What are the current PM10 levels at Litherland, Merseyside?

The current PM10 levels in Litherland, Merseyside are 15.89 μg/m3.

What are the current sulfur dioxide (SO2) levels at Litherland, Merseyside?

The current sulfur dioxide (SO2) levels in Litherland, Merseyside are 0.692 ppb.

What are the current ozone (O3) levels at Litherland, Merseyside?

The current ozone (O3) levels at Litherland, Merseyside is 29.505 ppm.

What are the current nitrogen dioxide (NO2) levels at Litherland, Merseyside?

The current nitrogen dioxide (NO2) levels at Litherland, Merseyside is 16.494 ppb.

Real-time air quality index in Litherland, Merseyside today

Q: What are the current PM2.5 levels in Litherland, Merseyside?

The measured PM2.5 levels in Litherland, Merseyside at present are 4.684 μg/m3.

Stay updated with real-time air quality in Litherland, Merseyside 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

Litherland, Merseyside

Last updated: ... (Local time)

Common air pollutants in Litherland, Merseyside

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

4.68 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

15.89 μg/m³

155

255

425

605+

Ozone (O₃)

29.50 ppb

201

201+

Sulfur Dioxide (SO₂)

0.69 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

16.49 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.31 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Litherland, Merseyside

Get Live Pollen Counts

Litherland, Merseyside

Scroll To Air Quality Map

Track live Litherland, Merseyside air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-09-26T23:00:00.000Z	27 \| good	5.131 \| good	13.566 \| good	21.029 \| good	0.698 \| good	15.024 \| good	0.297 \| good
2026-09-27T00:00:00.000Z	33 \| good	6.143 \| good	14.151 \| good	17.794 \| good	0.542 \| good	16.667 \| good	0.227 \| good
2026-09-27T01:00:00.000Z	27 \| good	5.025 \| good	14.725 \| good	16.58 \| good	0.382 \| good	15.075 \| good	0.229 \| good
2026-09-27T02:00:00.000Z	33 \| good	5.813 \| good	15.775 \| good	14.668 \| good	0.918 \| good	11.613 \| good	0.212 \| good
2026-09-27T03:00:00.000Z	33 \| good	5.55 \| good	16.76 \| good	14.535 \| good	0.596 \| good	7.291 \| good	0.217 \| good
2026-09-27T04:00:00.000Z	33 \| good	6.002 \| good	16.816 \| good	13.642 \| good	0.567 \| good	6.664 \| good	0.205 \| good
2026-09-27T05:00:00.000Z	33 \| good	6.178 \| good	16.531 \| good	11.715 \| good	0.564 \| good	5.407 \| good	0.064 \| good
2026-09-27T06:00:00.000Z	38 \| good	6.586 \| good	15.865 \| good	16.302 \| good	0.382 \| good	7.265 \| good	0.06 \| good
2026-09-27T07:00:00.000Z	38 \| good	6.578 \| good	15.968 \| good	16.202 \| good	0.565 \| good	5.555 \| good	0.062 \| good
2026-09-27T08:00:00.000Z	38 \| good	6.584 \| good	15.187 \| good	17.206 \| good	0.565 \| good	4.729 \| good	0.064 \| good
2026-09-27T09:00:00.000Z	33 \| good	6.305 \| good	16.577 \| good	17.812 \| good	0.463 \| good	4.299 \| good	0.062 \| good
2026-09-27T10:00:00.000Z	33 \| good	5.923 \| good	16.516 \| good	18.985 \| good	0.492 \| good	4.532 \| good	0.075 \| good
2026-09-27T11:00:00.000Z	38 \| good	6.561 \| good	14.873 \| good	20.601 \| good	0.671 \| good	4.717 \| good	0.061 \| good
2026-09-27T12:00:00.000Z	38 \| good	6.636 \| good	15.244 \| good	22.224 \| good	1.356 \| good	4.467 \| good	0.058 \| good
2026-09-27T13:00:00.000Z	33 \| good	6.444 \| good	14.455 \| good	24.185 \| good	1.188 \| good	3.099 \| good	0.055 \| good
2026-09-27T14:00:00.000Z	38 \| good	6.789 \| good	17.499 \| good	27.191 \| good	1.252 \| good	3.096 \| good	0.055 \| good
2026-09-27T15:00:00.000Z	33 \| good	5.505 \| good	18.014 \| good	26.01 \| good	1.252 \| good	2.748 \| good	0.059 \| good
2026-09-27T16:00:00.000Z	33 \| good	6.334 \| good	12.424 \| good	28.042 \| good	0.884 \| good	3.367 \| good	0.057 \| good
2026-09-27T17:00:00.000Z	33 \| good	6.088 \| good	14.181 \| good	31.704 \| good	0.671 \| good	2.266 \| good	0.058 \| good
2026-09-27T18:00:00.000Z	33 \| good	6.066 \| good	12.892 \| good	32.381 \| good	0.59 \| good	2.379 \| good	0.069 \| good
2026-09-27T19:00:00.000Z	33 \| good	6.354 \| good	12.234 \| good	33.046 \| good	0.586 \| good	2.511 \| good	0.08 \| good
2026-09-27T20:00:00.000Z	33 \| good	5.6 \| good	13.036 \| good	33.969 \| good	0.58 \| good	2.487 \| good	0.091 \| good
2026-09-27T21:00:00.000Z	32 \| good	5.256 \| good	11.665 \| good	34.742 \| good	0.58 \| good	2.962 \| good	0.112 \| good
2026-09-27T22:00:00.000Z	33 \| good	6.21 \| good	12.173 \| good	33.338 \| good	0.696 \| good	4.198 \| good	0.094 \| good
