What is the current concentration of PM10 in Newtonlewillows, Merseyside?

The current PM10 concentration at Newtonlewillows, Merseyside is 11.225 μg/m3.

What is the current concentration of sulfur dioxide (SO2) in Newtonlewillows, Merseyside?

The current sulfur dioxide (SO2) concentration at Newtonlewillows, Merseyside is 0.62 ppb.

What is the current concentration of ozone (O3) in Newtonlewillows, Merseyside?

The current ozone (O3) concentration at Newtonlewillows, Merseyside is 18.589 ppm.

What is the current concentration of nitrogen dioxide (NO2) in Newtonlewillows, Merseyside?

The current nitrogen dioxide (NO2) concentration at Newtonlewillows, Merseyside is 1.689 ppb.

NewtonleWillows, Merseyside live air quality index now

Name: Live air pollution levels in Newtonlewillows, Merseyside today
Creator: Ambee

Stay updated with real-time air quality in NewtonleWillows, Merseyside 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

NewtonleWillows, Merseyside

Last updated: ... (Local time)

Major air pollutants in NewtonleWillows, Merseyside

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

1.58 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

5.35 μg/m³

155

255

425

605+

Ozone (O₃)

27.50 ppb

201

201+

Sulfur Dioxide (SO₂)

0.38 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

2.76 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.24 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

