What are the current PM10 levels at Caversham, Reading?

The current PM10 levels in Caversham, Reading are 12.309 μg/m3.

What are the current sulfur dioxide (SO2) levels at Caversham, Reading?

The current sulfur dioxide (SO2) levels in Caversham, Reading are 0.758 ppb.

What are the current ozone (O3) levels at Caversham, Reading?

The current ozone (O3) levels at Caversham, Reading is 31.125 ppm.

What are the current nitrogen dioxide (NO2) levels at Caversham, Reading?

The current nitrogen dioxide (NO2) levels at Caversham, Reading is 5.943 ppb.

Live air quality index in Caversham, Reading today

Name: Live air pollution levels in Caversham, Reading today
Creator: Ambee

Stay updated with real-time air quality in Caversham, Reading 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

Caversham, Reading

Last updated: ... (Local time)

Major air pollutants in Caversham, Reading

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

3.62 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

12.31 μg/m³

155

255

425

605+

Ozone (O₃)

31.13 ppb

201

201+

Sulfur Dioxide (SO₂)

0.76 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

5.94 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.02 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

High

Caversham, Reading

Get Live Pollen Counts

Caversham, Reading

Scroll To Air Quality Map

Track live Caversham, Reading air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-06-02T16:00:00.000Z	31 \| good	3.747 \| good	10.359 \| good	33.414 \| good	0.677 \| good	3.726 \| good	0.02 \| good
2025-06-02T17:00:00.000Z	31 \| good	3.747 \| good	10.359 \| good	34.184 \| good	0.868 \| good	4.951 \| good	0.022 \| good
2025-06-02T18:00:00.000Z	32 \| good	3.747 \| good	10.359 \| good	34.954 \| good	0.597 \| good	4.746 \| good	0.022 \| good
2025-06-02T19:00:00.000Z	32 \| good	3.747 \| good	10.359 \| good	35.211 \| good	0.743 \| good	3.281 \| good	0.025 \| good
2025-06-02T20:00:00.000Z	32 \| good	3.823 \| good	10.742 \| good	35.467 \| good	0.661 \| good	2.466 \| good	0.027 \| good
2025-06-02T21:00:00.000Z	32 \| good	3.823 \| good	10.742 \| good	35.21 \| good	0.662 \| good	2.262 \| good	0.032 \| good
2025-06-02T22:00:00.000Z	32 \| good	3.823 \| good	10.742 \| good	34.953 \| good	0.76 \| good	2.633 \| good	0.031 \| good
2025-06-02T23:00:00.000Z	31 \| good	3.938 \| good	11.436 \| good	34.44 \| good	0.917 \| good	2.63 \| good	0.043 \| good
2025-06-03T00:00:00.000Z	34 \| good	4.061 \| good	12.305 \| good	36.734 \| good	0.731 \| good	3.728 \| good	0.34 \| good
2025-06-03T01:00:00.000Z	32 \| good	4.227 \| good	12.857 \| good	34.694 \| good	0.66 \| good	4.254 \| good	0.316 \| good
2025-06-03T02:00:00.000Z	30 \| good	4.227 \| good	12.857 \| good	32.146 \| good	0.663 \| good	5.076 \| good	0.295 \| good
2025-06-03T03:00:00.000Z	29 \| good	4.227 \| good	12.857 \| good	30.617 \| good	0.76 \| good	4.604 \| good	0.294 \| good
2025-06-03T04:00:00.000Z	28 \| good	4.227 \| good	12.858 \| good	30.107 \| good	0.665 \| good	2.13 \| good	0.332 \| good
2025-06-03T05:00:00.000Z	27 \| good	4.707 \| good	11.59 \| good	28.302 \| good	0.816 \| good	2.676 \| good	0.267 \| good
2025-06-03T06:00:00.000Z	27 \| good	4.783 \| good	11.973 \| good	28.302 \| good	0.811 \| good	2.843 \| good	0.341 \| good
2025-06-03T07:00:00.000Z	27 \| good	4.783 \| good	11.973 \| good	28.302 \| good	0.815 \| good	2.842 \| good	0.255 \| good
2025-06-03T08:00:00.000Z	27 \| good	4.784 \| good	11.973 \| good	28.558 \| good	0.819 \| good	3.378 \| good	0.198 \| good
2025-06-03T09:00:00.000Z	27 \| good	4.784 \| good	12.283 \| good	28.814 \| good	0.906 \| good	3.747 \| good	0.16 \| good
2025-06-03T10:00:00.000Z	27 \| good	4.784 \| good	12.283 \| good	29.069 \| good	0.907 \| good	3.378 \| good	0.156 \| good
2025-06-03T11:00:00.000Z	27 \| good	4.783 \| good	11.973 \| good	29.069 \| good	0.709 \| good	3.213 \| good	0.139 \| good
2025-06-03T12:00:00.000Z	27 \| good	4.783 \| good	11.973 \| good	28.812 \| good	0.794 \| good	3.213 \| good	0.153 \| good
2025-06-03T13:00:00.000Z	27 \| good	4.707 \| good	11.59 \| good	28.554 \| good	0.858 \| good	3.213 \| good	0.146 \| good
2025-06-03T14:00:00.000Z	27 \| good	4.707 \| good	11.59 \| good	28.298 \| good	0.792 \| good	3.988 \| good	0.151 \| good
2025-06-03T15:00:00.000Z	27 \| good	4.592 \| good	11.206 \| good	27.786 \| good	0.79 \| good	3.783 \| good	0.144 \| good
