What is the current concentration of PM10 in Whittlesey, Cambridgeshire?

The current PM10 concentration at Whittlesey, Cambridgeshire is 7.406 μg/m3.

What is the current concentration of sulfur dioxide (SO2) in Whittlesey, Cambridgeshire?

The current sulfur dioxide (SO2) concentration at Whittlesey, Cambridgeshire is 0.754 ppb.

What is the current concentration of ozone (O3) in Whittlesey, Cambridgeshire?

The current ozone (O3) concentration at Whittlesey, Cambridgeshire is 27.173 ppm.

What is the current concentration of nitrogen dioxide (NO2) in Whittlesey, Cambridgeshire?

The current nitrogen dioxide (NO2) concentration at Whittlesey, Cambridgeshire is 2.222 ppb.

Whittlesey, Cambridgeshire live air quality index now

Q: What is the current concentration of PM2.5 in Whittlesey, Cambridgeshire?

The current PM2.5 concentration at Whittlesey, Cambridgeshire is 5.681 μg/m3.

Stay updated with real-time air quality in Whittlesey, Cambridgeshire 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

Whittlesey, Cambridgeshire

Last updated: ... (Local time)

Major air pollutants in Whittlesey, Cambridgeshire

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

3.59 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

23.73 μg/m³

155

255

425

605+

Ozone (O₃)

21.30 ppb

201

201+

Sulfur Dioxide (SO₂)

0.88 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

11.14 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.11 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

