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

Hoyland, South Yorkshire currently has a PM10 concentration of 10.532 μg/m3.

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

The current sulfur dioxide (SO2) concentration in Hoyland, South Yorkshire is 0.682 ppb.

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

Hoyland, South Yorkshire currently has an ozone (O3) concentration of 39.028 ppm.

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

The current level of nitrogen dioxide (NO2) in Hoyland, South Yorkshire is 3.658 ppb.

Current air quality index in Hoyland, South Yorkshire today

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

Hoyland, South Yorkshire currently has a PM2.5 concentration of 4.156 μg/m3.

Stay updated with real-time air quality in Hoyland, 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

Hoyland, South Yorkshire

Last updated: ... (Local time)

Common air pollutants in Hoyland, South 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)

10.53 μg/m³

155

255

425

605+

Ozone (O₃)

39.03 ppb

201

201+

Sulfur Dioxide (SO₂)

0.68 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

3.66 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.07 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

High

Hoyland, South Yorkshire

Get Live Pollen Counts

Hoyland, South Yorkshire

Scroll To Air Quality Map

Track live Hoyland, South Yorkshire air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-03-27T23:00:00.000Z	30 \| good	5.381 \| good	11.747 \| good	32.382 \| good	0.806 \| good	6.85 \| good	0.082 \| good
2026-03-28T00:00:00.000Z	31 \| good	4.866 \| good	15.877 \| good	33.638 \| good	0.592 \| good	7.943 \| good	0.273 \| good
2026-03-28T01:00:00.000Z	32 \| good	5.072 \| good	14.501 \| good	34.855 \| good	0.625 \| good	5.277 \| good	0.23 \| good
2026-03-28T02:00:00.000Z	34 \| good	5.034 \| good	14.54 \| good	37.027 \| good	0.648 \| good	4.448 \| good	0.217 \| good
2026-03-28T03:00:00.000Z	33 \| good	5.127 \| good	12.617 \| good	35.722 \| good	0.415 \| good	3.627 \| good	0.209 \| good
2026-03-28T04:00:00.000Z	33 \| good	5.738 \| good	13.518 \| good	36.29 \| good	0.45 \| good	2.117 \| good	0.204 \| good
2026-03-28T05:00:00.000Z	33 \| good	5.793 \| good	12.37 \| good	33.004 \| good	0.541 \| good	2.948 \| good	0.2 \| good
2026-03-28T06:00:00.000Z	33 \| good	6.241 \| good	17.871 \| good	36.043 \| good	0.452 \| good	1.623 \| good	0.198 \| good
2026-03-28T07:00:00.000Z	34 \| good	5.953 \| good	14.611 \| good	36.538 \| good	0.417 \| good	2.007 \| good	0.059 \| good
2026-03-28T08:00:00.000Z	33 \| good	6.425 \| good	17.552 \| good	35.702 \| good	0.508 \| good	2.547 \| good	0.067 \| good
2026-03-28T09:00:00.000Z	38 \| good	6.683 \| good	17.604 \| good	36.55 \| good	0.689 \| good	2.651 \| good	0.073 \| good
2026-03-28T10:00:00.000Z	38 \| good	6.668 \| good	20.214 \| good	36.482 \| good	0.494 \| good	3.859 \| good	0.08 \| good
2026-03-28T11:00:00.000Z	38 \| good	7.064 \| good	23.122 \| good	35.494 \| good	0.543 \| good	4.107 \| good	0.082 \| good
2026-03-28T12:00:00.000Z	38 \| good	7.194 \| good	18.031 \| good	36.66 \| good	0.572 \| good	4.002 \| good	0.078 \| good
2026-03-28T13:00:00.000Z	38 \| good	7.328 \| good	18.183 \| good	36.623 \| good	0.572 \| good	3.748 \| good	0.078 \| good
