What are the current PM10 levels at Rochester, Michigan?

The current PM10 levels in Rochester, Michigan are 10.896 μg/m3.

What are the current sulfur dioxide (SO2) levels at Rochester, Michigan?

The current sulfur dioxide (SO2) levels in Rochester, Michigan are 0.954 ppb.

What are the current ozone (O3) levels at Rochester, Michigan?

The current ozone (O3) levels at Rochester, Michigan is 20.487 ppm.

What are the current nitrogen dioxide (NO2) levels at Rochester, Michigan?

The current nitrogen dioxide (NO2) levels at Rochester, Michigan is 5.894 ppb.

Real-time air quality index in Rochester, Michigan today

Name: Live air pollution levels in Rochester, Michigan today
Creator: Ambee

Stay updated with real-time air quality in Rochester, Michigan 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

Rochester, Michigan

Last updated: ... (Local time)

Common air pollutants in Rochester, Michigan

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

2.79 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

10.90 μg/m³

155

255

425

605+

Ozone (O₃)

20.49 ppb

201

201+

Sulfur Dioxide (SO₂)

0.95 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

5.89 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.12 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Rochester, Michigan

Get Live Pollen Counts

Rochester, Michigan

Scroll To Air Quality Map

Track live Rochester, Michigan air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-20T06:00:00.000Z	25 \| good	3.085 \| good	12.19 \| good	26.836 \| good	1.254 \| good	6.18 \| good	0.119 \| good
2025-10-20T07:00:00.000Z	21 \| good	3.07 \| good	13.112 \| good	22.735 \| good	1.256 \| good	3.457 \| good	0.115 \| good
2025-10-20T08:00:00.000Z	20 \| good	3.136 \| good	13.481 \| good	21.606 \| good	0.956 \| good	4.647 \| good	0.106 \| good
2025-10-20T09:00:00.000Z	17 \| good	3.215 \| good	12.614 \| good	17.975 \| good	1.236 \| good	8.062 \| good	0.115 \| good
2025-10-20T10:00:00.000Z	17 \| good	3.16 \| good	13.216 \| good	17.787 \| good	1.256 \| good	9.536 \| good	0.168 \| good
2025-10-20T11:00:00.000Z	16 \| good	3.227 \| good	10.793 \| good	16.707 \| good	1.092 \| good	10.766 \| good	0.164 \| good
2025-10-20T12:00:00.000Z	22 \| good	3.951 \| good	15.825 \| good	14.087 \| good	1.036 \| good	13.85 \| good	0.264 \| good
2025-10-20T13:00:00.000Z	22 \| good	3.941 \| good	15.035 \| good	13.835 \| good	1.09 \| good	13.958 \| good	0.311 \| good
2025-10-20T14:00:00.000Z	22 \| good	3.836 \| good	17.304 \| good	15.631 \| good	1.104 \| good	8.943 \| good	0.253 \| good
2025-10-20T15:00:00.000Z	22 \| good	3.881 \| good	14.59 \| good	17.585 \| good	1.068 \| good	6.996 \| good	0.243 \| good
2025-10-20T16:00:00.000Z	22 \| good	3.522 \| good	11.506 \| good	20.684 \| good	0.909 \| good	5.415 \| good	0.191 \| good
2025-10-20T17:00:00.000Z	20 \| good	2.698 \| good	9.957 \| good	22.419 \| good	0.882 \| good	4.846 \| good	0.138 \| good
2025-10-20T18:00:00.000Z	25 \| good	2.59 \| good	8.762 \| good	27.383 \| good	1.008 \| good	4.245 \| good	0.132 \| good
2025-10-20T19:00:00.000Z	28 \| good	2.372 \| good	11.467 \| good	30.087 \| good	1.007 \| good	4.531 \| good	0.128 \| good
2025-10-20T20:00:00.000Z	30 \| good	2.709 \| good	9.882 \| good	31.842 \| good	1.173 \| good	4.837 \| good	0.134 \| good
2025-10-20T21:00:00.000Z	30 \| good	2.358 \| good	9.743 \| good	31.61 \| good	1.714 \| good	5.791 \| good	0.13 \| good
2025-10-20T22:00:00.000Z	30 \| good	2.417 \| good	9.459 \| good	32.14 \| good	2.842 \| good	5.106 \| good	0.169 \| good
2025-10-20T23:00:00.000Z	29 \| good	2.69 \| good	11.048 \| good	31.44 \| good	1.158 \| good	3.764 \| good	0.161 \| good
2025-10-21T00:00:00.000Z	27 \| good	5.016 \| good	23.347 \| good	17.315 \| good	1.152 \| good	5.005 \| good	0.226 \| good
2025-10-21T01:00:00.000Z	27 \| good	4.634 \| good	17.234 \| good	17.138 \| good	1.437 \| good	8.196 \| good	0.285 \| good
2025-10-21T02:00:00.000Z	22 \| good	3.972 \| good	17.031 \| good	12.108 \| good	1.314 \| good	16.499 \| good	0.28 \| good
2025-10-21T03:00:00.000Z	58 \| moderate	12.704 \| fine	57.5 \| fine	9.585 \| good	1.563 \| good	12.859 \| good	0.218 \| good
2025-10-21T04:00:00.000Z	54 \| moderate	11.013 \| good	24.601 \| good	16.454 \| good	1.315 \| good	15.573 \| good	0.191 \| good
2025-10-21T05:00:00.000Z	27 \| good	5.379 \| good	21.242 \| good	17.671 \| good	2.788 \| good	12.656 \| good	0.136 \| good
