What is the sulfur dioxide (SO2) level in Great Wyrley, Staffordshire at the moment?

Currently, Great Wyrley, Staffordshire has a sulfur dioxide (SO2) concentration of 0.459 ppb.

What is the ozone (O3) level in Great Wyrley, Staffordshire at the moment?

The current ozone (O3) level in Great Wyrley, Staffordshire at the moment is 20.6 ppm.

What is the nitrogen dioxide (NO2) level in Great Wyrley, Staffordshire at the moment?

Nitrogen dioxide (NO2) level in Great Wyrley, Staffordshire at the moment is 8.033 ppb.

Live air quality index in Great Wyrley, Staffordshire today

Q: What is the PM2.5 level in Great Wyrley, Staffordshire at the moment?

PM2.5 levels in Great Wyrley, Staffordshire are currently 1.044 μg/m3.

Q: What is the PM10 level in Great Wyrley, Staffordshire at the moment?

The PM10 concentration in Great Wyrley, Staffordshire is 3.996 μg/m3 at the moment.

Stay updated with real-time air quality in Great Wyrley, Staffordshire 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

Great Wyrley, Staffordshire

Last updated: ... (Local time)

Major air pollutants in Great Wyrley, Staffordshire

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

1.00 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

3.90 μg/m³

155

255

425

605+

Ozone (O₃)

15.61 ppb

201

201+

Sulfur Dioxide (SO₂)

0.46 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

6.12 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.34 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Great Wyrley, Staffordshire

