What is the current level of PM10 in Darlaston, West Midlands?

Darlaston, West Midlands currently has a PM10 concentration of 14.026 μg/m3.

What is the current level of sulfur dioxide (SO2) in Darlaston, West Midlands?

The current sulfur dioxide (SO2) concentration in Darlaston, West Midlands is 0.503 ppb.

What is the current level of ozone (O3) in Darlaston, West Midlands?

Darlaston, West Midlands currently has an ozone (O3) concentration of 24.756 ppm.

What is the current level of nitrogen dioxide (NO2) in Darlaston, West Midlands?

The current level of nitrogen dioxide (NO2) in Darlaston, West Midlands is 23.408 ppb.

Current air quality index in Darlaston, West Midlands today

Q: What is the PM2.5 concentration in Darlaston, West Midlands right now?

Darlaston, West Midlands currently has a PM2.5 concentration of 4.978 μg/m3.

Stay updated with real-time air quality in Darlaston, 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

Darlaston, West Midlands

Last updated: ... (Local time)

Common air pollutants in Darlaston, West Midlands

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

4.98 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

14.03 μg/m³

155

255

425

605+

Ozone (O₃)

24.76 ppb

201

201+

Sulfur Dioxide (SO₂)

0.50 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

23.41 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.31 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Darlaston, West Midlands