2025-06-03T16:00:00.000Z	27 \| good	4.592 \| good	11.206 \| good	27.532 \| good	0.79 \| good	4.026 \| good	0.155 \| good
2025-06-03T17:00:00.000Z	27 \| good	4.707 \| good	11.59 \| good	27.533 \| good	0.92 \| good	5.085 \| good	0.165 \| good
2025-06-03T18:00:00.000Z	27 \| good	4.707 \| good	11.59 \| good	28.046 \| good	0.858 \| good	9.734 \| good	0.17 \| good
2025-06-03T19:00:00.000Z	27 \| good	4.592 \| good	11.206 \| good	28.816 \| good	0.857 \| good	8.23 \| good	0.189 \| good
2025-06-03T20:00:00.000Z	27 \| good	4.592 \| good	11.206 \| good	29.073 \| good	0.858 \| good	8.765 \| good	0.198 \| good
2025-06-03T21:00:00.000Z	28 \| good	4.592 \| good	11.206 \| good	29.587 \| good	0.849 \| good	8.803 \| good	0.255 \| good
2025-06-03T22:00:00.000Z	28 \| good	4.592 \| good	11.205 \| good	29.843 \| good	0.979 \| good	6.193 \| good	0.29 \| good
2025-06-03T23:00:00.000Z	28 \| good	4.592 \| good	11.205 \| good	29.841 \| good	0.994 \| good	4.768 \| good	0.336 \| good
2025-06-04T00:00:00.000Z	30 \| good	4.062 \| good	11.865 \| good	32.141 \| good	0.728 \| good	4.793 \| good	0.29 \| good
2025-06-04T01:00:00.000Z	29 \| good	3.952 \| good	11.314 \| good	30.61 \| good	0.733 \| good	5.614 \| good	0.34 \| good
2025-06-04T02:00:00.000Z	27 \| good	3.505 \| good	11.314 \| good	28.57 \| good	0.731 \| good	3.725 \| good	0.347 \| good
2025-06-04T03:00:00.000Z	25 \| good	3.505 \| good	11.314 \| good	26.531 \| good	0.802 \| good	3.487 \| good	0.299 \| good
2025-06-04T04:00:00.000Z	22 \| good	3.505 \| good	11.314 \| good	24.493 \| good	0.734 \| good	2.66 \| good	0.276 \| good
2025-06-04T05:00:00.000Z	20 \| good	3.338 \| good	10.763 \| good	22.455 \| good	0.665 \| good	2.131 \| good	0.045 \| good
2025-06-04T06:00:00.000Z	19 \| good	3.338 \| good	10.763 \| good	20.416 \| good	0.662 \| good	2.962 \| good	0.03 \| good
2025-06-04T07:00:00.000Z	18 \| good	3.228 \| good	10.21 \| good	18.888 \| good	0.652 \| good	3.733 \| good	0.026 \| good
2025-06-04T08:00:00.000Z	18 \| good	3.227 \| good	10.208 \| good	18.889 \| good	0.656 \| good	5.03 \| good	0.022 \| good
2025-06-04T09:00:00.000Z	19 \| good	3.227 \| good	9.761 \| good	19.909 \| good	0.708 \| good	6.66 \| good	0.022 \| good
2025-06-04T10:00:00.000Z	20 \| good	3.337 \| good	10.759 \| good	21.948 \| good	0.709 \| good	4.955 \| good	0.019 \| good
2025-06-04T11:00:00.000Z	22 \| good	3.339 \| good	10.759 \| good	23.986 \| good	0.804 \| good	5.067 \| good	0.021 \| good
2025-06-04T12:00:00.000Z	24 \| good	3.505 \| good	11.312 \| good	26.025 \| good	0.707 \| good	8.238 \| good	0.022 \| good
2025-06-04T13:00:00.000Z	27 \| good	3.505 \| good	11.311 \| good	28.575 \| good	0.709 \| good	5.357 \| good	0.022 \| good
2025-06-04T14:00:00.000Z	29 \| good	3.615 \| good	12.309 \| good	31.125 \| good	0.758 \| good	5.943 \| good	0.022 \| good
2025-06-04T15:00:00.000Z	31 \| good	3.615 \| good	12.308 \| good	34.185 \| good	0.757 \| good	6.821 \| good	0.021 \| good
2025-06-04T15:00:00.000Z	29 \| good	3.615 \| good	12.309 \| good	31.125 \| good	0.758 \| good	5.943 \| good	0.022 \| good
2025-06-04T16:00:00.000Z	34 \| good	3.42 \| good	6.213 \| good	37.29 \| good	0.092 \| good	2.996 \| good	0.115 \| good
2025-06-04T17:00:00.000Z	33 \| good	3.315 \| good	5.296 \| good	36.395 \| good	0.123 \| good	3.452 \| good	0.117 \| good
2025-06-04T18:00:00.000Z	34 \| good	3.267 \| good	4.388 \| good	36.788 \| good	0.111 \| good	3.121 \| good	0.118 \| good
2025-06-04T19:00:00.000Z	33 \| good	3.641 \| good	5.153 \| good	35.544 \| good	0.133 \| good	3.166 \| good	0.119 \| good
2025-06-04T20:00:00.000Z	31 \| good	4.025 \| good	5.473 \| good	32.956 \| good	0.157 \| good	3.361 \| good	0.123 \| good
2025-06-04T21:00:00.000Z	29 \| good	4.224 \| good	5.917 \| good	31.471 \| good	0.186 \| good	3.605 \| good	0.123 \| good
2025-06-04T22:00:00.000Z	27 \| good	4.933 \| good	6.942 \| good	28.994 \| good	0.192 \| good	3.822 \| good	0.124 \| good
2025-06-04T23:00:00.000Z	27 \| good	5.444 \| good	7.927 \| good	26.989 \| good	0.161 \| good	3.747 \| good	0.123 \| good
2025-06-05T00:00:00.000Z	33 \| good	6.237 \| good	9.082 \| good	25.928 \| good	0.157 \| good	3.433 \| good	0.122 \| good
2025-06-05T01:00:00.000Z	38 \| good	7.137 \| good	10.143 \| good	25.579 \| good	0.152 \| good	2.864 \| good	0.121 \| good
2025-06-05T02:00:00.000Z	44 \| good	7.768 \| good	10.54 \| good	25.843 \| good	0.145 \| good	2.57 \| good	0.122 \| good
2025-06-05T03:00:00.000Z	44 \| good	8.13 \| good	10.951 \| good	25.488 \| good	0.131 \| good	2.345 \| good	0.122 \| good
