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

The current PM10 concentration at Somercotes, Derbyshire is 14.554 μg/m3.

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

The current sulfur dioxide (SO2) concentration at Somercotes, Derbyshire is 0.643 ppb.

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

The current ozone (O3) concentration at Somercotes, Derbyshire is 31.693 ppm.

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

The current nitrogen dioxide (NO2) concentration at Somercotes, Derbyshire is 12.755 ppb.

Somercotes, Derbyshire live air quality index now

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

The current PM2.5 concentration at Somercotes, Derbyshire is 4.372 μg/m3.

Stay updated with real-time air quality in Somercotes, 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

Somercotes, Derbyshire

Last updated: ... (Local time)

Major air pollutants in Somercotes, Derbyshire

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

4.37 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

14.55 μg/m³

155

255

425

605+

Ozone (O₃)

31.69 ppb

201

201+

Sulfur Dioxide (SO₂)

0.64 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

12.76 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.31 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Somercotes, Derbyshire

Get Live Pollen Counts

Somercotes, Derbyshire

Scroll To Air Quality Map

Track live Somercotes, Derbyshire air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-09-26T23:00:00.000Z	33 \| good	6.288 \| good	18.593 \| good	26.326 \| good	0.739 \| good	24.32 \| good	0.297 \| good
2026-09-27T00:00:00.000Z	38 \| good	6.639 \| good	20.284 \| good	24.279 \| good	0.514 \| good	24.631 \| good	0.226 \| good
2026-09-27T01:00:00.000Z	33 \| good	6.327 \| good	20.266 \| good	16.796 \| good	0.512 \| good	24.942 \| good	0.229 \| good
2026-09-27T02:00:00.000Z	33 \| good	6.168 \| good	23.771 \| good	13.324 \| good	0.382 \| good	17.26 \| good	0.212 \| good
2026-09-27T03:00:00.000Z	44 \| good	7.559 \| good	15.384 \| good	10.292 \| good	0.55 \| good	11.334 \| good	0.217 \| good
2026-09-27T04:00:00.000Z	38 \| good	7.343 \| good	14.532 \| good	11.101 \| good	0.447 \| good	13.179 \| good	0.205 \| good
2026-09-27T05:00:00.000Z	33 \| good	5.825 \| good	15.73 \| good	7.259 \| good	0.574 \| good	8.642 \| good	0.044 \| good
2026-09-27T06:00:00.000Z	33 \| good	6.284 \| good	18.107 \| good	13.335 \| good	0.382 \| good	10.72 \| good	0.042 \| good
2026-09-27T07:00:00.000Z	38 \| good	6.564 \| good	17.644 \| good	7.212 \| good	0.445 \| good	10.963 \| good	0.043 \| good
2026-09-27T08:00:00.000Z	38 \| good	6.757 \| good	23.871 \| good	9.492 \| good	0.447 \| good	13.202 \| good	0.045 \| good
2026-09-27T09:00:00.000Z	33 \| good	6.331 \| good	21.542 \| good	11.815 \| good	0.84 \| good	13.189 \| good	0.043 \| good
2026-09-27T10:00:00.000Z	38 \| good	7.332 \| good	16.333 \| good	9.431 \| good	0.937 \| good	10.361 \| good	0.052 \| good
2026-09-27T11:00:00.000Z	38 \| good	7.069 \| good	16.959 \| good	13.579 \| good	0.871 \| good	8.364 \| good	0.042 \| good
2026-09-27T12:00:00.000Z	33 \| good	6.492 \| good	22.749 \| good	15.261 \| good	0.665 \| good	7.901 \| good	0.04 \| good
2026-09-27T13:00:00.000Z	44 \| good	8.345 \| good	19.394 \| good	18.021 \| good	1.21 \| good	7.295 \| good	0.038 \| good
