What is the current concentration of PM10 in Swadlincote, Derbyshire?

The current PM10 concentration at Swadlincote, Derbyshire is 16.722 μg/m3.

What is the current concentration of sulfur dioxide (SO2) in Swadlincote, Derbyshire?

The current sulfur dioxide (SO2) concentration at Swadlincote, Derbyshire is 0.418 ppb.

What is the current concentration of ozone (O3) in Swadlincote, Derbyshire?

The current ozone (O3) concentration at Swadlincote, Derbyshire is 30.402 ppm.

What is the current concentration of nitrogen dioxide (NO2) in Swadlincote, Derbyshire?

The current nitrogen dioxide (NO2) concentration at Swadlincote, Derbyshire is 4.391 ppb.

Swadlincote, Derbyshire live air quality index now

Q: What is the current concentration of PM2.5 in Swadlincote, Derbyshire?

The current PM2.5 concentration at Swadlincote, Derbyshire is 5.603 μg/m3.

Stay updated with real-time air quality in Swadlincote, Derbyshire 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

Swadlincote, Derbyshire

Last updated: ... (Local time)

Major air pollutants in Swadlincote, Derbyshire

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

5.48 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

17.08 μg/m³

155

255

425

605+

Ozone (O₃)

29.86 ppb

201

201+

Sulfur Dioxide (SO₂)

0.42 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

4.40 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.13 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Swadlincote, Derbyshire

