What is the current concentration of PM10 in Frenchtown, Michigan?

The current PM10 concentration at Frenchtown, Michigan is 8.973 μg/m3.

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

The current sulfur dioxide (SO2) concentration at Frenchtown, Michigan is 1.024 ppb.

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

The current ozone (O3) concentration at Frenchtown, Michigan is 18.895 ppm.

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

The current nitrogen dioxide (NO2) concentration at Frenchtown, Michigan is 8.415 ppb.

Frenchtown, Michigan live air quality index now

Q: What is the current concentration of PM2.5 in Frenchtown, Michigan?

The current PM2.5 concentration at Frenchtown, Michigan is 2.953 μg/m3.

Stay updated with real-time air quality in Frenchtown, 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

Frenchtown, Michigan

Last updated: ... (Local time)

Major air pollutants in Frenchtown, Michigan

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

2.95 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

8.97 μg/m³

155

255

425

605+

Ozone (O₃)

18.89 ppb

201

201+

Sulfur Dioxide (SO₂)

1.02 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

8.41 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.19 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Frenchtown, Michigan

Get Live Pollen Counts

Frenchtown, Michigan

Scroll To Air Quality Map

Track live Frenchtown, Michigan air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-20T16:00:00.000Z	17 \| good	3.463 \| good	9.171 \| good	18.185 \| good	1.028 \| good	5.584 \| good	0.194 \| good
2025-10-20T17:00:00.000Z	22 \| good	3.999 \| good	19.903 \| good	23.321 \| good	0.636 \| good	6.015 \| good	0.133 \| good
2025-10-20T18:00:00.000Z	27 \| good	4.688 \| good	19.1 \| good	25.795 \| good	0.623 \| good	4.552 \| good	0.126 \| good
2025-10-20T19:00:00.000Z	29 \| good	3.001 \| good	11.15 \| good	30.712 \| good	0.616 \| good	4.934 \| good	0.123 \| good
2025-10-20T20:00:00.000Z	27 \| good	2.755 \| good	12.922 \| good	29.395 \| good	0.803 \| good	5.322 \| good	0.13 \| good
2025-10-20T21:00:00.000Z	30 \| good	3.829 \| good	12.814 \| good	31.615 \| good	1.25 \| good	6.157 \| good	0.127 \| good
2025-10-20T22:00:00.000Z	32 \| good	2.373 \| good	10.191 \| good	35.186 \| good	2.117 \| good	2.889 \| good	0.179 \| good
2025-10-20T23:00:00.000Z	31 \| good	2.574 \| good	11.492 \| good	34.128 \| good	0.624 \| good	3.102 \| good	0.173 \| good
2025-10-21T00:00:00.000Z	28 \| good	3.022 \| good	10.197 \| good	30.278 \| good	0.635 \| good	6.216 \| good	0.246 \| good
2025-10-21T01:00:00.000Z	26 \| good	3.352 \| good	14.834 \| good	27.847 \| good	0.801 \| good	10.732 \| good	0.316 \| good
2025-10-21T02:00:00.000Z	49 \| good	8.596 \| good	25.151 \| good	26.543 \| good	0.766 \| good	10.26 \| good	0.295 \| good
2025-10-21T03:00:00.000Z	44 \| good	8.247 \| good	35.875 \| good	24.363 \| good	0.649 \| good	4.681 \| good	0.164 \| good
2025-10-21T04:00:00.000Z	22 \| good	4.105 \| good	18.077 \| good	21.712 \| good	0.793 \| good	11.658 \| good	0.194 \| good
2025-10-21T05:00:00.000Z	27 \| good	3.692 \| good	29.447 \| good	22.197 \| good	2.51 \| good	7.583 \| good	0.129 \| good