2026-09-27T23:00:00.000Z	33 \| good	5.764 \| good	12.033 \| good	32.52 \| good	0.541 \| good	3.781 \| good	0.102 \| good
2026-09-28T00:00:00.000Z	33 \| good	5.937 \| good	11.926 \| good	32.422 \| good	0.541 \| good	4.985 \| good	0.255 \| good
2026-09-28T01:00:00.000Z	33 \| good	5.819 \| good	12.011 \| good	31.647 \| good	0.57 \| good	4.603 \| good	0.18 \| good
2026-09-28T02:00:00.000Z	27 \| good	5.121 \| good	11.626 \| good	29.347 \| good	0.543 \| good	3.487 \| good	0.226 \| good
2026-09-28T03:00:00.000Z	27 \| good	5.162 \| good	11.542 \| good	28.133 \| good	0.738 \| good	4.075 \| good	0.214 \| good
2026-09-28T04:00:00.000Z	27 \| good	4.96 \| good	10.655 \| good	26.966 \| good	0.726 \| good	4.109 \| good	0.218 \| good
2026-09-28T05:00:00.000Z	27 \| good	4.939 \| good	10.088 \| good	26.859 \| good	0.525 \| good	5.908 \| good	0.197 \| good
2026-09-28T06:00:00.000Z	27 \| good	4.822 \| good	9.837 \| good	19.924 \| good	0.588 \| good	7.435 \| good	0.21 \| good
2026-09-28T07:00:00.000Z	22 \| good	4.417 \| good	11.686 \| good	17.136 \| good	1.938 \| good	14.995 \| good	0.279 \| good
2026-09-28T08:00:00.000Z	22 \| good	4.455 \| good	12.262 \| good	11.273 \| good	1.065 \| good	13.087 \| good	0.264 \| good
2026-09-28T09:00:00.000Z	27 \| good	4.854 \| good	11.384 \| good	9.034 \| good	0.71 \| good	12.61 \| good	0.235 \| good
2026-09-28T10:00:00.000Z	27 \| good	5.219 \| good	11.069 \| good	6.195 \| good	0.597 \| good	11.032 \| good	0.221 \| good
2026-09-28T11:00:00.000Z	27 \| good	4.848 \| good	12.989 \| good	9.278 \| good	0.722 \| good	12.757 \| good	0.212 \| good
2026-09-28T12:00:00.000Z	22 \| good	4.493 \| good	10.52 \| good	9.433 \| good	1.673 \| good	11.179 \| good	0.188 \| good
2026-09-28T13:00:00.000Z	22 \| good	4.343 \| good	10.762 \| good	13.199 \| good	1.339 \| good	8.397 \| good	0.165 \| good
2026-09-28T14:00:00.000Z	22 \| good	4.312 \| good	11.496 \| good	15.045 \| good	1.439 \| good	7.625 \| good	0.162 \| good
2026-09-28T15:00:00.000Z	27 \| good	4.832 \| good	12.156 \| good	15.885 \| good	1.538 \| good	3.829 \| good	0.156 \| good
2026-09-28T16:00:00.000Z	27 \| good	4.801 \| good	11.487 \| good	19.635 \| good	0.728 \| good	6.584 \| good	0.153 \| good
2026-09-28T17:00:00.000Z	27 \| good	4.685 \| good	10.764 \| good	20.997 \| good	0.45 \| good	6.722 \| good	0.169 \| good
2026-09-28T18:00:00.000Z	27 \| good	4.863 \| good	10.563 \| good	26.476 \| good	0.494 \| good	13.033 \| good	0.217 \| good
2026-09-28T19:00:00.000Z	27 \| good	5.196 \| good	13.24 \| good	28.955 \| good	0.51 \| good	17.012 \| good	0.253 \| good
2026-09-28T20:00:00.000Z	27 \| good	4.963 \| good	13.787 \| good	29.401 \| good	0.842 \| good	19.027 \| good	0.324 \| good
2026-09-28T21:00:00.000Z	27 \| good	5.164 \| good	14.397 \| good	25.978 \| good	0.672 \| good	20.827 \| good	0.312 \| good
2026-09-28T22:00:00.000Z	33 \| good	6.164 \| good	13.121 \| good	22.894 \| good	1.034 \| good	17.406 \| good	0.352 \| good
2026-09-28T22:00:00.000Z	28 \| good	4.684 \| good	15.89 \| good	29.505 \| good	0.692 \| good	16.494 \| good	0.312 \| good
2026-09-28T23:00:00.000Z	52 \| moderate	9.803 \| good	15.767 \| good	16.861 \| good	0.735 \| good	14.613 \| good	0.187 \| good
2026-09-29T00:00:00.000Z	49 \| good	9.376 \| good	15.348 \| good	18.707 \| good	0.696 \| good	11.704 \| good	0.18 \| good
2026-09-29T01:00:00.000Z	44 \| good	7.895 \| good	12.974 \| good	20.75 \| good	0.558 \| good	9.06 \| good	0.167 \| good
2026-09-29T02:00:00.000Z	38 \| good	6.642 \| good	10.718 \| good	24.494 \| good	0.492 \| good	6.513 \| good	0.158 \| good
2026-09-29T03:00:00.000Z	33 \| good	5.775 \| good	8.647 \| good	26.675 \| good	0.384 \| good	5.032 \| good	0.148 \| good
2026-09-29T04:00:00.000Z	27 \| good	5.069 \| good	7.341 \| good	26.12 \| good	0.308 \| good	4.229 \| good	0.143 \| good
2026-09-29T05:00:00.000Z	24 \| good	4.463 \| good	6.424 \| good	26.216 \| good	0.293 \| good	4.03 \| good	0.141 \| good
2026-09-29T06:00:00.000Z	27 \| good	4.591 \| good	6.978 \| good	28.732 \| good	0.283 \| good	4.416 \| good	0.14 \| good
2026-09-29T07:00:00.000Z	27 \| good	4.574 \| good	7.168 \| good	28.948 \| good	0.311 \| good	5.031 \| good	0.142 \| good
2026-09-29T08:00:00.000Z	27 \| good	4.394 \| good	7.032 \| good	28.709 \| good	0.309 \| good	5.425 \| good	0.142 \| good
2026-09-29T09:00:00.000Z	27 \| good	3.779 \| good	6.55 \| good	29.078 \| good	0.257 \| good	5.147 \| good	0.138 \| good
