What are the current PM10 levels at Birstall, Leicestershire?

The current PM10 levels in Birstall, Leicestershire are 10.861 μg/m3.

What are the current sulfur dioxide (SO2) levels at Birstall, Leicestershire?

The current sulfur dioxide (SO2) levels in Birstall, Leicestershire are 0.487 ppb.

What are the current ozone (O3) levels at Birstall, Leicestershire?

The current ozone (O3) levels at Birstall, Leicestershire is 22.48 ppm.

What are the current nitrogen dioxide (NO2) levels at Birstall, Leicestershire?

The current nitrogen dioxide (NO2) levels at Birstall, Leicestershire is 11.67 ppb.

Real-time air quality index in Birstall, Leicestershire today

Q: What are the current PM2.5 levels in Birstall, Leicestershire?

The measured PM2.5 levels in Birstall, Leicestershire at present are 5.014 μg/m3.

Stay updated with real-time air quality in Birstall, Leicestershire 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

Birstall, Leicestershire

Last updated: ... (Local time)

Common air pollutants in Birstall, Leicestershire

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

5.01 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

10.86 μg/m³

155

255

425

605+

Ozone (O₃)

22.48 ppb

201

201+

Sulfur Dioxide (SO₂)

0.49 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

11.67 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.03 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

Birstall, Leicestershire

Get Live Pollen Counts

Birstall, Leicestershire

Scroll To Air Quality Map

Track live Birstall, Leicestershire air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-11-15T17:00:00.000Z	19 \| good	1.734 \| good	2.808 \| good	21.467 \| good	0.56 \| good	8.355 \| good	0.108 \| good
2025-11-15T18:00:00.000Z	19 \| good	2.01 \| good	3.085 \| good	21.475 \| good	0.638 \| good	7.819 \| good	0.133 \| good
2025-11-15T19:00:00.000Z	19 \| good	2.014 \| good	3.098 \| good	20.936 \| good	0.47 \| good	7.869 \| good	0.136 \| good
2025-11-15T20:00:00.000Z	19 \| good	2.017 \| good	3.822 \| good	20.933 \| good	0.468 \| good	11.229 \| good	0.14 \| good
2025-11-15T21:00:00.000Z	19 \| good	2.017 \| good	3.822 \| good	20.455 \| good	0.559 \| good	7.988 \| good	0.154 \| good
2025-11-15T22:00:00.000Z	19 \| good	2.017 \| good	3.828 \| good	20.966 \| good	0.463 \| good	6.251 \| good	0.192 \| good
2025-11-15T23:00:00.000Z	19 \| good	2.023 \| good	4.105 \| good	21.466 \| good	0.462 \| good	6.389 \| good	0.105 \| good
2025-11-16T00:00:00.000Z	20 \| good	2.3 \| good	4.105 \| good	21.97 \| good	0.462 \| good	5.171 \| good	0.987 \| good
2025-11-16T01:00:00.000Z	20 \| good	2.3 \| good	4.105 \| good	22.474 \| good	0.559 \| good	5.019 \| good	1.101 \| good
2025-11-16T02:00:00.000Z	21 \| good	3.01 \| good	4.105 \| good	22.987 \| good	0.462 \| good	3.725 \| good	0.89 \| good
2025-11-16T03:00:00.000Z	22 \| good	3.014 \| good	4.118 \| good	23.518 \| good	0.569 \| good	3.344 \| good	0.773 \| good
2025-11-16T04:00:00.000Z	23 \| good	3.014 \| good	4.835 \| good	24.531 \| good	0.462 \| good	3.6 \| good	0.563 \| good
2025-11-16T05:00:00.000Z	24 \| good	3.014 \| good	4.835 \| good	25.537 \| good	0.463 \| good	2.56 \| good	0.523 \| good
2025-11-16T06:00:00.000Z	24 \| good	3.014 \| good	5.111 \| good	26.037 \| good	0.559 \| good	2.478 \| good	0.045 \| good
2025-11-16T07:00:00.000Z	25 \| good	3.017 \| good	5.125 \| good	27.06 \| good	0.62 \| good	3.301 \| good	0.056 \| good
2025-11-16T08:00:00.000Z	25 \| good	3.014 \| good	5.118 \| good	27.062 \| good	0.462 \| good	8.433 \| good	0.063 \| good
2025-11-16T09:00:00.000Z	25 \| good	3.014 \| good	5.118 \| good	27.071 \| good	0.558 \| good	10.091 \| good	0.052 \| good
2025-11-16T10:00:00.000Z	24 \| good	3.02 \| good	6.104 \| good	26.057 \| good	0.568 \| good	12.127 \| good	0.052 \| good
2025-11-16T11:00:00.000Z	24 \| good	3.02 \| good	6.104 \| good	25.552 \| good	0.566 \| good	10.175 \| good	0.049 \| good
2025-11-16T12:00:00.000Z	23 \| good	3.02 \| good	6.104 \| good	25.043 \| good	0.555 \| good	10.72 \| good	0.037 \| good
2025-11-16T13:00:00.000Z	23 \| good	3.297 \| good	6.111 \| good	25.066 \| good	0.695 \| good	11.227 \| good	0.032 \| good
2025-11-16T14:00:00.000Z	23 \| good	3.297 \| good	7.098 \| good	24.576 \| good	0.633 \| good	11.769 \| good	0.033 \| good
2025-11-16T15:00:00.000Z	23 \| good	3.297 \| good	7.098 \| good	24.561 \| good	0.638 \| good	11.022 \| good	0.044 \| good
