What is the sulfur dioxide (SO2) level in Harper Woods, Michigan at the moment?

Currently, Harper Woods, Michigan has a sulfur dioxide (SO2) concentration of 0.744 ppb.

What is the ozone (O3) level in Harper Woods, Michigan at the moment?

The current ozone (O3) level in Harper Woods, Michigan at the moment is 19.486 ppm.

What is the nitrogen dioxide (NO2) level in Harper Woods, Michigan at the moment?

Nitrogen dioxide (NO2) level in Harper Woods, Michigan at the moment is 4.332 ppb.

Live air quality index in Harper Woods, Michigan today

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

Stay updated with real-time air quality in Harper Woods, 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

Harper Woods, Michigan

Last updated: ... (Local time)

Major air pollutants in Harper Woods, Michigan

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

3.18 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

13.25 μg/m³

155

255

425

605+

Ozone (O₃)

19.49 ppb

201

201+

Sulfur Dioxide (SO₂)

0.74 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

4.33 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.12 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Harper Woods, Michigan

Get Live Pollen Counts

Harper Woods, Michigan

Scroll To Air Quality Map

Track live Harper Woods, Michigan air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-20T06:00:00.000Z	25 \| good	3.04 \| good	12.043 \| good	26.581 \| good	1.245 \| good	5.335 \| good	0.121 \| good
2025-10-20T07:00:00.000Z	22 \| good	3.641 \| good	13.632 \| good	22.645 \| good	1.249 \| good	3.834 \| good	0.115 \| good
2025-10-20T08:00:00.000Z	22 \| good	3.692 \| good	13.916 \| good	21.892 \| good	0.911 \| good	4.482 \| good	0.104 \| good
2025-10-20T09:00:00.000Z	18 \| good	3.132 \| good	13.745 \| good	18.744 \| good	1.229 \| good	6.265 \| good	0.115 \| good
2025-10-20T10:00:00.000Z	22 \| good	4 \| good	13.316 \| good	17.628 \| good	1.25 \| good	9.501 \| good	0.168 \| good
2025-10-20T11:00:00.000Z	27 \| good	4.604 \| good	13.223 \| good	16.778 \| good	1.054 \| good	10.178 \| good	0.149 \| good
2025-10-20T12:00:00.000Z	22 \| good	3.83 \| good	16.265 \| good	12.455 \| good	1.294 \| good	13.188 \| good	0.227 \| good
2025-10-20T13:00:00.000Z	22 \| good	3.625 \| good	13.94 \| good	12.181 \| good	1.354 \| good	12.896 \| good	0.275 \| good
2025-10-20T14:00:00.000Z	22 \| good	3.516 \| good	16.442 \| good	15.125 \| good	1.357 \| good	11.293 \| good	0.236 \| good
2025-10-20T15:00:00.000Z	22 \| good	3.547 \| good	14.667 \| good	16.926 \| good	0.927 \| good	8.419 \| good	0.236 \| good
2025-10-20T16:00:00.000Z	19 \| good	3.172 \| good	11.586 \| good	20.483 \| good	0.928 \| good	5.383 \| good	0.189 \| good
2025-10-20T17:00:00.000Z	20 \| good	2.735 \| good	10.901 \| good	21.521 \| good	0.958 \| good	3.6 \| good	0.138 \| good
2025-10-20T18:00:00.000Z	25 \| good	2.619 \| good	10.008 \| good	27.361 \| good	0.97 \| good	2.551 \| good	0.133 \| good
2025-10-20T19:00:00.000Z	27 \| good	2.985 \| good	10.226 \| good	28.937 \| good	0.961 \| good	2.351 \| good	0.128 \| good
2025-10-20T20:00:00.000Z	30 \| good	2.908 \| good	10.787 \| good	32.406 \| good	1.148 \| good	2.677 \| good	0.132 \| good
2025-10-20T21:00:00.000Z	30 \| good	3.172 \| good	13.188 \| good	31.683 \| good	1.766 \| good	3.799 \| good	0.126 \| good
