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

The current PM10 levels in Swallownest, South Yorkshire are 17.326 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 0.642 ppb.

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

The current ozone (O3) levels at Swallownest, South Yorkshire is 25.439 ppm.

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

The current nitrogen dioxide (NO2) levels at Swallownest, South Yorkshire is 5.434 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 7.22 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)

Good

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)

7.22 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

17.33 μg/m³

155

255

425

605+

Ozone (O₃)

25.44 ppb

201

201+

Sulfur Dioxide (SO₂)

0.64 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

5.43 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.14 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

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
2025-12-27T00:00:00.000Z	38 \| good	7.186 \| good	18.152 \| good	23.568 \| good	0.465 \| good	9.405 \| good	0.305 \| good
2025-12-27T01:00:00.000Z	38 \| good	7.186 \| good	18.076 \| good	22.608 \| good	0.382 \| good	10.167 \| good	0.58 \| good
2025-12-27T02:00:00.000Z	38 \| good	7.372 \| good	19.193 \| good	22.831 \| good	0.404 \| good	7.226 \| good	0.228 \| good
2025-12-27T03:00:00.000Z	38 \| good	7.372 \| good	19.193 \| good	23.299 \| good	0.418 \| good	5.309 \| good	0.241 \| good
2025-12-27T04:00:00.000Z	38 \| good	7.186 \| good	18.076 \| good	23.942 \| good	0.382 \| good	3.49 \| good	0.188 \| good
2025-12-27T05:00:00.000Z	38 \| good	7.186 \| good	17.519 \| good	24.443 \| good	0.382 \| good	2.815 \| good	0.169 \| good
2025-12-27T06:00:00.000Z	38 \| good	7.186 \| good	17.519 \| good	25.252 \| good	0.382 \| good	3.204 \| good	0.023 \| good
2025-12-27T07:00:00.000Z	38 \| good	7.11 \| good	17.325 \| good	25.292 \| good	0.382 \| good	3.694 \| good	0.034 \| good
2025-12-27T08:00:00.000Z	38 \| good	7.11 \| good	17.325 \| good	25.797 \| good	0.382 \| good	6.013 \| good	0.042 \| good
2025-12-27T09:00:00.000Z	38 \| good	7.11 \| good	17.325 \| good	25.816 \| good	0.382 \| good	7.009 \| good	0.032 \| good
2025-12-27T10:00:00.000Z	38 \| good	6.553 \| good	16.65 \| good	26.104 \| good	0.382 \| good	8.079 \| good	0.024 \| good
2025-12-27T11:00:00.000Z	33 \| good	6.372 \| good	16.323 \| good	26.724 \| good	0.382 \| good	7.976 \| good	0.03 \| good
2025-12-27T12:00:00.000Z	33 \| good	6.372 \| good	15.765 \| good	27.212 \| good	0.462 \| good	9.491 \| good	0.031 \| good
2025-12-27T13:00:00.000Z	33 \| good	6.372 \| good	15.648 \| good	27.187 \| good	0.547 \| good	10.215 \| good	0.03 \| good
2025-12-27T14:00:00.000Z	33 \| good	6.372 \| good	15.09 \| good	27.762 \| good	0.574 \| good	10.479 \| good	0.042 \| good
2025-12-27T15:00:00.000Z	33 \| good	6.296 \| good	15.014 \| good	27.402 \| good	0.618 \| good	10.377 \| good	0.045 \| good
2025-12-27T16:00:00.000Z	33 \| good	5.553 \| good	14.152 \| good	27.457 \| good	0.382 \| good	9.373 \| good	0.057 \| good
2025-12-27T17:00:00.000Z	33 \| good	5.553 \| good	14.152 \| good	28.055 \| good	0.382 \| good	9.163 \| good	0.085 \| good
