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

The current PM10 levels in Worsley, Greater Manchester are 11.657 μg/m3.

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

The current sulfur dioxide (SO2) levels in Worsley, Greater Manchester are 0.778 ppb.

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

The current ozone (O3) levels at Worsley, Greater Manchester is 21.913 ppm.

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

The current nitrogen dioxide (NO2) levels at Worsley, Greater Manchester is 23.212 ppb.

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

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

The measured PM2.5 levels in Worsley, Greater Manchester at present are 4.594 μg/m3.

Stay updated with real-time air quality in Worsley, 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

Worsley, Greater Manchester

Last updated: ... (Local time)

Common air pollutants in Worsley, Greater Manchester

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

4.59 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

11.66 μg/m³

155

255

425

605+

Ozone (O₃)

21.91 ppb

201

201+

Sulfur Dioxide (SO₂)

0.78 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

23.21 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.35 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Worsley, Greater Manchester

Get Live Pollen Counts

Worsley, Greater Manchester

Scroll To Air Quality Map

Track live Worsley, Greater Manchester air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-09-27T00:00:00.000Z	27 \| good	5.495 \| good	10.517 \| good	17.222 \| good	0.472 \| good	14.08 \| good	0.227 \| good
2026-09-27T01:00:00.000Z	33 \| good	5.508 \| good	10.582 \| good	14.977 \| good	0.384 \| good	11.5 \| good	0.229 \| good
2026-09-27T02:00:00.000Z	27 \| good	5.469 \| good	10.582 \| good	12.391 \| good	0.596 \| good	10.89 \| good	0.212 \| good
2026-09-27T03:00:00.000Z	27 \| good	5.469 \| good	10.47 \| good	11.033 \| good	0.493 \| good	9.948 \| good	0.217 \| good
2026-09-27T04:00:00.000Z	27 \| good	5.344 \| good	10.405 \| good	9.806 \| good	0.458 \| good	9.319 \| good	0.205 \| good
2026-09-27T05:00:00.000Z	27 \| good	5.344 \| good	10.405 \| good	9.548 \| good	0.462 \| good	8.509 \| good	0.059 \| good
2026-09-27T06:00:00.000Z	27 \| good	5.344 \| good	10.405 \| good	9.752 \| good	0.382 \| good	7.988 \| good	0.055 \| good
2026-09-27T07:00:00.000Z	27 \| good	5.344 \| good	10.405 \| good	11.226 \| good	0.46 \| good	6.631 \| good	0.057 \| good
2026-09-27T08:00:00.000Z	27 \| good	5.275 \| good	10.405 \| good	13.018 \| good	0.46 \| good	5.246 \| good	0.059 \| good
2026-09-27T09:00:00.000Z	27 \| good	5.275 \| good	10.405 \| good	14.241 \| good	0.433 \| good	5.872 \| good	0.057 \| good
2026-09-27T10:00:00.000Z	27 \| good	5.275 \| good	10.337 \| good	15.936 \| good	0.471 \| good	6.628 \| good	0.069 \| good
2026-09-27T11:00:00.000Z	27 \| good	5.275 \| good	10.337 \| good	18.193 \| good	0.544 \| good	4.789 \| good	0.056 \| good
2026-09-27T12:00:00.000Z	27 \| good	5.275 \| good	10.337 \| good	20.497 \| good	0.978 \| good	4.227 \| good	0.053 \| good
2026-09-27T13:00:00.000Z	27 \| good	5.325 \| good	10.272 \| good	23.347 \| good	0.765 \| good	3.987 \| good	0.05 \| good
