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

The current PM10 concentration at Marlow, Buckinghamshire is 13.789 μg/m3.

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

The current sulfur dioxide (SO2) concentration at Marlow, Buckinghamshire is 0.87 ppb.

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

The current ozone (O3) concentration at Marlow, Buckinghamshire is 38.048 ppm.

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

The current nitrogen dioxide (NO2) concentration at Marlow, Buckinghamshire is 5.544 ppb.

Live air quality index in Marlow, Buckinghamshire today

Name: Live air pollution levels in Marlow, Buckinghamshire today
Creator: Ambee

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)

4.67 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

13.79 μg/m³

155

255

425

605+

Ozone (O₃)

38.05 ppb

201

201+

Sulfur Dioxide (SO₂)

0.87 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

5.54 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.02 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

High

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
2025-06-02T17:00:00.000Z	33 \| good	4.091 \| good	10.175 \| good	36.128 \| good	0.895 \| good	4.132 \| good	0.016 \| good
2025-06-02T18:00:00.000Z	35 \| good	4.005 \| good	17.263 \| good	37.537 \| good	0.736 \| good	5.524 \| good	0.016 \| good
2025-06-02T19:00:00.000Z	33 \| good	4.144 \| good	16.501 \| good	36.444 \| good	0.813 \| good	4.254 \| good	0.018 \| good
2025-06-02T20:00:00.000Z	37 \| good	4.208 \| good	11.721 \| good	39.732 \| good	0.817 \| good	4.045 \| good	0.02 \| good
2025-06-02T21:00:00.000Z	35 \| good	4.287 \| good	11.622 \| good	37.864 \| good	0.821 \| good	4.007 \| good	0.023 \| good
2025-06-02T22:00:00.000Z	36 \| good	4.229 \| good	11.815 \| good	38.784 \| good	0.854 \| good	4.074 \| good	0.023 \| good
2025-06-02T23:00:00.000Z	36 \| good	4.333 \| good	10.636 \| good	38.843 \| good	1.006 \| good	2.44 \| good	0.032 \| good
2025-06-03T00:00:00.000Z	35 \| good	5.668 \| good	10.379 \| good	38.263 \| good	0.852 \| good	3.35 \| good	0.34 \| good
2025-06-03T01:00:00.000Z	34 \| good	5 \| good	14.195 \| good	36.892 \| good	0.754 \| good	3.302 \| good	0.316 \| good
2025-06-03T02:00:00.000Z	33 \| good	5.613 \| good	13.156 \| good	32.989 \| good	0.762 \| good	3.798 \| good	0.295 \| good
2025-06-03T03:00:00.000Z	32 \| good	4.67 \| good	11.481 \| good	34.837 \| good	0.84 \| good	3.653 \| good	0.294 \| good
2025-06-03T04:00:00.000Z	38 \| good	6.727 \| good	13.965 \| good	31.575 \| good	0.766 \| good	4.26 \| good	0.332 \| good
2025-06-03T05:00:00.000Z	28 \| good	4.852 \| good	12.775 \| good	30.467 \| good	1.005 \| good	3.164 \| good	0.267 \| good
2025-06-03T06:00:00.000Z	28 \| good	4.91 \| good	16.081 \| good	30.165 \| good	0.995 \| good	3.568 \| good	0.341 \| good
2025-06-03T07:00:00.000Z	29 \| good	5.155 \| good	13.77 \| good	30.59 \| good	0.997 \| good	6.058 \| good	0.255 \| good
2025-06-03T08:00:00.000Z	29 \| good	5.077 \| good	12.215 \| good	30.735 \| good	1.003 \| good	4.909 \| good	0.198 \| good
2025-06-03T09:00:00.000Z	28 \| good	5.073 \| good	15.385 \| good	30.18 \| good	1.066 \| good	6.778 \| good	0.16 \| good
