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

Syston, Leicestershire currently has a PM10 concentration of 11.582 μg/m3.

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

The current sulfur dioxide (SO2) concentration in Syston, Leicestershire is 0.519 ppb.

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

Syston, Leicestershire currently has an ozone (O3) concentration of 31.991 ppm.

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

The current level of nitrogen dioxide (NO2) in Syston, Leicestershire is 10.498 ppb.

Current air quality index in Syston, Leicestershire today

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

Syston, Leicestershire currently has a PM2.5 concentration of 4.661 μg/m3.

Stay updated with real-time air quality in Syston, 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

Syston, Leicestershire

Last updated: ... (Local time)

Common air pollutants in Syston, Leicestershire

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

4.66 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

11.58 μg/m³

155

255

425

605+

Ozone (O₃)

31.99 ppb

201

201+

Sulfur Dioxide (SO₂)

0.52 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

10.50 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.31 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Syston, Leicestershire

Get Live Pollen Counts

Syston, Leicestershire

Scroll To Air Quality Map

Track live Syston, Leicestershire air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-09-26T23:00:00.000Z	38 \| good	7.175 \| good	13.347 \| good	27.732 \| good	0.767 \| good	27.915 \| good	0.297 \| good
2026-09-27T00:00:00.000Z	44 \| good	7.743 \| good	13.863 \| good	24.618 \| good	0.903 \| good	25.687 \| good	0.226 \| good
2026-09-27T01:00:00.000Z	44 \| good	7.774 \| good	14.733 \| good	20.175 \| good	0.903 \| good	29.592 \| good	0.229 \| good
2026-09-27T02:00:00.000Z	44 \| good	7.774 \| good	14.785 \| good	16.455 \| good	0.741 \| good	24.893 \| good	0.212 \| good
2026-09-27T03:00:00.000Z	44 \| good	7.774 \| good	14.399 \| good	14.775 \| good	0.885 \| good	16.754 \| good	0.217 \| good
2026-09-27T04:00:00.000Z	38 \| good	7.363 \| good	14.303 \| good	14.951 \| good	0.861 \| good	13.943 \| good	0.205 \| good
2026-09-27T05:00:00.000Z	38 \| good	7.363 \| good	14.303 \| good	13.804 \| good	0.989 \| good	13.37 \| good	0.037 \| good
2026-09-27T06:00:00.000Z	38 \| good	7.363 \| good	14.303 \| good	13.178 \| good	0.789 \| good	10.689 \| good	0.034 \| good
2026-09-27T07:00:00.000Z	38 \| good	7.363 \| good	14.303 \| good	13.825 \| good	0.893 \| good	8.471 \| good	0.035 \| good
2026-09-27T08:00:00.000Z	38 \| good	7.387 \| good	14.399 \| good	14.287 \| good	0.901 \| good	10.483 \| good	0.037 \| good
2026-09-27T09:00:00.000Z	38 \| good	7.387 \| good	14.399 \| good	16.796 \| good	1.293 \| good	12.227 \| good	0.036 \| good
2026-09-27T10:00:00.000Z	44 \| good	7.774 \| good	14.399 \| good	19.502 \| good	1.416 \| good	9.604 \| good	0.043 \| good
2026-09-27T11:00:00.000Z	44 \| good	7.774 \| good	14.399 \| good	21.226 \| good	1.361 \| good	7.941 \| good	0.035 \| good
2026-09-27T12:00:00.000Z	44 \| good	7.774 \| good	14.399 \| good	22.936 \| good	1.106 \| good	8.003 \| good	0.033 \| good
2026-09-27T13:00:00.000Z	44 \| good	8.363 \| good	14.87 \| good	25.326 \| good	1.276 \| good	7.2 \| good	0.031 \| good
