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

The current PM10 concentration at Egelston, Michigan is 32.08 μg/m3.

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

The current sulfur dioxide (SO2) concentration at Egelston, Michigan is 0.52 ppb.

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

The current ozone (O3) concentration at Egelston, Michigan is 18.355 ppm.

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

The current nitrogen dioxide (NO2) concentration at Egelston, Michigan is 4.894 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 7.131 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)

2.57 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

13.78 μg/m³

155

255

425

605+

Ozone (O₃)

24.48 ppb

201

201+

Sulfur Dioxide (SO₂)

0.76 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

7.85 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.22 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

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
2025-11-11T18:00:00.000Z	22 \| good	4.467 \| good	21.654 \| good	19.606 \| good	0.541 \| good	7.477 \| good	0.2 \| good
2025-11-11T19:00:00.000Z	33 \| good	5.879 \| good	18.594 \| good	22.384 \| good	0.603 \| good	6.2 \| good	0.203 \| good
2025-11-11T20:00:00.000Z	27 \| good	4.539 \| good	20.175 \| good	20.682 \| good	0.552 \| good	6.989 \| good	0.187 \| good
2025-11-11T21:00:00.000Z	27 \| good	4.68 \| good	20.32 \| good	22.386 \| good	0.495 \| good	7.036 \| good	0.199 \| good
2025-11-11T22:00:00.000Z	22 \| good	4.179 \| good	21.15 \| good	24.072 \| good	0.53 \| good	6.109 \| good	0.216 \| good
2025-11-11T23:00:00.000Z	22 \| good	4.294 \| good	22.273 \| good	23.567 \| good	0.452 \| good	6.041 \| good	0.215 \| good
2025-11-12T00:00:00.000Z	22 \| good	4.267 \| good	16.579 \| good	23.159 \| good	0.481 \| good	5.986 \| good	0.216 \| good
2025-11-12T01:00:00.000Z	27 \| good	4.701 \| good	26.446 \| good	21.798 \| good	0.532 \| good	5.412 \| good	0.215 \| good
2025-11-12T02:00:00.000Z	22 \| good	3.895 \| good	18.177 \| good	21.719 \| good	0.558 \| good	4.771 \| good	0.198 \| good
2025-11-12T03:00:00.000Z	22 \| good	4.482 \| good	21.588 \| good	21.481 \| good	0.556 \| good	4.66 \| good	0.199 \| good
2025-11-12T04:00:00.000Z	27 \| good	4.971 \| good	24.761 \| good	20.76 \| good	0.555 \| good	6.697 \| good	0.19 \| good
2025-11-12T05:00:00.000Z	27 \| good	5.251 \| good	20.785 \| good	20.997 \| good	0.505 \| good	6.325 \| good	0.247 \| good
2025-11-12T06:00:00.000Z	33 \| good	5.911 \| good	20.29 \| good	20.997 \| good	0.495 \| good	6.212 \| good	0.175 \| good
2025-11-12T07:00:00.000Z	38 \| good	7.131 \| good	32.08 \| good	18.355 \| good	0.52 \| good	4.894 \| good	0.179 \| good
2025-11-12T08:00:00.000Z	33 \| good	5.906 \| good	27.993 \| good	19.263 \| good	0.493 \| good	3.385 \| good	0.176 \| good
2025-11-12T09:00:00.000Z	27 \| good	5.436 \| good	22.42 \| good	19.594 \| good	0.465 \| good	3.968 \| good	0.121 \| good
2025-11-12T10:00:00.000Z	27 \| good	4.914 \| good	18.283 \| good	17.397 \| good	0.441 \| good	3.971 \| good	0.186 \| good
2025-11-12T11:00:00.000Z	22 \| good	4.208 \| good	20.809 \| good	20.442 \| good	0.454 \| good	3.371 \| good	0.2 \| good
