What is the current concentration of PM10 in Abingdononthames, Oxfordshire?

The current PM10 concentration at Abingdononthames, Oxfordshire is 8.31 μg/m3.

What is the current concentration of sulfur dioxide (SO2) in Abingdononthames, Oxfordshire?

The current sulfur dioxide (SO2) concentration at Abingdononthames, Oxfordshire is 0.446 ppb.

What is the current concentration of ozone (O3) in Abingdononthames, Oxfordshire?

The current ozone (O3) concentration at Abingdononthames, Oxfordshire is 21.024 ppm.

What is the current concentration of nitrogen dioxide (NO2) in Abingdononthames, Oxfordshire?

The current nitrogen dioxide (NO2) concentration at Abingdononthames, Oxfordshire is 2.652 ppb.

AbingdononThames, Oxfordshire live air quality index now

Q: What is the current concentration of PM2.5 in Abingdononthames, Oxfordshire?

The current PM2.5 concentration at Abingdononthames, Oxfordshire is 5.957 μg/m3.

Stay updated with real-time air quality in AbingdononThames, 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

AbingdononThames, Oxfordshire

Last updated: ... (Local time)

Major air pollutants in AbingdononThames, Oxfordshire

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

5.04 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

8.31 μg/m³

155

255

425

605+

Ozone (O₃)

21.46 ppb

201

201+

Sulfur Dioxide (SO₂)

0.51 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

2.17 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.28 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

