What are the current PM10 levels at Caerphilly, Wales?

The current PM10 levels in Caerphilly, Wales are 8.732 μg/m3.

What are the current sulfur dioxide (SO2) levels at Caerphilly, Wales?

The current sulfur dioxide (SO2) levels in Caerphilly, Wales are 0.391 ppb.

What are the current ozone (O3) levels at Caerphilly, Wales?

The current ozone (O3) levels at Caerphilly, Wales is 29.302 ppm.

What are the current nitrogen dioxide (NO2) levels at Caerphilly, Wales?

The current nitrogen dioxide (NO2) levels at Caerphilly, Wales is 2.075 ppb.

Real-time air quality index in Caerphilly, Wales today

Q: What are the current PM2.5 levels in Caerphilly, Wales?

The measured PM2.5 levels in Caerphilly, Wales at present are 2.31 μg/m3.

Stay updated with real-time air quality in Caerphilly, Wales 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

Caerphilly, Wales

Last updated: ... (Local time)

Common air pollutants in Caerphilly, Wales

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

2.25 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

8.16 μg/m³

155

255

425

605+

Ozone (O₃)

28.52 ppb

201

201+

Sulfur Dioxide (SO₂)

0.56 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

2.22 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.17 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Caerphilly, Wales

Get Live Pollen Counts

Caerphilly, Wales

Scroll To Air Quality Map

Track live Caerphilly, Wales air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-10-07T15:00:00.000Z	23 \| good	2.812 \| good	10.896 \| good	24.911 \| good	0.479 \| good	4.224 \| good	0.174 \| good
2026-10-07T16:00:00.000Z	24 \| good	2.802 \| good	10.797 \| good	25.77 \| good	0.56 \| good	4.374 \| good	0.174 \| good
2026-10-07T17:00:00.000Z	24 \| good	2.622 \| good	9.771 \| good	26.441 \| good	0.557 \| good	6.633 \| good	0.268 \| good
2026-10-07T18:00:00.000Z	27 \| good	2.846 \| good	10.034 \| good	28.93 \| good	0.542 \| good	5.933 \| good	0.322 \| good
2026-10-07T19:00:00.000Z	28 \| good	2.879 \| good	10.043 \| good	29.869 \| good	0.399 \| good	7.606 \| good	0.551 \| good
2026-10-07T20:00:00.000Z	28 \| good	2.442 \| good	9.252 \| good	30.273 \| good	0.497 \| good	7.364 \| good	0.528 \| good
2026-10-07T21:00:00.000Z	30 \| good	2.455 \| good	9.264 \| good	31.529 \| good	0.496 \| good	5.251 \| good	0.526 \| good
2026-10-07T22:00:00.000Z	28 \| good	2.461 \| good	9.28 \| good	29.695 \| good	0.496 \| good	7.603 \| good	0.449 \| good
2026-10-07T23:00:00.000Z	29 \| good	2.418 \| good	9.12 \| good	30.613 \| good	0.564 \| good	6.095 \| good	0.443 \| good
2026-10-08T00:00:00.000Z	29 \| good	2.408 \| good	9.146 \| good	31.032 \| good	0.495 \| good	4.775 \| good	0.401 \| good
2026-10-08T01:00:00.000Z	28 \| good	2.392 \| good	8.985 \| good	30.303 \| good	0.496 \| good	4.126 \| good	0.36 \| good
2026-10-08T02:00:00.000Z	26 \| good	2.416 \| good	9.197 \| good	27.735 \| good	0.495 \| good	4.539 \| good	0.334 \| good
2026-10-08T03:00:00.000Z	26 \| good	2.462 \| good	9.352 \| good	27.569 \| good	0.559 \| good	3.912 \| good	0.319 \| good
2026-10-08T04:00:00.000Z	26 \| good	2.198 \| good	9.418 \| good	27.885 \| good	0.496 \| good	2.954 \| good	0.374 \| good
2026-10-08T05:00:00.000Z	23 \| good	2.039 \| good	8.479 \| good	25.444 \| good	0.492 \| good	2.675 \| good	0.34 \| good
2026-10-08T06:00:00.000Z	24 \| good	1.997 \| good	8.209 \| good	25.867 \| good	0.489 \| good	6.195 \| good	0.359 \| good
2026-10-08T07:00:00.000Z	22 \| good	1.955 \| good	8.324 \| good	24.45 \| good	0.485 \| good	11.081 \| good	0.373 \| good
2026-10-08T08:00:00.000Z	20 \| good	2.095 \| good	8.865 \| good	21.73 \| good	0.538 \| good	18.266 \| good	0.402 \| good
2026-10-08T09:00:00.000Z	19 \| good	2.196 \| good	8.897 \| good	21.077 \| good	0.563 \| good	15.458 \| good	0.355 \| good
2026-10-08T10:00:00.000Z	19 \| good	2.407 \| good	8.948 \| good	19.568 \| good	0.493 \| good	8.861 \| good	0.302 \| good
2026-10-08T11:00:00.000Z	20 \| good	2.628 \| good	9.754 \| good	22.099 \| good	0.567 \| good	3.483 \| good	0.278 \| good
2026-10-08T12:00:00.000Z	20 \| good	2.646 \| good	10.213 \| good	21.818 \| good	0.574 \| good	4.594 \| good	0.246 \| good
2026-10-08T13:00:00.000Z	22 \| good	2.663 \| good	9.975 \| good	23.641 \| good	0.511 \| good	4.072 \| good	0.237 \| good
2026-10-08T14:00:00.000Z	23 \| good	2.659 \| good	9.799 \| good	24.932 \| good	0.582 \| good	4.453 \| good	0.229 \| good