2025-11-12T12:00:00.000Z	27 \| good	5.198 \| good	16.433 \| good	21.475 \| good	0.502 \| good	4.623 \| good	0.213 \| good
2025-11-12T13:00:00.000Z	27 \| good	4.781 \| good	17.289 \| good	18.358 \| good	0.502 \| good	4.198 \| good	0.215 \| good
2025-11-12T14:00:00.000Z	19 \| good	3.22 \| good	15.049 \| good	20.815 \| good	0.514 \| good	4.11 \| good	0.206 \| good
2025-11-12T15:00:00.000Z	21 \| good	3.174 \| good	10.082 \| good	23.316 \| good	0.541 \| good	3.394 \| good	0.208 \| good
2025-11-12T16:00:00.000Z	22 \| good	4.438 \| good	21.024 \| good	23.224 \| good	0.62 \| good	4.401 \| good	0.19 \| good
2025-11-12T17:00:00.000Z	22 \| good	4.056 \| good	21.825 \| good	18.697 \| good	0.545 \| good	4.444 \| good	0.2 \| good
2025-11-12T18:00:00.000Z	21 \| good	2.706 \| good	12.955 \| good	23.262 \| good	0.585 \| good	2.511 \| good	0.201 \| good
2025-11-12T19:00:00.000Z	24 \| good	3.39 \| good	10.6 \| good	25.509 \| good	0.545 \| good	2.333 \| good	0.231 \| good
2025-11-12T20:00:00.000Z	25 \| good	2.698 \| good	10.56 \| good	26.874 \| good	0.526 \| good	2.81 \| good	0.195 \| good
2025-11-12T21:00:00.000Z	29 \| good	2.69 \| good	11.484 \| good	31.218 \| good	0.561 \| good	3.479 \| good	0.202 \| good
2025-11-12T22:00:00.000Z	29 \| good	2.809 \| good	11.472 \| good	30.829 \| good	0.536 \| good	3.728 \| good	0.203 \| good
2025-11-12T23:00:00.000Z	29 \| good	2.845 \| good	10.773 \| good	31.25 \| good	0.575 \| good	6.477 \| good	0.226 \| good
2025-11-13T00:00:00.000Z	29 \| good	2.723 \| good	9.955 \| good	31.374 \| good	0.501 \| good	8.325 \| good	0.342 \| good
2025-11-13T01:00:00.000Z	26 \| good	3.002 \| good	9.845 \| good	28.426 \| good	0.513 \| good	8.552 \| good	0.285 \| good
2025-11-13T02:00:00.000Z	27 \| good	2.946 \| good	13.088 \| good	29.314 \| good	0.626 \| good	5.787 \| good	0.3 \| good
2025-11-13T03:00:00.000Z	26 \| good	2.944 \| good	13.56 \| good	27.679 \| good	0.58 \| good	4.521 \| good	0.242 \| good
2025-11-13T04:00:00.000Z	25 \| good	2.963 \| good	11.971 \| good	26.976 \| good	0.581 \| good	3.843 \| good	0.241 \| good
2025-11-13T05:00:00.000Z	22 \| good	2.917 \| good	12.258 \| good	24.133 \| good	0.657 \| good	3.768 \| good	0.225 \| good
2025-11-13T06:00:00.000Z	24 \| good	2.655 \| good	13.355 \| good	25.926 \| good	0.665 \| good	6.35 \| good	0.271 \| good
2025-11-13T07:00:00.000Z	20 \| good	2.851 \| good	14.23 \| good	22.131 \| good	0.642 \| good	8.379 \| good	0.27 \| good
2025-11-13T08:00:00.000Z	21 \| good	2.084 \| good	11.958 \| good	23.355 \| good	0.641 \| good	5.33 \| good	0.243 \| good
2025-11-13T09:00:00.000Z	20 \| good	3.054 \| good	9.599 \| good	21.561 \| good	0.727 \| good	5.697 \| good	0.199 \| good
2025-11-13T10:00:00.000Z	20 \| good	2.854 \| good	11.931 \| good	21.779 \| good	0.602 \| good	6.533 \| good	0.255 \| good
2025-11-13T11:00:00.000Z	19 \| good	2.573 \| good	10.452 \| good	19.608 \| good	0.499 \| good	11.108 \| good	0.245 \| good
2025-11-13T12:00:00.000Z	21 \| good	3.301 \| good	13 \| good	23.183 \| good	0.517 \| good	14.139 \| good	0.72 \| good
2025-11-13T13:00:00.000Z	23 \| good	2.917 \| good	11.376 \| good	24.983 \| good	0.576 \| good	14.817 \| good	0.395 \| good
