What are the current PM10 levels at Leicestershire, UK?

The current PM10 levels in Leicestershire, UK are 15.927 μg/m3.

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

The current sulfur dioxide (SO2) levels in Leicestershire, UK are 0.288 ppb.

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

The current ozone (O3) levels at Leicestershire, UK is 32.892 ppm.

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

The current nitrogen dioxide (NO2) levels at Leicestershire, UK is 3.125 ppb.

Real-time air quality index in Leicestershire, UK today

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

The measured PM2.5 levels in Leicestershire, UK at present are 4.757 μg/m3.

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)

5.30 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

14.71 μg/m³

155

255

425

605+

Ozone (O₃)

31.42 ppb

201

201+

Sulfur Dioxide (SO₂)

0.33 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

3.28 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.13 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

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
2025-12-26T21:00:00.000Z	33 \| good	6.489 \| good	13.836 \| good	29.301 \| good	0.382 \| good	9.008 \| good	0.032 \| good
2025-12-26T22:00:00.000Z	38 \| good	6.684 \| good	14.763 \| good	31.393 \| good	0.487 \| good	9.269 \| good	0.022 \| good
2025-12-26T23:00:00.000Z	38 \| good	6.879 \| good	14.023 \| good	26.735 \| good	0.382 \| good	4.358 \| good	0.022 \| good
2025-12-27T00:00:00.000Z	38 \| good	7 \| good	13.723 \| good	29.278 \| good	0.461 \| good	12.964 \| good	0.305 \| good
2025-12-27T01:00:00.000Z	38 \| good	7 \| good	14 \| good	28.32 \| good	0.382 \| good	13.684 \| good	0.578 \| good
2025-12-27T02:00:00.000Z	38 \| good	6.83 \| good	14 \| good	25.771 \| good	0.438 \| good	12.07 \| good	0.228 \| good
2025-12-27T03:00:00.000Z	38 \| good	6.837 \| good	13.604 \| good	25.738 \| good	0.509 \| good	8.2 \| good	0.241 \| good
2025-12-27T04:00:00.000Z	38 \| good	6.801 \| good	13.467 \| good	27.835 \| good	0.382 \| good	8.6 \| good	0.188 \| good
2025-12-27T05:00:00.000Z	38 \| good	6.819 \| good	15.444 \| good	27.797 \| good	0.382 \| good	9.439 \| good	0.169 \| good
2025-12-27T06:00:00.000Z	44 \| good	7.592 \| good	14.695 \| good	27.063 \| good	0.352 \| good	7.168 \| good	0.017 \| good
2025-12-27T07:00:00.000Z	38 \| good	7 \| good	15.55 \| good	23.489 \| good	0.382 \| good	8.79 \| good	0.025 \| good
2025-12-27T08:00:00.000Z	38 \| good	6.863 \| good	15.913 \| good	21.361 \| good	0.382 \| good	6.898 \| good	0.03 \| good
2025-12-27T09:00:00.000Z	38 \| good	7.313 \| good	16.632 \| good	26.307 \| good	0.382 \| good	5.002 \| good	0.024 \| good
2025-12-27T10:00:00.000Z	38 \| good	7.113 \| good	12.045 \| good	25.785 \| good	0.382 \| good	5.216 \| good	0.018 \| good
2025-12-27T11:00:00.000Z	38 \| good	6.975 \| good	17.923 \| good	27.006 \| good	0.445 \| good	9.364 \| good	0.022 \| good
2025-12-27T12:00:00.000Z	38 \| good	6.802 \| good	14.798 \| good	28.507 \| good	0.587 \| good	8.435 \| good	0.022 \| good
2025-12-27T13:00:00.000Z	33 \| good	6.327 \| good	11.715 \| good	25.615 \| good	0.473 \| good	7.166 \| good	0.022 \| good
2025-12-27T14:00:00.000Z	38 \| good	6.676 \| good	11.371 \| good	22.458 \| good	0.544 \| good	7.454 \| good	0.03 \| good
2025-12-27T15:00:00.000Z	33 \| good	6.255 \| good	10.34 \| good	32.292 \| good	0.611 \| good	8.177 \| good	0.033 \| good
2025-12-27T16:00:00.000Z	33 \| good	6.343 \| good	10.058 \| good	29.477 \| good	0.382 \| good	10.817 \| good	0.041 \| good
2025-12-27T17:00:00.000Z	38 \| good	6.564 \| good	10.312 \| good	31.759 \| good	0.382 \| good	3.041 \| good	0.062 \| good
2025-12-27T18:00:00.000Z	33 \| good	6.221 \| good	14.195 \| good	31.693 \| good	0.382 \| good	3.65 \| good	0.08 \| good
