What is the current concentration of PM10 in Marlow, Buckinghamshire?

The current PM10 concentration at Marlow, Buckinghamshire is 10.471 μg/m3.

What is the current concentration of sulfur dioxide (SO2) in Marlow, Buckinghamshire?

The current sulfur dioxide (SO2) concentration at Marlow, Buckinghamshire is 0.724 ppb.

What is the current concentration of ozone (O3) in Marlow, Buckinghamshire?

The current ozone (O3) concentration at Marlow, Buckinghamshire is 29.004 ppm.

What is the current concentration of nitrogen dioxide (NO2) in Marlow, Buckinghamshire?

The current nitrogen dioxide (NO2) concentration at Marlow, Buckinghamshire is 4.358 ppb.

Marlow, Buckinghamshire live air quality index now

Q: What is the current concentration of PM2.5 in Marlow, Buckinghamshire?

The current PM2.5 concentration at Marlow, Buckinghamshire is 3.412 μg/m3.

Stay updated with real-time air quality in Marlow, Buckinghamshire 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

Marlow, Buckinghamshire

Last updated: ... (Local time)

Major air pollutants in Marlow, Buckinghamshire

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

3.41 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

10.47 μg/m³

155

255

425

605+

Ozone (O₃)

29.00 ppb

201

201+

Sulfur Dioxide (SO₂)

0.72 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

4.36 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.11 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

