What are the current PM10 levels at Earl Shilton, Leicestershire?

The current PM10 levels in Earl Shilton, Leicestershire are 9.522 μg/m3.

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

The current sulfur dioxide (SO2) levels in Earl Shilton, Leicestershire are 0.51 ppb.

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

The current ozone (O3) levels at Earl Shilton, Leicestershire is 36.673 ppm.

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

The current nitrogen dioxide (NO2) levels at Earl Shilton, Leicestershire is 3.337 ppb.

Real-time air quality index in Earl Shilton, Leicestershire today

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

The measured PM2.5 levels in Earl Shilton, Leicestershire at present are 4.471 μg/m3.

Stay updated with real-time air quality in Earl Shilton, 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

Earl Shilton, Leicestershire

Last updated: ... (Local time)

Common air pollutants in Earl Shilton, Leicestershire

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

4.57 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

8.00 μg/m³

155

255

425

605+

Ozone (O₃)

36.99 ppb

201

201+

Sulfur Dioxide (SO₂)

0.58 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

2.96 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.05 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

Earl Shilton, Leicestershire

Get Live Pollen Counts

Earl Shilton, Leicestershire

Scroll To Air Quality Map

Track live Earl Shilton, Leicestershire air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-03-28T00:00:00.000Z	33 \| good	5.872 \| good	10.604 \| good	28.138 \| good	0.534 \| good	4.935 \| good	0.273 \| good
2026-03-28T01:00:00.000Z	33 \| good	6.074 \| good	9.121 \| good	27.217 \| good	0.598 \| good	4.236 \| good	0.23 \| good
2026-03-28T02:00:00.000Z	33 \| good	6.15 \| good	16.081 \| good	28.563 \| good	0.605 \| good	3.67 \| good	0.217 \| good
2026-03-28T03:00:00.000Z	33 \| good	6.374 \| good	22.497 \| good	28.357 \| good	0.445 \| good	5.422 \| good	0.209 \| good
2026-03-28T04:00:00.000Z	33 \| good	6.117 \| good	21.148 \| good	29.947 \| good	0.509 \| good	3.945 \| good	0.203 \| good
2026-03-28T05:00:00.000Z	33 \| good	6.011 \| good	9.417 \| good	31.888 \| good	0.516 \| good	3.102 \| good	0.2 \| good
2026-03-28T06:00:00.000Z	33 \| good	6.02 \| good	9.717 \| good	33.378 \| good	0.449 \| good	3.765 \| good	0.198 \| good
2026-03-28T07:00:00.000Z	38 \| good	7.188 \| good	13.323 \| good	33.355 \| good	0.45 \| good	5.939 \| good	0.044 \| good
2026-03-28T08:00:00.000Z	33 \| good	5.791 \| good	14.373 \| good	31.614 \| good	0.584 \| good	7.513 \| good	0.049 \| good
2026-03-28T09:00:00.000Z	33 \| good	6.088 \| good	14.092 \| good	32.147 \| good	0.673 \| good	6.288 \| good	0.053 \| good
2026-03-28T10:00:00.000Z	33 \| good	6.233 \| good	19.539 \| good	33.489 \| good	0.498 \| good	5.204 \| good	0.058 \| good
2026-03-28T11:00:00.000Z	38 \| good	6.567 \| good	12.42 \| good	34.062 \| good	0.496 \| good	3.946 \| good	0.06 \| good
2026-03-28T12:00:00.000Z	33 \| good	6.23 \| good	14.622 \| good	33.252 \| good	0.512 \| good	3.996 \| good	0.058 \| good
2026-03-28T13:00:00.000Z	33 \| good	5.998 \| good	14.677 \| good	35.18 \| good	0.511 \| good	5.249 \| good	0.057 \| good