2026-10-08T15:00:00.000Z	22 \| good	2.645 \| good	9.827 \| good	24.492 \| good	0.583 \| good	3.314 \| good	0.224 \| good
2026-10-08T16:00:00.000Z	22 \| good	2.608 \| good	9.787 \| good	24.136 \| good	0.58 \| good	3.886 \| good	0.267 \| good
2026-10-08T17:00:00.000Z	23 \| good	2.654 \| good	9.522 \| good	24.711 \| good	0.572 \| good	4.017 \| good	0.284 \| good
2026-10-08T18:00:00.000Z	20 \| good	2.667 \| good	10.112 \| good	22.288 \| good	0.57 \| good	4.478 \| good	0.363 \| good
2026-10-08T19:00:00.000Z	22 \| good	2.663 \| good	9.959 \| good	24.048 \| good	0.575 \| good	4.125 \| good	0.347 \| good
2026-10-08T20:00:00.000Z	28 \| good	2.653 \| good	10.393 \| good	29.886 \| good	0.694 \| good	5.151 \| good	0.473 \| good
2026-10-08T21:00:00.000Z	25 \| good	2.674 \| good	10.432 \| good	27.333 \| good	0.995 \| good	3.64 \| good	0.491 \| good
2026-10-08T22:00:00.000Z	26 \| good	2.675 \| good	10.292 \| good	27.707 \| good	0.55 \| good	2.492 \| good	0.507 \| good
2026-10-08T23:00:00.000Z	28 \| good	2.447 \| good	9.439 \| good	30.036 \| good	0.544 \| good	1.792 \| good	0.469 \| good
2026-10-09T00:00:00.000Z	28 \| good	2.434 \| good	9.492 \| good	29.748 \| good	0.734 \| good	1.821 \| good	0.385 \| good
2026-10-09T01:00:00.000Z	27 \| good	2.445 \| good	9.586 \| good	29.384 \| good	0.579 \| good	1.262 \| good	0.372 \| good
2026-10-09T02:00:00.000Z	27 \| good	2.42 \| good	9.418 \| good	28.856 \| good	0.656 \| good	0.969 \| good	0.35 \| good
2026-10-09T03:00:00.000Z	27 \| good	2.284 \| good	8.78 \| good	28.927 \| good	0.652 \| good	1.736 \| good	0.27 \| good
2026-10-09T04:00:00.000Z	27 \| good	2.277 \| good	8.777 \| good	28.981 \| good	0.542 \| good	0.972 \| good	0.153 \| good
2026-10-09T05:00:00.000Z	27 \| good	2.459 \| good	9.67 \| good	29.277 \| good	0.597 \| good	1.095 \| good	0.24 \| good
2026-10-09T06:00:00.000Z	28 \| good	2.413 \| good	9.464 \| good	29.528 \| good	0.445 \| good	1.371 \| good	0.269 \| good
2026-10-09T07:00:00.000Z	28 \| good	2.242 \| good	8.738 \| good	29.655 \| good	0.53 \| good	1.607 \| good	0.333 \| good
2026-10-09T08:00:00.000Z	28 \| good	2.237 \| good	8.81 \| good	29.518 \| good	0.391 \| good	2.369 \| good	0.401 \| good
2026-10-09T09:00:00.000Z	31 \| good	4.543 \| good	10.207 \| good	33.621 \| good	0.206 \| good	1.445 \| good	0.12 \| good
2026-10-09T10:00:00.000Z	27 \| good	2.31 \| good	8.732 \| good	29.302 \| good	0.391 \| good	2.075 \| good	0.358 \| good
2026-10-09T11:00:00.000Z	27 \| good	2.317 \| good	8.748 \| good	29.322 \| good	0.546 \| good	1.531 \| good	0.248 \| good
2026-10-09T12:00:00.000Z	26 \| good	2.299 \| good	8.801 \| good	28.307 \| good	0.496 \| good	1.704 \| good	0.19 \| good
2026-10-09T13:00:00.000Z	27 \| good	2.255 \| good	8.161 \| good	28.523 \| good	0.557 \| good	2.224 \| good	0.172 \| good
2026-10-09T14:00:00.000Z	29 \| good	2.901 \| good	6.426 \| good	30.88 \| good	0.243 \| good	1.284 \| good	0.125 \| good
2026-10-09T14:00:00.000Z	27 \| good	2.255 \| good	8.161 \| good	28.523 \| good	0.557 \| good	2.224 \| good	0.172 \| good
2026-10-09T12:00:00.000Z	31 \| good	3.384 \| good	6.413 \| good	33.861 \| good	0.166 \| good	1.114 \| good	0.122 \| good
2026-10-09T13:00:00.000Z	31 \| good	3.587 \| good	6.945 \| good	32.769 \| good	0.208 \| good	1.184 \| good	0.126 \| good
2026-10-09T14:00:00.000Z	29 \| good	2.933 \| good	6.873 \| good	31.075 \| good	0.231 \| good	1.478 \| good	0.127 \| good
2026-10-09T15:00:00.000Z	30 \| good	2.929 \| good	7.246 \| good	32.02 \| good	0.264 \| good	1.442 \| good	0.128 \| good
2026-10-09T16:00:00.000Z	32 \| good	3.322 \| good	10.148 \| good	34.628 \| good	0.254 \| good	1.786 \| good	0.129 \| good
2026-10-09T17:00:00.000Z	31 \| good	3.942 \| good	9.218 \| good	33.141 \| good	0.306 \| good	2.319 \| good	0.136 \| good
2026-10-09T18:00:00.000Z	30 \| good	4.373 \| good	10.022 \| good	31.518 \| good	0.356 \| good	3.077 \| good	0.138 \| good
2026-10-09T19:00:00.000Z	27 \| good	4.624 \| good	8.653 \| good	29.275 \| good	0.382 \| good	3.207 \| good	0.141 \| good
2026-10-09T20:00:00.000Z	28 \| good	4.503 \| good	11.027 \| good	30.314 \| good	0.349 \| good	2.829 \| good	0.139 \| good
2026-10-09T21:00:00.000Z	28 \| good	4.376 \| good	8.81 \| good	30.087 \| good	0.323 \| good	2.577 \| good	0.141 \| good
2026-10-09T22:00:00.000Z	28 \| good	4.228 \| good	11.245 \| good	30.01 \| good	0.303 \| good	2.272 \| good	0.14 \| good
2026-10-09T23:00:00.000Z	29 \| good	3.858 \| good	8.025 \| good	31.005 \| good	0.265 \| good	1.995 \| good	0.14 \| good
