What are the current PM10 levels at South Elmsall, West Yorkshire?

The current PM10 levels in South Elmsall, West Yorkshire are 13.739 μg/m3.

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

The current sulfur dioxide (SO2) levels in South Elmsall, West Yorkshire are 0.63 ppb.

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

The current ozone (O3) levels at South Elmsall, West Yorkshire is 27.573 ppm.

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

The current nitrogen dioxide (NO2) levels at South Elmsall, West Yorkshire is 6.47 ppb.

Real-time air quality index in South Elmsall, West Yorkshire today

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

The measured PM2.5 levels in South Elmsall, West Yorkshire at present are 3.822 μg/m3.

Stay updated with real-time air quality in South Elmsall, 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

South Elmsall, West Yorkshire

Last updated: ... (Local time)

Common air pollutants in South Elmsall, West Yorkshire

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

3.82 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

13.74 μg/m³

155

255

425

605+

Ozone (O₃)

27.57 ppb

201

201+

Sulfur Dioxide (SO₂)

0.63 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

6.47 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.11 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

South Elmsall, West Yorkshire

Get Live Pollen Counts

South Elmsall, West Yorkshire

Scroll To Air Quality Map

Track live South Elmsall, West Yorkshire air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-05-12T13:00:00.000Z	33 \| good	5.834 \| good	17.499 \| good	29.059 \| good	0.567 \| good	5.721 \| good	0.12 \| good
2026-05-12T14:00:00.000Z	33 \| good	5.767 \| good	14.701 \| good	34.606 \| good	0.568 \| good	5.111 \| good	0.111 \| good
2026-05-12T15:00:00.000Z	30 \| good	5.345 \| good	16.514 \| good	32.484 \| good	0.635 \| good	5.295 \| good	0.113 \| good
2026-05-12T16:00:00.000Z	33 \| good	5.865 \| good	12.687 \| good	33.944 \| good	0.562 \| good	4.636 \| good	0.117 \| good
2026-05-12T17:00:00.000Z	33 \| good	5.544 \| good	14.287 \| good	36.281 \| good	0.561 \| good	4.487 \| good	0.662 \| good
2026-05-12T18:00:00.000Z	35 \| good	5.629 \| good	13.471 \| good	37.752 \| good	0.521 \| good	5.118 \| good	0.662 \| good
2026-05-12T19:00:00.000Z	33 \| good	5.677 \| good	16.115 \| good	36.075 \| good	0.561 \| good	5.238 \| good	0.163 \| good
2026-05-12T20:00:00.000Z	35 \| good	5.692 \| good	16.112 \| good	38.155 \| good	0.487 \| good	6.186 \| good	0.155 \| good
2026-05-12T21:00:00.000Z	33 \| good	5.803 \| good	18.063 \| good	35.956 \| good	0.417 \| good	6.216 \| good	0.153 \| good
2026-05-12T22:00:00.000Z	33 \| good	5.958 \| good	18.409 \| good	34.285 \| good	0.418 \| good	6.83 \| good	0.153 \| good
2026-05-12T23:00:00.000Z	33 \| good	5.502 \| good	15.532 \| good	35.175 \| good	0.524 \| good	5.811 \| good	0.662 \| good
2026-05-13T00:00:00.000Z	33 \| good	5.883 \| good	19.223 \| good	33.573 \| good	0.765 \| good	4.85 \| good	0.132 \| good
2026-05-13T01:00:00.000Z	33 \| good	5.98 \| good	17.96 \| good	30.324 \| good	0.728 \| good	5.502 \| good	0.662 \| good
2026-05-13T02:00:00.000Z	33 \| good	5.843 \| good	16.736 \| good	31.131 \| good	0.805 \| good	3.984 \| good	0.662 \| good
