What are the current PM10 levels at Leicestershire, UK?

The current PM10 levels in Leicestershire, UK are 8.044 μg/m3.

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

The current sulfur dioxide (SO2) levels in Leicestershire, UK are 0.692 ppb.

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

The current ozone (O3) levels at Leicestershire, UK is 25.635 ppm.

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

The current nitrogen dioxide (NO2) levels at Leicestershire, UK is 6.143 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 3.206 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)

3.25 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

7.80 μg/m³

155

255

425

605+

Ozone (O₃)

27.53 ppb

201

201+

Sulfur Dioxide (SO₂)

0.68 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

7.12 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.11 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

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
2026-05-12T13:00:00.000Z	27 \| good	4.694 \| good	9.052 \| good	27.891 \| good	0.791 \| good	8.891 \| good	0.12 \| good
2026-05-12T14:00:00.000Z	32 \| good	4.577 \| good	10.702 \| good	35.195 \| good	0.729 \| good	9.549 \| good	0.111 \| good
2026-05-12T15:00:00.000Z	29 \| good	4.737 \| good	11.56 \| good	31.092 \| good	0.692 \| good	11.086 \| good	0.113 \| good
2026-05-12T16:00:00.000Z	31 \| good	4.74 \| good	13.007 \| good	33.415 \| good	0.529 \| good	10.991 \| good	0.117 \| good
2026-05-12T17:00:00.000Z	36 \| good	4.676 \| good	11.325 \| good	39.458 \| good	0.529 \| good	10.029 \| good	0.662 \| good
2026-05-12T18:00:00.000Z	36 \| good	4.852 \| good	13.273 \| good	38.993 \| good	0.542 \| good	10.007 \| good	0.662 \| good
2026-05-12T19:00:00.000Z	37 \| good	5.115 \| good	14.496 \| good	39.978 \| good	0.682 \| good	8.305 \| good	0.163 \| good
2026-05-12T20:00:00.000Z	37 \| good	5.463 \| good	13.342 \| good	40.006 \| good	0.653 \| good	3.211 \| good	0.155 \| good
2026-05-12T21:00:00.000Z	37 \| good	5.098 \| good	16.976 \| good	40.087 \| good	0.579 \| good	3.495 \| good	0.153 \| good
2026-05-12T22:00:00.000Z	35 \| good	5.42 \| good	14.055 \| good	38.049 \| good	0.524 \| good	9.271 \| good	0.153 \| good
2026-05-12T23:00:00.000Z	33 \| good	5.542 \| good	15.681 \| good	36.032 \| good	0.605 \| good	5.987 \| good	0.662 \| good
2026-05-13T00:00:00.000Z	33 \| good	5.627 \| good	9.568 \| good	33.62 \| good	0.714 \| good	9.851 \| good	0.132 \| good
2026-05-13T01:00:00.000Z	33 \| good	5.587 \| good	11.116 \| good	31.92 \| good	0.797 \| good	4.681 \| good	0.662 \| good
2026-05-13T02:00:00.000Z	33 \| good	5.6 \| good	13.23 \| good	29.987 \| good	0.788 \| good	7.946 \| good	0.662 \| good
2026-05-13T03:00:00.000Z	29 \| good	4.56 \| good	14.223 \| good	30.957 \| good	0.701 \| good	3.647 \| good	0.662 \| good
2026-05-13T04:00:00.000Z	27 \| good	5.094 \| good	11.66 \| good	28.816 \| good	0.841 \| good	4.915 \| good	0.662 \| good
2026-05-13T05:00:00.000Z	33 \| good	5.707 \| good	15.404 \| good	29.396 \| good	0.687 \| good	4.895 \| good	0.662 \| good
2026-05-13T06:00:00.000Z	33 \| good	5.617 \| good	16.054 \| good	26.646 \| good	0.609 \| good	3.113 \| good	0.662 \| good
2026-05-13T07:00:00.000Z	27 \| good	5.475 \| good	11.335 \| good	26.671 \| good	0.749 \| good	5.245 \| good	0.144 \| good
2026-05-13T08:00:00.000Z	33 \| good	5.578 \| good	13.523 \| good	27.43 \| good	0.749 \| good	9.809 \| good	0.662 \| good
2026-05-13T09:00:00.000Z	33 \| good	5.634 \| good	13.793 \| good	26.779 \| good	0.673 \| good	11.831 \| good	0.662 \| good
2026-05-13T10:00:00.000Z	27 \| good	5.419 \| good	14.634 \| good	28.799 \| good	0.672 \| good	10.489 \| good	0.125 \| good
