What are the current PM10 levels at Sawbridgeworth, Hertfordshire?

The current PM10 levels in Sawbridgeworth, Hertfordshire are 26.193 μg/m3.

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

The current sulfur dioxide (SO2) levels in Sawbridgeworth, Hertfordshire are 0.704 ppb.

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

The current ozone (O3) levels at Sawbridgeworth, Hertfordshire is 16.326 ppm.

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

The current nitrogen dioxide (NO2) levels at Sawbridgeworth, Hertfordshire is 8.595 ppb.

Real-time air quality index in Sawbridgeworth, Hertfordshire today

Q: What are the current PM2.5 levels in Sawbridgeworth, Hertfordshire?

The measured PM2.5 levels in Sawbridgeworth, Hertfordshire at present are 8.811 μg/m3.

Stay updated with real-time air quality in Sawbridgeworth, 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

Sawbridgeworth, Hertfordshire

Last updated: ... (Local time)

Common air pollutants in Sawbridgeworth, Hertfordshire

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

5.41 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

12.02 μg/m³

155

255

425

605+

Ozone (O₃)

19.75 ppb

201

201+

Sulfur Dioxide (SO₂)

2.06 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

4.63 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.30 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

Sawbridgeworth, Hertfordshire

Get Live Pollen Counts

Sawbridgeworth, Hertfordshire

Scroll To Air Quality Map

Track live Sawbridgeworth, Hertfordshire air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-11-06T05:00:00.000Z	38 \| good	6.934 \| good	9.187 \| good	22.089 \| good	0.234 \| good	4.615 \| good	0.126 \| good
2025-11-06T06:00:00.000Z	27 \| good	5.46 \| good	23.136 \| good	18.287 \| good	0.805 \| good	7.681 \| good	0.013 \| good
2025-11-06T07:00:00.000Z	33 \| good	6.195 \| good	18.687 \| good	18.123 \| good	1.01 \| good	9.052 \| good	0.603 \| good
2025-11-06T08:00:00.000Z	27 \| good	5.303 \| good	21.148 \| good	15.003 \| good	0.853 \| good	8.519 \| good	0.016 \| good
2025-11-06T09:00:00.000Z	33 \| good	5.855 \| good	13.852 \| good	16.353 \| good	1.153 \| good	12.815 \| good	0.514 \| good
2025-11-06T10:00:00.000Z	44 \| good	8.122 \| good	16.241 \| good	17.406 \| good	1.002 \| good	12.435 \| good	0.012 \| good
2025-11-06T11:00:00.000Z	27 \| good	5.191 \| good	21.912 \| good	17.994 \| good	0.718 \| good	11.573 \| good	0.012 \| good
2025-11-06T12:00:00.000Z	33 \| good	5.965 \| good	20.28 \| good	15.702 \| good	0.889 \| good	12.806 \| good	0.008 \| good
2025-11-06T13:00:00.000Z	44 \| good	7.884 \| good	38.049 \| good	13.362 \| good	0.821 \| good	10.483 \| good	0.007 \| good
2025-11-06T14:00:00.000Z	33 \| good	6.014 \| good	20.28 \| good	16.086 \| good	1.067 \| good	12.745 \| good	0.007 \| good
2025-11-06T15:00:00.000Z	27 \| good	5.341 \| good	12.145 \| good	20.452 \| good	1.076 \| good	8.705 \| good	0.008 \| good
2025-11-06T16:00:00.000Z	27 \| good	4.729 \| good	17.845 \| good	20.263 \| good	0.999 \| good	13.893 \| good	0.011 \| good
2025-11-06T17:00:00.000Z	44 \| good	7.659 \| good	18.339 \| good	20.148 \| good	1.006 \| good	7.828 \| good	0.021 \| good
2025-11-06T18:00:00.000Z	33 \| good	5.629 \| good	13.9 \| good	21.153 \| good	0.956 \| good	14.399 \| good	0.022 \| good
