What is the current concentration of PM10 in Guiseley, West Yorkshire?

The current PM10 concentration at Guiseley, West Yorkshire is 13.157 μg/m3.

What is the current concentration of sulfur dioxide (SO2) in Guiseley, West Yorkshire?

The current sulfur dioxide (SO2) concentration at Guiseley, West Yorkshire is 0.407 ppb.

What is the current concentration of ozone (O3) in Guiseley, West Yorkshire?

The current ozone (O3) concentration at Guiseley, West Yorkshire is 28.739 ppm.

What is the current concentration of nitrogen dioxide (NO2) in Guiseley, West Yorkshire?

The current nitrogen dioxide (NO2) concentration at Guiseley, West Yorkshire is 8.582 ppb.

Guiseley, West Yorkshire live air quality index now

Q: What is the current concentration of PM2.5 in Guiseley, West Yorkshire?

The current PM2.5 concentration at Guiseley, West Yorkshire is 5.693 μg/m3.

Stay updated with real-time air quality in Guiseley, West Yorkshire 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

Guiseley, West Yorkshire

Last updated: ... (Local time)

Major air pollutants in Guiseley, West Yorkshire

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

5.69 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

13.16 μg/m³

155

255

425

605+

Ozone (O₃)

28.74 ppb

201

201+

Sulfur Dioxide (SO₂)

0.41 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

8.58 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.05 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