Marlow, Buckinghamshire

Get Live Pollen Counts

Marlow, Buckinghamshire

Scroll To Air Quality Map

Track live Marlow, Buckinghamshire air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-05-12T13:00:00.000Z	27 \| good	4.605 \| good	18.882 \| good	26.69 \| good	0.783 \| good	5.031 \| good	0.12 \| good
2026-05-12T14:00:00.000Z	29 \| good	4.752 \| good	10.894 \| good	31.181 \| good	0.722 \| good	5.027 \| good	0.111 \| good
2026-05-12T15:00:00.000Z	34 \| good	4.294 \| good	11.535 \| good	36.847 \| good	0.518 \| good	5.003 \| good	0.113 \| good
2026-05-12T16:00:00.000Z	37 \| good	4.627 \| good	12.062 \| good	39.709 \| good	0.628 \| good	7.204 \| good	0.116 \| good
2026-05-12T17:00:00.000Z	37 \| good	4.819 \| good	12.521 \| good	40.033 \| good	0.628 \| good	8.302 \| good	0.661 \| good
2026-05-12T18:00:00.000Z	40 \| good	4.468 \| good	23.886 \| good	42.976 \| good	0.629 \| good	8.769 \| good	0.661 \| good
2026-05-12T19:00:00.000Z	40 \| good	4.739 \| good	28.618 \| good	43.004 \| good	0.521 \| good	3.478 \| good	0.163 \| good
2026-05-12T20:00:00.000Z	40 \| good	5.216 \| good	11.913 \| good	43.352 \| good	0.625 \| good	4.824 \| good	0.155 \| good
2026-05-12T21:00:00.000Z	39 \| good	4.44 \| good	26.091 \| good	42.348 \| good	0.618 \| good	7.391 \| good	0.153 \| good
2026-05-12T22:00:00.000Z	38 \| good	4.811 \| good	12.813 \| good	40.841 \| good	0.616 \| good	10.639 \| good	0.153 \| good
2026-05-12T23:00:00.000Z	36 \| good	4.795 \| good	12.584 \| good	39.417 \| good	0.575 \| good	11.289 \| good	0.661 \| good
2026-05-13T00:00:00.000Z	44 \| good	7.545 \| good	12.316 \| good	38.654 \| good	0.585 \| good	7.405 \| good	0.132 \| good
2026-05-13T01:00:00.000Z	44 \| good	7.544 \| good	12.779 \| good	37.026 \| good	0.501 \| good	6.077 \| good	0.661 \| good
2026-05-13T02:00:00.000Z	38 \| good	6.804 \| good	16.73 \| good	35.422 \| good	0.679 \| good	5.107 \| good	0.661 \| good
2026-05-13T03:00:00.000Z	31 \| good	4.435 \| good	19.641 \| good	34.491 \| good	0.763 \| good	2.583 \| good	0.661 \| good
2026-05-13T04:00:00.000Z	33 \| good	5.564 \| good	13.437 \| good	33.966 \| good	0.697 \| good	3.493 \| good	0.661 \| good
2026-05-13T05:00:00.000Z	29 \| good	5.122 \| good	12.255 \| good	31.026 \| good	0.801 \| good	2.87 \| good	0.661 \| good
2026-05-13T06:00:00.000Z	28 \| good	5.266 \| good	24.807 \| good	30.032 \| good	0.723 \| good	3.567 \| good	0.661 \| good
2026-05-13T07:00:00.000Z	28 \| good	4.613 \| good	12.308 \| good	29.718 \| good	0.843 \| good	4.627 \| good	0.144 \| good
2026-05-13T08:00:00.000Z	27 \| good	4.844 \| good	13.333 \| good	28.797 \| good	0.899 \| good	8.16 \| good	0.661 \| good
2026-05-13T09:00:00.000Z	28 \| good	4.905 \| good	14.05 \| good	29.733 \| good	0.942 \| good	7.252 \| good	0.661 \| good
2026-05-13T10:00:00.000Z	29 \| good	4.758 \| good	15.683 \| good	31.425 \| good	0.744 \| good	5.662 \| good	0.125 \| good
2026-05-13T11:00:00.000Z	29 \| good	4.891 \| good	14.169 \| good	31.413 \| good	0.783 \| good	3.935 \| good	0.122 \| good
2026-05-13T12:00:00.000Z	29 \| good	4.9 \| good	13.72 \| good	31.299 \| good	0.76 \| good	7.941 \| good	0.115 \| good
2026-05-13T13:00:00.000Z	28 \| good	4.868 \| good	13.646 \| good	30.325 \| good	0.859 \| good	7.867 \| good	0.117 \| good
2026-05-13T14:00:00.000Z	30 \| good	4.825 \| good	15.656 \| good	32.143 \| good	0.783 \| good	5.171 \| good	0.118 \| good
2026-05-13T15:00:00.000Z	31 \| good	4.878 \| good	15.14 \| good	33.378 \| good	0.783 \| good	5.272 \| good	0.113 \| good
2026-05-13T16:00:00.000Z	31 \| good	4.83 \| good	18.446 \| good	33.785 \| good	0.782 \| good	5.402 \| good	0.117 \| good
2026-05-13T17:00:00.000Z	31 \| good	4.864 \| good	14.914 \| good	33.708 \| good	0.78 \| good	7.201 \| good	0.122 \| good
2026-05-13T18:00:00.000Z	31 \| good	4.846 \| good	12.505 \| good	33.916 \| good	0.78 \| good	6.38 \| good	0.139 \| good
2026-05-13T19:00:00.000Z	31 \| good	4.524 \| good	12.265 \| good	32.953 \| good	0.637 \| good	7.385 \| good	0.197 \| good