Get Live Pollen Counts

Great Wyrley, Staffordshire

Scroll To Air Quality Map

Track live Great Wyrley, Staffordshire air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-10-04T04:00:00.000Z	22 \| good	4.425 \| good	16.179 \| good	2.951 \| good	0.686 \| good	9.793 \| good	0.056 \| good
2026-10-04T05:00:00.000Z	27 \| good	4.809 \| good	16.255 \| good	3.203 \| good	0.475 \| good	9.726 \| good	0.057 \| good
2026-10-04T06:00:00.000Z	27 \| good	4.849 \| good	17.085 \| good	1.702 \| good	0.53 \| good	9.759 \| good	0.062 \| good
2026-10-04T07:00:00.000Z	33 \| good	5.828 \| good	19.913 \| good	1.227 \| good	0.436 \| good	13.017 \| good	0.058 \| good
2026-10-04T08:00:00.000Z	33 \| good	6.215 \| good	20.577 \| good	2.264 \| good	0.438 \| good	14.427 \| good	0.068 \| good
2026-10-04T09:00:00.000Z	33 \| good	6.023 \| good	19.427 \| good	2.265 \| good	0.511 \| good	12.621 \| good	0.069 \| good
2026-10-04T10:00:00.000Z	38 \| good	6.644 \| good	22.998 \| good	3.704 \| good	0.46 \| good	13.085 \| good	0.063 \| good
2026-10-04T11:00:00.000Z	38 \| good	7.043 \| good	23.779 \| good	6.866 \| good	0.545 \| good	11.104 \| good	0.062 \| good
2026-10-04T12:00:00.000Z	38 \| good	6.723 \| good	22.886 \| good	9.699 \| good	0.786 \| good	5.652 \| good	0.06 \| good
2026-10-04T13:00:00.000Z	34 \| good	2.855 \| good	5.856 \| good	36.766 \| good	0.227 \| good	1.744 \| good	0.144 \| good
2026-10-04T14:00:00.000Z	38 \| good	7.164 \| good	23.263 \| good	14.915 \| good	0.98 \| good	4.963 \| good	0.046 \| good
2026-10-04T15:00:00.000Z	38 \| good	6.706 \| good	23.218 \| good	19.661 \| good	0.915 \| good	3.486 \| good	0.044 \| good
2026-10-04T16:00:00.000Z	38 \| good	6.892 \| good	23.629 \| good	23.134 \| good	0.606 \| good	3.247 \| good	0.044 \| good
2026-10-04T17:00:00.000Z	38 \| good	6.859 \| good	23.023 \| good	25.083 \| good	0.461 \| good	3.586 \| good	0.055 \| good
2026-10-04T18:00:00.000Z	38 \| good	6.877 \| good	23.142 \| good	26.514 \| good	0.42 \| good	3.384 \| good	0.054 \| good
2026-10-04T19:00:00.000Z	33 \| good	5.913 \| good	19.454 \| good	26.395 \| good	0.419 \| good	3.974 \| good	0.077 \| good
2026-10-04T20:00:00.000Z	27 \| good	4.932 \| good	6.764 \| good	22.225 \| good	0.352 \| good	6.228 \| good	0.145 \| good
2026-10-04T21:00:00.000Z	33 \| good	5.561 \| good	19.663 \| good	25.418 \| good	0.454 \| good	7.566 \| good	0.083 \| good
2026-10-04T22:00:00.000Z	33 \| good	5.649 \| good	19.047 \| good	23.44 \| good	0.417 \| good	8.18 \| good	0.1 \| good
2026-10-04T23:00:00.000Z	33 \| good	5.616 \| good	19.064 \| good	22.883 \| good	0.417 \| good	5.628 \| good	0.106 \| good
2026-10-05T00:00:00.000Z	27 \| good	5.369 \| good	19.19 \| good	22.041 \| good	0.382 \| good	5.544 \| good	0.328 \| good
2026-10-05T01:00:00.000Z	27 \| good	5.327 \| good	19 \| good	21.209 \| good	0.382 \| good	3.88 \| good	0.332 \| good
2026-10-05T02:00:00.000Z	27 \| good	5.317 \| good	18.852 \| good	21.484 \| good	0.457 \| good	3.523 \| good	0.29 \| good
2026-10-05T03:00:00.000Z	22 \| good	4.278 \| good	15.408 \| good	21.54 \| good	0.419 \| good	6.392 \| good	0.277 \| good
2026-10-05T04:00:00.000Z	22 \| good	4.3 \| good	15.401 \| good	21.6 \| good	0.493 \| good	4.911 \| good	0.07 \| good
2026-10-05T05:00:00.000Z	22 \| good	4.072 \| good	14.806 \| good	22.105 \| good	0.382 \| good	3.245 \| good	0.065 \| good
2026-10-05T06:00:00.000Z	22 \| good	3.929 \| good	14.752 \| good	20.828 \| good	0.419 \| good	2.687 \| good	0.074 \| good
2026-10-05T07:00:00.000Z	22 \| good	3.788 \| good	14.345 \| good	22.438 \| good	0.42 \| good	4.348 \| good	0.105 \| good
2026-10-05T08:00:00.000Z	19 \| good	2.94 \| good	10.392 \| good	19.925 \| good	0.456 \| good	7.03 \| good	0.084 \| good
2026-10-05T09:00:00.000Z	19 \| good	2.91 \| good	10.036 \| good	20.483 \| good	0.493 \| good	8.122 \| good	0.097 \| good
2026-10-05T10:00:00.000Z	19 \| good	2.035 \| good	6.659 \| good	20.481 \| good	0.534 \| good	5.263 \| good	0.085 \| good
2026-10-05T11:00:00.000Z	19 \| good	2.007 \| good	6.889 \| good	20.147 \| good	0.46 \| good	4.713 \| good	0.079 \| good
2026-10-05T12:00:00.000Z	19 \| good	1.946 \| good	7.068 \| good	20.002 \| good	0.51 \| good	3.011 \| good	0.075 \| good
2026-10-05T13:00:00.000Z	19 \| good	1.944 \| good	7.06 \| good	20.528 \| good	0.424 \| good	3.003 \| good	0.053 \| good
2026-10-05T14:00:00.000Z	19 \| good	1.91 \| good	7.026 \| good	20.984 \| good	0.424 \| good	3.661 \| good	0.052 \| good
2026-10-05T15:00:00.000Z	20 \| good	1.883 \| good	6.882 \| good	21.752 \| good	0.423 \| good	4.682 \| good	0.048 \| good
2026-10-05T16:00:00.000Z	21 \| good	1.888 \| good	7.072 \| good	22.63 \| good	0.456 \| good	5.312 \| good	0.056 \| good
2026-10-05T17:00:00.000Z	22 \| good	1.878 \| good	6.702 \| good	24.425 \| good	0.456 \| good	6.092 \| good	0.048 \| good
2026-10-05T18:00:00.000Z	22 \| good	1.896 \| good	6.901 \| good	23.881 \| good	0.457 \| good	5.776 \| good	0.084 \| good
2026-10-05T19:00:00.000Z	22 \| good	1.185 \| good	3.952 \| good	23.938 \| good	0.459 \| good	6.18 \| good	0.082 \| good
2026-10-05T20:00:00.000Z	22 \| good	1.066 \| good	3.84 \| good	23.535 \| good	0.418 \| good	5.453 \| good	0.101 \| good
2026-10-05T21:00:00.000Z	20 \| good	1.073 \| good	3.978 \| good	22.398 \| good	0.458 \| good	7.27 \| good	0.103 \| good
2026-10-05T22:00:00.000Z	19 \| good	1.044 \| good	3.996 \| good	20.6 \| good	0.459 \| good	8.033 \| good	0.11 \| good
2026-10-05T23:00:00.000Z	19 \| good	1.05 \| good	4.004 \| good	20.47 \| good	0.452 \| good	9.171 \| good	0.111 \| good
2026-10-06T00:00:00.000Z	17 \| good	1.076 \| good	4.041 \| good	18.447 \| good	0.493 \| good	6.162 \| good	0.389 \| good
2026-10-06T01:00:00.000Z	16 \| good	1.037 \| good	4.029 \| good	17.295 \| good	0.47 \| good	8.064 \| good	0.33 \| good
2026-10-06T02:00:00.000Z	15 \| good	1.005 \| good	3.898 \| good	15.612 \| good	0.457 \| good	6.124 \| good	0.338 \| good