Whittlesey, Cambridgeshire

Get Live Pollen Counts

Whittlesey, Cambridgeshire

Scroll To Air Quality Map

Track live Whittlesey, Cambridgeshire air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-11-13T20:00:00.000Z	38 \| good	7.215 \| good	14.572 \| good	22.854 \| good	0.726 \| good	19.405 \| good	0.166 \| good
2025-11-13T21:00:00.000Z	33 \| good	6.416 \| good	25.276 \| good	19.576 \| good	0.554 \| good	13.852 \| good	0.117 \| good
2025-11-13T22:00:00.000Z	44 \| good	8.063 \| good	18.806 \| good	16.097 \| good	0.782 \| good	8.31 \| good	0.114 \| good
2025-11-13T23:00:00.000Z	38 \| good	7.001 \| good	22.518 \| good	14.552 \| good	0.792 \| good	8.113 \| good	0.05 \| good
2025-11-14T00:00:00.000Z	44 \| good	7.506 \| good	24.28 \| good	12.623 \| good	0.596 \| good	7.631 \| good	0.664 \| good
2025-11-14T01:00:00.000Z	44 \| good	7.64 \| good	15.22 \| good	14.613 \| good	0.665 \| good	10.653 \| good	1.359 \| good
2025-11-14T02:00:00.000Z	44 \| good	7.519 \| good	23.991 \| good	12.058 \| good	0.66 \| good	9.283 \| good	1.144 \| good
2025-11-14T03:00:00.000Z	49 \| good	9.128 \| good	25.239 \| good	15.115 \| good	0.702 \| good	2.44 \| good	1.081 \| good
2025-11-14T04:00:00.000Z	33 \| good	5.904 \| good	19.269 \| good	12.084 \| good	0.707 \| good	2.588 \| good	1.047 \| good
2025-11-14T05:00:00.000Z	27 \| good	5.499 \| good	22.927 \| good	14.281 \| good	0.664 \| good	3.678 \| good	0.982 \| good
2025-11-14T06:00:00.000Z	44 \| good	7.501 \| good	21.957 \| good	23.888 \| good	0.89 \| good	2.986 \| good	0.061 \| good
2025-11-14T07:00:00.000Z	44 \| good	7.594 \| good	19.951 \| good	19.829 \| good	0.889 \| good	3.068 \| good	0.06 \| good
2025-11-14T08:00:00.000Z	44 \| good	7.628 \| good	22.345 \| good	24.091 \| good	0.746 \| good	5.715 \| good	0.057 \| good
2025-11-14T09:00:00.000Z	38 \| good	7.173 \| good	21.322 \| good	28.422 \| good	0.838 \| good	7.657 \| good	0.694 \| good
2025-11-14T10:00:00.000Z	38 \| good	7.192 \| good	20.875 \| good	29.963 \| good	1.126 \| good	6.587 \| good	0.041 \| good
2025-11-14T11:00:00.000Z	38 \| good	7.089 \| good	16.255 \| good	30.506 \| good	1.005 \| good	6.686 \| good	0.032 \| good
2025-11-14T12:00:00.000Z	38 \| good	7.408 \| good	18.487 \| good	30.475 \| good	0.915 \| good	6.392 \| good	0.028 \| good
2025-11-14T13:00:00.000Z	33 \| good	6.456 \| good	15.041 \| good	32.735 \| good	0.929 \| good	6.073 \| good	0.027 \| good
2025-11-14T14:00:00.000Z	33 \| good	6.209 \| good	14.384 \| good	31.32 \| good	1.086 \| good	6.272 \| good	0.029 \| good
2025-11-14T15:00:00.000Z	38 \| good	6.771 \| good	14.492 \| good	31.148 \| good	1.308 \| good	5.147 \| good	0.036 \| good
2025-11-14T16:00:00.000Z	38 \| good	6.763 \| good	15.654 \| good	31.456 \| good	1.123 \| good	7.461 \| good	0.045 \| good
2025-11-14T17:00:00.000Z	38 \| good	6.506 \| good	13.878 \| good	33.779 \| good	0.865 \| good	5.77 \| good	0.08 \| good
2025-11-14T18:00:00.000Z	33 \| good	6.363 \| good	16.209 \| good	33.993 \| good	0.611 \| good	5.21 \| good	0.092 \| good
2025-11-14T19:00:00.000Z	33 \| good	5.669 \| good	15.614 \| good	32.982 \| good	0.557 \| good	4.753 \| good	0.12 \| good
2025-11-14T20:00:00.000Z	31 \| good	5.299 \| good	14.179 \| good	34.373 \| good	0.729 \| good	4.079 \| good	0.13 \| good
2025-11-14T21:00:00.000Z	29 \| good	5.007 \| good	12.853 \| good	30.648 \| good	0.563 \| good	3.084 \| good	0.132 \| good
2025-11-14T22:00:00.000Z	23 \| good	4.374 \| good	10.688 \| good	24.989 \| good	0.739 \| good	2.773 \| good	0.097 \| good
2025-11-14T23:00:00.000Z	21 \| good	3.467 \| good	8.252 \| good	23.218 \| good	0.683 \| good	2.241 \| good	0.056 \| good
2025-11-15T00:00:00.000Z	25 \| good	3.202 \| good	8.645 \| good	27.158 \| good	0.729 \| good	2.037 \| good	0.928 \| good
2025-11-15T01:00:00.000Z	26 \| good	2.87 \| good	6.35 \| good	27.901 \| good	0.84 \| good	1.937 \| good	1.369 \| good
2025-11-15T02:00:00.000Z	27 \| good	3.586 \| good	5.443 \| good	28.755 \| good	0.594 \| good	1.417 \| good	1.405 \| good
2025-11-15T03:00:00.000Z	28 \| good	3.383 \| good	4.226 \| good	30.494 \| good	0.662 \| good	1.823 \| good	0.899 \| good
2025-11-15T04:00:00.000Z	29 \| good	3.729 \| good	5.425 \| good	30.969 \| good	0.589 \| good	2.005 \| good	0.758 \| good
2025-11-15T05:00:00.000Z	27 \| good	3.617 \| good	6.116 \| good	29.128 \| good	0.587 \| good	2.535 \| good	0.82 \| good
2025-11-15T06:00:00.000Z	33 \| good	5.681 \| good	7.406 \| good	27.173 \| good	0.754 \| good	2.222 \| good	0.062 \| good
2025-11-15T07:00:00.000Z	27 \| good	4.921 \| good	7.456 \| good	23.452 \| good	0.637 \| good	2.507 \| good	0.062 \| good
2025-11-15T08:00:00.000Z	27 \| good	5.367 \| good	9.45 \| good	21.355 \| good	0.525 \| good	2.928 \| good	0.067 \| good
2025-11-15T09:00:00.000Z	27 \| good	4.871 \| good	8.228 \| good	21.858 \| good	0.518 \| good	4.403 \| good	0.063 \| good
2025-11-15T10:00:00.000Z	33 \| good	6.148 \| good	10.696 \| good	23.321 \| good	0.593 \| good	6.527 \| good	0.053 \| good
2025-11-15T11:00:00.000Z	49 \| good	9.436 \| good	16.241 \| good	11.651 \| good	0.524 \| good	6.996 \| good	0.042 \| good
2025-11-15T12:00:00.000Z	19 \| good	2.691 \| good	5.279 \| good	21.043 \| good	0.765 \| good	4.78 \| good	0.031 \| good
2025-11-15T13:00:00.000Z	16 \| good	2.993 \| good	4.03 \| good	12.593 \| good	0.86 \| good	6.497 \| good	0.025 \| good
2025-11-15T14:00:00.000Z	20 \| good	2.939 \| good	4.766 \| good	21.989 \| good	0.563 \| good	6.954 \| good	0.025 \| good
2025-11-15T15:00:00.000Z	16 \| good	3.284 \| good	9.485 \| good	12.444 \| good	0.683 \| good	5.862 \| good	0.025 \| good
2025-11-15T16:00:00.000Z	22 \| good	3.933 \| good	13.023 \| good	19.625 \| good	0.743 \| good	6.627 \| good	0.05 \| good
2025-11-15T17:00:00.000Z	22 \| good	3.842 \| good	11.556 \| good	19.931 \| good	0.621 \| good	10.486 \| good	0.08 \| good
2025-11-15T18:00:00.000Z	22 \| good	3.59 \| good	23.728 \| good	21.305 \| good	0.875 \| good	11.137 \| good	0.111 \| good