2025-11-13T14:00:00.000Z	25 \| good	2.41 \| good	9.136 \| good	26.635 \| good	0.491 \| good	11.446 \| good	0.298 \| good
2025-11-13T15:00:00.000Z	21 \| good	2.737 \| good	12.702 \| good	22.552 \| good	0.675 \| good	8.164 \| good	0.267 \| good
2025-11-13T16:00:00.000Z	22 \| good	2.569 \| good	13.78 \| good	24.482 \| good	0.762 \| good	7.846 \| good	0.221 \| good
2025-11-13T17:00:00.000Z	22 \| good	2.569 \| good	13.78 \| good	24.482 \| good	0.762 \| good	7.846 \| good	0.221 \| good
2025-11-12T08:00:00.000Z	22 \| good	4.485 \| good	19.243 \| good	22.806 \| good	0.432 \| good	2.817 \| good	0.155 \| good
2025-11-12T09:00:00.000Z	22 \| good	3.865 \| good	17.01 \| good	24.198 \| good	0.43 \| good	2.505 \| good	0.152 \| good
2025-11-12T10:00:00.000Z	25 \| good	2.98 \| good	12.309 \| good	27.161 \| good	0.408 \| good	2.267 \| good	0.149 \| good
2025-11-12T11:00:00.000Z	25 \| good	3.488 \| good	15.236 \| good	26.869 \| good	0.385 \| good	2.03 \| good	0.145 \| good
2025-11-12T12:00:00.000Z	24 \| good	3.53 \| good	15.858 \| good	25.584 \| good	0.363 \| good	1.792 \| good	0.142 \| good
2025-11-12T13:00:00.000Z	23 \| good	3.035 \| good	12.408 \| good	24.763 \| good	0.359 \| good	1.553 \| good	0.14 \| good
2025-11-12T14:00:00.000Z	21 \| good	3.04 \| good	12.475 \| good	22.807 \| good	0.355 \| good	1.314 \| good	0.139 \| good
2025-11-12T15:00:00.000Z	24 \| good	4.382 \| good	19.097 \| good	26.082 \| good	0.352 \| good	1.075 \| good	0.137 \| good
2025-11-12T16:00:00.000Z	26 \| good	4.234 \| good	18.896 \| good	28.364 \| good	0.357 \| good	0.959 \| good	0.134 \| good
2025-11-12T17:00:00.000Z	26 \| good	3.838 \| good	16.937 \| good	28.392 \| good	0.362 \| good	0.843 \| good	0.132 \| good
2025-11-12T18:00:00.000Z	25 \| good	3.527 \| good	15.867 \| good	27.21 \| good	0.368 \| good	0.728 \| good	0.129 \| good
2025-11-12T19:00:00.000Z	29 \| good	3.31 \| good	14.216 \| good	30.662 \| good	0.429 \| good	0.944 \| good	0.129 \| good
2025-11-12T20:00:00.000Z	27 \| good	4.13 \| good	18.15 \| good	28.847 \| good	0.491 \| good	1.161 \| good	0.128 \| good
2025-11-12T21:00:00.000Z	26 \| good	3.603 \| good	15.946 \| good	28.457 \| good	0.553 \| good	1.377 \| good	0.128 \| good
2025-11-12T22:00:00.000Z	23 \| good	3.168 \| good	13.844 \| good	25.348 \| good	0.548 \| good	1.682 \| good	0.13 \| good
2025-11-12T23:00:00.000Z	23 \| good	3.518 \| good	15.858 \| good	24.843 \| good	0.544 \| good	1.987 \| good	0.131 \| good
2025-11-13T00:00:00.000Z	23 \| good	3.074 \| good	12.432 \| good	24.604 \| good	0.539 \| good	2.291 \| good	0.133 \| good
2025-11-13T01:00:00.000Z	21 \| good	3.035 \| good	12.414 \| good	22.96 \| good	0.533 \| good	2.094 \| good	0.131 \| good
2025-11-13T02:00:00.000Z	23 \| good	3.137 \| good	13.938 \| good	24.997 \| good	0.526 \| good	1.897 \| good	0.13 \| good
2025-11-13T03:00:00.000Z	24 \| good	3.305 \| good	14.287 \| good	26.379 \| good	0.519 \| good	1.7 \| good	0.128 \| good
2025-11-13T04:00:00.000Z	24 \| good	3.487 \| good	15.264 \| good	25.974 \| good	0.485 \| good	1.566 \| good	0.127 \| good
2025-11-13T05:00:00.000Z	26 \| good	4.192 \| good	18.216 \| good	27.528 \| good	0.452 \| good	1.431 \| good	0.126 \| good