2026-09-27T14:00:00.000Z	44 \| good	8.363 \| good	15.386 \| good	27.324 \| good	1.184 \| good	6.867 \| good	0.032 \| good
2026-09-27T15:00:00.000Z	44 \| good	8.387 \| good	15.529 \| good	29.632 \| good	1.189 \| good	7.722 \| good	0.034 \| good
2026-09-27T16:00:00.000Z	44 \| good	8.387 \| good	15.581 \| good	31.867 \| good	1.101 \| good	7.295 \| good	0.033 \| good
2026-09-27T17:00:00.000Z	49 \| good	8.774 \| good	15.581 \| good	33.96 \| good	1.026 \| good	7.046 \| good	0.033 \| good
2026-09-27T18:00:00.000Z	49 \| good	8.774 \| good	15.581 \| good	34.387 \| good	1.03 \| good	8.445 \| good	0.039 \| good
2026-09-27T19:00:00.000Z	49 \| good	8.774 \| good	15.581 \| good	34.107 \| good	1.033 \| good	9.919 \| good	0.046 \| good
2026-09-27T20:00:00.000Z	49 \| good	8.774 \| good	15.581 \| good	32.711 \| good	1.012 \| good	13.709 \| good	0.052 \| good
2026-09-27T21:00:00.000Z	44 \| good	8.342 \| good	15.301 \| good	30.34 \| good	0.932 \| good	21.21 \| good	0.064 \| good
2026-09-27T22:00:00.000Z	44 \| good	7.826 \| good	14.399 \| good	28.221 \| good	0.999 \| good	17.675 \| good	0.054 \| good
2026-09-27T23:00:00.000Z	44 \| good	7.774 \| good	14.399 \| good	25.853 \| good	0.992 \| good	16.938 \| good	0.059 \| good
2026-09-28T00:00:00.000Z	38 \| good	7.258 \| good	13.314 \| good	22.698 \| good	0.87 \| good	15.039 \| good	0.255 \| good
2026-09-28T01:00:00.000Z	38 \| good	7.205 \| good	13.21 \| good	20.24 \| good	1.001 \| good	13.03 \| good	0.18 \| good
2026-09-28T02:00:00.000Z	38 \| good	6.637 \| good	12.307 \| good	18.597 \| good	0.385 \| good	10.651 \| good	0.226 \| good
2026-09-28T03:00:00.000Z	38 \| good	6.637 \| good	12.255 \| good	17.918 \| good	0.469 \| good	9.668 \| good	0.214 \| good
2026-09-28T04:00:00.000Z	38 \| good	6.564 \| good	11.654 \| good	17.281 \| good	0.524 \| good	9.414 \| good	0.218 \| good
2026-09-28T05:00:00.000Z	33 \| good	6.177 \| good	11.602 \| good	16.761 \| good	0.508 \| good	11.016 \| good	0.197 \| good
2026-09-28T06:00:00.000Z	33 \| good	5.661 \| good	11.602 \| good	15.154 \| good	0.449 \| good	15.964 \| good	0.21 \| good
2026-09-28T07:00:00.000Z	33 \| good	5.661 \| good	11.602 \| good	12.935 \| good	0.683 \| good	21.13 \| good	0.279 \| good
2026-09-28T08:00:00.000Z	33 \| good	5.661 \| good	11.602 \| good	11.093 \| good	0.861 \| good	24.241 \| good	0.264 \| good
2026-09-28T09:00:00.000Z	33 \| good	5.637 \| good	11.12 \| good	9.534 \| good	0.963 \| good	23.059 \| good	0.235 \| good
2026-09-28T10:00:00.000Z	33 \| good	5.637 \| good	12.075 \| good	7.015 \| good	1.136 \| good	26.942 \| good	0.221 \| good
2026-09-28T11:00:00.000Z	33 \| good	5.637 \| good	12.075 \| good	5.593 \| good	1.016 \| good	26.831 \| good	0.212 \| good
2026-09-28T12:00:00.000Z	33 \| good	5.616 \| good	11.969 \| good	6.286 \| good	0.899 \| good	17.075 \| good	0.188 \| good
2026-09-28T13:00:00.000Z	33 \| good	5.564 \| good	11.969 \| good	8.366 \| good	0.621 \| good	9.743 \| good	0.165 \| good
2026-09-28T14:00:00.000Z	33 \| good	5.564 \| good	11.582 \| good	11.453 \| good	0.523 \| good	7.193 \| good	0.162 \| good
2026-09-28T15:00:00.000Z	33 \| good	5.564 \| good	11.066 \| good	15.59 \| good	0.522 \| good	7.171 \| good	0.156 \| good
2026-09-28T16:00:00.000Z	27 \| good	5.177 \| good	11.066 \| good	20.256 \| good	0.624 \| good	9.784 \| good	0.153 \| good
