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

Watertown, Connecticut currently has a PM10 concentration of 13.462 μg/m3.

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

The current sulfur dioxide (SO2) concentration in Watertown, Connecticut is 0.162 ppb.

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

Watertown, Connecticut currently has an ozone (O3) concentration of 30.55 ppm.

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

The current level of nitrogen dioxide (NO2) in Watertown, Connecticut is 8.28 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 4.743 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)

1.69 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

3.05 μg/m³

155

255

425

605+

Ozone (O₃)

31.58 ppb

201

201+

Sulfur Dioxide (SO₂)

0.18 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

6.14 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.10 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
2025-11-02T11:00:00.000Z	27 \| good	5.209 \| good	9.87 \| good	10.135 \| good	0.242 \| good	15.336 \| good	0.255 \| good
2025-11-02T12:00:00.000Z	27 \| good	4.597 \| good	8.312 \| good	8.622 \| good	0.242 \| good	12.84 \| good	0.294 \| good
2025-11-02T13:00:00.000Z	27 \| good	4.545 \| good	8.267 \| good	12.447 \| good	0.126 \| good	13.622 \| good	0.305 \| good
2025-11-02T14:00:00.000Z	22 \| good	4.478 \| good	7.677 \| good	10.834 \| good	0.264 \| good	11.861 \| good	0.226 \| good
2025-11-02T15:00:00.000Z	22 \| good	3.725 \| good	6.603 \| good	15.665 \| good	0.202 \| good	6.855 \| good	0.123 \| good
2025-11-02T16:00:00.000Z	16 \| good	3.357 \| good	5.759 \| good	14.713 \| good	0.214 \| good	3.352 \| good	0.115 \| good
2025-11-02T17:00:00.000Z	18 \| good	3.451 \| good	5.88 \| good	18.675 \| good	0.175 \| good	2.504 \| good	0.122 \| good
2025-11-02T18:00:00.000Z	22 \| good	3.474 \| good	5.916 \| good	24.021 \| good	0.156 \| good	2.44 \| good	0.132 \| good
2025-11-02T19:00:00.000Z	26 \| good	3.403 \| good	5.916 \| good	27.512 \| good	0.2 \| good	2.307 \| good	0.132 \| good
2025-11-02T20:00:00.000Z	28 \| good	3.422 \| good	6.003 \| good	29.906 \| good	0.165 \| good	2.053 \| good	0.143 \| good
2025-11-02T21:00:00.000Z	30 \| good	3.51 \| good	5.989 \| good	31.997 \| good	0.168 \| good	2.694 \| good	0.154 \| good
2025-11-02T22:00:00.000Z	29 \| good	3.71 \| good	6.173 \| good	31.366 \| good	0.126 \| good	5.346 \| good	0.154 \| good
2025-11-02T23:00:00.000Z	27 \| good	5.081 \| good	9.328 \| good	29.192 \| good	0.159 \| good	12.173 \| good	0.197 \| good
2025-11-03T00:00:00.000Z	38 \| good	6.687 \| good	11.374 \| good	26.822 \| good	0.288 \| good	18.095 \| good	0.43 \| good
2025-11-03T01:00:00.000Z	44 \| good	8.136 \| good	13.417 \| good	23.821 \| good	0.381 \| good	18.909 \| good	0.435 \| good
2025-11-03T02:00:00.000Z	49 \| good	9.133 \| good	14.53 \| good	20.306 \| good	0.385 \| good	20.343 \| good	0.393 \| good
2025-11-03T03:00:00.000Z	52 \| moderate	9.551 \| good	15.327 \| good	9.833 \| good	0.307 \| good	20.218 \| good	0.316 \| good
2025-11-03T04:00:00.000Z	52 \| moderate	9.652 \| good	15.24 \| good	12.025 \| good	0.259 \| good	18.32 \| good	0.31 \| good
2025-11-03T05:00:00.000Z	52 \| moderate	9.725 \| good	15.338 \| good	7.313 \| good	0.231 \| good	18.787 \| good	0.33 \| good
2025-11-03T06:00:00.000Z	52 \| moderate	10.313 \| good	16.436 \| good	6.67 \| good	0.279 \| good	21.992 \| good	0.322 \| good
