What are the current PM10 levels at Walsall, West Midlands?

The current PM10 levels in Walsall, West Midlands are 12.013 μg/m3.

What are the current sulfur dioxide (SO2) levels at Walsall, West Midlands?

The current sulfur dioxide (SO2) levels in Walsall, West Midlands are 0.458 ppb.

What are the current ozone (O3) levels at Walsall, West Midlands?

The current ozone (O3) levels at Walsall, West Midlands is 9.394 ppm.

What are the current nitrogen dioxide (NO2) levels at Walsall, West Midlands?

The current nitrogen dioxide (NO2) levels at Walsall, West Midlands is 4.44 ppb.

Real-time air quality index in Walsall, West Midlands today

Q: What are the current PM2.5 levels in Walsall, West Midlands?

The measured PM2.5 levels in Walsall, West Midlands at present are 5.064 μg/m3.

Stay updated with real-time air quality in Walsall, West Midlands 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

Walsall, West Midlands

Last updated: ... (Local time)

Common air pollutants in Walsall, West Midlands

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

6.21 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

14.24 μg/m³

155

255

425

605+

Ozone (O₃)

14.63 ppb

201

201+

Sulfur Dioxide (SO₂)

0.50 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

4.30 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.28 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Walsall, West Midlands

Get Live Pollen Counts

Walsall, West Midlands

Scroll To Air Quality Map

Track live Walsall, West Midlands air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-10-05T08:00:00.000Z	19 \| good	2.851 \| good	7.695 \| good	21.248 \| good	0.449 \| good	9.24 \| good	0.084 \| good
2026-10-05T09:00:00.000Z	19 \| good	2.764 \| good	6.952 \| good	20.962 \| good	0.482 \| good	11.393 \| good	0.098 \| good
2026-10-05T10:00:00.000Z	19 \| good	2.07 \| good	4.795 \| good	20.871 \| good	0.516 \| good	6.988 \| good	0.085 \| good
2026-10-05T11:00:00.000Z	19 \| good	2.024 \| good	5.152 \| good	20.627 \| good	0.45 \| good	4.61 \| good	0.079 \| good
2026-10-05T12:00:00.000Z	19 \| good	1.906 \| good	5.432 \| good	20.407 \| good	0.493 \| good	4.271 \| good	0.076 \| good
2026-10-05T13:00:00.000Z	19 \| good	1.854 \| good	5.402 \| good	20.431 \| good	0.418 \| good	4.662 \| good	0.053 \| good
2026-10-05T14:00:00.000Z	19 \| good	1.783 \| good	5.273 \| good	20.98 \| good	0.417 \| good	4.674 \| good	0.052 \| good
2026-10-05T15:00:00.000Z	20 \| good	1.716 \| good	5.084 \| good	21.598 \| good	0.417 \| good	5.51 \| good	0.048 \| good
2026-10-05T16:00:00.000Z	21 \| good	1.735 \| good	5.451 \| good	22.602 \| good	0.443 \| good	5.442 \| good	0.056 \| good
2026-10-05T17:00:00.000Z	22 \| good	1.717 \| good	4.862 \| good	23.713 \| good	0.443 \| good	7.005 \| good	0.048 \| good
2026-10-05T18:00:00.000Z	22 \| good	1.758 \| good	5.213 \| good	23.786 \| good	0.443 \| good	6.049 \| good	0.084 \| good
2026-10-05T19:00:00.000Z	22 \| good	1.48 \| good	3.83 \| good	23.724 \| good	0.451 \| good	6.707 \| good	0.082 \| good
2026-10-05T20:00:00.000Z	21 \| good	1.132 \| good	3.645 \| good	23.498 \| good	0.414 \| good	7.008 \| good	0.101 \| good
2026-10-05T21:00:00.000Z	20 \| good	1.141 \| good	3.923 \| good	22.336 \| good	0.448 \| good	8.199 \| good	0.103 \| good
2026-10-05T22:00:00.000Z	19 \| good	1.093 \| good	3.919 \| good	20.85 \| good	0.449 \| good	8.31 \| good	0.11 \| good
2026-10-05T23:00:00.000Z	19 \| good	1.115 \| good	3.95 \| good	19.568 \| good	0.426 \| good	8.009 \| good	0.111 \| good
2026-10-06T00:00:00.000Z	17 \| good	1.16 \| good	4.002 \| good	18.005 \| good	0.461 \| good	6.098 \| good	0.389 \| good
2026-10-06T01:00:00.000Z	16 \| good	1.08 \| good	4.031 \| good	17.185 \| good	0.457 \| good	4.295 \| good	0.33 \| good
2026-10-06T02:00:00.000Z	15 \| good	1.024 \| good	3.7 \| good	16.023 \| good	0.447 \| good	3.997 \| good	0.338 \| good
2026-10-06T03:00:00.000Z	13 \| good	1.048 \| good	3.528 \| good	14.363 \| good	0.416 \| good	4.592 \| good	0.289 \| good
2026-10-06T04:00:00.000Z	12 \| good	1.019 \| good	3.633 \| good	13.111 \| good	0.382 \| good	4.898 \| good	0.285 \| good
2026-10-06T05:00:00.000Z	11 \| good	1.026 \| good	3.812 \| good	11.75 \| good	0.416 \| good	4.036 \| good	0.298 \| good
2026-10-06T06:00:00.000Z	10 \| good	1.392 \| good	3.873 \| good	11.094 \| good	0.418 \| good	5.237 \| good	0.312 \| good