2026-05-13T20:00:00.000Z	30 \| good	4.549 \| good	13.669 \| good	32.022 \| good	0.636 \| good	8.653 \| good	0.21 \| good
2026-05-13T21:00:00.000Z	31 \| good	4.395 \| good	13.723 \| good	33.202 \| good	0.629 \| good	5.592 \| good	0.2 \| good
2026-05-13T22:00:00.000Z	28 \| good	4.354 \| good	15.226 \| good	30.393 \| good	0.629 \| good	5.296 \| good	0.216 \| good
2026-05-13T23:00:00.000Z	27 \| good	4.389 \| good	11.469 \| good	29.002 \| good	0.886 \| good	6.213 \| good	0.224 \| good
2026-05-14T00:00:00.000Z	30 \| good	4.12 \| good	13.241 \| good	31.619 \| good	0.886 \| good	5.249 \| good	0.205 \| good
2026-05-14T01:00:00.000Z	30 \| good	4.119 \| good	10.851 \| good	31.769 \| good	0.699 \| good	5.823 \| good	0.167 \| good
2026-05-14T02:00:00.000Z	26 \| good	3.73 \| good	10.303 \| good	28.133 \| good	0.699 \| good	6.563 \| good	0.167 \| good
2026-05-14T03:00:00.000Z	22 \| good	3.81 \| good	9.912 \| good	24.285 \| good	0.636 \| good	3.877 \| good	0.149 \| good
2026-05-14T04:00:00.000Z	23 \| good	3.83 \| good	8.586 \| good	24.972 \| good	0.635 \| good	2.03 \| good	0.158 \| good
2026-05-14T05:00:00.000Z	23 \| good	3.583 \| good	9.07 \| good	24.507 \| good	0.636 \| good	3.405 \| good	0.172 \| good
2026-05-14T06:00:00.000Z	26 \| good	3.357 \| good	6.724 \| good	28.22 \| good	0.76 \| good	4.089 \| good	0.208 \| good
2026-05-14T07:00:00.000Z	22 \| good	3.557 \| good	11.567 \| good	23.986 \| good	0.7 \| good	6.077 \| good	0.177 \| good
2026-05-14T08:00:00.000Z	21 \| good	2.819 \| good	11.417 \| good	22.818 \| good	0.701 \| good	10.295 \| good	0.157 \| good
2026-05-14T09:00:00.000Z	23 \| good	2.782 \| good	8.896 \| good	25.36 \| good	0.783 \| good	7.817 \| good	0.13 \| good
2026-05-14T10:00:00.000Z	24 \| good	2.444 \| good	6.996 \| good	25.764 \| good	0.701 \| good	6.479 \| good	0.118 \| good
2026-05-14T11:00:00.000Z	26 \| good	2.559 \| good	6.534 \| good	27.759 \| good	0.724 \| good	4.844 \| good	0.118 \| good
2026-05-14T12:00:00.000Z	27 \| good	3.412 \| good	10.471 \| good	29.004 \| good	0.724 \| good	4.358 \| good	0.108 \| good
2026-05-14T12:00:00.000Z	27 \| good	3.412 \| good	10.471 \| good	29.004 \| good	0.724 \| good	4.358 \| good	0.108 \| good
2026-05-14T13:00:00.000Z	37 \| good	4.225 \| good	6.596 \| good	40.341 \| good	0.115 \| good	2.183 \| good	0.116 \| good
2026-05-14T14:00:00.000Z	38 \| good	4.318 \| good	6.501 \| good	41.211 \| good	0.111 \| good	2.31 \| good	0.117 \| good
2026-05-14T15:00:00.000Z	38 \| good	4.146 \| good	6.683 \| good	40.768 \| good	0.117 \| good	2.729 \| good	0.118 \| good
2026-05-14T16:00:00.000Z	39 \| good	4.328 \| good	6.889 \| good	42.032 \| good	0.12 \| good	3.185 \| good	0.12 \| good
2026-05-14T17:00:00.000Z	38 \| good	4.846 \| good	7.145 \| good	41.455 \| good	0.122 \| good	3.907 \| good	0.123 \| good
2026-05-14T18:00:00.000Z	37 \| good	5.456 \| good	7.65 \| good	39.523 \| good	0.136 \| good	4.481 \| good	0.125 \| good
2026-05-14T19:00:00.000Z	38 \| good	6.623 \| good	8.715 \| good	31.465 \| good	0.221 \| good	5.357 \| good	0.127 \| good
2026-05-14T20:00:00.000Z	38 \| good	6.948 \| good	8.807 \| good	31.719 \| good	0.254 \| good	6.579 \| good	0.131 \| good
2026-05-14T21:00:00.000Z	38 \| good	6.887 \| good	8.431 \| good	25.819 \| good	0.282 \| good	7.138 \| good	0.136 \| good
2026-05-14T22:00:00.000Z	38 \| good	7.276 \| good	8.783 \| good	26.316 \| good	0.271 \| good	7.496 \| good	0.138 \| good
2026-05-14T23:00:00.000Z	38 \| good	7.223 \| good	8.858 \| good	27.599 \| good	0.217 \| good	7.43 \| good	0.135 \| good
2026-05-15T00:00:00.000Z	38 \| good	7.444 \| good	9.346 \| good	28.16 \| good	0.233 \| good	6.79 \| good	0.131 \| good
2026-05-15T01:00:00.000Z	38 \| good	6.913 \| good	8.945 \| good	28.139 \| good	0.202 \| good	5.627 \| good	0.128 \| good
2026-05-15T02:00:00.000Z	44 \| good	7.702 \| good	9.681 \| good	27.49 \| good	0.196 \| good	4.989 \| good	0.128 \| good
2026-05-15T03:00:00.000Z	49 \| good	8.554 \| good	10.737 \| good	26.369 \| good	0.219 \| good	4.565 \| good	0.129 \| good
