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

The current PM10 levels in Doncaster, South Yorkshire are 17.987 μg/m3.

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

The current sulfur dioxide (SO2) levels in Doncaster, South Yorkshire are 0.432 ppb.

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

The current ozone (O3) levels at Doncaster, South Yorkshire is 17.298 ppm.

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

The current nitrogen dioxide (NO2) levels at Doncaster, South Yorkshire is 4.252 ppb.

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

Name: Live air pollution levels in Doncaster, South Yorkshire today
Creator: Ambee

Stay updated with real-time air quality in Doncaster, 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)

Moderate

Doncaster, South Yorkshire

Last updated: ... (Local time)

Common air pollutants in Doncaster, South Yorkshire

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

15.97 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

70.86 μg/m³

155

255

425

605+

Ozone (O₃)

24.55 ppb

201

201+

Sulfur Dioxide (SO₂)

0.47 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

2.66 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.25 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

Doncaster, South Yorkshire

Get Live Pollen Counts

Doncaster, South Yorkshire

Scroll To Air Quality Map

Track live Doncaster, South Yorkshire air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-09-16T04:00:00.000Z	24 \| good	3.042 \| good	11.922 \| good	26.412 \| good	0.573 \| good	1.073 \| good	0.268 \| good
2025-09-16T05:00:00.000Z	26 \| good	3.041 \| good	11.93 \| good	28.348 \| good	0.466 \| good	0.573 \| good	0.271 \| good
2025-09-16T06:00:00.000Z	27 \| good	3.048 \| good	11.889 \| good	28.624 \| good	0.382 \| good	2.12 \| good	0.087 \| good
2025-09-16T07:00:00.000Z	24 \| good	3.064 \| good	11.905 \| good	26.268 \| good	0.423 \| good	3.221 \| good	0.093 \| good
2025-09-16T08:00:00.000Z	27 \| good	3.096 \| good	11.929 \| good	28.609 \| good	0.382 \| good	5.386 \| good	0.086 \| good
2025-09-16T09:00:00.000Z	26 \| good	3.128 \| good	11.947 \| good	27.609 \| good	0.618 \| good	5.916 \| good	0.082 \| good
2025-09-16T10:00:00.000Z	26 \| good	3.128 \| good	11.947 \| good	28.271 \| good	0.577 \| good	6.858 \| good	0.096 \| good
2025-09-16T11:00:00.000Z	24 \| good	3.01 \| good	11.905 \| good	25.743 \| good	0.492 \| good	4.797 \| good	0.079 \| good
2025-09-16T12:00:00.000Z	23 \| good	3.012 \| good	11.918 \| good	25.404 \| good	0.619 \| good	5.278 \| good	0.073 \| good
2025-09-16T13:00:00.000Z	25 \| good	3.01 \| good	11.893 \| good	27.387 \| good	0.585 \| good	4.782 \| good	0.071 \| good
2025-09-16T14:00:00.000Z	26 \| good	3.01 \| good	11.88 \| good	27.787 \| good	0.382 \| good	4.761 \| good	0.072 \| good
2025-09-16T15:00:00.000Z	27 \| good	3.012 \| good	11.912 \| good	29.002 \| good	0.538 \| good	4.768 \| good	0.074 \| good
2025-09-16T16:00:00.000Z	28 \| good	3.011 \| good	11.902 \| good	29.57 \| good	0.465 \| good	4.838 \| good	0.069 \| good
2025-09-16T17:00:00.000Z	25 \| good	3.012 \| good	11.926 \| good	27.112 \| good	0.532 \| good	4.924 \| good	0.071 \| good
2025-09-16T18:00:00.000Z	28 \| good	3.01 \| good	11.895 \| good	29.753 \| good	0.531 \| good	5.9 \| good	0.077 \| good
