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

The current PM10 levels in Skipton, North Yorkshire are 12.204 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 0.518 ppb.

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

The current ozone (O3) levels at Skipton, North Yorkshire is 40.724 ppm.

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

The current nitrogen dioxide (NO2) levels at Skipton, North Yorkshire is 2.193 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 3.995 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)

5.48 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

11.07 μg/m³

155

255

425

605+

Ozone (O₃)

43.65 ppb

201

201+

Sulfur Dioxide (SO₂)

0.60 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

2.67 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.09 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

High

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
2026-03-28T00:00:00.000Z	36 \| good	5.733 \| good	12.271 \| good	38.686 \| good	0.517 \| good	4.101 \| good	0.273 \| good
2026-03-28T01:00:00.000Z	35 \| good	5.867 \| good	11.128 \| good	37.984 \| good	0.518 \| good	2.772 \| good	0.23 \| good
2026-03-28T02:00:00.000Z	38 \| good	6.563 \| good	9.756 \| good	39.403 \| good	0.565 \| good	1.421 \| good	0.217 \| good
2026-03-28T03:00:00.000Z	38 \| good	6.778 \| good	13.248 \| good	37.309 \| good	0.382 \| good	1.229 \| good	0.209 \| good
2026-03-28T04:00:00.000Z	36 \| good	6.475 \| good	12.767 \| good	39.11 \| good	0.435 \| good	2.646 \| good	0.204 \| good
2026-03-28T05:00:00.000Z	37 \| good	5.937 \| good	15.778 \| good	40.242 \| good	0.537 \| good	2.323 \| good	0.2 \| good
2026-03-28T06:00:00.000Z	36 \| good	5.916 \| good	13.476 \| good	39.348 \| good	0.434 \| good	0.969 \| good	0.198 \| good
2026-03-28T07:00:00.000Z	38 \| good	7.168 \| good	16.356 \| good	40.477 \| good	0.382 \| good	1.705 \| good	0.07 \| good
2026-03-28T08:00:00.000Z	38 \| good	7.357 \| good	18.052 \| good	41.07 \| good	0.485 \| good	1.633 \| good	0.079 \| good
2026-03-28T09:00:00.000Z	44 \| good	7.661 \| good	14.642 \| good	40.493 \| good	0.619 \| good	2.008 \| good	0.086 \| good
2026-03-28T10:00:00.000Z	38 \| good	6.934 \| good	15.194 \| good	37.338 \| good	0.435 \| good	4.363 \| good	0.094 \| good
2026-03-28T11:00:00.000Z	38 \| good	6.949 \| good	17.597 \| good	40.67 \| good	0.538 \| good	3.124 \| good	0.097 \| good
2026-03-28T12:00:00.000Z	38 \| good	7.03 \| good	15.784 \| good	39.742 \| good	0.464 \| good	3.705 \| good	0.092 \| good
2026-03-28T13:00:00.000Z	38 \| good	7.415 \| good	16.943 \| good	41.368 \| good	0.464 \| good	3.274 \| good	0.092 \| good
2026-03-28T14:00:00.000Z	44 \| good	7.875 \| good	18.838 \| good	40.118 \| good	0.464 \| good	4.205 \| good	0.088 \| good
2026-03-28T15:00:00.000Z	38 \| good	7.07 \| good	18.565 \| good	38.982 \| good	0.464 \| good	4.833 \| good	0.106 \| good
2026-03-28T16:00:00.000Z	38 \| good	7.264 \| good	20.272 \| good	41.195 \| good	0.464 \| good	4.062 \| good	0.092 \| good
2026-03-28T17:00:00.000Z	38 \| good	6.701 \| good	15.713 \| good	41.37 \| good	0.464 \| good	4.216 \| good	0.094 \| good
