What is the current level of PM10 in Watertown, Connecticut?

Watertown, Connecticut currently has a PM10 concentration of 10.284 μg/m3.

What is the current level of sulfur dioxide (SO2) in Watertown, Connecticut?

The current sulfur dioxide (SO2) concentration in Watertown, Connecticut is 0.225 ppb.

What is the current level of ozone (O3) in Watertown, Connecticut?

Watertown, Connecticut currently has an ozone (O3) concentration of 40.757 ppm.

What is the current level of nitrogen dioxide (NO2) in Watertown, Connecticut?

The current level of nitrogen dioxide (NO2) in Watertown, Connecticut is 7.63 ppb.

Current air quality index in Watertown, Connecticut today

Name: Live air pollution levels in Watertown, Connecticut today
Creator: Ambee

Stay updated with real-time air quality in Watertown, 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

Watertown, Connecticut

Last updated: ... (Local time)

Common air pollutants in Watertown, Connecticut

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

7.57 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

15.05 μg/m³

155

255

425

605+

Ozone (O₃)

43.58 ppb

201

201+

Sulfur Dioxide (SO₂)

0.17 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

4.45 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.22 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Looks like we don't have this data available right now

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Watertown, Connecticut

Scroll To Air Quality Map

Track live Watertown, Connecticut air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-09-12T01:00:00.000Z	31 \| good	4.974 \| good	12.235 \| good	34.494 \| good	0.182 \| good	16.849 \| good	0.382 \| good
2025-09-12T02:00:00.000Z	33 \| good	5.554 \| good	13.163 \| good	32.151 \| good	0.231 \| good	23.958 \| good	0.475 \| good
2025-09-12T03:00:00.000Z	54 \| moderate	10.708 \| good	47.543 \| good	16.789 \| good	1.04 \| good	26.228 \| good	0.43 \| good
2025-09-12T04:00:00.000Z	33 \| good	6.049 \| good	12.974 \| good	25.783 \| good	0.204 \| good	23.262 \| good	0.417 \| good
2025-09-12T05:00:00.000Z	33 \| good	6.331 \| good	13.361 \| good	19 \| good	0.174 \| good	23.487 \| good	0.361 \| good
2025-09-12T06:00:00.000Z	33 \| good	5.991 \| good	13.38 \| good	30.241 \| good	0.372 \| good	14.386 \| good	0.297 \| good
2025-09-12T07:00:00.000Z	33 \| good	5.806 \| good	11.699 \| good	20.683 \| good	0.215 \| good	13.582 \| good	0.297 \| good
2025-09-12T08:00:00.000Z	33 \| good	5.698 \| good	12.219 \| good	19.173 \| good	0.199 \| good	10.567 \| good	0.265 \| good
2025-09-12T09:00:00.000Z	33 \| good	5.762 \| good	12.343 \| good	19.894 \| good	0.148 \| good	7.46 \| good	0.245 \| good
2025-09-12T10:00:00.000Z	33 \| good	5.754 \| good	12.659 \| good	20.764 \| good	0.202 \| good	9.122 \| good	0.233 \| good
2025-09-12T11:00:00.000Z	33 \| good	5.859 \| good	12.575 \| good	17.915 \| good	0.337 \| good	11.64 \| good	0.234 \| good
2025-09-12T12:00:00.000Z	33 \| good	5.934 \| good	13.918 \| good	19.299 \| good	0.139 \| good	14.375 \| good	0.266 \| good
2025-09-12T13:00:00.000Z	33 \| good	6.016 \| good	13.854 \| good	17.398 \| good	0.142 \| good	8.736 \| good	0.246 \| good
2025-09-12T14:00:00.000Z	33 \| good	6.067 \| good	14.479 \| good	20.509 \| good	0.135 \| good	5.035 \| good	0.17 \| good
