What is the sulfur dioxide (SO2) level in Thorne, South Yorkshire at the moment?

Currently, Thorne, South Yorkshire has a sulfur dioxide (SO2) concentration of 0.451 ppb.

What is the ozone (O3) level in Thorne, South Yorkshire at the moment?

The current ozone (O3) level in Thorne, South Yorkshire at the moment is 24.594 ppm.

What is the nitrogen dioxide (NO2) level in Thorne, South Yorkshire at the moment?

Nitrogen dioxide (NO2) level in Thorne, South Yorkshire at the moment is 4.664 ppb.

Live air quality index in Thorne, South Yorkshire today

Q: What is the PM2.5 level in Thorne, South Yorkshire at the moment?

PM2.5 levels in Thorne, South Yorkshire are currently 5.193 μg/m3.

Q: What is the PM10 level in Thorne, South Yorkshire at the moment?

The PM10 concentration in Thorne, South Yorkshire is 11.616 μg/m3 at the moment.

Stay updated with real-time air quality in Thorne, 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

Thorne, South Yorkshire

Last updated: ... (Local time)

Major air pollutants in Thorne, South Yorkshire

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

5.19 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

11.62 μg/m³

155

255

425

605+

Ozone (O₃)

24.59 ppb

201

201+

Sulfur Dioxide (SO₂)

0.45 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

4.66 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

1.20 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Thorne, South Yorkshire