2025-06-03T10:00:00.000Z	29 \| good	4.96 \| good	12.542 \| good	31.219 \| good	1.063 \| good	5.821 \| good	0.156 \| good
2025-06-03T11:00:00.000Z	28 \| good	5.349 \| good	15.562 \| good	29.554 \| good	0.996 \| good	4.888 \| good	0.139 \| good
2025-06-03T12:00:00.000Z	31 \| good	4.753 \| good	13.191 \| good	33.312 \| good	1 \| good	3.633 \| good	0.153 \| good
2025-06-03T13:00:00.000Z	29 \| good	5.282 \| good	10.867 \| good	30.701 \| good	1.073 \| good	3.481 \| good	0.146 \| good
2025-06-03T14:00:00.000Z	28 \| good	5.354 \| good	12.263 \| good	30.334 \| good	0.995 \| good	4.182 \| good	0.151 \| good
2025-06-03T15:00:00.000Z	28 \| good	5.093 \| good	10.679 \| good	29.538 \| good	0.915 \| good	4.856 \| good	0.144 \| good
2025-06-03T16:00:00.000Z	33 \| good	5.502 \| good	13.404 \| good	28.856 \| good	0.992 \| good	5.52 \| good	0.155 \| good
2025-06-03T17:00:00.000Z	28 \| good	4.842 \| good	14.829 \| good	29.606 \| good	1.14 \| good	3.984 \| good	0.165 \| good
2025-06-03T18:00:00.000Z	29 \| good	4.842 \| good	18.507 \| good	31.191 \| good	1.223 \| good	7.691 \| good	0.17 \| good
2025-06-03T19:00:00.000Z	28 \| good	4.653 \| good	15.002 \| good	29.543 \| good	1.069 \| good	7.453 \| good	0.189 \| good
2025-06-03T20:00:00.000Z	31 \| good	4.99 \| good	18.018 \| good	32.855 \| good	1.069 \| good	7.078 \| good	0.198 \| good
2025-06-03T21:00:00.000Z	27 \| good	5.044 \| good	11.447 \| good	27.869 \| good	1.051 \| good	6.261 \| good	0.255 \| good
2025-06-03T22:00:00.000Z	30 \| good	4.968 \| good	12.387 \| good	32.456 \| good	1.084 \| good	7.919 \| good	0.29 \| good
2025-06-03T23:00:00.000Z	28 \| good	4.912 \| good	12.545 \| good	29.914 \| good	1.109 \| good	7.498 \| good	0.336 \| good
2025-06-04T00:00:00.000Z	29 \| good	5.296 \| good	12.316 \| good	31.088 \| good	0.886 \| good	4.155 \| good	0.29 \| good
2025-06-04T01:00:00.000Z	29 \| good	4.599 \| good	11.991 \| good	30.761 \| good	0.891 \| good	4.109 \| good	0.34 \| good
2025-06-04T02:00:00.000Z	33 \| good	5.604 \| good	13.562 \| good	27.679 \| good	0.833 \| good	2.798 \| good	0.347 \| good
2025-06-04T03:00:00.000Z	25 \| good	3.857 \| good	13.267 \| good	27.027 \| good	0.924 \| good	3.049 \| good	0.299 \| good
2025-06-04T04:00:00.000Z	27 \| good	4.879 \| good	13.611 \| good	25.884 \| good	0.949 \| good	2.367 \| good	0.276 \| good
2025-06-04T05:00:00.000Z	27 \| good	4.677 \| good	12.885 \| good	25.123 \| good	0.861 \| good	2.671 \| good	0.035 \| good
2025-06-04T06:00:00.000Z	22 \| good	4.156 \| good	12.555 \| good	24.416 \| good	0.855 \| good	9.35 \| good	0.023 \| good
2025-06-04T07:00:00.000Z	25 \| good	4.106 \| good	11.311 \| good	26.868 \| good	0.741 \| good	13.798 \| good	0.02 \| good
2025-06-04T08:00:00.000Z	27 \| good	3.869 \| good	11.097 \| good	28.967 \| good	0.75 \| good	5.52 \| good	0.017 \| good
2025-06-04T09:00:00.000Z	22 \| good	3.978 \| good	10.515 \| good	22.242 \| good	0.815 \| good	7.383 \| good	0.017 \| good
2025-06-04T10:00:00.000Z	25 \| good	3.989 \| good	11.41 \| good	27.139 \| good	0.818 \| good	6.402 \| good	0.015 \| good
2025-06-04T11:00:00.000Z	27 \| good	3.954 \| good	11.199 \| good	29.488 \| good	0.889 \| good	6.127 \| good	0.016 \| good
