What are the current PM10 levels at Shipley, West Yorkshire?

The current PM10 levels in Shipley, West Yorkshire are 11.922 μg/m3.

What are the current sulfur dioxide (SO2) levels at Shipley, West Yorkshire?

The current sulfur dioxide (SO2) levels in Shipley, West Yorkshire are 0.643 ppb.

What are the current ozone (O3) levels at Shipley, West Yorkshire?

The current ozone (O3) levels at Shipley, West Yorkshire is 33.308 ppm.

What are the current nitrogen dioxide (NO2) levels at Shipley, West Yorkshire?

The current nitrogen dioxide (NO2) levels at Shipley, West Yorkshire is 18.509 ppb.

Real-time air quality index in Shipley, West Yorkshire today

Q: What are the current PM2.5 levels in Shipley, West Yorkshire?

The measured PM2.5 levels in Shipley, West Yorkshire at present are 4.938 μg/m3.

Stay updated with real-time air quality in Shipley, 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

Shipley, West Yorkshire

Last updated: ... (Local time)

Common air pollutants in Shipley, West Yorkshire

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

4.16 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

7.25 μg/m³

155

255

425

605+

Ozone (O₃)

29.46 ppb

201

201+

Sulfur Dioxide (SO₂)

0.51 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

26.05 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.11 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

