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

Watertown, Connecticut currently has a PM10 concentration of 12.788 μg/m3.

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

The current sulfur dioxide (SO2) concentration in Watertown, Connecticut is 0.354 ppb.

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

Watertown, Connecticut currently has an ozone (O3) concentration of 34.023 ppm.

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

The current level of nitrogen dioxide (NO2) in Watertown, Connecticut is 12.018 ppb.

Current air quality index in Watertown, Connecticut today

Q: What is the PM2.5 concentration in Watertown, Connecticut right now?

Watertown, Connecticut currently has a PM2.5 concentration of 5.586 μg/m3.

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)

5.59 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

12.79 μg/m³

155

255

425

605+

Ozone (O₃)

34.02 ppb

201

201+

Sulfur Dioxide (SO₂)

0.35 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

12.02 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
2026-05-12T14:00:00.000Z	31 \| good	1.884 \| good	5.164 \| good	32.926 \| good	0.258 \| good	3.013 \| good	0.151 \| good
2026-05-12T15:00:00.000Z	30 \| good	1.78 \| good	6.846 \| good	32.273 \| good	0.281 \| good	1.784 \| good	0.144 \| good
2026-05-12T16:00:00.000Z	30 \| good	1.491 \| good	5.918 \| good	32.066 \| good	0.247 \| good	1.762 \| good	0.151 \| good
2026-05-12T17:00:00.000Z	31 \| good	1.31 \| good	5.073 \| good	34.112 \| good	0.2 \| good	2.427 \| good	0.157 \| good
2026-05-12T18:00:00.000Z	34 \| good	1.339 \| good	6.163 \| good	36.6 \| good	0.216 \| good	2.061 \| good	0.164 \| good
2026-05-12T19:00:00.000Z	34 \| good	1.337 \| good	6.204 \| good	36.56 \| good	0.216 \| good	2.147 \| good	0.164 \| good
2026-05-12T20:00:00.000Z	34 \| good	1.308 \| good	6.024 \| good	37.234 \| good	0.224 \| good	2.223 \| good	0.169 \| good
2026-05-12T21:00:00.000Z	36 \| good	1.205 \| good	5.038 \| good	38.964 \| good	0.261 \| good	2.269 \| good	0.169 \| good
2026-05-12T22:00:00.000Z	36 \| good	1.144 \| good	4.148 \| good	38.969 \| good	0.2 \| good	2.579 \| good	0.162 \| good
2026-05-12T23:00:00.000Z	38 \| good	1.145 \| good	4.214 \| good	40.855 \| good	0.205 \| good	2.838 \| good	0.157 \| good
2026-05-13T00:00:00.000Z	37 \| good	1.247 \| good	4.267 \| good	40.081 \| good	0.163 \| good	5.058 \| good	0.157 \| good
2026-05-13T01:00:00.000Z	36 \| good	1.218 \| good	4.37 \| good	39.419 \| good	0.162 \| good	3.862 \| good	0.139 \| good
2026-05-13T02:00:00.000Z	35 \| good	2.672 \| good	9.729 \| good	38.472 \| good	0.225 \| good	10.095 \| good	0.246 \| good
2026-05-13T03:00:00.000Z	27 \| good	4.117 \| good	18.238 \| good	28.868 \| good	0.398 \| good	19.836 \| good	0.275 \| good
2026-05-13T04:00:00.000Z	35 \| good	2.99 \| good	9.981 \| good	37.662 \| good	0.188 \| good	10.856 \| good	0.2 \| good
2026-05-13T05:00:00.000Z	36 \| good	3.018 \| good	9.041 \| good	39.139 \| good	0.159 \| good	9.106 \| good	0.173 \| good
2026-05-13T06:00:00.000Z	33 \| good	3.024 \| good	9.086 \| good	36.1 \| good	0.174 \| good	12.305 \| good	0.169 \| good
2026-05-13T07:00:00.000Z	30 \| good	3.275 \| good	9.032 \| good	31.887 \| good	0.167 \| good	12.908 \| good	0.167 \| good
2026-05-13T08:00:00.000Z	33 \| good	3.457 \| good	8.909 \| good	35.66 \| good	0.185 \| good	10.305 \| good	0.16 \| good
2026-05-13T09:00:00.000Z	33 \| good	3.841 \| good	9.277 \| good	36.093 \| good	0.333 \| good	7.826 \| good	0.173 \| good