2025-12-27T19:00:00.000Z	33 \| good	5.535 \| good	13.585 \| good	31.124 \| good	0.462 \| good	5.653 \| good	0.118 \| good
2025-12-27T20:00:00.000Z	33 \| good	5.511 \| good	9.385 \| good	31.228 \| good	0.351 \| good	4.884 \| good	0.159 \| good
2025-12-27T21:00:00.000Z	30 \| good	4.854 \| good	9.663 \| good	31.682 \| good	0.352 \| good	9.947 \| good	0.119 \| good
2025-12-27T22:00:00.000Z	31 \| good	5.097 \| good	13.103 \| good	32.625 \| good	0.382 \| good	3.911 \| good	0.14 \| good
2025-12-27T23:00:00.000Z	31 \| good	4.447 \| good	9.966 \| good	33.619 \| good	0.348 \| good	5.275 \| good	0.105 \| good
2025-12-28T00:00:00.000Z	29 \| good	4.718 \| good	16.102 \| good	30.979 \| good	0.382 \| good	5.09 \| good	1.101 \| good
2025-12-28T01:00:00.000Z	29 \| good	4.413 \| good	8.852 \| good	30.668 \| good	0.563 \| good	4.148 \| good	1.079 \| good
2025-12-28T02:00:00.000Z	30 \| good	4.381 \| good	10.595 \| good	31.948 \| good	0.483 \| good	3.23 \| good	1.235 \| good
2025-12-28T03:00:00.000Z	31 \| good	4.376 \| good	11.344 \| good	33.341 \| good	0.442 \| good	3.245 \| good	0.638 \| good
2025-12-28T04:00:00.000Z	31 \| good	4.28 \| good	7.554 \| good	32.984 \| good	0.442 \| good	3.059 \| good	0.677 \| good
2025-12-28T05:00:00.000Z	31 \| good	4.823 \| good	12.532 \| good	32.627 \| good	0.382 \| good	3.044 \| good	0.432 \| good
2025-12-28T06:00:00.000Z	29 \| good	5 \| good	13.136 \| good	31.477 \| good	0.338 \| good	2.495 \| good	0.033 \| good
2025-12-28T07:00:00.000Z	29 \| good	4.863 \| good	14.929 \| good	31.096 \| good	0.338 \| good	3.077 \| good	0.042 \| good
2025-12-28T08:00:00.000Z	29 \| good	5.25 \| good	11.407 \| good	31.401 \| good	0.339 \| good	2.306 \| good	0.121 \| good
2025-12-28T09:00:00.000Z	29 \| good	5.039 \| good	12.571 \| good	31.289 \| good	0.412 \| good	2.561 \| good	0.122 \| good
2025-12-28T10:00:00.000Z	30 \| good	4.729 \| good	13.488 \| good	31.975 \| good	0.403 \| good	2.428 \| good	0.121 \| good
2025-12-28T11:00:00.000Z	31 \| good	4.303 \| good	12.285 \| good	33.218 \| good	0.318 \| good	2.102 \| good	0.12 \| good
2025-12-28T12:00:00.000Z	31 \| good	4.441 \| good	16.055 \| good	32.642 \| good	0.327 \| good	2.126 \| good	0.119 \| good
2025-12-28T13:00:00.000Z	31 \| good	4.575 \| good	13.132 \| good	34.131 \| good	0.244 \| good	1.724 \| good	0.117 \| good
2025-12-28T14:00:00.000Z	31 \| good	4.966 \| good	11.867 \| good	34.391 \| good	0.206 \| good	2.018 \| good	0.12 \| good
2025-12-28T15:00:00.000Z	31 \| good	4.73 \| good	13.843 \| good	34.214 \| good	0.222 \| good	2.115 \| good	0.122 \| good
2025-12-28T16:00:00.000Z	31 \| good	4.675 \| good	15.997 \| good	32.834 \| good	0.254 \| good	2.38 \| good	0.122 \| good
2025-12-28T17:00:00.000Z	30 \| good	4.814 \| good	16.214 \| good	32.495 \| good	0.265 \| good	2.52 \| good	0.124 \| good
2025-12-28T18:00:00.000Z	31 \| good	5.248 \| good	16.716 \| good	33.181 \| good	0.305 \| good	2.564 \| good	0.127 \| good
2025-12-28T19:00:00.000Z	33 \| good	5.649 \| good	17.08 \| good	31.769 \| good	0.325 \| good	2.717 \| good	0.127 \| good
2025-12-28T20:00:00.000Z	33 \| good	5.936 \| good	14.53 \| good	30.905 \| good	0.342 \| good	2.848 \| good	0.126 \| good
2025-12-28T20:00:00.000Z	29 \| good	5.299 \| good	14.709 \| good	31.419 \| good	0.327 \| good	3.28 \| good	0.126 \| good
2025-12-28T19:00:00.000Z	33 \| good	5.607 \| good	17.052 \| good	31.746 \| good	0.325 \| good	2.732 \| good	0.127 \| good
2025-12-28T20:00:00.000Z	33 \| good	5.888 \| good	14.519 \| good	30.848 \| good	0.341 \| good	2.872 \| good	0.126 \| good
2025-12-28T21:00:00.000Z	33 \| good	5.785 \| good	15.359 \| good	30.135 \| good	0.34 \| good	3.02 \| good	0.126 \| good
2025-12-28T22:00:00.000Z	33 \| good	5.87 \| good	17.168 \| good	29.024 \| good	0.345 \| good	3.145 \| good	0.127 \| good
