What are the current PM10 levels at Kearsley, Greater Manchester?

The current PM10 levels in Kearsley, Greater Manchester are 10.752 μg/m3.

What are the current sulfur dioxide (SO2) levels at Kearsley, Greater Manchester?

The current sulfur dioxide (SO2) levels in Kearsley, Greater Manchester are 0.449 ppb.

What are the current ozone (O3) levels at Kearsley, Greater Manchester?

The current ozone (O3) levels at Kearsley, Greater Manchester is 39.44 ppm.

What are the current nitrogen dioxide (NO2) levels at Kearsley, Greater Manchester?

The current nitrogen dioxide (NO2) levels at Kearsley, Greater Manchester is 1.627 ppb.

Real-time air quality index in Kearsley, Greater Manchester today

Q: What are the current PM2.5 levels in Kearsley, Greater Manchester?

The measured PM2.5 levels in Kearsley, Greater Manchester at present are 4.911 μg/m3.

Stay updated with real-time air quality in Kearsley, Greater Manchester 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

Kearsley, Greater Manchester

Last updated: ... (Local time)

Common air pollutants in Kearsley, Greater Manchester

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

4.91 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

10.75 μg/m³

155

255

425

605+

Ozone (O₃)

39.44 ppb

201

201+

Sulfur Dioxide (SO₂)

0.45 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

1.63 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.09 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Very high

