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

The current PM10 concentration at Abbots Langley, Hertfordshire is 10.27 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 0.43 ppb.

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

The current ozone (O3) concentration at Abbots Langley, Hertfordshire is 19.195 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 2.976 ppb.

Abbots Langley, Hertfordshire live air quality index now

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

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)

2.97 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

7.93 μg/m³

155

255

425

605+

Ozone (O₃)

23.98 ppb

201

201+

Sulfur Dioxide (SO₂)

0.38 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

1.38 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.20 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

High

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
2025-09-16T04:00:00.000Z	33 \| good	6.07 \| good	17.576 \| good	23.97 \| good	0.423 \| good	2.633 \| good	0.364 \| good
2025-09-16T05:00:00.000Z	27 \| good	5.457 \| good	18.445 \| good	25.304 \| good	0.356 \| good	2.032 \| good	0.321 \| good
2025-09-16T06:00:00.000Z	33 \| good	5.992 \| good	18.299 \| good	25.909 \| good	0.356 \| good	2.975 \| good	0.02 \| good
2025-09-16T07:00:00.000Z	33 \| good	5.672 \| good	21.383 \| good	27.291 \| good	0.356 \| good	3.129 \| good	0.021 \| good
2025-09-16T08:00:00.000Z	27 \| good	5.197 \| good	14.368 \| good	25.613 \| good	0.356 \| good	5.931 \| good	0.019 \| good
2025-09-16T09:00:00.000Z	22 \| good	4.417 \| good	15.091 \| good	22.934 \| good	0.459 \| good	5.062 \| good	0.018 \| good
2025-09-16T10:00:00.000Z	27 \| good	4.893 \| good	15.132 \| good	23.242 \| good	0.446 \| good	4.364 \| good	0.018 \| good
2025-09-16T11:00:00.000Z	27 \| good	4.884 \| good	16.804 \| good	23.232 \| good	0.445 \| good	6.248 \| good	0.018 \| good
2025-09-16T12:00:00.000Z	27 \| good	4.549 \| good	17.215 \| good	23.125 \| good	0.478 \| good	3.615 \| good	0.016 \| good
2025-09-16T13:00:00.000Z	22 \| good	4.099 \| good	14.775 \| good	23.901 \| good	0.427 \| good	4.439 \| good	0.016 \| good
2025-09-16T14:00:00.000Z	27 \| good	4.941 \| good	14.59 \| good	27.753 \| good	0.477 \| good	4.717 \| good	0.016 \| good
2025-09-16T15:00:00.000Z	27 \| good	5.056 \| good	14.273 \| good	28.533 \| good	0.445 \| good	6.423 \| good	0.017 \| good
2025-09-16T16:00:00.000Z	25 \| good	4.269 \| good	13.145 \| good	27.127 \| good	0.513 \| good	6.767 \| good	0.016 \| good
2025-09-16T17:00:00.000Z	29 \| good	4.301 \| good	12.207 \| good	30.692 \| good	0.514 \| good	6.353 \| good	0.016 \| good
2025-09-16T18:00:00.000Z	28 \| good	4.271 \| good	11.338 \| good	30.442 \| good	0.391 \| good	7.674 \| good	0.017 \| good
2025-09-16T19:00:00.000Z	28 \| good	4.543 \| good	16.425 \| good	30.139 \| good	0.425 \| good	8.488 \| good	0.018 \| good
2025-09-16T20:00:00.000Z	27 \| good	5.298 \| good	12.17 \| good	28.858 \| good	0.357 \| good	7.791 \| good	0.018 \| good
2025-09-16T21:00:00.000Z	27 \| good	4 \| good	12.753 \| good	28.732 \| good	0.356 \| good	8.668 \| good	0.018 \| good
