What is the current concentration of PM10 in Abbots Langley, Hertfordshire?

The current PM10 concentration at Abbots Langley, Hertfordshire is 24.149 μg/m3.

What is the current concentration of sulfur dioxide (SO2) in Abbots Langley, Hertfordshire?

The current sulfur dioxide (SO2) concentration at Abbots Langley, Hertfordshire is 1.166 ppb.

What is the current concentration of ozone (O3) in Abbots Langley, Hertfordshire?

The current ozone (O3) concentration at Abbots Langley, Hertfordshire is 18.033 ppm.

What is the current concentration of nitrogen dioxide (NO2) in Abbots Langley, Hertfordshire?

The current nitrogen dioxide (NO2) concentration at Abbots Langley, Hertfordshire is 6.41 ppb.

Abbots Langley, Hertfordshire live air quality index now

Q: What is the current concentration of PM2.5 in Abbots Langley, Hertfordshire?

The current PM2.5 concentration at Abbots Langley, Hertfordshire is 6.453 μg/m3.

Stay updated with real-time air quality in Abbots Langley, 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

Abbots Langley, Hertfordshire

Last updated: ... (Local time)

Major air pollutants in Abbots Langley, Hertfordshire

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

2.96 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

12.32 μg/m³

155

255

425

605+

Ozone (O₃)

20.74 ppb

201

201+

Sulfur Dioxide (SO₂)

1.42 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

5.03 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.30 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