Get Live Pollen Counts

Thorne, South Yorkshire

Scroll To Air Quality Map

Track live Thorne, South Yorkshire air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-11-15T01:00:00.000Z	33 \| good	3.591 \| good	12.743 \| good	35.685 \| good	0.444 \| good	1.678 \| good	1.37 \| good
2025-11-15T02:00:00.000Z	32 \| good	3.586 \| good	11.569 \| good	35.321 \| good	0.445 \| good	2.397 \| good	1.406 \| good
2025-11-15T03:00:00.000Z	33 \| good	3.583 \| good	12.225 \| good	36.289 \| good	0.529 \| good	1.181 \| good	1.35 \| good
2025-11-15T04:00:00.000Z	33 \| good	3.581 \| good	11.286 \| good	36.352 \| good	0.53 \| good	1.418 \| good	1.024 \| good
2025-11-15T05:00:00.000Z	34 \| good	3.788 \| good	11.462 \| good	36.559 \| good	0.447 \| good	0.988 \| good	0.943 \| good
2025-11-15T06:00:00.000Z	34 \| good	3.791 \| good	11.365 \| good	37.46 \| good	0.447 \| good	0.848 \| good	0.122 \| good
2025-11-15T07:00:00.000Z	33 \| good	3.819 \| good	11.792 \| good	35.923 \| good	0.447 \| good	1.46 \| good	0.121 \| good
2025-11-15T08:00:00.000Z	33 \| good	3.827 \| good	11.027 \| good	36.136 \| good	0.447 \| good	2.338 \| good	0.131 \| good
2025-11-15T09:00:00.000Z	32 \| good	3.755 \| good	11.483 \| good	34.915 \| good	0.447 \| good	4.007 \| good	0.122 \| good
2025-11-15T10:00:00.000Z	31 \| good	4.24 \| good	13.19 \| good	34.356 \| good	0.449 \| good	4.294 \| good	0.104 \| good
2025-11-15T11:00:00.000Z	30 \| good	3.753 \| good	12.76 \| good	31.846 \| good	0.537 \| good	5.09 \| good	0.081 \| good
2025-11-15T12:00:00.000Z	31 \| good	3.969 \| good	13.471 \| good	34.352 \| good	0.449 \| good	5.528 \| good	0.061 \| good
2025-11-15T13:00:00.000Z	30 \| good	4.241 \| good	11.222 \| good	31.677 \| good	0.445 \| good	6.507 \| good	0.049 \| good
2025-11-15T14:00:00.000Z	29 \| good	3.889 \| good	11.07 \| good	31.347 \| good	0.541 \| good	7.31 \| good	0.048 \| good
2025-11-15T15:00:00.000Z	29 \| good	3.486 \| good	10.121 \| good	30.946 \| good	0.453 \| good	6.826 \| good	0.05 \| good
2025-11-15T16:00:00.000Z	30 \| good	4.176 \| good	12.868 \| good	31.915 \| good	0.453 \| good	7.084 \| good	0.099 \| good
2025-11-15T17:00:00.000Z	31 \| good	4.173 \| good	14.376 \| good	33.167 \| good	0.447 \| good	9.745 \| good	0.156 \| good
2025-11-15T18:00:00.000Z	30 \| good	4.15 \| good	13.711 \| good	31.726 \| good	0.552 \| good	11.431 \| good	0.217 \| good
2025-11-15T19:00:00.000Z	24 \| good	3.993 \| good	10.584 \| good	26.391 \| good	0.456 \| good	11.547 \| good	0.192 \| good
2025-11-15T20:00:00.000Z	26 \| good	4.037 \| good	12.819 \| good	27.57 \| good	0.454 \| good	10.91 \| good	0.268 \| good
2025-11-15T21:00:00.000Z	24 \| good	4.257 \| good	14.861 \| good	26.052 \| good	0.447 \| good	9.386 \| good	0.23 \| good
2025-11-15T22:00:00.000Z	24 \| good	4.243 \| good	14.695 \| good	26.129 \| good	0.446 \| good	5.46 \| good	0.291 \| good
2025-11-15T23:00:00.000Z	24 \| good	4.214 \| good	13.799 \| good	25.858 \| good	0.451 \| good	6.973 \| good	0.152 \| good
2025-11-16T00:00:00.000Z	27 \| good	4.766 \| good	13.87 \| good	25.819 \| good	0.446 \| good	5.38 \| good	0.989 \| good
2025-11-16T01:00:00.000Z	27 \| good	4.597 \| good	15.151 \| good	26.244 \| good	0.446 \| good	5.27 \| good	1.449 \| good
2025-11-16T02:00:00.000Z	24 \| good	4.387 \| good	13.257 \| good	26.326 \| good	0.446 \| good	3.209 \| good	1.348 \| good
2025-11-16T03:00:00.000Z	24 \| good	4.363 \| good	15.391 \| good	26.005 \| good	0.451 \| good	2.721 \| good	0.879 \| good
2025-11-16T04:00:00.000Z	27 \| good	4.664 \| good	12.078 \| good	27.384 \| good	0.446 \| good	3.975 \| good	0.747 \| good
2025-11-16T05:00:00.000Z	27 \| good	4.635 \| good	14.164 \| good	28.297 \| good	0.452 \| good	2.139 \| good	0.738 \| good
2025-11-16T06:00:00.000Z	28 \| good	4.658 \| good	14.501 \| good	29.975 \| good	0.452 \| good	2.607 \| good	0.082 \| good
2025-11-16T07:00:00.000Z	27 \| good	4.605 \| good	15.673 \| good	27.346 \| good	0.542 \| good	2.285 \| good	0.093 \| good
2025-11-16T08:00:00.000Z	25 \| good	4.047 \| good	15.49 \| good	26.878 \| good	0.452 \| good	2.202 \| good	0.103 \| good