2025-10-21T06:00:00.000Z	27 \| good	4.601 \| good	18.799 \| good	22.736 \| good	2.773 \| good	11.645 \| good	0.141 \| good
2025-10-21T07:00:00.000Z	27 \| good	4.892 \| good	24.535 \| good	20.114 \| good	7.847 \| good	11.97 \| good	0.136 \| good
2025-10-21T08:00:00.000Z	22 \| good	3.861 \| good	19.614 \| good	22.313 \| good	3.818 \| good	12.332 \| good	0.115 \| good
2025-10-21T09:00:00.000Z	23 \| good	3.594 \| good	13.771 \| good	24.742 \| good	4.8 \| good	9.203 \| good	0.13 \| good
2025-10-21T10:00:00.000Z	22 \| good	3.916 \| good	11.711 \| good	24.316 \| good	1.609 \| good	9.637 \| good	0.153 \| good
2025-10-21T11:00:00.000Z	28 \| good	5.349 \| good	30.296 \| good	23.465 \| good	1.336 \| good	7.651 \| good	0.167 \| good
2025-10-21T12:00:00.000Z	27 \| good	4.771 \| good	18.141 \| good	25.011 \| good	1.337 \| good	9.122 \| good	0.234 \| good
2025-10-21T13:00:00.000Z	33 \| good	6.44 \| good	15.448 \| good	20.16 \| good	1.5 \| good	10.096 \| good	0.193 \| good
2025-10-21T14:00:00.000Z	27 \| good	4.6 \| good	18.89 \| good	21.484 \| good	1.581 \| good	11.963 \| good	0.193 \| good
2025-10-21T15:00:00.000Z	27 \| good	5.263 \| good	21.724 \| good	21.971 \| good	1.067 \| good	8.44 \| good	0.2 \| good
2025-10-21T16:00:00.000Z	27 \| good	4.611 \| good	20.866 \| good	24.367 \| good	2.965 \| good	6.445 \| good	0.122 \| good
2025-10-21T17:00:00.000Z	25 \| good	4.242 \| good	15.338 \| good	26.889 \| good	1.399 \| good	4.751 \| good	0.123 \| good
2025-10-21T18:00:00.000Z	29 \| good	3.751 \| good	12.968 \| good	31.045 \| good	1.144 \| good	4.387 \| good	0.11 \| good
2025-10-21T19:00:00.000Z	30 \| good	2.922 \| good	13.018 \| good	32.467 \| good	1.76 \| good	4.647 \| good	0.11 \| good
2025-10-21T20:00:00.000Z	31 \| good	3.208 \| good	15.397 \| good	32.715 \| good	2.393 \| good	4.836 \| good	0.141 \| good
2025-10-21T21:00:00.000Z	29 \| good	3.409 \| good	17.196 \| good	30.859 \| good	1.005 \| good	3.871 \| good	0.17 \| good
2025-10-21T22:00:00.000Z	28 \| good	3.299 \| good	12.126 \| good	30.098 \| good	0.988 \| good	5.583 \| good	0.17 \| good
2025-10-21T23:00:00.000Z	26 \| good	3.668 \| good	12.558 \| good	27.903 \| good	1.359 \| good	7.105 \| good	0.187 \| good
2025-10-22T00:00:00.000Z	26 \| good	3.587 \| good	12.824 \| good	28.031 \| good	1.317 \| good	6.072 \| good	0.163 \| good
2025-10-22T01:00:00.000Z	27 \| good	5.021 \| good	18.664 \| good	22.667 \| good	1.338 \| good	10.088 \| good	0.191 \| good
2025-10-22T02:00:00.000Z	27 \| good	5.499 \| good	28.188 \| good	26.321 \| good	1.318 \| good	8.779 \| good	0.196 \| good
2025-10-22T03:00:00.000Z	25 \| good	4.001 \| good	17.703 \| good	27.461 \| good	0.842 \| good	4.928 \| good	0.15 \| good
2025-10-22T04:00:00.000Z	19 \| good	2.814 \| good	9.191 \| good	20.656 \| good	1.154 \| good	7.3 \| good	0.132 \| good
2025-10-22T05:00:00.000Z	19 \| good	2.79 \| good	10.896 \| good	20.487 \| good	0.954 \| good	5.894 \| good	0.119 \| good
2025-10-22T05:00:00.000Z	19 \| good	2.79 \| good	10.896 \| good	20.487 \| good	0.954 \| good	5.894 \| good	0.119 \| good
2025-10-22T06:00:00.000Z	24 \| good	3.148 \| good	13.818 \| good	25.809 \| good	0.617 \| good	3.564 \| good	0.144 \| good
2025-10-22T07:00:00.000Z	22 \| good	2.939 \| good	12 \| good	24.455 \| good	0.544 \| good	3.249 \| good	0.141 \| good
2025-10-22T08:00:00.000Z	22 \| good	4.047 \| good	17.68 \| good	24.296 \| good	0.471 \| good	2.934 \| good	0.137 \| good
2025-10-22T09:00:00.000Z	27 \| good	4.682 \| good	20.551 \| good	23.718 \| good	0.398 \| good	2.619 \| good	0.134 \| good
2025-10-22T10:00:00.000Z	22 \| good	3.988 \| good	17.613 \| good	19.652 \| good	0.426 \| good	2.868 \| good	0.134 \| good
2025-10-22T11:00:00.000Z	19 \| good	2.953 \| good	11.974 \| good	19.511 \| good	0.454 \| good	3.116 \| good	0.135 \| good
2025-10-22T12:00:00.000Z	18 \| good	3.207 \| good	13.955 \| good	19.123 \| good	0.482 \| good	3.365 \| good	0.136 \| good
2025-10-22T13:00:00.000Z	16 \| good	3.207 \| good	13.893 \| good	13.838 \| good	0.49 \| good	3.557 \| good	0.139 \| good
2025-10-22T14:00:00.000Z	16 \| good	3.44 \| good	15.085 \| good	15.347 \| good	0.498 \| good	3.748 \| good	0.143 \| good
2025-10-22T15:00:00.000Z	22 \| good	3.826 \| good	16.614 \| good	16.434 \| good	0.505 \| good	3.94 \| good	0.146 \| good
2025-10-22T16:00:00.000Z	22 \| good	3.909 \| good	16.987 \| good	18.694 \| good	0.474 \| good	3.339 \| good	0.142 \| good
