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

The current PM10 concentration at Lymm, Warrington is 7.275 μg/m3.

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

The current sulfur dioxide (SO2) concentration at Lymm, Warrington is 1.176 ppb.

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

The current ozone (O3) concentration at Lymm, Warrington is 22.899 ppm.

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

The current nitrogen dioxide (NO2) concentration at Lymm, Warrington is 4.915 ppb.

Lymm, Warrington live air quality index now

Name: Live air pollution levels in Lymm, Warrington today
Creator: Ambee

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)

1.99 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

5.54 μg/m³

155

255

425

605+

Ozone (O₃)

26.12 ppb

201

201+

Sulfur Dioxide (SO₂)

0.38 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

4.46 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.25 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
2025-09-16T04:00:00.000Z	28 \| good	3.872 \| good	9.535 \| good	30.465 \| good	0.511 \| good	1.111 \| good	0.268 \| good
2025-09-16T05:00:00.000Z	28 \| good	3.872 \| good	9.649 \| good	30.446 \| good	0.382 \| good	0.836 \| good	0.271 \| good
2025-09-16T06:00:00.000Z	28 \| good	3.872 \| good	10.219 \| good	29.756 \| good	0.382 \| good	0.859 \| good	0.103 \| good
2025-09-16T07:00:00.000Z	27 \| good	3.872 \| good	10.219 \| good	29.254 \| good	0.382 \| good	1.412 \| good	0.11 \| good
2025-09-16T08:00:00.000Z	27 \| good	3.872 \| good	10.285 \| good	29.119 \| good	0.479 \| good	1.89 \| good	0.102 \| good
2025-09-16T09:00:00.000Z	27 \| good	3.986 \| good	10.462 \| good	29.17 \| good	0.419 \| good	3.329 \| good	0.097 \| good
2025-09-16T10:00:00.000Z	27 \| good	4.556 \| good	10.462 \| good	29.361 \| good	0.42 \| good	2.646 \| good	0.114 \| good
2025-09-16T11:00:00.000Z	28 \| good	4.556 \| good	10.462 \| good	29.542 \| good	0.436 \| good	1.766 \| good	0.093 \| good
2025-09-16T12:00:00.000Z	27 \| good	4.556 \| good	10.51 \| good	29.497 \| good	0.48 \| good	2.038 \| good	0.086 \| good
2025-09-16T13:00:00.000Z	27 \| good	4.556 \| good	11.267 \| good	29.319 \| good	0.508 \| good	2.124 \| good	0.083 \| good
2025-09-16T14:00:00.000Z	28 \| good	4.619 \| good	11.33 \| good	29.682 \| good	0.382 \| good	1.635 \| good	0.085 \| good
2025-09-16T15:00:00.000Z	28 \| good	4.619 \| good	11.33 \| good	29.698 \| good	0.541 \| good	1.782 \| good	0.087 \| good
2025-09-16T16:00:00.000Z	28 \| good	4.619 \| good	11.33 \| good	30.46 \| good	0.384 \| good	1.852 \| good	0.082 \| good
2025-09-16T17:00:00.000Z	29 \| good	4.619 \| good	11.33 \| good	31.126 \| good	0.384 \| good	1.735 \| good	0.083 \| good
2025-09-16T18:00:00.000Z	29 \| good	4.619 \| good	11.33 \| good	31.499 \| good	0.384 \| good	2.54 \| good	0.091 \| good
2025-09-16T19:00:00.000Z	30 \| good	4.432 \| good	10.76 \| good	31.94 \| good	0.384 \| good	2.706 \| good	0.096 \| good
2025-09-16T20:00:00.000Z	29 \| good	4.432 \| good	10.76 \| good	31.283 \| good	0.387 \| good	5.285 \| good	0.095 \| good
2025-09-16T21:00:00.000Z	28 \| good	4.432 \| good	10.646 \| good	30.473 \| good	0.382 \| good	8.962 \| good	0.096 \| good
