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

The current PM10 concentration at Egelston, Michigan is 21.345 μg/m3.

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

The current sulfur dioxide (SO2) concentration at Egelston, Michigan is 0.617 ppb.

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

The current ozone (O3) concentration at Egelston, Michigan is 39.915 ppm.

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

The current nitrogen dioxide (NO2) concentration at Egelston, Michigan is 8.041 ppb.

Egelston, Michigan live air quality index now

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

The current PM2.5 concentration at Egelston, Michigan is 4.904 μg/m3.

Stay updated with real-time air quality in Egelston, 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

Egelston, Michigan

Last updated: ... (Local time)

Major air pollutants in Egelston, Michigan

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

4.90 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

21.34 μg/m³

155

255

425

605+

Ozone (O₃)

39.91 ppb

201

201+

Sulfur Dioxide (SO₂)

0.62 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

8.04 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.29 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Looks like we don't have this data available right now

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Egelston, Michigan

Scroll To Air Quality Map

Track live Egelston, Michigan air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-03-08T01:00:00.000Z	22 \| good	4.013 \| good	12.154 \| good	18.13 \| good	0.514 \| good	2.493 \| good	0.204 \| good
2026-03-08T02:00:00.000Z	18 \| good	3.148 \| good	11.908 \| good	19.02 \| good	0.513 \| good	2.494 \| good	0.203 \| good
2026-03-08T03:00:00.000Z	38 \| good	7.42 \| good	32.77 \| good	31.586 \| good	0.403 \| good	2.43 \| good	0.194 \| good
2026-03-08T04:00:00.000Z	22 \| good	4.249 \| good	16.981 \| good	19.717 \| good	0.512 \| good	2.159 \| good	0.202 \| good
2026-03-08T05:00:00.000Z	18 \| good	3.459 \| good	14.358 \| good	18.916 \| good	0.512 \| good	2.021 \| good	0.19 \| good
2026-03-08T06:00:00.000Z	22 \| good	3.795 \| good	16 \| good	18.958 \| good	0.471 \| good	1.994 \| good	0.191 \| good
2026-03-08T07:00:00.000Z	22 \| good	3.735 \| good	22.64 \| good	21.103 \| good	0.489 \| good	2.012 \| good	0.181 \| good
2026-03-08T08:00:00.000Z	21 \| good	2.811 \| good	10.235 \| good	23.183 \| good	0.531 \| good	2.156 \| good	0.19 \| good
2026-03-08T09:00:00.000Z	21 \| good	3.177 \| good	13.952 \| good	22.518 \| good	0.494 \| good	2.603 \| good	0.135 \| good
2026-03-08T10:00:00.000Z	23 \| good	3.509 \| good	14.979 \| good	25.199 \| good	0.55 \| good	2.085 \| good	0.189 \| good
2026-03-08T11:00:00.000Z	24 \| good	3.131 \| good	14.2 \| good	25.697 \| good	0.644 \| good	1.91 \| good	0.19 \| good
2026-03-08T12:00:00.000Z	23 \| good	3.31 \| good	9.613 \| good	25.102 \| good	0.68 \| good	2.374 \| good	0.191 \| good