2025-11-03T07:00:00.000Z	52 \| moderate	10.208 \| good	16.363 \| good	7.218 \| good	0.23 \| good	21.152 \| good	0.408 \| good
2025-11-03T08:00:00.000Z	54 \| moderate	11.014 \| good	17.859 \| good	5.885 \| good	0.35 \| good	17.886 \| good	0.289 \| good
2025-11-03T09:00:00.000Z	54 \| moderate	11.045 \| good	18.013 \| good	7.128 \| good	0.331 \| good	16.267 \| good	0.281 \| good
2025-11-03T10:00:00.000Z	54 \| moderate	10.51 \| good	16.977 \| good	6.516 \| good	0.27 \| good	16.359 \| good	0.28 \| good
2025-11-03T11:00:00.000Z	52 \| moderate	10.135 \| good	16.494 \| good	5.92 \| good	0.475 \| good	18.357 \| good	0.284 \| good
2025-11-03T12:00:00.000Z	52 \| moderate	9.883 \| good	16.446 \| good	6.737 \| good	0.644 \| good	20.529 \| good	0.326 \| good
2025-11-03T13:00:00.000Z	52 \| moderate	9.706 \| good	16.224 \| good	10.952 \| good	0.762 \| good	17.313 \| good	0.44 \| good
2025-11-03T14:00:00.000Z	52 \| moderate	10.155 \| good	17.929 \| good	14.631 \| good	0.728 \| good	18.228 \| good	0.491 \| good
2025-11-03T15:00:00.000Z	54 \| moderate	10.842 \| good	19.319 \| good	14.365 \| good	0.494 \| good	17.724 \| good	0.475 \| good
2025-11-03T16:00:00.000Z	54 \| moderate	10.726 \| good	21.4 \| good	13.354 \| good	0.473 \| good	14.784 \| good	0.444 \| good
2025-11-03T17:00:00.000Z	49 \| good	8.718 \| good	21.202 \| good	22.565 \| good	0.322 \| good	13.838 \| good	0.373 \| good
2025-11-03T18:00:00.000Z	38 \| good	6.686 \| good	17.714 \| good	25.661 \| good	0.29 \| good	11.556 \| good	0.261 \| good
2025-11-03T19:00:00.000Z	33 \| good	5.663 \| good	16.967 \| good	25.351 \| good	0.213 \| good	9.866 \| good	0.231 \| good
2025-11-03T20:00:00.000Z	31 \| good	5.388 \| good	16.932 \| good	32.569 \| good	0.199 \| good	11.482 \| good	0.262 \| good
2025-11-03T21:00:00.000Z	27 \| good	4.858 \| good	15.208 \| good	29.345 \| good	0.22 \| good	12.046 \| good	0.232 \| good
2025-11-03T22:00:00.000Z	30 \| good	4.743 \| good	13.462 \| good	32.184 \| good	0.163 \| good	9.137 \| good	0.232 \| good
2025-11-03T23:00:00.000Z	29 \| good	4.743 \| good	13.462 \| good	30.55 \| good	0.162 \| good	8.28 \| good	0.224 \| good
2025-11-04T00:00:00.000Z	28 \| good	4.544 \| good	9.966 \| good	30.36 \| good	0.292 \| good	8.435 \| good	0.234 \| good
2025-11-04T01:00:00.000Z	28 \| good	4.802 \| good	10.098 \| good	29.501 \| good	0.476 \| good	11.661 \| good	0.244 \| good
2025-11-04T02:00:00.000Z	31 \| good	5.062 \| good	9.991 \| good	33.566 \| good	0.238 \| good	10.056 \| good	0.195 \| good
2025-11-04T03:00:00.000Z	24 \| good	4.463 \| good	8.225 \| good	26.422 \| good	0.132 \| good	7.963 \| good	0.15 \| good
2025-11-04T04:00:00.000Z	24 \| good	4.116 \| good	7.139 \| good	25.894 \| good	0.126 \| good	7.79 \| good	0.14 \| good
2025-11-04T05:00:00.000Z	24 \| good	3.861 \| good	6.916 \| good	26.203 \| good	0.209 \| good	2.702 \| good	0.109 \| good
2025-11-04T06:00:00.000Z	26 \| good	3.265 \| good	5.966 \| good	28.114 \| good	0.21 \| good	3.024 \| good	0.123 \| good
2025-11-04T07:00:00.000Z	28 \| good	3.245 \| good	5.914 \| good	29.73 \| good	0.315 \| good	2.017 \| good	0.1 \| good
2025-11-04T08:00:00.000Z	29 \| good	2.059 \| good	3.867 \| good	31.275 \| good	0.162 \| good	3.52 \| good	0.1 \| good
2025-11-04T09:00:00.000Z	30 \| good	1.686 \| good	3.051 \| good	31.582 \| good	0.177 \| good	6.142 \| good	0.1 \| good
2025-11-04T10:00:00.000Z	30 \| good	1.686 \| good	3.051 \| good	31.582 \| good	0.177 \| good	6.142 \| good	0.1 \| good
2025-11-04T01:00:00.000Z	36 \| good	4.902 \| good	21.009 \| good	38.85 \| good	2.149 \| good	10.049 \| good	0.172 \| good
