What are the current PM10 levels at Hinckley, Leicestershire?

The current PM10 levels in Hinckley, Leicestershire are 13.741 μg/m3.

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

The current sulfur dioxide (SO2) levels in Hinckley, Leicestershire are 0.822 ppb.

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

The current ozone (O3) levels at Hinckley, Leicestershire is 24.599 ppm.

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

The current nitrogen dioxide (NO2) levels at Hinckley, Leicestershire is 6.076 ppb.

Real-time air quality index in Hinckley, Leicestershire today

Name: Live air pollution levels in Hinckley, Leicestershire today
Creator: Ambee

Stay updated with real-time air quality in Hinckley, 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

Hinckley, Leicestershire

Last updated: ... (Local time)

Common air pollutants in Hinckley, Leicestershire

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

4.04 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

7.69 μg/m³

155

255

425

605+

Ozone (O₃)

19.97 ppb

201

201+

Sulfur Dioxide (SO₂)

0.78 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

5.82 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.24 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

Hinckley, Leicestershire

Get Live Pollen Counts

Hinckley, Leicestershire

Scroll To Air Quality Map

Track live Hinckley, Leicestershire air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-07-21T06:00:00.000Z	16 \| good	3.146 \| good	10.851 \| good	13.671 \| good	0.589 \| good	8.743 \| good	0.062 \| good
2025-07-21T07:00:00.000Z	22 \| good	3.606 \| good	9.952 \| good	14.825 \| good	0.766 \| good	9.508 \| good	0.059 \| good
2025-07-21T08:00:00.000Z	16 \| good	3.123 \| good	7.077 \| good	9.335 \| good	0.693 \| good	9.092 \| good	0.052 \| good
2025-07-21T09:00:00.000Z	16 \| good	3.314 \| good	6.908 \| good	8.78 \| good	0.897 \| good	7.166 \| good	0.051 \| good
2025-07-21T10:00:00.000Z	16 \| good	3.265 \| good	7.327 \| good	12.831 \| good	0.885 \| good	8.896 \| good	0.047 \| good
2025-07-21T11:00:00.000Z	16 \| good	3.318 \| good	8.16 \| good	12.139 \| good	0.934 \| good	6.924 \| good	0.046 \| good
2025-07-21T12:00:00.000Z	22 \| good	4.034 \| good	9.288 \| good	17.564 \| good	0.863 \| good	6.594 \| good	0.052 \| good
2025-07-21T13:00:00.000Z	19 \| good	3.292 \| good	8.241 \| good	20.457 \| good	0.991 \| good	7.626 \| good	0.055 \| good
2025-07-21T14:00:00.000Z	21 \| good	3.231 \| good	7.679 \| good	22.65 \| good	0.99 \| good	6.374 \| good	0.054 \| good
2025-07-21T15:00:00.000Z	25 \| good	3.397 \| good	9.056 \| good	27.111 \| good	1.107 \| good	3.92 \| good	0.053 \| good
2025-07-21T16:00:00.000Z	29 \| good	3.311 \| good	8.589 \| good	30.918 \| good	0.98 \| good	6.741 \| good	0.053 \| good
2025-07-21T17:00:00.000Z	29 \| good	3.402 \| good	8.812 \| good	31.118 \| good	0.976 \| good	7.916 \| good	0.056 \| good
2025-07-21T18:00:00.000Z	33 \| good	3.225 \| good	13.075 \| good	35.895 \| good	0.802 \| good	7.899 \| good	0.059 \| good
2025-07-21T19:00:00.000Z	33 \| good	3.292 \| good	11.589 \| good	35.537 \| good	0.919 \| good	7.045 \| good	0.058 \| good
2025-07-21T20:00:00.000Z	30 \| good	3.435 \| good	8.883 \| good	31.67 \| good	0.866 \| good	14.313 \| good	0.081 \| good