2026-03-28T14:00:00.000Z	34 \| good	6.314 \| good	17.966 \| good	36.969 \| good	0.512 \| good	5.392 \| good	0.055 \| good
2026-03-28T15:00:00.000Z	38 \| good	6.915 \| good	12.987 \| good	37.844 \| good	0.512 \| good	4.556 \| good	0.066 \| good
2026-03-28T16:00:00.000Z	38 \| good	7.178 \| good	15.33 \| good	39.028 \| good	0.512 \| good	6.313 \| good	0.058 \| good
2026-03-28T17:00:00.000Z	38 \| good	6.928 \| good	16.299 \| good	39.256 \| good	0.511 \| good	2.513 \| good	0.058 \| good
2026-03-28T18:00:00.000Z	38 \| good	6.828 \| good	12.796 \| good	40.072 \| good	0.604 \| good	3.634 \| good	0.057 \| good
2026-03-28T19:00:00.000Z	38 \| good	6.16 \| good	13.518 \| good	40.674 \| good	0.605 \| good	3.595 \| good	0.066 \| good
2026-03-28T20:00:00.000Z	37 \| good	6.031 \| good	10.751 \| good	40.48 \| good	0.694 \| good	3.871 \| good	0.068 \| good
2026-03-28T21:00:00.000Z	35 \| good	6.066 \| good	18.208 \| good	37.746 \| good	0.538 \| good	4.534 \| good	0.061 \| good
2026-03-28T22:00:00.000Z	33 \| good	6.132 \| good	13.686 \| good	36.043 \| good	0.606 \| good	5.998 \| good	0.063 \| good
2026-03-28T23:00:00.000Z	33 \| good	6.228 \| good	23.173 \| good	34.056 \| good	0.739 \| good	5.543 \| good	0.061 \| good
2026-03-29T00:00:00.000Z	31 \| good	5.429 \| good	21.625 \| good	33.943 \| good	0.606 \| good	6.7 \| good	0.266 \| good
2026-03-29T01:00:00.000Z	31 \| good	5.405 \| good	10.612 \| good	33.144 \| good	0.606 \| good	5.433 \| good	0.264 \| good
2026-03-29T02:00:00.000Z	33 \| good	5.538 \| good	11.64 \| good	30.038 \| good	0.536 \| good	8.886 \| good	0.247 \| good
2026-03-29T03:00:00.000Z	33 \| good	5.642 \| good	10.769 \| good	29.152 \| good	0.536 \| good	7.831 \| good	0.299 \| good
2026-03-29T04:00:00.000Z	33 \| good	5.649 \| good	13.24 \| good	27.742 \| good	0.451 \| good	5.022 \| good	0.285 \| good
2026-03-29T05:00:00.000Z	33 \| good	5.613 \| good	10.803 \| good	25.522 \| good	0.445 \| good	7.045 \| good	0.06 \| good
2026-03-29T06:00:00.000Z	33 \| good	5.699 \| good	12.837 \| good	24.669 \| good	0.539 \| good	5.263 \| good	0.057 \| good
2026-03-29T07:00:00.000Z	33 \| good	5.662 \| good	10.848 \| good	22.504 \| good	0.474 \| good	7.693 \| good	0.057 \| good
2026-03-29T08:00:00.000Z	33 \| good	5.596 \| good	10.806 \| good	22.195 \| good	0.542 \| good	5.395 \| good	0.062 \| good
2026-03-29T09:00:00.000Z	33 \| good	5.629 \| good	10.133 \| good	22.796 \| good	0.609 \| good	4.336 \| good	0.071 \| good
2026-03-29T10:00:00.000Z	33 \| good	5.534 \| good	10.3 \| good	23.522 \| good	0.45 \| good	5.079 \| good	0.068 \| good
2026-03-29T11:00:00.000Z	33 \| good	5.612 \| good	10.37 \| good	23.31 \| good	0.439 \| good	5.071 \| good	0.053 \| good
2026-03-29T12:00:00.000Z	33 \| good	5.593 \| good	10.553 \| good	26.927 \| good	0.511 \| good	4.332 \| good	0.052 \| good
2026-03-29T13:00:00.000Z	33 \| good	5.619 \| good	10.24 \| good	28.305 \| good	0.511 \| good	4.466 \| good	0.059 \| good
2026-03-29T14:00:00.000Z	28 \| good	5.465 \| good	10.717 \| good	29.806 \| good	0.511 \| good	6.008 \| good	0.056 \| good
2026-03-29T15:00:00.000Z	33 \| good	5.522 \| good	10.222 \| good	31.099 \| good	0.54 \| good	3.351 \| good	0.058 \| good
2026-03-29T16:00:00.000Z	31 \| good	5.478 \| good	13.253 \| good	34.067 \| good	0.569 \| good	5.634 \| good	0.058 \| good
2026-03-29T17:00:00.000Z	32 \| good	5.027 \| good	9.768 \| good	35.198 \| good	0.607 \| good	4.212 \| good	0.057 \| good