2025-11-04T02:00:00.000Z	33 \| good	3.202 \| good	13.978 \| good	36.372 \| good	2.102 \| good	7.557 \| good	0.164 \| good
2025-11-04T03:00:00.000Z	31 \| good	2.501 \| good	10 \| good	34.348 \| good	2.055 \| good	5.065 \| good	0.156 \| good
2025-11-04T04:00:00.000Z	30 \| good	2.28 \| good	9.013 \| good	32.255 \| good	1.575 \| good	3.971 \| good	0.15 \| good
2025-11-04T05:00:00.000Z	30 \| good	2.024 \| good	8.009 \| good	32.223 \| good	1.095 \| good	2.878 \| good	0.144 \| good
2025-11-04T06:00:00.000Z	30 \| good	2.18 \| good	8.996 \| good	31.994 \| good	0.615 \| good	1.784 \| good	0.138 \| good
2025-11-04T07:00:00.000Z	30 \| good	2.372 \| good	9.982 \| good	32.243 \| good	0.566 \| good	1.555 \| good	0.135 \| good
2025-11-04T08:00:00.000Z	30 \| good	2.39 \| good	9.984 \| good	31.761 \| good	0.517 \| good	1.325 \| good	0.132 \| good
2025-11-04T09:00:00.000Z	28 \| good	2.19 \| good	8.997 \| good	30.142 \| good	0.468 \| good	1.095 \| good	0.129 \| good
2025-11-04T10:00:00.000Z	28 \| good	1.37 \| good	5.011 \| good	30.203 \| good	0.481 \| good	1.376 \| good	0.131 \| good
2025-11-04T11:00:00.000Z	28 \| good	0.981 \| good	3.998 \| good	30.112 \| good	0.494 \| good	1.656 \| good	0.133 \| good
2025-11-04T12:00:00.000Z	26 \| good	0.9 \| good	3.984 \| good	28.325 \| good	0.507 \| good	1.936 \| good	0.134 \| good
2025-11-04T13:00:00.000Z	27 \| good	1.062 \| good	4.009 \| good	28.642 \| good	0.469 \| good	1.603 \| good	0.133 \| good
2025-11-04T14:00:00.000Z	27 \| good	0.501 \| good	2 \| good	29.39 \| good	0.432 \| good	1.27 \| good	0.132 \| good
2025-11-04T15:00:00.000Z	28 \| good	0.361 \| good	1.009 \| good	30.03 \| good	0.395 \| good	0.937 \| good	0.131 \| good
2025-11-04T16:00:00.000Z	29 \| good	0.361 \| good	1.011 \| good	30.808 \| good	0.407 \| good	0.902 \| good	0.127 \| good
2025-11-04T17:00:00.000Z	30 \| good	0.361 \| good	1.012 \| good	31.888 \| good	0.419 \| good	0.866 \| good	0.123 \| good
2025-11-04T18:00:00.000Z	31 \| good	0.242 \| good	0.996 \| good	32.563 \| good	0.432 \| good	0.831 \| good	0.12 \| good
2025-11-04T19:00:00.000Z	30 \| good	0.682 \| good	2.013 \| good	32.337 \| good	0.444 \| good	1.181 \| good	0.122 \| good
2025-11-04T20:00:00.000Z	30 \| good	1.202 \| good	4.994 \| good	31.756 \| good	0.457 \| good	1.531 \| good	0.124 \| good
2025-11-04T21:00:00.000Z	29 \| good	2.08 \| good	8.013 \| good	31.455 \| good	0.47 \| good	1.881 \| good	0.126 \| good
2025-11-04T22:00:00.000Z	28 \| good	2.92 \| good	12 \| good	30.488 \| good	0.518 \| good	2.799 \| good	0.135 \| good
2025-11-04T23:00:00.000Z	27 \| good	3.931 \| good	17.004 \| good	29.33 \| good	0.565 \| good	3.717 \| good	0.144 \| good
2025-11-05T00:00:00.000Z	26 \| good	4.201 \| good	18.987 \| good	27.881 \| good	0.613 \| good	4.635 \| good	0.154 \| good
2025-11-05T01:00:00.000Z	27 \| good	4.531 \| good	20.001 \| good	26.38 \| good	0.649 \| good	4.724 \| good	0.156 \| good
2025-11-05T02:00:00.000Z	27 \| good	5.141 \| good	22.004 \| good	23.488 \| good	0.685 \| good	4.812 \| good	0.158 \| good
2025-11-05T03:00:00.000Z	33 \| good	5.663 \| good	24.018 \| good	20.544 \| good	0.722 \| good	4.901 \| good	0.161 \| good
2025-11-05T04:00:00.000Z	27 \| good	4.551 \| good	19.993 \| good	19.356 \| good	0.718 \| good	4.388 \| good	0.156 \| good
2025-11-05T05:00:00.000Z	22 \| good	3.651 \| good	16.002 \| good	19.23 \| good	0.715 \| good	3.874 \| good	0.152 \| good
2025-11-05T06:00:00.000Z	22 \| good	4.089 \| good	17.993 \| good	18.737 \| good	0.711 \| good	3.361 \| good	0.147 \| good
