What are the current PM10 levels at Wythenshawe, Greater Manchester?

The current PM10 levels in Wythenshawe, Greater Manchester are 10.085 μg/m3.

What are the current sulfur dioxide (SO2) levels at Wythenshawe, Greater Manchester?

The current sulfur dioxide (SO2) levels in Wythenshawe, Greater Manchester are 0.452 ppb.

What are the current ozone (O3) levels at Wythenshawe, Greater Manchester?

The current ozone (O3) levels at Wythenshawe, Greater Manchester is 16.134 ppm.

What are the current nitrogen dioxide (NO2) levels at Wythenshawe, Greater Manchester?

The current nitrogen dioxide (NO2) levels at Wythenshawe, Greater Manchester is 2.999 ppb.

Real-time air quality index in Wythenshawe, Greater Manchester today

Name: Live air pollution levels in Wythenshawe, Greater Manchester today
Creator: Ambee

Stay updated with real-time air quality in Wythenshawe, Greater Manchester 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

Wythenshawe, Greater Manchester

Last updated: ... (Local time)

Common air pollutants in Wythenshawe, Greater Manchester

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

2.15 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

6.07 μg/m³

155

255

425

605+

Ozone (O₃)

19.07 ppb

201

201+

Sulfur Dioxide (SO₂)

0.58 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

3.47 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.25 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Wythenshawe, Greater Manchester

