What is the current level of PM10 in Watertown City, New York?

Watertown City, New York currently has a PM10 concentration of 8.186 μg/m3.

What is the current level of sulfur dioxide (SO2) in Watertown City, New York?

The current sulfur dioxide (SO2) concentration in Watertown City, New York is 0.297 ppb.

What is the current level of ozone (O3) in Watertown City, New York?

Watertown City, New York currently has an ozone (O3) concentration of 20.507 ppm.

What is the current level of nitrogen dioxide (NO2) in Watertown City, New York?

The current level of nitrogen dioxide (NO2) in Watertown City, New York is 1.458 ppb.

Current air quality index in Watertown City, New York today

Name: Live air pollution levels in Watertown City, New York today
Creator: Ambee

Stay updated with real-time air quality in Watertown City, New York 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 City, New York

Last updated: ... (Local time)

Common air pollutants in Watertown City, New York

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

2.98 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

8.19 μg/m³

155

255

425

605+

Ozone (O₃)

20.51 ppb

201

201+

Sulfur Dioxide (SO₂)

0.30 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

1.46 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.13 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Watertown City, New York

Get Live Pollen Counts

Watertown City, New York

Scroll To Air Quality Map

Track live Watertown City, New York air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T09:00:00.000Z	29 \| good	3.98 \| good	20.469 \| good	31.374 \| good	0.143 \| good	4.031 \| good	0.225 \| good
2025-10-19T10:00:00.000Z	30 \| good	4.065 \| good	17.396 \| good	32.07 \| good	0.162 \| good	3.229 \| good	0.222 \| good
2025-10-19T11:00:00.000Z	30 \| good	4.065 \| good	22.23 \| good	32.206 \| good	0.121 \| good	2.81 \| good	0.234 \| good
2025-10-19T12:00:00.000Z	31 \| good	4.058 \| good	18.521 \| good	32.681 \| good	0.2 \| good	2.891 \| good	0.234 \| good
2025-10-19T13:00:00.000Z	31 \| good	4.686 \| good	20.777 \| good	32.514 \| good	0.222 \| good	4.093 \| good	0.234 \| good
2025-10-19T14:00:00.000Z	31 \| good	4.772 \| good	21 \| good	32.512 \| good	0.31 \| good	2.875 \| good	0.176 \| good
2025-10-19T15:00:00.000Z	32 \| good	4.87 \| good	21.237 \| good	35.222 \| good	0.33 \| good	2.583 \| good	0.178 \| good
2025-10-19T16:00:00.000Z	31 \| good	4.761 \| good	20.674 \| good	32.919 \| good	0.327 \| good	2.192 \| good	0.176 \| good
2025-10-19T17:00:00.000Z	40 \| good	5.474 \| good	23.578 \| good	43.405 \| good	0.285 \| good	2.398 \| good	0.177 \| good
2025-10-19T18:00:00.000Z	41 \| good	6.92 \| good	25.701 \| good	44.187 \| good	0.264 \| good	2.169 \| good	0.161 \| good
2025-10-19T20:00:00.000Z	45 \| good	7.607 \| good	34.51 \| good	49.242 \| good	0.266 \| good	1.753 \| good	0.16 \| good
2025-10-19T21:00:00.000Z	49 \| good	9.477 \| good	40.221 \| good	49.406 \| good	0.307 \| good	1.447 \| good	0.162 \| good
2025-10-19T22:00:00.000Z	45 \| good	7.91 \| good	35.003 \| good	48.786 \| good	0.35 \| good	1.367 \| good	0.155 \| good
2025-10-19T23:00:00.000Z	49 \| good	8.92 \| good	40.858 \| good	48.202 \| good	0.289 \| good	1.857 \| good	0.157 \| good
2025-10-20T00:00:00.000Z	49 \| good	8.994 \| good	37.198 \| good	46.989 \| good	0.247 \| good	1.308 \| good	0.158 \| good
2025-10-20T01:00:00.000Z	49 \| good	9.042 \| good	39.778 \| good	46.822 \| good	0.267 \| good	1.866 \| good	0.157 \| good
2025-10-20T02:00:00.000Z	44 \| good	8.188 \| good	28.388 \| good	45.55 \| good	0.289 \| good	1.454 \| good	0.157 \| good
2025-10-20T03:00:00.000Z	49 \| good	8.714 \| good	37.054 \| good	46.538 \| good	0.377 \| good	1.516 \| good	0.156 \| good
2025-10-20T04:00:00.000Z	44 \| good	8.038 \| good	27.878 \| good	45.354 \| good	0.266 \| good	1.124 \| good	0.156 \| good
2025-10-20T05:00:00.000Z	41 \| good	5.32 \| good	19.045 \| good	44.326 \| good	0.264 \| good	1.005 \| good	0.155 \| good
2025-10-20T06:00:00.000Z	42 \| good	6.879 \| good	25.34 \| good	44.518 \| good	0.251 \| good	0.979 \| good	0.131 \| good
2025-10-20T07:00:00.000Z	44 \| good	8.16 \| good	22.055 \| good	45.327 \| good	0.247 \| good	0.877 \| good	0.107 \| good
2025-10-20T08:00:00.000Z	38 \| good	3.536 \| good	14.645 \| good	40.961 \| good	0.264 \| good	1.032 \| good	0.107 \| good