2026-10-06T07:00:00.000Z	11 \| good	1.823 \| good	5.717 \| good	9.977 \| good	0.468 \| good	8.147 \| good	0.42 \| good
2026-10-06T08:00:00.000Z	12 \| good	2.022 \| good	5.681 \| good	8.298 \| good	0.382 \| good	13.415 \| good	0.395 \| good
2026-10-06T09:00:00.000Z	14 \| good	2.232 \| good	6.078 \| good	6.518 \| good	0.491 \| good	14.704 \| good	0.362 \| good
2026-10-06T10:00:00.000Z	11 \| good	2.498 \| good	5.966 \| good	4.677 \| good	0.514 \| good	12.371 \| good	0.343 \| good
2026-10-06T11:00:00.000Z	11 \| good	2.282 \| good	5.754 \| good	6.034 \| good	0.583 \| good	8.253 \| good	0.284 \| good
2026-10-06T12:00:00.000Z	16 \| good	2.635 \| good	7.701 \| good	7.226 \| good	0.567 \| good	6.877 \| good	0.221 \| good
2026-10-06T13:00:00.000Z	16 \| good	3.14 \| good	8.361 \| good	9.202 \| good	0.483 \| good	5.092 \| good	0.189 \| good
2026-10-06T14:00:00.000Z	16 \| good	3.115 \| good	8.566 \| good	11.452 \| good	0.484 \| good	5.285 \| good	0.183 \| good
2026-10-06T15:00:00.000Z	16 \| good	3.134 \| good	7.814 \| good	14.017 \| good	0.717 \| good	8.771 \| good	0.193 \| good
2026-10-06T16:00:00.000Z	16 \| good	3.052 \| good	7.223 \| good	17.128 \| good	0.846 \| good	7.499 \| good	0.222 \| good
2026-10-06T17:00:00.000Z	19 \| good	3.022 \| good	8.382 \| good	19.529 \| good	0.498 \| good	7.954 \| good	0.209 \| good
2026-10-06T18:00:00.000Z	19 \| good	3.144 \| good	9.055 \| good	20.687 \| good	0.469 \| good	9.991 \| good	0.397 \| good
2026-10-06T19:00:00.000Z	19 \| good	3.165 \| good	7.808 \| good	20.819 \| good	0.648 \| good	14.411 \| good	0.513 \| good
2026-10-06T20:00:00.000Z	22 \| good	3.635 \| good	8.318 \| good	20.046 \| good	0.561 \| good	18.187 \| good	0.506 \| good
2026-10-06T21:00:00.000Z	17 \| good	3.309 \| good	8.677 \| good	18.284 \| good	0.506 \| good	18.216 \| good	0.492 \| good
2026-10-06T22:00:00.000Z	22 \| good	3.775 \| good	9.422 \| good	14.418 \| good	0.718 \| good	14.918 \| good	0.459 \| good
2026-10-06T23:00:00.000Z	22 \| good	4.316 \| good	9.55 \| good	12.992 \| good	0.462 \| good	9.017 \| good	0.437 \| good
2026-10-07T00:00:00.000Z	22 \| good	4.03 \| good	12.747 \| good	11.477 \| good	0.428 \| good	8.087 \| good	0.374 \| good
2026-10-07T01:00:00.000Z	27 \| good	4.788 \| good	11.54 \| good	10.506 \| good	0.451 \| good	6.106 \| good	0.379 \| good
2026-10-07T02:00:00.000Z	27 \| good	5.064 \| good	12.013 \| good	9.394 \| good	0.458 \| good	4.44 \| good	0.285 \| good
2026-10-07T03:00:00.000Z	27 \| good	5.139 \| good	12.529 \| good	10.535 \| good	0.454 \| good	3.303 \| good	0.27 \| good
2026-10-07T04:00:00.000Z	33 \| good	6.061 \| good	13.011 \| good	12.012 \| good	0.485 \| good	4.411 \| good	0.266 \| good
2026-10-07T05:00:00.000Z	33 \| good	5.906 \| good	12.474 \| good	14.245 \| good	0.451 \| good	3.214 \| good	0.277 \| good
2026-10-07T06:00:00.000Z	33 \| good	6.21 \| good	14.242 \| good	14.632 \| good	0.496 \| good	4.303 \| good	0.282 \| good
2026-10-07T07:00:00.000Z	33 \| good	6.21 \| good	14.242 \| good	14.632 \| good	0.496 \| good	4.303 \| good	0.282 \| good
2026-10-07T04:00:00.000Z	44 \| good	7.807 \| good	10.018 \| good	14.406 \| good	0.275 \| good	8.912 \| good	0.155 \| good
2026-10-07T05:00:00.000Z	38 \| good	7.399 \| good	9.729 \| good	13.188 \| good	0.288 \| good	9.189 \| good	0.154 \| good
2026-10-07T06:00:00.000Z	38 \| good	6.635 \| good	8.452 \| good	14.902 \| good	0.326 \| good	9.722 \| good	0.152 \| good
2026-10-07T07:00:00.000Z	33 \| good	6.003 \| good	7.245 \| good	16.403 \| good	0.358 \| good	8.125 \| good	0.151 \| good
2026-10-07T08:00:00.000Z	27 \| good	4.621 \| good	6.426 \| good	20.16 \| good	0.349 \| good	7.352 \| good	0.149 \| good
2026-10-07T09:00:00.000Z	22 \| good	4.042 \| good	6.45 \| good	22.961 \| good	0.317 \| good	7.148 \| good	0.149 \| good
2026-10-07T10:00:00.000Z	22 \| good	4.13 \| good	6.595 \| good	23.382 \| good	0.317 \| good	6.764 \| good	0.153 \| good
2026-10-07T11:00:00.000Z	24 \| good	3.741 \| good	6.317 \| good	25.658 \| good	0.299 \| good	6.437 \| good	0.153 \| good
2026-10-07T12:00:00.000Z	24 \| good	3.784 \| good	7.301 \| good	26.465 \| good	0.276 \| good	5.801 \| good	0.15 \| good
2026-10-07T13:00:00.000Z	29 \| good	2.737 \| good	7.475 \| good	31.143 \| good	0.256 \| good	3.861 \| good	0.143 \| good
2026-10-07T14:00:00.000Z	31 \| good	3.017 \| good	6.099 \| good	32.951 \| good	0.219 \| good	2.822 \| good	0.141 \| good
2026-10-07T15:00:00.000Z	31 \| good	3.19 \| good	6.396 \| good	33.478 \| good	0.182 \| good	2.596 \| good	0.142 \| good
