What are the current PM10 levels at Rawtenstall, Lancashire?

The current PM10 levels in Rawtenstall, Lancashire are 11.256 μg/m3.

What are the current sulfur dioxide (SO2) levels at Rawtenstall, Lancashire?

The current sulfur dioxide (SO2) levels in Rawtenstall, Lancashire are 0.476 ppb.

What are the current ozone (O3) levels at Rawtenstall, Lancashire?

The current ozone (O3) levels at Rawtenstall, Lancashire is 20.229 ppm.

What are the current nitrogen dioxide (NO2) levels at Rawtenstall, Lancashire?

The current nitrogen dioxide (NO2) levels at Rawtenstall, Lancashire is 2.808 ppb.

Real-time air quality index in Rawtenstall, Lancashire today

Name: Live air pollution levels in Rawtenstall, Lancashire today
Creator: Ambee

Stay updated with real-time air quality in Rawtenstall, Lancashire 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

Rawtenstall, Lancashire

Last updated: ... (Local time)

Common air pollutants in Rawtenstall, Lancashire

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

2.13 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

6.03 μg/m³

155

255

425

605+

Ozone (O₃)

26.16 ppb

201

201+

Sulfur Dioxide (SO₂)

0.44 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

2.12 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.25 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

Rawtenstall, Lancashire

Get Live Pollen Counts

Rawtenstall, Lancashire

Scroll To Air Quality Map

Track live Rawtenstall, Lancashire air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-09-16T04:00:00.000Z	28 \| good	4.945 \| good	8.824 \| good	30.435 \| good	0.515 \| good	0.852 \| good	0.268 \| good
2025-09-16T05:00:00.000Z	28 \| good	5.053 \| good	10.37 \| good	30.051 \| good	0.43 \| good	0.58 \| good	0.271 \| good
2025-09-16T06:00:00.000Z	28 \| good	5.115 \| good	9.803 \| good	30.042 \| good	0.382 \| good	1.02 \| good	0.107 \| good
2025-09-16T07:00:00.000Z	28 \| good	4.158 \| good	9.65 \| good	29.994 \| good	0.382 \| good	2.569 \| good	0.114 \| good
2025-09-16T08:00:00.000Z	28 \| good	4.751 \| good	9.058 \| good	29.588 \| good	0.465 \| good	4.167 \| good	0.105 \| good
2025-09-16T09:00:00.000Z	27 \| good	4.31 \| good	10.269 \| good	29.069 \| good	0.482 \| good	6.693 \| good	0.1 \| good
2025-09-16T10:00:00.000Z	27 \| good	3.959 \| good	10.662 \| good	29.055 \| good	0.482 \| good	5.666 \| good	0.117 \| good
2025-09-16T11:00:00.000Z	27 \| good	4.27 \| good	11.88 \| good	29.08 \| good	0.447 \| good	5.901 \| good	0.096 \| good
2025-09-16T12:00:00.000Z	27 \| good	4.953 \| good	11.205 \| good	26.966 \| good	0.513 \| good	4.51 \| good	0.089 \| good
2025-09-16T13:00:00.000Z	33 \| good	5.51 \| good	12.171 \| good	28.524 \| good	0.527 \| good	3.184 \| good	0.086 \| good
2025-09-16T14:00:00.000Z	27 \| good	5.074 \| good	12.109 \| good	27.737 \| good	0.382 \| good	5.419 \| good	0.088 \| good
2025-09-16T15:00:00.000Z	27 \| good	4.886 \| good	13.669 \| good	28.62 \| good	0.565 \| good	4.61 \| good	0.09 \| good
2025-09-16T16:00:00.000Z	33 \| good	5.512 \| good	12.52 \| good	28.461 \| good	0.432 \| good	5.547 \| good	0.085 \| good
2025-09-16T17:00:00.000Z	27 \| good	5.01 \| good	12.353 \| good	28.909 \| good	0.434 \| good	5.48 \| good	0.086 \| good
2025-09-16T18:00:00.000Z	33 \| good	5.514 \| good	13.014 \| good	30.085 \| good	0.435 \| good	6.025 \| good	0.094 \| good
2025-09-16T19:00:00.000Z	28 \| good	4.943 \| good	9.751 \| good	29.617 \| good	0.436 \| good	6.132 \| good	0.1 \| good
2025-09-16T20:00:00.000Z	27 \| good	5.231 \| good	12.345 \| good	29.175 \| good	0.443 \| good	9.434 \| good	0.098 \| good
2025-09-16T21:00:00.000Z	27 \| good	5.168 \| good	8.057 \| good	28.584 \| good	0.382 \| good	12.005 \| good	0.099 \| good
2025-09-16T22:00:00.000Z	26 \| good	4.476 \| good	12.193 \| good	28.075 \| good	0.382 \| good	9.887 \| good	0.081 \| good
2025-09-16T23:00:00.000Z	27 \| good	4.858 \| good	11.984 \| good	25.439 \| good	0.382 \| good	7.729 \| good	0.084 \| good
2025-09-17T00:00:00.000Z	27 \| good	5.07 \| good	13.405 \| good	24.367 \| good	0.436 \| good	5.556 \| good	0.285 \| good
2025-09-17T01:00:00.000Z	27 \| good	4.622 \| good	12.218 \| good	21.204 \| good	0.516 \| good	4.089 \| good	0.339 \| good
2025-09-17T02:00:00.000Z	27 \| good	4.576 \| good	11.158 \| good	21.683 \| good	0.567 \| good	3.484 \| good	0.247 \| good