AbingdononThames, Oxfordshire

Get Live Pollen Counts

AbingdononThames, Oxfordshire

Scroll To Air Quality Map

Track live AbingdononThames, Oxfordshire air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-11-06T07:00:00.000Z	33 \| good	6.024 \| good	11.349 \| good	17.983 \| good	0.618 \| good	5.686 \| good	0.603 \| good
2025-11-06T08:00:00.000Z	33 \| good	6.125 \| good	11.456 \| good	17.964 \| good	0.438 \| good	6.685 \| good	0.032 \| good
2025-11-06T09:00:00.000Z	33 \| good	6.047 \| good	11.372 \| good	17.861 \| good	0.645 \| good	8.856 \| good	0.514 \| good
2025-11-06T10:00:00.000Z	33 \| good	6.125 \| good	11.456 \| good	17.453 \| good	0.551 \| good	7.266 \| good	0.024 \| good
2025-11-06T11:00:00.000Z	33 \| good	6.125 \| good	11.456 \| good	17.43 \| good	0.611 \| good	6.35 \| good	0.027 \| good
2025-11-06T12:00:00.000Z	33 \| good	6.125 \| good	11.456 \| good	16.943 \| good	0.628 \| good	7.249 \| good	0.016 \| good
2025-11-06T13:00:00.000Z	33 \| good	6.125 \| good	11.456 \| good	16.943 \| good	0.559 \| good	7.601 \| good	0.014 \| good
2025-11-06T14:00:00.000Z	33 \| good	6.125 \| good	11.456 \| good	16.504 \| good	0.85 \| good	7.552 \| good	0.014 \| good
2025-11-06T15:00:00.000Z	33 \| good	6.125 \| good	11.456 \| good	17.014 \| good	0.763 \| good	6.57 \| good	0.016 \| good
2025-11-06T16:00:00.000Z	33 \| good	6.125 \| good	11.456 \| good	17.524 \| good	0.897 \| good	4.623 \| good	0.023 \| good
2025-11-06T17:00:00.000Z	33 \| good	6.094 \| good	11.425 \| good	18.497 \| good	0.894 \| good	6.153 \| good	0.042 \| good
2025-11-06T18:00:00.000Z	33 \| good	6.088 \| good	11.394 \| good	19.008 \| good	0.848 \| good	10.162 \| good	0.061 \| good
2025-11-06T19:00:00.000Z	33 \| good	6.088 \| good	11.394 \| good	18.592 \| good	0.896 \| good	14.472 \| good	0.048 \| good
2025-11-06T20:00:00.000Z	33 \| good	6.047 \| good	11.332 \| good	18.568 \| good	0.845 \| good	13.156 \| good	0.056 \| good
2025-11-06T21:00:00.000Z	33 \| good	6.047 \| good	11.332 \| good	17.619 \| good	0.85 \| good	13.638 \| good	0.044 \| good
2025-11-06T22:00:00.000Z	33 \| good	6.047 \| good	11.332 \| good	17.109 \| good	0.981 \| good	12.19 \| good	0.053 \| good
2025-11-06T23:00:00.000Z	33 \| good	6.047 \| good	11.332 \| good	15.163 \| good	0.779 \| good	13.172 \| good	0.058 \| good
2025-11-07T00:00:00.000Z	33 \| good	5.992 \| good	11.293 \| good	13.195 \| good	1.119 \| good	12.727 \| good	0.553 \| good
2025-11-07T01:00:00.000Z	33 \| good	6.002 \| good	11.324 \| good	12.21 \| good	1.163 \| good	8.268 \| good	0.485 \| good
2025-11-07T02:00:00.000Z	38 \| good	6.917 \| good	11.324 \| good	11.659 \| good	0.675 \| good	10.622 \| good	0.441 \| good
2025-11-07T03:00:00.000Z	38 \| good	6.907 \| good	11.293 \| good	12.074 \| good	0.505 \| good	6.235 \| good	0.401 \| good
2025-11-07T04:00:00.000Z	38 \| good	6.907 \| good	12.208 \| good	13.02 \| good	0.617 \| good	5.171 \| good	0.34 \| good
2025-11-07T05:00:00.000Z	38 \| good	6.907 \| good	12.208 \| good	13.411 \| good	0.613 \| good	4.944 \| good	0.338 \| good
2025-11-07T06:00:00.000Z	44 \| good	7.902 \| good	12.215 \| good	13.532 \| good	0.402 \| good	6.582 \| good	0.021 \| good
2025-11-07T07:00:00.000Z	44 \| good	7.933 \| good	12.215 \| good	14.434 \| good	0.584 \| good	4.119 \| good	0.032 \| good
2025-11-07T08:00:00.000Z	44 \| good	7.942 \| good	12.246 \| good	14.873 \| good	0.414 \| good	6.05 \| good	0.025 \| good
2025-11-07T09:00:00.000Z	54 \| moderate	10.546 \| good	12.751 \| good	12.164 \| good	0.507 \| good	11.659 \| good	0.14 \| good
2025-11-07T10:00:00.000Z	44 \| good	8.401 \| good	9.514 \| good	13.923 \| good	0.473 \| good	10.67 \| good	0.134 \| good
2025-11-07T11:00:00.000Z	33 \| good	5.506 \| good	6.896 \| good	20.503 \| good	0.328 \| good	7.375 \| good	0.124 \| good
2025-11-07T12:00:00.000Z	22 \| good	4.251 \| good	6.268 \| good	22.845 \| good	0.239 \| good	4.463 \| good	0.117 \| good
2025-11-07T13:00:00.000Z	44 \| good	7.974 \| good	12.277 \| good	12.951 \| good	0.509 \| good	6.123 \| good	0.021 \| good