2025-12-27T18:00:00.000Z	33 \| good	5.553 \| good	13.519 \| good	27.555 \| good	0.382 \| good	12.474 \| good	0.11 \| good
2025-12-27T19:00:00.000Z	33 \| good	5.553 \| good	13.519 \| good	27.251 \| good	0.465 \| good	12.987 \| good	0.163 \| good
2025-12-27T20:00:00.000Z	27 \| good	5.435 \| good	13.519 \| good	27.422 \| good	0.382 \| good	10.08 \| good	0.219 \| good
2025-12-27T21:00:00.000Z	27 \| good	5.296 \| good	12.529 \| good	27.795 \| good	0.382 \| good	8.081 \| good	0.164 \| good
2025-12-27T22:00:00.000Z	27 \| good	4.739 \| good	12.453 \| good	28.026 \| good	0.382 \| good	6.952 \| good	0.193 \| good
2025-12-27T23:00:00.000Z	27 \| good	5.296 \| good	12.453 \| good	27.987 \| good	0.382 \| good	8.469 \| good	0.145 \| good
2025-12-28T00:00:00.000Z	27 \| good	4.553 \| good	11.709 \| good	28.332 \| good	0.382 \| good	8.065 \| good	1.101 \| good
2025-12-28T01:00:00.000Z	27 \| good	5.173 \| good	12.581 \| good	28.761 \| good	0.659 \| good	9.186 \| good	1.079 \| good
2025-12-28T02:00:00.000Z	28 \| good	5.173 \| good	12.657 \| good	29.769 \| good	0.586 \| good	7.327 \| good	1.237 \| good
2025-12-28T03:00:00.000Z	29 \| good	5.173 \| good	12.774 \| good	30.795 \| good	0.382 \| good	6.567 \| good	0.638 \| good
2025-12-28T04:00:00.000Z	29 \| good	5.173 \| good	12.774 \| good	30.76 \| good	0.382 \| good	6.567 \| good	0.678 \| good
2025-12-28T05:00:00.000Z	29 \| good	5.173 \| good	12.774 \| good	30.901 \| good	0.382 \| good	6.567 \| good	0.432 \| good
2025-12-28T06:00:00.000Z	29 \| good	5.173 \| good	12.774 \| good	30.69 \| good	0.382 \| good	6.567 \| good	0.045 \| good
2025-12-28T07:00:00.000Z	28 \| good	5.173 \| good	12.774 \| good	30.393 \| good	0.382 \| good	6.567 \| good	0.058 \| good
2025-12-28T08:00:00.000Z	27 \| good	5.038 \| good	14.954 \| good	28.227 \| good	0.78 \| good	5.406 \| good	0.134 \| good
2025-12-28T09:00:00.000Z	33 \| good	5.906 \| good	16.129 \| good	29.12 \| good	0.88 \| good	6.187 \| good	0.139 \| good
2025-12-28T10:00:00.000Z	33 \| good	6.247 \| good	16.618 \| good	29.229 \| good	0.832 \| good	6.523 \| good	0.136 \| good
2025-12-28T11:00:00.000Z	33 \| good	5.842 \| good	15.865 \| good	29.987 \| good	0.729 \| good	5.582 \| good	0.133 \| good
2025-12-28T12:00:00.000Z	30 \| good	4.176 \| good	12.031 \| good	32.24 \| good	0.655 \| good	5.143 \| good	0.133 \| good
2025-12-28T13:00:00.000Z	33 \| good	3.608 \| good	10.105 \| good	35.948 \| good	0.563 \| good	4.73 \| good	0.132 \| good
2025-12-28T14:00:00.000Z	32 \| good	3.793 \| good	10.112 \| good	35.328 \| good	0.468 \| good	4.216 \| good	0.132 \| good
2025-12-28T15:00:00.000Z	31 \| good	4.364 \| good	10.32 \| good	34.379 \| good	0.473 \| good	4.701 \| good	0.134 \| good
2025-12-28T16:00:00.000Z	31 \| good	4.601 \| good	11.679 \| good	33.393 \| good	0.554 \| good	5.034 \| good	0.135 \| good
2025-12-28T17:00:00.000Z	30 \| good	4.76 \| good	12.196 \| good	31.765 \| good	0.524 \| good	5.928 \| good	0.138 \| good
2025-12-28T18:00:00.000Z	27 \| good	5.377 \| good	14.844 \| good	28.603 \| good	0.527 \| good	7.078 \| good	0.145 \| good
2025-12-28T19:00:00.000Z	33 \| good	6.159 \| good	17.861 \| good	24.891 \| good	0.599 \| good	6.704 \| good	0.154 \| good