2026-05-13T11:00:00.000Z	27 \| good	5.412 \| good	13.797 \| good	29.396 \| good	0.75 \| good	9.972 \| good	0.122 \| good
2026-05-13T12:00:00.000Z	28 \| good	5.419 \| good	12.043 \| good	29.892 \| good	0.815 \| good	9.491 \| good	0.115 \| good
2026-05-13T13:00:00.000Z	28 \| good	5.335 \| good	12.719 \| good	30.445 \| good	0.815 \| good	10.019 \| good	0.117 \| good
2026-05-13T14:00:00.000Z	33 \| good	5.605 \| good	17.088 \| good	28.652 \| good	0.9 \| good	10.302 \| good	0.118 \| good
2026-05-13T15:00:00.000Z	28 \| good	5.478 \| good	17.809 \| good	30.145 \| good	0.771 \| good	10.849 \| good	0.113 \| good
2026-05-13T16:00:00.000Z	28 \| good	5.242 \| good	17.931 \| good	30.087 \| good	0.769 \| good	10.979 \| good	0.117 \| good
2026-05-13T17:00:00.000Z	29 \| good	4.669 \| good	11.364 \| good	31.484 \| good	0.681 \| good	10.87 \| good	0.122 \| good
2026-05-13T18:00:00.000Z	28 \| good	5.287 \| good	16.868 \| good	30.224 \| good	0.748 \| good	8.71 \| good	0.139 \| good
2026-05-13T19:00:00.000Z	27 \| good	4.629 \| good	10.835 \| good	28.79 \| good	0.739 \| good	6.03 \| good	0.197 \| good
2026-05-13T20:00:00.000Z	27 \| good	4.545 \| good	13.89 \| good	29.496 \| good	0.669 \| good	7.117 \| good	0.211 \| good
2026-05-13T21:00:00.000Z	25 \| good	4.431 \| good	13.28 \| good	27.137 \| good	0.605 \| good	8.254 \| good	0.2 \| good
2026-05-13T22:00:00.000Z	24 \| good	4.057 \| good	8.666 \| good	26 \| good	0.671 \| good	12.787 \| good	0.216 \| good
2026-05-13T23:00:00.000Z	23 \| good	4.061 \| good	8.674 \| good	25.269 \| good	0.674 \| good	13.321 \| good	0.224 \| good
2026-05-14T00:00:00.000Z	22 \| good	3.946 \| good	10.931 \| good	24.472 \| good	0.678 \| good	11.198 \| good	0.205 \| good
2026-05-14T01:00:00.000Z	22 \| good	4.092 \| good	10.053 \| good	20.818 \| good	0.61 \| good	8.271 \| good	0.167 \| good
2026-05-14T02:00:00.000Z	20 \| good	3.499 \| good	8.43 \| good	22.102 \| good	0.608 \| good	8.208 \| good	0.167 \| good
2026-05-14T03:00:00.000Z	22 \| good	3.751 \| good	11.305 \| good	21.417 \| good	0.606 \| good	4.512 \| good	0.15 \| good
2026-05-14T04:00:00.000Z	22 \| good	3.761 \| good	8.859 \| good	20.592 \| good	0.52 \| good	3.111 \| good	0.158 \| good
2026-05-14T05:00:00.000Z	19 \| good	3.13 \| good	10.343 \| good	20.639 \| good	0.608 \| good	3.612 \| good	0.172 \| good
2026-05-14T06:00:00.000Z	22 \| good	4.302 \| good	6.076 \| good	22.736 \| good	0.68 \| good	4.895 \| good	0.208 \| good
2026-05-14T07:00:00.000Z	23 \| good	3.361 \| good	8.096 \| good	24.732 \| good	0.768 \| good	7.199 \| good	0.177 \| good
2026-05-14T08:00:00.000Z	22 \| good	3.573 \| good	6.103 \| good	22.129 \| good	0.7 \| good	10.252 \| good	0.157 \| good
2026-05-14T09:00:00.000Z	20 \| good	3.265 \| good	7.28 \| good	22.077 \| good	0.679 \| good	11.199 \| good	0.13 \| good
2026-05-14T10:00:00.000Z	25 \| good	3.271 \| good	7.859 \| good	26.572 \| good	0.753 \| good	10.765 \| good	0.118 \| good
2026-05-14T11:00:00.000Z	25 \| good	3.332 \| good	7.864 \| good	26.808 \| good	0.68 \| good	7.264 \| good	0.118 \| good
2026-05-14T12:00:00.000Z	27 \| good	3.255 \| good	10.681 \| good	28.753 \| good	0.681 \| good	7.414 \| good	0.108 \| good
2026-05-14T12:00:00.000Z	26 \| good	3.25 \| good	7.802 \| good	27.528 \| good	0.684 \| good	7.122 \| good	0.108 \| good
2026-05-14T12:00:00.000Z	37 \| good	3.781 \| good	6.472 \| good	40.166 \| good	0.195 \| good	1.959 \| good	0.118 \| good
2026-05-14T13:00:00.000Z	37 \| good	3.742 \| good	6.405 \| good	39.97 \| good	0.167 \| good	2.106 \| good	0.119 \| good
2026-05-14T14:00:00.000Z	38 \| good	3.784 \| good	6.132 \| good	40.642 \| good	0.156 \| good	2.509 \| good	0.121 \| good
2026-05-14T15:00:00.000Z	37 \| good	4.125 \| good	6.774 \| good	39.922 \| good	0.17 \| good	2.899 \| good	0.123 \| good