2025-10-22T17:00:00.000Z	22 \| good	4.131 \| good	17.99 \| good	23.35 \| good	0.442 \| good	2.738 \| good	0.138 \| good
2025-10-22T18:00:00.000Z	24 \| good	3.751 \| good	16.54 \| good	25.655 \| good	0.411 \| good	2.137 \| good	0.134 \| good
2025-10-22T19:00:00.000Z	21 \| good	2.162 \| good	8.724 \| good	23.12 \| good	0.392 \| good	2.312 \| good	0.136 \| good
2025-10-22T20:00:00.000Z	20 \| good	1.832 \| good	7.578 \| good	21.893 \| good	0.373 \| good	2.487 \| good	0.138 \| good
2025-10-22T21:00:00.000Z	20 \| good	1.601 \| good	6.654 \| good	22.077 \| good	0.355 \| good	2.662 \| good	0.14 \| good
2025-10-22T22:00:00.000Z	23 \| good	0.837 \| good	3.04 \| good	25.008 \| good	0.388 \| good	3.57 \| good	0.147 \| good
2025-10-22T23:00:00.000Z	27 \| good	0.343 \| good	1.115 \| good	28.832 \| good	0.422 \| good	4.477 \| good	0.155 \| good
2025-10-23T00:00:00.000Z	27 \| good	1.12 \| good	4.639 \| good	29.418 \| good	0.456 \| good	5.385 \| good	0.163 \| good
2025-10-23T01:00:00.000Z	21 \| good	1.565 \| good	6.551 \| good	23.183 \| good	0.449 \| good	4.881 \| good	0.159 \| good
2025-10-23T02:00:00.000Z	23 \| good	1.247 \| good	4.823 \| good	25.044 \| good	0.441 \| good	4.377 \| good	0.154 \| good
2025-10-23T03:00:00.000Z	24 \| good	1.268 \| good	4.985 \| good	26.207 \| good	0.434 \| good	3.873 \| good	0.15 \| good
2025-10-23T04:00:00.000Z	26 \| good	1.252 \| good	4.985 \| good	28.31 \| good	0.415 \| good	3.526 \| good	0.148 \| good
2025-10-23T05:00:00.000Z	26 \| good	1.12 \| good	4.614 \| good	27.91 \| good	0.396 \| good	3.178 \| good	0.145 \| good
2025-10-23T06:00:00.000Z	26 \| good	0.37 \| good	1.141 \| good	27.677 \| good	0.377 \| good	2.831 \| good	0.143 \| good
2025-10-23T07:00:00.000Z	24 \| good	0.071 \| good	0 \| good	26.04 \| good	0.357 \| good	2.554 \| good	0.141 \| good
2025-10-23T08:00:00.000Z	25 \| good	0.971 \| good	3.985 \| good	27.126 \| good	0.338 \| good	2.277 \| good	0.14 \| good
2025-10-23T09:00:00.000Z	26 \| good	1.619 \| good	6.654 \| good	28.365 \| good	0.318 \| good	2 \| good	0.138 \| good
2025-10-23T10:00:00.000Z	23 \| good	1.475 \| good	5.715 \| good	25.039 \| good	0.31 \| good	2.104 \| good	0.138 \| good
2025-10-23T11:00:00.000Z	19 \| good	0.371 \| good	1.579 \| good	21.415 \| good	0.303 \| good	2.208 \| good	0.137 \| good
2025-10-23T12:00:00.000Z	19 \| good	0.315 \| good	1.056 \| good	20.421 \| good	0.295 \| good	2.312 \| good	0.137 \| good
2025-10-23T13:00:00.000Z	19 \| good	0.236 \| good	0.67 \| good	20.235 \| good	0.283 \| good	2.085 \| good	0.135 \| good
2025-10-23T14:00:00.000Z	20 \| good	0.415 \| good	1.665 \| good	22.049 \| good	0.272 \| good	1.859 \| good	0.134 \| good
2025-10-23T15:00:00.000Z	21 \| good	0.292 \| good	1 \| good	22.646 \| good	0.261 \| good	1.633 \| good	0.132 \| good
2025-10-23T16:00:00.000Z	24 \| good	0.08 \| good	0 \| good	25.584 \| good	0.253 \| good	1.466 \| good	0.133 \| good
2025-10-23T17:00:00.000Z	25 \| good	0.105 \| good	0.076 \| good	26.862 \| good	0.245 \| good	1.298 \| good	0.134 \| good
2025-10-23T18:00:00.000Z	25 \| good	0.335 \| good	1.141 \| good	26.816 \| good	0.238 \| good	1.131 \| good	0.135 \| good
2025-10-23T19:00:00.000Z	23 \| good	1.366 \| good	5.645 \| good	24.646 \| good	0.226 \| good	1.335 \| good	0.136 \| good
2025-10-23T20:00:00.000Z	22 \| good	1.618 \| good	6.654 \| good	24.374 \| good	0.214 \| good	1.539 \| good	0.137 \| good
2025-10-23T21:00:00.000Z	23 \| good	0.909 \| good	3.604 \| good	25.216 \| good	0.203 \| good	1.743 \| good	0.138 \| good
2025-10-23T22:00:00.000Z	21 \| good	0.64 \| good	2.548 \| good	22.505 \| good	0.264 \| good	2.929 \| good	0.148 \| good
2025-10-23T23:00:00.000Z	19 \| good	1.079 \| good	4.576 \| good	21.258 \| good	0.325 \| good	4.114 \| good	0.157 \| good
2025-10-24T00:00:00.000Z	21 \| good	1.951 \| good	7.987 \| good	23.245 \| good	0.386 \| good	5.3 \| good	0.167 \| good
2025-10-24T01:00:00.000Z	19 \| good	1.905 \| good	7.936 \| good	20.7 \| good	0.42 \| good	5.352 \| good	0.166 \| good
2025-10-24T02:00:00.000Z	19 \| good	1.74 \| good	7.452 \| good	20.529 \| good	0.454 \| good	5.403 \| good	0.165 \| good
2025-10-24T03:00:00.000Z	19 \| good	1.282 \| good	5.01 \| good	20.415 \| good	0.488 \| good	5.455 \| good	0.164 \| good
2025-10-24T04:00:00.000Z	18 \| good	1.206 \| good	4.963 \| good	19.21 \| good	0.461 \| good	5.009 \| good	0.16 \| good
2025-10-24T05:00:00.000Z	17 \| good	1.78 \| good	7.566 \| good	17.662 \| good	0.434 \| good	4.564 \| good	0.156 \| good