2026-09-27T14:00:00.000Z	44 \| good	7.661 \| good	19.342 \| good	21.206 \| good	1.141 \| good	5.796 \| good	0.038 \| good
2026-09-27T15:00:00.000Z	38 \| good	7.483 \| good	17.847 \| good	24.609 \| good	1.146 \| good	4.328 \| good	0.041 \| good
2026-09-27T16:00:00.000Z	44 \| good	8.448 \| good	22.589 \| good	25.536 \| good	1.043 \| good	7.549 \| good	0.04 \| good
2026-09-27T17:00:00.000Z	44 \| good	8.461 \| good	22.941 \| good	29.207 \| good	0.943 \| good	6.864 \| good	0.04 \| good
2026-09-27T18:00:00.000Z	44 \| good	7.905 \| good	24.517 \| good	31.86 \| good	0.941 \| good	5.479 \| good	0.048 \| good
2026-09-27T19:00:00.000Z	38 \| good	7.411 \| good	22.93 \| good	31.367 \| good	0.934 \| good	4.798 \| good	0.056 \| good
2026-09-27T20:00:00.000Z	44 \| good	7.645 \| good	24.82 \| good	32.523 \| good	0.547 \| good	8.135 \| good	0.063 \| good
2026-09-27T21:00:00.000Z	44 \| good	7.657 \| good	20.831 \| good	32.237 \| good	0.888 \| good	6.451 \| good	0.078 \| good
2026-09-27T22:00:00.000Z	38 \| good	7.061 \| good	21.553 \| good	33.575 \| good	0.964 \| good	9.95 \| good	0.065 \| good
2026-09-27T23:00:00.000Z	38 \| good	6.887 \| good	23.117 \| good	30.529 \| good	0.881 \| good	11.159 \| good	0.071 \| good
2026-09-28T00:00:00.000Z	38 \| good	6.941 \| good	19.053 \| good	25.923 \| good	0.382 \| good	3.482 \| good	0.255 \| good
2026-09-28T01:00:00.000Z	38 \| good	7.12 \| good	22.02 \| good	23.041 \| good	0.458 \| good	7.502 \| good	0.18 \| good
2026-09-28T02:00:00.000Z	38 \| good	6.55 \| good	16.883 \| good	22.646 \| good	0.382 \| good	5.129 \| good	0.226 \| good
2026-09-28T03:00:00.000Z	33 \| good	6.373 \| good	19.48 \| good	22.699 \| good	0.483 \| good	4.362 \| good	0.214 \| good
2026-09-28T04:00:00.000Z	33 \| good	6 \| good	18.584 \| good	16.66 \| good	0.483 \| good	4.316 \| good	0.218 \| good
2026-09-28T05:00:00.000Z	33 \| good	6 \| good	14.881 \| good	18.204 \| good	0.484 \| good	5.491 \| good	0.197 \| good
2026-09-28T06:00:00.000Z	33 \| good	5.531 \| good	16.968 \| good	15.627 \| good	0.501 \| good	5.542 \| good	0.21 \| good
2026-09-28T07:00:00.000Z	33 \| good	5.714 \| good	14.043 \| good	13.437 \| good	0.669 \| good	8.349 \| good	0.279 \| good
2026-09-28T08:00:00.000Z	27 \| good	5.347 \| good	15.686 \| good	9.308 \| good	0.833 \| good	14.155 \| good	0.264 \| good
2026-09-28T09:00:00.000Z	27 \| good	4.771 \| good	21.548 \| good	5.364 \| good	0.944 \| good	10.049 \| good	0.235 \| good
2026-09-28T10:00:00.000Z	27 \| good	5.488 \| good	14.22 \| good	7.274 \| good	1.068 \| good	18.284 \| good	0.221 \| good
2026-09-28T11:00:00.000Z	27 \| good	4.741 \| good	10.653 \| good	5.219 \| good	0.92 \| good	17.266 \| good	0.212 \| good
2026-09-28T12:00:00.000Z	33 \| good	5.801 \| good	11.747 \| good	7.602 \| good	0.915 \| good	11.471 \| good	0.188 \| good
2026-09-28T13:00:00.000Z	27 \| good	5.007 \| good	11.963 \| good	12.269 \| good	0.656 \| good	7.956 \| good	0.165 \| good
2026-09-28T14:00:00.000Z	27 \| good	5.283 \| good	13.592 \| good	13.15 \| good	0.594 \| good	7.38 \| good	0.162 \| good
2026-09-28T15:00:00.000Z	27 \| good	4.834 \| good	12.466 \| good	15.852 \| good	0.539 \| good	8.304 \| good	0.156 \| good
2026-09-28T16:00:00.000Z	27 \| good	5.003 \| good	12.048 \| good	20.302 \| good	0.603 \| good	9.284 \| good	0.153 \| good
