What is the current concentration of PM10 in Dinnington, South Yorkshire?

The current PM10 concentration at Dinnington, South Yorkshire is 10.467 μg/m3.

What is the current concentration of sulfur dioxide (SO2) in Dinnington, South Yorkshire?

The current sulfur dioxide (SO2) concentration at Dinnington, South Yorkshire is 0.442 ppb.

What is the current concentration of ozone (O3) in Dinnington, South Yorkshire?

The current ozone (O3) concentration at Dinnington, South Yorkshire is 21.391 ppm.

What is the current concentration of nitrogen dioxide (NO2) in Dinnington, South Yorkshire?

The current nitrogen dioxide (NO2) concentration at Dinnington, South Yorkshire is 6.696 ppb.

Dinnington, South Yorkshire live air quality index now

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

Stay updated with real-time air quality in Dinnington, 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

Dinnington, South Yorkshire

Last updated: ... (Local time)

Major air pollutants in Dinnington, South Yorkshire

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

2.06 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

3.73 μg/m³

155

255

425

605+

Ozone (O₃)

24.84 ppb

201

201+

Sulfur Dioxide (SO₂)

0.46 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

1.55 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.25 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Dinnington, South Yorkshire

Get Live Pollen Counts

Dinnington, South Yorkshire

Scroll To Air Quality Map

Track live Dinnington, South Yorkshire air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-09-16T04:00:00.000Z	27 \| good	4.25 \| good	9.823 \| good	28.976 \| good	0.573 \| good	1.186 \| good	0.268 \| good
2025-09-16T05:00:00.000Z	27 \| good	4.669 \| good	11.65 \| good	28.943 \| good	0.455 \| good	1.249 \| good	0.271 \| good
2025-09-16T06:00:00.000Z	27 \| good	4.624 \| good	9.712 \| good	28.156 \| good	0.382 \| good	1.837 \| good	0.084 \| good
2025-09-16T07:00:00.000Z	27 \| good	4.645 \| good	9.191 \| good	28.584 \| good	0.382 \| good	4.149 \| good	0.09 \| good
2025-09-16T08:00:00.000Z	33 \| good	5.507 \| good	10.601 \| good	27.762 \| good	0.382 \| good	7.318 \| good	0.082 \| good
2025-09-16T09:00:00.000Z	33 \| good	5.825 \| good	11.124 \| good	27.422 \| good	0.572 \| good	6.149 \| good	0.078 \| good
2025-09-16T10:00:00.000Z	33 \| good	5.851 \| good	10.371 \| good	27.931 \| good	0.569 \| good	4.998 \| good	0.092 \| good
2025-09-16T11:00:00.000Z	24 \| good	3.144 \| good	7.787 \| good	25.564 \| good	0.497 \| good	4.987 \| good	0.075 \| good
2025-09-16T12:00:00.000Z	24 \| good	3.225 \| good	8.05 \| good	25.816 \| good	0.574 \| good	4.404 \| good	0.069 \| good
2025-09-16T13:00:00.000Z	25 \| good	3.219 \| good	6.921 \| good	27.48 \| good	0.6 \| good	5.484 \| good	0.068 \| good
2025-09-16T14:00:00.000Z	26 \| good	3.182 \| good	9.766 \| good	27.66 \| good	0.382 \| good	4.321 \| good	0.069 \| good
2025-09-16T15:00:00.000Z	27 \| good	3.206 \| good	8.583 \| good	28.906 \| good	0.523 \| good	4.516 \| good	0.071 \| good
2025-09-16T16:00:00.000Z	26 \| good	3.202 \| good	8.646 \| good	27.919 \| good	0.455 \| good	6.249 \| good	0.067 \| good
2025-09-16T17:00:00.000Z	28 \| good	3.208 \| good	6.26 \| good	29.529 \| good	0.522 \| good	9.224 \| good	0.068 \| good
2025-09-16T18:00:00.000Z	28 \| good	3 \| good	7.589 \| good	29.76 \| good	0.521 \| good	8.882 \| good	0.074 \| good
2025-09-16T19:00:00.000Z	26 \| good	3.181 \| good	6.014 \| good	28.07 \| good	0.454 \| good	7.477 \| good	0.078 \| good
2025-09-16T20:00:00.000Z	27 \| good	3.274 \| good	11.4 \| good	29.152 \| good	0.521 \| good	10.435 \| good	0.077 \| good
2025-09-16T21:00:00.000Z	27 \| good	3.286 \| good	7.15 \| good	28.632 \| good	0.448 \| good	14.442 \| good	0.078 \| good
2025-09-16T22:00:00.000Z	22 \| good	4.096 \| good	6.63 \| good	21.653 \| good	0.382 \| good	21.514 \| good	0.064 \| good
2025-09-16T23:00:00.000Z	21 \| good	3.486 \| good	7.671 \| good	22.759 \| good	0.382 \| good	10.118 \| good	0.066 \| good
2025-09-17T00:00:00.000Z	19 \| good	3.474 \| good	6.845 \| good	21.32 \| good	0.502 \| good	4.932 \| good	0.176 \| good
2025-09-17T01:00:00.000Z	18 \| good	3.39 \| good	9.869 \| good	19.075 \| good	0.5 \| good	5.46 \| good	0.226 \| good
2025-09-17T02:00:00.000Z	22 \| good	3.584 \| good	12.558 \| good	17.154 \| good	0.457 \| good	1.961 \| good	0.247 \| good
