What is the current level of PM10 in Barnsley, South Yorkshire?

Barnsley, South Yorkshire currently has a PM10 concentration of 5.699 μg/m3.

What is the current level of sulfur dioxide (SO2) in Barnsley, South Yorkshire?

The current sulfur dioxide (SO2) concentration in Barnsley, South Yorkshire is 0.407 ppb.

What is the current level of ozone (O3) in Barnsley, South Yorkshire?

Barnsley, South Yorkshire currently has an ozone (O3) concentration of 29.001 ppm.

What is the current level of nitrogen dioxide (NO2) in Barnsley, South Yorkshire?

The current level of nitrogen dioxide (NO2) in Barnsley, South Yorkshire is 2.486 ppb.

Current air quality index in Barnsley, South Yorkshire today

Q: What is the PM2.5 concentration in Barnsley, South Yorkshire right now?

Barnsley, South Yorkshire currently has a PM2.5 concentration of 3.102 μg/m3.

Stay updated with real-time air quality in Barnsley, 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

Barnsley, South Yorkshire

Last updated: ... (Local time)

Common air pollutants in Barnsley, South Yorkshire

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

3.10 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

5.70 μg/m³

155

255

425

605+

Ozone (O₃)

29.93 ppb

201

201+

Sulfur Dioxide (SO₂)

0.75 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

2.19 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.12 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