2026-05-14T16:00:00.000Z	37 \| good	4.552 \| good	7.2 \| good	39.53 \| good	0.179 \| good	2.814 \| good	0.124 \| good
2026-05-14T17:00:00.000Z	37 \| good	4.926 \| good	7.292 \| good	39.578 \| good	0.217 \| good	3.315 \| good	0.125 \| good
2026-05-14T18:00:00.000Z	36 \| good	4.645 \| good	7.327 \| good	39.072 \| good	0.22 \| good	3.461 \| good	0.123 \| good
2026-05-14T19:00:00.000Z	32 \| good	4.025 \| good	5.673 \| good	35.432 \| good	0.275 \| good	3.604 \| good	0.123 \| good
2026-05-14T20:00:00.000Z	31 \| good	4.671 \| good	6.311 \| good	33.174 \| good	0.354 \| good	4.558 \| good	0.125 \| good
2026-05-14T21:00:00.000Z	27 \| good	5.235 \| good	7.077 \| good	28.891 \| good	0.432 \| good	6.374 \| good	0.128 \| good
2026-05-14T22:00:00.000Z	33 \| good	5.656 \| good	8.328 \| good	25.365 \| good	0.43 \| good	7.368 \| good	0.132 \| good
2026-05-14T23:00:00.000Z	33 \| good	6.223 \| good	9.621 \| good	25.071 \| good	0.429 \| good	7.282 \| good	0.133 \| good
2026-05-15T00:00:00.000Z	38 \| good	6.599 \| good	10.15 \| good	24.546 \| good	0.372 \| good	7.137 \| good	0.131 \| good
2026-05-15T01:00:00.000Z	38 \| good	7.142 \| good	10.467 \| good	24.315 \| good	0.378 \| good	5.728 \| good	0.128 \| good
2026-05-15T02:00:00.000Z	38 \| good	7.184 \| good	11.058 \| good	24.436 \| good	0.407 \| good	4.861 \| good	0.125 \| good
2026-05-15T03:00:00.000Z	38 \| good	7.395 \| good	11.993 \| good	24.086 \| good	0.418 \| good	4.838 \| good	0.123 \| good
2026-05-15T04:00:00.000Z	38 \| good	7.015 \| good	10.956 \| good	23.847 \| good	0.371 \| good	4.54 \| good	0.121 \| good
2026-05-15T05:00:00.000Z	27 \| good	5.422 \| good	8.992 \| good	24.947 \| good	0.357 \| good	3.547 \| good	0.119 \| good
2026-05-15T06:00:00.000Z	26 \| good	4.407 \| good	7.862 \| good	27.934 \| good	0.356 \| good	3.903 \| good	0.123 \| good
2026-05-15T07:00:00.000Z	30 \| good	3.173 \| good	7.216 \| good	31.591 \| good	0.336 \| good	3.435 \| good	0.124 \| good
2026-05-15T08:00:00.000Z	32 \| good	2.718 \| good	7.045 \| good	35.215 \| good	0.281 \| good	2.874 \| good	0.122 \| good
2026-05-15T09:00:00.000Z	36 \| good	2.58 \| good	5.891 \| good	38.957 \| good	0.235 \| good	2.31 \| good	0.119 \| good
2026-05-15T10:00:00.000Z	39 \| good	2.656 \| good	5.765 \| good	41.881 \| good	0.196 \| good	1.938 \| good	0.117 \| good
2026-05-15T11:00:00.000Z	40 \| good	2.926 \| good	5.786 \| good	43.405 \| good	0.177 \| good	1.807 \| good	0.117 \| good
2026-05-15T12:00:00.000Z	42 \| good	3.104 \| good	6.163 \| good	44.626 \| good	0.16 \| good	1.782 \| good	0.116 \| good
2026-05-15T13:00:00.000Z	42 \| good	3.105 \| good	6.256 \| good	45.177 \| good	0.158 \| good	1.826 \| good	0.117 \| good
2026-05-15T14:00:00.000Z	43 \| good	3.319 \| good	6.484 \| good	45.771 \| good	0.156 \| good	1.83 \| good	0.117 \| good
2026-05-15T15:00:00.000Z	43 \| good	3.42 \| good	6.808 \| good	45.507 \| good	0.147 \| good	1.983 \| good	0.117 \| good
2026-05-15T16:00:00.000Z	42 \| good	3.563 \| good	7.098 \| good	44.84 \| good	0.147 \| good	2.281 \| good	0.118 \| good
2026-05-15T17:00:00.000Z	40 \| good	3.802 \| good	7.91 \| good	43.132 \| good	0.177 \| good	2.822 \| good	0.12 \| good
2026-05-15T18:00:00.000Z	38 \| good	4.126 \| good	8.734 \| good	41.257 \| good	0.219 \| good	3.266 \| good	0.122 \| good
2026-05-15T19:00:00.000Z	37 \| good	4.79 \| good	8.773 \| good	39.523 \| good	0.312 \| good	4.027 \| good	0.122 \| good
2026-05-15T20:00:00.000Z	34 \| good	5.34 \| good	9.266 \| good	36.769 \| good	0.431 \| good	5.65 \| good	0.127 \| good
2026-05-15T21:00:00.000Z	33 \| good	5.698 \| good	9.647 \| good	34.435 \| good	0.479 \| good	6.538 \| good	0.129 \| good
2026-05-15T22:00:00.000Z	38 \| good	6.646 \| good	11.368 \| good	31.289 \| good	0.464 \| good	7.666 \| good	0.135 \| good
