What are the current PM10 levels at Ilkeston, Derbyshire?

The current PM10 levels in Ilkeston, Derbyshire are 10.299 μg/m3.

What are the current sulfur dioxide (SO2) levels at Ilkeston, Derbyshire?

The current sulfur dioxide (SO2) levels in Ilkeston, Derbyshire are 0.664 ppb.

What are the current ozone (O3) levels at Ilkeston, Derbyshire?

The current ozone (O3) levels at Ilkeston, Derbyshire is 28.334 ppm.

What are the current nitrogen dioxide (NO2) levels at Ilkeston, Derbyshire?

The current nitrogen dioxide (NO2) levels at Ilkeston, Derbyshire is 7.629 ppb.

Real-time air quality index in Ilkeston, Derbyshire today

Q: What are the current PM2.5 levels in Ilkeston, Derbyshire?

The measured PM2.5 levels in Ilkeston, Derbyshire at present are 3.261 μg/m3.

Stay updated with real-time air quality in Ilkeston, 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

Ilkeston, Derbyshire

Last updated: ... (Local time)

Common air pollutants in Ilkeston, Derbyshire

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

3.26 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

10.30 μg/m³

155

255

425

605+

Ozone (O₃)

28.33 ppb

201

201+

Sulfur Dioxide (SO₂)

0.66 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

7.63 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.11 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