2026-10-06T03:00:00.000Z	15 \| good	1.005 \| good	3.898 \| good	15.612 \| good	0.457 \| good	6.124 \| good	0.338 \| good
2026-10-06T00:00:00.000Z	20 \| good	3.336 \| good	5.292 \| good	22.46 \| good	0.173 \| good	3.161 \| good	0.125 \| good
2026-10-06T01:00:00.000Z	22 \| good	3.062 \| good	5.004 \| good	23.524 \| good	0.162 \| good	2.556 \| good	0.123 \| good
2026-10-06T02:00:00.000Z	22 \| good	2.726 \| good	4.701 \| good	24.134 \| good	0.159 \| good	2.144 \| good	0.121 \| good
2026-10-06T03:00:00.000Z	22 \| good	2.559 \| good	4.425 \| good	24.266 \| good	0.161 \| good	2.016 \| good	0.119 \| good
2026-10-06T04:00:00.000Z	22 \| good	2.749 \| good	4.279 \| good	24.13 \| good	0.157 \| good	2.17 \| good	0.118 \| good
2026-10-06T05:00:00.000Z	22 \| good	2.577 \| good	4.201 \| good	23.863 \| good	0.166 \| good	2.279 \| good	0.118 \| good
2026-10-06T06:00:00.000Z	21 \| good	2.869 \| good	4.813 \| good	22.78 \| good	0.221 \| good	3.932 \| good	0.122 \| good
2026-10-06T07:00:00.000Z	22 \| good	3.542 \| good	5.915 \| good	20.649 \| good	0.292 \| good	6.072 \| good	0.129 \| good
2026-10-06T08:00:00.000Z	22 \| good	3.698 \| good	5.885 \| good	21.594 \| good	0.293 \| good	5.34 \| good	0.133 \| good
2026-10-06T09:00:00.000Z	22 \| good	3.515 \| good	5.886 \| good	23.5 \| good	0.278 \| good	4.325 \| good	0.131 \| good
2026-10-06T10:00:00.000Z	23 \| good	3.645 \| good	5.413 \| good	25.236 \| good	0.258 \| good	2.937 \| good	0.127 \| good
2026-10-06T11:00:00.000Z	26 \| good	2.987 \| good	5.12 \| good	27.922 \| good	0.19 \| good	2.023 \| good	0.121 \| good
2026-10-06T12:00:00.000Z	28 \| good	2.667 \| good	4.95 \| good	29.754 \| good	0.178 \| good	1.885 \| good	0.12 \| good
2026-10-06T13:00:00.000Z	29 \| good	2.626 \| good	4.736 \| good	30.658 \| good	0.181 \| good	1.97 \| good	0.117 \| good
2026-10-06T14:00:00.000Z	28 \| good	2.603 \| good	4.374 \| good	30.285 \| good	0.163 \| good	2.173 \| good	0.117 \| good
2026-10-06T15:00:00.000Z	28 \| good	2.687 \| good	4.116 \| good	29.868 \| good	0.158 \| good	2.746 \| good	0.118 \| good
2026-10-06T16:00:00.000Z	26 \| good	2.815 \| good	4.341 \| good	28.404 \| good	0.179 \| good	3.472 \| good	0.122 \| good
2026-10-06T17:00:00.000Z	23 \| good	3.336 \| good	5.483 \| good	24.793 \| good	0.266 \| good	5.185 \| good	0.129 \| good
2026-10-06T18:00:00.000Z	22 \| good	4.303 \| good	6.964 \| good	18.779 \| good	0.378 \| good	9.64 \| good	0.141 \| good
2026-10-06T19:00:00.000Z	33 \| good	5.743 \| good	8.22 \| good	16.832 \| good	0.446 \| good	11.028 \| good	0.148 \| good
2026-10-06T20:00:00.000Z	38 \| good	6.52 \| good	8.779 \| good	18.657 \| good	0.49 \| good	9.952 \| good	0.146 \| good
2026-10-06T21:00:00.000Z	38 \| good	7.216 \| good	8.847 \| good	19.337 \| good	0.502 \| good	9.368 \| good	0.146 \| good
2026-10-06T22:00:00.000Z	44 \| good	7.86 \| good	9.364 \| good	18.402 \| good	0.487 \| good	8.751 \| good	0.146 \| good
2026-10-06T23:00:00.000Z	44 \| good	7.642 \| good	10.311 \| good	19.871 \| good	0.45 \| good	8.081 \| good	0.144 \| good
2026-10-07T00:00:00.000Z	44 \| good	8.146 \| good	10.793 \| good	20.371 \| good	0.429 \| good	7.56 \| good	0.144 \| good
2026-10-07T01:00:00.000Z	49 \| good	8.73 \| good	11.161 \| good	20.605 \| good	0.42 \| good	7.256 \| good	0.142 \| good
2026-10-07T02:00:00.000Z	44 \| good	8.351 \| good	11.019 \| good	20.655 \| good	0.365 \| good	6.8 \| good	0.142 \| good
2026-10-07T03:00:00.000Z	49 \| good	8.576 \| good	10.703 \| good	19.936 \| good	0.344 \| good	6.391 \| good	0.143 \| good
2026-10-07T04:00:00.000Z	44 \| good	8.028 \| good	9.399 \| good	18.356 \| good	0.308 \| good	6.156 \| good	0.143 \| good
2026-10-07T05:00:00.000Z	33 \| good	6.36 \| good	8.876 \| good	17.538 \| good	0.238 \| good	5.677 \| good	0.141 \| good
2026-10-07T06:00:00.000Z	33 \| good	5.707 \| good	7.238 \| good	18.3 \| good	0.251 \| good	5.868 \| good	0.142 \| good
2026-10-07T07:00:00.000Z	27 \| good	4.989 \| good	6.724 \| good	19.23 \| good	0.284 \| good	6.522 \| good	0.148 \| good
2026-10-07T08:00:00.000Z	27 \| good	4.569 \| good	6.967 \| good	20.996 \| good	0.32 \| good	6.651 \| good	0.149 \| good
2026-10-07T09:00:00.000Z	22 \| good	4.184 \| good	7.535 \| good	23.996 \| good	0.31 \| good	6.212 \| good	0.149 \| good
2026-10-07T10:00:00.000Z	24 \| good	4.077 \| good	7.389 \| good	25.897 \| good	0.303 \| good	5.291 \| good	0.146 \| good
2026-10-07T11:00:00.000Z	26 \| good	3.156 \| good	7.269 \| good	27.569 \| good	0.267 \| good	4.221 \| good	0.143 \| good
2026-10-07T12:00:00.000Z	30 \| good	2.696 \| good	6.695 \| good	31.728 \| good	0.246 \| good	3.423 \| good	0.142 \| good
2026-10-07T13:00:00.000Z	31 \| good	3.217 \| good	7.042 \| good	32.751 \| good	0.207 \| good	2.504 \| good	0.141 \| good
2026-10-07T14:00:00.000Z	31 \| good	3.339 \| good	7.158 \| good	33.552 \| good	0.182 \| good	2.47 \| good	0.141 \| good
2026-10-07T15:00:00.000Z	31 \| good	3.523 \| good	6.871 \| good	33.047 \| good	0.176 \| good	2.365 \| good	0.142 \| good
2026-10-07T16:00:00.000Z	31 \| good	3.775 \| good	7.28 \| good	34.317 \| good	0.181 \| good	2.927 \| good	0.145 \| good
2026-10-07T17:00:00.000Z	31 \| good	3.804 \| good	7.686 \| good	33.278 \| good	0.221 \| good	3.747 \| good	0.147 \| good
2026-10-07T18:00:00.000Z	30 \| good	4.523 \| good	8.869 \| good	32.392 \| good	0.261 \| good	4.556 \| good	0.149 \| good
2026-10-07T19:00:00.000Z	31 \| good	5.101 \| good	9.603 \| good	32.972 \| good	0.296 \| good	4.951 \| good	0.147 \| good
2026-10-07T20:00:00.000Z	31 \| good	4.943 \| good	9.695 \| good	33.581 \| good	0.312 \| good	4.466 \| good	0.146 \| good
2026-10-07T21:00:00.000Z	31 \| good	5.129 \| good	9.321 \| good	33.202 \| good	0.308 \| good	4.254 \| good	0.146 \| good
2026-10-07T22:00:00.000Z	31 \| good	4.879 \| good	8.193 \| good	32.611 \| good	0.28 \| good	4.145 \| good	0.145 \| good
2026-10-07T23:00:00.000Z	29 \| good	4.457 \| good	7.934 \| good	30.688 \| good	0.231 \| good	3.639 \| good	0.143 \| good