2025-09-16T22:00:00.000Z	27 \| good	4.789 \| good	14.063 \| good	27.476 \| good	0.355 \| good	5.987 \| good	0.015 \| good
2025-09-16T23:00:00.000Z	27 \| good	4.675 \| good	13.705 \| good	26.527 \| good	0.354 \| good	4.938 \| good	0.015 \| good
2025-09-17T00:00:00.000Z	25 \| good	3.763 \| good	16.08 \| good	26.647 \| good	0.43 \| good	3.873 \| good	0.29 \| good
2025-09-17T01:00:00.000Z	22 \| good	3.757 \| good	10.795 \| good	24.196 \| good	0.422 \| good	3.553 \| good	0.339 \| good
2025-09-17T02:00:00.000Z	22 \| good	4.266 \| good	14.073 \| good	20.848 \| good	0.422 \| good	3.008 \| good	0.312 \| good
2025-09-17T03:00:00.000Z	27 \| good	4.824 \| good	11.776 \| good	20.792 \| good	0.421 \| good	4.53 \| good	0.361 \| good
2025-09-17T04:00:00.000Z	27 \| good	5.118 \| good	10.27 \| good	19.195 \| good	0.43 \| good	2.976 \| good	0.37 \| good
2025-09-17T05:00:00.000Z	33 \| good	5.82 \| good	10.409 \| good	24.543 \| good	0.355 \| good	3.082 \| good	0.445 \| good
2025-09-17T06:00:00.000Z	27 \| good	5.052 \| good	9.363 \| good	24.433 \| good	0.356 \| good	7.472 \| good	0.015 \| good
2025-09-17T07:00:00.000Z	22 \| good	4.218 \| good	10.816 \| good	21.385 \| good	0.355 \| good	7.679 \| good	0.016 \| good
2025-09-17T08:00:00.000Z	22 \| good	4.113 \| good	13.549 \| good	22.555 \| good	0.356 \| good	5.384 \| good	0.015 \| good
2025-09-17T09:00:00.000Z	22 \| good	3.694 \| good	15.623 \| good	19.714 \| good	0.393 \| good	6.058 \| good	0.015 \| good
2025-09-17T10:00:00.000Z	22 \| good	3.826 \| good	13.261 \| good	23.104 \| good	0.362 \| good	6.678 \| good	0.014 \| good
2025-09-17T11:00:00.000Z	22 \| good	3.59 \| good	9.949 \| good	22.814 \| good	0.361 \| good	7.195 \| good	0.014 \| good
2025-09-17T12:00:00.000Z	17 \| good	3.119 \| good	11.052 \| good	18.203 \| good	0.363 \| good	4.521 \| good	0.014 \| good
2025-09-17T13:00:00.000Z	18 \| good	3.193 \| good	8.414 \| good	19.189 \| good	0.362 \| good	4.022 \| good	0.015 \| good
2025-09-17T14:00:00.000Z	18 \| good	3.229 \| good	9.361 \| good	19.051 \| good	0.468 \| good	5.512 \| good	0.014 \| good
2025-09-17T15:00:00.000Z	22 \| good	3.954 \| good	9.07 \| good	21.245 \| good	0.468 \| good	3.736 \| good	0.014 \| good
2025-09-17T16:00:00.000Z	22 \| good	4.289 \| good	7.352 \| good	22.59 \| good	0.467 \| good	4.694 \| good	0.014 \| good
2025-09-17T17:00:00.000Z	22 \| good	3.267 \| good	8.96 \| good	23.698 \| good	0.637 \| good	5.585 \| good	0.016 \| good
2025-09-17T18:00:00.000Z	19 \| good	3.273 \| good	9.814 \| good	21.008 \| good	0.468 \| good	5.239 \| good	0.015 \| good
2025-09-17T19:00:00.000Z	21 \| good	2.977 \| good	9.93 \| good	22.983 \| good	0.468 \| good	4.285 \| good	0.015 \| good
2025-09-17T20:00:00.000Z	22 \| good	3.037 \| good	9.36 \| good	23.533 \| good	0.362 \| good	4.309 \| good	0.016 \| good
2025-09-17T21:00:00.000Z	23 \| good	3.963 \| good	10.329 \| good	24.625 \| good	0.397 \| good	4.542 \| good	0.018 \| good
2025-09-17T22:00:00.000Z	22 \| good	4.039 \| good	9.765 \| good	23.521 \| good	0.361 \| good	2.595 \| good	0.011 \| good
2025-09-17T23:00:00.000Z	19 \| good	3.049 \| good	9.562 \| good	21.273 \| good	0.362 \| good	2.228 \| good	0.011 \| good
