Live air quality index in Westchester, Illinois today

Stay updated with real-time air quality in Westchester, 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)

Moderate

Westchester, Illinois

Last updated: ... (Local time)

Major air pollutants in Westchester, Illinois

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

15.51 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

60.48 μg/m³

155

255

425

605+

Ozone (O₃)

3.40 ppb

201

201+

Sulfur Dioxide (SO₂)

0.81 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

13.74 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.44 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

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Westchester, Illinois

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Track live Westchester, Illinois air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-23T09:00:00.000Z	11 \| good	2 \| good	5 \| good	9.744 \| good	0.787 \| good	9.022 \| good	0.199 \| good
2025-10-23T10:00:00.000Z	11 \| good	2.4 \| good	5 \| good	9.266 \| good	0.611 \| good	10.792 \| good	0.217 \| good
2025-10-23T11:00:00.000Z	16 \| good	2.8 \| good	12 \| good	5.163 \| good	0.642 \| good	10.799 \| good	0.269 \| good
2025-10-23T12:00:00.000Z	16 \| good	2.8 \| good	12 \| good	3.021 \| good	0.678 \| good	9.825 \| good	0.302 \| good
2025-10-23T13:00:00.000Z	16 \| good	3.1 \| good	14 \| good	2.525 \| good	0.781 \| good	11.312 \| good	0.316 \| good
2025-10-23T14:00:00.000Z	22 \| good	3.9 \| good	17 \| good	4.381 \| good	0.816 \| good	12.257 \| good	0.384 \| good
2025-10-23T15:00:00.000Z	22 \| good	4 \| good	18 \| good	7.405 \| good	0.799 \| good	9.966 \| good	0.301 \| good
2025-10-23T16:00:00.000Z	22 \| good	3.8 \| good	17 \| good	9.547 \| good	1.59 \| good	7.71 \| good	0.257 \| good
2025-10-23T17:00:00.000Z	22 \| good	3.8 \| good	17 \| good	13.395 \| good	1.335 \| good	5.326 \| good	0.242 \| good
2025-10-23T18:00:00.000Z	16 \| good	3.3 \| good	15 \| good	15.419 \| good	0.942 \| good	5.099 \| good	0.223 \| good
2025-10-23T19:00:00.000Z	16 \| good	3.1 \| good	14 \| good	17.181 \| good	1.056 \| good	4.792 \| good	0.257 \| good
2025-10-23T20:00:00.000Z	18 \| good	2.8 \| good	12 \| good	18.596 \| good	0.963 \| good	5.106 \| good	0.291 \| good
2025-10-23T21:00:00.000Z	19 \| good	2.4 \| good	10 \| good	20.923 \| good	0.93 \| good	4.532 \| good	0.291 \| good
2025-10-23T22:00:00.000Z	19 \| good	2.2 \| good	9 \| good	20.994 \| good	0.941 \| good	4.617 \| good	0.291 \| good
2025-10-23T23:00:00.000Z	20 \| good	2.2 \| good	9 \| good	21.767 \| good	0.838 \| good	4.004 \| good	0.291 \| good
2025-10-24T00:00:00.000Z	21 \| good	2.5 \| good	10 \| good	23.167 \| good	0.976 \| good	7.115 \| good	0.272 \| good
2025-10-24T01:00:00.000Z	19 \| good	3 \| good	12 \| good	20.622 \| good	1.861 \| good	10.692 \| good	0.287 \| good
2025-10-24T02:00:00.000Z	16 \| good	3 \| good	12 \| good	16.894 \| good	1.255 \| good	15.707 \| good	0.335 \| good
2025-10-24T03:00:00.000Z	33 \| good	6.442 \| good	28.735 \| good	1.647 \| good	1.091 \| good	13.838 \| good	0.183 \| good
