What are the current PM10 levels at Beaconsfield, Buckinghamshire?

The current PM10 levels in Beaconsfield, Buckinghamshire are 10.002 μg/m3.

What are the current sulfur dioxide (SO2) levels at Beaconsfield, Buckinghamshire?

The current sulfur dioxide (SO2) levels in Beaconsfield, Buckinghamshire are 0.355 ppb.

What are the current ozone (O3) levels at Beaconsfield, Buckinghamshire?

The current ozone (O3) levels at Beaconsfield, Buckinghamshire is 19.639 ppm.

What are the current nitrogen dioxide (NO2) levels at Beaconsfield, Buckinghamshire?

The current nitrogen dioxide (NO2) levels at Beaconsfield, Buckinghamshire is 4.384 ppb.

Real-time air quality index in Beaconsfield, Buckinghamshire today

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

Stay updated with real-time air quality in Beaconsfield, 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

Beaconsfield, Buckinghamshire

Last updated: ... (Local time)

Common air pollutants in Beaconsfield, Buckinghamshire

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

2.79 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

7.99 μg/m³

155

255

425

605+

Ozone (O₃)

23.28 ppb

201

201+

Sulfur Dioxide (SO₂)

0.38 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

1.20 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.20 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

Beaconsfield, Buckinghamshire

Get Live Pollen Counts

Beaconsfield, Buckinghamshire

Scroll To Air Quality Map

Track live Beaconsfield, Buckinghamshire air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-09-16T04:00:00.000Z	27 \| good	5.494 \| good	15.216 \| good	24.982 \| good	0.424 \| good	3.436 \| good	0.364 \| good
2025-09-16T05:00:00.000Z	27 \| good	5.099 \| good	15.858 \| good	24.849 \| good	0.356 \| good	2.323 \| good	0.321 \| good
2025-09-16T06:00:00.000Z	33 \| good	5.792 \| good	15.018 \| good	25.13 \| good	0.356 \| good	2.709 \| good	0.022 \| good
2025-09-16T07:00:00.000Z	33 \| good	6.258 \| good	18.893 \| good	25.756 \| good	0.357 \| good	3.241 \| good	0.024 \| good
2025-09-16T08:00:00.000Z	27 \| good	5.379 \| good	14.278 \| good	25.338 \| good	0.357 \| good	5.148 \| good	0.022 \| good
2025-09-16T09:00:00.000Z	27 \| good	5 \| good	12.18 \| good	22.405 \| good	0.459 \| good	5.136 \| good	0.021 \| good
2025-09-16T10:00:00.000Z	27 \| good	4.823 \| good	13.935 \| good	22.508 \| good	0.446 \| good	5.035 \| good	0.021 \| good
2025-09-16T11:00:00.000Z	27 \| good	4.783 \| good	15.337 \| good	23.578 \| good	0.446 \| good	5.813 \| good	0.02 \| good
2025-09-16T12:00:00.000Z	22 \| good	4.378 \| good	11.209 \| good	23.5 \| good	0.479 \| good	4.274 \| good	0.018 \| good
2025-09-16T13:00:00.000Z	22 \| good	4.225 \| good	15.213 \| good	23.642 \| good	0.427 \| good	4.988 \| good	0.018 \| good
2025-09-16T14:00:00.000Z	25 \| good	4.024 \| good	17.249 \| good	27.085 \| good	0.478 \| good	4.594 \| good	0.018 \| good
2025-09-16T15:00:00.000Z	26 \| good	4.389 \| good	11.719 \| good	28.491 \| good	0.446 \| good	5.544 \| good	0.019 \| good
2025-09-16T16:00:00.000Z	29 \| good	4.337 \| good	14.11 \| good	30.72 \| good	0.513 \| good	6.296 \| good	0.018 \| good
2025-09-16T17:00:00.000Z	28 \| good	4.35 \| good	11.946 \| good	30.044 \| good	0.514 \| good	5.775 \| good	0.018 \| good
2025-09-16T18:00:00.000Z	30 \| good	4.311 \| good	10.102 \| good	32.169 \| good	0.391 \| good	6.748 \| good	0.02 \| good
2025-09-16T19:00:00.000Z	28 \| good	5.425 \| good	16.576 \| good	29.979 \| good	0.425 \| good	8.088 \| good	0.021 \| good
2025-09-16T20:00:00.000Z	33 \| good	5.593 \| good	14.337 \| good	28.595 \| good	0.357 \| good	6.574 \| good	0.02 \| good
2025-09-16T21:00:00.000Z	26 \| good	4 \| good	12.136 \| good	27.718 \| good	0.356 \| good	7.156 \| good	0.021 \| good
2025-09-16T22:00:00.000Z	27 \| good	5.147 \| good	12.474 \| good	25.19 \| good	0.355 \| good	5.996 \| good	0.017 \| good
2025-09-16T23:00:00.000Z	24 \| good	4.144 \| good	12.069 \| good	26.046 \| good	0.355 \| good	5.001 \| good	0.017 \| good
2025-09-17T00:00:00.000Z	22 \| good	3.702 \| good	10.458 \| good	23.962 \| good	0.431 \| good	5.669 \| good	0.29 \| good
2025-09-17T01:00:00.000Z	23 \| good	3.76 \| good	8.334 \| good	24.786 \| good	0.424 \| good	4.743 \| good	0.339 \| good
2025-09-17T02:00:00.000Z	22 \| good	3.795 \| good	13.793 \| good	20.445 \| good	0.424 \| good	2.802 \| good	0.312 \| good
