What is the current concentration of PM10 in Waterlooville, Hampshire?

The current PM10 concentration at Waterlooville, Hampshire is 7.825 μg/m3.

What is the current concentration of sulfur dioxide (SO2) in Waterlooville, Hampshire?

The current sulfur dioxide (SO2) concentration at Waterlooville, Hampshire is 0.445 ppb.

What is the current concentration of ozone (O3) in Waterlooville, Hampshire?

The current ozone (O3) concentration at Waterlooville, Hampshire is 27.633 ppm.

What is the current concentration of nitrogen dioxide (NO2) in Waterlooville, Hampshire?

The current nitrogen dioxide (NO2) concentration at Waterlooville, Hampshire is 7.559 ppb.

Waterlooville, Hampshire live air quality index now

Q: What is the current concentration of PM2.5 in Waterlooville, Hampshire?

The current PM2.5 concentration at Waterlooville, Hampshire is 3.329 μg/m3.

Stay updated with real-time air quality in Waterlooville, Hampshire 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

Waterlooville, Hampshire

Last updated: ... (Local time)

Major air pollutants in Waterlooville, Hampshire

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

3.33 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

7.83 μg/m³

155

255

425

605+

Ozone (O₃)

27.63 ppb

201

201+

Sulfur Dioxide (SO₂)

0.45 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

7.56 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.31 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Waterlooville, Hampshire

