What is the current concentration of PM10 in Winnetka, Illinois?

The current PM10 concentration at Winnetka, Illinois is 31.141 μg/m3.

What is the current concentration of sulfur dioxide (SO2) in Winnetka, Illinois?

The current sulfur dioxide (SO2) concentration at Winnetka, Illinois is 0.88 ppb.

What is the current concentration of ozone (O3) in Winnetka, Illinois?

The current ozone (O3) concentration at Winnetka, Illinois is 6.141 ppm.

What is the current concentration of nitrogen dioxide (NO2) in Winnetka, Illinois?

The current nitrogen dioxide (NO2) concentration at Winnetka, Illinois is 13.713 ppb.

Winnetka, Illinois live air quality index now

Q: What is the current concentration of PM2.5 in Winnetka, Illinois?

The current PM2.5 concentration at Winnetka, Illinois is 9.25 μg/m3.

Stay updated with real-time air quality in Winnetka, Illinois 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

Winnetka, Illinois

Last updated: ... (Local time)

Major air pollutants in Winnetka, Illinois

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

8.25 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

29.51 μg/m³

155

255

425

605+

Ozone (O₃)

24.09 ppb

201

201+

Sulfur Dioxide (SO₂)

1.08 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

9.29 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.31 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Winnetka, Illinois