2025-09-16T22:00:00.000Z	26 \| good	3.862 \| good	10.646 \| good	27.695 \| good	0.382 \| good	10.599 \| good	0.079 \| good
2025-09-16T23:00:00.000Z	24 \| good	3.862 \| good	10.646 \| good	26.091 \| good	0.382 \| good	6.63 \| good	0.081 \| good
2025-09-17T00:00:00.000Z	23 \| good	3.983 \| good	10.392 \| good	24.636 \| good	0.391 \| good	4.677 \| good	0.285 \| good
2025-09-17T01:00:00.000Z	22 \| good	3.983 \| good	10.392 \| good	23.11 \| good	0.44 \| good	4.391 \| good	0.339 \| good
2025-09-17T02:00:00.000Z	22 \| good	3.983 \| good	10.278 \| good	21.208 \| good	0.503 \| good	3.719 \| good	0.247 \| good
2025-09-17T03:00:00.000Z	22 \| good	3.983 \| good	10.278 \| good	21.007 \| good	0.519 \| good	3.719 \| good	0.243 \| good
2025-09-17T04:00:00.000Z	22 \| good	3.733 \| good	9.455 \| good	18.879 \| good	0.533 \| good	1.997 \| good	0.242 \| good
2025-09-17T05:00:00.000Z	22 \| good	3.733 \| good	9.455 \| good	18.947 \| good	0.382 \| good	2.793 \| good	0.25 \| good
2025-09-17T06:00:00.000Z	22 \| good	3.619 \| good	9.278 \| good	20.326 \| good	0.382 \| good	3.343 \| good	0.079 \| good
2025-09-17T07:00:00.000Z	22 \| good	3.619 \| good	9.212 \| good	20.376 \| good	0.382 \| good	4.741 \| good	0.086 \| good
2025-09-17T08:00:00.000Z	19 \| good	3.049 \| good	9.025 \| good	21.233 \| good	0.552 \| good	5.924 \| good	0.081 \| good
2025-09-17T09:00:00.000Z	20 \| good	3.049 \| good	8.341 \| good	21.602 \| good	0.781 \| good	5.041 \| good	0.076 \| good
2025-09-17T10:00:00.000Z	20 \| good	2.92 \| good	8.098 \| good	22.427 \| good	0.717 \| good	5.258 \| good	0.074 \| good
2025-09-17T11:00:00.000Z	20 \| good	2.806 \| good	7.341 \| good	22.478 \| good	0.715 \| good	5.132 \| good	0.094 \| good
2025-09-17T12:00:00.000Z	21 \| good	2.806 \| good	7.275 \| good	22.899 \| good	1.176 \| good	4.915 \| good	0.075 \| good
2025-09-17T13:00:00.000Z	21 \| good	2.806 \| good	6.974 \| good	23.089 \| good	0.904 \| good	3.237 \| good	0.077 \| good
2025-09-17T14:00:00.000Z	21 \| good	2.806 \| good	6.974 \| good	22.862 \| good	0.813 \| good	2.19 \| good	0.073 \| good
2025-09-17T15:00:00.000Z	22 \| good	2.236 \| good	6.794 \| good	24.095 \| good	0.622 \| good	1.537 \| good	0.073 \| good
2025-09-17T16:00:00.000Z	23 \| good	2.17 \| good	6.544 \| good	25.25 \| good	0.58 \| good	1.962 \| good	0.075 \| good
2025-09-17T17:00:00.000Z	24 \| good	2.17 \| good	6.544 \| good	25.664 \| good	0.544 \| good	2.716 \| good	0.082 \| good
2025-09-17T18:00:00.000Z	25 \| good	1.993 \| good	5.86 \| good	26.695 \| good	0.544 \| good	2.871 \| good	0.08 \| good
2025-09-17T19:00:00.000Z	25 \| good	1.993 \| good	5.544 \| good	26.931 \| good	0.552 \| good	4.362 \| good	0.079 \| good
2025-09-17T20:00:00.000Z	26 \| good	1.993 \| good	5.544 \| good	28.201 \| good	0.549 \| good	3.62 \| good	0.083 \| good
2025-09-17T21:00:00.000Z	27 \| good	1.993 \| good	5.544 \| good	28.662 \| good	0.408 \| good	3.9 \| good	0.093 \| good
2025-09-17T22:00:00.000Z	27 \| good	1.993 \| good	5.43 \| good	29.194 \| good	0.388 \| good	4.477 \| good	0.058 \| good
2025-09-17T23:00:00.000Z	26 \| good	1.993 \| good	5.43 \| good	28.443 \| good	0.385 \| good	5.826 \| good	0.056 \| good
