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

The current PM10 concentration at Egelston, Michigan is 16.477 μg/m3.

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

The current sulfur dioxide (SO2) concentration at Egelston, Michigan is 0.29 ppb.

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

The current ozone (O3) concentration at Egelston, Michigan is 37.855 ppm.

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

The current nitrogen dioxide (NO2) concentration at Egelston, Michigan is 3.987 ppb.

Egelston, Michigan live air quality index now

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

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)

8.52 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

36.72 μg/m³

155

255

425

605+

Ozone (O₃)

26.04 ppb

201

201+

Sulfur Dioxide (SO₂)

0.33 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

10.47 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.29 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Egelston, Michigan

Get Live Pollen Counts

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
2025-07-26T15:00:00.000Z	67 \| moderate	18.053 \| fine	61.525 \| fine	27.742 \| good	0.59 \| good	2.841 \| good	0.261 \| good
2025-07-26T16:00:00.000Z	75 \| moderate	22.096 \| fine	49.331 \| good	30.182 \| good	0.344 \| good	2.489 \| good	0.246 \| good
2025-07-26T17:00:00.000Z	49 \| good	8.79 \| good	30.506 \| good	34.254 \| good	0.316 \| good	3.122 \| good	0.243 \| good
2025-07-26T18:00:00.000Z	44 \| good	7.585 \| good	20.04 \| good	32.447 \| good	0.547 \| good	3.443 \| good	0.248 \| good
2025-07-26T19:00:00.000Z	33 \| good	5.068 \| good	18.411 \| good	36.275 \| good	0.3 \| good	3.16 \| good	0.26 \| good
2025-07-26T20:00:00.000Z	41 \| good	6.4 \| good	24.129 \| good	44.314 \| good	0.298 \| good	3.413 \| good	0.25 \| good
2025-07-26T21:00:00.000Z	43 \| good	5.643 \| good	16.045 \| good	45.581 \| good	0.316 \| good	3.321 \| good	0.237 \| good
2025-07-26T22:00:00.000Z	39 \| good	6.821 \| good	18.675 \| good	42.229 \| good	0.294 \| good	2.808 \| good	0.24 \| good
2025-07-26T23:00:00.000Z	42 \| good	5.149 \| good	19.202 \| good	45.424 \| good	0.256 \| good	3.018 \| good	0.241 \| good
2025-07-27T00:00:00.000Z	43 \| good	5.288 \| good	18.766 \| good	45.748 \| good	0.376 \| good	3.569 \| good	0.241 \| good
2025-07-27T01:00:00.000Z	43 \| good	7.221 \| good	19.867 \| good	46.357 \| good	0.383 \| good	3.541 \| good	0.234 \| good
2025-07-27T02:00:00.000Z	44 \| good	7.516 \| good	21.313 \| good	42.564 \| good	0.373 \| good	3.709 \| good	0.252 \| good
2025-07-27T03:00:00.000Z	38 \| good	6.638 \| good	22.281 \| good	39.034 \| good	0.365 \| good	4.671 \| good	0.272 \| good
2025-07-27T04:00:00.000Z	33 \| good	6.433 \| good	21.564 \| good	32.126 \| good	0.366 \| good	4.792 \| good	0.288 \| good
2025-07-27T05:00:00.000Z	33 \| good	5.94 \| good	25.63 \| good	26.491 \| good	0.343 \| good	4.29 \| good	0.231 \| good
2025-07-27T06:00:00.000Z	33 \| good	6.106 \| good	25.861 \| good	28.998 \| good	0.344 \| good	3.105 \| good	0.231 \| good
2025-07-27T07:00:00.000Z	33 \| good	6.39 \| good	26.436 \| good	28.677 \| good	0.652 \| good	3.274 \| good	0.212 \| good
2025-07-27T08:00:00.000Z	33 \| good	6.44 \| good	30.642 \| good	24.483 \| good	0.32 \| good	3.199 \| good	0.197 \| good
