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

The current PM10 levels in Halesowen, West Midlands are 3.363 μg/m3.

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

The current sulfur dioxide (SO2) levels in Halesowen, West Midlands are 0.71 ppb.

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

The current ozone (O3) levels at Halesowen, West Midlands is 21.73 ppm.

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

The current nitrogen dioxide (NO2) levels at Halesowen, West Midlands is 7.883 ppb.

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

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

The measured PM2.5 levels in Halesowen, West Midlands at present are 2.403 μg/m3.

Stay updated with real-time air quality in Halesowen, 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

Halesowen, West Midlands

Last updated: ... (Local time)

Common air pollutants in Halesowen, West Midlands

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

2.51 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

3.43 μg/m³

155

255

425

605+

Ozone (O₃)

20.96 ppb

201

201+

Sulfur Dioxide (SO₂)

0.70 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

8.40 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.17 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

Halesowen, West Midlands

Get Live Pollen Counts

Halesowen, West Midlands

Scroll To Air Quality Map

Track live Halesowen, West Midlands air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-11-13T20:00:00.000Z	38 \| good	7.265 \| good	15.731 \| good	16.979 \| good	1.328 \| good	37.354 \| good	0.278 \| good
2025-11-13T21:00:00.000Z	38 \| good	7.167 \| good	14.714 \| good	13.858 \| good	1.329 \| good	37.05 \| good	0.191 \| good
2025-11-13T22:00:00.000Z	38 \| good	7.262 \| good	17.323 \| good	12.873 \| good	1.018 \| good	33.027 \| good	0.182 \| good
2025-11-13T23:00:00.000Z	44 \| good	7.782 \| good	14.237 \| good	7.924 \| good	0.812 \| good	26.366 \| good	0.09 \| good
2025-11-14T00:00:00.000Z	44 \| good	8.37 \| good	17.554 \| good	8.273 \| good	0.757 \| good	19.5 \| good	0.664 \| good
2025-11-14T01:00:00.000Z	44 \| good	8.141 \| good	16.278 \| good	5.872 \| good	0.699 \| good	10.025 \| good	1.129 \| good
2025-11-14T02:00:00.000Z	44 \| good	7.926 \| good	16.286 \| good	5.897 \| good	0.705 \| good	10.025 \| good	0.88 \| good
2025-11-14T03:00:00.000Z	44 \| good	8.397 \| good	15.445 \| good	7.919 \| good	0.739 \| good	5.109 \| good	0.81 \| good
2025-11-14T04:00:00.000Z	49 \| good	9.175 \| good	15.863 \| good	11.42 \| good	0.701 \| good	5.008 \| good	0.812 \| good
2025-11-14T05:00:00.000Z	49 \| good	9.201 \| good	16.325 \| good	13.506 \| good	0.675 \| good	4.264 \| good	0.981 \| good
2025-11-14T06:00:00.000Z	49 \| good	9.252 \| good	16.484 \| good	16.017 \| good	0.737 \| good	3.887 \| good	0.09 \| good
2025-11-14T07:00:00.000Z	49 \| good	9.113 \| good	16.673 \| good	19.69 \| good	0.681 \| good	4.318 \| good	0.084 \| good
2025-11-14T08:00:00.000Z	49 \| good	9.066 \| good	15.967 \| good	21.818 \| good	0.68 \| good	5.854 \| good	0.065 \| good
2025-11-14T09:00:00.000Z	49 \| good	9.202 \| good	16.599 \| good	23.285 \| good	0.706 \| good	7.627 \| good	0.538 \| good
2025-11-14T10:00:00.000Z	49 \| good	9.193 \| good	16.779 \| good	25.147 \| good	0.711 \| good	7.882 \| good	0.051 \| good
