What is the current level of PM10 in Mountsorrel, Leicestershire?

Mountsorrel, Leicestershire currently has a PM10 concentration of 6.449 μg/m3.

What is the current level of sulfur dioxide (SO2) in Mountsorrel, Leicestershire?

The current sulfur dioxide (SO2) concentration in Mountsorrel, Leicestershire is 0.681 ppb.

What is the current level of ozone (O3) in Mountsorrel, Leicestershire?

Mountsorrel, Leicestershire currently has an ozone (O3) concentration of 25.828 ppm.

What is the current level of nitrogen dioxide (NO2) in Mountsorrel, Leicestershire?

The current level of nitrogen dioxide (NO2) in Mountsorrel, Leicestershire is 9.232 ppb.

Current air quality index in Mountsorrel, Leicestershire today

Q: What is the PM2.5 concentration in Mountsorrel, Leicestershire right now?

Mountsorrel, Leicestershire currently has a PM2.5 concentration of 3.072 μg/m3.

Stay updated with real-time air quality in Mountsorrel, Leicestershire featuring accurate data on AQI, PM_2.5, PM₁₀, O₃, NO₂, SO₂, and CO levels. Use our interactive map and detailed forecasts to monitor pollution trends, manage health risks, and plan your daily activities with confidence.

Live AQI (Air Quality Index)

Good

Mountsorrel, Leicestershire

Last updated: ... (Local time)

Common air pollutants in Mountsorrel, Leicestershire

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

3.07 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

6.45 μg/m³

155

255

425

605+

Ozone (O₃)

25.83 ppb

201

201+

Sulfur Dioxide (SO₂)

0.68 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

9.23 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.11 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

