What are the current PM10 levels at Leicestershire, UK?

The current PM10 levels in Leicestershire, UK are 11.924 μg/m3.

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

The current sulfur dioxide (SO2) levels in Leicestershire, UK are 0.813 ppb.

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

The current ozone (O3) levels at Leicestershire, UK is 24.756 ppm.

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

The current nitrogen dioxide (NO2) levels at Leicestershire, UK is 24.517 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 6.909 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)

7.68 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

11.88 μg/m³

155

255

425

605+

Ozone (O₃)

19.85 ppb

201

201+

Sulfur Dioxide (SO₂)

0.68 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

21.35 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.08 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
2026-02-10T00:00:00.000Z	38 \| good	7.179 \| good	9.273 \| good	22.946 \| good	0.894 \| good	5.818 \| good	0.627 \| good
2026-02-10T01:00:00.000Z	44 \| good	7.573 \| good	10.813 \| good	23.678 \| good	0.88 \| good	3.991 \| good	0.479 \| good
2026-02-10T02:00:00.000Z	44 \| good	7.579 \| good	11.394 \| good	24.332 \| good	0.945 \| good	4.114 \| good	0.493 \| good
2026-02-10T03:00:00.000Z	44 \| good	8.42 \| good	11.194 \| good	24.388 \| good	0.941 \| good	3.277 \| good	0.522 \| good
2026-02-10T04:00:00.000Z	49 \| good	8.521 \| good	11.644 \| good	23.31 \| good	0.659 \| good	2.671 \| good	0.473 \| good
2026-02-10T05:00:00.000Z	49 \| good	9.318 \| good	20.728 \| good	23.102 \| good	0.59 \| good	2.85 \| good	0.478 \| good
2026-02-10T06:00:00.000Z	52 \| moderate	10.084 \| good	21.576 \| good	22.966 \| good	0.664 \| good	3.717 \| good	0.031 \| good
2026-02-10T07:00:00.000Z	56 \| moderate	11.826 \| good	25.879 \| good	22.032 \| good	0.663 \| good	5.377 \| good	0.033 \| good
2026-02-10T08:00:00.000Z	54 \| moderate	10.503 \| good	25.249 \| good	20.412 \| good	0.664 \| good	9.041 \| good	0.046 \| good
2026-02-10T09:00:00.000Z	54 \| moderate	11.266 \| good	22.582 \| good	19.895 \| good	0.724 \| good	12.047 \| good	0.051 \| good
2026-02-10T10:00:00.000Z	54 \| moderate	11.134 \| good	24.14 \| good	18.47 \| good	0.857 \| good	9.823 \| good	0.037 \| good
2026-02-10T11:00:00.000Z	56 \| moderate	12.226 \| fine	21.861 \| good	17.116 \| good	0.829 \| good	9.916 \| good	0.036 \| good
2026-02-10T12:00:00.000Z	56 \| moderate	11.652 \| good	21.269 \| good	15.941 \| good	0.674 \| good	9.2 \| good	0.031 \| good
2026-02-10T13:00:00.000Z	54 \| moderate	11.432 \| good	25.766 \| good	14.355 \| good	0.73 \| good	10.121 \| good	0.03 \| good
2026-02-10T14:00:00.000Z	56 \| moderate	11.576 \| good	17.141 \| good	14.038 \| good	1.925 \| good	14.046 \| good	0.037 \| good
2026-02-10T15:00:00.000Z	60 \| moderate	13.581 \| fine	24.023 \| good	14.653 \| good	1.488 \| good	10.358 \| good	0.034 \| good
2026-02-10T16:00:00.000Z	56 \| moderate	11.85 \| good	15.082 \| good	14.685 \| good	0.761 \| good	10.74 \| good	0.036 \| good
2026-02-10T17:00:00.000Z	54 \| moderate	11.395 \| good	14.968 \| good	12.387 \| good	0.744 \| good	12.91 \| good	0.04 \| good
2026-02-10T18:00:00.000Z	56 \| moderate	12.046 \| good	19.673 \| good	12.207 \| good	0.653 \| good	11.681 \| good	0.042 \| good
2026-02-10T19:00:00.000Z	56 \| moderate	11.874 \| good	14.201 \| good	14.766 \| good	0.449 \| good	13.315 \| good	0.056 \| good
2026-02-10T20:00:00.000Z	54 \| moderate	11.451 \| good	14.499 \| good	13.389 \| good	0.672 \| good	13.462 \| good	0.059 \| good
2026-02-10T21:00:00.000Z	56 \| moderate	12.43 \| fine	14.052 \| good	15.25 \| good	0.719 \| good	11.807 \| good	0.064 \| good
