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

The current PM10 concentration at Egelston, Michigan is 36.807 μg/m3.

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

The current sulfur dioxide (SO2) concentration at Egelston, Michigan is 0.596 ppb.

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

The current ozone (O3) concentration at Egelston, Michigan is 47.773 ppm.

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

The current nitrogen dioxide (NO2) concentration at Egelston, Michigan is 11.073 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 8.582 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)

8.58 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

36.81 μg/m³

155

255

425

605+

Ozone (O₃)

47.77 ppb

201

201+

Sulfur Dioxide (SO₂)

0.60 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

11.07 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.37 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

High

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
2026-04-22T04:00:00.000Z	52 \| moderate	10.017 \| good	36.227 \| good	41.635 \| good	0.602 \| good	12.573 \| good	0.47 \| good
2026-04-22T05:00:00.000Z	56 \| moderate	11.546 \| good	33.648 \| good	34.542 \| good	0.587 \| good	12.672 \| good	0.399 \| good
2026-04-22T06:00:00.000Z	49 \| good	8.52 \| good	34.637 \| good	31.287 \| good	0.641 \| good	13.623 \| good	0.397 \| good
2026-04-22T07:00:00.000Z	49 \| good	8.736 \| good	32.427 \| good	19.47 \| good	0.694 \| good	12.883 \| good	0.384 \| good
2026-04-22T08:00:00.000Z	44 \| good	8.114 \| good	24.85 \| good	19.006 \| good	0.57 \| good	9.233 \| good	0.382 \| good
2026-04-22T09:00:00.000Z	52 \| moderate	9.595 \| good	33.667 \| good	28.229 \| good	0.544 \| good	11.21 \| good	0.341 \| good
2026-04-22T10:00:00.000Z	44 \| good	7.723 \| good	31.174 \| good	13.722 \| good	0.569 \| good	11.123 \| good	0.406 \| good
2026-04-22T11:00:00.000Z	52 \| moderate	9.733 \| good	35.497 \| good	20.779 \| good	0.577 \| good	13.09 \| good	0.422 \| good
2026-04-22T12:00:00.000Z	52 \| moderate	9.855 \| good	36.397 \| good	14.904 \| good	0.584 \| good	14.423 \| good	0.49 \| good
2026-04-22T13:00:00.000Z	44 \| good	8.481 \| good	27.985 \| good	25.358 \| good	0.491 \| good	9.748 \| good	0.419 \| good
2026-04-22T14:00:00.000Z	44 \| good	8.273 \| good	28.392 \| good	35.922 \| good	0.491 \| good	7.703 \| good	0.295 \| good
2026-04-22T15:00:00.000Z	44 \| good	7.514 \| good	30.356 \| good	32.299 \| good	0.569 \| good	4.668 \| good	0.217 \| good
2026-04-22T16:00:00.000Z	44 \| good	8.341 \| good	30.651 \| good	45.561 \| good	0.613 \| good	4.141 \| good	0.197 \| good
2026-04-22T17:00:00.000Z	44 \| good	8.256 \| good	33.792 \| good	41.23 \| good	0.653 \| good	4.349 \| good	0.215 \| good
2026-04-22T18:00:00.000Z	44 \| good	6.413 \| good	14.568 \| good	47.479 \| good	0.652 \| good	4.449 \| good	0.217 \| good
2026-04-22T19:00:00.000Z	48 \| good	4.713 \| good	19.468 \| good	51.927 \| good	0.697 \| good	5.872 \| good	0.205 \| good
2026-04-22T20:00:00.000Z	46 \| good	4.01 \| good	12.246 \| good	49.993 \| good	0.787 \| good	7.093 \| good	0.211 \| good
2026-04-22T21:00:00.000Z	40 \| good	3.637 \| good	13.939 \| good	43.276 \| good	0.793 \| good	7.238 \| good	0.26 \| good