2025-09-17T03:00:00.000Z	27 \| good	4.508 \| good	12.163 \| good	21.965 \| good	0.571 \| good	3.484 \| good	0.243 \| good
2025-09-17T04:00:00.000Z	27 \| good	4.52 \| good	11.486 \| good	19.61 \| good	0.528 \| good	3.143 \| good	0.242 \| good
2025-09-17T05:00:00.000Z	27 \| good	4.668 \| good	10.937 \| good	19.61 \| good	0.382 \| good	2.219 \| good	0.25 \| good
2025-09-17T06:00:00.000Z	22 \| good	4.321 \| good	10.303 \| good	20.577 \| good	0.382 \| good	2.772 \| good	0.082 \| good
2025-09-17T07:00:00.000Z	22 \| good	4.034 \| good	10.67 \| good	20.403 \| good	0.43 \| good	3.869 \| good	0.089 \| good
2025-09-17T08:00:00.000Z	22 \| good	3.852 \| good	9.943 \| good	20.513 \| good	0.527 \| good	6.881 \| good	0.083 \| good
2025-09-17T09:00:00.000Z	22 \| good	3.739 \| good	9.007 \| good	22.286 \| good	0.71 \| good	7.94 \| good	0.079 \| good
2025-09-17T10:00:00.000Z	22 \| good	3.777 \| good	9.346 \| good	19.526 \| good	0.703 \| good	8.874 \| good	0.077 \| good
2025-09-17T11:00:00.000Z	21 \| good	3.061 \| good	9.348 \| good	22.59 \| good	0.703 \| good	7.965 \| good	0.097 \| good
2025-09-17T12:00:00.000Z	22 \| good	3.688 \| good	8.394 \| good	21.75 \| good	0.953 \| good	10.093 \| good	0.077 \| good
2025-09-17T13:00:00.000Z	19 \| good	3.41 \| good	8.381 \| good	21.343 \| good	0.872 \| good	7.863 \| good	0.08 \| good
2025-09-17T14:00:00.000Z	18 \| good	3.322 \| good	8.107 \| good	19.061 \| good	0.79 \| good	7.037 \| good	0.076 \| good
2025-09-17T15:00:00.000Z	20 \| good	2.685 \| good	7.489 \| good	22.422 \| good	0.627 \| good	6.788 \| good	0.076 \| good
2025-09-17T16:00:00.000Z	21 \| good	2.56 \| good	7.431 \| good	22.648 \| good	0.56 \| good	4.129 \| good	0.077 \| good
2025-09-17T17:00:00.000Z	21 \| good	2.779 \| good	7.335 \| good	23.187 \| good	0.561 \| good	3.711 \| good	0.085 \| good
2025-09-17T18:00:00.000Z	23 \| good	2.572 \| good	5.828 \| good	24.564 \| good	0.509 \| good	4.263 \| good	0.082 \| good
2025-09-17T19:00:00.000Z	23 \| good	2.526 \| good	6.292 \| good	24.945 \| good	0.503 \| good	4.532 \| good	0.082 \| good
2025-09-17T20:00:00.000Z	22 \| good	2.788 \| good	5.738 \| good	24.279 \| good	0.5 \| good	5.554 \| good	0.086 \| good
2025-09-17T21:00:00.000Z	24 \| good	2.252 \| good	5.736 \| good	25.775 \| good	0.436 \| good	4.461 \| good	0.096 \| good
2025-09-17T22:00:00.000Z	24 \| good	2.389 \| good	5.362 \| good	26.434 \| good	0.438 \| good	4.392 \| good	0.06 \| good
2025-09-17T23:00:00.000Z	24 \| good	2.235 \| good	5.518 \| good	26.379 \| good	0.436 \| good	5.062 \| good	0.058 \| good
2025-09-18T00:00:00.000Z	25 \| good	2.505 \| good	5.593 \| good	27.331 \| good	0.437 \| good	3.329 \| good	0.256 \| good
2025-09-18T01:00:00.000Z	26 \| good	2.527 \| good	5.992 \| good	28.092 \| good	0.436 \| good	3.08 \| good	0.198 \| good
2025-09-18T02:00:00.000Z	26 \| good	2.62 \| good	6.07 \| good	27.816 \| good	0.436 \| good	1.587 \| good	0.247 \| good
2025-09-18T03:00:00.000Z	24 \| good	2.133 \| good	6.033 \| good	26.156 \| good	0.443 \| good	2.116 \| good	0.247 \| good
2025-09-17T05:00:00.000Z	24 \| good	1.814 \| good	2.346 \| good	25.926 \| good	0.077 \| good	2.754 \| good	0.124 \| good
2025-09-17T06:00:00.000Z	25 \| good	1.761 \| good	2.045 \| good	26.6 \| good	0.084 \| good	3.145 \| good	0.124 \| good
2025-09-17T07:00:00.000Z	25 \| good	1.656 \| good	1.926 \| good	26.923 \| good	0.084 \| good	4.406 \| good	0.125 \| good
2025-09-17T08:00:00.000Z	24 \| good	1.911 \| good	2.26 \| good	26.272 \| good	0.104 \| good	5.559 \| good	0.127 \| good
2025-09-17T09:00:00.000Z	23 \| good	2.303 \| good	2.819 \| good	25.387 \| good	0.119 \| good	5.816 \| good	0.126 \| good
2025-09-17T10:00:00.000Z	24 \| good	2.479 \| good	3.606 \| good	26.25 \| good	0.169 \| good	4.328 \| good	0.122 \| good
2025-09-17T11:00:00.000Z	26 \| good	2.869 \| good	5.862 \| good	28.199 \| good	0.198 \| good	3.13 \| good	0.117 \| good
2025-09-17T12:00:00.000Z	28 \| good	3.958 \| good	7.977 \| good	30.031 \| good	0.135 \| good	2.018 \| good	0.11 \| good
2025-09-17T13:00:00.000Z	30 \| good	4.629 \| good	9.058 \| good	32.422 \| good	0.122 \| good	1.376 \| good	0.106 \| good
2025-09-17T14:00:00.000Z	31 \| good	4.459 \| good	8.877 \| good	33.157 \| good	0.122 \| good	1.384 \| good	0.105 \| good
2025-09-17T15:00:00.000Z	31 \| good	4.393 \| good	9.675 \| good	33.385 \| good	0.111 \| good	1.607 \| good	0.106 \| good
2025-09-17T16:00:00.000Z	31 \| good	4.399 \| good	10.619 \| good	33.279 \| good	0.125 \| good	2.154 \| good	0.108 \| good