2026-03-28T18:00:00.000Z	38 \| good	6.858 \| good	14.275 \| good	40.982 \| good	0.516 \| good	4.295 \| good	0.092 \| good
2026-03-28T19:00:00.000Z	39 \| good	5.928 \| good	12.527 \| good	41.73 \| good	0.464 \| good	3.702 \| good	0.106 \| good
2026-03-28T20:00:00.000Z	39 \| good	5.915 \| good	13.414 \| good	41.726 \| good	0.599 \| good	5.167 \| good	0.109 \| good
2026-03-28T21:00:00.000Z	38 \| good	6.676 \| good	14.377 \| good	40.621 \| good	0.464 \| good	5.758 \| good	0.098 \| good
2026-03-28T22:00:00.000Z	34 \| good	6.127 \| good	13.701 \| good	37.03 \| good	0.464 \| good	2.786 \| good	0.102 \| good
2026-03-28T23:00:00.000Z	33 \| good	5.704 \| good	14.587 \| good	36.207 \| good	0.567 \| good	4.57 \| good	0.098 \| good
2026-03-29T00:00:00.000Z	33 \| good	5.87 \| good	18.755 \| good	35.389 \| good	0.568 \| good	8.086 \| good	0.266 \| good
2026-03-29T01:00:00.000Z	33 \| good	5.701 \| good	14.12 \| good	35.026 \| good	0.567 \| good	6.591 \| good	0.264 \| good
2026-03-29T02:00:00.000Z	33 \| good	6.222 \| good	15.37 \| good	35.709 \| good	0.464 \| good	7.15 \| good	0.247 \| good
2026-03-29T03:00:00.000Z	33 \| good	6.314 \| good	12.996 \| good	32.457 \| good	0.464 \| good	3.559 \| good	0.299 \| good
2026-03-29T04:00:00.000Z	33 \| good	6.226 \| good	12.075 \| good	33.287 \| good	0.539 \| good	4.503 \| good	0.285 \| good
2026-03-29T05:00:00.000Z	33 \| good	5.647 \| good	15.463 \| good	33.88 \| good	0.382 \| good	2.493 \| good	0.096 \| good
2026-03-29T06:00:00.000Z	33 \| good	6.202 \| good	14.256 \| good	32.93 \| good	0.472 \| good	1.801 \| good	0.092 \| good
2026-03-29T07:00:00.000Z	33 \| good	5.846 \| good	14.409 \| good	32.118 \| good	0.475 \| good	2.807 \| good	0.092 \| good
2026-03-29T08:00:00.000Z	31 \| good	5.268 \| good	13.872 \| good	32.628 \| good	0.562 \| good	2.162 \| good	0.1 \| good
2026-03-29T09:00:00.000Z	33 \| good	5.763 \| good	13.696 \| good	33.21 \| good	0.563 \| good	2.382 \| good	0.113 \| good
2026-03-29T10:00:00.000Z	33 \| good	5.562 \| good	11.255 \| good	32.969 \| good	0.382 \| good	2.676 \| good	0.109 \| good
2026-03-29T11:00:00.000Z	30 \| good	5.489 \| good	10.56 \| good	32.374 \| good	0.435 \| good	2.515 \| good	0.086 \| good
2026-03-29T12:00:00.000Z	33 \| good	5.602 \| good	11.645 \| good	33.106 \| good	0.518 \| good	2.222 \| good	0.084 \| good
2026-03-29T13:00:00.000Z	34 \| good	5.841 \| good	12.561 \| good	36.986 \| good	0.596 \| good	2.207 \| good	0.096 \| good
2026-03-29T14:00:00.000Z	33 \| good	5.064 \| good	13.515 \| good	35.569 \| good	0.464 \| good	2.289 \| good	0.089 \| good
2026-03-29T15:00:00.000Z	34 \| good	5.031 \| good	13.375 \| good	37.248 \| good	0.464 \| good	2.514 \| good	0.094 \| good
2026-03-29T16:00:00.000Z	33 \| good	5.651 \| good	10.954 \| good	34.767 \| good	0.517 \| good	2.912 \| good	0.093 \| good
2026-03-29T17:00:00.000Z	36 \| good	4.75 \| good	11.037 \| good	38.862 \| good	0.504 \| good	2.785 \| good	0.092 \| good
2026-03-29T18:00:00.000Z	39 \| good	5.251 \| good	10.836 \| good	41.587 \| good	0.516 \| good	1.518 \| good	0.09 \| good
2026-03-29T19:00:00.000Z	38 \| good	5.154 \| good	10.317 \| good	41.385 \| good	0.434 \| good	1.893 \| good	0.102 \| good
