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

The current PM10 levels in Ramsbottom, Greater Manchester are 11.572 μg/m3.

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

The current sulfur dioxide (SO2) levels in Ramsbottom, Greater Manchester are 0.636 ppb.

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

The current ozone (O3) levels at Ramsbottom, Greater Manchester is 30.807 ppm.

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

The current nitrogen dioxide (NO2) levels at Ramsbottom, Greater Manchester is 4.874 ppb.

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

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

The measured PM2.5 levels in Ramsbottom, Greater Manchester at present are 3.44 μg/m3.

Stay updated with real-time air quality in Ramsbottom, 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

Ramsbottom, Greater Manchester

Last updated: ... (Local time)

Common air pollutants in Ramsbottom, Greater Manchester

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

3.44 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

11.57 μg/m³

155

255

425

605+

Ozone (O₃)

30.81 ppb

201

201+

Sulfur Dioxide (SO₂)

0.64 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

4.87 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.17 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

High

Ramsbottom, Greater Manchester

Get Live Pollen Counts

Ramsbottom, Greater Manchester

Scroll To Air Quality Map

Track live Ramsbottom, Greater Manchester air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-06-27T20:00:00.000Z	34 \| good	4.819 \| good	15.231 \| good	37.416 \| good	0.421 \| good	5.828 \| good	0.2 \| good
2026-06-27T21:00:00.000Z	35 \| good	4.509 \| good	14.481 \| good	38.205 \| good	0.421 \| good	6.484 \| good	0.217 \| good
2026-06-27T22:00:00.000Z	33 \| good	4.128 \| good	13.443 \| good	36.378 \| good	0.447 \| good	7.265 \| good	0.181 \| good
2026-06-27T23:00:00.000Z	33 \| good	4.052 \| good	12.754 \| good	35.751 \| good	0.447 \| good	7.606 \| good	0.17 \| good
2026-06-28T00:00:00.000Z	31 \| good	3.929 \| good	13.026 \| good	34.424 \| good	0.447 \| good	7.631 \| good	0.151 \| good
2026-06-28T01:00:00.000Z	30 \| good	3.889 \| good	12.422 \| good	32.16 \| good	0.515 \| good	7.878 \| good	0.144 \| good
2026-06-28T02:00:00.000Z	29 \| good	3.667 \| good	12.427 \| good	31.479 \| good	0.488 \| good	6.782 \| good	0.13 \| good
2026-06-28T03:00:00.000Z	28 \| good	3.667 \| good	12.323 \| good	30.476 \| good	0.447 \| good	3.648 \| good	0.127 \| good
2026-06-28T04:00:00.000Z	26 \| good	3.689 \| good	12.123 \| good	28.373 \| good	0.446 \| good	2.877 \| good	0.123 \| good
2026-06-28T05:00:00.000Z	26 \| good	3.82 \| good	12.356 \| good	28.113 \| good	0.424 \| good	2.439 \| good	0.13 \| good
2026-06-28T06:00:00.000Z	25 \| good	3.682 \| good	12.636 \| good	27.023 \| good	0.382 \| good	2.426 \| good	0.144 \| good
2026-06-28T07:00:00.000Z	25 \| good	3.632 \| good	12.476 \| good	26.884 \| good	0.423 \| good	3.389 \| good	0.146 \| good
2026-06-28T08:00:00.000Z	22 \| good	3.536 \| good	11.816 \| good	24.343 \| good	0.422 \| good	4.044 \| good	0.151 \| good
2026-06-28T09:00:00.000Z	24 \| good	3.58 \| good	11.833 \| good	26.279 \| good	0.449 \| good	3.325 \| good	0.139 \| good
