What is the sulfur dioxide (SO2) level in Wilmslow, Cheshire East at the moment?

Currently, Wilmslow, Cheshire East has a sulfur dioxide (SO2) concentration of 0.763 ppb.

What is the ozone (O3) level in Wilmslow, Cheshire East at the moment?

The current ozone (O3) level in Wilmslow, Cheshire East at the moment is 23.535 ppm.

What is the nitrogen dioxide (NO2) level in Wilmslow, Cheshire East at the moment?

Nitrogen dioxide (NO2) level in Wilmslow, Cheshire East at the moment is 19.626 ppb.

Live air quality index in Wilmslow, Cheshire East today

Q: What is the PM2.5 level in Wilmslow, Cheshire East at the moment?

PM2.5 levels in Wilmslow, Cheshire East are currently 5.063 μg/m3.

Q: What is the PM10 level in Wilmslow, Cheshire East at the moment?

The PM10 concentration in Wilmslow, Cheshire East is 10.511 μg/m3 at the moment.

Stay updated with real-time air quality in Wilmslow, Cheshire East 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

Wilmslow, Cheshire East

Last updated: ... (Local time)

Major air pollutants in Wilmslow, Cheshire East

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

5.06 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

10.51 μg/m³

155

255

425

605+

Ozone (O₃)

23.54 ppb

201

201+

Sulfur Dioxide (SO₂)

0.76 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

19.63 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.31 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Wilmslow, Cheshire East