2025-07-27T09:00:00.000Z	33 \| good	6.4 \| good	26.487 \| good	18.514 \| good	0.508 \| good	3.134 \| good	0.199 \| good
2025-07-27T10:00:00.000Z	38 \| good	6.586 \| good	27.178 \| good	15.205 \| good	0.317 \| good	3.384 \| good	0.196 \| good
2025-07-27T11:00:00.000Z	33 \| good	6.105 \| good	24.633 \| good	16.473 \| good	0.252 \| good	3.287 \| good	0.197 \| good
2025-07-27T12:00:00.000Z	33 \| good	5.719 \| good	22.968 \| good	16.475 \| good	0.521 \| good	3.215 \| good	0.216 \| good
2025-07-27T13:00:00.000Z	33 \| good	6.252 \| good	27.016 \| good	15.822 \| good	0.356 \| good	3.087 \| good	0.199 \| good
2025-07-27T14:00:00.000Z	33 \| good	5.641 \| good	28.257 \| good	24.862 \| good	0.341 \| good	2.712 \| good	0.201 \| good
2025-07-27T15:00:00.000Z	38 \| good	7.287 \| good	27.524 \| good	26.445 \| good	0.384 \| good	3.457 \| good	0.184 \| good
2025-07-27T16:00:00.000Z	30 \| good	5.284 \| good	15.42 \| good	32.07 \| good	0.411 \| good	2.403 \| good	0.183 \| good
2025-07-27T17:00:00.000Z	44 \| good	7.736 \| good	12.611 \| good	34.753 \| good	0.339 \| good	2.069 \| good	0.183 \| good
2025-07-27T18:00:00.000Z	38 \| good	7.186 \| good	22.225 \| good	38.91 \| good	0.374 \| good	1.919 \| good	0.182 \| good
2025-07-27T19:00:00.000Z	44 \| good	8.406 \| good	32.351 \| good	40.302 \| good	0.444 \| good	1.952 \| good	0.182 \| good
2025-07-27T20:00:00.000Z	44 \| good	7.786 \| good	21.686 \| good	42.647 \| good	0.462 \| good	2.406 \| good	0.182 \| good
2025-07-27T21:00:00.000Z	44 \| good	7.505 \| good	28.324 \| good	44.497 \| good	0.387 \| good	2.29 \| good	0.183 \| good
2025-07-27T22:00:00.000Z	39 \| good	6.879 \| good	25.971 \| good	41.936 \| good	0.387 \| good	2.429 \| good	0.187 \| good
2025-07-27T23:00:00.000Z	41 \| good	6.104 \| good	27.63 \| good	43.751 \| good	0.297 \| good	3.324 \| good	0.192 \| good
2025-07-28T00:00:00.000Z	38 \| good	7.085 \| good	13.517 \| good	39.549 \| good	0.292 \| good	3.908 \| good	0.239 \| good
2025-07-28T01:00:00.000Z	44 \| good	7.689 \| good	29.355 \| good	35.326 \| good	0.403 \| good	3.305 \| good	0.192 \| good
2025-07-28T02:00:00.000Z	44 \| good	7.702 \| good	28.211 \| good	31.779 \| good	0.43 \| good	2.085 \| good	0.193 \| good
2025-07-28T03:00:00.000Z	44 \| good	7.824 \| good	35.022 \| good	28.704 \| good	0.492 \| good	5.932 \| good	0.247 \| good
2025-07-28T04:00:00.000Z	38 \| good	6.65 \| good	30.754 \| good	18.17 \| good	0.477 \| good	6.734 \| good	0.263 \| good
2025-07-28T05:00:00.000Z	44 \| good	7.904 \| good	35.595 \| good	19.182 \| good	0.461 \| good	7.769 \| good	0.28 \| good
2025-07-28T06:00:00.000Z	49 \| good	9.322 \| good	41.643 \| good	15.791 \| good	0.304 \| good	6.429 \| good	0.263 \| good
2025-07-28T07:00:00.000Z	49 \| good	8.846 \| good	33.047 \| good	16.29 \| good	0.289 \| good	5.38 \| good	0.264 \| good
2025-07-28T08:00:00.000Z	38 \| good	6.793 \| good	22.398 \| good	16.372 \| good	0.323 \| good	4.696 \| good	0.265 \| good
2025-07-28T09:00:00.000Z	49 \| good	9.484 \| good	44.819 \| good	12.914 \| good	0.301 \| good	6.264 \| good	0.269 \| good
2025-07-28T10:00:00.000Z	49 \| good	8.866 \| good	20.319 \| good	16.277 \| good	0.343 \| good	7.213 \| good	0.264 \| good