2026-05-13T03:00:00.000Z	33 \| good	5.663 \| good	12.253 \| good	28.741 \| good	0.763 \| good	2.933 \| good	0.662 \| good
2026-05-13T04:00:00.000Z	33 \| good	5.893 \| good	12.947 \| good	29.232 \| good	0.766 \| good	2.304 \| good	0.662 \| good
2026-05-13T05:00:00.000Z	30 \| good	5.091 \| good	15.566 \| good	31.937 \| good	0.603 \| good	2.441 \| good	0.662 \| good
2026-05-13T06:00:00.000Z	31 \| good	5.473 \| good	16.727 \| good	32.555 \| good	0.594 \| good	4.945 \| good	0.662 \| good
2026-05-13T07:00:00.000Z	33 \| good	5.558 \| good	16.024 \| good	28.521 \| good	0.64 \| good	5.684 \| good	0.144 \| good
2026-05-13T08:00:00.000Z	28 \| good	5.4 \| good	18.075 \| good	30.046 \| good	0.644 \| good	2.464 \| good	0.662 \| good
2026-05-13T09:00:00.000Z	27 \| good	5.343 \| good	16.038 \| good	28.955 \| good	0.599 \| good	5.433 \| good	0.662 \| good
2026-05-13T10:00:00.000Z	29 \| good	5.232 \| good	12.048 \| good	30.571 \| good	0.599 \| good	7.762 \| good	0.125 \| good
2026-05-13T11:00:00.000Z	28 \| good	5.238 \| good	16.678 \| good	29.905 \| good	0.648 \| good	6.349 \| good	0.122 \| good
2026-05-13T12:00:00.000Z	27 \| good	4.864 \| good	15.583 \| good	26.256 \| good	0.648 \| good	4.026 \| good	0.115 \| good
2026-05-13T13:00:00.000Z	27 \| good	5.359 \| good	16.056 \| good	26.463 \| good	1.141 \| good	5.5 \| good	0.117 \| good
2026-05-13T14:00:00.000Z	29 \| good	4.831 \| good	15.474 \| good	30.673 \| good	0.843 \| good	5.335 \| good	0.118 \| good
2026-05-13T15:00:00.000Z	30 \| good	4.835 \| good	13.68 \| good	31.546 \| good	0.846 \| good	3.995 \| good	0.113 \| good
2026-05-13T16:00:00.000Z	30 \| good	4.806 \| good	13.396 \| good	32.49 \| good	0.763 \| good	5.043 \| good	0.117 \| good
2026-05-13T17:00:00.000Z	30 \| good	4.794 \| good	12.417 \| good	32.077 \| good	0.659 \| good	7.794 \| good	0.122 \| good
2026-05-13T18:00:00.000Z	33 \| good	4.465 \| good	13.227 \| good	35.864 \| good	0.766 \| good	8.009 \| good	0.139 \| good
2026-05-13T19:00:00.000Z	31 \| good	4.166 \| good	13.978 \| good	34.21 \| good	0.623 \| good	6.918 \| good	0.197 \| good
2026-05-13T20:00:00.000Z	28 \| good	4.463 \| good	11.596 \| good	30.065 \| good	0.63 \| good	5.021 \| good	0.211 \| good
2026-05-13T21:00:00.000Z	28 \| good	4.03 \| good	14.694 \| good	29.988 \| good	0.634 \| good	5.342 \| good	0.2 \| good
2026-05-13T22:00:00.000Z	30 \| good	3.947 \| good	11.923 \| good	32.316 \| good	0.62 \| good	6.222 \| good	0.216 \| good
2026-05-13T23:00:00.000Z	27 \| good	3.619 \| good	14.155 \| good	28.693 \| good	0.616 \| good	9.6 \| good	0.224 \| good
2026-05-14T00:00:00.000Z	22 \| good	3.717 \| good	14.783 \| good	24.152 \| good	0.622 \| good	6.913 \| good	0.205 \| good
2026-05-14T01:00:00.000Z	24 \| good	3.571 \| good	15.333 \| good	26.248 \| good	0.618 \| good	5.281 \| good	0.167 \| good
2026-05-14T02:00:00.000Z	25 \| good	3.603 \| good	5.587 \| good	26.567 \| good	0.623 \| good	3.647 \| good	0.167 \| good
2026-05-14T03:00:00.000Z	22 \| good	2.869 \| good	6.87 \| good	24.146 \| good	0.589 \| good	3.106 \| good	0.15 \| good
2026-05-14T04:00:00.000Z	22 \| good	2.948 \| good	8.133 \| good	24.393 \| good	0.553 \| good	1.758 \| good	0.158 \| good
2026-05-14T05:00:00.000Z	25 \| good	3.441 \| good	8.427 \| good	27.036 \| good	0.589 \| good	1.548 \| good	0.172 \| good
2026-05-14T06:00:00.000Z	22 \| good	3.225 \| good	7.045 \| good	23.608 \| good	0.621 \| good	3.184 \| good	0.208 \| good
