What are the current PM10 levels at Worcester, Worcestershire?

The current PM10 levels in Worcester, Worcestershire are 6.694 μg/m3.

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

The current sulfur dioxide (SO2) levels in Worcester, Worcestershire are 0.602 ppb.

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

The current ozone (O3) levels at Worcester, Worcestershire is 17.533 ppm.

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

The current nitrogen dioxide (NO2) levels at Worcester, Worcestershire is 8.201 ppb.

Real-time air quality index in Worcester, Worcestershire today

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

The measured PM2.5 levels in Worcester, Worcestershire at present are 5.137 μg/m3.

Stay updated with real-time air quality in Worcester, 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

Worcester, Worcestershire

Last updated: ... (Local time)

Common air pollutants in Worcester, Worcestershire

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

5.14 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

6.69 μg/m³

155

255

425

605+

Ozone (O₃)

17.53 ppb

201

201+

Sulfur Dioxide (SO₂)

0.60 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

8.20 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.18 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

Worcester, Worcestershire

Get Live Pollen Counts

Worcester, Worcestershire

Scroll To Air Quality Map

Track live Worcester, Worcestershire air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-11-13T19:00:00.000Z	38 \| good	7.42 \| good	13.492 \| good	23.149 \| good	1.036 \| good	22.761 \| good	0.183 \| good
2025-11-13T20:00:00.000Z	33 \| good	6.168 \| good	11.155 \| good	20.623 \| good	0.932 \| good	27.16 \| good	0.288 \| good
2025-11-13T21:00:00.000Z	33 \| good	6.181 \| good	11.684 \| good	19.595 \| good	1.151 \| good	24.258 \| good	0.197 \| good
2025-11-13T22:00:00.000Z	33 \| good	6.181 \| good	14.157 \| good	18.233 \| good	0.897 \| good	12.553 \| good	0.189 \| good
2025-11-13T23:00:00.000Z	33 \| good	6.203 \| good	10.778 \| good	11.874 \| good	0.919 \| good	12.458 \| good	0.093 \| good
2025-11-14T00:00:00.000Z	38 \| good	6.678 \| good	12.923 \| good	18.529 \| good	0.775 \| good	16.13 \| good	0.664 \| good
2025-11-14T01:00:00.000Z	38 \| good	6.714 \| good	16.053 \| good	11.171 \| good	0.639 \| good	7.916 \| good	1.129 \| good
2025-11-14T02:00:00.000Z	44 \| good	7.82 \| good	25.848 \| good	17.417 \| good	0.648 \| good	8.65 \| good	0.879 \| good
2025-11-14T03:00:00.000Z	49 \| good	8.577 \| good	15.306 \| good	23.511 \| good	0.658 \| good	6.681 \| good	0.809 \| good
2025-11-14T04:00:00.000Z	44 \| good	7.978 \| good	17.38 \| good	19.903 \| good	0.709 \| good	5.337 \| good	0.811 \| good
2025-11-14T05:00:00.000Z	38 \| good	6.913 \| good	14.736 \| good	17.787 \| good	0.6 \| good	3.516 \| good	0.981 \| good
2025-11-14T06:00:00.000Z	49 \| good	8.567 \| good	10.423 \| good	21.974 \| good	0.705 \| good	4.211 \| good	0.093 \| good
2025-11-14T07:00:00.000Z	38 \| good	7.284 \| good	11.676 \| good	28.675 \| good	0.598 \| good	3.284 \| good	0.087 \| good
2025-11-14T08:00:00.000Z	44 \| good	7.971 \| good	13.505 \| good	29.597 \| good	0.606 \| good	4.906 \| good	0.067 \| good
2025-11-14T09:00:00.000Z	44 \| good	8.134 \| good	17.336 \| good	29.006 \| good	0.65 \| good	5.584 \| good	0.538 \| good