Great Wyrley

Get reliable air quality data to drive your business

Great Wyrley, Staffordshire air quality map: Stay updated on AQI near you

0.11ppm

How accurate is Staffordshire, UK air quality data?

Air quality and pollutant data for Staffordshire, 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

Air quality levels in UK

Check live rankings of places in the UK affected by air pollution.

View Polluted Cities

Check live rankings of places in the UK with the cleanest air.

View Clean Cities

Frequently asked questions

How often is air quality information updated for Great Wyrley, Staffordshire?

The air quality information for Great Wyrley, Staffordshire is updated every hour for accuracy.

What time in the last 24 hours was the air quality in Great Wyrley, Staffordshire at its worst?

In the past 24 hours, the air quality in Great Wyrley, Staffordshire was at its worst at 11:00:00 on 2026-10-04.

When did Great Wyrley, Staffordshire experience the best air quality in the last 24 hours?

In the last 24 hours, the best air quality in Great Wyrley, Staffordshire was observed at 10:00:00 on 2026-10-05.

What is the AQI in Great Wyrley, Staffordshire right now?

As of now, the AQI in Great Wyrley, Staffordshire is 19, indicating Good conditions.

What is the most common type of pollution in Great Wyrley, Staffordshire?

Great Wyrley, Staffordshire air has the highest levels of O3.

What should I do in case of poor air quality in Great Wyrley, Staffordshire?

Poor air quality in Great Wyrley, Staffordshire means it's advisable to stay indoors and wear a mask for your protection.

What is the PM_2.5 level in Great Wyrley, Staffordshire at the moment?

