What are the current PM10 levels at Litherland, Merseyside?

The current PM10 levels in Litherland, Merseyside are 9.3 μg/m3.

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

The current sulfur dioxide (SO2) levels in Litherland, Merseyside are 4.627 ppb.

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

The current ozone (O3) levels at Litherland, Merseyside is 34.949 ppm.

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

The current nitrogen dioxide (NO2) levels at Litherland, Merseyside is 4.04 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 3.192 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)

3.19 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

9.30 μg/m³

155

255

425

605+

Ozone (O₃)

34.95 ppb

201

201+

Sulfur Dioxide (SO₂)

4.63 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

4.04 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.20 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

High

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
2026-03-15T10:00:00.000Z	38 \| good	6.611 \| good	21.837 \| good	28.427 \| good	3.458 \| good	1.861 \| good	0.1 \| good
2026-03-15T11:00:00.000Z	33 \| good	6.157 \| good	21.382 \| good	29.16 \| good	1.106 \| good	1.784 \| good	0.071 \| good
2026-03-15T12:00:00.000Z	33 \| good	5.667 \| good	19.325 \| good	30.283 \| good	0.633 \| good	1.969 \| good	0.064 \| good
2026-03-15T13:00:00.000Z	33 \| good	5.644 \| good	18.95 \| good	30.785 \| good	0.696 \| good	3.066 \| good	0.061 \| good
2026-03-15T14:00:00.000Z	33 \| good	5.624 \| good	18.667 \| good	31.834 \| good	0.698 \| good	4.499 \| good	0.074 \| good
2026-03-15T15:00:00.000Z	33 \| good	5.612 \| good	18.63 \| good	33.781 \| good	0.596 \| good	4.454 \| good	0.067 \| good
2026-03-15T16:00:00.000Z	33 \| good	5.604 \| good	18.658 \| good	35.773 \| good	0.383 \| good	4.724 \| good	0.072 \| good
2026-03-15T17:00:00.000Z	34 \| good	5.578 \| good	18.495 \| good	37.342 \| good	0.383 \| good	3.738 \| good	0.083 \| good
2026-03-15T18:00:00.000Z	35 \| good	5.567 \| good	18.631 \| good	37.988 \| good	0.572 \| good	2.457 \| good	0.1 \| good
2026-03-15T19:00:00.000Z	36 \| good	5.552 \| good	18.434 \| good	39.151 \| good	0.383 \| good	2.691 \| good	0.119 \| good
2026-03-15T20:00:00.000Z	36 \| good	5.557 \| good	18.394 \| good	38.581 \| good	0.576 \| good	3.67 \| good	0.17 \| good
2026-03-15T21:00:00.000Z	36 \| good	5.57 \| good	18.222 \| good	39.488 \| good	0.384 \| good	3.717 \| good	0.207 \| good
2026-03-15T22:00:00.000Z	37 \| good	5.551 \| good	18.216 \| good	39.998 \| good	0.383 \| good	3.029 \| good	0.206 \| good
2026-03-15T23:00:00.000Z	37 \| good	5.432 \| good	17.772 \| good	39.925 \| good	0.382 \| good	2.407 \| good	0.296 \| good
2026-03-16T00:00:00.000Z	37 \| good	4.935 \| good	15.393 \| good	40.303 \| good	0.382 \| good	1.797 \| good	0.83 \| good
2026-03-16T01:00:00.000Z	37 \| good	4.563 \| good	15.246 \| good	40.347 \| good	0.383 \| good	1.307 \| good	0.622 \| good
2026-03-16T02:00:00.000Z	37 \| good	5.383 \| good	17.975 \| good	40.384 \| good	0.383 \| good	1.056 \| good	0.569 \| good
2026-03-16T03:00:00.000Z	38 \| good	5.288 \| good	17.958 \| good	40.836 \| good	0.383 \| good	0.708 \| good	0.415 \| good