2025-11-05T07:00:00.000Z	22 \| good	4.458 \| good	19.001 \| good	18.249 \| good	0.711 \| good	3.278 \| good	0.145 \| good
2025-11-05T08:00:00.000Z	22 \| good	4.199 \| good	18.977 \| good	16.827 \| good	0.712 \| good	3.194 \| good	0.144 \| good
2025-11-05T09:00:00.000Z	22 \| good	4.46 \| good	19.01 \| good	14.562 \| good	0.712 \| good	3.111 \| good	0.142 \| good
2025-11-05T10:00:00.000Z	22 \| good	4.281 \| good	18.985 \| good	15.212 \| good	0.797 \| good	5.496 \| good	0.163 \| good
2025-11-05T11:00:00.000Z	22 \| good	4.1 \| good	17.995 \| good	14.429 \| good	0.882 \| good	7.881 \| good	0.183 \| good
2025-11-05T12:00:00.000Z	22 \| good	4.08 \| good	17.99 \| good	15.807 \| good	0.968 \| good	10.266 \| good	0.204 \| good
2025-11-05T13:00:00.000Z	22 \| good	4.011 \| good	17.993 \| good	20.256 \| good	1.067 \| good	9.311 \| good	0.198 \| good
2025-11-05T14:00:00.000Z	22 \| good	4.04 \| good	17.981 \| good	22.205 \| good	1.167 \| good	8.356 \| good	0.192 \| good
2025-11-05T15:00:00.000Z	33 \| good	6.17 \| good	27.013 \| good	23.374 \| good	1.266 \| good	7.401 \| good	0.186 \| good
2025-11-05T16:00:00.000Z	38 \| good	6.707 \| good	29.991 \| good	25.994 \| good	1.898 \| good	8.581 \| good	0.184 \| good
2025-11-05T17:00:00.000Z	33 \| good	6.022 \| good	26.991 \| good	31.631 \| good	2.53 \| good	9.76 \| good	0.181 \| good
2025-11-05T18:00:00.000Z	38 \| good	6.843 \| good	30.008 \| good	35.938 \| good	3.162 \| good	10.939 \| good	0.179 \| good
2025-11-05T19:00:00.000Z	44 \| good	7.845 \| good	34.016 \| good	36.324 \| good	3.045 \| good	9.989 \| good	0.176 \| good
2025-11-05T20:00:00.000Z	44 \| good	7.645 \| good	33.99 \| good	35.415 \| good	2.928 \| good	9.039 \| good	0.173 \| good
2025-11-05T21:00:00.000Z	38 \| good	7.24 \| good	32 \| good	36.694 \| good	2.81 \| good	8.089 \| good	0.17 \| good
2025-11-05T22:00:00.000Z	44 \| good	7.54 \| good	33.01 \| good	36.635 \| good	3.003 \| good	8.456 \| good	0.175 \| good
2025-11-05T23:00:00.000Z	44 \| good	8.1 \| good	35.989 \| good	33.602 \| good	3.195 \| good	8.823 \| good	0.181 \| good
2025-11-06T00:00:00.000Z	49 \| good	8.753 \| good	8.822 \| good	36.045 \| good	3.385 \| good	9.181 \| good	0.186 \| good

Watertown

Empower business decisions with accurate air quality data

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

0.23ppm

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, 2025-11-03.

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

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

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

The air quality in Watertown, Connecticut right now is Good, with an AQI of 29.

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 4.743 μg/m³.

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

Watertown, Connecticut currently has a PM₁₀ concentration of 13.462 μg/m³.

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

The current carbon monoxide (CO) level in Watertown, Connecticut is 0.224 ppm.

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

The current sulfur dioxide (SO₂) concentration in Watertown, Connecticut is 0.162 ppb.

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

Watertown, Connecticut currently has an ozone (O₃) concentration of 30.55 ppm.

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

The current level of nitrogen dioxide (NO₂) in Watertown, Connecticut is 8.28 ppb.

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