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

The current PM10 levels in Darton, South Yorkshire are 7.369 μg/m3.

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

The current sulfur dioxide (SO2) levels in Darton, South Yorkshire are 0.748 ppb.

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

The current ozone (O3) levels at Darton, South Yorkshire is 41.576 ppm.

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

The current nitrogen dioxide (NO2) levels at Darton, South Yorkshire is 1.374 ppb.

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

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

The measured PM2.5 levels in Darton, South Yorkshire at present are 4.039 μg/m3.

Stay updated with real-time air quality in Darton, 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

Darton, South Yorkshire

Last updated: ... (Local time)

Common air pollutants in Darton, South Yorkshire

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

4.04 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

7.37 μg/m³

155

255

425

605+

Ozone (O₃)

41.58 ppb

201

201+

Sulfur Dioxide (SO₂)

0.75 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

1.37 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.08 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

High

Darton, South Yorkshire

Get Live Pollen Counts

Darton, South Yorkshire

Scroll To Air Quality Map

Track live Darton, South Yorkshire air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-03-27T23:00:00.000Z	30 \| good	5.381 \| good	11.747 \| good	32.382 \| good	0.806 \| good	6.85 \| good	0.082 \| good
2026-03-28T00:00:00.000Z	31 \| good	4.866 \| good	15.877 \| good	33.638 \| good	0.592 \| good	7.943 \| good	0.273 \| good
2026-03-28T01:00:00.000Z	32 \| good	5.072 \| good	14.501 \| good	34.855 \| good	0.625 \| good	5.277 \| good	0.23 \| good
2026-03-28T02:00:00.000Z	34 \| good	5.034 \| good	14.54 \| good	37.027 \| good	0.648 \| good	4.448 \| good	0.217 \| good
2026-03-28T03:00:00.000Z	33 \| good	5.127 \| good	12.617 \| good	35.722 \| good	0.415 \| good	3.627 \| good	0.209 \| good
2026-03-28T04:00:00.000Z	33 \| good	5.738 \| good	13.518 \| good	36.29 \| good	0.45 \| good	2.117 \| good	0.204 \| good
2026-03-28T05:00:00.000Z	33 \| good	5.793 \| good	12.37 \| good	33.004 \| good	0.541 \| good	2.948 \| good	0.2 \| good
2026-03-28T06:00:00.000Z	33 \| good	6.241 \| good	17.871 \| good	36.043 \| good	0.452 \| good	1.623 \| good	0.198 \| good
2026-03-28T07:00:00.000Z	34 \| good	5.953 \| good	14.611 \| good	36.538 \| good	0.417 \| good	2.007 \| good	0.059 \| good
2026-03-28T08:00:00.000Z	33 \| good	6.425 \| good	17.552 \| good	35.702 \| good	0.508 \| good	2.547 \| good	0.067 \| good
2026-03-28T09:00:00.000Z	38 \| good	6.683 \| good	17.604 \| good	36.55 \| good	0.689 \| good	2.651 \| good	0.073 \| good
2026-03-28T10:00:00.000Z	38 \| good	6.668 \| good	20.214 \| good	36.482 \| good	0.494 \| good	3.859 \| good	0.08 \| good
2026-03-28T11:00:00.000Z	38 \| good	7.064 \| good	23.122 \| good	35.494 \| good	0.543 \| good	4.107 \| good	0.082 \| good
2026-03-28T12:00:00.000Z	38 \| good	7.194 \| good	18.031 \| good	36.66 \| good	0.572 \| good	4.002 \| good	0.078 \| good
2026-03-28T13:00:00.000Z	38 \| good	7.328 \| good	18.183 \| good	36.623 \| good	0.572 \| good	3.748 \| good	0.078 \| good
