What are the current PM10 levels at Kidderminster, Worcestershire?

The current PM10 levels in Kidderminster, Worcestershire are 18.184 μg/m3.

What are the current sulfur dioxide (SO2) levels at Kidderminster, Worcestershire?

The current sulfur dioxide (SO2) levels in Kidderminster, Worcestershire are 0.488 ppb.

What are the current ozone (O3) levels at Kidderminster, Worcestershire?

The current ozone (O3) levels at Kidderminster, Worcestershire is 26.04 ppm.

What are the current nitrogen dioxide (NO2) levels at Kidderminster, Worcestershire?

The current nitrogen dioxide (NO2) levels at Kidderminster, Worcestershire is 6.707 ppb.

Real-time air quality index in Kidderminster, Worcestershire today

Q: What are the current PM2.5 levels in Kidderminster, Worcestershire?

The measured PM2.5 levels in Kidderminster, Worcestershire at present are 7.693 μg/m3.

Stay updated with real-time air quality in Kidderminster, Worcestershire 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

Kidderminster, Worcestershire

Last updated: ... (Local time)

Common air pollutants in Kidderminster, Worcestershire

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

7.69 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

18.18 μg/m³

155

255

425

605+

Ozone (O₃)

26.04 ppb

201

201+

Sulfur Dioxide (SO₂)

0.49 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

6.71 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.14 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Kidderminster, Worcestershire