2026-03-29T18:00:00.000Z	32 \| good	5.277 \| good	9.24 \| good	35.056 \| good	0.569 \| good	4.409 \| good	0.056 \| good
2026-03-29T19:00:00.000Z	33 \| good	4.778 \| good	12.056 \| good	36.272 \| good	0.553 \| good	3.324 \| good	0.063 \| good
2026-03-29T20:00:00.000Z	33 \| good	4.605 \| good	8.622 \| good	36.026 \| good	0.623 \| good	4.587 \| good	0.081 \| good
2026-03-29T21:00:00.000Z	34 \| good	4.471 \| good	9.522 \| good	36.673 \| good	0.51 \| good	3.337 \| good	0.055 \| good
2026-03-29T22:00:00.000Z	34 \| good	4.572 \| good	7.997 \| good	36.986 \| good	0.582 \| good	2.959 \| good	0.054 \| good
2026-03-29T23:00:00.000Z	34 \| good	4.605 \| good	7.854 \| good	37.341 \| good	0.696 \| good	2.11 \| good	0.055 \| good
2026-03-29T23:00:00.000Z	34 \| good	4.572 \| good	7.997 \| good	36.986 \| good	0.582 \| good	2.959 \| good	0.054 \| good
2026-03-29T23:00:00.000Z	41 \| good	5.152 \| good	10.988 \| good	44.112 \| good	0.252 \| good	1.979 \| good	0.115 \| good
2026-03-30T00:00:00.000Z	39 \| good	5.455 \| good	12.191 \| good	41.678 \| good	0.267 \| good	2.032 \| good	0.116 \| good
2026-03-30T01:00:00.000Z	37 \| good	5.613 \| good	13.777 \| good	40.389 \| good	0.27 \| good	1.98 \| good	0.114 \| good
2026-03-30T02:00:00.000Z	37 \| good	5.759 \| good	12.907 \| good	39.915 \| good	0.279 \| good	1.887 \| good	0.113 \| good
2026-03-30T03:00:00.000Z	36 \| good	5.966 \| good	13.68 \| good	39.413 \| good	0.267 \| good	1.762 \| good	0.113 \| good
2026-03-30T04:00:00.000Z	37 \| good	6.188 \| good	14.271 \| good	39.616 \| good	0.256 \| good	1.715 \| good	0.115 \| good
2026-03-30T05:00:00.000Z	38 \| good	6.517 \| good	14.765 \| good	39.804 \| good	0.301 \| good	1.956 \| good	0.116 \| good
2026-03-30T06:00:00.000Z	38 \| good	6.927 \| good	15.234 \| good	39.247 \| good	0.345 \| good	2.561 \| good	0.118 \| good
2026-03-30T07:00:00.000Z	35 \| good	6.292 \| good	12.289 \| good	38.454 \| good	0.344 \| good	3.626 \| good	0.121 \| good
2026-03-30T08:00:00.000Z	39 \| good	5.741 \| good	13.245 \| good	41.929 \| good	0.325 \| good	3.222 \| good	0.123 \| good
2026-03-30T09:00:00.000Z	41 \| good	5.164 \| good	13.753 \| good	43.753 \| good	0.253 \| good	2.157 \| good	0.122 \| good
2026-03-30T10:00:00.000Z	44 \| good	4.882 \| good	12.682 \| good	46.678 \| good	0.204 \| good	1.666 \| good	0.121 \| good
2026-03-30T11:00:00.000Z	45 \| good	4.48 \| good	11.543 \| good	49.126 \| good	0.203 \| good	1.269 \| good	0.12 \| good
2026-03-30T12:00:00.000Z	47 \| good	4.203 \| good	10.668 \| good	50.933 \| good	0.193 \| good	1.131 \| good	0.12 \| good
2026-03-30T13:00:00.000Z	48 \| good	4.13 \| good	10.356 \| good	51.519 \| good	0.182 \| good	1.069 \| good	0.12 \| good
2026-03-30T14:00:00.000Z	47 \| good	4.133 \| good	10.555 \| good	51.392 \| good	0.197 \| good	1.108 \| good	0.122 \| good
2026-03-30T15:00:00.000Z	47 \| good	3.984 \| good	10.884 \| good	51.043 \| good	0.196 \| good	1.219 \| good	0.122 \| good
2026-03-30T16:00:00.000Z	46 \| good	3.955 \| good	10.585 \| good	49.857 \| good	0.198 \| good	1.482 \| good	0.123 \| good
2026-03-30T17:00:00.000Z	44 \| good	4.126 \| good	10.331 \| good	48.49 \| good	0.21 \| good	1.985 \| good	0.126 \| good
2026-03-30T18:00:00.000Z	44 \| good	4.392 \| good	10.292 \| good	47.465 \| good	0.246 \| good	2.788 \| good	0.128 \| good