Get Live Pollen Counts

Waterlooville, Hampshire

Scroll To Air Quality Map

Track live Waterlooville, Hampshire air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-09-26T23:00:00.000Z	22 \| good	3.756 \| good	12.017 \| good	21.729 \| good	0.553 \| good	10.903 \| good	0.297 \| good
2026-09-27T00:00:00.000Z	22 \| good	4.327 \| good	8.875 \| good	23.647 \| good	0.636 \| good	14.689 \| good	0.226 \| good
2026-09-27T01:00:00.000Z	27 \| good	4.753 \| good	14.348 \| good	22.99 \| good	0.625 \| good	9.475 \| good	0.229 \| good
2026-09-27T02:00:00.000Z	27 \| good	5.451 \| good	13.926 \| good	19.727 \| good	0.497 \| good	7.939 \| good	0.212 \| good
2026-09-27T03:00:00.000Z	33 \| good	6.099 \| good	15.775 \| good	16.069 \| good	0.543 \| good	7.526 \| good	0.217 \| good
2026-09-27T04:00:00.000Z	33 \| good	5.776 \| good	13.999 \| good	13.622 \| good	0.537 \| good	5.861 \| good	0.205 \| good
2026-09-27T05:00:00.000Z	33 \| good	5.934 \| good	10.133 \| good	15.779 \| good	0.568 \| good	5.091 \| good	0.028 \| good
2026-09-27T06:00:00.000Z	27 \| good	5.129 \| good	10.488 \| good	19.651 \| good	0.567 \| good	4.96 \| good	0.026 \| good
2026-09-27T07:00:00.000Z	33 \| good	5.554 \| good	9.668 \| good	12.676 \| good	0.57 \| good	5.249 \| good	0.027 \| good
2026-09-27T08:00:00.000Z	33 \| good	5.518 \| good	17.632 \| good	15.011 \| good	0.484 \| good	8.881 \| good	0.028 \| good
2026-09-27T09:00:00.000Z	33 \| good	6.057 \| good	11.504 \| good	17.442 \| good	0.485 \| good	8.886 \| good	0.027 \| good
2026-09-27T10:00:00.000Z	33 \| good	5.802 \| good	11.234 \| good	21.118 \| good	0.484 \| good	7.124 \| good	0.033 \| good
2026-09-27T11:00:00.000Z	33 \| good	6.162 \| good	11.347 \| good	21.912 \| good	0.539 \| good	5.25 \| good	0.027 \| good
2026-09-27T12:00:00.000Z	33 \| good	6.17 \| good	15.658 \| good	20.703 \| good	0.479 \| good	6.711 \| good	0.025 \| good
2026-09-27T13:00:00.000Z	33 \| good	6.095 \| good	17.51 \| good	22.559 \| good	0.477 \| good	7.162 \| good	0.024 \| good
2026-09-27T14:00:00.000Z	38 \| good	6.538 \| good	13.135 \| good	24.031 \| good	0.523 \| good	8.569 \| good	0.024 \| good
2026-09-27T15:00:00.000Z	38 \| good	6.695 \| good	13.397 \| good	24.496 \| good	0.624 \| good	8.079 \| good	0.026 \| good
2026-09-27T16:00:00.000Z	33 \| good	6.385 \| good	15.879 \| good	23.269 \| good	0.476 \| good	8.168 \| good	0.025 \| good
2026-09-27T17:00:00.000Z	38 \| good	7.083 \| good	12.001 \| good	23.619 \| good	0.628 \| good	8.461 \| good	0.025 \| good
2026-09-27T18:00:00.000Z	33 \| good	6.466 \| good	12.862 \| good	26.365 \| good	0.573 \| good	8.406 \| good	0.03 \| good
2026-09-27T19:00:00.000Z	38 \| good	6.773 \| good	14.311 \| good	32.551 \| good	0.47 \| good	11.415 \| good	0.035 \| good
2026-09-27T20:00:00.000Z	38 \| good	7.257 \| good	14.013 \| good	29.878 \| good	0.531 \| good	8.285 \| good	0.04 \| good
2026-09-27T21:00:00.000Z	38 \| good	6.822 \| good	12.492 \| good	28.966 \| good	0.553 \| good	8.601 \| good	0.049 \| good
2026-09-27T22:00:00.000Z	38 \| good	6.72 \| good	18.259 \| good	28.222 \| good	0.483 \| good	8.897 \| good	0.041 \| good
2026-09-27T23:00:00.000Z	38 \| good	6.871 \| good	13.791 \| good	24.746 \| good	0.53 \| good	8.437 \| good	0.045 \| good
2026-09-28T00:00:00.000Z	33 \| good	6.279 \| good	12.107 \| good	29.732 \| good	0.54 \| good	9.343 \| good	0.255 \| good
2026-09-28T01:00:00.000Z	33 \| good	6.231 \| good	14.449 \| good	30.481 \| good	0.54 \| good	6.556 \| good	0.18 \| good
2026-09-28T02:00:00.000Z	33 \| good	5.621 \| good	12.331 \| good	28.553 \| good	0.489 \| good	3.122 \| good	0.226 \| good
2026-09-28T03:00:00.000Z	33 \| good	5.631 \| good	14.12 \| good	29.9 \| good	0.538 \| good	2.777 \| good	0.214 \| good
2026-09-28T04:00:00.000Z	27 \| good	5.433 \| good	14.42 \| good	27.225 \| good	0.538 \| good	1.94 \| good	0.217 \| good
2026-09-28T05:00:00.000Z	29 \| good	4.33 \| good	11.513 \| good	30.885 \| good	0.56 \| good	3.94 \| good	0.196 \| good