Get Live Pollen Counts

Swadlincote, Derbyshire

Scroll To Air Quality Map

Track live Swadlincote, Derbyshire air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-12-26T22:00:00.000Z	33 \| good	6.128 \| good	14.707 \| good	33.743 \| good	0.512 \| good	6.931 \| good	0.026 \| good
2025-12-26T23:00:00.000Z	33 \| good	6.128 \| good	14.741 \| good	32.832 \| good	0.389 \| good	8.167 \| good	0.026 \| good
2025-12-27T00:00:00.000Z	33 \| good	6.128 \| good	14.741 \| good	31.35 \| good	0.481 \| good	6.462 \| good	0.305 \| good
2025-12-27T01:00:00.000Z	33 \| good	6.128 \| good	14.741 \| good	31.026 \| good	0.393 \| good	5.679 \| good	0.578 \| good
2025-12-27T02:00:00.000Z	33 \| good	6.128 \| good	14.741 \| good	30.091 \| good	0.44 \| good	6.218 \| good	0.228 \| good
2025-12-27T03:00:00.000Z	33 \| good	6.128 \| good	14.707 \| good	29.134 \| good	0.453 \| good	5.913 \| good	0.241 \| good
2025-12-27T04:00:00.000Z	33 \| good	6.128 \| good	14.707 \| good	29.151 \| good	0.39 \| good	5.204 \| good	0.188 \| good
2025-12-27T05:00:00.000Z	33 \| good	6.128 \| good	13.953 \| good	28.036 \| good	0.399 \| good	4.962 \| good	0.169 \| good
2025-12-27T06:00:00.000Z	38 \| good	6.837 \| good	13.904 \| good	27.768 \| good	0.399 \| good	4.783 \| good	0.02 \| good
2025-12-27T07:00:00.000Z	38 \| good	6.837 \| good	13.904 \| good	27.915 \| good	0.393 \| good	4.812 \| good	0.029 \| good
2025-12-27T08:00:00.000Z	38 \| good	6.837 \| good	13.871 \| good	28.343 \| good	0.399 \| good	3.612 \| good	0.036 \| good
2025-12-27T09:00:00.000Z	38 \| good	6.788 \| good	13.777 \| good	29.187 \| good	0.397 \| good	4.57 \| good	0.028 \| good
2025-12-27T10:00:00.000Z	33 \| good	6.079 \| good	13.777 \| good	29.262 \| good	0.393 \| good	5.232 \| good	0.021 \| good
2025-12-27T11:00:00.000Z	33 \| good	6.034 \| good	13.777 \| good	29.037 \| good	0.399 \| good	6.704 \| good	0.026 \| good
2025-12-27T12:00:00.000Z	33 \| good	6.034 \| good	12.985 \| good	29.537 \| good	0.479 \| good	6.238 \| good	0.027 \| good
2025-12-27T13:00:00.000Z	33 \| good	6 \| good	12.94 \| good	30.118 \| good	0.512 \| good	6.436 \| good	0.026 \| good
2025-12-27T14:00:00.000Z	33 \| good	6 \| good	12.94 \| good	30.237 \| good	0.511 \| good	6.17 \| good	0.036 \| good
2025-12-27T15:00:00.000Z	33 \| good	6 \| good	12.812 \| good	30.048 \| good	0.559 \| good	7.157 \| good	0.039 \| good
2025-12-27T16:00:00.000Z	33 \| good	5.837 \| good	11.286 \| good	29.913 \| good	0.389 \| good	7.433 \| good	0.049 \| good
2025-12-27T17:00:00.000Z	33 \| good	5.788 \| good	11.252 \| good	29.472 \| good	0.388 \| good	7.781 \| good	0.074 \| good
2025-12-27T18:00:00.000Z	33 \| good	5.743 \| good	11.158 \| good	29.272 \| good	0.399 \| good	6.527 \| good	0.095 \| good
2025-12-27T19:00:00.000Z	33 \| good	5.709 \| good	10.416 \| good	29.211 \| good	0.481 \| good	6.962 \| good	0.141 \| good
2025-12-27T20:00:00.000Z	27 \| good	5 \| good	10.322 \| good	29.466 \| good	0.389 \| good	6.349 \| good	0.19 \| good
2025-12-27T21:00:00.000Z	28 \| good	4.951 \| good	10.322 \| good	30.099 \| good	0.398 \| good	4.953 \| good	0.142 \| good
2025-12-27T22:00:00.000Z	29 \| good	4.906 \| good	10.194 \| good	31.235 \| good	0.389 \| good	4.464 \| good	0.167 \| good
2025-12-27T23:00:00.000Z	29 \| good	4.872 \| good	9.451 \| good	31.247 \| good	0.386 \| good	4.11 \| good	0.126 \| good
2025-12-28T00:00:00.000Z	30 \| good	4.872 \| good	9.451 \| good	32.132 \| good	0.399 \| good	3.733 \| good	1.101 \| good
2025-12-28T01:00:00.000Z	31 \| good	4.872 \| good	9.357 \| good	33.638 \| good	0.608 \| good	3.554 \| good	1.079 \| good
2025-12-28T02:00:00.000Z	31 \| good	4.872 \| good	9.357 \| good	34.357 \| good	0.51 \| good	3.213 \| good	1.236 \| good
2025-12-28T03:00:00.000Z	33 \| good	4.872 \| good	10.112 \| good	35.783 \| good	0.393 \| good	2.12 \| good	0.638 \| good
2025-12-28T04:00:00.000Z	33 \| good	4.872 \| good	10.112 \| good	35.904 \| good	0.393 \| good	2.12 \| good	0.677 \| good
2025-12-28T05:00:00.000Z	33 \| good	4.872 \| good	10.112 \| good	35.935 \| good	0.39 \| good	2.12 \| good	0.432 \| good
2025-12-28T06:00:00.000Z	33 \| good	4.872 \| good	10.112 \| good	36.106 \| good	0.386 \| good	2.12 \| good	0.039 \| good
2025-12-28T07:00:00.000Z	33 \| good	4.872 \| good	10.112 \| good	36.215 \| good	0.386 \| good	2.12 \| good	0.05 \| good
2025-12-28T08:00:00.000Z	31 \| good	4.983 \| good	12.315 \| good	32.912 \| good	0.415 \| good	3.455 \| good	0.123 \| good
2025-12-28T09:00:00.000Z	31 \| good	4.888 \| good	13.007 \| good	33.158 \| good	0.49 \| good	3.986 \| good	0.125 \| good
2025-12-28T10:00:00.000Z	31 \| good	4.868 \| good	13.391 \| good	33.892 \| good	0.486 \| good	3.847 \| good	0.125 \| good
2025-12-28T11:00:00.000Z	32 \| good	4.629 \| good	13.349 \| good	34.827 \| good	0.368 \| good	3.295 \| good	0.123 \| good
2025-12-28T12:00:00.000Z	31 \| good	4.219 \| good	15.334 \| good	33.953 \| good	0.395 \| good	3.744 \| good	0.125 \| good
2025-12-28T13:00:00.000Z	34 \| good	3.272 \| good	10.942 \| good	37.325 \| good	0.311 \| good	3.062 \| good	0.121 \| good
2025-12-28T14:00:00.000Z	32 \| good	3.882 \| good	11.521 \| good	35.227 \| good	0.286 \| good	3.216 \| good	0.123 \| good
2025-12-28T15:00:00.000Z	31 \| good	4.804 \| good	11.561 \| good	33.455 \| good	0.291 \| good	3.431 \| good	0.124 \| good
2025-12-28T16:00:00.000Z	30 \| good	4.873 \| good	13.113 \| good	31.89 \| good	0.341 \| good	3.983 \| good	0.128 \| good
2025-12-28T17:00:00.000Z	30 \| good	5.065 \| good	15.903 \| good	31.89 \| good	0.416 \| good	4.449 \| good	0.129 \| good
2025-12-28T18:00:00.000Z	33 \| good	5.559 \| good	16.381 \| good	31.061 \| good	0.418 \| good	4.492 \| good	0.131 \| good
2025-12-28T19:00:00.000Z	33 \| good	5.603 \| good	16.722 \| good	30.402 \| good	0.418 \| good	4.391 \| good	0.132 \| good
2025-12-28T20:00:00.000Z	28 \| good	5.477 \| good	17.078 \| good	29.855 \| good	0.42 \| good	4.398 \| good	0.131 \| good
