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

The current PM10 concentration at Somercotes, Derbyshire is 11.061 μg/m3.

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

The current sulfur dioxide (SO2) concentration at Somercotes, Derbyshire is 0.536 ppb.

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

The current ozone (O3) concentration at Somercotes, Derbyshire is 37.313 ppm.

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

The current nitrogen dioxide (NO2) concentration at Somercotes, Derbyshire is 2.776 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 4.631 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)

4.63 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

11.06 μg/m³

155

255

425

605+

Ozone (O₃)

37.31 ppb

201

201+

Sulfur Dioxide (SO₂)

0.54 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

2.78 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.07 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

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
2026-03-27T23:00:00.000Z	34 \| good	5.768 \| good	16.269 \| good	36.736 \| good	0.773 \| good	6.148 \| good	0.071 \| good
2026-03-28T00:00:00.000Z	31 \| good	5.451 \| good	14.422 \| good	33.06 \| good	0.59 \| good	6.283 \| good	0.273 \| good
2026-03-28T01:00:00.000Z	33 \| good	6.125 \| good	16.309 \| good	30.533 \| good	0.64 \| good	4.829 \| good	0.23 \| good
2026-03-28T02:00:00.000Z	33 \| good	5.691 \| good	13.709 \| good	29.262 \| good	0.66 \| good	3.789 \| good	0.217 \| good
2026-03-28T03:00:00.000Z	33 \| good	6.21 \| good	19.132 \| good	32.159 \| good	0.482 \| good	3.365 \| good	0.209 \| good
2026-03-28T04:00:00.000Z	33 \| good	6.154 \| good	18.583 \| good	30.959 \| good	0.534 \| good	2.572 \| good	0.203 \| good
2026-03-28T05:00:00.000Z	38 \| good	6.546 \| good	17.268 \| good	33.048 \| good	0.553 \| good	3.074 \| good	0.2 \| good
2026-03-28T06:00:00.000Z	33 \| good	6.366 \| good	15.05 \| good	31.753 \| good	0.483 \| good	2.03 \| good	0.198 \| good
2026-03-28T07:00:00.000Z	33 \| good	6.044 \| good	15.734 \| good	34.314 \| good	0.483 \| good	1.989 \| good	0.051 \| good
2026-03-28T08:00:00.000Z	38 \| good	6.539 \| good	17.731 \| good	36.279 \| good	0.604 \| good	2.407 \| good	0.058 \| good
2026-03-28T09:00:00.000Z	38 \| good	6.621 \| good	16.015 \| good	34.101 \| good	0.811 \| good	3.141 \| good	0.063 \| good
2026-03-28T10:00:00.000Z	38 \| good	6.619 \| good	13.246 \| good	37.485 \| good	0.495 \| good	3.989 \| good	0.069 \| good
2026-03-28T11:00:00.000Z	38 \| good	6.815 \| good	16.288 \| good	36.044 \| good	0.504 \| good	3.917 \| good	0.071 \| good
2026-03-28T12:00:00.000Z	38 \| good	7 \| good	21.065 \| good	36.741 \| good	0.539 \| good	4.638 \| good	0.068 \| good
2026-03-28T13:00:00.000Z	38 \| good	7.481 \| good	21.39 \| good	40.393 \| good	0.539 \| good	5.404 \| good	0.067 \| good
2026-03-28T14:00:00.000Z	44 \| good	7.625 \| good	23.451 \| good	38.226 \| good	0.54 \| good	5.95 \| good	0.065 \| good
2026-03-28T15:00:00.000Z	38 \| good	7.476 \| good	23.23 \| good	39.684 \| good	0.54 \| good	5.269 \| good	0.078 \| good
2026-03-28T16:00:00.000Z	39 \| good	7.245 \| good	14.322 \| good	41.838 \| good	0.54 \| good	4.938 \| good	0.068 \| good
