What are the current PM10 levels at Royston, Hertfordshire?

The current PM10 levels in Royston, Hertfordshire are 19.509 μg/m3.

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

The current sulfur dioxide (SO2) levels in Royston, Hertfordshire are 1.149 ppb.

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

The current ozone (O3) levels at Royston, Hertfordshire is 17.411 ppm.

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

The current nitrogen dioxide (NO2) levels at Royston, Hertfordshire is 9.246 ppb.

Real-time air quality index in Royston, Hertfordshire today

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

The measured PM2.5 levels in Royston, Hertfordshire at present are 5.874 μg/m3.

Stay updated with real-time air quality in Royston, 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

Royston, Hertfordshire

Last updated: ... (Local time)

Common air pollutants in Royston, Hertfordshire

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

6.66 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

29.08 μg/m³

155

255

425

605+

Ozone (O₃)

20.69 ppb

201

201+

Sulfur Dioxide (SO₂)

2.45 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

3.29 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.30 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

Royston, Hertfordshire

Get Live Pollen Counts

Royston, Hertfordshire

Scroll To Air Quality Map

Track live Royston, Hertfordshire air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-11-06T04:00:00.000Z	38 \| good	6.721 \| good	8.721 \| good	22.897 \| good	0.226 \| good	3.572 \| good	0.12 \| good
2025-11-06T05:00:00.000Z	38 \| good	6.872 \| good	8.787 \| good	22.478 \| good	0.212 \| good	3.499 \| good	0.12 \| good
2025-11-06T06:00:00.000Z	44 \| good	7.84 \| good	20.295 \| good	13.592 \| good	0.849 \| good	7.422 \| good	0.015 \| good
2025-11-06T07:00:00.000Z	38 \| good	6.922 \| good	18.919 \| good	17.451 \| good	1.113 \| good	5.752 \| good	0.603 \| good
2025-11-06T08:00:00.000Z	38 \| good	7.442 \| good	18.775 \| good	18.312 \| good	0.929 \| good	11.715 \| good	0.018 \| good
2025-11-06T09:00:00.000Z	33 \| good	5.865 \| good	15.216 \| good	15.934 \| good	1.265 \| good	9.761 \| good	0.514 \| good
2025-11-06T10:00:00.000Z	33 \| good	6.157 \| good	21.327 \| good	18.661 \| good	1.067 \| good	15.463 \| good	0.013 \| good
2025-11-06T11:00:00.000Z	33 \| good	6.107 \| good	15.46 \| good	16.478 \| good	0.716 \| good	18.695 \| good	0.013 \| good
2025-11-06T12:00:00.000Z	33 \| good	5.98 \| good	17.08 \| good	14.904 \| good	0.902 \| good	9.987 \| good	0.009 \| good
2025-11-06T13:00:00.000Z	33 \| good	5.607 \| good	20.88 \| good	11.526 \| good	0.98 \| good	9.853 \| good	0.008 \| good
2025-11-06T14:00:00.000Z	33 \| good	6.218 \| good	15.38 \| good	15.933 \| good	1.165 \| good	8.979 \| good	0.008 \| good
2025-11-06T15:00:00.000Z	33 \| good	5.874 \| good	19.509 \| good	17.411 \| good	1.149 \| good	9.246 \| good	0.009 \| good
2025-11-06T16:00:00.000Z	33 \| good	6.071 \| good	21.575 \| good	19.917 \| good	1.107 \| good	14.393 \| good	0.013 \| good
2025-11-06T17:00:00.000Z	44 \| good	8.157 \| good	22.014 \| good	15.32 \| good	1.125 \| good	9.868 \| good	0.023 \| good
2025-11-06T18:00:00.000Z	44 \| good	7.505 \| good	35.602 \| good	16.086 \| good	1.057 \| good	11.621 \| good	0.025 \| good