Get Live Pollen Counts

Wilmslow, Cheshire East

Scroll To Air Quality Map

Track live Wilmslow, Cheshire East air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-09-26T23:00:00.000Z	27 \| good	4.816 \| good	13.765 \| good	29.423 \| good	0.573 \| good	7.357 \| good	0.297 \| good
2026-09-27T00:00:00.000Z	27 \| good	5.147 \| good	11.101 \| good	26.505 \| good	0.475 \| good	7.986 \| good	0.226 \| good
2026-09-27T01:00:00.000Z	27 \| good	5.259 \| good	12.08 \| good	27.384 \| good	0.479 \| good	6.1 \| good	0.229 \| good
2026-09-27T02:00:00.000Z	33 \| good	5.534 \| good	14.938 \| good	20.727 \| good	0.382 \| good	5.861 \| good	0.212 \| good
2026-09-27T03:00:00.000Z	27 \| good	5.323 \| good	11.048 \| good	13.256 \| good	0.499 \| good	7.51 \| good	0.217 \| good
2026-09-27T04:00:00.000Z	27 \| good	5.355 \| good	12.249 \| good	11.591 \| good	0.43 \| good	8.41 \| good	0.205 \| good
2026-09-27T05:00:00.000Z	27 \| good	5.439 \| good	10.474 \| good	13.304 \| good	0.43 \| good	4.916 \| good	0.053 \| good
2026-09-27T06:00:00.000Z	33 \| good	5.652 \| good	10.574 \| good	8.56 \| good	0.382 \| good	2.94 \| good	0.05 \| good
2026-09-27T07:00:00.000Z	33 \| good	5.795 \| good	10.831 \| good	11.056 \| good	0.429 \| good	6.359 \| good	0.051 \| good
2026-09-27T08:00:00.000Z	33 \| good	5.692 \| good	10.823 \| good	15.041 \| good	0.429 \| good	4.6 \| good	0.054 \| good
2026-09-27T09:00:00.000Z	27 \| good	5.27 \| good	17.361 \| good	15.687 \| good	0.429 \| good	4.403 \| good	0.052 \| good
2026-09-27T10:00:00.000Z	33 \| good	6.265 \| good	11.697 \| good	18.196 \| good	0.495 \| good	4.536 \| good	0.063 \| good
2026-09-27T11:00:00.000Z	33 \| good	6.118 \| good	14.064 \| good	20.124 \| good	0.539 \| good	4.706 \| good	0.051 \| good
2026-09-27T12:00:00.000Z	33 \| good	5.965 \| good	11.611 \| good	19.557 \| good	0.8 \| good	4.528 \| good	0.048 \| good
2026-09-27T13:00:00.000Z	33 \| good	5.888 \| good	12.296 \| good	21.938 \| good	0.684 \| good	5.997 \| good	0.046 \| good
2026-09-27T14:00:00.000Z	33 \| good	6.245 \| good	13.024 \| good	24.357 \| good	0.657 \| good	6.292 \| good	0.046 \| good
2026-09-27T15:00:00.000Z	38 \| good	6.527 \| good	12.415 \| good	26.876 \| good	0.654 \| good	4.918 \| good	0.049 \| good
2026-09-27T16:00:00.000Z	33 \| good	6.094 \| good	12.411 \| good	27.818 \| good	0.59 \| good	4.848 \| good	0.048 \| good
2026-09-27T17:00:00.000Z	33 \| good	6.477 \| good	12.292 \| good	29.203 \| good	0.491 \| good	4.782 \| good	0.048 \| good
2026-09-27T18:00:00.000Z	38 \| good	6.621 \| good	11.151 \| good	29.093 \| good	0.492 \| good	3.783 \| good	0.057 \| good
2026-09-27T19:00:00.000Z	30 \| good	5.177 \| good	13.77 \| good	31.928 \| good	0.491 \| good	6.134 \| good	0.067 \| good
2026-09-27T20:00:00.000Z	30 \| good	5.049 \| good	11.314 \| good	32.146 \| good	0.493 \| good	7.389 \| good	0.076 \| good
2026-09-27T21:00:00.000Z	31 \| good	4.884 \| good	14.195 \| good	33.804 \| good	0.514 \| good	7.24 \| good	0.093 \| good
2026-09-27T22:00:00.000Z	33 \| good	5.775 \| good	10.766 \| good	30.447 \| good	0.629 \| good	8.033 \| good	0.078 \| good
2026-09-27T23:00:00.000Z	29 \| good	5.004 \| good	13.736 \| good	31.294 \| good	0.492 \| good	10.351 \| good	0.086 \| good
2026-09-28T00:00:00.000Z	27 \| good	4.816 \| good	16.458 \| good	29.302 \| good	0.382 \| good	9.1 \| good	0.255 \| good
2026-09-28T01:00:00.000Z	33 \| good	5.714 \| good	14.815 \| good	29.33 \| good	0.497 \| good	5.437 \| good	0.18 \| good
2026-09-28T02:00:00.000Z	33 \| good	6.168 \| good	12.845 \| good	28.595 \| good	0.382 \| good	4.963 \| good	0.226 \| good
2026-09-28T03:00:00.000Z	27 \| good	5.014 \| good	13.317 \| good	25.322 \| good	0.45 \| good	5.613 \| good	0.214 \| good
2026-09-28T04:00:00.000Z	27 \| good	5.488 \| good	12.42 \| good	21.308 \| good	0.446 \| good	8.732 \| good	0.218 \| good
2026-09-28T05:00:00.000Z	27 \| good	4.931 \| good	9.003 \| good	19.782 \| good	0.436 \| good	4.783 \| good	0.197 \| good
2026-09-28T06:00:00.000Z	27 \| good	4.669 \| good	10.253 \| good	19.623 \| good	0.533 \| good	6.009 \| good	0.21 \| good
2026-09-28T07:00:00.000Z	27 \| good	4.606 \| good	9.379 \| good	25.006 \| good	0.641 \| good	10.094 \| good	0.279 \| good
2026-09-28T08:00:00.000Z	33 \| good	5.833 \| good	8.299 \| good	23.153 \| good	0.823 \| good	6.013 \| good	0.264 \| good
2026-09-28T09:00:00.000Z	33 \| good	6.036 \| good	8.911 \| good	18.85 \| good	0.875 \| good	5.671 \| good	0.235 \| good
2026-09-28T10:00:00.000Z	33 \| good	6.023 \| good	8.637 \| good	20.893 \| good	0.957 \| good	5.998 \| good	0.221 \| good
2026-09-28T11:00:00.000Z	27 \| good	4.639 \| good	11.069 \| good	17.037 \| good	0.851 \| good	3.677 \| good	0.212 \| good
2026-09-28T12:00:00.000Z	27 \| good	4.794 \| good	10.509 \| good	14.631 \| good	0.974 \| good	3.235 \| good	0.188 \| good
2026-09-28T13:00:00.000Z	22 \| good	3.962 \| good	8.959 \| good	13.327 \| good	0.722 \| good	6.86 \| good	0.165 \| good
2026-09-28T14:00:00.000Z	22 \| good	3.726 \| good	8.181 \| good	18.652 \| good	0.679 \| good	4.336 \| good	0.162 \| good
2026-09-28T15:00:00.000Z	22 \| good	3.704 \| good	7.229 \| good	18.002 \| good	0.573 \| good	7.457 \| good	0.156 \| good
2026-09-28T16:00:00.000Z	22 \| good	3.521 \| good	7.967 \| good	18.733 \| good	0.62 \| good	9.014 \| good	0.153 \| good
2026-09-28T17:00:00.000Z	24 \| good	4.287 \| good	8.409 \| good	26.233 \| good	0.498 \| good	9.292 \| good	0.169 \| good
2026-09-28T18:00:00.000Z	28 \| good	4.485 \| good	10.215 \| good	29.508 \| good	0.507 \| good	9.194 \| good	0.217 \| good
2026-09-28T19:00:00.000Z	30 \| good	4.339 \| good	8.859 \| good	31.6 \| good	0.455 \| good	6.23 \| good	0.253 \| good
2026-09-28T20:00:00.000Z	27 \| good	3.778 \| good	8.915 \| good	29.068 \| good	0.661 \| good	10.25 \| good	0.324 \| good
2026-09-28T21:00:00.000Z	27 \| good	4.966 \| good	13.008 \| good	28.907 \| good	0.772 \| good	10.463 \| good	0.312 \| good
2026-09-28T22:00:00.000Z	27 \| good	5.029 \| good	11.082 \| good	28.103 \| good	0.577 \| good	9.913 \| good	0.352 \| good