2026-05-15T04:00:00.000Z	49 \| good	9.305 \| good	11.687 \| good	25.332 \| good	0.262 \| good	4.392 \| good	0.129 \| good
2026-05-15T05:00:00.000Z	44 \| good	8.333 \| good	11.28 \| good	25.181 \| good	0.249 \| good	3.937 \| good	0.126 \| good
2026-05-15T06:00:00.000Z	38 \| good	7.237 \| good	12.051 \| good	24.325 \| good	0.249 \| good	4.2 \| good	0.122 \| good
2026-05-15T07:00:00.000Z	33 \| good	6.417 \| good	10.339 \| good	30.203 \| good	0.257 \| good	4.003 \| good	0.122 \| good
2026-05-15T08:00:00.000Z	32 \| good	4.182 \| good	8.469 \| good	35.194 \| good	0.193 \| good	3.393 \| good	0.12 \| good
2026-05-15T09:00:00.000Z	33 \| good	3.575 \| good	7.317 \| good	36.158 \| good	0.16 \| good	2.837 \| good	0.118 \| good
2026-05-15T10:00:00.000Z	35 \| good	3.777 \| good	7.392 \| good	37.863 \| good	0.143 \| good	2.235 \| good	0.118 \| good
2026-05-15T11:00:00.000Z	36 \| good	3.898 \| good	7.635 \| good	38.862 \| good	0.136 \| good	2.033 \| good	0.118 \| good
2026-05-15T12:00:00.000Z	39 \| good	3.537 \| good	7.815 \| good	41.668 \| good	0.134 \| good	1.871 \| good	0.117 \| good
2026-05-15T13:00:00.000Z	42 \| good	3.176 \| good	7.366 \| good	45.486 \| good	0.152 \| good	1.508 \| good	0.115 \| good
2026-05-15T14:00:00.000Z	44 \| good	2.955 \| good	5.98 \| good	46.97 \| good	0.15 \| good	1.417 \| good	0.115 \| good
2026-05-15T15:00:00.000Z	45 \| good	3.041 \| good	5.425 \| good	49.101 \| good	0.139 \| good	1.527 \| good	0.115 \| good
2026-05-15T16:00:00.000Z	45 \| good	3.363 \| good	6.444 \| good	49.324 \| good	0.128 \| good	1.84 \| good	0.115 \| good
2026-05-15T17:00:00.000Z	44 \| good	3.729 \| good	6.92 \| good	48.455 \| good	0.135 \| good	2.537 \| good	0.116 \| good
2026-05-15T18:00:00.000Z	45 \| good	4.132 \| good	7.438 \| good	48.957 \| good	0.16 \| good	3.121 \| good	0.118 \| good
2026-05-15T19:00:00.000Z	43 \| good	4.713 \| good	8.168 \| good	45.522 \| good	0.239 \| good	4.391 \| good	0.121 \| good
2026-05-15T20:00:00.000Z	37 \| good	5.879 \| good	9.406 \| good	40.383 \| good	0.318 \| good	5.879 \| good	0.127 \| good
2026-05-15T21:00:00.000Z	38 \| good	6.549 \| good	10.251 \| good	35.154 \| good	0.331 \| good	6.468 \| good	0.13 \| good
2026-05-15T22:00:00.000Z	38 \| good	7.214 \| good	10.454 \| good	30.006 \| good	0.321 \| good	7.244 \| good	0.135 \| good
2026-05-15T23:00:00.000Z	44 \| good	7.947 \| good	10.914 \| good	25.814 \| good	0.328 \| good	8.222 \| good	0.137 \| good
2026-05-16T00:00:00.000Z	49 \| good	9.023 \| good	11.498 \| good	22.184 \| good	0.372 \| good	9.765 \| good	0.141 \| good
2026-05-16T01:00:00.000Z	52 \| moderate	9.992 \| good	11.949 \| good	21.165 \| good	0.331 \| good	11.546 \| good	0.147 \| good
2026-05-16T02:00:00.000Z	52 \| moderate	10.332 \| good	12.257 \| good	20.816 \| good	0.319 \| good	11.937 \| good	0.15 \| good
2026-05-16T03:00:00.000Z	54 \| moderate	10.749 \| good	12.953 \| good	18.851 \| good	0.279 \| good	12.291 \| good	0.154 \| good
2026-05-16T04:00:00.000Z	54 \| moderate	11.32 \| good	13.619 \| good	16.872 \| good	0.259 \| good	13.346 \| good	0.154 \| good
2026-05-16T05:00:00.000Z	54 \| moderate	11.025 \| good	13.538 \| good	20.444 \| good	0.273 \| good	8.209 \| good	0.144 \| good
2026-05-16T06:00:00.000Z	52 \| moderate	10.383 \| good	13.426 \| good	26.02 \| good	0.262 \| good	5.878 \| good	0.136 \| good
2026-05-16T07:00:00.000Z	38 \| good	6.836 \| good	10.772 \| good	34.977 \| good	0.247 \| good	2.776 \| good	0.121 \| good
2026-05-16T08:00:00.000Z	36 \| good	4.145 \| good	7.908 \| good	38.706 \| good	0.189 \| good	1.945 \| good	0.116 \| good
2026-05-16T09:00:00.000Z	36 \| good	3.474 \| good	6.208 \| good	39.337 \| good	0.112 \| good	1.633 \| good	0.113 \| good
2026-05-16T10:00:00.000Z	40 \| good	3.206 \| good	6.134 \| good	43.273 \| good	0.103 \| good	1.374 \| good	0.111 \| good
2026-05-16T11:00:00.000Z	41 \| good	3.114 \| good	6.549 \| good	43.76 \| good	0.097 \| good	1.258 \| good	0.11 \| good
2026-05-16T12:00:00.000Z	41 \| good	3.133 \| good	6.696 \| good	44.05 \| good	0.089 \| good	1.389 \| good	0.111 \| good