2026-09-29T10:00:00.000Z	28 \| good	3.432 \| good	6.057 \| good	29.828 \| good	0.242 \| good	4.435 \| good	0.136 \| good
2026-09-29T11:00:00.000Z	29 \| good	3.464 \| good	5.799 \| good	31.281 \| good	0.213 \| good	3.917 \| good	0.133 \| good
2026-09-29T12:00:00.000Z	31 \| good	3.734 \| good	5.877 \| good	32.508 \| good	0.178 \| good	3.342 \| good	0.133 \| good
2026-09-29T13:00:00.000Z	31 \| good	3.883 \| good	5.835 \| good	33.965 \| good	0.187 \| good	3.185 \| good	0.134 \| good
2026-09-29T14:00:00.000Z	32 \| good	4.494 \| good	6.751 \| good	35.466 \| good	0.186 \| good	3.385 \| good	0.136 \| good
2026-09-29T15:00:00.000Z	32 \| good	5.387 \| good	8.042 \| good	35.174 \| good	0.203 \| good	3.709 \| good	0.139 \| good
2026-09-29T16:00:00.000Z	33 \| good	5.972 \| good	9.312 \| good	35.321 \| good	0.254 \| good	4.031 \| good	0.144 \| good
2026-09-29T17:00:00.000Z	38 \| good	7.06 \| good	10.883 \| good	36.839 \| good	0.282 \| good	4.661 \| good	0.147 \| good
2026-09-29T18:00:00.000Z	44 \| good	8.006 \| good	11.717 \| good	37.087 \| good	0.317 \| good	5.145 \| good	0.151 \| good
2026-09-29T19:00:00.000Z	44 \| good	7.901 \| good	12.078 \| good	38.018 \| good	0.354 \| good	5.35 \| good	0.153 \| good
2026-09-29T20:00:00.000Z	44 \| good	8.166 \| good	12.175 \| good	37.376 \| good	0.378 \| good	5.36 \| good	0.152 \| good
2026-09-29T21:00:00.000Z	44 \| good	7.964 \| good	12.085 \| good	36.782 \| good	0.395 \| good	5.287 \| good	0.148 \| good
2026-09-29T22:00:00.000Z	38 \| good	7.499 \| good	11.849 \| good	36.405 \| good	0.337 \| good	4.889 \| good	0.147 \| good
2026-09-29T23:00:00.000Z	38 \| good	7.412 \| good	11.602 \| good	35.654 \| good	0.308 \| good	4.561 \| good	0.143 \| good
2026-09-30T00:00:00.000Z	38 \| good	7.333 \| good	10.722 \| good	35.222 \| good	0.316 \| good	4.075 \| good	0.14 \| good
2026-09-30T01:00:00.000Z	38 \| good	6.794 \| good	9.584 \| good	36.13 \| good	0.26 \| good	3.443 \| good	0.134 \| good
2026-09-30T02:00:00.000Z	38 \| good	6.545 \| good	8.436 \| good	36.638 \| good	0.256 \| good	2.789 \| good	0.129 \| good
2026-09-30T03:00:00.000Z	33 \| good	6.395 \| good	8.587 \| good	35.673 \| good	0.236 \| good	2.593 \| good	0.127 \| good
2026-09-30T04:00:00.000Z	38 \| good	6.541 \| good	9.716 \| good	34.298 \| good	0.225 \| good	2.717 \| good	0.127 \| good
2026-09-30T05:00:00.000Z	33 \| good	6.458 \| good	8.876 \| good	33.139 \| good	0.21 \| good	2.83 \| good	0.124 \| good
2026-09-30T06:00:00.000Z	33 \| good	5.845 \| good	7.958 \| good	31.362 \| good	0.223 \| good	3.387 \| good	0.124 \| good
2026-09-30T07:00:00.000Z	33 \| good	5.72 \| good	6.594 \| good	29.508 \| good	0.24 \| good	4.662 \| good	0.126 \| good
2026-09-30T08:00:00.000Z	27 \| good	5.26 \| good	6.182 \| good	28.441 \| good	0.261 \| good	5.043 \| good	0.125 \| good
2026-09-30T09:00:00.000Z	27 \| good	4.153 \| good	6.184 \| good	28.977 \| good	0.245 \| good	3.957 \| good	0.119 \| good
2026-09-30T10:00:00.000Z	28 \| good	4.04 \| good	6.373 \| good	30.071 \| good	0.234 \| good	3.293 \| good	0.118 \| good
2026-09-30T11:00:00.000Z	30 \| good	3.913 \| good	6.936 \| good	32.436 \| good	0.211 \| good	2.349 \| good	0.121 \| good
2026-09-30T12:00:00.000Z	31 \| good	3.918 \| good	7.824 \| good	34.21 \| good	0.184 \| good	1.996 \| good	0.124 \| good
2026-09-30T13:00:00.000Z	32 \| good	3.937 \| good	8.468 \| good	35.259 \| good	0.168 \| good	1.722 \| good	0.127 \| good
2026-09-30T14:00:00.000Z	34 \| good	4.049 \| good	9.061 \| good	36.846 \| good	0.17 \| good	1.776 \| good	0.13 \| good
2026-09-30T15:00:00.000Z	34 \| good	4.025 \| good	9.752 \| good	37.465 \| good	0.182 \| good	1.844 \| good	0.133 \| good
2026-09-30T16:00:00.000Z	33 \| good	3.965 \| good	10.221 \| good	35.917 \| good	0.19 \| good	2.328 \| good	0.136 \| good
2026-09-30T17:00:00.000Z	31 \| good	3.836 \| good	11.102 \| good	34.042 \| good	0.22 \| good	3.242 \| good	0.139 \| good
2026-09-30T18:00:00.000Z	28 \| good	4.647 \| good	11.254 \| good	29.567 \| good	0.294 \| good	5.485 \| good	0.147 \| good
2026-09-30T19:00:00.000Z	27 \| good	5.213 \| good	11.305 \| good	24.272 \| good	0.39 \| good	6.993 \| good	0.153 \| good
2026-09-30T20:00:00.000Z	33 \| good	5.717 \| good	12.604 \| good	21.928 \| good	0.517 \| good	9.156 \| good	0.149 \| good
2026-09-30T21:00:00.000Z	33 \| good	6.035 \| good	13.245 \| good	20.298 \| good	0.56 \| good	10.564 \| good	0.156 \| good
2026-09-30T22:00:00.000Z	33 \| good	6.005 \| good	13.019 \| good	19.315 \| good	0.573 \| good	10.167 \| good	0.156 \| good

