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

Hoyland, South Yorkshire currently has a PM10 concentration of 33.06 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 0.748 ppb.

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

Hoyland, South Yorkshire currently has an ozone (O3) concentration of 8.591 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 9.573 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 14.362 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)

Moderate

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)

14.63 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

33.06 μg/m³

155

255

425

605+

Ozone (O₃)

11.43 ppb

201

201+

Sulfur Dioxide (SO₂)

0.75 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

7.09 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.09 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

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
2025-11-06T08:00:00.000Z	79 \| moderate	24.165 \| fine	57.216 \| fine	4.337 \| good	1.138 \| good	11.684 \| good	0.093 \| good
2025-11-06T09:00:00.000Z	81 \| moderate	25.438 \| fine	60.385 \| fine	3.307 \| good	1.654 \| good	14.639 \| good	0.734 \| good
2025-11-06T10:00:00.000Z	82 \| moderate	26.399 \| fine	62.736 \| fine	1.782 \| good	2.14 \| good	14.953 \| good	0.078 \| good
2025-11-06T11:00:00.000Z	84 \| moderate	26.982 \| fine	64.36 \| fine	1.724 \| good	1.808 \| good	17.298 \| good	0.054 \| good
2025-11-06T12:00:00.000Z	84 \| moderate	27.41 \| fine	64.826 \| fine	2.795 \| good	1.381 \| good	15.497 \| good	0.039 \| good
2025-11-06T13:00:00.000Z	88 \| moderate	29.356 \| fine	73.275 \| fine	2.8 \| good	0.985 \| good	15.468 \| good	0.035 \| good
2025-11-06T14:00:00.000Z	90 \| moderate	29.617 \| fine	73.73 \| fine	3.857 \| good	1.112 \| good	15.626 \| good	0.036 \| good
2025-11-06T15:00:00.000Z	90 \| moderate	29.617 \| fine	74.002 \| fine	4.857 \| good	0.933 \| good	14.119 \| good	0.038 \| good
2025-11-06T16:00:00.000Z	90 \| moderate	30.045 \| fine	74.002 \| fine	5.753 \| good	0.794 \| good	15.415 \| good	0.05 \| good
2025-11-06T17:00:00.000Z	90 \| moderate	30.318 \| fine	75.52 \| fine	6.187 \| good	0.811 \| good	16.496 \| good	0.09 \| good
2025-11-06T18:00:00.000Z	90 \| moderate	30.356 \| fine	75.82 \| fine	7.442 \| good	0.541 \| good	21.309 \| good	0.089 \| good
2025-11-06T19:00:00.000Z	90 \| moderate	30.356 \| fine	75.82 \| fine	7.012 \| good	0.779 \| good	23.987 \| good	0.066 \| good
2025-11-06T20:00:00.000Z	90 \| moderate	30.045 \| fine	75.509 \| fine	6.036 \| good	0.837 \| good	23.345 \| good	0.074 \| good
2025-11-06T21:00:00.000Z	90 \| moderate	30.163 \| fine	75.615 \| fine	5.357 \| good	0.885 \| good	21.313 \| good	0.067 \| good
2025-11-06T22:00:00.000Z	88 \| moderate	28.89 \| fine	73.786 \| fine	5.038 \| good	0.864 \| good	18.432 \| good	0.083 \| good
2025-11-06T23:00:00.000Z	86 \| moderate	28.335 \| fine	71.607 \| fine	4.3 \| good	0.812 \| good	16.069 \| good	0.114 \| good
2025-11-07T00:00:00.000Z	84 \| moderate	27.245 \| fine	66.974 \| fine	3.489 \| good	0.812 \| good	15.117 \| good	0.552 \| good
2025-11-07T01:00:00.000Z	84 \| moderate	26.545 \| fine	65.184 \| fine	3.334 \| good	0.742 \| good	14.333 \| good	0.421 \| good