2026-03-29T20:00:00.000Z	38 \| good	5.133 \| good	14.042 \| good	41.133 \| good	0.619 \| good	2.267 \| good	0.13 \| good
2026-03-29T21:00:00.000Z	38 \| good	3.995 \| good	12.204 \| good	40.724 \| good	0.518 \| good	2.193 \| good	0.089 \| good
2026-03-29T22:00:00.000Z	41 \| good	5.481 \| good	11.066 \| good	43.651 \| good	0.6 \| good	2.673 \| good	0.086 \| good
2026-03-29T23:00:00.000Z	40 \| good	5.791 \| good	12.45 \| good	43.179 \| good	0.703 \| good	4.248 \| good	0.089 \| good
2026-03-29T23:00:00.000Z	41 \| good	5.481 \| good	11.066 \| good	43.651 \| good	0.6 \| good	2.673 \| good	0.086 \| good
2026-03-29T23:00:00.000Z	46 \| good	4.079 \| good	10.757 \| good	49.67 \| good	0.083 \| good	0.458 \| good	0.115 \| good
2026-03-30T00:00:00.000Z	46 \| good	4.292 \| good	11.643 \| good	49.602 \| good	0.077 \| good	0.466 \| good	0.116 \| good
2026-03-30T01:00:00.000Z	45 \| good	4.394 \| good	11.66 \| good	48.599 \| good	0.064 \| good	0.472 \| good	0.115 \| good
2026-03-30T02:00:00.000Z	44 \| good	4.459 \| good	11.017 \| good	48.322 \| good	0.061 \| good	0.476 \| good	0.116 \| good
2026-03-30T03:00:00.000Z	44 \| good	4.536 \| good	11.723 \| good	46.949 \| good	0.061 \| good	0.452 \| good	0.116 \| good
2026-03-30T04:00:00.000Z	44 \| good	4.646 \| good	11.763 \| good	47.276 \| good	0.059 \| good	0.424 \| good	0.116 \| good
2026-03-30T05:00:00.000Z	44 \| good	4.712 \| good	11.825 \| good	47.178 \| good	0.07 \| good	0.425 \| good	0.116 \| good
2026-03-30T06:00:00.000Z	44 \| good	4.739 \| good	11.757 \| good	47.028 \| good	0.093 \| good	0.504 \| good	0.117 \| good
2026-03-30T07:00:00.000Z	44 \| good	4.643 \| good	12.196 \| good	47.287 \| good	0.09 \| good	0.584 \| good	0.119 \| good
2026-03-30T08:00:00.000Z	45 \| good	4.457 \| good	13.325 \| good	48.796 \| good	0.095 \| good	0.588 \| good	0.119 \| good
2026-03-30T09:00:00.000Z	45 \| good	4.248 \| good	13.673 \| good	48.979 \| good	0.087 \| good	0.525 \| good	0.118 \| good
2026-03-30T10:00:00.000Z	45 \| good	4.001 \| good	12.938 \| good	49.429 \| good	0.077 \| good	0.454 \| good	0.118 \| good
2026-03-30T11:00:00.000Z	46 \| good	3.778 \| good	13.165 \| good	49.805 \| good	0.069 \| good	0.406 \| good	0.117 \| good
2026-03-30T12:00:00.000Z	47 \| good	3.624 \| good	12.992 \| good	50.502 \| good	0.07 \| good	0.368 \| good	0.117 \| good
2026-03-30T13:00:00.000Z	47 \| good	3.454 \| good	12.797 \| good	50.827 \| good	0.07 \| good	0.327 \| good	0.116 \| good
2026-03-30T14:00:00.000Z	47 \| good	3.398 \| good	12.573 \| good	51.386 \| good	0.072 \| good	0.313 \| good	0.116 \| good
2026-03-30T15:00:00.000Z	48 \| good	3.362 \| good	12.372 \| good	51.684 \| good	0.081 \| good	0.344 \| good	0.116 \| good
2026-03-30T16:00:00.000Z	47 \| good	3.366 \| good	11.87 \| good	51.243 \| good	0.086 \| good	0.398 \| good	0.117 \| good
2026-03-30T17:00:00.000Z	47 \| good	3.484 \| good	11.032 \| good	51.121 \| good	0.092 \| good	0.507 \| good	0.117 \| good
2026-03-30T18:00:00.000Z	47 \| good	3.509 \| good	10.151 \| good	50.664 \| good	0.107 \| good	0.665 \| good	0.118 \| good
2026-03-30T19:00:00.000Z	46 \| good	3.574 \| good	9.808 \| good	49.684 \| good	0.12 \| good	0.878 \| good	0.118 \| good
2026-03-30T20:00:00.000Z	45 \| good	3.77 \| good	10.49 \| good	48.542 \| good	0.138 \| good	0.863 \| good	0.118 \| good