Litherland

Empower business decisions with accurate air quality data

Litherland, Merseyside air quality map: Real-time AQI near you

0.31ppm

How accurate is Merseyside, UK air quality data?

Air quality measurements for Merseyside, 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

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 is the air quality data for Litherland, Merseyside updated?

Air quality data for Litherland, Merseyside is updated on an hourly basis.

When did Litherland, Merseyside experience the worst air quality in the last 24 hours?

The worst air quality in Litherland, Merseyside was recorded at 01:00:00 on 2026-09-28.

When did Litherland, Merseyside have its best air quality in the last 24 hours?

The best air quality in Litherland, Merseyside was recorded at 02:00:00 on 2026-09-28.

What is the real-time air quality index for Litherland, Merseyside?

The real-time air quality index in Litherland, Merseyside is 28, currently categorized as Good.

Which pollutant is found most often in Litherland, Merseyside?

The most common pollutant in Litherland, Merseyside is O3.

What can I do if the air quality in Litherland, Merseyside is poor?

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

What are the current PM_2.5 levels in Litherland, Merseyside?

The measured PM_2.5 levels in Litherland, Merseyside at present are 4.684 μg/m³.

What are the current PM₁₀ levels at Litherland, Merseyside?

The current PM₁₀ levels in Litherland, Merseyside are 15.89 μg/m³.

What are the current carbon monoxide (CO) levels at Litherland, Merseyside?

The current carbon monoxide (CO) level in Litherland, Merseyside is 0.312 ppm.

What are the current sulfur dioxide (SO₂) levels at Litherland, Merseyside?

The current sulfur dioxide (SO₂) levels in Litherland, Merseyside are 0.692 ppb.

What are the current ozone (O₃) levels at Litherland, Merseyside?

The current ozone (O₃) levels at Litherland, Merseyside is 29.505 ppm.

What are the current nitrogen dioxide (NO₂) levels at Litherland, Merseyside?