2025-11-06T19:00:00.000Z	38 \| good	6.961 \| good	19.599 \| good	16.32 \| good	1.138 \| good	13.87 \| good	0.026 \| good
2025-11-06T20:00:00.000Z	22 \| good	4.32 \| good	12.599 \| good	13.739 \| good	1.007 \| good	12.335 \| good	0.03 \| good
2025-11-06T21:00:00.000Z	33 \| good	5.922 \| good	21.472 \| good	19.853 \| good	1.039 \| good	10.536 \| good	0.024 \| good
2025-11-06T22:00:00.000Z	44 \| good	8.283 \| good	20.496 \| good	20.465 \| good	1.174 \| good	13.089 \| good	0.029 \| good
2025-11-06T23:00:00.000Z	38 \| good	7.086 \| good	27.6 \| good	15.671 \| good	0.895 \| good	12.379 \| good	0.032 \| good
2025-11-07T00:00:00.000Z	49 \| good	8.966 \| good	21.443 \| good	12.818 \| good	1.569 \| good	13.065 \| good	0.553 \| good
2025-11-07T01:00:00.000Z	49 \| good	8.975 \| good	24.978 \| good	8.549 \| good	1.76 \| good	11.981 \| good	0.485 \| good
2025-11-07T02:00:00.000Z	52 \| moderate	9.66 \| good	23.881 \| good	8.575 \| good	1.925 \| good	15.17 \| good	0.441 \| good
2025-11-07T03:00:00.000Z	44 \| good	7.968 \| good	22.271 \| good	7.006 \| good	3.022 \| good	8.245 \| good	0.401 \| good
2025-11-07T04:00:00.000Z	44 \| good	8.493 \| good	32.098 \| good	10.456 \| good	3.363 \| good	16.915 \| good	0.34 \| good
2025-11-07T05:00:00.000Z	49 \| good	8.915 \| good	26.808 \| good	13.636 \| good	3.018 \| good	10.252 \| good	0.338 \| good
2025-11-07T06:00:00.000Z	38 \| good	6.648 \| good	14.82 \| good	11.314 \| good	3.171 \| good	14.183 \| good	0.012 \| good
2025-11-07T07:00:00.000Z	38 \| good	7.195 \| good	26.192 \| good	11.948 \| good	2.909 \| good	3.596 \| good	0.017 \| good
2025-11-07T08:00:00.000Z	44 \| good	7.959 \| good	22.01 \| good	11.433 \| good	0.89 \| good	5.471 \| good	0.014 \| good
2025-11-07T09:00:00.000Z	52 \| moderate	10.474 \| good	11.99 \| good	15.68 \| good	0.342 \| good	7.443 \| good	0.137 \| good
2025-11-07T10:00:00.000Z	52 \| moderate	9.532 \| good	11.042 \| good	16.276 \| good	0.365 \| good	7.154 \| good	0.134 \| good
2025-11-07T11:00:00.000Z	44 \| good	8.403 \| good	9.612 \| good	15.92 \| good	0.397 \| good	8.214 \| good	0.134 \| good
2025-11-07T12:00:00.000Z	38 \| good	7.291 \| good	9.176 \| good	16.116 \| good	0.368 \| good	7.384 \| good	0.146 \| good
2025-11-07T13:00:00.000Z	49 \| good	8.647 \| good	36.3 \| good	14.51 \| good	0.526 \| good	6.866 \| good	0.012 \| good
2025-11-07T14:00:00.000Z	56 \| moderate	11.761 \| good	20.716 \| good	16.215 \| good	0.527 \| good	8.907 \| good	0.016 \| good
2025-11-07T15:00:00.000Z	54 \| moderate	10.597 \| good	17.52 \| good	18.566 \| good	0.531 \| good	8.488 \| good	0.016 \| good
2025-11-07T16:00:00.000Z	49 \| good	8.698 \| good	19.065 \| good	18.014 \| good	2.105 \| good	8.047 \| good	0.017 \| good
2025-11-07T17:00:00.000Z	31 \| good	5.441 \| good	33.211 \| good	17.919 \| good	2.344 \| good	6.991 \| good	0.02 \| good
2025-11-07T18:00:00.000Z	49 \| good	8.609 \| good	14.73 \| good	16.899 \| good	2.732 \| good	5.082 \| good	0.025 \| good
2025-11-07T19:00:00.000Z	44 \| good	7.782 \| good	14.69 \| good	18.434 \| good	2.849 \| good	5.941 \| good	0.032 \| good
2025-11-07T20:00:00.000Z	49 \| good	9.281 \| good	25.291 \| good	19.137 \| good	2.715 \| good	10.24 \| good	0.029 \| good
2025-11-07T21:00:00.000Z	44 \| good	8.29 \| good	25.73 \| good	22.329 \| good	2.541 \| good	7.61 \| good	0.028 \| good
2025-11-07T22:00:00.000Z	52 \| moderate	10.199 \| good	14.637 \| good	14.449 \| good	2.4 \| good	9.263 \| good	0.032 \| good