2025-10-20T09:00:00.000Z	37 \| good	4.669 \| good	10.199 \| good	39.605 \| good	0.241 \| good	1.066 \| good	0.103 \| good
2025-10-20T10:00:00.000Z	34 \| good	3.965 \| good	12.413 \| good	37.005 \| good	0.226 \| good	1.525 \| good	0.152 \| good
2025-10-20T11:00:00.000Z	34 \| good	3.2 \| good	9.643 \| good	37.226 \| good	0.251 \| good	1.882 \| good	0.204 \| good
2025-10-20T12:00:00.000Z	33 \| good	2.286 \| good	6.229 \| good	36.239 \| good	0.324 \| good	3.054 \| good	0.16 \| good
2025-10-20T13:00:00.000Z	33 \| good	1.744 \| good	6.24 \| good	35.911 \| good	0.249 \| good	2.364 \| good	0.136 \| good
2025-10-20T14:00:00.000Z	33 \| good	1.458 \| good	5.141 \| good	35.868 \| good	0.243 \| good	1.947 \| good	0.135 \| good
2025-10-20T15:00:00.000Z	33 \| good	1.409 \| good	5.493 \| good	35.822 \| good	0.324 \| good	1.389 \| good	0.136 \| good
2025-10-20T16:00:00.000Z	34 \| good	1.06 \| good	4.579 \| good	37.37 \| good	0.324 \| good	2.23 \| good	0.158 \| good
2025-10-20T17:00:00.000Z	33 \| good	1.066 \| good	4.225 \| good	36.333 \| good	0.325 \| good	1.703 \| good	0.158 \| good
2025-10-20T18:00:00.000Z	31 \| good	1.042 \| good	4.276 \| good	33.447 \| good	0.327 \| good	1.286 \| good	0.156 \| good
2025-10-20T19:00:00.000Z	23 \| good	1.072 \| good	4.801 \| good	24.89 \| good	0.462 \| good	1.364 \| good	0.177 \| good
2025-10-20T20:00:00.000Z	20 \| good	1.375 \| good	5.194 \| good	22.369 \| good	0.36 \| good	1.57 \| good	0.177 \| good
2025-10-20T21:00:00.000Z	20 \| good	1.505 \| good	5.275 \| good	21.911 \| good	0.308 \| good	1.334 \| good	0.201 \| good
2025-10-20T22:00:00.000Z	16 \| good	1.765 \| good	6.279 \| good	17.263 \| good	0.407 \| good	1.345 \| good	0.154 \| good
2025-10-20T23:00:00.000Z	18 \| good	1.787 \| good	8.228 \| good	19.437 \| good	0.36 \| good	1.306 \| good	0.134 \| good
2025-10-21T00:00:00.000Z	20 \| good	1.62 \| good	4.292 \| good	22.033 \| good	0.277 \| good	1.236 \| good	0.136 \| good
2025-10-21T01:00:00.000Z	21 \| good	2.557 \| good	9.638 \| good	23.208 \| good	0.258 \| good	1.404 \| good	0.141 \| good
2025-10-21T02:00:00.000Z	23 \| good	2.601 \| good	11.568 \| good	25.08 \| good	0.317 \| good	1.455 \| good	0.15 \| good
2025-10-21T03:00:00.000Z	28 \| good	1.055 \| good	4 \| good	29.829 \| good	0.135 \| good	1.004 \| good	0.104 \| good
2025-10-21T04:00:00.000Z	22 \| good	2.495 \| good	8.592 \| good	24.084 \| good	0.292 \| good	1.237 \| good	0.135 \| good
2025-10-21T05:00:00.000Z	21 \| good	2.255 \| good	8.824 \| good	22.803 \| good	0.292 \| good	1.439 \| good	0.149 \| good
2025-10-21T06:00:00.000Z	20 \| good	2.556 \| good	7.003 \| good	21.858 \| good	0.292 \| good	1.263 \| good	0.147 \| good
2025-10-21T07:00:00.000Z	19 \| good	2.539 \| good	6.473 \| good	20.079 \| good	0.291 \| good	1.209 \| good	0.137 \| good
2025-10-21T08:00:00.000Z	19 \| good	2.985 \| good	8.186 \| good	20.507 \| good	0.297 \| good	1.458 \| good	0.127 \| good
2025-10-21T08:00:00.000Z	19 \| good	2.985 \| good	8.186 \| good	20.507 \| good	0.297 \| good	1.458 \| good	0.127 \| good
2025-10-18T01:00:00.000Z	18 \| good	0.689 \| good	2.069 \| good	18.643 \| good	0.291 \| good	5.086 \| good	0.176 \| good
2025-10-18T02:00:00.000Z	19 \| good	0.671 \| good	2.048 \| good	19.522 \| good	0.297 \| good	5.33 \| good	0.179 \| good
2025-10-18T03:00:00.000Z	15 \| good	0.557 \| good	2 \| good	15.886 \| good	0.303 \| good	5.574 \| good	0.182 \| good
2025-10-18T04:00:00.000Z	14 \| good	0.623 \| good	2.009 \| good	14.946 \| good	0.277 \| good	4.791 \| good	0.175 \| good
2025-10-18T05:00:00.000Z	13 \| good	0.409 \| good	1.931 \| good	13.503 \| good	0.252 \| good	4.007 \| good	0.169 \| good
2025-10-18T06:00:00.000Z	11 \| good	0.395 \| good	1.094 \| good	12.105 \| good	0.227 \| good	3.223 \| good	0.162 \| good
2025-10-18T07:00:00.000Z	11 \| good	0.35 \| good	1.057 \| good	11.604 \| good	0.226 \| good	2.78 \| good	0.157 \| good
2025-10-18T08:00:00.000Z	8 \| good	0.469 \| good	1.938 \| good	8.606 \| good	0.226 \| good	2.337 \| good	0.153 \| good
2025-10-18T09:00:00.000Z	12 \| good	0.67 \| good	2.081 \| good	13.344 \| good	0.225 \| good	1.894 \| good	0.148 \| good
2025-10-18T10:00:00.000Z	12 \| good	0.381 \| good	1.051 \| good	13.299 \| good	0.237 \| good	1.99 \| good	0.148 \| good
2025-10-18T11:00:00.000Z	12 \| good	0.319 \| good	1.057 \| good	12.799 \| good	0.249 \| good	2.086 \| good	0.149 \| good
2025-10-18T12:00:00.000Z	15 \| good	0.385 \| good	1.11 \| good	16.027 \| good	0.261 \| good	2.182 \| good	0.149 \| good