2026-03-28T14:00:00.000Z	38 \| good	7.387 \| good	21.217 \| good	38.925 \| good	0.571 \| good	5.018 \| good	0.075 \| good
2026-03-28T15:00:00.000Z	38 \| good	7.347 \| good	20.982 \| good	38.237 \| good	0.568 \| good	4.052 \| good	0.09 \| good
2026-03-28T16:00:00.000Z	38 \| good	7.224 \| good	19.509 \| good	37.44 \| good	0.57 \| good	4.237 \| good	0.078 \| good
2026-03-28T17:00:00.000Z	38 \| good	6.86 \| good	17.438 \| good	38.363 \| good	0.567 \| good	3.956 \| good	0.08 \| good
2026-03-28T18:00:00.000Z	38 \| good	6.607 \| good	20.504 \| good	39.243 \| good	0.601 \| good	4.197 \| good	0.078 \| good
2026-03-28T19:00:00.000Z	36 \| good	6.302 \| good	19.653 \| good	38.971 \| good	0.57 \| good	5.298 \| good	0.09 \| good
2026-03-28T20:00:00.000Z	36 \| good	6.317 \| good	16.012 \| good	38.791 \| good	0.783 \| good	5.149 \| good	0.092 \| good
2026-03-28T21:00:00.000Z	36 \| good	6.149 \| good	16.742 \| good	38.634 \| good	0.565 \| good	5.068 \| good	0.083 \| good
2026-03-28T22:00:00.000Z	35 \| good	6.136 \| good	18.677 \| good	38.454 \| good	0.599 \| good	6.396 \| good	0.086 \| good
2026-03-28T23:00:00.000Z	34 \| good	5.911 \| good	19.269 \| good	36.587 \| good	0.689 \| good	5.706 \| good	0.083 \| good
2026-03-29T00:00:00.000Z	33 \| good	5.91 \| good	17.201 \| good	35.52 \| good	0.651 \| good	6.572 \| good	0.266 \| good
2026-03-29T01:00:00.000Z	33 \| good	6.196 \| good	18.922 \| good	34.995 \| good	0.652 \| good	4.998 \| good	0.264 \| good
2026-03-29T02:00:00.000Z	33 \| good	5.68 \| good	16.277 \| good	34.243 \| good	0.562 \| good	5.068 \| good	0.247 \| good
2026-03-29T03:00:00.000Z	33 \| good	5.74 \| good	19.043 \| good	30.854 \| good	0.565 \| good	5.788 \| good	0.299 \| good
2026-03-29T04:00:00.000Z	33 \| good	5.64 \| good	16.548 \| good	32.918 \| good	0.501 \| good	5.23 \| good	0.285 \| good
2026-03-29T05:00:00.000Z	33 \| good	5.572 \| good	10.759 \| good	34.665 \| good	0.414 \| good	5.233 \| good	0.081 \| good
2026-03-29T06:00:00.000Z	33 \| good	5.734 \| good	20.686 \| good	32.544 \| good	0.491 \| good	7.092 \| good	0.078 \| good
2026-03-29T07:00:00.000Z	27 \| good	5.149 \| good	13.432 \| good	29.119 \| good	0.531 \| good	8.319 \| good	0.078 \| good
2026-03-29T08:00:00.000Z	27 \| good	4.913 \| good	18.941 \| good	24.918 \| good	0.611 \| good	6.373 \| good	0.084 \| good
2026-03-29T09:00:00.000Z	33 \| good	6.175 \| good	17.385 \| good	27.484 \| good	0.654 \| good	7.135 \| good	0.096 \| good
2026-03-29T10:00:00.000Z	27 \| good	5.465 \| good	14.428 \| good	26.578 \| good	0.424 \| good	7.249 \| good	0.092 \| good
2026-03-29T11:00:00.000Z	27 \| good	5.23 \| good	15.339 \| good	27.025 \| good	0.458 \| good	5.178 \| good	0.073 \| good
2026-03-29T12:00:00.000Z	29 \| good	5.456 \| good	14.16 \| good	31.017 \| good	0.601 \| good	4.593 \| good	0.071 \| good
2026-03-29T13:00:00.000Z	30 \| good	5.299 \| good	18.025 \| good	31.982 \| good	0.652 \| good	4.995 \| good	0.081 \| good
2026-03-29T14:00:00.000Z	28 \| good	5.154 \| good	15.039 \| good	29.827 \| good	0.569 \| good	4.392 \| good	0.076 \| good
2026-03-29T15:00:00.000Z	32 \| good	5.05 \| good	14.858 \| good	35.304 \| good	0.571 \| good	5.064 \| good	0.079 \| good
2026-03-29T16:00:00.000Z	34 \| good	4.681 \| good	12.816 \| good	36.982 \| good	0.644 \| good	6.508 \| good	0.079 \| good