2025-10-21T06:00:00.000Z	22 \| good	3.58 \| good	14.519 \| good	21.309 \| good	2.61 \| good	7.293 \| good	0.134 \| good
2025-10-21T07:00:00.000Z	20 \| good	3.383 \| good	21.314 \| good	21.712 \| good	1.461 \| good	7.498 \| good	0.131 \| good
2025-10-21T08:00:00.000Z	20 \| good	3.28 \| good	15.377 \| good	21.591 \| good	1.232 \| good	3.788 \| good	0.114 \| good
2025-10-21T09:00:00.000Z	24 \| good	2.958 \| good	12.42 \| good	26.218 \| good	2.06 \| good	4.219 \| good	0.127 \| good
2025-10-21T10:00:00.000Z	19 \| good	3.221 \| good	19.43 \| good	21.319 \| good	1.077 \| good	4.56 \| good	0.163 \| good
2025-10-21T11:00:00.000Z	23 \| good	3.389 \| good	13.842 \| good	24.552 \| good	1.235 \| good	7.078 \| good	0.176 \| good
2025-10-21T12:00:00.000Z	22 \| good	3.339 \| good	12.454 \| good	24.488 \| good	1.114 \| good	11.47 \| good	0.238 \| good
2025-10-21T13:00:00.000Z	22 \| good	3.723 \| good	15.462 \| good	19.845 \| good	1.265 \| good	11.738 \| good	0.198 \| good
2025-10-21T14:00:00.000Z	27 \| good	5.419 \| good	25.502 \| good	21.686 \| good	1.379 \| good	11.855 \| good	0.198 \| good
2025-10-21T15:00:00.000Z	27 \| good	5.276 \| good	28.739 \| good	23.125 \| good	0.643 \| good	8.198 \| good	0.204 \| good
2025-10-21T16:00:00.000Z	24 \| good	3.52 \| good	14.681 \| good	25.64 \| good	1.02 \| good	7.738 \| good	0.117 \| good
2025-10-21T17:00:00.000Z	26 \| good	3.222 \| good	12.756 \| good	27.527 \| good	1.231 \| good	5.466 \| good	0.12 \| good
2025-10-21T18:00:00.000Z	27 \| good	4 \| good	13.59 \| good	28.838 \| good	1.15 \| good	5.004 \| good	0.109 \| good
2025-10-21T19:00:00.000Z	28 \| good	3.254 \| good	13.632 \| good	29.661 \| good	1.605 \| good	5.133 \| good	0.109 \| good
2025-10-21T20:00:00.000Z	30 \| good	3.119 \| good	12.707 \| good	31.842 \| good	1.722 \| good	4.41 \| good	0.13 \| good
2025-10-21T21:00:00.000Z	29 \| good	3.466 \| good	16.906 \| good	31.171 \| good	0.578 \| good	3.376 \| good	0.177 \| good
2025-10-21T22:00:00.000Z	28 \| good	3.45 \| good	14.411 \| good	30.142 \| good	0.611 \| good	4.265 \| good	0.177 \| good
2025-10-21T23:00:00.000Z	26 \| good	3.164 \| good	14.248 \| good	28.295 \| good	0.719 \| good	4.301 \| good	0.189 \| good
2025-10-22T00:00:00.000Z	26 \| good	3.181 \| good	7.965 \| good	28.394 \| good	1.131 \| good	3.881 \| good	0.169 \| good
2025-10-22T01:00:00.000Z	25 \| good	2.586 \| good	8.532 \| good	26.847 \| good	1.076 \| good	4.965 \| good	0.192 \| good
2025-10-22T02:00:00.000Z	22 \| good	2.749 \| good	9.112 \| good	24.469 \| good	1.075 \| good	5.104 \| good	0.197 \| good
2025-10-22T03:00:00.000Z	24 \| good	2.732 \| good	10.901 \| good	25.523 \| good	0.773 \| good	3.404 \| good	0.14 \| good
2025-10-22T04:00:00.000Z	17 \| good	3.319 \| good	12.444 \| good	18.487 \| good	1.092 \| good	3.578 \| good	0.124 \| good
2025-10-22T05:00:00.000Z	18 \| good	3.25 \| good	11.313 \| good	19.109 \| good	1.055 \| good	5.348 \| good	0.115 \| good
2025-10-22T06:00:00.000Z	18 \| good	3.049 \| good	9.084 \| good	18.718 \| good	1.074 \| good	5.277 \| good	0.112 \| good
2025-10-22T07:00:00.000Z	18 \| good	3.377 \| good	12.146 \| good	18.549 \| good	1.133 \| good	5.807 \| good	0.109 \| good
2025-10-22T08:00:00.000Z	16 \| good	2.875 \| good	12.475 \| good	17.184 \| good	1.043 \| good	5.582 \| good	0.109 \| good