2026-09-28T17:00:00.000Z	22 \| good	4.217 \| good	11.497 \| good	21.075 \| good	0.513 \| good	7.023 \| good	0.169 \| good
2026-09-28T18:00:00.000Z	25 \| good	4.316 \| good	8.857 \| good	27.317 \| good	0.543 \| good	6.918 \| good	0.217 \| good
2026-09-28T19:00:00.000Z	29 \| good	4.35 \| good	10.403 \| good	31.299 \| good	0.477 \| good	8.177 \| good	0.253 \| good
2026-09-28T20:00:00.000Z	29 \| good	4.23 \| good	13.583 \| good	30.724 \| good	0.533 \| good	14.767 \| good	0.324 \| good
2026-09-28T21:00:00.000Z	30 \| good	4.372 \| good	14.554 \| good	31.693 \| good	0.643 \| good	12.755 \| good	0.312 \| good
2026-09-28T22:00:00.000Z	28 \| good	5.242 \| good	11.652 \| good	30.075 \| good	0.437 \| good	7.879 \| good	0.352 \| good
2026-09-28T22:00:00.000Z	30 \| good	4.372 \| good	14.554 \| good	31.693 \| good	0.643 \| good	12.755 \| good	0.312 \| good
2026-09-28T23:00:00.000Z	38 \| good	6.502 \| good	12.098 \| good	22.108 \| good	0.294 \| good	5.101 \| good	0.158 \| good
2026-09-29T00:00:00.000Z	27 \| good	5.385 \| good	10.399 \| good	22.86 \| good	0.214 \| good	4.032 \| good	0.15 \| good
2026-09-29T01:00:00.000Z	22 \| good	4.374 \| good	8.362 \| good	23.517 \| good	0.173 \| good	3.04 \| good	0.143 \| good
2026-09-29T02:00:00.000Z	22 \| good	3.723 \| good	6.973 \| good	23.73 \| good	0.154 \| good	2.552 \| good	0.139 \| good
2026-09-29T03:00:00.000Z	21 \| good	3.175 \| good	6.538 \| good	23.283 \| good	0.145 \| good	2.45 \| good	0.137 \| good
2026-09-29T04:00:00.000Z	22 \| good	3.56 \| good	6.597 \| good	23.352 \| good	0.144 \| good	2.451 \| good	0.136 \| good
2026-09-29T05:00:00.000Z	22 \| good	3.693 \| good	6.8 \| good	23.189 \| good	0.152 \| good	2.701 \| good	0.135 \| good
2026-09-29T06:00:00.000Z	22 \| good	3.77 \| good	7.018 \| good	23.235 \| good	0.167 \| good	3.51 \| good	0.135 \| good
2026-09-29T07:00:00.000Z	22 \| good	4.078 \| good	7.379 \| good	23.097 \| good	0.214 \| good	4.929 \| good	0.136 \| good
2026-09-29T08:00:00.000Z	23 \| good	4.11 \| good	7.378 \| good	25.439 \| good	0.215 \| good	5.257 \| good	0.135 \| good
2026-09-29T09:00:00.000Z	26 \| good	3.965 \| good	7.128 \| good	27.529 \| good	0.172 \| good	4.559 \| good	0.131 \| good
2026-09-29T10:00:00.000Z	26 \| good	3.923 \| good	6.707 \| good	28.159 \| good	0.18 \| good	3.826 \| good	0.13 \| good
2026-09-29T11:00:00.000Z	26 \| good	3.733 \| good	6.416 \| good	27.761 \| good	0.173 \| good	3.39 \| good	0.129 \| good
2026-09-29T12:00:00.000Z	27 \| good	3.803 \| good	6.089 \| good	28.931 \| good	0.173 \| good	3.051 \| good	0.131 \| good
2026-09-29T13:00:00.000Z	31 \| good	4.134 \| good	7.046 \| good	33.093 \| good	0.217 \| good	2.848 \| good	0.133 \| good
2026-09-29T14:00:00.000Z	32 \| good	4.927 \| good	7.634 \| good	34.677 \| good	0.226 \| good	2.852 \| good	0.135 \| good
2026-09-29T15:00:00.000Z	34 \| good	5.799 \| good	9.631 \| good	37.116 \| good	0.235 \| good	2.874 \| good	0.137 \| good
2026-09-29T16:00:00.000Z	38 \| good	6.638 \| good	10.927 \| good	38.922 \| good	0.241 \| good	3.227 \| good	0.143 \| good
2026-09-29T17:00:00.000Z	44 \| good	7.784 \| good	11.883 \| good	40.02 \| good	0.306 \| good	4.16 \| good	0.151 \| good
2026-09-29T18:00:00.000Z	44 \| good	7.785 \| good	12.568 \| good	38.686 \| good	0.367 \| good	5.572 \| good	0.155 \| good
2026-09-29T19:00:00.000Z	49 \| good	8.663 \| good	13.047 \| good	35.722 \| good	0.412 \| good	5.811 \| good	0.156 \| good
