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

The current PM10 levels in Swallownest, South Yorkshire are 28.417 μg/m3.

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

The current sulfur dioxide (SO2) levels in Swallownest, South Yorkshire are 0.746 ppb.

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

The current ozone (O3) levels at Swallownest, South Yorkshire is 8.288 ppm.

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

The current nitrogen dioxide (NO2) levels at Swallownest, South Yorkshire is 8.199 ppb.

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

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

The measured PM2.5 levels in Swallownest, South Yorkshire at present are 13.368 μg/m3.

Stay updated with real-time air quality in Swallownest, 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

Swallownest, South Yorkshire

Last updated: ... (Local time)

Common air pollutants in Swallownest, South Yorkshire

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

13.37 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

28.42 μg/m³

155

255

425

605+

Ozone (O₃)

11.49 ppb

201

201+

Sulfur Dioxide (SO₂)

0.74 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

6.43 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.09 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

Swallownest, South Yorkshire

Get Live Pollen Counts

Swallownest, South Yorkshire

Scroll To Air Quality Map

Track live Swallownest, South Yorkshire air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-11-06T07:00:00.000Z	69 \| moderate	19.256 \| fine	43.932 \| good	5.723 \| good	1.378 \| good	10.246 \| good	0.792 \| good
2025-11-06T08:00:00.000Z	71 \| moderate	20.126 \| fine	45.463 \| good	4.332 \| good	1.28 \| good	10.459 \| good	0.09 \| good
2025-11-06T09:00:00.000Z	73 \| moderate	21.31 \| fine	48.14 \| good	3.086 \| good	1.738 \| good	14.557 \| good	0.703 \| good
2025-11-06T10:00:00.000Z	75 \| moderate	22.168 \| fine	49.951 \| good	1.833 \| good	2.08 \| good	15.969 \| good	0.076 \| good
2025-11-06T11:00:00.000Z	75 \| moderate	22.494 \| fine	51.206 \| good	1.862 \| good	1.78 \| good	17.907 \| good	0.05 \| good
2025-11-06T12:00:00.000Z	77 \| moderate	22.779 \| fine	51.633 \| good	2.871 \| good	1.488 \| good	14.67 \| good	0.038 \| good
2025-11-06T13:00:00.000Z	79 \| moderate	24.025 \| fine	57.152 \| fine	3.107 \| good	0.928 \| good	13.927 \| good	0.034 \| good
2025-11-06T14:00:00.000Z	79 \| moderate	24.414 \| fine	57.838 \| fine	4.253 \| good	1.091 \| good	13.732 \| good	0.035 \| good
2025-11-06T15:00:00.000Z	79 \| moderate	24.414 \| fine	57.968 \| fine	5.479 \| good	0.992 \| good	12.25 \| good	0.037 \| good
2025-11-06T16:00:00.000Z	81 \| moderate	24.569 \| fine	57.968 \| fine	6.567 \| good	0.801 \| good	14.203 \| good	0.048 \| good
2025-11-06T17:00:00.000Z	81 \| moderate	24.883 \| fine	58.859 \| fine	7.115 \| good	0.816 \| good	16.196 \| good	0.087 \| good
2025-11-06T18:00:00.000Z	81 \| moderate	25.025 \| fine	59.52 \| fine	8.034 \| good	0.592 \| good	20.35 \| good	0.086 \| good
2025-11-06T19:00:00.000Z	81 \| moderate	25.155 \| fine	59.52 \| fine	7.744 \| good	0.78 \| good	21.232 \| good	0.064 \| good
2025-11-06T20:00:00.000Z	81 \| moderate	25.013 \| fine	59.508 \| fine	6.877 \| good	0.904 \| good	21.03 \| good	0.072 \| good
2025-11-06T21:00:00.000Z	81 \| moderate	24.894 \| fine	59.778 \| fine	5.665 \| good	0.94 \| good	20.024 \| good	0.066 \| good