2026-05-15T23:00:00.000Z	44 \| good	7.753 \| good	11.824 \| good	29.763 \| good	0.386 \| good	8.29 \| good	0.138 \| good
2026-05-16T00:00:00.000Z	49 \| good	8.874 \| good	12.303 \| good	27.87 \| good	0.351 \| good	8.201 \| good	0.139 \| good
2026-05-16T01:00:00.000Z	49 \| good	9.404 \| good	12.524 \| good	24.817 \| good	0.325 \| good	7.54 \| good	0.139 \| good
2026-05-16T02:00:00.000Z	49 \| good	9.262 \| good	11.854 \| good	23.818 \| good	0.295 \| good	6.431 \| good	0.136 \| good
2026-05-16T03:00:00.000Z	49 \| good	8.812 \| good	11.03 \| good	22.908 \| good	0.281 \| good	5.652 \| good	0.132 \| good
2026-05-16T04:00:00.000Z	44 \| good	8.167 \| good	10.201 \| good	24.423 \| good	0.286 \| good	5.332 \| good	0.125 \| good
2026-05-16T05:00:00.000Z	38 \| good	6.593 \| good	9.524 \| good	26.447 \| good	0.284 \| good	4.186 \| good	0.118 \| good
2026-05-16T06:00:00.000Z	28 \| good	5.004 \| good	8.406 \| good	29.61 \| good	0.263 \| good	3.51 \| good	0.116 \| good
2026-05-16T07:00:00.000Z	28 \| good	4.12 \| good	7.347 \| good	30.333 \| good	0.245 \| good	2.548 \| good	0.121 \| good
2026-05-16T08:00:00.000Z	30 \| good	2.915 \| good	6.178 \| good	32.304 \| good	0.196 \| good	2.151 \| good	0.119 \| good
2026-05-16T09:00:00.000Z	32 \| good	3.053 \| good	6.075 \| good	34.976 \| good	0.164 \| good	1.533 \| good	0.116 \| good
2026-05-16T10:00:00.000Z	35 \| good	3.199 \| good	6.068 \| good	38.249 \| good	0.136 \| good	1.32 \| good	0.115 \| good
2026-05-16T11:00:00.000Z	38 \| good	3.276 \| good	6.145 \| good	40.653 \| good	0.122 \| good	1.126 \| good	0.114 \| 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
Shepshed, Leicestershire	26 Good	3.24μg/m³ Good	8.12μg/m³ Good	27.70ppb Good	0.75ppb Good	7.03ppb Good	0.12ppm Good
Loughborough, Leicestershire	26 Good	3.24μg/m³ Good	8.12μg/m³ Good	27.70ppb Good	0.75ppb Good	7.03ppb Good	0.12ppm Good
AshbydelaZouch, Leicestershire	24 Good	3.00μg/m³ Good	8.74μg/m³ Good	26.47ppb Good	0.74ppb Good	4.65ppb Good	0.12ppm Good
Coalville, Leicestershire	25 Good	3.17μg/m³ Good	8.02μg/m³ Good	27.43ppb Good	0.75ppb Good	4.74ppb Good	0.12ppm Good
Whitwick, Leicestershire	25 Good	3.17μg/m³ Good	8.02μg/m³ Good	27.43ppb Good	0.75ppb Good	4.74ppb Good	0.12ppm Good
Earl Shilton, Leicestershire	24 Good	3.45μg/m³ Good	7.63μg/m³ Good	25.63ppb Good	0.74ppb Good	4.79ppb Good	0.12ppm Good
Hinckley, Leicestershire	24 Good	3.45μg/m³ Good	7.63μg/m³ Good	25.63ppb Good	0.74ppb Good	4.79ppb Good	0.12ppm Good
Lutterworth, Leicestershire	24 Good	4.07μg/m³ Good	7.23μg/m³ Good	25.53ppb Good	0.67ppb Good	3.62ppb Good	0.12ppm Good
Market Harborough, Leicestershire	23 Good	3.98μg/m³ Good	9.90μg/m³ Good	25.38ppb Good	0.71ppb Good	5.90ppb Good	0.12ppm Good
Melton Mowbray, Leicestershire	24 Good	4.00μg/m³ Good	10.05μg/m³ Good	25.90ppb Good	0.76ppb Good	6.46ppb Good	0.12ppm Good
Leicester Forest East, Leicestershire	24 Good	3.10μg/m³ Good	7.48μg/m³ Good	26.44ppb Good	0.75ppb Good	4.95ppb Good	0.12ppm Good
Syston, Leicestershire	21 Good	3.12μg/m³ Good	6.29μg/m³ Good	23.28ppb Good	0.75ppb Good	12.26ppb Good	0.12ppm Good
Mountsorrel, Leicestershire	21 Good	3.07μg/m³ Good	5.86μg/m³ Good	23.31ppb Good	0.75ppb Good	12.46ppb Good	0.12ppm Good
Enderby, Leicestershire	21 Good	3.06μg/m³ Good	5.54μg/m³ Good	23.17ppb Good	0.75ppb Good	11.41ppb Good	0.12ppm Good
Birstall, Leicestershire	21 Good	3.02μg/m³ Good	5.82μg/m³ Good	23.00ppb Good	0.76ppb Good	13.34ppb Good	0.12ppm Good
Blaby, Leicestershire	21 Good	3.07μg/m³ Good	5.70μg/m³ Good	23.06ppb Good	0.75ppb Good	11.35ppb Good	0.12ppm Good
Oadby, Leicestershire	21 Good	3.07μg/m³ Good	5.84μg/m³ Good	23.06ppb Good	0.75ppb Good	11.78ppb Good	0.12ppm Good
Wigston, Leicestershire	21 Good	3.06μg/m³ Good	5.69μg/m³ Good	23.04ppb Good	0.75ppb Good	11.45ppb Good	0.12ppm Good