2025-10-18T13:00:00.000Z	23 \| good	0.583 \| good	2.022 \| good	24.611 \| good	0.298 \| good	1.973 \| good	0.145 \| good
2025-10-18T14:00:00.000Z	27 \| good	0.809 \| good	3 \| good	28.721 \| good	0.336 \| good	1.764 \| good	0.142 \| good
2025-10-18T15:00:00.000Z	31 \| good	1.025 \| good	4.022 \| good	34.474 \| good	0.373 \| good	1.556 \| good	0.138 \| good
2025-10-18T16:00:00.000Z	40 \| good	1.248 \| good	5 \| good	42.596 \| good	0.426 \| good	1.548 \| good	0.137 \| good
2025-10-18T17:00:00.000Z	41 \| good	1.607 \| good	6.963 \| good	43.803 \| good	0.479 \| good	1.539 \| good	0.136 \| good
2025-10-18T18:00:00.000Z	40 \| good	2.238 \| good	9.021 \| good	42.997 \| good	0.532 \| good	1.531 \| good	0.135 \| good
2025-10-18T19:00:00.000Z	34 \| good	2.403 \| good	10 \| good	36.977 \| good	0.493 \| good	1.667 \| good	0.138 \| good
2025-10-18T20:00:00.000Z	37 \| good	2.364 \| good	9.957 \| good	40.485 \| good	0.454 \| good	1.803 \| good	0.14 \| good
2025-10-18T21:00:00.000Z	35 \| good	1.864 \| good	7.946 \| good	37.915 \| good	0.416 \| good	1.939 \| good	0.142 \| good
2025-10-18T22:00:00.000Z	31 \| good	1.725 \| good	6.983 \| good	33.757 \| good	0.397 \| good	2.148 \| good	0.144 \| good
2025-10-18T23:00:00.000Z	27 \| good	2.149 \| good	8.955 \| good	28.559 \| good	0.378 \| good	2.357 \| good	0.146 \| good
2025-10-19T00:00:00.000Z	32 \| good	2.388 \| good	9.973 \| good	35.43 \| good	0.359 \| good	2.566 \| good	0.148 \| good
2025-10-19T01:00:00.000Z	32 \| good	2.712 \| good	11.005 \| good	35.142 \| good	0.725 \| good	2.586 \| good	0.149 \| good
2025-10-19T02:00:00.000Z	31 \| good	2.881 \| good	11.989 \| good	33.896 \| good	1.091 \| good	2.606 \| good	0.149 \| good
2025-10-19T03:00:00.000Z	30 \| good	3.259 \| good	14.068 \| good	32.296 \| good	1.458 \| good	2.626 \| good	0.15 \| good
2025-10-19T04:00:00.000Z	33 \| good	3.689 \| good	16.008 \| good	36.307 \| good	1.944 \| good	2.612 \| good	0.155 \| good
2025-10-19T05:00:00.000Z	35 \| good	4.201 \| good	18.94 \| good	38.096 \| good	2.43 \| good	2.599 \| good	0.161 \| good
2025-10-19T06:00:00.000Z	34 \| good	4.664 \| good	20.051 \| good	37.493 \| good	2.916 \| good	2.585 \| good	0.166 \| good
2025-10-19T07:00:00.000Z	35 \| good	5.391 \| good	23.008 \| good	38.323 \| good	3.043 \| good	2.572 \| good	0.172 \| good
2025-10-19T08:00:00.000Z	34 \| good	5.909 \| good	26.851 \| good	37.185 \| good	3.17 \| good	2.559 \| good	0.177 \| good
2025-10-19T09:00:00.000Z	33 \| good	5.53 \| good	23.97 \| good	34.753 \| good	3.297 \| good	2.546 \| good	0.183 \| good
2025-10-19T10:00:00.000Z	32 \| good	5.422 \| good	23.008 \| good	34.588 \| good	3.206 \| good	2.736 \| good	0.182 \| good
2025-10-19T11:00:00.000Z	31 \| good	5.491 \| good	23.073 \| good	34.253 \| good	3.114 \| good	2.926 \| good	0.181 \| good
2025-10-19T12:00:00.000Z	35 \| good	5.7 \| good	24.905 \| good	38.001 \| good	3.023 \| good	3.117 \| good	0.181 \| good
2025-10-19T13:00:00.000Z	40 \| good	6.318 \| good	28 \| good	42.708 \| good	2.833 \| good	2.978 \| good	0.184 \| good
2025-10-19T14:00:00.000Z	41 \| good	6.772 \| good	29.991 \| good	43.849 \| good	2.642 \| good	2.838 \| good	0.188 \| good
2025-10-19T15:00:00.000Z	43 \| good	7.474 \| good	33.009 \| good	46.04 \| good	2.452 \| good	2.699 \| good	0.192 \| good
2025-10-19T16:00:00.000Z	44 \| good	8.078 \| good	35.039 \| good	46.882 \| good	2.36 \| good	2.253 \| good	0.191 \| good
2025-10-19T17:00:00.000Z	46 \| good	7.999 \| good	34.991 \| good	50.389 \| good	2.267 \| good	1.806 \| good	0.19 \| good
2025-10-19T18:00:00.000Z	49 \| good	7.94 \| good	34.958 \| good	52.567 \| good	2.175 \| good	1.359 \| good	0.189 \| good
2025-10-19T19:00:00.000Z	48 \| good	7.92 \| good	34.951 \| good	52.284 \| good	2.005 \| good	1.421 \| good	0.184 \| good
2025-10-19T20:00:00.000Z	47 \| good	6.919 \| good	30.943 \| good	50.858 \| good	1.835 \| good	1.483 \| good	0.179 \| good
2025-10-19T21:00:00.000Z	47 \| good	6.558 \| good	29.019 \| good	51.467 \| good	1.665 \| good	1.545 \| good	0.175 \| good
2025-10-19T22:00:00.000Z	44 \| good	6.082 \| good	27.008 \| good	48.442 \| good	1.429 \| good	1.683 \| good	0.172 \| good
2025-10-19T23:00:00.000Z	45 \| good	5.607 \| good	23.963 \| good	48.991 \| good	1.192 \| good	1.821 \| good	0.168 \| good
2025-10-20T00:00:00.000Z	61 \| moderate	12.775 \| fine	12.855 \| good	58.38 \| fine	0.955 \| good	1.958 \| good	0.165 \| good

