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

The current PM10 concentration at Belper, Derbyshire is 9.841 μg/m3.

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

The current sulfur dioxide (SO2) concentration at Belper, Derbyshire is 0.658 ppb.

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

The current ozone (O3) concentration at Belper, Derbyshire is 28.4 ppm.

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

The current nitrogen dioxide (NO2) concentration at Belper, Derbyshire is 7.339 ppb.

Belper, Derbyshire live air quality index now

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

The current PM2.5 concentration at Belper, Derbyshire is 2.971 μg/m3.

Stay updated with real-time air quality in Belper, 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

Belper, Derbyshire

Last updated: ... (Local time)

Major air pollutants in Belper, Derbyshire

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

2.97 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

9.84 μg/m³

155

255

425

605+

Ozone (O₃)

28.40 ppb

201

201+

Sulfur Dioxide (SO₂)

0.66 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

7.34 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.11 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

Belper, Derbyshire

Get Live Pollen Counts

Belper, Derbyshire

Scroll To Air Quality Map

Track live Belper, Derbyshire air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-05-12T13:00:00.000Z	30 \| good	4.419 \| good	9.401 \| good	31.686 \| good	0.567 \| good	5.643 \| good	0.12 \| good
2026-05-12T14:00:00.000Z	32 \| good	4.55 \| good	13.593 \| good	34.668 \| good	0.624 \| good	4.764 \| good	0.111 \| good
2026-05-12T15:00:00.000Z	33 \| good	4.744 \| good	12.608 \| good	35.74 \| good	0.721 \| good	4.961 \| good	0.113 \| good
2026-05-12T16:00:00.000Z	35 \| good	4.734 \| good	14.612 \| good	38.071 \| good	0.509 \| good	4.971 \| good	0.117 \| good
2026-05-12T17:00:00.000Z	35 \| good	4.909 \| good	13.703 \| good	38.15 \| good	0.508 \| good	4.982 \| good	0.662 \| good
2026-05-12T18:00:00.000Z	35 \| good	5.057 \| good	13.949 \| good	37.528 \| good	0.506 \| good	6.078 \| good	0.662 \| good
2026-05-12T19:00:00.000Z	38 \| good	4.966 \| good	12.666 \| good	40.789 \| good	0.592 \| good	3.658 \| good	0.163 \| good
2026-05-12T20:00:00.000Z	39 \| good	5.029 \| good	14.195 \| good	42.1 \| good	0.487 \| good	3.309 \| good	0.155 \| good
2026-05-12T21:00:00.000Z	37 \| good	5.418 \| good	14.239 \| good	40.125 \| good	0.49 \| good	3.092 \| good	0.153 \| good
2026-05-12T22:00:00.000Z	37 \| good	4.825 \| good	15.468 \| good	40.429 \| good	0.485 \| good	4.515 \| good	0.153 \| good
2026-05-12T23:00:00.000Z	35 \| good	5.036 \| good	15.659 \| good	38.041 \| good	0.533 \| good	4.075 \| good	0.662 \| good
2026-05-13T00:00:00.000Z	34 \| good	5.155 \| good	20.79 \| good	36.501 \| good	0.711 \| good	7.683 \| good	0.132 \| good
2026-05-13T01:00:00.000Z	31 \| good	5.406 \| good	17.17 \| good	33.9 \| good	0.849 \| good	5.28 \| good	0.662 \| good
2026-05-13T02:00:00.000Z	33 \| good	5.533 \| good	16.232 \| good	31.538 \| good	0.819 \| good	3.697 \| good	0.662 \| good
2026-05-13T03:00:00.000Z	30 \| good	4.671 \| good	15.455 \| good	32.326 \| good	0.716 \| good	3.566 \| good	0.662 \| good