2025-09-17T03:00:00.000Z	22 \| good	3.839 \| good	13.31 \| good	22.287 \| good	0.424 \| good	3.157 \| good	0.361 \| good
2025-09-17T04:00:00.000Z	27 \| good	5.052 \| good	10.07 \| good	18.293 \| good	0.431 \| good	2.834 \| good	0.37 \| good
2025-09-17T05:00:00.000Z	22 \| good	3.809 \| good	10.09 \| good	21.133 \| good	0.356 \| good	2.894 \| good	0.445 \| good
2025-09-17T06:00:00.000Z	19 \| good	3 \| good	9.032 \| good	19.555 \| good	0.356 \| good	7.183 \| good	0.017 \| good
2025-09-17T07:00:00.000Z	27 \| good	4.68 \| good	9.825 \| good	20.968 \| good	0.355 \| good	4.676 \| good	0.018 \| good
2025-09-17T08:00:00.000Z	18 \| good	3.218 \| good	9.126 \| good	18.843 \| good	0.356 \| good	4.183 \| good	0.017 \| good
2025-09-17T09:00:00.000Z	19 \| good	3.348 \| good	9.079 \| good	19.714 \| good	0.394 \| good	7.112 \| good	0.016 \| good
2025-09-17T10:00:00.000Z	19 \| good	3.2 \| good	7.756 \| good	19.738 \| good	0.363 \| good	6.992 \| good	0.016 \| good
2025-09-17T11:00:00.000Z	21 \| good	3.318 \| good	8.746 \| good	23.139 \| good	0.362 \| good	6.638 \| good	0.016 \| good
2025-09-17T12:00:00.000Z	17 \| good	3.139 \| good	9.237 \| good	18.497 \| good	0.363 \| good	4.079 \| good	0.016 \| good
2025-09-17T13:00:00.000Z	20 \| good	3.267 \| good	8.053 \| good	22.207 \| good	0.362 \| good	3.357 \| good	0.017 \| good
2025-09-17T14:00:00.000Z	18 \| good	3.146 \| good	8.98 \| good	18.805 \| good	0.467 \| good	3.79 \| good	0.016 \| good
2025-09-17T15:00:00.000Z	19 \| good	3.264 \| good	8.812 \| good	20.726 \| good	0.467 \| good	3.215 \| good	0.016 \| good
2025-09-17T16:00:00.000Z	20 \| good	3.332 \| good	8.241 \| good	21.755 \| good	0.466 \| good	3.604 \| good	0.016 \| good
2025-09-17T17:00:00.000Z	21 \| good	3.251 \| good	8.833 \| good	22.91 \| good	0.637 \| good	4.822 \| good	0.018 \| good
2025-09-17T18:00:00.000Z	19 \| good	3.226 \| good	9.161 \| good	21.276 \| good	0.468 \| good	5.195 \| good	0.017 \| good
2025-09-17T19:00:00.000Z	21 \| good	2.84 \| good	8.81 \| good	22.595 \| good	0.468 \| good	4.68 \| good	0.017 \| good
2025-09-17T20:00:00.000Z	22 \| good	3.164 \| good	8.938 \| good	23.785 \| good	0.362 \| good	3.498 \| good	0.018 \| good
2025-09-17T21:00:00.000Z	20 \| good	2.873 \| good	9.393 \| good	22.446 \| good	0.397 \| good	3.995 \| good	0.02 \| good
2025-09-17T22:00:00.000Z	22 \| good	4 \| good	8.543 \| good	23.825 \| good	0.362 \| good	2.223 \| good	0.012 \| good
2025-09-17T23:00:00.000Z	20 \| good	2.963 \| good	8.54 \| good	21.715 \| good	0.362 \| good	2.744 \| good	0.012 \| good
2025-09-18T00:00:00.000Z	21 \| good	2.751 \| good	8.481 \| good	22.618 \| good	0.382 \| good	2.11 \| good	0.208 \| good
2025-09-18T01:00:00.000Z	21 \| good	2.977 \| good	7.991 \| good	22.787 \| good	0.382 \| good	3.753 \| good	0.154 \| good
2025-09-18T02:00:00.000Z	22 \| good	2.693 \| good	7.971 \| good	23.665 \| good	0.382 \| good	1.205 \| good	0.195 \| good
2025-09-18T03:00:00.000Z	21 \| good	2.794 \| good	7.992 \| good	23.284 \| good	0.382 \| good	1.2 \| good	0.195 \| good
2025-09-17T08:00:00.000Z	31 \| good	4.221 \| good	6.89 \| good	33.008 \| good	0.148 \| good	4.201 \| good	0.118 \| good
2025-09-17T09:00:00.000Z	30 \| good	4.235 \| good	7.544 \| good	32.324 \| good	0.115 \| good	3.767 \| good	0.118 \| good
2025-09-17T10:00:00.000Z	31 \| good	4.413 \| good	8.557 \| good	33.073 \| good	0.108 \| good	3.193 \| good	0.117 \| good
2025-09-17T11:00:00.000Z	31 \| good	4.666 \| good	9.111 \| good	33.234 \| good	0.086 \| good	2.691 \| good	0.117 \| good
2025-09-17T12:00:00.000Z	31 \| good	4.736 \| good	9.317 \| good	32.578 \| good	0.085 \| good	2.609 \| good	0.116 \| good
2025-09-17T13:00:00.000Z	30 \| good	4.74 \| good	9.22 \| good	31.989 \| good	0.08 \| good	2.597 \| good	0.115 \| good
2025-09-17T14:00:00.000Z	30 \| good	4.779 \| good	9.245 \| good	32.236 \| good	0.08 \| good	2.628 \| good	0.114 \| good
2025-09-17T15:00:00.000Z	31 \| good	4.875 \| good	9.3 \| good	32.54 \| good	0.075 \| good	2.998 \| good	0.113 \| good
2025-09-17T16:00:00.000Z	29 \| good	5.048 \| good	9.137 \| good	30.848 \| good	0.079 \| good	3.629 \| good	0.113 \| good
2025-09-17T17:00:00.000Z	28 \| good	5.22 \| good	9.102 \| good	29.943 \| good	0.096 \| good	3.97 \| good	0.114 \| good
2025-09-17T18:00:00.000Z	28 \| good	4.973 \| good	9.373 \| good	29.71 \| good	0.109 \| good	4.309 \| good	0.113 \| good
