What are the current PM10 levels at Bedworth, Warwickshire?

The current PM10 levels in Bedworth, Warwickshire are 7.941 μg/m3.

What are the current sulfur dioxide (SO2) levels at Bedworth, Warwickshire?

The current sulfur dioxide (SO2) levels in Bedworth, Warwickshire are 0.648 ppb.

What are the current ozone (O3) levels at Bedworth, Warwickshire?

The current ozone (O3) levels at Bedworth, Warwickshire is 26.608 ppm.

What are the current nitrogen dioxide (NO2) levels at Bedworth, Warwickshire?

The current nitrogen dioxide (NO2) levels at Bedworth, Warwickshire is 6.704 ppb.

Real-time air quality index in Bedworth, Warwickshire today

Q: What are the current PM2.5 levels in Bedworth, Warwickshire?

The measured PM2.5 levels in Bedworth, Warwickshire at present are 4 μg/m3.

Stay updated with real-time air quality in Bedworth, Warwickshire 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

Bedworth, Warwickshire

Last updated: ... (Local time)

Common air pollutants in Bedworth, Warwickshire

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

4.00 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

7.94 μg/m³

155

255

425

605+

Ozone (O₃)

26.61 ppb

201

201+

Sulfur Dioxide (SO₂)

0.65 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

6.70 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

1.20 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

Bedworth, Warwickshire

Get Live Pollen Counts

Bedworth, Warwickshire

Scroll To Air Quality Map

Track live Bedworth, Warwickshire air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-11-15T02:00:00.000Z	32 \| good	1.822 \| good	2.822 \| good	35.461 \| good	0.649 \| good	1.897 \| good	0.962 \| good
2025-11-15T03:00:00.000Z	32 \| good	1.598 \| good	2.598 \| good	35.03 \| good	0.691 \| good	2.317 \| good	0.709 \| good
2025-11-15T04:00:00.000Z	31 \| good	1.031 \| good	2 \| good	33.815 \| good	0.691 \| good	2.032 \| good	0.561 \| good
2025-11-15T05:00:00.000Z	30 \| good	1 \| good	2 \| good	32.416 \| good	0.5 \| good	1.83 \| good	0.62 \| good
2025-11-15T06:00:00.000Z	27 \| good	1 \| good	2 \| good	29.222 \| good	0.646 \| good	2.255 \| good	0.074 \| good
2025-11-15T07:00:00.000Z	25 \| good	1 \| good	2 \| good	27.324 \| good	0.657 \| good	2.723 \| good	0.077 \| good
2025-11-15T08:00:00.000Z	24 \| good	1 \| good	2 \| good	25.872 \| good	0.647 \| good	3.858 \| good	0.082 \| good
2025-11-15T09:00:00.000Z	24 \| good	1 \| good	2 \| good	25.598 \| good	0.647 \| good	4.825 \| good	0.071 \| good
2025-11-15T10:00:00.000Z	23 \| good	1.089 \| good	2 \| good	24.608 \| good	0.502 \| good	5.913 \| good	0.064 \| good
2025-11-15T11:00:00.000Z	23 \| good	1.745 \| good	2.655 \| good	24.522 \| good	0.544 \| good	6.556 \| good	0.051 \| good
2025-11-15T12:00:00.000Z	20 \| good	1.745 \| good	2.745 \| good	22.145 \| good	0.503 \| good	6.588 \| good	0.041 \| good
2025-11-15T13:00:00.000Z	19 \| good	1.969 \| good	2.745 \| good	20.129 \| good	0.592 \| good	6.43 \| good	0.032 \| good
2025-11-15T14:00:00.000Z	20 \| good	1.969 \| good	2.745 \| good	21.569 \| good	0.703 \| good	6.921 \| good	0.033 \| good
2025-11-15T15:00:00.000Z	19 \| good	2.058 \| good	3.058 \| good	20.576 \| good	0.651 \| good	7.93 \| good	0.033 \| good
2025-11-15T16:00:00.000Z	19 \| good	2.147 \| good	3.058 \| good	20.177 \| good	0.658 \| good	7.978 \| good	0.068 \| good
2025-11-15T17:00:00.000Z	19 \| good	2.147 \| good	3.624 \| good	19.597 \| good	0.592 \| good	7.885 \| good	0.114 \| good
2025-11-15T18:00:00.000Z	19 \| good	2.178 \| good	3.655 \| good	20.917 \| good	0.64 \| good	7.797 \| good	0.14 \| good
2025-11-15T19:00:00.000Z	19 \| good	2.745 \| good	3.745 \| good	19.868 \| good	0.451 \| good	7.702 \| good	0.143 \| good
2025-11-15T20:00:00.000Z	19 \| good	2.745 \| good	3.745 \| good	20.042 \| good	0.505 \| good	7.027 \| good	0.147 \| good
2025-11-15T21:00:00.000Z	19 \| good	2.745 \| good	3.745 \| good	20.467 \| good	0.644 \| good	7.599 \| good	0.162 \| good
2025-11-15T22:00:00.000Z	20 \| good	2.969 \| good	4.624 \| good	21.568 \| good	0.447 \| good	5.598 \| good	0.202 \| good
2025-11-15T23:00:00.000Z	20 \| good	2.969 \| good	4.655 \| good	22.26 \| good	0.448 \| good	4.402 \| good	0.11 \| good
2025-11-16T00:00:00.000Z	21 \| good	3.089 \| good	4.655 \| good	23.331 \| good	0.448 \| good	4.439 \| good	0.987 \| good
2025-11-16T01:00:00.000Z	22 \| good	3.089 \| good	4.655 \| good	23.687 \| good	0.594 \| good	3.098 \| good	1.098 \| good