2026-09-28T22:00:00.000Z	27 \| good	5.063 \| good	10.511 \| good	23.535 \| good	0.763 \| good	19.626 \| good	0.312 \| good
2026-09-28T23:00:00.000Z	38 \| good	6.86 \| good	11.178 \| good	26.956 \| good	0.343 \| good	4.802 \| good	0.158 \| good
2026-09-29T00:00:00.000Z	33 \| good	5.64 \| good	10.087 \| good	27.112 \| good	0.291 \| good	3.743 \| good	0.152 \| good
2026-09-29T01:00:00.000Z	27 \| good	5.044 \| good	7.916 \| good	28.297 \| good	0.172 \| good	3.135 \| good	0.146 \| good
2026-09-29T02:00:00.000Z	27 \| good	4.128 \| good	6.422 \| good	29.401 \| good	0.128 \| good	2.512 \| good	0.14 \| good
2026-09-29T03:00:00.000Z	28 \| good	3.584 \| good	6.062 \| good	29.927 \| good	0.11 \| good	2.114 \| good	0.136 \| good
2026-09-29T04:00:00.000Z	29 \| good	3.315 \| good	5.437 \| good	31.14 \| good	0.1 \| good	1.912 \| good	0.134 \| good
2026-09-29T05:00:00.000Z	29 \| good	3.272 \| good	5.412 \| good	31.497 \| good	0.109 \| good	1.971 \| good	0.131 \| good
2026-09-29T06:00:00.000Z	29 \| good	3.376 \| good	5.302 \| good	31.146 \| good	0.123 \| good	2.16 \| good	0.13 \| good
2026-09-29T07:00:00.000Z	29 \| good	3.289 \| good	5.177 \| good	30.585 \| good	0.134 \| good	2.455 \| good	0.129 \| good
2026-09-29T08:00:00.000Z	28 \| good	3.592 \| good	6.168 \| good	30.127 \| good	0.138 \| good	2.719 \| good	0.127 \| good
2026-09-29T09:00:00.000Z	28 \| good	3.486 \| good	6.056 \| good	29.89 \| good	0.149 \| good	2.779 \| good	0.126 \| good
2026-09-29T10:00:00.000Z	28 \| good	3.715 \| good	5.831 \| good	29.678 \| good	0.144 \| good	2.574 \| good	0.126 \| good
2026-09-29T11:00:00.000Z	27 \| good	3.911 \| good	6.127 \| good	29.284 \| good	0.138 \| good	2.354 \| good	0.126 \| good
2026-09-29T12:00:00.000Z	27 \| good	4.161 \| good	6.725 \| good	28.922 \| good	0.139 \| good	2.276 \| good	0.127 \| good
2026-09-29T13:00:00.000Z	29 \| good	4.695 \| good	7.164 \| good	30.61 \| good	0.157 \| good	2.213 \| good	0.128 \| good
2026-09-29T14:00:00.000Z	31 \| good	5.404 \| good	7.731 \| good	32.69 \| good	0.175 \| good	2.199 \| good	0.13 \| good
2026-09-29T15:00:00.000Z	33 \| good	6.136 \| good	9.206 \| good	34.227 \| good	0.197 \| good	2.543 \| good	0.133 \| good
2026-09-29T16:00:00.000Z	44 \| good	7.593 \| good	11.386 \| good	37.223 \| good	0.21 \| good	2.62 \| good	0.137 \| good
2026-09-29T17:00:00.000Z	49 \| good	9.126 \| good	12.702 \| good	39.071 \| good	0.216 \| good	3.092 \| good	0.142 \| good
2026-09-29T18:00:00.000Z	49 \| good	8.988 \| good	12.691 \| good	40.689 \| good	0.267 \| good	3.77 \| good	0.148 \| good
2026-09-29T19:00:00.000Z	49 \| good	8.914 \| good	13.576 \| good	39.86 \| good	0.305 \| good	4.204 \| good	0.152 \| good
2026-09-29T20:00:00.000Z	52 \| moderate	10.403 \| good	14.664 \| good	37.825 \| good	0.342 \| good	4.432 \| good	0.153 \| good
2026-09-29T21:00:00.000Z	56 \| moderate	12.386 \| fine	15.198 \| good	35.437 \| good	0.327 \| good	4.53 \| good	0.154 \| good
2026-09-29T22:00:00.000Z	60 \| moderate	13.556 \| fine	17.103 \| good	34.039 \| good	0.307 \| good	4.306 \| good	0.151 \| good
2026-09-29T23:00:00.000Z	56 \| moderate	12.26 \| fine	17.926 \| good	33.694 \| good	0.281 \| good	4.184 \| good	0.148 \| good
2026-09-30T00:00:00.000Z	56 \| moderate	11.552 \| good	15.221 \| good	34.044 \| good	0.254 \| good	3.754 \| good	0.142 \| good
2026-09-30T01:00:00.000Z	52 \| moderate	9.583 \| good	11.791 \| good	34.097 \| good	0.212 \| good	3.023 \| good	0.136 \| good
2026-09-30T02:00:00.000Z	44 \| good	7.547 \| good	11.058 \| good	34.096 \| good	0.153 \| good	2.605 \| good	0.133 \| good
2026-09-30T03:00:00.000Z	38 \| good	6.616 \| good	9.701 \| good	33.998 \| good	0.134 \| good	2.192 \| good	0.133 \| good
2026-09-30T04:00:00.000Z	33 \| good	6.293 \| good	8.662 \| good	33.32 \| good	0.122 \| good	1.982 \| good	0.127 \| good
2026-09-30T05:00:00.000Z	33 \| good	6.092 \| good	8.914 \| good	32.981 \| good	0.111 \| good	1.921 \| good	0.125 \| good
2026-09-30T06:00:00.000Z	33 \| good	5.748 \| good	7.604 \| good	32.737 \| good	0.112 \| good	2.004 \| good	0.122 \| good
2026-09-30T07:00:00.000Z	33 \| good	5.736 \| good	7.497 \| good	31.947 \| good	0.129 \| good	2.177 \| good	0.122 \| good
2026-09-30T08:00:00.000Z	27 \| good	4.177 \| good	6.15 \| good	29.476 \| good	0.123 \| good	2.488 \| good	0.12 \| good
2026-09-30T09:00:00.000Z	26 \| good	3.804 \| good	5.587 \| good	28.482 \| good	0.102 \| good	2.805 \| good	0.118 \| good
2026-09-30T10:00:00.000Z	27 \| good	4.238 \| good	5.22 \| good	28.951 \| good	0.093 \| good	2.414 \| good	0.112 \| good
2026-09-30T11:00:00.000Z	29 \| good	4.179 \| good	6.65 \| good	30.921 \| good	0.092 \| good	1.442 \| good	0.108 \| good
2026-09-30T12:00:00.000Z	31 \| good	4.06 \| good	6.656 \| good	33.629 \| good	0.084 \| good	0.994 \| good	0.108 \| good
2026-09-30T13:00:00.000Z	32 \| good	4.002 \| good	7.511 \| good	34.812 \| good	0.083 \| good	0.846 \| good	0.111 \| good
2026-09-30T14:00:00.000Z	33 \| good	4.005 \| good	8.467 \| good	35.841 \| good	0.082 \| good	0.85 \| good	0.114 \| good
2026-09-30T15:00:00.000Z	33 \| good	4.09 \| good	9.378 \| good	35.729 \| good	0.084 \| good	0.943 \| good	0.118 \| good
2026-09-30T16:00:00.000Z	32 \| good	4.312 \| good	10.093 \| good	35.42 \| good	0.091 \| good	1.209 \| good	0.121 \| good
2026-09-30T17:00:00.000Z	32 \| good	4.509 \| good	10.242 \| good	34.712 \| good	0.121 \| good	1.919 \| good	0.125 \| good
2026-09-30T18:00:00.000Z	31 \| good	4.845 \| good	10.291 \| good	34.212 \| good	0.173 \| good	2.742 \| good	0.132 \| good
2026-09-30T19:00:00.000Z	29 \| good	4.99 \| good	10.282 \| good	30.747 \| good	0.203 \| good	3.675 \| good	0.135 \| good
2026-09-30T20:00:00.000Z	27 \| good	5.294 \| good	10.791 \| good	28.247 \| good	0.227 \| good	3.787 \| good	0.134 \| good
2026-09-30T21:00:00.000Z	27 \| good	5.394 \| good	11.055 \| good	26.914 \| good	0.238 \| good	3.864 \| good	0.134 \| good
2026-09-30T22:00:00.000Z	33 \| good	5.698 \| good	11.478 \| good	25.886 \| good	0.244 \| good	4.025 \| good	0.135 \| good