2026-03-08T13:00:00.000Z	27 \| good	4.852 \| good	11.245 \| good	26.597 \| good	0.719 \| good	3.116 \| good	0.176 \| good
2026-03-08T14:00:00.000Z	33 \| good	6.137 \| good	20.457 \| good	27.165 \| good	0.782 \| good	3.251 \| good	0.178 \| good
2026-03-08T15:00:00.000Z	49 \| good	8.903 \| good	26.242 \| good	27.266 \| good	0.88 \| good	3.279 \| good	0.188 \| good
2026-03-08T16:00:00.000Z	49 \| good	8.793 \| good	23.267 \| good	26.159 \| good	0.568 \| good	2.828 \| good	0.19 \| good
2026-03-08T17:00:00.000Z	38 \| good	7.393 \| good	18.212 \| good	27.346 \| good	0.659 \| good	2.502 \| good	0.196 \| good
2026-03-08T18:00:00.000Z	33 \| good	6.469 \| good	17.833 \| good	33.15 \| good	0.757 \| good	2.498 \| good	0.179 \| good
2026-03-08T19:00:00.000Z	33 \| good	6.028 \| good	13.431 \| good	36.469 \| good	0.833 \| good	2.644 \| good	0.175 \| good
2026-03-08T20:00:00.000Z	34 \| good	5.164 \| good	9.975 \| good	37.355 \| good	0.784 \| good	3.217 \| good	0.188 \| good
2026-03-08T21:00:00.000Z	37 \| good	4.397 \| good	18.262 \| good	39.604 \| good	0.793 \| good	3.276 \| good	0.187 \| good
2026-03-08T22:00:00.000Z	32 \| good	4.118 \| good	19.295 \| good	35.445 \| good	0.818 \| good	3.213 \| good	0.186 \| good
2026-03-08T23:00:00.000Z	37 \| good	4.143 \| good	13.503 \| good	39.516 \| good	0.834 \| good	3.912 \| good	0.188 \| good
2026-03-09T00:00:00.000Z	36 \| good	4.382 \| good	13.632 \| good	39.112 \| good	0.723 \| good	4.438 \| good	0.202 \| good
2026-03-09T01:00:00.000Z	33 \| good	4.37 \| good	11.604 \| good	36.463 \| good	0.617 \| good	5.09 \| good	0.201 \| good
2026-03-09T02:00:00.000Z	36 \| good	4.475 \| good	11.724 \| good	38.633 \| good	0.592 \| good	5.095 \| good	0.203 \| good
2026-03-09T03:00:00.000Z	38 \| good	4.168 \| good	18.167 \| good	41.493 \| good	0.922 \| good	3.762 \| good	0.17 \| good
2026-03-09T04:00:00.000Z	31 \| good	4.084 \| good	18.372 \| good	34.394 \| good	0.569 \| good	2.895 \| good	0.19 \| good
2026-03-09T05:00:00.000Z	32 \| good	3.901 \| good	13.307 \| good	35.366 \| good	0.632 \| good	2.143 \| good	0.181 \| good
2026-03-09T06:00:00.000Z	32 \| good	3.22 \| good	12.703 \| good	35.198 \| good	0.712 \| good	1.986 \| good	0.181 \| good
2026-03-09T07:00:00.000Z	31 \| good	3.521 \| good	17.67 \| good	34.074 \| good	0.716 \| good	1.945 \| good	0.172 \| good
2026-03-09T08:00:00.000Z	31 \| good	3.924 \| good	15.975 \| good	32.811 \| good	0.704 \| good	2.169 \| good	0.174 \| good
2026-03-09T09:00:00.000Z	31 \| good	3.849 \| good	21.115 \| good	32.804 \| good	0.715 \| good	2.186 \| good	0.175 \| good
2026-03-09T10:00:00.000Z	28 \| good	3.388 \| good	13.54 \| good	29.72 \| good	0.688 \| good	3.919 \| good	0.181 \| good
2026-03-09T11:00:00.000Z	28 \| good	4.173 \| good	16.917 \| good	29.637 \| good	0.685 \| good	7.235 \| good	0.198 \| good
2026-03-09T12:00:00.000Z	26 \| good	4.078 \| good	16.341 \| good	28.39 \| good	0.708 \| good	9.2 \| good	0.201 \| good
2026-03-09T13:00:00.000Z	27 \| good	4.585 \| good	15.665 \| good	25.598 \| good	0.712 \| good	8.78 \| good	0.202 \| good