2025-09-18T00:00:00.000Z	20 \| good	2.764 \| good	8.571 \| good	22.08 \| good	0.382 \| good	2.309 \| good	0.208 \| good
2025-09-18T01:00:00.000Z	21 \| good	2.875 \| good	7.987 \| good	23.428 \| good	0.382 \| good	3.604 \| good	0.154 \| good
2025-09-18T02:00:00.000Z	22 \| good	2.966 \| good	7.928 \| good	23.985 \| good	0.382 \| good	1.377 \| good	0.195 \| good
2025-09-18T03:00:00.000Z	22 \| good	2.966 \| good	7.928 \| good	23.985 \| good	0.382 \| good	1.377 \| good	0.195 \| good
2025-09-17T05:00:00.000Z	25 \| good	3.751 \| good	4.861 \| good	26.944 \| good	0.199 \| good	3.167 \| good	0.119 \| good
2025-09-17T06:00:00.000Z	27 \| good	3.878 \| good	5.745 \| good	28.661 \| good	0.226 \| good	4.17 \| good	0.118 \| good
2025-09-17T07:00:00.000Z	28 \| good	3.857 \| good	6.239 \| good	29.639 \| good	0.238 \| good	5.368 \| good	0.122 \| good
2025-09-17T08:00:00.000Z	30 \| good	4.34 \| good	6.845 \| good	31.624 \| good	0.258 \| good	5.642 \| good	0.122 \| good
2025-09-17T09:00:00.000Z	30 \| good	4.427 \| good	7.479 \| good	31.878 \| good	0.235 \| good	4.758 \| good	0.121 \| good
2025-09-17T10:00:00.000Z	30 \| good	4.575 \| good	8.513 \| good	32.305 \| good	0.19 \| good	3.982 \| good	0.12 \| good
2025-09-17T11:00:00.000Z	31 \| good	4.927 \| good	9.045 \| good	33.03 \| good	0.164 \| good	3.675 \| good	0.119 \| good
2025-09-17T12:00:00.000Z	31 \| good	5.026 \| good	9.262 \| good	32.982 \| good	0.161 \| good	3.471 \| good	0.118 \| good
2025-09-17T13:00:00.000Z	31 \| good	5.125 \| good	9.007 \| good	32.762 \| good	0.158 \| good	3.353 \| good	0.117 \| good
2025-09-17T14:00:00.000Z	31 \| good	5.103 \| good	8.963 \| good	32.549 \| good	0.154 \| good	3.451 \| good	0.117 \| good
2025-09-17T15:00:00.000Z	31 \| good	5.175 \| good	8.91 \| good	32.677 \| good	0.15 \| good	3.666 \| good	0.116 \| good
2025-09-17T16:00:00.000Z	29 \| good	5.249 \| good	8.767 \| good	30.992 \| good	0.147 \| good	4.254 \| good	0.116 \| good
2025-09-17T17:00:00.000Z	28 \| good	5.316 \| good	8.559 \| good	29.827 \| good	0.162 \| good	4.755 \| good	0.116 \| good
2025-09-17T18:00:00.000Z	27 \| good	5.12 \| good	8.798 \| good	29.3 \| good	0.183 \| good	5.337 \| good	0.115 \| good
2025-09-17T19:00:00.000Z	27 \| good	4.864 \| good	8.97 \| good	29.281 \| good	0.191 \| good	4.466 \| good	0.114 \| good
2025-09-17T20:00:00.000Z	27 \| good	4.802 \| good	9.194 \| good	29.35 \| good	0.184 \| good	3.591 \| good	0.112 \| good
2025-09-17T21:00:00.000Z	27 \| good	4.915 \| good	8.708 \| good	29.114 \| good	0.174 \| good	3.075 \| good	0.11 \| good
2025-09-17T22:00:00.000Z	27 \| good	5.025 \| good	8.47 \| good	28.525 \| good	0.151 \| good	2.856 \| good	0.109 \| good
2025-09-17T23:00:00.000Z	27 \| good	4.891 \| good	8.355 \| good	28.068 \| good	0.115 \| good	2.613 \| good	0.107 \| good
2025-09-18T00:00:00.000Z	27 \| good	4.74 \| good	8.906 \| good	27.55 \| good	0.099 \| good	2.269 \| good	0.106 \| good
2025-09-18T01:00:00.000Z	27 \| good	4.58 \| good	8.8 \| good	27.304 \| good	0.082 \| good	1.971 \| good	0.104 \| good
2025-09-18T02:00:00.000Z	25 \| good	4.238 \| good	8.111 \| good	27.169 \| good	0.078 \| good	1.699 \| good	0.101 \| good