Guiseley, West Yorkshire

Get Live Pollen Counts

Guiseley, West Yorkshire

Scroll To Air Quality Map

Track live Guiseley, West Yorkshire air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-11-15T16:00:00.000Z	27 \| good	4.265 \| good	7.188 \| good	29.282 \| good	0.501 \| good	24.051 \| good	0.112 \| good
2025-11-15T17:00:00.000Z	25 \| good	4.306 \| good	9.773 \| good	26.669 \| good	0.448 \| good	21.612 \| good	0.178 \| good
2025-11-15T18:00:00.000Z	23 \| good	3.431 \| good	6.418 \| good	24.451 \| good	0.664 \| good	24.197 \| good	0.247 \| good
2025-11-15T19:00:00.000Z	25 \| good	3.423 \| good	10.733 \| good	25.243 \| good	0.478 \| good	26.525 \| good	0.218 \| good
2025-11-15T20:00:00.000Z	26 \| good	2.816 \| good	7.928 \| good	27.694 \| good	0.466 \| good	18.64 \| good	0.304 \| good
2025-11-15T21:00:00.000Z	25 \| good	3.495 \| good	11.441 \| good	27.191 \| good	0.444 \| good	23.074 \| good	0.262 \| good
2025-11-15T22:00:00.000Z	26 \| good	3.464 \| good	9.243 \| good	27.779 \| good	0.445 \| good	17.702 \| good	0.332 \| good
2025-11-15T23:00:00.000Z	26 \| good	3.535 \| good	8.54 \| good	28.092 \| good	0.445 \| good	20.442 \| good	0.173 \| good
2025-11-16T00:00:00.000Z	25 \| good	3.874 \| good	8.618 \| good	26.775 \| good	0.452 \| good	19.77 \| good	0.989 \| good
2025-11-16T01:00:00.000Z	24 \| good	3.894 \| good	6.797 \| good	26.403 \| good	0.454 \| good	14.802 \| good	1.449 \| good
2025-11-16T02:00:00.000Z	26 \| good	4.057 \| good	7.252 \| good	28.428 \| good	0.452 \| good	12.131 \| good	1.34 \| good
2025-11-16T03:00:00.000Z	26 \| good	4.302 \| good	7.109 \| good	28.431 \| good	0.497 \| good	9.664 \| good	0.879 \| good
2025-11-16T04:00:00.000Z	27 \| good	4.749 \| good	9.604 \| good	28.748 \| good	0.452 \| good	9.321 \| good	0.744 \| good
2025-11-16T05:00:00.000Z	28 \| good	4.434 \| good	7.547 \| good	29.836 \| good	0.452 \| good	7.371 \| good	0.736 \| good
2025-11-16T06:00:00.000Z	28 \| good	4.29 \| good	8.728 \| good	30.235 \| good	0.454 \| good	4.218 \| good	0.093 \| good
2025-11-16T07:00:00.000Z	27 \| good	4.428 \| good	10.387 \| good	29.236 \| good	0.633 \| good	3.878 \| good	0.105 \| good
2025-11-16T08:00:00.000Z	27 \| good	5.4 \| good	8.482 \| good	28.727 \| good	0.445 \| good	7.098 \| good	0.118 \| good
2025-11-16T09:00:00.000Z	33 \| good	5.607 \| good	9.811 \| good	29.298 \| good	0.439 \| good	8.445 \| good	0.107 \| good
2025-11-16T10:00:00.000Z	33 \| good	5.661 \| good	11.887 \| good	29.595 \| good	0.465 \| good	8.879 \| good	0.109 \| good
2025-11-16T11:00:00.000Z	33 \| good	5.659 \| good	11.134 \| good	29.137 \| good	0.492 \| good	13.85 \| good	0.092 \| good
2025-11-16T12:00:00.000Z	28 \| good	5.007 \| good	11.691 \| good	30.205 \| good	0.45 \| good	15.886 \| good	0.067 \| good
2025-11-16T13:00:00.000Z	33 \| good	5.506 \| good	11.611 \| good	31.83 \| good	0.702 \| good	18.214 \| good	0.06 \| good
2025-11-16T14:00:00.000Z	33 \| good	5.569 \| good	10.994 \| good	31.423 \| good	0.513 \| good	17.566 \| good	0.062 \| good
2025-11-16T15:00:00.000Z	33 \| good	5.509 \| good	11.984 \| good	32.974 \| good	0.511 \| good	20.264 \| good	0.078 \| good
2025-11-16T16:00:00.000Z	31 \| good	5.428 \| good	12.141 \| good	32.567 \| good	0.563 \| good	22.918 \| good	0.173 \| good
2025-11-16T17:00:00.000Z	29 \| good	5.132 \| good	10.769 \| good	30.531 \| good	0.383 \| good	18.904 \| good	0.181 \| good
2025-11-16T18:00:00.000Z	28 \| good	5.3 \| good	13.69 \| good	29.874 \| good	0.383 \| good	20.487 \| good	0.199 \| good
2025-11-16T19:00:00.000Z	33 \| good	5.793 \| good	15.403 \| good	28.914 \| good	0.541 \| good	25.674 \| good	0.177 \| good
2025-11-16T20:00:00.000Z	33 \| good	5.982 \| good	14.155 \| good	26.782 \| good	0.466 \| good	25.078 \| good	0.185 \| good
2025-11-16T21:00:00.000Z	27 \| good	5.381 \| good	12.792 \| good	25.621 \| good	0.645 \| good	13.703 \| good	0.166 \| good
2025-11-16T22:00:00.000Z	27 \| good	5.321 \| good	13.941 \| good	23.908 \| good	0.467 \| good	14.339 \| good	0.224 \| good