2025-11-14T11:00:00.000Z	49 \| good	8.634 \| good	16.32 \| good	26.524 \| good	0.743 \| good	6.937 \| good	0.04 \| good
2025-11-14T12:00:00.000Z	49 \| good	8.541 \| good	15.645 \| good	28.643 \| good	0.763 \| good	5.902 \| good	0.034 \| good
2025-11-14T13:00:00.000Z	44 \| good	8.415 \| good	15.305 \| good	30.103 \| good	0.717 \| good	5.676 \| good	0.033 \| good
2025-11-14T14:00:00.000Z	44 \| good	8.406 \| good	15.256 \| good	31.472 \| good	0.743 \| good	5.159 \| good	0.037 \| good
2025-11-14T15:00:00.000Z	44 \| good	8.406 \| good	14.563 \| good	32.496 \| good	0.736 \| good	5.276 \| good	0.048 \| good
2025-11-14T16:00:00.000Z	44 \| good	7.668 \| good	14.47 \| good	32.855 \| good	0.71 \| good	4.889 \| good	0.068 \| good
2025-11-14T17:00:00.000Z	44 \| good	7.548 \| good	13.633 \| good	33.144 \| good	0.69 \| good	5.232 \| good	0.137 \| good
2025-11-14T18:00:00.000Z	38 \| good	7.4 \| good	12.429 \| good	33.846 \| good	0.68 \| good	5.123 \| good	0.165 \| good
2025-11-14T19:00:00.000Z	38 \| good	6.815 \| good	11.624 \| good	33.957 \| good	0.705 \| good	4.853 \| good	0.214 \| good
2025-11-14T20:00:00.000Z	33 \| good	5.983 \| good	10.715 \| good	34.167 \| good	0.711 \| good	4.367 \| good	0.235 \| good
2025-11-14T21:00:00.000Z	32 \| good	5.214 \| good	8.826 \| good	34.712 \| good	0.68 \| good	3.747 \| good	0.229 \| good
2025-11-14T22:00:00.000Z	32 \| good	4.831 \| good	7.808 \| good	34.966 \| good	0.681 \| good	3.69 \| good	0.157 \| good
2025-11-14T23:00:00.000Z	32 \| good	4.129 \| good	6.945 \| good	35.331 \| good	0.684 \| good	3.231 \| good	0.1 \| good
2025-11-15T00:00:00.000Z	33 \| good	3.825 \| good	6.977 \| good	35.779 \| good	0.71 \| good	3.984 \| good	0.929 \| good
2025-11-15T01:00:00.000Z	33 \| good	3.421 \| good	5.8 \| good	35.897 \| good	0.689 \| good	3.076 \| good	1.206 \| good
2025-11-15T02:00:00.000Z	33 \| good	3.413 \| good	5.444 \| good	36.206 \| good	0.689 \| good	1.96 \| good	0.962 \| good
2025-11-15T03:00:00.000Z	33 \| good	2.446 \| good	4.158 \| good	36.312 \| good	0.71 \| good	1.978 \| good	0.709 \| good
2025-11-15T04:00:00.000Z	33 \| good	2.43 \| good	4.258 \| good	36.2 \| good	0.736 \| good	1.631 \| good	0.561 \| good
2025-11-15T05:00:00.000Z	33 \| good	2.085 \| good	3.385 \| good	35.658 \| good	0.413 \| good	1.594 \| good	0.62 \| good
2025-11-15T06:00:00.000Z	33 \| good	1.542 \| good	3.306 \| good	35.516 \| good	0.68 \| good	1.874 \| good	0.093 \| good
2025-11-15T07:00:00.000Z	32 \| good	1.556 \| good	3.288 \| good	34.824 \| good	0.686 \| good	3.088 \| good	0.096 \| good
2025-11-15T08:00:00.000Z	31 \| good	1.545 \| good	3.125 \| good	33.77 \| good	0.68 \| good	4.005 \| good	0.103 \| good
2025-11-15T09:00:00.000Z	30 \| good	1.555 \| good	3.196 \| good	32.35 \| good	0.676 \| good	6.098 \| good	0.09 \| good
2025-11-15T10:00:00.000Z	29 \| good	1.58 \| good	3.147 \| good	30.789 \| good	0.417 \| good	7.2 \| good	0.08 \| good
2025-11-15T11:00:00.000Z	26 \| good	1.591 \| good	3.298 \| good	27.877 \| good	0.442 \| good	7.24 \| good	0.064 \| good
2025-11-15T12:00:00.000Z	24 \| good	1.681 \| good	3.807 \| good	25.802 \| good	0.424 \| good	7.24 \| good	0.051 \| good
2025-11-15T13:00:00.000Z	24 \| good	1.759 \| good	3.551 \| good	25.537 \| good	0.669 \| good	6.63 \| good	0.04 \| good