2025-09-17T19:00:00.000Z	28 \| good	4.767 \| good	9.521 \| good	29.807 \| good	0.119 \| good	3.594 \| good	0.111 \| good
2025-09-17T20:00:00.000Z	28 \| good	4.641 \| good	9.561 \| good	29.837 \| good	0.115 \| good	2.885 \| good	0.109 \| good
2025-09-17T21:00:00.000Z	28 \| good	4.748 \| good	9.224 \| good	29.505 \| good	0.1 \| good	2.493 \| good	0.108 \| good
2025-09-17T22:00:00.000Z	27 \| good	4.63 \| good	8.962 \| good	28.761 \| good	0.088 \| good	2.329 \| good	0.107 \| good
2025-09-17T23:00:00.000Z	27 \| good	4.671 \| good	9.036 \| good	28.5 \| good	0.052 \| good	2.142 \| good	0.105 \| good
2025-09-18T00:00:00.000Z	27 \| good	4.651 \| good	9.323 \| good	27.893 \| good	0.045 \| good	1.916 \| good	0.104 \| good
2025-09-18T01:00:00.000Z	26 \| good	4.43 \| good	8.678 \| good	27.703 \| good	0.037 \| good	1.683 \| good	0.102 \| good
2025-09-18T02:00:00.000Z	26 \| good	4.091 \| good	8.02 \| good	27.709 \| good	0.033 \| good	1.423 \| good	0.1 \| good
2025-09-18T03:00:00.000Z	25 \| good	3.863 \| good	7.54 \| good	27.266 \| good	0.034 \| good	1.27 \| good	0.099 \| good
2025-09-18T04:00:00.000Z	25 \| good	3.578 \| good	6.331 \| good	26.532 \| good	0.038 \| good	1.23 \| good	0.1 \| good
2025-09-18T05:00:00.000Z	24 \| good	3.344 \| good	5.999 \| good	25.786 \| good	0.058 \| good	1.333 \| good	0.1 \| good
2025-09-18T06:00:00.000Z	23 \| good	3.716 \| good	6.531 \| good	24.698 \| good	0.077 \| good	2.103 \| good	0.099 \| good
2025-09-18T07:00:00.000Z	22 \| good	3.673 \| good	7.265 \| good	23.455 \| good	0.088 \| good	3.184 \| good	0.102 \| good
2025-09-18T08:00:00.000Z	25 \| good	3.677 \| good	6.952 \| good	27.11 \| good	0.078 \| good	3.489 \| good	0.103 \| good
2025-09-18T09:00:00.000Z	26 \| good	3.478 \| good	6.22 \| good	27.809 \| good	0.074 \| good	3.021 \| good	0.103 \| good
2025-09-18T10:00:00.000Z	26 \| good	3.296 \| good	5.561 \| good	28.036 \| good	0.073 \| good	2.247 \| good	0.102 \| good
2025-09-18T11:00:00.000Z	27 \| good	3.032 \| good	5.511 \| good	28.713 \| good	0.073 \| good	1.742 \| good	0.102 \| good
2025-09-18T12:00:00.000Z	29 \| good	2.964 \| good	5.253 \| good	30.501 \| good	0.07 \| good	1.622 \| good	0.1 \| good
2025-09-18T13:00:00.000Z	28 \| good	2.917 \| good	5.435 \| good	30.038 \| good	0.069 \| good	1.733 \| good	0.099 \| good
2025-09-18T14:00:00.000Z	27 \| good	2.962 \| good	5.628 \| good	29.423 \| good	0.068 \| good	1.85 \| good	0.1 \| good
2025-09-18T15:00:00.000Z	27 \| good	3.005 \| good	6 \| good	29.258 \| good	0.07 \| good	2.112 \| good	0.101 \| good
2025-09-18T16:00:00.000Z	27 \| good	3.166 \| good	6.728 \| good	29.115 \| good	0.079 \| good	2.689 \| good	0.102 \| good
2025-09-18T17:00:00.000Z	26 \| good	3.32 \| good	6.832 \| good	28.109 \| good	0.067 \| good	3.318 \| good	0.103 \| good
2025-09-18T18:00:00.000Z	26 \| good	3.231 \| good	6.33 \| good	27.833 \| good	0.079 \| good	3.646 \| good	0.104 \| good
2025-09-18T19:00:00.000Z	26 \| good	3.199 \| good	6.392 \| good	28.466 \| good	0.105 \| good	3.528 \| good	0.103 \| good
2025-09-18T20:00:00.000Z	26 \| good	3.248 \| good	6.482 \| good	28.08 \| good	0.1 \| good	2.971 \| good	0.103 \| good
2025-09-18T21:00:00.000Z	27 \| good	3.239 \| good	6.465 \| good	28.964 \| good	0.102 \| good	2.563 \| good	0.102 \| good
2025-09-18T22:00:00.000Z	27 \| good	3.202 \| good	6.264 \| good	28.653 \| good	0.099 \| good	2.336 \| good	0.101 \| good
2025-09-18T23:00:00.000Z	26 \| good	3.273 \| good	5.846 \| good	28.133 \| good	0.084 \| good	2.284 \| good	0.101 \| good
2025-09-19T00:00:00.000Z	26 \| good	3.165 \| good	5.558 \| good	27.646 \| good	0.078 \| good	2.038 \| good	0.1 \| good
2025-09-19T01:00:00.000Z	25 \| good	3.084 \| good	5.657 \| good	27.133 \| good	0.074 \| good	1.8 \| good	0.099 \| good
2025-09-19T02:00:00.000Z	25 \| good	3.175 \| good	5.743 \| good	26.713 \| good	0.072 \| good	1.676 \| good	0.099 \| good
2025-09-19T03:00:00.000Z	24 \| good	3.344 \| good	6.177 \| good	26.268 \| good	0.075 \| good	1.632 \| good	0.1 \| good
2025-09-19T04:00:00.000Z	24 \| good	3.636 \| good	6.299 \| good	25.665 \| good	0.084 \| good	1.655 \| good	0.101 \| good
2025-09-19T05:00:00.000Z	24 \| good	4.26 \| good	6.765 \| good	25.792 \| good	0.109 \| good	1.973 \| good	0.103 \| good
2025-09-19T06:00:00.000Z	27 \| good	5.02 \| good	7.706 \| good	25.07 \| good	0.156 \| good	3.426 \| good	0.106 \| good
2025-09-19T07:00:00.000Z	33 \| good	5.796 \| good	8.552 \| good	22.576 \| good	0.209 \| good	6.065 \| good	0.112 \| good