2025-11-06T19:00:00.000Z	38 \| good	6.559 \| good	34.412 \| good	21.29 \| good	1.095 \| good	16.381 \| good	0.024 \| good
2025-11-06T20:00:00.000Z	37 \| good	5.2 \| good	39.827 \| good	18.386 \| good	0.885 \| good	20.586 \| good	0.027 \| good
2025-11-06T21:00:00.000Z	44 \| good	7.958 \| good	34.784 \| good	17.864 \| good	0.854 \| good	13.895 \| good	0.021 \| good
2025-11-06T22:00:00.000Z	33 \| good	6.208 \| good	14.406 \| good	13.769 \| good	1.052 \| good	10.168 \| good	0.026 \| good
2025-11-06T23:00:00.000Z	27 \| good	5.335 \| good	17.651 \| good	15.443 \| good	0.856 \| good	14.069 \| good	0.028 \| good
2025-11-07T00:00:00.000Z	49 \| good	9.357 \| good	46.544 \| good	13.692 \| good	1.438 \| good	12.715 \| good	0.553 \| good
2025-11-07T01:00:00.000Z	49 \| good	9.141 \| good	20.943 \| good	10.394 \| good	1.583 \| good	12.897 \| good	0.485 \| good
2025-11-07T02:00:00.000Z	52 \| moderate	9.724 \| good	29.865 \| good	9.156 \| good	1.772 \| good	10.528 \| good	0.441 \| good
2025-11-07T03:00:00.000Z	44 \| good	7.84 \| good	26.735 \| good	6.165 \| good	2.557 \| good	11.95 \| good	0.401 \| good
2025-11-07T04:00:00.000Z	44 \| good	7.849 \| good	23.273 \| good	4.977 \| good	2.882 \| good	10.871 \| good	0.34 \| good
2025-11-07T05:00:00.000Z	52 \| moderate	9.669 \| good	28.665 \| good	11.803 \| good	2.543 \| good	10.875 \| good	0.338 \| good
2025-11-07T06:00:00.000Z	44 \| good	8.044 \| good	14.921 \| good	14.296 \| good	2.718 \| good	15.732 \| good	0.01 \| good
2025-11-07T07:00:00.000Z	27 \| good	5.434 \| good	12.958 \| good	10.841 \| good	2.382 \| good	4.04 \| good	0.016 \| good
2025-11-07T08:00:00.000Z	52 \| moderate	9.681 \| good	19.61 \| good	11.443 \| good	0.843 \| good	5.534 \| good	0.012 \| good
2025-11-07T09:00:00.000Z	52 \| moderate	10.386 \| good	12.115 \| good	14.305 \| good	0.423 \| good	9.38 \| good	0.14 \| good
2025-11-07T10:00:00.000Z	49 \| good	9.438 \| good	10.681 \| good	15.208 \| good	0.479 \| good	9.096 \| good	0.142 \| good
2025-11-07T11:00:00.000Z	44 \| good	7.932 \| good	10.13 \| good	14.175 \| good	0.5 \| good	8.502 \| good	0.147 \| good
2025-11-07T12:00:00.000Z	38 \| good	7.299 \| good	9.672 \| good	18.016 \| good	0.403 \| good	7.826 \| good	0.148 \| good
2025-11-07T13:00:00.000Z	49 \| good	8.591 \| good	16.526 \| good	14.245 \| good	0.567 \| good	7.343 \| good	0.01 \| good
2025-11-07T14:00:00.000Z	49 \| good	8.811 \| good	26.193 \| good	16.326 \| good	0.704 \| good	8.595 \| good	0.014 \| good
2025-11-07T15:00:00.000Z	44 \| good	8.334 \| good	26 \| good	16.529 \| good	0.704 \| good	10.175 \| good	0.014 \| good
2025-11-07T16:00:00.000Z	38 \| good	6.926 \| good	17.053 \| good	17.019 \| good	1.877 \| good	11.429 \| good	0.015 \| good
2025-11-07T17:00:00.000Z	22 \| good	3.78 \| good	21.3 \| good	18.496 \| good	1.832 \| good	7.288 \| good	0.018 \| good
2025-11-07T18:00:00.000Z	38 \| good	7.237 \| good	14.801 \| good	21.082 \| good	2.118 \| good	10.028 \| good	0.022 \| good
2025-11-07T19:00:00.000Z	19 \| good	2.98 \| good	15.331 \| good	20.876 \| good	2.452 \| good	12.742 \| good	0.029 \| good
2025-11-07T20:00:00.000Z	52 \| moderate	9.603 \| good	34.074 \| good	22.471 \| good	2.112 \| good	13.166 \| good	0.026 \| good
2025-11-07T21:00:00.000Z	52 \| moderate	9.648 \| good	31.857 \| good	18.051 \| good	2.088 \| good	13.668 \| good	0.025 \| good
