What are the current PM10 levels at Borehamwood, Hertfordshire?

The current PM10 levels in Borehamwood, Hertfordshire are 7.388 μg/m3.

What are the current sulfur dioxide (SO2) levels at Borehamwood, Hertfordshire?

The current sulfur dioxide (SO2) levels in Borehamwood, Hertfordshire are 0.409 ppb.

What are the current ozone (O3) levels at Borehamwood, Hertfordshire?

The current ozone (O3) levels at Borehamwood, Hertfordshire is 18.964 ppm.

What are the current nitrogen dioxide (NO2) levels at Borehamwood, Hertfordshire?

The current nitrogen dioxide (NO2) levels at Borehamwood, Hertfordshire is 7.12 ppb.

Real-time air quality index in Borehamwood, Hertfordshire today

Name: Live air pollution levels in Borehamwood, Hertfordshire today
Creator: Ambee

Stay updated with real-time air quality in Borehamwood, Hertfordshire 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

Borehamwood, Hertfordshire

Last updated: ... (Local time)

Common air pollutants in Borehamwood, Hertfordshire

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

2.83 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

4.89 μg/m³

155

255

425

605+

Ozone (O₃)

25.77 ppb

201

201+

Sulfur Dioxide (SO₂)

0.38 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

1.89 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.20 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

