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

The current PM10 concentration at Chesterfield, Derbyshire is 6.664 μg/m3.

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

The current sulfur dioxide (SO2) concentration at Chesterfield, Derbyshire is 0.471 ppb.

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

The current ozone (O3) concentration at Chesterfield, Derbyshire is 23.424 ppm.

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

The current nitrogen dioxide (NO2) concentration at Chesterfield, Derbyshire is 4.296 ppb.

Chesterfield, Derbyshire live air quality index now

Name: Live air pollution levels in Chesterfield, Derbyshire today
Creator: Ambee

Stay updated with real-time air quality in Chesterfield, 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

Chesterfield, Derbyshire

Last updated: ... (Local time)

Major air pollutants in Chesterfield, Derbyshire

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

1.01 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

2.69 μg/m³

155

255

425

605+

Ozone (O₃)

28.04 ppb

201

201+

Sulfur Dioxide (SO₂)

0.45 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

1.07 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.25 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Chesterfield, Derbyshire

Get Live Pollen Counts

Chesterfield, Derbyshire

Scroll To Air Quality Map

Track live Chesterfield, Derbyshire air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-09-16T04:00:00.000Z	26 \| good	3.909 \| good	7.816 \| good	28.481 \| good	0.579 \| good	0.853 \| good	0.268 \| good
2025-09-16T05:00:00.000Z	26 \| good	4.108 \| good	8.015 \| good	28.488 \| good	0.445 \| good	0.956 \| good	0.271 \| good
2025-09-16T06:00:00.000Z	27 \| good	4.398 \| good	7.758 \| good	28.763 \| good	0.382 \| good	1.073 \| good	0.085 \| good
2025-09-16T07:00:00.000Z	27 \| good	4.798 \| good	8.157 \| good	28.513 \| good	0.382 \| good	1.892 \| good	0.091 \| good
2025-09-16T08:00:00.000Z	27 \| good	5.031 \| good	8.757 \| good	28.694 \| good	0.382 \| good	3.57 \| good	0.084 \| good
2025-09-16T09:00:00.000Z	33 \| good	5.83 \| good	9.488 \| good	28.863 \| good	0.573 \| good	4.654 \| good	0.08 \| good
2025-09-16T10:00:00.000Z	33 \| good	5.83 \| good	9.488 \| good	28.976 \| good	0.571 \| good	4.145 \| good	0.094 \| good
2025-09-16T11:00:00.000Z	26 \| good	3.132 \| good	7.654 \| good	28.316 \| good	0.509 \| good	4.406 \| good	0.077 \| good
2025-09-16T12:00:00.000Z	27 \| good	3.159 \| good	7.989 \| good	28.809 \| good	0.58 \| good	3.578 \| good	0.071 \| good
2025-09-16T13:00:00.000Z	27 \| good	3.131 \| good	7.571 \| good	29.148 \| good	0.622 \| good	3.35 \| good	0.069 \| good
2025-09-16T14:00:00.000Z	27 \| good	3.132 \| good	7.044 \| good	28.672 \| good	0.382 \| good	3.105 \| good	0.07 \| good
2025-09-16T15:00:00.000Z	27 \| good	3.164 \| good	7.837 \| good	29.014 \| good	0.538 \| good	3.688 \| good	0.072 \| good
2025-09-16T16:00:00.000Z	27 \| good	3.15 \| good	7.594 \| good	29.154 \| good	0.448 \| good	4.299 \| good	0.068 \| good
2025-09-16T17:00:00.000Z	28 \| good	3.178 \| good	8.191 \| good	29.797 \| good	0.493 \| good	5.441 \| good	0.069 \| good
2025-09-16T18:00:00.000Z	28 \| good	3.11 \| good	7.413 \| good	30.144 \| good	0.493 \| good	5.16 \| good	0.076 \| good
