What is the PM10 level in Watertown, Wisconsin at the moment?

The PM10 concentration in Watertown, Wisconsin is 23.526 μg/m3 at the moment.

What is the sulfur dioxide (SO2) level in Watertown, Wisconsin at the moment?

Currently, Watertown, Wisconsin has a sulfur dioxide (SO2) concentration of 0.643 ppb.

What is the ozone (O3) level in Watertown, Wisconsin at the moment?

The current ozone (O3) level in Watertown, Wisconsin at the moment is 47.902 ppm.

What is the nitrogen dioxide (NO2) level in Watertown, Wisconsin at the moment?

Nitrogen dioxide (NO2) level in Watertown, Wisconsin at the moment is 7.344 ppb.

Live air quality index in Watertown, Wisconsin today

Q: What is the PM2.5 level in Watertown, Wisconsin at the moment?

PM2.5 levels in Watertown, Wisconsin are currently 8.313 μg/m3.

Stay updated with real-time air quality in Watertown, Wisconsin 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, Wisconsin

Last updated: ... (Local time)

Major air pollutants in Watertown, Wisconsin

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

8.31 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

23.53 μg/m³

155

255

425

605+

Ozone (O₃)

47.90 ppb

201

201+

Sulfur Dioxide (SO₂)

0.64 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

7.34 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.17 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