2025-11-16T23:00:00.000Z	27 \| good	5.319 \| good	12.639 \| good	23.415 \| good	0.45 \| good	11.648 \| good	0.215 \| good
2025-11-17T00:00:00.000Z	22 \| good	4.483 \| good	13.739 \| good	23.775 \| good	0.473 \| good	9.156 \| good	1.205 \| good
2025-11-17T01:00:00.000Z	27 \| good	5.198 \| good	14.64 \| good	22.824 \| good	0.454 \| good	8.645 \| good	0.918 \| good
2025-11-17T02:00:00.000Z	27 \| good	5.469 \| good	14.779 \| good	24.629 \| good	0.453 \| good	4.333 \| good	0.701 \| good
2025-11-17T03:00:00.000Z	27 \| good	5.368 \| good	14.499 \| good	26.012 \| good	0.635 \| good	2.3 \| good	0.451 \| good
2025-11-17T04:00:00.000Z	27 \| good	5.292 \| good	14.607 \| good	27.769 \| good	0.452 \| good	2.196 \| good	0.389 \| good
2025-11-17T05:00:00.000Z	27 \| good	5.271 \| good	12.137 \| good	28.594 \| good	0.506 \| good	1.349 \| good	0.294 \| good
2025-11-17T06:00:00.000Z	27 \| good	5.256 \| good	12.365 \| good	28.643 \| good	0.382 \| good	1.566 \| good	0.042 \| good
2025-11-17T07:00:00.000Z	33 \| good	5.506 \| good	11.935 \| good	28.436 \| good	0.382 \| good	2.835 \| good	0.047 \| good
2025-11-17T08:00:00.000Z	33 \| good	5.624 \| good	14.044 \| good	28.195 \| good	0.382 \| good	7.418 \| good	0.065 \| good
2025-11-17T09:00:00.000Z	27 \| good	5.464 \| good	12.659 \| good	29.277 \| good	0.465 \| good	10.703 \| good	0.039 \| good
2025-11-17T10:00:00.000Z	33 \| good	5.582 \| good	12.585 \| good	27.148 \| good	0.461 \| good	14.806 \| good	0.042 \| good
2025-11-17T11:00:00.000Z	27 \| good	5.451 \| good	14.516 \| good	28.66 \| good	0.627 \| good	15.542 \| good	0.05 \| good
2025-11-17T12:00:00.000Z	27 \| good	5.354 \| good	14.627 \| good	26.422 \| good	0.607 \| good	12.713 \| good	0.05 \| good
2025-11-17T13:00:00.000Z	33 \| good	5.566 \| good	15.94 \| good	26.376 \| good	0.448 \| good	11.376 \| good	0.042 \| good
2025-11-17T14:00:00.000Z	33 \| good	5.597 \| good	15.375 \| good	25.19 \| good	0.383 \| good	10.105 \| good	0.04 \| good
2025-11-17T15:00:00.000Z	33 \| good	5.537 \| good	15.213 \| good	25.535 \| good	0.405 \| good	10.287 \| good	0.048 \| good
2025-11-17T15:00:00.000Z	33 \| good	5.693 \| good	13.157 \| good	28.739 \| good	0.407 \| good	8.582 \| good	0.049 \| good
2025-11-17T16:00:00.000Z	26 \| good	4.156 \| good	9.872 \| good	28.07 \| good	0.313 \| good	4.721 \| good	0.139 \| good
2025-11-17T17:00:00.000Z	27 \| good	4.928 \| good	11.191 \| good	23.948 \| good	0.453 \| good	6.265 \| good	0.148 \| good
2025-11-17T18:00:00.000Z	33 \| good	6.207 \| good	11.825 \| good	22.465 \| good	0.515 \| good	7.714 \| good	0.158 \| good
2025-11-17T19:00:00.000Z	38 \| good	7.422 \| good	12.7 \| good	21.73 \| good	0.62 \| good	8.784 \| good	0.162 \| good
2025-11-17T20:00:00.000Z	38 \| good	7.486 \| good	12.467 \| good	22.077 \| good	0.566 \| good	8.502 \| good	0.159 \| good
2025-11-17T21:00:00.000Z	44 \| good	7.722 \| good	11.147 \| good	23.597 \| good	0.588 \| good	7.596 \| good	0.157 \| good
2025-11-17T22:00:00.000Z	44 \| good	7.523 \| good	10.963 \| good	25.023 \| good	0.563 \| good	7.178 \| good	0.152 \| good
2025-11-17T23:00:00.000Z	38 \| good	7.292 \| good	10.528 \| good	25.773 \| good	0.531 \| good	6.408 \| good	0.156 \| good
2025-11-18T00:00:00.000Z	38 \| good	6.797 \| good	9.86 \| good	26.398 \| good	0.462 \| good	5.811 \| good	0.151 \| good
2025-11-18T01:00:00.000Z	33 \| good	6.057 \| good	10.021 \| good	26.71 \| good	0.369 \| good	4.918 \| good	0.144 \| good
2025-11-18T02:00:00.000Z	27 \| good	5.452 \| good	9.932 \| good	27.074 \| good	0.382 \| good	3.877 \| good	0.144 \| good
2025-11-18T03:00:00.000Z	27 \| good	5.096 \| good	9.106 \| good	26.636 \| good	0.386 \| good	3.243 \| good	0.139 \| good
2025-11-18T04:00:00.000Z	27 \| good	5.223 \| good	9.55 \| good	26.645 \| good	0.38 \| good	3.908 \| good	0.138 \| good
2025-11-18T05:00:00.000Z	25 \| good	4.371 \| good	8.692 \| good	26.682 \| good	0.367 \| good	3.313 \| good	0.136 \| good
2025-11-18T06:00:00.000Z	25 \| good	4.397 \| good	8.913 \| good	26.888 \| good	0.405 \| good	4.123 \| good	0.133 \| good