2026-04-22T22:00:00.000Z	43 \| good	3.09 \| good	14.796 \| good	46.431 \| good	0.631 \| good	7.638 \| good	0.26 \| good
2026-04-22T23:00:00.000Z	44 \| good	5.75 \| good	20.007 \| good	46.739 \| good	0.739 \| good	6.754 \| good	0.268 \| good
2026-04-23T00:00:00.000Z	46 \| good	5.564 \| good	17.37 \| good	50.097 \| good	0.671 \| good	6.962 \| good	0.259 \| good
2026-04-23T01:00:00.000Z	44 \| good	3.914 \| good	26.053 \| good	47.764 \| good	0.811 \| good	7.198 \| good	0.27 \| good
2026-04-23T02:00:00.000Z	40 \| good	4.206 \| good	25.931 \| good	43.333 \| good	0.757 \| good	8.45 \| good	0.27 \| good
2026-04-23T03:00:00.000Z	44 \| good	8.069 \| good	31.528 \| good	42.267 \| good	0.574 \| good	8.106 \| good	0.314 \| good
2026-04-23T04:00:00.000Z	60 \| moderate	14.482 \| fine	42.419 \| good	32.008 \| good	0.578 \| good	12.59 \| good	0.367 \| good
2026-04-23T05:00:00.000Z	52 \| moderate	10.077 \| good	27.542 \| good	37.602 \| good	0.399 \| good	14.618 \| good	0.35 \| good
2026-04-23T06:00:00.000Z	29 \| good	4.006 \| good	30.962 \| good	30.661 \| good	0.407 \| good	10.699 \| good	0.365 \| good
2026-04-23T07:00:00.000Z	30 \| good	5.197 \| good	16.542 \| good	31.959 \| good	0.527 \| good	9.809 \| good	0.31 \| good
2026-04-23T08:00:00.000Z	49 \| good	9.138 \| good	36.046 \| good	31.001 \| good	0.638 \| good	10.621 \| good	0.301 \| good
2026-04-23T09:00:00.000Z	40 \| good	6.492 \| good	42.958 \| good	15.708 \| good	0.754 \| good	10.929 \| good	0.302 \| good
2026-04-23T10:00:00.000Z	58 \| moderate	12.672 \| fine	57.797 \| fine	13.62 \| good	0.739 \| good	11.102 \| good	0.256 \| good
2026-04-23T11:00:00.000Z	73 \| moderate	20.667 \| fine	86.681 \| fine	22.114 \| good	0.73 \| good	14.432 \| good	0.283 \| good
2026-04-23T12:00:00.000Z	60 \| moderate	13.567 \| fine	57.52 \| fine	17.157 \| good	0.733 \| good	16.325 \| good	0.365 \| good
2026-04-23T13:00:00.000Z	58 \| moderate	13.338 \| fine	48.082 \| good	17.086 \| good	0.81 \| good	9.257 \| good	0.314 \| good
2026-04-23T14:00:00.000Z	56 \| moderate	12.428 \| fine	61.205 \| fine	24.089 \| good	0.804 \| good	9.081 \| good	0.295 \| good
2026-04-23T15:00:00.000Z	56 \| moderate	12.072 \| good	40.168 \| good	24.999 \| good	0.819 \| good	8.384 \| good	0.277 \| good
2026-04-23T16:00:00.000Z	58 \| moderate	12.928 \| fine	45.154 \| good	32.114 \| good	0.973 \| good	7.749 \| good	0.26 \| good
2026-04-23T17:00:00.000Z	56 \| moderate	12.187 \| fine	51.76 \| good	43.78 \| good	0.975 \| good	5.847 \| good	0.281 \| good
2026-04-23T18:00:00.000Z	58 \| moderate	13.133 \| fine	43.327 \| good	45.263 \| good	0.907 \| good	5.117 \| good	0.252 \| good
2026-04-23T19:00:00.000Z	49 \| good	8.635 \| good	28.748 \| good	48.323 \| good	0.755 \| good	4.893 \| good	0.203 \| good
2026-04-23T20:00:00.000Z	45 \| good	8.457 \| good	28.641 \| good	49.213 \| good	1.554 \| good	5.41 \| good	0.191 \| good
2026-04-23T21:00:00.000Z	46 \| good	5.523 \| good	24.775 \| good	50.007 \| good	1.829 \| good	5.136 \| good	0.192 \| good
2026-04-23T22:00:00.000Z	49 \| good	5.324 \| good	27.145 \| good	52.989 \| good	0.726 \| good	4.424 \| good	0.203 \| good
2026-04-23T23:00:00.000Z	45 \| good	6.596 \| good	32.764 \| good	49.432 \| good	0.629 \| good	3.855 \| good	0.203 \| good
