What are the current PM10 levels at Henleyonthames, Oxfordshire?

The current PM10 levels in Henleyonthames, Oxfordshire are 12.007 μg/m3.

What are the current sulfur dioxide (SO2) levels at Henleyonthames, Oxfordshire?

The current sulfur dioxide (SO2) levels in Henleyonthames, Oxfordshire are 0.759 ppb.

What are the current ozone (O3) levels at Henleyonthames, Oxfordshire?

The current ozone (O3) levels at Henleyonthames, Oxfordshire is 34.205 ppm.

What are the current nitrogen dioxide (NO2) levels at Henleyonthames, Oxfordshire?

The current nitrogen dioxide (NO2) levels at Henleyonthames, Oxfordshire is 6.395 ppb.

Live air quality index in HenleyonThames, Oxfordshire today

Name: Live air pollution levels in Henleyonthames, Oxfordshire today
Creator: Ambee

Stay updated with real-time air quality in HenleyonThames, Oxfordshire 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

HenleyonThames, Oxfordshire

Last updated: ... (Local time)

Major air pollutants in HenleyonThames, Oxfordshire

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

3.67 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

12.01 μg/m³

155

255

425

605+

Ozone (O₃)

34.20 ppb

201

201+

Sulfur Dioxide (SO₂)

0.76 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

6.39 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.02 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