2025-06-05T04:00:00.000Z	44 \| good	8.344 \| good	11.621 \| good	25.961 \| good	0.126 \| good	2.03 \| good	0.123 \| good
2025-06-05T05:00:00.000Z	38 \| good	7.476 \| good	10.939 \| good	28.094 \| good	0.122 \| good	1.846 \| good	0.121 \| good
2025-06-05T06:00:00.000Z	27 \| good	5.451 \| good	8.159 \| good	28.66 \| good	0.113 \| good	2.646 \| good	0.118 \| good
2025-06-05T07:00:00.000Z	27 \| good	4.069 \| good	5.365 \| good	29.3 \| good	0.124 \| good	3.693 \| good	0.115 \| good
2025-06-05T08:00:00.000Z	27 \| good	4.883 \| good	6.217 \| good	28.568 \| good	0.112 \| good	4.361 \| good	0.117 \| good
2025-06-05T09:00:00.000Z	33 \| good	6.449 \| good	7.819 \| good	31.857 \| good	0.127 \| good	4.775 \| good	0.122 \| good
2025-06-05T10:00:00.000Z	44 \| good	8.259 \| good	10.287 \| good	35.349 \| good	0.101 \| good	2.597 \| good	0.123 \| good
2025-06-05T11:00:00.000Z	38 \| good	7.442 \| good	11.005 \| good	36.845 \| good	0.088 \| good	2.348 \| good	0.123 \| good
2025-06-05T12:00:00.000Z	37 \| good	6.473 \| good	9.489 \| good	39.561 \| good	0.086 \| good	2.27 \| good	0.123 \| good
2025-06-05T13:00:00.000Z	37 \| good	6.295 \| good	9.068 \| good	39.635 \| good	0.086 \| good	2.341 \| good	0.123 \| good
2025-06-05T14:00:00.000Z	38 \| good	7.111 \| good	10.138 \| good	38.35 \| good	0.089 \| good	2.348 \| good	0.12 \| good
2025-06-05T15:00:00.000Z	38 \| good	7.305 \| good	10.849 \| good	37.327 \| good	0.091 \| good	2.556 \| good	0.122 \| good
2025-06-05T16:00:00.000Z	44 \| good	7.527 \| good	11.09 \| good	35.692 \| good	0.097 \| good	3.182 \| good	0.124 \| good
2025-06-05T17:00:00.000Z	44 \| good	7.503 \| good	10.276 \| good	34.273 \| good	0.106 \| good	3.96 \| good	0.127 \| good
2025-06-05T18:00:00.000Z	44 \| good	7.601 \| good	10.002 \| good	33.261 \| good	0.124 \| good	4.155 \| good	0.127 \| good
2025-06-05T19:00:00.000Z	38 \| good	7.482 \| good	9.773 \| good	31.931 \| good	0.157 \| good	4.193 \| good	0.127 \| good
2025-06-05T20:00:00.000Z	44 \| good	7.553 \| good	9.916 \| good	28.794 \| good	0.167 \| good	4.443 \| good	0.128 \| good
2025-06-05T21:00:00.000Z	38 \| good	7.472 \| good	9.57 \| good	26.827 \| good	0.218 \| good	4.986 \| good	0.129 \| good
2025-06-05T22:00:00.000Z	38 \| good	6.962 \| good	9.624 \| good	26.538 \| good	0.223 \| good	5 \| good	0.129 \| good
2025-06-05T23:00:00.000Z	33 \| good	6.119 \| good	8.877 \| good	26.125 \| good	0.177 \| good	4.24 \| good	0.128 \| good
2025-06-06T00:00:00.000Z	33 \| good	6.149 \| good	9.788 \| good	25.594 \| good	0.158 \| good	3.554 \| good	0.126 \| good
2025-06-06T01:00:00.000Z	33 \| good	6.12 \| good	10.172 \| good	26.022 \| good	0.147 \| good	2.757 \| good	0.126 \| good
2025-06-06T02:00:00.000Z	33 \| good	6.096 \| good	9.613 \| good	26.17 \| good	0.143 \| good	2.397 \| good	0.124 \| good
2025-06-06T03:00:00.000Z	33 \| good	5.863 \| good	9.298 \| good	25.268 \| good	0.141 \| good	2.347 \| good	0.125 \| good
2025-06-06T04:00:00.000Z	33 \| good	6.021 \| good	9.088 \| good	24.68 \| good	0.139 \| good	2.317 \| good	0.125 \| good
2025-06-06T05:00:00.000Z	33 \| good	6.12 \| good	9.354 \| good	25.431 \| good	0.117 \| good	2.12 \| good	0.124 \| good
2025-06-06T06:00:00.000Z	38 \| good	6.536 \| good	9.905 \| good	28.197 \| good	0.117 \| good	2.463 \| good	0.127 \| good
2025-06-06T07:00:00.000Z	38 \| good	6.525 \| good	9.882 \| good	29.233 \| good	0.133 \| good	3.655 \| good	0.131 \| good
2025-06-06T08:00:00.000Z	33 \| good	5.731 \| good	8.259 \| good	30.027 \| good	0.119 \| good	3.27 \| good	0.127 \| good
2025-06-06T09:00:00.000Z	30 \| good	4.708 \| good	6.175 \| good	32.258 \| good	0.104 \| good	2.502 \| good	0.125 \| good
2025-06-06T10:00:00.000Z	31 \| good	4.026 \| good	5.3 \| good	33.387 \| good	0.088 \| good	2.101 \| good	0.122 \| good
2025-06-06T11:00:00.000Z	32 \| good	4.205 \| good	5.021 \| good	35.041 \| good	0.1 \| good	1.943 \| good	0.123 \| good
2025-06-06T12:00:00.000Z	36 \| good	4.438 \| good	5.187 \| good	38.852 \| good	0.115 \| good	1.763 \| good	0.12 \| good
2025-06-06T13:00:00.000Z	38 \| good	4.905 \| good	6.057 \| good	41.468 \| good	0.128 \| good	1.523 \| good	0.118 \| good
2025-06-06T14:00:00.000Z	41 \| good	5.458 \| good	7.461 \| good	44.289 \| good	0.132 \| good	1.554 \| good	0.117 \| good
2025-06-06T15:00:00.000Z	42 \| good	5.27 \| good	7.74 \| good	44.974 \| good	0.122 \| good	1.822 \| good	0.111 \| good

