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

Currently, Mexborough, South Yorkshire has a sulfur dioxide (SO2) concentration of 0.818 ppb.

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

The current ozone (O3) level in Mexborough, South Yorkshire at the moment is 36.916 ppm.

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

Nitrogen dioxide (NO2) level in Mexborough, South Yorkshire at the moment is 3.879 ppb.

Live air quality index in Mexborough, South Yorkshire today

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

PM2.5 levels in Mexborough, South Yorkshire are currently 4.184 μg/m3.

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

The PM10 concentration in Mexborough, South Yorkshire is 11.15 μg/m3 at the moment.

Stay updated with real-time air quality in Mexborough, 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

Mexborough, South Yorkshire

Last updated: ... (Local time)

Major air pollutants in Mexborough, South Yorkshire

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

4.18 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

11.15 μg/m³

155

255

425

605+

Ozone (O₃)

36.92 ppb

201

201+

Sulfur Dioxide (SO₂)

0.82 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

3.88 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.07 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

High

Mexborough, South Yorkshire

Get Live Pollen Counts

Mexborough, South Yorkshire

Scroll To Air Quality Map

Track live Mexborough, South Yorkshire air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-03-27T23:00:00.000Z	28 \| good	5.4 \| good	15.936 \| good	29.684 \| good	0.813 \| good	4.141 \| good	0.079 \| good
2026-03-28T00:00:00.000Z	32 \| good	5.226 \| good	13.366 \| good	34.522 \| good	0.597 \| good	4.551 \| good	0.273 \| good
2026-03-28T01:00:00.000Z	29 \| good	4.888 \| good	15.631 \| good	30.976 \| good	0.639 \| good	4.563 \| good	0.23 \| good
2026-03-28T02:00:00.000Z	31 \| good	4.879 \| good	12.615 \| good	33.722 \| good	0.679 \| good	4.104 \| good	0.217 \| good
2026-03-28T03:00:00.000Z	33 \| good	5.323 \| good	12.199 \| good	35.968 \| good	0.468 \| good	3.135 \| good	0.209 \| good
2026-03-28T04:00:00.000Z	33 \| good	6 \| good	10.814 \| good	35.327 \| good	0.506 \| good	2.472 \| good	0.204 \| good
2026-03-28T05:00:00.000Z	33 \| good	6 \| good	12.955 \| good	33.078 \| good	0.55 \| good	3.179 \| good	0.2 \| good
2026-03-28T06:00:00.000Z	33 \| good	6.128 \| good	15.82 \| good	34.779 \| good	0.47 \| good	2.273 \| good	0.198 \| good
2026-03-28T07:00:00.000Z	33 \| good	6.126 \| good	13.1 \| good	34.493 \| good	0.472 \| good	1.954 \| good	0.057 \| good
2026-03-28T08:00:00.000Z	33 \| good	6.356 \| good	19.981 \| good	36.15 \| good	0.602 \| good	3.353 \| good	0.065 \| good
2026-03-28T09:00:00.000Z	38 \| good	6.566 \| good	17.202 \| good	36.534 \| good	0.811 \| good	3.323 \| good	0.07 \| good
2026-03-28T10:00:00.000Z	38 \| good	6.595 \| good	15.712 \| good	36.467 \| good	0.657 \| good	3.455 \| good	0.077 \| good
2026-03-28T11:00:00.000Z	38 \| good	7.168 \| good	19.904 \| good	35.59 \| good	0.731 \| good	3.973 \| good	0.079 \| good
2026-03-28T12:00:00.000Z	38 \| good	7.166 \| good	18.154 \| good	36.517 \| good	0.731 \| good	4.125 \| good	0.075 \| good