2025-11-16T16:00:00.000Z	23 \| good	4.007 \| good	7.098 \| good	25.067 \| good	0.543 \| good	11.33 \| good	0.099 \| good
2025-11-16T17:00:00.000Z	24 \| good	4.007 \| good	7.098 \| good	25.575 \| good	0.48 \| good	16.54 \| good	0.11 \| good
2025-11-16T18:00:00.000Z	25 \| good	4.01 \| good	7.124 \| good	26.581 \| good	0.481 \| good	17.297 \| good	0.142 \| good
2025-11-16T19:00:00.000Z	24 \| good	4.01 \| good	8.111 \| good	26.075 \| good	0.538 \| good	20.247 \| good	0.133 \| good
2025-11-16T20:00:00.000Z	24 \| good	4.01 \| good	8.111 \| good	26.073 \| good	0.455 \| good	19.579 \| good	0.145 \| good
2025-11-16T21:00:00.000Z	23 \| good	4.014 \| good	8.131 \| good	25.037 \| good	0.611 \| good	21.843 \| good	0.116 \| good
2025-11-16T22:00:00.000Z	22 \| good	4.017 \| good	8.854 \| good	24.021 \| good	0.552 \| good	16.669 \| good	0.15 \| good
2025-11-16T23:00:00.000Z	22 \| good	4.017 \| good	9.131 \| good	22.508 \| good	0.552 \| good	19.77 \| good	0.13 \| good
2025-11-17T00:00:00.000Z	27 \| good	4.734 \| good	9.131 \| good	20.973 \| good	0.554 \| good	17.882 \| good	1.203 \| good
2025-11-17T01:00:00.000Z	27 \| good	4.734 \| good	9.131 \| good	20.458 \| good	0.554 \| good	10.822 \| good	0.918 \| good
2025-11-17T02:00:00.000Z	27 \| good	4.734 \| good	9.841 \| good	19.968 \| good	0.554 \| good	8.379 \| good	0.77 \| good
2025-11-17T03:00:00.000Z	27 \| good	4.734 \| good	9.841 \| good	20.983 \| good	0.52 \| good	4.24 \| good	0.533 \| good
2025-11-17T04:00:00.000Z	27 \| good	4.734 \| good	9.841 \| good	22.001 \| good	0.463 \| good	3.036 \| good	0.427 \| good
2025-11-17T05:00:00.000Z	27 \| good	5.01 \| good	9.841 \| good	23.52 \| good	0.467 \| good	3.033 \| good	0.331 \| good
2025-11-17T06:00:00.000Z	27 \| good	5.01 \| good	10.118 \| good	24.515 \| good	0.382 \| good	3.935 \| good	0.03 \| good
2025-11-17T07:00:00.000Z	27 \| good	5.01 \| good	10.118 \| good	25.543 \| good	0.382 \| good	5.766 \| good	0.038 \| good
2025-11-17T08:00:00.000Z	27 \| good	5.01 \| good	9.848 \| good	26.031 \| good	0.44 \| good	9.429 \| good	0.047 \| good
2025-11-17T09:00:00.000Z	27 \| good	5.01 \| good	10.124 \| good	25.54 \| good	0.516 \| good	17.644 \| good	0.031 \| good
2025-11-17T10:00:00.000Z	27 \| good	5.01 \| good	10.124 \| good	25.03 \| good	0.463 \| good	20.06 \| good	0.036 \| good
2025-11-17T11:00:00.000Z	27 \| good	5.01 \| good	10.124 \| good	24.004 \| good	0.717 \| good	19.522 \| good	0.036 \| good
2025-11-17T12:00:00.000Z	27 \| good	5.01 \| good	10.124 \| good	22.987 \| good	0.712 \| good	12.498 \| good	0.032 \| good
2025-11-17T13:00:00.000Z	27 \| good	5.014 \| good	10.145 \| good	22.482 \| good	0.555 \| good	14.104 \| good	0.024 \| good
2025-11-17T14:00:00.000Z	27 \| good	5.014 \| good	10.855 \| good	22.472 \| good	0.478 \| good	13.675 \| good	0.023 \| good
2025-11-17T15:00:00.000Z	27 \| good	5.014 \| good	10.861 \| good	22.48 \| good	0.487 \| good	11.67 \| good	0.026 \| good
2025-11-17T16:00:00.000Z	27 \| good	5.014 \| good	10.861 \| good	22.48 \| good	0.487 \| good	11.67 \| good	0.026 \| good
2025-11-17T17:00:00.000Z	38 \| good	6.517 \| good	15.792 \| good	21.846 \| good	0.599 \| good	12.354 \| good	0.169 \| good
2025-11-17T18:00:00.000Z	44 \| good	8.193 \| good	17.61 \| good	15.059 \| good	0.774 \| good	16.057 \| good	0.181 \| good
2025-11-17T19:00:00.000Z	52 \| moderate	10.184 \| good	18.89 \| good	10.285 \| good	0.902 \| good	18.376 \| good	0.194 \| good
2025-11-17T20:00:00.000Z	56 \| moderate	11.554 \| good	19.535 \| good	8.876 \| good	0.906 \| good	18.662 \| good	0.19 \| good
2025-11-17T21:00:00.000Z	56 \| moderate	12.445 \| fine	19.883 \| good	9.193 \| good	0.892 \| good	18.221 \| good	0.188 \| good
2025-11-17T22:00:00.000Z	58 \| moderate	12.687 \| fine	19.517 \| good	10.093 \| good	0.907 \| good	17.227 \| good	0.19 \| good
2025-11-17T23:00:00.000Z	58 \| moderate	12.954 \| fine	20.884 \| good	10.815 \| good	0.865 \| good	16.645 \| good	0.194 \| good
2025-11-18T00:00:00.000Z	58 \| moderate	13.336 \| fine	20.631 \| good	11.109 \| good	0.728 \| good	14.613 \| good	0.19 \| good
2025-11-18T01:00:00.000Z	56 \| moderate	11.951 \| good	18.091 \| good	12.906 \| good	0.69 \| good	12.521 \| good	0.18 \| good
2025-11-18T02:00:00.000Z	54 \| moderate	10.836 \| good	15.542 \| good	15.071 \| good	0.552 \| good	12.07 \| good	0.169 \| good
2025-11-18T03:00:00.000Z	52 \| moderate	9.855 \| good	14.259 \| good	17.536 \| good	0.446 \| good	9.752 \| good	0.161 \| good