2026-06-28T10:00:00.000Z	22 \| good	3.453 \| good	11.686 \| good	23.958 \| good	0.469 \| good	3.034 \| good	0.132 \| good
2026-06-28T11:00:00.000Z	22 \| good	3.483 \| good	11.571 \| good	24.253 \| good	0.382 \| good	2.069 \| good	0.13 \| good
2026-06-28T12:00:00.000Z	22 \| good	3.395 \| good	11.737 \| good	24.48 \| good	0.382 \| good	2.678 \| good	0.129 \| good
2026-06-28T13:00:00.000Z	24 \| good	3.216 \| good	10.58 \| good	26.348 \| good	0.382 \| good	2.99 \| good	0.13 \| good
2026-06-28T14:00:00.000Z	26 \| good	3.168 \| good	10.621 \| good	27.896 \| good	0.404 \| good	3.12 \| good	0.043 \| good
2026-06-28T15:00:00.000Z	27 \| good	3.187 \| good	10.707 \| good	29.357 \| good	0.382 \| good	3.228 \| good	0.042 \| good
2026-06-28T16:00:00.000Z	28 \| good	3.197 \| good	10.588 \| good	30.282 \| good	0.422 \| good	2.328 \| good	0.045 \| good
2026-06-28T17:00:00.000Z	30 \| good	2.988 \| good	9.559 \| good	31.753 \| good	0.613 \| good	2.464 \| good	0.046 \| good
2026-06-28T18:00:00.000Z	31 \| good	2.791 \| good	9.293 \| good	33.159 \| good	0.382 \| good	2.145 \| good	0.052 \| good
2026-06-28T19:00:00.000Z	32 \| good	2.807 \| good	9.808 \| good	34.977 \| good	0.611 \| good	2.555 \| good	0.054 \| good
2026-06-28T20:00:00.000Z	33 \| good	2.651 \| good	9.861 \| good	36.14 \| good	0.647 \| good	2.976 \| good	0.055 \| good
2026-06-28T21:00:00.000Z	33 \| good	2.658 \| good	9.219 \| good	35.785 \| good	0.628 \| good	3.266 \| good	0.06 \| good
2026-06-28T22:00:00.000Z	33 \| good	2.675 \| good	9.718 \| good	35.509 \| good	0.382 \| good	3.429 \| good	0.055 \| good
2026-06-28T23:00:00.000Z	32 \| good	2.662 \| good	9.673 \| good	35.178 \| good	0.429 \| good	3.372 \| good	0.054 \| good
2026-06-29T00:00:00.000Z	31 \| good	2.662 \| good	9.381 \| good	33.203 \| good	0.382 \| good	3.218 \| good	0.153 \| good
2026-06-29T01:00:00.000Z	31 \| good	2.659 \| good	8.952 \| good	33.166 \| good	0.407 \| good	3.16 \| good	0.148 \| good
2026-06-29T02:00:00.000Z	30 \| good	2.69 \| good	8.96 \| good	31.954 \| good	0.425 \| good	2.208 \| good	0.134 \| good
2026-06-29T03:00:00.000Z	29 \| good	2.605 \| good	8.778 \| good	30.954 \| good	0.405 \| good	2.239 \| good	0.132 \| good
2026-06-29T04:00:00.000Z	27 \| good	2.682 \| good	9.098 \| good	29.042 \| good	0.426 \| good	2.529 \| good	0.132 \| good
2026-06-29T05:00:00.000Z	25 \| good	2.714 \| good	9.636 \| good	27.483 \| good	0.424 \| good	3.465 \| good	0.136 \| good
2026-06-29T06:00:00.000Z	24 \| good	2.838 \| good	9.809 \| good	25.96 \| good	0.48 \| good	5.35 \| good	0.153 \| good
2026-06-29T07:00:00.000Z	23 \| good	2.911 \| good	9.802 \| good	25.321 \| good	0.425 \| good	8.248 \| good	0.172 \| good
2026-06-29T08:00:00.000Z	25 \| good	3.142 \| good	10.796 \| good	26.837 \| good	0.648 \| good	10.591 \| good	0.167 \| good
2026-06-29T09:00:00.000Z	25 \| good	3.271 \| good	11.635 \| good	26.76 \| good	0.651 \| good	8.83 \| good	0.153 \| good
2026-06-29T10:00:00.000Z	22 \| good	3.287 \| good	11.545 \| good	24.415 \| good	0.47 \| good	4.101 \| good	0.132 \| good
2026-06-29T11:00:00.000Z	23 \| good	3.288 \| good	11.437 \| good	24.902 \| good	0.43 \| good	4.096 \| good	0.124 \| good
2026-06-29T12:00:00.000Z	23 \| good	3.284 \| good	11.639 \| good	25.148 \| good	0.432 \| good	4.221 \| good	0.124 \| good
2026-06-29T13:00:00.000Z	24 \| good	3.281 \| good	11.545 \| good	26.117 \| good	0.406 \| good	3.486 \| good	0.122 \| good