2026-03-16T04:00:00.000Z	39 \| good	5.284 \| good	18.047 \| good	42.499 \| good	0.383 \| good	0.685 \| good	0.442 \| good
2026-03-16T05:00:00.000Z	40 \| good	4.809 \| good	15.645 \| good	42.959 \| good	0.575 \| good	0.63 \| good	0.438 \| good
2026-03-16T06:00:00.000Z	40 \| good	4.804 \| good	15.7 \| good	43.461 \| good	0.57 \| good	0.73 \| good	0.147 \| good
2026-03-16T07:00:00.000Z	40 \| good	4.807 \| good	15.698 \| good	43.345 \| good	0.76 \| good	1.026 \| good	0.5 \| good
2026-03-16T08:00:00.000Z	40 \| good	4.853 \| good	15.751 \| good	42.743 \| good	0.737 \| good	3.377 \| good	0.189 \| good
2026-03-16T09:00:00.000Z	39 \| good	5.316 \| good	17.968 \| good	42.221 \| good	0.929 \| good	7.263 \| good	0.149 \| good
2026-03-16T10:00:00.000Z	38 \| good	5.349 \| good	18.485 \| good	41.387 \| good	0.558 \| good	7.97 \| good	0.119 \| good
2026-03-16T11:00:00.000Z	38 \| good	5.35 \| good	18.663 \| good	40.898 \| good	0.624 \| good	4.846 \| good	0.086 \| good
2026-03-16T12:00:00.000Z	37 \| good	5.776 \| good	18.928 \| good	40.47 \| good	0.695 \| good	3.562 \| good	0.078 \| good
2026-03-16T13:00:00.000Z	37 \| good	6.303 \| good	21.193 \| good	39.814 \| good	0.53 \| good	4.192 \| good	0.075 \| good
2026-03-16T14:00:00.000Z	36 \| good	6.306 \| good	21.146 \| good	39.32 \| good	0.501 \| good	3.985 \| good	0.073 \| good
2026-03-16T15:00:00.000Z	36 \| good	6.302 \| good	21.133 \| good	38.735 \| good	0.728 \| good	3.551 \| good	0.071 \| good
2026-03-16T16:00:00.000Z	36 \| good	5.497 \| good	18.807 \| good	38.708 \| good	0.634 \| good	4.221 \| good	0.071 \| good
2026-03-16T17:00:00.000Z	36 \| good	5.475 \| good	18.763 \| good	38.799 \| good	0.668 \| good	6.403 \| good	0.081 \| good
2026-03-16T18:00:00.000Z	36 \| good	5.48 \| good	18.452 \| good	38.62 \| good	0.628 \| good	5.689 \| good	0.102 \| good
2026-03-16T19:00:00.000Z	36 \| good	5.003 \| good	16.053 \| good	39.061 \| good	0.414 \| good	5.633 \| good	0.155 \| good
2026-03-16T20:00:00.000Z	36 \| good	4.541 \| good	15.555 \| good	38.824 \| good	0.667 \| good	3.909 \| good	0.167 \| good
2026-03-16T21:00:00.000Z	36 \| good	4.529 \| good	15.618 \| good	38.735 \| good	0.634 \| good	3.541 \| good	0.231 \| good
2026-03-16T22:00:00.000Z	36 \| good	4.538 \| good	15.536 \| good	38.791 \| good	0.416 \| good	3.33 \| good	0.208 \| good
2026-03-16T23:00:00.000Z	36 \| good	4.537 \| good	15.079 \| good	38.708 \| good	2.128 \| good	2.749 \| good	0.171 \| good
2026-03-17T00:00:00.000Z	35 \| good	4.05 \| good	13.145 \| good	38.46 \| good	1.836 \| good	2.823 \| good	0.636 \| good
2026-03-17T01:00:00.000Z	35 \| good	4.077 \| good	13.197 \| good	38.032 \| good	1.962 \| good	2.453 \| good	0.519 \| good
2026-03-17T02:00:00.000Z	35 \| good	3.704 \| good	12.678 \| good	38.033 \| good	1.376 \| good	1.932 \| good	0.49 \| good
2026-03-17T03:00:00.000Z	34 \| good	3.673 \| good	12.585 \| good	37.264 \| good	3.977 \| good	1.649 \| good	0.461 \| good
2026-03-17T04:00:00.000Z	33 \| good	3.69 \| good	12.674 \| good	36.406 \| good	6.203 \| good	1.894 \| good	0.4 \| good
2026-03-17T05:00:00.000Z	33 \| good	3.689 \| good	12.297 \| good	35.842 \| good	2.309 \| good	1.404 \| good	0.404 \| good
2026-03-17T06:00:00.000Z	32 \| good	3.691 \| good	12.275 \| good	35.396 \| good	4.237 \| good	1.086 \| good	0.421 \| good