2025-10-20T22:00:00.000Z	30 \| good	2.553 \| good	10.322 \| good	32.007 \| good	3.043 \| good	5.556 \| good	0.16 \| good
2025-10-20T23:00:00.000Z	27 \| good	2.863 \| good	11.29 \| good	29.455 \| good	0.876 \| good	4.532 \| good	0.148 \| good
2025-10-21T00:00:00.000Z	26 \| good	4.35 \| good	13.692 \| good	28.2 \| good	0.958 \| good	7.712 \| good	0.207 \| good
2025-10-21T01:00:00.000Z	27 \| good	5.087 \| good	19.117 \| good	19.846 \| good	1.132 \| good	11.599 \| good	0.258 \| good
2025-10-21T02:00:00.000Z	34 \| good	5.589 \| good	37.249 \| good	25.309 \| good	1.019 \| good	9.96 \| good	0.255 \| good
2025-10-21T03:00:00.000Z	49 \| good	9.2 \| good	40.751 \| good	27.725 \| good	0.684 \| good	7.098 \| good	0.172 \| good
2025-10-21T04:00:00.000Z	33 \| good	5.854 \| good	23.536 \| good	21.983 \| good	1.061 \| good	9.749 \| good	0.189 \| good
2025-10-21T05:00:00.000Z	22 \| good	4.138 \| good	16.548 \| good	20.535 \| good	2.782 \| good	7.096 \| good	0.139 \| good
2025-10-21T06:00:00.000Z	21 \| good	3.186 \| good	17.614 \| good	22.663 \| good	2.768 \| good	6.441 \| good	0.14 \| good
2025-10-21T07:00:00.000Z	22 \| good	3.537 \| good	20.685 \| good	22.919 \| good	7.827 \| good	7.018 \| good	0.134 \| good
2025-10-21T08:00:00.000Z	25 \| good	3.099 \| good	12.166 \| good	27.49 \| good	3.542 \| good	3.765 \| good	0.11 \| good
2025-10-21T09:00:00.000Z	24 \| good	3.362 \| good	13.582 \| good	25.926 \| good	4.312 \| good	3.833 \| good	0.126 \| good
2025-10-21T10:00:00.000Z	22 \| good	3.035 \| good	12.126 \| good	23.997 \| good	1.455 \| good	4.9 \| good	0.146 \| good
2025-10-21T11:00:00.000Z	27 \| good	4.717 \| good	21.012 \| good	20.12 \| good	1.338 \| good	8.172 \| good	0.156 \| good
2025-10-21T12:00:00.000Z	22 \| good	4.479 \| good	17.933 \| good	18.736 \| good	1.337 \| good	9.456 \| good	0.213 \| good
2025-10-21T13:00:00.000Z	27 \| good	4.748 \| good	21.787 \| good	20.076 \| good	1.5 \| good	10.102 \| good	0.187 \| good
2025-10-21T14:00:00.000Z	33 \| good	5.825 \| good	28.48 \| good	20.186 \| good	1.583 \| good	9.849 \| good	0.187 \| good
2025-10-21T15:00:00.000Z	22 \| good	3.723 \| good	15.986 \| good	21.711 \| good	1.002 \| good	7.348 \| good	0.196 \| good
2025-10-21T16:00:00.000Z	23 \| good	4.367 \| good	18.959 \| good	25.139 \| good	2.817 \| good	6.502 \| good	0.124 \| good
2025-10-21T17:00:00.000Z	24 \| good	3.898 \| good	16.215 \| good	26.458 \| good	1.364 \| good	3.084 \| good	0.122 \| good
2025-10-21T18:00:00.000Z	30 \| good	3.722 \| good	18.628 \| good	31.562 \| good	1.138 \| good	2.715 \| good	0.109 \| good
2025-10-21T19:00:00.000Z	31 \| good	3.547 \| good	12.671 \| good	32.884 \| good	1.779 \| good	3.615 \| good	0.109 \| good
2025-10-21T20:00:00.000Z	31 \| good	4.058 \| good	20.253 \| good	32.814 \| good	2.516 \| good	3.9 \| good	0.15 \| good
2025-10-21T21:00:00.000Z	29 \| good	3.865 \| good	17.358 \| good	31.117 \| good	0.929 \| good	3.389 \| good	0.165 \| good
2025-10-21T22:00:00.000Z	31 \| good	2.188 \| good	8.841 \| good	32.729 \| good	0.909 \| good	5.347 \| good	0.165 \| good
2025-10-21T23:00:00.000Z	28 \| good	2.759 \| good	9.431 \| good	29.91 \| good	1.359 \| good	7.162 \| good	0.188 \| good
2025-10-22T00:00:00.000Z	27 \| good	2.67 \| good	11.299 \| good	28.793 \| good	1.313 \| good	5.978 \| good	0.16 \| good