2025-11-14T10:00:00.000Z	38 \| good	6.978 \| good	12.707 \| good	29.912 \| good	0.707 \| good	4.615 \| good	0.053 \| good
2025-11-14T11:00:00.000Z	38 \| good	7.038 \| good	11.956 \| good	29.146 \| good	0.757 \| good	4.224 \| good	0.042 \| good
2025-11-14T12:00:00.000Z	44 \| good	7.867 \| good	16.029 \| good	32.39 \| good	0.716 \| good	4.172 \| good	0.035 \| good
2025-11-14T13:00:00.000Z	44 \| good	7.71 \| good	15.888 \| good	32.04 \| good	0.705 \| good	3.344 \| good	0.034 \| good
2025-11-14T14:00:00.000Z	44 \| good	7.717 \| good	15.716 \| good	33.124 \| good	0.717 \| good	3.332 \| good	0.038 \| good
2025-11-14T15:00:00.000Z	44 \| good	7.723 \| good	14.824 \| good	33.019 \| good	0.757 \| good	3.301 \| good	0.049 \| good
2025-11-14T16:00:00.000Z	38 \| good	7.276 \| good	14.451 \| good	34.174 \| good	0.704 \| good	3.211 \| good	0.07 \| good
2025-11-14T17:00:00.000Z	38 \| good	6.938 \| good	13.037 \| good	34.538 \| good	0.651 \| good	3.43 \| good	0.141 \| good
2025-11-14T18:00:00.000Z	38 \| good	6.771 \| good	12.826 \| good	34.152 \| good	0.654 \| good	4.361 \| good	0.17 \| good
2025-11-14T19:00:00.000Z	33 \| good	6.484 \| good	8.877 \| good	34.219 \| good	0.708 \| good	4.56 \| good	0.221 \| good
2025-11-14T20:00:00.000Z	33 \| good	5.816 \| good	7.043 \| good	34.924 \| good	0.705 \| good	4.539 \| good	0.243 \| good
2025-11-14T21:00:00.000Z	31 \| good	4.97 \| good	5.573 \| good	33.66 \| good	0.599 \| good	3.853 \| good	0.237 \| good
2025-11-14T22:00:00.000Z	31 \| good	4.613 \| good	5.174 \| good	33.336 \| good	0.6 \| good	3.446 \| good	0.162 \| good
2025-11-14T23:00:00.000Z	27 \| good	4.234 \| good	4.757 \| good	28.852 \| good	0.652 \| good	3.161 \| good	0.104 \| good
2025-11-15T00:00:00.000Z	27 \| good	3.647 \| good	3.828 \| good	28.761 \| good	0.705 \| good	3.626 \| good	0.928 \| good
2025-11-15T01:00:00.000Z	29 \| good	2.885 \| good	3.571 \| good	30.679 \| good	0.661 \| good	5.847 \| good	1.205 \| good
2025-11-15T02:00:00.000Z	29 \| good	2.897 \| good	3.764 \| good	31.27 \| good	0.662 \| good	5.081 \| good	0.962 \| good
2025-11-15T03:00:00.000Z	30 \| good	1.896 \| good	2.709 \| good	31.969 \| good	0.663 \| good	3.586 \| good	0.708 \| good
2025-11-15T04:00:00.000Z	30 \| good	1.886 \| good	2.375 \| good	31.857 \| good	0.717 \| good	3.082 \| good	0.561 \| good
2025-11-15T05:00:00.000Z	29 \| good	1.44 \| good	2 \| good	31.017 \| good	0.488 \| good	3.049 \| good	0.619 \| good
2025-11-15T06:00:00.000Z	28 \| good	1.216 \| good	2 \| good	29.56 \| good	0.599 \| good	2.054 \| good	0.096 \| good
2025-11-15T07:00:00.000Z	24 \| good	1.227 \| good	2 \| good	26.303 \| good	0.66 \| good	2.917 \| good	0.099 \| good
2025-11-15T08:00:00.000Z	21 \| good	1.232 \| good	2.713 \| good	22.805 \| good	0.658 \| good	3.621 \| good	0.106 \| good
2025-11-15T09:00:00.000Z	14 \| good	1.207 \| good	2.601 \| good	14.807 \| good	0.65 \| good	5.09 \| good	0.092 \| good
2025-11-15T10:00:00.000Z	18 \| good	1.179 \| good	2.625 \| good	18.765 \| good	0.491 \| good	6.401 \| good	0.083 \| good
2025-11-15T11:00:00.000Z	19 \| good	1.329 \| good	2.595 \| good	21.395 \| good	0.491 \| good	7.987 \| good	0.066 \| good
2025-11-15T12:00:00.000Z	19 \| good	2.209 \| good	4.968 \| good	20.775 \| good	0.494 \| good	5.61 \| good	0.053 \| good