Borehamwood, Hertfordshire

Get Live Pollen Counts

Borehamwood, Hertfordshire

Scroll To Air Quality Map

Track live Borehamwood, Hertfordshire air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-09-16T04:00:00.000Z	27 \| good	5.318 \| good	15.718 \| good	26.585 \| good	0.409 \| good	2.382 \| good	0.364 \| good
2025-09-16T05:00:00.000Z	33 \| good	6.474 \| good	12.576 \| good	26.131 \| good	0.341 \| good	2.056 \| good	0.321 \| good
2025-09-16T06:00:00.000Z	33 \| good	6.244 \| good	15.814 \| good	21.622 \| good	0.342 \| good	2.276 \| good	0.005 \| good
2025-09-16T07:00:00.000Z	33 \| good	5.972 \| good	12.371 \| good	21.334 \| good	0.348 \| good	2.763 \| good	0.005 \| good
2025-09-16T08:00:00.000Z	38 \| good	6.716 \| good	11.964 \| good	22.783 \| good	0.347 \| good	3.289 \| good	0.005 \| good
2025-09-16T09:00:00.000Z	33 \| good	5.553 \| good	13.302 \| good	24.712 \| good	0.443 \| good	3.376 \| good	0.005 \| good
2025-09-16T10:00:00.000Z	27 \| good	5.367 \| good	16.645 \| good	25.229 \| good	0.394 \| good	2.755 \| good	0.005 \| good
2025-09-16T11:00:00.000Z	27 \| good	5.305 \| good	11.935 \| good	22.333 \| good	0.392 \| good	2.921 \| good	0.004 \| good
2025-09-16T12:00:00.000Z	33 \| good	5.804 \| good	12.8 \| good	24.686 \| good	0.378 \| good	2.575 \| good	0.004 \| good
2025-09-16T13:00:00.000Z	33 \| good	5.623 \| good	16.254 \| good	23.38 \| good	0.428 \| good	2.661 \| good	0.004 \| good
2025-09-16T14:00:00.000Z	24 \| good	4.5 \| good	14.515 \| good	25.573 \| good	0.377 \| good	2.488 \| good	0.004 \| good
2025-09-16T15:00:00.000Z	27 \| good	4.826 \| good	13.086 \| good	26.605 \| good	0.391 \| good	2.142 \| good	0.004 \| good
2025-09-16T16:00:00.000Z	27 \| good	5.162 \| good	12.599 \| good	25.768 \| good	0.481 \| good	2.402 \| good	0.004 \| good
2025-09-16T17:00:00.000Z	28 \| good	4.967 \| good	11.618 \| good	29.821 \| good	0.484 \| good	2.189 \| good	0.004 \| good
2025-09-16T18:00:00.000Z	28 \| good	4.783 \| good	13.292 \| good	29.568 \| good	0.365 \| good	2.543 \| good	0.004 \| good
2025-09-16T19:00:00.000Z	27 \| good	5.113 \| good	12.193 \| good	27.389 \| good	0.426 \| good	2.543 \| good	0.005 \| good
2025-09-16T20:00:00.000Z	27 \| good	5.154 \| good	11.049 \| good	26.857 \| good	0.349 \| good	2.763 \| good	0.005 \| good
2025-09-16T21:00:00.000Z	27 \| good	4.689 \| good	11.328 \| good	26.367 \| good	0.349 \| good	3.289 \| good	0.005 \| good
2025-09-16T22:00:00.000Z	27 \| good	4.882 \| good	11.224 \| good	28.153 \| good	0.346 \| good	3.509 \| good	0.004 \| good
2025-09-16T23:00:00.000Z	27 \| good	5.349 \| good	11.583 \| good	26.387 \| good	0.39 \| good	3.242 \| good	0.004 \| good
2025-09-17T00:00:00.000Z	27 \| good	5.084 \| good	11.967 \| good	25.496 \| good	0.405 \| good	8.277 \| good	0.29 \| good
2025-09-17T01:00:00.000Z	22 \| good	4.368 \| good	9.957 \| good	24.107 \| good	0.405 \| good	8.39 \| good	0.339 \| good
2025-09-17T02:00:00.000Z	22 \| good	4.223 \| good	11.573 \| good	22.411 \| good	0.405 \| good	7.038 \| good	0.312 \| good
2025-09-17T03:00:00.000Z	22 \| good	4.388 \| good	11.745 \| good	22.313 \| good	0.406 \| good	7.038 \| good	0.361 \| good
2025-09-17T04:00:00.000Z	22 \| good	4.015 \| good	10.617 \| good	19.419 \| good	0.415 \| good	6.788 \| good	0.37 \| good
2025-09-17T05:00:00.000Z	27 \| good	4.535 \| good	11.921 \| good	21.314 \| good	0.339 \| good	6.714 \| good	0.445 \| good
2025-09-17T06:00:00.000Z	27 \| good	4.898 \| good	9.51 \| good	19.849 \| good	0.34 \| good	6.534 \| good	0.004 \| good
2025-09-17T07:00:00.000Z	27 \| good	4.848 \| good	11.213 \| good	20.402 \| good	0.34 \| good	7.335 \| good	0.004 \| good
2025-09-17T08:00:00.000Z	27 \| good	4.548 \| good	9.795 \| good	20.139 \| good	0.34 \| good	7.948 \| good	0.004 \| good
2025-09-17T09:00:00.000Z	22 \| good	3.758 \| good	12.367 \| good	19.534 \| good	0.34 \| good	7.681 \| good	0.004 \| good
2025-09-17T10:00:00.000Z	22 \| good	3.605 \| good	10.608 \| good	22.087 \| good	0.349 \| good	7.194 \| good	0.004 \| good
2025-09-17T11:00:00.000Z	22 \| good	3.836 \| good	9.736 \| good	20.196 \| good	0.348 \| good	7.469 \| good	0.004 \| good
2025-09-17T12:00:00.000Z	22 \| good	3.596 \| good	9.893 \| good	20.858 \| good	0.419 \| good	7.555 \| good	0.004 \| good
2025-09-17T13:00:00.000Z	22 \| good	3.638 \| good	9.895 \| good	21.147 \| good	0.353 \| good	7.068 \| good	0.004 \| good
2025-09-17T14:00:00.000Z	22 \| good	3.899 \| good	8.862 \| good	21.951 \| good	0.442 \| good	6.267 \| good	0.004 \| good
2025-09-17T15:00:00.000Z	22 \| good	3.581 \| good	10.309 \| good	22.133 \| good	0.444 \| good	6.4 \| good	0.004 \| good
2025-09-17T16:00:00.000Z	22 \| good	3.721 \| good	9.424 \| good	22.882 \| good	0.441 \| good	6.314 \| good	0.004 \| good
2025-09-17T17:00:00.000Z	21 \| good	3.393 \| good	8.489 \| good	23.364 \| good	0.673 \| good	6.267 \| good	0.004 \| good
2025-09-17T18:00:00.000Z	22 \| good	3.527 \| good	8.558 \| good	22.523 \| good	0.442 \| good	6.4 \| good	0.004 \| good
2025-09-17T19:00:00.000Z	22 \| good	3.902 \| good	9.356 \| good	22.817 \| good	0.442 \| good	6.4 \| good	0.004 \| good
2025-09-17T20:00:00.000Z	22 \| good	3.898 \| good	8.194 \| good	22.936 \| good	0.354 \| good	6.4 \| good	0.004 \| good
2025-09-17T21:00:00.000Z	22 \| good	4.34 \| good	8.032 \| good	21.976 \| good	0.36 \| good	6.18 \| good	0.004 \| good
2025-09-17T22:00:00.000Z	22 \| good	3.933 \| good	8.452 \| good	23.776 \| good	0.354 \| good	5.96 \| good	0.003 \| good
2025-09-17T23:00:00.000Z	27 \| good	4.638 \| good	9.001 \| good	22.953 \| good	0.353 \| good	5.827 \| good	0.003 \| good
2025-09-18T00:00:00.000Z	22 \| good	3.003 \| good	6.413 \| good	24.493 \| good	0.382 \| good	3.114 \| good	0.208 \| good
2025-09-18T01:00:00.000Z	23 \| good	3.003 \| good	6.268 \| good	24.695 \| good	0.382 \| good	2.657 \| good	0.154 \| good
2025-09-18T02:00:00.000Z	22 \| good	2.957 \| good	6.113 \| good	24.292 \| good	0.382 \| good	2.338 \| good	0.195 \| good
2025-09-18T03:00:00.000Z	22 \| good	2.957 \| good	6.113 \| good	23.943 \| good	0.382 \| good	2.338 \| good	0.193 \| good