Get Live Pollen Counts

Wythenshawe, Greater Manchester

Scroll To Air Quality Map

Track live Wythenshawe, Greater Manchester air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-09-16T05:00:00.000Z	27 \| good	3.843 \| good	8.259 \| good	28.698 \| good	0.392 \| good	2.052 \| good	0.271 \| good
2025-09-16T06:00:00.000Z	26 \| good	3.923 \| good	8.529 \| good	28.369 \| good	0.382 \| good	1.95 \| good	0.1 \| good
2025-09-16T07:00:00.000Z	26 \| good	4.306 \| good	8.834 \| good	27.778 \| good	0.382 \| good	4.019 \| good	0.107 \| good
2025-09-16T08:00:00.000Z	25 \| good	4.461 \| good	8.965 \| good	27.179 \| good	0.408 \| good	6.911 \| good	0.098 \| good
2025-09-16T09:00:00.000Z	27 \| good	4.665 \| good	9.035 \| good	26.707 \| good	0.426 \| good	8.297 \| good	0.093 \| good
2025-09-16T10:00:00.000Z	27 \| good	4.595 \| good	9.126 \| good	25.924 \| good	0.428 \| good	8.465 \| good	0.11 \| good
2025-09-16T11:00:00.000Z	24 \| good	4.348 \| good	9.689 \| good	25.748 \| good	0.455 \| good	6.2 \| good	0.09 \| good
2025-09-16T12:00:00.000Z	24 \| good	4.449 \| good	9.712 \| good	25.619 \| good	0.52 \| good	5.15 \| good	0.083 \| good
2025-09-16T13:00:00.000Z	24 \| good	4.383 \| good	9.996 \| good	25.711 \| good	0.559 \| good	5.036 \| good	0.081 \| good
2025-09-16T14:00:00.000Z	27 \| good	4.833 \| good	10.139 \| good	25.369 \| good	0.382 \| good	5.287 \| good	0.082 \| good
2025-09-16T15:00:00.000Z	27 \| good	4.768 \| good	10.014 \| good	25.45 \| good	0.67 \| good	5.267 \| good	0.084 \| good
2025-09-16T16:00:00.000Z	27 \| good	4.79 \| good	10.079 \| good	25.855 \| good	0.404 \| good	5.671 \| good	0.079 \| good
2025-09-16T17:00:00.000Z	27 \| good	4.823 \| good	10.655 \| good	26.437 \| good	0.404 \| good	5.451 \| good	0.081 \| good
2025-09-16T18:00:00.000Z	27 \| good	4.821 \| good	10.48 \| good	26.96 \| good	0.403 \| good	5.45 \| good	0.088 \| good
2025-09-16T19:00:00.000Z	27 \| good	4.746 \| good	10.163 \| good	27.333 \| good	0.403 \| good	6.454 \| good	0.093 \| good
2025-09-16T20:00:00.000Z	27 \| good	4.899 \| good	10.045 \| good	27.045 \| good	0.406 \| good	9.108 \| good	0.092 \| good
2025-09-16T21:00:00.000Z	27 \| good	4.848 \| good	10.485 \| good	26.663 \| good	0.382 \| good	10.69 \| good	0.093 \| good
2025-09-16T22:00:00.000Z	27 \| good	4.895 \| good	10.641 \| good	25.027 \| good	0.382 \| good	11.831 \| good	0.076 \| good
2025-09-16T23:00:00.000Z	27 \| good	5.333 \| good	10.487 \| good	23.737 \| good	0.382 \| good	10.474 \| good	0.079 \| good
2025-09-17T00:00:00.000Z	27 \| good	5.368 \| good	9.964 \| good	22.491 \| good	0.407 \| good	8.633 \| good	0.285 \| good
2025-09-17T01:00:00.000Z	27 \| good	4.821 \| good	9.916 \| good	20.903 \| good	0.41 \| good	7.903 \| good	0.339 \| good
2025-09-17T02:00:00.000Z	27 \| good	4.848 \| good	10.078 \| good	19.676 \| good	0.43 \| good	5.949 \| good	0.247 \| good
2025-09-17T03:00:00.000Z	27 \| good	4.778 \| good	9.984 \| good	19.78 \| good	0.433 \| good	5.949 \| good	0.243 \| good
2025-09-17T04:00:00.000Z	22 \| good	4.378 \| good	9.917 \| good	17.67 \| good	0.426 \| good	4.606 \| good	0.242 \| good
2025-09-17T05:00:00.000Z	22 \| good	4.482 \| good	10.09 \| good	17.477 \| good	0.382 \| good	4.305 \| good	0.25 \| good
2025-09-17T06:00:00.000Z	22 \| good	4.378 \| good	9.657 \| good	17.583 \| good	0.382 \| good	10.474 \| good	0.076 \| good
2025-09-17T07:00:00.000Z	22 \| good	4.358 \| good	9.563 \| good	17.079 \| good	0.391 \| good	10.786 \| good	0.083 \| good
2025-09-17T08:00:00.000Z	22 \| good	4.33 \| good	8.991 \| good	17.581 \| good	0.664 \| good	10.385 \| good	0.078 \| good
2025-09-17T09:00:00.000Z	22 \| good	4.285 \| good	8.752 \| good	18.216 \| good	0.725 \| good	8.655 \| good	0.074 \| good
2025-09-17T10:00:00.000Z	22 \| good	4.003 \| good	8.523 \| good	18.17 \| good	0.73 \| good	8.421 \| good	0.072 \| good
2025-09-17T11:00:00.000Z	17 \| good	3.479 \| good	8.02 \| good	18.082 \| good	0.729 \| good	10.185 \| good	0.091 \| good
2025-09-17T12:00:00.000Z	22 \| good	3.515 \| good	8.049 \| good	18.553 \| good	0.836 \| good	7.8 \| good	0.072 \| good
2025-09-17T13:00:00.000Z	17 \| good	3.482 \| good	8 \| good	18.444 \| good	0.797 \| good	6.187 \| good	0.074 \| good
2025-09-17T14:00:00.000Z	18 \| good	3.473 \| good	7.959 \| good	19.052 \| good	0.788 \| good	6.799 \| good	0.071 \| good
2025-09-17T15:00:00.000Z	19 \| good	3.453 \| good	7.168 \| good	19.971 \| good	0.713 \| good	4.763 \| good	0.071 \| good
2025-09-17T16:00:00.000Z	22 \| good	3.517 \| good	6.861 \| good	20.998 \| good	0.673 \| good	5.923 \| good	0.072 \| good
2025-09-17T17:00:00.000Z	19 \| good	3.397 \| good	6.918 \| good	21.279 \| good	0.67 \| good	6.884 \| good	0.079 \| good
2025-09-17T18:00:00.000Z	19 \| good	2.972 \| good	6.662 \| good	21.306 \| good	0.651 \| good	6.647 \| good	0.077 \| good
2025-09-17T19:00:00.000Z	20 \| good	2.944 \| good	6.391 \| good	21.933 \| good	0.664 \| good	8.249 \| good	0.076 \| good
2025-09-17T20:00:00.000Z	21 \| good	2.994 \| good	6.328 \| good	23.112 \| good	0.641 \| good	5.722 \| good	0.08 \| good
2025-09-17T21:00:00.000Z	22 \| good	2.497 \| good	6.34 \| good	23.523 \| good	0.409 \| good	6.555 \| good	0.09 \| good
2025-09-17T22:00:00.000Z	22 \| good	2.494 \| good	5.712 \| good	24.165 \| good	0.411 \| good	6.961 \| good	0.056 \| good
2025-09-17T23:00:00.000Z	22 \| good	2.498 \| good	5.752 \| good	23.932 \| good	0.406 \| good	9.807 \| good	0.055 \| good
2025-09-18T00:00:00.000Z	22 \| good	2.507 \| good	5.78 \| good	23.591 \| good	0.409 \| good	9.594 \| good	0.256 \| good
2025-09-18T01:00:00.000Z	21 \| good	2.535 \| good	5.943 \| good	23.279 \| good	0.408 \| good	6.11 \| good	0.198 \| good
2025-09-18T02:00:00.000Z	21 \| good	2.943 \| good	6.452 \| good	23.036 \| good	0.393 \| good	3.959 \| good	0.247 \| good
2025-09-18T03:00:00.000Z	21 \| good	3.047 \| good	6.502 \| good	22.905 \| good	0.392 \| good	3.959 \| good	0.247 \| good
2025-09-18T04:00:00.000Z	20 \| good	3.007 \| good	6.514 \| good	22.382 \| good	0.674 \| good	4.881 \| good	0.247 \| good