2026-03-30T21:00:00.000Z	44 \| good	3.795 \| good	10.902 \| good	47.054 \| good	0.131 \| good	0.82 \| good	0.119 \| good
2026-03-30T22:00:00.000Z	43 \| good	3.809 \| good	10.956 \| good	45.512 \| good	0.117 \| good	0.824 \| good	0.119 \| good
2026-03-30T23:00:00.000Z	43 \| good	3.785 \| good	10.624 \| good	46.278 \| good	0.1 \| good	0.823 \| good	0.119 \| good
2026-03-31T00:00:00.000Z	43 \| good	3.808 \| good	10.699 \| good	45.689 \| good	0.088 \| good	0.794 \| good	0.118 \| good
2026-03-31T01:00:00.000Z	40 \| good	3.82 \| good	11.423 \| good	42.756 \| good	0.081 \| good	0.72 \| good	0.118 \| good
2026-03-31T02:00:00.000Z	37 \| good	3.835 \| good	10.18 \| good	39.73 \| good	0.076 \| good	0.646 \| good	0.12 \| good
2026-03-31T03:00:00.000Z	37 \| good	3.698 \| good	9.081 \| good	39.603 \| good	0.082 \| good	0.766 \| good	0.12 \| good
2026-03-31T04:00:00.000Z	33 \| good	4.134 \| good	9.245 \| good	36.225 \| good	0.09 \| good	1.05 \| good	0.119 \| good
2026-03-31T05:00:00.000Z	29 \| good	4.554 \| good	9.087 \| good	31.393 \| good	0.092 \| good	1.34 \| good	0.12 \| good
2026-03-31T06:00:00.000Z	27 \| good	4.916 \| good	7.628 \| good	28.472 \| good	0.104 \| good	1.587 \| good	0.121 \| good
2026-03-31T07:00:00.000Z	27 \| good	4.694 \| good	6.655 \| good	25.901 \| good	0.123 \| good	1.875 \| good	0.121 \| good
2026-03-31T08:00:00.000Z	27 \| good	4.311 \| good	5.878 \| good	28.858 \| good	0.104 \| good	1.963 \| good	0.117 \| good
2026-03-31T09:00:00.000Z	28 \| good	3.918 \| good	5.548 \| good	30.114 \| good	0.11 \| good	1.692 \| good	0.112 \| good
2026-03-31T10:00:00.000Z	26 \| good	3.298 \| good	5.694 \| good	28.045 \| good	0.092 \| good	1.344 \| good	0.108 \| good
2026-03-31T11:00:00.000Z	27 \| good	2.536 \| good	4.979 \| good	28.893 \| good	0.078 \| good	1.007 \| good	0.105 \| good
2026-03-31T12:00:00.000Z	29 \| good	2.564 \| good	4.763 \| good	31.187 \| good	0.066 \| good	0.758 \| good	0.104 \| good
2026-03-31T13:00:00.000Z	31 \| good	2.834 \| good	4.822 \| good	33.774 \| good	0.06 \| good	0.574 \| good	0.104 \| good
2026-03-31T14:00:00.000Z	32 \| good	2.848 \| good	4.748 \| good	34.957 \| good	0.061 \| good	0.566 \| good	0.104 \| good
2026-03-31T15:00:00.000Z	33 \| good	3.147 \| good	4.889 \| good	35.553 \| good	0.063 \| good	0.619 \| good	0.104 \| good
2026-03-31T16:00:00.000Z	33 \| good	3.3 \| good	5.332 \| good	36.355 \| good	0.065 \| good	0.761 \| good	0.105 \| good
2026-03-31T17:00:00.000Z	33 \| good	3.741 \| good	5.823 \| good	36.005 \| good	0.072 \| good	0.934 \| good	0.107 \| good
2026-03-31T18:00:00.000Z	31 \| good	4.432 \| good	7.241 \| good	34.29 \| good	0.113 \| good	1.4 \| good	0.108 \| good
2026-03-31T19:00:00.000Z	30 \| good	5.074 \| good	7.957 \| good	31.973 \| good	0.18 \| good	2.095 \| good	0.11 \| good
2026-03-31T20:00:00.000Z	33 \| good	5.984 \| good	8.523 \| good	31.165 \| good	0.201 \| good	2.766 \| good	0.113 \| good
2026-03-31T21:00:00.000Z	38 \| good	6.858 \| good	9.199 \| good	30.265 \| good	0.267 \| good	3.302 \| good	0.116 \| good
2026-03-31T22:00:00.000Z	44 \| good	7.7 \| good	10.642 \| good	28.022 \| good	0.269 \| good	3.563 \| good	0.119 \| good