2026-09-29T20:00:00.000Z	52 \| moderate	9.994 \| good	14.44 \| good	34.126 \| good	0.41 \| good	5.795 \| good	0.158 \| good
2026-09-29T21:00:00.000Z	64 \| moderate	16.217 \| fine	18.101 \| good	32.385 \| good	0.418 \| good	5.931 \| good	0.159 \| good
2026-09-29T22:00:00.000Z	64 \| moderate	16.3 \| fine	18.967 \| good	30.929 \| good	0.429 \| good	5.639 \| good	0.16 \| good
2026-09-29T23:00:00.000Z	66 \| moderate	16.88 \| fine	21.539 \| good	30.895 \| good	0.439 \| good	5.491 \| good	0.166 \| good
2026-09-30T00:00:00.000Z	64 \| moderate	15.991 \| fine	22.76 \| good	32.8 \| good	0.377 \| good	5.062 \| good	0.162 \| good
2026-09-30T01:00:00.000Z	60 \| moderate	13.617 \| fine	20.274 \| good	32.148 \| good	0.329 \| good	4.546 \| good	0.152 \| good
2026-09-30T02:00:00.000Z	52 \| moderate	10.469 \| good	15.866 \| good	30.329 \| good	0.284 \| good	3.931 \| good	0.141 \| good
2026-09-30T03:00:00.000Z	44 \| good	8.079 \| good	11.124 \| good	30.337 \| good	0.257 \| good	3.517 \| good	0.14 \| good
2026-09-30T04:00:00.000Z	33 \| good	6.203 \| good	10.167 \| good	31.314 \| good	0.234 \| good	3.251 \| good	0.134 \| good
2026-09-30T05:00:00.000Z	33 \| good	5.515 \| good	9.273 \| good	31.316 \| good	0.224 \| good	3.333 \| good	0.129 \| good
2026-09-30T06:00:00.000Z	33 \| good	5.653 \| good	9.782 \| good	31.537 \| good	0.218 \| good	3.74 \| good	0.128 \| good
2026-09-30T07:00:00.000Z	33 \| good	5.506 \| good	8.339 \| good	29.569 \| good	0.229 \| good	4.593 \| good	0.134 \| good
2026-09-30T08:00:00.000Z	33 \| good	5.868 \| good	8.267 \| good	28.526 \| good	0.188 \| good	5.01 \| good	0.13 \| good
2026-09-30T09:00:00.000Z	27 \| good	5.499 \| good	7.069 \| good	28.238 \| good	0.151 \| good	4.791 \| good	0.122 \| good
2026-09-30T10:00:00.000Z	27 \| good	4.697 \| good	6.026 \| good	29.231 \| good	0.138 \| good	3.83 \| good	0.118 \| good
2026-09-30T11:00:00.000Z	28 \| good	4.62 \| good	6.428 \| good	30.363 \| good	0.147 \| good	2.663 \| good	0.113 \| good
2026-09-30T12:00:00.000Z	31 \| good	4.037 \| good	7.169 \| good	33.547 \| good	0.131 \| good	1.86 \| good	0.114 \| good
2026-09-30T13:00:00.000Z	33 \| good	4.015 \| good	7.679 \| good	36.205 \| good	0.122 \| good	1.488 \| good	0.114 \| good
2026-09-30T14:00:00.000Z	35 \| good	4.201 \| good	8.283 \| good	37.655 \| good	0.122 \| good	1.594 \| good	0.117 \| good
2026-09-30T15:00:00.000Z	34 \| good	4.433 \| good	9.313 \| good	36.993 \| good	0.129 \| good	2.016 \| good	0.119 \| good
2026-09-30T16:00:00.000Z	34 \| good	4.595 \| good	10.659 \| good	36.707 \| good	0.139 \| good	2.542 \| good	0.123 \| good
2026-09-30T17:00:00.000Z	31 \| good	5.057 \| good	11.039 \| good	33.451 \| good	0.211 \| good	3.927 \| good	0.13 \| good
2026-09-30T18:00:00.000Z	29 \| good	5.479 \| good	11.214 \| good	31.178 \| good	0.243 \| good	5.316 \| good	0.137 \| good
2026-09-30T19:00:00.000Z	33 \| good	6.368 \| good	11.421 \| good	27.411 \| good	0.301 \| good	6.766 \| good	0.14 \| good
2026-09-30T20:00:00.000Z	33 \| good	6.224 \| good	12.763 \| good	25.19 \| good	0.349 \| good	7.242 \| good	0.138 \| good
2026-09-30T21:00:00.000Z	33 \| good	6.02 \| good	13.458 \| good	22.818 \| good	0.37 \| good	7.756 \| good	0.14 \| good
2026-09-30T22:00:00.000Z	38 \| good	6.728 \| good	13.574 \| good	21.973 \| good	0.365 \| good	8.234 \| good	0.14 \| good