2025-09-17T03:00:00.000Z	17 \| good	3.23 \| good	9.272 \| good	17.713 \| good	0.457 \| good	2.91 \| good	0.243 \| good
2025-09-17T04:00:00.000Z	22 \| good	4.074 \| good	10.772 \| good	15.669 \| good	0.382 \| good	2.779 \| good	0.242 \| good
2025-09-17T05:00:00.000Z	22 \| good	3.77 \| good	14.796 \| good	20.049 \| good	0.382 \| good	3.692 \| good	0.25 \| good
2025-09-17T06:00:00.000Z	22 \| good	3.802 \| good	11.723 \| good	20.86 \| good	0.435 \| good	6.433 \| good	0.064 \| good
2025-09-17T07:00:00.000Z	17 \| good	3.131 \| good	9.015 \| good	17.526 \| good	0.514 \| good	8.443 \| good	0.069 \| good
2025-09-17T08:00:00.000Z	22 \| good	4.271 \| good	10.467 \| good	21.391 \| good	0.442 \| good	6.696 \| good	0.065 \| good
2025-09-17T09:00:00.000Z	33 \| good	6.183 \| good	28.665 \| good	15.93 \| good	0.516 \| good	7.919 \| good	0.062 \| good
2025-09-17T10:00:00.000Z	38 \| good	6.659 \| good	17.934 \| good	15.273 \| good	0.633 \| good	14.253 \| good	0.06 \| good
2025-09-17T11:00:00.000Z	44 \| good	7.642 \| good	26.193 \| good	21.069 \| good	0.633 \| good	9.811 \| good	0.076 \| good
2025-09-17T12:00:00.000Z	44 \| good	7.68 \| good	23.456 \| good	21.907 \| good	0.646 \| good	11.656 \| good	0.061 \| good
2025-09-17T13:00:00.000Z	33 \| good	5.684 \| good	16.069 \| good	20.143 \| good	0.648 \| good	7.995 \| good	0.062 \| good
2025-09-17T14:00:00.000Z	22 \| good	3.728 \| good	6.328 \| good	18.992 \| good	0.72 \| good	6.858 \| good	0.059 \| good
2025-09-17T15:00:00.000Z	22 \| good	3.943 \| good	7.76 \| good	22.456 \| good	0.648 \| good	4.762 \| good	0.059 \| good
2025-09-17T16:00:00.000Z	19 \| good	2.93 \| good	5.345 \| good	21.276 \| good	0.562 \| good	6.944 \| good	0.061 \| good
2025-09-17T17:00:00.000Z	33 \| good	5.509 \| good	8.828 \| good	20.427 \| good	0.513 \| good	3.819 \| good	0.066 \| good
2025-09-17T18:00:00.000Z	33 \| good	5.58 \| good	6.101 \| good	24.865 \| good	0.439 \| good	4.835 \| good	0.065 \| good
2025-09-17T19:00:00.000Z	27 \| good	5.311 \| good	11.727 \| good	21.788 \| good	0.509 \| good	3.624 \| good	0.064 \| good
2025-09-17T20:00:00.000Z	33 \| good	5.606 \| good	8.115 \| good	26.493 \| good	0.439 \| good	4.501 \| good	0.067 \| good
2025-09-17T21:00:00.000Z	27 \| good	5.228 \| good	8.832 \| good	26.61 \| good	0.512 \| good	4.747 \| good	0.075 \| good
2025-09-17T22:00:00.000Z	24 \| good	0.7 \| good	3.573 \| good	25.572 \| good	0.512 \| good	4.574 \| good	0.047 \| good
2025-09-17T23:00:00.000Z	20 \| good	0.7 \| good	3.869 \| good	21.614 \| good	0.512 \| good	4.691 \| good	0.046 \| good
2025-09-18T00:00:00.000Z	23 \| good	0.7 \| good	3.727 \| good	25.144 \| good	0.511 \| good	3.189 \| good	0.29 \| good
2025-09-18T01:00:00.000Z	23 \| good	2.022 \| good	3.918 \| good	25.061 \| good	0.511 \| good	2.064 \| good	0.207 \| good
2025-09-18T02:00:00.000Z	23 \| good	2.055 \| good	3.726 \| good	24.837 \| good	0.455 \| good	1.549 \| good	0.247 \| good
2025-09-18T03:00:00.000Z	23 \| good	2.055 \| good	3.726 \| good	24.837 \| good	0.455 \| good	1.549 \| good	0.247 \| good
2025-09-17T10:00:00.000Z	25 \| good	2.702 \| good	3.47 \| good	26.902 \| good	0.137 \| good	4.918 \| good	0.124 \| good
2025-09-17T11:00:00.000Z	28 \| good	3.141 \| good	4.249 \| good	29.902 \| good	0.129 \| good	3.519 \| good	0.122 \| good
2025-09-17T12:00:00.000Z	28 \| good	2.891 \| good	4.621 \| good	29.977 \| good	0.106 \| good	2.408 \| good	0.117 \| good
2025-09-17T13:00:00.000Z	28 \| good	2.234 \| good	4.576 \| good	30.377 \| good	0.096 \| good	1.743 \| good	0.112 \| good
2025-09-17T14:00:00.000Z	29 \| good	3.007 \| good	6.717 \| good	31.07 \| good	0.102 \| good	1.487 \| good	0.107 \| good
2025-09-17T15:00:00.000Z	30 \| good	3.397 \| good	5.989 \| good	31.575 \| good	0.1 \| good	1.643 \| good	0.105 \| good
2025-09-17T16:00:00.000Z	30 \| good	3.389 \| good	5.676 \| good	32.406 \| good	0.106 \| good	2.16 \| good	0.105 \| good
2025-09-17T17:00:00.000Z	29 \| good	3.481 \| good	6.216 \| good	31.33 \| good	0.122 \| good	2.875 \| good	0.105 \| good
2025-09-17T18:00:00.000Z	29 \| good	3.458 \| good	6.333 \| good	31.465 \| good	0.147 \| good	3.106 \| good	0.107 \| good
2025-09-17T19:00:00.000Z	29 \| good	3.767 \| good	6.643 \| good	30.857 \| good	0.158 \| good	2.891 \| good	0.107 \| good
2025-09-17T20:00:00.000Z	29 \| good	4.125 \| good	7.373 \| good	31.376 \| good	0.151 \| good	2.61 \| good	0.107 \| good
2025-09-17T21:00:00.000Z	29 \| good	4.124 \| good	8.292 \| good	30.996 \| good	0.153 \| good	2.394 \| good	0.108 \| good