Rochester

Empower business decisions with accurate air quality data

Rochester, Michigan air quality map: Real-time AQI near you

0.13ppm

How accurate is Michigan, USA air quality data?

Air quality measurements for Michigan, 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

Air quality levels in US

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

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

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Frequently asked questions

How frequently is the air quality data for Rochester, Michigan updated?

Air quality data for Rochester, Michigan is updated on an hourly basis.

When did Rochester, Michigan experience the worst air quality in the last 24 hours?

The worst air quality in Rochester, Michigan was recorded at 01:00:00 on 2025-10-21.

When did Rochester, Michigan have its best air quality in the last 24 hours?

The best air quality in Rochester, Michigan was recorded at 04:00:00 on 2025-10-22.

What is the real-time air quality index for Rochester, Michigan?

The real-time air quality index in Rochester, Michigan is 19, currently categorized as Good.

Which pollutant is found most often in Rochester, Michigan?

The most common pollutant in Rochester, Michigan is O3.

What can I do if the air quality in Rochester, Michigan is poor?

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

What are the current PM_2.5 levels in Rochester, Michigan?

The measured PM_2.5 levels in Rochester, Michigan at present are 2.79 μg/m³.

What are the current PM₁₀ levels at Rochester, Michigan?

The current PM₁₀ levels in Rochester, Michigan are 10.896 μg/m³.

What are the current carbon monoxide (CO) levels at Rochester, Michigan?

The current carbon monoxide (CO) level in Rochester, Michigan is 0.119 ppm.

What are the current sulfur dioxide (SO₂) levels at Rochester, Michigan?

The current sulfur dioxide (SO₂) levels in Rochester, Michigan are 0.954 ppb.

What are the current ozone (O₃) levels at Rochester, Michigan?

The current ozone (O₃) levels at Rochester, Michigan is 20.487 ppm.

What are the current nitrogen dioxide (NO₂) levels at Rochester, Michigan?