2026-02-10T22:00:00.000Z	54 \| moderate	10.82 \| good	12.217 \| good	15.576 \| good	0.457 \| good	12.834 \| good	0.061 \| good
2026-02-10T23:00:00.000Z	56 \| moderate	12.251 \| fine	15.098 \| good	13.934 \| good	0.458 \| good	9.516 \| good	0.055 \| good
2026-02-11T00:00:00.000Z	54 \| moderate	11.391 \| good	50.126 \| good	17.942 \| good	0.677 \| good	9.859 \| good	0.817 \| good
2026-02-11T01:00:00.000Z	56 \| moderate	11.979 \| good	19.771 \| good	19.33 \| good	0.555 \| good	10.361 \| good	0.781 \| good
2026-02-11T02:00:00.000Z	56 \| moderate	11.605 \| good	20.956 \| good	13.515 \| good	0.607 \| good	9.249 \| good	0.671 \| good
2026-02-11T03:00:00.000Z	58 \| moderate	12.789 \| fine	21.829 \| good	14.417 \| good	0.633 \| good	8.107 \| good	0.514 \| good
2026-02-11T04:00:00.000Z	62 \| moderate	14.646 \| fine	15.039 \| good	15.183 \| good	0.458 \| good	6.635 \| good	0.465 \| good
2026-02-11T05:00:00.000Z	62 \| moderate	15.462 \| fine	15.705 \| good	12.456 \| good	0.459 \| good	12.481 \| good	0.379 \| good
2026-02-11T06:00:00.000Z	56 \| moderate	11.838 \| good	12.405 \| good	9.908 \| good	0.542 \| good	12.858 \| good	0.036 \| good
2026-02-11T07:00:00.000Z	54 \| moderate	10.628 \| good	11.133 \| good	11.691 \| good	0.545 \| good	11.733 \| good	0.043 \| good
2026-02-11T08:00:00.000Z	49 \| good	9.166 \| good	10.684 \| good	10.152 \| good	0.528 \| good	16.188 \| good	0.049 \| good
2026-02-11T09:00:00.000Z	38 \| good	7.159 \| good	10.336 \| good	5.98 \| good	0.607 \| good	15.595 \| good	0.047 \| good
2026-02-11T10:00:00.000Z	27 \| good	4.827 \| good	25.05 \| good	8.511 \| good	0.736 \| good	18.442 \| good	0.052 \| good
2026-02-11T11:00:00.000Z	44 \| good	7.719 \| good	19.794 \| good	14.557 \| good	0.595 \| good	17.567 \| good	0.05 \| good
2026-02-11T12:00:00.000Z	44 \| good	8.002 \| good	22.244 \| good	16.109 \| good	0.68 \| good	14.947 \| good	0.026 \| good
2026-02-11T13:00:00.000Z	38 \| good	7.187 \| good	11.818 \| good	23.36 \| good	0.738 \| good	16.125 \| good	0.027 \| good
2026-02-11T14:00:00.000Z	38 \| good	7.108 \| good	9.262 \| good	19.4 \| good	0.847 \| good	14.813 \| good	0.027 \| good
2026-02-11T15:00:00.000Z	38 \| good	7.29 \| good	10.418 \| good	20.419 \| good	0.897 \| good	13.878 \| good	0.03 \| good
2026-02-11T16:00:00.000Z	38 \| good	6.595 \| good	11.164 \| good	24.51 \| good	0.898 \| good	12.894 \| good	0.033 \| good
2026-02-11T17:00:00.000Z	27 \| good	1.4 \| good	7.956 \| good	29.14 \| good	1.119 \| good	7.059 \| good	0.04 \| good
2026-02-11T18:00:00.000Z	33 \| good	6.166 \| good	13.225 \| good	26.576 \| good	1.314 \| good	12.222 \| good	0.052 \| good
2026-02-11T19:00:00.000Z	33 \| good	6.259 \| good	10.334 \| good	29.704 \| good	0.755 \| good	23.209 \| good	0.065 \| good
2026-02-11T20:00:00.000Z	38 \| good	6.579 \| good	8.548 \| good	23.967 \| good	0.757 \| good	32.052 \| good	0.08 \| good
2026-02-11T21:00:00.000Z	33 \| good	6.201 \| good	8.707 \| good	23.495 \| good	0.756 \| good	14.441 \| good	0.068 \| good
2026-02-11T22:00:00.000Z	44 \| good	7.829 \| good	9.731 \| good	19.591 \| good	0.588 \| good	19.217 \| good	0.088 \| good
2026-02-11T23:00:00.000Z	44 \| good	8.31 \| good	9.728 \| good	19.027 \| good	0.637 \| good	29.894 \| good	0.083 \| good
2026-02-11T23:00:00.000Z	44 \| good	7.683 \| good	11.882 \| good	19.85 \| good	0.682 \| good	21.346 \| good	0.082 \| good
2026-02-11T23:00:00.000Z	54 \| moderate	11.257 \| good	19.142 \| good	14.938 \| good	0.734 \| good	15.279 \| good	0.189 \| good
2026-02-12T00:00:00.000Z	56 \| moderate	12.317 \| fine	19.806 \| good	12.956 \| good	0.744 \| good	15.859 \| good	0.186 \| good
2026-02-12T01:00:00.000Z	60 \| moderate	14.334 \| fine	20.066 \| good	13.945 \| good	0.481 \| good	14.481 \| good	0.179 \| good
2026-02-12T02:00:00.000Z	62 \| moderate	14.729 \| fine	20.841 \| good	12.363 \| good	0.483 \| good	13.147 \| good	0.175 \| good