2025-09-17T22:00:00.000Z	29 \| good	4.066 \| good	8.322 \| good	31.113 \| good	0.145 \| good	2.301 \| good	0.109 \| good
2025-09-17T23:00:00.000Z	30 \| good	3.812 \| good	8.017 \| good	31.999 \| good	0.117 \| good	2.105 \| good	0.109 \| good
2025-09-18T00:00:00.000Z	30 \| good	3.874 \| good	7.675 \| good	32.329 \| good	0.108 \| good	1.88 \| good	0.109 \| good
2025-09-18T01:00:00.000Z	30 \| good	3.906 \| good	7.411 \| good	32.07 \| good	0.096 \| good	1.679 \| good	0.109 \| good
2025-09-18T02:00:00.000Z	28 \| good	3.532 \| good	6.782 \| good	29.911 \| good	0.103 \| good	1.691 \| good	0.109 \| good
2025-09-18T03:00:00.000Z	26 \| good	3.409 \| good	6.222 \| good	27.778 \| good	0.088 \| good	1.711 \| good	0.109 \| good
2025-09-18T04:00:00.000Z	23 \| good	3.674 \| good	5.512 \| good	25.403 \| good	0.065 \| good	1.702 \| good	0.106 \| good
2025-09-18T05:00:00.000Z	21 \| good	3.119 \| good	5.684 \| good	23.487 \| good	0.076 \| good	1.927 \| good	0.103 \| good
2025-09-18T06:00:00.000Z	22 \| good	3.565 \| good	5.771 \| good	22.707 \| good	0.098 \| good	2.778 \| good	0.104 \| good
2025-09-18T07:00:00.000Z	23 \| good	3.541 \| good	6.425 \| good	24.702 \| good	0.136 \| good	3.527 \| good	0.106 \| good
2025-09-18T08:00:00.000Z	23 \| good	3.28 \| good	5.892 \| good	25.329 \| good	0.134 \| good	3.227 \| good	0.104 \| good
2025-09-18T09:00:00.000Z	25 \| good	2.927 \| good	5.122 \| good	26.62 \| good	0.122 \| good	2.591 \| good	0.104 \| good
2025-09-18T10:00:00.000Z	26 \| good	2.789 \| good	5.007 \| good	28.368 \| good	0.106 \| good	2.206 \| good	0.105 \| good
2025-09-18T11:00:00.000Z	27 \| good	2.881 \| good	5.218 \| good	28.723 \| good	0.095 \| good	1.914 \| good	0.103 \| good
2025-09-18T12:00:00.000Z	27 \| good	2.837 \| good	5.481 \| good	29.313 \| good	0.085 \| good	1.779 \| good	0.102 \| good
2025-09-18T13:00:00.000Z	26 \| good	2.731 \| good	5.495 \| good	28.393 \| good	0.081 \| good	1.672 \| good	0.102 \| good
2025-09-18T14:00:00.000Z	26 \| good	2.691 \| good	5.261 \| good	27.523 \| good	0.077 \| good	1.685 \| good	0.103 \| good
2025-09-18T15:00:00.000Z	25 \| good	2.527 \| good	5.492 \| good	27.242 \| good	0.076 \| good	1.926 \| good	0.102 \| good
2025-09-18T16:00:00.000Z	26 \| good	2.283 \| good	5.472 \| good	28.182 \| good	0.078 \| good	2.368 \| good	0.102 \| good
2025-09-18T17:00:00.000Z	26 \| good	2.435 \| good	5.19 \| good	27.849 \| good	0.096 \| good	2.887 \| good	0.103 \| good
2025-09-18T18:00:00.000Z	24 \| good	2.35 \| good	5.172 \| good	26.199 \| good	0.126 \| good	3.323 \| good	0.105 \| good
2025-09-18T19:00:00.000Z	24 \| good	2.546 \| good	5.288 \| good	26.424 \| good	0.141 \| good	2.911 \| good	0.103 \| good
2025-09-18T20:00:00.000Z	25 \| good	2.675 \| good	5.238 \| good	27.3 \| good	0.134 \| good	2.459 \| good	0.102 \| good
2025-09-18T21:00:00.000Z	26 \| good	2.835 \| good	5.11 \| good	28.139 \| good	0.102 \| good	2.099 \| good	0.1 \| good
2025-09-18T22:00:00.000Z	26 \| good	2.665 \| good	4.781 \| good	28.105 \| good	0.097 \| good	1.907 \| good	0.098 \| good
2025-09-18T23:00:00.000Z	26 \| good	3.051 \| good	4.601 \| good	27.56 \| good	0.085 \| good	1.719 \| good	0.097 \| good
2025-09-19T00:00:00.000Z	24 \| good	3.073 \| good	4.651 \| good	25.635 \| good	0.087 \| good	1.646 \| good	0.098 \| good
2025-09-19T01:00:00.000Z	24 \| good	2.882 \| good	4.795 \| good	25.756 \| good	0.071 \| good	1.567 \| good	0.099 \| good
2025-09-19T02:00:00.000Z	23 \| good	2.756 \| good	4.958 \| good	25.486 \| good	0.053 \| good	1.567 \| good	0.1 \| good
2025-09-19T03:00:00.000Z	23 \| good	2.965 \| good	5.353 \| good	25.46 \| good	0.056 \| good	1.742 \| good	0.099 \| good
2025-09-19T04:00:00.000Z	24 \| good	3.203 \| good	5.76 \| good	25.869 \| good	0.077 \| good	1.843 \| good	0.098 \| good
2025-09-19T05:00:00.000Z	23 \| good	3.455 \| good	5.917 \| good	24.847 \| good	0.105 \| good	2.005 \| good	0.098 \| good
2025-09-19T06:00:00.000Z	22 \| good	3.618 \| good	6.036 \| good	23.432 \| good	0.147 \| good	2.813 \| good	0.1 \| good
2025-09-19T07:00:00.000Z	22 \| good	3.965 \| good	6.326 \| good	22.803 \| good	0.167 \| good	4.499 \| good	0.104 \| good
2025-09-19T08:00:00.000Z	22 \| good	4.077 \| good	6.38 \| good	22.658 \| good	0.194 \| good	5.149 \| good	0.107 \| good
2025-09-19T09:00:00.000Z	22 \| good	4.121 \| good	6.429 \| good	23.494 \| good	0.151 \| good	5.03 \| good	0.108 \| good