High

HenleyonThames, Oxfordshire

Get Live Pollen Counts

HenleyonThames, Oxfordshire

Scroll To Air Quality Map

Track live HenleyonThames, Oxfordshire air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-06-02T17:00:00.000Z	31 \| good	3.783 \| good	10.114 \| good	34.32 \| good	0.865 \| good	4.711 \| good	0.022 \| good
2025-06-02T18:00:00.000Z	32 \| good	3.783 \| good	10.114 \| good	35.093 \| good	0.594 \| good	4.503 \| good	0.022 \| good
2025-06-02T19:00:00.000Z	32 \| good	3.783 \| good	10.114 \| good	35.366 \| good	0.739 \| good	3.213 \| good	0.025 \| good
2025-06-02T20:00:00.000Z	33 \| good	3.852 \| good	10.459 \| good	35.616 \| good	0.657 \| good	2.489 \| good	0.028 \| good
2025-06-02T21:00:00.000Z	32 \| good	3.852 \| good	10.459 \| good	35.354 \| good	0.658 \| good	2.306 \| good	0.032 \| good
2025-06-02T22:00:00.000Z	32 \| good	3.852 \| good	10.459 \| good	35.081 \| good	0.756 \| good	2.682 \| good	0.032 \| good
2025-06-02T23:00:00.000Z	32 \| good	3.956 \| good	11.122 \| good	34.558 \| good	0.91 \| good	2.64 \| good	0.044 \| good
2025-06-03T00:00:00.000Z	34 \| good	4.123 \| good	11.944 \| good	36.694 \| good	0.736 \| good	3.835 \| good	0.34 \| good
2025-06-03T01:00:00.000Z	32 \| good	4.272 \| good	12.44 \| good	34.678 \| good	0.664 \| good	4.242 \| good	0.316 \| good
2025-06-03T02:00:00.000Z	30 \| good	4.272 \| good	12.44 \| good	32.201 \| good	0.667 \| good	4.961 \| good	0.295 \| good
2025-06-03T03:00:00.000Z	29 \| good	4.272 \| good	12.44 \| good	30.695 \| good	0.763 \| good	4.543 \| good	0.294 \| good
2025-06-03T04:00:00.000Z	28 \| good	4.272 \| good	12.473 \| good	30.184 \| good	0.669 \| good	2.182 \| good	0.332 \| good
2025-06-03T05:00:00.000Z	27 \| good	4.745 \| good	11.302 \| good	28.44 \| good	0.814 \| good	2.671 \| good	0.267 \| good
2025-06-03T06:00:00.000Z	27 \| good	4.814 \| good	11.648 \| good	28.44 \| good	0.809 \| good	2.876 \| good	0.341 \| good
2025-06-03T07:00:00.000Z	27 \| good	4.814 \| good	11.648 \| good	28.44 \| good	0.814 \| good	2.87 \| good	0.255 \| good
2025-06-03T08:00:00.000Z	27 \| good	4.837 \| good	11.648 \| good	28.69 \| good	0.817 \| good	3.421 \| good	0.198 \| good
2025-06-03T09:00:00.000Z	27 \| good	4.837 \| good	11.965 \| good	28.928 \| good	0.905 \| good	3.78 \| good	0.16 \| good
2025-06-03T10:00:00.000Z	27 \| good	4.837 \| good	11.965 \| good	29.166 \| good	0.905 \| good	3.415 \| good	0.156 \| good
2025-06-03T11:00:00.000Z	27 \| good	4.814 \| good	11.648 \| good	29.154 \| good	0.706 \| good	3.253 \| good	0.139 \| good
2025-06-03T12:00:00.000Z	27 \| good	4.814 \| good	11.648 \| good	28.881 \| good	0.79 \| good	3.247 \| good	0.153 \| good
2025-06-03T13:00:00.000Z	27 \| good	4.745 \| good	11.302 \| good	28.608 \| good	0.853 \| good	3.253 \| good	0.146 \| good
2025-06-03T14:00:00.000Z	27 \| good	4.745 \| good	11.302 \| good	28.346 \| good	0.788 \| good	3.942 \| good	0.151 \| good
2025-06-03T15:00:00.000Z	27 \| good	4.641 \| good	10.957 \| good	27.858 \| good	0.785 \| good	3.746 \| good	0.144 \| good
2025-06-03T16:00:00.000Z	27 \| good	4.641 \| good	10.957 \| good	27.644 \| good	0.785 \| good	3.945 \| good	0.155 \| good
2025-06-03T17:00:00.000Z	27 \| good	4.745 \| good	11.302 \| good	27.667 \| good	0.915 \| good	4.898 \| good	0.165 \| good
2025-06-03T18:00:00.000Z	27 \| good	4.745 \| good	11.302 \| good	28.19 \| good	0.854 \| good	9.118 \| good	0.17 \| good
2025-06-03T19:00:00.000Z	27 \| good	4.641 \| good	10.957 \| good	28.975 \| good	0.852 \| good	7.806 \| good	0.189 \| good
2025-06-03T20:00:00.000Z	27 \| good	4.641 \| good	10.957 \| good	29.236 \| good	0.853 \| good	8.339 \| good	0.198 \| good
2025-06-03T21:00:00.000Z	28 \| good	4.641 \| good	10.957 \| good	29.771 \| good	0.844 \| good	8.343 \| good	0.255 \| good
2025-06-03T22:00:00.000Z	28 \| good	4.641 \| good	10.934 \| good	30.021 \| good	0.974 \| good	5.986 \| good	0.29 \| good
2025-06-03T23:00:00.000Z	28 \| good	4.641 \| good	10.934 \| good	29.986 \| good	0.99 \| good	4.724 \| good	0.336 \| good
2025-06-04T00:00:00.000Z	30 \| good	4.138 \| good	11.64 \| good	32.079 \| good	0.731 \| good	4.927 \| good	0.29 \| good
2025-06-04T01:00:00.000Z	29 \| good	4.039 \| good	11.143 \| good	30.547 \| good	0.737 \| good	5.643 \| good	0.34 \| good
2025-06-04T02:00:00.000Z	27 \| good	3.583 \| good	11.143 \| good	28.529 \| good	0.734 \| good	3.769 \| good	0.347 \| good
2025-06-04T03:00:00.000Z	25 \| good	3.583 \| good	11.143 \| good	26.53 \| good	0.803 \| good	3.531 \| good	0.299 \| good
2025-06-04T04:00:00.000Z	23 \| good	3.583 \| good	11.143 \| good	24.546 \| good	0.737 \| good	2.688 \| good	0.276 \| good
2025-06-04T05:00:00.000Z	21 \| good	3.401 \| good	10.647 \| good	22.553 \| good	0.669 \| good	2.199 \| good	0.045 \| good
2025-06-04T06:00:00.000Z	19 \| good	3.401 \| good	10.647 \| good	20.561 \| good	0.666 \| good	3.145 \| good	0.03 \| good
2025-06-04T07:00:00.000Z	18 \| good	3.302 \| good	10.12 \| good	19.081 \| good	0.655 \| good	3.947 \| good	0.026 \| good
2025-06-04T08:00:00.000Z	18 \| good	3.287 \| good	10.074 \| good	19.098 \| good	0.661 \| good	5.149 \| good	0.022 \| good
2025-06-04T09:00:00.000Z	19 \| good	3.287 \| good	9.604 \| good	20.111 \| good	0.711 \| good	6.472 \| good	0.022 \| good
2025-06-04T10:00:00.000Z	20 \| good	3.386 \| good	10.556 \| good	22.11 \| good	0.712 \| good	4.883 \| good	0.019 \| good
2025-06-04T11:00:00.000Z	22 \| good	3.419 \| good	10.556 \| good	24.11 \| good	0.806 \| good	4.919 \| good	0.021 \| good
2025-06-04T12:00:00.000Z	24 \| good	3.568 \| good	11.086 \| good	26.109 \| good	0.711 \| good	7.844 \| good	0.022 \| good
2025-06-04T13:00:00.000Z	27 \| good	3.568 \| good	11.07 \| good	28.628 \| good	0.714 \| good	5.118 \| good	0.022 \| good
2025-06-04T14:00:00.000Z	29 \| good	3.668 \| good	12.022 \| good	31.17 \| good	0.761 \| good	5.635 \| good	0.022 \| good
2025-06-04T15:00:00.000Z	31 \| good	3.668 \| good	12.007 \| good	34.205 \| good	0.759 \| good	6.395 \| good	0.021 \| good
