What is the current concentration of PM10 in Rochester Hills, Michigan?

The current PM10 concentration at Rochester Hills, Michigan is 18.008 μg/m3.

What is the current concentration of sulfur dioxide (SO2) in Rochester Hills, Michigan?

The current sulfur dioxide (SO2) concentration at Rochester Hills, Michigan is 0.851 ppb.

What is the current concentration of ozone (O3) in Rochester Hills, Michigan?

The current ozone (O3) concentration at Rochester Hills, Michigan is 27.489 ppm.

What is the current concentration of nitrogen dioxide (NO2) in Rochester Hills, Michigan?

The current nitrogen dioxide (NO2) concentration at Rochester Hills, Michigan is 4.972 ppb.

Rochester Hills, Michigan live air quality index now

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

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

Last updated: ... (Local time)

Major air pollutants in Rochester Hills, 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 Hills, Michigan

Get Live Pollen Counts

Rochester Hills, Michigan

Scroll To Air Quality Map

Track live Rochester Hills, 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
2025-10-22T05:00:00.000Z	24 \| good	1.675 \| good	6.994 \| good	26.197 \| good	0.771 \| good	4.233 \| good	0.15 \| good
2025-10-22T06:00:00.000Z	23 \| good	2.582 \| good	10.026 \| good	25.361 \| good	0.658 \| good	3.644 \| good	0.145 \| good
2025-10-22T07:00:00.000Z	23 \| good	3.322 \| good	14.965 \| good	24.506 \| good	0.595 \| good	3.455 \| good	0.143 \| good
2025-10-22T08:00:00.000Z	24 \| good	3.643 \| good	16.016 \| good	26.235 \| good	0.532 \| good	3.266 \| good	0.14 \| good
2025-10-22T09:00:00.000Z	27 \| good	4.823 \| good	21.006 \| good	24.121 \| good	0.47 \| good	3.077 \| good	0.138 \| good
2025-10-22T10:00:00.000Z	22 \| good	4.19 \| good	18.017 \| good	20.728 \| good	0.506 \| good	3.251 \| good	0.139 \| good
2025-10-22T11:00:00.000Z	18 \| good	3.071 \| good	12.066 \| good	18.665 \| good	0.543 \| good	3.426 \| good	0.14 \| good
2025-10-22T12:00:00.000Z	19 \| good	2.741 \| good	11.006 \| good	19.7 \| good	0.579 \| good	3.6 \| good	0.141 \| good
2025-10-22T13:00:00.000Z	16 \| good	2.811 \| good	11.982 \| good	14.514 \| good	0.592 \| good	3.493 \| good	0.142 \| good
2025-10-22T14:00:00.000Z	16 \| good	3.421 \| good	15.009 \| good	13.807 \| good	0.605 \| good	3.386 \| good	0.143 \| good
2025-10-22T15:00:00.000Z	22 \| good	4.042 \| good	17.998 \| good	15.258 \| good	0.618 \| good	3.28 \| good	0.144 \| good
2025-10-22T16:00:00.000Z	22 \| good	3.628 \| good	15.999 \| good	16.625 \| good	0.574 \| good	3.054 \| good	0.141 \| good
2025-10-22T17:00:00.000Z	21 \| good	1.975 \| good	8.021 \| good	22.988 \| good	0.531 \| good	2.829 \| good	0.139 \| good
2025-10-22T18:00:00.000Z	24 \| good	1.502 \| good	6.014 \| good	25.68 \| good	0.487 \| good	2.603 \| good	0.137 \| good
2025-10-22T19:00:00.000Z	24 \| good	0.902 \| good	3.98 \| good	26.455 \| good	0.437 \| good	2.749 \| good	0.137 \| good
2025-10-22T20:00:00.000Z	23 \| good	0.691 \| good	2.032 \| good	24.939 \| good	0.387 \| good	2.896 \| good	0.138 \| good
2025-10-22T21:00:00.000Z	24 \| good	0.282 \| good	1.007 \| good	26.117 \| good	0.337 \| good	3.042 \| good	0.138 \| good
2025-10-22T22:00:00.000Z	26 \| good	0.43 \| good	1.972 \| good	27.856 \| good	0.331 \| good	3.2 \| good	0.14 \| good
2025-10-22T23:00:00.000Z	26 \| good	0.459 \| good	1.98 \| good	28.287 \| good	0.326 \| good	3.358 \| good	0.142 \| good