Skipton

Empower business decisions with accurate air quality data

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

0.09ppm

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 06:00:00 on 2026-03-29.

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 11:00:00 on 2026-03-29.

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

The real-time air quality index in Skipton, North Yorkshire is 38, currently categorized as Good.

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

The most common pollutant in Skipton, North Yorkshire is O3.

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 3.995 μg/m³.

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

The current PM₁₀ levels in Skipton, North Yorkshire are 12.204 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 0.089 ppm.

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

The current sulfur dioxide (SO₂) levels in Skipton, North Yorkshire are 0.518 ppb.

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

The current ozone (O₃) levels at Skipton, North Yorkshire is 40.724 ppm.

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

The current nitrogen dioxide (NO₂) levels at Skipton, North Yorkshire is 2.193 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-03-28T00:00:00.000Z	36 \| good	5.733 \| good	12.271 \| good	38.686 \| good	0.517 \| good	4.101 \| good	0.273 \| good
2026-03-28T01:00:00.000Z	35 \| good	5.867 \| good	11.128 \| good	37.984 \| good	0.518 \| good	2.772 \| good	0.23 \| good
2026-03-28T02:00:00.000Z	38 \| good	6.563 \| good	9.756 \| good	39.403 \| good	0.565 \| good	1.421 \| good	0.217 \| good
2026-03-28T03:00:00.000Z	38 \| good	6.778 \| good	13.248 \| good	37.309 \| good	0.382 \| good	1.229 \| good	0.209 \| good
2026-03-28T04:00:00.000Z	36 \| good	6.475 \| good	12.767 \| good	39.11 \| good	0.435 \| good	2.646 \| good	0.204 \| good
2026-03-28T05:00:00.000Z	37 \| good	5.937 \| good	15.778 \| good	40.242 \| good	0.537 \| good	2.323 \| good	0.2 \| good
2026-03-28T06:00:00.000Z	36 \| good	5.916 \| good	13.476 \| good	39.348 \| good	0.434 \| good	0.969 \| good	0.198 \| good
2026-03-28T07:00:00.000Z	38 \| good	7.168 \| good	16.356 \| good	40.477 \| good	0.382 \| good	1.705 \| good	0.07 \| good
2026-03-28T08:00:00.000Z	38 \| good	7.357 \| good	18.052 \| good	41.07 \| good	0.485 \| good	1.633 \| good	0.079 \| good
2026-03-28T09:00:00.000Z	44 \| good	7.661 \| good	14.642 \| good	40.493 \| good	0.619 \| good	2.008 \| good	0.086 \| good
2026-03-28T10:00:00.000Z	38 \| good	6.934 \| good	15.194 \| good	37.338 \| good	0.435 \| good	4.363 \| good	0.094 \| good
2026-03-28T11:00:00.000Z	38 \| good	6.949 \| good	17.597 \| good	40.67 \| good	0.538 \| good	3.124 \| good	0.097 \| good
2026-03-28T12:00:00.000Z	38 \| good	7.03 \| good	15.784 \| good	39.742 \| good	0.464 \| good	3.705 \| good	0.092 \| good
2026-03-28T13:00:00.000Z	38 \| good	7.415 \| good	16.943 \| good	41.368 \| good	0.464 \| good	3.274 \| good	0.092 \| good
2026-03-28T14:00:00.000Z	44 \| good	7.875 \| good	18.838 \| good	40.118 \| good	0.464 \| good	4.205 \| good	0.088 \| good
2026-03-28T15:00:00.000Z	38 \| good	7.07 \| good	18.565 \| good	38.982 \| good	0.464 \| good	4.833 \| good	0.106 \| good