2025-11-18T04:00:00.000Z	49 \| good	8.616 \| good	12.354 \| good	21.581 \| good	0.442 \| good	7.846 \| good	0.156 \| good
2025-11-18T05:00:00.000Z	38 \| good	7.386 \| good	11.78 \| good	21.847 \| good	0.504 \| good	6.393 \| good	0.148 \| good
2025-11-18T06:00:00.000Z	38 \| good	7.02 \| good	11.907 \| good	20.786 \| good	0.522 \| good	6.638 \| good	0.14 \| good
2025-11-18T07:00:00.000Z	38 \| good	7.221 \| good	11.77 \| good	18.653 \| good	0.57 \| good	8.26 \| good	0.146 \| good
2025-11-18T08:00:00.000Z	38 \| good	7.278 \| good	11.8 \| good	15.643 \| good	0.638 \| good	10.388 \| good	0.152 \| good
2025-11-18T09:00:00.000Z	44 \| good	7.657 \| good	12.336 \| good	15.405 \| good	0.67 \| good	11.379 \| good	0.157 \| good
2025-11-18T10:00:00.000Z	38 \| good	6.678 \| good	11.765 \| good	19.938 \| good	0.626 \| good	9.731 \| good	0.153 \| good
2025-11-18T11:00:00.000Z	33 \| good	5.887 \| good	11.284 \| good	23.511 \| good	0.585 \| good	9.231 \| good	0.15 \| good
2025-11-18T12:00:00.000Z	27 \| good	5.073 \| good	9.13 \| good	25.688 \| good	0.461 \| good	7.677 \| good	0.144 \| good
2025-11-18T13:00:00.000Z	27 \| good	4.654 \| good	7.184 \| good	28.127 \| good	0.353 \| good	6.864 \| good	0.14 \| good
2025-11-18T14:00:00.000Z	27 \| good	3.488 \| good	5.561 \| good	28.928 \| good	0.28 \| good	6.228 \| good	0.135 \| good
2025-11-18T15:00:00.000Z	27 \| good	2.798 \| good	4.367 \| good	28.706 \| good	0.275 \| good	5.968 \| good	0.132 \| good
2025-11-18T16:00:00.000Z	27 \| good	2.861 \| good	4.26 \| good	28.848 \| good	0.29 \| good	6.515 \| good	0.129 \| good
2025-11-18T17:00:00.000Z	26 \| good	3.372 \| good	5.241 \| good	27.939 \| good	0.315 \| good	7.308 \| good	0.133 \| good
2025-11-18T18:00:00.000Z	25 \| good	3.982 \| good	6.161 \| good	27.248 \| good	0.336 \| good	8.014 \| good	0.136 \| good
2025-11-18T19:00:00.000Z	26 \| good	4.105 \| good	6.243 \| good	27.831 \| good	0.32 \| good	8.657 \| good	0.136 \| good
2025-11-18T20:00:00.000Z	25 \| good	4.423 \| good	6.25 \| good	27.147 \| good	0.341 \| good	8.512 \| good	0.128 \| good
2025-11-18T21:00:00.000Z	25 \| good	4.397 \| good	6.062 \| good	27.4 \| good	0.33 \| good	7.3 \| good	0.125 \| good
2025-11-18T22:00:00.000Z	27 \| good	4.518 \| good	6.229 \| good	27.433 \| good	0.308 \| good	6.249 \| good	0.123 \| good
2025-11-18T23:00:00.000Z	26 \| good	4.378 \| good	6.471 \| good	27.76 \| good	0.251 \| good	5.609 \| good	0.122 \| good
2025-11-19T00:00:00.000Z	24 \| good	3.729 \| good	5.146 \| good	25.85 \| good	0.25 \| good	5.259 \| good	0.126 \| good
2025-11-19T01:00:00.000Z	27 \| good	2.781 \| good	3.654 \| good	28.907 \| good	0.208 \| good	5.162 \| good	0.127 \| good
2025-11-19T02:00:00.000Z	28 \| good	2.33 \| good	2.976 \| good	29.927 \| good	0.164 \| good	3.457 \| good	0.126 \| good
2025-11-19T03:00:00.000Z	31 \| good	1.812 \| good	3.093 \| good	33.638 \| good	0.161 \| good	2.085 \| good	0.124 \| good
2025-11-19T04:00:00.000Z	33 \| good	1.758 \| good	4.023 \| good	36.001 \| good	0.146 \| good	1.502 \| good	0.123 \| good
2025-11-19T05:00:00.000Z	32 \| good	1.876 \| good	4.475 \| good	35.332 \| good	0.179 \| good	1.519 \| good	0.123 \| good
2025-11-19T06:00:00.000Z	33 \| good	2.264 \| good	5.621 \| good	35.756 \| good	0.208 \| good	1.797 \| good	0.123 \| good
2025-11-19T07:00:00.000Z	31 \| good	2.667 \| good	6.486 \| good	34.102 \| good	0.269 \| good	2.496 \| good	0.127 \| good
2025-11-19T08:00:00.000Z	30 \| good	2.646 \| good	5.618 \| good	32.494 \| good	0.317 \| good	3.831 \| good	0.132 \| good
2025-11-19T09:00:00.000Z	29 \| good	2.741 \| good	5.355 \| good	31.469 \| good	0.388 \| good	4.966 \| good	0.136 \| good
2025-11-19T10:00:00.000Z	30 \| good	2.724 \| good	5.131 \| good	32.365 \| good	0.402 \| good	4.592 \| good	0.136 \| good
2025-11-19T11:00:00.000Z	31 \| good	2.603 \| good	5.231 \| good	32.688 \| good	0.37 \| good	4.052 \| good	0.135 \| good
2025-11-19T12:00:00.000Z	31 \| good	2.519 \| good	5.457 \| good	33.288 \| good	0.357 \| good	3.659 \| good	0.133 \| good
2025-11-19T13:00:00.000Z	31 \| good	2.503 \| good	5.163 \| good	33.787 \| good	0.334 \| good	3.396 \| good	0.132 \| good
2025-11-19T14:00:00.000Z	31 \| good	2.632 \| good	5.193 \| good	34.177 \| good	0.306 \| good	3.42 \| good	0.133 \| good
2025-11-19T15:00:00.000Z	31 \| good	2.926 \| good	5.504 \| good	33.244 \| good	0.328 \| good	4.12 \| good	0.136 \| good
2025-11-19T16:00:00.000Z	29 \| good	3.268 \| good	6.133 \| good	30.705 \| good	0.364 \| good	5.599 \| good	0.141 \| good