2025-11-07T22:00:00.000Z	52 \| moderate	9.625 \| good	22.181 \| good	20.832 \| good	2.13 \| good	11.455 \| good	0.029 \| good
2025-11-07T23:00:00.000Z	52 \| moderate	9.703 \| good	18.393 \| good	17.184 \| good	2.126 \| good	9.73 \| good	0.04 \| good
2025-11-08T00:00:00.000Z	22 \| good	4.325 \| good	11.314 \| good	21.349 \| good	2.114 \| good	4.628 \| good	0.861 \| good
2025-11-08T01:00:00.000Z	27 \| good	5.188 \| good	10.243 \| good	17.455 \| good	2.106 \| good	5.691 \| good	0.441 \| good
2025-11-08T02:00:00.000Z	33 \| good	6.378 \| good	23.487 \| good	16.21 \| good	1.898 \| good	8.122 \| good	0.332 \| good
2025-11-08T03:00:00.000Z	27 \| good	5.413 \| good	12.022 \| good	19.746 \| good	2.06 \| good	4.628 \| good	0.296 \| good
2025-11-08T04:00:00.000Z	27 \| good	5.413 \| good	12.022 \| good	19.746 \| good	2.06 \| good	4.628 \| good	0.296 \| good
2025-11-07T15:00:00.000Z	27 \| good	4.755 \| good	7.897 \| good	23.743 \| good	0.353 \| good	5.429 \| good	0.123 \| good
2025-11-07T16:00:00.000Z	22 \| good	4.432 \| good	7.828 \| good	22.876 \| good	0.353 \| good	6.358 \| good	0.124 \| good
2025-11-07T17:00:00.000Z	27 \| good	4.614 \| good	8.074 \| good	20.802 \| good	0.418 \| good	8.596 \| good	0.126 \| good
2025-11-07T18:00:00.000Z	27 \| good	5.217 \| good	8.407 \| good	19.62 \| good	0.536 \| good	10.217 \| good	0.129 \| good
2025-11-07T19:00:00.000Z	33 \| good	5.776 \| good	8.783 \| good	19.695 \| good	0.48 \| good	10.089 \| good	0.128 \| good
2025-11-07T20:00:00.000Z	33 \| good	6.326 \| good	8.913 \| good	19.946 \| good	0.524 \| good	8.91 \| good	0.126 \| good
2025-11-07T21:00:00.000Z	33 \| good	5.904 \| good	7.457 \| good	21.726 \| good	0.504 \| good	7.337 \| good	0.124 \| good
2025-11-07T22:00:00.000Z	27 \| good	5.352 \| good	6.861 \| good	21.338 \| good	0.534 \| good	6.091 \| good	0.12 \| good
2025-11-07T23:00:00.000Z	27 \| good	4.929 \| good	6.248 \| good	22.449 \| good	0.433 \| good	5.618 \| good	0.121 \| good
2025-11-08T00:00:00.000Z	33 \| good	5.59 \| good	6.651 \| good	23.489 \| good	0.364 \| good	5.842 \| good	0.119 \| good
2025-11-08T01:00:00.000Z	33 \| good	5.824 \| good	7.141 \| good	22.201 \| good	0.311 \| good	5.806 \| good	0.12 \| good
2025-11-08T02:00:00.000Z	33 \| good	5.539 \| good	8.042 \| good	22.615 \| good	0.248 \| good	6.44 \| good	0.119 \| good
2025-11-08T03:00:00.000Z	33 \| good	5.891 \| good	8.752 \| good	22.917 \| good	0.263 \| good	6.178 \| good	0.119 \| good
2025-11-08T04:00:00.000Z	38 \| good	6.616 \| good	9.439 \| good	22.4 \| good	0.269 \| good	5.496 \| good	0.118 \| good
2025-11-08T05:00:00.000Z	38 \| good	6.905 \| good	9.802 \| good	21.969 \| good	0.304 \| good	4.863 \| good	0.117 \| good
2025-11-08T06:00:00.000Z	38 \| good	6.911 \| good	9.853 \| good	21.78 \| good	0.301 \| good	5.803 \| good	0.116 \| good
2025-11-08T07:00:00.000Z	38 \| good	6.877 \| good	9.91 \| good	21.729 \| good	0.361 \| good	5.997 \| good	0.116 \| good
2025-11-08T08:00:00.000Z	33 \| good	6.497 \| good	10.562 \| good	21.611 \| good	0.371 \| good	5.613 \| good	0.118 \| good
2025-11-08T09:00:00.000Z	33 \| good	5.951 \| good	8.814 \| good	23.392 \| good	0.34 \| good	4.19 \| good	0.12 \| good
2025-11-08T10:00:00.000Z	33 \| good	5.923 \| good	8.458 \| good	25.622 \| good	0.322 \| good	3.964 \| good	0.12 \| good
2025-11-08T11:00:00.000Z	27 \| good	5.157 \| good	8.162 \| good	27.574 \| good	0.307 \| good	3.912 \| good	0.122 \| good