2025-11-07T14:00:00.000Z	44 \| good	7.974 \| good	12.277 \| good	14.921 \| good	0.509 \| good	4.127 \| good	0.029 \| good
2025-11-07T15:00:00.000Z	44 \| good	7.974 \| good	12.277 \| good	16.891 \| good	0.59 \| good	4.111 \| good	0.029 \| good
2025-11-07T16:00:00.000Z	44 \| good	7.933 \| good	11.308 \| good	19.371 \| good	0.661 \| good	3.629 \| good	0.031 \| good
2025-11-07T17:00:00.000Z	44 \| good	7.933 \| good	11.308 \| good	22.313 \| good	0.594 \| good	4.659 \| good	0.036 \| good
2025-11-07T18:00:00.000Z	44 \| good	7.927 \| good	11.277 \| good	23.82 \| good	0.729 \| good	7.768 \| good	0.046 \| good
2025-11-07T19:00:00.000Z	44 \| good	7.927 \| good	11.277 \| good	25.233 \| good	0.813 \| good	8.415 \| good	0.058 \| good
2025-11-07T20:00:00.000Z	44 \| good	7.927 \| good	10.37 \| good	25.672 \| good	0.661 \| good	8.979 \| good	0.053 \| good
2025-11-07T21:00:00.000Z	38 \| good	7.026 \| good	10.4 \| good	25.233 \| good	0.596 \| good	11.711 \| good	0.051 \| good
2025-11-07T22:00:00.000Z	38 \| good	7.026 \| good	10.369 \| good	24.746 \| good	0.596 \| good	5.355 \| good	0.059 \| good
2025-11-07T23:00:00.000Z	38 \| good	7.02 \| good	10.339 \| good	23.797 \| good	0.592 \| good	4.757 \| good	0.082 \| good
2025-11-08T00:00:00.000Z	38 \| good	6.909 \| good	9.31 \| good	23.361 \| good	0.7 \| good	3.666 \| good	0.861 \| good
2025-11-08T01:00:00.000Z	38 \| good	6.872 \| good	9.225 \| good	21.874 \| good	0.654 \| good	5.513 \| good	0.441 \| good
2025-11-08T02:00:00.000Z	33 \| good	5.957 \| good	8.31 \| good	20.897 \| good	0.531 \| good	3.612 \| good	0.332 \| good
2025-11-08T03:00:00.000Z	33 \| good	5.957 \| good	8.31 \| good	20.96 \| good	0.508 \| good	3.67 \| good	0.296 \| good
2025-11-08T04:00:00.000Z	33 \| good	5.957 \| good	8.31 \| good	21.024 \| good	0.446 \| good	2.652 \| good	0.266 \| good
2025-11-08T05:00:00.000Z	27 \| good	5.042 \| good	8.31 \| good	21.459 \| good	0.506 \| good	2.165 \| good	0.284 \| good
2025-11-08T06:00:00.000Z	27 \| good	5.042 \| good	8.31 \| good	21.459 \| good	0.506 \| good	2.165 \| good	0.284 \| good
2025-11-08T06:00:00.000Z	33 \| good	5.721 \| good	9.302 \| good	24.89 \| good	0.206 \| good	1.709 \| good	0.116 \| good
2025-11-08T07:00:00.000Z	33 \| good	5.714 \| good	9.98 \| good	24.03 \| good	0.259 \| good	2.079 \| good	0.119 \| good
2025-11-08T08:00:00.000Z	33 \| good	5.788 \| good	9.202 \| good	24.499 \| good	0.276 \| good	2.623 \| good	0.123 \| good
2025-11-08T09:00:00.000Z	33 \| good	5.897 \| good	8.675 \| good	24.991 \| good	0.266 \| good	2.884 \| good	0.124 \| good
2025-11-08T10:00:00.000Z	27 \| good	4.756 \| good	8.964 \| good	25.863 \| good	0.254 \| good	2.814 \| good	0.121 \| good
2025-11-08T11:00:00.000Z	26 \| good	4.014 \| good	8.283 \| good	27.94 \| good	0.246 \| good	2.617 \| good	0.122 \| good
2025-11-08T12:00:00.000Z	27 \| good	3.84 \| good	7.958 \| good	29.413 \| good	0.23 \| good	2.398 \| good	0.121 \| good
2025-11-08T13:00:00.000Z	30 \| good	3.517 \| good	7.659 \| good	31.503 \| good	0.192 \| good	2.088 \| good	0.12 \| good
2025-11-08T14:00:00.000Z	30 \| good	3.447 \| good	7.906 \| good	32.264 \| good	0.201 \| good	2.338 \| good	0.119 \| good
2025-11-08T15:00:00.000Z	30 \| good	3.609 \| good	8.345 \| good	32.028 \| good	0.205 \| good	2.648 \| good	0.12 \| good
2025-11-08T16:00:00.000Z	27 \| good	5.205 \| good	9.986 \| good	28.601 \| good	0.243 \| good	3.736 \| good	0.125 \| good
2025-11-08T17:00:00.000Z	33 \| good	6.328 \| good	11.831 \| good	25.233 \| good	0.32 \| good	5.822 \| good	0.131 \| good
2025-11-08T18:00:00.000Z	44 \| good	7.944 \| good	14.177 \| good	20.132 \| good	0.458 \| good	8.332 \| good	0.141 \| good
2025-11-08T19:00:00.000Z	49 \| good	8.544 \| good	15.461 \| good	19.393 \| good	0.517 \| good	9.381 \| good	0.155 \| good
2025-11-08T20:00:00.000Z	49 \| good	9.415 \| good	15.374 \| good	17.433 \| good	0.571 \| good	9.759 \| good	0.158 \| good