2025-11-07T23:00:00.000Z	44 \| good	7.597 \| good	19.3 \| good	17.477 \| good	2.349 \| good	10.233 \| good	0.045 \| good
2025-11-08T00:00:00.000Z	49 \| good	8.795 \| good	17.769 \| good	20.252 \| good	2.393 \| good	8.559 \| good	0.861 \| good
2025-11-08T01:00:00.000Z	38 \| good	7.088 \| good	16.478 \| good	17.423 \| good	2.478 \| good	6.212 \| good	0.441 \| good
2025-11-08T02:00:00.000Z	33 \| good	5.867 \| good	29.378 \| good	17.428 \| good	2.171 \| good	4.17 \| good	0.332 \| good
2025-11-08T03:00:00.000Z	38 \| good	6.658 \| good	29.082 \| good	20.694 \| good	2.453 \| good	3.286 \| good	0.296 \| good
2025-11-08T03:00:00.000Z	38 \| good	6.658 \| good	29.082 \| good	20.694 \| good	2.453 \| good	3.286 \| good	0.296 \| good
2025-11-06T17:00:00.000Z	49 \| good	8.524 \| good	10.638 \| good	7.008 \| good	0.753 \| good	19.458 \| good	0.146 \| good
2025-11-06T18:00:00.000Z	52 \| moderate	9.721 \| good	12.806 \| good	5.837 \| good	0.725 \| good	17.654 \| good	0.146 \| good
2025-11-06T19:00:00.000Z	54 \| moderate	10.715 \| good	13.618 \| good	7.477 \| good	0.777 \| good	17.931 \| good	0.143 \| good
2025-11-06T20:00:00.000Z	54 \| moderate	11.485 \| good	14.043 \| good	7.36 \| good	0.758 \| good	17.5 \| good	0.145 \| good
2025-11-06T21:00:00.000Z	58 \| moderate	12.666 \| fine	14.993 \| good	7.271 \| good	0.716 \| good	17.105 \| good	0.151 \| good
2025-11-06T22:00:00.000Z	60 \| moderate	14.038 \| fine	16.333 \| good	6.591 \| good	0.785 \| good	19.576 \| good	0.152 \| good
2025-11-06T23:00:00.000Z	58 \| moderate	13.234 \| fine	16.831 \| good	4.732 \| good	0.795 \| good	20.519 \| good	0.153 \| good
2025-11-07T00:00:00.000Z	54 \| moderate	11.403 \| good	15.785 \| good	4.787 \| good	0.746 \| good	19.316 \| good	0.151 \| good
2025-11-07T01:00:00.000Z	58 \| moderate	12.501 \| fine	16.037 \| good	6.725 \| good	0.675 \| good	17.023 \| good	0.15 \| good
2025-11-07T02:00:00.000Z	56 \| moderate	12.334 \| fine	15.43 \| good	7.905 \| good	0.557 \| good	14.09 \| good	0.142 \| good
2025-11-07T03:00:00.000Z	56 \| moderate	12.046 \| good	15.21 \| good	8.731 \| good	0.483 \| good	12.228 \| good	0.139 \| good
2025-11-07T04:00:00.000Z	56 \| moderate	11.915 \| good	14.866 \| good	10.106 \| good	0.368 \| good	11.668 \| good	0.138 \| good
2025-11-07T05:00:00.000Z	56 \| moderate	11.594 \| good	14.446 \| good	10.735 \| good	0.302 \| good	10.805 \| good	0.138 \| good
2025-11-07T06:00:00.000Z	54 \| moderate	11.282 \| good	13.867 \| good	11.146 \| good	0.304 \| good	9.865 \| good	0.136 \| good
2025-11-07T07:00:00.000Z	54 \| moderate	11.083 \| good	13.072 \| good	12.102 \| good	0.336 \| good	9.253 \| good	0.136 \| good
2025-11-07T08:00:00.000Z	54 \| moderate	10.959 \| good	13.357 \| good	15.323 \| good	0.349 \| good	7.96 \| good	0.139 \| good
2025-11-07T09:00:00.000Z	52 \| moderate	10.474 \| good	11.99 \| good	15.68 \| good	0.342 \| good	7.443 \| good	0.137 \| good
2025-11-07T10:00:00.000Z	52 \| moderate	9.532 \| good	11.042 \| good	16.276 \| good	0.365 \| good	7.154 \| good	0.134 \| good
2025-11-07T11:00:00.000Z	44 \| good	8.295 \| good	9.575 \| good	17.443 \| good	0.363 \| good	7.146 \| good	0.133 \| good
2025-11-07T12:00:00.000Z	44 \| good	7.638 \| good	9.582 \| good	18.513 \| good	0.371 \| good	6.224 \| good	0.131 \| good