2025-06-04T16:00:00.000Z	33 \| good	3.816 \| good	12.504 \| good	35.719 \| good	1.322 \| good	3.88 \| good	0.021 \| good
2025-06-04T16:00:00.000Z	31 \| good	3.668 \| good	12.007 \| good	34.205 \| good	0.759 \| good	6.395 \| good	0.021 \| good
2025-06-04T17:00:00.000Z	32 \| good	3.27 \| good	5.815 \| good	35.421 \| good	0.092 \| good	4.254 \| good	0.116 \| good
2025-06-04T18:00:00.000Z	33 \| good	3.195 \| good	5.067 \| good	35.872 \| good	0.1 \| good	3.983 \| good	0.117 \| good
2025-06-04T19:00:00.000Z	32 \| good	3.537 \| good	5.131 \| good	34.619 \| good	0.113 \| good	4.148 \| good	0.119 \| good
2025-06-04T20:00:00.000Z	30 \| good	4.063 \| good	5.672 \| good	32.182 \| good	0.149 \| good	4.255 \| good	0.122 \| good
2025-06-04T21:00:00.000Z	29 \| good	4.544 \| good	6.42 \| good	30.648 \| good	0.175 \| good	4.435 \| good	0.123 \| good
2025-06-04T22:00:00.000Z	27 \| good	5.005 \| good	6.889 \| good	28.24 \| good	0.177 \| good	4.617 \| good	0.123 \| good
2025-06-04T23:00:00.000Z	27 \| good	5.252 \| good	7.558 \| good	26.895 \| good	0.158 \| good	4.451 \| good	0.123 \| good
2025-06-05T00:00:00.000Z	33 \| good	5.87 \| good	8.53 \| good	25.39 \| good	0.141 \| good	3.884 \| good	0.121 \| good
2025-06-05T01:00:00.000Z	38 \| good	6.757 \| good	9.061 \| good	24.6 \| good	0.134 \| good	3.123 \| good	0.121 \| good
2025-06-05T02:00:00.000Z	38 \| good	7.219 \| good	9.494 \| good	24.885 \| good	0.135 \| good	2.625 \| good	0.122 \| good
2025-06-05T03:00:00.000Z	38 \| good	7.397 \| good	9.912 \| good	24.887 \| good	0.122 \| good	2.342 \| good	0.122 \| good
2025-06-05T04:00:00.000Z	44 \| good	7.646 \| good	10.573 \| good	25.462 \| good	0.114 \| good	2.098 \| good	0.122 \| good
2025-06-05T05:00:00.000Z	44 \| good	7.516 \| good	10.637 \| good	26.634 \| good	0.106 \| good	2.035 \| good	0.122 \| good
2025-06-05T06:00:00.000Z	33 \| good	6.11 \| good	8.926 \| good	28.249 \| good	0.116 \| good	3.281 \| good	0.118 \| good
2025-06-05T07:00:00.000Z	26 \| good	4.392 \| good	6.303 \| good	28.397 \| good	0.127 \| good	4.802 \| good	0.116 \| good
2025-06-05T08:00:00.000Z	27 \| good	4.776 \| good	6.265 \| good	28.027 \| good	0.101 \| good	5.453 \| good	0.115 \| good
2025-06-05T09:00:00.000Z	33 \| good	6.149 \| good	7.401 \| good	30.321 \| good	0.111 \| good	5.628 \| good	0.119 \| good
2025-06-05T10:00:00.000Z	44 \| good	8.086 \| good	9.206 \| good	35.25 \| good	0.099 \| good	3.157 \| good	0.12 \| good
2025-06-05T11:00:00.000Z	44 \| good	7.864 \| good	10.806 \| good	36.231 \| good	0.08 \| good	2.643 \| good	0.12 \| good
2025-06-05T12:00:00.000Z	38 \| good	6.837 \| good	9.939 \| good	39.01 \| good	0.08 \| good	2.643 \| good	0.121 \| good
2025-06-05T13:00:00.000Z	37 \| good	6.061 \| good	8.249 \| good	39.764 \| good	0.077 \| good	2.623 \| good	0.121 \| good
2025-06-05T14:00:00.000Z	38 \| good	7.037 \| good	9.378 \| good	38.556 \| good	0.081 \| good	2.782 \| good	0.12 \| good
2025-06-05T15:00:00.000Z	38 \| good	7.492 \| good	10.173 \| good	36.769 \| good	0.08 \| good	3.259 \| good	0.121 \| good
2025-06-05T16:00:00.000Z	44 \| good	7.763 \| good	10.474 \| good	34.55 \| good	0.083 \| good	4.099 \| good	0.124 \| good
2025-06-05T17:00:00.000Z	44 \| good	7.678 \| good	10.133 \| good	33.244 \| good	0.09 \| good	5.029 \| good	0.127 \| good
2025-06-05T18:00:00.000Z	44 \| good	7.546 \| good	9.813 \| good	31.966 \| good	0.102 \| good	5.113 \| good	0.127 \| good
2025-06-05T19:00:00.000Z	38 \| good	7.355 \| good	9.658 \| good	30.709 \| good	0.121 \| good	5.245 \| good	0.128 \| good
2025-06-05T20:00:00.000Z	38 \| good	7.327 \| good	9.695 \| good	27.942 \| good	0.149 \| good	5.479 \| good	0.128 \| good
2025-06-05T21:00:00.000Z	38 \| good	7.147 \| good	8.951 \| good	26.815 \| good	0.181 \| good	5.778 \| good	0.128 \| good
2025-06-05T22:00:00.000Z	33 \| good	6.09 \| good	8.938 \| good	26.429 \| good	0.183 \| good	5.825 \| good	0.129 \| good
2025-06-05T23:00:00.000Z	27 \| good	5.451 \| good	8.83 \| good	26.088 \| good	0.154 \| good	5.028 \| good	0.128 \| good
2025-06-06T00:00:00.000Z	33 \| good	5.643 \| good	8.967 \| good	26.12 \| good	0.138 \| good	3.708 \| good	0.126 \| good
2025-06-06T01:00:00.000Z	33 \| good	5.656 \| good	9.271 \| good	26.382 \| good	0.13 \| good	2.83 \| good	0.125 \| good
2025-06-06T02:00:00.000Z	33 \| good	5.637 \| good	9.243 \| good	26.447 \| good	0.124 \| good	2.274 \| good	0.124 \| good
2025-06-06T03:00:00.000Z	33 \| good	5.593 \| good	8.662 \| good	25.906 \| good	0.114 \| good	2.017 \| good	0.124 \| good
2025-06-06T04:00:00.000Z	33 \| good	5.711 \| good	8.339 \| good	25.082 \| good	0.104 \| good	1.989 \| good	0.124 \| good
2025-06-06T05:00:00.000Z	33 \| good	5.864 \| good	8.608 \| good	25.246 \| good	0.098 \| good	2.281 \| good	0.124 \| good
2025-06-06T06:00:00.000Z	33 \| good	6.364 \| good	9.529 \| good	27.807 \| good	0.102 \| good	2.991 \| good	0.126 \| good
2025-06-06T07:00:00.000Z	38 \| good	6.681 \| good	9.518 \| good	28.145 \| good	0.125 \| good	4.576 \| good	0.129 \| good
2025-06-06T08:00:00.000Z	33 \| good	6.019 \| good	8.379 \| good	29.477 \| good	0.113 \| good	4.358 \| good	0.128 \| good
2025-06-06T09:00:00.000Z	29 \| good	4.621 \| good	6.226 \| good	30.777 \| good	0.094 \| good	3.347 \| good	0.125 \| good
2025-06-06T10:00:00.000Z	30 \| good	4.053 \| good	5.224 \| good	32.143 \| good	0.078 \| good	2.67 \| good	0.122 \| good
2025-06-06T11:00:00.000Z	31 \| good	4.006 \| good	4.816 \| good	33.947 \| good	0.095 \| good	2.327 \| good	0.122 \| good
2025-06-06T12:00:00.000Z	35 \| good	4.299 \| good	5.351 \| good	37.923 \| good	0.101 \| good	2.139 \| good	0.119 \| good
2025-06-06T13:00:00.000Z	37 \| good	4.856 \| good	6.087 \| good	40.424 \| good	0.105 \| good	1.818 \| good	0.115 \| good
2025-06-06T14:00:00.000Z	41 \| good	5.479 \| good	7.262 \| good	43.725 \| good	0.116 \| good	1.986 \| good	0.116 \| good
2025-06-06T15:00:00.000Z	42 \| good	5.15 \| good	7.442 \| good	45.262 \| good	0.13 \| good	2.39 \| good	0.113 \| good
2025-06-06T16:00:00.000Z	41 \| good	5.084 \| good	7.557 \| good	44.489 \| good	0.099 \| good	3.046 \| good	0.106 \| good