2025-11-08T12:00:00.000Z	27 \| good	4.614 \| good	7.74 \| good	27.966 \| good	0.306 \| good	3.674 \| good	0.122 \| good
2025-11-08T13:00:00.000Z	28 \| good	4.193 \| good	7.349 \| good	29.943 \| good	0.271 \| good	3.259 \| good	0.122 \| good
2025-11-08T14:00:00.000Z	27 \| good	4.508 \| good	6.676 \| good	28.817 \| good	0.255 \| good	3.483 \| good	0.122 \| good
2025-11-08T15:00:00.000Z	27 \| good	3.983 \| good	6.158 \| good	28.864 \| good	0.252 \| good	4.096 \| good	0.121 \| good
2025-11-08T16:00:00.000Z	27 \| good	4.61 \| good	7.527 \| good	26.652 \| good	0.352 \| good	5.226 \| good	0.124 \| good
2025-11-08T17:00:00.000Z	33 \| good	6.106 \| good	9.62 \| good	23.611 \| good	0.499 \| good	7.482 \| good	0.131 \| good
2025-11-08T18:00:00.000Z	38 \| good	7.318 \| good	11.836 \| good	18.235 \| good	0.616 \| good	10.543 \| good	0.14 \| good
2025-11-08T19:00:00.000Z	49 \| good	9.015 \| good	13.308 \| good	16.414 \| good	0.767 \| good	12.355 \| good	0.148 \| good
2025-11-08T20:00:00.000Z	52 \| moderate	10.261 \| good	14.953 \| good	13.318 \| good	0.773 \| good	14.281 \| good	0.156 \| good
2025-11-08T21:00:00.000Z	54 \| moderate	11.079 \| good	16.452 \| good	11.547 \| good	0.847 \| good	14.396 \| good	0.161 \| good
2025-11-08T22:00:00.000Z	56 \| moderate	11.915 \| good	15.659 \| good	10.394 \| good	0.789 \| good	13.803 \| good	0.163 \| good
2025-11-08T23:00:00.000Z	56 \| moderate	12.205 \| fine	15.564 \| good	9.345 \| good	0.805 \| good	13.025 \| good	0.161 \| good
2025-11-09T00:00:00.000Z	56 \| moderate	12.306 \| fine	15.72 \| good	9.169 \| good	0.754 \| good	12.959 \| good	0.16 \| good
2025-11-09T01:00:00.000Z	58 \| moderate	12.863 \| fine	15.438 \| good	9.696 \| good	0.739 \| good	13.593 \| good	0.16 \| good
2025-11-09T02:00:00.000Z	58 \| moderate	12.921 \| fine	15.498 \| good	9.783 \| good	0.7 \| good	14.114 \| good	0.163 \| good
2025-11-09T03:00:00.000Z	58 \| moderate	12.822 \| fine	15.788 \| good	9.619 \| good	0.689 \| good	14.478 \| good	0.162 \| good
2025-11-09T04:00:00.000Z	58 \| moderate	13.461 \| fine	18.072 \| good	9.538 \| good	0.62 \| good	14.726 \| good	0.159 \| good
2025-11-09T05:00:00.000Z	58 \| moderate	13.312 \| fine	18.207 \| good	10.037 \| good	0.577 \| good	15.254 \| good	0.157 \| good
2025-11-09T06:00:00.000Z	58 \| moderate	13.167 \| fine	17.633 \| good	9.997 \| good	0.596 \| good	15.413 \| good	0.155 \| good
2025-11-09T07:00:00.000Z	58 \| moderate	13.227 \| fine	16.663 \| good	10.017 \| good	0.537 \| good	15.791 \| good	0.154 \| good
2025-11-09T08:00:00.000Z	58 \| moderate	13.004 \| fine	16.989 \| good	11.004 \| good	0.548 \| good	17.252 \| good	0.151 \| good
2025-11-09T09:00:00.000Z	56 \| moderate	12.196 \| fine	17.131 \| good	15.529 \| good	0.643 \| good	13.682 \| good	0.149 \| good
2025-11-09T10:00:00.000Z	52 \| moderate	10.289 \| good	15.529 \| good	21.239 \| good	0.804 \| good	10.562 \| good	0.14 \| good
2025-11-09T11:00:00.000Z	44 \| good	8.176 \| good	13.552 \| good	26.769 \| good	0.758 \| good	8.192 \| good	0.135 \| good
2025-11-09T12:00:00.000Z	38 \| good	6.648 \| good	11.885 \| good	26.287 \| good	0.593 \| good	6.505 \| good	0.125 \| good
2025-11-09T13:00:00.000Z	33 \| good	5.726 \| good	9.878 \| good	30.467 \| good	0.472 \| good	5.57 \| good	0.123 \| good
2025-11-09T14:00:00.000Z	33 \| good	5.816 \| good	9.519 \| good	30.662 \| good	0.391 \| good	5.543 \| good	0.121 \| good