2025-11-16T02:00:00.000Z	22 \| good	3.178 \| good	4.745 \| good	23.925 \| good	0.448 \| good	2.868 \| good	0.889 \| good
2025-11-16T03:00:00.000Z	23 \| good	3.745 \| good	4.745 \| good	24.909 \| good	0.668 \| good	2.145 \| good	0.772 \| good
2025-11-16T04:00:00.000Z	24 \| good	3.745 \| good	5.311 \| good	25.757 \| good	0.502 \| good	2.167 \| good	0.562 \| good
2025-11-16T05:00:00.000Z	25 \| good	3.745 \| good	5.311 \| good	26.736 \| good	0.503 \| good	1.495 \| good	0.522 \| good
2025-11-16T06:00:00.000Z	24 \| good	3.745 \| good	5.566 \| good	26.325 \| good	0.592 \| good	1.481 \| good	0.047 \| good
2025-11-16T07:00:00.000Z	25 \| good	3.745 \| good	5.566 \| good	27.195 \| good	0.633 \| good	1.531 \| good	0.059 \| good
2025-11-16T08:00:00.000Z	25 \| good	3.745 \| good	5.655 \| good	27.313 \| good	0.504 \| good	2.244 \| good	0.066 \| good
2025-11-16T09:00:00.000Z	26 \| good	3.745 \| good	5.655 \| good	28.203 \| good	0.588 \| good	2.993 \| good	0.055 \| good
2025-11-16T10:00:00.000Z	25 \| good	3.745 \| good	5.686 \| good	27.441 \| good	0.599 \| good	4.076 \| good	0.054 \| good
2025-11-16T11:00:00.000Z	26 \| good	3.655 \| good	5.686 \| good	27.861 \| good	0.6 \| good	5.382 \| good	0.052 \| good
2025-11-16T12:00:00.000Z	26 \| good	3.655 \| good	5.91 \| good	28.485 \| good	0.59 \| good	4.174 \| good	0.038 \| good
2025-11-16T13:00:00.000Z	26 \| good	3.686 \| good	6.477 \| good	28.18 \| good	0.7 \| good	4.947 \| good	0.034 \| good
2025-11-16T14:00:00.000Z	26 \| good	3.598 \| good	6.508 \| good	28.416 \| good	0.659 \| good	5.111 \| good	0.035 \| good
2025-11-16T15:00:00.000Z	26 \| good	3.686 \| good	6.508 \| good	28.382 \| good	0.66 \| good	4.929 \| good	0.046 \| good
2025-11-16T16:00:00.000Z	27 \| good	3.598 \| good	6.508 \| good	29.235 \| good	0.624 \| good	5.362 \| good	0.104 \| good
2025-11-16T17:00:00.000Z	28 \| good	3.598 \| good	6.598 \| good	29.917 \| good	0.583 \| good	6.066 \| good	0.116 \| good
2025-11-16T18:00:00.000Z	28 \| good	3.686 \| good	6.91 \| good	29.543 \| good	0.581 \| good	6.445 \| good	0.149 \| good
2025-11-16T19:00:00.000Z	28 \| good	3.686 \| good	7.508 \| good	30.313 \| good	0.564 \| good	6.69 \| good	0.14 \| good
2025-11-16T20:00:00.000Z	28 \| good	3.598 \| good	7.508 \| good	30.461 \| good	0.499 \| good	8.794 \| good	0.153 \| good
2025-11-16T21:00:00.000Z	28 \| good	3.686 \| good	7.508 \| good	30.201 \| good	0.634 \| good	12.53 \| good	0.127 \| good
2025-11-16T22:00:00.000Z	27 \| good	3.91 \| good	7.508 \| good	29.22 \| good	0.594 \| good	10.242 \| good	0.158 \| good
2025-11-16T23:00:00.000Z	26 \| good	4 \| good	7.941 \| good	27.617 \| good	0.648 \| good	7.538 \| good	0.137 \| good
2025-11-17T00:00:00.000Z	25 \| good	4 \| good	7.941 \| good	26.608 \| good	0.648 \| good	6.704 \| good	1.203 \| good
2025-11-17T01:00:00.000Z	24 \| good	4 \| good	7.941 \| good	26.176 \| good	0.646 \| good	6.408 \| good	0.918 \| good
2025-11-17T01:00:00.000Z	25 \| good	4 \| good	7.941 \| good	26.608 \| good	0.648 \| good	6.704 \| good	1.203 \| good
2025-11-15T19:00:00.000Z	27 \| good	5.001 \| good	9.886 \| good	22.946 \| good	0.292 \| good	5.739 \| good	0.132 \| good
2025-11-15T20:00:00.000Z	27 \| good	4.91 \| good	10.053 \| good	23.342 \| good	0.302 \| good	5.296 \| good	0.131 \| good
2025-11-15T21:00:00.000Z	22 \| good	4.425 \| good	9.651 \| good	23.489 \| good	0.307 \| good	5.113 \| good	0.13 \| good
2025-11-15T22:00:00.000Z	22 \| good	3.988 \| good	8.401 \| good	24.286 \| good	0.268 \| good	4.602 \| good	0.128 \| good
2025-11-15T23:00:00.000Z	23 \| good	3.372 \| good	7.459 \| good	24.695 \| good	0.237 \| good	4.142 \| good	0.124 \| good
2025-11-16T00:00:00.000Z	23 \| good	2.949 \| good	7.473 \| good	25.027 \| good	0.191 \| good	3.596 \| good	0.123 \| good
2025-11-16T01:00:00.000Z	24 \| good	3.124 \| good	7.902 \| good	25.757 \| good	0.174 \| good	3.007 \| good	0.123 \| good
2025-11-16T02:00:00.000Z	24 \| good	3.91 \| good	9.188 \| good	26.201 \| good	0.153 \| good	2.614 \| good	0.121 \| good
2025-11-16T03:00:00.000Z	24 \| good	4.033 \| good	8.768 \| good	25.762 \| good	0.141 \| good	2.322 \| good	0.12 \| good
2025-11-16T04:00:00.000Z	25 \| good	3.604 \| good	8.394 \| good	26.854 \| good	0.134 \| good	2.102 \| good	0.119 \| good
2025-11-16T05:00:00.000Z	26 \| good	3.191 \| good	8.203 \| good	27.677 \| good	0.142 \| good	1.983 \| good	0.121 \| good