2025-09-16T19:00:00.000Z	29 \| good	3.152 \| good	7.016 \| good	30.552 \| good	0.447 \| good	6.045 \| good	0.08 \| good
2025-09-16T20:00:00.000Z	28 \| good	3.18 \| good	8.229 \| good	30.095 \| good	0.492 \| good	7.095 \| good	0.079 \| good
2025-09-16T21:00:00.000Z	27 \| good	3.193 \| good	8.692 \| good	29.239 \| good	0.421 \| good	8.202 \| good	0.079 \| good
2025-09-16T22:00:00.000Z	26 \| good	3.449 \| good	8.988 \| good	28.44 \| good	0.382 \| good	9.493 \| good	0.065 \| good
2025-09-16T23:00:00.000Z	25 \| good	3.305 \| good	9.367 \| good	27.085 \| good	0.382 \| good	7.491 \| good	0.067 \| good
2025-09-17T00:00:00.000Z	24 \| good	3.293 \| good	10.016 \| good	26.043 \| good	0.451 \| good	5.778 \| good	0.265 \| good
2025-09-17T01:00:00.000Z	23 \| good	3.311 \| good	8.854 \| good	24.568 \| good	0.447 \| good	4.622 \| good	0.319 \| good
2025-09-17T02:00:00.000Z	22 \| good	3.368 \| good	8.382 \| good	23.936 \| good	0.445 \| good	2.935 \| good	0.247 \| good
2025-09-17T03:00:00.000Z	22 \| good	3.438 \| good	9.732 \| good	23.885 \| good	0.446 \| good	2.935 \| good	0.243 \| good
2025-09-17T04:00:00.000Z	20 \| good	3.304 \| good	9.991 \| good	22.372 \| good	0.382 \| good	2.176 \| good	0.242 \| good
2025-09-17T05:00:00.000Z	20 \| good	3.445 \| good	10.059 \| good	21.626 \| good	0.382 \| good	3.07 \| good	0.25 \| good
2025-09-17T06:00:00.000Z	20 \| good	3.485 \| good	9.894 \| good	21.525 \| good	0.394 \| good	4.283 \| good	0.065 \| good
2025-09-17T07:00:00.000Z	20 \| good	3.398 \| good	10.337 \| good	21.551 \| good	0.484 \| good	5.482 \| good	0.071 \| good
2025-09-17T08:00:00.000Z	20 \| good	3.471 \| good	9.621 \| good	21.51 \| good	0.465 \| good	5.972 \| good	0.067 \| good
2025-09-17T09:00:00.000Z	22 \| good	3.711 \| good	11.848 \| good	21.457 \| good	0.53 \| good	8.694 \| good	0.063 \| good
2025-09-17T10:00:00.000Z	22 \| good	3.834 \| good	12.221 \| good	21.667 \| good	0.637 \| good	9.224 \| good	0.061 \| good
2025-09-17T11:00:00.000Z	22 \| good	3.652 \| good	10.834 \| good	21.269 \| good	0.636 \| good	8.212 \| good	0.078 \| good
2025-09-17T12:00:00.000Z	22 \| good	3.693 \| good	11.811 \| good	20.862 \| good	1.115 \| good	6.474 \| good	0.062 \| good
2025-09-17T13:00:00.000Z	19 \| good	2.844 \| good	10.972 \| good	21.062 \| good	1.117 \| good	4.809 \| good	0.064 \| good
2025-09-17T14:00:00.000Z	22 \| good	3.56 \| good	7.803 \| good	21.797 \| good	0.763 \| good	4.07 \| good	0.061 \| good
2025-09-17T15:00:00.000Z	20 \| good	2.987 \| good	7.83 \| good	22.086 \| good	0.7 \| good	3.056 \| good	0.061 \| good
2025-09-17T16:00:00.000Z	21 \| good	2.516 \| good	10.234 \| good	22.804 \| good	0.572 \| good	3.081 \| good	0.062 \| good
2025-09-17T17:00:00.000Z	22 \| good	2.529 \| good	7.54 \| good	23.903 \| good	0.5 \| good	3.206 \| good	0.068 \| good
2025-09-17T18:00:00.000Z	23 \| good	2.521 \| good	6.773 \| good	25.207 \| good	0.438 \| good	4.043 \| good	0.066 \| good
2025-09-17T19:00:00.000Z	24 \| good	2.583 \| good	7.227 \| good	25.92 \| good	0.498 \| good	3.517 \| good	0.065 \| good
2025-09-17T20:00:00.000Z	25 \| good	2.591 \| good	6.689 \| good	26.576 \| good	0.436 \| good	3.476 \| good	0.068 \| good
2025-09-17T21:00:00.000Z	24 \| good	2.369 \| good	6.381 \| good	26.302 \| good	0.458 \| good	3.747 \| good	0.077 \| good