2026-10-07T16:00:00.000Z	31 \| good	3.293 \| good	6.384 \| good	32.906 \| good	0.208 \| good	2.998 \| good	0.145 \| good
2026-10-07T17:00:00.000Z	31 \| good	3.492 \| good	7.19 \| good	32.891 \| good	0.222 \| good	4.092 \| good	0.147 \| good
2026-10-07T18:00:00.000Z	30 \| good	4.109 \| good	8.172 \| good	31.68 \| good	0.269 \| good	5.119 \| good	0.147 \| good
2026-10-07T19:00:00.000Z	30 \| good	4.567 \| good	9.342 \| good	32.157 \| good	0.303 \| good	5.082 \| good	0.146 \| good
2026-10-07T20:00:00.000Z	30 \| good	4.925 \| good	9.352 \| good	32.289 \| good	0.332 \| good	4.56 \| good	0.145 \| good
2026-10-07T21:00:00.000Z	31 \| good	4.965 \| good	9.477 \| good	33.239 \| good	0.312 \| good	4.36 \| good	0.143 \| good
2026-10-07T22:00:00.000Z	30 \| good	4.811 \| good	9.663 \| good	32.105 \| good	0.281 \| good	4.191 \| good	0.14 \| good
2026-10-07T23:00:00.000Z	29 \| good	4.499 \| good	10.27 \| good	30.549 \| good	0.239 \| good	3.591 \| good	0.138 \| good
2026-10-08T00:00:00.000Z	29 \| good	4.39 \| good	10.668 \| good	31.224 \| good	0.214 \| good	3.282 \| good	0.138 \| good
2026-10-08T01:00:00.000Z	29 \| good	4.323 \| good	9.437 \| good	31.485 \| good	0.217 \| good	2.861 \| good	0.138 \| good
2026-10-08T02:00:00.000Z	29 \| good	4.35 \| good	8.593 \| good	30.919 \| good	0.223 \| good	2.844 \| good	0.139 \| good
2026-10-08T03:00:00.000Z	27 \| good	4.248 \| good	8.407 \| good	29.187 \| good	0.229 \| good	2.905 \| good	0.138 \| good
2026-10-08T04:00:00.000Z	25 \| good	3.886 \| good	8.166 \| good	26.694 \| good	0.237 \| good	3.006 \| good	0.14 \| good
2026-10-08T05:00:00.000Z	23 \| good	3.524 \| good	7.942 \| good	24.729 \| good	0.26 \| good	3.426 \| good	0.141 \| good
2026-10-08T06:00:00.000Z	22 \| good	3.534 \| good	8.074 \| good	21.838 \| good	0.305 \| good	4.826 \| good	0.146 \| good
2026-10-08T07:00:00.000Z	22 \| good	3.676 \| good	7.829 \| good	20.438 \| good	0.381 \| good	6.804 \| good	0.153 \| good
2026-10-08T08:00:00.000Z	22 \| good	3.804 \| good	8.222 \| good	22.969 \| good	0.388 \| good	5.735 \| good	0.154 \| good
2026-10-08T09:00:00.000Z	25 \| good	2.912 \| good	7.249 \| good	26.666 \| good	0.34 \| good	4.152 \| good	0.15 \| good
2026-10-08T10:00:00.000Z	28 \| good	2.606 \| good	6.646 \| good	30.035 \| good	0.281 \| good	3.104 \| good	0.148 \| good
2026-10-08T11:00:00.000Z	31 \| good	2.512 \| good	6.361 \| good	33.006 \| good	0.247 \| good	2.58 \| good	0.145 \| good
2026-10-08T12:00:00.000Z	31 \| good	2.48 \| good	6.455 \| good	34.33 \| good	0.221 \| good	2.275 \| good	0.143 \| good
2026-10-08T13:00:00.000Z	32 \| good	2.51 \| good	6.143 \| good	34.782 \| good	0.196 \| good	2.036 \| good	0.141 \| good
2026-10-08T14:00:00.000Z	32 \| good	2.611 \| good	5.837 \| good	35.129 \| good	0.172 \| good	1.864 \| good	0.139 \| good
2026-10-08T15:00:00.000Z	31 \| good	2.725 \| good	6.405 \| good	34.455 \| good	0.16 \| good	1.954 \| good	0.138 \| good
2026-10-08T16:00:00.000Z	31 \| good	2.843 \| good	6.808 \| good	33.434 \| good	0.182 \| good	2.718 \| good	0.142 \| good
2026-10-08T17:00:00.000Z	29 \| good	2.962 \| good	6.928 \| good	31.331 \| good	0.239 \| good	4.177 \| good	0.146 \| good
2026-10-08T18:00:00.000Z	26 \| good	3.576 \| good	8.091 \| good	27.768 \| good	0.319 \| good	6.201 \| good	0.149 \| good
2026-10-08T19:00:00.000Z	25 \| good	4.097 \| good	8.256 \| good	26.612 \| good	0.369 \| good	6.624 \| good	0.146 \| good
2026-10-08T20:00:00.000Z	27 \| good	3.776 \| good	7.353 \| good	28.532 \| good	0.331 \| good	4.772 \| good	0.143 \| good
2026-10-08T21:00:00.000Z	28 \| good	3.296 \| good	7.19 \| good	30.254 \| good	0.285 \| good	3.885 \| good	0.14 \| good
2026-10-08T22:00:00.000Z	30 \| good	3.486 \| good	6.69 \| good	31.692 \| good	0.246 \| good	3.171 \| good	0.137 \| good
2026-10-08T23:00:00.000Z	29 \| good	3.514 \| good	6.195 \| good	31.405 \| good	0.213 \| good	2.638 \| good	0.135 \| good
2026-10-09T00:00:00.000Z	29 \| good	3.709 \| good	5.894 \| good	30.572 \| good	0.208 \| good	2.787 \| good	0.131 \| good
2026-10-09T01:00:00.000Z	28 \| good	3.743 \| good	5.518 \| good	30.245 \| good	0.172 \| good	2.356 \| good	0.129 \| good
2026-10-09T02:00:00.000Z	29 \| good	3.021 \| good	4.875 \| good	30.792 \| good	0.125 \| good	1.611 \| good	0.128 \| good
2026-10-09T03:00:00.000Z	31 \| good	2.126 \| good	3.744 \| good	32.988 \| good	0.099 \| good	1.17 \| good	0.123 \| good

