What are the current PM10 levels at Sheffield, South Yorkshire?

The current PM10 levels in Sheffield, South Yorkshire are 9.429 μg/m3.

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

The current sulfur dioxide (SO2) levels in Sheffield, South Yorkshire are 0.592 ppb.

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

The current ozone (O3) levels at Sheffield, South Yorkshire is 29.295 ppm.

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

The current nitrogen dioxide (NO2) levels at Sheffield, South Yorkshire is 4.375 ppb.

Real-time air quality index in Sheffield, South Yorkshire today

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

The measured PM2.5 levels in Sheffield, South Yorkshire at present are 4.175 μg/m3.

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

Sheffield, South Yorkshire

Last updated: ... (Local time)

Common air pollutants in Sheffield, South Yorkshire

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

4.17 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

9.43 μg/m³

155

255

425

605+

Ozone (O₃)

29.30 ppb

201

201+

Sulfur Dioxide (SO₂)

0.59 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

4.38 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.11 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

Sheffield, South Yorkshire

Get Live Pollen Counts

Sheffield, South Yorkshire

Scroll To Air Quality Map

Track live Sheffield, South Yorkshire air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-05-12T13:00:00.000Z	28 \| good	4.665 \| good	11.584 \| good	29.774 \| good	0.526 \| good	4.601 \| good	0.12 \| good
2026-05-12T14:00:00.000Z	31 \| good	4.665 \| good	11.584 \| good	33.273 \| good	0.57 \| good	3.297 \| good	0.111 \| good
2026-05-12T15:00:00.000Z	33 \| good	4.665 \| good	11.584 \| good	36.282 \| good	0.672 \| good	3.09 \| good	0.113 \| good
2026-05-12T16:00:00.000Z	35 \| good	4.665 \| good	11.584 \| good	37.517 \| good	0.488 \| good	3.392 \| good	0.117 \| good
2026-05-12T17:00:00.000Z	36 \| good	4.921 \| good	11.841 \| good	38.899 \| good	0.487 \| good	3.032 \| good	0.662 \| good
2026-05-12T18:00:00.000Z	37 \| good	4.921 \| good	11.841 \| good	39.607 \| good	0.473 \| good	3.006 \| good	0.662 \| good
2026-05-12T19:00:00.000Z	37 \| good	4.921 \| good	12.041 \| good	39.705 \| good	0.564 \| good	2.898 \| good	0.163 \| good
2026-05-12T20:00:00.000Z	37 \| good	4.921 \| good	12.041 \| good	40.274 \| good	0.459 \| good	2.912 \| good	0.155 \| good
2026-05-12T21:00:00.000Z	37 \| good	4.921 \| good	12.041 \| good	40.128 \| good	0.468 \| good	3.705 \| good	0.153 \| good
2026-05-12T22:00:00.000Z	37 \| good	4.921 \| good	12.041 \| good	39.506 \| good	0.456 \| good	4.143 \| good	0.153 \| good
2026-05-12T23:00:00.000Z	35 \| good	4.921 \| good	12.041 \| good	37.531 \| good	0.52 \| good	5.028 \| good	0.662 \| good
2026-05-13T00:00:00.000Z	33 \| good	4.812 \| good	11.9 \| good	36.331 \| good	0.722 \| good	7.218 \| good	0.132 \| good
2026-05-13T01:00:00.000Z	31 \| good	4.853 \| good	12.338 \| good	34.309 \| good	0.839 \| good	4.945 \| good	0.662 \| good
2026-05-13T02:00:00.000Z	31 \| good	4.853 \| good	12.27 \| good	33.552 \| good	0.842 \| good	3.416 \| good	0.662 \| good
2026-05-13T03:00:00.000Z	30 \| good	4.853 \| good	12.27 \| good	32.193 \| good	0.733 \| good	2.239 \| good	0.662 \| good
