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

The current PM10 concentration at Guiseley, West Yorkshire is 13.971 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 0.506 ppb.

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

The current ozone (O3) concentration at Guiseley, West Yorkshire is 40.452 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 3.321 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 5.361 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)

5.36 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

13.97 μg/m³

155

255

425

605+

Ozone (O₃)

40.45 ppb

201

201+

Sulfur Dioxide (SO₂)

0.51 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

3.32 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.08 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
2026-03-27T23:00:00.000Z	36 \| good	5.974 \| good	12.473 \| good	38.677 \| good	0.766 \| good	10.48 \| good	0.09 \| good
2026-03-28T00:00:00.000Z	35 \| good	6.485 \| good	12.758 \| good	37.786 \| good	0.447 \| good	8.525 \| good	0.273 \| good
2026-03-28T01:00:00.000Z	34 \| good	6.266 \| good	11.748 \| good	37.308 \| good	0.445 \| good	5.19 \| good	0.23 \| good
2026-03-28T02:00:00.000Z	33 \| good	6.144 \| good	12.598 \| good	36.454 \| good	0.7 \| good	5.932 \| good	0.217 \| good
2026-03-28T03:00:00.000Z	38 \| good	6.541 \| good	12.886 \| good	35.804 \| good	0.382 \| good	4.165 \| good	0.209 \| good
2026-03-28T04:00:00.000Z	38 \| good	7.138 \| good	14.09 \| good	34.985 \| good	0.393 \| good	3.574 \| good	0.204 \| good
2026-03-28T05:00:00.000Z	38 \| good	7.097 \| good	15.701 \| good	36.158 \| good	0.659 \| good	3.283 \| good	0.2 \| good
2026-03-28T06:00:00.000Z	38 \| good	7.21 \| good	15.331 \| good	37.474 \| good	0.393 \| good	2.52 \| good	0.198 \| good
2026-03-28T07:00:00.000Z	38 \| good	7.118 \| good	15.108 \| good	37.529 \| good	0.382 \| good	2.735 \| good	0.065 \| good
2026-03-28T08:00:00.000Z	38 \| good	7.033 \| good	17.506 \| good	37.941 \| good	0.656 \| good	3.922 \| good	0.074 \| good
2026-03-28T09:00:00.000Z	44 \| good	7.845 \| good	16.442 \| good	38.004 \| good	0.711 \| good	4.301 \| good	0.08 \| good
2026-03-28T10:00:00.000Z	44 \| good	8.195 \| good	16.855 \| good	37.739 \| good	0.393 \| good	4.458 \| good	0.087 \| good
2026-03-28T11:00:00.000Z	44 \| good	8.138 \| good	18.03 \| good	38.83 \| good	0.659 \| good	3.637 \| good	0.09 \| good
2026-03-28T12:00:00.000Z	44 \| good	8.296 \| good	19.749 \| good	38.911 \| good	0.434 \| good	3.546 \| good	0.086 \| good
2026-03-28T13:00:00.000Z	44 \| good	8.375 \| good	18.875 \| good	39.554 \| good	0.434 \| good	4.227 \| good	0.085 \| good
2026-03-28T14:00:00.000Z	44 \| good	8.443 \| good	19.212 \| good	40.274 \| good	0.434 \| good	4.318 \| good	0.082 \| good
2026-03-28T15:00:00.000Z	44 \| good	8.167 \| good	19.437 \| good	40.263 \| good	0.434 \| good	5.008 \| good	0.098 \| good
2026-03-28T16:00:00.000Z	44 \| good	7.77 \| good	16.476 \| good	41.088 \| good	0.434 \| good	5.085 \| good	0.086 \| good
2026-03-28T17:00:00.000Z	38 \| good	7.472 \| good	16.12 \| good	40.69 \| good	0.434 \| good	5.586 \| good	0.087 \| good