2025-09-18T00:00:00.000Z	26 \| good	1.993 \| good	5.43 \| good	27.556 \| good	0.388 \| good	5.755 \| good	0.256 \| good
2025-09-18T01:00:00.000Z	25 \| good	1.993 \| good	5.43 \| good	26.562 \| good	0.388 \| good	6.582 \| good	0.198 \| good
2025-09-18T02:00:00.000Z	24 \| good	1.993 \| good	5.544 \| good	26.12 \| good	0.382 \| good	4.457 \| good	0.247 \| good
2025-09-18T03:00:00.000Z	24 \| good	1.993 \| good	5.544 \| good	26.12 \| good	0.382 \| good	4.457 \| good	0.247 \| good
2025-09-17T13:00:00.000Z	30 \| good	4.169 \| good	8.948 \| good	31.578 \| good	0.314 \| good	1.715 \| good	0.108 \| good
2025-09-17T14:00:00.000Z	30 \| good	4.236 \| good	8.729 \| good	31.969 \| good	0.303 \| good	1.866 \| good	0.108 \| good
2025-09-17T15:00:00.000Z	30 \| good	4.032 \| good	10.072 \| good	32.22 \| good	0.306 \| good	2.366 \| good	0.108 \| good
2025-09-17T16:00:00.000Z	30 \| good	4.049 \| good	9.752 \| good	32.356 \| good	0.327 \| good	3.027 \| good	0.11 \| good
2025-09-17T17:00:00.000Z	30 \| good	4.131 \| good	9.906 \| good	32.388 \| good	0.351 \| good	3.845 \| good	0.112 \| good
2025-09-17T18:00:00.000Z	31 \| good	4.416 \| good	10.38 \| good	32.974 \| good	0.398 \| good	4.249 \| good	0.115 \| good
2025-09-17T19:00:00.000Z	31 \| good	4.51 \| good	11.645 \| good	32.963 \| good	0.42 \| good	4.106 \| good	0.114 \| good
2025-09-17T20:00:00.000Z	30 \| good	4.406 \| good	11.676 \| good	32.39 \| good	0.439 \| good	3.783 \| good	0.114 \| good
2025-09-17T21:00:00.000Z	30 \| good	4.412 \| good	12.574 \| good	31.834 \| good	0.459 \| good	3.615 \| good	0.115 \| good
2025-09-17T22:00:00.000Z	29 \| good	4.498 \| good	12.642 \| good	31.036 \| good	0.465 \| good	3.567 \| good	0.115 \| good
2025-09-17T23:00:00.000Z	29 \| good	4.484 \| good	12.602 \| good	30.792 \| good	0.386 \| good	3.34 \| good	0.114 \| good
2025-09-18T00:00:00.000Z	28 \| good	4.415 \| good	12.278 \| good	30.189 \| good	0.322 \| good	3.026 \| good	0.113 \| good
2025-09-18T01:00:00.000Z	29 \| good	4.248 \| good	11.999 \| good	30.505 \| good	0.295 \| good	2.725 \| good	0.113 \| good
2025-09-18T02:00:00.000Z	28 \| good	3.968 \| good	9.8 \| good	29.577 \| good	0.249 \| good	2.31 \| good	0.112 \| good
2025-09-18T03:00:00.000Z	27 \| good	3.529 \| good	7.295 \| good	28.899 \| good	0.196 \| good	2.14 \| good	0.111 \| good
2025-09-18T04:00:00.000Z	25 \| good	3.109 \| good	5.951 \| good	27.258 \| good	0.116 \| good	1.887 \| good	0.111 \| good
2025-09-18T05:00:00.000Z	22 \| good	2.81 \| good	5.507 \| good	24.122 \| good	0.121 \| good	2.336 \| good	0.111 \| good
2025-09-18T06:00:00.000Z	20 \| good	2.899 \| good	5.271 \| good	22.387 \| good	0.139 \| good	4.029 \| good	0.108 \| good
2025-09-18T07:00:00.000Z	22 \| good	3.199 \| good	5.361 \| good	23.681 \| good	0.151 \| good	5.402 \| good	0.108 \| good
2025-09-18T08:00:00.000Z	23 \| good	2.886 \| good	5.358 \| good	24.546 \| good	0.166 \| good	3.856 \| good	0.104 \| good
2025-09-18T09:00:00.000Z	26 \| good	3.08 \| good	6.357 \| good	28.02 \| good	0.17 \| good	2.786 \| good	0.103 \| good
2025-09-18T10:00:00.000Z	26 \| good	3.168 \| good	6.562 \| good	28.136 \| good	0.167 \| good	2.166 \| good	0.102 \| good