Sawbridgeworth

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

0.01ppm

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 Sawbridgeworth, Hertfordshire updated?

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

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

The worst air quality in Sawbridgeworth, Hertfordshire was recorded at 10:00:00 on 2025-11-07.

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

The best air quality in Sawbridgeworth, Hertfordshire was recorded at 07:00:00 on 2025-11-07.

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

The real-time air quality index in Sawbridgeworth, Hertfordshire is 49, currently categorized as Good.

Which pollutant is found most often in Sawbridgeworth, Hertfordshire?

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

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

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

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

The measured PM_2.5 levels in Sawbridgeworth, Hertfordshire at present are 8.811 μg/m³.

What are the current PM₁₀ levels at Sawbridgeworth, Hertfordshire?

The current PM₁₀ levels in Sawbridgeworth, Hertfordshire are 26.193 μg/m³.

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

The current carbon monoxide (CO) level in Sawbridgeworth, Hertfordshire is 0.014 ppm.

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

The current sulfur dioxide (SO₂) levels in Sawbridgeworth, Hertfordshire are 0.704 ppb.

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

The current ozone (O₃) levels at Sawbridgeworth, Hertfordshire is 16.326 ppm.

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

The current nitrogen dioxide (NO₂) levels at Sawbridgeworth, Hertfordshire is 8.595 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-11-06T05:00:00.000Z	38 \| good	6.934 \| good	9.187 \| good	22.089 \| good	0.234 \| good	4.615 \| good	0.126 \| good
2025-11-06T06:00:00.000Z	27 \| good	5.46 \| good	23.136 \| good	18.287 \| good	0.805 \| good	7.681 \| good	0.013 \| good
2025-11-06T07:00:00.000Z	33 \| good	6.195 \| good	18.687 \| good	18.123 \| good	1.01 \| good	9.052 \| good	0.603 \| good
2025-11-06T08:00:00.000Z	27 \| good	5.303 \| good	21.148 \| good	15.003 \| good	0.853 \| good	8.519 \| good	0.016 \| good
2025-11-06T09:00:00.000Z	33 \| good	5.855 \| good	13.852 \| good	16.353 \| good	1.153 \| good	12.815 \| good	0.514 \| good
2025-11-06T10:00:00.000Z	44 \| good	8.122 \| good	16.241 \| good	17.406 \| good	1.002 \| good	12.435 \| good	0.012 \| good
2025-11-06T11:00:00.000Z	27 \| good	5.191 \| good	21.912 \| good	17.994 \| good	0.718 \| good	11.573 \| good	0.012 \| good
2025-11-06T12:00:00.000Z	33 \| good	5.965 \| good	20.28 \| good	15.702 \| good	0.889 \| good	12.806 \| good	0.008 \| good
2025-11-06T13:00:00.000Z	44 \| good	7.884 \| good	38.049 \| good	13.362 \| good	0.821 \| good	10.483 \| good	0.007 \| good
2025-11-06T14:00:00.000Z	33 \| good	6.014 \| good	20.28 \| good	16.086 \| good	1.067 \| good	12.745 \| good	0.007 \| good
2025-11-06T15:00:00.000Z	27 \| good	5.341 \| good	12.145 \| good	20.452 \| good	1.076 \| good	8.705 \| good	0.008 \| good
2025-11-06T16:00:00.000Z	27 \| good	4.729 \| good	17.845 \| good	20.263 \| good	0.999 \| good	13.893 \| good	0.011 \| good
2025-11-06T17:00:00.000Z	44 \| good	7.659 \| good	18.339 \| good	20.148 \| good	1.006 \| good	7.828 \| good	0.021 \| good
2025-11-06T18:00:00.000Z	33 \| good	5.629 \| good	13.9 \| good	21.153 \| good	0.956 \| good	14.399 \| good	0.022 \| good
2025-11-06T19:00:00.000Z	38 \| good	6.559 \| good	34.412 \| good	21.29 \| good	1.095 \| good	16.381 \| good	0.024 \| good
2025-11-06T20:00:00.000Z	37 \| good	5.2 \| good	39.827 \| good	18.386 \| good	0.885 \| good	20.586 \| good	0.027 \| good