Ilkeston, Derbyshire

Get Live Pollen Counts

Ilkeston, Derbyshire

Scroll To Air Quality Map

Track live Ilkeston, Derbyshire air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-05-12T13:00:00.000Z	30 \| good	4.732 \| good	10.576 \| good	32.046 \| good	0.573 \| good	9.184 \| good	0.12 \| good
2026-05-12T14:00:00.000Z	33 \| good	4.771 \| good	14.507 \| good	35.979 \| good	0.633 \| good	7.893 \| good	0.111 \| good
2026-05-12T15:00:00.000Z	33 \| good	4.947 \| good	14.235 \| good	35.621 \| good	0.729 \| good	7.62 \| good	0.113 \| good
2026-05-12T16:00:00.000Z	35 \| good	4.94 \| good	14.731 \| good	38.261 \| good	0.511 \| good	5.769 \| good	0.117 \| good
2026-05-12T17:00:00.000Z	36 \| good	4.985 \| good	15.703 \| good	39.388 \| good	0.511 \| good	7.404 \| good	0.662 \| good
2026-05-12T18:00:00.000Z	37 \| good	5.073 \| good	14.76 \| good	40.303 \| good	0.512 \| good	7.836 \| good	0.662 \| good
2026-05-12T19:00:00.000Z	38 \| good	5.044 \| good	12.107 \| good	40.819 \| good	0.598 \| good	5.838 \| good	0.163 \| good
2026-05-12T20:00:00.000Z	38 \| good	5.358 \| good	16.797 \| good	41.093 \| good	0.495 \| good	4.009 \| good	0.155 \| good
2026-05-12T21:00:00.000Z	38 \| good	5.387 \| good	14.839 \| good	40.872 \| good	0.498 \| good	4.685 \| good	0.153 \| good
2026-05-12T22:00:00.000Z	35 \| good	4.69 \| good	13.669 \| good	37.981 \| good	0.494 \| good	9.214 \| good	0.153 \| good
2026-05-12T23:00:00.000Z	35 \| good	5.255 \| good	16.152 \| good	37.908 \| good	0.535 \| good	9.525 \| good	0.662 \| good
2026-05-13T00:00:00.000Z	33 \| good	5.523 \| good	13.503 \| good	34.153 \| good	0.709 \| good	10.659 \| good	0.132 \| good
2026-05-13T01:00:00.000Z	33 \| good	5.589 \| good	15.135 \| good	34.809 \| good	0.852 \| good	5.636 \| good	0.662 \| good
2026-05-13T02:00:00.000Z	33 \| good	5.52 \| good	15.774 \| good	32.348 \| good	0.814 \| good	3.415 \| good	0.662 \| good
2026-05-13T03:00:00.000Z	29 \| good	4.608 \| good	15.022 \| good	31.227 \| good	0.713 \| good	3.588 \| good	0.662 \| good
2026-05-13T04:00:00.000Z	28 \| good	5.236 \| good	18.202 \| good	29.774 \| good	0.827 \| good	3.353 \| good	0.662 \| good
2026-05-13T05:00:00.000Z	33 \| good	5.78 \| good	17.644 \| good	29.556 \| good	0.66 \| good	3.216 \| good	0.662 \| good
2026-05-13T06:00:00.000Z	33 \| good	5.766 \| good	16.172 \| good	31.109 \| good	0.609 \| good	5.36 \| good	0.662 \| good
2026-05-13T07:00:00.000Z	33 \| good	5.653 \| good	18.789 \| good	30.397 \| good	0.723 \| good	7.332 \| good	0.144 \| good
2026-05-13T08:00:00.000Z	33 \| good	5.758 \| good	19.492 \| good	28.124 \| good	0.723 \| good	9.641 \| good	0.662 \| good
2026-05-13T09:00:00.000Z	33 \| good	5.637 \| good	17.915 \| good	28.327 \| good	0.661 \| good	10.949 \| good	0.662 \| good
2026-05-13T10:00:00.000Z	30 \| good	5.444 \| good	13.697 \| good	32.486 \| good	0.66 \| good	9.545 \| good	0.125 \| good
2026-05-13T11:00:00.000Z	30 \| good	5.263 \| good	14.544 \| good	31.741 \| good	0.723 \| good	8.596 \| good	0.122 \| good
2026-05-13T12:00:00.000Z	33 \| good	5.53 \| good	10.443 \| good	29.878 \| good	0.775 \| good	7.598 \| good	0.115 \| good
2026-05-13T13:00:00.000Z	29 \| good	5.133 \| good	17.143 \| good	30.746 \| good	0.776 \| good	7.397 \| good	0.117 \| good
2026-05-13T14:00:00.000Z	29 \| good	5.456 \| good	15.265 \| good	30.562 \| good	0.873 \| good	8.737 \| good	0.118 \| good
2026-05-13T15:00:00.000Z	28 \| good	4.9 \| good	15.931 \| good	30.325 \| good	0.771 \| good	10.776 \| good	0.113 \| good
2026-05-13T16:00:00.000Z	28 \| good	4.666 \| good	11.288 \| good	30.203 \| good	0.819 \| good	6.589 \| good	0.117 \| good
2026-05-13T17:00:00.000Z	30 \| good	4.54 \| good	11.577 \| good	32.406 \| good	0.782 \| good	9.682 \| good	0.122 \| good
2026-05-13T18:00:00.000Z	28 \| good	4.336 \| good	10.633 \| good	29.505 \| good	0.847 \| good	10.528 \| good	0.139 \| good
2026-05-13T19:00:00.000Z	30 \| good	4.158 \| good	11.916 \| good	31.518 \| good	0.715 \| good	5.738 \| good	0.197 \| good
2026-05-13T20:00:00.000Z	30 \| good	4.028 \| good	10.224 \| good	32.479 \| good	0.711 \| good	7.622 \| good	0.211 \| good
2026-05-13T21:00:00.000Z	28 \| good	3.839 \| good	10.985 \| good	29.531 \| good	0.711 \| good	8.446 \| good	0.2 \| good
2026-05-13T22:00:00.000Z	24 \| good	3.807 \| good	12.49 \| good	26.187 \| good	0.714 \| good	11.917 \| good	0.216 \| good
2026-05-13T23:00:00.000Z	23 \| good	4.055 \| good	13.141 \| good	25.205 \| good	0.716 \| good	7.718 \| good	0.224 \| good
2026-05-14T00:00:00.000Z	22 \| good	4.003 \| good	8.754 \| good	24.143 \| good	0.719 \| good	6.759 \| good	0.205 \| good
2026-05-14T01:00:00.000Z	24 \| good	3.379 \| good	6.347 \| good	26.015 \| good	0.663 \| good	4.663 \| good	0.167 \| good
2026-05-14T02:00:00.000Z	24 \| good	3.338 \| good	7.506 \| good	26.015 \| good	0.662 \| good	4.193 \| good	0.167 \| good
2026-05-14T03:00:00.000Z	22 \| good	3.439 \| good	9.247 \| good	23.569 \| good	0.662 \| good	3.951 \| good	0.15 \| good
2026-05-14T04:00:00.000Z	22 \| good	3.229 \| good	7.483 \| good	24.122 \| good	0.564 \| good	3.015 \| good	0.158 \| good
2026-05-14T05:00:00.000Z	25 \| good	3.253 \| good	11.75 \| good	27.333 \| good	0.601 \| good	2.957 \| good	0.172 \| good
2026-05-14T06:00:00.000Z	23 \| good	3.309 \| good	8.518 \| good	24.65 \| good	0.718 \| good	4.714 \| good	0.208 \| good
2026-05-14T07:00:00.000Z	23 \| good	3.018 \| good	10.096 \| good	24.754 \| good	0.817 \| good	7.31 \| good	0.177 \| good
2026-05-14T08:00:00.000Z	24 \| good	2.814 \| good	8.749 \| good	25.515 \| good	0.763 \| good	9.168 \| good	0.157 \| good
2026-05-14T09:00:00.000Z	27 \| good	2.842 \| good	7.278 \| good	29.314 \| good	0.662 \| good	5.433 \| good	0.13 \| good
2026-05-14T10:00:00.000Z	26 \| good	2.857 \| good	9.349 \| good	27.919 \| good	0.739 \| good	5.626 \| good	0.118 \| good
2026-05-14T11:00:00.000Z	25 \| good	3.246 \| good	11.049 \| good	26.842 \| good	0.663 \| good	5.191 \| good	0.118 \| good
2026-05-14T12:00:00.000Z	26 \| good	3.261 \| good	10.299 \| good	28.334 \| good	0.664 \| good	7.629 \| good	0.108 \| good