2025-12-28T21:00:00.000Z	28 \| good	5.477 \| good	17.078 \| good	29.855 \| good	0.42 \| good	4.398 \| good	0.131 \| good
2025-12-28T21:00:00.000Z	33 \| good	5.702 \| good	17.481 \| good	29.165 \| good	0.425 \| good	4.566 \| good	0.131 \| good
2025-12-28T22:00:00.000Z	33 \| good	5.978 \| good	18.115 \| good	28.157 \| good	0.432 \| good	4.761 \| good	0.132 \| good
2025-12-28T23:00:00.000Z	33 \| good	6.472 \| good	18.484 \| good	26.335 \| good	0.469 \| good	4.609 \| good	0.134 \| good
2025-12-29T00:00:00.000Z	38 \| good	7.173 \| good	18.006 \| good	24.846 \| good	0.511 \| good	4.291 \| good	0.139 \| good
2025-12-29T01:00:00.000Z	44 \| good	7.982 \| good	16.588 \| good	25.263 \| good	0.652 \| good	4.248 \| good	0.148 \| good
2025-12-29T02:00:00.000Z	49 \| good	8.709 \| good	16.775 \| good	24.467 \| good	0.798 \| good	4.346 \| good	0.152 \| good
2025-12-29T03:00:00.000Z	44 \| good	8.006 \| good	16.089 \| good	25.847 \| good	0.845 \| good	4.313 \| good	0.15 \| good
2025-12-29T04:00:00.000Z	33 \| good	6.116 \| good	15.111 \| good	28.66 \| good	0.644 \| good	3.627 \| good	0.138 \| good
2025-12-29T05:00:00.000Z	28 \| good	4.659 \| good	14.39 \| good	29.974 \| good	0.514 \| good	2.878 \| good	0.134 \| good
2025-12-29T06:00:00.000Z	29 \| good	4.378 \| good	14.513 \| good	31.049 \| good	0.467 \| good	3.037 \| good	0.133 \| good
2025-12-29T07:00:00.000Z	27 \| good	4.39 \| good	14.267 \| good	29.447 \| good	0.534 \| good	4.097 \| good	0.133 \| good
2025-12-29T08:00:00.000Z	27 \| good	4.906 \| good	13.784 \| good	28.567 \| good	0.645 \| good	5.835 \| good	0.138 \| good
2025-12-29T09:00:00.000Z	27 \| good	5.071 \| good	13.5 \| good	25.642 \| good	0.81 \| good	7.884 \| good	0.142 \| good
2025-12-29T10:00:00.000Z	27 \| good	4.668 \| good	11.818 \| good	25.519 \| good	0.869 \| good	8.674 \| good	0.144 \| good
2025-12-29T11:00:00.000Z	25 \| good	4.056 \| good	9.895 \| good	27.282 \| good	0.836 \| good	6.956 \| good	0.14 \| good
2025-12-29T12:00:00.000Z	28 \| good	3.638 \| good	9.329 \| good	29.836 \| good	0.685 \| good	5.551 \| good	0.136 \| good
2025-12-29T13:00:00.000Z	27 \| good	3.293 \| good	9.123 \| good	29.097 \| good	0.559 \| good	5.527 \| good	0.131 \| good
2025-12-29T14:00:00.000Z	28 \| good	3.453 \| good	9.076 \| good	29.625 \| good	0.466 \| good	5.205 \| good	0.128 \| good
2025-12-29T15:00:00.000Z	27 \| good	3.88 \| good	9.28 \| good	28.966 \| good	0.431 \| good	5.559 \| good	0.13 \| good
2025-12-29T16:00:00.000Z	27 \| good	4.616 \| good	10.134 \| good	25.962 \| good	0.55 \| good	6.644 \| good	0.132 \| good
2025-12-29T17:00:00.000Z	33 \| good	6.174 \| good	11.746 \| good	23.924 \| good	0.562 \| good	8.373 \| good	0.14 \| good
2025-12-29T18:00:00.000Z	38 \| good	7.392 \| good	13.802 \| good	22.772 \| good	0.548 \| good	9.529 \| good	0.147 \| good
2025-12-29T19:00:00.000Z	44 \| good	8.277 \| good	14.315 \| good	22.074 \| good	0.557 \| good	9.769 \| good	0.154 \| good
2025-12-29T20:00:00.000Z	49 \| good	8.663 \| good	13.73 \| good	21.31 \| good	0.574 \| good	9.525 \| good	0.152 \| good
2025-12-29T21:00:00.000Z	49 \| good	8.569 \| good	13.964 \| good	21.689 \| good	0.568 \| good	9.042 \| good	0.146 \| good
2025-12-29T22:00:00.000Z	44 \| good	7.684 \| good	12.844 \| good	21.665 \| good	0.57 \| good	7.672 \| good	0.143 \| good
2025-12-29T23:00:00.000Z	38 \| good	6.724 \| good	12.205 \| good	23.037 \| good	0.624 \| good	6.177 \| good	0.147 \| good
2025-12-30T00:00:00.000Z	38 \| good	6.558 \| good	11.324 \| good	25.329 \| good	0.671 \| good	5.354 \| good	0.143 \| good
2025-12-30T01:00:00.000Z	27 \| good	4.827 \| good	9.805 \| good	27.318 \| good	0.64 \| good	3.913 \| good	0.136 \| good
2025-12-30T02:00:00.000Z	27 \| good	4.162 \| good	9.568 \| good	29.069 \| good	0.556 \| good	2.975 \| good	0.132 \| good
2025-12-30T03:00:00.000Z	29 \| good	4.232 \| good	11.716 \| good	30.572 \| good	0.537 \| good	2.643 \| good	0.133 \| good
2025-12-30T04:00:00.000Z	30 \| good	4.488 \| good	11.833 \| good	32.418 \| good	0.589 \| good	2.682 \| good	0.136 \| good
2025-12-30T05:00:00.000Z	30 \| good	4.482 \| good	11.169 \| good	32.447 \| good	0.622 \| good	2.722 \| good	0.136 \| good
2025-12-30T06:00:00.000Z	30 \| good	3.997 \| good	10.152 \| good	31.826 \| good	0.615 \| good	2.908 \| good	0.135 \| good
2025-12-30T07:00:00.000Z	29 \| good	4.035 \| good	9.712 \| good	31.259 \| good	0.68 \| good	3.865 \| good	0.137 \| good
2025-12-30T08:00:00.000Z	28 \| good	4.576 \| good	10.667 \| good	29.737 \| good	0.788 \| good	5.708 \| good	0.142 \| good
2025-12-30T09:00:00.000Z	27 \| good	5.142 \| good	12.106 \| good	27.284 \| good	0.934 \| good	7.937 \| good	0.148 \| good
2025-12-30T10:00:00.000Z	33 \| good	5.75 \| good	11.04 \| good	27.616 \| good	1.011 \| good	8.293 \| good	0.157 \| good
2025-12-30T11:00:00.000Z	28 \| good	4.335 \| good	10.507 \| good	30.275 \| good	0.793 \| good	7.268 \| good	0.151 \| good
2025-12-30T12:00:00.000Z	31 \| good	3.522 \| good	9.239 \| good	33.416 \| good	0.652 \| good	5.519 \| good	0.142 \| good
2025-12-30T13:00:00.000Z	32 \| good	3.37 \| good	8.752 \| good	34.54 \| good	0.555 \| good	4.423 \| good	0.138 \| good
2025-12-30T14:00:00.000Z	30 \| good	4.096 \| good	8.998 \| good	32.231 \| good	0.566 \| good	5.481 \| good	0.142 \| good
2025-12-30T15:00:00.000Z	29 \| good	4.58 \| good	9.151 \| good	31.405 \| good	0.568 \| good	7.253 \| good	0.143 \| good
2025-12-30T16:00:00.000Z	27 \| good	5.072 \| good	10.877 \| good	27.137 \| good	0.661 \| good	9.461 \| good	0.15 \| good
2025-12-30T17:00:00.000Z	33 \| good	6.174 \| good	13.197 \| good	21.595 \| good	0.727 \| good	12.212 \| good	0.16 \| good
2025-12-30T18:00:00.000Z	44 \| good	7.781 \| good	15.763 \| good	18.886 \| good	0.795 \| good	14.929 \| good	0.172 \| good
2025-12-30T19:00:00.000Z	49 \| good	9.45 \| good	15.519 \| good	17.385 \| good	0.916 \| good	16.225 \| good	0.182 \| good
2025-12-30T20:00:00.000Z	54 \| moderate	10.878 \| good	15.281 \| good	17.843 \| good	1.042 \| good	15.198 \| good	0.192 \| good