2026-03-28T16:00:00.000Z	38 \| good	7.264 \| good	20.272 \| good	41.195 \| good	0.464 \| good	4.062 \| good	0.092 \| good
2026-03-28T17:00:00.000Z	38 \| good	6.701 \| good	15.713 \| good	41.37 \| good	0.464 \| good	4.216 \| good	0.094 \| good
2026-03-28T18:00:00.000Z	38 \| good	6.858 \| good	14.275 \| good	40.982 \| good	0.516 \| good	4.295 \| good	0.092 \| good
2026-03-28T19:00:00.000Z	39 \| good	5.928 \| good	12.527 \| good	41.73 \| good	0.464 \| good	3.702 \| good	0.106 \| good
2026-03-28T20:00:00.000Z	39 \| good	5.915 \| good	13.414 \| good	41.726 \| good	0.599 \| good	5.167 \| good	0.109 \| good
2026-03-28T21:00:00.000Z	38 \| good	6.676 \| good	14.377 \| good	40.621 \| good	0.464 \| good	5.758 \| good	0.098 \| good
2026-03-28T22:00:00.000Z	34 \| good	6.127 \| good	13.701 \| good	37.03 \| good	0.464 \| good	2.786 \| good	0.102 \| good
2026-03-28T23:00:00.000Z	33 \| good	5.704 \| good	14.587 \| good	36.207 \| good	0.567 \| good	4.57 \| good	0.098 \| good
2026-03-29T00:00:00.000Z	33 \| good	5.87 \| good	18.755 \| good	35.389 \| good	0.568 \| good	8.086 \| good	0.266 \| good
2026-03-29T01:00:00.000Z	33 \| good	5.701 \| good	14.12 \| good	35.026 \| good	0.567 \| good	6.591 \| good	0.264 \| good
2026-03-29T02:00:00.000Z	33 \| good	6.222 \| good	15.37 \| good	35.709 \| good	0.464 \| good	7.15 \| good	0.247 \| good
2026-03-29T03:00:00.000Z	33 \| good	6.314 \| good	12.996 \| good	32.457 \| good	0.464 \| good	3.559 \| good	0.299 \| good
2026-03-29T04:00:00.000Z	33 \| good	6.226 \| good	12.075 \| good	33.287 \| good	0.539 \| good	4.503 \| good	0.285 \| good
2026-03-29T05:00:00.000Z	33 \| good	5.647 \| good	15.463 \| good	33.88 \| good	0.382 \| good	2.493 \| good	0.096 \| good
2026-03-29T06:00:00.000Z	33 \| good	6.202 \| good	14.256 \| good	32.93 \| good	0.472 \| good	1.801 \| good	0.092 \| good
2026-03-29T07:00:00.000Z	33 \| good	5.846 \| good	14.409 \| good	32.118 \| good	0.475 \| good	2.807 \| good	0.092 \| good
2026-03-29T08:00:00.000Z	31 \| good	5.268 \| good	13.872 \| good	32.628 \| good	0.562 \| good	2.162 \| good	0.1 \| good
2026-03-29T09:00:00.000Z	33 \| good	5.763 \| good	13.696 \| good	33.21 \| good	0.563 \| good	2.382 \| good	0.113 \| good
2026-03-29T10:00:00.000Z	33 \| good	5.562 \| good	11.255 \| good	32.969 \| good	0.382 \| good	2.676 \| good	0.109 \| good
2026-03-29T11:00:00.000Z	30 \| good	5.489 \| good	10.56 \| good	32.374 \| good	0.435 \| good	2.515 \| good	0.086 \| good
2026-03-29T12:00:00.000Z	33 \| good	5.602 \| good	11.645 \| good	33.106 \| good	0.518 \| good	2.222 \| good	0.084 \| good
2026-03-29T13:00:00.000Z	34 \| good	5.841 \| good	12.561 \| good	36.986 \| good	0.596 \| good	2.207 \| good	0.096 \| good
2026-03-29T14:00:00.000Z	33 \| good	5.064 \| good	13.515 \| good	35.569 \| good	0.464 \| good	2.289 \| good	0.089 \| good
2026-03-29T15:00:00.000Z	34 \| good	5.031 \| good	13.375 \| good	37.248 \| good	0.464 \| good	2.514 \| good	0.094 \| good
2026-03-29T16:00:00.000Z	33 \| good	5.651 \| good	10.954 \| good	34.767 \| good	0.517 \| good	2.912 \| good	0.093 \| good
2026-03-29T17:00:00.000Z	36 \| good	4.75 \| good	11.037 \| good	38.862 \| good	0.504 \| good	2.785 \| good	0.092 \| good
2026-03-29T18:00:00.000Z	39 \| good	5.251 \| good	10.836 \| good	41.587 \| good	0.516 \| good	1.518 \| good	0.09 \| good