2025-11-06T22:00:00.000Z	79 \| moderate	24.024 \| fine	58.745 \| fine	4.913 \| good	0.91 \| good	17.156 \| good	0.08 \| good
2025-11-06T23:00:00.000Z	79 \| moderate	24.359 \| fine	57.642 \| fine	3.662 \| good	0.835 \| good	14.964 \| good	0.11 \| good
2025-11-07T00:00:00.000Z	79 \| moderate	23.808 \| fine	54.828 \| good	2.444 \| good	0.837 \| good	14.178 \| good	0.552 \| good
2025-11-07T01:00:00.000Z	77 \| moderate	23.469 \| fine	53.938 \| good	2.166 \| good	0.734 \| good	13.306 \| good	0.418 \| good
2025-11-07T02:00:00.000Z	77 \| moderate	23.469 \| fine	53.122 \| good	2.972 \| good	0.649 \| good	12.614 \| good	0.389 \| good
2025-11-07T03:00:00.000Z	75 \| moderate	22.469 \| fine	51.867 \| good	4.637 \| good	0.753 \| good	5.668 \| good	0.374 \| good
2025-11-07T04:00:00.000Z	75 \| moderate	21.612 \| fine	50.704 \| good	6.845 \| good	0.741 \| good	5.66 \| good	0.333 \| good
2025-11-07T05:00:00.000Z	73 \| moderate	21.155 \| fine	49.282 \| good	9.449 \| good	0.741 \| good	4.956 \| good	0.316 \| good
2025-11-07T06:00:00.000Z	71 \| moderate	20.244 \| fine	47.525 \| good	11.5 \| good	0.724 \| good	5.182 \| good	0.037 \| good
2025-11-07T07:00:00.000Z	69 \| moderate	19.386 \| fine	45.216 \| good	13.499 \| good	0.721 \| good	8.615 \| good	0.049 \| good
2025-11-07T08:00:00.000Z	69 \| moderate	19.06 \| fine	44.48 \| good	14.6 \| good	0.72 \| good	11.137 \| good	0.046 \| good
2025-11-07T09:00:00.000Z	54 \| moderate	11.029 \| good	12.775 \| good	13.638 \| good	0.564 \| good	12.823 \| good	0.136 \| good
2025-11-07T10:00:00.000Z	52 \| moderate	10.182 \| good	11.499 \| good	12.732 \| good	0.602 \| good	11.706 \| good	0.139 \| good
2025-11-07T11:00:00.000Z	54 \| moderate	11.355 \| good	12.851 \| good	16.073 \| good	0.464 \| good	8.87 \| good	0.129 \| good
2025-11-07T12:00:00.000Z	56 \| moderate	11.614 \| good	13.055 \| good	15.293 \| good	0.416 \| good	9.278 \| good	0.13 \| good
2025-11-07T13:00:00.000Z	64 \| moderate	16.229 \| fine	36.572 \| good	15.398 \| good	0.65 \| good	10.882 \| good	0.054 \| good
2025-11-07T14:00:00.000Z	64 \| moderate	16.229 \| fine	36.418 \| good	14.416 \| good	0.645 \| good	10.957 \| good	0.061 \| good
2025-11-07T15:00:00.000Z	64 \| moderate	16.229 \| fine	36.418 \| good	14.35 \| good	0.647 \| good	13.572 \| good	0.061 \| good
2025-11-07T16:00:00.000Z	64 \| moderate	16.359 \| fine	35.886 \| good	14.315 \| good	0.661 \| good	13.626 \| good	0.065 \| good
2025-11-07T17:00:00.000Z	64 \| moderate	16.359 \| fine	35.886 \| good	13.639 \| good	0.707 \| good	16.469 \| good	0.073 \| good
2025-11-07T18:00:00.000Z	64 \| moderate	16.229 \| fine	35.343 \| good	12.544 \| good	0.627 \| good	17.713 \| good	0.079 \| good
2025-11-07T19:00:00.000Z	64 \| moderate	16.229 \| fine	35.213 \| good	10.851 \| good	0.629 \| good	19.278 \| good	0.113 \| good
2025-11-07T20:00:00.000Z	64 \| moderate	15.84 \| fine	34.539 \| good	9.156 \| good	0.638 \| good	21.333 \| good	0.094 \| good
2025-11-07T21:00:00.000Z	64 \| moderate	15.501 \| fine	32.657 \| good	8.113 \| good	0.641 \| good	18.862 \| good	0.097 \| good
2025-11-07T22:00:00.000Z	62 \| moderate	14.982 \| fine	32.114 \| good	7.212 \| good	0.72 \| good	16.319 \| good	0.113 \| good
2025-11-07T23:00:00.000Z	62 \| moderate	14.552 \| fine	30.705 \| good	7.215 \| good	0.734 \| good	14.763 \| good	0.158 \| good