2026-09-27T14:00:00.000Z	27 \| good	5.437 \| good	10.948 \| good	26.239 \| good	0.84 \| good	2.949 \| good	0.051 \| good
2026-09-27T15:00:00.000Z	27 \| good	5.437 \| good	11.129 \| good	28.106 \| good	0.839 \| good	2.602 \| good	0.054 \| good
2026-09-27T16:00:00.000Z	27 \| good	5.456 \| good	11.194 \| good	29.05 \| good	0.654 \| good	3.731 \| good	0.052 \| good
2026-09-27T17:00:00.000Z	28 \| good	5.437 \| good	11.129 \| good	30.333 \| good	0.533 \| good	2.727 \| good	0.053 \| good
2026-09-27T18:00:00.000Z	31 \| good	5.437 \| good	10.948 \| good	32.686 \| good	0.495 \| good	1.631 \| good	0.063 \| good
2026-09-27T19:00:00.000Z	31 \| good	5.325 \| good	10.194 \| good	33.765 \| good	0.494 \| good	2.385 \| good	0.074 \| good
2026-09-27T20:00:00.000Z	31 \| good	5.243 \| good	10.129 \| good	34.224 \| good	0.497 \| good	3.162 \| good	0.084 \| good
2026-09-27T21:00:00.000Z	31 \| good	5.204 \| good	10.129 \| good	34.05 \| good	0.503 \| good	3.286 \| good	0.103 \| good
2026-09-27T22:00:00.000Z	31 \| good	5.185 \| good	9.996 \| good	32.872 \| good	0.691 \| good	5.542 \| good	0.086 \| good
2026-09-27T23:00:00.000Z	28 \| good	5.116 \| good	9.884 \| good	30.465 \| good	0.462 \| good	8.726 \| good	0.094 \| good
2026-09-28T00:00:00.000Z	27 \| good	5.116 \| good	9.776 \| good	28.011 \| good	0.459 \| good	10.596 \| good	0.255 \| good
2026-09-28T01:00:00.000Z	23 \| good	4.387 \| good	8.996 \| good	24.824 \| good	0.497 \| good	9.076 \| good	0.18 \| good
2026-09-28T02:00:00.000Z	22 \| good	4.207 \| good	8.996 \| good	20.423 \| good	0.461 \| good	9.675 \| good	0.226 \| good
2026-09-28T03:00:00.000Z	22 \| good	4.207 \| good	8.927 \| good	16.549 \| good	0.58 \| good	8.686 \| good	0.214 \| good
2026-09-28T04:00:00.000Z	22 \| good	4.168 \| good	8.927 \| good	13.44 \| good	0.575 \| good	8.451 \| good	0.218 \| good
2026-09-28T05:00:00.000Z	22 \| good	4.168 \| good	8.927 \| good	10.378 \| good	0.464 \| good	7.993 \| good	0.197 \| good
2026-09-28T06:00:00.000Z	22 \| good	4.168 \| good	8.927 \| good	8.096 \| good	0.651 \| good	8.916 \| good	0.21 \| good
2026-09-28T07:00:00.000Z	22 \| good	4.155 \| good	8.862 \| good	5.919 \| good	1.173 \| good	9.058 \| good	0.279 \| good
2026-09-28T08:00:00.000Z	22 \| good	4.168 \| good	8.888 \| good	4.753 \| good	0.891 \| good	9.76 \| good	0.264 \| good
2026-09-28T09:00:00.000Z	22 \| good	4.224 \| good	8.215 \| good	4.033 \| good	0.855 \| good	10.828 \| good	0.235 \| good
2026-09-28T10:00:00.000Z	22 \| good	4.237 \| good	8.28 \| good	3.798 \| good	0.751 \| good	12.908 \| good	0.221 \| good
2026-09-28T11:00:00.000Z	22 \| good	4.237 \| good	8.461 \| good	4.124 \| good	0.711 \| good	13 \| good	0.212 \| good
2026-09-28T12:00:00.000Z	22 \| good	4.249 \| good	8.526 \| good	5.444 \| good	1.489 \| good	11.382 \| good	0.188 \| good
2026-09-28T13:00:00.000Z	22 \| good	3.534 \| good	8.565 \| good	7.665 \| good	1.197 \| good	6.908 \| good	0.165 \| good
2026-09-28T14:00:00.000Z	16 \| good	3.465 \| good	8.565 \| good	11.521 \| good	1.203 \| good	4.1 \| good	0.162 \| good
2026-09-28T15:00:00.000Z	16 \| good	3.465 \| good	8.384 \| good	15.57 \| good	1.018 \| good	4.127 \| good	0.156 \| good
2026-09-28T16:00:00.000Z	19 \| good	3.465 \| good	8.345 \| good	19.585 \| good	0.714 \| good	3.95 \| good	0.153 \| good
2026-09-28T17:00:00.000Z	21 \| good	3.465 \| good	8.414 \| good	23.206 \| good	0.427 \| good	4.371 \| good	0.169 \| good