2026-05-13T04:00:00.000Z	29 \| good	4.853 \| good	12.27 \| good	31.498 \| good	0.803 \| good	1.767 \| good	0.662 \| good
2026-05-13T05:00:00.000Z	29 \| good	4.853 \| good	12.27 \| good	31.075 \| good	0.618 \| good	1.729 \| good	0.662 \| good
2026-05-13T06:00:00.000Z	29 \| good	4.853 \| good	12.27 \| good	30.768 \| good	0.586 \| good	2.609 \| good	0.662 \| good
2026-05-13T07:00:00.000Z	29 \| good	5.053 \| good	12.27 \| good	30.797 \| good	0.661 \| good	3.516 \| good	0.144 \| good
2026-05-13T08:00:00.000Z	29 \| good	4.744 \| good	11.832 \| good	31.135 \| good	0.66 \| good	3.817 \| good	0.662 \| good
2026-05-13T09:00:00.000Z	30 \| good	5.11 \| good	11.832 \| good	32.355 \| good	0.618 \| good	3.653 \| good	0.662 \| good
2026-05-13T10:00:00.000Z	30 \| good	5.219 \| good	12.202 \| good	32.254 \| good	0.617 \| good	5.437 \| good	0.125 \| good
2026-05-13T11:00:00.000Z	31 \| good	4.744 \| good	11.198 \| good	32.691 \| good	0.66 \| good	3.727 \| good	0.122 \| good
2026-05-13T12:00:00.000Z	31 \| good	4.744 \| good	11.198 \| good	32.561 \| good	0.691 \| good	3.327 \| good	0.115 \| good
2026-05-13T13:00:00.000Z	30 \| good	4.744 \| good	11.198 \| good	31.873 \| good	0.724 \| good	4.253 \| good	0.117 \| good
2026-05-13T14:00:00.000Z	31 \| good	4.744 \| good	10.873 \| good	32.657 \| good	0.836 \| good	4.141 \| good	0.118 \| good
2026-05-13T15:00:00.000Z	31 \| good	4.487 \| good	10.308 \| good	32.81 \| good	0.775 \| good	2.616 \| good	0.113 \| good
2026-05-13T16:00:00.000Z	30 \| good	4.419 \| good	9.983 \| good	32.289 \| good	0.798 \| good	4.028 \| good	0.117 \| good
2026-05-13T17:00:00.000Z	30 \| good	4.419 \| good	9.783 \| good	31.706 \| good	0.708 \| good	7.105 \| good	0.122 \| good
2026-05-13T18:00:00.000Z	29 \| good	3.853 \| good	9.349 \| good	31.462 \| good	0.772 \| good	6.492 \| good	0.139 \| good
2026-05-13T19:00:00.000Z	29 \| good	3.853 \| good	9.092 \| good	30.798 \| good	0.658 \| good	5.89 \| good	0.197 \| good
2026-05-13T20:00:00.000Z	28 \| good	3.744 \| good	8.345 \| good	30.111 \| good	0.614 \| good	5.378 \| good	0.211 \| good
2026-05-13T21:00:00.000Z	27 \| good	3.487 \| good	7.722 \| good	29.473 \| good	0.609 \| good	5.142 \| good	0.2 \| good
2026-05-13T22:00:00.000Z	26 \| good	3.487 \| good	7.654 \| good	28.357 \| good	0.663 \| good	5.626 \| good	0.216 \| good
2026-05-13T23:00:00.000Z	26 \| good	3.419 \| good	6.832 \| good	28.464 \| good	0.656 \| good	4.333 \| good	0.224 \| good
2026-05-14T00:00:00.000Z	26 \| good	3.053 \| good	6.832 \| good	28.058 \| good	0.659 \| good	4.187 \| good	0.205 \| good
2026-05-14T01:00:00.000Z	25 \| good	2.853 \| good	6.832 \| good	26.934 \| good	0.627 \| good	3.811 \| good	0.167 \| good
2026-05-14T02:00:00.000Z	24 \| good	2.853 \| good	6.564 \| good	25.704 \| good	0.627 \| good	2.655 \| good	0.167 \| good
2026-05-14T03:00:00.000Z	23 \| good	2.487 \| good	5.503 \| good	24.572 \| good	0.597 \| good	1.512 \| good	0.15 \| good
2026-05-14T04:00:00.000Z	22 \| good	2.487 \| good	5.503 \| good	24.123 \| good	0.526 \| good	1.628 \| good	0.158 \| good
2026-05-14T05:00:00.000Z	22 \| good	2.487 \| good	5.503 \| good	23.635 \| good	0.583 \| good	2.028 \| good	0.172 \| good
2026-05-14T06:00:00.000Z	21 \| good	2.487 \| good	5.869 \| good	23.495 \| good	0.662 \| good	2.248 \| good	0.208 \| good