2025-11-15T19:00:00.000Z	26 \| good	3.55 \| good	28.258 \| good	21.063 \| good	0.775 \| good	11.384 \| good	0.098 \| good
2025-11-15T19:00:00.000Z	22 \| good	3.59 \| good	23.728 \| good	21.305 \| good	0.875 \| good	11.137 \| good	0.111 \| good
2025-11-15T07:00:00.000Z	22 \| good	3.802 \| good	5.575 \| good	23.593 \| good	0.426 \| good	2.693 \| good	0.127 \| good
2025-11-15T08:00:00.000Z	22 \| good	4.17 \| good	6.904 \| good	22.943 \| good	0.496 \| good	2.96 \| good	0.131 \| good
2025-11-15T09:00:00.000Z	22 \| good	4.377 \| good	7.398 \| good	22.48 \| good	0.578 \| good	3.087 \| good	0.133 \| good
2025-11-15T10:00:00.000Z	27 \| good	4.742 \| good	7.518 \| good	22.386 \| good	0.639 \| good	3.219 \| good	0.132 \| good
2025-11-15T11:00:00.000Z	27 \| good	4.802 \| good	7.706 \| good	22.185 \| good	0.664 \| good	3.401 \| good	0.132 \| good
2025-11-15T12:00:00.000Z	27 \| good	4.549 \| good	7.615 \| good	21.989 \| good	0.649 \| good	3.368 \| good	0.132 \| good
2025-11-15T13:00:00.000Z	22 \| good	4.198 \| good	7.457 \| good	22.192 \| good	0.555 \| good	3.329 \| good	0.134 \| good
2025-11-15T14:00:00.000Z	22 \| good	3.943 \| good	7.516 \| good	22.701 \| good	0.541 \| good	3.292 \| good	0.133 \| good
2025-11-15T15:00:00.000Z	22 \| good	3.588 \| good	7.446 \| good	23.614 \| good	0.571 \| good	3.251 \| good	0.131 \| good
2025-11-15T16:00:00.000Z	22 \| good	3.365 \| good	7.526 \| good	24.342 \| good	0.547 \| good	3.301 \| good	0.132 \| good
2025-11-15T17:00:00.000Z	23 \| good	3.266 \| good	7.697 \| good	24.53 \| good	0.574 \| good	3.221 \| good	0.133 \| good
2025-11-15T18:00:00.000Z	23 \| good	3.358 \| good	7.679 \| good	25.037 \| good	0.657 \| good	3.261 \| good	0.132 \| good
2025-11-15T19:00:00.000Z	24 \| good	3.402 \| good	7.755 \| good	25.624 \| good	0.662 \| good	3.136 \| good	0.132 \| good
2025-11-15T20:00:00.000Z	24 \| good	3.436 \| good	7.766 \| good	25.79 \| good	0.684 \| good	2.872 \| good	0.131 \| good
2025-11-15T21:00:00.000Z	24 \| good	3.722 \| good	7.62 \| good	26.008 \| good	0.7 \| good	2.527 \| good	0.13 \| good
2025-11-15T22:00:00.000Z	24 \| good	3.581 \| good	7.42 \| good	26.155 \| good	0.682 \| good	2.22 \| good	0.128 \| good
2025-11-15T23:00:00.000Z	24 \| good	3.54 \| good	7.181 \| good	26.327 \| good	0.633 \| good	1.938 \| good	0.126 \| good
2025-11-16T00:00:00.000Z	25 \| good	3.161 \| good	6.965 \| good	26.897 \| good	0.588 \| good	1.754 \| good	0.124 \| good
2025-11-16T01:00:00.000Z	26 \| good	2.75 \| good	6.855 \| good	28.319 \| good	0.519 \| good	1.57 \| good	0.123 \| good
2025-11-16T02:00:00.000Z	28 \| good	2.983 \| good	7.099 \| good	29.611 \| good	0.508 \| good	1.372 \| good	0.121 \| good
2025-11-16T03:00:00.000Z	28 \| good	3.251 \| good	7.494 \| good	30.366 \| good	0.497 \| good	1.22 \| good	0.121 \| good
2025-11-16T04:00:00.000Z	28 \| good	2.829 \| good	7.295 \| good	30.397 \| good	0.499 \| good	1.11 \| good	0.12 \| good
2025-11-16T05:00:00.000Z	28 \| good	2.745 \| good	7.21 \| good	29.648 \| good	0.501 \| good	1.014 \| good	0.121 \| good
2025-11-16T06:00:00.000Z	27 \| good	2.993 \| good	7.242 \| good	28.885 \| good	0.518 \| good	1.037 \| good	0.122 \| good
2025-11-16T07:00:00.000Z	27 \| good	3.294 \| good	7.911 \| good	28.626 \| good	0.557 \| good	0.982 \| good	0.123 \| good
2025-11-16T08:00:00.000Z	28 \| good	3.377 \| good	8.425 \| good	29.68 \| good	0.603 \| good	1.112 \| good	0.125 \| good
2025-11-16T09:00:00.000Z	29 \| good	2.681 \| good	7.954 \| good	31.469 \| good	0.613 \| good	1.09 \| good	0.126 \| good
2025-11-16T10:00:00.000Z	31 \| good	2.371 \| good	7.489 \| good	33.476 \| good	0.606 \| good	1.008 \| good	0.126 \| good
2025-11-16T11:00:00.000Z	32 \| good	2.484 \| good	6.67 \| good	35.319 \| good	0.574 \| good	0.949 \| good	0.125 \| good
2025-11-16T12:00:00.000Z	34 \| good	1.986 \| good	5.917 \| good	36.87 \| good	0.545 \| good	0.884 \| good	0.125 \| good
2025-11-16T13:00:00.000Z	34 \| good	1.891 \| good	5.632 \| good	37.441 \| good	0.531 \| good	0.8 \| good	0.125 \| good
2025-11-16T14:00:00.000Z	34 \| good	2.097 \| good	5.505 \| good	37.292 \| good	0.536 \| good	0.818 \| good	0.126 \| good
2025-11-16T15:00:00.000Z	33 \| good	2.251 \| good	5.699 \| good	36.192 \| good	0.586 \| good	0.907 \| good	0.127 \| good
2025-11-16T16:00:00.000Z	31 \| good	2.31 \| good	5.862 \| good	34.446 \| good	0.727 \| good	1.093 \| good	0.13 \| good
2025-11-16T17:00:00.000Z	31 \| good	2.543 \| good	6.022 \| good	32.872 \| good	0.837 \| good	1.323 \| good	0.135 \| good
2025-11-16T18:00:00.000Z	31 \| good	2.836 \| good	6.073 \| good	32.675 \| good	0.939 \| good	1.65 \| good	0.138 \| good
2025-11-16T19:00:00.000Z	30 \| good	3.147 \| good	6.319 \| good	32.353 \| good	0.943 \| good	1.898 \| good	0.139 \| good
2025-11-16T20:00:00.000Z	28 \| good	3.513 \| good	7.09 \| good	29.567 \| good	1.176 \| good	2.27 \| good	0.14 \| good
2025-11-16T21:00:00.000Z	25 \| good	3.832 \| good	7.58 \| good	27.347 \| good	1.213 \| good	2.828 \| good	0.141 \| good
2025-11-16T22:00:00.000Z	23 \| good	4.286 \| good	8.033 \| good	25.118 \| good	1.282 \| good	3.504 \| good	0.144 \| good
2025-11-16T23:00:00.000Z	27 \| good	4.892 \| good	9.14 \| good	22.65 \| good	1.169 \| good	3.517 \| good	0.16 \| good
2025-11-17T00:00:00.000Z	27 \| good	5.183 \| good	9.191 \| good	23.176 \| good	1.087 \| good	3.358 \| good	0.16 \| good
2025-11-17T01:00:00.000Z	27 \| good	5.452 \| good	9.866 \| good	25.228 \| good	1.084 \| good	3.453 \| good	0.152 \| good
2025-11-17T02:00:00.000Z	33 \| good	5.794 \| good	9.906 \| good	24.569 \| good	1.084 \| good	3.483 \| good	0.147 \| good
2025-11-17T03:00:00.000Z	33 \| good	5.654 \| good	9.556 \| good	25.964 \| good	1.045 \| good	2.799 \| good	0.144 \| good
2025-11-17T04:00:00.000Z	33 \| good	5.73 \| good	10.144 \| good	26.54 \| good	1.075 \| good	2.51 \| good	0.143 \| good
2025-11-17T05:00:00.000Z	33 \| good	5.783 \| good	10.327 \| good	27.485 \| good	1.099 \| good	2.346 \| good	0.14 \| good
2025-11-17T06:00:00.000Z	33 \| good	5.793 \| good	9.117 \| good	26.42 \| good	1.134 \| good	2.444 \| good	0.139 \| good