2025-11-16T09:00:00.000Z	24 \| good	4.369 \| good	14.33 \| good	26.481 \| good	0.453 \| good	3.034 \| good	0.094 \| good
2025-11-16T10:00:00.000Z	25 \| good	4.369 \| good	14.238 \| good	27.329 \| good	0.505 \| good	6.074 \| good	0.096 \| good
2025-11-16T11:00:00.000Z	26 \| good	4.333 \| good	15.986 \| good	28.079 \| good	0.451 \| good	10.953 \| good	0.081 \| good
2025-11-16T12:00:00.000Z	27 \| good	4.096 \| good	13.289 \| good	29.385 \| good	0.445 \| good	11.067 \| good	0.059 \| good
2025-11-16T13:00:00.000Z	28 \| good	4.303 \| good	14.831 \| good	29.733 \| good	0.588 \| good	10.266 \| good	0.053 \| good
2025-11-16T14:00:00.000Z	31 \| good	4.213 \| good	14.252 \| good	32.91 \| good	0.509 \| good	9.952 \| good	0.054 \| good
2025-11-16T15:00:00.000Z	29 \| good	4.325 \| good	13.329 \| good	30.811 \| good	0.511 \| good	11.441 \| good	0.068 \| good
2025-11-16T16:00:00.000Z	31 \| good	4.324 \| good	14.79 \| good	32.643 \| good	0.467 \| good	12.603 \| good	0.152 \| good
2025-11-16T17:00:00.000Z	30 \| good	4.295 \| good	16.642 \| good	31.922 \| good	0.382 \| good	16.719 \| good	0.159 \| good
2025-11-16T18:00:00.000Z	28 \| good	4.681 \| good	14.859 \| good	30.085 \| good	0.382 \| good	12.169 \| good	0.174 \| good
2025-11-16T19:00:00.000Z	27 \| good	4.103 \| good	14.699 \| good	28.766 \| good	0.548 \| good	8.681 \| good	0.156 \| good
2025-11-16T20:00:00.000Z	27 \| good	4.628 \| good	16.426 \| good	29.29 \| good	0.449 \| good	8.053 \| good	0.163 \| good
2025-11-16T21:00:00.000Z	29 \| good	4.406 \| good	11.991 \| good	30.686 \| good	0.541 \| good	8.321 \| good	0.146 \| good
2025-11-16T22:00:00.000Z	27 \| good	4.738 \| good	15.35 \| good	23.902 \| good	0.45 \| good	8.803 \| good	0.197 \| good
2025-11-16T23:00:00.000Z	27 \| good	4.917 \| good	17.907 \| good	22.717 \| good	0.449 \| good	8.477 \| good	0.188 \| good
2025-11-17T00:00:00.000Z	27 \| good	5.193 \| good	11.616 \| good	24.594 \| good	0.451 \| good	4.664 \| good	1.204 \| good
2025-11-17T00:00:00.000Z	27 \| good	5.193 \| good	11.616 \| good	24.594 \| good	0.451 \| good	4.664 \| good	1.204 \| good
2025-11-17T01:00:00.000Z	28 \| good	3.328 \| good	7.746 \| good	29.569 \| good	0.268 \| good	2.372 \| good	0.121 \| good
2025-11-17T02:00:00.000Z	29 \| good	3.064 \| good	7.144 \| good	30.742 \| good	0.243 \| good	2.026 \| good	0.119 \| good
2025-11-17T03:00:00.000Z	29 \| good	2.764 \| good	6.699 \| good	30.804 \| good	0.22 \| good	1.68 \| good	0.12 \| good
2025-11-17T04:00:00.000Z	28 \| good	2.625 \| good	6.309 \| good	30.434 \| good	0.2 \| good	1.4 \| good	0.12 \| good
2025-11-17T05:00:00.000Z	28 \| good	2.652 \| good	6.643 \| good	30.06 \| good	0.204 \| good	1.334 \| good	0.12 \| good
2025-11-17T06:00:00.000Z	28 \| good	3.132 \| good	9.008 \| good	30.352 \| good	0.23 \| good	1.35 \| good	0.121 \| good
2025-11-17T07:00:00.000Z	28 \| good	3.39 \| good	9.803 \| good	29.819 \| good	0.296 \| good	1.738 \| good	0.126 \| good
2025-11-17T08:00:00.000Z	27 \| good	3.582 \| good	9.898 \| good	29.286 \| good	0.422 \| good	2.819 \| good	0.132 \| good
2025-11-17T09:00:00.000Z	27 \| good	4.141 \| good	9.871 \| good	28.936 \| good	0.494 \| good	3.395 \| good	0.135 \| good
2025-11-17T10:00:00.000Z	28 \| good	4.142 \| good	9.956 \| good	30.129 \| good	0.504 \| good	3.174 \| good	0.135 \| good
2025-11-17T11:00:00.000Z	30 \| good	4.062 \| good	11.074 \| good	31.839 \| good	0.484 \| good	2.904 \| good	0.134 \| good
2025-11-17T12:00:00.000Z	30 \| good	3.951 \| good	11.057 \| good	32.045 \| good	0.454 \| good	2.66 \| good	0.134 \| good
2025-11-17T13:00:00.000Z	31 \| good	3.953 \| good	10.764 \| good	33.354 \| good	0.441 \| good	2.573 \| good	0.134 \| good
2025-11-17T14:00:00.000Z	30 \| good	3.973 \| good	10.878 \| good	31.924 \| good	0.422 \| good	2.745 \| good	0.136 \| good
2025-11-17T15:00:00.000Z	29 \| good	3.97 \| good	11.115 \| good	30.58 \| good	0.421 \| good	3.142 \| good	0.137 \| good