Kearsley, Greater Manchester

Get Live Pollen Counts

Kearsley, Greater Manchester

Scroll To Air Quality Map

Track live Kearsley, Greater Manchester air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-03-27T23:00:00.000Z	35 \| good	4.946 \| good	15.376 \| good	38.082 \| good	0.593 \| good	3.928 \| good	0.093 \| good
2026-03-28T00:00:00.000Z	37 \| good	4.946 \| good	15.642 \| good	39.992 \| good	0.454 \| good	4.337 \| good	0.273 \| good
2026-03-28T01:00:00.000Z	37 \| good	5.07 \| good	16.339 \| good	39.922 \| good	0.454 \| good	3.035 \| good	0.23 \| good
2026-03-28T02:00:00.000Z	36 \| good	5.144 \| good	16.617 \| good	38.952 \| good	0.518 \| good	2.283 \| good	0.217 \| good
2026-03-28T03:00:00.000Z	35 \| good	5.572 \| good	17.339 \| good	38.355 \| good	0.382 \| good	1.705 \| good	0.209 \| good
2026-03-28T04:00:00.000Z	36 \| good	5.721 \| good	18.202 \| good	39.002 \| good	0.42 \| good	1.065 \| good	0.203 \| good
2026-03-28T05:00:00.000Z	37 \| good	5.759 \| good	18.339 \| good	39.678 \| good	0.489 \| good	1.069 \| good	0.2 \| good
2026-03-28T06:00:00.000Z	37 \| good	5.759 \| good	19.276 \| good	40.195 \| good	0.42 \| good	0.858 \| good	0.198 \| good
2026-03-28T07:00:00.000Z	37 \| good	5.833 \| good	19.301 \| good	40.184 \| good	0.382 \| good	1.471 \| good	0.067 \| good
2026-03-28T08:00:00.000Z	36 \| good	6.074 \| good	19.654 \| good	39.359 \| good	0.451 \| good	1.537 \| good	0.076 \| good
2026-03-28T09:00:00.000Z	34 \| good	6.286 \| good	20.301 \| good	37.385 \| good	0.565 \| good	2.168 \| good	0.082 \| good
2026-03-28T10:00:00.000Z	36 \| good	6.286 \| good	20.616 \| good	39.034 \| good	0.382 \| good	2.164 \| good	0.09 \| good
2026-03-28T11:00:00.000Z	37 \| good	6.448 \| good	21.301 \| good	39.627 \| good	0.449 \| good	2.149 \| good	0.093 \| good
2026-03-28T12:00:00.000Z	38 \| good	6.646 \| good	22.239 \| good	39.982 \| good	0.455 \| good	2.036 \| good	0.089 \| good
2026-03-28T13:00:00.000Z	38 \| good	6.609 \| good	22.239 \| good	40.75 \| good	0.455 \| good	2.23 \| good	0.088 \| good
2026-03-28T14:00:00.000Z	38 \| good	6.484 \| good	21.338 \| good	40.633 \| good	0.453 \| good	2.561 \| good	0.085 \| good
2026-03-28T15:00:00.000Z	36 \| good	6.41 \| good	21.239 \| good	39.367 \| good	0.453 \| good	2.821 \| good	0.102 \| good
2026-03-28T16:00:00.000Z	37 \| good	6.02 \| good	20.338 \| good	39.974 \| good	0.453 \| good	1.744 \| good	0.089 \| good
2026-03-28T17:00:00.000Z	38 \| good	5.796 \| good	19.616 \| good	41.042 \| good	0.453 \| good	2.088 \| good	0.09 \| good
2026-03-28T18:00:00.000Z	38 \| good	5.721 \| good	18.753 \| good	41.316 \| good	0.453 \| good	1.824 \| good	0.088 \| good
2026-03-28T19:00:00.000Z	39 \| good	5.481 \| good	18.376 \| good	41.754 \| good	0.454 \| good	2.742 \| good	0.102 \| good
2026-03-28T20:00:00.000Z	36 \| good	5.331 \| good	17.753 \| good	38.75 \| good	0.526 \| good	4.498 \| good	0.105 \| good
2026-03-28T21:00:00.000Z	37 \| good	5.331 \| good	17.753 \| good	39.929 \| good	0.454 \| good	6.432 \| good	0.094 \| good
2026-03-28T22:00:00.000Z	37 \| good	5.331 \| good	17.753 \| good	39.643 \| good	0.458 \| good	7.534 \| good	0.098 \| good
2026-03-28T23:00:00.000Z	36 \| good	5.293 \| good	17.753 \| good	38.69 \| good	0.527 \| good	5.772 \| good	0.094 \| good
2026-03-29T00:00:00.000Z	34 \| good	5.293 \| good	17.642 \| good	37.454 \| good	0.518 \| good	6.094 \| good	0.266 \| good
2026-03-29T01:00:00.000Z	32 \| good	5.293 \| good	17.376 \| good	34.624 \| good	0.518 \| good	8.282 \| good	0.264 \| good
2026-03-29T02:00:00.000Z	30 \| good	5.107 \| good	16.753 \| good	31.9 \| good	0.453 \| good	9.226 \| good	0.247 \| good
2026-03-29T03:00:00.000Z	28 \| good	5.107 \| good	16.753 \| good	30.205 \| good	0.454 \| good	12.125 \| good	0.299 \| good
2026-03-29T04:00:00.000Z	27 \| good	5.107 \| good	16.679 \| good	29.022 \| good	0.489 \| good	8.475 \| good	0.285 \| good
2026-03-29T05:00:00.000Z	27 \| good	5.107 \| good	16.413 \| good	28.143 \| good	0.382 \| good	7.088 \| good	0.092 \| good
2026-03-29T06:00:00.000Z	27 \| good	5.107 \| good	16.376 \| good	27.517 \| good	0.483 \| good	5.316 \| good	0.088 \| good
2026-03-29T07:00:00.000Z	27 \| good	5.107 \| good	16.376 \| good	26.378 \| good	0.475 \| good	5.245 \| good	0.088 \| good
2026-03-29T08:00:00.000Z	27 \| good	5.082 \| good	16.301 \| good	25.429 \| good	0.532 \| good	5.484 \| good	0.096 \| good
2026-03-29T09:00:00.000Z	27 \| good	4.883 \| good	15.438 \| good	24.741 \| good	0.53 \| good	5.874 \| good	0.109 \| good
2026-03-29T10:00:00.000Z	27 \| good	4.642 \| good	15.438 \| good	24.63 \| good	0.382 \| good	4.985 \| good	0.105 \| good
2026-03-29T11:00:00.000Z	27 \| good	4.642 \| good	15.339 \| good	26.834 \| good	0.382 \| good	5.011 \| good	0.082 \| good
2026-03-29T12:00:00.000Z	27 \| good	4.518 \| good	14.438 \| good	27.276 \| good	0.455 \| good	7.108 \| good	0.08 \| good
2026-03-29T13:00:00.000Z	25 \| good	4.48 \| good	14.364 \| good	27.04 \| good	0.431 \| good	9.218 \| good	0.092 \| good
2026-03-29T14:00:00.000Z	27 \| good	4.48 \| good	14.098 \| good	28.9 \| good	0.453 \| good	7.158 \| good	0.086 \| good
2026-03-29T15:00:00.000Z	29 \| good	4.293 \| good	13.401 \| good	30.998 \| good	0.453 \| good	6.191 \| good	0.09 \| good
2026-03-29T16:00:00.000Z	31 \| good	4.194 \| good	13.339 \| good	33.513 \| good	0.453 \| good	6.44 \| good	0.09 \| good
2026-03-29T17:00:00.000Z	35 \| good	3.829 \| good	12.401 \| good	37.928 \| good	0.415 \| good	4.555 \| good	0.088 \| good
2026-03-29T18:00:00.000Z	34 \| good	3.829 \| good	12.401 \| good	37.42 \| good	0.453 \| good	2.162 \| good	0.086 \| good
2026-03-29T19:00:00.000Z	35 \| good	3.829 \| good	12.401 \| good	38.003 \| good	0.382 \| good	1.867 \| good	0.098 \| good
2026-03-29T20:00:00.000Z	37 \| good	3.829 \| good	12.327 \| good	40.251 \| good	0.519 \| good	2.222 \| good	0.125 \| good
2026-03-29T21:00:00.000Z	34 \| good	4.194 \| good	13.024 \| good	37.397 \| good	0.453 \| good	1.432 \| good	0.085 \| good