Caversham

Empower business decisions with accurate air quality data

Caversham, Reading air quality map: Real-time AQI near you

0.02ppm

How accurate is Reading, UK air quality data?

Air quality measurements for Reading, 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

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 frequently is the air quality data for Caversham, Reading updated?

Air quality data for Caversham, Reading is updated on an hourly basis.

When did Caversham, Reading experience the worst air quality in the last 24 hours?

The worst air quality in Caversham, Reading was recorded at 12:00:00 on 2025-06-04.

When did Caversham, Reading have its best air quality in the last 24 hours?

The best air quality in Caversham, Reading was recorded at 08:00:00 on 2025-06-04.

What is the real-time air quality index for Caversham, Reading?

The real-time air quality index in Caversham, Reading is 29, currently categorized as Good.

Which pollutant is found most often in Caversham, Reading?

The most common pollutant in Caversham, Reading is O3.

What can I do if the air quality in Caversham, Reading is poor?

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

What are the current PM_2.5 levels in Caversham, Reading?

The measured PM_2.5 levels in Caversham, Reading at present are 3.615 μg/m³.

What are the current PM₁₀ levels at Caversham, Reading?

The current PM₁₀ levels in Caversham, Reading are 12.309 μg/m³.

What are the current carbon monoxide (CO) levels at Caversham, Reading?

The current carbon monoxide (CO) level in Caversham, Reading is 0.022 ppm.

What are the current sulfur dioxide (SO₂) levels at Caversham, Reading?

The current sulfur dioxide (SO₂) levels in Caversham, Reading are 0.758 ppb.

What are the current ozone (O₃) levels at Caversham, Reading?

The current ozone (O₃) levels at Caversham, Reading is 31.125 ppm.

What are the current nitrogen dioxide (NO₂) levels at Caversham, Reading?

The current nitrogen dioxide (NO₂) levels at Caversham, Reading is 5.943 ppb.

