What are the current PM10 levels at Waterbury, Connecticut?

The current PM10 levels in Waterbury, Connecticut are 13.996 μg/m3.

What are the current sulfur dioxide (SO2) levels at Waterbury, Connecticut?

The current sulfur dioxide (SO2) levels in Waterbury, Connecticut are 0.158 ppb.

What are the current ozone (O3) levels at Waterbury, Connecticut?

The current ozone (O3) levels at Waterbury, Connecticut is 29.895 ppm.

What are the current nitrogen dioxide (NO2) levels at Waterbury, Connecticut?

The current nitrogen dioxide (NO2) levels at Waterbury, Connecticut is 7.965 ppb.

Real-time air quality index in Waterbury, Connecticut today

Q: What are the current PM2.5 levels in Waterbury, Connecticut?

The measured PM2.5 levels in Waterbury, Connecticut at present are 4.799 μg/m3.

Stay updated with real-time air quality in Waterbury, 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

Waterbury, Connecticut

Last updated: ... (Local time)

Common air pollutants in Waterbury, Connecticut

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

4.40 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

8.01 μg/m³

155

255

425

605+

Ozone (O₃)

25.04 ppb

201

201+

Sulfur Dioxide (SO₂)

0.13 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

7.86 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.16 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Waterbury, Connecticut