2026-05-14T12:00:00.000Z	26 \| good	3.261 \| good	10.299 \| good	28.334 \| good	0.664 \| good	7.629 \| good	0.108 \| good
2026-05-14T13:00:00.000Z	37 \| good	3.528 \| good	6.171 \| good	40.413 \| good	0.192 \| good	1.996 \| good	0.117 \| good
2026-05-14T14:00:00.000Z	38 \| good	3.371 \| good	5.865 \| good	40.999 \| good	0.163 \| good	2.122 \| good	0.118 \| good
2026-05-14T15:00:00.000Z	38 \| good	3.455 \| good	5.831 \| good	40.795 \| good	0.169 \| good	2.383 \| good	0.119 \| good
2026-05-14T16:00:00.000Z	38 \| good	3.626 \| good	5.727 \| good	40.551 \| good	0.175 \| good	2.639 \| good	0.12 \| good
2026-05-14T17:00:00.000Z	38 \| good	3.969 \| good	5.51 \| good	40.52 \| good	0.192 \| good	3.045 \| good	0.121 \| good
2026-05-14T18:00:00.000Z	37 \| good	3.857 \| good	5.588 \| good	39.817 \| good	0.24 \| good	3.406 \| good	0.122 \| good
2026-05-14T19:00:00.000Z	32 \| good	3.849 \| good	5.556 \| good	35.027 \| good	0.338 \| good	4.199 \| good	0.122 \| good
2026-05-14T20:00:00.000Z	30 \| good	4.502 \| good	5.822 \| good	31.927 \| good	0.375 \| good	5.976 \| good	0.128 \| good
2026-05-14T21:00:00.000Z	27 \| good	5.094 \| good	7.353 \| good	29.472 \| good	0.429 \| good	7.157 \| good	0.13 \| good
2026-05-14T22:00:00.000Z	27 \| good	5.414 \| good	8.836 \| good	28.429 \| good	0.48 \| good	6.344 \| good	0.129 \| good
2026-05-14T23:00:00.000Z	33 \| good	5.84 \| good	9.781 \| good	27.627 \| good	0.457 \| good	6.213 \| good	0.129 \| good
2026-05-15T00:00:00.000Z	38 \| good	6.707 \| good	10.628 \| good	27.333 \| good	0.432 \| good	5.74 \| good	0.127 \| good
2026-05-15T01:00:00.000Z	38 \| good	6.641 \| good	11 \| good	27.69 \| good	0.432 \| good	4.907 \| good	0.124 \| good
2026-05-15T02:00:00.000Z	33 \| good	6.394 \| good	11.52 \| good	27.398 \| good	0.382 \| good	4.287 \| good	0.12 \| good
2026-05-15T03:00:00.000Z	33 \| good	5.814 \| good	9.318 \| good	27.83 \| good	0.321 \| good	3.579 \| good	0.117 \| good
2026-05-15T04:00:00.000Z	25 \| good	4.371 \| good	7.396 \| good	26.704 \| good	0.305 \| good	3.11 \| good	0.117 \| good
2026-05-15T05:00:00.000Z	26 \| good	3.486 \| good	6.806 \| good	27.533 \| good	0.343 \| good	2.854 \| good	0.117 \| good
2026-05-15T06:00:00.000Z	28 \| good	3.135 \| good	6.551 \| good	30.059 \| good	0.333 \| good	3.308 \| good	0.12 \| good
2026-05-15T07:00:00.000Z	31 \| good	2.59 \| good	6.416 \| good	33.516 \| good	0.274 \| good	2.864 \| good	0.121 \| good
2026-05-15T08:00:00.000Z	34 \| good	2.516 \| good	6.303 \| good	36.706 \| good	0.231 \| good	2.447 \| good	0.119 \| good
2026-05-15T09:00:00.000Z	38 \| good	2.51 \| good	5.739 \| good	40.998 \| good	0.188 \| good	2.021 \| good	0.117 \| good
2026-05-15T10:00:00.000Z	40 \| good	2.632 \| good	5.725 \| good	43.259 \| good	0.166 \| good	1.644 \| good	0.115 \| good
2026-05-15T11:00:00.000Z	42 \| good	2.784 \| good	5.756 \| good	44.64 \| good	0.164 \| good	1.635 \| good	0.115 \| good
2026-05-15T12:00:00.000Z	42 \| good	2.831 \| good	6.034 \| good	45.443 \| good	0.154 \| good	1.629 \| good	0.115 \| good
2026-05-15T13:00:00.000Z	42 \| good	2.88 \| good	6.102 \| good	45.172 \| good	0.151 \| good	1.638 \| good	0.115 \| good
2026-05-15T14:00:00.000Z	43 \| good	2.902 \| good	6.183 \| good	45.721 \| good	0.148 \| good	1.594 \| good	0.115 \| good
2026-05-15T15:00:00.000Z	42 \| good	3.034 \| good	6.604 \| good	45.343 \| good	0.145 \| good	1.773 \| good	0.115 \| good
2026-05-15T16:00:00.000Z	41 \| good	3.427 \| good	7.353 \| good	44.098 \| good	0.156 \| good	2.056 \| good	0.116 \| good
2026-05-15T17:00:00.000Z	40 \| good	3.847 \| good	7.758 \| good	42.567 \| good	0.183 \| good	2.523 \| good	0.119 \| good
2026-05-15T18:00:00.000Z	39 \| good	4.002 \| good	8.185 \| good	41.769 \| good	0.214 \| good	3.176 \| good	0.121 \| good
2026-05-15T19:00:00.000Z	36 \| good	4.508 \| good	8.491 \| good	39.304 \| good	0.289 \| good	3.916 \| good	0.12 \| good
2026-05-15T20:00:00.000Z	33 \| good	4.773 \| good	8.974 \| good	36.372 \| good	0.42 \| good	5.443 \| good	0.124 \| good
2026-05-15T21:00:00.000Z	31 \| good	5.324 \| good	9.768 \| good	33.259 \| good	0.463 \| good	6.1 \| good	0.127 \| good
2026-05-15T22:00:00.000Z	38 \| good	6.583 \| good	10.854 \| good	30.455 \| good	0.451 \| good	7.324 \| good	0.133 \| good
2026-05-15T23:00:00.000Z	44 \| good	7.558 \| good	11.111 \| good	28.827 \| good	0.399 \| good	8.063 \| good	0.137 \| good
2026-05-16T00:00:00.000Z	44 \| good	8.248 \| good	11.512 \| good	27.499 \| good	0.355 \| good	8.218 \| good	0.14 \| good
2026-05-16T01:00:00.000Z	44 \| good	8.499 \| good	11.343 \| good	25.167 \| good	0.294 \| good	7.323 \| good	0.137 \| good
2026-05-16T02:00:00.000Z	44 \| good	8.436 \| good	10.915 \| good	24.088 \| good	0.282 \| good	6.483 \| good	0.134 \| good
2026-05-16T03:00:00.000Z	44 \| good	8.136 \| good	10.45 \| good	23.403 \| good	0.298 \| good	6.086 \| good	0.132 \| good
2026-05-16T04:00:00.000Z	44 \| good	8.28 \| good	10.598 \| good	23.411 \| good	0.345 \| good	6.261 \| good	0.128 \| good
2026-05-16T05:00:00.000Z	38 \| good	7.1 \| good	9.966 \| good	24.903 \| good	0.358 \| good	5.73 \| good	0.121 \| good
2026-05-16T06:00:00.000Z	27 \| good	4.628 \| good	8.173 \| good	28.531 \| good	0.296 \| good	3.908 \| good	0.118 \| good
2026-05-16T07:00:00.000Z	28 \| good	3.577 \| good	6.648 \| good	30.362 \| good	0.248 \| good	2.628 \| good	0.121 \| good
2026-05-16T08:00:00.000Z	30 \| good	3.492 \| good	6.074 \| good	32.264 \| good	0.208 \| good	2.03 \| good	0.119 \| good
2026-05-16T09:00:00.000Z	32 \| good	2.991 \| good	5.441 \| good	35.234 \| good	0.17 \| good	1.476 \| good	0.116 \| good
2026-05-16T10:00:00.000Z	35 \| good	2.631 \| good	4.992 \| good	37.805 \| good	0.142 \| good	1.345 \| good	0.114 \| good
2026-05-16T11:00:00.000Z	37 \| good	2.863 \| good	4.771 \| good	39.917 \| good	0.134 \| good	1.24 \| good	0.113 \| good
2026-05-16T12:00:00.000Z	39 \| good	3.28 \| good	4.973 \| good	42.235 \| good	0.123 \| good	1.21 \| good	0.113 \| good