2025-07-21T21:00:00.000Z	29 \| good	3.43 \| good	9.211 \| good	30.952 \| good	0.746 \| good	11.744 \| good	0.076 \| good
2025-07-21T22:00:00.000Z	27 \| good	3.395 \| good	9.312 \| good	28.822 \| good	0.686 \| good	12.752 \| good	0.047 \| good
2025-07-21T23:00:00.000Z	28 \| good	3.404 \| good	10.078 \| good	29.828 \| good	0.681 \| good	12.894 \| good	0.045 \| good
2025-07-22T00:00:00.000Z	24 \| good	3.553 \| good	9.457 \| good	26.038 \| good	0.687 \| good	12.952 \| good	0.258 \| good
2025-07-22T01:00:00.000Z	24 \| good	3.886 \| good	9.472 \| good	26.074 \| good	0.748 \| good	11.408 \| good	0.239 \| good
2025-07-22T02:00:00.000Z	22 \| good	3.768 \| good	9.706 \| good	23.177 \| good	0.809 \| good	10 \| good	0.235 \| good
2025-07-22T03:00:00.000Z	22 \| good	3.743 \| good	9.474 \| good	20.9 \| good	0.805 \| good	9.352 \| good	0.234 \| good
2025-07-22T04:00:00.000Z	22 \| good	3.782 \| good	9.211 \| good	19.213 \| good	0.627 \| good	7.596 \| good	0.237 \| good
2025-07-22T05:00:00.000Z	22 \| good	3.517 \| good	9.345 \| good	19.827 \| good	0.627 \| good	6.943 \| good	0.056 \| good
2025-07-22T06:00:00.000Z	22 \| good	3.935 \| good	9.177 \| good	23.984 \| good	0.627 \| good	4.824 \| good	0.049 \| good
2025-07-22T07:00:00.000Z	22 \| good	3.791 \| good	10.267 \| good	23.503 \| good	0.628 \| good	6.765 \| good	0.051 \| good
2025-07-22T08:00:00.000Z	22 \| good	3.935 \| good	14.597 \| good	13.184 \| good	0.688 \| good	7.061 \| good	0.045 \| good
2025-07-22T09:00:00.000Z	22 \| good	4.016 \| good	10.451 \| good	20.04 \| good	0.686 \| good	8.663 \| good	0.042 \| good
2025-07-22T10:00:00.000Z	22 \| good	3.536 \| good	10.543 \| good	17.678 \| good	0.687 \| good	8.578 \| good	0.043 \| good
2025-07-22T11:00:00.000Z	22 \| good	3.75 \| good	8.863 \| good	21.809 \| good	0.685 \| good	5.525 \| good	0.042 \| good
2025-07-22T12:00:00.000Z	19 \| good	3.182 \| good	8.247 \| good	21.189 \| good	0.757 \| good	4.961 \| good	0.052 \| good
2025-07-22T13:00:00.000Z	21 \| good	3.028 \| good	8.925 \| good	22.682 \| good	0.816 \| good	5.559 \| good	0.054 \| good
2025-07-22T14:00:00.000Z	24 \| good	3.633 \| good	8.776 \| good	25.911 \| good	0.687 \| good	7.107 \| good	0.041 \| good
2025-07-22T15:00:00.000Z	22 \| good	3.927 \| good	9.775 \| good	23.168 \| good	0.683 \| good	7.189 \| good	0.042 \| good
2025-07-22T16:00:00.000Z	22 \| good	3.756 \| good	9.995 \| good	23.606 \| good	0.959 \| good	7.933 \| good	0.043 \| good
2025-07-22T17:00:00.000Z	22 \| good	3.393 \| good	12.155 \| good	24.354 \| good	0.815 \| good	10.18 \| good	0.047 \| good
2025-07-22T18:00:00.000Z	24 \| good	3.707 \| good	9.988 \| good	25.532 \| good	0.815 \| good	9.746 \| good	0.046 \| good
2025-07-22T19:00:00.000Z	26 \| good	4.003 \| good	7.763 \| good	28.145 \| good	0.816 \| good	6.192 \| good	0.048 \| good
2025-07-22T20:00:00.000Z	25 \| good	3.232 \| good	7.986 \| good	27.292 \| good	0.744 \| good	5.325 \| good	0.044 \| good
2025-07-22T21:00:00.000Z	24 \| good	3.637 \| good	10.939 \| good	26.401 \| good	0.758 \| good	5.112 \| good	0.05 \| good
2025-07-22T22:00:00.000Z	23 \| good	3.607 \| good	10.575 \| good	25.466 \| good	0.819 \| good	5.406 \| good	0.053 \| good
2025-07-22T23:00:00.000Z	23 \| good	3.887 \| good	13.741 \| good	24.599 \| good	0.822 \| good	6.076 \| good	0.052 \| good