2026-03-29T17:00:00.000Z	31 \| good	4.53 \| good	14.424 \| good	33.729 \| good	0.611 \| good	4.702 \| good	0.078 \| good
2026-03-29T18:00:00.000Z	33 \| good	4.56 \| good	14.304 \| good	35.883 \| good	0.644 \| good	4.067 \| good	0.076 \| good
2026-03-29T19:00:00.000Z	35 \| good	4.47 \| good	11.574 \| good	38.393 \| good	0.532 \| good	3.318 \| good	0.086 \| good
2026-03-29T20:00:00.000Z	32 \| good	4.417 \| good	12.21 \| good	34.911 \| good	0.727 \| good	3.1 \| good	0.11 \| good
2026-03-29T21:00:00.000Z	35 \| good	4.637 \| good	11.263 \| good	37.561 \| good	0.596 \| good	4.501 \| good	0.075 \| good
2026-03-29T22:00:00.000Z	39 \| good	4.039 \| good	7.369 \| good	41.576 \| good	0.748 \| good	1.374 \| good	0.077 \| good
2026-03-29T23:00:00.000Z	44 \| good	5.845 \| good	11.966 \| good	47.293 \| good	0.228 \| good	1.716 \| good	0.118 \| good
2026-03-30T00:00:00.000Z	44 \| good	5.881 \| good	11.83 \| good	46.885 \| good	0.219 \| good	1.592 \| good	0.119 \| good
2026-03-30T01:00:00.000Z	43 \| good	5.607 \| good	11.17 \| good	45.981 \| good	0.206 \| good	1.643 \| good	0.117 \| good
2026-03-30T02:00:00.000Z	42 \| good	5.241 \| good	11.212 \| good	45.28 \| good	0.204 \| good	1.466 \| good	0.117 \| good
2026-03-30T03:00:00.000Z	43 \| good	5.3 \| good	12.035 \| good	45.601 \| good	0.226 \| good	1.291 \| good	0.117 \| good
2026-03-30T04:00:00.000Z	43 \| good	5.077 \| good	12.3 \| good	46.132 \| good	0.231 \| good	1.21 \| good	0.116 \| good
2026-03-30T05:00:00.000Z	43 \| good	5.121 \| good	12.881 \| good	45.713 \| good	0.24 \| good	1.412 \| good	0.118 \| good
2026-03-30T06:00:00.000Z	42 \| good	5.304 \| good	12.509 \| good	44.971 \| good	0.279 \| good	1.869 \| good	0.12 \| good
2026-03-30T07:00:00.000Z	41 \| good	5.345 \| good	11.8 \| good	44.399 \| good	0.313 \| good	2.759 \| good	0.125 \| good
2026-03-30T08:00:00.000Z	42 \| good	4.93 \| good	10.767 \| good	45.106 \| good	0.325 \| good	2.669 \| good	0.127 \| good
2026-03-30T09:00:00.000Z	44 \| good	4.616 \| good	9.891 \| good	46.641 \| good	0.274 \| good	2.298 \| good	0.126 \| good
2026-03-30T10:00:00.000Z	44 \| good	4.542 \| good	10.002 \| good	47.368 \| good	0.228 \| good	1.708 \| good	0.125 \| good
2026-03-30T11:00:00.000Z	44 \| good	4.429 \| good	10.251 \| good	48.339 \| good	0.201 \| good	1.407 \| good	0.124 \| good
2026-03-30T12:00:00.000Z	46 \| good	4.236 \| good	10.729 \| good	49.542 \| good	0.19 \| good	1.268 \| good	0.123 \| good
2026-03-30T13:00:00.000Z	46 \| good	4.075 \| good	10.947 \| good	50.07 \| good	0.184 \| good	1.294 \| good	0.123 \| good
2026-03-30T14:00:00.000Z	47 \| good	3.991 \| good	10.759 \| good	51.043 \| good	0.187 \| good	1.238 \| good	0.123 \| good
2026-03-30T15:00:00.000Z	47 \| good	3.876 \| good	10.438 \| good	51.482 \| good	0.199 \| good	1.269 \| good	0.123 \| good
2026-03-30T16:00:00.000Z	48 \| good	3.877 \| good	10.151 \| good	51.702 \| good	0.218 \| good	1.499 \| good	0.124 \| good
2026-03-30T17:00:00.000Z	47 \| good	3.872 \| good	9.701 \| good	50.543 \| good	0.245 \| good	1.911 \| good	0.125 \| good
2026-03-30T18:00:00.000Z	45 \| good	4.301 \| good	9.905 \| good	49.306 \| good	0.275 \| good	2.611 \| good	0.128 \| good
2026-03-30T19:00:00.000Z	44 \| good	4.522 \| good	10.171 \| good	47.821 \| good	0.329 \| good	3.058 \| good	0.127 \| good