2026-03-17T07:00:00.000Z	32 \| good	3.202 \| good	9.311 \| good	35.068 \| good	5.729 \| good	2.383 \| good	0.138 \| good
2026-03-17T08:00:00.000Z	32 \| good	3.192 \| good	9.3 \| good	34.949 \| good	4.627 \| good	4.04 \| good	0.195 \| good
2026-03-17T09:00:00.000Z	32 \| good	3.192 \| good	9.3 \| good	34.949 \| good	4.627 \| good	4.04 \| good	0.195 \| good
2026-03-17T10:00:00.000Z	38 \| good	4.373 \| good	7.94 \| good	40.701 \| good	0.281 \| good	3.474 \| good	0.112 \| good
2026-03-17T11:00:00.000Z	39 \| good	4.494 \| good	8.272 \| good	41.718 \| good	0.253 \| good	2.975 \| good	0.111 \| good
2026-03-17T12:00:00.000Z	41 \| good	4.549 \| good	8.772 \| good	43.914 \| good	0.243 \| good	2.383 \| good	0.11 \| good
2026-03-17T13:00:00.000Z	43 \| good	4.463 \| good	8.383 \| good	46.056 \| good	0.236 \| good	2.197 \| good	0.111 \| good
2026-03-17T14:00:00.000Z	44 \| good	4.792 \| good	9.661 \| good	47.365 \| good	0.223 \| good	2.12 \| good	0.112 \| good
2026-03-17T15:00:00.000Z	44 \| good	5.076 \| good	10.077 \| good	47.195 \| good	0.222 \| good	2.246 \| good	0.113 \| good
2026-03-17T16:00:00.000Z	43 \| good	5.156 \| good	10.328 \| good	46.013 \| good	0.25 \| good	2.853 \| good	0.118 \| good
2026-03-17T17:00:00.000Z	41 \| good	5.156 \| good	10.593 \| good	43.807 \| good	0.288 \| good	3.779 \| good	0.121 \| good
2026-03-17T18:00:00.000Z	38 \| good	5.911 \| good	10.343 \| good	41.079 \| good	0.383 \| good	5.566 \| good	0.128 \| good
2026-03-17T19:00:00.000Z	38 \| good	6.716 \| good	10.876 \| good	38.326 \| good	0.464 \| good	7.167 \| good	0.128 \| good
2026-03-17T20:00:00.000Z	38 \| good	7.189 \| good	12.246 \| good	34.675 \| good	0.552 \| good	8.378 \| good	0.126 \| good
2026-03-17T21:00:00.000Z	44 \| good	7.823 \| good	13.798 \| good	30.26 \| good	0.681 \| good	9.985 \| good	0.132 \| good
2026-03-17T22:00:00.000Z	49 \| good	8.909 \| good	14.417 \| good	25.807 \| good	0.814 \| good	12.468 \| good	0.136 \| good
2026-03-17T23:00:00.000Z	52 \| moderate	9.833 \| good	14.633 \| good	24.126 \| good	0.753 \| good	12.621 \| good	0.139 \| good
2026-03-18T00:00:00.000Z	52 \| moderate	10.454 \| good	14.196 \| good	22.883 \| good	0.756 \| good	11.337 \| good	0.137 \| good
2026-03-18T01:00:00.000Z	54 \| moderate	10.825 \| good	13.475 \| good	22.948 \| good	0.725 \| good	9.933 \| good	0.132 \| good
2026-03-18T02:00:00.000Z	56 \| moderate	11.511 \| good	13.748 \| good	23.271 \| good	0.704 \| good	9.009 \| good	0.131 \| good
2026-03-18T03:00:00.000Z	56 \| moderate	11.765 \| good	14.289 \| good	23.337 \| good	0.7 \| good	8.651 \| good	0.128 \| good
2026-03-18T04:00:00.000Z	56 \| moderate	12.129 \| fine	14.871 \| good	22.759 \| good	0.686 \| good	8.454 \| good	0.127 \| good
2026-03-18T05:00:00.000Z	58 \| moderate	12.769 \| fine	15.764 \| good	21.853 \| good	0.696 \| good	8.987 \| good	0.13 \| good
2026-03-18T06:00:00.000Z	60 \| moderate	13.932 \| fine	16.823 \| good	18.899 \| good	0.773 \| good	10.152 \| good	0.134 \| good
2026-03-18T07:00:00.000Z	62 \| moderate	15.281 \| fine	18.96 \| good	15.75 \| good	0.929 \| good	11.956 \| good	0.15 \| good
2026-03-18T08:00:00.000Z	66 \| moderate	16.514 \| fine	20.881 \| good	16.337 \| good	1.095 \| good	12.805 \| good	0.171 \| good