Swadlincote

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Swadlincote, Derbyshire air quality map: Track AQI near you

0.13ppm

How accurate is Derbyshire, UK air quality data?

Air quality data and pollutant measurements for Derbyshire, 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

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Frequently asked questions

How often is the air quality data for Swadlincote, Derbyshire updated?

The air quality for Swadlincote, Derbyshire is updated every hour.

When was the worst air quality at Swadlincote, Derbyshire in the last 24 hrs?

The worst air quality in Swadlincote, Derbyshire in the last 24 hours was observed at 01:00:00 on 2025-12-28.

When was the best air quality at Swadlincote, Derbyshire in the last 24 hrs?

In the last 24 hrs, the best air quality in Swadlincote, Derbyshire was observed at 08:00:00 on 2025-12-27.

What is the current air quality in Swadlincote, Derbyshire?

The current air quality in Swadlincote, Derbyshire is 33, categorized as Good based on real-time data.

What pollutant is the most common in Swadlincote, Derbyshire?

The most common pollutant in Swadlincote, Derbyshire is PM2.5.

What should I do if the air quality in Swadlincote, Derbyshire is poor?

If the air quality in Swadlincote, Derbyshire is poor, consider staying indoors and wearing a mask to protect yourself.

What is the current concentration of PM_2.5 in Swadlincote, Derbyshire?