2026-10-10T00:00:00.000Z	29 \| good	3.75 \| good	7.825 \| good	31.493 \| good	0.274 \| good	1.717 \| good	0.141 \| good
2026-10-10T01:00:00.000Z	30 \| good	3.656 \| good	8.184 \| good	31.824 \| good	0.224 \| good	1.49 \| good	0.138 \| good
2026-10-10T02:00:00.000Z	30 \| good	3.594 \| good	8.516 \| good	31.804 \| good	0.227 \| good	1.345 \| good	0.138 \| good
2026-10-10T03:00:00.000Z	29 \| good	3.546 \| good	8.547 \| good	31.075 \| good	0.226 \| good	1.358 \| good	0.137 \| good
2026-10-10T04:00:00.000Z	29 \| good	3.56 \| good	10.577 \| good	30.696 \| good	0.246 \| good	1.451 \| good	0.137 \| good
2026-10-10T05:00:00.000Z	28 \| good	3.675 \| good	8.97 \| good	30.349 \| good	0.233 \| good	1.616 \| good	0.138 \| good
2026-10-10T06:00:00.000Z	27 \| good	3.821 \| good	9.48 \| good	29.215 \| good	0.296 \| good	1.999 \| good	0.14 \| good
2026-10-10T07:00:00.000Z	27 \| good	3.836 \| good	9.165 \| good	29.31 \| good	0.346 \| good	2.417 \| good	0.146 \| good
2026-10-10T08:00:00.000Z	28 \| good	3.577 \| good	9.068 \| good	30.491 \| good	0.344 \| good	2.074 \| good	0.145 \| good
2026-10-10T09:00:00.000Z	31 \| good	3.301 \| good	9.006 \| good	32.536 \| good	0.289 \| good	1.395 \| good	0.141 \| good
2026-10-10T10:00:00.000Z	31 \| good	3.187 \| good	8.442 \| good	32.63 \| good	0.282 \| good	1.171 \| good	0.138 \| good
2026-10-10T11:00:00.000Z	31 \| good	3.095 \| good	8.278 \| good	33.758 \| good	0.233 \| good	1.045 \| good	0.135 \| good
2026-10-10T12:00:00.000Z	32 \| good	2.962 \| good	7.95 \| good	35.005 \| good	0.198 \| good	0.981 \| good	0.134 \| good
2026-10-10T13:00:00.000Z	32 \| good	3.027 \| good	8.473 \| good	35.26 \| good	0.2 \| good	0.958 \| good	0.134 \| good
2026-10-10T14:00:00.000Z	33 \| good	3.419 \| good	8.241 \| good	36.184 \| good	0.204 \| good	1.114 \| good	0.134 \| good
2026-10-10T15:00:00.000Z	33 \| good	3.392 \| good	9.142 \| good	35.692 \| good	0.198 \| good	1.257 \| good	0.134 \| good
2026-10-10T16:00:00.000Z	32 \| good	3.63 \| good	9.253 \| good	34.546 \| good	0.244 \| good	1.595 \| good	0.137 \| good
2026-10-10T17:00:00.000Z	31 \| good	4.103 \| good	10.232 \| good	33.428 \| good	0.301 \| good	2.093 \| good	0.141 \| good
2026-10-10T18:00:00.000Z	30 \| good	4.825 \| good	10.681 \| good	31.785 \| good	0.344 \| good	3.122 \| good	0.144 \| good
2026-10-10T19:00:00.000Z	28 \| good	5.25 \| good	10.305 \| good	30.227 \| good	0.402 \| good	3.834 \| good	0.142 \| good
2026-10-10T20:00:00.000Z	33 \| good	5.608 \| good	10.567 \| good	29.233 \| good	0.447 \| good	4.151 \| good	0.143 \| good
2026-10-10T21:00:00.000Z	33 \| good	5.561 \| good	10.836 \| good	28.571 \| good	0.449 \| good	3.355 \| good	0.147 \| good
2026-10-10T22:00:00.000Z	27 \| good	5.486 \| good	11.07 \| good	27.836 \| good	0.489 \| good	3.525 \| good	0.153 \| good
2026-10-10T23:00:00.000Z	27 \| good	5.285 \| good	10.49 \| good	27.263 \| good	0.455 \| good	3.616 \| good	0.152 \| good
2026-10-11T00:00:00.000Z	27 \| good	5.464 \| good	10.401 \| good	26.462 \| good	0.427 \| good	3.792 \| good	0.151 \| good
2026-10-11T01:00:00.000Z	27 \| good	5.146 \| good	11.226 \| good	25.875 \| good	0.377 \| good	3.674 \| good	0.15 \| good
2026-10-11T02:00:00.000Z	27 \| good	4.903 \| good	11.288 \| good	26.506 \| good	0.307 \| good	2.956 \| good	0.144 \| good
2026-10-11T03:00:00.000Z	27 \| good	5.061 \| good	10.543 \| good	26.969 \| good	0.311 \| good	2.864 \| good	0.14 \| good
2026-10-11T04:00:00.000Z	27 \| good	5.007 \| good	10.092 \| good	26.929 \| good	0.297 \| good	2.763 \| good	0.141 \| good
2026-10-11T05:00:00.000Z	27 \| good	4.813 \| good	10.32 \| good	26.55 \| good	0.257 \| good	2.768 \| good	0.141 \| good
2026-10-11T06:00:00.000Z	27 \| good	4.986 \| good	10.43 \| good	25.67 \| good	0.287 \| good	3.472 \| good	0.14 \| good
2026-10-11T07:00:00.000Z	27 \| good	5.208 \| good	11.064 \| good	24.768 \| good	0.403 \| good	4.055 \| good	0.146 \| good
2026-10-11T08:00:00.000Z	27 \| good	5.301 \| good	11.701 \| good	25.105 \| good	0.356 \| good	3.873 \| good	0.146 \| good
2026-10-11T09:00:00.000Z	27 \| good	4.826 \| good	11.524 \| good	27.039 \| good	0.307 \| good	3.07 \| good	0.141 \| good
2026-10-11T10:00:00.000Z	27 \| good	4.294 \| good	10.921 \| good	29.137 \| good	0.273 \| good	2.242 \| good	0.139 \| good
2026-10-11T11:00:00.000Z	30 \| good	4.033 \| good	10.155 \| good	31.543 \| good	0.247 \| good	1.868 \| good	0.141 \| good