2026-02-12T03:00:00.000Z	66 \| moderate	16.861 \| fine	22.253 \| good	10.643 \| good	0.465 \| good	14.292 \| good	0.175 \| good
2026-02-12T04:00:00.000Z	62 \| moderate	15.377 \| fine	20.341 \| good	8.533 \| good	0.529 \| good	12.664 \| good	0.197 \| good
2026-02-12T05:00:00.000Z	60 \| moderate	13.848 \| fine	19.968 \| good	8.322 \| good	0.6 \| good	12.276 \| good	0.2 \| good
2026-02-12T06:00:00.000Z	60 \| moderate	13.806 \| fine	17.596 \| good	9.387 \| good	0.435 \| good	10.016 \| good	0.178 \| good
2026-02-12T07:00:00.000Z	62 \| moderate	14.947 \| fine	20.791 \| good	8.336 \| good	0.499 \| good	10.605 \| good	0.198 \| good
2026-02-12T08:00:00.000Z	44 \| good	7.717 \| good	12.666 \| good	6.59 \| good	0.448 \| good	12.939 \| good	0.205 \| good
2026-02-12T09:00:00.000Z	33 \| good	6.32 \| good	7.706 \| good	8.849 \| good	0.455 \| good	10.561 \| good	0.237 \| good
2026-02-12T10:00:00.000Z	33 \| good	5.725 \| good	6.298 \| good	10.458 \| good	0.498 \| good	8.622 \| good	0.244 \| good
2026-02-12T11:00:00.000Z	22 \| good	4.211 \| good	5.507 \| good	12.455 \| good	0.462 \| good	6.407 \| good	0.245 \| good
2026-02-12T12:00:00.000Z	22 \| good	4.45 \| good	5.452 \| good	15.046 \| good	0.366 \| good	5.317 \| good	0.241 \| good
2026-02-12T13:00:00.000Z	22 \| good	4.322 \| good	6.057 \| good	16.113 \| good	0.303 \| good	4.51 \| good	0.228 \| good
2026-02-12T14:00:00.000Z	22 \| good	4.18 \| good	6.337 \| good	16.976 \| good	0.3 \| good	4.295 \| good	0.228 \| good
2026-02-12T15:00:00.000Z	27 \| good	5.102 \| good	7.172 \| good	17.482 \| good	0.345 \| good	4.623 \| good	0.23 \| good
2026-02-12T16:00:00.000Z	27 \| good	5.241 \| good	8.911 \| good	17.823 \| good	0.422 \| good	5.161 \| good	0.235 \| good
2026-02-12T17:00:00.000Z	33 \| good	5.746 \| good	9.413 \| good	17.962 \| good	0.506 \| good	6.102 \| good	0.232 \| good
2026-02-12T18:00:00.000Z	38 \| good	7.319 \| good	10.752 \| good	18.584 \| good	0.545 \| good	6.229 \| good	0.234 \| good
2026-02-12T19:00:00.000Z	49 \| good	8.771 \| good	11.282 \| good	20.302 \| good	0.341 \| good	5.712 \| good	0.222 \| good
2026-02-12T20:00:00.000Z	38 \| good	7.32 \| good	9.414 \| good	22.389 \| good	0.299 \| good	4.574 \| good	0.198 \| good
2026-02-12T21:00:00.000Z	33 \| good	6.013 \| good	8.481 \| good	24.044 \| good	0.283 \| good	3.694 \| good	0.183 \| good
2026-02-12T22:00:00.000Z	27 \| good	5.054 \| good	6.804 \| good	24.287 \| good	0.237 \| good	3.176 \| good	0.176 \| good
2026-02-12T23:00:00.000Z	27 \| good	4.706 \| good	5.887 \| good	25.161 \| good	0.174 \| good	2.615 \| good	0.171 \| good
2026-02-13T00:00:00.000Z	25 \| good	3.998 \| good	5.125 \| good	27.257 \| good	0.136 \| good	2.217 \| good	0.163 \| good
2026-02-13T01:00:00.000Z	26 \| good	3.36 \| good	4.748 \| good	27.94 \| good	0.105 \| good	1.971 \| good	0.152 \| good
2026-02-13T02:00:00.000Z	25 \| good	3.228 \| good	4.337 \| good	27.456 \| good	0.095 \| good	1.755 \| good	0.148 \| good
2026-02-13T03:00:00.000Z	27 \| good	3.043 \| good	4.225 \| good	29.345 \| good	0.092 \| good	1.58 \| good	0.147 \| good
2026-02-13T04:00:00.000Z	31 \| good	2.783 \| good	4.349 \| good	32.694 \| good	0.082 \| good	1.424 \| good	0.144 \| good
2026-02-13T05:00:00.000Z	31 \| good	3.025 \| good	4.681 \| good	33.148 \| good	0.089 \| good	1.275 \| good	0.14 \| good
2026-02-13T06:00:00.000Z	31 \| good	3.07 \| good	4.705 \| good	33.451 \| good	0.148 \| good	1.188 \| good	0.141 \| good
2026-02-13T07:00:00.000Z	31 \| good	2.932 \| good	5.569 \| good	33.804 \| good	0.171 \| good	1.56 \| good	0.14 \| good
2026-02-13T08:00:00.000Z	31 \| good	3.22 \| good	6.054 \| good	34.165 \| good	0.27 \| good	2.554 \| good	0.141 \| good
2026-02-13T09:00:00.000Z	32 \| good	3.203 \| good	6.224 \| good	35.031 \| good	0.326 \| good	2.907 \| good	0.142 \| good