2025-11-06T21:00:00.000Z	44 \| good	7.958 \| good	34.784 \| good	17.864 \| good	0.854 \| good	13.895 \| good	0.021 \| good
2025-11-06T22:00:00.000Z	33 \| good	6.208 \| good	14.406 \| good	13.769 \| good	1.052 \| good	10.168 \| good	0.026 \| good
2025-11-06T23:00:00.000Z	27 \| good	5.335 \| good	17.651 \| good	15.443 \| good	0.856 \| good	14.069 \| good	0.028 \| good
2025-11-07T00:00:00.000Z	49 \| good	9.357 \| good	46.544 \| good	13.692 \| good	1.438 \| good	12.715 \| good	0.553 \| good
2025-11-07T01:00:00.000Z	49 \| good	9.141 \| good	20.943 \| good	10.394 \| good	1.583 \| good	12.897 \| good	0.485 \| good
2025-11-07T02:00:00.000Z	52 \| moderate	9.724 \| good	29.865 \| good	9.156 \| good	1.772 \| good	10.528 \| good	0.441 \| good
2025-11-07T03:00:00.000Z	44 \| good	7.84 \| good	26.735 \| good	6.165 \| good	2.557 \| good	11.95 \| good	0.401 \| good
2025-11-07T04:00:00.000Z	44 \| good	7.849 \| good	23.273 \| good	4.977 \| good	2.882 \| good	10.871 \| good	0.34 \| good
2025-11-07T05:00:00.000Z	52 \| moderate	9.669 \| good	28.665 \| good	11.803 \| good	2.543 \| good	10.875 \| good	0.338 \| good
2025-11-07T06:00:00.000Z	44 \| good	8.044 \| good	14.921 \| good	14.296 \| good	2.718 \| good	15.732 \| good	0.01 \| good
2025-11-07T07:00:00.000Z	27 \| good	5.434 \| good	12.958 \| good	10.841 \| good	2.382 \| good	4.04 \| good	0.016 \| good
2025-11-07T08:00:00.000Z	52 \| moderate	9.681 \| good	19.61 \| good	11.443 \| good	0.843 \| good	5.534 \| good	0.012 \| good
2025-11-07T09:00:00.000Z	52 \| moderate	10.386 \| good	12.115 \| good	14.305 \| good	0.423 \| good	9.38 \| good	0.14 \| good
2025-11-07T10:00:00.000Z	49 \| good	9.438 \| good	10.681 \| good	15.208 \| good	0.479 \| good	9.096 \| good	0.142 \| good
2025-11-07T11:00:00.000Z	44 \| good	7.932 \| good	10.13 \| good	14.175 \| good	0.5 \| good	8.502 \| good	0.147 \| good
2025-11-07T12:00:00.000Z	38 \| good	7.299 \| good	9.672 \| good	18.016 \| good	0.403 \| good	7.826 \| good	0.148 \| good
2025-11-07T13:00:00.000Z	49 \| good	8.591 \| good	16.526 \| good	14.245 \| good	0.567 \| good	7.343 \| good	0.01 \| good
2025-11-07T14:00:00.000Z	49 \| good	8.811 \| good	26.193 \| good	16.326 \| good	0.704 \| good	8.595 \| good	0.014 \| good
2025-11-07T15:00:00.000Z	44 \| good	8.334 \| good	26 \| good	16.529 \| good	0.704 \| good	10.175 \| good	0.014 \| good
2025-11-07T16:00:00.000Z	38 \| good	6.926 \| good	17.053 \| good	17.019 \| good	1.877 \| good	11.429 \| good	0.015 \| good
2025-11-07T17:00:00.000Z	22 \| good	3.78 \| good	21.3 \| good	18.496 \| good	1.832 \| good	7.288 \| good	0.018 \| good
2025-11-07T18:00:00.000Z	38 \| good	7.237 \| good	14.801 \| good	21.082 \| good	2.118 \| good	10.028 \| good	0.022 \| good
2025-11-07T19:00:00.000Z	19 \| good	2.98 \| good	15.331 \| good	20.876 \| good	2.452 \| good	12.742 \| good	0.029 \| good
2025-11-07T20:00:00.000Z	52 \| moderate	9.603 \| good	34.074 \| good	22.471 \| good	2.112 \| good	13.166 \| good	0.026 \| good
2025-11-07T21:00:00.000Z	52 \| moderate	9.648 \| good	31.857 \| good	18.051 \| good	2.088 \| good	13.668 \| good	0.025 \| good
2025-11-07T22:00:00.000Z	52 \| moderate	9.625 \| good	22.181 \| good	20.832 \| good	2.13 \| good	11.455 \| good	0.029 \| good
2025-11-07T23:00:00.000Z	52 \| moderate	9.703 \| good	18.393 \| good	17.184 \| good	2.126 \| good	9.73 \| good	0.04 \| good
2025-11-08T00:00:00.000Z	22 \| good	4.325 \| good	11.314 \| good	21.349 \| good	2.114 \| good	4.628 \| good	0.861 \| good
2025-11-08T01:00:00.000Z	27 \| good	5.188 \| good	10.243 \| good	17.455 \| good	2.106 \| good	5.691 \| good	0.441 \| good
2025-11-08T02:00:00.000Z	33 \| good	6.378 \| good	23.487 \| good	16.21 \| good	1.898 \| good	8.122 \| good	0.332 \| good
2025-11-08T03:00:00.000Z	27 \| good	5.413 \| good	12.022 \| good	19.746 \| good	2.06 \| good	4.628 \| good	0.296 \| good