2025-09-18T03:00:00.000Z	24 \| good	2.828 \| good	4.891 \| good	25.766 \| good	0.382 \| good	1.89 \| good	0.195 \| good
2025-09-17T06:00:00.000Z	27 \| good	4.252 \| good	5.98 \| good	28.753 \| good	0.233 \| good	5.891 \| good	0.12 \| good
2025-09-17T07:00:00.000Z	28 \| good	4.165 \| good	6.604 \| good	30.042 \| good	0.243 \| good	8.141 \| good	0.124 \| good
2025-09-17T08:00:00.000Z	29 \| good	4.343 \| good	7.306 \| good	30.863 \| good	0.329 \| good	8.079 \| good	0.126 \| good
2025-09-17T09:00:00.000Z	30 \| good	4.41 \| good	8.419 \| good	32.051 \| good	0.333 \| good	6.812 \| good	0.124 \| good
2025-09-17T10:00:00.000Z	30 \| good	4.551 \| good	9.385 \| good	32.041 \| good	0.276 \| good	5.387 \| good	0.123 \| good
2025-09-17T11:00:00.000Z	31 \| good	4.828 \| good	9.851 \| good	32.531 \| good	0.273 \| good	5.053 \| good	0.122 \| good
2025-09-17T12:00:00.000Z	31 \| good	5.058 \| good	10.021 \| good	32.802 \| good	0.247 \| good	4.899 \| good	0.121 \| good
2025-09-17T13:00:00.000Z	30 \| good	5.178 \| good	9.678 \| good	32.462 \| good	0.249 \| good	4.803 \| good	0.12 \| good
2025-09-17T14:00:00.000Z	30 \| good	5.268 \| good	9.143 \| good	31.859 \| good	0.234 \| good	4.925 \| good	0.12 \| good
2025-09-17T15:00:00.000Z	30 \| good	5.391 \| good	9.294 \| good	31.787 \| good	0.232 \| good	5.272 \| good	0.119 \| good
2025-09-17T16:00:00.000Z	28 \| good	5.347 \| good	9.403 \| good	30.23 \| good	0.219 \| good	6.104 \| good	0.119 \| good
2025-09-17T17:00:00.000Z	27 \| good	5.277 \| good	8.591 \| good	28.851 \| good	0.238 \| good	6.75 \| good	0.12 \| good
2025-09-17T18:00:00.000Z	27 \| good	5.375 \| good	8.682 \| good	28.127 \| good	0.256 \| good	7.352 \| good	0.118 \| good
2025-09-17T19:00:00.000Z	27 \| good	5.341 \| good	8.888 \| good	28.112 \| good	0.255 \| good	6.26 \| good	0.115 \| good
2025-09-17T20:00:00.000Z	27 \| good	5.27 \| good	8.887 \| good	28.46 \| good	0.239 \| good	5.099 \| good	0.113 \| good
2025-09-17T21:00:00.000Z	27 \| good	5.179 \| good	8.537 \| good	28.112 \| good	0.23 \| good	4.429 \| good	0.111 \| good
2025-09-17T22:00:00.000Z	27 \| good	5.146 \| good	8.321 \| good	27.831 \| good	0.195 \| good	4.032 \| good	0.11 \| good
2025-09-17T23:00:00.000Z	27 \| good	5.028 \| good	8.323 \| good	27.547 \| good	0.14 \| good	3.577 \| good	0.108 \| good
2025-09-18T00:00:00.000Z	27 \| good	4.878 \| good	8.752 \| good	26.761 \| good	0.116 \| good	2.821 \| good	0.106 \| good
2025-09-18T01:00:00.000Z	27 \| good	4.625 \| good	9.222 \| good	26.446 \| good	0.094 \| good	2.372 \| good	0.105 \| good
2025-09-18T02:00:00.000Z	24 \| good	4.229 \| good	8.965 \| good	26.061 \| good	0.08 \| good	2.192 \| good	0.102 \| good
2025-09-18T03:00:00.000Z	24 \| good	4.079 \| good	8.44 \| good	26.117 \| good	0.076 \| good	1.959 \| good	0.1 \| good
2025-09-18T04:00:00.000Z	24 \| good	3.929 \| good	6.982 \| good	26.263 \| good	0.083 \| good	1.839 \| good	0.101 \| good
2025-09-18T05:00:00.000Z	24 \| good	3.928 \| good	6.82 \| good	26.184 \| good	0.121 \| good	2.173 \| good	0.101 \| good
2025-09-18T06:00:00.000Z	22 \| good	4.1 \| good	7.596 \| good	24.476 \| good	0.165 \| good	3.824 \| good	0.103 \| good
2025-09-18T07:00:00.000Z	22 \| good	4.204 \| good	8.048 \| good	24.18 \| good	0.199 \| good	6.087 \| good	0.108 \| good
2025-09-18T08:00:00.000Z	23 \| good	3.913 \| good	7.629 \| good	24.807 \| good	0.21 \| good	6.24 \| good	0.109 \| good
2025-09-18T09:00:00.000Z	26 \| good	3.649 \| good	7.012 \| good	27.61 \| good	0.206 \| good	5.311 \| good	0.109 \| good
2025-09-18T10:00:00.000Z	26 \| good	3.373 \| good	6.206 \| good	27.736 \| good	0.195 \| good	4.011 \| good	0.108 \| good
2025-09-18T11:00:00.000Z	27 \| good	3.339 \| good	6.134 \| good	28.593 \| good	0.184 \| good	3.543 \| good	0.107 \| good
2025-09-18T12:00:00.000Z	28 \| good	3.221 \| good	6.079 \| good	29.965 \| good	0.185 \| good	3.193 \| good	0.105 \| good
2025-09-18T13:00:00.000Z	28 \| good	3.256 \| good	6.1 \| good	30.05 \| good	0.185 \| good	3.14 \| good	0.104 \| good
2025-09-18T14:00:00.000Z	28 \| good	3.302 \| good	6.281 \| good	30.235 \| good	0.186 \| good	3.316 \| good	0.105 \| good
2025-09-18T15:00:00.000Z	28 \| good	3.4 \| good	6.812 \| good	29.78 \| good	0.185 \| good	3.846 \| good	0.106 \| good
2025-09-18T16:00:00.000Z	26 \| good	3.562 \| good	7.498 \| good	28.338 \| good	0.185 \| good	4.715 \| good	0.107 \| good
2025-09-18T17:00:00.000Z	25 \| good	3.745 \| good	7.873 \| good	26.701 \| good	0.197 \| good	5.739 \| good	0.109 \| good
2025-09-18T18:00:00.000Z	24 \| good	3.969 \| good	7.066 \| good	26.06 \| good	0.257 \| good	6.521 \| good	0.11 \| good
2025-09-18T19:00:00.000Z	24 \| good	3.402 \| good	7.059 \| good	26.392 \| good	0.276 \| good	6.309 \| good	0.108 \| good
2025-09-18T20:00:00.000Z	25 \| good	3.413 \| good	6.803 \| good	27.112 \| good	0.282 \| good	5.893 \| good	0.106 \| good
2025-09-18T21:00:00.000Z	25 \| good	3.509 \| good	6.532 \| good	26.682 \| good	0.28 \| good	5.305 \| good	0.105 \| good
2025-09-18T22:00:00.000Z	24 \| good	3.522 \| good	6.352 \| good	25.961 \| good	0.272 \| good	4.931 \| good	0.104 \| good
2025-09-18T23:00:00.000Z	25 \| good	3.388 \| good	6.368 \| good	26.538 \| good	0.221 \| good	4.076 \| good	0.104 \| good
2025-09-19T00:00:00.000Z	25 \| good	3.383 \| good	5.939 \| good	26.98 \| good	0.207 \| good	3.515 \| good	0.103 \| good
2025-09-19T01:00:00.000Z	24 \| good	3.419 \| good	5.729 \| good	26.236 \| good	0.182 \| good	2.888 \| good	0.102 \| good
2025-09-19T02:00:00.000Z	25 \| good	3.571 \| good	5.927 \| good	26.771 \| good	0.19 \| good	2.725 \| good	0.103 \| good
2025-09-19T03:00:00.000Z	24 \| good	3.97 \| good	6.458 \| good	26.23 \| good	0.201 \| good	2.729 \| good	0.103 \| good
2025-09-19T04:00:00.000Z	24 \| good	4.36 \| good	6.909 \| good	25.693 \| good	0.226 \| good	2.853 \| good	0.104 \| good
2025-09-19T05:00:00.000Z	27 \| good	4.777 \| good	7.322 \| good	25.058 \| good	0.276 \| good	3.649 \| good	0.105 \| good