2025-06-04T12:00:00.000Z	28 \| good	4.488 \| good	12.276 \| good	30.215 \| good	0.814 \| good	7.9 \| good	0.017 \| good
2025-06-04T13:00:00.000Z	27 \| good	4.275 \| good	13.991 \| good	28.695 \| good	0.811 \| good	6.22 \| good	0.017 \| good
2025-06-04T14:00:00.000Z	31 \| good	4.115 \| good	10.655 \| good	32.565 \| good	0.872 \| good	5.519 \| good	0.017 \| good
2025-06-04T15:00:00.000Z	35 \| good	4.673 \| good	13.789 \| good	38.048 \| good	0.87 \| good	5.544 \| good	0.017 \| good
2025-06-04T16:00:00.000Z	35 \| good	4.673 \| good	13.789 \| good	38.048 \| good	0.87 \| good	5.544 \| good	0.017 \| good
2025-06-04T17:00:00.000Z	33 \| good	3.224 \| good	5.938 \| good	35.715 \| good	0.093 \| good	4.107 \| good	0.117 \| good
2025-06-04T18:00:00.000Z	33 \| good	3.206 \| good	5.304 \| good	35.922 \| good	0.115 \| good	4.136 \| good	0.118 \| good
2025-06-04T19:00:00.000Z	32 \| good	3.538 \| good	5.095 \| good	34.862 \| good	0.125 \| good	4.211 \| good	0.12 \| good
2025-06-04T20:00:00.000Z	31 \| good	3.928 \| good	5.515 \| good	32.874 \| good	0.164 \| good	4.705 \| good	0.123 \| good
2025-06-04T21:00:00.000Z	28 \| good	4.88 \| good	6.937 \| good	30.228 \| good	0.209 \| good	4.632 \| good	0.124 \| good
2025-06-04T22:00:00.000Z	27 \| good	5.119 \| good	7.075 \| good	28.308 \| good	0.206 \| good	4.68 \| good	0.124 \| good
2025-06-04T23:00:00.000Z	27 \| good	5.422 \| good	7.545 \| good	27.642 \| good	0.183 \| good	4.659 \| good	0.124 \| good
2025-06-05T00:00:00.000Z	33 \| good	5.907 \| good	8.597 \| good	25.749 \| good	0.162 \| good	4.043 \| good	0.123 \| good
2025-06-05T01:00:00.000Z	38 \| good	6.803 \| good	9.209 \| good	24.669 \| good	0.148 \| good	3.392 \| good	0.121 \| good
2025-06-05T02:00:00.000Z	38 \| good	7.368 \| good	9.631 \| good	24.794 \| good	0.15 \| good	2.936 \| good	0.122 \| good
2025-06-05T03:00:00.000Z	38 \| good	7.497 \| good	10.019 \| good	24.904 \| good	0.139 \| good	2.574 \| good	0.122 \| good
2025-06-05T04:00:00.000Z	44 \| good	7.665 \| good	10.551 \| good	25.15 \| good	0.136 \| good	2.35 \| good	0.122 \| good
2025-06-05T05:00:00.000Z	44 \| good	7.777 \| good	10.94 \| good	25.941 \| good	0.13 \| good	2.198 \| good	0.123 \| good
2025-06-05T06:00:00.000Z	38 \| good	6.616 \| good	9.498 \| good	28.413 \| good	0.144 \| good	3.402 \| good	0.121 \| good
2025-06-05T07:00:00.000Z	27 \| good	4.78 \| good	7.025 \| good	27.996 \| good	0.162 \| good	4.949 \| good	0.117 \| good
2025-06-05T08:00:00.000Z	26 \| good	4.371 \| good	5.728 \| good	28.137 \| good	0.116 \| good	5.356 \| good	0.116 \| good
2025-06-05T09:00:00.000Z	33 \| good	5.94 \| good	7.138 \| good	29.45 \| good	0.131 \| good	6.314 \| good	0.118 \| good
2025-06-05T10:00:00.000Z	44 \| good	7.8 \| good	8.571 \| good	34.578 \| good	0.119 \| good	3.423 \| good	0.12 \| good
2025-06-05T11:00:00.000Z	44 \| good	7.864 \| good	10.388 \| good	35.83 \| good	0.089 \| good	2.677 \| good	0.119 \| good
2025-06-05T12:00:00.000Z	36 \| good	6.397 \| good	9.075 \| good	38.718 \| good	0.086 \| good	2.648 \| good	0.121 \| good
2025-06-05T13:00:00.000Z	37 \| good	5.338 \| good	6.641 \| good	39.838 \| good	0.082 \| good	2.695 \| good	0.121 \| good
2025-06-05T14:00:00.000Z	38 \| good	6.648 \| good	8.972 \| good	38.448 \| good	0.088 \| good	2.705 \| good	0.121 \| good