Get Live Pollen Counts

Waterbury, Connecticut

Scroll To Air Quality Map

Track live Waterbury, Connecticut air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-11-02T04:00:00.000Z	22 \| good	3.81 \| good	6.001 \| good	20.424 \| good	0.297 \| good	9.721 \| good	0.206 \| good
2025-11-02T05:00:00.000Z	22 \| good	4.007 \| good	6.815 \| good	21.132 \| good	0.194 \| good	11.551 \| good	0.206 \| good
2025-11-02T06:00:00.000Z	22 \| good	4.007 \| good	6.815 \| good	20.365 \| good	0.157 \| good	12.18 \| good	0.206 \| good
2025-11-02T07:00:00.000Z	33 \| good	5.994 \| good	11.486 \| good	19.009 \| good	0.135 \| good	13.027 \| good	0.183 \| good
2025-11-02T08:00:00.000Z	38 \| good	6.635 \| good	12.886 \| good	17.953 \| good	0.143 \| good	14.467 \| good	0.223 \| good
2025-11-02T09:00:00.000Z	38 \| good	6.573 \| good	12.824 \| good	13.566 \| good	0.207 \| good	17.429 \| good	0.26 \| good
2025-11-02T10:00:00.000Z	38 \| good	6.573 \| good	12.824 \| good	8.878 \| good	0.192 \| good	19.082 \| good	0.26 \| good
2025-11-02T11:00:00.000Z	27 \| good	5.355 \| good	10.297 \| good	9.395 \| good	0.24 \| good	16.176 \| good	0.274 \| good
2025-11-02T12:00:00.000Z	27 \| good	4.744 \| good	8.675 \| good	7.138 \| good	0.245 \| good	13.618 \| good	0.327 \| good
2025-11-02T13:00:00.000Z	27 \| good	4.648 \| good	8.573 \| good	11.502 \| good	0.121 \| good	14.217 \| good	0.326 \| good
2025-11-02T14:00:00.000Z	22 \| good	4.435 \| good	7.747 \| good	9.63 \| good	0.249 \| good	12.5 \| good	0.244 \| good
2025-11-02T15:00:00.000Z	22 \| good	3.737 \| good	6.738 \| good	14.962 \| good	0.211 \| good	6.916 \| good	0.12 \| good
2025-11-02T16:00:00.000Z	16 \| good	3.356 \| good	5.801 \| good	14.034 \| good	0.214 \| good	3.328 \| good	0.113 \| good
2025-11-02T17:00:00.000Z	18 \| good	3.447 \| good	5.864 \| good	18.663 \| good	0.179 \| good	2.458 \| good	0.12 \| good
2025-11-02T18:00:00.000Z	22 \| good	3.456 \| good	5.896 \| good	24.074 \| good	0.156 \| good	2.318 \| good	0.129 \| good
2025-11-02T19:00:00.000Z	25 \| good	3.378 \| good	5.896 \| good	27.478 \| good	0.199 \| good	2.244 \| good	0.129 \| good
2025-11-02T20:00:00.000Z	28 \| good	3.399 \| good	6.022 \| good	29.732 \| good	0.16 \| good	2.082 \| good	0.139 \| good
2025-11-02T21:00:00.000Z	30 \| good	3.489 \| good	5.968 \| good	31.618 \| good	0.167 \| good	2.793 \| good	0.15 \| good
2025-11-02T22:00:00.000Z	29 \| good	3.677 \| good	6.094 \| good	30.929 \| good	0.124 \| good	5.559 \| good	0.15 \| good
2025-11-02T23:00:00.000Z	27 \| good	5.024 \| good	9.172 \| good	29.088 \| good	0.159 \| good	12.965 \| good	0.214 \| good
2025-11-03T00:00:00.000Z	38 \| good	6.994 \| good	11.674 \| good	26.455 \| good	0.297 \| good	19.335 \| good	0.469 \| good
2025-11-03T01:00:00.000Z	44 \| good	8.295 \| good	13.706 \| good	22.776 \| good	0.397 \| good	20.224 \| good	0.475 \| good
2025-11-03T02:00:00.000Z	49 \| good	9.3 \| good	14.853 \| good	18.756 \| good	0.396 \| good	21.316 \| good	0.433 \| good
2025-11-03T03:00:00.000Z	52 \| moderate	9.685 \| good	15.543 \| good	8.174 \| good	0.324 \| good	20.902 \| good	0.361 \| good
2025-11-03T04:00:00.000Z	52 \| moderate	9.724 \| good	15.395 \| good	10.42 \| good	0.283 \| good	19.275 \| good	0.342 \| good
2025-11-03T05:00:00.000Z	52 \| moderate	9.648 \| good	15.405 \| good	5.716 \| good	0.251 \| good	19.362 \| good	0.368 \| good
2025-11-03T06:00:00.000Z	52 \| moderate	10.169 \| good	16.48 \| good	4.937 \| good	0.3 \| good	22.381 \| good	0.354 \| good
2025-11-03T07:00:00.000Z	52 \| moderate	9.961 \| good	16.21 \| good	5.361 \| good	0.239 \| good	21.739 \| good	0.433 \| good
2025-11-03T08:00:00.000Z	54 \| moderate	10.836 \| good	17.857 \| good	4.55 \| good	0.358 \| good	18.019 \| good	0.307 \| good
2025-11-03T09:00:00.000Z	54 \| moderate	10.922 \| good	17.998 \| good	5.211 \| good	0.333 \| good	16.311 \| good	0.3 \| good
2025-11-03T10:00:00.000Z	54 \| moderate	10.503 \| good	17.012 \| good	4.53 \| good	0.272 \| good	16.271 \| good	0.31 \| good