2025-11-13T06:00:00.000Z	25 \| good	3.634 \| good	15.918 \| good	27.381 \| good	0.418 \| good	1.297 \| good	0.125 \| good
2025-11-13T07:00:00.000Z	24 \| good	2.861 \| good	11.873 \| good	25.516 \| good	0.412 \| good	1.28 \| good	0.124 \| good
2025-11-13T08:00:00.000Z	19 \| good	2.761 \| good	11.179 \| good	20.841 \| good	0.405 \| good	1.263 \| good	0.123 \| good
2025-11-13T09:00:00.000Z	17 \| good	2.613 \| good	10.226 \| good	18.088 \| good	0.399 \| good	1.245 \| good	0.123 \| good
2025-11-13T10:00:00.000Z	16 \| good	2.884 \| good	11.945 \| good	15.863 \| good	0.402 \| good	1.421 \| good	0.124 \| good
2025-11-13T11:00:00.000Z	16 \| good	3.21 \| good	13.93 \| good	15.856 \| good	0.405 \| good	1.597 \| good	0.125 \| good
2025-11-13T12:00:00.000Z	16 \| good	2.829 \| good	11.855 \| good	16.508 \| good	0.408 \| good	1.772 \| good	0.125 \| good
2025-11-13T13:00:00.000Z	17 \| good	2.905 \| good	12.179 \| good	17.545 \| good	0.444 \| good	1.698 \| good	0.125 \| good
2025-11-13T14:00:00.000Z	25 \| good	3.05 \| good	12.432 \| good	26.881 \| good	0.48 \| good	1.623 \| good	0.125 \| good
2025-11-13T15:00:00.000Z	29 \| good	3.064 \| good	12.414 \| good	30.75 \| good	0.516 \| good	1.549 \| good	0.125 \| good
2025-11-13T16:00:00.000Z	31 \| good	2.959 \| good	12.293 \| good	32.751 \| good	0.55 \| good	1.41 \| good	0.124 \| good
2025-11-13T17:00:00.000Z	31 \| good	2.655 \| good	10.968 \| good	33.337 \| good	0.584 \| good	1.27 \| good	0.122 \| good
2025-11-13T18:00:00.000Z	31 \| good	2.462 \| good	10 \| good	34.143 \| good	0.617 \| good	1.131 \| good	0.121 \| good
2025-11-13T19:00:00.000Z	33 \| good	3.105 \| good	12.574 \| good	36.135 \| good	0.646 \| good	1.343 \| good	0.123 \| good
2025-11-13T20:00:00.000Z	30 \| good	4.819 \| good	21.158 \| good	31.775 \| good	0.674 \| good	1.555 \| good	0.124 \| good
2025-11-13T21:00:00.000Z	33 \| good	5.57 \| good	23.806 \| good	30.464 \| good	0.703 \| good	1.766 \| good	0.126 \| good
2025-11-13T22:00:00.000Z	33 \| good	5.986 \| good	27.028 \| good	23.693 \| good	0.686 \| good	2.926 \| good	0.136 \| good
2025-11-13T23:00:00.000Z	38 \| good	7.003 \| good	31.079 \| good	20.357 \| good	0.669 \| good	4.085 \| good	0.147 \| good
2025-11-14T00:00:00.000Z	38 \| good	7.203 \| good	32 \| good	17.549 \| good	0.652 \| good	5.244 \| good	0.158 \| good
2025-11-14T01:00:00.000Z	49 \| good	8.587 \| good	37.66 \| good	13.494 \| good	0.674 \| good	5.505 \| good	0.16 \| good
2025-11-14T02:00:00.000Z	56 \| moderate	12.019 \| good	53.179 \| good	9.334 \| good	0.696 \| good	5.766 \| good	0.162 \| good
2025-11-14T03:00:00.000Z	64 \| moderate	15.966 \| fine	70.993 \| fine	5.021 \| good	0.718 \| good	6.027 \| good	0.164 \| good
2025-11-14T04:00:00.000Z	64 \| moderate	16.245 \| fine	72.686 \| fine	6.102 \| good	0.751 \| good	6.031 \| good	0.165 \| good
2025-11-14T05:00:00.000Z	64 \| moderate	16.372 \| fine	72.553 \| fine	4.915 \| good	0.784 \| good	6.035 \| good	0.165 \| good
2025-11-14T06:00:00.000Z	38 \| good	7.42 \| good	7.701 \| good	22.552 \| good	0.804 \| good	5.969 \| good	0.166 \| good
2025-11-14T07:00:00.000Z	66 \| moderate	16.791 \| fine	74.722 \| fine	9.22 \| good	0.813 \| good	6.109 \| good	0.167 \| good