2026-03-28T13:00:00.000Z	38 \| good	7.162 \| good	26.103 \| good	36.377 \| good	0.731 \| good	4.04 \| good	0.075 \| good
2026-03-28T14:00:00.000Z	38 \| good	7.424 \| good	25.35 \| good	39.167 \| good	0.731 \| good	4.81 \| good	0.072 \| good
2026-03-28T15:00:00.000Z	38 \| good	7.253 \| good	23.86 \| good	38.488 \| good	0.857 \| good	4.069 \| good	0.086 \| good
2026-03-28T16:00:00.000Z	38 \| good	7.183 \| good	19.878 \| good	37.34 \| good	0.904 \| good	4.077 \| good	0.075 \| good
2026-03-28T17:00:00.000Z	38 \| good	6.849 \| good	22.339 \| good	38.942 \| good	0.819 \| good	3.933 \| good	0.077 \| good
2026-03-28T18:00:00.000Z	38 \| good	6.677 \| good	15.265 \| good	39.18 \| good	0.734 \| good	4.111 \| good	0.075 \| good
2026-03-28T19:00:00.000Z	36 \| good	6.29 \| good	16.146 \| good	38.632 \| good	0.733 \| good	4.613 \| good	0.087 \| good
2026-03-28T20:00:00.000Z	36 \| good	6.301 \| good	13.494 \| good	38.891 \| good	0.733 \| good	4.914 \| good	0.089 \| good
2026-03-28T21:00:00.000Z	36 \| good	6.153 \| good	16.053 \| good	39.302 \| good	0.601 \| good	4.749 \| good	0.08 \| good
2026-03-28T22:00:00.000Z	36 \| good	6.15 \| good	19.018 \| good	39.397 \| good	0.644 \| good	5.322 \| good	0.083 \| good
2026-03-28T23:00:00.000Z	35 \| good	5.92 \| good	17.219 \| good	38.306 \| good	0.727 \| good	6.177 \| good	0.079 \| good
2026-03-29T00:00:00.000Z	33 \| good	6.284 \| good	17.895 \| good	35.597 \| good	0.681 \| good	6.901 \| good	0.266 \| good
2026-03-29T01:00:00.000Z	33 \| good	5.89 \| good	17.218 \| good	36.11 \| good	0.725 \| good	5.537 \| good	0.264 \| good
2026-03-29T02:00:00.000Z	33 \| good	5.897 \| good	16.436 \| good	36.415 \| good	0.597 \| good	4.999 \| good	0.247 \| good
2026-03-29T03:00:00.000Z	33 \| good	5.884 \| good	14.42 \| good	33.355 \| good	0.598 \| good	6.183 \| good	0.299 \| good
2026-03-29T04:00:00.000Z	33 \| good	5.637 \| good	15.81 \| good	33.057 \| good	0.464 \| good	5.601 \| good	0.285 \| good
2026-03-29T05:00:00.000Z	33 \| good	5.542 \| good	17.33 \| good	34.726 \| good	0.466 \| good	5.181 \| good	0.078 \| good
2026-03-29T06:00:00.000Z	33 \| good	5.588 \| good	17.508 \| good	33.887 \| good	0.551 \| good	8.413 \| good	0.075 \| good
2026-03-29T07:00:00.000Z	33 \| good	5.687 \| good	12.964 \| good	27.722 \| good	0.559 \| good	7.463 \| good	0.075 \| good
2026-03-29T08:00:00.000Z	27 \| good	4.81 \| good	15.783 \| good	24.669 \| good	0.725 \| good	5.666 \| good	0.081 \| good
2026-03-29T09:00:00.000Z	33 \| good	5.668 \| good	12.611 \| good	26.256 \| good	0.814 \| good	6.814 \| good	0.092 \| good
2026-03-29T10:00:00.000Z	27 \| good	5.403 \| good	16.957 \| good	24.639 \| good	0.522 \| good	7.605 \| good	0.089 \| good
2026-03-29T11:00:00.000Z	33 \| good	5.506 \| good	16.589 \| good	27.224 \| good	0.522 \| good	5.991 \| good	0.07 \| good
2026-03-29T12:00:00.000Z	29 \| good	5.441 \| good	17.304 \| good	31.009 \| good	0.645 \| good	5.73 \| good	0.068 \| good
2026-03-29T13:00:00.000Z	27 \| good	5.208 \| good	11.852 \| good	29.092 \| good	0.768 \| good	6.116 \| good	0.078 \| good
2026-03-29T14:00:00.000Z	28 \| good	5.041 \| good	14.146 \| good	29.737 \| good	0.729 \| good	4.86 \| good	0.073 \| good
2026-03-29T15:00:00.000Z	31 \| good	5.034 \| good	15.428 \| good	33.443 \| good	0.729 \| good	4.53 \| good	0.076 \| good