Mountsorrel, Leicestershire

Get Live Pollen Counts

Mountsorrel, Leicestershire

Scroll To Air Quality Map

Track live Mountsorrel, Leicestershire 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	24 \| good	3.072 \| good	6.449 \| good	25.828 \| good	0.681 \| good	9.232 \| good	0.108 \| good
2026-05-14T13:00:00.000Z	37 \| good	3.749 \| good	6.464 \| good	40.023 \| good	0.17 \| good	2.183 \| good	0.12 \| good
2026-05-14T14:00:00.000Z	38 \| good	3.801 \| good	6.214 \| good	40.731 \| good	0.161 \| good	2.55 \| good	0.122 \| good
2026-05-14T15:00:00.000Z	37 \| good	4.195 \| good	6.829 \| good	40.068 \| good	0.178 \| good	3.005 \| good	0.124 \| good
2026-05-14T16:00:00.000Z	37 \| good	4.609 \| good	7.267 \| good	39.593 \| good	0.184 \| good	2.966 \| good	0.125 \| good
2026-05-14T17:00:00.000Z	36 \| good	4.952 \| good	7.306 \| good	39.397 \| good	0.231 \| good	3.561 \| good	0.126 \| good
2026-05-14T18:00:00.000Z	36 \| good	4.685 \| good	7.348 \| good	38.866 \| good	0.234 \| good	3.763 \| good	0.125 \| good
2026-05-14T19:00:00.000Z	32 \| good	4.202 \| good	5.949 \| good	35.41 \| good	0.282 \| good	3.833 \| good	0.124 \| good
2026-05-14T20:00:00.000Z	31 \| good	4.715 \| good	6.376 \| good	32.785 \| good	0.352 \| good	4.733 \| good	0.125 \| good
2026-05-14T21:00:00.000Z	27 \| good	5.229 \| good	7.101 \| good	28.678 \| good	0.422 \| good	6.365 \| good	0.128 \| good
2026-05-14T22:00:00.000Z	33 \| good	5.695 \| good	8.358 \| good	25.29 \| good	0.436 \| good	7.436 \| good	0.132 \| good
2026-05-14T23:00:00.000Z	33 \| good	6.234 \| good	9.545 \| good	24.969 \| good	0.427 \| good	7.371 \| good	0.133 \| good
2026-05-15T00:00:00.000Z	38 \| good	6.645 \| good	10.126 \| good	24.344 \| good	0.383 \| good	7.258 \| good	0.132 \| good
2026-05-15T01:00:00.000Z	38 \| good	7.146 \| good	10.541 \| good	24.28 \| good	0.385 \| good	5.956 \| good	0.128 \| good
2026-05-15T02:00:00.000Z	38 \| good	7.248 \| good	11.119 \| good	24.382 \| good	0.41 \| good	5.039 \| good	0.126 \| good
2026-05-15T03:00:00.000Z	38 \| good	7.463 \| good	12.021 \| good	24.156 \| good	0.424 \| good	5.003 \| good	0.123 \| good
2026-05-15T04:00:00.000Z	38 \| good	7.135 \| good	11.196 \| good	23.944 \| good	0.379 \| good	4.698 \| good	0.121 \| good
2026-05-15T05:00:00.000Z	33 \| good	5.502 \| good	9.217 \| good	24.962 \| good	0.361 \| good	3.717 \| good	0.12 \| good
2026-05-15T06:00:00.000Z	26 \| good	4.468 \| good	7.921 \| good	27.981 \| good	0.364 \| good	4.02 \| good	0.123 \| good
2026-05-15T07:00:00.000Z	30 \| good	3.244 \| good	7.283 \| good	31.598 \| good	0.338 \| good	3.558 \| good	0.125 \| good
2026-05-15T08:00:00.000Z	32 \| good	2.767 \| good	7.108 \| good	35.283 \| good	0.284 \| good	2.975 \| good	0.122 \| good
2026-05-15T09:00:00.000Z	36 \| good	2.619 \| good	5.997 \| good	38.962 \| good	0.238 \| good	2.363 \| good	0.119 \| good
2026-05-15T10:00:00.000Z	39 \| good	2.681 \| good	5.83 \| good	41.83 \| good	0.197 \| good	1.969 \| good	0.118 \| good
2026-05-15T11:00:00.000Z	40 \| good	2.948 \| good	5.816 \| good	43.385 \| good	0.178 \| good	1.839 \| good	0.117 \| good
2026-05-15T12:00:00.000Z	42 \| good	3.137 \| good	6.193 \| good	44.668 \| good	0.163 \| good	1.827 \| good	0.117 \| good
2026-05-15T13:00:00.000Z	42 \| good	3.168 \| good	6.39 \| good	45.286 \| good	0.16 \| good	1.865 \| good	0.117 \| good
2026-05-15T14:00:00.000Z	43 \| good	3.372 \| good	6.638 \| good	45.815 \| good	0.158 \| good	1.867 \| good	0.117 \| good
2026-05-15T15:00:00.000Z	43 \| good	3.498 \| good	6.966 \| good	45.539 \| good	0.15 \| good	2.036 \| good	0.117 \| good
2026-05-15T16:00:00.000Z	42 \| good	3.618 \| good	7.252 \| good	44.889 \| good	0.151 \| good	2.305 \| good	0.118 \| good
2026-05-15T17:00:00.000Z	40 \| good	3.836 \| good	7.959 \| good	43.315 \| good	0.182 \| good	2.917 \| good	0.121 \| good
2026-05-15T18:00:00.000Z	38 \| good	4.141 \| good	8.698 \| good	41.375 \| good	0.226 \| good	3.457 \| good	0.122 \| good
2026-05-15T19:00:00.000Z	37 \| good	4.826 \| good	8.789 \| good	39.515 \| good	0.316 \| good	4.221 \| good	0.123 \| good
2026-05-15T20:00:00.000Z	34 \| good	5.404 \| good	9.334 \| good	36.801 \| good	0.428 \| good	5.697 \| good	0.127 \| good
2026-05-15T21:00:00.000Z	33 \| good	5.777 \| good	9.691 \| good	34.162 \| good	0.482 \| good	6.646 \| good	0.129 \| good
2026-05-15T22:00:00.000Z	38 \| good	6.735 \| good	11.426 \| good	31.122 \| good	0.472 \| good	7.755 \| good	0.135 \| good
2026-05-15T23:00:00.000Z	44 \| good	7.784 \| good	12.017 \| good	29.593 \| good	0.397 \| good	8.472 \| good	0.138 \| good
2026-05-16T00:00:00.000Z	49 \| good	8.852 \| good	12.309 \| good	27.736 \| good	0.366 \| good	8.553 \| good	0.14 \| good
2026-05-16T01:00:00.000Z	49 \| good	9.387 \| good	12.513 \| good	24.813 \| good	0.331 \| good	7.833 \| good	0.139 \| good
2026-05-16T02:00:00.000Z	49 \| good	9.257 \| good	11.963 \| good	23.769 \| good	0.303 \| good	6.74 \| good	0.136 \| good
2026-05-16T03:00:00.000Z	49 \| good	8.815 \| good	11.144 \| good	22.904 \| good	0.291 \| good	5.931 \| good	0.132 \| good
2026-05-16T04:00:00.000Z	44 \| good	8.245 \| good	10.358 \| good	24.241 \| good	0.295 \| good	5.559 \| good	0.125 \| good
2026-05-16T05:00:00.000Z	38 \| good	6.707 \| good	9.644 \| good	26.207 \| good	0.295 \| good	4.517 \| good	0.118 \| good
2026-05-16T06:00:00.000Z	27 \| good	5.072 \| good	8.526 \| good	29.386 \| good	0.276 \| good	3.644 \| good	0.116 \| good
2026-05-16T07:00:00.000Z	28 \| good	4.051 \| good	7.447 \| good	30.46 \| good	0.249 \| good	2.657 \| good	0.121 \| good
2026-05-16T08:00:00.000Z	30 \| good	2.934 \| good	6.254 \| good	32.491 \| good	0.202 \| good	2.184 \| good	0.119 \| good
2026-05-16T09:00:00.000Z	32 \| good	3.039 \| good	6.099 \| good	35.166 \| good	0.164 \| good	1.572 \| good	0.117 \| good
2026-05-16T10:00:00.000Z	35 \| good	3.233 \| good	6.191 \| good	38.327 \| good	0.139 \| good	1.364 \| good	0.115 \| good
2026-05-16T11:00:00.000Z	38 \| good	3.273 \| good	6.274 \| good	40.641 \| good	0.127 \| good	1.189 \| good	0.114 \| good
2026-05-16T12:00:00.000Z	40 \| good	3.198 \| good	6.285 \| good	42.863 \| good	0.117 \| good	1.099 \| good	0.114 \| good