2025-11-07T02:00:00.000Z	82 \| moderate	26.272 \| fine	64.729 \| fine	3.993 \| good	0.674 \| good	13.03 \| good	0.389 \| good
2025-11-07T03:00:00.000Z	81 \| moderate	25.272 \| fine	63.105 \| fine	5.488 \| good	0.74 \| good	6.173 \| good	0.377 \| good
2025-11-07T04:00:00.000Z	79 \| moderate	24.311 \| fine	61.276 \| fine	7.73 \| good	0.744 \| good	4.866 \| good	0.338 \| good
2025-11-07T05:00:00.000Z	77 \| moderate	23.455 \| fine	59.187 \| fine	10.194 \| good	0.744 \| good	4.37 \| good	0.32 \| good
2025-11-07T06:00:00.000Z	75 \| moderate	22.221 \| fine	56.579 \| fine	12.396 \| good	0.735 \| good	4.971 \| good	0.038 \| good
2025-11-07T07:00:00.000Z	73 \| moderate	21.26 \| fine	53.682 \| good	14.112 \| good	0.732 \| good	9.049 \| good	0.05 \| good
2025-11-07T08:00:00.000Z	73 \| moderate	20.677 \| fine	52.32 \| good	14.82 \| good	0.733 \| good	12.361 \| good	0.048 \| good
2025-11-07T09:00:00.000Z	56 \| moderate	12.102 \| fine	15.194 \| good	10.529 \| good	0.759 \| good	16.308 \| good	0.155 \| good
2025-11-07T10:00:00.000Z	54 \| moderate	10.985 \| good	13.537 \| good	12.259 \| good	0.789 \| good	14.794 \| good	0.149 \| good
2025-11-07T11:00:00.000Z	58 \| moderate	12.528 \| fine	14.988 \| good	14.843 \| good	0.628 \| good	12.882 \| good	0.141 \| good
2025-11-07T12:00:00.000Z	56 \| moderate	11.587 \| good	13.862 \| good	14.853 \| good	0.56 \| good	11.312 \| good	0.137 \| good
2025-11-07T13:00:00.000Z	66 \| moderate	16.536 \| fine	41.61 \| good	14.395 \| good	0.684 \| good	13.043 \| good	0.055 \| good
2025-11-07T14:00:00.000Z	66 \| moderate	16.808 \| fine	41.455 \| good	13.308 \| good	0.677 \| good	12.304 \| good	0.063 \| good
2025-11-07T15:00:00.000Z	66 \| moderate	16.808 \| fine	41.183 \| good	13.296 \| good	0.677 \| good	14.51 \| good	0.063 \| good
2025-11-07T16:00:00.000Z	66 \| moderate	16.808 \| fine	40.883 \| good	13.029 \| good	0.686 \| good	14.522 \| good	0.067 \| good
2025-11-07T17:00:00.000Z	66 \| moderate	16.808 \| fine	40.883 \| good	12.924 \| good	0.721 \| good	17.39 \| good	0.075 \| good
2025-11-07T18:00:00.000Z	66 \| moderate	16.808 \| fine	40.466 \| good	12.444 \| good	0.656 \| good	19.322 \| good	0.081 \| good
2025-11-07T19:00:00.000Z	66 \| moderate	16.808 \| fine	40.194 \| good	11.147 \| good	0.661 \| good	20.775 \| good	0.116 \| good
2025-11-07T20:00:00.000Z	66 \| moderate	16.547 \| fine	39.777 \| good	9.421 \| good	0.669 \| good	22.273 \| good	0.096 \| good
2025-11-07T21:00:00.000Z	64 \| moderate	16.118 \| fine	37.62 \| good	8.491 \| good	0.671 \| good	20.265 \| good	0.1 \| good
2025-11-07T22:00:00.000Z	64 \| moderate	15.585 \| fine	36.931 \| good	7.7 \| good	0.729 \| good	16.998 \| good	0.116 \| good
2025-11-07T23:00:00.000Z	62 \| moderate	15.362 \| fine	35.696 \| good	7.951 \| good	0.739 \| good	16.644 \| good	0.163 \| good
2025-11-08T00:00:00.000Z	62 \| moderate	14.906 \| fine	34.306 \| good	7.597 \| good	0.731 \| good	14.863 \| good	0.866 \| good
2025-11-08T01:00:00.000Z	60 \| moderate	14.362 \| fine	33.216 \| good	8.133 \| good	0.683 \| good	13.786 \| good	0.407 \| good
2025-11-08T02:00:00.000Z	60 \| moderate	14.362 \| fine	33.06 \| good	8.907 \| good	0.678 \| good	12.332 \| good	0.303 \| good
