What is the current concentration of PM10 in Lymm, Warrington?

The current PM10 concentration at Lymm, Warrington is 8.109 μg/m3.

What is the current concentration of sulfur dioxide (SO2) in Lymm, Warrington?

The current sulfur dioxide (SO2) concentration at Lymm, Warrington is 0.748 ppb.

What is the current concentration of ozone (O3) in Lymm, Warrington?

The current ozone (O3) concentration at Lymm, Warrington is 17.696 ppm.

What is the current concentration of nitrogen dioxide (NO2) in Lymm, Warrington?

The current nitrogen dioxide (NO2) concentration at Lymm, Warrington is 11.611 ppb.

Lymm, Warrington live air quality index now

Q: What is the current concentration of PM2.5 in Lymm, Warrington?

The current PM2.5 concentration at Lymm, Warrington is 4.294 μg/m3.

Stay updated with real-time air quality in Lymm, Warrington 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

Lymm, Warrington

Last updated: ... (Local time)

Major air pollutants in Lymm, Warrington

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

4.29 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

7.92 μg/m³

155

255

425

605+

Ozone (O₃)

14.65 ppb

201

201+

Sulfur Dioxide (SO₂)

0.76 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

20.33 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.05 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

Lymm, Warrington

Get Live Pollen Counts

Lymm, Warrington

Scroll To Air Quality Map

Track live Lymm, Warrington air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-11-09T00:00:00.000Z	56 \| moderate	11.55 \| good	17.177 \| good	11.229 \| good	0.73 \| good	13.617 \| good	0.406 \| good
2025-11-09T01:00:00.000Z	56 \| moderate	12.3 \| fine	18.041 \| good	8.764 \| good	1.013 \| good	11.87 \| good	0.46 \| good
2025-11-09T02:00:00.000Z	60 \| moderate	13.807 \| fine	19.424 \| good	7.596 \| good	0.854 \| good	10.155 \| good	0.442 \| good
2025-11-09T03:00:00.000Z	60 \| moderate	13.807 \| fine	20.362 \| good	7.731 \| good	0.816 \| good	6.889 \| good	0.366 \| good
2025-11-09T04:00:00.000Z	62 \| moderate	14.558 \| fine	20.362 \| good	8.554 \| good	0.679 \| good	4.948 \| good	0.306 \| good
2025-11-09T05:00:00.000Z	62 \| moderate	14.62 \| fine	20.995 \| good	8.58 \| good	0.708 \| good	4.526 \| good	0.298 \| good
2025-11-09T06:00:00.000Z	62 \| moderate	14.62 \| fine	21.061 \| good	9.429 \| good	0.707 \| good	3.614 \| good	0.059 \| good
2025-11-09T07:00:00.000Z	62 \| moderate	14.62 \| fine	21.248 \| good	11.318 \| good	0.705 \| good	3.736 \| good	0.064 \| good
2025-11-09T08:00:00.000Z	62 \| moderate	15.191 \| fine	21.932 \| good	12.084 \| good	0.672 \| good	3.995 \| good	0.081 \| good
2025-11-09T09:00:00.000Z	62 \| moderate	15.191 \| fine	21.995 \| good	12.938 \| good	0.536 \| good	5.012 \| good	0.085 \| good
2025-11-09T10:00:00.000Z	64 \| moderate	15.506 \| fine	22.248 \| good	14.323 \| good	0.594 \| good	4.879 \| good	0.299 \| good
2025-11-09T11:00:00.000Z	64 \| moderate	15.506 \| fine	22.88 \| good	15.075 \| good	0.875 \| good	4.191 \| good	0.055 \| good
2025-11-09T12:00:00.000Z	64 \| moderate	16.077 \| fine	22.818 \| good	15.784 \| good	0.848 \| good	3.974 \| good	0.05 \| good
2025-11-09T13:00:00.000Z	64 \| moderate	16.191 \| fine	22.818 \| good	16.804 \| good	0.616 \| good	4.379 \| good	0.045 \| good
2025-11-09T14:00:00.000Z	64 \| moderate	16.191 \| fine	22.88 \| good	17.132 \| good	0.988 \| good	4.834 \| good	0.043 \| good
2025-11-09T15:00:00.000Z	64 \| moderate	16.253 \| fine	22.123 \| good	17.459 \| good	1.005 \| good	4.604 \| good	0.047 \| good
2025-11-09T16:00:00.000Z	64 \| moderate	16.191 \| fine	22.631 \| good	18.203 \| good	0.677 \| good	5.559 \| good	0.089 \| good
2025-11-09T17:00:00.000Z	64 \| moderate	16.191 \| fine	22.061 \| good	18.58 \| good	0.585 \| good	5.811 \| good	0.41 \| good
2025-11-09T18:00:00.000Z	64 \| moderate	15.62 \| fine	22.061 \| good	19.134 \| good	0.741 \| good	6.08 \| good	0.064 \| good
2025-11-09T19:00:00.000Z	64 \| moderate	15.569 \| fine	21.995 \| good	18.911 \| good	0.619 \| good	6.323 \| good	0.105 \| good
2025-11-09T20:00:00.000Z	64 \| moderate	15.569 \| fine	21.88 \| good	18.581 \| good	0.615 \| good	7.486 \| good	0.564 \| good
2025-11-09T21:00:00.000Z	62 \| moderate	15.264 \| fine	21.067 \| good	18.856 \| good	0.567 \| good	5.256 \| good	0.069 \| good
2025-11-09T22:00:00.000Z	60 \| moderate	14.451 \| fine	20.395 \| good	18.982 \| good	0.524 \| good	4.715 \| good	0.063 \| good