2025-07-23T00:00:00.000Z	22 \| good	3.61 \| good	10.163 \| good	24.294 \| good	0.831 \| good	6.323 \| good	0.256 \| good
2025-07-23T01:00:00.000Z	23 \| good	4.129 \| good	8.329 \| good	25.099 \| good	0.693 \| good	6.974 \| good	0.256 \| good
2025-07-23T02:00:00.000Z	22 \| good	3.852 \| good	7.403 \| good	20.956 \| good	0.696 \| good	5.81 \| good	0.24 \| good
2025-07-23T03:00:00.000Z	22 \| good	3.708 \| good	7.313 \| good	19.296 \| good	0.886 \| good	5.421 \| good	0.24 \| good
2025-07-23T04:00:00.000Z	22 \| good	4.035 \| good	7.691 \| good	19.97 \| good	0.777 \| good	5.816 \| good	0.242 \| good
2025-07-23T05:00:00.000Z	22 \| good	4.035 \| good	7.691 \| good	19.97 \| good	0.777 \| good	5.816 \| good	0.242 \| good
2025-07-23T01:00:00.000Z	27 \| good	5.397 \| good	8.159 \| good	19.556 \| good	0.193 \| good	5.236 \| good	0.117 \| good
2025-07-23T02:00:00.000Z	33 \| good	6.265 \| good	8.679 \| good	19.071 \| good	0.189 \| good	5.045 \| good	0.117 \| good
2025-07-23T03:00:00.000Z	38 \| good	7.264 \| good	9.625 \| good	19.027 \| good	0.19 \| good	4.765 \| good	0.119 \| good
2025-07-23T04:00:00.000Z	44 \| good	7.721 \| good	10.293 \| good	18.846 \| good	0.198 \| good	4.985 \| good	0.121 \| good
2025-07-23T05:00:00.000Z	38 \| good	7.434 \| good	10.284 \| good	19.011 \| good	0.236 \| good	5.672 \| good	0.122 \| good
2025-07-23T06:00:00.000Z	38 \| good	7.098 \| good	9.814 \| good	21.246 \| good	0.328 \| good	5.966 \| good	0.125 \| good
2025-07-23T07:00:00.000Z	33 \| good	6.196 \| good	8.181 \| good	22.107 \| good	0.233 \| good	6.116 \| good	0.125 \| good
2025-07-23T08:00:00.000Z	27 \| good	5.463 \| good	7.499 \| good	24.469 \| good	0.165 \| good	4.642 \| good	0.119 \| good
2025-07-23T09:00:00.000Z	27 \| good	4.886 \| good	6.624 \| good	25.361 \| good	0.115 \| good	2.803 \| good	0.114 \| good
2025-07-23T10:00:00.000Z	27 \| good	3.943 \| good	6.148 \| good	28.511 \| good	0.141 \| good	2.241 \| good	0.111 \| good
2025-07-23T11:00:00.000Z	29 \| good	3.8 \| good	5.519 \| good	30.823 \| good	0.163 \| good	1.887 \| good	0.109 \| good
2025-07-23T12:00:00.000Z	31 \| good	4.016 \| good	5.388 \| good	33.766 \| good	0.142 \| good	1.675 \| good	0.108 \| good
2025-07-23T13:00:00.000Z	34 \| good	4.231 \| good	5.407 \| good	37.091 \| good	0.135 \| good	1.366 \| good	0.107 \| good
2025-07-23T14:00:00.000Z	36 \| good	4.182 \| good	5.544 \| good	38.7 \| good	0.129 \| good	1.131 \| good	0.106 \| good
2025-07-23T15:00:00.000Z	36 \| good	4.178 \| good	5.901 \| good	39.494 \| good	0.121 \| good	1.142 \| good	0.106 \| good
2025-07-23T16:00:00.000Z	36 \| good	4.605 \| good	6.177 \| good	38.923 \| good	0.133 \| good	1.373 \| good	0.105 \| good
2025-07-23T17:00:00.000Z	35 \| good	4.657 \| good	6.23 \| good	38.093 \| good	0.131 \| good	1.579 \| good	0.106 \| good
2025-07-23T18:00:00.000Z	34 \| good	4.794 \| good	5.853 \| good	36.625 \| good	0.142 \| good	1.766 \| good	0.108 \| good
2025-07-23T19:00:00.000Z	31 \| good	4.665 \| good	5.63 \| good	34.405 \| good	0.143 \| good	2.19 \| good	0.106 \| good
2025-07-23T20:00:00.000Z	30 \| good	4.253 \| good	5.609 \| good	32.303 \| good	0.188 \| good	3.042 \| good	0.107 \| good
2025-07-23T21:00:00.000Z	28 \| good	4.481 \| good	6.388 \| good	29.775 \| good	0.225 \| good	4.206 \| good	0.109 \| good