2025-11-08T03:00:00.000Z	60 \| moderate	14.362 \| fine	33.06 \| good	8.591 \| good	0.748 \| good	9.573 \| good	0.278 \| good
2025-11-08T04:00:00.000Z	60 \| moderate	14.362 \| fine	33.06 \| good	11.689 \| good	0.522 \| good	7.944 \| good	0.248 \| good
2025-11-08T05:00:00.000Z	62 \| moderate	14.634 \| fine	32.799 \| good	11.854 \| good	0.747 \| good	7.673 \| good	0.272 \| good
2025-11-08T06:00:00.000Z	62 \| moderate	14.634 \| fine	33.06 \| good	11.429 \| good	0.746 \| good	7.087 \| good	0.092 \| good
2025-11-08T07:00:00.000Z	62 \| moderate	14.634 \| fine	33.06 \| good	11.429 \| good	0.746 \| good	7.087 \| good	0.092 \| good
2025-11-08T05:00:00.000Z	27 \| good	4.759 \| good	7.306 \| good	23.915 \| good	0.234 \| good	3.71 \| good	0.114 \| good
2025-11-08T06:00:00.000Z	27 \| good	4.519 \| good	6.778 \| good	25.422 \| good	0.283 \| good	3.531 \| good	0.113 \| good
2025-11-08T07:00:00.000Z	27 \| good	4.739 \| good	7.42 \| good	24.498 \| good	0.397 \| good	3.989 \| good	0.117 \| good
2025-11-08T08:00:00.000Z	27 \| good	5.153 \| good	7.754 \| good	24.048 \| good	0.439 \| good	5.213 \| good	0.124 \| good
2025-11-08T09:00:00.000Z	27 \| good	4.917 \| good	7.993 \| good	23.589 \| good	0.364 \| good	5.613 \| good	0.122 \| good
2025-11-08T10:00:00.000Z	24 \| good	3.994 \| good	8.482 \| good	26.27 \| good	0.336 \| good	4.087 \| good	0.119 \| good
2025-11-08T11:00:00.000Z	27 \| good	5.185 \| good	8.856 \| good	28.321 \| good	0.341 \| good	3.953 \| good	0.119 \| good
2025-11-08T12:00:00.000Z	28 \| good	5.18 \| good	8.858 \| good	29.661 \| good	0.367 \| good	3.89 \| good	0.121 \| good
2025-11-08T13:00:00.000Z	29 \| good	4.497 \| good	9.071 \| good	31.144 \| good	0.418 \| good	3.993 \| good	0.121 \| good
2025-11-08T14:00:00.000Z	29 \| good	4.592 \| good	9.096 \| good	31.409 \| good	0.489 \| good	4.861 \| good	0.124 \| good
2025-11-08T15:00:00.000Z	27 \| good	4.881 \| good	9.789 \| good	29.336 \| good	0.563 \| good	6.146 \| good	0.126 \| good
2025-11-08T16:00:00.000Z	33 \| good	6.198 \| good	13.295 \| good	25.21 \| good	0.659 \| good	7.923 \| good	0.133 \| good
2025-11-08T17:00:00.000Z	38 \| good	7.308 \| good	15.759 \| good	22.218 \| good	0.708 \| good	11.259 \| good	0.139 \| good
2025-11-08T18:00:00.000Z	49 \| good	8.881 \| good	15.478 \| good	18.715 \| good	0.731 \| good	14.087 \| good	0.147 \| good
2025-11-08T19:00:00.000Z	52 \| moderate	10.182 \| good	14.8 \| good	16.058 \| good	0.743 \| good	14.333 \| good	0.159 \| good
2025-11-08T20:00:00.000Z	52 \| moderate	10.474 \| good	15.05 \| good	15.404 \| good	0.696 \| good	13.561 \| good	0.154 \| good
2025-11-08T21:00:00.000Z	54 \| moderate	10.714 \| good	15.08 \| good	16.141 \| good	0.676 \| good	12.26 \| good	0.147 \| good
2025-11-08T22:00:00.000Z	52 \| moderate	10.401 \| good	14.126 \| good	18.005 \| good	0.645 \| good	9.737 \| good	0.142 \| good
2025-11-08T23:00:00.000Z	49 \| good	8.918 \| good	12.047 \| good	19.692 \| good	0.554 \| good	9.006 \| good	0.136 \| good
2025-11-09T00:00:00.000Z	38 \| good	7.32 \| good	10.967 \| good	20.948 \| good	0.411 \| good	7.823 \| good	0.131 \| good
2025-11-09T01:00:00.000Z	33 \| good	6.004 \| good	9.532 \| good	20.279 \| good	0.384 \| good	6.397 \| good	0.126 \| good
