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

Wigston, Leicestershire currently has a PM10 concentration of 12.87 μg/m3.

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

The current sulfur dioxide (SO2) concentration in Wigston, Leicestershire is 0.45 ppb.

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

Wigston, Leicestershire currently has an ozone (O3) concentration of 8.822 ppm.

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

The current level of nitrogen dioxide (NO2) in Wigston, Leicestershire is 16.731 ppb.

Current air quality index in Wigston, Leicestershire today

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

Wigston, Leicestershire currently has a PM2.5 concentration of 7.481 μg/m3.

Stay updated with real-time air quality in Wigston, 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

Wigston, Leicestershire

Last updated: ... (Local time)

Common air pollutants in Wigston, Leicestershire

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

7.48 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

12.87 μg/m³

155

255

425

605+

Ozone (O₃)

8.82 ppb

201

201+

Sulfur Dioxide (SO₂)

0.45 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

16.73 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.04 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

Wigston, Leicestershire

Get Live Pollen Counts

Wigston, Leicestershire

Scroll To Air Quality Map

Track live Wigston, Leicestershire air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-02-10T19:00:00.000Z	56 \| moderate	11.513 \| good	15.098 \| good	16.795 \| good	0.642 \| good	14.029 \| good	0.054 \| good
2026-02-10T20:00:00.000Z	56 \| moderate	11.513 \| good	15.098 \| good	16.825 \| good	0.688 \| good	13.964 \| good	0.056 \| good
2026-02-10T21:00:00.000Z	56 \| moderate	11.504 \| good	15.089 \| good	16.854 \| good	0.718 \| good	12.418 \| good	0.061 \| good
2026-02-10T22:00:00.000Z	56 \| moderate	11.504 \| good	15.089 \| good	17.836 \| good	0.522 \| good	8.885 \| good	0.058 \| good
2026-02-10T23:00:00.000Z	54 \| moderate	11.492 \| good	14.64 \| good	18.326 \| good	0.46 \| good	7.88 \| good	0.053 \| good
2026-02-11T00:00:00.000Z	54 \| moderate	11.492 \| good	14.034 \| good	19.316 \| good	0.604 \| good	7.077 \| good	0.817 \| good
2026-02-11T01:00:00.000Z	54 \| moderate	10.885 \| good	14.026 \| good	19.775 \| good	0.594 \| good	8.827 \| good	0.781 \| good
2026-02-11T02:00:00.000Z	54 \| moderate	10.877 \| good	14.016 \| good	19.76 \| good	0.535 \| good	10.954 \| good	0.671 \| good
2026-02-11T03:00:00.000Z	52 \| moderate	10.494 \| good	14.016 \| good	20.304 \| good	0.636 \| good	9.622 \| good	0.514 \| good
2026-02-11T04:00:00.000Z	52 \| moderate	10.494 \| good	13.997 \| good	19.818 \| good	0.462 \| good	9.067 \| good	0.465 \| good
2026-02-11T05:00:00.000Z	52 \| moderate	10.494 \| good	13.997 \| good	19.839 \| good	0.465 \| good	9.067 \| good	0.379 \| good
2026-02-11T06:00:00.000Z	52 \| moderate	9.88 \| good	13.018 \| good	19.769 \| good	0.604 \| good	6.011 \| good	0.035 \| good
2026-02-11T07:00:00.000Z	49 \| good	9.497 \| good	12.031 \| good	19.276 \| good	0.606 \| good	12.53 \| good	0.041 \| good
2026-02-11T08:00:00.000Z	49 \| good	8.888 \| good	11.97 \| good	18.726 \| good	0.59 \| good	14.188 \| good	0.047 \| good