2025-11-15T13:00:00.000Z	19 \| good	2.382 \| good	3.578 \| good	19.98 \| good	0.599 \| good	5.82 \| good	0.042 \| good
2025-11-15T14:00:00.000Z	16 \| good	2.347 \| good	5.269 \| good	17.491 \| good	0.651 \| good	6.152 \| good	0.042 \| good
2025-11-15T15:00:00.000Z	17 \| good	2.998 \| good	4.922 \| good	18.019 \| good	0.71 \| good	7.102 \| good	0.043 \| good
2025-11-15T16:00:00.000Z	17 \| good	0.4 \| good	2.767 \| good	17.868 \| good	0.711 \| good	7.324 \| good	0.088 \| good
2025-11-15T17:00:00.000Z	16 \| good	2.919 \| good	3.853 \| good	16.153 \| good	0.603 \| good	9.949 \| good	0.147 \| good
2025-11-15T18:00:00.000Z	27 \| good	5.137 \| good	6.694 \| good	17.533 \| good	0.602 \| good	8.201 \| good	0.181 \| good
2025-11-15T18:00:00.000Z	27 \| good	5.137 \| good	6.694 \| good	17.533 \| good	0.602 \| good	8.201 \| good	0.181 \| good
2025-11-15T19:00:00.000Z	33 \| good	5.788 \| good	8.698 \| good	18.866 \| good	0.283 \| good	7.507 \| good	0.141 \| good
2025-11-15T20:00:00.000Z	33 \| good	6.353 \| good	10.375 \| good	20.051 \| good	0.293 \| good	6.85 \| good	0.137 \| good
2025-11-15T21:00:00.000Z	38 \| good	6.883 \| good	10.506 \| good	20.883 \| good	0.288 \| good	6.262 \| good	0.135 \| good
2025-11-15T22:00:00.000Z	38 \| good	6.552 \| good	10.218 \| good	21.642 \| good	0.278 \| good	5.761 \| good	0.134 \| good
2025-11-15T23:00:00.000Z	27 \| good	4.723 \| good	8.965 \| good	21.999 \| good	0.251 \| good	5.014 \| good	0.132 \| good
2025-11-16T00:00:00.000Z	22 \| good	3.883 \| good	7.435 \| good	22.673 \| good	0.197 \| good	4.349 \| good	0.129 \| good
2025-11-16T01:00:00.000Z	22 \| good	4.097 \| good	7.096 \| good	23.205 \| good	0.18 \| good	3.821 \| good	0.127 \| good
2025-11-16T02:00:00.000Z	22 \| good	4.359 \| good	7.47 \| good	23.723 \| good	0.175 \| good	3.306 \| good	0.125 \| good
2025-11-16T03:00:00.000Z	23 \| good	4.273 \| good	7.915 \| good	24.55 \| good	0.16 \| good	2.854 \| good	0.125 \| good
2025-11-16T04:00:00.000Z	27 \| good	4.706 \| good	9.345 \| good	24.487 \| good	0.155 \| good	2.656 \| good	0.124 \| good
2025-11-16T05:00:00.000Z	27 \| good	4.666 \| good	8.997 \| good	24.026 \| good	0.163 \| good	2.567 \| good	0.124 \| good
2025-11-16T06:00:00.000Z	23 \| good	4.152 \| good	8.914 \| good	24.853 \| good	0.199 \| good	2.521 \| good	0.124 \| good
2025-11-16T07:00:00.000Z	23 \| good	4.001 \| good	7.973 \| good	25.486 \| good	0.257 \| good	2.67 \| good	0.125 \| good
2025-11-16T08:00:00.000Z	23 \| good	4.024 \| good	8.052 \| good	25.123 \| good	0.343 \| good	3.044 \| good	0.13 \| good
2025-11-16T09:00:00.000Z	23 \| good	3.838 \| good	8.726 \| good	25.058 \| good	0.418 \| good	3.622 \| good	0.134 \| good
2025-11-16T10:00:00.000Z	25 \| good	3.752 \| good	8.508 \| good	26.53 \| good	0.455 \| good	4.016 \| good	0.137 \| good
2025-11-16T11:00:00.000Z	26 \| good	3.387 \| good	7.752 \| good	28.316 \| good	0.467 \| good	4.155 \| good	0.138 \| good
2025-11-16T12:00:00.000Z	28 \| good	3.344 \| good	6.759 \| good	29.671 \| good	0.471 \| good	4.148 \| good	0.139 \| good
2025-11-16T13:00:00.000Z	29 \| good	3.483 \| good	6.327 \| good	30.998 \| good	0.447 \| good	4.18 \| good	0.139 \| good
2025-11-16T14:00:00.000Z	30 \| good	3.421 \| good	6.13 \| good	32.068 \| good	0.449 \| good	4.305 \| good	0.139 \| good
2025-11-16T15:00:00.000Z	31 \| good	3.351 \| good	6.485 \| good	32.788 \| good	0.452 \| good	4.458 \| good	0.139 \| good