Birstall

Empower business decisions with accurate air quality data

Birstall, Leicestershire air quality map: Real-time AQI near you

0.03ppm

How accurate is Leicestershire, UK air quality data?

Air quality measurements for Leicestershire, 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 Birstall, Leicestershire updated?

Air quality data for Birstall, Leicestershire is updated on an hourly basis.

When did Birstall, Leicestershire experience the worst air quality in the last 24 hours?

The worst air quality in Birstall, Leicestershire was recorded at 03:00:00 on 2025-11-17.

When did Birstall, Leicestershire have its best air quality in the last 24 hours?

The best air quality in Birstall, Leicestershire was recorded at 11:00:00 on 2025-11-16.

What is the real-time air quality index for Birstall, Leicestershire?

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

Which pollutant is found most often in Birstall, Leicestershire?

The most common pollutant in Birstall, Leicestershire is PM2.5.

What can I do if the air quality in Birstall, Leicestershire is poor?

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

What are the current PM_2.5 levels in Birstall, Leicestershire?

The measured PM_2.5 levels in Birstall, Leicestershire at present are 5.014 μg/m³.

What are the current PM₁₀ levels at Birstall, Leicestershire?

The current PM₁₀ levels in Birstall, Leicestershire are 10.861 μg/m³.

What are the current carbon monoxide (CO) levels at Birstall, Leicestershire?

The current carbon monoxide (CO) level in Birstall, Leicestershire is 0.026 ppm.

What are the current sulfur dioxide (SO₂) levels at Birstall, Leicestershire?

The current sulfur dioxide (SO₂) levels in Birstall, Leicestershire are 0.487 ppb.

What are the current ozone (O₃) levels at Birstall, Leicestershire?

The current ozone (O₃) levels at Birstall, Leicestershire is 22.48 ppm.

What are the current nitrogen dioxide (NO₂) levels at Birstall, Leicestershire?

The current nitrogen dioxide (NO₂) levels at Birstall, Leicestershire is 11.67 ppb.