The current nitrogen dioxide (NO₂) levels at Litherland, Merseyside is 16.494 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-09-26T23:00:00.000Z	27 \| good	5.131 \| good	13.566 \| good	21.029 \| good	0.698 \| good	15.024 \| good	0.297 \| good
2026-09-27T00:00:00.000Z	33 \| good	6.143 \| good	14.151 \| good	17.794 \| good	0.542 \| good	16.667 \| good	0.227 \| good
2026-09-27T01:00:00.000Z	27 \| good	5.025 \| good	14.725 \| good	16.58 \| good	0.382 \| good	15.075 \| good	0.229 \| good
2026-09-27T02:00:00.000Z	33 \| good	5.813 \| good	15.775 \| good	14.668 \| good	0.918 \| good	11.613 \| good	0.212 \| good
2026-09-27T03:00:00.000Z	33 \| good	5.55 \| good	16.76 \| good	14.535 \| good	0.596 \| good	7.291 \| good	0.217 \| good
2026-09-27T04:00:00.000Z	33 \| good	6.002 \| good	16.816 \| good	13.642 \| good	0.567 \| good	6.664 \| good	0.205 \| good
2026-09-27T05:00:00.000Z	33 \| good	6.178 \| good	16.531 \| good	11.715 \| good	0.564 \| good	5.407 \| good	0.064 \| good
2026-09-27T06:00:00.000Z	38 \| good	6.586 \| good	15.865 \| good	16.302 \| good	0.382 \| good	7.265 \| good	0.06 \| good
2026-09-27T07:00:00.000Z	38 \| good	6.578 \| good	15.968 \| good	16.202 \| good	0.565 \| good	5.555 \| good	0.062 \| good
2026-09-27T08:00:00.000Z	38 \| good	6.584 \| good	15.187 \| good	17.206 \| good	0.565 \| good	4.729 \| good	0.064 \| good
2026-09-27T09:00:00.000Z	33 \| good	6.305 \| good	16.577 \| good	17.812 \| good	0.463 \| good	4.299 \| good	0.062 \| good
2026-09-27T10:00:00.000Z	33 \| good	5.923 \| good	16.516 \| good	18.985 \| good	0.492 \| good	4.532 \| good	0.075 \| good
2026-09-27T11:00:00.000Z	38 \| good	6.561 \| good	14.873 \| good	20.601 \| good	0.671 \| good	4.717 \| good	0.061 \| good
2026-09-27T12:00:00.000Z	38 \| good	6.636 \| good	15.244 \| good	22.224 \| good	1.356 \| good	4.467 \| good	0.058 \| good
2026-09-27T13:00:00.000Z	33 \| good	6.444 \| good	14.455 \| good	24.185 \| good	1.188 \| good	3.099 \| good	0.055 \| good
2026-09-27T14:00:00.000Z	38 \| good	6.789 \| good	17.499 \| good	27.191 \| good	1.252 \| good	3.096 \| good	0.055 \| good
2026-09-27T15:00:00.000Z	33 \| good	5.505 \| good	18.014 \| good	26.01 \| good	1.252 \| good	2.748 \| good	0.059 \| good
2026-09-27T16:00:00.000Z	33 \| good	6.334 \| good	12.424 \| good	28.042 \| good	0.884 \| good	3.367 \| good	0.057 \| good
2026-09-27T17:00:00.000Z	33 \| good	6.088 \| good	14.181 \| good	31.704 \| good	0.671 \| good	2.266 \| good	0.058 \| good
2026-09-27T18:00:00.000Z	33 \| good	6.066 \| good	12.892 \| good	32.381 \| good	0.59 \| good	2.379 \| good	0.069 \| good
2026-09-27T19:00:00.000Z	33 \| good	6.354 \| good	12.234 \| good	33.046 \| good	0.586 \| good	2.511 \| good	0.08 \| good
2026-09-27T20:00:00.000Z	33 \| good	5.6 \| good	13.036 \| good	33.969 \| good	0.58 \| good	2.487 \| good	0.091 \| good
2026-09-27T21:00:00.000Z	32 \| good	5.256 \| good	11.665 \| good	34.742 \| good	0.58 \| good	2.962 \| good	0.112 \| good
2026-09-27T22:00:00.000Z	33 \| good	6.21 \| good	12.173 \| good	33.338 \| good	0.696 \| good	4.198 \| good	0.094 \| good
2026-09-27T23:00:00.000Z	33 \| good	5.764 \| good	12.033 \| good	32.52 \| good	0.541 \| good	3.781 \| good	0.102 \| good
2026-09-28T00:00:00.000Z	33 \| good	5.937 \| good	11.926 \| good	32.422 \| good	0.541 \| good	4.985 \| good	0.255 \| good
2026-09-28T01:00:00.000Z	33 \| good	5.819 \| good	12.011 \| good	31.647 \| good	0.57 \| good	4.603 \| good	0.18 \| good
2026-09-28T02:00:00.000Z	27 \| good	5.121 \| good	11.626 \| good	29.347 \| good	0.543 \| good	3.487 \| good	0.226 \| good
2026-09-28T03:00:00.000Z	27 \| good	5.162 \| good	11.542 \| good	28.133 \| good	0.738 \| good	4.075 \| good	0.214 \| good
2026-09-28T04:00:00.000Z	27 \| good	4.96 \| good	10.655 \| good	26.966 \| good	0.726 \| good	4.109 \| good	0.218 \| good
2026-09-28T05:00:00.000Z	27 \| good	4.939 \| good	10.088 \| good	26.859 \| good	0.525 \| good	5.908 \| good	0.197 \| good
2026-09-28T06:00:00.000Z	27 \| good	4.822 \| good	9.837 \| good	19.924 \| good	0.588 \| good	7.435 \| good	0.21 \| good