2026-05-13T10:00:00.000Z	28 \| good	4.321 \| good	11.198 \| good	30.195 \| good	0.283 \| good	10.965 \| good	0.193 \| good
2026-05-13T11:00:00.000Z	32 \| good	4.877 \| good	13.766 \| good	34.893 \| good	0.397 \| good	13.314 \| good	0.202 \| good
2026-05-13T12:00:00.000Z	31 \| good	4.978 \| good	14.003 \| good	33.531 \| good	0.322 \| good	15.884 \| good	0.202 \| good
2026-05-13T13:00:00.000Z	30 \| good	4.969 \| good	13.994 \| good	31.954 \| good	0.319 \| good	10.812 \| good	0.204 \| good
2026-05-13T14:00:00.000Z	44 \| good	7.833 \| good	29.542 \| good	36.128 \| good	0.333 \| good	12.366 \| good	0.215 \| good
2026-05-13T15:00:00.000Z	44 \| good	8.093 \| good	29.584 \| good	34.884 \| good	0.305 \| good	10.214 \| good	0.189 \| good
2026-05-13T16:00:00.000Z	52 \| moderate	9.522 \| good	42.576 \| good	48.106 \| good	0.448 \| good	3.073 \| good	0.153 \| good
2026-05-13T17:00:00.000Z	44 \| good	7.792 \| good	30.235 \| good	40.853 \| good	0.268 \| good	7.748 \| good	0.17 \| good
2026-05-13T18:00:00.000Z	44 \| good	7.792 \| good	30.369 \| good	45.765 \| good	0.19 \| good	7.727 \| good	0.177 \| good
2026-05-13T19:00:00.000Z	44 \| good	8.306 \| good	42.225 \| good	46.102 \| good	0.305 \| good	7.428 \| good	0.177 \| good
2026-05-13T20:00:00.000Z	47 \| good	7.952 \| good	47.701 \| good	50.721 \| good	0.295 \| good	8.098 \| good	0.177 \| good
2026-05-13T21:00:00.000Z	47 \| good	6.736 \| good	40.928 \| good	51.139 \| good	0.294 \| good	8.354 \| good	0.17 \| good
2026-05-13T22:00:00.000Z	49 \| good	5.86 \| good	33.397 \| good	52.677 \| good	0.309 \| good	8.742 \| good	0.17 \| good
2026-05-13T23:00:00.000Z	49 \| good	5.302 \| good	27.025 \| good	52.622 \| good	0.286 \| good	6.875 \| good	0.176 \| good
2026-05-14T00:00:00.000Z	49 \| good	4.9 \| good	22.426 \| good	52.526 \| good	0.285 \| good	6.255 \| good	0.182 \| good
2026-05-14T01:00:00.000Z	46 \| good	4.788 \| good	17.827 \| good	50.094 \| good	0.285 \| good	5.521 \| good	0.163 \| good
2026-05-14T02:00:00.000Z	49 \| good	4.795 \| good	15.891 \| good	53.204 \| good	0.343 \| good	5.73 \| good	0.195 \| good
2026-05-14T03:00:00.000Z	45 \| good	5.285 \| good	20.737 \| good	49.194 \| good	0.343 \| good	5.001 \| good	0.17 \| good
2026-05-14T04:00:00.000Z	45 \| good	5.452 \| good	17.373 \| good	48.77 \| good	0.343 \| good	4.725 \| good	0.163 \| good
2026-05-14T05:00:00.000Z	44 \| good	5.378 \| good	15.569 \| good	48.302 \| good	0.343 \| good	4.166 \| good	0.15 \| good
2026-05-14T06:00:00.000Z	44 \| good	5.201 \| good	13.862 \| good	46.787 \| good	0.327 \| good	4.94 \| good	0.157 \| good
2026-05-14T07:00:00.000Z	44 \| good	5.188 \| good	13.889 \| good	47.449 \| good	0.322 \| good	4.236 \| good	0.137 \| good
2026-05-14T08:00:00.000Z	41 \| good	4.83 \| good	11.325 \| good	43.579 \| good	0.348 \| good	4.836 \| good	0.157 \| good
2026-05-14T09:00:00.000Z	38 \| good	5.005 \| good	12.057 \| good	40.998 \| good	0.325 \| good	6.065 \| good	0.157 \| good
2026-05-14T10:00:00.000Z	39 \| good	5.085 \| good	12.105 \| good	42.1 \| good	0.356 \| good	7.621 \| good	0.157 \| good
2026-05-14T11:00:00.000Z	31 \| good	5.447 \| good	13.386 \| good	33.141 \| good	0.353 \| good	10.869 \| good	0.19 \| good
2026-05-14T12:00:00.000Z	33 \| good	5.6 \| good	13.365 \| good	32.251 \| good	0.334 \| good	13.459 \| good	0.216 \| good
2026-05-14T13:00:00.000Z	33 \| good	5.582 \| good	13.291 \| good	32.776 \| good	0.327 \| good	12.709 \| good	0.232 \| good
2026-05-14T13:00:00.000Z	33 \| good	5.586 \| good	12.788 \| good	34.023 \| good	0.354 \| good	12.018 \| good	0.223 \| good