Get Live Pollen Counts

Winnetka, Illinois

Scroll To Air Quality Map

Track live Winnetka, Illinois air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-24T10:00:00.000Z	22 \| good	3.773 \| good	11.086 \| good	2.342 \| good	1.103 \| good	14.658 \| good	0.333 \| good
2025-10-24T11:00:00.000Z	22 \| good	3.827 \| good	12.651 \| good	2.911 \| good	1.157 \| good	16.125 \| good	0.268 \| good
2025-10-24T12:00:00.000Z	22 \| good	3.96 \| good	11.638 \| good	3.799 \| good	1.1 \| good	15.37 \| good	0.311 \| good
2025-10-24T13:00:00.000Z	22 \| good	3.728 \| good	13.269 \| good	3.471 \| good	1.022 \| good	14.323 \| good	0.317 \| good
2025-10-24T14:00:00.000Z	22 \| good	4.033 \| good	12.941 \| good	4.459 \| good	1.112 \| good	16.171 \| good	0.511 \| good
2025-10-24T15:00:00.000Z	22 \| good	4.074 \| good	12.396 \| good	6.274 \| good	1.447 \| good	16.833 \| good	0.267 \| good
2025-10-24T16:00:00.000Z	16 \| good	3.468 \| good	11.173 \| good	8.408 \| good	4.461 \| good	14.632 \| good	0.207 \| good
2025-10-24T17:00:00.000Z	16 \| good	2.708 \| good	8.135 \| good	13.08 \| good	1.031 \| good	6.469 \| good	0.21 \| good
2025-10-24T18:00:00.000Z	16 \| good	2.79 \| good	8.661 \| good	15.063 \| good	0.974 \| good	3.26 \| good	0.228 \| good
2025-10-24T19:00:00.000Z	17 \| good	2.573 \| good	7.282 \| good	17.627 \| good	1.113 \| good	4.346 \| good	0.27 \| good
2025-10-24T20:00:00.000Z	19 \| good	2.476 \| good	7.913 \| good	19.543 \| good	0.846 \| good	4.121 \| good	0.241 \| good
2025-10-24T21:00:00.000Z	20 \| good	2.685 \| good	9.364 \| good	21.53 \| good	0.847 \| good	3.678 \| good	0.234 \| good
2025-10-24T22:00:00.000Z	21 \| good	2.747 \| good	8.551 \| good	23.184 \| good	1.028 \| good	4.497 \| good	0.193 \| good
2025-10-24T23:00:00.000Z	21 \| good	2.74 \| good	8.118 \| good	23.434 \| good	1.795 \| good	5.83 \| good	0.242 \| good
2025-10-25T00:00:00.000Z	21 \| good	3.2 \| good	10.552 \| good	23.433 \| good	1.811 \| good	10.668 \| good	0.268 \| good
2025-10-25T01:00:00.000Z	19 \| good	3.193 \| good	10.33 \| good	19.502 \| good	0.768 \| good	15.233 \| good	0.314 \| good
2025-10-25T02:00:00.000Z	22 \| good	4.091 \| good	14.644 \| good	16.08 \| good	0.739 \| good	15.879 \| good	0.409 \| good
2025-10-25T03:00:00.000Z	27 \| good	4.69 \| good	20.369 \| good	12.592 \| good	2.237 \| good	15.41 \| good	0.198 \| good
2025-10-25T04:00:00.000Z	58 \| moderate	13.133 \| fine	48.646 \| good	11.397 \| good	0.995 \| good	16.938 \| good	0.52 \| good
2025-10-25T05:00:00.000Z	54 \| moderate	10.992 \| good	39.288 \| good	8.941 \| good	1.155 \| good	15.101 \| good	0.441 \| good
2025-10-25T06:00:00.000Z	52 \| moderate	9.795 \| good	30.824 \| good	6.865 \| good	0.906 \| good	14.269 \| good	0.347 \| good
2025-10-25T07:00:00.000Z	49 \| good	9.25 \| good	31.141 \| good	6.141 \| good	0.88 \| good	13.713 \| good	0.381 \| good
2025-10-25T08:00:00.000Z	44 \| good	7.908 \| good	22.375 \| good	13.063 \| good	0.811 \| good	13.277 \| good	0.347 \| good
2025-10-25T09:00:00.000Z	52 \| moderate	9.518 \| good	29.183 \| good	10.412 \| good	0.824 \| good	12.956 \| good	0.355 \| good
2025-10-25T10:00:00.000Z	49 \| good	8.89 \| good	28.425 \| good	5.95 \| good	0.943 \| good	12.879 \| good	0.333 \| good
2025-10-25T11:00:00.000Z	49 \| good	9.209 \| good	30.533 \| good	3.495 \| good	0.928 \| good	11.907 \| good	0.388 \| good
2025-10-25T12:00:00.000Z	44 \| good	8.288 \| good	26.585 \| good	6.469 \| good	0.824 \| good	11.081 \| good	0.339 \| good
2025-10-25T13:00:00.000Z	49 \| good	8.525 \| good	25.924 \| good	2.169 \| good	0.85 \| good	12.86 \| good	0.321 \| good
2025-10-25T14:00:00.000Z	49 \| good	8.729 \| good	27.967 \| good	3.264 \| good	0.679 \| good	17.462 \| good	0.395 \| good
2025-10-25T15:00:00.000Z	49 \| good	8.816 \| good	28.809 \| good	3.862 \| good	1.138 \| good	16.304 \| good	0.358 \| good
2025-10-25T16:00:00.000Z	38 \| good	7.332 \| good	22.067 \| good	9.103 \| good	0.844 \| good	11.904 \| good	0.201 \| good