2026-06-29T14:00:00.000Z	26 \| good	3.421 \| good	11.569 \| good	27.918 \| good	0.432 \| good	4.274 \| good	0.136 \| good
2026-06-29T15:00:00.000Z	27 \| good	3.467 \| good	11.702 \| good	28.969 \| good	0.649 \| good	4.585 \| good	0.139 \| good
2026-06-29T16:00:00.000Z	28 \| good	3.458 \| good	11.721 \| good	30.017 \| good	0.432 \| good	5.375 \| good	0.124 \| good
2026-06-29T17:00:00.000Z	30 \| good	3.463 \| good	11.614 \| good	31.584 \| good	0.407 \| good	5.675 \| good	0.173 \| good
2026-06-29T18:00:00.000Z	29 \| good	3.44 \| good	11.572 \| good	30.807 \| good	0.636 \| good	4.874 \| good	0.174 \| good
2026-06-29T19:00:00.000Z	29 \| good	3.433 \| good	11.673 \| good	30.94 \| good	0.408 \| good	5.338 \| good	0.182 \| good
2026-06-29T19:00:00.000Z	29 \| good	3.44 \| good	11.572 \| good	30.807 \| good	0.636 \| good	4.874 \| good	0.174 \| good
2026-06-29T20:00:00.000Z	33 \| good	6.307 \| good	10.393 \| good	31.221 \| good	0.159 \| good	2.237 \| good	0.092 \| good
2026-06-29T21:00:00.000Z	38 \| good	6.726 \| good	10.723 \| good	29.488 \| good	0.2 \| good	2.895 \| good	0.093 \| good
2026-06-29T22:00:00.000Z	38 \| good	7.139 \| good	10.904 \| good	27.45 \| good	0.2 \| good	3.118 \| good	0.094 \| good
2026-06-29T23:00:00.000Z	38 \| good	7.181 \| good	10.764 \| good	25.999 \| good	0.178 \| good	3.557 \| good	0.095 \| good
2026-06-30T00:00:00.000Z	38 \| good	7.21 \| good	10.183 \| good	25.17 \| good	0.171 \| good	3.979 \| good	0.096 \| good
2026-06-30T01:00:00.000Z	38 \| good	7.149 \| good	10.067 \| good	23.542 \| good	0.171 \| good	4.018 \| good	0.095 \| good
2026-06-30T02:00:00.000Z	38 \| good	7.22 \| good	10.094 \| good	21.852 \| good	0.156 \| good	4.034 \| good	0.095 \| good
2026-06-30T03:00:00.000Z	44 \| good	7.776 \| good	11.114 \| good	20.566 \| good	0.207 \| good	4.407 \| good	0.097 \| good
2026-06-30T04:00:00.000Z	49 \| good	8.801 \| good	11.737 \| good	20.728 \| good	0.294 \| good	5.366 \| good	0.099 \| good
2026-06-30T05:00:00.000Z	38 \| good	7.036 \| good	9.582 \| good	21.545 \| good	0.238 \| good	4.566 \| good	0.098 \| good
2026-06-30T06:00:00.000Z	33 \| good	5.697 \| good	8.771 \| good	23.573 \| good	0.189 \| good	3.525 \| good	0.094 \| good
2026-06-30T07:00:00.000Z	33 \| good	5.823 \| good	9.118 \| good	25.669 \| good	0.206 \| good	3.491 \| good	0.093 \| good
2026-06-30T08:00:00.000Z	27 \| good	5.424 \| good	8.779 \| good	27.23 \| good	0.193 \| good	3.47 \| good	0.095 \| good
2026-06-30T09:00:00.000Z	27 \| good	5.123 \| good	8.357 \| good	27.436 \| good	0.204 \| good	3.409 \| good	0.099 \| good
2026-06-30T10:00:00.000Z	27 \| good	5.008 \| good	8.436 \| good	28.58 \| good	0.269 \| good	3.093 \| good	0.102 \| good
2026-06-30T11:00:00.000Z	28 \| good	4.524 \| good	8.103 \| good	29.718 \| good	0.223 \| good	2.447 \| good	0.101 \| good
2026-06-30T12:00:00.000Z	30 \| good	4.457 \| good	7.796 \| good	32.019 \| good	0.16 \| good	1.956 \| good	0.098 \| good
2026-06-30T13:00:00.000Z	31 \| good	4.254 \| good	7.388 \| good	33.241 \| good	0.138 \| good	1.833 \| good	0.096 \| good
2026-06-30T14:00:00.000Z	30 \| good	3.309 \| good	5.635 \| good	32.222 \| good	0.117 \| good	2.106 \| good	0.095 \| good
2026-06-30T15:00:00.000Z	30 \| good	2.567 \| good	4.671 \| good	31.742 \| good	0.125 \| good	2.439 \| good	0.095 \| good