2026-03-18T09:00:00.000Z	66 \| moderate	17.078 \| fine	21.403 \| good	17.928 \| good	1.13 \| good	11.309 \| good	0.179 \| good
2026-03-18T10:00:00.000Z	66 \| moderate	16.589 \| fine	21.043 \| good	21.683 \| good	1.083 \| good	10.396 \| good	0.181 \| good
2026-03-18T11:00:00.000Z	64 \| moderate	15.968 \| fine	19.962 \| good	24.019 \| good	0.92 \| good	9.776 \| good	0.175 \| good
2026-03-18T12:00:00.000Z	60 \| moderate	14.358 \| fine	17.995 \| good	26.559 \| good	0.862 \| good	8.117 \| good	0.16 \| good
2026-03-18T13:00:00.000Z	58 \| moderate	13.206 \| fine	15.516 \| good	31.975 \| good	0.727 \| good	7.322 \| good	0.156 \| good
2026-03-18T14:00:00.000Z	58 \| moderate	13.04 \| fine	15.677 \| good	34.862 \| good	0.719 \| good	7.232 \| good	0.158 \| good
2026-03-18T15:00:00.000Z	58 \| moderate	12.869 \| fine	15.587 \| good	35.706 \| good	0.732 \| good	8.102 \| good	0.164 \| good
2026-03-18T16:00:00.000Z	58 \| moderate	13.066 \| fine	16.824 \| good	33.851 \| good	0.845 \| good	9.517 \| good	0.17 \| good
2026-03-18T17:00:00.000Z	58 \| moderate	13.479 \| fine	18.915 \| good	30.55 \| good	0.947 \| good	12.305 \| good	0.182 \| good
2026-03-18T18:00:00.000Z	64 \| moderate	16.399 \| fine	21.093 \| good	24.493 \| good	1.08 \| good	17.598 \| good	0.203 \| good
2026-03-18T19:00:00.000Z	67 \| moderate	17.774 \| fine	23.365 \| good	19.451 \| good	1.131 \| good	21.543 \| good	0.216 \| good
2026-03-18T20:00:00.000Z	67 \| moderate	17.785 \| fine	24.656 \| good	14.68 \| good	1.259 \| good	23.033 \| good	0.219 \| good
2026-03-18T21:00:00.000Z	69 \| moderate	18.848 \| fine	24.893 \| good	10.69 \| good	1.358 \| good	25.131 \| good	0.223 \| good
2026-03-18T22:00:00.000Z	71 \| moderate	19.993 \| fine	26.154 \| good	9.034 \| good	1.47 \| good	25.21 \| good	0.221 \| good
2026-03-18T23:00:00.000Z	73 \| moderate	20.965 \| fine	26.417 \| good	7.536 \| good	1.498 \| good	24.031 \| good	0.217 \| good
2026-03-19T00:00:00.000Z	73 \| moderate	20.674 \| fine	24.852 \| good	7.405 \| good	1.373 \| good	21.853 \| good	0.216 \| good
2026-03-19T01:00:00.000Z	71 \| moderate	19.602 \| fine	24.572 \| good	8.441 \| good	0.888 \| good	19.736 \| good	0.212 \| good
2026-03-19T02:00:00.000Z	71 \| moderate	20.071 \| fine	24.236 \| good	9.802 \| good	0.859 \| good	18.048 \| good	0.208 \| good
2026-03-19T03:00:00.000Z	73 \| moderate	20.868 \| fine	24.913 \| good	10.747 \| good	0.909 \| good	17.251 \| good	0.199 \| good
2026-03-19T04:00:00.000Z	73 \| moderate	21.168 \| fine	23.986 \| good	10.991 \| good	0.966 \| good	16.722 \| good	0.194 \| good
2026-03-19T05:00:00.000Z	69 \| moderate	19.322 \| fine	21.803 \| good	10.944 \| good	0.974 \| good	16.749 \| good	0.196 \| good
2026-03-19T06:00:00.000Z	67 \| moderate	18.45 \| fine	20.216 \| good	10.121 \| good	1.051 \| good	17.018 \| good	0.196 \| good
2026-03-19T07:00:00.000Z	69 \| moderate	19.469 \| fine	21.252 \| good	9.905 \| good	1.206 \| good	17.275 \| good	0.194 \| good
2026-03-19T08:00:00.000Z	71 \| moderate	20.255 \| fine	22.241 \| good	13.205 \| good	1.412 \| good	16.716 \| good	0.208 \| good
2026-03-19T09:00:00.000Z	71 \| moderate	19.756 \| fine	22.854 \| good	17.837 \| good	1.441 \| good	15.566 \| good	0.203 \| good