2025-07-28T11:00:00.000Z	49 \| good	9.059 \| good	22.174 \| good	14.801 \| good	0.367 \| good	9.511 \| good	0.358 \| good
2025-07-28T12:00:00.000Z	52 \| moderate	9.666 \| good	45.821 \| good	11.99 \| good	0.39 \| good	10.005 \| good	0.406 \| good
2025-07-28T13:00:00.000Z	38 \| good	6.595 \| good	29.477 \| good	13.345 \| good	0.324 \| good	11.293 \| good	0.394 \| good
2025-07-28T14:00:00.000Z	49 \| good	8.719 \| good	39.879 \| good	24.773 \| good	0.336 \| good	10.035 \| good	0.296 \| good
2025-07-28T14:00:00.000Z	49 \| good	8.523 \| good	36.722 \| good	26.043 \| good	0.328 \| good	10.466 \| good	0.295 \| good
2025-07-28T01:00:00.000Z	38 \| good	6.583 \| good	29.139 \| good	33.617 \| good	0.641 \| good	2.837 \| good	0.208 \| good
2025-07-28T02:00:00.000Z	38 \| good	7.142 \| good	31.351 \| good	23.974 \| good	0.509 \| good	3.726 \| good	0.219 \| good
2025-07-28T03:00:00.000Z	49 \| good	9.112 \| good	40.916 \| good	22.203 \| good	0.378 \| good	4.614 \| good	0.23 \| good
2025-07-28T04:00:00.000Z	58 \| moderate	12.617 \| fine	57.232 \| fine	21.371 \| good	0.409 \| good	5.042 \| good	0.237 \| good
2025-07-28T05:00:00.000Z	60 \| moderate	14.391 \| fine	64.808 \| fine	17.504 \| good	0.44 \| good	5.47 \| good	0.244 \| good
2025-07-28T06:00:00.000Z	60 \| moderate	13.632 \| fine	61.315 \| fine	17.347 \| good	0.472 \| good	5.897 \| good	0.25 \| good
2025-07-28T07:00:00.000Z	60 \| moderate	14.04 \| fine	63.213 \| fine	17.773 \| good	0.52 \| good	5.135 \| good	0.242 \| good
2025-07-28T08:00:00.000Z	58 \| moderate	13.398 \| fine	60.661 \| fine	15.184 \| good	0.568 \| good	4.373 \| good	0.233 \| good
2025-07-28T09:00:00.000Z	60 \| moderate	13.511 \| fine	61.177 \| fine	15.561 \| good	0.615 \| good	3.611 \| good	0.224 \| good
2025-07-28T10:00:00.000Z	56 \| moderate	11.583 \| good	51.387 \| good	16.74 \| good	0.507 \| good	3.345 \| good	0.223 \| good
2025-07-28T11:00:00.000Z	54 \| moderate	11.426 \| good	50.396 \| good	17.325 \| good	0.399 \| good	3.08 \| good	0.222 \| good
2025-07-28T12:00:00.000Z	54 \| moderate	11.266 \| good	50.102 \| good	25.598 \| good	0.291 \| good	2.814 \| good	0.221 \| good
2025-07-28T13:00:00.000Z	56 \| moderate	11.533 \| good	50.955 \| good	32.694 \| good	0.843 \| good	2.463 \| good	0.224 \| good
2025-07-28T14:00:00.000Z	54 \| moderate	10.542 \| good	46.784 \| good	44.776 \| good	1.395 \| good	2.113 \| good	0.227 \| good
2025-07-28T15:00:00.000Z	49 \| good	9.442 \| good	42.009 \| good	47.64 \| good	1.948 \| good	1.762 \| good	0.23 \| good
2025-07-28T16:00:00.000Z	49 \| good	8.608 \| good	37.839 \| good	47.918 \| good	1.799 \| good	1.551 \| good	0.219 \| good
2025-07-28T17:00:00.000Z	46 \| good	8.192 \| good	35.949 \| good	50.337 \| good	1.651 \| good	1.34 \| good	0.208 \| good
2025-07-28T18:00:00.000Z	52 \| moderate	9.821 \| good	43.899 \| good	52.533 \| good	1.502 \| good	1.129 \| good	0.197 \| good
2025-07-28T19:00:00.000Z	50 \| good	9.119 \| good	40.589 \| good	53.974 \| good	1.256 \| good	1.064 \| good	0.192 \| good
2025-07-28T20:00:00.000Z	50 \| good	8.004 \| good	34.984 \| good	54.263 \| good	1.01 \| good	0.998 \| good	0.188 \| good
2025-07-28T21:00:00.000Z	48 \| good	7.553 \| good	33.142 \| good	51.836 \| good	0.764 \| good	0.933 \| good	0.184 \| good
2025-07-28T22:00:00.000Z	47 \| good	6.473 \| good	28.895 \| good	50.821 \| good	0.757 \| good	1.318 \| good	0.191 \| good