2026-09-28T17:00:00.000Z	27 \| good	5.177 \| good	11.014 \| good	23.906 \| good	0.552 \| good	8.233 \| good	0.169 \| good
2026-09-28T18:00:00.000Z	27 \| good	5.177 \| good	11.066 \| good	28.002 \| good	0.532 \| good	8.727 \| good	0.217 \| good
2026-09-28T19:00:00.000Z	29 \| good	5.177 \| good	11.066 \| good	31.125 \| good	0.499 \| good	11.637 \| good	0.253 \| good
2026-09-28T20:00:00.000Z	30 \| good	4.661 \| good	11.066 \| good	32.024 \| good	0.553 \| good	16.084 \| good	0.324 \| good
2026-09-28T21:00:00.000Z	30 \| good	4.661 \| good	11.582 \| good	31.991 \| good	0.519 \| good	10.498 \| good	0.312 \| good
2026-09-28T22:00:00.000Z	29 \| good	4.661 \| good	11.582 \| good	31.42 \| good	0.445 \| good	7.614 \| good	0.352 \| good
2026-09-28T22:00:00.000Z	30 \| good	4.661 \| good	11.582 \| good	31.991 \| good	0.519 \| good	10.498 \| good	0.312 \| good
2026-09-28T23:00:00.000Z	25 \| good	3.977 \| good	7.632 \| good	27.413 \| good	0.156 \| good	2.392 \| good	0.142 \| good
2026-09-29T00:00:00.000Z	26 \| good	3.915 \| good	6.411 \| good	27.756 \| good	0.155 \| good	2.261 \| good	0.139 \| good
2026-09-29T01:00:00.000Z	25 \| good	3.853 \| good	6.12 \| good	27.055 \| good	0.156 \| good	2.223 \| good	0.137 \| good
2026-09-29T02:00:00.000Z	24 \| good	3.038 \| good	6.104 \| good	25.775 \| good	0.161 \| good	2.048 \| good	0.136 \| good
2026-09-29T03:00:00.000Z	24 \| good	3.588 \| good	6.482 \| good	26.174 \| good	0.158 \| good	1.903 \| good	0.134 \| good
2026-09-29T04:00:00.000Z	25 \| good	3.608 \| good	7.382 \| good	26.526 \| good	0.177 \| good	1.844 \| good	0.133 \| good
2026-09-29T05:00:00.000Z	25 \| good	4.092 \| good	7.221 \| good	26.724 \| good	0.207 \| good	2.017 \| good	0.131 \| good
2026-09-29T06:00:00.000Z	24 \| good	4.182 \| good	6.797 \| good	26.352 \| good	0.242 \| good	2.507 \| good	0.131 \| good
2026-09-29T07:00:00.000Z	24 \| good	4.247 \| good	6.8 \| good	26.278 \| good	0.313 \| good	3.208 \| good	0.13 \| good
2026-09-29T08:00:00.000Z	25 \| good	4.183 \| good	6.871 \| good	26.904 \| good	0.352 \| good	3.44 \| good	0.129 \| good
2026-09-29T09:00:00.000Z	25 \| good	4.261 \| good	6.967 \| good	26.947 \| good	0.352 \| good	3.41 \| good	0.128 \| good
2026-09-29T10:00:00.000Z	27 \| good	4.591 \| good	7.278 \| good	27.183 \| good	0.315 \| good	2.955 \| good	0.129 \| good
2026-09-29T11:00:00.000Z	25 \| good	4.086 \| good	7.168 \| good	27.313 \| good	0.34 \| good	2.919 \| good	0.129 \| good
2026-09-29T12:00:00.000Z	27 \| good	4.423 \| good	7.603 \| good	29.048 \| good	0.305 \| good	2.893 \| good	0.13 \| good
2026-09-29T13:00:00.000Z	29 \| good	4.962 \| good	7.864 \| good	31.124 \| good	0.215 \| good	2.88 \| good	0.133 \| good
2026-09-29T14:00:00.000Z	33 \| good	6.039 \| good	9.973 \| good	35.112 \| good	0.222 \| good	2.894 \| good	0.136 \| good
2026-09-29T15:00:00.000Z	38 \| good	6.668 \| good	10.865 \| good	39.179 \| good	0.219 \| good	2.543 \| good	0.14 \| good
2026-09-29T16:00:00.000Z	44 \| good	8.258 \| good	11.64 \| good	40.814 \| good	0.274 \| good	2.758 \| good	0.146 \| good
2026-09-29T17:00:00.000Z	49 \| good	8.745 \| good	12.215 \| good	39.768 \| good	0.304 \| good	3.502 \| good	0.15 \| good
2026-09-29T18:00:00.000Z	44 \| good	8.267 \| good	13.372 \| good	36.5 \| good	0.356 \| good	4.366 \| good	0.154 \| good
2026-09-29T19:00:00.000Z	52 \| moderate	9.549 \| good	13.81 \| good	34.757 \| good	0.389 \| good	4.95 \| good	0.155 \| good