2025-09-17T17:00:00.000Z	31 \| good	4.5 \| good	10.858 \| good	32.841 \| good	0.148 \| good	2.859 \| good	0.111 \| good
2025-09-17T18:00:00.000Z	31 \| good	4.078 \| good	10.326 \| good	33.766 \| good	0.18 \| good	3.2 \| good	0.113 \| good
2025-09-17T19:00:00.000Z	31 \| good	4.214 \| good	11.586 \| good	33.951 \| good	0.201 \| good	3.574 \| good	0.114 \| good
2025-09-17T20:00:00.000Z	31 \| good	4.434 \| good	12.674 \| good	34.5 \| good	0.213 \| good	3.276 \| good	0.113 \| good
2025-09-17T21:00:00.000Z	32 \| good	4.514 \| good	13.254 \| good	34.669 \| good	0.192 \| good	3.033 \| good	0.112 \| good
2025-09-17T22:00:00.000Z	31 \| good	4.733 \| good	14.383 \| good	34.043 \| good	0.178 \| good	2.867 \| good	0.112 \| good
2025-09-17T23:00:00.000Z	31 \| good	4.684 \| good	14.429 \| good	33.722 \| good	0.163 \| good	2.723 \| good	0.111 \| good
2025-09-18T00:00:00.000Z	31 \| good	4.82 \| good	14.063 \| good	33.16 \| good	0.176 \| good	2.652 \| good	0.111 \| good
2025-09-18T01:00:00.000Z	31 \| good	4.857 \| good	13.215 \| good	32.595 \| good	0.179 \| good	2.467 \| good	0.111 \| good
2025-09-18T02:00:00.000Z	31 \| good	4.832 \| good	12.522 \| good	32.891 \| good	0.206 \| good	2.294 \| good	0.111 \| good
2025-09-18T03:00:00.000Z	31 \| good	4.554 \| good	11.668 \| good	32.98 \| good	0.241 \| good	2.419 \| good	0.111 \| good
2025-09-18T04:00:00.000Z	29 \| good	4.05 \| good	8.706 \| good	30.863 \| good	0.214 \| good	2.543 \| good	0.111 \| good
2025-09-18T05:00:00.000Z	27 \| good	3.599 \| good	7.11 \| good	28.962 \| good	0.19 \| good	2.918 \| good	0.111 \| good
2025-09-18T06:00:00.000Z	23 \| good	3.426 \| good	6.561 \| good	25.079 \| good	0.195 \| good	4.655 \| good	0.112 \| good
2025-09-18T07:00:00.000Z	20 \| good	3.463 \| good	6.325 \| good	21.872 \| good	0.177 \| good	6.949 \| good	0.115 \| good
2025-09-18T08:00:00.000Z	21 \| good	3.258 \| good	5.008 \| good	22.938 \| good	0.201 \| good	6.334 \| good	0.112 \| good
2025-09-18T09:00:00.000Z	24 \| good	3.002 \| good	4.816 \| good	26.247 \| good	0.236 \| good	4.787 \| good	0.107 \| good
2025-09-18T10:00:00.000Z	26 \| good	3.174 \| good	5.61 \| good	28.333 \| good	0.193 \| good	3.496 \| good	0.104 \| good
2025-09-18T11:00:00.000Z	27 \| good	3.235 \| good	6.124 \| good	28.612 \| good	0.193 \| good	3.01 \| good	0.102 \| good
2025-09-18T12:00:00.000Z	26 \| good	3.126 \| good	5.783 \| good	27.878 \| good	0.175 \| good	2.875 \| good	0.103 \| good
2025-09-18T13:00:00.000Z	25 \| good	2.747 \| good	4.975 \| good	27.171 \| good	0.191 \| good	2.659 \| good	0.102 \| good
2025-09-18T14:00:00.000Z	25 \| good	2.77 \| good	4.865 \| good	26.869 \| good	0.167 \| good	2.32 \| good	0.101 \| good
2025-09-18T15:00:00.000Z	25 \| good	3.187 \| good	5.918 \| good	26.908 \| good	0.128 \| good	2.247 \| good	0.1 \| good
2025-09-18T16:00:00.000Z	25 \| good	3.242 \| good	6.685 \| good	27.367 \| good	0.131 \| good	2.515 \| good	0.101 \| good
2025-09-18T17:00:00.000Z	24 \| good	3.177 \| good	5.229 \| good	26.437 \| good	0.156 \| good	3.262 \| good	0.103 \| good
2025-09-18T18:00:00.000Z	24 \| good	3.122 \| good	4.533 \| good	25.815 \| good	0.155 \| good	3.863 \| good	0.104 \| good
2025-09-18T19:00:00.000Z	22 \| good	2.924 \| good	3.575 \| good	24.257 \| good	0.144 \| good	4.211 \| good	0.104 \| good
2025-09-18T20:00:00.000Z	23 \| good	2.637 \| good	3.539 \| good	24.908 \| good	0.148 \| good	4.797 \| good	0.105 \| good
2025-09-18T21:00:00.000Z	25 \| good	2.771 \| good	3.677 \| good	26.561 \| good	0.181 \| good	3.983 \| good	0.103 \| good
2025-09-18T22:00:00.000Z	26 \| good	2.903 \| good	4.562 \| good	28.466 \| good	0.18 \| good	3.347 \| good	0.099 \| good
2025-09-18T23:00:00.000Z	27 \| good	2.982 \| good	4.478 \| good	28.753 \| good	0.143 \| good	2.711 \| good	0.098 \| good
2025-09-19T00:00:00.000Z	26 \| good	2.795 \| good	4.133 \| good	28.222 \| good	0.122 \| good	2.542 \| good	0.097 \| good
2025-09-19T01:00:00.000Z	25 \| good	2.752 \| good	3.742 \| good	27.184 \| good	0.088 \| good	2.596 \| good	0.098 \| good
2025-09-19T02:00:00.000Z	25 \| good	2.706 \| good	3.597 \| good	26.918 \| good	0.102 \| good	2.616 \| good	0.101 \| good
2025-09-19T03:00:00.000Z	24 \| good	2.628 \| good	3.824 \| good	26.348 \| good	0.086 \| good	2.37 \| good	0.1 \| good
2025-09-19T04:00:00.000Z	23 \| good	2.602 \| good	3.726 \| good	25.478 \| good	0.094 \| good	2.007 \| good	0.099 \| good