2026-02-11T09:00:00.000Z	44 \| good	8.497 \| good	11.589 \| good	17.778 \| good	0.609 \| good	21.024 \| good	0.045 \| good
2026-02-11T10:00:00.000Z	44 \| good	8.497 \| good	10.983 \| good	18.294 \| good	0.669 \| good	17.395 \| good	0.049 \| good
2026-02-11T11:00:00.000Z	44 \| good	8.476 \| good	10.924 \| good	20.32 \| good	0.616 \| good	16.683 \| good	0.048 \| good
2026-02-11T12:00:00.000Z	44 \| good	7.88 \| good	10.542 \| good	22.457 \| good	0.76 \| good	13.316 \| good	0.024 \| good
2026-02-11T13:00:00.000Z	38 \| good	7.497 \| good	10.542 \| good	23.493 \| good	0.7 \| good	14.039 \| good	0.026 \| good
2026-02-11T14:00:00.000Z	38 \| good	7.476 \| good	9.896 \| good	25.034 \| good	0.844 \| good	10.63 \| good	0.025 \| good
2026-02-11T15:00:00.000Z	38 \| good	7.476 \| good	9.504 \| good	26.509 \| good	0.892 \| good	11.047 \| good	0.029 \| good
2026-02-11T16:00:00.000Z	38 \| good	7.453 \| good	9.454 \| good	28 \| good	0.891 \| good	13.704 \| good	0.032 \| good
2026-02-11T17:00:00.000Z	38 \| good	7.08 \| good	9.454 \| good	30.09 \| good	1.106 \| good	15.142 \| good	0.038 \| good
2026-02-11T18:00:00.000Z	38 \| good	7.08 \| good	9.444 \| good	30.555 \| good	0.866 \| good	16.272 \| good	0.05 \| good
2026-02-11T19:00:00.000Z	38 \| good	7.07 \| good	9.444 \| good	29.071 \| good	0.742 \| good	26.882 \| good	0.062 \| good
2026-02-11T20:00:00.000Z	38 \| good	7.07 \| good	9.452 \| good	26.076 \| good	0.758 \| good	29.065 \| good	0.077 \| good
2026-02-11T21:00:00.000Z	38 \| good	7.07 \| good	9.461 \| good	23.522 \| good	0.818 \| good	27.912 \| good	0.065 \| good
2026-02-11T22:00:00.000Z	38 \| good	7.083 \| good	10.489 \| good	21.443 \| good	0.585 \| good	21.937 \| good	0.084 \| good
2026-02-11T23:00:00.000Z	38 \| good	7.464 \| good	10.489 \| good	18.31 \| good	0.643 \| good	24.77 \| good	0.08 \| good
2026-02-12T00:00:00.000Z	38 \| good	7.092 \| good	10.497 \| good	16.291 \| good	0.83 \| good	25.096 \| good	1.01 \| good
2026-02-12T01:00:00.000Z	38 \| good	7.464 \| good	11.476 \| good	13.665 \| good	0.603 \| good	25.588 \| good	0.803 \| good
2026-02-12T02:00:00.000Z	38 \| good	7.451 \| good	11.434 \| good	11.198 \| good	0.621 \| good	22.286 \| good	0.626 \| good
2026-02-12T03:00:00.000Z	38 \| good	7.461 \| good	11.434 \| good	10.596 \| good	0.596 \| good	20.265 \| good	0.531 \| good
2026-02-12T04:00:00.000Z	38 \| good	7.461 \| good	11.452 \| good	10.633 \| good	0.523 \| good	16.308 \| good	0.575 \| good
2026-02-12T05:00:00.000Z	38 \| good	7.461 \| good	11.452 \| good	11.651 \| good	0.521 \| good	9.072 \| good	0.518 \| good
2026-02-12T06:00:00.000Z	38 \| good	7.461 \| good	11.452 \| good	12.727 \| good	0.523 \| good	6.791 \| good	0.032 \| good
2026-02-12T07:00:00.000Z	38 \| good	7.461 \| good	12.048 \| good	13.317 \| good	0.461 \| good	13.333 \| good	0.045 \| good
2026-02-12T08:00:00.000Z	38 \| good	7.46 \| good	12.419 \| good	14.328 \| good	0.548 \| good	14.224 \| good	0.052 \| good
2026-02-12T09:00:00.000Z	38 \| good	7.46 \| good	12.419 \| good	14.912 \| good	0.464 \| good	20.01 \| good	0.044 \| good
2026-02-12T10:00:00.000Z	44 \| good	8.056 \| good	12.419 \| good	14.858 \| good	0.463 \| good	19.17 \| good	0.031 \| good
2026-02-12T11:00:00.000Z	44 \| good	8.056 \| good	12.801 \| good	14.407 \| good	0.564 \| good	12.468 \| good	0.025 \| good
2026-02-12T12:00:00.000Z	44 \| good	8.069 \| good	12.851 \| good	13.385 \| good	0.621 \| good	10.808 \| good	0.287 \| good