2026-03-28T18:00:00.000Z	38 \| good	7.348 \| good	16.069 \| good	40.527 \| good	0.446 \| good	5.736 \| good	0.085 \| good
2026-03-28T19:00:00.000Z	38 \| good	7.242 \| good	16.214 \| good	39.96 \| good	0.435 \| good	6.449 \| good	0.099 \| good
2026-03-28T20:00:00.000Z	38 \| good	7.281 \| good	15.933 \| good	38.573 \| good	0.499 \| good	6.61 \| good	0.101 \| good
2026-03-28T21:00:00.000Z	38 \| good	7.213 \| good	16.31 \| good	38.779 \| good	0.435 \| good	7.38 \| good	0.091 \| good
2026-03-28T22:00:00.000Z	38 \| good	7.182 \| good	16.586 \| good	37.209 \| good	0.434 \| good	9.642 \| good	0.095 \| good
2026-03-28T23:00:00.000Z	38 \| good	6.763 \| good	17.233 \| good	36.705 \| good	0.7 \| good	7.307 \| good	0.09 \| good
2026-03-29T00:00:00.000Z	38 \| good	6.817 \| good	17.767 \| good	36.083 \| good	0.7 \| good	7.919 \| good	0.266 \| good
2026-03-29T01:00:00.000Z	38 \| good	6.895 \| good	17.19 \| good	34.874 \| good	0.7 \| good	9.794 \| good	0.264 \| good
2026-03-29T02:00:00.000Z	38 \| good	6.668 \| good	17.214 \| good	34.109 \| good	0.434 \| good	10.202 \| good	0.247 \| good
2026-03-29T03:00:00.000Z	38 \| good	6.54 \| good	16.015 \| good	33.86 \| good	0.434 \| good	5.15 \| good	0.299 \| good
2026-03-29T04:00:00.000Z	38 \| good	6.78 \| good	16.934 \| good	33.089 \| good	0.658 \| good	5.006 \| good	0.285 \| good
2026-03-29T05:00:00.000Z	38 \| good	6.8 \| good	16.519 \| good	32.283 \| good	0.382 \| good	6.276 \| good	0.089 \| good
2026-03-29T06:00:00.000Z	33 \| good	6.238 \| good	15.626 \| good	31.445 \| good	0.425 \| good	5.771 \| good	0.085 \| good
2026-03-29T07:00:00.000Z	38 \| good	6.93 \| good	15.671 \| good	31.226 \| good	0.424 \| good	5.004 \| good	0.085 \| good
2026-03-29T08:00:00.000Z	38 \| good	7.144 \| good	16.212 \| good	30.338 \| good	0.704 \| good	4.987 \| good	0.092 \| good
2026-03-29T09:00:00.000Z	38 \| good	7.266 \| good	16.11 \| good	29.199 \| good	0.703 \| good	6.31 \| good	0.105 \| good
2026-03-29T10:00:00.000Z	38 \| good	7.046 \| good	16.475 \| good	28.699 \| good	0.382 \| good	6.2 \| good	0.101 \| good
2026-03-29T11:00:00.000Z	38 \| good	6.66 \| good	15.719 \| good	30.059 \| good	0.393 \| good	4.929 \| good	0.08 \| good
2026-03-29T12:00:00.000Z	38 \| good	6.653 \| good	14.203 \| good	30.004 \| good	0.445 \| good	4.338 \| good	0.078 \| good
2026-03-29T13:00:00.000Z	33 \| good	6.316 \| good	14.673 \| good	31.192 \| good	0.706 \| good	4.987 \| good	0.089 \| good
2026-03-29T14:00:00.000Z	33 \| good	6.279 \| good	13.985 \| good	32.318 \| good	0.433 \| good	4.511 \| good	0.083 \| good
2026-03-29T15:00:00.000Z	33 \| good	6.153 \| good	13.109 \| good	33.442 \| good	0.443 \| good	4.625 \| good	0.087 \| good
2026-03-29T16:00:00.000Z	33 \| good	6.189 \| good	13.554 \| good	36.361 \| good	0.445 \| good	5.358 \| good	0.087 \| good
2026-03-29T17:00:00.000Z	35 \| good	5.698 \| good	13.278 \| good	37.976 \| good	0.442 \| good	5.36 \| good	0.085 \| good
2026-03-29T18:00:00.000Z	35 \| good	5.419 \| good	11.892 \| good	38.245 \| good	0.445 \| good	5.346 \| good	0.083 \| good
2026-03-29T19:00:00.000Z	37 \| good	5.684 \| good	12.154 \| good	39.616 \| good	0.393 \| good	4.442 \| good	0.094 \| good