2025-11-08T21:00:00.000Z	52 \| moderate	10.103 \| good	14.946 \| good	16.833 \| good	0.518 \| good	8.502 \| good	0.151 \| good
2025-11-08T22:00:00.000Z	49 \| good	8.827 \| good	13.488 \| good	19.049 \| good	0.477 \| good	7.029 \| good	0.14 \| good
2025-11-08T23:00:00.000Z	49 \| good	8.577 \| good	13.124 \| good	19.092 \| good	0.414 \| good	6.479 \| good	0.135 \| good
2025-11-09T00:00:00.000Z	49 \| good	8.903 \| good	12.233 \| good	19.096 \| good	0.29 \| good	6.069 \| good	0.132 \| good
2025-11-09T01:00:00.000Z	49 \| good	9.129 \| good	12.54 \| good	17.831 \| good	0.23 \| good	5.456 \| good	0.131 \| good
2025-11-09T02:00:00.000Z	49 \| good	8.912 \| good	12.445 \| good	17.904 \| good	0.204 \| good	4.687 \| good	0.127 \| good
2025-11-09T03:00:00.000Z	49 \| good	8.752 \| good	11.888 \| good	17.775 \| good	0.16 \| good	4.048 \| good	0.125 \| good
2025-11-09T04:00:00.000Z	44 \| good	8.212 \| good	12.093 \| good	17.384 \| good	0.137 \| good	3.439 \| good	0.122 \| good
2025-11-09T05:00:00.000Z	38 \| good	6.869 \| good	11.793 \| good	20.169 \| good	0.149 \| good	3.039 \| good	0.118 \| good
2025-11-09T06:00:00.000Z	33 \| good	6.354 \| good	8.725 \| good	21.865 \| good	0.165 \| good	2.829 \| good	0.116 \| good
2025-11-09T07:00:00.000Z	33 \| good	6.203 \| good	8.629 \| good	22.469 \| good	0.216 \| good	3.27 \| good	0.117 \| good
2025-11-09T08:00:00.000Z	38 \| good	6.514 \| good	12.796 \| good	22.6 \| good	0.294 \| good	3.802 \| good	0.12 \| good
2025-11-09T09:00:00.000Z	33 \| good	6.261 \| good	12.534 \| good	24.131 \| good	0.256 \| good	4.043 \| good	0.121 \| good
2025-11-09T10:00:00.000Z	27 \| good	4.97 \| good	10.617 \| good	26.078 \| good	0.25 \| good	3.62 \| good	0.118 \| good
2025-11-09T11:00:00.000Z	27 \| good	4.821 \| good	8.844 \| good	29.078 \| good	0.211 \| good	2.927 \| good	0.116 \| good
2025-11-09T12:00:00.000Z	28 \| good	4.384 \| good	8.454 \| good	30.092 \| good	0.165 \| good	2.584 \| good	0.114 \| good
2025-11-09T13:00:00.000Z	31 \| good	4.385 \| good	8.429 \| good	32.721 \| good	0.119 \| good	2.27 \| good	0.112 \| good
2025-11-09T14:00:00.000Z	31 \| good	4.023 \| good	8.346 \| good	33.432 \| good	0.113 \| good	2.323 \| good	0.112 \| good
2025-11-09T15:00:00.000Z	31 \| good	3.535 \| good	7.839 \| good	33.48 \| good	0.117 \| good	2.46 \| good	0.112 \| good
2025-11-09T16:00:00.000Z	31 \| good	4.243 \| good	8.122 \| good	33.163 \| good	0.123 \| good	2.735 \| good	0.114 \| good
2025-11-09T17:00:00.000Z	30 \| good	4.531 \| good	8.162 \| good	32.049 \| good	0.174 \| good	3.26 \| good	0.115 \| good
2025-11-09T18:00:00.000Z	29 \| good	5.063 \| good	7.647 \| good	30.947 \| good	0.23 \| good	3.67 \| good	0.117 \| good
2025-11-09T19:00:00.000Z	29 \| good	5.145 \| good	8.056 \| good	30.976 \| good	0.268 \| good	4.028 \| good	0.119 \| good
2025-11-09T20:00:00.000Z	29 \| good	5.193 \| good	7.755 \| good	31.295 \| good	0.255 \| good	3.953 \| good	0.118 \| good
2025-11-09T21:00:00.000Z	30 \| good	5 \| good	6.291 \| good	31.816 \| good	0.235 \| good	3.444 \| good	0.116 \| good
2025-11-09T22:00:00.000Z	30 \| good	4.572 \| good	6.115 \| good	31.575 \| good	0.21 \| good	3.046 \| good	0.114 \| good
2025-11-09T23:00:00.000Z	30 \| good	4.127 \| good	5.689 \| good	31.857 \| good	0.158 \| good	2.704 \| good	0.112 \| good
2025-11-10T00:00:00.000Z	30 \| good	3.717 \| good	4.965 \| good	31.991 \| good	0.113 \| good	2.357 \| good	0.111 \| good
2025-11-10T01:00:00.000Z	29 \| good	3.367 \| good	4.462 \| good	31.39 \| good	0.112 \| good	2.261 \| good	0.111 \| good
2025-11-10T02:00:00.000Z	29 \| good	3.262 \| good	4.579 \| good	30.527 \| good	0.124 \| good	2.212 \| good	0.111 \| good
2025-11-10T03:00:00.000Z	28 \| good	3.747 \| good	5.087 \| good	30.344 \| good	0.155 \| good	2.245 \| good	0.11 \| good
2025-11-10T04:00:00.000Z	28 \| good	3.626 \| good	5.51 \| good	30.32 \| good	0.159 \| good	2.118 \| good	0.11 \| good
2025-11-10T05:00:00.000Z	29 \| good	3.177 \| good	4.719 \| good	30.596 \| good	0.148 \| good	1.969 \| good	0.11 \| good

