What is the PM10 level in Monroe, Connecticut at the moment?

The PM10 concentration in Monroe, Connecticut is 6.621 μg/m3 at the moment.

What is the sulfur dioxide (SO2) level in Monroe, Connecticut at the moment?

Currently, Monroe, Connecticut has a sulfur dioxide (SO2) concentration of 0.122 ppb.

What is the ozone (O3) level in Monroe, Connecticut at the moment?

The current ozone (O3) level in Monroe, Connecticut at the moment is 32.038 ppm.

What is the nitrogen dioxide (NO2) level in Monroe, Connecticut at the moment?

Nitrogen dioxide (NO2) level in Monroe, Connecticut at the moment is 1.317 ppb.

Live air quality index in Monroe, Connecticut today

Q: What is the PM2.5 level in Monroe, Connecticut at the moment?

PM2.5 levels in Monroe, Connecticut are currently 1.601 μg/m3.

Stay updated with real-time air quality in Monroe, Connecticut 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

Monroe, Connecticut

Last updated: ... (Local time)

Major air pollutants in Monroe, Connecticut

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

6.30 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

14.93 μg/m³

155

255

425

605+

Ozone (O₃)

28.03 ppb

201

201+

Sulfur Dioxide (SO₂)

0.27 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

8.64 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.25 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Monroe, Connecticut