Get Live Pollen Counts

Darlaston, West Midlands

Scroll To Air Quality Map

Track live Darlaston, West Midlands air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-09-26T23:00:00.000Z	33 \| good	5.505 \| good	14.044 \| good	26.168 \| good	0.492 \| good	18.702 \| good	0.297 \| good
2026-09-27T00:00:00.000Z	27 \| good	5.448 \| good	14.386 \| good	22.212 \| good	0.611 \| good	20.941 \| good	0.226 \| good
2026-09-27T01:00:00.000Z	27 \| good	5.493 \| good	12.975 \| good	20.877 \| good	0.613 \| good	21.754 \| good	0.229 \| good
2026-09-27T02:00:00.000Z	33 \| good	5.668 \| good	14.866 \| good	14.581 \| good	0.453 \| good	21.311 \| good	0.212 \| good
2026-09-27T03:00:00.000Z	33 \| good	5.652 \| good	12.175 \| good	13.325 \| good	0.439 \| good	14.352 \| good	0.217 \| good
2026-09-27T04:00:00.000Z	27 \| good	5.405 \| good	13.145 \| good	10.34 \| good	0.404 \| good	11.732 \| good	0.205 \| good
2026-09-27T05:00:00.000Z	33 \| good	5.514 \| good	13.048 \| good	10.689 \| good	0.404 \| good	8.198 \| good	0.047 \| good
2026-09-27T06:00:00.000Z	33 \| good	5.523 \| good	14.114 \| good	10.475 \| good	0.382 \| good	5.141 \| good	0.044 \| good
2026-09-27T07:00:00.000Z	33 \| good	5.536 \| good	12.289 \| good	12.945 \| good	0.413 \| good	4.185 \| good	0.045 \| good
2026-09-27T08:00:00.000Z	33 \| good	5.647 \| good	12.954 \| good	14.567 \| good	0.413 \| good	5.121 \| good	0.047 \| good
2026-09-27T09:00:00.000Z	27 \| good	5.495 \| good	13.019 \| good	16.599 \| good	0.621 \| good	6.218 \| good	0.046 \| good
2026-09-27T10:00:00.000Z	33 \| good	5.665 \| good	13.008 \| good	18.342 \| good	0.662 \| good	6.609 \| good	0.055 \| good
2026-09-27T11:00:00.000Z	33 \| good	6.147 \| good	15.074 \| good	20.629 \| good	0.684 \| good	5.962 \| good	0.045 \| good
2026-09-27T12:00:00.000Z	33 \| good	6.16 \| good	15.135 \| good	23.624 \| good	0.564 \| good	5.987 \| good	0.042 \| good
2026-09-27T13:00:00.000Z	38 \| good	6.696 \| good	15.127 \| good	24.541 \| good	0.752 \| good	5.859 \| good	0.04 \| good
2026-09-27T14:00:00.000Z	38 \| good	6.784 \| good	15.229 \| good	26.024 \| good	0.823 \| good	5.327 \| good	0.041 \| good
2026-09-27T15:00:00.000Z	38 \| good	6.754 \| good	15.764 \| good	27.877 \| good	0.823 \| good	4.716 \| good	0.043 \| good
2026-09-27T16:00:00.000Z	38 \| good	6.743 \| good	15.565 \| good	29.141 \| good	0.746 \| good	5.09 \| good	0.042 \| good
2026-09-27T17:00:00.000Z	38 \| good	6.808 \| good	14.912 \| good	30.275 \| good	0.686 \| good	5.294 \| good	0.042 \| good
2026-09-27T18:00:00.000Z	38 \| good	6.677 \| good	16.327 \| good	30.626 \| good	0.677 \| good	5.715 \| good	0.05 \| good
2026-09-27T19:00:00.000Z	38 \| good	6.68 \| good	16.242 \| good	32.665 \| good	0.677 \| good	6.661 \| good	0.059 \| good
2026-09-27T20:00:00.000Z	38 \| good	6.597 \| good	15.74 \| good	33.635 \| good	0.677 \| good	10.334 \| good	0.067 \| good
2026-09-27T21:00:00.000Z	33 \| good	6.229 \| good	15.001 \| good	33.462 \| good	0.447 \| good	10.677 \| good	0.082 \| good
2026-09-27T22:00:00.000Z	33 \| good	6.155 \| good	12.408 \| good	33.055 \| good	0.729 \| good	7.215 \| good	0.069 \| good
2026-09-27T23:00:00.000Z	33 \| good	6.013 \| good	13.963 \| good	30.968 \| good	0.658 \| good	7.469 \| good	0.075 \| good
2026-09-28T00:00:00.000Z	33 \| good	5.76 \| good	13.524 \| good	28.43 \| good	0.404 \| good	8.693 \| good	0.255 \| good
2026-09-28T01:00:00.000Z	33 \| good	5.785 \| good	12.686 \| good	27.359 \| good	0.413 \| good	6.974 \| good	0.18 \| good
2026-09-28T02:00:00.000Z	33 \| good	5.595 \| good	13.485 \| good	24.316 \| good	0.404 \| good	6.98 \| good	0.226 \| good
2026-09-28T03:00:00.000Z	27 \| good	5.149 \| good	13.138 \| good	21.869 \| good	0.478 \| good	5.762 \| good	0.214 \| good
2026-09-28T04:00:00.000Z	27 \| good	5.086 \| good	12.821 \| good	17.91 \| good	0.459 \| good	5.817 \| good	0.217 \| good
2026-09-28T05:00:00.000Z	27 \| good	4.731 \| good	11.522 \| good	16.845 \| good	0.414 \| good	6.823 \| good	0.197 \| good
2026-09-28T06:00:00.000Z	27 \| good	4.83 \| good	11.001 \| good	12.094 \| good	0.454 \| good	11.111 \| good	0.21 \| good
2026-09-28T07:00:00.000Z	27 \| good	4.683 \| good	12.521 \| good	8.898 \| good	0.756 \| good	16.317 \| good	0.279 \| good
2026-09-28T08:00:00.000Z	27 \| good	5.105 \| good	12.907 \| good	7.81 \| good	1.089 \| good	18.608 \| good	0.264 \| good
2026-09-28T09:00:00.000Z	27 \| good	4.977 \| good	12.298 \| good	4.787 \| good	1.251 \| good	20.913 \| good	0.235 \| good
2026-09-28T10:00:00.000Z	27 \| good	5.472 \| good	12.536 \| good	4.841 \| good	1.545 \| good	22.989 \| good	0.221 \| good
2026-09-28T11:00:00.000Z	27 \| good	4.681 \| good	11.628 \| good	4.439 \| good	1.683 \| good	20.429 \| good	0.212 \| good
2026-09-28T12:00:00.000Z	27 \| good	4.949 \| good	11.804 \| good	6.339 \| good	0.822 \| good	12.941 \| good	0.188 \| good
2026-09-28T13:00:00.000Z	22 \| good	4.202 \| good	11.679 \| good	7.992 \| good	0.732 \| good	8.43 \| good	0.165 \| good
2026-09-28T14:00:00.000Z	22 \| good	4.197 \| good	11.343 \| good	10.269 \| good	0.497 \| good	7.261 \| good	0.162 \| good
2026-09-28T15:00:00.000Z	22 \| good	4.12 \| good	11.146 \| good	15.087 \| good	0.656 \| good	7.691 \| good	0.156 \| good
2026-09-28T16:00:00.000Z	22 \| good	4.258 \| good	10.562 \| good	18.637 \| good	0.723 \| good	8.04 \| good	0.153 \| good
2026-09-28T17:00:00.000Z	22 \| good	4.258 \| good	9.671 \| good	21.349 \| good	0.614 \| good	11.209 \| good	0.169 \| good
2026-09-28T18:00:00.000Z	23 \| good	4.026 \| good	11.005 \| good	25.259 \| good	0.429 \| good	12.542 \| good	0.217 \| good
2026-09-28T19:00:00.000Z	25 \| good	4.236 \| good	11.263 \| good	26.82 \| good	0.437 \| good	13.989 \| good	0.253 \| good
2026-09-28T20:00:00.000Z	24 \| good	4.391 \| good	11.651 \| good	26.232 \| good	0.722 \| good	22.014 \| good	0.324 \| good
2026-09-28T21:00:00.000Z	27 \| good	4.991 \| good	14.018 \| good	24.831 \| good	0.498 \| good	24.127 \| good	0.312 \| good
2026-09-28T22:00:00.000Z	27 \| good	4.938 \| good	13.257 \| good	22.126 \| good	0.488 \| good	19.048 \| good	0.352 \| good