2026-03-28T17:00:00.000Z	39 \| good	6.808 \| good	18.344 \| good	42.252 \| good	0.54 \| good	3.111 \| good	0.069 \| good
2026-03-28T18:00:00.000Z	38 \| good	6.796 \| good	22.862 \| good	41.428 \| good	0.739 \| good	3.928 \| good	0.067 \| good
2026-03-28T19:00:00.000Z	38 \| good	6.588 \| good	18.458 \| good	38.731 \| good	0.737 \| good	4.371 \| good	0.078 \| good
2026-03-28T20:00:00.000Z	35 \| good	6.017 \| good	20.89 \| good	38.491 \| good	0.709 \| good	4.033 \| good	0.08 \| good
2026-03-28T21:00:00.000Z	34 \| good	5.956 \| good	17.472 \| good	37.454 \| good	0.593 \| good	4.395 \| good	0.072 \| good
2026-03-28T22:00:00.000Z	36 \| good	5.691 \| good	17.549 \| good	38.506 \| good	0.646 \| good	5.205 \| good	0.075 \| good
2026-03-28T23:00:00.000Z	33 \| good	5.655 \| good	18.161 \| good	33.628 \| good	0.717 \| good	6.086 \| good	0.072 \| good
2026-03-29T00:00:00.000Z	33 \| good	5.624 \| good	11.915 \| good	33.98 \| good	0.662 \| good	5.095 \| good	0.266 \| good
2026-03-29T01:00:00.000Z	33 \| good	5.665 \| good	13.805 \| good	34.102 \| good	0.71 \| good	4.495 \| good	0.264 \| good
2026-03-29T02:00:00.000Z	33 \| good	6.483 \| good	13.953 \| good	30.64 \| good	0.589 \| good	4.616 \| good	0.247 \| good
2026-03-29T03:00:00.000Z	38 \| good	6.904 \| good	13.173 \| good	27.6 \| good	0.589 \| good	4.483 \| good	0.299 \| good
2026-03-29T04:00:00.000Z	33 \| good	6.284 \| good	13.88 \| good	25.439 \| good	0.453 \| good	5.397 \| good	0.285 \| good
2026-03-29T05:00:00.000Z	33 \| good	5.826 \| good	13.282 \| good	25.714 \| good	0.478 \| good	5.88 \| good	0.071 \| good
2026-03-29T06:00:00.000Z	33 \| good	5.823 \| good	16.607 \| good	27.111 \| good	0.581 \| good	7.769 \| good	0.067 \| good
2026-03-29T07:00:00.000Z	33 \| good	6.204 \| good	15.683 \| good	26.894 \| good	0.582 \| good	10.561 \| good	0.067 \| good
2026-03-29T08:00:00.000Z	33 \| good	5.535 \| good	14.906 \| good	24.614 \| good	0.7 \| good	6.691 \| good	0.073 \| good
2026-03-29T09:00:00.000Z	27 \| good	5.39 \| good	15.116 \| good	24.184 \| good	0.795 \| good	6.022 \| good	0.083 \| good
2026-03-29T10:00:00.000Z	27 \| good	5.412 \| good	12.862 \| good	25.152 \| good	0.531 \| good	7.225 \| good	0.08 \| good
2026-03-29T11:00:00.000Z	33 \| good	5.687 \| good	15.924 \| good	24.789 \| good	0.436 \| good	7.531 \| good	0.063 \| good
2026-03-29T12:00:00.000Z	27 \| good	5.428 \| good	17.124 \| good	26.184 \| good	0.538 \| good	4.902 \| good	0.061 \| good
2026-03-29T13:00:00.000Z	27 \| good	5.249 \| good	13.855 \| good	29.057 \| good	0.604 \| good	5.491 \| good	0.07 \| good
2026-03-29T14:00:00.000Z	29 \| good	5.086 \| good	9.858 \| good	30.531 \| good	0.538 \| good	4.953 \| good	0.066 \| good
2026-03-29T15:00:00.000Z	32 \| good	5.448 \| good	11.063 \| good	35.069 \| good	0.732 \| good	5.419 \| good	0.069 \| good
2026-03-29T16:00:00.000Z	31 \| good	4.84 \| good	13.485 \| good	34.256 \| good	0.594 \| good	3.618 \| good	0.069 \| good
2026-03-29T17:00:00.000Z	34 \| good	5.009 \| good	9.281 \| good	37.063 \| good	0.602 \| good	2.222 \| good	0.067 \| good
2026-03-29T18:00:00.000Z	33 \| good	4.53 \| good	11.984 \| good	35.858 \| good	0.594 \| good	2.123 \| good	0.066 \| good