2025-11-07T13:00:00.000Z	33 \| good	6.47 \| good	9.187 \| good	20.872 \| good	0.35 \| good	4.887 \| good	0.127 \| good
2025-11-07T14:00:00.000Z	27 \| good	5.407 \| good	7.884 \| good	23.816 \| good	0.301 \| good	4.299 \| good	0.122 \| good
2025-11-07T15:00:00.000Z	27 \| good	5.344 \| good	7.448 \| good	24.492 \| good	0.301 \| good	4.334 \| good	0.121 \| good
2025-11-07T16:00:00.000Z	33 \| good	5.685 \| good	8.137 \| good	22.814 \| good	0.31 \| good	5.114 \| good	0.122 \| good
2025-11-07T17:00:00.000Z	33 \| good	6.332 \| good	8.854 \| good	21.647 \| good	0.329 \| good	6.596 \| good	0.125 \| good
2025-11-07T18:00:00.000Z	33 \| good	6.483 \| good	9.048 \| good	20.333 \| good	0.379 \| good	7.345 \| good	0.127 \| good
2025-11-07T19:00:00.000Z	33 \| good	6.365 \| good	8.747 \| good	19.975 \| good	0.415 \| good	7.247 \| good	0.127 \| good
2025-11-07T20:00:00.000Z	33 \| good	5.945 \| good	8.279 \| good	20.202 \| good	0.461 \| good	7.253 \| good	0.126 \| good
2025-11-07T21:00:00.000Z	33 \| good	5.696 \| good	7.99 \| good	21.006 \| good	0.505 \| good	6.781 \| good	0.125 \| good
2025-11-07T22:00:00.000Z	33 \| good	5.663 \| good	8.238 \| good	20.129 \| good	0.528 \| good	6.683 \| good	0.122 \| good
2025-11-07T23:00:00.000Z	33 \| good	5.768 \| good	8.621 \| good	20.208 \| good	0.505 \| good	6.418 \| good	0.121 \| good
2025-11-08T00:00:00.000Z	33 \| good	5.792 \| good	8.495 \| good	20.743 \| good	0.474 \| good	6.184 \| good	0.12 \| good
2025-11-08T01:00:00.000Z	33 \| good	5.908 \| good	7.918 \| good	22.174 \| good	0.436 \| good	5.903 \| good	0.118 \| good
2025-11-08T02:00:00.000Z	33 \| good	6.155 \| good	8.08 \| good	22.926 \| good	0.385 \| good	5.075 \| good	0.117 \| good
2025-11-08T03:00:00.000Z	33 \| good	6.323 \| good	8.729 \| good	23.132 \| good	0.331 \| good	4.899 \| good	0.118 \| good
2025-11-08T04:00:00.000Z	38 \| good	6.937 \| good	9.271 \| good	21.891 \| good	0.293 \| good	5.174 \| good	0.119 \| good
2025-11-08T05:00:00.000Z	38 \| good	7.377 \| good	9.887 \| good	21.378 \| good	0.272 \| good	5.034 \| good	0.119 \| good
2025-11-08T06:00:00.000Z	44 \| good	7.921 \| good	10.838 \| good	20.317 \| good	0.299 \| good	4.775 \| good	0.119 \| good
2025-11-08T07:00:00.000Z	44 \| good	7.854 \| good	11.79 \| good	20.966 \| good	0.368 \| good	5.123 \| good	0.122 \| good
2025-11-08T08:00:00.000Z	44 \| good	8.263 \| good	12.529 \| good	20.391 \| good	0.345 \| good	5.709 \| good	0.125 \| good
2025-11-08T09:00:00.000Z	44 \| good	8.282 \| good	13.858 \| good	19.233 \| good	0.322 \| good	6.322 \| good	0.126 \| good
2025-11-08T10:00:00.000Z	38 \| good	7.253 \| good	13.431 \| good	24.725 \| good	0.305 \| good	5.356 \| good	0.124 \| good
2025-11-08T11:00:00.000Z	38 \| good	6.668 \| good	12.694 \| good	24.843 \| good	0.291 \| good	4.744 \| good	0.126 \| good
2025-11-08T12:00:00.000Z	33 \| good	6.261 \| good	12.332 \| good	24.675 \| good	0.311 \| good	5.061 \| good	0.126 \| good
2025-11-08T13:00:00.000Z	33 \| good	5.687 \| good	11.249 \| good	24.827 \| good	0.264 \| good	4.907 \| good	0.121 \| good
2025-11-08T14:00:00.000Z	27 \| good	4.752 \| good	9.663 \| good	26.837 \| good	0.265 \| good	4.546 \| good	0.121 \| good
2025-11-08T15:00:00.000Z	28 \| good	4.277 \| good	8.565 \| good	29.736 \| good	0.236 \| good	4.503 \| good	0.122 \| good
2025-11-08T16:00:00.000Z	27 \| good	4.514 \| good	9.317 \| good	28.248 \| good	0.28 \| good	4.995 \| good	0.124 \| good