2026-03-30T19:00:00.000Z	42 \| good	4.597 \| good	11.226 \| good	45.288 \| good	0.297 \| good	3 \| good	0.129 \| good
2026-03-30T20:00:00.000Z	40 \| good	4.995 \| good	12.517 \| good	43.003 \| good	0.388 \| good	3.369 \| good	0.13 \| good
2026-03-30T21:00:00.000Z	39 \| good	5.683 \| good	12.691 \| good	41.563 \| good	0.439 \| good	3.403 \| good	0.131 \| good
2026-03-30T22:00:00.000Z	38 \| good	6.857 \| good	13.186 \| good	37.801 \| good	0.434 \| good	3.7 \| good	0.131 \| good
2026-03-30T23:00:00.000Z	38 \| good	6.948 \| good	13.728 \| good	34.294 \| good	0.441 \| good	3.928 \| good	0.134 \| good
2026-03-31T00:00:00.000Z	38 \| good	6.974 \| good	13.916 \| good	33.121 \| good	0.39 \| good	4.035 \| good	0.133 \| good
2026-03-31T01:00:00.000Z	38 \| good	6.926 \| good	14.012 \| good	32.717 \| good	0.369 \| good	3.936 \| good	0.132 \| good
2026-03-31T02:00:00.000Z	38 \| good	6.581 \| good	13.819 \| good	33.231 \| good	0.354 \| good	3.456 \| good	0.131 \| good
2026-03-31T03:00:00.000Z	33 \| good	6.475 \| good	11.807 \| good	31.783 \| good	0.361 \| good	3.215 \| good	0.128 \| good
2026-03-31T04:00:00.000Z	33 \| good	6.106 \| good	11.101 \| good	30.912 \| good	0.336 \| good	3.005 \| good	0.128 \| good
2026-03-31T05:00:00.000Z	33 \| good	6.287 \| good	11.087 \| good	28.592 \| good	0.346 \| good	3.501 \| good	0.128 \| good
2026-03-31T06:00:00.000Z	33 \| good	6.375 \| good	11 \| good	25.173 \| good	0.398 \| good	4.598 \| good	0.13 \| good
2026-03-31T07:00:00.000Z	38 \| good	6.603 \| good	11.113 \| good	23.279 \| good	0.448 \| good	5.704 \| good	0.135 \| good
2026-03-31T08:00:00.000Z	38 \| good	7.43 \| good	11.027 \| good	24.304 \| good	0.527 \| good	7.425 \| good	0.14 \| good
2026-03-31T09:00:00.000Z	38 \| good	7.445 \| good	10.134 \| good	24.66 \| good	0.461 \| good	6.447 \| good	0.137 \| good
2026-03-31T10:00:00.000Z	33 \| good	6.007 \| good	8.55 \| good	26.542 \| good	0.365 \| good	5.208 \| good	0.129 \| good
2026-03-31T11:00:00.000Z	27 \| good	5.045 \| good	6.614 \| good	26.532 \| good	0.247 \| good	3.918 \| good	0.122 \| good
2026-03-31T12:00:00.000Z	28 \| good	4.057 \| good	6.432 \| good	29.563 \| good	0.188 \| good	2.526 \| good	0.116 \| good
2026-03-31T13:00:00.000Z	29 \| good	3.559 \| good	5.788 \| good	31.252 \| good	0.179 \| good	2.184 \| good	0.115 \| good
2026-03-31T14:00:00.000Z	31 \| good	3.273 \| good	5.39 \| good	34.008 \| good	0.149 \| good	1.781 \| good	0.113 \| good
2026-03-31T15:00:00.000Z	33 \| good	3.279 \| good	5.876 \| good	35.879 \| good	0.166 \| good	1.606 \| good	0.112 \| good
2026-03-31T16:00:00.000Z	32 \| good	3.486 \| good	6.29 \| good	35.29 \| good	0.18 \| good	2.12 \| good	0.115 \| good
2026-03-31T17:00:00.000Z	30 \| good	4.221 \| good	6.844 \| good	32.375 \| good	0.218 \| good	3.041 \| good	0.12 \| good
2026-03-31T18:00:00.000Z	28 \| good	5.089 \| good	7.769 \| good	30.098 \| good	0.356 \| good	5.097 \| good	0.128 \| good
2026-03-31T19:00:00.000Z	33 \| good	6.071 \| good	9.216 \| good	28.295 \| good	0.433 \| good	6.267 \| good	0.131 \| good
2026-03-31T20:00:00.000Z	33 \| good	6.233 \| good	9.221 \| good	27.892 \| good	0.554 \| good	6.417 \| good	0.132 \| good
2026-03-31T21:00:00.000Z	38 \| good	6.673 \| good	9.694 \| good	26.291 \| good	0.647 \| good	6.601 \| good	0.134 \| good
2026-03-31T22:00:00.000Z	44 \| good	7.757 \| good	10.798 \| good	24.126 \| good	0.533 \| good	6.866 \| good	0.136 \| good