Walsall

Empower business decisions with accurate air quality data

Walsall, West Midlands air quality map: Real-time AQI near you

0.28ppm

How accurate is West Midlands, UK air quality data?

Air quality measurements for West Midlands, 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

Air quality levels in UK

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

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Frequently asked questions

How frequently is the air quality data for Walsall, West Midlands updated?

Air quality data for Walsall, West Midlands is updated on an hourly basis.

When did Walsall, West Midlands experience the worst air quality in the last 24 hours?

The worst air quality in Walsall, West Midlands was recorded at 02:00:00 on 2026-10-07.

When did Walsall, West Midlands have its best air quality in the last 24 hours?

The best air quality in Walsall, West Midlands was recorded at 06:00:00 on 2026-10-06.

What is the real-time air quality index for Walsall, West Midlands?

The real-time air quality index in Walsall, West Midlands is 27, currently categorized as Good.

Which pollutant is found most often in Walsall, West Midlands?

The most common pollutant in Walsall, West Midlands is PM2.5.

What can I do if the air quality in Walsall, West Midlands is poor?

If the air quality in Walsall, West Midlands is poor, limit outdoor activities and use a mask to safeguard your health.

What are the current PM_2.5 levels in Walsall, West Midlands?

The measured PM_2.5 levels in Walsall, West Midlands at present are 5.064 μg/m³.

What are the current PM₁₀ levels at Walsall, West Midlands?

The current PM₁₀ levels in Walsall, West Midlands are 12.013 μg/m³.

What are the current carbon monoxide (CO) levels at Walsall, West Midlands?

The current carbon monoxide (CO) level in Walsall, West Midlands is 0.285 ppm.

What are the current sulfur dioxide (SO₂) levels at Walsall, West Midlands?

The current sulfur dioxide (SO₂) levels in Walsall, West Midlands are 0.458 ppb.

What are the current ozone (O₃) levels at Walsall, West Midlands?

The current ozone (O₃) levels at Walsall, West Midlands is 9.394 ppm.

What are the current nitrogen dioxide (NO₂) levels at Walsall, West Midlands?