2025-10-22T01:00:00.000Z	22 \| good	2.819 \| good	11.358 \| good	23.774 \| good	1.334 \| good	9.945 \| good	0.193 \| good
2025-10-22T02:00:00.000Z	23 \| good	2.797 \| good	10.798 \| good	24.663 \| good	1.313 \| good	8.343 \| good	0.194 \| good
2025-10-22T03:00:00.000Z	24 \| good	3.66 \| good	16 \| good	26.438 \| good	0.94 \| good	5.59 \| good	0.152 \| good
2025-10-22T04:00:00.000Z	19 \| good	2.817 \| good	10.238 \| good	20.39 \| good	1.118 \| good	6.549 \| good	0.138 \| good
2025-10-22T05:00:00.000Z	19 \| good	2.746 \| good	10.903 \| good	20.173 \| good	0.894 \| good	4.409 \| good	0.121 \| good
2025-10-22T05:00:00.000Z	18 \| good	3.177 \| good	13.249 \| good	19.486 \| good	0.744 \| good	4.332 \| good	0.123 \| good
2025-10-22T06:00:00.000Z	21 \| good	3.274 \| good	14.193 \| good	23.186 \| good	0.768 \| good	4.151 \| good	0.147 \| good
2025-10-22T07:00:00.000Z	21 \| good	2.843 \| good	11.914 \| good	22.583 \| good	0.669 \| good	3.662 \| good	0.142 \| good
2025-10-22T08:00:00.000Z	21 \| good	3.341 \| good	14.845 \| good	22.944 \| good	0.569 \| good	3.173 \| good	0.138 \| good
2025-10-22T09:00:00.000Z	22 \| good	3.86 \| good	16.866 \| good	23.092 \| good	0.47 \| good	2.685 \| good	0.133 \| good
2025-10-22T10:00:00.000Z	18 \| good	3.305 \| good	14.772 \| good	18.7 \| good	0.501 \| good	3.011 \| good	0.134 \| good
2025-10-22T11:00:00.000Z	19 \| good	1.752 \| good	7.049 \| good	20.34 \| good	0.532 \| good	3.338 \| good	0.135 \| good
2025-10-22T12:00:00.000Z	18 \| good	2.358 \| good	9.804 \| good	19.036 \| good	0.563 \| good	3.664 \| good	0.136 \| good
2025-10-22T13:00:00.000Z	16 \| good	2.556 \| good	10.161 \| good	13.966 \| good	0.604 \| good	4.094 \| good	0.141 \| good
2025-10-22T14:00:00.000Z	16 \| good	3.022 \| good	12.321 \| good	14.502 \| good	0.645 \| good	4.524 \| good	0.145 \| good
2025-10-22T15:00:00.000Z	16 \| good	3.283 \| good	14.182 \| good	16.52 \| good	0.686 \| good	4.953 \| good	0.15 \| good
2025-10-22T16:00:00.000Z	17 \| good	3.215 \| good	13.919 \| good	18.05 \| good	0.662 \| good	4.341 \| good	0.146 \| good
2025-10-22T17:00:00.000Z	19 \| good	3.413 \| good	14.759 \| good	20.767 \| good	0.637 \| good	3.728 \| good	0.143 \| good
2025-10-22T18:00:00.000Z	22 \| good	3.75 \| good	16.154 \| good	24.237 \| good	0.613 \| good	3.116 \| good	0.139 \| good
2025-10-22T19:00:00.000Z	20 \| good	2.376 \| good	9.888 \| good	22.032 \| good	0.595 \| good	3.362 \| good	0.142 \| good
2025-10-22T20:00:00.000Z	19 \| good	2.065 \| good	8.092 \| good	19.894 \| good	0.577 \| good	3.609 \| good	0.144 \| good
2025-10-22T21:00:00.000Z	20 \| good	1.647 \| good	6.824 \| good	22.358 \| good	0.559 \| good	3.855 \| good	0.146 \| good
2025-10-22T22:00:00.000Z	25 \| good	0.639 \| good	2.09 \| good	26.972 \| good	0.583 \| good	4.858 \| good	0.154 \| good
2025-10-22T23:00:00.000Z	29 \| good	0.454 \| good	2 \| good	30.978 \| good	0.608 \| good	5.86 \| good	0.162 \| good
2025-10-23T00:00:00.000Z	29 \| good	1.235 \| good	5.021 \| good	30.52 \| good	0.632 \| good	6.862 \| good	0.17 \| good
2025-10-23T01:00:00.000Z	21 \| good	1.624 \| good	6.862 \| good	23.05 \| good	0.627 \| good	6.303 \| good	0.165 \| good
2025-10-23T02:00:00.000Z	21 \| good	2.178 \| good	8.955 \| good	23.255 \| good	0.622 \| good	5.745 \| good	0.16 \| good