2025-11-16T16:00:00.000Z	30 \| good	3.526 \| good	6.995 \| good	32.363 \| good	0.422 \| good	4.807 \| good	0.139 \| good
2025-11-16T17:00:00.000Z	29 \| good	3.99 \| good	8.142 \| good	30.886 \| good	0.413 \| good	5.438 \| good	0.143 \| good
2025-11-16T18:00:00.000Z	28 \| good	4.925 \| good	9.086 \| good	29.547 \| good	0.432 \| good	6.122 \| good	0.148 \| good
2025-11-16T19:00:00.000Z	33 \| good	5.74 \| good	9.398 \| good	26.271 \| good	0.465 \| good	6.952 \| good	0.152 \| good
2025-11-16T20:00:00.000Z	38 \| good	6.541 \| good	9.767 \| good	24.407 \| good	0.507 \| good	7.535 \| good	0.153 \| good
2025-11-16T21:00:00.000Z	38 \| good	7.013 \| good	10.882 \| good	22.973 \| good	0.5 \| good	7.431 \| good	0.156 \| good
2025-11-16T22:00:00.000Z	44 \| good	7.559 \| good	11.912 \| good	22.587 \| good	0.467 \| good	6.49 \| good	0.156 \| good
2025-11-16T23:00:00.000Z	44 \| good	8.243 \| good	12.013 \| good	22.188 \| good	0.423 \| good	6.008 \| good	0.152 \| good
2025-11-17T00:00:00.000Z	44 \| good	7.903 \| good	11.178 \| good	22.735 \| good	0.387 \| good	5.65 \| good	0.149 \| good
2025-11-17T01:00:00.000Z	44 \| good	8.429 \| good	12.236 \| good	24.704 \| good	0.356 \| good	5.637 \| good	0.148 \| good
2025-11-17T02:00:00.000Z	44 \| good	7.955 \| good	11.79 \| good	24.88 \| good	0.334 \| good	4.911 \| good	0.143 \| good
2025-11-17T03:00:00.000Z	38 \| good	7.36 \| good	9.829 \| good	24.711 \| good	0.332 \| good	4.426 \| good	0.139 \| good
2025-11-17T04:00:00.000Z	38 \| good	6.917 \| good	9.811 \| good	24.356 \| good	0.333 \| good	4.182 \| good	0.135 \| good
2025-11-17T05:00:00.000Z	38 \| good	6.557 \| good	10.045 \| good	24.066 \| good	0.327 \| good	4.133 \| good	0.132 \| good
2025-11-17T06:00:00.000Z	33 \| good	6.273 \| good	9.651 \| good	24.307 \| good	0.322 \| good	3.633 \| good	0.129 \| good
2025-11-17T07:00:00.000Z	33 \| good	5.923 \| good	9.394 \| good	24.752 \| good	0.375 \| good	4.423 \| good	0.128 \| good
2025-11-17T08:00:00.000Z	33 \| good	5.774 \| good	9.565 \| good	23.968 \| good	0.426 \| good	4.868 \| good	0.13 \| good
2025-11-17T09:00:00.000Z	27 \| good	4.935 \| good	9.469 \| good	24.769 \| good	0.436 \| good	4.828 \| good	0.131 \| good
2025-11-17T10:00:00.000Z	26 \| good	4.13 \| good	9.727 \| good	27.976 \| good	0.344 \| good	3.926 \| good	0.13 \| good
2025-11-17T11:00:00.000Z	27 \| good	4.103 \| good	9.27 \| good	29.41 \| good	0.331 \| good	3.458 \| good	0.13 \| good
2025-11-17T12:00:00.000Z	27 \| good	4.408 \| good	9.911 \| good	29.226 \| good	0.312 \| good	3.346 \| good	0.131 \| good
2025-11-17T13:00:00.000Z	27 \| good	4.297 \| good	10.599 \| good	28.819 \| good	0.309 \| good	3.26 \| good	0.133 \| good
2025-11-17T14:00:00.000Z	27 \| good	4.177 \| good	11.296 \| good	29.371 \| good	0.307 \| good	3.569 \| good	0.134 \| good
2025-11-17T15:00:00.000Z	27 \| good	4.241 \| good	11.398 \| good	28.666 \| good	0.319 \| good	4.144 \| good	0.138 \| good
2025-11-17T16:00:00.000Z	27 \| good	4.752 \| good	11.416 \| good	25.379 \| good	0.368 \| good	5.7 \| good	0.142 \| good
2025-11-17T17:00:00.000Z	33 \| good	5.517 \| good	12.814 \| good	22.525 \| good	0.424 \| good	7.542 \| good	0.149 \| good
2025-11-17T18:00:00.000Z	38 \| good	7.05 \| good	13.371 \| good	21.14 \| good	0.467 \| good	8.356 \| good	0.155 \| good