2025-10-23T00:00:00.000Z	27 \| good	1.231 \| good	5 \| good	28.988 \| good	0.321 \| good	3.515 \| good	0.143 \| good
2025-10-23T01:00:00.000Z	22 \| good	2.072 \| good	8.035 \| good	23.936 \| good	0.314 \| good	3.198 \| good	0.142 \| good
2025-10-23T02:00:00.000Z	21 \| good	2.224 \| good	9.01 \| good	22.73 \| good	0.306 \| good	2.88 \| good	0.141 \| good
2025-10-23T03:00:00.000Z	22 \| good	1.852 \| good	7.983 \| good	24.306 \| good	0.299 \| good	2.562 \| good	0.14 \| good
2025-10-23T04:00:00.000Z	22 \| good	1.35 \| good	5.006 \| good	24.034 \| good	0.275 \| good	2.257 \| good	0.137 \| good
2025-10-23T05:00:00.000Z	23 \| good	1.872 \| good	7.983 \| good	24.721 \| good	0.25 \| good	1.953 \| good	0.134 \| good
2025-10-23T06:00:00.000Z	22 \| good	1.392 \| good	5.031 \| good	24.137 \| good	0.225 \| good	1.648 \| good	0.132 \| good
2025-10-23T07:00:00.000Z	21 \| good	1.352 \| good	5.026 \| good	23.188 \| good	0.227 \| good	1.534 \| good	0.129 \| good
2025-10-23T08:00:00.000Z	22 \| good	1.911 \| good	7.987 \| good	23.649 \| good	0.229 \| good	1.42 \| good	0.125 \| good
2025-10-23T09:00:00.000Z	23 \| good	2.883 \| good	12.024 \| good	24.644 \| good	0.23 \| good	1.306 \| good	0.122 \| good
2025-10-23T10:00:00.000Z	22 \| good	1.782 \| good	7.019 \| good	23.768 \| good	0.263 \| good	1.75 \| good	0.126 \| good
2025-10-23T11:00:00.000Z	18 \| good	0.792 \| good	3.009 \| good	19.053 \| good	0.296 \| good	2.193 \| good	0.13 \| good
2025-10-23T12:00:00.000Z	18 \| good	0.562 \| good	1.997 \| good	18.519 \| good	0.329 \| good	2.637 \| good	0.133 \| good
2025-10-23T13:00:00.000Z	19 \| good	0.311 \| good	1.006 \| good	19.72 \| good	0.344 \| good	2.488 \| good	0.137 \| good
2025-10-23T14:00:00.000Z	19 \| good	0.243 \| good	0.984 \| good	20.959 \| good	0.359 \| good	2.34 \| good	0.14 \| good
2025-10-23T15:00:00.000Z	21 \| good	0.112 \| good	0.003 \| good	22.608 \| good	0.375 \| good	2.191 \| good	0.143 \| good
2025-10-23T16:00:00.000Z	23 \| good	0.121 \| good	0.003 \| good	24.511 \| good	0.329 \| good	1.972 \| good	0.14 \| good
2025-10-23T17:00:00.000Z	23 \| good	0.451 \| good	1.987 \| good	24.994 \| good	0.284 \| good	1.753 \| good	0.137 \| good
2025-10-23T18:00:00.000Z	22 \| good	1.352 \| good	5.026 \| good	24.248 \| good	0.239 \| good	1.534 \| good	0.134 \| good
2025-10-23T19:00:00.000Z	21 \| good	1.602 \| good	6.981 \| good	22.683 \| good	0.256 \| good	1.693 \| good	0.135 \| good
2025-10-23T20:00:00.000Z	21 \| good	1.422 \| good	5.985 \| good	22.534 \| good	0.273 \| good	1.852 \| good	0.137 \| good
2025-10-23T21:00:00.000Z	19 \| good	0.961 \| good	3.987 \| good	20.81 \| good	0.291 \| good	2.01 \| good	0.139 \| good
2025-10-23T22:00:00.000Z	19 \| good	0.812 \| good	3.01 \| good	20.659 \| good	0.322 \| good	2.883 \| good	0.144 \| good
2025-10-23T23:00:00.000Z	18 \| good	0.742 \| good	3.006 \| good	19.183 \| good	0.353 \| good	3.756 \| good	0.15 \| good
2025-10-24T00:00:00.000Z	22 \| good	1.625 \| good	1.64 \| good	23.862 \| good	0.389 \| good	4.658 \| good	0.156 \| good
2025-10-24T01:00:00.000Z	15 \| good	0.952 \| good	3.99 \| good	15.545 \| good	0.401 \| good	4.57 \| good	0.154 \| good
2025-10-24T02:00:00.000Z	14 \| good	0.792 \| good	3.01 \| good	14.787 \| good	0.417 \| good	4.511 \| good	0.153 \| good
2025-10-24T03:00:00.000Z	14 \| good	1.153 \| good	4.987 \| good	14.975 \| good	0.433 \| good	4.452 \| good	0.151 \| good
2025-10-24T04:00:00.000Z	16 \| good	1.262 \| good	5.003 \| good	16.779 \| good	0.428 \| good	4.285 \| good	0.149 \| good