2025-11-17T16:00:00.000Z	25 \| good	4.4 \| good	12.011 \| good	27.207 \| good	0.51 \| good	4.37 \| good	0.142 \| good
2025-11-17T17:00:00.000Z	33 \| good	5.7 \| good	13.309 \| good	23.552 \| good	0.623 \| good	7.127 \| good	0.152 \| good
2025-11-17T18:00:00.000Z	44 \| good	7.536 \| good	15.665 \| good	18.86 \| good	0.831 \| good	10.706 \| good	0.169 \| good
2025-11-17T19:00:00.000Z	52 \| moderate	9.686 \| good	17.714 \| good	12.648 \| good	1.033 \| good	16.029 \| good	0.193 \| good
2025-11-17T20:00:00.000Z	56 \| moderate	11.568 \| good	18.716 \| good	8.093 \| good	1.102 \| good	19.049 \| good	0.206 \| good
2025-11-17T21:00:00.000Z	56 \| moderate	12.115 \| fine	19.555 \| good	9.748 \| good	1.124 \| good	18.544 \| good	0.204 \| good
2025-11-17T22:00:00.000Z	56 \| moderate	11.706 \| good	20.659 \| good	9.911 \| good	1.012 \| good	16.173 \| good	0.197 \| good
2025-11-17T23:00:00.000Z	56 \| moderate	11.955 \| good	21.246 \| good	11.276 \| good	0.863 \| good	14.65 \| good	0.193 \| good
2025-11-18T00:00:00.000Z	58 \| moderate	12.545 \| fine	21.093 \| good	11.099 \| good	0.78 \| good	14.025 \| good	0.188 \| good
2025-11-18T01:00:00.000Z	58 \| moderate	12.68 \| fine	19.725 \| good	11.937 \| good	0.692 \| good	14.204 \| good	0.182 \| good
2025-11-18T02:00:00.000Z	56 \| moderate	12.237 \| fine	17.552 \| good	12.138 \| good	0.718 \| good	11.931 \| good	0.176 \| good
2025-11-18T03:00:00.000Z	56 \| moderate	12.139 \| fine	16.97 \| good	16.852 \| good	0.706 \| good	10.62 \| good	0.164 \| good
2025-11-18T04:00:00.000Z	52 \| moderate	9.908 \| good	14.049 \| good	18.589 \| good	0.648 \| good	10.419 \| good	0.157 \| good
2025-11-18T05:00:00.000Z	38 \| good	7.242 \| good	10.832 \| good	19.894 \| good	0.66 \| good	8.507 \| good	0.152 \| good
2025-11-18T06:00:00.000Z	38 \| good	6.635 \| good	10.005 \| good	20.325 \| good	0.645 \| good	7.668 \| good	0.147 \| good
2025-11-18T07:00:00.000Z	38 \| good	7.03 \| good	11.074 \| good	20.244 \| good	0.718 \| good	7.689 \| good	0.141 \| good
2025-11-18T08:00:00.000Z	44 \| good	7.622 \| good	12.627 \| good	19.281 \| good	0.811 \| good	9.863 \| good	0.147 \| good
2025-11-18T09:00:00.000Z	44 \| good	7.784 \| good	13.245 \| good	18.713 \| good	0.853 \| good	11.704 \| good	0.152 \| good
2025-11-18T10:00:00.000Z	44 \| good	7.589 \| good	12.353 \| good	20.625 \| good	0.943 \| good	11.613 \| good	0.15 \| good
2025-11-18T11:00:00.000Z	38 \| good	6.803 \| good	10.183 \| good	21.817 \| good	0.937 \| good	10.197 \| good	0.15 \| good
2025-11-18T12:00:00.000Z	27 \| good	5.32 \| good	8.197 \| good	25.683 \| good	0.621 \| good	7.343 \| good	0.139 \| good
2025-11-18T13:00:00.000Z	27 \| good	4.404 \| good	7.066 \| good	28.757 \| good	0.373 \| good	5.567 \| good	0.132 \| good
2025-11-18T14:00:00.000Z	28 \| good	3.765 \| good	5.125 \| good	29.528 \| good	0.362 \| good	5.404 \| good	0.13 \| good
2025-11-18T15:00:00.000Z	27 \| good	3.093 \| good	4.849 \| good	29.303 \| good	0.362 \| good	6.766 \| good	0.131 \| good
2025-11-18T16:00:00.000Z	25 \| good	3.024 \| good	4.76 \| good	26.738 \| good	0.394 \| good	7.705 \| good	0.134 \| good
2025-11-18T17:00:00.000Z	23 \| good	3.824 \| good	5.72 \| good	25.142 \| good	0.434 \| good	8.79 \| good	0.135 \| good
2025-11-18T18:00:00.000Z	23 \| good	4.432 \| good	6.756 \| good	24.586 \| good	0.489 \| good	10.054 \| good	0.14 \| good
2025-11-18T19:00:00.000Z	27 \| good	5.271 \| good	7.642 \| good	23.195 \| good	0.438 \| good	10.873 \| good	0.144 \| good
2025-11-18T20:00:00.000Z	33 \| good	6.383 \| good	8.901 \| good	21.482 \| good	0.55 \| good	11.166 \| good	0.148 \| good
2025-11-18T21:00:00.000Z	44 \| good	7.502 \| good	9.517 \| good	19.924 \| good	0.631 \| good	11.215 \| good	0.158 \| good
2025-11-18T22:00:00.000Z	44 \| good	7.527 \| good	9.023 \| good	19.364 \| good	0.641 \| good	12.013 \| good	0.153 \| good
2025-11-18T23:00:00.000Z	38 \| good	6.601 \| good	7.839 \| good	23.076 \| good	0.55 \| good	7.43 \| good	0.14 \| good
2025-11-19T00:00:00.000Z	33 \| good	5.741 \| good	6.323 \| good	22.609 \| good	0.318 \| good	6.535 \| good	0.141 \| good