2025-09-18T03:00:00.000Z	25 \| good	4.014 \| good	7.579 \| good	26.847 \| good	0.078 \| good	1.504 \| good	0.1 \| good
2025-09-18T04:00:00.000Z	24 \| good	3.784 \| good	6.478 \| good	26.458 \| good	0.083 \| good	1.436 \| good	0.101 \| good
2025-09-18T05:00:00.000Z	24 \| good	3.719 \| good	5.799 \| good	25.981 \| good	0.104 \| good	1.551 \| good	0.102 \| good
2025-09-18T06:00:00.000Z	23 \| good	3.931 \| good	6.393 \| good	24.82 \| good	0.139 \| good	2.474 \| good	0.102 \| good
2025-09-18T07:00:00.000Z	22 \| good	3.983 \| good	7.115 \| good	23.968 \| good	0.156 \| good	3.876 \| good	0.104 \| good
2025-09-18T08:00:00.000Z	24 \| good	3.726 \| good	6.926 \| good	26.486 \| good	0.14 \| good	4.333 \| good	0.106 \| good
2025-09-18T09:00:00.000Z	26 \| good	3.525 \| good	6.308 \| good	27.67 \| good	0.129 \| good	3.627 \| good	0.105 \| good
2025-09-18T10:00:00.000Z	26 \| good	3.317 \| good	5.716 \| good	28.119 \| good	0.123 \| good	2.806 \| good	0.104 \| good
2025-09-18T11:00:00.000Z	27 \| good	3.079 \| good	5.684 \| good	29.086 \| good	0.119 \| good	2.333 \| good	0.103 \| good
2025-09-18T12:00:00.000Z	29 \| good	3.024 \| good	5.622 \| good	30.727 \| good	0.123 \| good	2.106 \| good	0.102 \| good
2025-09-18T13:00:00.000Z	28 \| good	3.021 \| good	5.969 \| good	30.317 \| good	0.122 \| good	2.164 \| good	0.101 \| good
2025-09-18T14:00:00.000Z	28 \| good	3.081 \| good	6.107 \| good	29.947 \| good	0.122 \| good	2.294 \| good	0.102 \| good
2025-09-18T15:00:00.000Z	28 \| good	3.159 \| good	6.378 \| good	29.619 \| good	0.123 \| good	2.574 \| good	0.103 \| good
2025-09-18T16:00:00.000Z	27 \| good	3.259 \| good	6.784 \| good	29.141 \| good	0.132 \| good	3.167 \| good	0.104 \| good
2025-09-18T17:00:00.000Z	26 \| good	3.428 \| good	7.211 \| good	28.007 \| good	0.134 \| good	4.095 \| good	0.105 \| good
2025-09-18T18:00:00.000Z	26 \| good	3.503 \| good	6.876 \| good	27.502 \| good	0.159 \| good	4.601 \| good	0.106 \| good
2025-09-18T19:00:00.000Z	25 \| good	3.278 \| good	6.422 \| good	27.424 \| good	0.177 \| good	4.348 \| good	0.105 \| good
2025-09-18T20:00:00.000Z	25 \| good	3.312 \| good	6.401 \| good	27.431 \| good	0.175 \| good	3.8 \| good	0.104 \| good
2025-09-18T21:00:00.000Z	26 \| good	3.304 \| good	6.288 \| good	27.984 \| good	0.18 \| good	3.432 \| good	0.103 \| good
2025-09-18T22:00:00.000Z	26 \| good	3.295 \| good	6.171 \| good	27.689 \| good	0.172 \| good	3.115 \| good	0.102 \| good
2025-09-18T23:00:00.000Z	25 \| good	3.31 \| good	5.843 \| good	27.442 \| good	0.147 \| good	2.884 \| good	0.102 \| good
2025-09-19T00:00:00.000Z	25 \| good	3.207 \| good	5.732 \| good	27.199 \| good	0.13 \| good	2.489 \| good	0.102 \| good
2025-09-19T01:00:00.000Z	25 \| good	3.137 \| good	5.641 \| good	26.705 \| good	0.124 \| good	2.143 \| good	0.1 \| good
2025-09-19T02:00:00.000Z	24 \| good	3.222 \| good	5.726 \| good	26.499 \| good	0.128 \| good	2.004 \| good	0.1 \| good
2025-09-19T03:00:00.000Z	24 \| good	3.404 \| good	6.009 \| good	26.159 \| good	0.134 \| good	1.942 \| good	0.101 \| good
2025-09-19T04:00:00.000Z	24 \| good	3.689 \| good	6.346 \| good	25.588 \| good	0.152 \| good	2.045 \| good	0.102 \| good