2026-09-28T22:00:00.000Z	27 \| good	4.978 \| good	14.026 \| good	24.756 \| good	0.503 \| good	23.408 \| good	0.312 \| good
2026-09-28T23:00:00.000Z	44 \| good	7.825 \| good	13.445 \| good	20.316 \| good	0.734 \| good	9.257 \| good	0.161 \| good
2026-09-29T00:00:00.000Z	44 \| good	7.714 \| good	12.106 \| good	21.649 \| good	0.625 \| good	7.759 \| good	0.155 \| good
2026-09-29T01:00:00.000Z	38 \| good	6.981 \| good	10.706 \| good	22.685 \| good	0.516 \| good	6.191 \| good	0.149 \| good
2026-09-29T02:00:00.000Z	33 \| good	6.021 \| good	9.55 \| good	23.388 \| good	0.438 \| good	4.904 \| good	0.143 \| good
2026-09-29T03:00:00.000Z	27 \| good	5.239 \| good	8.748 \| good	24.218 \| good	0.431 \| good	4.159 \| good	0.139 \| good
2026-09-29T04:00:00.000Z	27 \| good	4.614 \| good	8.153 \| good	25.133 \| good	0.458 \| good	3.85 \| good	0.137 \| good
2026-09-29T05:00:00.000Z	23 \| good	4.384 \| good	8.052 \| good	24.721 \| good	0.442 \| good	4.286 \| good	0.133 \| good
2026-09-29T06:00:00.000Z	27 \| good	4.647 \| good	8.516 \| good	23.086 \| good	0.439 \| good	5.637 \| good	0.133 \| good
2026-09-29T07:00:00.000Z	27 \| good	5.166 \| good	8.668 \| good	23.069 \| good	0.424 \| good	7.894 \| good	0.144 \| good
2026-09-29T08:00:00.000Z	33 \| good	5.506 \| good	8.395 \| good	22.309 \| good	0.379 \| good	8.502 \| good	0.146 \| good
2026-09-29T09:00:00.000Z	33 \| good	5.538 \| good	7.79 \| good	24.11 \| good	0.361 \| good	8.169 \| good	0.145 \| good
2026-09-29T10:00:00.000Z	27 \| good	4.558 \| good	7.771 \| good	23.694 \| good	0.355 \| good	6.53 \| good	0.142 \| good
2026-09-29T11:00:00.000Z	27 \| good	4.564 \| good	7.339 \| good	23.713 \| good	0.339 \| good	5.542 \| good	0.142 \| good
2026-09-29T12:00:00.000Z	27 \| good	4.916 \| good	7.729 \| good	28.183 \| good	0.313 \| good	4.981 \| good	0.141 \| good
2026-09-29T13:00:00.000Z	33 \| good	5.623 \| good	9.014 \| good	31.88 \| good	0.291 \| good	4.692 \| good	0.147 \| good
2026-09-29T14:00:00.000Z	35 \| good	6.274 \| good	10.612 \| good	37.912 \| good	0.331 \| good	4.453 \| good	0.149 \| good
2026-09-29T15:00:00.000Z	38 \| good	7.035 \| good	9.886 \| good	39.691 \| good	0.358 \| good	4.554 \| good	0.15 \| good
2026-09-29T16:00:00.000Z	39 \| good	7.132 \| good	10.437 \| good	42.065 \| good	0.385 \| good	4.871 \| good	0.152 \| good
2026-09-29T17:00:00.000Z	38 \| good	6.973 \| good	10.925 \| good	41.407 \| good	0.369 \| good	5.287 \| good	0.147 \| good
2026-09-29T18:00:00.000Z	38 \| good	7.131 \| good	11.782 \| good	40.285 \| good	0.367 \| good	6.029 \| good	0.15 \| good
2026-09-29T19:00:00.000Z	38 \| good	7.144 \| good	11.935 \| good	37.711 \| good	0.337 \| good	5.91 \| good	0.144 \| good
2026-09-29T20:00:00.000Z	38 \| good	6.994 \| good	11.181 \| good	37.001 \| good	0.306 \| good	5.363 \| good	0.138 \| good
2026-09-29T21:00:00.000Z	38 \| good	7.09 \| good	11.808 \| good	35.77 \| good	0.309 \| good	5.003 \| good	0.142 \| good
2026-09-29T22:00:00.000Z	38 \| good	7.306 \| good	11.323 \| good	35.723 \| good	0.318 \| good	4.93 \| good	0.142 \| good
2026-09-29T23:00:00.000Z	38 \| good	6.537 \| good	9.89 \| good	36.973 \| good	0.282 \| good	3.676 \| good	0.137 \| good
2026-09-30T00:00:00.000Z	34 \| good	6.007 \| good	9.886 \| good	37.103 \| good	0.241 \| good	2.974 \| good	0.131 \| good
2026-09-30T01:00:00.000Z	33 \| good	5.809 \| good	9.415 \| good	35.545 \| good	0.22 \| good	2.736 \| good	0.129 \| good
2026-09-30T02:00:00.000Z	32 \| good	5.31 \| good	9.664 \| good	34.965 \| good	0.232 \| good	2.629 \| good	0.126 \| good
2026-09-30T03:00:00.000Z	31 \| good	5.36 \| good	9.346 \| good	34.308 \| good	0.218 \| good	2.575 \| good	0.125 \| good
2026-09-30T04:00:00.000Z	33 \| good	5.541 \| good	8.881 \| good	33.814 \| good	0.192 \| good	2.377 \| good	0.124 \| good
2026-09-30T05:00:00.000Z	33 \| good	5.669 \| good	8.591 \| good	33.783 \| good	0.173 \| good	2.266 \| good	0.122 \| good
2026-09-30T06:00:00.000Z	33 \| good	5.652 \| good	7.974 \| good	33.183 \| good	0.175 \| good	2.743 \| good	0.122 \| good
2026-09-30T07:00:00.000Z	29 \| good	5.423 \| good	7.301 \| good	30.665 \| good	0.194 \| good	3.929 \| good	0.126 \| good
2026-09-30T08:00:00.000Z	28 \| good	4.593 \| good	6.259 \| good	29.662 \| good	0.175 \| good	4.387 \| good	0.126 \| good
2026-09-30T09:00:00.000Z	27 \| good	4.808 \| good	6.314 \| good	29.451 \| good	0.159 \| good	3.872 \| good	0.119 \| good
2026-09-30T10:00:00.000Z	28 \| good	4.77 \| good	7.725 \| good	29.634 \| good	0.156 \| good	2.784 \| good	0.114 \| good
2026-09-30T11:00:00.000Z	31 \| good	4.289 \| good	7.459 \| good	33.693 \| good	0.131 \| good	1.959 \| good	0.115 \| good
2026-09-30T12:00:00.000Z	32 \| good	4.353 \| good	9.25 \| good	34.7 \| good	0.133 \| good	1.622 \| good	0.118 \| good
2026-09-30T13:00:00.000Z	32 \| good	4.292 \| good	9.673 \| good	35.314 \| good	0.128 \| good	1.576 \| good	0.12 \| good
2026-09-30T14:00:00.000Z	33 \| good	4.302 \| good	10.15 \| good	35.871 \| good	0.127 \| good	1.6 \| good	0.123 \| good
2026-09-30T15:00:00.000Z	34 \| good	4.271 \| good	10.017 \| good	37.305 \| good	0.13 \| good	1.881 \| good	0.127 \| good
2026-09-30T16:00:00.000Z	36 \| good	4.342 \| good	10.648 \| good	39.077 \| good	0.137 \| good	2.3 \| good	0.131 \| good
2026-09-30T17:00:00.000Z	34 \| good	4.678 \| good	11.109 \| good	36.911 \| good	0.2 \| good	3.414 \| good	0.136 \| good
2026-09-30T18:00:00.000Z	32 \| good	5.051 \| good	11.615 \| good	35.175 \| good	0.231 \| good	4.285 \| good	0.141 \| good
2026-09-30T19:00:00.000Z	30 \| good	5.455 \| good	12.159 \| good	32.399 \| good	0.29 \| good	6.346 \| good	0.139 \| good
2026-09-30T20:00:00.000Z	33 \| good	5.515 \| good	12.436 \| good	29.405 \| good	0.335 \| good	6.703 \| good	0.135 \| good
2026-09-30T21:00:00.000Z	27 \| good	5.359 \| good	12.96 \| good	28.002 \| good	0.341 \| good	6.505 \| good	0.136 \| good
2026-09-30T22:00:00.000Z	33 \| good	5.581 \| good	13.645 \| good	26.207 \| good	0.351 \| good	6.419 \| good	0.136 \| good