Watertown city

Empower business decisions with accurate air quality data

Real-time air quality map: Monitor AQI near Watertown City, New York

0.10ppm

How accurate is New York, USA air quality data?

The air quality data for New York, 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 City, New York get updated?

Air quality updates for Watertown City, New York are available every hour.

What time in the past 24 hours saw the poorest air quality in Watertown City, New York?

Watertown City, New York experienced its worst air quality at 08:00:00, 2025-10-20.

When was air quality in Watertown City, New York the best over the past 24 hours?

The best air quality in Watertown City, New York was observed at 10:00:00 on 2025-10-20.

What is the air quality in Watertown City, New York right now?

The air quality in Watertown City, New York right now is Good, with an AQI of 19.

What pollutant is most frequently found in Watertown City, New York?

In Watertown City, New York, O3 is the most frequently found pollutant.

What can I do if the air quality in Watertown City, New York is poor?

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

What is the PM_2.5 concentration in Watertown City, New York right now?

Watertown City, New York currently has a PM_2.5 concentration of 2.985 μg/m³.

What is the current level of PM₁₀ in Watertown City, New York?

Watertown City, New York currently has a PM₁₀ concentration of 8.186 μg/m³.

What is the current level of carbon monoxide (CO) in Watertown City, New York?

The current carbon monoxide (CO) level in Watertown City, New York is 0.127 ppm.

What is the current level of sulfur dioxide (SO₂) in Watertown City, New York?

The current sulfur dioxide (SO₂) concentration in Watertown City, New York is 0.297 ppb.

What is the current level of ozone (O₃) in Watertown City, New York?

Watertown City, New York currently has an ozone (O₃) concentration of 20.507 ppm.

What is the current level of nitrogen dioxide (NO₂) in Watertown City, New York?