Wilmslow

Get reliable air quality data to drive your business

Wilmslow, Cheshire East air quality map: Stay updated on AQI near you

0.31ppm

How accurate is Cheshire East, UK air quality data?

Air quality and pollutant data for Cheshire East, UK are sourced from ground-based monitors and satellites, adhering to US EPA standards. Machine learning and advanced algorithms enhance the data by incorporating local variables like traffic and population density, ensuring high accuracy and dependability.

Source: Ambee Data Sources

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Frequently asked questions

How often is air quality information updated for Wilmslow, Cheshire East?

The air quality information for Wilmslow, Cheshire East is updated every hour for accuracy.

What time in the last 24 hours was the air quality in Wilmslow, Cheshire East at its worst?

In the past 24 hours, the air quality in Wilmslow, Cheshire East was at its worst at 10:00:00 on 2026-09-28.

When did Wilmslow, Cheshire East experience the best air quality in the last 24 hours?

In the last 24 hours, the best air quality in Wilmslow, Cheshire East was observed at 04:00:00 on 2026-09-28.

What is the AQI in Wilmslow, Cheshire East right now?

As of now, the AQI in Wilmslow, Cheshire East is 27, indicating Good conditions.

What is the most common type of pollution in Wilmslow, Cheshire East?

Wilmslow, Cheshire East air has the highest levels of PM2.5.

What should I do in case of poor air quality in Wilmslow, Cheshire East?

