What are the current PM10 levels at Skipton, North Yorkshire?

The current PM10 levels in Skipton, North Yorkshire are 11.053 μg/m3.

What are the current sulfur dioxide (SO2) levels at Skipton, North Yorkshire?

The current sulfur dioxide (SO2) levels in Skipton, North Yorkshire are 0.764 ppb.

What are the current ozone (O3) levels at Skipton, North Yorkshire?

The current ozone (O3) levels at Skipton, North Yorkshire is 29.847 ppm.

What are the current nitrogen dioxide (NO2) levels at Skipton, North Yorkshire?

The current nitrogen dioxide (NO2) levels at Skipton, North Yorkshire is 13.054 ppb.

Real-time air quality index in Skipton, North Yorkshire today

Q: What are the current PM2.5 levels in Skipton, North Yorkshire?

The measured PM2.5 levels in Skipton, North Yorkshire at present are 5.78 μg/m3.

Stay updated with real-time air quality in Skipton, North 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

Skipton, North Yorkshire

Last updated: ... (Local time)

Common air pollutants in Skipton, North Yorkshire

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

5.78 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

11.05 μg/m³

155

255

425

605+

Ozone (O₃)

29.85 ppb

201

201+

Sulfur Dioxide (SO₂)

0.76 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

13.05 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.31 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Skipton, North Yorkshire