2025-11-09T02:00:00.000Z	33 \| good	5.778 \| good	8.853 \| good	20.864 \| good	0.369 \| good	6.345 \| good	0.122 \| good
2025-11-09T03:00:00.000Z	33 \| good	5.879 \| good	8.485 \| good	21.613 \| good	0.348 \| good	5.719 \| good	0.12 \| good
2025-11-09T04:00:00.000Z	33 \| good	5.946 \| good	8.138 \| good	22.392 \| good	0.315 \| good	5.354 \| good	0.118 \| good
2025-11-09T05:00:00.000Z	33 \| good	6.058 \| good	7.885 \| good	23.117 \| good	0.272 \| good	4.278 \| good	0.118 \| good
2025-11-09T06:00:00.000Z	33 \| good	6.129 \| good	7.934 \| good	23.418 \| good	0.316 \| good	4.326 \| good	0.122 \| good
2025-11-09T07:00:00.000Z	44 \| good	7.821 \| good	10.363 \| good	22.476 \| good	0.387 \| good	5.069 \| good	0.131 \| good
2025-11-09T08:00:00.000Z	44 \| good	7.788 \| good	10.308 \| good	22.669 \| good	0.425 \| good	5.788 \| good	0.133 \| good
2025-11-09T09:00:00.000Z	44 \| good	7.783 \| good	10.446 \| good	24.903 \| good	0.43 \| good	5.469 \| good	0.127 \| good
2025-11-09T10:00:00.000Z	33 \| good	6.095 \| good	9.321 \| good	26.171 \| good	0.387 \| good	4.547 \| good	0.123 \| good
2025-11-09T11:00:00.000Z	33 \| good	5.637 \| good	7.451 \| good	27.747 \| good	0.349 \| good	3.999 \| good	0.12 \| good
2025-11-09T12:00:00.000Z	27 \| good	5.143 \| good	7.731 \| good	27.911 \| good	0.338 \| good	4.263 \| good	0.121 \| good
2025-11-09T13:00:00.000Z	27 \| good	4.987 \| good	8.701 \| good	28.886 \| good	0.316 \| good	4.627 \| good	0.12 \| good
2025-11-09T14:00:00.000Z	27 \| good	4.689 \| good	8.537 \| good	29.355 \| good	0.321 \| good	4.623 \| good	0.119 \| good
2025-11-09T15:00:00.000Z	28 \| good	4.835 \| good	7.941 \| good	29.814 \| good	0.294 \| good	4.693 \| good	0.118 \| good
2025-11-09T16:00:00.000Z	28 \| good	4.74 \| good	7.448 \| good	29.946 \| good	0.305 \| good	5.006 \| good	0.118 \| good
2025-11-09T17:00:00.000Z	27 \| good	4.872 \| good	7.11 \| good	29.129 \| good	0.286 \| good	5.962 \| good	0.12 \| good
2025-11-09T18:00:00.000Z	27 \| good	5.113 \| good	7.398 \| good	27.888 \| good	0.348 \| good	6.934 \| good	0.123 \| good
2025-11-09T19:00:00.000Z	33 \| good	5.659 \| good	7.59 \| good	25.577 \| good	0.443 \| good	6.437 \| good	0.124 \| good
2025-11-09T20:00:00.000Z	33 \| good	6.089 \| good	7.325 \| good	25.532 \| good	0.471 \| good	6.604 \| good	0.122 \| good
2025-11-09T21:00:00.000Z	33 \| good	5.84 \| good	6.592 \| good	24.86 \| good	0.467 \| good	6.76 \| good	0.123 \| good
2025-11-09T22:00:00.000Z	33 \| good	5.923 \| good	6.657 \| good	25.97 \| good	0.399 \| good	6.829 \| good	0.124 \| good
2025-11-09T23:00:00.000Z	33 \| good	5.903 \| good	6.518 \| good	23.399 \| good	0.403 \| good	7.346 \| good	0.124 \| good
2025-11-10T00:00:00.000Z	33 \| good	5.776 \| good	6.394 \| good	22.779 \| good	0.374 \| good	6.701 \| good	0.122 \| good
2025-11-10T01:00:00.000Z	33 \| good	5.863 \| good	6.595 \| good	21.81 \| good	0.355 \| good	6.433 \| good	0.123 \| good
2025-11-10T02:00:00.000Z	33 \| good	6.02 \| good	6.887 \| good	20.812 \| good	0.335 \| good	6.302 \| good	0.122 \| good
2025-11-10T03:00:00.000Z	33 \| good	5.706 \| good	7.224 \| good	19.656 \| good	0.368 \| good	6.279 \| good	0.122 \| good
2025-11-10T04:00:00.000Z	33 \| good	5.611 \| good	7.21 \| good	17.143 \| good	0.362 \| good	6.437 \| good	0.122 \| good