PM_2.5 levels in Great Wyrley, Staffordshire are currently 1.044 μg/m³.

What is the PM₁₀ level in Great Wyrley, Staffordshire at the moment?

The PM₁₀ concentration in Great Wyrley, Staffordshire is 3.996 μg/m³ at the moment.

What is the carbon monoxide (CO) level in Great Wyrley, Staffordshire at the moment?

The current carbon monoxide (CO) concentration in Great Wyrley, Staffordshire is 0.11 ppm.

What is the sulfur dioxide (SO₂) level in Great Wyrley, Staffordshire at the moment?

Currently, Great Wyrley, Staffordshire has a sulfur dioxide (SO₂) concentration of 0.459 ppb.

What is the ozone (O₃) level in Great Wyrley, Staffordshire at the moment?

The current ozone (O₃) level in Great Wyrley, Staffordshire at the moment is 20.6 ppm.

What is the nitrogen dioxide (NO₂) level in Great Wyrley, Staffordshire at the moment?

Nitrogen dioxide (NO₂) level in Great Wyrley, Staffordshire at the moment is 8.033 ppb.

Certified

APIs

Refund Policy

Historical Climate Data

Terms & Conditions

Refund Policy

Terms & Conditions

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-10-04T04:00:00.000Z	22 \| good	4.425 \| good	16.179 \| good	2.951 \| good	0.686 \| good	9.793 \| good	0.056 \| good
2026-10-04T05:00:00.000Z	27 \| good	4.809 \| good	16.255 \| good	3.203 \| good	0.475 \| good	9.726 \| good	0.057 \| good
2026-10-04T06:00:00.000Z	27 \| good	4.849 \| good	17.085 \| good	1.702 \| good	0.53 \| good	9.759 \| good	0.062 \| good
2026-10-04T07:00:00.000Z	33 \| good	5.828 \| good	19.913 \| good	1.227 \| good	0.436 \| good	13.017 \| good	0.058 \| good
2026-10-04T08:00:00.000Z	33 \| good	6.215 \| good	20.577 \| good	2.264 \| good	0.438 \| good	14.427 \| good	0.068 \| good
2026-10-04T09:00:00.000Z	33 \| good	6.023 \| good	19.427 \| good	2.265 \| good	0.511 \| good	12.621 \| good	0.069 \| good
2026-10-04T10:00:00.000Z	38 \| good	6.644 \| good	22.998 \| good	3.704 \| good	0.46 \| good	13.085 \| good	0.063 \| good
2026-10-04T11:00:00.000Z	38 \| good	7.043 \| good	23.779 \| good	6.866 \| good	0.545 \| good	11.104 \| good	0.062 \| good
2026-10-04T12:00:00.000Z	38 \| good	6.723 \| good	22.886 \| good	9.699 \| good	0.786 \| good	5.652 \| good	0.06 \| good
2026-10-04T13:00:00.000Z	34 \| good	2.855 \| good	5.856 \| good	36.766 \| good	0.227 \| good	1.744 \| good	0.144 \| good
2026-10-04T14:00:00.000Z	38 \| good	7.164 \| good	23.263 \| good	14.915 \| good	0.98 \| good	4.963 \| good	0.046 \| good
2026-10-04T15:00:00.000Z	38 \| good	6.706 \| good	23.218 \| good	19.661 \| good	0.915 \| good	3.486 \| good	0.044 \| good
2026-10-04T16:00:00.000Z	38 \| good	6.892 \| good	23.629 \| good	23.134 \| good	0.606 \| good	3.247 \| good	0.044 \| good
2026-10-04T17:00:00.000Z	38 \| good	6.859 \| good	23.023 \| good	25.083 \| good	0.461 \| good	3.586 \| good	0.055 \| good
2026-10-04T18:00:00.000Z	38 \| good	6.877 \| good	23.142 \| good	26.514 \| good	0.42 \| good	3.384 \| good	0.054 \| good
2026-10-04T19:00:00.000Z	33 \| good	5.913 \| good	19.454 \| good	26.395 \| good	0.419 \| good	3.974 \| good	0.077 \| good
2026-10-04T20:00:00.000Z	27 \| good	4.932 \| good	6.764 \| good	22.225 \| good	0.352 \| good	6.228 \| good	0.145 \| good
2026-10-04T21:00:00.000Z	33 \| good	5.561 \| good	19.663 \| good	25.418 \| good	0.454 \| good	7.566 \| good	0.083 \| good
2026-10-04T22:00:00.000Z	33 \| good	5.649 \| good	19.047 \| good	23.44 \| good	0.417 \| good	8.18 \| good	0.1 \| good
2026-10-04T23:00:00.000Z	33 \| good	5.616 \| good	19.064 \| good	22.883 \| good	0.417 \| good	5.628 \| good	0.106 \| good
2026-10-05T00:00:00.000Z	27 \| good	5.369 \| good	19.19 \| good	22.041 \| good	0.382 \| good	5.544 \| good	0.328 \| good
2026-10-05T01:00:00.000Z	27 \| good	5.327 \| good	19 \| good	21.209 \| good	0.382 \| good	3.88 \| good	0.332 \| good
2026-10-05T02:00:00.000Z	27 \| good	5.317 \| good	18.852 \| good	21.484 \| good	0.457 \| good	3.523 \| good	0.29 \| good
2026-10-05T03:00:00.000Z	22 \| good	4.278 \| good	15.408 \| good	21.54 \| good	0.419 \| good	6.392 \| good	0.277 \| good
2026-10-05T04:00:00.000Z	22 \| good	4.3 \| good	15.401 \| good	21.6 \| good	0.493 \| good	4.911 \| good	0.07 \| good
2026-10-05T05:00:00.000Z	22 \| good	4.072 \| good	14.806 \| good	22.105 \| good	0.382 \| good	3.245 \| good	0.065 \| good