2025-10-22T09:00:00.000Z	14 \| good	2.488 \| good	10.215 \| good	15.119 \| good	1.099 \| good	6.312 \| good	0.106 \| good
2025-10-22T10:00:00.000Z	16 \| good	2.571 \| good	8.97 \| good	16.693 \| good	1.043 \| good	6.2 \| good	0.103 \| good
2025-10-22T11:00:00.000Z	17 \| good	2.899 \| good	11.385 \| good	17.915 \| good	0.707 \| good	8.334 \| good	0.163 \| good
2025-10-22T12:00:00.000Z	16 \| good	3.047 \| good	12.995 \| good	17.069 \| good	1.095 \| good	6.096 \| good	0.174 \| good
2025-10-22T13:00:00.000Z	16 \| good	3.125 \| good	13.565 \| good	16.878 \| good	1.021 \| good	5.931 \| good	0.168 \| good
2025-10-22T14:00:00.000Z	18 \| good	2.953 \| good	8.973 \| good	18.895 \| good	1.024 \| good	8.415 \| good	0.189 \| good
2025-10-22T15:00:00.000Z	18 \| good	2.953 \| good	8.973 \| good	18.895 \| good	1.024 \| good	8.415 \| good	0.189 \| good
2025-10-22T16:00:00.000Z	17 \| good	1.085 \| good	4.366 \| good	17.772 \| good	0.351 \| good	2.358 \| good	0.136 \| good
2025-10-22T17:00:00.000Z	18 \| good	1.305 \| good	5.149 \| good	18.781 \| good	0.327 \| good	2.157 \| good	0.133 \| good
2025-10-22T18:00:00.000Z	21 \| good	1.772 \| good	7.277 \| good	22.786 \| good	0.302 \| good	1.956 \| good	0.129 \| good
2025-10-22T19:00:00.000Z	23 \| good	1.435 \| good	5.739 \| good	24.728 \| good	0.284 \| good	2.044 \| good	0.13 \| good
2025-10-22T20:00:00.000Z	23 \| good	0.93 \| good	3.861 \| good	24.979 \| good	0.267 \| good	2.132 \| good	0.131 \| good
2025-10-22T21:00:00.000Z	23 \| good	0.23 \| good	0.788 \| good	25.235 \| good	0.249 \| good	2.22 \| good	0.132 \| good
2025-10-22T22:00:00.000Z	22 \| good	0.663 \| good	2 \| good	24.222 \| good	0.273 \| good	2.51 \| good	0.135 \| good
2025-10-22T23:00:00.000Z	21 \| good	0.213 \| good	0.374 \| good	22.991 \| good	0.296 \| good	2.8 \| good	0.137 \| good
2025-10-23T00:00:00.000Z	24 \| good	0.339 \| good	1.181 \| good	25.66 \| good	0.32 \| good	3.09 \| good	0.14 \| good
2025-10-23T01:00:00.000Z	20 \| good	0.32 \| good	0.943 \| good	21.521 \| good	0.32 \| good	2.911 \| good	0.138 \| good
2025-10-23T02:00:00.000Z	19 \| good	0.115 \| good	0.073 \| good	19.54 \| good	0.32 \| good	2.731 \| good	0.137 \| good
2025-10-23T03:00:00.000Z	18 \| good	0.598 \| good	2 \| good	19.114 \| good	0.321 \| good	2.552 \| good	0.136 \| good
2025-10-23T04:00:00.000Z	19 \| good	0.55 \| good	2 \| good	20.818 \| good	0.306 \| good	2.305 \| good	0.135 \| good
2025-10-23T05:00:00.000Z	20 \| good	0.517 \| good	2 \| good	21.596 \| good	0.291 \| good	2.059 \| good	0.134 \| good
2025-10-23T06:00:00.000Z	20 \| good	0.094 \| good	0 \| good	21.732 \| good	0.276 \| good	1.813 \| good	0.133 \| good
2025-10-23T07:00:00.000Z	21 \| good	0.082 \| good	0 \| good	22.685 \| good	0.265 \| good	1.668 \| good	0.133 \| good
2025-10-23T08:00:00.000Z	21 \| good	0.293 \| good	1.015 \| good	22.893 \| good	0.253 \| good	1.524 \| good	0.134 \| good
2025-10-23T09:00:00.000Z	19 \| good	0.577 \| good	2.07 \| good	20.762 \| good	0.241 \| good	1.379 \| good	0.134 \| good
2025-10-23T10:00:00.000Z	18 \| good	0.331 \| good	1.095 \| good	19.356 \| good	0.26 \| good	1.59 \| good	0.134 \| good
2025-10-23T11:00:00.000Z	17 \| good	0.47 \| good	1.958 \| good	17.84 \| good	0.278 \| good	1.802 \| good	0.134 \| good
2025-10-23T12:00:00.000Z	17 \| good	0.49 \| good	2 \| good	17.797 \| good	0.297 \| good	2.013 \| good	0.134 \| good