2026-03-29T16:00:00.000Z	32 \| good	4.823 \| good	11.761 \| good	34.613 \| good	0.706 \| good	6.621 \| good	0.076 \| good
2026-03-29T17:00:00.000Z	32 \| good	4.524 \| good	10.031 \| good	34.654 \| good	0.789 \| good	4.494 \| good	0.075 \| good
2026-03-29T18:00:00.000Z	32 \| good	4.467 \| good	14.5 \| good	35.411 \| good	0.873 \| good	3.197 \| good	0.073 \| good
2026-03-29T19:00:00.000Z	34 \| good	4.26 \| good	12.312 \| good	37.171 \| good	0.927 \| good	4.136 \| good	0.083 \| good
2026-03-29T20:00:00.000Z	32 \| good	4.21 \| good	12.167 \| good	35.295 \| good	1.076 \| good	3.897 \| good	0.106 \| good
2026-03-29T21:00:00.000Z	34 \| good	4.184 \| good	11.15 \| good	36.916 \| good	0.818 \| good	3.879 \| good	0.072 \| good
2026-03-29T22:00:00.000Z	34 \| good	4.184 \| good	11.15 \| good	36.916 \| good	0.818 \| good	3.879 \| good	0.072 \| good
2026-03-29T23:00:00.000Z	44 \| good	6.169 \| good	11.8 \| good	47.204 \| good	0.212 \| good	1.927 \| good	0.117 \| good
2026-03-30T00:00:00.000Z	43 \| good	6.159 \| good	12.127 \| good	46.489 \| good	0.211 \| good	1.873 \| good	0.118 \| good
2026-03-30T01:00:00.000Z	42 \| good	5.929 \| good	12.058 \| good	45.363 \| good	0.21 \| good	1.811 \| good	0.118 \| good
2026-03-30T02:00:00.000Z	42 \| good	5.441 \| good	11.569 \| good	44.781 \| good	0.193 \| good	1.622 \| good	0.117 \| good
2026-03-30T03:00:00.000Z	41 \| good	5.342 \| good	12.715 \| good	44.424 \| good	0.221 \| good	1.427 \| good	0.117 \| good
2026-03-30T04:00:00.000Z	41 \| good	5.181 \| good	12.598 \| good	44.24 \| good	0.225 \| good	1.387 \| good	0.117 \| good
2026-03-30T05:00:00.000Z	41 \| good	5.297 \| good	12.813 \| good	44.409 \| good	0.236 \| good	1.665 \| good	0.118 \| good
2026-03-30T06:00:00.000Z	41 \| good	5.453 \| good	13.495 \| good	44.468 \| good	0.288 \| good	2.16 \| good	0.121 \| good
2026-03-30T07:00:00.000Z	41 \| good	5.546 \| good	12.741 \| good	44 \| good	0.299 \| good	3.12 \| good	0.126 \| good
2026-03-30T08:00:00.000Z	42 \| good	5.102 \| good	11.033 \| good	44.573 \| good	0.313 \| good	3 \| good	0.128 \| good
2026-03-30T09:00:00.000Z	43 \| good	4.715 \| good	10.461 \| good	46.423 \| good	0.288 \| good	2.575 \| good	0.127 \| good
2026-03-30T10:00:00.000Z	44 \| good	4.592 \| good	9.73 \| good	47.328 \| good	0.234 \| good	1.936 \| good	0.126 \| good
2026-03-30T11:00:00.000Z	44 \| good	4.505 \| good	9.784 \| good	48.117 \| good	0.206 \| good	1.609 \| good	0.125 \| good
2026-03-30T12:00:00.000Z	45 \| good	4.302 \| good	10.292 \| good	49.081 \| good	0.199 \| good	1.442 \| good	0.124 \| good
2026-03-30T13:00:00.000Z	46 \| good	4.119 \| good	10.58 \| good	50.075 \| good	0.191 \| good	1.398 \| good	0.123 \| good
2026-03-30T14:00:00.000Z	47 \| good	4.037 \| good	10.42 \| good	51.211 \| good	0.188 \| good	1.303 \| good	0.124 \| good
2026-03-30T15:00:00.000Z	47 \| good	3.907 \| good	10.067 \| good	51.486 \| good	0.187 \| good	1.43 \| good	0.124 \| good
2026-03-30T16:00:00.000Z	48 \| good	3.916 \| good	9.712 \| good	51.728 \| good	0.213 \| good	1.628 \| good	0.124 \| good
2026-03-30T17:00:00.000Z	46 \| good	3.93 \| good	9.4 \| good	50.412 \| good	0.235 \| good	2.099 \| good	0.126 \| good
2026-03-30T18:00:00.000Z	45 \| good	4.388 \| good	9.727 \| good	48.92 \| good	0.278 \| good	2.845 \| good	0.13 \| good
2026-03-30T19:00:00.000Z	44 \| good	4.701 \| good	9.957 \| good	47.285 \| good	0.341 \| good	3.417 \| good	0.128 \| good