2025-12-28T20:00:00.000Z	38 \| good	6.888 \| good	17.713 \| good	23.251 \| good	0.713 \| good	7.02 \| good	0.144 \| good
2025-12-28T21:00:00.000Z	44 \| good	7.533 \| good	17.035 \| good	24.017 \| good	0.799 \| good	7.212 \| good	0.145 \| good
2025-12-28T22:00:00.000Z	44 \| good	7.687 \| good	16.444 \| good	25.512 \| good	0.886 \| good	8.142 \| good	0.142 \| good
2025-12-28T23:00:00.000Z	38 \| good	7.22 \| good	17.326 \| good	25.439 \| good	0.642 \| good	5.434 \| good	0.144 \| good
2025-12-29T00:00:00.000Z	38 \| good	7.242 \| good	14.999 \| good	26.697 \| good	0.985 \| good	7.48 \| good	0.139 \| good
2025-12-29T01:00:00.000Z	38 \| good	7.477 \| good	14.809 \| good	25.124 \| good	0.909 \| good	8.005 \| good	0.142 \| good
2025-12-29T02:00:00.000Z	38 \| good	7.346 \| good	14.994 \| good	23.428 \| good	0.836 \| good	7.502 \| good	0.137 \| good
2025-12-29T03:00:00.000Z	38 \| good	7.324 \| good	15.468 \| good	21.989 \| good	0.894 \| good	7.28 \| good	0.134 \| good
2025-12-29T04:00:00.000Z	38 \| good	7.344 \| good	15.338 \| good	22.112 \| good	0.89 \| good	6.387 \| good	0.134 \| good
2025-12-29T05:00:00.000Z	38 \| good	7.244 \| good	13.621 \| good	20.784 \| good	0.876 \| good	6.305 \| good	0.137 \| good
2025-12-29T06:00:00.000Z	38 \| good	6.815 \| good	13.669 \| good	22.438 \| good	0.902 \| good	7.359 \| good	0.131 \| good
2025-12-29T07:00:00.000Z	44 \| good	7.544 \| good	12.751 \| good	18.649 \| good	1.025 \| good	9.821 \| good	0.146 \| good
2025-12-29T08:00:00.000Z	38 \| good	7.456 \| good	11.59 \| good	16.057 \| good	1.29 \| good	12.118 \| good	0.153 \| good
2025-12-29T09:00:00.000Z	44 \| good	7.854 \| good	11.656 \| good	16.619 \| good	1.376 \| good	14.06 \| good	0.155 \| good
2025-12-29T10:00:00.000Z	38 \| good	7.429 \| good	11.415 \| good	20.941 \| good	1.393 \| good	14.422 \| good	0.157 \| good
2025-12-29T11:00:00.000Z	38 \| good	6.828 \| good	9.837 \| good	25.159 \| good	1.229 \| good	11.442 \| good	0.152 \| good
2025-12-29T12:00:00.000Z	27 \| good	5.013 \| good	8.756 \| good	25.895 \| good	0.898 \| good	8.963 \| good	0.139 \| good
2025-12-29T13:00:00.000Z	25 \| good	4.463 \| good	10.006 \| good	27.19 \| good	0.791 \| good	7.644 \| good	0.138 \| good
2025-12-29T14:00:00.000Z	27 \| good	4.641 \| good	10.643 \| good	26.162 \| good	0.806 \| good	7.973 \| good	0.142 \| good
2025-12-29T15:00:00.000Z	27 \| good	5.206 \| good	11.279 \| good	26.936 \| good	0.773 \| good	8.87 \| good	0.143 \| good
2025-12-29T16:00:00.000Z	33 \| good	5.563 \| good	11.841 \| good	24.817 \| good	0.735 \| good	9.386 \| good	0.146 \| good
2025-12-29T17:00:00.000Z	33 \| good	5.662 \| good	11.639 \| good	23.181 \| good	0.71 \| good	10.052 \| good	0.152 \| good
2025-12-29T18:00:00.000Z	38 \| good	6.798 \| good	10.976 \| good	21.035 \| good	0.801 \| good	11.555 \| good	0.15 \| good
2025-12-29T19:00:00.000Z	44 \| good	7.78 \| good	10.156 \| good	20.808 \| good	0.875 \| good	11.657 \| good	0.151 \| good
2025-12-29T20:00:00.000Z	44 \| good	8.089 \| good	13.228 \| good	21.337 \| good	0.92 \| good	10.272 \| good	0.14 \| good
2025-12-29T21:00:00.000Z	38 \| good	7.16 \| good	15.76 \| good	22.594 \| good	0.877 \| good	8.889 \| good	0.136 \| good