2025-07-28T23:00:00.000Z	42 \| good	6.662 \| good	29.881 \| good	45.269 \| good	0.75 \| good	1.702 \| good	0.199 \| good
2025-07-29T00:00:00.000Z	38 \| good	7.413 \| good	32.382 \| good	35.12 \| good	0.743 \| good	2.086 \| good	0.206 \| good
2025-07-29T01:00:00.000Z	44 \| good	8.024 \| good	35.31 \| good	30.034 \| good	0.729 \| good	2.345 \| good	0.215 \| good
2025-07-29T02:00:00.000Z	38 \| good	7.241 \| good	32.187 \| good	24.063 \| good	0.714 \| good	2.605 \| good	0.223 \| good
2025-07-29T03:00:00.000Z	49 \| good	8.642 \| good	37.788 \| good	23.712 \| good	0.7 \| good	2.864 \| good	0.232 \| good
2025-07-29T04:00:00.000Z	54 \| moderate	10.56 \| good	46.448 \| good	21.876 \| good	0.636 \| good	2.771 \| good	0.227 \| good
2025-07-29T05:00:00.000Z	56 \| moderate	12.492 \| fine	57.027 \| fine	18.633 \| good	0.573 \| good	2.678 \| good	0.223 \| good
2025-07-29T06:00:00.000Z	56 \| moderate	12.163 \| fine	54.43 \| good	12.845 \| good	0.51 \| good	2.585 \| good	0.219 \| good
2025-07-29T07:00:00.000Z	60 \| moderate	14.238 \| fine	63.472 \| fine	15.176 \| good	0.484 \| good	2.89 \| good	0.216 \| good
2025-07-29T08:00:00.000Z	60 \| moderate	14.284 \| fine	63.432 \| fine	13.217 \| good	0.459 \| good	3.195 \| good	0.213 \| good
2025-07-29T09:00:00.000Z	60 \| moderate	14.161 \| fine	63.295 \| fine	12.309 \| good	0.433 \| good	3.5 \| good	0.211 \| good
2025-07-29T10:00:00.000Z	54 \| moderate	11.464 \| good	50.551 \| good	14.476 \| good	0.37 \| good	3.44 \| good	0.212 \| good
2025-07-29T11:00:00.000Z	54 \| moderate	10.998 \| good	48.587 \| good	8.867 \| good	0.307 \| good	3.379 \| good	0.214 \| good
2025-07-29T12:00:00.000Z	52 \| moderate	10.023 \| good	44.452 \| good	17.742 \| good	0.244 \| good	3.319 \| good	0.215 \| good
2025-07-29T13:00:00.000Z	54 \| moderate	11.459 \| good	50.663 \| good	26.303 \| good	0.321 \| good	2.774 \| good	0.21 \| good
2025-07-29T14:00:00.000Z	52 \| moderate	10.291 \| good	45.402 \| good	38.858 \| good	0.398 \| good	2.228 \| good	0.204 \| good
2025-07-29T15:00:00.000Z	49 \| good	9.037 \| good	40.787 \| good	43.326 \| good	0.475 \| good	1.683 \| good	0.199 \| good
2025-07-29T16:00:00.000Z	44 \| good	7.729 \| good	33.992 \| good	42.354 \| good	0.524 \| good	1.413 \| good	0.194 \| good
2025-07-29T17:00:00.000Z	49 \| good	8.791 \| good	38.207 \| good	43.003 \| good	0.574 \| good	1.142 \| good	0.19 \| good
2025-07-29T18:00:00.000Z	49 \| good	8.692 \| good	38.139 \| good	50.13 \| good	0.623 \| good	0.871 \| good	0.185 \| good
2025-07-29T19:00:00.000Z	48 \| good	8.288 \| good	36.463 \| good	52.353 \| good	0.609 \| good	0.868 \| good	0.182 \| good
2025-07-29T20:00:00.000Z	49 \| good	7.412 \| good	32.652 \| good	53.226 \| good	0.595 \| good	0.865 \| good	0.178 \| good
2025-07-29T21:00:00.000Z	44 \| good	6.598 \| good	29.298 \| good	47.837 \| good	0.58 \| good	0.862 \| good	0.175 \| good
2025-07-29T22:00:00.000Z	40 \| good	5.346 \| good	23.13 \| good	42.893 \| good	0.535 \| good	1.219 \| good	0.175 \| good
2025-07-29T23:00:00.000Z	40 \| good	4.587 \| good	20.046 \| good	42.887 \| good	0.49 \| good	1.577 \| good	0.175 \| good
2025-07-30T00:00:00.000Z	48 \| good	5.291 \| good	5.891 \| good	51.796 \| good	0.421 \| good	1.902 \| good	0.175 \| good