2026-06-30T16:00:00.000Z	30 \| good	2.566 \| good	4.118 \| good	31.851 \| good	0.128 \| good	2.669 \| good	0.095 \| good
2026-06-30T17:00:00.000Z	29 \| good	3.264 \| good	5.169 \| good	31.137 \| good	0.117 \| good	2.368 \| good	0.092 \| good
2026-06-30T18:00:00.000Z	28 \| good	4.132 \| good	6.254 \| good	29.692 \| good	0.121 \| good	2.163 \| good	0.089 \| good
2026-06-30T19:00:00.000Z	27 \| good	4.003 \| good	6.288 \| good	28.852 \| good	0.116 \| good	1.937 \| good	0.088 \| good
2026-06-30T20:00:00.000Z	26 \| good	4.157 \| good	6.157 \| good	28.229 \| good	0.13 \| good	2.02 \| good	0.087 \| good
2026-06-30T21:00:00.000Z	27 \| good	4.582 \| good	6.643 \| good	27.627 \| good	0.162 \| good	2.365 \| good	0.087 \| good
2026-06-30T22:00:00.000Z	27 \| good	4.934 \| good	7.163 \| good	26.112 \| good	0.183 \| good	2.714 \| good	0.089 \| good
2026-06-30T23:00:00.000Z	27 \| good	4.922 \| good	6.964 \| good	26.528 \| good	0.182 \| good	2.933 \| good	0.089 \| good
2026-07-01T00:00:00.000Z	27 \| good	4.568 \| good	6.222 \| good	26.164 \| good	0.157 \| good	2.932 \| good	0.088 \| good
2026-07-01T01:00:00.000Z	25 \| good	4.208 \| good	5.637 \| good	27.052 \| good	0.139 \| good	2.603 \| good	0.087 \| good
2026-07-01T02:00:00.000Z	26 \| good	3.614 \| good	5.421 \| good	28.448 \| good	0.128 \| good	2.176 \| good	0.084 \| good
2026-07-01T03:00:00.000Z	28 \| good	3.226 \| good	5.001 \| good	29.698 \| good	0.109 \| good	1.861 \| good	0.083 \| good
2026-07-01T04:00:00.000Z	27 \| good	3.049 \| good	4.798 \| good	29.236 \| good	0.103 \| good	1.692 \| good	0.083 \| good
2026-07-01T05:00:00.000Z	27 \| good	3.201 \| good	5.415 \| good	28.652 \| good	0.101 \| good	1.641 \| good	0.083 \| good
2026-07-01T06:00:00.000Z	26 \| good	3.248 \| good	5.307 \| good	27.876 \| good	0.104 \| good	1.892 \| good	0.084 \| good
2026-07-01T07:00:00.000Z	25 \| good	3.235 \| good	5.121 \| good	26.909 \| good	0.118 \| good	2.353 \| good	0.088 \| good
2026-07-01T08:00:00.000Z	25 \| good	3.314 \| good	5.168 \| good	26.527 \| good	0.126 \| good	2.386 \| good	0.089 \| good
2026-07-01T09:00:00.000Z	25 \| good	3.252 \| good	5.268 \| good	27.018 \| good	0.121 \| good	2.165 \| good	0.089 \| good
2026-07-01T10:00:00.000Z	26 \| good	3.082 \| good	5.248 \| good	28.118 \| good	0.111 \| good	1.717 \| good	0.088 \| good
2026-07-01T11:00:00.000Z	28 \| good	3.051 \| good	5.383 \| good	29.828 \| good	0.099 \| good	1.395 \| good	0.088 \| good
2026-07-01T12:00:00.000Z	29 \| good	3.008 \| good	5.435 \| good	31.182 \| good	0.093 \| good	1.257 \| good	0.086 \| good
2026-07-01T13:00:00.000Z	30 \| good	2.914 \| good	4.762 \| good	32.19 \| good	0.088 \| good	1.063 \| good	0.085 \| good
2026-07-01T14:00:00.000Z	31 \| good	2.932 \| good	4.607 \| good	32.948 \| good	0.082 \| good	1.052 \| good	0.083 \| good
2026-07-01T15:00:00.000Z	31 \| good	2.854 \| good	4.292 \| good	33.278 \| good	0.079 \| good	1.157 \| good	0.083 \| good
2026-07-01T16:00:00.000Z	31 \| good	2.996 \| good	4.326 \| good	32.9 \| good	0.078 \| good	1.3 \| good	0.083 \| good
2026-07-01T17:00:00.000Z	30 \| good	3.115 \| good	4.454 \| good	32.182 \| good	0.089 \| good	1.606 \| good	0.085 \| good
2026-07-01T18:00:00.000Z	30 \| good	3.24 \| good	4.694 \| good	31.881 \| good	0.111 \| good	1.887 \| good	0.085 \| good
2026-07-01T19:00:00.000Z	30 \| good	3.402 \| good	5.277 \| good	32.107 \| good	0.129 \| good	2.264 \| good	0.084 \| good