2026-09-28T18:00:00.000Z	25 \| good	3.465 \| good	8.453 \| good	26.681 \| good	0.464 \| good	7.539 \| good	0.217 \| good
2026-09-28T19:00:00.000Z	26 \| good	3.534 \| good	8.565 \| good	28.354 \| good	0.468 \| good	11.856 \| good	0.253 \| good
2026-09-28T20:00:00.000Z	26 \| good	3.553 \| good	8.629 \| good	27.922 \| good	0.626 \| good	15.259 \| good	0.324 \| good
2026-09-28T21:00:00.000Z	24 \| good	4.308 \| good	9.453 \| good	25.748 \| good	0.91 \| good	15.722 \| good	0.312 \| good
2026-09-28T22:00:00.000Z	22 \| good	4.308 \| good	9.565 \| good	22.291 \| good	0.825 \| good	20 \| good	0.352 \| good
2026-09-28T23:00:00.000Z	27 \| good	4.594 \| good	11.657 \| good	21.913 \| good	0.778 \| good	23.212 \| good	0.352 \| good
2026-09-29T00:00:00.000Z	44 \| good	7.655 \| good	12.675 \| good	21.831 \| good	0.57 \| good	8.726 \| good	0.163 \| good
2026-09-29T01:00:00.000Z	38 \| good	6.674 \| good	10.815 \| good	23.521 \| good	0.481 \| good	6.67 \| good	0.155 \| good
2026-09-29T02:00:00.000Z	33 \| good	5.797 \| good	8.715 \| good	26.69 \| good	0.351 \| good	4.621 \| good	0.148 \| good
2026-09-29T03:00:00.000Z	27 \| good	4.897 \| good	7.099 \| good	28.028 \| good	0.259 \| good	3.709 \| good	0.142 \| good
2026-09-29T04:00:00.000Z	26 \| good	4.282 \| good	6.688 \| good	27.916 \| good	0.206 \| good	3.255 \| good	0.14 \| good
2026-09-29T05:00:00.000Z	26 \| good	4.014 \| good	6.733 \| good	27.521 \| good	0.205 \| good	3.418 \| good	0.138 \| good
2026-09-29T06:00:00.000Z	25 \| good	4.371 \| good	7.033 \| good	26.812 \| good	0.24 \| good	4.156 \| good	0.139 \| good
2026-09-29T07:00:00.000Z	26 \| good	4.406 \| good	7.484 \| good	27.658 \| good	0.292 \| good	5.831 \| good	0.15 \| good
2026-09-29T08:00:00.000Z	26 \| good	4.271 \| good	7.241 \| good	27.519 \| good	0.316 \| good	6.513 \| good	0.146 \| good
2026-09-29T09:00:00.000Z	27 \| good	3.818 \| good	6.591 \| good	28.899 \| good	0.24 \| good	5.124 \| good	0.138 \| good
2026-09-29T10:00:00.000Z	28 \| good	3.653 \| good	6.71 \| good	30.143 \| good	0.211 \| good	4.495 \| good	0.136 \| good
2026-09-29T11:00:00.000Z	29 \| good	3.45 \| good	5.912 \| good	30.991 \| good	0.179 \| good	4.044 \| good	0.132 \| good
2026-09-29T12:00:00.000Z	29 \| good	3.555 \| good	5.368 \| good	31.021 \| good	0.179 \| good	3.495 \| good	0.132 \| good
2026-09-29T13:00:00.000Z	31 \| good	3.796 \| good	5.703 \| good	32.959 \| good	0.179 \| good	3.326 \| good	0.134 \| good
2026-09-29T14:00:00.000Z	31 \| good	4.292 \| good	6.791 \| good	33.326 \| good	0.183 \| good	3.756 \| good	0.138 \| good
2026-09-29T15:00:00.000Z	32 \| good	5.192 \| good	8.262 \| good	34.502 \| good	0.195 \| good	3.991 \| good	0.143 \| good
2026-09-29T16:00:00.000Z	33 \| good	5.946 \| good	9.634 \| good	35.382 \| good	0.244 \| good	4.42 \| good	0.146 \| good
2026-09-29T17:00:00.000Z	38 \| good	6.864 \| good	10.668 \| good	35.606 \| good	0.312 \| good	5.344 \| good	0.151 \| good
2026-09-29T18:00:00.000Z	44 \| good	7.506 \| good	11.524 \| good	38.129 \| good	0.369 \| good	6.235 \| good	0.153 \| good
2026-09-29T19:00:00.000Z	44 \| good	7.794 \| good	12.217 \| good	39.682 \| good	0.412 \| good	6.01 \| good	0.154 \| good
2026-09-29T20:00:00.000Z	44 \| good	8.203 \| good	12.449 \| good	38.481 \| good	0.426 \| good	5.93 \| good	0.159 \| good