Certified

APIs

Refund Policy

Historical Climate Data

Terms & Conditions

Refund Policy

Terms & Conditions

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-11-15T17:00:00.000Z	19 \| good	1.734 \| good	2.808 \| good	21.467 \| good	0.56 \| good	8.355 \| good	0.108 \| good
2025-11-15T18:00:00.000Z	19 \| good	2.01 \| good	3.085 \| good	21.475 \| good	0.638 \| good	7.819 \| good	0.133 \| good
2025-11-15T19:00:00.000Z	19 \| good	2.014 \| good	3.098 \| good	20.936 \| good	0.47 \| good	7.869 \| good	0.136 \| good
2025-11-15T20:00:00.000Z	19 \| good	2.017 \| good	3.822 \| good	20.933 \| good	0.468 \| good	11.229 \| good	0.14 \| good
2025-11-15T21:00:00.000Z	19 \| good	2.017 \| good	3.822 \| good	20.455 \| good	0.559 \| good	7.988 \| good	0.154 \| good
2025-11-15T22:00:00.000Z	19 \| good	2.017 \| good	3.828 \| good	20.966 \| good	0.463 \| good	6.251 \| good	0.192 \| good
2025-11-15T23:00:00.000Z	19 \| good	2.023 \| good	4.105 \| good	21.466 \| good	0.462 \| good	6.389 \| good	0.105 \| good
2025-11-16T00:00:00.000Z	20 \| good	2.3 \| good	4.105 \| good	21.97 \| good	0.462 \| good	5.171 \| good	0.987 \| good
2025-11-16T01:00:00.000Z	20 \| good	2.3 \| good	4.105 \| good	22.474 \| good	0.559 \| good	5.019 \| good	1.101 \| good
2025-11-16T02:00:00.000Z	21 \| good	3.01 \| good	4.105 \| good	22.987 \| good	0.462 \| good	3.725 \| good	0.89 \| good
2025-11-16T03:00:00.000Z	22 \| good	3.014 \| good	4.118 \| good	23.518 \| good	0.569 \| good	3.344 \| good	0.773 \| good
2025-11-16T04:00:00.000Z	23 \| good	3.014 \| good	4.835 \| good	24.531 \| good	0.462 \| good	3.6 \| good	0.563 \| good
2025-11-16T05:00:00.000Z	24 \| good	3.014 \| good	4.835 \| good	25.537 \| good	0.463 \| good	2.56 \| good	0.523 \| good
2025-11-16T06:00:00.000Z	24 \| good	3.014 \| good	5.111 \| good	26.037 \| good	0.559 \| good	2.478 \| good	0.045 \| good
2025-11-16T07:00:00.000Z	25 \| good	3.017 \| good	5.125 \| good	27.06 \| good	0.62 \| good	3.301 \| good	0.056 \| good
2025-11-16T08:00:00.000Z	25 \| good	3.014 \| good	5.118 \| good	27.062 \| good	0.462 \| good	8.433 \| good	0.063 \| good
2025-11-16T09:00:00.000Z	25 \| good	3.014 \| good	5.118 \| good	27.071 \| good	0.558 \| good	10.091 \| good	0.052 \| good
2025-11-16T10:00:00.000Z	24 \| good	3.02 \| good	6.104 \| good	26.057 \| good	0.568 \| good	12.127 \| good	0.052 \| good
2025-11-16T11:00:00.000Z	24 \| good	3.02 \| good	6.104 \| good	25.552 \| good	0.566 \| good	10.175 \| good	0.049 \| good
2025-11-16T12:00:00.000Z	23 \| good	3.02 \| good	6.104 \| good	25.043 \| good	0.555 \| good	10.72 \| good	0.037 \| good
2025-11-16T13:00:00.000Z	23 \| good	3.297 \| good	6.111 \| good	25.066 \| good	0.695 \| good	11.227 \| good	0.032 \| good
2025-11-16T14:00:00.000Z	23 \| good	3.297 \| good	7.098 \| good	24.576 \| good	0.633 \| good	11.769 \| good	0.033 \| good
2025-11-16T15:00:00.000Z	23 \| good	3.297 \| good	7.098 \| good	24.561 \| good	0.638 \| good	11.022 \| good	0.044 \| good
2025-11-16T16:00:00.000Z	23 \| good	4.007 \| good	7.098 \| good	25.067 \| good	0.543 \| good	11.33 \| good	0.099 \| good
2025-11-16T17:00:00.000Z	24 \| good	4.007 \| good	7.098 \| good	25.575 \| good	0.48 \| good	16.54 \| good	0.11 \| good
2025-11-16T18:00:00.000Z	25 \| good	4.01 \| good	7.124 \| good	26.581 \| good	0.481 \| good	17.297 \| good	0.142 \| good
2025-11-16T19:00:00.000Z	24 \| good	4.01 \| good	8.111 \| good	26.075 \| good	0.538 \| good	20.247 \| good	0.133 \| good
2025-11-16T20:00:00.000Z	24 \| good	4.01 \| good	8.111 \| good	26.073 \| good	0.455 \| good	19.579 \| good	0.145 \| good
2025-11-16T21:00:00.000Z	23 \| good	4.014 \| good	8.131 \| good	25.037 \| good	0.611 \| good	21.843 \| good	0.116 \| good
2025-11-16T22:00:00.000Z	22 \| good	4.017 \| good	8.854 \| good	24.021 \| good	0.552 \| good	16.669 \| good	0.15 \| good
2025-11-16T23:00:00.000Z	22 \| good	4.017 \| good	9.131 \| good	22.508 \| good	0.552 \| good	19.77 \| good	0.13 \| good