2026-04-24T00:00:00.000Z	46 \| good	6.826 \| good	32.585 \| good	49.855 \| good	0.601 \| good	4.15 \| good	0.202 \| good
2026-04-24T01:00:00.000Z	44 \| good	6.758 \| good	40.326 \| good	47.629 \| good	0.597 \| good	5.564 \| good	0.255 \| good
2026-04-24T02:00:00.000Z	49 \| good	8.582 \| good	36.807 \| good	47.773 \| good	0.596 \| good	11.073 \| good	0.373 \| good
2026-04-24T03:00:00.000Z	38 \| good	7.274 \| good	31.89 \| good	31.863 \| good	0.554 \| good	3.852 \| good	0.178 \| good
2026-04-24T03:00:00.000Z	49 \| good	8.582 \| good	36.807 \| good	47.773 \| good	0.596 \| good	11.073 \| good	0.373 \| good
2026-04-24T04:00:00.000Z	38 \| good	6.815 \| good	29.924 \| good	26.86 \| good	0.574 \| good	3.455 \| good	0.177 \| good
2026-04-24T05:00:00.000Z	33 \| good	6.104 \| good	27.038 \| good	36.323 \| good	0.633 \| good	3.177 \| good	0.176 \| good
2026-04-24T06:00:00.000Z	35 \| good	5.095 \| good	21.93 \| good	37.793 \| good	0.693 \| good	2.898 \| good	0.174 \| good
2026-04-24T07:00:00.000Z	33 \| good	4.729 \| good	20.839 \| good	35.613 \| good	0.806 \| good	2.716 \| good	0.174 \| good
2026-04-24T08:00:00.000Z	32 \| good	4.075 \| good	17.93 \| good	34.854 \| good	0.919 \| good	2.534 \| good	0.174 \| good
2026-04-24T09:00:00.000Z	34 \| good	3.723 \| good	16.086 \| good	36.632 \| good	1.033 \| good	2.352 \| good	0.173 \| good
2026-04-24T10:00:00.000Z	31 \| good	3.441 \| good	14.981 \| good	33.764 \| good	1.062 \| good	2.522 \| good	0.173 \| good
2026-04-24T11:00:00.000Z	31 \| good	2.748 \| good	10.958 \| good	33.047 \| good	1.091 \| good	2.691 \| good	0.173 \| good
2026-04-24T12:00:00.000Z	32 \| good	3.017 \| good	12.105 \| good	34.871 \| good	1.121 \| good	2.86 \| good	0.173 \| good
2026-04-24T13:00:00.000Z	34 \| good	3.632 \| good	16.018 \| good	37.263 \| good	1.051 \| good	2.479 \| good	0.169 \| good
2026-04-24T14:00:00.000Z	35 \| good	3.181 \| good	13.954 \| good	38.194 \| good	0.981 \| good	2.098 \| good	0.165 \| good
2026-04-24T15:00:00.000Z	34 \| good	4.468 \| good	19.138 \| good	37.379 \| good	0.911 \| good	1.717 \| good	0.161 \| good
2026-04-24T16:00:00.000Z	38 \| good	4.37 \| good	19.087 \| good	40.596 \| good	0.888 \| good	1.603 \| good	0.16 \| good
2026-04-24T17:00:00.000Z	38 \| good	4.424 \| good	19.112 \| good	40.895 \| good	0.864 \| good	1.488 \| good	0.159 \| good
2026-04-24T18:00:00.000Z	39 \| good	5.444 \| good	23.037 \| good	42.042 \| good	0.841 \| good	1.374 \| good	0.158 \| good
2026-04-24T19:00:00.000Z	44 \| good	7.03 \| good	31.415 \| good	48.401 \| good	0.815 \| good	1.706 \| good	0.164 \| good
2026-04-24T20:00:00.000Z	44 \| good	7.197 \| good	31.462 \| good	48.168 \| good	0.79 \| good	2.038 \| good	0.17 \| good
2026-04-24T21:00:00.000Z	44 \| good	6.245 \| good	27.542 \| good	47.934 \| good	0.764 \| good	2.369 \| good	0.177 \| good
2026-04-24T22:00:00.000Z	47 \| good	5.144 \| good	22.584 \| good	50.723 \| good	0.669 \| good	3.066 \| good	0.182 \| good
2026-04-24T23:00:00.000Z	45 \| good	3.86 \| good	17.116 \| good	49.205 \| good	0.573 \| good	3.764 \| good	0.187 \| good
2026-04-25T00:00:00.000Z	41 \| good	2.264 \| good	9.258 \| good	43.865 \| good	0.478 \| good	4.461 \| good	0.193 \| good