2025-09-18T04:00:00.000Z	18 \| good	2.148 \| good	6.074 \| good	19.073 \| good	0.583 \| good	3.472 \| good	0.247 \| good
2025-09-17T06:00:00.000Z	25 \| good	1.801 \| good	2.261 \| good	27.176 \| good	0.133 \| good	3.847 \| good	0.127 \| good
2025-09-17T07:00:00.000Z	25 \| good	1.761 \| good	2.105 \| good	27.279 \| good	0.135 \| good	5.349 \| good	0.128 \| good
2025-09-17T08:00:00.000Z	25 \| good	2.01 \| good	2.504 \| good	26.749 \| good	0.158 \| good	5.797 \| good	0.128 \| good
2025-09-17T09:00:00.000Z	25 \| good	2.279 \| good	3.004 \| good	26.994 \| good	0.185 \| good	5.297 \| good	0.127 \| good
2025-09-17T10:00:00.000Z	26 \| good	2.561 \| good	3.862 \| good	27.709 \| good	0.208 \| good	4.318 \| good	0.124 \| good
2025-09-17T11:00:00.000Z	26 \| good	2.395 \| good	4.745 \| good	27.593 \| good	0.26 \| good	3.481 \| good	0.119 \| good
2025-09-17T12:00:00.000Z	28 \| good	3.806 \| good	7.7 \| good	29.668 \| good	0.301 \| good	2.626 \| good	0.114 \| good
2025-09-17T13:00:00.000Z	30 \| good	4.344 \| good	9.025 \| good	32.493 \| good	0.314 \| good	2.108 \| good	0.11 \| good
2025-09-17T14:00:00.000Z	31 \| good	4.277 \| good	8.638 \| good	32.836 \| good	0.301 \| good	2.301 \| good	0.11 \| good
2025-09-17T15:00:00.000Z	31 \| good	4.125 \| good	9.706 \| good	32.945 \| good	0.328 \| good	2.787 \| good	0.11 \| good
2025-09-17T16:00:00.000Z	30 \| good	4.111 \| good	10.232 \| good	32.028 \| good	0.342 \| good	3.483 \| good	0.113 \| good
2025-09-17T17:00:00.000Z	31 \| good	4.383 \| good	10.558 \| good	32.66 \| good	0.356 \| good	4.506 \| good	0.115 \| good
2025-09-17T18:00:00.000Z	30 \| good	4.245 \| good	10.356 \| good	32.455 \| good	0.406 \| good	5.321 \| good	0.118 \| good
2025-09-17T19:00:00.000Z	31 \| good	4.629 \| good	11.788 \| good	32.669 \| good	0.462 \| good	5.51 \| good	0.117 \| good
2025-09-17T20:00:00.000Z	30 \| good	4.564 \| good	12.506 \| good	32.357 \| good	0.479 \| good	5.236 \| good	0.116 \| good
2025-09-17T21:00:00.000Z	30 \| good	4.593 \| good	13.125 \| good	31.991 \| good	0.524 \| good	5.048 \| good	0.115 \| good
2025-09-17T22:00:00.000Z	29 \| good	4.853 \| good	13.616 \| good	30.776 \| good	0.522 \| good	4.899 \| good	0.115 \| good
2025-09-17T23:00:00.000Z	28 \| good	4.813 \| good	13.564 \| good	30.431 \| good	0.472 \| good	4.541 \| good	0.115 \| good
2025-09-18T00:00:00.000Z	29 \| good	4.868 \| good	12.895 \| good	30.509 \| good	0.437 \| good	4.257 \| good	0.114 \| good
2025-09-18T01:00:00.000Z	28 \| good	4.708 \| good	12.32 \| good	30.463 \| good	0.35 \| good	3.7 \| good	0.113 \| good
2025-09-18T02:00:00.000Z	28 \| good	4.432 \| good	11.815 \| good	29.673 \| good	0.325 \| good	3.268 \| good	0.113 \| good
2025-09-18T03:00:00.000Z	28 \| good	4.012 \| good	9.898 \| good	29.642 \| good	0.236 \| good	2.871 \| good	0.113 \| good
2025-09-18T04:00:00.000Z	26 \| good	3.565 \| good	7.15 \| good	28.04 \| good	0.165 \| good	2.718 \| good	0.113 \| good
2025-09-18T05:00:00.000Z	23 \| good	3.173 \| good	6.051 \| good	24.877 \| good	0.175 \| good	3.36 \| good	0.113 \| good
2025-09-18T06:00:00.000Z	20 \| good	3.109 \| good	6.218 \| good	21.883 \| good	0.241 \| good	6.195 \| good	0.115 \| good
2025-09-18T07:00:00.000Z	20 \| good	3.445 \| good	6.194 \| good	21.58 \| good	0.23 \| good	8.048 \| good	0.118 \| good
2025-09-18T08:00:00.000Z	23 \| good	3.166 \| good	6.411 \| good	25.462 \| good	0.208 \| good	5.799 \| good	0.11 \| good
2025-09-18T09:00:00.000Z	26 \| good	3.182 \| good	6.825 \| good	28.34 \| good	0.212 \| good	3.925 \| good	0.106 \| good
2025-09-18T10:00:00.000Z	27 \| good	3.28 \| good	6.797 \| good	29.044 \| good	0.186 \| good	3.129 \| good	0.105 \| good
2025-09-18T11:00:00.000Z	27 \| good	3.277 \| good	6.471 \| good	29.279 \| good	0.2 \| good	2.977 \| good	0.104 \| good
2025-09-18T12:00:00.000Z	26 \| good	3.098 \| good	6.166 \| good	27.727 \| good	0.176 \| good	2.809 \| good	0.103 \| good
2025-09-18T13:00:00.000Z	25 \| good	2.928 \| good	5.84 \| good	27.317 \| good	0.19 \| good	2.783 \| good	0.103 \| good
2025-09-18T14:00:00.000Z	24 \| good	3.069 \| good	5.716 \| good	26.364 \| good	0.215 \| good	2.893 \| good	0.103 \| good
2025-09-18T15:00:00.000Z	25 \| good	3.238 \| good	5.197 \| good	26.646 \| good	0.234 \| good	3.415 \| good	0.103 \| good
2025-09-18T16:00:00.000Z	24 \| good	3.38 \| good	6.17 \| good	25.873 \| good	0.244 \| good	4.241 \| good	0.105 \| good
2025-09-18T17:00:00.000Z	22 \| good	3.322 \| good	6.05 \| good	23.954 \| good	0.282 \| good	4.509 \| good	0.107 \| good
2025-09-18T18:00:00.000Z	23 \| good	3.553 \| good	5.921 \| good	25.039 \| good	0.278 \| good	5.186 \| good	0.108 \| good
2025-09-18T19:00:00.000Z	24 \| good	3.389 \| good	5.197 \| good	25.647 \| good	0.238 \| good	5.508 \| good	0.106 \| good
2025-09-18T20:00:00.000Z	26 \| good	3.237 \| good	5.468 \| good	27.604 \| good	0.201 \| good	4.091 \| good	0.103 \| good
2025-09-18T21:00:00.000Z	26 \| good	3.037 \| good	5.523 \| good	28.132 \| good	0.195 \| good	3.146 \| good	0.102 \| good
2025-09-18T22:00:00.000Z	27 \| good	2.762 \| good	5.62 \| good	28.538 \| good	0.173 \| good	2.731 \| good	0.1 \| good
2025-09-18T23:00:00.000Z	26 \| good	2.837 \| good	5.557 \| good	28.106 \| good	0.138 \| good	2.363 \| good	0.097 \| good
2025-09-19T00:00:00.000Z	26 \| good	2.853 \| good	5.498 \| good	27.879 \| good	0.115 \| good	1.977 \| good	0.097 \| good
2025-09-19T01:00:00.000Z	25 \| good	2.763 \| good	4.422 \| good	27.003 \| good	0.119 \| good	2.047 \| good	0.098 \| good
2025-09-19T02:00:00.000Z	24 \| good	2.583 \| good	3.676 \| good	26.316 \| good	0.145 \| good	2.252 \| good	0.102 \| good
2025-09-19T03:00:00.000Z	23 \| good	2.579 \| good	3.468 \| good	24.605 \| good	0.187 \| good	2.738 \| good	0.103 \| good
2025-09-19T04:00:00.000Z	21 \| good	2.668 \| good	3.692 \| good	22.879 \| good	0.256 \| good	3.531 \| good	0.104 \| good
2025-09-19T05:00:00.000Z	19 \| good	2.795 \| good	3.799 \| good	21.217 \| good	0.368 \| good	4.614 \| good	0.105 \| good