Get Live Pollen Counts

Monroe, Connecticut

Scroll To Air Quality Map

Track live Monroe, Connecticut air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-11-01T21:00:00.000Z	30 \| good	1.853 \| good	4.55 \| good	32.389 \| good	0.137 \| good	1.619 \| good	0.1 \| good
2025-11-01T22:00:00.000Z	29 \| good	2.014 \| good	9.538 \| good	31.475 \| good	0.129 \| good	2.286 \| good	0.1 \| good
2025-11-01T23:00:00.000Z	29 \| good	2.743 \| good	12.496 \| good	31.124 \| good	0.166 \| good	4.575 \| good	0.125 \| good
2025-11-02T00:00:00.000Z	26 \| good	3.102 \| good	10.363 \| good	27.565 \| good	0.253 \| good	4.156 \| good	0.205 \| good
2025-11-02T01:00:00.000Z	27 \| good	3.113 \| good	5.797 \| good	29.315 \| good	0.257 \| good	4.533 \| good	0.161 \| good
2025-11-02T02:00:00.000Z	25 \| good	4.259 \| good	9.027 \| good	27.187 \| good	0.253 \| good	8.661 \| good	0.195 \| good
2025-11-02T03:00:00.000Z	22 \| good	3.691 \| good	16.245 \| good	20.75 \| good	0.623 \| good	7.213 \| good	0.176 \| good
2025-11-02T04:00:00.000Z	22 \| good	4.492 \| good	17.75 \| good	22.592 \| good	0.321 \| good	15.47 \| good	0.23 \| good
2025-11-02T05:00:00.000Z	27 \| good	4.842 \| good	24.014 \| good	20.033 \| good	0.153 \| good	16.246 \| good	0.23 \| good
2025-11-02T06:00:00.000Z	22 \| good	4.265 \| good	18.34 \| good	20.323 \| good	0.137 \| good	17.055 \| good	0.23 \| good
2025-11-02T07:00:00.000Z	33 \| good	6.167 \| good	15.304 \| good	20.14 \| good	0.135 \| good	17.439 \| good	0.188 \| good
2025-11-02T08:00:00.000Z	33 \| good	5.95 \| good	17.196 \| good	18.474 \| good	0.157 \| good	16.518 \| good	0.197 \| good
2025-11-02T09:00:00.000Z	27 \| good	5.401 \| good	11.613 \| good	16.937 \| good	0.218 \| good	18.515 \| good	0.231 \| good
2025-11-02T10:00:00.000Z	27 \| good	4.753 \| good	15.194 \| good	13.304 \| good	0.198 \| good	15.867 \| good	0.231 \| good
2025-11-02T11:00:00.000Z	22 \| good	4.302 \| good	22.036 \| good	10.146 \| good	0.25 \| good	12.371 \| good	0.258 \| good
2025-11-02T12:00:00.000Z	27 \| good	4.948 \| good	13.681 \| good	9.402 \| good	0.226 \| good	9.865 \| good	0.29 \| good
2025-11-02T13:00:00.000Z	22 \| good	4.197 \| good	15.395 \| good	9.63 \| good	0.166 \| good	8.347 \| good	0.326 \| good
2025-11-02T14:00:00.000Z	27 \| good	5.465 \| good	11.006 \| good	9.74 \| good	0.262 \| good	8.909 \| good	0.235 \| good
2025-11-02T15:00:00.000Z	22 \| good	4.021 \| good	10.313 \| good	10.939 \| good	0.174 \| good	6.34 \| good	0.138 \| good
2025-11-02T16:00:00.000Z	22 \| good	4.167 \| good	13.836 \| good	12.959 \| good	0.244 \| good	3.945 \| good	0.125 \| good
2025-11-02T17:00:00.000Z	22 \| good	3.847 \| good	12.549 \| good	16.125 \| good	0.188 \| good	3.338 \| good	0.136 \| good
2025-11-02T18:00:00.000Z	20 \| good	3.426 \| good	10.463 \| good	21.52 \| good	0.172 \| good	3.506 \| good	0.159 \| good
2025-11-02T19:00:00.000Z	26 \| good	3.1 \| good	7.965 \| good	27.97 \| good	0.241 \| good	3.347 \| good	0.159 \| good
2025-11-02T20:00:00.000Z	26 \| good	3.503 \| good	8.287 \| good	28.487 \| good	0.219 \| good	2.291 \| good	0.174 \| good
2025-11-02T21:00:00.000Z	32 \| good	3.461 \| good	6.642 \| good	34.612 \| good	0.224 \| good	2.247 \| good	0.192 \| good
2025-11-02T22:00:00.000Z	31 \| good	3.826 \| good	7.669 \| good	33.85 \| good	0.153 \| good	5.144 \| good	0.192 \| good
2025-11-02T23:00:00.000Z	28 \| good	5.478 \| good	9.325 \| good	29.976 \| good	0.184 \| good	12.598 \| good	0.212 \| good
2025-11-03T00:00:00.000Z	33 \| good	6.446 \| good	16.665 \| good	26.705 \| good	0.286 \| good	15.953 \| good	0.423 \| good
2025-11-03T01:00:00.000Z	38 \| good	6.723 \| good	26.244 \| good	23.043 \| good	0.335 \| good	15.659 \| good	0.432 \| good
2025-11-03T02:00:00.000Z	60 \| moderate	14.226 \| fine	26.408 \| good	21.45 \| good	0.443 \| good	22.024 \| good	0.386 \| good
2025-11-03T03:00:00.000Z	60 \| moderate	14.311 \| fine	39.103 \| good	9.182 \| good	0.355 \| good	21.717 \| good	0.312 \| good
