	37 \| good	2.868 \| good	11.847 \| good	40.029 \| good	1.737 \| good	3.715 \| good	0.153 \| good
2025-10-20T00:00:00.000Z	32 \| good	3.094 \| good	12.582 \| good	35.216 \| good	1.694 \| good	4.174 \| good	0.154 \| good
2025-10-20T01:00:00.000Z	31 \| good	2.391 \| good	9.946 \| good	33.219 \| good	1.924 \| good	4.17 \| good	0.155 \| good
2025-10-20T02:00:00.000Z	28 \| good	2.448 \| good	10.042 \| good	30.344 \| good	2.153 \| good	4.166 \| good	0.156 \| good
2025-10-20T03:00:00.000Z	26 \| good	3.095 \| good	12.807 \| good	27.72 \| good	2.383 \| good	4.161 \| good	0.157 \| good
2025-10-20T04:00:00.000Z	26 \| good	3.267 \| good	14.212 \| good	27.572 \| good	2.401 \| good	4.092 \| good	0.156 \| good
2025-10-20T05:00:00.000Z	28 \| good	1.364 \| good	5.203 \| good	30.348 \| good	2.418 \| good	4.022 \| good	0.156 \| good
2025-10-20T06:00:00.000Z	28 \| good	0.952 \| good	3.862 \| good	30.276 \| good	2.436 \| good	3.953 \| good	0.155 \| good
2025-10-20T07:00:00.000Z	26 \| good	1.208 \| good	5 \| good	28.244 \| good	2.115 \| good	3.542 \| good	0.151 \| good
2025-10-20T08:00:00.000Z	24 \| good	1.855 \| good	7.941 \| good	26.23 \| good	1.795 \| good	3.132 \| good	0.147 \| good
2025-10-20T09:00:00.000Z	22 \| good	2.259 \| good	9.112 \| good	23.671 \| good	1.474 \| good	2.721 \| good	0.143 \| good
2025-10-20T10:00:00.000Z	20 \| good	2.387 \| good	10 \| good	21.798 \| good	1.139 \| good	2.421 \| good	0.138 \| good
2025-10-20T11:00:00.000Z	19 \| good	2.381 \| good	9.819 \| good	21.087 \| good	0.805 \| good	2.121 \| good	0.134 \| good
2025-10-20T12:00:00.000Z	17 \| good	3.482 \| good	15.354 \| good	17.732 \| good	0.47 \| good	1.82 \| good	0.13 \| good
2025-10-20T13:00:00.000Z	33 \| good	5.525 \| good	23.774 \| good	19.53 \| good	0.59 \| good	2.17 \| good	0.134 \| good
2025-10-20T14:00:00.000Z	38 \| good	6.913 \| good	30.658 \| good	26.034 \| good	0.711 \| good	2.52 \| good	0.138 \| good
2025-10-20T15:00:00.000Z	38 \| good	7.203 \| good	31.756 \| good	31.379 \| good	0.831 \| good	2.87 \| good	0.142 \| good
2025-10-20T16:00:00.000Z	44 \| good	7.534 \| good	33.451 \| good	35.897 \| good	0.801 \| good	2.432 \| good	0.138 \| good
2025-10-20T17:00:00.000Z	44 \| good	8.012 \| good	34.968 \| good	37.185 \| good	0.771 \| good	1.995 \| good	0.134 \| good
2025-10-20T18:00:00.000Z	38 \| good	6.666 \| good	29.563 \| good	37.381 \| good	0.741 \| good	1.557 \| good	0.131 \| good
2025-10-20T19:00:00.000Z	36 \| good	4.807 \| good	20.757 \| good	38.609 \| good	0.727 \| good	1.47 \| good	0.131 \| good
2025-10-20T20:00:00.000Z	35 \| good	4.229 \| good	18.678 \| good	38.367 \| good	0.712 \| good	1.383 \| good	0.13 \| good
2025-10-20T21:00:00.000Z	35 \| good	3.709 \| good	16.361 \| good	37.552 \| good	0.697 \| good	1.295 \| good	0.13 \| good
2025-10-20T22:00:00.000Z	33 \| good	3.163 \| good	13.755 \| good	35.695 \| good	0.705 \| good	2.825 \| good	0.143 \| good
2025-10-20T23:00:00.000Z	27 \| good	4.154 \| good	18.107 \| good	29.293 \| good	0.713 \| good	4.355 \| good	0.157 \| good
2025-10-21T00:00:00.000Z	25 \| good	2.659 \| good	2.668 \| good	27.158 \| good	0.724 \| good	5.886 \| good	0.171 \| good
2025-10-21T01:00:00.000Z	27 \| good	5.05 \| good	21.855 \| good	22.866 \| good	0.819 \| good	6.487 \| good	0.176 \| good
2025-10-21T02:00:00.000Z	33 \| good	5.516 \| good	23.834 \| good	20.704 \| good	0.917 \| good	7.09 \| good	0.182 \| good
2025-10-21T03:00:00.000Z	33 \| good	6.445 \| good	28.082 \| good	18.308 \| good	1.015 \| good	7.693 \| good	0.187 \| good
2025-10-21T04:00:00.000Z	44 \| good	8.437 \| good	37.116 \| good	15.325 \| good	1.278 \| good	6.935 \| good	0.18 \| good
2025-10-21T05:00:00.000Z	52 \| moderate	9.766 \| good	43.392 \| good	12.98 \| good	1.54 \| good	6.176 \| good	0.172 \| good