Rochester Hills

Get reliable air quality data to drive your business

Rochester Hills, Michigan air quality map: Track AQI near you

0.15ppm

How accurate is Michigan, USA air quality data?

Air quality data and pollutant measurements for Michigan, USA adhere to strict US EPA standards. The data is collected from multiple reliable sources, including satellites and ground-based monitoring stations. This data is further analyzed and enhanced using machine learning and advanced algorithms that factor in elements such as traffic and population density, ensuring accurate and reliable results.

Source: Ambee Data Sources

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Frequently asked questions

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

The air quality for Rochester Hills, Michigan is updated every hour.

When was the worst air quality at Rochester Hills, Michigan in the last 24 hrs?

The worst air quality in Rochester Hills, Michigan in the last 24 hours was observed at 04:00:00 on 2025-10-21.

When was the best air quality at Rochester Hills, Michigan in the last 24 hrs?

In the last 24 hrs, the best air quality in Rochester Hills, Michigan was observed at 10:00:00 on 2025-10-21.

What is the current air quality in Rochester Hills, Michigan?

The current air quality in Rochester Hills, Michigan is 25, categorized as Good based on real-time data.

What pollutant is the most common in Rochester Hills, Michigan?

The most common pollutant in Rochester Hills, Michigan is O3.

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

If the air quality in Rochester Hills, Michigan is poor, consider staying indoors and wearing a mask to protect yourself.

What is the current concentration of PM_2.5 in Rochester Hills, Michigan?

The current PM_2.5 concentration at Rochester Hills, Michigan is 4.055 μg/m³.

What is the current concentration of PM₁₀ in Rochester Hills, Michigan?

The current PM₁₀ concentration at Rochester Hills, Michigan is 18.008 μg/m³.

What is the current concentration of carbon monoxide (CO) in Rochester Hills, Michigan?

The current carbon monoxide (CO) concentration at Rochester Hills, Michigan is 0.151 ppm.

What is the current concentration of sulfur dioxide (SO₂) in Rochester Hills, Michigan?

The current sulfur dioxide (SO₂) concentration at Rochester Hills, Michigan is 0.851 ppb.

What is the current concentration of ozone (O₃) in Rochester Hills, Michigan?

The current ozone (O₃) concentration at Rochester Hills, Michigan is 27.489 ppm.

What is the current concentration of nitrogen dioxide (NO₂) in Rochester Hills, Michigan?