Ramsbottom

Empower business decisions with accurate air quality data

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

0.17ppm

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 Ramsbottom, Greater Manchester updated?

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

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

The worst air quality in Ramsbottom, Greater Manchester was recorded at 10:00:00 on 2026-06-28.

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

The best air quality in Ramsbottom, Greater Manchester was recorded at 10:00:00 on 2026-06-29.

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

The real-time air quality index in Ramsbottom, Greater Manchester is 29, currently categorized as Good.

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

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

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

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

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

The measured PM_2.5 levels in Ramsbottom, Greater Manchester at present are 3.44 μg/m³.

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

The current PM₁₀ levels in Ramsbottom, Greater Manchester are 11.572 μg/m³.

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

The current carbon monoxide (CO) level in Ramsbottom, Greater Manchester is 0.174 ppm.

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

The current sulfur dioxide (SO₂) levels in Ramsbottom, Greater Manchester are 0.636 ppb.

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

The current ozone (O₃) levels at Ramsbottom, Greater Manchester is 30.807 ppm.

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

The current nitrogen dioxide (NO₂) levels at Ramsbottom, Greater Manchester is 4.874 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-06-27T20:00:00.000Z	34 \| good	4.819 \| good	15.231 \| good	37.416 \| good	0.421 \| good	5.828 \| good	0.2 \| good
2026-06-27T21:00:00.000Z	35 \| good	4.509 \| good	14.481 \| good	38.205 \| good	0.421 \| good	6.484 \| good	0.217 \| good
2026-06-27T22:00:00.000Z	33 \| good	4.128 \| good	13.443 \| good	36.378 \| good	0.447 \| good	7.265 \| good	0.181 \| good
2026-06-27T23:00:00.000Z	33 \| good	4.052 \| good	12.754 \| good	35.751 \| good	0.447 \| good	7.606 \| good	0.17 \| good
2026-06-28T00:00:00.000Z	31 \| good	3.929 \| good	13.026 \| good	34.424 \| good	0.447 \| good	7.631 \| good	0.151 \| good
2026-06-28T01:00:00.000Z	30 \| good	3.889 \| good	12.422 \| good	32.16 \| good	0.515 \| good	7.878 \| good	0.144 \| good
2026-06-28T02:00:00.000Z	29 \| good	3.667 \| good	12.427 \| good	31.479 \| good	0.488 \| good	6.782 \| good	0.13 \| good
2026-06-28T03:00:00.000Z	28 \| good	3.667 \| good	12.323 \| good	30.476 \| good	0.447 \| good	3.648 \| good	0.127 \| good
2026-06-28T04:00:00.000Z	26 \| good	3.689 \| good	12.123 \| good	28.373 \| good	0.446 \| good	2.877 \| good	0.123 \| good
2026-06-28T05:00:00.000Z	26 \| good	3.82 \| good	12.356 \| good	28.113 \| good	0.424 \| good	2.439 \| good	0.13 \| good
2026-06-28T06:00:00.000Z	25 \| good	3.682 \| good	12.636 \| good	27.023 \| good	0.382 \| good	2.426 \| good	0.144 \| good
2026-06-28T07:00:00.000Z	25 \| good	3.632 \| good	12.476 \| good	26.884 \| good	0.423 \| good	3.389 \| good	0.146 \| good
2026-06-28T08:00:00.000Z	22 \| good	3.536 \| good	11.816 \| good	24.343 \| good	0.422 \| good	4.044 \| good	0.151 \| good
2026-06-28T09:00:00.000Z	24 \| good	3.58 \| good	11.833 \| good	26.279 \| good	0.449 \| good	3.325 \| good	0.139 \| good