2025-11-09T23:00:00.000Z	58 \| moderate	12.638 \| fine	18.012 \| good	19.629 \| good	0.512 \| good	4.215 \| good	0.05 \| good
2025-11-10T00:00:00.000Z	54 \| moderate	11.251 \| good	16.448 \| good	19.995 \| good	0.627 \| good	3.896 \| good	0.362 \| good
2025-11-10T01:00:00.000Z	52 \| moderate	10.137 \| good	14.878 \| good	20.018 \| good	0.673 \| good	3.333 \| good	0.223 \| good
2025-11-10T02:00:00.000Z	49 \| good	8.817 \| good	13.191 \| good	20.635 \| good	0.942 \| good	2.867 \| good	0.224 \| good
2025-11-10T03:00:00.000Z	44 \| good	7.817 \| good	12.492 \| good	21.337 \| good	1.21 \| good	2.553 \| good	0.249 \| good
2025-11-10T04:00:00.000Z	38 \| good	7.18 \| good	11.554 \| good	22.363 \| good	0.733 \| good	2.42 \| good	0.267 \| good
2025-11-10T05:00:00.000Z	38 \| good	7.118 \| good	11.492 \| good	23.15 \| good	0.909 \| good	2.004 \| good	0.243 \| good
2025-11-10T06:00:00.000Z	33 \| good	6.18 \| good	10.741 \| good	24.103 \| good	0.979 \| good	2.137 \| good	0.044 \| good
2025-11-10T07:00:00.000Z	33 \| good	6.18 \| good	10.679 \| good	23.912 \| good	0.664 \| good	4.227 \| good	0.049 \| good
2025-11-10T08:00:00.000Z	33 \| good	6.118 \| good	10.492 \| good	23.29 \| good	0.589 \| good	5.737 \| good	0.04 \| good
2025-11-10T09:00:00.000Z	33 \| good	5.547 \| good	9.807 \| good	22.617 \| good	0.694 \| good	7.07 \| good	0.054 \| good
2025-11-10T10:00:00.000Z	27 \| good	5.433 \| good	9.745 \| good	22.86 \| good	0.763 \| good	7.797 \| good	0.062 \| good
2025-11-10T11:00:00.000Z	27 \| good	5.246 \| good	9.679 \| good	23.075 \| good	0.977 \| good	5.706 \| good	0.053 \| good
2025-11-10T12:00:00.000Z	27 \| good	5.18 \| good	9.679 \| good	22.139 \| good	0.992 \| good	5.8 \| good	0.054 \| good
2025-11-10T13:00:00.000Z	27 \| good	5.118 \| good	9.109 \| good	21.704 \| good	0.819 \| good	5.916 \| good	0.052 \| good
2025-11-10T14:00:00.000Z	27 \| good	4.547 \| good	8.807 \| good	21.169 \| good	1.599 \| good	6.124 \| good	0.058 \| good
2025-11-10T15:00:00.000Z	27 \| good	4.547 \| good	8.807 \| good	21.378 \| good	0.771 \| good	8.071 \| good	0.061 \| good
2025-11-10T16:00:00.000Z	27 \| good	4.547 \| good	8.745 \| good	21.223 \| good	0.668 \| good	9.541 \| good	0.054 \| good
2025-11-10T17:00:00.000Z	27 \| good	4.547 \| good	8.859 \| good	19.392 \| good	1.071 \| good	12.052 \| good	0.062 \| good
2025-11-10T18:00:00.000Z	27 \| good	4.547 \| good	8.859 \| good	19.126 \| good	0.963 \| good	12.649 \| good	0.064 \| good
2025-11-10T19:00:00.000Z	22 \| good	4.481 \| good	8.859 \| good	18.197 \| good	0.695 \| good	10.085 \| good	0.057 \| good
2025-11-10T20:00:00.000Z	22 \| good	4.294 \| good	8.109 \| good	17.696 \| good	0.748 \| good	11.611 \| good	0.054 \| good
2025-11-10T21:00:00.000Z	22 \| good	4.294 \| good	7.922 \| good	16.041 \| good	0.75 \| good	16.722 \| good	0.052 \| good
2025-11-10T22:00:00.000Z	22 \| good	4.294 \| good	7.922 \| good	14.646 \| good	0.763 \| good	20.333 \| good	0.046 \| good
2025-11-10T23:00:00.000Z	22 \| good	4.294 \| good	8.036 \| good	13.871 \| good	0.637 \| good	12.991 \| good	0.053 \| good
2025-11-10T23:00:00.000Z	22 \| good	4.294 \| good	7.922 \| good	14.646 \| good	0.763 \| good	20.333 \| good	0.046 \| good
2025-11-10T21:00:00.000Z	49 \| good	9.214 \| good	11.613 \| good	17.198 \| good	1.168 \| good	12.593 \| good	0.147 \| good
2025-11-10T22:00:00.000Z	49 \| good	8.509 \| good	10.705 \| good	17.567 \| good	1.002 \| good	10.784 \| good	0.142 \| good
2025-11-10T23:00:00.000Z	44 \| good	7.604 \| good	9.571 \| good	18.717 \| good	0.672 \| good	8.76 \| good	0.129 \| good
2025-11-11T00:00:00.000Z	33 \| good	6.205 \| good	8.035 \| good	21.753 \| good	0.402 \| good	5.843 \| good	0.125 \| good
2025-11-11T01:00:00.000Z	27 \| good	5.044 \| good	7.082 \| good	22.233 \| good	0.284 \| good	3.945 \| good	0.12 \| good
2025-11-11T02:00:00.000Z	27 \| good	4.647 \| good	6.657 \| good	23.697 \| good	0.219 \| good	2.959 \| good	0.116 \| good
2025-11-11T03:00:00.000Z	27 \| good	4.665 \| good	6.706 \| good	23.678 \| good	0.193 \| good	2.788 \| good	0.116 \| good
2025-11-11T04:00:00.000Z	23 \| good	4.472 \| good	7.254 \| good	24.504 \| good	0.176 \| good	2.263 \| good	0.116 \| good
2025-11-11T05:00:00.000Z	27 \| good	4.531 \| good	7.184 \| good	24.645 \| good	0.188 \| good	2.224 \| good	0.12 \| good
2025-11-11T06:00:00.000Z	23 \| good	4.31 \| good	6.79 \| good	24.605 \| good	0.261 \| good	3.061 \| good	0.126 \| good
2025-11-11T07:00:00.000Z	23 \| good	3.961 \| good	6.23 \| good	25.245 \| good	0.257 \| good	4.306 \| good	0.125 \| good