2026-03-28T14:00:00.000Z	38 \| good	7.387 \| good	21.217 \| good	38.925 \| good	0.571 \| good	5.018 \| good	0.075 \| good
2026-03-28T15:00:00.000Z	38 \| good	7.347 \| good	20.982 \| good	38.237 \| good	0.568 \| good	4.052 \| good	0.09 \| good
2026-03-28T16:00:00.000Z	38 \| good	7.224 \| good	19.509 \| good	37.44 \| good	0.57 \| good	4.237 \| good	0.078 \| good
2026-03-28T17:00:00.000Z	38 \| good	6.86 \| good	17.438 \| good	38.363 \| good	0.567 \| good	3.956 \| good	0.08 \| good
2026-03-28T18:00:00.000Z	38 \| good	6.607 \| good	20.504 \| good	39.243 \| good	0.601 \| good	4.197 \| good	0.078 \| good
2026-03-28T19:00:00.000Z	36 \| good	6.302 \| good	19.653 \| good	38.971 \| good	0.57 \| good	5.298 \| good	0.09 \| good
2026-03-28T20:00:00.000Z	36 \| good	6.317 \| good	16.012 \| good	38.791 \| good	0.783 \| good	5.149 \| good	0.092 \| good
2026-03-28T21:00:00.000Z	36 \| good	6.149 \| good	16.742 \| good	38.634 \| good	0.565 \| good	5.068 \| good	0.083 \| good
2026-03-28T22:00:00.000Z	35 \| good	6.136 \| good	18.677 \| good	38.454 \| good	0.599 \| good	6.396 \| good	0.086 \| good
2026-03-28T23:00:00.000Z	34 \| good	5.911 \| good	19.269 \| good	36.587 \| good	0.689 \| good	5.706 \| good	0.083 \| good
2026-03-29T00:00:00.000Z	33 \| good	5.91 \| good	17.201 \| good	35.52 \| good	0.651 \| good	6.572 \| good	0.266 \| good
2026-03-29T01:00:00.000Z	33 \| good	6.196 \| good	18.922 \| good	34.995 \| good	0.652 \| good	4.998 \| good	0.264 \| good
2026-03-29T02:00:00.000Z	33 \| good	5.68 \| good	16.277 \| good	34.243 \| good	0.562 \| good	5.068 \| good	0.247 \| good
2026-03-29T03:00:00.000Z	33 \| good	5.74 \| good	19.043 \| good	30.854 \| good	0.565 \| good	5.788 \| good	0.299 \| good
2026-03-29T04:00:00.000Z	33 \| good	5.64 \| good	16.548 \| good	32.918 \| good	0.501 \| good	5.23 \| good	0.285 \| good
2026-03-29T05:00:00.000Z	33 \| good	5.572 \| good	10.759 \| good	34.665 \| good	0.414 \| good	5.233 \| good	0.081 \| good
2026-03-29T06:00:00.000Z	33 \| good	5.734 \| good	20.686 \| good	32.544 \| good	0.491 \| good	7.092 \| good	0.078 \| good
2026-03-29T07:00:00.000Z	27 \| good	5.149 \| good	13.432 \| good	29.119 \| good	0.531 \| good	8.319 \| good	0.078 \| good
2026-03-29T08:00:00.000Z	27 \| good	4.913 \| good	18.941 \| good	24.918 \| good	0.611 \| good	6.373 \| good	0.084 \| good
2026-03-29T09:00:00.000Z	33 \| good	6.175 \| good	17.385 \| good	27.484 \| good	0.654 \| good	7.135 \| good	0.096 \| good
2026-03-29T10:00:00.000Z	27 \| good	5.465 \| good	14.428 \| good	26.578 \| good	0.424 \| good	7.249 \| good	0.092 \| good
2026-03-29T11:00:00.000Z	27 \| good	5.23 \| good	15.339 \| good	27.025 \| good	0.458 \| good	5.178 \| good	0.073 \| good
2026-03-29T12:00:00.000Z	29 \| good	5.456 \| good	14.16 \| good	31.017 \| good	0.601 \| good	4.593 \| good	0.071 \| good
2026-03-29T13:00:00.000Z	30 \| good	5.299 \| good	18.025 \| good	31.982 \| good	0.652 \| good	4.995 \| good	0.081 \| good
2026-03-29T14:00:00.000Z	28 \| good	5.154 \| good	15.039 \| good	29.827 \| good	0.569 \| good	4.392 \| good	0.076 \| good
2026-03-29T15:00:00.000Z	32 \| good	5.05 \| good	14.858 \| good	35.304 \| good	0.571 \| good	5.064 \| good	0.079 \| good
2026-03-29T16:00:00.000Z	34 \| good	4.681 \| good	12.816 \| good	36.982 \| good	0.644 \| good	6.508 \| good	0.079 \| good