The current nitrogen dioxide (NO₂) levels at Walsall, West Midlands is 4.44 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-10-05T08:00:00.000Z	19 \| good	2.851 \| good	7.695 \| good	21.248 \| good	0.449 \| good	9.24 \| good	0.084 \| good
2026-10-05T09:00:00.000Z	19 \| good	2.764 \| good	6.952 \| good	20.962 \| good	0.482 \| good	11.393 \| good	0.098 \| good
2026-10-05T10:00:00.000Z	19 \| good	2.07 \| good	4.795 \| good	20.871 \| good	0.516 \| good	6.988 \| good	0.085 \| good
2026-10-05T11:00:00.000Z	19 \| good	2.024 \| good	5.152 \| good	20.627 \| good	0.45 \| good	4.61 \| good	0.079 \| good
2026-10-05T12:00:00.000Z	19 \| good	1.906 \| good	5.432 \| good	20.407 \| good	0.493 \| good	4.271 \| good	0.076 \| good
2026-10-05T13:00:00.000Z	19 \| good	1.854 \| good	5.402 \| good	20.431 \| good	0.418 \| good	4.662 \| good	0.053 \| good
2026-10-05T14:00:00.000Z	19 \| good	1.783 \| good	5.273 \| good	20.98 \| good	0.417 \| good	4.674 \| good	0.052 \| good
2026-10-05T15:00:00.000Z	20 \| good	1.716 \| good	5.084 \| good	21.598 \| good	0.417 \| good	5.51 \| good	0.048 \| good
2026-10-05T16:00:00.000Z	21 \| good	1.735 \| good	5.451 \| good	22.602 \| good	0.443 \| good	5.442 \| good	0.056 \| good
2026-10-05T17:00:00.000Z	22 \| good	1.717 \| good	4.862 \| good	23.713 \| good	0.443 \| good	7.005 \| good	0.048 \| good
2026-10-05T18:00:00.000Z	22 \| good	1.758 \| good	5.213 \| good	23.786 \| good	0.443 \| good	6.049 \| good	0.084 \| good
2026-10-05T19:00:00.000Z	22 \| good	1.48 \| good	3.83 \| good	23.724 \| good	0.451 \| good	6.707 \| good	0.082 \| good
2026-10-05T20:00:00.000Z	21 \| good	1.132 \| good	3.645 \| good	23.498 \| good	0.414 \| good	7.008 \| good	0.101 \| good
2026-10-05T21:00:00.000Z	20 \| good	1.141 \| good	3.923 \| good	22.336 \| good	0.448 \| good	8.199 \| good	0.103 \| good
2026-10-05T22:00:00.000Z	19 \| good	1.093 \| good	3.919 \| good	20.85 \| good	0.449 \| good	8.31 \| good	0.11 \| good
2026-10-05T23:00:00.000Z	19 \| good	1.115 \| good	3.95 \| good	19.568 \| good	0.426 \| good	8.009 \| good	0.111 \| good
2026-10-06T00:00:00.000Z	17 \| good	1.16 \| good	4.002 \| good	18.005 \| good	0.461 \| good	6.098 \| good	0.389 \| good
2026-10-06T01:00:00.000Z	16 \| good	1.08 \| good	4.031 \| good	17.185 \| good	0.457 \| good	4.295 \| good	0.33 \| good
2026-10-06T02:00:00.000Z	15 \| good	1.024 \| good	3.7 \| good	16.023 \| good	0.447 \| good	3.997 \| good	0.338 \| good
2026-10-06T03:00:00.000Z	13 \| good	1.048 \| good	3.528 \| good	14.363 \| good	0.416 \| good	4.592 \| good	0.289 \| good
2026-10-06T04:00:00.000Z	12 \| good	1.019 \| good	3.633 \| good	13.111 \| good	0.382 \| good	4.898 \| good	0.285 \| good
2026-10-06T05:00:00.000Z	11 \| good	1.026 \| good	3.812 \| good	11.75 \| good	0.416 \| good	4.036 \| good	0.298 \| good
2026-10-06T06:00:00.000Z	10 \| good	1.392 \| good	3.873 \| good	11.094 \| good	0.418 \| good	5.237 \| good	0.312 \| good
2026-10-06T07:00:00.000Z	11 \| good	1.823 \| good	5.717 \| good	9.977 \| good	0.468 \| good	8.147 \| good	0.42 \| good
2026-10-06T08:00:00.000Z	12 \| good	2.022 \| good	5.681 \| good	8.298 \| good	0.382 \| good	13.415 \| good	0.395 \| good
2026-10-06T09:00:00.000Z	14 \| good	2.232 \| good	6.078 \| good	6.518 \| good	0.491 \| good	14.704 \| good	0.362 \| good
2026-10-06T10:00:00.000Z	11 \| good	2.498 \| good	5.966 \| good	4.677 \| good	0.514 \| good	12.371 \| good	0.343 \| good
2026-10-06T11:00:00.000Z	11 \| good	2.282 \| good	5.754 \| good	6.034 \| good	0.583 \| good	8.253 \| good	0.284 \| good
2026-10-06T12:00:00.000Z	16 \| good	2.635 \| good	7.701 \| good	7.226 \| good	0.567 \| good	6.877 \| good	0.221 \| good
2026-10-06T13:00:00.000Z	16 \| good	3.14 \| good	8.361 \| good	9.202 \| good	0.483 \| good	5.092 \| good	0.189 \| good
2026-10-06T14:00:00.000Z	16 \| good	3.115 \| good	8.566 \| good	11.452 \| good	0.484 \| good	5.285 \| good	0.183 \| good