2026-04-25T01:00:00.000Z	32 \| good	3.77 \| good	16.152 \| good	34.769 \| good	0.407 \| good	4.407 \| good	0.195 \| good
2026-04-25T02:00:00.000Z	37 \| good	6.031 \| good	26.738 \| good	39.637 \| good	0.336 \| good	4.354 \| good	0.197 \| good
2026-04-25T03:00:00.000Z	38 \| good	5.372 \| good	23.046 \| good	40.856 \| good	0.264 \| good	4.3 \| good	0.198 \| good
2026-04-25T04:00:00.000Z	35 \| good	3.963 \| good	17.068 \| good	37.845 \| good	0.223 \| good	3.431 \| good	0.189 \| good
2026-04-25T05:00:00.000Z	34 \| good	4.344 \| good	18.93 \| good	36.506 \| good	0.182 \| good	2.562 \| good	0.18 \| good
2026-04-25T06:00:00.000Z	32 \| good	4.097 \| good	17.966 \| good	35.328 \| good	0.141 \| good	1.693 \| good	0.17 \| good
2026-04-25T07:00:00.000Z	37 \| good	4.346 \| good	18.93 \| good	40.247 \| good	0.155 \| good	1.44 \| good	0.167 \| good
2026-04-25T08:00:00.000Z	34 \| good	4.499 \| good	19.243 \| good	36.537 \| good	0.168 \| good	1.188 \| good	0.164 \| good
2026-04-25T09:00:00.000Z	30 \| good	4.356 \| good	18.93 \| good	31.59 \| good	0.182 \| good	0.935 \| good	0.161 \| good
2026-04-25T10:00:00.000Z	28 \| good	3.826 \| good	16.895 \| good	29.883 \| good	0.188 \| good	0.913 \| good	0.161 \| good
2026-04-25T11:00:00.000Z	26 \| good	4.271 \| good	18.881 \| good	27.907 \| good	0.195 \| good	0.891 \| good	0.16 \| good
2026-04-25T12:00:00.000Z	34 \| good	2.878 \| good	11.898 \| good	37.345 \| good	0.201 \| good	0.869 \| good	0.16 \| good
2026-04-25T13:00:00.000Z	38 \| good	4.621 \| good	19.948 \| good	40.94 \| good	0.202 \| good	0.842 \| good	0.161 \| good
2026-04-25T14:00:00.000Z	40 \| good	5.922 \| good	26.655 \| good	43.144 \| good	0.203 \| good	0.815 \| good	0.163 \| good
2026-04-25T15:00:00.000Z	43 \| good	7.064 \| good	31.106 \| good	46.18 \| good	0.204 \| good	0.789 \| good	0.164 \| good
2026-04-25T16:00:00.000Z	44 \| good	6.196 \| good	27.846 \| good	47.22 \| good	0.191 \| good	0.69 \| good	0.162 \| good
2026-04-25T17:00:00.000Z	44 \| good	6.241 \| good	27.974 \| good	47.413 \| good	0.178 \| good	0.591 \| good	0.16 \| good
2026-04-25T18:00:00.000Z	44 \| good	6.275 \| good	28.002 \| good	48.24 \| good	0.165 \| good	0.493 \| good	0.158 \| good
2026-04-25T19:00:00.000Z	48 \| good	7.223 \| good	31.871 \| good	51.748 \| good	0.154 \| good	0.531 \| good	0.159 \| good
2026-04-25T20:00:00.000Z	50 \| good	8.064 \| good	35.102 \| good	53.835 \| good	0.143 \| good	0.569 \| good	0.159 \| good
2026-04-25T21:00:00.000Z	51 \| moderate	8.902 \| good	39.214 \| good	55.136 \| fine	0.133 \| good	0.607 \| good	0.159 \| good
2026-04-25T22:00:00.000Z	54 \| moderate	7.894 \| good	34.271 \| good	55.72 \| fine	0.15 \| good	1.114 \| good	0.163 \| good
2026-04-25T23:00:00.000Z	50 \| good	8.238 \| good	36.069 \| good	54.157 \| good	0.167 \| good	1.621 \| good	0.167 \| good
2026-04-26T00:00:00.000Z	40 \| good	5.331 \| good	5.604 \| good	42.884 \| good	0.183 \| good	2.087 \| good	0.17 \| good
2026-04-26T01:00:00.000Z	32 \| good	3.353 \| good	14.969 \| good	35.463 \| good	0.228 \| good	2.354 \| good	0.17 \| good
2026-04-26T02:00:00.000Z	33 \| good	6.058 \| good	26.819 \| good	32.119 \| good	0.272 \| good	2.581 \| good	0.169 \| good
2026-04-26T03:00:00.000Z	33 \| good	6.159 \| good	26.97 \| good	31.754 \| good	0.315 \| good	2.807 \| good	0.169 \| good