2026-09-29T21:00:00.000Z	49 \| good	8.699 \| good	13.416 \| good	36.638 \| good	0.433 \| good	5.792 \| good	0.161 \| good
2026-09-29T22:00:00.000Z	52 \| moderate	10.26 \| good	14.18 \| good	35.061 \| good	0.385 \| good	5.315 \| good	0.153 \| good
2026-09-29T23:00:00.000Z	54 \| moderate	11.072 \| good	14.151 \| good	34.358 \| good	0.328 \| good	4.895 \| good	0.148 \| good
2026-09-30T00:00:00.000Z	52 \| moderate	10.382 \| good	12.701 \| good	34.516 \| good	0.308 \| good	4.32 \| good	0.144 \| good
2026-09-30T01:00:00.000Z	44 \| good	8.495 \| good	11.238 \| good	35.55 \| good	0.264 \| good	3.535 \| good	0.139 \| good
2026-09-30T02:00:00.000Z	38 \| good	6.83 \| good	10.241 \| good	36.016 \| good	0.234 \| good	2.835 \| good	0.132 \| good
2026-09-30T03:00:00.000Z	33 \| good	6.497 \| good	9.36 \| good	35.588 \| good	0.208 \| good	2.483 \| good	0.131 \| good
2026-09-30T04:00:00.000Z	33 \| good	6.308 \| good	9.563 \| good	34.717 \| good	0.207 \| good	2.481 \| good	0.129 \| good
2026-09-30T05:00:00.000Z	33 \| good	6.494 \| good	8.508 \| good	33.36 \| good	0.204 \| good	2.738 \| good	0.127 \| good
2026-09-30T06:00:00.000Z	33 \| good	6.374 \| good	8.404 \| good	31.891 \| good	0.204 \| good	3.543 \| good	0.125 \| good
2026-09-30T07:00:00.000Z	33 \| good	6.245 \| good	8.346 \| good	29.577 \| good	0.215 \| good	4.11 \| good	0.126 \| good
2026-09-30T08:00:00.000Z	33 \| good	5.657 \| good	7.18 \| good	28.141 \| good	0.205 \| good	4.995 \| good	0.131 \| good
2026-09-30T09:00:00.000Z	27 \| good	4.672 \| good	6.25 \| good	28.548 \| good	0.187 \| good	4.848 \| good	0.123 \| good
2026-09-30T10:00:00.000Z	28 \| good	4.392 \| good	6.42 \| good	30.082 \| good	0.183 \| good	3.468 \| good	0.118 \| good
2026-09-30T11:00:00.000Z	29 \| good	4.31 \| good	6.986 \| good	31.153 \| good	0.162 \| good	2.392 \| good	0.115 \| good
2026-09-30T12:00:00.000Z	31 \| good	4.394 \| good	7.3 \| good	33.266 \| good	0.162 \| good	1.948 \| good	0.118 \| good
2026-09-30T13:00:00.000Z	32 \| good	4.312 \| good	8.208 \| good	34.967 \| good	0.178 \| good	1.682 \| good	0.125 \| good
2026-09-30T14:00:00.000Z	33 \| good	4.342 \| good	8.552 \| good	35.855 \| good	0.174 \| good	1.811 \| good	0.129 \| good
2026-09-30T15:00:00.000Z	33 \| good	4.317 \| good	9.038 \| good	36.183 \| good	0.182 \| good	2.222 \| good	0.132 \| good
2026-09-30T16:00:00.000Z	32 \| good	4.339 \| good	9.255 \| good	35.104 \| good	0.199 \| good	2.807 \| good	0.135 \| good
2026-09-30T17:00:00.000Z	31 \| good	4.975 \| good	10.113 \| good	33.868 \| good	0.254 \| good	3.952 \| good	0.142 \| good
2026-09-30T18:00:00.000Z	33 \| good	5.509 \| good	11.607 \| good	31.947 \| good	0.314 \| good	5.371 \| good	0.152 \| good
2026-09-30T19:00:00.000Z	33 \| good	5.932 \| good	12.306 \| good	28.227 \| good	0.353 \| good	6.603 \| good	0.15 \| good
2026-09-30T20:00:00.000Z	33 \| good	6.067 \| good	13.055 \| good	25.204 \| good	0.393 \| good	7.025 \| good	0.143 \| good
2026-09-30T21:00:00.000Z	33 \| good	6.11 \| good	13.692 \| good	24.337 \| good	0.4 \| good	6.927 \| good	0.145 \| good
2026-09-30T22:00:00.000Z	33 \| good	6.318 \| good	13.369 \| good	23.344 \| good	0.385 \| good	7.24 \| good	0.148 \| good
2026-09-30T23:00:00.000Z	33 \| good	6.355 \| good	12.83 \| good	22.146 \| good	0.347 \| good	6.9 \| good	0.15 \| good