Wythenshawe

Empower business decisions with accurate air quality data

Wythenshawe, Greater Manchester air quality map: Real-time AQI near you

0.24ppm

How accurate is Greater Manchester, UK air quality data?

Air quality measurements for Greater Manchester, UK meet strict US EPA standards. These measurements are collected from reliable sources, including satellites and ground-based monitoring systems. Advanced algorithms and machine learning techniques are applied to the data, factoring in variables such as traffic and population density, to ensure precision and reliability.

Source: Ambee Data Sources

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Frequently asked questions

How frequently is the air quality data for Wythenshawe, Greater Manchester updated?

Air quality data for Wythenshawe, Greater Manchester is updated on an hourly basis.

When did Wythenshawe, Greater Manchester experience the worst air quality in the last 24 hours?

The worst air quality in Wythenshawe, Greater Manchester was recorded at 03:00:00 on 2025-09-17.

When did Wythenshawe, Greater Manchester have its best air quality in the last 24 hours?

The best air quality in Wythenshawe, Greater Manchester was recorded at 04:00:00 on 2025-09-17.

What is the real-time air quality index for Wythenshawe, Greater Manchester?

The real-time air quality index in Wythenshawe, Greater Manchester is 22, currently categorized as Good.

Which pollutant is found most often in Wythenshawe, Greater Manchester?

The most common pollutant in Wythenshawe, Greater Manchester is PM2.5.

What can I do if the air quality in Wythenshawe, Greater Manchester is poor?

If the air quality in Wythenshawe, Greater Manchester is poor, limit outdoor activities and use a mask to safeguard your health.