2026-02-13T10:00:00.000Z	34 \| good	3.22 \| good	5.896 \| good	36.743 \| good	0.356 \| good	2.94 \| good	0.143 \| good
2026-02-13T11:00:00.000Z	35 \| good	2.892 \| good	5.627 \| good	38.084 \| good	0.371 \| good	2.784 \| good	0.143 \| good
2026-02-13T12:00:00.000Z	36 \| good	2.931 \| good	5.24 \| good	38.668 \| good	0.343 \| good	2.487 \| good	0.141 \| good
2026-02-13T13:00:00.000Z	36 \| good	2.71 \| good	4.732 \| good	39.191 \| good	0.34 \| good	2.187 \| good	0.142 \| good
2026-02-13T14:00:00.000Z	37 \| good	2.55 \| good	4.893 \| good	39.95 \| good	0.339 \| good	2.081 \| good	0.143 \| good
2026-02-13T15:00:00.000Z	37 \| good	2.337 \| good	5 \| good	40.426 \| good	0.335 \| good	2.082 \| good	0.142 \| good
2026-02-13T16:00:00.000Z	37 \| good	2.47 \| good	5.787 \| good	39.647 \| good	0.355 \| good	2.545 \| good	0.143 \| good
2026-02-13T17:00:00.000Z	33 \| good	2.995 \| good	6.037 \| good	36.399 \| good	0.407 \| good	3.59 \| good	0.147 \| good
2026-02-13T18:00:00.000Z	31 \| good	3.76 \| good	6.982 \| good	33.904 \| good	0.52 \| good	4.9 \| good	0.156 \| good
2026-02-13T19:00:00.000Z	28 \| good	4.192 \| good	7.111 \| good	30.132 \| good	0.601 \| good	7.323 \| good	0.162 \| good
2026-02-13T20:00:00.000Z	27 \| good	5.1 \| good	7.43 \| good	28.789 \| good	0.689 \| good	9.497 \| good	0.165 \| good
2026-02-13T21:00:00.000Z	33 \| good	5.729 \| good	8.595 \| good	28.23 \| good	0.79 \| good	8.879 \| good	0.163 \| good
2026-02-13T22:00:00.000Z	33 \| good	6.385 \| good	10.788 \| good	26.472 \| good	0.821 \| good	9.301 \| good	0.163 \| 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
Leicester Forest East, Leicestershire	44 Good	7.98μg/m³ Good	8.69μg/m³ Good	25.38ppb Good	0.82ppb Good	22.93ppb Good	0.07ppm Good
Market Harborough, Leicestershire	44 Good	7.55μg/m³ Good	29.03μg/m³ Good	26.21ppb Good	0.77ppb Good	17.35ppb Good	0.05ppm Good
Melton Mowbray, Leicestershire	44 Good	7.59μg/m³ Good	35.65μg/m³ Good	24.45ppb Good	0.83ppb Good	9.91ppb Good	0.06ppm Good
Lutterworth, Leicestershire	38 Good	7.25μg/m³ Good	14.08μg/m³ Good	26.33ppb Good	0.76ppb Good	19.75ppb Good	0.06ppm Good
Earl Shilton, Leicestershire	38 Good	7.13μg/m³ Good	9.19μg/m³ Good	23.93ppb Good	0.82ppb Good	21.18ppb Good	0.07ppm Good
Blaby, Leicestershire	38 Good	7.06μg/m³ Good	9.46μg/m³ Good	23.52ppb Good	0.82ppb Good	27.80ppb Good	0.07ppm Good
Birstall, Leicestershire	38 Good	7.01μg/m³ Good	9.65μg/m³ Good	23.47ppb Good	0.82ppb Good	33.51ppb Good	0.07ppm Good
Oadby, Leicestershire	38 Good	7.09μg/m³ Good	9.79μg/m³ Good	23.54ppb Good	0.82ppb Good	29.12ppb Good	0.07ppm Good
Hinckley, Leicestershire	38 Good	7.13μg/m³ Good	9.19μg/m³ Good	23.93ppb Good	0.82ppb Good	21.18ppb Good	0.07ppm Good
Syston, Leicestershire	38 Good	7.07μg/m³ Good	10.64μg/m³ Good	23.46ppb Good	0.81ppb Good	31.15ppb Good	0.07ppm Good
Wigston, Leicestershire	38 Good	7.07μg/m³ Good	9.46μg/m³ Good	23.52ppb Good	0.82ppb Good	27.91ppb Good	0.07ppm Good
Enderby, Leicestershire	38 Good	6.92μg/m³ Good	8.87μg/m³ Good	23.39ppb Good	0.82ppb Good	29.21ppb Good	0.07ppm Good
Mountsorrel, Leicestershire	38 Good	6.88μg/m³ Good	9.46μg/m³ Good	23.35ppb Good	0.82ppb Good	31.81ppb Good	0.07ppm Good
Loughborough, Leicestershire	33 Good	6.32μg/m³ Good	8.53μg/m³ Good	26.17ppb Good	0.81ppb Good	23.07ppb Good	0.07ppm Good
Shepshed, Leicestershire	33 Good	6.32μg/m³ Good	8.53μg/m³ Good	26.17ppb Good	0.81ppb Good	23.07ppb Good	0.07ppm Good
Coalville, Leicestershire	33 Good	6.05μg/m³ Good	7.88μg/m³ Good	26.14ppb Good	0.82ppb Good	26.03ppb Good	0.07ppm Good
Whitwick, Leicestershire	33 Good	6.05μg/m³ Good	7.88μg/m³ Good	26.14ppb Good	0.82ppb Good	26.03ppb Good	0.07ppm Good
AshbydelaZouch, Leicestershire	33 Good	5.89μg/m³ Good	8.65μg/m³ Good	26.49ppb Good	0.82ppb Good	20.29ppb Good	0.07ppm Good