2026-02-12T13:00:00.000Z	44 \| good	8.069 \| good	12.851 \| good	11.902 \| good	0.531 \| good	9.322 \| good	0.297 \| good
2026-02-12T14:00:00.000Z	44 \| good	8.069 \| good	12.851 \| good	10.867 \| good	0.56 \| good	10.779 \| good	0.023 \| good
2026-02-12T15:00:00.000Z	38 \| good	7.481 \| good	12.851 \| good	9.863 \| good	0.527 \| good	14.186 \| good	0.024 \| good
2026-02-12T16:00:00.000Z	38 \| good	7.481 \| good	12.86 \| good	8.888 \| good	0.512 \| good	14.295 \| good	0.03 \| good
2026-02-12T17:00:00.000Z	38 \| good	7.481 \| good	12.87 \| good	8.822 \| good	0.45 \| good	16.731 \| good	0.035 \| good
2026-02-12T18:00:00.000Z	38 \| good	7.481 \| good	12.87 \| good	8.802 \| good	0.452 \| good	19.513 \| good	0.054 \| good
2026-02-12T18:00:00.000Z	38 \| good	7.481 \| good	12.87 \| good	8.822 \| good	0.45 \| good	16.731 \| good	0.035 \| good
2026-02-12T19:00:00.000Z	38 \| good	7.352 \| good	10.716 \| good	12.698 \| good	0.514 \| good	9.29 \| good	0.261 \| good
2026-02-12T20:00:00.000Z	44 \| good	7.563 \| good	10.013 \| good	13.907 \| good	0.401 \| good	8.381 \| good	0.241 \| good
2026-02-12T21:00:00.000Z	38 \| good	7.439 \| good	9.08 \| good	15.3 \| good	0.412 \| good	7.483 \| good	0.231 \| good
2026-02-12T22:00:00.000Z	38 \| good	7.395 \| good	9.025 \| good	16.748 \| good	0.373 \| good	6.2 \| good	0.223 \| good
2026-02-12T23:00:00.000Z	38 \| good	7.076 \| good	8.904 \| good	18.009 \| good	0.321 \| good	4.847 \| good	0.212 \| good
2026-02-13T00:00:00.000Z	33 \| good	6.305 \| good	8.054 \| good	19.51 \| good	0.253 \| good	3.848 \| good	0.198 \| good
2026-02-13T01:00:00.000Z	27 \| good	5.425 \| good	6.997 \| good	21.197 \| good	0.19 \| good	3.057 \| good	0.186 \| good
2026-02-13T02:00:00.000Z	27 \| good	4.9 \| good	6.377 \| good	21.901 \| good	0.136 \| good	2.521 \| good	0.176 \| good
2026-02-13T03:00:00.000Z	27 \| good	4.657 \| good	6.083 \| good	21.969 \| good	0.129 \| good	2.222 \| good	0.17 \| good
2026-02-13T04:00:00.000Z	22 \| good	4.247 \| good	5.525 \| good	22.437 \| good	0.143 \| good	1.92 \| good	0.165 \| good
2026-02-13T05:00:00.000Z	22 \| good	4.12 \| good	5.463 \| good	22.512 \| good	0.149 \| good	1.689 \| good	0.163 \| good
2026-02-13T06:00:00.000Z	22 \| good	4.151 \| good	5.563 \| good	23.16 \| good	0.176 \| good	1.797 \| good	0.161 \| good
2026-02-13T07:00:00.000Z	22 \| good	4.325 \| good	5.863 \| good	23.845 \| good	0.209 \| good	2.248 \| good	0.157 \| good
2026-02-13T08:00:00.000Z	22 \| good	4.391 \| good	6.032 \| good	23.943 \| good	0.263 \| good	2.792 \| good	0.157 \| good
2026-02-13T09:00:00.000Z	24 \| good	4.207 \| good	5.951 \| good	25.754 \| good	0.275 \| good	3.021 \| good	0.155 \| good
2026-02-13T10:00:00.000Z	26 \| good	3.849 \| good	5.523 \| good	27.813 \| good	0.234 \| good	2.761 \| good	0.152 \| good
2026-02-13T11:00:00.000Z	27 \| good	3.525 \| good	5.614 \| good	29.358 \| good	0.185 \| good	2.249 \| good	0.149 \| good
2026-02-13T12:00:00.000Z	30 \| good	3.357 \| good	5.034 \| good	31.652 \| good	0.147 \| good	2.019 \| good	0.146 \| good
2026-02-13T13:00:00.000Z	31 \| good	3.099 \| good	4.92 \| good	33.006 \| good	0.123 \| good	1.887 \| good	0.143 \| good
2026-02-13T14:00:00.000Z	31 \| good	3.043 \| good	5.252 \| good	33.256 \| good	0.11 \| good	1.932 \| good	0.141 \| good