Royston

Empower business decisions with accurate air quality data

Royston, 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 Royston, Hertfordshire updated?

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

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

The worst air quality in Royston, Hertfordshire was recorded at 06:00:00 on 2025-11-06.

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

The best air quality in Royston, Hertfordshire was recorded at 06:00:00 on 2025-11-05.

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

The real-time air quality index in Royston, Hertfordshire is 33, currently categorized as Good.

Which pollutant is found most often in Royston, Hertfordshire?

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

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

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

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

The measured PM_2.5 levels in Royston, Hertfordshire at present are 5.874 μg/m³.

What are the current PM₁₀ levels at Royston, Hertfordshire?

The current PM₁₀ levels in Royston, Hertfordshire are 19.509 μg/m³.

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

The current carbon monoxide (CO) level in Royston, Hertfordshire is 0.009 ppm.

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

The current sulfur dioxide (SO₂) levels in Royston, Hertfordshire are 1.149 ppb.

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

The current ozone (O₃) levels at Royston, Hertfordshire is 17.411 ppm.

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

The current nitrogen dioxide (NO₂) levels at Royston, Hertfordshire is 9.246 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-11-06T04:00:00.000Z	38 \| good	6.721 \| good	8.721 \| good	22.897 \| good	0.226 \| good	3.572 \| good	0.12 \| good
2025-11-06T05:00:00.000Z	38 \| good	6.872 \| good	8.787 \| good	22.478 \| good	0.212 \| good	3.499 \| good	0.12 \| good
2025-11-06T06:00:00.000Z	44 \| good	7.84 \| good	20.295 \| good	13.592 \| good	0.849 \| good	7.422 \| good	0.015 \| good
2025-11-06T07:00:00.000Z	38 \| good	6.922 \| good	18.919 \| good	17.451 \| good	1.113 \| good	5.752 \| good	0.603 \| good
2025-11-06T08:00:00.000Z	38 \| good	7.442 \| good	18.775 \| good	18.312 \| good	0.929 \| good	11.715 \| good	0.018 \| good
2025-11-06T09:00:00.000Z	33 \| good	5.865 \| good	15.216 \| good	15.934 \| good	1.265 \| good	9.761 \| good	0.514 \| good
2025-11-06T10:00:00.000Z	33 \| good	6.157 \| good	21.327 \| good	18.661 \| good	1.067 \| good	15.463 \| good	0.013 \| good
2025-11-06T11:00:00.000Z	33 \| good	6.107 \| good	15.46 \| good	16.478 \| good	0.716 \| good	18.695 \| good	0.013 \| good
2025-11-06T12:00:00.000Z	33 \| good	5.98 \| good	17.08 \| good	14.904 \| good	0.902 \| good	9.987 \| good	0.009 \| good
2025-11-06T13:00:00.000Z	33 \| good	5.607 \| good	20.88 \| good	11.526 \| good	0.98 \| good	9.853 \| good	0.008 \| good
2025-11-06T14:00:00.000Z	33 \| good	6.218 \| good	15.38 \| good	15.933 \| good	1.165 \| good	8.979 \| good	0.008 \| good
2025-11-06T15:00:00.000Z	33 \| good	5.874 \| good	19.509 \| good	17.411 \| good	1.149 \| good	9.246 \| good	0.009 \| good
2025-11-06T16:00:00.000Z	33 \| good	6.071 \| good	21.575 \| good	19.917 \| good	1.107 \| good	14.393 \| good	0.013 \| good
2025-11-06T17:00:00.000Z	44 \| good	8.157 \| good	22.014 \| good	15.32 \| good	1.125 \| good	9.868 \| good	0.023 \| good
2025-11-06T18:00:00.000Z	44 \| good	7.505 \| good	35.602 \| good	16.086 \| good	1.057 \| good	11.621 \| good	0.025 \| good
2025-11-06T19:00:00.000Z	38 \| good	6.961 \| good	19.599 \| good	16.32 \| good	1.138 \| good	13.87 \| good	0.026 \| good
2025-11-06T20:00:00.000Z	22 \| good	4.32 \| good	12.599 \| good	13.739 \| good	1.007 \| good	12.335 \| good	0.03 \| good