Beaconsfield

Empower business decisions with accurate air quality data

Beaconsfield, Buckinghamshire air quality map: Real-time AQI near you

0.02ppm

How accurate is Buckinghamshire, UK air quality data?

Air quality measurements for Buckinghamshire, 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 Beaconsfield, Buckinghamshire updated?

Air quality data for Beaconsfield, Buckinghamshire is updated on an hourly basis.

When did Beaconsfield, Buckinghamshire experience the worst air quality in the last 24 hours?

The worst air quality in Beaconsfield, Buckinghamshire was recorded at 08:00:00 on 2025-09-16.

When did Beaconsfield, Buckinghamshire have its best air quality in the last 24 hours?

The best air quality in Beaconsfield, Buckinghamshire was recorded at 06:00:00 on 2025-09-17.

What is the real-time air quality index for Beaconsfield, Buckinghamshire?

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

Which pollutant is found most often in Beaconsfield, Buckinghamshire?

The most common pollutant in Beaconsfield, Buckinghamshire is PM2.5.

What can I do if the air quality in Beaconsfield, Buckinghamshire is poor?

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

What are the current PM_2.5 levels in Beaconsfield, Buckinghamshire?

The measured PM_2.5 levels in Beaconsfield, Buckinghamshire at present are 3.808 μg/m³.

What are the current PM₁₀ levels at Beaconsfield, Buckinghamshire?

The current PM₁₀ levels in Beaconsfield, Buckinghamshire are 10.002 μg/m³.