2026-05-14T07:00:00.000Z	21 \| good	2.487 \| good	5.503 \| good	23.102 \| good	0.799 \| good	3.604 \| good	0.177 \| good
2026-05-14T08:00:00.000Z	21 \| good	2.487 \| good	5.503 \| good	23.364 \| good	0.763 \| good	4.089 \| good	0.157 \| good
2026-05-14T09:00:00.000Z	22 \| good	2.487 \| good	5.703 \| good	24.476 \| good	0.609 \| good	3.809 \| good	0.13 \| good
2026-05-14T10:00:00.000Z	25 \| good	2.687 \| good	6.069 \| good	26.831 \| good	0.687 \| good	4.273 \| good	0.118 \| good
2026-05-14T11:00:00.000Z	27 \| good	2.796 \| good	6.507 \| good	28.796 \| good	0.608 \| good	4.496 \| good	0.118 \| good
2026-05-14T12:00:00.000Z	28 \| good	3.053 \| good	6.507 \| good	30.182 \| good	0.608 \| good	3.202 \| good	0.108 \| good
2026-05-14T12:00:00.000Z	27 \| good	4.175 \| good	9.429 \| good	29.295 \| good	0.592 \| good	4.375 \| good	0.108 \| good
2026-05-14T13:00:00.000Z	39 \| good	2.816 \| good	5.084 \| good	41.774 \| good	0.148 \| good	1.344 \| good	0.113 \| good
2026-05-14T14:00:00.000Z	38 \| good	2.836 \| good	4.801 \| good	41.073 \| good	0.142 \| good	1.659 \| good	0.114 \| good
2026-05-14T15:00:00.000Z	37 \| good	2.77 \| good	4.657 \| good	40.348 \| good	0.157 \| good	2.166 \| good	0.116 \| good
2026-05-14T16:00:00.000Z	37 \| good	2.89 \| good	4.553 \| good	39.669 \| good	0.173 \| good	2.552 \| good	0.117 \| good
2026-05-14T17:00:00.000Z	36 \| good	3.121 \| good	4.71 \| good	39.047 \| good	0.225 \| good	3.229 \| good	0.12 \| good
2026-05-14T18:00:00.000Z	35 \| good	3.17 \| good	4.322 \| good	37.737 \| good	0.299 \| good	3.875 \| good	0.123 \| good
2026-05-14T19:00:00.000Z	32 \| good	3.408 \| good	4.308 \| good	35.39 \| good	0.339 \| good	4.398 \| good	0.125 \| good
2026-05-14T20:00:00.000Z	31 \| good	4.146 \| good	6.457 \| good	33.162 \| good	0.429 \| good	6.057 \| good	0.127 \| good
2026-05-14T21:00:00.000Z	28 \| good	5.124 \| good	8.554 \| good	30.439 \| good	0.539 \| good	6.659 \| good	0.129 \| good
2026-05-14T22:00:00.000Z	33 \| good	5.808 \| good	10.239 \| good	29.126 \| good	0.53 \| good	6.306 \| good	0.129 \| good
2026-05-14T23:00:00.000Z	33 \| good	6.359 \| good	11.36 \| good	29.647 \| good	0.454 \| good	5.596 \| good	0.127 \| good
2026-05-15T00:00:00.000Z	33 \| good	6.1 \| good	11.274 \| good	29.979 \| good	0.384 \| good	4.634 \| good	0.122 \| good
2026-05-15T01:00:00.000Z	28 \| good	5.199 \| good	10.692 \| good	29.715 \| good	0.303 \| good	3.771 \| good	0.118 \| good
2026-05-15T02:00:00.000Z	28 \| good	4.221 \| good	7.901 \| good	30.357 \| good	0.255 \| good	2.702 \| good	0.115 \| good
2026-05-15T03:00:00.000Z	29 \| good	3.196 \| good	6.278 \| good	30.606 \| good	0.222 \| good	2.13 \| good	0.113 \| good
2026-05-15T04:00:00.000Z	28 \| good	2.684 \| good	5.467 \| good	29.814 \| good	0.214 \| good	2.019 \| good	0.114 \| good
2026-05-15T05:00:00.000Z	29 \| good	2.71 \| good	5.461 \| good	31.056 \| good	0.233 \| good	2.196 \| good	0.113 \| good
2026-05-15T06:00:00.000Z	31 \| good	2.741 \| good	5.733 \| good	32.821 \| good	0.244 \| good	2.891 \| good	0.117 \| good
2026-05-15T07:00:00.000Z	31 \| good	2.592 \| good	5.636 \| good	34.27 \| good	0.224 \| good	2.76 \| good	0.118 \| good
2026-05-15T08:00:00.000Z	34 \| good	2.511 \| good	6.012 \| good	36.627 \| good	0.2 \| good	2.254 \| good	0.118 \| good
2026-05-15T09:00:00.000Z	37 \| good	2.543 \| good	5.824 \| good	40.155 \| good	0.175 \| good	2.004 \| good	0.116 \| good