Barnsley, South Yorkshire

Get Live Pollen Counts

Barnsley, South Yorkshire

Scroll To Air Quality Map

Track live Barnsley, South Yorkshire air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-05-12T14:00:00.000Z	33 \| good	6.151 \| good	21.382 \| good	30.118 \| good	0.539 \| good	4.911 \| good	0.111 \| good
2026-05-12T15:00:00.000Z	33 \| good	6.151 \| good	21.382 \| good	33.519 \| good	0.621 \| good	4.429 \| good	0.113 \| good
2026-05-12T16:00:00.000Z	33 \| good	6.151 \| good	21.445 \| good	35.022 \| good	0.475 \| good	5.145 \| good	0.117 \| good
2026-05-12T17:00:00.000Z	33 \| good	6.214 \| good	21.445 \| good	36.178 \| good	0.475 \| good	4.483 \| good	0.662 \| good
2026-05-12T18:00:00.000Z	35 \| good	6.214 \| good	21.445 \| good	37.545 \| good	0.465 \| good	5.466 \| good	0.662 \| good
2026-05-12T19:00:00.000Z	35 \| good	6.214 \| good	21.685 \| good	37.99 \| good	0.527 \| good	5.094 \| good	0.163 \| good
2026-05-12T20:00:00.000Z	36 \| good	6.214 \| good	21.685 \| good	38.734 \| good	0.44 \| good	5.108 \| good	0.155 \| good
2026-05-12T21:00:00.000Z	35 \| good	6.214 \| good	21.685 \| good	38.409 \| good	0.447 \| good	5.942 \| good	0.153 \| good
2026-05-12T22:00:00.000Z	34 \| good	6.214 \| good	21.685 \| good	37.429 \| good	0.44 \| good	6.744 \| good	0.153 \| good
2026-05-12T23:00:00.000Z	33 \| good	6.214 \| good	21.621 \| good	34.577 \| good	0.494 \| good	10.239 \| good	0.662 \| good
2026-05-13T00:00:00.000Z	33 \| good	5.711 \| good	19.401 \| good	34.642 \| good	0.742 \| good	16.266 \| good	0.132 \| good
2026-05-13T01:00:00.000Z	33 \| good	5.981 \| good	21.413 \| good	33.777 \| good	0.816 \| good	10.095 \| good	0.662 \| good
2026-05-13T02:00:00.000Z	33 \| good	5.981 \| good	21.243 \| good	33.25 \| good	0.826 \| good	6.152 \| good	0.662 \| good
2026-05-13T03:00:00.000Z	33 \| good	5.981 \| good	21.243 \| good	31.861 \| good	0.748 \| good	4.098 \| good	0.662 \| good
2026-05-13T04:00:00.000Z	33 \| good	5.981 \| good	21.243 \| good	30.509 \| good	0.785 \| good	3.158 \| good	0.662 \| good
2026-05-13T05:00:00.000Z	33 \| good	5.981 \| good	21.243 \| good	28.687 \| good	0.579 \| good	3.343 \| good	0.662 \| good
2026-05-13T06:00:00.000Z	33 \| good	5.981 \| good	21.243 \| good	27.704 \| good	0.556 \| good	5.755 \| good	0.662 \| good
2026-05-13T07:00:00.000Z	33 \| good	6.158 \| good	21.306 \| good	28.228 \| good	0.609 \| good	8.201 \| good	0.144 \| good
2026-05-13T08:00:00.000Z	27 \| good	5.478 \| good	19.231 \| good	27.545 \| good	0.606 \| good	8.342 \| good	0.662 \| good
2026-05-13T09:00:00.000Z	33 \| good	5.503 \| good	19.231 \| good	28.391 \| good	0.572 \| good	7.421 \| good	0.662 \| good
2026-05-13T10:00:00.000Z	33 \| good	6.006 \| good	21.01 \| good	27.958 \| good	0.571 \| good	9.447 \| good	0.125 \| good
2026-05-13T11:00:00.000Z	28 \| good	5.478 \| good	18.798 \| good	29.546 \| good	0.604 \| good	6.56 \| good	0.122 \| good
2026-05-13T12:00:00.000Z	27 \| good	5.478 \| good	18.734 \| good	28.908 \| good	0.62 \| good	4.817 \| good	0.115 \| good
2026-05-13T13:00:00.000Z	27 \| good	5.478 \| good	18.734 \| good	27.488 \| good	0.772 \| good	8.005 \| good	0.117 \| good
2026-05-13T14:00:00.000Z	29 \| good	5.478 \| good	18.501 \| good	31.009 \| good	0.825 \| good	6.975 \| good	0.118 \| good
2026-05-13T15:00:00.000Z	30 \| good	5.478 \| good	18.237 \| good	31.631 \| good	0.796 \| good	5.365 \| good	0.113 \| good
2026-05-13T16:00:00.000Z	29 \| good	5.182 \| good	18.004 \| good	31.012 \| good	0.793 \| good	8.232 \| good	0.117 \| good
2026-05-13T17:00:00.000Z	28 \| good	5.182 \| good	17.765 \| good	30.191 \| good	0.655 \| good	12.467 \| good	0.122 \| good
2026-05-13T18:00:00.000Z	28 \| good	4.981 \| good	17.507 \| good	29.533 \| good	0.721 \| good	11.018 \| good	0.139 \| good
2026-05-13T19:00:00.000Z	27 \| good	4.981 \| good	17.444 \| good	28.733 \| good	0.615 \| good	11.751 \| good	0.197 \| good
2026-05-13T20:00:00.000Z	26 \| good	4.478 \| good	14.753 \| good	27.797 \| good	0.614 \| good	10.718 \| good	0.211 \| good
2026-05-13T21:00:00.000Z	25 \| good	4.415 \| good	14.665 \| good	26.708 \| good	0.608 \| good	9.766 \| good	0.2 \| good
2026-05-13T22:00:00.000Z	23 \| good	4.415 \| good	14.432 \| good	24.921 \| good	0.633 \| good	11.554 \| good	0.216 \| good
2026-05-13T23:00:00.000Z	24 \| good	4.182 \| good	14.231 \| good	25.815 \| good	0.618 \| good	11.487 \| good	0.224 \| good
2026-05-14T00:00:00.000Z	24 \| good	4.158 \| good	14.231 \| good	25.794 \| good	0.616 \| good	10.892 \| good	0.205 \| good
2026-05-14T01:00:00.000Z	22 \| good	3.981 \| good	14.168 \| good	23.855 \| good	0.591 \| good	7.932 \| good	0.167 \| good
2026-05-14T02:00:00.000Z	22 \| good	3.981 \| good	13.759 \| good	22.868 \| good	0.593 \| good	4.749 \| good	0.167 \| good
2026-05-14T03:00:00.000Z	21 \| good	3.478 \| good	11.722 \| good	23.339 \| good	0.57 \| good	2.667 \| good	0.15 \| good
2026-05-14T04:00:00.000Z	22 \| good	3.478 \| good	11.722 \| good	24.079 \| good	0.518 \| good	2.147 \| good	0.158 \| good
2026-05-14T05:00:00.000Z	21 \| good	3.478 \| good	11.722 \| good	23.278 \| good	0.56 \| good	3.856 \| good	0.172 \| good
2026-05-14T06:00:00.000Z	22 \| good	3.478 \| good	11.684 \| good	23.653 \| good	0.624 \| good	5.933 \| good	0.208 \| good
2026-05-14T07:00:00.000Z	22 \| good	3.478 \| good	11.659 \| good	23.746 \| good	0.796 \| good	9.389 \| good	0.177 \| good
2026-05-14T08:00:00.000Z	21 \| good	3.478 \| good	11.722 \| good	23.148 \| good	0.763 \| good	11.429 \| good	0.157 \| good
2026-05-14T09:00:00.000Z	21 \| good	3.478 \| good	11.899 \| good	23.174 \| good	0.585 \| good	8.705 \| good	0.13 \| good
2026-05-14T10:00:00.000Z	24 \| good	3.655 \| good	11.923 \| good	25.559 \| good	0.653 \| good	10.533 \| good	0.118 \| good
2026-05-14T11:00:00.000Z	26 \| good	4.158 \| good	13.935 \| good	28.064 \| good	0.583 \| good	10.362 \| good	0.118 \| good
2026-05-14T12:00:00.000Z	26 \| good	4.158 \| good	13.935 \| good	28.217 \| good	0.583 \| good	6.626 \| good	0.108 \| good