Egelston

Get reliable air quality data to drive your business

Egelston, Michigan air quality map: Track AQI near you

0.18ppm

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 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 06:00:00 on 2025-11-12.

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 11:00:00 on 2025-11-11.

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 7.131 μg/m³.

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

The current PM₁₀ concentration at Egelston, Michigan is 32.08 μg/m³.

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

The current carbon monoxide (CO) concentration at Egelston, Michigan is 0.179 ppm.

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

The current sulfur dioxide (SO₂) concentration at Egelston, Michigan is 0.52 ppb.

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

The current ozone (O₃) concentration at Egelston, Michigan is 18.355 ppm.

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

The current nitrogen dioxide (NO₂) concentration at Egelston, Michigan is 4.894 ppb.

Certified

APIs

Refund Policy

Historical Climate Data

Terms & Conditions

Refund Policy

Terms & Conditions

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-11-11T18:00:00.000Z	22 \| good	4.467 \| good	21.654 \| good	19.606 \| good	0.541 \| good	7.477 \| good	0.2 \| good
2025-11-11T19:00:00.000Z	33 \| good	5.879 \| good	18.594 \| good	22.384 \| good	0.603 \| good	6.2 \| good	0.203 \| good
2025-11-11T20:00:00.000Z	27 \| good	4.539 \| good	20.175 \| good	20.682 \| good	0.552 \| good	6.989 \| good	0.187 \| good
2025-11-11T21:00:00.000Z	27 \| good	4.68 \| good	20.32 \| good	22.386 \| good	0.495 \| good	7.036 \| good	0.199 \| good
2025-11-11T22:00:00.000Z	22 \| good	4.179 \| good	21.15 \| good	24.072 \| good	0.53 \| good	6.109 \| good	0.216 \| good
2025-11-11T23:00:00.000Z	22 \| good	4.294 \| good	22.273 \| good	23.567 \| good	0.452 \| good	6.041 \| good	0.215 \| good
2025-11-12T00:00:00.000Z	22 \| good	4.267 \| good	16.579 \| good	23.159 \| good	0.481 \| good	5.986 \| good	0.216 \| good
2025-11-12T01:00:00.000Z	27 \| good	4.701 \| good	26.446 \| good	21.798 \| good	0.532 \| good	5.412 \| good	0.215 \| good
2025-11-12T02:00:00.000Z	22 \| good	3.895 \| good	18.177 \| good	21.719 \| good	0.558 \| good	4.771 \| good	0.198 \| good
2025-11-12T03:00:00.000Z	22 \| good	4.482 \| good	21.588 \| good	21.481 \| good	0.556 \| good	4.66 \| good	0.199 \| good
2025-11-12T04:00:00.000Z	27 \| good	4.971 \| good	24.761 \| good	20.76 \| good	0.555 \| good	6.697 \| good	0.19 \| good
2025-11-12T05:00:00.000Z	27 \| good	5.251 \| good	20.785 \| good	20.997 \| good	0.505 \| good	6.325 \| good	0.247 \| good
2025-11-12T06:00:00.000Z	33 \| good	5.911 \| good	20.29 \| good	20.997 \| good	0.495 \| good	6.212 \| good	0.175 \| good
2025-11-12T07:00:00.000Z	38 \| good	7.131 \| good	32.08 \| good	18.355 \| good	0.52 \| good	4.894 \| good	0.179 \| good
2025-11-12T08:00:00.000Z	33 \| good	5.906 \| good	27.993 \| good	19.263 \| good	0.493 \| good	3.385 \| good	0.176 \| good
2025-11-12T09:00:00.000Z	27 \| good	5.436 \| good	22.42 \| good	19.594 \| good	0.465 \| good	3.968 \| good	0.121 \| good
2025-11-12T10:00:00.000Z	27 \| good	4.914 \| good	18.283 \| good	17.397 \| good	0.441 \| good	3.971 \| good	0.186 \| good
2025-11-12T11:00:00.000Z	22 \| good	4.208 \| good	20.809 \| good	20.442 \| good	0.454 \| good	3.371 \| good	0.2 \| good
2025-11-12T12:00:00.000Z	27 \| good	5.198 \| good	16.433 \| good	21.475 \| good	0.502 \| good	4.623 \| good	0.213 \| good