2025-11-03T04:00:00.000Z	56 \| moderate	11.847 \| good	22.082 \| good	15.87 \| good	0.203 \| good	18.768 \| good	0.314 \| good
2025-11-03T05:00:00.000Z	44 \| good	7.832 \| good	31.582 \| good	10.855 \| good	0.184 \| good	18.919 \| good	0.332 \| good
2025-11-03T06:00:00.000Z	52 \| moderate	10.15 \| good	40.714 \| good	13.321 \| good	0.254 \| good	21.282 \| good	0.32 \| good
2025-11-03T07:00:00.000Z	38 \| good	7.012 \| good	30.104 \| good	11.606 \| good	0.215 \| good	20.887 \| good	0.384 \| good
2025-11-03T08:00:00.000Z	58 \| moderate	12.538 \| fine	44.728 \| good	9.996 \| good	0.357 \| good	17.248 \| good	0.299 \| good
2025-11-03T09:00:00.000Z	52 \| moderate	10.158 \| good	36.786 \| good	6.511 \| good	0.344 \| good	15.664 \| good	0.286 \| good
2025-11-03T10:00:00.000Z	44 \| good	7.977 \| good	39.066 \| good	4.035 \| good	0.282 \| good	15.654 \| good	0.291 \| good
2025-11-03T11:00:00.000Z	33 \| good	6.04 \| good	35.59 \| good	2.865 \| good	0.434 \| good	17.085 \| good	0.295 \| good
2025-11-03T12:00:00.000Z	44 \| good	8.282 \| good	37.737 \| good	2.83 \| good	0.714 \| good	18.254 \| good	0.358 \| good
2025-11-03T13:00:00.000Z	44 \| good	7.849 \| good	28.762 \| good	23.438 \| good	0.878 \| good	16.326 \| good	0.475 \| good
2025-11-03T14:00:00.000Z	58 \| moderate	12.51 \| fine	26.445 \| good	6.079 \| good	0.876 \| good	17.826 \| good	0.567 \| good
2025-11-03T15:00:00.000Z	58 \| moderate	13.232 \| fine	26.036 \| good	15.299 \| good	0.446 \| good	16.815 \| good	0.532 \| good
2025-11-03T16:00:00.000Z	54 \| moderate	11.084 \| good	26.648 \| good	14.733 \| good	0.53 \| good	14.801 \| good	0.42 \| good
2025-11-03T17:00:00.000Z	52 \| moderate	10.427 \| good	21.173 \| good	23.099 \| good	0.458 \| good	12.684 \| good	0.349 \| good
2025-11-03T18:00:00.000Z	33 \| good	5.701 \| good	20.869 \| good	27.144 \| good	0.387 \| good	9.743 \| good	0.268 \| good
2025-11-03T19:00:00.000Z	33 \| good	6.301 \| good	14.934 \| good	28.03 \| good	0.267 \| good	8.637 \| good	0.246 \| good
2025-11-03T20:00:00.000Z	33 \| good	6.301 \| good	14.934 \| good	28.03 \| good	0.267 \| good	8.637 \| good	0.246 \| good
2025-11-01T20:00:00.000Z	32 \| good	1.177 \| good	4.949 \| good	35.447 \| good	0.284 \| good	2.051 \| good	0.132 \| good
2025-11-01T21:00:00.000Z	33 \| good	1.497 \| good	5.992 \| good	35.831 \| good	0.283 \| good	2.426 \| good	0.135 \| good
2025-11-01T22:00:00.000Z	31 \| good	1.694 \| good	6.949 \| good	33.846 \| good	0.341 \| good	3.428 \| good	0.142 \| good
2025-11-01T23:00:00.000Z	30 \| good	2.536 \| good	10.511 \| good	31.841 \| good	0.4 \| good	4.429 \| good	0.15 \| good
2025-11-02T00:00:00.000Z	22 \| good	2.34 \| good	9.769 \| good	24.499 \| good	0.458 \| good	5.431 \| good	0.158 \| good
2025-11-02T01:00:00.000Z	22 \| good	2.493 \| good	10.321 \| good	24.029 \| good	0.499 \| good	5.826 \| good	0.161 \| good
2025-11-02T02:00:00.000Z	21 \| good	3.094 \| good	12.985 \| good	23.328 \| good	0.539 \| good	6.221 \| good	0.165 \| good
2025-11-02T03:00:00.000Z	19 \| good	3.439 \| good	15.339 \| good	21.116 \| good	0.58 \| good	6.615 \| good	0.168 \| good
2025-11-02T04:00:00.000Z	18 \| good	3.018 \| good	12.646 \| good	18.87 \| good	0.585 \| good	6.038 \| good	0.164 \| good
2025-11-02T05:00:00.000Z	17 \| good	3.389 \| good	14.704 \| good	18.068 \| good	0.59 \| good	5.462 \| good	0.161 \| good
2025-11-02T06:00:00.000Z	22 \| good	4.005 \| good	17.677 \| good	16.574 \| good	0.596 \| good	4.885 \| good	0.157 \| good
2025-11-02T07:00:00.000Z	27 \| good	4.608 \| good	19.914 \| good	14.995 \| good	0.624 \| good	4.682 \| good	0.155 \| good
2025-11-02T08:00:00.000Z	27 \| good	4.867 \| good	21.004 \| good	13.874 \| good	0.653 \| good	4.48 \| good	0.152 \| good
2025-11-02T09:00:00.000Z	22 \| good	4.358 \| good	18.951 \| good	10.799 \| good	0.682 \| good	4.277 \| good	0.15 \| good
2025-11-02T10:00:00.000Z	22 \| good	4.199 \| good	18.583 \| good	10.792 \| good	0.784 \| good	6.434 \| good	0.173 \| good
2025-11-02T11:00:00.000Z	22 \| good	4.107 \| good	17.927 \| good	11.578 \| good	0.886 \| good	8.591 \| good	0.195 \| good