2025-11-11T08:00:00.000Z	24 \| good	3.725 \| good	6.042 \| good	25.578 \| good	0.257 \| good	5.768 \| good	0.123 \| good
2025-11-11T09:00:00.000Z	24 \| good	3.705 \| good	6.546 \| good	26.389 \| good	0.271 \| good	5.761 \| good	0.12 \| good
2025-11-11T10:00:00.000Z	30 \| good	4.144 \| good	6.431 \| good	31.653 \| good	0.247 \| good	4.625 \| good	0.118 \| good
2025-11-11T11:00:00.000Z	33 \| good	4.295 \| good	6.861 \| good	36.332 \| good	0.244 \| good	3.501 \| good	0.115 \| good
2025-11-11T12:00:00.000Z	36 \| good	3.853 \| good	7.074 \| good	38.947 \| good	0.194 \| good	3.14 \| good	0.114 \| good
2025-11-11T13:00:00.000Z	37 \| good	3.916 \| good	7.066 \| good	39.697 \| good	0.179 \| good	3.006 \| good	0.112 \| good
2025-11-11T14:00:00.000Z	36 \| good	4.604 \| good	6.714 \| good	38.752 \| good	0.17 \| good	3.005 \| good	0.112 \| good
2025-11-11T15:00:00.000Z	34 \| good	3.909 \| good	7.152 \| good	37.172 \| good	0.17 \| good	3.193 \| good	0.114 \| good
2025-11-11T16:00:00.000Z	33 \| good	3.927 \| good	7.331 \| good	35.718 \| good	0.174 \| good	3.931 \| good	0.115 \| good
2025-11-11T17:00:00.000Z	31 \| good	4.122 \| good	6.929 \| good	33.868 \| good	0.188 \| good	4.44 \| good	0.117 \| good
2025-11-11T18:00:00.000Z	32 \| good	4.86 \| good	6.233 \| good	34.653 \| good	0.204 \| good	4.78 \| good	0.117 \| good
2025-11-11T19:00:00.000Z	32 \| good	4.276 \| good	5.557 \| good	34.561 \| good	0.209 \| good	4.48 \| good	0.115 \| good
2025-11-11T20:00:00.000Z	31 \| good	3.398 \| good	4.458 \| good	34.027 \| good	0.226 \| good	3.838 \| good	0.113 \| good
2025-11-11T21:00:00.000Z	31 \| good	2.996 \| good	3.983 \| good	32.902 \| good	0.219 \| good	3.375 \| good	0.111 \| good
2025-11-11T22:00:00.000Z	30 \| good	2.862 \| good	3.872 \| good	32.358 \| good	0.213 \| good	2.876 \| good	0.111 \| good
2025-11-11T23:00:00.000Z	30 \| good	2.861 \| good	3.578 \| good	32.328 \| good	0.192 \| good	2.855 \| good	0.111 \| good
2025-11-12T00:00:00.000Z	29 \| good	2.687 \| good	3.446 \| good	31.397 \| good	0.15 \| good	2.595 \| good	0.107 \| good
2025-11-12T01:00:00.000Z	30 \| good	2.738 \| good	3.504 \| good	32.301 \| good	0.14 \| good	2.28 \| good	0.105 \| good
2025-11-12T02:00:00.000Z	29 \| good	2.559 \| good	3.395 \| good	31.429 \| good	0.136 \| good	2.051 \| good	0.102 \| good
2025-11-12T03:00:00.000Z	30 \| good	2.14 \| good	3.312 \| good	32.02 \| good	0.137 \| good	1.838 \| good	0.102 \| good
2025-11-12T04:00:00.000Z	29 \| good	2.247 \| good	4.009 \| good	31.302 \| good	0.152 \| good	1.887 \| good	0.101 \| good
2025-11-12T05:00:00.000Z	28 \| good	2.603 \| good	4.935 \| good	30.369 \| good	0.166 \| good	1.845 \| good	0.103 \| good
2025-11-12T06:00:00.000Z	27 \| good	3.062 \| good	5.55 \| good	29.234 \| good	0.197 \| good	2.138 \| good	0.104 \| good
2025-11-12T07:00:00.000Z	24 \| good	3.598 \| good	6.897 \| good	26.373 \| good	0.31 \| good	4.352 \| good	0.107 \| good
2025-11-12T08:00:00.000Z	22 \| good	4.055 \| good	7.647 \| good	21.878 \| good	0.396 \| good	9.047 \| good	0.113 \| good
2025-11-12T09:00:00.000Z	22 \| good	4.324 \| good	7.616 \| good	19.405 \| good	0.454 \| good	10.451 \| good	0.123 \| good
2025-11-12T10:00:00.000Z	22 \| good	4.442 \| good	7.953 \| good	20.478 \| good	0.459 \| good	8.924 \| good	0.124 \| good
2025-11-12T11:00:00.000Z	22 \| good	4.037 \| good	7.977 \| good	23.24 \| good	0.501 \| good	7.991 \| good	0.123 \| good
2025-11-12T12:00:00.000Z	22 \| good	4.036 \| good	7.949 \| good	23.641 \| good	0.492 \| good	7.788 \| good	0.12 \| good
2025-11-12T13:00:00.000Z	22 \| good	3.795 \| good	6.782 \| good	24.301 \| good	0.436 \| good	8.144 \| good	0.121 \| good
2025-11-12T14:00:00.000Z	22 \| good	3.685 \| good	5.803 \| good	23.066 \| good	0.44 \| good	8.985 \| good	0.123 \| good
2025-11-12T15:00:00.000Z	22 \| good	3.544 \| good	6.304 \| good	22.441 \| good	0.467 \| good	11.762 \| good	0.128 \| good
2025-11-12T16:00:00.000Z	22 \| good	3.936 \| good	6.704 \| good	16.899 \| good	0.527 \| good	15.542 \| good	0.137 \| good
2025-11-12T17:00:00.000Z	27 \| good	5.213 \| good	7.006 \| good	13.433 \| good	0.486 \| good	19.593 \| good	0.148 \| good
2025-11-12T18:00:00.000Z	33 \| good	5.602 \| good	7.121 \| good	10.865 \| good	0.474 \| good	21.644 \| good	0.157 \| good
2025-11-12T19:00:00.000Z	33 \| good	5.546 \| good	6.331 \| good	12.984 \| good	0.481 \| good	18.456 \| good	0.146 \| good
2025-11-12T20:00:00.000Z	27 \| good	5.371 \| good	6.076 \| good	19.236 \| good	0.442 \| good	12.056 \| good	0.131 \| good