2025-10-23T13:00:00.000Z	19 \| good	0.498 \| good	2 \| good	21.027 \| good	0.313 \| good	1.956 \| good	0.136 \| good
2025-10-23T14:00:00.000Z	22 \| good	0.17 \| good	0.311 \| good	23.737 \| good	0.329 \| good	1.898 \| good	0.138 \| good
2025-10-23T15:00:00.000Z	23 \| good	0.654 \| good	2.311 \| good	25.079 \| good	0.345 \| good	1.84 \| good	0.14 \| good
2025-10-23T16:00:00.000Z	25 \| good	0.503 \| good	1.905 \| good	26.998 \| good	0.329 \| good	1.658 \| good	0.14 \| good
2025-10-23T17:00:00.000Z	27 \| good	0.342 \| good	1 \| good	28.518 \| good	0.314 \| good	1.475 \| good	0.14 \| good
2025-10-23T18:00:00.000Z	28 \| good	0.648 \| good	2.642 \| good	29.693 \| good	0.299 \| good	1.293 \| good	0.14 \| good
2025-10-23T19:00:00.000Z	27 \| good	0.23 \| good	1 \| good	29.288 \| good	0.271 \| good	1.44 \| good	0.139 \| good
2025-10-23T20:00:00.000Z	25 \| good	0.237 \| good	0.905 \| good	26.889 \| good	0.244 \| good	1.588 \| good	0.138 \| good
2025-10-23T21:00:00.000Z	24 \| good	0.511 \| good	2 \| good	25.733 \| good	0.217 \| good	1.736 \| good	0.137 \| good
2025-10-23T22:00:00.000Z	24 \| good	0.53 \| good	2 \| good	25.705 \| good	0.272 \| good	2.411 \| good	0.141 \| good
2025-10-23T23:00:00.000Z	22 \| good	0.544 \| good	2 \| good	23.898 \| good	0.328 \| good	3.085 \| good	0.145 \| good
2025-10-24T00:00:00.000Z	21 \| good	0.391 \| good	1.366 \| good	22.569 \| good	0.384 \| good	3.759 \| good	0.15 \| good
2025-10-24T01:00:00.000Z	17 \| good	0.532 \| good	1.983 \| good	18.29 \| good	0.4 \| good	3.785 \| good	0.149 \| good
2025-10-24T02:00:00.000Z	15 \| good	0.982 \| good	4.099 \| good	16.334 \| good	0.416 \| good	3.811 \| good	0.148 \| good
2025-10-24T03:00:00.000Z	14 \| good	0.884 \| good	3.432 \| good	15.313 \| good	0.431 \| good	3.836 \| good	0.147 \| good
2025-10-24T04:00:00.000Z	15 \| good	0.407 \| good	1.454 \| good	15.744 \| good	0.429 \| good	3.769 \| good	0.147 \| good
2025-10-24T05:00:00.000Z	15 \| good	0.586 \| good	2 \| good	16.269 \| good	0.426 \| good	3.702 \| good	0.146 \| good
2025-10-24T06:00:00.000Z	16 \| good	0.452 \| good	2 \| good	16.971 \| good	0.423 \| good	3.635 \| good	0.145 \| good
2025-10-24T07:00:00.000Z	16 \| good	0.727 \| good	2.893 \| good	17.249 \| good	0.427 \| good	3.509 \| good	0.144 \| good
2025-10-24T08:00:00.000Z	16 \| good	0.837 \| good	3.097 \| good	17.194 \| good	0.43 \| good	3.383 \| good	0.142 \| good
2025-10-24T09:00:00.000Z	15 \| good	1.344 \| good	5.353 \| good	15.648 \| good	0.434 \| good	3.256 \| good	0.141 \| good
2025-10-24T10:00:00.000Z	13 \| good	1.132 \| good	4.776 \| good	13.505 \| good	0.455 \| good	3.614 \| good	0.142 \| good
2025-10-24T11:00:00.000Z	11 \| good	0.367 \| good	1.588 \| good	12.436 \| good	0.476 \| good	3.972 \| good	0.144 \| good
2025-10-24T12:00:00.000Z	14 \| good	0.825 \| good	3.078 \| good	14.565 \| good	0.497 \| good	4.33 \| good	0.146 \| good
2025-10-24T13:00:00.000Z	17 \| good	0.728 \| good	2.863 \| good	18.383 \| good	0.517 \| good	3.858 \| good	0.146 \| good
2025-10-24T14:00:00.000Z	19 \| good	0.616 \| good	2 \| good	20.207 \| good	0.536 \| good	3.387 \| good	0.146 \| good
2025-10-24T15:00:00.000Z	20 \| good	0.241 \| good	0.677 \| good	21.93 \| good	0.556 \| good	2.916 \| good	0.146 \| good