Certified

APIs

Refund Policy

Historical Climate Data

Terms & Conditions

Refund Policy

Terms & Conditions

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-06-02T16:00:00.000Z	31 \| good	3.747 \| good	10.359 \| good	33.414 \| good	0.677 \| good	3.726 \| good	0.02 \| good
2025-06-02T17:00:00.000Z	31 \| good	3.747 \| good	10.359 \| good	34.184 \| good	0.868 \| good	4.951 \| good	0.022 \| good
2025-06-02T18:00:00.000Z	32 \| good	3.747 \| good	10.359 \| good	34.954 \| good	0.597 \| good	4.746 \| good	0.022 \| good
2025-06-02T19:00:00.000Z	32 \| good	3.747 \| good	10.359 \| good	35.211 \| good	0.743 \| good	3.281 \| good	0.025 \| good
2025-06-02T20:00:00.000Z	32 \| good	3.823 \| good	10.742 \| good	35.467 \| good	0.661 \| good	2.466 \| good	0.027 \| good
2025-06-02T21:00:00.000Z	32 \| good	3.823 \| good	10.742 \| good	35.21 \| good	0.662 \| good	2.262 \| good	0.032 \| good
2025-06-02T22:00:00.000Z	32 \| good	3.823 \| good	10.742 \| good	34.953 \| good	0.76 \| good	2.633 \| good	0.031 \| good
2025-06-02T23:00:00.000Z	31 \| good	3.938 \| good	11.436 \| good	34.44 \| good	0.917 \| good	2.63 \| good	0.043 \| good
2025-06-03T00:00:00.000Z	34 \| good	4.061 \| good	12.305 \| good	36.734 \| good	0.731 \| good	3.728 \| good	0.34 \| good
2025-06-03T01:00:00.000Z	32 \| good	4.227 \| good	12.857 \| good	34.694 \| good	0.66 \| good	4.254 \| good	0.316 \| good
2025-06-03T02:00:00.000Z	30 \| good	4.227 \| good	12.857 \| good	32.146 \| good	0.663 \| good	5.076 \| good	0.295 \| good
2025-06-03T03:00:00.000Z	29 \| good	4.227 \| good	12.857 \| good	30.617 \| good	0.76 \| good	4.604 \| good	0.294 \| good
2025-06-03T04:00:00.000Z	28 \| good	4.227 \| good	12.858 \| good	30.107 \| good	0.665 \| good	2.13 \| good	0.332 \| good
2025-06-03T05:00:00.000Z	27 \| good	4.707 \| good	11.59 \| good	28.302 \| good	0.816 \| good	2.676 \| good	0.267 \| good
2025-06-03T06:00:00.000Z	27 \| good	4.783 \| good	11.973 \| good	28.302 \| good	0.811 \| good	2.843 \| good	0.341 \| good
2025-06-03T07:00:00.000Z	27 \| good	4.783 \| good	11.973 \| good	28.302 \| good	0.815 \| good	2.842 \| good	0.255 \| good
2025-06-03T08:00:00.000Z	27 \| good	4.784 \| good	11.973 \| good	28.558 \| good	0.819 \| good	3.378 \| good	0.198 \| good
2025-06-03T09:00:00.000Z	27 \| good	4.784 \| good	12.283 \| good	28.814 \| good	0.906 \| good	3.747 \| good	0.16 \| good
2025-06-03T10:00:00.000Z	27 \| good	4.784 \| good	12.283 \| good	29.069 \| good	0.907 \| good	3.378 \| good	0.156 \| good
2025-06-03T11:00:00.000Z	27 \| good	4.783 \| good	11.973 \| good	29.069 \| good	0.709 \| good	3.213 \| good	0.139 \| good
2025-06-03T12:00:00.000Z	27 \| good	4.783 \| good	11.973 \| good	28.812 \| good	0.794 \| good	3.213 \| good	0.153 \| good
2025-06-03T13:00:00.000Z	27 \| good	4.707 \| good	11.59 \| good	28.554 \| good	0.858 \| good	3.213 \| good	0.146 \| good
2025-06-03T14:00:00.000Z	27 \| good	4.707 \| good	11.59 \| good	28.298 \| good	0.792 \| good	3.988 \| good	0.151 \| good
2025-06-03T15:00:00.000Z	27 \| good	4.592 \| good	11.206 \| good	27.786 \| good	0.79 \| good	3.783 \| good	0.144 \| good
2025-06-03T16:00:00.000Z	27 \| good	4.592 \| good	11.206 \| good	27.532 \| good	0.79 \| good	4.026 \| good	0.155 \| good
2025-06-03T17:00:00.000Z	27 \| good	4.707 \| good	11.59 \| good	27.533 \| good	0.92 \| good	5.085 \| good	0.165 \| good
2025-06-03T18:00:00.000Z	27 \| good	4.707 \| good	11.59 \| good	28.046 \| good	0.858 \| good	9.734 \| good	0.17 \| good
2025-06-03T19:00:00.000Z	27 \| good	4.592 \| good	11.206 \| good	28.816 \| good	0.857 \| good	8.23 \| good	0.189 \| good
2025-06-03T20:00:00.000Z	27 \| good	4.592 \| good	11.206 \| good	29.073 \| good	0.858 \| good	8.765 \| good	0.198 \| good
2025-06-03T21:00:00.000Z	28 \| good	4.592 \| good	11.206 \| good	29.587 \| good	0.849 \| good	8.803 \| good	0.255 \| good
2025-06-03T22:00:00.000Z	28 \| good	4.592 \| good	11.205 \| good	29.843 \| good	0.979 \| good	6.193 \| good	0.29 \| good