Thorne

Get reliable air quality data to drive your business

Thorne, South Yorkshire air quality map: Stay updated on AQI near you

0.19ppm

How accurate is South Yorkshire, UK air quality data?

Air quality and pollutant data for South Yorkshire, UK are sourced from ground-based monitors and satellites, adhering to US EPA standards. Machine learning and advanced algorithms enhance the data by incorporating local variables like traffic and population density, ensuring high accuracy and dependability.

Source: Ambee Data Sources

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Frequently asked questions

How often is air quality information updated for Thorne, South Yorkshire?

The air quality information for Thorne, South Yorkshire is updated every hour for accuracy.

What time in the last 24 hours was the air quality in Thorne, South Yorkshire at its worst?

In the past 24 hours, the air quality in Thorne, South Yorkshire was at its worst at 04:00:00 on 2025-11-16.

When did Thorne, South Yorkshire experience the best air quality in the last 24 hours?

In the last 24 hours, the best air quality in Thorne, South Yorkshire was observed at 09:00:00 on 2025-11-16.

What is the AQI in Thorne, South Yorkshire right now?

As of now, the AQI in Thorne, South Yorkshire is 27, indicating Good conditions.

What is the most common type of pollution in Thorne, South Yorkshire?

Thorne, South Yorkshire air has the highest levels of PM2.5.

What should I do in case of poor air quality in Thorne, South Yorkshire?

Poor air quality in Thorne, South Yorkshire means it's advisable to stay indoors and wear a mask for your protection.

What is the PM_2.5 level in Thorne, South Yorkshire at the moment?

PM_2.5 levels in Thorne, South Yorkshire are currently 5.193 μg/m³.

What is the PM₁₀ level in Thorne, South Yorkshire at the moment?

The PM₁₀ concentration in Thorne, South Yorkshire is 11.616 μg/m³ at the moment.

What is the carbon monoxide (CO) level in Thorne, South Yorkshire at the moment?

The current carbon monoxide (CO) concentration in Thorne, South Yorkshire is 1.204 ppm.

What is the sulfur dioxide (SO₂) level in Thorne, South Yorkshire at the moment?

Currently, Thorne, South Yorkshire has a sulfur dioxide (SO₂) concentration of 0.451 ppb.

What is the ozone (O₃) level in Thorne, South Yorkshire at the moment?

The current ozone (O₃) level in Thorne, South Yorkshire at the moment is 24.594 ppm.

What is the nitrogen dioxide (NO₂) level in Thorne, South Yorkshire at the moment?