Somercotes

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Somercotes, Derbyshire air quality map: Track AQI near you

0.31ppm

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 Somercotes, Derbyshire updated?

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

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

The worst air quality in Somercotes, Derbyshire in the last 24 hours was observed at 02:00:00 on 2026-09-28.

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

In the last 24 hrs, the best air quality in Somercotes, Derbyshire was observed at 05:00:00 on 2026-09-28.

What is the current air quality in Somercotes, Derbyshire?

The current air quality in Somercotes, Derbyshire is 30, categorized as Good based on real-time data.

What pollutant is the most common in Somercotes, Derbyshire?

The most common pollutant in Somercotes, Derbyshire is O3.

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

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

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

The current PM_2.5 concentration at Somercotes, Derbyshire is 4.372 μg/m³.

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

The current PM₁₀ concentration at Somercotes, Derbyshire is 14.554 μg/m³.

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

The current carbon monoxide (CO) concentration at Somercotes, Derbyshire is 0.312 ppm.

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

The current sulfur dioxide (SO₂) concentration at Somercotes, Derbyshire is 0.643 ppb.

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

The current ozone (O₃) concentration at Somercotes, Derbyshire is 31.693 ppm.

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

The current nitrogen dioxide (NO₂) concentration at Somercotes, Derbyshire is 12.755 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-09-26T23:00:00.000Z	33 \| good	6.288 \| good	18.593 \| good	26.326 \| good	0.739 \| good	24.32 \| good	0.297 \| good
2026-09-27T00:00:00.000Z	38 \| good	6.639 \| good	20.284 \| good	24.279 \| good	0.514 \| good	24.631 \| good	0.226 \| good
2026-09-27T01:00:00.000Z	33 \| good	6.327 \| good	20.266 \| good	16.796 \| good	0.512 \| good	24.942 \| good	0.229 \| good
2026-09-27T02:00:00.000Z	33 \| good	6.168 \| good	23.771 \| good	13.324 \| good	0.382 \| good	17.26 \| good	0.212 \| good
2026-09-27T03:00:00.000Z	44 \| good	7.559 \| good	15.384 \| good	10.292 \| good	0.55 \| good	11.334 \| good	0.217 \| good
2026-09-27T04:00:00.000Z	38 \| good	7.343 \| good	14.532 \| good	11.101 \| good	0.447 \| good	13.179 \| good	0.205 \| good
2026-09-27T05:00:00.000Z	33 \| good	5.825 \| good	15.73 \| good	7.259 \| good	0.574 \| good	8.642 \| good	0.044 \| good
2026-09-27T06:00:00.000Z	33 \| good	6.284 \| good	18.107 \| good	13.335 \| good	0.382 \| good	10.72 \| good	0.042 \| good
2026-09-27T07:00:00.000Z	38 \| good	6.564 \| good	17.644 \| good	7.212 \| good	0.445 \| good	10.963 \| good	0.043 \| good
2026-09-27T08:00:00.000Z	38 \| good	6.757 \| good	23.871 \| good	9.492 \| good	0.447 \| good	13.202 \| good	0.045 \| good
2026-09-27T09:00:00.000Z	33 \| good	6.331 \| good	21.542 \| good	11.815 \| good	0.84 \| good	13.189 \| good	0.043 \| good
2026-09-27T10:00:00.000Z	38 \| good	7.332 \| good	16.333 \| good	9.431 \| good	0.937 \| good	10.361 \| good	0.052 \| good
2026-09-27T11:00:00.000Z	38 \| good	7.069 \| good	16.959 \| good	13.579 \| good	0.871 \| good	8.364 \| good	0.042 \| good
2026-09-27T12:00:00.000Z	33 \| good	6.492 \| good	22.749 \| good	15.261 \| good	0.665 \| good	7.901 \| good	0.04 \| good
2026-09-27T13:00:00.000Z	44 \| good	8.345 \| good	19.394 \| good	18.021 \| good	1.21 \| good	7.295 \| good	0.038 \| good