2026-05-14T13:00:00.000Z	26 \| good	4.158 \| good	13.935 \| good	28.293 \| good	3.95 \| good	8.069 \| good	0.122 \| good
2026-05-14T13:00:00.000Z	28 \| good	3.102 \| good	5.699 \| good	29.932 \| good	0.75 \| good	2.194 \| good	0.122 \| good
2026-05-14T13:00:00.000Z	38 \| good	2.407 \| good	4.531 \| good	41.088 \| good	0.16 \| good	1.298 \| good	0.112 \| good
2026-05-14T14:00:00.000Z	37 \| good	2.492 \| good	4.142 \| good	40.16 \| good	0.164 \| good	1.653 \| good	0.114 \| good
2026-05-14T15:00:00.000Z	36 \| good	2.444 \| good	4.254 \| good	38.868 \| good	0.181 \| good	2.126 \| good	0.116 \| good
2026-05-14T16:00:00.000Z	36 \| good	2.597 \| good	4.096 \| good	38.637 \| good	0.188 \| good	2.424 \| good	0.117 \| good
2026-05-14T17:00:00.000Z	36 \| good	2.546 \| good	3.912 \| good	38.661 \| good	0.24 \| good	2.836 \| good	0.119 \| good
2026-05-14T18:00:00.000Z	35 \| good	2.785 \| good	3.847 \| good	38.048 \| good	0.251 \| good	3.531 \| good	0.122 \| good
2026-05-14T19:00:00.000Z	33 \| good	3.497 \| good	5.632 \| good	36.236 \| good	0.334 \| good	4.277 \| good	0.123 \| good
2026-05-14T20:00:00.000Z	30 \| good	4.621 \| good	8.402 \| good	32.423 \| good	0.456 \| good	5.106 \| good	0.125 \| good
2026-05-14T21:00:00.000Z	29 \| good	5.398 \| good	11.076 \| good	30.68 \| good	0.515 \| good	5.408 \| good	0.127 \| good
2026-05-14T22:00:00.000Z	33 \| good	6.088 \| good	11.925 \| good	29.508 \| good	0.507 \| good	5.5 \| good	0.128 \| good
2026-05-14T23:00:00.000Z	33 \| good	6.049 \| good	12.222 \| good	28.123 \| good	0.455 \| good	5.694 \| good	0.125 \| good
2026-05-15T00:00:00.000Z	33 \| good	5.629 \| good	12.01 \| good	27.886 \| good	0.404 \| good	5.354 \| good	0.122 \| good
2026-05-15T01:00:00.000Z	27 \| good	4.997 \| good	9.746 \| good	28.576 \| good	0.329 \| good	4.22 \| good	0.118 \| good
2026-05-15T02:00:00.000Z	27 \| good	3.849 \| good	7.471 \| good	28.629 \| good	0.274 \| good	3.083 \| good	0.115 \| good
2026-05-15T03:00:00.000Z	26 \| good	2.96 \| good	6.167 \| good	28.157 \| good	0.249 \| good	2.497 \| good	0.114 \| good
2026-05-15T04:00:00.000Z	25 \| good	2.578 \| good	5.555 \| good	27.389 \| good	0.239 \| good	2.369 \| good	0.114 \| good
2026-05-15T05:00:00.000Z	28 \| good	2.626 \| good	5.515 \| good	29.635 \| good	0.248 \| good	2.358 \| good	0.113 \| good
2026-05-15T06:00:00.000Z	29 \| good	2.688 \| good	5.95 \| good	31.399 \| good	0.273 \| good	3.071 \| good	0.116 \| good
2026-05-15T07:00:00.000Z	31 \| good	2.584 \| good	5.874 \| good	33.376 \| good	0.259 \| good	3.031 \| good	0.12 \| good
2026-05-15T08:00:00.000Z	33 \| good	2.384 \| good	5.763 \| good	36.401 \| good	0.222 \| good	2.362 \| good	0.118 \| good
2026-05-15T09:00:00.000Z	36 \| good	2.341 \| good	5.698 \| good	39.349 \| good	0.192 \| good	1.832 \| good	0.115 \| good
2026-05-15T10:00:00.000Z	39 \| good	2.28 \| good	5.735 \| good	41.757 \| good	0.182 \| good	1.567 \| good	0.113 \| good
2026-05-15T11:00:00.000Z	40 \| good	2.215 \| good	5.887 \| good	43.016 \| good	0.172 \| good	1.393 \| good	0.112 \| good
2026-05-15T12:00:00.000Z	41 \| good	2.279 \| good	5.869 \| good	43.513 \| good	0.167 \| good	1.393 \| good	0.111 \| good
2026-05-15T13:00:00.000Z	41 \| good	2.443 \| good	5.651 \| good	43.911 \| good	0.169 \| good	1.49 \| good	0.112 \| good
2026-05-15T14:00:00.000Z	41 \| good	2.564 \| good	5.747 \| good	43.818 \| good	0.172 \| good	1.455 \| good	0.112 \| good
2026-05-15T15:00:00.000Z	41 \| good	2.694 \| good	6.015 \| good	43.573 \| good	0.169 \| good	1.687 \| good	0.112 \| good
2026-05-15T16:00:00.000Z	40 \| good	2.934 \| good	6.444 \| good	43.327 \| good	0.174 \| good	2.02 \| good	0.114 \| good
2026-05-15T17:00:00.000Z	40 \| good	3.498 \| good	7.312 \| good	42.663 \| good	0.235 \| good	2.662 \| good	0.118 \| good
2026-05-15T18:00:00.000Z	38 \| good	4.035 \| good	8.171 \| good	40.915 \| good	0.303 \| good	3.531 \| good	0.121 \| good
2026-05-15T19:00:00.000Z	35 \| good	4.468 \| good	8.778 \| good	37.619 \| good	0.404 \| good	4.71 \| good	0.122 \| good
2026-05-15T20:00:00.000Z	32 \| good	4.998 \| good	9.867 \| good	35.414 \| good	0.473 \| good	5.836 \| good	0.125 \| good
2026-05-15T21:00:00.000Z	31 \| good	5.08 \| good	9.666 \| good	32.815 \| good	0.574 \| good	6.927 \| good	0.127 \| good
2026-05-15T22:00:00.000Z	33 \| good	5.861 \| good	9.484 \| good	28.798 \| good	0.585 \| good	7.436 \| good	0.13 \| good
2026-05-15T23:00:00.000Z	38 \| good	6.611 \| good	9.689 \| good	26.667 \| good	0.542 \| good	7.325 \| good	0.133 \| good
2026-05-16T00:00:00.000Z	38 \| good	6.78 \| good	9.861 \| good	25.585 \| good	0.453 \| good	7.572 \| good	0.134 \| good
2026-05-16T01:00:00.000Z	38 \| good	6.651 \| good	9.864 \| good	24.095 \| good	0.412 \| good	7.773 \| good	0.13 \| good
2026-05-16T02:00:00.000Z	38 \| good	6.649 \| good	9.859 \| good	24.43 \| good	0.397 \| good	6.95 \| good	0.127 \| good
2026-05-16T03:00:00.000Z	38 \| good	6.938 \| good	10.169 \| good	24.235 \| good	0.376 \| good	6.756 \| good	0.127 \| good
2026-05-16T04:00:00.000Z	38 \| good	6.931 \| good	10.607 \| good	24.653 \| good	0.386 \| good	6.465 \| good	0.127 \| good
2026-05-16T05:00:00.000Z	33 \| good	6.37 \| good	9.42 \| good	25.482 \| good	0.421 \| good	5.944 \| good	0.123 \| good
2026-05-16T06:00:00.000Z	27 \| good	4.944 \| good	8.08 \| good	27.66 \| good	0.42 \| good	5.3 \| good	0.124 \| good
2026-05-16T07:00:00.000Z	30 \| good	3.787 \| good	6.223 \| good	32.323 \| good	0.324 \| good	3.538 \| good	0.126 \| good
2026-05-16T08:00:00.000Z	34 \| good	2.924 \| good	5.535 \| good	36.526 \| good	0.249 \| good	2.598 \| good	0.122 \| good
2026-05-16T09:00:00.000Z	35 \| good	2.807 \| good	5.15 \| good	38.435 \| good	0.202 \| good	1.878 \| good	0.118 \| good
2026-05-16T10:00:00.000Z	37 \| good	2.826 \| good	4.966 \| good	39.539 \| good	0.184 \| good	1.64 \| good	0.117 \| good
2026-05-16T11:00:00.000Z	38 \| good	2.73 \| good	4.757 \| good	41.369 \| good	0.173 \| good	1.494 \| good	0.116 \| good
2026-05-16T12:00:00.000Z	39 \| good	2.769 \| good	4.921 \| good	42.49 \| good	0.156 \| good	1.516 \| good	0.115 \| good