Hoyland

Empower business decisions with accurate air quality data

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

0.28ppm

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 04:00:00, 2025-11-07.

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 12:00:00 on 2025-11-07.

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

The air quality in Hoyland, South Yorkshire right now is Moderate, with an AQI of 60.

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

In Hoyland, South Yorkshire, PM2.5 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 14.362 μg/m³.

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

Hoyland, South Yorkshire currently has a PM₁₀ concentration of 33.06 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 0.278 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 0.748 ppb.

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

Hoyland, South Yorkshire currently has an ozone (O₃) concentration of 8.591 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 9.573 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-11-06T08:00:00.000Z	79 \| moderate	24.165 \| fine	57.216 \| fine	4.337 \| good	1.138 \| good	11.684 \| good	0.093 \| good
2025-11-06T09:00:00.000Z	81 \| moderate	25.438 \| fine	60.385 \| fine	3.307 \| good	1.654 \| good	14.639 \| good	0.734 \| good
2025-11-06T10:00:00.000Z	82 \| moderate	26.399 \| fine	62.736 \| fine	1.782 \| good	2.14 \| good	14.953 \| good	0.078 \| good
2025-11-06T11:00:00.000Z	84 \| moderate	26.982 \| fine	64.36 \| fine	1.724 \| good	1.808 \| good	17.298 \| good	0.054 \| good
2025-11-06T12:00:00.000Z	84 \| moderate	27.41 \| fine	64.826 \| fine	2.795 \| good	1.381 \| good	15.497 \| good	0.039 \| good
2025-11-06T13:00:00.000Z	88 \| moderate	29.356 \| fine	73.275 \| fine	2.8 \| good	0.985 \| good	15.468 \| good	0.035 \| good
2025-11-06T14:00:00.000Z	90 \| moderate	29.617 \| fine	73.73 \| fine	3.857 \| good	1.112 \| good	15.626 \| good	0.036 \| good
2025-11-06T15:00:00.000Z	90 \| moderate	29.617 \| fine	74.002 \| fine	4.857 \| good	0.933 \| good	14.119 \| good	0.038 \| good
2025-11-06T16:00:00.000Z	90 \| moderate	30.045 \| fine	74.002 \| fine	5.753 \| good	0.794 \| good	15.415 \| good	0.05 \| good
2025-11-06T17:00:00.000Z	90 \| moderate	30.318 \| fine	75.52 \| fine	6.187 \| good	0.811 \| good	16.496 \| good	0.09 \| good
2025-11-06T18:00:00.000Z	90 \| moderate	30.356 \| fine	75.82 \| fine	7.442 \| good	0.541 \| good	21.309 \| good	0.089 \| good
2025-11-06T19:00:00.000Z	90 \| moderate	30.356 \| fine	75.82 \| fine	7.012 \| good	0.779 \| good	23.987 \| good	0.066 \| good
2025-11-06T20:00:00.000Z	90 \| moderate	30.045 \| fine	75.509 \| fine	6.036 \| good	0.837 \| good	23.345 \| good	0.074 \| good
2025-11-06T21:00:00.000Z	90 \| moderate	30.163 \| fine	75.615 \| fine	5.357 \| good	0.885 \| good	21.313 \| good	0.067 \| good
2025-11-06T22:00:00.000Z	88 \| moderate	28.89 \| fine	73.786 \| fine	5.038 \| good	0.864 \| good	18.432 \| good	0.083 \| good
2025-11-06T23:00:00.000Z	86 \| moderate	28.335 \| fine	71.607 \| fine	4.3 \| good	0.812 \| good	16.069 \| good	0.114 \| good
2025-11-07T00:00:00.000Z	84 \| moderate	27.245 \| fine	66.974 \| fine	3.489 \| good	0.812 \| good	15.117 \| good	0.552 \| good