2025-11-18T07:00:00.000Z	27 \| good	5.201 \| good	8.914 \| good	27.854 \| good	0.457 \| good	5.755 \| good	0.134 \| good
2025-11-18T08:00:00.000Z	33 \| good	5.602 \| good	10.164 \| good	21.88 \| good	0.442 \| good	9.436 \| good	0.143 \| good
2025-11-18T09:00:00.000Z	27 \| good	5.362 \| good	8.806 \| good	23.111 \| good	0.519 \| good	10.349 \| good	0.144 \| good
2025-11-18T10:00:00.000Z	33 \| good	5.578 \| good	7.411 \| good	24.214 \| good	0.387 \| good	10.65 \| good	0.139 \| good
2025-11-18T11:00:00.000Z	24 \| good	3.292 \| good	4.495 \| good	26.382 \| good	0.275 \| good	8.875 \| good	0.134 \| good
2025-11-18T12:00:00.000Z	27 \| good	2.926 \| good	3.894 \| good	29.24 \| good	0.257 \| good	7.214 \| good	0.132 \| good
2025-11-18T13:00:00.000Z	28 \| good	2.766 \| good	3.652 \| good	29.885 \| good	0.232 \| good	6.113 \| good	0.126 \| good
2025-11-18T14:00:00.000Z	31 \| good	2.758 \| good	3.711 \| good	33.458 \| good	0.201 \| good	5.05 \| good	0.12 \| good
2025-11-18T15:00:00.000Z	31 \| good	2.658 \| good	3.993 \| good	33.124 \| good	0.195 \| good	3.784 \| good	0.12 \| good
2025-11-18T16:00:00.000Z	31 \| good	2.683 \| good	4.452 \| good	33.249 \| good	0.185 \| good	3.798 \| good	0.119 \| good
2025-11-18T17:00:00.000Z	30 \| good	3.467 \| good	4.98 \| good	31.701 \| good	0.171 \| good	4.581 \| good	0.122 \| good
2025-11-18T18:00:00.000Z	28 \| good	3.984 \| good	5.217 \| good	29.706 \| good	0.201 \| good	5.813 \| good	0.125 \| good
2025-11-18T19:00:00.000Z	27 \| good	4.319 \| good	5.197 \| good	28.645 \| good	0.234 \| good	6.436 \| good	0.129 \| good
2025-11-18T20:00:00.000Z	28 \| good	2.394 \| good	3.466 \| good	30.223 \| good	0.213 \| good	4.579 \| good	0.121 \| good
2025-11-18T21:00:00.000Z	25 \| good	1.997 \| good	2.681 \| good	27.47 \| good	0.171 \| good	3.633 \| good	0.124 \| good
2025-11-18T22:00:00.000Z	28 \| good	2.141 \| good	2.892 \| good	29.785 \| good	0.126 \| good	2.65 \| good	0.124 \| good
2025-11-18T23:00:00.000Z	30 \| good	1.57 \| good	2.316 \| good	31.744 \| good	0.089 \| good	1.645 \| good	0.124 \| good
2025-11-19T00:00:00.000Z	31 \| good	1.721 \| good	3.032 \| good	34.372 \| good	0.083 \| good	0.965 \| good	0.121 \| good
2025-11-19T01:00:00.000Z	34 \| good	1.829 \| good	3.384 \| good	37.405 \| good	0.067 \| good	0.631 \| good	0.12 \| good
2025-11-19T02:00:00.000Z	35 \| good	1.838 \| good	5.093 \| good	38.014 \| good	0.067 \| good	0.465 \| good	0.119 \| good
2025-11-19T03:00:00.000Z	36 \| good	2.294 \| good	6.121 \| good	38.837 \| good	0.086 \| good	0.467 \| good	0.12 \| good
2025-11-19T04:00:00.000Z	36 \| good	2.204 \| good	6.806 \| good	38.593 \| good	0.062 \| good	0.44 \| good	0.119 \| good
2025-11-19T05:00:00.000Z	35 \| good	2.125 \| good	4.817 \| good	37.924 \| good	0.071 \| good	0.522 \| good	0.121 \| good
2025-11-19T06:00:00.000Z	34 \| good	1.637 \| good	3.719 \| good	37.111 \| good	0.103 \| good	0.692 \| good	0.122 \| good
2025-11-19T07:00:00.000Z	33 \| good	1.427 \| good	3.199 \| good	35.724 \| good	0.162 \| good	1.258 \| good	0.124 \| good
2025-11-19T08:00:00.000Z	32 \| good	1.655 \| good	3.406 \| good	34.547 \| good	0.199 \| good	2.189 \| good	0.126 \| good
2025-11-19T09:00:00.000Z	32 \| good	1.842 \| good	4.95 \| good	34.839 \| good	0.203 \| good	1.924 \| good	0.125 \| good
2025-11-19T10:00:00.000Z	33 \| good	1.916 \| good	4.639 \| good	35.638 \| good	0.172 \| good	1.404 \| good	0.124 \| good
2025-11-19T11:00:00.000Z	34 \| good	1.854 \| good	4.412 \| good	36.764 \| good	0.146 \| good	1.232 \| good	0.125 \| good
2025-11-19T12:00:00.000Z	34 \| good	1.872 \| good	4.404 \| good	36.926 \| good	0.15 \| good	1.087 \| good	0.124 \| good
2025-11-19T13:00:00.000Z	33 \| good	2.01 \| good	4.733 \| good	35.999 \| good	0.153 \| good	1.278 \| good	0.124 \| good
2025-11-19T14:00:00.000Z	33 \| good	2.224 \| good	5.204 \| good	35.673 \| good	0.164 \| good	1.546 \| good	0.126 \| good
2025-11-19T15:00:00.000Z	33 \| good	2.262 \| good	5.444 \| good	35.537 \| good	0.171 \| good	1.865 \| good	0.126 \| good