2026-10-06T15:00:00.000Z	16 \| good	3.134 \| good	7.814 \| good	14.017 \| good	0.717 \| good	8.771 \| good	0.193 \| good
2026-10-06T16:00:00.000Z	16 \| good	3.052 \| good	7.223 \| good	17.128 \| good	0.846 \| good	7.499 \| good	0.222 \| good
2026-10-06T17:00:00.000Z	19 \| good	3.022 \| good	8.382 \| good	19.529 \| good	0.498 \| good	7.954 \| good	0.209 \| good
2026-10-06T18:00:00.000Z	19 \| good	3.144 \| good	9.055 \| good	20.687 \| good	0.469 \| good	9.991 \| good	0.397 \| good
2026-10-06T19:00:00.000Z	19 \| good	3.165 \| good	7.808 \| good	20.819 \| good	0.648 \| good	14.411 \| good	0.513 \| good
2026-10-06T20:00:00.000Z	22 \| good	3.635 \| good	8.318 \| good	20.046 \| good	0.561 \| good	18.187 \| good	0.506 \| good
2026-10-06T21:00:00.000Z	17 \| good	3.309 \| good	8.677 \| good	18.284 \| good	0.506 \| good	18.216 \| good	0.492 \| good
2026-10-06T22:00:00.000Z	22 \| good	3.775 \| good	9.422 \| good	14.418 \| good	0.718 \| good	14.918 \| good	0.459 \| good
2026-10-06T23:00:00.000Z	22 \| good	4.316 \| good	9.55 \| good	12.992 \| good	0.462 \| good	9.017 \| good	0.437 \| good
2026-10-07T00:00:00.000Z	22 \| good	4.03 \| good	12.747 \| good	11.477 \| good	0.428 \| good	8.087 \| good	0.374 \| good
2026-10-07T01:00:00.000Z	27 \| good	4.788 \| good	11.54 \| good	10.506 \| good	0.451 \| good	6.106 \| good	0.379 \| good
2026-10-07T02:00:00.000Z	27 \| good	5.064 \| good	12.013 \| good	9.394 \| good	0.458 \| good	4.44 \| good	0.285 \| good
2026-10-07T03:00:00.000Z	27 \| good	5.139 \| good	12.529 \| good	10.535 \| good	0.454 \| good	3.303 \| good	0.27 \| good
2026-10-07T04:00:00.000Z	33 \| good	6.061 \| good	13.011 \| good	12.012 \| good	0.485 \| good	4.411 \| good	0.266 \| good
2026-10-07T05:00:00.000Z	33 \| good	5.906 \| good	12.474 \| good	14.245 \| good	0.451 \| good	3.214 \| good	0.277 \| good
2026-10-07T06:00:00.000Z	33 \| good	6.21 \| good	14.242 \| good	14.632 \| good	0.496 \| good	4.303 \| good	0.282 \| good
2026-10-07T07:00:00.000Z	33 \| good	6.21 \| good	14.242 \| good	14.632 \| good	0.496 \| good	4.303 \| good	0.282 \| good
2026-10-07T04:00:00.000Z	44 \| good	7.807 \| good	10.018 \| good	14.406 \| good	0.275 \| good	8.912 \| good	0.155 \| good
2026-10-07T05:00:00.000Z	38 \| good	7.399 \| good	9.729 \| good	13.188 \| good	0.288 \| good	9.189 \| good	0.154 \| good
2026-10-07T06:00:00.000Z	38 \| good	6.635 \| good	8.452 \| good	14.902 \| good	0.326 \| good	9.722 \| good	0.152 \| good
2026-10-07T07:00:00.000Z	33 \| good	6.003 \| good	7.245 \| good	16.403 \| good	0.358 \| good	8.125 \| good	0.151 \| good
2026-10-07T08:00:00.000Z	27 \| good	4.621 \| good	6.426 \| good	20.16 \| good	0.349 \| good	7.352 \| good	0.149 \| good
2026-10-07T09:00:00.000Z	22 \| good	4.042 \| good	6.45 \| good	22.961 \| good	0.317 \| good	7.148 \| good	0.149 \| good
2026-10-07T10:00:00.000Z	22 \| good	4.13 \| good	6.595 \| good	23.382 \| good	0.317 \| good	6.764 \| good	0.153 \| good
2026-10-07T11:00:00.000Z	24 \| good	3.741 \| good	6.317 \| good	25.658 \| good	0.299 \| good	6.437 \| good	0.153 \| good
2026-10-07T12:00:00.000Z	24 \| good	3.784 \| good	7.301 \| good	26.465 \| good	0.276 \| good	5.801 \| good	0.15 \| good
2026-10-07T13:00:00.000Z	29 \| good	2.737 \| good	7.475 \| good	31.143 \| good	0.256 \| good	3.861 \| good	0.143 \| good
2026-10-07T14:00:00.000Z	31 \| good	3.017 \| good	6.099 \| good	32.951 \| good	0.219 \| good	2.822 \| good	0.141 \| good
2026-10-07T15:00:00.000Z	31 \| good	3.19 \| good	6.396 \| good	33.478 \| good	0.182 \| good	2.596 \| good	0.142 \| good
2026-10-07T16:00:00.000Z	31 \| good	3.293 \| good	6.384 \| good	32.906 \| good	0.208 \| good	2.998 \| good	0.145 \| good
2026-10-07T17:00:00.000Z	31 \| good	3.492 \| good	7.19 \| good	32.891 \| good	0.222 \| good	4.092 \| good	0.147 \| good
2026-10-07T18:00:00.000Z	30 \| good	4.109 \| good	8.172 \| good	31.68 \| good	0.269 \| good	5.119 \| good	0.147 \| good
2026-10-07T19:00:00.000Z	30 \| good	4.567 \| good	9.342 \| good	32.157 \| good	0.303 \| good	5.082 \| good	0.146 \| good