Barnsley

Empower business decisions with accurate air quality data

Real-time air quality map: Monitor AQI near Barnsley, South Yorkshire

0.12ppm

How accurate is South Yorkshire, UK air quality data?

The air quality data for South Yorkshire, UK is gathered from reliable sources such as satellites and monitoring stations, adhering to US EPA guidelines. With the help of advanced algorithms and machine learning, factors like traffic and population density are analyzed to deliver accurate and dependable results.

Source: Ambee Data Sources

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

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Frequently asked questions

How frequently does the air quality data for Barnsley, South Yorkshire get updated?

Air quality updates for Barnsley, South Yorkshire are available every hour.

What time in the past 24 hours saw the poorest air quality in Barnsley, South Yorkshire?

Barnsley, South Yorkshire experienced its worst air quality at 06:00:00, 2026-05-13.

When was air quality in Barnsley, South Yorkshire the best over the past 24 hours?

The best air quality in Barnsley, South Yorkshire was observed at 04:00:00 on 2026-05-14.

What is the air quality in Barnsley, South Yorkshire right now?

The air quality in Barnsley, South Yorkshire right now is Good, with an AQI of 27.

What pollutant is most frequently found in Barnsley, South Yorkshire?

In Barnsley, South Yorkshire, O3 is the most frequently found pollutant.

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

When air quality in Barnsley, South Yorkshire is compromised, staying indoors and wearing a mask can reduce health risks.