Shipley, West Yorkshire

Get Live Pollen Counts

Shipley, West Yorkshire

Scroll To Air Quality Map

Track live Shipley, West Yorkshire air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-11-13T18:00:00.000Z	38 \| good	7.417 \| good	17.036 \| good	27.465 \| good	0.382 \| good	21.817 \| good	0.211 \| good
2025-11-13T19:00:00.000Z	38 \| good	7.171 \| good	17.861 \| good	26.891 \| good	0.382 \| good	22.943 \| good	0.234 \| good
2025-11-13T20:00:00.000Z	33 \| good	6.436 \| good	11.441 \| good	26.75 \| good	0.472 \| good	27.105 \| good	0.37 \| good
2025-11-13T21:00:00.000Z	27 \| good	5.443 \| good	17.257 \| good	26.217 \| good	0.667 \| good	28.701 \| good	0.261 \| good
2025-11-13T22:00:00.000Z	33 \| good	5.831 \| good	13.189 \| good	23.536 \| good	0.414 \| good	23.647 \| good	0.255 \| good
2025-11-13T23:00:00.000Z	33 \| good	6.31 \| good	14.095 \| good	20.858 \| good	0.48 \| good	20.178 \| good	0.113 \| good
2025-11-14T00:00:00.000Z	33 \| good	6.003 \| good	17.119 \| good	23.218 \| good	0.657 \| good	18.089 \| good	0.664 \| good
2025-11-14T01:00:00.000Z	33 \| good	5.971 \| good	14.668 \| good	26.36 \| good	0.505 \| good	16.03 \| good	1.359 \| good
2025-11-14T02:00:00.000Z	33 \| good	6.025 \| good	14.051 \| good	23.325 \| good	0.502 \| good	16.03 \| good	1.361 \| good
2025-11-14T03:00:00.000Z	27 \| good	5.415 \| good	12.853 \| good	28.657 \| good	0.706 \| good	8.795 \| good	1.22 \| good
2025-11-14T04:00:00.000Z	33 \| good	5.914 \| good	13.157 \| good	30.402 \| good	0.504 \| good	3.634 \| good	1.194 \| good
2025-11-14T05:00:00.000Z	29 \| good	5.493 \| good	12.444 \| good	30.995 \| good	0.481 \| good	4.055 \| good	1.106 \| good
2025-11-14T06:00:00.000Z	31 \| good	5.148 \| good	13.987 \| good	32.829 \| good	0.705 \| good	3.182 \| good	0.137 \| good
2025-11-14T07:00:00.000Z	31 \| good	5.333 \| good	13.84 \| good	33.763 \| good	0.655 \| good	5.155 \| good	0.134 \| good
2025-11-14T08:00:00.000Z	30 \| good	4.081 \| good	13.699 \| good	32.296 \| good	0.383 \| good	9.328 \| good	0.126 \| good
2025-11-14T09:00:00.000Z	31 \| good	5.298 \| good	15.526 \| good	33.192 \| good	0.681 \| good	13.765 \| good	0.912 \| good
2025-11-14T10:00:00.000Z	33 \| good	5.811 \| good	13.729 \| good	33.594 \| good	0.504 \| good	16.157 \| good	0.092 \| good
2025-11-14T11:00:00.000Z	32 \| good	5.241 \| good	11.776 \| good	35.222 \| good	0.542 \| good	20.046 \| good	0.072 \| good
2025-11-14T12:00:00.000Z	31 \| good	5.142 \| good	12.392 \| good	33.629 \| good	0.703 \| good	21.48 \| good	0.062 \| good
2025-11-14T13:00:00.000Z	31 \| good	5.093 \| good	11.412 \| good	33.723 \| good	0.513 \| good	20.343 \| good	0.06 \| good
2025-11-14T14:00:00.000Z	31 \| good	5.125 \| good	11.16 \| good	32.859 \| good	0.578 \| good	19.526 \| good	0.065 \| good
2025-11-14T15:00:00.000Z	30 \| good	4.944 \| good	9.213 \| good	31.806 \| good	0.505 \| good	21.572 \| good	0.08 \| good
2025-11-14T16:00:00.000Z	29 \| good	5.007 \| good	10.57 \| good	31.483 \| good	0.483 \| good	24.191 \| good	0.101 \| good
2025-11-14T17:00:00.000Z	31 \| good	4.961 \| good	10.015 \| good	33.121 \| good	0.456 \| good	21.431 \| good	0.178 \| good
2025-11-14T18:00:00.000Z	31 \| good	5 \| good	10.945 \| good	32.974 \| good	0.455 \| good	23.625 \| good	0.204 \| good
2025-11-14T19:00:00.000Z	30 \| good	4.985 \| good	10.296 \| good	32.302 \| good	0.455 \| good	26.633 \| good	0.283 \| good
2025-11-14T20:00:00.000Z	31 \| good	4.938 \| good	11.922 \| good	33.308 \| good	0.643 \| good	18.509 \| good	0.289 \| good
2025-11-14T21:00:00.000Z	30 \| good	4.842 \| good	11.639 \| good	31.68 \| good	0.455 \| good	16.62 \| good	0.294 \| good
2025-11-14T22:00:00.000Z	31 \| good	4.637 \| good	10.2 \| good	34.234 \| good	0.657 \| good	12.065 \| good	0.216 \| good
2025-11-14T23:00:00.000Z	33 \| good	4.069 \| good	7.825 \| good	35.878 \| good	0.463 \| good	7.785 \| good	0.125 \| good
2025-11-15T00:00:00.000Z	33 \| good	3.862 \| good	5.99 \| good	35.588 \| good	0.484 \| good	9.158 \| good	0.932 \| good