2025-11-02T12:00:00.000Z	22 \| good	3.584 \| good	15.773 \| good	14.742 \| good	0.988 \| good	10.748 \| good	0.217 \| good
2025-11-02T13:00:00.000Z	21 \| good	3.278 \| good	14.035 \| good	22.585 \| good	0.888 \| good	8.131 \| good	0.196 \| good
2025-11-02T14:00:00.000Z	25 \| good	2.467 \| good	10.356 \| good	26.918 \| good	0.788 \| good	5.513 \| good	0.174 \| good
2025-11-02T15:00:00.000Z	27 \| good	2.241 \| good	9.255 \| good	29.396 \| good	0.688 \| good	2.896 \| good	0.152 \| good
2025-11-02T16:00:00.000Z	29 \| good	2.642 \| good	10.873 \| good	30.889 \| good	0.609 \| good	2.56 \| good	0.148 \| good
2025-11-02T17:00:00.000Z	30 \| good	3.341 \| good	14.407 \| good	32.458 \| good	0.53 \| good	2.224 \| good	0.144 \| good
2025-11-02T18:00:00.000Z	31 \| good	3.806 \| good	16.445 \| good	33.461 \| good	0.45 \| good	1.887 \| good	0.14 \| good
2025-11-02T19:00:00.000Z	31 \| good	3.562 \| good	15.932 \| good	34.208 \| good	0.49 \| good	2.661 \| good	0.145 \| good
2025-11-02T20:00:00.000Z	33 \| good	3.646 \| good	15.932 \| good	36.288 \| good	0.53 \| good	3.435 \| good	0.151 \| good
2025-11-02T21:00:00.000Z	31 \| good	4.603 \| good	20.085 \| good	33.01 \| good	0.57 \| good	4.209 \| good	0.156 \| good
2025-11-02T22:00:00.000Z	27 \| good	5.205 \| good	22.363 \| good	28.201 \| good	1.014 \| good	10.665 \| good	0.207 \| good
2025-11-02T23:00:00.000Z	33 \| good	6.365 \| good	28.409 \| good	24.296 \| good	1.457 \| good	17.122 \| good	0.257 \| good
2025-11-03T00:00:00.000Z	38 \| good	6.705 \| good	29.618 \| good	21.186 \| good	1.901 \| good	23.578 \| good	0.308 \| good
2025-11-03T01:00:00.000Z	38 \| good	7.253 \| good	32.133 \| good	21.022 \| good	2.282 \| good	24.573 \| good	0.308 \| good
2025-11-03T02:00:00.000Z	49 \| good	8.944 \| good	39.383 \| good	22.033 \| good	2.664 \| good	25.567 \| good	0.308 \| good
2025-11-03T03:00:00.000Z	52 \| moderate	10.212 \| good	45.484 \| good	19.127 \| good	3.045 \| good	26.562 \| good	0.307 \| good
2025-11-03T04:00:00.000Z	54 \| moderate	11.063 \| good	49.239 \| good	16.333 \| good	3.072 \| good	25.835 \| good	0.299 \| good
2025-11-03T05:00:00.000Z	54 \| moderate	10.84 \| good	48.035 \| good	13.945 \| good	3.099 \| good	25.108 \| good	0.29 \| good
2025-11-03T06:00:00.000Z	60 \| moderate	13.798 \| fine	61.861 \| fine	11.265 \| good	3.126 \| good	24.381 \| good	0.281 \| good
2025-11-03T07:00:00.000Z	64 \| moderate	16.332 \| fine	73.069 \| fine	8.548 \| good	3.104 \| good	23.175 \| good	0.27 \| good
2025-11-03T08:00:00.000Z	69 \| moderate	18.898 \| fine	83.309 \| fine	4.667 \| good	3.082 \| good	21.969 \| good	0.258 \| good
2025-11-03T09:00:00.000Z	75 \| moderate	22.127 \| fine	96.569 \| fine	2.756 \| good	3.059 \| good	20.762 \| good	0.246 \| good
2025-11-03T10:00:00.000Z	77 \| moderate	22.81 \| fine	100.228 \| fine	2.649 \| good	3.063 \| good	20.902 \| good	0.257 \| good
2025-11-03T11:00:00.000Z	81 \| moderate	24.688 \| fine	107.415 \| fine	1.343 \| good	3.067 \| good	21.042 \| good	0.268 \| good
2025-11-03T12:00:00.000Z	82 \| moderate	26.282 \| fine	113.979 \| fine	3.189 \| good	3.07 \| good	21.181 \| good	0.279 \| good
2025-11-03T13:00:00.000Z	77 \| moderate	22.973 \| fine	100.67 \| fine	16.724 \| good	2.984 \| good	17.513 \| good	0.253 \| good
2025-11-03T14:00:00.000Z	62 \| moderate	15.363 \| fine	68.616 \| fine	28.985 \| good	2.897 \| good	13.844 \| good	0.227 \| good
2025-11-03T15:00:00.000Z	54 \| moderate	11.07 \| good	48.904 \| good	33.586 \| good	2.81 \| good	10.176 \| good	0.2 \| good
2025-11-03T16:00:00.000Z	54 \| moderate	11.026 \| good	48.663 \| good	33.507 \| good	2.53 \| good	8.364 \| good	0.185 \| good
2025-11-03T17:00:00.000Z	49 \| good	9.294 \| good	41.234 \| good	36.386 \| good	2.249 \| good	6.551 \| good	0.17 \| good
2025-11-03T18:00:00.000Z	44 \| good	7.538 \| good	33.357 \| good	42.542 \| good	1.969 \| good	4.739 \| good	0.155 \| good
2025-11-03T19:00:00.000Z	42 \| good	6.529 \| good	29.283 \| good	45.316 \| good	1.893 \| good	5.481 \| good	0.158 \| good