Get Live Pollen Counts

Skipton, North Yorkshire

Scroll To Air Quality Map

Track live Skipton, North Yorkshire air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-09-26T23:00:00.000Z	33 \| good	5.74 \| good	15.287 \| good	21.081 \| good	0.531 \| good	10.603 \| good	0.297 \| good
2026-09-27T00:00:00.000Z	38 \| good	6.738 \| good	18.146 \| good	18.089 \| good	0.467 \| good	10.04 \| good	0.227 \| good
2026-09-27T01:00:00.000Z	33 \| good	5.86 \| good	14.347 \| good	18.264 \| good	0.467 \| good	6.122 \| good	0.229 \| good
2026-09-27T02:00:00.000Z	27 \| good	5.221 \| good	15.278 \| good	18.025 \| good	0.382 \| good	6.478 \| good	0.212 \| good
2026-09-27T03:00:00.000Z	33 \| good	5.924 \| good	16.586 \| good	13.801 \| good	0.598 \| good	8.039 \| good	0.217 \| good
2026-09-27T04:00:00.000Z	33 \| good	6.246 \| good	12.499 \| good	14.913 \| good	0.515 \| good	3.324 \| good	0.205 \| good
2026-09-27T05:00:00.000Z	33 \| good	5.918 \| good	16.178 \| good	15.557 \| good	0.676 \| good	3.379 \| good	0.06 \| good
2026-09-27T06:00:00.000Z	33 \| good	6.094 \| good	12.888 \| good	15.023 \| good	0.382 \| good	3.628 \| good	0.057 \| good
2026-09-27T07:00:00.000Z	33 \| good	5.959 \| good	11.851 \| good	9.66 \| good	0.517 \| good	4.448 \| good	0.058 \| good
2026-09-27T08:00:00.000Z	33 \| good	6.069 \| good	11.326 \| good	16.257 \| good	0.515 \| good	3.673 \| good	0.061 \| good
2026-09-27T09:00:00.000Z	33 \| good	6.236 \| good	13.036 \| good	16.58 \| good	0.873 \| good	3.929 \| good	0.059 \| good
2026-09-27T10:00:00.000Z	33 \| good	5.901 \| good	13.028 \| good	20.24 \| good	0.968 \| good	4.509 \| good	0.071 \| good
2026-09-27T11:00:00.000Z	33 \| good	5.887 \| good	12.964 \| good	21.162 \| good	0.925 \| good	4.585 \| good	0.057 \| good
2026-09-27T12:00:00.000Z	44 \| good	8.404 \| good	16.518 \| good	17.496 \| good	0.956 \| good	5.174 \| good	0.055 \| good
2026-09-27T13:00:00.000Z	49 \| good	8.653 \| good	14.371 \| good	17.698 \| good	1.007 \| good	4.324 \| good	0.052 \| good
2026-09-27T14:00:00.000Z	38 \| good	6.979 \| good	12.864 \| good	24.41 \| good	0.801 \| good	3.913 \| good	0.052 \| good
2026-09-27T15:00:00.000Z	33 \| good	6.186 \| good	12.878 \| good	26.206 \| good	0.802 \| good	3.009 \| good	0.055 \| good
2026-09-27T16:00:00.000Z	44 \| good	8.253 \| good	15.798 \| good	28.059 \| good	0.631 \| good	4.067 \| good	0.054 \| good
2026-09-27T17:00:00.000Z	44 \| good	7.848 \| good	15.567 \| good	28.1 \| good	0.503 \| good	2.429 \| good	0.055 \| good
2026-09-27T18:00:00.000Z	38 \| good	6.613 \| good	13.957 \| good	31.138 \| good	0.504 \| good	3.408 \| good	0.065 \| good
2026-09-27T19:00:00.000Z	44 \| good	7.852 \| good	19.879 \| good	32.55 \| good	0.456 \| good	3.265 \| good	0.076 \| good
2026-09-27T20:00:00.000Z	44 \| good	7.784 \| good	17.834 \| good	32.066 \| good	0.457 \| good	4.439 \| good	0.086 \| good
2026-09-27T21:00:00.000Z	44 \| good	8.448 \| good	14.397 \| good	32.373 \| good	0.518 \| good	2.343 \| good	0.106 \| good
2026-09-27T22:00:00.000Z	49 \| good	8.736 \| good	14.318 \| good	32.652 \| good	0.522 \| good	7.658 \| good	0.089 \| good
2026-09-27T23:00:00.000Z	44 \| good	8.086 \| good	12.822 \| good	32.063 \| good	0.435 \| good	8.789 \| good	0.097 \| good
2026-09-28T00:00:00.000Z	44 \| good	7.65 \| good	12.285 \| good	30.613 \| good	0.382 \| good	10.487 \| good	0.255 \| good
2026-09-28T01:00:00.000Z	38 \| good	7.464 \| good	12.685 \| good	28.868 \| good	0.54 \| good	7.519 \| good	0.18 \| good
2026-09-28T02:00:00.000Z	38 \| good	6.75 \| good	13.005 \| good	27.482 \| good	0.382 \| good	6.642 \| good	0.226 \| good
2026-09-28T03:00:00.000Z	38 \| good	6.815 \| good	10.739 \| good	24.811 \| good	0.458 \| good	6.578 \| good	0.214 \| good
2026-09-28T04:00:00.000Z	38 \| good	6.892 \| good	10.141 \| good	23.212 \| good	0.458 \| good	4.323 \| good	0.218 \| good
2026-09-28T05:00:00.000Z	38 \| good	6.758 \| good	11.686 \| good	18.787 \| good	0.434 \| good	4.876 \| good	0.197 \| good