Dinnington

Get reliable air quality data to drive your business

Dinnington, South Yorkshire air quality map: Track AQI near you

0.07ppm

How accurate is South Yorkshire, UK air quality data?

Air quality data and pollutant measurements for South Yorkshire, UK adhere to strict US EPA standards. The data is collected from multiple reliable sources, including satellites and ground-based monitoring stations. This data is further analyzed and enhanced using machine learning and advanced algorithms that factor in elements such as traffic and population density, ensuring accurate and reliable results.

Source: Ambee Data Sources

Air quality levels in UK

Check live rankings of places in the UK affected by air pollution.

View Polluted Cities

Check live rankings of places in the UK with the cleanest air.

View Clean Cities

Frequently asked questions

How often is the air quality data for Dinnington, South Yorkshire updated?

The air quality for Dinnington, South Yorkshire is updated every hour.

When was the worst air quality at Dinnington, South Yorkshire in the last 24 hrs?

The worst air quality in Dinnington, South Yorkshire in the last 24 hours was observed at 10:00:00 on 2025-09-16.

When was the best air quality at Dinnington, South Yorkshire in the last 24 hrs?

In the last 24 hrs, the best air quality in Dinnington, South Yorkshire was observed at 07:00:00 on 2025-09-17.

What is the current air quality in Dinnington, South Yorkshire?

The current air quality in Dinnington, South Yorkshire is 22, categorized as Good based on real-time data.

What pollutant is the most common in Dinnington, South Yorkshire?

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

What should I do if the air quality in Dinnington, South Yorkshire is poor?

If the air quality in Dinnington, South Yorkshire is poor, consider staying indoors and wearing a mask to protect yourself.

What is the current concentration of PM_2.5 in Dinnington, South Yorkshire?