2025-11-17T00:00:00.000Z	27 \| good	4.734 \| good	9.131 \| good	20.973 \| good	0.554 \| good	17.882 \| good	1.203 \| good
2025-11-17T01:00:00.000Z	27 \| good	4.734 \| good	9.131 \| good	20.458 \| good	0.554 \| good	10.822 \| good	0.918 \| good
2025-11-17T02:00:00.000Z	27 \| good	4.734 \| good	9.841 \| good	19.968 \| good	0.554 \| good	8.379 \| good	0.77 \| good
2025-11-17T03:00:00.000Z	27 \| good	4.734 \| good	9.841 \| good	20.983 \| good	0.52 \| good	4.24 \| good	0.533 \| good
2025-11-17T04:00:00.000Z	27 \| good	4.734 \| good	9.841 \| good	22.001 \| good	0.463 \| good	3.036 \| good	0.427 \| good
2025-11-17T05:00:00.000Z	27 \| good	5.01 \| good	9.841 \| good	23.52 \| good	0.467 \| good	3.033 \| good	0.331 \| good
2025-11-17T06:00:00.000Z	27 \| good	5.01 \| good	10.118 \| good	24.515 \| good	0.382 \| good	3.935 \| good	0.03 \| good
2025-11-17T07:00:00.000Z	27 \| good	5.01 \| good	10.118 \| good	25.543 \| good	0.382 \| good	5.766 \| good	0.038 \| good
2025-11-17T08:00:00.000Z	27 \| good	5.01 \| good	9.848 \| good	26.031 \| good	0.44 \| good	9.429 \| good	0.047 \| good
2025-11-17T09:00:00.000Z	27 \| good	5.01 \| good	10.124 \| good	25.54 \| good	0.516 \| good	17.644 \| good	0.031 \| good
2025-11-17T10:00:00.000Z	27 \| good	5.01 \| good	10.124 \| good	25.03 \| good	0.463 \| good	20.06 \| good	0.036 \| good
2025-11-17T11:00:00.000Z	27 \| good	5.01 \| good	10.124 \| good	24.004 \| good	0.717 \| good	19.522 \| good	0.036 \| good
2025-11-17T12:00:00.000Z	27 \| good	5.01 \| good	10.124 \| good	22.987 \| good	0.712 \| good	12.498 \| good	0.032 \| good
2025-11-17T13:00:00.000Z	27 \| good	5.014 \| good	10.145 \| good	22.482 \| good	0.555 \| good	14.104 \| good	0.024 \| good
2025-11-17T14:00:00.000Z	27 \| good	5.014 \| good	10.855 \| good	22.472 \| good	0.478 \| good	13.675 \| good	0.023 \| good
2025-11-17T15:00:00.000Z	27 \| good	5.014 \| good	10.861 \| good	22.48 \| good	0.487 \| good	11.67 \| good	0.026 \| good
2025-11-17T16:00:00.000Z	27 \| good	5.014 \| good	10.861 \| good	22.48 \| good	0.487 \| good	11.67 \| good	0.026 \| good
2025-11-17T17:00:00.000Z	38 \| good	6.517 \| good	15.792 \| good	21.846 \| good	0.599 \| good	12.354 \| good	0.169 \| good
2025-11-17T18:00:00.000Z	44 \| good	8.193 \| good	17.61 \| good	15.059 \| good	0.774 \| good	16.057 \| good	0.181 \| good
2025-11-17T19:00:00.000Z	52 \| moderate	10.184 \| good	18.89 \| good	10.285 \| good	0.902 \| good	18.376 \| good	0.194 \| good
2025-11-17T20:00:00.000Z	56 \| moderate	11.554 \| good	19.535 \| good	8.876 \| good	0.906 \| good	18.662 \| good	0.19 \| good
2025-11-17T21:00:00.000Z	56 \| moderate	12.445 \| fine	19.883 \| good	9.193 \| good	0.892 \| good	18.221 \| good	0.188 \| good
2025-11-17T22:00:00.000Z	58 \| moderate	12.687 \| fine	19.517 \| good	10.093 \| good	0.907 \| good	17.227 \| good	0.19 \| good
2025-11-17T23:00:00.000Z	58 \| moderate	12.954 \| fine	20.884 \| good	10.815 \| good	0.865 \| good	16.645 \| good	0.194 \| good
2025-11-18T00:00:00.000Z	58 \| moderate	13.336 \| fine	20.631 \| good	11.109 \| good	0.728 \| good	14.613 \| good	0.19 \| good
2025-11-18T01:00:00.000Z	56 \| moderate	11.951 \| good	18.091 \| good	12.906 \| good	0.69 \| good	12.521 \| good	0.18 \| good
2025-11-18T02:00:00.000Z	54 \| moderate	10.836 \| good	15.542 \| good	15.071 \| good	0.552 \| good	12.07 \| good	0.169 \| good
2025-11-18T03:00:00.000Z	52 \| moderate	9.855 \| good	14.259 \| good	17.536 \| good	0.446 \| good	9.752 \| good	0.161 \| good
2025-11-18T04:00:00.000Z	49 \| good	8.616 \| good	12.354 \| good	21.581 \| good	0.442 \| good	7.846 \| good	0.156 \| good
2025-11-18T05:00:00.000Z	38 \| good	7.386 \| good	11.78 \| good	21.847 \| good	0.504 \| good	6.393 \| good	0.148 \| good
2025-11-18T06:00:00.000Z	38 \| good	7.02 \| good	11.907 \| good	20.786 \| good	0.522 \| good	6.638 \| good	0.14 \| good
2025-11-18T07:00:00.000Z	38 \| good	7.221 \| good	11.77 \| good	18.653 \| good	0.57 \| good	8.26 \| good	0.146 \| good