2025-09-18T11:00:00.000Z	28 \| good	3.094 \| good	5.701 \| good	29.604 \| good	0.154 \| good	1.976 \| good	0.101 \| good
2025-09-18T12:00:00.000Z	25 \| good	2.635 \| good	5.091 \| good	26.937 \| good	0.137 \| good	1.932 \| good	0.101 \| good
2025-09-18T13:00:00.000Z	25 \| good	2.71 \| good	4.763 \| good	26.849 \| good	0.145 \| good	1.865 \| good	0.101 \| good
2025-09-18T14:00:00.000Z	24 \| good	2.84 \| good	4.697 \| good	26.315 \| good	0.176 \| good	2.069 \| good	0.102 \| good
2025-09-18T15:00:00.000Z	25 \| good	3.11 \| good	4.793 \| good	26.597 \| good	0.197 \| good	2.535 \| good	0.102 \| good
2025-09-18T16:00:00.000Z	23 \| good	2.938 \| good	5.567 \| good	24.743 \| good	0.224 \| good	3.152 \| good	0.103 \| good
2025-09-18T17:00:00.000Z	22 \| good	2.831 \| good	4.959 \| good	24.476 \| good	0.226 \| good	3.586 \| good	0.104 \| good
2025-09-18T18:00:00.000Z	24 \| good	3.006 \| good	5.018 \| good	26.078 \| good	0.182 \| good	3.976 \| good	0.105 \| good
2025-09-18T19:00:00.000Z	26 \| good	3.336 \| good	5.174 \| good	27.763 \| good	0.156 \| good	3.485 \| good	0.102 \| good
2025-09-18T20:00:00.000Z	27 \| good	3.196 \| good	5.336 \| good	28.679 \| good	0.152 \| good	2.656 \| good	0.101 \| good
2025-09-18T21:00:00.000Z	27 \| good	2.87 \| good	5.164 \| good	28.509 \| good	0.144 \| good	2.125 \| good	0.099 \| good
2025-09-18T22:00:00.000Z	26 \| good	2.632 \| good	5.223 \| good	28.173 \| good	0.13 \| good	2.081 \| good	0.097 \| good
2025-09-18T23:00:00.000Z	26 \| good	2.881 \| good	5.664 \| good	27.807 \| good	0.106 \| good	1.831 \| good	0.096 \| good
2025-09-19T00:00:00.000Z	26 \| good	2.832 \| good	5.327 \| good	27.508 \| good	0.096 \| good	1.567 \| good	0.096 \| good
2025-09-19T01:00:00.000Z	24 \| good	2.589 \| good	3.953 \| good	26.36 \| good	0.104 \| good	1.612 \| good	0.098 \| good
2025-09-19T02:00:00.000Z	23 \| good	2.543 \| good	3.483 \| good	24.923 \| good	0.136 \| good	1.821 \| good	0.102 \| good
2025-09-19T03:00:00.000Z	21 \| good	2.552 \| good	3.425 \| good	23.314 \| good	0.189 \| good	2.273 \| good	0.103 \| good
2025-09-19T04:00:00.000Z	20 \| good	2.505 \| good	3.681 \| good	22.126 \| good	0.28 \| good	2.968 \| good	0.104 \| good
2025-09-19T05:00:00.000Z	19 \| good	2.789 \| good	3.934 \| good	20.51 \| good	0.372 \| good	4.177 \| good	0.103 \| good
2025-09-19T06:00:00.000Z	16 \| good	3.042 \| good	4.26 \| good	17.499 \| good	0.471 \| good	7.268 \| good	0.107 \| good
2025-09-19T07:00:00.000Z	22 \| good	3.824 \| good	5.31 \| good	12.55 \| good	0.611 \| good	12.316 \| good	0.121 \| good
2025-09-19T08:00:00.000Z	22 \| good	4.158 \| good	5.925 \| good	14.504 \| good	0.716 \| good	12.922 \| good	0.13 \| good
2025-09-19T09:00:00.000Z	22 \| good	4.092 \| good	6.023 \| good	16.494 \| good	0.642 \| good	10.787 \| good	0.133 \| good
2025-09-19T10:00:00.000Z	22 \| good	4.003 \| good	5.661 \| good	17.712 \| good	0.672 \| good	10.603 \| good	0.132 \| good
2025-09-19T11:00:00.000Z	22 \| good	3.91 \| good	5.805 \| good	17.746 \| good	0.637 \| good	10.504 \| good	0.132 \| good
2025-09-19T12:00:00.000Z	22 \| good	4.005 \| good	6.141 \| good	18.884 \| good	0.581 \| good	10.846 \| good	0.127 \| good