Get Live Pollen Counts

Kidderminster, Worcestershire

Scroll To Air Quality Map

Track live Kidderminster, Worcestershire air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-12-26T22:00:00.000Z	33 \| good	5.893 \| good	14.744 \| good	27.001 \| good	0.573 \| good	5.63 \| good	0.029 \| good
2025-12-26T23:00:00.000Z	38 \| good	6.535 \| good	15.464 \| good	27.013 \| good	0.382 \| good	6.338 \| good	0.029 \| good
2025-12-27T00:00:00.000Z	38 \| good	6.52 \| good	13.813 \| good	26.489 \| good	0.58 \| good	5.061 \| good	0.305 \| good
2025-12-27T01:00:00.000Z	38 \| good	6.514 \| good	15.941 \| good	26.834 \| good	0.506 \| good	7.216 \| good	0.577 \| good
2025-12-27T02:00:00.000Z	33 \| good	6.458 \| good	15.059 \| good	30.465 \| good	0.382 \| good	5.581 \| good	0.228 \| good
2025-12-27T03:00:00.000Z	33 \| good	6.465 \| good	13.414 \| good	26.511 \| good	0.447 \| good	4.502 \| good	0.241 \| good
2025-12-27T04:00:00.000Z	33 \| good	6.439 \| good	14.998 \| good	26.918 \| good	0.447 \| good	4.554 \| good	0.188 \| good
2025-12-27T05:00:00.000Z	33 \| good	6.355 \| good	18.472 \| good	29.996 \| good	0.512 \| good	5.024 \| good	0.169 \| good
2025-12-27T06:00:00.000Z	33 \| good	6.235 \| good	12.15 \| good	26.211 \| good	0.513 \| good	6.781 \| good	0.023 \| good
2025-12-27T07:00:00.000Z	38 \| good	6.54 \| good	15.238 \| good	26.815 \| good	0.382 \| good	4.955 \| good	0.033 \| good
2025-12-27T08:00:00.000Z	33 \| good	6.196 \| good	16.509 \| good	30.3 \| good	0.513 \| good	6.881 \| good	0.041 \| good
2025-12-27T09:00:00.000Z	33 \| good	6.234 \| good	13.288 \| good	25.019 \| good	0.514 \| good	2.972 \| good	0.031 \| good
2025-12-27T10:00:00.000Z	33 \| good	6.33 \| good	16.948 \| good	24.307 \| good	0.382 \| good	3.632 \| good	0.024 \| good
2025-12-27T11:00:00.000Z	33 \| good	5.709 \| good	11.829 \| good	29.028 \| good	0.513 \| good	4.836 \| good	0.029 \| good
2025-12-27T12:00:00.000Z	33 \| good	5.624 \| good	11.355 \| good	26.115 \| good	0.581 \| good	5.913 \| good	0.03 \| good
2025-12-27T13:00:00.000Z	27 \| good	5.447 \| good	11.006 \| good	27.533 \| good	0.53 \| good	5.694 \| good	0.029 \| good
2025-12-27T14:00:00.000Z	28 \| good	5.399 \| good	9.549 \| good	29.502 \| good	0.594 \| good	4.986 \| good	0.041 \| good
2025-12-27T15:00:00.000Z	28 \| good	5.285 \| good	14.572 \| good	29.631 \| good	0.593 \| good	5.414 \| good	0.044 \| good
2025-12-27T16:00:00.000Z	30 \| good	5.046 \| good	9.531 \| good	32.254 \| good	0.448 \| good	6.497 \| good	0.055 \| good
2025-12-27T17:00:00.000Z	28 \| good	5.066 \| good	12.19 \| good	29.982 \| good	0.382 \| good	5.928 \| good	0.083 \| good
2025-12-27T18:00:00.000Z	28 \| good	4.808 \| good	10.898 \| good	30.282 \| good	0.514 \| good	6.263 \| good	0.107 \| good
2025-12-27T19:00:00.000Z	33 \| good	5.808 \| good	12.15 \| good	29.389 \| good	0.58 \| good	5.686 \| good	0.158 \| good
2025-12-27T20:00:00.000Z	29 \| good	4.529 \| good	12.337 \| good	30.696 \| good	0.448 \| good	5.306 \| good	0.213 \| good
2025-12-27T21:00:00.000Z	27 \| good	4.21 \| good	10.984 \| good	29.209 \| good	0.514 \| good	4.466 \| good	0.16 \| good
2025-12-27T22:00:00.000Z	29 \| good	4.227 \| good	12.143 \| good	30.62 \| good	0.448 \| good	3.893 \| good	0.187 \| good
2025-12-27T23:00:00.000Z	31 \| good	4.152 \| good	6.716 \| good	32.959 \| good	0.517 \| good	4.434 \| good	0.141 \| good
2025-12-28T00:00:00.000Z	31 \| good	3.923 \| good	5.727 \| good	33.24 \| good	0.514 \| good	4.281 \| good	1.101 \| good
2025-12-28T01:00:00.000Z	31 \| good	3.893 \| good	10.432 \| good	33.488 \| good	0.752 \| good	3.687 \| good	1.078 \| good
2025-12-28T02:00:00.000Z	32 \| good	3.732 \| good	7.34 \| good	34.801 \| good	0.527 \| good	3.049 \| good	1.235 \| good
2025-12-28T03:00:00.000Z	33 \| good	4 \| good	8.992 \| good	36.114 \| good	0.448 \| good	2.519 \| good	0.638 \| good
2025-12-28T04:00:00.000Z	32 \| good	4 \| good	6.405 \| good	35.418 \| good	0.448 \| good	1.76 \| good	0.677 \| good
2025-12-28T05:00:00.000Z	33 \| good	4 \| good	8.602 \| good	36.011 \| good	0.448 \| good	1.783 \| good	0.432 \| good
2025-12-28T06:00:00.000Z	33 \| good	4 \| good	13.954 \| good	36.176 \| good	0.448 \| good	1.652 \| good	0.044 \| good
2025-12-28T07:00:00.000Z	31 \| good	4 \| good	12.32 \| good	32.933 \| good	0.449 \| good	1.704 \| good	0.056 \| good
2025-12-28T08:00:00.000Z	29 \| good	5.255 \| good	11.11 \| good	30.606 \| good	0.463 \| good	4.607 \| good	0.123 \| good
2025-12-28T09:00:00.000Z	29 \| good	5.408 \| good	11.375 \| good	31.165 \| good	0.518 \| good	5.231 \| good	0.13 \| good
2025-12-28T10:00:00.000Z	30 \| good	5.222 \| good	11.707 \| good	31.891 \| good	0.47 \| good	5.319 \| good	0.13 \| good
2025-12-28T11:00:00.000Z	31 \| good	4.971 \| good	11.473 \| good	32.805 \| good	0.388 \| good	4.878 \| good	0.127 \| good
2025-12-28T12:00:00.000Z	31 \| good	5.11 \| good	15.768 \| good	33.174 \| good	0.452 \| good	4.784 \| good	0.127 \| good
2025-12-28T13:00:00.000Z	31 \| good	5.312 \| good	13.725 \| good	32.837 \| good	0.365 \| good	4.484 \| good	0.126 \| good
2025-12-28T14:00:00.000Z	33 \| good	5.566 \| good	13.455 \| good	32.89 \| good	0.33 \| good	4.646 \| good	0.129 \| good
2025-12-28T15:00:00.000Z	33 \| good	5.677 \| good	14.111 \| good	32.339 \| good	0.351 \| good	4.947 \| good	0.131 \| good
2025-12-28T16:00:00.000Z	33 \| good	5.82 \| good	13.809 \| good	30.55 \| good	0.363 \| good	5.416 \| good	0.133 \| good
2025-12-28T17:00:00.000Z	33 \| good	6.294 \| good	12.948 \| good	29.971 \| good	0.385 \| good	6.455 \| good	0.136 \| good
2025-12-28T18:00:00.000Z	38 \| good	6.882 \| good	14.563 \| good	28.446 \| good	0.404 \| good	6.643 \| good	0.141 \| good
2025-12-28T19:00:00.000Z	44 \| good	7.722 \| good	18.513 \| good	25.899 \| good	0.445 \| good	6.357 \| good	0.145 \| good
2025-12-28T20:00:00.000Z	44 \| good	7.693 \| good	18.184 \| good	26.04 \| good	0.488 \| good	6.707 \| good	0.141 \| good