Caerphilly

Empower business decisions with accurate air quality data

Caerphilly, Wales air quality map: Real-time AQI near you

0.36ppm

How accurate is Wales, UK air quality data?

Air quality measurements for Wales, 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.

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Frequently asked questions

How frequently is the air quality data for Caerphilly, Wales updated?

Air quality data for Caerphilly, Wales is updated on an hourly basis.

When did Caerphilly, Wales experience the worst air quality in the last 24 hours?

The worst air quality in Caerphilly, Wales was recorded at 09:00:00 on 2026-10-09.

When did Caerphilly, Wales have its best air quality in the last 24 hours?

The best air quality in Caerphilly, Wales was recorded at 06:00:00 on 2026-10-08.

What is the real-time air quality index for Caerphilly, Wales?

The real-time air quality index in Caerphilly, Wales is 27, currently categorized as Good.

Which pollutant is found most often in Caerphilly, Wales?

The most common pollutant in Caerphilly, Wales is O3.

What can I do if the air quality in Caerphilly, Wales is poor?

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

What are the current PM_2.5 levels in Caerphilly, Wales?

The measured PM_2.5 levels in Caerphilly, Wales at present are 2.31 μg/m³.

What are the current PM₁₀ levels at Caerphilly, Wales?

The current PM₁₀ levels in Caerphilly, Wales are 8.732 μg/m³.

What are the current carbon monoxide (CO) levels at Caerphilly, Wales?

The current carbon monoxide (CO) level in Caerphilly, Wales is 0.358 ppm.

What are the current sulfur dioxide (SO₂) levels at Caerphilly, Wales?

The current sulfur dioxide (SO₂) levels in Caerphilly, Wales are 0.391 ppb.

What are the current ozone (O₃) levels at Caerphilly, Wales?

The current ozone (O₃) levels at Caerphilly, Wales is 29.302 ppm.

What are the current nitrogen dioxide (NO₂) levels at Caerphilly, Wales?