The current PM_2.5 concentration at Dinnington, South Yorkshire is 4.271 μg/m³.

What is the current concentration of PM₁₀ in Dinnington, South Yorkshire?

The current PM₁₀ concentration at Dinnington, South Yorkshire is 10.467 μg/m³.

What is the current concentration of carbon monoxide (CO) in Dinnington, South Yorkshire?

The current carbon monoxide (CO) concentration at Dinnington, South Yorkshire is 0.065 ppm.

What is the current concentration of sulfur dioxide (SO₂) in Dinnington, South Yorkshire?

The current sulfur dioxide (SO₂) concentration at Dinnington, South Yorkshire is 0.442 ppb.

What is the current concentration of ozone (O₃) in Dinnington, South Yorkshire?

The current ozone (O₃) concentration at Dinnington, South Yorkshire is 21.391 ppm.

What is the current concentration of nitrogen dioxide (NO₂) in Dinnington, South Yorkshire?

The current nitrogen dioxide (NO₂) concentration at Dinnington, South Yorkshire is 6.696 ppb.

Certified

APIs

Refund Policy

Historical Climate Data

Terms & Conditions

Refund Policy

Terms & Conditions

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-09-16T04:00:00.000Z	27 \| good	4.25 \| good	9.823 \| good	28.976 \| good	0.573 \| good	1.186 \| good	0.268 \| good
2025-09-16T05:00:00.000Z	27 \| good	4.669 \| good	11.65 \| good	28.943 \| good	0.455 \| good	1.249 \| good	0.271 \| good
2025-09-16T06:00:00.000Z	27 \| good	4.624 \| good	9.712 \| good	28.156 \| good	0.382 \| good	1.837 \| good	0.084 \| good
2025-09-16T07:00:00.000Z	27 \| good	4.645 \| good	9.191 \| good	28.584 \| good	0.382 \| good	4.149 \| good	0.09 \| good
2025-09-16T08:00:00.000Z	33 \| good	5.507 \| good	10.601 \| good	27.762 \| good	0.382 \| good	7.318 \| good	0.082 \| good
2025-09-16T09:00:00.000Z	33 \| good	5.825 \| good	11.124 \| good	27.422 \| good	0.572 \| good	6.149 \| good	0.078 \| good
2025-09-16T10:00:00.000Z	33 \| good	5.851 \| good	10.371 \| good	27.931 \| good	0.569 \| good	4.998 \| good	0.092 \| good
2025-09-16T11:00:00.000Z	24 \| good	3.144 \| good	7.787 \| good	25.564 \| good	0.497 \| good	4.987 \| good	0.075 \| good
2025-09-16T12:00:00.000Z	24 \| good	3.225 \| good	8.05 \| good	25.816 \| good	0.574 \| good	4.404 \| good	0.069 \| good
2025-09-16T13:00:00.000Z	25 \| good	3.219 \| good	6.921 \| good	27.48 \| good	0.6 \| good	5.484 \| good	0.068 \| good
2025-09-16T14:00:00.000Z	26 \| good	3.182 \| good	9.766 \| good	27.66 \| good	0.382 \| good	4.321 \| good	0.069 \| good
2025-09-16T15:00:00.000Z	27 \| good	3.206 \| good	8.583 \| good	28.906 \| good	0.523 \| good	4.516 \| good	0.071 \| good
2025-09-16T16:00:00.000Z	26 \| good	3.202 \| good	8.646 \| good	27.919 \| good	0.455 \| good	6.249 \| good	0.067 \| good
2025-09-16T17:00:00.000Z	28 \| good	3.208 \| good	6.26 \| good	29.529 \| good	0.522 \| good	9.224 \| good	0.068 \| good
2025-09-16T18:00:00.000Z	28 \| good	3 \| good	7.589 \| good	29.76 \| good	0.521 \| good	8.882 \| good	0.074 \| good
2025-09-16T19:00:00.000Z	26 \| good	3.181 \| good	6.014 \| good	28.07 \| good	0.454 \| good	7.477 \| good	0.078 \| good
2025-09-16T20:00:00.000Z	27 \| good	3.274 \| good	11.4 \| good	29.152 \| good	0.521 \| good	10.435 \| good	0.077 \| good
2025-09-16T21:00:00.000Z	27 \| good	3.286 \| good	7.15 \| good	28.632 \| good	0.448 \| good	14.442 \| good	0.078 \| good
2025-09-16T22:00:00.000Z	22 \| good	4.096 \| good	6.63 \| good	21.653 \| good	0.382 \| good	21.514 \| good	0.064 \| good
2025-09-16T23:00:00.000Z	21 \| good	3.486 \| good	7.671 \| good	22.759 \| good	0.382 \| good	10.118 \| good	0.066 \| good
2025-09-17T00:00:00.000Z	19 \| good	3.474 \| good	6.845 \| good	21.32 \| good	0.502 \| good	4.932 \| good	0.176 \| good
2025-09-17T01:00:00.000Z	18 \| good	3.39 \| good	9.869 \| good	19.075 \| good	0.5 \| good	5.46 \| good	0.226 \| good
2025-09-17T02:00:00.000Z	22 \| good	3.584 \| good	12.558 \| good	17.154 \| good	0.457 \| good	1.961 \| good	0.247 \| good
2025-09-17T03:00:00.000Z	17 \| good	3.23 \| good	9.272 \| good	17.713 \| good	0.457 \| good	2.91 \| good	0.243 \| good
2025-09-17T04:00:00.000Z	22 \| good	4.074 \| good	10.772 \| good	15.669 \| good	0.382 \| good	2.779 \| good	0.242 \| good
2025-09-17T05:00:00.000Z	22 \| good	3.77 \| good	14.796 \| good	20.049 \| good	0.382 \| good	3.692 \| good	0.25 \| good