Nitrogen dioxide (NO₂) level in Thorne, South Yorkshire at the moment is 4.664 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-11-15T01:00:00.000Z	33 \| good	3.591 \| good	12.743 \| good	35.685 \| good	0.444 \| good	1.678 \| good	1.37 \| good
2025-11-15T02:00:00.000Z	32 \| good	3.586 \| good	11.569 \| good	35.321 \| good	0.445 \| good	2.397 \| good	1.406 \| good
2025-11-15T03:00:00.000Z	33 \| good	3.583 \| good	12.225 \| good	36.289 \| good	0.529 \| good	1.181 \| good	1.35 \| good
2025-11-15T04:00:00.000Z	33 \| good	3.581 \| good	11.286 \| good	36.352 \| good	0.53 \| good	1.418 \| good	1.024 \| good
2025-11-15T05:00:00.000Z	34 \| good	3.788 \| good	11.462 \| good	36.559 \| good	0.447 \| good	0.988 \| good	0.943 \| good
2025-11-15T06:00:00.000Z	34 \| good	3.791 \| good	11.365 \| good	37.46 \| good	0.447 \| good	0.848 \| good	0.122 \| good
2025-11-15T07:00:00.000Z	33 \| good	3.819 \| good	11.792 \| good	35.923 \| good	0.447 \| good	1.46 \| good	0.121 \| good
2025-11-15T08:00:00.000Z	33 \| good	3.827 \| good	11.027 \| good	36.136 \| good	0.447 \| good	2.338 \| good	0.131 \| good
2025-11-15T09:00:00.000Z	32 \| good	3.755 \| good	11.483 \| good	34.915 \| good	0.447 \| good	4.007 \| good	0.122 \| good
2025-11-15T10:00:00.000Z	31 \| good	4.24 \| good	13.19 \| good	34.356 \| good	0.449 \| good	4.294 \| good	0.104 \| good
2025-11-15T11:00:00.000Z	30 \| good	3.753 \| good	12.76 \| good	31.846 \| good	0.537 \| good	5.09 \| good	0.081 \| good
2025-11-15T12:00:00.000Z	31 \| good	3.969 \| good	13.471 \| good	34.352 \| good	0.449 \| good	5.528 \| good	0.061 \| good
2025-11-15T13:00:00.000Z	30 \| good	4.241 \| good	11.222 \| good	31.677 \| good	0.445 \| good	6.507 \| good	0.049 \| good
2025-11-15T14:00:00.000Z	29 \| good	3.889 \| good	11.07 \| good	31.347 \| good	0.541 \| good	7.31 \| good	0.048 \| good
2025-11-15T15:00:00.000Z	29 \| good	3.486 \| good	10.121 \| good	30.946 \| good	0.453 \| good	6.826 \| good	0.05 \| good
2025-11-15T16:00:00.000Z	30 \| good	4.176 \| good	12.868 \| good	31.915 \| good	0.453 \| good	7.084 \| good	0.099 \| good
2025-11-15T17:00:00.000Z	31 \| good	4.173 \| good	14.376 \| good	33.167 \| good	0.447 \| good	9.745 \| good	0.156 \| good
2025-11-15T18:00:00.000Z	30 \| good	4.15 \| good	13.711 \| good	31.726 \| good	0.552 \| good	11.431 \| good	0.217 \| good
2025-11-15T19:00:00.000Z	24 \| good	3.993 \| good	10.584 \| good	26.391 \| good	0.456 \| good	11.547 \| good	0.192 \| good
2025-11-15T20:00:00.000Z	26 \| good	4.037 \| good	12.819 \| good	27.57 \| good	0.454 \| good	10.91 \| good	0.268 \| good
2025-11-15T21:00:00.000Z	24 \| good	4.257 \| good	14.861 \| good	26.052 \| good	0.447 \| good	9.386 \| good	0.23 \| good
2025-11-15T22:00:00.000Z	24 \| good	4.243 \| good	14.695 \| good	26.129 \| good	0.446 \| good	5.46 \| good	0.291 \| good
2025-11-15T23:00:00.000Z	24 \| good	4.214 \| good	13.799 \| good	25.858 \| good	0.451 \| good	6.973 \| good	0.152 \| good
2025-11-16T00:00:00.000Z	27 \| good	4.766 \| good	13.87 \| good	25.819 \| good	0.446 \| good	5.38 \| good	0.989 \| good
2025-11-16T01:00:00.000Z	27 \| good	4.597 \| good	15.151 \| good	26.244 \| good	0.446 \| good	5.27 \| good	1.449 \| good
2025-11-16T02:00:00.000Z	24 \| good	4.387 \| good	13.257 \| good	26.326 \| good	0.446 \| good	3.209 \| good	1.348 \| good
2025-11-16T03:00:00.000Z	24 \| good	4.363 \| good	15.391 \| good	26.005 \| good	0.451 \| good	2.721 \| good	0.879 \| good
2025-11-16T04:00:00.000Z	27 \| good	4.664 \| good	12.078 \| good	27.384 \| good	0.446 \| good	3.975 \| good	0.747 \| good
2025-11-16T05:00:00.000Z	27 \| good	4.635 \| good	14.164 \| good	28.297 \| good	0.452 \| good	2.139 \| good	0.738 \| good
2025-11-16T06:00:00.000Z	28 \| good	4.658 \| good	14.501 \| good	29.975 \| good	0.452 \| good	2.607 \| good	0.082 \| good
2025-11-16T07:00:00.000Z	27 \| good	4.605 \| good	15.673 \| good	27.346 \| good	0.542 \| good	2.285 \| good	0.093 \| good
2025-11-16T08:00:00.000Z	25 \| good	4.047 \| good	15.49 \| good	26.878 \| good	0.452 \| good	2.202 \| good	0.103 \| good
2025-11-16T09:00:00.000Z	24 \| good	4.369 \| good	14.33 \| good	26.481 \| good	0.453 \| good	3.034 \| good	0.094 \| good
2025-11-16T10:00:00.000Z	25 \| good	4.369 \| good	14.238 \| good	27.329 \| good	0.505 \| good	6.074 \| good	0.096 \| good
2025-11-16T11:00:00.000Z	26 \| good	4.333 \| good	15.986 \| good	28.079 \| good	0.451 \| good	10.953 \| good	0.081 \| good