What are the current carbon monoxide (CO) levels at Beaconsfield, Buckinghamshire?

The current carbon monoxide (CO) level in Beaconsfield, Buckinghamshire is 0.022 ppm.

What are the current sulfur dioxide (SO₂) levels at Beaconsfield, Buckinghamshire?

The current sulfur dioxide (SO₂) levels in Beaconsfield, Buckinghamshire are 0.355 ppb.

What are the current ozone (O₃) levels at Beaconsfield, Buckinghamshire?

The current ozone (O₃) levels at Beaconsfield, Buckinghamshire is 19.639 ppm.

What are the current nitrogen dioxide (NO₂) levels at Beaconsfield, Buckinghamshire?

The current nitrogen dioxide (NO₂) levels at Beaconsfield, Buckinghamshire is 4.384 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-09-16T04:00:00.000Z	27 \| good	5.494 \| good	15.216 \| good	24.982 \| good	0.424 \| good	3.436 \| good	0.364 \| good
2025-09-16T05:00:00.000Z	27 \| good	5.099 \| good	15.858 \| good	24.849 \| good	0.356 \| good	2.323 \| good	0.321 \| good
2025-09-16T06:00:00.000Z	33 \| good	5.792 \| good	15.018 \| good	25.13 \| good	0.356 \| good	2.709 \| good	0.022 \| good
2025-09-16T07:00:00.000Z	33 \| good	6.258 \| good	18.893 \| good	25.756 \| good	0.357 \| good	3.241 \| good	0.024 \| good
2025-09-16T08:00:00.000Z	27 \| good	5.379 \| good	14.278 \| good	25.338 \| good	0.357 \| good	5.148 \| good	0.022 \| good
2025-09-16T09:00:00.000Z	27 \| good	5 \| good	12.18 \| good	22.405 \| good	0.459 \| good	5.136 \| good	0.021 \| good
2025-09-16T10:00:00.000Z	27 \| good	4.823 \| good	13.935 \| good	22.508 \| good	0.446 \| good	5.035 \| good	0.021 \| good
2025-09-16T11:00:00.000Z	27 \| good	4.783 \| good	15.337 \| good	23.578 \| good	0.446 \| good	5.813 \| good	0.02 \| good
2025-09-16T12:00:00.000Z	22 \| good	4.378 \| good	11.209 \| good	23.5 \| good	0.479 \| good	4.274 \| good	0.018 \| good
2025-09-16T13:00:00.000Z	22 \| good	4.225 \| good	15.213 \| good	23.642 \| good	0.427 \| good	4.988 \| good	0.018 \| good
2025-09-16T14:00:00.000Z	25 \| good	4.024 \| good	17.249 \| good	27.085 \| good	0.478 \| good	4.594 \| good	0.018 \| good
2025-09-16T15:00:00.000Z	26 \| good	4.389 \| good	11.719 \| good	28.491 \| good	0.446 \| good	5.544 \| good	0.019 \| good
2025-09-16T16:00:00.000Z	29 \| good	4.337 \| good	14.11 \| good	30.72 \| good	0.513 \| good	6.296 \| good	0.018 \| good
2025-09-16T17:00:00.000Z	28 \| good	4.35 \| good	11.946 \| good	30.044 \| good	0.514 \| good	5.775 \| good	0.018 \| good
2025-09-16T18:00:00.000Z	30 \| good	4.311 \| good	10.102 \| good	32.169 \| good	0.391 \| good	6.748 \| good	0.02 \| good
2025-09-16T19:00:00.000Z	28 \| good	5.425 \| good	16.576 \| good	29.979 \| good	0.425 \| good	8.088 \| good	0.021 \| good
2025-09-16T20:00:00.000Z	33 \| good	5.593 \| good	14.337 \| good	28.595 \| good	0.357 \| good	6.574 \| good	0.02 \| good
2025-09-16T21:00:00.000Z	26 \| good	4 \| good	12.136 \| good	27.718 \| good	0.356 \| good	7.156 \| good	0.021 \| good
2025-09-16T22:00:00.000Z	27 \| good	5.147 \| good	12.474 \| good	25.19 \| good	0.355 \| good	5.996 \| good	0.017 \| good
2025-09-16T23:00:00.000Z	24 \| good	4.144 \| good	12.069 \| good	26.046 \| good	0.355 \| good	5.001 \| good	0.017 \| good
2025-09-17T00:00:00.000Z	22 \| good	3.702 \| good	10.458 \| good	23.962 \| good	0.431 \| good	5.669 \| good	0.29 \| good
2025-09-17T01:00:00.000Z	23 \| good	3.76 \| good	8.334 \| good	24.786 \| good	0.424 \| good	4.743 \| good	0.339 \| good
2025-09-17T02:00:00.000Z	22 \| good	3.795 \| good	13.793 \| good	20.445 \| good	0.424 \| good	2.802 \| good	0.312 \| good
2025-09-17T03:00:00.000Z	22 \| good	3.839 \| good	13.31 \| good	22.287 \| good	0.424 \| good	3.157 \| good	0.361 \| good
2025-09-17T04:00:00.000Z	27 \| good	5.052 \| good	10.07 \| good	18.293 \| good	0.431 \| good	2.834 \| good	0.37 \| good
2025-09-17T05:00:00.000Z	22 \| good	3.809 \| good	10.09 \| good	21.133 \| good	0.356 \| good	2.894 \| good	0.445 \| good
2025-09-17T06:00:00.000Z	19 \| good	3 \| good	9.032 \| good	19.555 \| good	0.356 \| good	7.183 \| good	0.017 \| good
2025-09-17T07:00:00.000Z	27 \| good	4.68 \| good	9.825 \| good	20.968 \| good	0.355 \| good	4.676 \| good	0.018 \| good