What is the PM_2.5 concentration in Barnsley, South Yorkshire right now?

Barnsley, South Yorkshire currently has a PM_2.5 concentration of 3.102 μg/m³.

What is the current level of PM₁₀ in Barnsley, South Yorkshire?

Barnsley, South Yorkshire currently has a PM₁₀ concentration of 5.699 μg/m³.

What is the current level of carbon monoxide (CO) in Barnsley, South Yorkshire?

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

What is the current level of sulfur dioxide (SO₂) in Barnsley, South Yorkshire?

The current sulfur dioxide (SO₂) concentration in Barnsley, South Yorkshire is 0.407 ppb.

What is the current level of ozone (O₃) in Barnsley, South Yorkshire?

Barnsley, South Yorkshire currently has an ozone (O₃) concentration of 29.001 ppm.

What is the current level of nitrogen dioxide (NO₂) in Barnsley, South Yorkshire?

The current level of nitrogen dioxide (NO₂) in Barnsley, South Yorkshire is 2.486 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-05-12T14:00:00.000Z	33 \| good	6.151 \| good	21.382 \| good	30.118 \| good	0.539 \| good	4.911 \| good	0.111 \| good
2026-05-12T15:00:00.000Z	33 \| good	6.151 \| good	21.382 \| good	33.519 \| good	0.621 \| good	4.429 \| good	0.113 \| good
2026-05-12T16:00:00.000Z	33 \| good	6.151 \| good	21.445 \| good	35.022 \| good	0.475 \| good	5.145 \| good	0.117 \| good
2026-05-12T17:00:00.000Z	33 \| good	6.214 \| good	21.445 \| good	36.178 \| good	0.475 \| good	4.483 \| good	0.662 \| good
2026-05-12T18:00:00.000Z	35 \| good	6.214 \| good	21.445 \| good	37.545 \| good	0.465 \| good	5.466 \| good	0.662 \| good
2026-05-12T19:00:00.000Z	35 \| good	6.214 \| good	21.685 \| good	37.99 \| good	0.527 \| good	5.094 \| good	0.163 \| good
2026-05-12T20:00:00.000Z	36 \| good	6.214 \| good	21.685 \| good	38.734 \| good	0.44 \| good	5.108 \| good	0.155 \| good
2026-05-12T21:00:00.000Z	35 \| good	6.214 \| good	21.685 \| good	38.409 \| good	0.447 \| good	5.942 \| good	0.153 \| good
2026-05-12T22:00:00.000Z	34 \| good	6.214 \| good	21.685 \| good	37.429 \| good	0.44 \| good	6.744 \| good	0.153 \| good
2026-05-12T23:00:00.000Z	33 \| good	6.214 \| good	21.621 \| good	34.577 \| good	0.494 \| good	10.239 \| good	0.662 \| good
2026-05-13T00:00:00.000Z	33 \| good	5.711 \| good	19.401 \| good	34.642 \| good	0.742 \| good	16.266 \| good	0.132 \| good
2026-05-13T01:00:00.000Z	33 \| good	5.981 \| good	21.413 \| good	33.777 \| good	0.816 \| good	10.095 \| good	0.662 \| good
2026-05-13T02:00:00.000Z	33 \| good	5.981 \| good	21.243 \| good	33.25 \| good	0.826 \| good	6.152 \| good	0.662 \| good
2026-05-13T03:00:00.000Z	33 \| good	5.981 \| good	21.243 \| good	31.861 \| good	0.748 \| good	4.098 \| good	0.662 \| good
2026-05-13T04:00:00.000Z	33 \| good	5.981 \| good	21.243 \| good	30.509 \| good	0.785 \| good	3.158 \| good	0.662 \| good
2026-05-13T05:00:00.000Z	33 \| good	5.981 \| good	21.243 \| good	28.687 \| good	0.579 \| good	3.343 \| good	0.662 \| good
2026-05-13T06:00:00.000Z	33 \| good	5.981 \| good	21.243 \| good	27.704 \| good	0.556 \| good	5.755 \| good	0.662 \| good
2026-05-13T07:00:00.000Z	33 \| good	6.158 \| good	21.306 \| good	28.228 \| good	0.609 \| good	8.201 \| good	0.144 \| good
2026-05-13T08:00:00.000Z	27 \| good	5.478 \| good	19.231 \| good	27.545 \| good	0.606 \| good	8.342 \| good	0.662 \| good
2026-05-13T09:00:00.000Z	33 \| good	5.503 \| good	19.231 \| good	28.391 \| good	0.572 \| good	7.421 \| good	0.662 \| good
2026-05-13T10:00:00.000Z	33 \| good	6.006 \| good	21.01 \| good	27.958 \| good	0.571 \| good	9.447 \| good	0.125 \| good
2026-05-13T11:00:00.000Z	28 \| good	5.478 \| good	18.798 \| good	29.546 \| good	0.604 \| good	6.56 \| good	0.122 \| good
2026-05-13T12:00:00.000Z	27 \| good	5.478 \| good	18.734 \| good	28.908 \| good	0.62 \| good	4.817 \| good	0.115 \| good
2026-05-13T13:00:00.000Z	27 \| good	5.478 \| good	18.734 \| good	27.488 \| good	0.772 \| good	8.005 \| good	0.117 \| good
2026-05-13T14:00:00.000Z	29 \| good	5.478 \| good	18.501 \| good	31.009 \| good	0.825 \| good	6.975 \| good	0.118 \| good
2026-05-13T15:00:00.000Z	30 \| good	5.478 \| good	18.237 \| good	31.631 \| good	0.796 \| good	5.365 \| good	0.113 \| good
2026-05-13T16:00:00.000Z	29 \| good	5.182 \| good	18.004 \| good	31.012 \| good	0.793 \| good	8.232 \| good	0.117 \| good