Monroe

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Monroe, Connecticut air quality map: Stay updated on AQI near you

0.10ppm

How accurate is Connecticut, USA air quality data?

Air quality and pollutant data for Connecticut, USA are sourced from ground-based monitors and satellites, adhering to US EPA standards. Machine learning and advanced algorithms enhance the data by incorporating local variables like traffic and population density, ensuring high accuracy and dependability.

Source: Ambee Data Sources

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Frequently asked questions

How often is air quality information updated for Monroe, Connecticut?

The air quality information for Monroe, Connecticut is updated every hour for accuracy.

What time in the last 24 hours was the air quality in Monroe, Connecticut at its worst?

In the past 24 hours, the air quality in Monroe, Connecticut was at its worst at 01:00:00 on 2025-11-01.

When did Monroe, Connecticut experience the best air quality in the last 24 hours?

In the last 24 hours, the best air quality in Monroe, Connecticut was observed at 10:00:00 on 2025-10-31.

What is the AQI in Monroe, Connecticut right now?

As of now, the AQI in Monroe, Connecticut is 30, indicating Good conditions.

What is the most common type of pollution in Monroe, Connecticut?

Monroe, Connecticut air has the highest levels of O3.

What should I do in case of poor air quality in Monroe, Connecticut?

Poor air quality in Monroe, Connecticut means it's advisable to stay indoors and wear a mask for your protection.

What is the PM_2.5 level in Monroe, Connecticut at the moment?

PM_2.5 levels in Monroe, Connecticut are currently 1.601 μg/m³.

What is the PM₁₀ level in Monroe, Connecticut at the moment?

The PM₁₀ concentration in Monroe, Connecticut is 6.621 μg/m³ at the moment.

What is the carbon monoxide (CO) level in Monroe, Connecticut at the moment?

The current carbon monoxide (CO) concentration in Monroe, Connecticut is 0.113 ppm.

What is the sulfur dioxide (SO₂) level in Monroe, Connecticut at the moment?

Currently, Monroe, Connecticut has a sulfur dioxide (SO₂) concentration of 0.122 ppb.

What is the ozone (O₃) level in Monroe, Connecticut at the moment?

The current ozone (O₃) level in Monroe, Connecticut at the moment is 32.038 ppm.

What is the nitrogen dioxide (NO₂) level in Monroe, Connecticut at the moment?