2025-09-17T22:00:00.000Z	25 \| good	2.435 \| good	5.647 \| good	26.929 \| good	0.459 \| good	3.181 \| good	0.048 \| good
2025-09-17T23:00:00.000Z	25 \| good	2.03 \| good	5.424 \| good	27.011 \| good	0.459 \| good	2.941 \| good	0.047 \| good
2025-09-18T00:00:00.000Z	25 \| good	1.564 \| good	5.208 \| good	27.004 \| good	0.458 \| good	2.497 \| good	0.262 \| good
2025-09-18T01:00:00.000Z	25 \| good	1.552 \| good	7.9 \| good	27.482 \| good	0.458 \| good	1.74 \| good	0.2 \| good
2025-09-18T02:00:00.000Z	25 \| good	1.513 \| good	7.368 \| good	27.035 \| good	0.445 \| good	1.455 \| good	0.247 \| good
2025-09-18T03:00:00.000Z	26 \| good	1.011 \| good	2.692 \| good	28.035 \| good	0.445 \| good	1.071 \| good	0.247 \| good
2025-09-17T10:00:00.000Z	27 \| good	2.866 \| good	3.386 \| good	28.868 \| good	0.117 \| good	4.156 \| good	0.122 \| good
2025-09-17T11:00:00.000Z	28 \| good	2.628 \| good	3.802 \| good	30.231 \| good	0.077 \| good	2.778 \| good	0.12 \| good
2025-09-17T12:00:00.000Z	28 \| good	2.526 \| good	3.677 \| good	30.219 \| good	0.063 \| good	2.115 \| good	0.115 \| good
2025-09-17T13:00:00.000Z	29 \| good	2.126 \| good	5.408 \| good	30.519 \| good	0.068 \| good	1.31 \| good	0.109 \| good
2025-09-17T14:00:00.000Z	30 \| good	2.943 \| good	6.301 \| good	31.527 \| good	0.065 \| good	1.051 \| good	0.105 \| good
2025-09-17T15:00:00.000Z	30 \| good	3.427 \| good	5.673 \| good	32.209 \| good	0.065 \| good	1.16 \| good	0.103 \| good
2025-09-17T16:00:00.000Z	30 \| good	3.704 \| good	5.985 \| good	31.991 \| good	0.069 \| good	1.477 \| good	0.102 \| good
2025-09-17T17:00:00.000Z	29 \| good	3.701 \| good	6.523 \| good	31.137 \| good	0.086 \| good	2.102 \| good	0.103 \| good
2025-09-17T18:00:00.000Z	29 \| good	3.585 \| good	6.463 \| good	31.431 \| good	0.104 \| good	2.441 \| good	0.105 \| good
2025-09-17T19:00:00.000Z	29 \| good	3.908 \| good	6.625 \| good	30.735 \| good	0.12 \| good	2.342 \| good	0.105 \| good
2025-09-17T20:00:00.000Z	29 \| good	4.122 \| good	7.29 \| good	31.142 \| good	0.119 \| good	2.101 \| good	0.106 \| good
2025-09-17T21:00:00.000Z	29 \| good	4.073 \| good	7.757 \| good	31.055 \| good	0.122 \| good	1.939 \| good	0.107 \| good
2025-09-17T22:00:00.000Z	30 \| good	4.096 \| good	7.604 \| good	32.001 \| good	0.116 \| good	1.87 \| good	0.107 \| good
2025-09-17T23:00:00.000Z	30 \| good	3.909 \| good	7.275 \| good	32.328 \| good	0.091 \| good	1.837 \| good	0.108 \| good
2025-09-18T00:00:00.000Z	30 \| good	3.845 \| good	7.086 \| good	32.474 \| good	0.07 \| good	1.616 \| good	0.109 \| good
2025-09-18T01:00:00.000Z	29 \| good	3.718 \| good	6.929 \| good	30.837 \| good	0.055 \| good	1.598 \| good	0.109 \| good
2025-09-18T02:00:00.000Z	27 \| good	3.556 \| good	6.192 \| good	28.667 \| good	0.053 \| good	1.53 \| good	0.108 \| good
2025-09-18T03:00:00.000Z	25 \| good	3.875 \| good	5.613 \| good	27.291 \| good	0.043 \| good	1.546 \| good	0.108 \| good
2025-09-18T04:00:00.000Z	23 \| good	3.14 \| good	5.45 \| good	24.73 \| good	0.037 \| good	1.776 \| good	0.105 \| good
2025-09-18T05:00:00.000Z	22 \| good	3.128 \| good	5.273 \| good	23.963 \| good	0.063 \| good	1.749 \| good	0.102 \| good
2025-09-18T06:00:00.000Z	23 \| good	3.38 \| good	5.274 \| good	24.826 \| good	0.091 \| good	2.105 \| good	0.102 \| good