Frenchtown

Get reliable air quality data to drive your business

Frenchtown, Michigan air quality map: Track AQI near you

0.19ppm

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

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 often is the air quality data for Frenchtown, Michigan updated?

The air quality for Frenchtown, Michigan is updated every hour.

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

The worst air quality in Frenchtown, Michigan in the last 24 hours was observed at 08:00:00 on 2025-10-21.

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

In the last 24 hrs, the best air quality in Frenchtown, Michigan was observed at 09:00:00 on 2025-10-22.

What is the current air quality in Frenchtown, Michigan?

The current air quality in Frenchtown, Michigan is 18, categorized as Good based on real-time data.

What pollutant is the most common in Frenchtown, Michigan?

The most common pollutant in Frenchtown, Michigan is O3.

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

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

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

The current PM_2.5 concentration at Frenchtown, Michigan is 2.953 μg/m³.

What is the current concentration of PM₁₀ in Frenchtown, Michigan?

The current PM₁₀ concentration at Frenchtown, Michigan is 8.973 μg/m³.

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

The current carbon monoxide (CO) concentration at Frenchtown, Michigan is 0.189 ppm.

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

The current sulfur dioxide (SO₂) concentration at Frenchtown, Michigan is 1.024 ppb.

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

The current ozone (O₃) concentration at Frenchtown, Michigan is 18.895 ppm.

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

The current nitrogen dioxide (NO₂) concentration at Frenchtown, Michigan is 8.415 ppb.