2025-09-17T06:00:00.000Z	22 \| good	3.802 \| good	11.723 \| good	20.86 \| good	0.435 \| good	6.433 \| good	0.064 \| good
2025-09-17T07:00:00.000Z	17 \| good	3.131 \| good	9.015 \| good	17.526 \| good	0.514 \| good	8.443 \| good	0.069 \| good
2025-09-17T08:00:00.000Z	22 \| good	4.271 \| good	10.467 \| good	21.391 \| good	0.442 \| good	6.696 \| good	0.065 \| good
2025-09-17T09:00:00.000Z	33 \| good	6.183 \| good	28.665 \| good	15.93 \| good	0.516 \| good	7.919 \| good	0.062 \| good
2025-09-17T10:00:00.000Z	38 \| good	6.659 \| good	17.934 \| good	15.273 \| good	0.633 \| good	14.253 \| good	0.06 \| good
2025-09-17T11:00:00.000Z	44 \| good	7.642 \| good	26.193 \| good	21.069 \| good	0.633 \| good	9.811 \| good	0.076 \| good
2025-09-17T12:00:00.000Z	44 \| good	7.68 \| good	23.456 \| good	21.907 \| good	0.646 \| good	11.656 \| good	0.061 \| good
2025-09-17T13:00:00.000Z	33 \| good	5.684 \| good	16.069 \| good	20.143 \| good	0.648 \| good	7.995 \| good	0.062 \| good
2025-09-17T14:00:00.000Z	22 \| good	3.728 \| good	6.328 \| good	18.992 \| good	0.72 \| good	6.858 \| good	0.059 \| good
2025-09-17T15:00:00.000Z	22 \| good	3.943 \| good	7.76 \| good	22.456 \| good	0.648 \| good	4.762 \| good	0.059 \| good
2025-09-17T16:00:00.000Z	19 \| good	2.93 \| good	5.345 \| good	21.276 \| good	0.562 \| good	6.944 \| good	0.061 \| good
2025-09-17T17:00:00.000Z	33 \| good	5.509 \| good	8.828 \| good	20.427 \| good	0.513 \| good	3.819 \| good	0.066 \| good
2025-09-17T18:00:00.000Z	33 \| good	5.58 \| good	6.101 \| good	24.865 \| good	0.439 \| good	4.835 \| good	0.065 \| good
2025-09-17T19:00:00.000Z	27 \| good	5.311 \| good	11.727 \| good	21.788 \| good	0.509 \| good	3.624 \| good	0.064 \| good
2025-09-17T20:00:00.000Z	33 \| good	5.606 \| good	8.115 \| good	26.493 \| good	0.439 \| good	4.501 \| good	0.067 \| good
2025-09-17T21:00:00.000Z	27 \| good	5.228 \| good	8.832 \| good	26.61 \| good	0.512 \| good	4.747 \| good	0.075 \| good
2025-09-17T22:00:00.000Z	24 \| good	0.7 \| good	3.573 \| good	25.572 \| good	0.512 \| good	4.574 \| good	0.047 \| good
2025-09-17T23:00:00.000Z	20 \| good	0.7 \| good	3.869 \| good	21.614 \| good	0.512 \| good	4.691 \| good	0.046 \| good
2025-09-18T00:00:00.000Z	23 \| good	0.7 \| good	3.727 \| good	25.144 \| good	0.511 \| good	3.189 \| good	0.29 \| good
2025-09-18T01:00:00.000Z	23 \| good	2.022 \| good	3.918 \| good	25.061 \| good	0.511 \| good	2.064 \| good	0.207 \| good
2025-09-18T02:00:00.000Z	23 \| good	2.055 \| good	3.726 \| good	24.837 \| good	0.455 \| good	1.549 \| good	0.247 \| good
2025-09-18T03:00:00.000Z	23 \| good	2.055 \| good	3.726 \| good	24.837 \| good	0.455 \| good	1.549 \| good	0.247 \| good
2025-09-17T10:00:00.000Z	25 \| good	2.702 \| good	3.47 \| good	26.902 \| good	0.137 \| good	4.918 \| good	0.124 \| good
2025-09-17T11:00:00.000Z	28 \| good	3.141 \| good	4.249 \| good	29.902 \| good	0.129 \| good	3.519 \| good	0.122 \| good
2025-09-17T12:00:00.000Z	28 \| good	2.891 \| good	4.621 \| good	29.977 \| good	0.106 \| good	2.408 \| good	0.117 \| good
2025-09-17T13:00:00.000Z	28 \| good	2.234 \| good	4.576 \| good	30.377 \| good	0.096 \| good	1.743 \| good	0.112 \| good
2025-09-17T14:00:00.000Z	29 \| good	3.007 \| good	6.717 \| good	31.07 \| good	0.102 \| good	1.487 \| good	0.107 \| good
2025-09-17T15:00:00.000Z	30 \| good	3.397 \| good	5.989 \| good	31.575 \| good	0.1 \| good	1.643 \| good	0.105 \| good
2025-09-17T16:00:00.000Z	30 \| good	3.389 \| good	5.676 \| good	32.406 \| good	0.106 \| good	2.16 \| good	0.105 \| good
2025-09-17T17:00:00.000Z	29 \| good	3.481 \| good	6.216 \| good	31.33 \| good	0.122 \| good	2.875 \| good	0.105 \| good
2025-09-17T18:00:00.000Z	29 \| good	3.458 \| good	6.333 \| good	31.465 \| good	0.147 \| good	3.106 \| good	0.107 \| good
2025-09-17T19:00:00.000Z	29 \| good	3.767 \| good	6.643 \| good	30.857 \| good	0.158 \| good	2.891 \| good	0.107 \| good
2025-09-17T20:00:00.000Z	29 \| good	4.125 \| good	7.373 \| good	31.376 \| good	0.151 \| good	2.61 \| good	0.107 \| good
2025-09-17T21:00:00.000Z	29 \| good	4.124 \| good	8.292 \| good	30.996 \| good	0.153 \| good	2.394 \| good	0.108 \| good
2025-09-17T22:00:00.000Z	29 \| good	4.066 \| good	8.322 \| good	31.113 \| good	0.145 \| good	2.301 \| good	0.109 \| good