2026-05-14T07:00:00.000Z	23 \| good	2.383 \| good	10.362 \| good	24.535 \| good	0.763 \| good	5.081 \| good	0.177 \| good
2026-05-14T08:00:00.000Z	24 \| good	2.767 \| good	9.965 \| good	25.627 \| good	0.763 \| good	4.008 \| good	0.157 \| good
2026-05-14T09:00:00.000Z	25 \| good	2.993 \| good	11.621 \| good	27.491 \| good	0.648 \| good	4.674 \| good	0.13 \| good
2026-05-14T10:00:00.000Z	26 \| good	3.659 \| good	8.062 \| good	27.785 \| good	0.764 \| good	5.555 \| good	0.118 \| good
2026-05-14T11:00:00.000Z	26 \| good	3.599 \| good	13.556 \| good	27.914 \| good	0.649 \| good	5.976 \| good	0.118 \| good
2026-05-14T12:00:00.000Z	26 \| good	3.598 \| good	9.18 \| good	28.238 \| good	0.649 \| good	8.169 \| good	0.108 \| good
2026-05-14T12:00:00.000Z	26 \| good	3.822 \| good	13.739 \| good	27.573 \| good	0.63 \| good	6.47 \| good	0.108 \| good
2026-05-14T13:00:00.000Z	39 \| good	2.342 \| good	4.607 \| good	41.618 \| good	0.134 \| good	1.219 \| good	0.112 \| good
2026-05-14T14:00:00.000Z	37 \| good	2.326 \| good	4.099 \| good	39.815 \| good	0.132 \| good	1.426 \| good	0.113 \| good
2026-05-14T15:00:00.000Z	35 \| good	2.174 \| good	3.922 \| good	38.314 \| good	0.148 \| good	1.613 \| good	0.114 \| good
2026-05-14T16:00:00.000Z	36 \| good	2.218 \| good	3.78 \| good	39.014 \| good	0.149 \| good	1.709 \| good	0.115 \| good
2026-05-14T17:00:00.000Z	36 \| good	2.443 \| good	3.736 \| good	39.482 \| good	0.166 \| good	1.955 \| good	0.117 \| good
2026-05-14T18:00:00.000Z	36 \| good	2.748 \| good	4.103 \| good	38.789 \| good	0.182 \| good	2.302 \| good	0.12 \| good
2026-05-14T19:00:00.000Z	34 \| good	3.379 \| good	6.741 \| good	36.648 \| good	0.266 \| good	2.86 \| good	0.121 \| good
2026-05-14T20:00:00.000Z	30 \| good	4.431 \| good	9.124 \| good	32.471 \| good	0.38 \| good	3.264 \| good	0.12 \| good
2026-05-14T21:00:00.000Z	29 \| good	5.242 \| good	11.307 \| good	30.699 \| good	0.426 \| good	3.536 \| good	0.122 \| good
2026-05-14T22:00:00.000Z	33 \| good	5.861 \| good	11.293 \| good	29.468 \| good	0.397 \| good	3.893 \| good	0.125 \| good
2026-05-14T23:00:00.000Z	27 \| good	5.2 \| good	10.915 \| good	28.438 \| good	0.369 \| good	4.103 \| good	0.122 \| good
2026-05-15T00:00:00.000Z	27 \| good	5.192 \| good	11.28 \| good	27.836 \| good	0.348 \| good	4.424 \| good	0.12 \| good
2026-05-15T01:00:00.000Z	27 \| good	4.517 \| good	8.79 \| good	28.383 \| good	0.315 \| good	3.68 \| good	0.117 \| good
2026-05-15T02:00:00.000Z	26 \| good	3.324 \| good	6.619 \| good	28.481 \| good	0.256 \| good	2.839 \| good	0.115 \| good
2026-05-15T03:00:00.000Z	27 \| good	2.641 \| good	5.542 \| good	28.555 \| good	0.24 \| good	2.381 \| good	0.114 \| good
2026-05-15T04:00:00.000Z	26 \| good	2.411 \| good	5.235 \| good	27.565 \| good	0.242 \| good	2.375 \| good	0.114 \| good
2026-05-15T05:00:00.000Z	28 \| good	2.413 \| good	5.278 \| good	29.637 \| good	0.247 \| good	2.024 \| good	0.113 \| good
2026-05-15T06:00:00.000Z	30 \| good	2.375 \| good	5.643 \| good	31.979 \| good	0.233 \| good	2.688 \| good	0.115 \| good
2026-05-15T07:00:00.000Z	32 \| good	2.317 \| good	5.354 \| good	35.109 \| good	0.208 \| good	2.412 \| good	0.118 \| good
2026-05-15T08:00:00.000Z	35 \| good	2.237 \| good	5.245 \| good	37.646 \| good	0.18 \| good	1.706 \| good	0.115 \| good