2025-11-16T12:00:00.000Z	27 \| good	4.096 \| good	13.289 \| good	29.385 \| good	0.445 \| good	11.067 \| good	0.059 \| good
2025-11-16T13:00:00.000Z	28 \| good	4.303 \| good	14.831 \| good	29.733 \| good	0.588 \| good	10.266 \| good	0.053 \| good
2025-11-16T14:00:00.000Z	31 \| good	4.213 \| good	14.252 \| good	32.91 \| good	0.509 \| good	9.952 \| good	0.054 \| good
2025-11-16T15:00:00.000Z	29 \| good	4.325 \| good	13.329 \| good	30.811 \| good	0.511 \| good	11.441 \| good	0.068 \| good
2025-11-16T16:00:00.000Z	31 \| good	4.324 \| good	14.79 \| good	32.643 \| good	0.467 \| good	12.603 \| good	0.152 \| good
2025-11-16T17:00:00.000Z	30 \| good	4.295 \| good	16.642 \| good	31.922 \| good	0.382 \| good	16.719 \| good	0.159 \| good
2025-11-16T18:00:00.000Z	28 \| good	4.681 \| good	14.859 \| good	30.085 \| good	0.382 \| good	12.169 \| good	0.174 \| good
2025-11-16T19:00:00.000Z	27 \| good	4.103 \| good	14.699 \| good	28.766 \| good	0.548 \| good	8.681 \| good	0.156 \| good
2025-11-16T20:00:00.000Z	27 \| good	4.628 \| good	16.426 \| good	29.29 \| good	0.449 \| good	8.053 \| good	0.163 \| good
2025-11-16T21:00:00.000Z	29 \| good	4.406 \| good	11.991 \| good	30.686 \| good	0.541 \| good	8.321 \| good	0.146 \| good
2025-11-16T22:00:00.000Z	27 \| good	4.738 \| good	15.35 \| good	23.902 \| good	0.45 \| good	8.803 \| good	0.197 \| good
2025-11-16T23:00:00.000Z	27 \| good	4.917 \| good	17.907 \| good	22.717 \| good	0.449 \| good	8.477 \| good	0.188 \| good
2025-11-17T00:00:00.000Z	27 \| good	5.193 \| good	11.616 \| good	24.594 \| good	0.451 \| good	4.664 \| good	1.204 \| good
2025-11-17T00:00:00.000Z	27 \| good	5.193 \| good	11.616 \| good	24.594 \| good	0.451 \| good	4.664 \| good	1.204 \| good
2025-11-17T01:00:00.000Z	28 \| good	3.328 \| good	7.746 \| good	29.569 \| good	0.268 \| good	2.372 \| good	0.121 \| good
2025-11-17T02:00:00.000Z	29 \| good	3.064 \| good	7.144 \| good	30.742 \| good	0.243 \| good	2.026 \| good	0.119 \| good
2025-11-17T03:00:00.000Z	29 \| good	2.764 \| good	6.699 \| good	30.804 \| good	0.22 \| good	1.68 \| good	0.12 \| good
2025-11-17T04:00:00.000Z	28 \| good	2.625 \| good	6.309 \| good	30.434 \| good	0.2 \| good	1.4 \| good	0.12 \| good
2025-11-17T05:00:00.000Z	28 \| good	2.652 \| good	6.643 \| good	30.06 \| good	0.204 \| good	1.334 \| good	0.12 \| good
2025-11-17T06:00:00.000Z	28 \| good	3.132 \| good	9.008 \| good	30.352 \| good	0.23 \| good	1.35 \| good	0.121 \| good
2025-11-17T07:00:00.000Z	28 \| good	3.39 \| good	9.803 \| good	29.819 \| good	0.296 \| good	1.738 \| good	0.126 \| good
2025-11-17T08:00:00.000Z	27 \| good	3.582 \| good	9.898 \| good	29.286 \| good	0.422 \| good	2.819 \| good	0.132 \| good
2025-11-17T09:00:00.000Z	27 \| good	4.141 \| good	9.871 \| good	28.936 \| good	0.494 \| good	3.395 \| good	0.135 \| good
2025-11-17T10:00:00.000Z	28 \| good	4.142 \| good	9.956 \| good	30.129 \| good	0.504 \| good	3.174 \| good	0.135 \| good
2025-11-17T11:00:00.000Z	30 \| good	4.062 \| good	11.074 \| good	31.839 \| good	0.484 \| good	2.904 \| good	0.134 \| good
2025-11-17T12:00:00.000Z	30 \| good	3.951 \| good	11.057 \| good	32.045 \| good	0.454 \| good	2.66 \| good	0.134 \| good
2025-11-17T13:00:00.000Z	31 \| good	3.953 \| good	10.764 \| good	33.354 \| good	0.441 \| good	2.573 \| good	0.134 \| good
2025-11-17T14:00:00.000Z	30 \| good	3.973 \| good	10.878 \| good	31.924 \| good	0.422 \| good	2.745 \| good	0.136 \| good
2025-11-17T15:00:00.000Z	29 \| good	3.97 \| good	11.115 \| good	30.58 \| good	0.421 \| good	3.142 \| good	0.137 \| good
2025-11-17T16:00:00.000Z	25 \| good	4.4 \| good	12.011 \| good	27.207 \| good	0.51 \| good	4.37 \| good	0.142 \| good
2025-11-17T17:00:00.000Z	33 \| good	5.7 \| good	13.309 \| good	23.552 \| good	0.623 \| good	7.127 \| good	0.152 \| good
2025-11-17T18:00:00.000Z	44 \| good	7.536 \| good	15.665 \| good	18.86 \| good	0.831 \| good	10.706 \| good	0.169 \| good
2025-11-17T19:00:00.000Z	52 \| moderate	9.686 \| good	17.714 \| good	12.648 \| good	1.033 \| good	16.029 \| good	0.193 \| good
2025-11-17T20:00:00.000Z	56 \| moderate	11.568 \| good	18.716 \| good	8.093 \| good	1.102 \| good	19.049 \| good	0.206 \| good
2025-11-17T21:00:00.000Z	56 \| moderate	12.115 \| fine	19.555 \| good	9.748 \| good	1.124 \| good	18.544 \| good	0.204 \| good
2025-11-17T22:00:00.000Z	56 \| moderate	11.706 \| good	20.659 \| good	9.911 \| good	1.012 \| good	16.173 \| good	0.197 \| good
2025-11-17T23:00:00.000Z	56 \| moderate	11.955 \| good	21.246 \| good	11.276 \| good	0.863 \| good	14.65 \| good	0.193 \| good