2025-06-05T15:00:00.000Z	38 \| good	7.286 \| good	9.723 \| good	36.664 \| good	0.094 \| good	3.132 \| good	0.121 \| good
2025-06-05T16:00:00.000Z	44 \| good	7.619 \| good	10.322 \| good	34.225 \| good	0.099 \| good	4.077 \| good	0.123 \| good
2025-06-05T17:00:00.000Z	44 \| good	7.695 \| good	9.807 \| good	33.157 \| good	0.109 \| good	5.095 \| good	0.127 \| good
2025-06-05T18:00:00.000Z	38 \| good	7.455 \| good	9.309 \| good	32.043 \| good	0.121 \| good	5.747 \| good	0.128 \| good
2025-06-05T19:00:00.000Z	38 \| good	7.411 \| good	9.331 \| good	30.86 \| good	0.13 \| good	5.485 \| good	0.129 \| good
2025-06-05T20:00:00.000Z	44 \| good	7.802 \| good	9.55 \| good	28.141 \| good	0.159 \| good	5.81 \| good	0.128 \| good
2025-06-05T21:00:00.000Z	44 \| good	7.673 \| good	9.557 \| good	26.524 \| good	0.19 \| good	5.883 \| good	0.128 \| good
2025-06-05T22:00:00.000Z	33 \| good	6.455 \| good	9.268 \| good	25.802 \| good	0.193 \| good	6.137 \| good	0.129 \| good
2025-06-05T23:00:00.000Z	33 \| good	5.555 \| good	9.147 \| good	25.194 \| good	0.179 \| good	5.455 \| good	0.128 \| good
2025-06-06T00:00:00.000Z	33 \| good	5.592 \| good	8.981 \| good	25.165 \| good	0.152 \| good	4.003 \| good	0.128 \| good
2025-06-06T01:00:00.000Z	33 \| good	5.773 \| good	9.203 \| good	25.502 \| good	0.139 \| good	3.038 \| good	0.126 \| good
2025-06-06T02:00:00.000Z	33 \| good	5.842 \| good	9.767 \| good	25.484 \| good	0.136 \| good	2.487 \| good	0.125 \| good
2025-06-06T03:00:00.000Z	33 \| good	6.006 \| good	8.864 \| good	25.218 \| good	0.129 \| good	2.243 \| good	0.124 \| good
2025-06-06T04:00:00.000Z	33 \| good	5.949 \| good	8.448 \| good	24.408 \| good	0.117 \| good	2.207 \| good	0.124 \| good
2025-06-06T05:00:00.000Z	33 \| good	6.17 \| good	8.64 \| good	24.765 \| good	0.116 \| good	2.391 \| good	0.125 \| good
2025-06-06T06:00:00.000Z	33 \| good	6.327 \| good	9.474 \| good	28.072 \| good	0.121 \| good	3.216 \| good	0.126 \| good
2025-06-06T07:00:00.000Z	38 \| good	6.545 \| good	9.208 \| good	28.691 \| good	0.148 \| good	4.302 \| good	0.13 \| good
2025-06-06T08:00:00.000Z	33 \| good	5.787 \| good	8.357 \| good	30.137 \| good	0.129 \| good	3.869 \| good	0.129 \| good
2025-06-06T09:00:00.000Z	29 \| good	4.802 \| good	6.504 \| good	30.577 \| good	0.107 \| good	3.278 \| good	0.126 \| good
2025-06-06T10:00:00.000Z	30 \| good	4.056 \| good	5.157 \| good	31.872 \| good	0.086 \| good	2.577 \| good	0.123 \| good
2025-06-06T11:00:00.000Z	31 \| good	3.97 \| good	4.707 \| good	33.061 \| good	0.095 \| good	2.291 \| good	0.122 \| good
2025-06-06T12:00:00.000Z	35 \| good	4.25 \| good	5.19 \| good	38.287 \| good	0.105 \| good	2.102 \| good	0.119 \| good
2025-06-06T13:00:00.000Z	37 \| good	4.537 \| good	5.58 \| good	40.294 \| good	0.102 \| good	1.851 \| good	0.114 \| good
2025-06-06T14:00:00.000Z	40 \| good	5.423 \| good	6.764 \| good	42.936 \| good	0.109 \| good	1.968 \| good	0.115 \| good
2025-06-06T15:00:00.000Z	42 \| good	4.98 \| good	7.392 \| good	45.035 \| good	0.135 \| good	2.219 \| good	0.116 \| good
2025-06-06T16:00:00.000Z	42 \| good	4.941 \| good	7.13 \| good	44.777 \| good	0.118 \| good	2.927 \| good	0.106 \| good