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

0.09ppm

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 05:00:00 on 2026-02-11.

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

The best air quality in Leicestershire, UK was recorded at 05:00:00 on 2026-02-11.

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

The real-time air quality index in Leicestershire, UK is 38, 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 6.909 μg/m³.

What are the current PM₁₀ levels at Leicestershire, UK?

The current PM₁₀ levels in Leicestershire, UK are 11.924 μg/m³.

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

The current carbon monoxide (CO) level in Leicestershire, UK is 0.066 ppm.

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

The current sulfur dioxide (SO₂) levels in Leicestershire, UK are 0.813 ppb.

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

The current ozone (O₃) levels at Leicestershire, UK is 24.756 ppm.

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

The current nitrogen dioxide (NO₂) levels at Leicestershire, UK is 24.517 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-02-10T00:00:00.000Z	38 \| good	7.179 \| good	9.273 \| good	22.946 \| good	0.894 \| good	5.818 \| good	0.627 \| good
2026-02-10T01:00:00.000Z	44 \| good	7.573 \| good	10.813 \| good	23.678 \| good	0.88 \| good	3.991 \| good	0.479 \| good
2026-02-10T02:00:00.000Z	44 \| good	7.579 \| good	11.394 \| good	24.332 \| good	0.945 \| good	4.114 \| good	0.493 \| good
2026-02-10T03:00:00.000Z	44 \| good	8.42 \| good	11.194 \| good	24.388 \| good	0.941 \| good	3.277 \| good	0.522 \| good
2026-02-10T04:00:00.000Z	49 \| good	8.521 \| good	11.644 \| good	23.31 \| good	0.659 \| good	2.671 \| good	0.473 \| good
2026-02-10T05:00:00.000Z	49 \| good	9.318 \| good	20.728 \| good	23.102 \| good	0.59 \| good	2.85 \| good	0.478 \| good
2026-02-10T06:00:00.000Z	52 \| moderate	10.084 \| good	21.576 \| good	22.966 \| good	0.664 \| good	3.717 \| good	0.031 \| good
2026-02-10T07:00:00.000Z	56 \| moderate	11.826 \| good	25.879 \| good	22.032 \| good	0.663 \| good	5.377 \| good	0.033 \| good
2026-02-10T08:00:00.000Z	54 \| moderate	10.503 \| good	25.249 \| good	20.412 \| good	0.664 \| good	9.041 \| good	0.046 \| good
2026-02-10T09:00:00.000Z	54 \| moderate	11.266 \| good	22.582 \| good	19.895 \| good	0.724 \| good	12.047 \| good	0.051 \| good
2026-02-10T10:00:00.000Z	54 \| moderate	11.134 \| good	24.14 \| good	18.47 \| good	0.857 \| good	9.823 \| good	0.037 \| good
2026-02-10T11:00:00.000Z	56 \| moderate	12.226 \| fine	21.861 \| good	17.116 \| good	0.829 \| good	9.916 \| good	0.036 \| good
2026-02-10T12:00:00.000Z	56 \| moderate	11.652 \| good	21.269 \| good	15.941 \| good	0.674 \| good	9.2 \| good	0.031 \| good
2026-02-10T13:00:00.000Z	54 \| moderate	11.432 \| good	25.766 \| good	14.355 \| good	0.73 \| good	10.121 \| good	0.03 \| good
2026-02-10T14:00:00.000Z	56 \| moderate	11.576 \| good	17.141 \| good	14.038 \| good	1.925 \| good	14.046 \| good	0.037 \| good
2026-02-10T15:00:00.000Z	60 \| moderate	13.581 \| fine	24.023 \| good	14.653 \| good	1.488 \| good	10.358 \| good	0.034 \| good
2026-02-10T16:00:00.000Z	56 \| moderate	11.85 \| good	15.082 \| good	14.685 \| good	0.761 \| good	10.74 \| good	0.036 \| good