NewtonleWillows, Merseyside

Get Live Pollen Counts

NewtonleWillows, Merseyside

Scroll To Air Quality Map

Track live NewtonleWillows, Merseyside air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-09-16T04:00:00.000Z	29 \| good	5.019 \| good	12.087 \| good	31.168 \| good	0.56 \| good	0.71 \| good	0.272 \| good
2025-09-16T05:00:00.000Z	29 \| good	4.995 \| good	12.055 \| good	30.671 \| good	0.382 \| good	0.645 \| good	0.273 \| good
2025-09-16T06:00:00.000Z	28 \| good	4.994 \| good	12.31 \| good	30.261 \| good	0.382 \| good	1.107 \| good	0.106 \| good
2025-09-16T07:00:00.000Z	28 \| good	5.031 \| good	12.29 \| good	30.138 \| good	0.382 \| good	1.423 \| good	0.114 \| good
2025-09-16T08:00:00.000Z	28 \| good	5.045 \| good	13.021 \| good	29.773 \| good	0.526 \| good	2.212 \| good	0.105 \| good
2025-09-16T09:00:00.000Z	28 \| good	5.031 \| good	13.043 \| good	29.894 \| good	0.416 \| good	3.52 \| good	0.1 \| good
2025-09-16T10:00:00.000Z	28 \| good	5.163 \| good	12.98 \| good	29.896 \| good	0.416 \| good	2.598 \| good	0.117 \| good
2025-09-16T11:00:00.000Z	28 \| good	5.17 \| good	13.066 \| good	29.511 \| good	0.425 \| good	1.94 \| good	0.096 \| good
2025-09-16T12:00:00.000Z	27 \| good	5.164 \| good	12.37 \| good	29.299 \| good	0.461 \| good	2.512 \| good	0.088 \| good
2025-09-16T13:00:00.000Z	27 \| good	5.181 \| good	12.75 \| good	29.369 \| good	0.478 \| good	1.93 \| good	0.086 \| good
2025-09-16T14:00:00.000Z	28 \| good	5.174 \| good	12.646 \| good	29.501 \| good	0.382 \| good	2.081 \| good	0.088 \| good
2025-09-16T15:00:00.000Z	28 \| good	5.203 \| good	12.734 \| good	29.622 \| good	0.481 \| good	1.776 \| good	0.09 \| good
2025-09-16T16:00:00.000Z	28 \| good	5.211 \| good	12.802 \| good	30.167 \| good	0.382 \| good	2.827 \| good	0.085 \| good
2025-09-16T17:00:00.000Z	29 \| good	5.213 \| good	12.741 \| good	31.031 \| good	0.382 \| good	2.663 \| good	0.086 \| good
2025-09-16T18:00:00.000Z	29 \| good	5.204 \| good	12.768 \| good	31.375 \| good	0.382 \| good	3.025 \| good	0.094 \| good
2025-09-16T19:00:00.000Z	29 \| good	5.109 \| good	12.622 \| good	31.462 \| good	0.382 \| good	4.418 \| good	0.1 \| good
2025-09-16T20:00:00.000Z	29 \| good	5.054 \| good	12.59 \| good	30.924 \| good	0.382 \| good	6.693 \| good	0.098 \| good
2025-09-16T21:00:00.000Z	27 \| good	5.067 \| good	12.621 \| good	29.452 \| good	0.382 \| good	12.899 \| good	0.099 \| good
2025-09-16T22:00:00.000Z	27 \| good	5.04 \| good	12.597 \| good	26.614 \| good	0.382 \| good	12.272 \| good	0.081 \| good
2025-09-16T23:00:00.000Z	27 \| good	4.969 \| good	12.62 \| good	24.634 \| good	0.382 \| good	12.469 \| good	0.084 \| good
2025-09-17T00:00:00.000Z	22 \| good	4.473 \| good	11.835 \| good	22.147 \| good	0.415 \| good	11.884 \| good	0.286 \| good
2025-09-17T01:00:00.000Z	22 \| good	4.395 \| good	11.684 \| good	19.9 \| good	0.482 \| good	8.622 \| good	0.339 \| good
2025-09-17T02:00:00.000Z	22 \| good	4.35 \| good	11.78 \| good	18.076 \| good	0.558 \| good	5.819 \| good	0.25 \| good
2025-09-17T03:00:00.000Z	22 \| good	4.379 \| good	11.778 \| good	18.016 \| good	0.579 \| good	5.819 \| good	0.248 \| good
2025-09-17T04:00:00.000Z	22 \| good	4.242 \| good	10.79 \| good	15.686 \| good	0.6 \| good	2.288 \| good	0.247 \| good
2025-09-17T05:00:00.000Z	22 \| good	4.258 \| good	10.787 \| good	16.5 \| good	0.382 \| good	2.478 \| good	0.259 \| good
2025-09-17T06:00:00.000Z	22 \| good	4.219 \| good	10.711 \| good	18.347 \| good	0.382 \| good	3.141 \| good	0.082 \| good
2025-09-17T07:00:00.000Z	22 \| good	4.199 \| good	9.942 \| good	19.129 \| good	0.382 \| good	5.005 \| good	0.088 \| good
2025-09-17T08:00:00.000Z	22 \| good	4.057 \| good	9.73 \| good	20.402 \| good	0.499 \| good	6.687 \| good	0.083 \| good
2025-09-17T09:00:00.000Z	22 \| good	4.103 \| good	9.66 \| good	21.103 \| good	0.836 \| good	8.528 \| good	0.079 \| good
2025-09-17T10:00:00.000Z	20 \| good	3.406 \| good	8.866 \| good	21.741 \| good	0.717 \| good	10.618 \| good	0.076 \| good