2025-10-23T03:00:00.000Z	22 \| good	2.063 \| good	8.134 \| good	23.889 \| good	0.617 \| good	5.186 \| good	0.155 \| good
2025-10-23T04:00:00.000Z	26 \| good	1.648 \| good	6.914 \| good	27.605 \| good	0.605 \| good	4.725 \| good	0.152 \| good
2025-10-23T05:00:00.000Z	25 \| good	1.391 \| good	5.221 \| good	26.828 \| good	0.592 \| good	4.263 \| good	0.15 \| good
2025-10-23T06:00:00.000Z	23 \| good	0.527 \| good	2.021 \| good	25.413 \| good	0.58 \| good	3.802 \| good	0.147 \| good
2025-10-23T07:00:00.000Z	22 \| good	0.188 \| good	0.193 \| good	24.131 \| good	0.542 \| good	3.314 \| good	0.145 \| good
2025-10-23T08:00:00.000Z	24 \| good	1.457 \| good	5.935 \| good	26.449 \| good	0.504 \| good	2.825 \| good	0.142 \| good
2025-10-23T09:00:00.000Z	26 \| good	1.975 \| good	8.064 \| good	27.789 \| good	0.466 \| good	2.337 \| good	0.14 \| good
2025-10-23T10:00:00.000Z	22 \| good	1.488 \| good	5.904 \| good	23.871 \| good	0.456 \| good	2.43 \| good	0.14 \| good
2025-10-23T11:00:00.000Z	18 \| good	0.112 \| good	0.05 \| good	19.281 \| good	0.447 \| good	2.523 \| good	0.14 \| good
2025-10-23T12:00:00.000Z	16 \| good	0.237 \| good	0.944 \| good	16.547 \| good	0.438 \| good	2.616 \| good	0.14 \| good
2025-10-23T13:00:00.000Z	16 \| good	0.485 \| good	2.021 \| good	16.561 \| good	0.432 \| good	2.509 \| good	0.139 \| good
2025-10-23T14:00:00.000Z	19 \| good	0.427 \| good	1.978 \| good	20.807 \| good	0.426 \| good	2.403 \| good	0.139 \| good
2025-10-23T15:00:00.000Z	20 \| good	0.267 \| good	1 \| good	22.498 \| good	0.42 \| good	2.296 \| good	0.138 \| good
2025-10-23T16:00:00.000Z	24 \| good	0.144 \| good	0.021 \| good	26.468 \| good	0.42 \| good	2.095 \| good	0.138 \| good
2025-10-23T17:00:00.000Z	25 \| good	0.217 \| good	0.978 \| good	27.112 \| good	0.42 \| good	1.893 \| good	0.138 \| good
2025-10-23T18:00:00.000Z	24 \| good	0.466 \| good	2 \| good	25.894 \| good	0.421 \| good	1.691 \| good	0.138 \| good
2025-10-23T19:00:00.000Z	22 \| good	1.706 \| good	7.042 \| good	24.289 \| good	0.406 \| good	1.956 \| good	0.14 \| good
2025-10-23T20:00:00.000Z	22 \| good	2.159 \| good	8.983 \| good	23.917 \| good	0.39 \| good	2.221 \| good	0.142 \| good
2025-10-23T21:00:00.000Z	24 \| good	1.032 \| good	4.042 \| good	25.553 \| good	0.375 \| good	2.486 \| good	0.144 \| good
2025-10-23T22:00:00.000Z	20 \| good	0.691 \| good	2.744 \| good	22.253 \| good	0.452 \| good	4.08 \| good	0.156 \| good
2025-10-23T23:00:00.000Z	19 \| good	1.308 \| good	5.092 \| good	20.111 \| good	0.53 \| good	5.674 \| good	0.168 \| good
2025-10-24T00:00:00.000Z	21 \| good	2.118 \| good	8.866 \| good	23.442 \| good	0.607 \| good	7.267 \| good	0.18 \| good
2025-10-24T01:00:00.000Z	19 \| good	2.396 \| good	9.824 \| good	20.059 \| good	0.64 \| good	7.308 \| good	0.179 \| good
2025-10-24T02:00:00.000Z	19 \| good	2.389 \| good	9.759 \| good	19.659 \| good	0.674 \| good	7.349 \| good	0.177 \| good
2025-10-24T03:00:00.000Z	18 \| good	2.095 \| good	8.839 \| good	19.488 \| good	0.707 \| good	7.389 \| good	0.176 \| good
2025-10-24T04:00:00.000Z	17 \| good	1.512 \| good	6.087 \| good	18.428 \| good	0.693 \| good	6.91 \| good	0.172 \| good
2025-10-24T05:00:00.000Z	16 \| good	2.28 \| good	9.176 \| good	17.372 \| good	0.678 \| good	6.431 \| good	0.168 \| good