Egelston

Get reliable air quality data to drive your business

Egelston, 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

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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 10:00:00 on 2025-07-27.

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 12:00:00 on 2025-07-27.

What is the current air quality in Egelston, Michigan?

The current air quality in Egelston, Michigan is 38, 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 PM2.5.

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 6.616 μg/m³.

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

The current PM₁₀ concentration at Egelston, Michigan is 16.477 μg/m³.

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

The current carbon monoxide (CO) concentration at Egelston, Michigan is 0.244 ppm.

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

The current sulfur dioxide (SO₂) concentration at Egelston, Michigan is 0.29 ppb.

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

The current ozone (O₃) concentration at Egelston, Michigan is 37.855 ppm.

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

The current nitrogen dioxide (NO₂) concentration at Egelston, Michigan is 3.987 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-07-26T15:00:00.000Z	67 \| moderate	18.053 \| fine	61.525 \| fine	27.742 \| good	0.59 \| good	2.841 \| good	0.261 \| good
2025-07-26T16:00:00.000Z	75 \| moderate	22.096 \| fine	49.331 \| good	30.182 \| good	0.344 \| good	2.489 \| good	0.246 \| good
2025-07-26T17:00:00.000Z	49 \| good	8.79 \| good	30.506 \| good	34.254 \| good	0.316 \| good	3.122 \| good	0.243 \| good
2025-07-26T18:00:00.000Z	44 \| good	7.585 \| good	20.04 \| good	32.447 \| good	0.547 \| good	3.443 \| good	0.248 \| good
2025-07-26T19:00:00.000Z	33 \| good	5.068 \| good	18.411 \| good	36.275 \| good	0.3 \| good	3.16 \| good	0.26 \| good
2025-07-26T20:00:00.000Z	41 \| good	6.4 \| good	24.129 \| good	44.314 \| good	0.298 \| good	3.413 \| good	0.25 \| good
2025-07-26T21:00:00.000Z	43 \| good	5.643 \| good	16.045 \| good	45.581 \| good	0.316 \| good	3.321 \| good	0.237 \| good
2025-07-26T22:00:00.000Z	39 \| good	6.821 \| good	18.675 \| good	42.229 \| good	0.294 \| good	2.808 \| good	0.24 \| good
2025-07-26T23:00:00.000Z	42 \| good	5.149 \| good	19.202 \| good	45.424 \| good	0.256 \| good	3.018 \| good	0.241 \| good
2025-07-27T00:00:00.000Z	43 \| good	5.288 \| good	18.766 \| good	45.748 \| good	0.376 \| good	3.569 \| good	0.241 \| good
2025-07-27T01:00:00.000Z	43 \| good	7.221 \| good	19.867 \| good	46.357 \| good	0.383 \| good	3.541 \| good	0.234 \| good
2025-07-27T02:00:00.000Z	44 \| good	7.516 \| good	21.313 \| good	42.564 \| good	0.373 \| good	3.709 \| good	0.252 \| good
2025-07-27T03:00:00.000Z	38 \| good	6.638 \| good	22.281 \| good	39.034 \| good	0.365 \| good	4.671 \| good	0.272 \| good
2025-07-27T04:00:00.000Z	33 \| good	6.433 \| good	21.564 \| good	32.126 \| good	0.366 \| good	4.792 \| good	0.288 \| good
2025-07-27T05:00:00.000Z	33 \| good	5.94 \| good	25.63 \| good	26.491 \| good	0.343 \| good	4.29 \| good	0.231 \| good
2025-07-27T06:00:00.000Z	33 \| good	6.106 \| good	25.861 \| good	28.998 \| good	0.344 \| good	3.105 \| good	0.231 \| good
2025-07-27T07:00:00.000Z	33 \| good	6.39 \| good	26.436 \| good	28.677 \| good	0.652 \| good	3.274 \| good	0.212 \| good
2025-07-27T08:00:00.000Z	33 \| good	6.44 \| good	30.642 \| good	24.483 \| good	0.32 \| good	3.199 \| good	0.197 \| good