2026-05-15T09:00:00.000Z	37 \| good	2.236 \| good	5.299 \| good	40.199 \| good	0.161 \| good	1.303 \| good	0.113 \| good
2026-05-15T10:00:00.000Z	40 \| good	2.23 \| good	5.612 \| good	43.015 \| good	0.15 \| good	1.095 \| good	0.112 \| good
2026-05-15T11:00:00.000Z	41 \| good	2.281 \| good	5.863 \| good	44.299 \| good	0.146 \| good	1.038 \| good	0.111 \| good
2026-05-15T12:00:00.000Z	42 \| good	2.354 \| good	5.902 \| good	44.537 \| good	0.141 \| good	0.997 \| good	0.111 \| good
2026-05-15T13:00:00.000Z	42 \| good	2.423 \| good	5.815 \| good	44.611 \| good	0.138 \| good	1.039 \| good	0.111 \| good
2026-05-15T14:00:00.000Z	41 \| good	2.51 \| good	5.801 \| good	44.189 \| good	0.14 \| good	1.029 \| good	0.111 \| good
2026-05-15T15:00:00.000Z	41 \| good	2.624 \| good	5.823 \| good	43.798 \| good	0.145 \| good	1.153 \| good	0.111 \| good
2026-05-15T16:00:00.000Z	41 \| good	2.793 \| good	5.82 \| good	43.889 \| good	0.149 \| good	1.449 \| good	0.113 \| good
2026-05-15T17:00:00.000Z	40 \| good	3.302 \| good	6.402 \| good	42.981 \| good	0.179 \| good	1.858 \| good	0.116 \| good
2026-05-15T18:00:00.000Z	38 \| good	3.753 \| good	7.432 \| good	41.093 \| good	0.238 \| good	2.55 \| good	0.12 \| good
2026-05-15T19:00:00.000Z	35 \| good	4.423 \| good	8.5 \| good	38.389 \| good	0.327 \| good	3.326 \| good	0.122 \| good
2026-05-15T20:00:00.000Z	33 \| good	5.217 \| good	9.869 \| good	35.914 \| good	0.45 \| good	5.097 \| good	0.124 \| good
2026-05-15T21:00:00.000Z	31 \| good	5.44 \| good	9.887 \| good	33.456 \| good	0.59 \| good	6.857 \| good	0.129 \| good
2026-05-15T22:00:00.000Z	33 \| good	5.594 \| good	9.647 \| good	28.4 \| good	0.703 \| good	7.782 \| good	0.131 \| good
2026-05-15T23:00:00.000Z	38 \| good	6.525 \| good	9.476 \| good	25.369 \| good	0.712 \| good	9.346 \| good	0.136 \| good
2026-05-16T00:00:00.000Z	44 \| good	7.859 \| good	10.234 \| good	24.081 \| good	0.665 \| good	10.133 \| good	0.139 \| good
2026-05-16T01:00:00.000Z	44 \| good	8.167 \| good	10.534 \| good	19.818 \| good	0.577 \| good	9.583 \| good	0.138 \| good
2026-05-16T02:00:00.000Z	44 \| good	7.602 \| good	9.812 \| good	20.313 \| good	0.473 \| good	7.963 \| good	0.132 \| good
2026-05-16T03:00:00.000Z	38 \| good	7.363 \| good	9.573 \| good	21.1 \| good	0.41 \| good	7.55 \| good	0.128 \| good
2026-05-16T04:00:00.000Z	44 \| good	7.874 \| good	10.493 \| good	21.081 \| good	0.419 \| good	7.544 \| good	0.128 \| good
2026-05-16T05:00:00.000Z	38 \| good	7.357 \| good	10.784 \| good	21.865 \| good	0.462 \| good	6.604 \| good	0.128 \| good
2026-05-16T06:00:00.000Z	33 \| good	5.659 \| good	8.621 \| good	24.179 \| good	0.479 \| good	6.006 \| good	0.127 \| good
2026-05-16T07:00:00.000Z	29 \| good	4.059 \| good	6.95 \| good	30.598 \| good	0.377 \| good	3.785 \| good	0.127 \| good
2026-05-16T08:00:00.000Z	32 \| good	2.884 \| good	5.442 \| good	34.953 \| good	0.307 \| good	2.883 \| good	0.125 \| good
2026-05-16T09:00:00.000Z	35 \| good	2.712 \| good	5.393 \| good	37.762 \| good	0.238 \| good	1.986 \| good	0.12 \| good
2026-05-16T10:00:00.000Z	37 \| good	2.844 \| good	5.175 \| good	39.609 \| good	0.19 \| good	1.588 \| good	0.119 \| good
2026-05-16T11:00:00.000Z	39 \| good	2.857 \| good	4.832 \| good	41.677 \| good	0.176 \| good	1.373 \| good	0.117 \| good
2026-05-16T12:00:00.000Z	40 \| good	2.896 \| good	5.036 \| good	42.914 \| good	0.168 \| good	1.42 \| good	0.116 \| good