Marlow

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Marlow, Buckinghamshire air quality map: Track AQI near you

0.12ppm

How accurate is Buckinghamshire, UK air quality data?

Air quality data and pollutant measurements for Buckinghamshire, UK adhere to strict US EPA standards. The data is collected from multiple reliable sources, including satellites and ground-based monitoring stations. This data is further analyzed and enhanced using machine learning and advanced algorithms that factor in elements such as traffic and population density, ensuring accurate and reliable results.

Source: Ambee Data Sources

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Frequently asked questions

How often is the air quality data for Marlow, Buckinghamshire updated?

The air quality for Marlow, Buckinghamshire is updated every hour.

When was the worst air quality at Marlow, Buckinghamshire in the last 24 hrs?

The worst air quality in Marlow, Buckinghamshire in the last 24 hours was observed at 09:00:00 on 2026-05-13.

When was the best air quality at Marlow, Buckinghamshire in the last 24 hrs?

In the last 24 hrs, the best air quality in Marlow, Buckinghamshire was observed at 08:00:00 on 2026-05-14.

What is the current air quality in Marlow, Buckinghamshire?

The current air quality in Marlow, Buckinghamshire is 27, categorized as Good based on real-time data.

What pollutant is the most common in Marlow, Buckinghamshire?

The most common pollutant in Marlow, Buckinghamshire is O3.

What should I do if the air quality in Marlow, Buckinghamshire is poor?

If the air quality in Marlow, Buckinghamshire is poor, consider staying indoors and wearing a mask to protect yourself.

What is the current concentration of PM_2.5 in Marlow, Buckinghamshire?

The current PM_2.5 concentration at Marlow, Buckinghamshire is 3.412 μg/m³.

What is the current concentration of PM₁₀ in Marlow, Buckinghamshire?

The current PM₁₀ concentration at Marlow, Buckinghamshire is 10.471 μg/m³.

What is the current concentration of carbon monoxide (CO) in Marlow, Buckinghamshire?

The current carbon monoxide (CO) concentration at Marlow, Buckinghamshire is 0.108 ppm.

What is the current concentration of sulfur dioxide (SO₂) in Marlow, Buckinghamshire?

The current sulfur dioxide (SO₂) concentration at Marlow, Buckinghamshire is 0.724 ppb.

What is the current concentration of ozone (O₃) in Marlow, Buckinghamshire?

The current ozone (O₃) concentration at Marlow, Buckinghamshire is 29.004 ppm.

What is the current concentration of nitrogen dioxide (NO₂) in Marlow, Buckinghamshire?