AbingdononThames

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AbingdononThames, Oxfordshire air quality map: Track AQI near you

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How accurate is Oxfordshire, UK air quality data?

Air quality data and pollutant measurements for Oxfordshire, 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

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Frequently asked questions

How often is the air quality data for Abingdononthames, Oxfordshire updated?

The air quality for Abingdononthames, Oxfordshire is updated every hour.

When was the worst air quality at Abingdononthames, Oxfordshire in the last 24 hrs?

The worst air quality in Abingdononthames, Oxfordshire in the last 24 hours was observed at 09:00:00 on 2025-11-07.

When was the best air quality at Abingdononthames, Oxfordshire in the last 24 hrs?

In the last 24 hrs, the best air quality in Abingdononthames, Oxfordshire was observed at 12:00:00 on 2025-11-07.

What is the current air quality in Abingdononthames, Oxfordshire?

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

What pollutant is the most common in Abingdononthames, Oxfordshire?

The most common pollutant in Abingdononthames, Oxfordshire is PM2.5.

What should I do if the air quality in Abingdononthames, Oxfordshire is poor?

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

What is the current concentration of PM_2.5 in Abingdononthames, Oxfordshire?

The current PM_2.5 concentration at Abingdononthames, Oxfordshire is 5.957 μg/m³.

What is the current concentration of PM₁₀ in Abingdononthames, Oxfordshire?

The current PM₁₀ concentration at Abingdononthames, Oxfordshire is 8.31 μg/m³.

What is the current concentration of carbon monoxide (CO) in Abingdononthames, Oxfordshire?

The current carbon monoxide (CO) concentration at Abingdononthames, Oxfordshire is 0.266 ppm.

What is the current concentration of sulfur dioxide (SO₂) in Abingdononthames, Oxfordshire?

The current sulfur dioxide (SO₂) concentration at Abingdononthames, Oxfordshire is 0.446 ppb.

What is the current concentration of ozone (O₃) in Abingdononthames, Oxfordshire?

The current ozone (O₃) concentration at Abingdononthames, Oxfordshire is 21.024 ppm.

What is the current concentration of nitrogen dioxide (NO₂) in Abingdononthames, Oxfordshire?