2025-11-08T00:00:00.000Z	60 \| moderate	13.682 \| fine	29.437 \| good	7.019 \| good	0.721 \| good	13.782 \| good	0.865 \| good
2025-11-08T01:00:00.000Z	58 \| moderate	13.368 \| fine	28.571 \| good	7.875 \| good	0.654 \| good	12.656 \| good	0.406 \| good
2025-11-08T02:00:00.000Z	58 \| moderate	13.368 \| fine	28.417 \| good	8.595 \| good	0.646 \| good	10.865 \| good	0.302 \| good
2025-11-08T03:00:00.000Z	58 \| moderate	13.368 \| fine	28.417 \| good	8.288 \| good	0.746 \| good	8.199 \| good	0.274 \| good
2025-11-08T04:00:00.000Z	58 \| moderate	13.368 \| fine	28.417 \| good	11.522 \| good	0.591 \| good	6.025 \| good	0.25 \| good
2025-11-08T05:00:00.000Z	58 \| moderate	13.368 \| fine	28.028 \| good	11.756 \| good	0.745 \| good	6.626 \| good	0.273 \| good
2025-11-08T06:00:00.000Z	58 \| moderate	13.368 \| fine	28.417 \| good	11.494 \| good	0.744 \| good	6.431 \| good	0.091 \| good
2025-11-08T06:00:00.000Z	58 \| moderate	13.368 \| fine	28.417 \| good	11.494 \| good	0.744 \| good	6.431 \| good	0.091 \| good
2025-11-08T05:00:00.000Z	27 \| good	5.466 \| good	8.205 \| good	24.25 \| good	0.215 \| good	2.86 \| good	0.116 \| good
2025-11-08T06:00:00.000Z	27 \| good	4.933 \| good	7.85 \| good	25.721 \| good	0.261 \| good	2.571 \| good	0.114 \| good
2025-11-08T07:00:00.000Z	27 \| good	5.267 \| good	8.24 \| good	25.144 \| good	0.351 \| good	3.311 \| good	0.118 \| good
2025-11-08T08:00:00.000Z	33 \| good	5.816 \| good	8.627 \| good	24.479 \| good	0.422 \| good	4.301 \| good	0.122 \| good
2025-11-08T09:00:00.000Z	33 \| good	5.673 \| good	8.994 \| good	24.376 \| good	0.382 \| good	4.534 \| good	0.127 \| good
2025-11-08T10:00:00.000Z	24 \| good	4.295 \| good	8.806 \| good	25.976 \| good	0.366 \| good	4.15 \| good	0.121 \| good
2025-11-08T11:00:00.000Z	24 \| good	4.368 \| good	8.913 \| good	26.393 \| good	0.337 \| good	3.851 \| good	0.12 \| good
2025-11-08T12:00:00.000Z	27 \| good	5.089 \| good	8.342 \| good	27.568 \| good	0.324 \| good	3.788 \| good	0.121 \| good
2025-11-08T13:00:00.000Z	27 \| good	4.816 \| good	8.668 \| good	29.46 \| good	0.346 \| good	4.033 \| good	0.121 \| good
2025-11-08T14:00:00.000Z	28 \| good	4.618 \| good	9.199 \| good	29.693 \| good	0.373 \| good	4.532 \| good	0.123 \| good
2025-11-08T15:00:00.000Z	27 \| good	4.957 \| good	9.852 \| good	29.18 \| good	0.388 \| good	5.084 \| good	0.127 \| good
2025-11-08T16:00:00.000Z	33 \| good	6.274 \| good	11.698 \| good	27.082 \| good	0.449 \| good	6.657 \| good	0.131 \| good
2025-11-08T17:00:00.000Z	44 \| good	7.506 \| good	12.831 \| good	24.975 \| good	0.552 \| good	9.831 \| good	0.136 \| good
2025-11-08T18:00:00.000Z	49 \| good	9.134 \| good	14.582 \| good	19.563 \| good	0.691 \| good	12.545 \| good	0.15 \| good
2025-11-08T19:00:00.000Z	52 \| moderate	10.057 \| good	15.095 \| good	17.516 \| good	0.64 \| good	14.026 \| good	0.158 \| good
2025-11-08T20:00:00.000Z	54 \| moderate	10.579 \| good	15.651 \| good	15.391 \| good	0.662 \| good	13.915 \| good	0.157 \| good
2025-11-08T21:00:00.000Z	54 \| moderate	11.386 \| good	15.554 \| good	14.179 \| good	0.697 \| good	13.547 \| good	0.156 \| good
2025-11-08T22:00:00.000Z	52 \| moderate	10.436 \| good	14.464 \| good	16.197 \| good	0.736 \| good	11.423 \| good	0.154 \| good
2025-11-08T23:00:00.000Z	52 \| moderate	10.376 \| good	12.877 \| good	17.904 \| good	0.633 \| good	9.326 \| good	0.144 \| good
2025-11-09T00:00:00.000Z	52 \| moderate	10.247 \| good	12.641 \| good	16.73 \| good	0.501 \| good	8.279 \| good	0.143 \| good