2025-11-15T01:00:00.000Z	33 \| good	3.823 \| good	5.689 \| good	35.684 \| good	0.463 \| good	5.569 \| good	1.37 \| good
2025-11-15T02:00:00.000Z	33 \| good	3.635 \| good	6.227 \| good	35.791 \| good	0.463 \| good	5.919 \| good	1.405 \| good
2025-11-15T03:00:00.000Z	33 \| good	3.712 \| good	8.308 \| good	35.839 \| good	0.625 \| good	4.144 \| good	1.342 \| good
2025-11-15T04:00:00.000Z	34 \| good	3.732 \| good	7.889 \| good	36.609 \| good	0.646 \| good	1.984 \| good	1.019 \| good
2025-11-15T05:00:00.000Z	34 \| good	4.057 \| good	6.43 \| good	36.774 \| good	0.457 \| good	2.322 \| good	0.94 \| good
2025-11-15T06:00:00.000Z	33 \| good	3.941 \| good	7.629 \| good	36 \| good	0.457 \| good	3.194 \| good	0.139 \| good
2025-11-15T07:00:00.000Z	34 \| good	3.852 \| good	7.826 \| good	36.9 \| good	0.464 \| good	3.367 \| good	0.137 \| good
2025-11-15T08:00:00.000Z	32 \| good	3.878 \| good	5.903 \| good	35.411 \| good	0.464 \| good	8.269 \| good	0.15 \| good
2025-11-15T09:00:00.000Z	31 \| good	3.744 \| good	5.826 \| good	34.175 \| good	0.464 \| good	11.791 \| good	0.139 \| good
2025-11-15T10:00:00.000Z	31 \| good	3.749 \| good	5.262 \| good	33.526 \| good	0.465 \| good	18.494 \| good	0.119 \| good
2025-11-15T11:00:00.000Z	31 \| good	3.769 \| good	5.3 \| good	33.761 \| good	0.624 \| good	19.08 \| good	0.092 \| good
2025-11-15T12:00:00.000Z	29 \| good	4.393 \| good	7.143 \| good	30.744 \| good	0.467 \| good	18.302 \| good	0.07 \| good
2025-11-15T13:00:00.000Z	31 \| good	4.276 \| good	8.159 \| good	33.124 \| good	0.464 \| good	21.842 \| good	0.056 \| good
2025-11-15T14:00:00.000Z	30 \| good	2.857 \| good	8.95 \| good	31.536 \| good	0.702 \| good	21.844 \| good	0.055 \| good
2025-11-15T15:00:00.000Z	29 \| good	3.711 \| good	8.972 \| good	30.957 \| good	0.507 \| good	22.177 \| good	0.056 \| good
2025-11-15T16:00:00.000Z	27 \| good	4.161 \| good	7.25 \| good	29.461 \| good	0.514 \| good	26.052 \| good	0.112 \| good
2025-11-15T17:00:00.000Z	25 \| good	4.209 \| good	10.231 \| good	26.605 \| good	0.457 \| good	23.348 \| good	0.178 \| good
2025-11-15T17:00:00.000Z	27 \| good	4.161 \| good	7.25 \| good	29.461 \| good	0.514 \| good	26.052 \| good	0.112 \| good
2025-11-14T22:00:00.000Z	34 \| good	1.729 \| good	2.456 \| good	37.295 \| good	0.107 \| good	1.195 \| good	0.122 \| good
2025-11-14T23:00:00.000Z	35 \| good	1.773 \| good	2.452 \| good	38.299 \| good	0.082 \| good	1.116 \| good	0.12 \| good
2025-11-15T00:00:00.000Z	37 \| good	1.702 \| good	2.426 \| good	39.59 \| good	0.075 \| good	0.927 \| good	0.119 \| good
2025-11-15T01:00:00.000Z	37 \| good	1.611 \| good	2.524 \| good	39.695 \| good	0.065 \| good	0.774 \| good	0.118 \| good
2025-11-15T02:00:00.000Z	37 \| good	1.687 \| good	3.15 \| good	40.033 \| good	0.068 \| good	0.654 \| good	0.117 \| good
2025-11-15T03:00:00.000Z	36 \| good	1.809 \| good	3.892 \| good	39.464 \| good	0.075 \| good	0.654 \| good	0.117 \| good
2025-11-15T04:00:00.000Z	36 \| good	1.809 \| good	4.271 \| good	38.773 \| good	0.091 \| good	0.686 \| good	0.117 \| good
2025-11-15T05:00:00.000Z	35 \| good	1.815 \| good	4.422 \| good	37.845 \| good	0.085 \| good	0.734 \| good	0.117 \| good
2025-11-15T06:00:00.000Z	34 \| good	1.729 \| good	4.232 \| good	37.027 \| good	0.084 \| good	0.885 \| good	0.118 \| good
2025-11-15T07:00:00.000Z	33 \| good	1.763 \| good	4.68 \| good	36.284 \| good	0.108 \| good	1.16 \| good	0.117 \| good
2025-11-15T08:00:00.000Z	32 \| good	1.904 \| good	5.215 \| good	35.356 \| good	0.172 \| good	1.684 \| good	0.121 \| good
2025-11-15T09:00:00.000Z	31 \| good	2.259 \| good	5.755 \| good	34.09 \| good	0.183 \| good	1.822 \| good	0.12 \| good
2025-11-15T10:00:00.000Z	31 \| good	2.385 \| good	5.785 \| good	33.951 \| good	0.168 \| good	1.92 \| good	0.12 \| good
2025-11-15T11:00:00.000Z	31 \| good	2.298 \| good	5.802 \| good	33.098 \| good	0.155 \| good	2.109 \| good	0.121 \| good
2025-11-15T12:00:00.000Z	30 \| good	2.46 \| good	6.129 \| good	31.912 \| good	0.144 \| good	2.277 \| good	0.123 \| good