2026-05-13T04:00:00.000Z	30 \| good	5.394 \| good	19.065 \| good	31.722 \| good	0.823 \| good	2.949 \| good	0.662 \| good
2026-05-13T05:00:00.000Z	33 \| good	5.647 \| good	18.636 \| good	30.029 \| good	0.654 \| good	2.729 \| good	0.662 \| good
2026-05-13T06:00:00.000Z	33 \| good	5.747 \| good	15.299 \| good	30.9 \| good	0.605 \| good	4.026 \| good	0.662 \| good
2026-05-13T07:00:00.000Z	27 \| good	5.395 \| good	13.648 \| good	29.072 \| good	0.713 \| good	4.321 \| good	0.144 \| good
2026-05-13T08:00:00.000Z	27 \| good	5.406 \| good	18.522 \| good	29.074 \| good	0.713 \| good	6.782 \| good	0.662 \| good
2026-05-13T09:00:00.000Z	33 \| good	5.512 \| good	15.933 \| good	28.596 \| good	0.654 \| good	10.337 \| good	0.662 \| good
2026-05-13T10:00:00.000Z	31 \| good	5.33 \| good	14.315 \| good	32.513 \| good	0.654 \| good	9.504 \| good	0.125 \| good
2026-05-13T11:00:00.000Z	27 \| good	5.119 \| good	14.16 \| good	29.459 \| good	0.714 \| good	7.028 \| good	0.122 \| good
2026-05-13T12:00:00.000Z	28 \| good	5.138 \| good	13.014 \| good	30.08 \| good	0.764 \| good	5.591 \| good	0.115 \| good
2026-05-13T13:00:00.000Z	28 \| good	4.963 \| good	14.239 \| good	29.825 \| good	0.764 \| good	6.819 \| good	0.117 \| good
2026-05-13T14:00:00.000Z	28 \| good	5.281 \| good	12.797 \| good	29.649 \| good	0.869 \| good	6.489 \| good	0.118 \| good
2026-05-13T15:00:00.000Z	27 \| good	4.854 \| good	12.419 \| good	29.3 \| good	0.772 \| good	8.978 \| good	0.113 \| good
2026-05-13T16:00:00.000Z	28 \| good	4.551 \| good	13.006 \| good	30.365 \| good	0.815 \| good	5.006 \| good	0.117 \| good
2026-05-13T17:00:00.000Z	29 \| good	4.406 \| good	11.21 \| good	30.674 \| good	0.769 \| good	7.281 \| good	0.122 \| good
2026-05-13T18:00:00.000Z	30 \| good	4.159 \| good	11.093 \| good	31.992 \| good	0.834 \| good	8.465 \| good	0.139 \| good
2026-05-13T19:00:00.000Z	30 \| good	4.074 \| good	9.255 \| good	31.718 \| good	0.706 \| good	4.968 \| good	0.197 \| good
2026-05-13T20:00:00.000Z	29 \| good	4.062 \| good	9.365 \| good	30.6 \| good	0.608 \| good	5.554 \| good	0.211 \| good
2026-05-13T21:00:00.000Z	27 \| good	3.924 \| good	10.335 \| good	29.317 \| good	0.608 \| good	6.16 \| good	0.2 \| good
2026-05-13T22:00:00.000Z	25 \| good	3.817 \| good	10.626 \| good	27.047 \| good	0.705 \| good	6.974 \| good	0.216 \| good
2026-05-13T23:00:00.000Z	26 \| good	3.876 \| good	8.272 \| good	27.544 \| good	0.708 \| good	4.855 \| good	0.224 \| good
2026-05-14T00:00:00.000Z	27 \| good	4.066 \| good	7.409 \| good	29.496 \| good	0.709 \| good	4.479 \| good	0.205 \| good
2026-05-14T01:00:00.000Z	26 \| good	3.671 \| good	5.443 \| good	28.203 \| good	0.657 \| good	3.256 \| good	0.167 \| good
2026-05-14T02:00:00.000Z	24 \| good	3.699 \| good	6.232 \| good	25.546 \| good	0.657 \| good	3.219 \| good	0.167 \| good
2026-05-14T03:00:00.000Z	26 \| good	3.4 \| good	9.93 \| good	27.618 \| good	0.608 \| good	1.982 \| good	0.15 \| good
2026-05-14T04:00:00.000Z	25 \| good	3.448 \| good	7.359 \| good	27.198 \| good	0.557 \| good	1.852 \| good	0.158 \| good
2026-05-14T05:00:00.000Z	22 \| good	3.334 \| good	11.71 \| good	24.452 \| good	0.6 \| good	1.887 \| good	0.172 \| good
2026-05-14T06:00:00.000Z	28 \| good	2.597 \| good	8.708 \| good	29.823 \| good	0.708 \| good	3.266 \| good	0.208 \| good