Worsley

Empower business decisions with accurate air quality data

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

0.35ppm

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 Worsley, Greater Manchester updated?

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

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

The worst air quality in Worsley, Greater Manchester was recorded at 11:00:00 on 2026-09-27.

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

The best air quality in Worsley, Greater Manchester was recorded at 03:00:00 on 2026-09-28.

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

The real-time air quality index in Worsley, Greater Manchester is 27, currently categorized as Good.

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

The most common pollutant in Worsley, Greater Manchester is PM2.5.

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

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

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

The measured PM_2.5 levels in Worsley, Greater Manchester at present are 4.594 μg/m³.

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

The current PM₁₀ levels in Worsley, Greater Manchester are 11.657 μg/m³.

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

The current carbon monoxide (CO) level in Worsley, Greater Manchester is 0.352 ppm.

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

The current sulfur dioxide (SO₂) levels in Worsley, Greater Manchester are 0.778 ppb.

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

The current ozone (O₃) levels at Worsley, Greater Manchester is 21.913 ppm.

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

The current nitrogen dioxide (NO₂) levels at Worsley, Greater Manchester is 23.212 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-09-27T00:00:00.000Z	27 \| good	5.495 \| good	10.517 \| good	17.222 \| good	0.472 \| good	14.08 \| good	0.227 \| good
2026-09-27T01:00:00.000Z	33 \| good	5.508 \| good	10.582 \| good	14.977 \| good	0.384 \| good	11.5 \| good	0.229 \| good
2026-09-27T02:00:00.000Z	27 \| good	5.469 \| good	10.582 \| good	12.391 \| good	0.596 \| good	10.89 \| good	0.212 \| good
2026-09-27T03:00:00.000Z	27 \| good	5.469 \| good	10.47 \| good	11.033 \| good	0.493 \| good	9.948 \| good	0.217 \| good
2026-09-27T04:00:00.000Z	27 \| good	5.344 \| good	10.405 \| good	9.806 \| good	0.458 \| good	9.319 \| good	0.205 \| good
2026-09-27T05:00:00.000Z	27 \| good	5.344 \| good	10.405 \| good	9.548 \| good	0.462 \| good	8.509 \| good	0.059 \| good
2026-09-27T06:00:00.000Z	27 \| good	5.344 \| good	10.405 \| good	9.752 \| good	0.382 \| good	7.988 \| good	0.055 \| good
2026-09-27T07:00:00.000Z	27 \| good	5.344 \| good	10.405 \| good	11.226 \| good	0.46 \| good	6.631 \| good	0.057 \| good
2026-09-27T08:00:00.000Z	27 \| good	5.275 \| good	10.405 \| good	13.018 \| good	0.46 \| good	5.246 \| good	0.059 \| good
2026-09-27T09:00:00.000Z	27 \| good	5.275 \| good	10.405 \| good	14.241 \| good	0.433 \| good	5.872 \| good	0.057 \| good
2026-09-27T10:00:00.000Z	27 \| good	5.275 \| good	10.337 \| good	15.936 \| good	0.471 \| good	6.628 \| good	0.069 \| good
2026-09-27T11:00:00.000Z	27 \| good	5.275 \| good	10.337 \| good	18.193 \| good	0.544 \| good	4.789 \| good	0.056 \| good
2026-09-27T12:00:00.000Z	27 \| good	5.275 \| good	10.337 \| good	20.497 \| good	0.978 \| good	4.227 \| good	0.053 \| good
2026-09-27T13:00:00.000Z	27 \| good	5.325 \| good	10.272 \| good	23.347 \| good	0.765 \| good	3.987 \| good	0.05 \| good