Butler

Empower business decisions with accurate air quality data

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

0.15ppm

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

Air quality levels in US

Check live rankings of places in the USA affected by air pollution.

View Polluted Cities

Check live rankings of places in the USA with the cleanest air.

View Clean Cities

Frequently asked questions

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

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

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

Butler, Pennsylvania experienced its worst air quality at 05:00:00, 2025-10-21.

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

The best air quality in Butler, Pennsylvania was observed at 05:00:00 on 2025-10-21.

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

The air quality in Butler, Pennsylvania right now is Good, with an AQI of 22.

What pollutant is most frequently found in Butler, Pennsylvania?

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

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

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

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

Butler, Pennsylvania currently has a PM_2.5 concentration of 3.608 μg/m³.

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

Butler, Pennsylvania currently has a PM₁₀ concentration of 15.923 μg/m³.

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

The current carbon monoxide (CO) level in Butler, Pennsylvania is 0.115 ppm.

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

The current sulfur dioxide (SO₂) concentration in Butler, Pennsylvania is 1.384 ppb.

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

Butler, Pennsylvania currently has an ozone (O₃) concentration of 22.097 ppm.

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

The current level of nitrogen dioxide (NO₂) in Butler, Pennsylvania is 1.668 ppb.

Certified

APIs

Refund Policy

Historical Climate Data

Terms & Conditions

Refund Policy

Terms & Conditions

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-20T06:00:00.000Z	25 \| good	1.176 \| good	4.168 \| good	27.35 \| good	2.259 \| good	1.261 \| good	0.109 \| good
2025-10-20T07:00:00.000Z	23 \| good	1.213 \| good	4.928 \| good	25.383 \| good	1.827 \| good	1.235 \| good	0.106 \| good
2025-10-20T08:00:00.000Z	22 \| good	1.364 \| good	6.124 \| good	24.383 \| good	0.904 \| good	1.244 \| good	0.106 \| good
2025-10-20T09:00:00.000Z	23 \| good	2.228 \| good	10.241 \| good	24.746 \| good	1.011 \| good	1.707 \| good	0.103 \| good
2025-10-20T10:00:00.000Z	22 \| good	2.952 \| good	9.002 \| good	24.399 \| good	1.66 \| good	2.632 \| good	0.127 \| good
2025-10-20T11:00:00.000Z	24 \| good	3.311 \| good	11.161 \| good	26.012 \| good	1.552 \| good	2.76 \| good	0.119 \| good
2025-10-20T12:00:00.000Z	22 \| good	3.748 \| good	14.88 \| good	21.289 \| good	1.014 \| good	3.531 \| good	0.164 \| good
2025-10-20T13:00:00.000Z	22 \| good	3.748 \| good	16.654 \| good	22.466 \| good	0.898 \| good	5.42 \| good	0.179 \| good