2026-03-29T20:00:00.000Z	38 \| good	5.781 \| good	13.222 \| good	41.008 \| good	0.712 \| good	4.497 \| good	0.12 \| good
2026-03-29T21:00:00.000Z	38 \| good	5.774 \| good	14.13 \| good	41.449 \| good	0.445 \| good	5.359 \| good	0.082 \| good
2026-03-29T22:00:00.000Z	37 \| good	5.361 \| good	13.971 \| good	40.452 \| good	0.506 \| good	3.321 \| good	0.084 \| good
2026-03-29T23:00:00.000Z	46 \| good	4.082 \| good	11.672 \| good	49.797 \| good	0.144 \| good	1 \| good	0.117 \| good
2026-03-30T00:00:00.000Z	46 \| good	4.304 \| good	12.352 \| good	49.847 \| good	0.125 \| good	0.849 \| good	0.118 \| good
2026-03-30T01:00:00.000Z	45 \| good	4.418 \| good	11.602 \| good	49.208 \| good	0.106 \| good	0.805 \| good	0.118 \| good
2026-03-30T02:00:00.000Z	44 \| good	4.514 \| good	11.014 \| good	48.192 \| good	0.113 \| good	0.763 \| good	0.117 \| good
2026-03-30T03:00:00.000Z	44 \| good	4.582 \| good	11.275 \| good	47.348 \| good	0.099 \| good	0.747 \| good	0.118 \| good
2026-03-30T04:00:00.000Z	44 \| good	4.725 \| good	10.933 \| good	46.591 \| good	0.109 \| good	0.672 \| good	0.118 \| good
2026-03-30T05:00:00.000Z	43 \| good	4.838 \| good	11.478 \| good	46.269 \| good	0.119 \| good	0.842 \| good	0.119 \| good
2026-03-30T06:00:00.000Z	43 \| good	4.949 \| good	10.906 \| good	45.88 \| good	0.149 \| good	1.341 \| good	0.12 \| good
2026-03-30T07:00:00.000Z	43 \| good	4.94 \| good	10.281 \| good	45.869 \| good	0.171 \| good	1.708 \| good	0.124 \| good
2026-03-30T08:00:00.000Z	44 \| good	4.645 \| good	11.519 \| good	47.543 \| good	0.17 \| good	1.502 \| good	0.123 \| good
2026-03-30T09:00:00.000Z	45 \| good	4.394 \| good	12.164 \| good	48.504 \| good	0.167 \| good	1.168 \| good	0.122 \| good
2026-03-30T10:00:00.000Z	46 \| good	4.218 \| good	11.895 \| good	49.509 \| good	0.145 \| good	1.011 \| good	0.122 \| good
2026-03-30T11:00:00.000Z	46 \| good	3.98 \| good	11.696 \| good	49.906 \| good	0.127 \| good	0.862 \| good	0.121 \| good
2026-03-30T12:00:00.000Z	46 \| good	3.804 \| good	11.278 \| good	50.103 \| good	0.117 \| good	0.792 \| good	0.12 \| good
2026-03-30T13:00:00.000Z	46 \| good	3.642 \| good	11.035 \| good	50.267 \| good	0.113 \| good	0.786 \| good	0.12 \| good
2026-03-30T14:00:00.000Z	47 \| good	3.519 \| good	10.723 \| good	50.932 \| good	0.109 \| good	0.782 \| good	0.12 \| good
2026-03-30T15:00:00.000Z	47 \| good	3.578 \| good	10.485 \| good	51.267 \| good	0.111 \| good	0.883 \| good	0.12 \| good
2026-03-30T16:00:00.000Z	47 \| good	3.625 \| good	10.252 \| good	50.987 \| good	0.144 \| good	1.025 \| good	0.122 \| good
2026-03-30T17:00:00.000Z	47 \| good	3.767 \| good	9.683 \| good	50.503 \| good	0.157 \| good	1.272 \| good	0.122 \| good
2026-03-30T18:00:00.000Z	46 \| good	3.818 \| good	9.22 \| good	49.738 \| good	0.188 \| good	1.952 \| good	0.126 \| good
2026-03-30T19:00:00.000Z	45 \| good	3.887 \| good	9.125 \| good	48.593 \| good	0.215 \| good	2.001 \| good	0.125 \| good
2026-03-30T20:00:00.000Z	44 \| good	4.062 \| good	9.666 \| good	47.404 \| good	0.228 \| good	1.864 \| good	0.123 \| good