The current nitrogen dioxide (NO₂) concentration at Abingdononthames, Oxfordshire is 2.652 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-11-06T07:00:00.000Z	33 \| good	6.024 \| good	11.349 \| good	17.983 \| good	0.618 \| good	5.686 \| good	0.603 \| good
2025-11-06T08:00:00.000Z	33 \| good	6.125 \| good	11.456 \| good	17.964 \| good	0.438 \| good	6.685 \| good	0.032 \| good
2025-11-06T09:00:00.000Z	33 \| good	6.047 \| good	11.372 \| good	17.861 \| good	0.645 \| good	8.856 \| good	0.514 \| good
2025-11-06T10:00:00.000Z	33 \| good	6.125 \| good	11.456 \| good	17.453 \| good	0.551 \| good	7.266 \| good	0.024 \| good
2025-11-06T11:00:00.000Z	33 \| good	6.125 \| good	11.456 \| good	17.43 \| good	0.611 \| good	6.35 \| good	0.027 \| good
2025-11-06T12:00:00.000Z	33 \| good	6.125 \| good	11.456 \| good	16.943 \| good	0.628 \| good	7.249 \| good	0.016 \| good
2025-11-06T13:00:00.000Z	33 \| good	6.125 \| good	11.456 \| good	16.943 \| good	0.559 \| good	7.601 \| good	0.014 \| good
2025-11-06T14:00:00.000Z	33 \| good	6.125 \| good	11.456 \| good	16.504 \| good	0.85 \| good	7.552 \| good	0.014 \| good
2025-11-06T15:00:00.000Z	33 \| good	6.125 \| good	11.456 \| good	17.014 \| good	0.763 \| good	6.57 \| good	0.016 \| good
2025-11-06T16:00:00.000Z	33 \| good	6.125 \| good	11.456 \| good	17.524 \| good	0.897 \| good	4.623 \| good	0.023 \| good
2025-11-06T17:00:00.000Z	33 \| good	6.094 \| good	11.425 \| good	18.497 \| good	0.894 \| good	6.153 \| good	0.042 \| good
2025-11-06T18:00:00.000Z	33 \| good	6.088 \| good	11.394 \| good	19.008 \| good	0.848 \| good	10.162 \| good	0.061 \| good
2025-11-06T19:00:00.000Z	33 \| good	6.088 \| good	11.394 \| good	18.592 \| good	0.896 \| good	14.472 \| good	0.048 \| good
2025-11-06T20:00:00.000Z	33 \| good	6.047 \| good	11.332 \| good	18.568 \| good	0.845 \| good	13.156 \| good	0.056 \| good
2025-11-06T21:00:00.000Z	33 \| good	6.047 \| good	11.332 \| good	17.619 \| good	0.85 \| good	13.638 \| good	0.044 \| good
2025-11-06T22:00:00.000Z	33 \| good	6.047 \| good	11.332 \| good	17.109 \| good	0.981 \| good	12.19 \| good	0.053 \| good
2025-11-06T23:00:00.000Z	33 \| good	6.047 \| good	11.332 \| good	15.163 \| good	0.779 \| good	13.172 \| good	0.058 \| good
2025-11-07T00:00:00.000Z	33 \| good	5.992 \| good	11.293 \| good	13.195 \| good	1.119 \| good	12.727 \| good	0.553 \| good
2025-11-07T01:00:00.000Z	33 \| good	6.002 \| good	11.324 \| good	12.21 \| good	1.163 \| good	8.268 \| good	0.485 \| good
2025-11-07T02:00:00.000Z	38 \| good	6.917 \| good	11.324 \| good	11.659 \| good	0.675 \| good	10.622 \| good	0.441 \| good
2025-11-07T03:00:00.000Z	38 \| good	6.907 \| good	11.293 \| good	12.074 \| good	0.505 \| good	6.235 \| good	0.401 \| good
2025-11-07T04:00:00.000Z	38 \| good	6.907 \| good	12.208 \| good	13.02 \| good	0.617 \| good	5.171 \| good	0.34 \| good
2025-11-07T05:00:00.000Z	38 \| good	6.907 \| good	12.208 \| good	13.411 \| good	0.613 \| good	4.944 \| good	0.338 \| good
2025-11-07T06:00:00.000Z	44 \| good	7.902 \| good	12.215 \| good	13.532 \| good	0.402 \| good	6.582 \| good	0.021 \| good
2025-11-07T07:00:00.000Z	44 \| good	7.933 \| good	12.215 \| good	14.434 \| good	0.584 \| good	4.119 \| good	0.032 \| good
2025-11-07T08:00:00.000Z	44 \| good	7.942 \| good	12.246 \| good	14.873 \| good	0.414 \| good	6.05 \| good	0.025 \| good
2025-11-07T09:00:00.000Z	54 \| moderate	10.546 \| good	12.751 \| good	12.164 \| good	0.507 \| good	11.659 \| good	0.14 \| good
2025-11-07T10:00:00.000Z	44 \| good	8.401 \| good	9.514 \| good	13.923 \| good	0.473 \| good	10.67 \| good	0.134 \| good
2025-11-07T11:00:00.000Z	33 \| good	5.506 \| good	6.896 \| good	20.503 \| good	0.328 \| good	7.375 \| good	0.124 \| good
2025-11-07T12:00:00.000Z	22 \| good	4.251 \| good	6.268 \| good	22.845 \| good	0.239 \| good	4.463 \| good	0.117 \| good
2025-11-07T13:00:00.000Z	44 \| good	7.974 \| good	12.277 \| good	12.951 \| good	0.509 \| good	6.123 \| good	0.021 \| good
2025-11-07T14:00:00.000Z	44 \| good	7.974 \| good	12.277 \| good	14.921 \| good	0.509 \| good	4.127 \| good	0.029 \| good