2026-02-13T15:00:00.000Z	31 \| good	2.838 \| good	4.743 \| good	33.072 \| good	0.112 \| good	2.049 \| good	0.14 \| good
2026-02-13T16:00:00.000Z	31 \| good	2.849 \| good	4.58 \| good	33.082 \| good	0.111 \| good	2.336 \| good	0.145 \| good
2026-02-13T17:00:00.000Z	29 \| good	3.541 \| good	6.8 \| good	31.003 \| good	0.133 \| good	2.825 \| good	0.143 \| good
2026-02-13T18:00:00.000Z	30 \| good	4.218 \| good	7.404 \| good	32.36 \| good	0.2 \| good	3.362 \| good	0.145 \| good
2026-02-13T19:00:00.000Z	31 \| good	4.219 \| good	8.02 \| good	32.614 \| good	0.284 \| good	3.667 \| good	0.147 \| good
2026-02-13T20:00:00.000Z	29 \| good	4.174 \| good	8.626 \| good	31.08 \| good	0.382 \| good	3.818 \| good	0.15 \| good
2026-02-13T21:00:00.000Z	30 \| good	4.265 \| good	8.811 \| good	31.609 \| good	0.431 \| good	3.84 \| good	0.15 \| good
2026-02-13T22:00:00.000Z	29 \| good	4.301 \| good	8.926 \| good	31.002 \| good	0.486 \| good	3.922 \| good	0.153 \| good
2026-02-13T23:00:00.000Z	29 \| good	4.381 \| good	8.761 \| good	30.928 \| good	0.478 \| good	4.097 \| good	0.152 \| good
2026-02-14T00:00:00.000Z	30 \| good	4.149 \| good	8.146 \| good	31.733 \| good	0.446 \| good	3.535 \| good	0.15 \| good
2026-02-14T01:00:00.000Z	29 \| good	3.717 \| good	7.697 \| good	31.156 \| good	0.389 \| good	3.043 \| good	0.147 \| good
2026-02-14T02:00:00.000Z	28 \| good	4.334 \| good	7.866 \| good	30.442 \| good	0.409 \| good	4.167 \| good	0.148 \| good
2026-02-14T03:00:00.000Z	33 \| good	5.674 \| good	8.06 \| good	28.101 \| good	0.507 \| good	5.946 \| good	0.153 \| good
2026-02-14T04:00:00.000Z	38 \| good	7.376 \| good	9.422 \| good	27.741 \| good	0.557 \| good	6.515 \| good	0.155 \| good
2026-02-14T05:00:00.000Z	38 \| good	6.772 \| good	9.341 \| good	27.984 \| good	0.56 \| good	4.823 \| good	0.153 \| good
2026-02-14T06:00:00.000Z	33 \| good	6.393 \| good	9.451 \| good	27.754 \| good	0.535 \| good	5.049 \| good	0.152 \| good
2026-02-14T07:00:00.000Z	38 \| good	6.636 \| good	9.111 \| good	26.582 \| good	0.6 \| good	6.007 \| good	0.154 \| good
2026-02-14T08:00:00.000Z	38 \| good	7.196 \| good	9.578 \| good	24.667 \| good	0.752 \| good	7.793 \| good	0.161 \| good
2026-02-14T09:00:00.000Z	38 \| good	6.604 \| good	10.167 \| good	28.558 \| good	0.806 \| good	7.023 \| good	0.16 \| good
2026-02-14T10:00:00.000Z	33 \| good	5.792 \| good	9.642 \| good	27.313 \| good	0.707 \| good	5.452 \| good	0.156 \| good
2026-02-14T11:00:00.000Z	33 \| good	5.538 \| good	8.682 \| good	28.455 \| good	0.621 \| good	4.763 \| good	0.154 \| good
2026-02-14T12:00:00.000Z	30 \| good	3.992 \| good	7.52 \| good	31.542 \| good	0.535 \| good	4.055 \| good	0.149 \| good
2026-02-14T13:00:00.000Z	31 \| good	3.508 \| good	6.969 \| good	34.203 \| good	0.468 \| good	3.32 \| good	0.147 \| good
2026-02-14T14:00:00.000Z	32 \| good	3.252 \| good	6.428 \| good	35.254 \| good	0.449 \| good	3.156 \| good	0.146 \| good
2026-02-14T15:00:00.000Z	33 \| good	3.295 \| good	6.498 \| good	36.158 \| good	0.443 \| good	3.532 \| good	0.146 \| good
2026-02-14T16:00:00.000Z	29 \| good	3.945 \| good	7.184 \| good	31.333 \| good	0.428 \| good	4.795 \| good	0.15 \| good
2026-02-14T17:00:00.000Z	27 \| good	5.089 \| good	8.538 \| good	28.739 \| good	0.535 \| good	7.385 \| good	0.158 \| good
2026-02-14T18:00:00.000Z	38 \| good	6.739 \| good	12.273 \| good	24.154 \| good	0.585 \| good	11.283 \| good	0.169 \| good