2026-03-30T20:00:00.000Z	43 \| good	4.818 \| good	10.525 \| good	45.535 \| good	0.394 \| good	3.483 \| good	0.126 \| good
2026-03-30T21:00:00.000Z	41 \| good	4.895 \| good	11.043 \| good	44.431 \| good	0.389 \| good	3.427 \| good	0.126 \| good
2026-03-30T22:00:00.000Z	40 \| good	4.981 \| good	11.38 \| good	42.875 \| good	0.411 \| good	3.372 \| good	0.126 \| good
2026-03-30T23:00:00.000Z	39 \| good	4.91 \| good	11.41 \| good	42.015 \| good	0.436 \| good	3.255 \| good	0.126 \| good
2026-03-31T00:00:00.000Z	37 \| good	4.881 \| good	11.834 \| good	40.39 \| good	0.392 \| good	3.27 \| good	0.125 \| good
2026-03-31T01:00:00.000Z	36 \| good	5.163 \| good	12.539 \| good	38.714 \| good	0.345 \| good	2.877 \| good	0.124 \| good
2026-03-31T02:00:00.000Z	36 \| good	5.201 \| good	13.329 \| good	39.306 \| good	0.303 \| good	2.387 \| good	0.124 \| good
2026-03-31T03:00:00.000Z	36 \| good	5.192 \| good	13.943 \| good	38.872 \| good	0.28 \| good	2.117 \| good	0.124 \| good
2026-03-31T04:00:00.000Z	34 \| good	5.192 \| good	12.588 \| good	36.527 \| good	0.29 \| good	2.232 \| good	0.125 \| good
2026-03-31T05:00:00.000Z	31 \| good	5.48 \| good	9.461 \| good	33.172 \| good	0.356 \| good	2.944 \| good	0.125 \| good
2026-03-31T06:00:00.000Z	33 \| good	5.708 \| good	8.794 \| good	30.055 \| good	0.429 \| good	4.474 \| good	0.128 \| good
2026-03-31T07:00:00.000Z	33 \| good	5.827 \| good	8.841 \| good	28.09 \| good	0.446 \| good	6.401 \| good	0.139 \| good
2026-03-31T08:00:00.000Z	27 \| good	5.457 \| good	7.785 \| good	27.451 \| good	0.39 \| good	6.453 \| good	0.137 \| good
2026-03-31T09:00:00.000Z	27 \| good	5.004 \| good	6.839 \| good	26.785 \| good	0.363 \| good	5.096 \| good	0.13 \| good
2026-03-31T10:00:00.000Z	27 \| good	5.01 \| good	6.652 \| good	27.033 \| good	0.324 \| good	5.573 \| good	0.129 \| good
2026-03-31T11:00:00.000Z	28 \| good	4.193 \| good	6.623 \| good	30.497 \| good	0.262 \| good	4.288 \| good	0.126 \| good
2026-03-31T12:00:00.000Z	29 \| good	3.882 \| good	6.022 \| good	30.798 \| good	0.224 \| good	3.329 \| good	0.12 \| good
2026-03-31T13:00:00.000Z	30 \| good	3.113 \| good	5.749 \| good	32.072 \| good	0.203 \| good	3.034 \| good	0.117 \| good
2026-03-31T14:00:00.000Z	31 \| good	3.437 \| good	5.735 \| good	33.729 \| good	0.197 \| good	2.457 \| good	0.115 \| good
2026-03-31T15:00:00.000Z	31 \| good	3.828 \| good	5.966 \| good	34.267 \| good	0.202 \| good	2.458 \| good	0.116 \| good
2026-03-31T16:00:00.000Z	31 \| good	3.824 \| good	6.066 \| good	33.526 \| good	0.242 \| good	3.136 \| good	0.12 \| good
2026-03-31T17:00:00.000Z	31 \| good	4.227 \| good	6.605 \| good	32.79 \| good	0.285 \| good	3.937 \| good	0.125 \| good
2026-03-31T18:00:00.000Z	29 \| good	4.979 \| good	7.77 \| good	30.887 \| good	0.368 \| good	5.456 \| good	0.13 \| good
2026-03-31T19:00:00.000Z	33 \| good	6.38 \| good	9.469 \| good	27.476 \| good	0.507 \| good	8.827 \| good	0.138 \| good
2026-03-31T20:00:00.000Z	38 \| good	7.286 \| good	10.022 \| good	24.135 \| good	0.621 \| good	8.369 \| good	0.135 \| good
2026-03-31T21:00:00.000Z	44 \| good	8.288 \| good	11.028 \| good	24.78 \| good	0.586 \| good	8.124 \| good	0.135 \| good
2026-03-31T22:00:00.000Z	49 \| good	8.813 \| good	11.801 \| good	25.219 \| good	0.533 \| good	8.281 \| good	0.134 \| good