2026-09-28T06:00:00.000Z	27 \| good	4.236 \| good	14.498 \| good	28.901 \| good	0.49 \| good	5.186 \| good	0.21 \| good
2026-09-28T07:00:00.000Z	27 \| good	4.903 \| good	17.052 \| good	26.82 \| good	0.581 \| good	6.741 \| good	0.279 \| good
2026-09-28T08:00:00.000Z	27 \| good	4.943 \| good	17.563 \| good	24.471 \| good	0.621 \| good	8.166 \| good	0.264 \| good
2026-09-28T09:00:00.000Z	22 \| good	4.293 \| good	13.058 \| good	22.459 \| good	0.691 \| good	8.381 \| good	0.235 \| good
2026-09-28T10:00:00.000Z	22 \| good	4.389 \| good	9.993 \| good	17.434 \| good	0.489 \| good	9.514 \| good	0.221 \| good
2026-09-28T11:00:00.000Z	22 \| good	4.424 \| good	9.046 \| good	19.612 \| good	0.465 \| good	7.733 \| good	0.212 \| good
2026-09-28T12:00:00.000Z	22 \| good	3.933 \| good	9.426 \| good	20.47 \| good	0.515 \| good	5.143 \| good	0.188 \| good
2026-09-28T13:00:00.000Z	22 \| good	4.044 \| good	9.053 \| good	21.959 \| good	0.513 \| good	4.974 \| good	0.165 \| good
2026-09-28T14:00:00.000Z	22 \| good	3.91 \| good	8.784 \| good	19.081 \| good	0.517 \| good	5.197 \| good	0.162 \| good
2026-09-28T15:00:00.000Z	22 \| good	4.127 \| good	9.042 \| good	20.891 \| good	0.516 \| good	4.574 \| good	0.156 \| good
2026-09-28T16:00:00.000Z	22 \| good	4.173 \| good	8.576 \| good	20.813 \| good	0.464 \| good	7.857 \| good	0.153 \| good
2026-09-28T17:00:00.000Z	27 \| good	4.8 \| good	13.987 \| good	25.718 \| good	0.628 \| good	6.562 \| good	0.169 \| good
2026-09-28T18:00:00.000Z	27 \| good	4.122 \| good	8.012 \| good	28.576 \| good	0.605 \| good	5.472 \| good	0.216 \| good
2026-09-28T19:00:00.000Z	27 \| good	3.261 \| good	7.879 \| good	28.52 \| good	0.498 \| good	10.604 \| good	0.253 \| good
2026-09-28T20:00:00.000Z	26 \| good	3.604 \| good	9.996 \| good	27.502 \| good	0.463 \| good	8.745 \| good	0.324 \| good
2026-09-28T21:00:00.000Z	25 \| good	3.546 \| good	15.051 \| good	26.929 \| good	0.46 \| good	6.741 \| good	0.312 \| good
2026-09-28T22:00:00.000Z	25 \| good	3.233 \| good	7.794 \| good	26.529 \| good	0.488 \| good	7.239 \| good	0.352 \| good
2026-09-28T22:00:00.000Z	26 \| good	3.329 \| good	7.825 \| good	27.633 \| good	0.445 \| good	7.559 \| good	0.312 \| good
2026-09-28T23:00:00.000Z	27 \| good	4.846 \| good	6.797 \| good	22.281 \| good	0.191 \| good	5.058 \| good	0.14 \| good
2026-09-29T00:00:00.000Z	33 \| good	5.535 \| good	7.13 \| good	22.077 \| good	0.177 \| good	4.765 \| good	0.135 \| good
2026-09-29T01:00:00.000Z	33 \| good	6.187 \| good	7.751 \| good	22.065 \| good	0.19 \| good	4.368 \| good	0.135 \| good
2026-09-29T02:00:00.000Z	33 \| good	6.267 \| good	7.706 \| good	23.354 \| good	0.177 \| good	4.013 \| good	0.129 \| good
2026-09-29T03:00:00.000Z	27 \| good	5.28 \| good	8.225 \| good	25.153 \| good	0.174 \| good	3.555 \| good	0.127 \| good
2026-09-29T04:00:00.000Z	27 \| good	5.223 \| good	7.693 \| good	25.05 \| good	0.173 \| good	3.351 \| good	0.131 \| good
2026-09-29T05:00:00.000Z	33 \| good	5.537 \| good	7.058 \| good	24.114 \| good	0.179 \| good	3.445 \| good	0.136 \| good
2026-09-29T06:00:00.000Z	33 \| good	6.415 \| good	7.916 \| good	23.816 \| good	0.198 \| good	3.924 \| good	0.139 \| good
2026-09-29T07:00:00.000Z	33 \| good	6.173 \| good	9.02 \| good	21.924 \| good	0.239 \| good	4.925 \| good	0.144 \| good
2026-09-29T08:00:00.000Z	49 \| good	8.548 \| good	11.499 \| good	22.434 \| good	0.294 \| good	4.921 \| good	0.146 \| good
2026-09-29T09:00:00.000Z	52 \| moderate	9.85 \| good	12.996 \| good	22.488 \| good	0.277 \| good	4.869 \| good	0.149 \| good
2026-09-29T10:00:00.000Z	54 \| moderate	11.35 \| good	14.794 \| good	25.22 \| good	0.282 \| good	4.699 \| good	0.151 \| good
2026-09-29T11:00:00.000Z	54 \| moderate	10.972 \| good	16.64 \| good	26.56 \| good	0.251 \| good	4.139 \| good	0.152 \| good
2026-09-29T12:00:00.000Z	56 \| moderate	11.676 \| good	15.75 \| good	33.53 \| good	0.219 \| good	3.677 \| good	0.151 \| good
2026-09-29T13:00:00.000Z	52 \| moderate	10.098 \| good	14.197 \| good	39.127 \| good	0.226 \| good	2.802 \| good	0.149 \| good