Worcester

Empower business decisions with accurate air quality data

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

0.10ppm

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 Worcester, Worcestershire updated?

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

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

The worst air quality in Worcester, Worcestershire was recorded at 06:00:00 on 2025-11-14.

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

The best air quality in Worcester, Worcestershire was recorded at 09:00:00 on 2025-11-15.

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

The real-time air quality index in Worcester, Worcestershire is 27, currently categorized as Good.

Which pollutant is found most often in Worcester, Worcestershire?

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

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

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

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

The measured PM_2.5 levels in Worcester, Worcestershire at present are 5.137 μg/m³.

What are the current PM₁₀ levels at Worcester, Worcestershire?

The current PM₁₀ levels in Worcester, Worcestershire are 6.694 μg/m³.

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

The current carbon monoxide (CO) level in Worcester, Worcestershire is 0.181 ppm.

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

The current sulfur dioxide (SO₂) levels in Worcester, Worcestershire are 0.602 ppb.

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

The current ozone (O₃) levels at Worcester, Worcestershire is 17.533 ppm.

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

The current nitrogen dioxide (NO₂) levels at Worcester, Worcestershire is 8.201 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-11-13T19:00:00.000Z	38 \| good	7.42 \| good	13.492 \| good	23.149 \| good	1.036 \| good	22.761 \| good	0.183 \| good
2025-11-13T20:00:00.000Z	33 \| good	6.168 \| good	11.155 \| good	20.623 \| good	0.932 \| good	27.16 \| good	0.288 \| good
2025-11-13T21:00:00.000Z	33 \| good	6.181 \| good	11.684 \| good	19.595 \| good	1.151 \| good	24.258 \| good	0.197 \| good
2025-11-13T22:00:00.000Z	33 \| good	6.181 \| good	14.157 \| good	18.233 \| good	0.897 \| good	12.553 \| good	0.189 \| good
2025-11-13T23:00:00.000Z	33 \| good	6.203 \| good	10.778 \| good	11.874 \| good	0.919 \| good	12.458 \| good	0.093 \| good
2025-11-14T00:00:00.000Z	38 \| good	6.678 \| good	12.923 \| good	18.529 \| good	0.775 \| good	16.13 \| good	0.664 \| good
2025-11-14T01:00:00.000Z	38 \| good	6.714 \| good	16.053 \| good	11.171 \| good	0.639 \| good	7.916 \| good	1.129 \| good
2025-11-14T02:00:00.000Z	44 \| good	7.82 \| good	25.848 \| good	17.417 \| good	0.648 \| good	8.65 \| good	0.879 \| good
2025-11-14T03:00:00.000Z	49 \| good	8.577 \| good	15.306 \| good	23.511 \| good	0.658 \| good	6.681 \| good	0.809 \| good
2025-11-14T04:00:00.000Z	44 \| good	7.978 \| good	17.38 \| good	19.903 \| good	0.709 \| good	5.337 \| good	0.811 \| good
2025-11-14T05:00:00.000Z	38 \| good	6.913 \| good	14.736 \| good	17.787 \| good	0.6 \| good	3.516 \| good	0.981 \| good
2025-11-14T06:00:00.000Z	49 \| good	8.567 \| good	10.423 \| good	21.974 \| good	0.705 \| good	4.211 \| good	0.093 \| good
2025-11-14T07:00:00.000Z	38 \| good	7.284 \| good	11.676 \| good	28.675 \| good	0.598 \| good	3.284 \| good	0.087 \| good
2025-11-14T08:00:00.000Z	44 \| good	7.971 \| good	13.505 \| good	29.597 \| good	0.606 \| good	4.906 \| good	0.067 \| good
2025-11-14T09:00:00.000Z	44 \| good	8.134 \| good	17.336 \| good	29.006 \| good	0.65 \| good	5.584 \| good	0.538 \| good
2025-11-14T10:00:00.000Z	38 \| good	6.978 \| good	12.707 \| good	29.912 \| good	0.707 \| good	4.615 \| good	0.053 \| good