Mexborough

Get reliable air quality data to drive your business

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

0.07ppm

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 Mexborough, South Yorkshire?

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

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

In the past 24 hours, the air quality in Mexborough, South Yorkshire was at its worst at 10:00:00 on 2026-03-28.

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

In the last 24 hours, the best air quality in Mexborough, South Yorkshire was observed at 01:00:00 on 2026-03-29.

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

As of now, the AQI in Mexborough, South Yorkshire is 34, indicating Good conditions.

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

Mexborough, South Yorkshire air has the highest levels of O3.

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

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

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

PM_2.5 levels in Mexborough, South Yorkshire are currently 4.184 μg/m³.

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

The PM₁₀ concentration in Mexborough, South Yorkshire is 11.15 μg/m³ at the moment.

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

The current carbon monoxide (CO) concentration in Mexborough, South Yorkshire is 0.072 ppm.

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

Currently, Mexborough, South Yorkshire has a sulfur dioxide (SO₂) concentration of 0.818 ppb.

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

The current ozone (O₃) level in Mexborough, South Yorkshire at the moment is 36.916 ppm.

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

Nitrogen dioxide (NO₂) level in Mexborough, South Yorkshire at the moment is 3.879 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-03-27T23:00:00.000Z	28 \| good	5.4 \| good	15.936 \| good	29.684 \| good	0.813 \| good	4.141 \| good	0.079 \| good
2026-03-28T00:00:00.000Z	32 \| good	5.226 \| good	13.366 \| good	34.522 \| good	0.597 \| good	4.551 \| good	0.273 \| good
2026-03-28T01:00:00.000Z	29 \| good	4.888 \| good	15.631 \| good	30.976 \| good	0.639 \| good	4.563 \| good	0.23 \| good
2026-03-28T02:00:00.000Z	31 \| good	4.879 \| good	12.615 \| good	33.722 \| good	0.679 \| good	4.104 \| good	0.217 \| good
2026-03-28T03:00:00.000Z	33 \| good	5.323 \| good	12.199 \| good	35.968 \| good	0.468 \| good	3.135 \| good	0.209 \| good
2026-03-28T04:00:00.000Z	33 \| good	6 \| good	10.814 \| good	35.327 \| good	0.506 \| good	2.472 \| good	0.204 \| good
2026-03-28T05:00:00.000Z	33 \| good	6 \| good	12.955 \| good	33.078 \| good	0.55 \| good	3.179 \| good	0.2 \| good
2026-03-28T06:00:00.000Z	33 \| good	6.128 \| good	15.82 \| good	34.779 \| good	0.47 \| good	2.273 \| good	0.198 \| good
2026-03-28T07:00:00.000Z	33 \| good	6.126 \| good	13.1 \| good	34.493 \| good	0.472 \| good	1.954 \| good	0.057 \| good
2026-03-28T08:00:00.000Z	33 \| good	6.356 \| good	19.981 \| good	36.15 \| good	0.602 \| good	3.353 \| good	0.065 \| good
2026-03-28T09:00:00.000Z	38 \| good	6.566 \| good	17.202 \| good	36.534 \| good	0.811 \| good	3.323 \| good	0.07 \| good
2026-03-28T10:00:00.000Z	38 \| good	6.595 \| good	15.712 \| good	36.467 \| good	0.657 \| good	3.455 \| good	0.077 \| good
2026-03-28T11:00:00.000Z	38 \| good	7.168 \| good	19.904 \| good	35.59 \| good	0.731 \| good	3.973 \| good	0.079 \| good
2026-03-28T12:00:00.000Z	38 \| good	7.166 \| good	18.154 \| good	36.517 \| good	0.731 \| good	4.125 \| good	0.075 \| good
2026-03-28T13:00:00.000Z	38 \| good	7.162 \| good	26.103 \| good	36.377 \| good	0.731 \| good	4.04 \| good	0.075 \| good