2026-05-13T17:00:00.000Z	28 \| good	5.182 \| good	17.765 \| good	30.191 \| good	0.655 \| good	12.467 \| good	0.122 \| good
2026-05-13T18:00:00.000Z	28 \| good	4.981 \| good	17.507 \| good	29.533 \| good	0.721 \| good	11.018 \| good	0.139 \| good
2026-05-13T19:00:00.000Z	27 \| good	4.981 \| good	17.444 \| good	28.733 \| good	0.615 \| good	11.751 \| good	0.197 \| good
2026-05-13T20:00:00.000Z	26 \| good	4.478 \| good	14.753 \| good	27.797 \| good	0.614 \| good	10.718 \| good	0.211 \| good
2026-05-13T21:00:00.000Z	25 \| good	4.415 \| good	14.665 \| good	26.708 \| good	0.608 \| good	9.766 \| good	0.2 \| good
2026-05-13T22:00:00.000Z	23 \| good	4.415 \| good	14.432 \| good	24.921 \| good	0.633 \| good	11.554 \| good	0.216 \| good
2026-05-13T23:00:00.000Z	24 \| good	4.182 \| good	14.231 \| good	25.815 \| good	0.618 \| good	11.487 \| good	0.224 \| good
2026-05-14T00:00:00.000Z	24 \| good	4.158 \| good	14.231 \| good	25.794 \| good	0.616 \| good	10.892 \| good	0.205 \| good
2026-05-14T01:00:00.000Z	22 \| good	3.981 \| good	14.168 \| good	23.855 \| good	0.591 \| good	7.932 \| good	0.167 \| good
2026-05-14T02:00:00.000Z	22 \| good	3.981 \| good	13.759 \| good	22.868 \| good	0.593 \| good	4.749 \| good	0.167 \| good
2026-05-14T03:00:00.000Z	21 \| good	3.478 \| good	11.722 \| good	23.339 \| good	0.57 \| good	2.667 \| good	0.15 \| good
2026-05-14T04:00:00.000Z	22 \| good	3.478 \| good	11.722 \| good	24.079 \| good	0.518 \| good	2.147 \| good	0.158 \| good
2026-05-14T05:00:00.000Z	21 \| good	3.478 \| good	11.722 \| good	23.278 \| good	0.56 \| good	3.856 \| good	0.172 \| good
2026-05-14T06:00:00.000Z	22 \| good	3.478 \| good	11.684 \| good	23.653 \| good	0.624 \| good	5.933 \| good	0.208 \| good
2026-05-14T07:00:00.000Z	22 \| good	3.478 \| good	11.659 \| good	23.746 \| good	0.796 \| good	9.389 \| good	0.177 \| good
2026-05-14T08:00:00.000Z	21 \| good	3.478 \| good	11.722 \| good	23.148 \| good	0.763 \| good	11.429 \| good	0.157 \| good
2026-05-14T09:00:00.000Z	21 \| good	3.478 \| good	11.899 \| good	23.174 \| good	0.585 \| good	8.705 \| good	0.13 \| good
2026-05-14T10:00:00.000Z	24 \| good	3.655 \| good	11.923 \| good	25.559 \| good	0.653 \| good	10.533 \| good	0.118 \| good
2026-05-14T11:00:00.000Z	26 \| good	4.158 \| good	13.935 \| good	28.064 \| good	0.583 \| good	10.362 \| good	0.118 \| good
2026-05-14T12:00:00.000Z	26 \| good	4.158 \| good	13.935 \| good	28.217 \| good	0.583 \| good	6.626 \| good	0.108 \| good
2026-05-14T13:00:00.000Z	26 \| good	4.158 \| good	13.935 \| good	28.293 \| good	3.95 \| good	8.069 \| good	0.122 \| good
2026-05-14T13:00:00.000Z	28 \| good	3.102 \| good	5.699 \| good	29.932 \| good	0.75 \| good	2.194 \| good	0.122 \| good
2026-05-14T13:00:00.000Z	38 \| good	2.407 \| good	4.531 \| good	41.088 \| good	0.16 \| good	1.298 \| good	0.112 \| good
2026-05-14T14:00:00.000Z	37 \| good	2.492 \| good	4.142 \| good	40.16 \| good	0.164 \| good	1.653 \| good	0.114 \| good
2026-05-14T15:00:00.000Z	36 \| good	2.444 \| good	4.254 \| good	38.868 \| good	0.181 \| good	2.126 \| good	0.116 \| good
2026-05-14T16:00:00.000Z	36 \| good	2.597 \| good	4.096 \| good	38.637 \| good	0.188 \| good	2.424 \| good	0.117 \| good
2026-05-14T17:00:00.000Z	36 \| good	2.546 \| good	3.912 \| good	38.661 \| good	0.24 \| good	2.836 \| good	0.119 \| good
2026-05-14T18:00:00.000Z	35 \| good	2.785 \| good	3.847 \| good	38.048 \| good	0.251 \| good	3.531 \| good	0.122 \| good
2026-05-14T19:00:00.000Z	33 \| good	3.497 \| good	5.632 \| good	36.236 \| good	0.334 \| good	4.277 \| good	0.123 \| good
2026-05-14T20:00:00.000Z	30 \| good	4.621 \| good	8.402 \| good	32.423 \| good	0.456 \| good	5.106 \| good	0.125 \| good
2026-05-14T21:00:00.000Z	29 \| good	5.398 \| good	11.076 \| good	30.68 \| good	0.515 \| good	5.408 \| good	0.127 \| good
2026-05-14T22:00:00.000Z	33 \| good	6.088 \| good	11.925 \| good	29.508 \| good	0.507 \| good	5.5 \| good	0.128 \| good
2026-05-14T23:00:00.000Z	33 \| good	6.049 \| good	12.222 \| good	28.123 \| good	0.455 \| good	5.694 \| good	0.125 \| good
2026-05-15T00:00:00.000Z	33 \| good	5.629 \| good	12.01 \| good	27.886 \| good	0.404 \| good	5.354 \| good	0.122 \| good
2026-05-15T01:00:00.000Z	27 \| good	4.997 \| good	9.746 \| good	28.576 \| good	0.329 \| good	4.22 \| good	0.118 \| good