2025-11-03T11:00:00.000Z	52 \| moderate	10.208 \| good	16.609 \| good	3.984 \| good	0.484 \| good	17.905 \| good	0.308 \| good
2025-11-03T12:00:00.000Z	52 \| moderate	9.991 \| good	16.505 \| good	4.619 \| good	0.641 \| good	20.362 \| good	0.341 \| good
2025-11-03T13:00:00.000Z	52 \| moderate	9.744 \| good	16.181 \| good	9.414 \| good	0.772 \| good	16.87 \| good	0.454 \| good
2025-11-03T14:00:00.000Z	52 \| moderate	10.241 \| good	17.404 \| good	13.413 \| good	0.735 \| good	18.262 \| good	0.506 \| good
2025-11-03T15:00:00.000Z	54 \| moderate	10.959 \| good	18.802 \| good	13.014 \| good	0.511 \| good	17.831 \| good	0.511 \| good
2025-11-03T16:00:00.000Z	54 \| moderate	11.296 \| good	22.418 \| good	12.039 \| good	0.495 \| good	15.246 \| good	0.491 \| good
2025-11-03T17:00:00.000Z	49 \| good	9.446 \| good	22.978 \| good	20.523 \| good	0.323 \| good	14.678 \| good	0.42 \| good
2025-11-03T18:00:00.000Z	38 \| good	7.135 \| good	19.038 \| good	24.266 \| good	0.285 \| good	11.982 \| good	0.266 \| good
2025-11-03T19:00:00.000Z	33 \| good	5.892 \| good	17.936 \| good	23.826 \| good	0.209 \| good	10.178 \| good	0.229 \| good
2025-11-03T20:00:00.000Z	33 \| good	5.55 \| good	17.794 \| good	31.728 \| good	0.195 \| good	11.888 \| good	0.266 \| good
2025-11-03T21:00:00.000Z	27 \| good	4.934 \| good	15.71 \| good	28.309 \| good	0.22 \| good	12.535 \| good	0.229 \| good
2025-11-03T22:00:00.000Z	30 \| good	4.802 \| good	13.804 \| good	31.921 \| good	0.158 \| good	9.323 \| good	0.242 \| good
2025-11-03T23:00:00.000Z	28 \| good	4.802 \| good	13.804 \| good	29.955 \| good	0.158 \| good	8.523 \| good	0.233 \| good
2025-11-04T00:00:00.000Z	28 \| good	4.513 \| good	10.031 \| good	29.858 \| good	0.268 \| good	8.667 \| good	0.243 \| good
2025-11-04T01:00:00.000Z	27 \| good	4.642 \| good	10.041 \| good	29.124 \| good	0.462 \| good	12.09 \| good	0.24 \| good
2025-11-04T02:00:00.000Z	31 \| good	4.971 \| good	9.946 \| good	32.973 \| good	0.23 \| good	10.184 \| good	0.197 \| good
2025-11-04T03:00:00.000Z	24 \| good	4.414 \| good	8.157 \| good	25.52 \| good	0.138 \| good	8.187 \| good	0.157 \| good
2025-11-04T03:00:00.000Z	23 \| good	4.401 \| good	8.005 \| good	25.036 \| good	0.133 \| good	7.859 \| good	0.156 \| good
2025-11-04T01:00:00.000Z	36 \| good	5.045 \| good	21.8 \| good	38.865 \| good	2.059 \| good	9.832 \| good	0.172 \| good
2025-11-04T02:00:00.000Z	34 \| good	3.369 \| good	14.922 \| good	36.549 \| good	2.115 \| good	7.926 \| good	0.166 \| good
2025-11-04T03:00:00.000Z	32 \| good	2.496 \| good	10.027 \| good	34.685 \| good	2.17 \| good	6.021 \| good	0.16 \| good
2025-11-04T04:00:00.000Z	30 \| good	2.296 \| good	9.481 \| good	32.384 \| good	1.663 \| good	4.635 \| good	0.153 \| good
2025-11-04T05:00:00.000Z	30 \| good	2.091 \| good	8.719 \| good	32.285 \| good	1.156 \| good	3.249 \| good	0.146 \| good
2025-11-04T06:00:00.000Z	30 \| good	2.278 \| good	9.48 \| good	32.486 \| good	0.648 \| good	1.863 \| good	0.139 \| good
2025-11-04T07:00:00.000Z	31 \| good	2.519 \| good	10.02 \| good	32.878 \| good	0.59 \| good	1.626 \| good	0.136 \| good
2025-11-04T08:00:00.000Z	30 \| good	2.523 \| good	10.02 \| good	32.287 \| good	0.532 \| good	1.389 \| good	0.132 \| good
2025-11-04T09:00:00.000Z	29 \| good	2.327 \| good	9.712 \| good	30.553 \| good	0.474 \| good	1.152 \| good	0.129 \| good
2025-11-04T10:00:00.000Z	28 \| good	1.505 \| good	5.935 \| good	30.157 \| good	0.489 \| good	1.469 \| good	0.131 \| good
2025-11-04T11:00:00.000Z	29 \| good	1.089 \| good	4.329 \| good	30.5 \| good	0.505 \| good	1.786 \| good	0.133 \| good
2025-11-04T12:00:00.000Z	27 \| good	1.041 \| good	4.125 \| good	28.527 \| good	0.52 \| good	2.103 \| good	0.135 \| good
2025-11-04T13:00:00.000Z	27 \| good	1.138 \| good	4.692 \| good	28.905 \| good	0.485 \| good	1.747 \| good	0.134 \| good
2025-11-04T14:00:00.000Z	28 \| good	0.512 \| good	2 \| good	29.642 \| good	0.449 \| good	1.392 \| good	0.133 \| good
2025-11-04T15:00:00.000Z	28 \| good	0.374 \| good	1.514 \| good	30.131 \| good	0.414 \| good	1.036 \| good	0.131 \| good