2026-10-07T20:00:00.000Z	30 \| good	4.925 \| good	9.352 \| good	32.289 \| good	0.332 \| good	4.56 \| good	0.145 \| good
2026-10-07T21:00:00.000Z	31 \| good	4.965 \| good	9.477 \| good	33.239 \| good	0.312 \| good	4.36 \| good	0.143 \| good
2026-10-07T22:00:00.000Z	30 \| good	4.811 \| good	9.663 \| good	32.105 \| good	0.281 \| good	4.191 \| good	0.14 \| good
2026-10-07T23:00:00.000Z	29 \| good	4.499 \| good	10.27 \| good	30.549 \| good	0.239 \| good	3.591 \| good	0.138 \| good
2026-10-08T00:00:00.000Z	29 \| good	4.39 \| good	10.668 \| good	31.224 \| good	0.214 \| good	3.282 \| good	0.138 \| good
2026-10-08T01:00:00.000Z	29 \| good	4.323 \| good	9.437 \| good	31.485 \| good	0.217 \| good	2.861 \| good	0.138 \| good
2026-10-08T02:00:00.000Z	29 \| good	4.35 \| good	8.593 \| good	30.919 \| good	0.223 \| good	2.844 \| good	0.139 \| good
2026-10-08T03:00:00.000Z	27 \| good	4.248 \| good	8.407 \| good	29.187 \| good	0.229 \| good	2.905 \| good	0.138 \| good
2026-10-08T04:00:00.000Z	25 \| good	3.886 \| good	8.166 \| good	26.694 \| good	0.237 \| good	3.006 \| good	0.14 \| good
2026-10-08T05:00:00.000Z	23 \| good	3.524 \| good	7.942 \| good	24.729 \| good	0.26 \| good	3.426 \| good	0.141 \| good
2026-10-08T06:00:00.000Z	22 \| good	3.534 \| good	8.074 \| good	21.838 \| good	0.305 \| good	4.826 \| good	0.146 \| good
2026-10-08T07:00:00.000Z	22 \| good	3.676 \| good	7.829 \| good	20.438 \| good	0.381 \| good	6.804 \| good	0.153 \| good
2026-10-08T08:00:00.000Z	22 \| good	3.804 \| good	8.222 \| good	22.969 \| good	0.388 \| good	5.735 \| good	0.154 \| good
2026-10-08T09:00:00.000Z	25 \| good	2.912 \| good	7.249 \| good	26.666 \| good	0.34 \| good	4.152 \| good	0.15 \| good
2026-10-08T10:00:00.000Z	28 \| good	2.606 \| good	6.646 \| good	30.035 \| good	0.281 \| good	3.104 \| good	0.148 \| good
2026-10-08T11:00:00.000Z	31 \| good	2.512 \| good	6.361 \| good	33.006 \| good	0.247 \| good	2.58 \| good	0.145 \| good
2026-10-08T12:00:00.000Z	31 \| good	2.48 \| good	6.455 \| good	34.33 \| good	0.221 \| good	2.275 \| good	0.143 \| good
2026-10-08T13:00:00.000Z	32 \| good	2.51 \| good	6.143 \| good	34.782 \| good	0.196 \| good	2.036 \| good	0.141 \| good
2026-10-08T14:00:00.000Z	32 \| good	2.611 \| good	5.837 \| good	35.129 \| good	0.172 \| good	1.864 \| good	0.139 \| good
2026-10-08T15:00:00.000Z	31 \| good	2.725 \| good	6.405 \| good	34.455 \| good	0.16 \| good	1.954 \| good	0.138 \| good
2026-10-08T16:00:00.000Z	31 \| good	2.843 \| good	6.808 \| good	33.434 \| good	0.182 \| good	2.718 \| good	0.142 \| good
2026-10-08T17:00:00.000Z	29 \| good	2.962 \| good	6.928 \| good	31.331 \| good	0.239 \| good	4.177 \| good	0.146 \| good
2026-10-08T18:00:00.000Z	26 \| good	3.576 \| good	8.091 \| good	27.768 \| good	0.319 \| good	6.201 \| good	0.149 \| good
2026-10-08T19:00:00.000Z	25 \| good	4.097 \| good	8.256 \| good	26.612 \| good	0.369 \| good	6.624 \| good	0.146 \| good
2026-10-08T20:00:00.000Z	27 \| good	3.776 \| good	7.353 \| good	28.532 \| good	0.331 \| good	4.772 \| good	0.143 \| good
2026-10-08T21:00:00.000Z	28 \| good	3.296 \| good	7.19 \| good	30.254 \| good	0.285 \| good	3.885 \| good	0.14 \| good
2026-10-08T22:00:00.000Z	30 \| good	3.486 \| good	6.69 \| good	31.692 \| good	0.246 \| good	3.171 \| good	0.137 \| good
2026-10-08T23:00:00.000Z	29 \| good	3.514 \| good	6.195 \| good	31.405 \| good	0.213 \| good	2.638 \| good	0.135 \| good
2026-10-09T00:00:00.000Z	29 \| good	3.709 \| good	5.894 \| good	30.572 \| good	0.208 \| good	2.787 \| good	0.131 \| good
2026-10-09T01:00:00.000Z	28 \| good	3.743 \| good	5.518 \| good	30.245 \| good	0.172 \| good	2.356 \| good	0.129 \| good
2026-10-09T02:00:00.000Z	29 \| good	3.021 \| good	4.875 \| good	30.792 \| good	0.125 \| good	1.611 \| good	0.128 \| good
2026-10-09T03:00:00.000Z	31 \| good	2.126 \| good	3.744 \| good	32.988 \| good	0.099 \| good	1.17 \| good	0.123 \| good