2025-10-25T17:00:00.000Z	38 \| good	7.428 \| good	24.139 \| good	13.5 \| good	0.946 \| good	6.229 \| good	0.164 \| good
2025-10-25T18:00:00.000Z	27 \| good	5.077 \| good	17.232 \| good	17.757 \| good	1.68 \| good	4.928 \| good	0.186 \| good
2025-10-25T19:00:00.000Z	27 \| good	5.133 \| good	18.391 \| good	21.497 \| good	1.612 \| good	4.697 \| good	0.192 \| good
2025-10-25T20:00:00.000Z	27 \| good	5.21 \| good	17.387 \| good	25.103 \| good	1.433 \| good	3.504 \| good	0.192 \| good
2025-10-25T21:00:00.000Z	27 \| good	5.151 \| good	15.079 \| good	27.342 \| good	0.722 \| good	3.327 \| good	0.192 \| good
2025-10-25T22:00:00.000Z	27 \| good	4.837 \| good	13.811 \| good	28.518 \| good	0.636 \| good	3.752 \| good	0.158 \| good
2025-10-25T23:00:00.000Z	33 \| good	5.679 \| good	16.092 \| good	28.375 \| good	0.554 \| good	5.648 \| good	0.173 \| good
2025-10-26T00:00:00.000Z	33 \| good	5.951 \| good	17.789 \| good	28.876 \| good	0.799 \| good	12.334 \| good	0.208 \| good
2025-10-26T01:00:00.000Z	33 \| good	6.288 \| good	22.038 \| good	28.222 \| good	1.245 \| good	15.902 \| good	0.289 \| good
2025-10-26T02:00:00.000Z	33 \| good	6.242 \| good	20.746 \| good	27.833 \| good	1.249 \| good	16.447 \| good	0.34 \| good
2025-10-26T03:00:00.000Z	38 \| good	6.637 \| good	22.301 \| good	25.62 \| good	1.021 \| good	18.517 \| good	0.281 \| good
2025-10-26T04:00:00.000Z	44 \| good	7.778 \| good	25.261 \| good	26.169 \| good	0.98 \| good	15.717 \| good	0.238 \| good
2025-10-26T05:00:00.000Z	38 \| good	7.19 \| good	25.89 \| good	24.83 \| good	1.009 \| good	13.867 \| good	0.26 \| good
2025-10-26T06:00:00.000Z	38 \| good	6.533 \| good	19.329 \| good	25.24 \| good	1.354 \| good	9.13 \| good	0.425 \| good
2025-10-26T07:00:00.000Z	38 \| good	7.136 \| good	23.431 \| good	24.336 \| good	1.847 \| good	9.45 \| good	0.425 \| good
2025-10-26T08:00:00.000Z	44 \| good	8.248 \| good	29.514 \| good	24.086 \| good	1.082 \| good	9.295 \| good	0.314 \| good
2025-10-26T09:00:00.000Z	44 \| good	8.248 \| good	29.514 \| good	24.086 \| good	1.082 \| good	9.295 \| good	0.314 \| good
2025-10-25T09:00:00.000Z	13 \| good	1.819 \| good	7.51 \| good	14.495 \| good	1.785 \| good	10.397 \| good	0.156 \| good
2025-10-25T10:00:00.000Z	22 \| good	4.373 \| good	19.153 \| good	9.1 \| good	1.883 \| good	11.382 \| good	0.163 \| good
2025-10-25T11:00:00.000Z	33 \| good	5.799 \| good	25.297 \| good	6.932 \| good	1.981 \| good	12.366 \| good	0.17 \| good
2025-10-25T12:00:00.000Z	33 \| good	6.425 \| good	28.061 \| good	5.403 \| good	2.079 \| good	13.351 \| good	0.176 \| good
2025-10-25T13:00:00.000Z	38 \| good	6.572 \| good	28.927 \| good	6.79 \| good	2.257 \| good	12.072 \| good	0.184 \| good
2025-10-25T14:00:00.000Z	38 \| good	6.9 \| good	30.286 \| good	15.265 \| good	2.435 \| good	10.793 \| good	0.192 \| good
2025-10-25T15:00:00.000Z	38 \| good	7.411 \| good	32.576 \| good	19.533 \| good	2.613 \| good	9.514 \| good	0.199 \| good
2025-10-25T16:00:00.000Z	44 \| good	7.594 \| good	33.325 \| good	23.951 \| good	2.69 \| good	7.964 \| good	0.189 \| good
2025-10-25T17:00:00.000Z	38 \| good	7.076 \| good	31.536 \| good	26.208 \| good	2.767 \| good	6.415 \| good	0.179 \| good
2025-10-25T18:00:00.000Z	33 \| good	6.384 \| good	27.875 \| good	26.244 \| good	2.845 \| good	4.865 \| good	0.169 \| good
2025-10-25T19:00:00.000Z	33 \| good	5.644 \| good	24.708 \| good	26.778 \| good	2.951 \| good	5.249 \| good	0.173 \| good
2025-10-25T20:00:00.000Z	27 \| good	5.019 \| good	21.741 \| good	25.909 \| good	3.057 \| good	5.633 \| good	0.177 \| good
2025-10-25T21:00:00.000Z	27 \| good	4.668 \| good	20.58 \| good	27.274 \| good	3.163 \| good	6.018 \| good	0.18 \| good
2025-10-25T22:00:00.000Z	30 \| good	3.224 \| good	13.749 \| good	31.687 \| good	2.977 \| good	10.137 \| good	0.202 \| good
2025-10-25T23:00:00.000Z	31 \| good	1.368 \| good	5.593 \| good	34.239 \| good	2.791 \| good	14.256 \| good	0.223 \| good
2025-10-26T00:00:00.000Z	31 \| good	0.453 \| good	1.812 \| good	34.416 \| good	2.605 \| good	18.375 \| good	0.244 \| good