2025-12-28T23:00:00.000Z	33 \| good	5.887 \| good	17.788 \| good	26.982 \| good	0.343 \| good	3.142 \| good	0.127 \| good
2025-12-29T00:00:00.000Z	33 \| good	6.318 \| good	16.393 \| good	25.589 \| good	0.34 \| good	3.254 \| good	0.128 \| good
2025-12-29T01:00:00.000Z	38 \| good	7.169 \| good	13.266 \| good	27.303 \| good	0.369 \| good	3.593 \| good	0.131 \| good
2025-12-29T02:00:00.000Z	44 \| good	7.728 \| good	15.166 \| good	26.017 \| good	0.548 \| good	3.818 \| good	0.136 \| good
2025-12-29T03:00:00.000Z	44 \| good	7.628 \| good	14.734 \| good	24.342 \| good	0.775 \| good	3.472 \| good	0.146 \| good
2025-12-29T04:00:00.000Z	44 \| good	7.539 \| good	13.951 \| good	26.322 \| good	0.822 \| good	2.981 \| good	0.148 \| good
2025-12-29T05:00:00.000Z	38 \| good	7.265 \| good	13.921 \| good	27.089 \| good	0.887 \| good	2.871 \| good	0.148 \| good
2025-12-29T06:00:00.000Z	38 \| good	6.929 \| good	13.662 \| good	26.79 \| good	0.892 \| good	2.975 \| good	0.152 \| good
2025-12-29T07:00:00.000Z	38 \| good	6.759 \| good	12.9 \| good	27.033 \| good	0.906 \| good	3.962 \| good	0.155 \| good
2025-12-29T08:00:00.000Z	38 \| good	6.555 \| good	14.983 \| good	25.588 \| good	0.965 \| good	5.754 \| good	0.162 \| good
2025-12-29T09:00:00.000Z	33 \| good	6.099 \| good	13.955 \| good	23.596 \| good	0.989 \| good	6.692 \| good	0.164 \| good
2025-12-29T10:00:00.000Z	27 \| good	5.426 \| good	12.31 \| good	23.988 \| good	0.963 \| good	6.693 \| good	0.167 \| good
2025-12-29T11:00:00.000Z	27 \| good	4.786 \| good	10.881 \| good	26.509 \| good	0.888 \| good	5.765 \| good	0.157 \| good
2025-12-29T12:00:00.000Z	27 \| good	4.34 \| good	9.94 \| good	29.405 \| good	0.797 \| good	4.755 \| good	0.147 \| good
2025-12-29T13:00:00.000Z	27 \| good	3.931 \| good	9.531 \| good	29.497 \| good	0.626 \| good	4.17 \| good	0.14 \| good
2025-12-29T14:00:00.000Z	27 \| good	3.622 \| good	9.809 \| good	29.28 \| good	0.534 \| good	4.259 \| good	0.138 \| good
2025-12-29T15:00:00.000Z	25 \| good	3.905 \| good	10.217 \| good	26.825 \| good	0.502 \| good	5.138 \| good	0.136 \| good
2025-12-29T16:00:00.000Z	27 \| good	4.756 \| good	10.61 \| good	26.526 \| good	0.534 \| good	6.441 \| good	0.137 \| good
2025-12-29T17:00:00.000Z	33 \| good	5.709 \| good	11.267 \| good	23.034 \| good	0.592 \| good	7.316 \| good	0.14 \| good
2025-12-29T18:00:00.000Z	38 \| good	7.076 \| good	12.546 \| good	21.991 \| good	0.57 \| good	7.948 \| good	0.147 \| good
2025-12-29T19:00:00.000Z	44 \| good	7.963 \| good	13.123 \| good	22.459 \| good	0.592 \| good	8.129 \| good	0.151 \| good
2025-12-29T20:00:00.000Z	44 \| good	8.289 \| good	12.923 \| good	22.543 \| good	0.649 \| good	7.823 \| good	0.147 \| good
2025-12-29T21:00:00.000Z	44 \| good	8.089 \| good	13.587 \| good	23.892 \| good	0.657 \| good	6.402 \| good	0.143 \| good
2025-12-29T22:00:00.000Z	44 \| good	7.558 \| good	13.624 \| good	24.893 \| good	0.596 \| good	5.095 \| good	0.151 \| good
2025-12-29T23:00:00.000Z	33 \| good	6.434 \| good	12.383 \| good	26.113 \| good	0.617 \| good	4.479 \| good	0.149 \| good
2025-12-30T00:00:00.000Z	27 \| good	5.227 \| good	11.387 \| good	28.453 \| good	0.441 \| good	3.442 \| good	0.135 \| good
2025-12-30T01:00:00.000Z	28 \| good	4.132 \| good	10.053 \| good	30.399 \| good	0.358 \| good	2.172 \| good	0.128 \| good
2025-12-30T02:00:00.000Z	28 \| good	3.827 \| good	11.731 \| good	30.252 \| good	0.343 \| good	1.893 \| good	0.127 \| good
2025-12-30T03:00:00.000Z	30 \| good	4.085 \| good	12.431 \| good	32.316 \| good	0.351 \| good	1.713 \| good	0.125 \| good
2025-12-30T04:00:00.000Z	31 \| good	4.151 \| good	12.214 \| good	32.838 \| good	0.375 \| good	1.633 \| good	0.124 \| good
2025-12-30T05:00:00.000Z	31 \| good	4.305 \| good	11.267 \| good	32.593 \| good	0.378 \| good	1.737 \| good	0.123 \| good