2026-05-14T07:00:00.000Z	23 \| good	2.611 \| good	7.184 \| good	24.92 \| good	0.813 \| good	6.404 \| good	0.177 \| good
2026-05-14T08:00:00.000Z	24 \| good	2.701 \| good	6.457 \| good	25.758 \| good	0.763 \| good	6.445 \| good	0.157 \| good
2026-05-14T09:00:00.000Z	27 \| good	2.751 \| good	7.293 \| good	29.222 \| good	0.653 \| good	4.739 \| good	0.13 \| good
2026-05-14T10:00:00.000Z	25 \| good	2.871 \| good	8.259 \| good	26.909 \| good	0.732 \| good	4.255 \| good	0.118 \| good
2026-05-14T11:00:00.000Z	27 \| good	2.88 \| good	11.664 \| good	28.675 \| good	0.654 \| good	3.417 \| good	0.118 \| good
2026-05-14T12:00:00.000Z	28 \| good	3.097 \| good	11.974 \| good	30.136 \| good	0.656 \| good	3.712 \| good	0.108 \| good
2026-05-14T12:00:00.000Z	26 \| good	2.971 \| good	9.841 \| good	28.4 \| good	0.658 \| good	7.339 \| good	0.108 \| good
2026-05-14T13:00:00.000Z	38 \| good	3.3 \| good	5.793 \| good	41.213 \| good	0.179 \| good	1.573 \| good	0.114 \| good
2026-05-14T14:00:00.000Z	38 \| good	3.179 \| good	5.568 \| good	41.19 \| good	0.155 \| good	1.676 \| good	0.115 \| good
2026-05-14T15:00:00.000Z	38 \| good	3.242 \| good	5.528 \| good	40.671 \| good	0.158 \| good	1.929 \| good	0.116 \| good
2026-05-14T16:00:00.000Z	37 \| good	3.007 \| good	5.086 \| good	40.315 \| good	0.168 \| good	2.251 \| good	0.118 \| good
2026-05-14T17:00:00.000Z	37 \| good	3.462 \| good	4.945 \| good	40.288 \| good	0.18 \| good	2.573 \| good	0.118 \| good
2026-05-14T18:00:00.000Z	36 \| good	3.514 \| good	5.256 \| good	39.391 \| good	0.239 \| good	3.051 \| good	0.121 \| good
2026-05-14T19:00:00.000Z	33 \| good	3.712 \| good	5.064 \| good	35.696 \| good	0.331 \| good	3.735 \| good	0.121 \| good
2026-05-14T20:00:00.000Z	30 \| good	4.454 \| good	5.654 \| good	32.111 \| good	0.367 \| good	5.275 \| good	0.128 \| good
2026-05-14T21:00:00.000Z	29 \| good	5.016 \| good	7.701 \| good	30.954 \| good	0.441 \| good	6.373 \| good	0.129 \| good
2026-05-14T22:00:00.000Z	28 \| good	5.4 \| good	8.699 \| good	30.067 \| good	0.479 \| good	5.597 \| good	0.127 \| good
2026-05-14T23:00:00.000Z	33 \| good	6.02 \| good	10.003 \| good	28.677 \| good	0.457 \| good	5.55 \| good	0.127 \| good
2026-05-15T00:00:00.000Z	38 \| good	6.787 \| good	10.672 \| good	29.005 \| good	0.402 \| good	4.962 \| good	0.125 \| good
2026-05-15T01:00:00.000Z	33 \| good	5.855 \| good	11.206 \| good	29.187 \| good	0.354 \| good	4.116 \| good	0.12 \| good
2026-05-15T02:00:00.000Z	33 \| good	5.898 \| good	10.307 \| good	28.616 \| good	0.294 \| good	3.283 \| good	0.118 \| good
2026-05-15T03:00:00.000Z	28 \| good	4.537 \| good	7.567 \| good	29.56 \| good	0.278 \| good	2.626 \| good	0.115 \| good
2026-05-15T04:00:00.000Z	26 \| good	3.441 \| good	6.338 \| good	28.181 \| good	0.304 \| good	2.401 \| good	0.116 \| good
2026-05-15T05:00:00.000Z	28 \| good	3.04 \| good	6.038 \| good	29.513 \| good	0.319 \| good	2.304 \| good	0.116 \| good
2026-05-15T06:00:00.000Z	29 \| good	2.942 \| good	6.003 \| good	30.975 \| good	0.309 \| good	2.829 \| good	0.118 \| good
2026-05-15T07:00:00.000Z	31 \| good	2.48 \| good	5.69 \| good	33.744 \| good	0.248 \| good	2.376 \| good	0.118 \| good
2026-05-15T08:00:00.000Z	34 \| good	2.429 \| good	5.843 \| good	37.055 \| good	0.211 \| good	1.983 \| good	0.117 \| good
2026-05-15T09:00:00.000Z	38 \| good	2.46 \| good	5.511 \| good	41.226 \| good	0.17 \| good	1.63 \| good	0.115 \| good