The current nitrogen dioxide (NO₂) concentration at Rochester Hills, Michigan is 4.972 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
2025-10-22T05:00:00.000Z	24 \| good	1.675 \| good	6.994 \| good	26.197 \| good	0.771 \| good	4.233 \| good	0.15 \| good
2025-10-22T06:00:00.000Z	23 \| good	2.582 \| good	10.026 \| good	25.361 \| good	0.658 \| good	3.644 \| good	0.145 \| good
2025-10-22T07:00:00.000Z	23 \| good	3.322 \| good	14.965 \| good	24.506 \| good	0.595 \| good	3.455 \| good	0.143 \| good
2025-10-22T08:00:00.000Z	24 \| good	3.643 \| good	16.016 \| good	26.235 \| good	0.532 \| good	3.266 \| good	0.14 \| good
2025-10-22T09:00:00.000Z	27 \| good	4.823 \| good	21.006 \| good	24.121 \| good	0.47 \| good	3.077 \| good	0.138 \| good
2025-10-22T10:00:00.000Z	22 \| good	4.19 \| good	18.017 \| good	20.728 \| good	0.506 \| good	3.251 \| good	0.139 \| good
2025-10-22T11:00:00.000Z	18 \| good	3.071 \| good	12.066 \| good	18.665 \| good	0.543 \| good	3.426 \| good	0.14 \| good
2025-10-22T12:00:00.000Z	19 \| good	2.741 \| good	11.006 \| good	19.7 \| good	0.579 \| good	3.6 \| good	0.141 \| good
2025-10-22T13:00:00.000Z	16 \| good	2.811 \| good	11.982 \| good	14.514 \| good	0.592 \| good	3.493 \| good	0.142 \| good
2025-10-22T14:00:00.000Z	16 \| good	3.421 \| good	15.009 \| good	13.807 \| good	0.605 \| good	3.386 \| good	0.143 \| good
2025-10-22T15:00:00.000Z	22 \| good	4.042 \| good	17.998 \| good	15.258 \| good	0.618 \| good	3.28 \| good	0.144 \| good
2025-10-22T16:00:00.000Z	22 \| good	3.628 \| good	15.999 \| good	16.625 \| good	0.574 \| good	3.054 \| good	0.141 \| good
2025-10-22T17:00:00.000Z	21 \| good	1.975 \| good	8.021 \| good	22.988 \| good	0.531 \| good	2.829 \| good	0.139 \| good
2025-10-22T18:00:00.000Z	24 \| good	1.502 \| good	6.014 \| good	25.68 \| good	0.487 \| good	2.603 \| good	0.137 \| good
2025-10-22T19:00:00.000Z	24 \| good	0.902 \| good	3.98 \| good	26.455 \| good	0.437 \| good	2.749 \| good	0.137 \| good
2025-10-22T20:00:00.000Z	23 \| good	0.691 \| good	2.032 \| good	24.939 \| good	0.387 \| good	2.896 \| good	0.138 \| good
2025-10-22T21:00:00.000Z	24 \| good	0.282 \| good	1.007 \| good	26.117 \| good	0.337 \| good	3.042 \| good	0.138 \| good
2025-10-22T22:00:00.000Z	26 \| good	0.43 \| good	1.972 \| good	27.856 \| good	0.331 \| good	3.2 \| good	0.14 \| good
2025-10-22T23:00:00.000Z	26 \| good	0.459 \| good	1.98 \| good	28.287 \| good	0.326 \| good	3.358 \| good	0.142 \| good
2025-10-23T00:00:00.000Z	27 \| good	1.231 \| good	5 \| good	28.988 \| good	0.321 \| good	3.515 \| good	0.143 \| good
2025-10-23T01:00:00.000Z	22 \| good	2.072 \| good	8.035 \| good	23.936 \| good	0.314 \| good	3.198 \| good	0.142 \| good
2025-10-23T02:00:00.000Z	21 \| good	2.224 \| good	9.01 \| good	22.73 \| good	0.306 \| good	2.88 \| good	0.141 \| good
2025-10-23T03:00:00.000Z	22 \| good	1.852 \| good	7.983 \| good	24.306 \| good	0.299 \| good	2.562 \| good	0.14 \| good
2025-10-23T04:00:00.000Z	22 \| good	1.35 \| good	5.006 \| good	24.034 \| good	0.275 \| good	2.257 \| good	0.137 \| good
2025-10-23T05:00:00.000Z	23 \| good	1.872 \| good	7.983 \| good	24.721 \| good	0.25 \| good	1.953 \| good	0.134 \| good
2025-10-23T06:00:00.000Z	22 \| good	1.392 \| good	5.031 \| good	24.137 \| good	0.225 \| good	1.648 \| good	0.132 \| good
2025-10-23T07:00:00.000Z	21 \| good	1.352 \| good	5.026 \| good	23.188 \| good	0.227 \| good	1.534 \| good	0.129 \| good
2025-10-23T08:00:00.000Z	22 \| good	1.911 \| good	7.987 \| good	23.649 \| good	0.229 \| good	1.42 \| good	0.125 \| good
2025-10-23T09:00:00.000Z	23 \| good	2.883 \| good	12.024 \| good	24.644 \| good	0.23 \| good	1.306 \| good	0.122 \| good
2025-10-23T10:00:00.000Z	22 \| good	1.782 \| good	7.019 \| good	23.768 \| good	0.263 \| good	1.75 \| good	0.126 \| good
2025-10-23T11:00:00.000Z	18 \| good	0.792 \| good	3.009 \| good	19.053 \| good	0.296 \| good	2.193 \| good	0.13 \| good
2025-10-23T12:00:00.000Z	18 \| good	0.562 \| good	1.997 \| good	18.519 \| good	0.329 \| good	2.637 \| good	0.133 \| good
2025-10-23T13:00:00.000Z	19 \| good	0.311 \| good	1.006 \| good	19.72 \| good	0.344 \| good	2.488 \| good	0.137 \| good
2025-10-23T14:00:00.000Z	19 \| good	0.243 \| good	0.984 \| good	20.959 \| good	0.359 \| good	2.34 \| good	0.14 \| good
2025-10-23T15:00:00.000Z	21 \| good	0.112 \| good	0.003 \| good	22.608 \| good	0.375 \| good	2.191 \| good	0.143 \| good
2025-10-23T16:00:00.000Z	23 \| good	0.121 \| good	0.003 \| good	24.511 \| good	0.329 \| good	1.972 \| good	0.14 \| good
2025-10-23T17:00:00.000Z	23 \| good	0.451 \| good	1.987 \| good	24.994 \| good	0.284 \| good	1.753 \| good	0.137 \| good
2025-10-23T18:00:00.000Z	22 \| good	1.352 \| good	5.026 \| good	24.248 \| good	0.239 \| good	1.534 \| good	0.134 \| good
2025-10-23T19:00:00.000Z	21 \| good	1.602 \| good	6.981 \| good	22.683 \| good	0.256 \| good	1.693 \| good	0.135 \| good
2025-10-23T20:00:00.000Z	21 \| good	1.422 \| good	5.985 \| good	22.534 \| good	0.273 \| good	1.852 \| good	0.137 \| good
2025-10-23T21:00:00.000Z	19 \| good	0.961 \| good	3.987 \| good	20.81 \| good	0.291 \| good	2.01 \| good	0.139 \| good
2025-10-23T22:00:00.000Z	19 \| good	0.812 \| good	3.01 \| good	20.659 \| good	0.322 \| good	2.883 \| good	0.144 \| good
2025-10-23T23:00:00.000Z	18 \| good	0.742 \| good	3.006 \| good	19.183 \| good	0.353 \| good	3.756 \| good	0.15 \| good
2025-10-24T00:00:00.000Z	22 \| good	1.625 \| good	1.64 \| good	23.862 \| good	0.389 \| good	4.658 \| good	0.156 \| good
2025-10-24T01:00:00.000Z	15 \| good	0.952 \| good	3.99 \| good	15.545 \| good	0.401 \| good	4.57 \| good	0.154 \| good
2025-10-24T02:00:00.000Z	14 \| good	0.792 \| good	3.01 \| good	14.787 \| good	0.417 \| good	4.511 \| good	0.153 \| good
2025-10-24T03:00:00.000Z	14 \| good	1.153 \| good	4.987 \| good	14.975 \| good	0.433 \| good	4.452 \| good	0.151 \| good
2025-10-24T04:00:00.000Z	16 \| good	1.262 \| good	5.003 \| good	16.779 \| good	0.428 \| good	4.285 \| good	0.149 \| good