2026-03-29T22:00:00.000Z	36 \| good	4.911 \| good	10.752 \| good	39.44 \| good	0.449 \| good	1.627 \| good	0.085 \| good
2026-03-29T23:00:00.000Z	44 \| good	5.332 \| good	17.041 \| good	48.16 \| good	0.169 \| good	1.362 \| good	0.116 \| good
2026-03-30T00:00:00.000Z	44 \| good	5.474 \| good	17.309 \| good	48.158 \| good	0.153 \| good	1.189 \| good	0.117 \| good
2026-03-30T01:00:00.000Z	44 \| good	5.53 \| good	16.141 \| good	48.275 \| good	0.155 \| good	0.971 \| good	0.116 \| good
2026-03-30T02:00:00.000Z	44 \| good	5.504 \| good	14.623 \| good	48.342 \| good	0.145 \| good	0.786 \| good	0.116 \| good
2026-03-30T03:00:00.000Z	44 \| good	5.487 \| good	13.846 \| good	48.028 \| good	0.141 \| good	0.772 \| good	0.118 \| good
2026-03-30T04:00:00.000Z	44 \| good	5.506 \| good	13.348 \| good	47.543 \| good	0.141 \| good	0.8 \| good	0.118 \| good
2026-03-30T05:00:00.000Z	44 \| good	5.538 \| good	13.185 \| good	47.413 \| good	0.137 \| good	0.946 \| good	0.118 \| good
2026-03-30T06:00:00.000Z	44 \| good	5.491 \| good	12.563 \| good	46.834 \| good	0.157 \| good	1.541 \| good	0.119 \| good
2026-03-30T07:00:00.000Z	44 \| good	5.281 \| good	12.49 \| good	46.635 \| good	0.193 \| good	2.653 \| good	0.126 \| good
2026-03-30T08:00:00.000Z	44 \| good	5.104 \| good	12.206 \| good	47.429 \| good	0.201 \| good	2.358 \| good	0.126 \| good
2026-03-30T09:00:00.000Z	44 \| good	4.904 \| good	11.521 \| good	48.281 \| good	0.181 \| good	1.768 \| good	0.123 \| good
2026-03-30T10:00:00.000Z	45 \| good	4.293 \| good	11.337 \| good	49.082 \| good	0.157 \| good	1.382 \| good	0.122 \| good
2026-03-30T11:00:00.000Z	46 \| good	4.415 \| good	10.646 \| good	50.21 \| good	0.142 \| good	1.193 \| good	0.121 \| good
2026-03-30T12:00:00.000Z	46 \| good	4.211 \| good	10.722 \| good	49.687 \| good	0.143 \| good	1.093 \| good	0.123 \| good
2026-03-30T13:00:00.000Z	46 \| good	4.009 \| good	10.516 \| good	50.284 \| good	0.158 \| good	1.094 \| good	0.122 \| good
2026-03-30T14:00:00.000Z	46 \| good	3.819 \| good	10.285 \| good	50.455 \| good	0.156 \| good	1.103 \| good	0.122 \| good
2026-03-30T15:00:00.000Z	47 \| good	3.795 \| good	10.792 \| good	51.153 \| good	0.147 \| good	1.245 \| good	0.122 \| good
2026-03-30T16:00:00.000Z	47 \| good	3.98 \| good	11.409 \| good	50.655 \| good	0.157 \| good	1.458 \| good	0.124 \| good
2026-03-30T17:00:00.000Z	46 \| good	4.371 \| good	12.566 \| good	49.911 \| good	0.182 \| good	1.986 \| good	0.129 \| good
2026-03-30T18:00:00.000Z	44 \| good	4.791 \| good	13.842 \| good	48.383 \| good	0.217 \| good	2.753 \| good	0.13 \| good
2026-03-30T19:00:00.000Z	44 \| good	4.927 \| good	14.658 \| good	47.285 \| good	0.264 \| good	3.34 \| good	0.128 \| good
2026-03-30T20:00:00.000Z	44 \| good	4.809 \| good	14.798 \| good	46.995 \| good	0.3 \| good	2.816 \| good	0.126 \| good
2026-03-30T21:00:00.000Z	43 \| good	4.693 \| good	14.151 \| good	46.498 \| good	0.295 \| good	3.37 \| good	0.126 \| good
2026-03-30T22:00:00.000Z	43 \| good	4.726 \| good	12.925 \| good	45.646 \| good	0.271 \| good	3.051 \| good	0.126 \| good
2026-03-30T23:00:00.000Z	42 \| good	4.584 \| good	12.664 \| good	44.634 \| good	0.25 \| good	2.804 \| good	0.126 \| good
2026-03-31T00:00:00.000Z	41 \| good	4.61 \| good	12.951 \| good	43.78 \| good	0.207 \| good	2.67 \| good	0.127 \| good
2026-03-31T01:00:00.000Z	39 \| good	5.16 \| good	13.102 \| good	41.948 \| good	0.213 \| good	2.487 \| good	0.126 \| good
2026-03-31T02:00:00.000Z	34 \| good	4.558 \| good	11.775 \| good	36.688 \| good	0.242 \| good	2.782 \| good	0.127 \| good
2026-03-31T03:00:00.000Z	31 \| good	5.209 \| good	9.875 \| good	33.498 \| good	0.269 \| good	3.157 \| good	0.127 \| good
2026-03-31T04:00:00.000Z	33 \| good	5.583 \| good	10.261 \| good	29.728 \| good	0.234 \| good	3.385 \| good	0.127 \| good
2026-03-31T05:00:00.000Z	33 \| good	5.96 \| good	10.376 \| good	26.724 \| good	0.232 \| good	4.132 \| good	0.127 \| good
2026-03-31T06:00:00.000Z	33 \| good	6.094 \| good	9.921 \| good	23.557 \| good	0.282 \| good	4.653 \| good	0.129 \| good
2026-03-31T07:00:00.000Z	33 \| good	6.264 \| good	9.231 \| good	22.814 \| good	0.329 \| good	7.895 \| good	0.133 \| good
2026-03-31T08:00:00.000Z	33 \| good	6.494 \| good	9.348 \| good	22.848 \| good	0.334 \| good	8.236 \| good	0.132 \| good
2026-03-31T09:00:00.000Z	27 \| good	5.058 \| good	7.806 \| good	22.142 \| good	0.305 \| good	6.608 \| good	0.125 \| good
2026-03-31T10:00:00.000Z	22 \| good	4.118 \| good	6.641 \| good	23.942 \| good	0.245 \| good	4.456 \| good	0.122 \| good
2026-03-31T11:00:00.000Z	23 \| good	3.964 \| good	6.462 \| good	25.452 \| good	0.204 \| good	3.486 \| good	0.118 \| good
2026-03-31T12:00:00.000Z	25 \| good	3.51 \| good	6.798 \| good	27.138 \| good	0.199 \| good	2.694 \| good	0.116 \| good
2026-03-31T13:00:00.000Z	27 \| good	3.647 \| good	7.039 \| good	29.218 \| good	0.225 \| good	2.377 \| good	0.115 \| good
2026-03-31T14:00:00.000Z	30 \| good	3.466 \| good	7.14 \| good	32.189 \| good	0.187 \| good	1.897 \| good	0.113 \| good
2026-03-31T15:00:00.000Z	31 \| good	3.591 \| good	7.248 \| good	34.228 \| good	0.156 \| good	2.129 \| good	0.115 \| good
2026-03-31T16:00:00.000Z	33 \| good	4.15 \| good	7.786 \| good	35.997 \| good	0.209 \| good	2.858 \| good	0.119 \| good
2026-03-31T17:00:00.000Z	33 \| good	5.742 \| good	8.941 \| good	35.512 \| good	0.215 \| good	4.233 \| good	0.121 \| good
2026-03-31T18:00:00.000Z	33 \| good	5.821 \| good	9.819 \| good	33.647 \| good	0.298 \| good	5.403 \| good	0.126 \| good
2026-03-31T19:00:00.000Z	38 \| good	6.909 \| good	10.331 \| good	29.066 \| good	0.481 \| good	8.014 \| good	0.136 \| good
2026-03-31T20:00:00.000Z	44 \| good	8.248 \| good	11.99 \| good	27.229 \| good	0.524 \| good	9.909 \| good	0.139 \| good
2026-03-31T21:00:00.000Z	49 \| good	9.203 \| good	13.526 \| good	22.731 \| good	0.571 \| good	11.789 \| good	0.141 \| good
2026-03-31T22:00:00.000Z	52 \| moderate	10.108 \| good	13.976 \| good	25.731 \| good	0.555 \| good	10.917 \| good	0.14 \| good