Mountsorrel

Empower business decisions with accurate air quality data

Real-time air quality map: Monitor AQI near Mountsorrel, Leicestershire

0.12ppm

How accurate is Leicestershire, UK air quality data?

The air quality data for Leicestershire, UK is gathered from reliable sources such as satellites and monitoring stations, adhering to US EPA guidelines. With the help of advanced algorithms and machine learning, factors like traffic and population density are analyzed to deliver accurate and dependable results.

Source: Ambee Data Sources

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Frequently asked questions

How frequently does the air quality data for Mountsorrel, Leicestershire get updated?

Air quality updates for Mountsorrel, Leicestershire are available every hour.

What time in the past 24 hours saw the poorest air quality in Mountsorrel, Leicestershire?

Mountsorrel, Leicestershire experienced its worst air quality at 02:00:00, 2026-05-13.

When was air quality in Mountsorrel, Leicestershire the best over the past 24 hours?

The best air quality in Mountsorrel, Leicestershire was observed at 05:00:00 on 2026-05-14.

What is the air quality in Mountsorrel, Leicestershire right now?

The air quality in Mountsorrel, Leicestershire right now is Good, with an AQI of 24.

What pollutant is most frequently found in Mountsorrel, Leicestershire?

In Mountsorrel, Leicestershire, O3 is the most frequently found pollutant.