The current PM_2.5 concentration at Swadlincote, Derbyshire is 5.603 μg/m³.

What is the current concentration of PM₁₀ in Swadlincote, Derbyshire?

The current PM₁₀ concentration at Swadlincote, Derbyshire is 16.722 μg/m³.

What is the current concentration of carbon monoxide (CO) in Swadlincote, Derbyshire?

The current carbon monoxide (CO) concentration at Swadlincote, Derbyshire is 0.132 ppm.

What is the current concentration of sulfur dioxide (SO₂) in Swadlincote, Derbyshire?

The current sulfur dioxide (SO₂) concentration at Swadlincote, Derbyshire is 0.418 ppb.

What is the current concentration of ozone (O₃) in Swadlincote, Derbyshire?

The current ozone (O₃) concentration at Swadlincote, Derbyshire is 30.402 ppm.

What is the current concentration of nitrogen dioxide (NO₂) in Swadlincote, Derbyshire?

The current nitrogen dioxide (NO₂) concentration at Swadlincote, Derbyshire is 4.391 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-12-26T22:00:00.000Z	33 \| good	6.128 \| good	14.707 \| good	33.743 \| good	0.512 \| good	6.931 \| good	0.026 \| good
2025-12-26T23:00:00.000Z	33 \| good	6.128 \| good	14.741 \| good	32.832 \| good	0.389 \| good	8.167 \| good	0.026 \| good
2025-12-27T00:00:00.000Z	33 \| good	6.128 \| good	14.741 \| good	31.35 \| good	0.481 \| good	6.462 \| good	0.305 \| good
2025-12-27T01:00:00.000Z	33 \| good	6.128 \| good	14.741 \| good	31.026 \| good	0.393 \| good	5.679 \| good	0.578 \| good
2025-12-27T02:00:00.000Z	33 \| good	6.128 \| good	14.741 \| good	30.091 \| good	0.44 \| good	6.218 \| good	0.228 \| good
2025-12-27T03:00:00.000Z	33 \| good	6.128 \| good	14.707 \| good	29.134 \| good	0.453 \| good	5.913 \| good	0.241 \| good
2025-12-27T04:00:00.000Z	33 \| good	6.128 \| good	14.707 \| good	29.151 \| good	0.39 \| good	5.204 \| good	0.188 \| good
2025-12-27T05:00:00.000Z	33 \| good	6.128 \| good	13.953 \| good	28.036 \| good	0.399 \| good	4.962 \| good	0.169 \| good
2025-12-27T06:00:00.000Z	38 \| good	6.837 \| good	13.904 \| good	27.768 \| good	0.399 \| good	4.783 \| good	0.02 \| good
2025-12-27T07:00:00.000Z	38 \| good	6.837 \| good	13.904 \| good	27.915 \| good	0.393 \| good	4.812 \| good	0.029 \| good
2025-12-27T08:00:00.000Z	38 \| good	6.837 \| good	13.871 \| good	28.343 \| good	0.399 \| good	3.612 \| good	0.036 \| good
2025-12-27T09:00:00.000Z	38 \| good	6.788 \| good	13.777 \| good	29.187 \| good	0.397 \| good	4.57 \| good	0.028 \| good
2025-12-27T10:00:00.000Z	33 \| good	6.079 \| good	13.777 \| good	29.262 \| good	0.393 \| good	5.232 \| good	0.021 \| good
2025-12-27T11:00:00.000Z	33 \| good	6.034 \| good	13.777 \| good	29.037 \| good	0.399 \| good	6.704 \| good	0.026 \| good
2025-12-27T12:00:00.000Z	33 \| good	6.034 \| good	12.985 \| good	29.537 \| good	0.479 \| good	6.238 \| good	0.027 \| good
2025-12-27T13:00:00.000Z	33 \| good	6 \| good	12.94 \| good	30.118 \| good	0.512 \| good	6.436 \| good	0.026 \| good
2025-12-27T14:00:00.000Z	33 \| good	6 \| good	12.94 \| good	30.237 \| good	0.511 \| good	6.17 \| good	0.036 \| good
2025-12-27T15:00:00.000Z	33 \| good	6 \| good	12.812 \| good	30.048 \| good	0.559 \| good	7.157 \| good	0.039 \| good
2025-12-27T16:00:00.000Z	33 \| good	5.837 \| good	11.286 \| good	29.913 \| good	0.389 \| good	7.433 \| good	0.049 \| good
2025-12-27T17:00:00.000Z	33 \| good	5.788 \| good	11.252 \| good	29.472 \| good	0.388 \| good	7.781 \| good	0.074 \| good
2025-12-27T18:00:00.000Z	33 \| good	5.743 \| good	11.158 \| good	29.272 \| good	0.399 \| good	6.527 \| good	0.095 \| good
2025-12-27T19:00:00.000Z	33 \| good	5.709 \| good	10.416 \| good	29.211 \| good	0.481 \| good	6.962 \| good	0.141 \| good
2025-12-27T20:00:00.000Z	27 \| good	5 \| good	10.322 \| good	29.466 \| good	0.389 \| good	6.349 \| good	0.19 \| good
2025-12-27T21:00:00.000Z	28 \| good	4.951 \| good	10.322 \| good	30.099 \| good	0.398 \| good	4.953 \| good	0.142 \| good
2025-12-27T22:00:00.000Z	29 \| good	4.906 \| good	10.194 \| good	31.235 \| good	0.389 \| good	4.464 \| good	0.167 \| good
2025-12-27T23:00:00.000Z	29 \| good	4.872 \| good	9.451 \| good	31.247 \| good	0.386 \| good	4.11 \| good	0.126 \| good
2025-12-28T00:00:00.000Z	30 \| good	4.872 \| good	9.451 \| good	32.132 \| good	0.399 \| good	3.733 \| good	1.101 \| good