South Elmsall

Empower business decisions with accurate air quality data

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

0.12ppm

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 South Elmsall, West Yorkshire updated?

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

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

The worst air quality in South Elmsall, West Yorkshire was recorded at 06:00:00 on 2026-05-13.

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

The best air quality in South Elmsall, West Yorkshire was recorded at 06:00:00 on 2026-05-14.

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

The real-time air quality index in South Elmsall, West Yorkshire is 26, currently categorized as Good.

Which pollutant is found most often in South Elmsall, West Yorkshire?

The most common pollutant in South Elmsall, West Yorkshire is O3.

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

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

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

The measured PM_2.5 levels in South Elmsall, West Yorkshire at present are 3.822 μg/m³.

What are the current PM₁₀ levels at South Elmsall, West Yorkshire?

The current PM₁₀ levels in South Elmsall, West Yorkshire are 13.739 μg/m³.

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

The current carbon monoxide (CO) level in South Elmsall, West Yorkshire is 0.108 ppm.

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

The current sulfur dioxide (SO₂) levels in South Elmsall, West Yorkshire are 0.63 ppb.

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

The current ozone (O₃) levels at South Elmsall, West Yorkshire is 27.573 ppm.

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

The current nitrogen dioxide (NO₂) levels at South Elmsall, West Yorkshire is 6.47 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-05-12T13:00:00.000Z	33 \| good	5.834 \| good	17.499 \| good	29.059 \| good	0.567 \| good	5.721 \| good	0.12 \| good
2026-05-12T14:00:00.000Z	33 \| good	5.767 \| good	14.701 \| good	34.606 \| good	0.568 \| good	5.111 \| good	0.111 \| good
2026-05-12T15:00:00.000Z	30 \| good	5.345 \| good	16.514 \| good	32.484 \| good	0.635 \| good	5.295 \| good	0.113 \| good
2026-05-12T16:00:00.000Z	33 \| good	5.865 \| good	12.687 \| good	33.944 \| good	0.562 \| good	4.636 \| good	0.117 \| good
2026-05-12T17:00:00.000Z	33 \| good	5.544 \| good	14.287 \| good	36.281 \| good	0.561 \| good	4.487 \| good	0.662 \| good
2026-05-12T18:00:00.000Z	35 \| good	5.629 \| good	13.471 \| good	37.752 \| good	0.521 \| good	5.118 \| good	0.662 \| good
2026-05-12T19:00:00.000Z	33 \| good	5.677 \| good	16.115 \| good	36.075 \| good	0.561 \| good	5.238 \| good	0.163 \| good
2026-05-12T20:00:00.000Z	35 \| good	5.692 \| good	16.112 \| good	38.155 \| good	0.487 \| good	6.186 \| good	0.155 \| good
2026-05-12T21:00:00.000Z	33 \| good	5.803 \| good	18.063 \| good	35.956 \| good	0.417 \| good	6.216 \| good	0.153 \| good
2026-05-12T22:00:00.000Z	33 \| good	5.958 \| good	18.409 \| good	34.285 \| good	0.418 \| good	6.83 \| good	0.153 \| good
2026-05-12T23:00:00.000Z	33 \| good	5.502 \| good	15.532 \| good	35.175 \| good	0.524 \| good	5.811 \| good	0.662 \| good
2026-05-13T00:00:00.000Z	33 \| good	5.883 \| good	19.223 \| good	33.573 \| good	0.765 \| good	4.85 \| good	0.132 \| good
2026-05-13T01:00:00.000Z	33 \| good	5.98 \| good	17.96 \| good	30.324 \| good	0.728 \| good	5.502 \| good	0.662 \| good
2026-05-13T02:00:00.000Z	33 \| good	5.843 \| good	16.736 \| good	31.131 \| good	0.805 \| good	3.984 \| good	0.662 \| good
2026-05-13T03:00:00.000Z	33 \| good	5.663 \| good	12.253 \| good	28.741 \| good	0.763 \| good	2.933 \| good	0.662 \| good
2026-05-13T04:00:00.000Z	33 \| good	5.893 \| good	12.947 \| good	29.232 \| good	0.766 \| good	2.304 \| good	0.662 \| good