2025-09-16T19:00:00.000Z	27 \| good	3.011 \| good	11.89 \| good	28.56 \| good	0.463 \| good	5.449 \| good	0.082 \| good
2025-09-16T20:00:00.000Z	26 \| good	3.012 \| good	11.922 \| good	27.871 \| good	0.534 \| good	8.107 \| good	0.08 \| good
2025-09-16T21:00:00.000Z	25 \| good	3.013 \| good	11.941 \| good	26.555 \| good	0.445 \| good	13.261 \| good	0.081 \| good
2025-09-16T22:00:00.000Z	22 \| good	3.028 \| good	11.974 \| good	23.973 \| good	0.382 \| good	21.601 \| good	0.067 \| good
2025-09-16T23:00:00.000Z	22 \| good	3.983 \| good	17.75 \| good	23.438 \| good	0.382 \| good	16.335 \| good	0.069 \| good
2025-09-17T00:00:00.000Z	22 \| good	3.982 \| good	17.776 \| good	21.44 \| good	0.541 \| good	11.099 \| good	0.177 \| good
2025-09-17T01:00:00.000Z	22 \| good	3.983 \| good	17.73 \| good	22.04 \| good	0.527 \| good	12.562 \| good	0.227 \| good
2025-09-17T02:00:00.000Z	22 \| good	3.985 \| good	17.722 \| good	19.846 \| good	0.469 \| good	9.366 \| good	0.247 \| good
2025-09-17T03:00:00.000Z	22 \| good	3.988 \| good	17.776 \| good	18.927 \| good	0.469 \| good	9.366 \| good	0.243 \| good
2025-09-17T04:00:00.000Z	22 \| good	3.983 \| good	17.772 \| good	17.365 \| good	0.43 \| good	4.201 \| good	0.242 \| good
2025-09-17T05:00:00.000Z	22 \| good	3.994 \| good	17.815 \| good	16.838 \| good	0.382 \| good	6.325 \| good	0.25 \| good
2025-09-17T06:00:00.000Z	22 \| good	3.995 \| good	17.808 \| good	17.715 \| good	0.443 \| good	12.551 \| good	0.067 \| good
2025-09-17T07:00:00.000Z	22 \| good	3.992 \| good	17.826 \| good	17.639 \| good	0.532 \| good	10.64 \| good	0.072 \| good
2025-09-17T08:00:00.000Z	44 \| good	7.836 \| good	34.122 \| good	15.8 \| good	0.452 \| good	13.171 \| good	0.068 \| good
2025-09-17T09:00:00.000Z	64 \| moderate	16.488 \| fine	72.623 \| fine	19.713 \| good	0.535 \| good	11.735 \| good	0.065 \| good
2025-09-17T10:00:00.000Z	66 \| moderate	17.453 \| fine	76.47 \| fine	16.185 \| good	0.644 \| good	11.248 \| good	0.063 \| good
2025-09-17T11:00:00.000Z	64 \| moderate	16.486 \| fine	72.599 \| fine	19.996 \| good	0.643 \| good	15.249 \| good	0.08 \| good
2025-09-17T12:00:00.000Z	64 \| moderate	16.482 \| fine	72.612 \| fine	21.205 \| good	0.628 \| good	16.177 \| good	0.063 \| good
2025-09-17T13:00:00.000Z	64 \| moderate	16.463 \| fine	72.578 \| fine	18.721 \| good	0.631 \| good	9.997 \| good	0.065 \| good
2025-09-17T14:00:00.000Z	64 \| moderate	16.491 \| fine	72.451 \| fine	18.995 \| good	0.714 \| good	7.39 \| good	0.062 \| good
2025-09-17T15:00:00.000Z	64 \| moderate	16.47 \| fine	72.443 \| fine	23.096 \| good	0.632 \| good	6.343 \| good	0.062 \| good
2025-09-17T16:00:00.000Z	64 \| moderate	16.451 \| fine	72.54 \| fine	20.653 \| good	0.562 \| good	8.384 \| good	0.063 \| good
2025-09-17T17:00:00.000Z	64 \| moderate	16.452 \| fine	72.446 \| fine	19.539 \| good	0.536 \| good	5.322 \| good	0.069 \| good
2025-09-17T18:00:00.000Z	64 \| moderate	16.452 \| fine	72.416 \| fine	20.741 \| good	0.455 \| good	5.898 \| good	0.068 \| good
2025-09-17T19:00:00.000Z	64 \| moderate	16.454 \| fine	72.444 \| fine	21.88 \| good	0.538 \| good	5.862 \| good	0.067 \| good
2025-09-17T20:00:00.000Z	64 \| moderate	16.454 \| fine	72.414 \| fine	20.63 \| good	0.455 \| good	6.402 \| good	0.07 \| good