2025-11-04T16:00:00.000Z	29 \| good	0.467 \| good	1.935 \| good	30.898 \| good	0.42 \| good	0.982 \| good	0.128 \| good
2025-11-04T17:00:00.000Z	30 \| good	0.174 \| good	0.233 \| good	31.705 \| good	0.427 \| good	0.929 \| good	0.124 \| good
2025-11-04T18:00:00.000Z	30 \| good	0.36 \| good	1.394 \| good	32.349 \| good	0.433 \| good	0.875 \| good	0.12 \| good
2025-11-04T19:00:00.000Z	30 \| good	0.608 \| good	2.097 \| good	31.875 \| good	0.448 \| good	1.247 \| good	0.122 \| good
2025-11-04T20:00:00.000Z	29 \| good	1.117 \| good	4.545 \| good	31.302 \| good	0.463 \| good	1.62 \| good	0.124 \| good
2025-11-04T21:00:00.000Z	29 \| good	2 \| good	8.033 \| good	31.232 \| good	0.479 \| good	1.992 \| good	0.126 \| good
2025-11-04T22:00:00.000Z	28 \| good	2.895 \| good	12 \| good	30.219 \| good	0.532 \| good	3.018 \| good	0.136 \| good
2025-11-04T23:00:00.000Z	27 \| good	3.926 \| good	17.283 \| good	28.644 \| good	0.586 \| good	4.045 \| good	0.146 \| good
2025-11-05T00:00:00.000Z	25 \| good	4.196 \| good	18.449 \| good	27.171 \| good	0.64 \| good	5.071 \| good	0.155 \| good
2025-11-05T01:00:00.000Z	27 \| good	4.638 \| good	20.469 \| good	25.415 \| good	0.677 \| good	5.179 \| good	0.158 \| good
2025-11-05T02:00:00.000Z	27 \| good	5.434 \| good	23.418 \| good	22.33 \| good	0.715 \| good	5.287 \| good	0.16 \| good
2025-11-05T03:00:00.000Z	33 \| good	6.036 \| good	26.855 \| good	19.409 \| good	0.752 \| good	5.395 \| good	0.163 \| good
2025-11-05T04:00:00.000Z	27 \| good	4.709 \| good	20.446 \| good	18.727 \| good	0.749 \| good	4.84 \| good	0.158 \| good
2025-11-05T05:00:00.000Z	22 \| good	3.793 \| good	16.561 \| good	18.945 \| good	0.745 \| good	4.285 \| good	0.154 \| good
2025-11-05T06:00:00.000Z	22 \| good	4.206 \| good	18.539 \| good	18.795 \| good	0.742 \| good	3.731 \| good	0.149 \| good
2025-11-05T07:00:00.000Z	27 \| good	4.893 \| good	20.95 \| good	18.073 \| good	0.745 \| good	3.619 \| good	0.147 \| good
2025-11-05T08:00:00.000Z	27 \| good	4.576 \| good	19.939 \| good	16.541 \| good	0.748 \| good	3.508 \| good	0.145 \| good
2025-11-05T09:00:00.000Z	27 \| good	4.867 \| good	21.191 \| good	13.11 \| good	0.752 \| good	3.397 \| good	0.143 \| good
2025-11-05T10:00:00.000Z	27 \| good	4.651 \| good	20.221 \| good	13.045 \| good	0.838 \| good	5.83 \| good	0.164 \| good
2025-11-05T11:00:00.000Z	22 \| good	4.454 \| good	19.316 \| good	12.392 \| good	0.924 \| good	8.262 \| good	0.184 \| good
2025-11-05T12:00:00.000Z	22 \| good	4.467 \| good	19.283 \| good	14.036 \| good	1.01 \| good	10.695 \| good	0.204 \| good
2025-11-05T13:00:00.000Z	22 \| good	4.393 \| good	19.237 \| good	19.113 \| good	1.13 \| good	9.781 \| good	0.199 \| good
2025-11-05T14:00:00.000Z	22 \| good	4.39 \| good	19.142 \| good	20.661 \| good	1.251 \| good	8.868 \| good	0.194 \| good
2025-11-05T15:00:00.000Z	33 \| good	5.999 \| good	26.369 \| good	22.4 \| good	1.372 \| good	7.955 \| good	0.19 \| good
2025-11-05T16:00:00.000Z	33 \| good	5.826 \| good	25.351 \| good	26.65 \| good	1.905 \| good	8.749 \| good	0.185 \| good
2025-11-05T17:00:00.000Z	33 \| good	5.56 \| good	23.879 \| good	32.515 \| good	2.438 \| good	9.544 \| good	0.181 \| good
2025-11-05T18:00:00.000Z	33 \| good	6.439 \| good	28.636 \| good	36.406 \| good	2.971 \| good	10.339 \| good	0.176 \| good
2025-11-05T19:00:00.000Z	44 \| good	7.599 \| good	33.681 \| good	36.013 \| good	2.873 \| good	9.453 \| good	0.174 \| good
2025-11-05T20:00:00.000Z	44 \| good	7.51 \| good	33.092 \| good	34.793 \| good	2.776 \| good	8.567 \| good	0.171 \| good
2025-11-05T21:00:00.000Z	38 \| good	7.234 \| good	32 \| good	35.533 \| good	2.678 \| good	7.681 \| good	0.168 \| good
2025-11-05T22:00:00.000Z	44 \| good	7.605 \| good	33.396 \| good	35.814 \| good	2.859 \| good	8.045 \| good	0.173 \| good
2025-11-05T23:00:00.000Z	44 \| good	8.288 \| good	36.207 \| good	32.538 \| good	3.04 \| good	8.409 \| good	0.177 \| good
2025-11-06T00:00:00.000Z	49 \| good	8.559 \| good	8.682 \| good	37.002 \| good	3.226 \| good	8.782 \| good	0.182 \| good