2026-03-30T21:00:00.000Z	43 \| good	4.16 \| good	10.284 \| good	46.165 \| good	0.225 \| good	1.823 \| good	0.123 \| good
2026-03-30T22:00:00.000Z	43 \| good	4.187 \| good	10.71 \| good	45.673 \| good	0.211 \| good	1.855 \| good	0.122 \| good
2026-03-30T23:00:00.000Z	42 \| good	4.098 \| good	10.633 \| good	44.956 \| good	0.2 \| good	1.752 \| good	0.123 \| good
2026-03-31T00:00:00.000Z	42 \| good	4.085 \| good	10.758 \| good	44.936 \| good	0.161 \| good	1.588 \| good	0.121 \| good
2026-03-31T01:00:00.000Z	41 \| good	4.058 \| good	11.343 \| good	44.272 \| good	0.139 \| good	1.317 \| good	0.121 \| good
2026-03-31T02:00:00.000Z	37 \| good	4.003 \| good	12.087 \| good	40.329 \| good	0.127 \| good	1.208 \| good	0.121 \| good
2026-03-31T03:00:00.000Z	38 \| good	3.928 \| good	9.649 \| good	40.858 \| good	0.117 \| good	1.198 \| good	0.121 \| good
2026-03-31T04:00:00.000Z	37 \| good	3.989 \| good	8.037 \| good	40.201 \| good	0.131 \| good	1.342 \| good	0.121 \| good
2026-03-31T05:00:00.000Z	32 \| good	4.357 \| good	8.045 \| good	35.451 \| good	0.148 \| good	1.796 \| good	0.123 \| good
2026-03-31T06:00:00.000Z	30 \| good	4.988 \| good	8.007 \| good	32.036 \| good	0.185 \| good	2.523 \| good	0.125 \| good
2026-03-31T07:00:00.000Z	28 \| good	5.137 \| good	7.322 \| good	29.851 \| good	0.255 \| good	3.633 \| good	0.127 \| good
2026-03-31T08:00:00.000Z	27 \| good	4.978 \| good	6.377 \| good	28.85 \| good	0.251 \| good	4.226 \| good	0.128 \| good
2026-03-31T09:00:00.000Z	27 \| good	3.843 \| good	6.062 \| good	28.81 \| good	0.248 \| good	2.852 \| good	0.121 \| good
2026-03-31T10:00:00.000Z	26 \| good	3.362 \| good	5.859 \| good	28.329 \| good	0.222 \| good	2.101 \| good	0.117 \| good
2026-03-31T11:00:00.000Z	28 \| good	2.929 \| good	5.261 \| good	29.701 \| good	0.157 \| good	1.578 \| good	0.113 \| good
2026-03-31T12:00:00.000Z	30 \| good	2.705 \| good	4.797 \| good	32 \| good	0.12 \| good	1.374 \| good	0.109 \| good
2026-03-31T13:00:00.000Z	31 \| good	2.825 \| good	4.754 \| good	34.159 \| good	0.113 \| good	1.159 \| good	0.108 \| good
2026-03-31T14:00:00.000Z	32 \| good	3.035 \| good	4.843 \| good	35.201 \| good	0.115 \| good	1.197 \| good	0.109 \| good
2026-03-31T15:00:00.000Z	32 \| good	2.985 \| good	5.111 \| good	35.313 \| good	0.122 \| good	1.353 \| good	0.11 \| good
2026-03-31T16:00:00.000Z	32 \| good	3.262 \| good	5.642 \| good	35.144 \| good	0.14 \| good	1.746 \| good	0.112 \| good
2026-03-31T17:00:00.000Z	32 \| good	3.675 \| good	6.53 \| good	34.947 \| good	0.146 \| good	2.471 \| good	0.115 \| good
2026-03-31T18:00:00.000Z	31 \| good	4.758 \| good	7.346 \| good	33.448 \| good	0.265 \| good	3.304 \| good	0.12 \| good
2026-03-31T19:00:00.000Z	33 \| good	5.527 \| good	8.37 \| good	31.927 \| good	0.344 \| good	4.7 \| good	0.122 \| good
2026-03-31T20:00:00.000Z	33 \| good	6.286 \| good	9.051 \| good	30.608 \| good	0.37 \| good	5.14 \| good	0.124 \| good
2026-03-31T21:00:00.000Z	38 \| good	7.041 \| good	9.812 \| good	27.884 \| good	0.351 \| good	5.626 \| good	0.125 \| good
2026-03-31T22:00:00.000Z	44 \| good	8.265 \| good	10.722 \| good	27.692 \| good	0.365 \| good	5.914 \| good	0.126 \| good