2026-09-28T06:00:00.000Z	33 \| good	6.386 \| good	12.854 \| good	19.666 \| good	0.547 \| good	4.332 \| good	0.211 \| good
2026-09-28T07:00:00.000Z	27 \| good	5.025 \| good	13.51 \| good	18.662 \| good	0.617 \| good	7.699 \| good	0.279 \| good
2026-09-28T08:00:00.000Z	27 \| good	5.383 \| good	13.31 \| good	14.498 \| good	0.763 \| good	6.606 \| good	0.264 \| good
2026-09-28T09:00:00.000Z	27 \| good	5.385 \| good	10.413 \| good	11.762 \| good	0.811 \| good	8.831 \| good	0.235 \| good
2026-09-28T10:00:00.000Z	27 \| good	4.824 \| good	11.36 \| good	7.401 \| good	0.839 \| good	13.326 \| good	0.221 \| good
2026-09-28T11:00:00.000Z	33 \| good	6.117 \| good	12.379 \| good	6.7 \| good	0.625 \| good	4.325 \| good	0.212 \| good
2026-09-28T12:00:00.000Z	33 \| good	5.824 \| good	12.023 \| good	11.658 \| good	0.877 \| good	1.992 \| good	0.188 \| good
2026-09-28T13:00:00.000Z	27 \| good	5.122 \| good	10.966 \| good	12.721 \| good	0.626 \| good	3.245 \| good	0.165 \| good
2026-09-28T14:00:00.000Z	22 \| good	4.165 \| good	10.866 \| good	13.264 \| good	0.629 \| good	2.182 \| good	0.162 \| good
2026-09-28T15:00:00.000Z	16 \| good	3.395 \| good	11.075 \| good	16.714 \| good	0.545 \| good	2.814 \| good	0.156 \| good
2026-09-28T16:00:00.000Z	27 \| good	4.536 \| good	10.467 \| good	21.646 \| good	0.544 \| good	2.604 \| good	0.153 \| good
2026-09-28T17:00:00.000Z	24 \| good	4.326 \| good	8.725 \| good	25.876 \| good	0.47 \| good	8.302 \| good	0.169 \| good
2026-09-28T18:00:00.000Z	29 \| good	4.01 \| good	10.048 \| good	31.018 \| good	0.54 \| good	5.195 \| good	0.218 \| good
2026-09-28T19:00:00.000Z	28 \| good	5.085 \| good	11.422 \| good	29.584 \| good	0.459 \| good	7.25 \| good	0.253 \| good
2026-09-28T20:00:00.000Z	29 \| good	5.331 \| good	12.839 \| good	30.785 \| good	0.591 \| good	9.992 \| good	0.324 \| good
2026-09-28T21:00:00.000Z	33 \| good	5.78 \| good	11.053 \| good	29.847 \| good	0.764 \| good	13.054 \| good	0.312 \| good
2026-09-28T22:00:00.000Z	27 \| good	5.015 \| good	11.51 \| good	24.321 \| good	0.639 \| good	9.065 \| good	0.352 \| good
2026-09-28T22:00:00.000Z	33 \| good	5.78 \| good	11.053 \| good	29.847 \| good	0.764 \| good	13.054 \| good	0.312 \| good
2026-09-28T23:00:00.000Z	44 \| good	8.241 \| good	13.934 \| good	15.44 \| good	0.847 \| good	10.098 \| good	0.193 \| good
2026-09-29T00:00:00.000Z	49 \| good	9.455 \| good	15.507 \| good	15.505 \| good	0.969 \| good	9.357 \| good	0.205 \| good
2026-09-29T01:00:00.000Z	54 \| moderate	10.613 \| good	17.17 \| good	17.726 \| good	0.74 \| good	8.047 \| good	0.208 \| good
2026-09-29T02:00:00.000Z	54 \| moderate	10.547 \| good	15.055 \| good	20.157 \| good	0.646 \| good	6.985 \| good	0.202 \| good
2026-09-29T03:00:00.000Z	52 \| moderate	10.225 \| good	14.39 \| good	21.028 \| good	0.681 \| good	5.694 \| good	0.184 \| good
2026-09-29T04:00:00.000Z	49 \| good	8.618 \| good	11.267 \| good	21.904 \| good	0.583 \| good	4.839 \| good	0.163 \| good
2026-09-29T05:00:00.000Z	38 \| good	7.222 \| good	9.748 \| good	23.828 \| good	0.486 \| good	4.19 \| good	0.151 \| good
2026-09-29T06:00:00.000Z	33 \| good	6.085 \| good	7.998 \| good	24.431 \| good	0.356 \| good	3.282 \| good	0.143 \| good
2026-09-29T07:00:00.000Z	27 \| good	5.215 \| good	7.079 \| good	26.513 \| good	0.231 \| good	2.849 \| good	0.14 \| good
2026-09-29T08:00:00.000Z	25 \| good	4.221 \| good	7.09 \| good	27.223 \| good	0.212 \| good	2.849 \| good	0.138 \| good
2026-09-29T09:00:00.000Z	27 \| good	4.235 \| good	8.447 \| good	28.979 \| good	0.231 \| good	2.919 \| good	0.137 \| good
2026-09-29T10:00:00.000Z	27 \| good	4.622 \| good	8.03 \| good	29.396 \| good	0.252 \| good	2.858 \| good	0.134 \| good
2026-09-29T11:00:00.000Z	27 \| good	4.273 \| good	7.011 \| good	29.022 \| good	0.242 \| good	2.757 \| good	0.133 \| good
2026-09-29T12:00:00.000Z	28 \| good	3.691 \| good	6.577 \| good	29.78 \| good	0.21 \| good	2.772 \| good	0.131 \| good
2026-09-29T13:00:00.000Z	28 \| good	3.965 \| good	6.855 \| good	30.019 \| good	0.251 \| good	2.567 \| good	0.13 \| good