Waterbury

Empower business decisions with accurate air quality data

Waterbury, Connecticut air quality map: Real-time AQI near you

0.25ppm

How accurate is Connecticut, USA air quality data?

Air quality measurements for Connecticut, USA 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

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Frequently asked questions

How frequently is the air quality data for Waterbury, Connecticut updated?

Air quality data for Waterbury, Connecticut is updated on an hourly basis.

When did Waterbury, Connecticut experience the worst air quality in the last 24 hours?

The worst air quality in Waterbury, Connecticut was recorded at 04:00:00 on 2025-11-03.

When did Waterbury, Connecticut have its best air quality in the last 24 hours?

The best air quality in Waterbury, Connecticut was recorded at 09:00:00 on 2025-11-03.

What is the real-time air quality index for Waterbury, Connecticut?

The real-time air quality index in Waterbury, Connecticut is 28, currently categorized as Good.

Which pollutant is found most often in Waterbury, Connecticut?

The most common pollutant in Waterbury, Connecticut is O3.

What can I do if the air quality in Waterbury, Connecticut is poor?

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

What are the current PM_2.5 levels in Waterbury, Connecticut?

The measured PM_2.5 levels in Waterbury, Connecticut at present are 4.799 μg/m³.

What are the current PM₁₀ levels at Waterbury, Connecticut?

The current PM₁₀ levels in Waterbury, Connecticut are 13.996 μg/m³.

What are the current carbon monoxide (CO) levels at Waterbury, Connecticut?

The current carbon monoxide (CO) level in Waterbury, Connecticut is 0.232 ppm.

What are the current sulfur dioxide (SO₂) levels at Waterbury, Connecticut?

The current sulfur dioxide (SO₂) levels in Waterbury, Connecticut are 0.158 ppb.

What are the current ozone (O₃) levels at Waterbury, Connecticut?

The current ozone (O₃) levels at Waterbury, Connecticut is 29.895 ppm.

What are the current nitrogen dioxide (NO₂) levels at Waterbury, Connecticut?