2026-03-29T19:00:00.000Z	35 \| good	4.53 \| good	15.362 \| good	37.633 \| good	0.546 \| good	2.032 \| good	0.075 \| good
2026-03-29T20:00:00.000Z	36 \| good	4.597 \| good	10.739 \| good	39.352 \| good	0.657 \| good	2.681 \| good	0.095 \| good
2026-03-29T21:00:00.000Z	34 \| good	4.631 \| good	11.061 \| good	37.313 \| good	0.536 \| good	2.776 \| good	0.065 \| good
2026-03-29T22:00:00.000Z	34 \| good	4.631 \| good	11.061 \| good	37.313 \| good	0.536 \| good	2.776 \| good	0.065 \| good
2026-03-29T23:00:00.000Z	44 \| good	5.478 \| good	16.208 \| good	47.948 \| good	0.264 \| good	1.595 \| good	0.114 \| good
2026-03-30T00:00:00.000Z	44 \| good	5.926 \| good	15.599 \| good	47.04 \| good	0.232 \| good	1.551 \| good	0.114 \| good
2026-03-30T01:00:00.000Z	44 \| good	5.351 \| good	14.514 \| good	46.54 \| good	0.204 \| good	1.439 \| good	0.115 \| good
2026-03-30T02:00:00.000Z	43 \| good	5.155 \| good	14.421 \| good	46.027 \| good	0.173 \| good	1.293 \| good	0.115 \| good
2026-03-30T03:00:00.000Z	42 \| good	5.18 \| good	14.294 \| good	45.468 \| good	0.167 \| good	1.328 \| good	0.116 \| good
2026-03-30T04:00:00.000Z	42 \| good	5.255 \| good	12.925 \| good	44.685 \| good	0.158 \| good	1.373 \| good	0.117 \| good
2026-03-30T05:00:00.000Z	42 \| good	5.348 \| good	12.317 \| good	44.563 \| good	0.175 \| good	1.41 \| good	0.118 \| good
2026-03-30T06:00:00.000Z	42 \| good	5.395 \| good	12.829 \| good	44.645 \| good	0.223 \| good	1.661 \| good	0.118 \| good
2026-03-30T07:00:00.000Z	42 \| good	5.331 \| good	12.574 \| good	44.678 \| good	0.272 \| good	2.256 \| good	0.122 \| good
2026-03-30T08:00:00.000Z	43 \| good	5.08 \| good	12.237 \| good	45.742 \| good	0.249 \| good	2.399 \| good	0.123 \| good
2026-03-30T09:00:00.000Z	44 \| good	4.827 \| good	12.155 \| good	46.642 \| good	0.23 \| good	2.218 \| good	0.123 \| good
2026-03-30T10:00:00.000Z	44 \| good	4.58 \| good	11.653 \| good	47.595 \| good	0.209 \| good	1.818 \| good	0.123 \| good
2026-03-30T11:00:00.000Z	45 \| good	4.389 \| good	11.451 \| good	48.515 \| good	0.201 \| good	1.647 \| good	0.122 \| good
2026-03-30T12:00:00.000Z	46 \| good	4.139 \| good	10.514 \| good	49.94 \| good	0.192 \| good	1.272 \| good	0.122 \| good
2026-03-30T13:00:00.000Z	47 \| good	4.005 \| good	9.826 \| good	50.754 \| good	0.18 \| good	1.136 \| good	0.122 \| good
2026-03-30T14:00:00.000Z	47 \| good	3.918 \| good	9.645 \| good	51.196 \| good	0.18 \| good	1.145 \| good	0.122 \| good
2026-03-30T15:00:00.000Z	47 \| good	3.998 \| good	9.467 \| good	50.52 \| good	0.186 \| good	1.261 \| good	0.122 \| good
2026-03-30T16:00:00.000Z	45 \| good	4.236 \| good	8.985 \| good	49.343 \| good	0.203 \| good	1.549 \| good	0.123 \| good
2026-03-30T17:00:00.000Z	44 \| good	4.229 \| good	9.791 \| good	48.364 \| good	0.212 \| good	2.126 \| good	0.127 \| good
2026-03-30T18:00:00.000Z	44 \| good	4.527 \| good	11.715 \| good	47.421 \| good	0.252 \| good	2.916 \| good	0.129 \| good
2026-03-30T19:00:00.000Z	43 \| good	4.82 \| good	13.165 \| good	45.891 \| good	0.304 \| good	3.261 \| good	0.129 \| good
2026-03-30T20:00:00.000Z	42 \| good	5.237 \| good	12.967 \| good	44.557 \| good	0.343 \| good	3.46 \| good	0.129 \| good