Rochester Hills, Michigan live air quality index now

Major air pollutants in Rochester Hills, Michigan

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

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Rochester Hills, Michigan air quality map: Track AQI near you

Air quality in nearby cities

Rochester, Michigan

Troy City, Michigan

Auburn Hills, Michigan

Shelby Charter Township, Michigan

Oakland Charter Township, Michigan

Pontiac, Michigan

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Frequently asked questions

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

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When was the best air quality at Rochester Hills, Michigan in the last 24 hrs?

What is the current air quality in Rochester Hills, Michigan?

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What is the current concentration of PM2.5 in Rochester Hills, Michigan?

What is the current concentration of PM10 in Rochester Hills, Michigan?

What is the current concentration of carbon monoxide (CO) in Rochester Hills, Michigan?

What is the current concentration of sulfur dioxide (SO2) in Rochester Hills, Michigan?

What is the current concentration of ozone (O3) in Rochester Hills, Michigan?

What is the current concentration of nitrogen dioxide (NO2) in Rochester Hills, Michigan?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What is the current concentration of PM_2.5 in Rochester Hills, Michigan?

What is the current concentration of PM₁₀ in Rochester Hills, Michigan?

What is the current concentration of sulfur dioxide (SO₂) in Rochester Hills, Michigan?

What is the current concentration of ozone (O₃) in Rochester Hills, Michigan?

What is the current concentration of nitrogen dioxide (NO₂) in Rochester Hills, Michigan?