2025-09-18T07:00:00.000Z	24 \| good	3.321 \| good	6.126 \| good	26.164 \| good	0.107 \| good	2.669 \| good	0.104 \| good
2025-09-18T08:00:00.000Z	24 \| good	3.075 \| good	5.517 \| good	25.741 \| good	0.101 \| good	2.393 \| good	0.103 \| good
2025-09-18T09:00:00.000Z	26 \| good	2.743 \| good	5.048 \| good	27.827 \| good	0.09 \| good	1.932 \| good	0.103 \| good
2025-09-18T10:00:00.000Z	27 \| good	2.73 \| good	5.211 \| good	29.138 \| good	0.065 \| good	1.499 \| good	0.103 \| good
2025-09-18T11:00:00.000Z	27 \| good	2.808 \| good	5.231 \| good	28.798 \| good	0.056 \| good	1.365 \| good	0.101 \| good
2025-09-18T12:00:00.000Z	26 \| good	2.667 \| good	5.48 \| good	28.12 \| good	0.059 \| good	1.36 \| good	0.1 \| good
2025-09-18T13:00:00.000Z	25 \| good	2.534 \| good	5.449 \| good	26.947 \| good	0.055 \| good	1.32 \| good	0.101 \| good
2025-09-18T14:00:00.000Z	25 \| good	2.604 \| good	5.183 \| good	27.454 \| good	0.056 \| good	1.295 \| good	0.101 \| good
2025-09-18T15:00:00.000Z	26 \| good	2.464 \| good	5.411 \| good	27.824 \| good	0.049 \| good	1.471 \| good	0.101 \| good
2025-09-18T16:00:00.000Z	26 \| good	2.313 \| good	5.681 \| good	28.001 \| good	0.054 \| good	1.825 \| good	0.1 \| good
2025-09-18T17:00:00.000Z	26 \| good	2.201 \| good	5.5 \| good	28.377 \| good	0.072 \| good	2.132 \| good	0.101 \| good
2025-09-18T18:00:00.000Z	26 \| good	2.306 \| good	5.327 \| good	27.946 \| good	0.092 \| good	2.394 \| good	0.103 \| good
2025-09-18T19:00:00.000Z	26 \| good	2.431 \| good	5.293 \| good	28.007 \| good	0.104 \| good	2.24 \| good	0.102 \| good
2025-09-18T20:00:00.000Z	27 \| good	2.697 \| good	5.332 \| good	29.053 \| good	0.097 \| good	2.004 \| good	0.101 \| good
2025-09-18T21:00:00.000Z	27 \| good	2.718 \| good	5.238 \| good	28.686 \| good	0.078 \| good	1.726 \| good	0.098 \| good
2025-09-18T22:00:00.000Z	26 \| good	2.759 \| good	4.765 \| good	28.368 \| good	0.06 \| good	1.545 \| good	0.097 \| good
2025-09-18T23:00:00.000Z	26 \| good	2.973 \| good	4.21 \| good	28.318 \| good	0.04 \| good	1.365 \| good	0.096 \| good
2025-09-19T00:00:00.000Z	24 \| good	2.907 \| good	4.533 \| good	26.497 \| good	0.057 \| good	1.294 \| good	0.098 \| good
2025-09-19T01:00:00.000Z	24 \| good	2.631 \| good	4.622 \| good	26.348 \| good	0.044 \| good	1.324 \| good	0.099 \| good
2025-09-19T02:00:00.000Z	24 \| good	2.717 \| good	4.815 \| good	26.185 \| good	0.049 \| good	1.34 \| good	0.099 \| good
2025-09-19T03:00:00.000Z	25 \| good	3.047 \| good	5.21 \| good	26.505 \| good	0.046 \| good	1.498 \| good	0.098 \| good
2025-09-19T04:00:00.000Z	25 \| good	3.212 \| good	5.857 \| good	26.714 \| good	0.05 \| good	1.548 \| good	0.098 \| good
2025-09-19T05:00:00.000Z	25 \| good	3.277 \| good	5.461 \| good	26.672 \| good	0.07 \| good	1.61 \| good	0.097 \| good
2025-09-19T06:00:00.000Z	24 \| good	3.416 \| good	5.463 \| good	26.243 \| good	0.106 \| good	2.124 \| good	0.099 \| good
2025-09-19T07:00:00.000Z	22 \| good	3.722 \| good	5.892 \| good	24.084 \| good	0.133 \| good	3.197 \| good	0.103 \| good
2025-09-19T08:00:00.000Z	22 \| good	3.938 \| good	6.1 \| good	22.681 \| good	0.134 \| good	4.033 \| good	0.104 \| good
2025-09-19T09:00:00.000Z	23 \| good	4.036 \| good	6.216 \| good	25.033 \| good	0.113 \| good	4.099 \| good	0.109 \| good