2026-05-15T10:00:00.000Z	39 \| good	2.516 \| good	5.784 \| good	42.056 \| good	0.164 \| good	1.719 \| good	0.115 \| good
2026-05-15T11:00:00.000Z	41 \| good	2.58 \| good	5.92 \| good	43.519 \| good	0.152 \| good	1.58 \| good	0.114 \| good
2026-05-15T12:00:00.000Z	41 \| good	2.468 \| good	6.002 \| good	43.879 \| good	0.143 \| good	1.508 \| good	0.113 \| good
2026-05-15T13:00:00.000Z	41 \| good	2.507 \| good	6.101 \| good	44.265 \| good	0.149 \| good	1.497 \| good	0.113 \| good
2026-05-15T14:00:00.000Z	41 \| good	2.683 \| good	6.443 \| good	44.233 \| good	0.15 \| good	1.524 \| good	0.113 \| good
2026-05-15T15:00:00.000Z	41 \| good	2.965 \| good	6.637 \| good	43.845 \| good	0.155 \| good	1.708 \| good	0.114 \| good
2026-05-15T16:00:00.000Z	40 \| good	3.288 \| good	7.026 \| good	43.175 \| good	0.166 \| good	2.099 \| good	0.116 \| good
2026-05-15T17:00:00.000Z	40 \| good	3.669 \| good	7.377 \| good	42.705 \| good	0.192 \| good	2.786 \| good	0.119 \| good
2026-05-15T18:00:00.000Z	39 \| good	3.972 \| good	7.912 \| good	42.063 \| good	0.252 \| good	3.501 \| good	0.121 \| good
2026-05-15T19:00:00.000Z	35 \| good	4.384 \| good	8.545 \| good	38.295 \| good	0.374 \| good	4.389 \| good	0.122 \| good
2026-05-15T20:00:00.000Z	32 \| good	4.615 \| good	9.269 \| good	35.432 \| good	0.52 \| good	5.811 \| good	0.125 \| good
2026-05-15T21:00:00.000Z	31 \| good	4.975 \| good	9.74 \| good	33.532 \| good	0.556 \| good	6.572 \| good	0.128 \| good
2026-05-15T22:00:00.000Z	33 \| good	5.89 \| good	9.609 \| good	30.38 \| good	0.545 \| good	6.652 \| good	0.131 \| good
2026-05-15T23:00:00.000Z	38 \| good	6.663 \| good	9.917 \| good	28.904 \| good	0.491 \| good	6.703 \| good	0.134 \| good
2026-05-16T00:00:00.000Z	38 \| good	7.099 \| good	10.712 \| good	27.778 \| good	0.476 \| good	6.873 \| good	0.136 \| good
2026-05-16T01:00:00.000Z	38 \| good	7.385 \| good	11.099 \| good	25.441 \| good	0.482 \| good	6.706 \| good	0.135 \| good
2026-05-16T02:00:00.000Z	38 \| good	7.276 \| good	11.026 \| good	23.576 \| good	0.442 \| good	6.805 \| good	0.134 \| good
2026-05-16T03:00:00.000Z	38 \| good	7.378 \| good	10.671 \| good	22.942 \| good	0.431 \| good	6.616 \| good	0.132 \| good
2026-05-16T04:00:00.000Z	44 \| good	7.966 \| good	10.937 \| good	23.552 \| good	0.442 \| good	6.258 \| good	0.129 \| good
2026-05-16T05:00:00.000Z	38 \| good	6.846 \| good	10.021 \| good	24.969 \| good	0.46 \| good	6.025 \| good	0.124 \| good
2026-05-16T06:00:00.000Z	27 \| good	4.683 \| good	7.38 \| good	27.691 \| good	0.39 \| good	4.483 \| good	0.125 \| good
2026-05-16T07:00:00.000Z	30 \| good	3.559 \| good	6.02 \| good	32.296 \| good	0.32 \| good	3.104 \| good	0.122 \| good
2026-05-16T08:00:00.000Z	33 \| good	3.084 \| good	5.556 \| good	35.951 \| good	0.281 \| good	2.35 \| good	0.119 \| good
2026-05-16T09:00:00.000Z	34 \| good	2.581 \| good	4.871 \| good	36.891 \| good	0.207 \| good	1.852 \| good	0.116 \| good
2026-05-16T10:00:00.000Z	35 \| good	2.531 \| good	4.71 \| good	38.399 \| good	0.188 \| good	1.762 \| good	0.116 \| good
2026-05-16T11:00:00.000Z	37 \| good	3.007 \| good	4.856 \| good	39.988 \| good	0.197 \| good	1.66 \| good	0.117 \| good
2026-05-16T12:00:00.000Z	39 \| good	3.236 \| good	4.777 \| good	41.929 \| good	0.195 \| good	1.6 \| good	0.117 \| good