2025-11-15T14:00:00.000Z	22 \| good	1.79 \| good	3.351 \| good	24.09 \| good	0.701 \| good	7.204 \| good	0.041 \| good
2025-11-15T15:00:00.000Z	20 \| good	2.341 \| good	3.485 \| good	22.48 \| good	0.725 \| good	7.324 \| good	0.041 \| good
2025-11-15T16:00:00.000Z	20 \| good	2.403 \| good	3.363 \| good	21.73 \| good	0.71 \| good	7.883 \| good	0.086 \| good
2025-11-15T17:00:00.000Z	19 \| good	2.429 \| good	3.468 \| good	20.754 \| good	0.699 \| good	8.491 \| good	0.143 \| good
2025-11-15T18:00:00.000Z	19 \| good	2.508 \| good	3.432 \| good	20.965 \| good	0.705 \| good	8.403 \| good	0.175 \| good
2025-11-15T19:00:00.000Z	19 \| good	2.508 \| good	3.432 \| good	20.965 \| good	0.705 \| good	8.403 \| good	0.175 \| good
2025-11-15T18:00:00.000Z	27 \| good	4.931 \| good	8.997 \| good	19.373 \| good	0.355 \| good	9.805 \| good	0.146 \| good
2025-11-15T19:00:00.000Z	33 \| good	6.413 \| good	10.281 \| good	20.539 \| good	0.407 \| good	9.603 \| good	0.147 \| good
2025-11-15T20:00:00.000Z	33 \| good	5.878 \| good	10.682 \| good	21.98 \| good	0.403 \| good	8.346 \| good	0.139 \| good
2025-11-15T21:00:00.000Z	33 \| good	5.662 \| good	10.935 \| good	21.852 \| good	0.397 \| good	8.923 \| good	0.139 \| good
2025-11-15T22:00:00.000Z	33 \| good	5.581 \| good	9.564 \| good	22.358 \| good	0.406 \| good	8.31 \| good	0.136 \| good
2025-11-15T23:00:00.000Z	22 \| good	3.923 \| good	8.349 \| good	22.408 \| good	0.38 \| good	7.243 \| good	0.134 \| good
2025-11-16T00:00:00.000Z	27 \| good	5.34 \| good	8.314 \| good	23.206 \| good	0.319 \| good	5.762 \| good	0.131 \| good
2025-11-16T01:00:00.000Z	23 \| good	4.5 \| good	8.177 \| good	24.634 \| good	0.269 \| good	4.744 \| good	0.129 \| good
2025-11-16T02:00:00.000Z	27 \| good	4.581 \| good	8.315 \| good	25.07 \| good	0.242 \| good	4.187 \| good	0.128 \| good
2025-11-16T03:00:00.000Z	27 \| good	5.04 \| good	10.055 \| good	24.123 \| good	0.248 \| good	3.849 \| good	0.127 \| good
2025-11-16T04:00:00.000Z	27 \| good	4.982 \| good	8.768 \| good	24.24 \| good	0.254 \| good	3.732 \| good	0.126 \| good
2025-11-16T05:00:00.000Z	24 \| good	4.213 \| good	9.007 \| good	25.561 \| good	0.278 \| good	3.614 \| good	0.126 \| good
2025-11-16T06:00:00.000Z	24 \| good	4.461 \| good	7.329 \| good	26.024 \| good	0.329 \| good	3.647 \| good	0.128 \| good
2025-11-16T07:00:00.000Z	27 \| good	4.527 \| good	8.103 \| good	25.004 \| good	0.425 \| good	4.212 \| good	0.132 \| good
2025-11-16T08:00:00.000Z	23 \| good	3.969 \| good	9.099 \| good	25.103 \| good	0.553 \| good	5.038 \| good	0.144 \| good
2025-11-16T09:00:00.000Z	25 \| good	3.632 \| good	8.837 \| good	26.898 \| good	0.599 \| good	5.392 \| good	0.145 \| good
2025-11-16T10:00:00.000Z	26 \| good	3.38 \| good	7.984 \| good	27.865 \| good	0.617 \| good	5.568 \| good	0.145 \| good
2025-11-16T11:00:00.000Z	27 \| good	3.296 \| good	6.592 \| good	28.729 \| good	0.587 \| good	5.471 \| good	0.144 \| good
2025-11-16T12:00:00.000Z	28 \| good	3.251 \| good	6.092 \| good	30.461 \| good	0.517 \| good	5.271 \| good	0.143 \| good
2025-11-16T13:00:00.000Z	30 \| good	3.096 \| good	5.865 \| good	32.382 \| good	0.494 \| good	5.304 \| good	0.144 \| good
2025-11-16T14:00:00.000Z	31 \| good	3.102 \| good	5.917 \| good	33.952 \| good	0.462 \| good	5.334 \| good	0.141 \| good
