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

The current PM10 levels in Bentley, South Yorkshire are 14.996 μg/m3.

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

The current sulfur dioxide (SO2) levels in Bentley, South Yorkshire are 0.691 ppb.

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

The current ozone (O3) levels at Bentley, South Yorkshire is 28.832 ppm.

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

The current nitrogen dioxide (NO2) levels at Bentley, South Yorkshire is 5.781 ppb.

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

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

The measured PM2.5 levels in Bentley, South Yorkshire at present are 7.026 μg/m3.

Stay updated with real-time air quality in Bentley, 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

Bentley, South Yorkshire

Last updated: ... (Local time)

Common air pollutants in Bentley, South Yorkshire

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

7.03 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

15.00 μg/m³

155

255

425

605+

Ozone (O₃)

28.83 ppb

201

201+

Sulfur Dioxide (SO₂)

0.69 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

5.78 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.15 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Bentley, South Yorkshire

Get Live Pollen Counts

Bentley, South Yorkshire

Scroll To Air Quality Map

Track live Bentley, South Yorkshire air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-12-26T22:00:00.000Z	33 \| good	6.258 \| good	18.752 \| good	27.487 \| good	0.492 \| good	9.26 \| good	0.029 \| good
2025-12-26T23:00:00.000Z	38 \| good	6.641 \| good	16.077 \| good	26.608 \| good	0.382 \| good	7.907 \| good	0.029 \| good
2025-12-27T00:00:00.000Z	38 \| good	7.043 \| good	12.162 \| good	22.248 \| good	0.476 \| good	6.118 \| good	0.305 \| good
2025-12-27T01:00:00.000Z	38 \| good	7.164 \| good	11.4 \| good	22.3 \| good	0.382 \| good	7.763 \| good	0.581 \| good
2025-12-27T02:00:00.000Z	38 \| good	6.907 \| good	17.166 \| good	23.473 \| good	0.429 \| good	3.265 \| good	0.228 \| good
2025-12-27T03:00:00.000Z	38 \| good	7.094 \| good	16.126 \| good	22.848 \| good	0.448 \| good	5.056 \| good	0.241 \| good
2025-12-27T04:00:00.000Z	38 \| good	6.806 \| good	13.583 \| good	23.556 \| good	0.382 \| good	5.305 \| good	0.188 \| good
2025-12-27T05:00:00.000Z	38 \| good	6.638 \| good	13.542 \| good	26.138 \| good	0.382 \| good	5.084 \| good	0.169 \| good
2025-12-27T06:00:00.000Z	38 \| good	7.085 \| good	13.541 \| good	26.644 \| good	0.382 \| good	6.213 \| good	0.023 \| good
2025-12-27T07:00:00.000Z	38 \| good	6.712 \| good	12.549 \| good	24.287 \| good	0.382 \| good	6.574 \| good	0.033 \| good
2025-12-27T08:00:00.000Z	33 \| good	6.009 \| good	13.082 \| good	24.93 \| good	0.382 \| good	10.514 \| good	0.041 \| good
2025-12-27T09:00:00.000Z	38 \| good	6.791 \| good	17.355 \| good	24.168 \| good	0.382 \| good	6.211 \| good	0.031 \| good
2025-12-27T10:00:00.000Z	38 \| good	7.298 \| good	18.219 \| good	24.393 \| good	0.382 \| good	7.113 \| good	0.024 \| good
2025-12-27T11:00:00.000Z	38 \| good	6.713 \| good	20.551 \| good	23.126 \| good	0.417 \| good	12.021 \| good	0.029 \| good
2025-12-27T12:00:00.000Z	33 \| good	6 \| good	19.736 \| good	27.763 \| good	0.542 \| good	15.349 \| good	0.03 \| good