2026-09-29T14:00:00.000Z	29 \| good	4.033 \| good	7.375 \| good	30.605 \| good	0.266 \| good	2.434 \| good	0.131 \| good
2026-09-29T15:00:00.000Z	31 \| good	4.057 \| good	7.256 \| good	32.828 \| good	0.222 \| good	2.319 \| good	0.131 \| good
2026-09-29T16:00:00.000Z	31 \| good	4.407 \| good	8.89 \| good	33.652 \| good	0.218 \| good	2.55 \| good	0.132 \| good
2026-09-29T17:00:00.000Z	33 \| good	5.545 \| good	9.919 \| good	32.926 \| good	0.269 \| good	3.254 \| good	0.139 \| good
2026-09-29T18:00:00.000Z	38 \| good	6.616 \| good	10.103 \| good	32.819 \| good	0.331 \| good	3.807 \| good	0.145 \| good
2026-09-29T19:00:00.000Z	44 \| good	8.395 \| good	12.23 \| good	32.115 \| good	0.32 \| good	3.942 \| good	0.152 \| good
2026-09-29T20:00:00.000Z	54 \| moderate	10.763 \| good	13.919 \| good	34.187 \| good	0.312 \| good	3.867 \| good	0.153 \| good
2026-09-29T21:00:00.000Z	58 \| moderate	12.98 \| fine	16.977 \| good	34.942 \| good	0.334 \| good	4.143 \| good	0.158 \| good
2026-09-29T22:00:00.000Z	60 \| moderate	14.273 \| fine	17.965 \| good	32.178 \| good	0.359 \| good	4.603 \| good	0.157 \| good
2026-09-29T23:00:00.000Z	62 \| moderate	15.024 \| fine	20.718 \| good	31.9 \| good	0.382 \| good	4.357 \| good	0.153 \| good
2026-09-30T00:00:00.000Z	64 \| moderate	15.916 \| fine	22.873 \| good	30.27 \| good	0.372 \| good	4.509 \| good	0.152 \| good
2026-09-30T01:00:00.000Z	67 \| moderate	17.951 \| fine	24.716 \| good	29.87 \| good	0.305 \| good	4.548 \| good	0.154 \| good
2026-09-30T02:00:00.000Z	69 \| moderate	18.971 \| fine	25.452 \| good	29.191 \| good	0.25 \| good	4.185 \| good	0.152 \| good
2026-09-30T03:00:00.000Z	62 \| moderate	14.998 \| fine	22.171 \| good	29.319 \| good	0.282 \| good	3.631 \| good	0.146 \| good
2026-09-30T04:00:00.000Z	58 \| moderate	13.123 \| fine	17.194 \| good	29.001 \| good	0.236 \| good	3.077 \| good	0.139 \| good
2026-09-30T05:00:00.000Z	52 \| moderate	9.719 \| good	13.457 \| good	28.611 \| good	0.216 \| good	3.404 \| good	0.138 \| good
2026-09-30T06:00:00.000Z	44 \| good	7.815 \| good	9.516 \| good	28.215 \| good	0.196 \| good	3.44 \| good	0.132 \| good
2026-09-30T07:00:00.000Z	33 \| good	5.61 \| good	8.131 \| good	28.085 \| good	0.192 \| good	3.536 \| good	0.129 \| good
2026-09-30T08:00:00.000Z	33 \| good	5.82 \| good	7.963 \| good	26.934 \| good	0.157 \| good	3.609 \| good	0.128 \| good
2026-09-30T09:00:00.000Z	27 \| good	4.942 \| good	6.258 \| good	27.824 \| good	0.1 \| good	3.338 \| good	0.122 \| good
2026-09-30T10:00:00.000Z	26 \| good	3.627 \| good	5.264 \| good	28.227 \| good	0.114 \| good	2.844 \| good	0.116 \| good
2026-09-30T11:00:00.000Z	28 \| good	3.91 \| good	4.991 \| good	29.522 \| good	0.094 \| good	2.23 \| good	0.111 \| good
2026-09-30T12:00:00.000Z	29 \| good	3.904 \| good	6.739 \| good	31.077 \| good	0.089 \| good	1.662 \| good	0.11 \| good
2026-09-30T13:00:00.000Z	32 \| good	4.114 \| good	6.469 \| good	34.721 \| good	0.098 \| good	1.126 \| good	0.112 \| good
2026-09-30T14:00:00.000Z	32 \| good	4.069 \| good	7.487 \| good	35.292 \| good	0.105 \| good	1.098 \| good	0.116 \| good
2026-09-30T15:00:00.000Z	33 \| good	4.011 \| good	7.929 \| good	35.72 \| good	0.104 \| good	1.24 \| good	0.121 \| good
2026-09-30T16:00:00.000Z	32 \| good	4.108 \| good	8.249 \| good	35.376 \| good	0.105 \| good	1.42 \| good	0.124 \| good
2026-09-30T17:00:00.000Z	31 \| good	4.153 \| good	8.838 \| good	33.509 \| good	0.124 \| good	2.02 \| good	0.128 \| good
2026-09-30T18:00:00.000Z	30 \| good	4.279 \| good	9.681 \| good	31.647 \| good	0.165 \| good	3.014 \| good	0.133 \| good
2026-09-30T19:00:00.000Z	28 \| good	4.63 \| good	9.902 \| good	30.419 \| good	0.214 \| good	3.678 \| good	0.135 \| good
2026-09-30T20:00:00.000Z	27 \| good	5.275 \| good	9.699 \| good	28.238 \| good	0.219 \| good	3.943 \| good	0.135 \| good
2026-09-30T21:00:00.000Z	27 \| good	5.474 \| good	10.761 \| good	27.008 \| good	0.214 \| good	4.147 \| good	0.137 \| good
2026-09-30T22:00:00.000Z	33 \| good	5.634 \| good	11.666 \| good	26.052 \| good	0.218 \| good	4.204 \| good	0.136 \| good