2025-11-16T15:00:00.000Z	31 \| good	3.25 \| good	6.297 \| good	33.6 \| good	0.447 \| good	5.548 \| good	0.142 \| good
2025-11-16T16:00:00.000Z	30 \| good	3.753 \| good	7.032 \| good	31.872 \| good	0.43 \| good	6.169 \| good	0.143 \| good
2025-11-16T17:00:00.000Z	28 \| good	4.25 \| good	8.483 \| good	30.199 \| good	0.473 \| good	7.191 \| good	0.149 \| good
2025-11-16T18:00:00.000Z	27 \| good	4.82 \| good	8.804 \| good	27.169 \| good	0.523 \| good	8.471 \| good	0.155 \| good
2025-11-16T19:00:00.000Z	27 \| good	5.252 \| good	9.311 \| good	24.405 \| good	0.597 \| good	9.42 \| good	0.161 \| good
2025-11-16T20:00:00.000Z	33 \| good	5.909 \| good	10.38 \| good	23.194 \| good	0.655 \| good	10.47 \| good	0.157 \| good
2025-11-16T21:00:00.000Z	33 \| good	6.374 \| good	11.063 \| good	21.447 \| good	0.72 \| good	12.066 \| good	0.155 \| good
2025-11-16T22:00:00.000Z	44 \| good	7.813 \| good	12.263 \| good	19.626 \| good	0.739 \| good	12.067 \| good	0.16 \| good
2025-11-16T23:00:00.000Z	44 \| good	8.19 \| good	12.473 \| good	18.912 \| good	0.73 \| good	12.123 \| good	0.165 \| good
2025-11-17T00:00:00.000Z	44 \| good	8.298 \| good	11.732 \| good	22.582 \| good	0.669 \| good	10.072 \| good	0.16 \| good
2025-11-17T01:00:00.000Z	44 \| good	7.891 \| good	12.465 \| good	25.735 \| good	0.603 \| good	8.604 \| good	0.157 \| good
2025-11-17T02:00:00.000Z	44 \| good	7.869 \| good	10.417 \| good	25.625 \| good	0.556 \| good	6.985 \| good	0.149 \| good
2025-11-17T03:00:00.000Z	38 \| good	7.264 \| good	10.776 \| good	25.059 \| good	0.489 \| good	6.039 \| good	0.142 \| good
2025-11-17T04:00:00.000Z	38 \| good	6.988 \| good	10.147 \| good	25.364 \| good	0.466 \| good	5.584 \| good	0.135 \| good
2025-11-17T05:00:00.000Z	33 \| good	5.539 \| good	8.921 \| good	26.283 \| good	0.42 \| good	5.329 \| good	0.128 \| good
2025-11-17T06:00:00.000Z	33 \| good	5.569 \| good	8.611 \| good	26.803 \| good	0.485 \| good	5.517 \| good	0.127 \| good
2025-11-17T07:00:00.000Z	33 \| good	6.021 \| good	8.951 \| good	26.661 \| good	0.537 \| good	7.317 \| good	0.134 \| good
2025-11-17T08:00:00.000Z	33 \| good	6.056 \| good	9.452 \| good	23.518 \| good	0.68 \| good	10.522 \| good	0.145 \| good
2025-11-17T09:00:00.000Z	33 \| good	5.821 \| good	10.061 \| good	21.612 \| good	0.709 \| good	11.405 \| good	0.151 \| good
2025-11-17T10:00:00.000Z	27 \| good	4.955 \| good	10.267 \| good	26.847 \| good	0.548 \| good	7.894 \| good	0.147 \| good
2025-11-17T11:00:00.000Z	27 \| good	5.248 \| good	10.644 \| good	27.202 \| good	0.533 \| good	6.687 \| good	0.146 \| good
2025-11-17T12:00:00.000Z	27 \| good	5.055 \| good	10.944 \| good	28.107 \| good	0.463 \| good	5.805 \| good	0.143 \| good
2025-11-17T13:00:00.000Z	27 \| good	4.575 \| good	11.641 \| good	28.161 \| good	0.462 \| good	5.916 \| good	0.144 \| good
2025-11-17T14:00:00.000Z	27 \| good	4.623 \| good	12.268 \| good	28.188 \| good	0.468 \| good	6.482 \| good	0.149 \| good
2025-11-17T15:00:00.000Z	27 \| good	5.073 \| good	12.925 \| good	26.134 \| good	0.527 \| good	8.005 \| good	0.152 \| good
2025-11-17T16:00:00.000Z	33 \| good	5.816 \| good	14.062 \| good	20.059 \| good	0.575 \| good	10.915 \| good	0.166 \| good
2025-11-17T17:00:00.000Z	38 \| good	6.885 \| good	15.638 \| good	15.77 \| good	0.764 \| good	16.088 \| good	0.179 \| good