2025-09-17T21:00:00.000Z	64 \| moderate	16.435 \| fine	72.405 \| fine	21.675 \| good	0.538 \| good	7.868 \| good	0.079 \| good
2025-09-17T22:00:00.000Z	62 \| moderate	15.477 \| fine	68.535 \| fine	21.711 \| good	0.537 \| good	8.895 \| good	0.049 \| good
2025-09-17T23:00:00.000Z	62 \| moderate	15.475 \| fine	68.536 \| fine	23.424 \| good	0.534 \| good	9.405 \| good	0.048 \| good
2025-09-18T00:00:00.000Z	62 \| moderate	15.462 \| fine	68.507 \| fine	24.185 \| good	0.534 \| good	6.799 \| good	0.29 \| good
2025-09-18T01:00:00.000Z	62 \| moderate	15.461 \| fine	68.615 \| fine	24.582 \| good	0.534 \| good	4.206 \| good	0.207 \| good
2025-09-18T02:00:00.000Z	62 \| moderate	15.46 \| fine	68.608 \| fine	24.558 \| good	0.466 \| good	2.628 \| good	0.247 \| good
2025-09-18T03:00:00.000Z	64 \| moderate	15.969 \| fine	70.863 \| fine	24.55 \| good	0.467 \| good	2.658 \| good	0.247 \| good
2025-09-17T05:00:00.000Z	22 \| good	4.091 \| good	4.797 \| good	21.638 \| good	0.186 \| good	5.539 \| good	0.13 \| good
2025-09-17T06:00:00.000Z	20 \| good	3.376 \| good	4.593 \| good	22.26 \| good	0.188 \| good	5.671 \| good	0.135 \| good
2025-09-17T07:00:00.000Z	21 \| good	2.893 \| good	3.635 \| good	23.091 \| good	0.173 \| good	5.327 \| good	0.133 \| good
2025-09-17T08:00:00.000Z	22 \| good	2.458 \| good	2.854 \| good	23.88 \| good	0.17 \| good	4.723 \| good	0.127 \| good
2025-09-17T09:00:00.000Z	24 \| good	2.106 \| good	2.637 \| good	26.066 \| good	0.146 \| good	4.656 \| good	0.123 \| good
2025-09-17T10:00:00.000Z	25 \| good	2.601 \| good	3.098 \| good	26.935 \| good	0.193 \| good	5.051 \| good	0.125 \| good
2025-09-17T11:00:00.000Z	27 \| good	2.984 \| good	4.095 \| good	29.387 \| good	0.169 \| good	4.057 \| good	0.123 \| good
2025-09-17T12:00:00.000Z	28 \| good	2.607 \| good	4.321 \| good	29.619 \| good	0.14 \| good	2.372 \| good	0.12 \| good
2025-09-17T13:00:00.000Z	29 \| good	2.425 \| good	5.317 \| good	31.016 \| good	0.142 \| good	1.627 \| good	0.114 \| good
2025-09-17T14:00:00.000Z	30 \| good	3.105 \| good	7.175 \| good	31.609 \| good	0.137 \| good	1.611 \| good	0.109 \| good
2025-09-17T15:00:00.000Z	30 \| good	3.601 \| good	7.071 \| good	31.704 \| good	0.137 \| good	1.793 \| good	0.106 \| good
2025-09-17T16:00:00.000Z	30 \| good	3.565 \| good	6.585 \| good	32.313 \| good	0.159 \| good	2.536 \| good	0.107 \| good
2025-09-17T17:00:00.000Z	30 \| good	3.376 \| good	6.906 \| good	32.455 \| good	0.174 \| good	3.195 \| good	0.108 \| good
2025-09-17T18:00:00.000Z	31 \| good	3.659 \| good	6.687 \| good	32.978 \| good	0.229 \| good	3.788 \| good	0.109 \| good
2025-09-17T19:00:00.000Z	31 \| good	3.501 \| good	7.393 \| good	32.923 \| good	0.257 \| good	3.568 \| good	0.11 \| good
2025-09-17T20:00:00.000Z	31 \| good	3.893 \| good	8.106 \| good	33.409 \| good	0.246 \| good	3.164 \| good	0.109 \| good
2025-09-17T21:00:00.000Z	31 \| good	3.992 \| good	8.737 \| good	33.4 \| good	0.252 \| good	2.897 \| good	0.111 \| good
2025-09-17T22:00:00.000Z	30 \| good	4.027 \| good	8.968 \| good	32.383 \| good	0.244 \| good	2.77 \| good	0.112 \| good
2025-09-17T23:00:00.000Z	31 \| good	3.918 \| good	8.778 \| good	32.709 \| good	0.199 \| good	2.535 \| good	0.112 \| good
2025-09-18T00:00:00.000Z	31 \| good	3.861 \| good	8.551 \| good	33.59 \| good	0.166 \| good	2.195 \| good	0.112 \| good
2025-09-18T01:00:00.000Z	31 \| good	3.915 \| good	8.351 \| good	33.836 \| good	0.161 \| good	1.93 \| good	0.111 \| good