Chesterfield

Get reliable air quality data to drive your business

Chesterfield, Derbyshire air quality map: Track AQI near you

0.06ppm

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 Chesterfield, Derbyshire updated?

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

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

The worst air quality in Chesterfield, Derbyshire in the last 24 hours was observed at 09:00:00 on 2025-09-16.

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

In the last 24 hrs, the best air quality in Chesterfield, Derbyshire was observed at 08:00:00 on 2025-09-17.

What is the current air quality in Chesterfield, Derbyshire?

The current air quality in Chesterfield, Derbyshire is 21, categorized as Good based on real-time data.

What pollutant is the most common in Chesterfield, Derbyshire?

The most common pollutant in Chesterfield, Derbyshire is O3.

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

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

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

The current PM_2.5 concentration at Chesterfield, Derbyshire is 3.01 μg/m³.

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

The current PM₁₀ concentration at Chesterfield, Derbyshire is 6.664 μg/m³.

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

The current carbon monoxide (CO) concentration at Chesterfield, Derbyshire is 0.066 ppm.

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

The current sulfur dioxide (SO₂) concentration at Chesterfield, Derbyshire is 0.471 ppb.

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

The current ozone (O₃) concentration at Chesterfield, Derbyshire is 23.424 ppm.

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

The current nitrogen dioxide (NO₂) concentration at Chesterfield, Derbyshire is 4.296 ppb.