2026-09-28T07:00:00.000Z	22 \| good	4.417 \| good	11.686 \| good	17.136 \| good	1.938 \| good	14.995 \| good	0.279 \| good
2026-09-28T08:00:00.000Z	22 \| good	4.455 \| good	12.262 \| good	11.273 \| good	1.065 \| good	13.087 \| good	0.264 \| good
2026-09-28T09:00:00.000Z	27 \| good	4.854 \| good	11.384 \| good	9.034 \| good	0.71 \| good	12.61 \| good	0.235 \| good
2026-09-28T10:00:00.000Z	27 \| good	5.219 \| good	11.069 \| good	6.195 \| good	0.597 \| good	11.032 \| good	0.221 \| good
2026-09-28T11:00:00.000Z	27 \| good	4.848 \| good	12.989 \| good	9.278 \| good	0.722 \| good	12.757 \| good	0.212 \| good
2026-09-28T12:00:00.000Z	22 \| good	4.493 \| good	10.52 \| good	9.433 \| good	1.673 \| good	11.179 \| good	0.188 \| good
2026-09-28T13:00:00.000Z	22 \| good	4.343 \| good	10.762 \| good	13.199 \| good	1.339 \| good	8.397 \| good	0.165 \| good
2026-09-28T14:00:00.000Z	22 \| good	4.312 \| good	11.496 \| good	15.045 \| good	1.439 \| good	7.625 \| good	0.162 \| good
2026-09-28T15:00:00.000Z	27 \| good	4.832 \| good	12.156 \| good	15.885 \| good	1.538 \| good	3.829 \| good	0.156 \| good
2026-09-28T16:00:00.000Z	27 \| good	4.801 \| good	11.487 \| good	19.635 \| good	0.728 \| good	6.584 \| good	0.153 \| good
2026-09-28T17:00:00.000Z	27 \| good	4.685 \| good	10.764 \| good	20.997 \| good	0.45 \| good	6.722 \| good	0.169 \| good
2026-09-28T18:00:00.000Z	27 \| good	4.863 \| good	10.563 \| good	26.476 \| good	0.494 \| good	13.033 \| good	0.217 \| good
2026-09-28T19:00:00.000Z	27 \| good	5.196 \| good	13.24 \| good	28.955 \| good	0.51 \| good	17.012 \| good	0.253 \| good
2026-09-28T20:00:00.000Z	27 \| good	4.963 \| good	13.787 \| good	29.401 \| good	0.842 \| good	19.027 \| good	0.324 \| good
2026-09-28T21:00:00.000Z	27 \| good	5.164 \| good	14.397 \| good	25.978 \| good	0.672 \| good	20.827 \| good	0.312 \| good
2026-09-28T22:00:00.000Z	33 \| good	6.164 \| good	13.121 \| good	22.894 \| good	1.034 \| good	17.406 \| good	0.352 \| good
2026-09-28T22:00:00.000Z	28 \| good	4.684 \| good	15.89 \| good	29.505 \| good	0.692 \| good	16.494 \| good	0.312 \| good
2026-09-28T23:00:00.000Z	52 \| moderate	9.803 \| good	15.767 \| good	16.861 \| good	0.735 \| good	14.613 \| good	0.187 \| good
2026-09-29T00:00:00.000Z	49 \| good	9.376 \| good	15.348 \| good	18.707 \| good	0.696 \| good	11.704 \| good	0.18 \| good
2026-09-29T01:00:00.000Z	44 \| good	7.895 \| good	12.974 \| good	20.75 \| good	0.558 \| good	9.06 \| good	0.167 \| good
2026-09-29T02:00:00.000Z	38 \| good	6.642 \| good	10.718 \| good	24.494 \| good	0.492 \| good	6.513 \| good	0.158 \| good
2026-09-29T03:00:00.000Z	33 \| good	5.775 \| good	8.647 \| good	26.675 \| good	0.384 \| good	5.032 \| good	0.148 \| good
2026-09-29T04:00:00.000Z	27 \| good	5.069 \| good	7.341 \| good	26.12 \| good	0.308 \| good	4.229 \| good	0.143 \| good
2026-09-29T05:00:00.000Z	24 \| good	4.463 \| good	6.424 \| good	26.216 \| good	0.293 \| good	4.03 \| good	0.141 \| good
2026-09-29T06:00:00.000Z	27 \| good	4.591 \| good	6.978 \| good	28.732 \| good	0.283 \| good	4.416 \| good	0.14 \| good
2026-09-29T07:00:00.000Z	27 \| good	4.574 \| good	7.168 \| good	28.948 \| good	0.311 \| good	5.031 \| good	0.142 \| good
2026-09-29T08:00:00.000Z	27 \| good	4.394 \| good	7.032 \| good	28.709 \| good	0.309 \| good	5.425 \| good	0.142 \| good
2026-09-29T09:00:00.000Z	27 \| good	3.779 \| good	6.55 \| good	29.078 \| good	0.257 \| good	5.147 \| good	0.138 \| good
2026-09-29T10:00:00.000Z	28 \| good	3.432 \| good	6.057 \| good	29.828 \| good	0.242 \| good	4.435 \| good	0.136 \| good
2026-09-29T11:00:00.000Z	29 \| good	3.464 \| good	5.799 \| good	31.281 \| good	0.213 \| good	3.917 \| good	0.133 \| good
2026-09-29T12:00:00.000Z	31 \| good	3.734 \| good	5.877 \| good	32.508 \| good	0.178 \| good	3.342 \| good	0.133 \| good
2026-09-29T13:00:00.000Z	31 \| good	3.883 \| good	5.835 \| good	33.965 \| good	0.187 \| good	3.185 \| good	0.134 \| good