2025-11-07T01:00:00.000Z	84 \| moderate	26.545 \| fine	65.184 \| fine	3.334 \| good	0.742 \| good	14.333 \| good	0.421 \| good
2025-11-07T02:00:00.000Z	82 \| moderate	26.272 \| fine	64.729 \| fine	3.993 \| good	0.674 \| good	13.03 \| good	0.389 \| good
2025-11-07T03:00:00.000Z	81 \| moderate	25.272 \| fine	63.105 \| fine	5.488 \| good	0.74 \| good	6.173 \| good	0.377 \| good
2025-11-07T04:00:00.000Z	79 \| moderate	24.311 \| fine	61.276 \| fine	7.73 \| good	0.744 \| good	4.866 \| good	0.338 \| good
2025-11-07T05:00:00.000Z	77 \| moderate	23.455 \| fine	59.187 \| fine	10.194 \| good	0.744 \| good	4.37 \| good	0.32 \| good
2025-11-07T06:00:00.000Z	75 \| moderate	22.221 \| fine	56.579 \| fine	12.396 \| good	0.735 \| good	4.971 \| good	0.038 \| good
2025-11-07T07:00:00.000Z	73 \| moderate	21.26 \| fine	53.682 \| good	14.112 \| good	0.732 \| good	9.049 \| good	0.05 \| good
2025-11-07T08:00:00.000Z	73 \| moderate	20.677 \| fine	52.32 \| good	14.82 \| good	0.733 \| good	12.361 \| good	0.048 \| good
2025-11-07T09:00:00.000Z	56 \| moderate	12.102 \| fine	15.194 \| good	10.529 \| good	0.759 \| good	16.308 \| good	0.155 \| good
2025-11-07T10:00:00.000Z	54 \| moderate	10.985 \| good	13.537 \| good	12.259 \| good	0.789 \| good	14.794 \| good	0.149 \| good
2025-11-07T11:00:00.000Z	58 \| moderate	12.528 \| fine	14.988 \| good	14.843 \| good	0.628 \| good	12.882 \| good	0.141 \| good
2025-11-07T12:00:00.000Z	56 \| moderate	11.587 \| good	13.862 \| good	14.853 \| good	0.56 \| good	11.312 \| good	0.137 \| good
2025-11-07T13:00:00.000Z	66 \| moderate	16.536 \| fine	41.61 \| good	14.395 \| good	0.684 \| good	13.043 \| good	0.055 \| good
2025-11-07T14:00:00.000Z	66 \| moderate	16.808 \| fine	41.455 \| good	13.308 \| good	0.677 \| good	12.304 \| good	0.063 \| good
2025-11-07T15:00:00.000Z	66 \| moderate	16.808 \| fine	41.183 \| good	13.296 \| good	0.677 \| good	14.51 \| good	0.063 \| good
2025-11-07T16:00:00.000Z	66 \| moderate	16.808 \| fine	40.883 \| good	13.029 \| good	0.686 \| good	14.522 \| good	0.067 \| good
2025-11-07T17:00:00.000Z	66 \| moderate	16.808 \| fine	40.883 \| good	12.924 \| good	0.721 \| good	17.39 \| good	0.075 \| good
2025-11-07T18:00:00.000Z	66 \| moderate	16.808 \| fine	40.466 \| good	12.444 \| good	0.656 \| good	19.322 \| good	0.081 \| good
2025-11-07T19:00:00.000Z	66 \| moderate	16.808 \| fine	40.194 \| good	11.147 \| good	0.661 \| good	20.775 \| good	0.116 \| good
2025-11-07T20:00:00.000Z	66 \| moderate	16.547 \| fine	39.777 \| good	9.421 \| good	0.669 \| good	22.273 \| good	0.096 \| good
2025-11-07T21:00:00.000Z	64 \| moderate	16.118 \| fine	37.62 \| good	8.491 \| good	0.671 \| good	20.265 \| good	0.1 \| good
2025-11-07T22:00:00.000Z	64 \| moderate	15.585 \| fine	36.931 \| good	7.7 \| good	0.729 \| good	16.998 \| good	0.116 \| good
2025-11-07T23:00:00.000Z	62 \| moderate	15.362 \| fine	35.696 \| good	7.951 \| good	0.739 \| good	16.644 \| good	0.163 \| good
2025-11-08T00:00:00.000Z	62 \| moderate	14.906 \| fine	34.306 \| good	7.597 \| good	0.731 \| good	14.863 \| good	0.866 \| good
2025-11-08T01:00:00.000Z	60 \| moderate	14.362 \| fine	33.216 \| good	8.133 \| good	0.683 \| good	13.786 \| good	0.407 \| good
2025-11-08T02:00:00.000Z	60 \| moderate	14.362 \| fine	33.06 \| good	8.907 \| good	0.678 \| good	12.332 \| good	0.303 \| good