Whittlesey

Get reliable air quality data to drive your business

Whittlesey, Cambridgeshire air quality map: Track AQI near you

0.62ppm

How accurate is Cambridgeshire, UK air quality data?

Air quality data and pollutant measurements for Cambridgeshire, 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 Whittlesey, Cambridgeshire updated?

The air quality for Whittlesey, Cambridgeshire is updated every hour.

When was the worst air quality at Whittlesey, Cambridgeshire in the last 24 hrs?

The worst air quality in Whittlesey, Cambridgeshire in the last 24 hours was observed at 08:00:00 on 2025-11-14.

When was the best air quality at Whittlesey, Cambridgeshire in the last 24 hrs?

In the last 24 hrs, the best air quality in Whittlesey, Cambridgeshire was observed at 11:00:00 on 2025-11-14.

What is the current air quality in Whittlesey, Cambridgeshire?

The current air quality in Whittlesey, Cambridgeshire is 33, categorized as Good based on real-time data.

What pollutant is the most common in Whittlesey, Cambridgeshire?

The most common pollutant in Whittlesey, Cambridgeshire is PM2.5.

What should I do if the air quality in Whittlesey, Cambridgeshire is poor?

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

What is the current concentration of PM_2.5 in Whittlesey, Cambridgeshire?

The current PM_2.5 concentration at Whittlesey, Cambridgeshire is 5.681 μg/m³.

What is the current concentration of PM₁₀ in Whittlesey, Cambridgeshire?