Abbots Langley

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

0.36ppm

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 2025-09-16.

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 2025-09-17.

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

The current air quality in Abbots Langley, Hertfordshire is 27, 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 5.118 μg/m³.

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

The current PM₁₀ concentration at Abbots Langley, Hertfordshire is 10.27 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 0.37 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 0.43 ppb.

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

The current ozone (O₃) concentration at Abbots Langley, Hertfordshire is 19.195 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 2.976 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-09-16T04:00:00.000Z	33 \| good	6.07 \| good	17.576 \| good	23.97 \| good	0.423 \| good	2.633 \| good	0.364 \| good
2025-09-16T05:00:00.000Z	27 \| good	5.457 \| good	18.445 \| good	25.304 \| good	0.356 \| good	2.032 \| good	0.321 \| good
2025-09-16T06:00:00.000Z	33 \| good	5.992 \| good	18.299 \| good	25.909 \| good	0.356 \| good	2.975 \| good	0.02 \| good
2025-09-16T07:00:00.000Z	33 \| good	5.672 \| good	21.383 \| good	27.291 \| good	0.356 \| good	3.129 \| good	0.021 \| good
2025-09-16T08:00:00.000Z	27 \| good	5.197 \| good	14.368 \| good	25.613 \| good	0.356 \| good	5.931 \| good	0.019 \| good
2025-09-16T09:00:00.000Z	22 \| good	4.417 \| good	15.091 \| good	22.934 \| good	0.459 \| good	5.062 \| good	0.018 \| good
2025-09-16T10:00:00.000Z	27 \| good	4.893 \| good	15.132 \| good	23.242 \| good	0.446 \| good	4.364 \| good	0.018 \| good
2025-09-16T11:00:00.000Z	27 \| good	4.884 \| good	16.804 \| good	23.232 \| good	0.445 \| good	6.248 \| good	0.018 \| good
2025-09-16T12:00:00.000Z	27 \| good	4.549 \| good	17.215 \| good	23.125 \| good	0.478 \| good	3.615 \| good	0.016 \| good
2025-09-16T13:00:00.000Z	22 \| good	4.099 \| good	14.775 \| good	23.901 \| good	0.427 \| good	4.439 \| good	0.016 \| good
2025-09-16T14:00:00.000Z	27 \| good	4.941 \| good	14.59 \| good	27.753 \| good	0.477 \| good	4.717 \| good	0.016 \| good
2025-09-16T15:00:00.000Z	27 \| good	5.056 \| good	14.273 \| good	28.533 \| good	0.445 \| good	6.423 \| good	0.017 \| good
2025-09-16T16:00:00.000Z	25 \| good	4.269 \| good	13.145 \| good	27.127 \| good	0.513 \| good	6.767 \| good	0.016 \| good
2025-09-16T17:00:00.000Z	29 \| good	4.301 \| good	12.207 \| good	30.692 \| good	0.514 \| good	6.353 \| good	0.016 \| good
2025-09-16T18:00:00.000Z	28 \| good	4.271 \| good	11.338 \| good	30.442 \| good	0.391 \| good	7.674 \| good	0.017 \| good
2025-09-16T19:00:00.000Z	28 \| good	4.543 \| good	16.425 \| good	30.139 \| good	0.425 \| good	8.488 \| good	0.018 \| good
2025-09-16T20:00:00.000Z	27 \| good	5.298 \| good	12.17 \| good	28.858 \| good	0.357 \| good	7.791 \| good	0.018 \| good
2025-09-16T21:00:00.000Z	27 \| good	4 \| good	12.753 \| good	28.732 \| good	0.356 \| good	8.668 \| good	0.018 \| good
2025-09-16T22:00:00.000Z	27 \| good	4.789 \| good	14.063 \| good	27.476 \| good	0.355 \| good	5.987 \| good	0.015 \| good
2025-09-16T23:00:00.000Z	27 \| good	4.675 \| good	13.705 \| good	26.527 \| good	0.354 \| good	4.938 \| good	0.015 \| good