2025-11-07T15:00:00.000Z	44 \| good	7.974 \| good	12.277 \| good	16.891 \| good	0.59 \| good	4.111 \| good	0.029 \| good
2025-11-07T16:00:00.000Z	44 \| good	7.933 \| good	11.308 \| good	19.371 \| good	0.661 \| good	3.629 \| good	0.031 \| good
2025-11-07T17:00:00.000Z	44 \| good	7.933 \| good	11.308 \| good	22.313 \| good	0.594 \| good	4.659 \| good	0.036 \| good
2025-11-07T18:00:00.000Z	44 \| good	7.927 \| good	11.277 \| good	23.82 \| good	0.729 \| good	7.768 \| good	0.046 \| good
2025-11-07T19:00:00.000Z	44 \| good	7.927 \| good	11.277 \| good	25.233 \| good	0.813 \| good	8.415 \| good	0.058 \| good
2025-11-07T20:00:00.000Z	44 \| good	7.927 \| good	10.37 \| good	25.672 \| good	0.661 \| good	8.979 \| good	0.053 \| good
2025-11-07T21:00:00.000Z	38 \| good	7.026 \| good	10.4 \| good	25.233 \| good	0.596 \| good	11.711 \| good	0.051 \| good
2025-11-07T22:00:00.000Z	38 \| good	7.026 \| good	10.369 \| good	24.746 \| good	0.596 \| good	5.355 \| good	0.059 \| good
2025-11-07T23:00:00.000Z	38 \| good	7.02 \| good	10.339 \| good	23.797 \| good	0.592 \| good	4.757 \| good	0.082 \| good
2025-11-08T00:00:00.000Z	38 \| good	6.909 \| good	9.31 \| good	23.361 \| good	0.7 \| good	3.666 \| good	0.861 \| good
2025-11-08T01:00:00.000Z	38 \| good	6.872 \| good	9.225 \| good	21.874 \| good	0.654 \| good	5.513 \| good	0.441 \| good
2025-11-08T02:00:00.000Z	33 \| good	5.957 \| good	8.31 \| good	20.897 \| good	0.531 \| good	3.612 \| good	0.332 \| good
2025-11-08T03:00:00.000Z	33 \| good	5.957 \| good	8.31 \| good	20.96 \| good	0.508 \| good	3.67 \| good	0.296 \| good
2025-11-08T04:00:00.000Z	33 \| good	5.957 \| good	8.31 \| good	21.024 \| good	0.446 \| good	2.652 \| good	0.266 \| good
2025-11-08T05:00:00.000Z	27 \| good	5.042 \| good	8.31 \| good	21.459 \| good	0.506 \| good	2.165 \| good	0.284 \| good
2025-11-08T06:00:00.000Z	27 \| good	5.042 \| good	8.31 \| good	21.459 \| good	0.506 \| good	2.165 \| good	0.284 \| good
2025-11-08T06:00:00.000Z	33 \| good	5.721 \| good	9.302 \| good	24.89 \| good	0.206 \| good	1.709 \| good	0.116 \| good
2025-11-08T07:00:00.000Z	33 \| good	5.714 \| good	9.98 \| good	24.03 \| good	0.259 \| good	2.079 \| good	0.119 \| good
2025-11-08T08:00:00.000Z	33 \| good	5.788 \| good	9.202 \| good	24.499 \| good	0.276 \| good	2.623 \| good	0.123 \| good
2025-11-08T09:00:00.000Z	33 \| good	5.897 \| good	8.675 \| good	24.991 \| good	0.266 \| good	2.884 \| good	0.124 \| good
2025-11-08T10:00:00.000Z	27 \| good	4.756 \| good	8.964 \| good	25.863 \| good	0.254 \| good	2.814 \| good	0.121 \| good
2025-11-08T11:00:00.000Z	26 \| good	4.014 \| good	8.283 \| good	27.94 \| good	0.246 \| good	2.617 \| good	0.122 \| good
2025-11-08T12:00:00.000Z	27 \| good	3.84 \| good	7.958 \| good	29.413 \| good	0.23 \| good	2.398 \| good	0.121 \| good
2025-11-08T13:00:00.000Z	30 \| good	3.517 \| good	7.659 \| good	31.503 \| good	0.192 \| good	2.088 \| good	0.12 \| good
2025-11-08T14:00:00.000Z	30 \| good	3.447 \| good	7.906 \| good	32.264 \| good	0.201 \| good	2.338 \| good	0.119 \| good
2025-11-08T15:00:00.000Z	30 \| good	3.609 \| good	8.345 \| good	32.028 \| good	0.205 \| good	2.648 \| good	0.12 \| good
2025-11-08T16:00:00.000Z	27 \| good	5.205 \| good	9.986 \| good	28.601 \| good	0.243 \| good	3.736 \| good	0.125 \| good
2025-11-08T17:00:00.000Z	33 \| good	6.328 \| good	11.831 \| good	25.233 \| good	0.32 \| good	5.822 \| good	0.131 \| good
2025-11-08T18:00:00.000Z	44 \| good	7.944 \| good	14.177 \| good	20.132 \| good	0.458 \| good	8.332 \| good	0.141 \| good
2025-11-08T19:00:00.000Z	49 \| good	8.544 \| good	15.461 \| good	19.393 \| good	0.517 \| good	9.381 \| good	0.155 \| good
2025-11-08T20:00:00.000Z	49 \| good	9.415 \| good	15.374 \| good	17.433 \| good	0.571 \| good	9.759 \| good	0.158 \| good
2025-11-08T21:00:00.000Z	52 \| moderate	10.103 \| good	14.946 \| good	16.833 \| good	0.518 \| good	8.502 \| good	0.151 \| good
2025-11-08T22:00:00.000Z	49 \| good	8.827 \| good	13.488 \| good	19.049 \| good	0.477 \| good	7.029 \| good	0.14 \| good