Egelston

Get reliable air quality data to drive your business

Egelston, Michigan air quality map: Track AQI near you

0.37ppm

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 2026-04-23.

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 06:00:00 on 2026-04-23.

What is the current air quality in Egelston, Michigan?

The current air quality in Egelston, Michigan is 49, 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 8.582 μg/m³.

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

The current PM₁₀ concentration at Egelston, Michigan is 36.807 μg/m³.

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

The current carbon monoxide (CO) concentration at Egelston, Michigan is 0.373 ppm.

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

The current sulfur dioxide (SO₂) concentration at Egelston, Michigan is 0.596 ppb.

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

The current ozone (O₃) concentration at Egelston, Michigan is 47.773 ppm.

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

The current nitrogen dioxide (NO₂) concentration at Egelston, Michigan is 11.073 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-04-22T04:00:00.000Z	52 \| moderate	10.017 \| good	36.227 \| good	41.635 \| good	0.602 \| good	12.573 \| good	0.47 \| good
2026-04-22T05:00:00.000Z	56 \| moderate	11.546 \| good	33.648 \| good	34.542 \| good	0.587 \| good	12.672 \| good	0.399 \| good
2026-04-22T06:00:00.000Z	49 \| good	8.52 \| good	34.637 \| good	31.287 \| good	0.641 \| good	13.623 \| good	0.397 \| good
2026-04-22T07:00:00.000Z	49 \| good	8.736 \| good	32.427 \| good	19.47 \| good	0.694 \| good	12.883 \| good	0.384 \| good
2026-04-22T08:00:00.000Z	44 \| good	8.114 \| good	24.85 \| good	19.006 \| good	0.57 \| good	9.233 \| good	0.382 \| good
2026-04-22T09:00:00.000Z	52 \| moderate	9.595 \| good	33.667 \| good	28.229 \| good	0.544 \| good	11.21 \| good	0.341 \| good
2026-04-22T10:00:00.000Z	44 \| good	7.723 \| good	31.174 \| good	13.722 \| good	0.569 \| good	11.123 \| good	0.406 \| good
2026-04-22T11:00:00.000Z	52 \| moderate	9.733 \| good	35.497 \| good	20.779 \| good	0.577 \| good	13.09 \| good	0.422 \| good
2026-04-22T12:00:00.000Z	52 \| moderate	9.855 \| good	36.397 \| good	14.904 \| good	0.584 \| good	14.423 \| good	0.49 \| good
2026-04-22T13:00:00.000Z	44 \| good	8.481 \| good	27.985 \| good	25.358 \| good	0.491 \| good	9.748 \| good	0.419 \| good
2026-04-22T14:00:00.000Z	44 \| good	8.273 \| good	28.392 \| good	35.922 \| good	0.491 \| good	7.703 \| good	0.295 \| good
2026-04-22T15:00:00.000Z	44 \| good	7.514 \| good	30.356 \| good	32.299 \| good	0.569 \| good	4.668 \| good	0.217 \| good
2026-04-22T16:00:00.000Z	44 \| good	8.341 \| good	30.651 \| good	45.561 \| good	0.613 \| good	4.141 \| good	0.197 \| good
2026-04-22T17:00:00.000Z	44 \| good	8.256 \| good	33.792 \| good	41.23 \| good	0.653 \| good	4.349 \| good	0.215 \| good
2026-04-22T18:00:00.000Z	44 \| good	6.413 \| good	14.568 \| good	47.479 \| good	0.652 \| good	4.449 \| good	0.217 \| good
2026-04-22T19:00:00.000Z	48 \| good	4.713 \| good	19.468 \| good	51.927 \| good	0.697 \| good	5.872 \| good	0.205 \| good
2026-04-22T20:00:00.000Z	46 \| good	4.01 \| good	12.246 \| good	49.993 \| good	0.787 \| good	7.093 \| good	0.211 \| good