2025-12-30T06:00:00.000Z	30 \| good	4.067 \| good	10.513 \| good	32.015 \| good	0.389 \| good	2.045 \| good	0.124 \| good
2025-12-30T07:00:00.000Z	29 \| good	4.073 \| good	10.258 \| good	30.984 \| good	0.536 \| good	3.147 \| good	0.13 \| good
2025-12-30T08:00:00.000Z	28 \| good	4.181 \| good	10.481 \| good	30.439 \| good	0.684 \| good	4.324 \| good	0.136 \| good
2025-12-30T09:00:00.000Z	27 \| good	4.301 \| good	12.747 \| good	28.728 \| good	0.806 \| good	5.984 \| good	0.141 \| good
2025-12-30T10:00:00.000Z	28 \| good	4.669 \| good	11.301 \| good	30.023 \| good	0.974 \| good	6.523 \| good	0.145 \| good
2025-12-30T11:00:00.000Z	29 \| good	4.199 \| good	10.682 \| good	31.088 \| good	0.911 \| good	5.816 \| good	0.152 \| good
2025-12-30T12:00:00.000Z	31 \| good	3.591 \| good	10.306 \| good	33.768 \| good	0.773 \| good	5.178 \| good	0.152 \| good
2025-12-30T13:00:00.000Z	31 \| good	3.529 \| good	10.11 \| good	33.22 \| good	0.656 \| good	5.039 \| good	0.146 \| good
2025-12-30T14:00:00.000Z	29 \| good	3.832 \| good	9.226 \| good	30.891 \| good	0.638 \| good	6.118 \| good	0.145 \| good
2025-12-30T15:00:00.000Z	29 \| good	4.149 \| good	9.81 \| good	31.011 \| good	0.659 \| good	7.839 \| good	0.147 \| good
2025-12-30T16:00:00.000Z	27 \| good	5.321 \| good	10.354 \| good	25.45 \| good	0.738 \| good	10.443 \| good	0.157 \| good
2025-12-30T17:00:00.000Z	33 \| good	6.183 \| good	12.54 \| good	21.091 \| good	0.815 \| good	13.545 \| good	0.168 \| good
2025-12-30T18:00:00.000Z	44 \| good	7.924 \| good	14.261 \| good	16.544 \| good	0.958 \| good	16.026 \| good	0.184 \| 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
Market Harborough, Leicestershire	33 Good	3.40μg/m³ Good	14.03μg/m³ Good	35.78ppb Good	0.19ppb Good	1.87ppb Good	0.12ppm Good
Lutterworth, Leicestershire	32 Good	3.92μg/m³ Good	13.68μg/m³ Good	35.20ppb Good	0.23ppb Good	2.82ppb Good	0.12ppm Good
Oadby, Leicestershire	31 Good	3.92μg/m³ Good	15.30μg/m³ Good	34.10ppb Good	0.24ppb Good	2.44ppb Good	0.12ppm Good
Wigston, Leicestershire	31 Good	3.97μg/m³ Good	15.23μg/m³ Good	34.09ppb Good	0.24ppb Good	2.74ppb Good	0.12ppm Good
Blaby, Leicestershire	31 Good	4.16μg/m³ Good	15.65μg/m³ Good	33.17ppb Good	0.27ppb Good	3.50ppb Good	0.13ppm Good
Birstall, Leicestershire	31 Good	4.97μg/m³ Good	16.74μg/m³ Good	33.27ppb Good	0.33ppb Good	4.01ppb Good	0.13ppm Good
Mountsorrel, Leicestershire	31 Good	5.28μg/m³ Good	16.83μg/m³ Good	33.14ppb Good	0.31ppb Good	2.96ppb Good	0.13ppm Good
Syston, Leicestershire	31 Good	4.25μg/m³ Good	16.07μg/m³ Good	33.68ppb Good	0.24ppb Good	1.97ppb Good	0.12ppm Good
Melton Mowbray, Leicestershire	31 Good	3.76μg/m³ Good	15.74μg/m³ Good	33.96ppb Good	0.20ppb Good	1.37ppb Good	0.12ppm Good
Coalville, Leicestershire	33 Good	5.50μg/m³ Good	16.43μg/m³ Good	31.44ppb Good	0.34ppb Good	3.54ppb Good	0.13ppm Good
AshbydelaZouch, Leicestershire	29 Good	5.46μg/m³ Good	16.32μg/m³ Good	31.07ppb Good	0.39ppb Good	4.03ppb Good	0.13ppm Good
Earl Shilton, Leicestershire	30 Good	5.21μg/m³ Good	16.01μg/m³ Good	32.21ppb Good	0.30ppb Good	3.29ppb Good	0.13ppm Good
Enderby, Leicestershire	31 Good	4.83μg/m³ Good	16.09μg/m³ Good	32.67ppb Good	0.29ppb Good	3.75ppb Good	0.13ppm Good
Hinckley, Leicestershire	30 Good	5.24μg/m³ Good	15.85μg/m³ Good	32.23ppb Good	0.31ppb Good	3.38ppb Good	0.13ppm Good
Leicester Forest East, Leicestershire	29 Good	5.39μg/m³ Good	17.03μg/m³ Good	31.14ppb Good	0.30ppb Good	4.00ppb Good	0.13ppm Good
Shepshed, Leicestershire	29 Good	5.49μg/m³ Good	16.59μg/m³ Good	31.36ppb Good	0.34ppb Good	3.87ppb Good	0.13ppm Good
Loughborough, Leicestershire	30 Good	5.33μg/m³ Good	16.62μg/m³ Good	32.14ppb Good	0.32ppb Good	3.12ppb Good	0.13ppm Good
Whitwick, Leicestershire	33 Good	5.53μg/m³ Good	16.47μg/m³ Good	31.39ppb Good	0.34ppb Good	3.62ppb Good	0.13ppm Good