HenleyonThames

Empower business decisions with accurate air quality data

HenleyonThames, Oxfordshire air quality map: Real-time AQI near you

0.02ppm

How accurate is Oxfordshire, UK air quality data?

Air quality measurements for Oxfordshire, 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 Henleyonthames, Oxfordshire updated?

Air quality data for Henleyonthames, Oxfordshire is updated on an hourly basis.

When did Henleyonthames, Oxfordshire experience the worst air quality in the last 24 hours?

The worst air quality in Henleyonthames, Oxfordshire was recorded at 03:00:00 on 2025-06-04.

When did Henleyonthames, Oxfordshire have its best air quality in the last 24 hours?

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

What is the real-time air quality index for Henleyonthames, Oxfordshire?

The real-time air quality index in Henleyonthames, Oxfordshire is 31, currently categorized as Good.

Which pollutant is found most often in Henleyonthames, Oxfordshire?

The most common pollutant in Henleyonthames, Oxfordshire is O3.

What can I do if the air quality in Henleyonthames, Oxfordshire is poor?

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

What are the current PM_2.5 levels in Henleyonthames, Oxfordshire?

The measured PM_2.5 levels in Henleyonthames, Oxfordshire at present are 3.668 μg/m³.

What are the current PM₁₀ levels at Henleyonthames, Oxfordshire?