2026-06-28T10:00:00.000Z	22 \| good	3.453 \| good	11.686 \| good	23.958 \| good	0.469 \| good	3.034 \| good	0.132 \| good
2026-06-28T11:00:00.000Z	22 \| good	3.483 \| good	11.571 \| good	24.253 \| good	0.382 \| good	2.069 \| good	0.13 \| good
2026-06-28T12:00:00.000Z	22 \| good	3.395 \| good	11.737 \| good	24.48 \| good	0.382 \| good	2.678 \| good	0.129 \| good
2026-06-28T13:00:00.000Z	24 \| good	3.216 \| good	10.58 \| good	26.348 \| good	0.382 \| good	2.99 \| good	0.13 \| good
2026-06-28T14:00:00.000Z	26 \| good	3.168 \| good	10.621 \| good	27.896 \| good	0.404 \| good	3.12 \| good	0.043 \| good
2026-06-28T15:00:00.000Z	27 \| good	3.187 \| good	10.707 \| good	29.357 \| good	0.382 \| good	3.228 \| good	0.042 \| good
2026-06-28T16:00:00.000Z	28 \| good	3.197 \| good	10.588 \| good	30.282 \| good	0.422 \| good	2.328 \| good	0.045 \| good
2026-06-28T17:00:00.000Z	30 \| good	2.988 \| good	9.559 \| good	31.753 \| good	0.613 \| good	2.464 \| good	0.046 \| good
2026-06-28T18:00:00.000Z	31 \| good	2.791 \| good	9.293 \| good	33.159 \| good	0.382 \| good	2.145 \| good	0.052 \| good
2026-06-28T19:00:00.000Z	32 \| good	2.807 \| good	9.808 \| good	34.977 \| good	0.611 \| good	2.555 \| good	0.054 \| good
2026-06-28T20:00:00.000Z	33 \| good	2.651 \| good	9.861 \| good	36.14 \| good	0.647 \| good	2.976 \| good	0.055 \| good
2026-06-28T21:00:00.000Z	33 \| good	2.658 \| good	9.219 \| good	35.785 \| good	0.628 \| good	3.266 \| good	0.06 \| good
2026-06-28T22:00:00.000Z	33 \| good	2.675 \| good	9.718 \| good	35.509 \| good	0.382 \| good	3.429 \| good	0.055 \| good
2026-06-28T23:00:00.000Z	32 \| good	2.662 \| good	9.673 \| good	35.178 \| good	0.429 \| good	3.372 \| good	0.054 \| good
2026-06-29T00:00:00.000Z	31 \| good	2.662 \| good	9.381 \| good	33.203 \| good	0.382 \| good	3.218 \| good	0.153 \| good
2026-06-29T01:00:00.000Z	31 \| good	2.659 \| good	8.952 \| good	33.166 \| good	0.407 \| good	3.16 \| good	0.148 \| good
2026-06-29T02:00:00.000Z	30 \| good	2.69 \| good	8.96 \| good	31.954 \| good	0.425 \| good	2.208 \| good	0.134 \| good
2026-06-29T03:00:00.000Z	29 \| good	2.605 \| good	8.778 \| good	30.954 \| good	0.405 \| good	2.239 \| good	0.132 \| good
2026-06-29T04:00:00.000Z	27 \| good	2.682 \| good	9.098 \| good	29.042 \| good	0.426 \| good	2.529 \| good	0.132 \| good
2026-06-29T05:00:00.000Z	25 \| good	2.714 \| good	9.636 \| good	27.483 \| good	0.424 \| good	3.465 \| good	0.136 \| good
2026-06-29T06:00:00.000Z	24 \| good	2.838 \| good	9.809 \| good	25.96 \| good	0.48 \| good	5.35 \| good	0.153 \| good
2026-06-29T07:00:00.000Z	23 \| good	2.911 \| good	9.802 \| good	25.321 \| good	0.425 \| good	8.248 \| good	0.172 \| good
2026-06-29T08:00:00.000Z	25 \| good	3.142 \| good	10.796 \| good	26.837 \| good	0.648 \| good	10.591 \| good	0.167 \| good
2026-06-29T09:00:00.000Z	25 \| good	3.271 \| good	11.635 \| good	26.76 \| good	0.651 \| good	8.83 \| good	0.153 \| good
2026-06-29T10:00:00.000Z	22 \| good	3.287 \| good	11.545 \| good	24.415 \| good	0.47 \| good	4.101 \| good	0.132 \| good
2026-06-29T11:00:00.000Z	23 \| good	3.288 \| good	11.437 \| good	24.902 \| good	0.43 \| good	4.096 \| good	0.124 \| good
2026-06-29T12:00:00.000Z	23 \| good	3.284 \| good	11.639 \| good	25.148 \| good	0.432 \| good	4.221 \| good	0.124 \| good
2026-06-29T13:00:00.000Z	24 \| good	3.281 \| good	11.545 \| good	26.117 \| good	0.406 \| good	3.486 \| good	0.122 \| good
2026-06-29T14:00:00.000Z	26 \| good	3.421 \| good	11.569 \| good	27.918 \| good	0.432 \| good	4.274 \| good	0.136 \| good
2026-06-29T15:00:00.000Z	27 \| good	3.467 \| good	11.702 \| good	28.969 \| good	0.649 \| good	4.585 \| good	0.139 \| good