Abbots Langley, Hertfordshire

Get Live Pollen Counts

Abbots Langley, Hertfordshire

Scroll To Air Quality Map

Track live Abbots Langley, Hertfordshire air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-11-06T05:00:00.000Z	38 \| good	6.628 \| good	9.242 \| good	24.206 \| good	0.357 \| good	4.254 \| good	0.118 \| good
2025-11-06T06:00:00.000Z	44 \| good	7.793 \| good	25.776 \| good	15.163 \| good	0.53 \| good	6.074 \| good	0.009 \| good
2025-11-06T07:00:00.000Z	44 \| good	7.746 \| good	22.527 \| good	15.882 \| good	0.849 \| good	4.647 \| good	0.603 \| good
2025-11-06T08:00:00.000Z	38 \| good	7.244 \| good	28.636 \| good	14.452 \| good	0.533 \| good	12.738 \| good	0.011 \| good
2025-11-06T09:00:00.000Z	38 \| good	7.233 \| good	25.927 \| good	14.279 \| good	1.023 \| good	17.38 \| good	0.514 \| good
2025-11-06T10:00:00.000Z	44 \| good	8.034 \| good	25.846 \| good	19.122 \| good	0.68 \| good	12.247 \| good	0.008 \| good
2025-11-06T11:00:00.000Z	44 \| good	7.608 \| good	25.529 \| good	18.133 \| good	0.605 \| good	15.855 \| good	0.009 \| good
2025-11-06T12:00:00.000Z	38 \| good	7.14 \| good	23.802 \| good	9.509 \| good	0.627 \| good	18.478 \| good	0.005 \| good
2025-11-06T13:00:00.000Z	44 \| good	7.57 \| good	18.786 \| good	8.226 \| good	0.577 \| good	18.806 \| good	0.005 \| good
2025-11-06T14:00:00.000Z	38 \| good	6.934 \| good	16.826 \| good	9.67 \| good	0.914 \| good	13.31 \| good	0.005 \| good
2025-11-06T15:00:00.000Z	27 \| good	5.457 \| good	20.675 \| good	10.032 \| good	0.901 \| good	10.525 \| good	0.006 \| good
2025-11-06T16:00:00.000Z	33 \| good	6.286 \| good	30.023 \| good	13.372 \| good	0.854 \| good	13.635 \| good	0.008 \| good
2025-11-06T17:00:00.000Z	33 \| good	5.96 \| good	18.44 \| good	20.994 \| good	0.574 \| good	12.853 \| good	0.014 \| good
2025-11-06T18:00:00.000Z	44 \| good	7.794 \| good	24.2 \| good	20.618 \| good	0.854 \| good	19.691 \| good	0.02 \| good
2025-11-06T19:00:00.000Z	44 \| good	7.712 \| good	22.906 \| good	16.488 \| good	0.848 \| good	20.337 \| good	0.016 \| good
2025-11-06T20:00:00.000Z	44 \| good	8.005 \| good	28.342 \| good	16.112 \| good	0.634 \| good	24.159 \| good	0.018 \| good
2025-11-06T21:00:00.000Z	49 \| good	9.42 \| good	14.916 \| good	16.891 \| good	0.751 \| good	13.17 \| good	0.015 \| good
2025-11-06T22:00:00.000Z	38 \| good	6.86 \| good	17.8 \| good	18.639 \| good	0.976 \| good	16.55 \| good	0.018 \| good
2025-11-06T23:00:00.000Z	33 \| good	6.494 \| good	22.282 \| good	20.127 \| good	0.761 \| good	20.355 \| good	0.019 \| good
2025-11-07T00:00:00.000Z	38 \| good	7.481 \| good	31.389 \| good	12.685 \| good	1.192 \| good	12.817 \| good	0.553 \| good
2025-11-07T01:00:00.000Z	38 \| good	6.636 \| good	15.685 \| good	8.912 \| good	1.388 \| good	11.502 \| good	0.485 \| good
2025-11-07T02:00:00.000Z	52 \| moderate	10.321 \| good	21.242 \| good	13.048 \| good	1.012 \| good	12.216 \| good	0.441 \| good
2025-11-07T03:00:00.000Z	44 \| good	8.08 \| good	22.406 \| good	13.063 \| good	1.281 \| good	12.325 \| good	0.401 \| good
2025-11-07T04:00:00.000Z	49 \| good	8.999 \| good	36.795 \| good	15.039 \| good	1.648 \| good	12.191 \| good	0.34 \| good
2025-11-07T05:00:00.000Z	52 \| moderate	10.345 \| good	36.328 \| good	11.875 \| good	1.394 \| good	9.663 \| good	0.338 \| good
2025-11-07T06:00:00.000Z	52 \| moderate	9.54 \| good	18.452 \| good	9.241 \| good	0.44 \| good	15.809 \| good	0.007 \| good
2025-11-07T07:00:00.000Z	44 \| good	7.718 \| good	33.097 \| good	11.857 \| good	0.596 \| good	9.791 \| good	0.011 \| good
2025-11-07T08:00:00.000Z	44 \| good	8.149 \| good	32.549 \| good	13.477 \| good	0.442 \| good	6.353 \| good	0.009 \| good
2025-11-07T09:00:00.000Z	54 \| moderate	11.457 \| good	13.268 \| good	9.963 \| good	0.929 \| good	18.122 \| good	0.156 \| good
2025-11-07T10:00:00.000Z	52 \| moderate	9.796 \| good	11.686 \| good	13.424 \| good	0.917 \| good	16.546 \| good	0.148 \| good
2025-11-07T11:00:00.000Z	44 \| good	8.244 \| good	10.373 \| good	15.112 \| good	0.834 \| good	12.419 \| good	0.145 \| good