The current nitrogen dioxide (NO₂) levels at Waterbury, Connecticut is 7.965 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-11-02T04:00:00.000Z	22 \| good	3.81 \| good	6.001 \| good	20.424 \| good	0.297 \| good	9.721 \| good	0.206 \| good
2025-11-02T05:00:00.000Z	22 \| good	4.007 \| good	6.815 \| good	21.132 \| good	0.194 \| good	11.551 \| good	0.206 \| good
2025-11-02T06:00:00.000Z	22 \| good	4.007 \| good	6.815 \| good	20.365 \| good	0.157 \| good	12.18 \| good	0.206 \| good
2025-11-02T07:00:00.000Z	33 \| good	5.994 \| good	11.486 \| good	19.009 \| good	0.135 \| good	13.027 \| good	0.183 \| good
2025-11-02T08:00:00.000Z	38 \| good	6.635 \| good	12.886 \| good	17.953 \| good	0.143 \| good	14.467 \| good	0.223 \| good
2025-11-02T09:00:00.000Z	38 \| good	6.573 \| good	12.824 \| good	13.566 \| good	0.207 \| good	17.429 \| good	0.26 \| good
2025-11-02T10:00:00.000Z	38 \| good	6.573 \| good	12.824 \| good	8.878 \| good	0.192 \| good	19.082 \| good	0.26 \| good
2025-11-02T11:00:00.000Z	27 \| good	5.355 \| good	10.297 \| good	9.395 \| good	0.24 \| good	16.176 \| good	0.274 \| good
2025-11-02T12:00:00.000Z	27 \| good	4.744 \| good	8.675 \| good	7.138 \| good	0.245 \| good	13.618 \| good	0.327 \| good
2025-11-02T13:00:00.000Z	27 \| good	4.648 \| good	8.573 \| good	11.502 \| good	0.121 \| good	14.217 \| good	0.326 \| good
2025-11-02T14:00:00.000Z	22 \| good	4.435 \| good	7.747 \| good	9.63 \| good	0.249 \| good	12.5 \| good	0.244 \| good
2025-11-02T15:00:00.000Z	22 \| good	3.737 \| good	6.738 \| good	14.962 \| good	0.211 \| good	6.916 \| good	0.12 \| good
2025-11-02T16:00:00.000Z	16 \| good	3.356 \| good	5.801 \| good	14.034 \| good	0.214 \| good	3.328 \| good	0.113 \| good
2025-11-02T17:00:00.000Z	18 \| good	3.447 \| good	5.864 \| good	18.663 \| good	0.179 \| good	2.458 \| good	0.12 \| good
2025-11-02T18:00:00.000Z	22 \| good	3.456 \| good	5.896 \| good	24.074 \| good	0.156 \| good	2.318 \| good	0.129 \| good
2025-11-02T19:00:00.000Z	25 \| good	3.378 \| good	5.896 \| good	27.478 \| good	0.199 \| good	2.244 \| good	0.129 \| good
2025-11-02T20:00:00.000Z	28 \| good	3.399 \| good	6.022 \| good	29.732 \| good	0.16 \| good	2.082 \| good	0.139 \| good
2025-11-02T21:00:00.000Z	30 \| good	3.489 \| good	5.968 \| good	31.618 \| good	0.167 \| good	2.793 \| good	0.15 \| good
2025-11-02T22:00:00.000Z	29 \| good	3.677 \| good	6.094 \| good	30.929 \| good	0.124 \| good	5.559 \| good	0.15 \| good
2025-11-02T23:00:00.000Z	27 \| good	5.024 \| good	9.172 \| good	29.088 \| good	0.159 \| good	12.965 \| good	0.214 \| good
2025-11-03T00:00:00.000Z	38 \| good	6.994 \| good	11.674 \| good	26.455 \| good	0.297 \| good	19.335 \| good	0.469 \| good
2025-11-03T01:00:00.000Z	44 \| good	8.295 \| good	13.706 \| good	22.776 \| good	0.397 \| good	20.224 \| good	0.475 \| good
2025-11-03T02:00:00.000Z	49 \| good	9.3 \| good	14.853 \| good	18.756 \| good	0.396 \| good	21.316 \| good	0.433 \| good
2025-11-03T03:00:00.000Z	52 \| moderate	9.685 \| good	15.543 \| good	8.174 \| good	0.324 \| good	20.902 \| good	0.361 \| good
2025-11-03T04:00:00.000Z	52 \| moderate	9.724 \| good	15.395 \| good	10.42 \| good	0.283 \| good	19.275 \| good	0.342 \| good
2025-11-03T05:00:00.000Z	52 \| moderate	9.648 \| good	15.405 \| good	5.716 \| good	0.251 \| good	19.362 \| good	0.368 \| good
2025-11-03T06:00:00.000Z	52 \| moderate	10.169 \| good	16.48 \| good	4.937 \| good	0.3 \| good	22.381 \| good	0.354 \| good
2025-11-03T07:00:00.000Z	52 \| moderate	9.961 \| good	16.21 \| good	5.361 \| good	0.239 \| good	21.739 \| good	0.433 \| good
2025-11-03T08:00:00.000Z	54 \| moderate	10.836 \| good	17.857 \| good	4.55 \| good	0.358 \| good	18.019 \| good	0.307 \| good
2025-11-03T09:00:00.000Z	54 \| moderate	10.922 \| good	17.998 \| good	5.211 \| good	0.333 \| good	16.311 \| good	0.3 \| good
2025-11-03T10:00:00.000Z	54 \| moderate	10.503 \| good	17.012 \| good	4.53 \| good	0.272 \| good	16.271 \| good	0.31 \| good
2025-11-03T11:00:00.000Z	52 \| moderate	10.208 \| good	16.609 \| good	3.984 \| good	0.484 \| good	17.905 \| good	0.308 \| good
2025-11-03T12:00:00.000Z	52 \| moderate	9.991 \| good	16.505 \| good	4.619 \| good	0.641 \| good	20.362 \| good	0.341 \| good
2025-11-03T13:00:00.000Z	52 \| moderate	9.744 \| good	16.181 \| good	9.414 \| good	0.772 \| good	16.87 \| good	0.454 \| good
2025-11-03T14:00:00.000Z	52 \| moderate	10.241 \| good	17.404 \| good	13.413 \| good	0.735 \| good	18.262 \| good	0.506 \| good
2025-11-03T15:00:00.000Z	54 \| moderate	10.959 \| good	18.802 \| good	13.014 \| good	0.511 \| good	17.831 \| good	0.511 \| good
2025-11-03T16:00:00.000Z	54 \| moderate	11.296 \| good	22.418 \| good	12.039 \| good	0.495 \| good	15.246 \| good	0.491 \| good
2025-11-03T17:00:00.000Z	49 \| good	9.446 \| good	22.978 \| good	20.523 \| good	0.323 \| good	14.678 \| good	0.42 \| good
2025-11-03T18:00:00.000Z	38 \| good	7.135 \| good	19.038 \| good	24.266 \| good	0.285 \| good	11.982 \| good	0.266 \| good
2025-11-03T19:00:00.000Z	33 \| good	5.892 \| good	17.936 \| good	23.826 \| good	0.209 \| good	10.178 \| good	0.229 \| good
2025-11-03T20:00:00.000Z	33 \| good	5.55 \| good	17.794 \| good	31.728 \| good	0.195 \| good	11.888 \| good	0.266 \| good
2025-11-03T21:00:00.000Z	27 \| good	4.934 \| good	15.71 \| good	28.309 \| good	0.22 \| good	12.535 \| good	0.229 \| good
2025-11-03T22:00:00.000Z	30 \| good	4.802 \| good	13.804 \| good	31.921 \| good	0.158 \| good	9.323 \| good	0.242 \| good
2025-11-03T23:00:00.000Z	28 \| good	4.802 \| good	13.804 \| good	29.955 \| good	0.158 \| good	8.523 \| good	0.233 \| good
2025-11-04T00:00:00.000Z	28 \| good	4.513 \| good	10.031 \| good	29.858 \| good	0.268 \| good	8.667 \| good	0.243 \| good
2025-11-04T01:00:00.000Z	27 \| good	4.642 \| good	10.041 \| good	29.124 \| good	0.462 \| good	12.09 \| good	0.24 \| good
2025-11-04T02:00:00.000Z	31 \| good	4.971 \| good	9.946 \| good	32.973 \| good	0.23 \| good	10.184 \| good	0.197 \| good
2025-11-04T03:00:00.000Z	24 \| good	4.414 \| good	8.157 \| good	25.52 \| good	0.138 \| good	8.187 \| good	0.157 \| good