2026-05-15T10:00:00.000Z	40 \| good	2.545 \| good	5.588 \| good	43.46 \| good	0.159 \| good	1.349 \| good	0.114 \| good
2026-05-15T11:00:00.000Z	42 \| good	2.673 \| good	5.729 \| good	44.729 \| good	0.155 \| good	1.319 \| good	0.113 \| good
2026-05-15T12:00:00.000Z	42 \| good	2.676 \| good	5.882 \| good	45.235 \| good	0.143 \| good	1.324 \| good	0.113 \| good
2026-05-15T13:00:00.000Z	42 \| good	2.72 \| good	5.934 \| good	45.119 \| good	0.144 \| good	1.297 \| good	0.112 \| good
2026-05-15T14:00:00.000Z	43 \| good	2.775 \| good	6.113 \| good	45.629 \| good	0.144 \| good	1.294 \| good	0.113 \| good
2026-05-15T15:00:00.000Z	42 \| good	2.972 \| good	6.695 \| good	44.926 \| good	0.145 \| good	1.466 \| good	0.113 \| good
2026-05-15T16:00:00.000Z	41 \| good	3.378 \| good	7.115 \| good	43.617 \| good	0.156 \| good	1.675 \| good	0.114 \| good
2026-05-15T17:00:00.000Z	40 \| good	3.691 \| good	7.354 \| good	42.783 \| good	0.183 \| good	2.101 \| good	0.116 \| good
2026-05-15T18:00:00.000Z	40 \| good	3.802 \| good	7.806 \| good	42.599 \| good	0.203 \| good	2.568 \| good	0.118 \| good
2026-05-15T19:00:00.000Z	37 \| good	4.366 \| good	8.343 \| good	40.159 \| good	0.288 \| good	3.405 \| good	0.118 \| good
2026-05-15T20:00:00.000Z	34 \| good	4.561 \| good	8.667 \| good	36.926 \| good	0.408 \| good	4.593 \| good	0.122 \| good
2026-05-15T21:00:00.000Z	31 \| good	5.184 \| good	9.664 \| good	34.296 \| good	0.432 \| good	4.839 \| good	0.125 \| good
2026-05-15T22:00:00.000Z	33 \| good	6.316 \| good	9.791 \| good	31.335 \| good	0.406 \| good	5.429 \| good	0.129 \| good
2026-05-15T23:00:00.000Z	38 \| good	7.056 \| good	9.963 \| good	29.826 \| good	0.363 \| good	5.866 \| good	0.132 \| good
2026-05-16T00:00:00.000Z	38 \| good	7.437 \| good	10.353 \| good	28.757 \| good	0.33 \| good	6.103 \| good	0.133 \| good
2026-05-16T01:00:00.000Z	38 \| good	7.379 \| good	10.495 \| good	26.78 \| good	0.283 \| good	5.555 \| good	0.131 \| good
2026-05-16T02:00:00.000Z	38 \| good	6.925 \| good	10.405 \| good	26.301 \| good	0.274 \| good	4.813 \| good	0.129 \| good
2026-05-16T03:00:00.000Z	38 \| good	6.835 \| good	9.713 \| good	25.391 \| good	0.294 \| good	4.653 \| good	0.126 \| good
2026-05-16T04:00:00.000Z	44 \| good	7.987 \| good	10.576 \| good	24.912 \| good	0.335 \| good	5.065 \| good	0.124 \| good
2026-05-16T05:00:00.000Z	38 \| good	6.636 \| good	9.926 \| good	26.124 \| good	0.35 \| good	4.593 \| good	0.118 \| good
2026-05-16T06:00:00.000Z	28 \| good	4.03 \| good	7.39 \| good	29.679 \| good	0.303 \| good	3.122 \| good	0.116 \| good
2026-05-16T07:00:00.000Z	30 \| good	3.201 \| good	6.121 \| good	31.739 \| good	0.217 \| good	2.134 \| good	0.116 \| good
2026-05-16T08:00:00.000Z	31 \| good	3.104 \| good	5.487 \| good	33.623 \| good	0.191 \| good	1.709 \| good	0.115 \| good
2026-05-16T09:00:00.000Z	33 \| good	2.538 \| good	4.768 \| good	36.042 \| good	0.171 \| good	1.242 \| good	0.112 \| good
2026-05-16T10:00:00.000Z	35 \| good	2.301 \| good	4.541 \| good	38.332 \| good	0.138 \| good	1.159 \| good	0.112 \| good
2026-05-16T11:00:00.000Z	37 \| good	2.853 \| good	4.505 \| good	39.951 \| good	0.134 \| good	1.093 \| good	0.112 \| good
2026-05-16T12:00:00.000Z	39 \| good	3.412 \| good	4.754 \| good	41.797 \| good	0.132 \| good	1.146 \| good	0.112 \| good