2026-03-29T17:00:00.000Z	31 \| good	4.53 \| good	14.424 \| good	33.729 \| good	0.611 \| good	4.702 \| good	0.078 \| good
2026-03-29T18:00:00.000Z	33 \| good	4.56 \| good	14.304 \| good	35.883 \| good	0.644 \| good	4.067 \| good	0.076 \| good
2026-03-29T19:00:00.000Z	35 \| good	4.47 \| good	11.574 \| good	38.393 \| good	0.532 \| good	3.318 \| good	0.086 \| good
2026-03-29T20:00:00.000Z	32 \| good	4.417 \| good	12.21 \| good	34.911 \| good	0.727 \| good	3.1 \| good	0.11 \| good
2026-03-29T21:00:00.000Z	35 \| good	4.637 \| good	11.263 \| good	37.561 \| good	0.596 \| good	4.501 \| good	0.075 \| good
2026-03-29T22:00:00.000Z	36 \| good	4.156 \| good	10.532 \| good	39.028 \| good	0.682 \| good	3.658 \| good	0.074 \| good
2026-03-29T23:00:00.000Z	44 \| good	5.845 \| good	11.966 \| good	47.293 \| good	0.228 \| good	1.716 \| good	0.118 \| good
2026-03-30T00:00:00.000Z	44 \| good	5.881 \| good	11.83 \| good	46.885 \| good	0.219 \| good	1.592 \| good	0.119 \| good
2026-03-30T01:00:00.000Z	43 \| good	5.607 \| good	11.17 \| good	45.981 \| good	0.206 \| good	1.643 \| good	0.117 \| good
2026-03-30T02:00:00.000Z	42 \| good	5.241 \| good	11.212 \| good	45.28 \| good	0.204 \| good	1.466 \| good	0.117 \| good
2026-03-30T03:00:00.000Z	43 \| good	5.3 \| good	12.035 \| good	45.601 \| good	0.226 \| good	1.291 \| good	0.117 \| good
2026-03-30T04:00:00.000Z	43 \| good	5.077 \| good	12.3 \| good	46.132 \| good	0.231 \| good	1.21 \| good	0.116 \| good
2026-03-30T05:00:00.000Z	43 \| good	5.121 \| good	12.881 \| good	45.713 \| good	0.24 \| good	1.412 \| good	0.118 \| good
2026-03-30T06:00:00.000Z	42 \| good	5.304 \| good	12.509 \| good	44.971 \| good	0.279 \| good	1.869 \| good	0.12 \| good
2026-03-30T07:00:00.000Z	41 \| good	5.345 \| good	11.8 \| good	44.399 \| good	0.313 \| good	2.759 \| good	0.125 \| good
2026-03-30T08:00:00.000Z	42 \| good	4.93 \| good	10.767 \| good	45.106 \| good	0.325 \| good	2.669 \| good	0.127 \| good
2026-03-30T09:00:00.000Z	44 \| good	4.616 \| good	9.891 \| good	46.641 \| good	0.274 \| good	2.298 \| good	0.126 \| good
2026-03-30T10:00:00.000Z	44 \| good	4.542 \| good	10.002 \| good	47.368 \| good	0.228 \| good	1.708 \| good	0.125 \| good
2026-03-30T11:00:00.000Z	44 \| good	4.429 \| good	10.251 \| good	48.339 \| good	0.201 \| good	1.407 \| good	0.124 \| good
2026-03-30T12:00:00.000Z	46 \| good	4.236 \| good	10.729 \| good	49.542 \| good	0.19 \| good	1.268 \| good	0.123 \| good
2026-03-30T13:00:00.000Z	46 \| good	4.075 \| good	10.947 \| good	50.07 \| good	0.184 \| good	1.294 \| good	0.123 \| good
2026-03-30T14:00:00.000Z	47 \| good	3.991 \| good	10.759 \| good	51.043 \| good	0.187 \| good	1.238 \| good	0.123 \| good
2026-03-30T15:00:00.000Z	47 \| good	3.876 \| good	10.438 \| good	51.482 \| good	0.199 \| good	1.269 \| good	0.123 \| good
2026-03-30T16:00:00.000Z	48 \| good	3.877 \| good	10.151 \| good	51.702 \| good	0.218 \| good	1.499 \| good	0.124 \| good
2026-03-30T17:00:00.000Z	47 \| good	3.872 \| good	9.701 \| good	50.543 \| good	0.245 \| good	1.911 \| good	0.125 \| good
2026-03-30T18:00:00.000Z	45 \| good	4.301 \| good	9.905 \| good	49.306 \| good	0.275 \| good	2.611 \| good	0.128 \| good
2026-03-30T19:00:00.000Z	44 \| good	4.522 \| good	10.171 \| good	47.821 \| good	0.329 \| good	3.058 \| good	0.127 \| good