2025-11-09T01:00:00.000Z	52 \| moderate	10.073 \| good	12.488 \| good	15.176 \| good	0.422 \| good	7.94 \| good	0.141 \| good
2025-11-09T02:00:00.000Z	49 \| good	9.137 \| good	10.974 \| good	17.27 \| good	0.38 \| good	6.832 \| good	0.134 \| good
2025-11-09T03:00:00.000Z	44 \| good	7.959 \| good	9.618 \| good	19.381 \| good	0.343 \| good	5.37 \| good	0.129 \| good
2025-11-09T04:00:00.000Z	44 \| good	7.817 \| good	9.466 \| good	19.871 \| good	0.273 \| good	4.744 \| good	0.124 \| good
2025-11-09T05:00:00.000Z	44 \| good	8.47 \| good	9.981 \| good	20.573 \| good	0.274 \| good	4.913 \| good	0.127 \| good
2025-11-09T06:00:00.000Z	49 \| good	8.912 \| good	11.134 \| good	20.35 \| good	0.325 \| good	5.585 \| good	0.131 \| good
2025-11-09T07:00:00.000Z	49 \| good	8.964 \| good	11.664 \| good	19.991 \| good	0.357 \| good	6.489 \| good	0.133 \| good
2025-11-09T08:00:00.000Z	49 \| good	8.692 \| good	10.696 \| good	20.481 \| good	0.445 \| good	6.794 \| good	0.134 \| good
2025-11-09T09:00:00.000Z	44 \| good	8.297 \| good	10.216 \| good	24.268 \| good	0.442 \| good	5.503 \| good	0.13 \| good
2025-11-09T10:00:00.000Z	33 \| good	6.441 \| good	9.145 \| good	25.525 \| good	0.393 \| good	4.668 \| good	0.124 \| good
2025-11-09T11:00:00.000Z	33 \| good	5.535 \| good	9.09 \| good	26.139 \| good	0.348 \| good	4.179 \| good	0.122 \| good
2025-11-09T12:00:00.000Z	27 \| good	5.354 \| good	8.734 \| good	27.823 \| good	0.321 \| good	3.837 \| good	0.121 \| good
2025-11-09T13:00:00.000Z	27 \| good	5.041 \| good	8.947 \| good	28.898 \| good	0.306 \| good	3.937 \| good	0.119 \| good
2025-11-09T14:00:00.000Z	27 \| good	4.952 \| good	8.419 \| good	28.887 \| good	0.283 \| good	4.246 \| good	0.118 \| good
2025-11-09T15:00:00.000Z	28 \| good	4.947 \| good	7.867 \| good	29.56 \| good	0.26 \| good	4.538 \| good	0.117 \| good
2025-11-09T16:00:00.000Z	28 \| good	4.792 \| good	7.357 \| good	29.599 \| good	0.294 \| good	5.202 \| good	0.119 \| good
2025-11-09T17:00:00.000Z	28 \| good	4.978 \| good	7.341 \| good	29.639 \| good	0.272 \| good	5.636 \| good	0.121 \| good
2025-11-09T18:00:00.000Z	27 \| good	5.426 \| good	8.253 \| good	27.771 \| good	0.392 \| good	5.856 \| good	0.124 \| good
2025-11-09T19:00:00.000Z	33 \| good	5.919 \| good	7.88 \| good	27.15 \| good	0.421 \| good	5.836 \| good	0.124 \| good
2025-11-09T20:00:00.000Z	33 \| good	6.002 \| good	7.185 \| good	26.021 \| good	0.447 \| good	5.757 \| good	0.122 \| good
2025-11-09T21:00:00.000Z	33 \| good	5.646 \| good	6.572 \| good	26.422 \| good	0.397 \| good	5.719 \| good	0.122 \| good
2025-11-09T22:00:00.000Z	33 \| good	5.745 \| good	6.265 \| good	27.251 \| good	0.325 \| good	5.722 \| good	0.123 \| good
2025-11-09T23:00:00.000Z	27 \| good	5.343 \| good	6.091 \| good	23.751 \| good	0.346 \| good	5.234 \| good	0.123 \| good
2025-11-10T00:00:00.000Z	27 \| good	5.142 \| good	6.083 \| good	25.641 \| good	0.276 \| good	4.88 \| good	0.122 \| good
2025-11-10T01:00:00.000Z	27 \| good	4.96 \| good	5.939 \| good	25.757 \| good	0.237 \| good	4.66 \| good	0.12 \| good
2025-11-10T02:00:00.000Z	27 \| good	4.589 \| good	5.63 \| good	26.213 \| good	0.215 \| good	4.19 \| good	0.119 \| good
2025-11-10T03:00:00.000Z	23 \| good	4.486 \| good	5.588 \| good	24.95 \| good	0.219 \| good	4.118 \| good	0.118 \| good
2025-11-10T04:00:00.000Z	22 \| good	4.213 \| good	5.228 \| good	23.862 \| good	0.236 \| good	4.152 \| good	0.116 \| good