2026-03-28T14:00:00.000Z	38 \| good	7.424 \| good	25.35 \| good	39.167 \| good	0.731 \| good	4.81 \| good	0.072 \| good
2026-03-28T15:00:00.000Z	38 \| good	7.253 \| good	23.86 \| good	38.488 \| good	0.857 \| good	4.069 \| good	0.086 \| good
2026-03-28T16:00:00.000Z	38 \| good	7.183 \| good	19.878 \| good	37.34 \| good	0.904 \| good	4.077 \| good	0.075 \| good
2026-03-28T17:00:00.000Z	38 \| good	6.849 \| good	22.339 \| good	38.942 \| good	0.819 \| good	3.933 \| good	0.077 \| good
2026-03-28T18:00:00.000Z	38 \| good	6.677 \| good	15.265 \| good	39.18 \| good	0.734 \| good	4.111 \| good	0.075 \| good
2026-03-28T19:00:00.000Z	36 \| good	6.29 \| good	16.146 \| good	38.632 \| good	0.733 \| good	4.613 \| good	0.087 \| good
2026-03-28T20:00:00.000Z	36 \| good	6.301 \| good	13.494 \| good	38.891 \| good	0.733 \| good	4.914 \| good	0.089 \| good
2026-03-28T21:00:00.000Z	36 \| good	6.153 \| good	16.053 \| good	39.302 \| good	0.601 \| good	4.749 \| good	0.08 \| good
2026-03-28T22:00:00.000Z	36 \| good	6.15 \| good	19.018 \| good	39.397 \| good	0.644 \| good	5.322 \| good	0.083 \| good
2026-03-28T23:00:00.000Z	35 \| good	5.92 \| good	17.219 \| good	38.306 \| good	0.727 \| good	6.177 \| good	0.079 \| good
2026-03-29T00:00:00.000Z	33 \| good	6.284 \| good	17.895 \| good	35.597 \| good	0.681 \| good	6.901 \| good	0.266 \| good
2026-03-29T01:00:00.000Z	33 \| good	5.89 \| good	17.218 \| good	36.11 \| good	0.725 \| good	5.537 \| good	0.264 \| good
2026-03-29T02:00:00.000Z	33 \| good	5.897 \| good	16.436 \| good	36.415 \| good	0.597 \| good	4.999 \| good	0.247 \| good
2026-03-29T03:00:00.000Z	33 \| good	5.884 \| good	14.42 \| good	33.355 \| good	0.598 \| good	6.183 \| good	0.299 \| good
2026-03-29T04:00:00.000Z	33 \| good	5.637 \| good	15.81 \| good	33.057 \| good	0.464 \| good	5.601 \| good	0.285 \| good
2026-03-29T05:00:00.000Z	33 \| good	5.542 \| good	17.33 \| good	34.726 \| good	0.466 \| good	5.181 \| good	0.078 \| good
2026-03-29T06:00:00.000Z	33 \| good	5.588 \| good	17.508 \| good	33.887 \| good	0.551 \| good	8.413 \| good	0.075 \| good
2026-03-29T07:00:00.000Z	33 \| good	5.687 \| good	12.964 \| good	27.722 \| good	0.559 \| good	7.463 \| good	0.075 \| good
2026-03-29T08:00:00.000Z	27 \| good	4.81 \| good	15.783 \| good	24.669 \| good	0.725 \| good	5.666 \| good	0.081 \| good
2026-03-29T09:00:00.000Z	33 \| good	5.668 \| good	12.611 \| good	26.256 \| good	0.814 \| good	6.814 \| good	0.092 \| good
2026-03-29T10:00:00.000Z	27 \| good	5.403 \| good	16.957 \| good	24.639 \| good	0.522 \| good	7.605 \| good	0.089 \| good
2026-03-29T11:00:00.000Z	33 \| good	5.506 \| good	16.589 \| good	27.224 \| good	0.522 \| good	5.991 \| good	0.07 \| good
2026-03-29T12:00:00.000Z	29 \| good	5.441 \| good	17.304 \| good	31.009 \| good	0.645 \| good	5.73 \| good	0.068 \| good
2026-03-29T13:00:00.000Z	27 \| good	5.208 \| good	11.852 \| good	29.092 \| good	0.768 \| good	6.116 \| good	0.078 \| good
2026-03-29T14:00:00.000Z	28 \| good	5.041 \| good	14.146 \| good	29.737 \| good	0.729 \| good	4.86 \| good	0.073 \| good
2026-03-29T15:00:00.000Z	31 \| good	5.034 \| good	15.428 \| good	33.443 \| good	0.729 \| good	4.53 \| good	0.076 \| good
2026-03-29T16:00:00.000Z	32 \| good	4.823 \| good	11.761 \| good	34.613 \| good	0.706 \| good	6.621 \| good	0.076 \| good
2026-03-29T17:00:00.000Z	32 \| good	4.524 \| good	10.031 \| good	34.654 \| good	0.789 \| good	4.494 \| good	0.075 \| good
2026-03-29T18:00:00.000Z	32 \| good	4.467 \| good	14.5 \| good	35.411 \| good	0.873 \| good	3.197 \| good	0.073 \| good
2026-03-29T19:00:00.000Z	34 \| good	4.26 \| good	12.312 \| good	37.171 \| good	0.927 \| good	4.136 \| good	0.083 \| good