Poor air quality in Wilmslow, Cheshire East means it's advisable to stay indoors and wear a mask for your protection.

What is the PM_2.5 level in Wilmslow, Cheshire East at the moment?

PM_2.5 levels in Wilmslow, Cheshire East are currently 5.063 μg/m³.

What is the PM₁₀ level in Wilmslow, Cheshire East at the moment?

The PM₁₀ concentration in Wilmslow, Cheshire East is 10.511 μg/m³ at the moment.

What is the carbon monoxide (CO) level in Wilmslow, Cheshire East at the moment?

The current carbon monoxide (CO) concentration in Wilmslow, Cheshire East is 0.312 ppm.

What is the sulfur dioxide (SO₂) level in Wilmslow, Cheshire East at the moment?

Currently, Wilmslow, Cheshire East has a sulfur dioxide (SO₂) concentration of 0.763 ppb.

What is the ozone (O₃) level in Wilmslow, Cheshire East at the moment?

The current ozone (O₃) level in Wilmslow, Cheshire East at the moment is 23.535 ppm.

What is the nitrogen dioxide (NO₂) level in Wilmslow, Cheshire East at the moment?

Nitrogen dioxide (NO₂) level in Wilmslow, Cheshire East at the moment is 19.626 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-09-26T23:00:00.000Z	27 \| good	4.816 \| good	13.765 \| good	29.423 \| good	0.573 \| good	7.357 \| good	0.297 \| good
2026-09-27T00:00:00.000Z	27 \| good	5.147 \| good	11.101 \| good	26.505 \| good	0.475 \| good	7.986 \| good	0.226 \| good
2026-09-27T01:00:00.000Z	27 \| good	5.259 \| good	12.08 \| good	27.384 \| good	0.479 \| good	6.1 \| good	0.229 \| good
2026-09-27T02:00:00.000Z	33 \| good	5.534 \| good	14.938 \| good	20.727 \| good	0.382 \| good	5.861 \| good	0.212 \| good
2026-09-27T03:00:00.000Z	27 \| good	5.323 \| good	11.048 \| good	13.256 \| good	0.499 \| good	7.51 \| good	0.217 \| good
2026-09-27T04:00:00.000Z	27 \| good	5.355 \| good	12.249 \| good	11.591 \| good	0.43 \| good	8.41 \| good	0.205 \| good
2026-09-27T05:00:00.000Z	27 \| good	5.439 \| good	10.474 \| good	13.304 \| good	0.43 \| good	4.916 \| good	0.053 \| good
2026-09-27T06:00:00.000Z	33 \| good	5.652 \| good	10.574 \| good	8.56 \| good	0.382 \| good	2.94 \| good	0.05 \| good
2026-09-27T07:00:00.000Z	33 \| good	5.795 \| good	10.831 \| good	11.056 \| good	0.429 \| good	6.359 \| good	0.051 \| good
2026-09-27T08:00:00.000Z	33 \| good	5.692 \| good	10.823 \| good	15.041 \| good	0.429 \| good	4.6 \| good	0.054 \| good
2026-09-27T09:00:00.000Z	27 \| good	5.27 \| good	17.361 \| good	15.687 \| good	0.429 \| good	4.403 \| good	0.052 \| good
2026-09-27T10:00:00.000Z	33 \| good	6.265 \| good	11.697 \| good	18.196 \| good	0.495 \| good	4.536 \| good	0.063 \| good
2026-09-27T11:00:00.000Z	33 \| good	6.118 \| good	14.064 \| good	20.124 \| good	0.539 \| good	4.706 \| good	0.051 \| good
2026-09-27T12:00:00.000Z	33 \| good	5.965 \| good	11.611 \| good	19.557 \| good	0.8 \| good	4.528 \| good	0.048 \| good
2026-09-27T13:00:00.000Z	33 \| good	5.888 \| good	12.296 \| good	21.938 \| good	0.684 \| good	5.997 \| good	0.046 \| good
2026-09-27T14:00:00.000Z	33 \| good	6.245 \| good	13.024 \| good	24.357 \| good	0.657 \| good	6.292 \| good	0.046 \| good
2026-09-27T15:00:00.000Z	38 \| good	6.527 \| good	12.415 \| good	26.876 \| good	0.654 \| good	4.918 \| good	0.049 \| good
2026-09-27T16:00:00.000Z	33 \| good	6.094 \| good	12.411 \| good	27.818 \| good	0.59 \| good	4.848 \| good	0.048 \| good
2026-09-27T17:00:00.000Z	33 \| good	6.477 \| good	12.292 \| good	29.203 \| good	0.491 \| good	4.782 \| good	0.048 \| good
2026-09-27T18:00:00.000Z	38 \| good	6.621 \| good	11.151 \| good	29.093 \| good	0.492 \| good	3.783 \| good	0.057 \| good
2026-09-27T19:00:00.000Z	30 \| good	5.177 \| good	13.77 \| good	31.928 \| good	0.491 \| good	6.134 \| good	0.067 \| good
2026-09-27T20:00:00.000Z	30 \| good	5.049 \| good	11.314 \| good	32.146 \| good	0.493 \| good	7.389 \| good	0.076 \| good
2026-09-27T21:00:00.000Z	31 \| good	4.884 \| good	14.195 \| good	33.804 \| good	0.514 \| good	7.24 \| good	0.093 \| good
2026-09-27T22:00:00.000Z	33 \| good	5.775 \| good	10.766 \| good	30.447 \| good	0.629 \| good	8.033 \| good	0.078 \| good
2026-09-27T23:00:00.000Z	29 \| good	5.004 \| good	13.736 \| good	31.294 \| good	0.492 \| good	10.351 \| good	0.086 \| good
2026-09-28T00:00:00.000Z	27 \| good	4.816 \| good	16.458 \| good	29.302 \| good	0.382 \| good	9.1 \| good	0.255 \| good