2025-07-23T22:00:00.000Z	27 \| good	4.522 \| good	7.23 \| good	27.048 \| good	0.2 \| good	4.801 \| good	0.112 \| good
2025-07-23T23:00:00.000Z	27 \| good	4.608 \| good	7.819 \| good	25.269 \| good	0.177 \| good	5.097 \| good	0.113 \| good
2025-07-24T00:00:00.000Z	27 \| good	4.777 \| good	7.625 \| good	23.402 \| good	0.152 \| good	5.01 \| good	0.113 \| good
2025-07-24T01:00:00.000Z	27 \| good	5.007 \| good	7.23 \| good	22.111 \| good	0.131 \| good	4.587 \| good	0.112 \| good
2025-07-24T02:00:00.000Z	33 \| good	5.77 \| good	7.493 \| good	20.427 \| good	0.141 \| good	4.443 \| good	0.112 \| good
2025-07-24T03:00:00.000Z	44 \| good	7.619 \| good	8.363 \| good	17.886 \| good	0.129 \| good	4.536 \| good	0.113 \| good
2025-07-24T04:00:00.000Z	38 \| good	7.484 \| good	8.541 \| good	17.887 \| good	0.141 \| good	4.445 \| good	0.114 \| good
2025-07-24T05:00:00.000Z	44 \| good	7.558 \| good	9.081 \| good	20.608 \| good	0.124 \| good	4.739 \| good	0.115 \| good
2025-07-24T06:00:00.000Z	44 \| good	8.01 \| good	9.693 \| good	22.799 \| good	0.173 \| good	5.191 \| good	0.117 \| good
2025-07-24T07:00:00.000Z	33 \| good	6.03 \| good	9.06 \| good	24.885 \| good	0.204 \| good	4.831 \| good	0.121 \| good
2025-07-24T08:00:00.000Z	27 \| good	5.407 \| good	8.502 \| good	26.603 \| good	0.23 \| good	5.149 \| good	0.121 \| good
2025-07-24T09:00:00.000Z	30 \| good	5.224 \| good	8.354 \| good	31.759 \| good	0.239 \| good	4.385 \| good	0.12 \| good
2025-07-24T10:00:00.000Z	34 \| good	5.779 \| good	7.991 \| good	36.681 \| good	0.22 \| good	3.452 \| good	0.12 \| good
2025-07-24T11:00:00.000Z	36 \| good	4.574 \| good	7.522 \| good	39.058 \| good	0.196 \| good	2.957 \| good	0.121 \| good
2025-07-24T12:00:00.000Z	39 \| good	4.179 \| good	5.826 \| good	41.721 \| good	0.189 \| good	2.243 \| good	0.119 \| good
2025-07-24T13:00:00.000Z	42 \| good	3.793 \| good	4.911 \| good	44.691 \| good	0.176 \| good	1.75 \| good	0.12 \| good
2025-07-24T14:00:00.000Z	42 \| good	3.783 \| good	4.84 \| good	44.565 \| good	0.161 \| good	1.677 \| good	0.121 \| good
2025-07-24T15:00:00.000Z	44 \| good	3.831 \| good	5.058 \| good	47.467 \| good	0.149 \| good	1.731 \| good	0.119 \| good
2025-07-24T16:00:00.000Z	45 \| good	3.796 \| good	5.523 \| good	49.312 \| good	0.144 \| good	2.011 \| good	0.116 \| good
2025-07-24T17:00:00.000Z	44 \| good	3.664 \| good	5.414 \| good	47.815 \| good	0.149 \| good	2.741 \| good	0.118 \| good
2025-07-24T18:00:00.000Z	44 \| good	3.905 \| good	5.518 \| good	46.931 \| good	0.176 \| good	2.952 \| good	0.121 \| good
2025-07-24T19:00:00.000Z	39 \| good	4.265 \| good	6.291 \| good	41.639 \| good	0.217 \| good	3.69 \| good	0.125 \| good
2025-07-24T20:00:00.000Z	36 \| good	5.388 \| good	7.245 \| good	39.424 \| good	0.217 \| good	4.297 \| good	0.129 \| good
2025-07-24T21:00:00.000Z	33 \| good	6.36 \| good	10.214 \| good	33.788 \| good	0.259 \| good	5.593 \| good	0.13 \| good
2025-07-24T22:00:00.000Z	44 \| good	7.653 \| good	11.242 \| good	28.637 \| good	0.248 \| good	6.659 \| good	0.127 \| good
2025-07-24T23:00:00.000Z	49 \| good	8.559 \| good	10.789 \| good	26.283 \| good	0.211 \| good	6.884 \| good	0.124 \| good
2025-07-25T00:00:00.000Z	49 \| good	8.643 \| good	11.326 \| good	23.241 \| good	0.204 \| good	6.507 \| good	0.124 \| good