2025-11-18T00:00:00.000Z	58 \| moderate	12.545 \| fine	21.093 \| good	11.099 \| good	0.78 \| good	14.025 \| good	0.188 \| good
2025-11-18T01:00:00.000Z	58 \| moderate	12.68 \| fine	19.725 \| good	11.937 \| good	0.692 \| good	14.204 \| good	0.182 \| good
2025-11-18T02:00:00.000Z	56 \| moderate	12.237 \| fine	17.552 \| good	12.138 \| good	0.718 \| good	11.931 \| good	0.176 \| good
2025-11-18T03:00:00.000Z	56 \| moderate	12.139 \| fine	16.97 \| good	16.852 \| good	0.706 \| good	10.62 \| good	0.164 \| good
2025-11-18T04:00:00.000Z	52 \| moderate	9.908 \| good	14.049 \| good	18.589 \| good	0.648 \| good	10.419 \| good	0.157 \| good
2025-11-18T05:00:00.000Z	38 \| good	7.242 \| good	10.832 \| good	19.894 \| good	0.66 \| good	8.507 \| good	0.152 \| good
2025-11-18T06:00:00.000Z	38 \| good	6.635 \| good	10.005 \| good	20.325 \| good	0.645 \| good	7.668 \| good	0.147 \| good
2025-11-18T07:00:00.000Z	38 \| good	7.03 \| good	11.074 \| good	20.244 \| good	0.718 \| good	7.689 \| good	0.141 \| good
2025-11-18T08:00:00.000Z	44 \| good	7.622 \| good	12.627 \| good	19.281 \| good	0.811 \| good	9.863 \| good	0.147 \| good
2025-11-18T09:00:00.000Z	44 \| good	7.784 \| good	13.245 \| good	18.713 \| good	0.853 \| good	11.704 \| good	0.152 \| good
2025-11-18T10:00:00.000Z	44 \| good	7.589 \| good	12.353 \| good	20.625 \| good	0.943 \| good	11.613 \| good	0.15 \| good
2025-11-18T11:00:00.000Z	38 \| good	6.803 \| good	10.183 \| good	21.817 \| good	0.937 \| good	10.197 \| good	0.15 \| good
2025-11-18T12:00:00.000Z	27 \| good	5.32 \| good	8.197 \| good	25.683 \| good	0.621 \| good	7.343 \| good	0.139 \| good
2025-11-18T13:00:00.000Z	27 \| good	4.404 \| good	7.066 \| good	28.757 \| good	0.373 \| good	5.567 \| good	0.132 \| good
2025-11-18T14:00:00.000Z	28 \| good	3.765 \| good	5.125 \| good	29.528 \| good	0.362 \| good	5.404 \| good	0.13 \| good
2025-11-18T15:00:00.000Z	27 \| good	3.093 \| good	4.849 \| good	29.303 \| good	0.362 \| good	6.766 \| good	0.131 \| good
2025-11-18T16:00:00.000Z	25 \| good	3.024 \| good	4.76 \| good	26.738 \| good	0.394 \| good	7.705 \| good	0.134 \| good
2025-11-18T17:00:00.000Z	23 \| good	3.824 \| good	5.72 \| good	25.142 \| good	0.434 \| good	8.79 \| good	0.135 \| good
2025-11-18T18:00:00.000Z	23 \| good	4.432 \| good	6.756 \| good	24.586 \| good	0.489 \| good	10.054 \| good	0.14 \| good
2025-11-18T19:00:00.000Z	27 \| good	5.271 \| good	7.642 \| good	23.195 \| good	0.438 \| good	10.873 \| good	0.144 \| good
2025-11-18T20:00:00.000Z	33 \| good	6.383 \| good	8.901 \| good	21.482 \| good	0.55 \| good	11.166 \| good	0.148 \| good
2025-11-18T21:00:00.000Z	44 \| good	7.502 \| good	9.517 \| good	19.924 \| good	0.631 \| good	11.215 \| good	0.158 \| good
2025-11-18T22:00:00.000Z	44 \| good	7.527 \| good	9.023 \| good	19.364 \| good	0.641 \| good	12.013 \| good	0.153 \| good
2025-11-18T23:00:00.000Z	38 \| good	6.601 \| good	7.839 \| good	23.076 \| good	0.55 \| good	7.43 \| good	0.14 \| good
2025-11-19T00:00:00.000Z	33 \| good	5.741 \| good	6.323 \| good	22.609 \| good	0.318 \| good	6.535 \| good	0.141 \| good

Live air quality index in Thorne, South Yorkshire today

Major air pollutants in Thorne, South Yorkshire

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

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Thorne, South Yorkshire air quality map: Stay updated on AQI near you

Air quality in nearby cities

Dunscroft, South Yorkshire

Kirk Sandall, South Yorkshire

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Bentley, South Yorkshire

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Air quality levels in UK

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What is the PM2.5 level in Thorne, South Yorkshire at the moment?

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What is the sulfur dioxide (SO2) level in Thorne, South Yorkshire at the moment?

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What is the nitrogen dioxide (NO2) level in Thorne, South Yorkshire at the moment?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What is the PM_2.5 level in Thorne, South Yorkshire at the moment?

What is the PM₁₀ level in Thorne, South Yorkshire at the moment?

What is the sulfur dioxide (SO₂) level in Thorne, South Yorkshire at the moment?

What is the ozone (O₃) level in Thorne, South Yorkshire at the moment?

What is the nitrogen dioxide (NO₂) level in Thorne, South Yorkshire at the moment?