2025-11-12T13:00:00.000Z	27 \| good	4.781 \| good	17.289 \| good	18.358 \| good	0.502 \| good	4.198 \| good	0.215 \| good
2025-11-12T14:00:00.000Z	19 \| good	3.22 \| good	15.049 \| good	20.815 \| good	0.514 \| good	4.11 \| good	0.206 \| good
2025-11-12T15:00:00.000Z	21 \| good	3.174 \| good	10.082 \| good	23.316 \| good	0.541 \| good	3.394 \| good	0.208 \| good
2025-11-12T16:00:00.000Z	22 \| good	4.438 \| good	21.024 \| good	23.224 \| good	0.62 \| good	4.401 \| good	0.19 \| good
2025-11-12T17:00:00.000Z	22 \| good	4.056 \| good	21.825 \| good	18.697 \| good	0.545 \| good	4.444 \| good	0.2 \| good
2025-11-12T18:00:00.000Z	21 \| good	2.706 \| good	12.955 \| good	23.262 \| good	0.585 \| good	2.511 \| good	0.201 \| good
2025-11-12T19:00:00.000Z	24 \| good	3.39 \| good	10.6 \| good	25.509 \| good	0.545 \| good	2.333 \| good	0.231 \| good
2025-11-12T20:00:00.000Z	25 \| good	2.698 \| good	10.56 \| good	26.874 \| good	0.526 \| good	2.81 \| good	0.195 \| good
2025-11-12T21:00:00.000Z	29 \| good	2.69 \| good	11.484 \| good	31.218 \| good	0.561 \| good	3.479 \| good	0.202 \| good
2025-11-12T22:00:00.000Z	29 \| good	2.809 \| good	11.472 \| good	30.829 \| good	0.536 \| good	3.728 \| good	0.203 \| good
2025-11-12T23:00:00.000Z	29 \| good	2.845 \| good	10.773 \| good	31.25 \| good	0.575 \| good	6.477 \| good	0.226 \| good
2025-11-13T00:00:00.000Z	29 \| good	2.723 \| good	9.955 \| good	31.374 \| good	0.501 \| good	8.325 \| good	0.342 \| good
2025-11-13T01:00:00.000Z	26 \| good	3.002 \| good	9.845 \| good	28.426 \| good	0.513 \| good	8.552 \| good	0.285 \| good
2025-11-13T02:00:00.000Z	27 \| good	2.946 \| good	13.088 \| good	29.314 \| good	0.626 \| good	5.787 \| good	0.3 \| good
2025-11-13T03:00:00.000Z	26 \| good	2.944 \| good	13.56 \| good	27.679 \| good	0.58 \| good	4.521 \| good	0.242 \| good
2025-11-13T04:00:00.000Z	25 \| good	2.963 \| good	11.971 \| good	26.976 \| good	0.581 \| good	3.843 \| good	0.241 \| good
2025-11-13T05:00:00.000Z	22 \| good	2.917 \| good	12.258 \| good	24.133 \| good	0.657 \| good	3.768 \| good	0.225 \| good
2025-11-13T06:00:00.000Z	24 \| good	2.655 \| good	13.355 \| good	25.926 \| good	0.665 \| good	6.35 \| good	0.271 \| good
2025-11-13T07:00:00.000Z	20 \| good	2.851 \| good	14.23 \| good	22.131 \| good	0.642 \| good	8.379 \| good	0.27 \| good
2025-11-13T08:00:00.000Z	21 \| good	2.084 \| good	11.958 \| good	23.355 \| good	0.641 \| good	5.33 \| good	0.243 \| good
2025-11-13T09:00:00.000Z	20 \| good	3.054 \| good	9.599 \| good	21.561 \| good	0.727 \| good	5.697 \| good	0.199 \| good
2025-11-13T10:00:00.000Z	20 \| good	2.854 \| good	11.931 \| good	21.779 \| good	0.602 \| good	6.533 \| good	0.255 \| good
2025-11-13T11:00:00.000Z	19 \| good	2.573 \| good	10.452 \| good	19.608 \| good	0.499 \| good	11.108 \| good	0.245 \| good
2025-11-13T12:00:00.000Z	21 \| good	3.301 \| good	13 \| good	23.183 \| good	0.517 \| good	14.139 \| good	0.72 \| good
2025-11-13T13:00:00.000Z	23 \| good	2.917 \| good	11.376 \| good	24.983 \| good	0.576 \| good	14.817 \| good	0.395 \| good
2025-11-13T14:00:00.000Z	25 \| good	2.41 \| good	9.136 \| good	26.635 \| good	0.491 \| good	11.446 \| good	0.298 \| good
2025-11-13T15:00:00.000Z	21 \| good	2.737 \| good	12.702 \| good	22.552 \| good	0.675 \| good	8.164 \| good	0.267 \| good
2025-11-13T16:00:00.000Z	22 \| good	2.569 \| good	13.78 \| good	24.482 \| good	0.762 \| good	7.846 \| good	0.221 \| good