Hinckley

Empower business decisions with accurate air quality data

Hinckley, 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 Hinckley, Leicestershire updated?

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

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

The worst air quality in Hinckley, Leicestershire was recorded at 07:00:00 on 2025-07-22.

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

The best air quality in Hinckley, Leicestershire was recorded at 12:00:00 on 2025-07-22.

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

The real-time air quality index in Hinckley, Leicestershire is 23, currently categorized as Good.

Which pollutant is found most often in Hinckley, Leicestershire?

The most common pollutant in Hinckley, Leicestershire is O3.

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

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

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

The measured PM_2.5 levels in Hinckley, Leicestershire at present are 3.887 μg/m³.

What are the current PM₁₀ levels at Hinckley, Leicestershire?

The current PM₁₀ levels in Hinckley, Leicestershire are 13.741 μg/m³.

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

The current carbon monoxide (CO) level in Hinckley, Leicestershire is 0.052 ppm.

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

The current sulfur dioxide (SO₂) levels in Hinckley, Leicestershire are 0.822 ppb.

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

The current ozone (O₃) levels at Hinckley, Leicestershire is 24.599 ppm.

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

The current nitrogen dioxide (NO₂) levels at Hinckley, Leicestershire is 6.076 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-07-21T06:00:00.000Z	16 \| good	3.146 \| good	10.851 \| good	13.671 \| good	0.589 \| good	8.743 \| good	0.062 \| good
2025-07-21T07:00:00.000Z	22 \| good	3.606 \| good	9.952 \| good	14.825 \| good	0.766 \| good	9.508 \| good	0.059 \| good
2025-07-21T08:00:00.000Z	16 \| good	3.123 \| good	7.077 \| good	9.335 \| good	0.693 \| good	9.092 \| good	0.052 \| good
2025-07-21T09:00:00.000Z	16 \| good	3.314 \| good	6.908 \| good	8.78 \| good	0.897 \| good	7.166 \| good	0.051 \| good
2025-07-21T10:00:00.000Z	16 \| good	3.265 \| good	7.327 \| good	12.831 \| good	0.885 \| good	8.896 \| good	0.047 \| good
2025-07-21T11:00:00.000Z	16 \| good	3.318 \| good	8.16 \| good	12.139 \| good	0.934 \| good	6.924 \| good	0.046 \| good
2025-07-21T12:00:00.000Z	22 \| good	4.034 \| good	9.288 \| good	17.564 \| good	0.863 \| good	6.594 \| good	0.052 \| good
2025-07-21T13:00:00.000Z	19 \| good	3.292 \| good	8.241 \| good	20.457 \| good	0.991 \| good	7.626 \| good	0.055 \| good
2025-07-21T14:00:00.000Z	21 \| good	3.231 \| good	7.679 \| good	22.65 \| good	0.99 \| good	6.374 \| good	0.054 \| good
2025-07-21T15:00:00.000Z	25 \| good	3.397 \| good	9.056 \| good	27.111 \| good	1.107 \| good	3.92 \| good	0.053 \| good
2025-07-21T16:00:00.000Z	29 \| good	3.311 \| good	8.589 \| good	30.918 \| good	0.98 \| good	6.741 \| good	0.053 \| good
2025-07-21T17:00:00.000Z	29 \| good	3.402 \| good	8.812 \| good	31.118 \| good	0.976 \| good	7.916 \| good	0.056 \| good
2025-07-21T18:00:00.000Z	33 \| good	3.225 \| good	13.075 \| good	35.895 \| good	0.802 \| good	7.899 \| good	0.059 \| good
2025-07-21T19:00:00.000Z	33 \| good	3.292 \| good	11.589 \| good	35.537 \| good	0.919 \| good	7.045 \| good	0.058 \| good
2025-07-21T20:00:00.000Z	30 \| good	3.435 \| good	8.883 \| good	31.67 \| good	0.866 \| good	14.313 \| good	0.081 \| good
2025-07-21T21:00:00.000Z	29 \| good	3.43 \| good	9.211 \| good	30.952 \| good	0.746 \| good	11.744 \| good	0.076 \| good