2026-03-30T21:00:00.000Z	41 \| good	5.276 \| good	12.236 \| good	43.853 \| good	0.362 \| good	3.318 \| good	0.129 \| good
2026-03-30T22:00:00.000Z	40 \| good	5.3 \| good	12.18 \| good	42.669 \| good	0.364 \| good	3.319 \| good	0.128 \| good
2026-03-30T23:00:00.000Z	38 \| good	5.23 \| good	12.016 \| good	41.111 \| good	0.348 \| good	3.221 \| good	0.127 \| good
2026-03-31T00:00:00.000Z	37 \| good	5.137 \| good	12.324 \| good	39.87 \| good	0.277 \| good	2.953 \| good	0.126 \| good
2026-03-31T01:00:00.000Z	35 \| good	5.301 \| good	12.742 \| good	38.363 \| good	0.247 \| good	2.594 \| good	0.126 \| good
2026-03-31T02:00:00.000Z	34 \| good	5.411 \| good	12.752 \| good	37.11 \| good	0.239 \| good	2.423 \| good	0.126 \| good
2026-03-31T03:00:00.000Z	32 \| good	5.394 \| good	12.636 \| good	35.327 \| good	0.25 \| good	2.25 \| good	0.127 \| good
2026-03-31T04:00:00.000Z	31 \| good	5.466 \| good	9.358 \| good	33.498 \| good	0.228 \| good	2.281 \| good	0.126 \| good
2026-03-31T05:00:00.000Z	33 \| good	5.55 \| good	9.259 \| good	30.924 \| good	0.199 \| good	2.566 \| good	0.125 \| good
2026-03-31T06:00:00.000Z	33 \| good	5.907 \| good	9.941 \| good	28.239 \| good	0.211 \| good	3.249 \| good	0.128 \| good
2026-03-31T07:00:00.000Z	33 \| good	6.468 \| good	9.615 \| good	25.576 \| good	0.296 \| good	4.792 \| good	0.134 \| good
2026-03-31T08:00:00.000Z	33 \| good	6.42 \| good	8.419 \| good	24 \| good	0.335 \| good	5.789 \| good	0.135 \| good
2026-03-31T09:00:00.000Z	33 \| good	5.677 \| good	7.489 \| good	24.447 \| good	0.314 \| good	5.227 \| good	0.128 \| good
2026-03-31T10:00:00.000Z	27 \| good	5.074 \| good	6.882 \| good	25.158 \| good	0.264 \| good	4.923 \| good	0.125 \| good
2026-03-31T11:00:00.000Z	27 \| good	4.535 \| good	6.266 \| good	26.173 \| good	0.227 \| good	4.043 \| good	0.12 \| good
2026-03-31T12:00:00.000Z	27 \| good	3.937 \| good	5.977 \| good	28.805 \| good	0.198 \| good	3.386 \| good	0.117 \| good
2026-03-31T13:00:00.000Z	29 \| good	3.284 \| good	5.798 \| good	31.141 \| good	0.178 \| good	2.708 \| good	0.116 \| good
2026-03-31T14:00:00.000Z	31 \| good	3.706 \| good	5.983 \| good	33.911 \| good	0.178 \| good	2.425 \| good	0.115 \| good
2026-03-31T15:00:00.000Z	32 \| good	4.065 \| good	6.219 \| good	34.929 \| good	0.169 \| good	2.302 \| good	0.115 \| good
2026-03-31T16:00:00.000Z	32 \| good	4.163 \| good	6.353 \| good	34.768 \| good	0.165 \| good	2.417 \| good	0.117 \| good
2026-03-31T17:00:00.000Z	31 \| good	4.267 \| good	6.821 \| good	34.198 \| good	0.189 \| good	2.702 \| good	0.119 \| good
2026-03-31T18:00:00.000Z	31 \| good	5.247 \| good	7.52 \| good	33.633 \| good	0.311 \| good	4.306 \| good	0.125 \| good
2026-03-31T19:00:00.000Z	33 \| good	5.986 \| good	8.566 \| good	31.064 \| good	0.458 \| good	5.992 \| good	0.13 \| good
2026-03-31T20:00:00.000Z	38 \| good	6.846 \| good	9.776 \| good	27.36 \| good	0.526 \| good	6.526 \| good	0.134 \| good
2026-03-31T21:00:00.000Z	44 \| good	8.053 \| good	10.795 \| good	25.248 \| good	0.479 \| good	7.101 \| good	0.137 \| good
2026-03-31T22:00:00.000Z	49 \| good	9.367 \| good	11.209 \| good	26.201 \| good	0.389 \| good	7.038 \| good	0.138 \| good