2025-11-06T21:00:00.000Z	33 \| good	5.922 \| good	21.472 \| good	19.853 \| good	1.039 \| good	10.536 \| good	0.024 \| good
2025-11-06T22:00:00.000Z	44 \| good	8.283 \| good	20.496 \| good	20.465 \| good	1.174 \| good	13.089 \| good	0.029 \| good
2025-11-06T23:00:00.000Z	38 \| good	7.086 \| good	27.6 \| good	15.671 \| good	0.895 \| good	12.379 \| good	0.032 \| good
2025-11-07T00:00:00.000Z	49 \| good	8.966 \| good	21.443 \| good	12.818 \| good	1.569 \| good	13.065 \| good	0.553 \| good
2025-11-07T01:00:00.000Z	49 \| good	8.975 \| good	24.978 \| good	8.549 \| good	1.76 \| good	11.981 \| good	0.485 \| good
2025-11-07T02:00:00.000Z	52 \| moderate	9.66 \| good	23.881 \| good	8.575 \| good	1.925 \| good	15.17 \| good	0.441 \| good
2025-11-07T03:00:00.000Z	44 \| good	7.968 \| good	22.271 \| good	7.006 \| good	3.022 \| good	8.245 \| good	0.401 \| good
2025-11-07T04:00:00.000Z	44 \| good	8.493 \| good	32.098 \| good	10.456 \| good	3.363 \| good	16.915 \| good	0.34 \| good
2025-11-07T05:00:00.000Z	49 \| good	8.915 \| good	26.808 \| good	13.636 \| good	3.018 \| good	10.252 \| good	0.338 \| good
2025-11-07T06:00:00.000Z	38 \| good	6.648 \| good	14.82 \| good	11.314 \| good	3.171 \| good	14.183 \| good	0.012 \| good
2025-11-07T07:00:00.000Z	38 \| good	7.195 \| good	26.192 \| good	11.948 \| good	2.909 \| good	3.596 \| good	0.017 \| good
2025-11-07T08:00:00.000Z	44 \| good	7.959 \| good	22.01 \| good	11.433 \| good	0.89 \| good	5.471 \| good	0.014 \| good
2025-11-07T09:00:00.000Z	52 \| moderate	10.474 \| good	11.99 \| good	15.68 \| good	0.342 \| good	7.443 \| good	0.137 \| good
2025-11-07T10:00:00.000Z	52 \| moderate	9.532 \| good	11.042 \| good	16.276 \| good	0.365 \| good	7.154 \| good	0.134 \| good
2025-11-07T11:00:00.000Z	44 \| good	8.403 \| good	9.612 \| good	15.92 \| good	0.397 \| good	8.214 \| good	0.134 \| good
2025-11-07T12:00:00.000Z	38 \| good	7.291 \| good	9.176 \| good	16.116 \| good	0.368 \| good	7.384 \| good	0.146 \| good
2025-11-07T13:00:00.000Z	49 \| good	8.647 \| good	36.3 \| good	14.51 \| good	0.526 \| good	6.866 \| good	0.012 \| good
2025-11-07T14:00:00.000Z	56 \| moderate	11.761 \| good	20.716 \| good	16.215 \| good	0.527 \| good	8.907 \| good	0.016 \| good
2025-11-07T15:00:00.000Z	54 \| moderate	10.597 \| good	17.52 \| good	18.566 \| good	0.531 \| good	8.488 \| good	0.016 \| good
2025-11-07T16:00:00.000Z	49 \| good	8.698 \| good	19.065 \| good	18.014 \| good	2.105 \| good	8.047 \| good	0.017 \| good
2025-11-07T17:00:00.000Z	31 \| good	5.441 \| good	33.211 \| good	17.919 \| good	2.344 \| good	6.991 \| good	0.02 \| good
2025-11-07T18:00:00.000Z	49 \| good	8.609 \| good	14.73 \| good	16.899 \| good	2.732 \| good	5.082 \| good	0.025 \| good
2025-11-07T19:00:00.000Z	44 \| good	7.782 \| good	14.69 \| good	18.434 \| good	2.849 \| good	5.941 \| good	0.032 \| good
2025-11-07T20:00:00.000Z	49 \| good	9.281 \| good	25.291 \| good	19.137 \| good	2.715 \| good	10.24 \| good	0.029 \| good
2025-11-07T21:00:00.000Z	44 \| good	8.29 \| good	25.73 \| good	22.329 \| good	2.541 \| good	7.61 \| good	0.028 \| good
2025-11-07T22:00:00.000Z	52 \| moderate	10.199 \| good	14.637 \| good	14.449 \| good	2.4 \| good	9.263 \| good	0.032 \| good
2025-11-07T23:00:00.000Z	44 \| good	7.597 \| good	19.3 \| good	17.477 \| good	2.349 \| good	10.233 \| good	0.045 \| good
2025-11-08T00:00:00.000Z	49 \| good	8.795 \| good	17.769 \| good	20.252 \| good	2.393 \| good	8.559 \| good	0.861 \| good
2025-11-08T01:00:00.000Z	38 \| good	7.088 \| good	16.478 \| good	17.423 \| good	2.478 \| good	6.212 \| good	0.441 \| good
2025-11-08T02:00:00.000Z	33 \| good	5.867 \| good	29.378 \| good	17.428 \| good	2.171 \| good	4.17 \| good	0.332 \| good
2025-11-08T03:00:00.000Z	38 \| good	6.658 \| good	29.082 \| good	20.694 \| good	2.453 \| good	3.286 \| good	0.296 \| good