The current nitrogen dioxide (NO₂) levels at Rochester, Michigan is 5.894 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-20T06:00:00.000Z	25 \| good	3.085 \| good	12.19 \| good	26.836 \| good	1.254 \| good	6.18 \| good	0.119 \| good
2025-10-20T07:00:00.000Z	21 \| good	3.07 \| good	13.112 \| good	22.735 \| good	1.256 \| good	3.457 \| good	0.115 \| good
2025-10-20T08:00:00.000Z	20 \| good	3.136 \| good	13.481 \| good	21.606 \| good	0.956 \| good	4.647 \| good	0.106 \| good
2025-10-20T09:00:00.000Z	17 \| good	3.215 \| good	12.614 \| good	17.975 \| good	1.236 \| good	8.062 \| good	0.115 \| good
2025-10-20T10:00:00.000Z	17 \| good	3.16 \| good	13.216 \| good	17.787 \| good	1.256 \| good	9.536 \| good	0.168 \| good
2025-10-20T11:00:00.000Z	16 \| good	3.227 \| good	10.793 \| good	16.707 \| good	1.092 \| good	10.766 \| good	0.164 \| good
2025-10-20T12:00:00.000Z	22 \| good	3.951 \| good	15.825 \| good	14.087 \| good	1.036 \| good	13.85 \| good	0.264 \| good
2025-10-20T13:00:00.000Z	22 \| good	3.941 \| good	15.035 \| good	13.835 \| good	1.09 \| good	13.958 \| good	0.311 \| good
2025-10-20T14:00:00.000Z	22 \| good	3.836 \| good	17.304 \| good	15.631 \| good	1.104 \| good	8.943 \| good	0.253 \| good
2025-10-20T15:00:00.000Z	22 \| good	3.881 \| good	14.59 \| good	17.585 \| good	1.068 \| good	6.996 \| good	0.243 \| good
2025-10-20T16:00:00.000Z	22 \| good	3.522 \| good	11.506 \| good	20.684 \| good	0.909 \| good	5.415 \| good	0.191 \| good
2025-10-20T17:00:00.000Z	20 \| good	2.698 \| good	9.957 \| good	22.419 \| good	0.882 \| good	4.846 \| good	0.138 \| good
2025-10-20T18:00:00.000Z	25 \| good	2.59 \| good	8.762 \| good	27.383 \| good	1.008 \| good	4.245 \| good	0.132 \| good
2025-10-20T19:00:00.000Z	28 \| good	2.372 \| good	11.467 \| good	30.087 \| good	1.007 \| good	4.531 \| good	0.128 \| good
2025-10-20T20:00:00.000Z	30 \| good	2.709 \| good	9.882 \| good	31.842 \| good	1.173 \| good	4.837 \| good	0.134 \| good
2025-10-20T21:00:00.000Z	30 \| good	2.358 \| good	9.743 \| good	31.61 \| good	1.714 \| good	5.791 \| good	0.13 \| good
2025-10-20T22:00:00.000Z	30 \| good	2.417 \| good	9.459 \| good	32.14 \| good	2.842 \| good	5.106 \| good	0.169 \| good
2025-10-20T23:00:00.000Z	29 \| good	2.69 \| good	11.048 \| good	31.44 \| good	1.158 \| good	3.764 \| good	0.161 \| good
2025-10-21T00:00:00.000Z	27 \| good	5.016 \| good	23.347 \| good	17.315 \| good	1.152 \| good	5.005 \| good	0.226 \| good
2025-10-21T01:00:00.000Z	27 \| good	4.634 \| good	17.234 \| good	17.138 \| good	1.437 \| good	8.196 \| good	0.285 \| good
2025-10-21T02:00:00.000Z	22 \| good	3.972 \| good	17.031 \| good	12.108 \| good	1.314 \| good	16.499 \| good	0.28 \| good
2025-10-21T03:00:00.000Z	58 \| moderate	12.704 \| fine	57.5 \| fine	9.585 \| good	1.563 \| good	12.859 \| good	0.218 \| good
2025-10-21T04:00:00.000Z	54 \| moderate	11.013 \| good	24.601 \| good	16.454 \| good	1.315 \| good	15.573 \| good	0.191 \| good
2025-10-21T05:00:00.000Z	27 \| good	5.379 \| good	21.242 \| good	17.671 \| good	2.788 \| good	12.656 \| good	0.136 \| good
2025-10-21T06:00:00.000Z	27 \| good	4.601 \| good	18.799 \| good	22.736 \| good	2.773 \| good	11.645 \| good	0.141 \| good
2025-10-21T07:00:00.000Z	27 \| good	4.892 \| good	24.535 \| good	20.114 \| good	7.847 \| good	11.97 \| good	0.136 \| good
2025-10-21T08:00:00.000Z	22 \| good	3.861 \| good	19.614 \| good	22.313 \| good	3.818 \| good	12.332 \| good	0.115 \| good
2025-10-21T09:00:00.000Z	23 \| good	3.594 \| good	13.771 \| good	24.742 \| good	4.8 \| good	9.203 \| good	0.13 \| good
2025-10-21T10:00:00.000Z	22 \| good	3.916 \| good	11.711 \| good	24.316 \| good	1.609 \| good	9.637 \| good	0.153 \| good
2025-10-21T11:00:00.000Z	28 \| good	5.349 \| good	30.296 \| good	23.465 \| good	1.336 \| good	7.651 \| good	0.167 \| good
2025-10-21T12:00:00.000Z	27 \| good	4.771 \| good	18.141 \| good	25.011 \| good	1.337 \| good	9.122 \| good	0.234 \| good