Somercotes

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Somercotes, Derbyshire air quality map: Track AQI near you

0.07ppm

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 03:00:00 on 2026-03-29.

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 01:00:00 on 2026-03-29.

What is the current air quality in Somercotes, Derbyshire?

The current air quality in Somercotes, Derbyshire is 34, 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 4.631 μg/m³.

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

The current PM₁₀ concentration at Somercotes, Derbyshire is 11.061 μg/m³.

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

The current carbon monoxide (CO) concentration at Somercotes, Derbyshire is 0.065 ppm.

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

The current sulfur dioxide (SO₂) concentration at Somercotes, Derbyshire is 0.536 ppb.

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

The current ozone (O₃) concentration at Somercotes, Derbyshire is 37.313 ppm.

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

The current nitrogen dioxide (NO₂) concentration at Somercotes, Derbyshire is 2.776 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-03-27T23:00:00.000Z	34 \| good	5.768 \| good	16.269 \| good	36.736 \| good	0.773 \| good	6.148 \| good	0.071 \| good
2026-03-28T00:00:00.000Z	31 \| good	5.451 \| good	14.422 \| good	33.06 \| good	0.59 \| good	6.283 \| good	0.273 \| good
2026-03-28T01:00:00.000Z	33 \| good	6.125 \| good	16.309 \| good	30.533 \| good	0.64 \| good	4.829 \| good	0.23 \| good
2026-03-28T02:00:00.000Z	33 \| good	5.691 \| good	13.709 \| good	29.262 \| good	0.66 \| good	3.789 \| good	0.217 \| good
2026-03-28T03:00:00.000Z	33 \| good	6.21 \| good	19.132 \| good	32.159 \| good	0.482 \| good	3.365 \| good	0.209 \| good
2026-03-28T04:00:00.000Z	33 \| good	6.154 \| good	18.583 \| good	30.959 \| good	0.534 \| good	2.572 \| good	0.203 \| good
2026-03-28T05:00:00.000Z	38 \| good	6.546 \| good	17.268 \| good	33.048 \| good	0.553 \| good	3.074 \| good	0.2 \| good
2026-03-28T06:00:00.000Z	33 \| good	6.366 \| good	15.05 \| good	31.753 \| good	0.483 \| good	2.03 \| good	0.198 \| good
2026-03-28T07:00:00.000Z	33 \| good	6.044 \| good	15.734 \| good	34.314 \| good	0.483 \| good	1.989 \| good	0.051 \| good
2026-03-28T08:00:00.000Z	38 \| good	6.539 \| good	17.731 \| good	36.279 \| good	0.604 \| good	2.407 \| good	0.058 \| good
2026-03-28T09:00:00.000Z	38 \| good	6.621 \| good	16.015 \| good	34.101 \| good	0.811 \| good	3.141 \| good	0.063 \| good
2026-03-28T10:00:00.000Z	38 \| good	6.619 \| good	13.246 \| good	37.485 \| good	0.495 \| good	3.989 \| good	0.069 \| good
2026-03-28T11:00:00.000Z	38 \| good	6.815 \| good	16.288 \| good	36.044 \| good	0.504 \| good	3.917 \| good	0.071 \| good
2026-03-28T12:00:00.000Z	38 \| good	7 \| good	21.065 \| good	36.741 \| good	0.539 \| good	4.638 \| good	0.068 \| good
2026-03-28T13:00:00.000Z	38 \| good	7.481 \| good	21.39 \| good	40.393 \| good	0.539 \| good	5.404 \| good	0.067 \| good
2026-03-28T14:00:00.000Z	44 \| good	7.625 \| good	23.451 \| good	38.226 \| good	0.54 \| good	5.95 \| good	0.065 \| good
2026-03-28T15:00:00.000Z	38 \| good	7.476 \| good	23.23 \| good	39.684 \| good	0.54 \| good	5.269 \| good	0.078 \| good