Darlaston

Empower business decisions with accurate air quality data

Real-time air quality map: Monitor AQI near Darlaston, West Midlands

0.31ppm

How accurate is West Midlands, UK air quality data?

The air quality data for West Midlands, UK is gathered from reliable sources such as satellites and monitoring stations, adhering to US EPA guidelines. With the help of advanced algorithms and machine learning, factors like traffic and population density are analyzed to deliver accurate and dependable results.

Source: Ambee Data Sources

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Frequently asked questions

How frequently does the air quality data for Darlaston, West Midlands get updated?

Air quality updates for Darlaston, West Midlands are available every hour.

What time in the past 24 hours saw the poorest air quality in Darlaston, West Midlands?

Darlaston, West Midlands experienced its worst air quality at 02:00:00, 2026-09-28.

When was air quality in Darlaston, West Midlands the best over the past 24 hours?

The best air quality in Darlaston, West Midlands was observed at 05:00:00 on 2026-09-28.

What is the air quality in Darlaston, West Midlands right now?

The air quality in Darlaston, West Midlands right now is Good, with an AQI of 27.

What pollutant is most frequently found in Darlaston, West Midlands?

In Darlaston, West Midlands, PM2.5 is the most frequently found pollutant.

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

When air quality in Darlaston, West Midlands is compromised, staying indoors and wearing a mask can reduce health risks.