Wigston

Empower business decisions with accurate air quality data

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

0.04ppm

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 Wigston, Leicestershire get updated?

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

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

Wigston, Leicestershire experienced its worst air quality at 02:00:00, 2026-02-12.

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

The best air quality in Wigston, Leicestershire was observed at 05:00:00 on 2026-02-12.

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

The air quality in Wigston, Leicestershire right now is Good, with an AQI of 38.

What pollutant is most frequently found in Wigston, Leicestershire?

In Wigston, Leicestershire, PM2.5 is the most frequently found pollutant.

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

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

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

Wigston, Leicestershire currently has a PM_2.5 concentration of 7.481 μg/m³.

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

Wigston, Leicestershire currently has a PM₁₀ concentration of 12.87 μg/m³.

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

The current carbon monoxide (CO) level in Wigston, Leicestershire is 0.035 ppm.

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

The current sulfur dioxide (SO₂) concentration in Wigston, Leicestershire is 0.45 ppb.

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

Wigston, Leicestershire currently has an ozone (O₃) concentration of 8.822 ppm.

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

The current level of nitrogen dioxide (NO₂) in Wigston, Leicestershire is 16.731 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-02-10T19:00:00.000Z	56 \| moderate	11.513 \| good	15.098 \| good	16.795 \| good	0.642 \| good	14.029 \| good	0.054 \| good
2026-02-10T20:00:00.000Z	56 \| moderate	11.513 \| good	15.098 \| good	16.825 \| good	0.688 \| good	13.964 \| good	0.056 \| good
2026-02-10T21:00:00.000Z	56 \| moderate	11.504 \| good	15.089 \| good	16.854 \| good	0.718 \| good	12.418 \| good	0.061 \| good
2026-02-10T22:00:00.000Z	56 \| moderate	11.504 \| good	15.089 \| good	17.836 \| good	0.522 \| good	8.885 \| good	0.058 \| good
2026-02-10T23:00:00.000Z	54 \| moderate	11.492 \| good	14.64 \| good	18.326 \| good	0.46 \| good	7.88 \| good	0.053 \| good
2026-02-11T00:00:00.000Z	54 \| moderate	11.492 \| good	14.034 \| good	19.316 \| good	0.604 \| good	7.077 \| good	0.817 \| good
2026-02-11T01:00:00.000Z	54 \| moderate	10.885 \| good	14.026 \| good	19.775 \| good	0.594 \| good	8.827 \| good	0.781 \| good
2026-02-11T02:00:00.000Z	54 \| moderate	10.877 \| good	14.016 \| good	19.76 \| good	0.535 \| good	10.954 \| good	0.671 \| good
2026-02-11T03:00:00.000Z	52 \| moderate	10.494 \| good	14.016 \| good	20.304 \| good	0.636 \| good	9.622 \| good	0.514 \| good
2026-02-11T04:00:00.000Z	52 \| moderate	10.494 \| good	13.997 \| good	19.818 \| good	0.462 \| good	9.067 \| good	0.465 \| good
2026-02-11T05:00:00.000Z	52 \| moderate	10.494 \| good	13.997 \| good	19.839 \| good	0.465 \| good	9.067 \| good	0.379 \| good
2026-02-11T06:00:00.000Z	52 \| moderate	9.88 \| good	13.018 \| good	19.769 \| good	0.604 \| good	6.011 \| good	0.035 \| good
2026-02-11T07:00:00.000Z	49 \| good	9.497 \| good	12.031 \| good	19.276 \| good	0.606 \| good	12.53 \| good	0.041 \| good
2026-02-11T08:00:00.000Z	49 \| good	8.888 \| good	11.97 \| good	18.726 \| good	0.59 \| good	14.188 \| good	0.047 \| good
2026-02-11T09:00:00.000Z	44 \| good	8.497 \| good	11.589 \| good	17.778 \| good	0.609 \| good	21.024 \| good	0.045 \| good
2026-02-11T10:00:00.000Z	44 \| good	8.497 \| good	10.983 \| good	18.294 \| good	0.669 \| good	17.395 \| good	0.049 \| good