Harper Woods

Get reliable air quality data to drive your business

Harper Woods, Michigan air quality map: Stay updated on AQI near you

0.15ppm

How accurate is Michigan, USA air quality data?

Air quality and pollutant data for Michigan, USA are sourced from ground-based monitors and satellites, adhering to US EPA standards. Machine learning and advanced algorithms enhance the data by incorporating local variables like traffic and population density, ensuring high accuracy and dependability.

Source: Ambee Data Sources

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Frequently asked questions

How often is air quality information updated for Harper Woods, Michigan?

The air quality information for Harper Woods, Michigan is updated every hour for accuracy.

What time in the last 24 hours was the air quality in Harper Woods, Michigan at its worst?

In the past 24 hours, the air quality in Harper Woods, Michigan was at its worst at 02:00:00 on 2025-10-21.

When did Harper Woods, Michigan experience the best air quality in the last 24 hours?

In the last 24 hours, the best air quality in Harper Woods, Michigan was observed at 04:00:00 on 2025-10-22.

What is the AQI in Harper Woods, Michigan right now?

As of now, the AQI in Harper Woods, Michigan is 18, indicating Good conditions.

What is the most common type of pollution in Harper Woods, Michigan?

Harper Woods, Michigan air has the highest levels of O3.

What should I do in case of poor air quality in Harper Woods, Michigan?

Poor air quality in Harper Woods, Michigan means it's advisable to stay indoors and wear a mask for your protection.

What is the PM_2.5 level in Harper Woods, Michigan at the moment?

PM_2.5 levels in Harper Woods, Michigan are currently 3.177 μg/m³.

What is the PM₁₀ level in Harper Woods, Michigan at the moment?

The PM₁₀ concentration in Harper Woods, Michigan is 13.249 μg/m³ at the moment.

What is the carbon monoxide (CO) level in Harper Woods, Michigan at the moment?

The current carbon monoxide (CO) concentration in Harper Woods, Michigan is 0.123 ppm.

What is the sulfur dioxide (SO₂) level in Harper Woods, Michigan at the moment?

Currently, Harper Woods, Michigan has a sulfur dioxide (SO₂) concentration of 0.744 ppb.

What is the ozone (O₃) level in Harper Woods, Michigan at the moment?

The current ozone (O₃) level in Harper Woods, Michigan at the moment is 19.486 ppm.

What is the nitrogen dioxide (NO₂) level in Harper Woods, Michigan at the moment?