What are the current PM_2.5 levels in Wythenshawe, Greater Manchester?

The measured PM_2.5 levels in Wythenshawe, Greater Manchester at present are 4.111 μg/m³.

What are the current PM₁₀ levels at Wythenshawe, Greater Manchester?

The current PM₁₀ levels in Wythenshawe, Greater Manchester are 10.085 μg/m³.

What are the current carbon monoxide (CO) levels at Wythenshawe, Greater Manchester?

The current carbon monoxide (CO) level in Wythenshawe, Greater Manchester is 0.242 ppm.

What are the current sulfur dioxide (SO₂) levels at Wythenshawe, Greater Manchester?

The current sulfur dioxide (SO₂) levels in Wythenshawe, Greater Manchester are 0.452 ppb.

What are the current ozone (O₃) levels at Wythenshawe, Greater Manchester?

The current ozone (O₃) levels at Wythenshawe, Greater Manchester is 16.134 ppm.

What are the current nitrogen dioxide (NO₂) levels at Wythenshawe, Greater Manchester?

The current nitrogen dioxide (NO₂) levels at Wythenshawe, Greater Manchester is 2.999 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-09-16T05:00:00.000Z	27 \| good	3.843 \| good	8.259 \| good	28.698 \| good	0.392 \| good	2.052 \| good	0.271 \| good
2025-09-16T06:00:00.000Z	26 \| good	3.923 \| good	8.529 \| good	28.369 \| good	0.382 \| good	1.95 \| good	0.1 \| good
2025-09-16T07:00:00.000Z	26 \| good	4.306 \| good	8.834 \| good	27.778 \| good	0.382 \| good	4.019 \| good	0.107 \| good
2025-09-16T08:00:00.000Z	25 \| good	4.461 \| good	8.965 \| good	27.179 \| good	0.408 \| good	6.911 \| good	0.098 \| good
2025-09-16T09:00:00.000Z	27 \| good	4.665 \| good	9.035 \| good	26.707 \| good	0.426 \| good	8.297 \| good	0.093 \| good
2025-09-16T10:00:00.000Z	27 \| good	4.595 \| good	9.126 \| good	25.924 \| good	0.428 \| good	8.465 \| good	0.11 \| good
2025-09-16T11:00:00.000Z	24 \| good	4.348 \| good	9.689 \| good	25.748 \| good	0.455 \| good	6.2 \| good	0.09 \| good
2025-09-16T12:00:00.000Z	24 \| good	4.449 \| good	9.712 \| good	25.619 \| good	0.52 \| good	5.15 \| good	0.083 \| good
2025-09-16T13:00:00.000Z	24 \| good	4.383 \| good	9.996 \| good	25.711 \| good	0.559 \| good	5.036 \| good	0.081 \| good
2025-09-16T14:00:00.000Z	27 \| good	4.833 \| good	10.139 \| good	25.369 \| good	0.382 \| good	5.287 \| good	0.082 \| good
2025-09-16T15:00:00.000Z	27 \| good	4.768 \| good	10.014 \| good	25.45 \| good	0.67 \| good	5.267 \| good	0.084 \| good
2025-09-16T16:00:00.000Z	27 \| good	4.79 \| good	10.079 \| good	25.855 \| good	0.404 \| good	5.671 \| good	0.079 \| good
2025-09-16T17:00:00.000Z	27 \| good	4.823 \| good	10.655 \| good	26.437 \| good	0.404 \| good	5.451 \| good	0.081 \| good
2025-09-16T18:00:00.000Z	27 \| good	4.821 \| good	10.48 \| good	26.96 \| good	0.403 \| good	5.45 \| good	0.088 \| good
2025-09-16T19:00:00.000Z	27 \| good	4.746 \| good	10.163 \| good	27.333 \| good	0.403 \| good	6.454 \| good	0.093 \| good
2025-09-16T20:00:00.000Z	27 \| good	4.899 \| good	10.045 \| good	27.045 \| good	0.406 \| good	9.108 \| good	0.092 \| good
2025-09-16T21:00:00.000Z	27 \| good	4.848 \| good	10.485 \| good	26.663 \| good	0.382 \| good	10.69 \| good	0.093 \| good
2025-09-16T22:00:00.000Z	27 \| good	4.895 \| good	10.641 \| good	25.027 \| good	0.382 \| good	11.831 \| good	0.076 \| good
2025-09-16T23:00:00.000Z	27 \| good	5.333 \| good	10.487 \| good	23.737 \| good	0.382 \| good	10.474 \| good	0.079 \| good
2025-09-17T00:00:00.000Z	27 \| good	5.368 \| good	9.964 \| good	22.491 \| good	0.407 \| good	8.633 \| good	0.285 \| good
2025-09-17T01:00:00.000Z	27 \| good	4.821 \| good	9.916 \| good	20.903 \| good	0.41 \| good	7.903 \| good	0.339 \| good
2025-09-17T02:00:00.000Z	27 \| good	4.848 \| good	10.078 \| good	19.676 \| good	0.43 \| good	5.949 \| good	0.247 \| good
2025-09-17T03:00:00.000Z	27 \| good	4.778 \| good	9.984 \| good	19.78 \| good	0.433 \| good	5.949 \| good	0.243 \| good
2025-09-17T04:00:00.000Z	22 \| good	4.378 \| good	9.917 \| good	17.67 \| good	0.426 \| good	4.606 \| good	0.242 \| good
2025-09-17T05:00:00.000Z	22 \| good	4.482 \| good	10.09 \| good	17.477 \| good	0.382 \| good	4.305 \| good	0.25 \| good
2025-09-17T06:00:00.000Z	22 \| good	4.378 \| good	9.657 \| good	17.583 \| good	0.382 \| good	10.474 \| good	0.076 \| good
2025-09-17T07:00:00.000Z	22 \| good	4.358 \| good	9.563 \| good	17.079 \| good	0.391 \| good	10.786 \| good	0.083 \| good