2025-12-27T13:00:00.000Z	33 \| good	6.444 \| good	12.192 \| good	32.355 \| good	0.471 \| good	14.287 \| good	0.029 \| good
2025-12-27T14:00:00.000Z	38 \| good	6.767 \| good	16.511 \| good	28.602 \| good	0.513 \| good	11.898 \| good	0.041 \| good
2025-12-27T15:00:00.000Z	33 \| good	6.122 \| good	15.237 \| good	27.101 \| good	0.577 \| good	11.274 \| good	0.044 \| good
2025-12-27T16:00:00.000Z	33 \| good	6.054 \| good	11.938 \| good	30.15 \| good	0.382 \| good	15.367 \| good	0.055 \| good
2025-12-27T17:00:00.000Z	33 \| good	5.84 \| good	15.446 \| good	29.407 \| good	0.382 \| good	12.781 \| good	0.083 \| good
2025-12-27T18:00:00.000Z	33 \| good	5.827 \| good	8.464 \| good	31.299 \| good	0.382 \| good	13.001 \| good	0.107 \| good
2025-12-27T19:00:00.000Z	29 \| good	5.453 \| good	9.338 \| good	30.774 \| good	0.47 \| good	7.269 \| good	0.158 \| good
2025-12-27T20:00:00.000Z	33 \| good	5.597 \| good	8.377 \| good	27.498 \| good	0.382 \| good	12.267 \| good	0.213 \| good
2025-12-27T21:00:00.000Z	33 \| good	5.66 \| good	10.021 \| good	28.766 \| good	0.382 \| good	11.868 \| good	0.16 \| good
2025-12-27T22:00:00.000Z	30 \| good	3.993 \| good	16.937 \| good	31.679 \| good	0.382 \| good	4.635 \| good	0.187 \| good
2025-12-27T23:00:00.000Z	30 \| good	4.293 \| good	16.005 \| good	32.454 \| good	0.382 \| good	3.097 \| good	0.141 \| good
2025-12-28T00:00:00.000Z	33 \| good	5.564 \| good	17.586 \| good	31.047 \| good	0.382 \| good	4.842 \| good	1.101 \| good
2025-12-28T01:00:00.000Z	33 \| good	6 \| good	10.18 \| good	30.374 \| good	0.563 \| good	3.997 \| good	1.079 \| good
2025-12-28T02:00:00.000Z	30 \| good	4.937 \| good	9.634 \| good	32.294 \| good	0.479 \| good	1.972 \| good	1.237 \| good
2025-12-28T03:00:00.000Z	32 \| good	5.451 \| good	15.054 \| good	34.612 \| good	0.382 \| good	3.265 \| good	0.638 \| good
2025-12-28T04:00:00.000Z	31 \| good	5.294 \| good	16.993 \| good	33.822 \| good	0.382 \| good	2.9 \| good	0.678 \| good
2025-12-28T05:00:00.000Z	31 \| good	5.367 \| good	17.294 \| good	33.069 \| good	0.382 \| good	2.843 \| good	0.432 \| good
2025-12-28T06:00:00.000Z	33 \| good	5.67 \| good	16.166 \| good	33.435 \| good	0.382 \| good	2.496 \| good	0.044 \| good
2025-12-28T07:00:00.000Z	33 \| good	5.978 \| good	19.328 \| good	30.309 \| good	0.382 \| good	2.31 \| good	0.056 \| good
2025-12-28T08:00:00.000Z	29 \| good	4.564 \| good	15.742 \| good	30.958 \| good	0.575 \| good	2.241 \| good	0.125 \| good
2025-12-28T09:00:00.000Z	30 \| good	4.937 \| good	16.145 \| good	31.504 \| good	0.67 \| good	2.548 \| good	0.128 \| good
2025-12-28T10:00:00.000Z	30 \| good	4.878 \| good	15.773 \| good	31.849 \| good	0.67 \| good	2.793 \| good	0.129 \| good
2025-12-28T11:00:00.000Z	30 \| good	4.826 \| good	15.331 \| good	31.986 \| good	0.605 \| good	2.595 \| good	0.128 \| good
2025-12-28T12:00:00.000Z	31 \| good	3.59 \| good	12.189 \| good	33.2 \| good	0.447 \| good	2.478 \| good	0.125 \| good
2025-12-28T13:00:00.000Z	32 \| good	3.607 \| good	11.15 \| good	35.073 \| good	0.369 \| good	2.055 \| good	0.123 \| good
2025-12-28T14:00:00.000Z	32 \| good	3.902 \| good	11.786 \| good	35.445 \| good	0.366 \| good	2.163 \| good	0.124 \| good
2025-12-28T15:00:00.000Z	32 \| good	3.993 \| good	12.252 \| good	34.624 \| good	0.39 \| good	2.5 \| good	0.128 \| good