Litherland

Empower business decisions with accurate air quality data

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

0.20ppm

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 09:00:00 on 2026-03-16.

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

The best air quality in Litherland, Merseyside was recorded at 08:00:00 on 2026-03-17.

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

The real-time air quality index in Litherland, Merseyside is 32, 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 3.192 μg/m³.

What are the current PM₁₀ levels at Litherland, Merseyside?

The current PM₁₀ levels in Litherland, Merseyside are 9.3 μg/m³.

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

The current carbon monoxide (CO) level in Litherland, Merseyside is 0.195 ppm.

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

The current sulfur dioxide (SO₂) levels in Litherland, Merseyside are 4.627 ppb.

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

The current ozone (O₃) levels at Litherland, Merseyside is 34.949 ppm.

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

The current nitrogen dioxide (NO₂) levels at Litherland, Merseyside is 4.04 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-03-15T10:00:00.000Z	38 \| good	6.611 \| good	21.837 \| good	28.427 \| good	3.458 \| good	1.861 \| good	0.1 \| good
2026-03-15T11:00:00.000Z	33 \| good	6.157 \| good	21.382 \| good	29.16 \| good	1.106 \| good	1.784 \| good	0.071 \| good
2026-03-15T12:00:00.000Z	33 \| good	5.667 \| good	19.325 \| good	30.283 \| good	0.633 \| good	1.969 \| good	0.064 \| good
2026-03-15T13:00:00.000Z	33 \| good	5.644 \| good	18.95 \| good	30.785 \| good	0.696 \| good	3.066 \| good	0.061 \| good
2026-03-15T14:00:00.000Z	33 \| good	5.624 \| good	18.667 \| good	31.834 \| good	0.698 \| good	4.499 \| good	0.074 \| good
2026-03-15T15:00:00.000Z	33 \| good	5.612 \| good	18.63 \| good	33.781 \| good	0.596 \| good	4.454 \| good	0.067 \| good
2026-03-15T16:00:00.000Z	33 \| good	5.604 \| good	18.658 \| good	35.773 \| good	0.383 \| good	4.724 \| good	0.072 \| good
2026-03-15T17:00:00.000Z	34 \| good	5.578 \| good	18.495 \| good	37.342 \| good	0.383 \| good	3.738 \| good	0.083 \| good
2026-03-15T18:00:00.000Z	35 \| good	5.567 \| good	18.631 \| good	37.988 \| good	0.572 \| good	2.457 \| good	0.1 \| good
2026-03-15T19:00:00.000Z	36 \| good	5.552 \| good	18.434 \| good	39.151 \| good	0.383 \| good	2.691 \| good	0.119 \| good
2026-03-15T20:00:00.000Z	36 \| good	5.557 \| good	18.394 \| good	38.581 \| good	0.576 \| good	3.67 \| good	0.17 \| good
2026-03-15T21:00:00.000Z	36 \| good	5.57 \| good	18.222 \| good	39.488 \| good	0.384 \| good	3.717 \| good	0.207 \| good
2026-03-15T22:00:00.000Z	37 \| good	5.551 \| good	18.216 \| good	39.998 \| good	0.383 \| good	3.029 \| good	0.206 \| good
2026-03-15T23:00:00.000Z	37 \| good	5.432 \| good	17.772 \| good	39.925 \| good	0.382 \| good	2.407 \| good	0.296 \| good
2026-03-16T00:00:00.000Z	37 \| good	4.935 \| good	15.393 \| good	40.303 \| good	0.382 \| good	1.797 \| good	0.83 \| good
2026-03-16T01:00:00.000Z	37 \| good	4.563 \| good	15.246 \| good	40.347 \| good	0.383 \| good	1.307 \| good	0.622 \| good
2026-03-16T02:00:00.000Z	37 \| good	5.383 \| good	17.975 \| good	40.384 \| good	0.383 \| good	1.056 \| good	0.569 \| good