2025-12-29T22:00:00.000Z	33 \| good	6.458 \| good	13.184 \| good	25.551 \| good	0.779 \| good	7.05 \| good	0.134 \| good
2025-12-29T23:00:00.000Z	27 \| good	5.454 \| good	10.49 \| good	26.986 \| good	0.696 \| good	4.917 \| good	0.134 \| good
2025-12-30T00:00:00.000Z	27 \| good	4.145 \| good	9.61 \| good	29.231 \| good	0.559 \| good	3.454 \| good	0.128 \| good
2025-12-30T01:00:00.000Z	29 \| good	3.747 \| good	10.133 \| good	31.143 \| good	0.472 \| good	2.851 \| good	0.126 \| good
2025-12-30T02:00:00.000Z	29 \| good	3.495 \| good	9.658 \| good	31.35 \| good	0.445 \| good	2.518 \| good	0.125 \| good
2025-12-30T03:00:00.000Z	29 \| good	3.528 \| good	10.298 \| good	30.617 \| good	0.444 \| good	2.747 \| good	0.126 \| good
2025-12-30T04:00:00.000Z	28 \| good	3.605 \| good	10.827 \| good	29.752 \| good	0.471 \| good	2.702 \| good	0.125 \| good
2025-12-30T05:00:00.000Z	27 \| good	3.694 \| good	11.937 \| good	29.152 \| good	0.509 \| good	3.026 \| good	0.126 \| good
2025-12-30T06:00:00.000Z	28 \| good	3.775 \| good	11.705 \| good	29.857 \| good	0.605 \| good	3.868 \| good	0.127 \| good
2025-12-30T07:00:00.000Z	26 \| good	3.992 \| good	12.151 \| good	28.083 \| good	0.772 \| good	6.002 \| good	0.134 \| good
2025-12-30T08:00:00.000Z	22 \| good	4.461 \| good	11.54 \| good	23.619 \| good	1.062 \| good	10.384 \| good	0.152 \| good
2025-12-30T09:00:00.000Z	27 \| good	5.099 \| good	11.236 \| good	20.089 \| good	1.386 \| good	14.186 \| good	0.165 \| good
2025-12-30T10:00:00.000Z	33 \| good	5.577 \| good	11.454 \| good	20.112 \| good	1.548 \| good	14.895 \| good	0.17 \| good
2025-12-30T11:00:00.000Z	33 \| good	5.682 \| good	11.298 \| good	22.731 \| good	1.341 \| good	13.677 \| good	0.167 \| good
2025-12-30T12:00:00.000Z	27 \| good	4.609 \| good	11.517 \| good	27.852 \| good	1.16 \| good	11.483 \| good	0.153 \| good
2025-12-30T13:00:00.000Z	26 \| good	4.042 \| good	11.99 \| good	28.335 \| good	1.072 \| good	10.382 \| good	0.151 \| good
2025-12-30T14:00:00.000Z	25 \| good	4.337 \| good	11.93 \| good	27.262 \| good	0.987 \| good	9.687 \| good	0.156 \| good
2025-12-30T15:00:00.000Z	27 \| good	4.752 \| good	12.032 \| good	27.016 \| good	1.032 \| good	10.617 \| good	0.164 \| good
2025-12-30T16:00:00.000Z	27 \| good	5.129 \| good	13.052 \| good	25.028 \| good	0.971 \| good	13.074 \| good	0.17 \| good
2025-12-30T17:00:00.000Z	33 \| good	5.923 \| good	13.804 \| good	23.29 \| good	1.01 \| good	15.034 \| good	0.178 \| good
2025-12-30T18:00:00.000Z	38 \| good	7.057 \| good	14.023 \| good	20.417 \| good	1.13 \| good	17.318 \| good	0.186 \| good
2025-12-30T19:00:00.000Z	44 \| good	8.173 \| good	14.234 \| good	18.298 \| good	1.272 \| good	19.033 \| good	0.195 \| good
2025-12-30T20:00:00.000Z	49 \| good	8.87 \| good	14.463 \| good	16.987 \| good	1.376 \| good	19.392 \| good	0.188 \| good
2025-12-30T21:00:00.000Z	52 \| moderate	10.274 \| good	15.299 \| good	15.288 \| good	1.553 \| good	19.941 \| good	0.188 \| good
2025-12-30T22:00:00.000Z	56 \| moderate	12.065 \| good	16.304 \| good	10.437 \| good	1.552 \| good	22.362 \| good	0.191 \| good
2025-12-30T23:00:00.000Z	58 \| moderate	12.709 \| fine	17.044 \| good	9.347 \| good	1.37 \| good	18.635 \| good	0.205 \| good