2025-09-18T02:00:00.000Z	30 \| good	3.935 \| good	7.997 \| good	32.075 \| good	0.153 \| good	1.858 \| good	0.111 \| good
2025-09-18T03:00:00.000Z	29 \| good	3.705 \| good	6.785 \| good	31.483 \| good	0.155 \| good	1.858 \| good	0.11 \| good
2025-09-18T04:00:00.000Z	26 \| good	3.474 \| good	6.01 \| good	28.271 \| good	0.129 \| good	1.764 \| good	0.11 \| good
2025-09-18T05:00:00.000Z	23 \| good	3.504 \| good	5.974 \| good	25.166 \| good	0.121 \| good	2.166 \| good	0.107 \| good
2025-09-18T06:00:00.000Z	20 \| good	3.283 \| good	6.844 \| good	22.276 \| good	0.156 \| good	3.656 \| good	0.106 \| good
2025-09-18T07:00:00.000Z	20 \| good	3.379 \| good	5.996 \| good	22.163 \| good	0.192 \| good	4.695 \| good	0.11 \| good
2025-09-18T08:00:00.000Z	23 \| good	3.423 \| good	6.238 \| good	24.827 \| good	0.173 \| good	4.049 \| good	0.107 \| good
2025-09-18T09:00:00.000Z	25 \| good	3.109 \| good	6.004 \| good	26.682 \| good	0.16 \| good	3.162 \| good	0.107 \| good
2025-09-18T10:00:00.000Z	27 \| good	2.879 \| good	5.615 \| good	28.593 \| good	0.147 \| good	2.498 \| good	0.104 \| good
2025-09-18T11:00:00.000Z	27 \| good	2.938 \| good	5.679 \| good	29.301 \| good	0.13 \| good	2.222 \| good	0.103 \| good
2025-09-18T12:00:00.000Z	27 \| good	2.99 \| good	5.494 \| good	29.22 \| good	0.112 \| good	1.97 \| good	0.102 \| good
2025-09-18T13:00:00.000Z	26 \| good	2.644 \| good	5.518 \| good	28.122 \| good	0.11 \| good	1.906 \| good	0.102 \| good
2025-09-18T14:00:00.000Z	26 \| good	2.576 \| good	5.182 \| good	27.51 \| good	0.11 \| good	2.034 \| good	0.103 \| good
2025-09-18T15:00:00.000Z	26 \| good	2.227 \| good	5.483 \| good	27.822 \| good	0.113 \| good	2.18 \| good	0.103 \| good
2025-09-18T16:00:00.000Z	24 \| good	2.172 \| good	5.768 \| good	26.405 \| good	0.117 \| good	2.575 \| good	0.103 \| good
2025-09-18T17:00:00.000Z	24 \| good	2.391 \| good	5.158 \| good	26.409 \| good	0.13 \| good	3.353 \| good	0.105 \| good
2025-09-18T18:00:00.000Z	23 \| good	2.495 \| good	5.188 \| good	24.974 \| good	0.154 \| good	3.85 \| good	0.105 \| good
2025-09-18T19:00:00.000Z	23 \| good	2.562 \| good	5.334 \| good	25.17 \| good	0.174 \| good	3.788 \| good	0.105 \| good
2025-09-18T20:00:00.000Z	25 \| good	2.595 \| good	5.431 \| good	26.833 \| good	0.174 \| good	3.039 \| good	0.102 \| good
2025-09-18T21:00:00.000Z	26 \| good	2.747 \| good	5.344 \| good	27.987 \| good	0.159 \| good	2.528 \| good	0.1 \| good
2025-09-18T22:00:00.000Z	25 \| good	2.777 \| good	5.161 \| good	26.923 \| good	0.139 \| good	2.473 \| good	0.099 \| good
2025-09-18T23:00:00.000Z	26 \| good	2.828 \| good	5.053 \| good	27.615 \| good	0.109 \| good	2.109 \| good	0.099 \| good
2025-09-19T00:00:00.000Z	24 \| good	3.053 \| good	5.204 \| good	25.776 \| good	0.096 \| good	1.862 \| good	0.099 \| good
2025-09-19T01:00:00.000Z	25 \| good	3.059 \| good	5.235 \| good	26.708 \| good	0.095 \| good	1.743 \| good	0.098 \| good
2025-09-19T02:00:00.000Z	24 \| good	2.791 \| good	5.068 \| good	26.408 \| good	0.084 \| good	1.712 \| good	0.1 \| good
2025-09-19T03:00:00.000Z	24 \| good	2.849 \| good	5.063 \| good	26.356 \| good	0.079 \| good	1.838 \| good	0.101 \| good
2025-09-19T04:00:00.000Z	25 \| good	2.798 \| good	5.182 \| good	26.935 \| good	0.088 \| good	2.137 \| good	0.102 \| good