2026-09-27T14:00:00.000Z	44 \| good	7.661 \| good	19.342 \| good	21.206 \| good	1.141 \| good	5.796 \| good	0.038 \| good
2026-09-27T15:00:00.000Z	38 \| good	7.483 \| good	17.847 \| good	24.609 \| good	1.146 \| good	4.328 \| good	0.041 \| good
2026-09-27T16:00:00.000Z	44 \| good	8.448 \| good	22.589 \| good	25.536 \| good	1.043 \| good	7.549 \| good	0.04 \| good
2026-09-27T17:00:00.000Z	44 \| good	8.461 \| good	22.941 \| good	29.207 \| good	0.943 \| good	6.864 \| good	0.04 \| good
2026-09-27T18:00:00.000Z	44 \| good	7.905 \| good	24.517 \| good	31.86 \| good	0.941 \| good	5.479 \| good	0.048 \| good
2026-09-27T19:00:00.000Z	38 \| good	7.411 \| good	22.93 \| good	31.367 \| good	0.934 \| good	4.798 \| good	0.056 \| good
2026-09-27T20:00:00.000Z	44 \| good	7.645 \| good	24.82 \| good	32.523 \| good	0.547 \| good	8.135 \| good	0.063 \| good
2026-09-27T21:00:00.000Z	44 \| good	7.657 \| good	20.831 \| good	32.237 \| good	0.888 \| good	6.451 \| good	0.078 \| good
2026-09-27T22:00:00.000Z	38 \| good	7.061 \| good	21.553 \| good	33.575 \| good	0.964 \| good	9.95 \| good	0.065 \| good
2026-09-27T23:00:00.000Z	38 \| good	6.887 \| good	23.117 \| good	30.529 \| good	0.881 \| good	11.159 \| good	0.071 \| good
2026-09-28T00:00:00.000Z	38 \| good	6.941 \| good	19.053 \| good	25.923 \| good	0.382 \| good	3.482 \| good	0.255 \| good
2026-09-28T01:00:00.000Z	38 \| good	7.12 \| good	22.02 \| good	23.041 \| good	0.458 \| good	7.502 \| good	0.18 \| good
2026-09-28T02:00:00.000Z	38 \| good	6.55 \| good	16.883 \| good	22.646 \| good	0.382 \| good	5.129 \| good	0.226 \| good
2026-09-28T03:00:00.000Z	33 \| good	6.373 \| good	19.48 \| good	22.699 \| good	0.483 \| good	4.362 \| good	0.214 \| good
2026-09-28T04:00:00.000Z	33 \| good	6 \| good	18.584 \| good	16.66 \| good	0.483 \| good	4.316 \| good	0.218 \| good
2026-09-28T05:00:00.000Z	33 \| good	6 \| good	14.881 \| good	18.204 \| good	0.484 \| good	5.491 \| good	0.197 \| good
2026-09-28T06:00:00.000Z	33 \| good	5.531 \| good	16.968 \| good	15.627 \| good	0.501 \| good	5.542 \| good	0.21 \| good
2026-09-28T07:00:00.000Z	33 \| good	5.714 \| good	14.043 \| good	13.437 \| good	0.669 \| good	8.349 \| good	0.279 \| good
2026-09-28T08:00:00.000Z	27 \| good	5.347 \| good	15.686 \| good	9.308 \| good	0.833 \| good	14.155 \| good	0.264 \| good
2026-09-28T09:00:00.000Z	27 \| good	4.771 \| good	21.548 \| good	5.364 \| good	0.944 \| good	10.049 \| good	0.235 \| good
2026-09-28T10:00:00.000Z	27 \| good	5.488 \| good	14.22 \| good	7.274 \| good	1.068 \| good	18.284 \| good	0.221 \| good
2026-09-28T11:00:00.000Z	27 \| good	4.741 \| good	10.653 \| good	5.219 \| good	0.92 \| good	17.266 \| good	0.212 \| good
2026-09-28T12:00:00.000Z	33 \| good	5.801 \| good	11.747 \| good	7.602 \| good	0.915 \| good	11.471 \| good	0.188 \| good
2026-09-28T13:00:00.000Z	27 \| good	5.007 \| good	11.963 \| good	12.269 \| good	0.656 \| good	7.956 \| good	0.165 \| good
2026-09-28T14:00:00.000Z	27 \| good	5.283 \| good	13.592 \| good	13.15 \| good	0.594 \| good	7.38 \| good	0.162 \| good
2026-09-28T15:00:00.000Z	27 \| good	4.834 \| good	12.466 \| good	15.852 \| good	0.539 \| good	8.304 \| good	0.156 \| good
2026-09-28T16:00:00.000Z	27 \| good	5.003 \| good	12.048 \| good	20.302 \| good	0.603 \| good	9.284 \| good	0.153 \| good
2026-09-28T17:00:00.000Z	22 \| good	4.217 \| good	11.497 \| good	21.075 \| good	0.513 \| good	7.023 \| good	0.169 \| good
2026-09-28T18:00:00.000Z	25 \| good	4.316 \| good	8.857 \| good	27.317 \| good	0.543 \| good	6.918 \| good	0.217 \| good
2026-09-28T19:00:00.000Z	29 \| good	4.35 \| good	10.403 \| good	31.299 \| good	0.477 \| good	8.177 \| good	0.253 \| good
2026-09-28T20:00:00.000Z	29 \| good	4.23 \| good	13.583 \| good	30.724 \| good	0.533 \| good	14.767 \| good	0.324 \| good