Skipton

Empower business decisions with accurate air quality data

Skipton, North Yorkshire air quality map: Real-time AQI near you

0.31ppm

How accurate is North Yorkshire, UK air quality data?

Air quality measurements for North Yorkshire, 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 Skipton, North Yorkshire updated?

Air quality data for Skipton, North Yorkshire is updated on an hourly basis.

When did Skipton, North Yorkshire experience the worst air quality in the last 24 hours?

The worst air quality in Skipton, North Yorkshire was recorded at 10:00:00 on 2026-09-27.

When did Skipton, North Yorkshire have its best air quality in the last 24 hours?

The best air quality in Skipton, North Yorkshire was recorded at 03:00:00 on 2026-09-28.

What is the real-time air quality index for Skipton, North Yorkshire?

The real-time air quality index in Skipton, North Yorkshire is 33, currently categorized as Good.

Which pollutant is found most often in Skipton, North Yorkshire?

The most common pollutant in Skipton, North Yorkshire is PM2.5.

What can I do if the air quality in Skipton, North Yorkshire is poor?

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

What are the current PM_2.5 levels in Skipton, North Yorkshire?

The measured PM_2.5 levels in Skipton, North Yorkshire at present are 5.78 μg/m³.

What are the current PM₁₀ levels at Skipton, North Yorkshire?

The current PM₁₀ levels in Skipton, North Yorkshire are 11.053 μg/m³.

What are the current carbon monoxide (CO) levels at Skipton, North Yorkshire?

The current carbon monoxide (CO) level in Skipton, North Yorkshire is 0.312 ppm.

What are the current sulfur dioxide (SO₂) levels at Skipton, North Yorkshire?

The current sulfur dioxide (SO₂) levels in Skipton, North Yorkshire are 0.764 ppb.

What are the current ozone (O₃) levels at Skipton, North Yorkshire?

The current ozone (O₃) levels at Skipton, North Yorkshire is 29.847 ppm.

What are the current nitrogen dioxide (NO₂) levels at Skipton, North Yorkshire?