Borehamwood

Empower business decisions with accurate air quality data

Borehamwood, Hertfordshire air quality map: Real-time AQI near you

0.37ppm

How accurate is Hertfordshire, UK air quality data?

Air quality measurements for Hertfordshire, 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 Borehamwood, Hertfordshire updated?

Air quality data for Borehamwood, Hertfordshire is updated on an hourly basis.

When did Borehamwood, Hertfordshire experience the worst air quality in the last 24 hours?

The worst air quality in Borehamwood, Hertfordshire was recorded at 06:00:00 on 2025-09-16.

When did Borehamwood, Hertfordshire have its best air quality in the last 24 hours?

The best air quality in Borehamwood, Hertfordshire was recorded at 04:00:00 on 2025-09-17.

What is the real-time air quality index for Borehamwood, Hertfordshire?

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

Which pollutant is found most often in Borehamwood, Hertfordshire?

The most common pollutant in Borehamwood, Hertfordshire is PM2.5.

What can I do if the air quality in Borehamwood, Hertfordshire is poor?

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

What are the current PM_2.5 levels in Borehamwood, Hertfordshire?

The measured PM_2.5 levels in Borehamwood, Hertfordshire at present are 4.218 μg/m³.

What are the current PM₁₀ levels at Borehamwood, Hertfordshire?