2026-04-22T21:00:00.000Z	40 \| good	3.637 \| good	13.939 \| good	43.276 \| good	0.793 \| good	7.238 \| good	0.26 \| good
2026-04-22T22:00:00.000Z	43 \| good	3.09 \| good	14.796 \| good	46.431 \| good	0.631 \| good	7.638 \| good	0.26 \| good
2026-04-22T23:00:00.000Z	44 \| good	5.75 \| good	20.007 \| good	46.739 \| good	0.739 \| good	6.754 \| good	0.268 \| good
2026-04-23T00:00:00.000Z	46 \| good	5.564 \| good	17.37 \| good	50.097 \| good	0.671 \| good	6.962 \| good	0.259 \| good
2026-04-23T01:00:00.000Z	44 \| good	3.914 \| good	26.053 \| good	47.764 \| good	0.811 \| good	7.198 \| good	0.27 \| good
2026-04-23T02:00:00.000Z	40 \| good	4.206 \| good	25.931 \| good	43.333 \| good	0.757 \| good	8.45 \| good	0.27 \| good
2026-04-23T03:00:00.000Z	44 \| good	8.069 \| good	31.528 \| good	42.267 \| good	0.574 \| good	8.106 \| good	0.314 \| good
2026-04-23T04:00:00.000Z	60 \| moderate	14.482 \| fine	42.419 \| good	32.008 \| good	0.578 \| good	12.59 \| good	0.367 \| good
2026-04-23T05:00:00.000Z	52 \| moderate	10.077 \| good	27.542 \| good	37.602 \| good	0.399 \| good	14.618 \| good	0.35 \| good
2026-04-23T06:00:00.000Z	29 \| good	4.006 \| good	30.962 \| good	30.661 \| good	0.407 \| good	10.699 \| good	0.365 \| good
2026-04-23T07:00:00.000Z	30 \| good	5.197 \| good	16.542 \| good	31.959 \| good	0.527 \| good	9.809 \| good	0.31 \| good
2026-04-23T08:00:00.000Z	49 \| good	9.138 \| good	36.046 \| good	31.001 \| good	0.638 \| good	10.621 \| good	0.301 \| good
2026-04-23T09:00:00.000Z	40 \| good	6.492 \| good	42.958 \| good	15.708 \| good	0.754 \| good	10.929 \| good	0.302 \| good
2026-04-23T10:00:00.000Z	58 \| moderate	12.672 \| fine	57.797 \| fine	13.62 \| good	0.739 \| good	11.102 \| good	0.256 \| good
2026-04-23T11:00:00.000Z	73 \| moderate	20.667 \| fine	86.681 \| fine	22.114 \| good	0.73 \| good	14.432 \| good	0.283 \| good
2026-04-23T12:00:00.000Z	60 \| moderate	13.567 \| fine	57.52 \| fine	17.157 \| good	0.733 \| good	16.325 \| good	0.365 \| good
2026-04-23T13:00:00.000Z	58 \| moderate	13.338 \| fine	48.082 \| good	17.086 \| good	0.81 \| good	9.257 \| good	0.314 \| good
2026-04-23T14:00:00.000Z	56 \| moderate	12.428 \| fine	61.205 \| fine	24.089 \| good	0.804 \| good	9.081 \| good	0.295 \| good
2026-04-23T15:00:00.000Z	56 \| moderate	12.072 \| good	40.168 \| good	24.999 \| good	0.819 \| good	8.384 \| good	0.277 \| good
2026-04-23T16:00:00.000Z	58 \| moderate	12.928 \| fine	45.154 \| good	32.114 \| good	0.973 \| good	7.749 \| good	0.26 \| good
2026-04-23T17:00:00.000Z	56 \| moderate	12.187 \| fine	51.76 \| good	43.78 \| good	0.975 \| good	5.847 \| good	0.281 \| good
2026-04-23T18:00:00.000Z	58 \| moderate	13.133 \| fine	43.327 \| good	45.263 \| good	0.907 \| good	5.117 \| good	0.252 \| good
2026-04-23T19:00:00.000Z	49 \| good	8.635 \| good	28.748 \| good	48.323 \| good	0.755 \| good	4.893 \| good	0.203 \| good
2026-04-23T20:00:00.000Z	45 \| good	8.457 \| good	28.641 \| good	49.213 \| good	1.554 \| good	5.41 \| good	0.191 \| good
2026-04-23T21:00:00.000Z	46 \| good	5.523 \| good	24.775 \| good	50.007 \| good	1.829 \| good	5.136 \| good	0.192 \| good
2026-04-23T22:00:00.000Z	49 \| good	5.324 \| good	27.145 \| good	52.989 \| good	0.726 \| good	4.424 \| good	0.203 \| good
2026-04-23T23:00:00.000Z	45 \| good	6.596 \| good	32.764 \| good	49.432 \| good	0.629 \| good	3.855 \| good	0.203 \| good
