What are the current PM10 levels at Leicestershire, UK?

The current PM10 levels in Leicestershire, UK are 8.409 μg/m3.

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

The current sulfur dioxide (SO2) levels in Leicestershire, UK are 0.386 ppb.

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

The current ozone (O3) levels at Leicestershire, UK is 18.937 ppm.

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

The current nitrogen dioxide (NO2) levels at Leicestershire, UK is 3.957 ppb.

Real-time air quality index in Leicestershire, UK today

Name: Live air pollution levels in Leicestershire, UK today
Creator: Ambee

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

Leicestershire, UK

Last updated: ... (Local time)

Common air pollutants in Leicestershire, UK

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

1.89 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

4.16 μg/m³

155

255

425

605+

Ozone (O₃)

19.14 ppb

201

201+

Sulfur Dioxide (SO₂)

0.49 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

3.71 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.26 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

High

Leicestershire, UK

Get Live Pollen Counts

Leicestershire, UK

Scroll To Air Quality Map

Track live Leicestershire, UK air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-09-16T02:00:00.000Z	28 \| good	4.414 \| good	9.346 \| good	30.308 \| good	0.382 \| good	1.386 \| good	0.276 \| good
2025-09-16T03:00:00.000Z	27 \| good	4.417 \| good	10.999 \| good	28.828 \| good	0.525 \| good	1.405 \| good	0.273 \| good
2025-09-16T04:00:00.000Z	26 \| good	4.305 \| good	9.029 \| good	27.947 \| good	0.525 \| good	1.491 \| good	0.268 \| good
2025-09-16T05:00:00.000Z	26 \| good	4.292 \| good	8.539 \| good	28.245 \| good	0.444 \| good	1.393 \| good	0.271 \| good
2025-09-16T06:00:00.000Z	27 \| good	4.892 \| good	8.641 \| good	28.078 \| good	0.382 \| good	2.404 \| good	0.067 \| good
2025-09-16T07:00:00.000Z	27 \| good	4.697 \| good	7.928 \| good	29.161 \| good	0.382 \| good	1.438 \| good	0.072 \| good
2025-09-16T08:00:00.000Z	26 \| good	4.45 \| good	7.083 \| good	27.645 \| good	0.382 \| good	5.342 \| good	0.066 \| good
2025-09-16T09:00:00.000Z	27 \| good	4.551 \| good	7.918 \| good	27.348 \| good	0.526 \| good	9.652 \| good	0.063 \| good
2025-09-16T10:00:00.000Z	25 \| good	4.179 \| good	9.267 \| good	26.892 \| good	0.526 \| good	5.541 \| good	0.074 \| good
2025-09-16T11:00:00.000Z	25 \| good	4.128 \| good	8.734 \| good	26.881 \| good	0.463 \| good	6.201 \| good	0.061 \| good
2025-09-16T12:00:00.000Z	27 \| good	4.519 \| good	8.1 \| good	24.555 \| good	0.526 \| good	6.109 \| good	0.056 \| good
2025-09-16T13:00:00.000Z	26 \| good	4.443 \| good	8.571 \| good	28.395 \| good	0.553 \| good	6.633 \| good	0.055 \| good
2025-09-16T14:00:00.000Z	27 \| good	4.559 \| good	15.852 \| good	26.102 \| good	0.382 \| good	5.138 \| good	0.056 \| good
2025-09-16T15:00:00.000Z	27 \| good	4.606 \| good	14.01 \| good	26.788 \| good	0.517 \| good	5.301 \| good	0.057 \| good
2025-09-16T16:00:00.000Z	26 \| good	4.256 \| good	7.759 \| good	28.01 \| good	0.444 \| good	7.89 \| good	0.054 \| good
2025-09-16T17:00:00.000Z	27 \| good	3.97 \| good	11.755 \| good	29.499 \| good	0.515 \| good	2.696 \| good	0.055 \| good
2025-09-16T18:00:00.000Z	29 \| good	3.229 \| good	7.315 \| good	30.717 \| good	0.514 \| good	4.369 \| good	0.06 \| good
2025-09-16T19:00:00.000Z	28 \| good	4.101 \| good	12.885 \| good	30.47 \| good	0.444 \| good	4.775 \| good	0.063 \| good
2025-09-16T20:00:00.000Z	27 \| good	3.237 \| good	6.412 \| good	29.158 \| good	0.514 \| good	7.286 \| good	0.062 \| good
2025-09-16T21:00:00.000Z	28 \| good	3.873 \| good	6.297 \| good	30.346 \| good	0.453 \| good	9.221 \| good	0.063 \| good
2025-09-16T22:00:00.000Z	26 \| good	3.836 \| good	8.232 \| good	27.555 \| good	0.382 \| good	8.164 \| good	0.051 \| good
2025-09-16T23:00:00.000Z	22 \| good	3.961 \| good	11.26 \| good	24.244 \| good	0.382 \| good	15.586 \| good	0.053 \| good
2025-09-17T00:00:00.000Z	18 \| good	3.441 \| good	16.968 \| good	19.283 \| good	0.513 \| good	15.75 \| good	0.29 \| good
2025-09-17T01:00:00.000Z	19 \| good	3.379 \| good	9.15 \| good	20.363 \| good	0.511 \| good	10.703 \| good	0.339 \| good
2025-09-17T02:00:00.000Z	22 \| good	3.659 \| good	9.072 \| good	19.091 \| good	0.45 \| good	6.516 \| good	0.247 \| good