2026-03-30T20:00:00.000Z	43 \| good	4.583 \| good	10.507 \| good	46.294 \| good	0.378 \| good	3.063 \| good	0.124 \| good
2026-03-30T21:00:00.000Z	42 \| good	4.66 \| good	10.893 \| good	45.39 \| good	0.389 \| good	2.999 \| good	0.124 \| good
2026-03-30T22:00:00.000Z	41 \| good	4.729 \| good	11.219 \| good	43.919 \| good	0.41 \| good	3 \| good	0.124 \| good
2026-03-30T23:00:00.000Z	40 \| good	4.595 \| good	11.348 \| good	43.078 \| good	0.417 \| good	2.906 \| good	0.124 \| good
2026-03-31T00:00:00.000Z	39 \| good	4.69 \| good	11.622 \| good	41.942 \| good	0.375 \| good	2.755 \| good	0.124 \| good
2026-03-31T01:00:00.000Z	37 \| good	4.821 \| good	12.33 \| good	40.464 \| good	0.332 \| good	2.554 \| good	0.123 \| good
2026-03-31T02:00:00.000Z	38 \| good	5.051 \| good	13.093 \| good	40.57 \| good	0.291 \| good	2.018 \| good	0.123 \| good
2026-03-31T03:00:00.000Z	37 \| good	4.866 \| good	13.254 \| good	40.406 \| good	0.277 \| good	1.86 \| good	0.123 \| good
2026-03-31T04:00:00.000Z	36 \| good	4.727 \| good	9.808 \| good	38.784 \| good	0.276 \| good	2.069 \| good	0.124 \| good
2026-03-31T05:00:00.000Z	31 \| good	5.051 \| good	8.63 \| good	34.362 \| good	0.336 \| good	2.627 \| good	0.124 \| good
2026-03-31T06:00:00.000Z	29 \| good	5.427 \| good	8.479 \| good	30.957 \| good	0.356 \| good	3.93 \| good	0.126 \| good
2026-03-31T07:00:00.000Z	33 \| good	5.655 \| good	8.355 \| good	28.502 \| good	0.321 \| good	5.129 \| good	0.135 \| good
2026-03-31T08:00:00.000Z	27 \| good	5.343 \| good	7.526 \| good	28.341 \| good	0.361 \| good	5.508 \| good	0.133 \| good
2026-03-31T09:00:00.000Z	27 \| good	5.064 \| good	6.986 \| good	27.11 \| good	0.356 \| good	5.113 \| good	0.13 \| good
2026-03-31T10:00:00.000Z	27 \| good	5.025 \| good	6.874 \| good	26.721 \| good	0.351 \| good	5.056 \| good	0.127 \| good
2026-03-31T11:00:00.000Z	28 \| good	4.002 \| good	6.602 \| good	30.275 \| good	0.268 \| good	3.486 \| good	0.123 \| good
2026-03-31T12:00:00.000Z	29 \| good	3.434 \| good	5.773 \| good	30.913 \| good	0.224 \| good	2.824 \| good	0.117 \| good
2026-03-31T13:00:00.000Z	31 \| good	3.003 \| good	5.64 \| good	32.621 \| good	0.232 \| good	2.56 \| good	0.115 \| good
2026-03-31T14:00:00.000Z	31 \| good	3.23 \| good	5.777 \| good	34.054 \| good	0.232 \| good	2.058 \| good	0.114 \| good
2026-03-31T15:00:00.000Z	31 \| good	3.462 \| good	6.43 \| good	34.156 \| good	0.233 \| good	2.166 \| good	0.115 \| good
2026-03-31T16:00:00.000Z	31 \| good	3.675 \| good	6.428 \| good	33.571 \| good	0.267 \| good	2.944 \| good	0.119 \| good
2026-03-31T17:00:00.000Z	31 \| good	4.031 \| good	7.134 \| good	33.229 \| good	0.298 \| good	3.724 \| good	0.124 \| good
2026-03-31T18:00:00.000Z	30 \| good	4.927 \| good	7.619 \| good	31.963 \| good	0.369 \| good	5.099 \| good	0.127 \| good
2026-03-31T19:00:00.000Z	33 \| good	6.119 \| good	9.5 \| good	29.469 \| good	0.496 \| good	6.968 \| good	0.13 \| good
2026-03-31T20:00:00.000Z	38 \| good	6.9 \| good	9.758 \| good	27.635 \| good	0.572 \| good	6.932 \| good	0.129 \| good
2026-03-31T21:00:00.000Z	44 \| good	7.686 \| good	10.615 \| good	26.143 \| good	0.579 \| good	6.737 \| good	0.128 \| good
2026-03-31T22:00:00.000Z	49 \| good	8.528 \| good	11.362 \| good	26.585 \| good	0.585 \| good	7.19 \| good	0.129 \| good