Rawtenstall

Empower business decisions with accurate air quality data

Rawtenstall, Lancashire air quality map: Real-time AQI near you

0.24ppm

How accurate is Lancashire, UK air quality data?

Air quality measurements for Lancashire, 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 Rawtenstall, Lancashire updated?

Air quality data for Rawtenstall, Lancashire is updated on an hourly basis.

When did Rawtenstall, Lancashire experience the worst air quality in the last 24 hours?

The worst air quality in Rawtenstall, Lancashire was recorded at 05:00:00 on 2025-09-16.

When did Rawtenstall, Lancashire have its best air quality in the last 24 hours?

The best air quality in Rawtenstall, Lancashire was recorded at 03:00:00 on 2025-09-17.

What is the real-time air quality index for Rawtenstall, Lancashire?

The real-time air quality index in Rawtenstall, Lancashire is 22, currently categorized as Good.

Which pollutant is found most often in Rawtenstall, Lancashire?

The most common pollutant in Rawtenstall, Lancashire is PM2.5.

What can I do if the air quality in Rawtenstall, Lancashire is poor?

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

What are the current PM_2.5 levels in Rawtenstall, Lancashire?

The measured PM_2.5 levels in Rawtenstall, Lancashire at present are 4.248 μg/m³.

What are the current PM₁₀ levels at Rawtenstall, Lancashire?

The current PM₁₀ levels in Rawtenstall, Lancashire are 11.256 μg/m³.

What are the current carbon monoxide (CO) levels at Rawtenstall, Lancashire?

The current carbon monoxide (CO) level in Rawtenstall, Lancashire is 0.242 ppm.

What are the current sulfur dioxide (SO₂) levels at Rawtenstall, Lancashire?

The current sulfur dioxide (SO₂) levels in Rawtenstall, Lancashire are 0.476 ppb.

What are the current ozone (O₃) levels at Rawtenstall, Lancashire?

The current ozone (O₃) levels at Rawtenstall, Lancashire is 20.229 ppm.

What are the current nitrogen dioxide (NO₂) levels at Rawtenstall, Lancashire?