2025-09-17T11:00:00.000Z	20 \| good	3.381 \| good	8.579 \| good	21.661 \| good	0.717 \| good	9.359 \| good	0.096 \| good
2025-09-17T12:00:00.000Z	20 \| good	3.412 \| good	7.961 \| good	21.806 \| good	1.247 \| good	7.714 \| good	0.077 \| good
2025-09-17T13:00:00.000Z	19 \| good	3.365 \| good	7.819 \| good	21.258 \| good	0.991 \| good	6.984 \| good	0.079 \| good
2025-09-17T14:00:00.000Z	19 \| good	3.338 \| good	7.717 \| good	20.61 \| good	0.829 \| good	4.628 \| good	0.076 \| good
2025-09-17T15:00:00.000Z	20 \| good	3.21 \| good	7.032 \| good	21.833 \| good	0.564 \| good	2.257 \| good	0.076 \| good
2025-09-17T16:00:00.000Z	21 \| good	2.556 \| good	6.847 \| good	22.971 \| good	0.518 \| good	3.21 \| good	0.077 \| good
2025-09-17T17:00:00.000Z	22 \| good	2.551 \| good	6.794 \| good	23.682 \| good	0.483 \| good	3.254 \| good	0.085 \| good
2025-09-17T18:00:00.000Z	23 \| good	2.516 \| good	6.587 \| good	25.253 \| good	0.483 \| good	3.467 \| good	0.082 \| good
2025-09-17T19:00:00.000Z	24 \| good	2.532 \| good	5.738 \| good	25.788 \| good	0.479 \| good	4.362 \| good	0.082 \| good
2025-09-17T20:00:00.000Z	25 \| good	2.522 \| good	5.727 \| good	27.37 \| good	0.479 \| good	4.809 \| good	0.085 \| good
2025-09-17T21:00:00.000Z	26 \| good	2.547 \| good	5.724 \| good	28.399 \| good	0.386 \| good	4.516 \| good	0.096 \| good
2025-09-17T22:00:00.000Z	28 \| good	2.493 \| good	5.623 \| good	29.557 \| good	0.382 \| good	3.707 \| good	0.06 \| good
2025-09-17T23:00:00.000Z	27 \| good	2.481 \| good	5.646 \| good	29.358 \| good	0.382 \| good	3.917 \| good	0.058 \| good
2025-09-18T00:00:00.000Z	27 \| good	2.5 \| good	5.678 \| good	29.237 \| good	0.382 \| good	3.556 \| good	0.256 \| good
2025-09-18T01:00:00.000Z	27 \| good	2.482 \| good	5.692 \| good	28.892 \| good	0.382 \| good	3.202 \| good	0.198 \| good
2025-09-18T02:00:00.000Z	27 \| good	2.489 \| good	5.664 \| good	28.928 \| good	0.382 \| good	1.903 \| good	0.244 \| good
2025-09-18T03:00:00.000Z	25 \| good	1.576 \| good	5.354 \| good	27.496 \| good	0.382 \| good	2.763 \| good	0.24 \| good
2025-09-17T05:00:00.000Z	23 \| good	2.098 \| good	2.596 \| good	25.49 \| good	0.107 \| good	2.705 \| good	0.128 \| good
2025-09-17T06:00:00.000Z	24 \| good	1.99 \| good	2.34 \| good	26.21 \| good	0.123 \| good	3.637 \| good	0.126 \| good
2025-09-17T07:00:00.000Z	24 \| good	1.981 \| good	2.474 \| good	26.24 \| good	0.148 \| good	4.996 \| good	0.127 \| good
2025-09-17T08:00:00.000Z	22 \| good	2.114 \| good	2.681 \| good	23.523 \| good	0.163 \| good	5.568 \| good	0.127 \| good
2025-09-17T09:00:00.000Z	24 \| good	2.542 \| good	3.563 \| good	25.897 \| good	0.299 \| good	5.429 \| good	0.127 \| good
2025-09-17T10:00:00.000Z	25 \| good	3.047 \| good	5.018 \| good	27.319 \| good	0.433 \| good	5.255 \| good	0.124 \| good
2025-09-17T11:00:00.000Z	26 \| good	3.882 \| good	7.101 \| good	28.063 \| good	0.268 \| good	3.277 \| good	0.118 \| good
2025-09-17T12:00:00.000Z	30 \| good	4.7 \| good	9.165 \| good	31.523 \| good	0.242 \| good	2.143 \| good	0.111 \| good
2025-09-17T13:00:00.000Z	31 \| good	4.602 \| good	9.548 \| good	33.361 \| good	0.189 \| good	1.725 \| good	0.109 \| good
2025-09-17T14:00:00.000Z	31 \| good	4.543 \| good	9.505 \| good	33.632 \| good	0.18 \| good	1.76 \| good	0.109 \| good
2025-09-17T15:00:00.000Z	31 \| good	4.436 \| good	10.5 \| good	34.058 \| good	0.188 \| good	2.054 \| good	0.109 \| good
2025-09-17T16:00:00.000Z	31 \| good	4.414 \| good	11.055 \| good	33.582 \| good	0.208 \| good	2.778 \| good	0.112 \| good
2025-09-17T17:00:00.000Z	31 \| good	4.112 \| good	9.974 \| good	33.797 \| good	0.237 \| good	3.579 \| good	0.114 \| good
2025-09-17T18:00:00.000Z	31 \| good	4.297 \| good	11.227 \| good	33.715 \| good	0.283 \| good	4.215 \| good	0.117 \| good
2025-09-17T19:00:00.000Z	31 \| good	4.911 \| good	12.364 \| good	33.385 \| good	0.29 \| good	3.986 \| good	0.116 \| good