Guiseley

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Guiseley, West Yorkshire air quality map: Track AQI near you

0.04ppm

How accurate is West Yorkshire, UK air quality data?

Air quality data and pollutant measurements for West Yorkshire, 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 Guiseley, West Yorkshire updated?

The air quality for Guiseley, West Yorkshire is updated every hour.

When was the worst air quality at Guiseley, West Yorkshire in the last 24 hrs?

The worst air quality in Guiseley, West Yorkshire in the last 24 hours was observed at 02:00:00 on 2025-11-17.

When was the best air quality at Guiseley, West Yorkshire in the last 24 hrs?

In the last 24 hrs, the best air quality in Guiseley, West Yorkshire was observed at 12:00:00 on 2025-11-17.

What is the current air quality in Guiseley, West Yorkshire?

The current air quality in Guiseley, West Yorkshire is 33, categorized as Good based on real-time data.

What pollutant is the most common in Guiseley, West Yorkshire?

The most common pollutant in Guiseley, West Yorkshire is PM2.5.

What should I do if the air quality in Guiseley, West Yorkshire is poor?

If the air quality in Guiseley, West Yorkshire is poor, consider staying indoors and wearing a mask to protect yourself.

What is the current concentration of PM_2.5 in Guiseley, West Yorkshire?

The current PM_2.5 concentration at Guiseley, West Yorkshire is 5.693 μg/m³.

What is the current concentration of PM₁₀ in Guiseley, West Yorkshire?

The current PM₁₀ concentration at Guiseley, West Yorkshire is 13.157 μg/m³.

What is the current concentration of carbon monoxide (CO) in Guiseley, West Yorkshire?

The current carbon monoxide (CO) concentration at Guiseley, West Yorkshire is 0.049 ppm.

What is the current concentration of sulfur dioxide (SO₂) in Guiseley, West Yorkshire?

The current sulfur dioxide (SO₂) concentration at Guiseley, West Yorkshire is 0.407 ppb.

What is the current concentration of ozone (O₃) in Guiseley, West Yorkshire?

The current ozone (O₃) concentration at Guiseley, West Yorkshire is 28.739 ppm.

What is the current concentration of nitrogen dioxide (NO₂) in Guiseley, West Yorkshire?