2025-12-28T16:00:00.000Z	31 \| good	4.257 \| good	11.888 \| good	34.084 \| good	0.406 \| good	2.731 \| good	0.133 \| good
2025-12-28T17:00:00.000Z	30 \| good	4.555 \| good	11.992 \| good	32.402 \| good	0.444 \| good	3.081 \| good	0.137 \| good
2025-12-28T18:00:00.000Z	28 \| good	5.284 \| good	12.372 \| good	30.368 \| good	0.501 \| good	3.305 \| good	0.143 \| good
2025-12-28T19:00:00.000Z	33 \| good	6.273 \| good	13.311 \| good	28.949 \| good	0.564 \| good	3.482 \| good	0.147 \| good
2025-12-28T20:00:00.000Z	38 \| good	6.608 \| good	14.186 \| good	29.014 \| good	0.619 \| good	3.676 \| good	0.144 \| good
2025-12-28T21:00:00.000Z	38 \| good	7.026 \| good	14.996 \| good	28.832 \| good	0.691 \| good	5.781 \| good	0.148 \| good
2025-12-28T22:00:00.000Z	38 \| good	7.042 \| good	14.969 \| good	27.696 \| good	0.658 \| good	4.066 \| good	0.144 \| good
2025-12-28T23:00:00.000Z	38 \| good	6.884 \| good	14.677 \| good	26.776 \| good	0.661 \| good	3.986 \| good	0.144 \| good
2025-12-29T00:00:00.000Z	38 \| good	6.512 \| good	14.202 \| good	26.259 \| good	0.638 \| good	3.752 \| good	0.141 \| good
2025-12-29T01:00:00.000Z	33 \| good	6.457 \| good	13.888 \| good	24.932 \| good	0.651 \| good	3.696 \| good	0.137 \| good
2025-12-29T02:00:00.000Z	33 \| good	6.34 \| good	13.329 \| good	23 \| good	0.631 \| good	3.768 \| good	0.133 \| good
2025-12-29T03:00:00.000Z	33 \| good	6.103 \| good	12.879 \| good	22.371 \| good	0.595 \| good	3.505 \| good	0.132 \| good
2025-12-29T04:00:00.000Z	33 \| good	5.823 \| good	12.829 \| good	22.249 \| good	0.566 \| good	3.6 \| good	0.13 \| good
2025-12-29T05:00:00.000Z	27 \| good	5.129 \| good	11.817 \| good	23.417 \| good	0.546 \| good	3.188 \| good	0.128 \| good
2025-12-29T06:00:00.000Z	27 \| good	4.524 \| good	10.388 \| good	24.513 \| good	0.542 \| good	3 \| good	0.127 \| good
2025-12-29T07:00:00.000Z	22 \| good	4.192 \| good	9.439 \| good	24.262 \| good	0.629 \| good	3.748 \| good	0.129 \| good
2025-12-29T08:00:00.000Z	22 \| good	4.079 \| good	8.176 \| good	23.911 \| good	0.761 \| good	5.073 \| good	0.134 \| good
2025-12-29T09:00:00.000Z	22 \| good	4.22 \| good	8.117 \| good	23.688 \| good	0.868 \| good	6.173 \| good	0.135 \| good
2025-12-29T10:00:00.000Z	23 \| good	4.384 \| good	9.206 \| good	24.546 \| good	0.852 \| good	6.199 \| good	0.134 \| good
2025-12-29T11:00:00.000Z	24 \| good	4.466 \| good	9.37 \| good	26.008 \| good	0.723 \| good	5.052 \| good	0.13 \| good
2025-12-29T12:00:00.000Z	25 \| good	4.001 \| good	8.974 \| good	27.475 \| good	0.693 \| good	4.659 \| good	0.127 \| good
2025-12-29T13:00:00.000Z	26 \| good	3.88 \| good	8.825 \| good	28.225 \| good	0.651 \| good	4.713 \| good	0.127 \| good
2025-12-29T14:00:00.000Z	25 \| good	4.371 \| good	9.116 \| good	26.573 \| good	0.633 \| good	5.351 \| good	0.132 \| good
2025-12-29T15:00:00.000Z	27 \| good	4.564 \| good	9.38 \| good	27.184 \| good	0.576 \| good	5.866 \| good	0.135 \| good
2025-12-29T16:00:00.000Z	27 \| good	4.91 \| good	9.567 \| good	26.289 \| good	0.578 \| good	6.354 \| good	0.138 \| good
2025-12-29T17:00:00.000Z	33 \| good	5.561 \| good	10.109 \| good	24.482 \| good	0.613 \| good	6.974 \| good	0.143 \| good
2025-12-29T18:00:00.000Z	33 \| good	6.303 \| good	9.251 \| good	23.157 \| good	0.623 \| good	7.17 \| good	0.142 \| good