Marlow

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Marlow, Buckinghamshire air quality map: Track AQI near you

0.02ppm

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 03:00:00 on 2025-06-04.

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 09:00:00 on 2025-06-04.

What is the current air quality in Marlow, Buckinghamshire?

The current air quality in Marlow, Buckinghamshire is 35, 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 4.673 μg/m³.

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

The current PM₁₀ concentration at Marlow, Buckinghamshire is 13.789 μg/m³.

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

The current carbon monoxide (CO) concentration at Marlow, Buckinghamshire is 0.017 ppm.

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

The current sulfur dioxide (SO₂) concentration at Marlow, Buckinghamshire is 0.87 ppb.

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

The current ozone (O₃) concentration at Marlow, Buckinghamshire is 38.048 ppm.

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

The current nitrogen dioxide (NO₂) concentration at Marlow, Buckinghamshire is 5.544 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-06-02T17:00:00.000Z	33 \| good	4.091 \| good	10.175 \| good	36.128 \| good	0.895 \| good	4.132 \| good	0.016 \| good
2025-06-02T18:00:00.000Z	35 \| good	4.005 \| good	17.263 \| good	37.537 \| good	0.736 \| good	5.524 \| good	0.016 \| good
2025-06-02T19:00:00.000Z	33 \| good	4.144 \| good	16.501 \| good	36.444 \| good	0.813 \| good	4.254 \| good	0.018 \| good
2025-06-02T20:00:00.000Z	37 \| good	4.208 \| good	11.721 \| good	39.732 \| good	0.817 \| good	4.045 \| good	0.02 \| good
2025-06-02T21:00:00.000Z	35 \| good	4.287 \| good	11.622 \| good	37.864 \| good	0.821 \| good	4.007 \| good	0.023 \| good
2025-06-02T22:00:00.000Z	36 \| good	4.229 \| good	11.815 \| good	38.784 \| good	0.854 \| good	4.074 \| good	0.023 \| good
2025-06-02T23:00:00.000Z	36 \| good	4.333 \| good	10.636 \| good	38.843 \| good	1.006 \| good	2.44 \| good	0.032 \| good
2025-06-03T00:00:00.000Z	35 \| good	5.668 \| good	10.379 \| good	38.263 \| good	0.852 \| good	3.35 \| good	0.34 \| good
2025-06-03T01:00:00.000Z	34 \| good	5 \| good	14.195 \| good	36.892 \| good	0.754 \| good	3.302 \| good	0.316 \| good
2025-06-03T02:00:00.000Z	33 \| good	5.613 \| good	13.156 \| good	32.989 \| good	0.762 \| good	3.798 \| good	0.295 \| good
2025-06-03T03:00:00.000Z	32 \| good	4.67 \| good	11.481 \| good	34.837 \| good	0.84 \| good	3.653 \| good	0.294 \| good
2025-06-03T04:00:00.000Z	38 \| good	6.727 \| good	13.965 \| good	31.575 \| good	0.766 \| good	4.26 \| good	0.332 \| good
2025-06-03T05:00:00.000Z	28 \| good	4.852 \| good	12.775 \| good	30.467 \| good	1.005 \| good	3.164 \| good	0.267 \| good
2025-06-03T06:00:00.000Z	28 \| good	4.91 \| good	16.081 \| good	30.165 \| good	0.995 \| good	3.568 \| good	0.341 \| good
2025-06-03T07:00:00.000Z	29 \| good	5.155 \| good	13.77 \| good	30.59 \| good	0.997 \| good	6.058 \| good	0.255 \| good
2025-06-03T08:00:00.000Z	29 \| good	5.077 \| good	12.215 \| good	30.735 \| good	1.003 \| good	4.909 \| good	0.198 \| good
2025-06-03T09:00:00.000Z	28 \| good	5.073 \| good	15.385 \| good	30.18 \| good	1.066 \| good	6.778 \| good	0.16 \| good