2025-11-16T06:00:00.000Z	26 \| good	3.349 \| good	6.864 \| good	27.639 \| good	0.19 \| good	2.009 \| good	0.121 \| good
2025-11-16T07:00:00.000Z	25 \| good	3.095 \| good	7.037 \| good	27.327 \| good	0.269 \| good	2.508 \| good	0.123 \| good
2025-11-16T08:00:00.000Z	24 \| good	3.247 \| good	7.442 \| good	25.8 \| good	0.355 \| good	3.081 \| good	0.13 \| good
2025-11-16T09:00:00.000Z	25 \| good	3.149 \| good	8.144 \| good	27.029 \| good	0.407 \| good	3.442 \| good	0.135 \| good
2025-11-16T10:00:00.000Z	26 \| good	3.262 \| good	8.176 \| good	27.701 \| good	0.467 \| good	3.74 \| good	0.137 \| good
2025-11-16T11:00:00.000Z	27 \| good	3.218 \| good	7.948 \| good	28.825 \| good	0.47 \| good	3.444 \| good	0.136 \| good
2025-11-16T12:00:00.000Z	31 \| good	2.913 \| good	6.735 \| good	33.031 \| good	0.374 \| good	3.085 \| good	0.13 \| good
2025-11-16T13:00:00.000Z	32 \| good	2.689 \| good	5.89 \| good	34.558 \| good	0.355 \| good	2.939 \| good	0.131 \| good
2025-11-16T14:00:00.000Z	31 \| good	3.008 \| good	6.041 \| good	34.164 \| good	0.348 \| good	2.858 \| good	0.134 \| good
2025-11-16T15:00:00.000Z	31 \| good	3.172 \| good	7.139 \| good	33.314 \| good	0.375 \| good	3.188 \| good	0.138 \| good
2025-11-16T16:00:00.000Z	31 \| good	3.325 \| good	7.385 \| good	32.679 \| good	0.395 \| good	3.897 \| good	0.14 \| good
2025-11-16T17:00:00.000Z	30 \| good	3.509 \| good	7.527 \| good	31.518 \| good	0.434 \| good	4.731 \| good	0.142 \| good
2025-11-16T18:00:00.000Z	27 \| good	4.052 \| good	7.849 \| good	29.386 \| good	0.471 \| good	5.417 \| good	0.151 \| good
2025-11-16T19:00:00.000Z	27 \| good	4.895 \| good	8.461 \| good	25.915 \| good	0.555 \| good	6.91 \| good	0.158 \| good
2025-11-16T20:00:00.000Z	33 \| good	6.253 \| good	10.138 \| good	23.444 \| good	0.618 \| good	8.764 \| good	0.158 \| good
2025-11-16T21:00:00.000Z	38 \| good	7.161 \| good	10.77 \| good	23.697 \| good	0.621 \| good	8.167 \| good	0.156 \| good
2025-11-16T22:00:00.000Z	38 \| good	6.707 \| good	10.774 \| good	22.856 \| good	0.647 \| good	8.013 \| good	0.151 \| good
2025-11-16T23:00:00.000Z	33 \| good	6.049 \| good	9.75 \| good	26.143 \| good	0.627 \| good	6.803 \| good	0.143 \| good
2025-11-17T00:00:00.000Z	27 \| good	5.478 \| good	8.577 \| good	26.832 \| good	0.581 \| good	5.291 \| good	0.14 \| good
2025-11-17T01:00:00.000Z	27 \| good	4.842 \| good	8.834 \| good	28.713 \| good	0.467 \| good	4.123 \| good	0.135 \| good
2025-11-17T02:00:00.000Z	27 \| good	4.306 \| good	8.657 \| good	28.851 \| good	0.374 \| good	3.586 \| good	0.129 \| good
2025-11-17T03:00:00.000Z	27 \| good	4.054 \| good	7.239 \| good	28.916 \| good	0.314 \| good	3.257 \| good	0.124 \| good
2025-11-17T04:00:00.000Z	27 \| good	3.328 \| good	6.948 \| good	29.373 \| good	0.271 \| good	2.744 \| good	0.122 \| good
2025-11-17T05:00:00.000Z	27 \| good	3.258 \| good	6.768 \| good	29.078 \| good	0.273 \| good	2.5 \| good	0.122 \| good
2025-11-17T06:00:00.000Z	27 \| good	3.411 \| good	6.765 \| good	28.917 \| good	0.299 \| good	2.904 \| good	0.122 \| good
2025-11-17T07:00:00.000Z	27 \| good	3.705 \| good	7.489 \| good	28.619 \| good	0.378 \| good	3.78 \| good	0.124 \| good
2025-11-17T08:00:00.000Z	26 \| good	3.887 \| good	8.77 \| good	27.562 \| good	0.479 \| good	5.396 \| good	0.13 \| good
2025-11-17T09:00:00.000Z	25 \| good	4.107 \| good	8.758 \| good	27.21 \| good	0.492 \| good	5.506 \| good	0.133 \| good
2025-11-17T10:00:00.000Z	28 \| good	3.827 \| good	8.917 \| good	29.709 \| good	0.419 \| good	4.661 \| good	0.133 \| good
2025-11-17T11:00:00.000Z	29 \| good	3.484 \| good	10.135 \| good	30.594 \| good	0.368 \| good	3.524 \| good	0.133 \| good
2025-11-17T12:00:00.000Z	31 \| good	3.605 \| good	10.503 \| good	32.565 \| good	0.347 \| good	2.941 \| good	0.133 \| good
2025-11-17T13:00:00.000Z	31 \| good	3.916 \| good	10.721 \| good	32.805 \| good	0.335 \| good	3.267 \| good	0.135 \| good
2025-11-17T14:00:00.000Z	30 \| good	4.129 \| good	10.578 \| good	31.946 \| good	0.346 \| good	3.808 \| good	0.139 \| good
2025-11-17T15:00:00.000Z	28 \| good	4.533 \| good	11.603 \| good	30.188 \| good	0.401 \| good	5.206 \| good	0.145 \| good
2025-11-17T16:00:00.000Z	27 \| good	5.055 \| good	13.316 \| good	26.137 \| good	0.455 \| good	7.515 \| good	0.152 \| good
2025-11-17T17:00:00.000Z	33 \| good	6.239 \| good	14.971 \| good	19.841 \| good	0.606 \| good	11.402 \| good	0.165 \| good
2025-11-17T18:00:00.000Z	44 \| good	8 \| good	16.643 \| good	14.127 \| good	0.738 \| good	15.154 \| good	0.177 \| good