2026-04-24T00:00:00.000Z	46 \| good	6.826 \| good	32.585 \| good	49.855 \| good	0.601 \| good	4.15 \| good	0.202 \| good
2026-04-24T01:00:00.000Z	44 \| good	6.758 \| good	40.326 \| good	47.629 \| good	0.597 \| good	5.564 \| good	0.255 \| good
2026-04-24T02:00:00.000Z	49 \| good	8.582 \| good	36.807 \| good	47.773 \| good	0.596 \| good	11.073 \| good	0.373 \| good
2026-04-24T03:00:00.000Z	38 \| good	7.274 \| good	31.89 \| good	31.863 \| good	0.554 \| good	3.852 \| good	0.178 \| good
2026-04-24T03:00:00.000Z	49 \| good	8.582 \| good	36.807 \| good	47.773 \| good	0.596 \| good	11.073 \| good	0.373 \| good
2026-04-24T04:00:00.000Z	38 \| good	6.815 \| good	29.924 \| good	26.86 \| good	0.574 \| good	3.455 \| good	0.177 \| good
2026-04-24T05:00:00.000Z	33 \| good	6.104 \| good	27.038 \| good	36.323 \| good	0.633 \| good	3.177 \| good	0.176 \| good
2026-04-24T06:00:00.000Z	35 \| good	5.095 \| good	21.93 \| good	37.793 \| good	0.693 \| good	2.898 \| good	0.174 \| good
2026-04-24T07:00:00.000Z	33 \| good	4.729 \| good	20.839 \| good	35.613 \| good	0.806 \| good	2.716 \| good	0.174 \| good
2026-04-24T08:00:00.000Z	32 \| good	4.075 \| good	17.93 \| good	34.854 \| good	0.919 \| good	2.534 \| good	0.174 \| good
2026-04-24T09:00:00.000Z	34 \| good	3.723 \| good	16.086 \| good	36.632 \| good	1.033 \| good	2.352 \| good	0.173 \| good
2026-04-24T10:00:00.000Z	31 \| good	3.441 \| good	14.981 \| good	33.764 \| good	1.062 \| good	2.522 \| good	0.173 \| good
2026-04-24T11:00:00.000Z	31 \| good	2.748 \| good	10.958 \| good	33.047 \| good	1.091 \| good	2.691 \| good	0.173 \| good
2026-04-24T12:00:00.000Z	32 \| good	3.017 \| good	12.105 \| good	34.871 \| good	1.121 \| good	2.86 \| good	0.173 \| good
2026-04-24T13:00:00.000Z	34 \| good	3.632 \| good	16.018 \| good	37.263 \| good	1.051 \| good	2.479 \| good	0.169 \| good
2026-04-24T14:00:00.000Z	35 \| good	3.181 \| good	13.954 \| good	38.194 \| good	0.981 \| good	2.098 \| good	0.165 \| good
2026-04-24T15:00:00.000Z	34 \| good	4.468 \| good	19.138 \| good	37.379 \| good	0.911 \| good	1.717 \| good	0.161 \| good
2026-04-24T16:00:00.000Z	38 \| good	4.37 \| good	19.087 \| good	40.596 \| good	0.888 \| good	1.603 \| good	0.16 \| good
2026-04-24T17:00:00.000Z	38 \| good	4.424 \| good	19.112 \| good	40.895 \| good	0.864 \| good	1.488 \| good	0.159 \| good
2026-04-24T18:00:00.000Z	39 \| good	5.444 \| good	23.037 \| good	42.042 \| good	0.841 \| good	1.374 \| good	0.158 \| good
2026-04-24T19:00:00.000Z	44 \| good	7.03 \| good	31.415 \| good	48.401 \| good	0.815 \| good	1.706 \| good	0.164 \| good
2026-04-24T20:00:00.000Z	44 \| good	7.197 \| good	31.462 \| good	48.168 \| good	0.79 \| good	2.038 \| good	0.17 \| good
2026-04-24T21:00:00.000Z	44 \| good	6.245 \| good	27.542 \| good	47.934 \| good	0.764 \| good	2.369 \| good	0.177 \| good
2026-04-24T22:00:00.000Z	47 \| good	5.144 \| good	22.584 \| good	50.723 \| good	0.669 \| good	3.066 \| good	0.182 \| good
2026-04-24T23:00:00.000Z	45 \| good	3.86 \| good	17.116 \| good	49.205 \| good	0.573 \| good	3.764 \| good	0.187 \| good
2026-04-25T00:00:00.000Z	41 \| good	2.264 \| good	9.258 \| good	43.865 \| good	0.478 \| good	4.461 \| good	0.193 \| good
2026-04-25T01:00:00.000Z	32 \| good	3.77 \| good	16.152 \| good	34.769 \| good	0.407 \| good	4.407 \| good	0.195 \| good