2025-11-08T03:00:00.000Z	38 \| good	6.658 \| good	29.082 \| good	20.694 \| good	2.453 \| good	3.286 \| good	0.296 \| good
2025-11-06T17:00:00.000Z	49 \| good	8.524 \| good	10.638 \| good	7.008 \| good	0.753 \| good	19.458 \| good	0.146 \| good
2025-11-06T18:00:00.000Z	52 \| moderate	9.721 \| good	12.806 \| good	5.837 \| good	0.725 \| good	17.654 \| good	0.146 \| good
2025-11-06T19:00:00.000Z	54 \| moderate	10.715 \| good	13.618 \| good	7.477 \| good	0.777 \| good	17.931 \| good	0.143 \| good
2025-11-06T20:00:00.000Z	54 \| moderate	11.485 \| good	14.043 \| good	7.36 \| good	0.758 \| good	17.5 \| good	0.145 \| good
2025-11-06T21:00:00.000Z	58 \| moderate	12.666 \| fine	14.993 \| good	7.271 \| good	0.716 \| good	17.105 \| good	0.151 \| good
2025-11-06T22:00:00.000Z	60 \| moderate	14.038 \| fine	16.333 \| good	6.591 \| good	0.785 \| good	19.576 \| good	0.152 \| good
2025-11-06T23:00:00.000Z	58 \| moderate	13.234 \| fine	16.831 \| good	4.732 \| good	0.795 \| good	20.519 \| good	0.153 \| good
2025-11-07T00:00:00.000Z	54 \| moderate	11.403 \| good	15.785 \| good	4.787 \| good	0.746 \| good	19.316 \| good	0.151 \| good
2025-11-07T01:00:00.000Z	58 \| moderate	12.501 \| fine	16.037 \| good	6.725 \| good	0.675 \| good	17.023 \| good	0.15 \| good
2025-11-07T02:00:00.000Z	56 \| moderate	12.334 \| fine	15.43 \| good	7.905 \| good	0.557 \| good	14.09 \| good	0.142 \| good
2025-11-07T03:00:00.000Z	56 \| moderate	12.046 \| good	15.21 \| good	8.731 \| good	0.483 \| good	12.228 \| good	0.139 \| good
2025-11-07T04:00:00.000Z	56 \| moderate	11.915 \| good	14.866 \| good	10.106 \| good	0.368 \| good	11.668 \| good	0.138 \| good
2025-11-07T05:00:00.000Z	56 \| moderate	11.594 \| good	14.446 \| good	10.735 \| good	0.302 \| good	10.805 \| good	0.138 \| good
2025-11-07T06:00:00.000Z	54 \| moderate	11.282 \| good	13.867 \| good	11.146 \| good	0.304 \| good	9.865 \| good	0.136 \| good
2025-11-07T07:00:00.000Z	54 \| moderate	11.083 \| good	13.072 \| good	12.102 \| good	0.336 \| good	9.253 \| good	0.136 \| good
2025-11-07T08:00:00.000Z	54 \| moderate	10.959 \| good	13.357 \| good	15.323 \| good	0.349 \| good	7.96 \| good	0.139 \| good
2025-11-07T09:00:00.000Z	52 \| moderate	10.474 \| good	11.99 \| good	15.68 \| good	0.342 \| good	7.443 \| good	0.137 \| good
2025-11-07T10:00:00.000Z	52 \| moderate	9.532 \| good	11.042 \| good	16.276 \| good	0.365 \| good	7.154 \| good	0.134 \| good
2025-11-07T11:00:00.000Z	44 \| good	8.295 \| good	9.575 \| good	17.443 \| good	0.363 \| good	7.146 \| good	0.133 \| good
2025-11-07T12:00:00.000Z	44 \| good	7.638 \| good	9.582 \| good	18.513 \| good	0.371 \| good	6.224 \| good	0.131 \| good
2025-11-07T13:00:00.000Z	33 \| good	6.47 \| good	9.187 \| good	20.872 \| good	0.35 \| good	4.887 \| good	0.127 \| good
2025-11-07T14:00:00.000Z	27 \| good	5.407 \| good	7.884 \| good	23.816 \| good	0.301 \| good	4.299 \| good	0.122 \| good
2025-11-07T15:00:00.000Z	27 \| good	5.344 \| good	7.448 \| good	24.492 \| good	0.301 \| good	4.334 \| good	0.121 \| good
2025-11-07T16:00:00.000Z	33 \| good	5.685 \| good	8.137 \| good	22.814 \| good	0.31 \| good	5.114 \| good	0.122 \| good
2025-11-07T17:00:00.000Z	33 \| good	6.332 \| good	8.854 \| good	21.647 \| good	0.329 \| good	6.596 \| good	0.125 \| good
2025-11-07T18:00:00.000Z	33 \| good	6.483 \| good	9.048 \| good	20.333 \| good	0.379 \| good	7.345 \| good	0.127 \| good
2025-11-07T19:00:00.000Z	33 \| good	6.365 \| good	8.747 \| good	19.975 \| good	0.415 \| good	7.247 \| good	0.127 \| good
2025-11-07T20:00:00.000Z	33 \| good	5.945 \| good	8.279 \| good	20.202 \| good	0.461 \| good	7.253 \| good	0.126 \| good
2025-11-07T21:00:00.000Z	33 \| good	5.696 \| good	7.99 \| good	21.006 \| good	0.505 \| good	6.781 \| good	0.125 \| good