Lymm

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Lymm, Warrington air quality map: Track AQI near you

0.05ppm

How accurate is Warrington, UK air quality data?

Air quality data and pollutant measurements for Warrington, UK adhere to strict US EPA standards. The data is collected from multiple reliable sources, including satellites and ground-based monitoring stations. This data is further analyzed and enhanced using machine learning and advanced algorithms that factor in elements such as traffic and population density, ensuring accurate and reliable results.

Source: Ambee Data Sources

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Frequently asked questions

How often is the air quality data for Lymm, Warrington updated?

The air quality for Lymm, Warrington is updated every hour.

When was the worst air quality at Lymm, Warrington in the last 24 hrs?

The worst air quality in Lymm, Warrington in the last 24 hours was observed at 08:00:00 on 2025-11-09.

When was the best air quality at Lymm, Warrington in the last 24 hrs?

In the last 24 hrs, the best air quality in Lymm, Warrington was observed at 07:00:00 on 2025-11-10.

What is the current air quality in Lymm, Warrington?

The current air quality in Lymm, Warrington is 22, categorized as Good based on real-time data.

What pollutant is the most common in Lymm, Warrington?

The most common pollutant in Lymm, Warrington is PM2.5.

What should I do if the air quality in Lymm, Warrington is poor?

If the air quality in Lymm, Warrington is poor, consider staying indoors and wearing a mask to protect yourself.

What is the current concentration of PM_2.5 in Lymm, Warrington?

The current PM_2.5 concentration at Lymm, Warrington is 4.294 μg/m³.

What is the current concentration of PM₁₀ in Lymm, Warrington?

The current PM₁₀ concentration at Lymm, Warrington is 8.109 μg/m³.

What is the current concentration of carbon monoxide (CO) in Lymm, Warrington?

The current carbon monoxide (CO) concentration at Lymm, Warrington is 0.054 ppm.

What is the current concentration of sulfur dioxide (SO₂) in Lymm, Warrington?

The current sulfur dioxide (SO₂) concentration at Lymm, Warrington is 0.748 ppb.

What is the current concentration of ozone (O₃) in Lymm, Warrington?

The current ozone (O₃) concentration at Lymm, Warrington is 17.696 ppm.

What is the current concentration of nitrogen dioxide (NO₂) in Lymm, Warrington?