2026-04-25T02:00:00.000Z	37 \| good	6.031 \| good	26.738 \| good	39.637 \| good	0.336 \| good	4.354 \| good	0.197 \| good
2026-04-25T03:00:00.000Z	38 \| good	5.372 \| good	23.046 \| good	40.856 \| good	0.264 \| good	4.3 \| good	0.198 \| good
2026-04-25T04:00:00.000Z	35 \| good	3.963 \| good	17.068 \| good	37.845 \| good	0.223 \| good	3.431 \| good	0.189 \| good
2026-04-25T05:00:00.000Z	34 \| good	4.344 \| good	18.93 \| good	36.506 \| good	0.182 \| good	2.562 \| good	0.18 \| good
2026-04-25T06:00:00.000Z	32 \| good	4.097 \| good	17.966 \| good	35.328 \| good	0.141 \| good	1.693 \| good	0.17 \| good
2026-04-25T07:00:00.000Z	37 \| good	4.346 \| good	18.93 \| good	40.247 \| good	0.155 \| good	1.44 \| good	0.167 \| good
2026-04-25T08:00:00.000Z	34 \| good	4.499 \| good	19.243 \| good	36.537 \| good	0.168 \| good	1.188 \| good	0.164 \| good
2026-04-25T09:00:00.000Z	30 \| good	4.356 \| good	18.93 \| good	31.59 \| good	0.182 \| good	0.935 \| good	0.161 \| good
2026-04-25T10:00:00.000Z	28 \| good	3.826 \| good	16.895 \| good	29.883 \| good	0.188 \| good	0.913 \| good	0.161 \| good
2026-04-25T11:00:00.000Z	26 \| good	4.271 \| good	18.881 \| good	27.907 \| good	0.195 \| good	0.891 \| good	0.16 \| good
2026-04-25T12:00:00.000Z	34 \| good	2.878 \| good	11.898 \| good	37.345 \| good	0.201 \| good	0.869 \| good	0.16 \| good
2026-04-25T13:00:00.000Z	38 \| good	4.621 \| good	19.948 \| good	40.94 \| good	0.202 \| good	0.842 \| good	0.161 \| good
2026-04-25T14:00:00.000Z	40 \| good	5.922 \| good	26.655 \| good	43.144 \| good	0.203 \| good	0.815 \| good	0.163 \| good
2026-04-25T15:00:00.000Z	43 \| good	7.064 \| good	31.106 \| good	46.18 \| good	0.204 \| good	0.789 \| good	0.164 \| good
2026-04-25T16:00:00.000Z	44 \| good	6.196 \| good	27.846 \| good	47.22 \| good	0.191 \| good	0.69 \| good	0.162 \| good
2026-04-25T17:00:00.000Z	44 \| good	6.241 \| good	27.974 \| good	47.413 \| good	0.178 \| good	0.591 \| good	0.16 \| good
2026-04-25T18:00:00.000Z	44 \| good	6.275 \| good	28.002 \| good	48.24 \| good	0.165 \| good	0.493 \| good	0.158 \| good
2026-04-25T19:00:00.000Z	48 \| good	7.223 \| good	31.871 \| good	51.748 \| good	0.154 \| good	0.531 \| good	0.159 \| good
2026-04-25T20:00:00.000Z	50 \| good	8.064 \| good	35.102 \| good	53.835 \| good	0.143 \| good	0.569 \| good	0.159 \| good
2026-04-25T21:00:00.000Z	51 \| moderate	8.902 \| good	39.214 \| good	55.136 \| fine	0.133 \| good	0.607 \| good	0.159 \| good
2026-04-25T22:00:00.000Z	54 \| moderate	7.894 \| good	34.271 \| good	55.72 \| fine	0.15 \| good	1.114 \| good	0.163 \| good
2026-04-25T23:00:00.000Z	50 \| good	8.238 \| good	36.069 \| good	54.157 \| good	0.167 \| good	1.621 \| good	0.167 \| good
2026-04-26T00:00:00.000Z	40 \| good	5.331 \| good	5.604 \| good	42.884 \| good	0.183 \| good	2.087 \| good	0.17 \| good
2026-04-26T01:00:00.000Z	32 \| good	3.353 \| good	14.969 \| good	35.463 \| good	0.228 \| good	2.354 \| good	0.17 \| good
2026-04-26T02:00:00.000Z	33 \| good	6.058 \| good	26.819 \| good	32.119 \| good	0.272 \| good	2.581 \| good	0.169 \| good
2026-04-26T03:00:00.000Z	33 \| good	6.159 \| good	26.97 \| good	31.754 \| good	0.315 \| good	2.807 \| good	0.169 \| 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 ozone (O₃) in Egelston, Michigan?

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