Belper

Get reliable air quality data to drive your business

Belper, Derbyshire air quality map: Track AQI near you

0.12ppm

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

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 Belper, Derbyshire updated?

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

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

The worst air quality in Belper, Derbyshire in the last 24 hours was observed at 07:00:00 on 2026-05-13.

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

In the last 24 hrs, the best air quality in Belper, Derbyshire was observed at 05:00:00 on 2026-05-14.

What is the current air quality in Belper, Derbyshire?

The current air quality in Belper, Derbyshire is 26, categorized as Good based on real-time data.

What pollutant is the most common in Belper, Derbyshire?

The most common pollutant in Belper, Derbyshire is O3.

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

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

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

The current PM_2.5 concentration at Belper, Derbyshire is 2.971 μg/m³.

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

The current PM₁₀ concentration at Belper, Derbyshire is 9.841 μg/m³.

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

The current carbon monoxide (CO) concentration at Belper, Derbyshire is 0.108 ppm.

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

The current sulfur dioxide (SO₂) concentration at Belper, Derbyshire is 0.658 ppb.

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

The current ozone (O₃) concentration at Belper, Derbyshire is 28.4 ppm.

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

The current nitrogen dioxide (NO₂) concentration at Belper, Derbyshire is 7.339 ppb.

Certified

APIs

Refund Policy

Historical Climate Data

Terms & Conditions

Refund Policy

Terms & Conditions

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-05-12T13:00:00.000Z	30 \| good	4.419 \| good	9.401 \| good	31.686 \| good	0.567 \| good	5.643 \| good	0.12 \| good
2026-05-12T14:00:00.000Z	32 \| good	4.55 \| good	13.593 \| good	34.668 \| good	0.624 \| good	4.764 \| good	0.111 \| good
2026-05-12T15:00:00.000Z	33 \| good	4.744 \| good	12.608 \| good	35.74 \| good	0.721 \| good	4.961 \| good	0.113 \| good
2026-05-12T16:00:00.000Z	35 \| good	4.734 \| good	14.612 \| good	38.071 \| good	0.509 \| good	4.971 \| good	0.117 \| good
2026-05-12T17:00:00.000Z	35 \| good	4.909 \| good	13.703 \| good	38.15 \| good	0.508 \| good	4.982 \| good	0.662 \| good
2026-05-12T18:00:00.000Z	35 \| good	5.057 \| good	13.949 \| good	37.528 \| good	0.506 \| good	6.078 \| good	0.662 \| good
2026-05-12T19:00:00.000Z	38 \| good	4.966 \| good	12.666 \| good	40.789 \| good	0.592 \| good	3.658 \| good	0.163 \| good
2026-05-12T20:00:00.000Z	39 \| good	5.029 \| good	14.195 \| good	42.1 \| good	0.487 \| good	3.309 \| good	0.155 \| good
2026-05-12T21:00:00.000Z	37 \| good	5.418 \| good	14.239 \| good	40.125 \| good	0.49 \| good	3.092 \| good	0.153 \| good
2026-05-12T22:00:00.000Z	37 \| good	4.825 \| good	15.468 \| good	40.429 \| good	0.485 \| good	4.515 \| good	0.153 \| good
2026-05-12T23:00:00.000Z	35 \| good	5.036 \| good	15.659 \| good	38.041 \| good	0.533 \| good	4.075 \| good	0.662 \| good
2026-05-13T00:00:00.000Z	34 \| good	5.155 \| good	20.79 \| good	36.501 \| good	0.711 \| good	7.683 \| good	0.132 \| good
2026-05-13T01:00:00.000Z	31 \| good	5.406 \| good	17.17 \| good	33.9 \| good	0.849 \| good	5.28 \| good	0.662 \| good
2026-05-13T02:00:00.000Z	33 \| good	5.533 \| good	16.232 \| good	31.538 \| good	0.819 \| good	3.697 \| good	0.662 \| good
2026-05-13T03:00:00.000Z	30 \| good	4.671 \| good	15.455 \| good	32.326 \| good	0.716 \| good	3.566 \| good	0.662 \| good