Certified

APIs

Refund Policy

Historical Climate Data

Terms & Conditions

Refund Policy

Terms & Conditions

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-09-16T04:00:00.000Z	26 \| good	3.909 \| good	7.816 \| good	28.481 \| good	0.579 \| good	0.853 \| good	0.268 \| good
2025-09-16T05:00:00.000Z	26 \| good	4.108 \| good	8.015 \| good	28.488 \| good	0.445 \| good	0.956 \| good	0.271 \| good
2025-09-16T06:00:00.000Z	27 \| good	4.398 \| good	7.758 \| good	28.763 \| good	0.382 \| good	1.073 \| good	0.085 \| good
2025-09-16T07:00:00.000Z	27 \| good	4.798 \| good	8.157 \| good	28.513 \| good	0.382 \| good	1.892 \| good	0.091 \| good
2025-09-16T08:00:00.000Z	27 \| good	5.031 \| good	8.757 \| good	28.694 \| good	0.382 \| good	3.57 \| good	0.084 \| good
2025-09-16T09:00:00.000Z	33 \| good	5.83 \| good	9.488 \| good	28.863 \| good	0.573 \| good	4.654 \| good	0.08 \| good
2025-09-16T10:00:00.000Z	33 \| good	5.83 \| good	9.488 \| good	28.976 \| good	0.571 \| good	4.145 \| good	0.094 \| good
2025-09-16T11:00:00.000Z	26 \| good	3.132 \| good	7.654 \| good	28.316 \| good	0.509 \| good	4.406 \| good	0.077 \| good
2025-09-16T12:00:00.000Z	27 \| good	3.159 \| good	7.989 \| good	28.809 \| good	0.58 \| good	3.578 \| good	0.071 \| good
2025-09-16T13:00:00.000Z	27 \| good	3.131 \| good	7.571 \| good	29.148 \| good	0.622 \| good	3.35 \| good	0.069 \| good
2025-09-16T14:00:00.000Z	27 \| good	3.132 \| good	7.044 \| good	28.672 \| good	0.382 \| good	3.105 \| good	0.07 \| good
2025-09-16T15:00:00.000Z	27 \| good	3.164 \| good	7.837 \| good	29.014 \| good	0.538 \| good	3.688 \| good	0.072 \| good
2025-09-16T16:00:00.000Z	27 \| good	3.15 \| good	7.594 \| good	29.154 \| good	0.448 \| good	4.299 \| good	0.068 \| good
2025-09-16T17:00:00.000Z	28 \| good	3.178 \| good	8.191 \| good	29.797 \| good	0.493 \| good	5.441 \| good	0.069 \| good
2025-09-16T18:00:00.000Z	28 \| good	3.11 \| good	7.413 \| good	30.144 \| good	0.493 \| good	5.16 \| good	0.076 \| good
2025-09-16T19:00:00.000Z	29 \| good	3.152 \| good	7.016 \| good	30.552 \| good	0.447 \| good	6.045 \| good	0.08 \| good
2025-09-16T20:00:00.000Z	28 \| good	3.18 \| good	8.229 \| good	30.095 \| good	0.492 \| good	7.095 \| good	0.079 \| good
2025-09-16T21:00:00.000Z	27 \| good	3.193 \| good	8.692 \| good	29.239 \| good	0.421 \| good	8.202 \| good	0.079 \| good
2025-09-16T22:00:00.000Z	26 \| good	3.449 \| good	8.988 \| good	28.44 \| good	0.382 \| good	9.493 \| good	0.065 \| good
2025-09-16T23:00:00.000Z	25 \| good	3.305 \| good	9.367 \| good	27.085 \| good	0.382 \| good	7.491 \| good	0.067 \| good
2025-09-17T00:00:00.000Z	24 \| good	3.293 \| good	10.016 \| good	26.043 \| good	0.451 \| good	5.778 \| good	0.265 \| good
2025-09-17T01:00:00.000Z	23 \| good	3.311 \| good	8.854 \| good	24.568 \| good	0.447 \| good	4.622 \| good	0.319 \| good
2025-09-17T02:00:00.000Z	22 \| good	3.368 \| good	8.382 \| good	23.936 \| good	0.445 \| good	2.935 \| good	0.247 \| good
2025-09-17T03:00:00.000Z	22 \| good	3.438 \| good	9.732 \| good	23.885 \| good	0.446 \| good	2.935 \| good	0.243 \| good
2025-09-17T04:00:00.000Z	20 \| good	3.304 \| good	9.991 \| good	22.372 \| good	0.382 \| good	2.176 \| good	0.242 \| good
2025-09-17T05:00:00.000Z	20 \| good	3.445 \| good	10.059 \| good	21.626 \| good	0.382 \| good	3.07 \| good	0.25 \| good
2025-09-17T06:00:00.000Z	20 \| good	3.485 \| good	9.894 \| good	21.525 \| good	0.394 \| good	4.283 \| good	0.065 \| good
2025-09-17T07:00:00.000Z	20 \| good	3.398 \| good	10.337 \| good	21.551 \| good	0.484 \| good	5.482 \| good	0.071 \| good
2025-09-17T08:00:00.000Z	20 \| good	3.471 \| good	9.621 \| good	21.51 \| good	0.465 \| good	5.972 \| good	0.067 \| good
2025-09-17T09:00:00.000Z	22 \| good	3.711 \| good	11.848 \| good	21.457 \| good	0.53 \| good	8.694 \| good	0.063 \| good
2025-09-17T10:00:00.000Z	22 \| good	3.834 \| good	12.221 \| good	21.667 \| good	0.637 \| good	9.224 \| good	0.061 \| good
2025-09-17T11:00:00.000Z	22 \| good	3.652 \| good	10.834 \| good	21.269 \| good	0.636 \| good	8.212 \| good	0.078 \| good
2025-09-17T12:00:00.000Z	22 \| good	3.693 \| good	11.811 \| good	20.862 \| good	1.115 \| good	6.474 \| good	0.062 \| good
2025-09-17T13:00:00.000Z	19 \| good	2.844 \| good	10.972 \| good	21.062 \| good	1.117 \| good	4.809 \| good	0.064 \| good
2025-09-17T14:00:00.000Z	22 \| good	3.56 \| good	7.803 \| good	21.797 \| good	0.763 \| good	4.07 \| good	0.061 \| good