2025-10-26T01:00:00.000Z	28 \| good	0.758 \| good	2.977 \| good	29.816 \| good	2.405 \| good	17.533 \| good	0.234 \| good
2025-10-26T02:00:00.000Z	26 \| good	1.333 \| good	5.292 \| good	27.688 \| good	2.205 \| good	16.692 \| good	0.224 \| good
2025-10-26T03:00:00.000Z	30 \| good	4.946 \| good	21.429 \| good	31.672 \| good	2.005 \| good	15.85 \| good	0.214 \| good
2025-10-26T04:00:00.000Z	31 \| good	4.923 \| good	21.43 \| good	32.808 \| good	2.035 \| good	14.383 \| good	0.213 \| good
2025-10-26T05:00:00.000Z	28 \| good	4.296 \| good	18.523 \| good	29.74 \| good	2.065 \| good	12.916 \| good	0.211 \| good
2025-10-26T06:00:00.000Z	25 \| good	3.491 \| good	15.298 \| good	27.36 \| good	2.096 \| good	11.448 \| good	0.21 \| good
2025-10-26T07:00:00.000Z	23 \| good	3.516 \| good	15.102 \| good	25.131 \| good	2.64 \| good	11.027 \| good	0.211 \| good
2025-10-26T08:00:00.000Z	24 \| good	4.269 \| good	18.619 \| good	26.492 \| good	3.184 \| good	10.605 \| good	0.212 \| good
2025-10-26T09:00:00.000Z	27 \| good	4.775 \| good	20.885 \| good	26.918 \| good	3.729 \| good	10.184 \| good	0.213 \| good
2025-10-26T10:00:00.000Z	38 \| good	7.475 \| good	32.914 \| good	25.101 \| good	3.592 \| good	10.544 \| good	0.214 \| good
2025-10-26T11:00:00.000Z	49 \| good	9.161 \| good	40.416 \| good	27.115 \| good	3.455 \| good	10.903 \| good	0.215 \| good
2025-10-26T12:00:00.000Z	49 \| good	9.454 \| good	42.082 \| good	29.581 \| good	3.319 \| good	11.263 \| good	0.215 \| good
2025-10-26T13:00:00.000Z	44 \| good	7.743 \| good	34.177 \| good	28.496 \| good	2.835 \| good	9.662 \| good	0.209 \| good
2025-10-26T14:00:00.000Z	49 \| good	8.693 \| good	38.451 \| good	27.804 \| good	2.351 \| good	8.062 \| good	0.202 \| good
2025-10-26T15:00:00.000Z	49 \| good	9.473 \| good	42.106 \| good	28.589 \| good	1.868 \| good	6.461 \| good	0.196 \| good
2025-10-26T16:00:00.000Z	54 \| moderate	10.716 \| good	47.451 \| good	30.042 \| good	1.765 \| good	5.518 \| good	0.184 \| good
2025-10-26T17:00:00.000Z	54 \| moderate	10.599 \| good	46.886 \| good	31.216 \| good	1.662 \| good	4.576 \| good	0.171 \| good
2025-10-26T18:00:00.000Z	52 \| moderate	9.626 \| good	42.757 \| good	32.514 \| good	1.558 \| good	3.633 \| good	0.159 \| good
2025-10-26T19:00:00.000Z	49 \| good	8.723 \| good	38.515 \| good	33.401 \| good	1.464 \| good	3.708 \| good	0.158 \| good
2025-10-26T20:00:00.000Z	44 \| good	7.945 \| good	35.054 \| good	35.932 \| good	1.37 \| good	3.783 \| good	0.156 \| good
2025-10-26T21:00:00.000Z	38 \| good	6.898 \| good	30.492 \| good	38.015 \| good	1.276 \| good	3.858 \| good	0.154 \| good
2025-10-26T22:00:00.000Z	33 \| good	6.33 \| good	27.821 \| good	35.43 \| good	1.227 \| good	6.348 \| good	0.166 \| good
2025-10-26T23:00:00.000Z	33 \| good	5.135 \| good	22.591 \| good	35.523 \| good	1.178 \| good	8.838 \| good	0.178 \| good
2025-10-27T00:00:00.000Z	33 \| good	6.065 \| good	26.746 \| good	34.915 \| good	1.129 \| good	11.327 \| good	0.19 \| good
2025-10-27T01:00:00.000Z	30 \| good	3.121 \| good	13.166 \| good	31.522 \| good	1.093 \| good	10.193 \| good	0.182 \| good
2025-10-27T02:00:00.000Z	30 \| good	3.38 \| good	14.783 \| good	31.997 \| good	1.058 \| good	9.058 \| good	0.174 \| good
2025-10-27T03:00:00.000Z	29 \| good	3.935 \| good	17.225 \| good	31.145 \| good	1.022 \| good	7.923 \| good	0.166 \| good
2025-10-27T04:00:00.000Z	28 \| good	3.002 \| good	12.441 \| good	29.93 \| good	0.969 \| good	7.101 \| good	0.161 \| good
2025-10-27T05:00:00.000Z	24 \| good	4.092 \| good	17.888 \| good	25.851 \| good	0.917 \| good	6.28 \| good	0.156 \| good
2025-10-27T06:00:00.000Z	27 \| good	5.156 \| good	5.248 \| good	28.838 \| good	0.869 \| good	5.439 \| good	0.151 \| good
2025-10-27T07:00:00.000Z	44 \| good	7.963 \| good	34.919 \| good	24.316 \| good	0.852 \| good	5.067 \| good	0.145 \| good
2025-10-27T08:00:00.000Z	44 \| good	7.96 \| good	34.931 \| good	24.973 \| good	0.84 \| good	4.675 \| good	0.14 \| good