2025-11-15T13:00:00.000Z	30 \| good	2.624 \| good	6.655 \| good	31.747 \| good	0.138 \| good	2.509 \| good	0.124 \| good
2025-11-15T14:00:00.000Z	30 \| good	2.774 \| good	7.146 \| good	31.959 \| good	0.142 \| good	2.799 \| good	0.126 \| good
2025-11-15T15:00:00.000Z	30 \| good	3.159 \| good	7.604 \| good	32.185 \| good	0.144 \| good	3.02 \| good	0.127 \| good
2025-11-15T16:00:00.000Z	30 \| good	3.195 \| good	7.938 \| good	32.275 \| good	0.146 \| good	3.345 \| good	0.128 \| good
2025-11-15T17:00:00.000Z	30 \| good	3.461 \| good	8.388 \| good	32.035 \| good	0.169 \| good	3.501 \| good	0.129 \| good
2025-11-15T18:00:00.000Z	30 \| good	3.87 \| good	9.042 \| good	31.586 \| good	0.217 \| good	3.849 \| good	0.131 \| good
2025-11-15T19:00:00.000Z	29 \| good	3.978 \| good	10.434 \| good	31.417 \| good	0.241 \| good	3.172 \| good	0.131 \| good
2025-11-15T20:00:00.000Z	30 \| good	3.925 \| good	10.934 \| good	32.115 \| good	0.244 \| good	2.905 \| good	0.128 \| good
2025-11-15T21:00:00.000Z	31 \| good	3.703 \| good	10.475 \| good	32.717 \| good	0.246 \| good	3.08 \| good	0.128 \| good
2025-11-15T22:00:00.000Z	30 \| good	3.402 \| good	10.147 \| good	32.101 \| good	0.241 \| good	2.829 \| good	0.128 \| good
2025-11-15T23:00:00.000Z	30 \| good	3.682 \| good	9.809 \| good	31.899 \| good	0.228 \| good	2.591 \| good	0.127 \| good
2025-11-16T00:00:00.000Z	30 \| good	3.611 \| good	9.422 \| good	31.806 \| good	0.194 \| good	2.046 \| good	0.124 \| good
2025-11-16T01:00:00.000Z	30 \| good	3.351 \| good	8.891 \| good	32.036 \| good	0.161 \| good	1.785 \| good	0.123 \| good
2025-11-16T02:00:00.000Z	31 \| good	2.961 \| good	8.128 \| good	32.978 \| good	0.144 \| good	1.482 \| good	0.122 \| good
2025-11-16T03:00:00.000Z	31 \| good	2.622 \| good	7.327 \| good	33.461 \| good	0.144 \| good	1.263 \| good	0.121 \| good
2025-11-16T04:00:00.000Z	31 \| good	2.422 \| good	6.549 \| good	33.968 \| good	0.149 \| good	1.177 \| good	0.121 \| good
2025-11-16T05:00:00.000Z	31 \| good	2.365 \| good	5.929 \| good	34.235 \| good	0.166 \| good	1.122 \| good	0.121 \| good
2025-11-16T06:00:00.000Z	31 \| good	2.284 \| good	5.646 \| good	34.4 \| good	0.193 \| good	1.302 \| good	0.121 \| good
2025-11-16T07:00:00.000Z	31 \| good	2.261 \| good	5.524 \| good	32.776 \| good	0.259 \| good	1.616 \| good	0.123 \| good
2025-11-16T08:00:00.000Z	31 \| good	2.323 \| good	5.634 \| good	32.838 \| good	0.329 \| good	2.385 \| good	0.129 \| good
2025-11-16T09:00:00.000Z	30 \| good	2.502 \| good	5.531 \| good	32.396 \| good	0.369 \| good	3.026 \| good	0.13 \| good
2025-11-16T10:00:00.000Z	31 \| good	2.473 \| good	5.46 \| good	32.816 \| good	0.333 \| good	2.557 \| good	0.13 \| good
2025-11-16T11:00:00.000Z	31 \| good	2.306 \| good	5.325 \| good	33.868 \| good	0.284 \| good	1.875 \| good	0.13 \| good
2025-11-16T12:00:00.000Z	31 \| good	2.223 \| good	5.097 \| good	34.374 \| good	0.242 \| good	1.651 \| good	0.129 \| good
2025-11-16T13:00:00.000Z	31 \| good	2.111 \| good	5.191 \| good	33.598 \| good	0.213 \| good	1.589 \| good	0.13 \| good
2025-11-16T14:00:00.000Z	31 \| good	2.299 \| good	5.246 \| good	33.792 \| good	0.199 \| good	1.921 \| good	0.132 \| good
2025-11-16T15:00:00.000Z	31 \| good	2.529 \| good	5.105 \| good	33.948 \| good	0.19 \| good	2.416 \| good	0.132 \| good
2025-11-16T16:00:00.000Z	31 \| good	2.76 \| good	5.727 \| good	33.109 \| good	0.248 \| good	3.14 \| good	0.135 \| good
2025-11-16T17:00:00.000Z	29 \| good	3.146 \| good	6.766 \| good	31.176 \| good	0.315 \| good	3.993 \| good	0.142 \| good
2025-11-16T18:00:00.000Z	26 \| good	3.98 \| good	7.928 \| good	28.417 \| good	0.35 \| good	4.526 \| good	0.148 \| good
2025-11-16T19:00:00.000Z	26 \| good	4.324 \| good	8.315 \| good	28.179 \| good	0.371 \| good	4.763 \| good	0.149 \| good
2025-11-16T20:00:00.000Z	27 \| good	4.711 \| good	7.439 \| good	28.525 \| good	0.375 \| good	4.636 \| good	0.14 \| good
2025-11-16T21:00:00.000Z	27 \| good	4.69 \| good	6.474 \| good	28.216 \| good	0.346 \| good	4.149 \| good	0.136 \| good