2025-12-28T21:00:00.000Z	44 \| good	7.693 \| good	18.184 \| good	26.04 \| good	0.488 \| good	6.707 \| good	0.141 \| good
2025-12-28T22:00:00.000Z	38 \| good	6.859 \| good	17.433 \| good	28.177 \| good	0.488 \| good	5.925 \| good	0.133 \| good
2025-12-28T23:00:00.000Z	33 \| good	6.149 \| good	17.264 \| good	27.665 \| good	0.458 \| good	5.287 \| good	0.132 \| good
2025-12-29T00:00:00.000Z	33 \| good	5.83 \| good	16.284 \| good	28.435 \| good	0.408 \| good	4.677 \| good	0.13 \| good
2025-12-29T01:00:00.000Z	33 \| good	6.048 \| good	16.317 \| good	28.623 \| good	0.373 \| good	4.745 \| good	0.128 \| good
2025-12-29T02:00:00.000Z	38 \| good	6.683 \| good	16.939 \| good	26.155 \| good	0.368 \| good	4.702 \| good	0.132 \| good
2025-12-29T03:00:00.000Z	38 \| good	7.165 \| good	13.967 \| good	27.202 \| good	0.402 \| good	4.914 \| good	0.135 \| good
2025-12-29T04:00:00.000Z	44 \| good	7.694 \| good	12.439 \| good	25.758 \| good	0.47 \| good	4.869 \| good	0.137 \| good
2025-12-29T05:00:00.000Z	44 \| good	8.281 \| good	13.925 \| good	24.401 \| good	0.606 \| good	4.991 \| good	0.141 \| good
2025-12-29T06:00:00.000Z	44 \| good	8.07 \| good	14.893 \| good	24.86 \| good	0.751 \| good	4.979 \| good	0.141 \| good
2025-12-29T07:00:00.000Z	38 \| good	6.687 \| good	14.488 \| good	26.362 \| good	0.75 \| good	6.345 \| good	0.14 \| good
2025-12-29T08:00:00.000Z	33 \| good	6.236 \| good	15.24 \| good	25.648 \| good	0.755 \| good	8.356 \| good	0.143 \| good
2025-12-29T09:00:00.000Z	38 \| good	6.563 \| good	16.989 \| good	23.82 \| good	0.84 \| good	10.356 \| good	0.149 \| good
2025-12-29T10:00:00.000Z	38 \| good	6.541 \| good	17.241 \| good	23.239 \| good	0.891 \| good	12.015 \| good	0.157 \| good
2025-12-29T11:00:00.000Z	33 \| good	6.009 \| good	14.506 \| good	24.933 \| good	0.855 \| good	11.013 \| good	0.153 \| good
2025-12-29T12:00:00.000Z	27 \| good	5.389 \| good	10.787 \| good	28.095 \| good	0.76 \| good	8.796 \| good	0.144 \| good
2025-12-29T13:00:00.000Z	28 \| good	4.481 \| good	9.502 \| good	30.283 \| good	0.601 \| good	7.639 \| good	0.139 \| good
2025-12-29T14:00:00.000Z	28 \| good	4.03 \| good	9.19 \| good	29.717 \| good	0.571 \| good	7.413 \| good	0.141 \| good
2025-12-29T15:00:00.000Z	28 \| good	3.873 \| good	9.562 \| good	29.814 \| good	0.543 \| good	6.989 \| good	0.139 \| good
2025-12-29T16:00:00.000Z	26 \| good	4.166 \| good	10.674 \| good	28.466 \| good	0.526 \| good	8.086 \| good	0.141 \| good
2025-12-29T17:00:00.000Z	27 \| good	5.059 \| good	11.606 \| good	26.771 \| good	0.6 \| good	9.233 \| good	0.145 \| good
2025-12-29T18:00:00.000Z	33 \| good	6.33 \| good	13.103 \| good	25.163 \| good	0.608 \| good	9.908 \| good	0.152 \| good
2025-12-29T19:00:00.000Z	44 \| good	7.672 \| good	14.611 \| good	22.427 \| good	0.667 \| good	10.466 \| good	0.158 \| good
2025-12-29T20:00:00.000Z	49 \| good	8.887 \| good	15.984 \| good	20.541 \| good	0.698 \| good	10.75 \| good	0.159 \| good
2025-12-29T21:00:00.000Z	49 \| good	9.231 \| good	16.677 \| good	20.035 \| good	0.709 \| good	10.551 \| good	0.159 \| good
2025-12-29T22:00:00.000Z	52 \| moderate	9.52 \| good	16.798 \| good	20.338 \| good	0.71 \| good	9.921 \| good	0.155 \| good
2025-12-29T23:00:00.000Z	49 \| good	9.415 \| good	15.665 \| good	21.275 \| good	0.7 \| good	9.335 \| good	0.15 \| good
2025-12-30T00:00:00.000Z	44 \| good	7.895 \| good	15.176 \| good	22.751 \| good	0.648 \| good	7.659 \| good	0.147 \| good
2025-12-30T01:00:00.000Z	38 \| good	6.939 \| good	15.147 \| good	24.217 \| good	0.583 \| good	6.397 \| good	0.144 \| good
2025-12-30T02:00:00.000Z	33 \| good	6.068 \| good	14.034 \| good	26.41 \| good	0.593 \| good	5.328 \| good	0.137 \| good
2025-12-30T03:00:00.000Z	27 \| good	5.422 \| good	13.558 \| good	28.175 \| good	0.534 \| good	4.236 \| good	0.133 \| good
2025-12-30T04:00:00.000Z	27 \| good	4.951 \| good	12.626 \| good	28.878 \| good	0.515 \| good	3.489 \| good	0.131 \| good
2025-12-30T05:00:00.000Z	27 \| good	4.682 \| good	12.172 \| good	29.321 \| good	0.544 \| good	3.586 \| good	0.133 \| good
2025-12-30T06:00:00.000Z	27 \| good	4.786 \| good	13.158 \| good	29.364 \| good	0.584 \| good	3.979 \| good	0.133 \| good
2025-12-30T07:00:00.000Z	27 \| good	4.781 \| good	13.059 \| good	29.263 \| good	0.649 \| good	5.097 \| good	0.134 \| good
2025-12-30T08:00:00.000Z	27 \| good	4.927 \| good	13.007 \| good	28.102 \| good	0.742 \| good	7.149 \| good	0.143 \| good
2025-12-30T09:00:00.000Z	27 \| good	5.35 \| good	12.898 \| good	26.292 \| good	0.886 \| good	10.349 \| good	0.15 \| good
2025-12-30T10:00:00.000Z	33 \| good	5.546 \| good	11.9 \| good	26.242 \| good	0.877 \| good	11.03 \| good	0.152 \| good
2025-12-30T11:00:00.000Z	27 \| good	5.475 \| good	11.456 \| good	28.018 \| good	0.847 \| good	9.859 \| good	0.151 \| good
2025-12-30T12:00:00.000Z	29 \| good	4.85 \| good	11.121 \| good	30.985 \| good	0.741 \| good	7.356 \| good	0.147 \| good
2025-12-30T13:00:00.000Z	31 \| good	4.068 \| good	10.061 \| good	33.574 \| good	0.65 \| good	6.215 \| good	0.143 \| good
2025-12-30T14:00:00.000Z	32 \| good	4.138 \| good	10.449 \| good	34.517 \| good	0.594 \| good	6.264 \| good	0.142 \| good
2025-12-30T15:00:00.000Z	31 \| good	4.437 \| good	11.219 \| good	33.662 \| good	0.6 \| good	6.223 \| good	0.144 \| good
2025-12-30T16:00:00.000Z	30 \| good	4.973 \| good	12.728 \| good	32.19 \| good	0.648 \| good	7.685 \| good	0.149 \| good
2025-12-30T17:00:00.000Z	33 \| good	6.089 \| good	13.642 \| good	27.377 \| good	0.777 \| good	10.519 \| good	0.161 \| good
2025-12-30T18:00:00.000Z	44 \| good	8.145 \| good	15.136 \| good	22.92 \| good	0.754 \| good	12.673 \| good	0.179 \| good
2025-12-30T19:00:00.000Z	52 \| moderate	9.789 \| good	17.936 \| good	19.016 \| good	0.812 \| good	15.45 \| good	0.192 \| good
2025-12-30T20:00:00.000Z	56 \| moderate	11.611 \| good	20.041 \| good	14.851 \| good	0.824 \| good	16.168 \| good	0.198 \| good
2025-12-30T21:00:00.000Z	58 \| moderate	13.408 \| fine	20.741 \| good	11.695 \| good	0.867 \| good	17.33 \| good	0.215 \| good