2026-10-05T06:00:00.000Z	22 \| good	3.929 \| good	14.752 \| good	20.828 \| good	0.419 \| good	2.687 \| good	0.074 \| good
2026-10-05T07:00:00.000Z	22 \| good	3.788 \| good	14.345 \| good	22.438 \| good	0.42 \| good	4.348 \| good	0.105 \| good
2026-10-05T08:00:00.000Z	19 \| good	2.94 \| good	10.392 \| good	19.925 \| good	0.456 \| good	7.03 \| good	0.084 \| good
2026-10-05T09:00:00.000Z	19 \| good	2.91 \| good	10.036 \| good	20.483 \| good	0.493 \| good	8.122 \| good	0.097 \| good
2026-10-05T10:00:00.000Z	19 \| good	2.035 \| good	6.659 \| good	20.481 \| good	0.534 \| good	5.263 \| good	0.085 \| good
2026-10-05T11:00:00.000Z	19 \| good	2.007 \| good	6.889 \| good	20.147 \| good	0.46 \| good	4.713 \| good	0.079 \| good
2026-10-05T12:00:00.000Z	19 \| good	1.946 \| good	7.068 \| good	20.002 \| good	0.51 \| good	3.011 \| good	0.075 \| good
2026-10-05T13:00:00.000Z	19 \| good	1.944 \| good	7.06 \| good	20.528 \| good	0.424 \| good	3.003 \| good	0.053 \| good
2026-10-05T14:00:00.000Z	19 \| good	1.91 \| good	7.026 \| good	20.984 \| good	0.424 \| good	3.661 \| good	0.052 \| good
2026-10-05T15:00:00.000Z	20 \| good	1.883 \| good	6.882 \| good	21.752 \| good	0.423 \| good	4.682 \| good	0.048 \| good
2026-10-05T16:00:00.000Z	21 \| good	1.888 \| good	7.072 \| good	22.63 \| good	0.456 \| good	5.312 \| good	0.056 \| good
2026-10-05T17:00:00.000Z	22 \| good	1.878 \| good	6.702 \| good	24.425 \| good	0.456 \| good	6.092 \| good	0.048 \| good
2026-10-05T18:00:00.000Z	22 \| good	1.896 \| good	6.901 \| good	23.881 \| good	0.457 \| good	5.776 \| good	0.084 \| good
2026-10-05T19:00:00.000Z	22 \| good	1.185 \| good	3.952 \| good	23.938 \| good	0.459 \| good	6.18 \| good	0.082 \| good
2026-10-05T20:00:00.000Z	22 \| good	1.066 \| good	3.84 \| good	23.535 \| good	0.418 \| good	5.453 \| good	0.101 \| good
2026-10-05T21:00:00.000Z	20 \| good	1.073 \| good	3.978 \| good	22.398 \| good	0.458 \| good	7.27 \| good	0.103 \| good
2026-10-05T22:00:00.000Z	19 \| good	1.044 \| good	3.996 \| good	20.6 \| good	0.459 \| good	8.033 \| good	0.11 \| good
2026-10-05T23:00:00.000Z	19 \| good	1.05 \| good	4.004 \| good	20.47 \| good	0.452 \| good	9.171 \| good	0.111 \| good
2026-10-06T00:00:00.000Z	17 \| good	1.076 \| good	4.041 \| good	18.447 \| good	0.493 \| good	6.162 \| good	0.389 \| good
2026-10-06T01:00:00.000Z	16 \| good	1.037 \| good	4.029 \| good	17.295 \| good	0.47 \| good	8.064 \| good	0.33 \| good
2026-10-06T02:00:00.000Z	15 \| good	1.005 \| good	3.898 \| good	15.612 \| good	0.457 \| good	6.124 \| good	0.338 \| good
2026-10-06T03:00:00.000Z	15 \| good	1.005 \| good	3.898 \| good	15.612 \| good	0.457 \| good	6.124 \| good	0.338 \| good
2026-10-06T00:00:00.000Z	20 \| good	3.336 \| good	5.292 \| good	22.46 \| good	0.173 \| good	3.161 \| good	0.125 \| good
2026-10-06T01:00:00.000Z	22 \| good	3.062 \| good	5.004 \| good	23.524 \| good	0.162 \| good	2.556 \| good	0.123 \| good
2026-10-06T02:00:00.000Z	22 \| good	2.726 \| good	4.701 \| good	24.134 \| good	0.159 \| good	2.144 \| good	0.121 \| good
2026-10-06T03:00:00.000Z	22 \| good	2.559 \| good	4.425 \| good	24.266 \| good	0.161 \| good	2.016 \| good	0.119 \| good
2026-10-06T04:00:00.000Z	22 \| good	2.749 \| good	4.279 \| good	24.13 \| good	0.157 \| good	2.17 \| good	0.118 \| good
2026-10-06T05:00:00.000Z	22 \| good	2.577 \| good	4.201 \| good	23.863 \| good	0.166 \| good	2.279 \| good	0.118 \| good
2026-10-06T06:00:00.000Z	21 \| good	2.869 \| good	4.813 \| good	22.78 \| good	0.221 \| good	3.932 \| good	0.122 \| good
2026-10-06T07:00:00.000Z	22 \| good	3.542 \| good	5.915 \| good	20.649 \| good	0.292 \| good	6.072 \| good	0.129 \| good
2026-10-06T08:00:00.000Z	22 \| good	3.698 \| good	5.885 \| good	21.594 \| good	0.293 \| good	5.34 \| good	0.133 \| good
2026-10-06T09:00:00.000Z	22 \| good	3.515 \| good	5.886 \| good	23.5 \| good	0.278 \| good	4.325 \| good	0.131 \| good
2026-10-06T10:00:00.000Z	23 \| good	3.645 \| good	5.413 \| good	25.236 \| good	0.258 \| good	2.937 \| good	0.127 \| good
2026-10-06T11:00:00.000Z	26 \| good	2.987 \| good	5.12 \| good	27.922 \| good	0.19 \| good	2.023 \| good	0.121 \| good
2026-10-06T12:00:00.000Z	28 \| good	2.667 \| good	4.95 \| good	29.754 \| good	0.178 \| good	1.885 \| good	0.12 \| good