Swallownest

Empower business decisions with accurate air quality data

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

0.26ppm

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

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Frequently asked questions

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

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

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

The worst air quality in Swallownest, South Yorkshire was recorded at 04:00:00 on 2025-11-07.

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

The best air quality in Swallownest, South Yorkshire was recorded at 10:00:00 on 2025-11-07.

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

The real-time air quality index in Swallownest, South Yorkshire is 58, currently categorized as Moderate.

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

The most common pollutant in Swallownest, South Yorkshire is PM2.5.

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

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

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

The measured PM_2.5 levels in Swallownest, South Yorkshire at present are 13.368 μg/m³.

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

The current PM₁₀ levels in Swallownest, South Yorkshire are 28.417 μg/m³.

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

The current carbon monoxide (CO) level in Swallownest, South Yorkshire is 0.274 ppm.

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

The current sulfur dioxide (SO₂) levels in Swallownest, South Yorkshire are 0.746 ppb.

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

The current ozone (O₃) levels at Swallownest, South Yorkshire is 8.288 ppm.

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

The current nitrogen dioxide (NO₂) levels at Swallownest, South Yorkshire is 8.199 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-11-06T07:00:00.000Z	69 \| moderate	19.256 \| fine	43.932 \| good	5.723 \| good	1.378 \| good	10.246 \| good	0.792 \| good
2025-11-06T08:00:00.000Z	71 \| moderate	20.126 \| fine	45.463 \| good	4.332 \| good	1.28 \| good	10.459 \| good	0.09 \| good
2025-11-06T09:00:00.000Z	73 \| moderate	21.31 \| fine	48.14 \| good	3.086 \| good	1.738 \| good	14.557 \| good	0.703 \| good
2025-11-06T10:00:00.000Z	75 \| moderate	22.168 \| fine	49.951 \| good	1.833 \| good	2.08 \| good	15.969 \| good	0.076 \| good
2025-11-06T11:00:00.000Z	75 \| moderate	22.494 \| fine	51.206 \| good	1.862 \| good	1.78 \| good	17.907 \| good	0.05 \| good
2025-11-06T12:00:00.000Z	77 \| moderate	22.779 \| fine	51.633 \| good	2.871 \| good	1.488 \| good	14.67 \| good	0.038 \| good
2025-11-06T13:00:00.000Z	79 \| moderate	24.025 \| fine	57.152 \| fine	3.107 \| good	0.928 \| good	13.927 \| good	0.034 \| good
2025-11-06T14:00:00.000Z	79 \| moderate	24.414 \| fine	57.838 \| fine	4.253 \| good	1.091 \| good	13.732 \| good	0.035 \| good
2025-11-06T15:00:00.000Z	79 \| moderate	24.414 \| fine	57.968 \| fine	5.479 \| good	0.992 \| good	12.25 \| good	0.037 \| good
2025-11-06T16:00:00.000Z	81 \| moderate	24.569 \| fine	57.968 \| fine	6.567 \| good	0.801 \| good	14.203 \| good	0.048 \| good
2025-11-06T17:00:00.000Z	81 \| moderate	24.883 \| fine	58.859 \| fine	7.115 \| good	0.816 \| good	16.196 \| good	0.087 \| good
2025-11-06T18:00:00.000Z	81 \| moderate	25.025 \| fine	59.52 \| fine	8.034 \| good	0.592 \| good	20.35 \| good	0.086 \| good
2025-11-06T19:00:00.000Z	81 \| moderate	25.155 \| fine	59.52 \| fine	7.744 \| good	0.78 \| good	21.232 \| good	0.064 \| good
2025-11-06T20:00:00.000Z	81 \| moderate	25.013 \| fine	59.508 \| fine	6.877 \| good	0.904 \| good	21.03 \| good	0.072 \| good