Real-time air quality index in Walsall, West Midlands today

Common air pollutants in Walsall, West Midlands

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Walsall, West Midlands air quality forecast and history

Empower business decisions with accurate air quality data

Walsall, West Midlands air quality map: Real-time AQI near you

Air quality in nearby cities

Rushall, West Midlands

Bloxwich, West Midlands

Darlaston, West Midlands

Wednesbury, West Midlands

Willenhall, West Midlands

Pelsall, West Midlands

How accurate is West Midlands, UK air quality data?

Air quality levels in UK

Frequently asked questions

How frequently is the air quality data for Walsall, West Midlands updated?

When did Walsall, West Midlands experience the worst air quality in the last 24 hours?

When did Walsall, West Midlands have its best air quality in the last 24 hours?

What is the real-time air quality index for Walsall, West Midlands?

Which pollutant is found most often in Walsall, West Midlands?

What can I do if the air quality in Walsall, West Midlands is poor?

What are the current PM2.5 levels in Walsall, West Midlands?

What are the current PM10 levels at Walsall, West Midlands?

What are the current carbon monoxide (CO) levels at Walsall, West Midlands?

What are the current sulfur dioxide (SO2) levels at Walsall, West Midlands?

What are the current ozone (O3) levels at Walsall, West Midlands?

What are the current nitrogen dioxide (NO2) levels at Walsall, West Midlands?

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 Walsall, West Midlands?

What are the current PM₁₀ levels at Walsall, West Midlands?

What are the current sulfur dioxide (SO₂) levels at Walsall, West Midlands?

What are the current ozone (O₃) levels at Walsall, West Midlands?

What are the current nitrogen dioxide (NO₂) levels at Walsall, West Midlands?