The current nitrogen dioxide (NO₂) levels at Caerphilly, Wales is 2.075 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-10-07T15:00:00.000Z	23 \| good	2.812 \| good	10.896 \| good	24.911 \| good	0.479 \| good	4.224 \| good	0.174 \| good
2026-10-07T16:00:00.000Z	24 \| good	2.802 \| good	10.797 \| good	25.77 \| good	0.56 \| good	4.374 \| good	0.174 \| good
2026-10-07T17:00:00.000Z	24 \| good	2.622 \| good	9.771 \| good	26.441 \| good	0.557 \| good	6.633 \| good	0.268 \| good
2026-10-07T18:00:00.000Z	27 \| good	2.846 \| good	10.034 \| good	28.93 \| good	0.542 \| good	5.933 \| good	0.322 \| good
2026-10-07T19:00:00.000Z	28 \| good	2.879 \| good	10.043 \| good	29.869 \| good	0.399 \| good	7.606 \| good	0.551 \| good
2026-10-07T20:00:00.000Z	28 \| good	2.442 \| good	9.252 \| good	30.273 \| good	0.497 \| good	7.364 \| good	0.528 \| good
2026-10-07T21:00:00.000Z	30 \| good	2.455 \| good	9.264 \| good	31.529 \| good	0.496 \| good	5.251 \| good	0.526 \| good
2026-10-07T22:00:00.000Z	28 \| good	2.461 \| good	9.28 \| good	29.695 \| good	0.496 \| good	7.603 \| good	0.449 \| good
2026-10-07T23:00:00.000Z	29 \| good	2.418 \| good	9.12 \| good	30.613 \| good	0.564 \| good	6.095 \| good	0.443 \| good
2026-10-08T00:00:00.000Z	29 \| good	2.408 \| good	9.146 \| good	31.032 \| good	0.495 \| good	4.775 \| good	0.401 \| good
2026-10-08T01:00:00.000Z	28 \| good	2.392 \| good	8.985 \| good	30.303 \| good	0.496 \| good	4.126 \| good	0.36 \| good
2026-10-08T02:00:00.000Z	26 \| good	2.416 \| good	9.197 \| good	27.735 \| good	0.495 \| good	4.539 \| good	0.334 \| good
2026-10-08T03:00:00.000Z	26 \| good	2.462 \| good	9.352 \| good	27.569 \| good	0.559 \| good	3.912 \| good	0.319 \| good
2026-10-08T04:00:00.000Z	26 \| good	2.198 \| good	9.418 \| good	27.885 \| good	0.496 \| good	2.954 \| good	0.374 \| good
2026-10-08T05:00:00.000Z	23 \| good	2.039 \| good	8.479 \| good	25.444 \| good	0.492 \| good	2.675 \| good	0.34 \| good
2026-10-08T06:00:00.000Z	24 \| good	1.997 \| good	8.209 \| good	25.867 \| good	0.489 \| good	6.195 \| good	0.359 \| good
2026-10-08T07:00:00.000Z	22 \| good	1.955 \| good	8.324 \| good	24.45 \| good	0.485 \| good	11.081 \| good	0.373 \| good
2026-10-08T08:00:00.000Z	20 \| good	2.095 \| good	8.865 \| good	21.73 \| good	0.538 \| good	18.266 \| good	0.402 \| good
2026-10-08T09:00:00.000Z	19 \| good	2.196 \| good	8.897 \| good	21.077 \| good	0.563 \| good	15.458 \| good	0.355 \| good
2026-10-08T10:00:00.000Z	19 \| good	2.407 \| good	8.948 \| good	19.568 \| good	0.493 \| good	8.861 \| good	0.302 \| good
2026-10-08T11:00:00.000Z	20 \| good	2.628 \| good	9.754 \| good	22.099 \| good	0.567 \| good	3.483 \| good	0.278 \| good
2026-10-08T12:00:00.000Z	20 \| good	2.646 \| good	10.213 \| good	21.818 \| good	0.574 \| good	4.594 \| good	0.246 \| good
2026-10-08T13:00:00.000Z	22 \| good	2.663 \| good	9.975 \| good	23.641 \| good	0.511 \| good	4.072 \| good	0.237 \| good
2026-10-08T14:00:00.000Z	23 \| good	2.659 \| good	9.799 \| good	24.932 \| good	0.582 \| good	4.453 \| good	0.229 \| good
2026-10-08T15:00:00.000Z	22 \| good	2.645 \| good	9.827 \| good	24.492 \| good	0.583 \| good	3.314 \| good	0.224 \| good
2026-10-08T16:00:00.000Z	22 \| good	2.608 \| good	9.787 \| good	24.136 \| good	0.58 \| good	3.886 \| good	0.267 \| good
2026-10-08T17:00:00.000Z	23 \| good	2.654 \| good	9.522 \| good	24.711 \| good	0.572 \| good	4.017 \| good	0.284 \| good
2026-10-08T18:00:00.000Z	20 \| good	2.667 \| good	10.112 \| good	22.288 \| good	0.57 \| good	4.478 \| good	0.363 \| good
2026-10-08T19:00:00.000Z	22 \| good	2.663 \| good	9.959 \| good	24.048 \| good	0.575 \| good	4.125 \| good	0.347 \| good
2026-10-08T20:00:00.000Z	28 \| good	2.653 \| good	10.393 \| good	29.886 \| good	0.694 \| good	5.151 \| good	0.473 \| good
2026-10-08T21:00:00.000Z	25 \| good	2.674 \| good	10.432 \| good	27.333 \| good	0.995 \| good	3.64 \| good	0.491 \| good
2026-10-08T22:00:00.000Z	26 \| good	2.675 \| good	10.292 \| good	27.707 \| good	0.55 \| good	2.492 \| good	0.507 \| good