Guiseley

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

0.08ppm

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 09:00:00 on 2026-03-29.

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 04:00:00 on 2026-03-29.

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

The current air quality in Guiseley, West Yorkshire is 37, 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 O3.

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 5.361 μg/m³.

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

The current PM₁₀ concentration at Guiseley, West Yorkshire is 13.971 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 0.084 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 0.506 ppb.

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

The current ozone (O₃) concentration at Guiseley, West Yorkshire is 40.452 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 3.321 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-03-27T23:00:00.000Z	36 \| good	5.974 \| good	12.473 \| good	38.677 \| good	0.766 \| good	10.48 \| good	0.09 \| good
2026-03-28T00:00:00.000Z	35 \| good	6.485 \| good	12.758 \| good	37.786 \| good	0.447 \| good	8.525 \| good	0.273 \| good
2026-03-28T01:00:00.000Z	34 \| good	6.266 \| good	11.748 \| good	37.308 \| good	0.445 \| good	5.19 \| good	0.23 \| good
2026-03-28T02:00:00.000Z	33 \| good	6.144 \| good	12.598 \| good	36.454 \| good	0.7 \| good	5.932 \| good	0.217 \| good
2026-03-28T03:00:00.000Z	38 \| good	6.541 \| good	12.886 \| good	35.804 \| good	0.382 \| good	4.165 \| good	0.209 \| good
2026-03-28T04:00:00.000Z	38 \| good	7.138 \| good	14.09 \| good	34.985 \| good	0.393 \| good	3.574 \| good	0.204 \| good
2026-03-28T05:00:00.000Z	38 \| good	7.097 \| good	15.701 \| good	36.158 \| good	0.659 \| good	3.283 \| good	0.2 \| good
2026-03-28T06:00:00.000Z	38 \| good	7.21 \| good	15.331 \| good	37.474 \| good	0.393 \| good	2.52 \| good	0.198 \| good
2026-03-28T07:00:00.000Z	38 \| good	7.118 \| good	15.108 \| good	37.529 \| good	0.382 \| good	2.735 \| good	0.065 \| good
2026-03-28T08:00:00.000Z	38 \| good	7.033 \| good	17.506 \| good	37.941 \| good	0.656 \| good	3.922 \| good	0.074 \| good
2026-03-28T09:00:00.000Z	44 \| good	7.845 \| good	16.442 \| good	38.004 \| good	0.711 \| good	4.301 \| good	0.08 \| good
2026-03-28T10:00:00.000Z	44 \| good	8.195 \| good	16.855 \| good	37.739 \| good	0.393 \| good	4.458 \| good	0.087 \| good
2026-03-28T11:00:00.000Z	44 \| good	8.138 \| good	18.03 \| good	38.83 \| good	0.659 \| good	3.637 \| good	0.09 \| good
2026-03-28T12:00:00.000Z	44 \| good	8.296 \| good	19.749 \| good	38.911 \| good	0.434 \| good	3.546 \| good	0.086 \| good
2026-03-28T13:00:00.000Z	44 \| good	8.375 \| good	18.875 \| good	39.554 \| good	0.434 \| good	4.227 \| good	0.085 \| good
2026-03-28T14:00:00.000Z	44 \| good	8.443 \| good	19.212 \| good	40.274 \| good	0.434 \| good	4.318 \| good	0.082 \| good
2026-03-28T15:00:00.000Z	44 \| good	8.167 \| good	19.437 \| good	40.263 \| good	0.434 \| good	5.008 \| good	0.098 \| good
2026-03-28T16:00:00.000Z	44 \| good	7.77 \| good	16.476 \| good	41.088 \| good	0.434 \| good	5.085 \| good	0.086 \| good