The current nitrogen dioxide (NO₂) concentration at Marlow, Buckinghamshire is 4.358 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-05-12T13:00:00.000Z	27 \| good	4.605 \| good	18.882 \| good	26.69 \| good	0.783 \| good	5.031 \| good	0.12 \| good
2026-05-12T14:00:00.000Z	29 \| good	4.752 \| good	10.894 \| good	31.181 \| good	0.722 \| good	5.027 \| good	0.111 \| good
2026-05-12T15:00:00.000Z	34 \| good	4.294 \| good	11.535 \| good	36.847 \| good	0.518 \| good	5.003 \| good	0.113 \| good
2026-05-12T16:00:00.000Z	37 \| good	4.627 \| good	12.062 \| good	39.709 \| good	0.628 \| good	7.204 \| good	0.116 \| good
2026-05-12T17:00:00.000Z	37 \| good	4.819 \| good	12.521 \| good	40.033 \| good	0.628 \| good	8.302 \| good	0.661 \| good
2026-05-12T18:00:00.000Z	40 \| good	4.468 \| good	23.886 \| good	42.976 \| good	0.629 \| good	8.769 \| good	0.661 \| good
2026-05-12T19:00:00.000Z	40 \| good	4.739 \| good	28.618 \| good	43.004 \| good	0.521 \| good	3.478 \| good	0.163 \| good
2026-05-12T20:00:00.000Z	40 \| good	5.216 \| good	11.913 \| good	43.352 \| good	0.625 \| good	4.824 \| good	0.155 \| good
2026-05-12T21:00:00.000Z	39 \| good	4.44 \| good	26.091 \| good	42.348 \| good	0.618 \| good	7.391 \| good	0.153 \| good
2026-05-12T22:00:00.000Z	38 \| good	4.811 \| good	12.813 \| good	40.841 \| good	0.616 \| good	10.639 \| good	0.153 \| good
2026-05-12T23:00:00.000Z	36 \| good	4.795 \| good	12.584 \| good	39.417 \| good	0.575 \| good	11.289 \| good	0.661 \| good
2026-05-13T00:00:00.000Z	44 \| good	7.545 \| good	12.316 \| good	38.654 \| good	0.585 \| good	7.405 \| good	0.132 \| good
2026-05-13T01:00:00.000Z	44 \| good	7.544 \| good	12.779 \| good	37.026 \| good	0.501 \| good	6.077 \| good	0.661 \| good
2026-05-13T02:00:00.000Z	38 \| good	6.804 \| good	16.73 \| good	35.422 \| good	0.679 \| good	5.107 \| good	0.661 \| good
2026-05-13T03:00:00.000Z	31 \| good	4.435 \| good	19.641 \| good	34.491 \| good	0.763 \| good	2.583 \| good	0.661 \| good
2026-05-13T04:00:00.000Z	33 \| good	5.564 \| good	13.437 \| good	33.966 \| good	0.697 \| good	3.493 \| good	0.661 \| good
2026-05-13T05:00:00.000Z	29 \| good	5.122 \| good	12.255 \| good	31.026 \| good	0.801 \| good	2.87 \| good	0.661 \| good
2026-05-13T06:00:00.000Z	28 \| good	5.266 \| good	24.807 \| good	30.032 \| good	0.723 \| good	3.567 \| good	0.661 \| good
2026-05-13T07:00:00.000Z	28 \| good	4.613 \| good	12.308 \| good	29.718 \| good	0.843 \| good	4.627 \| good	0.144 \| good
2026-05-13T08:00:00.000Z	27 \| good	4.844 \| good	13.333 \| good	28.797 \| good	0.899 \| good	8.16 \| good	0.661 \| good
2026-05-13T09:00:00.000Z	28 \| good	4.905 \| good	14.05 \| good	29.733 \| good	0.942 \| good	7.252 \| good	0.661 \| good
2026-05-13T10:00:00.000Z	29 \| good	4.758 \| good	15.683 \| good	31.425 \| good	0.744 \| good	5.662 \| good	0.125 \| good
2026-05-13T11:00:00.000Z	29 \| good	4.891 \| good	14.169 \| good	31.413 \| good	0.783 \| good	3.935 \| good	0.122 \| good
2026-05-13T12:00:00.000Z	29 \| good	4.9 \| good	13.72 \| good	31.299 \| good	0.76 \| good	7.941 \| good	0.115 \| good
2026-05-13T13:00:00.000Z	28 \| good	4.868 \| good	13.646 \| good	30.325 \| good	0.859 \| good	7.867 \| good	0.117 \| good
2026-05-13T14:00:00.000Z	30 \| good	4.825 \| good	15.656 \| good	32.143 \| good	0.783 \| good	5.171 \| good	0.118 \| good
2026-05-13T15:00:00.000Z	31 \| good	4.878 \| good	15.14 \| good	33.378 \| good	0.783 \| good	5.272 \| good	0.113 \| good
2026-05-13T16:00:00.000Z	31 \| good	4.83 \| good	18.446 \| good	33.785 \| good	0.782 \| good	5.402 \| good	0.117 \| good
2026-05-13T17:00:00.000Z	31 \| good	4.864 \| good	14.914 \| good	33.708 \| good	0.78 \| good	7.201 \| good	0.122 \| good
2026-05-13T18:00:00.000Z	31 \| good	4.846 \| good	12.505 \| good	33.916 \| good	0.78 \| good	6.38 \| good	0.139 \| good
2026-05-13T19:00:00.000Z	31 \| good	4.524 \| good	12.265 \| good	32.953 \| good	0.637 \| good	7.385 \| good	0.197 \| good
2026-05-13T20:00:00.000Z	30 \| good	4.549 \| good	13.669 \| good	32.022 \| good	0.636 \| good	8.653 \| good	0.21 \| good
2026-05-13T21:00:00.000Z	31 \| good	4.395 \| good	13.723 \| good	33.202 \| good	0.629 \| good	5.592 \| good	0.2 \| good
2026-05-13T22:00:00.000Z	28 \| good	4.354 \| good	15.226 \| good	30.393 \| good	0.629 \| good	5.296 \| good	0.216 \| good
2026-05-13T23:00:00.000Z	27 \| good	4.389 \| good	11.469 \| good	29.002 \| good	0.886 \| good	6.213 \| good	0.224 \| good
2026-05-14T00:00:00.000Z	30 \| good	4.12 \| good	13.241 \| good	31.619 \| good	0.886 \| good	5.249 \| good	0.205 \| good
2026-05-14T01:00:00.000Z	30 \| good	4.119 \| good	10.851 \| good	31.769 \| good	0.699 \| good	5.823 \| good	0.167 \| good
2026-05-14T02:00:00.000Z	26 \| good	3.73 \| good	10.303 \| good	28.133 \| good	0.699 \| good	6.563 \| good	0.167 \| good
2026-05-14T03:00:00.000Z	22 \| good	3.81 \| good	9.912 \| good	24.285 \| good	0.636 \| good	3.877 \| good	0.149 \| good
2026-05-14T04:00:00.000Z	23 \| good	3.83 \| good	8.586 \| good	24.972 \| good	0.635 \| good	2.03 \| good	0.158 \| good
2026-05-14T05:00:00.000Z	23 \| good	3.583 \| good	9.07 \| good	24.507 \| good	0.636 \| good	3.405 \| good	0.172 \| good
2026-05-14T06:00:00.000Z	26 \| good	3.357 \| good	6.724 \| good	28.22 \| good	0.76 \| good	4.089 \| good	0.208 \| good
2026-05-14T07:00:00.000Z	22 \| good	3.557 \| good	11.567 \| good	23.986 \| good	0.7 \| good	6.077 \| good	0.177 \| good
2026-05-14T08:00:00.000Z	21 \| good	2.819 \| good	11.417 \| good	22.818 \| good	0.701 \| good	10.295 \| good	0.157 \| good
2026-05-14T09:00:00.000Z	23 \| good	2.782 \| good	8.896 \| good	25.36 \| good	0.783 \| good	7.817 \| good	0.13 \| good
2026-05-14T10:00:00.000Z	24 \| good	2.444 \| good	6.996 \| good	25.764 \| good	0.701 \| good	6.479 \| good	0.118 \| good
2026-05-14T11:00:00.000Z	26 \| good	2.559 \| good	6.534 \| good	27.759 \| good	0.724 \| good	4.844 \| good	0.118 \| good
2026-05-14T12:00:00.000Z	27 \| good	3.412 \| good	10.471 \| good	29.004 \| good	0.724 \| good	4.358 \| good	0.108 \| good