The current nitrogen dioxide (NO₂) levels at Skipton, North Yorkshire is 13.054 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-09-26T23:00:00.000Z	33 \| good	5.74 \| good	15.287 \| good	21.081 \| good	0.531 \| good	10.603 \| good	0.297 \| good
2026-09-27T00:00:00.000Z	38 \| good	6.738 \| good	18.146 \| good	18.089 \| good	0.467 \| good	10.04 \| good	0.227 \| good
2026-09-27T01:00:00.000Z	33 \| good	5.86 \| good	14.347 \| good	18.264 \| good	0.467 \| good	6.122 \| good	0.229 \| good
2026-09-27T02:00:00.000Z	27 \| good	5.221 \| good	15.278 \| good	18.025 \| good	0.382 \| good	6.478 \| good	0.212 \| good
2026-09-27T03:00:00.000Z	33 \| good	5.924 \| good	16.586 \| good	13.801 \| good	0.598 \| good	8.039 \| good	0.217 \| good
2026-09-27T04:00:00.000Z	33 \| good	6.246 \| good	12.499 \| good	14.913 \| good	0.515 \| good	3.324 \| good	0.205 \| good
2026-09-27T05:00:00.000Z	33 \| good	5.918 \| good	16.178 \| good	15.557 \| good	0.676 \| good	3.379 \| good	0.06 \| good
2026-09-27T06:00:00.000Z	33 \| good	6.094 \| good	12.888 \| good	15.023 \| good	0.382 \| good	3.628 \| good	0.057 \| good
2026-09-27T07:00:00.000Z	33 \| good	5.959 \| good	11.851 \| good	9.66 \| good	0.517 \| good	4.448 \| good	0.058 \| good
2026-09-27T08:00:00.000Z	33 \| good	6.069 \| good	11.326 \| good	16.257 \| good	0.515 \| good	3.673 \| good	0.061 \| good
2026-09-27T09:00:00.000Z	33 \| good	6.236 \| good	13.036 \| good	16.58 \| good	0.873 \| good	3.929 \| good	0.059 \| good
2026-09-27T10:00:00.000Z	33 \| good	5.901 \| good	13.028 \| good	20.24 \| good	0.968 \| good	4.509 \| good	0.071 \| good
2026-09-27T11:00:00.000Z	33 \| good	5.887 \| good	12.964 \| good	21.162 \| good	0.925 \| good	4.585 \| good	0.057 \| good
2026-09-27T12:00:00.000Z	44 \| good	8.404 \| good	16.518 \| good	17.496 \| good	0.956 \| good	5.174 \| good	0.055 \| good
2026-09-27T13:00:00.000Z	49 \| good	8.653 \| good	14.371 \| good	17.698 \| good	1.007 \| good	4.324 \| good	0.052 \| good
2026-09-27T14:00:00.000Z	38 \| good	6.979 \| good	12.864 \| good	24.41 \| good	0.801 \| good	3.913 \| good	0.052 \| good
2026-09-27T15:00:00.000Z	33 \| good	6.186 \| good	12.878 \| good	26.206 \| good	0.802 \| good	3.009 \| good	0.055 \| good
2026-09-27T16:00:00.000Z	44 \| good	8.253 \| good	15.798 \| good	28.059 \| good	0.631 \| good	4.067 \| good	0.054 \| good
2026-09-27T17:00:00.000Z	44 \| good	7.848 \| good	15.567 \| good	28.1 \| good	0.503 \| good	2.429 \| good	0.055 \| good
2026-09-27T18:00:00.000Z	38 \| good	6.613 \| good	13.957 \| good	31.138 \| good	0.504 \| good	3.408 \| good	0.065 \| good
2026-09-27T19:00:00.000Z	44 \| good	7.852 \| good	19.879 \| good	32.55 \| good	0.456 \| good	3.265 \| good	0.076 \| good
2026-09-27T20:00:00.000Z	44 \| good	7.784 \| good	17.834 \| good	32.066 \| good	0.457 \| good	4.439 \| good	0.086 \| good
2026-09-27T21:00:00.000Z	44 \| good	8.448 \| good	14.397 \| good	32.373 \| good	0.518 \| good	2.343 \| good	0.106 \| good
2026-09-27T22:00:00.000Z	49 \| good	8.736 \| good	14.318 \| good	32.652 \| good	0.522 \| good	7.658 \| good	0.089 \| good
2026-09-27T23:00:00.000Z	44 \| good	8.086 \| good	12.822 \| good	32.063 \| good	0.435 \| good	8.789 \| good	0.097 \| good
2026-09-28T00:00:00.000Z	44 \| good	7.65 \| good	12.285 \| good	30.613 \| good	0.382 \| good	10.487 \| good	0.255 \| good
2026-09-28T01:00:00.000Z	38 \| good	7.464 \| good	12.685 \| good	28.868 \| good	0.54 \| good	7.519 \| good	0.18 \| good
2026-09-28T02:00:00.000Z	38 \| good	6.75 \| good	13.005 \| good	27.482 \| good	0.382 \| good	6.642 \| good	0.226 \| good
2026-09-28T03:00:00.000Z	38 \| good	6.815 \| good	10.739 \| good	24.811 \| good	0.458 \| good	6.578 \| good	0.214 \| good
2026-09-28T04:00:00.000Z	38 \| good	6.892 \| good	10.141 \| good	23.212 \| good	0.458 \| good	4.323 \| good	0.218 \| good
2026-09-28T05:00:00.000Z	38 \| good	6.758 \| good	11.686 \| good	18.787 \| good	0.434 \| good	4.876 \| good	0.197 \| good
2026-09-28T06:00:00.000Z	33 \| good	6.386 \| good	12.854 \| good	19.666 \| good	0.547 \| good	4.332 \| good	0.211 \| good
2026-09-28T07:00:00.000Z	27 \| good	5.025 \| good	13.51 \| good	18.662 \| good	0.617 \| good	7.699 \| good	0.279 \| good
2026-09-28T08:00:00.000Z	27 \| good	5.383 \| good	13.31 \| good	14.498 \| good	0.763 \| good	6.606 \| good	0.264 \| good
2026-09-28T09:00:00.000Z	27 \| good	5.385 \| good	10.413 \| good	11.762 \| good	0.811 \| good	8.831 \| good	0.235 \| good
2026-09-28T10:00:00.000Z	27 \| good	4.824 \| good	11.36 \| good	7.401 \| good	0.839 \| good	13.326 \| good	0.221 \| good
2026-09-28T11:00:00.000Z	33 \| good	6.117 \| good	12.379 \| good	6.7 \| good	0.625 \| good	4.325 \| good	0.212 \| good
2026-09-28T12:00:00.000Z	33 \| good	5.824 \| good	12.023 \| good	11.658 \| good	0.877 \| good	1.992 \| good	0.188 \| good
2026-09-28T13:00:00.000Z	27 \| good	5.122 \| good	10.966 \| good	12.721 \| good	0.626 \| good	3.245 \| good	0.165 \| good
2026-09-28T14:00:00.000Z	22 \| good	4.165 \| good	10.866 \| good	13.264 \| good	0.629 \| good	2.182 \| good	0.162 \| good
2026-09-28T15:00:00.000Z	16 \| good	3.395 \| good	11.075 \| good	16.714 \| good	0.545 \| good	2.814 \| good	0.156 \| good
2026-09-28T16:00:00.000Z	27 \| good	4.536 \| good	10.467 \| good	21.646 \| good	0.544 \| good	2.604 \| good	0.153 \| good
2026-09-28T17:00:00.000Z	24 \| good	4.326 \| good	8.725 \| good	25.876 \| good	0.47 \| good	8.302 \| good	0.169 \| good
2026-09-28T18:00:00.000Z	29 \| good	4.01 \| good	10.048 \| good	31.018 \| good	0.54 \| good	5.195 \| good	0.218 \| good
2026-09-28T19:00:00.000Z	28 \| good	5.085 \| good	11.422 \| good	29.584 \| good	0.459 \| good	7.25 \| good	0.253 \| good
2026-09-28T20:00:00.000Z	29 \| good	5.331 \| good	12.839 \| good	30.785 \| good	0.591 \| good	9.992 \| good	0.324 \| good
2026-09-28T21:00:00.000Z	33 \| good	5.78 \| good	11.053 \| good	29.847 \| good	0.764 \| good	13.054 \| good	0.312 \| good
2026-09-28T22:00:00.000Z	27 \| good	5.015 \| good	11.51 \| good	24.321 \| good	0.639 \| good	9.065 \| good	0.352 \| good