Earl Shilton

Empower business decisions with accurate air quality data

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

0.05ppm

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 Earl Shilton, Leicestershire updated?

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

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

The worst air quality in Earl Shilton, Leicestershire was recorded at 09:00:00 on 2026-03-29.

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

The best air quality in Earl Shilton, Leicestershire was recorded at 02:00:00 on 2026-03-29.

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

The real-time air quality index in Earl Shilton, Leicestershire is 34, currently categorized as Good.

Which pollutant is found most often in Earl Shilton, Leicestershire?

The most common pollutant in Earl Shilton, Leicestershire is O3.

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

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

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

The measured PM_2.5 levels in Earl Shilton, Leicestershire at present are 4.471 μg/m³.

What are the current PM₁₀ levels at Earl Shilton, Leicestershire?

The current PM₁₀ levels in Earl Shilton, Leicestershire are 9.522 μg/m³.

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

The current carbon monoxide (CO) level in Earl Shilton, Leicestershire is 0.055 ppm.

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

The current sulfur dioxide (SO₂) levels in Earl Shilton, Leicestershire are 0.51 ppb.

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

The current ozone (O₃) levels at Earl Shilton, Leicestershire is 36.673 ppm.

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

The current nitrogen dioxide (NO₂) levels at Earl Shilton, Leicestershire is 3.337 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-03-28T00:00:00.000Z	33 \| good	5.872 \| good	10.604 \| good	28.138 \| good	0.534 \| good	4.935 \| good	0.273 \| good
2026-03-28T01:00:00.000Z	33 \| good	6.074 \| good	9.121 \| good	27.217 \| good	0.598 \| good	4.236 \| good	0.23 \| good
2026-03-28T02:00:00.000Z	33 \| good	6.15 \| good	16.081 \| good	28.563 \| good	0.605 \| good	3.67 \| good	0.217 \| good
2026-03-28T03:00:00.000Z	33 \| good	6.374 \| good	22.497 \| good	28.357 \| good	0.445 \| good	5.422 \| good	0.209 \| good
2026-03-28T04:00:00.000Z	33 \| good	6.117 \| good	21.148 \| good	29.947 \| good	0.509 \| good	3.945 \| good	0.203 \| good
2026-03-28T05:00:00.000Z	33 \| good	6.011 \| good	9.417 \| good	31.888 \| good	0.516 \| good	3.102 \| good	0.2 \| good
2026-03-28T06:00:00.000Z	33 \| good	6.02 \| good	9.717 \| good	33.378 \| good	0.449 \| good	3.765 \| good	0.198 \| good
2026-03-28T07:00:00.000Z	38 \| good	7.188 \| good	13.323 \| good	33.355 \| good	0.45 \| good	5.939 \| good	0.044 \| good
2026-03-28T08:00:00.000Z	33 \| good	5.791 \| good	14.373 \| good	31.614 \| good	0.584 \| good	7.513 \| good	0.049 \| good
2026-03-28T09:00:00.000Z	33 \| good	6.088 \| good	14.092 \| good	32.147 \| good	0.673 \| good	6.288 \| good	0.053 \| good
2026-03-28T10:00:00.000Z	33 \| good	6.233 \| good	19.539 \| good	33.489 \| good	0.498 \| good	5.204 \| good	0.058 \| good
2026-03-28T11:00:00.000Z	38 \| good	6.567 \| good	12.42 \| good	34.062 \| good	0.496 \| good	3.946 \| good	0.06 \| good
2026-03-28T12:00:00.000Z	33 \| good	6.23 \| good	14.622 \| good	33.252 \| good	0.512 \| good	3.996 \| good	0.058 \| good
2026-03-28T13:00:00.000Z	33 \| good	5.998 \| good	14.677 \| good	35.18 \| good	0.511 \| good	5.249 \| good	0.057 \| good
2026-03-28T14:00:00.000Z	34 \| good	6.314 \| good	17.966 \| good	36.969 \| good	0.512 \| good	5.392 \| good	0.055 \| good
2026-03-28T15:00:00.000Z	38 \| good	6.915 \| good	12.987 \| good	37.844 \| good	0.512 \| good	4.556 \| good	0.066 \| good