Darton

Empower business decisions with accurate air quality data

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

0.07ppm

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 Darton, South Yorkshire updated?

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

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

The worst air quality in Darton, South Yorkshire was recorded at 09:00:00 on 2026-03-29.

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

The best air quality in Darton, South Yorkshire was recorded at 11:00:00 on 2026-03-29.

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

The real-time air quality index in Darton, South Yorkshire is 39, currently categorized as Good.

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

The most common pollutant in Darton, South Yorkshire is O3.

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

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

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

The measured PM_2.5 levels in Darton, South Yorkshire at present are 4.039 μg/m³.

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

The current PM₁₀ levels in Darton, South Yorkshire are 7.369 μg/m³.

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

The current carbon monoxide (CO) level in Darton, South Yorkshire is 0.077 ppm.

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

The current sulfur dioxide (SO₂) levels in Darton, South Yorkshire are 0.748 ppb.

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

The current ozone (O₃) levels at Darton, South Yorkshire is 41.576 ppm.

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

The current nitrogen dioxide (NO₂) levels at Darton, South Yorkshire is 1.374 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-03-27T23:00:00.000Z	30 \| good	5.381 \| good	11.747 \| good	32.382 \| good	0.806 \| good	6.85 \| good	0.082 \| good
2026-03-28T00:00:00.000Z	31 \| good	4.866 \| good	15.877 \| good	33.638 \| good	0.592 \| good	7.943 \| good	0.273 \| good
2026-03-28T01:00:00.000Z	32 \| good	5.072 \| good	14.501 \| good	34.855 \| good	0.625 \| good	5.277 \| good	0.23 \| good
2026-03-28T02:00:00.000Z	34 \| good	5.034 \| good	14.54 \| good	37.027 \| good	0.648 \| good	4.448 \| good	0.217 \| good
2026-03-28T03:00:00.000Z	33 \| good	5.127 \| good	12.617 \| good	35.722 \| good	0.415 \| good	3.627 \| good	0.209 \| good
2026-03-28T04:00:00.000Z	33 \| good	5.738 \| good	13.518 \| good	36.29 \| good	0.45 \| good	2.117 \| good	0.204 \| good
2026-03-28T05:00:00.000Z	33 \| good	5.793 \| good	12.37 \| good	33.004 \| good	0.541 \| good	2.948 \| good	0.2 \| good
2026-03-28T06:00:00.000Z	33 \| good	6.241 \| good	17.871 \| good	36.043 \| good	0.452 \| good	1.623 \| good	0.198 \| good
2026-03-28T07:00:00.000Z	34 \| good	5.953 \| good	14.611 \| good	36.538 \| good	0.417 \| good	2.007 \| good	0.059 \| good
2026-03-28T08:00:00.000Z	33 \| good	6.425 \| good	17.552 \| good	35.702 \| good	0.508 \| good	2.547 \| good	0.067 \| good
2026-03-28T09:00:00.000Z	38 \| good	6.683 \| good	17.604 \| good	36.55 \| good	0.689 \| good	2.651 \| good	0.073 \| good
2026-03-28T10:00:00.000Z	38 \| good	6.668 \| good	20.214 \| good	36.482 \| good	0.494 \| good	3.859 \| good	0.08 \| good
2026-03-28T11:00:00.000Z	38 \| good	7.064 \| good	23.122 \| good	35.494 \| good	0.543 \| good	4.107 \| good	0.082 \| good
2026-03-28T12:00:00.000Z	38 \| good	7.194 \| good	18.031 \| good	36.66 \| good	0.572 \| good	4.002 \| good	0.078 \| good