The current nitrogen dioxide (NO₂) concentration at Lymm, Warrington is 11.611 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-11-09T00:00:00.000Z	56 \| moderate	11.55 \| good	17.177 \| good	11.229 \| good	0.73 \| good	13.617 \| good	0.406 \| good
2025-11-09T01:00:00.000Z	56 \| moderate	12.3 \| fine	18.041 \| good	8.764 \| good	1.013 \| good	11.87 \| good	0.46 \| good
2025-11-09T02:00:00.000Z	60 \| moderate	13.807 \| fine	19.424 \| good	7.596 \| good	0.854 \| good	10.155 \| good	0.442 \| good
2025-11-09T03:00:00.000Z	60 \| moderate	13.807 \| fine	20.362 \| good	7.731 \| good	0.816 \| good	6.889 \| good	0.366 \| good
2025-11-09T04:00:00.000Z	62 \| moderate	14.558 \| fine	20.362 \| good	8.554 \| good	0.679 \| good	4.948 \| good	0.306 \| good
2025-11-09T05:00:00.000Z	62 \| moderate	14.62 \| fine	20.995 \| good	8.58 \| good	0.708 \| good	4.526 \| good	0.298 \| good
2025-11-09T06:00:00.000Z	62 \| moderate	14.62 \| fine	21.061 \| good	9.429 \| good	0.707 \| good	3.614 \| good	0.059 \| good
2025-11-09T07:00:00.000Z	62 \| moderate	14.62 \| fine	21.248 \| good	11.318 \| good	0.705 \| good	3.736 \| good	0.064 \| good
2025-11-09T08:00:00.000Z	62 \| moderate	15.191 \| fine	21.932 \| good	12.084 \| good	0.672 \| good	3.995 \| good	0.081 \| good
2025-11-09T09:00:00.000Z	62 \| moderate	15.191 \| fine	21.995 \| good	12.938 \| good	0.536 \| good	5.012 \| good	0.085 \| good
2025-11-09T10:00:00.000Z	64 \| moderate	15.506 \| fine	22.248 \| good	14.323 \| good	0.594 \| good	4.879 \| good	0.299 \| good
2025-11-09T11:00:00.000Z	64 \| moderate	15.506 \| fine	22.88 \| good	15.075 \| good	0.875 \| good	4.191 \| good	0.055 \| good
2025-11-09T12:00:00.000Z	64 \| moderate	16.077 \| fine	22.818 \| good	15.784 \| good	0.848 \| good	3.974 \| good	0.05 \| good
2025-11-09T13:00:00.000Z	64 \| moderate	16.191 \| fine	22.818 \| good	16.804 \| good	0.616 \| good	4.379 \| good	0.045 \| good
2025-11-09T14:00:00.000Z	64 \| moderate	16.191 \| fine	22.88 \| good	17.132 \| good	0.988 \| good	4.834 \| good	0.043 \| good
2025-11-09T15:00:00.000Z	64 \| moderate	16.253 \| fine	22.123 \| good	17.459 \| good	1.005 \| good	4.604 \| good	0.047 \| good
2025-11-09T16:00:00.000Z	64 \| moderate	16.191 \| fine	22.631 \| good	18.203 \| good	0.677 \| good	5.559 \| good	0.089 \| good
2025-11-09T17:00:00.000Z	64 \| moderate	16.191 \| fine	22.061 \| good	18.58 \| good	0.585 \| good	5.811 \| good	0.41 \| good
2025-11-09T18:00:00.000Z	64 \| moderate	15.62 \| fine	22.061 \| good	19.134 \| good	0.741 \| good	6.08 \| good	0.064 \| good
2025-11-09T19:00:00.000Z	64 \| moderate	15.569 \| fine	21.995 \| good	18.911 \| good	0.619 \| good	6.323 \| good	0.105 \| good
2025-11-09T20:00:00.000Z	64 \| moderate	15.569 \| fine	21.88 \| good	18.581 \| good	0.615 \| good	7.486 \| good	0.564 \| good
2025-11-09T21:00:00.000Z	62 \| moderate	15.264 \| fine	21.067 \| good	18.856 \| good	0.567 \| good	5.256 \| good	0.069 \| good
2025-11-09T22:00:00.000Z	60 \| moderate	14.451 \| fine	20.395 \| good	18.982 \| good	0.524 \| good	4.715 \| good	0.063 \| good
2025-11-09T23:00:00.000Z	58 \| moderate	12.638 \| fine	18.012 \| good	19.629 \| good	0.512 \| good	4.215 \| good	0.05 \| good
2025-11-10T00:00:00.000Z	54 \| moderate	11.251 \| good	16.448 \| good	19.995 \| good	0.627 \| good	3.896 \| good	0.362 \| good
2025-11-10T01:00:00.000Z	52 \| moderate	10.137 \| good	14.878 \| good	20.018 \| good	0.673 \| good	3.333 \| good	0.223 \| good
2025-11-10T02:00:00.000Z	49 \| good	8.817 \| good	13.191 \| good	20.635 \| good	0.942 \| good	2.867 \| good	0.224 \| good
2025-11-10T03:00:00.000Z	44 \| good	7.817 \| good	12.492 \| good	21.337 \| good	1.21 \| good	2.553 \| good	0.249 \| good
2025-11-10T04:00:00.000Z	38 \| good	7.18 \| good	11.554 \| good	22.363 \| good	0.733 \| good	2.42 \| good	0.267 \| good
2025-11-10T05:00:00.000Z	38 \| good	7.118 \| good	11.492 \| good	23.15 \| good	0.909 \| good	2.004 \| good	0.243 \| good
2025-11-10T06:00:00.000Z	33 \| good	6.18 \| good	10.741 \| good	24.103 \| good	0.979 \| good	2.137 \| good	0.044 \| good