The current PM₁₀ levels in Henleyonthames, Oxfordshire are 12.007 μg/m³.

What are the current carbon monoxide (CO) levels at Henleyonthames, Oxfordshire?

The current carbon monoxide (CO) level in Henleyonthames, Oxfordshire is 0.021 ppm.

What are the current sulfur dioxide (SO₂) levels at Henleyonthames, Oxfordshire?

The current sulfur dioxide (SO₂) levels in Henleyonthames, Oxfordshire are 0.759 ppb.

What are the current ozone (O₃) levels at Henleyonthames, Oxfordshire?

The current ozone (O₃) levels at Henleyonthames, Oxfordshire is 34.205 ppm.

What are the current nitrogen dioxide (NO₂) levels at Henleyonthames, Oxfordshire?

The current nitrogen dioxide (NO₂) levels at Henleyonthames, Oxfordshire is 6.395 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-06-02T17:00:00.000Z	31 \| good	3.783 \| good	10.114 \| good	34.32 \| good	0.865 \| good	4.711 \| good	0.022 \| good
2025-06-02T18:00:00.000Z	32 \| good	3.783 \| good	10.114 \| good	35.093 \| good	0.594 \| good	4.503 \| good	0.022 \| good
2025-06-02T19:00:00.000Z	32 \| good	3.783 \| good	10.114 \| good	35.366 \| good	0.739 \| good	3.213 \| good	0.025 \| good
2025-06-02T20:00:00.000Z	33 \| good	3.852 \| good	10.459 \| good	35.616 \| good	0.657 \| good	2.489 \| good	0.028 \| good
2025-06-02T21:00:00.000Z	32 \| good	3.852 \| good	10.459 \| good	35.354 \| good	0.658 \| good	2.306 \| good	0.032 \| good
2025-06-02T22:00:00.000Z	32 \| good	3.852 \| good	10.459 \| good	35.081 \| good	0.756 \| good	2.682 \| good	0.032 \| good
2025-06-02T23:00:00.000Z	32 \| good	3.956 \| good	11.122 \| good	34.558 \| good	0.91 \| good	2.64 \| good	0.044 \| good
2025-06-03T00:00:00.000Z	34 \| good	4.123 \| good	11.944 \| good	36.694 \| good	0.736 \| good	3.835 \| good	0.34 \| good
2025-06-03T01:00:00.000Z	32 \| good	4.272 \| good	12.44 \| good	34.678 \| good	0.664 \| good	4.242 \| good	0.316 \| good
2025-06-03T02:00:00.000Z	30 \| good	4.272 \| good	12.44 \| good	32.201 \| good	0.667 \| good	4.961 \| good	0.295 \| good
2025-06-03T03:00:00.000Z	29 \| good	4.272 \| good	12.44 \| good	30.695 \| good	0.763 \| good	4.543 \| good	0.294 \| good
2025-06-03T04:00:00.000Z	28 \| good	4.272 \| good	12.473 \| good	30.184 \| good	0.669 \| good	2.182 \| good	0.332 \| good
2025-06-03T05:00:00.000Z	27 \| good	4.745 \| good	11.302 \| good	28.44 \| good	0.814 \| good	2.671 \| good	0.267 \| good
2025-06-03T06:00:00.000Z	27 \| good	4.814 \| good	11.648 \| good	28.44 \| good	0.809 \| good	2.876 \| good	0.341 \| good
2025-06-03T07:00:00.000Z	27 \| good	4.814 \| good	11.648 \| good	28.44 \| good	0.814 \| good	2.87 \| good	0.255 \| good
2025-06-03T08:00:00.000Z	27 \| good	4.837 \| good	11.648 \| good	28.69 \| good	0.817 \| good	3.421 \| good	0.198 \| good
2025-06-03T09:00:00.000Z	27 \| good	4.837 \| good	11.965 \| good	28.928 \| good	0.905 \| good	3.78 \| good	0.16 \| good
2025-06-03T10:00:00.000Z	27 \| good	4.837 \| good	11.965 \| good	29.166 \| good	0.905 \| good	3.415 \| good	0.156 \| good
2025-06-03T11:00:00.000Z	27 \| good	4.814 \| good	11.648 \| good	29.154 \| good	0.706 \| good	3.253 \| good	0.139 \| good
2025-06-03T12:00:00.000Z	27 \| good	4.814 \| good	11.648 \| good	28.881 \| good	0.79 \| good	3.247 \| good	0.153 \| good
2025-06-03T13:00:00.000Z	27 \| good	4.745 \| good	11.302 \| good	28.608 \| good	0.853 \| good	3.253 \| good	0.146 \| good
2025-06-03T14:00:00.000Z	27 \| good	4.745 \| good	11.302 \| good	28.346 \| good	0.788 \| good	3.942 \| good	0.151 \| good
2025-06-03T15:00:00.000Z	27 \| good	4.641 \| good	10.957 \| good	27.858 \| good	0.785 \| good	3.746 \| good	0.144 \| good
2025-06-03T16:00:00.000Z	27 \| good	4.641 \| good	10.957 \| good	27.644 \| good	0.785 \| good	3.945 \| good	0.155 \| good
2025-06-03T17:00:00.000Z	27 \| good	4.745 \| good	11.302 \| good	27.667 \| good	0.915 \| good	4.898 \| good	0.165 \| good
2025-06-03T18:00:00.000Z	27 \| good	4.745 \| good	11.302 \| good	28.19 \| good	0.854 \| good	9.118 \| good	0.17 \| good
2025-06-03T19:00:00.000Z	27 \| good	4.641 \| good	10.957 \| good	28.975 \| good	0.852 \| good	7.806 \| good	0.189 \| good
2025-06-03T20:00:00.000Z	27 \| good	4.641 \| good	10.957 \| good	29.236 \| good	0.853 \| good	8.339 \| good	0.198 \| good