2026-09-29T14:00:00.000Z	49 \| good	8.625 \| good	14.214 \| good	42.049 \| good	0.197 \| good	2.443 \| good	0.142 \| good
2026-09-29T15:00:00.000Z	44 \| good	7.829 \| good	12.668 \| good	42.368 \| good	0.167 \| good	3.212 \| good	0.139 \| good
2026-09-29T16:00:00.000Z	44 \| good	8.353 \| good	12.563 \| good	41.679 \| good	0.185 \| good	2.977 \| good	0.142 \| good
2026-09-29T17:00:00.000Z	52 \| moderate	9.632 \| good	14.836 \| good	40.187 \| good	0.256 \| good	4.026 \| good	0.139 \| good
2026-09-29T18:00:00.000Z	49 \| good	9.334 \| good	14.115 \| good	39.482 \| good	0.275 \| good	4.479 \| good	0.142 \| good
2026-09-29T19:00:00.000Z	49 \| good	8.518 \| good	13.367 \| good	39.391 \| good	0.221 \| good	4.333 \| good	0.141 \| good
2026-09-29T20:00:00.000Z	38 \| good	6.588 \| good	11.892 \| good	39.947 \| good	0.223 \| good	3.65 \| good	0.13 \| good
2026-09-29T21:00:00.000Z	35 \| good	6.446 \| good	10.007 \| good	37.98 \| good	0.201 \| good	3.647 \| good	0.13 \| good
2026-09-29T22:00:00.000Z	33 \| good	5.607 \| good	10.716 \| good	34.15 \| good	0.229 \| good	3.711 \| good	0.126 \| good
2026-09-29T23:00:00.000Z	31 \| good	4.958 \| good	11.789 \| good	32.987 \| good	0.212 \| good	3.878 \| good	0.124 \| good
2026-09-30T00:00:00.000Z	31 \| good	5.04 \| good	11.961 \| good	33.046 \| good	0.122 \| good	3.477 \| good	0.124 \| good
2026-09-30T01:00:00.000Z	31 \| good	5.028 \| good	12.423 \| good	33.651 \| good	0.105 \| good	3.208 \| good	0.123 \| good
2026-09-30T02:00:00.000Z	31 \| good	5.031 \| good	12.231 \| good	34.324 \| good	0.107 \| good	3.205 \| good	0.123 \| good
2026-09-30T03:00:00.000Z	31 \| good	5.086 \| good	12.023 \| good	33.34 \| good	0.115 \| good	3.036 \| good	0.123 \| good
2026-09-30T04:00:00.000Z	31 \| good	4.802 \| good	10.121 \| good	33.727 \| good	0.108 \| good	3.003 \| good	0.121 \| good
2026-09-30T05:00:00.000Z	31 \| good	5.231 \| good	11.945 \| good	33.872 \| good	0.104 \| good	3.102 \| good	0.121 \| good
2026-09-30T06:00:00.000Z	33 \| good	5.59 \| good	11.794 \| good	33.242 \| good	0.101 \| good	3.221 \| good	0.12 \| good
2026-09-30T07:00:00.000Z	30 \| good	5.363 \| good	10.179 \| good	32.476 \| good	0.091 \| good	3.21 \| good	0.12 \| good
2026-09-30T08:00:00.000Z	29 \| good	5.433 \| good	7.803 \| good	30.861 \| good	0.098 \| good	3.359 \| good	0.119 \| good
2026-09-30T09:00:00.000Z	27 \| good	4.947 \| good	7.191 \| good	28.989 \| good	0.088 \| good	3.501 \| good	0.118 \| good
2026-09-30T10:00:00.000Z	33 \| good	6.322 \| good	9.209 \| good	27.989 \| good	0.109 \| good	3.11 \| good	0.114 \| good
2026-09-30T11:00:00.000Z	29 \| good	5.387 \| good	9.016 \| good	31.237 \| good	0.114 \| good	2.425 \| good	0.112 \| good
2026-09-30T12:00:00.000Z	31 \| good	5.252 \| good	8.255 \| good	32.653 \| good	0.124 \| good	2.137 \| good	0.108 \| good
2026-09-30T13:00:00.000Z	31 \| good	5.471 \| good	10.267 \| good	32.725 \| good	0.122 \| good	2.342 \| good	0.105 \| good
2026-09-30T14:00:00.000Z	33 \| good	5.568 \| good	11.094 \| good	31.649 \| good	0.122 \| good	2.94 \| good	0.106 \| good
2026-09-30T15:00:00.000Z	29 \| good	5.359 \| good	11.882 \| good	31.32 \| good	0.129 \| good	3.383 \| good	0.109 \| good
2026-09-30T16:00:00.000Z	30 \| good	5.224 \| good	12.711 \| good	31.777 \| good	0.147 \| good	3.743 \| good	0.114 \| good
2026-09-30T17:00:00.000Z	29 \| good	5.101 \| good	13.065 \| good	31.079 \| good	0.187 \| good	4.878 \| good	0.119 \| good
2026-09-30T18:00:00.000Z	28 \| good	5.139 \| good	13.261 \| good	29.841 \| good	0.221 \| good	5.928 \| good	0.123 \| good
2026-09-30T19:00:00.000Z	27 \| good	5.472 \| good	13.545 \| good	27.771 \| good	0.206 \| good	6.496 \| good	0.122 \| good
2026-09-30T20:00:00.000Z	33 \| good	5.725 \| good	13.763 \| good	28.155 \| good	0.224 \| good	6.9 \| good	0.124 \| good
2026-09-30T21:00:00.000Z	33 \| good	5.983 \| good	12.567 \| good	26.772 \| good	0.24 \| good	7.445 \| good	0.128 \| good
2026-09-30T22:00:00.000Z	33 \| good	5.735 \| good	12.724 \| good	26.656 \| good	0.267 \| good	7.56 \| good	0.13 \| good