2025-11-10T07:00:00.000Z	33 \| good	6.18 \| good	10.679 \| good	23.912 \| good	0.664 \| good	4.227 \| good	0.049 \| good
2025-11-10T08:00:00.000Z	33 \| good	6.118 \| good	10.492 \| good	23.29 \| good	0.589 \| good	5.737 \| good	0.04 \| good
2025-11-10T09:00:00.000Z	33 \| good	5.547 \| good	9.807 \| good	22.617 \| good	0.694 \| good	7.07 \| good	0.054 \| good
2025-11-10T10:00:00.000Z	27 \| good	5.433 \| good	9.745 \| good	22.86 \| good	0.763 \| good	7.797 \| good	0.062 \| good
2025-11-10T11:00:00.000Z	27 \| good	5.246 \| good	9.679 \| good	23.075 \| good	0.977 \| good	5.706 \| good	0.053 \| good
2025-11-10T12:00:00.000Z	27 \| good	5.18 \| good	9.679 \| good	22.139 \| good	0.992 \| good	5.8 \| good	0.054 \| good
2025-11-10T13:00:00.000Z	27 \| good	5.118 \| good	9.109 \| good	21.704 \| good	0.819 \| good	5.916 \| good	0.052 \| good
2025-11-10T14:00:00.000Z	27 \| good	4.547 \| good	8.807 \| good	21.169 \| good	1.599 \| good	6.124 \| good	0.058 \| good
2025-11-10T15:00:00.000Z	27 \| good	4.547 \| good	8.807 \| good	21.378 \| good	0.771 \| good	8.071 \| good	0.061 \| good
2025-11-10T16:00:00.000Z	27 \| good	4.547 \| good	8.745 \| good	21.223 \| good	0.668 \| good	9.541 \| good	0.054 \| good
2025-11-10T17:00:00.000Z	27 \| good	4.547 \| good	8.859 \| good	19.392 \| good	1.071 \| good	12.052 \| good	0.062 \| good
2025-11-10T18:00:00.000Z	27 \| good	4.547 \| good	8.859 \| good	19.126 \| good	0.963 \| good	12.649 \| good	0.064 \| good
2025-11-10T19:00:00.000Z	22 \| good	4.481 \| good	8.859 \| good	18.197 \| good	0.695 \| good	10.085 \| good	0.057 \| good
2025-11-10T20:00:00.000Z	22 \| good	4.294 \| good	8.109 \| good	17.696 \| good	0.748 \| good	11.611 \| good	0.054 \| good
2025-11-10T21:00:00.000Z	22 \| good	4.294 \| good	7.922 \| good	16.041 \| good	0.75 \| good	16.722 \| good	0.052 \| good
2025-11-10T22:00:00.000Z	22 \| good	4.294 \| good	7.922 \| good	14.646 \| good	0.763 \| good	20.333 \| good	0.046 \| good
2025-11-10T23:00:00.000Z	22 \| good	4.294 \| good	8.036 \| good	13.871 \| good	0.637 \| good	12.991 \| good	0.053 \| good
2025-11-10T23:00:00.000Z	22 \| good	4.294 \| good	7.922 \| good	14.646 \| good	0.763 \| good	20.333 \| good	0.046 \| good
2025-11-10T21:00:00.000Z	49 \| good	9.214 \| good	11.613 \| good	17.198 \| good	1.168 \| good	12.593 \| good	0.147 \| good
2025-11-10T22:00:00.000Z	49 \| good	8.509 \| good	10.705 \| good	17.567 \| good	1.002 \| good	10.784 \| good	0.142 \| good
2025-11-10T23:00:00.000Z	44 \| good	7.604 \| good	9.571 \| good	18.717 \| good	0.672 \| good	8.76 \| good	0.129 \| good
2025-11-11T00:00:00.000Z	33 \| good	6.205 \| good	8.035 \| good	21.753 \| good	0.402 \| good	5.843 \| good	0.125 \| good
2025-11-11T01:00:00.000Z	27 \| good	5.044 \| good	7.082 \| good	22.233 \| good	0.284 \| good	3.945 \| good	0.12 \| good
2025-11-11T02:00:00.000Z	27 \| good	4.647 \| good	6.657 \| good	23.697 \| good	0.219 \| good	2.959 \| good	0.116 \| good
2025-11-11T03:00:00.000Z	27 \| good	4.665 \| good	6.706 \| good	23.678 \| good	0.193 \| good	2.788 \| good	0.116 \| good
2025-11-11T04:00:00.000Z	23 \| good	4.472 \| good	7.254 \| good	24.504 \| good	0.176 \| good	2.263 \| good	0.116 \| good
2025-11-11T05:00:00.000Z	27 \| good	4.531 \| good	7.184 \| good	24.645 \| good	0.188 \| good	2.224 \| good	0.12 \| good
2025-11-11T06:00:00.000Z	23 \| good	4.31 \| good	6.79 \| good	24.605 \| good	0.261 \| good	3.061 \| good	0.126 \| good
2025-11-11T07:00:00.000Z	23 \| good	3.961 \| good	6.23 \| good	25.245 \| good	0.257 \| good	4.306 \| good	0.125 \| good
2025-11-11T08:00:00.000Z	24 \| good	3.725 \| good	6.042 \| good	25.578 \| good	0.257 \| good	5.768 \| good	0.123 \| good
2025-11-11T09:00:00.000Z	24 \| good	3.705 \| good	6.546 \| good	26.389 \| good	0.271 \| good	5.761 \| good	0.12 \| good
2025-11-11T10:00:00.000Z	30 \| good	4.144 \| good	6.431 \| good	31.653 \| good	0.247 \| good	4.625 \| good	0.118 \| good
2025-11-11T11:00:00.000Z	33 \| good	4.295 \| good	6.861 \| good	36.332 \| good	0.244 \| good	3.501 \| good	0.115 \| good