The current level of nitrogen dioxide (NO₂) in Watertown City, New York is 1.458 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T09:00:00.000Z	29 \| good	3.98 \| good	20.469 \| good	31.374 \| good	0.143 \| good	4.031 \| good	0.225 \| good
2025-10-19T10:00:00.000Z	30 \| good	4.065 \| good	17.396 \| good	32.07 \| good	0.162 \| good	3.229 \| good	0.222 \| good
2025-10-19T11:00:00.000Z	30 \| good	4.065 \| good	22.23 \| good	32.206 \| good	0.121 \| good	2.81 \| good	0.234 \| good
2025-10-19T12:00:00.000Z	31 \| good	4.058 \| good	18.521 \| good	32.681 \| good	0.2 \| good	2.891 \| good	0.234 \| good
2025-10-19T13:00:00.000Z	31 \| good	4.686 \| good	20.777 \| good	32.514 \| good	0.222 \| good	4.093 \| good	0.234 \| good
2025-10-19T14:00:00.000Z	31 \| good	4.772 \| good	21 \| good	32.512 \| good	0.31 \| good	2.875 \| good	0.176 \| good
2025-10-19T15:00:00.000Z	32 \| good	4.87 \| good	21.237 \| good	35.222 \| good	0.33 \| good	2.583 \| good	0.178 \| good
2025-10-19T16:00:00.000Z	31 \| good	4.761 \| good	20.674 \| good	32.919 \| good	0.327 \| good	2.192 \| good	0.176 \| good
2025-10-19T17:00:00.000Z	40 \| good	5.474 \| good	23.578 \| good	43.405 \| good	0.285 \| good	2.398 \| good	0.177 \| good
2025-10-19T18:00:00.000Z	41 \| good	6.92 \| good	25.701 \| good	44.187 \| good	0.264 \| good	2.169 \| good	0.161 \| good
2025-10-19T20:00:00.000Z	45 \| good	7.607 \| good	34.51 \| good	49.242 \| good	0.266 \| good	1.753 \| good	0.16 \| good
2025-10-19T21:00:00.000Z	49 \| good	9.477 \| good	40.221 \| good	49.406 \| good	0.307 \| good	1.447 \| good	0.162 \| good
2025-10-19T22:00:00.000Z	45 \| good	7.91 \| good	35.003 \| good	48.786 \| good	0.35 \| good	1.367 \| good	0.155 \| good
2025-10-19T23:00:00.000Z	49 \| good	8.92 \| good	40.858 \| good	48.202 \| good	0.289 \| good	1.857 \| good	0.157 \| good
2025-10-20T00:00:00.000Z	49 \| good	8.994 \| good	37.198 \| good	46.989 \| good	0.247 \| good	1.308 \| good	0.158 \| good
2025-10-20T01:00:00.000Z	49 \| good	9.042 \| good	39.778 \| good	46.822 \| good	0.267 \| good	1.866 \| good	0.157 \| good
2025-10-20T02:00:00.000Z	44 \| good	8.188 \| good	28.388 \| good	45.55 \| good	0.289 \| good	1.454 \| good	0.157 \| good
2025-10-20T03:00:00.000Z	49 \| good	8.714 \| good	37.054 \| good	46.538 \| good	0.377 \| good	1.516 \| good	0.156 \| good
2025-10-20T04:00:00.000Z	44 \| good	8.038 \| good	27.878 \| good	45.354 \| good	0.266 \| good	1.124 \| good	0.156 \| good
2025-10-20T05:00:00.000Z	41 \| good	5.32 \| good	19.045 \| good	44.326 \| good	0.264 \| good	1.005 \| good	0.155 \| good
2025-10-20T06:00:00.000Z	42 \| good	6.879 \| good	25.34 \| good	44.518 \| good	0.251 \| good	0.979 \| good	0.131 \| good
2025-10-20T07:00:00.000Z	44 \| good	8.16 \| good	22.055 \| good	45.327 \| good	0.247 \| good	0.877 \| good	0.107 \| good
2025-10-20T08:00:00.000Z	38 \| good	3.536 \| good	14.645 \| good	40.961 \| good	0.264 \| good	1.032 \| good	0.107 \| good
2025-10-20T09:00:00.000Z	37 \| good	4.669 \| good	10.199 \| good	39.605 \| good	0.241 \| good	1.066 \| good	0.103 \| good
2025-10-20T10:00:00.000Z	34 \| good	3.965 \| good	12.413 \| good	37.005 \| good	0.226 \| good	1.525 \| good	0.152 \| good
2025-10-20T11:00:00.000Z	34 \| good	3.2 \| good	9.643 \| good	37.226 \| good	0.251 \| good	1.882 \| good	0.204 \| good
2025-10-20T12:00:00.000Z	33 \| good	2.286 \| good	6.229 \| good	36.239 \| good	0.324 \| good	3.054 \| good	0.16 \| good
2025-10-20T13:00:00.000Z	33 \| good	1.744 \| good	6.24 \| good	35.911 \| good	0.249 \| good	2.364 \| good	0.136 \| good
2025-10-20T14:00:00.000Z	33 \| good	1.458 \| good	5.141 \| good	35.868 \| good	0.243 \| good	1.947 \| good	0.135 \| good
2025-10-20T15:00:00.000Z	33 \| good	1.409 \| good	5.493 \| good	35.822 \| good	0.324 \| good	1.389 \| good	0.136 \| good
2025-10-20T16:00:00.000Z	34 \| good	1.06 \| good	4.579 \| good	37.37 \| good	0.324 \| good	2.23 \| good	0.158 \| good