2025-10-20T14:00:00.000Z	22 \| good	3.556 \| good	15.96 \| good	22.159 \| good	1.142 \| good	7.438 \| good	0.172 \| good
2025-10-20T15:00:00.000Z	22 \| good	3.627 \| good	16.071 \| good	19.621 \| good	1.787 \| good	6.599 \| good	0.158 \| good
2025-10-20T16:00:00.000Z	19 \| good	3.186 \| good	12.931 \| good	21.176 \| good	1.595 \| good	5.292 \| good	0.16 \| good
2025-10-20T17:00:00.000Z	24 \| good	3.242 \| good	13.975 \| good	25.514 \| good	1.464 \| good	4.026 \| good	0.156 \| good
2025-10-20T18:00:00.000Z	24 \| good	3.099 \| good	12 \| good	25.692 \| good	1.663 \| good	3.603 \| good	0.134 \| good
2025-10-20T19:00:00.000Z	24 \| good	2.962 \| good	11.898 \| good	26.281 \| good	2.454 \| good	2.941 \| good	0.131 \| good
2025-10-20T20:00:00.000Z	27 \| good	2.956 \| good	12.439 \| good	28.858 \| good	1.784 \| good	2.758 \| good	0.146 \| good
2025-10-20T21:00:00.000Z	27 \| good	2.765 \| good	10.952 \| good	29.489 \| good	1.02 \| good	2.373 \| good	0.15 \| good
2025-10-20T22:00:00.000Z	26 \| good	2.728 \| good	11.389 \| good	28.388 \| good	0.923 \| good	3.96 \| good	0.153 \| good
2025-10-20T23:00:00.000Z	28 \| good	2.789 \| good	10.37 \| good	29.768 \| good	0.909 \| good	3.202 \| good	0.151 \| good
2025-10-21T00:00:00.000Z	25 \| good	3.349 \| good	10.242 \| good	27.49 \| good	0.836 \| good	7.279 \| good	0.169 \| good
2025-10-21T01:00:00.000Z	22 \| good	3.196 \| good	13.9 \| good	23.649 \| good	1.496 \| good	10.833 \| good	0.21 \| good
2025-10-21T02:00:00.000Z	22 \| good	4.102 \| good	12.755 \| good	20.769 \| good	1.395 \| good	10.946 \| good	0.319 \| good
2025-10-21T03:00:00.000Z	44 \| good	7.974 \| good	35.076 \| good	13.273 \| good	1.386 \| good	13.715 \| good	0.232 \| good
2025-10-21T04:00:00.000Z	38 \| good	7.224 \| good	22.717 \| good	14.688 \| good	1.366 \| good	15.329 \| good	0.181 \| good
2025-10-21T05:00:00.000Z	44 \| good	8.09 \| good	30.952 \| good	11.902 \| good	1.373 \| good	11.147 \| good	0.196 \| good
2025-10-21T06:00:00.000Z	38 \| good	6.91 \| good	26.377 \| good	8.419 \| good	1.364 \| good	10.872 \| good	0.223 \| good
2025-10-21T07:00:00.000Z	33 \| good	5.622 \| good	22.879 \| good	10.674 \| good	1.406 \| good	10.2 \| good	0.203 \| good
2025-10-21T08:00:00.000Z	33 \| good	6.281 \| good	27.925 \| good	8.147 \| good	1.429 \| good	8.599 \| good	0.175 \| good
2025-10-21T09:00:00.000Z	33 \| good	6.408 \| good	22.024 \| good	9.47 \| good	1.456 \| good	6.888 \| good	0.235 \| good
2025-10-21T10:00:00.000Z	33 \| good	5.7 \| good	20.18 \| good	3.938 \| good	1.467 \| good	7.868 \| good	0.219 \| good
2025-10-21T11:00:00.000Z	33 \| good	6.428 \| good	18.859 \| good	5.628 \| good	1.464 \| good	6.577 \| good	0.214 \| good
2025-10-21T12:00:00.000Z	27 \| good	4.57 \| good	19.693 \| good	6.799 \| good	1.415 \| good	8.605 \| good	0.435 \| good
2025-10-21T13:00:00.000Z	33 \| good	6.328 \| good	21.451 \| good	5.51 \| good	1.764 \| good	7.155 \| good	0.277 \| good
2025-10-21T14:00:00.000Z	33 \| good	5.769 \| good	25.176 \| good	13.032 \| good	1.815 \| good	8.861 \| good	0.284 \| good