The current PM₁₀ concentration at Whittlesey, Cambridgeshire is 7.406 μg/m³.

What is the current concentration of carbon monoxide (CO) in Whittlesey, Cambridgeshire?

The current carbon monoxide (CO) concentration at Whittlesey, Cambridgeshire is 0.062 ppm.

What is the current concentration of sulfur dioxide (SO₂) in Whittlesey, Cambridgeshire?

The current sulfur dioxide (SO₂) concentration at Whittlesey, Cambridgeshire is 0.754 ppb.

What is the current concentration of ozone (O₃) in Whittlesey, Cambridgeshire?

The current ozone (O₃) concentration at Whittlesey, Cambridgeshire is 27.173 ppm.

What is the current concentration of nitrogen dioxide (NO₂) in Whittlesey, Cambridgeshire?

The current nitrogen dioxide (NO₂) concentration at Whittlesey, Cambridgeshire is 2.222 ppb.

Certified

APIs

Refund Policy

Historical Climate Data

Terms & Conditions

Refund Policy

Terms & Conditions

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-11-13T20:00:00.000Z	38 \| good	7.215 \| good	14.572 \| good	22.854 \| good	0.726 \| good	19.405 \| good	0.166 \| good
2025-11-13T21:00:00.000Z	33 \| good	6.416 \| good	25.276 \| good	19.576 \| good	0.554 \| good	13.852 \| good	0.117 \| good
2025-11-13T22:00:00.000Z	44 \| good	8.063 \| good	18.806 \| good	16.097 \| good	0.782 \| good	8.31 \| good	0.114 \| good
2025-11-13T23:00:00.000Z	38 \| good	7.001 \| good	22.518 \| good	14.552 \| good	0.792 \| good	8.113 \| good	0.05 \| good
2025-11-14T00:00:00.000Z	44 \| good	7.506 \| good	24.28 \| good	12.623 \| good	0.596 \| good	7.631 \| good	0.664 \| good
2025-11-14T01:00:00.000Z	44 \| good	7.64 \| good	15.22 \| good	14.613 \| good	0.665 \| good	10.653 \| good	1.359 \| good
2025-11-14T02:00:00.000Z	44 \| good	7.519 \| good	23.991 \| good	12.058 \| good	0.66 \| good	9.283 \| good	1.144 \| good
2025-11-14T03:00:00.000Z	49 \| good	9.128 \| good	25.239 \| good	15.115 \| good	0.702 \| good	2.44 \| good	1.081 \| good
2025-11-14T04:00:00.000Z	33 \| good	5.904 \| good	19.269 \| good	12.084 \| good	0.707 \| good	2.588 \| good	1.047 \| good
2025-11-14T05:00:00.000Z	27 \| good	5.499 \| good	22.927 \| good	14.281 \| good	0.664 \| good	3.678 \| good	0.982 \| good
2025-11-14T06:00:00.000Z	44 \| good	7.501 \| good	21.957 \| good	23.888 \| good	0.89 \| good	2.986 \| good	0.061 \| good
2025-11-14T07:00:00.000Z	44 \| good	7.594 \| good	19.951 \| good	19.829 \| good	0.889 \| good	3.068 \| good	0.06 \| good
2025-11-14T08:00:00.000Z	44 \| good	7.628 \| good	22.345 \| good	24.091 \| good	0.746 \| good	5.715 \| good	0.057 \| good
2025-11-14T09:00:00.000Z	38 \| good	7.173 \| good	21.322 \| good	28.422 \| good	0.838 \| good	7.657 \| good	0.694 \| good
2025-11-14T10:00:00.000Z	38 \| good	7.192 \| good	20.875 \| good	29.963 \| good	1.126 \| good	6.587 \| good	0.041 \| good
2025-11-14T11:00:00.000Z	38 \| good	7.089 \| good	16.255 \| good	30.506 \| good	1.005 \| good	6.686 \| good	0.032 \| good
2025-11-14T12:00:00.000Z	38 \| good	7.408 \| good	18.487 \| good	30.475 \| good	0.915 \| good	6.392 \| good	0.028 \| good
2025-11-14T13:00:00.000Z	33 \| good	6.456 \| good	15.041 \| good	32.735 \| good	0.929 \| good	6.073 \| good	0.027 \| good
2025-11-14T14:00:00.000Z	33 \| good	6.209 \| good	14.384 \| good	31.32 \| good	1.086 \| good	6.272 \| good	0.029 \| good
2025-11-14T15:00:00.000Z	38 \| good	6.771 \| good	14.492 \| good	31.148 \| good	1.308 \| good	5.147 \| good	0.036 \| good
2025-11-14T16:00:00.000Z	38 \| good	6.763 \| good	15.654 \| good	31.456 \| good	1.123 \| good	7.461 \| good	0.045 \| good
2025-11-14T17:00:00.000Z	38 \| good	6.506 \| good	13.878 \| good	33.779 \| good	0.865 \| good	5.77 \| good	0.08 \| good
2025-11-14T18:00:00.000Z	33 \| good	6.363 \| good	16.209 \| good	33.993 \| good	0.611 \| good	5.21 \| good	0.092 \| good
2025-11-14T19:00:00.000Z	33 \| good	5.669 \| good	15.614 \| good	32.982 \| good	0.557 \| good	4.753 \| good	0.12 \| good
2025-11-14T20:00:00.000Z	31 \| good	5.299 \| good	14.179 \| good	34.373 \| good	0.729 \| good	4.079 \| good	0.13 \| good
2025-11-14T21:00:00.000Z	29 \| good	5.007 \| good	12.853 \| good	30.648 \| good	0.563 \| good	3.084 \| good	0.132 \| good
2025-11-14T22:00:00.000Z	23 \| good	4.374 \| good	10.688 \| good	24.989 \| good	0.739 \| good	2.773 \| good	0.097 \| good
