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

Watertown City, New York currently has a PM10 concentration of 19.71 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 0.698 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 18.749 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 2.77 ppb.

Current air quality index in Watertown City, New York today

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

Watertown City, New York currently has a PM2.5 concentration of 4.459 μg/m3.

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)

4.46 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

19.71 μg/m³

155

255

425

605+

Ozone (O₃)

18.75 ppb

201

201+

Sulfur Dioxide (SO₂)

0.70 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

2.77 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.21 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
2026-09-27T02:00:00.000Z	27 \| good	5.103 \| good	26.743 \| good	22.62 \| good	3.653 \| good	3.827 \| good	0.182 \| good
2026-09-27T03:00:00.000Z	33 \| good	6.06 \| good	27 \| good	19.952 \| good	0.576 \| good	2.131 \| good	0.152 \| good
2026-09-27T04:00:00.000Z	33 \| good	5.534 \| good	23.674 \| good	22.725 \| good	0.767 \| good	2.605 \| good	0.172 \| good
2026-09-27T05:00:00.000Z	27 \| good	4.698 \| good	18.485 \| good	18.805 \| good	0.884 \| good	2.706 \| good	0.168 \| good
2026-09-27T06:00:00.000Z	27 \| good	5.23 \| good	22.614 \| good	18.77 \| good	0.843 \| good	1.737 \| good	0.191 \| good
2026-09-27T07:00:00.000Z	27 \| good	4.756 \| good	21.51 \| good	16.992 \| good	0.797 \| good	1.802 \| good	0.165 \| good
2026-09-27T08:00:00.000Z	22 \| good	4.273 \| good	23.408 \| good	15.271 \| good	0.938 \| good	1.747 \| good	0.154 \| good
2026-09-27T09:00:00.000Z	22 \| good	4.303 \| good	17.911 \| good	16.258 \| good	0.985 \| good	1.695 \| good	0.14 \| good
2026-09-27T10:00:00.000Z	27 \| good	4.619 \| good	20.828 \| good	20.705 \| good	0.704 \| good	1.824 \| good	0.159 \| good
2026-09-27T11:00:00.000Z	22 \| good	3.716 \| good	19.653 \| good	16.884 \| good	0.702 \| good	2.025 \| good	0.161 \| good
2026-09-27T12:00:00.000Z	22 \| good	4.051 \| good	17.466 \| good	16.889 \| good	0.502 \| good	2.203 \| good	0.159 \| good
2026-09-27T13:00:00.000Z	21 \| good	3.406 \| good	22.784 \| good	15.59 \| good	0.506 \| good	2.044 \| good	0.164 \| good
2026-09-27T14:00:00.000Z	22 \| good	4.02 \| good	20.437 \| good	20.961 \| good	0.982 \| good	1.074 \| good	0.161 \| good
2026-09-27T15:00:00.000Z	22 \| good	3.414 \| good	14.226 \| good	23.997 \| good	0.654 \| good	1.07 \| good	0.159 \| good
2026-09-27T16:00:00.000Z	22 \| good	4.143 \| good	19.494 \| good	23.654 \| good	0.566 \| good	1.476 \| good	0.157 \| good
2026-09-27T17:00:00.000Z	23 \| good	4.127 \| good	18.714 \| good	25.05 \| good	0.501 \| good	1.003 \| good	0.157 \| good
2026-09-27T18:00:00.000Z	24 \| good	4.454 \| good	20.295 \| good	26.455 \| good	0.153 \| good	1.09 \| good	0.154 \| good
2026-09-27T19:00:00.000Z	27 \| good	3.98 \| good	16.241 \| good	29.432 \| good	0.1 \| good	1.131 \| good	0.129 \| good
2026-09-27T20:00:00.000Z	26 \| good	4.181 \| good	17.846 \| good	27.962 \| good	0.1 \| good	1.291 \| good	0.131 \| good