Waterlooville

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Waterlooville, Hampshire air quality map: Track AQI near you

0.31ppm

How accurate is Hampshire, UK air quality data?

Air quality data and pollutant measurements for Hampshire, 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 Waterlooville, Hampshire updated?

The air quality for Waterlooville, Hampshire is updated every hour.

When was the worst air quality at Waterlooville, Hampshire in the last 24 hrs?

The worst air quality in Waterlooville, Hampshire in the last 24 hours was observed at 11:00:00 on 2026-09-27.

When was the best air quality at Waterlooville, Hampshire in the last 24 hrs?

In the last 24 hrs, the best air quality in Waterlooville, Hampshire was observed at 04:00:00 on 2026-09-28.

What is the current air quality in Waterlooville, Hampshire?

The current air quality in Waterlooville, Hampshire is 26, categorized as Good based on real-time data.

What pollutant is the most common in Waterlooville, Hampshire?

The most common pollutant in Waterlooville, Hampshire is O3.

What should I do if the air quality in Waterlooville, Hampshire is poor?

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

What is the current concentration of PM_2.5 in Waterlooville, Hampshire?

The current PM_2.5 concentration at Waterlooville, Hampshire is 3.329 μg/m³.

What is the current concentration of PM₁₀ in Waterlooville, Hampshire?

The current PM₁₀ concentration at Waterlooville, Hampshire is 7.825 μg/m³.

What is the current concentration of carbon monoxide (CO) in Waterlooville, Hampshire?

The current carbon monoxide (CO) concentration at Waterlooville, Hampshire is 0.312 ppm.

What is the current concentration of sulfur dioxide (SO₂) in Waterlooville, Hampshire?

The current sulfur dioxide (SO₂) concentration at Waterlooville, Hampshire is 0.445 ppb.

What is the current concentration of ozone (O₃) in Waterlooville, Hampshire?

The current ozone (O₃) concentration at Waterlooville, Hampshire is 27.633 ppm.

What is the current concentration of nitrogen dioxide (NO₂) in Waterlooville, Hampshire?