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

Please contact us for custom requests

Watertown, Wisconsin

Scroll To Air Quality Map

Track live Watertown, Wisconsin air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-04-22T04:00:00.000Z	52 \| moderate	9.84 \| good	30.248 \| good	40.134 \| good	0.527 \| good	15.483 \| good	0.279 \| good
2026-04-22T05:00:00.000Z	52 \| moderate	10.134 \| good	41.64 \| good	35.042 \| good	0.5 \| good	15.855 \| good	0.253 \| good
2026-04-22T06:00:00.000Z	52 \| moderate	9.916 \| good	36.287 \| good	41.338 \| good	0.535 \| good	14.237 \| good	0.253 \| good
2026-04-22T07:00:00.000Z	58 \| moderate	13.296 \| fine	48.983 \| good	39.35 \| good	0.549 \| good	14.593 \| good	0.232 \| good
2026-04-22T08:00:00.000Z	58 \| moderate	12.558 \| fine	37.892 \| good	36.28 \| good	0.413 \| good	7.4 \| good	0.211 \| good
2026-04-22T09:00:00.000Z	54 \| moderate	11.253 \| good	30.301 \| good	41.036 \| good	0.365 \| good	8.008 \| good	0.227 \| good
2026-04-22T10:00:00.000Z	49 \| good	9.408 \| good	21.993 \| good	30.488 \| good	0.339 \| good	7.142 \| good	0.232 \| good
2026-04-22T11:00:00.000Z	49 \| good	9.405 \| good	16.985 \| good	41.387 \| good	0.309 \| good	8.897 \| good	0.191 \| good
2026-04-22T12:00:00.000Z	49 \| good	8.797 \| good	22.359 \| good	33.351 \| good	0.258 \| good	10.893 \| good	0.197 \| good
2026-04-22T13:00:00.000Z	56 \| moderate	12.491 \| fine	36.013 \| good	34.159 \| good	0.253 \| good	10.407 \| good	0.191 \| good
2026-04-22T14:00:00.000Z	52 \| moderate	10.389 \| good	25.691 \| good	40.545 \| good	0.246 \| good	7.669 \| good	0.185 \| good
2026-04-22T15:00:00.000Z	52 \| moderate	10.45 \| good	27.635 \| good	43.656 \| good	0.245 \| good	5.365 \| good	0.154 \| good
2026-04-22T16:00:00.000Z	49 \| good	9.157 \| good	24.841 \| good	42.256 \| good	0.333 \| good	3.684 \| good	0.133 \| good
2026-04-22T17:00:00.000Z	44 \| good	8.347 \| good	26.999 \| good	47.662 \| good	0.302 \| good	3.994 \| good	0.152 \| good
2026-04-22T18:00:00.000Z	51 \| moderate	8.186 \| good	22.311 \| good	55.487 \| fine	0.303 \| good	5.528 \| good	0.159 \| good
2026-04-22T19:00:00.000Z	47 \| good	8.235 \| good	22.261 \| good	51.126 \| good	0.308 \| good	4.915 \| good	0.159 \| good
2026-04-22T20:00:00.000Z	50 \| good	8.034 \| good	26.927 \| good	54.055 \| good	0.619 \| good	4.041 \| good	0.154 \| good
2026-04-22T21:00:00.000Z	48 \| good	7.02 \| good	29.778 \| good	51.686 \| good	0.545 \| good	3.607 \| good	0.159 \| good
2026-04-22T22:00:00.000Z	54 \| moderate	6.36 \| good	23.16 \| good	56.124 \| fine	0.316 \| good	3.638 \| good	0.159 \| good
2026-04-22T23:00:00.000Z	45 \| good	6.208 \| good	21.623 \| good	48.903 \| good	0.423 \| good	4.768 \| good	0.159 \| good
2026-04-23T00:00:00.000Z	44 \| good	5.817 \| good	18.161 \| good	48.312 \| good	0.342 \| good	5.152 \| good	0.139 \| good
2026-04-23T01:00:00.000Z	44 \| good	6.67 \| good	19.796 \| good	47.51 \| good	0.545 \| good	5.42 \| good	0.221 \| good
2026-04-23T02:00:00.000Z	40 \| good	4.742 \| good	17.616 \| good	43.069 \| good	0.647 \| good	7.336 \| good	0.215 \| good
2026-04-23T03:00:00.000Z	38 \| good	6.259 \| good	29.861 \| good	40.798 \| good	0.453 \| good	8.884 \| good	0.158 \| good
2026-04-23T04:00:00.000Z	36 \| good	6.074 \| good	30.798 \| good	39.372 \| good	0.389 \| good	10.643 \| good	0.17 \| good
2026-04-23T05:00:00.000Z	38 \| good	4.992 \| good	35.985 \| good	40.523 \| good	0.386 \| good	11.493 \| good	0.143 \| good
2026-04-23T06:00:00.000Z	34 \| good	3.937 \| good	24.939 \| good	37.049 \| good	0.277 \| good	14.045 \| good	0.164 \| good
2026-04-23T07:00:00.000Z	32 \| good	4.952 \| good	29.007 \| good	35.339 \| good	0.381 \| good	13.636 \| good	0.137 \| good
2026-04-23T08:00:00.000Z	44 \| good	7.79 \| good	36.452 \| good	35.34 \| good	0.475 \| good	13.726 \| good	0.137 \| good
2026-04-23T09:00:00.000Z	52 \| moderate	9.772 \| good	44.549 \| good	36.603 \| good	0.6 \| good	13.71 \| good	0.137 \| good
2026-04-23T10:00:00.000Z	60 \| moderate	14.357 \| fine	37.356 \| good	35.155 \| good	0.63 \| good	11.709 \| good	0.153 \| good