2025-11-06T21:00:00.000Z	81 \| moderate	24.894 \| fine	59.778 \| fine	5.665 \| good	0.94 \| good	20.024 \| good	0.066 \| good
2025-11-06T22:00:00.000Z	79 \| moderate	24.024 \| fine	58.745 \| fine	4.913 \| good	0.91 \| good	17.156 \| good	0.08 \| good
2025-11-06T23:00:00.000Z	79 \| moderate	24.359 \| fine	57.642 \| fine	3.662 \| good	0.835 \| good	14.964 \| good	0.11 \| good
2025-11-07T00:00:00.000Z	79 \| moderate	23.808 \| fine	54.828 \| good	2.444 \| good	0.837 \| good	14.178 \| good	0.552 \| good
2025-11-07T01:00:00.000Z	77 \| moderate	23.469 \| fine	53.938 \| good	2.166 \| good	0.734 \| good	13.306 \| good	0.418 \| good
2025-11-07T02:00:00.000Z	77 \| moderate	23.469 \| fine	53.122 \| good	2.972 \| good	0.649 \| good	12.614 \| good	0.389 \| good
2025-11-07T03:00:00.000Z	75 \| moderate	22.469 \| fine	51.867 \| good	4.637 \| good	0.753 \| good	5.668 \| good	0.374 \| good
2025-11-07T04:00:00.000Z	75 \| moderate	21.612 \| fine	50.704 \| good	6.845 \| good	0.741 \| good	5.66 \| good	0.333 \| good
2025-11-07T05:00:00.000Z	73 \| moderate	21.155 \| fine	49.282 \| good	9.449 \| good	0.741 \| good	4.956 \| good	0.316 \| good
2025-11-07T06:00:00.000Z	71 \| moderate	20.244 \| fine	47.525 \| good	11.5 \| good	0.724 \| good	5.182 \| good	0.037 \| good
2025-11-07T07:00:00.000Z	69 \| moderate	19.386 \| fine	45.216 \| good	13.499 \| good	0.721 \| good	8.615 \| good	0.049 \| good
2025-11-07T08:00:00.000Z	69 \| moderate	19.06 \| fine	44.48 \| good	14.6 \| good	0.72 \| good	11.137 \| good	0.046 \| good
2025-11-07T09:00:00.000Z	54 \| moderate	11.029 \| good	12.775 \| good	13.638 \| good	0.564 \| good	12.823 \| good	0.136 \| good
2025-11-07T10:00:00.000Z	52 \| moderate	10.182 \| good	11.499 \| good	12.732 \| good	0.602 \| good	11.706 \| good	0.139 \| good
2025-11-07T11:00:00.000Z	54 \| moderate	11.355 \| good	12.851 \| good	16.073 \| good	0.464 \| good	8.87 \| good	0.129 \| good
2025-11-07T12:00:00.000Z	56 \| moderate	11.614 \| good	13.055 \| good	15.293 \| good	0.416 \| good	9.278 \| good	0.13 \| good
2025-11-07T13:00:00.000Z	64 \| moderate	16.229 \| fine	36.572 \| good	15.398 \| good	0.65 \| good	10.882 \| good	0.054 \| good
2025-11-07T14:00:00.000Z	64 \| moderate	16.229 \| fine	36.418 \| good	14.416 \| good	0.645 \| good	10.957 \| good	0.061 \| good
2025-11-07T15:00:00.000Z	64 \| moderate	16.229 \| fine	36.418 \| good	14.35 \| good	0.647 \| good	13.572 \| good	0.061 \| good
2025-11-07T16:00:00.000Z	64 \| moderate	16.359 \| fine	35.886 \| good	14.315 \| good	0.661 \| good	13.626 \| good	0.065 \| good
2025-11-07T17:00:00.000Z	64 \| moderate	16.359 \| fine	35.886 \| good	13.639 \| good	0.707 \| good	16.469 \| good	0.073 \| good
2025-11-07T18:00:00.000Z	64 \| moderate	16.229 \| fine	35.343 \| good	12.544 \| good	0.627 \| good	17.713 \| good	0.079 \| good
2025-11-07T19:00:00.000Z	64 \| moderate	16.229 \| fine	35.213 \| good	10.851 \| good	0.629 \| good	19.278 \| good	0.113 \| good
2025-11-07T20:00:00.000Z	64 \| moderate	15.84 \| fine	34.539 \| good	9.156 \| good	0.638 \| good	21.333 \| good	0.094 \| good
2025-11-07T21:00:00.000Z	64 \| moderate	15.501 \| fine	32.657 \| good	8.113 \| good	0.641 \| good	18.862 \| good	0.097 \| good
2025-11-07T22:00:00.000Z	62 \| moderate	14.982 \| fine	32.114 \| good	7.212 \| good	0.72 \| good	16.319 \| good	0.113 \| good
2025-11-07T23:00:00.000Z	62 \| moderate	14.552 \| fine	30.705 \| good	7.215 \| good	0.734 \| good	14.763 \| good	0.158 \| good
2025-11-08T00:00:00.000Z	60 \| moderate	13.682 \| fine	29.437 \| good	7.019 \| good	0.721 \| good	13.782 \| good	0.865 \| good
2025-11-08T01:00:00.000Z	58 \| moderate	13.368 \| fine	28.571 \| good	7.875 \| good	0.654 \| good	12.656 \| good	0.406 \| good