2025-11-08T04:00:00.000Z	27 \| good	5.413 \| good	12.022 \| good	19.746 \| good	2.06 \| good	4.628 \| good	0.296 \| good
2025-11-07T15:00:00.000Z	27 \| good	4.755 \| good	7.897 \| good	23.743 \| good	0.353 \| good	5.429 \| good	0.123 \| good
2025-11-07T16:00:00.000Z	22 \| good	4.432 \| good	7.828 \| good	22.876 \| good	0.353 \| good	6.358 \| good	0.124 \| good
2025-11-07T17:00:00.000Z	27 \| good	4.614 \| good	8.074 \| good	20.802 \| good	0.418 \| good	8.596 \| good	0.126 \| good
2025-11-07T18:00:00.000Z	27 \| good	5.217 \| good	8.407 \| good	19.62 \| good	0.536 \| good	10.217 \| good	0.129 \| good
2025-11-07T19:00:00.000Z	33 \| good	5.776 \| good	8.783 \| good	19.695 \| good	0.48 \| good	10.089 \| good	0.128 \| good
2025-11-07T20:00:00.000Z	33 \| good	6.326 \| good	8.913 \| good	19.946 \| good	0.524 \| good	8.91 \| good	0.126 \| good
2025-11-07T21:00:00.000Z	33 \| good	5.904 \| good	7.457 \| good	21.726 \| good	0.504 \| good	7.337 \| good	0.124 \| good
2025-11-07T22:00:00.000Z	27 \| good	5.352 \| good	6.861 \| good	21.338 \| good	0.534 \| good	6.091 \| good	0.12 \| good
2025-11-07T23:00:00.000Z	27 \| good	4.929 \| good	6.248 \| good	22.449 \| good	0.433 \| good	5.618 \| good	0.121 \| good
2025-11-08T00:00:00.000Z	33 \| good	5.59 \| good	6.651 \| good	23.489 \| good	0.364 \| good	5.842 \| good	0.119 \| good
2025-11-08T01:00:00.000Z	33 \| good	5.824 \| good	7.141 \| good	22.201 \| good	0.311 \| good	5.806 \| good	0.12 \| good
2025-11-08T02:00:00.000Z	33 \| good	5.539 \| good	8.042 \| good	22.615 \| good	0.248 \| good	6.44 \| good	0.119 \| good
2025-11-08T03:00:00.000Z	33 \| good	5.891 \| good	8.752 \| good	22.917 \| good	0.263 \| good	6.178 \| good	0.119 \| good
2025-11-08T04:00:00.000Z	38 \| good	6.616 \| good	9.439 \| good	22.4 \| good	0.269 \| good	5.496 \| good	0.118 \| good
2025-11-08T05:00:00.000Z	38 \| good	6.905 \| good	9.802 \| good	21.969 \| good	0.304 \| good	4.863 \| good	0.117 \| good
2025-11-08T06:00:00.000Z	38 \| good	6.911 \| good	9.853 \| good	21.78 \| good	0.301 \| good	5.803 \| good	0.116 \| good
2025-11-08T07:00:00.000Z	38 \| good	6.877 \| good	9.91 \| good	21.729 \| good	0.361 \| good	5.997 \| good	0.116 \| good
2025-11-08T08:00:00.000Z	33 \| good	6.497 \| good	10.562 \| good	21.611 \| good	0.371 \| good	5.613 \| good	0.118 \| good
2025-11-08T09:00:00.000Z	33 \| good	5.951 \| good	8.814 \| good	23.392 \| good	0.34 \| good	4.19 \| good	0.12 \| good
2025-11-08T10:00:00.000Z	33 \| good	5.923 \| good	8.458 \| good	25.622 \| good	0.322 \| good	3.964 \| good	0.12 \| good
2025-11-08T11:00:00.000Z	27 \| good	5.157 \| good	8.162 \| good	27.574 \| good	0.307 \| good	3.912 \| good	0.122 \| good
2025-11-08T12:00:00.000Z	27 \| good	4.614 \| good	7.74 \| good	27.966 \| good	0.306 \| good	3.674 \| good	0.122 \| good
2025-11-08T13:00:00.000Z	28 \| good	4.193 \| good	7.349 \| good	29.943 \| good	0.271 \| good	3.259 \| good	0.122 \| good
2025-11-08T14:00:00.000Z	27 \| good	4.508 \| good	6.676 \| good	28.817 \| good	0.255 \| good	3.483 \| good	0.122 \| good
2025-11-08T15:00:00.000Z	27 \| good	3.983 \| good	6.158 \| good	28.864 \| good	0.252 \| good	4.096 \| good	0.121 \| good
2025-11-08T16:00:00.000Z	27 \| good	4.61 \| good	7.527 \| good	26.652 \| good	0.352 \| good	5.226 \| good	0.124 \| good
2025-11-08T17:00:00.000Z	33 \| good	6.106 \| good	9.62 \| good	23.611 \| good	0.499 \| good	7.482 \| good	0.131 \| good
2025-11-08T18:00:00.000Z	38 \| good	7.318 \| good	11.836 \| good	18.235 \| good	0.616 \| good	10.543 \| good	0.14 \| good
2025-11-08T19:00:00.000Z	49 \| good	9.015 \| good	13.308 \| good	16.414 \| good	0.767 \| good	12.355 \| good	0.148 \| good
2025-11-08T20:00:00.000Z	52 \| moderate	10.261 \| good	14.953 \| good	13.318 \| good	0.773 \| good	14.281 \| good	0.156 \| good