2026-06-29T16:00:00.000Z	28 \| good	3.458 \| good	11.721 \| good	30.017 \| good	0.432 \| good	5.375 \| good	0.124 \| good
2026-06-29T17:00:00.000Z	30 \| good	3.463 \| good	11.614 \| good	31.584 \| good	0.407 \| good	5.675 \| good	0.173 \| good
2026-06-29T18:00:00.000Z	29 \| good	3.44 \| good	11.572 \| good	30.807 \| good	0.636 \| good	4.874 \| good	0.174 \| good
2026-06-29T19:00:00.000Z	29 \| good	3.433 \| good	11.673 \| good	30.94 \| good	0.408 \| good	5.338 \| good	0.182 \| good
2026-06-29T19:00:00.000Z	29 \| good	3.44 \| good	11.572 \| good	30.807 \| good	0.636 \| good	4.874 \| good	0.174 \| good
2026-06-29T20:00:00.000Z	33 \| good	6.307 \| good	10.393 \| good	31.221 \| good	0.159 \| good	2.237 \| good	0.092 \| good
2026-06-29T21:00:00.000Z	38 \| good	6.726 \| good	10.723 \| good	29.488 \| good	0.2 \| good	2.895 \| good	0.093 \| good
2026-06-29T22:00:00.000Z	38 \| good	7.139 \| good	10.904 \| good	27.45 \| good	0.2 \| good	3.118 \| good	0.094 \| good
2026-06-29T23:00:00.000Z	38 \| good	7.181 \| good	10.764 \| good	25.999 \| good	0.178 \| good	3.557 \| good	0.095 \| good
2026-06-30T00:00:00.000Z	38 \| good	7.21 \| good	10.183 \| good	25.17 \| good	0.171 \| good	3.979 \| good	0.096 \| good
2026-06-30T01:00:00.000Z	38 \| good	7.149 \| good	10.067 \| good	23.542 \| good	0.171 \| good	4.018 \| good	0.095 \| good
2026-06-30T02:00:00.000Z	38 \| good	7.22 \| good	10.094 \| good	21.852 \| good	0.156 \| good	4.034 \| good	0.095 \| good
2026-06-30T03:00:00.000Z	44 \| good	7.776 \| good	11.114 \| good	20.566 \| good	0.207 \| good	4.407 \| good	0.097 \| good
2026-06-30T04:00:00.000Z	49 \| good	8.801 \| good	11.737 \| good	20.728 \| good	0.294 \| good	5.366 \| good	0.099 \| good
2026-06-30T05:00:00.000Z	38 \| good	7.036 \| good	9.582 \| good	21.545 \| good	0.238 \| good	4.566 \| good	0.098 \| good
2026-06-30T06:00:00.000Z	33 \| good	5.697 \| good	8.771 \| good	23.573 \| good	0.189 \| good	3.525 \| good	0.094 \| good
2026-06-30T07:00:00.000Z	33 \| good	5.823 \| good	9.118 \| good	25.669 \| good	0.206 \| good	3.491 \| good	0.093 \| good
2026-06-30T08:00:00.000Z	27 \| good	5.424 \| good	8.779 \| good	27.23 \| good	0.193 \| good	3.47 \| good	0.095 \| good
2026-06-30T09:00:00.000Z	27 \| good	5.123 \| good	8.357 \| good	27.436 \| good	0.204 \| good	3.409 \| good	0.099 \| good
2026-06-30T10:00:00.000Z	27 \| good	5.008 \| good	8.436 \| good	28.58 \| good	0.269 \| good	3.093 \| good	0.102 \| good
2026-06-30T11:00:00.000Z	28 \| good	4.524 \| good	8.103 \| good	29.718 \| good	0.223 \| good	2.447 \| good	0.101 \| good
2026-06-30T12:00:00.000Z	30 \| good	4.457 \| good	7.796 \| good	32.019 \| good	0.16 \| good	1.956 \| good	0.098 \| good
2026-06-30T13:00:00.000Z	31 \| good	4.254 \| good	7.388 \| good	33.241 \| good	0.138 \| good	1.833 \| good	0.096 \| good
2026-06-30T14:00:00.000Z	30 \| good	3.309 \| good	5.635 \| good	32.222 \| good	0.117 \| good	2.106 \| good	0.095 \| good
2026-06-30T15:00:00.000Z	30 \| good	2.567 \| good	4.671 \| good	31.742 \| good	0.125 \| good	2.439 \| good	0.095 \| good
2026-06-30T16:00:00.000Z	30 \| good	2.566 \| good	4.118 \| good	31.851 \| good	0.128 \| good	2.669 \| good	0.095 \| good
2026-06-30T17:00:00.000Z	29 \| good	3.264 \| good	5.169 \| good	31.137 \| good	0.117 \| good	2.368 \| good	0.092 \| good
2026-06-30T18:00:00.000Z	28 \| good	4.132 \| good	6.254 \| good	29.692 \| good	0.121 \| good	2.163 \| good	0.089 \| good
2026-06-30T19:00:00.000Z	27 \| good	4.003 \| good	6.288 \| good	28.852 \| good	0.116 \| good	1.937 \| good	0.088 \| good