2025-11-08T03:00:00.000Z	60 \| moderate	14.362 \| fine	33.06 \| good	8.591 \| good	0.748 \| good	9.573 \| good	0.278 \| good
2025-11-08T04:00:00.000Z	60 \| moderate	14.362 \| fine	33.06 \| good	11.689 \| good	0.522 \| good	7.944 \| good	0.248 \| good
2025-11-08T05:00:00.000Z	62 \| moderate	14.634 \| fine	32.799 \| good	11.854 \| good	0.747 \| good	7.673 \| good	0.272 \| good
2025-11-08T06:00:00.000Z	62 \| moderate	14.634 \| fine	33.06 \| good	11.429 \| good	0.746 \| good	7.087 \| good	0.092 \| good
2025-11-08T07:00:00.000Z	62 \| moderate	14.634 \| fine	33.06 \| good	11.429 \| good	0.746 \| good	7.087 \| good	0.092 \| good
2025-11-08T05:00:00.000Z	27 \| good	4.759 \| good	7.306 \| good	23.915 \| good	0.234 \| good	3.71 \| good	0.114 \| good
2025-11-08T06:00:00.000Z	27 \| good	4.519 \| good	6.778 \| good	25.422 \| good	0.283 \| good	3.531 \| good	0.113 \| good
2025-11-08T07:00:00.000Z	27 \| good	4.739 \| good	7.42 \| good	24.498 \| good	0.397 \| good	3.989 \| good	0.117 \| good
2025-11-08T08:00:00.000Z	27 \| good	5.153 \| good	7.754 \| good	24.048 \| good	0.439 \| good	5.213 \| good	0.124 \| good
2025-11-08T09:00:00.000Z	27 \| good	4.917 \| good	7.993 \| good	23.589 \| good	0.364 \| good	5.613 \| good	0.122 \| good
2025-11-08T10:00:00.000Z	24 \| good	3.994 \| good	8.482 \| good	26.27 \| good	0.336 \| good	4.087 \| good	0.119 \| good
2025-11-08T11:00:00.000Z	27 \| good	5.185 \| good	8.856 \| good	28.321 \| good	0.341 \| good	3.953 \| good	0.119 \| good
2025-11-08T12:00:00.000Z	28 \| good	5.18 \| good	8.858 \| good	29.661 \| good	0.367 \| good	3.89 \| good	0.121 \| good
2025-11-08T13:00:00.000Z	29 \| good	4.497 \| good	9.071 \| good	31.144 \| good	0.418 \| good	3.993 \| good	0.121 \| good
2025-11-08T14:00:00.000Z	29 \| good	4.592 \| good	9.096 \| good	31.409 \| good	0.489 \| good	4.861 \| good	0.124 \| good
2025-11-08T15:00:00.000Z	27 \| good	4.881 \| good	9.789 \| good	29.336 \| good	0.563 \| good	6.146 \| good	0.126 \| good
2025-11-08T16:00:00.000Z	33 \| good	6.198 \| good	13.295 \| good	25.21 \| good	0.659 \| good	7.923 \| good	0.133 \| good
2025-11-08T17:00:00.000Z	38 \| good	7.308 \| good	15.759 \| good	22.218 \| good	0.708 \| good	11.259 \| good	0.139 \| good
2025-11-08T18:00:00.000Z	49 \| good	8.881 \| good	15.478 \| good	18.715 \| good	0.731 \| good	14.087 \| good	0.147 \| good
2025-11-08T19:00:00.000Z	52 \| moderate	10.182 \| good	14.8 \| good	16.058 \| good	0.743 \| good	14.333 \| good	0.159 \| good
2025-11-08T20:00:00.000Z	52 \| moderate	10.474 \| good	15.05 \| good	15.404 \| good	0.696 \| good	13.561 \| good	0.154 \| good
2025-11-08T21:00:00.000Z	54 \| moderate	10.714 \| good	15.08 \| good	16.141 \| good	0.676 \| good	12.26 \| good	0.147 \| good
2025-11-08T22:00:00.000Z	52 \| moderate	10.401 \| good	14.126 \| good	18.005 \| good	0.645 \| good	9.737 \| good	0.142 \| good
2025-11-08T23:00:00.000Z	49 \| good	8.918 \| good	12.047 \| good	19.692 \| good	0.554 \| good	9.006 \| good	0.136 \| good
2025-11-09T00:00:00.000Z	38 \| good	7.32 \| good	10.967 \| good	20.948 \| good	0.411 \| good	7.823 \| good	0.131 \| good
2025-11-09T01:00:00.000Z	33 \| good	6.004 \| good	9.532 \| good	20.279 \| good	0.384 \| good	6.397 \| good	0.126 \| good