2025-10-21T15:00:00.000Z	22 \| good	4.263 \| good	16.18 \| good	19.673 \| good	1.465 \| good	9.558 \| good	0.254 \| good
2025-10-21T16:00:00.000Z	22 \| good	4.125 \| good	18.057 \| good	21.663 \| good	1.464 \| good	6.727 \| good	0.168 \| good
2025-10-21T17:00:00.000Z	22 \| good	4.02 \| good	15.551 \| good	23.439 \| good	1.463 \| good	3.808 \| good	0.161 \| good
2025-10-21T18:00:00.000Z	27 \| good	4.531 \| good	16.635 \| good	23.889 \| good	1.603 \| good	3.174 \| good	0.133 \| good
2025-10-21T19:00:00.000Z	27 \| good	4.12 \| good	19.621 \| good	28.655 \| good	1.468 \| good	2.907 \| good	0.115 \| good
2025-10-21T20:00:00.000Z	24 \| good	4.199 \| good	17.942 \| good	26.121 \| good	1.46 \| good	2.94 \| good	0.115 \| good
2025-10-21T21:00:00.000Z	27 \| good	4.6 \| good	19.817 \| good	28.175 \| good	1.454 \| good	2.762 \| good	0.166 \| good
2025-10-21T22:00:00.000Z	27 \| good	5.112 \| good	22.283 \| good	29.018 \| good	1.37 \| good	2.616 \| good	0.13 \| good
2025-10-21T23:00:00.000Z	28 \| good	4.444 \| good	17.008 \| good	29.957 \| good	1.559 \| good	2.67 \| good	0.133 \| good
2025-10-22T00:00:00.000Z	29 \| good	4.357 \| good	16.497 \| good	30.621 \| good	1.33 \| good	4.392 \| good	0.123 \| good
2025-10-22T01:00:00.000Z	33 \| good	5.525 \| good	23.034 \| good	26.845 \| good	1.327 \| good	4.576 \| good	0.147 \| good
2025-10-22T02:00:00.000Z	38 \| good	6.914 \| good	33.22 \| good	24.282 \| good	1.675 \| good	2.731 \| good	0.17 \| good
2025-10-22T03:00:00.000Z	25 \| good	3.811 \| good	16.692 \| good	26.577 \| good	1.955 \| good	6.063 \| good	0.164 \| good
2025-10-22T04:00:00.000Z	33 \| good	6.219 \| good	20.897 \| good	24.497 \| good	1.351 \| good	2.548 \| good	0.116 \| good
2025-10-22T05:00:00.000Z	22 \| good	3.608 \| good	15.923 \| good	22.097 \| good	1.384 \| good	1.668 \| good	0.115 \| good
2025-10-22T05:00:00.000Z	22 \| good	3.608 \| good	15.923 \| good	22.097 \| good	1.384 \| good	1.668 \| good	0.115 \| good
2025-10-19T06:00:00.000Z	49 \| good	8.502 \| good	37.163 \| good	19.506 \| good	3.311 \| good	5.179 \| good	0.19 \| good
2025-10-19T07:00:00.000Z	38 \| good	7.142 \| good	31.765 \| good	18.237 \| good	2.853 \| good	4.618 \| good	0.183 \| good
2025-10-19T08:00:00.000Z	33 \| good	5.909 \| good	26.362 \| good	17.523 \| good	2.395 \| good	4.057 \| good	0.177 \| good
2025-10-19T09:00:00.000Z	33 \| good	5.767 \| good	24.828 \| good	18.544 \| good	1.937 \| good	3.496 \| good	0.171 \| good
2025-10-19T10:00:00.000Z	22 \| good	4.471 \| good	19.234 \| good	21.629 \| good	1.871 \| good	3.587 \| good	0.175 \| good
2025-10-19T11:00:00.000Z	33 \| good	5.545 \| good	24.025 \| good	24.514 \| good	1.805 \| good	3.679 \| good	0.179 \| good
2025-10-19T12:00:00.000Z	38 \| good	7.457 \| good	32.832 \| good	28.233 \| good	1.739 \| good	3.77 \| good	0.182 \| good
2025-10-19T13:00:00.000Z	52 \| moderate	10.495 \| good	46.648 \| good	32.674 \| good	1.895 \| good	3.543 \| good	0.19 \| good
2025-10-19T14:00:00.000Z	58 \| moderate	12.795 \| fine	57 \| fine	37.806 \| good	2.05 \| good	3.315 \| good	0.197 \| good
2025-10-19T15:00:00.000Z	54 \| moderate	11.163 \| good	49.238 \| good	43.799 \| good	2.206 \| good	3.088 \| good	0.205 \| good