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

When air quality in Mountsorrel, Leicestershire is compromised, staying indoors and wearing a mask can reduce health risks.

What is the PM_2.5 concentration in Mountsorrel, Leicestershire right now?

Mountsorrel, Leicestershire currently has a PM_2.5 concentration of 3.072 μg/m³.

What is the current level of PM₁₀ in Mountsorrel, Leicestershire?

Mountsorrel, Leicestershire currently has a PM₁₀ concentration of 6.449 μg/m³.

What is the current level of carbon monoxide (CO) in Mountsorrel, Leicestershire?

The current carbon monoxide (CO) level in Mountsorrel, Leicestershire is 0.108 ppm.

What is the current level of sulfur dioxide (SO₂) in Mountsorrel, Leicestershire?

The current sulfur dioxide (SO₂) concentration in Mountsorrel, Leicestershire is 0.681 ppb.

What is the current level of ozone (O₃) in Mountsorrel, Leicestershire?

Mountsorrel, Leicestershire currently has an ozone (O₃) concentration of 25.828 ppm.

What is the current level of nitrogen dioxide (NO₂) in Mountsorrel, Leicestershire?

The current level of nitrogen dioxide (NO₂) in Mountsorrel, Leicestershire is 9.232 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	24 \| good	3.072 \| good	6.449 \| good	25.828 \| good	0.681 \| good	9.232 \| good	0.108 \| good
2026-05-14T13:00:00.000Z	37 \| good	3.749 \| good	6.464 \| good	40.023 \| good	0.17 \| good	2.183 \| good	0.12 \| good
2026-05-14T14:00:00.000Z	38 \| good	3.801 \| good	6.214 \| good	40.731 \| good	0.161 \| good	2.55 \| good	0.122 \| good
2026-05-14T15:00:00.000Z	37 \| good	4.195 \| good	6.829 \| good	40.068 \| good	0.178 \| good	3.005 \| good	0.124 \| good
2026-05-14T16:00:00.000Z	37 \| good	4.609 \| good	7.267 \| good	39.593 \| good	0.184 \| good	2.966 \| good	0.125 \| good
2026-05-14T17:00:00.000Z	36 \| good	4.952 \| good	7.306 \| good	39.397 \| good	0.231 \| good	3.561 \| good	0.126 \| good
2026-05-14T18:00:00.000Z	36 \| good	4.685 \| good	7.348 \| good	38.866 \| good	0.234 \| good	3.763 \| good	0.125 \| good
2026-05-14T19:00:00.000Z	32 \| good	4.202 \| good	5.949 \| good	35.41 \| good	0.282 \| good	3.833 \| good	0.124 \| good
2026-05-14T20:00:00.000Z	31 \| good	4.715 \| good	6.376 \| good	32.785 \| good	0.352 \| good	4.733 \| good	0.125 \| good
2026-05-14T21:00:00.000Z	27 \| good	5.229 \| good	7.101 \| good	28.678 \| good	0.422 \| good	6.365 \| good	0.128 \| good
2026-05-14T22:00:00.000Z	33 \| good	5.695 \| good	8.358 \| good	25.29 \| good	0.436 \| good	7.436 \| good	0.132 \| good
2026-05-14T23:00:00.000Z	33 \| good	6.234 \| good	9.545 \| good	24.969 \| good	0.427 \| good	7.371 \| good	0.133 \| good
2026-05-15T00:00:00.000Z	38 \| good	6.645 \| good	10.126 \| good	24.344 \| good	0.383 \| good	7.258 \| good	0.132 \| good
2026-05-15T01:00:00.000Z	38 \| good	7.146 \| good	10.541 \| good	24.28 \| good	0.385 \| good	5.956 \| good	0.128 \| good
2026-05-15T02:00:00.000Z	38 \| good	7.248 \| good	11.119 \| good	24.382 \| good	0.41 \| good	5.039 \| good	0.126 \| good
2026-05-15T03:00:00.000Z	38 \| good	7.463 \| good	12.021 \| good	24.156 \| good	0.424 \| good	5.003 \| good	0.123 \| good
2026-05-15T04:00:00.000Z	38 \| good	7.135 \| good	11.196 \| good	23.944 \| good	0.379 \| good	4.698 \| good	0.121 \| good
2026-05-15T05:00:00.000Z	33 \| good	5.502 \| good	9.217 \| good	24.962 \| good	0.361 \| good	3.717 \| good	0.12 \| good
2026-05-15T06:00:00.000Z	26 \| good	4.468 \| good	7.921 \| good	27.981 \| good	0.364 \| good	4.02 \| good	0.123 \| good
2026-05-15T07:00:00.000Z	30 \| good	3.244 \| good	7.283 \| good	31.598 \| good	0.338 \| good	3.558 \| good	0.125 \| good