2025-06-03T23:00:00.000Z	28 \| good	4.592 \| good	11.205 \| good	29.841 \| good	0.994 \| good	4.768 \| good	0.336 \| good
2025-06-04T00:00:00.000Z	30 \| good	4.062 \| good	11.865 \| good	32.141 \| good	0.728 \| good	4.793 \| good	0.29 \| good
2025-06-04T01:00:00.000Z	29 \| good	3.952 \| good	11.314 \| good	30.61 \| good	0.733 \| good	5.614 \| good	0.34 \| good
2025-06-04T02:00:00.000Z	27 \| good	3.505 \| good	11.314 \| good	28.57 \| good	0.731 \| good	3.725 \| good	0.347 \| good
2025-06-04T03:00:00.000Z	25 \| good	3.505 \| good	11.314 \| good	26.531 \| good	0.802 \| good	3.487 \| good	0.299 \| good
2025-06-04T04:00:00.000Z	22 \| good	3.505 \| good	11.314 \| good	24.493 \| good	0.734 \| good	2.66 \| good	0.276 \| good
2025-06-04T05:00:00.000Z	20 \| good	3.338 \| good	10.763 \| good	22.455 \| good	0.665 \| good	2.131 \| good	0.045 \| good
2025-06-04T06:00:00.000Z	19 \| good	3.338 \| good	10.763 \| good	20.416 \| good	0.662 \| good	2.962 \| good	0.03 \| good
2025-06-04T07:00:00.000Z	18 \| good	3.228 \| good	10.21 \| good	18.888 \| good	0.652 \| good	3.733 \| good	0.026 \| good
2025-06-04T08:00:00.000Z	18 \| good	3.227 \| good	10.208 \| good	18.889 \| good	0.656 \| good	5.03 \| good	0.022 \| good
2025-06-04T09:00:00.000Z	19 \| good	3.227 \| good	9.761 \| good	19.909 \| good	0.708 \| good	6.66 \| good	0.022 \| good
2025-06-04T10:00:00.000Z	20 \| good	3.337 \| good	10.759 \| good	21.948 \| good	0.709 \| good	4.955 \| good	0.019 \| good
2025-06-04T11:00:00.000Z	22 \| good	3.339 \| good	10.759 \| good	23.986 \| good	0.804 \| good	5.067 \| good	0.021 \| good
2025-06-04T12:00:00.000Z	24 \| good	3.505 \| good	11.312 \| good	26.025 \| good	0.707 \| good	8.238 \| good	0.022 \| good
2025-06-04T13:00:00.000Z	27 \| good	3.505 \| good	11.311 \| good	28.575 \| good	0.709 \| good	5.357 \| good	0.022 \| good
2025-06-04T14:00:00.000Z	29 \| good	3.615 \| good	12.309 \| good	31.125 \| good	0.758 \| good	5.943 \| good	0.022 \| good
2025-06-04T15:00:00.000Z	31 \| good	3.615 \| good	12.308 \| good	34.185 \| good	0.757 \| good	6.821 \| good	0.021 \| good
2025-06-04T15:00:00.000Z	29 \| good	3.615 \| good	12.309 \| good	31.125 \| good	0.758 \| good	5.943 \| good	0.022 \| good
2025-06-04T16:00:00.000Z	34 \| good	3.42 \| good	6.213 \| good	37.29 \| good	0.092 \| good	2.996 \| good	0.115 \| good
2025-06-04T17:00:00.000Z	33 \| good	3.315 \| good	5.296 \| good	36.395 \| good	0.123 \| good	3.452 \| good	0.117 \| good
2025-06-04T18:00:00.000Z	34 \| good	3.267 \| good	4.388 \| good	36.788 \| good	0.111 \| good	3.121 \| good	0.118 \| good
2025-06-04T19:00:00.000Z	33 \| good	3.641 \| good	5.153 \| good	35.544 \| good	0.133 \| good	3.166 \| good	0.119 \| good
2025-06-04T20:00:00.000Z	31 \| good	4.025 \| good	5.473 \| good	32.956 \| good	0.157 \| good	3.361 \| good	0.123 \| good
2025-06-04T21:00:00.000Z	29 \| good	4.224 \| good	5.917 \| good	31.471 \| good	0.186 \| good	3.605 \| good	0.123 \| good
2025-06-04T22:00:00.000Z	27 \| good	4.933 \| good	6.942 \| good	28.994 \| good	0.192 \| good	3.822 \| good	0.124 \| good
2025-06-04T23:00:00.000Z	27 \| good	5.444 \| good	7.927 \| good	26.989 \| good	0.161 \| good	3.747 \| good	0.123 \| good
2025-06-05T00:00:00.000Z	33 \| good	6.237 \| good	9.082 \| good	25.928 \| good	0.157 \| good	3.433 \| good	0.122 \| good
2025-06-05T01:00:00.000Z	38 \| good	7.137 \| good	10.143 \| good	25.579 \| good	0.152 \| good	2.864 \| good	0.121 \| good
2025-06-05T02:00:00.000Z	44 \| good	7.768 \| good	10.54 \| good	25.843 \| good	0.145 \| good	2.57 \| good	0.122 \| good
2025-06-05T03:00:00.000Z	44 \| good	8.13 \| good	10.951 \| good	25.488 \| good	0.131 \| good	2.345 \| good	0.122 \| good
2025-06-05T04:00:00.000Z	44 \| good	8.344 \| good	11.621 \| good	25.961 \| good	0.126 \| good	2.03 \| good	0.123 \| good
2025-06-05T05:00:00.000Z	38 \| good	7.476 \| good	10.939 \| good	28.094 \| good	0.122 \| good	1.846 \| good	0.121 \| good
2025-06-05T06:00:00.000Z	27 \| good	5.451 \| good	8.159 \| good	28.66 \| good	0.113 \| good	2.646 \| good	0.118 \| good