2025-12-29T19:00:00.000Z	38 \| good	6.736 \| good	9.785 \| good	23.621 \| good	0.615 \| good	6.613 \| good	0.144 \| good
2025-12-29T20:00:00.000Z	38 \| good	6.948 \| good	11.107 \| good	26.54 \| good	0.559 \| good	4.558 \| good	0.143 \| good
2025-12-29T21:00:00.000Z	33 \| good	5.696 \| good	11.35 \| good	27.382 \| good	0.56 \| good	3.414 \| good	0.138 \| good
2025-12-29T22:00:00.000Z	27 \| good	4.666 \| good	10.27 \| good	29.419 \| good	0.494 \| good	2.604 \| good	0.134 \| good
2025-12-29T23:00:00.000Z	29 \| good	3.919 \| good	9.207 \| good	30.76 \| good	0.439 \| good	2.265 \| good	0.129 \| good
2025-12-30T00:00:00.000Z	30 \| good	3.383 \| good	9.536 \| good	31.529 \| good	0.378 \| good	1.739 \| good	0.127 \| good
2025-12-30T01:00:00.000Z	30 \| good	3.382 \| good	10.375 \| good	31.987 \| good	0.342 \| good	1.532 \| good	0.126 \| good
2025-12-30T02:00:00.000Z	30 \| good	3.443 \| good	10.636 \| good	32.104 \| good	0.344 \| good	1.4 \| good	0.125 \| good
2025-12-30T03:00:00.000Z	28 \| good	3.423 \| good	10.435 \| good	30.419 \| good	0.348 \| good	1.387 \| good	0.123 \| good
2025-12-30T04:00:00.000Z	27 \| good	3.138 \| good	10.184 \| good	29.378 \| good	0.363 \| good	1.414 \| good	0.123 \| good
2025-12-30T05:00:00.000Z	28 \| good	3.067 \| good	9.533 \| good	29.733 \| good	0.384 \| good	1.516 \| good	0.123 \| good
2025-12-30T06:00:00.000Z	27 \| good	3.212 \| good	9.381 \| good	29.361 \| good	0.455 \| good	1.826 \| good	0.124 \| good
2025-12-30T07:00:00.000Z	25 \| good	3.497 \| good	9.371 \| good	27.402 \| good	0.569 \| good	2.819 \| good	0.129 \| good
2025-12-30T08:00:00.000Z	23 \| good	3.96 \| good	8.708 \| good	24.625 \| good	0.732 \| good	4.958 \| good	0.136 \| good
2025-12-30T09:00:00.000Z	22 \| good	4.334 \| good	9.591 \| good	22.498 \| good	0.882 \| good	6.838 \| good	0.143 \| good
2025-12-30T10:00:00.000Z	22 \| good	4.248 \| good	10.285 \| good	22.415 \| good	0.957 \| good	7.356 \| good	0.146 \| good
2025-12-30T11:00:00.000Z	23 \| good	4.159 \| good	9.919 \| good	25.398 \| good	0.936 \| good	6.474 \| good	0.143 \| good
2025-12-30T12:00:00.000Z	28 \| good	3.664 \| good	9.404 \| good	29.809 \| good	0.749 \| good	5.55 \| good	0.139 \| good
2025-12-30T13:00:00.000Z	28 \| good	3.294 \| good	9.287 \| good	29.619 \| good	0.623 \| good	4.767 \| good	0.137 \| good
2025-12-30T14:00:00.000Z	27 \| good	3.37 \| good	9.177 \| good	29.362 \| good	0.687 \| good	5.306 \| good	0.14 \| good
2025-12-30T15:00:00.000Z	27 \| good	3.893 \| good	9.213 \| good	29.15 \| good	0.71 \| good	5.987 \| good	0.146 \| good
2025-12-30T16:00:00.000Z	24 \| good	4.337 \| good	9.261 \| good	26.234 \| good	0.708 \| good	7.394 \| good	0.149 \| good
2025-12-30T17:00:00.000Z	27 \| good	4.82 \| good	9.937 \| good	24.332 \| good	0.734 \| good	7.898 \| good	0.153 \| good
2025-12-30T18:00:00.000Z	33 \| good	5.937 \| good	10.316 \| good	25.532 \| good	0.79 \| good	8.514 \| good	0.158 \| good
2025-12-30T19:00:00.000Z	38 \| good	6.705 \| good	10.295 \| good	23.203 \| good	0.782 \| good	8.505 \| good	0.161 \| good
2025-12-30T20:00:00.000Z	38 \| good	6.866 \| good	10.84 \| good	22.864 \| good	0.781 \| good	7.562 \| good	0.161 \| good
2025-12-30T21:00:00.000Z	38 \| good	7.055 \| good	11.523 \| good	22.446 \| good	0.805 \| good	7.205 \| good	0.157 \| good