The current nitrogen dioxide (NO₂) concentration at Guiseley, West Yorkshire is 8.582 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-11-15T16:00:00.000Z	27 \| good	4.265 \| good	7.188 \| good	29.282 \| good	0.501 \| good	24.051 \| good	0.112 \| good
2025-11-15T17:00:00.000Z	25 \| good	4.306 \| good	9.773 \| good	26.669 \| good	0.448 \| good	21.612 \| good	0.178 \| good
2025-11-15T18:00:00.000Z	23 \| good	3.431 \| good	6.418 \| good	24.451 \| good	0.664 \| good	24.197 \| good	0.247 \| good
2025-11-15T19:00:00.000Z	25 \| good	3.423 \| good	10.733 \| good	25.243 \| good	0.478 \| good	26.525 \| good	0.218 \| good
2025-11-15T20:00:00.000Z	26 \| good	2.816 \| good	7.928 \| good	27.694 \| good	0.466 \| good	18.64 \| good	0.304 \| good
2025-11-15T21:00:00.000Z	25 \| good	3.495 \| good	11.441 \| good	27.191 \| good	0.444 \| good	23.074 \| good	0.262 \| good
2025-11-15T22:00:00.000Z	26 \| good	3.464 \| good	9.243 \| good	27.779 \| good	0.445 \| good	17.702 \| good	0.332 \| good
2025-11-15T23:00:00.000Z	26 \| good	3.535 \| good	8.54 \| good	28.092 \| good	0.445 \| good	20.442 \| good	0.173 \| good
2025-11-16T00:00:00.000Z	25 \| good	3.874 \| good	8.618 \| good	26.775 \| good	0.452 \| good	19.77 \| good	0.989 \| good
2025-11-16T01:00:00.000Z	24 \| good	3.894 \| good	6.797 \| good	26.403 \| good	0.454 \| good	14.802 \| good	1.449 \| good
2025-11-16T02:00:00.000Z	26 \| good	4.057 \| good	7.252 \| good	28.428 \| good	0.452 \| good	12.131 \| good	1.34 \| good
2025-11-16T03:00:00.000Z	26 \| good	4.302 \| good	7.109 \| good	28.431 \| good	0.497 \| good	9.664 \| good	0.879 \| good
2025-11-16T04:00:00.000Z	27 \| good	4.749 \| good	9.604 \| good	28.748 \| good	0.452 \| good	9.321 \| good	0.744 \| good
2025-11-16T05:00:00.000Z	28 \| good	4.434 \| good	7.547 \| good	29.836 \| good	0.452 \| good	7.371 \| good	0.736 \| good
2025-11-16T06:00:00.000Z	28 \| good	4.29 \| good	8.728 \| good	30.235 \| good	0.454 \| good	4.218 \| good	0.093 \| good
2025-11-16T07:00:00.000Z	27 \| good	4.428 \| good	10.387 \| good	29.236 \| good	0.633 \| good	3.878 \| good	0.105 \| good
2025-11-16T08:00:00.000Z	27 \| good	5.4 \| good	8.482 \| good	28.727 \| good	0.445 \| good	7.098 \| good	0.118 \| good
2025-11-16T09:00:00.000Z	33 \| good	5.607 \| good	9.811 \| good	29.298 \| good	0.439 \| good	8.445 \| good	0.107 \| good
2025-11-16T10:00:00.000Z	33 \| good	5.661 \| good	11.887 \| good	29.595 \| good	0.465 \| good	8.879 \| good	0.109 \| good
2025-11-16T11:00:00.000Z	33 \| good	5.659 \| good	11.134 \| good	29.137 \| good	0.492 \| good	13.85 \| good	0.092 \| good
2025-11-16T12:00:00.000Z	28 \| good	5.007 \| good	11.691 \| good	30.205 \| good	0.45 \| good	15.886 \| good	0.067 \| good
2025-11-16T13:00:00.000Z	33 \| good	5.506 \| good	11.611 \| good	31.83 \| good	0.702 \| good	18.214 \| good	0.06 \| good
2025-11-16T14:00:00.000Z	33 \| good	5.569 \| good	10.994 \| good	31.423 \| good	0.513 \| good	17.566 \| good	0.062 \| good
2025-11-16T15:00:00.000Z	33 \| good	5.509 \| good	11.984 \| good	32.974 \| good	0.511 \| good	20.264 \| good	0.078 \| good
2025-11-16T16:00:00.000Z	31 \| good	5.428 \| good	12.141 \| good	32.567 \| good	0.563 \| good	22.918 \| good	0.173 \| good
2025-11-16T17:00:00.000Z	29 \| good	5.132 \| good	10.769 \| good	30.531 \| good	0.383 \| good	18.904 \| good	0.181 \| good
2025-11-16T18:00:00.000Z	28 \| good	5.3 \| good	13.69 \| good	29.874 \| good	0.383 \| good	20.487 \| good	0.199 \| good
2025-11-16T19:00:00.000Z	33 \| good	5.793 \| good	15.403 \| good	28.914 \| good	0.541 \| good	25.674 \| good	0.177 \| good
2025-11-16T20:00:00.000Z	33 \| good	5.982 \| good	14.155 \| good	26.782 \| good	0.466 \| good	25.078 \| good	0.185 \| good
2025-11-16T21:00:00.000Z	27 \| good	5.381 \| good	12.792 \| good	25.621 \| good	0.645 \| good	13.703 \| good	0.166 \| good
2025-11-16T22:00:00.000Z	27 \| good	5.321 \| good	13.941 \| good	23.908 \| good	0.467 \| good	14.339 \| good	0.224 \| good
2025-11-16T23:00:00.000Z	27 \| good	5.319 \| good	12.639 \| good	23.415 \| good	0.45 \| good	11.648 \| good	0.215 \| good
2025-11-17T00:00:00.000Z	22 \| good	4.483 \| good	13.739 \| good	23.775 \| good	0.473 \| good	9.156 \| good	1.205 \| good
2025-11-17T01:00:00.000Z	27 \| good	5.198 \| good	14.64 \| good	22.824 \| good	0.454 \| good	8.645 \| good	0.918 \| good
2025-11-17T02:00:00.000Z	27 \| good	5.469 \| good	14.779 \| good	24.629 \| good	0.453 \| good	4.333 \| good	0.701 \| good
2025-11-17T03:00:00.000Z	27 \| good	5.368 \| good	14.499 \| good	26.012 \| good	0.635 \| good	2.3 \| good	0.451 \| good
2025-11-17T04:00:00.000Z	27 \| good	5.292 \| good	14.607 \| good	27.769 \| good	0.452 \| good	2.196 \| good	0.389 \| good
2025-11-17T05:00:00.000Z	27 \| good	5.271 \| good	12.137 \| good	28.594 \| good	0.506 \| good	1.349 \| good	0.294 \| good
2025-11-17T06:00:00.000Z	27 \| good	5.256 \| good	12.365 \| good	28.643 \| good	0.382 \| good	1.566 \| good	0.042 \| good
2025-11-17T07:00:00.000Z	33 \| good	5.506 \| good	11.935 \| good	28.436 \| good	0.382 \| good	2.835 \| good	0.047 \| good
2025-11-17T08:00:00.000Z	33 \| good	5.624 \| good	14.044 \| good	28.195 \| good	0.382 \| good	7.418 \| good	0.065 \| good
2025-11-17T09:00:00.000Z	27 \| good	5.464 \| good	12.659 \| good	29.277 \| good	0.465 \| good	10.703 \| good	0.039 \| good
2025-11-17T10:00:00.000Z	33 \| good	5.582 \| good	12.585 \| good	27.148 \| good	0.461 \| good	14.806 \| good	0.042 \| good
2025-11-17T11:00:00.000Z	27 \| good	5.451 \| good	14.516 \| good	28.66 \| good	0.627 \| good	15.542 \| good	0.05 \| good
2025-11-17T12:00:00.000Z	27 \| good	5.354 \| good	14.627 \| good	26.422 \| good	0.607 \| good	12.713 \| good	0.05 \| good
2025-11-17T13:00:00.000Z	33 \| good	5.566 \| good	15.94 \| good	26.376 \| good	0.448 \| good	11.376 \| good	0.042 \| good
2025-11-17T14:00:00.000Z	33 \| good	5.597 \| good	15.375 \| good	25.19 \| good	0.383 \| good	10.105 \| good	0.04 \| good
2025-11-17T15:00:00.000Z	33 \| good	5.537 \| good	15.213 \| good	25.535 \| good	0.405 \| good	10.287 \| good	0.048 \| good