2026-09-29T20:00:00.000Z	62 \| moderate	15.193 \| fine	17.148 \| good	32.924 \| good	0.388 \| good	5.443 \| good	0.157 \| good
2026-09-29T21:00:00.000Z	66 \| moderate	16.518 \| fine	18.696 \| good	31.322 \| good	0.412 \| good	5.373 \| good	0.162 \| good
2026-09-29T22:00:00.000Z	66 \| moderate	17.008 \| fine	21.507 \| good	30.827 \| good	0.405 \| good	4.976 \| good	0.17 \| good
2026-09-29T23:00:00.000Z	64 \| moderate	16.24 \| fine	22.727 \| good	33.591 \| good	0.376 \| good	4.747 \| good	0.166 \| good
2026-09-30T00:00:00.000Z	58 \| moderate	13.447 \| fine	19.576 \| good	32.706 \| good	0.319 \| good	4.386 \| good	0.154 \| good
2026-09-30T01:00:00.000Z	52 \| moderate	9.8 \| good	14.765 \| good	30.295 \| good	0.268 \| good	3.689 \| good	0.143 \| good
2026-09-30T02:00:00.000Z	44 \| good	7.513 \| good	10.534 \| good	31.065 \| good	0.243 \| good	3.165 \| good	0.141 \| good
2026-09-30T03:00:00.000Z	33 \| good	5.974 \| good	10.011 \| good	31.843 \| good	0.238 \| good	2.748 \| good	0.134 \| good
2026-09-30T04:00:00.000Z	30 \| good	5.131 \| good	9.219 \| good	31.594 \| good	0.215 \| good	2.547 \| good	0.129 \| good
2026-09-30T05:00:00.000Z	31 \| good	5.119 \| good	8.78 \| good	32.502 \| good	0.19 \| good	2.297 \| good	0.126 \| good
2026-09-30T06:00:00.000Z	33 \| good	5.582 \| good	9.278 \| good	33.58 \| good	0.152 \| good	2.216 \| good	0.124 \| good
2026-09-30T07:00:00.000Z	33 \| good	5.988 \| good	8.27 \| good	32.637 \| good	0.16 \| good	2.626 \| good	0.125 \| good
2026-09-30T08:00:00.000Z	33 \| good	6.116 \| good	9.22 \| good	31.735 \| good	0.155 \| good	3.063 \| good	0.124 \| good
2026-09-30T09:00:00.000Z	33 \| good	6.001 \| good	7.898 \| good	31.22 \| good	0.137 \| good	3.311 \| good	0.122 \| good
2026-09-30T10:00:00.000Z	29 \| good	5.404 \| good	6.991 \| good	31.157 \| good	0.14 \| good	3.201 \| good	0.117 \| good
2026-09-30T11:00:00.000Z	30 \| good	4.913 \| good	6.885 \| good	32.071 \| good	0.141 \| good	2.537 \| good	0.113 \| good
2026-09-30T12:00:00.000Z	31 \| good	4.726 \| good	7.303 \| good	33.184 \| good	0.082 \| good	1.745 \| good	0.112 \| good
2026-09-30T13:00:00.000Z	34 \| good	4.073 \| good	7.572 \| good	36.923 \| good	0.092 \| good	1.251 \| good	0.112 \| good
2026-09-30T14:00:00.000Z	35 \| good	3.726 \| good	7.199 \| good	37.783 \| good	0.086 \| good	1.226 \| good	0.115 \| good
2026-09-30T15:00:00.000Z	34 \| good	3.127 \| good	7.134 \| good	37.169 \| good	0.093 \| good	1.56 \| good	0.118 \| good
2026-09-30T16:00:00.000Z	32 \| good	3.236 \| good	8.881 \| good	35.173 \| good	0.108 \| good	2.089 \| good	0.122 \| good
2026-09-30T17:00:00.000Z	31 \| good	3.721 \| good	10.597 \| good	32.949 \| good	0.14 \| good	2.909 \| good	0.126 \| good
2026-09-30T18:00:00.000Z	29 \| good	4.213 \| good	10.708 \| good	30.556 \| good	0.182 \| good	4.277 \| good	0.132 \| good
2026-09-30T19:00:00.000Z	27 \| good	4.957 \| good	10.985 \| good	28.092 \| good	0.214 \| good	4.794 \| good	0.13 \| good
2026-09-30T20:00:00.000Z	27 \| good	5.278 \| good	11.542 \| good	26.49 \| good	0.244 \| good	5.008 \| good	0.132 \| good
2026-09-30T21:00:00.000Z	33 \| good	5.902 \| good	12.37 \| good	25.05 \| good	0.258 \| good	5.098 \| good	0.135 \| good
2026-09-30T22:00:00.000Z	38 \| good	6.511 \| good	13.23 \| good	24.498 \| good	0.264 \| good	5.091 \| good	0.135 \| good