2025-09-17T03:00:00.000Z	22 \| good	3.877 \| good	14.584 \| good	18.221 \| good	0.45 \| good	6.737 \| good	0.243 \| good
2025-09-17T04:00:00.000Z	22 \| good	3.984 \| good	7.692 \| good	18.245 \| good	0.382 \| good	3.808 \| good	0.242 \| good
2025-09-17T05:00:00.000Z	22 \| good	3.769 \| good	9.794 \| good	18.258 \| good	0.382 \| good	5.383 \| good	0.25 \| good
2025-09-17T06:00:00.000Z	22 \| good	3.981 \| good	7.519 \| good	19.675 \| good	0.449 \| good	8.974 \| good	0.052 \| good
2025-09-17T07:00:00.000Z	21 \| good	3.362 \| good	6.949 \| good	22.792 \| good	0.526 \| good	3.429 \| good	0.056 \| good
2025-09-17T08:00:00.000Z	22 \| good	3.268 \| good	13.152 \| good	24.006 \| good	0.454 \| good	6.094 \| good	0.053 \| good
2025-09-17T09:00:00.000Z	20 \| good	3.354 \| good	8.155 \| good	21.878 \| good	0.517 \| good	11.234 \| good	0.05 \| good
2025-09-17T10:00:00.000Z	23 \| good	3 \| good	7.835 \| good	24.663 \| good	0.597 \| good	10.061 \| good	0.048 \| good
2025-09-17T11:00:00.000Z	22 \| good	3 \| good	7.391 \| good	23.775 \| good	0.596 \| good	7.319 \| good	0.061 \| good
2025-09-17T12:00:00.000Z	22 \| good	3 \| good	5.91 \| good	24.025 \| good	2.093 \| good	5.985 \| good	0.049 \| good
2025-09-17T13:00:00.000Z	23 \| good	3 \| good	5.723 \| good	24.688 \| good	2.085 \| good	6.821 \| good	0.05 \| good
2025-09-17T14:00:00.000Z	24 \| good	2.914 \| good	5.432 \| good	25.695 \| good	0.702 \| good	6.518 \| good	0.048 \| good
2025-09-17T15:00:00.000Z	22 \| good	2.539 \| good	5.495 \| good	23.566 \| good	0.616 \| good	7.704 \| good	0.048 \| good
2025-09-17T16:00:00.000Z	22 \| good	2.519 \| good	6.416 \| good	23.823 \| good	0.536 \| good	10.608 \| good	0.049 \| good
2025-09-17T17:00:00.000Z	20 \| good	2.638 \| good	7.132 \| good	21.534 \| good	0.516 \| good	8.942 \| good	0.054 \| good
2025-09-17T18:00:00.000Z	19 \| good	2.579 \| good	6.854 \| good	20.442 \| good	0.454 \| good	8.896 \| good	0.052 \| good
2025-09-17T19:00:00.000Z	19 \| good	2.436 \| good	6.047 \| good	20.585 \| good	0.516 \| good	9.498 \| good	0.052 \| good
2025-09-17T20:00:00.000Z	20 \| good	2.433 \| good	4.999 \| good	22.214 \| good	0.453 \| good	7.973 \| good	0.054 \| good
2025-09-17T21:00:00.000Z	20 \| good	2.432 \| good	5.008 \| good	22.456 \| good	0.516 \| good	6.527 \| good	0.061 \| good
2025-09-17T22:00:00.000Z	20 \| good	2 \| good	4.369 \| good	21.865 \| good	0.516 \| good	6.276 \| good	0.038 \| good
2025-09-17T23:00:00.000Z	19 \| good	2 \| good	3.478 \| good	20.623 \| good	0.516 \| good	5.733 \| good	0.037 \| good
2025-09-18T00:00:00.000Z	19 \| good	1.756 \| good	3.462 \| good	20.048 \| good	0.515 \| good	3.951 \| good	0.256 \| good
2025-09-18T01:00:00.000Z	18 \| good	1.844 \| good	3.436 \| good	19.017 \| good	0.515 \| good	2.721 \| good	0.198 \| good
2025-09-18T01:00:00.000Z	18 \| good	1.892 \| good	4.163 \| good	19.141 \| good	0.49 \| good	3.712 \| good	0.256 \| good
2025-09-17T05:00:00.000Z	24 \| good	2.627 \| good	3.654 \| good	26.315 \| good	0.087 \| good	2.191 \| good	0.122 \| good
2025-09-17T06:00:00.000Z	25 \| good	2.653 \| good	3.154 \| good	27.495 \| good	0.109 \| good	3.14 \| good	0.121 \| good
2025-09-17T07:00:00.000Z	25 \| good	2.372 \| good	3.408 \| good	26.645 \| good	0.126 \| good	4.469 \| good	0.122 \| good
2025-09-17T08:00:00.000Z	26 \| good	2.568 \| good	3.266 \| good	27.797 \| good	0.125 \| good	4.893 \| good	0.122 \| good
2025-09-17T09:00:00.000Z	28 \| good	3.046 \| good	3.734 \| good	30.115 \| good	0.115 \| good	4.181 \| good	0.122 \| good
2025-09-17T10:00:00.000Z	29 \| good	3.535 \| good	4.453 \| good	31.016 \| good	0.113 \| good	3.524 \| good	0.121 \| good
2025-09-17T11:00:00.000Z	29 \| good	4.002 \| good	5.506 \| good	31.409 \| good	0.099 \| good	3.1 \| good	0.12 \| good
2025-09-17T12:00:00.000Z	29 \| good	3.956 \| good	6.566 \| good	31.22 \| good	0.093 \| good	2.764 \| good	0.118 \| good
2025-09-17T13:00:00.000Z	29 \| good	3.734 \| good	7.038 \| good	30.814 \| good	0.093 \| good	2.223 \| good	0.118 \| good
2025-09-17T14:00:00.000Z	28 \| good	2.988 \| good	5.858 \| good	30.038 \| good	0.106 \| good	2.07 \| good	0.116 \| good
2025-09-17T15:00:00.000Z	27 \| good	2.547 \| good	4.801 \| good	29.057 \| good	0.106 \| good	2.24 \| good	0.113 \| good
2025-09-17T16:00:00.000Z	26 \| good	2.915 \| good	6.099 \| good	27.876 \| good	0.112 \| good	2.446 \| good	0.112 \| good