2025-11-04T03:00:00.000Z	23 \| good	4.401 \| good	8.005 \| good	25.036 \| good	0.133 \| good	7.859 \| good	0.156 \| good
2025-11-04T01:00:00.000Z	36 \| good	5.045 \| good	21.8 \| good	38.865 \| good	2.059 \| good	9.832 \| good	0.172 \| good
2025-11-04T02:00:00.000Z	34 \| good	3.369 \| good	14.922 \| good	36.549 \| good	2.115 \| good	7.926 \| good	0.166 \| good
2025-11-04T03:00:00.000Z	32 \| good	2.496 \| good	10.027 \| good	34.685 \| good	2.17 \| good	6.021 \| good	0.16 \| good
2025-11-04T04:00:00.000Z	30 \| good	2.296 \| good	9.481 \| good	32.384 \| good	1.663 \| good	4.635 \| good	0.153 \| good
2025-11-04T05:00:00.000Z	30 \| good	2.091 \| good	8.719 \| good	32.285 \| good	1.156 \| good	3.249 \| good	0.146 \| good
2025-11-04T06:00:00.000Z	30 \| good	2.278 \| good	9.48 \| good	32.486 \| good	0.648 \| good	1.863 \| good	0.139 \| good
2025-11-04T07:00:00.000Z	31 \| good	2.519 \| good	10.02 \| good	32.878 \| good	0.59 \| good	1.626 \| good	0.136 \| good
2025-11-04T08:00:00.000Z	30 \| good	2.523 \| good	10.02 \| good	32.287 \| good	0.532 \| good	1.389 \| good	0.132 \| good
2025-11-04T09:00:00.000Z	29 \| good	2.327 \| good	9.712 \| good	30.553 \| good	0.474 \| good	1.152 \| good	0.129 \| good
2025-11-04T10:00:00.000Z	28 \| good	1.505 \| good	5.935 \| good	30.157 \| good	0.489 \| good	1.469 \| good	0.131 \| good
2025-11-04T11:00:00.000Z	29 \| good	1.089 \| good	4.329 \| good	30.5 \| good	0.505 \| good	1.786 \| good	0.133 \| good
2025-11-04T12:00:00.000Z	27 \| good	1.041 \| good	4.125 \| good	28.527 \| good	0.52 \| good	2.103 \| good	0.135 \| good
2025-11-04T13:00:00.000Z	27 \| good	1.138 \| good	4.692 \| good	28.905 \| good	0.485 \| good	1.747 \| good	0.134 \| good
2025-11-04T14:00:00.000Z	28 \| good	0.512 \| good	2 \| good	29.642 \| good	0.449 \| good	1.392 \| good	0.133 \| good
2025-11-04T15:00:00.000Z	28 \| good	0.374 \| good	1.514 \| good	30.131 \| good	0.414 \| good	1.036 \| good	0.131 \| good
2025-11-04T16:00:00.000Z	29 \| good	0.467 \| good	1.935 \| good	30.898 \| good	0.42 \| good	0.982 \| good	0.128 \| good
2025-11-04T17:00:00.000Z	30 \| good	0.174 \| good	0.233 \| good	31.705 \| good	0.427 \| good	0.929 \| good	0.124 \| good
2025-11-04T18:00:00.000Z	30 \| good	0.36 \| good	1.394 \| good	32.349 \| good	0.433 \| good	0.875 \| good	0.12 \| good
2025-11-04T19:00:00.000Z	30 \| good	0.608 \| good	2.097 \| good	31.875 \| good	0.448 \| good	1.247 \| good	0.122 \| good
2025-11-04T20:00:00.000Z	29 \| good	1.117 \| good	4.545 \| good	31.302 \| good	0.463 \| good	1.62 \| good	0.124 \| good
2025-11-04T21:00:00.000Z	29 \| good	2 \| good	8.033 \| good	31.232 \| good	0.479 \| good	1.992 \| good	0.126 \| good
2025-11-04T22:00:00.000Z	28 \| good	2.895 \| good	12 \| good	30.219 \| good	0.532 \| good	3.018 \| good	0.136 \| good
2025-11-04T23:00:00.000Z	27 \| good	3.926 \| good	17.283 \| good	28.644 \| good	0.586 \| good	4.045 \| good	0.146 \| good
2025-11-05T00:00:00.000Z	25 \| good	4.196 \| good	18.449 \| good	27.171 \| good	0.64 \| good	5.071 \| good	0.155 \| good
2025-11-05T01:00:00.000Z	27 \| good	4.638 \| good	20.469 \| good	25.415 \| good	0.677 \| good	5.179 \| good	0.158 \| good
2025-11-05T02:00:00.000Z	27 \| good	5.434 \| good	23.418 \| good	22.33 \| good	0.715 \| good	5.287 \| good	0.16 \| good
2025-11-05T03:00:00.000Z	33 \| good	6.036 \| good	26.855 \| good	19.409 \| good	0.752 \| good	5.395 \| good	0.163 \| good
2025-11-05T04:00:00.000Z	27 \| good	4.709 \| good	20.446 \| good	18.727 \| good	0.749 \| good	4.84 \| good	0.158 \| good
2025-11-05T05:00:00.000Z	22 \| good	3.793 \| good	16.561 \| good	18.945 \| good	0.745 \| good	4.285 \| good	0.154 \| good
2025-11-05T06:00:00.000Z	22 \| good	4.206 \| good	18.539 \| good	18.795 \| good	0.742 \| good	3.731 \| good	0.149 \| good
2025-11-05T07:00:00.000Z	27 \| good	4.893 \| good	20.95 \| good	18.073 \| good	0.745 \| good	3.619 \| good	0.147 \| good
2025-11-05T08:00:00.000Z	27 \| good	4.576 \| good	19.939 \| good	16.541 \| good	0.748 \| good	3.508 \| good	0.145 \| good
2025-11-05T09:00:00.000Z	27 \| good	4.867 \| good	21.191 \| good	13.11 \| good	0.752 \| good	3.397 \| good	0.143 \| good
2025-11-05T10:00:00.000Z	27 \| good	4.651 \| good	20.221 \| good	13.045 \| good	0.838 \| good	5.83 \| good	0.164 \| good
2025-11-05T11:00:00.000Z	22 \| good	4.454 \| good	19.316 \| good	12.392 \| good	0.924 \| good	8.262 \| good	0.184 \| good
2025-11-05T12:00:00.000Z	22 \| good	4.467 \| good	19.283 \| good	14.036 \| good	1.01 \| good	10.695 \| good	0.204 \| good
2025-11-05T13:00:00.000Z	22 \| good	4.393 \| good	19.237 \| good	19.113 \| good	1.13 \| good	9.781 \| good	0.199 \| good
2025-11-05T14:00:00.000Z	22 \| good	4.39 \| good	19.142 \| good	20.661 \| good	1.251 \| good	8.868 \| good	0.194 \| good
2025-11-05T15:00:00.000Z	33 \| good	5.999 \| good	26.369 \| good	22.4 \| good	1.372 \| good	7.955 \| good	0.19 \| good
2025-11-05T16:00:00.000Z	33 \| good	5.826 \| good	25.351 \| good	26.65 \| good	1.905 \| good	8.749 \| good	0.185 \| good
2025-11-05T17:00:00.000Z	33 \| good	5.56 \| good	23.879 \| good	32.515 \| good	2.438 \| good	9.544 \| good	0.181 \| good
2025-11-05T18:00:00.000Z	33 \| good	6.439 \| good	28.636 \| good	36.406 \| good	2.971 \| good	10.339 \| good	0.176 \| good
2025-11-05T19:00:00.000Z	44 \| good	7.599 \| good	33.681 \| good	36.013 \| good	2.873 \| good	9.453 \| good	0.174 \| good
2025-11-05T20:00:00.000Z	44 \| good	7.51 \| good	33.092 \| good	34.793 \| good	2.776 \| good	8.567 \| good	0.171 \| good
2025-11-05T21:00:00.000Z	38 \| good	7.234 \| good	32 \| good	35.533 \| good	2.678 \| good	7.681 \| good	0.168 \| good
2025-11-05T22:00:00.000Z	44 \| good	7.605 \| good	33.396 \| good	35.814 \| good	2.859 \| good	8.045 \| good	0.173 \| good
2025-11-05T23:00:00.000Z	44 \| good	8.288 \| good	36.207 \| good	32.538 \| good	3.04 \| good	8.409 \| good	0.177 \| good
2025-11-06T00:00:00.000Z	49 \| good	8.559 \| good	8.682 \| good	37.002 \| good	3.226 \| good	8.782 \| good	0.182 \| good