2025-12-28T01:00:00.000Z	31 \| good	4.872 \| good	9.357 \| good	33.638 \| good	0.608 \| good	3.554 \| good	1.079 \| good
2025-12-28T02:00:00.000Z	31 \| good	4.872 \| good	9.357 \| good	34.357 \| good	0.51 \| good	3.213 \| good	1.236 \| good
2025-12-28T03:00:00.000Z	33 \| good	4.872 \| good	10.112 \| good	35.783 \| good	0.393 \| good	2.12 \| good	0.638 \| good
2025-12-28T04:00:00.000Z	33 \| good	4.872 \| good	10.112 \| good	35.904 \| good	0.393 \| good	2.12 \| good	0.677 \| good
2025-12-28T05:00:00.000Z	33 \| good	4.872 \| good	10.112 \| good	35.935 \| good	0.39 \| good	2.12 \| good	0.432 \| good
2025-12-28T06:00:00.000Z	33 \| good	4.872 \| good	10.112 \| good	36.106 \| good	0.386 \| good	2.12 \| good	0.039 \| good
2025-12-28T07:00:00.000Z	33 \| good	4.872 \| good	10.112 \| good	36.215 \| good	0.386 \| good	2.12 \| good	0.05 \| good
2025-12-28T08:00:00.000Z	31 \| good	4.983 \| good	12.315 \| good	32.912 \| good	0.415 \| good	3.455 \| good	0.123 \| good
2025-12-28T09:00:00.000Z	31 \| good	4.888 \| good	13.007 \| good	33.158 \| good	0.49 \| good	3.986 \| good	0.125 \| good
2025-12-28T10:00:00.000Z	31 \| good	4.868 \| good	13.391 \| good	33.892 \| good	0.486 \| good	3.847 \| good	0.125 \| good
2025-12-28T11:00:00.000Z	32 \| good	4.629 \| good	13.349 \| good	34.827 \| good	0.368 \| good	3.295 \| good	0.123 \| good
2025-12-28T12:00:00.000Z	31 \| good	4.219 \| good	15.334 \| good	33.953 \| good	0.395 \| good	3.744 \| good	0.125 \| good
2025-12-28T13:00:00.000Z	34 \| good	3.272 \| good	10.942 \| good	37.325 \| good	0.311 \| good	3.062 \| good	0.121 \| good
2025-12-28T14:00:00.000Z	32 \| good	3.882 \| good	11.521 \| good	35.227 \| good	0.286 \| good	3.216 \| good	0.123 \| good
2025-12-28T15:00:00.000Z	31 \| good	4.804 \| good	11.561 \| good	33.455 \| good	0.291 \| good	3.431 \| good	0.124 \| good
2025-12-28T16:00:00.000Z	30 \| good	4.873 \| good	13.113 \| good	31.89 \| good	0.341 \| good	3.983 \| good	0.128 \| good
2025-12-28T17:00:00.000Z	30 \| good	5.065 \| good	15.903 \| good	31.89 \| good	0.416 \| good	4.449 \| good	0.129 \| good
2025-12-28T18:00:00.000Z	33 \| good	5.559 \| good	16.381 \| good	31.061 \| good	0.418 \| good	4.492 \| good	0.131 \| good
2025-12-28T19:00:00.000Z	33 \| good	5.603 \| good	16.722 \| good	30.402 \| good	0.418 \| good	4.391 \| good	0.132 \| good
2025-12-28T20:00:00.000Z	28 \| good	5.477 \| good	17.078 \| good	29.855 \| good	0.42 \| good	4.398 \| good	0.131 \| good
2025-12-28T21:00:00.000Z	28 \| good	5.477 \| good	17.078 \| good	29.855 \| good	0.42 \| good	4.398 \| good	0.131 \| good
2025-12-28T21:00:00.000Z	33 \| good	5.702 \| good	17.481 \| good	29.165 \| good	0.425 \| good	4.566 \| good	0.131 \| good
2025-12-28T22:00:00.000Z	33 \| good	5.978 \| good	18.115 \| good	28.157 \| good	0.432 \| good	4.761 \| good	0.132 \| good
2025-12-28T23:00:00.000Z	33 \| good	6.472 \| good	18.484 \| good	26.335 \| good	0.469 \| good	4.609 \| good	0.134 \| good
2025-12-29T00:00:00.000Z	38 \| good	7.173 \| good	18.006 \| good	24.846 \| good	0.511 \| good	4.291 \| good	0.139 \| good
2025-12-29T01:00:00.000Z	44 \| good	7.982 \| good	16.588 \| good	25.263 \| good	0.652 \| good	4.248 \| good	0.148 \| good
2025-12-29T02:00:00.000Z	49 \| good	8.709 \| good	16.775 \| good	24.467 \| good	0.798 \| good	4.346 \| good	0.152 \| good
2025-12-29T03:00:00.000Z	44 \| good	8.006 \| good	16.089 \| good	25.847 \| good	0.845 \| good	4.313 \| good	0.15 \| good
2025-12-29T04:00:00.000Z	33 \| good	6.116 \| good	15.111 \| good	28.66 \| good	0.644 \| good	3.627 \| good	0.138 \| good
2025-12-29T05:00:00.000Z	28 \| good	4.659 \| good	14.39 \| good	29.974 \| good	0.514 \| good	2.878 \| good	0.134 \| good
2025-12-29T06:00:00.000Z	29 \| good	4.378 \| good	14.513 \| good	31.049 \| good	0.467 \| good	3.037 \| good	0.133 \| good
2025-12-29T07:00:00.000Z	27 \| good	4.39 \| good	14.267 \| good	29.447 \| good	0.534 \| good	4.097 \| good	0.133 \| good
2025-12-29T08:00:00.000Z	27 \| good	4.906 \| good	13.784 \| good	28.567 \| good	0.645 \| good	5.835 \| good	0.138 \| good
2025-12-29T09:00:00.000Z	27 \| good	5.071 \| good	13.5 \| good	25.642 \| good	0.81 \| good	7.884 \| good	0.142 \| good