Kidderminster

Empower business decisions with accurate air quality data

Kidderminster, Worcestershire air quality map: Real-time AQI near you

0.13ppm

How accurate is Worcestershire, UK air quality data?

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

Source: Ambee Data Sources

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Frequently asked questions

How frequently is the air quality data for Kidderminster, Worcestershire updated?

Air quality data for Kidderminster, Worcestershire is updated on an hourly basis.

When did Kidderminster, Worcestershire experience the worst air quality in the last 24 hours?

The worst air quality in Kidderminster, Worcestershire was recorded at 08:00:00 on 2025-12-28.

When did Kidderminster, Worcestershire have its best air quality in the last 24 hours?

The best air quality in Kidderminster, Worcestershire was recorded at 09:00:00 on 2025-12-27.

What is the real-time air quality index for Kidderminster, Worcestershire?

The real-time air quality index in Kidderminster, Worcestershire is 44, currently categorized as Good.

Which pollutant is found most often in Kidderminster, Worcestershire?

The most common pollutant in Kidderminster, Worcestershire is PM2.5.

What can I do if the air quality in Kidderminster, Worcestershire is poor?

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

What are the current PM_2.5 levels in Kidderminster, Worcestershire?

The measured PM_2.5 levels in Kidderminster, Worcestershire at present are 7.693 μg/m³.