Lymm

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Lymm, Warrington air quality map: Track AQI near you

0.09ppm

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 07:00:00 on 2025-09-16.

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 08:00:00 on 2025-09-17.

What is the current air quality in Lymm, Warrington?

The current air quality in Lymm, Warrington is 21, 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 O3.

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 2.806 μg/m³.

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

The current PM₁₀ concentration at Lymm, Warrington is 7.275 μg/m³.

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

The current carbon monoxide (CO) concentration at Lymm, Warrington is 0.075 ppm.

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

The current sulfur dioxide (SO₂) concentration at Lymm, Warrington is 1.176 ppb.

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

The current ozone (O₃) concentration at Lymm, Warrington is 22.899 ppm.

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

The current nitrogen dioxide (NO₂) concentration at Lymm, Warrington is 4.915 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-09-16T04:00:00.000Z	28 \| good	3.872 \| good	9.535 \| good	30.465 \| good	0.511 \| good	1.111 \| good	0.268 \| good
2025-09-16T05:00:00.000Z	28 \| good	3.872 \| good	9.649 \| good	30.446 \| good	0.382 \| good	0.836 \| good	0.271 \| good
2025-09-16T06:00:00.000Z	28 \| good	3.872 \| good	10.219 \| good	29.756 \| good	0.382 \| good	0.859 \| good	0.103 \| good
2025-09-16T07:00:00.000Z	27 \| good	3.872 \| good	10.219 \| good	29.254 \| good	0.382 \| good	1.412 \| good	0.11 \| good
2025-09-16T08:00:00.000Z	27 \| good	3.872 \| good	10.285 \| good	29.119 \| good	0.479 \| good	1.89 \| good	0.102 \| good
2025-09-16T09:00:00.000Z	27 \| good	3.986 \| good	10.462 \| good	29.17 \| good	0.419 \| good	3.329 \| good	0.097 \| good
2025-09-16T10:00:00.000Z	27 \| good	4.556 \| good	10.462 \| good	29.361 \| good	0.42 \| good	2.646 \| good	0.114 \| good
2025-09-16T11:00:00.000Z	28 \| good	4.556 \| good	10.462 \| good	29.542 \| good	0.436 \| good	1.766 \| good	0.093 \| good
2025-09-16T12:00:00.000Z	27 \| good	4.556 \| good	10.51 \| good	29.497 \| good	0.48 \| good	2.038 \| good	0.086 \| good
2025-09-16T13:00:00.000Z	27 \| good	4.556 \| good	11.267 \| good	29.319 \| good	0.508 \| good	2.124 \| good	0.083 \| good
2025-09-16T14:00:00.000Z	28 \| good	4.619 \| good	11.33 \| good	29.682 \| good	0.382 \| good	1.635 \| good	0.085 \| good
2025-09-16T15:00:00.000Z	28 \| good	4.619 \| good	11.33 \| good	29.698 \| good	0.541 \| good	1.782 \| good	0.087 \| good
2025-09-16T16:00:00.000Z	28 \| good	4.619 \| good	11.33 \| good	30.46 \| good	0.384 \| good	1.852 \| good	0.082 \| good
2025-09-16T17:00:00.000Z	29 \| good	4.619 \| good	11.33 \| good	31.126 \| good	0.384 \| good	1.735 \| good	0.083 \| good
2025-09-16T18:00:00.000Z	29 \| good	4.619 \| good	11.33 \| good	31.499 \| good	0.384 \| good	2.54 \| good	0.091 \| good
2025-09-16T19:00:00.000Z	30 \| good	4.432 \| good	10.76 \| good	31.94 \| good	0.384 \| good	2.706 \| good	0.096 \| good
2025-09-16T20:00:00.000Z	29 \| good	4.432 \| good	10.76 \| good	31.283 \| good	0.387 \| good	5.285 \| good	0.095 \| good