2025-09-17T23:00:00.000Z	30 \| good	3.812 \| good	8.017 \| good	31.999 \| good	0.117 \| good	2.105 \| good	0.109 \| good
2025-09-18T00:00:00.000Z	30 \| good	3.874 \| good	7.675 \| good	32.329 \| good	0.108 \| good	1.88 \| good	0.109 \| good
2025-09-18T01:00:00.000Z	30 \| good	3.906 \| good	7.411 \| good	32.07 \| good	0.096 \| good	1.679 \| good	0.109 \| good
2025-09-18T02:00:00.000Z	28 \| good	3.532 \| good	6.782 \| good	29.911 \| good	0.103 \| good	1.691 \| good	0.109 \| good
2025-09-18T03:00:00.000Z	26 \| good	3.409 \| good	6.222 \| good	27.778 \| good	0.088 \| good	1.711 \| good	0.109 \| good
2025-09-18T04:00:00.000Z	23 \| good	3.674 \| good	5.512 \| good	25.403 \| good	0.065 \| good	1.702 \| good	0.106 \| good
2025-09-18T05:00:00.000Z	21 \| good	3.119 \| good	5.684 \| good	23.487 \| good	0.076 \| good	1.927 \| good	0.103 \| good
2025-09-18T06:00:00.000Z	22 \| good	3.565 \| good	5.771 \| good	22.707 \| good	0.098 \| good	2.778 \| good	0.104 \| good
2025-09-18T07:00:00.000Z	23 \| good	3.541 \| good	6.425 \| good	24.702 \| good	0.136 \| good	3.527 \| good	0.106 \| good
2025-09-18T08:00:00.000Z	23 \| good	3.28 \| good	5.892 \| good	25.329 \| good	0.134 \| good	3.227 \| good	0.104 \| good
2025-09-18T09:00:00.000Z	25 \| good	2.927 \| good	5.122 \| good	26.62 \| good	0.122 \| good	2.591 \| good	0.104 \| good
2025-09-18T10:00:00.000Z	26 \| good	2.789 \| good	5.007 \| good	28.368 \| good	0.106 \| good	2.206 \| good	0.105 \| good
2025-09-18T11:00:00.000Z	27 \| good	2.881 \| good	5.218 \| good	28.723 \| good	0.095 \| good	1.914 \| good	0.103 \| good
2025-09-18T12:00:00.000Z	27 \| good	2.837 \| good	5.481 \| good	29.313 \| good	0.085 \| good	1.779 \| good	0.102 \| good
2025-09-18T13:00:00.000Z	26 \| good	2.731 \| good	5.495 \| good	28.393 \| good	0.081 \| good	1.672 \| good	0.102 \| good
2025-09-18T14:00:00.000Z	26 \| good	2.691 \| good	5.261 \| good	27.523 \| good	0.077 \| good	1.685 \| good	0.103 \| good
2025-09-18T15:00:00.000Z	25 \| good	2.527 \| good	5.492 \| good	27.242 \| good	0.076 \| good	1.926 \| good	0.102 \| good
2025-09-18T16:00:00.000Z	26 \| good	2.283 \| good	5.472 \| good	28.182 \| good	0.078 \| good	2.368 \| good	0.102 \| good
2025-09-18T17:00:00.000Z	26 \| good	2.435 \| good	5.19 \| good	27.849 \| good	0.096 \| good	2.887 \| good	0.103 \| good
2025-09-18T18:00:00.000Z	24 \| good	2.35 \| good	5.172 \| good	26.199 \| good	0.126 \| good	3.323 \| good	0.105 \| good
2025-09-18T19:00:00.000Z	24 \| good	2.546 \| good	5.288 \| good	26.424 \| good	0.141 \| good	2.911 \| good	0.103 \| good
2025-09-18T20:00:00.000Z	25 \| good	2.675 \| good	5.238 \| good	27.3 \| good	0.134 \| good	2.459 \| good	0.102 \| good
2025-09-18T21:00:00.000Z	26 \| good	2.835 \| good	5.11 \| good	28.139 \| good	0.102 \| good	2.099 \| good	0.1 \| good
2025-09-18T22:00:00.000Z	26 \| good	2.665 \| good	4.781 \| good	28.105 \| good	0.097 \| good	1.907 \| good	0.098 \| good
2025-09-18T23:00:00.000Z	26 \| good	3.051 \| good	4.601 \| good	27.56 \| good	0.085 \| good	1.719 \| good	0.097 \| good
2025-09-19T00:00:00.000Z	24 \| good	3.073 \| good	4.651 \| good	25.635 \| good	0.087 \| good	1.646 \| good	0.098 \| good
2025-09-19T01:00:00.000Z	24 \| good	2.882 \| good	4.795 \| good	25.756 \| good	0.071 \| good	1.567 \| good	0.099 \| good
2025-09-19T02:00:00.000Z	23 \| good	2.756 \| good	4.958 \| good	25.486 \| good	0.053 \| good	1.567 \| good	0.1 \| good
2025-09-19T03:00:00.000Z	23 \| good	2.965 \| good	5.353 \| good	25.46 \| good	0.056 \| good	1.742 \| good	0.099 \| good
2025-09-19T04:00:00.000Z	24 \| good	3.203 \| good	5.76 \| good	25.869 \| good	0.077 \| good	1.843 \| good	0.098 \| good
2025-09-19T05:00:00.000Z	23 \| good	3.455 \| good	5.917 \| good	24.847 \| good	0.105 \| good	2.005 \| good	0.098 \| good
2025-09-19T06:00:00.000Z	22 \| good	3.618 \| good	6.036 \| good	23.432 \| good	0.147 \| good	2.813 \| good	0.1 \| good
2025-09-19T07:00:00.000Z	22 \| good	3.965 \| good	6.326 \| good	22.803 \| good	0.167 \| good	4.499 \| good	0.104 \| good
2025-09-19T08:00:00.000Z	22 \| good	4.077 \| good	6.38 \| good	22.658 \| good	0.194 \| good	5.149 \| good	0.107 \| good
2025-09-19T09:00:00.000Z	22 \| good	4.121 \| good	6.429 \| good	23.494 \| good	0.151 \| good	5.03 \| good	0.108 \| good