Swallownest

Empower business decisions with accurate air quality data

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

0.14ppm

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 10:00:00 on 2025-12-28.

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 06:00:00 on 2025-12-28.

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

The real-time air quality index in Swallownest, South Yorkshire is 38, currently categorized as Good.

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 7.22 μg/m³.

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

The current PM₁₀ levels in Swallownest, South Yorkshire are 17.326 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 0.144 ppm.

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

The current sulfur dioxide (SO₂) levels in Swallownest, South Yorkshire are 0.642 ppb.

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

The current ozone (O₃) levels at Swallownest, South Yorkshire is 25.439 ppm.

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

The current nitrogen dioxide (NO₂) levels at Swallownest, South Yorkshire is 5.434 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-12-27T00:00:00.000Z	38 \| good	7.186 \| good	18.152 \| good	23.568 \| good	0.465 \| good	9.405 \| good	0.305 \| good
2025-12-27T01:00:00.000Z	38 \| good	7.186 \| good	18.076 \| good	22.608 \| good	0.382 \| good	10.167 \| good	0.58 \| good
2025-12-27T02:00:00.000Z	38 \| good	7.372 \| good	19.193 \| good	22.831 \| good	0.404 \| good	7.226 \| good	0.228 \| good
2025-12-27T03:00:00.000Z	38 \| good	7.372 \| good	19.193 \| good	23.299 \| good	0.418 \| good	5.309 \| good	0.241 \| good
2025-12-27T04:00:00.000Z	38 \| good	7.186 \| good	18.076 \| good	23.942 \| good	0.382 \| good	3.49 \| good	0.188 \| good
2025-12-27T05:00:00.000Z	38 \| good	7.186 \| good	17.519 \| good	24.443 \| good	0.382 \| good	2.815 \| good	0.169 \| good
2025-12-27T06:00:00.000Z	38 \| good	7.186 \| good	17.519 \| good	25.252 \| good	0.382 \| good	3.204 \| good	0.023 \| good
2025-12-27T07:00:00.000Z	38 \| good	7.11 \| good	17.325 \| good	25.292 \| good	0.382 \| good	3.694 \| good	0.034 \| good
2025-12-27T08:00:00.000Z	38 \| good	7.11 \| good	17.325 \| good	25.797 \| good	0.382 \| good	6.013 \| good	0.042 \| good
2025-12-27T09:00:00.000Z	38 \| good	7.11 \| good	17.325 \| good	25.816 \| good	0.382 \| good	7.009 \| good	0.032 \| good
2025-12-27T10:00:00.000Z	38 \| good	6.553 \| good	16.65 \| good	26.104 \| good	0.382 \| good	8.079 \| good	0.024 \| good
2025-12-27T11:00:00.000Z	33 \| good	6.372 \| good	16.323 \| good	26.724 \| good	0.382 \| good	7.976 \| good	0.03 \| good
2025-12-27T12:00:00.000Z	33 \| good	6.372 \| good	15.765 \| good	27.212 \| good	0.462 \| good	9.491 \| good	0.031 \| good
2025-12-27T13:00:00.000Z	33 \| good	6.372 \| good	15.648 \| good	27.187 \| good	0.547 \| good	10.215 \| good	0.03 \| good
2025-12-27T14:00:00.000Z	33 \| good	6.372 \| good	15.09 \| good	27.762 \| good	0.574 \| good	10.479 \| good	0.042 \| good
2025-12-27T15:00:00.000Z	33 \| good	6.296 \| good	15.014 \| good	27.402 \| good	0.618 \| good	10.377 \| good	0.045 \| good
2025-12-27T16:00:00.000Z	33 \| good	5.553 \| good	14.152 \| good	27.457 \| good	0.382 \| good	9.373 \| good	0.057 \| good