2026-10-08T23:00:00.000Z	28 \| good	2.447 \| good	9.439 \| good	30.036 \| good	0.544 \| good	1.792 \| good	0.469 \| good
2026-10-09T00:00:00.000Z	28 \| good	2.434 \| good	9.492 \| good	29.748 \| good	0.734 \| good	1.821 \| good	0.385 \| good
2026-10-09T01:00:00.000Z	27 \| good	2.445 \| good	9.586 \| good	29.384 \| good	0.579 \| good	1.262 \| good	0.372 \| good
2026-10-09T02:00:00.000Z	27 \| good	2.42 \| good	9.418 \| good	28.856 \| good	0.656 \| good	0.969 \| good	0.35 \| good
2026-10-09T03:00:00.000Z	27 \| good	2.284 \| good	8.78 \| good	28.927 \| good	0.652 \| good	1.736 \| good	0.27 \| good
2026-10-09T04:00:00.000Z	27 \| good	2.277 \| good	8.777 \| good	28.981 \| good	0.542 \| good	0.972 \| good	0.153 \| good
2026-10-09T05:00:00.000Z	27 \| good	2.459 \| good	9.67 \| good	29.277 \| good	0.597 \| good	1.095 \| good	0.24 \| good
2026-10-09T06:00:00.000Z	28 \| good	2.413 \| good	9.464 \| good	29.528 \| good	0.445 \| good	1.371 \| good	0.269 \| good
2026-10-09T07:00:00.000Z	28 \| good	2.242 \| good	8.738 \| good	29.655 \| good	0.53 \| good	1.607 \| good	0.333 \| good
2026-10-09T08:00:00.000Z	28 \| good	2.237 \| good	8.81 \| good	29.518 \| good	0.391 \| good	2.369 \| good	0.401 \| good
2026-10-09T09:00:00.000Z	31 \| good	4.543 \| good	10.207 \| good	33.621 \| good	0.206 \| good	1.445 \| good	0.12 \| good
2026-10-09T10:00:00.000Z	27 \| good	2.31 \| good	8.732 \| good	29.302 \| good	0.391 \| good	2.075 \| good	0.358 \| good
2026-10-09T11:00:00.000Z	27 \| good	2.317 \| good	8.748 \| good	29.322 \| good	0.546 \| good	1.531 \| good	0.248 \| good
2026-10-09T12:00:00.000Z	26 \| good	2.299 \| good	8.801 \| good	28.307 \| good	0.496 \| good	1.704 \| good	0.19 \| good
2026-10-09T13:00:00.000Z	27 \| good	2.255 \| good	8.161 \| good	28.523 \| good	0.557 \| good	2.224 \| good	0.172 \| good
2026-10-09T14:00:00.000Z	29 \| good	2.901 \| good	6.426 \| good	30.88 \| good	0.243 \| good	1.284 \| good	0.125 \| good
2026-10-09T14:00:00.000Z	27 \| good	2.255 \| good	8.161 \| good	28.523 \| good	0.557 \| good	2.224 \| good	0.172 \| good
2026-10-09T12:00:00.000Z	31 \| good	3.384 \| good	6.413 \| good	33.861 \| good	0.166 \| good	1.114 \| good	0.122 \| good
2026-10-09T13:00:00.000Z	31 \| good	3.587 \| good	6.945 \| good	32.769 \| good	0.208 \| good	1.184 \| good	0.126 \| good
2026-10-09T14:00:00.000Z	29 \| good	2.933 \| good	6.873 \| good	31.075 \| good	0.231 \| good	1.478 \| good	0.127 \| good
2026-10-09T15:00:00.000Z	30 \| good	2.929 \| good	7.246 \| good	32.02 \| good	0.264 \| good	1.442 \| good	0.128 \| good
2026-10-09T16:00:00.000Z	32 \| good	3.322 \| good	10.148 \| good	34.628 \| good	0.254 \| good	1.786 \| good	0.129 \| good
2026-10-09T17:00:00.000Z	31 \| good	3.942 \| good	9.218 \| good	33.141 \| good	0.306 \| good	2.319 \| good	0.136 \| good
2026-10-09T18:00:00.000Z	30 \| good	4.373 \| good	10.022 \| good	31.518 \| good	0.356 \| good	3.077 \| good	0.138 \| good
2026-10-09T19:00:00.000Z	27 \| good	4.624 \| good	8.653 \| good	29.275 \| good	0.382 \| good	3.207 \| good	0.141 \| good
2026-10-09T20:00:00.000Z	28 \| good	4.503 \| good	11.027 \| good	30.314 \| good	0.349 \| good	2.829 \| good	0.139 \| good
2026-10-09T21:00:00.000Z	28 \| good	4.376 \| good	8.81 \| good	30.087 \| good	0.323 \| good	2.577 \| good	0.141 \| good
2026-10-09T22:00:00.000Z	28 \| good	4.228 \| good	11.245 \| good	30.01 \| good	0.303 \| good	2.272 \| good	0.14 \| good
2026-10-09T23:00:00.000Z	29 \| good	3.858 \| good	8.025 \| good	31.005 \| good	0.265 \| good	1.995 \| good	0.14 \| good
2026-10-10T00:00:00.000Z	29 \| good	3.75 \| good	7.825 \| good	31.493 \| good	0.274 \| good	1.717 \| good	0.141 \| good
2026-10-10T01:00:00.000Z	30 \| good	3.656 \| good	8.184 \| good	31.824 \| good	0.224 \| good	1.49 \| good	0.138 \| good
2026-10-10T02:00:00.000Z	30 \| good	3.594 \| good	8.516 \| good	31.804 \| good	0.227 \| good	1.345 \| good	0.138 \| good