2025-09-12T15:00:00.000Z	33 \| good	6.096 \| good	15.365 \| good	27.037 \| good	0.224 \| good	3.198 \| good	0.164 \| good
2025-09-12T16:00:00.000Z	33 \| good	6.209 \| good	15.151 \| good	29.544 \| good	0.212 \| good	2.612 \| good	0.163 \| good
2025-09-12T17:00:00.000Z	33 \| good	6.273 \| good	15.255 \| good	32.021 \| good	0.113 \| good	2.801 \| good	0.163 \| good
2025-09-12T18:00:00.000Z	33 \| good	6.276 \| good	14.687 \| good	33.233 \| good	0.139 \| good	2.612 \| good	0.163 \| good
2025-09-12T19:00:00.000Z	35 \| good	6.277 \| good	13.585 \| good	37.724 \| good	0.118 \| good	3.09 \| good	0.163 \| good
2025-09-12T20:00:00.000Z	34 \| good	6.27 \| good	13.604 \| good	37.445 \| good	0.16 \| good	3.15 \| good	0.163 \| good
2025-09-12T21:00:00.000Z	36 \| good	6.34 \| good	14.377 \| good	38.77 \| good	0.121 \| good	4.305 \| good	0.163 \| good
2025-09-12T22:00:00.000Z	40 \| good	6.303 \| good	14.27 \| good	42.581 \| good	0.161 \| good	2.445 \| good	0.201 \| good
2025-09-12T23:00:00.000Z	39 \| good	6.34 \| good	14.109 \| good	42.31 \| good	0.108 \| good	2.9 \| good	0.176 \| good
2025-09-13T00:00:00.000Z	38 \| good	6.617 \| good	14.238 \| good	39.236 \| good	0.13 \| good	8.746 \| good	0.242 \| good
2025-09-13T01:00:00.000Z	38 \| good	6.663 \| good	14.167 \| good	35.163 \| good	0.225 \| good	10.024 \| good	0.236 \| good
2025-09-13T02:00:00.000Z	38 \| good	6.641 \| good	14.382 \| good	30.257 \| good	0.192 \| good	12.119 \| good	0.235 \| good
2025-09-13T03:00:00.000Z	38 \| good	6.548 \| good	14.061 \| good	26.016 \| good	0.295 \| good	6.32 \| good	0.255 \| good
2025-09-13T04:00:00.000Z	38 \| good	6.568 \| good	13.199 \| good	25.737 \| good	0.295 \| good	5.937 \| good	0.255 \| good
2025-09-13T05:00:00.000Z	38 \| good	6.918 \| good	14.034 \| good	26.372 \| good	0.196 \| good	6.671 \| good	0.328 \| good
2025-09-13T06:00:00.000Z	38 \| good	7.368 \| good	13.973 \| good	25.272 \| good	0.218 \| good	8.442 \| good	0.296 \| good
2025-09-13T07:00:00.000Z	44 \| good	7.956 \| good	15.522 \| good	21.724 \| good	0.181 \| good	10.883 \| good	0.321 \| good
2025-09-13T08:00:00.000Z	44 \| good	8.02 \| good	15.208 \| good	15.635 \| good	0.196 \| good	10.42 \| good	0.328 \| good
2025-09-13T09:00:00.000Z	44 \| good	8.349 \| good	15.338 \| good	12.276 \| good	0.302 \| good	12.433 \| good	0.266 \| good
2025-09-13T10:00:00.000Z	49 \| good	8.846 \| good	15.791 \| good	9.571 \| good	0.318 \| good	11.742 \| good	0.278 \| good
2025-09-13T11:00:00.000Z	44 \| good	8.071 \| good	15.573 \| good	9.079 \| good	0.324 \| good	10.726 \| good	0.311 \| good
2025-09-13T12:00:00.000Z	44 \| good	8.446 \| good	16.677 \| good	14.262 \| good	0.135 \| good	11.681 \| good	0.305 \| good
2025-09-13T13:00:00.000Z	49 \| good	9.239 \| good	18.291 \| good	10.429 \| good	0.1 \| good	9.048 \| good	0.31 \| good
2025-09-13T14:00:00.000Z	49 \| good	8.574 \| good	18.018 \| good	20.895 \| good	0.224 \| good	9.779 \| good	0.278 \| good
2025-09-13T15:00:00.000Z	44 \| good	8.117 \| good	17.194 \| good	25.623 \| good	0.143 \| good	5.518 \| good	0.227 \| good
2025-09-13T16:00:00.000Z	44 \| good	8.06 \| good	16.122 \| good	28.152 \| good	0.133 \| good	5.614 \| good	0.227 \| good
2025-09-13T17:00:00.000Z	44 \| good	7.898 \| good	15.214 \| good	34.583 \| good	0.142 \| good	5.656 \| good	0.253 \| good
2025-09-13T18:00:00.000Z	44 \| good	8.059 \| good	15.379 \| good	40.017 \| good	0.182 \| good	5.757 \| good	0.296 \| good