2025-11-13T17:00:00.000Z	22 \| good	2.569 \| good	13.78 \| good	24.482 \| good	0.762 \| good	7.846 \| good	0.221 \| good
2025-11-12T08:00:00.000Z	22 \| good	4.485 \| good	19.243 \| good	22.806 \| good	0.432 \| good	2.817 \| good	0.155 \| good
2025-11-12T09:00:00.000Z	22 \| good	3.865 \| good	17.01 \| good	24.198 \| good	0.43 \| good	2.505 \| good	0.152 \| good
2025-11-12T10:00:00.000Z	25 \| good	2.98 \| good	12.309 \| good	27.161 \| good	0.408 \| good	2.267 \| good	0.149 \| good
2025-11-12T11:00:00.000Z	25 \| good	3.488 \| good	15.236 \| good	26.869 \| good	0.385 \| good	2.03 \| good	0.145 \| good
2025-11-12T12:00:00.000Z	24 \| good	3.53 \| good	15.858 \| good	25.584 \| good	0.363 \| good	1.792 \| good	0.142 \| good
2025-11-12T13:00:00.000Z	23 \| good	3.035 \| good	12.408 \| good	24.763 \| good	0.359 \| good	1.553 \| good	0.14 \| good
2025-11-12T14:00:00.000Z	21 \| good	3.04 \| good	12.475 \| good	22.807 \| good	0.355 \| good	1.314 \| good	0.139 \| good
2025-11-12T15:00:00.000Z	24 \| good	4.382 \| good	19.097 \| good	26.082 \| good	0.352 \| good	1.075 \| good	0.137 \| good
2025-11-12T16:00:00.000Z	26 \| good	4.234 \| good	18.896 \| good	28.364 \| good	0.357 \| good	0.959 \| good	0.134 \| good
2025-11-12T17:00:00.000Z	26 \| good	3.838 \| good	16.937 \| good	28.392 \| good	0.362 \| good	0.843 \| good	0.132 \| good
2025-11-12T18:00:00.000Z	25 \| good	3.527 \| good	15.867 \| good	27.21 \| good	0.368 \| good	0.728 \| good	0.129 \| good
2025-11-12T19:00:00.000Z	29 \| good	3.31 \| good	14.216 \| good	30.662 \| good	0.429 \| good	0.944 \| good	0.129 \| good
2025-11-12T20:00:00.000Z	27 \| good	4.13 \| good	18.15 \| good	28.847 \| good	0.491 \| good	1.161 \| good	0.128 \| good
2025-11-12T21:00:00.000Z	26 \| good	3.603 \| good	15.946 \| good	28.457 \| good	0.553 \| good	1.377 \| good	0.128 \| good
2025-11-12T22:00:00.000Z	23 \| good	3.168 \| good	13.844 \| good	25.348 \| good	0.548 \| good	1.682 \| good	0.13 \| good
2025-11-12T23:00:00.000Z	23 \| good	3.518 \| good	15.858 \| good	24.843 \| good	0.544 \| good	1.987 \| good	0.131 \| good
2025-11-13T00:00:00.000Z	23 \| good	3.074 \| good	12.432 \| good	24.604 \| good	0.539 \| good	2.291 \| good	0.133 \| good
2025-11-13T01:00:00.000Z	21 \| good	3.035 \| good	12.414 \| good	22.96 \| good	0.533 \| good	2.094 \| good	0.131 \| good
2025-11-13T02:00:00.000Z	23 \| good	3.137 \| good	13.938 \| good	24.997 \| good	0.526 \| good	1.897 \| good	0.13 \| good
2025-11-13T03:00:00.000Z	24 \| good	3.305 \| good	14.287 \| good	26.379 \| good	0.519 \| good	1.7 \| good	0.128 \| good
2025-11-13T04:00:00.000Z	24 \| good	3.487 \| good	15.264 \| good	25.974 \| good	0.485 \| good	1.566 \| good	0.127 \| good
2025-11-13T05:00:00.000Z	26 \| good	4.192 \| good	18.216 \| good	27.528 \| good	0.452 \| good	1.431 \| good	0.126 \| good
2025-11-13T06:00:00.000Z	25 \| good	3.634 \| good	15.918 \| good	27.381 \| good	0.418 \| good	1.297 \| good	0.125 \| good
2025-11-13T07:00:00.000Z	24 \| good	2.861 \| good	11.873 \| good	25.516 \| good	0.412 \| good	1.28 \| good	0.124 \| good
2025-11-13T08:00:00.000Z	19 \| good	2.761 \| good	11.179 \| good	20.841 \| good	0.405 \| good	1.263 \| good	0.123 \| good
2025-11-13T09:00:00.000Z	17 \| good	2.613 \| good	10.226 \| good	18.088 \| good	0.399 \| good	1.245 \| good	0.123 \| good
2025-11-13T10:00:00.000Z	16 \| good	2.884 \| good	11.945 \| good	15.863 \| good	0.402 \| good	1.421 \| good	0.124 \| good
2025-11-13T11:00:00.000Z	16 \| good	3.21 \| good	13.93 \| good	15.856 \| good	0.405 \| good	1.597 \| good	0.125 \| good