2026-03-29T20:00:00.000Z	32 \| good	4.21 \| good	12.167 \| good	35.295 \| good	1.076 \| good	3.897 \| good	0.106 \| good
2026-03-29T21:00:00.000Z	34 \| good	4.184 \| good	11.15 \| good	36.916 \| good	0.818 \| good	3.879 \| good	0.072 \| good
2026-03-29T22:00:00.000Z	34 \| good	4.184 \| good	11.15 \| good	36.916 \| good	0.818 \| good	3.879 \| good	0.072 \| good
2026-03-29T23:00:00.000Z	44 \| good	6.169 \| good	11.8 \| good	47.204 \| good	0.212 \| good	1.927 \| good	0.117 \| good
2026-03-30T00:00:00.000Z	43 \| good	6.159 \| good	12.127 \| good	46.489 \| good	0.211 \| good	1.873 \| good	0.118 \| good
2026-03-30T01:00:00.000Z	42 \| good	5.929 \| good	12.058 \| good	45.363 \| good	0.21 \| good	1.811 \| good	0.118 \| good
2026-03-30T02:00:00.000Z	42 \| good	5.441 \| good	11.569 \| good	44.781 \| good	0.193 \| good	1.622 \| good	0.117 \| good
2026-03-30T03:00:00.000Z	41 \| good	5.342 \| good	12.715 \| good	44.424 \| good	0.221 \| good	1.427 \| good	0.117 \| good
2026-03-30T04:00:00.000Z	41 \| good	5.181 \| good	12.598 \| good	44.24 \| good	0.225 \| good	1.387 \| good	0.117 \| good
2026-03-30T05:00:00.000Z	41 \| good	5.297 \| good	12.813 \| good	44.409 \| good	0.236 \| good	1.665 \| good	0.118 \| good
2026-03-30T06:00:00.000Z	41 \| good	5.453 \| good	13.495 \| good	44.468 \| good	0.288 \| good	2.16 \| good	0.121 \| good
2026-03-30T07:00:00.000Z	41 \| good	5.546 \| good	12.741 \| good	44 \| good	0.299 \| good	3.12 \| good	0.126 \| good
2026-03-30T08:00:00.000Z	42 \| good	5.102 \| good	11.033 \| good	44.573 \| good	0.313 \| good	3 \| good	0.128 \| good
2026-03-30T09:00:00.000Z	43 \| good	4.715 \| good	10.461 \| good	46.423 \| good	0.288 \| good	2.575 \| good	0.127 \| good
2026-03-30T10:00:00.000Z	44 \| good	4.592 \| good	9.73 \| good	47.328 \| good	0.234 \| good	1.936 \| good	0.126 \| good
2026-03-30T11:00:00.000Z	44 \| good	4.505 \| good	9.784 \| good	48.117 \| good	0.206 \| good	1.609 \| good	0.125 \| good
2026-03-30T12:00:00.000Z	45 \| good	4.302 \| good	10.292 \| good	49.081 \| good	0.199 \| good	1.442 \| good	0.124 \| good
2026-03-30T13:00:00.000Z	46 \| good	4.119 \| good	10.58 \| good	50.075 \| good	0.191 \| good	1.398 \| good	0.123 \| good
2026-03-30T14:00:00.000Z	47 \| good	4.037 \| good	10.42 \| good	51.211 \| good	0.188 \| good	1.303 \| good	0.124 \| good
2026-03-30T15:00:00.000Z	47 \| good	3.907 \| good	10.067 \| good	51.486 \| good	0.187 \| good	1.43 \| good	0.124 \| good
2026-03-30T16:00:00.000Z	48 \| good	3.916 \| good	9.712 \| good	51.728 \| good	0.213 \| good	1.628 \| good	0.124 \| good
2026-03-30T17:00:00.000Z	46 \| good	3.93 \| good	9.4 \| good	50.412 \| good	0.235 \| good	2.099 \| good	0.126 \| good
2026-03-30T18:00:00.000Z	45 \| good	4.388 \| good	9.727 \| good	48.92 \| good	0.278 \| good	2.845 \| good	0.13 \| good
2026-03-30T19:00:00.000Z	44 \| good	4.701 \| good	9.957 \| good	47.285 \| good	0.341 \| good	3.417 \| good	0.128 \| good
2026-03-30T20:00:00.000Z	43 \| good	4.818 \| good	10.525 \| good	45.535 \| good	0.394 \| good	3.483 \| good	0.126 \| good
2026-03-30T21:00:00.000Z	41 \| good	4.895 \| good	11.043 \| good	44.431 \| good	0.389 \| good	3.427 \| good	0.126 \| good
2026-03-30T22:00:00.000Z	40 \| good	4.981 \| good	11.38 \| good	42.875 \| good	0.411 \| good	3.372 \| good	0.126 \| good
2026-03-30T23:00:00.000Z	39 \| good	4.91 \| good	11.41 \| good	42.015 \| good	0.436 \| good	3.255 \| good	0.126 \| good
2026-03-31T00:00:00.000Z	37 \| good	4.881 \| good	11.834 \| good	40.39 \| good	0.392 \| good	3.27 \| good	0.125 \| good
2026-03-31T01:00:00.000Z	36 \| good	5.163 \| good	12.539 \| good	38.714 \| good	0.345 \| good	2.877 \| good	0.124 \| good