2026-09-27T14:00:00.000Z	27 \| good	5.437 \| good	10.948 \| good	26.239 \| good	0.84 \| good	2.949 \| good	0.051 \| good
2026-09-27T15:00:00.000Z	27 \| good	5.437 \| good	11.129 \| good	28.106 \| good	0.839 \| good	2.602 \| good	0.054 \| good
2026-09-27T16:00:00.000Z	27 \| good	5.456 \| good	11.194 \| good	29.05 \| good	0.654 \| good	3.731 \| good	0.052 \| good
2026-09-27T17:00:00.000Z	28 \| good	5.437 \| good	11.129 \| good	30.333 \| good	0.533 \| good	2.727 \| good	0.053 \| good
2026-09-27T18:00:00.000Z	31 \| good	5.437 \| good	10.948 \| good	32.686 \| good	0.495 \| good	1.631 \| good	0.063 \| good
2026-09-27T19:00:00.000Z	31 \| good	5.325 \| good	10.194 \| good	33.765 \| good	0.494 \| good	2.385 \| good	0.074 \| good
2026-09-27T20:00:00.000Z	31 \| good	5.243 \| good	10.129 \| good	34.224 \| good	0.497 \| good	3.162 \| good	0.084 \| good
2026-09-27T21:00:00.000Z	31 \| good	5.204 \| good	10.129 \| good	34.05 \| good	0.503 \| good	3.286 \| good	0.103 \| good
2026-09-27T22:00:00.000Z	31 \| good	5.185 \| good	9.996 \| good	32.872 \| good	0.691 \| good	5.542 \| good	0.086 \| good
2026-09-27T23:00:00.000Z	28 \| good	5.116 \| good	9.884 \| good	30.465 \| good	0.462 \| good	8.726 \| good	0.094 \| good
2026-09-28T00:00:00.000Z	27 \| good	5.116 \| good	9.776 \| good	28.011 \| good	0.459 \| good	10.596 \| good	0.255 \| good
2026-09-28T01:00:00.000Z	23 \| good	4.387 \| good	8.996 \| good	24.824 \| good	0.497 \| good	9.076 \| good	0.18 \| good
2026-09-28T02:00:00.000Z	22 \| good	4.207 \| good	8.996 \| good	20.423 \| good	0.461 \| good	9.675 \| good	0.226 \| good
2026-09-28T03:00:00.000Z	22 \| good	4.207 \| good	8.927 \| good	16.549 \| good	0.58 \| good	8.686 \| good	0.214 \| good
2026-09-28T04:00:00.000Z	22 \| good	4.168 \| good	8.927 \| good	13.44 \| good	0.575 \| good	8.451 \| good	0.218 \| good
2026-09-28T05:00:00.000Z	22 \| good	4.168 \| good	8.927 \| good	10.378 \| good	0.464 \| good	7.993 \| good	0.197 \| good
2026-09-28T06:00:00.000Z	22 \| good	4.168 \| good	8.927 \| good	8.096 \| good	0.651 \| good	8.916 \| good	0.21 \| good
2026-09-28T07:00:00.000Z	22 \| good	4.155 \| good	8.862 \| good	5.919 \| good	1.173 \| good	9.058 \| good	0.279 \| good
2026-09-28T08:00:00.000Z	22 \| good	4.168 \| good	8.888 \| good	4.753 \| good	0.891 \| good	9.76 \| good	0.264 \| good
2026-09-28T09:00:00.000Z	22 \| good	4.224 \| good	8.215 \| good	4.033 \| good	0.855 \| good	10.828 \| good	0.235 \| good
2026-09-28T10:00:00.000Z	22 \| good	4.237 \| good	8.28 \| good	3.798 \| good	0.751 \| good	12.908 \| good	0.221 \| good
2026-09-28T11:00:00.000Z	22 \| good	4.237 \| good	8.461 \| good	4.124 \| good	0.711 \| good	13 \| good	0.212 \| good
2026-09-28T12:00:00.000Z	22 \| good	4.249 \| good	8.526 \| good	5.444 \| good	1.489 \| good	11.382 \| good	0.188 \| good
2026-09-28T13:00:00.000Z	22 \| good	3.534 \| good	8.565 \| good	7.665 \| good	1.197 \| good	6.908 \| good	0.165 \| good
2026-09-28T14:00:00.000Z	16 \| good	3.465 \| good	8.565 \| good	11.521 \| good	1.203 \| good	4.1 \| good	0.162 \| good
2026-09-28T15:00:00.000Z	16 \| good	3.465 \| good	8.384 \| good	15.57 \| good	1.018 \| good	4.127 \| good	0.156 \| good
2026-09-28T16:00:00.000Z	19 \| good	3.465 \| good	8.345 \| good	19.585 \| good	0.714 \| good	3.95 \| good	0.153 \| good
2026-09-28T17:00:00.000Z	21 \| good	3.465 \| good	8.414 \| good	23.206 \| good	0.427 \| good	4.371 \| good	0.169 \| good
2026-09-28T18:00:00.000Z	25 \| good	3.465 \| good	8.453 \| good	26.681 \| good	0.464 \| good	7.539 \| good	0.217 \| good