Nitrogen dioxide (NO₂) level in Monroe, Connecticut at the moment is 1.317 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-11-01T21:00:00.000Z	30 \| good	1.853 \| good	4.55 \| good	32.389 \| good	0.137 \| good	1.619 \| good	0.1 \| good
2025-11-01T22:00:00.000Z	29 \| good	2.014 \| good	9.538 \| good	31.475 \| good	0.129 \| good	2.286 \| good	0.1 \| good
2025-11-01T23:00:00.000Z	29 \| good	2.743 \| good	12.496 \| good	31.124 \| good	0.166 \| good	4.575 \| good	0.125 \| good
2025-11-02T00:00:00.000Z	26 \| good	3.102 \| good	10.363 \| good	27.565 \| good	0.253 \| good	4.156 \| good	0.205 \| good
2025-11-02T01:00:00.000Z	27 \| good	3.113 \| good	5.797 \| good	29.315 \| good	0.257 \| good	4.533 \| good	0.161 \| good
2025-11-02T02:00:00.000Z	25 \| good	4.259 \| good	9.027 \| good	27.187 \| good	0.253 \| good	8.661 \| good	0.195 \| good
2025-11-02T03:00:00.000Z	22 \| good	3.691 \| good	16.245 \| good	20.75 \| good	0.623 \| good	7.213 \| good	0.176 \| good
2025-11-02T04:00:00.000Z	22 \| good	4.492 \| good	17.75 \| good	22.592 \| good	0.321 \| good	15.47 \| good	0.23 \| good
2025-11-02T05:00:00.000Z	27 \| good	4.842 \| good	24.014 \| good	20.033 \| good	0.153 \| good	16.246 \| good	0.23 \| good
2025-11-02T06:00:00.000Z	22 \| good	4.265 \| good	18.34 \| good	20.323 \| good	0.137 \| good	17.055 \| good	0.23 \| good
2025-11-02T07:00:00.000Z	33 \| good	6.167 \| good	15.304 \| good	20.14 \| good	0.135 \| good	17.439 \| good	0.188 \| good
2025-11-02T08:00:00.000Z	33 \| good	5.95 \| good	17.196 \| good	18.474 \| good	0.157 \| good	16.518 \| good	0.197 \| good
2025-11-02T09:00:00.000Z	27 \| good	5.401 \| good	11.613 \| good	16.937 \| good	0.218 \| good	18.515 \| good	0.231 \| good
2025-11-02T10:00:00.000Z	27 \| good	4.753 \| good	15.194 \| good	13.304 \| good	0.198 \| good	15.867 \| good	0.231 \| good
2025-11-02T11:00:00.000Z	22 \| good	4.302 \| good	22.036 \| good	10.146 \| good	0.25 \| good	12.371 \| good	0.258 \| good
2025-11-02T12:00:00.000Z	27 \| good	4.948 \| good	13.681 \| good	9.402 \| good	0.226 \| good	9.865 \| good	0.29 \| good
2025-11-02T13:00:00.000Z	22 \| good	4.197 \| good	15.395 \| good	9.63 \| good	0.166 \| good	8.347 \| good	0.326 \| good
2025-11-02T14:00:00.000Z	27 \| good	5.465 \| good	11.006 \| good	9.74 \| good	0.262 \| good	8.909 \| good	0.235 \| good
2025-11-02T15:00:00.000Z	22 \| good	4.021 \| good	10.313 \| good	10.939 \| good	0.174 \| good	6.34 \| good	0.138 \| good
2025-11-02T16:00:00.000Z	22 \| good	4.167 \| good	13.836 \| good	12.959 \| good	0.244 \| good	3.945 \| good	0.125 \| good
2025-11-02T17:00:00.000Z	22 \| good	3.847 \| good	12.549 \| good	16.125 \| good	0.188 \| good	3.338 \| good	0.136 \| good
2025-11-02T18:00:00.000Z	20 \| good	3.426 \| good	10.463 \| good	21.52 \| good	0.172 \| good	3.506 \| good	0.159 \| good
2025-11-02T19:00:00.000Z	26 \| good	3.1 \| good	7.965 \| good	27.97 \| good	0.241 \| good	3.347 \| good	0.159 \| good
2025-11-02T20:00:00.000Z	26 \| good	3.503 \| good	8.287 \| good	28.487 \| good	0.219 \| good	2.291 \| good	0.174 \| good
2025-11-02T21:00:00.000Z	32 \| good	3.461 \| good	6.642 \| good	34.612 \| good	0.224 \| good	2.247 \| good	0.192 \| good
2025-11-02T22:00:00.000Z	31 \| good	3.826 \| good	7.669 \| good	33.85 \| good	0.153 \| good	5.144 \| good	0.192 \| good
2025-11-02T23:00:00.000Z	28 \| good	5.478 \| good	9.325 \| good	29.976 \| good	0.184 \| good	12.598 \| good	0.212 \| good
2025-11-03T00:00:00.000Z	33 \| good	6.446 \| good	16.665 \| good	26.705 \| good	0.286 \| good	15.953 \| good	0.423 \| good
2025-11-03T01:00:00.000Z	38 \| good	6.723 \| good	26.244 \| good	23.043 \| good	0.335 \| good	15.659 \| good	0.432 \| good
2025-11-03T02:00:00.000Z	60 \| moderate	14.226 \| fine	26.408 \| good	21.45 \| good	0.443 \| good	22.024 \| good	0.386 \| good
2025-11-03T03:00:00.000Z	60 \| moderate	14.311 \| fine	39.103 \| good	9.182 \| good	0.355 \| good	21.717 \| good	0.312 \| good
2025-11-03T04:00:00.000Z	56 \| moderate	11.847 \| good	22.082 \| good	15.87 \| good	0.203 \| good	18.768 \| good	0.314 \| good
2025-11-03T05:00:00.000Z	44 \| good	7.832 \| good	31.582 \| good	10.855 \| good	0.184 \| good	18.919 \| good	0.332 \| good