2026-03-31T02:00:00.000Z	36 \| good	5.201 \| good	13.329 \| good	39.306 \| good	0.303 \| good	2.387 \| good	0.124 \| good
2026-03-31T03:00:00.000Z	36 \| good	5.192 \| good	13.943 \| good	38.872 \| good	0.28 \| good	2.117 \| good	0.124 \| good
2026-03-31T04:00:00.000Z	34 \| good	5.192 \| good	12.588 \| good	36.527 \| good	0.29 \| good	2.232 \| good	0.125 \| good
2026-03-31T05:00:00.000Z	31 \| good	5.48 \| good	9.461 \| good	33.172 \| good	0.356 \| good	2.944 \| good	0.125 \| good
2026-03-31T06:00:00.000Z	33 \| good	5.708 \| good	8.794 \| good	30.055 \| good	0.429 \| good	4.474 \| good	0.128 \| good
2026-03-31T07:00:00.000Z	33 \| good	5.827 \| good	8.841 \| good	28.09 \| good	0.446 \| good	6.401 \| good	0.139 \| good
2026-03-31T08:00:00.000Z	27 \| good	5.457 \| good	7.785 \| good	27.451 \| good	0.39 \| good	6.453 \| good	0.137 \| good
2026-03-31T09:00:00.000Z	27 \| good	5.004 \| good	6.839 \| good	26.785 \| good	0.363 \| good	5.096 \| good	0.13 \| good
2026-03-31T10:00:00.000Z	27 \| good	5.01 \| good	6.652 \| good	27.033 \| good	0.324 \| good	5.573 \| good	0.129 \| good
2026-03-31T11:00:00.000Z	28 \| good	4.193 \| good	6.623 \| good	30.497 \| good	0.262 \| good	4.288 \| good	0.126 \| good
2026-03-31T12:00:00.000Z	29 \| good	3.882 \| good	6.022 \| good	30.798 \| good	0.224 \| good	3.329 \| good	0.12 \| good
2026-03-31T13:00:00.000Z	30 \| good	3.113 \| good	5.749 \| good	32.072 \| good	0.203 \| good	3.034 \| good	0.117 \| good
2026-03-31T14:00:00.000Z	31 \| good	3.437 \| good	5.735 \| good	33.729 \| good	0.197 \| good	2.457 \| good	0.115 \| good
2026-03-31T15:00:00.000Z	31 \| good	3.828 \| good	5.966 \| good	34.267 \| good	0.202 \| good	2.458 \| good	0.116 \| good
2026-03-31T16:00:00.000Z	31 \| good	3.824 \| good	6.066 \| good	33.526 \| good	0.242 \| good	3.136 \| good	0.12 \| good
2026-03-31T17:00:00.000Z	31 \| good	4.227 \| good	6.605 \| good	32.79 \| good	0.285 \| good	3.937 \| good	0.125 \| good
2026-03-31T18:00:00.000Z	29 \| good	4.979 \| good	7.77 \| good	30.887 \| good	0.368 \| good	5.456 \| good	0.13 \| good
2026-03-31T19:00:00.000Z	33 \| good	6.38 \| good	9.469 \| good	27.476 \| good	0.507 \| good	8.827 \| good	0.138 \| good
2026-03-31T20:00:00.000Z	38 \| good	7.286 \| good	10.022 \| good	24.135 \| good	0.621 \| good	8.369 \| good	0.135 \| good
2026-03-31T21:00:00.000Z	44 \| good	8.288 \| good	11.028 \| good	24.78 \| good	0.586 \| good	8.124 \| good	0.135 \| good
2026-03-31T22:00:00.000Z	49 \| good	8.813 \| good	11.801 \| good	25.219 \| good	0.533 \| good	8.281 \| good	0.134 \| good

Live air quality index in Mexborough, South Yorkshire today

Major air pollutants in Mexborough, South Yorkshire

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Mexborough, South Yorkshire air quality forecast and history

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

Air quality in nearby cities

Swinton, South Yorkshire

Conisbrough, South Yorkshire

WathuponDearne, South Yorkshire

Rawmarsh, South Yorkshire

Warmsworth, South Yorkshire

Wickersley, South Yorkshire

How accurate is South Yorkshire, UK air quality data?

Air quality levels in UK

Frequently asked questions

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

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

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

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

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

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

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

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

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

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