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

0.14ppm

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 08:00:00 on 2025-12-27.

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

The best air quality in Leicestershire, UK was recorded at 09:00:00 on 2025-12-28.

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

The real-time air quality index in Leicestershire, UK is 31, currently categorized as Good.

Which pollutant is found most often in Leicestershire, UK?

The most common pollutant in Leicestershire, UK is O3.

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 4.757 μg/m³.

What are the current PM₁₀ levels at Leicestershire, UK?

The current PM₁₀ levels in Leicestershire, UK are 15.927 μg/m³.

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

The current carbon monoxide (CO) level in Leicestershire, UK is 0.127 ppm.

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

The current sulfur dioxide (SO₂) levels in Leicestershire, UK are 0.288 ppb.

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

The current ozone (O₃) levels at Leicestershire, UK is 32.892 ppm.

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

The current nitrogen dioxide (NO₂) levels at Leicestershire, UK is 3.125 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-12-26T21:00:00.000Z	33 \| good	6.489 \| good	13.836 \| good	29.301 \| good	0.382 \| good	9.008 \| good	0.032 \| good
2025-12-26T22:00:00.000Z	38 \| good	6.684 \| good	14.763 \| good	31.393 \| good	0.487 \| good	9.269 \| good	0.022 \| good
2025-12-26T23:00:00.000Z	38 \| good	6.879 \| good	14.023 \| good	26.735 \| good	0.382 \| good	4.358 \| good	0.022 \| good
2025-12-27T00:00:00.000Z	38 \| good	7 \| good	13.723 \| good	29.278 \| good	0.461 \| good	12.964 \| good	0.305 \| good
2025-12-27T01:00:00.000Z	38 \| good	7 \| good	14 \| good	28.32 \| good	0.382 \| good	13.684 \| good	0.578 \| good
2025-12-27T02:00:00.000Z	38 \| good	6.83 \| good	14 \| good	25.771 \| good	0.438 \| good	12.07 \| good	0.228 \| good
2025-12-27T03:00:00.000Z	38 \| good	6.837 \| good	13.604 \| good	25.738 \| good	0.509 \| good	8.2 \| good	0.241 \| good
2025-12-27T04:00:00.000Z	38 \| good	6.801 \| good	13.467 \| good	27.835 \| good	0.382 \| good	8.6 \| good	0.188 \| good
2025-12-27T05:00:00.000Z	38 \| good	6.819 \| good	15.444 \| good	27.797 \| good	0.382 \| good	9.439 \| good	0.169 \| good
2025-12-27T06:00:00.000Z	44 \| good	7.592 \| good	14.695 \| good	27.063 \| good	0.352 \| good	7.168 \| good	0.017 \| good
2025-12-27T07:00:00.000Z	38 \| good	7 \| good	15.55 \| good	23.489 \| good	0.382 \| good	8.79 \| good	0.025 \| good
2025-12-27T08:00:00.000Z	38 \| good	6.863 \| good	15.913 \| good	21.361 \| good	0.382 \| good	6.898 \| good	0.03 \| good
2025-12-27T09:00:00.000Z	38 \| good	7.313 \| good	16.632 \| good	26.307 \| good	0.382 \| good	5.002 \| good	0.024 \| good
2025-12-27T10:00:00.000Z	38 \| good	7.113 \| good	12.045 \| good	25.785 \| good	0.382 \| good	5.216 \| good	0.018 \| good
2025-12-27T11:00:00.000Z	38 \| good	6.975 \| good	17.923 \| good	27.006 \| good	0.445 \| good	9.364 \| good	0.022 \| good
2025-12-27T12:00:00.000Z	38 \| good	6.802 \| good	14.798 \| good	28.507 \| good	0.587 \| good	8.435 \| good	0.022 \| good