2025-10-20T17:00:00.000Z	33 \| good	1.066 \| good	4.225 \| good	36.333 \| good	0.325 \| good	1.703 \| good	0.158 \| good
2025-10-20T18:00:00.000Z	31 \| good	1.042 \| good	4.276 \| good	33.447 \| good	0.327 \| good	1.286 \| good	0.156 \| good
2025-10-20T19:00:00.000Z	23 \| good	1.072 \| good	4.801 \| good	24.89 \| good	0.462 \| good	1.364 \| good	0.177 \| good
2025-10-20T20:00:00.000Z	20 \| good	1.375 \| good	5.194 \| good	22.369 \| good	0.36 \| good	1.57 \| good	0.177 \| good
2025-10-20T21:00:00.000Z	20 \| good	1.505 \| good	5.275 \| good	21.911 \| good	0.308 \| good	1.334 \| good	0.201 \| good
2025-10-20T22:00:00.000Z	16 \| good	1.765 \| good	6.279 \| good	17.263 \| good	0.407 \| good	1.345 \| good	0.154 \| good
2025-10-20T23:00:00.000Z	18 \| good	1.787 \| good	8.228 \| good	19.437 \| good	0.36 \| good	1.306 \| good	0.134 \| good
2025-10-21T00:00:00.000Z	20 \| good	1.62 \| good	4.292 \| good	22.033 \| good	0.277 \| good	1.236 \| good	0.136 \| good
2025-10-21T01:00:00.000Z	21 \| good	2.557 \| good	9.638 \| good	23.208 \| good	0.258 \| good	1.404 \| good	0.141 \| good
2025-10-21T02:00:00.000Z	23 \| good	2.601 \| good	11.568 \| good	25.08 \| good	0.317 \| good	1.455 \| good	0.15 \| good
2025-10-21T03:00:00.000Z	28 \| good	1.055 \| good	4 \| good	29.829 \| good	0.135 \| good	1.004 \| good	0.104 \| good
2025-10-21T04:00:00.000Z	22 \| good	2.495 \| good	8.592 \| good	24.084 \| good	0.292 \| good	1.237 \| good	0.135 \| good
2025-10-21T05:00:00.000Z	21 \| good	2.255 \| good	8.824 \| good	22.803 \| good	0.292 \| good	1.439 \| good	0.149 \| good
2025-10-21T06:00:00.000Z	20 \| good	2.556 \| good	7.003 \| good	21.858 \| good	0.292 \| good	1.263 \| good	0.147 \| good
2025-10-21T07:00:00.000Z	19 \| good	2.539 \| good	6.473 \| good	20.079 \| good	0.291 \| good	1.209 \| good	0.137 \| good
2025-10-21T08:00:00.000Z	19 \| good	2.985 \| good	8.186 \| good	20.507 \| good	0.297 \| good	1.458 \| good	0.127 \| good
2025-10-21T08:00:00.000Z	19 \| good	2.985 \| good	8.186 \| good	20.507 \| good	0.297 \| good	1.458 \| good	0.127 \| good
2025-10-18T01:00:00.000Z	18 \| good	0.689 \| good	2.069 \| good	18.643 \| good	0.291 \| good	5.086 \| good	0.176 \| good
2025-10-18T02:00:00.000Z	19 \| good	0.671 \| good	2.048 \| good	19.522 \| good	0.297 \| good	5.33 \| good	0.179 \| good
2025-10-18T03:00:00.000Z	15 \| good	0.557 \| good	2 \| good	15.886 \| good	0.303 \| good	5.574 \| good	0.182 \| good
2025-10-18T04:00:00.000Z	14 \| good	0.623 \| good	2.009 \| good	14.946 \| good	0.277 \| good	4.791 \| good	0.175 \| good
2025-10-18T05:00:00.000Z	13 \| good	0.409 \| good	1.931 \| good	13.503 \| good	0.252 \| good	4.007 \| good	0.169 \| good
2025-10-18T06:00:00.000Z	11 \| good	0.395 \| good	1.094 \| good	12.105 \| good	0.227 \| good	3.223 \| good	0.162 \| good
2025-10-18T07:00:00.000Z	11 \| good	0.35 \| good	1.057 \| good	11.604 \| good	0.226 \| good	2.78 \| good	0.157 \| good
2025-10-18T08:00:00.000Z	8 \| good	0.469 \| good	1.938 \| good	8.606 \| good	0.226 \| good	2.337 \| good	0.153 \| good
2025-10-18T09:00:00.000Z	12 \| good	0.67 \| good	2.081 \| good	13.344 \| good	0.225 \| good	1.894 \| good	0.148 \| good
2025-10-18T10:00:00.000Z	12 \| good	0.381 \| good	1.051 \| good	13.299 \| good	0.237 \| good	1.99 \| good	0.148 \| good
2025-10-18T11:00:00.000Z	12 \| good	0.319 \| good	1.057 \| good	12.799 \| good	0.249 \| good	2.086 \| good	0.149 \| good
2025-10-18T12:00:00.000Z	15 \| good	0.385 \| good	1.11 \| good	16.027 \| good	0.261 \| good	2.182 \| good	0.149 \| good
2025-10-18T13:00:00.000Z	23 \| good	0.583 \| good	2.022 \| good	24.611 \| good	0.298 \| good	1.973 \| good	0.145 \| good
2025-10-18T14:00:00.000Z	27 \| good	0.809 \| good	3 \| good	28.721 \| good	0.336 \| good	1.764 \| good	0.142 \| good
2025-10-18T15:00:00.000Z	31 \| good	1.025 \| good	4.022 \| good	34.474 \| good	0.373 \| good	1.556 \| good	0.138 \| good
2025-10-18T16:00:00.000Z	40 \| good	1.248 \| good	5 \| good	42.596 \| good	0.426 \| good	1.548 \| good	0.137 \| good