Ilkeston

Empower business decisions with accurate air quality data

Ilkeston, Derbyshire air quality map: Real-time AQI near you

0.12ppm

How accurate is Derbyshire, UK air quality data?

Air quality measurements for Derbyshire, UK meet strict US EPA standards. These measurements are collected from reliable sources, including satellites and ground-based monitoring systems. Advanced algorithms and machine learning techniques are applied to the data, factoring in variables such as traffic and population density, to ensure precision and reliability.

Source: Ambee Data Sources

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Frequently asked questions

How frequently is the air quality data for Ilkeston, Derbyshire updated?

Air quality data for Ilkeston, Derbyshire is updated on an hourly basis.

When did Ilkeston, Derbyshire experience the worst air quality in the last 24 hours?

The worst air quality in Ilkeston, Derbyshire was recorded at 12:00:00 on 2026-05-13.

When did Ilkeston, Derbyshire have its best air quality in the last 24 hours?

The best air quality in Ilkeston, Derbyshire was recorded at 04:00:00 on 2026-05-14.

What is the real-time air quality index for Ilkeston, Derbyshire?

The real-time air quality index in Ilkeston, Derbyshire is 26, currently categorized as Good.

Which pollutant is found most often in Ilkeston, Derbyshire?

The most common pollutant in Ilkeston, Derbyshire is O3.

What can I do if the air quality in Ilkeston, Derbyshire is poor?

If the air quality in Ilkeston, Derbyshire is poor, limit outdoor activities and use a mask to safeguard your health.