2025-12-27T17:00:00.000Z	33 \| good	5.553 \| good	14.152 \| good	28.055 \| good	0.382 \| good	9.163 \| good	0.085 \| good
2025-12-27T18:00:00.000Z	33 \| good	5.553 \| good	13.519 \| good	27.555 \| good	0.382 \| good	12.474 \| good	0.11 \| good
2025-12-27T19:00:00.000Z	33 \| good	5.553 \| good	13.519 \| good	27.251 \| good	0.465 \| good	12.987 \| good	0.163 \| good
2025-12-27T20:00:00.000Z	27 \| good	5.435 \| good	13.519 \| good	27.422 \| good	0.382 \| good	10.08 \| good	0.219 \| good
2025-12-27T21:00:00.000Z	27 \| good	5.296 \| good	12.529 \| good	27.795 \| good	0.382 \| good	8.081 \| good	0.164 \| good
2025-12-27T22:00:00.000Z	27 \| good	4.739 \| good	12.453 \| good	28.026 \| good	0.382 \| good	6.952 \| good	0.193 \| good
2025-12-27T23:00:00.000Z	27 \| good	5.296 \| good	12.453 \| good	27.987 \| good	0.382 \| good	8.469 \| good	0.145 \| good
2025-12-28T00:00:00.000Z	27 \| good	4.553 \| good	11.709 \| good	28.332 \| good	0.382 \| good	8.065 \| good	1.101 \| good
2025-12-28T01:00:00.000Z	27 \| good	5.173 \| good	12.581 \| good	28.761 \| good	0.659 \| good	9.186 \| good	1.079 \| good
2025-12-28T02:00:00.000Z	28 \| good	5.173 \| good	12.657 \| good	29.769 \| good	0.586 \| good	7.327 \| good	1.237 \| good
2025-12-28T03:00:00.000Z	29 \| good	5.173 \| good	12.774 \| good	30.795 \| good	0.382 \| good	6.567 \| good	0.638 \| good
2025-12-28T04:00:00.000Z	29 \| good	5.173 \| good	12.774 \| good	30.76 \| good	0.382 \| good	6.567 \| good	0.678 \| good
2025-12-28T05:00:00.000Z	29 \| good	5.173 \| good	12.774 \| good	30.901 \| good	0.382 \| good	6.567 \| good	0.432 \| good
2025-12-28T06:00:00.000Z	29 \| good	5.173 \| good	12.774 \| good	30.69 \| good	0.382 \| good	6.567 \| good	0.045 \| good
2025-12-28T07:00:00.000Z	28 \| good	5.173 \| good	12.774 \| good	30.393 \| good	0.382 \| good	6.567 \| good	0.058 \| good
2025-12-28T08:00:00.000Z	27 \| good	5.038 \| good	14.954 \| good	28.227 \| good	0.78 \| good	5.406 \| good	0.134 \| good
2025-12-28T09:00:00.000Z	33 \| good	5.906 \| good	16.129 \| good	29.12 \| good	0.88 \| good	6.187 \| good	0.139 \| good
2025-12-28T10:00:00.000Z	33 \| good	6.247 \| good	16.618 \| good	29.229 \| good	0.832 \| good	6.523 \| good	0.136 \| good
2025-12-28T11:00:00.000Z	33 \| good	5.842 \| good	15.865 \| good	29.987 \| good	0.729 \| good	5.582 \| good	0.133 \| good
2025-12-28T12:00:00.000Z	30 \| good	4.176 \| good	12.031 \| good	32.24 \| good	0.655 \| good	5.143 \| good	0.133 \| good
2025-12-28T13:00:00.000Z	33 \| good	3.608 \| good	10.105 \| good	35.948 \| good	0.563 \| good	4.73 \| good	0.132 \| good
2025-12-28T14:00:00.000Z	32 \| good	3.793 \| good	10.112 \| good	35.328 \| good	0.468 \| good	4.216 \| good	0.132 \| good
2025-12-28T15:00:00.000Z	31 \| good	4.364 \| good	10.32 \| good	34.379 \| good	0.473 \| good	4.701 \| good	0.134 \| good
2025-12-28T16:00:00.000Z	31 \| good	4.601 \| good	11.679 \| good	33.393 \| good	0.554 \| good	5.034 \| good	0.135 \| good
2025-12-28T17:00:00.000Z	30 \| good	4.76 \| good	12.196 \| good	31.765 \| good	0.524 \| good	5.928 \| good	0.138 \| good
2025-12-28T18:00:00.000Z	27 \| good	5.377 \| good	14.844 \| good	28.603 \| good	0.527 \| good	7.078 \| good	0.145 \| good