Bedworth

Empower business decisions with accurate air quality data

Bedworth, Warwickshire air quality map: Real-time AQI near you

1.20ppm

How accurate is Warwickshire, UK air quality data?

Air quality measurements for Warwickshire, 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 Bedworth, Warwickshire updated?

Air quality data for Bedworth, Warwickshire is updated on an hourly basis.

When did Bedworth, Warwickshire experience the worst air quality in the last 24 hours?

The worst air quality in Bedworth, Warwickshire was recorded at 09:00:00 on 2025-11-16.

When did Bedworth, Warwickshire have its best air quality in the last 24 hours?

The best air quality in Bedworth, Warwickshire was recorded at 02:00:00 on 2025-11-16.

What is the real-time air quality index for Bedworth, Warwickshire?

The real-time air quality index in Bedworth, Warwickshire is 25, currently categorized as Good.

Which pollutant is found most often in Bedworth, Warwickshire?

The most common pollutant in Bedworth, Warwickshire is O3.

What can I do if the air quality in Bedworth, Warwickshire is poor?

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

What are the current PM_2.5 levels in Bedworth, Warwickshire?

The measured PM_2.5 levels in Bedworth, Warwickshire at present are 4 μg/m³.

What are the current PM₁₀ levels at Bedworth, Warwickshire?

The current PM₁₀ levels in Bedworth, Warwickshire are 7.941 μg/m³.

What are the current carbon monoxide (CO) levels at Bedworth, Warwickshire?

The current carbon monoxide (CO) level in Bedworth, Warwickshire is 1.203 ppm.

What are the current sulfur dioxide (SO₂) levels at Bedworth, Warwickshire?

The current sulfur dioxide (SO₂) levels in Bedworth, Warwickshire are 0.648 ppb.

What are the current ozone (O₃) levels at Bedworth, Warwickshire?

The current ozone (O₃) levels at Bedworth, Warwickshire is 26.608 ppm.

What are the current nitrogen dioxide (NO₂) levels at Bedworth, Warwickshire?