Halesowen

Empower business decisions with accurate air quality data

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

0.09ppm

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.

View Polluted Cities

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

View Clean Cities

Frequently asked questions

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

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

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

The worst air quality in Halesowen, West Midlands was recorded at 05:00:00 on 2025-11-14.

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

The best air quality in Halesowen, West Midlands was recorded at 04:00:00 on 2025-11-15.

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

The real-time air quality index in Halesowen, West Midlands is 20, currently categorized as Good.

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

The most common pollutant in Halesowen, West Midlands is O3.

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

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

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

The measured PM_2.5 levels in Halesowen, West Midlands at present are 2.403 μg/m³.

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

The current PM₁₀ levels in Halesowen, West Midlands are 3.363 μg/m³.

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

The current carbon monoxide (CO) level in Halesowen, West Midlands is 0.086 ppm.

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

The current sulfur dioxide (SO₂) levels in Halesowen, West Midlands are 0.71 ppb.

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

The current ozone (O₃) levels at Halesowen, West Midlands is 21.73 ppm.

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

The current nitrogen dioxide (NO₂) levels at Halesowen, West Midlands is 7.883 ppb.

Certified

APIs

Refund Policy

Historical Climate Data

Terms & Conditions

Refund Policy

Terms & Conditions

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-11-13T20:00:00.000Z	38 \| good	7.265 \| good	15.731 \| good	16.979 \| good	1.328 \| good	37.354 \| good	0.278 \| good
2025-11-13T21:00:00.000Z	38 \| good	7.167 \| good	14.714 \| good	13.858 \| good	1.329 \| good	37.05 \| good	0.191 \| good
2025-11-13T22:00:00.000Z	38 \| good	7.262 \| good	17.323 \| good	12.873 \| good	1.018 \| good	33.027 \| good	0.182 \| good
2025-11-13T23:00:00.000Z	44 \| good	7.782 \| good	14.237 \| good	7.924 \| good	0.812 \| good	26.366 \| good	0.09 \| good
2025-11-14T00:00:00.000Z	44 \| good	8.37 \| good	17.554 \| good	8.273 \| good	0.757 \| good	19.5 \| good	0.664 \| good
2025-11-14T01:00:00.000Z	44 \| good	8.141 \| good	16.278 \| good	5.872 \| good	0.699 \| good	10.025 \| good	1.129 \| good
2025-11-14T02:00:00.000Z	44 \| good	7.926 \| good	16.286 \| good	5.897 \| good	0.705 \| good	10.025 \| good	0.88 \| good
2025-11-14T03:00:00.000Z	44 \| good	8.397 \| good	15.445 \| good	7.919 \| good	0.739 \| good	5.109 \| good	0.81 \| good
2025-11-14T04:00:00.000Z	49 \| good	9.175 \| good	15.863 \| good	11.42 \| good	0.701 \| good	5.008 \| good	0.812 \| good
2025-11-14T05:00:00.000Z	49 \| good	9.201 \| good	16.325 \| good	13.506 \| good	0.675 \| good	4.264 \| good	0.981 \| good
2025-11-14T06:00:00.000Z	49 \| good	9.252 \| good	16.484 \| good	16.017 \| good	0.737 \| good	3.887 \| good	0.09 \| good
2025-11-14T07:00:00.000Z	49 \| good	9.113 \| good	16.673 \| good	19.69 \| good	0.681 \| good	4.318 \| good	0.084 \| good
2025-11-14T08:00:00.000Z	49 \| good	9.066 \| good	15.967 \| good	21.818 \| good	0.68 \| good	5.854 \| good	0.065 \| good