2025-10-24T04:00:00.000Z	22 \| good	4 \| good	18 \| good	9.052 \| good	1.285 \| good	21.402 \| good	0.312 \| good
2025-10-24T05:00:00.000Z	22 \| good	4.3 \| good	19 \| good	8.087 \| good	1.065 \| good	16.199 \| good	0.341 \| good
2025-10-24T06:00:00.000Z	27 \| good	4.9 \| good	21 \| good	5.423 \| good	1.044 \| good	15.948 \| good	0.356 \| good
2025-10-24T07:00:00.000Z	27 \| good	5.1 \| good	22 \| good	4.4 \| good	1.306 \| good	13.633 \| good	0.371 \| good
2025-10-24T08:00:00.000Z	27 \| good	5 \| good	12 \| good	5.016 \| good	1.28 \| good	12.112 \| good	0.341 \| good
2025-10-24T09:00:00.000Z	27 \| good	4.7 \| good	12 \| good	4.841 \| good	0.891 \| good	10.701 \| good	0.34 \| good
2025-10-24T10:00:00.000Z	27 \| good	4.7 \| good	12 \| good	4.672 \| good	1.143 \| good	16.014 \| good	0.36 \| good
2025-10-24T11:00:00.000Z	27 \| good	4.6 \| good	20 \| good	4.066 \| good	1.18 \| good	15.032 \| good	0.304 \| good
2025-10-24T12:00:00.000Z	27 \| good	4.7 \| good	21 \| good	2.825 \| good	1.133 \| good	14.493 \| good	0.336 \| good
2025-10-24T13:00:00.000Z	27 \| good	4.9 \| good	21 \| good	2.214 \| good	1.052 \| good	13.564 \| good	0.35 \| good
2025-10-24T14:00:00.000Z	27 \| good	5.1 \| good	22 \| good	1.396 \| good	1.206 \| good	18.012 \| good	0.56 \| good
2025-10-24T15:00:00.000Z	33 \| good	5.8 \| good	25 \| good	3.977 \| good	1.566 \| good	16.948 \| good	0.28 \| good
2025-10-24T16:00:00.000Z	33 \| good	5.5 \| good	24 \| good	5.476 \| good	4.128 \| good	14.494 \| good	0.192 \| good
2025-10-24T17:00:00.000Z	27 \| good	4.8 \| good	21 \| good	10.3 \| good	1.108 \| good	6.518 \| good	0.198 \| good
2025-10-24T18:00:00.000Z	27 \| good	4.8 \| good	21 \| good	12.79 \| good	0.926 \| good	3.002 \| good	0.257 \| good
2025-10-24T19:00:00.000Z	22 \| good	3.6 \| good	16 \| good	15.719 \| good	1.013 \| good	4.213 \| good	0.269 \| good
2025-10-24T20:00:00.000Z	22 \| good	3.5 \| good	16 \| good	17.439 \| good	0.796 \| good	4.133 \| good	0.272 \| good
2025-10-24T21:00:00.000Z	22 \| good	3.7 \| good	16 \| good	18.313 \| good	0.862 \| good	3.785 \| good	0.272 \| good
2025-10-24T22:00:00.000Z	22 \| good	4.2 \| good	19 \| good	19.22 \| good	1.101 \| good	8.958 \| good	0.238 \| good
2025-10-24T23:00:00.000Z	27 \| good	4.5 \| good	20 \| good	21.889 \| good	2.155 \| good	10.004 \| good	0.238 \| good
2025-10-25T00:00:00.000Z	27 \| good	4.9 \| good	21 \| good	19.237 \| good	2.035 \| good	13.955 \| good	0.268 \| good
2025-10-25T01:00:00.000Z	27 \| good	4.9 \| good	21 \| good	14.879 \| good	0.71 \| good	22.101 \| good	0.376 \| good
2025-10-25T02:00:00.000Z	33 \| good	5.8 \| good	25 \| good	11.667 \| good	0.676 \| good	16.938 \| good	0.425 \| good
2025-10-25T03:00:00.000Z	60 \| moderate	13.934 \| fine	62.024 \| fine	1.382 \| good	2.547 \| good	21.835 \| good	0.241 \| good
2025-10-25T04:00:00.000Z	62 \| moderate	15.4 \| fine	69 \| fine	7.511 \| good	0.942 \| good	17.013 \| good	0.579 \| good
2025-10-25T05:00:00.000Z	64 \| moderate	16.4 \| fine	73 \| fine	4.098 \| good	1.119 \| good	14.631 \| good	0.54 \| good
2025-10-25T06:00:00.000Z	69 \| moderate	19 \| fine	85 \| fine	3.919 \| good	0.84 \| good	13.781 \| good	0.384 \| good