Kearsley

Empower business decisions with accurate air quality data

Kearsley, Greater Manchester air quality map: Real-time AQI near you

0.09ppm

How accurate is Greater Manchester, UK air quality data?

Air quality measurements for Greater Manchester, UK meet strict US EPA standards. These measurements are collected from reliable sources, including satellites and ground-based monitoring systems. Advanced algorithms and machine learning techniques are applied to the data, factoring in variables such as traffic and population density, to ensure precision and reliability.

Source: Ambee Data Sources

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Frequently asked questions

How frequently is the air quality data for Kearsley, Greater Manchester updated?

Air quality data for Kearsley, Greater Manchester is updated on an hourly basis.

When did Kearsley, Greater Manchester experience the worst air quality in the last 24 hours?

The worst air quality in Kearsley, Greater Manchester was recorded at 08:00:00 on 2026-03-29.

When did Kearsley, Greater Manchester have its best air quality in the last 24 hours?

The best air quality in Kearsley, Greater Manchester was recorded at 01:00:00 on 2026-03-29.

What is the real-time air quality index for Kearsley, Greater Manchester?

The real-time air quality index in Kearsley, Greater Manchester is 36, currently categorized as Good.

Which pollutant is found most often in Kearsley, Greater Manchester?

The most common pollutant in Kearsley, Greater Manchester is O3.

What can I do if the air quality in Kearsley, Greater Manchester is poor?