2026-10-10T03:00:00.000Z	29 \| good	3.546 \| good	8.547 \| good	31.075 \| good	0.226 \| good	1.358 \| good	0.137 \| good
2026-10-10T04:00:00.000Z	29 \| good	3.56 \| good	10.577 \| good	30.696 \| good	0.246 \| good	1.451 \| good	0.137 \| good
2026-10-10T05:00:00.000Z	28 \| good	3.675 \| good	8.97 \| good	30.349 \| good	0.233 \| good	1.616 \| good	0.138 \| good
2026-10-10T06:00:00.000Z	27 \| good	3.821 \| good	9.48 \| good	29.215 \| good	0.296 \| good	1.999 \| good	0.14 \| good
2026-10-10T07:00:00.000Z	27 \| good	3.836 \| good	9.165 \| good	29.31 \| good	0.346 \| good	2.417 \| good	0.146 \| good
2026-10-10T08:00:00.000Z	28 \| good	3.577 \| good	9.068 \| good	30.491 \| good	0.344 \| good	2.074 \| good	0.145 \| good
2026-10-10T09:00:00.000Z	31 \| good	3.301 \| good	9.006 \| good	32.536 \| good	0.289 \| good	1.395 \| good	0.141 \| good
2026-10-10T10:00:00.000Z	31 \| good	3.187 \| good	8.442 \| good	32.63 \| good	0.282 \| good	1.171 \| good	0.138 \| good
2026-10-10T11:00:00.000Z	31 \| good	3.095 \| good	8.278 \| good	33.758 \| good	0.233 \| good	1.045 \| good	0.135 \| good
2026-10-10T12:00:00.000Z	32 \| good	2.962 \| good	7.95 \| good	35.005 \| good	0.198 \| good	0.981 \| good	0.134 \| good
2026-10-10T13:00:00.000Z	32 \| good	3.027 \| good	8.473 \| good	35.26 \| good	0.2 \| good	0.958 \| good	0.134 \| good
2026-10-10T14:00:00.000Z	33 \| good	3.419 \| good	8.241 \| good	36.184 \| good	0.204 \| good	1.114 \| good	0.134 \| good
2026-10-10T15:00:00.000Z	33 \| good	3.392 \| good	9.142 \| good	35.692 \| good	0.198 \| good	1.257 \| good	0.134 \| good
2026-10-10T16:00:00.000Z	32 \| good	3.63 \| good	9.253 \| good	34.546 \| good	0.244 \| good	1.595 \| good	0.137 \| good
2026-10-10T17:00:00.000Z	31 \| good	4.103 \| good	10.232 \| good	33.428 \| good	0.301 \| good	2.093 \| good	0.141 \| good
2026-10-10T18:00:00.000Z	30 \| good	4.825 \| good	10.681 \| good	31.785 \| good	0.344 \| good	3.122 \| good	0.144 \| good
2026-10-10T19:00:00.000Z	28 \| good	5.25 \| good	10.305 \| good	30.227 \| good	0.402 \| good	3.834 \| good	0.142 \| good
2026-10-10T20:00:00.000Z	33 \| good	5.608 \| good	10.567 \| good	29.233 \| good	0.447 \| good	4.151 \| good	0.143 \| good
2026-10-10T21:00:00.000Z	33 \| good	5.561 \| good	10.836 \| good	28.571 \| good	0.449 \| good	3.355 \| good	0.147 \| good
2026-10-10T22:00:00.000Z	27 \| good	5.486 \| good	11.07 \| good	27.836 \| good	0.489 \| good	3.525 \| good	0.153 \| good
2026-10-10T23:00:00.000Z	27 \| good	5.285 \| good	10.49 \| good	27.263 \| good	0.455 \| good	3.616 \| good	0.152 \| good
2026-10-11T00:00:00.000Z	27 \| good	5.464 \| good	10.401 \| good	26.462 \| good	0.427 \| good	3.792 \| good	0.151 \| good
2026-10-11T01:00:00.000Z	27 \| good	5.146 \| good	11.226 \| good	25.875 \| good	0.377 \| good	3.674 \| good	0.15 \| good
2026-10-11T02:00:00.000Z	27 \| good	4.903 \| good	11.288 \| good	26.506 \| good	0.307 \| good	2.956 \| good	0.144 \| good
2026-10-11T03:00:00.000Z	27 \| good	5.061 \| good	10.543 \| good	26.969 \| good	0.311 \| good	2.864 \| good	0.14 \| good
2026-10-11T04:00:00.000Z	27 \| good	5.007 \| good	10.092 \| good	26.929 \| good	0.297 \| good	2.763 \| good	0.141 \| good
2026-10-11T05:00:00.000Z	27 \| good	4.813 \| good	10.32 \| good	26.55 \| good	0.257 \| good	2.768 \| good	0.141 \| good
2026-10-11T06:00:00.000Z	27 \| good	4.986 \| good	10.43 \| good	25.67 \| good	0.287 \| good	3.472 \| good	0.14 \| good
2026-10-11T07:00:00.000Z	27 \| good	5.208 \| good	11.064 \| good	24.768 \| good	0.403 \| good	4.055 \| good	0.146 \| good
2026-10-11T08:00:00.000Z	27 \| good	5.301 \| good	11.701 \| good	25.105 \| good	0.356 \| good	3.873 \| good	0.146 \| good
2026-10-11T09:00:00.000Z	27 \| good	4.826 \| good	11.524 \| good	27.039 \| good	0.307 \| good	3.07 \| good	0.141 \| good
2026-10-11T10:00:00.000Z	27 \| good	4.294 \| good	10.921 \| good	29.137 \| good	0.273 \| good	2.242 \| good	0.139 \| good
2026-10-11T11:00:00.000Z	30 \| good	4.033 \| good	10.155 \| good	31.543 \| good	0.247 \| good	1.868 \| good	0.141 \| good