2026-02-10T17:00:00.000Z	54 \| moderate	11.395 \| good	14.968 \| good	12.387 \| good	0.744 \| good	12.91 \| good	0.04 \| good
2026-02-10T18:00:00.000Z	56 \| moderate	12.046 \| good	19.673 \| good	12.207 \| good	0.653 \| good	11.681 \| good	0.042 \| good
2026-02-10T19:00:00.000Z	56 \| moderate	11.874 \| good	14.201 \| good	14.766 \| good	0.449 \| good	13.315 \| good	0.056 \| good
2026-02-10T20:00:00.000Z	54 \| moderate	11.451 \| good	14.499 \| good	13.389 \| good	0.672 \| good	13.462 \| good	0.059 \| good
2026-02-10T21:00:00.000Z	56 \| moderate	12.43 \| fine	14.052 \| good	15.25 \| good	0.719 \| good	11.807 \| good	0.064 \| good
2026-02-10T22:00:00.000Z	54 \| moderate	10.82 \| good	12.217 \| good	15.576 \| good	0.457 \| good	12.834 \| good	0.061 \| good
2026-02-10T23:00:00.000Z	56 \| moderate	12.251 \| fine	15.098 \| good	13.934 \| good	0.458 \| good	9.516 \| good	0.055 \| good
2026-02-11T00:00:00.000Z	54 \| moderate	11.391 \| good	50.126 \| good	17.942 \| good	0.677 \| good	9.859 \| good	0.817 \| good
2026-02-11T01:00:00.000Z	56 \| moderate	11.979 \| good	19.771 \| good	19.33 \| good	0.555 \| good	10.361 \| good	0.781 \| good
2026-02-11T02:00:00.000Z	56 \| moderate	11.605 \| good	20.956 \| good	13.515 \| good	0.607 \| good	9.249 \| good	0.671 \| good
2026-02-11T03:00:00.000Z	58 \| moderate	12.789 \| fine	21.829 \| good	14.417 \| good	0.633 \| good	8.107 \| good	0.514 \| good
2026-02-11T04:00:00.000Z	62 \| moderate	14.646 \| fine	15.039 \| good	15.183 \| good	0.458 \| good	6.635 \| good	0.465 \| good
2026-02-11T05:00:00.000Z	62 \| moderate	15.462 \| fine	15.705 \| good	12.456 \| good	0.459 \| good	12.481 \| good	0.379 \| good
2026-02-11T06:00:00.000Z	56 \| moderate	11.838 \| good	12.405 \| good	9.908 \| good	0.542 \| good	12.858 \| good	0.036 \| good
2026-02-11T07:00:00.000Z	54 \| moderate	10.628 \| good	11.133 \| good	11.691 \| good	0.545 \| good	11.733 \| good	0.043 \| good
2026-02-11T08:00:00.000Z	49 \| good	9.166 \| good	10.684 \| good	10.152 \| good	0.528 \| good	16.188 \| good	0.049 \| good
2026-02-11T09:00:00.000Z	38 \| good	7.159 \| good	10.336 \| good	5.98 \| good	0.607 \| good	15.595 \| good	0.047 \| good
2026-02-11T10:00:00.000Z	27 \| good	4.827 \| good	25.05 \| good	8.511 \| good	0.736 \| good	18.442 \| good	0.052 \| good
2026-02-11T11:00:00.000Z	44 \| good	7.719 \| good	19.794 \| good	14.557 \| good	0.595 \| good	17.567 \| good	0.05 \| good
2026-02-11T12:00:00.000Z	44 \| good	8.002 \| good	22.244 \| good	16.109 \| good	0.68 \| good	14.947 \| good	0.026 \| good
2026-02-11T13:00:00.000Z	38 \| good	7.187 \| good	11.818 \| good	23.36 \| good	0.738 \| good	16.125 \| good	0.027 \| good
2026-02-11T14:00:00.000Z	38 \| good	7.108 \| good	9.262 \| good	19.4 \| good	0.847 \| good	14.813 \| good	0.027 \| good
2026-02-11T15:00:00.000Z	38 \| good	7.29 \| good	10.418 \| good	20.419 \| good	0.897 \| good	13.878 \| good	0.03 \| good
2026-02-11T16:00:00.000Z	38 \| good	6.595 \| good	11.164 \| good	24.51 \| good	0.898 \| good	12.894 \| good	0.033 \| good
2026-02-11T17:00:00.000Z	27 \| good	1.4 \| good	7.956 \| good	29.14 \| good	1.119 \| good	7.059 \| good	0.04 \| good
2026-02-11T18:00:00.000Z	33 \| good	6.166 \| good	13.225 \| good	26.576 \| good	1.314 \| good	12.222 \| good	0.052 \| good