What is the PM_2.5 concentration in Darlaston, West Midlands right now?

Darlaston, West Midlands currently has a PM_2.5 concentration of 4.978 μg/m³.

What is the current level of PM₁₀ in Darlaston, West Midlands?

Darlaston, West Midlands currently has a PM₁₀ concentration of 14.026 μg/m³.

What is the current level of carbon monoxide (CO) in Darlaston, West Midlands?

The current carbon monoxide (CO) level in Darlaston, West Midlands is 0.312 ppm.

What is the current level of sulfur dioxide (SO₂) in Darlaston, West Midlands?

The current sulfur dioxide (SO₂) concentration in Darlaston, West Midlands is 0.503 ppb.

What is the current level of ozone (O₃) in Darlaston, West Midlands?

Darlaston, West Midlands currently has an ozone (O₃) concentration of 24.756 ppm.

What is the current level of nitrogen dioxide (NO₂) in Darlaston, West Midlands?

The current level of nitrogen dioxide (NO₂) in Darlaston, West Midlands is 23.408 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-09-26T23:00:00.000Z	33 \| good	5.505 \| good	14.044 \| good	26.168 \| good	0.492 \| good	18.702 \| good	0.297 \| good
2026-09-27T00:00:00.000Z	27 \| good	5.448 \| good	14.386 \| good	22.212 \| good	0.611 \| good	20.941 \| good	0.226 \| good
2026-09-27T01:00:00.000Z	27 \| good	5.493 \| good	12.975 \| good	20.877 \| good	0.613 \| good	21.754 \| good	0.229 \| good
2026-09-27T02:00:00.000Z	33 \| good	5.668 \| good	14.866 \| good	14.581 \| good	0.453 \| good	21.311 \| good	0.212 \| good
2026-09-27T03:00:00.000Z	33 \| good	5.652 \| good	12.175 \| good	13.325 \| good	0.439 \| good	14.352 \| good	0.217 \| good
2026-09-27T04:00:00.000Z	27 \| good	5.405 \| good	13.145 \| good	10.34 \| good	0.404 \| good	11.732 \| good	0.205 \| good
2026-09-27T05:00:00.000Z	33 \| good	5.514 \| good	13.048 \| good	10.689 \| good	0.404 \| good	8.198 \| good	0.047 \| good
2026-09-27T06:00:00.000Z	33 \| good	5.523 \| good	14.114 \| good	10.475 \| good	0.382 \| good	5.141 \| good	0.044 \| good
2026-09-27T07:00:00.000Z	33 \| good	5.536 \| good	12.289 \| good	12.945 \| good	0.413 \| good	4.185 \| good	0.045 \| good
2026-09-27T08:00:00.000Z	33 \| good	5.647 \| good	12.954 \| good	14.567 \| good	0.413 \| good	5.121 \| good	0.047 \| good
2026-09-27T09:00:00.000Z	27 \| good	5.495 \| good	13.019 \| good	16.599 \| good	0.621 \| good	6.218 \| good	0.046 \| good
2026-09-27T10:00:00.000Z	33 \| good	5.665 \| good	13.008 \| good	18.342 \| good	0.662 \| good	6.609 \| good	0.055 \| good
2026-09-27T11:00:00.000Z	33 \| good	6.147 \| good	15.074 \| good	20.629 \| good	0.684 \| good	5.962 \| good	0.045 \| good
2026-09-27T12:00:00.000Z	33 \| good	6.16 \| good	15.135 \| good	23.624 \| good	0.564 \| good	5.987 \| good	0.042 \| good
2026-09-27T13:00:00.000Z	38 \| good	6.696 \| good	15.127 \| good	24.541 \| good	0.752 \| good	5.859 \| good	0.04 \| good
2026-09-27T14:00:00.000Z	38 \| good	6.784 \| good	15.229 \| good	26.024 \| good	0.823 \| good	5.327 \| good	0.041 \| good
2026-09-27T15:00:00.000Z	38 \| good	6.754 \| good	15.764 \| good	27.877 \| good	0.823 \| good	4.716 \| good	0.043 \| good
2026-09-27T16:00:00.000Z	38 \| good	6.743 \| good	15.565 \| good	29.141 \| good	0.746 \| good	5.09 \| good	0.042 \| good
2026-09-27T17:00:00.000Z	38 \| good	6.808 \| good	14.912 \| good	30.275 \| good	0.686 \| good	5.294 \| good	0.042 \| good
2026-09-27T18:00:00.000Z	38 \| good	6.677 \| good	16.327 \| good	30.626 \| good	0.677 \| good	5.715 \| good	0.05 \| good
2026-09-27T19:00:00.000Z	38 \| good	6.68 \| good	16.242 \| good	32.665 \| good	0.677 \| good	6.661 \| good	0.059 \| good
2026-09-27T20:00:00.000Z	38 \| good	6.597 \| good	15.74 \| good	33.635 \| good	0.677 \| good	10.334 \| good	0.067 \| good
2026-09-27T21:00:00.000Z	33 \| good	6.229 \| good	15.001 \| good	33.462 \| good	0.447 \| good	10.677 \| good	0.082 \| good
2026-09-27T22:00:00.000Z	33 \| good	6.155 \| good	12.408 \| good	33.055 \| good	0.729 \| good	7.215 \| good	0.069 \| good
2026-09-27T23:00:00.000Z	33 \| good	6.013 \| good	13.963 \| good	30.968 \| good	0.658 \| good	7.469 \| good	0.075 \| good
2026-09-28T00:00:00.000Z	33 \| good	5.76 \| good	13.524 \| good	28.43 \| good	0.404 \| good	8.693 \| good	0.255 \| good
2026-09-28T01:00:00.000Z	33 \| good	5.785 \| good	12.686 \| good	27.359 \| good	0.413 \| good	6.974 \| good	0.18 \| good