Shipley

Empower business decisions with accurate air quality data

Shipley, West Yorkshire air quality map: Real-time AQI near you

0.29ppm

How accurate is West Yorkshire, UK air quality data?

Air quality measurements for West 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 Shipley, West Yorkshire updated?

Air quality data for Shipley, West Yorkshire is updated on an hourly basis.

When did Shipley, West Yorkshire experience the worst air quality in the last 24 hours?

The worst air quality in Shipley, West Yorkshire was recorded at 10:00:00 on 2025-11-14.

When did Shipley, West Yorkshire have its best air quality in the last 24 hours?

The best air quality in Shipley, West Yorkshire was recorded at 03:00:00 on 2025-11-14.

What is the real-time air quality index for Shipley, West Yorkshire?

The real-time air quality index in Shipley, West Yorkshire is 31, currently categorized as Good.

Which pollutant is found most often in Shipley, West Yorkshire?

The most common pollutant in Shipley, West Yorkshire is O3.

What can I do if the air quality in Shipley, West Yorkshire is poor?

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

What are the current PM_2.5 levels in Shipley, West Yorkshire?

The measured PM_2.5 levels in Shipley, West Yorkshire at present are 4.938 μg/m³.

What are the current PM₁₀ levels at Shipley, West Yorkshire?

The current PM₁₀ levels in Shipley, West Yorkshire are 11.922 μg/m³.

What are the current carbon monoxide (CO) levels at Shipley, West Yorkshire?

The current carbon monoxide (CO) level in Shipley, West Yorkshire is 0.289 ppm.

What are the current sulfur dioxide (SO₂) levels at Shipley, West Yorkshire?

The current sulfur dioxide (SO₂) levels in Shipley, West Yorkshire are 0.643 ppb.

What are the current ozone (O₃) levels at Shipley, West Yorkshire?

The current ozone (O₃) levels at Shipley, West Yorkshire is 33.308 ppm.

What are the current nitrogen dioxide (NO₂) levels at Shipley, West Yorkshire?