What are the current PM₁₀ levels at Kidderminster, Worcestershire?

The current PM₁₀ levels in Kidderminster, Worcestershire are 18.184 μg/m³.

What are the current carbon monoxide (CO) levels at Kidderminster, Worcestershire?

The current carbon monoxide (CO) level in Kidderminster, Worcestershire is 0.141 ppm.

What are the current sulfur dioxide (SO₂) levels at Kidderminster, Worcestershire?

The current sulfur dioxide (SO₂) levels in Kidderminster, Worcestershire are 0.488 ppb.

What are the current ozone (O₃) levels at Kidderminster, Worcestershire?

The current ozone (O₃) levels at Kidderminster, Worcestershire is 26.04 ppm.

What are the current nitrogen dioxide (NO₂) levels at Kidderminster, Worcestershire?

The current nitrogen dioxide (NO₂) levels at Kidderminster, Worcestershire is 6.707 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-12-26T22:00:00.000Z	33 \| good	5.893 \| good	14.744 \| good	27.001 \| good	0.573 \| good	5.63 \| good	0.029 \| good
2025-12-26T23:00:00.000Z	38 \| good	6.535 \| good	15.464 \| good	27.013 \| good	0.382 \| good	6.338 \| good	0.029 \| good
2025-12-27T00:00:00.000Z	38 \| good	6.52 \| good	13.813 \| good	26.489 \| good	0.58 \| good	5.061 \| good	0.305 \| good
2025-12-27T01:00:00.000Z	38 \| good	6.514 \| good	15.941 \| good	26.834 \| good	0.506 \| good	7.216 \| good	0.577 \| good
2025-12-27T02:00:00.000Z	33 \| good	6.458 \| good	15.059 \| good	30.465 \| good	0.382 \| good	5.581 \| good	0.228 \| good
2025-12-27T03:00:00.000Z	33 \| good	6.465 \| good	13.414 \| good	26.511 \| good	0.447 \| good	4.502 \| good	0.241 \| good
2025-12-27T04:00:00.000Z	33 \| good	6.439 \| good	14.998 \| good	26.918 \| good	0.447 \| good	4.554 \| good	0.188 \| good
2025-12-27T05:00:00.000Z	33 \| good	6.355 \| good	18.472 \| good	29.996 \| good	0.512 \| good	5.024 \| good	0.169 \| good
2025-12-27T06:00:00.000Z	33 \| good	6.235 \| good	12.15 \| good	26.211 \| good	0.513 \| good	6.781 \| good	0.023 \| good
2025-12-27T07:00:00.000Z	38 \| good	6.54 \| good	15.238 \| good	26.815 \| good	0.382 \| good	4.955 \| good	0.033 \| good
2025-12-27T08:00:00.000Z	33 \| good	6.196 \| good	16.509 \| good	30.3 \| good	0.513 \| good	6.881 \| good	0.041 \| good
2025-12-27T09:00:00.000Z	33 \| good	6.234 \| good	13.288 \| good	25.019 \| good	0.514 \| good	2.972 \| good	0.031 \| good
2025-12-27T10:00:00.000Z	33 \| good	6.33 \| good	16.948 \| good	24.307 \| good	0.382 \| good	3.632 \| good	0.024 \| good
2025-12-27T11:00:00.000Z	33 \| good	5.709 \| good	11.829 \| good	29.028 \| good	0.513 \| good	4.836 \| good	0.029 \| good
2025-12-27T12:00:00.000Z	33 \| good	5.624 \| good	11.355 \| good	26.115 \| good	0.581 \| good	5.913 \| good	0.03 \| good
2025-12-27T13:00:00.000Z	27 \| good	5.447 \| good	11.006 \| good	27.533 \| good	0.53 \| good	5.694 \| good	0.029 \| good
2025-12-27T14:00:00.000Z	28 \| good	5.399 \| good	9.549 \| good	29.502 \| good	0.594 \| good	4.986 \| good	0.041 \| good
2025-12-27T15:00:00.000Z	28 \| good	5.285 \| good	14.572 \| good	29.631 \| good	0.593 \| good	5.414 \| good	0.044 \| good
2025-12-27T16:00:00.000Z	30 \| good	5.046 \| good	9.531 \| good	32.254 \| good	0.448 \| good	6.497 \| good	0.055 \| good
2025-12-27T17:00:00.000Z	28 \| good	5.066 \| good	12.19 \| good	29.982 \| good	0.382 \| good	5.928 \| good	0.083 \| good
2025-12-27T18:00:00.000Z	28 \| good	4.808 \| good	10.898 \| good	30.282 \| good	0.514 \| good	6.263 \| good	0.107 \| good
2025-12-27T19:00:00.000Z	33 \| good	5.808 \| good	12.15 \| good	29.389 \| good	0.58 \| good	5.686 \| good	0.158 \| good
2025-12-27T20:00:00.000Z	29 \| good	4.529 \| good	12.337 \| good	30.696 \| good	0.448 \| good	5.306 \| good	0.213 \| good
2025-12-27T21:00:00.000Z	27 \| good	4.21 \| good	10.984 \| good	29.209 \| good	0.514 \| good	4.466 \| good	0.16 \| good
2025-12-27T22:00:00.000Z	29 \| good	4.227 \| good	12.143 \| good	30.62 \| good	0.448 \| good	3.893 \| good	0.187 \| good
2025-12-27T23:00:00.000Z	31 \| good	4.152 \| good	6.716 \| good	32.959 \| good	0.517 \| good	4.434 \| good	0.141 \| good
2025-12-28T00:00:00.000Z	31 \| good	3.923 \| good	5.727 \| good	33.24 \| good	0.514 \| good	4.281 \| good	1.101 \| good