2025-07-21T22:00:00.000Z	27 \| good	3.395 \| good	9.312 \| good	28.822 \| good	0.686 \| good	12.752 \| good	0.047 \| good
2025-07-21T23:00:00.000Z	28 \| good	3.404 \| good	10.078 \| good	29.828 \| good	0.681 \| good	12.894 \| good	0.045 \| good
2025-07-22T00:00:00.000Z	24 \| good	3.553 \| good	9.457 \| good	26.038 \| good	0.687 \| good	12.952 \| good	0.258 \| good
2025-07-22T01:00:00.000Z	24 \| good	3.886 \| good	9.472 \| good	26.074 \| good	0.748 \| good	11.408 \| good	0.239 \| good
2025-07-22T02:00:00.000Z	22 \| good	3.768 \| good	9.706 \| good	23.177 \| good	0.809 \| good	10 \| good	0.235 \| good
2025-07-22T03:00:00.000Z	22 \| good	3.743 \| good	9.474 \| good	20.9 \| good	0.805 \| good	9.352 \| good	0.234 \| good
2025-07-22T04:00:00.000Z	22 \| good	3.782 \| good	9.211 \| good	19.213 \| good	0.627 \| good	7.596 \| good	0.237 \| good
2025-07-22T05:00:00.000Z	22 \| good	3.517 \| good	9.345 \| good	19.827 \| good	0.627 \| good	6.943 \| good	0.056 \| good
2025-07-22T06:00:00.000Z	22 \| good	3.935 \| good	9.177 \| good	23.984 \| good	0.627 \| good	4.824 \| good	0.049 \| good
2025-07-22T07:00:00.000Z	22 \| good	3.791 \| good	10.267 \| good	23.503 \| good	0.628 \| good	6.765 \| good	0.051 \| good
2025-07-22T08:00:00.000Z	22 \| good	3.935 \| good	14.597 \| good	13.184 \| good	0.688 \| good	7.061 \| good	0.045 \| good
2025-07-22T09:00:00.000Z	22 \| good	4.016 \| good	10.451 \| good	20.04 \| good	0.686 \| good	8.663 \| good	0.042 \| good
2025-07-22T10:00:00.000Z	22 \| good	3.536 \| good	10.543 \| good	17.678 \| good	0.687 \| good	8.578 \| good	0.043 \| good
2025-07-22T11:00:00.000Z	22 \| good	3.75 \| good	8.863 \| good	21.809 \| good	0.685 \| good	5.525 \| good	0.042 \| good
2025-07-22T12:00:00.000Z	19 \| good	3.182 \| good	8.247 \| good	21.189 \| good	0.757 \| good	4.961 \| good	0.052 \| good
2025-07-22T13:00:00.000Z	21 \| good	3.028 \| good	8.925 \| good	22.682 \| good	0.816 \| good	5.559 \| good	0.054 \| good
2025-07-22T14:00:00.000Z	24 \| good	3.633 \| good	8.776 \| good	25.911 \| good	0.687 \| good	7.107 \| good	0.041 \| good
2025-07-22T15:00:00.000Z	22 \| good	3.927 \| good	9.775 \| good	23.168 \| good	0.683 \| good	7.189 \| good	0.042 \| good
2025-07-22T16:00:00.000Z	22 \| good	3.756 \| good	9.995 \| good	23.606 \| good	0.959 \| good	7.933 \| good	0.043 \| good
2025-07-22T17:00:00.000Z	22 \| good	3.393 \| good	12.155 \| good	24.354 \| good	0.815 \| good	10.18 \| good	0.047 \| good
2025-07-22T18:00:00.000Z	24 \| good	3.707 \| good	9.988 \| good	25.532 \| good	0.815 \| good	9.746 \| good	0.046 \| good
2025-07-22T19:00:00.000Z	26 \| good	4.003 \| good	7.763 \| good	28.145 \| good	0.816 \| good	6.192 \| good	0.048 \| good
2025-07-22T20:00:00.000Z	25 \| good	3.232 \| good	7.986 \| good	27.292 \| good	0.744 \| good	5.325 \| good	0.044 \| good
2025-07-22T21:00:00.000Z	24 \| good	3.637 \| good	10.939 \| good	26.401 \| good	0.758 \| good	5.112 \| good	0.05 \| good
2025-07-22T22:00:00.000Z	23 \| good	3.607 \| good	10.575 \| good	25.466 \| good	0.819 \| good	5.406 \| good	0.053 \| good
2025-07-22T23:00:00.000Z	23 \| good	3.887 \| good	13.741 \| good	24.599 \| good	0.822 \| good	6.076 \| good	0.052 \| good
2025-07-23T00:00:00.000Z	22 \| good	3.61 \| good	10.163 \| good	24.294 \| good	0.831 \| good	6.323 \| good	0.256 \| good
2025-07-23T01:00:00.000Z	23 \| good	4.129 \| good	8.329 \| good	25.099 \| good	0.693 \| good	6.974 \| good	0.256 \| good
2025-07-23T02:00:00.000Z	22 \| good	3.852 \| good	7.403 \| good	20.956 \| good	0.696 \| good	5.81 \| good	0.24 \| good
2025-07-23T03:00:00.000Z	22 \| good	3.708 \| good	7.313 \| good	19.296 \| good	0.886 \| good	5.421 \| good	0.24 \| good
2025-07-23T04:00:00.000Z	22 \| good	4.035 \| good	7.691 \| good	19.97 \| good	0.777 \| good	5.816 \| good	0.242 \| good