2025-09-17T17:00:00.000Z	25 \| good	3.556 \| good	6.858 \| good	26.55 \| good	0.139 \| good	3.093 \| good	0.113 \| good
2025-09-17T18:00:00.000Z	24 \| good	3.661 \| good	6.746 \| good	25.731 \| good	0.158 \| good	3.669 \| good	0.115 \| good
2025-09-17T19:00:00.000Z	22 \| good	4.011 \| good	6.737 \| good	24.295 \| good	0.193 \| good	3.651 \| good	0.114 \| good
2025-09-17T20:00:00.000Z	22 \| good	4.497 \| good	6.604 \| good	23.905 \| good	0.192 \| good	3.308 \| good	0.112 \| good
2025-09-17T21:00:00.000Z	27 \| good	4.569 \| good	6.819 \| good	24.078 \| good	0.179 \| good	3.113 \| good	0.11 \| good
2025-09-17T22:00:00.000Z	22 \| good	4.48 \| good	6.905 \| good	24.222 \| good	0.157 \| good	2.679 \| good	0.109 \| good
2025-09-17T23:00:00.000Z	27 \| good	4.502 \| good	7.193 \| good	24.087 \| good	0.113 \| good	2.613 \| good	0.109 \| good
2025-09-18T00:00:00.000Z	22 \| good	4.301 \| good	7.281 \| good	23.961 \| good	0.095 \| good	2.392 \| good	0.108 \| good
2025-09-18T01:00:00.000Z	23 \| good	3.965 \| good	6.858 \| good	24.605 \| good	0.081 \| good	2.149 \| good	0.107 \| good
2025-09-18T02:00:00.000Z	24 \| good	3.868 \| good	6.428 \| good	25.974 \| good	0.069 \| good	1.842 \| good	0.107 \| good
2025-09-18T03:00:00.000Z	24 \| good	3.864 \| good	6.668 \| good	25.691 \| good	0.068 \| good	1.512 \| good	0.105 \| good
2025-09-18T04:00:00.000Z	24 \| good	3.897 \| good	7.004 \| good	26.113 \| good	0.069 \| good	1.255 \| good	0.103 \| good
2025-09-18T05:00:00.000Z	24 \| good	3.741 \| good	6.431 \| good	25.572 \| good	0.074 \| good	1.352 \| good	0.102 \| good
2025-09-18T06:00:00.000Z	24 \| good	3.696 \| good	6.141 \| good	26.322 \| good	0.109 \| good	1.989 \| good	0.103 \| good
2025-09-18T07:00:00.000Z	22 \| good	3.102 \| good	5.448 \| good	24.055 \| good	0.132 \| good	2.74 \| good	0.103 \| good
2025-09-18T08:00:00.000Z	23 \| good	2.962 \| good	5.067 \| good	25.184 \| good	0.129 \| good	3.048 \| good	0.106 \| good
2025-09-18T09:00:00.000Z	24 \| good	2.806 \| good	4.947 \| good	26.19 \| good	0.106 \| good	2.59 \| good	0.105 \| good
2025-09-18T10:00:00.000Z	25 \| good	2.876 \| good	5.172 \| good	26.821 \| good	0.099 \| good	2.128 \| good	0.106 \| good
2025-09-18T11:00:00.000Z	24 \| good	2.89 \| good	5.334 \| good	26.17 \| good	0.107 \| good	1.958 \| good	0.104 \| good
2025-09-18T12:00:00.000Z	25 \| good	2.949 \| good	5.416 \| good	27.385 \| good	0.123 \| good	1.677 \| good	0.103 \| good
2025-09-18T13:00:00.000Z	26 \| good	3.008 \| good	5.749 \| good	28.035 \| good	0.106 \| good	1.765 \| good	0.102 \| good
2025-09-18T14:00:00.000Z	26 \| good	3.107 \| good	5.732 \| good	28.46 \| good	0.096 \| good	1.996 \| good	0.102 \| good
2025-09-18T15:00:00.000Z	26 \| good	3.253 \| good	5.828 \| good	28.197 \| good	0.094 \| good	2.433 \| good	0.102 \| good
2025-09-18T16:00:00.000Z	26 \| good	3.107 \| good	5.592 \| good	28.216 \| good	0.107 \| good	2.841 \| good	0.102 \| good
2025-09-18T17:00:00.000Z	26 \| good	3.253 \| good	5.668 \| good	28.138 \| good	0.107 \| good	3.175 \| good	0.103 \| good
2025-09-18T18:00:00.000Z	25 \| good	3.33 \| good	5.818 \| good	27.042 \| good	0.148 \| good	3.585 \| good	0.105 \| good
2025-09-18T19:00:00.000Z	24 \| good	3.31 \| good	5.739 \| good	26.247 \| good	0.153 \| good	3.376 \| good	0.104 \| good
2025-09-18T20:00:00.000Z	23 \| good	3.228 \| good	5.612 \| good	25.349 \| good	0.151 \| good	3.046 \| good	0.102 \| good
2025-09-18T21:00:00.000Z	23 \| good	3.237 \| good	5.278 \| good	24.543 \| good	0.143 \| good	2.918 \| good	0.101 \| good
2025-09-18T22:00:00.000Z	21 \| good	3.192 \| good	5.431 \| good	23.446 \| good	0.106 \| good	3.075 \| good	0.101 \| good
2025-09-18T23:00:00.000Z	22 \| good	3.191 \| good	5.396 \| good	23.726 \| good	0.091 \| good	2.709 \| good	0.1 \| good
2025-09-19T00:00:00.000Z	23 \| good	3.379 \| good	5.372 \| good	24.553 \| good	0.09 \| good	2.284 \| good	0.099 \| good
2025-09-19T01:00:00.000Z	24 \| good	3.744 \| good	6.249 \| good	26.083 \| good	0.076 \| good	1.898 \| good	0.098 \| good
2025-09-19T02:00:00.000Z	25 \| good	3.785 \| good	6.47 \| good	27.359 \| good	0.069 \| good	1.6 \| good	0.097 \| good
2025-09-19T03:00:00.000Z	26 \| good	4.125 \| good	6.749 \| good	28.197 \| good	0.069 \| good	1.404 \| good	0.097 \| good
2025-09-19T04:00:00.000Z	27 \| good	4.071 \| good	7.149 \| good	28.551 \| good	0.072 \| good	1.287 \| good	0.098 \| good