2025-10-18T17:00:00.000Z	41 \| good	1.607 \| good	6.963 \| good	43.803 \| good	0.479 \| good	1.539 \| good	0.136 \| good
2025-10-18T18:00:00.000Z	40 \| good	2.238 \| good	9.021 \| good	42.997 \| good	0.532 \| good	1.531 \| good	0.135 \| good
2025-10-18T19:00:00.000Z	34 \| good	2.403 \| good	10 \| good	36.977 \| good	0.493 \| good	1.667 \| good	0.138 \| good
2025-10-18T20:00:00.000Z	37 \| good	2.364 \| good	9.957 \| good	40.485 \| good	0.454 \| good	1.803 \| good	0.14 \| good
2025-10-18T21:00:00.000Z	35 \| good	1.864 \| good	7.946 \| good	37.915 \| good	0.416 \| good	1.939 \| good	0.142 \| good
2025-10-18T22:00:00.000Z	31 \| good	1.725 \| good	6.983 \| good	33.757 \| good	0.397 \| good	2.148 \| good	0.144 \| good
2025-10-18T23:00:00.000Z	27 \| good	2.149 \| good	8.955 \| good	28.559 \| good	0.378 \| good	2.357 \| good	0.146 \| good
2025-10-19T00:00:00.000Z	32 \| good	2.388 \| good	9.973 \| good	35.43 \| good	0.359 \| good	2.566 \| good	0.148 \| good
2025-10-19T01:00:00.000Z	32 \| good	2.712 \| good	11.005 \| good	35.142 \| good	0.725 \| good	2.586 \| good	0.149 \| good
2025-10-19T02:00:00.000Z	31 \| good	2.881 \| good	11.989 \| good	33.896 \| good	1.091 \| good	2.606 \| good	0.149 \| good
2025-10-19T03:00:00.000Z	30 \| good	3.259 \| good	14.068 \| good	32.296 \| good	1.458 \| good	2.626 \| good	0.15 \| good
2025-10-19T04:00:00.000Z	33 \| good	3.689 \| good	16.008 \| good	36.307 \| good	1.944 \| good	2.612 \| good	0.155 \| good
2025-10-19T05:00:00.000Z	35 \| good	4.201 \| good	18.94 \| good	38.096 \| good	2.43 \| good	2.599 \| good	0.161 \| good
2025-10-19T06:00:00.000Z	34 \| good	4.664 \| good	20.051 \| good	37.493 \| good	2.916 \| good	2.585 \| good	0.166 \| good
2025-10-19T07:00:00.000Z	35 \| good	5.391 \| good	23.008 \| good	38.323 \| good	3.043 \| good	2.572 \| good	0.172 \| good
2025-10-19T08:00:00.000Z	34 \| good	5.909 \| good	26.851 \| good	37.185 \| good	3.17 \| good	2.559 \| good	0.177 \| good
2025-10-19T09:00:00.000Z	33 \| good	5.53 \| good	23.97 \| good	34.753 \| good	3.297 \| good	2.546 \| good	0.183 \| good
2025-10-19T10:00:00.000Z	32 \| good	5.422 \| good	23.008 \| good	34.588 \| good	3.206 \| good	2.736 \| good	0.182 \| good
2025-10-19T11:00:00.000Z	31 \| good	5.491 \| good	23.073 \| good	34.253 \| good	3.114 \| good	2.926 \| good	0.181 \| good
2025-10-19T12:00:00.000Z	35 \| good	5.7 \| good	24.905 \| good	38.001 \| good	3.023 \| good	3.117 \| good	0.181 \| good
2025-10-19T13:00:00.000Z	40 \| good	6.318 \| good	28 \| good	42.708 \| good	2.833 \| good	2.978 \| good	0.184 \| good
2025-10-19T14:00:00.000Z	41 \| good	6.772 \| good	29.991 \| good	43.849 \| good	2.642 \| good	2.838 \| good	0.188 \| good
2025-10-19T15:00:00.000Z	43 \| good	7.474 \| good	33.009 \| good	46.04 \| good	2.452 \| good	2.699 \| good	0.192 \| good
2025-10-19T16:00:00.000Z	44 \| good	8.078 \| good	35.039 \| good	46.882 \| good	2.36 \| good	2.253 \| good	0.191 \| good
2025-10-19T17:00:00.000Z	46 \| good	7.999 \| good	34.991 \| good	50.389 \| good	2.267 \| good	1.806 \| good	0.19 \| good
2025-10-19T18:00:00.000Z	49 \| good	7.94 \| good	34.958 \| good	52.567 \| good	2.175 \| good	1.359 \| good	0.189 \| good
2025-10-19T19:00:00.000Z	48 \| good	7.92 \| good	34.951 \| good	52.284 \| good	2.005 \| good	1.421 \| good	0.184 \| good
2025-10-19T20:00:00.000Z	47 \| good	6.919 \| good	30.943 \| good	50.858 \| good	1.835 \| good	1.483 \| good	0.179 \| good
2025-10-19T21:00:00.000Z	47 \| good	6.558 \| good	29.019 \| good	51.467 \| good	1.665 \| good	1.545 \| good	0.175 \| good
2025-10-19T22:00:00.000Z	44 \| good	6.082 \| good	27.008 \| good	48.442 \| good	1.429 \| good	1.683 \| good	0.172 \| good
2025-10-19T23:00:00.000Z	45 \| good	5.607 \| good	23.963 \| good	48.991 \| good	1.192 \| good	1.821 \| good	0.168 \| good
2025-10-20T00:00:00.000Z	61 \| moderate	12.775 \| fine	12.855 \| good	58.38 \| fine	0.955 \| good	1.958 \| good	0.165 \| good