2025-11-14T09:00:00.000Z	49 \| good	9.202 \| good	16.599 \| good	23.285 \| good	0.706 \| good	7.627 \| good	0.538 \| good
2025-11-14T10:00:00.000Z	49 \| good	9.193 \| good	16.779 \| good	25.147 \| good	0.711 \| good	7.882 \| good	0.051 \| good
2025-11-14T11:00:00.000Z	49 \| good	8.634 \| good	16.32 \| good	26.524 \| good	0.743 \| good	6.937 \| good	0.04 \| good
2025-11-14T12:00:00.000Z	49 \| good	8.541 \| good	15.645 \| good	28.643 \| good	0.763 \| good	5.902 \| good	0.034 \| good
2025-11-14T13:00:00.000Z	44 \| good	8.415 \| good	15.305 \| good	30.103 \| good	0.717 \| good	5.676 \| good	0.033 \| good
2025-11-14T14:00:00.000Z	44 \| good	8.406 \| good	15.256 \| good	31.472 \| good	0.743 \| good	5.159 \| good	0.037 \| good
2025-11-14T15:00:00.000Z	44 \| good	8.406 \| good	14.563 \| good	32.496 \| good	0.736 \| good	5.276 \| good	0.048 \| good
2025-11-14T16:00:00.000Z	44 \| good	7.668 \| good	14.47 \| good	32.855 \| good	0.71 \| good	4.889 \| good	0.068 \| good
2025-11-14T17:00:00.000Z	44 \| good	7.548 \| good	13.633 \| good	33.144 \| good	0.69 \| good	5.232 \| good	0.137 \| good
2025-11-14T18:00:00.000Z	38 \| good	7.4 \| good	12.429 \| good	33.846 \| good	0.68 \| good	5.123 \| good	0.165 \| good
2025-11-14T19:00:00.000Z	38 \| good	6.815 \| good	11.624 \| good	33.957 \| good	0.705 \| good	4.853 \| good	0.214 \| good
2025-11-14T20:00:00.000Z	33 \| good	5.983 \| good	10.715 \| good	34.167 \| good	0.711 \| good	4.367 \| good	0.235 \| good
2025-11-14T21:00:00.000Z	32 \| good	5.214 \| good	8.826 \| good	34.712 \| good	0.68 \| good	3.747 \| good	0.229 \| good
2025-11-14T22:00:00.000Z	32 \| good	4.831 \| good	7.808 \| good	34.966 \| good	0.681 \| good	3.69 \| good	0.157 \| good
2025-11-14T23:00:00.000Z	32 \| good	4.129 \| good	6.945 \| good	35.331 \| good	0.684 \| good	3.231 \| good	0.1 \| good
2025-11-15T00:00:00.000Z	33 \| good	3.825 \| good	6.977 \| good	35.779 \| good	0.71 \| good	3.984 \| good	0.929 \| good
2025-11-15T01:00:00.000Z	33 \| good	3.421 \| good	5.8 \| good	35.897 \| good	0.689 \| good	3.076 \| good	1.206 \| good
2025-11-15T02:00:00.000Z	33 \| good	3.413 \| good	5.444 \| good	36.206 \| good	0.689 \| good	1.96 \| good	0.962 \| good
2025-11-15T03:00:00.000Z	33 \| good	2.446 \| good	4.158 \| good	36.312 \| good	0.71 \| good	1.978 \| good	0.709 \| good
2025-11-15T04:00:00.000Z	33 \| good	2.43 \| good	4.258 \| good	36.2 \| good	0.736 \| good	1.631 \| good	0.561 \| good
2025-11-15T05:00:00.000Z	33 \| good	2.085 \| good	3.385 \| good	35.658 \| good	0.413 \| good	1.594 \| good	0.62 \| good
2025-11-15T06:00:00.000Z	33 \| good	1.542 \| good	3.306 \| good	35.516 \| good	0.68 \| good	1.874 \| good	0.093 \| good
2025-11-15T07:00:00.000Z	32 \| good	1.556 \| good	3.288 \| good	34.824 \| good	0.686 \| good	3.088 \| good	0.096 \| good
2025-11-15T08:00:00.000Z	31 \| good	1.545 \| good	3.125 \| good	33.77 \| good	0.68 \| good	4.005 \| good	0.103 \| good
2025-11-15T09:00:00.000Z	30 \| good	1.555 \| good	3.196 \| good	32.35 \| good	0.676 \| good	6.098 \| good	0.09 \| good
2025-11-15T10:00:00.000Z	29 \| good	1.58 \| good	3.147 \| good	30.789 \| good	0.417 \| good	7.2 \| good	0.08 \| good
2025-11-15T11:00:00.000Z	26 \| good	1.591 \| good	3.298 \| good	27.877 \| good	0.442 \| good	7.24 \| good	0.064 \| good
2025-11-15T12:00:00.000Z	24 \| good	1.681 \| good	3.807 \| good	25.802 \| good	0.424 \| good	7.24 \| good	0.051 \| good
2025-11-15T13:00:00.000Z	24 \| good	1.759 \| good	3.551 \| good	25.537 \| good	0.669 \| good	6.63 \| good	0.04 \| good