Certified

APIs

Refund Policy

Historical Climate Data

Terms & Conditions

Refund Policy

Terms & Conditions

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-20T16:00:00.000Z	17 \| good	3.463 \| good	9.171 \| good	18.185 \| good	1.028 \| good	5.584 \| good	0.194 \| good
2025-10-20T17:00:00.000Z	22 \| good	3.999 \| good	19.903 \| good	23.321 \| good	0.636 \| good	6.015 \| good	0.133 \| good
2025-10-20T18:00:00.000Z	27 \| good	4.688 \| good	19.1 \| good	25.795 \| good	0.623 \| good	4.552 \| good	0.126 \| good
2025-10-20T19:00:00.000Z	29 \| good	3.001 \| good	11.15 \| good	30.712 \| good	0.616 \| good	4.934 \| good	0.123 \| good
2025-10-20T20:00:00.000Z	27 \| good	2.755 \| good	12.922 \| good	29.395 \| good	0.803 \| good	5.322 \| good	0.13 \| good
2025-10-20T21:00:00.000Z	30 \| good	3.829 \| good	12.814 \| good	31.615 \| good	1.25 \| good	6.157 \| good	0.127 \| good
2025-10-20T22:00:00.000Z	32 \| good	2.373 \| good	10.191 \| good	35.186 \| good	2.117 \| good	2.889 \| good	0.179 \| good
2025-10-20T23:00:00.000Z	31 \| good	2.574 \| good	11.492 \| good	34.128 \| good	0.624 \| good	3.102 \| good	0.173 \| good
2025-10-21T00:00:00.000Z	28 \| good	3.022 \| good	10.197 \| good	30.278 \| good	0.635 \| good	6.216 \| good	0.246 \| good
2025-10-21T01:00:00.000Z	26 \| good	3.352 \| good	14.834 \| good	27.847 \| good	0.801 \| good	10.732 \| good	0.316 \| good
2025-10-21T02:00:00.000Z	49 \| good	8.596 \| good	25.151 \| good	26.543 \| good	0.766 \| good	10.26 \| good	0.295 \| good
2025-10-21T03:00:00.000Z	44 \| good	8.247 \| good	35.875 \| good	24.363 \| good	0.649 \| good	4.681 \| good	0.164 \| good
2025-10-21T04:00:00.000Z	22 \| good	4.105 \| good	18.077 \| good	21.712 \| good	0.793 \| good	11.658 \| good	0.194 \| good
2025-10-21T05:00:00.000Z	27 \| good	3.692 \| good	29.447 \| good	22.197 \| good	2.51 \| good	7.583 \| good	0.129 \| good
2025-10-21T06:00:00.000Z	22 \| good	3.58 \| good	14.519 \| good	21.309 \| good	2.61 \| good	7.293 \| good	0.134 \| good
2025-10-21T07:00:00.000Z	20 \| good	3.383 \| good	21.314 \| good	21.712 \| good	1.461 \| good	7.498 \| good	0.131 \| good
2025-10-21T08:00:00.000Z	20 \| good	3.28 \| good	15.377 \| good	21.591 \| good	1.232 \| good	3.788 \| good	0.114 \| good
2025-10-21T09:00:00.000Z	24 \| good	2.958 \| good	12.42 \| good	26.218 \| good	2.06 \| good	4.219 \| good	0.127 \| good
2025-10-21T10:00:00.000Z	19 \| good	3.221 \| good	19.43 \| good	21.319 \| good	1.077 \| good	4.56 \| good	0.163 \| good
2025-10-21T11:00:00.000Z	23 \| good	3.389 \| good	13.842 \| good	24.552 \| good	1.235 \| good	7.078 \| good	0.176 \| good
2025-10-21T12:00:00.000Z	22 \| good	3.339 \| good	12.454 \| good	24.488 \| good	1.114 \| good	11.47 \| good	0.238 \| good
2025-10-21T13:00:00.000Z	22 \| good	3.723 \| good	15.462 \| good	19.845 \| good	1.265 \| good	11.738 \| good	0.198 \| good
2025-10-21T14:00:00.000Z	27 \| good	5.419 \| good	25.502 \| good	21.686 \| good	1.379 \| good	11.855 \| good	0.198 \| good
2025-10-21T15:00:00.000Z	27 \| good	5.276 \| good	28.739 \| good	23.125 \| good	0.643 \| good	8.198 \| good	0.204 \| good
2025-10-21T16:00:00.000Z	24 \| good	3.52 \| good	14.681 \| good	25.64 \| good	1.02 \| good	7.738 \| good	0.117 \| good
2025-10-21T17:00:00.000Z	26 \| good	3.222 \| good	12.756 \| good	27.527 \| good	1.231 \| good	5.466 \| good	0.12 \| good
2025-10-21T18:00:00.000Z	27 \| good	4 \| good	13.59 \| good	28.838 \| good	1.15 \| good	5.004 \| good	0.109 \| good
2025-10-21T19:00:00.000Z	28 \| good	3.254 \| good	13.632 \| good	29.661 \| good	1.605 \| good	5.133 \| good	0.109 \| good
2025-10-21T20:00:00.000Z	30 \| good	3.119 \| good	12.707 \| good	31.842 \| good	1.722 \| good	4.41 \| good	0.13 \| good
2025-10-21T21:00:00.000Z	29 \| good	3.466 \| good	16.906 \| good	31.171 \| good	0.578 \| good	3.376 \| good	0.177 \| good
2025-10-21T22:00:00.000Z	28 \| good	3.45 \| good	14.411 \| good	30.142 \| good	0.611 \| good	4.265 \| good	0.177 \| good
2025-10-21T23:00:00.000Z	26 \| good	3.164 \| good	14.248 \| good	28.295 \| good	0.719 \| good	4.301 \| good	0.189 \| good
2025-10-22T00:00:00.000Z	26 \| good	3.181 \| good	7.965 \| good	28.394 \| good	1.131 \| good	3.881 \| good	0.169 \| good
2025-10-22T01:00:00.000Z	25 \| good	2.586 \| good	8.532 \| good	26.847 \| good	1.076 \| good	4.965 \| good	0.192 \| good
2025-10-22T02:00:00.000Z	22 \| good	2.749 \| good	9.112 \| good	24.469 \| good	1.075 \| good	5.104 \| good	0.197 \| good