The current nitrogen dioxide (NO₂) levels at Bedworth, Warwickshire is 6.704 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-11-15T02:00:00.000Z	32 \| good	1.822 \| good	2.822 \| good	35.461 \| good	0.649 \| good	1.897 \| good	0.962 \| good
2025-11-15T03:00:00.000Z	32 \| good	1.598 \| good	2.598 \| good	35.03 \| good	0.691 \| good	2.317 \| good	0.709 \| good
2025-11-15T04:00:00.000Z	31 \| good	1.031 \| good	2 \| good	33.815 \| good	0.691 \| good	2.032 \| good	0.561 \| good
2025-11-15T05:00:00.000Z	30 \| good	1 \| good	2 \| good	32.416 \| good	0.5 \| good	1.83 \| good	0.62 \| good
2025-11-15T06:00:00.000Z	27 \| good	1 \| good	2 \| good	29.222 \| good	0.646 \| good	2.255 \| good	0.074 \| good
2025-11-15T07:00:00.000Z	25 \| good	1 \| good	2 \| good	27.324 \| good	0.657 \| good	2.723 \| good	0.077 \| good
2025-11-15T08:00:00.000Z	24 \| good	1 \| good	2 \| good	25.872 \| good	0.647 \| good	3.858 \| good	0.082 \| good
2025-11-15T09:00:00.000Z	24 \| good	1 \| good	2 \| good	25.598 \| good	0.647 \| good	4.825 \| good	0.071 \| good
2025-11-15T10:00:00.000Z	23 \| good	1.089 \| good	2 \| good	24.608 \| good	0.502 \| good	5.913 \| good	0.064 \| good
2025-11-15T11:00:00.000Z	23 \| good	1.745 \| good	2.655 \| good	24.522 \| good	0.544 \| good	6.556 \| good	0.051 \| good
2025-11-15T12:00:00.000Z	20 \| good	1.745 \| good	2.745 \| good	22.145 \| good	0.503 \| good	6.588 \| good	0.041 \| good
2025-11-15T13:00:00.000Z	19 \| good	1.969 \| good	2.745 \| good	20.129 \| good	0.592 \| good	6.43 \| good	0.032 \| good
2025-11-15T14:00:00.000Z	20 \| good	1.969 \| good	2.745 \| good	21.569 \| good	0.703 \| good	6.921 \| good	0.033 \| good
2025-11-15T15:00:00.000Z	19 \| good	2.058 \| good	3.058 \| good	20.576 \| good	0.651 \| good	7.93 \| good	0.033 \| good
2025-11-15T16:00:00.000Z	19 \| good	2.147 \| good	3.058 \| good	20.177 \| good	0.658 \| good	7.978 \| good	0.068 \| good
2025-11-15T17:00:00.000Z	19 \| good	2.147 \| good	3.624 \| good	19.597 \| good	0.592 \| good	7.885 \| good	0.114 \| good
2025-11-15T18:00:00.000Z	19 \| good	2.178 \| good	3.655 \| good	20.917 \| good	0.64 \| good	7.797 \| good	0.14 \| good
2025-11-15T19:00:00.000Z	19 \| good	2.745 \| good	3.745 \| good	19.868 \| good	0.451 \| good	7.702 \| good	0.143 \| good
2025-11-15T20:00:00.000Z	19 \| good	2.745 \| good	3.745 \| good	20.042 \| good	0.505 \| good	7.027 \| good	0.147 \| good
2025-11-15T21:00:00.000Z	19 \| good	2.745 \| good	3.745 \| good	20.467 \| good	0.644 \| good	7.599 \| good	0.162 \| good
2025-11-15T22:00:00.000Z	20 \| good	2.969 \| good	4.624 \| good	21.568 \| good	0.447 \| good	5.598 \| good	0.202 \| good
2025-11-15T23:00:00.000Z	20 \| good	2.969 \| good	4.655 \| good	22.26 \| good	0.448 \| good	4.402 \| good	0.11 \| good
2025-11-16T00:00:00.000Z	21 \| good	3.089 \| good	4.655 \| good	23.331 \| good	0.448 \| good	4.439 \| good	0.987 \| good
2025-11-16T01:00:00.000Z	22 \| good	3.089 \| good	4.655 \| good	23.687 \| good	0.594 \| good	3.098 \| good	1.098 \| good
2025-11-16T02:00:00.000Z	22 \| good	3.178 \| good	4.745 \| good	23.925 \| good	0.448 \| good	2.868 \| good	0.889 \| good
2025-11-16T03:00:00.000Z	23 \| good	3.745 \| good	4.745 \| good	24.909 \| good	0.668 \| good	2.145 \| good	0.772 \| good
2025-11-16T04:00:00.000Z	24 \| good	3.745 \| good	5.311 \| good	25.757 \| good	0.502 \| good	2.167 \| good	0.562 \| good
2025-11-16T05:00:00.000Z	25 \| good	3.745 \| good	5.311 \| good	26.736 \| good	0.503 \| good	1.495 \| good	0.522 \| good
2025-11-16T06:00:00.000Z	24 \| good	3.745 \| good	5.566 \| good	26.325 \| good	0.592 \| good	1.481 \| good	0.047 \| good
2025-11-16T07:00:00.000Z	25 \| good	3.745 \| good	5.566 \| good	27.195 \| good	0.633 \| good	1.531 \| good	0.059 \| good
2025-11-16T08:00:00.000Z	25 \| good	3.745 \| good	5.655 \| good	27.313 \| good	0.504 \| good	2.244 \| good	0.066 \| good
2025-11-16T09:00:00.000Z	26 \| good	3.745 \| good	5.655 \| good	28.203 \| good	0.588 \| good	2.993 \| good	0.055 \| good