2026-03-28T16:00:00.000Z	38 \| good	7.178 \| good	15.33 \| good	39.028 \| good	0.512 \| good	6.313 \| good	0.058 \| good
2026-03-28T17:00:00.000Z	38 \| good	6.928 \| good	16.299 \| good	39.256 \| good	0.511 \| good	2.513 \| good	0.058 \| good
2026-03-28T18:00:00.000Z	38 \| good	6.828 \| good	12.796 \| good	40.072 \| good	0.604 \| good	3.634 \| good	0.057 \| good
2026-03-28T19:00:00.000Z	38 \| good	6.16 \| good	13.518 \| good	40.674 \| good	0.605 \| good	3.595 \| good	0.066 \| good
2026-03-28T20:00:00.000Z	37 \| good	6.031 \| good	10.751 \| good	40.48 \| good	0.694 \| good	3.871 \| good	0.068 \| good
2026-03-28T21:00:00.000Z	35 \| good	6.066 \| good	18.208 \| good	37.746 \| good	0.538 \| good	4.534 \| good	0.061 \| good
2026-03-28T22:00:00.000Z	33 \| good	6.132 \| good	13.686 \| good	36.043 \| good	0.606 \| good	5.998 \| good	0.063 \| good
2026-03-28T23:00:00.000Z	33 \| good	6.228 \| good	23.173 \| good	34.056 \| good	0.739 \| good	5.543 \| good	0.061 \| good
2026-03-29T00:00:00.000Z	31 \| good	5.429 \| good	21.625 \| good	33.943 \| good	0.606 \| good	6.7 \| good	0.266 \| good
2026-03-29T01:00:00.000Z	31 \| good	5.405 \| good	10.612 \| good	33.144 \| good	0.606 \| good	5.433 \| good	0.264 \| good
2026-03-29T02:00:00.000Z	33 \| good	5.538 \| good	11.64 \| good	30.038 \| good	0.536 \| good	8.886 \| good	0.247 \| good
2026-03-29T03:00:00.000Z	33 \| good	5.642 \| good	10.769 \| good	29.152 \| good	0.536 \| good	7.831 \| good	0.299 \| good
2026-03-29T04:00:00.000Z	33 \| good	5.649 \| good	13.24 \| good	27.742 \| good	0.451 \| good	5.022 \| good	0.285 \| good
2026-03-29T05:00:00.000Z	33 \| good	5.613 \| good	10.803 \| good	25.522 \| good	0.445 \| good	7.045 \| good	0.06 \| good
2026-03-29T06:00:00.000Z	33 \| good	5.699 \| good	12.837 \| good	24.669 \| good	0.539 \| good	5.263 \| good	0.057 \| good
2026-03-29T07:00:00.000Z	33 \| good	5.662 \| good	10.848 \| good	22.504 \| good	0.474 \| good	7.693 \| good	0.057 \| good
2026-03-29T08:00:00.000Z	33 \| good	5.596 \| good	10.806 \| good	22.195 \| good	0.542 \| good	5.395 \| good	0.062 \| good
2026-03-29T09:00:00.000Z	33 \| good	5.629 \| good	10.133 \| good	22.796 \| good	0.609 \| good	4.336 \| good	0.071 \| good
2026-03-29T10:00:00.000Z	33 \| good	5.534 \| good	10.3 \| good	23.522 \| good	0.45 \| good	5.079 \| good	0.068 \| good
2026-03-29T11:00:00.000Z	33 \| good	5.612 \| good	10.37 \| good	23.31 \| good	0.439 \| good	5.071 \| good	0.053 \| good
2026-03-29T12:00:00.000Z	33 \| good	5.593 \| good	10.553 \| good	26.927 \| good	0.511 \| good	4.332 \| good	0.052 \| good
2026-03-29T13:00:00.000Z	33 \| good	5.619 \| good	10.24 \| good	28.305 \| good	0.511 \| good	4.466 \| good	0.059 \| good
2026-03-29T14:00:00.000Z	28 \| good	5.465 \| good	10.717 \| good	29.806 \| good	0.511 \| good	6.008 \| good	0.056 \| good
2026-03-29T15:00:00.000Z	33 \| good	5.522 \| good	10.222 \| good	31.099 \| good	0.54 \| good	3.351 \| good	0.058 \| good
2026-03-29T16:00:00.000Z	31 \| good	5.478 \| good	13.253 \| good	34.067 \| good	0.569 \| good	5.634 \| good	0.058 \| good
2026-03-29T17:00:00.000Z	32 \| good	5.027 \| good	9.768 \| good	35.198 \| good	0.607 \| good	4.212 \| good	0.057 \| good
2026-03-29T18:00:00.000Z	32 \| good	5.277 \| good	9.24 \| good	35.056 \| good	0.569 \| good	4.409 \| good	0.056 \| good
2026-03-29T19:00:00.000Z	33 \| good	4.778 \| good	12.056 \| good	36.272 \| good	0.553 \| good	3.324 \| good	0.063 \| good
2026-03-29T20:00:00.000Z	33 \| good	4.605 \| good	8.622 \| good	36.026 \| good	0.623 \| good	4.587 \| good	0.081 \| good
2026-03-29T21:00:00.000Z	34 \| good	4.471 \| good	9.522 \| good	36.673 \| good	0.51 \| good	3.337 \| good	0.055 \| good
2026-03-29T22:00:00.000Z	34 \| good	4.572 \| good	7.997 \| good	36.986 \| good	0.582 \| good	2.959 \| good	0.054 \| good
2026-03-29T23:00:00.000Z	34 \| good	4.605 \| good	7.854 \| good	37.341 \| good	0.696 \| good	2.11 \| good	0.055 \| good