2026-03-09T14:00:00.000Z	22 \| good	4.319 \| good	14.377 \| good	24.301 \| good	0.742 \| good	8.318 \| good	0.205 \| good
2026-03-09T15:00:00.000Z	27 \| good	4.868 \| good	23.004 \| good	28.671 \| good	0.793 \| good	5.667 \| good	0.189 \| good
2026-03-09T16:00:00.000Z	27 \| good	4.84 \| good	21.301 \| good	22.234 \| good	0.791 \| good	4.933 \| good	0.189 \| good
2026-03-09T17:00:00.000Z	27 \| good	4.611 \| good	20.966 \| good	28.121 \| good	0.837 \| good	5.653 \| good	0.187 \| good
2026-03-09T18:00:00.000Z	28 \| good	5.136 \| good	22.067 \| good	29.96 \| good	0.826 \| good	5.406 \| good	0.199 \| good
2026-03-09T19:00:00.000Z	35 \| good	5.1 \| good	23.55 \| good	37.619 \| good	0.783 \| good	5.268 \| good	0.2 \| good
2026-03-09T20:00:00.000Z	35 \| good	5.816 \| good	26.41 \| good	38.37 \| good	0.819 \| good	5.277 \| good	0.203 \| good
2026-03-09T21:00:00.000Z	38 \| good	4.825 \| good	17.185 \| good	41.436 \| good	0.844 \| good	4.213 \| good	0.233 \| good
2026-03-09T22:00:00.000Z	38 \| good	4.862 \| good	16.161 \| good	40.733 \| good	0.724 \| good	4.357 \| good	0.219 \| good
2026-03-09T23:00:00.000Z	41 \| good	5.353 \| good	22.464 \| good	43.652 \| good	0.703 \| good	5.738 \| good	0.221 \| good
2026-03-10T00:00:00.000Z	37 \| good	4.904 \| good	21.345 \| good	39.915 \| good	0.617 \| good	8.041 \| good	0.292 \| good
2026-03-10T00:00:00.000Z	37 \| good	4.904 \| good	21.345 \| good	39.915 \| good	0.617 \| good	8.041 \| good	0.292 \| good
2026-03-10T01:00:00.000Z	22 \| good	4.175 \| good	18.14 \| good	16.259 \| good	1.224 \| good	9.892 \| good	0.247 \| good
2026-03-10T02:00:00.000Z	38 \| good	7.208 \| good	32.023 \| good	20.709 \| good	1.401 \| good	11.569 \| good	0.271 \| good
2026-03-10T03:00:00.000Z	44 \| good	8.32 \| good	36.783 \| good	17.646 \| good	1.578 \| good	13.247 \| good	0.294 \| good
2026-03-10T04:00:00.000Z	52 \| moderate	9.681 \| good	43.055 \| good	17.241 \| good	1.444 \| good	11.718 \| good	0.282 \| good
2026-03-10T05:00:00.000Z	52 \| moderate	10.346 \| good	45.861 \| good	14.161 \| good	1.31 \| good	10.19 \| good	0.269 \| good
2026-03-10T06:00:00.000Z	56 \| moderate	12.384 \| fine	56.26 \| fine	11.529 \| good	1.176 \| good	8.661 \| good	0.256 \| good
2026-03-10T07:00:00.000Z	22 \| good	3.766 \| good	16.501 \| good	23.039 \| good	1.015 \| good	7.301 \| good	0.239 \| good
2026-03-10T08:00:00.000Z	22 \| good	0.96 \| good	3.876 \| good	23.748 \| good	0.854 \| good	5.94 \| good	0.223 \| good
2026-03-10T09:00:00.000Z	20 \| good	0.987 \| good	4 \| good	22.372 \| good	0.693 \| good	4.579 \| good	0.206 \| good
2026-03-10T10:00:00.000Z	23 \| good	2.742 \| good	11.581 \| good	24.908 \| good	0.591 \| good	4.18 \| good	0.197 \| good
2026-03-10T11:00:00.000Z	24 \| good	1.629 \| good	6.914 \| good	25.641 \| good	0.489 \| good	3.78 \| good	0.188 \| good
2026-03-10T12:00:00.000Z	21 \| good	1.607 \| good	6.9 \| good	22.955 \| good	0.387 \| good	3.38 \| good	0.179 \| good
2026-03-10T13:00:00.000Z	21 \| good	2.467 \| good	10 \| good	23.317 \| good	0.405 \| good	3.722 \| good	0.184 \| good