2026-09-28T19:00:00.000Z	26 \| good	3.534 \| good	8.565 \| good	28.354 \| good	0.468 \| good	11.856 \| good	0.253 \| good
2026-09-28T20:00:00.000Z	26 \| good	3.553 \| good	8.629 \| good	27.922 \| good	0.626 \| good	15.259 \| good	0.324 \| good
2026-09-28T21:00:00.000Z	24 \| good	4.308 \| good	9.453 \| good	25.748 \| good	0.91 \| good	15.722 \| good	0.312 \| good
2026-09-28T22:00:00.000Z	22 \| good	4.308 \| good	9.565 \| good	22.291 \| good	0.825 \| good	20 \| good	0.352 \| good
2026-09-28T23:00:00.000Z	27 \| good	4.594 \| good	11.657 \| good	21.913 \| good	0.778 \| good	23.212 \| good	0.352 \| good
2026-09-29T00:00:00.000Z	44 \| good	7.655 \| good	12.675 \| good	21.831 \| good	0.57 \| good	8.726 \| good	0.163 \| good
2026-09-29T01:00:00.000Z	38 \| good	6.674 \| good	10.815 \| good	23.521 \| good	0.481 \| good	6.67 \| good	0.155 \| good
2026-09-29T02:00:00.000Z	33 \| good	5.797 \| good	8.715 \| good	26.69 \| good	0.351 \| good	4.621 \| good	0.148 \| good
2026-09-29T03:00:00.000Z	27 \| good	4.897 \| good	7.099 \| good	28.028 \| good	0.259 \| good	3.709 \| good	0.142 \| good
2026-09-29T04:00:00.000Z	26 \| good	4.282 \| good	6.688 \| good	27.916 \| good	0.206 \| good	3.255 \| good	0.14 \| good
2026-09-29T05:00:00.000Z	26 \| good	4.014 \| good	6.733 \| good	27.521 \| good	0.205 \| good	3.418 \| good	0.138 \| good
2026-09-29T06:00:00.000Z	25 \| good	4.371 \| good	7.033 \| good	26.812 \| good	0.24 \| good	4.156 \| good	0.139 \| good
2026-09-29T07:00:00.000Z	26 \| good	4.406 \| good	7.484 \| good	27.658 \| good	0.292 \| good	5.831 \| good	0.15 \| good
2026-09-29T08:00:00.000Z	26 \| good	4.271 \| good	7.241 \| good	27.519 \| good	0.316 \| good	6.513 \| good	0.146 \| good
2026-09-29T09:00:00.000Z	27 \| good	3.818 \| good	6.591 \| good	28.899 \| good	0.24 \| good	5.124 \| good	0.138 \| good
2026-09-29T10:00:00.000Z	28 \| good	3.653 \| good	6.71 \| good	30.143 \| good	0.211 \| good	4.495 \| good	0.136 \| good
2026-09-29T11:00:00.000Z	29 \| good	3.45 \| good	5.912 \| good	30.991 \| good	0.179 \| good	4.044 \| good	0.132 \| good
2026-09-29T12:00:00.000Z	29 \| good	3.555 \| good	5.368 \| good	31.021 \| good	0.179 \| good	3.495 \| good	0.132 \| good
2026-09-29T13:00:00.000Z	31 \| good	3.796 \| good	5.703 \| good	32.959 \| good	0.179 \| good	3.326 \| good	0.134 \| good
2026-09-29T14:00:00.000Z	31 \| good	4.292 \| good	6.791 \| good	33.326 \| good	0.183 \| good	3.756 \| good	0.138 \| good
2026-09-29T15:00:00.000Z	32 \| good	5.192 \| good	8.262 \| good	34.502 \| good	0.195 \| good	3.991 \| good	0.143 \| good
2026-09-29T16:00:00.000Z	33 \| good	5.946 \| good	9.634 \| good	35.382 \| good	0.244 \| good	4.42 \| good	0.146 \| good
2026-09-29T17:00:00.000Z	38 \| good	6.864 \| good	10.668 \| good	35.606 \| good	0.312 \| good	5.344 \| good	0.151 \| good
2026-09-29T18:00:00.000Z	44 \| good	7.506 \| good	11.524 \| good	38.129 \| good	0.369 \| good	6.235 \| good	0.153 \| good
2026-09-29T19:00:00.000Z	44 \| good	7.794 \| good	12.217 \| good	39.682 \| good	0.412 \| good	6.01 \| good	0.154 \| good
2026-09-29T20:00:00.000Z	44 \| good	8.203 \| good	12.449 \| good	38.481 \| good	0.426 \| good	5.93 \| good	0.159 \| good
2026-09-29T21:00:00.000Z	49 \| good	8.699 \| good	13.416 \| good	36.638 \| good	0.433 \| good	5.792 \| good	0.161 \| good
2026-09-29T22:00:00.000Z	52 \| moderate	10.26 \| good	14.18 \| good	35.061 \| good	0.385 \| good	5.315 \| good	0.153 \| good
2026-09-29T23:00:00.000Z	54 \| moderate	11.072 \| good	14.151 \| good	34.358 \| good	0.328 \| good	4.895 \| good	0.148 \| good
2026-09-30T00:00:00.000Z	52 \| moderate	10.382 \| good	12.701 \| good	34.516 \| good	0.308 \| good	4.32 \| good	0.144 \| good