Real-time air quality index in Caerphilly, Wales today

Common air pollutants in Caerphilly, Wales

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Caerphilly, Wales air quality forecast and history

Empower business decisions with accurate air quality data

Caerphilly, Wales air quality map: Real-time AQI near you

Air quality in nearby cities

Church Village, Wales

Risca, Wales

Pontypridd, Wales

Cardiff, Wales

Cwmbran, Wales

Newport, Wales

How accurate is Wales, UK air quality data?

Air quality levels in UK

Frequently asked questions

How frequently is the air quality data for Caerphilly, Wales updated?

When did Caerphilly, Wales experience the worst air quality in the last 24 hours?

When did Caerphilly, Wales have its best air quality in the last 24 hours?

What is the real-time air quality index for Caerphilly, Wales?

Which pollutant is found most often in Caerphilly, Wales?

What can I do if the air quality in Caerphilly, Wales is poor?

What are the current PM2.5 levels in Caerphilly, Wales?

What are the current PM10 levels at Caerphilly, Wales?

What are the current carbon monoxide (CO) levels at Caerphilly, Wales?

What are the current sulfur dioxide (SO2) levels at Caerphilly, Wales?

What are the current ozone (O3) levels at Caerphilly, Wales?

What are the current nitrogen dioxide (NO2) levels at Caerphilly, Wales?

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 Caerphilly, Wales?

What are the current PM₁₀ levels at Caerphilly, Wales?

What are the current sulfur dioxide (SO₂) levels at Caerphilly, Wales?

What are the current ozone (O₃) levels at Caerphilly, Wales?

What are the current nitrogen dioxide (NO₂) levels at Caerphilly, Wales?