2026-04-23T11:00:00.000Z	88 \| moderate	20.991 \| fine	129.868 \| fine	28.347 \| good	0.524 \| good	11.972 \| good	0.235 \| good
2026-04-23T12:00:00.000Z	62 \| moderate	15.014 \| fine	57.149 \| fine	29.244 \| good	0.364 \| good	12.52 \| good	0.262 \| good
2026-04-23T13:00:00.000Z	73 \| moderate	21.019 \| fine	55.574 \| fine	30.28 \| good	0.355 \| good	7.444 \| good	0.256 \| good
2026-04-23T14:00:00.000Z	52 \| moderate	8.597 \| good	56.759 \| fine	32.81 \| good	0.489 \| good	7.735 \| good	0.242 \| good
2026-04-23T15:00:00.000Z	53 \| moderate	8.311 \| good	59.13 \| fine	35.123 \| good	0.531 \| good	6.513 \| good	0.221 \| good
2026-04-23T16:00:00.000Z	41 \| good	6.634 \| good	43.8 \| good	34.799 \| good	0.43 \| good	5.675 \| good	0.2 \| good
2026-04-23T17:00:00.000Z	34 \| good	5.391 \| good	21.883 \| good	37.468 \| good	0.519 \| good	4.627 \| good	0.221 \| good
2026-04-23T18:00:00.000Z	40 \| good	4.769 \| good	18.585 \| good	43.34 \| good	1.167 \| good	1.255 \| good	0.132 \| good
2026-04-23T19:00:00.000Z	42 \| good	4.993 \| good	18.961 \| good	45.403 \| good	1.278 \| good	1.043 \| good	0.188 \| good
2026-04-23T20:00:00.000Z	43 \| good	5.327 \| good	17.03 \| good	45.771 \| good	1.483 \| good	4.224 \| good	0.133 \| good
2026-04-23T21:00:00.000Z	45 \| good	5.64 \| good	20.869 \| good	48.704 \| good	1.951 \| good	3.845 \| good	0.133 \| good
2026-04-23T22:00:00.000Z	46 \| good	5.96 \| good	21.223 \| good	49.929 \| good	0.932 \| good	1.251 \| good	0.133 \| good
2026-04-23T23:00:00.000Z	47 \| good	7.299 \| good	34.965 \| good	51.003 \| good	0.69 \| good	1.564 \| good	0.126 \| good
2026-04-24T00:00:00.000Z	48 \| good	6.785 \| good	21.172 \| good	52.257 \| good	0.526 \| good	1.452 \| good	0.133 \| good
2026-04-24T01:00:00.000Z	46 \| good	7.39 \| good	23.879 \| good	50.416 \| good	0.651 \| good	2.697 \| good	0.139 \| good
2026-04-24T02:00:00.000Z	44 \| good	8.313 \| good	23.526 \| good	47.902 \| good	0.643 \| good	7.344 \| good	0.17 \| good
2026-04-24T03:00:00.000Z	44 \| good	1.615 \| good	6.918 \| good	47.319 \| good	0.47 \| good	3.56 \| good	0.167 \| good
2026-04-24T03:00:00.000Z	44 \| good	8.313 \| good	23.526 \| good	47.902 \| good	0.643 \| good	7.344 \| good	0.17 \| good
2026-04-24T04:00:00.000Z	39 \| good	2.002 \| good	8.101 \| good	42.18 \| good	0.492 \| good	3.402 \| good	0.17 \| good
2026-04-24T05:00:00.000Z	36 \| good	2.606 \| good	10.215 \| good	39.012 \| good	0.434 \| good	2.981 \| good	0.166 \| good
2026-04-24T06:00:00.000Z	34 \| good	2.892 \| good	11.957 \| good	36.902 \| good	0.375 \| good	2.56 \| good	0.163 \| good
2026-04-24T07:00:00.000Z	36 \| good	2.492 \| good	9.951 \| good	38.715 \| good	0.378 \| good	2.473 \| good	0.16 \| good
2026-04-24T08:00:00.000Z	38 \| good	2.185 \| good	8.948 \| good	40.963 \| good	0.38 \| good	2.386 \| good	0.156 \| good
2026-04-24T09:00:00.000Z	38 \| good	2.483 \| good	9.998 \| good	41.252 \| good	0.383 \| good	2.299 \| good	0.153 \| good
2026-04-24T10:00:00.000Z	38 \| good	2.515 \| good	10.034 \| good	40.974 \| good	0.379 \| good	2.374 \| good	0.151 \| good
2026-04-24T11:00:00.000Z	34 \| good	4.3 \| good	18.898 \| good	37.355 \| good	0.376 \| good	2.449 \| good	0.149 \| good
2026-04-24T12:00:00.000Z	35 \| good	6.246 \| good	27.837 \| good	37.689 \| good	0.372 \| good	2.524 \| good	0.147 \| good
2026-04-24T13:00:00.000Z	33 \| good	6.046 \| good	26.868 \| good	35.553 \| good	0.323 \| good	2.45 \| good	0.148 \| good
2026-04-24T14:00:00.000Z	32 \| good	3.929 \| good	17.01 \| good	34.764 \| good	0.275 \| good	2.376 \| good	0.149 \| good
2026-04-24T15:00:00.000Z	34 \| good	3.528 \| good	15.858 \| good	36.604 \| good	0.227 \| good	2.302 \| good	0.15 \| good
2026-04-24T16:00:00.000Z	31 \| good	3.28 \| good	14.121 \| good	34.435 \| good	0.197 \| good	1.79 \| good	0.15 \| good
2026-04-24T17:00:00.000Z	34 \| good	2.424 \| good	10.067 \| good	37.477 \| good	0.167 \| good	1.279 \| good	0.15 \| good
2026-04-24T18:00:00.000Z	37 \| good	1.707 \| good	7.021 \| good	40.391 \| good	0.137 \| good	0.768 \| good	0.15 \| good