2025-12-29T10:00:00.000Z	27 \| good	4.668 \| good	11.818 \| good	25.519 \| good	0.869 \| good	8.674 \| good	0.144 \| good
2025-12-29T11:00:00.000Z	25 \| good	4.056 \| good	9.895 \| good	27.282 \| good	0.836 \| good	6.956 \| good	0.14 \| good
2025-12-29T12:00:00.000Z	28 \| good	3.638 \| good	9.329 \| good	29.836 \| good	0.685 \| good	5.551 \| good	0.136 \| good
2025-12-29T13:00:00.000Z	27 \| good	3.293 \| good	9.123 \| good	29.097 \| good	0.559 \| good	5.527 \| good	0.131 \| good
2025-12-29T14:00:00.000Z	28 \| good	3.453 \| good	9.076 \| good	29.625 \| good	0.466 \| good	5.205 \| good	0.128 \| good
2025-12-29T15:00:00.000Z	27 \| good	3.88 \| good	9.28 \| good	28.966 \| good	0.431 \| good	5.559 \| good	0.13 \| good
2025-12-29T16:00:00.000Z	27 \| good	4.616 \| good	10.134 \| good	25.962 \| good	0.55 \| good	6.644 \| good	0.132 \| good
2025-12-29T17:00:00.000Z	33 \| good	6.174 \| good	11.746 \| good	23.924 \| good	0.562 \| good	8.373 \| good	0.14 \| good
2025-12-29T18:00:00.000Z	38 \| good	7.392 \| good	13.802 \| good	22.772 \| good	0.548 \| good	9.529 \| good	0.147 \| good
2025-12-29T19:00:00.000Z	44 \| good	8.277 \| good	14.315 \| good	22.074 \| good	0.557 \| good	9.769 \| good	0.154 \| good
2025-12-29T20:00:00.000Z	49 \| good	8.663 \| good	13.73 \| good	21.31 \| good	0.574 \| good	9.525 \| good	0.152 \| good
2025-12-29T21:00:00.000Z	49 \| good	8.569 \| good	13.964 \| good	21.689 \| good	0.568 \| good	9.042 \| good	0.146 \| good
2025-12-29T22:00:00.000Z	44 \| good	7.684 \| good	12.844 \| good	21.665 \| good	0.57 \| good	7.672 \| good	0.143 \| good
2025-12-29T23:00:00.000Z	38 \| good	6.724 \| good	12.205 \| good	23.037 \| good	0.624 \| good	6.177 \| good	0.147 \| good
2025-12-30T00:00:00.000Z	38 \| good	6.558 \| good	11.324 \| good	25.329 \| good	0.671 \| good	5.354 \| good	0.143 \| good
2025-12-30T01:00:00.000Z	27 \| good	4.827 \| good	9.805 \| good	27.318 \| good	0.64 \| good	3.913 \| good	0.136 \| good
2025-12-30T02:00:00.000Z	27 \| good	4.162 \| good	9.568 \| good	29.069 \| good	0.556 \| good	2.975 \| good	0.132 \| good
2025-12-30T03:00:00.000Z	29 \| good	4.232 \| good	11.716 \| good	30.572 \| good	0.537 \| good	2.643 \| good	0.133 \| good
2025-12-30T04:00:00.000Z	30 \| good	4.488 \| good	11.833 \| good	32.418 \| good	0.589 \| good	2.682 \| good	0.136 \| good
2025-12-30T05:00:00.000Z	30 \| good	4.482 \| good	11.169 \| good	32.447 \| good	0.622 \| good	2.722 \| good	0.136 \| good
2025-12-30T06:00:00.000Z	30 \| good	3.997 \| good	10.152 \| good	31.826 \| good	0.615 \| good	2.908 \| good	0.135 \| good
2025-12-30T07:00:00.000Z	29 \| good	4.035 \| good	9.712 \| good	31.259 \| good	0.68 \| good	3.865 \| good	0.137 \| good
2025-12-30T08:00:00.000Z	28 \| good	4.576 \| good	10.667 \| good	29.737 \| good	0.788 \| good	5.708 \| good	0.142 \| good
2025-12-30T09:00:00.000Z	27 \| good	5.142 \| good	12.106 \| good	27.284 \| good	0.934 \| good	7.937 \| good	0.148 \| good
2025-12-30T10:00:00.000Z	33 \| good	5.75 \| good	11.04 \| good	27.616 \| good	1.011 \| good	8.293 \| good	0.157 \| good
2025-12-30T11:00:00.000Z	28 \| good	4.335 \| good	10.507 \| good	30.275 \| good	0.793 \| good	7.268 \| good	0.151 \| good
2025-12-30T12:00:00.000Z	31 \| good	3.522 \| good	9.239 \| good	33.416 \| good	0.652 \| good	5.519 \| good	0.142 \| good
2025-12-30T13:00:00.000Z	32 \| good	3.37 \| good	8.752 \| good	34.54 \| good	0.555 \| good	4.423 \| good	0.138 \| good
2025-12-30T14:00:00.000Z	30 \| good	4.096 \| good	8.998 \| good	32.231 \| good	0.566 \| good	5.481 \| good	0.142 \| good
2025-12-30T15:00:00.000Z	29 \| good	4.58 \| good	9.151 \| good	31.405 \| good	0.568 \| good	7.253 \| good	0.143 \| good
2025-12-30T16:00:00.000Z	27 \| good	5.072 \| good	10.877 \| good	27.137 \| good	0.661 \| good	9.461 \| good	0.15 \| good
2025-12-30T17:00:00.000Z	33 \| good	6.174 \| good	13.197 \| good	21.595 \| good	0.727 \| good	12.212 \| good	0.16 \| good
2025-12-30T18:00:00.000Z	44 \| good	7.781 \| good	15.763 \| good	18.886 \| good	0.795 \| good	14.929 \| good	0.172 \| good
2025-12-30T19:00:00.000Z	49 \| good	9.45 \| good	15.519 \| good	17.385 \| good	0.916 \| good	16.225 \| good	0.182 \| good
2025-12-30T20:00:00.000Z	54 \| moderate	10.878 \| good	15.281 \| good	17.843 \| good	1.042 \| good	15.198 \| good	0.192 \| good