2025-11-08T23:00:00.000Z	49 \| good	8.577 \| good	13.124 \| good	19.092 \| good	0.414 \| good	6.479 \| good	0.135 \| good
2025-11-09T00:00:00.000Z	49 \| good	8.903 \| good	12.233 \| good	19.096 \| good	0.29 \| good	6.069 \| good	0.132 \| good
2025-11-09T01:00:00.000Z	49 \| good	9.129 \| good	12.54 \| good	17.831 \| good	0.23 \| good	5.456 \| good	0.131 \| good
2025-11-09T02:00:00.000Z	49 \| good	8.912 \| good	12.445 \| good	17.904 \| good	0.204 \| good	4.687 \| good	0.127 \| good
2025-11-09T03:00:00.000Z	49 \| good	8.752 \| good	11.888 \| good	17.775 \| good	0.16 \| good	4.048 \| good	0.125 \| good
2025-11-09T04:00:00.000Z	44 \| good	8.212 \| good	12.093 \| good	17.384 \| good	0.137 \| good	3.439 \| good	0.122 \| good
2025-11-09T05:00:00.000Z	38 \| good	6.869 \| good	11.793 \| good	20.169 \| good	0.149 \| good	3.039 \| good	0.118 \| good
2025-11-09T06:00:00.000Z	33 \| good	6.354 \| good	8.725 \| good	21.865 \| good	0.165 \| good	2.829 \| good	0.116 \| good
2025-11-09T07:00:00.000Z	33 \| good	6.203 \| good	8.629 \| good	22.469 \| good	0.216 \| good	3.27 \| good	0.117 \| good
2025-11-09T08:00:00.000Z	38 \| good	6.514 \| good	12.796 \| good	22.6 \| good	0.294 \| good	3.802 \| good	0.12 \| good
2025-11-09T09:00:00.000Z	33 \| good	6.261 \| good	12.534 \| good	24.131 \| good	0.256 \| good	4.043 \| good	0.121 \| good
2025-11-09T10:00:00.000Z	27 \| good	4.97 \| good	10.617 \| good	26.078 \| good	0.25 \| good	3.62 \| good	0.118 \| good
2025-11-09T11:00:00.000Z	27 \| good	4.821 \| good	8.844 \| good	29.078 \| good	0.211 \| good	2.927 \| good	0.116 \| good
2025-11-09T12:00:00.000Z	28 \| good	4.384 \| good	8.454 \| good	30.092 \| good	0.165 \| good	2.584 \| good	0.114 \| good
2025-11-09T13:00:00.000Z	31 \| good	4.385 \| good	8.429 \| good	32.721 \| good	0.119 \| good	2.27 \| good	0.112 \| good
2025-11-09T14:00:00.000Z	31 \| good	4.023 \| good	8.346 \| good	33.432 \| good	0.113 \| good	2.323 \| good	0.112 \| good
2025-11-09T15:00:00.000Z	31 \| good	3.535 \| good	7.839 \| good	33.48 \| good	0.117 \| good	2.46 \| good	0.112 \| good
2025-11-09T16:00:00.000Z	31 \| good	4.243 \| good	8.122 \| good	33.163 \| good	0.123 \| good	2.735 \| good	0.114 \| good
2025-11-09T17:00:00.000Z	30 \| good	4.531 \| good	8.162 \| good	32.049 \| good	0.174 \| good	3.26 \| good	0.115 \| good
2025-11-09T18:00:00.000Z	29 \| good	5.063 \| good	7.647 \| good	30.947 \| good	0.23 \| good	3.67 \| good	0.117 \| good
2025-11-09T19:00:00.000Z	29 \| good	5.145 \| good	8.056 \| good	30.976 \| good	0.268 \| good	4.028 \| good	0.119 \| good
2025-11-09T20:00:00.000Z	29 \| good	5.193 \| good	7.755 \| good	31.295 \| good	0.255 \| good	3.953 \| good	0.118 \| good
2025-11-09T21:00:00.000Z	30 \| good	5 \| good	6.291 \| good	31.816 \| good	0.235 \| good	3.444 \| good	0.116 \| good
2025-11-09T22:00:00.000Z	30 \| good	4.572 \| good	6.115 \| good	31.575 \| good	0.21 \| good	3.046 \| good	0.114 \| good
2025-11-09T23:00:00.000Z	30 \| good	4.127 \| good	5.689 \| good	31.857 \| good	0.158 \| good	2.704 \| good	0.112 \| good
2025-11-10T00:00:00.000Z	30 \| good	3.717 \| good	4.965 \| good	31.991 \| good	0.113 \| good	2.357 \| good	0.111 \| good
2025-11-10T01:00:00.000Z	29 \| good	3.367 \| good	4.462 \| good	31.39 \| good	0.112 \| good	2.261 \| good	0.111 \| good
2025-11-10T02:00:00.000Z	29 \| good	3.262 \| good	4.579 \| good	30.527 \| good	0.124 \| good	2.212 \| good	0.111 \| good
2025-11-10T03:00:00.000Z	28 \| good	3.747 \| good	5.087 \| good	30.344 \| good	0.155 \| good	2.245 \| good	0.11 \| good
2025-11-10T04:00:00.000Z	28 \| good	3.626 \| good	5.51 \| good	30.32 \| good	0.159 \| good	2.118 \| good	0.11 \| good
2025-11-10T05:00:00.000Z	29 \| good	3.177 \| good	4.719 \| good	30.596 \| good	0.148 \| good	1.969 \| good	0.11 \| good

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Major air pollutants in AbingdononThames, Oxfordshire

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

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