2026-03-30T20:00:00.000Z	43 \| good	4.583 \| good	10.507 \| good	46.294 \| good	0.378 \| good	3.063 \| good	0.124 \| good
2026-03-30T21:00:00.000Z	42 \| good	4.66 \| good	10.893 \| good	45.39 \| good	0.389 \| good	2.999 \| good	0.124 \| good
2026-03-30T22:00:00.000Z	41 \| good	4.729 \| good	11.219 \| good	43.919 \| good	0.41 \| good	3 \| good	0.124 \| good
2026-03-30T23:00:00.000Z	40 \| good	4.595 \| good	11.348 \| good	43.078 \| good	0.417 \| good	2.906 \| good	0.124 \| good
2026-03-31T00:00:00.000Z	39 \| good	4.69 \| good	11.622 \| good	41.942 \| good	0.375 \| good	2.755 \| good	0.124 \| good
2026-03-31T01:00:00.000Z	37 \| good	4.821 \| good	12.33 \| good	40.464 \| good	0.332 \| good	2.554 \| good	0.123 \| good
2026-03-31T02:00:00.000Z	38 \| good	5.051 \| good	13.093 \| good	40.57 \| good	0.291 \| good	2.018 \| good	0.123 \| good
2026-03-31T03:00:00.000Z	37 \| good	4.866 \| good	13.254 \| good	40.406 \| good	0.277 \| good	1.86 \| good	0.123 \| good
2026-03-31T04:00:00.000Z	36 \| good	4.727 \| good	9.808 \| good	38.784 \| good	0.276 \| good	2.069 \| good	0.124 \| good
2026-03-31T05:00:00.000Z	31 \| good	5.051 \| good	8.63 \| good	34.362 \| good	0.336 \| good	2.627 \| good	0.124 \| good
2026-03-31T06:00:00.000Z	29 \| good	5.427 \| good	8.479 \| good	30.957 \| good	0.356 \| good	3.93 \| good	0.126 \| good
2026-03-31T07:00:00.000Z	33 \| good	5.655 \| good	8.355 \| good	28.502 \| good	0.321 \| good	5.129 \| good	0.135 \| good
2026-03-31T08:00:00.000Z	27 \| good	5.343 \| good	7.526 \| good	28.341 \| good	0.361 \| good	5.508 \| good	0.133 \| good
2026-03-31T09:00:00.000Z	27 \| good	5.064 \| good	6.986 \| good	27.11 \| good	0.356 \| good	5.113 \| good	0.13 \| good
2026-03-31T10:00:00.000Z	27 \| good	5.025 \| good	6.874 \| good	26.721 \| good	0.351 \| good	5.056 \| good	0.127 \| good
2026-03-31T11:00:00.000Z	28 \| good	4.002 \| good	6.602 \| good	30.275 \| good	0.268 \| good	3.486 \| good	0.123 \| good
2026-03-31T12:00:00.000Z	29 \| good	3.434 \| good	5.773 \| good	30.913 \| good	0.224 \| good	2.824 \| good	0.117 \| good
2026-03-31T13:00:00.000Z	31 \| good	3.003 \| good	5.64 \| good	32.621 \| good	0.232 \| good	2.56 \| good	0.115 \| good
2026-03-31T14:00:00.000Z	31 \| good	3.23 \| good	5.777 \| good	34.054 \| good	0.232 \| good	2.058 \| good	0.114 \| good
2026-03-31T15:00:00.000Z	31 \| good	3.462 \| good	6.43 \| good	34.156 \| good	0.233 \| good	2.166 \| good	0.115 \| good
2026-03-31T16:00:00.000Z	31 \| good	3.675 \| good	6.428 \| good	33.571 \| good	0.267 \| good	2.944 \| good	0.119 \| good
2026-03-31T17:00:00.000Z	31 \| good	4.031 \| good	7.134 \| good	33.229 \| good	0.298 \| good	3.724 \| good	0.124 \| good
2026-03-31T18:00:00.000Z	30 \| good	4.927 \| good	7.619 \| good	31.963 \| good	0.369 \| good	5.099 \| good	0.127 \| good
2026-03-31T19:00:00.000Z	33 \| good	6.119 \| good	9.5 \| good	29.469 \| good	0.496 \| good	6.968 \| good	0.13 \| good
2026-03-31T20:00:00.000Z	38 \| good	6.9 \| good	9.758 \| good	27.635 \| good	0.572 \| good	6.932 \| good	0.129 \| good
2026-03-31T21:00:00.000Z	44 \| good	7.686 \| good	10.615 \| good	26.143 \| good	0.579 \| good	6.737 \| good	0.128 \| good
2026-03-31T22:00:00.000Z	49 \| good	8.528 \| good	11.362 \| good	26.585 \| good	0.585 \| good	7.19 \| good	0.129 \| good