2025-11-07T12:00:00.000Z	44 \| good	7.824 \| good	10.033 \| good	17.054 \| good	0.698 \| good	11.03 \| good	0.138 \| good
2025-11-07T13:00:00.000Z	52 \| moderate	10.313 \| good	27.92 \| good	19.173 \| good	0.495 \| good	13.223 \| good	0.007 \| good
2025-11-07T14:00:00.000Z	54 \| moderate	10.806 \| good	19.341 \| good	14.226 \| good	0.493 \| good	13.863 \| good	0.01 \| good
2025-11-07T15:00:00.000Z	38 \| good	6.686 \| good	19.6 \| good	12.001 \| good	0.498 \| good	8.011 \| good	0.01 \| good
2025-11-07T16:00:00.000Z	49 \| good	8.883 \| good	21.266 \| good	14.998 \| good	0.625 \| good	11.517 \| good	0.011 \| good
2025-11-07T17:00:00.000Z	44 \| good	8.26 \| good	28.945 \| good	15.686 \| good	0.557 \| good	12.109 \| good	0.012 \| good
2025-11-07T18:00:00.000Z	52 \| moderate	9.66 \| good	28.694 \| good	18.955 \| good	1.689 \| good	12.247 \| good	0.015 \| good
2025-11-07T19:00:00.000Z	54 \| moderate	10.845 \| good	31.914 \| good	20.688 \| good	0.64 \| good	12.075 \| good	0.019 \| good
2025-11-07T20:00:00.000Z	49 \| good	9.428 \| good	29.671 \| good	20.885 \| good	0.551 \| good	17.574 \| good	0.018 \| good
2025-11-07T21:00:00.000Z	44 \| good	7.96 \| good	36.845 \| good	21.441 \| good	0.483 \| good	17.638 \| good	0.017 \| good
2025-11-07T22:00:00.000Z	49 \| good	8.759 \| good	29.216 \| good	20.952 \| good	0.498 \| good	11.617 \| good	0.02 \| good
2025-11-07T23:00:00.000Z	49 \| good	9.264 \| good	23.62 \| good	19.669 \| good	0.41 \| good	10.426 \| good	0.027 \| good
2025-11-08T00:00:00.000Z	49 \| good	8.526 \| good	31.209 \| good	23.677 \| good	1.437 \| good	10.927 \| good	0.861 \| good
2025-11-08T01:00:00.000Z	33 \| good	6.451 \| good	14.906 \| good	22.059 \| good	1.609 \| good	7.265 \| good	0.441 \| good
2025-11-08T02:00:00.000Z	33 \| good	6.453 \| good	24.149 \| good	18.033 \| good	1.166 \| good	6.41 \| good	0.332 \| good
2025-11-08T03:00:00.000Z	19 \| good	2.961 \| good	12.317 \| good	20.74 \| good	1.418 \| good	5.031 \| good	0.296 \| good
2025-11-08T04:00:00.000Z	19 \| good	2.961 \| good	12.317 \| good	20.74 \| good	1.418 \| good	5.031 \| good	0.296 \| good
2025-11-08T04:00:00.000Z	33 \| good	6.246 \| good	9.439 \| good	24.724 \| good	0.253 \| good	3.686 \| good	0.111 \| good
2025-11-08T05:00:00.000Z	33 \| good	6.276 \| good	8.681 \| good	24.359 \| good	0.246 \| good	3.277 \| good	0.113 \| good
2025-11-08T06:00:00.000Z	33 \| good	6.281 \| good	9.021 \| good	23.529 \| good	0.292 \| good	3.322 \| good	0.116 \| good
2025-11-08T07:00:00.000Z	38 \| good	6.607 \| good	9.783 \| good	23.155 \| good	0.418 \| good	4.072 \| good	0.12 \| good
2025-11-08T08:00:00.000Z	38 \| good	6.75 \| good	10.281 \| good	22.291 \| good	0.489 \| good	4.969 \| good	0.127 \| good
2025-11-08T09:00:00.000Z	38 \| good	6.589 \| good	10.246 \| good	22.705 \| good	0.464 \| good	5.185 \| good	0.13 \| good
2025-11-08T10:00:00.000Z	33 \| good	5.872 \| good	9.354 \| good	25.599 \| good	0.401 \| good	4.673 \| good	0.127 \| good
2025-11-08T11:00:00.000Z	27 \| good	4.542 \| good	7.982 \| good	26.939 \| good	0.327 \| good	4.461 \| good	0.125 \| good
2025-11-08T12:00:00.000Z	26 \| good	4.285 \| good	7.434 \| good	28.437 \| good	0.281 \| good	4.084 \| good	0.122 \| good
2025-11-08T13:00:00.000Z	27 \| good	4.523 \| good	7.013 \| good	29.02 \| good	0.259 \| good	4.062 \| good	0.121 \| good
2025-11-08T14:00:00.000Z	29 \| good	4.028 \| good	7.709 \| good	30.528 \| good	0.267 \| good	4.146 \| good	0.122 \| good
2025-11-08T15:00:00.000Z	27 \| good	4.334 \| good	8.713 \| good	29.478 \| good	0.316 \| good	4.667 \| good	0.124 \| good
2025-11-08T16:00:00.000Z	27 \| good	5.417 \| good	9.097 \| good	26.544 \| good	0.416 \| good	6.722 \| good	0.13 \| good
2025-11-08T17:00:00.000Z	38 \| good	6.89 \| good	11.155 \| good	22.744 \| good	0.564 \| good	10.335 \| good	0.137 \| good
2025-11-08T18:00:00.000Z	49 \| good	8.52 \| good	12.765 \| good	17.633 \| good	0.617 \| good	13.281 \| good	0.147 \| good
2025-11-08T19:00:00.000Z	52 \| moderate	9.993 \| good	14.39 \| good	17.159 \| good	0.732 \| good	14.139 \| good	0.156 \| good