2026-09-30T01:00:00.000Z	44 \| good	8.495 \| good	11.238 \| good	35.55 \| good	0.264 \| good	3.535 \| good	0.139 \| good
2026-09-30T02:00:00.000Z	38 \| good	6.83 \| good	10.241 \| good	36.016 \| good	0.234 \| good	2.835 \| good	0.132 \| good
2026-09-30T03:00:00.000Z	33 \| good	6.497 \| good	9.36 \| good	35.588 \| good	0.208 \| good	2.483 \| good	0.131 \| good
2026-09-30T04:00:00.000Z	33 \| good	6.308 \| good	9.563 \| good	34.717 \| good	0.207 \| good	2.481 \| good	0.129 \| good
2026-09-30T05:00:00.000Z	33 \| good	6.494 \| good	8.508 \| good	33.36 \| good	0.204 \| good	2.738 \| good	0.127 \| good
2026-09-30T06:00:00.000Z	33 \| good	6.374 \| good	8.404 \| good	31.891 \| good	0.204 \| good	3.543 \| good	0.125 \| good
2026-09-30T07:00:00.000Z	33 \| good	6.245 \| good	8.346 \| good	29.577 \| good	0.215 \| good	4.11 \| good	0.126 \| good
2026-09-30T08:00:00.000Z	33 \| good	5.657 \| good	7.18 \| good	28.141 \| good	0.205 \| good	4.995 \| good	0.131 \| good
2026-09-30T09:00:00.000Z	27 \| good	4.672 \| good	6.25 \| good	28.548 \| good	0.187 \| good	4.848 \| good	0.123 \| good
2026-09-30T10:00:00.000Z	28 \| good	4.392 \| good	6.42 \| good	30.082 \| good	0.183 \| good	3.468 \| good	0.118 \| good
2026-09-30T11:00:00.000Z	29 \| good	4.31 \| good	6.986 \| good	31.153 \| good	0.162 \| good	2.392 \| good	0.115 \| good
2026-09-30T12:00:00.000Z	31 \| good	4.394 \| good	7.3 \| good	33.266 \| good	0.162 \| good	1.948 \| good	0.118 \| good
2026-09-30T13:00:00.000Z	32 \| good	4.312 \| good	8.208 \| good	34.967 \| good	0.178 \| good	1.682 \| good	0.125 \| good
2026-09-30T14:00:00.000Z	33 \| good	4.342 \| good	8.552 \| good	35.855 \| good	0.174 \| good	1.811 \| good	0.129 \| good
2026-09-30T15:00:00.000Z	33 \| good	4.317 \| good	9.038 \| good	36.183 \| good	0.182 \| good	2.222 \| good	0.132 \| good
2026-09-30T16:00:00.000Z	32 \| good	4.339 \| good	9.255 \| good	35.104 \| good	0.199 \| good	2.807 \| good	0.135 \| good
2026-09-30T17:00:00.000Z	31 \| good	4.975 \| good	10.113 \| good	33.868 \| good	0.254 \| good	3.952 \| good	0.142 \| good
2026-09-30T18:00:00.000Z	33 \| good	5.509 \| good	11.607 \| good	31.947 \| good	0.314 \| good	5.371 \| good	0.152 \| good
2026-09-30T19:00:00.000Z	33 \| good	5.932 \| good	12.306 \| good	28.227 \| good	0.353 \| good	6.603 \| good	0.15 \| good
2026-09-30T20:00:00.000Z	33 \| good	6.067 \| good	13.055 \| good	25.204 \| good	0.393 \| good	7.025 \| good	0.143 \| good
2026-09-30T21:00:00.000Z	33 \| good	6.11 \| good	13.692 \| good	24.337 \| good	0.4 \| good	6.927 \| good	0.145 \| good
2026-09-30T22:00:00.000Z	33 \| good	6.318 \| good	13.369 \| good	23.344 \| good	0.385 \| good	7.24 \| good	0.148 \| good
2026-09-30T23:00:00.000Z	33 \| good	6.355 \| good	12.83 \| good	22.146 \| good	0.347 \| good	6.9 \| good	0.15 \| good

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

Common air pollutants in Worsley, Greater Manchester

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Worsley, Greater Manchester air quality forecast and history

Empower business decisions with accurate air quality data

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

Air quality in nearby cities

Walkden, Greater Manchester

Swinton, Greater Manchester

Eccles, Greater Manchester

Kearsley, Greater Manchester

Little Hulton, Greater Manchester

Clifton, 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 Worsley, Greater Manchester updated?

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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