2026-05-15T08:00:00.000Z	32 \| good	2.767 \| good	7.108 \| good	35.283 \| good	0.284 \| good	2.975 \| good	0.122 \| good
2026-05-15T09:00:00.000Z	36 \| good	2.619 \| good	5.997 \| good	38.962 \| good	0.238 \| good	2.363 \| good	0.119 \| good
2026-05-15T10:00:00.000Z	39 \| good	2.681 \| good	5.83 \| good	41.83 \| good	0.197 \| good	1.969 \| good	0.118 \| good
2026-05-15T11:00:00.000Z	40 \| good	2.948 \| good	5.816 \| good	43.385 \| good	0.178 \| good	1.839 \| good	0.117 \| good
2026-05-15T12:00:00.000Z	42 \| good	3.137 \| good	6.193 \| good	44.668 \| good	0.163 \| good	1.827 \| good	0.117 \| good
2026-05-15T13:00:00.000Z	42 \| good	3.168 \| good	6.39 \| good	45.286 \| good	0.16 \| good	1.865 \| good	0.117 \| good
2026-05-15T14:00:00.000Z	43 \| good	3.372 \| good	6.638 \| good	45.815 \| good	0.158 \| good	1.867 \| good	0.117 \| good
2026-05-15T15:00:00.000Z	43 \| good	3.498 \| good	6.966 \| good	45.539 \| good	0.15 \| good	2.036 \| good	0.117 \| good
2026-05-15T16:00:00.000Z	42 \| good	3.618 \| good	7.252 \| good	44.889 \| good	0.151 \| good	2.305 \| good	0.118 \| good
2026-05-15T17:00:00.000Z	40 \| good	3.836 \| good	7.959 \| good	43.315 \| good	0.182 \| good	2.917 \| good	0.121 \| good
2026-05-15T18:00:00.000Z	38 \| good	4.141 \| good	8.698 \| good	41.375 \| good	0.226 \| good	3.457 \| good	0.122 \| good
2026-05-15T19:00:00.000Z	37 \| good	4.826 \| good	8.789 \| good	39.515 \| good	0.316 \| good	4.221 \| good	0.123 \| good
2026-05-15T20:00:00.000Z	34 \| good	5.404 \| good	9.334 \| good	36.801 \| good	0.428 \| good	5.697 \| good	0.127 \| good
2026-05-15T21:00:00.000Z	33 \| good	5.777 \| good	9.691 \| good	34.162 \| good	0.482 \| good	6.646 \| good	0.129 \| good
2026-05-15T22:00:00.000Z	38 \| good	6.735 \| good	11.426 \| good	31.122 \| good	0.472 \| good	7.755 \| good	0.135 \| good
2026-05-15T23:00:00.000Z	44 \| good	7.784 \| good	12.017 \| good	29.593 \| good	0.397 \| good	8.472 \| good	0.138 \| good
2026-05-16T00:00:00.000Z	49 \| good	8.852 \| good	12.309 \| good	27.736 \| good	0.366 \| good	8.553 \| good	0.14 \| good
2026-05-16T01:00:00.000Z	49 \| good	9.387 \| good	12.513 \| good	24.813 \| good	0.331 \| good	7.833 \| good	0.139 \| good
2026-05-16T02:00:00.000Z	49 \| good	9.257 \| good	11.963 \| good	23.769 \| good	0.303 \| good	6.74 \| good	0.136 \| good
2026-05-16T03:00:00.000Z	49 \| good	8.815 \| good	11.144 \| good	22.904 \| good	0.291 \| good	5.931 \| good	0.132 \| good
2026-05-16T04:00:00.000Z	44 \| good	8.245 \| good	10.358 \| good	24.241 \| good	0.295 \| good	5.559 \| good	0.125 \| good
2026-05-16T05:00:00.000Z	38 \| good	6.707 \| good	9.644 \| good	26.207 \| good	0.295 \| good	4.517 \| good	0.118 \| good
2026-05-16T06:00:00.000Z	27 \| good	5.072 \| good	8.526 \| good	29.386 \| good	0.276 \| good	3.644 \| good	0.116 \| good
2026-05-16T07:00:00.000Z	28 \| good	4.051 \| good	7.447 \| good	30.46 \| good	0.249 \| good	2.657 \| good	0.121 \| good
2026-05-16T08:00:00.000Z	30 \| good	2.934 \| good	6.254 \| good	32.491 \| good	0.202 \| good	2.184 \| good	0.119 \| good
2026-05-16T09:00:00.000Z	32 \| good	3.039 \| good	6.099 \| good	35.166 \| good	0.164 \| good	1.572 \| good	0.117 \| good
2026-05-16T10:00:00.000Z	35 \| good	3.233 \| good	6.191 \| good	38.327 \| good	0.139 \| good	1.364 \| good	0.115 \| good
2026-05-16T11:00:00.000Z	38 \| good	3.273 \| good	6.274 \| good	40.641 \| good	0.127 \| good	1.189 \| good	0.114 \| good
2026-05-16T12:00:00.000Z	40 \| good	3.198 \| good	6.285 \| good	42.863 \| good	0.117 \| good	1.099 \| good	0.114 \| good