Nitrogen dioxide (NO₂) level in Harper Woods, Michigan at the moment is 4.332 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-20T06:00:00.000Z	25 \| good	3.04 \| good	12.043 \| good	26.581 \| good	1.245 \| good	5.335 \| good	0.121 \| good
2025-10-20T07:00:00.000Z	22 \| good	3.641 \| good	13.632 \| good	22.645 \| good	1.249 \| good	3.834 \| good	0.115 \| good
2025-10-20T08:00:00.000Z	22 \| good	3.692 \| good	13.916 \| good	21.892 \| good	0.911 \| good	4.482 \| good	0.104 \| good
2025-10-20T09:00:00.000Z	18 \| good	3.132 \| good	13.745 \| good	18.744 \| good	1.229 \| good	6.265 \| good	0.115 \| good
2025-10-20T10:00:00.000Z	22 \| good	4 \| good	13.316 \| good	17.628 \| good	1.25 \| good	9.501 \| good	0.168 \| good
2025-10-20T11:00:00.000Z	27 \| good	4.604 \| good	13.223 \| good	16.778 \| good	1.054 \| good	10.178 \| good	0.149 \| good
2025-10-20T12:00:00.000Z	22 \| good	3.83 \| good	16.265 \| good	12.455 \| good	1.294 \| good	13.188 \| good	0.227 \| good
2025-10-20T13:00:00.000Z	22 \| good	3.625 \| good	13.94 \| good	12.181 \| good	1.354 \| good	12.896 \| good	0.275 \| good
2025-10-20T14:00:00.000Z	22 \| good	3.516 \| good	16.442 \| good	15.125 \| good	1.357 \| good	11.293 \| good	0.236 \| good
2025-10-20T15:00:00.000Z	22 \| good	3.547 \| good	14.667 \| good	16.926 \| good	0.927 \| good	8.419 \| good	0.236 \| good
2025-10-20T16:00:00.000Z	19 \| good	3.172 \| good	11.586 \| good	20.483 \| good	0.928 \| good	5.383 \| good	0.189 \| good
2025-10-20T17:00:00.000Z	20 \| good	2.735 \| good	10.901 \| good	21.521 \| good	0.958 \| good	3.6 \| good	0.138 \| good
2025-10-20T18:00:00.000Z	25 \| good	2.619 \| good	10.008 \| good	27.361 \| good	0.97 \| good	2.551 \| good	0.133 \| good
2025-10-20T19:00:00.000Z	27 \| good	2.985 \| good	10.226 \| good	28.937 \| good	0.961 \| good	2.351 \| good	0.128 \| good
2025-10-20T20:00:00.000Z	30 \| good	2.908 \| good	10.787 \| good	32.406 \| good	1.148 \| good	2.677 \| good	0.132 \| good
2025-10-20T21:00:00.000Z	30 \| good	3.172 \| good	13.188 \| good	31.683 \| good	1.766 \| good	3.799 \| good	0.126 \| good
2025-10-20T22:00:00.000Z	30 \| good	2.553 \| good	10.322 \| good	32.007 \| good	3.043 \| good	5.556 \| good	0.16 \| good
2025-10-20T23:00:00.000Z	27 \| good	2.863 \| good	11.29 \| good	29.455 \| good	0.876 \| good	4.532 \| good	0.148 \| good
2025-10-21T00:00:00.000Z	26 \| good	4.35 \| good	13.692 \| good	28.2 \| good	0.958 \| good	7.712 \| good	0.207 \| good
2025-10-21T01:00:00.000Z	27 \| good	5.087 \| good	19.117 \| good	19.846 \| good	1.132 \| good	11.599 \| good	0.258 \| good
2025-10-21T02:00:00.000Z	34 \| good	5.589 \| good	37.249 \| good	25.309 \| good	1.019 \| good	9.96 \| good	0.255 \| good
2025-10-21T03:00:00.000Z	49 \| good	9.2 \| good	40.751 \| good	27.725 \| good	0.684 \| good	7.098 \| good	0.172 \| good
2025-10-21T04:00:00.000Z	33 \| good	5.854 \| good	23.536 \| good	21.983 \| good	1.061 \| good	9.749 \| good	0.189 \| good
2025-10-21T05:00:00.000Z	22 \| good	4.138 \| good	16.548 \| good	20.535 \| good	2.782 \| good	7.096 \| good	0.139 \| good
2025-10-21T06:00:00.000Z	21 \| good	3.186 \| good	17.614 \| good	22.663 \| good	2.768 \| good	6.441 \| good	0.14 \| good
2025-10-21T07:00:00.000Z	22 \| good	3.537 \| good	20.685 \| good	22.919 \| good	7.827 \| good	7.018 \| good	0.134 \| good
2025-10-21T08:00:00.000Z	25 \| good	3.099 \| good	12.166 \| good	27.49 \| good	3.542 \| good	3.765 \| good	0.11 \| good
2025-10-21T09:00:00.000Z	24 \| good	3.362 \| good	13.582 \| good	25.926 \| good	4.312 \| good	3.833 \| good	0.126 \| good
2025-10-21T10:00:00.000Z	22 \| good	3.035 \| good	12.126 \| good	23.997 \| good	1.455 \| good	4.9 \| good	0.146 \| good
2025-10-21T11:00:00.000Z	27 \| good	4.717 \| good	21.012 \| good	20.12 \| good	1.338 \| good	8.172 \| good	0.156 \| good
2025-10-21T12:00:00.000Z	22 \| good	4.479 \| good	17.933 \| good	18.736 \| good	1.337 \| good	9.456 \| good	0.213 \| good
2025-10-21T13:00:00.000Z	27 \| good	4.748 \| good	21.787 \| good	20.076 \| good	1.5 \| good	10.102 \| good	0.187 \| good
2025-10-21T14:00:00.000Z	33 \| good	5.825 \| good	28.48 \| good	20.186 \| good	1.583 \| good	9.849 \| good	0.187 \| good