2025-06-03T10:00:00.000Z	29 \| good	4.96 \| good	12.542 \| good	31.219 \| good	1.063 \| good	5.821 \| good	0.156 \| good
2025-06-03T11:00:00.000Z	28 \| good	5.349 \| good	15.562 \| good	29.554 \| good	0.996 \| good	4.888 \| good	0.139 \| good
2025-06-03T12:00:00.000Z	31 \| good	4.753 \| good	13.191 \| good	33.312 \| good	1 \| good	3.633 \| good	0.153 \| good
2025-06-03T13:00:00.000Z	29 \| good	5.282 \| good	10.867 \| good	30.701 \| good	1.073 \| good	3.481 \| good	0.146 \| good
2025-06-03T14:00:00.000Z	28 \| good	5.354 \| good	12.263 \| good	30.334 \| good	0.995 \| good	4.182 \| good	0.151 \| good
2025-06-03T15:00:00.000Z	28 \| good	5.093 \| good	10.679 \| good	29.538 \| good	0.915 \| good	4.856 \| good	0.144 \| good
2025-06-03T16:00:00.000Z	33 \| good	5.502 \| good	13.404 \| good	28.856 \| good	0.992 \| good	5.52 \| good	0.155 \| good
2025-06-03T17:00:00.000Z	28 \| good	4.842 \| good	14.829 \| good	29.606 \| good	1.14 \| good	3.984 \| good	0.165 \| good
2025-06-03T18:00:00.000Z	29 \| good	4.842 \| good	18.507 \| good	31.191 \| good	1.223 \| good	7.691 \| good	0.17 \| good
2025-06-03T19:00:00.000Z	28 \| good	4.653 \| good	15.002 \| good	29.543 \| good	1.069 \| good	7.453 \| good	0.189 \| good
2025-06-03T20:00:00.000Z	31 \| good	4.99 \| good	18.018 \| good	32.855 \| good	1.069 \| good	7.078 \| good	0.198 \| good
2025-06-03T21:00:00.000Z	27 \| good	5.044 \| good	11.447 \| good	27.869 \| good	1.051 \| good	6.261 \| good	0.255 \| good
2025-06-03T22:00:00.000Z	30 \| good	4.968 \| good	12.387 \| good	32.456 \| good	1.084 \| good	7.919 \| good	0.29 \| good
2025-06-03T23:00:00.000Z	28 \| good	4.912 \| good	12.545 \| good	29.914 \| good	1.109 \| good	7.498 \| good	0.336 \| good
2025-06-04T00:00:00.000Z	29 \| good	5.296 \| good	12.316 \| good	31.088 \| good	0.886 \| good	4.155 \| good	0.29 \| good
2025-06-04T01:00:00.000Z	29 \| good	4.599 \| good	11.991 \| good	30.761 \| good	0.891 \| good	4.109 \| good	0.34 \| good
2025-06-04T02:00:00.000Z	33 \| good	5.604 \| good	13.562 \| good	27.679 \| good	0.833 \| good	2.798 \| good	0.347 \| good
2025-06-04T03:00:00.000Z	25 \| good	3.857 \| good	13.267 \| good	27.027 \| good	0.924 \| good	3.049 \| good	0.299 \| good
2025-06-04T04:00:00.000Z	27 \| good	4.879 \| good	13.611 \| good	25.884 \| good	0.949 \| good	2.367 \| good	0.276 \| good
2025-06-04T05:00:00.000Z	27 \| good	4.677 \| good	12.885 \| good	25.123 \| good	0.861 \| good	2.671 \| good	0.035 \| good
2025-06-04T06:00:00.000Z	22 \| good	4.156 \| good	12.555 \| good	24.416 \| good	0.855 \| good	9.35 \| good	0.023 \| good
2025-06-04T07:00:00.000Z	25 \| good	4.106 \| good	11.311 \| good	26.868 \| good	0.741 \| good	13.798 \| good	0.02 \| good
2025-06-04T08:00:00.000Z	27 \| good	3.869 \| good	11.097 \| good	28.967 \| good	0.75 \| good	5.52 \| good	0.017 \| good
2025-06-04T09:00:00.000Z	22 \| good	3.978 \| good	10.515 \| good	22.242 \| good	0.815 \| good	7.383 \| good	0.017 \| good
2025-06-04T10:00:00.000Z	25 \| good	3.989 \| good	11.41 \| good	27.139 \| good	0.818 \| good	6.402 \| good	0.015 \| good
2025-06-04T11:00:00.000Z	27 \| good	3.954 \| good	11.199 \| good	29.488 \| good	0.889 \| good	6.127 \| good	0.016 \| good
2025-06-04T12:00:00.000Z	28 \| good	4.488 \| good	12.276 \| good	30.215 \| good	0.814 \| good	7.9 \| good	0.017 \| good