The current nitrogen dioxide (NO₂) levels at Shipley, West Yorkshire is 18.509 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-11-13T18:00:00.000Z	38 \| good	7.417 \| good	17.036 \| good	27.465 \| good	0.382 \| good	21.817 \| good	0.211 \| good
2025-11-13T19:00:00.000Z	38 \| good	7.171 \| good	17.861 \| good	26.891 \| good	0.382 \| good	22.943 \| good	0.234 \| good
2025-11-13T20:00:00.000Z	33 \| good	6.436 \| good	11.441 \| good	26.75 \| good	0.472 \| good	27.105 \| good	0.37 \| good
2025-11-13T21:00:00.000Z	27 \| good	5.443 \| good	17.257 \| good	26.217 \| good	0.667 \| good	28.701 \| good	0.261 \| good
2025-11-13T22:00:00.000Z	33 \| good	5.831 \| good	13.189 \| good	23.536 \| good	0.414 \| good	23.647 \| good	0.255 \| good
2025-11-13T23:00:00.000Z	33 \| good	6.31 \| good	14.095 \| good	20.858 \| good	0.48 \| good	20.178 \| good	0.113 \| good
2025-11-14T00:00:00.000Z	33 \| good	6.003 \| good	17.119 \| good	23.218 \| good	0.657 \| good	18.089 \| good	0.664 \| good
2025-11-14T01:00:00.000Z	33 \| good	5.971 \| good	14.668 \| good	26.36 \| good	0.505 \| good	16.03 \| good	1.359 \| good
2025-11-14T02:00:00.000Z	33 \| good	6.025 \| good	14.051 \| good	23.325 \| good	0.502 \| good	16.03 \| good	1.361 \| good
2025-11-14T03:00:00.000Z	27 \| good	5.415 \| good	12.853 \| good	28.657 \| good	0.706 \| good	8.795 \| good	1.22 \| good
2025-11-14T04:00:00.000Z	33 \| good	5.914 \| good	13.157 \| good	30.402 \| good	0.504 \| good	3.634 \| good	1.194 \| good
2025-11-14T05:00:00.000Z	29 \| good	5.493 \| good	12.444 \| good	30.995 \| good	0.481 \| good	4.055 \| good	1.106 \| good
2025-11-14T06:00:00.000Z	31 \| good	5.148 \| good	13.987 \| good	32.829 \| good	0.705 \| good	3.182 \| good	0.137 \| good
2025-11-14T07:00:00.000Z	31 \| good	5.333 \| good	13.84 \| good	33.763 \| good	0.655 \| good	5.155 \| good	0.134 \| good
2025-11-14T08:00:00.000Z	30 \| good	4.081 \| good	13.699 \| good	32.296 \| good	0.383 \| good	9.328 \| good	0.126 \| good
2025-11-14T09:00:00.000Z	31 \| good	5.298 \| good	15.526 \| good	33.192 \| good	0.681 \| good	13.765 \| good	0.912 \| good
2025-11-14T10:00:00.000Z	33 \| good	5.811 \| good	13.729 \| good	33.594 \| good	0.504 \| good	16.157 \| good	0.092 \| good
2025-11-14T11:00:00.000Z	32 \| good	5.241 \| good	11.776 \| good	35.222 \| good	0.542 \| good	20.046 \| good	0.072 \| good
2025-11-14T12:00:00.000Z	31 \| good	5.142 \| good	12.392 \| good	33.629 \| good	0.703 \| good	21.48 \| good	0.062 \| good
2025-11-14T13:00:00.000Z	31 \| good	5.093 \| good	11.412 \| good	33.723 \| good	0.513 \| good	20.343 \| good	0.06 \| good
2025-11-14T14:00:00.000Z	31 \| good	5.125 \| good	11.16 \| good	32.859 \| good	0.578 \| good	19.526 \| good	0.065 \| good
2025-11-14T15:00:00.000Z	30 \| good	4.944 \| good	9.213 \| good	31.806 \| good	0.505 \| good	21.572 \| good	0.08 \| good
2025-11-14T16:00:00.000Z	29 \| good	5.007 \| good	10.57 \| good	31.483 \| good	0.483 \| good	24.191 \| good	0.101 \| good
2025-11-14T17:00:00.000Z	31 \| good	4.961 \| good	10.015 \| good	33.121 \| good	0.456 \| good	21.431 \| good	0.178 \| good
2025-11-14T18:00:00.000Z	31 \| good	5 \| good	10.945 \| good	32.974 \| good	0.455 \| good	23.625 \| good	0.204 \| good
2025-11-14T19:00:00.000Z	30 \| good	4.985 \| good	10.296 \| good	32.302 \| good	0.455 \| good	26.633 \| good	0.283 \| good
2025-11-14T20:00:00.000Z	31 \| good	4.938 \| good	11.922 \| good	33.308 \| good	0.643 \| good	18.509 \| good	0.289 \| good
2025-11-14T21:00:00.000Z	30 \| good	4.842 \| good	11.639 \| good	31.68 \| good	0.455 \| good	16.62 \| good	0.294 \| good
2025-11-14T22:00:00.000Z	31 \| good	4.637 \| good	10.2 \| good	34.234 \| good	0.657 \| good	12.065 \| good	0.216 \| good
2025-11-14T23:00:00.000Z	33 \| good	4.069 \| good	7.825 \| good	35.878 \| good	0.463 \| good	7.785 \| good	0.125 \| good
2025-11-15T00:00:00.000Z	33 \| good	3.862 \| good	5.99 \| good	35.588 \| good	0.484 \| good	9.158 \| good	0.932 \| good
2025-11-15T01:00:00.000Z	33 \| good	3.823 \| good	5.689 \| good	35.684 \| good	0.463 \| good	5.569 \| good	1.37 \| good
2025-11-15T02:00:00.000Z	33 \| good	3.635 \| good	6.227 \| good	35.791 \| good	0.463 \| good	5.919 \| good	1.405 \| good
2025-11-15T03:00:00.000Z	33 \| good	3.712 \| good	8.308 \| good	35.839 \| good	0.625 \| good	4.144 \| good	1.342 \| good
2025-11-15T04:00:00.000Z	34 \| good	3.732 \| good	7.889 \| good	36.609 \| good	0.646 \| good	1.984 \| good	1.019 \| good
2025-11-15T05:00:00.000Z	34 \| good	4.057 \| good	6.43 \| good	36.774 \| good	0.457 \| good	2.322 \| good	0.94 \| good
2025-11-15T06:00:00.000Z	33 \| good	3.941 \| good	7.629 \| good	36 \| good	0.457 \| good	3.194 \| good	0.139 \| good
2025-11-15T07:00:00.000Z	34 \| good	3.852 \| good	7.826 \| good	36.9 \| good	0.464 \| good	3.367 \| good	0.137 \| good
2025-11-15T08:00:00.000Z	32 \| good	3.878 \| good	5.903 \| good	35.411 \| good	0.464 \| good	8.269 \| good	0.15 \| good
2025-11-15T09:00:00.000Z	31 \| good	3.744 \| good	5.826 \| good	34.175 \| good	0.464 \| good	11.791 \| good	0.139 \| good
2025-11-15T10:00:00.000Z	31 \| good	3.749 \| good	5.262 \| good	33.526 \| good	0.465 \| good	18.494 \| good	0.119 \| good
2025-11-15T11:00:00.000Z	31 \| good	3.769 \| good	5.3 \| good	33.761 \| good	0.624 \| good	19.08 \| good	0.092 \| good
2025-11-15T12:00:00.000Z	29 \| good	4.393 \| good	7.143 \| good	30.744 \| good	0.467 \| good	18.302 \| good	0.07 \| good
2025-11-15T13:00:00.000Z	31 \| good	4.276 \| good	8.159 \| good	33.124 \| good	0.464 \| good	21.842 \| good	0.056 \| good
2025-11-15T14:00:00.000Z	30 \| good	2.857 \| good	8.95 \| good	31.536 \| good	0.702 \| good	21.844 \| good	0.055 \| good
2025-11-15T15:00:00.000Z	29 \| good	3.711 \| good	8.972 \| good	30.957 \| good	0.507 \| good	22.177 \| good	0.056 \| good
2025-11-15T16:00:00.000Z	27 \| good	4.161 \| good	7.25 \| good	29.461 \| good	0.514 \| good	26.052 \| good	0.112 \| good
2025-11-15T17:00:00.000Z	25 \| good	4.209 \| good	10.231 \| good	26.605 \| good	0.457 \| good	23.348 \| good	0.178 \| good