2025-11-17T15:00:00.000Z	33 \| good	5.693 \| good	13.157 \| good	28.739 \| good	0.407 \| good	8.582 \| good	0.049 \| good
2025-11-17T16:00:00.000Z	26 \| good	4.156 \| good	9.872 \| good	28.07 \| good	0.313 \| good	4.721 \| good	0.139 \| good
2025-11-17T17:00:00.000Z	27 \| good	4.928 \| good	11.191 \| good	23.948 \| good	0.453 \| good	6.265 \| good	0.148 \| good
2025-11-17T18:00:00.000Z	33 \| good	6.207 \| good	11.825 \| good	22.465 \| good	0.515 \| good	7.714 \| good	0.158 \| good
2025-11-17T19:00:00.000Z	38 \| good	7.422 \| good	12.7 \| good	21.73 \| good	0.62 \| good	8.784 \| good	0.162 \| good
2025-11-17T20:00:00.000Z	38 \| good	7.486 \| good	12.467 \| good	22.077 \| good	0.566 \| good	8.502 \| good	0.159 \| good
2025-11-17T21:00:00.000Z	44 \| good	7.722 \| good	11.147 \| good	23.597 \| good	0.588 \| good	7.596 \| good	0.157 \| good
2025-11-17T22:00:00.000Z	44 \| good	7.523 \| good	10.963 \| good	25.023 \| good	0.563 \| good	7.178 \| good	0.152 \| good
2025-11-17T23:00:00.000Z	38 \| good	7.292 \| good	10.528 \| good	25.773 \| good	0.531 \| good	6.408 \| good	0.156 \| good
2025-11-18T00:00:00.000Z	38 \| good	6.797 \| good	9.86 \| good	26.398 \| good	0.462 \| good	5.811 \| good	0.151 \| good
2025-11-18T01:00:00.000Z	33 \| good	6.057 \| good	10.021 \| good	26.71 \| good	0.369 \| good	4.918 \| good	0.144 \| good
2025-11-18T02:00:00.000Z	27 \| good	5.452 \| good	9.932 \| good	27.074 \| good	0.382 \| good	3.877 \| good	0.144 \| good
2025-11-18T03:00:00.000Z	27 \| good	5.096 \| good	9.106 \| good	26.636 \| good	0.386 \| good	3.243 \| good	0.139 \| good
2025-11-18T04:00:00.000Z	27 \| good	5.223 \| good	9.55 \| good	26.645 \| good	0.38 \| good	3.908 \| good	0.138 \| good
2025-11-18T05:00:00.000Z	25 \| good	4.371 \| good	8.692 \| good	26.682 \| good	0.367 \| good	3.313 \| good	0.136 \| good
2025-11-18T06:00:00.000Z	25 \| good	4.397 \| good	8.913 \| good	26.888 \| good	0.405 \| good	4.123 \| good	0.133 \| good
2025-11-18T07:00:00.000Z	27 \| good	5.201 \| good	8.914 \| good	27.854 \| good	0.457 \| good	5.755 \| good	0.134 \| good
2025-11-18T08:00:00.000Z	33 \| good	5.602 \| good	10.164 \| good	21.88 \| good	0.442 \| good	9.436 \| good	0.143 \| good
2025-11-18T09:00:00.000Z	27 \| good	5.362 \| good	8.806 \| good	23.111 \| good	0.519 \| good	10.349 \| good	0.144 \| good
2025-11-18T10:00:00.000Z	33 \| good	5.578 \| good	7.411 \| good	24.214 \| good	0.387 \| good	10.65 \| good	0.139 \| good
2025-11-18T11:00:00.000Z	24 \| good	3.292 \| good	4.495 \| good	26.382 \| good	0.275 \| good	8.875 \| good	0.134 \| good
2025-11-18T12:00:00.000Z	27 \| good	2.926 \| good	3.894 \| good	29.24 \| good	0.257 \| good	7.214 \| good	0.132 \| good
2025-11-18T13:00:00.000Z	28 \| good	2.766 \| good	3.652 \| good	29.885 \| good	0.232 \| good	6.113 \| good	0.126 \| good
2025-11-18T14:00:00.000Z	31 \| good	2.758 \| good	3.711 \| good	33.458 \| good	0.201 \| good	5.05 \| good	0.12 \| good
2025-11-18T15:00:00.000Z	31 \| good	2.658 \| good	3.993 \| good	33.124 \| good	0.195 \| good	3.784 \| good	0.12 \| good
2025-11-18T16:00:00.000Z	31 \| good	2.683 \| good	4.452 \| good	33.249 \| good	0.185 \| good	3.798 \| good	0.119 \| good
2025-11-18T17:00:00.000Z	30 \| good	3.467 \| good	4.98 \| good	31.701 \| good	0.171 \| good	4.581 \| good	0.122 \| good
2025-11-18T18:00:00.000Z	28 \| good	3.984 \| good	5.217 \| good	29.706 \| good	0.201 \| good	5.813 \| good	0.125 \| good
2025-11-18T19:00:00.000Z	27 \| good	4.319 \| good	5.197 \| good	28.645 \| good	0.234 \| good	6.436 \| good	0.129 \| good
2025-11-18T20:00:00.000Z	28 \| good	2.394 \| good	3.466 \| good	30.223 \| good	0.213 \| good	4.579 \| good	0.121 \| good
2025-11-18T21:00:00.000Z	25 \| good	1.997 \| good	2.681 \| good	27.47 \| good	0.171 \| good	3.633 \| good	0.124 \| good
2025-11-18T22:00:00.000Z	28 \| good	2.141 \| good	2.892 \| good	29.785 \| good	0.126 \| good	2.65 \| good	0.124 \| good
2025-11-18T23:00:00.000Z	30 \| good	1.57 \| good	2.316 \| good	31.744 \| good	0.089 \| good	1.645 \| good	0.124 \| good
2025-11-19T00:00:00.000Z	31 \| good	1.721 \| good	3.032 \| good	34.372 \| good	0.083 \| good	0.965 \| good	0.121 \| good
2025-11-19T01:00:00.000Z	34 \| good	1.829 \| good	3.384 \| good	37.405 \| good	0.067 \| good	0.631 \| good	0.12 \| good
2025-11-19T02:00:00.000Z	35 \| good	1.838 \| good	5.093 \| good	38.014 \| good	0.067 \| good	0.465 \| good	0.119 \| good
2025-11-19T03:00:00.000Z	36 \| good	2.294 \| good	6.121 \| good	38.837 \| good	0.086 \| good	0.467 \| good	0.12 \| good
2025-11-19T04:00:00.000Z	36 \| good	2.204 \| good	6.806 \| good	38.593 \| good	0.062 \| good	0.44 \| good	0.119 \| good
2025-11-19T05:00:00.000Z	35 \| good	2.125 \| good	4.817 \| good	37.924 \| good	0.071 \| good	0.522 \| good	0.121 \| good
2025-11-19T06:00:00.000Z	34 \| good	1.637 \| good	3.719 \| good	37.111 \| good	0.103 \| good	0.692 \| good	0.122 \| good
2025-11-19T07:00:00.000Z	33 \| good	1.427 \| good	3.199 \| good	35.724 \| good	0.162 \| good	1.258 \| good	0.124 \| good
2025-11-19T08:00:00.000Z	32 \| good	1.655 \| good	3.406 \| good	34.547 \| good	0.199 \| good	2.189 \| good	0.126 \| good
2025-11-19T09:00:00.000Z	32 \| good	1.842 \| good	4.95 \| good	34.839 \| good	0.203 \| good	1.924 \| good	0.125 \| good
2025-11-19T10:00:00.000Z	33 \| good	1.916 \| good	4.639 \| good	35.638 \| good	0.172 \| good	1.404 \| good	0.124 \| good
2025-11-19T11:00:00.000Z	34 \| good	1.854 \| good	4.412 \| good	36.764 \| good	0.146 \| good	1.232 \| good	0.125 \| good
2025-11-19T12:00:00.000Z	34 \| good	1.872 \| good	4.404 \| good	36.926 \| good	0.15 \| good	1.087 \| good	0.124 \| good
2025-11-19T13:00:00.000Z	33 \| good	2.01 \| good	4.733 \| good	35.999 \| good	0.153 \| good	1.278 \| good	0.124 \| good
2025-11-19T14:00:00.000Z	33 \| good	2.224 \| good	5.204 \| good	35.673 \| good	0.164 \| good	1.546 \| good	0.126 \| good
2025-11-19T15:00:00.000Z	33 \| good	2.262 \| good	5.444 \| good	35.537 \| good	0.171 \| good	1.865 \| good	0.126 \| good