2025-10-22T03:00:00.000Z	24 \| good	2.732 \| good	10.901 \| good	25.523 \| good	0.773 \| good	3.404 \| good	0.14 \| good
2025-10-22T04:00:00.000Z	17 \| good	3.319 \| good	12.444 \| good	18.487 \| good	1.092 \| good	3.578 \| good	0.124 \| good
2025-10-22T05:00:00.000Z	18 \| good	3.25 \| good	11.313 \| good	19.109 \| good	1.055 \| good	5.348 \| good	0.115 \| good
2025-10-22T06:00:00.000Z	18 \| good	3.049 \| good	9.084 \| good	18.718 \| good	1.074 \| good	5.277 \| good	0.112 \| good
2025-10-22T07:00:00.000Z	18 \| good	3.377 \| good	12.146 \| good	18.549 \| good	1.133 \| good	5.807 \| good	0.109 \| good
2025-10-22T08:00:00.000Z	16 \| good	2.875 \| good	12.475 \| good	17.184 \| good	1.043 \| good	5.582 \| good	0.109 \| good
2025-10-22T09:00:00.000Z	14 \| good	2.488 \| good	10.215 \| good	15.119 \| good	1.099 \| good	6.312 \| good	0.106 \| good
2025-10-22T10:00:00.000Z	16 \| good	2.571 \| good	8.97 \| good	16.693 \| good	1.043 \| good	6.2 \| good	0.103 \| good
2025-10-22T11:00:00.000Z	17 \| good	2.899 \| good	11.385 \| good	17.915 \| good	0.707 \| good	8.334 \| good	0.163 \| good
2025-10-22T12:00:00.000Z	16 \| good	3.047 \| good	12.995 \| good	17.069 \| good	1.095 \| good	6.096 \| good	0.174 \| good
2025-10-22T13:00:00.000Z	16 \| good	3.125 \| good	13.565 \| good	16.878 \| good	1.021 \| good	5.931 \| good	0.168 \| good
2025-10-22T14:00:00.000Z	18 \| good	2.953 \| good	8.973 \| good	18.895 \| good	1.024 \| good	8.415 \| good	0.189 \| good
2025-10-22T15:00:00.000Z	18 \| good	2.953 \| good	8.973 \| good	18.895 \| good	1.024 \| good	8.415 \| good	0.189 \| good
2025-10-22T16:00:00.000Z	17 \| good	1.085 \| good	4.366 \| good	17.772 \| good	0.351 \| good	2.358 \| good	0.136 \| good
2025-10-22T17:00:00.000Z	18 \| good	1.305 \| good	5.149 \| good	18.781 \| good	0.327 \| good	2.157 \| good	0.133 \| good
2025-10-22T18:00:00.000Z	21 \| good	1.772 \| good	7.277 \| good	22.786 \| good	0.302 \| good	1.956 \| good	0.129 \| good
2025-10-22T19:00:00.000Z	23 \| good	1.435 \| good	5.739 \| good	24.728 \| good	0.284 \| good	2.044 \| good	0.13 \| good
2025-10-22T20:00:00.000Z	23 \| good	0.93 \| good	3.861 \| good	24.979 \| good	0.267 \| good	2.132 \| good	0.131 \| good
2025-10-22T21:00:00.000Z	23 \| good	0.23 \| good	0.788 \| good	25.235 \| good	0.249 \| good	2.22 \| good	0.132 \| good
2025-10-22T22:00:00.000Z	22 \| good	0.663 \| good	2 \| good	24.222 \| good	0.273 \| good	2.51 \| good	0.135 \| good
2025-10-22T23:00:00.000Z	21 \| good	0.213 \| good	0.374 \| good	22.991 \| good	0.296 \| good	2.8 \| good	0.137 \| good
2025-10-23T00:00:00.000Z	24 \| good	0.339 \| good	1.181 \| good	25.66 \| good	0.32 \| good	3.09 \| good	0.14 \| good
2025-10-23T01:00:00.000Z	20 \| good	0.32 \| good	0.943 \| good	21.521 \| good	0.32 \| good	2.911 \| good	0.138 \| good
2025-10-23T02:00:00.000Z	19 \| good	0.115 \| good	0.073 \| good	19.54 \| good	0.32 \| good	2.731 \| good	0.137 \| good
2025-10-23T03:00:00.000Z	18 \| good	0.598 \| good	2 \| good	19.114 \| good	0.321 \| good	2.552 \| good	0.136 \| good
2025-10-23T04:00:00.000Z	19 \| good	0.55 \| good	2 \| good	20.818 \| good	0.306 \| good	2.305 \| good	0.135 \| good
2025-10-23T05:00:00.000Z	20 \| good	0.517 \| good	2 \| good	21.596 \| good	0.291 \| good	2.059 \| good	0.134 \| good
2025-10-23T06:00:00.000Z	20 \| good	0.094 \| good	0 \| good	21.732 \| good	0.276 \| good	1.813 \| good	0.133 \| good
2025-10-23T07:00:00.000Z	21 \| good	0.082 \| good	0 \| good	22.685 \| good	0.265 \| good	1.668 \| good	0.133 \| good
2025-10-23T08:00:00.000Z	21 \| good	0.293 \| good	1.015 \| good	22.893 \| good	0.253 \| good	1.524 \| good	0.134 \| good
2025-10-23T09:00:00.000Z	19 \| good	0.577 \| good	2.07 \| good	20.762 \| good	0.241 \| good	1.379 \| good	0.134 \| good
2025-10-23T10:00:00.000Z	18 \| good	0.331 \| good	1.095 \| good	19.356 \| good	0.26 \| good	1.59 \| good	0.134 \| good
2025-10-23T11:00:00.000Z	17 \| good	0.47 \| good	1.958 \| good	17.84 \| good	0.278 \| good	1.802 \| good	0.134 \| good
2025-10-23T12:00:00.000Z	17 \| good	0.49 \| good	2 \| good	17.797 \| good	0.297 \| good	2.013 \| good	0.134 \| good
2025-10-23T13:00:00.000Z	19 \| good	0.498 \| good	2 \| good	21.027 \| good	0.313 \| good	1.956 \| good	0.136 \| good
2025-10-23T14:00:00.000Z	22 \| good	0.17 \| good	0.311 \| good	23.737 \| good	0.329 \| good	1.898 \| good	0.138 \| good
2025-10-23T15:00:00.000Z	23 \| good	0.654 \| good	2.311 \| good	25.079 \| good	0.345 \| good	1.84 \| good	0.14 \| good