2025-11-08T20:00:00.000Z	54 \| moderate	11.283 \| good	15.703 \| good	15.092 \| good	0.82 \| good	13.992 \| good	0.157 \| good
2025-11-08T21:00:00.000Z	56 \| moderate	12.084 \| good	16.739 \| good	14.485 \| good	0.857 \| good	13.748 \| good	0.159 \| good
2025-11-08T22:00:00.000Z	56 \| moderate	12.293 \| fine	16.719 \| good	12.087 \| good	0.863 \| good	14.332 \| good	0.163 \| good
2025-11-08T23:00:00.000Z	58 \| moderate	12.79 \| fine	16.84 \| good	11.244 \| good	0.817 \| good	13.851 \| good	0.164 \| good
2025-11-09T00:00:00.000Z	58 \| moderate	13.391 \| fine	16.667 \| good	12.185 \| good	0.704 \| good	13.125 \| good	0.165 \| good
2025-11-09T01:00:00.000Z	56 \| moderate	12.485 \| fine	16.418 \| good	13.152 \| good	0.638 \| good	12.619 \| good	0.159 \| good
2025-11-09T02:00:00.000Z	54 \| moderate	11.393 \| good	14.544 \| good	13.23 \| good	0.489 \| good	11.705 \| good	0.152 \| good
2025-11-09T03:00:00.000Z	54 \| moderate	10.985 \| good	14.248 \| good	12.401 \| good	0.393 \| good	11.191 \| good	0.148 \| good
2025-11-09T04:00:00.000Z	54 \| moderate	10.825 \| good	14.818 \| good	12.381 \| good	0.326 \| good	10.58 \| good	0.146 \| good
2025-11-09T05:00:00.000Z	54 \| moderate	10.959 \| good	14.675 \| good	11.718 \| good	0.321 \| good	9.088 \| good	0.142 \| good
2025-11-09T06:00:00.000Z	54 \| moderate	10.903 \| good	13.637 \| good	12.398 \| good	0.347 \| good	8.907 \| good	0.137 \| good
2025-11-09T07:00:00.000Z	54 \| moderate	10.802 \| good	13.208 \| good	13.562 \| good	0.483 \| good	9.69 \| good	0.137 \| good
2025-11-09T08:00:00.000Z	54 \| moderate	10.691 \| good	13.999 \| good	15.6 \| good	0.625 \| good	11.444 \| good	0.14 \| good
2025-11-09T09:00:00.000Z	52 \| moderate	10.163 \| good	15.835 \| good	17.555 \| good	0.78 \| good	10.722 \| good	0.144 \| good
2025-11-09T10:00:00.000Z	49 \| good	9.125 \| good	13.674 \| good	19.694 \| good	0.805 \| good	9.781 \| good	0.141 \| good
2025-11-09T11:00:00.000Z	44 \| good	8.305 \| good	13.053 \| good	23 \| good	0.691 \| good	9.029 \| good	0.137 \| good
2025-11-09T12:00:00.000Z	33 \| good	6.484 \| good	11.072 \| good	25.737 \| good	0.535 \| good	7.444 \| good	0.126 \| good
2025-11-09T13:00:00.000Z	33 \| good	5.675 \| good	9.079 \| good	26.882 \| good	0.412 \| good	6.562 \| good	0.121 \| good
2025-11-09T14:00:00.000Z	29 \| good	4.751 \| good	7.232 \| good	30.786 \| good	0.344 \| good	4.833 \| good	0.119 \| good
2025-11-09T15:00:00.000Z	30 \| good	4.826 \| good	7.744 \| good	31.511 \| good	0.33 \| good	5.405 \| good	0.119 \| good
2025-11-09T16:00:00.000Z	28 \| good	5.079 \| good	8.455 \| good	29.883 \| good	0.371 \| good	6.497 \| good	0.121 \| good
2025-11-09T17:00:00.000Z	27 \| good	5.314 \| good	7.936 \| good	28.498 \| good	0.472 \| good	8.085 \| good	0.126 \| good
2025-11-09T18:00:00.000Z	33 \| good	5.992 \| good	8.512 \| good	26.953 \| good	0.507 \| good	8.588 \| good	0.131 \| good
2025-11-09T19:00:00.000Z	38 \| good	7.088 \| good	9.264 \| good	26.751 \| good	0.515 \| good	8.467 \| good	0.13 \| good
2025-11-09T20:00:00.000Z	33 \| good	6.479 \| good	9.309 \| good	27.959 \| good	0.516 \| good	7.425 \| good	0.125 \| good
2025-11-09T21:00:00.000Z	33 \| good	6.442 \| good	9.727 \| good	29.08 \| good	0.483 \| good	6.047 \| good	0.122 \| good
2025-11-09T22:00:00.000Z	33 \| good	5.923 \| good	8.719 \| good	29.954 \| good	0.393 \| good	5.133 \| good	0.12 \| good
2025-11-09T23:00:00.000Z	29 \| good	5.406 \| good	7.955 \| good	30.511 \| good	0.311 \| good	4.378 \| good	0.118 \| good
2025-11-10T00:00:00.000Z	29 \| good	5.061 \| good	7.185 \| good	30.787 \| good	0.206 \| good	3.969 \| good	0.119 \| good
2025-11-10T01:00:00.000Z	28 \| good	4.799 \| good	7.071 \| good	30.069 \| good	0.205 \| good	3.362 \| good	0.119 \| good
2025-11-10T02:00:00.000Z	27 \| good	4.716 \| good	6.796 \| good	29.372 \| good	0.201 \| good	2.812 \| good	0.117 \| good
2025-11-10T03:00:00.000Z	27 \| good	4.796 \| good	6.366 \| good	29.265 \| good	0.21 \| good	2.553 \| good	0.115 \| good