2025-10-21T15:00:00.000Z	22 \| good	3.723 \| good	15.986 \| good	21.711 \| good	1.002 \| good	7.348 \| good	0.196 \| good
2025-10-21T16:00:00.000Z	23 \| good	4.367 \| good	18.959 \| good	25.139 \| good	2.817 \| good	6.502 \| good	0.124 \| good
2025-10-21T17:00:00.000Z	24 \| good	3.898 \| good	16.215 \| good	26.458 \| good	1.364 \| good	3.084 \| good	0.122 \| good
2025-10-21T18:00:00.000Z	30 \| good	3.722 \| good	18.628 \| good	31.562 \| good	1.138 \| good	2.715 \| good	0.109 \| good
2025-10-21T19:00:00.000Z	31 \| good	3.547 \| good	12.671 \| good	32.884 \| good	1.779 \| good	3.615 \| good	0.109 \| good
2025-10-21T20:00:00.000Z	31 \| good	4.058 \| good	20.253 \| good	32.814 \| good	2.516 \| good	3.9 \| good	0.15 \| good
2025-10-21T21:00:00.000Z	29 \| good	3.865 \| good	17.358 \| good	31.117 \| good	0.929 \| good	3.389 \| good	0.165 \| good
2025-10-21T22:00:00.000Z	31 \| good	2.188 \| good	8.841 \| good	32.729 \| good	0.909 \| good	5.347 \| good	0.165 \| good
2025-10-21T23:00:00.000Z	28 \| good	2.759 \| good	9.431 \| good	29.91 \| good	1.359 \| good	7.162 \| good	0.188 \| good
2025-10-22T00:00:00.000Z	27 \| good	2.67 \| good	11.299 \| good	28.793 \| good	1.313 \| good	5.978 \| good	0.16 \| good
2025-10-22T01:00:00.000Z	22 \| good	2.819 \| good	11.358 \| good	23.774 \| good	1.334 \| good	9.945 \| good	0.193 \| good
2025-10-22T02:00:00.000Z	23 \| good	2.797 \| good	10.798 \| good	24.663 \| good	1.313 \| good	8.343 \| good	0.194 \| good
2025-10-22T03:00:00.000Z	24 \| good	3.66 \| good	16 \| good	26.438 \| good	0.94 \| good	5.59 \| good	0.152 \| good
2025-10-22T04:00:00.000Z	19 \| good	2.817 \| good	10.238 \| good	20.39 \| good	1.118 \| good	6.549 \| good	0.138 \| good
2025-10-22T05:00:00.000Z	19 \| good	2.746 \| good	10.903 \| good	20.173 \| good	0.894 \| good	4.409 \| good	0.121 \| good
2025-10-22T05:00:00.000Z	18 \| good	3.177 \| good	13.249 \| good	19.486 \| good	0.744 \| good	4.332 \| good	0.123 \| good
2025-10-22T06:00:00.000Z	21 \| good	3.274 \| good	14.193 \| good	23.186 \| good	0.768 \| good	4.151 \| good	0.147 \| good
2025-10-22T07:00:00.000Z	21 \| good	2.843 \| good	11.914 \| good	22.583 \| good	0.669 \| good	3.662 \| good	0.142 \| good
2025-10-22T08:00:00.000Z	21 \| good	3.341 \| good	14.845 \| good	22.944 \| good	0.569 \| good	3.173 \| good	0.138 \| good
2025-10-22T09:00:00.000Z	22 \| good	3.86 \| good	16.866 \| good	23.092 \| good	0.47 \| good	2.685 \| good	0.133 \| good
2025-10-22T10:00:00.000Z	18 \| good	3.305 \| good	14.772 \| good	18.7 \| good	0.501 \| good	3.011 \| good	0.134 \| good
2025-10-22T11:00:00.000Z	19 \| good	1.752 \| good	7.049 \| good	20.34 \| good	0.532 \| good	3.338 \| good	0.135 \| good
2025-10-22T12:00:00.000Z	18 \| good	2.358 \| good	9.804 \| good	19.036 \| good	0.563 \| good	3.664 \| good	0.136 \| good
2025-10-22T13:00:00.000Z	16 \| good	2.556 \| good	10.161 \| good	13.966 \| good	0.604 \| good	4.094 \| good	0.141 \| good
2025-10-22T14:00:00.000Z	16 \| good	3.022 \| good	12.321 \| good	14.502 \| good	0.645 \| good	4.524 \| good	0.145 \| good
2025-10-22T15:00:00.000Z	16 \| good	3.283 \| good	14.182 \| good	16.52 \| good	0.686 \| good	4.953 \| good	0.15 \| good
2025-10-22T16:00:00.000Z	17 \| good	3.215 \| good	13.919 \| good	18.05 \| good	0.662 \| good	4.341 \| good	0.146 \| good
2025-10-22T17:00:00.000Z	19 \| good	3.413 \| good	14.759 \| good	20.767 \| good	0.637 \| good	3.728 \| good	0.143 \| good
2025-10-22T18:00:00.000Z	22 \| good	3.75 \| good	16.154 \| good	24.237 \| good	0.613 \| good	3.116 \| good	0.139 \| good
2025-10-22T19:00:00.000Z	20 \| good	2.376 \| good	9.888 \| good	22.032 \| good	0.595 \| good	3.362 \| good	0.142 \| good
2025-10-22T20:00:00.000Z	19 \| good	2.065 \| good	8.092 \| good	19.894 \| good	0.577 \| good	3.609 \| good	0.144 \| good
2025-10-22T21:00:00.000Z	20 \| good	1.647 \| good	6.824 \| good	22.358 \| good	0.559 \| good	3.855 \| good	0.146 \| good
2025-10-22T22:00:00.000Z	25 \| good	0.639 \| good	2.09 \| good	26.972 \| good	0.583 \| good	4.858 \| good	0.154 \| good
2025-10-22T23:00:00.000Z	29 \| good	0.454 \| good	2 \| good	30.978 \| good	0.608 \| good	5.86 \| good	0.162 \| good
2025-10-23T00:00:00.000Z	29 \| good	1.235 \| good	5.021 \| good	30.52 \| good	0.632 \| good	6.862 \| good	0.17 \| good