2025-09-13T19:00:00.000Z	44 \| good	8.18 \| good	15.351 \| good	42.865 \| good	0.101 \| good	5.146 \| good	0.233 \| good
2025-09-13T20:00:00.000Z	44 \| good	8.058 \| good	16.341 \| good	48.038 \| good	0.133 \| good	5.345 \| good	0.227 \| good
2025-09-13T21:00:00.000Z	44 \| good	7.913 \| good	16.019 \| good	45.926 \| good	0.142 \| good	6.69 \| good	0.227 \| good
2025-09-13T22:00:00.000Z	44 \| good	7.784 \| good	16.018 \| good	40.594 \| good	0.198 \| good	6.199 \| good	0.227 \| good
2025-09-13T23:00:00.000Z	44 \| good	7.513 \| good	15.086 \| good	44.541 \| good	0.197 \| good	5.664 \| good	0.247 \| good
2025-09-14T00:00:00.000Z	44 \| good	7.537 \| good	15.53 \| good	42.686 \| good	0.169 \| good	4.885 \| good	0.228 \| good
2025-09-14T00:00:00.000Z	44 \| good	7.568 \| good	15.049 \| good	43.579 \| good	0.174 \| good	4.454 \| good	0.219 \| good
2025-09-12T01:00:00.000Z	44 \| good	8.46 \| good	36.998 \| good	24.586 \| good	0.841 \| good	15.832 \| good	0.316 \| good
2025-09-12T02:00:00.000Z	52 \| moderate	9.743 \| good	43.007 \| good	23.051 \| good	0.869 \| good	16.568 \| good	0.327 \| good
2025-09-12T03:00:00.000Z	52 \| moderate	10.041 \| good	44.986 \| good	21.592 \| good	0.898 \| good	17.304 \| good	0.338 \| good
2025-09-12T04:00:00.000Z	52 \| moderate	10.299 \| good	45.989 \| good	20.723 \| good	0.821 \| good	12.742 \| good	0.292 \| good
2025-09-12T05:00:00.000Z	54 \| moderate	11.279 \| good	50.004 \| good	22.468 \| good	0.743 \| good	8.18 \| good	0.245 \| good
2025-09-12T06:00:00.000Z	56 \| moderate	11.959 \| good	53.973 \| good	27.183 \| good	0.665 \| good	3.619 \| good	0.199 \| good
2025-09-12T07:00:00.000Z	52 \| moderate	10.158 \| good	45.001 \| good	26.42 \| good	0.592 \| good	2.924 \| good	0.19 \| good
2025-09-12T08:00:00.000Z	44 \| good	7.997 \| good	34.983 \| good	24.613 \| good	0.519 \| good	2.229 \| good	0.181 \| good
2025-09-12T09:00:00.000Z	33 \| good	6.4 \| good	28.967 \| good	22.508 \| good	0.445 \| good	1.535 \| good	0.173 \| good
2025-09-12T10:00:00.000Z	38 \| good	6.715 \| good	29.973 \| good	18.737 \| good	0.451 \| good	2.042 \| good	0.177 \| good
2025-09-12T11:00:00.000Z	38 \| good	6.722 \| good	29.999 \| good	16.977 \| good	0.457 \| good	2.549 \| good	0.182 \| good
2025-09-12T12:00:00.000Z	38 \| good	7.364 \| good	32.013 \| good	18.166 \| good	0.463 \| good	3.055 \| good	0.186 \| good
2025-09-12T13:00:00.000Z	44 \| good	7.999 \| good	34.986 \| good	21.015 \| good	0.46 \| good	2.464 \| good	0.18 \| good
2025-09-12T14:00:00.000Z	44 \| good	8.001 \| good	34.998 \| good	25.377 \| good	0.457 \| good	1.872 \| good	0.173 \| good
2025-09-12T15:00:00.000Z	49 \| good	8.962 \| good	39.026 \| good	30.352 \| good	0.454 \| good	1.28 \| good	0.167 \| good
2025-09-12T16:00:00.000Z	52 \| moderate	9.723 \| good	43.006 \| good	34.839 \| good	0.414 \| good	1.101 \| good	0.165 \| good
2025-09-12T17:00:00.000Z	49 \| good	9.059 \| good	40.977 \| good	37.442 \| good	0.374 \| good	0.923 \| good	0.162 \| good
2025-09-12T18:00:00.000Z	35 \| good	5.647 \| good	24.026 \| good	38.403 \| good	0.334 \| good	0.744 \| good	0.16 \| good
2025-09-12T19:00:00.000Z	36 \| good	4.518 \| good	19.995 \| good	39.044 \| good	0.31 \| good	0.854 \| good	0.157 \| good
2025-09-12T20:00:00.000Z	35 \| good	3.998 \| good	17.026 \| good	37.717 \| good	0.286 \| good	0.964 \| good	0.155 \| good
2025-09-12T21:00:00.000Z	34 \| good	5.61 \| good	24.002 \| good	36.89 \| good	0.262 \| good	1.074 \| good	0.153 \| good