The current PM₁₀ levels in Borehamwood, Hertfordshire are 7.388 μg/m³.

What are the current carbon monoxide (CO) levels at Borehamwood, Hertfordshire?

The current carbon monoxide (CO) level in Borehamwood, Hertfordshire is 0.37 ppm.

What are the current sulfur dioxide (SO₂) levels at Borehamwood, Hertfordshire?

The current sulfur dioxide (SO₂) levels in Borehamwood, Hertfordshire are 0.409 ppb.

What are the current ozone (O₃) levels at Borehamwood, Hertfordshire?

The current ozone (O₃) levels at Borehamwood, Hertfordshire is 18.964 ppm.

What are the current nitrogen dioxide (NO₂) levels at Borehamwood, Hertfordshire?

The current nitrogen dioxide (NO₂) levels at Borehamwood, Hertfordshire is 7.12 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-09-16T04:00:00.000Z	27 \| good	5.318 \| good	15.718 \| good	26.585 \| good	0.409 \| good	2.382 \| good	0.364 \| good
2025-09-16T05:00:00.000Z	33 \| good	6.474 \| good	12.576 \| good	26.131 \| good	0.341 \| good	2.056 \| good	0.321 \| good
2025-09-16T06:00:00.000Z	33 \| good	6.244 \| good	15.814 \| good	21.622 \| good	0.342 \| good	2.276 \| good	0.005 \| good
2025-09-16T07:00:00.000Z	33 \| good	5.972 \| good	12.371 \| good	21.334 \| good	0.348 \| good	2.763 \| good	0.005 \| good
2025-09-16T08:00:00.000Z	38 \| good	6.716 \| good	11.964 \| good	22.783 \| good	0.347 \| good	3.289 \| good	0.005 \| good
2025-09-16T09:00:00.000Z	33 \| good	5.553 \| good	13.302 \| good	24.712 \| good	0.443 \| good	3.376 \| good	0.005 \| good
2025-09-16T10:00:00.000Z	27 \| good	5.367 \| good	16.645 \| good	25.229 \| good	0.394 \| good	2.755 \| good	0.005 \| good
2025-09-16T11:00:00.000Z	27 \| good	5.305 \| good	11.935 \| good	22.333 \| good	0.392 \| good	2.921 \| good	0.004 \| good
2025-09-16T12:00:00.000Z	33 \| good	5.804 \| good	12.8 \| good	24.686 \| good	0.378 \| good	2.575 \| good	0.004 \| good
2025-09-16T13:00:00.000Z	33 \| good	5.623 \| good	16.254 \| good	23.38 \| good	0.428 \| good	2.661 \| good	0.004 \| good
2025-09-16T14:00:00.000Z	24 \| good	4.5 \| good	14.515 \| good	25.573 \| good	0.377 \| good	2.488 \| good	0.004 \| good
2025-09-16T15:00:00.000Z	27 \| good	4.826 \| good	13.086 \| good	26.605 \| good	0.391 \| good	2.142 \| good	0.004 \| good
2025-09-16T16:00:00.000Z	27 \| good	5.162 \| good	12.599 \| good	25.768 \| good	0.481 \| good	2.402 \| good	0.004 \| good
2025-09-16T17:00:00.000Z	28 \| good	4.967 \| good	11.618 \| good	29.821 \| good	0.484 \| good	2.189 \| good	0.004 \| good
2025-09-16T18:00:00.000Z	28 \| good	4.783 \| good	13.292 \| good	29.568 \| good	0.365 \| good	2.543 \| good	0.004 \| good
2025-09-16T19:00:00.000Z	27 \| good	5.113 \| good	12.193 \| good	27.389 \| good	0.426 \| good	2.543 \| good	0.005 \| good
2025-09-16T20:00:00.000Z	27 \| good	5.154 \| good	11.049 \| good	26.857 \| good	0.349 \| good	2.763 \| good	0.005 \| good
2025-09-16T21:00:00.000Z	27 \| good	4.689 \| good	11.328 \| good	26.367 \| good	0.349 \| good	3.289 \| good	0.005 \| good
2025-09-16T22:00:00.000Z	27 \| good	4.882 \| good	11.224 \| good	28.153 \| good	0.346 \| good	3.509 \| good	0.004 \| good
2025-09-16T23:00:00.000Z	27 \| good	5.349 \| good	11.583 \| good	26.387 \| good	0.39 \| good	3.242 \| good	0.004 \| good
2025-09-17T00:00:00.000Z	27 \| good	5.084 \| good	11.967 \| good	25.496 \| good	0.405 \| good	8.277 \| good	0.29 \| good
2025-09-17T01:00:00.000Z	22 \| good	4.368 \| good	9.957 \| good	24.107 \| good	0.405 \| good	8.39 \| good	0.339 \| good
2025-09-17T02:00:00.000Z	22 \| good	4.223 \| good	11.573 \| good	22.411 \| good	0.405 \| good	7.038 \| good	0.312 \| good
2025-09-17T03:00:00.000Z	22 \| good	4.388 \| good	11.745 \| good	22.313 \| good	0.406 \| good	7.038 \| good	0.361 \| good
2025-09-17T04:00:00.000Z	22 \| good	4.015 \| good	10.617 \| good	19.419 \| good	0.415 \| good	6.788 \| good	0.37 \| good
2025-09-17T05:00:00.000Z	27 \| good	4.535 \| good	11.921 \| good	21.314 \| good	0.339 \| good	6.714 \| good	0.445 \| good
2025-09-17T06:00:00.000Z	27 \| good	4.898 \| good	9.51 \| good	19.849 \| good	0.34 \| good	6.534 \| good	0.004 \| good
2025-09-17T07:00:00.000Z	27 \| good	4.848 \| good	11.213 \| good	20.402 \| good	0.34 \| good	7.335 \| good	0.004 \| good