2025-07-23T05:00:00.000Z	22 \| good	4.035 \| good	7.691 \| good	19.97 \| good	0.777 \| good	5.816 \| good	0.242 \| good
2025-07-23T01:00:00.000Z	27 \| good	5.397 \| good	8.159 \| good	19.556 \| good	0.193 \| good	5.236 \| good	0.117 \| good
2025-07-23T02:00:00.000Z	33 \| good	6.265 \| good	8.679 \| good	19.071 \| good	0.189 \| good	5.045 \| good	0.117 \| good
2025-07-23T03:00:00.000Z	38 \| good	7.264 \| good	9.625 \| good	19.027 \| good	0.19 \| good	4.765 \| good	0.119 \| good
2025-07-23T04:00:00.000Z	44 \| good	7.721 \| good	10.293 \| good	18.846 \| good	0.198 \| good	4.985 \| good	0.121 \| good
2025-07-23T05:00:00.000Z	38 \| good	7.434 \| good	10.284 \| good	19.011 \| good	0.236 \| good	5.672 \| good	0.122 \| good
2025-07-23T06:00:00.000Z	38 \| good	7.098 \| good	9.814 \| good	21.246 \| good	0.328 \| good	5.966 \| good	0.125 \| good
2025-07-23T07:00:00.000Z	33 \| good	6.196 \| good	8.181 \| good	22.107 \| good	0.233 \| good	6.116 \| good	0.125 \| good
2025-07-23T08:00:00.000Z	27 \| good	5.463 \| good	7.499 \| good	24.469 \| good	0.165 \| good	4.642 \| good	0.119 \| good
2025-07-23T09:00:00.000Z	27 \| good	4.886 \| good	6.624 \| good	25.361 \| good	0.115 \| good	2.803 \| good	0.114 \| good
2025-07-23T10:00:00.000Z	27 \| good	3.943 \| good	6.148 \| good	28.511 \| good	0.141 \| good	2.241 \| good	0.111 \| good
2025-07-23T11:00:00.000Z	29 \| good	3.8 \| good	5.519 \| good	30.823 \| good	0.163 \| good	1.887 \| good	0.109 \| good
2025-07-23T12:00:00.000Z	31 \| good	4.016 \| good	5.388 \| good	33.766 \| good	0.142 \| good	1.675 \| good	0.108 \| good
2025-07-23T13:00:00.000Z	34 \| good	4.231 \| good	5.407 \| good	37.091 \| good	0.135 \| good	1.366 \| good	0.107 \| good
2025-07-23T14:00:00.000Z	36 \| good	4.182 \| good	5.544 \| good	38.7 \| good	0.129 \| good	1.131 \| good	0.106 \| good
2025-07-23T15:00:00.000Z	36 \| good	4.178 \| good	5.901 \| good	39.494 \| good	0.121 \| good	1.142 \| good	0.106 \| good
2025-07-23T16:00:00.000Z	36 \| good	4.605 \| good	6.177 \| good	38.923 \| good	0.133 \| good	1.373 \| good	0.105 \| good
2025-07-23T17:00:00.000Z	35 \| good	4.657 \| good	6.23 \| good	38.093 \| good	0.131 \| good	1.579 \| good	0.106 \| good
2025-07-23T18:00:00.000Z	34 \| good	4.794 \| good	5.853 \| good	36.625 \| good	0.142 \| good	1.766 \| good	0.108 \| good
2025-07-23T19:00:00.000Z	31 \| good	4.665 \| good	5.63 \| good	34.405 \| good	0.143 \| good	2.19 \| good	0.106 \| good
2025-07-23T20:00:00.000Z	30 \| good	4.253 \| good	5.609 \| good	32.303 \| good	0.188 \| good	3.042 \| good	0.107 \| good
2025-07-23T21:00:00.000Z	28 \| good	4.481 \| good	6.388 \| good	29.775 \| good	0.225 \| good	4.206 \| good	0.109 \| good
2025-07-23T22:00:00.000Z	27 \| good	4.522 \| good	7.23 \| good	27.048 \| good	0.2 \| good	4.801 \| good	0.112 \| good
2025-07-23T23:00:00.000Z	27 \| good	4.608 \| good	7.819 \| good	25.269 \| good	0.177 \| good	5.097 \| good	0.113 \| good
2025-07-24T00:00:00.000Z	27 \| good	4.777 \| good	7.625 \| good	23.402 \| good	0.152 \| good	5.01 \| good	0.113 \| good
2025-07-24T01:00:00.000Z	27 \| good	5.007 \| good	7.23 \| good	22.111 \| good	0.131 \| good	4.587 \| good	0.112 \| good
2025-07-24T02:00:00.000Z	33 \| good	5.77 \| good	7.493 \| good	20.427 \| good	0.141 \| good	4.443 \| good	0.112 \| good
2025-07-24T03:00:00.000Z	44 \| good	7.619 \| good	8.363 \| good	17.886 \| good	0.129 \| good	4.536 \| good	0.113 \| good
2025-07-24T04:00:00.000Z	38 \| good	7.484 \| good	8.541 \| good	17.887 \| good	0.141 \| good	4.445 \| good	0.114 \| good
2025-07-24T05:00:00.000Z	44 \| good	7.558 \| good	9.081 \| good	20.608 \| good	0.124 \| good	4.739 \| good	0.115 \| good