2025-12-27T13:00:00.000Z	33 \| good	6.327 \| good	11.715 \| good	25.615 \| good	0.473 \| good	7.166 \| good	0.022 \| good
2025-12-27T14:00:00.000Z	38 \| good	6.676 \| good	11.371 \| good	22.458 \| good	0.544 \| good	7.454 \| good	0.03 \| good
2025-12-27T15:00:00.000Z	33 \| good	6.255 \| good	10.34 \| good	32.292 \| good	0.611 \| good	8.177 \| good	0.033 \| good
2025-12-27T16:00:00.000Z	33 \| good	6.343 \| good	10.058 \| good	29.477 \| good	0.382 \| good	10.817 \| good	0.041 \| good
2025-12-27T17:00:00.000Z	38 \| good	6.564 \| good	10.312 \| good	31.759 \| good	0.382 \| good	3.041 \| good	0.062 \| good
2025-12-27T18:00:00.000Z	33 \| good	6.221 \| good	14.195 \| good	31.693 \| good	0.382 \| good	3.65 \| good	0.08 \| good
2025-12-27T19:00:00.000Z	33 \| good	5.535 \| good	13.585 \| good	31.124 \| good	0.462 \| good	5.653 \| good	0.118 \| good
2025-12-27T20:00:00.000Z	33 \| good	5.511 \| good	9.385 \| good	31.228 \| good	0.351 \| good	4.884 \| good	0.159 \| good
2025-12-27T21:00:00.000Z	30 \| good	4.854 \| good	9.663 \| good	31.682 \| good	0.352 \| good	9.947 \| good	0.119 \| good
2025-12-27T22:00:00.000Z	31 \| good	5.097 \| good	13.103 \| good	32.625 \| good	0.382 \| good	3.911 \| good	0.14 \| good
2025-12-27T23:00:00.000Z	31 \| good	4.447 \| good	9.966 \| good	33.619 \| good	0.348 \| good	5.275 \| good	0.105 \| good
2025-12-28T00:00:00.000Z	29 \| good	4.718 \| good	16.102 \| good	30.979 \| good	0.382 \| good	5.09 \| good	1.101 \| good
2025-12-28T01:00:00.000Z	29 \| good	4.413 \| good	8.852 \| good	30.668 \| good	0.563 \| good	4.148 \| good	1.079 \| good
2025-12-28T02:00:00.000Z	30 \| good	4.381 \| good	10.595 \| good	31.948 \| good	0.483 \| good	3.23 \| good	1.235 \| good
2025-12-28T03:00:00.000Z	31 \| good	4.376 \| good	11.344 \| good	33.341 \| good	0.442 \| good	3.245 \| good	0.638 \| good
2025-12-28T04:00:00.000Z	31 \| good	4.28 \| good	7.554 \| good	32.984 \| good	0.442 \| good	3.059 \| good	0.677 \| good
2025-12-28T05:00:00.000Z	31 \| good	4.823 \| good	12.532 \| good	32.627 \| good	0.382 \| good	3.044 \| good	0.432 \| good
2025-12-28T06:00:00.000Z	29 \| good	5 \| good	13.136 \| good	31.477 \| good	0.338 \| good	2.495 \| good	0.033 \| good
2025-12-28T07:00:00.000Z	29 \| good	4.863 \| good	14.929 \| good	31.096 \| good	0.338 \| good	3.077 \| good	0.042 \| good
2025-12-28T08:00:00.000Z	29 \| good	5.25 \| good	11.407 \| good	31.401 \| good	0.339 \| good	2.306 \| good	0.121 \| good
2025-12-28T09:00:00.000Z	29 \| good	5.039 \| good	12.571 \| good	31.289 \| good	0.412 \| good	2.561 \| good	0.122 \| good
2025-12-28T10:00:00.000Z	30 \| good	4.729 \| good	13.488 \| good	31.975 \| good	0.403 \| good	2.428 \| good	0.121 \| good
2025-12-28T11:00:00.000Z	31 \| good	4.303 \| good	12.285 \| good	33.218 \| good	0.318 \| good	2.102 \| good	0.12 \| good
2025-12-28T12:00:00.000Z	31 \| good	4.441 \| good	16.055 \| good	32.642 \| good	0.327 \| good	2.126 \| good	0.119 \| good
2025-12-28T13:00:00.000Z	31 \| good	4.575 \| good	13.132 \| good	34.131 \| good	0.244 \| good	1.724 \| good	0.117 \| good
2025-12-28T14:00:00.000Z	31 \| good	4.966 \| good	11.867 \| good	34.391 \| good	0.206 \| good	2.018 \| good	0.12 \| good
2025-12-28T15:00:00.000Z	31 \| good	4.73 \| good	13.843 \| good	34.214 \| good	0.222 \| good	2.115 \| good	0.122 \| good