2025-09-17T20:00:00.000Z	31 \| good	4.412 \| good	12.739 \| good	33.301 \| good	0.293 \| good	3.609 \| good	0.114 \| good
2025-09-17T21:00:00.000Z	31 \| good	4.729 \| good	13.857 \| good	33.653 \| good	0.289 \| good	3.292 \| good	0.114 \| good
2025-09-17T22:00:00.000Z	31 \| good	4.824 \| good	14.475 \| good	33.273 \| good	0.28 \| good	3.231 \| good	0.114 \| good
2025-09-17T23:00:00.000Z	31 \| good	4.949 \| good	14.718 \| good	32.541 \| good	0.262 \| good	3.172 \| good	0.114 \| good
2025-09-18T00:00:00.000Z	30 \| good	4.985 \| good	13.845 \| good	32.104 \| good	0.289 \| good	3.155 \| good	0.114 \| good
2025-09-18T01:00:00.000Z	30 \| good	4.937 \| good	12.948 \| good	31.811 \| good	0.282 \| good	2.983 \| good	0.113 \| good
2025-09-18T02:00:00.000Z	30 \| good	4.674 \| good	12.074 \| good	31.869 \| good	0.338 \| good	3.033 \| good	0.113 \| good
2025-09-18T03:00:00.000Z	28 \| good	4.282 \| good	10.894 \| good	30.115 \| good	0.423 \| good	3.899 \| good	0.113 \| good
2025-09-18T04:00:00.000Z	25 \| good	3.81 \| good	8.955 \| good	27.314 \| good	0.358 \| good	4.406 \| good	0.114 \| good
2025-09-18T05:00:00.000Z	22 \| good	3.552 \| good	7.079 \| good	23.727 \| good	0.46 \| good	5.099 \| good	0.115 \| good
2025-09-18T06:00:00.000Z	22 \| good	3.528 \| good	7.066 \| good	19.737 \| good	0.379 \| good	7.987 \| good	0.119 \| good
2025-09-18T07:00:00.000Z	22 \| good	3.605 \| good	6.449 \| good	17.107 \| good	0.461 \| good	11.714 \| good	0.125 \| good
2025-09-18T08:00:00.000Z	19 \| good	3.274 \| good	5.585 \| good	21.1 \| good	0.554 \| good	8.538 \| good	0.114 \| good
2025-09-18T09:00:00.000Z	23 \| good	3.255 \| good	6.817 \| good	25.324 \| good	0.474 \| good	4.884 \| good	0.108 \| good
2025-09-18T10:00:00.000Z	26 \| good	3.392 \| good	7.304 \| good	27.774 \| good	0.399 \| good	3.717 \| good	0.106 \| good
2025-09-18T11:00:00.000Z	27 \| good	3.398 \| good	6.79 \| good	28.805 \| good	0.378 \| good	3.641 \| good	0.104 \| good
2025-09-18T12:00:00.000Z	25 \| good	3.047 \| good	6.348 \| good	26.837 \| good	0.331 \| good	3.328 \| good	0.105 \| good
2025-09-18T13:00:00.000Z	24 \| good	3.121 \| good	5.91 \| good	25.555 \| good	0.344 \| good	3.591 \| good	0.105 \| good
2025-09-18T14:00:00.000Z	25 \| good	3.337 \| good	6.225 \| good	26.901 \| good	0.26 \| good	3.065 \| good	0.104 \| good
2025-09-18T15:00:00.000Z	25 \| good	3.542 \| good	7.019 \| good	27.149 \| good	0.222 \| good	3.046 \| good	0.104 \| good
2025-09-18T16:00:00.000Z	24 \| good	3.476 \| good	6.881 \| good	25.694 \| good	0.241 \| good	3.663 \| good	0.106 \| good
2025-09-18T17:00:00.000Z	23 \| good	3.631 \| good	5.92 \| good	24.786 \| good	0.259 \| good	4.68 \| good	0.107 \| good
2025-09-18T18:00:00.000Z	22 \| good	3.592 \| good	5.549 \| good	23.376 \| good	0.298 \| good	5.938 \| good	0.11 \| good
2025-09-18T19:00:00.000Z	21 \| good	3.398 \| good	4.916 \| good	23.124 \| good	0.313 \| good	6.601 \| good	0.108 \| good
2025-09-18T20:00:00.000Z	23 \| good	3.404 \| good	5.058 \| good	24.833 \| good	0.335 \| good	6.361 \| good	0.106 \| good
2025-09-18T21:00:00.000Z	25 \| good	3.043 \| good	5.024 \| good	26.821 \| good	0.298 \| good	4.339 \| good	0.104 \| good
2025-09-18T22:00:00.000Z	26 \| good	3.033 \| good	5.784 \| good	28.083 \| good	0.303 \| good	3.874 \| good	0.102 \| good
2025-09-18T23:00:00.000Z	26 \| good	3.109 \| good	5.125 \| good	28.255 \| good	0.291 \| good	3.94 \| good	0.099 \| good
2025-09-19T00:00:00.000Z	25 \| good	3.085 \| good	4.476 \| good	27.203 \| good	0.239 \| good	3.838 \| good	0.099 \| good
2025-09-19T01:00:00.000Z	22 \| good	2.956 \| good	4.15 \| good	23.766 \| good	0.254 \| good	4.004 \| good	0.103 \| good
2025-09-19T02:00:00.000Z	21 \| good	2.865 \| good	4.136 \| good	23.493 \| good	0.263 \| good	3.784 \| good	0.104 \| good
2025-09-19T03:00:00.000Z	20 \| good	2.914 \| good	4.602 \| good	21.805 \| good	0.302 \| good	3.964 \| good	0.104 \| good
2025-09-19T04:00:00.000Z	20 \| good	3.293 \| good	5.156 \| good	22.334 \| good	0.3 \| good	4.087 \| good	0.103 \| good