2026-02-11T11:00:00.000Z	44 \| good	8.476 \| good	10.924 \| good	20.32 \| good	0.616 \| good	16.683 \| good	0.048 \| good
2026-02-11T12:00:00.000Z	44 \| good	7.88 \| good	10.542 \| good	22.457 \| good	0.76 \| good	13.316 \| good	0.024 \| good
2026-02-11T13:00:00.000Z	38 \| good	7.497 \| good	10.542 \| good	23.493 \| good	0.7 \| good	14.039 \| good	0.026 \| good
2026-02-11T14:00:00.000Z	38 \| good	7.476 \| good	9.896 \| good	25.034 \| good	0.844 \| good	10.63 \| good	0.025 \| good
2026-02-11T15:00:00.000Z	38 \| good	7.476 \| good	9.504 \| good	26.509 \| good	0.892 \| good	11.047 \| good	0.029 \| good
2026-02-11T16:00:00.000Z	38 \| good	7.453 \| good	9.454 \| good	28 \| good	0.891 \| good	13.704 \| good	0.032 \| good
2026-02-11T17:00:00.000Z	38 \| good	7.08 \| good	9.454 \| good	30.09 \| good	1.106 \| good	15.142 \| good	0.038 \| good
2026-02-11T18:00:00.000Z	38 \| good	7.08 \| good	9.444 \| good	30.555 \| good	0.866 \| good	16.272 \| good	0.05 \| good
2026-02-11T19:00:00.000Z	38 \| good	7.07 \| good	9.444 \| good	29.071 \| good	0.742 \| good	26.882 \| good	0.062 \| good
2026-02-11T20:00:00.000Z	38 \| good	7.07 \| good	9.452 \| good	26.076 \| good	0.758 \| good	29.065 \| good	0.077 \| good
2026-02-11T21:00:00.000Z	38 \| good	7.07 \| good	9.461 \| good	23.522 \| good	0.818 \| good	27.912 \| good	0.065 \| good
2026-02-11T22:00:00.000Z	38 \| good	7.083 \| good	10.489 \| good	21.443 \| good	0.585 \| good	21.937 \| good	0.084 \| good
2026-02-11T23:00:00.000Z	38 \| good	7.464 \| good	10.489 \| good	18.31 \| good	0.643 \| good	24.77 \| good	0.08 \| good
2026-02-12T00:00:00.000Z	38 \| good	7.092 \| good	10.497 \| good	16.291 \| good	0.83 \| good	25.096 \| good	1.01 \| good
2026-02-12T01:00:00.000Z	38 \| good	7.464 \| good	11.476 \| good	13.665 \| good	0.603 \| good	25.588 \| good	0.803 \| good
2026-02-12T02:00:00.000Z	38 \| good	7.451 \| good	11.434 \| good	11.198 \| good	0.621 \| good	22.286 \| good	0.626 \| good
2026-02-12T03:00:00.000Z	38 \| good	7.461 \| good	11.434 \| good	10.596 \| good	0.596 \| good	20.265 \| good	0.531 \| good
2026-02-12T04:00:00.000Z	38 \| good	7.461 \| good	11.452 \| good	10.633 \| good	0.523 \| good	16.308 \| good	0.575 \| good
2026-02-12T05:00:00.000Z	38 \| good	7.461 \| good	11.452 \| good	11.651 \| good	0.521 \| good	9.072 \| good	0.518 \| good
2026-02-12T06:00:00.000Z	38 \| good	7.461 \| good	11.452 \| good	12.727 \| good	0.523 \| good	6.791 \| good	0.032 \| good
2026-02-12T07:00:00.000Z	38 \| good	7.461 \| good	12.048 \| good	13.317 \| good	0.461 \| good	13.333 \| good	0.045 \| good
2026-02-12T08:00:00.000Z	38 \| good	7.46 \| good	12.419 \| good	14.328 \| good	0.548 \| good	14.224 \| good	0.052 \| good
2026-02-12T09:00:00.000Z	38 \| good	7.46 \| good	12.419 \| good	14.912 \| good	0.464 \| good	20.01 \| good	0.044 \| good
2026-02-12T10:00:00.000Z	44 \| good	8.056 \| good	12.419 \| good	14.858 \| good	0.463 \| good	19.17 \| good	0.031 \| good
2026-02-12T11:00:00.000Z	44 \| good	8.056 \| good	12.801 \| good	14.407 \| good	0.564 \| good	12.468 \| good	0.025 \| good
2026-02-12T12:00:00.000Z	44 \| good	8.069 \| good	12.851 \| good	13.385 \| good	0.621 \| good	10.808 \| good	0.287 \| good
2026-02-12T13:00:00.000Z	44 \| good	8.069 \| good	12.851 \| good	11.902 \| good	0.531 \| good	9.322 \| good	0.297 \| good
2026-02-12T14:00:00.000Z	44 \| good	8.069 \| good	12.851 \| good	10.867 \| good	0.56 \| good	10.779 \| good	0.023 \| good
2026-02-12T15:00:00.000Z	38 \| good	7.481 \| good	12.851 \| good	9.863 \| good	0.527 \| good	14.186 \| good	0.024 \| good
2026-02-12T16:00:00.000Z	38 \| good	7.481 \| good	12.86 \| good	8.888 \| good	0.512 \| good	14.295 \| good	0.03 \| good
2026-02-12T17:00:00.000Z	38 \| good	7.481 \| good	12.87 \| good	8.822 \| good	0.45 \| good	16.731 \| good	0.035 \| good