What are the current PM_2.5 levels in Ilkeston, Derbyshire?

The measured PM_2.5 levels in Ilkeston, Derbyshire at present are 3.261 μg/m³.

What are the current PM₁₀ levels at Ilkeston, Derbyshire?

The current PM₁₀ levels in Ilkeston, Derbyshire are 10.299 μg/m³.

What are the current carbon monoxide (CO) levels at Ilkeston, Derbyshire?

The current carbon monoxide (CO) level in Ilkeston, Derbyshire is 0.108 ppm.

What are the current sulfur dioxide (SO₂) levels at Ilkeston, Derbyshire?

The current sulfur dioxide (SO₂) levels in Ilkeston, Derbyshire are 0.664 ppb.

What are the current ozone (O₃) levels at Ilkeston, Derbyshire?

The current ozone (O₃) levels at Ilkeston, Derbyshire is 28.334 ppm.

What are the current nitrogen dioxide (NO₂) levels at Ilkeston, Derbyshire?

The current nitrogen dioxide (NO₂) levels at Ilkeston, Derbyshire is 7.629 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-05-12T13:00:00.000Z	30 \| good	4.732 \| good	10.576 \| good	32.046 \| good	0.573 \| good	9.184 \| good	0.12 \| good
2026-05-12T14:00:00.000Z	33 \| good	4.771 \| good	14.507 \| good	35.979 \| good	0.633 \| good	7.893 \| good	0.111 \| good
2026-05-12T15:00:00.000Z	33 \| good	4.947 \| good	14.235 \| good	35.621 \| good	0.729 \| good	7.62 \| good	0.113 \| good
2026-05-12T16:00:00.000Z	35 \| good	4.94 \| good	14.731 \| good	38.261 \| good	0.511 \| good	5.769 \| good	0.117 \| good
2026-05-12T17:00:00.000Z	36 \| good	4.985 \| good	15.703 \| good	39.388 \| good	0.511 \| good	7.404 \| good	0.662 \| good
2026-05-12T18:00:00.000Z	37 \| good	5.073 \| good	14.76 \| good	40.303 \| good	0.512 \| good	7.836 \| good	0.662 \| good
2026-05-12T19:00:00.000Z	38 \| good	5.044 \| good	12.107 \| good	40.819 \| good	0.598 \| good	5.838 \| good	0.163 \| good
2026-05-12T20:00:00.000Z	38 \| good	5.358 \| good	16.797 \| good	41.093 \| good	0.495 \| good	4.009 \| good	0.155 \| good
2026-05-12T21:00:00.000Z	38 \| good	5.387 \| good	14.839 \| good	40.872 \| good	0.498 \| good	4.685 \| good	0.153 \| good
2026-05-12T22:00:00.000Z	35 \| good	4.69 \| good	13.669 \| good	37.981 \| good	0.494 \| good	9.214 \| good	0.153 \| good
2026-05-12T23:00:00.000Z	35 \| good	5.255 \| good	16.152 \| good	37.908 \| good	0.535 \| good	9.525 \| good	0.662 \| good
2026-05-13T00:00:00.000Z	33 \| good	5.523 \| good	13.503 \| good	34.153 \| good	0.709 \| good	10.659 \| good	0.132 \| good
2026-05-13T01:00:00.000Z	33 \| good	5.589 \| good	15.135 \| good	34.809 \| good	0.852 \| good	5.636 \| good	0.662 \| good
2026-05-13T02:00:00.000Z	33 \| good	5.52 \| good	15.774 \| good	32.348 \| good	0.814 \| good	3.415 \| good	0.662 \| good
2026-05-13T03:00:00.000Z	29 \| good	4.608 \| good	15.022 \| good	31.227 \| good	0.713 \| good	3.588 \| good	0.662 \| good
2026-05-13T04:00:00.000Z	28 \| good	5.236 \| good	18.202 \| good	29.774 \| good	0.827 \| good	3.353 \| good	0.662 \| good
2026-05-13T05:00:00.000Z	33 \| good	5.78 \| good	17.644 \| good	29.556 \| good	0.66 \| good	3.216 \| good	0.662 \| good
2026-05-13T06:00:00.000Z	33 \| good	5.766 \| good	16.172 \| good	31.109 \| good	0.609 \| good	5.36 \| good	0.662 \| good
2026-05-13T07:00:00.000Z	33 \| good	5.653 \| good	18.789 \| good	30.397 \| good	0.723 \| good	7.332 \| good	0.144 \| good
2026-05-13T08:00:00.000Z	33 \| good	5.758 \| good	19.492 \| good	28.124 \| good	0.723 \| good	9.641 \| good	0.662 \| good
2026-05-13T09:00:00.000Z	33 \| good	5.637 \| good	17.915 \| good	28.327 \| good	0.661 \| good	10.949 \| good	0.662 \| good
2026-05-13T10:00:00.000Z	30 \| good	5.444 \| good	13.697 \| good	32.486 \| good	0.66 \| good	9.545 \| good	0.125 \| good
2026-05-13T11:00:00.000Z	30 \| good	5.263 \| good	14.544 \| good	31.741 \| good	0.723 \| good	8.596 \| good	0.122 \| good
2026-05-13T12:00:00.000Z	33 \| good	5.53 \| good	10.443 \| good	29.878 \| good	0.775 \| good	7.598 \| good	0.115 \| good
2026-05-13T13:00:00.000Z	29 \| good	5.133 \| good	17.143 \| good	30.746 \| good	0.776 \| good	7.397 \| good	0.117 \| good
2026-05-13T14:00:00.000Z	29 \| good	5.456 \| good	15.265 \| good	30.562 \| good	0.873 \| good	8.737 \| good	0.118 \| good
2026-05-13T15:00:00.000Z	28 \| good	4.9 \| good	15.931 \| good	30.325 \| good	0.771 \| good	10.776 \| good	0.113 \| good