2025-09-16T21:00:00.000Z	28 \| good	4.432 \| good	10.646 \| good	30.473 \| good	0.382 \| good	8.962 \| good	0.096 \| good
2025-09-16T22:00:00.000Z	26 \| good	3.862 \| good	10.646 \| good	27.695 \| good	0.382 \| good	10.599 \| good	0.079 \| good
2025-09-16T23:00:00.000Z	24 \| good	3.862 \| good	10.646 \| good	26.091 \| good	0.382 \| good	6.63 \| good	0.081 \| good
2025-09-17T00:00:00.000Z	23 \| good	3.983 \| good	10.392 \| good	24.636 \| good	0.391 \| good	4.677 \| good	0.285 \| good
2025-09-17T01:00:00.000Z	22 \| good	3.983 \| good	10.392 \| good	23.11 \| good	0.44 \| good	4.391 \| good	0.339 \| good
2025-09-17T02:00:00.000Z	22 \| good	3.983 \| good	10.278 \| good	21.208 \| good	0.503 \| good	3.719 \| good	0.247 \| good
2025-09-17T03:00:00.000Z	22 \| good	3.983 \| good	10.278 \| good	21.007 \| good	0.519 \| good	3.719 \| good	0.243 \| good
2025-09-17T04:00:00.000Z	22 \| good	3.733 \| good	9.455 \| good	18.879 \| good	0.533 \| good	1.997 \| good	0.242 \| good
2025-09-17T05:00:00.000Z	22 \| good	3.733 \| good	9.455 \| good	18.947 \| good	0.382 \| good	2.793 \| good	0.25 \| good
2025-09-17T06:00:00.000Z	22 \| good	3.619 \| good	9.278 \| good	20.326 \| good	0.382 \| good	3.343 \| good	0.079 \| good
2025-09-17T07:00:00.000Z	22 \| good	3.619 \| good	9.212 \| good	20.376 \| good	0.382 \| good	4.741 \| good	0.086 \| good
2025-09-17T08:00:00.000Z	19 \| good	3.049 \| good	9.025 \| good	21.233 \| good	0.552 \| good	5.924 \| good	0.081 \| good
2025-09-17T09:00:00.000Z	20 \| good	3.049 \| good	8.341 \| good	21.602 \| good	0.781 \| good	5.041 \| good	0.076 \| good
2025-09-17T10:00:00.000Z	20 \| good	2.92 \| good	8.098 \| good	22.427 \| good	0.717 \| good	5.258 \| good	0.074 \| good
2025-09-17T11:00:00.000Z	20 \| good	2.806 \| good	7.341 \| good	22.478 \| good	0.715 \| good	5.132 \| good	0.094 \| good
2025-09-17T12:00:00.000Z	21 \| good	2.806 \| good	7.275 \| good	22.899 \| good	1.176 \| good	4.915 \| good	0.075 \| good
2025-09-17T13:00:00.000Z	21 \| good	2.806 \| good	6.974 \| good	23.089 \| good	0.904 \| good	3.237 \| good	0.077 \| good
2025-09-17T14:00:00.000Z	21 \| good	2.806 \| good	6.974 \| good	22.862 \| good	0.813 \| good	2.19 \| good	0.073 \| good
2025-09-17T15:00:00.000Z	22 \| good	2.236 \| good	6.794 \| good	24.095 \| good	0.622 \| good	1.537 \| good	0.073 \| good
2025-09-17T16:00:00.000Z	23 \| good	2.17 \| good	6.544 \| good	25.25 \| good	0.58 \| good	1.962 \| good	0.075 \| good
2025-09-17T17:00:00.000Z	24 \| good	2.17 \| good	6.544 \| good	25.664 \| good	0.544 \| good	2.716 \| good	0.082 \| good
2025-09-17T18:00:00.000Z	25 \| good	1.993 \| good	5.86 \| good	26.695 \| good	0.544 \| good	2.871 \| good	0.08 \| good
2025-09-17T19:00:00.000Z	25 \| good	1.993 \| good	5.544 \| good	26.931 \| good	0.552 \| good	4.362 \| good	0.079 \| good
2025-09-17T20:00:00.000Z	26 \| good	1.993 \| good	5.544 \| good	28.201 \| good	0.549 \| good	3.62 \| good	0.083 \| good
2025-09-17T21:00:00.000Z	27 \| good	1.993 \| good	5.544 \| good	28.662 \| good	0.408 \| good	3.9 \| good	0.093 \| good
2025-09-17T22:00:00.000Z	27 \| good	1.993 \| good	5.43 \| good	29.194 \| good	0.388 \| good	4.477 \| good	0.058 \| good
2025-09-17T23:00:00.000Z	26 \| good	1.993 \| good	5.43 \| good	28.443 \| good	0.385 \| good	5.826 \| good	0.056 \| good