2026-03-16T03:00:00.000Z	38 \| good	5.288 \| good	17.958 \| good	40.836 \| good	0.383 \| good	0.708 \| good	0.415 \| good
2026-03-16T04:00:00.000Z	39 \| good	5.284 \| good	18.047 \| good	42.499 \| good	0.383 \| good	0.685 \| good	0.442 \| good
2026-03-16T05:00:00.000Z	40 \| good	4.809 \| good	15.645 \| good	42.959 \| good	0.575 \| good	0.63 \| good	0.438 \| good
2026-03-16T06:00:00.000Z	40 \| good	4.804 \| good	15.7 \| good	43.461 \| good	0.57 \| good	0.73 \| good	0.147 \| good
2026-03-16T07:00:00.000Z	40 \| good	4.807 \| good	15.698 \| good	43.345 \| good	0.76 \| good	1.026 \| good	0.5 \| good
2026-03-16T08:00:00.000Z	40 \| good	4.853 \| good	15.751 \| good	42.743 \| good	0.737 \| good	3.377 \| good	0.189 \| good
2026-03-16T09:00:00.000Z	39 \| good	5.316 \| good	17.968 \| good	42.221 \| good	0.929 \| good	7.263 \| good	0.149 \| good
2026-03-16T10:00:00.000Z	38 \| good	5.349 \| good	18.485 \| good	41.387 \| good	0.558 \| good	7.97 \| good	0.119 \| good
2026-03-16T11:00:00.000Z	38 \| good	5.35 \| good	18.663 \| good	40.898 \| good	0.624 \| good	4.846 \| good	0.086 \| good
2026-03-16T12:00:00.000Z	37 \| good	5.776 \| good	18.928 \| good	40.47 \| good	0.695 \| good	3.562 \| good	0.078 \| good
2026-03-16T13:00:00.000Z	37 \| good	6.303 \| good	21.193 \| good	39.814 \| good	0.53 \| good	4.192 \| good	0.075 \| good
2026-03-16T14:00:00.000Z	36 \| good	6.306 \| good	21.146 \| good	39.32 \| good	0.501 \| good	3.985 \| good	0.073 \| good
2026-03-16T15:00:00.000Z	36 \| good	6.302 \| good	21.133 \| good	38.735 \| good	0.728 \| good	3.551 \| good	0.071 \| good
2026-03-16T16:00:00.000Z	36 \| good	5.497 \| good	18.807 \| good	38.708 \| good	0.634 \| good	4.221 \| good	0.071 \| good
2026-03-16T17:00:00.000Z	36 \| good	5.475 \| good	18.763 \| good	38.799 \| good	0.668 \| good	6.403 \| good	0.081 \| good
2026-03-16T18:00:00.000Z	36 \| good	5.48 \| good	18.452 \| good	38.62 \| good	0.628 \| good	5.689 \| good	0.102 \| good
2026-03-16T19:00:00.000Z	36 \| good	5.003 \| good	16.053 \| good	39.061 \| good	0.414 \| good	5.633 \| good	0.155 \| good
2026-03-16T20:00:00.000Z	36 \| good	4.541 \| good	15.555 \| good	38.824 \| good	0.667 \| good	3.909 \| good	0.167 \| good
2026-03-16T21:00:00.000Z	36 \| good	4.529 \| good	15.618 \| good	38.735 \| good	0.634 \| good	3.541 \| good	0.231 \| good
2026-03-16T22:00:00.000Z	36 \| good	4.538 \| good	15.536 \| good	38.791 \| good	0.416 \| good	3.33 \| good	0.208 \| good
2026-03-16T23:00:00.000Z	36 \| good	4.537 \| good	15.079 \| good	38.708 \| good	2.128 \| good	2.749 \| good	0.171 \| good
2026-03-17T00:00:00.000Z	35 \| good	4.05 \| good	13.145 \| good	38.46 \| good	1.836 \| good	2.823 \| good	0.636 \| good
2026-03-17T01:00:00.000Z	35 \| good	4.077 \| good	13.197 \| good	38.032 \| good	1.962 \| good	2.453 \| good	0.519 \| good
2026-03-17T02:00:00.000Z	35 \| good	3.704 \| good	12.678 \| good	38.033 \| good	1.376 \| good	1.932 \| good	0.49 \| good
2026-03-17T03:00:00.000Z	34 \| good	3.673 \| good	12.585 \| good	37.264 \| good	3.977 \| good	1.649 \| good	0.461 \| good
2026-03-17T04:00:00.000Z	33 \| good	3.69 \| good	12.674 \| good	36.406 \| good	6.203 \| good	1.894 \| good	0.4 \| good
2026-03-17T05:00:00.000Z	33 \| good	3.689 \| good	12.297 \| good	35.842 \| good	2.309 \| good	1.404 \| good	0.404 \| good