2025-09-17T08:00:00.000Z	22 \| good	4.33 \| good	8.991 \| good	17.581 \| good	0.664 \| good	10.385 \| good	0.078 \| good
2025-09-17T09:00:00.000Z	22 \| good	4.285 \| good	8.752 \| good	18.216 \| good	0.725 \| good	8.655 \| good	0.074 \| good
2025-09-17T10:00:00.000Z	22 \| good	4.003 \| good	8.523 \| good	18.17 \| good	0.73 \| good	8.421 \| good	0.072 \| good
2025-09-17T11:00:00.000Z	17 \| good	3.479 \| good	8.02 \| good	18.082 \| good	0.729 \| good	10.185 \| good	0.091 \| good
2025-09-17T12:00:00.000Z	22 \| good	3.515 \| good	8.049 \| good	18.553 \| good	0.836 \| good	7.8 \| good	0.072 \| good
2025-09-17T13:00:00.000Z	17 \| good	3.482 \| good	8 \| good	18.444 \| good	0.797 \| good	6.187 \| good	0.074 \| good
2025-09-17T14:00:00.000Z	18 \| good	3.473 \| good	7.959 \| good	19.052 \| good	0.788 \| good	6.799 \| good	0.071 \| good
2025-09-17T15:00:00.000Z	19 \| good	3.453 \| good	7.168 \| good	19.971 \| good	0.713 \| good	4.763 \| good	0.071 \| good
2025-09-17T16:00:00.000Z	22 \| good	3.517 \| good	6.861 \| good	20.998 \| good	0.673 \| good	5.923 \| good	0.072 \| good
2025-09-17T17:00:00.000Z	19 \| good	3.397 \| good	6.918 \| good	21.279 \| good	0.67 \| good	6.884 \| good	0.079 \| good
2025-09-17T18:00:00.000Z	19 \| good	2.972 \| good	6.662 \| good	21.306 \| good	0.651 \| good	6.647 \| good	0.077 \| good
2025-09-17T19:00:00.000Z	20 \| good	2.944 \| good	6.391 \| good	21.933 \| good	0.664 \| good	8.249 \| good	0.076 \| good
2025-09-17T20:00:00.000Z	21 \| good	2.994 \| good	6.328 \| good	23.112 \| good	0.641 \| good	5.722 \| good	0.08 \| good
2025-09-17T21:00:00.000Z	22 \| good	2.497 \| good	6.34 \| good	23.523 \| good	0.409 \| good	6.555 \| good	0.09 \| good
2025-09-17T22:00:00.000Z	22 \| good	2.494 \| good	5.712 \| good	24.165 \| good	0.411 \| good	6.961 \| good	0.056 \| good
2025-09-17T23:00:00.000Z	22 \| good	2.498 \| good	5.752 \| good	23.932 \| good	0.406 \| good	9.807 \| good	0.055 \| good
2025-09-18T00:00:00.000Z	22 \| good	2.507 \| good	5.78 \| good	23.591 \| good	0.409 \| good	9.594 \| good	0.256 \| good
2025-09-18T01:00:00.000Z	21 \| good	2.535 \| good	5.943 \| good	23.279 \| good	0.408 \| good	6.11 \| good	0.198 \| good
2025-09-18T02:00:00.000Z	21 \| good	2.943 \| good	6.452 \| good	23.036 \| good	0.393 \| good	3.959 \| good	0.247 \| good
2025-09-18T03:00:00.000Z	21 \| good	3.047 \| good	6.502 \| good	22.905 \| good	0.392 \| good	3.959 \| good	0.247 \| good
2025-09-18T04:00:00.000Z	20 \| good	3.007 \| good	6.514 \| good	22.382 \| good	0.674 \| good	4.881 \| good	0.247 \| good
2025-09-18T04:00:00.000Z	18 \| good	2.148 \| good	6.074 \| good	19.073 \| good	0.583 \| good	3.472 \| good	0.247 \| good
2025-09-17T06:00:00.000Z	25 \| good	1.801 \| good	2.261 \| good	27.176 \| good	0.133 \| good	3.847 \| good	0.127 \| good
2025-09-17T07:00:00.000Z	25 \| good	1.761 \| good	2.105 \| good	27.279 \| good	0.135 \| good	5.349 \| good	0.128 \| good
2025-09-17T08:00:00.000Z	25 \| good	2.01 \| good	2.504 \| good	26.749 \| good	0.158 \| good	5.797 \| good	0.128 \| good
2025-09-17T09:00:00.000Z	25 \| good	2.279 \| good	3.004 \| good	26.994 \| good	0.185 \| good	5.297 \| good	0.127 \| good
2025-09-17T10:00:00.000Z	26 \| good	2.561 \| good	3.862 \| good	27.709 \| good	0.208 \| good	4.318 \| good	0.124 \| good
2025-09-17T11:00:00.000Z	26 \| good	2.395 \| good	4.745 \| good	27.593 \| good	0.26 \| good	3.481 \| good	0.119 \| good
2025-09-17T12:00:00.000Z	28 \| good	3.806 \| good	7.7 \| good	29.668 \| good	0.301 \| good	2.626 \| good	0.114 \| good
2025-09-17T13:00:00.000Z	30 \| good	4.344 \| good	9.025 \| good	32.493 \| good	0.314 \| good	2.108 \| good	0.11 \| good
2025-09-17T14:00:00.000Z	31 \| good	4.277 \| good	8.638 \| good	32.836 \| good	0.301 \| good	2.301 \| good	0.11 \| good
2025-09-17T15:00:00.000Z	31 \| good	4.125 \| good	9.706 \| good	32.945 \| good	0.328 \| good	2.787 \| good	0.11 \| good
2025-09-17T16:00:00.000Z	30 \| good	4.111 \| good	10.232 \| good	32.028 \| good	0.342 \| good	3.483 \| good	0.113 \| good
2025-09-17T17:00:00.000Z	31 \| good	4.383 \| good	10.558 \| good	32.66 \| good	0.356 \| good	4.506 \| good	0.115 \| good
2025-09-17T18:00:00.000Z	30 \| good	4.245 \| good	10.356 \| good	32.455 \| good	0.406 \| good	5.321 \| good	0.118 \| good