2026-02-12T18:00:00.000Z	38 \| good	7.481 \| good	12.87 \| good	8.802 \| good	0.452 \| good	19.513 \| good	0.054 \| good
2026-02-12T18:00:00.000Z	38 \| good	7.481 \| good	12.87 \| good	8.822 \| good	0.45 \| good	16.731 \| good	0.035 \| good
2026-02-12T19:00:00.000Z	38 \| good	7.352 \| good	10.716 \| good	12.698 \| good	0.514 \| good	9.29 \| good	0.261 \| good
2026-02-12T20:00:00.000Z	44 \| good	7.563 \| good	10.013 \| good	13.907 \| good	0.401 \| good	8.381 \| good	0.241 \| good
2026-02-12T21:00:00.000Z	38 \| good	7.439 \| good	9.08 \| good	15.3 \| good	0.412 \| good	7.483 \| good	0.231 \| good
2026-02-12T22:00:00.000Z	38 \| good	7.395 \| good	9.025 \| good	16.748 \| good	0.373 \| good	6.2 \| good	0.223 \| good
2026-02-12T23:00:00.000Z	38 \| good	7.076 \| good	8.904 \| good	18.009 \| good	0.321 \| good	4.847 \| good	0.212 \| good
2026-02-13T00:00:00.000Z	33 \| good	6.305 \| good	8.054 \| good	19.51 \| good	0.253 \| good	3.848 \| good	0.198 \| good
2026-02-13T01:00:00.000Z	27 \| good	5.425 \| good	6.997 \| good	21.197 \| good	0.19 \| good	3.057 \| good	0.186 \| good
2026-02-13T02:00:00.000Z	27 \| good	4.9 \| good	6.377 \| good	21.901 \| good	0.136 \| good	2.521 \| good	0.176 \| good
2026-02-13T03:00:00.000Z	27 \| good	4.657 \| good	6.083 \| good	21.969 \| good	0.129 \| good	2.222 \| good	0.17 \| good
2026-02-13T04:00:00.000Z	22 \| good	4.247 \| good	5.525 \| good	22.437 \| good	0.143 \| good	1.92 \| good	0.165 \| good
2026-02-13T05:00:00.000Z	22 \| good	4.12 \| good	5.463 \| good	22.512 \| good	0.149 \| good	1.689 \| good	0.163 \| good
2026-02-13T06:00:00.000Z	22 \| good	4.151 \| good	5.563 \| good	23.16 \| good	0.176 \| good	1.797 \| good	0.161 \| good
2026-02-13T07:00:00.000Z	22 \| good	4.325 \| good	5.863 \| good	23.845 \| good	0.209 \| good	2.248 \| good	0.157 \| good
2026-02-13T08:00:00.000Z	22 \| good	4.391 \| good	6.032 \| good	23.943 \| good	0.263 \| good	2.792 \| good	0.157 \| good
2026-02-13T09:00:00.000Z	24 \| good	4.207 \| good	5.951 \| good	25.754 \| good	0.275 \| good	3.021 \| good	0.155 \| good
2026-02-13T10:00:00.000Z	26 \| good	3.849 \| good	5.523 \| good	27.813 \| good	0.234 \| good	2.761 \| good	0.152 \| good
2026-02-13T11:00:00.000Z	27 \| good	3.525 \| good	5.614 \| good	29.358 \| good	0.185 \| good	2.249 \| good	0.149 \| good
2026-02-13T12:00:00.000Z	30 \| good	3.357 \| good	5.034 \| good	31.652 \| good	0.147 \| good	2.019 \| good	0.146 \| good
2026-02-13T13:00:00.000Z	31 \| good	3.099 \| good	4.92 \| good	33.006 \| good	0.123 \| good	1.887 \| good	0.143 \| good
2026-02-13T14:00:00.000Z	31 \| good	3.043 \| good	5.252 \| good	33.256 \| good	0.11 \| good	1.932 \| good	0.141 \| good
2026-02-13T15:00:00.000Z	31 \| good	2.838 \| good	4.743 \| good	33.072 \| good	0.112 \| good	2.049 \| good	0.14 \| good
2026-02-13T16:00:00.000Z	31 \| good	2.849 \| good	4.58 \| good	33.082 \| good	0.111 \| good	2.336 \| good	0.145 \| good
2026-02-13T17:00:00.000Z	29 \| good	3.541 \| good	6.8 \| good	31.003 \| good	0.133 \| good	2.825 \| good	0.143 \| good
2026-02-13T18:00:00.000Z	30 \| good	4.218 \| good	7.404 \| good	32.36 \| good	0.2 \| good	3.362 \| good	0.145 \| good
2026-02-13T19:00:00.000Z	31 \| good	4.219 \| good	8.02 \| good	32.614 \| good	0.284 \| good	3.667 \| good	0.147 \| good
2026-02-13T20:00:00.000Z	29 \| good	4.174 \| good	8.626 \| good	31.08 \| good	0.382 \| good	3.818 \| good	0.15 \| good
2026-02-13T21:00:00.000Z	30 \| good	4.265 \| good	8.811 \| good	31.609 \| good	0.431 \| good	3.84 \| good	0.15 \| good
2026-02-13T22:00:00.000Z	29 \| good	4.301 \| good	8.926 \| good	31.002 \| good	0.486 \| good	3.922 \| good	0.153 \| good
2026-02-13T23:00:00.000Z	29 \| good	4.381 \| good	8.761 \| good	30.928 \| good	0.478 \| good	4.097 \| good	0.152 \| good