2025-06-03T21:00:00.000Z	28 \| good	4.641 \| good	10.957 \| good	29.771 \| good	0.844 \| good	8.343 \| good	0.255 \| good
2025-06-03T22:00:00.000Z	28 \| good	4.641 \| good	10.934 \| good	30.021 \| good	0.974 \| good	5.986 \| good	0.29 \| good
2025-06-03T23:00:00.000Z	28 \| good	4.641 \| good	10.934 \| good	29.986 \| good	0.99 \| good	4.724 \| good	0.336 \| good
2025-06-04T00:00:00.000Z	30 \| good	4.138 \| good	11.64 \| good	32.079 \| good	0.731 \| good	4.927 \| good	0.29 \| good
2025-06-04T01:00:00.000Z	29 \| good	4.039 \| good	11.143 \| good	30.547 \| good	0.737 \| good	5.643 \| good	0.34 \| good
2025-06-04T02:00:00.000Z	27 \| good	3.583 \| good	11.143 \| good	28.529 \| good	0.734 \| good	3.769 \| good	0.347 \| good
2025-06-04T03:00:00.000Z	25 \| good	3.583 \| good	11.143 \| good	26.53 \| good	0.803 \| good	3.531 \| good	0.299 \| good
2025-06-04T04:00:00.000Z	23 \| good	3.583 \| good	11.143 \| good	24.546 \| good	0.737 \| good	2.688 \| good	0.276 \| good
2025-06-04T05:00:00.000Z	21 \| good	3.401 \| good	10.647 \| good	22.553 \| good	0.669 \| good	2.199 \| good	0.045 \| good
2025-06-04T06:00:00.000Z	19 \| good	3.401 \| good	10.647 \| good	20.561 \| good	0.666 \| good	3.145 \| good	0.03 \| good
2025-06-04T07:00:00.000Z	18 \| good	3.302 \| good	10.12 \| good	19.081 \| good	0.655 \| good	3.947 \| good	0.026 \| good
2025-06-04T08:00:00.000Z	18 \| good	3.287 \| good	10.074 \| good	19.098 \| good	0.661 \| good	5.149 \| good	0.022 \| good
2025-06-04T09:00:00.000Z	19 \| good	3.287 \| good	9.604 \| good	20.111 \| good	0.711 \| good	6.472 \| good	0.022 \| good
2025-06-04T10:00:00.000Z	20 \| good	3.386 \| good	10.556 \| good	22.11 \| good	0.712 \| good	4.883 \| good	0.019 \| good
2025-06-04T11:00:00.000Z	22 \| good	3.419 \| good	10.556 \| good	24.11 \| good	0.806 \| good	4.919 \| good	0.021 \| good
2025-06-04T12:00:00.000Z	24 \| good	3.568 \| good	11.086 \| good	26.109 \| good	0.711 \| good	7.844 \| good	0.022 \| good
2025-06-04T13:00:00.000Z	27 \| good	3.568 \| good	11.07 \| good	28.628 \| good	0.714 \| good	5.118 \| good	0.022 \| good
2025-06-04T14:00:00.000Z	29 \| good	3.668 \| good	12.022 \| good	31.17 \| good	0.761 \| good	5.635 \| good	0.022 \| good
2025-06-04T15:00:00.000Z	31 \| good	3.668 \| good	12.007 \| good	34.205 \| good	0.759 \| good	6.395 \| good	0.021 \| good
2025-06-04T16:00:00.000Z	33 \| good	3.816 \| good	12.504 \| good	35.719 \| good	1.322 \| good	3.88 \| good	0.021 \| good
2025-06-04T16:00:00.000Z	31 \| good	3.668 \| good	12.007 \| good	34.205 \| good	0.759 \| good	6.395 \| good	0.021 \| good
2025-06-04T17:00:00.000Z	32 \| good	3.27 \| good	5.815 \| good	35.421 \| good	0.092 \| good	4.254 \| good	0.116 \| good
2025-06-04T18:00:00.000Z	33 \| good	3.195 \| good	5.067 \| good	35.872 \| good	0.1 \| good	3.983 \| good	0.117 \| good
2025-06-04T19:00:00.000Z	32 \| good	3.537 \| good	5.131 \| good	34.619 \| good	0.113 \| good	4.148 \| good	0.119 \| good
2025-06-04T20:00:00.000Z	30 \| good	4.063 \| good	5.672 \| good	32.182 \| good	0.149 \| good	4.255 \| good	0.122 \| good
2025-06-04T21:00:00.000Z	29 \| good	4.544 \| good	6.42 \| good	30.648 \| good	0.175 \| good	4.435 \| good	0.123 \| good
2025-06-04T22:00:00.000Z	27 \| good	5.005 \| good	6.889 \| good	28.24 \| good	0.177 \| good	4.617 \| good	0.123 \| good
2025-06-04T23:00:00.000Z	27 \| good	5.252 \| good	7.558 \| good	26.895 \| good	0.158 \| good	4.451 \| good	0.123 \| good
2025-06-05T00:00:00.000Z	33 \| good	5.87 \| good	8.53 \| good	25.39 \| good	0.141 \| good	3.884 \| good	0.121 \| good
2025-06-05T01:00:00.000Z	38 \| good	6.757 \| good	9.061 \| good	24.6 \| good	0.134 \| good	3.123 \| good	0.121 \| good
2025-06-05T02:00:00.000Z	38 \| good	7.219 \| good	9.494 \| good	24.885 \| good	0.135 \| good	2.625 \| good	0.122 \| good
2025-06-05T03:00:00.000Z	38 \| good	7.397 \| good	9.912 \| good	24.887 \| good	0.122 \| good	2.342 \| good	0.122 \| good
2025-06-05T04:00:00.000Z	44 \| good	7.646 \| good	10.573 \| good	25.462 \| good	0.114 \| good	2.098 \| good	0.122 \| good
2025-06-05T05:00:00.000Z	44 \| good	7.516 \| good	10.637 \| good	26.634 \| good	0.106 \| good	2.035 \| good	0.122 \| good