2025-10-21T13:00:00.000Z	33 \| good	6.44 \| good	15.448 \| good	20.16 \| good	1.5 \| good	10.096 \| good	0.193 \| good
2025-10-21T14:00:00.000Z	27 \| good	4.6 \| good	18.89 \| good	21.484 \| good	1.581 \| good	11.963 \| good	0.193 \| good
2025-10-21T15:00:00.000Z	27 \| good	5.263 \| good	21.724 \| good	21.971 \| good	1.067 \| good	8.44 \| good	0.2 \| good
2025-10-21T16:00:00.000Z	27 \| good	4.611 \| good	20.866 \| good	24.367 \| good	2.965 \| good	6.445 \| good	0.122 \| good
2025-10-21T17:00:00.000Z	25 \| good	4.242 \| good	15.338 \| good	26.889 \| good	1.399 \| good	4.751 \| good	0.123 \| good
2025-10-21T18:00:00.000Z	29 \| good	3.751 \| good	12.968 \| good	31.045 \| good	1.144 \| good	4.387 \| good	0.11 \| good
2025-10-21T19:00:00.000Z	30 \| good	2.922 \| good	13.018 \| good	32.467 \| good	1.76 \| good	4.647 \| good	0.11 \| good
2025-10-21T20:00:00.000Z	31 \| good	3.208 \| good	15.397 \| good	32.715 \| good	2.393 \| good	4.836 \| good	0.141 \| good
2025-10-21T21:00:00.000Z	29 \| good	3.409 \| good	17.196 \| good	30.859 \| good	1.005 \| good	3.871 \| good	0.17 \| good
2025-10-21T22:00:00.000Z	28 \| good	3.299 \| good	12.126 \| good	30.098 \| good	0.988 \| good	5.583 \| good	0.17 \| good
2025-10-21T23:00:00.000Z	26 \| good	3.668 \| good	12.558 \| good	27.903 \| good	1.359 \| good	7.105 \| good	0.187 \| good
2025-10-22T00:00:00.000Z	26 \| good	3.587 \| good	12.824 \| good	28.031 \| good	1.317 \| good	6.072 \| good	0.163 \| good
2025-10-22T01:00:00.000Z	27 \| good	5.021 \| good	18.664 \| good	22.667 \| good	1.338 \| good	10.088 \| good	0.191 \| good
2025-10-22T02:00:00.000Z	27 \| good	5.499 \| good	28.188 \| good	26.321 \| good	1.318 \| good	8.779 \| good	0.196 \| good
2025-10-22T03:00:00.000Z	25 \| good	4.001 \| good	17.703 \| good	27.461 \| good	0.842 \| good	4.928 \| good	0.15 \| good
2025-10-22T04:00:00.000Z	19 \| good	2.814 \| good	9.191 \| good	20.656 \| good	1.154 \| good	7.3 \| good	0.132 \| good
2025-10-22T05:00:00.000Z	19 \| good	2.79 \| good	10.896 \| good	20.487 \| good	0.954 \| good	5.894 \| good	0.119 \| good
2025-10-22T05:00:00.000Z	19 \| good	2.79 \| good	10.896 \| good	20.487 \| good	0.954 \| good	5.894 \| good	0.119 \| good
2025-10-22T06:00:00.000Z	24 \| good	3.148 \| good	13.818 \| good	25.809 \| good	0.617 \| good	3.564 \| good	0.144 \| good
2025-10-22T07:00:00.000Z	22 \| good	2.939 \| good	12 \| good	24.455 \| good	0.544 \| good	3.249 \| good	0.141 \| good
2025-10-22T08:00:00.000Z	22 \| good	4.047 \| good	17.68 \| good	24.296 \| good	0.471 \| good	2.934 \| good	0.137 \| good
2025-10-22T09:00:00.000Z	27 \| good	4.682 \| good	20.551 \| good	23.718 \| good	0.398 \| good	2.619 \| good	0.134 \| good
2025-10-22T10:00:00.000Z	22 \| good	3.988 \| good	17.613 \| good	19.652 \| good	0.426 \| good	2.868 \| good	0.134 \| good
2025-10-22T11:00:00.000Z	19 \| good	2.953 \| good	11.974 \| good	19.511 \| good	0.454 \| good	3.116 \| good	0.135 \| good
2025-10-22T12:00:00.000Z	18 \| good	3.207 \| good	13.955 \| good	19.123 \| good	0.482 \| good	3.365 \| good	0.136 \| good
2025-10-22T13:00:00.000Z	16 \| good	3.207 \| good	13.893 \| good	13.838 \| good	0.49 \| good	3.557 \| good	0.139 \| good
2025-10-22T14:00:00.000Z	16 \| good	3.44 \| good	15.085 \| good	15.347 \| good	0.498 \| good	3.748 \| good	0.143 \| good
2025-10-22T15:00:00.000Z	22 \| good	3.826 \| good	16.614 \| good	16.434 \| good	0.505 \| good	3.94 \| good	0.146 \| good
2025-10-22T16:00:00.000Z	22 \| good	3.909 \| good	16.987 \| good	18.694 \| good	0.474 \| good	3.339 \| good	0.142 \| good
2025-10-22T17:00:00.000Z	22 \| good	4.131 \| good	17.99 \| good	23.35 \| good	0.442 \| good	2.738 \| good	0.138 \| good
2025-10-22T18:00:00.000Z	24 \| good	3.751 \| good	16.54 \| good	25.655 \| good	0.411 \| good	2.137 \| good	0.134 \| good
2025-10-22T19:00:00.000Z	21 \| good	2.162 \| good	8.724 \| good	23.12 \| good	0.392 \| good	2.312 \| good	0.136 \| good
2025-10-22T20:00:00.000Z	20 \| good	1.832 \| good	7.578 \| good	21.893 \| good	0.373 \| good	2.487 \| good	0.138 \| good