2025-10-19T16:00:00.000Z	49 \| good	8.867 \| good	39.017 \| good	48.719 \| good	2.111 \| good	2.461 \| good	0.191 \| good
2025-10-19T17:00:00.000Z	44 \| good	6.161 \| good	27.332 \| good	47.254 \| good	2.015 \| good	1.833 \| good	0.176 \| good
2025-10-19T18:00:00.000Z	39 \| good	4.149 \| good	18.142 \| good	42.215 \| good	1.92 \| good	1.206 \| good	0.162 \| good
2025-10-19T19:00:00.000Z	37 \| good	2.84 \| good	11.795 \| good	40.009 \| good	1.888 \| good	1.736 \| good	0.158 \| good
2025-10-19T20:00:00.000Z	38 \| good	3.573 \| good	16 \| good	40.818 \| good	1.856 \| good	2.267 \| good	0.155 \| good
2025-10-19T21:00:00.000Z	39 \| good	2.798 \| good	11.847 \| good	41.816 \| good	1.824 \| good	2.797 \| good	0.152 \| good
2025-10-19T22:00:00.000Z	39 \| good	2.683 \| good	10.969 \| good	42.085 \| good	1.78 \| good	3.256 \| good	0.153 \| good
2025-10-19T23:00:00.000Z	37 \| good	2.868 \| good	11.847 \| good	40.029 \| good	1.737 \| good	3.715 \| good	0.153 \| good
2025-10-20T00:00:00.000Z	32 \| good	3.094 \| good	12.582 \| good	35.216 \| good	1.694 \| good	4.174 \| good	0.154 \| good
2025-10-20T01:00:00.000Z	31 \| good	2.391 \| good	9.946 \| good	33.219 \| good	1.924 \| good	4.17 \| good	0.155 \| good
2025-10-20T02:00:00.000Z	28 \| good	2.448 \| good	10.042 \| good	30.344 \| good	2.153 \| good	4.166 \| good	0.156 \| good
2025-10-20T03:00:00.000Z	26 \| good	3.095 \| good	12.807 \| good	27.72 \| good	2.383 \| good	4.161 \| good	0.157 \| good
2025-10-20T04:00:00.000Z	26 \| good	3.267 \| good	14.212 \| good	27.572 \| good	2.401 \| good	4.092 \| good	0.156 \| good
2025-10-20T05:00:00.000Z	28 \| good	1.364 \| good	5.203 \| good	30.348 \| good	2.418 \| good	4.022 \| good	0.156 \| good
2025-10-20T06:00:00.000Z	28 \| good	0.952 \| good	3.862 \| good	30.276 \| good	2.436 \| good	3.953 \| good	0.155 \| good
2025-10-20T07:00:00.000Z	26 \| good	1.208 \| good	5 \| good	28.244 \| good	2.115 \| good	3.542 \| good	0.151 \| good
2025-10-20T08:00:00.000Z	24 \| good	1.855 \| good	7.941 \| good	26.23 \| good	1.795 \| good	3.132 \| good	0.147 \| good
2025-10-20T09:00:00.000Z	22 \| good	2.259 \| good	9.112 \| good	23.671 \| good	1.474 \| good	2.721 \| good	0.143 \| good
2025-10-20T10:00:00.000Z	20 \| good	2.387 \| good	10 \| good	21.798 \| good	1.139 \| good	2.421 \| good	0.138 \| good
2025-10-20T11:00:00.000Z	19 \| good	2.381 \| good	9.819 \| good	21.087 \| good	0.805 \| good	2.121 \| good	0.134 \| good
2025-10-20T12:00:00.000Z	17 \| good	3.482 \| good	15.354 \| good	17.732 \| good	0.47 \| good	1.82 \| good	0.13 \| good
2025-10-20T13:00:00.000Z	33 \| good	5.525 \| good	23.774 \| good	19.53 \| good	0.59 \| good	2.17 \| good	0.134 \| good
2025-10-20T14:00:00.000Z	38 \| good	6.913 \| good	30.658 \| good	26.034 \| good	0.711 \| good	2.52 \| good	0.138 \| good
2025-10-20T15:00:00.000Z	38 \| good	7.203 \| good	31.756 \| good	31.379 \| good	0.831 \| good	2.87 \| good	0.142 \| good
2025-10-20T16:00:00.000Z	44 \| good	7.534 \| good	33.451 \| good	35.897 \| good	0.801 \| good	2.432 \| good	0.138 \| good