2025-12-28T19:00:00.000Z	33 \| good	6.159 \| good	17.861 \| good	24.891 \| good	0.599 \| good	6.704 \| good	0.154 \| good
2025-12-28T20:00:00.000Z	38 \| good	6.888 \| good	17.713 \| good	23.251 \| good	0.713 \| good	7.02 \| good	0.144 \| good
2025-12-28T21:00:00.000Z	44 \| good	7.533 \| good	17.035 \| good	24.017 \| good	0.799 \| good	7.212 \| good	0.145 \| good
2025-12-28T22:00:00.000Z	44 \| good	7.687 \| good	16.444 \| good	25.512 \| good	0.886 \| good	8.142 \| good	0.142 \| good
2025-12-28T23:00:00.000Z	38 \| good	7.22 \| good	17.326 \| good	25.439 \| good	0.642 \| good	5.434 \| good	0.144 \| good
2025-12-29T00:00:00.000Z	38 \| good	7.242 \| good	14.999 \| good	26.697 \| good	0.985 \| good	7.48 \| good	0.139 \| good
2025-12-29T01:00:00.000Z	38 \| good	7.477 \| good	14.809 \| good	25.124 \| good	0.909 \| good	8.005 \| good	0.142 \| good
2025-12-29T02:00:00.000Z	38 \| good	7.346 \| good	14.994 \| good	23.428 \| good	0.836 \| good	7.502 \| good	0.137 \| good
2025-12-29T03:00:00.000Z	38 \| good	7.324 \| good	15.468 \| good	21.989 \| good	0.894 \| good	7.28 \| good	0.134 \| good
2025-12-29T04:00:00.000Z	38 \| good	7.344 \| good	15.338 \| good	22.112 \| good	0.89 \| good	6.387 \| good	0.134 \| good
2025-12-29T05:00:00.000Z	38 \| good	7.244 \| good	13.621 \| good	20.784 \| good	0.876 \| good	6.305 \| good	0.137 \| good
2025-12-29T06:00:00.000Z	38 \| good	6.815 \| good	13.669 \| good	22.438 \| good	0.902 \| good	7.359 \| good	0.131 \| good
2025-12-29T07:00:00.000Z	44 \| good	7.544 \| good	12.751 \| good	18.649 \| good	1.025 \| good	9.821 \| good	0.146 \| good
2025-12-29T08:00:00.000Z	38 \| good	7.456 \| good	11.59 \| good	16.057 \| good	1.29 \| good	12.118 \| good	0.153 \| good
2025-12-29T09:00:00.000Z	44 \| good	7.854 \| good	11.656 \| good	16.619 \| good	1.376 \| good	14.06 \| good	0.155 \| good
2025-12-29T10:00:00.000Z	38 \| good	7.429 \| good	11.415 \| good	20.941 \| good	1.393 \| good	14.422 \| good	0.157 \| good
2025-12-29T11:00:00.000Z	38 \| good	6.828 \| good	9.837 \| good	25.159 \| good	1.229 \| good	11.442 \| good	0.152 \| good
2025-12-29T12:00:00.000Z	27 \| good	5.013 \| good	8.756 \| good	25.895 \| good	0.898 \| good	8.963 \| good	0.139 \| good
2025-12-29T13:00:00.000Z	25 \| good	4.463 \| good	10.006 \| good	27.19 \| good	0.791 \| good	7.644 \| good	0.138 \| good
2025-12-29T14:00:00.000Z	27 \| good	4.641 \| good	10.643 \| good	26.162 \| good	0.806 \| good	7.973 \| good	0.142 \| good
2025-12-29T15:00:00.000Z	27 \| good	5.206 \| good	11.279 \| good	26.936 \| good	0.773 \| good	8.87 \| good	0.143 \| good
2025-12-29T16:00:00.000Z	33 \| good	5.563 \| good	11.841 \| good	24.817 \| good	0.735 \| good	9.386 \| good	0.146 \| good
2025-12-29T17:00:00.000Z	33 \| good	5.662 \| good	11.639 \| good	23.181 \| good	0.71 \| good	10.052 \| good	0.152 \| good
2025-12-29T18:00:00.000Z	38 \| good	6.798 \| good	10.976 \| good	21.035 \| good	0.801 \| good	11.555 \| good	0.15 \| good
2025-12-29T19:00:00.000Z	44 \| good	7.78 \| good	10.156 \| good	20.808 \| good	0.875 \| good	11.657 \| good	0.151 \| good
2025-12-29T20:00:00.000Z	44 \| good	8.089 \| good	13.228 \| good	21.337 \| good	0.92 \| good	10.272 \| good	0.14 \| good
2025-12-29T21:00:00.000Z	38 \| good	7.16 \| good	15.76 \| good	22.594 \| good	0.877 \| good	8.889 \| good	0.136 \| good