2025-09-17T19:00:00.000Z	31 \| good	4.629 \| good	11.788 \| good	32.669 \| good	0.462 \| good	5.51 \| good	0.117 \| good
2025-09-17T20:00:00.000Z	30 \| good	4.564 \| good	12.506 \| good	32.357 \| good	0.479 \| good	5.236 \| good	0.116 \| good
2025-09-17T21:00:00.000Z	30 \| good	4.593 \| good	13.125 \| good	31.991 \| good	0.524 \| good	5.048 \| good	0.115 \| good
2025-09-17T22:00:00.000Z	29 \| good	4.853 \| good	13.616 \| good	30.776 \| good	0.522 \| good	4.899 \| good	0.115 \| good
2025-09-17T23:00:00.000Z	28 \| good	4.813 \| good	13.564 \| good	30.431 \| good	0.472 \| good	4.541 \| good	0.115 \| good
2025-09-18T00:00:00.000Z	29 \| good	4.868 \| good	12.895 \| good	30.509 \| good	0.437 \| good	4.257 \| good	0.114 \| good
2025-09-18T01:00:00.000Z	28 \| good	4.708 \| good	12.32 \| good	30.463 \| good	0.35 \| good	3.7 \| good	0.113 \| good
2025-09-18T02:00:00.000Z	28 \| good	4.432 \| good	11.815 \| good	29.673 \| good	0.325 \| good	3.268 \| good	0.113 \| good
2025-09-18T03:00:00.000Z	28 \| good	4.012 \| good	9.898 \| good	29.642 \| good	0.236 \| good	2.871 \| good	0.113 \| good
2025-09-18T04:00:00.000Z	26 \| good	3.565 \| good	7.15 \| good	28.04 \| good	0.165 \| good	2.718 \| good	0.113 \| good
2025-09-18T05:00:00.000Z	23 \| good	3.173 \| good	6.051 \| good	24.877 \| good	0.175 \| good	3.36 \| good	0.113 \| good
2025-09-18T06:00:00.000Z	20 \| good	3.109 \| good	6.218 \| good	21.883 \| good	0.241 \| good	6.195 \| good	0.115 \| good
2025-09-18T07:00:00.000Z	20 \| good	3.445 \| good	6.194 \| good	21.58 \| good	0.23 \| good	8.048 \| good	0.118 \| good
2025-09-18T08:00:00.000Z	23 \| good	3.166 \| good	6.411 \| good	25.462 \| good	0.208 \| good	5.799 \| good	0.11 \| good
2025-09-18T09:00:00.000Z	26 \| good	3.182 \| good	6.825 \| good	28.34 \| good	0.212 \| good	3.925 \| good	0.106 \| good
2025-09-18T10:00:00.000Z	27 \| good	3.28 \| good	6.797 \| good	29.044 \| good	0.186 \| good	3.129 \| good	0.105 \| good
2025-09-18T11:00:00.000Z	27 \| good	3.277 \| good	6.471 \| good	29.279 \| good	0.2 \| good	2.977 \| good	0.104 \| good
2025-09-18T12:00:00.000Z	26 \| good	3.098 \| good	6.166 \| good	27.727 \| good	0.176 \| good	2.809 \| good	0.103 \| good
2025-09-18T13:00:00.000Z	25 \| good	2.928 \| good	5.84 \| good	27.317 \| good	0.19 \| good	2.783 \| good	0.103 \| good
2025-09-18T14:00:00.000Z	24 \| good	3.069 \| good	5.716 \| good	26.364 \| good	0.215 \| good	2.893 \| good	0.103 \| good
2025-09-18T15:00:00.000Z	25 \| good	3.238 \| good	5.197 \| good	26.646 \| good	0.234 \| good	3.415 \| good	0.103 \| good
2025-09-18T16:00:00.000Z	24 \| good	3.38 \| good	6.17 \| good	25.873 \| good	0.244 \| good	4.241 \| good	0.105 \| good
2025-09-18T17:00:00.000Z	22 \| good	3.322 \| good	6.05 \| good	23.954 \| good	0.282 \| good	4.509 \| good	0.107 \| good
2025-09-18T18:00:00.000Z	23 \| good	3.553 \| good	5.921 \| good	25.039 \| good	0.278 \| good	5.186 \| good	0.108 \| good
2025-09-18T19:00:00.000Z	24 \| good	3.389 \| good	5.197 \| good	25.647 \| good	0.238 \| good	5.508 \| good	0.106 \| good
2025-09-18T20:00:00.000Z	26 \| good	3.237 \| good	5.468 \| good	27.604 \| good	0.201 \| good	4.091 \| good	0.103 \| good
2025-09-18T21:00:00.000Z	26 \| good	3.037 \| good	5.523 \| good	28.132 \| good	0.195 \| good	3.146 \| good	0.102 \| good
2025-09-18T22:00:00.000Z	27 \| good	2.762 \| good	5.62 \| good	28.538 \| good	0.173 \| good	2.731 \| good	0.1 \| good
2025-09-18T23:00:00.000Z	26 \| good	2.837 \| good	5.557 \| good	28.106 \| good	0.138 \| good	2.363 \| good	0.097 \| good
2025-09-19T00:00:00.000Z	26 \| good	2.853 \| good	5.498 \| good	27.879 \| good	0.115 \| good	1.977 \| good	0.097 \| good
2025-09-19T01:00:00.000Z	25 \| good	2.763 \| good	4.422 \| good	27.003 \| good	0.119 \| good	2.047 \| good	0.098 \| good
2025-09-19T02:00:00.000Z	24 \| good	2.583 \| good	3.676 \| good	26.316 \| good	0.145 \| good	2.252 \| good	0.102 \| good
2025-09-19T03:00:00.000Z	23 \| good	2.579 \| good	3.468 \| good	24.605 \| good	0.187 \| good	2.738 \| good	0.103 \| good
2025-09-19T04:00:00.000Z	21 \| good	2.668 \| good	3.692 \| good	22.879 \| good	0.256 \| good	3.531 \| good	0.104 \| good
2025-09-19T05:00:00.000Z	19 \| good	2.795 \| good	3.799 \| good	21.217 \| good	0.368 \| good	4.614 \| good	0.105 \| good