2025-11-08T02:00:00.000Z	58 \| moderate	13.368 \| fine	28.417 \| good	8.595 \| good	0.646 \| good	10.865 \| good	0.302 \| good
2025-11-08T03:00:00.000Z	58 \| moderate	13.368 \| fine	28.417 \| good	8.288 \| good	0.746 \| good	8.199 \| good	0.274 \| good
2025-11-08T04:00:00.000Z	58 \| moderate	13.368 \| fine	28.417 \| good	11.522 \| good	0.591 \| good	6.025 \| good	0.25 \| good
2025-11-08T05:00:00.000Z	58 \| moderate	13.368 \| fine	28.028 \| good	11.756 \| good	0.745 \| good	6.626 \| good	0.273 \| good
2025-11-08T06:00:00.000Z	58 \| moderate	13.368 \| fine	28.417 \| good	11.494 \| good	0.744 \| good	6.431 \| good	0.091 \| good
2025-11-08T06:00:00.000Z	58 \| moderate	13.368 \| fine	28.417 \| good	11.494 \| good	0.744 \| good	6.431 \| good	0.091 \| good
2025-11-08T05:00:00.000Z	27 \| good	5.466 \| good	8.205 \| good	24.25 \| good	0.215 \| good	2.86 \| good	0.116 \| good
2025-11-08T06:00:00.000Z	27 \| good	4.933 \| good	7.85 \| good	25.721 \| good	0.261 \| good	2.571 \| good	0.114 \| good
2025-11-08T07:00:00.000Z	27 \| good	5.267 \| good	8.24 \| good	25.144 \| good	0.351 \| good	3.311 \| good	0.118 \| good
2025-11-08T08:00:00.000Z	33 \| good	5.816 \| good	8.627 \| good	24.479 \| good	0.422 \| good	4.301 \| good	0.122 \| good
2025-11-08T09:00:00.000Z	33 \| good	5.673 \| good	8.994 \| good	24.376 \| good	0.382 \| good	4.534 \| good	0.127 \| good
2025-11-08T10:00:00.000Z	24 \| good	4.295 \| good	8.806 \| good	25.976 \| good	0.366 \| good	4.15 \| good	0.121 \| good
2025-11-08T11:00:00.000Z	24 \| good	4.368 \| good	8.913 \| good	26.393 \| good	0.337 \| good	3.851 \| good	0.12 \| good
2025-11-08T12:00:00.000Z	27 \| good	5.089 \| good	8.342 \| good	27.568 \| good	0.324 \| good	3.788 \| good	0.121 \| good
2025-11-08T13:00:00.000Z	27 \| good	4.816 \| good	8.668 \| good	29.46 \| good	0.346 \| good	4.033 \| good	0.121 \| good
2025-11-08T14:00:00.000Z	28 \| good	4.618 \| good	9.199 \| good	29.693 \| good	0.373 \| good	4.532 \| good	0.123 \| good
2025-11-08T15:00:00.000Z	27 \| good	4.957 \| good	9.852 \| good	29.18 \| good	0.388 \| good	5.084 \| good	0.127 \| good
2025-11-08T16:00:00.000Z	33 \| good	6.274 \| good	11.698 \| good	27.082 \| good	0.449 \| good	6.657 \| good	0.131 \| good
2025-11-08T17:00:00.000Z	44 \| good	7.506 \| good	12.831 \| good	24.975 \| good	0.552 \| good	9.831 \| good	0.136 \| good
2025-11-08T18:00:00.000Z	49 \| good	9.134 \| good	14.582 \| good	19.563 \| good	0.691 \| good	12.545 \| good	0.15 \| good
2025-11-08T19:00:00.000Z	52 \| moderate	10.057 \| good	15.095 \| good	17.516 \| good	0.64 \| good	14.026 \| good	0.158 \| good
2025-11-08T20:00:00.000Z	54 \| moderate	10.579 \| good	15.651 \| good	15.391 \| good	0.662 \| good	13.915 \| good	0.157 \| good
2025-11-08T21:00:00.000Z	54 \| moderate	11.386 \| good	15.554 \| good	14.179 \| good	0.697 \| good	13.547 \| good	0.156 \| good
2025-11-08T22:00:00.000Z	52 \| moderate	10.436 \| good	14.464 \| good	16.197 \| good	0.736 \| good	11.423 \| good	0.154 \| good
2025-11-08T23:00:00.000Z	52 \| moderate	10.376 \| good	12.877 \| good	17.904 \| good	0.633 \| good	9.326 \| good	0.144 \| good
2025-11-09T00:00:00.000Z	52 \| moderate	10.247 \| good	12.641 \| good	16.73 \| good	0.501 \| good	8.279 \| good	0.143 \| good
2025-11-09T01:00:00.000Z	52 \| moderate	10.073 \| good	12.488 \| good	15.176 \| good	0.422 \| good	7.94 \| good	0.141 \| good
2025-11-09T02:00:00.000Z	49 \| good	9.137 \| good	10.974 \| good	17.27 \| good	0.38 \| good	6.832 \| good	0.134 \| good
2025-11-09T03:00:00.000Z	44 \| good	7.959 \| good	9.618 \| good	19.381 \| good	0.343 \| good	5.37 \| good	0.129 \| good
2025-11-09T04:00:00.000Z	44 \| good	7.817 \| good	9.466 \| good	19.871 \| good	0.273 \| good	4.744 \| good	0.124 \| good