2026-05-15T02:00:00.000Z	27 \| good	3.849 \| good	7.471 \| good	28.629 \| good	0.274 \| good	3.083 \| good	0.115 \| good
2026-05-15T03:00:00.000Z	26 \| good	2.96 \| good	6.167 \| good	28.157 \| good	0.249 \| good	2.497 \| good	0.114 \| good
2026-05-15T04:00:00.000Z	25 \| good	2.578 \| good	5.555 \| good	27.389 \| good	0.239 \| good	2.369 \| good	0.114 \| good
2026-05-15T05:00:00.000Z	28 \| good	2.626 \| good	5.515 \| good	29.635 \| good	0.248 \| good	2.358 \| good	0.113 \| good
2026-05-15T06:00:00.000Z	29 \| good	2.688 \| good	5.95 \| good	31.399 \| good	0.273 \| good	3.071 \| good	0.116 \| good
2026-05-15T07:00:00.000Z	31 \| good	2.584 \| good	5.874 \| good	33.376 \| good	0.259 \| good	3.031 \| good	0.12 \| good
2026-05-15T08:00:00.000Z	33 \| good	2.384 \| good	5.763 \| good	36.401 \| good	0.222 \| good	2.362 \| good	0.118 \| good
2026-05-15T09:00:00.000Z	36 \| good	2.341 \| good	5.698 \| good	39.349 \| good	0.192 \| good	1.832 \| good	0.115 \| good
2026-05-15T10:00:00.000Z	39 \| good	2.28 \| good	5.735 \| good	41.757 \| good	0.182 \| good	1.567 \| good	0.113 \| good
2026-05-15T11:00:00.000Z	40 \| good	2.215 \| good	5.887 \| good	43.016 \| good	0.172 \| good	1.393 \| good	0.112 \| good
2026-05-15T12:00:00.000Z	41 \| good	2.279 \| good	5.869 \| good	43.513 \| good	0.167 \| good	1.393 \| good	0.111 \| good
2026-05-15T13:00:00.000Z	41 \| good	2.443 \| good	5.651 \| good	43.911 \| good	0.169 \| good	1.49 \| good	0.112 \| good
2026-05-15T14:00:00.000Z	41 \| good	2.564 \| good	5.747 \| good	43.818 \| good	0.172 \| good	1.455 \| good	0.112 \| good
2026-05-15T15:00:00.000Z	41 \| good	2.694 \| good	6.015 \| good	43.573 \| good	0.169 \| good	1.687 \| good	0.112 \| good
2026-05-15T16:00:00.000Z	40 \| good	2.934 \| good	6.444 \| good	43.327 \| good	0.174 \| good	2.02 \| good	0.114 \| good
2026-05-15T17:00:00.000Z	40 \| good	3.498 \| good	7.312 \| good	42.663 \| good	0.235 \| good	2.662 \| good	0.118 \| good
2026-05-15T18:00:00.000Z	38 \| good	4.035 \| good	8.171 \| good	40.915 \| good	0.303 \| good	3.531 \| good	0.121 \| good
2026-05-15T19:00:00.000Z	35 \| good	4.468 \| good	8.778 \| good	37.619 \| good	0.404 \| good	4.71 \| good	0.122 \| good
2026-05-15T20:00:00.000Z	32 \| good	4.998 \| good	9.867 \| good	35.414 \| good	0.473 \| good	5.836 \| good	0.125 \| good
2026-05-15T21:00:00.000Z	31 \| good	5.08 \| good	9.666 \| good	32.815 \| good	0.574 \| good	6.927 \| good	0.127 \| good
2026-05-15T22:00:00.000Z	33 \| good	5.861 \| good	9.484 \| good	28.798 \| good	0.585 \| good	7.436 \| good	0.13 \| good
2026-05-15T23:00:00.000Z	38 \| good	6.611 \| good	9.689 \| good	26.667 \| good	0.542 \| good	7.325 \| good	0.133 \| good
2026-05-16T00:00:00.000Z	38 \| good	6.78 \| good	9.861 \| good	25.585 \| good	0.453 \| good	7.572 \| good	0.134 \| good
2026-05-16T01:00:00.000Z	38 \| good	6.651 \| good	9.864 \| good	24.095 \| good	0.412 \| good	7.773 \| good	0.13 \| good
2026-05-16T02:00:00.000Z	38 \| good	6.649 \| good	9.859 \| good	24.43 \| good	0.397 \| good	6.95 \| good	0.127 \| good
2026-05-16T03:00:00.000Z	38 \| good	6.938 \| good	10.169 \| good	24.235 \| good	0.376 \| good	6.756 \| good	0.127 \| good
2026-05-16T04:00:00.000Z	38 \| good	6.931 \| good	10.607 \| good	24.653 \| good	0.386 \| good	6.465 \| good	0.127 \| good
2026-05-16T05:00:00.000Z	33 \| good	6.37 \| good	9.42 \| good	25.482 \| good	0.421 \| good	5.944 \| good	0.123 \| good
2026-05-16T06:00:00.000Z	27 \| good	4.944 \| good	8.08 \| good	27.66 \| good	0.42 \| good	5.3 \| good	0.124 \| good
2026-05-16T07:00:00.000Z	30 \| good	3.787 \| good	6.223 \| good	32.323 \| good	0.324 \| good	3.538 \| good	0.126 \| good
2026-05-16T08:00:00.000Z	34 \| good	2.924 \| good	5.535 \| good	36.526 \| good	0.249 \| good	2.598 \| good	0.122 \| good
2026-05-16T09:00:00.000Z	35 \| good	2.807 \| good	5.15 \| good	38.435 \| good	0.202 \| good	1.878 \| good	0.118 \| good
2026-05-16T10:00:00.000Z	37 \| good	2.826 \| good	4.966 \| good	39.539 \| good	0.184 \| good	1.64 \| good	0.117 \| good
2026-05-16T11:00:00.000Z	38 \| good	2.73 \| good	4.757 \| good	41.369 \| good	0.173 \| good	1.494 \| good	0.116 \| good
2026-05-16T12:00:00.000Z	39 \| good	2.769 \| good	4.921 \| good	42.49 \| good	0.156 \| good	1.516 \| good	0.115 \| good