2026-10-06T13:00:00.000Z	29 \| good	2.626 \| good	4.736 \| good	30.658 \| good	0.181 \| good	1.97 \| good	0.117 \| good
2026-10-06T14:00:00.000Z	28 \| good	2.603 \| good	4.374 \| good	30.285 \| good	0.163 \| good	2.173 \| good	0.117 \| good
2026-10-06T15:00:00.000Z	28 \| good	2.687 \| good	4.116 \| good	29.868 \| good	0.158 \| good	2.746 \| good	0.118 \| good
2026-10-06T16:00:00.000Z	26 \| good	2.815 \| good	4.341 \| good	28.404 \| good	0.179 \| good	3.472 \| good	0.122 \| good
2026-10-06T17:00:00.000Z	23 \| good	3.336 \| good	5.483 \| good	24.793 \| good	0.266 \| good	5.185 \| good	0.129 \| good
2026-10-06T18:00:00.000Z	22 \| good	4.303 \| good	6.964 \| good	18.779 \| good	0.378 \| good	9.64 \| good	0.141 \| good
2026-10-06T19:00:00.000Z	33 \| good	5.743 \| good	8.22 \| good	16.832 \| good	0.446 \| good	11.028 \| good	0.148 \| good
2026-10-06T20:00:00.000Z	38 \| good	6.52 \| good	8.779 \| good	18.657 \| good	0.49 \| good	9.952 \| good	0.146 \| good
2026-10-06T21:00:00.000Z	38 \| good	7.216 \| good	8.847 \| good	19.337 \| good	0.502 \| good	9.368 \| good	0.146 \| good
2026-10-06T22:00:00.000Z	44 \| good	7.86 \| good	9.364 \| good	18.402 \| good	0.487 \| good	8.751 \| good	0.146 \| good
2026-10-06T23:00:00.000Z	44 \| good	7.642 \| good	10.311 \| good	19.871 \| good	0.45 \| good	8.081 \| good	0.144 \| good
2026-10-07T00:00:00.000Z	44 \| good	8.146 \| good	10.793 \| good	20.371 \| good	0.429 \| good	7.56 \| good	0.144 \| good
2026-10-07T01:00:00.000Z	49 \| good	8.73 \| good	11.161 \| good	20.605 \| good	0.42 \| good	7.256 \| good	0.142 \| good
2026-10-07T02:00:00.000Z	44 \| good	8.351 \| good	11.019 \| good	20.655 \| good	0.365 \| good	6.8 \| good	0.142 \| good
2026-10-07T03:00:00.000Z	49 \| good	8.576 \| good	10.703 \| good	19.936 \| good	0.344 \| good	6.391 \| good	0.143 \| good
2026-10-07T04:00:00.000Z	44 \| good	8.028 \| good	9.399 \| good	18.356 \| good	0.308 \| good	6.156 \| good	0.143 \| good
2026-10-07T05:00:00.000Z	33 \| good	6.36 \| good	8.876 \| good	17.538 \| good	0.238 \| good	5.677 \| good	0.141 \| good
2026-10-07T06:00:00.000Z	33 \| good	5.707 \| good	7.238 \| good	18.3 \| good	0.251 \| good	5.868 \| good	0.142 \| good
2026-10-07T07:00:00.000Z	27 \| good	4.989 \| good	6.724 \| good	19.23 \| good	0.284 \| good	6.522 \| good	0.148 \| good
2026-10-07T08:00:00.000Z	27 \| good	4.569 \| good	6.967 \| good	20.996 \| good	0.32 \| good	6.651 \| good	0.149 \| good
2026-10-07T09:00:00.000Z	22 \| good	4.184 \| good	7.535 \| good	23.996 \| good	0.31 \| good	6.212 \| good	0.149 \| good
2026-10-07T10:00:00.000Z	24 \| good	4.077 \| good	7.389 \| good	25.897 \| good	0.303 \| good	5.291 \| good	0.146 \| good
2026-10-07T11:00:00.000Z	26 \| good	3.156 \| good	7.269 \| good	27.569 \| good	0.267 \| good	4.221 \| good	0.143 \| good
2026-10-07T12:00:00.000Z	30 \| good	2.696 \| good	6.695 \| good	31.728 \| good	0.246 \| good	3.423 \| good	0.142 \| good
2026-10-07T13:00:00.000Z	31 \| good	3.217 \| good	7.042 \| good	32.751 \| good	0.207 \| good	2.504 \| good	0.141 \| good
2026-10-07T14:00:00.000Z	31 \| good	3.339 \| good	7.158 \| good	33.552 \| good	0.182 \| good	2.47 \| good	0.141 \| good
2026-10-07T15:00:00.000Z	31 \| good	3.523 \| good	6.871 \| good	33.047 \| good	0.176 \| good	2.365 \| good	0.142 \| good
2026-10-07T16:00:00.000Z	31 \| good	3.775 \| good	7.28 \| good	34.317 \| good	0.181 \| good	2.927 \| good	0.145 \| good
2026-10-07T17:00:00.000Z	31 \| good	3.804 \| good	7.686 \| good	33.278 \| good	0.221 \| good	3.747 \| good	0.147 \| good
2026-10-07T18:00:00.000Z	30 \| good	4.523 \| good	8.869 \| good	32.392 \| good	0.261 \| good	4.556 \| good	0.149 \| good
2026-10-07T19:00:00.000Z	31 \| good	5.101 \| good	9.603 \| good	32.972 \| good	0.296 \| good	4.951 \| good	0.147 \| good
2026-10-07T20:00:00.000Z	31 \| good	4.943 \| good	9.695 \| good	33.581 \| good	0.312 \| good	4.466 \| good	0.146 \| good
2026-10-07T21:00:00.000Z	31 \| good	5.129 \| good	9.321 \| good	33.202 \| good	0.308 \| good	4.254 \| good	0.146 \| good
2026-10-07T22:00:00.000Z	31 \| good	4.879 \| good	8.193 \| good	32.611 \| good	0.28 \| good	4.145 \| good	0.145 \| good
2026-10-07T23:00:00.000Z	29 \| good	4.457 \| good	7.934 \| good	30.688 \| good	0.231 \| good	3.639 \| good	0.143 \| good