2026-05-13T16:00:00.000Z	28 \| good	4.666 \| good	11.288 \| good	30.203 \| good	0.819 \| good	6.589 \| good	0.117 \| good
2026-05-13T17:00:00.000Z	30 \| good	4.54 \| good	11.577 \| good	32.406 \| good	0.782 \| good	9.682 \| good	0.122 \| good
2026-05-13T18:00:00.000Z	28 \| good	4.336 \| good	10.633 \| good	29.505 \| good	0.847 \| good	10.528 \| good	0.139 \| good
2026-05-13T19:00:00.000Z	30 \| good	4.158 \| good	11.916 \| good	31.518 \| good	0.715 \| good	5.738 \| good	0.197 \| good
2026-05-13T20:00:00.000Z	30 \| good	4.028 \| good	10.224 \| good	32.479 \| good	0.711 \| good	7.622 \| good	0.211 \| good
2026-05-13T21:00:00.000Z	28 \| good	3.839 \| good	10.985 \| good	29.531 \| good	0.711 \| good	8.446 \| good	0.2 \| good
2026-05-13T22:00:00.000Z	24 \| good	3.807 \| good	12.49 \| good	26.187 \| good	0.714 \| good	11.917 \| good	0.216 \| good
2026-05-13T23:00:00.000Z	23 \| good	4.055 \| good	13.141 \| good	25.205 \| good	0.716 \| good	7.718 \| good	0.224 \| good
2026-05-14T00:00:00.000Z	22 \| good	4.003 \| good	8.754 \| good	24.143 \| good	0.719 \| good	6.759 \| good	0.205 \| good
2026-05-14T01:00:00.000Z	24 \| good	3.379 \| good	6.347 \| good	26.015 \| good	0.663 \| good	4.663 \| good	0.167 \| good
2026-05-14T02:00:00.000Z	24 \| good	3.338 \| good	7.506 \| good	26.015 \| good	0.662 \| good	4.193 \| good	0.167 \| good
2026-05-14T03:00:00.000Z	22 \| good	3.439 \| good	9.247 \| good	23.569 \| good	0.662 \| good	3.951 \| good	0.15 \| good
2026-05-14T04:00:00.000Z	22 \| good	3.229 \| good	7.483 \| good	24.122 \| good	0.564 \| good	3.015 \| good	0.158 \| good
2026-05-14T05:00:00.000Z	25 \| good	3.253 \| good	11.75 \| good	27.333 \| good	0.601 \| good	2.957 \| good	0.172 \| good
2026-05-14T06:00:00.000Z	23 \| good	3.309 \| good	8.518 \| good	24.65 \| good	0.718 \| good	4.714 \| good	0.208 \| good
2026-05-14T07:00:00.000Z	23 \| good	3.018 \| good	10.096 \| good	24.754 \| good	0.817 \| good	7.31 \| good	0.177 \| good
2026-05-14T08:00:00.000Z	24 \| good	2.814 \| good	8.749 \| good	25.515 \| good	0.763 \| good	9.168 \| good	0.157 \| good
2026-05-14T09:00:00.000Z	27 \| good	2.842 \| good	7.278 \| good	29.314 \| good	0.662 \| good	5.433 \| good	0.13 \| good
2026-05-14T10:00:00.000Z	26 \| good	2.857 \| good	9.349 \| good	27.919 \| good	0.739 \| good	5.626 \| good	0.118 \| good
2026-05-14T11:00:00.000Z	25 \| good	3.246 \| good	11.049 \| good	26.842 \| good	0.663 \| good	5.191 \| good	0.118 \| good
2026-05-14T12:00:00.000Z	26 \| good	3.261 \| good	10.299 \| good	28.334 \| good	0.664 \| good	7.629 \| good	0.108 \| good
2026-05-14T12:00:00.000Z	26 \| good	3.261 \| good	10.299 \| good	28.334 \| good	0.664 \| good	7.629 \| good	0.108 \| good
2026-05-14T13:00:00.000Z	37 \| good	3.528 \| good	6.171 \| good	40.413 \| good	0.192 \| good	1.996 \| good	0.117 \| good
2026-05-14T14:00:00.000Z	38 \| good	3.371 \| good	5.865 \| good	40.999 \| good	0.163 \| good	2.122 \| good	0.118 \| good
2026-05-14T15:00:00.000Z	38 \| good	3.455 \| good	5.831 \| good	40.795 \| good	0.169 \| good	2.383 \| good	0.119 \| good
2026-05-14T16:00:00.000Z	38 \| good	3.626 \| good	5.727 \| good	40.551 \| good	0.175 \| good	2.639 \| good	0.12 \| good
2026-05-14T17:00:00.000Z	38 \| good	3.969 \| good	5.51 \| good	40.52 \| good	0.192 \| good	3.045 \| good	0.121 \| good
2026-05-14T18:00:00.000Z	37 \| good	3.857 \| good	5.588 \| good	39.817 \| good	0.24 \| good	3.406 \| good	0.122 \| good
2026-05-14T19:00:00.000Z	32 \| good	3.849 \| good	5.556 \| good	35.027 \| good	0.338 \| good	4.199 \| good	0.122 \| good
2026-05-14T20:00:00.000Z	30 \| good	4.502 \| good	5.822 \| good	31.927 \| good	0.375 \| good	5.976 \| good	0.128 \| good
2026-05-14T21:00:00.000Z	27 \| good	5.094 \| good	7.353 \| good	29.472 \| good	0.429 \| good	7.157 \| good	0.13 \| good
2026-05-14T22:00:00.000Z	27 \| good	5.414 \| good	8.836 \| good	28.429 \| good	0.48 \| good	6.344 \| good	0.129 \| good
2026-05-14T23:00:00.000Z	33 \| good	5.84 \| good	9.781 \| good	27.627 \| good	0.457 \| good	6.213 \| good	0.129 \| good
2026-05-15T00:00:00.000Z	38 \| good	6.707 \| good	10.628 \| good	27.333 \| good	0.432 \| good	5.74 \| good	0.127 \| good
2026-05-15T01:00:00.000Z	38 \| good	6.641 \| good	11 \| good	27.69 \| good	0.432 \| good	4.907 \| good	0.124 \| good