2025-11-18T08:00:00.000Z	38 \| good	7.278 \| good	11.8 \| good	15.643 \| good	0.638 \| good	10.388 \| good	0.152 \| good
2025-11-18T09:00:00.000Z	44 \| good	7.657 \| good	12.336 \| good	15.405 \| good	0.67 \| good	11.379 \| good	0.157 \| good
2025-11-18T10:00:00.000Z	38 \| good	6.678 \| good	11.765 \| good	19.938 \| good	0.626 \| good	9.731 \| good	0.153 \| good
2025-11-18T11:00:00.000Z	33 \| good	5.887 \| good	11.284 \| good	23.511 \| good	0.585 \| good	9.231 \| good	0.15 \| good
2025-11-18T12:00:00.000Z	27 \| good	5.073 \| good	9.13 \| good	25.688 \| good	0.461 \| good	7.677 \| good	0.144 \| good
2025-11-18T13:00:00.000Z	27 \| good	4.654 \| good	7.184 \| good	28.127 \| good	0.353 \| good	6.864 \| good	0.14 \| good
2025-11-18T14:00:00.000Z	27 \| good	3.488 \| good	5.561 \| good	28.928 \| good	0.28 \| good	6.228 \| good	0.135 \| good
2025-11-18T15:00:00.000Z	27 \| good	2.798 \| good	4.367 \| good	28.706 \| good	0.275 \| good	5.968 \| good	0.132 \| good
2025-11-18T16:00:00.000Z	27 \| good	2.861 \| good	4.26 \| good	28.848 \| good	0.29 \| good	6.515 \| good	0.129 \| good
2025-11-18T17:00:00.000Z	26 \| good	3.372 \| good	5.241 \| good	27.939 \| good	0.315 \| good	7.308 \| good	0.133 \| good
2025-11-18T18:00:00.000Z	25 \| good	3.982 \| good	6.161 \| good	27.248 \| good	0.336 \| good	8.014 \| good	0.136 \| good
2025-11-18T19:00:00.000Z	26 \| good	4.105 \| good	6.243 \| good	27.831 \| good	0.32 \| good	8.657 \| good	0.136 \| good
2025-11-18T20:00:00.000Z	25 \| good	4.423 \| good	6.25 \| good	27.147 \| good	0.341 \| good	8.512 \| good	0.128 \| good
2025-11-18T21:00:00.000Z	25 \| good	4.397 \| good	6.062 \| good	27.4 \| good	0.33 \| good	7.3 \| good	0.125 \| good
2025-11-18T22:00:00.000Z	27 \| good	4.518 \| good	6.229 \| good	27.433 \| good	0.308 \| good	6.249 \| good	0.123 \| good
2025-11-18T23:00:00.000Z	26 \| good	4.378 \| good	6.471 \| good	27.76 \| good	0.251 \| good	5.609 \| good	0.122 \| good
2025-11-19T00:00:00.000Z	24 \| good	3.729 \| good	5.146 \| good	25.85 \| good	0.25 \| good	5.259 \| good	0.126 \| good
2025-11-19T01:00:00.000Z	27 \| good	2.781 \| good	3.654 \| good	28.907 \| good	0.208 \| good	5.162 \| good	0.127 \| good
2025-11-19T02:00:00.000Z	28 \| good	2.33 \| good	2.976 \| good	29.927 \| good	0.164 \| good	3.457 \| good	0.126 \| good
2025-11-19T03:00:00.000Z	31 \| good	1.812 \| good	3.093 \| good	33.638 \| good	0.161 \| good	2.085 \| good	0.124 \| good
2025-11-19T04:00:00.000Z	33 \| good	1.758 \| good	4.023 \| good	36.001 \| good	0.146 \| good	1.502 \| good	0.123 \| good
2025-11-19T05:00:00.000Z	32 \| good	1.876 \| good	4.475 \| good	35.332 \| good	0.179 \| good	1.519 \| good	0.123 \| good
2025-11-19T06:00:00.000Z	33 \| good	2.264 \| good	5.621 \| good	35.756 \| good	0.208 \| good	1.797 \| good	0.123 \| good
2025-11-19T07:00:00.000Z	31 \| good	2.667 \| good	6.486 \| good	34.102 \| good	0.269 \| good	2.496 \| good	0.127 \| good
2025-11-19T08:00:00.000Z	30 \| good	2.646 \| good	5.618 \| good	32.494 \| good	0.317 \| good	3.831 \| good	0.132 \| good
2025-11-19T09:00:00.000Z	29 \| good	2.741 \| good	5.355 \| good	31.469 \| good	0.388 \| good	4.966 \| good	0.136 \| good
2025-11-19T10:00:00.000Z	30 \| good	2.724 \| good	5.131 \| good	32.365 \| good	0.402 \| good	4.592 \| good	0.136 \| good
2025-11-19T11:00:00.000Z	31 \| good	2.603 \| good	5.231 \| good	32.688 \| good	0.37 \| good	4.052 \| good	0.135 \| good
2025-11-19T12:00:00.000Z	31 \| good	2.519 \| good	5.457 \| good	33.288 \| good	0.357 \| good	3.659 \| good	0.133 \| good
2025-11-19T13:00:00.000Z	31 \| good	2.503 \| good	5.163 \| good	33.787 \| good	0.334 \| good	3.396 \| good	0.132 \| good
2025-11-19T14:00:00.000Z	31 \| good	2.632 \| good	5.193 \| good	34.177 \| good	0.306 \| good	3.42 \| good	0.133 \| good
2025-11-19T15:00:00.000Z	31 \| good	2.926 \| good	5.504 \| good	33.244 \| good	0.328 \| good	4.12 \| good	0.136 \| good
2025-11-19T16:00:00.000Z	29 \| good	3.268 \| good	6.133 \| good	30.705 \| good	0.364 \| good	5.599 \| good	0.141 \| good