2026-03-28T17:00:00.000Z	38 \| good	7.472 \| good	16.12 \| good	40.69 \| good	0.434 \| good	5.586 \| good	0.087 \| good
2026-03-28T18:00:00.000Z	38 \| good	7.348 \| good	16.069 \| good	40.527 \| good	0.446 \| good	5.736 \| good	0.085 \| good
2026-03-28T19:00:00.000Z	38 \| good	7.242 \| good	16.214 \| good	39.96 \| good	0.435 \| good	6.449 \| good	0.099 \| good
2026-03-28T20:00:00.000Z	38 \| good	7.281 \| good	15.933 \| good	38.573 \| good	0.499 \| good	6.61 \| good	0.101 \| good
2026-03-28T21:00:00.000Z	38 \| good	7.213 \| good	16.31 \| good	38.779 \| good	0.435 \| good	7.38 \| good	0.091 \| good
2026-03-28T22:00:00.000Z	38 \| good	7.182 \| good	16.586 \| good	37.209 \| good	0.434 \| good	9.642 \| good	0.095 \| good
2026-03-28T23:00:00.000Z	38 \| good	6.763 \| good	17.233 \| good	36.705 \| good	0.7 \| good	7.307 \| good	0.09 \| good
2026-03-29T00:00:00.000Z	38 \| good	6.817 \| good	17.767 \| good	36.083 \| good	0.7 \| good	7.919 \| good	0.266 \| good
2026-03-29T01:00:00.000Z	38 \| good	6.895 \| good	17.19 \| good	34.874 \| good	0.7 \| good	9.794 \| good	0.264 \| good
2026-03-29T02:00:00.000Z	38 \| good	6.668 \| good	17.214 \| good	34.109 \| good	0.434 \| good	10.202 \| good	0.247 \| good
2026-03-29T03:00:00.000Z	38 \| good	6.54 \| good	16.015 \| good	33.86 \| good	0.434 \| good	5.15 \| good	0.299 \| good
2026-03-29T04:00:00.000Z	38 \| good	6.78 \| good	16.934 \| good	33.089 \| good	0.658 \| good	5.006 \| good	0.285 \| good
2026-03-29T05:00:00.000Z	38 \| good	6.8 \| good	16.519 \| good	32.283 \| good	0.382 \| good	6.276 \| good	0.089 \| good
2026-03-29T06:00:00.000Z	33 \| good	6.238 \| good	15.626 \| good	31.445 \| good	0.425 \| good	5.771 \| good	0.085 \| good
2026-03-29T07:00:00.000Z	38 \| good	6.93 \| good	15.671 \| good	31.226 \| good	0.424 \| good	5.004 \| good	0.085 \| good
2026-03-29T08:00:00.000Z	38 \| good	7.144 \| good	16.212 \| good	30.338 \| good	0.704 \| good	4.987 \| good	0.092 \| good
2026-03-29T09:00:00.000Z	38 \| good	7.266 \| good	16.11 \| good	29.199 \| good	0.703 \| good	6.31 \| good	0.105 \| good
2026-03-29T10:00:00.000Z	38 \| good	7.046 \| good	16.475 \| good	28.699 \| good	0.382 \| good	6.2 \| good	0.101 \| good
2026-03-29T11:00:00.000Z	38 \| good	6.66 \| good	15.719 \| good	30.059 \| good	0.393 \| good	4.929 \| good	0.08 \| good
2026-03-29T12:00:00.000Z	38 \| good	6.653 \| good	14.203 \| good	30.004 \| good	0.445 \| good	4.338 \| good	0.078 \| good
2026-03-29T13:00:00.000Z	33 \| good	6.316 \| good	14.673 \| good	31.192 \| good	0.706 \| good	4.987 \| good	0.089 \| good
2026-03-29T14:00:00.000Z	33 \| good	6.279 \| good	13.985 \| good	32.318 \| good	0.433 \| good	4.511 \| good	0.083 \| good
2026-03-29T15:00:00.000Z	33 \| good	6.153 \| good	13.109 \| good	33.442 \| good	0.443 \| good	4.625 \| good	0.087 \| good
2026-03-29T16:00:00.000Z	33 \| good	6.189 \| good	13.554 \| good	36.361 \| good	0.445 \| good	5.358 \| good	0.087 \| good
2026-03-29T17:00:00.000Z	35 \| good	5.698 \| good	13.278 \| good	37.976 \| good	0.442 \| good	5.36 \| good	0.085 \| good
2026-03-29T18:00:00.000Z	35 \| good	5.419 \| good	11.892 \| good	38.245 \| good	0.445 \| good	5.346 \| good	0.083 \| good
2026-03-29T19:00:00.000Z	37 \| good	5.684 \| good	12.154 \| good	39.616 \| good	0.393 \| good	4.442 \| good	0.094 \| good