Winnetka

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Winnetka, Illinois air quality map: Track AQI near you

0.39ppm

How accurate is Illinois, USA air quality data?

Air quality data and pollutant measurements for Illinois, 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 Winnetka, Illinois updated?

The air quality for Winnetka, Illinois is updated every hour.

When was the worst air quality at Winnetka, Illinois in the last 24 hrs?

The worst air quality in Winnetka, Illinois in the last 24 hours was observed at 04:00:00 on 2025-10-25.

When was the best air quality at Winnetka, Illinois in the last 24 hrs?

In the last 24 hrs, the best air quality in Winnetka, Illinois was observed at 06:00:00 on 2025-10-24.

What is the current air quality in Winnetka, Illinois?

The current air quality in Winnetka, Illinois is 49, categorized as Good based on real-time data.

What pollutant is the most common in Winnetka, Illinois?

The most common pollutant in Winnetka, Illinois is PM2.5.

What should I do if the air quality in Winnetka, Illinois is poor?

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

What is the current concentration of PM_2.5 in Winnetka, Illinois?

The current PM_2.5 concentration at Winnetka, Illinois is 9.25 μg/m³.

What is the current concentration of PM₁₀ in Winnetka, Illinois?

The current PM₁₀ concentration at Winnetka, Illinois is 31.141 μg/m³.

What is the current concentration of carbon monoxide (CO) in Winnetka, Illinois?

The current carbon monoxide (CO) concentration at Winnetka, Illinois is 0.381 ppm.

What is the current concentration of sulfur dioxide (SO₂) in Winnetka, Illinois?

The current sulfur dioxide (SO₂) concentration at Winnetka, Illinois is 0.88 ppb.

What is the current concentration of ozone (O₃) in Winnetka, Illinois?

The current ozone (O₃) concentration at Winnetka, Illinois is 6.141 ppm.

What is the current concentration of nitrogen dioxide (NO₂) in Winnetka, Illinois?