2026-03-17T06:00:00.000Z	32 \| good	3.691 \| good	12.275 \| good	35.396 \| good	4.237 \| good	1.086 \| good	0.421 \| good
2026-03-17T07:00:00.000Z	32 \| good	3.202 \| good	9.311 \| good	35.068 \| good	5.729 \| good	2.383 \| good	0.138 \| good
2026-03-17T08:00:00.000Z	32 \| good	3.192 \| good	9.3 \| good	34.949 \| good	4.627 \| good	4.04 \| good	0.195 \| good
2026-03-17T09:00:00.000Z	32 \| good	3.192 \| good	9.3 \| good	34.949 \| good	4.627 \| good	4.04 \| good	0.195 \| good
2026-03-17T10:00:00.000Z	38 \| good	4.373 \| good	7.94 \| good	40.701 \| good	0.281 \| good	3.474 \| good	0.112 \| good
2026-03-17T11:00:00.000Z	39 \| good	4.494 \| good	8.272 \| good	41.718 \| good	0.253 \| good	2.975 \| good	0.111 \| good
2026-03-17T12:00:00.000Z	41 \| good	4.549 \| good	8.772 \| good	43.914 \| good	0.243 \| good	2.383 \| good	0.11 \| good
2026-03-17T13:00:00.000Z	43 \| good	4.463 \| good	8.383 \| good	46.056 \| good	0.236 \| good	2.197 \| good	0.111 \| good
2026-03-17T14:00:00.000Z	44 \| good	4.792 \| good	9.661 \| good	47.365 \| good	0.223 \| good	2.12 \| good	0.112 \| good
2026-03-17T15:00:00.000Z	44 \| good	5.076 \| good	10.077 \| good	47.195 \| good	0.222 \| good	2.246 \| good	0.113 \| good
2026-03-17T16:00:00.000Z	43 \| good	5.156 \| good	10.328 \| good	46.013 \| good	0.25 \| good	2.853 \| good	0.118 \| good
2026-03-17T17:00:00.000Z	41 \| good	5.156 \| good	10.593 \| good	43.807 \| good	0.288 \| good	3.779 \| good	0.121 \| good
2026-03-17T18:00:00.000Z	38 \| good	5.911 \| good	10.343 \| good	41.079 \| good	0.383 \| good	5.566 \| good	0.128 \| good
2026-03-17T19:00:00.000Z	38 \| good	6.716 \| good	10.876 \| good	38.326 \| good	0.464 \| good	7.167 \| good	0.128 \| good
2026-03-17T20:00:00.000Z	38 \| good	7.189 \| good	12.246 \| good	34.675 \| good	0.552 \| good	8.378 \| good	0.126 \| good
2026-03-17T21:00:00.000Z	44 \| good	7.823 \| good	13.798 \| good	30.26 \| good	0.681 \| good	9.985 \| good	0.132 \| good
2026-03-17T22:00:00.000Z	49 \| good	8.909 \| good	14.417 \| good	25.807 \| good	0.814 \| good	12.468 \| good	0.136 \| good
2026-03-17T23:00:00.000Z	52 \| moderate	9.833 \| good	14.633 \| good	24.126 \| good	0.753 \| good	12.621 \| good	0.139 \| good
2026-03-18T00:00:00.000Z	52 \| moderate	10.454 \| good	14.196 \| good	22.883 \| good	0.756 \| good	11.337 \| good	0.137 \| good
2026-03-18T01:00:00.000Z	54 \| moderate	10.825 \| good	13.475 \| good	22.948 \| good	0.725 \| good	9.933 \| good	0.132 \| good
2026-03-18T02:00:00.000Z	56 \| moderate	11.511 \| good	13.748 \| good	23.271 \| good	0.704 \| good	9.009 \| good	0.131 \| good
2026-03-18T03:00:00.000Z	56 \| moderate	11.765 \| good	14.289 \| good	23.337 \| good	0.7 \| good	8.651 \| good	0.128 \| good
2026-03-18T04:00:00.000Z	56 \| moderate	12.129 \| fine	14.871 \| good	22.759 \| good	0.686 \| good	8.454 \| good	0.127 \| good
2026-03-18T05:00:00.000Z	58 \| moderate	12.769 \| fine	15.764 \| good	21.853 \| good	0.696 \| good	8.987 \| good	0.13 \| good
2026-03-18T06:00:00.000Z	60 \| moderate	13.932 \| fine	16.823 \| good	18.899 \| good	0.773 \| good	10.152 \| good	0.134 \| good
2026-03-18T07:00:00.000Z	62 \| moderate	15.281 \| fine	18.96 \| good	15.75 \| good	0.929 \| good	11.956 \| good	0.15 \| good
2026-03-18T08:00:00.000Z	66 \| moderate	16.514 \| fine	20.881 \| good	16.337 \| good	1.095 \| good	12.805 \| good	0.171 \| good