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

What are the current PM_2.5 levels in Kearsley, Greater Manchester?

The measured PM_2.5 levels in Kearsley, Greater Manchester at present are 4.911 μg/m³.

What are the current PM₁₀ levels at Kearsley, Greater Manchester?

The current PM₁₀ levels in Kearsley, Greater Manchester are 10.752 μg/m³.

What are the current carbon monoxide (CO) levels at Kearsley, Greater Manchester?

The current carbon monoxide (CO) level in Kearsley, Greater Manchester is 0.085 ppm.

What are the current sulfur dioxide (SO₂) levels at Kearsley, Greater Manchester?

The current sulfur dioxide (SO₂) levels in Kearsley, Greater Manchester are 0.449 ppb.

What are the current ozone (O₃) levels at Kearsley, Greater Manchester?

The current ozone (O₃) levels at Kearsley, Greater Manchester is 39.44 ppm.

What are the current nitrogen dioxide (NO₂) levels at Kearsley, Greater Manchester?

The current nitrogen dioxide (NO₂) levels at Kearsley, Greater Manchester is 1.627 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-03-27T23:00:00.000Z	35 \| good	4.946 \| good	15.376 \| good	38.082 \| good	0.593 \| good	3.928 \| good	0.093 \| good
2026-03-28T00:00:00.000Z	37 \| good	4.946 \| good	15.642 \| good	39.992 \| good	0.454 \| good	4.337 \| good	0.273 \| good
2026-03-28T01:00:00.000Z	37 \| good	5.07 \| good	16.339 \| good	39.922 \| good	0.454 \| good	3.035 \| good	0.23 \| good
2026-03-28T02:00:00.000Z	36 \| good	5.144 \| good	16.617 \| good	38.952 \| good	0.518 \| good	2.283 \| good	0.217 \| good
2026-03-28T03:00:00.000Z	35 \| good	5.572 \| good	17.339 \| good	38.355 \| good	0.382 \| good	1.705 \| good	0.209 \| good
2026-03-28T04:00:00.000Z	36 \| good	5.721 \| good	18.202 \| good	39.002 \| good	0.42 \| good	1.065 \| good	0.203 \| good
2026-03-28T05:00:00.000Z	37 \| good	5.759 \| good	18.339 \| good	39.678 \| good	0.489 \| good	1.069 \| good	0.2 \| good
2026-03-28T06:00:00.000Z	37 \| good	5.759 \| good	19.276 \| good	40.195 \| good	0.42 \| good	0.858 \| good	0.198 \| good
2026-03-28T07:00:00.000Z	37 \| good	5.833 \| good	19.301 \| good	40.184 \| good	0.382 \| good	1.471 \| good	0.067 \| good
2026-03-28T08:00:00.000Z	36 \| good	6.074 \| good	19.654 \| good	39.359 \| good	0.451 \| good	1.537 \| good	0.076 \| good
2026-03-28T09:00:00.000Z	34 \| good	6.286 \| good	20.301 \| good	37.385 \| good	0.565 \| good	2.168 \| good	0.082 \| good
2026-03-28T10:00:00.000Z	36 \| good	6.286 \| good	20.616 \| good	39.034 \| good	0.382 \| good	2.164 \| good	0.09 \| good
2026-03-28T11:00:00.000Z	37 \| good	6.448 \| good	21.301 \| good	39.627 \| good	0.449 \| good	2.149 \| good	0.093 \| good
2026-03-28T12:00:00.000Z	38 \| good	6.646 \| good	22.239 \| good	39.982 \| good	0.455 \| good	2.036 \| good	0.089 \| good
2026-03-28T13:00:00.000Z	38 \| good	6.609 \| good	22.239 \| good	40.75 \| good	0.455 \| good	2.23 \| good	0.088 \| good
2026-03-28T14:00:00.000Z	38 \| good	6.484 \| good	21.338 \| good	40.633 \| good	0.453 \| good	2.561 \| good	0.085 \| good
2026-03-28T15:00:00.000Z	36 \| good	6.41 \| good	21.239 \| good	39.367 \| good	0.453 \| good	2.821 \| good	0.102 \| good
2026-03-28T16:00:00.000Z	37 \| good	6.02 \| good	20.338 \| good	39.974 \| good	0.453 \| good	1.744 \| good	0.089 \| good
2026-03-28T17:00:00.000Z	38 \| good	5.796 \| good	19.616 \| good	41.042 \| good	0.453 \| good	2.088 \| good	0.09 \| good
2026-03-28T18:00:00.000Z	38 \| good	5.721 \| good	18.753 \| good	41.316 \| good	0.453 \| good	1.824 \| good	0.088 \| good
2026-03-28T19:00:00.000Z	39 \| good	5.481 \| good	18.376 \| good	41.754 \| good	0.454 \| good	2.742 \| good	0.102 \| good
2026-03-28T20:00:00.000Z	36 \| good	5.331 \| good	17.753 \| good	38.75 \| good	0.526 \| good	4.498 \| good	0.105 \| good
2026-03-28T21:00:00.000Z	37 \| good	5.331 \| good	17.753 \| good	39.929 \| good	0.454 \| good	6.432 \| good	0.094 \| good
2026-03-28T22:00:00.000Z	37 \| good	5.331 \| good	17.753 \| good	39.643 \| good	0.458 \| good	7.534 \| good	0.098 \| good
2026-03-28T23:00:00.000Z	36 \| good	5.293 \| good	17.753 \| good	38.69 \| good	0.527 \| good	5.772 \| good	0.094 \| good
2026-03-29T00:00:00.000Z	34 \| good	5.293 \| good	17.642 \| good	37.454 \| good	0.518 \| good	6.094 \| good	0.266 \| good