2025-11-11T12:00:00.000Z	36 \| good	3.853 \| good	7.074 \| good	38.947 \| good	0.194 \| good	3.14 \| good	0.114 \| good
2025-11-11T13:00:00.000Z	37 \| good	3.916 \| good	7.066 \| good	39.697 \| good	0.179 \| good	3.006 \| good	0.112 \| good
2025-11-11T14:00:00.000Z	36 \| good	4.604 \| good	6.714 \| good	38.752 \| good	0.17 \| good	3.005 \| good	0.112 \| good
2025-11-11T15:00:00.000Z	34 \| good	3.909 \| good	7.152 \| good	37.172 \| good	0.17 \| good	3.193 \| good	0.114 \| good
2025-11-11T16:00:00.000Z	33 \| good	3.927 \| good	7.331 \| good	35.718 \| good	0.174 \| good	3.931 \| good	0.115 \| good
2025-11-11T17:00:00.000Z	31 \| good	4.122 \| good	6.929 \| good	33.868 \| good	0.188 \| good	4.44 \| good	0.117 \| good
2025-11-11T18:00:00.000Z	32 \| good	4.86 \| good	6.233 \| good	34.653 \| good	0.204 \| good	4.78 \| good	0.117 \| good
2025-11-11T19:00:00.000Z	32 \| good	4.276 \| good	5.557 \| good	34.561 \| good	0.209 \| good	4.48 \| good	0.115 \| good
2025-11-11T20:00:00.000Z	31 \| good	3.398 \| good	4.458 \| good	34.027 \| good	0.226 \| good	3.838 \| good	0.113 \| good
2025-11-11T21:00:00.000Z	31 \| good	2.996 \| good	3.983 \| good	32.902 \| good	0.219 \| good	3.375 \| good	0.111 \| good
2025-11-11T22:00:00.000Z	30 \| good	2.862 \| good	3.872 \| good	32.358 \| good	0.213 \| good	2.876 \| good	0.111 \| good
2025-11-11T23:00:00.000Z	30 \| good	2.861 \| good	3.578 \| good	32.328 \| good	0.192 \| good	2.855 \| good	0.111 \| good
2025-11-12T00:00:00.000Z	29 \| good	2.687 \| good	3.446 \| good	31.397 \| good	0.15 \| good	2.595 \| good	0.107 \| good
2025-11-12T01:00:00.000Z	30 \| good	2.738 \| good	3.504 \| good	32.301 \| good	0.14 \| good	2.28 \| good	0.105 \| good
2025-11-12T02:00:00.000Z	29 \| good	2.559 \| good	3.395 \| good	31.429 \| good	0.136 \| good	2.051 \| good	0.102 \| good
2025-11-12T03:00:00.000Z	30 \| good	2.14 \| good	3.312 \| good	32.02 \| good	0.137 \| good	1.838 \| good	0.102 \| good
2025-11-12T04:00:00.000Z	29 \| good	2.247 \| good	4.009 \| good	31.302 \| good	0.152 \| good	1.887 \| good	0.101 \| good
2025-11-12T05:00:00.000Z	28 \| good	2.603 \| good	4.935 \| good	30.369 \| good	0.166 \| good	1.845 \| good	0.103 \| good
2025-11-12T06:00:00.000Z	27 \| good	3.062 \| good	5.55 \| good	29.234 \| good	0.197 \| good	2.138 \| good	0.104 \| good
2025-11-12T07:00:00.000Z	24 \| good	3.598 \| good	6.897 \| good	26.373 \| good	0.31 \| good	4.352 \| good	0.107 \| good
2025-11-12T08:00:00.000Z	22 \| good	4.055 \| good	7.647 \| good	21.878 \| good	0.396 \| good	9.047 \| good	0.113 \| good
2025-11-12T09:00:00.000Z	22 \| good	4.324 \| good	7.616 \| good	19.405 \| good	0.454 \| good	10.451 \| good	0.123 \| good
2025-11-12T10:00:00.000Z	22 \| good	4.442 \| good	7.953 \| good	20.478 \| good	0.459 \| good	8.924 \| good	0.124 \| good
2025-11-12T11:00:00.000Z	22 \| good	4.037 \| good	7.977 \| good	23.24 \| good	0.501 \| good	7.991 \| good	0.123 \| good
2025-11-12T12:00:00.000Z	22 \| good	4.036 \| good	7.949 \| good	23.641 \| good	0.492 \| good	7.788 \| good	0.12 \| good
2025-11-12T13:00:00.000Z	22 \| good	3.795 \| good	6.782 \| good	24.301 \| good	0.436 \| good	8.144 \| good	0.121 \| good
2025-11-12T14:00:00.000Z	22 \| good	3.685 \| good	5.803 \| good	23.066 \| good	0.44 \| good	8.985 \| good	0.123 \| good
2025-11-12T15:00:00.000Z	22 \| good	3.544 \| good	6.304 \| good	22.441 \| good	0.467 \| good	11.762 \| good	0.128 \| good
2025-11-12T16:00:00.000Z	22 \| good	3.936 \| good	6.704 \| good	16.899 \| good	0.527 \| good	15.542 \| good	0.137 \| good
2025-11-12T17:00:00.000Z	27 \| good	5.213 \| good	7.006 \| good	13.433 \| good	0.486 \| good	19.593 \| good	0.148 \| good
2025-11-12T18:00:00.000Z	33 \| good	5.602 \| good	7.121 \| good	10.865 \| good	0.474 \| good	21.644 \| good	0.157 \| good
2025-11-12T19:00:00.000Z	33 \| good	5.546 \| good	6.331 \| good	12.984 \| good	0.481 \| good	18.456 \| good	0.146 \| good
2025-11-12T20:00:00.000Z	27 \| good	5.371 \| good	6.076 \| good	19.236 \| good	0.442 \| good	12.056 \| good	0.131 \| good