2025-10-20T17:00:00.000Z	44 \| good	8.012 \| good	34.968 \| good	37.185 \| good	0.771 \| good	1.995 \| good	0.134 \| good
2025-10-20T18:00:00.000Z	38 \| good	6.666 \| good	29.563 \| good	37.381 \| good	0.741 \| good	1.557 \| good	0.131 \| good
2025-10-20T19:00:00.000Z	36 \| good	4.807 \| good	20.757 \| good	38.609 \| good	0.727 \| good	1.47 \| good	0.131 \| good
2025-10-20T20:00:00.000Z	35 \| good	4.229 \| good	18.678 \| good	38.367 \| good	0.712 \| good	1.383 \| good	0.13 \| good
2025-10-20T21:00:00.000Z	35 \| good	3.709 \| good	16.361 \| good	37.552 \| good	0.697 \| good	1.295 \| good	0.13 \| good
2025-10-20T22:00:00.000Z	33 \| good	3.163 \| good	13.755 \| good	35.695 \| good	0.705 \| good	2.825 \| good	0.143 \| good
2025-10-20T23:00:00.000Z	27 \| good	4.154 \| good	18.107 \| good	29.293 \| good	0.713 \| good	4.355 \| good	0.157 \| good
2025-10-21T00:00:00.000Z	25 \| good	2.659 \| good	2.668 \| good	27.158 \| good	0.724 \| good	5.886 \| good	0.171 \| good
2025-10-21T01:00:00.000Z	27 \| good	5.05 \| good	21.855 \| good	22.866 \| good	0.819 \| good	6.487 \| good	0.176 \| good
2025-10-21T02:00:00.000Z	33 \| good	5.516 \| good	23.834 \| good	20.704 \| good	0.917 \| good	7.09 \| good	0.182 \| good
2025-10-21T03:00:00.000Z	33 \| good	6.445 \| good	28.082 \| good	18.308 \| good	1.015 \| good	7.693 \| good	0.187 \| good
2025-10-21T04:00:00.000Z	44 \| good	8.437 \| good	37.116 \| good	15.325 \| good	1.278 \| good	6.935 \| good	0.18 \| good
2025-10-21T05:00:00.000Z	52 \| moderate	9.766 \| good	43.392 \| good	12.98 \| good	1.54 \| good	6.176 \| good	0.172 \| good

Current air quality index in Butler, Pennsylvania today

Common air pollutants in Butler, Pennsylvania

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Butler, Pennsylvania air quality forecast and history

Empower business decisions with accurate air quality data

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

Air quality in nearby cities

Adams Township, Pennsylvania

Cranberry Township, Pennsylvania

West Deer, Pennsylvania

Pine Township, Pennsylvania

McCandless, Pennsylvania

Lower Burrell, Pennsylvania

How accurate is Pennsylvania, USA air quality data?

Air quality levels in US

Frequently asked questions

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

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

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

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

What pollutant is most frequently found in Butler, Pennsylvania?

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

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

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

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

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

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

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

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

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

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

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