2026-03-28T16:00:00.000Z	39 \| good	7.245 \| good	14.322 \| good	41.838 \| good	0.54 \| good	4.938 \| good	0.068 \| good
2026-03-28T17:00:00.000Z	39 \| good	6.808 \| good	18.344 \| good	42.252 \| good	0.54 \| good	3.111 \| good	0.069 \| good
2026-03-28T18:00:00.000Z	38 \| good	6.796 \| good	22.862 \| good	41.428 \| good	0.739 \| good	3.928 \| good	0.067 \| good
2026-03-28T19:00:00.000Z	38 \| good	6.588 \| good	18.458 \| good	38.731 \| good	0.737 \| good	4.371 \| good	0.078 \| good
2026-03-28T20:00:00.000Z	35 \| good	6.017 \| good	20.89 \| good	38.491 \| good	0.709 \| good	4.033 \| good	0.08 \| good
2026-03-28T21:00:00.000Z	34 \| good	5.956 \| good	17.472 \| good	37.454 \| good	0.593 \| good	4.395 \| good	0.072 \| good
2026-03-28T22:00:00.000Z	36 \| good	5.691 \| good	17.549 \| good	38.506 \| good	0.646 \| good	5.205 \| good	0.075 \| good
2026-03-28T23:00:00.000Z	33 \| good	5.655 \| good	18.161 \| good	33.628 \| good	0.717 \| good	6.086 \| good	0.072 \| good
2026-03-29T00:00:00.000Z	33 \| good	5.624 \| good	11.915 \| good	33.98 \| good	0.662 \| good	5.095 \| good	0.266 \| good
2026-03-29T01:00:00.000Z	33 \| good	5.665 \| good	13.805 \| good	34.102 \| good	0.71 \| good	4.495 \| good	0.264 \| good
2026-03-29T02:00:00.000Z	33 \| good	6.483 \| good	13.953 \| good	30.64 \| good	0.589 \| good	4.616 \| good	0.247 \| good
2026-03-29T03:00:00.000Z	38 \| good	6.904 \| good	13.173 \| good	27.6 \| good	0.589 \| good	4.483 \| good	0.299 \| good
2026-03-29T04:00:00.000Z	33 \| good	6.284 \| good	13.88 \| good	25.439 \| good	0.453 \| good	5.397 \| good	0.285 \| good
2026-03-29T05:00:00.000Z	33 \| good	5.826 \| good	13.282 \| good	25.714 \| good	0.478 \| good	5.88 \| good	0.071 \| good
2026-03-29T06:00:00.000Z	33 \| good	5.823 \| good	16.607 \| good	27.111 \| good	0.581 \| good	7.769 \| good	0.067 \| good
2026-03-29T07:00:00.000Z	33 \| good	6.204 \| good	15.683 \| good	26.894 \| good	0.582 \| good	10.561 \| good	0.067 \| good
2026-03-29T08:00:00.000Z	33 \| good	5.535 \| good	14.906 \| good	24.614 \| good	0.7 \| good	6.691 \| good	0.073 \| good
2026-03-29T09:00:00.000Z	27 \| good	5.39 \| good	15.116 \| good	24.184 \| good	0.795 \| good	6.022 \| good	0.083 \| good
2026-03-29T10:00:00.000Z	27 \| good	5.412 \| good	12.862 \| good	25.152 \| good	0.531 \| good	7.225 \| good	0.08 \| good
2026-03-29T11:00:00.000Z	33 \| good	5.687 \| good	15.924 \| good	24.789 \| good	0.436 \| good	7.531 \| good	0.063 \| good
2026-03-29T12:00:00.000Z	27 \| good	5.428 \| good	17.124 \| good	26.184 \| good	0.538 \| good	4.902 \| good	0.061 \| good
2026-03-29T13:00:00.000Z	27 \| good	5.249 \| good	13.855 \| good	29.057 \| good	0.604 \| good	5.491 \| good	0.07 \| good
2026-03-29T14:00:00.000Z	29 \| good	5.086 \| good	9.858 \| good	30.531 \| good	0.538 \| good	4.953 \| good	0.066 \| good
2026-03-29T15:00:00.000Z	32 \| good	5.448 \| good	11.063 \| good	35.069 \| good	0.732 \| good	5.419 \| good	0.069 \| good
2026-03-29T16:00:00.000Z	31 \| good	4.84 \| good	13.485 \| good	34.256 \| good	0.594 \| good	3.618 \| good	0.069 \| good
2026-03-29T17:00:00.000Z	34 \| good	5.009 \| good	9.281 \| good	37.063 \| good	0.602 \| good	2.222 \| good	0.067 \| good
2026-03-29T18:00:00.000Z	33 \| good	4.53 \| good	11.984 \| good	35.858 \| good	0.594 \| good	2.123 \| good	0.066 \| good