2025-07-27T09:00:00.000Z	33 \| good	6.4 \| good	26.487 \| good	18.514 \| good	0.508 \| good	3.134 \| good	0.199 \| good
2025-07-27T10:00:00.000Z	38 \| good	6.586 \| good	27.178 \| good	15.205 \| good	0.317 \| good	3.384 \| good	0.196 \| good
2025-07-27T11:00:00.000Z	33 \| good	6.105 \| good	24.633 \| good	16.473 \| good	0.252 \| good	3.287 \| good	0.197 \| good
2025-07-27T12:00:00.000Z	33 \| good	5.719 \| good	22.968 \| good	16.475 \| good	0.521 \| good	3.215 \| good	0.216 \| good
2025-07-27T13:00:00.000Z	33 \| good	6.252 \| good	27.016 \| good	15.822 \| good	0.356 \| good	3.087 \| good	0.199 \| good
2025-07-27T14:00:00.000Z	33 \| good	5.641 \| good	28.257 \| good	24.862 \| good	0.341 \| good	2.712 \| good	0.201 \| good
2025-07-27T15:00:00.000Z	38 \| good	7.287 \| good	27.524 \| good	26.445 \| good	0.384 \| good	3.457 \| good	0.184 \| good
2025-07-27T16:00:00.000Z	30 \| good	5.284 \| good	15.42 \| good	32.07 \| good	0.411 \| good	2.403 \| good	0.183 \| good
2025-07-27T17:00:00.000Z	44 \| good	7.736 \| good	12.611 \| good	34.753 \| good	0.339 \| good	2.069 \| good	0.183 \| good
2025-07-27T18:00:00.000Z	38 \| good	7.186 \| good	22.225 \| good	38.91 \| good	0.374 \| good	1.919 \| good	0.182 \| good
2025-07-27T19:00:00.000Z	44 \| good	8.406 \| good	32.351 \| good	40.302 \| good	0.444 \| good	1.952 \| good	0.182 \| good
2025-07-27T20:00:00.000Z	44 \| good	7.786 \| good	21.686 \| good	42.647 \| good	0.462 \| good	2.406 \| good	0.182 \| good
2025-07-27T21:00:00.000Z	44 \| good	7.505 \| good	28.324 \| good	44.497 \| good	0.387 \| good	2.29 \| good	0.183 \| good
2025-07-27T22:00:00.000Z	39 \| good	6.879 \| good	25.971 \| good	41.936 \| good	0.387 \| good	2.429 \| good	0.187 \| good
2025-07-27T23:00:00.000Z	41 \| good	6.104 \| good	27.63 \| good	43.751 \| good	0.297 \| good	3.324 \| good	0.192 \| good
2025-07-28T00:00:00.000Z	38 \| good	7.085 \| good	13.517 \| good	39.549 \| good	0.292 \| good	3.908 \| good	0.239 \| good
2025-07-28T01:00:00.000Z	44 \| good	7.689 \| good	29.355 \| good	35.326 \| good	0.403 \| good	3.305 \| good	0.192 \| good
2025-07-28T02:00:00.000Z	44 \| good	7.702 \| good	28.211 \| good	31.779 \| good	0.43 \| good	2.085 \| good	0.193 \| good
2025-07-28T03:00:00.000Z	44 \| good	7.824 \| good	35.022 \| good	28.704 \| good	0.492 \| good	5.932 \| good	0.247 \| good
2025-07-28T04:00:00.000Z	38 \| good	6.65 \| good	30.754 \| good	18.17 \| good	0.477 \| good	6.734 \| good	0.263 \| good
2025-07-28T05:00:00.000Z	44 \| good	7.904 \| good	35.595 \| good	19.182 \| good	0.461 \| good	7.769 \| good	0.28 \| good
2025-07-28T06:00:00.000Z	49 \| good	9.322 \| good	41.643 \| good	15.791 \| good	0.304 \| good	6.429 \| good	0.263 \| good
2025-07-28T07:00:00.000Z	49 \| good	8.846 \| good	33.047 \| good	16.29 \| good	0.289 \| good	5.38 \| good	0.264 \| good
2025-07-28T08:00:00.000Z	38 \| good	6.793 \| good	22.398 \| good	16.372 \| good	0.323 \| good	4.696 \| good	0.265 \| good
2025-07-28T09:00:00.000Z	49 \| good	9.484 \| good	44.819 \| good	12.914 \| good	0.301 \| good	6.264 \| good	0.269 \| good
2025-07-28T10:00:00.000Z	49 \| good	8.866 \| good	20.319 \| good	16.277 \| good	0.343 \| good	7.213 \| good	0.264 \| good
2025-07-28T11:00:00.000Z	49 \| good	9.059 \| good	22.174 \| good	14.801 \| good	0.367 \| good	9.511 \| good	0.358 \| good
2025-07-28T12:00:00.000Z	52 \| moderate	9.666 \| good	45.821 \| good	11.99 \| good	0.39 \| good	10.005 \| good	0.406 \| good
2025-07-28T13:00:00.000Z	38 \| good	6.595 \| good	29.477 \| good	13.345 \| good	0.324 \| good	11.293 \| good	0.394 \| good
2025-07-28T14:00:00.000Z	49 \| good	8.719 \| good	39.879 \| good	24.773 \| good	0.336 \| good	10.035 \| good	0.296 \| good