Bentley

Empower business decisions with accurate air quality data

Bentley, 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 Bentley, South Yorkshire updated?

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

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

The worst air quality in Bentley, South Yorkshire was recorded at 08:00:00 on 2025-12-28.

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

The best air quality in Bentley, South Yorkshire was recorded at 06:00:00 on 2025-12-28.

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

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

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

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

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

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

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

The measured PM_2.5 levels in Bentley, South Yorkshire at present are 7.026 μg/m³.

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

The current PM₁₀ levels in Bentley, South Yorkshire are 14.996 μg/m³.

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

The current carbon monoxide (CO) level in Bentley, South Yorkshire is 0.148 ppm.

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

The current sulfur dioxide (SO₂) levels in Bentley, South Yorkshire are 0.691 ppb.

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

The current ozone (O₃) levels at Bentley, South Yorkshire is 28.832 ppm.

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

The current nitrogen dioxide (NO₂) levels at Bentley, South Yorkshire is 5.781 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-12-26T22:00:00.000Z	33 \| good	6.258 \| good	18.752 \| good	27.487 \| good	0.492 \| good	9.26 \| good	0.029 \| good
2025-12-26T23:00:00.000Z	38 \| good	6.641 \| good	16.077 \| good	26.608 \| good	0.382 \| good	7.907 \| good	0.029 \| good
2025-12-27T00:00:00.000Z	38 \| good	7.043 \| good	12.162 \| good	22.248 \| good	0.476 \| good	6.118 \| good	0.305 \| good
2025-12-27T01:00:00.000Z	38 \| good	7.164 \| good	11.4 \| good	22.3 \| good	0.382 \| good	7.763 \| good	0.581 \| good
2025-12-27T02:00:00.000Z	38 \| good	6.907 \| good	17.166 \| good	23.473 \| good	0.429 \| good	3.265 \| good	0.228 \| good
2025-12-27T03:00:00.000Z	38 \| good	7.094 \| good	16.126 \| good	22.848 \| good	0.448 \| good	5.056 \| good	0.241 \| good
2025-12-27T04:00:00.000Z	38 \| good	6.806 \| good	13.583 \| good	23.556 \| good	0.382 \| good	5.305 \| good	0.188 \| good
2025-12-27T05:00:00.000Z	38 \| good	6.638 \| good	13.542 \| good	26.138 \| good	0.382 \| good	5.084 \| good	0.169 \| good
2025-12-27T06:00:00.000Z	38 \| good	7.085 \| good	13.541 \| good	26.644 \| good	0.382 \| good	6.213 \| good	0.023 \| good
2025-12-27T07:00:00.000Z	38 \| good	6.712 \| good	12.549 \| good	24.287 \| good	0.382 \| good	6.574 \| good	0.033 \| good
2025-12-27T08:00:00.000Z	33 \| good	6.009 \| good	13.082 \| good	24.93 \| good	0.382 \| good	10.514 \| good	0.041 \| good
2025-12-27T09:00:00.000Z	38 \| good	6.791 \| good	17.355 \| good	24.168 \| good	0.382 \| good	6.211 \| good	0.031 \| good
2025-12-27T10:00:00.000Z	38 \| good	7.298 \| good	18.219 \| good	24.393 \| good	0.382 \| good	7.113 \| good	0.024 \| good
2025-12-27T11:00:00.000Z	38 \| good	6.713 \| good	20.551 \| good	23.126 \| good	0.417 \| good	12.021 \| good	0.029 \| good
2025-12-27T12:00:00.000Z	33 \| good	6 \| good	19.736 \| good	27.763 \| good	0.542 \| good	15.349 \| good	0.03 \| good