2025-12-28T16:00:00.000Z	31 \| good	4.675 \| good	15.997 \| good	32.834 \| good	0.254 \| good	2.38 \| good	0.122 \| good
2025-12-28T17:00:00.000Z	30 \| good	4.814 \| good	16.214 \| good	32.495 \| good	0.265 \| good	2.52 \| good	0.124 \| good
2025-12-28T18:00:00.000Z	31 \| good	5.248 \| good	16.716 \| good	33.181 \| good	0.305 \| good	2.564 \| good	0.127 \| good
2025-12-28T19:00:00.000Z	33 \| good	5.649 \| good	17.08 \| good	31.769 \| good	0.325 \| good	2.717 \| good	0.127 \| good
2025-12-28T20:00:00.000Z	33 \| good	5.936 \| good	14.53 \| good	30.905 \| good	0.342 \| good	2.848 \| good	0.126 \| good
2025-12-28T20:00:00.000Z	29 \| good	5.299 \| good	14.709 \| good	31.419 \| good	0.327 \| good	3.28 \| good	0.126 \| good
2025-12-28T19:00:00.000Z	33 \| good	5.607 \| good	17.052 \| good	31.746 \| good	0.325 \| good	2.732 \| good	0.127 \| good
2025-12-28T20:00:00.000Z	33 \| good	5.888 \| good	14.519 \| good	30.848 \| good	0.341 \| good	2.872 \| good	0.126 \| good
2025-12-28T21:00:00.000Z	33 \| good	5.785 \| good	15.359 \| good	30.135 \| good	0.34 \| good	3.02 \| good	0.126 \| good
2025-12-28T22:00:00.000Z	33 \| good	5.87 \| good	17.168 \| good	29.024 \| good	0.345 \| good	3.145 \| good	0.127 \| good
2025-12-28T23:00:00.000Z	33 \| good	5.887 \| good	17.788 \| good	26.982 \| good	0.343 \| good	3.142 \| good	0.127 \| good
2025-12-29T00:00:00.000Z	33 \| good	6.318 \| good	16.393 \| good	25.589 \| good	0.34 \| good	3.254 \| good	0.128 \| good
2025-12-29T01:00:00.000Z	38 \| good	7.169 \| good	13.266 \| good	27.303 \| good	0.369 \| good	3.593 \| good	0.131 \| good
2025-12-29T02:00:00.000Z	44 \| good	7.728 \| good	15.166 \| good	26.017 \| good	0.548 \| good	3.818 \| good	0.136 \| good
2025-12-29T03:00:00.000Z	44 \| good	7.628 \| good	14.734 \| good	24.342 \| good	0.775 \| good	3.472 \| good	0.146 \| good
2025-12-29T04:00:00.000Z	44 \| good	7.539 \| good	13.951 \| good	26.322 \| good	0.822 \| good	2.981 \| good	0.148 \| good
2025-12-29T05:00:00.000Z	38 \| good	7.265 \| good	13.921 \| good	27.089 \| good	0.887 \| good	2.871 \| good	0.148 \| good
2025-12-29T06:00:00.000Z	38 \| good	6.929 \| good	13.662 \| good	26.79 \| good	0.892 \| good	2.975 \| good	0.152 \| good
2025-12-29T07:00:00.000Z	38 \| good	6.759 \| good	12.9 \| good	27.033 \| good	0.906 \| good	3.962 \| good	0.155 \| good
2025-12-29T08:00:00.000Z	38 \| good	6.555 \| good	14.983 \| good	25.588 \| good	0.965 \| good	5.754 \| good	0.162 \| good
2025-12-29T09:00:00.000Z	33 \| good	6.099 \| good	13.955 \| good	23.596 \| good	0.989 \| good	6.692 \| good	0.164 \| good
2025-12-29T10:00:00.000Z	27 \| good	5.426 \| good	12.31 \| good	23.988 \| good	0.963 \| good	6.693 \| good	0.167 \| good
2025-12-29T11:00:00.000Z	27 \| good	4.786 \| good	10.881 \| good	26.509 \| good	0.888 \| good	5.765 \| good	0.157 \| good
2025-12-29T12:00:00.000Z	27 \| good	4.34 \| good	9.94 \| good	29.405 \| good	0.797 \| good	4.755 \| good	0.147 \| good
2025-12-29T13:00:00.000Z	27 \| good	3.931 \| good	9.531 \| good	29.497 \| good	0.626 \| good	4.17 \| good	0.14 \| good
2025-12-29T14:00:00.000Z	27 \| good	3.622 \| good	9.809 \| good	29.28 \| good	0.534 \| good	4.259 \| good	0.138 \| good
2025-12-29T15:00:00.000Z	25 \| good	3.905 \| good	10.217 \| good	26.825 \| good	0.502 \| good	5.138 \| good	0.136 \| good