Doncaster

Empower business decisions with accurate air quality data

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

0.24ppm

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 Doncaster, South Yorkshire updated?

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

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

The worst air quality in Doncaster, South Yorkshire was recorded at 06:00:00 on 2025-09-16.

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

The best air quality in Doncaster, South Yorkshire was recorded at 03:00:00 on 2025-09-17.

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

The real-time air quality index in Doncaster, South Yorkshire is 22, currently categorized as Good.

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

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

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

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

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

The measured PM_2.5 levels in Doncaster, South Yorkshire at present are 3.999 μg/m³.

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

The current PM₁₀ levels in Doncaster, South Yorkshire are 17.987 μg/m³.

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

The current carbon monoxide (CO) level in Doncaster, South Yorkshire is 0.242 ppm.

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

The current sulfur dioxide (SO₂) levels in Doncaster, South Yorkshire are 0.432 ppb.

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

The current ozone (O₃) levels at Doncaster, South Yorkshire is 17.298 ppm.

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

The current nitrogen dioxide (NO₂) levels at Doncaster, South Yorkshire is 4.252 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-09-16T04:00:00.000Z	24 \| good	3.042 \| good	11.922 \| good	26.412 \| good	0.573 \| good	1.073 \| good	0.268 \| good
2025-09-16T05:00:00.000Z	26 \| good	3.041 \| good	11.93 \| good	28.348 \| good	0.466 \| good	0.573 \| good	0.271 \| good
2025-09-16T06:00:00.000Z	27 \| good	3.048 \| good	11.889 \| good	28.624 \| good	0.382 \| good	2.12 \| good	0.087 \| good
2025-09-16T07:00:00.000Z	24 \| good	3.064 \| good	11.905 \| good	26.268 \| good	0.423 \| good	3.221 \| good	0.093 \| good
2025-09-16T08:00:00.000Z	27 \| good	3.096 \| good	11.929 \| good	28.609 \| good	0.382 \| good	5.386 \| good	0.086 \| good
2025-09-16T09:00:00.000Z	26 \| good	3.128 \| good	11.947 \| good	27.609 \| good	0.618 \| good	5.916 \| good	0.082 \| good
2025-09-16T10:00:00.000Z	26 \| good	3.128 \| good	11.947 \| good	28.271 \| good	0.577 \| good	6.858 \| good	0.096 \| good
2025-09-16T11:00:00.000Z	24 \| good	3.01 \| good	11.905 \| good	25.743 \| good	0.492 \| good	4.797 \| good	0.079 \| good
2025-09-16T12:00:00.000Z	23 \| good	3.012 \| good	11.918 \| good	25.404 \| good	0.619 \| good	5.278 \| good	0.073 \| good
2025-09-16T13:00:00.000Z	25 \| good	3.01 \| good	11.893 \| good	27.387 \| good	0.585 \| good	4.782 \| good	0.071 \| good
2025-09-16T14:00:00.000Z	26 \| good	3.01 \| good	11.88 \| good	27.787 \| good	0.382 \| good	4.761 \| good	0.072 \| good
2025-09-16T15:00:00.000Z	27 \| good	3.012 \| good	11.912 \| good	29.002 \| good	0.538 \| good	4.768 \| good	0.074 \| good
2025-09-16T16:00:00.000Z	28 \| good	3.011 \| good	11.902 \| good	29.57 \| good	0.465 \| good	4.838 \| good	0.069 \| good
2025-09-16T17:00:00.000Z	25 \| good	3.012 \| good	11.926 \| good	27.112 \| good	0.532 \| good	4.924 \| good	0.071 \| good