Lymm, Warrington live air quality index now

Major air pollutants in Lymm, Warrington

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

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Lymm, Warrington air quality map: Track AQI near you

Air quality in nearby cities

Irlam, Greater Manchester

Altrincham, Greater Manchester

Hale, Greater Manchester

Urmston, Greater Manchester

Sale, Greater Manchester

Knutsford, Cheshire East

How accurate is Warrington, UK air quality data?

Air quality levels in UK

Frequently asked questions

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What is the current air quality in Lymm, Warrington?

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What is the current concentration of PM2.5 in Lymm, Warrington?

What is the current concentration of PM10 in Lymm, Warrington?

What is the current concentration of carbon monoxide (CO) in Lymm, Warrington?

What is the current concentration of sulfur dioxide (SO2) in Lymm, Warrington?

What is the current concentration of ozone (O3) in Lymm, Warrington?

What is the current concentration of nitrogen dioxide (NO2) in Lymm, Warrington?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What is the current concentration of PM_2.5 in Lymm, Warrington?

What is the current concentration of PM₁₀ in Lymm, Warrington?

What is the current concentration of sulfur dioxide (SO₂) in Lymm, Warrington?

What is the current concentration of ozone (O₃) in Lymm, Warrington?

What is the current concentration of nitrogen dioxide (NO₂) in Lymm, Warrington?