2026-09-28T02:00:00.000Z	33 \| good	5.595 \| good	13.485 \| good	24.316 \| good	0.404 \| good	6.98 \| good	0.226 \| good
2026-09-28T03:00:00.000Z	27 \| good	5.149 \| good	13.138 \| good	21.869 \| good	0.478 \| good	5.762 \| good	0.214 \| good
2026-09-28T04:00:00.000Z	27 \| good	5.086 \| good	12.821 \| good	17.91 \| good	0.459 \| good	5.817 \| good	0.217 \| good
2026-09-28T05:00:00.000Z	27 \| good	4.731 \| good	11.522 \| good	16.845 \| good	0.414 \| good	6.823 \| good	0.197 \| good
2026-09-28T06:00:00.000Z	27 \| good	4.83 \| good	11.001 \| good	12.094 \| good	0.454 \| good	11.111 \| good	0.21 \| good
2026-09-28T07:00:00.000Z	27 \| good	4.683 \| good	12.521 \| good	8.898 \| good	0.756 \| good	16.317 \| good	0.279 \| good
2026-09-28T08:00:00.000Z	27 \| good	5.105 \| good	12.907 \| good	7.81 \| good	1.089 \| good	18.608 \| good	0.264 \| good
2026-09-28T09:00:00.000Z	27 \| good	4.977 \| good	12.298 \| good	4.787 \| good	1.251 \| good	20.913 \| good	0.235 \| good
2026-09-28T10:00:00.000Z	27 \| good	5.472 \| good	12.536 \| good	4.841 \| good	1.545 \| good	22.989 \| good	0.221 \| good
2026-09-28T11:00:00.000Z	27 \| good	4.681 \| good	11.628 \| good	4.439 \| good	1.683 \| good	20.429 \| good	0.212 \| good
2026-09-28T12:00:00.000Z	27 \| good	4.949 \| good	11.804 \| good	6.339 \| good	0.822 \| good	12.941 \| good	0.188 \| good
2026-09-28T13:00:00.000Z	22 \| good	4.202 \| good	11.679 \| good	7.992 \| good	0.732 \| good	8.43 \| good	0.165 \| good
2026-09-28T14:00:00.000Z	22 \| good	4.197 \| good	11.343 \| good	10.269 \| good	0.497 \| good	7.261 \| good	0.162 \| good
2026-09-28T15:00:00.000Z	22 \| good	4.12 \| good	11.146 \| good	15.087 \| good	0.656 \| good	7.691 \| good	0.156 \| good
2026-09-28T16:00:00.000Z	22 \| good	4.258 \| good	10.562 \| good	18.637 \| good	0.723 \| good	8.04 \| good	0.153 \| good
2026-09-28T17:00:00.000Z	22 \| good	4.258 \| good	9.671 \| good	21.349 \| good	0.614 \| good	11.209 \| good	0.169 \| good
2026-09-28T18:00:00.000Z	23 \| good	4.026 \| good	11.005 \| good	25.259 \| good	0.429 \| good	12.542 \| good	0.217 \| good
2026-09-28T19:00:00.000Z	25 \| good	4.236 \| good	11.263 \| good	26.82 \| good	0.437 \| good	13.989 \| good	0.253 \| good
2026-09-28T20:00:00.000Z	24 \| good	4.391 \| good	11.651 \| good	26.232 \| good	0.722 \| good	22.014 \| good	0.324 \| good
2026-09-28T21:00:00.000Z	27 \| good	4.991 \| good	14.018 \| good	24.831 \| good	0.498 \| good	24.127 \| good	0.312 \| good
2026-09-28T22:00:00.000Z	27 \| good	4.938 \| good	13.257 \| good	22.126 \| good	0.488 \| good	19.048 \| good	0.352 \| good
2026-09-28T22:00:00.000Z	27 \| good	4.978 \| good	14.026 \| good	24.756 \| good	0.503 \| good	23.408 \| good	0.312 \| good
2026-09-28T23:00:00.000Z	44 \| good	7.825 \| good	13.445 \| good	20.316 \| good	0.734 \| good	9.257 \| good	0.161 \| good
2026-09-29T00:00:00.000Z	44 \| good	7.714 \| good	12.106 \| good	21.649 \| good	0.625 \| good	7.759 \| good	0.155 \| good
2026-09-29T01:00:00.000Z	38 \| good	6.981 \| good	10.706 \| good	22.685 \| good	0.516 \| good	6.191 \| good	0.149 \| good
2026-09-29T02:00:00.000Z	33 \| good	6.021 \| good	9.55 \| good	23.388 \| good	0.438 \| good	4.904 \| good	0.143 \| good
2026-09-29T03:00:00.000Z	27 \| good	5.239 \| good	8.748 \| good	24.218 \| good	0.431 \| good	4.159 \| good	0.139 \| good
2026-09-29T04:00:00.000Z	27 \| good	4.614 \| good	8.153 \| good	25.133 \| good	0.458 \| good	3.85 \| good	0.137 \| good
2026-09-29T05:00:00.000Z	23 \| good	4.384 \| good	8.052 \| good	24.721 \| good	0.442 \| good	4.286 \| good	0.133 \| good
2026-09-29T06:00:00.000Z	27 \| good	4.647 \| good	8.516 \| good	23.086 \| good	0.439 \| good	5.637 \| good	0.133 \| good
2026-09-29T07:00:00.000Z	27 \| good	5.166 \| good	8.668 \| good	23.069 \| good	0.424 \| good	7.894 \| good	0.144 \| good
2026-09-29T08:00:00.000Z	33 \| good	5.506 \| good	8.395 \| good	22.309 \| good	0.379 \| good	8.502 \| good	0.146 \| good
2026-09-29T09:00:00.000Z	33 \| good	5.538 \| good	7.79 \| good	24.11 \| good	0.361 \| good	8.169 \| good	0.145 \| good
2026-09-29T10:00:00.000Z	27 \| good	4.558 \| good	7.771 \| good	23.694 \| good	0.355 \| good	6.53 \| good	0.142 \| good
2026-09-29T11:00:00.000Z	27 \| good	4.564 \| good	7.339 \| good	23.713 \| good	0.339 \| good	5.542 \| good	0.142 \| good