Syston

Empower business decisions with accurate air quality data

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

0.31ppm

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

Air quality levels in UK

Check live rankings of places in the UK affected by air pollution.

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Frequently asked questions

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

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

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

Syston, Leicestershire experienced its worst air quality at 11:00:00, 2026-09-27.

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

The best air quality in Syston, Leicestershire was observed at 06:00:00 on 2026-09-28.

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

The air quality in Syston, Leicestershire right now is Good, with an AQI of 30.

What pollutant is most frequently found in Syston, Leicestershire?

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

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

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

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

Syston, Leicestershire currently has a PM_2.5 concentration of 4.661 μg/m³.

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

Syston, Leicestershire currently has a PM₁₀ concentration of 11.582 μg/m³.

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

The current carbon monoxide (CO) level in Syston, Leicestershire is 0.312 ppm.

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

The current sulfur dioxide (SO₂) concentration in Syston, Leicestershire is 0.519 ppb.

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

Syston, Leicestershire currently has an ozone (O₃) concentration of 31.991 ppm.

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

The current level of nitrogen dioxide (NO₂) in Syston, Leicestershire is 10.498 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-09-26T23:00:00.000Z	38 \| good	7.175 \| good	13.347 \| good	27.732 \| good	0.767 \| good	27.915 \| good	0.297 \| good
2026-09-27T00:00:00.000Z	44 \| good	7.743 \| good	13.863 \| good	24.618 \| good	0.903 \| good	25.687 \| good	0.226 \| good
2026-09-27T01:00:00.000Z	44 \| good	7.774 \| good	14.733 \| good	20.175 \| good	0.903 \| good	29.592 \| good	0.229 \| good
2026-09-27T02:00:00.000Z	44 \| good	7.774 \| good	14.785 \| good	16.455 \| good	0.741 \| good	24.893 \| good	0.212 \| good
2026-09-27T03:00:00.000Z	44 \| good	7.774 \| good	14.399 \| good	14.775 \| good	0.885 \| good	16.754 \| good	0.217 \| good
2026-09-27T04:00:00.000Z	38 \| good	7.363 \| good	14.303 \| good	14.951 \| good	0.861 \| good	13.943 \| good	0.205 \| good
2026-09-27T05:00:00.000Z	38 \| good	7.363 \| good	14.303 \| good	13.804 \| good	0.989 \| good	13.37 \| good	0.037 \| good
2026-09-27T06:00:00.000Z	38 \| good	7.363 \| good	14.303 \| good	13.178 \| good	0.789 \| good	10.689 \| good	0.034 \| good
2026-09-27T07:00:00.000Z	38 \| good	7.363 \| good	14.303 \| good	13.825 \| good	0.893 \| good	8.471 \| good	0.035 \| good
2026-09-27T08:00:00.000Z	38 \| good	7.387 \| good	14.399 \| good	14.287 \| good	0.901 \| good	10.483 \| good	0.037 \| good
2026-09-27T09:00:00.000Z	38 \| good	7.387 \| good	14.399 \| good	16.796 \| good	1.293 \| good	12.227 \| good	0.036 \| good
2026-09-27T10:00:00.000Z	44 \| good	7.774 \| good	14.399 \| good	19.502 \| good	1.416 \| good	9.604 \| good	0.043 \| good
2026-09-27T11:00:00.000Z	44 \| good	7.774 \| good	14.399 \| good	21.226 \| good	1.361 \| good	7.941 \| good	0.035 \| good
2026-09-27T12:00:00.000Z	44 \| good	7.774 \| good	14.399 \| good	22.936 \| good	1.106 \| good	8.003 \| good	0.033 \| good
2026-09-27T13:00:00.000Z	44 \| good	8.363 \| good	14.87 \| good	25.326 \| good	1.276 \| good	7.2 \| good	0.031 \| good