2026-03-29T19:00:00.000Z	35 \| good	4.53 \| good	15.362 \| good	37.633 \| good	0.546 \| good	2.032 \| good	0.075 \| good
2026-03-29T20:00:00.000Z	36 \| good	4.597 \| good	10.739 \| good	39.352 \| good	0.657 \| good	2.681 \| good	0.095 \| good
2026-03-29T21:00:00.000Z	34 \| good	4.631 \| good	11.061 \| good	37.313 \| good	0.536 \| good	2.776 \| good	0.065 \| good
2026-03-29T22:00:00.000Z	34 \| good	4.631 \| good	11.061 \| good	37.313 \| good	0.536 \| good	2.776 \| good	0.065 \| good
2026-03-29T23:00:00.000Z	44 \| good	5.478 \| good	16.208 \| good	47.948 \| good	0.264 \| good	1.595 \| good	0.114 \| good
2026-03-30T00:00:00.000Z	44 \| good	5.926 \| good	15.599 \| good	47.04 \| good	0.232 \| good	1.551 \| good	0.114 \| good
2026-03-30T01:00:00.000Z	44 \| good	5.351 \| good	14.514 \| good	46.54 \| good	0.204 \| good	1.439 \| good	0.115 \| good
2026-03-30T02:00:00.000Z	43 \| good	5.155 \| good	14.421 \| good	46.027 \| good	0.173 \| good	1.293 \| good	0.115 \| good
2026-03-30T03:00:00.000Z	42 \| good	5.18 \| good	14.294 \| good	45.468 \| good	0.167 \| good	1.328 \| good	0.116 \| good
2026-03-30T04:00:00.000Z	42 \| good	5.255 \| good	12.925 \| good	44.685 \| good	0.158 \| good	1.373 \| good	0.117 \| good
2026-03-30T05:00:00.000Z	42 \| good	5.348 \| good	12.317 \| good	44.563 \| good	0.175 \| good	1.41 \| good	0.118 \| good
2026-03-30T06:00:00.000Z	42 \| good	5.395 \| good	12.829 \| good	44.645 \| good	0.223 \| good	1.661 \| good	0.118 \| good
2026-03-30T07:00:00.000Z	42 \| good	5.331 \| good	12.574 \| good	44.678 \| good	0.272 \| good	2.256 \| good	0.122 \| good
2026-03-30T08:00:00.000Z	43 \| good	5.08 \| good	12.237 \| good	45.742 \| good	0.249 \| good	2.399 \| good	0.123 \| good
2026-03-30T09:00:00.000Z	44 \| good	4.827 \| good	12.155 \| good	46.642 \| good	0.23 \| good	2.218 \| good	0.123 \| good
2026-03-30T10:00:00.000Z	44 \| good	4.58 \| good	11.653 \| good	47.595 \| good	0.209 \| good	1.818 \| good	0.123 \| good
2026-03-30T11:00:00.000Z	45 \| good	4.389 \| good	11.451 \| good	48.515 \| good	0.201 \| good	1.647 \| good	0.122 \| good
2026-03-30T12:00:00.000Z	46 \| good	4.139 \| good	10.514 \| good	49.94 \| good	0.192 \| good	1.272 \| good	0.122 \| good
2026-03-30T13:00:00.000Z	47 \| good	4.005 \| good	9.826 \| good	50.754 \| good	0.18 \| good	1.136 \| good	0.122 \| good
2026-03-30T14:00:00.000Z	47 \| good	3.918 \| good	9.645 \| good	51.196 \| good	0.18 \| good	1.145 \| good	0.122 \| good
2026-03-30T15:00:00.000Z	47 \| good	3.998 \| good	9.467 \| good	50.52 \| good	0.186 \| good	1.261 \| good	0.122 \| good
2026-03-30T16:00:00.000Z	45 \| good	4.236 \| good	8.985 \| good	49.343 \| good	0.203 \| good	1.549 \| good	0.123 \| good
2026-03-30T17:00:00.000Z	44 \| good	4.229 \| good	9.791 \| good	48.364 \| good	0.212 \| good	2.126 \| good	0.127 \| good
2026-03-30T18:00:00.000Z	44 \| good	4.527 \| good	11.715 \| good	47.421 \| good	0.252 \| good	2.916 \| good	0.129 \| good
2026-03-30T19:00:00.000Z	43 \| good	4.82 \| good	13.165 \| good	45.891 \| good	0.304 \| good	3.261 \| good	0.129 \| good
2026-03-30T20:00:00.000Z	42 \| good	5.237 \| good	12.967 \| good	44.557 \| good	0.343 \| good	3.46 \| good	0.129 \| good
2026-03-30T21:00:00.000Z	41 \| good	5.276 \| good	12.236 \| good	43.853 \| good	0.362 \| good	3.318 \| good	0.129 \| good