Real-time air quality index in Birstall, Leicestershire today

Common air pollutants in Birstall, Leicestershire

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Birstall, Leicestershire air quality forecast and history

Empower business decisions with accurate air quality data

Birstall, Leicestershire air quality map: Real-time AQI near you

Air quality in nearby cities

Syston, Leicestershire

Mountsorrel, Leicestershire

Leicester Forest East, Leicestershire

Oadby, Leicestershire

Wigston, Leicestershire

Enderby, Leicestershire

How accurate is Leicestershire, UK air quality data?

Air quality levels in UK

Frequently asked questions

How frequently is the air quality data for Birstall, Leicestershire updated?

When did Birstall, Leicestershire experience the worst air quality in the last 24 hours?

When did Birstall, Leicestershire have its best air quality in the last 24 hours?

What is the real-time air quality index for Birstall, Leicestershire?

Which pollutant is found most often in Birstall, Leicestershire?

What can I do if the air quality in Birstall, Leicestershire is poor?

What are the current PM2.5 levels in Birstall, Leicestershire?

What are the current PM10 levels at Birstall, Leicestershire?

What are the current carbon monoxide (CO) levels at Birstall, Leicestershire?

What are the current sulfur dioxide (SO2) levels at Birstall, Leicestershire?

What are the current ozone (O3) levels at Birstall, Leicestershire?

What are the current nitrogen dioxide (NO2) levels at Birstall, Leicestershire?

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 Birstall, Leicestershire?

What are the current PM₁₀ levels at Birstall, Leicestershire?

What are the current sulfur dioxide (SO₂) levels at Birstall, Leicestershire?

What are the current ozone (O₃) levels at Birstall, Leicestershire?

What are the current nitrogen dioxide (NO₂) levels at Birstall, Leicestershire?