2026-09-29T12:00:00.000Z	27 \| good	4.916 \| good	7.729 \| good	28.183 \| good	0.313 \| good	4.981 \| good	0.141 \| good
2026-09-29T13:00:00.000Z	33 \| good	5.623 \| good	9.014 \| good	31.88 \| good	0.291 \| good	4.692 \| good	0.147 \| good
2026-09-29T14:00:00.000Z	35 \| good	6.274 \| good	10.612 \| good	37.912 \| good	0.331 \| good	4.453 \| good	0.149 \| good
2026-09-29T15:00:00.000Z	38 \| good	7.035 \| good	9.886 \| good	39.691 \| good	0.358 \| good	4.554 \| good	0.15 \| good
2026-09-29T16:00:00.000Z	39 \| good	7.132 \| good	10.437 \| good	42.065 \| good	0.385 \| good	4.871 \| good	0.152 \| good
2026-09-29T17:00:00.000Z	38 \| good	6.973 \| good	10.925 \| good	41.407 \| good	0.369 \| good	5.287 \| good	0.147 \| good
2026-09-29T18:00:00.000Z	38 \| good	7.131 \| good	11.782 \| good	40.285 \| good	0.367 \| good	6.029 \| good	0.15 \| good
2026-09-29T19:00:00.000Z	38 \| good	7.144 \| good	11.935 \| good	37.711 \| good	0.337 \| good	5.91 \| good	0.144 \| good
2026-09-29T20:00:00.000Z	38 \| good	6.994 \| good	11.181 \| good	37.001 \| good	0.306 \| good	5.363 \| good	0.138 \| good
2026-09-29T21:00:00.000Z	38 \| good	7.09 \| good	11.808 \| good	35.77 \| good	0.309 \| good	5.003 \| good	0.142 \| good
2026-09-29T22:00:00.000Z	38 \| good	7.306 \| good	11.323 \| good	35.723 \| good	0.318 \| good	4.93 \| good	0.142 \| good
2026-09-29T23:00:00.000Z	38 \| good	6.537 \| good	9.89 \| good	36.973 \| good	0.282 \| good	3.676 \| good	0.137 \| good
2026-09-30T00:00:00.000Z	34 \| good	6.007 \| good	9.886 \| good	37.103 \| good	0.241 \| good	2.974 \| good	0.131 \| good
2026-09-30T01:00:00.000Z	33 \| good	5.809 \| good	9.415 \| good	35.545 \| good	0.22 \| good	2.736 \| good	0.129 \| good
2026-09-30T02:00:00.000Z	32 \| good	5.31 \| good	9.664 \| good	34.965 \| good	0.232 \| good	2.629 \| good	0.126 \| good
2026-09-30T03:00:00.000Z	31 \| good	5.36 \| good	9.346 \| good	34.308 \| good	0.218 \| good	2.575 \| good	0.125 \| good
2026-09-30T04:00:00.000Z	33 \| good	5.541 \| good	8.881 \| good	33.814 \| good	0.192 \| good	2.377 \| good	0.124 \| good
2026-09-30T05:00:00.000Z	33 \| good	5.669 \| good	8.591 \| good	33.783 \| good	0.173 \| good	2.266 \| good	0.122 \| good
2026-09-30T06:00:00.000Z	33 \| good	5.652 \| good	7.974 \| good	33.183 \| good	0.175 \| good	2.743 \| good	0.122 \| good
2026-09-30T07:00:00.000Z	29 \| good	5.423 \| good	7.301 \| good	30.665 \| good	0.194 \| good	3.929 \| good	0.126 \| good
2026-09-30T08:00:00.000Z	28 \| good	4.593 \| good	6.259 \| good	29.662 \| good	0.175 \| good	4.387 \| good	0.126 \| good
2026-09-30T09:00:00.000Z	27 \| good	4.808 \| good	6.314 \| good	29.451 \| good	0.159 \| good	3.872 \| good	0.119 \| good
2026-09-30T10:00:00.000Z	28 \| good	4.77 \| good	7.725 \| good	29.634 \| good	0.156 \| good	2.784 \| good	0.114 \| good
2026-09-30T11:00:00.000Z	31 \| good	4.289 \| good	7.459 \| good	33.693 \| good	0.131 \| good	1.959 \| good	0.115 \| good
2026-09-30T12:00:00.000Z	32 \| good	4.353 \| good	9.25 \| good	34.7 \| good	0.133 \| good	1.622 \| good	0.118 \| good
2026-09-30T13:00:00.000Z	32 \| good	4.292 \| good	9.673 \| good	35.314 \| good	0.128 \| good	1.576 \| good	0.12 \| good
2026-09-30T14:00:00.000Z	33 \| good	4.302 \| good	10.15 \| good	35.871 \| good	0.127 \| good	1.6 \| good	0.123 \| good
2026-09-30T15:00:00.000Z	34 \| good	4.271 \| good	10.017 \| good	37.305 \| good	0.13 \| good	1.881 \| good	0.127 \| good
2026-09-30T16:00:00.000Z	36 \| good	4.342 \| good	10.648 \| good	39.077 \| good	0.137 \| good	2.3 \| good	0.131 \| good
2026-09-30T17:00:00.000Z	34 \| good	4.678 \| good	11.109 \| good	36.911 \| good	0.2 \| good	3.414 \| good	0.136 \| good
2026-09-30T18:00:00.000Z	32 \| good	5.051 \| good	11.615 \| good	35.175 \| good	0.231 \| good	4.285 \| good	0.141 \| good
2026-09-30T19:00:00.000Z	30 \| good	5.455 \| good	12.159 \| good	32.399 \| good	0.29 \| good	6.346 \| good	0.139 \| good
2026-09-30T20:00:00.000Z	33 \| good	5.515 \| good	12.436 \| good	29.405 \| good	0.335 \| good	6.703 \| good	0.135 \| good
2026-09-30T21:00:00.000Z	27 \| good	5.359 \| good	12.96 \| good	28.002 \| good	0.341 \| good	6.505 \| good	0.136 \| good
2026-09-30T22:00:00.000Z	33 \| good	5.581 \| good	13.645 \| good	26.207 \| good	0.351 \| good	6.419 \| good	0.136 \| good