2025-11-16T10:00:00.000Z	25 \| good	3.745 \| good	5.686 \| good	27.441 \| good	0.599 \| good	4.076 \| good	0.054 \| good
2025-11-16T11:00:00.000Z	26 \| good	3.655 \| good	5.686 \| good	27.861 \| good	0.6 \| good	5.382 \| good	0.052 \| good
2025-11-16T12:00:00.000Z	26 \| good	3.655 \| good	5.91 \| good	28.485 \| good	0.59 \| good	4.174 \| good	0.038 \| good
2025-11-16T13:00:00.000Z	26 \| good	3.686 \| good	6.477 \| good	28.18 \| good	0.7 \| good	4.947 \| good	0.034 \| good
2025-11-16T14:00:00.000Z	26 \| good	3.598 \| good	6.508 \| good	28.416 \| good	0.659 \| good	5.111 \| good	0.035 \| good
2025-11-16T15:00:00.000Z	26 \| good	3.686 \| good	6.508 \| good	28.382 \| good	0.66 \| good	4.929 \| good	0.046 \| good
2025-11-16T16:00:00.000Z	27 \| good	3.598 \| good	6.508 \| good	29.235 \| good	0.624 \| good	5.362 \| good	0.104 \| good
2025-11-16T17:00:00.000Z	28 \| good	3.598 \| good	6.598 \| good	29.917 \| good	0.583 \| good	6.066 \| good	0.116 \| good
2025-11-16T18:00:00.000Z	28 \| good	3.686 \| good	6.91 \| good	29.543 \| good	0.581 \| good	6.445 \| good	0.149 \| good
2025-11-16T19:00:00.000Z	28 \| good	3.686 \| good	7.508 \| good	30.313 \| good	0.564 \| good	6.69 \| good	0.14 \| good
2025-11-16T20:00:00.000Z	28 \| good	3.598 \| good	7.508 \| good	30.461 \| good	0.499 \| good	8.794 \| good	0.153 \| good
2025-11-16T21:00:00.000Z	28 \| good	3.686 \| good	7.508 \| good	30.201 \| good	0.634 \| good	12.53 \| good	0.127 \| good
2025-11-16T22:00:00.000Z	27 \| good	3.91 \| good	7.508 \| good	29.22 \| good	0.594 \| good	10.242 \| good	0.158 \| good
2025-11-16T23:00:00.000Z	26 \| good	4 \| good	7.941 \| good	27.617 \| good	0.648 \| good	7.538 \| good	0.137 \| good
2025-11-17T00:00:00.000Z	25 \| good	4 \| good	7.941 \| good	26.608 \| good	0.648 \| good	6.704 \| good	1.203 \| good
2025-11-17T01:00:00.000Z	24 \| good	4 \| good	7.941 \| good	26.176 \| good	0.646 \| good	6.408 \| good	0.918 \| good
2025-11-17T01:00:00.000Z	25 \| good	4 \| good	7.941 \| good	26.608 \| good	0.648 \| good	6.704 \| good	1.203 \| good
2025-11-15T19:00:00.000Z	27 \| good	5.001 \| good	9.886 \| good	22.946 \| good	0.292 \| good	5.739 \| good	0.132 \| good
2025-11-15T20:00:00.000Z	27 \| good	4.91 \| good	10.053 \| good	23.342 \| good	0.302 \| good	5.296 \| good	0.131 \| good
2025-11-15T21:00:00.000Z	22 \| good	4.425 \| good	9.651 \| good	23.489 \| good	0.307 \| good	5.113 \| good	0.13 \| good
2025-11-15T22:00:00.000Z	22 \| good	3.988 \| good	8.401 \| good	24.286 \| good	0.268 \| good	4.602 \| good	0.128 \| good
2025-11-15T23:00:00.000Z	23 \| good	3.372 \| good	7.459 \| good	24.695 \| good	0.237 \| good	4.142 \| good	0.124 \| good
2025-11-16T00:00:00.000Z	23 \| good	2.949 \| good	7.473 \| good	25.027 \| good	0.191 \| good	3.596 \| good	0.123 \| good
2025-11-16T01:00:00.000Z	24 \| good	3.124 \| good	7.902 \| good	25.757 \| good	0.174 \| good	3.007 \| good	0.123 \| good
2025-11-16T02:00:00.000Z	24 \| good	3.91 \| good	9.188 \| good	26.201 \| good	0.153 \| good	2.614 \| good	0.121 \| good
2025-11-16T03:00:00.000Z	24 \| good	4.033 \| good	8.768 \| good	25.762 \| good	0.141 \| good	2.322 \| good	0.12 \| good
2025-11-16T04:00:00.000Z	25 \| good	3.604 \| good	8.394 \| good	26.854 \| good	0.134 \| good	2.102 \| good	0.119 \| good
2025-11-16T05:00:00.000Z	26 \| good	3.191 \| good	8.203 \| good	27.677 \| good	0.142 \| good	1.983 \| good	0.121 \| good
2025-11-16T06:00:00.000Z	26 \| good	3.349 \| good	6.864 \| good	27.639 \| good	0.19 \| good	2.009 \| good	0.121 \| good
2025-11-16T07:00:00.000Z	25 \| good	3.095 \| good	7.037 \| good	27.327 \| good	0.269 \| good	2.508 \| good	0.123 \| good
2025-11-16T08:00:00.000Z	24 \| good	3.247 \| good	7.442 \| good	25.8 \| good	0.355 \| good	3.081 \| good	0.13 \| good
2025-11-16T09:00:00.000Z	25 \| good	3.149 \| good	8.144 \| good	27.029 \| good	0.407 \| good	3.442 \| good	0.135 \| good
2025-11-16T10:00:00.000Z	26 \| good	3.262 \| good	8.176 \| good	27.701 \| good	0.467 \| good	3.74 \| good	0.137 \| good