2026-09-27T21:00:00.000Z	25 \| good	3.938 \| good	13.456 \| good	27.44 \| good	0.145 \| good	1.321 \| good	0.13 \| good
2026-09-27T22:00:00.000Z	26 \| good	3.392 \| good	15.458 \| good	27.737 \| good	0.169 \| good	1.674 \| good	0.13 \| good
2026-09-27T23:00:00.000Z	28 \| good	4.109 \| good	16.186 \| good	29.905 \| good	0.398 \| good	1.726 \| good	0.156 \| good
2026-09-28T00:00:00.000Z	27 \| good	4.123 \| good	16.474 \| good	29.103 \| good	0.332 \| good	1.842 \| good	0.158 \| good
2026-09-28T01:00:00.000Z	26 \| good	3.99 \| good	14.594 \| good	27.691 \| good	0.143 \| good	2.046 \| good	0.158 \| good
2026-09-28T02:00:00.000Z	24 \| good	4.137 \| good	13.518 \| good	25.967 \| good	0.122 \| good	2.113 \| good	0.152 \| good
2026-09-28T03:00:00.000Z	21 \| good	1.824 \| good	7.916 \| good	23.002 \| good	0.347 \| good	1.744 \| good	0.142 \| good
2026-09-28T04:00:00.000Z	22 \| good	4.087 \| good	18.594 \| good	20.1 \| good	0.1 \| good	1.957 \| good	0.155 \| good
2026-09-28T05:00:00.000Z	22 \| good	3.916 \| good	15.632 \| good	21.377 \| good	0.61 \| good	2.019 \| good	0.15 \| good
2026-09-28T06:00:00.000Z	19 \| good	3.277 \| good	10.629 \| good	20.54 \| good	0.169 \| good	1.7 \| good	0.127 \| good
2026-09-28T07:00:00.000Z	22 \| good	3.818 \| good	17.56 \| good	19.969 \| good	0.21 \| good	1.291 \| good	0.129 \| good
2026-09-28T08:00:00.000Z	19 \| good	2.99 \| good	14.589 \| good	19.922 \| good	0.175 \| good	1.8 \| good	0.129 \| good
2026-09-28T09:00:00.000Z	17 \| good	3.101 \| good	13.134 \| good	17.849 \| good	0.387 \| good	1.896 \| good	0.149 \| good
2026-09-28T10:00:00.000Z	18 \| good	3.258 \| good	12.975 \| good	18.626 \| good	0.279 \| good	1.867 \| good	0.159 \| good
2026-09-28T11:00:00.000Z	22 \| good	3.645 \| good	17.037 \| good	18.481 \| good	0.141 \| good	2.466 \| good	0.136 \| good
2026-09-28T12:00:00.000Z	22 \| good	3.611 \| good	14.94 \| good	18.896 \| good	0.176 \| good	2.601 \| good	0.159 \| good
2026-09-28T13:00:00.000Z	22 \| good	4.05 \| good	15.732 \| good	15.802 \| good	0.194 \| good	4.651 \| good	0.163 \| good
2026-09-28T14:00:00.000Z	22 \| good	3.728 \| good	18.615 \| good	14.176 \| good	0.188 \| good	3.437 \| good	0.163 \| good
2026-09-28T15:00:00.000Z	22 \| good	3.92 \| good	17.176 \| good	14.502 \| good	0.153 \| good	2.64 \| good	0.163 \| good
2026-09-28T16:00:00.000Z	22 \| good	3.96 \| good	18.651 \| good	17.41 \| good	0.269 \| good	2.028 \| good	0.175 \| good
2026-09-28T17:00:00.000Z	22 \| good	4.123 \| good	17.018 \| good	21.281 \| good	0.273 \| good	1.873 \| good	0.175 \| good
2026-09-28T18:00:00.000Z	22 \| good	4.207 \| good	15.797 \| good	21.644 \| good	0.192 \| good	1.64 \| good	0.158 \| good
2026-09-28T19:00:00.000Z	23 \| good	3.783 \| good	13.443 \| good	24.726 \| good	0.212 \| good	1.663 \| good	0.156 \| good
2026-09-28T20:00:00.000Z	24 \| good	3.939 \| good	16.885 \| good	25.86 \| good	0.348 \| good	1.868 \| good	0.174 \| good
2026-09-28T21:00:00.000Z	27 \| good	4.935 \| good	12.767 \| good	24.2 \| good	0.356 \| good	2.119 \| good	0.174 \| good
2026-09-28T22:00:00.000Z	22 \| good	3.86 \| good	16.234 \| good	23.678 \| good	0.848 \| good	1.995 \| good	0.174 \| good