2025-11-14T23:00:00.000Z	21 \| good	3.467 \| good	8.252 \| good	23.218 \| good	0.683 \| good	2.241 \| good	0.056 \| good
2025-11-15T00:00:00.000Z	25 \| good	3.202 \| good	8.645 \| good	27.158 \| good	0.729 \| good	2.037 \| good	0.928 \| good
2025-11-15T01:00:00.000Z	26 \| good	2.87 \| good	6.35 \| good	27.901 \| good	0.84 \| good	1.937 \| good	1.369 \| good
2025-11-15T02:00:00.000Z	27 \| good	3.586 \| good	5.443 \| good	28.755 \| good	0.594 \| good	1.417 \| good	1.405 \| good
2025-11-15T03:00:00.000Z	28 \| good	3.383 \| good	4.226 \| good	30.494 \| good	0.662 \| good	1.823 \| good	0.899 \| good
2025-11-15T04:00:00.000Z	29 \| good	3.729 \| good	5.425 \| good	30.969 \| good	0.589 \| good	2.005 \| good	0.758 \| good
2025-11-15T05:00:00.000Z	27 \| good	3.617 \| good	6.116 \| good	29.128 \| good	0.587 \| good	2.535 \| good	0.82 \| good
2025-11-15T06:00:00.000Z	33 \| good	5.681 \| good	7.406 \| good	27.173 \| good	0.754 \| good	2.222 \| good	0.062 \| good
2025-11-15T07:00:00.000Z	27 \| good	4.921 \| good	7.456 \| good	23.452 \| good	0.637 \| good	2.507 \| good	0.062 \| good
2025-11-15T08:00:00.000Z	27 \| good	5.367 \| good	9.45 \| good	21.355 \| good	0.525 \| good	2.928 \| good	0.067 \| good
2025-11-15T09:00:00.000Z	27 \| good	4.871 \| good	8.228 \| good	21.858 \| good	0.518 \| good	4.403 \| good	0.063 \| good
2025-11-15T10:00:00.000Z	33 \| good	6.148 \| good	10.696 \| good	23.321 \| good	0.593 \| good	6.527 \| good	0.053 \| good
2025-11-15T11:00:00.000Z	49 \| good	9.436 \| good	16.241 \| good	11.651 \| good	0.524 \| good	6.996 \| good	0.042 \| good
2025-11-15T12:00:00.000Z	19 \| good	2.691 \| good	5.279 \| good	21.043 \| good	0.765 \| good	4.78 \| good	0.031 \| good
2025-11-15T13:00:00.000Z	16 \| good	2.993 \| good	4.03 \| good	12.593 \| good	0.86 \| good	6.497 \| good	0.025 \| good
2025-11-15T14:00:00.000Z	20 \| good	2.939 \| good	4.766 \| good	21.989 \| good	0.563 \| good	6.954 \| good	0.025 \| good
2025-11-15T15:00:00.000Z	16 \| good	3.284 \| good	9.485 \| good	12.444 \| good	0.683 \| good	5.862 \| good	0.025 \| good
2025-11-15T16:00:00.000Z	22 \| good	3.933 \| good	13.023 \| good	19.625 \| good	0.743 \| good	6.627 \| good	0.05 \| good
2025-11-15T17:00:00.000Z	22 \| good	3.842 \| good	11.556 \| good	19.931 \| good	0.621 \| good	10.486 \| good	0.08 \| good
2025-11-15T18:00:00.000Z	22 \| good	3.59 \| good	23.728 \| good	21.305 \| good	0.875 \| good	11.137 \| good	0.111 \| good
2025-11-15T19:00:00.000Z	26 \| good	3.55 \| good	28.258 \| good	21.063 \| good	0.775 \| good	11.384 \| good	0.098 \| good
2025-11-15T19:00:00.000Z	22 \| good	3.59 \| good	23.728 \| good	21.305 \| good	0.875 \| good	11.137 \| good	0.111 \| good
2025-11-15T07:00:00.000Z	22 \| good	3.802 \| good	5.575 \| good	23.593 \| good	0.426 \| good	2.693 \| good	0.127 \| good
2025-11-15T08:00:00.000Z	22 \| good	4.17 \| good	6.904 \| good	22.943 \| good	0.496 \| good	2.96 \| good	0.131 \| good
2025-11-15T09:00:00.000Z	22 \| good	4.377 \| good	7.398 \| good	22.48 \| good	0.578 \| good	3.087 \| good	0.133 \| good
2025-11-15T10:00:00.000Z	27 \| good	4.742 \| good	7.518 \| good	22.386 \| good	0.639 \| good	3.219 \| good	0.132 \| good
2025-11-15T11:00:00.000Z	27 \| good	4.802 \| good	7.706 \| good	22.185 \| good	0.664 \| good	3.401 \| good	0.132 \| good
2025-11-15T12:00:00.000Z	27 \| good	4.549 \| good	7.615 \| good	21.989 \| good	0.649 \| good	3.368 \| good	0.132 \| good
2025-11-15T13:00:00.000Z	22 \| good	4.198 \| good	7.457 \| good	22.192 \| good	0.555 \| good	3.329 \| good	0.134 \| good
2025-11-15T14:00:00.000Z	22 \| good	3.943 \| good	7.516 \| good	22.701 \| good	0.541 \| good	3.292 \| good	0.133 \| good
2025-11-15T15:00:00.000Z	22 \| good	3.588 \| good	7.446 \| good	23.614 \| good	0.571 \| good	3.251 \| good	0.131 \| good
2025-11-15T16:00:00.000Z	22 \| good	3.365 \| good	7.526 \| good	24.342 \| good	0.547 \| good	3.301 \| good	0.132 \| good
2025-11-15T17:00:00.000Z	23 \| good	3.266 \| good	7.697 \| good	24.53 \| good	0.574 \| good	3.221 \| good	0.133 \| good
2025-11-15T18:00:00.000Z	23 \| good	3.358 \| good	7.679 \| good	25.037 \| good	0.657 \| good	3.261 \| good	0.132 \| good
2025-11-15T19:00:00.000Z	24 \| good	3.402 \| good	7.755 \| good	25.624 \| good	0.662 \| good	3.136 \| good	0.132 \| good