2025-10-25T07:00:00.000Z	69 \| moderate	19 \| fine	62 \| fine	3.69 \| good	0.808 \| good	13.147 \| good	0.467 \| good
2025-10-25T08:00:00.000Z	64 \| moderate	15.509 \| fine	60.484 \| fine	3.403 \| good	0.811 \| good	13.745 \| good	0.439 \| good
2025-10-23T00:00:00.000Z	15 \| good	0.739 \| good	2.696 \| good	15.833 \| good	0.551 \| good	5.589 \| good	0.147 \| good
2025-10-23T01:00:00.000Z	15 \| good	0.769 \| good	2.88 \| good	16.083 \| good	0.55 \| good	5.356 \| good	0.145 \| good
2025-10-23T02:00:00.000Z	14 \| good	0.622 \| good	2.578 \| good	15.437 \| good	0.549 \| good	5.123 \| good	0.142 \| good
2025-10-23T03:00:00.000Z	12 \| good	0.747 \| good	2.697 \| good	13.246 \| good	0.547 \| good	4.89 \| good	0.14 \| good
2025-10-23T04:00:00.000Z	13 \| good	0.469 \| good	1.77 \| good	14.249 \| good	0.55 \| good	4.608 \| good	0.139 \| good
2025-10-23T05:00:00.000Z	14 \| good	0.402 \| good	1.336 \| good	14.561 \| good	0.552 \| good	4.326 \| good	0.138 \| good
2025-10-23T06:00:00.000Z	15 \| good	0.715 \| good	2.768 \| good	15.934 \| good	0.555 \| good	4.044 \| good	0.137 \| good
2025-10-23T07:00:00.000Z	15 \| good	0.675 \| good	2.372 \| good	16.135 \| good	0.584 \| good	4.02 \| good	0.136 \| good
2025-10-23T08:00:00.000Z	15 \| good	0.631 \| good	2.257 \| good	15.543 \| good	0.614 \| good	3.995 \| good	0.135 \| good
2025-10-23T09:00:00.000Z	13 \| good	0.634 \| good	2.311 \| good	13.991 \| good	0.644 \| good	3.97 \| good	0.134 \| good
2025-10-23T10:00:00.000Z	11 \| good	0.33 \| good	1.116 \| good	11.643 \| good	0.701 \| good	4.714 \| good	0.137 \| good
2025-10-23T11:00:00.000Z	5 \| good	1.282 \| good	5.056 \| good	4.764 \| good	0.758 \| good	5.457 \| good	0.141 \| good
2025-10-23T12:00:00.000Z	16 \| good	2.939 \| good	12.89 \| good	1.968 \| good	0.815 \| good	6.201 \| good	0.144 \| good
2025-10-23T13:00:00.000Z	11 \| good	1.955 \| good	7.929 \| good	5.957 \| good	0.858 \| good	5.537 \| good	0.146 \| good
2025-10-23T14:00:00.000Z	16 \| good	3.144 \| good	13.574 \| good	11.315 \| good	0.901 \| good	4.872 \| good	0.149 \| good
2025-10-23T15:00:00.000Z	18 \| good	2.721 \| good	11.098 \| good	18.576 \| good	0.945 \| good	4.207 \| good	0.151 \| good
2025-10-23T16:00:00.000Z	19 \| good	2.191 \| good	9.098 \| good	21.335 \| good	0.818 \| good	3.555 \| good	0.142 \| good
2025-10-23T17:00:00.000Z	21 \| good	1.968 \| good	8.141 \| good	23.226 \| good	0.692 \| good	2.902 \| good	0.133 \| good
2025-10-23T18:00:00.000Z	22 \| good	1.628 \| good	6.478 \| good	23.779 \| good	0.565 \| good	2.249 \| good	0.124 \| good
2025-10-23T19:00:00.000Z	21 \| good	1.873 \| good	7.93 \| good	23.403 \| good	0.547 \| good	2.303 \| good	0.124 \| good
2025-10-23T20:00:00.000Z	23 \| good	1.661 \| good	6.62 \| good	25.281 \| good	0.529 \| good	2.357 \| good	0.123 \| good
2025-10-23T21:00:00.000Z	23 \| good	0.981 \| good	3.77 \| good	25.245 \| good	0.51 \| good	2.411 \| good	0.123 \| good
2025-10-23T22:00:00.000Z	19 \| good	2.164 \| good	8.916 \| good	20.471 \| good	0.608 \| good	5.033 \| good	0.139 \| good
2025-10-23T23:00:00.000Z	27 \| good	5.364 \| good	23.284 \| good	10.05 \| good	0.705 \| good	7.656 \| good	0.156 \| good