2025-11-07T22:00:00.000Z	33 \| good	5.663 \| good	8.238 \| good	20.129 \| good	0.528 \| good	6.683 \| good	0.122 \| good
2025-11-07T23:00:00.000Z	33 \| good	5.768 \| good	8.621 \| good	20.208 \| good	0.505 \| good	6.418 \| good	0.121 \| good
2025-11-08T00:00:00.000Z	33 \| good	5.792 \| good	8.495 \| good	20.743 \| good	0.474 \| good	6.184 \| good	0.12 \| good
2025-11-08T01:00:00.000Z	33 \| good	5.908 \| good	7.918 \| good	22.174 \| good	0.436 \| good	5.903 \| good	0.118 \| good
2025-11-08T02:00:00.000Z	33 \| good	6.155 \| good	8.08 \| good	22.926 \| good	0.385 \| good	5.075 \| good	0.117 \| good
2025-11-08T03:00:00.000Z	33 \| good	6.323 \| good	8.729 \| good	23.132 \| good	0.331 \| good	4.899 \| good	0.118 \| good
2025-11-08T04:00:00.000Z	38 \| good	6.937 \| good	9.271 \| good	21.891 \| good	0.293 \| good	5.174 \| good	0.119 \| good
2025-11-08T05:00:00.000Z	38 \| good	7.377 \| good	9.887 \| good	21.378 \| good	0.272 \| good	5.034 \| good	0.119 \| good
2025-11-08T06:00:00.000Z	44 \| good	7.921 \| good	10.838 \| good	20.317 \| good	0.299 \| good	4.775 \| good	0.119 \| good
2025-11-08T07:00:00.000Z	44 \| good	7.854 \| good	11.79 \| good	20.966 \| good	0.368 \| good	5.123 \| good	0.122 \| good
2025-11-08T08:00:00.000Z	44 \| good	8.263 \| good	12.529 \| good	20.391 \| good	0.345 \| good	5.709 \| good	0.125 \| good
2025-11-08T09:00:00.000Z	44 \| good	8.282 \| good	13.858 \| good	19.233 \| good	0.322 \| good	6.322 \| good	0.126 \| good
2025-11-08T10:00:00.000Z	38 \| good	7.253 \| good	13.431 \| good	24.725 \| good	0.305 \| good	5.356 \| good	0.124 \| good
2025-11-08T11:00:00.000Z	38 \| good	6.668 \| good	12.694 \| good	24.843 \| good	0.291 \| good	4.744 \| good	0.126 \| good
2025-11-08T12:00:00.000Z	33 \| good	6.261 \| good	12.332 \| good	24.675 \| good	0.311 \| good	5.061 \| good	0.126 \| good
2025-11-08T13:00:00.000Z	33 \| good	5.687 \| good	11.249 \| good	24.827 \| good	0.264 \| good	4.907 \| good	0.121 \| good
2025-11-08T14:00:00.000Z	27 \| good	4.752 \| good	9.663 \| good	26.837 \| good	0.265 \| good	4.546 \| good	0.121 \| good
2025-11-08T15:00:00.000Z	28 \| good	4.277 \| good	8.565 \| good	29.736 \| good	0.236 \| good	4.503 \| good	0.122 \| good
2025-11-08T16:00:00.000Z	27 \| good	4.514 \| good	9.317 \| good	28.248 \| good	0.28 \| good	4.995 \| good	0.124 \| good

Real-time air quality index in Royston, Hertfordshire today

Common air pollutants in Royston, Hertfordshire

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Royston, Hertfordshire air quality forecast and history

Empower business decisions with accurate air quality data

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

Air quality in nearby cities

Baldock, Hertfordshire

Stotfold, Central Bedfordshire

Letchworth, Hertfordshire

Biggleswade, Central Bedfordshire

Saffron Walden, Essex

Cambourne, Cambridgeshire

How accurate is Hertfordshire, UK air quality data?

Air quality levels in UK

Frequently asked questions

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

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

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

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

Which pollutant is found most often in Royston, Hertfordshire?

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

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

What are the current PM10 levels at Royston, Hertfordshire?

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

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

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

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

What are the current PM₁₀ levels at Royston, Hertfordshire?

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

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

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