2026-09-28T23:00:00.000Z	22 \| good	4.374 \| good	18.748 \| good	22.366 \| good	0.56 \| good	2.809 \| good	0.176 \| good
2026-09-29T00:00:00.000Z	22 \| good	4.459 \| good	19.71 \| good	18.749 \| good	0.698 \| good	2.77 \| good	0.212 \| good
2026-09-29T01:00:00.000Z	22 \| good	4.039 \| good	12.238 \| good	15.992 \| good	0.465 \| good	2.55 \| good	0.18 \| good
2026-09-29T01:00:00.000Z	22 \| good	4.459 \| good	19.71 \| good	18.749 \| good	0.698 \| good	2.77 \| good	0.212 \| good
2026-09-29T02:00:00.000Z	38 \| good	7.025 \| good	30.993 \| good	20.081 \| good	0.624 \| good	3.449 \| good	0.162 \| good
2026-09-29T03:00:00.000Z	38 \| good	7.442 \| good	32.978 \| good	15.312 \| good	0.641 \| good	3.457 \| good	0.163 \| good
2026-09-29T04:00:00.000Z	38 \| good	7.084 \| good	31.072 \| good	13.49 \| good	0.643 \| good	3.431 \| good	0.165 \| good
2026-09-29T05:00:00.000Z	38 \| good	7.063 \| good	31.064 \| good	11.352 \| good	0.634 \| good	3.343 \| good	0.166 \| good
2026-09-29T06:00:00.000Z	38 \| good	6.841 \| good	30.052 \| good	10.842 \| good	0.631 \| good	3.197 \| good	0.167 \| good
2026-09-29T07:00:00.000Z	38 \| good	6.797 \| good	30.05 \| good	13.394 \| good	0.661 \| good	2.942 \| good	0.167 \| good
2026-09-29T08:00:00.000Z	33 \| good	6.205 \| good	27.964 \| good	13.168 \| good	0.682 \| good	2.752 \| good	0.166 \| good
2026-09-29T09:00:00.000Z	33 \| good	5.787 \| good	25.088 \| good	10.468 \| good	0.688 \| good	2.6 \| good	0.166 \| good
2026-09-29T10:00:00.000Z	33 \| good	5.607 \| good	24.058 \| good	8.649 \| good	0.668 \| good	2.507 \| good	0.165 \| good
2026-09-29T11:00:00.000Z	27 \| good	4.8 \| good	20.987 \| good	10.323 \| good	0.637 \| good	2.454 \| good	0.163 \| good
2026-09-29T12:00:00.000Z	22 \| good	4.252 \| good	18.955 \| good	11.885 \| good	0.622 \| good	2.373 \| good	0.161 \| good
2026-09-29T13:00:00.000Z	16 \| good	2.976 \| good	12.137 \| good	15.509 \| good	0.637 \| good	2.093 \| good	0.158 \| good
2026-09-29T14:00:00.000Z	19 \| good	2.476 \| good	10.034 \| good	20.471 \| good	0.64 \| good	1.88 \| good	0.155 \| good
2026-09-29T15:00:00.000Z	18 \| good	2.544 \| good	10.054 \| good	18.958 \| good	0.642 \| good	1.514 \| good	0.151 \| good
2026-09-29T16:00:00.000Z	20 \| good	3.107 \| good	13.885 \| good	21.949 \| good	0.627 \| good	1.264 \| good	0.149 \| good
2026-09-29T17:00:00.000Z	22 \| good	3.735 \| good	16 \| good	22.245 \| good	0.596 \| good	1.042 \| good	0.147 \| good
2026-09-29T18:00:00.000Z	22 \| good	3.888 \| good	16.959 \| good	24.348 \| good	0.554 \| good	0.897 \| good	0.145 \| good
2026-09-29T19:00:00.000Z	25 \| good	3.674 \| good	16.017 \| good	27.065 \| good	0.507 \| good	0.86 \| good	0.143 \| good
2026-09-29T20:00:00.000Z	28 \| good	3.459 \| good	15.026 \| good	29.95 \| good	0.472 \| good	0.88 \| good	0.142 \| good
2026-09-29T21:00:00.000Z	29 \| good	3.036 \| good	12.088 \| good	31.42 \| good	0.442 \| good	0.953 \| good	0.141 \| good
2026-09-29T22:00:00.000Z	29 \| good	2.987 \| good	12.052 \| good	31.399 \| good	0.418 \| good	1.148 \| good	0.141 \| good
2026-09-29T23:00:00.000Z	23 \| good	3.037 \| good	12.052 \| good	24.64 \| good	0.386 \| good	3.132 \| good	0.16 \| good