The current nitrogen dioxide (NO₂) concentration at Winnetka, Illinois is 13.713 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-24T10:00:00.000Z	22 \| good	3.773 \| good	11.086 \| good	2.342 \| good	1.103 \| good	14.658 \| good	0.333 \| good
2025-10-24T11:00:00.000Z	22 \| good	3.827 \| good	12.651 \| good	2.911 \| good	1.157 \| good	16.125 \| good	0.268 \| good
2025-10-24T12:00:00.000Z	22 \| good	3.96 \| good	11.638 \| good	3.799 \| good	1.1 \| good	15.37 \| good	0.311 \| good
2025-10-24T13:00:00.000Z	22 \| good	3.728 \| good	13.269 \| good	3.471 \| good	1.022 \| good	14.323 \| good	0.317 \| good
2025-10-24T14:00:00.000Z	22 \| good	4.033 \| good	12.941 \| good	4.459 \| good	1.112 \| good	16.171 \| good	0.511 \| good
2025-10-24T15:00:00.000Z	22 \| good	4.074 \| good	12.396 \| good	6.274 \| good	1.447 \| good	16.833 \| good	0.267 \| good
2025-10-24T16:00:00.000Z	16 \| good	3.468 \| good	11.173 \| good	8.408 \| good	4.461 \| good	14.632 \| good	0.207 \| good
2025-10-24T17:00:00.000Z	16 \| good	2.708 \| good	8.135 \| good	13.08 \| good	1.031 \| good	6.469 \| good	0.21 \| good
2025-10-24T18:00:00.000Z	16 \| good	2.79 \| good	8.661 \| good	15.063 \| good	0.974 \| good	3.26 \| good	0.228 \| good
2025-10-24T19:00:00.000Z	17 \| good	2.573 \| good	7.282 \| good	17.627 \| good	1.113 \| good	4.346 \| good	0.27 \| good
2025-10-24T20:00:00.000Z	19 \| good	2.476 \| good	7.913 \| good	19.543 \| good	0.846 \| good	4.121 \| good	0.241 \| good
2025-10-24T21:00:00.000Z	20 \| good	2.685 \| good	9.364 \| good	21.53 \| good	0.847 \| good	3.678 \| good	0.234 \| good
2025-10-24T22:00:00.000Z	21 \| good	2.747 \| good	8.551 \| good	23.184 \| good	1.028 \| good	4.497 \| good	0.193 \| good
2025-10-24T23:00:00.000Z	21 \| good	2.74 \| good	8.118 \| good	23.434 \| good	1.795 \| good	5.83 \| good	0.242 \| good
2025-10-25T00:00:00.000Z	21 \| good	3.2 \| good	10.552 \| good	23.433 \| good	1.811 \| good	10.668 \| good	0.268 \| good
2025-10-25T01:00:00.000Z	19 \| good	3.193 \| good	10.33 \| good	19.502 \| good	0.768 \| good	15.233 \| good	0.314 \| good
2025-10-25T02:00:00.000Z	22 \| good	4.091 \| good	14.644 \| good	16.08 \| good	0.739 \| good	15.879 \| good	0.409 \| good
2025-10-25T03:00:00.000Z	27 \| good	4.69 \| good	20.369 \| good	12.592 \| good	2.237 \| good	15.41 \| good	0.198 \| good
2025-10-25T04:00:00.000Z	58 \| moderate	13.133 \| fine	48.646 \| good	11.397 \| good	0.995 \| good	16.938 \| good	0.52 \| good
2025-10-25T05:00:00.000Z	54 \| moderate	10.992 \| good	39.288 \| good	8.941 \| good	1.155 \| good	15.101 \| good	0.441 \| good
2025-10-25T06:00:00.000Z	52 \| moderate	9.795 \| good	30.824 \| good	6.865 \| good	0.906 \| good	14.269 \| good	0.347 \| good
2025-10-25T07:00:00.000Z	49 \| good	9.25 \| good	31.141 \| good	6.141 \| good	0.88 \| good	13.713 \| good	0.381 \| good
2025-10-25T08:00:00.000Z	44 \| good	7.908 \| good	22.375 \| good	13.063 \| good	0.811 \| good	13.277 \| good	0.347 \| good
2025-10-25T09:00:00.000Z	52 \| moderate	9.518 \| good	29.183 \| good	10.412 \| good	0.824 \| good	12.956 \| good	0.355 \| good
2025-10-25T10:00:00.000Z	49 \| good	8.89 \| good	28.425 \| good	5.95 \| good	0.943 \| good	12.879 \| good	0.333 \| good
2025-10-25T11:00:00.000Z	49 \| good	9.209 \| good	30.533 \| good	3.495 \| good	0.928 \| good	11.907 \| good	0.388 \| good
2025-10-25T12:00:00.000Z	44 \| good	8.288 \| good	26.585 \| good	6.469 \| good	0.824 \| good	11.081 \| good	0.339 \| good
2025-10-25T13:00:00.000Z	49 \| good	8.525 \| good	25.924 \| good	2.169 \| good	0.85 \| good	12.86 \| good	0.321 \| good
2025-10-25T14:00:00.000Z	49 \| good	8.729 \| good	27.967 \| good	3.264 \| good	0.679 \| good	17.462 \| good	0.395 \| good
2025-10-25T15:00:00.000Z	49 \| good	8.816 \| good	28.809 \| good	3.862 \| good	1.138 \| good	16.304 \| good	0.358 \| good
2025-10-25T16:00:00.000Z	38 \| good	7.332 \| good	22.067 \| good	9.103 \| good	0.844 \| good	11.904 \| good	0.201 \| good
2025-10-25T17:00:00.000Z	38 \| good	7.428 \| good	24.139 \| good	13.5 \| good	0.946 \| good	6.229 \| good	0.164 \| good
2025-10-25T18:00:00.000Z	27 \| good	5.077 \| good	17.232 \| good	17.757 \| good	1.68 \| good	4.928 \| good	0.186 \| good
2025-10-25T19:00:00.000Z	27 \| good	5.133 \| good	18.391 \| good	21.497 \| good	1.612 \| good	4.697 \| good	0.192 \| good
2025-10-25T20:00:00.000Z	27 \| good	5.21 \| good	17.387 \| good	25.103 \| good	1.433 \| good	3.504 \| good	0.192 \| good