2025-12-27T13:00:00.000Z	33 \| good	6.444 \| good	12.192 \| good	32.355 \| good	0.471 \| good	14.287 \| good	0.029 \| good
2025-12-27T14:00:00.000Z	38 \| good	6.767 \| good	16.511 \| good	28.602 \| good	0.513 \| good	11.898 \| good	0.041 \| good
2025-12-27T15:00:00.000Z	33 \| good	6.122 \| good	15.237 \| good	27.101 \| good	0.577 \| good	11.274 \| good	0.044 \| good
2025-12-27T16:00:00.000Z	33 \| good	6.054 \| good	11.938 \| good	30.15 \| good	0.382 \| good	15.367 \| good	0.055 \| good
2025-12-27T17:00:00.000Z	33 \| good	5.84 \| good	15.446 \| good	29.407 \| good	0.382 \| good	12.781 \| good	0.083 \| good
2025-12-27T18:00:00.000Z	33 \| good	5.827 \| good	8.464 \| good	31.299 \| good	0.382 \| good	13.001 \| good	0.107 \| good
2025-12-27T19:00:00.000Z	29 \| good	5.453 \| good	9.338 \| good	30.774 \| good	0.47 \| good	7.269 \| good	0.158 \| good
2025-12-27T20:00:00.000Z	33 \| good	5.597 \| good	8.377 \| good	27.498 \| good	0.382 \| good	12.267 \| good	0.213 \| good
2025-12-27T21:00:00.000Z	33 \| good	5.66 \| good	10.021 \| good	28.766 \| good	0.382 \| good	11.868 \| good	0.16 \| good
2025-12-27T22:00:00.000Z	30 \| good	3.993 \| good	16.937 \| good	31.679 \| good	0.382 \| good	4.635 \| good	0.187 \| good
2025-12-27T23:00:00.000Z	30 \| good	4.293 \| good	16.005 \| good	32.454 \| good	0.382 \| good	3.097 \| good	0.141 \| good
2025-12-28T00:00:00.000Z	33 \| good	5.564 \| good	17.586 \| good	31.047 \| good	0.382 \| good	4.842 \| good	1.101 \| good
2025-12-28T01:00:00.000Z	33 \| good	6 \| good	10.18 \| good	30.374 \| good	0.563 \| good	3.997 \| good	1.079 \| good
2025-12-28T02:00:00.000Z	30 \| good	4.937 \| good	9.634 \| good	32.294 \| good	0.479 \| good	1.972 \| good	1.237 \| good
2025-12-28T03:00:00.000Z	32 \| good	5.451 \| good	15.054 \| good	34.612 \| good	0.382 \| good	3.265 \| good	0.638 \| good
2025-12-28T04:00:00.000Z	31 \| good	5.294 \| good	16.993 \| good	33.822 \| good	0.382 \| good	2.9 \| good	0.678 \| good
2025-12-28T05:00:00.000Z	31 \| good	5.367 \| good	17.294 \| good	33.069 \| good	0.382 \| good	2.843 \| good	0.432 \| good
2025-12-28T06:00:00.000Z	33 \| good	5.67 \| good	16.166 \| good	33.435 \| good	0.382 \| good	2.496 \| good	0.044 \| good
2025-12-28T07:00:00.000Z	33 \| good	5.978 \| good	19.328 \| good	30.309 \| good	0.382 \| good	2.31 \| good	0.056 \| good
2025-12-28T08:00:00.000Z	29 \| good	4.564 \| good	15.742 \| good	30.958 \| good	0.575 \| good	2.241 \| good	0.125 \| good
2025-12-28T09:00:00.000Z	30 \| good	4.937 \| good	16.145 \| good	31.504 \| good	0.67 \| good	2.548 \| good	0.128 \| good
2025-12-28T10:00:00.000Z	30 \| good	4.878 \| good	15.773 \| good	31.849 \| good	0.67 \| good	2.793 \| good	0.129 \| good
2025-12-28T11:00:00.000Z	30 \| good	4.826 \| good	15.331 \| good	31.986 \| good	0.605 \| good	2.595 \| good	0.128 \| good
2025-12-28T12:00:00.000Z	31 \| good	3.59 \| good	12.189 \| good	33.2 \| good	0.447 \| good	2.478 \| good	0.125 \| good
2025-12-28T13:00:00.000Z	32 \| good	3.607 \| good	11.15 \| good	35.073 \| good	0.369 \| good	2.055 \| good	0.123 \| good
2025-12-28T14:00:00.000Z	32 \| good	3.902 \| good	11.786 \| good	35.445 \| good	0.366 \| good	2.163 \| good	0.124 \| good
2025-12-28T15:00:00.000Z	32 \| good	3.993 \| good	12.252 \| good	34.624 \| good	0.39 \| good	2.5 \| good	0.128 \| good
2025-12-28T16:00:00.000Z	31 \| good	4.257 \| good	11.888 \| good	34.084 \| good	0.406 \| good	2.731 \| good	0.133 \| good
2025-12-28T17:00:00.000Z	30 \| good	4.555 \| good	11.992 \| good	32.402 \| good	0.444 \| good	3.081 \| good	0.137 \| good