2026-04-24T19:00:00.000Z	41 \| good	2.02 \| good	8.092 \| good	43.782 \| good	0.168 \| good	0.73 \| good	0.152 \| good
2026-04-24T20:00:00.000Z	42 \| good	2.65 \| good	11.039 \| good	44.511 \| good	0.199 \| good	0.692 \| good	0.153 \| good
2026-04-24T21:00:00.000Z	44 \| good	2.177 \| good	9.017 \| good	48.398 \| good	0.23 \| good	0.653 \| good	0.154 \| good
2026-04-24T22:00:00.000Z	45 \| good	2.264 \| good	9.062 \| good	49.188 \| good	0.264 \| good	1.048 \| good	0.154 \| good
2026-04-24T23:00:00.000Z	44 \| good	1.859 \| good	7.971 \| good	48.265 \| good	0.298 \| good	1.443 \| good	0.155 \| good
2026-04-25T00:00:00.000Z	43 \| good	3.038 \| good	12.111 \| good	45.905 \| good	0.332 \| good	1.838 \| good	0.155 \| good
2026-04-25T01:00:00.000Z	35 \| good	1.244 \| good	5.028 \| good	37.891 \| good	0.38 \| good	2.174 \| good	0.156 \| good
2026-04-25T02:00:00.000Z	31 \| good	0.582 \| good	2.02 \| good	33.695 \| good	0.427 \| good	2.511 \| good	0.157 \| good
2026-04-25T03:00:00.000Z	29 \| good	0.328 \| good	1.036 \| good	30.501 \| good	0.475 \| good	2.847 \| good	0.158 \| good
2026-04-25T04:00:00.000Z	27 \| good	0.733 \| good	2.952 \| good	29.175 \| good	0.549 \| good	3.107 \| good	0.16 \| good
2026-04-25T05:00:00.000Z	24 \| good	1.19 \| good	4.986 \| good	26.182 \| good	0.623 \| good	3.368 \| good	0.161 \| good
2026-04-25T06:00:00.000Z	23 \| good	1.394 \| good	5.889 \| good	24.892 \| good	0.697 \| good	3.628 \| good	0.163 \| good
2026-04-25T07:00:00.000Z	22 \| good	2.772 \| good	11.015 \| good	24.25 \| good	0.54 \| good	3.357 \| good	0.167 \| good
2026-04-25T08:00:00.000Z	23 \| good	3.567 \| good	15.739 \| good	24.567 \| good	0.382 \| good	3.086 \| good	0.171 \| good
2026-04-25T09:00:00.000Z	24 \| good	3.936 \| good	16.994 \| good	25.803 \| good	0.225 \| good	2.815 \| good	0.175 \| good
2026-04-25T10:00:00.000Z	26 \| good	4.138 \| good	18.005 \| good	28.43 \| good	0.167 \| good	2.496 \| good	0.176 \| good
2026-04-25T11:00:00.000Z	38 \| good	7.022 \| good	31.007 \| good	31.785 \| good	0.109 \| good	2.176 \| good	0.177 \| good
2026-04-25T12:00:00.000Z	33 \| good	6.077 \| good	26.99 \| good	35.529 \| good	0.051 \| good	1.857 \| good	0.178 \| good
2026-04-25T13:00:00.000Z	36 \| good	5.437 \| good	23.019 \| good	38.62 \| good	0.099 \| good	1.68 \| good	0.174 \| good
2026-04-25T14:00:00.000Z	37 \| good	4.688 \| good	20.059 \| good	40.417 \| good	0.147 \| good	1.504 \| good	0.171 \| good
2026-04-25T15:00:00.000Z	39 \| good	4.002 \| good	17.132 \| good	41.713 \| good	0.194 \| good	1.328 \| good	0.167 \| good
2026-04-25T16:00:00.000Z	40 \| good	3.816 \| good	17.01 \| good	43.123 \| good	0.208 \| good	1.133 \| good	0.162 \| good
2026-04-25T17:00:00.000Z	43 \| good	3.562 \| good	15.982 \| good	46.151 \| good	0.222 \| good	0.938 \| good	0.157 \| good
2026-04-25T18:00:00.000Z	45 \| good	2.476 \| good	10.084 \| good	49.482 \| good	0.235 \| good	0.742 \| good	0.151 \| good
2026-04-25T19:00:00.000Z	47 \| good	2.054 \| good	8.048 \| good	50.584 \| good	0.232 \| good	0.724 \| good	0.149 \| good
2026-04-25T20:00:00.000Z	49 \| good	2.325 \| good	9.943 \| good	53.25 \| good	0.23 \| good	0.706 \| good	0.147 \| good
2026-04-25T21:00:00.000Z	48 \| good	2.084 \| good	8.153 \| good	52.444 \| good	0.227 \| good	0.688 \| good	0.145 \| good
2026-04-25T22:00:00.000Z	48 \| good	2.294 \| good	9.084 \| good	52.294 \| good	0.227 \| good	1.263 \| good	0.149 \| good
2026-04-25T23:00:00.000Z	47 \| good	1.43 \| good	6.005 \| good	50.96 \| good	0.228 \| good	1.838 \| good	0.153 \| good
2026-04-26T00:00:00.000Z	39 \| good	2.192 \| good	2.637 \| good	42.334 \| good	0.228 \| good	2.405 \| good	0.156 \| good
2026-04-26T01:00:00.000Z	39 \| good	3.195 \| good	14.009 \| good	42.405 \| good	0.251 \| good	2.99 \| good	0.162 \| good
2026-04-26T02:00:00.000Z	33 \| good	3.431 \| good	15.029 \| good	36.24 \| good	0.274 \| good	3.568 \| good	0.167 \| good
2026-04-26T03:00:00.000Z	31 \| good	4.301 \| good	18.975 \| good	33.841 \| good	0.296 \| good	4.145 \| good	0.172 \| good