The current nitrogen dioxide (NO₂) concentration at Waterlooville, Hampshire is 7.559 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-09-26T23:00:00.000Z	22 \| good	3.756 \| good	12.017 \| good	21.729 \| good	0.553 \| good	10.903 \| good	0.297 \| good
2026-09-27T00:00:00.000Z	22 \| good	4.327 \| good	8.875 \| good	23.647 \| good	0.636 \| good	14.689 \| good	0.226 \| good
2026-09-27T01:00:00.000Z	27 \| good	4.753 \| good	14.348 \| good	22.99 \| good	0.625 \| good	9.475 \| good	0.229 \| good
2026-09-27T02:00:00.000Z	27 \| good	5.451 \| good	13.926 \| good	19.727 \| good	0.497 \| good	7.939 \| good	0.212 \| good
2026-09-27T03:00:00.000Z	33 \| good	6.099 \| good	15.775 \| good	16.069 \| good	0.543 \| good	7.526 \| good	0.217 \| good
2026-09-27T04:00:00.000Z	33 \| good	5.776 \| good	13.999 \| good	13.622 \| good	0.537 \| good	5.861 \| good	0.205 \| good
2026-09-27T05:00:00.000Z	33 \| good	5.934 \| good	10.133 \| good	15.779 \| good	0.568 \| good	5.091 \| good	0.028 \| good
2026-09-27T06:00:00.000Z	27 \| good	5.129 \| good	10.488 \| good	19.651 \| good	0.567 \| good	4.96 \| good	0.026 \| good
2026-09-27T07:00:00.000Z	33 \| good	5.554 \| good	9.668 \| good	12.676 \| good	0.57 \| good	5.249 \| good	0.027 \| good
2026-09-27T08:00:00.000Z	33 \| good	5.518 \| good	17.632 \| good	15.011 \| good	0.484 \| good	8.881 \| good	0.028 \| good
2026-09-27T09:00:00.000Z	33 \| good	6.057 \| good	11.504 \| good	17.442 \| good	0.485 \| good	8.886 \| good	0.027 \| good
2026-09-27T10:00:00.000Z	33 \| good	5.802 \| good	11.234 \| good	21.118 \| good	0.484 \| good	7.124 \| good	0.033 \| good
2026-09-27T11:00:00.000Z	33 \| good	6.162 \| good	11.347 \| good	21.912 \| good	0.539 \| good	5.25 \| good	0.027 \| good
2026-09-27T12:00:00.000Z	33 \| good	6.17 \| good	15.658 \| good	20.703 \| good	0.479 \| good	6.711 \| good	0.025 \| good
2026-09-27T13:00:00.000Z	33 \| good	6.095 \| good	17.51 \| good	22.559 \| good	0.477 \| good	7.162 \| good	0.024 \| good
2026-09-27T14:00:00.000Z	38 \| good	6.538 \| good	13.135 \| good	24.031 \| good	0.523 \| good	8.569 \| good	0.024 \| good
2026-09-27T15:00:00.000Z	38 \| good	6.695 \| good	13.397 \| good	24.496 \| good	0.624 \| good	8.079 \| good	0.026 \| good
2026-09-27T16:00:00.000Z	33 \| good	6.385 \| good	15.879 \| good	23.269 \| good	0.476 \| good	8.168 \| good	0.025 \| good
2026-09-27T17:00:00.000Z	38 \| good	7.083 \| good	12.001 \| good	23.619 \| good	0.628 \| good	8.461 \| good	0.025 \| good
2026-09-27T18:00:00.000Z	33 \| good	6.466 \| good	12.862 \| good	26.365 \| good	0.573 \| good	8.406 \| good	0.03 \| good
2026-09-27T19:00:00.000Z	38 \| good	6.773 \| good	14.311 \| good	32.551 \| good	0.47 \| good	11.415 \| good	0.035 \| good
2026-09-27T20:00:00.000Z	38 \| good	7.257 \| good	14.013 \| good	29.878 \| good	0.531 \| good	8.285 \| good	0.04 \| good
2026-09-27T21:00:00.000Z	38 \| good	6.822 \| good	12.492 \| good	28.966 \| good	0.553 \| good	8.601 \| good	0.049 \| good
2026-09-27T22:00:00.000Z	38 \| good	6.72 \| good	18.259 \| good	28.222 \| good	0.483 \| good	8.897 \| good	0.041 \| good
2026-09-27T23:00:00.000Z	38 \| good	6.871 \| good	13.791 \| good	24.746 \| good	0.53 \| good	8.437 \| good	0.045 \| good
2026-09-28T00:00:00.000Z	33 \| good	6.279 \| good	12.107 \| good	29.732 \| good	0.54 \| good	9.343 \| good	0.255 \| good
2026-09-28T01:00:00.000Z	33 \| good	6.231 \| good	14.449 \| good	30.481 \| good	0.54 \| good	6.556 \| good	0.18 \| good
2026-09-28T02:00:00.000Z	33 \| good	5.621 \| good	12.331 \| good	28.553 \| good	0.489 \| good	3.122 \| good	0.226 \| good
2026-09-28T03:00:00.000Z	33 \| good	5.631 \| good	14.12 \| good	29.9 \| good	0.538 \| good	2.777 \| good	0.214 \| good
2026-09-28T04:00:00.000Z	27 \| good	5.433 \| good	14.42 \| good	27.225 \| good	0.538 \| good	1.94 \| good	0.217 \| good
2026-09-28T05:00:00.000Z	29 \| good	4.33 \| good	11.513 \| good	30.885 \| good	0.56 \| good	3.94 \| good	0.196 \| good
2026-09-28T06:00:00.000Z	27 \| good	4.236 \| good	14.498 \| good	28.901 \| good	0.49 \| good	5.186 \| good	0.21 \| good
2026-09-28T07:00:00.000Z	27 \| good	4.903 \| good	17.052 \| good	26.82 \| good	0.581 \| good	6.741 \| good	0.279 \| good
2026-09-28T08:00:00.000Z	27 \| good	4.943 \| good	17.563 \| good	24.471 \| good	0.621 \| good	8.166 \| good	0.264 \| good
2026-09-28T09:00:00.000Z	22 \| good	4.293 \| good	13.058 \| good	22.459 \| good	0.691 \| good	8.381 \| good	0.235 \| good
2026-09-28T10:00:00.000Z	22 \| good	4.389 \| good	9.993 \| good	17.434 \| good	0.489 \| good	9.514 \| good	0.221 \| good
2026-09-28T11:00:00.000Z	22 \| good	4.424 \| good	9.046 \| good	19.612 \| good	0.465 \| good	7.733 \| good	0.212 \| good
2026-09-28T12:00:00.000Z	22 \| good	3.933 \| good	9.426 \| good	20.47 \| good	0.515 \| good	5.143 \| good	0.188 \| good
2026-09-28T13:00:00.000Z	22 \| good	4.044 \| good	9.053 \| good	21.959 \| good	0.513 \| good	4.974 \| good	0.165 \| good
2026-09-28T14:00:00.000Z	22 \| good	3.91 \| good	8.784 \| good	19.081 \| good	0.517 \| good	5.197 \| good	0.162 \| good
2026-09-28T15:00:00.000Z	22 \| good	4.127 \| good	9.042 \| good	20.891 \| good	0.516 \| good	4.574 \| good	0.156 \| good
2026-09-28T16:00:00.000Z	22 \| good	4.173 \| good	8.576 \| good	20.813 \| good	0.464 \| good	7.857 \| good	0.153 \| good
2026-09-28T17:00:00.000Z	27 \| good	4.8 \| good	13.987 \| good	25.718 \| good	0.628 \| good	6.562 \| good	0.169 \| good
2026-09-28T18:00:00.000Z	27 \| good	4.122 \| good	8.012 \| good	28.576 \| good	0.605 \| good	5.472 \| good	0.216 \| good
2026-09-28T19:00:00.000Z	27 \| good	3.261 \| good	7.879 \| good	28.52 \| good	0.498 \| good	10.604 \| good	0.253 \| good
2026-09-28T20:00:00.000Z	26 \| good	3.604 \| good	9.996 \| good	27.502 \| good	0.463 \| good	8.745 \| good	0.324 \| good
2026-09-28T21:00:00.000Z	25 \| good	3.546 \| good	15.051 \| good	26.929 \| good	0.46 \| good	6.741 \| good	0.312 \| good
2026-09-28T22:00:00.000Z	25 \| good	3.233 \| good	7.794 \| good	26.529 \| good	0.488 \| good	7.239 \| good	0.352 \| good