2026-09-28T22:00:00.000Z	33 \| good	5.78 \| good	11.053 \| good	29.847 \| good	0.764 \| good	13.054 \| good	0.312 \| good
2026-09-28T23:00:00.000Z	44 \| good	8.241 \| good	13.934 \| good	15.44 \| good	0.847 \| good	10.098 \| good	0.193 \| good
2026-09-29T00:00:00.000Z	49 \| good	9.455 \| good	15.507 \| good	15.505 \| good	0.969 \| good	9.357 \| good	0.205 \| good
2026-09-29T01:00:00.000Z	54 \| moderate	10.613 \| good	17.17 \| good	17.726 \| good	0.74 \| good	8.047 \| good	0.208 \| good
2026-09-29T02:00:00.000Z	54 \| moderate	10.547 \| good	15.055 \| good	20.157 \| good	0.646 \| good	6.985 \| good	0.202 \| good
2026-09-29T03:00:00.000Z	52 \| moderate	10.225 \| good	14.39 \| good	21.028 \| good	0.681 \| good	5.694 \| good	0.184 \| good
2026-09-29T04:00:00.000Z	49 \| good	8.618 \| good	11.267 \| good	21.904 \| good	0.583 \| good	4.839 \| good	0.163 \| good
2026-09-29T05:00:00.000Z	38 \| good	7.222 \| good	9.748 \| good	23.828 \| good	0.486 \| good	4.19 \| good	0.151 \| good
2026-09-29T06:00:00.000Z	33 \| good	6.085 \| good	7.998 \| good	24.431 \| good	0.356 \| good	3.282 \| good	0.143 \| good
2026-09-29T07:00:00.000Z	27 \| good	5.215 \| good	7.079 \| good	26.513 \| good	0.231 \| good	2.849 \| good	0.14 \| good
2026-09-29T08:00:00.000Z	25 \| good	4.221 \| good	7.09 \| good	27.223 \| good	0.212 \| good	2.849 \| good	0.138 \| good
2026-09-29T09:00:00.000Z	27 \| good	4.235 \| good	8.447 \| good	28.979 \| good	0.231 \| good	2.919 \| good	0.137 \| good
2026-09-29T10:00:00.000Z	27 \| good	4.622 \| good	8.03 \| good	29.396 \| good	0.252 \| good	2.858 \| good	0.134 \| good
2026-09-29T11:00:00.000Z	27 \| good	4.273 \| good	7.011 \| good	29.022 \| good	0.242 \| good	2.757 \| good	0.133 \| good
2026-09-29T12:00:00.000Z	28 \| good	3.691 \| good	6.577 \| good	29.78 \| good	0.21 \| good	2.772 \| good	0.131 \| good
2026-09-29T13:00:00.000Z	28 \| good	3.965 \| good	6.855 \| good	30.019 \| good	0.251 \| good	2.567 \| good	0.13 \| good
2026-09-29T14:00:00.000Z	29 \| good	4.033 \| good	7.375 \| good	30.605 \| good	0.266 \| good	2.434 \| good	0.131 \| good
2026-09-29T15:00:00.000Z	31 \| good	4.057 \| good	7.256 \| good	32.828 \| good	0.222 \| good	2.319 \| good	0.131 \| good
2026-09-29T16:00:00.000Z	31 \| good	4.407 \| good	8.89 \| good	33.652 \| good	0.218 \| good	2.55 \| good	0.132 \| good
2026-09-29T17:00:00.000Z	33 \| good	5.545 \| good	9.919 \| good	32.926 \| good	0.269 \| good	3.254 \| good	0.139 \| good
2026-09-29T18:00:00.000Z	38 \| good	6.616 \| good	10.103 \| good	32.819 \| good	0.331 \| good	3.807 \| good	0.145 \| good
2026-09-29T19:00:00.000Z	44 \| good	8.395 \| good	12.23 \| good	32.115 \| good	0.32 \| good	3.942 \| good	0.152 \| good
2026-09-29T20:00:00.000Z	54 \| moderate	10.763 \| good	13.919 \| good	34.187 \| good	0.312 \| good	3.867 \| good	0.153 \| good
2026-09-29T21:00:00.000Z	58 \| moderate	12.98 \| fine	16.977 \| good	34.942 \| good	0.334 \| good	4.143 \| good	0.158 \| good
2026-09-29T22:00:00.000Z	60 \| moderate	14.273 \| fine	17.965 \| good	32.178 \| good	0.359 \| good	4.603 \| good	0.157 \| good
2026-09-29T23:00:00.000Z	62 \| moderate	15.024 \| fine	20.718 \| good	31.9 \| good	0.382 \| good	4.357 \| good	0.153 \| good
2026-09-30T00:00:00.000Z	64 \| moderate	15.916 \| fine	22.873 \| good	30.27 \| good	0.372 \| good	4.509 \| good	0.152 \| good
2026-09-30T01:00:00.000Z	67 \| moderate	17.951 \| fine	24.716 \| good	29.87 \| good	0.305 \| good	4.548 \| good	0.154 \| good
2026-09-30T02:00:00.000Z	69 \| moderate	18.971 \| fine	25.452 \| good	29.191 \| good	0.25 \| good	4.185 \| good	0.152 \| good
2026-09-30T03:00:00.000Z	62 \| moderate	14.998 \| fine	22.171 \| good	29.319 \| good	0.282 \| good	3.631 \| good	0.146 \| good
2026-09-30T04:00:00.000Z	58 \| moderate	13.123 \| fine	17.194 \| good	29.001 \| good	0.236 \| good	3.077 \| good	0.139 \| good
2026-09-30T05:00:00.000Z	52 \| moderate	9.719 \| good	13.457 \| good	28.611 \| good	0.216 \| good	3.404 \| good	0.138 \| good
2026-09-30T06:00:00.000Z	44 \| good	7.815 \| good	9.516 \| good	28.215 \| good	0.196 \| good	3.44 \| good	0.132 \| good
2026-09-30T07:00:00.000Z	33 \| good	5.61 \| good	8.131 \| good	28.085 \| good	0.192 \| good	3.536 \| good	0.129 \| good
2026-09-30T08:00:00.000Z	33 \| good	5.82 \| good	7.963 \| good	26.934 \| good	0.157 \| good	3.609 \| good	0.128 \| good
2026-09-30T09:00:00.000Z	27 \| good	4.942 \| good	6.258 \| good	27.824 \| good	0.1 \| good	3.338 \| good	0.122 \| good
2026-09-30T10:00:00.000Z	26 \| good	3.627 \| good	5.264 \| good	28.227 \| good	0.114 \| good	2.844 \| good	0.116 \| good
2026-09-30T11:00:00.000Z	28 \| good	3.91 \| good	4.991 \| good	29.522 \| good	0.094 \| good	2.23 \| good	0.111 \| good
2026-09-30T12:00:00.000Z	29 \| good	3.904 \| good	6.739 \| good	31.077 \| good	0.089 \| good	1.662 \| good	0.11 \| good
2026-09-30T13:00:00.000Z	32 \| good	4.114 \| good	6.469 \| good	34.721 \| good	0.098 \| good	1.126 \| good	0.112 \| good
2026-09-30T14:00:00.000Z	32 \| good	4.069 \| good	7.487 \| good	35.292 \| good	0.105 \| good	1.098 \| good	0.116 \| good
2026-09-30T15:00:00.000Z	33 \| good	4.011 \| good	7.929 \| good	35.72 \| good	0.104 \| good	1.24 \| good	0.121 \| good
2026-09-30T16:00:00.000Z	32 \| good	4.108 \| good	8.249 \| good	35.376 \| good	0.105 \| good	1.42 \| good	0.124 \| good
2026-09-30T17:00:00.000Z	31 \| good	4.153 \| good	8.838 \| good	33.509 \| good	0.124 \| good	2.02 \| good	0.128 \| good
2026-09-30T18:00:00.000Z	30 \| good	4.279 \| good	9.681 \| good	31.647 \| good	0.165 \| good	3.014 \| good	0.133 \| good
2026-09-30T19:00:00.000Z	28 \| good	4.63 \| good	9.902 \| good	30.419 \| good	0.214 \| good	3.678 \| good	0.135 \| good
2026-09-30T20:00:00.000Z	27 \| good	5.275 \| good	9.699 \| good	28.238 \| good	0.219 \| good	3.943 \| good	0.135 \| good
2026-09-30T21:00:00.000Z	27 \| good	5.474 \| good	10.761 \| good	27.008 \| good	0.214 \| good	4.147 \| good	0.137 \| good
2026-09-30T22:00:00.000Z	33 \| good	5.634 \| good	11.666 \| good	26.052 \| good	0.218 \| good	4.204 \| good	0.136 \| good