2026-09-30T00:00:00.000Z	19 \| good	3.403 \| good	14.932 \| good	21.007 \| good	0.409 \| good	4.857 \| good	0.176 \| good
2026-09-30T01:00:00.000Z	22 \| good	3.805 \| good	16.895 \| good	21.386 \| good	0.428 \| good	5.804 \| good	0.186 \| good
2026-09-30T02:00:00.000Z	22 \| good	3.766 \| good	16.051 \| good	20.427 \| good	0.408 \| good	6.176 \| good	0.192 \| good
2026-09-30T03:00:00.000Z	17 \| good	3.417 \| good	15.015 \| good	17.528 \| good	0.375 \| good	5.992 \| good	0.193 \| good
2026-09-30T04:00:00.000Z	16 \| good	3.334 \| good	14.884 \| good	14.372 \| good	0.357 \| good	5.341 \| good	0.188 \| good
2026-09-30T05:00:00.000Z	22 \| good	3.524 \| good	15.911 \| good	12.656 \| good	0.335 \| good	4.963 \| good	0.185 \| good
2026-09-30T06:00:00.000Z	16 \| good	3.323 \| good	14.884 \| good	13.464 \| good	0.32 \| good	4.543 \| good	0.181 \| good
2026-09-30T07:00:00.000Z	16 \| good	3.323 \| good	14.912 \| good	16.086 \| good	0.311 \| good	4.256 \| good	0.178 \| good
2026-09-30T08:00:00.000Z	16 \| good	3.291 \| good	14.822 \| good	16.588 \| good	0.299 \| good	4.2 \| good	0.176 \| good
2026-09-30T09:00:00.000Z	16 \| good	3.091 \| good	13.866 \| good	15.527 \| good	0.289 \| good	4.136 \| good	0.175 \| good
2026-09-30T10:00:00.000Z	16 \| good	2.982 \| good	12.028 \| good	15.977 \| good	0.277 \| good	3.955 \| good	0.174 \| good
2026-09-30T11:00:00.000Z	12 \| good	2.386 \| good	9.92 \| good	13.034 \| good	0.271 \| good	3.639 \| good	0.171 \| good
2026-09-30T12:00:00.000Z	15 \| good	2.333 \| good	9.927 \| good	15.556 \| good	0.265 \| good	3.342 \| good	0.174 \| good
2026-09-30T13:00:00.000Z	19 \| good	2.171 \| good	8.959 \| good	20.456 \| good	0.256 \| good	2.997 \| good	0.179 \| good
2026-09-30T14:00:00.000Z	22 \| good	2.018 \| good	8.026 \| good	23.548 \| good	0.299 \| good	2.081 \| good	0.165 \| good
2026-09-30T15:00:00.000Z	28 \| good	2.007 \| good	8.036 \| good	29.51 \| good	0.324 \| good	1.246 \| good	0.149 \| good
2026-09-30T16:00:00.000Z	31 \| good	2.336 \| good	9.911 \| good	33.021 \| good	0.313 \| good	0.848 \| good	0.141 \| good
2026-09-30T17:00:00.000Z	33 \| good	3.166 \| good	13.879 \| good	35.673 \| good	0.286 \| good	0.661 \| good	0.138 \| good
2026-09-30T18:00:00.000Z	35 \| good	4.652 \| good	19.984 \| good	38.407 \| good	0.252 \| good	0.552 \| good	0.136 \| good
2026-09-30T19:00:00.000Z	37 \| good	5.354 \| good	22.986 \| good	40.11 \| good	0.222 \| good	0.519 \| good	0.134 \| good
2026-09-30T20:00:00.000Z	38 \| good	5.645 \| good	24.011 \| good	41.479 \| good	0.212 \| good	0.549 \| good	0.134 \| good
2026-09-30T21:00:00.000Z	38 \| good	6.096 \| good	26.967 \| good	41.438 \| good	0.22 \| good	0.637 \| good	0.135 \| good
2026-09-30T22:00:00.000Z	36 \| good	5.92 \| good	26.772 \| good	39.087 \| good	0.226 \| good	1.18 \| good	0.142 \| good
2026-09-30T23:00:00.000Z	33 \| good	5.747 \| good	24.945 \| good	34.204 \| good	0.243 \| good	2.415 \| good	0.156 \| good
2026-10-01T00:00:00.000Z	27 \| good	4.894 \| good	20.997 \| good	27.951 \| good	0.261 \| good	2.912 \| good	0.163 \| good
2026-10-01T01:00:00.000Z	27 \| good	5.128 \| good	22.032 \| good	25.17 \| good	0.278 \| good	2.741 \| good	0.162 \| good