2025-09-16T18:00:00.000Z	28 \| good	3.01 \| good	11.895 \| good	29.753 \| good	0.531 \| good	5.9 \| good	0.077 \| good
2025-09-16T19:00:00.000Z	27 \| good	3.011 \| good	11.89 \| good	28.56 \| good	0.463 \| good	5.449 \| good	0.082 \| good
2025-09-16T20:00:00.000Z	26 \| good	3.012 \| good	11.922 \| good	27.871 \| good	0.534 \| good	8.107 \| good	0.08 \| good
2025-09-16T21:00:00.000Z	25 \| good	3.013 \| good	11.941 \| good	26.555 \| good	0.445 \| good	13.261 \| good	0.081 \| good
2025-09-16T22:00:00.000Z	22 \| good	3.028 \| good	11.974 \| good	23.973 \| good	0.382 \| good	21.601 \| good	0.067 \| good
2025-09-16T23:00:00.000Z	22 \| good	3.983 \| good	17.75 \| good	23.438 \| good	0.382 \| good	16.335 \| good	0.069 \| good
2025-09-17T00:00:00.000Z	22 \| good	3.982 \| good	17.776 \| good	21.44 \| good	0.541 \| good	11.099 \| good	0.177 \| good
2025-09-17T01:00:00.000Z	22 \| good	3.983 \| good	17.73 \| good	22.04 \| good	0.527 \| good	12.562 \| good	0.227 \| good
2025-09-17T02:00:00.000Z	22 \| good	3.985 \| good	17.722 \| good	19.846 \| good	0.469 \| good	9.366 \| good	0.247 \| good
2025-09-17T03:00:00.000Z	22 \| good	3.988 \| good	17.776 \| good	18.927 \| good	0.469 \| good	9.366 \| good	0.243 \| good
2025-09-17T04:00:00.000Z	22 \| good	3.983 \| good	17.772 \| good	17.365 \| good	0.43 \| good	4.201 \| good	0.242 \| good
2025-09-17T05:00:00.000Z	22 \| good	3.994 \| good	17.815 \| good	16.838 \| good	0.382 \| good	6.325 \| good	0.25 \| good
2025-09-17T06:00:00.000Z	22 \| good	3.995 \| good	17.808 \| good	17.715 \| good	0.443 \| good	12.551 \| good	0.067 \| good
2025-09-17T07:00:00.000Z	22 \| good	3.992 \| good	17.826 \| good	17.639 \| good	0.532 \| good	10.64 \| good	0.072 \| good
2025-09-17T08:00:00.000Z	44 \| good	7.836 \| good	34.122 \| good	15.8 \| good	0.452 \| good	13.171 \| good	0.068 \| good
2025-09-17T09:00:00.000Z	64 \| moderate	16.488 \| fine	72.623 \| fine	19.713 \| good	0.535 \| good	11.735 \| good	0.065 \| good
2025-09-17T10:00:00.000Z	66 \| moderate	17.453 \| fine	76.47 \| fine	16.185 \| good	0.644 \| good	11.248 \| good	0.063 \| good
2025-09-17T11:00:00.000Z	64 \| moderate	16.486 \| fine	72.599 \| fine	19.996 \| good	0.643 \| good	15.249 \| good	0.08 \| good
2025-09-17T12:00:00.000Z	64 \| moderate	16.482 \| fine	72.612 \| fine	21.205 \| good	0.628 \| good	16.177 \| good	0.063 \| good
2025-09-17T13:00:00.000Z	64 \| moderate	16.463 \| fine	72.578 \| fine	18.721 \| good	0.631 \| good	9.997 \| good	0.065 \| good
2025-09-17T14:00:00.000Z	64 \| moderate	16.491 \| fine	72.451 \| fine	18.995 \| good	0.714 \| good	7.39 \| good	0.062 \| good
2025-09-17T15:00:00.000Z	64 \| moderate	16.47 \| fine	72.443 \| fine	23.096 \| good	0.632 \| good	6.343 \| good	0.062 \| good
2025-09-17T16:00:00.000Z	64 \| moderate	16.451 \| fine	72.54 \| fine	20.653 \| good	0.562 \| good	8.384 \| good	0.063 \| good
2025-09-17T17:00:00.000Z	64 \| moderate	16.452 \| fine	72.446 \| fine	19.539 \| good	0.536 \| good	5.322 \| good	0.069 \| good
2025-09-17T18:00:00.000Z	64 \| moderate	16.452 \| fine	72.416 \| fine	20.741 \| good	0.455 \| good	5.898 \| good	0.068 \| good
2025-09-17T19:00:00.000Z	64 \| moderate	16.454 \| fine	72.444 \| fine	21.88 \| good	0.538 \| good	5.862 \| good	0.067 \| good
2025-09-17T20:00:00.000Z	64 \| moderate	16.454 \| fine	72.414 \| fine	20.63 \| good	0.455 \| good	6.402 \| good	0.07 \| good
2025-09-17T21:00:00.000Z	64 \| moderate	16.435 \| fine	72.405 \| fine	21.675 \| good	0.538 \| good	7.868 \| good	0.079 \| good
2025-09-17T22:00:00.000Z	62 \| moderate	15.477 \| fine	68.535 \| fine	21.711 \| good	0.537 \| good	8.895 \| good	0.049 \| good