2026-05-13T05:00:00.000Z	30 \| good	5.091 \| good	15.566 \| good	31.937 \| good	0.603 \| good	2.441 \| good	0.662 \| good
2026-05-13T06:00:00.000Z	31 \| good	5.473 \| good	16.727 \| good	32.555 \| good	0.594 \| good	4.945 \| good	0.662 \| good
2026-05-13T07:00:00.000Z	33 \| good	5.558 \| good	16.024 \| good	28.521 \| good	0.64 \| good	5.684 \| good	0.144 \| good
2026-05-13T08:00:00.000Z	28 \| good	5.4 \| good	18.075 \| good	30.046 \| good	0.644 \| good	2.464 \| good	0.662 \| good
2026-05-13T09:00:00.000Z	27 \| good	5.343 \| good	16.038 \| good	28.955 \| good	0.599 \| good	5.433 \| good	0.662 \| good
2026-05-13T10:00:00.000Z	29 \| good	5.232 \| good	12.048 \| good	30.571 \| good	0.599 \| good	7.762 \| good	0.125 \| good
2026-05-13T11:00:00.000Z	28 \| good	5.238 \| good	16.678 \| good	29.905 \| good	0.648 \| good	6.349 \| good	0.122 \| good
2026-05-13T12:00:00.000Z	27 \| good	4.864 \| good	15.583 \| good	26.256 \| good	0.648 \| good	4.026 \| good	0.115 \| good
2026-05-13T13:00:00.000Z	27 \| good	5.359 \| good	16.056 \| good	26.463 \| good	1.141 \| good	5.5 \| good	0.117 \| good
2026-05-13T14:00:00.000Z	29 \| good	4.831 \| good	15.474 \| good	30.673 \| good	0.843 \| good	5.335 \| good	0.118 \| good
2026-05-13T15:00:00.000Z	30 \| good	4.835 \| good	13.68 \| good	31.546 \| good	0.846 \| good	3.995 \| good	0.113 \| good
2026-05-13T16:00:00.000Z	30 \| good	4.806 \| good	13.396 \| good	32.49 \| good	0.763 \| good	5.043 \| good	0.117 \| good
2026-05-13T17:00:00.000Z	30 \| good	4.794 \| good	12.417 \| good	32.077 \| good	0.659 \| good	7.794 \| good	0.122 \| good
2026-05-13T18:00:00.000Z	33 \| good	4.465 \| good	13.227 \| good	35.864 \| good	0.766 \| good	8.009 \| good	0.139 \| good
2026-05-13T19:00:00.000Z	31 \| good	4.166 \| good	13.978 \| good	34.21 \| good	0.623 \| good	6.918 \| good	0.197 \| good
2026-05-13T20:00:00.000Z	28 \| good	4.463 \| good	11.596 \| good	30.065 \| good	0.63 \| good	5.021 \| good	0.211 \| good
2026-05-13T21:00:00.000Z	28 \| good	4.03 \| good	14.694 \| good	29.988 \| good	0.634 \| good	5.342 \| good	0.2 \| good
2026-05-13T22:00:00.000Z	30 \| good	3.947 \| good	11.923 \| good	32.316 \| good	0.62 \| good	6.222 \| good	0.216 \| good
2026-05-13T23:00:00.000Z	27 \| good	3.619 \| good	14.155 \| good	28.693 \| good	0.616 \| good	9.6 \| good	0.224 \| good
2026-05-14T00:00:00.000Z	22 \| good	3.717 \| good	14.783 \| good	24.152 \| good	0.622 \| good	6.913 \| good	0.205 \| good
2026-05-14T01:00:00.000Z	24 \| good	3.571 \| good	15.333 \| good	26.248 \| good	0.618 \| good	5.281 \| good	0.167 \| good
2026-05-14T02:00:00.000Z	25 \| good	3.603 \| good	5.587 \| good	26.567 \| good	0.623 \| good	3.647 \| good	0.167 \| good
2026-05-14T03:00:00.000Z	22 \| good	2.869 \| good	6.87 \| good	24.146 \| good	0.589 \| good	3.106 \| good	0.15 \| good
2026-05-14T04:00:00.000Z	22 \| good	2.948 \| good	8.133 \| good	24.393 \| good	0.553 \| good	1.758 \| good	0.158 \| good
2026-05-14T05:00:00.000Z	25 \| good	3.441 \| good	8.427 \| good	27.036 \| good	0.589 \| good	1.548 \| good	0.172 \| good
2026-05-14T06:00:00.000Z	22 \| good	3.225 \| good	7.045 \| good	23.608 \| good	0.621 \| good	3.184 \| good	0.208 \| good
2026-05-14T07:00:00.000Z	23 \| good	2.383 \| good	10.362 \| good	24.535 \| good	0.763 \| good	5.081 \| good	0.177 \| good
2026-05-14T08:00:00.000Z	24 \| good	2.767 \| good	9.965 \| good	25.627 \| good	0.763 \| good	4.008 \| good	0.157 \| good
2026-05-14T09:00:00.000Z	25 \| good	2.993 \| good	11.621 \| good	27.491 \| good	0.648 \| good	4.674 \| good	0.13 \| good
2026-05-14T10:00:00.000Z	26 \| good	3.659 \| good	8.062 \| good	27.785 \| good	0.764 \| good	5.555 \| good	0.118 \| good
2026-05-14T11:00:00.000Z	26 \| good	3.599 \| good	13.556 \| good	27.914 \| good	0.649 \| good	5.976 \| good	0.118 \| good