2025-09-17T08:00:00.000Z	27 \| good	4.548 \| good	9.795 \| good	20.139 \| good	0.34 \| good	7.948 \| good	0.004 \| good
2025-09-17T09:00:00.000Z	22 \| good	3.758 \| good	12.367 \| good	19.534 \| good	0.34 \| good	7.681 \| good	0.004 \| good
2025-09-17T10:00:00.000Z	22 \| good	3.605 \| good	10.608 \| good	22.087 \| good	0.349 \| good	7.194 \| good	0.004 \| good
2025-09-17T11:00:00.000Z	22 \| good	3.836 \| good	9.736 \| good	20.196 \| good	0.348 \| good	7.469 \| good	0.004 \| good
2025-09-17T12:00:00.000Z	22 \| good	3.596 \| good	9.893 \| good	20.858 \| good	0.419 \| good	7.555 \| good	0.004 \| good
2025-09-17T13:00:00.000Z	22 \| good	3.638 \| good	9.895 \| good	21.147 \| good	0.353 \| good	7.068 \| good	0.004 \| good
2025-09-17T14:00:00.000Z	22 \| good	3.899 \| good	8.862 \| good	21.951 \| good	0.442 \| good	6.267 \| good	0.004 \| good
2025-09-17T15:00:00.000Z	22 \| good	3.581 \| good	10.309 \| good	22.133 \| good	0.444 \| good	6.4 \| good	0.004 \| good
2025-09-17T16:00:00.000Z	22 \| good	3.721 \| good	9.424 \| good	22.882 \| good	0.441 \| good	6.314 \| good	0.004 \| good
2025-09-17T17:00:00.000Z	21 \| good	3.393 \| good	8.489 \| good	23.364 \| good	0.673 \| good	6.267 \| good	0.004 \| good
2025-09-17T18:00:00.000Z	22 \| good	3.527 \| good	8.558 \| good	22.523 \| good	0.442 \| good	6.4 \| good	0.004 \| good
2025-09-17T19:00:00.000Z	22 \| good	3.902 \| good	9.356 \| good	22.817 \| good	0.442 \| good	6.4 \| good	0.004 \| good
2025-09-17T20:00:00.000Z	22 \| good	3.898 \| good	8.194 \| good	22.936 \| good	0.354 \| good	6.4 \| good	0.004 \| good
2025-09-17T21:00:00.000Z	22 \| good	4.34 \| good	8.032 \| good	21.976 \| good	0.36 \| good	6.18 \| good	0.004 \| good
2025-09-17T22:00:00.000Z	22 \| good	3.933 \| good	8.452 \| good	23.776 \| good	0.354 \| good	5.96 \| good	0.003 \| good
2025-09-17T23:00:00.000Z	27 \| good	4.638 \| good	9.001 \| good	22.953 \| good	0.353 \| good	5.827 \| good	0.003 \| good
2025-09-18T00:00:00.000Z	22 \| good	3.003 \| good	6.413 \| good	24.493 \| good	0.382 \| good	3.114 \| good	0.208 \| good
2025-09-18T01:00:00.000Z	23 \| good	3.003 \| good	6.268 \| good	24.695 \| good	0.382 \| good	2.657 \| good	0.154 \| good
2025-09-18T02:00:00.000Z	22 \| good	2.957 \| good	6.113 \| good	24.292 \| good	0.382 \| good	2.338 \| good	0.195 \| good
2025-09-18T03:00:00.000Z	22 \| good	2.957 \| good	6.113 \| good	23.943 \| good	0.382 \| good	2.338 \| good	0.193 \| good
2025-09-18T03:00:00.000Z	24 \| good	2.828 \| good	4.891 \| good	25.766 \| good	0.382 \| good	1.89 \| good	0.195 \| good
2025-09-17T06:00:00.000Z	27 \| good	4.252 \| good	5.98 \| good	28.753 \| good	0.233 \| good	5.891 \| good	0.12 \| good
2025-09-17T07:00:00.000Z	28 \| good	4.165 \| good	6.604 \| good	30.042 \| good	0.243 \| good	8.141 \| good	0.124 \| good
2025-09-17T08:00:00.000Z	29 \| good	4.343 \| good	7.306 \| good	30.863 \| good	0.329 \| good	8.079 \| good	0.126 \| good
2025-09-17T09:00:00.000Z	30 \| good	4.41 \| good	8.419 \| good	32.051 \| good	0.333 \| good	6.812 \| good	0.124 \| good
2025-09-17T10:00:00.000Z	30 \| good	4.551 \| good	9.385 \| good	32.041 \| good	0.276 \| good	5.387 \| good	0.123 \| good
2025-09-17T11:00:00.000Z	31 \| good	4.828 \| good	9.851 \| good	32.531 \| good	0.273 \| good	5.053 \| good	0.122 \| good
2025-09-17T12:00:00.000Z	31 \| good	5.058 \| good	10.021 \| good	32.802 \| good	0.247 \| good	4.899 \| good	0.121 \| good
2025-09-17T13:00:00.000Z	30 \| good	5.178 \| good	9.678 \| good	32.462 \| good	0.249 \| good	4.803 \| good	0.12 \| good
2025-09-17T14:00:00.000Z	30 \| good	5.268 \| good	9.143 \| good	31.859 \| good	0.234 \| good	4.925 \| good	0.12 \| good
2025-09-17T15:00:00.000Z	30 \| good	5.391 \| good	9.294 \| good	31.787 \| good	0.232 \| good	5.272 \| good	0.119 \| good
2025-09-17T16:00:00.000Z	28 \| good	5.347 \| good	9.403 \| good	30.23 \| good	0.219 \| good	6.104 \| good	0.119 \| good
2025-09-17T17:00:00.000Z	27 \| good	5.277 \| good	8.591 \| good	28.851 \| good	0.238 \| good	6.75 \| good	0.12 \| good
2025-09-17T18:00:00.000Z	27 \| good	5.375 \| good	8.682 \| good	28.127 \| good	0.256 \| good	7.352 \| good	0.118 \| good