Dinnington, South Yorkshire live air quality index now

Major air pollutants in Dinnington, South Yorkshire

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Dinnington, South Yorkshire air quality forecast and history

Get reliable air quality data to drive your business

Dinnington, South Yorkshire air quality map: Track AQI near you

Air quality in nearby cities

Maltby, South Yorkshire

Wickersley, South Yorkshire

Swallownest, South Yorkshire

Worksop, Nottinghamshire

Conisbrough, South Yorkshire

Rotherham, South Yorkshire

How accurate is South Yorkshire, UK air quality data?

Air quality levels in UK

Frequently asked questions

How often is the air quality data for Dinnington, South Yorkshire updated?

When was the worst air quality at Dinnington, South Yorkshire in the last 24 hrs?

When was the best air quality at Dinnington, South Yorkshire in the last 24 hrs?

What is the current air quality in Dinnington, South Yorkshire?

What pollutant is the most common in Dinnington, South Yorkshire?

What should I do if the air quality in Dinnington, South Yorkshire is poor?

What is the current concentration of PM2.5 in Dinnington, South Yorkshire?

What is the current concentration of PM10 in Dinnington, South Yorkshire?

What is the current concentration of carbon monoxide (CO) in Dinnington, South Yorkshire?

What is the current concentration of sulfur dioxide (SO2) in Dinnington, South Yorkshire?

What is the current concentration of ozone (O3) in Dinnington, South Yorkshire?

What is the current concentration of nitrogen dioxide (NO2) in Dinnington, South Yorkshire?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What is the current concentration of PM_2.5 in Dinnington, South Yorkshire?

What is the current concentration of PM₁₀ in Dinnington, South Yorkshire?

What is the current concentration of sulfur dioxide (SO₂) in Dinnington, South Yorkshire?

What is the current concentration of ozone (O₃) in Dinnington, South Yorkshire?

What is the current concentration of nitrogen dioxide (NO₂) in Dinnington, South Yorkshire?