2025-09-17T15:00:00.000Z	20 \| good	2.987 \| good	7.83 \| good	22.086 \| good	0.7 \| good	3.056 \| good	0.061 \| good
2025-09-17T16:00:00.000Z	21 \| good	2.516 \| good	10.234 \| good	22.804 \| good	0.572 \| good	3.081 \| good	0.062 \| good
2025-09-17T17:00:00.000Z	22 \| good	2.529 \| good	7.54 \| good	23.903 \| good	0.5 \| good	3.206 \| good	0.068 \| good
2025-09-17T18:00:00.000Z	23 \| good	2.521 \| good	6.773 \| good	25.207 \| good	0.438 \| good	4.043 \| good	0.066 \| good
2025-09-17T19:00:00.000Z	24 \| good	2.583 \| good	7.227 \| good	25.92 \| good	0.498 \| good	3.517 \| good	0.065 \| good
2025-09-17T20:00:00.000Z	25 \| good	2.591 \| good	6.689 \| good	26.576 \| good	0.436 \| good	3.476 \| good	0.068 \| good
2025-09-17T21:00:00.000Z	24 \| good	2.369 \| good	6.381 \| good	26.302 \| good	0.458 \| good	3.747 \| good	0.077 \| good
2025-09-17T22:00:00.000Z	25 \| good	2.435 \| good	5.647 \| good	26.929 \| good	0.459 \| good	3.181 \| good	0.048 \| good
2025-09-17T23:00:00.000Z	25 \| good	2.03 \| good	5.424 \| good	27.011 \| good	0.459 \| good	2.941 \| good	0.047 \| good
2025-09-18T00:00:00.000Z	25 \| good	1.564 \| good	5.208 \| good	27.004 \| good	0.458 \| good	2.497 \| good	0.262 \| good
2025-09-18T01:00:00.000Z	25 \| good	1.552 \| good	7.9 \| good	27.482 \| good	0.458 \| good	1.74 \| good	0.2 \| good
2025-09-18T02:00:00.000Z	25 \| good	1.513 \| good	7.368 \| good	27.035 \| good	0.445 \| good	1.455 \| good	0.247 \| good
2025-09-18T03:00:00.000Z	26 \| good	1.011 \| good	2.692 \| good	28.035 \| good	0.445 \| good	1.071 \| good	0.247 \| good
2025-09-17T10:00:00.000Z	27 \| good	2.866 \| good	3.386 \| good	28.868 \| good	0.117 \| good	4.156 \| good	0.122 \| good
2025-09-17T11:00:00.000Z	28 \| good	2.628 \| good	3.802 \| good	30.231 \| good	0.077 \| good	2.778 \| good	0.12 \| good
2025-09-17T12:00:00.000Z	28 \| good	2.526 \| good	3.677 \| good	30.219 \| good	0.063 \| good	2.115 \| good	0.115 \| good
2025-09-17T13:00:00.000Z	29 \| good	2.126 \| good	5.408 \| good	30.519 \| good	0.068 \| good	1.31 \| good	0.109 \| good
2025-09-17T14:00:00.000Z	30 \| good	2.943 \| good	6.301 \| good	31.527 \| good	0.065 \| good	1.051 \| good	0.105 \| good
2025-09-17T15:00:00.000Z	30 \| good	3.427 \| good	5.673 \| good	32.209 \| good	0.065 \| good	1.16 \| good	0.103 \| good
2025-09-17T16:00:00.000Z	30 \| good	3.704 \| good	5.985 \| good	31.991 \| good	0.069 \| good	1.477 \| good	0.102 \| good
2025-09-17T17:00:00.000Z	29 \| good	3.701 \| good	6.523 \| good	31.137 \| good	0.086 \| good	2.102 \| good	0.103 \| good
2025-09-17T18:00:00.000Z	29 \| good	3.585 \| good	6.463 \| good	31.431 \| good	0.104 \| good	2.441 \| good	0.105 \| good
2025-09-17T19:00:00.000Z	29 \| good	3.908 \| good	6.625 \| good	30.735 \| good	0.12 \| good	2.342 \| good	0.105 \| good
2025-09-17T20:00:00.000Z	29 \| good	4.122 \| good	7.29 \| good	31.142 \| good	0.119 \| good	2.101 \| good	0.106 \| good
2025-09-17T21:00:00.000Z	29 \| good	4.073 \| good	7.757 \| good	31.055 \| good	0.122 \| good	1.939 \| good	0.107 \| good
2025-09-17T22:00:00.000Z	30 \| good	4.096 \| good	7.604 \| good	32.001 \| good	0.116 \| good	1.87 \| good	0.107 \| good
2025-09-17T23:00:00.000Z	30 \| good	3.909 \| good	7.275 \| good	32.328 \| good	0.091 \| good	1.837 \| good	0.108 \| good
2025-09-18T00:00:00.000Z	30 \| good	3.845 \| good	7.086 \| good	32.474 \| good	0.07 \| good	1.616 \| good	0.109 \| good
2025-09-18T01:00:00.000Z	29 \| good	3.718 \| good	6.929 \| good	30.837 \| good	0.055 \| good	1.598 \| good	0.109 \| good
2025-09-18T02:00:00.000Z	27 \| good	3.556 \| good	6.192 \| good	28.667 \| good	0.053 \| good	1.53 \| good	0.108 \| good
2025-09-18T03:00:00.000Z	25 \| good	3.875 \| good	5.613 \| good	27.291 \| good	0.043 \| good	1.546 \| good	0.108 \| good
2025-09-18T04:00:00.000Z	23 \| good	3.14 \| good	5.45 \| good	24.73 \| good	0.037 \| good	1.776 \| good	0.105 \| good
2025-09-18T05:00:00.000Z	22 \| good	3.128 \| good	5.273 \| good	23.963 \| good	0.063 \| good	1.749 \| good	0.102 \| good
2025-09-18T06:00:00.000Z	23 \| good	3.38 \| good	5.274 \| good	24.826 \| good	0.091 \| good	2.105 \| good	0.102 \| good
2025-09-18T07:00:00.000Z	24 \| good	3.321 \| good	6.126 \| good	26.164 \| good	0.107 \| good	2.669 \| good	0.104 \| good
2025-09-18T08:00:00.000Z	24 \| good	3.075 \| good	5.517 \| good	25.741 \| good	0.101 \| good	2.393 \| good	0.103 \| good