Leicestershire

Empower business decisions with accurate air quality data

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

Air quality in cities of Leicestershire, UK

City	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
Coalville, Leicestershire	18 Good	1.57μg/m³ Good	3.41μg/m³ Good	18.69ppb Good	0.50ppb Good	3.93ppb Good	0.26ppm Good
Enderby, Leicestershire	18 Good	1.94μg/m³ Good	3.43μg/m³ Good	18.51ppb Good	0.51ppb Good	3.87ppb Good	0.26ppm Good
Birstall, Leicestershire	17 Good	2.01μg/m³ Good	3.81μg/m³ Good	18.40ppb Good	0.51ppb Good	4.11ppb Good	0.26ppm Good
AshbydelaZouch, Leicestershire	19 Good	1.66μg/m³ Good	3.42μg/m³ Good	19.82ppb Good	0.44ppb Good	3.93ppb Good	0.26ppm Good
Blaby, Leicestershire	17 Good	2.04μg/m³ Good	3.68μg/m³ Good	18.46ppb Good	0.51ppb Good	3.87ppb Good	0.26ppm Good
Earl Shilton, Leicestershire	18 Good	1.44μg/m³ Good	3.50μg/m³ Good	19.38ppb Good	0.49ppb Good	3.34ppb Good	0.26ppm Good
Loughborough, Leicestershire	18 Good	1.79μg/m³ Good	3.58μg/m³ Good	19.01ppb Good	0.51ppb Good	3.98ppb Good	0.26ppm Good
Hinckley, Leicestershire	18 Good	1.44μg/m³ Good	3.50μg/m³ Good	19.38ppb Good	0.49ppb Good	3.34ppb Good	0.26ppm Good
Leicester Forest East, Leicestershire	18 Good	1.67μg/m³ Good	3.49μg/m³ Good	18.64ppb Good	0.51ppb Good	3.78ppb Good	0.26ppm Good
Melton Mowbray, Leicestershire	19 Good	2.51μg/m³ Good	4.23μg/m³ Good	19.85ppb Good	0.47ppb Good	2.96ppb Good	0.26ppm Good
Market Harborough, Leicestershire	19 Good	2.87μg/m³ Good	8.94μg/m³ Good	20.52ppb Good	0.38ppb Good	2.51ppb Good	0.26ppm Good
Mountsorrel, Leicestershire	18 Good	1.98μg/m³ Good	3.72μg/m³ Good	18.54ppb Good	0.51ppb Good	4.11ppb Good	0.26ppm Good
Shepshed, Leicestershire	18 Good	1.79μg/m³ Good	3.58μg/m³ Good	19.01ppb Good	0.51ppb Good	3.98ppb Good	0.26ppm Good
Syston, Leicestershire	18 Good	2.10μg/m³ Good	4.25μg/m³ Good	18.58ppb Good	0.51ppb Good	4.03ppb Good	0.26ppm Good
Lutterworth, Leicestershire	20 Good	1.58μg/m³ Good	7.43μg/m³ Good	22.16ppb Good	0.44ppb Good	3.37ppb Good	0.26ppm Good
Oadby, Leicestershire	17 Good	2.06μg/m³ Good	3.84μg/m³ Good	18.47ppb Good	0.51ppb Good	3.91ppb Good	0.26ppm Good
Wigston, Leicestershire	17 Good	2.04μg/m³ Good	3.69μg/m³ Good	18.45ppb Good	0.51ppb Good	3.88ppb Good	0.26ppm Good
Whitwick, Leicestershire	18 Good	1.57μg/m³ Good	3.41μg/m³ Good	18.69ppb Good	0.50ppb Good	3.93ppb Good	0.26ppm Good