2026-05-13T04:00:00.000Z	30 \| good	5.394 \| good	19.065 \| good	31.722 \| good	0.823 \| good	2.949 \| good	0.662 \| good
2026-05-13T05:00:00.000Z	33 \| good	5.647 \| good	18.636 \| good	30.029 \| good	0.654 \| good	2.729 \| good	0.662 \| good
2026-05-13T06:00:00.000Z	33 \| good	5.747 \| good	15.299 \| good	30.9 \| good	0.605 \| good	4.026 \| good	0.662 \| good
2026-05-13T07:00:00.000Z	27 \| good	5.395 \| good	13.648 \| good	29.072 \| good	0.713 \| good	4.321 \| good	0.144 \| good
2026-05-13T08:00:00.000Z	27 \| good	5.406 \| good	18.522 \| good	29.074 \| good	0.713 \| good	6.782 \| good	0.662 \| good
2026-05-13T09:00:00.000Z	33 \| good	5.512 \| good	15.933 \| good	28.596 \| good	0.654 \| good	10.337 \| good	0.662 \| good
2026-05-13T10:00:00.000Z	31 \| good	5.33 \| good	14.315 \| good	32.513 \| good	0.654 \| good	9.504 \| good	0.125 \| good
2026-05-13T11:00:00.000Z	27 \| good	5.119 \| good	14.16 \| good	29.459 \| good	0.714 \| good	7.028 \| good	0.122 \| good
2026-05-13T12:00:00.000Z	28 \| good	5.138 \| good	13.014 \| good	30.08 \| good	0.764 \| good	5.591 \| good	0.115 \| good
2026-05-13T13:00:00.000Z	28 \| good	4.963 \| good	14.239 \| good	29.825 \| good	0.764 \| good	6.819 \| good	0.117 \| good
2026-05-13T14:00:00.000Z	28 \| good	5.281 \| good	12.797 \| good	29.649 \| good	0.869 \| good	6.489 \| good	0.118 \| good
2026-05-13T15:00:00.000Z	27 \| good	4.854 \| good	12.419 \| good	29.3 \| good	0.772 \| good	8.978 \| good	0.113 \| good
2026-05-13T16:00:00.000Z	28 \| good	4.551 \| good	13.006 \| good	30.365 \| good	0.815 \| good	5.006 \| good	0.117 \| good
2026-05-13T17:00:00.000Z	29 \| good	4.406 \| good	11.21 \| good	30.674 \| good	0.769 \| good	7.281 \| good	0.122 \| good
2026-05-13T18:00:00.000Z	30 \| good	4.159 \| good	11.093 \| good	31.992 \| good	0.834 \| good	8.465 \| good	0.139 \| good
2026-05-13T19:00:00.000Z	30 \| good	4.074 \| good	9.255 \| good	31.718 \| good	0.706 \| good	4.968 \| good	0.197 \| good
2026-05-13T20:00:00.000Z	29 \| good	4.062 \| good	9.365 \| good	30.6 \| good	0.608 \| good	5.554 \| good	0.211 \| good
2026-05-13T21:00:00.000Z	27 \| good	3.924 \| good	10.335 \| good	29.317 \| good	0.608 \| good	6.16 \| good	0.2 \| good
2026-05-13T22:00:00.000Z	25 \| good	3.817 \| good	10.626 \| good	27.047 \| good	0.705 \| good	6.974 \| good	0.216 \| good
2026-05-13T23:00:00.000Z	26 \| good	3.876 \| good	8.272 \| good	27.544 \| good	0.708 \| good	4.855 \| good	0.224 \| good
2026-05-14T00:00:00.000Z	27 \| good	4.066 \| good	7.409 \| good	29.496 \| good	0.709 \| good	4.479 \| good	0.205 \| good
2026-05-14T01:00:00.000Z	26 \| good	3.671 \| good	5.443 \| good	28.203 \| good	0.657 \| good	3.256 \| good	0.167 \| good
2026-05-14T02:00:00.000Z	24 \| good	3.699 \| good	6.232 \| good	25.546 \| good	0.657 \| good	3.219 \| good	0.167 \| good
2026-05-14T03:00:00.000Z	26 \| good	3.4 \| good	9.93 \| good	27.618 \| good	0.608 \| good	1.982 \| good	0.15 \| good
2026-05-14T04:00:00.000Z	25 \| good	3.448 \| good	7.359 \| good	27.198 \| good	0.557 \| good	1.852 \| good	0.158 \| good
2026-05-14T05:00:00.000Z	22 \| good	3.334 \| good	11.71 \| good	24.452 \| good	0.6 \| good	1.887 \| good	0.172 \| good
2026-05-14T06:00:00.000Z	28 \| good	2.597 \| good	8.708 \| good	29.823 \| good	0.708 \| good	3.266 \| good	0.208 \| good
2026-05-14T07:00:00.000Z	23 \| good	2.611 \| good	7.184 \| good	24.92 \| good	0.813 \| good	6.404 \| good	0.177 \| good
2026-05-14T08:00:00.000Z	24 \| good	2.701 \| good	6.457 \| good	25.758 \| good	0.763 \| good	6.445 \| good	0.157 \| good
2026-05-14T09:00:00.000Z	27 \| good	2.751 \| good	7.293 \| good	29.222 \| good	0.653 \| good	4.739 \| good	0.13 \| good
2026-05-14T10:00:00.000Z	25 \| good	2.871 \| good	8.259 \| good	26.909 \| good	0.732 \| good	4.255 \| good	0.118 \| good