2025-06-05T07:00:00.000Z	27 \| good	4.069 \| good	5.365 \| good	29.3 \| good	0.124 \| good	3.693 \| good	0.115 \| good
2025-06-05T08:00:00.000Z	27 \| good	4.883 \| good	6.217 \| good	28.568 \| good	0.112 \| good	4.361 \| good	0.117 \| good
2025-06-05T09:00:00.000Z	33 \| good	6.449 \| good	7.819 \| good	31.857 \| good	0.127 \| good	4.775 \| good	0.122 \| good
2025-06-05T10:00:00.000Z	44 \| good	8.259 \| good	10.287 \| good	35.349 \| good	0.101 \| good	2.597 \| good	0.123 \| good
2025-06-05T11:00:00.000Z	38 \| good	7.442 \| good	11.005 \| good	36.845 \| good	0.088 \| good	2.348 \| good	0.123 \| good
2025-06-05T12:00:00.000Z	37 \| good	6.473 \| good	9.489 \| good	39.561 \| good	0.086 \| good	2.27 \| good	0.123 \| good
2025-06-05T13:00:00.000Z	37 \| good	6.295 \| good	9.068 \| good	39.635 \| good	0.086 \| good	2.341 \| good	0.123 \| good
2025-06-05T14:00:00.000Z	38 \| good	7.111 \| good	10.138 \| good	38.35 \| good	0.089 \| good	2.348 \| good	0.12 \| good
2025-06-05T15:00:00.000Z	38 \| good	7.305 \| good	10.849 \| good	37.327 \| good	0.091 \| good	2.556 \| good	0.122 \| good
2025-06-05T16:00:00.000Z	44 \| good	7.527 \| good	11.09 \| good	35.692 \| good	0.097 \| good	3.182 \| good	0.124 \| good
2025-06-05T17:00:00.000Z	44 \| good	7.503 \| good	10.276 \| good	34.273 \| good	0.106 \| good	3.96 \| good	0.127 \| good
2025-06-05T18:00:00.000Z	44 \| good	7.601 \| good	10.002 \| good	33.261 \| good	0.124 \| good	4.155 \| good	0.127 \| good
2025-06-05T19:00:00.000Z	38 \| good	7.482 \| good	9.773 \| good	31.931 \| good	0.157 \| good	4.193 \| good	0.127 \| good
2025-06-05T20:00:00.000Z	44 \| good	7.553 \| good	9.916 \| good	28.794 \| good	0.167 \| good	4.443 \| good	0.128 \| good
2025-06-05T21:00:00.000Z	38 \| good	7.472 \| good	9.57 \| good	26.827 \| good	0.218 \| good	4.986 \| good	0.129 \| good
2025-06-05T22:00:00.000Z	38 \| good	6.962 \| good	9.624 \| good	26.538 \| good	0.223 \| good	5 \| good	0.129 \| good
2025-06-05T23:00:00.000Z	33 \| good	6.119 \| good	8.877 \| good	26.125 \| good	0.177 \| good	4.24 \| good	0.128 \| good
2025-06-06T00:00:00.000Z	33 \| good	6.149 \| good	9.788 \| good	25.594 \| good	0.158 \| good	3.554 \| good	0.126 \| good
2025-06-06T01:00:00.000Z	33 \| good	6.12 \| good	10.172 \| good	26.022 \| good	0.147 \| good	2.757 \| good	0.126 \| good
2025-06-06T02:00:00.000Z	33 \| good	6.096 \| good	9.613 \| good	26.17 \| good	0.143 \| good	2.397 \| good	0.124 \| good
2025-06-06T03:00:00.000Z	33 \| good	5.863 \| good	9.298 \| good	25.268 \| good	0.141 \| good	2.347 \| good	0.125 \| good
2025-06-06T04:00:00.000Z	33 \| good	6.021 \| good	9.088 \| good	24.68 \| good	0.139 \| good	2.317 \| good	0.125 \| good
2025-06-06T05:00:00.000Z	33 \| good	6.12 \| good	9.354 \| good	25.431 \| good	0.117 \| good	2.12 \| good	0.124 \| good
2025-06-06T06:00:00.000Z	38 \| good	6.536 \| good	9.905 \| good	28.197 \| good	0.117 \| good	2.463 \| good	0.127 \| good
2025-06-06T07:00:00.000Z	38 \| good	6.525 \| good	9.882 \| good	29.233 \| good	0.133 \| good	3.655 \| good	0.131 \| good
2025-06-06T08:00:00.000Z	33 \| good	5.731 \| good	8.259 \| good	30.027 \| good	0.119 \| good	3.27 \| good	0.127 \| good
2025-06-06T09:00:00.000Z	30 \| good	4.708 \| good	6.175 \| good	32.258 \| good	0.104 \| good	2.502 \| good	0.125 \| good
2025-06-06T10:00:00.000Z	31 \| good	4.026 \| good	5.3 \| good	33.387 \| good	0.088 \| good	2.101 \| good	0.122 \| good
2025-06-06T11:00:00.000Z	32 \| good	4.205 \| good	5.021 \| good	35.041 \| good	0.1 \| good	1.943 \| good	0.123 \| good
2025-06-06T12:00:00.000Z	36 \| good	4.438 \| good	5.187 \| good	38.852 \| good	0.115 \| good	1.763 \| good	0.12 \| good
2025-06-06T13:00:00.000Z	38 \| good	4.905 \| good	6.057 \| good	41.468 \| good	0.128 \| good	1.523 \| good	0.118 \| good
2025-06-06T14:00:00.000Z	41 \| good	5.458 \| good	7.461 \| good	44.289 \| good	0.132 \| good	1.554 \| good	0.117 \| good
2025-06-06T15:00:00.000Z	42 \| good	5.27 \| good	7.74 \| good	44.974 \| good	0.122 \| good	1.822 \| good	0.111 \| good