2025-06-05T06:00:00.000Z	33 \| good	6.11 \| good	8.926 \| good	28.249 \| good	0.116 \| good	3.281 \| good	0.118 \| good
2025-06-05T07:00:00.000Z	26 \| good	4.392 \| good	6.303 \| good	28.397 \| good	0.127 \| good	4.802 \| good	0.116 \| good
2025-06-05T08:00:00.000Z	27 \| good	4.776 \| good	6.265 \| good	28.027 \| good	0.101 \| good	5.453 \| good	0.115 \| good
2025-06-05T09:00:00.000Z	33 \| good	6.149 \| good	7.401 \| good	30.321 \| good	0.111 \| good	5.628 \| good	0.119 \| good
2025-06-05T10:00:00.000Z	44 \| good	8.086 \| good	9.206 \| good	35.25 \| good	0.099 \| good	3.157 \| good	0.12 \| good
2025-06-05T11:00:00.000Z	44 \| good	7.864 \| good	10.806 \| good	36.231 \| good	0.08 \| good	2.643 \| good	0.12 \| good
2025-06-05T12:00:00.000Z	38 \| good	6.837 \| good	9.939 \| good	39.01 \| good	0.08 \| good	2.643 \| good	0.121 \| good
2025-06-05T13:00:00.000Z	37 \| good	6.061 \| good	8.249 \| good	39.764 \| good	0.077 \| good	2.623 \| good	0.121 \| good
2025-06-05T14:00:00.000Z	38 \| good	7.037 \| good	9.378 \| good	38.556 \| good	0.081 \| good	2.782 \| good	0.12 \| good
2025-06-05T15:00:00.000Z	38 \| good	7.492 \| good	10.173 \| good	36.769 \| good	0.08 \| good	3.259 \| good	0.121 \| good
2025-06-05T16:00:00.000Z	44 \| good	7.763 \| good	10.474 \| good	34.55 \| good	0.083 \| good	4.099 \| good	0.124 \| good
2025-06-05T17:00:00.000Z	44 \| good	7.678 \| good	10.133 \| good	33.244 \| good	0.09 \| good	5.029 \| good	0.127 \| good
2025-06-05T18:00:00.000Z	44 \| good	7.546 \| good	9.813 \| good	31.966 \| good	0.102 \| good	5.113 \| good	0.127 \| good
2025-06-05T19:00:00.000Z	38 \| good	7.355 \| good	9.658 \| good	30.709 \| good	0.121 \| good	5.245 \| good	0.128 \| good
2025-06-05T20:00:00.000Z	38 \| good	7.327 \| good	9.695 \| good	27.942 \| good	0.149 \| good	5.479 \| good	0.128 \| good
2025-06-05T21:00:00.000Z	38 \| good	7.147 \| good	8.951 \| good	26.815 \| good	0.181 \| good	5.778 \| good	0.128 \| good
2025-06-05T22:00:00.000Z	33 \| good	6.09 \| good	8.938 \| good	26.429 \| good	0.183 \| good	5.825 \| good	0.129 \| good
2025-06-05T23:00:00.000Z	27 \| good	5.451 \| good	8.83 \| good	26.088 \| good	0.154 \| good	5.028 \| good	0.128 \| good
2025-06-06T00:00:00.000Z	33 \| good	5.643 \| good	8.967 \| good	26.12 \| good	0.138 \| good	3.708 \| good	0.126 \| good
2025-06-06T01:00:00.000Z	33 \| good	5.656 \| good	9.271 \| good	26.382 \| good	0.13 \| good	2.83 \| good	0.125 \| good
2025-06-06T02:00:00.000Z	33 \| good	5.637 \| good	9.243 \| good	26.447 \| good	0.124 \| good	2.274 \| good	0.124 \| good
2025-06-06T03:00:00.000Z	33 \| good	5.593 \| good	8.662 \| good	25.906 \| good	0.114 \| good	2.017 \| good	0.124 \| good
2025-06-06T04:00:00.000Z	33 \| good	5.711 \| good	8.339 \| good	25.082 \| good	0.104 \| good	1.989 \| good	0.124 \| good
2025-06-06T05:00:00.000Z	33 \| good	5.864 \| good	8.608 \| good	25.246 \| good	0.098 \| good	2.281 \| good	0.124 \| good
2025-06-06T06:00:00.000Z	33 \| good	6.364 \| good	9.529 \| good	27.807 \| good	0.102 \| good	2.991 \| good	0.126 \| good
2025-06-06T07:00:00.000Z	38 \| good	6.681 \| good	9.518 \| good	28.145 \| good	0.125 \| good	4.576 \| good	0.129 \| good
2025-06-06T08:00:00.000Z	33 \| good	6.019 \| good	8.379 \| good	29.477 \| good	0.113 \| good	4.358 \| good	0.128 \| good
2025-06-06T09:00:00.000Z	29 \| good	4.621 \| good	6.226 \| good	30.777 \| good	0.094 \| good	3.347 \| good	0.125 \| good
2025-06-06T10:00:00.000Z	30 \| good	4.053 \| good	5.224 \| good	32.143 \| good	0.078 \| good	2.67 \| good	0.122 \| good
2025-06-06T11:00:00.000Z	31 \| good	4.006 \| good	4.816 \| good	33.947 \| good	0.095 \| good	2.327 \| good	0.122 \| good
2025-06-06T12:00:00.000Z	35 \| good	4.299 \| good	5.351 \| good	37.923 \| good	0.101 \| good	2.139 \| good	0.119 \| good
2025-06-06T13:00:00.000Z	37 \| good	4.856 \| good	6.087 \| good	40.424 \| good	0.105 \| good	1.818 \| good	0.115 \| good
2025-06-06T14:00:00.000Z	41 \| good	5.479 \| good	7.262 \| good	43.725 \| good	0.116 \| good	1.986 \| good	0.116 \| good
2025-06-06T15:00:00.000Z	42 \| good	5.15 \| good	7.442 \| good	45.262 \| good	0.13 \| good	2.39 \| good	0.113 \| good
2025-06-06T16:00:00.000Z	41 \| good	5.084 \| good	7.557 \| good	44.489 \| good	0.099 \| good	3.046 \| good	0.106 \| good