2026-09-28T01:00:00.000Z	33 \| good	5.714 \| good	14.815 \| good	29.33 \| good	0.497 \| good	5.437 \| good	0.18 \| good
2026-09-28T02:00:00.000Z	33 \| good	6.168 \| good	12.845 \| good	28.595 \| good	0.382 \| good	4.963 \| good	0.226 \| good
2026-09-28T03:00:00.000Z	27 \| good	5.014 \| good	13.317 \| good	25.322 \| good	0.45 \| good	5.613 \| good	0.214 \| good
2026-09-28T04:00:00.000Z	27 \| good	5.488 \| good	12.42 \| good	21.308 \| good	0.446 \| good	8.732 \| good	0.218 \| good
2026-09-28T05:00:00.000Z	27 \| good	4.931 \| good	9.003 \| good	19.782 \| good	0.436 \| good	4.783 \| good	0.197 \| good
2026-09-28T06:00:00.000Z	27 \| good	4.669 \| good	10.253 \| good	19.623 \| good	0.533 \| good	6.009 \| good	0.21 \| good
2026-09-28T07:00:00.000Z	27 \| good	4.606 \| good	9.379 \| good	25.006 \| good	0.641 \| good	10.094 \| good	0.279 \| good
2026-09-28T08:00:00.000Z	33 \| good	5.833 \| good	8.299 \| good	23.153 \| good	0.823 \| good	6.013 \| good	0.264 \| good
2026-09-28T09:00:00.000Z	33 \| good	6.036 \| good	8.911 \| good	18.85 \| good	0.875 \| good	5.671 \| good	0.235 \| good
2026-09-28T10:00:00.000Z	33 \| good	6.023 \| good	8.637 \| good	20.893 \| good	0.957 \| good	5.998 \| good	0.221 \| good
2026-09-28T11:00:00.000Z	27 \| good	4.639 \| good	11.069 \| good	17.037 \| good	0.851 \| good	3.677 \| good	0.212 \| good
2026-09-28T12:00:00.000Z	27 \| good	4.794 \| good	10.509 \| good	14.631 \| good	0.974 \| good	3.235 \| good	0.188 \| good
2026-09-28T13:00:00.000Z	22 \| good	3.962 \| good	8.959 \| good	13.327 \| good	0.722 \| good	6.86 \| good	0.165 \| good
2026-09-28T14:00:00.000Z	22 \| good	3.726 \| good	8.181 \| good	18.652 \| good	0.679 \| good	4.336 \| good	0.162 \| good
2026-09-28T15:00:00.000Z	22 \| good	3.704 \| good	7.229 \| good	18.002 \| good	0.573 \| good	7.457 \| good	0.156 \| good
2026-09-28T16:00:00.000Z	22 \| good	3.521 \| good	7.967 \| good	18.733 \| good	0.62 \| good	9.014 \| good	0.153 \| good
2026-09-28T17:00:00.000Z	24 \| good	4.287 \| good	8.409 \| good	26.233 \| good	0.498 \| good	9.292 \| good	0.169 \| good
2026-09-28T18:00:00.000Z	28 \| good	4.485 \| good	10.215 \| good	29.508 \| good	0.507 \| good	9.194 \| good	0.217 \| good
2026-09-28T19:00:00.000Z	30 \| good	4.339 \| good	8.859 \| good	31.6 \| good	0.455 \| good	6.23 \| good	0.253 \| good
2026-09-28T20:00:00.000Z	27 \| good	3.778 \| good	8.915 \| good	29.068 \| good	0.661 \| good	10.25 \| good	0.324 \| good
2026-09-28T21:00:00.000Z	27 \| good	4.966 \| good	13.008 \| good	28.907 \| good	0.772 \| good	10.463 \| good	0.312 \| good
2026-09-28T22:00:00.000Z	27 \| good	5.029 \| good	11.082 \| good	28.103 \| good	0.577 \| good	9.913 \| good	0.352 \| good
2026-09-28T22:00:00.000Z	27 \| good	5.063 \| good	10.511 \| good	23.535 \| good	0.763 \| good	19.626 \| good	0.312 \| good
2026-09-28T23:00:00.000Z	38 \| good	6.86 \| good	11.178 \| good	26.956 \| good	0.343 \| good	4.802 \| good	0.158 \| good
2026-09-29T00:00:00.000Z	33 \| good	5.64 \| good	10.087 \| good	27.112 \| good	0.291 \| good	3.743 \| good	0.152 \| good
2026-09-29T01:00:00.000Z	27 \| good	5.044 \| good	7.916 \| good	28.297 \| good	0.172 \| good	3.135 \| good	0.146 \| good
2026-09-29T02:00:00.000Z	27 \| good	4.128 \| good	6.422 \| good	29.401 \| good	0.128 \| good	2.512 \| good	0.14 \| good
2026-09-29T03:00:00.000Z	28 \| good	3.584 \| good	6.062 \| good	29.927 \| good	0.11 \| good	2.114 \| good	0.136 \| good
2026-09-29T04:00:00.000Z	29 \| good	3.315 \| good	5.437 \| good	31.14 \| good	0.1 \| good	1.912 \| good	0.134 \| good
2026-09-29T05:00:00.000Z	29 \| good	3.272 \| good	5.412 \| good	31.497 \| good	0.109 \| good	1.971 \| good	0.131 \| good
2026-09-29T06:00:00.000Z	29 \| good	3.376 \| good	5.302 \| good	31.146 \| good	0.123 \| good	2.16 \| good	0.13 \| good
2026-09-29T07:00:00.000Z	29 \| good	3.289 \| good	5.177 \| good	30.585 \| good	0.134 \| good	2.455 \| good	0.129 \| good
2026-09-29T08:00:00.000Z	28 \| good	3.592 \| good	6.168 \| good	30.127 \| good	0.138 \| good	2.719 \| good	0.127 \| good
2026-09-29T09:00:00.000Z	28 \| good	3.486 \| good	6.056 \| good	29.89 \| good	0.149 \| good	2.779 \| good	0.126 \| good
2026-09-29T10:00:00.000Z	28 \| good	3.715 \| good	5.831 \| good	29.678 \| good	0.144 \| good	2.574 \| good	0.126 \| good
2026-09-29T11:00:00.000Z	27 \| good	3.911 \| good	6.127 \| good	29.284 \| good	0.138 \| good	2.354 \| good	0.126 \| good