Hoyland

Empower business decisions with accurate air quality data

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

0.07ppm

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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Frequently asked questions

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

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

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

Hoyland, South Yorkshire experienced its worst air quality at 09:00:00, 2026-03-29.

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

The best air quality in Hoyland, South Yorkshire was observed at 11:00:00 on 2026-03-29.

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

The air quality in Hoyland, South Yorkshire right now is Good, with an AQI of 36.

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

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

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

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

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

Hoyland, South Yorkshire currently has a PM_2.5 concentration of 4.156 μg/m³.

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

Hoyland, South Yorkshire currently has a PM₁₀ concentration of 10.532 μg/m³.

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

The current carbon monoxide (CO) level in Hoyland, South Yorkshire is 0.074 ppm.

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

The current sulfur dioxide (SO₂) concentration in Hoyland, South Yorkshire is 0.682 ppb.

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

Hoyland, South Yorkshire currently has an ozone (O₃) concentration of 39.028 ppm.

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

The current level of nitrogen dioxide (NO₂) in Hoyland, South Yorkshire is 3.658 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-03-27T23:00:00.000Z	30 \| good	5.381 \| good	11.747 \| good	32.382 \| good	0.806 \| good	6.85 \| good	0.082 \| good
2026-03-28T00:00:00.000Z	31 \| good	4.866 \| good	15.877 \| good	33.638 \| good	0.592 \| good	7.943 \| good	0.273 \| good
2026-03-28T01:00:00.000Z	32 \| good	5.072 \| good	14.501 \| good	34.855 \| good	0.625 \| good	5.277 \| good	0.23 \| good
2026-03-28T02:00:00.000Z	34 \| good	5.034 \| good	14.54 \| good	37.027 \| good	0.648 \| good	4.448 \| good	0.217 \| good
2026-03-28T03:00:00.000Z	33 \| good	5.127 \| good	12.617 \| good	35.722 \| good	0.415 \| good	3.627 \| good	0.209 \| good
2026-03-28T04:00:00.000Z	33 \| good	5.738 \| good	13.518 \| good	36.29 \| good	0.45 \| good	2.117 \| good	0.204 \| good
2026-03-28T05:00:00.000Z	33 \| good	5.793 \| good	12.37 \| good	33.004 \| good	0.541 \| good	2.948 \| good	0.2 \| good
2026-03-28T06:00:00.000Z	33 \| good	6.241 \| good	17.871 \| good	36.043 \| good	0.452 \| good	1.623 \| good	0.198 \| good
2026-03-28T07:00:00.000Z	34 \| good	5.953 \| good	14.611 \| good	36.538 \| good	0.417 \| good	2.007 \| good	0.059 \| good
2026-03-28T08:00:00.000Z	33 \| good	6.425 \| good	17.552 \| good	35.702 \| good	0.508 \| good	2.547 \| good	0.067 \| good
2026-03-28T09:00:00.000Z	38 \| good	6.683 \| good	17.604 \| good	36.55 \| good	0.689 \| good	2.651 \| good	0.073 \| good
2026-03-28T10:00:00.000Z	38 \| good	6.668 \| good	20.214 \| good	36.482 \| good	0.494 \| good	3.859 \| good	0.08 \| good
2026-03-28T11:00:00.000Z	38 \| good	7.064 \| good	23.122 \| good	35.494 \| good	0.543 \| good	4.107 \| good	0.082 \| good
2026-03-28T12:00:00.000Z	38 \| good	7.194 \| good	18.031 \| good	36.66 \| good	0.572 \| good	4.002 \| good	0.078 \| good