Real-time air quality index in Waterbury, Connecticut today

Common air pollutants in Waterbury, Connecticut

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Waterbury, Connecticut air quality forecast and history

Empower business decisions with accurate air quality data

Waterbury, Connecticut air quality map: Real-time AQI near you

Air quality in nearby cities

Wolcott, Connecticut

Watertown, Connecticut

Naugatuck, Connecticut

Plymouth, Connecticut

Cheshire, Connecticut

Oxford, Connecticut

How accurate is Connecticut, USA air quality data?

Air quality levels in US

Frequently asked questions

How frequently is the air quality data for Waterbury, Connecticut updated?

When did Waterbury, Connecticut experience the worst air quality in the last 24 hours?

When did Waterbury, Connecticut have its best air quality in the last 24 hours?

What is the real-time air quality index for Waterbury, Connecticut?

Which pollutant is found most often in Waterbury, Connecticut?

What can I do if the air quality in Waterbury, Connecticut is poor?

What are the current PM2.5 levels in Waterbury, Connecticut?

What are the current PM10 levels at Waterbury, Connecticut?

What are the current carbon monoxide (CO) levels at Waterbury, Connecticut?

What are the current sulfur dioxide (SO2) levels at Waterbury, Connecticut?

What are the current ozone (O3) levels at Waterbury, Connecticut?

What are the current nitrogen dioxide (NO2) levels at Waterbury, Connecticut?

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 Waterbury, Connecticut?

What are the current PM₁₀ levels at Waterbury, Connecticut?

What are the current sulfur dioxide (SO₂) levels at Waterbury, Connecticut?

What are the current ozone (O₃) levels at Waterbury, Connecticut?

What are the current nitrogen dioxide (NO₂) levels at Waterbury, Connecticut?