Current air quality index in Mountsorrel, Leicestershire today

Common air pollutants in Mountsorrel, Leicestershire

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Mountsorrel, Leicestershire air quality forecast and history

Empower business decisions with accurate air quality data

Real-time air quality map: Monitor AQI near Mountsorrel, Leicestershire

Air quality in nearby cities

Syston, Leicestershire

Birstall, Leicestershire

Loughborough, Leicestershire

Shepshed, Leicestershire

Leicester Forest East, Leicestershire

Whitwick, Leicestershire

How accurate is Leicestershire, UK air quality data?

Air quality levels in UK

Frequently asked questions

How frequently does the air quality data for Mountsorrel, Leicestershire get updated?

What time in the past 24 hours saw the poorest air quality in Mountsorrel, Leicestershire?

When was air quality in Mountsorrel, Leicestershire the best over the past 24 hours?

What is the air quality in Mountsorrel, Leicestershire right now?

What pollutant is most frequently found in Mountsorrel, Leicestershire?

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

What is the PM2.5 concentration in Mountsorrel, Leicestershire right now?

What is the current level of PM10 in Mountsorrel, Leicestershire?

What is the current level of carbon monoxide (CO) in Mountsorrel, Leicestershire?

What is the current level of sulfur dioxide (SO2) in Mountsorrel, Leicestershire?

What is the current level of ozone (O3) in Mountsorrel, Leicestershire?

What is the current level of nitrogen dioxide (NO2) in Mountsorrel, Leicestershire?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What is the PM_2.5 concentration in Mountsorrel, Leicestershire right now?

What is the current level of PM₁₀ in Mountsorrel, Leicestershire?

What is the current level of sulfur dioxide (SO₂) in Mountsorrel, Leicestershire?

What is the current level of ozone (O₃) in Mountsorrel, Leicestershire?

What is the current level of nitrogen dioxide (NO₂) in Mountsorrel, Leicestershire?