2026-03-28T13:00:00.000Z	38 \| good	7.328 \| good	18.183 \| good	36.623 \| good	0.572 \| good	3.748 \| good	0.078 \| good
2026-03-28T14:00:00.000Z	38 \| good	7.387 \| good	21.217 \| good	38.925 \| good	0.571 \| good	5.018 \| good	0.075 \| good
2026-03-28T15:00:00.000Z	38 \| good	7.347 \| good	20.982 \| good	38.237 \| good	0.568 \| good	4.052 \| good	0.09 \| good
2026-03-28T16:00:00.000Z	38 \| good	7.224 \| good	19.509 \| good	37.44 \| good	0.57 \| good	4.237 \| good	0.078 \| good
2026-03-28T17:00:00.000Z	38 \| good	6.86 \| good	17.438 \| good	38.363 \| good	0.567 \| good	3.956 \| good	0.08 \| good
2026-03-28T18:00:00.000Z	38 \| good	6.607 \| good	20.504 \| good	39.243 \| good	0.601 \| good	4.197 \| good	0.078 \| good
2026-03-28T19:00:00.000Z	36 \| good	6.302 \| good	19.653 \| good	38.971 \| good	0.57 \| good	5.298 \| good	0.09 \| good
2026-03-28T20:00:00.000Z	36 \| good	6.317 \| good	16.012 \| good	38.791 \| good	0.783 \| good	5.149 \| good	0.092 \| good
2026-03-28T21:00:00.000Z	36 \| good	6.149 \| good	16.742 \| good	38.634 \| good	0.565 \| good	5.068 \| good	0.083 \| good
2026-03-28T22:00:00.000Z	35 \| good	6.136 \| good	18.677 \| good	38.454 \| good	0.599 \| good	6.396 \| good	0.086 \| good
2026-03-28T23:00:00.000Z	34 \| good	5.911 \| good	19.269 \| good	36.587 \| good	0.689 \| good	5.706 \| good	0.083 \| good
2026-03-29T00:00:00.000Z	33 \| good	5.91 \| good	17.201 \| good	35.52 \| good	0.651 \| good	6.572 \| good	0.266 \| good
2026-03-29T01:00:00.000Z	33 \| good	6.196 \| good	18.922 \| good	34.995 \| good	0.652 \| good	4.998 \| good	0.264 \| good
2026-03-29T02:00:00.000Z	33 \| good	5.68 \| good	16.277 \| good	34.243 \| good	0.562 \| good	5.068 \| good	0.247 \| good
2026-03-29T03:00:00.000Z	33 \| good	5.74 \| good	19.043 \| good	30.854 \| good	0.565 \| good	5.788 \| good	0.299 \| good
2026-03-29T04:00:00.000Z	33 \| good	5.64 \| good	16.548 \| good	32.918 \| good	0.501 \| good	5.23 \| good	0.285 \| good
2026-03-29T05:00:00.000Z	33 \| good	5.572 \| good	10.759 \| good	34.665 \| good	0.414 \| good	5.233 \| good	0.081 \| good
2026-03-29T06:00:00.000Z	33 \| good	5.734 \| good	20.686 \| good	32.544 \| good	0.491 \| good	7.092 \| good	0.078 \| good
2026-03-29T07:00:00.000Z	27 \| good	5.149 \| good	13.432 \| good	29.119 \| good	0.531 \| good	8.319 \| good	0.078 \| good
2026-03-29T08:00:00.000Z	27 \| good	4.913 \| good	18.941 \| good	24.918 \| good	0.611 \| good	6.373 \| good	0.084 \| good
2026-03-29T09:00:00.000Z	33 \| good	6.175 \| good	17.385 \| good	27.484 \| good	0.654 \| good	7.135 \| good	0.096 \| good
2026-03-29T10:00:00.000Z	27 \| good	5.465 \| good	14.428 \| good	26.578 \| good	0.424 \| good	7.249 \| good	0.092 \| good
2026-03-29T11:00:00.000Z	27 \| good	5.23 \| good	15.339 \| good	27.025 \| good	0.458 \| good	5.178 \| good	0.073 \| good
2026-03-29T12:00:00.000Z	29 \| good	5.456 \| good	14.16 \| good	31.017 \| good	0.601 \| good	4.593 \| good	0.071 \| good
2026-03-29T13:00:00.000Z	30 \| good	5.299 \| good	18.025 \| good	31.982 \| good	0.652 \| good	4.995 \| good	0.081 \| good
2026-03-29T14:00:00.000Z	28 \| good	5.154 \| good	15.039 \| good	29.827 \| good	0.569 \| good	4.392 \| good	0.076 \| good
2026-03-29T15:00:00.000Z	32 \| good	5.05 \| good	14.858 \| good	35.304 \| good	0.571 \| good	5.064 \| good	0.079 \| good
2026-03-29T16:00:00.000Z	34 \| good	4.681 \| good	12.816 \| good	36.982 \| good	0.644 \| good	6.508 \| good	0.079 \| good
2026-03-29T17:00:00.000Z	31 \| good	4.53 \| good	14.424 \| good	33.729 \| good	0.611 \| good	4.702 \| good	0.078 \| good