Sheffield

Empower business decisions with accurate air quality data

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

0.12ppm

How accurate is South Yorkshire, UK air quality data?

Air quality measurements for South 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

Air quality levels in UK

Check live rankings of places in the UK affected by air pollution.

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Frequently asked questions

How frequently is the air quality data for Sheffield, South Yorkshire updated?

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

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

The worst air quality in Sheffield, South Yorkshire was recorded at 03:00:00 on 2026-05-13.

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

The best air quality in Sheffield, South Yorkshire was recorded at 08:00:00 on 2026-05-14.

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

The real-time air quality index in Sheffield, South Yorkshire is 27, currently categorized as Good.

Which pollutant is found most often in Sheffield, South Yorkshire?

The most common pollutant in Sheffield, South Yorkshire is O3.

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

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

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

The measured PM_2.5 levels in Sheffield, South Yorkshire at present are 4.175 μg/m³.

What are the current PM₁₀ levels at Sheffield, South Yorkshire?

The current PM₁₀ levels in Sheffield, South Yorkshire are 9.429 μg/m³.

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

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

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

The current sulfur dioxide (SO₂) levels in Sheffield, South Yorkshire are 0.592 ppb.

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

The current ozone (O₃) levels at Sheffield, South Yorkshire is 29.295 ppm.