2026-03-28T13:00:00.000Z	38 \| good	7.328 \| good	18.183 \| good	36.623 \| good	0.572 \| good	3.748 \| good	0.078 \| good
2026-03-28T14:00:00.000Z	38 \| good	7.387 \| good	21.217 \| good	38.925 \| good	0.571 \| good	5.018 \| good	0.075 \| good
2026-03-28T15:00:00.000Z	38 \| good	7.347 \| good	20.982 \| good	38.237 \| good	0.568 \| good	4.052 \| good	0.09 \| good
2026-03-28T16:00:00.000Z	38 \| good	7.224 \| good	19.509 \| good	37.44 \| good	0.57 \| good	4.237 \| good	0.078 \| good
2026-03-28T17:00:00.000Z	38 \| good	6.86 \| good	17.438 \| good	38.363 \| good	0.567 \| good	3.956 \| good	0.08 \| good
2026-03-28T18:00:00.000Z	38 \| good	6.607 \| good	20.504 \| good	39.243 \| good	0.601 \| good	4.197 \| good	0.078 \| good
2026-03-28T19:00:00.000Z	36 \| good	6.302 \| good	19.653 \| good	38.971 \| good	0.57 \| good	5.298 \| good	0.09 \| good
2026-03-28T20:00:00.000Z	36 \| good	6.317 \| good	16.012 \| good	38.791 \| good	0.783 \| good	5.149 \| good	0.092 \| good
2026-03-28T21:00:00.000Z	36 \| good	6.149 \| good	16.742 \| good	38.634 \| good	0.565 \| good	5.068 \| good	0.083 \| good
2026-03-28T22:00:00.000Z	35 \| good	6.136 \| good	18.677 \| good	38.454 \| good	0.599 \| good	6.396 \| good	0.086 \| good
2026-03-28T23:00:00.000Z	34 \| good	5.911 \| good	19.269 \| good	36.587 \| good	0.689 \| good	5.706 \| good	0.083 \| good
2026-03-29T00:00:00.000Z	33 \| good	5.91 \| good	17.201 \| good	35.52 \| good	0.651 \| good	6.572 \| good	0.266 \| good
2026-03-29T01:00:00.000Z	33 \| good	6.196 \| good	18.922 \| good	34.995 \| good	0.652 \| good	4.998 \| good	0.264 \| good
2026-03-29T02:00:00.000Z	33 \| good	5.68 \| good	16.277 \| good	34.243 \| good	0.562 \| good	5.068 \| good	0.247 \| good
2026-03-29T03:00:00.000Z	33 \| good	5.74 \| good	19.043 \| good	30.854 \| good	0.565 \| good	5.788 \| good	0.299 \| good
2026-03-29T04:00:00.000Z	33 \| good	5.64 \| good	16.548 \| good	32.918 \| good	0.501 \| good	5.23 \| good	0.285 \| good
2026-03-29T05:00:00.000Z	33 \| good	5.572 \| good	10.759 \| good	34.665 \| good	0.414 \| good	5.233 \| good	0.081 \| good
2026-03-29T06:00:00.000Z	33 \| good	5.734 \| good	20.686 \| good	32.544 \| good	0.491 \| good	7.092 \| good	0.078 \| good
2026-03-29T07:00:00.000Z	27 \| good	5.149 \| good	13.432 \| good	29.119 \| good	0.531 \| good	8.319 \| good	0.078 \| good
2026-03-29T08:00:00.000Z	27 \| good	4.913 \| good	18.941 \| good	24.918 \| good	0.611 \| good	6.373 \| good	0.084 \| good
2026-03-29T09:00:00.000Z	33 \| good	6.175 \| good	17.385 \| good	27.484 \| good	0.654 \| good	7.135 \| good	0.096 \| good
2026-03-29T10:00:00.000Z	27 \| good	5.465 \| good	14.428 \| good	26.578 \| good	0.424 \| good	7.249 \| good	0.092 \| good
2026-03-29T11:00:00.000Z	27 \| good	5.23 \| good	15.339 \| good	27.025 \| good	0.458 \| good	5.178 \| good	0.073 \| good
2026-03-29T12:00:00.000Z	29 \| good	5.456 \| good	14.16 \| good	31.017 \| good	0.601 \| good	4.593 \| good	0.071 \| good
2026-03-29T13:00:00.000Z	30 \| good	5.299 \| good	18.025 \| good	31.982 \| good	0.652 \| good	4.995 \| good	0.081 \| good
2026-03-29T14:00:00.000Z	28 \| good	5.154 \| good	15.039 \| good	29.827 \| good	0.569 \| good	4.392 \| good	0.076 \| good
2026-03-29T15:00:00.000Z	32 \| good	5.05 \| good	14.858 \| good	35.304 \| good	0.571 \| good	5.064 \| good	0.079 \| good
2026-03-29T16:00:00.000Z	34 \| good	4.681 \| good	12.816 \| good	36.982 \| good	0.644 \| good	6.508 \| good	0.079 \| good
2026-03-29T17:00:00.000Z	31 \| good	4.53 \| good	14.424 \| good	33.729 \| good	0.611 \| good	4.702 \| good	0.078 \| good