2025-12-28T01:00:00.000Z	31 \| good	3.893 \| good	10.432 \| good	33.488 \| good	0.752 \| good	3.687 \| good	1.078 \| good
2025-12-28T02:00:00.000Z	32 \| good	3.732 \| good	7.34 \| good	34.801 \| good	0.527 \| good	3.049 \| good	1.235 \| good
2025-12-28T03:00:00.000Z	33 \| good	4 \| good	8.992 \| good	36.114 \| good	0.448 \| good	2.519 \| good	0.638 \| good
2025-12-28T04:00:00.000Z	32 \| good	4 \| good	6.405 \| good	35.418 \| good	0.448 \| good	1.76 \| good	0.677 \| good
2025-12-28T05:00:00.000Z	33 \| good	4 \| good	8.602 \| good	36.011 \| good	0.448 \| good	1.783 \| good	0.432 \| good
2025-12-28T06:00:00.000Z	33 \| good	4 \| good	13.954 \| good	36.176 \| good	0.448 \| good	1.652 \| good	0.044 \| good
2025-12-28T07:00:00.000Z	31 \| good	4 \| good	12.32 \| good	32.933 \| good	0.449 \| good	1.704 \| good	0.056 \| good
2025-12-28T08:00:00.000Z	29 \| good	5.255 \| good	11.11 \| good	30.606 \| good	0.463 \| good	4.607 \| good	0.123 \| good
2025-12-28T09:00:00.000Z	29 \| good	5.408 \| good	11.375 \| good	31.165 \| good	0.518 \| good	5.231 \| good	0.13 \| good
2025-12-28T10:00:00.000Z	30 \| good	5.222 \| good	11.707 \| good	31.891 \| good	0.47 \| good	5.319 \| good	0.13 \| good
2025-12-28T11:00:00.000Z	31 \| good	4.971 \| good	11.473 \| good	32.805 \| good	0.388 \| good	4.878 \| good	0.127 \| good
2025-12-28T12:00:00.000Z	31 \| good	5.11 \| good	15.768 \| good	33.174 \| good	0.452 \| good	4.784 \| good	0.127 \| good
2025-12-28T13:00:00.000Z	31 \| good	5.312 \| good	13.725 \| good	32.837 \| good	0.365 \| good	4.484 \| good	0.126 \| good
2025-12-28T14:00:00.000Z	33 \| good	5.566 \| good	13.455 \| good	32.89 \| good	0.33 \| good	4.646 \| good	0.129 \| good
2025-12-28T15:00:00.000Z	33 \| good	5.677 \| good	14.111 \| good	32.339 \| good	0.351 \| good	4.947 \| good	0.131 \| good
2025-12-28T16:00:00.000Z	33 \| good	5.82 \| good	13.809 \| good	30.55 \| good	0.363 \| good	5.416 \| good	0.133 \| good
2025-12-28T17:00:00.000Z	33 \| good	6.294 \| good	12.948 \| good	29.971 \| good	0.385 \| good	6.455 \| good	0.136 \| good
2025-12-28T18:00:00.000Z	38 \| good	6.882 \| good	14.563 \| good	28.446 \| good	0.404 \| good	6.643 \| good	0.141 \| good
2025-12-28T19:00:00.000Z	44 \| good	7.722 \| good	18.513 \| good	25.899 \| good	0.445 \| good	6.357 \| good	0.145 \| good
2025-12-28T20:00:00.000Z	44 \| good	7.693 \| good	18.184 \| good	26.04 \| good	0.488 \| good	6.707 \| good	0.141 \| good
2025-12-28T21:00:00.000Z	44 \| good	7.693 \| good	18.184 \| good	26.04 \| good	0.488 \| good	6.707 \| good	0.141 \| good
2025-12-28T22:00:00.000Z	38 \| good	6.859 \| good	17.433 \| good	28.177 \| good	0.488 \| good	5.925 \| good	0.133 \| good
2025-12-28T23:00:00.000Z	33 \| good	6.149 \| good	17.264 \| good	27.665 \| good	0.458 \| good	5.287 \| good	0.132 \| good
2025-12-29T00:00:00.000Z	33 \| good	5.83 \| good	16.284 \| good	28.435 \| good	0.408 \| good	4.677 \| good	0.13 \| good
2025-12-29T01:00:00.000Z	33 \| good	6.048 \| good	16.317 \| good	28.623 \| good	0.373 \| good	4.745 \| good	0.128 \| good
2025-12-29T02:00:00.000Z	38 \| good	6.683 \| good	16.939 \| good	26.155 \| good	0.368 \| good	4.702 \| good	0.132 \| good
2025-12-29T03:00:00.000Z	38 \| good	7.165 \| good	13.967 \| good	27.202 \| good	0.402 \| good	4.914 \| good	0.135 \| good
2025-12-29T04:00:00.000Z	44 \| good	7.694 \| good	12.439 \| good	25.758 \| good	0.47 \| good	4.869 \| good	0.137 \| good
2025-12-29T05:00:00.000Z	44 \| good	8.281 \| good	13.925 \| good	24.401 \| good	0.606 \| good	4.991 \| good	0.141 \| good
2025-12-29T06:00:00.000Z	44 \| good	8.07 \| good	14.893 \| good	24.86 \| good	0.751 \| good	4.979 \| good	0.141 \| good
2025-12-29T07:00:00.000Z	38 \| good	6.687 \| good	14.488 \| good	26.362 \| good	0.75 \| good	6.345 \| good	0.14 \| good
2025-12-29T08:00:00.000Z	33 \| good	6.236 \| good	15.24 \| good	25.648 \| good	0.755 \| good	8.356 \| good	0.143 \| good
2025-12-29T09:00:00.000Z	38 \| good	6.563 \| good	16.989 \| good	23.82 \| good	0.84 \| good	10.356 \| good	0.149 \| good
2025-12-29T10:00:00.000Z	38 \| good	6.541 \| good	17.241 \| good	23.239 \| good	0.891 \| good	12.015 \| good	0.157 \| good
2025-12-29T11:00:00.000Z	33 \| good	6.009 \| good	14.506 \| good	24.933 \| good	0.855 \| good	11.013 \| good	0.153 \| good