2025-07-28T14:00:00.000Z	49 \| good	8.523 \| good	36.722 \| good	26.043 \| good	0.328 \| good	10.466 \| good	0.295 \| good
2025-07-28T01:00:00.000Z	38 \| good	6.583 \| good	29.139 \| good	33.617 \| good	0.641 \| good	2.837 \| good	0.208 \| good
2025-07-28T02:00:00.000Z	38 \| good	7.142 \| good	31.351 \| good	23.974 \| good	0.509 \| good	3.726 \| good	0.219 \| good
2025-07-28T03:00:00.000Z	49 \| good	9.112 \| good	40.916 \| good	22.203 \| good	0.378 \| good	4.614 \| good	0.23 \| good
2025-07-28T04:00:00.000Z	58 \| moderate	12.617 \| fine	57.232 \| fine	21.371 \| good	0.409 \| good	5.042 \| good	0.237 \| good
2025-07-28T05:00:00.000Z	60 \| moderate	14.391 \| fine	64.808 \| fine	17.504 \| good	0.44 \| good	5.47 \| good	0.244 \| good
2025-07-28T06:00:00.000Z	60 \| moderate	13.632 \| fine	61.315 \| fine	17.347 \| good	0.472 \| good	5.897 \| good	0.25 \| good
2025-07-28T07:00:00.000Z	60 \| moderate	14.04 \| fine	63.213 \| fine	17.773 \| good	0.52 \| good	5.135 \| good	0.242 \| good
2025-07-28T08:00:00.000Z	58 \| moderate	13.398 \| fine	60.661 \| fine	15.184 \| good	0.568 \| good	4.373 \| good	0.233 \| good
2025-07-28T09:00:00.000Z	60 \| moderate	13.511 \| fine	61.177 \| fine	15.561 \| good	0.615 \| good	3.611 \| good	0.224 \| good
2025-07-28T10:00:00.000Z	56 \| moderate	11.583 \| good	51.387 \| good	16.74 \| good	0.507 \| good	3.345 \| good	0.223 \| good
2025-07-28T11:00:00.000Z	54 \| moderate	11.426 \| good	50.396 \| good	17.325 \| good	0.399 \| good	3.08 \| good	0.222 \| good
2025-07-28T12:00:00.000Z	54 \| moderate	11.266 \| good	50.102 \| good	25.598 \| good	0.291 \| good	2.814 \| good	0.221 \| good
2025-07-28T13:00:00.000Z	56 \| moderate	11.533 \| good	50.955 \| good	32.694 \| good	0.843 \| good	2.463 \| good	0.224 \| good
2025-07-28T14:00:00.000Z	54 \| moderate	10.542 \| good	46.784 \| good	44.776 \| good	1.395 \| good	2.113 \| good	0.227 \| good
2025-07-28T15:00:00.000Z	49 \| good	9.442 \| good	42.009 \| good	47.64 \| good	1.948 \| good	1.762 \| good	0.23 \| good
2025-07-28T16:00:00.000Z	49 \| good	8.608 \| good	37.839 \| good	47.918 \| good	1.799 \| good	1.551 \| good	0.219 \| good
2025-07-28T17:00:00.000Z	46 \| good	8.192 \| good	35.949 \| good	50.337 \| good	1.651 \| good	1.34 \| good	0.208 \| good
2025-07-28T18:00:00.000Z	52 \| moderate	9.821 \| good	43.899 \| good	52.533 \| good	1.502 \| good	1.129 \| good	0.197 \| good
2025-07-28T19:00:00.000Z	50 \| good	9.119 \| good	40.589 \| good	53.974 \| good	1.256 \| good	1.064 \| good	0.192 \| good
2025-07-28T20:00:00.000Z	50 \| good	8.004 \| good	34.984 \| good	54.263 \| good	1.01 \| good	0.998 \| good	0.188 \| good
2025-07-28T21:00:00.000Z	48 \| good	7.553 \| good	33.142 \| good	51.836 \| good	0.764 \| good	0.933 \| good	0.184 \| good
2025-07-28T22:00:00.000Z	47 \| good	6.473 \| good	28.895 \| good	50.821 \| good	0.757 \| good	1.318 \| good	0.191 \| good
2025-07-28T23:00:00.000Z	42 \| good	6.662 \| good	29.881 \| good	45.269 \| good	0.75 \| good	1.702 \| good	0.199 \| good
2025-07-29T00:00:00.000Z	38 \| good	7.413 \| good	32.382 \| good	35.12 \| good	0.743 \| good	2.086 \| good	0.206 \| good
2025-07-29T01:00:00.000Z	44 \| good	8.024 \| good	35.31 \| good	30.034 \| good	0.729 \| good	2.345 \| good	0.215 \| good
2025-07-29T02:00:00.000Z	38 \| good	7.241 \| good	32.187 \| good	24.063 \| good	0.714 \| good	2.605 \| good	0.223 \| good
2025-07-29T03:00:00.000Z	49 \| good	8.642 \| good	37.788 \| good	23.712 \| good	0.7 \| good	2.864 \| good	0.232 \| good