NewtonleWillows

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NewtonleWillows, Merseyside air quality map: Track AQI near you

0.25ppm

How accurate is Merseyside, UK air quality data?

Air quality data and pollutant measurements for Merseyside, 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 Newtonlewillows, Merseyside updated?

The air quality for Newtonlewillows, Merseyside is updated every hour.

When was the worst air quality at Newtonlewillows, Merseyside in the last 24 hrs?

The worst air quality in Newtonlewillows, Merseyside in the last 24 hours was observed at 08:00:00 on 2025-09-16.

When was the best air quality at Newtonlewillows, Merseyside in the last 24 hrs?

In the last 24 hrs, the best air quality in Newtonlewillows, Merseyside was observed at 03:00:00 on 2025-09-17.

What is the current air quality in Newtonlewillows, Merseyside?

The current air quality in Newtonlewillows, Merseyside is 18, categorized as Good based on real-time data.

What pollutant is the most common in Newtonlewillows, Merseyside?

The most common pollutant in Newtonlewillows, Merseyside is O3.

What should I do if the air quality in Newtonlewillows, Merseyside is poor?

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

What is the current concentration of PM_2.5 in Newtonlewillows, Merseyside?

The current PM_2.5 concentration at Newtonlewillows, Merseyside is 2.603 μg/m³.

What is the current concentration of PM₁₀ in Newtonlewillows, Merseyside?

The current PM₁₀ concentration at Newtonlewillows, Merseyside is 11.225 μg/m³.

What is the current concentration of carbon monoxide (CO) in Newtonlewillows, Merseyside?

The current carbon monoxide (CO) concentration at Newtonlewillows, Merseyside is 0.257 ppm.

What is the current concentration of sulfur dioxide (SO₂) in Newtonlewillows, Merseyside?

The current sulfur dioxide (SO₂) concentration at Newtonlewillows, Merseyside is 0.62 ppb.

What is the current concentration of ozone (O₃) in Newtonlewillows, Merseyside?

The current ozone (O₃) concentration at Newtonlewillows, Merseyside is 18.589 ppm.

What is the current concentration of nitrogen dioxide (NO₂) in Newtonlewillows, Merseyside?