2025-11-16T11:00:00.000Z	27 \| good	3.218 \| good	7.948 \| good	28.825 \| good	0.47 \| good	3.444 \| good	0.136 \| good
2025-11-16T12:00:00.000Z	31 \| good	2.913 \| good	6.735 \| good	33.031 \| good	0.374 \| good	3.085 \| good	0.13 \| good
2025-11-16T13:00:00.000Z	32 \| good	2.689 \| good	5.89 \| good	34.558 \| good	0.355 \| good	2.939 \| good	0.131 \| good
2025-11-16T14:00:00.000Z	31 \| good	3.008 \| good	6.041 \| good	34.164 \| good	0.348 \| good	2.858 \| good	0.134 \| good
2025-11-16T15:00:00.000Z	31 \| good	3.172 \| good	7.139 \| good	33.314 \| good	0.375 \| good	3.188 \| good	0.138 \| good
2025-11-16T16:00:00.000Z	31 \| good	3.325 \| good	7.385 \| good	32.679 \| good	0.395 \| good	3.897 \| good	0.14 \| good
2025-11-16T17:00:00.000Z	30 \| good	3.509 \| good	7.527 \| good	31.518 \| good	0.434 \| good	4.731 \| good	0.142 \| good
2025-11-16T18:00:00.000Z	27 \| good	4.052 \| good	7.849 \| good	29.386 \| good	0.471 \| good	5.417 \| good	0.151 \| good
2025-11-16T19:00:00.000Z	27 \| good	4.895 \| good	8.461 \| good	25.915 \| good	0.555 \| good	6.91 \| good	0.158 \| good
2025-11-16T20:00:00.000Z	33 \| good	6.253 \| good	10.138 \| good	23.444 \| good	0.618 \| good	8.764 \| good	0.158 \| good
2025-11-16T21:00:00.000Z	38 \| good	7.161 \| good	10.77 \| good	23.697 \| good	0.621 \| good	8.167 \| good	0.156 \| good
2025-11-16T22:00:00.000Z	38 \| good	6.707 \| good	10.774 \| good	22.856 \| good	0.647 \| good	8.013 \| good	0.151 \| good
2025-11-16T23:00:00.000Z	33 \| good	6.049 \| good	9.75 \| good	26.143 \| good	0.627 \| good	6.803 \| good	0.143 \| good
2025-11-17T00:00:00.000Z	27 \| good	5.478 \| good	8.577 \| good	26.832 \| good	0.581 \| good	5.291 \| good	0.14 \| good
2025-11-17T01:00:00.000Z	27 \| good	4.842 \| good	8.834 \| good	28.713 \| good	0.467 \| good	4.123 \| good	0.135 \| good
2025-11-17T02:00:00.000Z	27 \| good	4.306 \| good	8.657 \| good	28.851 \| good	0.374 \| good	3.586 \| good	0.129 \| good
2025-11-17T03:00:00.000Z	27 \| good	4.054 \| good	7.239 \| good	28.916 \| good	0.314 \| good	3.257 \| good	0.124 \| good
2025-11-17T04:00:00.000Z	27 \| good	3.328 \| good	6.948 \| good	29.373 \| good	0.271 \| good	2.744 \| good	0.122 \| good
2025-11-17T05:00:00.000Z	27 \| good	3.258 \| good	6.768 \| good	29.078 \| good	0.273 \| good	2.5 \| good	0.122 \| good
2025-11-17T06:00:00.000Z	27 \| good	3.411 \| good	6.765 \| good	28.917 \| good	0.299 \| good	2.904 \| good	0.122 \| good
2025-11-17T07:00:00.000Z	27 \| good	3.705 \| good	7.489 \| good	28.619 \| good	0.378 \| good	3.78 \| good	0.124 \| good
2025-11-17T08:00:00.000Z	26 \| good	3.887 \| good	8.77 \| good	27.562 \| good	0.479 \| good	5.396 \| good	0.13 \| good
2025-11-17T09:00:00.000Z	25 \| good	4.107 \| good	8.758 \| good	27.21 \| good	0.492 \| good	5.506 \| good	0.133 \| good
2025-11-17T10:00:00.000Z	28 \| good	3.827 \| good	8.917 \| good	29.709 \| good	0.419 \| good	4.661 \| good	0.133 \| good
2025-11-17T11:00:00.000Z	29 \| good	3.484 \| good	10.135 \| good	30.594 \| good	0.368 \| good	3.524 \| good	0.133 \| good
2025-11-17T12:00:00.000Z	31 \| good	3.605 \| good	10.503 \| good	32.565 \| good	0.347 \| good	2.941 \| good	0.133 \| good
2025-11-17T13:00:00.000Z	31 \| good	3.916 \| good	10.721 \| good	32.805 \| good	0.335 \| good	3.267 \| good	0.135 \| good
2025-11-17T14:00:00.000Z	30 \| good	4.129 \| good	10.578 \| good	31.946 \| good	0.346 \| good	3.808 \| good	0.139 \| good
2025-11-17T15:00:00.000Z	28 \| good	4.533 \| good	11.603 \| good	30.188 \| good	0.401 \| good	5.206 \| good	0.145 \| good
2025-11-17T16:00:00.000Z	27 \| good	5.055 \| good	13.316 \| good	26.137 \| good	0.455 \| good	7.515 \| good	0.152 \| good
2025-11-17T17:00:00.000Z	33 \| good	6.239 \| good	14.971 \| good	19.841 \| good	0.606 \| good	11.402 \| good	0.165 \| good
2025-11-17T18:00:00.000Z	44 \| good	8 \| good	16.643 \| good	14.127 \| good	0.738 \| good	15.154 \| good	0.177 \| good