2025-09-18T00:00:00.000Z	26 \| good	1.993 \| good	5.43 \| good	27.556 \| good	0.388 \| good	5.755 \| good	0.256 \| good
2025-09-18T01:00:00.000Z	25 \| good	1.993 \| good	5.43 \| good	26.562 \| good	0.388 \| good	6.582 \| good	0.198 \| good
2025-09-18T02:00:00.000Z	24 \| good	1.993 \| good	5.544 \| good	26.12 \| good	0.382 \| good	4.457 \| good	0.247 \| good
2025-09-18T03:00:00.000Z	24 \| good	1.993 \| good	5.544 \| good	26.12 \| good	0.382 \| good	4.457 \| good	0.247 \| good
2025-09-17T13:00:00.000Z	30 \| good	4.169 \| good	8.948 \| good	31.578 \| good	0.314 \| good	1.715 \| good	0.108 \| good
2025-09-17T14:00:00.000Z	30 \| good	4.236 \| good	8.729 \| good	31.969 \| good	0.303 \| good	1.866 \| good	0.108 \| good
2025-09-17T15:00:00.000Z	30 \| good	4.032 \| good	10.072 \| good	32.22 \| good	0.306 \| good	2.366 \| good	0.108 \| good
2025-09-17T16:00:00.000Z	30 \| good	4.049 \| good	9.752 \| good	32.356 \| good	0.327 \| good	3.027 \| good	0.11 \| good
2025-09-17T17:00:00.000Z	30 \| good	4.131 \| good	9.906 \| good	32.388 \| good	0.351 \| good	3.845 \| good	0.112 \| good
2025-09-17T18:00:00.000Z	31 \| good	4.416 \| good	10.38 \| good	32.974 \| good	0.398 \| good	4.249 \| good	0.115 \| good
2025-09-17T19:00:00.000Z	31 \| good	4.51 \| good	11.645 \| good	32.963 \| good	0.42 \| good	4.106 \| good	0.114 \| good
2025-09-17T20:00:00.000Z	30 \| good	4.406 \| good	11.676 \| good	32.39 \| good	0.439 \| good	3.783 \| good	0.114 \| good
2025-09-17T21:00:00.000Z	30 \| good	4.412 \| good	12.574 \| good	31.834 \| good	0.459 \| good	3.615 \| good	0.115 \| good
2025-09-17T22:00:00.000Z	29 \| good	4.498 \| good	12.642 \| good	31.036 \| good	0.465 \| good	3.567 \| good	0.115 \| good
2025-09-17T23:00:00.000Z	29 \| good	4.484 \| good	12.602 \| good	30.792 \| good	0.386 \| good	3.34 \| good	0.114 \| good
2025-09-18T00:00:00.000Z	28 \| good	4.415 \| good	12.278 \| good	30.189 \| good	0.322 \| good	3.026 \| good	0.113 \| good
2025-09-18T01:00:00.000Z	29 \| good	4.248 \| good	11.999 \| good	30.505 \| good	0.295 \| good	2.725 \| good	0.113 \| good
2025-09-18T02:00:00.000Z	28 \| good	3.968 \| good	9.8 \| good	29.577 \| good	0.249 \| good	2.31 \| good	0.112 \| good
2025-09-18T03:00:00.000Z	27 \| good	3.529 \| good	7.295 \| good	28.899 \| good	0.196 \| good	2.14 \| good	0.111 \| good
2025-09-18T04:00:00.000Z	25 \| good	3.109 \| good	5.951 \| good	27.258 \| good	0.116 \| good	1.887 \| good	0.111 \| good
2025-09-18T05:00:00.000Z	22 \| good	2.81 \| good	5.507 \| good	24.122 \| good	0.121 \| good	2.336 \| good	0.111 \| good
2025-09-18T06:00:00.000Z	20 \| good	2.899 \| good	5.271 \| good	22.387 \| good	0.139 \| good	4.029 \| good	0.108 \| good
2025-09-18T07:00:00.000Z	22 \| good	3.199 \| good	5.361 \| good	23.681 \| good	0.151 \| good	5.402 \| good	0.108 \| good
2025-09-18T08:00:00.000Z	23 \| good	2.886 \| good	5.358 \| good	24.546 \| good	0.166 \| good	3.856 \| good	0.104 \| good
2025-09-18T09:00:00.000Z	26 \| good	3.08 \| good	6.357 \| good	28.02 \| good	0.17 \| good	2.786 \| good	0.103 \| good
2025-09-18T10:00:00.000Z	26 \| good	3.168 \| good	6.562 \| good	28.136 \| good	0.167 \| good	2.166 \| good	0.102 \| good