2026-09-28T22:00:00.000Z	26 \| good	3.329 \| good	7.825 \| good	27.633 \| good	0.445 \| good	7.559 \| good	0.312 \| good
2026-09-28T23:00:00.000Z	27 \| good	4.846 \| good	6.797 \| good	22.281 \| good	0.191 \| good	5.058 \| good	0.14 \| good
2026-09-29T00:00:00.000Z	33 \| good	5.535 \| good	7.13 \| good	22.077 \| good	0.177 \| good	4.765 \| good	0.135 \| good
2026-09-29T01:00:00.000Z	33 \| good	6.187 \| good	7.751 \| good	22.065 \| good	0.19 \| good	4.368 \| good	0.135 \| good
2026-09-29T02:00:00.000Z	33 \| good	6.267 \| good	7.706 \| good	23.354 \| good	0.177 \| good	4.013 \| good	0.129 \| good
2026-09-29T03:00:00.000Z	27 \| good	5.28 \| good	8.225 \| good	25.153 \| good	0.174 \| good	3.555 \| good	0.127 \| good
2026-09-29T04:00:00.000Z	27 \| good	5.223 \| good	7.693 \| good	25.05 \| good	0.173 \| good	3.351 \| good	0.131 \| good
2026-09-29T05:00:00.000Z	33 \| good	5.537 \| good	7.058 \| good	24.114 \| good	0.179 \| good	3.445 \| good	0.136 \| good
2026-09-29T06:00:00.000Z	33 \| good	6.415 \| good	7.916 \| good	23.816 \| good	0.198 \| good	3.924 \| good	0.139 \| good
2026-09-29T07:00:00.000Z	33 \| good	6.173 \| good	9.02 \| good	21.924 \| good	0.239 \| good	4.925 \| good	0.144 \| good
2026-09-29T08:00:00.000Z	49 \| good	8.548 \| good	11.499 \| good	22.434 \| good	0.294 \| good	4.921 \| good	0.146 \| good
2026-09-29T09:00:00.000Z	52 \| moderate	9.85 \| good	12.996 \| good	22.488 \| good	0.277 \| good	4.869 \| good	0.149 \| good
2026-09-29T10:00:00.000Z	54 \| moderate	11.35 \| good	14.794 \| good	25.22 \| good	0.282 \| good	4.699 \| good	0.151 \| good
2026-09-29T11:00:00.000Z	54 \| moderate	10.972 \| good	16.64 \| good	26.56 \| good	0.251 \| good	4.139 \| good	0.152 \| good
2026-09-29T12:00:00.000Z	56 \| moderate	11.676 \| good	15.75 \| good	33.53 \| good	0.219 \| good	3.677 \| good	0.151 \| good
2026-09-29T13:00:00.000Z	52 \| moderate	10.098 \| good	14.197 \| good	39.127 \| good	0.226 \| good	2.802 \| good	0.149 \| good
2026-09-29T14:00:00.000Z	49 \| good	8.625 \| good	14.214 \| good	42.049 \| good	0.197 \| good	2.443 \| good	0.142 \| good
2026-09-29T15:00:00.000Z	44 \| good	7.829 \| good	12.668 \| good	42.368 \| good	0.167 \| good	3.212 \| good	0.139 \| good
2026-09-29T16:00:00.000Z	44 \| good	8.353 \| good	12.563 \| good	41.679 \| good	0.185 \| good	2.977 \| good	0.142 \| good
2026-09-29T17:00:00.000Z	52 \| moderate	9.632 \| good	14.836 \| good	40.187 \| good	0.256 \| good	4.026 \| good	0.139 \| good
2026-09-29T18:00:00.000Z	49 \| good	9.334 \| good	14.115 \| good	39.482 \| good	0.275 \| good	4.479 \| good	0.142 \| good
2026-09-29T19:00:00.000Z	49 \| good	8.518 \| good	13.367 \| good	39.391 \| good	0.221 \| good	4.333 \| good	0.141 \| good
2026-09-29T20:00:00.000Z	38 \| good	6.588 \| good	11.892 \| good	39.947 \| good	0.223 \| good	3.65 \| good	0.13 \| good
2026-09-29T21:00:00.000Z	35 \| good	6.446 \| good	10.007 \| good	37.98 \| good	0.201 \| good	3.647 \| good	0.13 \| good
2026-09-29T22:00:00.000Z	33 \| good	5.607 \| good	10.716 \| good	34.15 \| good	0.229 \| good	3.711 \| good	0.126 \| good
2026-09-29T23:00:00.000Z	31 \| good	4.958 \| good	11.789 \| good	32.987 \| good	0.212 \| good	3.878 \| good	0.124 \| good
2026-09-30T00:00:00.000Z	31 \| good	5.04 \| good	11.961 \| good	33.046 \| good	0.122 \| good	3.477 \| good	0.124 \| good
2026-09-30T01:00:00.000Z	31 \| good	5.028 \| good	12.423 \| good	33.651 \| good	0.105 \| good	3.208 \| good	0.123 \| good
2026-09-30T02:00:00.000Z	31 \| good	5.031 \| good	12.231 \| good	34.324 \| good	0.107 \| good	3.205 \| good	0.123 \| good
2026-09-30T03:00:00.000Z	31 \| good	5.086 \| good	12.023 \| good	33.34 \| good	0.115 \| good	3.036 \| good	0.123 \| good
2026-09-30T04:00:00.000Z	31 \| good	4.802 \| good	10.121 \| good	33.727 \| good	0.108 \| good	3.003 \| good	0.121 \| good
2026-09-30T05:00:00.000Z	31 \| good	5.231 \| good	11.945 \| good	33.872 \| good	0.104 \| good	3.102 \| good	0.121 \| good
2026-09-30T06:00:00.000Z	33 \| good	5.59 \| good	11.794 \| good	33.242 \| good	0.101 \| good	3.221 \| good	0.12 \| good
2026-09-30T07:00:00.000Z	30 \| good	5.363 \| good	10.179 \| good	32.476 \| good	0.091 \| good	3.21 \| good	0.12 \| good
2026-09-30T08:00:00.000Z	29 \| good	5.433 \| good	7.803 \| good	30.861 \| good	0.098 \| good	3.359 \| good	0.119 \| good
2026-09-30T09:00:00.000Z	27 \| good	4.947 \| good	7.191 \| good	28.989 \| good	0.088 \| good	3.501 \| good	0.118 \| good
2026-09-30T10:00:00.000Z	33 \| good	6.322 \| good	9.209 \| good	27.989 \| good	0.109 \| good	3.11 \| good	0.114 \| good
2026-09-30T11:00:00.000Z	29 \| good	5.387 \| good	9.016 \| good	31.237 \| good	0.114 \| good	2.425 \| good	0.112 \| good
2026-09-30T12:00:00.000Z	31 \| good	5.252 \| good	8.255 \| good	32.653 \| good	0.124 \| good	2.137 \| good	0.108 \| good
2026-09-30T13:00:00.000Z	31 \| good	5.471 \| good	10.267 \| good	32.725 \| good	0.122 \| good	2.342 \| good	0.105 \| good
2026-09-30T14:00:00.000Z	33 \| good	5.568 \| good	11.094 \| good	31.649 \| good	0.122 \| good	2.94 \| good	0.106 \| good
2026-09-30T15:00:00.000Z	29 \| good	5.359 \| good	11.882 \| good	31.32 \| good	0.129 \| good	3.383 \| good	0.109 \| good
2026-09-30T16:00:00.000Z	30 \| good	5.224 \| good	12.711 \| good	31.777 \| good	0.147 \| good	3.743 \| good	0.114 \| good
2026-09-30T17:00:00.000Z	29 \| good	5.101 \| good	13.065 \| good	31.079 \| good	0.187 \| good	4.878 \| good	0.119 \| good
2026-09-30T18:00:00.000Z	28 \| good	5.139 \| good	13.261 \| good	29.841 \| good	0.221 \| good	5.928 \| good	0.123 \| good
2026-09-30T19:00:00.000Z	27 \| good	5.472 \| good	13.545 \| good	27.771 \| good	0.206 \| good	6.496 \| good	0.122 \| good
2026-09-30T20:00:00.000Z	33 \| good	5.725 \| good	13.763 \| good	28.155 \| good	0.224 \| good	6.9 \| good	0.124 \| good
2026-09-30T21:00:00.000Z	33 \| good	5.983 \| good	12.567 \| good	26.772 \| good	0.24 \| good	7.445 \| good	0.128 \| good
2026-09-30T22:00:00.000Z	33 \| good	5.735 \| good	12.724 \| good	26.656 \| good	0.267 \| good	7.56 \| good	0.13 \| good