2026-03-29T01:00:00.000Z	32 \| good	5.293 \| good	17.376 \| good	34.624 \| good	0.518 \| good	8.282 \| good	0.264 \| good
2026-03-29T02:00:00.000Z	30 \| good	5.107 \| good	16.753 \| good	31.9 \| good	0.453 \| good	9.226 \| good	0.247 \| good
2026-03-29T03:00:00.000Z	28 \| good	5.107 \| good	16.753 \| good	30.205 \| good	0.454 \| good	12.125 \| good	0.299 \| good
2026-03-29T04:00:00.000Z	27 \| good	5.107 \| good	16.679 \| good	29.022 \| good	0.489 \| good	8.475 \| good	0.285 \| good
2026-03-29T05:00:00.000Z	27 \| good	5.107 \| good	16.413 \| good	28.143 \| good	0.382 \| good	7.088 \| good	0.092 \| good
2026-03-29T06:00:00.000Z	27 \| good	5.107 \| good	16.376 \| good	27.517 \| good	0.483 \| good	5.316 \| good	0.088 \| good
2026-03-29T07:00:00.000Z	27 \| good	5.107 \| good	16.376 \| good	26.378 \| good	0.475 \| good	5.245 \| good	0.088 \| good
2026-03-29T08:00:00.000Z	27 \| good	5.082 \| good	16.301 \| good	25.429 \| good	0.532 \| good	5.484 \| good	0.096 \| good
2026-03-29T09:00:00.000Z	27 \| good	4.883 \| good	15.438 \| good	24.741 \| good	0.53 \| good	5.874 \| good	0.109 \| good
2026-03-29T10:00:00.000Z	27 \| good	4.642 \| good	15.438 \| good	24.63 \| good	0.382 \| good	4.985 \| good	0.105 \| good
2026-03-29T11:00:00.000Z	27 \| good	4.642 \| good	15.339 \| good	26.834 \| good	0.382 \| good	5.011 \| good	0.082 \| good
2026-03-29T12:00:00.000Z	27 \| good	4.518 \| good	14.438 \| good	27.276 \| good	0.455 \| good	7.108 \| good	0.08 \| good
2026-03-29T13:00:00.000Z	25 \| good	4.48 \| good	14.364 \| good	27.04 \| good	0.431 \| good	9.218 \| good	0.092 \| good
2026-03-29T14:00:00.000Z	27 \| good	4.48 \| good	14.098 \| good	28.9 \| good	0.453 \| good	7.158 \| good	0.086 \| good
2026-03-29T15:00:00.000Z	29 \| good	4.293 \| good	13.401 \| good	30.998 \| good	0.453 \| good	6.191 \| good	0.09 \| good
2026-03-29T16:00:00.000Z	31 \| good	4.194 \| good	13.339 \| good	33.513 \| good	0.453 \| good	6.44 \| good	0.09 \| good
2026-03-29T17:00:00.000Z	35 \| good	3.829 \| good	12.401 \| good	37.928 \| good	0.415 \| good	4.555 \| good	0.088 \| good
2026-03-29T18:00:00.000Z	34 \| good	3.829 \| good	12.401 \| good	37.42 \| good	0.453 \| good	2.162 \| good	0.086 \| good
2026-03-29T19:00:00.000Z	35 \| good	3.829 \| good	12.401 \| good	38.003 \| good	0.382 \| good	1.867 \| good	0.098 \| good
2026-03-29T20:00:00.000Z	37 \| good	3.829 \| good	12.327 \| good	40.251 \| good	0.519 \| good	2.222 \| good	0.125 \| good
2026-03-29T21:00:00.000Z	34 \| good	4.194 \| good	13.024 \| good	37.397 \| good	0.453 \| good	1.432 \| good	0.085 \| good
2026-03-29T22:00:00.000Z	36 \| good	4.911 \| good	10.752 \| good	39.44 \| good	0.449 \| good	1.627 \| good	0.085 \| good
2026-03-29T23:00:00.000Z	44 \| good	5.332 \| good	17.041 \| good	48.16 \| good	0.169 \| good	1.362 \| good	0.116 \| good
2026-03-30T00:00:00.000Z	44 \| good	5.474 \| good	17.309 \| good	48.158 \| good	0.153 \| good	1.189 \| good	0.117 \| good
2026-03-30T01:00:00.000Z	44 \| good	5.53 \| good	16.141 \| good	48.275 \| good	0.155 \| good	0.971 \| good	0.116 \| good
2026-03-30T02:00:00.000Z	44 \| good	5.504 \| good	14.623 \| good	48.342 \| good	0.145 \| good	0.786 \| good	0.116 \| good
2026-03-30T03:00:00.000Z	44 \| good	5.487 \| good	13.846 \| good	48.028 \| good	0.141 \| good	0.772 \| good	0.118 \| good
2026-03-30T04:00:00.000Z	44 \| good	5.506 \| good	13.348 \| good	47.543 \| good	0.141 \| good	0.8 \| good	0.118 \| good
2026-03-30T05:00:00.000Z	44 \| good	5.538 \| good	13.185 \| good	47.413 \| good	0.137 \| good	0.946 \| good	0.118 \| good
2026-03-30T06:00:00.000Z	44 \| good	5.491 \| good	12.563 \| good	46.834 \| good	0.157 \| good	1.541 \| good	0.119 \| good
2026-03-30T07:00:00.000Z	44 \| good	5.281 \| good	12.49 \| good	46.635 \| good	0.193 \| good	2.653 \| good	0.126 \| good
2026-03-30T08:00:00.000Z	44 \| good	5.104 \| good	12.206 \| good	47.429 \| good	0.201 \| good	2.358 \| good	0.126 \| good
2026-03-30T09:00:00.000Z	44 \| good	4.904 \| good	11.521 \| good	48.281 \| good	0.181 \| good	1.768 \| good	0.123 \| good
2026-03-30T10:00:00.000Z	45 \| good	4.293 \| good	11.337 \| good	49.082 \| good	0.157 \| good	1.382 \| good	0.122 \| good
2026-03-30T11:00:00.000Z	46 \| good	4.415 \| good	10.646 \| good	50.21 \| good	0.142 \| good	1.193 \| good	0.121 \| good