2026-03-29T23:00:00.000Z	34 \| good	4.572 \| good	7.997 \| good	36.986 \| good	0.582 \| good	2.959 \| good	0.054 \| good
2026-03-29T23:00:00.000Z	41 \| good	5.152 \| good	10.988 \| good	44.112 \| good	0.252 \| good	1.979 \| good	0.115 \| good
2026-03-30T00:00:00.000Z	39 \| good	5.455 \| good	12.191 \| good	41.678 \| good	0.267 \| good	2.032 \| good	0.116 \| good
2026-03-30T01:00:00.000Z	37 \| good	5.613 \| good	13.777 \| good	40.389 \| good	0.27 \| good	1.98 \| good	0.114 \| good
2026-03-30T02:00:00.000Z	37 \| good	5.759 \| good	12.907 \| good	39.915 \| good	0.279 \| good	1.887 \| good	0.113 \| good
2026-03-30T03:00:00.000Z	36 \| good	5.966 \| good	13.68 \| good	39.413 \| good	0.267 \| good	1.762 \| good	0.113 \| good
2026-03-30T04:00:00.000Z	37 \| good	6.188 \| good	14.271 \| good	39.616 \| good	0.256 \| good	1.715 \| good	0.115 \| good
2026-03-30T05:00:00.000Z	38 \| good	6.517 \| good	14.765 \| good	39.804 \| good	0.301 \| good	1.956 \| good	0.116 \| good
2026-03-30T06:00:00.000Z	38 \| good	6.927 \| good	15.234 \| good	39.247 \| good	0.345 \| good	2.561 \| good	0.118 \| good
2026-03-30T07:00:00.000Z	35 \| good	6.292 \| good	12.289 \| good	38.454 \| good	0.344 \| good	3.626 \| good	0.121 \| good
2026-03-30T08:00:00.000Z	39 \| good	5.741 \| good	13.245 \| good	41.929 \| good	0.325 \| good	3.222 \| good	0.123 \| good
2026-03-30T09:00:00.000Z	41 \| good	5.164 \| good	13.753 \| good	43.753 \| good	0.253 \| good	2.157 \| good	0.122 \| good
2026-03-30T10:00:00.000Z	44 \| good	4.882 \| good	12.682 \| good	46.678 \| good	0.204 \| good	1.666 \| good	0.121 \| good
2026-03-30T11:00:00.000Z	45 \| good	4.48 \| good	11.543 \| good	49.126 \| good	0.203 \| good	1.269 \| good	0.12 \| good
2026-03-30T12:00:00.000Z	47 \| good	4.203 \| good	10.668 \| good	50.933 \| good	0.193 \| good	1.131 \| good	0.12 \| good
2026-03-30T13:00:00.000Z	48 \| good	4.13 \| good	10.356 \| good	51.519 \| good	0.182 \| good	1.069 \| good	0.12 \| good
2026-03-30T14:00:00.000Z	47 \| good	4.133 \| good	10.555 \| good	51.392 \| good	0.197 \| good	1.108 \| good	0.122 \| good
2026-03-30T15:00:00.000Z	47 \| good	3.984 \| good	10.884 \| good	51.043 \| good	0.196 \| good	1.219 \| good	0.122 \| good
2026-03-30T16:00:00.000Z	46 \| good	3.955 \| good	10.585 \| good	49.857 \| good	0.198 \| good	1.482 \| good	0.123 \| good
2026-03-30T17:00:00.000Z	44 \| good	4.126 \| good	10.331 \| good	48.49 \| good	0.21 \| good	1.985 \| good	0.126 \| good
2026-03-30T18:00:00.000Z	44 \| good	4.392 \| good	10.292 \| good	47.465 \| good	0.246 \| good	2.788 \| good	0.128 \| good
2026-03-30T19:00:00.000Z	42 \| good	4.597 \| good	11.226 \| good	45.288 \| good	0.297 \| good	3 \| good	0.129 \| good
2026-03-30T20:00:00.000Z	40 \| good	4.995 \| good	12.517 \| good	43.003 \| good	0.388 \| good	3.369 \| good	0.13 \| good
2026-03-30T21:00:00.000Z	39 \| good	5.683 \| good	12.691 \| good	41.563 \| good	0.439 \| good	3.403 \| good	0.131 \| good
2026-03-30T22:00:00.000Z	38 \| good	6.857 \| good	13.186 \| good	37.801 \| good	0.434 \| good	3.7 \| good	0.131 \| good
2026-03-30T23:00:00.000Z	38 \| good	6.948 \| good	13.728 \| good	34.294 \| good	0.441 \| good	3.928 \| good	0.134 \| good
2026-03-31T00:00:00.000Z	38 \| good	6.974 \| good	13.916 \| good	33.121 \| good	0.39 \| good	4.035 \| good	0.133 \| good
2026-03-31T01:00:00.000Z	38 \| good	6.926 \| good	14.012 \| good	32.717 \| good	0.369 \| good	3.936 \| good	0.132 \| good
2026-03-31T02:00:00.000Z	38 \| good	6.581 \| good	13.819 \| good	33.231 \| good	0.354 \| good	3.456 \| good	0.131 \| good
2026-03-31T03:00:00.000Z	33 \| good	6.475 \| good	11.807 \| good	31.783 \| good	0.361 \| good	3.215 \| good	0.128 \| good
2026-03-31T04:00:00.000Z	33 \| good	6.106 \| good	11.101 \| good	30.912 \| good	0.336 \| good	3.005 \| good	0.128 \| good