Real-time air quality index in Skipton, North Yorkshire today

Common air pollutants in Skipton, North Yorkshire

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Skipton, North Yorkshire air quality forecast and history

Empower business decisions with accurate air quality data

Skipton, North Yorkshire air quality map: Real-time AQI near you

Air quality in nearby cities

Barnoldswick, Lancashire

Keighley, West Yorkshire

Ilkley, West Yorkshire

Colne, Lancashire

Bingley, West Yorkshire

Nelson, Lancashire

How accurate is North Yorkshire, UK air quality data?

Air quality levels in UK

Frequently asked questions

How frequently is the air quality data for Skipton, North Yorkshire updated?

When did Skipton, North Yorkshire experience the worst air quality in the last 24 hours?

When did Skipton, North Yorkshire have its best air quality in the last 24 hours?

What is the real-time air quality index for Skipton, North Yorkshire?

Which pollutant is found most often in Skipton, North Yorkshire?

What can I do if the air quality in Skipton, North Yorkshire is poor?

What are the current PM2.5 levels in Skipton, North Yorkshire?

What are the current PM10 levels at Skipton, North Yorkshire?

What are the current carbon monoxide (CO) levels at Skipton, North Yorkshire?

What are the current sulfur dioxide (SO2) levels at Skipton, North Yorkshire?

What are the current ozone (O3) levels at Skipton, North Yorkshire?

What are the current nitrogen dioxide (NO2) levels at Skipton, North Yorkshire?

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 Skipton, North Yorkshire?

What are the current PM₁₀ levels at Skipton, North Yorkshire?

What are the current sulfur dioxide (SO₂) levels at Skipton, North Yorkshire?

What are the current ozone (O₃) levels at Skipton, North Yorkshire?

What are the current nitrogen dioxide (NO₂) levels at Skipton, North Yorkshire?