2026-05-14T14:00:00.000Z	28 \| good	3.669 \| good	16.068 \| good	29.898 \| good	0.193 \| good	2.762 \| good	0.143 \| good
2026-05-14T15:00:00.000Z	27 \| good	4.903 \| good	21.275 \| good	28.382 \| good	0.228 \| good	2.132 \| good	0.139 \| good
2026-05-14T16:00:00.000Z	31 \| good	4.71 \| good	20.367 \| good	34.061 \| good	0.233 \| good	1.759 \| good	0.138 \| good
2026-05-14T17:00:00.000Z	41 \| good	4.01 \| good	17.763 \| good	43.833 \| good	0.212 \| good	1.751 \| good	0.139 \| good
2026-05-14T18:00:00.000Z	42 \| good	4.248 \| good	18.606 \| good	44.692 \| good	0.186 \| good	1.982 \| good	0.146 \| good
2026-05-14T19:00:00.000Z	47 \| good	3.719 \| good	16.311 \| good	50.944 \| good	0.183 \| good	1.731 \| good	0.145 \| good
2026-05-14T20:00:00.000Z	49 \| good	3.554 \| good	15.364 \| good	52.589 \| good	0.197 \| good	1.605 \| good	0.145 \| good
2026-05-14T21:00:00.000Z	45 \| good	3.454 \| good	15.416 \| good	48.737 \| good	0.212 \| good	1.838 \| good	0.15 \| good
2026-05-14T22:00:00.000Z	38 \| good	6.371 \| good	28.377 \| good	40.958 \| good	0.195 \| good	2.56 \| good	0.16 \| good
2026-05-14T23:00:00.000Z	39 \| good	6.035 \| good	26.866 \| good	41.876 \| good	0.173 \| good	3.606 \| good	0.171 \| good
2026-05-15T00:00:00.000Z	38 \| good	7.328 \| good	32.327 \| good	39.792 \| good	0.179 \| good	7.042 \| good	0.202 \| good
2026-05-15T01:00:00.000Z	44 \| good	8.148 \| good	35.681 \| good	35.132 \| good	0.209 \| good	10.796 \| good	0.23 \| good
2026-05-15T02:00:00.000Z	44 \| good	7.604 \| good	33.364 \| good	33.096 \| good	0.222 \| good	11.747 \| good	0.237 \| good
2026-05-15T03:00:00.000Z	38 \| good	7.001 \| good	30.865 \| good	33.091 \| good	0.203 \| good	9.071 \| good	0.214 \| good
2026-05-15T04:00:00.000Z	33 \| good	6.342 \| good	28.192 \| good	32.155 \| good	0.174 \| good	6.464 \| good	0.192 \| good
2026-05-15T05:00:00.000Z	38 \| good	6.705 \| good	29.845 \| good	31.297 \| good	0.154 \| good	5.089 \| good	0.178 \| good
2026-05-15T06:00:00.000Z	33 \| good	6.419 \| good	28.53 \| good	31.466 \| good	0.14 \| good	4.179 \| good	0.168 \| good
2026-05-15T07:00:00.000Z	33 \| good	6.018 \| good	27.06 \| good	30.208 \| good	0.137 \| good	3.189 \| good	0.158 \| good
2026-05-15T08:00:00.000Z	38 \| good	6.673 \| good	29.653 \| good	30.084 \| good	0.149 \| good	2.933 \| good	0.155 \| good
2026-05-15T09:00:00.000Z	33 \| good	6.364 \| good	28.315 \| good	28.772 \| good	0.165 \| good	2.949 \| good	0.155 \| good
2026-05-15T10:00:00.000Z	38 \| good	6.699 \| good	29.962 \| good	26 \| good	0.176 \| good	2.908 \| good	0.154 \| good
2026-05-15T11:00:00.000Z	33 \| good	6.308 \| good	27.934 \| good	28.503 \| good	0.174 \| good	2.931 \| good	0.154 \| good
2026-05-15T12:00:00.000Z	33 \| good	6.34 \| good	28.318 \| good	33.524 \| good	0.169 \| good	2.879 \| good	0.154 \| good
2026-05-15T13:00:00.000Z	38 \| good	6.654 \| good	29.545 \| good	30.27 \| good	0.152 \| good	2.468 \| good	0.149 \| good
2026-05-15T14:00:00.000Z	38 \| good	7.099 \| good	31.512 \| good	27.59 \| good	0.138 \| good	2.097 \| good	0.145 \| good
2026-05-15T15:00:00.000Z	32 \| good	4.365 \| good	18.991 \| good	34.818 \| good	0.126 \| good	1.659 \| good	0.139 \| good
2026-05-15T16:00:00.000Z	36 \| good	3.891 \| good	17.103 \| good	38.784 \| good	0.113 \| good	1.266 \| good	0.133 \| good
2026-05-15T17:00:00.000Z	34 \| good	4.136 \| good	18.24 \| good	37.257 \| good	0.113 \| good	1.273 \| good	0.132 \| good
2026-05-15T18:00:00.000Z	35 \| good	4.511 \| good	19.737 \| good	37.89 \| good	0.112 \| good	1.156 \| good	0.129 \| good