2025-11-09T05:00:00.000Z	44 \| good	8.47 \| good	9.981 \| good	20.573 \| good	0.274 \| good	4.913 \| good	0.127 \| good
2025-11-09T06:00:00.000Z	49 \| good	8.912 \| good	11.134 \| good	20.35 \| good	0.325 \| good	5.585 \| good	0.131 \| good
2025-11-09T07:00:00.000Z	49 \| good	8.964 \| good	11.664 \| good	19.991 \| good	0.357 \| good	6.489 \| good	0.133 \| good
2025-11-09T08:00:00.000Z	49 \| good	8.692 \| good	10.696 \| good	20.481 \| good	0.445 \| good	6.794 \| good	0.134 \| good
2025-11-09T09:00:00.000Z	44 \| good	8.297 \| good	10.216 \| good	24.268 \| good	0.442 \| good	5.503 \| good	0.13 \| good
2025-11-09T10:00:00.000Z	33 \| good	6.441 \| good	9.145 \| good	25.525 \| good	0.393 \| good	4.668 \| good	0.124 \| good
2025-11-09T11:00:00.000Z	33 \| good	5.535 \| good	9.09 \| good	26.139 \| good	0.348 \| good	4.179 \| good	0.122 \| good
2025-11-09T12:00:00.000Z	27 \| good	5.354 \| good	8.734 \| good	27.823 \| good	0.321 \| good	3.837 \| good	0.121 \| good
2025-11-09T13:00:00.000Z	27 \| good	5.041 \| good	8.947 \| good	28.898 \| good	0.306 \| good	3.937 \| good	0.119 \| good
2025-11-09T14:00:00.000Z	27 \| good	4.952 \| good	8.419 \| good	28.887 \| good	0.283 \| good	4.246 \| good	0.118 \| good
2025-11-09T15:00:00.000Z	28 \| good	4.947 \| good	7.867 \| good	29.56 \| good	0.26 \| good	4.538 \| good	0.117 \| good
2025-11-09T16:00:00.000Z	28 \| good	4.792 \| good	7.357 \| good	29.599 \| good	0.294 \| good	5.202 \| good	0.119 \| good
2025-11-09T17:00:00.000Z	28 \| good	4.978 \| good	7.341 \| good	29.639 \| good	0.272 \| good	5.636 \| good	0.121 \| good
2025-11-09T18:00:00.000Z	27 \| good	5.426 \| good	8.253 \| good	27.771 \| good	0.392 \| good	5.856 \| good	0.124 \| good
2025-11-09T19:00:00.000Z	33 \| good	5.919 \| good	7.88 \| good	27.15 \| good	0.421 \| good	5.836 \| good	0.124 \| good
2025-11-09T20:00:00.000Z	33 \| good	6.002 \| good	7.185 \| good	26.021 \| good	0.447 \| good	5.757 \| good	0.122 \| good
2025-11-09T21:00:00.000Z	33 \| good	5.646 \| good	6.572 \| good	26.422 \| good	0.397 \| good	5.719 \| good	0.122 \| good
2025-11-09T22:00:00.000Z	33 \| good	5.745 \| good	6.265 \| good	27.251 \| good	0.325 \| good	5.722 \| good	0.123 \| good
2025-11-09T23:00:00.000Z	27 \| good	5.343 \| good	6.091 \| good	23.751 \| good	0.346 \| good	5.234 \| good	0.123 \| good
2025-11-10T00:00:00.000Z	27 \| good	5.142 \| good	6.083 \| good	25.641 \| good	0.276 \| good	4.88 \| good	0.122 \| good
2025-11-10T01:00:00.000Z	27 \| good	4.96 \| good	5.939 \| good	25.757 \| good	0.237 \| good	4.66 \| good	0.12 \| good
2025-11-10T02:00:00.000Z	27 \| good	4.589 \| good	5.63 \| good	26.213 \| good	0.215 \| good	4.19 \| good	0.119 \| good
2025-11-10T03:00:00.000Z	23 \| good	4.486 \| good	5.588 \| good	24.95 \| good	0.219 \| good	4.118 \| good	0.118 \| good
2025-11-10T04:00:00.000Z	22 \| good	4.213 \| good	5.228 \| good	23.862 \| good	0.236 \| good	4.152 \| good	0.116 \| good

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

Common air pollutants in Swallownest, South Yorkshire

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Swallownest, South Yorkshire air quality forecast and history

Empower business decisions with accurate air quality data

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

Air quality in nearby cities

Wickersley, South Yorkshire

Dinnington, South Yorkshire

Rotherham, South Yorkshire

Sheffield, South Yorkshire

Maltby, South Yorkshire

Staveley, Derbyshire

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 Swallownest, South Yorkshire updated?

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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