2026-05-14T12:00:00.000Z	26 \| good	3.598 \| good	9.18 \| good	28.238 \| good	0.649 \| good	8.169 \| good	0.108 \| good
2026-05-14T12:00:00.000Z	26 \| good	3.822 \| good	13.739 \| good	27.573 \| good	0.63 \| good	6.47 \| good	0.108 \| good
2026-05-14T13:00:00.000Z	39 \| good	2.342 \| good	4.607 \| good	41.618 \| good	0.134 \| good	1.219 \| good	0.112 \| good
2026-05-14T14:00:00.000Z	37 \| good	2.326 \| good	4.099 \| good	39.815 \| good	0.132 \| good	1.426 \| good	0.113 \| good
2026-05-14T15:00:00.000Z	35 \| good	2.174 \| good	3.922 \| good	38.314 \| good	0.148 \| good	1.613 \| good	0.114 \| good
2026-05-14T16:00:00.000Z	36 \| good	2.218 \| good	3.78 \| good	39.014 \| good	0.149 \| good	1.709 \| good	0.115 \| good
2026-05-14T17:00:00.000Z	36 \| good	2.443 \| good	3.736 \| good	39.482 \| good	0.166 \| good	1.955 \| good	0.117 \| good
2026-05-14T18:00:00.000Z	36 \| good	2.748 \| good	4.103 \| good	38.789 \| good	0.182 \| good	2.302 \| good	0.12 \| good
2026-05-14T19:00:00.000Z	34 \| good	3.379 \| good	6.741 \| good	36.648 \| good	0.266 \| good	2.86 \| good	0.121 \| good
2026-05-14T20:00:00.000Z	30 \| good	4.431 \| good	9.124 \| good	32.471 \| good	0.38 \| good	3.264 \| good	0.12 \| good
2026-05-14T21:00:00.000Z	29 \| good	5.242 \| good	11.307 \| good	30.699 \| good	0.426 \| good	3.536 \| good	0.122 \| good
2026-05-14T22:00:00.000Z	33 \| good	5.861 \| good	11.293 \| good	29.468 \| good	0.397 \| good	3.893 \| good	0.125 \| good
2026-05-14T23:00:00.000Z	27 \| good	5.2 \| good	10.915 \| good	28.438 \| good	0.369 \| good	4.103 \| good	0.122 \| good
2026-05-15T00:00:00.000Z	27 \| good	5.192 \| good	11.28 \| good	27.836 \| good	0.348 \| good	4.424 \| good	0.12 \| good
2026-05-15T01:00:00.000Z	27 \| good	4.517 \| good	8.79 \| good	28.383 \| good	0.315 \| good	3.68 \| good	0.117 \| good
2026-05-15T02:00:00.000Z	26 \| good	3.324 \| good	6.619 \| good	28.481 \| good	0.256 \| good	2.839 \| good	0.115 \| good
2026-05-15T03:00:00.000Z	27 \| good	2.641 \| good	5.542 \| good	28.555 \| good	0.24 \| good	2.381 \| good	0.114 \| good
2026-05-15T04:00:00.000Z	26 \| good	2.411 \| good	5.235 \| good	27.565 \| good	0.242 \| good	2.375 \| good	0.114 \| good
2026-05-15T05:00:00.000Z	28 \| good	2.413 \| good	5.278 \| good	29.637 \| good	0.247 \| good	2.024 \| good	0.113 \| good
2026-05-15T06:00:00.000Z	30 \| good	2.375 \| good	5.643 \| good	31.979 \| good	0.233 \| good	2.688 \| good	0.115 \| good
2026-05-15T07:00:00.000Z	32 \| good	2.317 \| good	5.354 \| good	35.109 \| good	0.208 \| good	2.412 \| good	0.118 \| good
2026-05-15T08:00:00.000Z	35 \| good	2.237 \| good	5.245 \| good	37.646 \| good	0.18 \| good	1.706 \| good	0.115 \| good
2026-05-15T09:00:00.000Z	37 \| good	2.236 \| good	5.299 \| good	40.199 \| good	0.161 \| good	1.303 \| good	0.113 \| good
2026-05-15T10:00:00.000Z	40 \| good	2.23 \| good	5.612 \| good	43.015 \| good	0.15 \| good	1.095 \| good	0.112 \| good
2026-05-15T11:00:00.000Z	41 \| good	2.281 \| good	5.863 \| good	44.299 \| good	0.146 \| good	1.038 \| good	0.111 \| good
2026-05-15T12:00:00.000Z	42 \| good	2.354 \| good	5.902 \| good	44.537 \| good	0.141 \| good	0.997 \| good	0.111 \| good
2026-05-15T13:00:00.000Z	42 \| good	2.423 \| good	5.815 \| good	44.611 \| good	0.138 \| good	1.039 \| good	0.111 \| good
2026-05-15T14:00:00.000Z	41 \| good	2.51 \| good	5.801 \| good	44.189 \| good	0.14 \| good	1.029 \| good	0.111 \| good
2026-05-15T15:00:00.000Z	41 \| good	2.624 \| good	5.823 \| good	43.798 \| good	0.145 \| good	1.153 \| good	0.111 \| good
2026-05-15T16:00:00.000Z	41 \| good	2.793 \| good	5.82 \| good	43.889 \| good	0.149 \| good	1.449 \| good	0.113 \| good
2026-05-15T17:00:00.000Z	40 \| good	3.302 \| good	6.402 \| good	42.981 \| good	0.179 \| good	1.858 \| good	0.116 \| good