2025-06-04T13:00:00.000Z	27 \| good	4.275 \| good	13.991 \| good	28.695 \| good	0.811 \| good	6.22 \| good	0.017 \| good
2025-06-04T14:00:00.000Z	31 \| good	4.115 \| good	10.655 \| good	32.565 \| good	0.872 \| good	5.519 \| good	0.017 \| good
2025-06-04T15:00:00.000Z	35 \| good	4.673 \| good	13.789 \| good	38.048 \| good	0.87 \| good	5.544 \| good	0.017 \| good
2025-06-04T16:00:00.000Z	35 \| good	4.673 \| good	13.789 \| good	38.048 \| good	0.87 \| good	5.544 \| good	0.017 \| good
2025-06-04T17:00:00.000Z	33 \| good	3.224 \| good	5.938 \| good	35.715 \| good	0.093 \| good	4.107 \| good	0.117 \| good
2025-06-04T18:00:00.000Z	33 \| good	3.206 \| good	5.304 \| good	35.922 \| good	0.115 \| good	4.136 \| good	0.118 \| good
2025-06-04T19:00:00.000Z	32 \| good	3.538 \| good	5.095 \| good	34.862 \| good	0.125 \| good	4.211 \| good	0.12 \| good
2025-06-04T20:00:00.000Z	31 \| good	3.928 \| good	5.515 \| good	32.874 \| good	0.164 \| good	4.705 \| good	0.123 \| good
2025-06-04T21:00:00.000Z	28 \| good	4.88 \| good	6.937 \| good	30.228 \| good	0.209 \| good	4.632 \| good	0.124 \| good
2025-06-04T22:00:00.000Z	27 \| good	5.119 \| good	7.075 \| good	28.308 \| good	0.206 \| good	4.68 \| good	0.124 \| good
2025-06-04T23:00:00.000Z	27 \| good	5.422 \| good	7.545 \| good	27.642 \| good	0.183 \| good	4.659 \| good	0.124 \| good
2025-06-05T00:00:00.000Z	33 \| good	5.907 \| good	8.597 \| good	25.749 \| good	0.162 \| good	4.043 \| good	0.123 \| good
2025-06-05T01:00:00.000Z	38 \| good	6.803 \| good	9.209 \| good	24.669 \| good	0.148 \| good	3.392 \| good	0.121 \| good
2025-06-05T02:00:00.000Z	38 \| good	7.368 \| good	9.631 \| good	24.794 \| good	0.15 \| good	2.936 \| good	0.122 \| good
2025-06-05T03:00:00.000Z	38 \| good	7.497 \| good	10.019 \| good	24.904 \| good	0.139 \| good	2.574 \| good	0.122 \| good
2025-06-05T04:00:00.000Z	44 \| good	7.665 \| good	10.551 \| good	25.15 \| good	0.136 \| good	2.35 \| good	0.122 \| good
2025-06-05T05:00:00.000Z	44 \| good	7.777 \| good	10.94 \| good	25.941 \| good	0.13 \| good	2.198 \| good	0.123 \| good
2025-06-05T06:00:00.000Z	38 \| good	6.616 \| good	9.498 \| good	28.413 \| good	0.144 \| good	3.402 \| good	0.121 \| good
2025-06-05T07:00:00.000Z	27 \| good	4.78 \| good	7.025 \| good	27.996 \| good	0.162 \| good	4.949 \| good	0.117 \| good
2025-06-05T08:00:00.000Z	26 \| good	4.371 \| good	5.728 \| good	28.137 \| good	0.116 \| good	5.356 \| good	0.116 \| good
2025-06-05T09:00:00.000Z	33 \| good	5.94 \| good	7.138 \| good	29.45 \| good	0.131 \| good	6.314 \| good	0.118 \| good
2025-06-05T10:00:00.000Z	44 \| good	7.8 \| good	8.571 \| good	34.578 \| good	0.119 \| good	3.423 \| good	0.12 \| good
2025-06-05T11:00:00.000Z	44 \| good	7.864 \| good	10.388 \| good	35.83 \| good	0.089 \| good	2.677 \| good	0.119 \| good
2025-06-05T12:00:00.000Z	36 \| good	6.397 \| good	9.075 \| good	38.718 \| good	0.086 \| good	2.648 \| good	0.121 \| good
2025-06-05T13:00:00.000Z	37 \| good	5.338 \| good	6.641 \| good	39.838 \| good	0.082 \| good	2.695 \| good	0.121 \| good
2025-06-05T14:00:00.000Z	38 \| good	6.648 \| good	8.972 \| good	38.448 \| good	0.088 \| good	2.705 \| good	0.121 \| good
2025-06-05T15:00:00.000Z	38 \| good	7.286 \| good	9.723 \| good	36.664 \| good	0.094 \| good	3.132 \| good	0.121 \| good