Watertown city

Empower business decisions with accurate air quality data

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

0.17ppm

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 09:00:00, 2026-09-28.

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 09:00:00 on 2026-09-28.

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 22.

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

In Watertown City, New York, PM2.5 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 4.459 μg/m³.

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

Watertown City, New York currently has a PM₁₀ concentration of 19.71 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 0.212 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 0.698 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 18.749 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 2.77 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-09-27T02:00:00.000Z	27 \| good	5.103 \| good	26.743 \| good	22.62 \| good	3.653 \| good	3.827 \| good	0.182 \| good
2026-09-27T03:00:00.000Z	33 \| good	6.06 \| good	27 \| good	19.952 \| good	0.576 \| good	2.131 \| good	0.152 \| good
2026-09-27T04:00:00.000Z	33 \| good	5.534 \| good	23.674 \| good	22.725 \| good	0.767 \| good	2.605 \| good	0.172 \| good
2026-09-27T05:00:00.000Z	27 \| good	4.698 \| good	18.485 \| good	18.805 \| good	0.884 \| good	2.706 \| good	0.168 \| good
2026-09-27T06:00:00.000Z	27 \| good	5.23 \| good	22.614 \| good	18.77 \| good	0.843 \| good	1.737 \| good	0.191 \| good
2026-09-27T07:00:00.000Z	27 \| good	4.756 \| good	21.51 \| good	16.992 \| good	0.797 \| good	1.802 \| good	0.165 \| good
2026-09-27T08:00:00.000Z	22 \| good	4.273 \| good	23.408 \| good	15.271 \| good	0.938 \| good	1.747 \| good	0.154 \| good
2026-09-27T09:00:00.000Z	22 \| good	4.303 \| good	17.911 \| good	16.258 \| good	0.985 \| good	1.695 \| good	0.14 \| good
2026-09-27T10:00:00.000Z	27 \| good	4.619 \| good	20.828 \| good	20.705 \| good	0.704 \| good	1.824 \| good	0.159 \| good
2026-09-27T11:00:00.000Z	22 \| good	3.716 \| good	19.653 \| good	16.884 \| good	0.702 \| good	2.025 \| good	0.161 \| good
2026-09-27T12:00:00.000Z	22 \| good	4.051 \| good	17.466 \| good	16.889 \| good	0.502 \| good	2.203 \| good	0.159 \| good
2026-09-27T13:00:00.000Z	21 \| good	3.406 \| good	22.784 \| good	15.59 \| good	0.506 \| good	2.044 \| good	0.164 \| good
2026-09-27T14:00:00.000Z	22 \| good	4.02 \| good	20.437 \| good	20.961 \| good	0.982 \| good	1.074 \| good	0.161 \| good
2026-09-27T15:00:00.000Z	22 \| good	3.414 \| good	14.226 \| good	23.997 \| good	0.654 \| good	1.07 \| good	0.159 \| good
2026-09-27T16:00:00.000Z	22 \| good	4.143 \| good	19.494 \| good	23.654 \| good	0.566 \| good	1.476 \| good	0.157 \| good
2026-09-27T17:00:00.000Z	23 \| good	4.127 \| good	18.714 \| good	25.05 \| good	0.501 \| good	1.003 \| good	0.157 \| good
2026-09-27T18:00:00.000Z	24 \| good	4.454 \| good	20.295 \| good	26.455 \| good	0.153 \| good	1.09 \| good	0.154 \| good
2026-09-27T19:00:00.000Z	27 \| good	3.98 \| good	16.241 \| good	29.432 \| good	0.1 \| good	1.131 \| good	0.129 \| good
2026-09-27T20:00:00.000Z	26 \| good	4.181 \| good	17.846 \| good	27.962 \| good	0.1 \| good	1.291 \| good	0.131 \| good