2026-09-27T14:00:00.000Z	44 \| good	8.363 \| good	15.386 \| good	27.324 \| good	1.184 \| good	6.867 \| good	0.032 \| good
2026-09-27T15:00:00.000Z	44 \| good	8.387 \| good	15.529 \| good	29.632 \| good	1.189 \| good	7.722 \| good	0.034 \| good
2026-09-27T16:00:00.000Z	44 \| good	8.387 \| good	15.581 \| good	31.867 \| good	1.101 \| good	7.295 \| good	0.033 \| good
2026-09-27T17:00:00.000Z	49 \| good	8.774 \| good	15.581 \| good	33.96 \| good	1.026 \| good	7.046 \| good	0.033 \| good
2026-09-27T18:00:00.000Z	49 \| good	8.774 \| good	15.581 \| good	34.387 \| good	1.03 \| good	8.445 \| good	0.039 \| good
2026-09-27T19:00:00.000Z	49 \| good	8.774 \| good	15.581 \| good	34.107 \| good	1.033 \| good	9.919 \| good	0.046 \| good
2026-09-27T20:00:00.000Z	49 \| good	8.774 \| good	15.581 \| good	32.711 \| good	1.012 \| good	13.709 \| good	0.052 \| good
2026-09-27T21:00:00.000Z	44 \| good	8.342 \| good	15.301 \| good	30.34 \| good	0.932 \| good	21.21 \| good	0.064 \| good
2026-09-27T22:00:00.000Z	44 \| good	7.826 \| good	14.399 \| good	28.221 \| good	0.999 \| good	17.675 \| good	0.054 \| good
2026-09-27T23:00:00.000Z	44 \| good	7.774 \| good	14.399 \| good	25.853 \| good	0.992 \| good	16.938 \| good	0.059 \| good
2026-09-28T00:00:00.000Z	38 \| good	7.258 \| good	13.314 \| good	22.698 \| good	0.87 \| good	15.039 \| good	0.255 \| good
2026-09-28T01:00:00.000Z	38 \| good	7.205 \| good	13.21 \| good	20.24 \| good	1.001 \| good	13.03 \| good	0.18 \| good
2026-09-28T02:00:00.000Z	38 \| good	6.637 \| good	12.307 \| good	18.597 \| good	0.385 \| good	10.651 \| good	0.226 \| good
2026-09-28T03:00:00.000Z	38 \| good	6.637 \| good	12.255 \| good	17.918 \| good	0.469 \| good	9.668 \| good	0.214 \| good
2026-09-28T04:00:00.000Z	38 \| good	6.564 \| good	11.654 \| good	17.281 \| good	0.524 \| good	9.414 \| good	0.218 \| good
2026-09-28T05:00:00.000Z	33 \| good	6.177 \| good	11.602 \| good	16.761 \| good	0.508 \| good	11.016 \| good	0.197 \| good
2026-09-28T06:00:00.000Z	33 \| good	5.661 \| good	11.602 \| good	15.154 \| good	0.449 \| good	15.964 \| good	0.21 \| good
2026-09-28T07:00:00.000Z	33 \| good	5.661 \| good	11.602 \| good	12.935 \| good	0.683 \| good	21.13 \| good	0.279 \| good
2026-09-28T08:00:00.000Z	33 \| good	5.661 \| good	11.602 \| good	11.093 \| good	0.861 \| good	24.241 \| good	0.264 \| good
2026-09-28T09:00:00.000Z	33 \| good	5.637 \| good	11.12 \| good	9.534 \| good	0.963 \| good	23.059 \| good	0.235 \| good
2026-09-28T10:00:00.000Z	33 \| good	5.637 \| good	12.075 \| good	7.015 \| good	1.136 \| good	26.942 \| good	0.221 \| good
2026-09-28T11:00:00.000Z	33 \| good	5.637 \| good	12.075 \| good	5.593 \| good	1.016 \| good	26.831 \| good	0.212 \| good
2026-09-28T12:00:00.000Z	33 \| good	5.616 \| good	11.969 \| good	6.286 \| good	0.899 \| good	17.075 \| good	0.188 \| good
2026-09-28T13:00:00.000Z	33 \| good	5.564 \| good	11.969 \| good	8.366 \| good	0.621 \| good	9.743 \| good	0.165 \| good
2026-09-28T14:00:00.000Z	33 \| good	5.564 \| good	11.582 \| good	11.453 \| good	0.523 \| good	7.193 \| good	0.162 \| good
2026-09-28T15:00:00.000Z	33 \| good	5.564 \| good	11.066 \| good	15.59 \| good	0.522 \| good	7.171 \| good	0.156 \| good
2026-09-28T16:00:00.000Z	27 \| good	5.177 \| good	11.066 \| good	20.256 \| good	0.624 \| good	9.784 \| good	0.153 \| good
2026-09-28T17:00:00.000Z	27 \| good	5.177 \| good	11.014 \| good	23.906 \| good	0.552 \| good	8.233 \| good	0.169 \| good
2026-09-28T18:00:00.000Z	27 \| good	5.177 \| good	11.066 \| good	28.002 \| good	0.532 \| good	8.727 \| good	0.217 \| good
2026-09-28T19:00:00.000Z	29 \| good	5.177 \| good	11.066 \| good	31.125 \| good	0.499 \| good	11.637 \| good	0.253 \| good
2026-09-28T20:00:00.000Z	30 \| good	4.661 \| good	11.066 \| good	32.024 \| good	0.553 \| good	16.084 \| good	0.324 \| good