2026-05-15T18:00:00.000Z	38 \| good	3.753 \| good	7.432 \| good	41.093 \| good	0.238 \| good	2.55 \| good	0.12 \| good
2026-05-15T19:00:00.000Z	35 \| good	4.423 \| good	8.5 \| good	38.389 \| good	0.327 \| good	3.326 \| good	0.122 \| good
2026-05-15T20:00:00.000Z	33 \| good	5.217 \| good	9.869 \| good	35.914 \| good	0.45 \| good	5.097 \| good	0.124 \| good
2026-05-15T21:00:00.000Z	31 \| good	5.44 \| good	9.887 \| good	33.456 \| good	0.59 \| good	6.857 \| good	0.129 \| good
2026-05-15T22:00:00.000Z	33 \| good	5.594 \| good	9.647 \| good	28.4 \| good	0.703 \| good	7.782 \| good	0.131 \| good
2026-05-15T23:00:00.000Z	38 \| good	6.525 \| good	9.476 \| good	25.369 \| good	0.712 \| good	9.346 \| good	0.136 \| good
2026-05-16T00:00:00.000Z	44 \| good	7.859 \| good	10.234 \| good	24.081 \| good	0.665 \| good	10.133 \| good	0.139 \| good
2026-05-16T01:00:00.000Z	44 \| good	8.167 \| good	10.534 \| good	19.818 \| good	0.577 \| good	9.583 \| good	0.138 \| good
2026-05-16T02:00:00.000Z	44 \| good	7.602 \| good	9.812 \| good	20.313 \| good	0.473 \| good	7.963 \| good	0.132 \| good
2026-05-16T03:00:00.000Z	38 \| good	7.363 \| good	9.573 \| good	21.1 \| good	0.41 \| good	7.55 \| good	0.128 \| good
2026-05-16T04:00:00.000Z	44 \| good	7.874 \| good	10.493 \| good	21.081 \| good	0.419 \| good	7.544 \| good	0.128 \| good
2026-05-16T05:00:00.000Z	38 \| good	7.357 \| good	10.784 \| good	21.865 \| good	0.462 \| good	6.604 \| good	0.128 \| good
2026-05-16T06:00:00.000Z	33 \| good	5.659 \| good	8.621 \| good	24.179 \| good	0.479 \| good	6.006 \| good	0.127 \| good
2026-05-16T07:00:00.000Z	29 \| good	4.059 \| good	6.95 \| good	30.598 \| good	0.377 \| good	3.785 \| good	0.127 \| good
2026-05-16T08:00:00.000Z	32 \| good	2.884 \| good	5.442 \| good	34.953 \| good	0.307 \| good	2.883 \| good	0.125 \| good
2026-05-16T09:00:00.000Z	35 \| good	2.712 \| good	5.393 \| good	37.762 \| good	0.238 \| good	1.986 \| good	0.12 \| good
2026-05-16T10:00:00.000Z	37 \| good	2.844 \| good	5.175 \| good	39.609 \| good	0.19 \| good	1.588 \| good	0.119 \| good
2026-05-16T11:00:00.000Z	39 \| good	2.857 \| good	4.832 \| good	41.677 \| good	0.176 \| good	1.373 \| good	0.117 \| good
2026-05-16T12:00:00.000Z	40 \| good	2.896 \| good	5.036 \| good	42.914 \| good	0.168 \| good	1.42 \| good	0.116 \| good

Real-time air quality index in South Elmsall, West Yorkshire today

Common air pollutants in South Elmsall, West Yorkshire

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live South Elmsall, West Yorkshire air quality forecast and history

Empower business decisions with accurate air quality data

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

Air quality in nearby cities

Adwick Le Street, South Yorkshire

Cudworth, South Yorkshire

Scawthorpe, South Yorkshire

Featherstone, West Yorkshire

Bentley, South Yorkshire

Pontefract, 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 South Elmsall, West Yorkshire updated?

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

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

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

Which pollutant is found most often in South Elmsall, West Yorkshire?

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

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

What are the current PM10 levels at South Elmsall, West Yorkshire?

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

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

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

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

What are the current PM₁₀ levels at South Elmsall, West Yorkshire?

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

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

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