2026-09-28T21:00:00.000Z	30 \| good	4.372 \| good	14.554 \| good	31.693 \| good	0.643 \| good	12.755 \| good	0.312 \| good
2026-09-28T22:00:00.000Z	28 \| good	5.242 \| good	11.652 \| good	30.075 \| good	0.437 \| good	7.879 \| good	0.352 \| good
2026-09-28T22:00:00.000Z	30 \| good	4.372 \| good	14.554 \| good	31.693 \| good	0.643 \| good	12.755 \| good	0.312 \| good
2026-09-28T23:00:00.000Z	38 \| good	6.502 \| good	12.098 \| good	22.108 \| good	0.294 \| good	5.101 \| good	0.158 \| good
2026-09-29T00:00:00.000Z	27 \| good	5.385 \| good	10.399 \| good	22.86 \| good	0.214 \| good	4.032 \| good	0.15 \| good
2026-09-29T01:00:00.000Z	22 \| good	4.374 \| good	8.362 \| good	23.517 \| good	0.173 \| good	3.04 \| good	0.143 \| good
2026-09-29T02:00:00.000Z	22 \| good	3.723 \| good	6.973 \| good	23.73 \| good	0.154 \| good	2.552 \| good	0.139 \| good
2026-09-29T03:00:00.000Z	21 \| good	3.175 \| good	6.538 \| good	23.283 \| good	0.145 \| good	2.45 \| good	0.137 \| good
2026-09-29T04:00:00.000Z	22 \| good	3.56 \| good	6.597 \| good	23.352 \| good	0.144 \| good	2.451 \| good	0.136 \| good
2026-09-29T05:00:00.000Z	22 \| good	3.693 \| good	6.8 \| good	23.189 \| good	0.152 \| good	2.701 \| good	0.135 \| good
2026-09-29T06:00:00.000Z	22 \| good	3.77 \| good	7.018 \| good	23.235 \| good	0.167 \| good	3.51 \| good	0.135 \| good
2026-09-29T07:00:00.000Z	22 \| good	4.078 \| good	7.379 \| good	23.097 \| good	0.214 \| good	4.929 \| good	0.136 \| good
2026-09-29T08:00:00.000Z	23 \| good	4.11 \| good	7.378 \| good	25.439 \| good	0.215 \| good	5.257 \| good	0.135 \| good
2026-09-29T09:00:00.000Z	26 \| good	3.965 \| good	7.128 \| good	27.529 \| good	0.172 \| good	4.559 \| good	0.131 \| good
2026-09-29T10:00:00.000Z	26 \| good	3.923 \| good	6.707 \| good	28.159 \| good	0.18 \| good	3.826 \| good	0.13 \| good
2026-09-29T11:00:00.000Z	26 \| good	3.733 \| good	6.416 \| good	27.761 \| good	0.173 \| good	3.39 \| good	0.129 \| good
2026-09-29T12:00:00.000Z	27 \| good	3.803 \| good	6.089 \| good	28.931 \| good	0.173 \| good	3.051 \| good	0.131 \| good
2026-09-29T13:00:00.000Z	31 \| good	4.134 \| good	7.046 \| good	33.093 \| good	0.217 \| good	2.848 \| good	0.133 \| good
2026-09-29T14:00:00.000Z	32 \| good	4.927 \| good	7.634 \| good	34.677 \| good	0.226 \| good	2.852 \| good	0.135 \| good
2026-09-29T15:00:00.000Z	34 \| good	5.799 \| good	9.631 \| good	37.116 \| good	0.235 \| good	2.874 \| good	0.137 \| good
2026-09-29T16:00:00.000Z	38 \| good	6.638 \| good	10.927 \| good	38.922 \| good	0.241 \| good	3.227 \| good	0.143 \| good
2026-09-29T17:00:00.000Z	44 \| good	7.784 \| good	11.883 \| good	40.02 \| good	0.306 \| good	4.16 \| good	0.151 \| good
2026-09-29T18:00:00.000Z	44 \| good	7.785 \| good	12.568 \| good	38.686 \| good	0.367 \| good	5.572 \| good	0.155 \| good
2026-09-29T19:00:00.000Z	49 \| good	8.663 \| good	13.047 \| good	35.722 \| good	0.412 \| good	5.811 \| good	0.156 \| good
2026-09-29T20:00:00.000Z	52 \| moderate	9.994 \| good	14.44 \| good	34.126 \| good	0.41 \| good	5.795 \| good	0.158 \| good
2026-09-29T21:00:00.000Z	64 \| moderate	16.217 \| fine	18.101 \| good	32.385 \| good	0.418 \| good	5.931 \| good	0.159 \| good
2026-09-29T22:00:00.000Z	64 \| moderate	16.3 \| fine	18.967 \| good	30.929 \| good	0.429 \| good	5.639 \| good	0.16 \| good
2026-09-29T23:00:00.000Z	66 \| moderate	16.88 \| fine	21.539 \| good	30.895 \| good	0.439 \| good	5.491 \| good	0.166 \| good
2026-09-30T00:00:00.000Z	64 \| moderate	15.991 \| fine	22.76 \| good	32.8 \| good	0.377 \| good	5.062 \| good	0.162 \| good
2026-09-30T01:00:00.000Z	60 \| moderate	13.617 \| fine	20.274 \| good	32.148 \| good	0.329 \| good	4.546 \| good	0.152 \| good
2026-09-30T02:00:00.000Z	52 \| moderate	10.469 \| good	15.866 \| good	30.329 \| good	0.284 \| good	3.931 \| good	0.141 \| good