2025-09-17T00:00:00.000Z	25 \| good	3.763 \| good	16.08 \| good	26.647 \| good	0.43 \| good	3.873 \| good	0.29 \| good
2025-09-17T01:00:00.000Z	22 \| good	3.757 \| good	10.795 \| good	24.196 \| good	0.422 \| good	3.553 \| good	0.339 \| good
2025-09-17T02:00:00.000Z	22 \| good	4.266 \| good	14.073 \| good	20.848 \| good	0.422 \| good	3.008 \| good	0.312 \| good
2025-09-17T03:00:00.000Z	27 \| good	4.824 \| good	11.776 \| good	20.792 \| good	0.421 \| good	4.53 \| good	0.361 \| good
2025-09-17T04:00:00.000Z	27 \| good	5.118 \| good	10.27 \| good	19.195 \| good	0.43 \| good	2.976 \| good	0.37 \| good
2025-09-17T05:00:00.000Z	33 \| good	5.82 \| good	10.409 \| good	24.543 \| good	0.355 \| good	3.082 \| good	0.445 \| good
2025-09-17T06:00:00.000Z	27 \| good	5.052 \| good	9.363 \| good	24.433 \| good	0.356 \| good	7.472 \| good	0.015 \| good
2025-09-17T07:00:00.000Z	22 \| good	4.218 \| good	10.816 \| good	21.385 \| good	0.355 \| good	7.679 \| good	0.016 \| good
2025-09-17T08:00:00.000Z	22 \| good	4.113 \| good	13.549 \| good	22.555 \| good	0.356 \| good	5.384 \| good	0.015 \| good
2025-09-17T09:00:00.000Z	22 \| good	3.694 \| good	15.623 \| good	19.714 \| good	0.393 \| good	6.058 \| good	0.015 \| good
2025-09-17T10:00:00.000Z	22 \| good	3.826 \| good	13.261 \| good	23.104 \| good	0.362 \| good	6.678 \| good	0.014 \| good
2025-09-17T11:00:00.000Z	22 \| good	3.59 \| good	9.949 \| good	22.814 \| good	0.361 \| good	7.195 \| good	0.014 \| good
2025-09-17T12:00:00.000Z	17 \| good	3.119 \| good	11.052 \| good	18.203 \| good	0.363 \| good	4.521 \| good	0.014 \| good
2025-09-17T13:00:00.000Z	18 \| good	3.193 \| good	8.414 \| good	19.189 \| good	0.362 \| good	4.022 \| good	0.015 \| good
2025-09-17T14:00:00.000Z	18 \| good	3.229 \| good	9.361 \| good	19.051 \| good	0.468 \| good	5.512 \| good	0.014 \| good
2025-09-17T15:00:00.000Z	22 \| good	3.954 \| good	9.07 \| good	21.245 \| good	0.468 \| good	3.736 \| good	0.014 \| good
2025-09-17T16:00:00.000Z	22 \| good	4.289 \| good	7.352 \| good	22.59 \| good	0.467 \| good	4.694 \| good	0.014 \| good
2025-09-17T17:00:00.000Z	22 \| good	3.267 \| good	8.96 \| good	23.698 \| good	0.637 \| good	5.585 \| good	0.016 \| good
2025-09-17T18:00:00.000Z	19 \| good	3.273 \| good	9.814 \| good	21.008 \| good	0.468 \| good	5.239 \| good	0.015 \| good
2025-09-17T19:00:00.000Z	21 \| good	2.977 \| good	9.93 \| good	22.983 \| good	0.468 \| good	4.285 \| good	0.015 \| good
2025-09-17T20:00:00.000Z	22 \| good	3.037 \| good	9.36 \| good	23.533 \| good	0.362 \| good	4.309 \| good	0.016 \| good
2025-09-17T21:00:00.000Z	23 \| good	3.963 \| good	10.329 \| good	24.625 \| good	0.397 \| good	4.542 \| good	0.018 \| good
2025-09-17T22:00:00.000Z	22 \| good	4.039 \| good	9.765 \| good	23.521 \| good	0.361 \| good	2.595 \| good	0.011 \| good
2025-09-17T23:00:00.000Z	19 \| good	3.049 \| good	9.562 \| good	21.273 \| good	0.362 \| good	2.228 \| good	0.011 \| good
2025-09-18T00:00:00.000Z	20 \| good	2.764 \| good	8.571 \| good	22.08 \| good	0.382 \| good	2.309 \| good	0.208 \| good
2025-09-18T01:00:00.000Z	21 \| good	2.875 \| good	7.987 \| good	23.428 \| good	0.382 \| good	3.604 \| good	0.154 \| good
2025-09-18T02:00:00.000Z	22 \| good	2.966 \| good	7.928 \| good	23.985 \| good	0.382 \| good	1.377 \| good	0.195 \| good
2025-09-18T03:00:00.000Z	22 \| good	2.966 \| good	7.928 \| good	23.985 \| good	0.382 \| good	1.377 \| good	0.195 \| good