Live air quality index in Caversham, Reading today

Major air pollutants in Caversham, Reading

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Caversham, Reading air quality forecast and history

Empower business decisions with accurate air quality data

Caversham, Reading air quality map: Real-time AQI near you

Air quality in nearby cities

Woodley, Wokingham

HenleyonThames, Oxfordshire

Marlow, Buckinghamshire

Crowthorne, Bracknell Forest

Maidenhead, Windsor and Maidenhead

Yateley, Hampshire

How accurate is Reading, UK air quality data?

Air quality levels in UK

Frequently asked questions

How frequently is the air quality data for Caversham, Reading updated?

When did Caversham, Reading experience the worst air quality in the last 24 hours?

When did Caversham, Reading have its best air quality in the last 24 hours?

What is the real-time air quality index for Caversham, Reading?

Which pollutant is found most often in Caversham, Reading?

What can I do if the air quality in Caversham, Reading is poor?

What are the current PM2.5 levels in Caversham, Reading?

What are the current PM10 levels at Caversham, Reading?

What are the current carbon monoxide (CO) levels at Caversham, Reading?

What are the current sulfur dioxide (SO2) levels at Caversham, Reading?

What are the current ozone (O3) levels at Caversham, Reading?

What are the current nitrogen dioxide (NO2) levels at Caversham, Reading?

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 Caversham, Reading?

What are the current PM₁₀ levels at Caversham, Reading?

What are the current sulfur dioxide (SO₂) levels at Caversham, Reading?

What are the current ozone (O₃) levels at Caversham, Reading?

What are the current nitrogen dioxide (NO₂) levels at Caversham, Reading?