2025-12-29T12:00:00.000Z	27 \| good	5.389 \| good	10.787 \| good	28.095 \| good	0.76 \| good	8.796 \| good	0.144 \| good
2025-12-29T13:00:00.000Z	28 \| good	4.481 \| good	9.502 \| good	30.283 \| good	0.601 \| good	7.639 \| good	0.139 \| good
2025-12-29T14:00:00.000Z	28 \| good	4.03 \| good	9.19 \| good	29.717 \| good	0.571 \| good	7.413 \| good	0.141 \| good
2025-12-29T15:00:00.000Z	28 \| good	3.873 \| good	9.562 \| good	29.814 \| good	0.543 \| good	6.989 \| good	0.139 \| good
2025-12-29T16:00:00.000Z	26 \| good	4.166 \| good	10.674 \| good	28.466 \| good	0.526 \| good	8.086 \| good	0.141 \| good
2025-12-29T17:00:00.000Z	27 \| good	5.059 \| good	11.606 \| good	26.771 \| good	0.6 \| good	9.233 \| good	0.145 \| good
2025-12-29T18:00:00.000Z	33 \| good	6.33 \| good	13.103 \| good	25.163 \| good	0.608 \| good	9.908 \| good	0.152 \| good
2025-12-29T19:00:00.000Z	44 \| good	7.672 \| good	14.611 \| good	22.427 \| good	0.667 \| good	10.466 \| good	0.158 \| good
2025-12-29T20:00:00.000Z	49 \| good	8.887 \| good	15.984 \| good	20.541 \| good	0.698 \| good	10.75 \| good	0.159 \| good
2025-12-29T21:00:00.000Z	49 \| good	9.231 \| good	16.677 \| good	20.035 \| good	0.709 \| good	10.551 \| good	0.159 \| good
2025-12-29T22:00:00.000Z	52 \| moderate	9.52 \| good	16.798 \| good	20.338 \| good	0.71 \| good	9.921 \| good	0.155 \| good
2025-12-29T23:00:00.000Z	49 \| good	9.415 \| good	15.665 \| good	21.275 \| good	0.7 \| good	9.335 \| good	0.15 \| good
2025-12-30T00:00:00.000Z	44 \| good	7.895 \| good	15.176 \| good	22.751 \| good	0.648 \| good	7.659 \| good	0.147 \| good
2025-12-30T01:00:00.000Z	38 \| good	6.939 \| good	15.147 \| good	24.217 \| good	0.583 \| good	6.397 \| good	0.144 \| good
2025-12-30T02:00:00.000Z	33 \| good	6.068 \| good	14.034 \| good	26.41 \| good	0.593 \| good	5.328 \| good	0.137 \| good
2025-12-30T03:00:00.000Z	27 \| good	5.422 \| good	13.558 \| good	28.175 \| good	0.534 \| good	4.236 \| good	0.133 \| good
2025-12-30T04:00:00.000Z	27 \| good	4.951 \| good	12.626 \| good	28.878 \| good	0.515 \| good	3.489 \| good	0.131 \| good
2025-12-30T05:00:00.000Z	27 \| good	4.682 \| good	12.172 \| good	29.321 \| good	0.544 \| good	3.586 \| good	0.133 \| good
2025-12-30T06:00:00.000Z	27 \| good	4.786 \| good	13.158 \| good	29.364 \| good	0.584 \| good	3.979 \| good	0.133 \| good
2025-12-30T07:00:00.000Z	27 \| good	4.781 \| good	13.059 \| good	29.263 \| good	0.649 \| good	5.097 \| good	0.134 \| good
2025-12-30T08:00:00.000Z	27 \| good	4.927 \| good	13.007 \| good	28.102 \| good	0.742 \| good	7.149 \| good	0.143 \| good
2025-12-30T09:00:00.000Z	27 \| good	5.35 \| good	12.898 \| good	26.292 \| good	0.886 \| good	10.349 \| good	0.15 \| good
2025-12-30T10:00:00.000Z	33 \| good	5.546 \| good	11.9 \| good	26.242 \| good	0.877 \| good	11.03 \| good	0.152 \| good
2025-12-30T11:00:00.000Z	27 \| good	5.475 \| good	11.456 \| good	28.018 \| good	0.847 \| good	9.859 \| good	0.151 \| good
2025-12-30T12:00:00.000Z	29 \| good	4.85 \| good	11.121 \| good	30.985 \| good	0.741 \| good	7.356 \| good	0.147 \| good
2025-12-30T13:00:00.000Z	31 \| good	4.068 \| good	10.061 \| good	33.574 \| good	0.65 \| good	6.215 \| good	0.143 \| good
2025-12-30T14:00:00.000Z	32 \| good	4.138 \| good	10.449 \| good	34.517 \| good	0.594 \| good	6.264 \| good	0.142 \| good
2025-12-30T15:00:00.000Z	31 \| good	4.437 \| good	11.219 \| good	33.662 \| good	0.6 \| good	6.223 \| good	0.144 \| good
2025-12-30T16:00:00.000Z	30 \| good	4.973 \| good	12.728 \| good	32.19 \| good	0.648 \| good	7.685 \| good	0.149 \| good
2025-12-30T17:00:00.000Z	33 \| good	6.089 \| good	13.642 \| good	27.377 \| good	0.777 \| good	10.519 \| good	0.161 \| good
2025-12-30T18:00:00.000Z	44 \| good	8.145 \| good	15.136 \| good	22.92 \| good	0.754 \| good	12.673 \| good	0.179 \| good
2025-12-30T19:00:00.000Z	52 \| moderate	9.789 \| good	17.936 \| good	19.016 \| good	0.812 \| good	15.45 \| good	0.192 \| good
2025-12-30T20:00:00.000Z	56 \| moderate	11.611 \| good	20.041 \| good	14.851 \| good	0.824 \| good	16.168 \| good	0.198 \| good
2025-12-30T21:00:00.000Z	58 \| moderate	13.408 \| fine	20.741 \| good	11.695 \| good	0.867 \| good	17.33 \| good	0.215 \| good