2025-09-17T05:00:00.000Z	25 \| good	3.751 \| good	4.861 \| good	26.944 \| good	0.199 \| good	3.167 \| good	0.119 \| good
2025-09-17T06:00:00.000Z	27 \| good	3.878 \| good	5.745 \| good	28.661 \| good	0.226 \| good	4.17 \| good	0.118 \| good
2025-09-17T07:00:00.000Z	28 \| good	3.857 \| good	6.239 \| good	29.639 \| good	0.238 \| good	5.368 \| good	0.122 \| good
2025-09-17T08:00:00.000Z	30 \| good	4.34 \| good	6.845 \| good	31.624 \| good	0.258 \| good	5.642 \| good	0.122 \| good
2025-09-17T09:00:00.000Z	30 \| good	4.427 \| good	7.479 \| good	31.878 \| good	0.235 \| good	4.758 \| good	0.121 \| good
2025-09-17T10:00:00.000Z	30 \| good	4.575 \| good	8.513 \| good	32.305 \| good	0.19 \| good	3.982 \| good	0.12 \| good
2025-09-17T11:00:00.000Z	31 \| good	4.927 \| good	9.045 \| good	33.03 \| good	0.164 \| good	3.675 \| good	0.119 \| good
2025-09-17T12:00:00.000Z	31 \| good	5.026 \| good	9.262 \| good	32.982 \| good	0.161 \| good	3.471 \| good	0.118 \| good
2025-09-17T13:00:00.000Z	31 \| good	5.125 \| good	9.007 \| good	32.762 \| good	0.158 \| good	3.353 \| good	0.117 \| good
2025-09-17T14:00:00.000Z	31 \| good	5.103 \| good	8.963 \| good	32.549 \| good	0.154 \| good	3.451 \| good	0.117 \| good
2025-09-17T15:00:00.000Z	31 \| good	5.175 \| good	8.91 \| good	32.677 \| good	0.15 \| good	3.666 \| good	0.116 \| good
2025-09-17T16:00:00.000Z	29 \| good	5.249 \| good	8.767 \| good	30.992 \| good	0.147 \| good	4.254 \| good	0.116 \| good
2025-09-17T17:00:00.000Z	28 \| good	5.316 \| good	8.559 \| good	29.827 \| good	0.162 \| good	4.755 \| good	0.116 \| good
2025-09-17T18:00:00.000Z	27 \| good	5.12 \| good	8.798 \| good	29.3 \| good	0.183 \| good	5.337 \| good	0.115 \| good
2025-09-17T19:00:00.000Z	27 \| good	4.864 \| good	8.97 \| good	29.281 \| good	0.191 \| good	4.466 \| good	0.114 \| good
2025-09-17T20:00:00.000Z	27 \| good	4.802 \| good	9.194 \| good	29.35 \| good	0.184 \| good	3.591 \| good	0.112 \| good
2025-09-17T21:00:00.000Z	27 \| good	4.915 \| good	8.708 \| good	29.114 \| good	0.174 \| good	3.075 \| good	0.11 \| good
2025-09-17T22:00:00.000Z	27 \| good	5.025 \| good	8.47 \| good	28.525 \| good	0.151 \| good	2.856 \| good	0.109 \| good
2025-09-17T23:00:00.000Z	27 \| good	4.891 \| good	8.355 \| good	28.068 \| good	0.115 \| good	2.613 \| good	0.107 \| good
2025-09-18T00:00:00.000Z	27 \| good	4.74 \| good	8.906 \| good	27.55 \| good	0.099 \| good	2.269 \| good	0.106 \| good
2025-09-18T01:00:00.000Z	27 \| good	4.58 \| good	8.8 \| good	27.304 \| good	0.082 \| good	1.971 \| good	0.104 \| good
2025-09-18T02:00:00.000Z	25 \| good	4.238 \| good	8.111 \| good	27.169 \| good	0.078 \| good	1.699 \| good	0.101 \| good
2025-09-18T03:00:00.000Z	25 \| good	4.014 \| good	7.579 \| good	26.847 \| good	0.078 \| good	1.504 \| good	0.1 \| good
2025-09-18T04:00:00.000Z	24 \| good	3.784 \| good	6.478 \| good	26.458 \| good	0.083 \| good	1.436 \| good	0.101 \| good
2025-09-18T05:00:00.000Z	24 \| good	3.719 \| good	5.799 \| good	25.981 \| good	0.104 \| good	1.551 \| good	0.102 \| good
2025-09-18T06:00:00.000Z	23 \| good	3.931 \| good	6.393 \| good	24.82 \| good	0.139 \| good	2.474 \| good	0.102 \| good
2025-09-18T07:00:00.000Z	22 \| good	3.983 \| good	7.115 \| good	23.968 \| good	0.156 \| good	3.876 \| good	0.104 \| good