2026-02-14T00:00:00.000Z	30 \| good	4.149 \| good	8.146 \| good	31.733 \| good	0.446 \| good	3.535 \| good	0.15 \| good
2026-02-14T01:00:00.000Z	29 \| good	3.717 \| good	7.697 \| good	31.156 \| good	0.389 \| good	3.043 \| good	0.147 \| good
2026-02-14T02:00:00.000Z	28 \| good	4.334 \| good	7.866 \| good	30.442 \| good	0.409 \| good	4.167 \| good	0.148 \| good
2026-02-14T03:00:00.000Z	33 \| good	5.674 \| good	8.06 \| good	28.101 \| good	0.507 \| good	5.946 \| good	0.153 \| good
2026-02-14T04:00:00.000Z	38 \| good	7.376 \| good	9.422 \| good	27.741 \| good	0.557 \| good	6.515 \| good	0.155 \| good
2026-02-14T05:00:00.000Z	38 \| good	6.772 \| good	9.341 \| good	27.984 \| good	0.56 \| good	4.823 \| good	0.153 \| good
2026-02-14T06:00:00.000Z	33 \| good	6.393 \| good	9.451 \| good	27.754 \| good	0.535 \| good	5.049 \| good	0.152 \| good
2026-02-14T07:00:00.000Z	38 \| good	6.636 \| good	9.111 \| good	26.582 \| good	0.6 \| good	6.007 \| good	0.154 \| good
2026-02-14T08:00:00.000Z	38 \| good	7.196 \| good	9.578 \| good	24.667 \| good	0.752 \| good	7.793 \| good	0.161 \| good
2026-02-14T09:00:00.000Z	38 \| good	6.604 \| good	10.167 \| good	28.558 \| good	0.806 \| good	7.023 \| good	0.16 \| good
2026-02-14T10:00:00.000Z	33 \| good	5.792 \| good	9.642 \| good	27.313 \| good	0.707 \| good	5.452 \| good	0.156 \| good
2026-02-14T11:00:00.000Z	33 \| good	5.538 \| good	8.682 \| good	28.455 \| good	0.621 \| good	4.763 \| good	0.154 \| good
2026-02-14T12:00:00.000Z	30 \| good	3.992 \| good	7.52 \| good	31.542 \| good	0.535 \| good	4.055 \| good	0.149 \| good
2026-02-14T13:00:00.000Z	31 \| good	3.508 \| good	6.969 \| good	34.203 \| good	0.468 \| good	3.32 \| good	0.147 \| good
2026-02-14T14:00:00.000Z	32 \| good	3.252 \| good	6.428 \| good	35.254 \| good	0.449 \| good	3.156 \| good	0.146 \| good
2026-02-14T15:00:00.000Z	33 \| good	3.295 \| good	6.498 \| good	36.158 \| good	0.443 \| good	3.532 \| good	0.146 \| good
2026-02-14T16:00:00.000Z	29 \| good	3.945 \| good	7.184 \| good	31.333 \| good	0.428 \| good	4.795 \| good	0.15 \| good
2026-02-14T17:00:00.000Z	27 \| good	5.089 \| good	8.538 \| good	28.739 \| good	0.535 \| good	7.385 \| good	0.158 \| good
2026-02-14T18:00:00.000Z	38 \| good	6.739 \| good	12.273 \| good	24.154 \| good	0.585 \| good	11.283 \| good	0.169 \| good

Current air quality index in Wigston, Leicestershire today

Common air pollutants in Wigston, Leicestershire

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Wigston, Leicestershire air quality forecast and history

Empower business decisions with accurate air quality data

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

Air quality in nearby cities

Oadby, Leicestershire

Blaby, Leicestershire

Enderby, Leicestershire

Leicester Forest East, Leicestershire

Birstall, Leicestershire

Syston, 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 Wigston, Leicestershire get updated?

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

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

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

What pollutant is most frequently found in Wigston, Leicestershire?

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

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

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

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

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

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

What is the current level of nitrogen dioxide (NO2) in Wigston, 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 Wigston, Leicestershire right now?

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

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

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

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