2025-10-23T16:00:00.000Z	25 \| good	0.503 \| good	1.905 \| good	26.998 \| good	0.329 \| good	1.658 \| good	0.14 \| good
2025-10-23T17:00:00.000Z	27 \| good	0.342 \| good	1 \| good	28.518 \| good	0.314 \| good	1.475 \| good	0.14 \| good
2025-10-23T18:00:00.000Z	28 \| good	0.648 \| good	2.642 \| good	29.693 \| good	0.299 \| good	1.293 \| good	0.14 \| good
2025-10-23T19:00:00.000Z	27 \| good	0.23 \| good	1 \| good	29.288 \| good	0.271 \| good	1.44 \| good	0.139 \| good
2025-10-23T20:00:00.000Z	25 \| good	0.237 \| good	0.905 \| good	26.889 \| good	0.244 \| good	1.588 \| good	0.138 \| good
2025-10-23T21:00:00.000Z	24 \| good	0.511 \| good	2 \| good	25.733 \| good	0.217 \| good	1.736 \| good	0.137 \| good
2025-10-23T22:00:00.000Z	24 \| good	0.53 \| good	2 \| good	25.705 \| good	0.272 \| good	2.411 \| good	0.141 \| good
2025-10-23T23:00:00.000Z	22 \| good	0.544 \| good	2 \| good	23.898 \| good	0.328 \| good	3.085 \| good	0.145 \| good
2025-10-24T00:00:00.000Z	21 \| good	0.391 \| good	1.366 \| good	22.569 \| good	0.384 \| good	3.759 \| good	0.15 \| good
2025-10-24T01:00:00.000Z	17 \| good	0.532 \| good	1.983 \| good	18.29 \| good	0.4 \| good	3.785 \| good	0.149 \| good
2025-10-24T02:00:00.000Z	15 \| good	0.982 \| good	4.099 \| good	16.334 \| good	0.416 \| good	3.811 \| good	0.148 \| good
2025-10-24T03:00:00.000Z	14 \| good	0.884 \| good	3.432 \| good	15.313 \| good	0.431 \| good	3.836 \| good	0.147 \| good
2025-10-24T04:00:00.000Z	15 \| good	0.407 \| good	1.454 \| good	15.744 \| good	0.429 \| good	3.769 \| good	0.147 \| good
2025-10-24T05:00:00.000Z	15 \| good	0.586 \| good	2 \| good	16.269 \| good	0.426 \| good	3.702 \| good	0.146 \| good
2025-10-24T06:00:00.000Z	16 \| good	0.452 \| good	2 \| good	16.971 \| good	0.423 \| good	3.635 \| good	0.145 \| good
2025-10-24T07:00:00.000Z	16 \| good	0.727 \| good	2.893 \| good	17.249 \| good	0.427 \| good	3.509 \| good	0.144 \| good
2025-10-24T08:00:00.000Z	16 \| good	0.837 \| good	3.097 \| good	17.194 \| good	0.43 \| good	3.383 \| good	0.142 \| good
2025-10-24T09:00:00.000Z	15 \| good	1.344 \| good	5.353 \| good	15.648 \| good	0.434 \| good	3.256 \| good	0.141 \| good
2025-10-24T10:00:00.000Z	13 \| good	1.132 \| good	4.776 \| good	13.505 \| good	0.455 \| good	3.614 \| good	0.142 \| good
2025-10-24T11:00:00.000Z	11 \| good	0.367 \| good	1.588 \| good	12.436 \| good	0.476 \| good	3.972 \| good	0.144 \| good
2025-10-24T12:00:00.000Z	14 \| good	0.825 \| good	3.078 \| good	14.565 \| good	0.497 \| good	4.33 \| good	0.146 \| good
2025-10-24T13:00:00.000Z	17 \| good	0.728 \| good	2.863 \| good	18.383 \| good	0.517 \| good	3.858 \| good	0.146 \| good
2025-10-24T14:00:00.000Z	19 \| good	0.616 \| good	2 \| good	20.207 \| good	0.536 \| good	3.387 \| good	0.146 \| good
2025-10-24T15:00:00.000Z	20 \| good	0.241 \| good	0.677 \| good	21.93 \| good	0.556 \| good	2.916 \| good	0.146 \| good

Frenchtown, Michigan live air quality index now

Major air pollutants in Frenchtown, Michigan

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Frenchtown, Michigan air quality forecast and history

Get reliable air quality data to drive your business

Frenchtown, Michigan air quality map: Track AQI near you

Air quality in nearby cities

Monroe City, Michigan

Monroe Charter Township, Michigan

Flat Rock, Michigan

Port Huron Charter Township, Michigan

Huron Charter Township, Michigan

Woodhaven, Michigan

How accurate is Michigan, USA air quality data?

Air quality levels in US

Frequently asked questions

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

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

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

What is the current air quality in Frenchtown, Michigan?

What pollutant is the most common in Frenchtown, Michigan?

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

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

What is the current concentration of PM10 in Frenchtown, Michigan?

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

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

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

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

What is the current concentration of PM₁₀ in Frenchtown, Michigan?

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

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

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