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

The current nitrogen dioxide (NO₂) levels at Sheffield, South Yorkshire is 4.375 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-05-12T13:00:00.000Z	28 \| good	4.665 \| good	11.584 \| good	29.774 \| good	0.526 \| good	4.601 \| good	0.12 \| good
2026-05-12T14:00:00.000Z	31 \| good	4.665 \| good	11.584 \| good	33.273 \| good	0.57 \| good	3.297 \| good	0.111 \| good
2026-05-12T15:00:00.000Z	33 \| good	4.665 \| good	11.584 \| good	36.282 \| good	0.672 \| good	3.09 \| good	0.113 \| good
2026-05-12T16:00:00.000Z	35 \| good	4.665 \| good	11.584 \| good	37.517 \| good	0.488 \| good	3.392 \| good	0.117 \| good
2026-05-12T17:00:00.000Z	36 \| good	4.921 \| good	11.841 \| good	38.899 \| good	0.487 \| good	3.032 \| good	0.662 \| good
2026-05-12T18:00:00.000Z	37 \| good	4.921 \| good	11.841 \| good	39.607 \| good	0.473 \| good	3.006 \| good	0.662 \| good
2026-05-12T19:00:00.000Z	37 \| good	4.921 \| good	12.041 \| good	39.705 \| good	0.564 \| good	2.898 \| good	0.163 \| good
2026-05-12T20:00:00.000Z	37 \| good	4.921 \| good	12.041 \| good	40.274 \| good	0.459 \| good	2.912 \| good	0.155 \| good
2026-05-12T21:00:00.000Z	37 \| good	4.921 \| good	12.041 \| good	40.128 \| good	0.468 \| good	3.705 \| good	0.153 \| good
2026-05-12T22:00:00.000Z	37 \| good	4.921 \| good	12.041 \| good	39.506 \| good	0.456 \| good	4.143 \| good	0.153 \| good
2026-05-12T23:00:00.000Z	35 \| good	4.921 \| good	12.041 \| good	37.531 \| good	0.52 \| good	5.028 \| good	0.662 \| good
2026-05-13T00:00:00.000Z	33 \| good	4.812 \| good	11.9 \| good	36.331 \| good	0.722 \| good	7.218 \| good	0.132 \| good
2026-05-13T01:00:00.000Z	31 \| good	4.853 \| good	12.338 \| good	34.309 \| good	0.839 \| good	4.945 \| good	0.662 \| good
2026-05-13T02:00:00.000Z	31 \| good	4.853 \| good	12.27 \| good	33.552 \| good	0.842 \| good	3.416 \| good	0.662 \| good
2026-05-13T03:00:00.000Z	30 \| good	4.853 \| good	12.27 \| good	32.193 \| good	0.733 \| good	2.239 \| good	0.662 \| good
2026-05-13T04:00:00.000Z	29 \| good	4.853 \| good	12.27 \| good	31.498 \| good	0.803 \| good	1.767 \| good	0.662 \| good
2026-05-13T05:00:00.000Z	29 \| good	4.853 \| good	12.27 \| good	31.075 \| good	0.618 \| good	1.729 \| good	0.662 \| good
2026-05-13T06:00:00.000Z	29 \| good	4.853 \| good	12.27 \| good	30.768 \| good	0.586 \| good	2.609 \| good	0.662 \| good
2026-05-13T07:00:00.000Z	29 \| good	5.053 \| good	12.27 \| good	30.797 \| good	0.661 \| good	3.516 \| good	0.144 \| good
2026-05-13T08:00:00.000Z	29 \| good	4.744 \| good	11.832 \| good	31.135 \| good	0.66 \| good	3.817 \| good	0.662 \| good
2026-05-13T09:00:00.000Z	30 \| good	5.11 \| good	11.832 \| good	32.355 \| good	0.618 \| good	3.653 \| good	0.662 \| good
2026-05-13T10:00:00.000Z	30 \| good	5.219 \| good	12.202 \| good	32.254 \| good	0.617 \| good	5.437 \| good	0.125 \| good
2026-05-13T11:00:00.000Z	31 \| good	4.744 \| good	11.198 \| good	32.691 \| good	0.66 \| good	3.727 \| good	0.122 \| good
2026-05-13T12:00:00.000Z	31 \| good	4.744 \| good	11.198 \| good	32.561 \| good	0.691 \| good	3.327 \| good	0.115 \| good
2026-05-13T13:00:00.000Z	30 \| good	4.744 \| good	11.198 \| good	31.873 \| good	0.724 \| good	4.253 \| good	0.117 \| good
2026-05-13T14:00:00.000Z	31 \| good	4.744 \| good	10.873 \| good	32.657 \| good	0.836 \| good	4.141 \| good	0.118 \| good
2026-05-13T15:00:00.000Z	31 \| good	4.487 \| good	10.308 \| good	32.81 \| good	0.775 \| good	2.616 \| good	0.113 \| good
2026-05-13T16:00:00.000Z	30 \| good	4.419 \| good	9.983 \| good	32.289 \| good	0.798 \| good	4.028 \| good	0.117 \| good
2026-05-13T17:00:00.000Z	30 \| good	4.419 \| good	9.783 \| good	31.706 \| good	0.708 \| good	7.105 \| good	0.122 \| good
2026-05-13T18:00:00.000Z	29 \| good	3.853 \| good	9.349 \| good	31.462 \| good	0.772 \| good	6.492 \| good	0.139 \| good
2026-05-13T19:00:00.000Z	29 \| good	3.853 \| good	9.092 \| good	30.798 \| good	0.658 \| good	5.89 \| good	0.197 \| good
2026-05-13T20:00:00.000Z	28 \| good	3.744 \| good	8.345 \| good	30.111 \| good	0.614 \| good	5.378 \| good	0.211 \| good
2026-05-13T21:00:00.000Z	27 \| good	3.487 \| good	7.722 \| good	29.473 \| good	0.609 \| good	5.142 \| good	0.2 \| good
2026-05-13T22:00:00.000Z	26 \| good	3.487 \| good	7.654 \| good	28.357 \| good	0.663 \| good	5.626 \| good	0.216 \| good
2026-05-13T23:00:00.000Z	26 \| good	3.419 \| good	6.832 \| good	28.464 \| good	0.656 \| good	4.333 \| good	0.224 \| good
2026-05-14T00:00:00.000Z	26 \| good	3.053 \| good	6.832 \| good	28.058 \| good	0.659 \| good	4.187 \| good	0.205 \| good