2026-09-27T21:00:00.000Z	25 \| good	3.938 \| good	13.456 \| good	27.44 \| good	0.145 \| good	1.321 \| good	0.13 \| good
2026-09-27T22:00:00.000Z	26 \| good	3.392 \| good	15.458 \| good	27.737 \| good	0.169 \| good	1.674 \| good	0.13 \| good
2026-09-27T23:00:00.000Z	28 \| good	4.109 \| good	16.186 \| good	29.905 \| good	0.398 \| good	1.726 \| good	0.156 \| good
2026-09-28T00:00:00.000Z	27 \| good	4.123 \| good	16.474 \| good	29.103 \| good	0.332 \| good	1.842 \| good	0.158 \| good
2026-09-28T01:00:00.000Z	26 \| good	3.99 \| good	14.594 \| good	27.691 \| good	0.143 \| good	2.046 \| good	0.158 \| good
2026-09-28T02:00:00.000Z	24 \| good	4.137 \| good	13.518 \| good	25.967 \| good	0.122 \| good	2.113 \| good	0.152 \| good
2026-09-28T03:00:00.000Z	21 \| good	1.824 \| good	7.916 \| good	23.002 \| good	0.347 \| good	1.744 \| good	0.142 \| good
2026-09-28T04:00:00.000Z	22 \| good	4.087 \| good	18.594 \| good	20.1 \| good	0.1 \| good	1.957 \| good	0.155 \| good
2026-09-28T05:00:00.000Z	22 \| good	3.916 \| good	15.632 \| good	21.377 \| good	0.61 \| good	2.019 \| good	0.15 \| good
2026-09-28T06:00:00.000Z	19 \| good	3.277 \| good	10.629 \| good	20.54 \| good	0.169 \| good	1.7 \| good	0.127 \| good
2026-09-28T07:00:00.000Z	22 \| good	3.818 \| good	17.56 \| good	19.969 \| good	0.21 \| good	1.291 \| good	0.129 \| good
2026-09-28T08:00:00.000Z	19 \| good	2.99 \| good	14.589 \| good	19.922 \| good	0.175 \| good	1.8 \| good	0.129 \| good
2026-09-28T09:00:00.000Z	17 \| good	3.101 \| good	13.134 \| good	17.849 \| good	0.387 \| good	1.896 \| good	0.149 \| good
2026-09-28T10:00:00.000Z	18 \| good	3.258 \| good	12.975 \| good	18.626 \| good	0.279 \| good	1.867 \| good	0.159 \| good
2026-09-28T11:00:00.000Z	22 \| good	3.645 \| good	17.037 \| good	18.481 \| good	0.141 \| good	2.466 \| good	0.136 \| good
2026-09-28T12:00:00.000Z	22 \| good	3.611 \| good	14.94 \| good	18.896 \| good	0.176 \| good	2.601 \| good	0.159 \| good
2026-09-28T13:00:00.000Z	22 \| good	4.05 \| good	15.732 \| good	15.802 \| good	0.194 \| good	4.651 \| good	0.163 \| good
2026-09-28T14:00:00.000Z	22 \| good	3.728 \| good	18.615 \| good	14.176 \| good	0.188 \| good	3.437 \| good	0.163 \| good
2026-09-28T15:00:00.000Z	22 \| good	3.92 \| good	17.176 \| good	14.502 \| good	0.153 \| good	2.64 \| good	0.163 \| good
2026-09-28T16:00:00.000Z	22 \| good	3.96 \| good	18.651 \| good	17.41 \| good	0.269 \| good	2.028 \| good	0.175 \| good
2026-09-28T17:00:00.000Z	22 \| good	4.123 \| good	17.018 \| good	21.281 \| good	0.273 \| good	1.873 \| good	0.175 \| good
2026-09-28T18:00:00.000Z	22 \| good	4.207 \| good	15.797 \| good	21.644 \| good	0.192 \| good	1.64 \| good	0.158 \| good
2026-09-28T19:00:00.000Z	23 \| good	3.783 \| good	13.443 \| good	24.726 \| good	0.212 \| good	1.663 \| good	0.156 \| good
2026-09-28T20:00:00.000Z	24 \| good	3.939 \| good	16.885 \| good	25.86 \| good	0.348 \| good	1.868 \| good	0.174 \| good
2026-09-28T21:00:00.000Z	27 \| good	4.935 \| good	12.767 \| good	24.2 \| good	0.356 \| good	2.119 \| good	0.174 \| good
2026-09-28T22:00:00.000Z	22 \| good	3.86 \| good	16.234 \| good	23.678 \| good	0.848 \| good	1.995 \| good	0.174 \| good