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

0.12ppm

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 02:00:00 on 2026-05-13.

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 2026-05-14.

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

The real-time air quality index in Leicestershire, UK is 24, 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 3.206 μg/m³.

What are the current PM₁₀ levels at Leicestershire, UK?

The current PM₁₀ levels in Leicestershire, UK are 8.044 μg/m³.

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

The current carbon monoxide (CO) level in Leicestershire, UK is 0.118 ppm.

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

The current sulfur dioxide (SO₂) levels in Leicestershire, UK are 0.692 ppb.

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

The current ozone (O₃) levels at Leicestershire, UK is 25.635 ppm.

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

The current nitrogen dioxide (NO₂) levels at Leicestershire, UK is 6.143 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-05-12T13:00:00.000Z	27 \| good	4.694 \| good	9.052 \| good	27.891 \| good	0.791 \| good	8.891 \| good	0.12 \| good
2026-05-12T14:00:00.000Z	32 \| good	4.577 \| good	10.702 \| good	35.195 \| good	0.729 \| good	9.549 \| good	0.111 \| good
2026-05-12T15:00:00.000Z	29 \| good	4.737 \| good	11.56 \| good	31.092 \| good	0.692 \| good	11.086 \| good	0.113 \| good
2026-05-12T16:00:00.000Z	31 \| good	4.74 \| good	13.007 \| good	33.415 \| good	0.529 \| good	10.991 \| good	0.117 \| good
2026-05-12T17:00:00.000Z	36 \| good	4.676 \| good	11.325 \| good	39.458 \| good	0.529 \| good	10.029 \| good	0.662 \| good
2026-05-12T18:00:00.000Z	36 \| good	4.852 \| good	13.273 \| good	38.993 \| good	0.542 \| good	10.007 \| good	0.662 \| good
2026-05-12T19:00:00.000Z	37 \| good	5.115 \| good	14.496 \| good	39.978 \| good	0.682 \| good	8.305 \| good	0.163 \| good
2026-05-12T20:00:00.000Z	37 \| good	5.463 \| good	13.342 \| good	40.006 \| good	0.653 \| good	3.211 \| good	0.155 \| good
2026-05-12T21:00:00.000Z	37 \| good	5.098 \| good	16.976 \| good	40.087 \| good	0.579 \| good	3.495 \| good	0.153 \| good
2026-05-12T22:00:00.000Z	35 \| good	5.42 \| good	14.055 \| good	38.049 \| good	0.524 \| good	9.271 \| good	0.153 \| good
2026-05-12T23:00:00.000Z	33 \| good	5.542 \| good	15.681 \| good	36.032 \| good	0.605 \| good	5.987 \| good	0.662 \| good
2026-05-13T00:00:00.000Z	33 \| good	5.627 \| good	9.568 \| good	33.62 \| good	0.714 \| good	9.851 \| good	0.132 \| good
2026-05-13T01:00:00.000Z	33 \| good	5.587 \| good	11.116 \| good	31.92 \| good	0.797 \| good	4.681 \| good	0.662 \| good
2026-05-13T02:00:00.000Z	33 \| good	5.6 \| good	13.23 \| good	29.987 \| good	0.788 \| good	7.946 \| good	0.662 \| good
2026-05-13T03:00:00.000Z	29 \| good	4.56 \| good	14.223 \| good	30.957 \| good	0.701 \| good	3.647 \| good	0.662 \| good
2026-05-13T04:00:00.000Z	27 \| good	5.094 \| good	11.66 \| good	28.816 \| good	0.841 \| good	4.915 \| good	0.662 \| good
2026-05-13T05:00:00.000Z	33 \| good	5.707 \| good	15.404 \| good	29.396 \| good	0.687 \| good	4.895 \| good	0.662 \| good
2026-05-13T06:00:00.000Z	33 \| good	5.617 \| good	16.054 \| good	26.646 \| good	0.609 \| good	3.113 \| good	0.662 \| good