2026-05-14T01:00:00.000Z	25 \| good	2.853 \| good	6.832 \| good	26.934 \| good	0.627 \| good	3.811 \| good	0.167 \| good
2026-05-14T02:00:00.000Z	24 \| good	2.853 \| good	6.564 \| good	25.704 \| good	0.627 \| good	2.655 \| good	0.167 \| good
2026-05-14T03:00:00.000Z	23 \| good	2.487 \| good	5.503 \| good	24.572 \| good	0.597 \| good	1.512 \| good	0.15 \| good
2026-05-14T04:00:00.000Z	22 \| good	2.487 \| good	5.503 \| good	24.123 \| good	0.526 \| good	1.628 \| good	0.158 \| good
2026-05-14T05:00:00.000Z	22 \| good	2.487 \| good	5.503 \| good	23.635 \| good	0.583 \| good	2.028 \| good	0.172 \| good
2026-05-14T06:00:00.000Z	21 \| good	2.487 \| good	5.869 \| good	23.495 \| good	0.662 \| good	2.248 \| good	0.208 \| good
2026-05-14T07:00:00.000Z	21 \| good	2.487 \| good	5.503 \| good	23.102 \| good	0.799 \| good	3.604 \| good	0.177 \| good
2026-05-14T08:00:00.000Z	21 \| good	2.487 \| good	5.503 \| good	23.364 \| good	0.763 \| good	4.089 \| good	0.157 \| good
2026-05-14T09:00:00.000Z	22 \| good	2.487 \| good	5.703 \| good	24.476 \| good	0.609 \| good	3.809 \| good	0.13 \| good
2026-05-14T10:00:00.000Z	25 \| good	2.687 \| good	6.069 \| good	26.831 \| good	0.687 \| good	4.273 \| good	0.118 \| good
2026-05-14T11:00:00.000Z	27 \| good	2.796 \| good	6.507 \| good	28.796 \| good	0.608 \| good	4.496 \| good	0.118 \| good
2026-05-14T12:00:00.000Z	28 \| good	3.053 \| good	6.507 \| good	30.182 \| good	0.608 \| good	3.202 \| good	0.108 \| good
2026-05-14T12:00:00.000Z	27 \| good	4.175 \| good	9.429 \| good	29.295 \| good	0.592 \| good	4.375 \| good	0.108 \| good
2026-05-14T13:00:00.000Z	39 \| good	2.816 \| good	5.084 \| good	41.774 \| good	0.148 \| good	1.344 \| good	0.113 \| good
2026-05-14T14:00:00.000Z	38 \| good	2.836 \| good	4.801 \| good	41.073 \| good	0.142 \| good	1.659 \| good	0.114 \| good
2026-05-14T15:00:00.000Z	37 \| good	2.77 \| good	4.657 \| good	40.348 \| good	0.157 \| good	2.166 \| good	0.116 \| good
2026-05-14T16:00:00.000Z	37 \| good	2.89 \| good	4.553 \| good	39.669 \| good	0.173 \| good	2.552 \| good	0.117 \| good
2026-05-14T17:00:00.000Z	36 \| good	3.121 \| good	4.71 \| good	39.047 \| good	0.225 \| good	3.229 \| good	0.12 \| good
2026-05-14T18:00:00.000Z	35 \| good	3.17 \| good	4.322 \| good	37.737 \| good	0.299 \| good	3.875 \| good	0.123 \| good
2026-05-14T19:00:00.000Z	32 \| good	3.408 \| good	4.308 \| good	35.39 \| good	0.339 \| good	4.398 \| good	0.125 \| good
2026-05-14T20:00:00.000Z	31 \| good	4.146 \| good	6.457 \| good	33.162 \| good	0.429 \| good	6.057 \| good	0.127 \| good
2026-05-14T21:00:00.000Z	28 \| good	5.124 \| good	8.554 \| good	30.439 \| good	0.539 \| good	6.659 \| good	0.129 \| good
2026-05-14T22:00:00.000Z	33 \| good	5.808 \| good	10.239 \| good	29.126 \| good	0.53 \| good	6.306 \| good	0.129 \| good
2026-05-14T23:00:00.000Z	33 \| good	6.359 \| good	11.36 \| good	29.647 \| good	0.454 \| good	5.596 \| good	0.127 \| good
2026-05-15T00:00:00.000Z	33 \| good	6.1 \| good	11.274 \| good	29.979 \| good	0.384 \| good	4.634 \| good	0.122 \| good
2026-05-15T01:00:00.000Z	28 \| good	5.199 \| good	10.692 \| good	29.715 \| good	0.303 \| good	3.771 \| good	0.118 \| good
2026-05-15T02:00:00.000Z	28 \| good	4.221 \| good	7.901 \| good	30.357 \| good	0.255 \| good	2.702 \| good	0.115 \| good
2026-05-15T03:00:00.000Z	29 \| good	3.196 \| good	6.278 \| good	30.606 \| good	0.222 \| good	2.13 \| good	0.113 \| good
2026-05-15T04:00:00.000Z	28 \| good	2.684 \| good	5.467 \| good	29.814 \| good	0.214 \| good	2.019 \| good	0.114 \| good
2026-05-15T05:00:00.000Z	29 \| good	2.71 \| good	5.461 \| good	31.056 \| good	0.233 \| good	2.196 \| good	0.113 \| good
2026-05-15T06:00:00.000Z	31 \| good	2.741 \| good	5.733 \| good	32.821 \| good	0.244 \| good	2.891 \| good	0.117 \| good
2026-05-15T07:00:00.000Z	31 \| good	2.592 \| good	5.636 \| good	34.27 \| good	0.224 \| good	2.76 \| good	0.118 \| good
2026-05-15T08:00:00.000Z	34 \| good	2.511 \| good	6.012 \| good	36.627 \| good	0.2 \| good	2.254 \| good	0.118 \| good
2026-05-15T09:00:00.000Z	37 \| good	2.543 \| good	5.824 \| good	40.155 \| good	0.175 \| good	2.004 \| good	0.116 \| good
2026-05-15T10:00:00.000Z	39 \| good	2.516 \| good	5.784 \| good	42.056 \| good	0.164 \| good	1.719 \| good	0.115 \| good
2026-05-15T11:00:00.000Z	41 \| good	2.58 \| good	5.92 \| good	43.519 \| good	0.152 \| good	1.58 \| good	0.114 \| good
2026-05-15T12:00:00.000Z	41 \| good	2.468 \| good	6.002 \| good	43.879 \| good	0.143 \| good	1.508 \| good	0.113 \| good