2026-03-29T20:00:00.000Z	38 \| good	5.781 \| good	13.222 \| good	41.008 \| good	0.712 \| good	4.497 \| good	0.12 \| good
2026-03-29T21:00:00.000Z	38 \| good	5.774 \| good	14.13 \| good	41.449 \| good	0.445 \| good	5.359 \| good	0.082 \| good
2026-03-29T22:00:00.000Z	37 \| good	5.361 \| good	13.971 \| good	40.452 \| good	0.506 \| good	3.321 \| good	0.084 \| good
2026-03-29T23:00:00.000Z	46 \| good	4.082 \| good	11.672 \| good	49.797 \| good	0.144 \| good	1 \| good	0.117 \| good
2026-03-30T00:00:00.000Z	46 \| good	4.304 \| good	12.352 \| good	49.847 \| good	0.125 \| good	0.849 \| good	0.118 \| good
2026-03-30T01:00:00.000Z	45 \| good	4.418 \| good	11.602 \| good	49.208 \| good	0.106 \| good	0.805 \| good	0.118 \| good
2026-03-30T02:00:00.000Z	44 \| good	4.514 \| good	11.014 \| good	48.192 \| good	0.113 \| good	0.763 \| good	0.117 \| good
2026-03-30T03:00:00.000Z	44 \| good	4.582 \| good	11.275 \| good	47.348 \| good	0.099 \| good	0.747 \| good	0.118 \| good
2026-03-30T04:00:00.000Z	44 \| good	4.725 \| good	10.933 \| good	46.591 \| good	0.109 \| good	0.672 \| good	0.118 \| good
2026-03-30T05:00:00.000Z	43 \| good	4.838 \| good	11.478 \| good	46.269 \| good	0.119 \| good	0.842 \| good	0.119 \| good
2026-03-30T06:00:00.000Z	43 \| good	4.949 \| good	10.906 \| good	45.88 \| good	0.149 \| good	1.341 \| good	0.12 \| good
2026-03-30T07:00:00.000Z	43 \| good	4.94 \| good	10.281 \| good	45.869 \| good	0.171 \| good	1.708 \| good	0.124 \| good
2026-03-30T08:00:00.000Z	44 \| good	4.645 \| good	11.519 \| good	47.543 \| good	0.17 \| good	1.502 \| good	0.123 \| good
2026-03-30T09:00:00.000Z	45 \| good	4.394 \| good	12.164 \| good	48.504 \| good	0.167 \| good	1.168 \| good	0.122 \| good
2026-03-30T10:00:00.000Z	46 \| good	4.218 \| good	11.895 \| good	49.509 \| good	0.145 \| good	1.011 \| good	0.122 \| good
2026-03-30T11:00:00.000Z	46 \| good	3.98 \| good	11.696 \| good	49.906 \| good	0.127 \| good	0.862 \| good	0.121 \| good
2026-03-30T12:00:00.000Z	46 \| good	3.804 \| good	11.278 \| good	50.103 \| good	0.117 \| good	0.792 \| good	0.12 \| good
2026-03-30T13:00:00.000Z	46 \| good	3.642 \| good	11.035 \| good	50.267 \| good	0.113 \| good	0.786 \| good	0.12 \| good
2026-03-30T14:00:00.000Z	47 \| good	3.519 \| good	10.723 \| good	50.932 \| good	0.109 \| good	0.782 \| good	0.12 \| good
2026-03-30T15:00:00.000Z	47 \| good	3.578 \| good	10.485 \| good	51.267 \| good	0.111 \| good	0.883 \| good	0.12 \| good
2026-03-30T16:00:00.000Z	47 \| good	3.625 \| good	10.252 \| good	50.987 \| good	0.144 \| good	1.025 \| good	0.122 \| good
2026-03-30T17:00:00.000Z	47 \| good	3.767 \| good	9.683 \| good	50.503 \| good	0.157 \| good	1.272 \| good	0.122 \| good
2026-03-30T18:00:00.000Z	46 \| good	3.818 \| good	9.22 \| good	49.738 \| good	0.188 \| good	1.952 \| good	0.126 \| good
2026-03-30T19:00:00.000Z	45 \| good	3.887 \| good	9.125 \| good	48.593 \| good	0.215 \| good	2.001 \| good	0.125 \| good
2026-03-30T20:00:00.000Z	44 \| good	4.062 \| good	9.666 \| good	47.404 \| good	0.228 \| good	1.864 \| good	0.123 \| good
2026-03-30T21:00:00.000Z	43 \| good	4.16 \| good	10.284 \| good	46.165 \| good	0.225 \| good	1.823 \| good	0.123 \| good