City	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
No results found

0.36ppm

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

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Frequently asked questions

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

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

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

The worst air quality in Leicestershire, UK was recorded at 09:00:00 on 2025-09-16.

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

The best air quality in Leicestershire, UK was recorded at 02:00:00 on 2025-09-17.

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

The real-time air quality index in Leicestershire, UK is 22, currently categorized as Good.

Which pollutant is found most often in Leicestershire, UK?

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

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

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

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

The measured PM_2.5 levels in Leicestershire, UK at present are 3.528 μg/m³.

What are the current PM₁₀ levels at Leicestershire, UK?

The current PM₁₀ levels in Leicestershire, UK are 8.409 μg/m³.

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

The current carbon monoxide (CO) level in Leicestershire, UK is 0.347 ppm.

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

The current sulfur dioxide (SO₂) levels in Leicestershire, UK are 0.386 ppb.

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

The current ozone (O₃) levels at Leicestershire, UK is 18.937 ppm.

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

The current nitrogen dioxide (NO₂) levels at Leicestershire, UK is 3.957 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-09-16T02:00:00.000Z	28 \| good	4.414 \| good	9.346 \| good	30.308 \| good	0.382 \| good	1.386 \| good	0.276 \| good
2025-09-16T03:00:00.000Z	27 \| good	4.417 \| good	10.999 \| good	28.828 \| good	0.525 \| good	1.405 \| good	0.273 \| good
2025-09-16T04:00:00.000Z	26 \| good	4.305 \| good	9.029 \| good	27.947 \| good	0.525 \| good	1.491 \| good	0.268 \| good
2025-09-16T05:00:00.000Z	26 \| good	4.292 \| good	8.539 \| good	28.245 \| good	0.444 \| good	1.393 \| good	0.271 \| good
2025-09-16T06:00:00.000Z	27 \| good	4.892 \| good	8.641 \| good	28.078 \| good	0.382 \| good	2.404 \| good	0.067 \| good
2025-09-16T07:00:00.000Z	27 \| good	4.697 \| good	7.928 \| good	29.161 \| good	0.382 \| good	1.438 \| good	0.072 \| good
2025-09-16T08:00:00.000Z	26 \| good	4.45 \| good	7.083 \| good	27.645 \| good	0.382 \| good	5.342 \| good	0.066 \| good
2025-09-16T09:00:00.000Z	27 \| good	4.551 \| good	7.918 \| good	27.348 \| good	0.526 \| good	9.652 \| good	0.063 \| good
2025-09-16T10:00:00.000Z	25 \| good	4.179 \| good	9.267 \| good	26.892 \| good	0.526 \| good	5.541 \| good	0.074 \| good
2025-09-16T11:00:00.000Z	25 \| good	4.128 \| good	8.734 \| good	26.881 \| good	0.463 \| good	6.201 \| good	0.061 \| good
2025-09-16T12:00:00.000Z	27 \| good	4.519 \| good	8.1 \| good	24.555 \| good	0.526 \| good	6.109 \| good	0.056 \| good
2025-09-16T13:00:00.000Z	26 \| good	4.443 \| good	8.571 \| good	28.395 \| good	0.553 \| good	6.633 \| good	0.055 \| good
2025-09-16T14:00:00.000Z	27 \| good	4.559 \| good	15.852 \| good	26.102 \| good	0.382 \| good	5.138 \| good	0.056 \| good
2025-09-16T15:00:00.000Z	27 \| good	4.606 \| good	14.01 \| good	26.788 \| good	0.517 \| good	5.301 \| good	0.057 \| good
2025-09-16T16:00:00.000Z	26 \| good	4.256 \| good	7.759 \| good	28.01 \| good	0.444 \| good	7.89 \| good	0.054 \| good
2025-09-16T17:00:00.000Z	27 \| good	3.97 \| good	11.755 \| good	29.499 \| good	0.515 \| good	2.696 \| good	0.055 \| good