2026-05-15T13:00:00.000Z	41 \| good	2.507 \| good	6.101 \| good	44.265 \| good	0.149 \| good	1.497 \| good	0.113 \| good
2026-05-15T14:00:00.000Z	41 \| good	2.683 \| good	6.443 \| good	44.233 \| good	0.15 \| good	1.524 \| good	0.113 \| good
2026-05-15T15:00:00.000Z	41 \| good	2.965 \| good	6.637 \| good	43.845 \| good	0.155 \| good	1.708 \| good	0.114 \| good
2026-05-15T16:00:00.000Z	40 \| good	3.288 \| good	7.026 \| good	43.175 \| good	0.166 \| good	2.099 \| good	0.116 \| good
2026-05-15T17:00:00.000Z	40 \| good	3.669 \| good	7.377 \| good	42.705 \| good	0.192 \| good	2.786 \| good	0.119 \| good
2026-05-15T18:00:00.000Z	39 \| good	3.972 \| good	7.912 \| good	42.063 \| good	0.252 \| good	3.501 \| good	0.121 \| good
2026-05-15T19:00:00.000Z	35 \| good	4.384 \| good	8.545 \| good	38.295 \| good	0.374 \| good	4.389 \| good	0.122 \| good
2026-05-15T20:00:00.000Z	32 \| good	4.615 \| good	9.269 \| good	35.432 \| good	0.52 \| good	5.811 \| good	0.125 \| good
2026-05-15T21:00:00.000Z	31 \| good	4.975 \| good	9.74 \| good	33.532 \| good	0.556 \| good	6.572 \| good	0.128 \| good
2026-05-15T22:00:00.000Z	33 \| good	5.89 \| good	9.609 \| good	30.38 \| good	0.545 \| good	6.652 \| good	0.131 \| good
2026-05-15T23:00:00.000Z	38 \| good	6.663 \| good	9.917 \| good	28.904 \| good	0.491 \| good	6.703 \| good	0.134 \| good
2026-05-16T00:00:00.000Z	38 \| good	7.099 \| good	10.712 \| good	27.778 \| good	0.476 \| good	6.873 \| good	0.136 \| good
2026-05-16T01:00:00.000Z	38 \| good	7.385 \| good	11.099 \| good	25.441 \| good	0.482 \| good	6.706 \| good	0.135 \| good
2026-05-16T02:00:00.000Z	38 \| good	7.276 \| good	11.026 \| good	23.576 \| good	0.442 \| good	6.805 \| good	0.134 \| good
2026-05-16T03:00:00.000Z	38 \| good	7.378 \| good	10.671 \| good	22.942 \| good	0.431 \| good	6.616 \| good	0.132 \| good
2026-05-16T04:00:00.000Z	44 \| good	7.966 \| good	10.937 \| good	23.552 \| good	0.442 \| good	6.258 \| good	0.129 \| good
2026-05-16T05:00:00.000Z	38 \| good	6.846 \| good	10.021 \| good	24.969 \| good	0.46 \| good	6.025 \| good	0.124 \| good
2026-05-16T06:00:00.000Z	27 \| good	4.683 \| good	7.38 \| good	27.691 \| good	0.39 \| good	4.483 \| good	0.125 \| good
2026-05-16T07:00:00.000Z	30 \| good	3.559 \| good	6.02 \| good	32.296 \| good	0.32 \| good	3.104 \| good	0.122 \| good
2026-05-16T08:00:00.000Z	33 \| good	3.084 \| good	5.556 \| good	35.951 \| good	0.281 \| good	2.35 \| good	0.119 \| good
2026-05-16T09:00:00.000Z	34 \| good	2.581 \| good	4.871 \| good	36.891 \| good	0.207 \| good	1.852 \| good	0.116 \| good
2026-05-16T10:00:00.000Z	35 \| good	2.531 \| good	4.71 \| good	38.399 \| good	0.188 \| good	1.762 \| good	0.116 \| good
2026-05-16T11:00:00.000Z	37 \| good	3.007 \| good	4.856 \| good	39.988 \| good	0.197 \| good	1.66 \| good	0.117 \| good
2026-05-16T12:00:00.000Z	39 \| good	3.236 \| good	4.777 \| good	41.929 \| good	0.195 \| good	1.6 \| good	0.117 \| good

Real-time air quality index in Sheffield, South Yorkshire today

Common air pollutants in Sheffield, South Yorkshire

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Sheffield, South Yorkshire air quality forecast and history

Empower business decisions with accurate air quality data

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

Air quality in nearby cities

Chapeltown, South Yorkshire

Dronfield, Derbyshire

Rotherham, South Yorkshire

Swallownest, South Yorkshire

Rawmarsh, South Yorkshire

Hoyland, South Yorkshire

How accurate is South Yorkshire, UK air quality data?

Air quality levels in UK

Frequently asked questions

How frequently is the air quality data for Sheffield, South Yorkshire updated?

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

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

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

Which pollutant is found most often in Sheffield, South Yorkshire?

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

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

What are the current PM10 levels at Sheffield, South Yorkshire?

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

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

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

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

What are the current PM₁₀ levels at Sheffield, South Yorkshire?

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

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

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