2026-03-30T22:00:00.000Z	43 \| good	4.187 \| good	10.71 \| good	45.673 \| good	0.211 \| good	1.855 \| good	0.122 \| good
2026-03-30T23:00:00.000Z	42 \| good	4.098 \| good	10.633 \| good	44.956 \| good	0.2 \| good	1.752 \| good	0.123 \| good
2026-03-31T00:00:00.000Z	42 \| good	4.085 \| good	10.758 \| good	44.936 \| good	0.161 \| good	1.588 \| good	0.121 \| good
2026-03-31T01:00:00.000Z	41 \| good	4.058 \| good	11.343 \| good	44.272 \| good	0.139 \| good	1.317 \| good	0.121 \| good
2026-03-31T02:00:00.000Z	37 \| good	4.003 \| good	12.087 \| good	40.329 \| good	0.127 \| good	1.208 \| good	0.121 \| good
2026-03-31T03:00:00.000Z	38 \| good	3.928 \| good	9.649 \| good	40.858 \| good	0.117 \| good	1.198 \| good	0.121 \| good
2026-03-31T04:00:00.000Z	37 \| good	3.989 \| good	8.037 \| good	40.201 \| good	0.131 \| good	1.342 \| good	0.121 \| good
2026-03-31T05:00:00.000Z	32 \| good	4.357 \| good	8.045 \| good	35.451 \| good	0.148 \| good	1.796 \| good	0.123 \| good
2026-03-31T06:00:00.000Z	30 \| good	4.988 \| good	8.007 \| good	32.036 \| good	0.185 \| good	2.523 \| good	0.125 \| good
2026-03-31T07:00:00.000Z	28 \| good	5.137 \| good	7.322 \| good	29.851 \| good	0.255 \| good	3.633 \| good	0.127 \| good
2026-03-31T08:00:00.000Z	27 \| good	4.978 \| good	6.377 \| good	28.85 \| good	0.251 \| good	4.226 \| good	0.128 \| good
2026-03-31T09:00:00.000Z	27 \| good	3.843 \| good	6.062 \| good	28.81 \| good	0.248 \| good	2.852 \| good	0.121 \| good
2026-03-31T10:00:00.000Z	26 \| good	3.362 \| good	5.859 \| good	28.329 \| good	0.222 \| good	2.101 \| good	0.117 \| good
2026-03-31T11:00:00.000Z	28 \| good	2.929 \| good	5.261 \| good	29.701 \| good	0.157 \| good	1.578 \| good	0.113 \| good
2026-03-31T12:00:00.000Z	30 \| good	2.705 \| good	4.797 \| good	32 \| good	0.12 \| good	1.374 \| good	0.109 \| good
2026-03-31T13:00:00.000Z	31 \| good	2.825 \| good	4.754 \| good	34.159 \| good	0.113 \| good	1.159 \| good	0.108 \| good
2026-03-31T14:00:00.000Z	32 \| good	3.035 \| good	4.843 \| good	35.201 \| good	0.115 \| good	1.197 \| good	0.109 \| good
2026-03-31T15:00:00.000Z	32 \| good	2.985 \| good	5.111 \| good	35.313 \| good	0.122 \| good	1.353 \| good	0.11 \| good
2026-03-31T16:00:00.000Z	32 \| good	3.262 \| good	5.642 \| good	35.144 \| good	0.14 \| good	1.746 \| good	0.112 \| good
2026-03-31T17:00:00.000Z	32 \| good	3.675 \| good	6.53 \| good	34.947 \| good	0.146 \| good	2.471 \| good	0.115 \| good
2026-03-31T18:00:00.000Z	31 \| good	4.758 \| good	7.346 \| good	33.448 \| good	0.265 \| good	3.304 \| good	0.12 \| good
2026-03-31T19:00:00.000Z	33 \| good	5.527 \| good	8.37 \| good	31.927 \| good	0.344 \| good	4.7 \| good	0.122 \| good
2026-03-31T20:00:00.000Z	33 \| good	6.286 \| good	9.051 \| good	30.608 \| good	0.37 \| good	5.14 \| good	0.124 \| good
2026-03-31T21:00:00.000Z	38 \| good	7.041 \| good	9.812 \| good	27.884 \| good	0.351 \| good	5.626 \| good	0.125 \| good
2026-03-31T22:00:00.000Z	44 \| good	8.265 \| good	10.722 \| good	27.692 \| good	0.365 \| good	5.914 \| 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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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?