2026-05-14T11:00:00.000Z	27 \| good	2.88 \| good	11.664 \| good	28.675 \| good	0.654 \| good	3.417 \| good	0.118 \| good
2026-05-14T12:00:00.000Z	28 \| good	3.097 \| good	11.974 \| good	30.136 \| good	0.656 \| good	3.712 \| good	0.108 \| good
2026-05-14T12:00:00.000Z	26 \| good	2.971 \| good	9.841 \| good	28.4 \| good	0.658 \| good	7.339 \| good	0.108 \| good
2026-05-14T13:00:00.000Z	38 \| good	3.3 \| good	5.793 \| good	41.213 \| good	0.179 \| good	1.573 \| good	0.114 \| good
2026-05-14T14:00:00.000Z	38 \| good	3.179 \| good	5.568 \| good	41.19 \| good	0.155 \| good	1.676 \| good	0.115 \| good
2026-05-14T15:00:00.000Z	38 \| good	3.242 \| good	5.528 \| good	40.671 \| good	0.158 \| good	1.929 \| good	0.116 \| good
2026-05-14T16:00:00.000Z	37 \| good	3.007 \| good	5.086 \| good	40.315 \| good	0.168 \| good	2.251 \| good	0.118 \| good
2026-05-14T17:00:00.000Z	37 \| good	3.462 \| good	4.945 \| good	40.288 \| good	0.18 \| good	2.573 \| good	0.118 \| good
2026-05-14T18:00:00.000Z	36 \| good	3.514 \| good	5.256 \| good	39.391 \| good	0.239 \| good	3.051 \| good	0.121 \| good
2026-05-14T19:00:00.000Z	33 \| good	3.712 \| good	5.064 \| good	35.696 \| good	0.331 \| good	3.735 \| good	0.121 \| good
2026-05-14T20:00:00.000Z	30 \| good	4.454 \| good	5.654 \| good	32.111 \| good	0.367 \| good	5.275 \| good	0.128 \| good
2026-05-14T21:00:00.000Z	29 \| good	5.016 \| good	7.701 \| good	30.954 \| good	0.441 \| good	6.373 \| good	0.129 \| good
2026-05-14T22:00:00.000Z	28 \| good	5.4 \| good	8.699 \| good	30.067 \| good	0.479 \| good	5.597 \| good	0.127 \| good
2026-05-14T23:00:00.000Z	33 \| good	6.02 \| good	10.003 \| good	28.677 \| good	0.457 \| good	5.55 \| good	0.127 \| good
2026-05-15T00:00:00.000Z	38 \| good	6.787 \| good	10.672 \| good	29.005 \| good	0.402 \| good	4.962 \| good	0.125 \| good
2026-05-15T01:00:00.000Z	33 \| good	5.855 \| good	11.206 \| good	29.187 \| good	0.354 \| good	4.116 \| good	0.12 \| good
2026-05-15T02:00:00.000Z	33 \| good	5.898 \| good	10.307 \| good	28.616 \| good	0.294 \| good	3.283 \| good	0.118 \| good
2026-05-15T03:00:00.000Z	28 \| good	4.537 \| good	7.567 \| good	29.56 \| good	0.278 \| good	2.626 \| good	0.115 \| good
2026-05-15T04:00:00.000Z	26 \| good	3.441 \| good	6.338 \| good	28.181 \| good	0.304 \| good	2.401 \| good	0.116 \| good
2026-05-15T05:00:00.000Z	28 \| good	3.04 \| good	6.038 \| good	29.513 \| good	0.319 \| good	2.304 \| good	0.116 \| good
2026-05-15T06:00:00.000Z	29 \| good	2.942 \| good	6.003 \| good	30.975 \| good	0.309 \| good	2.829 \| good	0.118 \| good
2026-05-15T07:00:00.000Z	31 \| good	2.48 \| good	5.69 \| good	33.744 \| good	0.248 \| good	2.376 \| good	0.118 \| good
2026-05-15T08:00:00.000Z	34 \| good	2.429 \| good	5.843 \| good	37.055 \| good	0.211 \| good	1.983 \| good	0.117 \| good
2026-05-15T09:00:00.000Z	38 \| good	2.46 \| good	5.511 \| good	41.226 \| good	0.17 \| good	1.63 \| good	0.115 \| good
2026-05-15T10:00:00.000Z	40 \| good	2.545 \| good	5.588 \| good	43.46 \| good	0.159 \| good	1.349 \| good	0.114 \| good
2026-05-15T11:00:00.000Z	42 \| good	2.673 \| good	5.729 \| good	44.729 \| good	0.155 \| good	1.319 \| good	0.113 \| good
2026-05-15T12:00:00.000Z	42 \| good	2.676 \| good	5.882 \| good	45.235 \| good	0.143 \| good	1.324 \| good	0.113 \| good
2026-05-15T13:00:00.000Z	42 \| good	2.72 \| good	5.934 \| good	45.119 \| good	0.144 \| good	1.297 \| good	0.112 \| good
2026-05-15T14:00:00.000Z	43 \| good	2.775 \| good	6.113 \| good	45.629 \| good	0.144 \| good	1.294 \| good	0.113 \| good
2026-05-15T15:00:00.000Z	42 \| good	2.972 \| good	6.695 \| good	44.926 \| good	0.145 \| good	1.466 \| good	0.113 \| good
2026-05-15T16:00:00.000Z	41 \| good	3.378 \| good	7.115 \| good	43.617 \| good	0.156 \| good	1.675 \| good	0.114 \| good
2026-05-15T17:00:00.000Z	40 \| good	3.691 \| good	7.354 \| good	42.783 \| good	0.183 \| good	2.101 \| good	0.116 \| good