2026-03-18T09:00:00.000Z	66 \| moderate	17.078 \| fine	21.403 \| good	17.928 \| good	1.13 \| good	11.309 \| good	0.179 \| good
2026-03-18T10:00:00.000Z	66 \| moderate	16.589 \| fine	21.043 \| good	21.683 \| good	1.083 \| good	10.396 \| good	0.181 \| good
2026-03-18T11:00:00.000Z	64 \| moderate	15.968 \| fine	19.962 \| good	24.019 \| good	0.92 \| good	9.776 \| good	0.175 \| good
2026-03-18T12:00:00.000Z	60 \| moderate	14.358 \| fine	17.995 \| good	26.559 \| good	0.862 \| good	8.117 \| good	0.16 \| good
2026-03-18T13:00:00.000Z	58 \| moderate	13.206 \| fine	15.516 \| good	31.975 \| good	0.727 \| good	7.322 \| good	0.156 \| good
2026-03-18T14:00:00.000Z	58 \| moderate	13.04 \| fine	15.677 \| good	34.862 \| good	0.719 \| good	7.232 \| good	0.158 \| good
2026-03-18T15:00:00.000Z	58 \| moderate	12.869 \| fine	15.587 \| good	35.706 \| good	0.732 \| good	8.102 \| good	0.164 \| good
2026-03-18T16:00:00.000Z	58 \| moderate	13.066 \| fine	16.824 \| good	33.851 \| good	0.845 \| good	9.517 \| good	0.17 \| good
2026-03-18T17:00:00.000Z	58 \| moderate	13.479 \| fine	18.915 \| good	30.55 \| good	0.947 \| good	12.305 \| good	0.182 \| good
2026-03-18T18:00:00.000Z	64 \| moderate	16.399 \| fine	21.093 \| good	24.493 \| good	1.08 \| good	17.598 \| good	0.203 \| good
2026-03-18T19:00:00.000Z	67 \| moderate	17.774 \| fine	23.365 \| good	19.451 \| good	1.131 \| good	21.543 \| good	0.216 \| good
2026-03-18T20:00:00.000Z	67 \| moderate	17.785 \| fine	24.656 \| good	14.68 \| good	1.259 \| good	23.033 \| good	0.219 \| good
2026-03-18T21:00:00.000Z	69 \| moderate	18.848 \| fine	24.893 \| good	10.69 \| good	1.358 \| good	25.131 \| good	0.223 \| good
2026-03-18T22:00:00.000Z	71 \| moderate	19.993 \| fine	26.154 \| good	9.034 \| good	1.47 \| good	25.21 \| good	0.221 \| good
2026-03-18T23:00:00.000Z	73 \| moderate	20.965 \| fine	26.417 \| good	7.536 \| good	1.498 \| good	24.031 \| good	0.217 \| good
2026-03-19T00:00:00.000Z	73 \| moderate	20.674 \| fine	24.852 \| good	7.405 \| good	1.373 \| good	21.853 \| good	0.216 \| good
2026-03-19T01:00:00.000Z	71 \| moderate	19.602 \| fine	24.572 \| good	8.441 \| good	0.888 \| good	19.736 \| good	0.212 \| good
2026-03-19T02:00:00.000Z	71 \| moderate	20.071 \| fine	24.236 \| good	9.802 \| good	0.859 \| good	18.048 \| good	0.208 \| good
2026-03-19T03:00:00.000Z	73 \| moderate	20.868 \| fine	24.913 \| good	10.747 \| good	0.909 \| good	17.251 \| good	0.199 \| good
2026-03-19T04:00:00.000Z	73 \| moderate	21.168 \| fine	23.986 \| good	10.991 \| good	0.966 \| good	16.722 \| good	0.194 \| good
2026-03-19T05:00:00.000Z	69 \| moderate	19.322 \| fine	21.803 \| good	10.944 \| good	0.974 \| good	16.749 \| good	0.196 \| good
2026-03-19T06:00:00.000Z	67 \| moderate	18.45 \| fine	20.216 \| good	10.121 \| good	1.051 \| good	17.018 \| good	0.196 \| good
2026-03-19T07:00:00.000Z	69 \| moderate	19.469 \| fine	21.252 \| good	9.905 \| good	1.206 \| good	17.275 \| good	0.194 \| good
2026-03-19T08:00:00.000Z	71 \| moderate	20.255 \| fine	22.241 \| good	13.205 \| good	1.412 \| good	16.716 \| good	0.208 \| good
2026-03-19T09:00:00.000Z	71 \| moderate	19.756 \| fine	22.854 \| good	17.837 \| good	1.441 \| good	15.566 \| good	0.203 \| 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?