2025-09-17T19:00:00.000Z	27 \| good	5.341 \| good	8.888 \| good	28.112 \| good	0.255 \| good	6.26 \| good	0.115 \| good
2025-09-17T20:00:00.000Z	27 \| good	5.27 \| good	8.887 \| good	28.46 \| good	0.239 \| good	5.099 \| good	0.113 \| good
2025-09-17T21:00:00.000Z	27 \| good	5.179 \| good	8.537 \| good	28.112 \| good	0.23 \| good	4.429 \| good	0.111 \| good
2025-09-17T22:00:00.000Z	27 \| good	5.146 \| good	8.321 \| good	27.831 \| good	0.195 \| good	4.032 \| good	0.11 \| good
2025-09-17T23:00:00.000Z	27 \| good	5.028 \| good	8.323 \| good	27.547 \| good	0.14 \| good	3.577 \| good	0.108 \| good
2025-09-18T00:00:00.000Z	27 \| good	4.878 \| good	8.752 \| good	26.761 \| good	0.116 \| good	2.821 \| good	0.106 \| good
2025-09-18T01:00:00.000Z	27 \| good	4.625 \| good	9.222 \| good	26.446 \| good	0.094 \| good	2.372 \| good	0.105 \| good
2025-09-18T02:00:00.000Z	24 \| good	4.229 \| good	8.965 \| good	26.061 \| good	0.08 \| good	2.192 \| good	0.102 \| good
2025-09-18T03:00:00.000Z	24 \| good	4.079 \| good	8.44 \| good	26.117 \| good	0.076 \| good	1.959 \| good	0.1 \| good
2025-09-18T04:00:00.000Z	24 \| good	3.929 \| good	6.982 \| good	26.263 \| good	0.083 \| good	1.839 \| good	0.101 \| good
2025-09-18T05:00:00.000Z	24 \| good	3.928 \| good	6.82 \| good	26.184 \| good	0.121 \| good	2.173 \| good	0.101 \| good
2025-09-18T06:00:00.000Z	22 \| good	4.1 \| good	7.596 \| good	24.476 \| good	0.165 \| good	3.824 \| good	0.103 \| good
2025-09-18T07:00:00.000Z	22 \| good	4.204 \| good	8.048 \| good	24.18 \| good	0.199 \| good	6.087 \| good	0.108 \| good
2025-09-18T08:00:00.000Z	23 \| good	3.913 \| good	7.629 \| good	24.807 \| good	0.21 \| good	6.24 \| good	0.109 \| good
2025-09-18T09:00:00.000Z	26 \| good	3.649 \| good	7.012 \| good	27.61 \| good	0.206 \| good	5.311 \| good	0.109 \| good
2025-09-18T10:00:00.000Z	26 \| good	3.373 \| good	6.206 \| good	27.736 \| good	0.195 \| good	4.011 \| good	0.108 \| good
2025-09-18T11:00:00.000Z	27 \| good	3.339 \| good	6.134 \| good	28.593 \| good	0.184 \| good	3.543 \| good	0.107 \| good
2025-09-18T12:00:00.000Z	28 \| good	3.221 \| good	6.079 \| good	29.965 \| good	0.185 \| good	3.193 \| good	0.105 \| good
2025-09-18T13:00:00.000Z	28 \| good	3.256 \| good	6.1 \| good	30.05 \| good	0.185 \| good	3.14 \| good	0.104 \| good
2025-09-18T14:00:00.000Z	28 \| good	3.302 \| good	6.281 \| good	30.235 \| good	0.186 \| good	3.316 \| good	0.105 \| good
2025-09-18T15:00:00.000Z	28 \| good	3.4 \| good	6.812 \| good	29.78 \| good	0.185 \| good	3.846 \| good	0.106 \| good
2025-09-18T16:00:00.000Z	26 \| good	3.562 \| good	7.498 \| good	28.338 \| good	0.185 \| good	4.715 \| good	0.107 \| good
2025-09-18T17:00:00.000Z	25 \| good	3.745 \| good	7.873 \| good	26.701 \| good	0.197 \| good	5.739 \| good	0.109 \| good
2025-09-18T18:00:00.000Z	24 \| good	3.969 \| good	7.066 \| good	26.06 \| good	0.257 \| good	6.521 \| good	0.11 \| good
2025-09-18T19:00:00.000Z	24 \| good	3.402 \| good	7.059 \| good	26.392 \| good	0.276 \| good	6.309 \| good	0.108 \| good
2025-09-18T20:00:00.000Z	25 \| good	3.413 \| good	6.803 \| good	27.112 \| good	0.282 \| good	5.893 \| good	0.106 \| good
2025-09-18T21:00:00.000Z	25 \| good	3.509 \| good	6.532 \| good	26.682 \| good	0.28 \| good	5.305 \| good	0.105 \| good
2025-09-18T22:00:00.000Z	24 \| good	3.522 \| good	6.352 \| good	25.961 \| good	0.272 \| good	4.931 \| good	0.104 \| good
2025-09-18T23:00:00.000Z	25 \| good	3.388 \| good	6.368 \| good	26.538 \| good	0.221 \| good	4.076 \| good	0.104 \| good
2025-09-19T00:00:00.000Z	25 \| good	3.383 \| good	5.939 \| good	26.98 \| good	0.207 \| good	3.515 \| good	0.103 \| good
2025-09-19T01:00:00.000Z	24 \| good	3.419 \| good	5.729 \| good	26.236 \| good	0.182 \| good	2.888 \| good	0.102 \| good
2025-09-19T02:00:00.000Z	25 \| good	3.571 \| good	5.927 \| good	26.771 \| good	0.19 \| good	2.725 \| good	0.103 \| good
2025-09-19T03:00:00.000Z	24 \| good	3.97 \| good	6.458 \| good	26.23 \| good	0.201 \| good	2.729 \| good	0.103 \| good
2025-09-19T04:00:00.000Z	24 \| good	4.36 \| good	6.909 \| good	25.693 \| good	0.226 \| good	2.853 \| good	0.104 \| good
2025-09-19T05:00:00.000Z	27 \| good	4.777 \| good	7.322 \| good	25.058 \| good	0.276 \| good	3.649 \| good	0.105 \| good