2026-02-11T19:00:00.000Z	33 \| good	6.259 \| good	10.334 \| good	29.704 \| good	0.755 \| good	23.209 \| good	0.065 \| good
2026-02-11T20:00:00.000Z	38 \| good	6.579 \| good	8.548 \| good	23.967 \| good	0.757 \| good	32.052 \| good	0.08 \| good
2026-02-11T21:00:00.000Z	33 \| good	6.201 \| good	8.707 \| good	23.495 \| good	0.756 \| good	14.441 \| good	0.068 \| good
2026-02-11T22:00:00.000Z	44 \| good	7.829 \| good	9.731 \| good	19.591 \| good	0.588 \| good	19.217 \| good	0.088 \| good
2026-02-11T23:00:00.000Z	44 \| good	8.31 \| good	9.728 \| good	19.027 \| good	0.637 \| good	29.894 \| good	0.083 \| good
2026-02-11T23:00:00.000Z	44 \| good	7.683 \| good	11.882 \| good	19.85 \| good	0.682 \| good	21.346 \| good	0.082 \| good
2026-02-11T23:00:00.000Z	54 \| moderate	11.257 \| good	19.142 \| good	14.938 \| good	0.734 \| good	15.279 \| good	0.189 \| good
2026-02-12T00:00:00.000Z	56 \| moderate	12.317 \| fine	19.806 \| good	12.956 \| good	0.744 \| good	15.859 \| good	0.186 \| good
2026-02-12T01:00:00.000Z	60 \| moderate	14.334 \| fine	20.066 \| good	13.945 \| good	0.481 \| good	14.481 \| good	0.179 \| good
2026-02-12T02:00:00.000Z	62 \| moderate	14.729 \| fine	20.841 \| good	12.363 \| good	0.483 \| good	13.147 \| good	0.175 \| good
2026-02-12T03:00:00.000Z	66 \| moderate	16.861 \| fine	22.253 \| good	10.643 \| good	0.465 \| good	14.292 \| good	0.175 \| good
2026-02-12T04:00:00.000Z	62 \| moderate	15.377 \| fine	20.341 \| good	8.533 \| good	0.529 \| good	12.664 \| good	0.197 \| good
2026-02-12T05:00:00.000Z	60 \| moderate	13.848 \| fine	19.968 \| good	8.322 \| good	0.6 \| good	12.276 \| good	0.2 \| good
2026-02-12T06:00:00.000Z	60 \| moderate	13.806 \| fine	17.596 \| good	9.387 \| good	0.435 \| good	10.016 \| good	0.178 \| good
2026-02-12T07:00:00.000Z	62 \| moderate	14.947 \| fine	20.791 \| good	8.336 \| good	0.499 \| good	10.605 \| good	0.198 \| good
2026-02-12T08:00:00.000Z	44 \| good	7.717 \| good	12.666 \| good	6.59 \| good	0.448 \| good	12.939 \| good	0.205 \| good
2026-02-12T09:00:00.000Z	33 \| good	6.32 \| good	7.706 \| good	8.849 \| good	0.455 \| good	10.561 \| good	0.237 \| good
2026-02-12T10:00:00.000Z	33 \| good	5.725 \| good	6.298 \| good	10.458 \| good	0.498 \| good	8.622 \| good	0.244 \| good
2026-02-12T11:00:00.000Z	22 \| good	4.211 \| good	5.507 \| good	12.455 \| good	0.462 \| good	6.407 \| good	0.245 \| good
2026-02-12T12:00:00.000Z	22 \| good	4.45 \| good	5.452 \| good	15.046 \| good	0.366 \| good	5.317 \| good	0.241 \| good
2026-02-12T13:00:00.000Z	22 \| good	4.322 \| good	6.057 \| good	16.113 \| good	0.303 \| good	4.51 \| good	0.228 \| good
2026-02-12T14:00:00.000Z	22 \| good	4.18 \| good	6.337 \| good	16.976 \| good	0.3 \| good	4.295 \| good	0.228 \| good
2026-02-12T15:00:00.000Z	27 \| good	5.102 \| good	7.172 \| good	17.482 \| good	0.345 \| good	4.623 \| good	0.23 \| good
2026-02-12T16:00:00.000Z	27 \| good	5.241 \| good	8.911 \| good	17.823 \| good	0.422 \| good	5.161 \| good	0.235 \| good
2026-02-12T17:00:00.000Z	33 \| good	5.746 \| good	9.413 \| good	17.962 \| good	0.506 \| good	6.102 \| good	0.232 \| good
2026-02-12T18:00:00.000Z	38 \| good	7.319 \| good	10.752 \| good	18.584 \| good	0.545 \| good	6.229 \| good	0.234 \| good
2026-02-12T19:00:00.000Z	49 \| good	8.771 \| good	11.282 \| good	20.302 \| good	0.341 \| good	5.712 \| good	0.222 \| good