Waterlooville, Hampshire live air quality index now

Major air pollutants in Waterlooville, Hampshire

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

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Air quality in nearby cities

Horndean, Hampshire

Havant, Hampshire

Emsworth, Hampshire

Fareham, Hampshire

South Hayling, Hampshire

Gosport, Hampshire

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Frequently asked questions

How often is the air quality data for Waterlooville, Hampshire updated?

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What is the current air quality in Waterlooville, Hampshire?

What pollutant is the most common in Waterlooville, Hampshire?

What should I do if the air quality in Waterlooville, Hampshire is poor?

What is the current concentration of PM2.5 in Waterlooville, Hampshire?

What is the current concentration of PM10 in Waterlooville, Hampshire?

What is the current concentration of carbon monoxide (CO) in Waterlooville, Hampshire?

What is the current concentration of sulfur dioxide (SO2) in Waterlooville, Hampshire?

What is the current concentration of ozone (O3) in Waterlooville, Hampshire?

What is the current concentration of nitrogen dioxide (NO2) in Waterlooville, Hampshire?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What is the current concentration of PM_2.5 in Waterlooville, Hampshire?

What is the current concentration of PM₁₀ in Waterlooville, Hampshire?

What is the current concentration of sulfur dioxide (SO₂) in Waterlooville, Hampshire?

What is the current concentration of ozone (O₃) in Waterlooville, Hampshire?

What is the current concentration of nitrogen dioxide (NO₂) in Waterlooville, Hampshire?