2026-03-10T14:00:00.000Z	23 \| good	3.094 \| good	12.44 \| good	25.148 \| good	0.422 \| good	4.064 \| good	0.19 \| good
2026-03-10T15:00:00.000Z	21 \| good	1.888 \| good	7.969 \| good	22.867 \| good	0.439 \| good	4.406 \| good	0.196 \| good
2026-03-10T16:00:00.000Z	22 \| good	0.989 \| good	4 \| good	24.116 \| good	0.463 \| good	4.315 \| good	0.194 \| good
2026-03-10T17:00:00.000Z	23 \| good	1.826 \| good	7.945 \| good	25.059 \| good	0.487 \| good	4.223 \| good	0.193 \| good
2026-03-10T18:00:00.000Z	33 \| good	3.672 \| good	16 \| good	35.514 \| good	0.511 \| good	4.132 \| good	0.191 \| good
2026-03-10T19:00:00.000Z	33 \| good	1.845 \| good	7.918 \| good	36.349 \| good	0.519 \| good	4.334 \| good	0.191 \| good
2026-03-10T20:00:00.000Z	32 \| good	1.543 \| good	6.188 \| good	35.209 \| good	0.527 \| good	4.536 \| good	0.191 \| good
2026-03-10T21:00:00.000Z	31 \| good	2.972 \| good	12.061 \| good	34.457 \| good	0.534 \| good	4.739 \| good	0.191 \| good
2026-03-10T22:00:00.000Z	31 \| good	2.277 \| good	9.027 \| good	33.982 \| good	0.48 \| good	5.076 \| good	0.192 \| good
2026-03-10T23:00:00.000Z	34 \| good	0.556 \| good	1.945 \| good	36.93 \| good	0.425 \| good	5.414 \| good	0.193 \| good
2026-03-11T00:00:00.000Z	25 \| good	0.904 \| good	3.266 \| good	27.341 \| good	0.37 \| good	5.751 \| good	0.194 \| good
2026-03-11T01:00:00.000Z	23 \| good	0.821 \| good	3 \| good	25.486 \| good	0.341 \| good	4.881 \| good	0.186 \| good
2026-03-11T02:00:00.000Z	28 \| good	2.034 \| good	8.046 \| good	30.294 \| good	0.313 \| good	4.01 \| good	0.177 \| good
2026-03-11T03:00:00.000Z	29 \| good	2.762 \| good	11.148 \| good	31.029 \| good	0.284 \| good	3.14 \| good	0.169 \| good
2026-03-11T04:00:00.000Z	28 \| good	3.479 \| good	15.148 \| good	30.292 \| good	0.27 \| good	3.202 \| good	0.171 \| good
2026-03-11T05:00:00.000Z	29 \| good	3.262 \| good	14.179 \| good	30.712 \| good	0.257 \| good	3.263 \| good	0.173 \| good
2026-03-11T06:00:00.000Z	27 \| good	4.676 \| good	4.703 \| good	25.056 \| good	0.242 \| good	3.296 \| good	0.175 \| good
2026-03-11T07:00:00.000Z	20 \| good	2.216 \| good	9.193 \| good	21.776 \| good	0.231 \| good	3.111 \| good	0.174 \| good
2026-03-11T08:00:00.000Z	11 \| good	1.726 \| good	7.055 \| good	12.439 \| good	0.217 \| good	2.896 \| good	0.173 \| good
2026-03-11T09:00:00.000Z	16 \| good	1.319 \| good	5.194 \| good	17.158 \| good	0.204 \| good	2.682 \| good	0.172 \| good
2026-03-11T10:00:00.000Z	16 \| good	3.124 \| good	13.623 \| good	17.26 \| good	0.204 \| good	2.495 \| good	0.171 \| good
2026-03-11T11:00:00.000Z	22 \| good	3.58 \| good	15.862 \| good	15.58 \| good	0.203 \| good	2.308 \| good	0.169 \| good
2026-03-11T12:00:00.000Z	22 \| good	1.877 \| good	1.881 \| good	23.734 \| good	0.198 \| good	2.062 \| good	0.167 \| good
2026-03-11T13:00:00.000Z	23 \| good	1.463 \| good	1.469 \| good	25.087 \| good	0.205 \| good	2.103 \| good	0.169 \| good
2026-03-11T14:00:00.000Z	24 \| good	1.468 \| good	1.478 \| good	26.44 \| good	0.213 \| good	2.144 \| good	0.171 \| good