2025-09-16T18:00:00.000Z	29 \| good	3.229 \| good	7.315 \| good	30.717 \| good	0.514 \| good	4.369 \| good	0.06 \| good
2025-09-16T19:00:00.000Z	28 \| good	4.101 \| good	12.885 \| good	30.47 \| good	0.444 \| good	4.775 \| good	0.063 \| good
2025-09-16T20:00:00.000Z	27 \| good	3.237 \| good	6.412 \| good	29.158 \| good	0.514 \| good	7.286 \| good	0.062 \| good
2025-09-16T21:00:00.000Z	28 \| good	3.873 \| good	6.297 \| good	30.346 \| good	0.453 \| good	9.221 \| good	0.063 \| good
2025-09-16T22:00:00.000Z	26 \| good	3.836 \| good	8.232 \| good	27.555 \| good	0.382 \| good	8.164 \| good	0.051 \| good
2025-09-16T23:00:00.000Z	22 \| good	3.961 \| good	11.26 \| good	24.244 \| good	0.382 \| good	15.586 \| good	0.053 \| good
2025-09-17T00:00:00.000Z	18 \| good	3.441 \| good	16.968 \| good	19.283 \| good	0.513 \| good	15.75 \| good	0.29 \| good
2025-09-17T01:00:00.000Z	19 \| good	3.379 \| good	9.15 \| good	20.363 \| good	0.511 \| good	10.703 \| good	0.339 \| good
2025-09-17T02:00:00.000Z	22 \| good	3.659 \| good	9.072 \| good	19.091 \| good	0.45 \| good	6.516 \| good	0.247 \| good
2025-09-17T03:00:00.000Z	22 \| good	3.877 \| good	14.584 \| good	18.221 \| good	0.45 \| good	6.737 \| good	0.243 \| good
2025-09-17T04:00:00.000Z	22 \| good	3.984 \| good	7.692 \| good	18.245 \| good	0.382 \| good	3.808 \| good	0.242 \| good
2025-09-17T05:00:00.000Z	22 \| good	3.769 \| good	9.794 \| good	18.258 \| good	0.382 \| good	5.383 \| good	0.25 \| good
2025-09-17T06:00:00.000Z	22 \| good	3.981 \| good	7.519 \| good	19.675 \| good	0.449 \| good	8.974 \| good	0.052 \| good
2025-09-17T07:00:00.000Z	21 \| good	3.362 \| good	6.949 \| good	22.792 \| good	0.526 \| good	3.429 \| good	0.056 \| good
2025-09-17T08:00:00.000Z	22 \| good	3.268 \| good	13.152 \| good	24.006 \| good	0.454 \| good	6.094 \| good	0.053 \| good
2025-09-17T09:00:00.000Z	20 \| good	3.354 \| good	8.155 \| good	21.878 \| good	0.517 \| good	11.234 \| good	0.05 \| good
2025-09-17T10:00:00.000Z	23 \| good	3 \| good	7.835 \| good	24.663 \| good	0.597 \| good	10.061 \| good	0.048 \| good
2025-09-17T11:00:00.000Z	22 \| good	3 \| good	7.391 \| good	23.775 \| good	0.596 \| good	7.319 \| good	0.061 \| good
2025-09-17T12:00:00.000Z	22 \| good	3 \| good	5.91 \| good	24.025 \| good	2.093 \| good	5.985 \| good	0.049 \| good
2025-09-17T13:00:00.000Z	23 \| good	3 \| good	5.723 \| good	24.688 \| good	2.085 \| good	6.821 \| good	0.05 \| good
2025-09-17T14:00:00.000Z	24 \| good	2.914 \| good	5.432 \| good	25.695 \| good	0.702 \| good	6.518 \| good	0.048 \| good
2025-09-17T15:00:00.000Z	22 \| good	2.539 \| good	5.495 \| good	23.566 \| good	0.616 \| good	7.704 \| good	0.048 \| good
2025-09-17T16:00:00.000Z	22 \| good	2.519 \| good	6.416 \| good	23.823 \| good	0.536 \| good	10.608 \| good	0.049 \| good
2025-09-17T17:00:00.000Z	20 \| good	2.638 \| good	7.132 \| good	21.534 \| good	0.516 \| good	8.942 \| good	0.054 \| good
2025-09-17T18:00:00.000Z	19 \| good	2.579 \| good	6.854 \| good	20.442 \| good	0.454 \| good	8.896 \| good	0.052 \| good
2025-09-17T19:00:00.000Z	19 \| good	2.436 \| good	6.047 \| good	20.585 \| good	0.516 \| good	9.498 \| good	0.052 \| good
2025-09-17T20:00:00.000Z	20 \| good	2.433 \| good	4.999 \| good	22.214 \| good	0.453 \| good	7.973 \| good	0.054 \| good
2025-09-17T21:00:00.000Z	20 \| good	2.432 \| good	5.008 \| good	22.456 \| good	0.516 \| good	6.527 \| good	0.061 \| good
2025-09-17T22:00:00.000Z	20 \| good	2 \| good	4.369 \| good	21.865 \| good	0.516 \| good	6.276 \| good	0.038 \| good
2025-09-17T23:00:00.000Z	19 \| good	2 \| good	3.478 \| good	20.623 \| good	0.516 \| good	5.733 \| good	0.037 \| good
2025-09-18T00:00:00.000Z	19 \| good	1.756 \| good	3.462 \| good	20.048 \| good	0.515 \| good	3.951 \| good	0.256 \| good
2025-09-18T01:00:00.000Z	18 \| good	1.844 \| good	3.436 \| good	19.017 \| good	0.515 \| good	2.721 \| good	0.198 \| good