Abbots Langley

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Abbots Langley, Hertfordshire air quality map: Track AQI near you

0.33ppm

How accurate is Hertfordshire, UK air quality data?

Air quality data and pollutant measurements for Hertfordshire, 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 Abbots Langley, Hertfordshire updated?

The air quality for Abbots Langley, Hertfordshire is updated every hour.

When was the worst air quality at Abbots Langley, Hertfordshire in the last 24 hrs?

The worst air quality in Abbots Langley, Hertfordshire in the last 24 hours was observed at 07:00:00 on 2025-11-07.

When was the best air quality at Abbots Langley, Hertfordshire in the last 24 hrs?

In the last 24 hrs, the best air quality in Abbots Langley, Hertfordshire was observed at 02:00:00 on 2025-11-08.

What is the current air quality in Abbots Langley, Hertfordshire?

The current air quality in Abbots Langley, Hertfordshire is 33, categorized as Good based on real-time data.

What pollutant is the most common in Abbots Langley, Hertfordshire?

The most common pollutant in Abbots Langley, Hertfordshire is PM2.5.

What should I do if the air quality in Abbots Langley, Hertfordshire is poor?

If the air quality in Abbots Langley, Hertfordshire is poor, consider staying indoors and wearing a mask to protect yourself.

What is the current concentration of PM_2.5 in Abbots Langley, Hertfordshire?

The current PM_2.5 concentration at Abbots Langley, Hertfordshire is 6.453 μg/m³.

What is the current concentration of PM₁₀ in Abbots Langley, Hertfordshire?

The current PM₁₀ concentration at Abbots Langley, Hertfordshire is 24.149 μg/m³.

What is the current concentration of carbon monoxide (CO) in Abbots Langley, Hertfordshire?

The current carbon monoxide (CO) concentration at Abbots Langley, Hertfordshire is 0.332 ppm.

What is the current concentration of sulfur dioxide (SO₂) in Abbots Langley, Hertfordshire?

The current sulfur dioxide (SO₂) concentration at Abbots Langley, Hertfordshire is 1.166 ppb.

What is the current concentration of ozone (O₃) in Abbots Langley, Hertfordshire?

The current ozone (O₃) concentration at Abbots Langley, Hertfordshire is 18.033 ppm.

What is the current concentration of nitrogen dioxide (NO₂) in Abbots Langley, Hertfordshire?