2025-09-12T22:00:00.000Z	38 \| good	7.2 \| good	31.989 \| good	36.245 \| good	0.333 \| good	5.844 \| good	0.201 \| good
2025-09-12T23:00:00.000Z	33 \| good	5.826 \| good	25.025 \| good	32.881 \| good	0.404 \| good	10.614 \| good	0.248 \| good
2025-09-13T00:00:00.000Z	38 \| good	6.559 \| good	29.002 \| good	25.841 \| good	0.475 \| good	15.384 \| good	0.295 \| good
2025-09-13T01:00:00.000Z	33 \| good	5.841 \| good	25.009 \| good	23.067 \| good	0.569 \| good	15.925 \| good	0.307 \| good
2025-09-13T02:00:00.000Z	27 \| good	5.443 \| good	23.014 \| good	20.879 \| good	0.663 \| good	16.467 \| good	0.319 \| good
2025-09-13T03:00:00.000Z	27 \| good	5.084 \| good	22.001 \| good	20.527 \| good	0.758 \| good	17.009 \| good	0.331 \| good
2025-09-13T04:00:00.000Z	33 \| good	6.169 \| good	27.008 \| good	19.617 \| good	0.756 \| good	14.252 \| good	0.296 \| good
2025-09-13T05:00:00.000Z	44 \| good	8.083 \| good	35.002 \| good	17.858 \| good	0.755 \| good	11.496 \| good	0.261 \| good
2025-09-13T06:00:00.000Z	44 \| good	7.806 \| good	34.002 \| good	17.53 \| good	0.754 \| good	8.739 \| good	0.226 \| good
2025-09-13T07:00:00.000Z	33 \| good	6.162 \| good	27.005 \| good	15.108 \| good	0.779 \| good	7.783 \| good	0.21 \| good
2025-09-13T08:00:00.000Z	27 \| good	5.444 \| good	23.007 \| good	14.089 \| good	0.804 \| good	6.827 \| good	0.194 \| good
2025-09-13T09:00:00.000Z	27 \| good	5.444 \| good	23.007 \| good	13.137 \| good	0.829 \| good	5.871 \| good	0.178 \| good
2025-09-13T10:00:00.000Z	33 \| good	6.083 \| good	27.002 \| good	12.629 \| good	0.815 \| good	6.977 \| good	0.195 \| good
2025-09-13T11:00:00.000Z	33 \| good	6.401 \| good	28.974 \| good	11.799 \| good	0.801 \| good	8.084 \| good	0.211 \| good
2025-09-13T12:00:00.000Z	38 \| good	6.561 \| good	29.013 \| good	16.6 \| good	0.787 \| good	9.19 \| good	0.228 \| good
2025-09-13T13:00:00.000Z	44 \| good	7.524 \| good	33.003 \| good	24.186 \| good	1.126 \| good	7.637 \| good	0.216 \| good
2025-09-13T14:00:00.000Z	38 \| good	7.445 \| good	33.007 \| good	34.387 \| good	1.466 \| good	6.084 \| good	0.204 \| good
2025-09-13T15:00:00.000Z	44 \| good	7.727 \| good	34.007 \| good	42.871 \| good	1.806 \| good	4.53 \| good	0.193 \| good
2025-09-13T16:00:00.000Z	52 \| moderate	9.679 \| good	43.001 \| good	47.432 \| good	1.471 \| good	3.396 \| good	0.187 \| good
2025-09-13T17:00:00.000Z	58 \| moderate	12.699 \| fine	56.975 \| fine	47.594 \| good	1.136 \| good	2.261 \| good	0.181 \| good
2025-09-13T18:00:00.000Z	54 \| moderate	11.37 \| good	50.009 \| good	46.799 \| good	0.802 \| good	1.127 \| good	0.175 \| good
2025-09-13T19:00:00.000Z	54 \| moderate	10.953 \| good	48.02 \| good	43.744 \| good	0.674 \| good	1.248 \| good	0.173 \| good
2025-09-13T20:00:00.000Z	60 \| moderate	14.185 \| fine	63.02 \| fine	46.107 \| good	0.547 \| good	1.368 \| good	0.17 \| good
2025-09-13T21:00:00.000Z	62 \| moderate	14.941 \| fine	66.998 \| fine	54.381 \| good	0.42 \| good	1.489 \| good	0.168 \| good
2025-09-13T22:00:00.000Z	62 \| moderate	15.204 \| fine	68.973 \| fine	56.379 \| fine	0.47 \| good	4.803 \| good	0.2 \| good
2025-09-13T23:00:00.000Z	60 \| moderate	13.577 \| fine	61.021 \| fine	49.015 \| good	0.521 \| good	8.117 \| good	0.232 \| good
2025-09-14T00:00:00.000Z	54 \| moderate	10.911 \| good	11.351 \| good	40.846 \| good	0.572 \| good	11.422 \| good	0.264 \| good