2025-09-18T11:00:00.000Z	28 \| good	3.094 \| good	5.701 \| good	29.604 \| good	0.154 \| good	1.976 \| good	0.101 \| good
2025-09-18T12:00:00.000Z	25 \| good	2.635 \| good	5.091 \| good	26.937 \| good	0.137 \| good	1.932 \| good	0.101 \| good
2025-09-18T13:00:00.000Z	25 \| good	2.71 \| good	4.763 \| good	26.849 \| good	0.145 \| good	1.865 \| good	0.101 \| good
2025-09-18T14:00:00.000Z	24 \| good	2.84 \| good	4.697 \| good	26.315 \| good	0.176 \| good	2.069 \| good	0.102 \| good
2025-09-18T15:00:00.000Z	25 \| good	3.11 \| good	4.793 \| good	26.597 \| good	0.197 \| good	2.535 \| good	0.102 \| good
2025-09-18T16:00:00.000Z	23 \| good	2.938 \| good	5.567 \| good	24.743 \| good	0.224 \| good	3.152 \| good	0.103 \| good
2025-09-18T17:00:00.000Z	22 \| good	2.831 \| good	4.959 \| good	24.476 \| good	0.226 \| good	3.586 \| good	0.104 \| good
2025-09-18T18:00:00.000Z	24 \| good	3.006 \| good	5.018 \| good	26.078 \| good	0.182 \| good	3.976 \| good	0.105 \| good
2025-09-18T19:00:00.000Z	26 \| good	3.336 \| good	5.174 \| good	27.763 \| good	0.156 \| good	3.485 \| good	0.102 \| good
2025-09-18T20:00:00.000Z	27 \| good	3.196 \| good	5.336 \| good	28.679 \| good	0.152 \| good	2.656 \| good	0.101 \| good
2025-09-18T21:00:00.000Z	27 \| good	2.87 \| good	5.164 \| good	28.509 \| good	0.144 \| good	2.125 \| good	0.099 \| good
2025-09-18T22:00:00.000Z	26 \| good	2.632 \| good	5.223 \| good	28.173 \| good	0.13 \| good	2.081 \| good	0.097 \| good
2025-09-18T23:00:00.000Z	26 \| good	2.881 \| good	5.664 \| good	27.807 \| good	0.106 \| good	1.831 \| good	0.096 \| good
2025-09-19T00:00:00.000Z	26 \| good	2.832 \| good	5.327 \| good	27.508 \| good	0.096 \| good	1.567 \| good	0.096 \| good
2025-09-19T01:00:00.000Z	24 \| good	2.589 \| good	3.953 \| good	26.36 \| good	0.104 \| good	1.612 \| good	0.098 \| good
2025-09-19T02:00:00.000Z	23 \| good	2.543 \| good	3.483 \| good	24.923 \| good	0.136 \| good	1.821 \| good	0.102 \| good
2025-09-19T03:00:00.000Z	21 \| good	2.552 \| good	3.425 \| good	23.314 \| good	0.189 \| good	2.273 \| good	0.103 \| good
2025-09-19T04:00:00.000Z	20 \| good	2.505 \| good	3.681 \| good	22.126 \| good	0.28 \| good	2.968 \| good	0.104 \| good
2025-09-19T05:00:00.000Z	19 \| good	2.789 \| good	3.934 \| good	20.51 \| good	0.372 \| good	4.177 \| good	0.103 \| good
2025-09-19T06:00:00.000Z	16 \| good	3.042 \| good	4.26 \| good	17.499 \| good	0.471 \| good	7.268 \| good	0.107 \| good
2025-09-19T07:00:00.000Z	22 \| good	3.824 \| good	5.31 \| good	12.55 \| good	0.611 \| good	12.316 \| good	0.121 \| good
2025-09-19T08:00:00.000Z	22 \| good	4.158 \| good	5.925 \| good	14.504 \| good	0.716 \| good	12.922 \| good	0.13 \| good
2025-09-19T09:00:00.000Z	22 \| good	4.092 \| good	6.023 \| good	16.494 \| good	0.642 \| good	10.787 \| good	0.133 \| good
2025-09-19T10:00:00.000Z	22 \| good	4.003 \| good	5.661 \| good	17.712 \| good	0.672 \| good	10.603 \| good	0.132 \| good
2025-09-19T11:00:00.000Z	22 \| good	3.91 \| good	5.805 \| good	17.746 \| good	0.637 \| good	10.504 \| good	0.132 \| good
2025-09-19T12:00:00.000Z	22 \| good	4.005 \| good	6.141 \| good	18.884 \| good	0.581 \| good	10.846 \| good	0.127 \| 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 should I do if the air quality in Lymm, Warrington is poor?

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?