Swadlincote, Derbyshire live air quality index now

Major air pollutants in Swadlincote, Derbyshire

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

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Swadlincote, Derbyshire air quality map: Track AQI near you

Air quality in nearby cities

AshbydelaZouch, Leicestershire

Burton Upon Trent, Staffordshire

Coalville, Leicestershire

Whitwick, Leicestershire

Shepshed, Leicestershire

Tamworth, Staffordshire

How accurate is Derbyshire, UK air quality data?

Air quality levels in UK

Frequently asked questions

How often is the air quality data for Swadlincote, Derbyshire updated?

When was the worst air quality at Swadlincote, Derbyshire in the last 24 hrs?

When was the best air quality at Swadlincote, Derbyshire in the last 24 hrs?

What is the current air quality in Swadlincote, Derbyshire?

What pollutant is the most common in Swadlincote, Derbyshire?

What should I do if the air quality in Swadlincote, Derbyshire is poor?

What is the current concentration of PM2.5 in Swadlincote, Derbyshire?

What is the current concentration of PM10 in Swadlincote, Derbyshire?

What is the current concentration of carbon monoxide (CO) in Swadlincote, Derbyshire?

What is the current concentration of sulfur dioxide (SO2) in Swadlincote, Derbyshire?

What is the current concentration of ozone (O3) in Swadlincote, Derbyshire?

What is the current concentration of nitrogen dioxide (NO2) in Swadlincote, Derbyshire?

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 Swadlincote, Derbyshire?

What is the current concentration of PM₁₀ in Swadlincote, Derbyshire?

What is the current concentration of sulfur dioxide (SO₂) in Swadlincote, Derbyshire?

What is the current concentration of ozone (O₃) in Swadlincote, Derbyshire?

What is the current concentration of nitrogen dioxide (NO₂) in Swadlincote, Derbyshire?