The current nitrogen dioxide (NO₂) concentration at Abbots Langley, Hertfordshire is 6.41 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-11-06T05:00:00.000Z	38 \| good	6.628 \| good	9.242 \| good	24.206 \| good	0.357 \| good	4.254 \| good	0.118 \| good
2025-11-06T06:00:00.000Z	44 \| good	7.793 \| good	25.776 \| good	15.163 \| good	0.53 \| good	6.074 \| good	0.009 \| good
2025-11-06T07:00:00.000Z	44 \| good	7.746 \| good	22.527 \| good	15.882 \| good	0.849 \| good	4.647 \| good	0.603 \| good
2025-11-06T08:00:00.000Z	38 \| good	7.244 \| good	28.636 \| good	14.452 \| good	0.533 \| good	12.738 \| good	0.011 \| good
2025-11-06T09:00:00.000Z	38 \| good	7.233 \| good	25.927 \| good	14.279 \| good	1.023 \| good	17.38 \| good	0.514 \| good
2025-11-06T10:00:00.000Z	44 \| good	8.034 \| good	25.846 \| good	19.122 \| good	0.68 \| good	12.247 \| good	0.008 \| good
2025-11-06T11:00:00.000Z	44 \| good	7.608 \| good	25.529 \| good	18.133 \| good	0.605 \| good	15.855 \| good	0.009 \| good
2025-11-06T12:00:00.000Z	38 \| good	7.14 \| good	23.802 \| good	9.509 \| good	0.627 \| good	18.478 \| good	0.005 \| good
2025-11-06T13:00:00.000Z	44 \| good	7.57 \| good	18.786 \| good	8.226 \| good	0.577 \| good	18.806 \| good	0.005 \| good
2025-11-06T14:00:00.000Z	38 \| good	6.934 \| good	16.826 \| good	9.67 \| good	0.914 \| good	13.31 \| good	0.005 \| good
2025-11-06T15:00:00.000Z	27 \| good	5.457 \| good	20.675 \| good	10.032 \| good	0.901 \| good	10.525 \| good	0.006 \| good
2025-11-06T16:00:00.000Z	33 \| good	6.286 \| good	30.023 \| good	13.372 \| good	0.854 \| good	13.635 \| good	0.008 \| good
2025-11-06T17:00:00.000Z	33 \| good	5.96 \| good	18.44 \| good	20.994 \| good	0.574 \| good	12.853 \| good	0.014 \| good
2025-11-06T18:00:00.000Z	44 \| good	7.794 \| good	24.2 \| good	20.618 \| good	0.854 \| good	19.691 \| good	0.02 \| good
2025-11-06T19:00:00.000Z	44 \| good	7.712 \| good	22.906 \| good	16.488 \| good	0.848 \| good	20.337 \| good	0.016 \| good
2025-11-06T20:00:00.000Z	44 \| good	8.005 \| good	28.342 \| good	16.112 \| good	0.634 \| good	24.159 \| good	0.018 \| good
2025-11-06T21:00:00.000Z	49 \| good	9.42 \| good	14.916 \| good	16.891 \| good	0.751 \| good	13.17 \| good	0.015 \| good
2025-11-06T22:00:00.000Z	38 \| good	6.86 \| good	17.8 \| good	18.639 \| good	0.976 \| good	16.55 \| good	0.018 \| good
2025-11-06T23:00:00.000Z	33 \| good	6.494 \| good	22.282 \| good	20.127 \| good	0.761 \| good	20.355 \| good	0.019 \| good
2025-11-07T00:00:00.000Z	38 \| good	7.481 \| good	31.389 \| good	12.685 \| good	1.192 \| good	12.817 \| good	0.553 \| good
2025-11-07T01:00:00.000Z	38 \| good	6.636 \| good	15.685 \| good	8.912 \| good	1.388 \| good	11.502 \| good	0.485 \| good
2025-11-07T02:00:00.000Z	52 \| moderate	10.321 \| good	21.242 \| good	13.048 \| good	1.012 \| good	12.216 \| good	0.441 \| good
2025-11-07T03:00:00.000Z	44 \| good	8.08 \| good	22.406 \| good	13.063 \| good	1.281 \| good	12.325 \| good	0.401 \| good
2025-11-07T04:00:00.000Z	49 \| good	8.999 \| good	36.795 \| good	15.039 \| good	1.648 \| good	12.191 \| good	0.34 \| good
2025-11-07T05:00:00.000Z	52 \| moderate	10.345 \| good	36.328 \| good	11.875 \| good	1.394 \| good	9.663 \| good	0.338 \| good
2025-11-07T06:00:00.000Z	52 \| moderate	9.54 \| good	18.452 \| good	9.241 \| good	0.44 \| good	15.809 \| good	0.007 \| good
2025-11-07T07:00:00.000Z	44 \| good	7.718 \| good	33.097 \| good	11.857 \| good	0.596 \| good	9.791 \| good	0.011 \| good
2025-11-07T08:00:00.000Z	44 \| good	8.149 \| good	32.549 \| good	13.477 \| good	0.442 \| good	6.353 \| good	0.009 \| good
2025-11-07T09:00:00.000Z	54 \| moderate	11.457 \| good	13.268 \| good	9.963 \| good	0.929 \| good	18.122 \| good	0.156 \| good
2025-11-07T10:00:00.000Z	52 \| moderate	9.796 \| good	11.686 \| good	13.424 \| good	0.917 \| good	16.546 \| good	0.148 \| good
2025-11-07T11:00:00.000Z	44 \| good	8.244 \| good	10.373 \| good	15.112 \| good	0.834 \| good	12.419 \| good	0.145 \| good
2025-11-07T12:00:00.000Z	44 \| good	7.824 \| good	10.033 \| good	17.054 \| good	0.698 \| good	11.03 \| good	0.138 \| good
2025-11-07T13:00:00.000Z	52 \| moderate	10.313 \| good	27.92 \| good	19.173 \| good	0.495 \| good	13.223 \| good	0.007 \| good
2025-11-07T14:00:00.000Z	54 \| moderate	10.806 \| good	19.341 \| good	14.226 \| good	0.493 \| good	13.863 \| good	0.01 \| good
2025-11-07T15:00:00.000Z	38 \| good	6.686 \| good	19.6 \| good	12.001 \| good	0.498 \| good	8.011 \| good	0.01 \| good