2026-03-29T18:00:00.000Z	33 \| good	4.56 \| good	14.304 \| good	35.883 \| good	0.644 \| good	4.067 \| good	0.076 \| good
2026-03-29T19:00:00.000Z	35 \| good	4.47 \| good	11.574 \| good	38.393 \| good	0.532 \| good	3.318 \| good	0.086 \| good
2026-03-29T20:00:00.000Z	32 \| good	4.417 \| good	12.21 \| good	34.911 \| good	0.727 \| good	3.1 \| good	0.11 \| good
2026-03-29T21:00:00.000Z	35 \| good	4.637 \| good	11.263 \| good	37.561 \| good	0.596 \| good	4.501 \| good	0.075 \| good
2026-03-29T22:00:00.000Z	36 \| good	4.156 \| good	10.532 \| good	39.028 \| good	0.682 \| good	3.658 \| good	0.074 \| good
2026-03-29T23:00:00.000Z	44 \| good	5.845 \| good	11.966 \| good	47.293 \| good	0.228 \| good	1.716 \| good	0.118 \| good
2026-03-30T00:00:00.000Z	44 \| good	5.881 \| good	11.83 \| good	46.885 \| good	0.219 \| good	1.592 \| good	0.119 \| good
2026-03-30T01:00:00.000Z	43 \| good	5.607 \| good	11.17 \| good	45.981 \| good	0.206 \| good	1.643 \| good	0.117 \| good
2026-03-30T02:00:00.000Z	42 \| good	5.241 \| good	11.212 \| good	45.28 \| good	0.204 \| good	1.466 \| good	0.117 \| good
2026-03-30T03:00:00.000Z	43 \| good	5.3 \| good	12.035 \| good	45.601 \| good	0.226 \| good	1.291 \| good	0.117 \| good
2026-03-30T04:00:00.000Z	43 \| good	5.077 \| good	12.3 \| good	46.132 \| good	0.231 \| good	1.21 \| good	0.116 \| good
2026-03-30T05:00:00.000Z	43 \| good	5.121 \| good	12.881 \| good	45.713 \| good	0.24 \| good	1.412 \| good	0.118 \| good
2026-03-30T06:00:00.000Z	42 \| good	5.304 \| good	12.509 \| good	44.971 \| good	0.279 \| good	1.869 \| good	0.12 \| good
2026-03-30T07:00:00.000Z	41 \| good	5.345 \| good	11.8 \| good	44.399 \| good	0.313 \| good	2.759 \| good	0.125 \| good
2026-03-30T08:00:00.000Z	42 \| good	4.93 \| good	10.767 \| good	45.106 \| good	0.325 \| good	2.669 \| good	0.127 \| good
2026-03-30T09:00:00.000Z	44 \| good	4.616 \| good	9.891 \| good	46.641 \| good	0.274 \| good	2.298 \| good	0.126 \| good
2026-03-30T10:00:00.000Z	44 \| good	4.542 \| good	10.002 \| good	47.368 \| good	0.228 \| good	1.708 \| good	0.125 \| good
2026-03-30T11:00:00.000Z	44 \| good	4.429 \| good	10.251 \| good	48.339 \| good	0.201 \| good	1.407 \| good	0.124 \| good
2026-03-30T12:00:00.000Z	46 \| good	4.236 \| good	10.729 \| good	49.542 \| good	0.19 \| good	1.268 \| good	0.123 \| good
2026-03-30T13:00:00.000Z	46 \| good	4.075 \| good	10.947 \| good	50.07 \| good	0.184 \| good	1.294 \| good	0.123 \| good
2026-03-30T14:00:00.000Z	47 \| good	3.991 \| good	10.759 \| good	51.043 \| good	0.187 \| good	1.238 \| good	0.123 \| good
2026-03-30T15:00:00.000Z	47 \| good	3.876 \| good	10.438 \| good	51.482 \| good	0.199 \| good	1.269 \| good	0.123 \| good
2026-03-30T16:00:00.000Z	48 \| good	3.877 \| good	10.151 \| good	51.702 \| good	0.218 \| good	1.499 \| good	0.124 \| good
2026-03-30T17:00:00.000Z	47 \| good	3.872 \| good	9.701 \| good	50.543 \| good	0.245 \| good	1.911 \| good	0.125 \| good
2026-03-30T18:00:00.000Z	45 \| good	4.301 \| good	9.905 \| good	49.306 \| good	0.275 \| good	2.611 \| good	0.128 \| good
2026-03-30T19:00:00.000Z	44 \| good	4.522 \| good	10.171 \| good	47.821 \| good	0.329 \| good	3.058 \| good	0.127 \| good
2026-03-30T20:00:00.000Z	43 \| good	4.583 \| good	10.507 \| good	46.294 \| good	0.378 \| good	3.063 \| good	0.124 \| good
2026-03-30T21:00:00.000Z	42 \| good	4.66 \| good	10.893 \| good	45.39 \| good	0.389 \| good	2.999 \| good	0.124 \| good
2026-03-30T22:00:00.000Z	41 \| good	4.729 \| good	11.219 \| good	43.919 \| good	0.41 \| good	3 \| good	0.124 \| good