2026-05-14T12:00:00.000Z	27 \| good	3.412 \| good	10.471 \| good	29.004 \| good	0.724 \| good	4.358 \| good	0.108 \| good
2026-05-14T13:00:00.000Z	37 \| good	4.225 \| good	6.596 \| good	40.341 \| good	0.115 \| good	2.183 \| good	0.116 \| good
2026-05-14T14:00:00.000Z	38 \| good	4.318 \| good	6.501 \| good	41.211 \| good	0.111 \| good	2.31 \| good	0.117 \| good
2026-05-14T15:00:00.000Z	38 \| good	4.146 \| good	6.683 \| good	40.768 \| good	0.117 \| good	2.729 \| good	0.118 \| good
2026-05-14T16:00:00.000Z	39 \| good	4.328 \| good	6.889 \| good	42.032 \| good	0.12 \| good	3.185 \| good	0.12 \| good
2026-05-14T17:00:00.000Z	38 \| good	4.846 \| good	7.145 \| good	41.455 \| good	0.122 \| good	3.907 \| good	0.123 \| good
2026-05-14T18:00:00.000Z	37 \| good	5.456 \| good	7.65 \| good	39.523 \| good	0.136 \| good	4.481 \| good	0.125 \| good
2026-05-14T19:00:00.000Z	38 \| good	6.623 \| good	8.715 \| good	31.465 \| good	0.221 \| good	5.357 \| good	0.127 \| good
2026-05-14T20:00:00.000Z	38 \| good	6.948 \| good	8.807 \| good	31.719 \| good	0.254 \| good	6.579 \| good	0.131 \| good
2026-05-14T21:00:00.000Z	38 \| good	6.887 \| good	8.431 \| good	25.819 \| good	0.282 \| good	7.138 \| good	0.136 \| good
2026-05-14T22:00:00.000Z	38 \| good	7.276 \| good	8.783 \| good	26.316 \| good	0.271 \| good	7.496 \| good	0.138 \| good
2026-05-14T23:00:00.000Z	38 \| good	7.223 \| good	8.858 \| good	27.599 \| good	0.217 \| good	7.43 \| good	0.135 \| good
2026-05-15T00:00:00.000Z	38 \| good	7.444 \| good	9.346 \| good	28.16 \| good	0.233 \| good	6.79 \| good	0.131 \| good
2026-05-15T01:00:00.000Z	38 \| good	6.913 \| good	8.945 \| good	28.139 \| good	0.202 \| good	5.627 \| good	0.128 \| good
2026-05-15T02:00:00.000Z	44 \| good	7.702 \| good	9.681 \| good	27.49 \| good	0.196 \| good	4.989 \| good	0.128 \| good
2026-05-15T03:00:00.000Z	49 \| good	8.554 \| good	10.737 \| good	26.369 \| good	0.219 \| good	4.565 \| good	0.129 \| good
2026-05-15T04:00:00.000Z	49 \| good	9.305 \| good	11.687 \| good	25.332 \| good	0.262 \| good	4.392 \| good	0.129 \| good
2026-05-15T05:00:00.000Z	44 \| good	8.333 \| good	11.28 \| good	25.181 \| good	0.249 \| good	3.937 \| good	0.126 \| good
2026-05-15T06:00:00.000Z	38 \| good	7.237 \| good	12.051 \| good	24.325 \| good	0.249 \| good	4.2 \| good	0.122 \| good
2026-05-15T07:00:00.000Z	33 \| good	6.417 \| good	10.339 \| good	30.203 \| good	0.257 \| good	4.003 \| good	0.122 \| good
2026-05-15T08:00:00.000Z	32 \| good	4.182 \| good	8.469 \| good	35.194 \| good	0.193 \| good	3.393 \| good	0.12 \| good
2026-05-15T09:00:00.000Z	33 \| good	3.575 \| good	7.317 \| good	36.158 \| good	0.16 \| good	2.837 \| good	0.118 \| good
2026-05-15T10:00:00.000Z	35 \| good	3.777 \| good	7.392 \| good	37.863 \| good	0.143 \| good	2.235 \| good	0.118 \| good
2026-05-15T11:00:00.000Z	36 \| good	3.898 \| good	7.635 \| good	38.862 \| good	0.136 \| good	2.033 \| good	0.118 \| good
2026-05-15T12:00:00.000Z	39 \| good	3.537 \| good	7.815 \| good	41.668 \| good	0.134 \| good	1.871 \| good	0.117 \| good
2026-05-15T13:00:00.000Z	42 \| good	3.176 \| good	7.366 \| good	45.486 \| good	0.152 \| good	1.508 \| good	0.115 \| good
2026-05-15T14:00:00.000Z	44 \| good	2.955 \| good	5.98 \| good	46.97 \| good	0.15 \| good	1.417 \| good	0.115 \| good
2026-05-15T15:00:00.000Z	45 \| good	3.041 \| good	5.425 \| good	49.101 \| good	0.139 \| good	1.527 \| good	0.115 \| good
2026-05-15T16:00:00.000Z	45 \| good	3.363 \| good	6.444 \| good	49.324 \| good	0.128 \| good	1.84 \| good	0.115 \| good
2026-05-15T17:00:00.000Z	44 \| good	3.729 \| good	6.92 \| good	48.455 \| good	0.135 \| good	2.537 \| good	0.116 \| good
2026-05-15T18:00:00.000Z	45 \| good	4.132 \| good	7.438 \| good	48.957 \| good	0.16 \| good	3.121 \| good	0.118 \| good
2026-05-15T19:00:00.000Z	43 \| good	4.713 \| good	8.168 \| good	45.522 \| good	0.239 \| good	4.391 \| good	0.121 \| good
2026-05-15T20:00:00.000Z	37 \| good	5.879 \| good	9.406 \| good	40.383 \| good	0.318 \| good	5.879 \| good	0.127 \| good
2026-05-15T21:00:00.000Z	38 \| good	6.549 \| good	10.251 \| good	35.154 \| good	0.331 \| good	6.468 \| good	0.13 \| good
2026-05-15T22:00:00.000Z	38 \| good	7.214 \| good	10.454 \| good	30.006 \| good	0.321 \| good	7.244 \| good	0.135 \| good
2026-05-15T23:00:00.000Z	44 \| good	7.947 \| good	10.914 \| good	25.814 \| good	0.328 \| good	8.222 \| good	0.137 \| good
2026-05-16T00:00:00.000Z	49 \| good	9.023 \| good	11.498 \| good	22.184 \| good	0.372 \| good	9.765 \| good	0.141 \| good
2026-05-16T01:00:00.000Z	52 \| moderate	9.992 \| good	11.949 \| good	21.165 \| good	0.331 \| good	11.546 \| good	0.147 \| good
2026-05-16T02:00:00.000Z	52 \| moderate	10.332 \| good	12.257 \| good	20.816 \| good	0.319 \| good	11.937 \| good	0.15 \| good
2026-05-16T03:00:00.000Z	54 \| moderate	10.749 \| good	12.953 \| good	18.851 \| good	0.279 \| good	12.291 \| good	0.154 \| good
2026-05-16T04:00:00.000Z	54 \| moderate	11.32 \| good	13.619 \| good	16.872 \| good	0.259 \| good	13.346 \| good	0.154 \| good
2026-05-16T05:00:00.000Z	54 \| moderate	11.025 \| good	13.538 \| good	20.444 \| good	0.273 \| good	8.209 \| good	0.144 \| good
2026-05-16T06:00:00.000Z	52 \| moderate	10.383 \| good	13.426 \| good	26.02 \| good	0.262 \| good	5.878 \| good	0.136 \| good
2026-05-16T07:00:00.000Z	38 \| good	6.836 \| good	10.772 \| good	34.977 \| good	0.247 \| good	2.776 \| good	0.121 \| good
2026-05-16T08:00:00.000Z	36 \| good	4.145 \| good	7.908 \| good	38.706 \| good	0.189 \| good	1.945 \| good	0.116 \| good
2026-05-16T09:00:00.000Z	36 \| good	3.474 \| good	6.208 \| good	39.337 \| good	0.112 \| good	1.633 \| good	0.113 \| good
2026-05-16T10:00:00.000Z	40 \| good	3.206 \| good	6.134 \| good	43.273 \| good	0.103 \| good	1.374 \| good	0.111 \| good
2026-05-16T11:00:00.000Z	41 \| good	3.114 \| good	6.549 \| good	43.76 \| good	0.097 \| good	1.258 \| good	0.11 \| good
2026-05-16T12:00:00.000Z	41 \| good	3.133 \| good	6.696 \| good	44.05 \| good	0.089 \| good	1.389 \| good	0.111 \| good