2025-11-07T16:00:00.000Z	49 \| good	8.883 \| good	21.266 \| good	14.998 \| good	0.625 \| good	11.517 \| good	0.011 \| good
2025-11-07T17:00:00.000Z	44 \| good	8.26 \| good	28.945 \| good	15.686 \| good	0.557 \| good	12.109 \| good	0.012 \| good
2025-11-07T18:00:00.000Z	52 \| moderate	9.66 \| good	28.694 \| good	18.955 \| good	1.689 \| good	12.247 \| good	0.015 \| good
2025-11-07T19:00:00.000Z	54 \| moderate	10.845 \| good	31.914 \| good	20.688 \| good	0.64 \| good	12.075 \| good	0.019 \| good
2025-11-07T20:00:00.000Z	49 \| good	9.428 \| good	29.671 \| good	20.885 \| good	0.551 \| good	17.574 \| good	0.018 \| good
2025-11-07T21:00:00.000Z	44 \| good	7.96 \| good	36.845 \| good	21.441 \| good	0.483 \| good	17.638 \| good	0.017 \| good
2025-11-07T22:00:00.000Z	49 \| good	8.759 \| good	29.216 \| good	20.952 \| good	0.498 \| good	11.617 \| good	0.02 \| good
2025-11-07T23:00:00.000Z	49 \| good	9.264 \| good	23.62 \| good	19.669 \| good	0.41 \| good	10.426 \| good	0.027 \| good
2025-11-08T00:00:00.000Z	49 \| good	8.526 \| good	31.209 \| good	23.677 \| good	1.437 \| good	10.927 \| good	0.861 \| good
2025-11-08T01:00:00.000Z	33 \| good	6.451 \| good	14.906 \| good	22.059 \| good	1.609 \| good	7.265 \| good	0.441 \| good
2025-11-08T02:00:00.000Z	33 \| good	6.453 \| good	24.149 \| good	18.033 \| good	1.166 \| good	6.41 \| good	0.332 \| good
2025-11-08T03:00:00.000Z	19 \| good	2.961 \| good	12.317 \| good	20.74 \| good	1.418 \| good	5.031 \| good	0.296 \| good
2025-11-08T04:00:00.000Z	19 \| good	2.961 \| good	12.317 \| good	20.74 \| good	1.418 \| good	5.031 \| good	0.296 \| good
2025-11-08T04:00:00.000Z	33 \| good	6.246 \| good	9.439 \| good	24.724 \| good	0.253 \| good	3.686 \| good	0.111 \| good
2025-11-08T05:00:00.000Z	33 \| good	6.276 \| good	8.681 \| good	24.359 \| good	0.246 \| good	3.277 \| good	0.113 \| good
2025-11-08T06:00:00.000Z	33 \| good	6.281 \| good	9.021 \| good	23.529 \| good	0.292 \| good	3.322 \| good	0.116 \| good
2025-11-08T07:00:00.000Z	38 \| good	6.607 \| good	9.783 \| good	23.155 \| good	0.418 \| good	4.072 \| good	0.12 \| good
2025-11-08T08:00:00.000Z	38 \| good	6.75 \| good	10.281 \| good	22.291 \| good	0.489 \| good	4.969 \| good	0.127 \| good
2025-11-08T09:00:00.000Z	38 \| good	6.589 \| good	10.246 \| good	22.705 \| good	0.464 \| good	5.185 \| good	0.13 \| good
2025-11-08T10:00:00.000Z	33 \| good	5.872 \| good	9.354 \| good	25.599 \| good	0.401 \| good	4.673 \| good	0.127 \| good
2025-11-08T11:00:00.000Z	27 \| good	4.542 \| good	7.982 \| good	26.939 \| good	0.327 \| good	4.461 \| good	0.125 \| good
2025-11-08T12:00:00.000Z	26 \| good	4.285 \| good	7.434 \| good	28.437 \| good	0.281 \| good	4.084 \| good	0.122 \| good
2025-11-08T13:00:00.000Z	27 \| good	4.523 \| good	7.013 \| good	29.02 \| good	0.259 \| good	4.062 \| good	0.121 \| good
2025-11-08T14:00:00.000Z	29 \| good	4.028 \| good	7.709 \| good	30.528 \| good	0.267 \| good	4.146 \| good	0.122 \| good
2025-11-08T15:00:00.000Z	27 \| good	4.334 \| good	8.713 \| good	29.478 \| good	0.316 \| good	4.667 \| good	0.124 \| good
2025-11-08T16:00:00.000Z	27 \| good	5.417 \| good	9.097 \| good	26.544 \| good	0.416 \| good	6.722 \| good	0.13 \| good
2025-11-08T17:00:00.000Z	38 \| good	6.89 \| good	11.155 \| good	22.744 \| good	0.564 \| good	10.335 \| good	0.137 \| good
2025-11-08T18:00:00.000Z	49 \| good	8.52 \| good	12.765 \| good	17.633 \| good	0.617 \| good	13.281 \| good	0.147 \| good
2025-11-08T19:00:00.000Z	52 \| moderate	9.993 \| good	14.39 \| good	17.159 \| good	0.732 \| good	14.139 \| good	0.156 \| good
2025-11-08T20:00:00.000Z	54 \| moderate	11.283 \| good	15.703 \| good	15.092 \| good	0.82 \| good	13.992 \| good	0.157 \| good
2025-11-08T21:00:00.000Z	56 \| moderate	12.084 \| good	16.739 \| good	14.485 \| good	0.857 \| good	13.748 \| good	0.159 \| good
2025-11-08T22:00:00.000Z	56 \| moderate	12.293 \| fine	16.719 \| good	12.087 \| good	0.863 \| good	14.332 \| good	0.163 \| good
2025-11-08T23:00:00.000Z	58 \| moderate	12.79 \| fine	16.84 \| good	11.244 \| good	0.817 \| good	13.851 \| good	0.164 \| good
2025-11-09T00:00:00.000Z	58 \| moderate	13.391 \| fine	16.667 \| good	12.185 \| good	0.704 \| good	13.125 \| good	0.165 \| good
2025-11-09T01:00:00.000Z	56 \| moderate	12.485 \| fine	16.418 \| good	13.152 \| good	0.638 \| good	12.619 \| good	0.159 \| good
2025-11-09T02:00:00.000Z	54 \| moderate	11.393 \| good	14.544 \| good	13.23 \| good	0.489 \| good	11.705 \| good	0.152 \| good
2025-11-09T03:00:00.000Z	54 \| moderate	10.985 \| good	14.248 \| good	12.401 \| good	0.393 \| good	11.191 \| good	0.148 \| good