2026-03-29T18:00:00.000Z	33 \| good	4.56 \| good	14.304 \| good	35.883 \| good	0.644 \| good	4.067 \| good	0.076 \| good
2026-03-29T19:00:00.000Z	35 \| good	4.47 \| good	11.574 \| good	38.393 \| good	0.532 \| good	3.318 \| good	0.086 \| good
2026-03-29T20:00:00.000Z	32 \| good	4.417 \| good	12.21 \| good	34.911 \| good	0.727 \| good	3.1 \| good	0.11 \| good
2026-03-29T21:00:00.000Z	35 \| good	4.637 \| good	11.263 \| good	37.561 \| good	0.596 \| good	4.501 \| good	0.075 \| good
2026-03-29T22:00:00.000Z	39 \| good	4.039 \| good	7.369 \| good	41.576 \| good	0.748 \| good	1.374 \| good	0.077 \| good
2026-03-29T23:00:00.000Z	44 \| good	5.845 \| good	11.966 \| good	47.293 \| good	0.228 \| good	1.716 \| good	0.118 \| good
2026-03-30T00:00:00.000Z	44 \| good	5.881 \| good	11.83 \| good	46.885 \| good	0.219 \| good	1.592 \| good	0.119 \| good
2026-03-30T01:00:00.000Z	43 \| good	5.607 \| good	11.17 \| good	45.981 \| good	0.206 \| good	1.643 \| good	0.117 \| good
2026-03-30T02:00:00.000Z	42 \| good	5.241 \| good	11.212 \| good	45.28 \| good	0.204 \| good	1.466 \| good	0.117 \| good
2026-03-30T03:00:00.000Z	43 \| good	5.3 \| good	12.035 \| good	45.601 \| good	0.226 \| good	1.291 \| good	0.117 \| good
2026-03-30T04:00:00.000Z	43 \| good	5.077 \| good	12.3 \| good	46.132 \| good	0.231 \| good	1.21 \| good	0.116 \| good
2026-03-30T05:00:00.000Z	43 \| good	5.121 \| good	12.881 \| good	45.713 \| good	0.24 \| good	1.412 \| good	0.118 \| good
2026-03-30T06:00:00.000Z	42 \| good	5.304 \| good	12.509 \| good	44.971 \| good	0.279 \| good	1.869 \| good	0.12 \| good
2026-03-30T07:00:00.000Z	41 \| good	5.345 \| good	11.8 \| good	44.399 \| good	0.313 \| good	2.759 \| good	0.125 \| good
2026-03-30T08:00:00.000Z	42 \| good	4.93 \| good	10.767 \| good	45.106 \| good	0.325 \| good	2.669 \| good	0.127 \| good
2026-03-30T09:00:00.000Z	44 \| good	4.616 \| good	9.891 \| good	46.641 \| good	0.274 \| good	2.298 \| good	0.126 \| good
2026-03-30T10:00:00.000Z	44 \| good	4.542 \| good	10.002 \| good	47.368 \| good	0.228 \| good	1.708 \| good	0.125 \| good
2026-03-30T11:00:00.000Z	44 \| good	4.429 \| good	10.251 \| good	48.339 \| good	0.201 \| good	1.407 \| good	0.124 \| good
2026-03-30T12:00:00.000Z	46 \| good	4.236 \| good	10.729 \| good	49.542 \| good	0.19 \| good	1.268 \| good	0.123 \| good
2026-03-30T13:00:00.000Z	46 \| good	4.075 \| good	10.947 \| good	50.07 \| good	0.184 \| good	1.294 \| good	0.123 \| good
2026-03-30T14:00:00.000Z	47 \| good	3.991 \| good	10.759 \| good	51.043 \| good	0.187 \| good	1.238 \| good	0.123 \| good
2026-03-30T15:00:00.000Z	47 \| good	3.876 \| good	10.438 \| good	51.482 \| good	0.199 \| good	1.269 \| good	0.123 \| good
2026-03-30T16:00:00.000Z	48 \| good	3.877 \| good	10.151 \| good	51.702 \| good	0.218 \| good	1.499 \| good	0.124 \| good
2026-03-30T17:00:00.000Z	47 \| good	3.872 \| good	9.701 \| good	50.543 \| good	0.245 \| good	1.911 \| good	0.125 \| good
2026-03-30T18:00:00.000Z	45 \| good	4.301 \| good	9.905 \| good	49.306 \| good	0.275 \| good	2.611 \| good	0.128 \| good
2026-03-30T19:00:00.000Z	44 \| good	4.522 \| good	10.171 \| good	47.821 \| good	0.329 \| good	3.058 \| good	0.127 \| good
2026-03-30T20:00:00.000Z	43 \| good	4.583 \| good	10.507 \| good	46.294 \| good	0.378 \| good	3.063 \| good	0.124 \| good
2026-03-30T21:00:00.000Z	42 \| good	4.66 \| good	10.893 \| good	45.39 \| good	0.389 \| good	2.999 \| good	0.124 \| good
2026-03-30T22:00:00.000Z	41 \| good	4.729 \| good	11.219 \| good	43.919 \| good	0.41 \| good	3 \| good	0.124 \| good
2026-03-30T23:00:00.000Z	40 \| good	4.595 \| good	11.348 \| good	43.078 \| good	0.417 \| good	2.906 \| good	0.124 \| good