2025-11-09T02:00:00.000Z	33 \| good	5.778 \| good	8.853 \| good	20.864 \| good	0.369 \| good	6.345 \| good	0.122 \| good
2025-11-09T03:00:00.000Z	33 \| good	5.879 \| good	8.485 \| good	21.613 \| good	0.348 \| good	5.719 \| good	0.12 \| good
2025-11-09T04:00:00.000Z	33 \| good	5.946 \| good	8.138 \| good	22.392 \| good	0.315 \| good	5.354 \| good	0.118 \| good
2025-11-09T05:00:00.000Z	33 \| good	6.058 \| good	7.885 \| good	23.117 \| good	0.272 \| good	4.278 \| good	0.118 \| good
2025-11-09T06:00:00.000Z	33 \| good	6.129 \| good	7.934 \| good	23.418 \| good	0.316 \| good	4.326 \| good	0.122 \| good
2025-11-09T07:00:00.000Z	44 \| good	7.821 \| good	10.363 \| good	22.476 \| good	0.387 \| good	5.069 \| good	0.131 \| good
2025-11-09T08:00:00.000Z	44 \| good	7.788 \| good	10.308 \| good	22.669 \| good	0.425 \| good	5.788 \| good	0.133 \| good
2025-11-09T09:00:00.000Z	44 \| good	7.783 \| good	10.446 \| good	24.903 \| good	0.43 \| good	5.469 \| good	0.127 \| good
2025-11-09T10:00:00.000Z	33 \| good	6.095 \| good	9.321 \| good	26.171 \| good	0.387 \| good	4.547 \| good	0.123 \| good
2025-11-09T11:00:00.000Z	33 \| good	5.637 \| good	7.451 \| good	27.747 \| good	0.349 \| good	3.999 \| good	0.12 \| good
2025-11-09T12:00:00.000Z	27 \| good	5.143 \| good	7.731 \| good	27.911 \| good	0.338 \| good	4.263 \| good	0.121 \| good
2025-11-09T13:00:00.000Z	27 \| good	4.987 \| good	8.701 \| good	28.886 \| good	0.316 \| good	4.627 \| good	0.12 \| good
2025-11-09T14:00:00.000Z	27 \| good	4.689 \| good	8.537 \| good	29.355 \| good	0.321 \| good	4.623 \| good	0.119 \| good
2025-11-09T15:00:00.000Z	28 \| good	4.835 \| good	7.941 \| good	29.814 \| good	0.294 \| good	4.693 \| good	0.118 \| good
2025-11-09T16:00:00.000Z	28 \| good	4.74 \| good	7.448 \| good	29.946 \| good	0.305 \| good	5.006 \| good	0.118 \| good
2025-11-09T17:00:00.000Z	27 \| good	4.872 \| good	7.11 \| good	29.129 \| good	0.286 \| good	5.962 \| good	0.12 \| good
2025-11-09T18:00:00.000Z	27 \| good	5.113 \| good	7.398 \| good	27.888 \| good	0.348 \| good	6.934 \| good	0.123 \| good
2025-11-09T19:00:00.000Z	33 \| good	5.659 \| good	7.59 \| good	25.577 \| good	0.443 \| good	6.437 \| good	0.124 \| good
2025-11-09T20:00:00.000Z	33 \| good	6.089 \| good	7.325 \| good	25.532 \| good	0.471 \| good	6.604 \| good	0.122 \| good
2025-11-09T21:00:00.000Z	33 \| good	5.84 \| good	6.592 \| good	24.86 \| good	0.467 \| good	6.76 \| good	0.123 \| good
2025-11-09T22:00:00.000Z	33 \| good	5.923 \| good	6.657 \| good	25.97 \| good	0.399 \| good	6.829 \| good	0.124 \| good
2025-11-09T23:00:00.000Z	33 \| good	5.903 \| good	6.518 \| good	23.399 \| good	0.403 \| good	7.346 \| good	0.124 \| good
2025-11-10T00:00:00.000Z	33 \| good	5.776 \| good	6.394 \| good	22.779 \| good	0.374 \| good	6.701 \| good	0.122 \| good
2025-11-10T01:00:00.000Z	33 \| good	5.863 \| good	6.595 \| good	21.81 \| good	0.355 \| good	6.433 \| good	0.123 \| good
2025-11-10T02:00:00.000Z	33 \| good	6.02 \| good	6.887 \| good	20.812 \| good	0.335 \| good	6.302 \| good	0.122 \| good
2025-11-10T03:00:00.000Z	33 \| good	5.706 \| good	7.224 \| good	19.656 \| good	0.368 \| good	6.279 \| good	0.122 \| good
2025-11-10T04:00:00.000Z	33 \| good	5.611 \| good	7.21 \| good	17.143 \| good	0.362 \| good	6.437 \| good	0.122 \| 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?