2025-11-14T11:00:00.000Z	38 \| good	7.038 \| good	11.956 \| good	29.146 \| good	0.757 \| good	4.224 \| good	0.042 \| good
2025-11-14T12:00:00.000Z	44 \| good	7.867 \| good	16.029 \| good	32.39 \| good	0.716 \| good	4.172 \| good	0.035 \| good
2025-11-14T13:00:00.000Z	44 \| good	7.71 \| good	15.888 \| good	32.04 \| good	0.705 \| good	3.344 \| good	0.034 \| good
2025-11-14T14:00:00.000Z	44 \| good	7.717 \| good	15.716 \| good	33.124 \| good	0.717 \| good	3.332 \| good	0.038 \| good
2025-11-14T15:00:00.000Z	44 \| good	7.723 \| good	14.824 \| good	33.019 \| good	0.757 \| good	3.301 \| good	0.049 \| good
2025-11-14T16:00:00.000Z	38 \| good	7.276 \| good	14.451 \| good	34.174 \| good	0.704 \| good	3.211 \| good	0.07 \| good
2025-11-14T17:00:00.000Z	38 \| good	6.938 \| good	13.037 \| good	34.538 \| good	0.651 \| good	3.43 \| good	0.141 \| good
2025-11-14T18:00:00.000Z	38 \| good	6.771 \| good	12.826 \| good	34.152 \| good	0.654 \| good	4.361 \| good	0.17 \| good
2025-11-14T19:00:00.000Z	33 \| good	6.484 \| good	8.877 \| good	34.219 \| good	0.708 \| good	4.56 \| good	0.221 \| good
2025-11-14T20:00:00.000Z	33 \| good	5.816 \| good	7.043 \| good	34.924 \| good	0.705 \| good	4.539 \| good	0.243 \| good
2025-11-14T21:00:00.000Z	31 \| good	4.97 \| good	5.573 \| good	33.66 \| good	0.599 \| good	3.853 \| good	0.237 \| good
2025-11-14T22:00:00.000Z	31 \| good	4.613 \| good	5.174 \| good	33.336 \| good	0.6 \| good	3.446 \| good	0.162 \| good
2025-11-14T23:00:00.000Z	27 \| good	4.234 \| good	4.757 \| good	28.852 \| good	0.652 \| good	3.161 \| good	0.104 \| good
2025-11-15T00:00:00.000Z	27 \| good	3.647 \| good	3.828 \| good	28.761 \| good	0.705 \| good	3.626 \| good	0.928 \| good
2025-11-15T01:00:00.000Z	29 \| good	2.885 \| good	3.571 \| good	30.679 \| good	0.661 \| good	5.847 \| good	1.205 \| good
2025-11-15T02:00:00.000Z	29 \| good	2.897 \| good	3.764 \| good	31.27 \| good	0.662 \| good	5.081 \| good	0.962 \| good
2025-11-15T03:00:00.000Z	30 \| good	1.896 \| good	2.709 \| good	31.969 \| good	0.663 \| good	3.586 \| good	0.708 \| good
2025-11-15T04:00:00.000Z	30 \| good	1.886 \| good	2.375 \| good	31.857 \| good	0.717 \| good	3.082 \| good	0.561 \| good
2025-11-15T05:00:00.000Z	29 \| good	1.44 \| good	2 \| good	31.017 \| good	0.488 \| good	3.049 \| good	0.619 \| good
2025-11-15T06:00:00.000Z	28 \| good	1.216 \| good	2 \| good	29.56 \| good	0.599 \| good	2.054 \| good	0.096 \| good
2025-11-15T07:00:00.000Z	24 \| good	1.227 \| good	2 \| good	26.303 \| good	0.66 \| good	2.917 \| good	0.099 \| good
2025-11-15T08:00:00.000Z	21 \| good	1.232 \| good	2.713 \| good	22.805 \| good	0.658 \| good	3.621 \| good	0.106 \| good
2025-11-15T09:00:00.000Z	14 \| good	1.207 \| good	2.601 \| good	14.807 \| good	0.65 \| good	5.09 \| good	0.092 \| good
2025-11-15T10:00:00.000Z	18 \| good	1.179 \| good	2.625 \| good	18.765 \| good	0.491 \| good	6.401 \| good	0.083 \| good
2025-11-15T11:00:00.000Z	19 \| good	1.329 \| good	2.595 \| good	21.395 \| good	0.491 \| good	7.987 \| good	0.066 \| good
2025-11-15T12:00:00.000Z	19 \| good	2.209 \| good	4.968 \| good	20.775 \| good	0.494 \| good	5.61 \| good	0.053 \| good
2025-11-15T13:00:00.000Z	19 \| good	2.382 \| good	3.578 \| good	19.98 \| good	0.599 \| good	5.82 \| good	0.042 \| good
2025-11-15T14:00:00.000Z	16 \| good	2.347 \| good	5.269 \| good	17.491 \| good	0.651 \| good	6.152 \| good	0.042 \| good
2025-11-15T15:00:00.000Z	17 \| good	2.998 \| good	4.922 \| good	18.019 \| good	0.71 \| good	7.102 \| good	0.043 \| good
2025-11-15T16:00:00.000Z	17 \| good	0.4 \| good	2.767 \| good	17.868 \| good	0.711 \| good	7.324 \| good	0.088 \| good
2025-11-15T17:00:00.000Z	16 \| good	2.919 \| good	3.853 \| good	16.153 \| good	0.603 \| good	9.949 \| good	0.147 \| good