2025-09-17T23:00:00.000Z	62 \| moderate	15.475 \| fine	68.536 \| fine	23.424 \| good	0.534 \| good	9.405 \| good	0.048 \| good
2025-09-18T00:00:00.000Z	62 \| moderate	15.462 \| fine	68.507 \| fine	24.185 \| good	0.534 \| good	6.799 \| good	0.29 \| good
2025-09-18T01:00:00.000Z	62 \| moderate	15.461 \| fine	68.615 \| fine	24.582 \| good	0.534 \| good	4.206 \| good	0.207 \| good
2025-09-18T02:00:00.000Z	62 \| moderate	15.46 \| fine	68.608 \| fine	24.558 \| good	0.466 \| good	2.628 \| good	0.247 \| good
2025-09-18T03:00:00.000Z	64 \| moderate	15.969 \| fine	70.863 \| fine	24.55 \| good	0.467 \| good	2.658 \| good	0.247 \| good
2025-09-17T05:00:00.000Z	22 \| good	4.091 \| good	4.797 \| good	21.638 \| good	0.186 \| good	5.539 \| good	0.13 \| good
2025-09-17T06:00:00.000Z	20 \| good	3.376 \| good	4.593 \| good	22.26 \| good	0.188 \| good	5.671 \| good	0.135 \| good
2025-09-17T07:00:00.000Z	21 \| good	2.893 \| good	3.635 \| good	23.091 \| good	0.173 \| good	5.327 \| good	0.133 \| good
2025-09-17T08:00:00.000Z	22 \| good	2.458 \| good	2.854 \| good	23.88 \| good	0.17 \| good	4.723 \| good	0.127 \| good
2025-09-17T09:00:00.000Z	24 \| good	2.106 \| good	2.637 \| good	26.066 \| good	0.146 \| good	4.656 \| good	0.123 \| good
2025-09-17T10:00:00.000Z	25 \| good	2.601 \| good	3.098 \| good	26.935 \| good	0.193 \| good	5.051 \| good	0.125 \| good
2025-09-17T11:00:00.000Z	27 \| good	2.984 \| good	4.095 \| good	29.387 \| good	0.169 \| good	4.057 \| good	0.123 \| good
2025-09-17T12:00:00.000Z	28 \| good	2.607 \| good	4.321 \| good	29.619 \| good	0.14 \| good	2.372 \| good	0.12 \| good
2025-09-17T13:00:00.000Z	29 \| good	2.425 \| good	5.317 \| good	31.016 \| good	0.142 \| good	1.627 \| good	0.114 \| good
2025-09-17T14:00:00.000Z	30 \| good	3.105 \| good	7.175 \| good	31.609 \| good	0.137 \| good	1.611 \| good	0.109 \| good
2025-09-17T15:00:00.000Z	30 \| good	3.601 \| good	7.071 \| good	31.704 \| good	0.137 \| good	1.793 \| good	0.106 \| good
2025-09-17T16:00:00.000Z	30 \| good	3.565 \| good	6.585 \| good	32.313 \| good	0.159 \| good	2.536 \| good	0.107 \| good
2025-09-17T17:00:00.000Z	30 \| good	3.376 \| good	6.906 \| good	32.455 \| good	0.174 \| good	3.195 \| good	0.108 \| good
2025-09-17T18:00:00.000Z	31 \| good	3.659 \| good	6.687 \| good	32.978 \| good	0.229 \| good	3.788 \| good	0.109 \| good
2025-09-17T19:00:00.000Z	31 \| good	3.501 \| good	7.393 \| good	32.923 \| good	0.257 \| good	3.568 \| good	0.11 \| good
2025-09-17T20:00:00.000Z	31 \| good	3.893 \| good	8.106 \| good	33.409 \| good	0.246 \| good	3.164 \| good	0.109 \| good
2025-09-17T21:00:00.000Z	31 \| good	3.992 \| good	8.737 \| good	33.4 \| good	0.252 \| good	2.897 \| good	0.111 \| good
2025-09-17T22:00:00.000Z	30 \| good	4.027 \| good	8.968 \| good	32.383 \| good	0.244 \| good	2.77 \| good	0.112 \| good
2025-09-17T23:00:00.000Z	31 \| good	3.918 \| good	8.778 \| good	32.709 \| good	0.199 \| good	2.535 \| good	0.112 \| good
2025-09-18T00:00:00.000Z	31 \| good	3.861 \| good	8.551 \| good	33.59 \| good	0.166 \| good	2.195 \| good	0.112 \| good
2025-09-18T01:00:00.000Z	31 \| good	3.915 \| good	8.351 \| good	33.836 \| good	0.161 \| good	1.93 \| good	0.111 \| good
2025-09-18T02:00:00.000Z	30 \| good	3.935 \| good	7.997 \| good	32.075 \| good	0.153 \| good	1.858 \| good	0.111 \| good
2025-09-18T03:00:00.000Z	29 \| good	3.705 \| good	6.785 \| good	31.483 \| good	0.155 \| good	1.858 \| good	0.11 \| good
2025-09-18T04:00:00.000Z	26 \| good	3.474 \| good	6.01 \| good	28.271 \| good	0.129 \| good	1.764 \| good	0.11 \| good