2026-09-29T12:00:00.000Z	27 \| good	4.161 \| good	6.725 \| good	28.922 \| good	0.139 \| good	2.276 \| good	0.127 \| good
2026-09-29T13:00:00.000Z	29 \| good	4.695 \| good	7.164 \| good	30.61 \| good	0.157 \| good	2.213 \| good	0.128 \| good
2026-09-29T14:00:00.000Z	31 \| good	5.404 \| good	7.731 \| good	32.69 \| good	0.175 \| good	2.199 \| good	0.13 \| good
2026-09-29T15:00:00.000Z	33 \| good	6.136 \| good	9.206 \| good	34.227 \| good	0.197 \| good	2.543 \| good	0.133 \| good
2026-09-29T16:00:00.000Z	44 \| good	7.593 \| good	11.386 \| good	37.223 \| good	0.21 \| good	2.62 \| good	0.137 \| good
2026-09-29T17:00:00.000Z	49 \| good	9.126 \| good	12.702 \| good	39.071 \| good	0.216 \| good	3.092 \| good	0.142 \| good
2026-09-29T18:00:00.000Z	49 \| good	8.988 \| good	12.691 \| good	40.689 \| good	0.267 \| good	3.77 \| good	0.148 \| good
2026-09-29T19:00:00.000Z	49 \| good	8.914 \| good	13.576 \| good	39.86 \| good	0.305 \| good	4.204 \| good	0.152 \| good
2026-09-29T20:00:00.000Z	52 \| moderate	10.403 \| good	14.664 \| good	37.825 \| good	0.342 \| good	4.432 \| good	0.153 \| good
2026-09-29T21:00:00.000Z	56 \| moderate	12.386 \| fine	15.198 \| good	35.437 \| good	0.327 \| good	4.53 \| good	0.154 \| good
2026-09-29T22:00:00.000Z	60 \| moderate	13.556 \| fine	17.103 \| good	34.039 \| good	0.307 \| good	4.306 \| good	0.151 \| good
2026-09-29T23:00:00.000Z	56 \| moderate	12.26 \| fine	17.926 \| good	33.694 \| good	0.281 \| good	4.184 \| good	0.148 \| good
2026-09-30T00:00:00.000Z	56 \| moderate	11.552 \| good	15.221 \| good	34.044 \| good	0.254 \| good	3.754 \| good	0.142 \| good
2026-09-30T01:00:00.000Z	52 \| moderate	9.583 \| good	11.791 \| good	34.097 \| good	0.212 \| good	3.023 \| good	0.136 \| good
2026-09-30T02:00:00.000Z	44 \| good	7.547 \| good	11.058 \| good	34.096 \| good	0.153 \| good	2.605 \| good	0.133 \| good
2026-09-30T03:00:00.000Z	38 \| good	6.616 \| good	9.701 \| good	33.998 \| good	0.134 \| good	2.192 \| good	0.133 \| good
2026-09-30T04:00:00.000Z	33 \| good	6.293 \| good	8.662 \| good	33.32 \| good	0.122 \| good	1.982 \| good	0.127 \| good
2026-09-30T05:00:00.000Z	33 \| good	6.092 \| good	8.914 \| good	32.981 \| good	0.111 \| good	1.921 \| good	0.125 \| good
2026-09-30T06:00:00.000Z	33 \| good	5.748 \| good	7.604 \| good	32.737 \| good	0.112 \| good	2.004 \| good	0.122 \| good
2026-09-30T07:00:00.000Z	33 \| good	5.736 \| good	7.497 \| good	31.947 \| good	0.129 \| good	2.177 \| good	0.122 \| good
2026-09-30T08:00:00.000Z	27 \| good	4.177 \| good	6.15 \| good	29.476 \| good	0.123 \| good	2.488 \| good	0.12 \| good
2026-09-30T09:00:00.000Z	26 \| good	3.804 \| good	5.587 \| good	28.482 \| good	0.102 \| good	2.805 \| good	0.118 \| good
2026-09-30T10:00:00.000Z	27 \| good	4.238 \| good	5.22 \| good	28.951 \| good	0.093 \| good	2.414 \| good	0.112 \| good
2026-09-30T11:00:00.000Z	29 \| good	4.179 \| good	6.65 \| good	30.921 \| good	0.092 \| good	1.442 \| good	0.108 \| good
2026-09-30T12:00:00.000Z	31 \| good	4.06 \| good	6.656 \| good	33.629 \| good	0.084 \| good	0.994 \| good	0.108 \| good
2026-09-30T13:00:00.000Z	32 \| good	4.002 \| good	7.511 \| good	34.812 \| good	0.083 \| good	0.846 \| good	0.111 \| good
2026-09-30T14:00:00.000Z	33 \| good	4.005 \| good	8.467 \| good	35.841 \| good	0.082 \| good	0.85 \| good	0.114 \| good
2026-09-30T15:00:00.000Z	33 \| good	4.09 \| good	9.378 \| good	35.729 \| good	0.084 \| good	0.943 \| good	0.118 \| good
2026-09-30T16:00:00.000Z	32 \| good	4.312 \| good	10.093 \| good	35.42 \| good	0.091 \| good	1.209 \| good	0.121 \| good
2026-09-30T17:00:00.000Z	32 \| good	4.509 \| good	10.242 \| good	34.712 \| good	0.121 \| good	1.919 \| good	0.125 \| good
2026-09-30T18:00:00.000Z	31 \| good	4.845 \| good	10.291 \| good	34.212 \| good	0.173 \| good	2.742 \| good	0.132 \| good
2026-09-30T19:00:00.000Z	29 \| good	4.99 \| good	10.282 \| good	30.747 \| good	0.203 \| good	3.675 \| good	0.135 \| good
2026-09-30T20:00:00.000Z	27 \| good	5.294 \| good	10.791 \| good	28.247 \| good	0.227 \| good	3.787 \| good	0.134 \| good
2026-09-30T21:00:00.000Z	27 \| good	5.394 \| good	11.055 \| good	26.914 \| good	0.238 \| good	3.864 \| good	0.134 \| good
2026-09-30T22:00:00.000Z	33 \| good	5.698 \| good	11.478 \| good	25.886 \| good	0.244 \| good	4.025 \| good	0.135 \| good