2025-11-15T18:00:00.000Z	27 \| good	5.137 \| good	6.694 \| good	17.533 \| good	0.602 \| good	8.201 \| good	0.181 \| good
2025-11-15T18:00:00.000Z	27 \| good	5.137 \| good	6.694 \| good	17.533 \| good	0.602 \| good	8.201 \| good	0.181 \| good
2025-11-15T19:00:00.000Z	33 \| good	5.788 \| good	8.698 \| good	18.866 \| good	0.283 \| good	7.507 \| good	0.141 \| good
2025-11-15T20:00:00.000Z	33 \| good	6.353 \| good	10.375 \| good	20.051 \| good	0.293 \| good	6.85 \| good	0.137 \| good
2025-11-15T21:00:00.000Z	38 \| good	6.883 \| good	10.506 \| good	20.883 \| good	0.288 \| good	6.262 \| good	0.135 \| good
2025-11-15T22:00:00.000Z	38 \| good	6.552 \| good	10.218 \| good	21.642 \| good	0.278 \| good	5.761 \| good	0.134 \| good
2025-11-15T23:00:00.000Z	27 \| good	4.723 \| good	8.965 \| good	21.999 \| good	0.251 \| good	5.014 \| good	0.132 \| good
2025-11-16T00:00:00.000Z	22 \| good	3.883 \| good	7.435 \| good	22.673 \| good	0.197 \| good	4.349 \| good	0.129 \| good
2025-11-16T01:00:00.000Z	22 \| good	4.097 \| good	7.096 \| good	23.205 \| good	0.18 \| good	3.821 \| good	0.127 \| good
2025-11-16T02:00:00.000Z	22 \| good	4.359 \| good	7.47 \| good	23.723 \| good	0.175 \| good	3.306 \| good	0.125 \| good
2025-11-16T03:00:00.000Z	23 \| good	4.273 \| good	7.915 \| good	24.55 \| good	0.16 \| good	2.854 \| good	0.125 \| good
2025-11-16T04:00:00.000Z	27 \| good	4.706 \| good	9.345 \| good	24.487 \| good	0.155 \| good	2.656 \| good	0.124 \| good
2025-11-16T05:00:00.000Z	27 \| good	4.666 \| good	8.997 \| good	24.026 \| good	0.163 \| good	2.567 \| good	0.124 \| good
2025-11-16T06:00:00.000Z	23 \| good	4.152 \| good	8.914 \| good	24.853 \| good	0.199 \| good	2.521 \| good	0.124 \| good
2025-11-16T07:00:00.000Z	23 \| good	4.001 \| good	7.973 \| good	25.486 \| good	0.257 \| good	2.67 \| good	0.125 \| good
2025-11-16T08:00:00.000Z	23 \| good	4.024 \| good	8.052 \| good	25.123 \| good	0.343 \| good	3.044 \| good	0.13 \| good
2025-11-16T09:00:00.000Z	23 \| good	3.838 \| good	8.726 \| good	25.058 \| good	0.418 \| good	3.622 \| good	0.134 \| good
2025-11-16T10:00:00.000Z	25 \| good	3.752 \| good	8.508 \| good	26.53 \| good	0.455 \| good	4.016 \| good	0.137 \| good
2025-11-16T11:00:00.000Z	26 \| good	3.387 \| good	7.752 \| good	28.316 \| good	0.467 \| good	4.155 \| good	0.138 \| good
2025-11-16T12:00:00.000Z	28 \| good	3.344 \| good	6.759 \| good	29.671 \| good	0.471 \| good	4.148 \| good	0.139 \| good
2025-11-16T13:00:00.000Z	29 \| good	3.483 \| good	6.327 \| good	30.998 \| good	0.447 \| good	4.18 \| good	0.139 \| good
2025-11-16T14:00:00.000Z	30 \| good	3.421 \| good	6.13 \| good	32.068 \| good	0.449 \| good	4.305 \| good	0.139 \| good
2025-11-16T15:00:00.000Z	31 \| good	3.351 \| good	6.485 \| good	32.788 \| good	0.452 \| good	4.458 \| good	0.139 \| good
2025-11-16T16:00:00.000Z	30 \| good	3.526 \| good	6.995 \| good	32.363 \| good	0.422 \| good	4.807 \| good	0.139 \| good
2025-11-16T17:00:00.000Z	29 \| good	3.99 \| good	8.142 \| good	30.886 \| good	0.413 \| good	5.438 \| good	0.143 \| good
2025-11-16T18:00:00.000Z	28 \| good	4.925 \| good	9.086 \| good	29.547 \| good	0.432 \| good	6.122 \| good	0.148 \| good
2025-11-16T19:00:00.000Z	33 \| good	5.74 \| good	9.398 \| good	26.271 \| good	0.465 \| good	6.952 \| good	0.152 \| good
2025-11-16T20:00:00.000Z	38 \| good	6.541 \| good	9.767 \| good	24.407 \| good	0.507 \| good	7.535 \| good	0.153 \| good
2025-11-16T21:00:00.000Z	38 \| good	7.013 \| good	10.882 \| good	22.973 \| good	0.5 \| good	7.431 \| good	0.156 \| good
2025-11-16T22:00:00.000Z	44 \| good	7.559 \| good	11.912 \| good	22.587 \| good	0.467 \| good	6.49 \| good	0.156 \| good
2025-11-16T23:00:00.000Z	44 \| good	8.243 \| good	12.013 \| good	22.188 \| good	0.423 \| good	6.008 \| good	0.152 \| good