2026-03-29T19:00:00.000Z	38 \| good	5.154 \| good	10.317 \| good	41.385 \| good	0.434 \| good	1.893 \| good	0.102 \| good
2026-03-29T20:00:00.000Z	38 \| good	5.133 \| good	14.042 \| good	41.133 \| good	0.619 \| good	2.267 \| good	0.13 \| good
2026-03-29T21:00:00.000Z	38 \| good	3.995 \| good	12.204 \| good	40.724 \| good	0.518 \| good	2.193 \| good	0.089 \| good
2026-03-29T22:00:00.000Z	41 \| good	5.481 \| good	11.066 \| good	43.651 \| good	0.6 \| good	2.673 \| good	0.086 \| good
2026-03-29T23:00:00.000Z	40 \| good	5.791 \| good	12.45 \| good	43.179 \| good	0.703 \| good	4.248 \| good	0.089 \| good
2026-03-29T23:00:00.000Z	41 \| good	5.481 \| good	11.066 \| good	43.651 \| good	0.6 \| good	2.673 \| good	0.086 \| good
2026-03-29T23:00:00.000Z	46 \| good	4.079 \| good	10.757 \| good	49.67 \| good	0.083 \| good	0.458 \| good	0.115 \| good
2026-03-30T00:00:00.000Z	46 \| good	4.292 \| good	11.643 \| good	49.602 \| good	0.077 \| good	0.466 \| good	0.116 \| good
2026-03-30T01:00:00.000Z	45 \| good	4.394 \| good	11.66 \| good	48.599 \| good	0.064 \| good	0.472 \| good	0.115 \| good
2026-03-30T02:00:00.000Z	44 \| good	4.459 \| good	11.017 \| good	48.322 \| good	0.061 \| good	0.476 \| good	0.116 \| good
2026-03-30T03:00:00.000Z	44 \| good	4.536 \| good	11.723 \| good	46.949 \| good	0.061 \| good	0.452 \| good	0.116 \| good
2026-03-30T04:00:00.000Z	44 \| good	4.646 \| good	11.763 \| good	47.276 \| good	0.059 \| good	0.424 \| good	0.116 \| good
2026-03-30T05:00:00.000Z	44 \| good	4.712 \| good	11.825 \| good	47.178 \| good	0.07 \| good	0.425 \| good	0.116 \| good
2026-03-30T06:00:00.000Z	44 \| good	4.739 \| good	11.757 \| good	47.028 \| good	0.093 \| good	0.504 \| good	0.117 \| good
2026-03-30T07:00:00.000Z	44 \| good	4.643 \| good	12.196 \| good	47.287 \| good	0.09 \| good	0.584 \| good	0.119 \| good
2026-03-30T08:00:00.000Z	45 \| good	4.457 \| good	13.325 \| good	48.796 \| good	0.095 \| good	0.588 \| good	0.119 \| good
2026-03-30T09:00:00.000Z	45 \| good	4.248 \| good	13.673 \| good	48.979 \| good	0.087 \| good	0.525 \| good	0.118 \| good
2026-03-30T10:00:00.000Z	45 \| good	4.001 \| good	12.938 \| good	49.429 \| good	0.077 \| good	0.454 \| good	0.118 \| good
2026-03-30T11:00:00.000Z	46 \| good	3.778 \| good	13.165 \| good	49.805 \| good	0.069 \| good	0.406 \| good	0.117 \| good
2026-03-30T12:00:00.000Z	47 \| good	3.624 \| good	12.992 \| good	50.502 \| good	0.07 \| good	0.368 \| good	0.117 \| good
2026-03-30T13:00:00.000Z	47 \| good	3.454 \| good	12.797 \| good	50.827 \| good	0.07 \| good	0.327 \| good	0.116 \| good
2026-03-30T14:00:00.000Z	47 \| good	3.398 \| good	12.573 \| good	51.386 \| good	0.072 \| good	0.313 \| good	0.116 \| good
2026-03-30T15:00:00.000Z	48 \| good	3.362 \| good	12.372 \| good	51.684 \| good	0.081 \| good	0.344 \| good	0.116 \| good
2026-03-30T16:00:00.000Z	47 \| good	3.366 \| good	11.87 \| good	51.243 \| good	0.086 \| good	0.398 \| good	0.117 \| good
2026-03-30T17:00:00.000Z	47 \| good	3.484 \| good	11.032 \| good	51.121 \| good	0.092 \| good	0.507 \| good	0.117 \| good
2026-03-30T18:00:00.000Z	47 \| good	3.509 \| good	10.151 \| good	50.664 \| good	0.107 \| good	0.665 \| good	0.118 \| good
2026-03-30T19:00:00.000Z	46 \| good	3.574 \| good	9.808 \| good	49.684 \| good	0.12 \| good	0.878 \| good	0.118 \| good