The current nitrogen dioxide (NO₂) levels at Rawtenstall, Lancashire is 2.808 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-09-16T04:00:00.000Z	28 \| good	4.945 \| good	8.824 \| good	30.435 \| good	0.515 \| good	0.852 \| good	0.268 \| good
2025-09-16T05:00:00.000Z	28 \| good	5.053 \| good	10.37 \| good	30.051 \| good	0.43 \| good	0.58 \| good	0.271 \| good
2025-09-16T06:00:00.000Z	28 \| good	5.115 \| good	9.803 \| good	30.042 \| good	0.382 \| good	1.02 \| good	0.107 \| good
2025-09-16T07:00:00.000Z	28 \| good	4.158 \| good	9.65 \| good	29.994 \| good	0.382 \| good	2.569 \| good	0.114 \| good
2025-09-16T08:00:00.000Z	28 \| good	4.751 \| good	9.058 \| good	29.588 \| good	0.465 \| good	4.167 \| good	0.105 \| good
2025-09-16T09:00:00.000Z	27 \| good	4.31 \| good	10.269 \| good	29.069 \| good	0.482 \| good	6.693 \| good	0.1 \| good
2025-09-16T10:00:00.000Z	27 \| good	3.959 \| good	10.662 \| good	29.055 \| good	0.482 \| good	5.666 \| good	0.117 \| good
2025-09-16T11:00:00.000Z	27 \| good	4.27 \| good	11.88 \| good	29.08 \| good	0.447 \| good	5.901 \| good	0.096 \| good
2025-09-16T12:00:00.000Z	27 \| good	4.953 \| good	11.205 \| good	26.966 \| good	0.513 \| good	4.51 \| good	0.089 \| good
2025-09-16T13:00:00.000Z	33 \| good	5.51 \| good	12.171 \| good	28.524 \| good	0.527 \| good	3.184 \| good	0.086 \| good
2025-09-16T14:00:00.000Z	27 \| good	5.074 \| good	12.109 \| good	27.737 \| good	0.382 \| good	5.419 \| good	0.088 \| good
2025-09-16T15:00:00.000Z	27 \| good	4.886 \| good	13.669 \| good	28.62 \| good	0.565 \| good	4.61 \| good	0.09 \| good
2025-09-16T16:00:00.000Z	33 \| good	5.512 \| good	12.52 \| good	28.461 \| good	0.432 \| good	5.547 \| good	0.085 \| good
2025-09-16T17:00:00.000Z	27 \| good	5.01 \| good	12.353 \| good	28.909 \| good	0.434 \| good	5.48 \| good	0.086 \| good
2025-09-16T18:00:00.000Z	33 \| good	5.514 \| good	13.014 \| good	30.085 \| good	0.435 \| good	6.025 \| good	0.094 \| good
2025-09-16T19:00:00.000Z	28 \| good	4.943 \| good	9.751 \| good	29.617 \| good	0.436 \| good	6.132 \| good	0.1 \| good
2025-09-16T20:00:00.000Z	27 \| good	5.231 \| good	12.345 \| good	29.175 \| good	0.443 \| good	9.434 \| good	0.098 \| good
2025-09-16T21:00:00.000Z	27 \| good	5.168 \| good	8.057 \| good	28.584 \| good	0.382 \| good	12.005 \| good	0.099 \| good
2025-09-16T22:00:00.000Z	26 \| good	4.476 \| good	12.193 \| good	28.075 \| good	0.382 \| good	9.887 \| good	0.081 \| good
2025-09-16T23:00:00.000Z	27 \| good	4.858 \| good	11.984 \| good	25.439 \| good	0.382 \| good	7.729 \| good	0.084 \| good
2025-09-17T00:00:00.000Z	27 \| good	5.07 \| good	13.405 \| good	24.367 \| good	0.436 \| good	5.556 \| good	0.285 \| good
2025-09-17T01:00:00.000Z	27 \| good	4.622 \| good	12.218 \| good	21.204 \| good	0.516 \| good	4.089 \| good	0.339 \| good
2025-09-17T02:00:00.000Z	27 \| good	4.576 \| good	11.158 \| good	21.683 \| good	0.567 \| good	3.484 \| good	0.247 \| good
2025-09-17T03:00:00.000Z	27 \| good	4.508 \| good	12.163 \| good	21.965 \| good	0.571 \| good	3.484 \| good	0.243 \| good
2025-09-17T04:00:00.000Z	27 \| good	4.52 \| good	11.486 \| good	19.61 \| good	0.528 \| good	3.143 \| good	0.242 \| good
2025-09-17T05:00:00.000Z	27 \| good	4.668 \| good	10.937 \| good	19.61 \| good	0.382 \| good	2.219 \| good	0.25 \| good
2025-09-17T06:00:00.000Z	22 \| good	4.321 \| good	10.303 \| good	20.577 \| good	0.382 \| good	2.772 \| good	0.082 \| good
2025-09-17T07:00:00.000Z	22 \| good	4.034 \| good	10.67 \| good	20.403 \| good	0.43 \| good	3.869 \| good	0.089 \| good
2025-09-17T08:00:00.000Z	22 \| good	3.852 \| good	9.943 \| good	20.513 \| good	0.527 \| good	6.881 \| good	0.083 \| good
2025-09-17T09:00:00.000Z	22 \| good	3.739 \| good	9.007 \| good	22.286 \| good	0.71 \| good	7.94 \| good	0.079 \| good
2025-09-17T10:00:00.000Z	22 \| good	3.777 \| good	9.346 \| good	19.526 \| good	0.703 \| good	8.874 \| good	0.077 \| good