2026-02-12T20:00:00.000Z	38 \| good	7.32 \| good	9.414 \| good	22.389 \| good	0.299 \| good	4.574 \| good	0.198 \| good
2026-02-12T21:00:00.000Z	33 \| good	6.013 \| good	8.481 \| good	24.044 \| good	0.283 \| good	3.694 \| good	0.183 \| good
2026-02-12T22:00:00.000Z	27 \| good	5.054 \| good	6.804 \| good	24.287 \| good	0.237 \| good	3.176 \| good	0.176 \| good
2026-02-12T23:00:00.000Z	27 \| good	4.706 \| good	5.887 \| good	25.161 \| good	0.174 \| good	2.615 \| good	0.171 \| good
2026-02-13T00:00:00.000Z	25 \| good	3.998 \| good	5.125 \| good	27.257 \| good	0.136 \| good	2.217 \| good	0.163 \| good
2026-02-13T01:00:00.000Z	26 \| good	3.36 \| good	4.748 \| good	27.94 \| good	0.105 \| good	1.971 \| good	0.152 \| good
2026-02-13T02:00:00.000Z	25 \| good	3.228 \| good	4.337 \| good	27.456 \| good	0.095 \| good	1.755 \| good	0.148 \| good
2026-02-13T03:00:00.000Z	27 \| good	3.043 \| good	4.225 \| good	29.345 \| good	0.092 \| good	1.58 \| good	0.147 \| good
2026-02-13T04:00:00.000Z	31 \| good	2.783 \| good	4.349 \| good	32.694 \| good	0.082 \| good	1.424 \| good	0.144 \| good
2026-02-13T05:00:00.000Z	31 \| good	3.025 \| good	4.681 \| good	33.148 \| good	0.089 \| good	1.275 \| good	0.14 \| good
2026-02-13T06:00:00.000Z	31 \| good	3.07 \| good	4.705 \| good	33.451 \| good	0.148 \| good	1.188 \| good	0.141 \| good
2026-02-13T07:00:00.000Z	31 \| good	2.932 \| good	5.569 \| good	33.804 \| good	0.171 \| good	1.56 \| good	0.14 \| good
2026-02-13T08:00:00.000Z	31 \| good	3.22 \| good	6.054 \| good	34.165 \| good	0.27 \| good	2.554 \| good	0.141 \| good
2026-02-13T09:00:00.000Z	32 \| good	3.203 \| good	6.224 \| good	35.031 \| good	0.326 \| good	2.907 \| good	0.142 \| good
2026-02-13T10:00:00.000Z	34 \| good	3.22 \| good	5.896 \| good	36.743 \| good	0.356 \| good	2.94 \| good	0.143 \| good
2026-02-13T11:00:00.000Z	35 \| good	2.892 \| good	5.627 \| good	38.084 \| good	0.371 \| good	2.784 \| good	0.143 \| good
2026-02-13T12:00:00.000Z	36 \| good	2.931 \| good	5.24 \| good	38.668 \| good	0.343 \| good	2.487 \| good	0.141 \| good
2026-02-13T13:00:00.000Z	36 \| good	2.71 \| good	4.732 \| good	39.191 \| good	0.34 \| good	2.187 \| good	0.142 \| good
2026-02-13T14:00:00.000Z	37 \| good	2.55 \| good	4.893 \| good	39.95 \| good	0.339 \| good	2.081 \| good	0.143 \| good
2026-02-13T15:00:00.000Z	37 \| good	2.337 \| good	5 \| good	40.426 \| good	0.335 \| good	2.082 \| good	0.142 \| good
2026-02-13T16:00:00.000Z	37 \| good	2.47 \| good	5.787 \| good	39.647 \| good	0.355 \| good	2.545 \| good	0.143 \| good
2026-02-13T17:00:00.000Z	33 \| good	2.995 \| good	6.037 \| good	36.399 \| good	0.407 \| good	3.59 \| good	0.147 \| good
2026-02-13T18:00:00.000Z	31 \| good	3.76 \| good	6.982 \| good	33.904 \| good	0.52 \| good	4.9 \| good	0.156 \| good
2026-02-13T19:00:00.000Z	28 \| good	4.192 \| good	7.111 \| good	30.132 \| good	0.601 \| good	7.323 \| good	0.162 \| good
2026-02-13T20:00:00.000Z	27 \| good	5.1 \| good	7.43 \| good	28.789 \| good	0.689 \| good	9.497 \| good	0.165 \| good
2026-02-13T21:00:00.000Z	33 \| good	5.729 \| good	8.595 \| good	28.23 \| good	0.79 \| good	8.879 \| good	0.163 \| good
2026-02-13T22:00:00.000Z	33 \| good	6.385 \| good	10.788 \| good	26.472 \| good	0.821 \| good	9.301 \| good	0.163 \| 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?