Live air quality index in Great Wyrley, Staffordshire today

Major air pollutants in Great Wyrley, Staffordshire

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Great Wyrley, Staffordshire air quality forecast and history

Get reliable air quality data to drive your business

Great Wyrley, Staffordshire air quality map: Stay updated on AQI near you

Air quality in nearby cities

Pelsall, West Midlands

Cannock, Staffordshire

Bloxwich, West Midlands

Brownhills, West Midlands

Burntwood, Staffordshire

Rushall, West Midlands

How accurate is Staffordshire, UK air quality data?

Air quality levels in UK

Frequently asked questions

How often is air quality information updated for Great Wyrley, Staffordshire?

What time in the last 24 hours was the air quality in Great Wyrley, Staffordshire at its worst?

When did Great Wyrley, Staffordshire experience the best air quality in the last 24 hours?

What is the AQI in Great Wyrley, Staffordshire right now?

What is the most common type of pollution in Great Wyrley, Staffordshire?

What should I do in case of poor air quality in Great Wyrley, Staffordshire?

What is the PM2.5 level in Great Wyrley, Staffordshire at the moment?

What is the PM10 level in Great Wyrley, Staffordshire at the moment?

What is the carbon monoxide (CO) level in Great Wyrley, Staffordshire at the moment?

What is the sulfur dioxide (SO2) level in Great Wyrley, Staffordshire at the moment?

What is the ozone (O3) level in Great Wyrley, Staffordshire at the moment?

What is the nitrogen dioxide (NO2) level in Great Wyrley, Staffordshire 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 Great Wyrley, Staffordshire at the moment?

What is the PM₁₀ level in Great Wyrley, Staffordshire at the moment?

What is the sulfur dioxide (SO₂) level in Great Wyrley, Staffordshire at the moment?

What is the ozone (O₃) level in Great Wyrley, Staffordshire at the moment?

What is the nitrogen dioxide (NO₂) level in Great Wyrley, Staffordshire at the moment?