2025-07-29T04:00:00.000Z	54 \| moderate	10.56 \| good	46.448 \| good	21.876 \| good	0.636 \| good	2.771 \| good	0.227 \| good
2025-07-29T05:00:00.000Z	56 \| moderate	12.492 \| fine	57.027 \| fine	18.633 \| good	0.573 \| good	2.678 \| good	0.223 \| good
2025-07-29T06:00:00.000Z	56 \| moderate	12.163 \| fine	54.43 \| good	12.845 \| good	0.51 \| good	2.585 \| good	0.219 \| good
2025-07-29T07:00:00.000Z	60 \| moderate	14.238 \| fine	63.472 \| fine	15.176 \| good	0.484 \| good	2.89 \| good	0.216 \| good
2025-07-29T08:00:00.000Z	60 \| moderate	14.284 \| fine	63.432 \| fine	13.217 \| good	0.459 \| good	3.195 \| good	0.213 \| good
2025-07-29T09:00:00.000Z	60 \| moderate	14.161 \| fine	63.295 \| fine	12.309 \| good	0.433 \| good	3.5 \| good	0.211 \| good
2025-07-29T10:00:00.000Z	54 \| moderate	11.464 \| good	50.551 \| good	14.476 \| good	0.37 \| good	3.44 \| good	0.212 \| good
2025-07-29T11:00:00.000Z	54 \| moderate	10.998 \| good	48.587 \| good	8.867 \| good	0.307 \| good	3.379 \| good	0.214 \| good
2025-07-29T12:00:00.000Z	52 \| moderate	10.023 \| good	44.452 \| good	17.742 \| good	0.244 \| good	3.319 \| good	0.215 \| good
2025-07-29T13:00:00.000Z	54 \| moderate	11.459 \| good	50.663 \| good	26.303 \| good	0.321 \| good	2.774 \| good	0.21 \| good
2025-07-29T14:00:00.000Z	52 \| moderate	10.291 \| good	45.402 \| good	38.858 \| good	0.398 \| good	2.228 \| good	0.204 \| good
2025-07-29T15:00:00.000Z	49 \| good	9.037 \| good	40.787 \| good	43.326 \| good	0.475 \| good	1.683 \| good	0.199 \| good
2025-07-29T16:00:00.000Z	44 \| good	7.729 \| good	33.992 \| good	42.354 \| good	0.524 \| good	1.413 \| good	0.194 \| good
2025-07-29T17:00:00.000Z	49 \| good	8.791 \| good	38.207 \| good	43.003 \| good	0.574 \| good	1.142 \| good	0.19 \| good
2025-07-29T18:00:00.000Z	49 \| good	8.692 \| good	38.139 \| good	50.13 \| good	0.623 \| good	0.871 \| good	0.185 \| good
2025-07-29T19:00:00.000Z	48 \| good	8.288 \| good	36.463 \| good	52.353 \| good	0.609 \| good	0.868 \| good	0.182 \| good
2025-07-29T20:00:00.000Z	49 \| good	7.412 \| good	32.652 \| good	53.226 \| good	0.595 \| good	0.865 \| good	0.178 \| good
2025-07-29T21:00:00.000Z	44 \| good	6.598 \| good	29.298 \| good	47.837 \| good	0.58 \| good	0.862 \| good	0.175 \| good
2025-07-29T22:00:00.000Z	40 \| good	5.346 \| good	23.13 \| good	42.893 \| good	0.535 \| good	1.219 \| good	0.175 \| good
2025-07-29T23:00:00.000Z	40 \| good	4.587 \| good	20.046 \| good	42.887 \| good	0.49 \| good	1.577 \| good	0.175 \| good
2025-07-30T00:00:00.000Z	48 \| good	5.291 \| good	5.891 \| good	51.796 \| good	0.421 \| good	1.902 \| good	0.175 \| good

Egelston, Michigan live air quality index now

Major air pollutants in Egelston, Michigan

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

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Egelston, Michigan air quality map: Track AQI near you

Air quality in nearby cities

Muskegon Charter Township, Michigan

Fruitport Charter Township, Michigan

Muskegon, Michigan

Norton Shores, Michigan

Spring Lake, Michigan

Grand Haven, Michigan

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Frequently asked questions

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

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

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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 current concentration of PM_2.5 in Egelston, Michigan?

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

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

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