2026-03-30T12:00:00.000Z	46 \| good	4.211 \| good	10.722 \| good	49.687 \| good	0.143 \| good	1.093 \| good	0.123 \| good
2026-03-30T13:00:00.000Z	46 \| good	4.009 \| good	10.516 \| good	50.284 \| good	0.158 \| good	1.094 \| good	0.122 \| good
2026-03-30T14:00:00.000Z	46 \| good	3.819 \| good	10.285 \| good	50.455 \| good	0.156 \| good	1.103 \| good	0.122 \| good
2026-03-30T15:00:00.000Z	47 \| good	3.795 \| good	10.792 \| good	51.153 \| good	0.147 \| good	1.245 \| good	0.122 \| good
2026-03-30T16:00:00.000Z	47 \| good	3.98 \| good	11.409 \| good	50.655 \| good	0.157 \| good	1.458 \| good	0.124 \| good
2026-03-30T17:00:00.000Z	46 \| good	4.371 \| good	12.566 \| good	49.911 \| good	0.182 \| good	1.986 \| good	0.129 \| good
2026-03-30T18:00:00.000Z	44 \| good	4.791 \| good	13.842 \| good	48.383 \| good	0.217 \| good	2.753 \| good	0.13 \| good
2026-03-30T19:00:00.000Z	44 \| good	4.927 \| good	14.658 \| good	47.285 \| good	0.264 \| good	3.34 \| good	0.128 \| good
2026-03-30T20:00:00.000Z	44 \| good	4.809 \| good	14.798 \| good	46.995 \| good	0.3 \| good	2.816 \| good	0.126 \| good
2026-03-30T21:00:00.000Z	43 \| good	4.693 \| good	14.151 \| good	46.498 \| good	0.295 \| good	3.37 \| good	0.126 \| good
2026-03-30T22:00:00.000Z	43 \| good	4.726 \| good	12.925 \| good	45.646 \| good	0.271 \| good	3.051 \| good	0.126 \| good
2026-03-30T23:00:00.000Z	42 \| good	4.584 \| good	12.664 \| good	44.634 \| good	0.25 \| good	2.804 \| good	0.126 \| good
2026-03-31T00:00:00.000Z	41 \| good	4.61 \| good	12.951 \| good	43.78 \| good	0.207 \| good	2.67 \| good	0.127 \| good
2026-03-31T01:00:00.000Z	39 \| good	5.16 \| good	13.102 \| good	41.948 \| good	0.213 \| good	2.487 \| good	0.126 \| good
2026-03-31T02:00:00.000Z	34 \| good	4.558 \| good	11.775 \| good	36.688 \| good	0.242 \| good	2.782 \| good	0.127 \| good
2026-03-31T03:00:00.000Z	31 \| good	5.209 \| good	9.875 \| good	33.498 \| good	0.269 \| good	3.157 \| good	0.127 \| good
2026-03-31T04:00:00.000Z	33 \| good	5.583 \| good	10.261 \| good	29.728 \| good	0.234 \| good	3.385 \| good	0.127 \| good
2026-03-31T05:00:00.000Z	33 \| good	5.96 \| good	10.376 \| good	26.724 \| good	0.232 \| good	4.132 \| good	0.127 \| good
2026-03-31T06:00:00.000Z	33 \| good	6.094 \| good	9.921 \| good	23.557 \| good	0.282 \| good	4.653 \| good	0.129 \| good
2026-03-31T07:00:00.000Z	33 \| good	6.264 \| good	9.231 \| good	22.814 \| good	0.329 \| good	7.895 \| good	0.133 \| good
2026-03-31T08:00:00.000Z	33 \| good	6.494 \| good	9.348 \| good	22.848 \| good	0.334 \| good	8.236 \| good	0.132 \| good
2026-03-31T09:00:00.000Z	27 \| good	5.058 \| good	7.806 \| good	22.142 \| good	0.305 \| good	6.608 \| good	0.125 \| good
2026-03-31T10:00:00.000Z	22 \| good	4.118 \| good	6.641 \| good	23.942 \| good	0.245 \| good	4.456 \| good	0.122 \| good
2026-03-31T11:00:00.000Z	23 \| good	3.964 \| good	6.462 \| good	25.452 \| good	0.204 \| good	3.486 \| good	0.118 \| good
2026-03-31T12:00:00.000Z	25 \| good	3.51 \| good	6.798 \| good	27.138 \| good	0.199 \| good	2.694 \| good	0.116 \| good
2026-03-31T13:00:00.000Z	27 \| good	3.647 \| good	7.039 \| good	29.218 \| good	0.225 \| good	2.377 \| good	0.115 \| good
2026-03-31T14:00:00.000Z	30 \| good	3.466 \| good	7.14 \| good	32.189 \| good	0.187 \| good	1.897 \| good	0.113 \| good
2026-03-31T15:00:00.000Z	31 \| good	3.591 \| good	7.248 \| good	34.228 \| good	0.156 \| good	2.129 \| good	0.115 \| good
2026-03-31T16:00:00.000Z	33 \| good	4.15 \| good	7.786 \| good	35.997 \| good	0.209 \| good	2.858 \| good	0.119 \| good
2026-03-31T17:00:00.000Z	33 \| good	5.742 \| good	8.941 \| good	35.512 \| good	0.215 \| good	4.233 \| good	0.121 \| good
2026-03-31T18:00:00.000Z	33 \| good	5.821 \| good	9.819 \| good	33.647 \| good	0.298 \| good	5.403 \| good	0.126 \| good
2026-03-31T19:00:00.000Z	38 \| good	6.909 \| good	10.331 \| good	29.066 \| good	0.481 \| good	8.014 \| good	0.136 \| good
2026-03-31T20:00:00.000Z	44 \| good	8.248 \| good	11.99 \| good	27.229 \| good	0.524 \| good	9.909 \| good	0.139 \| good
2026-03-31T21:00:00.000Z	49 \| good	9.203 \| good	13.526 \| good	22.731 \| good	0.571 \| good	11.789 \| good	0.141 \| good
2026-03-31T22:00:00.000Z	52 \| moderate	10.108 \| good	13.976 \| good	25.731 \| good	0.555 \| good	10.917 \| good	0.14 \| good