2025-09-18T05:00:00.000Z	23 \| good	3.504 \| good	5.974 \| good	25.166 \| good	0.121 \| good	2.166 \| good	0.107 \| good
2025-09-18T06:00:00.000Z	20 \| good	3.283 \| good	6.844 \| good	22.276 \| good	0.156 \| good	3.656 \| good	0.106 \| good
2025-09-18T07:00:00.000Z	20 \| good	3.379 \| good	5.996 \| good	22.163 \| good	0.192 \| good	4.695 \| good	0.11 \| good
2025-09-18T08:00:00.000Z	23 \| good	3.423 \| good	6.238 \| good	24.827 \| good	0.173 \| good	4.049 \| good	0.107 \| good
2025-09-18T09:00:00.000Z	25 \| good	3.109 \| good	6.004 \| good	26.682 \| good	0.16 \| good	3.162 \| good	0.107 \| good
2025-09-18T10:00:00.000Z	27 \| good	2.879 \| good	5.615 \| good	28.593 \| good	0.147 \| good	2.498 \| good	0.104 \| good
2025-09-18T11:00:00.000Z	27 \| good	2.938 \| good	5.679 \| good	29.301 \| good	0.13 \| good	2.222 \| good	0.103 \| good
2025-09-18T12:00:00.000Z	27 \| good	2.99 \| good	5.494 \| good	29.22 \| good	0.112 \| good	1.97 \| good	0.102 \| good
2025-09-18T13:00:00.000Z	26 \| good	2.644 \| good	5.518 \| good	28.122 \| good	0.11 \| good	1.906 \| good	0.102 \| good
2025-09-18T14:00:00.000Z	26 \| good	2.576 \| good	5.182 \| good	27.51 \| good	0.11 \| good	2.034 \| good	0.103 \| good
2025-09-18T15:00:00.000Z	26 \| good	2.227 \| good	5.483 \| good	27.822 \| good	0.113 \| good	2.18 \| good	0.103 \| good
2025-09-18T16:00:00.000Z	24 \| good	2.172 \| good	5.768 \| good	26.405 \| good	0.117 \| good	2.575 \| good	0.103 \| good
2025-09-18T17:00:00.000Z	24 \| good	2.391 \| good	5.158 \| good	26.409 \| good	0.13 \| good	3.353 \| good	0.105 \| good
2025-09-18T18:00:00.000Z	23 \| good	2.495 \| good	5.188 \| good	24.974 \| good	0.154 \| good	3.85 \| good	0.105 \| good
2025-09-18T19:00:00.000Z	23 \| good	2.562 \| good	5.334 \| good	25.17 \| good	0.174 \| good	3.788 \| good	0.105 \| good
2025-09-18T20:00:00.000Z	25 \| good	2.595 \| good	5.431 \| good	26.833 \| good	0.174 \| good	3.039 \| good	0.102 \| good
2025-09-18T21:00:00.000Z	26 \| good	2.747 \| good	5.344 \| good	27.987 \| good	0.159 \| good	2.528 \| good	0.1 \| good
2025-09-18T22:00:00.000Z	25 \| good	2.777 \| good	5.161 \| good	26.923 \| good	0.139 \| good	2.473 \| good	0.099 \| good
2025-09-18T23:00:00.000Z	26 \| good	2.828 \| good	5.053 \| good	27.615 \| good	0.109 \| good	2.109 \| good	0.099 \| good
2025-09-19T00:00:00.000Z	24 \| good	3.053 \| good	5.204 \| good	25.776 \| good	0.096 \| good	1.862 \| good	0.099 \| good
2025-09-19T01:00:00.000Z	25 \| good	3.059 \| good	5.235 \| good	26.708 \| good	0.095 \| good	1.743 \| good	0.098 \| good
2025-09-19T02:00:00.000Z	24 \| good	2.791 \| good	5.068 \| good	26.408 \| good	0.084 \| good	1.712 \| good	0.1 \| good
2025-09-19T03:00:00.000Z	24 \| good	2.849 \| good	5.063 \| good	26.356 \| good	0.079 \| good	1.838 \| good	0.101 \| good
2025-09-19T04:00:00.000Z	25 \| good	2.798 \| good	5.182 \| good	26.935 \| good	0.088 \| good	2.137 \| good	0.102 \| good

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

Common air pollutants in Doncaster, South Yorkshire

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Doncaster, South Yorkshire air quality forecast and history

Empower business decisions with accurate air quality data

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

Air quality in nearby cities

Bentley, South Yorkshire

Scawthorpe, South Yorkshire

Warmsworth, South Yorkshire

Armthorpe, South Yorkshire

Kirk Sandall, South Yorkshire

New Rossington, 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 Doncaster, South Yorkshire updated?

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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