2025-10-24T00:00:00.000Z	33 \| good	5.995 \| good	26.449 \| good	8.72 \| good	0.802 \| good	10.279 \| good	0.172 \| good
2025-10-24T01:00:00.000Z	11 \| good	2.111 \| good	8.919 \| good	6.6 \| good	0.859 \| good	10.936 \| good	0.175 \| good
2025-10-24T02:00:00.000Z	11 \| good	1.359 \| good	5.603 \| good	2.431 \| good	0.916 \| good	11.593 \| good	0.177 \| good
2025-10-24T03:00:00.000Z	11 \| good	1.684 \| good	6.834 \| good	0.489 \| good	0.973 \| good	12.249 \| good	0.179 \| good
2025-10-24T04:00:00.000Z	16 \| good	2.639 \| good	10.628 \| good	0.989 \| good	0.964 \| good	11.948 \| good	0.179 \| good
2025-10-24T05:00:00.000Z	11 \| good	2.387 \| good	9.833 \| good	3.63 \| good	0.955 \| good	11.646 \| good	0.179 \| good
2025-10-24T06:00:00.000Z	11 \| good	1.751 \| good	7.264 \| good	6.011 \| good	0.946 \| good	11.345 \| good	0.178 \| good
2025-10-24T07:00:00.000Z	11 \| good	2.263 \| good	9.492 \| good	4.612 \| good	0.946 \| good	10.933 \| good	0.175 \| good
2025-10-24T08:00:00.000Z	16 \| good	2.704 \| good	10.86 \| good	3.994 \| good	0.946 \| good	10.521 \| good	0.172 \| good
2025-10-24T09:00:00.000Z	22 \| good	3.61 \| good	15.984 \| good	2.721 \| good	0.945 \| good	10.11 \| good	0.169 \| good
2025-10-24T10:00:00.000Z	27 \| good	4.588 \| good	19.935 \| good	1.31 \| good	1.011 \| good	11.348 \| good	0.176 \| good
2025-10-24T11:00:00.000Z	44 \| good	7.841 \| good	34.401 \| good	0.467 \| good	1.076 \| good	12.586 \| good	0.183 \| good
2025-10-24T12:00:00.000Z	56 \| moderate	12.37 \| fine	55.665 \| fine	0.21 \| good	1.141 \| good	13.824 \| good	0.19 \| good
2025-10-24T13:00:00.000Z	52 \| moderate	9.828 \| good	43.655 \| good	1.891 \| good	1.355 \| good	12.337 \| good	0.2 \| good
2025-10-24T14:00:00.000Z	44 \| good	7.577 \| good	33.23 \| good	5.273 \| good	1.568 \| good	10.85 \| good	0.209 \| good
2025-10-24T15:00:00.000Z	33 \| good	6.264 \| good	27.971 \| good	12.711 \| good	1.782 \| good	9.363 \| good	0.219 \| good
2025-10-24T16:00:00.000Z	33 \| good	6.325 \| good	28.191 \| good	18.212 \| good	1.646 \| good	7.34 \| good	0.194 \| good
2025-10-24T17:00:00.000Z	33 \| good	6.16 \| good	27.337 \| good	23.404 \| good	1.511 \| good	5.318 \| good	0.169 \| good
2025-10-24T18:00:00.000Z	33 \| good	5.944 \| good	26.305 \| good	26.972 \| good	1.375 \| good	3.295 \| good	0.144 \| good
2025-10-24T19:00:00.000Z	33 \| good	6.094 \| good	27.097 \| good	27.63 \| good	1.485 \| good	3.72 \| good	0.146 \| good
2025-10-24T20:00:00.000Z	33 \| good	6.49 \| good	28.887 \| good	25.658 \| good	1.596 \| good	4.145 \| good	0.148 \| good
2025-10-24T21:00:00.000Z	38 \| good	7.109 \| good	31.704 \| good	24.818 \| good	1.707 \| good	4.569 \| good	0.151 \| good
2025-10-24T22:00:00.000Z	54 \| moderate	11.272 \| good	49.99 \| good	13.227 \| good	1.997 \| good	12.013 \| good	0.212 \| good
2025-10-24T23:00:00.000Z	60 \| moderate	14.136 \| fine	63.013 \| fine	9.578 \| good	2.287 \| good	19.457 \| good	0.274 \| good

Westchester

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Source: Ambee Data Sources

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