2025-12-28T18:00:00.000Z	28 \| good	5.284 \| good	12.372 \| good	30.368 \| good	0.501 \| good	3.305 \| good	0.143 \| good
2025-12-28T19:00:00.000Z	33 \| good	6.273 \| good	13.311 \| good	28.949 \| good	0.564 \| good	3.482 \| good	0.147 \| good
2025-12-28T20:00:00.000Z	38 \| good	6.608 \| good	14.186 \| good	29.014 \| good	0.619 \| good	3.676 \| good	0.144 \| good
2025-12-28T21:00:00.000Z	38 \| good	7.026 \| good	14.996 \| good	28.832 \| good	0.691 \| good	5.781 \| good	0.148 \| good
2025-12-28T22:00:00.000Z	38 \| good	7.042 \| good	14.969 \| good	27.696 \| good	0.658 \| good	4.066 \| good	0.144 \| good
2025-12-28T23:00:00.000Z	38 \| good	6.884 \| good	14.677 \| good	26.776 \| good	0.661 \| good	3.986 \| good	0.144 \| good
2025-12-29T00:00:00.000Z	38 \| good	6.512 \| good	14.202 \| good	26.259 \| good	0.638 \| good	3.752 \| good	0.141 \| good
2025-12-29T01:00:00.000Z	33 \| good	6.457 \| good	13.888 \| good	24.932 \| good	0.651 \| good	3.696 \| good	0.137 \| good
2025-12-29T02:00:00.000Z	33 \| good	6.34 \| good	13.329 \| good	23 \| good	0.631 \| good	3.768 \| good	0.133 \| good
2025-12-29T03:00:00.000Z	33 \| good	6.103 \| good	12.879 \| good	22.371 \| good	0.595 \| good	3.505 \| good	0.132 \| good
2025-12-29T04:00:00.000Z	33 \| good	5.823 \| good	12.829 \| good	22.249 \| good	0.566 \| good	3.6 \| good	0.13 \| good
2025-12-29T05:00:00.000Z	27 \| good	5.129 \| good	11.817 \| good	23.417 \| good	0.546 \| good	3.188 \| good	0.128 \| good
2025-12-29T06:00:00.000Z	27 \| good	4.524 \| good	10.388 \| good	24.513 \| good	0.542 \| good	3 \| good	0.127 \| good
2025-12-29T07:00:00.000Z	22 \| good	4.192 \| good	9.439 \| good	24.262 \| good	0.629 \| good	3.748 \| good	0.129 \| good
2025-12-29T08:00:00.000Z	22 \| good	4.079 \| good	8.176 \| good	23.911 \| good	0.761 \| good	5.073 \| good	0.134 \| good
2025-12-29T09:00:00.000Z	22 \| good	4.22 \| good	8.117 \| good	23.688 \| good	0.868 \| good	6.173 \| good	0.135 \| good
2025-12-29T10:00:00.000Z	23 \| good	4.384 \| good	9.206 \| good	24.546 \| good	0.852 \| good	6.199 \| good	0.134 \| good
2025-12-29T11:00:00.000Z	24 \| good	4.466 \| good	9.37 \| good	26.008 \| good	0.723 \| good	5.052 \| good	0.13 \| good
2025-12-29T12:00:00.000Z	25 \| good	4.001 \| good	8.974 \| good	27.475 \| good	0.693 \| good	4.659 \| good	0.127 \| good
2025-12-29T13:00:00.000Z	26 \| good	3.88 \| good	8.825 \| good	28.225 \| good	0.651 \| good	4.713 \| good	0.127 \| good
2025-12-29T14:00:00.000Z	25 \| good	4.371 \| good	9.116 \| good	26.573 \| good	0.633 \| good	5.351 \| good	0.132 \| good
2025-12-29T15:00:00.000Z	27 \| good	4.564 \| good	9.38 \| good	27.184 \| good	0.576 \| good	5.866 \| good	0.135 \| good
2025-12-29T16:00:00.000Z	27 \| good	4.91 \| good	9.567 \| good	26.289 \| good	0.578 \| good	6.354 \| good	0.138 \| good
2025-12-29T17:00:00.000Z	33 \| good	5.561 \| good	10.109 \| good	24.482 \| good	0.613 \| good	6.974 \| good	0.143 \| good
2025-12-29T18:00:00.000Z	33 \| good	6.303 \| good	9.251 \| good	23.157 \| good	0.623 \| good	7.17 \| good	0.142 \| good
2025-12-29T19:00:00.000Z	38 \| good	6.736 \| good	9.785 \| good	23.621 \| good	0.615 \| good	6.613 \| good	0.144 \| good
2025-12-29T20:00:00.000Z	38 \| good	6.948 \| good	11.107 \| good	26.54 \| good	0.559 \| good	4.558 \| good	0.143 \| good
2025-12-29T21:00:00.000Z	33 \| good	5.696 \| good	11.35 \| good	27.382 \| good	0.56 \| good	3.414 \| good	0.138 \| good
2025-12-29T22:00:00.000Z	27 \| good	4.666 \| good	10.27 \| good	29.419 \| good	0.494 \| good	2.604 \| good	0.134 \| good