2026-05-13T07:00:00.000Z	27 \| good	5.475 \| good	11.335 \| good	26.671 \| good	0.749 \| good	5.245 \| good	0.144 \| good
2026-05-13T08:00:00.000Z	33 \| good	5.578 \| good	13.523 \| good	27.43 \| good	0.749 \| good	9.809 \| good	0.662 \| good
2026-05-13T09:00:00.000Z	33 \| good	5.634 \| good	13.793 \| good	26.779 \| good	0.673 \| good	11.831 \| good	0.662 \| good
2026-05-13T10:00:00.000Z	27 \| good	5.419 \| good	14.634 \| good	28.799 \| good	0.672 \| good	10.489 \| good	0.125 \| good
2026-05-13T11:00:00.000Z	27 \| good	5.412 \| good	13.797 \| good	29.396 \| good	0.75 \| good	9.972 \| good	0.122 \| good
2026-05-13T12:00:00.000Z	28 \| good	5.419 \| good	12.043 \| good	29.892 \| good	0.815 \| good	9.491 \| good	0.115 \| good
2026-05-13T13:00:00.000Z	28 \| good	5.335 \| good	12.719 \| good	30.445 \| good	0.815 \| good	10.019 \| good	0.117 \| good
2026-05-13T14:00:00.000Z	33 \| good	5.605 \| good	17.088 \| good	28.652 \| good	0.9 \| good	10.302 \| good	0.118 \| good
2026-05-13T15:00:00.000Z	28 \| good	5.478 \| good	17.809 \| good	30.145 \| good	0.771 \| good	10.849 \| good	0.113 \| good
2026-05-13T16:00:00.000Z	28 \| good	5.242 \| good	17.931 \| good	30.087 \| good	0.769 \| good	10.979 \| good	0.117 \| good
2026-05-13T17:00:00.000Z	29 \| good	4.669 \| good	11.364 \| good	31.484 \| good	0.681 \| good	10.87 \| good	0.122 \| good
2026-05-13T18:00:00.000Z	28 \| good	5.287 \| good	16.868 \| good	30.224 \| good	0.748 \| good	8.71 \| good	0.139 \| good
2026-05-13T19:00:00.000Z	27 \| good	4.629 \| good	10.835 \| good	28.79 \| good	0.739 \| good	6.03 \| good	0.197 \| good
2026-05-13T20:00:00.000Z	27 \| good	4.545 \| good	13.89 \| good	29.496 \| good	0.669 \| good	7.117 \| good	0.211 \| good
2026-05-13T21:00:00.000Z	25 \| good	4.431 \| good	13.28 \| good	27.137 \| good	0.605 \| good	8.254 \| good	0.2 \| good
2026-05-13T22:00:00.000Z	24 \| good	4.057 \| good	8.666 \| good	26 \| good	0.671 \| good	12.787 \| good	0.216 \| good
2026-05-13T23:00:00.000Z	23 \| good	4.061 \| good	8.674 \| good	25.269 \| good	0.674 \| good	13.321 \| good	0.224 \| good
2026-05-14T00:00:00.000Z	22 \| good	3.946 \| good	10.931 \| good	24.472 \| good	0.678 \| good	11.198 \| good	0.205 \| good
2026-05-14T01:00:00.000Z	22 \| good	4.092 \| good	10.053 \| good	20.818 \| good	0.61 \| good	8.271 \| good	0.167 \| good
2026-05-14T02:00:00.000Z	20 \| good	3.499 \| good	8.43 \| good	22.102 \| good	0.608 \| good	8.208 \| good	0.167 \| good
2026-05-14T03:00:00.000Z	22 \| good	3.751 \| good	11.305 \| good	21.417 \| good	0.606 \| good	4.512 \| good	0.15 \| good
2026-05-14T04:00:00.000Z	22 \| good	3.761 \| good	8.859 \| good	20.592 \| good	0.52 \| good	3.111 \| good	0.158 \| good
2026-05-14T05:00:00.000Z	19 \| good	3.13 \| good	10.343 \| good	20.639 \| good	0.608 \| good	3.612 \| good	0.172 \| good
2026-05-14T06:00:00.000Z	22 \| good	4.302 \| good	6.076 \| good	22.736 \| good	0.68 \| good	4.895 \| good	0.208 \| good
2026-05-14T07:00:00.000Z	23 \| good	3.361 \| good	8.096 \| good	24.732 \| good	0.768 \| good	7.199 \| good	0.177 \| good
2026-05-14T08:00:00.000Z	22 \| good	3.573 \| good	6.103 \| good	22.129 \| good	0.7 \| good	10.252 \| good	0.157 \| good