2026-09-28T23:00:00.000Z	22 \| good	4.374 \| good	18.748 \| good	22.366 \| good	0.56 \| good	2.809 \| good	0.176 \| good
2026-09-29T00:00:00.000Z	22 \| good	4.459 \| good	19.71 \| good	18.749 \| good	0.698 \| good	2.77 \| good	0.212 \| good
2026-09-29T01:00:00.000Z	22 \| good	4.039 \| good	12.238 \| good	15.992 \| good	0.465 \| good	2.55 \| good	0.18 \| good
2026-09-29T01:00:00.000Z	22 \| good	4.459 \| good	19.71 \| good	18.749 \| good	0.698 \| good	2.77 \| good	0.212 \| good
2026-09-29T02:00:00.000Z	38 \| good	7.025 \| good	30.993 \| good	20.081 \| good	0.624 \| good	3.449 \| good	0.162 \| good
2026-09-29T03:00:00.000Z	38 \| good	7.442 \| good	32.978 \| good	15.312 \| good	0.641 \| good	3.457 \| good	0.163 \| good
2026-09-29T04:00:00.000Z	38 \| good	7.084 \| good	31.072 \| good	13.49 \| good	0.643 \| good	3.431 \| good	0.165 \| good
2026-09-29T05:00:00.000Z	38 \| good	7.063 \| good	31.064 \| good	11.352 \| good	0.634 \| good	3.343 \| good	0.166 \| good
2026-09-29T06:00:00.000Z	38 \| good	6.841 \| good	30.052 \| good	10.842 \| good	0.631 \| good	3.197 \| good	0.167 \| good
2026-09-29T07:00:00.000Z	38 \| good	6.797 \| good	30.05 \| good	13.394 \| good	0.661 \| good	2.942 \| good	0.167 \| good
2026-09-29T08:00:00.000Z	33 \| good	6.205 \| good	27.964 \| good	13.168 \| good	0.682 \| good	2.752 \| good	0.166 \| good
2026-09-29T09:00:00.000Z	33 \| good	5.787 \| good	25.088 \| good	10.468 \| good	0.688 \| good	2.6 \| good	0.166 \| good
2026-09-29T10:00:00.000Z	33 \| good	5.607 \| good	24.058 \| good	8.649 \| good	0.668 \| good	2.507 \| good	0.165 \| good
2026-09-29T11:00:00.000Z	27 \| good	4.8 \| good	20.987 \| good	10.323 \| good	0.637 \| good	2.454 \| good	0.163 \| good
2026-09-29T12:00:00.000Z	22 \| good	4.252 \| good	18.955 \| good	11.885 \| good	0.622 \| good	2.373 \| good	0.161 \| good
2026-09-29T13:00:00.000Z	16 \| good	2.976 \| good	12.137 \| good	15.509 \| good	0.637 \| good	2.093 \| good	0.158 \| good
2026-09-29T14:00:00.000Z	19 \| good	2.476 \| good	10.034 \| good	20.471 \| good	0.64 \| good	1.88 \| good	0.155 \| good
2026-09-29T15:00:00.000Z	18 \| good	2.544 \| good	10.054 \| good	18.958 \| good	0.642 \| good	1.514 \| good	0.151 \| good
2026-09-29T16:00:00.000Z	20 \| good	3.107 \| good	13.885 \| good	21.949 \| good	0.627 \| good	1.264 \| good	0.149 \| good
2026-09-29T17:00:00.000Z	22 \| good	3.735 \| good	16 \| good	22.245 \| good	0.596 \| good	1.042 \| good	0.147 \| good
2026-09-29T18:00:00.000Z	22 \| good	3.888 \| good	16.959 \| good	24.348 \| good	0.554 \| good	0.897 \| good	0.145 \| good
2026-09-29T19:00:00.000Z	25 \| good	3.674 \| good	16.017 \| good	27.065 \| good	0.507 \| good	0.86 \| good	0.143 \| good
2026-09-29T20:00:00.000Z	28 \| good	3.459 \| good	15.026 \| good	29.95 \| good	0.472 \| good	0.88 \| good	0.142 \| good
2026-09-29T21:00:00.000Z	29 \| good	3.036 \| good	12.088 \| good	31.42 \| good	0.442 \| good	0.953 \| good	0.141 \| good
2026-09-29T22:00:00.000Z	29 \| good	2.987 \| good	12.052 \| good	31.399 \| good	0.418 \| good	1.148 \| good	0.141 \| good
2026-09-29T23:00:00.000Z	23 \| good	3.037 \| good	12.052 \| good	24.64 \| good	0.386 \| good	3.132 \| good	0.16 \| good