2025-09-18T09:00:00.000Z	26 \| good	2.743 \| good	5.048 \| good	27.827 \| good	0.09 \| good	1.932 \| good	0.103 \| good
2025-09-18T10:00:00.000Z	27 \| good	2.73 \| good	5.211 \| good	29.138 \| good	0.065 \| good	1.499 \| good	0.103 \| good
2025-09-18T11:00:00.000Z	27 \| good	2.808 \| good	5.231 \| good	28.798 \| good	0.056 \| good	1.365 \| good	0.101 \| good
2025-09-18T12:00:00.000Z	26 \| good	2.667 \| good	5.48 \| good	28.12 \| good	0.059 \| good	1.36 \| good	0.1 \| good
2025-09-18T13:00:00.000Z	25 \| good	2.534 \| good	5.449 \| good	26.947 \| good	0.055 \| good	1.32 \| good	0.101 \| good
2025-09-18T14:00:00.000Z	25 \| good	2.604 \| good	5.183 \| good	27.454 \| good	0.056 \| good	1.295 \| good	0.101 \| good
2025-09-18T15:00:00.000Z	26 \| good	2.464 \| good	5.411 \| good	27.824 \| good	0.049 \| good	1.471 \| good	0.101 \| good
2025-09-18T16:00:00.000Z	26 \| good	2.313 \| good	5.681 \| good	28.001 \| good	0.054 \| good	1.825 \| good	0.1 \| good
2025-09-18T17:00:00.000Z	26 \| good	2.201 \| good	5.5 \| good	28.377 \| good	0.072 \| good	2.132 \| good	0.101 \| good
2025-09-18T18:00:00.000Z	26 \| good	2.306 \| good	5.327 \| good	27.946 \| good	0.092 \| good	2.394 \| good	0.103 \| good
2025-09-18T19:00:00.000Z	26 \| good	2.431 \| good	5.293 \| good	28.007 \| good	0.104 \| good	2.24 \| good	0.102 \| good
2025-09-18T20:00:00.000Z	27 \| good	2.697 \| good	5.332 \| good	29.053 \| good	0.097 \| good	2.004 \| good	0.101 \| good
2025-09-18T21:00:00.000Z	27 \| good	2.718 \| good	5.238 \| good	28.686 \| good	0.078 \| good	1.726 \| good	0.098 \| good
2025-09-18T22:00:00.000Z	26 \| good	2.759 \| good	4.765 \| good	28.368 \| good	0.06 \| good	1.545 \| good	0.097 \| good
2025-09-18T23:00:00.000Z	26 \| good	2.973 \| good	4.21 \| good	28.318 \| good	0.04 \| good	1.365 \| good	0.096 \| good
2025-09-19T00:00:00.000Z	24 \| good	2.907 \| good	4.533 \| good	26.497 \| good	0.057 \| good	1.294 \| good	0.098 \| good
2025-09-19T01:00:00.000Z	24 \| good	2.631 \| good	4.622 \| good	26.348 \| good	0.044 \| good	1.324 \| good	0.099 \| good
2025-09-19T02:00:00.000Z	24 \| good	2.717 \| good	4.815 \| good	26.185 \| good	0.049 \| good	1.34 \| good	0.099 \| good
2025-09-19T03:00:00.000Z	25 \| good	3.047 \| good	5.21 \| good	26.505 \| good	0.046 \| good	1.498 \| good	0.098 \| good
2025-09-19T04:00:00.000Z	25 \| good	3.212 \| good	5.857 \| good	26.714 \| good	0.05 \| good	1.548 \| good	0.098 \| good
2025-09-19T05:00:00.000Z	25 \| good	3.277 \| good	5.461 \| good	26.672 \| good	0.07 \| good	1.61 \| good	0.097 \| good
2025-09-19T06:00:00.000Z	24 \| good	3.416 \| good	5.463 \| good	26.243 \| good	0.106 \| good	2.124 \| good	0.099 \| good
2025-09-19T07:00:00.000Z	22 \| good	3.722 \| good	5.892 \| good	24.084 \| good	0.133 \| good	3.197 \| good	0.103 \| good
2025-09-19T08:00:00.000Z	22 \| good	3.938 \| good	6.1 \| good	22.681 \| good	0.134 \| good	4.033 \| good	0.104 \| good
2025-09-19T09:00:00.000Z	23 \| good	4.036 \| good	6.216 \| good	25.033 \| good	0.113 \| good	4.099 \| good	0.109 \| good

Chesterfield, Derbyshire live air quality index now

Major air pollutants in Chesterfield, Derbyshire

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Chesterfield, Derbyshire air quality forecast and history

Get reliable air quality data to drive your business

Chesterfield, Derbyshire air quality map: Track AQI near you

Air quality in nearby cities

Brimington, Derbyshire

Staveley, Derbyshire

Dronfield, Derbyshire

Bolsover, Derbyshire

Matlock, Derbyshire

Shirebrook, 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 Chesterfield, Derbyshire updated?

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

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

What is the current air quality in Chesterfield, Derbyshire?

What pollutant is the most common in Chesterfield, Derbyshire?

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

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

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

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

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

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

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

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

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

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

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