2026-05-14T09:00:00.000Z	20 \| good	3.265 \| good	7.28 \| good	22.077 \| good	0.679 \| good	11.199 \| good	0.13 \| good
2026-05-14T10:00:00.000Z	25 \| good	3.271 \| good	7.859 \| good	26.572 \| good	0.753 \| good	10.765 \| good	0.118 \| good
2026-05-14T11:00:00.000Z	25 \| good	3.332 \| good	7.864 \| good	26.808 \| good	0.68 \| good	7.264 \| good	0.118 \| good
2026-05-14T12:00:00.000Z	27 \| good	3.255 \| good	10.681 \| good	28.753 \| good	0.681 \| good	7.414 \| good	0.108 \| good
2026-05-14T12:00:00.000Z	26 \| good	3.25 \| good	7.802 \| good	27.528 \| good	0.684 \| good	7.122 \| good	0.108 \| good
2026-05-14T12:00:00.000Z	37 \| good	3.781 \| good	6.472 \| good	40.166 \| good	0.195 \| good	1.959 \| good	0.118 \| good
2026-05-14T13:00:00.000Z	37 \| good	3.742 \| good	6.405 \| good	39.97 \| good	0.167 \| good	2.106 \| good	0.119 \| good
2026-05-14T14:00:00.000Z	38 \| good	3.784 \| good	6.132 \| good	40.642 \| good	0.156 \| good	2.509 \| good	0.121 \| good
2026-05-14T15:00:00.000Z	37 \| good	4.125 \| good	6.774 \| good	39.922 \| good	0.17 \| good	2.899 \| good	0.123 \| good
2026-05-14T16:00:00.000Z	37 \| good	4.552 \| good	7.2 \| good	39.53 \| good	0.179 \| good	2.814 \| good	0.124 \| good
2026-05-14T17:00:00.000Z	37 \| good	4.926 \| good	7.292 \| good	39.578 \| good	0.217 \| good	3.315 \| good	0.125 \| good
2026-05-14T18:00:00.000Z	36 \| good	4.645 \| good	7.327 \| good	39.072 \| good	0.22 \| good	3.461 \| good	0.123 \| good
2026-05-14T19:00:00.000Z	32 \| good	4.025 \| good	5.673 \| good	35.432 \| good	0.275 \| good	3.604 \| good	0.123 \| good
2026-05-14T20:00:00.000Z	31 \| good	4.671 \| good	6.311 \| good	33.174 \| good	0.354 \| good	4.558 \| good	0.125 \| good
2026-05-14T21:00:00.000Z	27 \| good	5.235 \| good	7.077 \| good	28.891 \| good	0.432 \| good	6.374 \| good	0.128 \| good
2026-05-14T22:00:00.000Z	33 \| good	5.656 \| good	8.328 \| good	25.365 \| good	0.43 \| good	7.368 \| good	0.132 \| good
2026-05-14T23:00:00.000Z	33 \| good	6.223 \| good	9.621 \| good	25.071 \| good	0.429 \| good	7.282 \| good	0.133 \| good
2026-05-15T00:00:00.000Z	38 \| good	6.599 \| good	10.15 \| good	24.546 \| good	0.372 \| good	7.137 \| good	0.131 \| good
2026-05-15T01:00:00.000Z	38 \| good	7.142 \| good	10.467 \| good	24.315 \| good	0.378 \| good	5.728 \| good	0.128 \| good
2026-05-15T02:00:00.000Z	38 \| good	7.184 \| good	11.058 \| good	24.436 \| good	0.407 \| good	4.861 \| good	0.125 \| good
2026-05-15T03:00:00.000Z	38 \| good	7.395 \| good	11.993 \| good	24.086 \| good	0.418 \| good	4.838 \| good	0.123 \| good
2026-05-15T04:00:00.000Z	38 \| good	7.015 \| good	10.956 \| good	23.847 \| good	0.371 \| good	4.54 \| good	0.121 \| good
2026-05-15T05:00:00.000Z	27 \| good	5.422 \| good	8.992 \| good	24.947 \| good	0.357 \| good	3.547 \| good	0.119 \| good
2026-05-15T06:00:00.000Z	26 \| good	4.407 \| good	7.862 \| good	27.934 \| good	0.356 \| good	3.903 \| good	0.123 \| good
2026-05-15T07:00:00.000Z	30 \| good	3.173 \| good	7.216 \| good	31.591 \| good	0.336 \| good	3.435 \| good	0.124 \| good
2026-05-15T08:00:00.000Z	32 \| good	2.718 \| good	7.045 \| good	35.215 \| good	0.281 \| good	2.874 \| good	0.122 \| good
2026-05-15T09:00:00.000Z	36 \| good	2.58 \| good	5.891 \| good	38.957 \| good	0.235 \| good	2.31 \| good	0.119 \| good