2025-09-18T01:00:00.000Z	18 \| good	1.892 \| good	4.163 \| good	19.141 \| good	0.49 \| good	3.712 \| good	0.256 \| good
2025-09-17T05:00:00.000Z	24 \| good	2.627 \| good	3.654 \| good	26.315 \| good	0.087 \| good	2.191 \| good	0.122 \| good
2025-09-17T06:00:00.000Z	25 \| good	2.653 \| good	3.154 \| good	27.495 \| good	0.109 \| good	3.14 \| good	0.121 \| good
2025-09-17T07:00:00.000Z	25 \| good	2.372 \| good	3.408 \| good	26.645 \| good	0.126 \| good	4.469 \| good	0.122 \| good
2025-09-17T08:00:00.000Z	26 \| good	2.568 \| good	3.266 \| good	27.797 \| good	0.125 \| good	4.893 \| good	0.122 \| good
2025-09-17T09:00:00.000Z	28 \| good	3.046 \| good	3.734 \| good	30.115 \| good	0.115 \| good	4.181 \| good	0.122 \| good
2025-09-17T10:00:00.000Z	29 \| good	3.535 \| good	4.453 \| good	31.016 \| good	0.113 \| good	3.524 \| good	0.121 \| good
2025-09-17T11:00:00.000Z	29 \| good	4.002 \| good	5.506 \| good	31.409 \| good	0.099 \| good	3.1 \| good	0.12 \| good
2025-09-17T12:00:00.000Z	29 \| good	3.956 \| good	6.566 \| good	31.22 \| good	0.093 \| good	2.764 \| good	0.118 \| good
2025-09-17T13:00:00.000Z	29 \| good	3.734 \| good	7.038 \| good	30.814 \| good	0.093 \| good	2.223 \| good	0.118 \| good
2025-09-17T14:00:00.000Z	28 \| good	2.988 \| good	5.858 \| good	30.038 \| good	0.106 \| good	2.07 \| good	0.116 \| good
2025-09-17T15:00:00.000Z	27 \| good	2.547 \| good	4.801 \| good	29.057 \| good	0.106 \| good	2.24 \| good	0.113 \| good
2025-09-17T16:00:00.000Z	26 \| good	2.915 \| good	6.099 \| good	27.876 \| good	0.112 \| good	2.446 \| good	0.112 \| good
2025-09-17T17:00:00.000Z	25 \| good	3.556 \| good	6.858 \| good	26.55 \| good	0.139 \| good	3.093 \| good	0.113 \| good
2025-09-17T18:00:00.000Z	24 \| good	3.661 \| good	6.746 \| good	25.731 \| good	0.158 \| good	3.669 \| good	0.115 \| good
2025-09-17T19:00:00.000Z	22 \| good	4.011 \| good	6.737 \| good	24.295 \| good	0.193 \| good	3.651 \| good	0.114 \| good
2025-09-17T20:00:00.000Z	22 \| good	4.497 \| good	6.604 \| good	23.905 \| good	0.192 \| good	3.308 \| good	0.112 \| good
2025-09-17T21:00:00.000Z	27 \| good	4.569 \| good	6.819 \| good	24.078 \| good	0.179 \| good	3.113 \| good	0.11 \| good
2025-09-17T22:00:00.000Z	22 \| good	4.48 \| good	6.905 \| good	24.222 \| good	0.157 \| good	2.679 \| good	0.109 \| good
2025-09-17T23:00:00.000Z	27 \| good	4.502 \| good	7.193 \| good	24.087 \| good	0.113 \| good	2.613 \| good	0.109 \| good
2025-09-18T00:00:00.000Z	22 \| good	4.301 \| good	7.281 \| good	23.961 \| good	0.095 \| good	2.392 \| good	0.108 \| good
2025-09-18T01:00:00.000Z	23 \| good	3.965 \| good	6.858 \| good	24.605 \| good	0.081 \| good	2.149 \| good	0.107 \| good
2025-09-18T02:00:00.000Z	24 \| good	3.868 \| good	6.428 \| good	25.974 \| good	0.069 \| good	1.842 \| good	0.107 \| good
2025-09-18T03:00:00.000Z	24 \| good	3.864 \| good	6.668 \| good	25.691 \| good	0.068 \| good	1.512 \| good	0.105 \| good
2025-09-18T04:00:00.000Z	24 \| good	3.897 \| good	7.004 \| good	26.113 \| good	0.069 \| good	1.255 \| good	0.103 \| good
2025-09-18T05:00:00.000Z	24 \| good	3.741 \| good	6.431 \| good	25.572 \| good	0.074 \| good	1.352 \| good	0.102 \| good
2025-09-18T06:00:00.000Z	24 \| good	3.696 \| good	6.141 \| good	26.322 \| good	0.109 \| good	1.989 \| good	0.103 \| good
2025-09-18T07:00:00.000Z	22 \| good	3.102 \| good	5.448 \| good	24.055 \| good	0.132 \| good	2.74 \| good	0.103 \| good
2025-09-18T08:00:00.000Z	23 \| good	2.962 \| good	5.067 \| good	25.184 \| good	0.129 \| good	3.048 \| good	0.106 \| good
2025-09-18T09:00:00.000Z	24 \| good	2.806 \| good	4.947 \| good	26.19 \| good	0.106 \| good	2.59 \| good	0.105 \| good
2025-09-18T10:00:00.000Z	25 \| good	2.876 \| good	5.172 \| good	26.821 \| good	0.099 \| good	2.128 \| good	0.106 \| good