2026-05-15T19:00:00.000Z	37 \| good	3.918 \| good	17.193 \| good	40.033 \| good	0.111 \| good	1.091 \| good	0.126 \| good
2026-05-15T20:00:00.000Z	38 \| good	2.972 \| good	12.712 \| good	40.715 \| good	0.114 \| good	1.1 \| good	0.126 \| good
2026-05-15T21:00:00.000Z	39 \| good	4.228 \| good	18.515 \| good	42.033 \| good	0.117 \| good	1.311 \| good	0.128 \| good
2026-05-15T22:00:00.000Z	39 \| good	3.415 \| good	14.885 \| good	41.72 \| good	0.121 \| good	1.882 \| good	0.134 \| good
2026-05-15T23:00:00.000Z	40 \| good	3.164 \| good	13.234 \| good	42.802 \| good	0.128 \| good	2.903 \| good	0.144 \| good
2026-05-16T00:00:00.000Z	36 \| good	3.006 \| good	12.945 \| good	38.838 \| good	0.149 \| good	4.92 \| good	0.16 \| good
2026-05-16T01:00:00.000Z	30 \| good	3.928 \| good	17.409 \| good	32.417 \| good	0.202 \| good	8.791 \| good	0.182 \| good
2026-05-16T02:00:00.000Z	28 \| good	4.331 \| good	18.939 \| good	30.167 \| good	0.253 \| good	12.823 \| good	0.207 \| good
2026-05-16T03:00:00.000Z	29 \| good	2.989 \| good	12.773 \| good	31.025 \| good	0.284 \| good	15.015 \| good	0.221 \| good
2026-05-16T04:00:00.000Z	30 \| good	2.432 \| good	9.935 \| good	32.191 \| good	0.294 \| good	15.86 \| good	0.231 \| good
2026-05-16T05:00:00.000Z	30 \| good	2.412 \| good	9.897 \| good	31.594 \| good	0.279 \| good	14.878 \| good	0.229 \| good
2026-05-16T06:00:00.000Z	33 \| good	5.93 \| good	6.027 \| good	17.631 \| good	0.253 \| good	10.364 \| good	0.195 \| good
2026-05-16T07:00:00.000Z	29 \| good	1.946 \| good	7.932 \| good	31.032 \| good	0.236 \| good	6.652 \| good	0.171 \| good
2026-05-16T08:00:00.000Z	30 \| good	2.31 \| good	9.653 \| good	31.883 \| good	0.224 \| good	5.367 \| good	0.163 \| good
2026-05-16T09:00:00.000Z	27 \| good	1.696 \| good	7.242 \| good	29.371 \| good	0.215 \| good	4.704 \| good	0.159 \| good
2026-05-16T10:00:00.000Z	25 \| good	4.329 \| good	19.05 \| good	27.009 \| good	0.212 \| good	4.222 \| good	0.157 \| good
2026-05-16T11:00:00.000Z	44 \| good	7.557 \| good	33.362 \| good	27.11 \| good	0.209 \| good	3.481 \| good	0.158 \| good
2026-05-16T12:00:00.000Z	29 \| good	3.703 \| good	3.778 \| good	31.056 \| good	0.232 \| good	2.608 \| good	0.158 \| good
2026-05-16T13:00:00.000Z	35 \| good	3.914 \| good	4.038 \| good	38.118 \| good	0.298 \| good	1.753 \| good	0.153 \| 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 04:00:00, 2026-05-13.

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

The best air quality in Watertown, Connecticut was observed at 01:00:00 on 2026-05-13.

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

The air quality in Watertown, Connecticut right now is Good, with an AQI of 33.

What pollutant is most frequently found in Watertown, Connecticut?

In Watertown, Connecticut, PM2.5 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 5.586 μg/m³.

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

Watertown, Connecticut currently has a PM₁₀ concentration of 12.788 μg/m³.

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

The current carbon monoxide (CO) level in Watertown, Connecticut is 0.223 ppm.

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

The current sulfur dioxide (SO₂) concentration in Watertown, Connecticut is 0.354 ppb.

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

Watertown, Connecticut currently has an ozone (O₃) concentration of 34.023 ppm.

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

The current level of nitrogen dioxide (NO₂) in Watertown, Connecticut is 12.018 ppb.

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