2025-09-17T08:00:00.000Z	18 \| good	3.218 \| good	9.126 \| good	18.843 \| good	0.356 \| good	4.183 \| good	0.017 \| good
2025-09-17T09:00:00.000Z	19 \| good	3.348 \| good	9.079 \| good	19.714 \| good	0.394 \| good	7.112 \| good	0.016 \| good
2025-09-17T10:00:00.000Z	19 \| good	3.2 \| good	7.756 \| good	19.738 \| good	0.363 \| good	6.992 \| good	0.016 \| good
2025-09-17T11:00:00.000Z	21 \| good	3.318 \| good	8.746 \| good	23.139 \| good	0.362 \| good	6.638 \| good	0.016 \| good
2025-09-17T12:00:00.000Z	17 \| good	3.139 \| good	9.237 \| good	18.497 \| good	0.363 \| good	4.079 \| good	0.016 \| good
2025-09-17T13:00:00.000Z	20 \| good	3.267 \| good	8.053 \| good	22.207 \| good	0.362 \| good	3.357 \| good	0.017 \| good
2025-09-17T14:00:00.000Z	18 \| good	3.146 \| good	8.98 \| good	18.805 \| good	0.467 \| good	3.79 \| good	0.016 \| good
2025-09-17T15:00:00.000Z	19 \| good	3.264 \| good	8.812 \| good	20.726 \| good	0.467 \| good	3.215 \| good	0.016 \| good
2025-09-17T16:00:00.000Z	20 \| good	3.332 \| good	8.241 \| good	21.755 \| good	0.466 \| good	3.604 \| good	0.016 \| good
2025-09-17T17:00:00.000Z	21 \| good	3.251 \| good	8.833 \| good	22.91 \| good	0.637 \| good	4.822 \| good	0.018 \| good
2025-09-17T18:00:00.000Z	19 \| good	3.226 \| good	9.161 \| good	21.276 \| good	0.468 \| good	5.195 \| good	0.017 \| good
2025-09-17T19:00:00.000Z	21 \| good	2.84 \| good	8.81 \| good	22.595 \| good	0.468 \| good	4.68 \| good	0.017 \| good
2025-09-17T20:00:00.000Z	22 \| good	3.164 \| good	8.938 \| good	23.785 \| good	0.362 \| good	3.498 \| good	0.018 \| good
2025-09-17T21:00:00.000Z	20 \| good	2.873 \| good	9.393 \| good	22.446 \| good	0.397 \| good	3.995 \| good	0.02 \| good
2025-09-17T22:00:00.000Z	22 \| good	4 \| good	8.543 \| good	23.825 \| good	0.362 \| good	2.223 \| good	0.012 \| good
2025-09-17T23:00:00.000Z	20 \| good	2.963 \| good	8.54 \| good	21.715 \| good	0.362 \| good	2.744 \| good	0.012 \| good
2025-09-18T00:00:00.000Z	21 \| good	2.751 \| good	8.481 \| good	22.618 \| good	0.382 \| good	2.11 \| good	0.208 \| good
2025-09-18T01:00:00.000Z	21 \| good	2.977 \| good	7.991 \| good	22.787 \| good	0.382 \| good	3.753 \| good	0.154 \| good
2025-09-18T02:00:00.000Z	22 \| good	2.693 \| good	7.971 \| good	23.665 \| good	0.382 \| good	1.205 \| good	0.195 \| good
2025-09-18T03:00:00.000Z	21 \| good	2.794 \| good	7.992 \| good	23.284 \| good	0.382 \| good	1.2 \| good	0.195 \| good
2025-09-17T08:00:00.000Z	31 \| good	4.221 \| good	6.89 \| good	33.008 \| good	0.148 \| good	4.201 \| good	0.118 \| good
2025-09-17T09:00:00.000Z	30 \| good	4.235 \| good	7.544 \| good	32.324 \| good	0.115 \| good	3.767 \| good	0.118 \| good
2025-09-17T10:00:00.000Z	31 \| good	4.413 \| good	8.557 \| good	33.073 \| good	0.108 \| good	3.193 \| good	0.117 \| good
2025-09-17T11:00:00.000Z	31 \| good	4.666 \| good	9.111 \| good	33.234 \| good	0.086 \| good	2.691 \| good	0.117 \| good
2025-09-17T12:00:00.000Z	31 \| good	4.736 \| good	9.317 \| good	32.578 \| good	0.085 \| good	2.609 \| good	0.116 \| good
2025-09-17T13:00:00.000Z	30 \| good	4.74 \| good	9.22 \| good	31.989 \| good	0.08 \| good	2.597 \| good	0.115 \| good
2025-09-17T14:00:00.000Z	30 \| good	4.779 \| good	9.245 \| good	32.236 \| good	0.08 \| good	2.628 \| good	0.114 \| good
2025-09-17T15:00:00.000Z	31 \| good	4.875 \| good	9.3 \| good	32.54 \| good	0.075 \| good	2.998 \| good	0.113 \| good
2025-09-17T16:00:00.000Z	29 \| good	5.048 \| good	9.137 \| good	30.848 \| good	0.079 \| good	3.629 \| good	0.113 \| good
2025-09-17T17:00:00.000Z	28 \| good	5.22 \| good	9.102 \| good	29.943 \| good	0.096 \| good	3.97 \| good	0.114 \| good
2025-09-17T18:00:00.000Z	28 \| good	4.973 \| good	9.373 \| good	29.71 \| good	0.109 \| good	4.309 \| good	0.113 \| good
2025-09-17T19:00:00.000Z	28 \| good	4.767 \| good	9.521 \| good	29.807 \| good	0.119 \| good	3.594 \| good	0.111 \| good
2025-09-17T20:00:00.000Z	28 \| good	4.641 \| good	9.561 \| good	29.837 \| good	0.115 \| good	2.885 \| good	0.109 \| good
2025-09-17T21:00:00.000Z	28 \| good	4.748 \| good	9.224 \| good	29.505 \| good	0.1 \| good	2.493 \| good	0.108 \| good