2025-09-17T11:00:00.000Z	21 \| good	3.061 \| good	9.348 \| good	22.59 \| good	0.703 \| good	7.965 \| good	0.097 \| good
2025-09-17T12:00:00.000Z	22 \| good	3.688 \| good	8.394 \| good	21.75 \| good	0.953 \| good	10.093 \| good	0.077 \| good
2025-09-17T13:00:00.000Z	19 \| good	3.41 \| good	8.381 \| good	21.343 \| good	0.872 \| good	7.863 \| good	0.08 \| good
2025-09-17T14:00:00.000Z	18 \| good	3.322 \| good	8.107 \| good	19.061 \| good	0.79 \| good	7.037 \| good	0.076 \| good
2025-09-17T15:00:00.000Z	20 \| good	2.685 \| good	7.489 \| good	22.422 \| good	0.627 \| good	6.788 \| good	0.076 \| good
2025-09-17T16:00:00.000Z	21 \| good	2.56 \| good	7.431 \| good	22.648 \| good	0.56 \| good	4.129 \| good	0.077 \| good
2025-09-17T17:00:00.000Z	21 \| good	2.779 \| good	7.335 \| good	23.187 \| good	0.561 \| good	3.711 \| good	0.085 \| good
2025-09-17T18:00:00.000Z	23 \| good	2.572 \| good	5.828 \| good	24.564 \| good	0.509 \| good	4.263 \| good	0.082 \| good
2025-09-17T19:00:00.000Z	23 \| good	2.526 \| good	6.292 \| good	24.945 \| good	0.503 \| good	4.532 \| good	0.082 \| good
2025-09-17T20:00:00.000Z	22 \| good	2.788 \| good	5.738 \| good	24.279 \| good	0.5 \| good	5.554 \| good	0.086 \| good
2025-09-17T21:00:00.000Z	24 \| good	2.252 \| good	5.736 \| good	25.775 \| good	0.436 \| good	4.461 \| good	0.096 \| good
2025-09-17T22:00:00.000Z	24 \| good	2.389 \| good	5.362 \| good	26.434 \| good	0.438 \| good	4.392 \| good	0.06 \| good
2025-09-17T23:00:00.000Z	24 \| good	2.235 \| good	5.518 \| good	26.379 \| good	0.436 \| good	5.062 \| good	0.058 \| good
2025-09-18T00:00:00.000Z	25 \| good	2.505 \| good	5.593 \| good	27.331 \| good	0.437 \| good	3.329 \| good	0.256 \| good
2025-09-18T01:00:00.000Z	26 \| good	2.527 \| good	5.992 \| good	28.092 \| good	0.436 \| good	3.08 \| good	0.198 \| good
2025-09-18T02:00:00.000Z	26 \| good	2.62 \| good	6.07 \| good	27.816 \| good	0.436 \| good	1.587 \| good	0.247 \| good
2025-09-18T03:00:00.000Z	24 \| good	2.133 \| good	6.033 \| good	26.156 \| good	0.443 \| good	2.116 \| good	0.247 \| good
2025-09-17T05:00:00.000Z	24 \| good	1.814 \| good	2.346 \| good	25.926 \| good	0.077 \| good	2.754 \| good	0.124 \| good
2025-09-17T06:00:00.000Z	25 \| good	1.761 \| good	2.045 \| good	26.6 \| good	0.084 \| good	3.145 \| good	0.124 \| good
2025-09-17T07:00:00.000Z	25 \| good	1.656 \| good	1.926 \| good	26.923 \| good	0.084 \| good	4.406 \| good	0.125 \| good
2025-09-17T08:00:00.000Z	24 \| good	1.911 \| good	2.26 \| good	26.272 \| good	0.104 \| good	5.559 \| good	0.127 \| good
2025-09-17T09:00:00.000Z	23 \| good	2.303 \| good	2.819 \| good	25.387 \| good	0.119 \| good	5.816 \| good	0.126 \| good
2025-09-17T10:00:00.000Z	24 \| good	2.479 \| good	3.606 \| good	26.25 \| good	0.169 \| good	4.328 \| good	0.122 \| good
2025-09-17T11:00:00.000Z	26 \| good	2.869 \| good	5.862 \| good	28.199 \| good	0.198 \| good	3.13 \| good	0.117 \| good
2025-09-17T12:00:00.000Z	28 \| good	3.958 \| good	7.977 \| good	30.031 \| good	0.135 \| good	2.018 \| good	0.11 \| good
2025-09-17T13:00:00.000Z	30 \| good	4.629 \| good	9.058 \| good	32.422 \| good	0.122 \| good	1.376 \| good	0.106 \| good
2025-09-17T14:00:00.000Z	31 \| good	4.459 \| good	8.877 \| good	33.157 \| good	0.122 \| good	1.384 \| good	0.105 \| good
2025-09-17T15:00:00.000Z	31 \| good	4.393 \| good	9.675 \| good	33.385 \| good	0.111 \| good	1.607 \| good	0.106 \| good
2025-09-17T16:00:00.000Z	31 \| good	4.399 \| good	10.619 \| good	33.279 \| good	0.125 \| good	2.154 \| good	0.108 \| good
2025-09-17T17:00:00.000Z	31 \| good	4.5 \| good	10.858 \| good	32.841 \| good	0.148 \| good	2.859 \| good	0.111 \| good
2025-09-17T18:00:00.000Z	31 \| good	4.078 \| good	10.326 \| good	33.766 \| good	0.18 \| good	3.2 \| good	0.113 \| good
2025-09-17T19:00:00.000Z	31 \| good	4.214 \| good	11.586 \| good	33.951 \| good	0.201 \| good	3.574 \| good	0.114 \| good
2025-09-17T20:00:00.000Z	31 \| good	4.434 \| good	12.674 \| good	34.5 \| good	0.213 \| good	3.276 \| good	0.113 \| good