2026-03-30T22:00:00.000Z	40 \| good	5.3 \| good	12.18 \| good	42.669 \| good	0.364 \| good	3.319 \| good	0.128 \| good
2026-03-30T23:00:00.000Z	38 \| good	5.23 \| good	12.016 \| good	41.111 \| good	0.348 \| good	3.221 \| good	0.127 \| good
2026-03-31T00:00:00.000Z	37 \| good	5.137 \| good	12.324 \| good	39.87 \| good	0.277 \| good	2.953 \| good	0.126 \| good
2026-03-31T01:00:00.000Z	35 \| good	5.301 \| good	12.742 \| good	38.363 \| good	0.247 \| good	2.594 \| good	0.126 \| good
2026-03-31T02:00:00.000Z	34 \| good	5.411 \| good	12.752 \| good	37.11 \| good	0.239 \| good	2.423 \| good	0.126 \| good
2026-03-31T03:00:00.000Z	32 \| good	5.394 \| good	12.636 \| good	35.327 \| good	0.25 \| good	2.25 \| good	0.127 \| good
2026-03-31T04:00:00.000Z	31 \| good	5.466 \| good	9.358 \| good	33.498 \| good	0.228 \| good	2.281 \| good	0.126 \| good
2026-03-31T05:00:00.000Z	33 \| good	5.55 \| good	9.259 \| good	30.924 \| good	0.199 \| good	2.566 \| good	0.125 \| good
2026-03-31T06:00:00.000Z	33 \| good	5.907 \| good	9.941 \| good	28.239 \| good	0.211 \| good	3.249 \| good	0.128 \| good
2026-03-31T07:00:00.000Z	33 \| good	6.468 \| good	9.615 \| good	25.576 \| good	0.296 \| good	4.792 \| good	0.134 \| good
2026-03-31T08:00:00.000Z	33 \| good	6.42 \| good	8.419 \| good	24 \| good	0.335 \| good	5.789 \| good	0.135 \| good
2026-03-31T09:00:00.000Z	33 \| good	5.677 \| good	7.489 \| good	24.447 \| good	0.314 \| good	5.227 \| good	0.128 \| good
2026-03-31T10:00:00.000Z	27 \| good	5.074 \| good	6.882 \| good	25.158 \| good	0.264 \| good	4.923 \| good	0.125 \| good
2026-03-31T11:00:00.000Z	27 \| good	4.535 \| good	6.266 \| good	26.173 \| good	0.227 \| good	4.043 \| good	0.12 \| good
2026-03-31T12:00:00.000Z	27 \| good	3.937 \| good	5.977 \| good	28.805 \| good	0.198 \| good	3.386 \| good	0.117 \| good
2026-03-31T13:00:00.000Z	29 \| good	3.284 \| good	5.798 \| good	31.141 \| good	0.178 \| good	2.708 \| good	0.116 \| good
2026-03-31T14:00:00.000Z	31 \| good	3.706 \| good	5.983 \| good	33.911 \| good	0.178 \| good	2.425 \| good	0.115 \| good
2026-03-31T15:00:00.000Z	32 \| good	4.065 \| good	6.219 \| good	34.929 \| good	0.169 \| good	2.302 \| good	0.115 \| good
2026-03-31T16:00:00.000Z	32 \| good	4.163 \| good	6.353 \| good	34.768 \| good	0.165 \| good	2.417 \| good	0.117 \| good
2026-03-31T17:00:00.000Z	31 \| good	4.267 \| good	6.821 \| good	34.198 \| good	0.189 \| good	2.702 \| good	0.119 \| good
2026-03-31T18:00:00.000Z	31 \| good	5.247 \| good	7.52 \| good	33.633 \| good	0.311 \| good	4.306 \| good	0.125 \| good
2026-03-31T19:00:00.000Z	33 \| good	5.986 \| good	8.566 \| good	31.064 \| good	0.458 \| good	5.992 \| good	0.13 \| good
2026-03-31T20:00:00.000Z	38 \| good	6.846 \| good	9.776 \| good	27.36 \| good	0.526 \| good	6.526 \| good	0.134 \| good
2026-03-31T21:00:00.000Z	44 \| good	8.053 \| good	10.795 \| good	25.248 \| good	0.479 \| good	7.101 \| good	0.137 \| good
2026-03-31T22:00:00.000Z	49 \| good	9.367 \| good	11.209 \| good	26.201 \| good	0.389 \| good	7.038 \| good	0.138 \| 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)

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Somercotes, Derbyshire air quality map: Track AQI near you

Air quality in nearby cities

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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?