2025-11-17T00:00:00.000Z	44 \| good	7.903 \| good	11.178 \| good	22.735 \| good	0.387 \| good	5.65 \| good	0.149 \| good
2025-11-17T01:00:00.000Z	44 \| good	8.429 \| good	12.236 \| good	24.704 \| good	0.356 \| good	5.637 \| good	0.148 \| good
2025-11-17T02:00:00.000Z	44 \| good	7.955 \| good	11.79 \| good	24.88 \| good	0.334 \| good	4.911 \| good	0.143 \| good
2025-11-17T03:00:00.000Z	38 \| good	7.36 \| good	9.829 \| good	24.711 \| good	0.332 \| good	4.426 \| good	0.139 \| good
2025-11-17T04:00:00.000Z	38 \| good	6.917 \| good	9.811 \| good	24.356 \| good	0.333 \| good	4.182 \| good	0.135 \| good
2025-11-17T05:00:00.000Z	38 \| good	6.557 \| good	10.045 \| good	24.066 \| good	0.327 \| good	4.133 \| good	0.132 \| good
2025-11-17T06:00:00.000Z	33 \| good	6.273 \| good	9.651 \| good	24.307 \| good	0.322 \| good	3.633 \| good	0.129 \| good
2025-11-17T07:00:00.000Z	33 \| good	5.923 \| good	9.394 \| good	24.752 \| good	0.375 \| good	4.423 \| good	0.128 \| good
2025-11-17T08:00:00.000Z	33 \| good	5.774 \| good	9.565 \| good	23.968 \| good	0.426 \| good	4.868 \| good	0.13 \| good
2025-11-17T09:00:00.000Z	27 \| good	4.935 \| good	9.469 \| good	24.769 \| good	0.436 \| good	4.828 \| good	0.131 \| good
2025-11-17T10:00:00.000Z	26 \| good	4.13 \| good	9.727 \| good	27.976 \| good	0.344 \| good	3.926 \| good	0.13 \| good
2025-11-17T11:00:00.000Z	27 \| good	4.103 \| good	9.27 \| good	29.41 \| good	0.331 \| good	3.458 \| good	0.13 \| good
2025-11-17T12:00:00.000Z	27 \| good	4.408 \| good	9.911 \| good	29.226 \| good	0.312 \| good	3.346 \| good	0.131 \| good
2025-11-17T13:00:00.000Z	27 \| good	4.297 \| good	10.599 \| good	28.819 \| good	0.309 \| good	3.26 \| good	0.133 \| good
2025-11-17T14:00:00.000Z	27 \| good	4.177 \| good	11.296 \| good	29.371 \| good	0.307 \| good	3.569 \| good	0.134 \| good
2025-11-17T15:00:00.000Z	27 \| good	4.241 \| good	11.398 \| good	28.666 \| good	0.319 \| good	4.144 \| good	0.138 \| good
2025-11-17T16:00:00.000Z	27 \| good	4.752 \| good	11.416 \| good	25.379 \| good	0.368 \| good	5.7 \| good	0.142 \| good
2025-11-17T17:00:00.000Z	33 \| good	5.517 \| good	12.814 \| good	22.525 \| good	0.424 \| good	7.542 \| good	0.149 \| good
2025-11-17T18:00:00.000Z	38 \| good	7.05 \| good	13.371 \| good	21.14 \| good	0.467 \| good	8.356 \| good	0.155 \| good

Real-time air quality index in Worcester, Worcestershire today

Common air pollutants in Worcester, Worcestershire

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Worcester, Worcestershire air quality forecast and history

Empower business decisions with accurate air quality data

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

Air quality in nearby cities

Droitwich Spa, Worcestershire

Great Malvern, Worcestershire

StourportonSevern, Worcestershire

Bromsgrove, Worcestershire

Catshill, Worcestershire

Kidderminster, 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 Worcester, Worcestershire updated?

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

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

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

Which pollutant is found most often in Worcester, Worcestershire?

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

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

What are the current PM10 levels at Worcester, Worcestershire?

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

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

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

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

What are the current PM₁₀ levels at Worcester, Worcestershire?

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

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

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