2025-11-15T14:00:00.000Z	22 \| good	1.79 \| good	3.351 \| good	24.09 \| good	0.701 \| good	7.204 \| good	0.041 \| good
2025-11-15T15:00:00.000Z	20 \| good	2.341 \| good	3.485 \| good	22.48 \| good	0.725 \| good	7.324 \| good	0.041 \| good
2025-11-15T16:00:00.000Z	20 \| good	2.403 \| good	3.363 \| good	21.73 \| good	0.71 \| good	7.883 \| good	0.086 \| good
2025-11-15T17:00:00.000Z	19 \| good	2.429 \| good	3.468 \| good	20.754 \| good	0.699 \| good	8.491 \| good	0.143 \| good
2025-11-15T18:00:00.000Z	19 \| good	2.508 \| good	3.432 \| good	20.965 \| good	0.705 \| good	8.403 \| good	0.175 \| good
2025-11-15T19:00:00.000Z	19 \| good	2.508 \| good	3.432 \| good	20.965 \| good	0.705 \| good	8.403 \| good	0.175 \| good
2025-11-15T18:00:00.000Z	27 \| good	4.931 \| good	8.997 \| good	19.373 \| good	0.355 \| good	9.805 \| good	0.146 \| good
2025-11-15T19:00:00.000Z	33 \| good	6.413 \| good	10.281 \| good	20.539 \| good	0.407 \| good	9.603 \| good	0.147 \| good
2025-11-15T20:00:00.000Z	33 \| good	5.878 \| good	10.682 \| good	21.98 \| good	0.403 \| good	8.346 \| good	0.139 \| good
2025-11-15T21:00:00.000Z	33 \| good	5.662 \| good	10.935 \| good	21.852 \| good	0.397 \| good	8.923 \| good	0.139 \| good
2025-11-15T22:00:00.000Z	33 \| good	5.581 \| good	9.564 \| good	22.358 \| good	0.406 \| good	8.31 \| good	0.136 \| good
2025-11-15T23:00:00.000Z	22 \| good	3.923 \| good	8.349 \| good	22.408 \| good	0.38 \| good	7.243 \| good	0.134 \| good
2025-11-16T00:00:00.000Z	27 \| good	5.34 \| good	8.314 \| good	23.206 \| good	0.319 \| good	5.762 \| good	0.131 \| good
2025-11-16T01:00:00.000Z	23 \| good	4.5 \| good	8.177 \| good	24.634 \| good	0.269 \| good	4.744 \| good	0.129 \| good
2025-11-16T02:00:00.000Z	27 \| good	4.581 \| good	8.315 \| good	25.07 \| good	0.242 \| good	4.187 \| good	0.128 \| good
2025-11-16T03:00:00.000Z	27 \| good	5.04 \| good	10.055 \| good	24.123 \| good	0.248 \| good	3.849 \| good	0.127 \| good
2025-11-16T04:00:00.000Z	27 \| good	4.982 \| good	8.768 \| good	24.24 \| good	0.254 \| good	3.732 \| good	0.126 \| good
2025-11-16T05:00:00.000Z	24 \| good	4.213 \| good	9.007 \| good	25.561 \| good	0.278 \| good	3.614 \| good	0.126 \| good
2025-11-16T06:00:00.000Z	24 \| good	4.461 \| good	7.329 \| good	26.024 \| good	0.329 \| good	3.647 \| good	0.128 \| good
2025-11-16T07:00:00.000Z	27 \| good	4.527 \| good	8.103 \| good	25.004 \| good	0.425 \| good	4.212 \| good	0.132 \| good
2025-11-16T08:00:00.000Z	23 \| good	3.969 \| good	9.099 \| good	25.103 \| good	0.553 \| good	5.038 \| good	0.144 \| good
2025-11-16T09:00:00.000Z	25 \| good	3.632 \| good	8.837 \| good	26.898 \| good	0.599 \| good	5.392 \| good	0.145 \| good
2025-11-16T10:00:00.000Z	26 \| good	3.38 \| good	7.984 \| good	27.865 \| good	0.617 \| good	5.568 \| good	0.145 \| good
2025-11-16T11:00:00.000Z	27 \| good	3.296 \| good	6.592 \| good	28.729 \| good	0.587 \| good	5.471 \| good	0.144 \| good
2025-11-16T12:00:00.000Z	28 \| good	3.251 \| good	6.092 \| good	30.461 \| good	0.517 \| good	5.271 \| good	0.143 \| good
2025-11-16T13:00:00.000Z	30 \| good	3.096 \| good	5.865 \| good	32.382 \| good	0.494 \| good	5.304 \| good	0.144 \| good
2025-11-16T14:00:00.000Z	31 \| good	3.102 \| good	5.917 \| good	33.952 \| good	0.462 \| good	5.334 \| good	0.141 \| good
2025-11-16T15:00:00.000Z	31 \| good	3.25 \| good	6.297 \| good	33.6 \| good	0.447 \| good	5.548 \| good	0.142 \| good
2025-11-16T16:00:00.000Z	30 \| good	3.753 \| good	7.032 \| good	31.872 \| good	0.43 \| good	6.169 \| good	0.143 \| good
2025-11-16T17:00:00.000Z	28 \| good	4.25 \| good	8.483 \| good	30.199 \| good	0.473 \| good	7.191 \| good	0.149 \| good