2025-11-15T17:00:00.000Z	27 \| good	4.161 \| good	7.25 \| good	29.461 \| good	0.514 \| good	26.052 \| good	0.112 \| good
2025-11-14T22:00:00.000Z	34 \| good	1.729 \| good	2.456 \| good	37.295 \| good	0.107 \| good	1.195 \| good	0.122 \| good
2025-11-14T23:00:00.000Z	35 \| good	1.773 \| good	2.452 \| good	38.299 \| good	0.082 \| good	1.116 \| good	0.12 \| good
2025-11-15T00:00:00.000Z	37 \| good	1.702 \| good	2.426 \| good	39.59 \| good	0.075 \| good	0.927 \| good	0.119 \| good
2025-11-15T01:00:00.000Z	37 \| good	1.611 \| good	2.524 \| good	39.695 \| good	0.065 \| good	0.774 \| good	0.118 \| good
2025-11-15T02:00:00.000Z	37 \| good	1.687 \| good	3.15 \| good	40.033 \| good	0.068 \| good	0.654 \| good	0.117 \| good
2025-11-15T03:00:00.000Z	36 \| good	1.809 \| good	3.892 \| good	39.464 \| good	0.075 \| good	0.654 \| good	0.117 \| good
2025-11-15T04:00:00.000Z	36 \| good	1.809 \| good	4.271 \| good	38.773 \| good	0.091 \| good	0.686 \| good	0.117 \| good
2025-11-15T05:00:00.000Z	35 \| good	1.815 \| good	4.422 \| good	37.845 \| good	0.085 \| good	0.734 \| good	0.117 \| good
2025-11-15T06:00:00.000Z	34 \| good	1.729 \| good	4.232 \| good	37.027 \| good	0.084 \| good	0.885 \| good	0.118 \| good
2025-11-15T07:00:00.000Z	33 \| good	1.763 \| good	4.68 \| good	36.284 \| good	0.108 \| good	1.16 \| good	0.117 \| good
2025-11-15T08:00:00.000Z	32 \| good	1.904 \| good	5.215 \| good	35.356 \| good	0.172 \| good	1.684 \| good	0.121 \| good
2025-11-15T09:00:00.000Z	31 \| good	2.259 \| good	5.755 \| good	34.09 \| good	0.183 \| good	1.822 \| good	0.12 \| good
2025-11-15T10:00:00.000Z	31 \| good	2.385 \| good	5.785 \| good	33.951 \| good	0.168 \| good	1.92 \| good	0.12 \| good
2025-11-15T11:00:00.000Z	31 \| good	2.298 \| good	5.802 \| good	33.098 \| good	0.155 \| good	2.109 \| good	0.121 \| good
2025-11-15T12:00:00.000Z	30 \| good	2.46 \| good	6.129 \| good	31.912 \| good	0.144 \| good	2.277 \| good	0.123 \| good
2025-11-15T13:00:00.000Z	30 \| good	2.624 \| good	6.655 \| good	31.747 \| good	0.138 \| good	2.509 \| good	0.124 \| good
2025-11-15T14:00:00.000Z	30 \| good	2.774 \| good	7.146 \| good	31.959 \| good	0.142 \| good	2.799 \| good	0.126 \| good
2025-11-15T15:00:00.000Z	30 \| good	3.159 \| good	7.604 \| good	32.185 \| good	0.144 \| good	3.02 \| good	0.127 \| good
2025-11-15T16:00:00.000Z	30 \| good	3.195 \| good	7.938 \| good	32.275 \| good	0.146 \| good	3.345 \| good	0.128 \| good
2025-11-15T17:00:00.000Z	30 \| good	3.461 \| good	8.388 \| good	32.035 \| good	0.169 \| good	3.501 \| good	0.129 \| good
2025-11-15T18:00:00.000Z	30 \| good	3.87 \| good	9.042 \| good	31.586 \| good	0.217 \| good	3.849 \| good	0.131 \| good
2025-11-15T19:00:00.000Z	29 \| good	3.978 \| good	10.434 \| good	31.417 \| good	0.241 \| good	3.172 \| good	0.131 \| good
2025-11-15T20:00:00.000Z	30 \| good	3.925 \| good	10.934 \| good	32.115 \| good	0.244 \| good	2.905 \| good	0.128 \| good
2025-11-15T21:00:00.000Z	31 \| good	3.703 \| good	10.475 \| good	32.717 \| good	0.246 \| good	3.08 \| good	0.128 \| good
2025-11-15T22:00:00.000Z	30 \| good	3.402 \| good	10.147 \| good	32.101 \| good	0.241 \| good	2.829 \| good	0.128 \| good
2025-11-15T23:00:00.000Z	30 \| good	3.682 \| good	9.809 \| good	31.899 \| good	0.228 \| good	2.591 \| good	0.127 \| good
2025-11-16T00:00:00.000Z	30 \| good	3.611 \| good	9.422 \| good	31.806 \| good	0.194 \| good	2.046 \| good	0.124 \| good
2025-11-16T01:00:00.000Z	30 \| good	3.351 \| good	8.891 \| good	32.036 \| good	0.161 \| good	1.785 \| good	0.123 \| good
2025-11-16T02:00:00.000Z	31 \| good	2.961 \| good	8.128 \| good	32.978 \| good	0.144 \| good	1.482 \| good	0.122 \| good
2025-11-16T03:00:00.000Z	31 \| good	2.622 \| good	7.327 \| good	33.461 \| good	0.144 \| good	1.263 \| good	0.121 \| good
2025-11-16T04:00:00.000Z	31 \| good	2.422 \| good	6.549 \| good	33.968 \| good	0.149 \| good	1.177 \| good	0.121 \| good
2025-11-16T05:00:00.000Z	31 \| good	2.365 \| good	5.929 \| good	34.235 \| good	0.166 \| good	1.122 \| good	0.121 \| good
2025-11-16T06:00:00.000Z	31 \| good	2.284 \| good	5.646 \| good	34.4 \| good	0.193 \| good	1.302 \| good	0.121 \| good
2025-11-16T07:00:00.000Z	31 \| good	2.261 \| good	5.524 \| good	32.776 \| good	0.259 \| good	1.616 \| good	0.123 \| good
2025-11-16T08:00:00.000Z	31 \| good	2.323 \| good	5.634 \| good	32.838 \| good	0.329 \| good	2.385 \| good	0.129 \| good
2025-11-16T09:00:00.000Z	30 \| good	2.502 \| good	5.531 \| good	32.396 \| good	0.369 \| good	3.026 \| good	0.13 \| good
2025-11-16T10:00:00.000Z	31 \| good	2.473 \| good	5.46 \| good	32.816 \| good	0.333 \| good	2.557 \| good	0.13 \| good
2025-11-16T11:00:00.000Z	31 \| good	2.306 \| good	5.325 \| good	33.868 \| good	0.284 \| good	1.875 \| good	0.13 \| good
2025-11-16T12:00:00.000Z	31 \| good	2.223 \| good	5.097 \| good	34.374 \| good	0.242 \| good	1.651 \| good	0.129 \| good
2025-11-16T13:00:00.000Z	31 \| good	2.111 \| good	5.191 \| good	33.598 \| good	0.213 \| good	1.589 \| good	0.13 \| good
2025-11-16T14:00:00.000Z	31 \| good	2.299 \| good	5.246 \| good	33.792 \| good	0.199 \| good	1.921 \| good	0.132 \| good
2025-11-16T15:00:00.000Z	31 \| good	2.529 \| good	5.105 \| good	33.948 \| good	0.19 \| good	2.416 \| good	0.132 \| good
2025-11-16T16:00:00.000Z	31 \| good	2.76 \| good	5.727 \| good	33.109 \| good	0.248 \| good	3.14 \| good	0.135 \| good
2025-11-16T17:00:00.000Z	29 \| good	3.146 \| good	6.766 \| good	31.176 \| good	0.315 \| good	3.993 \| good	0.142 \| good
2025-11-16T18:00:00.000Z	26 \| good	3.98 \| good	7.928 \| good	28.417 \| good	0.35 \| good	4.526 \| good	0.148 \| good
2025-11-16T19:00:00.000Z	26 \| good	4.324 \| good	8.315 \| good	28.179 \| good	0.371 \| good	4.763 \| good	0.149 \| good
2025-11-16T20:00:00.000Z	27 \| good	4.711 \| good	7.439 \| good	28.525 \| good	0.375 \| good	4.636 \| good	0.14 \| good
2025-11-16T21:00:00.000Z	27 \| good	4.69 \| good	6.474 \| good	28.216 \| good	0.346 \| good	4.149 \| good	0.136 \| good