Live air quality index in Wilmslow, Cheshire East today

Major air pollutants in Wilmslow, Cheshire East

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Wilmslow, Cheshire East air quality forecast and history

Get reliable air quality data to drive your business

Wilmslow, Cheshire East air quality map: Stay updated on AQI near you

Air quality in nearby cities

Bramhall, Greater Manchester

Cheadle Hulme, Greater Manchester

Wythenshawe, Greater Manchester

Cheadle, Greater Manchester

Poynton, Cheshire East

Hale, Greater Manchester

How accurate is Cheshire East, UK air quality data?

Air quality levels in UK

Frequently asked questions

How often is air quality information updated for Wilmslow, Cheshire East?

What time in the last 24 hours was the air quality in Wilmslow, Cheshire East at its worst?

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What should I do in case of poor air quality in Wilmslow, Cheshire East?

What is the PM2.5 level in Wilmslow, Cheshire East at the moment?

What is the PM10 level in Wilmslow, Cheshire East at the moment?

What is the carbon monoxide (CO) level in Wilmslow, Cheshire East at the moment?

What is the sulfur dioxide (SO2) level in Wilmslow, Cheshire East at the moment?

What is the ozone (O3) level in Wilmslow, Cheshire East at the moment?

What is the nitrogen dioxide (NO2) level in Wilmslow, Cheshire East at the moment?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What is the PM_2.5 level in Wilmslow, Cheshire East at the moment?

What is the PM₁₀ level in Wilmslow, Cheshire East at the moment?

What is the sulfur dioxide (SO₂) level in Wilmslow, Cheshire East at the moment?

What is the ozone (O₃) level in Wilmslow, Cheshire East at the moment?

What is the nitrogen dioxide (NO₂) level in Wilmslow, Cheshire East at the moment?