2025-09-18T11:00:00.000Z	24 \| good	2.89 \| good	5.334 \| good	26.17 \| good	0.107 \| good	1.958 \| good	0.104 \| good
2025-09-18T12:00:00.000Z	25 \| good	2.949 \| good	5.416 \| good	27.385 \| good	0.123 \| good	1.677 \| good	0.103 \| good
2025-09-18T13:00:00.000Z	26 \| good	3.008 \| good	5.749 \| good	28.035 \| good	0.106 \| good	1.765 \| good	0.102 \| good
2025-09-18T14:00:00.000Z	26 \| good	3.107 \| good	5.732 \| good	28.46 \| good	0.096 \| good	1.996 \| good	0.102 \| good
2025-09-18T15:00:00.000Z	26 \| good	3.253 \| good	5.828 \| good	28.197 \| good	0.094 \| good	2.433 \| good	0.102 \| good
2025-09-18T16:00:00.000Z	26 \| good	3.107 \| good	5.592 \| good	28.216 \| good	0.107 \| good	2.841 \| good	0.102 \| good
2025-09-18T17:00:00.000Z	26 \| good	3.253 \| good	5.668 \| good	28.138 \| good	0.107 \| good	3.175 \| good	0.103 \| good
2025-09-18T18:00:00.000Z	25 \| good	3.33 \| good	5.818 \| good	27.042 \| good	0.148 \| good	3.585 \| good	0.105 \| good
2025-09-18T19:00:00.000Z	24 \| good	3.31 \| good	5.739 \| good	26.247 \| good	0.153 \| good	3.376 \| good	0.104 \| good
2025-09-18T20:00:00.000Z	23 \| good	3.228 \| good	5.612 \| good	25.349 \| good	0.151 \| good	3.046 \| good	0.102 \| good
2025-09-18T21:00:00.000Z	23 \| good	3.237 \| good	5.278 \| good	24.543 \| good	0.143 \| good	2.918 \| good	0.101 \| good
2025-09-18T22:00:00.000Z	21 \| good	3.192 \| good	5.431 \| good	23.446 \| good	0.106 \| good	3.075 \| good	0.101 \| good
2025-09-18T23:00:00.000Z	22 \| good	3.191 \| good	5.396 \| good	23.726 \| good	0.091 \| good	2.709 \| good	0.1 \| good
2025-09-19T00:00:00.000Z	23 \| good	3.379 \| good	5.372 \| good	24.553 \| good	0.09 \| good	2.284 \| good	0.099 \| good
2025-09-19T01:00:00.000Z	24 \| good	3.744 \| good	6.249 \| good	26.083 \| good	0.076 \| good	1.898 \| good	0.098 \| good
2025-09-19T02:00:00.000Z	25 \| good	3.785 \| good	6.47 \| good	27.359 \| good	0.069 \| good	1.6 \| good	0.097 \| good
2025-09-19T03:00:00.000Z	26 \| good	4.125 \| good	6.749 \| good	28.197 \| good	0.069 \| good	1.404 \| good	0.097 \| good
2025-09-19T04:00:00.000Z	27 \| good	4.071 \| good	7.149 \| good	28.551 \| good	0.072 \| good	1.287 \| good	0.098 \| good

Real-time air quality index in Leicestershire, UK today

Common air pollutants in Leicestershire, UK

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Leicestershire, UK air quality forecast and history

Empower business decisions with accurate air quality data

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

Air quality in cities of Leicestershire, UK

Air quality in nearby states

Nottingham, UK

Nottinghamshire, UK

Derbyshire, UK

North Northamptonshire, UK

West Northamptonshire, UK

West Midlands, UK

How accurate is Leicestershire, UK air quality data?

Air quality levels in UK

Frequently asked questions

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

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

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

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

Which pollutant is found most often in Leicestershire, UK?

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

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

What are the current PM10 levels at Leicestershire, UK?

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

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

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

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

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 Leicestershire, UK?

What are the current PM₁₀ levels at Leicestershire, UK?

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

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

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