The current nitrogen dioxide (NO₂) concentration at Newtonlewillows, Merseyside is 1.689 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-09-16T04:00:00.000Z	29 \| good	5.019 \| good	12.087 \| good	31.168 \| good	0.56 \| good	0.71 \| good	0.272 \| good
2025-09-16T05:00:00.000Z	29 \| good	4.995 \| good	12.055 \| good	30.671 \| good	0.382 \| good	0.645 \| good	0.273 \| good
2025-09-16T06:00:00.000Z	28 \| good	4.994 \| good	12.31 \| good	30.261 \| good	0.382 \| good	1.107 \| good	0.106 \| good
2025-09-16T07:00:00.000Z	28 \| good	5.031 \| good	12.29 \| good	30.138 \| good	0.382 \| good	1.423 \| good	0.114 \| good
2025-09-16T08:00:00.000Z	28 \| good	5.045 \| good	13.021 \| good	29.773 \| good	0.526 \| good	2.212 \| good	0.105 \| good
2025-09-16T09:00:00.000Z	28 \| good	5.031 \| good	13.043 \| good	29.894 \| good	0.416 \| good	3.52 \| good	0.1 \| good
2025-09-16T10:00:00.000Z	28 \| good	5.163 \| good	12.98 \| good	29.896 \| good	0.416 \| good	2.598 \| good	0.117 \| good
2025-09-16T11:00:00.000Z	28 \| good	5.17 \| good	13.066 \| good	29.511 \| good	0.425 \| good	1.94 \| good	0.096 \| good
2025-09-16T12:00:00.000Z	27 \| good	5.164 \| good	12.37 \| good	29.299 \| good	0.461 \| good	2.512 \| good	0.088 \| good
2025-09-16T13:00:00.000Z	27 \| good	5.181 \| good	12.75 \| good	29.369 \| good	0.478 \| good	1.93 \| good	0.086 \| good
2025-09-16T14:00:00.000Z	28 \| good	5.174 \| good	12.646 \| good	29.501 \| good	0.382 \| good	2.081 \| good	0.088 \| good
2025-09-16T15:00:00.000Z	28 \| good	5.203 \| good	12.734 \| good	29.622 \| good	0.481 \| good	1.776 \| good	0.09 \| good
2025-09-16T16:00:00.000Z	28 \| good	5.211 \| good	12.802 \| good	30.167 \| good	0.382 \| good	2.827 \| good	0.085 \| good
2025-09-16T17:00:00.000Z	29 \| good	5.213 \| good	12.741 \| good	31.031 \| good	0.382 \| good	2.663 \| good	0.086 \| good
2025-09-16T18:00:00.000Z	29 \| good	5.204 \| good	12.768 \| good	31.375 \| good	0.382 \| good	3.025 \| good	0.094 \| good
2025-09-16T19:00:00.000Z	29 \| good	5.109 \| good	12.622 \| good	31.462 \| good	0.382 \| good	4.418 \| good	0.1 \| good
2025-09-16T20:00:00.000Z	29 \| good	5.054 \| good	12.59 \| good	30.924 \| good	0.382 \| good	6.693 \| good	0.098 \| good
2025-09-16T21:00:00.000Z	27 \| good	5.067 \| good	12.621 \| good	29.452 \| good	0.382 \| good	12.899 \| good	0.099 \| good
2025-09-16T22:00:00.000Z	27 \| good	5.04 \| good	12.597 \| good	26.614 \| good	0.382 \| good	12.272 \| good	0.081 \| good
2025-09-16T23:00:00.000Z	27 \| good	4.969 \| good	12.62 \| good	24.634 \| good	0.382 \| good	12.469 \| good	0.084 \| good
2025-09-17T00:00:00.000Z	22 \| good	4.473 \| good	11.835 \| good	22.147 \| good	0.415 \| good	11.884 \| good	0.286 \| good
2025-09-17T01:00:00.000Z	22 \| good	4.395 \| good	11.684 \| good	19.9 \| good	0.482 \| good	8.622 \| good	0.339 \| good
2025-09-17T02:00:00.000Z	22 \| good	4.35 \| good	11.78 \| good	18.076 \| good	0.558 \| good	5.819 \| good	0.25 \| good
2025-09-17T03:00:00.000Z	22 \| good	4.379 \| good	11.778 \| good	18.016 \| good	0.579 \| good	5.819 \| good	0.248 \| good
2025-09-17T04:00:00.000Z	22 \| good	4.242 \| good	10.79 \| good	15.686 \| good	0.6 \| good	2.288 \| good	0.247 \| good
2025-09-17T05:00:00.000Z	22 \| good	4.258 \| good	10.787 \| good	16.5 \| good	0.382 \| good	2.478 \| good	0.259 \| good
2025-09-17T06:00:00.000Z	22 \| good	4.219 \| good	10.711 \| good	18.347 \| good	0.382 \| good	3.141 \| good	0.082 \| good
2025-09-17T07:00:00.000Z	22 \| good	4.199 \| good	9.942 \| good	19.129 \| good	0.382 \| good	5.005 \| good	0.088 \| good
2025-09-17T08:00:00.000Z	22 \| good	4.057 \| good	9.73 \| good	20.402 \| good	0.499 \| good	6.687 \| good	0.083 \| good
2025-09-17T09:00:00.000Z	22 \| good	4.103 \| good	9.66 \| good	21.103 \| good	0.836 \| good	8.528 \| good	0.079 \| good
2025-09-17T10:00:00.000Z	20 \| good	3.406 \| good	8.866 \| good	21.741 \| good	0.717 \| good	10.618 \| good	0.076 \| good
2025-09-17T11:00:00.000Z	20 \| good	3.381 \| good	8.579 \| good	21.661 \| good	0.717 \| good	9.359 \| good	0.096 \| good