Guiseley, West Yorkshire live air quality index now

Major air pollutants in Guiseley, West Yorkshire

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

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Guiseley, West Yorkshire air quality map: Track AQI near you

Air quality in nearby cities

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How accurate is West Yorkshire, UK air quality data?

Air quality levels in UK

Frequently asked questions

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When was the worst air quality at Guiseley, West Yorkshire in the last 24 hrs?

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What is the current air quality in Guiseley, West Yorkshire?

What pollutant is the most common in Guiseley, West Yorkshire?

What should I do if the air quality in Guiseley, West Yorkshire is poor?

What is the current concentration of PM2.5 in Guiseley, West Yorkshire?

What is the current concentration of PM10 in Guiseley, West Yorkshire?

What is the current concentration of carbon monoxide (CO) in Guiseley, West Yorkshire?

What is the current concentration of sulfur dioxide (SO2) in Guiseley, West Yorkshire?

What is the current concentration of ozone (O3) in Guiseley, West Yorkshire?

What is the current concentration of nitrogen dioxide (NO2) in Guiseley, West Yorkshire?

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 Guiseley, West Yorkshire?

What is the current concentration of PM₁₀ in Guiseley, West Yorkshire?

What is the current concentration of sulfur dioxide (SO₂) in Guiseley, West Yorkshire?

What is the current concentration of ozone (O₃) in Guiseley, West Yorkshire?

What is the current concentration of nitrogen dioxide (NO₂) in Guiseley, West Yorkshire?