2025-11-09T04:00:00.000Z	54 \| moderate	10.825 \| good	14.818 \| good	12.381 \| good	0.326 \| good	10.58 \| good	0.146 \| good
2025-11-09T05:00:00.000Z	54 \| moderate	10.959 \| good	14.675 \| good	11.718 \| good	0.321 \| good	9.088 \| good	0.142 \| good
2025-11-09T06:00:00.000Z	54 \| moderate	10.903 \| good	13.637 \| good	12.398 \| good	0.347 \| good	8.907 \| good	0.137 \| good
2025-11-09T07:00:00.000Z	54 \| moderate	10.802 \| good	13.208 \| good	13.562 \| good	0.483 \| good	9.69 \| good	0.137 \| good
2025-11-09T08:00:00.000Z	54 \| moderate	10.691 \| good	13.999 \| good	15.6 \| good	0.625 \| good	11.444 \| good	0.14 \| good
2025-11-09T09:00:00.000Z	52 \| moderate	10.163 \| good	15.835 \| good	17.555 \| good	0.78 \| good	10.722 \| good	0.144 \| good
2025-11-09T10:00:00.000Z	49 \| good	9.125 \| good	13.674 \| good	19.694 \| good	0.805 \| good	9.781 \| good	0.141 \| good
2025-11-09T11:00:00.000Z	44 \| good	8.305 \| good	13.053 \| good	23 \| good	0.691 \| good	9.029 \| good	0.137 \| good
2025-11-09T12:00:00.000Z	33 \| good	6.484 \| good	11.072 \| good	25.737 \| good	0.535 \| good	7.444 \| good	0.126 \| good
2025-11-09T13:00:00.000Z	33 \| good	5.675 \| good	9.079 \| good	26.882 \| good	0.412 \| good	6.562 \| good	0.121 \| good
2025-11-09T14:00:00.000Z	29 \| good	4.751 \| good	7.232 \| good	30.786 \| good	0.344 \| good	4.833 \| good	0.119 \| good
2025-11-09T15:00:00.000Z	30 \| good	4.826 \| good	7.744 \| good	31.511 \| good	0.33 \| good	5.405 \| good	0.119 \| good
2025-11-09T16:00:00.000Z	28 \| good	5.079 \| good	8.455 \| good	29.883 \| good	0.371 \| good	6.497 \| good	0.121 \| good
2025-11-09T17:00:00.000Z	27 \| good	5.314 \| good	7.936 \| good	28.498 \| good	0.472 \| good	8.085 \| good	0.126 \| good
2025-11-09T18:00:00.000Z	33 \| good	5.992 \| good	8.512 \| good	26.953 \| good	0.507 \| good	8.588 \| good	0.131 \| good
2025-11-09T19:00:00.000Z	38 \| good	7.088 \| good	9.264 \| good	26.751 \| good	0.515 \| good	8.467 \| good	0.13 \| good
2025-11-09T20:00:00.000Z	33 \| good	6.479 \| good	9.309 \| good	27.959 \| good	0.516 \| good	7.425 \| good	0.125 \| good
2025-11-09T21:00:00.000Z	33 \| good	6.442 \| good	9.727 \| good	29.08 \| good	0.483 \| good	6.047 \| good	0.122 \| good
2025-11-09T22:00:00.000Z	33 \| good	5.923 \| good	8.719 \| good	29.954 \| good	0.393 \| good	5.133 \| good	0.12 \| good
2025-11-09T23:00:00.000Z	29 \| good	5.406 \| good	7.955 \| good	30.511 \| good	0.311 \| good	4.378 \| good	0.118 \| good
2025-11-10T00:00:00.000Z	29 \| good	5.061 \| good	7.185 \| good	30.787 \| good	0.206 \| good	3.969 \| good	0.119 \| good
2025-11-10T01:00:00.000Z	28 \| good	4.799 \| good	7.071 \| good	30.069 \| good	0.205 \| good	3.362 \| good	0.119 \| good
2025-11-10T02:00:00.000Z	27 \| good	4.716 \| good	6.796 \| good	29.372 \| good	0.201 \| good	2.812 \| good	0.117 \| good
2025-11-10T03:00:00.000Z	27 \| good	4.796 \| good	6.366 \| good	29.265 \| good	0.21 \| good	2.553 \| good	0.115 \| good

Abbots Langley, Hertfordshire live air quality index now

Major air pollutants in Abbots Langley, Hertfordshire

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

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Air quality in nearby cities

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Bushey, Hertfordshire

Rickmansworth, Hertfordshire

Chorleywood, Hertfordshire

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Air quality levels in UK

Frequently asked questions

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What is the current concentration of PM2.5 in Abbots Langley, Hertfordshire?

What is the current concentration of PM10 in Abbots Langley, Hertfordshire?

What is the current concentration of carbon monoxide (CO) in Abbots Langley, Hertfordshire?

What is the current concentration of sulfur dioxide (SO2) in Abbots Langley, Hertfordshire?

What is the current concentration of ozone (O3) in Abbots Langley, Hertfordshire?

What is the current concentration of nitrogen dioxide (NO2) in Abbots Langley, Hertfordshire?

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 Abbots Langley, Hertfordshire?

What is the current concentration of PM₁₀ in Abbots Langley, Hertfordshire?

What is the current concentration of sulfur dioxide (SO₂) in Abbots Langley, Hertfordshire?

What is the current concentration of ozone (O₃) in Abbots Langley, Hertfordshire?

What is the current concentration of nitrogen dioxide (NO₂) in Abbots Langley, Hertfordshire?