Current air quality index in Darlaston, West Midlands today

Common air pollutants in Darlaston, West Midlands

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Darlaston, West Midlands air quality forecast and history

Empower business decisions with accurate air quality data

Real-time air quality map: Monitor AQI near Darlaston, West Midlands

Air quality in nearby cities

Wednesbury, West Midlands

Willenhall, West Midlands

Bilston, West Midlands

Walsall, West Midlands

Coseley, West Midlands

Tipton, West Midlands

How accurate is West Midlands, UK air quality data?

Air quality levels in UK

Frequently asked questions

How frequently does the air quality data for Darlaston, West Midlands get updated?

What time in the past 24 hours saw the poorest air quality in Darlaston, West Midlands?

When was air quality in Darlaston, West Midlands the best over the past 24 hours?

What is the air quality in Darlaston, West Midlands right now?

What pollutant is most frequently found in Darlaston, West Midlands?

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

What is the PM2.5 concentration in Darlaston, West Midlands right now?

What is the current level of PM10 in Darlaston, West Midlands?

What is the current level of carbon monoxide (CO) in Darlaston, West Midlands?

What is the current level of sulfur dioxide (SO2) in Darlaston, West Midlands?

What is the current level of ozone (O3) in Darlaston, West Midlands?

What is the current level of nitrogen dioxide (NO2) in Darlaston, West Midlands?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What is the PM_2.5 concentration in Darlaston, West Midlands right now?

What is the current level of PM₁₀ in Darlaston, West Midlands?

What is the current level of sulfur dioxide (SO₂) in Darlaston, West Midlands?

What is the current level of ozone (O₃) in Darlaston, West Midlands?

What is the current level of nitrogen dioxide (NO₂) in Darlaston, West Midlands?