2026-09-29T14:00:00.000Z	32 \| good	4.494 \| good	6.751 \| good	35.466 \| good	0.186 \| good	3.385 \| good	0.136 \| good
2026-09-29T15:00:00.000Z	32 \| good	5.387 \| good	8.042 \| good	35.174 \| good	0.203 \| good	3.709 \| good	0.139 \| good
2026-09-29T16:00:00.000Z	33 \| good	5.972 \| good	9.312 \| good	35.321 \| good	0.254 \| good	4.031 \| good	0.144 \| good
2026-09-29T17:00:00.000Z	38 \| good	7.06 \| good	10.883 \| good	36.839 \| good	0.282 \| good	4.661 \| good	0.147 \| good
2026-09-29T18:00:00.000Z	44 \| good	8.006 \| good	11.717 \| good	37.087 \| good	0.317 \| good	5.145 \| good	0.151 \| good
2026-09-29T19:00:00.000Z	44 \| good	7.901 \| good	12.078 \| good	38.018 \| good	0.354 \| good	5.35 \| good	0.153 \| good
2026-09-29T20:00:00.000Z	44 \| good	8.166 \| good	12.175 \| good	37.376 \| good	0.378 \| good	5.36 \| good	0.152 \| good
2026-09-29T21:00:00.000Z	44 \| good	7.964 \| good	12.085 \| good	36.782 \| good	0.395 \| good	5.287 \| good	0.148 \| good
2026-09-29T22:00:00.000Z	38 \| good	7.499 \| good	11.849 \| good	36.405 \| good	0.337 \| good	4.889 \| good	0.147 \| good
2026-09-29T23:00:00.000Z	38 \| good	7.412 \| good	11.602 \| good	35.654 \| good	0.308 \| good	4.561 \| good	0.143 \| good
2026-09-30T00:00:00.000Z	38 \| good	7.333 \| good	10.722 \| good	35.222 \| good	0.316 \| good	4.075 \| good	0.14 \| good
2026-09-30T01:00:00.000Z	38 \| good	6.794 \| good	9.584 \| good	36.13 \| good	0.26 \| good	3.443 \| good	0.134 \| good
2026-09-30T02:00:00.000Z	38 \| good	6.545 \| good	8.436 \| good	36.638 \| good	0.256 \| good	2.789 \| good	0.129 \| good
2026-09-30T03:00:00.000Z	33 \| good	6.395 \| good	8.587 \| good	35.673 \| good	0.236 \| good	2.593 \| good	0.127 \| good
2026-09-30T04:00:00.000Z	38 \| good	6.541 \| good	9.716 \| good	34.298 \| good	0.225 \| good	2.717 \| good	0.127 \| good
2026-09-30T05:00:00.000Z	33 \| good	6.458 \| good	8.876 \| good	33.139 \| good	0.21 \| good	2.83 \| good	0.124 \| good
2026-09-30T06:00:00.000Z	33 \| good	5.845 \| good	7.958 \| good	31.362 \| good	0.223 \| good	3.387 \| good	0.124 \| good
2026-09-30T07:00:00.000Z	33 \| good	5.72 \| good	6.594 \| good	29.508 \| good	0.24 \| good	4.662 \| good	0.126 \| good
2026-09-30T08:00:00.000Z	27 \| good	5.26 \| good	6.182 \| good	28.441 \| good	0.261 \| good	5.043 \| good	0.125 \| good
2026-09-30T09:00:00.000Z	27 \| good	4.153 \| good	6.184 \| good	28.977 \| good	0.245 \| good	3.957 \| good	0.119 \| good
2026-09-30T10:00:00.000Z	28 \| good	4.04 \| good	6.373 \| good	30.071 \| good	0.234 \| good	3.293 \| good	0.118 \| good
2026-09-30T11:00:00.000Z	30 \| good	3.913 \| good	6.936 \| good	32.436 \| good	0.211 \| good	2.349 \| good	0.121 \| good
2026-09-30T12:00:00.000Z	31 \| good	3.918 \| good	7.824 \| good	34.21 \| good	0.184 \| good	1.996 \| good	0.124 \| good
2026-09-30T13:00:00.000Z	32 \| good	3.937 \| good	8.468 \| good	35.259 \| good	0.168 \| good	1.722 \| good	0.127 \| good
2026-09-30T14:00:00.000Z	34 \| good	4.049 \| good	9.061 \| good	36.846 \| good	0.17 \| good	1.776 \| good	0.13 \| good
2026-09-30T15:00:00.000Z	34 \| good	4.025 \| good	9.752 \| good	37.465 \| good	0.182 \| good	1.844 \| good	0.133 \| good
2026-09-30T16:00:00.000Z	33 \| good	3.965 \| good	10.221 \| good	35.917 \| good	0.19 \| good	2.328 \| good	0.136 \| good
2026-09-30T17:00:00.000Z	31 \| good	3.836 \| good	11.102 \| good	34.042 \| good	0.22 \| good	3.242 \| good	0.139 \| good
2026-09-30T18:00:00.000Z	28 \| good	4.647 \| good	11.254 \| good	29.567 \| good	0.294 \| good	5.485 \| good	0.147 \| good
2026-09-30T19:00:00.000Z	27 \| good	5.213 \| good	11.305 \| good	24.272 \| good	0.39 \| good	6.993 \| good	0.153 \| good
2026-09-30T20:00:00.000Z	33 \| good	5.717 \| good	12.604 \| good	21.928 \| good	0.517 \| good	9.156 \| good	0.149 \| good
2026-09-30T21:00:00.000Z	33 \| good	6.035 \| good	13.245 \| good	20.298 \| good	0.56 \| good	10.564 \| good	0.156 \| good
2026-09-30T22:00:00.000Z	33 \| good	6.005 \| good	13.019 \| good	19.315 \| good	0.573 \| good	10.167 \| good	0.156 \| good