Current air quality index in Watertown City, New York today

Common air pollutants in Watertown City, New York

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Watertown City, New York air quality forecast and history

Empower business decisions with accurate air quality data

Real-time air quality map: Monitor AQI near Watertown City, New York

Air quality in nearby cities

Watertown City, New York

Le Ray, New York

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Clay, New York

Cicero, New York

Canton Town, New York

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Air quality levels in US

Frequently asked questions

How frequently does the air quality data for Watertown City, New York get updated?

What time in the past 24 hours saw the poorest air quality in Watertown City, New York?

When was air quality in Watertown City, New York the best over the past 24 hours?

What is the air quality in Watertown City, New York right now?

What pollutant is most frequently found in Watertown City, New York?

What can I do if the air quality in Watertown City, New York is poor?

What is the PM2.5 concentration in Watertown City, New York right now?

What is the current level of PM10 in Watertown City, New York?

What is the current level of carbon monoxide (CO) in Watertown City, New York?

What is the current level of sulfur dioxide (SO2) in Watertown City, New York?

What is the current level of ozone (O3) in Watertown City, New York?

What is the current level of nitrogen dioxide (NO2) in Watertown City, New York?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What is the PM_2.5 concentration in Watertown City, New York right now?

What is the current level of PM₁₀ in Watertown City, New York?

What is the current level of sulfur dioxide (SO₂) in Watertown City, New York?

What is the current level of ozone (O₃) in Watertown City, New York?

What is the current level of nitrogen dioxide (NO₂) in Watertown City, New York?