2026-05-15T10:00:00.000Z	39 \| good	2.656 \| good	5.765 \| good	41.881 \| good	0.196 \| good	1.938 \| good	0.117 \| good
2026-05-15T11:00:00.000Z	40 \| good	2.926 \| good	5.786 \| good	43.405 \| good	0.177 \| good	1.807 \| good	0.117 \| good
2026-05-15T12:00:00.000Z	42 \| good	3.104 \| good	6.163 \| good	44.626 \| good	0.16 \| good	1.782 \| good	0.116 \| good
2026-05-15T13:00:00.000Z	42 \| good	3.105 \| good	6.256 \| good	45.177 \| good	0.158 \| good	1.826 \| good	0.117 \| good
2026-05-15T14:00:00.000Z	43 \| good	3.319 \| good	6.484 \| good	45.771 \| good	0.156 \| good	1.83 \| good	0.117 \| good
2026-05-15T15:00:00.000Z	43 \| good	3.42 \| good	6.808 \| good	45.507 \| good	0.147 \| good	1.983 \| good	0.117 \| good
2026-05-15T16:00:00.000Z	42 \| good	3.563 \| good	7.098 \| good	44.84 \| good	0.147 \| good	2.281 \| good	0.118 \| good
2026-05-15T17:00:00.000Z	40 \| good	3.802 \| good	7.91 \| good	43.132 \| good	0.177 \| good	2.822 \| good	0.12 \| good
2026-05-15T18:00:00.000Z	38 \| good	4.126 \| good	8.734 \| good	41.257 \| good	0.219 \| good	3.266 \| good	0.122 \| good
2026-05-15T19:00:00.000Z	37 \| good	4.79 \| good	8.773 \| good	39.523 \| good	0.312 \| good	4.027 \| good	0.122 \| good
2026-05-15T20:00:00.000Z	34 \| good	5.34 \| good	9.266 \| good	36.769 \| good	0.431 \| good	5.65 \| good	0.127 \| good
2026-05-15T21:00:00.000Z	33 \| good	5.698 \| good	9.647 \| good	34.435 \| good	0.479 \| good	6.538 \| good	0.129 \| good
2026-05-15T22:00:00.000Z	38 \| good	6.646 \| good	11.368 \| good	31.289 \| good	0.464 \| good	7.666 \| good	0.135 \| good
2026-05-15T23:00:00.000Z	44 \| good	7.753 \| good	11.824 \| good	29.763 \| good	0.386 \| good	8.29 \| good	0.138 \| good
2026-05-16T00:00:00.000Z	49 \| good	8.874 \| good	12.303 \| good	27.87 \| good	0.351 \| good	8.201 \| good	0.139 \| good
2026-05-16T01:00:00.000Z	49 \| good	9.404 \| good	12.524 \| good	24.817 \| good	0.325 \| good	7.54 \| good	0.139 \| good
2026-05-16T02:00:00.000Z	49 \| good	9.262 \| good	11.854 \| good	23.818 \| good	0.295 \| good	6.431 \| good	0.136 \| good
2026-05-16T03:00:00.000Z	49 \| good	8.812 \| good	11.03 \| good	22.908 \| good	0.281 \| good	5.652 \| good	0.132 \| good
2026-05-16T04:00:00.000Z	44 \| good	8.167 \| good	10.201 \| good	24.423 \| good	0.286 \| good	5.332 \| good	0.125 \| good
2026-05-16T05:00:00.000Z	38 \| good	6.593 \| good	9.524 \| good	26.447 \| good	0.284 \| good	4.186 \| good	0.118 \| good
2026-05-16T06:00:00.000Z	28 \| good	5.004 \| good	8.406 \| good	29.61 \| good	0.263 \| good	3.51 \| good	0.116 \| good
2026-05-16T07:00:00.000Z	28 \| good	4.12 \| good	7.347 \| good	30.333 \| good	0.245 \| good	2.548 \| good	0.121 \| good
2026-05-16T08:00:00.000Z	30 \| good	2.915 \| good	6.178 \| good	32.304 \| good	0.196 \| good	2.151 \| good	0.119 \| good
2026-05-16T09:00:00.000Z	32 \| good	3.053 \| good	6.075 \| good	34.976 \| good	0.164 \| good	1.533 \| good	0.116 \| good
2026-05-16T10:00:00.000Z	35 \| good	3.199 \| good	6.068 \| good	38.249 \| good	0.136 \| good	1.32 \| good	0.115 \| good
2026-05-16T11:00:00.000Z	38 \| good	3.276 \| good	6.145 \| good	40.653 \| good	0.122 \| good	1.126 \| good	0.114 \| 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?