2025-10-25T21:00:00.000Z	27 \| good	5.151 \| good	15.079 \| good	27.342 \| good	0.722 \| good	3.327 \| good	0.192 \| good
2025-10-25T22:00:00.000Z	27 \| good	4.837 \| good	13.811 \| good	28.518 \| good	0.636 \| good	3.752 \| good	0.158 \| good
2025-10-25T23:00:00.000Z	33 \| good	5.679 \| good	16.092 \| good	28.375 \| good	0.554 \| good	5.648 \| good	0.173 \| good
2025-10-26T00:00:00.000Z	33 \| good	5.951 \| good	17.789 \| good	28.876 \| good	0.799 \| good	12.334 \| good	0.208 \| good
2025-10-26T01:00:00.000Z	33 \| good	6.288 \| good	22.038 \| good	28.222 \| good	1.245 \| good	15.902 \| good	0.289 \| good
2025-10-26T02:00:00.000Z	33 \| good	6.242 \| good	20.746 \| good	27.833 \| good	1.249 \| good	16.447 \| good	0.34 \| good
2025-10-26T03:00:00.000Z	38 \| good	6.637 \| good	22.301 \| good	25.62 \| good	1.021 \| good	18.517 \| good	0.281 \| good
2025-10-26T04:00:00.000Z	44 \| good	7.778 \| good	25.261 \| good	26.169 \| good	0.98 \| good	15.717 \| good	0.238 \| good
2025-10-26T05:00:00.000Z	38 \| good	7.19 \| good	25.89 \| good	24.83 \| good	1.009 \| good	13.867 \| good	0.26 \| good
2025-10-26T06:00:00.000Z	38 \| good	6.533 \| good	19.329 \| good	25.24 \| good	1.354 \| good	9.13 \| good	0.425 \| good
2025-10-26T07:00:00.000Z	38 \| good	7.136 \| good	23.431 \| good	24.336 \| good	1.847 \| good	9.45 \| good	0.425 \| good
2025-10-26T08:00:00.000Z	44 \| good	8.248 \| good	29.514 \| good	24.086 \| good	1.082 \| good	9.295 \| good	0.314 \| good
2025-10-26T09:00:00.000Z	44 \| good	8.248 \| good	29.514 \| good	24.086 \| good	1.082 \| good	9.295 \| good	0.314 \| good
2025-10-25T09:00:00.000Z	13 \| good	1.819 \| good	7.51 \| good	14.495 \| good	1.785 \| good	10.397 \| good	0.156 \| good
2025-10-25T10:00:00.000Z	22 \| good	4.373 \| good	19.153 \| good	9.1 \| good	1.883 \| good	11.382 \| good	0.163 \| good
2025-10-25T11:00:00.000Z	33 \| good	5.799 \| good	25.297 \| good	6.932 \| good	1.981 \| good	12.366 \| good	0.17 \| good
2025-10-25T12:00:00.000Z	33 \| good	6.425 \| good	28.061 \| good	5.403 \| good	2.079 \| good	13.351 \| good	0.176 \| good
2025-10-25T13:00:00.000Z	38 \| good	6.572 \| good	28.927 \| good	6.79 \| good	2.257 \| good	12.072 \| good	0.184 \| good
2025-10-25T14:00:00.000Z	38 \| good	6.9 \| good	30.286 \| good	15.265 \| good	2.435 \| good	10.793 \| good	0.192 \| good
2025-10-25T15:00:00.000Z	38 \| good	7.411 \| good	32.576 \| good	19.533 \| good	2.613 \| good	9.514 \| good	0.199 \| good
2025-10-25T16:00:00.000Z	44 \| good	7.594 \| good	33.325 \| good	23.951 \| good	2.69 \| good	7.964 \| good	0.189 \| good
2025-10-25T17:00:00.000Z	38 \| good	7.076 \| good	31.536 \| good	26.208 \| good	2.767 \| good	6.415 \| good	0.179 \| good
2025-10-25T18:00:00.000Z	33 \| good	6.384 \| good	27.875 \| good	26.244 \| good	2.845 \| good	4.865 \| good	0.169 \| good
2025-10-25T19:00:00.000Z	33 \| good	5.644 \| good	24.708 \| good	26.778 \| good	2.951 \| good	5.249 \| good	0.173 \| good
2025-10-25T20:00:00.000Z	27 \| good	5.019 \| good	21.741 \| good	25.909 \| good	3.057 \| good	5.633 \| good	0.177 \| good
2025-10-25T21:00:00.000Z	27 \| good	4.668 \| good	20.58 \| good	27.274 \| good	3.163 \| good	6.018 \| good	0.18 \| good
2025-10-25T22:00:00.000Z	30 \| good	3.224 \| good	13.749 \| good	31.687 \| good	2.977 \| good	10.137 \| good	0.202 \| good
2025-10-25T23:00:00.000Z	31 \| good	1.368 \| good	5.593 \| good	34.239 \| good	2.791 \| good	14.256 \| good	0.223 \| good
2025-10-26T00:00:00.000Z	31 \| good	0.453 \| good	1.812 \| good	34.416 \| good	2.605 \| good	18.375 \| good	0.244 \| good
2025-10-26T01:00:00.000Z	28 \| good	0.758 \| good	2.977 \| good	29.816 \| good	2.405 \| good	17.533 \| good	0.234 \| good
2025-10-26T02:00:00.000Z	26 \| good	1.333 \| good	5.292 \| good	27.688 \| good	2.205 \| good	16.692 \| good	0.224 \| good
2025-10-26T03:00:00.000Z	30 \| good	4.946 \| good	21.429 \| good	31.672 \| good	2.005 \| good	15.85 \| good	0.214 \| good
2025-10-26T04:00:00.000Z	31 \| good	4.923 \| good	21.43 \| good	32.808 \| good	2.035 \| good	14.383 \| good	0.213 \| good
2025-10-26T05:00:00.000Z	28 \| good	4.296 \| good	18.523 \| good	29.74 \| good	2.065 \| good	12.916 \| good	0.211 \| good
2025-10-26T06:00:00.000Z	25 \| good	3.491 \| good	15.298 \| good	27.36 \| good	2.096 \| good	11.448 \| good	0.21 \| good
2025-10-26T07:00:00.000Z	23 \| good	3.516 \| good	15.102 \| good	25.131 \| good	2.64 \| good	11.027 \| good	0.211 \| good