2025-11-08T21:00:00.000Z	54 \| moderate	11.079 \| good	16.452 \| good	11.547 \| good	0.847 \| good	14.396 \| good	0.161 \| good
2025-11-08T22:00:00.000Z	56 \| moderate	11.915 \| good	15.659 \| good	10.394 \| good	0.789 \| good	13.803 \| good	0.163 \| good
2025-11-08T23:00:00.000Z	56 \| moderate	12.205 \| fine	15.564 \| good	9.345 \| good	0.805 \| good	13.025 \| good	0.161 \| good
2025-11-09T00:00:00.000Z	56 \| moderate	12.306 \| fine	15.72 \| good	9.169 \| good	0.754 \| good	12.959 \| good	0.16 \| good
2025-11-09T01:00:00.000Z	58 \| moderate	12.863 \| fine	15.438 \| good	9.696 \| good	0.739 \| good	13.593 \| good	0.16 \| good
2025-11-09T02:00:00.000Z	58 \| moderate	12.921 \| fine	15.498 \| good	9.783 \| good	0.7 \| good	14.114 \| good	0.163 \| good
2025-11-09T03:00:00.000Z	58 \| moderate	12.822 \| fine	15.788 \| good	9.619 \| good	0.689 \| good	14.478 \| good	0.162 \| good
2025-11-09T04:00:00.000Z	58 \| moderate	13.461 \| fine	18.072 \| good	9.538 \| good	0.62 \| good	14.726 \| good	0.159 \| good
2025-11-09T05:00:00.000Z	58 \| moderate	13.312 \| fine	18.207 \| good	10.037 \| good	0.577 \| good	15.254 \| good	0.157 \| good
2025-11-09T06:00:00.000Z	58 \| moderate	13.167 \| fine	17.633 \| good	9.997 \| good	0.596 \| good	15.413 \| good	0.155 \| good
2025-11-09T07:00:00.000Z	58 \| moderate	13.227 \| fine	16.663 \| good	10.017 \| good	0.537 \| good	15.791 \| good	0.154 \| good
2025-11-09T08:00:00.000Z	58 \| moderate	13.004 \| fine	16.989 \| good	11.004 \| good	0.548 \| good	17.252 \| good	0.151 \| good
2025-11-09T09:00:00.000Z	56 \| moderate	12.196 \| fine	17.131 \| good	15.529 \| good	0.643 \| good	13.682 \| good	0.149 \| good
2025-11-09T10:00:00.000Z	52 \| moderate	10.289 \| good	15.529 \| good	21.239 \| good	0.804 \| good	10.562 \| good	0.14 \| good
2025-11-09T11:00:00.000Z	44 \| good	8.176 \| good	13.552 \| good	26.769 \| good	0.758 \| good	8.192 \| good	0.135 \| good
2025-11-09T12:00:00.000Z	38 \| good	6.648 \| good	11.885 \| good	26.287 \| good	0.593 \| good	6.505 \| good	0.125 \| good
2025-11-09T13:00:00.000Z	33 \| good	5.726 \| good	9.878 \| good	30.467 \| good	0.472 \| good	5.57 \| good	0.123 \| good
2025-11-09T14:00:00.000Z	33 \| good	5.816 \| good	9.519 \| good	30.662 \| good	0.391 \| good	5.543 \| good	0.121 \| good

Real-time air quality index in Sawbridgeworth, Hertfordshire today

Common air pollutants in Sawbridgeworth, Hertfordshire

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Sawbridgeworth, Hertfordshire air quality forecast and history

Empower business decisions with accurate air quality data

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

Air quality in nearby cities

Bishop's Stortford, Hertfordshire

Harlow, Essex

Ware, Hertfordshire

Hoddesdon, Hertfordshire

Epping, Essex

Great Dunmow, Essex

How accurate is Hertfordshire, UK air quality data?

Air quality levels in UK

Frequently asked questions

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

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

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

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

Which pollutant is found most often in Sawbridgeworth, Hertfordshire?

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

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

What are the current PM10 levels at Sawbridgeworth, Hertfordshire?

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

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

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

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

What are the current PM₁₀ levels at Sawbridgeworth, Hertfordshire?

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

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

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