2025-09-17T21:00:00.000Z	32 \| good	4.514 \| good	13.254 \| good	34.669 \| good	0.192 \| good	3.033 \| good	0.112 \| good
2025-09-17T22:00:00.000Z	31 \| good	4.733 \| good	14.383 \| good	34.043 \| good	0.178 \| good	2.867 \| good	0.112 \| good
2025-09-17T23:00:00.000Z	31 \| good	4.684 \| good	14.429 \| good	33.722 \| good	0.163 \| good	2.723 \| good	0.111 \| good
2025-09-18T00:00:00.000Z	31 \| good	4.82 \| good	14.063 \| good	33.16 \| good	0.176 \| good	2.652 \| good	0.111 \| good
2025-09-18T01:00:00.000Z	31 \| good	4.857 \| good	13.215 \| good	32.595 \| good	0.179 \| good	2.467 \| good	0.111 \| good
2025-09-18T02:00:00.000Z	31 \| good	4.832 \| good	12.522 \| good	32.891 \| good	0.206 \| good	2.294 \| good	0.111 \| good
2025-09-18T03:00:00.000Z	31 \| good	4.554 \| good	11.668 \| good	32.98 \| good	0.241 \| good	2.419 \| good	0.111 \| good
2025-09-18T04:00:00.000Z	29 \| good	4.05 \| good	8.706 \| good	30.863 \| good	0.214 \| good	2.543 \| good	0.111 \| good
2025-09-18T05:00:00.000Z	27 \| good	3.599 \| good	7.11 \| good	28.962 \| good	0.19 \| good	2.918 \| good	0.111 \| good
2025-09-18T06:00:00.000Z	23 \| good	3.426 \| good	6.561 \| good	25.079 \| good	0.195 \| good	4.655 \| good	0.112 \| good
2025-09-18T07:00:00.000Z	20 \| good	3.463 \| good	6.325 \| good	21.872 \| good	0.177 \| good	6.949 \| good	0.115 \| good
2025-09-18T08:00:00.000Z	21 \| good	3.258 \| good	5.008 \| good	22.938 \| good	0.201 \| good	6.334 \| good	0.112 \| good
2025-09-18T09:00:00.000Z	24 \| good	3.002 \| good	4.816 \| good	26.247 \| good	0.236 \| good	4.787 \| good	0.107 \| good
2025-09-18T10:00:00.000Z	26 \| good	3.174 \| good	5.61 \| good	28.333 \| good	0.193 \| good	3.496 \| good	0.104 \| good
2025-09-18T11:00:00.000Z	27 \| good	3.235 \| good	6.124 \| good	28.612 \| good	0.193 \| good	3.01 \| good	0.102 \| good
2025-09-18T12:00:00.000Z	26 \| good	3.126 \| good	5.783 \| good	27.878 \| good	0.175 \| good	2.875 \| good	0.103 \| good
2025-09-18T13:00:00.000Z	25 \| good	2.747 \| good	4.975 \| good	27.171 \| good	0.191 \| good	2.659 \| good	0.102 \| good
2025-09-18T14:00:00.000Z	25 \| good	2.77 \| good	4.865 \| good	26.869 \| good	0.167 \| good	2.32 \| good	0.101 \| good
2025-09-18T15:00:00.000Z	25 \| good	3.187 \| good	5.918 \| good	26.908 \| good	0.128 \| good	2.247 \| good	0.1 \| good
2025-09-18T16:00:00.000Z	25 \| good	3.242 \| good	6.685 \| good	27.367 \| good	0.131 \| good	2.515 \| good	0.101 \| good
2025-09-18T17:00:00.000Z	24 \| good	3.177 \| good	5.229 \| good	26.437 \| good	0.156 \| good	3.262 \| good	0.103 \| good
2025-09-18T18:00:00.000Z	24 \| good	3.122 \| good	4.533 \| good	25.815 \| good	0.155 \| good	3.863 \| good	0.104 \| good
2025-09-18T19:00:00.000Z	22 \| good	2.924 \| good	3.575 \| good	24.257 \| good	0.144 \| good	4.211 \| good	0.104 \| good
2025-09-18T20:00:00.000Z	23 \| good	2.637 \| good	3.539 \| good	24.908 \| good	0.148 \| good	4.797 \| good	0.105 \| good
2025-09-18T21:00:00.000Z	25 \| good	2.771 \| good	3.677 \| good	26.561 \| good	0.181 \| good	3.983 \| good	0.103 \| good
2025-09-18T22:00:00.000Z	26 \| good	2.903 \| good	4.562 \| good	28.466 \| good	0.18 \| good	3.347 \| good	0.099 \| good
2025-09-18T23:00:00.000Z	27 \| good	2.982 \| good	4.478 \| good	28.753 \| good	0.143 \| good	2.711 \| good	0.098 \| good
2025-09-19T00:00:00.000Z	26 \| good	2.795 \| good	4.133 \| good	28.222 \| good	0.122 \| good	2.542 \| good	0.097 \| good
2025-09-19T01:00:00.000Z	25 \| good	2.752 \| good	3.742 \| good	27.184 \| good	0.088 \| good	2.596 \| good	0.098 \| good
2025-09-19T02:00:00.000Z	25 \| good	2.706 \| good	3.597 \| good	26.918 \| good	0.102 \| good	2.616 \| good	0.101 \| good
2025-09-19T03:00:00.000Z	24 \| good	2.628 \| good	3.824 \| good	26.348 \| good	0.086 \| good	2.37 \| good	0.1 \| good
2025-09-19T04:00:00.000Z	23 \| good	2.602 \| good	3.726 \| good	25.478 \| good	0.094 \| good	2.007 \| good	0.099 \| good