2025-07-24T06:00:00.000Z	44 \| good	8.01 \| good	9.693 \| good	22.799 \| good	0.173 \| good	5.191 \| good	0.117 \| good
2025-07-24T07:00:00.000Z	33 \| good	6.03 \| good	9.06 \| good	24.885 \| good	0.204 \| good	4.831 \| good	0.121 \| good
2025-07-24T08:00:00.000Z	27 \| good	5.407 \| good	8.502 \| good	26.603 \| good	0.23 \| good	5.149 \| good	0.121 \| good
2025-07-24T09:00:00.000Z	30 \| good	5.224 \| good	8.354 \| good	31.759 \| good	0.239 \| good	4.385 \| good	0.12 \| good
2025-07-24T10:00:00.000Z	34 \| good	5.779 \| good	7.991 \| good	36.681 \| good	0.22 \| good	3.452 \| good	0.12 \| good
2025-07-24T11:00:00.000Z	36 \| good	4.574 \| good	7.522 \| good	39.058 \| good	0.196 \| good	2.957 \| good	0.121 \| good
2025-07-24T12:00:00.000Z	39 \| good	4.179 \| good	5.826 \| good	41.721 \| good	0.189 \| good	2.243 \| good	0.119 \| good
2025-07-24T13:00:00.000Z	42 \| good	3.793 \| good	4.911 \| good	44.691 \| good	0.176 \| good	1.75 \| good	0.12 \| good
2025-07-24T14:00:00.000Z	42 \| good	3.783 \| good	4.84 \| good	44.565 \| good	0.161 \| good	1.677 \| good	0.121 \| good
2025-07-24T15:00:00.000Z	44 \| good	3.831 \| good	5.058 \| good	47.467 \| good	0.149 \| good	1.731 \| good	0.119 \| good
2025-07-24T16:00:00.000Z	45 \| good	3.796 \| good	5.523 \| good	49.312 \| good	0.144 \| good	2.011 \| good	0.116 \| good
2025-07-24T17:00:00.000Z	44 \| good	3.664 \| good	5.414 \| good	47.815 \| good	0.149 \| good	2.741 \| good	0.118 \| good
2025-07-24T18:00:00.000Z	44 \| good	3.905 \| good	5.518 \| good	46.931 \| good	0.176 \| good	2.952 \| good	0.121 \| good
2025-07-24T19:00:00.000Z	39 \| good	4.265 \| good	6.291 \| good	41.639 \| good	0.217 \| good	3.69 \| good	0.125 \| good
2025-07-24T20:00:00.000Z	36 \| good	5.388 \| good	7.245 \| good	39.424 \| good	0.217 \| good	4.297 \| good	0.129 \| good
2025-07-24T21:00:00.000Z	33 \| good	6.36 \| good	10.214 \| good	33.788 \| good	0.259 \| good	5.593 \| good	0.13 \| good
2025-07-24T22:00:00.000Z	44 \| good	7.653 \| good	11.242 \| good	28.637 \| good	0.248 \| good	6.659 \| good	0.127 \| good
2025-07-24T23:00:00.000Z	49 \| good	8.559 \| good	10.789 \| good	26.283 \| good	0.211 \| good	6.884 \| good	0.124 \| good
2025-07-25T00:00:00.000Z	49 \| good	8.643 \| good	11.326 \| good	23.241 \| good	0.204 \| good	6.507 \| good	0.124 \| good

Real-time air quality index in Hinckley, Leicestershire today

Common air pollutants in Hinckley, Leicestershire

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Hinckley, Leicestershire air quality forecast and history

Empower business decisions with accurate air quality data

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

Air quality in nearby cities

Earl Shilton, Leicestershire

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Enderby, Leicestershire

Leicester Forest East, Leicestershire

Blaby, 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 Hinckley, Leicestershire updated?

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

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

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

Which pollutant is found most often in Hinckley, Leicestershire?

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

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

What are the current PM10 levels at Hinckley, Leicestershire?

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

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

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

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

What are the current PM₁₀ levels at Hinckley, Leicestershire?

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

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

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