2025-12-29T23:00:00.000Z	29 \| good	3.919 \| good	9.207 \| good	30.76 \| good	0.439 \| good	2.265 \| good	0.129 \| good
2025-12-30T00:00:00.000Z	30 \| good	3.383 \| good	9.536 \| good	31.529 \| good	0.378 \| good	1.739 \| good	0.127 \| good
2025-12-30T01:00:00.000Z	30 \| good	3.382 \| good	10.375 \| good	31.987 \| good	0.342 \| good	1.532 \| good	0.126 \| good
2025-12-30T02:00:00.000Z	30 \| good	3.443 \| good	10.636 \| good	32.104 \| good	0.344 \| good	1.4 \| good	0.125 \| good
2025-12-30T03:00:00.000Z	28 \| good	3.423 \| good	10.435 \| good	30.419 \| good	0.348 \| good	1.387 \| good	0.123 \| good
2025-12-30T04:00:00.000Z	27 \| good	3.138 \| good	10.184 \| good	29.378 \| good	0.363 \| good	1.414 \| good	0.123 \| good
2025-12-30T05:00:00.000Z	28 \| good	3.067 \| good	9.533 \| good	29.733 \| good	0.384 \| good	1.516 \| good	0.123 \| good
2025-12-30T06:00:00.000Z	27 \| good	3.212 \| good	9.381 \| good	29.361 \| good	0.455 \| good	1.826 \| good	0.124 \| good
2025-12-30T07:00:00.000Z	25 \| good	3.497 \| good	9.371 \| good	27.402 \| good	0.569 \| good	2.819 \| good	0.129 \| good
2025-12-30T08:00:00.000Z	23 \| good	3.96 \| good	8.708 \| good	24.625 \| good	0.732 \| good	4.958 \| good	0.136 \| good
2025-12-30T09:00:00.000Z	22 \| good	4.334 \| good	9.591 \| good	22.498 \| good	0.882 \| good	6.838 \| good	0.143 \| good
2025-12-30T10:00:00.000Z	22 \| good	4.248 \| good	10.285 \| good	22.415 \| good	0.957 \| good	7.356 \| good	0.146 \| good
2025-12-30T11:00:00.000Z	23 \| good	4.159 \| good	9.919 \| good	25.398 \| good	0.936 \| good	6.474 \| good	0.143 \| good
2025-12-30T12:00:00.000Z	28 \| good	3.664 \| good	9.404 \| good	29.809 \| good	0.749 \| good	5.55 \| good	0.139 \| good
2025-12-30T13:00:00.000Z	28 \| good	3.294 \| good	9.287 \| good	29.619 \| good	0.623 \| good	4.767 \| good	0.137 \| good
2025-12-30T14:00:00.000Z	27 \| good	3.37 \| good	9.177 \| good	29.362 \| good	0.687 \| good	5.306 \| good	0.14 \| good
2025-12-30T15:00:00.000Z	27 \| good	3.893 \| good	9.213 \| good	29.15 \| good	0.71 \| good	5.987 \| good	0.146 \| good
2025-12-30T16:00:00.000Z	24 \| good	4.337 \| good	9.261 \| good	26.234 \| good	0.708 \| good	7.394 \| good	0.149 \| good
2025-12-30T17:00:00.000Z	27 \| good	4.82 \| good	9.937 \| good	24.332 \| good	0.734 \| good	7.898 \| good	0.153 \| good
2025-12-30T18:00:00.000Z	33 \| good	5.937 \| good	10.316 \| good	25.532 \| good	0.79 \| good	8.514 \| good	0.158 \| good
2025-12-30T19:00:00.000Z	38 \| good	6.705 \| good	10.295 \| good	23.203 \| good	0.782 \| good	8.505 \| good	0.161 \| good
2025-12-30T20:00:00.000Z	38 \| good	6.866 \| good	10.84 \| good	22.864 \| good	0.781 \| good	7.562 \| good	0.161 \| good
2025-12-30T21:00:00.000Z	38 \| good	7.055 \| good	11.523 \| good	22.446 \| good	0.805 \| good	7.205 \| good	0.157 \| good

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

Common air pollutants in Bentley, South Yorkshire

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Bentley, South Yorkshire air quality forecast and history

Empower business decisions with accurate air quality data

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

Air quality in nearby cities

Scawthorpe, South Yorkshire

Doncaster, South Yorkshire

Adwick Le Street, South Yorkshire

Kirk Sandall, South Yorkshire

Warmsworth, South Yorkshire

Armthorpe, South Yorkshire

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 Bentley, South Yorkshire updated?

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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