Real-time air quality index in Kearsley, Greater Manchester today

Common air pollutants in Kearsley, Greater Manchester

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Kearsley, Greater Manchester air quality forecast and history

Empower business decisions with accurate air quality data

Kearsley, Greater Manchester air quality map: Real-time AQI near you

Air quality in nearby cities

Farnworth, Greater Manchester

Clifton, Greater Manchester

Walkden, Greater Manchester

Little Lever, Greater Manchester

Little Hulton, Greater Manchester

Swinton, Greater Manchester

How accurate is Greater Manchester, UK air quality data?

Air quality levels in UK

Frequently asked questions

How frequently is the air quality data for Kearsley, Greater Manchester updated?

When did Kearsley, Greater Manchester experience the worst air quality in the last 24 hours?

When did Kearsley, Greater Manchester have its best air quality in the last 24 hours?

What is the real-time air quality index for Kearsley, Greater Manchester?

Which pollutant is found most often in Kearsley, Greater Manchester?

What can I do if the air quality in Kearsley, Greater Manchester is poor?

What are the current PM2.5 levels in Kearsley, Greater Manchester?

What are the current PM10 levels at Kearsley, Greater Manchester?

What are the current carbon monoxide (CO) levels at Kearsley, Greater Manchester?

What are the current sulfur dioxide (SO2) levels at Kearsley, Greater Manchester?

What are the current ozone (O3) levels at Kearsley, Greater Manchester?

What are the current nitrogen dioxide (NO2) levels at Kearsley, Greater Manchester?

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 Kearsley, Greater Manchester?

What are the current PM₁₀ levels at Kearsley, Greater Manchester?

What are the current sulfur dioxide (SO₂) levels at Kearsley, Greater Manchester?

What are the current ozone (O₃) levels at Kearsley, Greater Manchester?

What are the current nitrogen dioxide (NO₂) levels at Kearsley, Greater Manchester?