2025-11-03T06:00:00.000Z	52 \| moderate	10.15 \| good	40.714 \| good	13.321 \| good	0.254 \| good	21.282 \| good	0.32 \| good
2025-11-03T07:00:00.000Z	38 \| good	7.012 \| good	30.104 \| good	11.606 \| good	0.215 \| good	20.887 \| good	0.384 \| good
2025-11-03T08:00:00.000Z	58 \| moderate	12.538 \| fine	44.728 \| good	9.996 \| good	0.357 \| good	17.248 \| good	0.299 \| good
2025-11-03T09:00:00.000Z	52 \| moderate	10.158 \| good	36.786 \| good	6.511 \| good	0.344 \| good	15.664 \| good	0.286 \| good
2025-11-03T10:00:00.000Z	44 \| good	7.977 \| good	39.066 \| good	4.035 \| good	0.282 \| good	15.654 \| good	0.291 \| good
2025-11-03T11:00:00.000Z	33 \| good	6.04 \| good	35.59 \| good	2.865 \| good	0.434 \| good	17.085 \| good	0.295 \| good
2025-11-03T12:00:00.000Z	44 \| good	8.282 \| good	37.737 \| good	2.83 \| good	0.714 \| good	18.254 \| good	0.358 \| good
2025-11-03T13:00:00.000Z	44 \| good	7.849 \| good	28.762 \| good	23.438 \| good	0.878 \| good	16.326 \| good	0.475 \| good
2025-11-03T14:00:00.000Z	58 \| moderate	12.51 \| fine	26.445 \| good	6.079 \| good	0.876 \| good	17.826 \| good	0.567 \| good
2025-11-03T15:00:00.000Z	58 \| moderate	13.232 \| fine	26.036 \| good	15.299 \| good	0.446 \| good	16.815 \| good	0.532 \| good
2025-11-03T16:00:00.000Z	54 \| moderate	11.084 \| good	26.648 \| good	14.733 \| good	0.53 \| good	14.801 \| good	0.42 \| good
2025-11-03T17:00:00.000Z	52 \| moderate	10.427 \| good	21.173 \| good	23.099 \| good	0.458 \| good	12.684 \| good	0.349 \| good
2025-11-03T18:00:00.000Z	33 \| good	5.701 \| good	20.869 \| good	27.144 \| good	0.387 \| good	9.743 \| good	0.268 \| good
2025-11-03T19:00:00.000Z	33 \| good	6.301 \| good	14.934 \| good	28.03 \| good	0.267 \| good	8.637 \| good	0.246 \| good
2025-11-03T20:00:00.000Z	33 \| good	6.301 \| good	14.934 \| good	28.03 \| good	0.267 \| good	8.637 \| good	0.246 \| good
2025-11-01T20:00:00.000Z	32 \| good	1.177 \| good	4.949 \| good	35.447 \| good	0.284 \| good	2.051 \| good	0.132 \| good
2025-11-01T21:00:00.000Z	33 \| good	1.497 \| good	5.992 \| good	35.831 \| good	0.283 \| good	2.426 \| good	0.135 \| good
2025-11-01T22:00:00.000Z	31 \| good	1.694 \| good	6.949 \| good	33.846 \| good	0.341 \| good	3.428 \| good	0.142 \| good
2025-11-01T23:00:00.000Z	30 \| good	2.536 \| good	10.511 \| good	31.841 \| good	0.4 \| good	4.429 \| good	0.15 \| good
2025-11-02T00:00:00.000Z	22 \| good	2.34 \| good	9.769 \| good	24.499 \| good	0.458 \| good	5.431 \| good	0.158 \| good
2025-11-02T01:00:00.000Z	22 \| good	2.493 \| good	10.321 \| good	24.029 \| good	0.499 \| good	5.826 \| good	0.161 \| good
2025-11-02T02:00:00.000Z	21 \| good	3.094 \| good	12.985 \| good	23.328 \| good	0.539 \| good	6.221 \| good	0.165 \| good
2025-11-02T03:00:00.000Z	19 \| good	3.439 \| good	15.339 \| good	21.116 \| good	0.58 \| good	6.615 \| good	0.168 \| good
2025-11-02T04:00:00.000Z	18 \| good	3.018 \| good	12.646 \| good	18.87 \| good	0.585 \| good	6.038 \| good	0.164 \| good
2025-11-02T05:00:00.000Z	17 \| good	3.389 \| good	14.704 \| good	18.068 \| good	0.59 \| good	5.462 \| good	0.161 \| good
2025-11-02T06:00:00.000Z	22 \| good	4.005 \| good	17.677 \| good	16.574 \| good	0.596 \| good	4.885 \| good	0.157 \| good
2025-11-02T07:00:00.000Z	27 \| good	4.608 \| good	19.914 \| good	14.995 \| good	0.624 \| good	4.682 \| good	0.155 \| good
2025-11-02T08:00:00.000Z	27 \| good	4.867 \| good	21.004 \| good	13.874 \| good	0.653 \| good	4.48 \| good	0.152 \| good
2025-11-02T09:00:00.000Z	22 \| good	4.358 \| good	18.951 \| good	10.799 \| good	0.682 \| good	4.277 \| good	0.15 \| good
2025-11-02T10:00:00.000Z	22 \| good	4.199 \| good	18.583 \| good	10.792 \| good	0.784 \| good	6.434 \| good	0.173 \| good
2025-11-02T11:00:00.000Z	22 \| good	4.107 \| good	17.927 \| good	11.578 \| good	0.886 \| good	8.591 \| good	0.195 \| good
2025-11-02T12:00:00.000Z	22 \| good	3.584 \| good	15.773 \| good	14.742 \| good	0.988 \| good	10.748 \| good	0.217 \| good
2025-11-02T13:00:00.000Z	21 \| good	3.278 \| good	14.035 \| good	22.585 \| good	0.888 \| good	8.131 \| good	0.196 \| good
2025-11-02T14:00:00.000Z	25 \| good	2.467 \| good	10.356 \| good	26.918 \| good	0.788 \| good	5.513 \| good	0.174 \| good