2025-11-13T12:00:00.000Z	16 \| good	2.829 \| good	11.855 \| good	16.508 \| good	0.408 \| good	1.772 \| good	0.125 \| good
2025-11-13T13:00:00.000Z	17 \| good	2.905 \| good	12.179 \| good	17.545 \| good	0.444 \| good	1.698 \| good	0.125 \| good
2025-11-13T14:00:00.000Z	25 \| good	3.05 \| good	12.432 \| good	26.881 \| good	0.48 \| good	1.623 \| good	0.125 \| good
2025-11-13T15:00:00.000Z	29 \| good	3.064 \| good	12.414 \| good	30.75 \| good	0.516 \| good	1.549 \| good	0.125 \| good
2025-11-13T16:00:00.000Z	31 \| good	2.959 \| good	12.293 \| good	32.751 \| good	0.55 \| good	1.41 \| good	0.124 \| good
2025-11-13T17:00:00.000Z	31 \| good	2.655 \| good	10.968 \| good	33.337 \| good	0.584 \| good	1.27 \| good	0.122 \| good
2025-11-13T18:00:00.000Z	31 \| good	2.462 \| good	10 \| good	34.143 \| good	0.617 \| good	1.131 \| good	0.121 \| good
2025-11-13T19:00:00.000Z	33 \| good	3.105 \| good	12.574 \| good	36.135 \| good	0.646 \| good	1.343 \| good	0.123 \| good
2025-11-13T20:00:00.000Z	30 \| good	4.819 \| good	21.158 \| good	31.775 \| good	0.674 \| good	1.555 \| good	0.124 \| good
2025-11-13T21:00:00.000Z	33 \| good	5.57 \| good	23.806 \| good	30.464 \| good	0.703 \| good	1.766 \| good	0.126 \| good
2025-11-13T22:00:00.000Z	33 \| good	5.986 \| good	27.028 \| good	23.693 \| good	0.686 \| good	2.926 \| good	0.136 \| good
2025-11-13T23:00:00.000Z	38 \| good	7.003 \| good	31.079 \| good	20.357 \| good	0.669 \| good	4.085 \| good	0.147 \| good
2025-11-14T00:00:00.000Z	38 \| good	7.203 \| good	32 \| good	17.549 \| good	0.652 \| good	5.244 \| good	0.158 \| good
2025-11-14T01:00:00.000Z	49 \| good	8.587 \| good	37.66 \| good	13.494 \| good	0.674 \| good	5.505 \| good	0.16 \| good
2025-11-14T02:00:00.000Z	56 \| moderate	12.019 \| good	53.179 \| good	9.334 \| good	0.696 \| good	5.766 \| good	0.162 \| good
2025-11-14T03:00:00.000Z	64 \| moderate	15.966 \| fine	70.993 \| fine	5.021 \| good	0.718 \| good	6.027 \| good	0.164 \| good
2025-11-14T04:00:00.000Z	64 \| moderate	16.245 \| fine	72.686 \| fine	6.102 \| good	0.751 \| good	6.031 \| good	0.165 \| good
2025-11-14T05:00:00.000Z	64 \| moderate	16.372 \| fine	72.553 \| fine	4.915 \| good	0.784 \| good	6.035 \| good	0.165 \| good
2025-11-14T06:00:00.000Z	38 \| good	7.42 \| good	7.701 \| good	22.552 \| good	0.804 \| good	5.969 \| good	0.166 \| good
2025-11-14T07:00:00.000Z	66 \| moderate	16.791 \| fine	74.722 \| fine	9.22 \| good	0.813 \| good	6.109 \| good	0.167 \| 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)

Track live Egelston, Michigan air quality forecast and history

Get reliable air quality data to drive your business

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

How accurate is Michigan, USA air quality data?

Air quality levels in US

Frequently asked questions

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

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

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

What is the current air quality in Egelston, Michigan?

What pollutant is the most common in Egelston, Michigan?

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

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

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

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

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?

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?

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

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?