2025-06-05T16:00:00.000Z	44 \| good	7.619 \| good	10.322 \| good	34.225 \| good	0.099 \| good	4.077 \| good	0.123 \| good
2025-06-05T17:00:00.000Z	44 \| good	7.695 \| good	9.807 \| good	33.157 \| good	0.109 \| good	5.095 \| good	0.127 \| good
2025-06-05T18:00:00.000Z	38 \| good	7.455 \| good	9.309 \| good	32.043 \| good	0.121 \| good	5.747 \| good	0.128 \| good
2025-06-05T19:00:00.000Z	38 \| good	7.411 \| good	9.331 \| good	30.86 \| good	0.13 \| good	5.485 \| good	0.129 \| good
2025-06-05T20:00:00.000Z	44 \| good	7.802 \| good	9.55 \| good	28.141 \| good	0.159 \| good	5.81 \| good	0.128 \| good
2025-06-05T21:00:00.000Z	44 \| good	7.673 \| good	9.557 \| good	26.524 \| good	0.19 \| good	5.883 \| good	0.128 \| good
2025-06-05T22:00:00.000Z	33 \| good	6.455 \| good	9.268 \| good	25.802 \| good	0.193 \| good	6.137 \| good	0.129 \| good
2025-06-05T23:00:00.000Z	33 \| good	5.555 \| good	9.147 \| good	25.194 \| good	0.179 \| good	5.455 \| good	0.128 \| good
2025-06-06T00:00:00.000Z	33 \| good	5.592 \| good	8.981 \| good	25.165 \| good	0.152 \| good	4.003 \| good	0.128 \| good
2025-06-06T01:00:00.000Z	33 \| good	5.773 \| good	9.203 \| good	25.502 \| good	0.139 \| good	3.038 \| good	0.126 \| good
2025-06-06T02:00:00.000Z	33 \| good	5.842 \| good	9.767 \| good	25.484 \| good	0.136 \| good	2.487 \| good	0.125 \| good
2025-06-06T03:00:00.000Z	33 \| good	6.006 \| good	8.864 \| good	25.218 \| good	0.129 \| good	2.243 \| good	0.124 \| good
2025-06-06T04:00:00.000Z	33 \| good	5.949 \| good	8.448 \| good	24.408 \| good	0.117 \| good	2.207 \| good	0.124 \| good
2025-06-06T05:00:00.000Z	33 \| good	6.17 \| good	8.64 \| good	24.765 \| good	0.116 \| good	2.391 \| good	0.125 \| good
2025-06-06T06:00:00.000Z	33 \| good	6.327 \| good	9.474 \| good	28.072 \| good	0.121 \| good	3.216 \| good	0.126 \| good
2025-06-06T07:00:00.000Z	38 \| good	6.545 \| good	9.208 \| good	28.691 \| good	0.148 \| good	4.302 \| good	0.13 \| good
2025-06-06T08:00:00.000Z	33 \| good	5.787 \| good	8.357 \| good	30.137 \| good	0.129 \| good	3.869 \| good	0.129 \| good
2025-06-06T09:00:00.000Z	29 \| good	4.802 \| good	6.504 \| good	30.577 \| good	0.107 \| good	3.278 \| good	0.126 \| good
2025-06-06T10:00:00.000Z	30 \| good	4.056 \| good	5.157 \| good	31.872 \| good	0.086 \| good	2.577 \| good	0.123 \| good
2025-06-06T11:00:00.000Z	31 \| good	3.97 \| good	4.707 \| good	33.061 \| good	0.095 \| good	2.291 \| good	0.122 \| good
2025-06-06T12:00:00.000Z	35 \| good	4.25 \| good	5.19 \| good	38.287 \| good	0.105 \| good	2.102 \| good	0.119 \| good
2025-06-06T13:00:00.000Z	37 \| good	4.537 \| good	5.58 \| good	40.294 \| good	0.102 \| good	1.851 \| good	0.114 \| good
2025-06-06T14:00:00.000Z	40 \| good	5.423 \| good	6.764 \| good	42.936 \| good	0.109 \| good	1.968 \| good	0.115 \| good
2025-06-06T15:00:00.000Z	42 \| good	4.98 \| good	7.392 \| good	45.035 \| good	0.135 \| good	2.219 \| good	0.116 \| good
2025-06-06T16:00:00.000Z	42 \| good	4.941 \| good	7.13 \| good	44.777 \| good	0.118 \| good	2.927 \| good	0.106 \| good

Live air quality index in Marlow, Buckinghamshire today

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

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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?