2025-09-18T08:00:00.000Z	24 \| good	3.726 \| good	6.926 \| good	26.486 \| good	0.14 \| good	4.333 \| good	0.106 \| good
2025-09-18T09:00:00.000Z	26 \| good	3.525 \| good	6.308 \| good	27.67 \| good	0.129 \| good	3.627 \| good	0.105 \| good
2025-09-18T10:00:00.000Z	26 \| good	3.317 \| good	5.716 \| good	28.119 \| good	0.123 \| good	2.806 \| good	0.104 \| good
2025-09-18T11:00:00.000Z	27 \| good	3.079 \| good	5.684 \| good	29.086 \| good	0.119 \| good	2.333 \| good	0.103 \| good
2025-09-18T12:00:00.000Z	29 \| good	3.024 \| good	5.622 \| good	30.727 \| good	0.123 \| good	2.106 \| good	0.102 \| good
2025-09-18T13:00:00.000Z	28 \| good	3.021 \| good	5.969 \| good	30.317 \| good	0.122 \| good	2.164 \| good	0.101 \| good
2025-09-18T14:00:00.000Z	28 \| good	3.081 \| good	6.107 \| good	29.947 \| good	0.122 \| good	2.294 \| good	0.102 \| good
2025-09-18T15:00:00.000Z	28 \| good	3.159 \| good	6.378 \| good	29.619 \| good	0.123 \| good	2.574 \| good	0.103 \| good
2025-09-18T16:00:00.000Z	27 \| good	3.259 \| good	6.784 \| good	29.141 \| good	0.132 \| good	3.167 \| good	0.104 \| good
2025-09-18T17:00:00.000Z	26 \| good	3.428 \| good	7.211 \| good	28.007 \| good	0.134 \| good	4.095 \| good	0.105 \| good
2025-09-18T18:00:00.000Z	26 \| good	3.503 \| good	6.876 \| good	27.502 \| good	0.159 \| good	4.601 \| good	0.106 \| good
2025-09-18T19:00:00.000Z	25 \| good	3.278 \| good	6.422 \| good	27.424 \| good	0.177 \| good	4.348 \| good	0.105 \| good
2025-09-18T20:00:00.000Z	25 \| good	3.312 \| good	6.401 \| good	27.431 \| good	0.175 \| good	3.8 \| good	0.104 \| good
2025-09-18T21:00:00.000Z	26 \| good	3.304 \| good	6.288 \| good	27.984 \| good	0.18 \| good	3.432 \| good	0.103 \| good
2025-09-18T22:00:00.000Z	26 \| good	3.295 \| good	6.171 \| good	27.689 \| good	0.172 \| good	3.115 \| good	0.102 \| good
2025-09-18T23:00:00.000Z	25 \| good	3.31 \| good	5.843 \| good	27.442 \| good	0.147 \| good	2.884 \| good	0.102 \| good
2025-09-19T00:00:00.000Z	25 \| good	3.207 \| good	5.732 \| good	27.199 \| good	0.13 \| good	2.489 \| good	0.102 \| good
2025-09-19T01:00:00.000Z	25 \| good	3.137 \| good	5.641 \| good	26.705 \| good	0.124 \| good	2.143 \| good	0.1 \| good
2025-09-19T02:00:00.000Z	24 \| good	3.222 \| good	5.726 \| good	26.499 \| good	0.128 \| good	2.004 \| good	0.1 \| good
2025-09-19T03:00:00.000Z	24 \| good	3.404 \| good	6.009 \| good	26.159 \| good	0.134 \| good	1.942 \| good	0.101 \| good
2025-09-19T04:00:00.000Z	24 \| good	3.689 \| good	6.346 \| good	25.588 \| good	0.152 \| good	2.045 \| good	0.102 \| 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)

Track live Abbots Langley, Hertfordshire air quality forecast and history

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

Air quality in nearby cities

Watford, Hertfordshire

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Bushey, Hertfordshire

Rickmansworth, Hertfordshire

Chorleywood, Hertfordshire

How accurate is Hertfordshire, UK air quality data?

Air quality levels in UK

Frequently asked questions

How often is the air quality data for Abbots Langley, Hertfordshire updated?

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

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

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

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

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?