2025-10-23T01:00:00.000Z	21 \| good	1.624 \| good	6.862 \| good	23.05 \| good	0.627 \| good	6.303 \| good	0.165 \| good
2025-10-23T02:00:00.000Z	21 \| good	2.178 \| good	8.955 \| good	23.255 \| good	0.622 \| good	5.745 \| good	0.16 \| good
2025-10-23T03:00:00.000Z	22 \| good	2.063 \| good	8.134 \| good	23.889 \| good	0.617 \| good	5.186 \| good	0.155 \| good
2025-10-23T04:00:00.000Z	26 \| good	1.648 \| good	6.914 \| good	27.605 \| good	0.605 \| good	4.725 \| good	0.152 \| good
2025-10-23T05:00:00.000Z	25 \| good	1.391 \| good	5.221 \| good	26.828 \| good	0.592 \| good	4.263 \| good	0.15 \| good
2025-10-23T06:00:00.000Z	23 \| good	0.527 \| good	2.021 \| good	25.413 \| good	0.58 \| good	3.802 \| good	0.147 \| good
2025-10-23T07:00:00.000Z	22 \| good	0.188 \| good	0.193 \| good	24.131 \| good	0.542 \| good	3.314 \| good	0.145 \| good
2025-10-23T08:00:00.000Z	24 \| good	1.457 \| good	5.935 \| good	26.449 \| good	0.504 \| good	2.825 \| good	0.142 \| good
2025-10-23T09:00:00.000Z	26 \| good	1.975 \| good	8.064 \| good	27.789 \| good	0.466 \| good	2.337 \| good	0.14 \| good
2025-10-23T10:00:00.000Z	22 \| good	1.488 \| good	5.904 \| good	23.871 \| good	0.456 \| good	2.43 \| good	0.14 \| good
2025-10-23T11:00:00.000Z	18 \| good	0.112 \| good	0.05 \| good	19.281 \| good	0.447 \| good	2.523 \| good	0.14 \| good
2025-10-23T12:00:00.000Z	16 \| good	0.237 \| good	0.944 \| good	16.547 \| good	0.438 \| good	2.616 \| good	0.14 \| good
2025-10-23T13:00:00.000Z	16 \| good	0.485 \| good	2.021 \| good	16.561 \| good	0.432 \| good	2.509 \| good	0.139 \| good
2025-10-23T14:00:00.000Z	19 \| good	0.427 \| good	1.978 \| good	20.807 \| good	0.426 \| good	2.403 \| good	0.139 \| good
2025-10-23T15:00:00.000Z	20 \| good	0.267 \| good	1 \| good	22.498 \| good	0.42 \| good	2.296 \| good	0.138 \| good
2025-10-23T16:00:00.000Z	24 \| good	0.144 \| good	0.021 \| good	26.468 \| good	0.42 \| good	2.095 \| good	0.138 \| good
2025-10-23T17:00:00.000Z	25 \| good	0.217 \| good	0.978 \| good	27.112 \| good	0.42 \| good	1.893 \| good	0.138 \| good
2025-10-23T18:00:00.000Z	24 \| good	0.466 \| good	2 \| good	25.894 \| good	0.421 \| good	1.691 \| good	0.138 \| good
2025-10-23T19:00:00.000Z	22 \| good	1.706 \| good	7.042 \| good	24.289 \| good	0.406 \| good	1.956 \| good	0.14 \| good
2025-10-23T20:00:00.000Z	22 \| good	2.159 \| good	8.983 \| good	23.917 \| good	0.39 \| good	2.221 \| good	0.142 \| good
2025-10-23T21:00:00.000Z	24 \| good	1.032 \| good	4.042 \| good	25.553 \| good	0.375 \| good	2.486 \| good	0.144 \| good
2025-10-23T22:00:00.000Z	20 \| good	0.691 \| good	2.744 \| good	22.253 \| good	0.452 \| good	4.08 \| good	0.156 \| good
2025-10-23T23:00:00.000Z	19 \| good	1.308 \| good	5.092 \| good	20.111 \| good	0.53 \| good	5.674 \| good	0.168 \| good
2025-10-24T00:00:00.000Z	21 \| good	2.118 \| good	8.866 \| good	23.442 \| good	0.607 \| good	7.267 \| good	0.18 \| good
2025-10-24T01:00:00.000Z	19 \| good	2.396 \| good	9.824 \| good	20.059 \| good	0.64 \| good	7.308 \| good	0.179 \| good
2025-10-24T02:00:00.000Z	19 \| good	2.389 \| good	9.759 \| good	19.659 \| good	0.674 \| good	7.349 \| good	0.177 \| good
2025-10-24T03:00:00.000Z	18 \| good	2.095 \| good	8.839 \| good	19.488 \| good	0.707 \| good	7.389 \| good	0.176 \| good
2025-10-24T04:00:00.000Z	17 \| good	1.512 \| good	6.087 \| good	18.428 \| good	0.693 \| good	6.91 \| good	0.172 \| good
2025-10-24T05:00:00.000Z	16 \| good	2.28 \| good	9.176 \| good	17.372 \| good	0.678 \| good	6.431 \| good	0.168 \| good

Live air quality index in Harper Woods, Michigan today

Major air pollutants in Harper Woods, Michigan

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

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Harper Woods, Michigan air quality map: Stay updated on AQI near you

Air quality in nearby cities

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Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What is the PM_2.5 level in Harper Woods, Michigan at the moment?

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What is the ozone (O₃) level in Harper Woods, Michigan at the moment?

What is the nitrogen dioxide (NO₂) level in Harper Woods, Michigan at the moment?