2025-11-16T18:00:00.000Z	27 \| good	4.82 \| good	8.804 \| good	27.169 \| good	0.523 \| good	8.471 \| good	0.155 \| good
2025-11-16T19:00:00.000Z	27 \| good	5.252 \| good	9.311 \| good	24.405 \| good	0.597 \| good	9.42 \| good	0.161 \| good
2025-11-16T20:00:00.000Z	33 \| good	5.909 \| good	10.38 \| good	23.194 \| good	0.655 \| good	10.47 \| good	0.157 \| good
2025-11-16T21:00:00.000Z	33 \| good	6.374 \| good	11.063 \| good	21.447 \| good	0.72 \| good	12.066 \| good	0.155 \| good
2025-11-16T22:00:00.000Z	44 \| good	7.813 \| good	12.263 \| good	19.626 \| good	0.739 \| good	12.067 \| good	0.16 \| good
2025-11-16T23:00:00.000Z	44 \| good	8.19 \| good	12.473 \| good	18.912 \| good	0.73 \| good	12.123 \| good	0.165 \| good
2025-11-17T00:00:00.000Z	44 \| good	8.298 \| good	11.732 \| good	22.582 \| good	0.669 \| good	10.072 \| good	0.16 \| good
2025-11-17T01:00:00.000Z	44 \| good	7.891 \| good	12.465 \| good	25.735 \| good	0.603 \| good	8.604 \| good	0.157 \| good
2025-11-17T02:00:00.000Z	44 \| good	7.869 \| good	10.417 \| good	25.625 \| good	0.556 \| good	6.985 \| good	0.149 \| good
2025-11-17T03:00:00.000Z	38 \| good	7.264 \| good	10.776 \| good	25.059 \| good	0.489 \| good	6.039 \| good	0.142 \| good
2025-11-17T04:00:00.000Z	38 \| good	6.988 \| good	10.147 \| good	25.364 \| good	0.466 \| good	5.584 \| good	0.135 \| good
2025-11-17T05:00:00.000Z	33 \| good	5.539 \| good	8.921 \| good	26.283 \| good	0.42 \| good	5.329 \| good	0.128 \| good
2025-11-17T06:00:00.000Z	33 \| good	5.569 \| good	8.611 \| good	26.803 \| good	0.485 \| good	5.517 \| good	0.127 \| good
2025-11-17T07:00:00.000Z	33 \| good	6.021 \| good	8.951 \| good	26.661 \| good	0.537 \| good	7.317 \| good	0.134 \| good
2025-11-17T08:00:00.000Z	33 \| good	6.056 \| good	9.452 \| good	23.518 \| good	0.68 \| good	10.522 \| good	0.145 \| good
2025-11-17T09:00:00.000Z	33 \| good	5.821 \| good	10.061 \| good	21.612 \| good	0.709 \| good	11.405 \| good	0.151 \| good
2025-11-17T10:00:00.000Z	27 \| good	4.955 \| good	10.267 \| good	26.847 \| good	0.548 \| good	7.894 \| good	0.147 \| good
2025-11-17T11:00:00.000Z	27 \| good	5.248 \| good	10.644 \| good	27.202 \| good	0.533 \| good	6.687 \| good	0.146 \| good
2025-11-17T12:00:00.000Z	27 \| good	5.055 \| good	10.944 \| good	28.107 \| good	0.463 \| good	5.805 \| good	0.143 \| good
2025-11-17T13:00:00.000Z	27 \| good	4.575 \| good	11.641 \| good	28.161 \| good	0.462 \| good	5.916 \| good	0.144 \| good
2025-11-17T14:00:00.000Z	27 \| good	4.623 \| good	12.268 \| good	28.188 \| good	0.468 \| good	6.482 \| good	0.149 \| good
2025-11-17T15:00:00.000Z	27 \| good	5.073 \| good	12.925 \| good	26.134 \| good	0.527 \| good	8.005 \| good	0.152 \| good
2025-11-17T16:00:00.000Z	33 \| good	5.816 \| good	14.062 \| good	20.059 \| good	0.575 \| good	10.915 \| good	0.166 \| good
2025-11-17T17:00:00.000Z	38 \| good	6.885 \| good	15.638 \| good	15.77 \| good	0.764 \| good	16.088 \| good	0.179 \| good

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

Common air pollutants in Halesowen, West Midlands

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Halesowen, West Midlands air quality forecast and history

Empower business decisions with accurate air quality data

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

Air quality in nearby cities

Cradley Heath, West Midlands

Rowley Regis, West Midlands

Brierley Hill, West Midlands

Oldbury, West Midlands

Stourbridge, West Midlands

Dudley, 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 Halesowen, West Midlands updated?

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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