2025-09-17T22:00:00.000Z	27 \| good	4.63 \| good	8.962 \| good	28.761 \| good	0.088 \| good	2.329 \| good	0.107 \| good
2025-09-17T23:00:00.000Z	27 \| good	4.671 \| good	9.036 \| good	28.5 \| good	0.052 \| good	2.142 \| good	0.105 \| good
2025-09-18T00:00:00.000Z	27 \| good	4.651 \| good	9.323 \| good	27.893 \| good	0.045 \| good	1.916 \| good	0.104 \| good
2025-09-18T01:00:00.000Z	26 \| good	4.43 \| good	8.678 \| good	27.703 \| good	0.037 \| good	1.683 \| good	0.102 \| good
2025-09-18T02:00:00.000Z	26 \| good	4.091 \| good	8.02 \| good	27.709 \| good	0.033 \| good	1.423 \| good	0.1 \| good
2025-09-18T03:00:00.000Z	25 \| good	3.863 \| good	7.54 \| good	27.266 \| good	0.034 \| good	1.27 \| good	0.099 \| good
2025-09-18T04:00:00.000Z	25 \| good	3.578 \| good	6.331 \| good	26.532 \| good	0.038 \| good	1.23 \| good	0.1 \| good
2025-09-18T05:00:00.000Z	24 \| good	3.344 \| good	5.999 \| good	25.786 \| good	0.058 \| good	1.333 \| good	0.1 \| good
2025-09-18T06:00:00.000Z	23 \| good	3.716 \| good	6.531 \| good	24.698 \| good	0.077 \| good	2.103 \| good	0.099 \| good
2025-09-18T07:00:00.000Z	22 \| good	3.673 \| good	7.265 \| good	23.455 \| good	0.088 \| good	3.184 \| good	0.102 \| good
2025-09-18T08:00:00.000Z	25 \| good	3.677 \| good	6.952 \| good	27.11 \| good	0.078 \| good	3.489 \| good	0.103 \| good
2025-09-18T09:00:00.000Z	26 \| good	3.478 \| good	6.22 \| good	27.809 \| good	0.074 \| good	3.021 \| good	0.103 \| good
2025-09-18T10:00:00.000Z	26 \| good	3.296 \| good	5.561 \| good	28.036 \| good	0.073 \| good	2.247 \| good	0.102 \| good
2025-09-18T11:00:00.000Z	27 \| good	3.032 \| good	5.511 \| good	28.713 \| good	0.073 \| good	1.742 \| good	0.102 \| good
2025-09-18T12:00:00.000Z	29 \| good	2.964 \| good	5.253 \| good	30.501 \| good	0.07 \| good	1.622 \| good	0.1 \| good
2025-09-18T13:00:00.000Z	28 \| good	2.917 \| good	5.435 \| good	30.038 \| good	0.069 \| good	1.733 \| good	0.099 \| good
2025-09-18T14:00:00.000Z	27 \| good	2.962 \| good	5.628 \| good	29.423 \| good	0.068 \| good	1.85 \| good	0.1 \| good
2025-09-18T15:00:00.000Z	27 \| good	3.005 \| good	6 \| good	29.258 \| good	0.07 \| good	2.112 \| good	0.101 \| good
2025-09-18T16:00:00.000Z	27 \| good	3.166 \| good	6.728 \| good	29.115 \| good	0.079 \| good	2.689 \| good	0.102 \| good
2025-09-18T17:00:00.000Z	26 \| good	3.32 \| good	6.832 \| good	28.109 \| good	0.067 \| good	3.318 \| good	0.103 \| good
2025-09-18T18:00:00.000Z	26 \| good	3.231 \| good	6.33 \| good	27.833 \| good	0.079 \| good	3.646 \| good	0.104 \| good
2025-09-18T19:00:00.000Z	26 \| good	3.199 \| good	6.392 \| good	28.466 \| good	0.105 \| good	3.528 \| good	0.103 \| good
2025-09-18T20:00:00.000Z	26 \| good	3.248 \| good	6.482 \| good	28.08 \| good	0.1 \| good	2.971 \| good	0.103 \| good
2025-09-18T21:00:00.000Z	27 \| good	3.239 \| good	6.465 \| good	28.964 \| good	0.102 \| good	2.563 \| good	0.102 \| good
2025-09-18T22:00:00.000Z	27 \| good	3.202 \| good	6.264 \| good	28.653 \| good	0.099 \| good	2.336 \| good	0.101 \| good
2025-09-18T23:00:00.000Z	26 \| good	3.273 \| good	5.846 \| good	28.133 \| good	0.084 \| good	2.284 \| good	0.101 \| good
2025-09-19T00:00:00.000Z	26 \| good	3.165 \| good	5.558 \| good	27.646 \| good	0.078 \| good	2.038 \| good	0.1 \| good
2025-09-19T01:00:00.000Z	25 \| good	3.084 \| good	5.657 \| good	27.133 \| good	0.074 \| good	1.8 \| good	0.099 \| good
2025-09-19T02:00:00.000Z	25 \| good	3.175 \| good	5.743 \| good	26.713 \| good	0.072 \| good	1.676 \| good	0.099 \| good
2025-09-19T03:00:00.000Z	24 \| good	3.344 \| good	6.177 \| good	26.268 \| good	0.075 \| good	1.632 \| good	0.1 \| good
2025-09-19T04:00:00.000Z	24 \| good	3.636 \| good	6.299 \| good	25.665 \| good	0.084 \| good	1.655 \| good	0.101 \| good
2025-09-19T05:00:00.000Z	24 \| good	4.26 \| good	6.765 \| good	25.792 \| good	0.109 \| good	1.973 \| good	0.103 \| good
2025-09-19T06:00:00.000Z	27 \| good	5.02 \| good	7.706 \| good	25.07 \| good	0.156 \| good	3.426 \| good	0.106 \| good
2025-09-19T07:00:00.000Z	33 \| good	5.796 \| good	8.552 \| good	22.576 \| good	0.209 \| good	6.065 \| good	0.112 \| good