Real-time air quality index in Borehamwood, Hertfordshire today

Common air pollutants in Borehamwood, Hertfordshire

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Borehamwood, Hertfordshire air quality forecast and history

Empower business decisions with accurate air quality data

Borehamwood, Hertfordshire air quality map: Real-time AQI near you

Air quality in nearby cities

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Potters Bar, Hertfordshire

Watford, Hertfordshire

St Albans, Hertfordshire

Abbots Langley, Hertfordshire

Hatfield, Hertfordshire

How accurate is Hertfordshire, UK air quality data?

Air quality levels in UK

Frequently asked questions

How frequently is the air quality data for Borehamwood, Hertfordshire updated?

When did Borehamwood, Hertfordshire experience the worst air quality in the last 24 hours?

When did Borehamwood, Hertfordshire have its best air quality in the last 24 hours?

What is the real-time air quality index for Borehamwood, Hertfordshire?

Which pollutant is found most often in Borehamwood, Hertfordshire?

What can I do if the air quality in Borehamwood, Hertfordshire is poor?

What are the current PM2.5 levels in Borehamwood, Hertfordshire?

What are the current PM10 levels at Borehamwood, Hertfordshire?

What are the current carbon monoxide (CO) levels at Borehamwood, Hertfordshire?

What are the current sulfur dioxide (SO2) levels at Borehamwood, Hertfordshire?

What are the current ozone (O3) levels at Borehamwood, Hertfordshire?

What are the current nitrogen dioxide (NO2) levels at Borehamwood, Hertfordshire?

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 Borehamwood, Hertfordshire?

What are the current PM₁₀ levels at Borehamwood, Hertfordshire?

What are the current sulfur dioxide (SO₂) levels at Borehamwood, Hertfordshire?

What are the current ozone (O₃) levels at Borehamwood, Hertfordshire?

What are the current nitrogen dioxide (NO₂) levels at Borehamwood, Hertfordshire?