2026-03-30T20:00:00.000Z	45 \| good	3.77 \| good	10.49 \| good	48.542 \| good	0.138 \| good	0.863 \| good	0.118 \| good
2026-03-30T21:00:00.000Z	44 \| good	3.795 \| good	10.902 \| good	47.054 \| good	0.131 \| good	0.82 \| good	0.119 \| good
2026-03-30T22:00:00.000Z	43 \| good	3.809 \| good	10.956 \| good	45.512 \| good	0.117 \| good	0.824 \| good	0.119 \| good
2026-03-30T23:00:00.000Z	43 \| good	3.785 \| good	10.624 \| good	46.278 \| good	0.1 \| good	0.823 \| good	0.119 \| good
2026-03-31T00:00:00.000Z	43 \| good	3.808 \| good	10.699 \| good	45.689 \| good	0.088 \| good	0.794 \| good	0.118 \| good
2026-03-31T01:00:00.000Z	40 \| good	3.82 \| good	11.423 \| good	42.756 \| good	0.081 \| good	0.72 \| good	0.118 \| good
2026-03-31T02:00:00.000Z	37 \| good	3.835 \| good	10.18 \| good	39.73 \| good	0.076 \| good	0.646 \| good	0.12 \| good
2026-03-31T03:00:00.000Z	37 \| good	3.698 \| good	9.081 \| good	39.603 \| good	0.082 \| good	0.766 \| good	0.12 \| good
2026-03-31T04:00:00.000Z	33 \| good	4.134 \| good	9.245 \| good	36.225 \| good	0.09 \| good	1.05 \| good	0.119 \| good
2026-03-31T05:00:00.000Z	29 \| good	4.554 \| good	9.087 \| good	31.393 \| good	0.092 \| good	1.34 \| good	0.12 \| good
2026-03-31T06:00:00.000Z	27 \| good	4.916 \| good	7.628 \| good	28.472 \| good	0.104 \| good	1.587 \| good	0.121 \| good
2026-03-31T07:00:00.000Z	27 \| good	4.694 \| good	6.655 \| good	25.901 \| good	0.123 \| good	1.875 \| good	0.121 \| good
2026-03-31T08:00:00.000Z	27 \| good	4.311 \| good	5.878 \| good	28.858 \| good	0.104 \| good	1.963 \| good	0.117 \| good
2026-03-31T09:00:00.000Z	28 \| good	3.918 \| good	5.548 \| good	30.114 \| good	0.11 \| good	1.692 \| good	0.112 \| good
2026-03-31T10:00:00.000Z	26 \| good	3.298 \| good	5.694 \| good	28.045 \| good	0.092 \| good	1.344 \| good	0.108 \| good
2026-03-31T11:00:00.000Z	27 \| good	2.536 \| good	4.979 \| good	28.893 \| good	0.078 \| good	1.007 \| good	0.105 \| good
2026-03-31T12:00:00.000Z	29 \| good	2.564 \| good	4.763 \| good	31.187 \| good	0.066 \| good	0.758 \| good	0.104 \| good
2026-03-31T13:00:00.000Z	31 \| good	2.834 \| good	4.822 \| good	33.774 \| good	0.06 \| good	0.574 \| good	0.104 \| good
2026-03-31T14:00:00.000Z	32 \| good	2.848 \| good	4.748 \| good	34.957 \| good	0.061 \| good	0.566 \| good	0.104 \| good
2026-03-31T15:00:00.000Z	33 \| good	3.147 \| good	4.889 \| good	35.553 \| good	0.063 \| good	0.619 \| good	0.104 \| good
2026-03-31T16:00:00.000Z	33 \| good	3.3 \| good	5.332 \| good	36.355 \| good	0.065 \| good	0.761 \| good	0.105 \| good
2026-03-31T17:00:00.000Z	33 \| good	3.741 \| good	5.823 \| good	36.005 \| good	0.072 \| good	0.934 \| good	0.107 \| good
2026-03-31T18:00:00.000Z	31 \| good	4.432 \| good	7.241 \| good	34.29 \| good	0.113 \| good	1.4 \| good	0.108 \| good
2026-03-31T19:00:00.000Z	30 \| good	5.074 \| good	7.957 \| good	31.973 \| good	0.18 \| good	2.095 \| good	0.11 \| good
2026-03-31T20:00:00.000Z	33 \| good	5.984 \| good	8.523 \| good	31.165 \| good	0.201 \| good	2.766 \| good	0.113 \| good
2026-03-31T21:00:00.000Z	38 \| good	6.858 \| good	9.199 \| good	30.265 \| good	0.267 \| good	3.302 \| good	0.116 \| good
2026-03-31T22:00:00.000Z	44 \| good	7.7 \| good	10.642 \| good	28.022 \| good	0.269 \| good	3.563 \| good	0.119 \| 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?