Real-time air quality index in Beaconsfield, Buckinghamshire today

Common air pollutants in Beaconsfield, Buckinghamshire

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Beaconsfield, Buckinghamshire air quality forecast and history

Empower business decisions with accurate air quality data

Beaconsfield, Buckinghamshire air quality map: Real-time AQI near you

Air quality in nearby cities

Flackwell Heath, Buckinghamshire

Chalfont St Peter, Buckinghamshire

Hazlemere, Buckinghamshire

High Wycombe, Buckinghamshire

Amersham, Buckinghamshire

Marlow, Buckinghamshire

How accurate is Buckinghamshire, UK air quality data?

Air quality levels in UK

Frequently asked questions

How frequently is the air quality data for Beaconsfield, Buckinghamshire updated?

When did Beaconsfield, Buckinghamshire experience the worst air quality in the last 24 hours?

When did Beaconsfield, Buckinghamshire have its best air quality in the last 24 hours?

What is the real-time air quality index for Beaconsfield, Buckinghamshire?

Which pollutant is found most often in Beaconsfield, Buckinghamshire?

What can I do if the air quality in Beaconsfield, Buckinghamshire is poor?

What are the current PM2.5 levels in Beaconsfield, Buckinghamshire?

What are the current PM10 levels at Beaconsfield, Buckinghamshire?

What are the current carbon monoxide (CO) levels at Beaconsfield, Buckinghamshire?

What are the current sulfur dioxide (SO2) levels at Beaconsfield, Buckinghamshire?

What are the current ozone (O3) levels at Beaconsfield, Buckinghamshire?

What are the current nitrogen dioxide (NO2) levels at Beaconsfield, Buckinghamshire?

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 Beaconsfield, Buckinghamshire?

What are the current PM₁₀ levels at Beaconsfield, Buckinghamshire?

What are the current sulfur dioxide (SO₂) levels at Beaconsfield, Buckinghamshire?

What are the current ozone (O₃) levels at Beaconsfield, Buckinghamshire?

What are the current nitrogen dioxide (NO₂) levels at Beaconsfield, Buckinghamshire?