2025-10-26T08:00:00.000Z	24 \| good	4.269 \| good	18.619 \| good	26.492 \| good	3.184 \| good	10.605 \| good	0.212 \| good
2025-10-26T09:00:00.000Z	27 \| good	4.775 \| good	20.885 \| good	26.918 \| good	3.729 \| good	10.184 \| good	0.213 \| good
2025-10-26T10:00:00.000Z	38 \| good	7.475 \| good	32.914 \| good	25.101 \| good	3.592 \| good	10.544 \| good	0.214 \| good
2025-10-26T11:00:00.000Z	49 \| good	9.161 \| good	40.416 \| good	27.115 \| good	3.455 \| good	10.903 \| good	0.215 \| good
2025-10-26T12:00:00.000Z	49 \| good	9.454 \| good	42.082 \| good	29.581 \| good	3.319 \| good	11.263 \| good	0.215 \| good
2025-10-26T13:00:00.000Z	44 \| good	7.743 \| good	34.177 \| good	28.496 \| good	2.835 \| good	9.662 \| good	0.209 \| good
2025-10-26T14:00:00.000Z	49 \| good	8.693 \| good	38.451 \| good	27.804 \| good	2.351 \| good	8.062 \| good	0.202 \| good
2025-10-26T15:00:00.000Z	49 \| good	9.473 \| good	42.106 \| good	28.589 \| good	1.868 \| good	6.461 \| good	0.196 \| good
2025-10-26T16:00:00.000Z	54 \| moderate	10.716 \| good	47.451 \| good	30.042 \| good	1.765 \| good	5.518 \| good	0.184 \| good
2025-10-26T17:00:00.000Z	54 \| moderate	10.599 \| good	46.886 \| good	31.216 \| good	1.662 \| good	4.576 \| good	0.171 \| good
2025-10-26T18:00:00.000Z	52 \| moderate	9.626 \| good	42.757 \| good	32.514 \| good	1.558 \| good	3.633 \| good	0.159 \| good
2025-10-26T19:00:00.000Z	49 \| good	8.723 \| good	38.515 \| good	33.401 \| good	1.464 \| good	3.708 \| good	0.158 \| good
2025-10-26T20:00:00.000Z	44 \| good	7.945 \| good	35.054 \| good	35.932 \| good	1.37 \| good	3.783 \| good	0.156 \| good
2025-10-26T21:00:00.000Z	38 \| good	6.898 \| good	30.492 \| good	38.015 \| good	1.276 \| good	3.858 \| good	0.154 \| good
2025-10-26T22:00:00.000Z	33 \| good	6.33 \| good	27.821 \| good	35.43 \| good	1.227 \| good	6.348 \| good	0.166 \| good
2025-10-26T23:00:00.000Z	33 \| good	5.135 \| good	22.591 \| good	35.523 \| good	1.178 \| good	8.838 \| good	0.178 \| good
2025-10-27T00:00:00.000Z	33 \| good	6.065 \| good	26.746 \| good	34.915 \| good	1.129 \| good	11.327 \| good	0.19 \| good
2025-10-27T01:00:00.000Z	30 \| good	3.121 \| good	13.166 \| good	31.522 \| good	1.093 \| good	10.193 \| good	0.182 \| good
2025-10-27T02:00:00.000Z	30 \| good	3.38 \| good	14.783 \| good	31.997 \| good	1.058 \| good	9.058 \| good	0.174 \| good
2025-10-27T03:00:00.000Z	29 \| good	3.935 \| good	17.225 \| good	31.145 \| good	1.022 \| good	7.923 \| good	0.166 \| good
2025-10-27T04:00:00.000Z	28 \| good	3.002 \| good	12.441 \| good	29.93 \| good	0.969 \| good	7.101 \| good	0.161 \| good
2025-10-27T05:00:00.000Z	24 \| good	4.092 \| good	17.888 \| good	25.851 \| good	0.917 \| good	6.28 \| good	0.156 \| good
2025-10-27T06:00:00.000Z	27 \| good	5.156 \| good	5.248 \| good	28.838 \| good	0.869 \| good	5.439 \| good	0.151 \| good
2025-10-27T07:00:00.000Z	44 \| good	7.963 \| good	34.919 \| good	24.316 \| good	0.852 \| good	5.067 \| good	0.145 \| good
2025-10-27T08:00:00.000Z	44 \| good	7.96 \| good	34.931 \| good	24.973 \| good	0.84 \| good	4.675 \| good	0.14 \| good

Winnetka, Illinois live air quality index now

Major air pollutants in Winnetka, Illinois

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

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Winnetka, Illinois air quality map: Track AQI near you

Air quality in nearby cities

Wilmette, Illinois

Evanston, Illinois

Glenview, Illinois

Northbrook, Illinois

Skokie, Illinois

Morton Grove, Illinois

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Frequently asked questions

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What is the current concentration of PM2.5 in Winnetka, Illinois?

What is the current concentration of PM10 in Winnetka, Illinois?

What is the current concentration of carbon monoxide (CO) in Winnetka, Illinois?

What is the current concentration of sulfur dioxide (SO2) in Winnetka, Illinois?

What is the current concentration of ozone (O3) in Winnetka, Illinois?

What is the current concentration of nitrogen dioxide (NO2) in Winnetka, Illinois?

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 Winnetka, Illinois?

What is the current concentration of PM₁₀ in Winnetka, Illinois?

What is the current concentration of sulfur dioxide (SO₂) in Winnetka, Illinois?

What is the current concentration of ozone (O₃) in Winnetka, Illinois?

What is the current concentration of nitrogen dioxide (NO₂) in Winnetka, Illinois?