Live air quality index in HenleyonThames, Oxfordshire today

Major air pollutants in HenleyonThames, Oxfordshire

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live HenleyonThames, Oxfordshire air quality forecast and history

Empower business decisions with accurate air quality data

HenleyonThames, Oxfordshire air quality map: Real-time AQI near you

Air quality in nearby cities

HenleyonThames, Oxfordshire

Caversham, Reading

Woodley, Wokingham

Marlow, Buckinghamshire

Maidenhead, Windsor and Maidenhead

High Wycombe, Buckinghamshire

How accurate is Oxfordshire, UK air quality data?

Air quality levels in UK

Frequently asked questions

How frequently is the air quality data for Henleyonthames, Oxfordshire updated?

When did Henleyonthames, Oxfordshire experience the worst air quality in the last 24 hours?

When did Henleyonthames, Oxfordshire have its best air quality in the last 24 hours?

What is the real-time air quality index for Henleyonthames, Oxfordshire?

Which pollutant is found most often in Henleyonthames, Oxfordshire?

What can I do if the air quality in Henleyonthames, Oxfordshire is poor?

What are the current PM2.5 levels in Henleyonthames, Oxfordshire?

What are the current PM10 levels at Henleyonthames, Oxfordshire?

What are the current carbon monoxide (CO) levels at Henleyonthames, Oxfordshire?

What are the current sulfur dioxide (SO2) levels at Henleyonthames, Oxfordshire?

What are the current ozone (O3) levels at Henleyonthames, Oxfordshire?

What are the current nitrogen dioxide (NO2) levels at Henleyonthames, Oxfordshire?

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 Henleyonthames, Oxfordshire?

What are the current PM₁₀ levels at Henleyonthames, Oxfordshire?

What are the current sulfur dioxide (SO₂) levels at Henleyonthames, Oxfordshire?

What are the current ozone (O₃) levels at Henleyonthames, Oxfordshire?

What are the current nitrogen dioxide (NO₂) levels at Henleyonthames, Oxfordshire?