Real-time air quality index in Kidderminster, Worcestershire today

Common air pollutants in Kidderminster, Worcestershire

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Kidderminster, Worcestershire air quality forecast and history

Empower business decisions with accurate air quality data

Kidderminster, Worcestershire air quality map: Real-time AQI near you

Air quality in nearby cities

StourportonSevern, Worcestershire

Stourbridge, West Midlands

Catshill, Worcestershire

Kingswinford, West Midlands

Brierley Hill, West Midlands

Bromsgrove, Worcestershire

How accurate is Worcestershire, UK air quality data?

Air quality levels in UK

Frequently asked questions

How frequently is the air quality data for Kidderminster, Worcestershire updated?

When did Kidderminster, Worcestershire experience the worst air quality in the last 24 hours?

When did Kidderminster, Worcestershire have its best air quality in the last 24 hours?

What is the real-time air quality index for Kidderminster, Worcestershire?

Which pollutant is found most often in Kidderminster, Worcestershire?

What can I do if the air quality in Kidderminster, Worcestershire is poor?

What are the current PM2.5 levels in Kidderminster, Worcestershire?

What are the current PM10 levels at Kidderminster, Worcestershire?

What are the current carbon monoxide (CO) levels at Kidderminster, Worcestershire?

What are the current sulfur dioxide (SO2) levels at Kidderminster, Worcestershire?

What are the current ozone (O3) levels at Kidderminster, Worcestershire?

What are the current nitrogen dioxide (NO2) levels at Kidderminster, Worcestershire?

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 Kidderminster, Worcestershire?

What are the current PM₁₀ levels at Kidderminster, Worcestershire?

What are the current sulfur dioxide (SO₂) levels at Kidderminster, Worcestershire?

What are the current ozone (O₃) levels at Kidderminster, Worcestershire?

What are the current nitrogen dioxide (NO₂) levels at Kidderminster, Worcestershire?