2025-10-22T21:00:00.000Z	20 \| good	1.601 \| good	6.654 \| good	22.077 \| good	0.355 \| good	2.662 \| good	0.14 \| good
2025-10-22T22:00:00.000Z	23 \| good	0.837 \| good	3.04 \| good	25.008 \| good	0.388 \| good	3.57 \| good	0.147 \| good
2025-10-22T23:00:00.000Z	27 \| good	0.343 \| good	1.115 \| good	28.832 \| good	0.422 \| good	4.477 \| good	0.155 \| good
2025-10-23T00:00:00.000Z	27 \| good	1.12 \| good	4.639 \| good	29.418 \| good	0.456 \| good	5.385 \| good	0.163 \| good
2025-10-23T01:00:00.000Z	21 \| good	1.565 \| good	6.551 \| good	23.183 \| good	0.449 \| good	4.881 \| good	0.159 \| good
2025-10-23T02:00:00.000Z	23 \| good	1.247 \| good	4.823 \| good	25.044 \| good	0.441 \| good	4.377 \| good	0.154 \| good
2025-10-23T03:00:00.000Z	24 \| good	1.268 \| good	4.985 \| good	26.207 \| good	0.434 \| good	3.873 \| good	0.15 \| good
2025-10-23T04:00:00.000Z	26 \| good	1.252 \| good	4.985 \| good	28.31 \| good	0.415 \| good	3.526 \| good	0.148 \| good
2025-10-23T05:00:00.000Z	26 \| good	1.12 \| good	4.614 \| good	27.91 \| good	0.396 \| good	3.178 \| good	0.145 \| good
2025-10-23T06:00:00.000Z	26 \| good	0.37 \| good	1.141 \| good	27.677 \| good	0.377 \| good	2.831 \| good	0.143 \| good
2025-10-23T07:00:00.000Z	24 \| good	0.071 \| good	0 \| good	26.04 \| good	0.357 \| good	2.554 \| good	0.141 \| good
2025-10-23T08:00:00.000Z	25 \| good	0.971 \| good	3.985 \| good	27.126 \| good	0.338 \| good	2.277 \| good	0.14 \| good
2025-10-23T09:00:00.000Z	26 \| good	1.619 \| good	6.654 \| good	28.365 \| good	0.318 \| good	2 \| good	0.138 \| good
2025-10-23T10:00:00.000Z	23 \| good	1.475 \| good	5.715 \| good	25.039 \| good	0.31 \| good	2.104 \| good	0.138 \| good
2025-10-23T11:00:00.000Z	19 \| good	0.371 \| good	1.579 \| good	21.415 \| good	0.303 \| good	2.208 \| good	0.137 \| good
2025-10-23T12:00:00.000Z	19 \| good	0.315 \| good	1.056 \| good	20.421 \| good	0.295 \| good	2.312 \| good	0.137 \| good
2025-10-23T13:00:00.000Z	19 \| good	0.236 \| good	0.67 \| good	20.235 \| good	0.283 \| good	2.085 \| good	0.135 \| good
2025-10-23T14:00:00.000Z	20 \| good	0.415 \| good	1.665 \| good	22.049 \| good	0.272 \| good	1.859 \| good	0.134 \| good
2025-10-23T15:00:00.000Z	21 \| good	0.292 \| good	1 \| good	22.646 \| good	0.261 \| good	1.633 \| good	0.132 \| good
2025-10-23T16:00:00.000Z	24 \| good	0.08 \| good	0 \| good	25.584 \| good	0.253 \| good	1.466 \| good	0.133 \| good
2025-10-23T17:00:00.000Z	25 \| good	0.105 \| good	0.076 \| good	26.862 \| good	0.245 \| good	1.298 \| good	0.134 \| good
2025-10-23T18:00:00.000Z	25 \| good	0.335 \| good	1.141 \| good	26.816 \| good	0.238 \| good	1.131 \| good	0.135 \| good
2025-10-23T19:00:00.000Z	23 \| good	1.366 \| good	5.645 \| good	24.646 \| good	0.226 \| good	1.335 \| good	0.136 \| good
2025-10-23T20:00:00.000Z	22 \| good	1.618 \| good	6.654 \| good	24.374 \| good	0.214 \| good	1.539 \| good	0.137 \| good
2025-10-23T21:00:00.000Z	23 \| good	0.909 \| good	3.604 \| good	25.216 \| good	0.203 \| good	1.743 \| good	0.138 \| good
2025-10-23T22:00:00.000Z	21 \| good	0.64 \| good	2.548 \| good	22.505 \| good	0.264 \| good	2.929 \| good	0.148 \| good
2025-10-23T23:00:00.000Z	19 \| good	1.079 \| good	4.576 \| good	21.258 \| good	0.325 \| good	4.114 \| good	0.157 \| good
2025-10-24T00:00:00.000Z	21 \| good	1.951 \| good	7.987 \| good	23.245 \| good	0.386 \| good	5.3 \| good	0.167 \| good
2025-10-24T01:00:00.000Z	19 \| good	1.905 \| good	7.936 \| good	20.7 \| good	0.42 \| good	5.352 \| good	0.166 \| good
2025-10-24T02:00:00.000Z	19 \| good	1.74 \| good	7.452 \| good	20.529 \| good	0.454 \| good	5.403 \| good	0.165 \| good
2025-10-24T03:00:00.000Z	19 \| good	1.282 \| good	5.01 \| good	20.415 \| good	0.488 \| good	5.455 \| good	0.164 \| good
2025-10-24T04:00:00.000Z	18 \| good	1.206 \| good	4.963 \| good	19.21 \| good	0.461 \| good	5.009 \| good	0.16 \| good
2025-10-24T05:00:00.000Z	17 \| good	1.78 \| good	7.566 \| good	17.662 \| good	0.434 \| good	4.564 \| good	0.156 \| good