2026-09-30T00:00:00.000Z	19 \| good	3.403 \| good	14.932 \| good	21.007 \| good	0.409 \| good	4.857 \| good	0.176 \| good
2026-09-30T01:00:00.000Z	22 \| good	3.805 \| good	16.895 \| good	21.386 \| good	0.428 \| good	5.804 \| good	0.186 \| good
2026-09-30T02:00:00.000Z	22 \| good	3.766 \| good	16.051 \| good	20.427 \| good	0.408 \| good	6.176 \| good	0.192 \| good
2026-09-30T03:00:00.000Z	17 \| good	3.417 \| good	15.015 \| good	17.528 \| good	0.375 \| good	5.992 \| good	0.193 \| good
2026-09-30T04:00:00.000Z	16 \| good	3.334 \| good	14.884 \| good	14.372 \| good	0.357 \| good	5.341 \| good	0.188 \| good
2026-09-30T05:00:00.000Z	22 \| good	3.524 \| good	15.911 \| good	12.656 \| good	0.335 \| good	4.963 \| good	0.185 \| good
2026-09-30T06:00:00.000Z	16 \| good	3.323 \| good	14.884 \| good	13.464 \| good	0.32 \| good	4.543 \| good	0.181 \| good
2026-09-30T07:00:00.000Z	16 \| good	3.323 \| good	14.912 \| good	16.086 \| good	0.311 \| good	4.256 \| good	0.178 \| good
2026-09-30T08:00:00.000Z	16 \| good	3.291 \| good	14.822 \| good	16.588 \| good	0.299 \| good	4.2 \| good	0.176 \| good
2026-09-30T09:00:00.000Z	16 \| good	3.091 \| good	13.866 \| good	15.527 \| good	0.289 \| good	4.136 \| good	0.175 \| good
2026-09-30T10:00:00.000Z	16 \| good	2.982 \| good	12.028 \| good	15.977 \| good	0.277 \| good	3.955 \| good	0.174 \| good
2026-09-30T11:00:00.000Z	12 \| good	2.386 \| good	9.92 \| good	13.034 \| good	0.271 \| good	3.639 \| good	0.171 \| good
2026-09-30T12:00:00.000Z	15 \| good	2.333 \| good	9.927 \| good	15.556 \| good	0.265 \| good	3.342 \| good	0.174 \| good
2026-09-30T13:00:00.000Z	19 \| good	2.171 \| good	8.959 \| good	20.456 \| good	0.256 \| good	2.997 \| good	0.179 \| good
2026-09-30T14:00:00.000Z	22 \| good	2.018 \| good	8.026 \| good	23.548 \| good	0.299 \| good	2.081 \| good	0.165 \| good
2026-09-30T15:00:00.000Z	28 \| good	2.007 \| good	8.036 \| good	29.51 \| good	0.324 \| good	1.246 \| good	0.149 \| good
2026-09-30T16:00:00.000Z	31 \| good	2.336 \| good	9.911 \| good	33.021 \| good	0.313 \| good	0.848 \| good	0.141 \| good
2026-09-30T17:00:00.000Z	33 \| good	3.166 \| good	13.879 \| good	35.673 \| good	0.286 \| good	0.661 \| good	0.138 \| good
2026-09-30T18:00:00.000Z	35 \| good	4.652 \| good	19.984 \| good	38.407 \| good	0.252 \| good	0.552 \| good	0.136 \| good
2026-09-30T19:00:00.000Z	37 \| good	5.354 \| good	22.986 \| good	40.11 \| good	0.222 \| good	0.519 \| good	0.134 \| good
2026-09-30T20:00:00.000Z	38 \| good	5.645 \| good	24.011 \| good	41.479 \| good	0.212 \| good	0.549 \| good	0.134 \| good
2026-09-30T21:00:00.000Z	38 \| good	6.096 \| good	26.967 \| good	41.438 \| good	0.22 \| good	0.637 \| good	0.135 \| good
2026-09-30T22:00:00.000Z	36 \| good	5.92 \| good	26.772 \| good	39.087 \| good	0.226 \| good	1.18 \| good	0.142 \| good
2026-09-30T23:00:00.000Z	33 \| good	5.747 \| good	24.945 \| good	34.204 \| good	0.243 \| good	2.415 \| good	0.156 \| good
2026-10-01T00:00:00.000Z	27 \| good	4.894 \| good	20.997 \| good	27.951 \| good	0.261 \| good	2.912 \| good	0.163 \| good
2026-10-01T01:00:00.000Z	27 \| good	5.128 \| good	22.032 \| good	25.17 \| good	0.278 \| good	2.741 \| good	0.162 \| 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?