2026-03-11T15:00:00.000Z	26 \| good	1.302 \| good	1.32 \| good	27.793 \| good	0.22 \| good	2.186 \| good	0.173 \| good
2026-03-11T16:00:00.000Z	28 \| good	1.141 \| good	1.159 \| good	29.64 \| good	0.21 \| good	1.893 \| good	0.169 \| good
2026-03-11T17:00:00.000Z	22 \| good	0.991 \| good	4.018 \| good	23.968 \| good	0.205 \| good	1.663 \| good	0.166 \| good
2026-03-11T18:00:00.000Z	31 \| good	1.052 \| good	1.096 \| good	33.333 \| good	0.19 \| good	1.308 \| good	0.162 \| good
2026-03-11T19:00:00.000Z	33 \| good	0.928 \| good	0.966 \| good	35.788 \| good	0.178 \| good	1.159 \| good	0.157 \| good
2026-03-11T20:00:00.000Z	35 \| good	0.899 \| good	0.987 \| good	38.242 \| good	0.166 \| good	1.011 \| good	0.153 \| good
2026-03-11T21:00:00.000Z	38 \| good	0.539 \| good	0.581 \| good	40.697 \| good	0.154 \| good	0.862 \| good	0.149 \| good
2026-03-11T22:00:00.000Z	39 \| good	0.999 \| good	1.233 \| good	41.916 \| good	0.148 \| good	0.858 \| good	0.147 \| good
2026-03-11T23:00:00.000Z	40 \| good	0.489 \| good	0.567 \| good	43.134 \| good	0.142 \| good	0.854 \| good	0.145 \| good
2026-03-12T00:00:00.000Z	41 \| good	0.489 \| good	0.58 \| good	44.352 \| good	0.136 \| good	0.85 \| good	0.143 \| good

Egelston

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Egelston, Michigan air quality map: Track AQI near you

0.22ppm

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 Egelston, Michigan updated?

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

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

The worst air quality in Egelston, Michigan in the last 24 hours was observed at 11:00:00 on 2026-03-09.

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

In the last 24 hrs, the best air quality in Egelston, Michigan was observed at 02:00:00 on 2026-03-09.

What is the current air quality in Egelston, Michigan?

The current air quality in Egelston, Michigan is 37, categorized as Good based on real-time data.

What pollutant is the most common in Egelston, Michigan?

The most common pollutant in Egelston, Michigan is O3.

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

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

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

The current PM_2.5 concentration at Egelston, Michigan is 4.904 μg/m³.

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

The current PM₁₀ concentration at Egelston, Michigan is 21.345 μg/m³.

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

The current carbon monoxide (CO) concentration at Egelston, Michigan is 0.292 ppm.

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

The current sulfur dioxide (SO₂) concentration at Egelston, Michigan is 0.617 ppb.

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

The current ozone (O₃) concentration at Egelston, Michigan is 39.915 ppm.

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

The current nitrogen dioxide (NO₂) concentration at Egelston, Michigan is 8.041 ppb.

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