Real-time air quality index in Rochester, Michigan today

Common air pollutants in Rochester, Michigan

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Rochester, Michigan air quality forecast and history

Empower business decisions with accurate air quality data

Rochester, Michigan air quality map: Real-time AQI near you

Air quality in nearby cities

Rochester Hills, Michigan

Shelby Charter Township, Michigan

Auburn Hills, Michigan

Troy City, Michigan

Oakland Charter Township, Michigan

Pontiac, Michigan

How accurate is Michigan, USA air quality data?

Air quality levels in US

Frequently asked questions

How frequently is the air quality data for Rochester, Michigan updated?

When did Rochester, Michigan experience the worst air quality in the last 24 hours?

When did Rochester, Michigan have its best air quality in the last 24 hours?

What is the real-time air quality index for Rochester, Michigan?

Which pollutant is found most often in Rochester, Michigan?

What can I do if the air quality in Rochester, Michigan is poor?

What are the current PM2.5 levels in Rochester, Michigan?

What are the current PM10 levels at Rochester, Michigan?

What are the current carbon monoxide (CO) levels at Rochester, Michigan?

What are the current sulfur dioxide (SO2) levels at Rochester, Michigan?

What are the current ozone (O3) levels at Rochester, Michigan?

What are the current nitrogen dioxide (NO2) levels at Rochester, Michigan?

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 Rochester, Michigan?

What are the current PM₁₀ levels at Rochester, Michigan?

What are the current sulfur dioxide (SO₂) levels at Rochester, Michigan?

What are the current ozone (O₃) levels at Rochester, Michigan?

What are the current nitrogen dioxide (NO₂) levels at Rochester, Michigan?