Real-time air quality index in Wythenshawe, Greater Manchester today

Common air pollutants in Wythenshawe, Greater Manchester

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Wythenshawe, Greater Manchester air quality forecast and history

Empower business decisions with accurate air quality data

Wythenshawe, Greater Manchester air quality map: Real-time AQI near you

Air quality in nearby cities

Cheadle, Greater Manchester

Cheadle Hulme, Greater Manchester

Hale, Greater Manchester

Sale, Greater Manchester

Altrincham, Greater Manchester

Bramhall, Greater Manchester

How accurate is Greater Manchester, UK air quality data?

Air quality levels in UK

Frequently asked questions

How frequently is the air quality data for Wythenshawe, Greater Manchester updated?

When did Wythenshawe, Greater Manchester experience the worst air quality in the last 24 hours?

When did Wythenshawe, Greater Manchester have its best air quality in the last 24 hours?

What is the real-time air quality index for Wythenshawe, Greater Manchester?

Which pollutant is found most often in Wythenshawe, Greater Manchester?

What can I do if the air quality in Wythenshawe, Greater Manchester is poor?

What are the current PM2.5 levels in Wythenshawe, Greater Manchester?

What are the current PM10 levels at Wythenshawe, Greater Manchester?

What are the current carbon monoxide (CO) levels at Wythenshawe, Greater Manchester?

What are the current sulfur dioxide (SO2) levels at Wythenshawe, Greater Manchester?

What are the current ozone (O3) levels at Wythenshawe, Greater Manchester?

What are the current nitrogen dioxide (NO2) levels at Wythenshawe, Greater Manchester?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What are the current PM_2.5 levels in Wythenshawe, Greater Manchester?

What are the current PM₁₀ levels at Wythenshawe, Greater Manchester?

What are the current sulfur dioxide (SO₂) levels at Wythenshawe, Greater Manchester?

What are the current ozone (O₃) levels at Wythenshawe, Greater Manchester?

What are the current nitrogen dioxide (NO₂) levels at Wythenshawe, Greater Manchester?