2025-11-02T15:00:00.000Z	27 \| good	2.241 \| good	9.255 \| good	29.396 \| good	0.688 \| good	2.896 \| good	0.152 \| good
2025-11-02T16:00:00.000Z	29 \| good	2.642 \| good	10.873 \| good	30.889 \| good	0.609 \| good	2.56 \| good	0.148 \| good
2025-11-02T17:00:00.000Z	30 \| good	3.341 \| good	14.407 \| good	32.458 \| good	0.53 \| good	2.224 \| good	0.144 \| good
2025-11-02T18:00:00.000Z	31 \| good	3.806 \| good	16.445 \| good	33.461 \| good	0.45 \| good	1.887 \| good	0.14 \| good
2025-11-02T19:00:00.000Z	31 \| good	3.562 \| good	15.932 \| good	34.208 \| good	0.49 \| good	2.661 \| good	0.145 \| good
2025-11-02T20:00:00.000Z	33 \| good	3.646 \| good	15.932 \| good	36.288 \| good	0.53 \| good	3.435 \| good	0.151 \| good
2025-11-02T21:00:00.000Z	31 \| good	4.603 \| good	20.085 \| good	33.01 \| good	0.57 \| good	4.209 \| good	0.156 \| good
2025-11-02T22:00:00.000Z	27 \| good	5.205 \| good	22.363 \| good	28.201 \| good	1.014 \| good	10.665 \| good	0.207 \| good
2025-11-02T23:00:00.000Z	33 \| good	6.365 \| good	28.409 \| good	24.296 \| good	1.457 \| good	17.122 \| good	0.257 \| good
2025-11-03T00:00:00.000Z	38 \| good	6.705 \| good	29.618 \| good	21.186 \| good	1.901 \| good	23.578 \| good	0.308 \| good
2025-11-03T01:00:00.000Z	38 \| good	7.253 \| good	32.133 \| good	21.022 \| good	2.282 \| good	24.573 \| good	0.308 \| good
2025-11-03T02:00:00.000Z	49 \| good	8.944 \| good	39.383 \| good	22.033 \| good	2.664 \| good	25.567 \| good	0.308 \| good
2025-11-03T03:00:00.000Z	52 \| moderate	10.212 \| good	45.484 \| good	19.127 \| good	3.045 \| good	26.562 \| good	0.307 \| good
2025-11-03T04:00:00.000Z	54 \| moderate	11.063 \| good	49.239 \| good	16.333 \| good	3.072 \| good	25.835 \| good	0.299 \| good
2025-11-03T05:00:00.000Z	54 \| moderate	10.84 \| good	48.035 \| good	13.945 \| good	3.099 \| good	25.108 \| good	0.29 \| good
2025-11-03T06:00:00.000Z	60 \| moderate	13.798 \| fine	61.861 \| fine	11.265 \| good	3.126 \| good	24.381 \| good	0.281 \| good
2025-11-03T07:00:00.000Z	64 \| moderate	16.332 \| fine	73.069 \| fine	8.548 \| good	3.104 \| good	23.175 \| good	0.27 \| good
2025-11-03T08:00:00.000Z	69 \| moderate	18.898 \| fine	83.309 \| fine	4.667 \| good	3.082 \| good	21.969 \| good	0.258 \| good
2025-11-03T09:00:00.000Z	75 \| moderate	22.127 \| fine	96.569 \| fine	2.756 \| good	3.059 \| good	20.762 \| good	0.246 \| good
2025-11-03T10:00:00.000Z	77 \| moderate	22.81 \| fine	100.228 \| fine	2.649 \| good	3.063 \| good	20.902 \| good	0.257 \| good
2025-11-03T11:00:00.000Z	81 \| moderate	24.688 \| fine	107.415 \| fine	1.343 \| good	3.067 \| good	21.042 \| good	0.268 \| good
2025-11-03T12:00:00.000Z	82 \| moderate	26.282 \| fine	113.979 \| fine	3.189 \| good	3.07 \| good	21.181 \| good	0.279 \| good
2025-11-03T13:00:00.000Z	77 \| moderate	22.973 \| fine	100.67 \| fine	16.724 \| good	2.984 \| good	17.513 \| good	0.253 \| good
2025-11-03T14:00:00.000Z	62 \| moderate	15.363 \| fine	68.616 \| fine	28.985 \| good	2.897 \| good	13.844 \| good	0.227 \| good
2025-11-03T15:00:00.000Z	54 \| moderate	11.07 \| good	48.904 \| good	33.586 \| good	2.81 \| good	10.176 \| good	0.2 \| good
2025-11-03T16:00:00.000Z	54 \| moderate	11.026 \| good	48.663 \| good	33.507 \| good	2.53 \| good	8.364 \| good	0.185 \| good
2025-11-03T17:00:00.000Z	49 \| good	9.294 \| good	41.234 \| good	36.386 \| good	2.249 \| good	6.551 \| good	0.17 \| good
2025-11-03T18:00:00.000Z	44 \| good	7.538 \| good	33.357 \| good	42.542 \| good	1.969 \| good	4.739 \| good	0.155 \| good
2025-11-03T19:00:00.000Z	42 \| good	6.529 \| good	29.283 \| good	45.316 \| good	1.893 \| good	5.481 \| good	0.158 \| good

Live air quality index in Monroe, Connecticut today

Major air pollutants in Monroe, Connecticut

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

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Shelton, Connecticut

Derby, Connecticut

Trumbull, Connecticut

Ansonia, Connecticut

Newtown, Connecticut

Seymour, Connecticut

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Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

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