2026-06-30T20:00:00.000Z	26 \| good	4.157 \| good	6.157 \| good	28.229 \| good	0.13 \| good	2.02 \| good	0.087 \| good
2026-06-30T21:00:00.000Z	27 \| good	4.582 \| good	6.643 \| good	27.627 \| good	0.162 \| good	2.365 \| good	0.087 \| good
2026-06-30T22:00:00.000Z	27 \| good	4.934 \| good	7.163 \| good	26.112 \| good	0.183 \| good	2.714 \| good	0.089 \| good
2026-06-30T23:00:00.000Z	27 \| good	4.922 \| good	6.964 \| good	26.528 \| good	0.182 \| good	2.933 \| good	0.089 \| good
2026-07-01T00:00:00.000Z	27 \| good	4.568 \| good	6.222 \| good	26.164 \| good	0.157 \| good	2.932 \| good	0.088 \| good
2026-07-01T01:00:00.000Z	25 \| good	4.208 \| good	5.637 \| good	27.052 \| good	0.139 \| good	2.603 \| good	0.087 \| good
2026-07-01T02:00:00.000Z	26 \| good	3.614 \| good	5.421 \| good	28.448 \| good	0.128 \| good	2.176 \| good	0.084 \| good
2026-07-01T03:00:00.000Z	28 \| good	3.226 \| good	5.001 \| good	29.698 \| good	0.109 \| good	1.861 \| good	0.083 \| good
2026-07-01T04:00:00.000Z	27 \| good	3.049 \| good	4.798 \| good	29.236 \| good	0.103 \| good	1.692 \| good	0.083 \| good
2026-07-01T05:00:00.000Z	27 \| good	3.201 \| good	5.415 \| good	28.652 \| good	0.101 \| good	1.641 \| good	0.083 \| good
2026-07-01T06:00:00.000Z	26 \| good	3.248 \| good	5.307 \| good	27.876 \| good	0.104 \| good	1.892 \| good	0.084 \| good
2026-07-01T07:00:00.000Z	25 \| good	3.235 \| good	5.121 \| good	26.909 \| good	0.118 \| good	2.353 \| good	0.088 \| good
2026-07-01T08:00:00.000Z	25 \| good	3.314 \| good	5.168 \| good	26.527 \| good	0.126 \| good	2.386 \| good	0.089 \| good
2026-07-01T09:00:00.000Z	25 \| good	3.252 \| good	5.268 \| good	27.018 \| good	0.121 \| good	2.165 \| good	0.089 \| good
2026-07-01T10:00:00.000Z	26 \| good	3.082 \| good	5.248 \| good	28.118 \| good	0.111 \| good	1.717 \| good	0.088 \| good
2026-07-01T11:00:00.000Z	28 \| good	3.051 \| good	5.383 \| good	29.828 \| good	0.099 \| good	1.395 \| good	0.088 \| good
2026-07-01T12:00:00.000Z	29 \| good	3.008 \| good	5.435 \| good	31.182 \| good	0.093 \| good	1.257 \| good	0.086 \| good
2026-07-01T13:00:00.000Z	30 \| good	2.914 \| good	4.762 \| good	32.19 \| good	0.088 \| good	1.063 \| good	0.085 \| good
2026-07-01T14:00:00.000Z	31 \| good	2.932 \| good	4.607 \| good	32.948 \| good	0.082 \| good	1.052 \| good	0.083 \| good
2026-07-01T15:00:00.000Z	31 \| good	2.854 \| good	4.292 \| good	33.278 \| good	0.079 \| good	1.157 \| good	0.083 \| good
2026-07-01T16:00:00.000Z	31 \| good	2.996 \| good	4.326 \| good	32.9 \| good	0.078 \| good	1.3 \| good	0.083 \| good
2026-07-01T17:00:00.000Z	30 \| good	3.115 \| good	4.454 \| good	32.182 \| good	0.089 \| good	1.606 \| good	0.085 \| good
2026-07-01T18:00:00.000Z	30 \| good	3.24 \| good	4.694 \| good	31.881 \| good	0.111 \| good	1.887 \| good	0.085 \| good
2026-07-01T19:00:00.000Z	30 \| good	3.402 \| good	5.277 \| good	32.107 \| good	0.129 \| good	2.264 \| good	0.084 \| good

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

Common air pollutants in Ramsbottom, Greater Manchester

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Ramsbottom, Greater Manchester air quality forecast and history

Empower business decisions with accurate air quality data

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

Air quality in nearby cities

Haslingden, Lancashire

Rawtenstall, Lancashire

Bury, Greater Manchester

Heywood, Greater Manchester

Radcliffe, Greater Manchester

Little Lever, 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 Ramsbottom, Greater Manchester updated?

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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