Watertown

Empower business decisions with accurate air quality data

Real-time air quality map: Monitor AQI near Watertown, Connecticut

0.21ppm

How accurate is Connecticut, USA air quality data?

The air quality data for Connecticut, USA is gathered from reliable sources such as satellites and monitoring stations, adhering to US EPA guidelines. With the help of advanced algorithms and machine learning, factors like traffic and population density are analyzed to deliver accurate and dependable results.

Source: Ambee Data Sources

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Frequently asked questions

How frequently does the air quality data for Watertown, Connecticut get updated?

Air quality updates for Watertown, Connecticut are available every hour.

What time in the past 24 hours saw the poorest air quality in Watertown, Connecticut?

Watertown, Connecticut experienced its worst air quality at 10:00:00, 2025-09-11.

When was air quality in Watertown, Connecticut the best over the past 24 hours?

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

What is the air quality in Watertown, Connecticut right now?

The air quality in Watertown, Connecticut right now is Good, with an AQI of 38.

What pollutant is most frequently found in Watertown, Connecticut?

In Watertown, Connecticut, O3 is the most frequently found pollutant.

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

When air quality in Watertown, Connecticut is compromised, staying indoors and wearing a mask can reduce health risks.

What is the PM_2.5 concentration in Watertown, Connecticut right now?

Watertown, Connecticut currently has a PM_2.5 concentration of 4.073 μg/m³.

What is the current level of PM₁₀ in Watertown, Connecticut?

Watertown, Connecticut currently has a PM₁₀ concentration of 10.284 μg/m³.

What is the current level of carbon monoxide (CO) in Watertown, Connecticut?

The current carbon monoxide (CO) level in Watertown, Connecticut is 0.208 ppm.

What is the current level of sulfur dioxide (SO₂) in Watertown, Connecticut?

The current sulfur dioxide (SO₂) concentration in Watertown, Connecticut is 0.225 ppb.

What is the current level of ozone (O₃) in Watertown, Connecticut?

Watertown, Connecticut currently has an ozone (O₃) concentration of 40.757 ppm.

What is the current level of nitrogen dioxide (NO₂) in Watertown, Connecticut?

The current level of nitrogen dioxide (NO₂) in Watertown, Connecticut is 7.63 ppb.

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