2025-09-17T12:00:00.000Z	20 \| good	3.412 \| good	7.961 \| good	21.806 \| good	1.247 \| good	7.714 \| good	0.077 \| good
2025-09-17T13:00:00.000Z	19 \| good	3.365 \| good	7.819 \| good	21.258 \| good	0.991 \| good	6.984 \| good	0.079 \| good
2025-09-17T14:00:00.000Z	19 \| good	3.338 \| good	7.717 \| good	20.61 \| good	0.829 \| good	4.628 \| good	0.076 \| good
2025-09-17T15:00:00.000Z	20 \| good	3.21 \| good	7.032 \| good	21.833 \| good	0.564 \| good	2.257 \| good	0.076 \| good
2025-09-17T16:00:00.000Z	21 \| good	2.556 \| good	6.847 \| good	22.971 \| good	0.518 \| good	3.21 \| good	0.077 \| good
2025-09-17T17:00:00.000Z	22 \| good	2.551 \| good	6.794 \| good	23.682 \| good	0.483 \| good	3.254 \| good	0.085 \| good
2025-09-17T18:00:00.000Z	23 \| good	2.516 \| good	6.587 \| good	25.253 \| good	0.483 \| good	3.467 \| good	0.082 \| good
2025-09-17T19:00:00.000Z	24 \| good	2.532 \| good	5.738 \| good	25.788 \| good	0.479 \| good	4.362 \| good	0.082 \| good
2025-09-17T20:00:00.000Z	25 \| good	2.522 \| good	5.727 \| good	27.37 \| good	0.479 \| good	4.809 \| good	0.085 \| good
2025-09-17T21:00:00.000Z	26 \| good	2.547 \| good	5.724 \| good	28.399 \| good	0.386 \| good	4.516 \| good	0.096 \| good
2025-09-17T22:00:00.000Z	28 \| good	2.493 \| good	5.623 \| good	29.557 \| good	0.382 \| good	3.707 \| good	0.06 \| good
2025-09-17T23:00:00.000Z	27 \| good	2.481 \| good	5.646 \| good	29.358 \| good	0.382 \| good	3.917 \| good	0.058 \| good
2025-09-18T00:00:00.000Z	27 \| good	2.5 \| good	5.678 \| good	29.237 \| good	0.382 \| good	3.556 \| good	0.256 \| good
2025-09-18T01:00:00.000Z	27 \| good	2.482 \| good	5.692 \| good	28.892 \| good	0.382 \| good	3.202 \| good	0.198 \| good
2025-09-18T02:00:00.000Z	27 \| good	2.489 \| good	5.664 \| good	28.928 \| good	0.382 \| good	1.903 \| good	0.244 \| good
2025-09-18T03:00:00.000Z	25 \| good	1.576 \| good	5.354 \| good	27.496 \| good	0.382 \| good	2.763 \| good	0.24 \| good
2025-09-17T05:00:00.000Z	23 \| good	2.098 \| good	2.596 \| good	25.49 \| good	0.107 \| good	2.705 \| good	0.128 \| good
2025-09-17T06:00:00.000Z	24 \| good	1.99 \| good	2.34 \| good	26.21 \| good	0.123 \| good	3.637 \| good	0.126 \| good
2025-09-17T07:00:00.000Z	24 \| good	1.981 \| good	2.474 \| good	26.24 \| good	0.148 \| good	4.996 \| good	0.127 \| good
2025-09-17T08:00:00.000Z	22 \| good	2.114 \| good	2.681 \| good	23.523 \| good	0.163 \| good	5.568 \| good	0.127 \| good
2025-09-17T09:00:00.000Z	24 \| good	2.542 \| good	3.563 \| good	25.897 \| good	0.299 \| good	5.429 \| good	0.127 \| good
2025-09-17T10:00:00.000Z	25 \| good	3.047 \| good	5.018 \| good	27.319 \| good	0.433 \| good	5.255 \| good	0.124 \| good
2025-09-17T11:00:00.000Z	26 \| good	3.882 \| good	7.101 \| good	28.063 \| good	0.268 \| good	3.277 \| good	0.118 \| good
2025-09-17T12:00:00.000Z	30 \| good	4.7 \| good	9.165 \| good	31.523 \| good	0.242 \| good	2.143 \| good	0.111 \| good
2025-09-17T13:00:00.000Z	31 \| good	4.602 \| good	9.548 \| good	33.361 \| good	0.189 \| good	1.725 \| good	0.109 \| good
2025-09-17T14:00:00.000Z	31 \| good	4.543 \| good	9.505 \| good	33.632 \| good	0.18 \| good	1.76 \| good	0.109 \| good
2025-09-17T15:00:00.000Z	31 \| good	4.436 \| good	10.5 \| good	34.058 \| good	0.188 \| good	2.054 \| good	0.109 \| good
2025-09-17T16:00:00.000Z	31 \| good	4.414 \| good	11.055 \| good	33.582 \| good	0.208 \| good	2.778 \| good	0.112 \| good
2025-09-17T17:00:00.000Z	31 \| good	4.112 \| good	9.974 \| good	33.797 \| good	0.237 \| good	3.579 \| good	0.114 \| good
2025-09-17T18:00:00.000Z	31 \| good	4.297 \| good	11.227 \| good	33.715 \| good	0.283 \| good	4.215 \| good	0.117 \| good
2025-09-17T19:00:00.000Z	31 \| good	4.911 \| good	12.364 \| good	33.385 \| good	0.29 \| good	3.986 \| good	0.116 \| good
2025-09-17T20:00:00.000Z	31 \| good	4.412 \| good	12.739 \| good	33.301 \| good	0.293 \| good	3.609 \| good	0.114 \| good
2025-09-17T21:00:00.000Z	31 \| good	4.729 \| good	13.857 \| good	33.653 \| good	0.289 \| good	3.292 \| good	0.114 \| good