2026-03-30T23:00:00.000Z	40 \| good	4.595 \| good	11.348 \| good	43.078 \| good	0.417 \| good	2.906 \| good	0.124 \| good
2026-03-31T00:00:00.000Z	39 \| good	4.69 \| good	11.622 \| good	41.942 \| good	0.375 \| good	2.755 \| good	0.124 \| good
2026-03-31T01:00:00.000Z	37 \| good	4.821 \| good	12.33 \| good	40.464 \| good	0.332 \| good	2.554 \| good	0.123 \| good
2026-03-31T02:00:00.000Z	38 \| good	5.051 \| good	13.093 \| good	40.57 \| good	0.291 \| good	2.018 \| good	0.123 \| good
2026-03-31T03:00:00.000Z	37 \| good	4.866 \| good	13.254 \| good	40.406 \| good	0.277 \| good	1.86 \| good	0.123 \| good
2026-03-31T04:00:00.000Z	36 \| good	4.727 \| good	9.808 \| good	38.784 \| good	0.276 \| good	2.069 \| good	0.124 \| good
2026-03-31T05:00:00.000Z	31 \| good	5.051 \| good	8.63 \| good	34.362 \| good	0.336 \| good	2.627 \| good	0.124 \| good
2026-03-31T06:00:00.000Z	29 \| good	5.427 \| good	8.479 \| good	30.957 \| good	0.356 \| good	3.93 \| good	0.126 \| good
2026-03-31T07:00:00.000Z	33 \| good	5.655 \| good	8.355 \| good	28.502 \| good	0.321 \| good	5.129 \| good	0.135 \| good
2026-03-31T08:00:00.000Z	27 \| good	5.343 \| good	7.526 \| good	28.341 \| good	0.361 \| good	5.508 \| good	0.133 \| good
2026-03-31T09:00:00.000Z	27 \| good	5.064 \| good	6.986 \| good	27.11 \| good	0.356 \| good	5.113 \| good	0.13 \| good
2026-03-31T10:00:00.000Z	27 \| good	5.025 \| good	6.874 \| good	26.721 \| good	0.351 \| good	5.056 \| good	0.127 \| good
2026-03-31T11:00:00.000Z	28 \| good	4.002 \| good	6.602 \| good	30.275 \| good	0.268 \| good	3.486 \| good	0.123 \| good
2026-03-31T12:00:00.000Z	29 \| good	3.434 \| good	5.773 \| good	30.913 \| good	0.224 \| good	2.824 \| good	0.117 \| good
2026-03-31T13:00:00.000Z	31 \| good	3.003 \| good	5.64 \| good	32.621 \| good	0.232 \| good	2.56 \| good	0.115 \| good
2026-03-31T14:00:00.000Z	31 \| good	3.23 \| good	5.777 \| good	34.054 \| good	0.232 \| good	2.058 \| good	0.114 \| good
2026-03-31T15:00:00.000Z	31 \| good	3.462 \| good	6.43 \| good	34.156 \| good	0.233 \| good	2.166 \| good	0.115 \| good
2026-03-31T16:00:00.000Z	31 \| good	3.675 \| good	6.428 \| good	33.571 \| good	0.267 \| good	2.944 \| good	0.119 \| good
2026-03-31T17:00:00.000Z	31 \| good	4.031 \| good	7.134 \| good	33.229 \| good	0.298 \| good	3.724 \| good	0.124 \| good
2026-03-31T18:00:00.000Z	30 \| good	4.927 \| good	7.619 \| good	31.963 \| good	0.369 \| good	5.099 \| good	0.127 \| good
2026-03-31T19:00:00.000Z	33 \| good	6.119 \| good	9.5 \| good	29.469 \| good	0.496 \| good	6.968 \| good	0.13 \| good
2026-03-31T20:00:00.000Z	38 \| good	6.9 \| good	9.758 \| good	27.635 \| good	0.572 \| good	6.932 \| good	0.129 \| good
2026-03-31T21:00:00.000Z	44 \| good	7.686 \| good	10.615 \| good	26.143 \| good	0.579 \| good	6.737 \| good	0.128 \| good
2026-03-31T22:00:00.000Z	49 \| good	8.528 \| good	11.362 \| good	26.585 \| good	0.585 \| good	7.19 \| good	0.129 \| good

Current air quality index in Hoyland, South Yorkshire today

Common air pollutants in Hoyland, South Yorkshire

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Hoyland, South Yorkshire air quality forecast and history

Empower business decisions with accurate air quality data

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

Air quality in nearby cities

Wombwell, South Yorkshire

Chapeltown, South Yorkshire

Barnsley, South Yorkshire

WathuponDearne, South Yorkshire

Rawmarsh, South Yorkshire

Swinton, 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 Hoyland, South Yorkshire get updated?

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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