2025-12-29T22:00:00.000Z	33 \| good	6.458 \| good	13.184 \| good	25.551 \| good	0.779 \| good	7.05 \| good	0.134 \| good
2025-12-29T23:00:00.000Z	27 \| good	5.454 \| good	10.49 \| good	26.986 \| good	0.696 \| good	4.917 \| good	0.134 \| good
2025-12-30T00:00:00.000Z	27 \| good	4.145 \| good	9.61 \| good	29.231 \| good	0.559 \| good	3.454 \| good	0.128 \| good
2025-12-30T01:00:00.000Z	29 \| good	3.747 \| good	10.133 \| good	31.143 \| good	0.472 \| good	2.851 \| good	0.126 \| good
2025-12-30T02:00:00.000Z	29 \| good	3.495 \| good	9.658 \| good	31.35 \| good	0.445 \| good	2.518 \| good	0.125 \| good
2025-12-30T03:00:00.000Z	29 \| good	3.528 \| good	10.298 \| good	30.617 \| good	0.444 \| good	2.747 \| good	0.126 \| good
2025-12-30T04:00:00.000Z	28 \| good	3.605 \| good	10.827 \| good	29.752 \| good	0.471 \| good	2.702 \| good	0.125 \| good
2025-12-30T05:00:00.000Z	27 \| good	3.694 \| good	11.937 \| good	29.152 \| good	0.509 \| good	3.026 \| good	0.126 \| good
2025-12-30T06:00:00.000Z	28 \| good	3.775 \| good	11.705 \| good	29.857 \| good	0.605 \| good	3.868 \| good	0.127 \| good
2025-12-30T07:00:00.000Z	26 \| good	3.992 \| good	12.151 \| good	28.083 \| good	0.772 \| good	6.002 \| good	0.134 \| good
2025-12-30T08:00:00.000Z	22 \| good	4.461 \| good	11.54 \| good	23.619 \| good	1.062 \| good	10.384 \| good	0.152 \| good
2025-12-30T09:00:00.000Z	27 \| good	5.099 \| good	11.236 \| good	20.089 \| good	1.386 \| good	14.186 \| good	0.165 \| good
2025-12-30T10:00:00.000Z	33 \| good	5.577 \| good	11.454 \| good	20.112 \| good	1.548 \| good	14.895 \| good	0.17 \| good
2025-12-30T11:00:00.000Z	33 \| good	5.682 \| good	11.298 \| good	22.731 \| good	1.341 \| good	13.677 \| good	0.167 \| good
2025-12-30T12:00:00.000Z	27 \| good	4.609 \| good	11.517 \| good	27.852 \| good	1.16 \| good	11.483 \| good	0.153 \| good
2025-12-30T13:00:00.000Z	26 \| good	4.042 \| good	11.99 \| good	28.335 \| good	1.072 \| good	10.382 \| good	0.151 \| good
2025-12-30T14:00:00.000Z	25 \| good	4.337 \| good	11.93 \| good	27.262 \| good	0.987 \| good	9.687 \| good	0.156 \| good
2025-12-30T15:00:00.000Z	27 \| good	4.752 \| good	12.032 \| good	27.016 \| good	1.032 \| good	10.617 \| good	0.164 \| good
2025-12-30T16:00:00.000Z	27 \| good	5.129 \| good	13.052 \| good	25.028 \| good	0.971 \| good	13.074 \| good	0.17 \| good
2025-12-30T17:00:00.000Z	33 \| good	5.923 \| good	13.804 \| good	23.29 \| good	1.01 \| good	15.034 \| good	0.178 \| good
2025-12-30T18:00:00.000Z	38 \| good	7.057 \| good	14.023 \| good	20.417 \| good	1.13 \| good	17.318 \| good	0.186 \| good
2025-12-30T19:00:00.000Z	44 \| good	8.173 \| good	14.234 \| good	18.298 \| good	1.272 \| good	19.033 \| good	0.195 \| good
2025-12-30T20:00:00.000Z	49 \| good	8.87 \| good	14.463 \| good	16.987 \| good	1.376 \| good	19.392 \| good	0.188 \| good
2025-12-30T21:00:00.000Z	52 \| moderate	10.274 \| good	15.299 \| good	15.288 \| good	1.553 \| good	19.941 \| good	0.188 \| good
2025-12-30T22:00:00.000Z	56 \| moderate	12.065 \| good	16.304 \| good	10.437 \| good	1.552 \| good	22.362 \| good	0.191 \| good
2025-12-30T23:00:00.000Z	58 \| moderate	12.709 \| fine	17.044 \| good	9.347 \| good	1.37 \| good	18.635 \| good	0.205 \| 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?