2026-09-28T21:00:00.000Z	30 \| good	4.661 \| good	11.582 \| good	31.991 \| good	0.519 \| good	10.498 \| good	0.312 \| good
2026-09-28T22:00:00.000Z	29 \| good	4.661 \| good	11.582 \| good	31.42 \| good	0.445 \| good	7.614 \| good	0.352 \| good
2026-09-28T22:00:00.000Z	30 \| good	4.661 \| good	11.582 \| good	31.991 \| good	0.519 \| good	10.498 \| good	0.312 \| good
2026-09-28T23:00:00.000Z	25 \| good	3.977 \| good	7.632 \| good	27.413 \| good	0.156 \| good	2.392 \| good	0.142 \| good
2026-09-29T00:00:00.000Z	26 \| good	3.915 \| good	6.411 \| good	27.756 \| good	0.155 \| good	2.261 \| good	0.139 \| good
2026-09-29T01:00:00.000Z	25 \| good	3.853 \| good	6.12 \| good	27.055 \| good	0.156 \| good	2.223 \| good	0.137 \| good
2026-09-29T02:00:00.000Z	24 \| good	3.038 \| good	6.104 \| good	25.775 \| good	0.161 \| good	2.048 \| good	0.136 \| good
2026-09-29T03:00:00.000Z	24 \| good	3.588 \| good	6.482 \| good	26.174 \| good	0.158 \| good	1.903 \| good	0.134 \| good
2026-09-29T04:00:00.000Z	25 \| good	3.608 \| good	7.382 \| good	26.526 \| good	0.177 \| good	1.844 \| good	0.133 \| good
2026-09-29T05:00:00.000Z	25 \| good	4.092 \| good	7.221 \| good	26.724 \| good	0.207 \| good	2.017 \| good	0.131 \| good
2026-09-29T06:00:00.000Z	24 \| good	4.182 \| good	6.797 \| good	26.352 \| good	0.242 \| good	2.507 \| good	0.131 \| good
2026-09-29T07:00:00.000Z	24 \| good	4.247 \| good	6.8 \| good	26.278 \| good	0.313 \| good	3.208 \| good	0.13 \| good
2026-09-29T08:00:00.000Z	25 \| good	4.183 \| good	6.871 \| good	26.904 \| good	0.352 \| good	3.44 \| good	0.129 \| good
2026-09-29T09:00:00.000Z	25 \| good	4.261 \| good	6.967 \| good	26.947 \| good	0.352 \| good	3.41 \| good	0.128 \| good
2026-09-29T10:00:00.000Z	27 \| good	4.591 \| good	7.278 \| good	27.183 \| good	0.315 \| good	2.955 \| good	0.129 \| good
2026-09-29T11:00:00.000Z	25 \| good	4.086 \| good	7.168 \| good	27.313 \| good	0.34 \| good	2.919 \| good	0.129 \| good
2026-09-29T12:00:00.000Z	27 \| good	4.423 \| good	7.603 \| good	29.048 \| good	0.305 \| good	2.893 \| good	0.13 \| good
2026-09-29T13:00:00.000Z	29 \| good	4.962 \| good	7.864 \| good	31.124 \| good	0.215 \| good	2.88 \| good	0.133 \| good
2026-09-29T14:00:00.000Z	33 \| good	6.039 \| good	9.973 \| good	35.112 \| good	0.222 \| good	2.894 \| good	0.136 \| good
2026-09-29T15:00:00.000Z	38 \| good	6.668 \| good	10.865 \| good	39.179 \| good	0.219 \| good	2.543 \| good	0.14 \| good
2026-09-29T16:00:00.000Z	44 \| good	8.258 \| good	11.64 \| good	40.814 \| good	0.274 \| good	2.758 \| good	0.146 \| good
2026-09-29T17:00:00.000Z	49 \| good	8.745 \| good	12.215 \| good	39.768 \| good	0.304 \| good	3.502 \| good	0.15 \| good
2026-09-29T18:00:00.000Z	44 \| good	8.267 \| good	13.372 \| good	36.5 \| good	0.356 \| good	4.366 \| good	0.154 \| good
2026-09-29T19:00:00.000Z	52 \| moderate	9.549 \| good	13.81 \| good	34.757 \| good	0.389 \| good	4.95 \| good	0.155 \| good
2026-09-29T20:00:00.000Z	62 \| moderate	15.193 \| fine	17.148 \| good	32.924 \| good	0.388 \| good	5.443 \| good	0.157 \| good
2026-09-29T21:00:00.000Z	66 \| moderate	16.518 \| fine	18.696 \| good	31.322 \| good	0.412 \| good	5.373 \| good	0.162 \| good
2026-09-29T22:00:00.000Z	66 \| moderate	17.008 \| fine	21.507 \| good	30.827 \| good	0.405 \| good	4.976 \| good	0.17 \| good
2026-09-29T23:00:00.000Z	64 \| moderate	16.24 \| fine	22.727 \| good	33.591 \| good	0.376 \| good	4.747 \| good	0.166 \| good
2026-09-30T00:00:00.000Z	58 \| moderate	13.447 \| fine	19.576 \| good	32.706 \| good	0.319 \| good	4.386 \| good	0.154 \| good
2026-09-30T01:00:00.000Z	52 \| moderate	9.8 \| good	14.765 \| good	30.295 \| good	0.268 \| good	3.689 \| good	0.143 \| good
2026-09-30T02:00:00.000Z	44 \| good	7.513 \| good	10.534 \| good	31.065 \| good	0.243 \| good	3.165 \| good	0.141 \| good