2025-11-15T20:00:00.000Z	24 \| good	3.436 \| good	7.766 \| good	25.79 \| good	0.684 \| good	2.872 \| good	0.131 \| good
2025-11-15T21:00:00.000Z	24 \| good	3.722 \| good	7.62 \| good	26.008 \| good	0.7 \| good	2.527 \| good	0.13 \| good
2025-11-15T22:00:00.000Z	24 \| good	3.581 \| good	7.42 \| good	26.155 \| good	0.682 \| good	2.22 \| good	0.128 \| good
2025-11-15T23:00:00.000Z	24 \| good	3.54 \| good	7.181 \| good	26.327 \| good	0.633 \| good	1.938 \| good	0.126 \| good
2025-11-16T00:00:00.000Z	25 \| good	3.161 \| good	6.965 \| good	26.897 \| good	0.588 \| good	1.754 \| good	0.124 \| good
2025-11-16T01:00:00.000Z	26 \| good	2.75 \| good	6.855 \| good	28.319 \| good	0.519 \| good	1.57 \| good	0.123 \| good
2025-11-16T02:00:00.000Z	28 \| good	2.983 \| good	7.099 \| good	29.611 \| good	0.508 \| good	1.372 \| good	0.121 \| good
2025-11-16T03:00:00.000Z	28 \| good	3.251 \| good	7.494 \| good	30.366 \| good	0.497 \| good	1.22 \| good	0.121 \| good
2025-11-16T04:00:00.000Z	28 \| good	2.829 \| good	7.295 \| good	30.397 \| good	0.499 \| good	1.11 \| good	0.12 \| good
2025-11-16T05:00:00.000Z	28 \| good	2.745 \| good	7.21 \| good	29.648 \| good	0.501 \| good	1.014 \| good	0.121 \| good
2025-11-16T06:00:00.000Z	27 \| good	2.993 \| good	7.242 \| good	28.885 \| good	0.518 \| good	1.037 \| good	0.122 \| good
2025-11-16T07:00:00.000Z	27 \| good	3.294 \| good	7.911 \| good	28.626 \| good	0.557 \| good	0.982 \| good	0.123 \| good
2025-11-16T08:00:00.000Z	28 \| good	3.377 \| good	8.425 \| good	29.68 \| good	0.603 \| good	1.112 \| good	0.125 \| good
2025-11-16T09:00:00.000Z	29 \| good	2.681 \| good	7.954 \| good	31.469 \| good	0.613 \| good	1.09 \| good	0.126 \| good
2025-11-16T10:00:00.000Z	31 \| good	2.371 \| good	7.489 \| good	33.476 \| good	0.606 \| good	1.008 \| good	0.126 \| good
2025-11-16T11:00:00.000Z	32 \| good	2.484 \| good	6.67 \| good	35.319 \| good	0.574 \| good	0.949 \| good	0.125 \| good
2025-11-16T12:00:00.000Z	34 \| good	1.986 \| good	5.917 \| good	36.87 \| good	0.545 \| good	0.884 \| good	0.125 \| good
2025-11-16T13:00:00.000Z	34 \| good	1.891 \| good	5.632 \| good	37.441 \| good	0.531 \| good	0.8 \| good	0.125 \| good
2025-11-16T14:00:00.000Z	34 \| good	2.097 \| good	5.505 \| good	37.292 \| good	0.536 \| good	0.818 \| good	0.126 \| good
2025-11-16T15:00:00.000Z	33 \| good	2.251 \| good	5.699 \| good	36.192 \| good	0.586 \| good	0.907 \| good	0.127 \| good
2025-11-16T16:00:00.000Z	31 \| good	2.31 \| good	5.862 \| good	34.446 \| good	0.727 \| good	1.093 \| good	0.13 \| good
2025-11-16T17:00:00.000Z	31 \| good	2.543 \| good	6.022 \| good	32.872 \| good	0.837 \| good	1.323 \| good	0.135 \| good
2025-11-16T18:00:00.000Z	31 \| good	2.836 \| good	6.073 \| good	32.675 \| good	0.939 \| good	1.65 \| good	0.138 \| good
2025-11-16T19:00:00.000Z	30 \| good	3.147 \| good	6.319 \| good	32.353 \| good	0.943 \| good	1.898 \| good	0.139 \| good
2025-11-16T20:00:00.000Z	28 \| good	3.513 \| good	7.09 \| good	29.567 \| good	1.176 \| good	2.27 \| good	0.14 \| good
2025-11-16T21:00:00.000Z	25 \| good	3.832 \| good	7.58 \| good	27.347 \| good	1.213 \| good	2.828 \| good	0.141 \| good
2025-11-16T22:00:00.000Z	23 \| good	4.286 \| good	8.033 \| good	25.118 \| good	1.282 \| good	3.504 \| good	0.144 \| good
2025-11-16T23:00:00.000Z	27 \| good	4.892 \| good	9.14 \| good	22.65 \| good	1.169 \| good	3.517 \| good	0.16 \| good
2025-11-17T00:00:00.000Z	27 \| good	5.183 \| good	9.191 \| good	23.176 \| good	1.087 \| good	3.358 \| good	0.16 \| good
2025-11-17T01:00:00.000Z	27 \| good	5.452 \| good	9.866 \| good	25.228 \| good	1.084 \| good	3.453 \| good	0.152 \| good
2025-11-17T02:00:00.000Z	33 \| good	5.794 \| good	9.906 \| good	24.569 \| good	1.084 \| good	3.483 \| good	0.147 \| good
2025-11-17T03:00:00.000Z	33 \| good	5.654 \| good	9.556 \| good	25.964 \| good	1.045 \| good	2.799 \| good	0.144 \| good
2025-11-17T04:00:00.000Z	33 \| good	5.73 \| good	10.144 \| good	26.54 \| good	1.075 \| good	2.51 \| good	0.143 \| good
2025-11-17T05:00:00.000Z	33 \| good	5.783 \| good	10.327 \| good	27.485 \| good	1.099 \| good	2.346 \| good	0.14 \| good
2025-11-17T06:00:00.000Z	33 \| good	5.793 \| good	9.117 \| good	26.42 \| good	1.134 \| good	2.444 \| good	0.139 \| good