Real-time air quality index in Rawtenstall, Lancashire today

Common air pollutants in Rawtenstall, Lancashire

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Rawtenstall, Lancashire air quality forecast and history

Empower business decisions with accurate air quality data

Rawtenstall, Lancashire air quality map: Real-time AQI near you

Air quality in nearby cities

Haslingden, Lancashire

Ramsbottom, Greater Manchester

Bacup, Lancashire

Accrington, Lancashire

Oswaldtwistle, Lancashire

Burnley, Lancashire

How accurate is Lancashire, UK air quality data?

Air quality levels in UK

Frequently asked questions

How frequently is the air quality data for Rawtenstall, Lancashire updated?

When did Rawtenstall, Lancashire experience the worst air quality in the last 24 hours?

When did Rawtenstall, Lancashire have its best air quality in the last 24 hours?

What is the real-time air quality index for Rawtenstall, Lancashire?

Which pollutant is found most often in Rawtenstall, Lancashire?

What can I do if the air quality in Rawtenstall, Lancashire is poor?

What are the current PM2.5 levels in Rawtenstall, Lancashire?

What are the current PM10 levels at Rawtenstall, Lancashire?

What are the current carbon monoxide (CO) levels at Rawtenstall, Lancashire?

What are the current sulfur dioxide (SO2) levels at Rawtenstall, Lancashire?

What are the current ozone (O3) levels at Rawtenstall, Lancashire?

What are the current nitrogen dioxide (NO2) levels at Rawtenstall, Lancashire?

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 Rawtenstall, Lancashire?

What are the current PM₁₀ levels at Rawtenstall, Lancashire?

What are the current sulfur dioxide (SO₂) levels at Rawtenstall, Lancashire?

What are the current ozone (O₃) levels at Rawtenstall, Lancashire?

What are the current nitrogen dioxide (NO₂) levels at Rawtenstall, Lancashire?