2026-03-31T05:00:00.000Z	33 \| good	6.287 \| good	11.087 \| good	28.592 \| good	0.346 \| good	3.501 \| good	0.128 \| good
2026-03-31T06:00:00.000Z	33 \| good	6.375 \| good	11 \| good	25.173 \| good	0.398 \| good	4.598 \| good	0.13 \| good
2026-03-31T07:00:00.000Z	38 \| good	6.603 \| good	11.113 \| good	23.279 \| good	0.448 \| good	5.704 \| good	0.135 \| good
2026-03-31T08:00:00.000Z	38 \| good	7.43 \| good	11.027 \| good	24.304 \| good	0.527 \| good	7.425 \| good	0.14 \| good
2026-03-31T09:00:00.000Z	38 \| good	7.445 \| good	10.134 \| good	24.66 \| good	0.461 \| good	6.447 \| good	0.137 \| good
2026-03-31T10:00:00.000Z	33 \| good	6.007 \| good	8.55 \| good	26.542 \| good	0.365 \| good	5.208 \| good	0.129 \| good
2026-03-31T11:00:00.000Z	27 \| good	5.045 \| good	6.614 \| good	26.532 \| good	0.247 \| good	3.918 \| good	0.122 \| good
2026-03-31T12:00:00.000Z	28 \| good	4.057 \| good	6.432 \| good	29.563 \| good	0.188 \| good	2.526 \| good	0.116 \| good
2026-03-31T13:00:00.000Z	29 \| good	3.559 \| good	5.788 \| good	31.252 \| good	0.179 \| good	2.184 \| good	0.115 \| good
2026-03-31T14:00:00.000Z	31 \| good	3.273 \| good	5.39 \| good	34.008 \| good	0.149 \| good	1.781 \| good	0.113 \| good
2026-03-31T15:00:00.000Z	33 \| good	3.279 \| good	5.876 \| good	35.879 \| good	0.166 \| good	1.606 \| good	0.112 \| good
2026-03-31T16:00:00.000Z	32 \| good	3.486 \| good	6.29 \| good	35.29 \| good	0.18 \| good	2.12 \| good	0.115 \| good
2026-03-31T17:00:00.000Z	30 \| good	4.221 \| good	6.844 \| good	32.375 \| good	0.218 \| good	3.041 \| good	0.12 \| good
2026-03-31T18:00:00.000Z	28 \| good	5.089 \| good	7.769 \| good	30.098 \| good	0.356 \| good	5.097 \| good	0.128 \| good
2026-03-31T19:00:00.000Z	33 \| good	6.071 \| good	9.216 \| good	28.295 \| good	0.433 \| good	6.267 \| good	0.131 \| good
2026-03-31T20:00:00.000Z	33 \| good	6.233 \| good	9.221 \| good	27.892 \| good	0.554 \| good	6.417 \| good	0.132 \| good
2026-03-31T21:00:00.000Z	38 \| good	6.673 \| good	9.694 \| good	26.291 \| good	0.647 \| good	6.601 \| good	0.134 \| good
2026-03-31T22:00:00.000Z	44 \| good	7.757 \| good	10.798 \| good	24.126 \| good	0.533 \| good	6.866 \| good	0.136 \| good

Real-time air quality index in Earl Shilton, Leicestershire today

Common air pollutants in Earl Shilton, Leicestershire

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Earl Shilton, Leicestershire air quality forecast and history

Empower business decisions with accurate air quality data

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

Air quality in nearby cities

Hinckley, Leicestershire

Enderby, Leicestershire

Leicester Forest East, Leicestershire

Blaby, Leicestershire

Nuneaton, Warwickshire

Wigston, Leicestershire

How accurate is Leicestershire, UK air quality data?

Air quality levels in UK

Frequently asked questions

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

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

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

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

Which pollutant is found most often in Earl Shilton, Leicestershire?

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

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

What are the current PM10 levels at Earl Shilton, Leicestershire?

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

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

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

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

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 Earl Shilton, Leicestershire?

What are the current PM₁₀ levels at Earl Shilton, Leicestershire?

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

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

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