Whittlesey, Cambridgeshire live air quality index now

Major air pollutants in Whittlesey, Cambridgeshire

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Whittlesey, Cambridgeshire air quality forecast and history

Get reliable air quality data to drive your business

Whittlesey, Cambridgeshire air quality map: Track AQI near you

Air quality in nearby cities

March, Cambridgeshire

Chatteris, Cambridgeshire

Wisbech, Cambridgeshire

St Ives, Cambridgeshire

Spalding, Lincolnshire

Huntingdon, Cambridgeshire

How accurate is Cambridgeshire, UK air quality data?

Air quality levels in UK

Frequently asked questions

How often is the air quality data for Whittlesey, Cambridgeshire updated?

When was the worst air quality at Whittlesey, Cambridgeshire in the last 24 hrs?

When was the best air quality at Whittlesey, Cambridgeshire in the last 24 hrs?

What is the current air quality in Whittlesey, Cambridgeshire?

What pollutant is the most common in Whittlesey, Cambridgeshire?

What should I do if the air quality in Whittlesey, Cambridgeshire is poor?

What is the current concentration of PM2.5 in Whittlesey, Cambridgeshire?

What is the current concentration of PM10 in Whittlesey, Cambridgeshire?

What is the current concentration of carbon monoxide (CO) in Whittlesey, Cambridgeshire?

What is the current concentration of sulfur dioxide (SO2) in Whittlesey, Cambridgeshire?

What is the current concentration of ozone (O3) in Whittlesey, Cambridgeshire?

What is the current concentration of nitrogen dioxide (NO2) in Whittlesey, Cambridgeshire?

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 Whittlesey, Cambridgeshire?

What is the current concentration of PM₁₀ in Whittlesey, Cambridgeshire?

What is the current concentration of sulfur dioxide (SO₂) in Whittlesey, Cambridgeshire?

What is the current concentration of ozone (O₃) in Whittlesey, Cambridgeshire?

What is the current concentration of nitrogen dioxide (NO₂) in Whittlesey, Cambridgeshire?