Marlow, Buckinghamshire live air quality index now

Major air pollutants in Marlow, Buckinghamshire

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

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Marlow, Buckinghamshire air quality map: Track AQI near you

Air quality in nearby cities

Flackwell Heath, Buckinghamshire

Maidenhead, Windsor and Maidenhead

High Wycombe, Buckinghamshire

HenleyonThames, Oxfordshire

Beaconsfield, Buckinghamshire

Hazlemere, Buckinghamshire

How accurate is Buckinghamshire, UK air quality data?

Air quality levels in UK

Frequently asked questions

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What is the current concentration of PM2.5 in Marlow, Buckinghamshire?

What is the current concentration of PM10 in Marlow, Buckinghamshire?

What is the current concentration of carbon monoxide (CO) in Marlow, Buckinghamshire?

What is the current concentration of sulfur dioxide (SO2) in Marlow, Buckinghamshire?

What is the current concentration of ozone (O3) in Marlow, Buckinghamshire?

What is the current concentration of nitrogen dioxide (NO2) in Marlow, Buckinghamshire?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What is the current concentration of PM_2.5 in Marlow, Buckinghamshire?

What is the current concentration of PM₁₀ in Marlow, Buckinghamshire?

What is the current concentration of sulfur dioxide (SO₂) in Marlow, Buckinghamshire?

What is the current concentration of ozone (O₃) in Marlow, Buckinghamshire?

What is the current concentration of nitrogen dioxide (NO₂) in Marlow, Buckinghamshire?