Real-time air quality index in Litherland, Merseyside today

Common air pollutants in Litherland, Merseyside

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Litherland, Merseyside air quality forecast and history

Empower business decisions with accurate air quality data

Litherland, Merseyside air quality map: Real-time AQI near you

Air quality in nearby cities

Bootle, Merseyside

Crosby, Merseyside

Maghull, Merseyside

Wallasey, Merseyside

Kirkby, Merseyside

Liverpool, Merseyside

How accurate is Merseyside, UK air quality data?

Air quality levels in UK

Frequently asked questions

How frequently is the air quality data for Litherland, Merseyside updated?

When did Litherland, Merseyside experience the worst air quality in the last 24 hours?

When did Litherland, Merseyside have its best air quality in the last 24 hours?

What is the real-time air quality index for Litherland, Merseyside?

Which pollutant is found most often in Litherland, Merseyside?

What can I do if the air quality in Litherland, Merseyside is poor?

What are the current PM2.5 levels in Litherland, Merseyside?

What are the current PM10 levels at Litherland, Merseyside?

What are the current carbon monoxide (CO) levels at Litherland, Merseyside?

What are the current sulfur dioxide (SO2) levels at Litherland, Merseyside?

What are the current ozone (O3) levels at Litherland, Merseyside?

What are the current nitrogen dioxide (NO2) levels at Litherland, Merseyside?

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 Litherland, Merseyside?

What are the current PM₁₀ levels at Litherland, Merseyside?

What are the current sulfur dioxide (SO₂) levels at Litherland, Merseyside?

What are the current ozone (O₃) levels at Litherland, Merseyside?

What are the current nitrogen dioxide (NO₂) levels at Litherland, Merseyside?