Real-time air quality index in Shipley, West Yorkshire today

Common air pollutants in Shipley, West Yorkshire

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Shipley, West Yorkshire air quality forecast and history

Empower business decisions with accurate air quality data

Shipley, West Yorkshire air quality map: Real-time AQI near you

Air quality in nearby cities

Baildon, West Yorkshire

Bingley, West Yorkshire

Bradford, West Yorkshire

Guiseley, West Yorkshire

Yeadon, West Yorkshire

Pudsey, West Yorkshire

How accurate is West Yorkshire, UK air quality data?

Air quality levels in UK

Frequently asked questions

How frequently is the air quality data for Shipley, West Yorkshire updated?

When did Shipley, West Yorkshire experience the worst air quality in the last 24 hours?

When did Shipley, West Yorkshire have its best air quality in the last 24 hours?

What is the real-time air quality index for Shipley, West Yorkshire?

Which pollutant is found most often in Shipley, West Yorkshire?

What can I do if the air quality in Shipley, West Yorkshire is poor?

What are the current PM2.5 levels in Shipley, West Yorkshire?

What are the current PM10 levels at Shipley, West Yorkshire?

What are the current carbon monoxide (CO) levels at Shipley, West Yorkshire?

What are the current sulfur dioxide (SO2) levels at Shipley, West Yorkshire?

What are the current ozone (O3) levels at Shipley, West Yorkshire?

What are the current nitrogen dioxide (NO2) levels at Shipley, West 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 Shipley, West Yorkshire?

What are the current PM₁₀ levels at Shipley, West Yorkshire?

What are the current sulfur dioxide (SO₂) levels at Shipley, West Yorkshire?

What are the current ozone (O₃) levels at Shipley, West Yorkshire?

What are the current nitrogen dioxide (NO₂) levels at Shipley, West Yorkshire?