2026-05-15T02:00:00.000Z	33 \| good	6.394 \| good	11.52 \| good	27.398 \| good	0.382 \| good	4.287 \| good	0.12 \| good
2026-05-15T03:00:00.000Z	33 \| good	5.814 \| good	9.318 \| good	27.83 \| good	0.321 \| good	3.579 \| good	0.117 \| good
2026-05-15T04:00:00.000Z	25 \| good	4.371 \| good	7.396 \| good	26.704 \| good	0.305 \| good	3.11 \| good	0.117 \| good
2026-05-15T05:00:00.000Z	26 \| good	3.486 \| good	6.806 \| good	27.533 \| good	0.343 \| good	2.854 \| good	0.117 \| good
2026-05-15T06:00:00.000Z	28 \| good	3.135 \| good	6.551 \| good	30.059 \| good	0.333 \| good	3.308 \| good	0.12 \| good
2026-05-15T07:00:00.000Z	31 \| good	2.59 \| good	6.416 \| good	33.516 \| good	0.274 \| good	2.864 \| good	0.121 \| good
2026-05-15T08:00:00.000Z	34 \| good	2.516 \| good	6.303 \| good	36.706 \| good	0.231 \| good	2.447 \| good	0.119 \| good
2026-05-15T09:00:00.000Z	38 \| good	2.51 \| good	5.739 \| good	40.998 \| good	0.188 \| good	2.021 \| good	0.117 \| good
2026-05-15T10:00:00.000Z	40 \| good	2.632 \| good	5.725 \| good	43.259 \| good	0.166 \| good	1.644 \| good	0.115 \| good
2026-05-15T11:00:00.000Z	42 \| good	2.784 \| good	5.756 \| good	44.64 \| good	0.164 \| good	1.635 \| good	0.115 \| good
2026-05-15T12:00:00.000Z	42 \| good	2.831 \| good	6.034 \| good	45.443 \| good	0.154 \| good	1.629 \| good	0.115 \| good
2026-05-15T13:00:00.000Z	42 \| good	2.88 \| good	6.102 \| good	45.172 \| good	0.151 \| good	1.638 \| good	0.115 \| good
2026-05-15T14:00:00.000Z	43 \| good	2.902 \| good	6.183 \| good	45.721 \| good	0.148 \| good	1.594 \| good	0.115 \| good
2026-05-15T15:00:00.000Z	42 \| good	3.034 \| good	6.604 \| good	45.343 \| good	0.145 \| good	1.773 \| good	0.115 \| good
2026-05-15T16:00:00.000Z	41 \| good	3.427 \| good	7.353 \| good	44.098 \| good	0.156 \| good	2.056 \| good	0.116 \| good
2026-05-15T17:00:00.000Z	40 \| good	3.847 \| good	7.758 \| good	42.567 \| good	0.183 \| good	2.523 \| good	0.119 \| good
2026-05-15T18:00:00.000Z	39 \| good	4.002 \| good	8.185 \| good	41.769 \| good	0.214 \| good	3.176 \| good	0.121 \| good
2026-05-15T19:00:00.000Z	36 \| good	4.508 \| good	8.491 \| good	39.304 \| good	0.289 \| good	3.916 \| good	0.12 \| good
2026-05-15T20:00:00.000Z	33 \| good	4.773 \| good	8.974 \| good	36.372 \| good	0.42 \| good	5.443 \| good	0.124 \| good
2026-05-15T21:00:00.000Z	31 \| good	5.324 \| good	9.768 \| good	33.259 \| good	0.463 \| good	6.1 \| good	0.127 \| good
2026-05-15T22:00:00.000Z	38 \| good	6.583 \| good	10.854 \| good	30.455 \| good	0.451 \| good	7.324 \| good	0.133 \| good
2026-05-15T23:00:00.000Z	44 \| good	7.558 \| good	11.111 \| good	28.827 \| good	0.399 \| good	8.063 \| good	0.137 \| good
2026-05-16T00:00:00.000Z	44 \| good	8.248 \| good	11.512 \| good	27.499 \| good	0.355 \| good	8.218 \| good	0.14 \| good
2026-05-16T01:00:00.000Z	44 \| good	8.499 \| good	11.343 \| good	25.167 \| good	0.294 \| good	7.323 \| good	0.137 \| good
2026-05-16T02:00:00.000Z	44 \| good	8.436 \| good	10.915 \| good	24.088 \| good	0.282 \| good	6.483 \| good	0.134 \| good
2026-05-16T03:00:00.000Z	44 \| good	8.136 \| good	10.45 \| good	23.403 \| good	0.298 \| good	6.086 \| good	0.132 \| good
2026-05-16T04:00:00.000Z	44 \| good	8.28 \| good	10.598 \| good	23.411 \| good	0.345 \| good	6.261 \| good	0.128 \| good
2026-05-16T05:00:00.000Z	38 \| good	7.1 \| good	9.966 \| good	24.903 \| good	0.358 \| good	5.73 \| good	0.121 \| good
2026-05-16T06:00:00.000Z	27 \| good	4.628 \| good	8.173 \| good	28.531 \| good	0.296 \| good	3.908 \| good	0.118 \| good
2026-05-16T07:00:00.000Z	28 \| good	3.577 \| good	6.648 \| good	30.362 \| good	0.248 \| good	2.628 \| good	0.121 \| good
2026-05-16T08:00:00.000Z	30 \| good	3.492 \| good	6.074 \| good	32.264 \| good	0.208 \| good	2.03 \| good	0.119 \| good
2026-05-16T09:00:00.000Z	32 \| good	2.991 \| good	5.441 \| good	35.234 \| good	0.17 \| good	1.476 \| good	0.116 \| good
2026-05-16T10:00:00.000Z	35 \| good	2.631 \| good	4.992 \| good	37.805 \| good	0.142 \| good	1.345 \| good	0.114 \| good
2026-05-16T11:00:00.000Z	37 \| good	2.863 \| good	4.771 \| good	39.917 \| good	0.134 \| good	1.24 \| good	0.113 \| good
2026-05-16T12:00:00.000Z	39 \| good	3.28 \| good	4.973 \| good	42.235 \| good	0.123 \| good	1.21 \| good	0.113 \| good