Current air quality index in Barnsley, South Yorkshire today

Common air pollutants in Barnsley, South Yorkshire

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Barnsley, South Yorkshire air quality forecast and history

Empower business decisions with accurate air quality data

Real-time air quality map: Monitor AQI near Barnsley, South Yorkshire

Air quality in nearby cities

Darton, South Yorkshire

Cudworth, South Yorkshire

Royston, South Yorkshire

Wombwell, South Yorkshire

Hoyland, South Yorkshire

Chapeltown, South Yorkshire

How accurate is South Yorkshire, UK air quality data?

Air quality levels in UK

Frequently asked questions

How frequently does the air quality data for Barnsley, South Yorkshire get updated?

What time in the past 24 hours saw the poorest air quality in Barnsley, South Yorkshire?

When was air quality in Barnsley, South Yorkshire the best over the past 24 hours?

What is the air quality in Barnsley, South Yorkshire right now?

What pollutant is most frequently found in Barnsley, South Yorkshire?

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

What is the PM2.5 concentration in Barnsley, South Yorkshire right now?

What is the current level of PM10 in Barnsley, South Yorkshire?

What is the current level of carbon monoxide (CO) in Barnsley, South Yorkshire?

What is the current level of sulfur dioxide (SO2) in Barnsley, South Yorkshire?

What is the current level of ozone (O3) in Barnsley, South Yorkshire?

What is the current level of nitrogen dioxide (NO2) in Barnsley, South Yorkshire?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What is the PM_2.5 concentration in Barnsley, South Yorkshire right now?

What is the current level of PM₁₀ in Barnsley, South Yorkshire?

What is the current level of sulfur dioxide (SO₂) in Barnsley, South Yorkshire?

What is the current level of ozone (O₃) in Barnsley, South Yorkshire?

What is the current level of nitrogen dioxide (NO₂) in Barnsley, South Yorkshire?