2025-12-29T16:00:00.000Z	27 \| good	4.756 \| good	10.61 \| good	26.526 \| good	0.534 \| good	6.441 \| good	0.137 \| good
2025-12-29T17:00:00.000Z	33 \| good	5.709 \| good	11.267 \| good	23.034 \| good	0.592 \| good	7.316 \| good	0.14 \| good
2025-12-29T18:00:00.000Z	38 \| good	7.076 \| good	12.546 \| good	21.991 \| good	0.57 \| good	7.948 \| good	0.147 \| good
2025-12-29T19:00:00.000Z	44 \| good	7.963 \| good	13.123 \| good	22.459 \| good	0.592 \| good	8.129 \| good	0.151 \| good
2025-12-29T20:00:00.000Z	44 \| good	8.289 \| good	12.923 \| good	22.543 \| good	0.649 \| good	7.823 \| good	0.147 \| good
2025-12-29T21:00:00.000Z	44 \| good	8.089 \| good	13.587 \| good	23.892 \| good	0.657 \| good	6.402 \| good	0.143 \| good
2025-12-29T22:00:00.000Z	44 \| good	7.558 \| good	13.624 \| good	24.893 \| good	0.596 \| good	5.095 \| good	0.151 \| good
2025-12-29T23:00:00.000Z	33 \| good	6.434 \| good	12.383 \| good	26.113 \| good	0.617 \| good	4.479 \| good	0.149 \| good
2025-12-30T00:00:00.000Z	27 \| good	5.227 \| good	11.387 \| good	28.453 \| good	0.441 \| good	3.442 \| good	0.135 \| good
2025-12-30T01:00:00.000Z	28 \| good	4.132 \| good	10.053 \| good	30.399 \| good	0.358 \| good	2.172 \| good	0.128 \| good
2025-12-30T02:00:00.000Z	28 \| good	3.827 \| good	11.731 \| good	30.252 \| good	0.343 \| good	1.893 \| good	0.127 \| good
2025-12-30T03:00:00.000Z	30 \| good	4.085 \| good	12.431 \| good	32.316 \| good	0.351 \| good	1.713 \| good	0.125 \| good
2025-12-30T04:00:00.000Z	31 \| good	4.151 \| good	12.214 \| good	32.838 \| good	0.375 \| good	1.633 \| good	0.124 \| good
2025-12-30T05:00:00.000Z	31 \| good	4.305 \| good	11.267 \| good	32.593 \| good	0.378 \| good	1.737 \| good	0.123 \| good
2025-12-30T06:00:00.000Z	30 \| good	4.067 \| good	10.513 \| good	32.015 \| good	0.389 \| good	2.045 \| good	0.124 \| good
2025-12-30T07:00:00.000Z	29 \| good	4.073 \| good	10.258 \| good	30.984 \| good	0.536 \| good	3.147 \| good	0.13 \| good
2025-12-30T08:00:00.000Z	28 \| good	4.181 \| good	10.481 \| good	30.439 \| good	0.684 \| good	4.324 \| good	0.136 \| good
2025-12-30T09:00:00.000Z	27 \| good	4.301 \| good	12.747 \| good	28.728 \| good	0.806 \| good	5.984 \| good	0.141 \| good
2025-12-30T10:00:00.000Z	28 \| good	4.669 \| good	11.301 \| good	30.023 \| good	0.974 \| good	6.523 \| good	0.145 \| good
2025-12-30T11:00:00.000Z	29 \| good	4.199 \| good	10.682 \| good	31.088 \| good	0.911 \| good	5.816 \| good	0.152 \| good
2025-12-30T12:00:00.000Z	31 \| good	3.591 \| good	10.306 \| good	33.768 \| good	0.773 \| good	5.178 \| good	0.152 \| good
2025-12-30T13:00:00.000Z	31 \| good	3.529 \| good	10.11 \| good	33.22 \| good	0.656 \| good	5.039 \| good	0.146 \| good
2025-12-30T14:00:00.000Z	29 \| good	3.832 \| good	9.226 \| good	30.891 \| good	0.638 \| good	6.118 \| good	0.145 \| good
2025-12-30T15:00:00.000Z	29 \| good	4.149 \| good	9.81 \| good	31.011 \| good	0.659 \| good	7.839 \| good	0.147 \| good
2025-12-30T16:00:00.000Z	27 \| good	5.321 \| good	10.354 \| good	25.45 \| good	0.738 \| good	10.443 \| good	0.157 \| good
2025-12-30T17:00:00.000Z	33 \| good	6.183 \| good	12.54 \| good	21.091 \| good	0.815 \| good	13.545 \| good	0.168 \| good
2025-12-30T18:00:00.000Z	44 \| good	7.924 \| good	14.261 \| good	16.544 \| good	0.958 \| good	16.026 \| good	0.184 \| 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?