2026-09-30T03:00:00.000Z	33 \| good	5.974 \| good	10.011 \| good	31.843 \| good	0.238 \| good	2.748 \| good	0.134 \| good
2026-09-30T04:00:00.000Z	30 \| good	5.131 \| good	9.219 \| good	31.594 \| good	0.215 \| good	2.547 \| good	0.129 \| good
2026-09-30T05:00:00.000Z	31 \| good	5.119 \| good	8.78 \| good	32.502 \| good	0.19 \| good	2.297 \| good	0.126 \| good
2026-09-30T06:00:00.000Z	33 \| good	5.582 \| good	9.278 \| good	33.58 \| good	0.152 \| good	2.216 \| good	0.124 \| good
2026-09-30T07:00:00.000Z	33 \| good	5.988 \| good	8.27 \| good	32.637 \| good	0.16 \| good	2.626 \| good	0.125 \| good
2026-09-30T08:00:00.000Z	33 \| good	6.116 \| good	9.22 \| good	31.735 \| good	0.155 \| good	3.063 \| good	0.124 \| good
2026-09-30T09:00:00.000Z	33 \| good	6.001 \| good	7.898 \| good	31.22 \| good	0.137 \| good	3.311 \| good	0.122 \| good
2026-09-30T10:00:00.000Z	29 \| good	5.404 \| good	6.991 \| good	31.157 \| good	0.14 \| good	3.201 \| good	0.117 \| good
2026-09-30T11:00:00.000Z	30 \| good	4.913 \| good	6.885 \| good	32.071 \| good	0.141 \| good	2.537 \| good	0.113 \| good
2026-09-30T12:00:00.000Z	31 \| good	4.726 \| good	7.303 \| good	33.184 \| good	0.082 \| good	1.745 \| good	0.112 \| good
2026-09-30T13:00:00.000Z	34 \| good	4.073 \| good	7.572 \| good	36.923 \| good	0.092 \| good	1.251 \| good	0.112 \| good
2026-09-30T14:00:00.000Z	35 \| good	3.726 \| good	7.199 \| good	37.783 \| good	0.086 \| good	1.226 \| good	0.115 \| good
2026-09-30T15:00:00.000Z	34 \| good	3.127 \| good	7.134 \| good	37.169 \| good	0.093 \| good	1.56 \| good	0.118 \| good
2026-09-30T16:00:00.000Z	32 \| good	3.236 \| good	8.881 \| good	35.173 \| good	0.108 \| good	2.089 \| good	0.122 \| good
2026-09-30T17:00:00.000Z	31 \| good	3.721 \| good	10.597 \| good	32.949 \| good	0.14 \| good	2.909 \| good	0.126 \| good
2026-09-30T18:00:00.000Z	29 \| good	4.213 \| good	10.708 \| good	30.556 \| good	0.182 \| good	4.277 \| good	0.132 \| good
2026-09-30T19:00:00.000Z	27 \| good	4.957 \| good	10.985 \| good	28.092 \| good	0.214 \| good	4.794 \| good	0.13 \| good
2026-09-30T20:00:00.000Z	27 \| good	5.278 \| good	11.542 \| good	26.49 \| good	0.244 \| good	5.008 \| good	0.132 \| good
2026-09-30T21:00:00.000Z	33 \| good	5.902 \| good	12.37 \| good	25.05 \| good	0.258 \| good	5.098 \| good	0.135 \| good
2026-09-30T22:00:00.000Z	38 \| good	6.511 \| good	13.23 \| good	24.498 \| good	0.264 \| good	5.091 \| good	0.135 \| good

Current air quality index in Syston, Leicestershire today

Common air pollutants in Syston, Leicestershire

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Syston, Leicestershire air quality forecast and history

Empower business decisions with accurate air quality data

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

Air quality in nearby cities

Birstall, Leicestershire

Mountsorrel, Leicestershire

Oadby, Leicestershire

Loughborough, Leicestershire

Leicester Forest East, Leicestershire

Wigston, 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 Syston, Leicestershire get updated?

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

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

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

What pollutant is most frequently found in Syston, Leicestershire?

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

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

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

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

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

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

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

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

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

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

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