Real-time air quality index in Bedworth, Warwickshire today

Common air pollutants in Bedworth, Warwickshire

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Bedworth, Warwickshire air quality forecast and history

Empower business decisions with accurate air quality data

Bedworth, Warwickshire air quality map: Real-time AQI near you

Air quality in nearby cities

Nuneaton, Warwickshire

Coventry, West Midlands

Hinckley, Leicestershire

Earl Shilton, Leicestershire

Kenilworth, Warwickshire

Lutterworth, Leicestershire

How accurate is Warwickshire, UK air quality data?

Air quality levels in UK

Frequently asked questions

How frequently is the air quality data for Bedworth, Warwickshire updated?

When did Bedworth, Warwickshire experience the worst air quality in the last 24 hours?

When did Bedworth, Warwickshire have its best air quality in the last 24 hours?

What is the real-time air quality index for Bedworth, Warwickshire?

Which pollutant is found most often in Bedworth, Warwickshire?

What can I do if the air quality in Bedworth, Warwickshire is poor?

What are the current PM2.5 levels in Bedworth, Warwickshire?

What are the current PM10 levels at Bedworth, Warwickshire?

What are the current carbon monoxide (CO) levels at Bedworth, Warwickshire?

What are the current sulfur dioxide (SO2) levels at Bedworth, Warwickshire?

What are the current ozone (O3) levels at Bedworth, Warwickshire?

What are the current nitrogen dioxide (NO2) levels at Bedworth, Warwickshire?

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 Bedworth, Warwickshire?

What are the current PM₁₀ levels at Bedworth, Warwickshire?

What are the current sulfur dioxide (SO₂) levels at Bedworth, Warwickshire?

What are the current ozone (O₃) levels at Bedworth, Warwickshire?

What are the current nitrogen dioxide (NO₂) levels at Bedworth, Warwickshire?