2025-09-17T22:00:00.000Z	31 \| good	4.824 \| good	14.475 \| good	33.273 \| good	0.28 \| good	3.231 \| good	0.114 \| good
2025-09-17T23:00:00.000Z	31 \| good	4.949 \| good	14.718 \| good	32.541 \| good	0.262 \| good	3.172 \| good	0.114 \| good
2025-09-18T00:00:00.000Z	30 \| good	4.985 \| good	13.845 \| good	32.104 \| good	0.289 \| good	3.155 \| good	0.114 \| good
2025-09-18T01:00:00.000Z	30 \| good	4.937 \| good	12.948 \| good	31.811 \| good	0.282 \| good	2.983 \| good	0.113 \| good
2025-09-18T02:00:00.000Z	30 \| good	4.674 \| good	12.074 \| good	31.869 \| good	0.338 \| good	3.033 \| good	0.113 \| good
2025-09-18T03:00:00.000Z	28 \| good	4.282 \| good	10.894 \| good	30.115 \| good	0.423 \| good	3.899 \| good	0.113 \| good
2025-09-18T04:00:00.000Z	25 \| good	3.81 \| good	8.955 \| good	27.314 \| good	0.358 \| good	4.406 \| good	0.114 \| good
2025-09-18T05:00:00.000Z	22 \| good	3.552 \| good	7.079 \| good	23.727 \| good	0.46 \| good	5.099 \| good	0.115 \| good
2025-09-18T06:00:00.000Z	22 \| good	3.528 \| good	7.066 \| good	19.737 \| good	0.379 \| good	7.987 \| good	0.119 \| good
2025-09-18T07:00:00.000Z	22 \| good	3.605 \| good	6.449 \| good	17.107 \| good	0.461 \| good	11.714 \| good	0.125 \| good
2025-09-18T08:00:00.000Z	19 \| good	3.274 \| good	5.585 \| good	21.1 \| good	0.554 \| good	8.538 \| good	0.114 \| good
2025-09-18T09:00:00.000Z	23 \| good	3.255 \| good	6.817 \| good	25.324 \| good	0.474 \| good	4.884 \| good	0.108 \| good
2025-09-18T10:00:00.000Z	26 \| good	3.392 \| good	7.304 \| good	27.774 \| good	0.399 \| good	3.717 \| good	0.106 \| good
2025-09-18T11:00:00.000Z	27 \| good	3.398 \| good	6.79 \| good	28.805 \| good	0.378 \| good	3.641 \| good	0.104 \| good
2025-09-18T12:00:00.000Z	25 \| good	3.047 \| good	6.348 \| good	26.837 \| good	0.331 \| good	3.328 \| good	0.105 \| good
2025-09-18T13:00:00.000Z	24 \| good	3.121 \| good	5.91 \| good	25.555 \| good	0.344 \| good	3.591 \| good	0.105 \| good
2025-09-18T14:00:00.000Z	25 \| good	3.337 \| good	6.225 \| good	26.901 \| good	0.26 \| good	3.065 \| good	0.104 \| good
2025-09-18T15:00:00.000Z	25 \| good	3.542 \| good	7.019 \| good	27.149 \| good	0.222 \| good	3.046 \| good	0.104 \| good
2025-09-18T16:00:00.000Z	24 \| good	3.476 \| good	6.881 \| good	25.694 \| good	0.241 \| good	3.663 \| good	0.106 \| good
2025-09-18T17:00:00.000Z	23 \| good	3.631 \| good	5.92 \| good	24.786 \| good	0.259 \| good	4.68 \| good	0.107 \| good
2025-09-18T18:00:00.000Z	22 \| good	3.592 \| good	5.549 \| good	23.376 \| good	0.298 \| good	5.938 \| good	0.11 \| good
2025-09-18T19:00:00.000Z	21 \| good	3.398 \| good	4.916 \| good	23.124 \| good	0.313 \| good	6.601 \| good	0.108 \| good
2025-09-18T20:00:00.000Z	23 \| good	3.404 \| good	5.058 \| good	24.833 \| good	0.335 \| good	6.361 \| good	0.106 \| good
2025-09-18T21:00:00.000Z	25 \| good	3.043 \| good	5.024 \| good	26.821 \| good	0.298 \| good	4.339 \| good	0.104 \| good
2025-09-18T22:00:00.000Z	26 \| good	3.033 \| good	5.784 \| good	28.083 \| good	0.303 \| good	3.874 \| good	0.102 \| good
2025-09-18T23:00:00.000Z	26 \| good	3.109 \| good	5.125 \| good	28.255 \| good	0.291 \| good	3.94 \| good	0.099 \| good
2025-09-19T00:00:00.000Z	25 \| good	3.085 \| good	4.476 \| good	27.203 \| good	0.239 \| good	3.838 \| good	0.099 \| good
2025-09-19T01:00:00.000Z	22 \| good	2.956 \| good	4.15 \| good	23.766 \| good	0.254 \| good	4.004 \| good	0.103 \| good
2025-09-19T02:00:00.000Z	21 \| good	2.865 \| good	4.136 \| good	23.493 \| good	0.263 \| good	3.784 \| good	0.104 \| good
2025-09-19T03:00:00.000Z	20 \| good	2.914 \| good	4.602 \| good	21.805 \| good	0.302 \| good	3.964 \| good	0.104 \| good
2025-09-19T04:00:00.000Z	20 \| good	3.293 \| good	5.156 \| good	22.334 \| good	0.3 \| good	4.087 \| good	0.103 \| good

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Major air pollutants in NewtonleWillows, Merseyside

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

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