Real-time air quality index in Ilkeston, Derbyshire today

Common air pollutants in Ilkeston, Derbyshire

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Ilkeston, Derbyshire air quality forecast and history

Empower business decisions with accurate air quality data

Ilkeston, Derbyshire air quality map: Real-time AQI near you

Air quality in nearby cities

Stapleford, Nottinghamshire

Eastwood, Nottinghamshire

Heanor, Derbyshire

Beeston, Nottinghamshire

Long Eaton, Derbyshire

Hucknall, Nottinghamshire

How accurate is Derbyshire, UK air quality data?

Air quality levels in UK

Frequently asked questions

How frequently is the air quality data for Ilkeston, Derbyshire updated?

When did Ilkeston, Derbyshire experience the worst air quality in the last 24 hours?

When did Ilkeston, Derbyshire have its best air quality in the last 24 hours?

What is the real-time air quality index for Ilkeston, Derbyshire?

Which pollutant is found most often in Ilkeston, Derbyshire?

What can I do if the air quality in Ilkeston, Derbyshire is poor?

What are the current PM2.5 levels in Ilkeston, Derbyshire?

What are the current PM10 levels at Ilkeston, Derbyshire?

What are the current carbon monoxide (CO) levels at Ilkeston, Derbyshire?

What are the current sulfur dioxide (SO2) levels at Ilkeston, Derbyshire?

What are the current ozone (O3) levels at Ilkeston, Derbyshire?

What are the current nitrogen dioxide (NO2) levels at Ilkeston, Derbyshire?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What are the current PM_2.5 levels in Ilkeston, Derbyshire?

What are the current PM₁₀ levels at Ilkeston, Derbyshire?

What are the current sulfur dioxide (SO₂) levels at Ilkeston, Derbyshire?

What are the current ozone (O₃) levels at Ilkeston, Derbyshire?

What are the current nitrogen dioxide (NO₂) levels at Ilkeston, Derbyshire?