2026-05-15T18:00:00.000Z	40 \| good	3.802 \| good	7.806 \| good	42.599 \| good	0.203 \| good	2.568 \| good	0.118 \| good
2026-05-15T19:00:00.000Z	37 \| good	4.366 \| good	8.343 \| good	40.159 \| good	0.288 \| good	3.405 \| good	0.118 \| good
2026-05-15T20:00:00.000Z	34 \| good	4.561 \| good	8.667 \| good	36.926 \| good	0.408 \| good	4.593 \| good	0.122 \| good
2026-05-15T21:00:00.000Z	31 \| good	5.184 \| good	9.664 \| good	34.296 \| good	0.432 \| good	4.839 \| good	0.125 \| good
2026-05-15T22:00:00.000Z	33 \| good	6.316 \| good	9.791 \| good	31.335 \| good	0.406 \| good	5.429 \| good	0.129 \| good
2026-05-15T23:00:00.000Z	38 \| good	7.056 \| good	9.963 \| good	29.826 \| good	0.363 \| good	5.866 \| good	0.132 \| good
2026-05-16T00:00:00.000Z	38 \| good	7.437 \| good	10.353 \| good	28.757 \| good	0.33 \| good	6.103 \| good	0.133 \| good
2026-05-16T01:00:00.000Z	38 \| good	7.379 \| good	10.495 \| good	26.78 \| good	0.283 \| good	5.555 \| good	0.131 \| good
2026-05-16T02:00:00.000Z	38 \| good	6.925 \| good	10.405 \| good	26.301 \| good	0.274 \| good	4.813 \| good	0.129 \| good
2026-05-16T03:00:00.000Z	38 \| good	6.835 \| good	9.713 \| good	25.391 \| good	0.294 \| good	4.653 \| good	0.126 \| good
2026-05-16T04:00:00.000Z	44 \| good	7.987 \| good	10.576 \| good	24.912 \| good	0.335 \| good	5.065 \| good	0.124 \| good
2026-05-16T05:00:00.000Z	38 \| good	6.636 \| good	9.926 \| good	26.124 \| good	0.35 \| good	4.593 \| good	0.118 \| good
2026-05-16T06:00:00.000Z	28 \| good	4.03 \| good	7.39 \| good	29.679 \| good	0.303 \| good	3.122 \| good	0.116 \| good
2026-05-16T07:00:00.000Z	30 \| good	3.201 \| good	6.121 \| good	31.739 \| good	0.217 \| good	2.134 \| good	0.116 \| good
2026-05-16T08:00:00.000Z	31 \| good	3.104 \| good	5.487 \| good	33.623 \| good	0.191 \| good	1.709 \| good	0.115 \| good
2026-05-16T09:00:00.000Z	33 \| good	2.538 \| good	4.768 \| good	36.042 \| good	0.171 \| good	1.242 \| good	0.112 \| good
2026-05-16T10:00:00.000Z	35 \| good	2.301 \| good	4.541 \| good	38.332 \| good	0.138 \| good	1.159 \| good	0.112 \| good
2026-05-16T11:00:00.000Z	37 \| good	2.853 \| good	4.505 \| good	39.951 \| good	0.134 \| good	1.093 \| good	0.112 \| good
2026-05-16T12:00:00.000Z	39 \| good	3.412 \| good	4.754 \| good	41.797 \| good	0.132 \| good	1.146 \| good	0.112 \| good

Belper, Derbyshire live air quality index now

Major air pollutants in Belper, Derbyshire

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Belper, Derbyshire air quality forecast and history

Get reliable air quality data to drive your business

Belper, Derbyshire air quality map: Track AQI near you

Air quality in nearby cities

Ripley, Derbyshire

Heanor, Derbyshire

Somercotes, Derbyshire

Eastwood, Nottinghamshire

Ilkeston, Derbyshire

South Normanton, Derbyshire

How accurate is Derbyshire, UK air quality data?

Air quality levels in UK

Frequently asked questions

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

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

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

What is the current air quality in Belper, Derbyshire?

What pollutant is the most common in Belper, Derbyshire?

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

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

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

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

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

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

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

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

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

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

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