2026-09-30T03:00:00.000Z	44 \| good	8.079 \| good	11.124 \| good	30.337 \| good	0.257 \| good	3.517 \| good	0.14 \| good
2026-09-30T04:00:00.000Z	33 \| good	6.203 \| good	10.167 \| good	31.314 \| good	0.234 \| good	3.251 \| good	0.134 \| good
2026-09-30T05:00:00.000Z	33 \| good	5.515 \| good	9.273 \| good	31.316 \| good	0.224 \| good	3.333 \| good	0.129 \| good
2026-09-30T06:00:00.000Z	33 \| good	5.653 \| good	9.782 \| good	31.537 \| good	0.218 \| good	3.74 \| good	0.128 \| good
2026-09-30T07:00:00.000Z	33 \| good	5.506 \| good	8.339 \| good	29.569 \| good	0.229 \| good	4.593 \| good	0.134 \| good
2026-09-30T08:00:00.000Z	33 \| good	5.868 \| good	8.267 \| good	28.526 \| good	0.188 \| good	5.01 \| good	0.13 \| good
2026-09-30T09:00:00.000Z	27 \| good	5.499 \| good	7.069 \| good	28.238 \| good	0.151 \| good	4.791 \| good	0.122 \| good
2026-09-30T10:00:00.000Z	27 \| good	4.697 \| good	6.026 \| good	29.231 \| good	0.138 \| good	3.83 \| good	0.118 \| good
2026-09-30T11:00:00.000Z	28 \| good	4.62 \| good	6.428 \| good	30.363 \| good	0.147 \| good	2.663 \| good	0.113 \| good
2026-09-30T12:00:00.000Z	31 \| good	4.037 \| good	7.169 \| good	33.547 \| good	0.131 \| good	1.86 \| good	0.114 \| good
2026-09-30T13:00:00.000Z	33 \| good	4.015 \| good	7.679 \| good	36.205 \| good	0.122 \| good	1.488 \| good	0.114 \| good
2026-09-30T14:00:00.000Z	35 \| good	4.201 \| good	8.283 \| good	37.655 \| good	0.122 \| good	1.594 \| good	0.117 \| good
2026-09-30T15:00:00.000Z	34 \| good	4.433 \| good	9.313 \| good	36.993 \| good	0.129 \| good	2.016 \| good	0.119 \| good
2026-09-30T16:00:00.000Z	34 \| good	4.595 \| good	10.659 \| good	36.707 \| good	0.139 \| good	2.542 \| good	0.123 \| good
2026-09-30T17:00:00.000Z	31 \| good	5.057 \| good	11.039 \| good	33.451 \| good	0.211 \| good	3.927 \| good	0.13 \| good
2026-09-30T18:00:00.000Z	29 \| good	5.479 \| good	11.214 \| good	31.178 \| good	0.243 \| good	5.316 \| good	0.137 \| good
2026-09-30T19:00:00.000Z	33 \| good	6.368 \| good	11.421 \| good	27.411 \| good	0.301 \| good	6.766 \| good	0.14 \| good
2026-09-30T20:00:00.000Z	33 \| good	6.224 \| good	12.763 \| good	25.19 \| good	0.349 \| good	7.242 \| good	0.138 \| good
2026-09-30T21:00:00.000Z	33 \| good	6.02 \| good	13.458 \| good	22.818 \| good	0.37 \| good	7.756 \| good	0.14 \| good
2026-09-30T22:00:00.000Z	38 \| good	6.728 \| good	13.574 \| good	21.973 \| good	0.365 \| good	8.234 \| good	0.14 \| good

Somercotes, Derbyshire live air quality index now

Major air pollutants in Somercotes, Derbyshire

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Somercotes, Derbyshire air quality forecast and history

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Somercotes, Derbyshire air quality map: Track AQI near you

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How accurate is Derbyshire, UK air quality data?

Air quality levels in UK

Frequently asked questions

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

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

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

What is the current air quality in Somercotes, Derbyshire?

What pollutant is the most common in Somercotes, Derbyshire?

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

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

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

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

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

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

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

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

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

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

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