2026-03-31T00:00:00.000Z	39 \| good	4.69 \| good	11.622 \| good	41.942 \| good	0.375 \| good	2.755 \| good	0.124 \| good
2026-03-31T01:00:00.000Z	37 \| good	4.821 \| good	12.33 \| good	40.464 \| good	0.332 \| good	2.554 \| good	0.123 \| good
2026-03-31T02:00:00.000Z	38 \| good	5.051 \| good	13.093 \| good	40.57 \| good	0.291 \| good	2.018 \| good	0.123 \| good
2026-03-31T03:00:00.000Z	37 \| good	4.866 \| good	13.254 \| good	40.406 \| good	0.277 \| good	1.86 \| good	0.123 \| good
2026-03-31T04:00:00.000Z	36 \| good	4.727 \| good	9.808 \| good	38.784 \| good	0.276 \| good	2.069 \| good	0.124 \| good
2026-03-31T05:00:00.000Z	31 \| good	5.051 \| good	8.63 \| good	34.362 \| good	0.336 \| good	2.627 \| good	0.124 \| good
2026-03-31T06:00:00.000Z	29 \| good	5.427 \| good	8.479 \| good	30.957 \| good	0.356 \| good	3.93 \| good	0.126 \| good
2026-03-31T07:00:00.000Z	33 \| good	5.655 \| good	8.355 \| good	28.502 \| good	0.321 \| good	5.129 \| good	0.135 \| good
2026-03-31T08:00:00.000Z	27 \| good	5.343 \| good	7.526 \| good	28.341 \| good	0.361 \| good	5.508 \| good	0.133 \| good
2026-03-31T09:00:00.000Z	27 \| good	5.064 \| good	6.986 \| good	27.11 \| good	0.356 \| good	5.113 \| good	0.13 \| good
2026-03-31T10:00:00.000Z	27 \| good	5.025 \| good	6.874 \| good	26.721 \| good	0.351 \| good	5.056 \| good	0.127 \| good
2026-03-31T11:00:00.000Z	28 \| good	4.002 \| good	6.602 \| good	30.275 \| good	0.268 \| good	3.486 \| good	0.123 \| good
2026-03-31T12:00:00.000Z	29 \| good	3.434 \| good	5.773 \| good	30.913 \| good	0.224 \| good	2.824 \| good	0.117 \| good
2026-03-31T13:00:00.000Z	31 \| good	3.003 \| good	5.64 \| good	32.621 \| good	0.232 \| good	2.56 \| good	0.115 \| good
2026-03-31T14:00:00.000Z	31 \| good	3.23 \| good	5.777 \| good	34.054 \| good	0.232 \| good	2.058 \| good	0.114 \| good
2026-03-31T15:00:00.000Z	31 \| good	3.462 \| good	6.43 \| good	34.156 \| good	0.233 \| good	2.166 \| good	0.115 \| good
2026-03-31T16:00:00.000Z	31 \| good	3.675 \| good	6.428 \| good	33.571 \| good	0.267 \| good	2.944 \| good	0.119 \| good
2026-03-31T17:00:00.000Z	31 \| good	4.031 \| good	7.134 \| good	33.229 \| good	0.298 \| good	3.724 \| good	0.124 \| good
2026-03-31T18:00:00.000Z	30 \| good	4.927 \| good	7.619 \| good	31.963 \| good	0.369 \| good	5.099 \| good	0.127 \| good
2026-03-31T19:00:00.000Z	33 \| good	6.119 \| good	9.5 \| good	29.469 \| good	0.496 \| good	6.968 \| good	0.13 \| good
2026-03-31T20:00:00.000Z	38 \| good	6.9 \| good	9.758 \| good	27.635 \| good	0.572 \| good	6.932 \| good	0.129 \| good
2026-03-31T21:00:00.000Z	44 \| good	7.686 \| good	10.615 \| good	26.143 \| good	0.579 \| good	6.737 \| good	0.128 \| good
2026-03-31T22:00:00.000Z	49 \| good	8.528 \| good	11.362 \| good	26.585 \| good	0.585 \| good	7.19 \| good	0.129 \| good

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

Common air pollutants in Darton, South Yorkshire

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Darton, South Yorkshire air quality forecast and history

Empower business decisions with accurate air quality data

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

Air quality in nearby cities

Barnsley, South Yorkshire

Royston, South Yorkshire

Cudworth, South Yorkshire

Wakefield, West Yorkshire

Ossett, West Yorkshire

Wombwell, 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 Darton, South Yorkshire updated?

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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