Watertown

Get reliable air quality data to drive your business

Watertown, Wisconsin air quality map: Stay updated on AQI near you

0.22ppm

How accurate is Wisconsin, USA air quality data?

Air quality and pollutant data for Wisconsin, USA are sourced from ground-based monitors and satellites, adhering to US EPA standards. Machine learning and advanced algorithms enhance the data by incorporating local variables like traffic and population density, ensuring high accuracy and dependability.

Source: Ambee Data Sources

Air quality levels in US

Check live rankings of places in the USA affected by air pollution.

View Polluted Cities

Check live rankings of places in the USA with the cleanest air.

View Clean Cities

Frequently asked questions

How often is air quality information updated for Watertown, Wisconsin?

The air quality information for Watertown, Wisconsin is updated every hour for accuracy.

What time in the last 24 hours was the air quality in Watertown, Wisconsin at its worst?

In the past 24 hours, the air quality in Watertown, Wisconsin was at its worst at 11:00:00 on 2026-04-23.

When did Watertown, Wisconsin experience the best air quality in the last 24 hours?

In the last 24 hours, the best air quality in Watertown, Wisconsin was observed at 07:00:00 on 2026-04-23.

What is the AQI in Watertown, Wisconsin right now?

As of now, the AQI in Watertown, Wisconsin is 44, indicating Good conditions.

What is the most common type of pollution in Watertown, Wisconsin?

Watertown, Wisconsin air has the highest levels of O3.

What should I do in case of poor air quality in Watertown, Wisconsin?

Poor air quality in Watertown, Wisconsin means it's advisable to stay indoors and wear a mask for your protection.

What is the PM_2.5 level in Watertown, Wisconsin at the moment?

PM_2.5 levels in Watertown, Wisconsin are currently 8.313 μg/m³.

What is the PM₁₀ level in Watertown, Wisconsin at the moment?

The PM₁₀ concentration in Watertown, Wisconsin is 23.526 μg/m³ at the moment.

What is the carbon monoxide (CO) level in Watertown, Wisconsin at the moment?

The current carbon monoxide (CO) concentration in Watertown, Wisconsin is 0.17 ppm.

What is the sulfur dioxide (SO₂) level in Watertown, Wisconsin at the moment?

Currently, Watertown, Wisconsin has a sulfur dioxide (SO₂) concentration of 0.643 ppb.

What is the ozone (O₃) level in Watertown, Wisconsin at the moment?

The current ozone (O₃) level in Watertown, Wisconsin at the moment is 47.902 ppm.

What is the nitrogen dioxide (NO₂) level in Watertown, Wisconsin at the moment?

Nitrogen dioxide (NO₂) level in Watertown, Wisconsin at the moment is 7.344 ppb.

Certified

APIs

Refund Policy

Historical Climate Data

Terms & Conditions