What are the current PM10 levels at Watertown, South Dakota?

The current PM10 levels in Watertown, South Dakota are 5.503 μg/m3.

What are the current sulfur dioxide (SO2) levels at Watertown, South Dakota?

The current sulfur dioxide (SO2) levels in Watertown, South Dakota are 0.064 ppb.

What are the current ozone (O3) levels at Watertown, South Dakota?

The current ozone (O3) levels at Watertown, South Dakota is 13.306 ppm.

What are the current nitrogen dioxide (NO2) levels at Watertown, South Dakota?

The current nitrogen dioxide (NO2) levels at Watertown, South Dakota is 0.621 ppb.

Real-time air quality index in Watertown, South Dakota today

Name: Live air pollution levels in Watertown, South Dakota today
Creator: Ambee

Stay updated with real-time air quality in Watertown, South Dakota 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, South Dakota

Last updated: ... (Local time)

Common air pollutants in Watertown, South Dakota

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

1.25 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

5.50 μg/m³

155

255

425

605+

Ozone (O₃)

13.31 ppb

201

201+

Sulfur Dioxide (SO₂)

0.06 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

0.62 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.13 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, South Dakota

Scroll To Air Quality Map

Track live Watertown, South Dakota air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T17:00:00.000Z	22 \| good	4.399 \| good	7 \| good	23.29 \| good	0.829 \| good	2.38 \| good	0.219 \| good
2025-10-19T18:00:00.000Z	21 \| good	1.1 \| good	6 \| good	22.679 \| good	0.812 \| good	1.781 \| good	0.219 \| good
2025-10-19T19:00:00.000Z	25 \| good	1.7 \| good	7 \| good	26.687 \| good	0.813 \| good	1.283 \| good	0.2 \| good
2025-10-19T20:00:00.000Z	25 \| good	1.7 \| good	7 \| good	27.032 \| good	0.778 \| good	1.272 \| good	0.2 \| good
2025-10-19T21:00:00.000Z	26 \| good	1.7 \| good	6 \| good	27.648 \| good	0.795 \| good	1.489 \| good	0.179 \| good
2025-10-19T22:00:00.000Z	29 \| good	2.2 \| good	6 \| good	31.086 \| good	0.863 \| good	1.546 \| good	0.179 \| good
2025-10-19T23:00:00.000Z	28 \| good	2 \| good	7.003 \| good	30.001 \| good	0.846 \| good	1.223 \| good	0.219 \| good
2025-10-20T00:00:00.000Z	29 \| good	1 \| good	7.002 \| good	31.184 \| good	0.83 \| good	0.8 \| good	0.259 \| good
2025-10-20T01:00:00.000Z	26 \| good	1.7 \| good	16.001 \| good	27.992 \| good	0.83 \| good	4.949 \| good	0.319 \| good
2025-10-20T02:00:00.000Z	23 \| good	3.901 \| good	18.005 \| good	24.876 \| good	0.829 \| good	5.452 \| good	0.358 \| good
2025-10-20T03:00:00.000Z	27 \| good	4.901 \| good	15.004 \| good	28.144 \| good	0.727 \| good	4.104 \| good	0.358 \| good
2025-10-20T04:00:00.000Z	27 \| good	4.901 \| good	15.003 \| good	24.421 \| good	0.846 \| good	3.207 \| good	0.378 \| good
2025-10-20T05:00:00.000Z	27 \| good	4.9 \| good	13.002 \| good	23.901 \| good	0.779 \| good	4.03 \| good	0.358 \| good
2025-10-20T06:00:00.000Z	27 \| good	4.8 \| good	14.001 \| good	20.779 \| good	0.814 \| good	3.733 \| good	0.318 \| good
2025-10-20T07:00:00.000Z	27 \| good	4.7 \| good	14 \| good	23.293 \| good	0.953 \| good	3.119 \| good	0.339 \| good
2025-10-20T08:00:00.000Z	24 \| good	4 \| good	16 \| good	25.673 \| good	0.83 \| good	2.866 \| good	0.259 \| good
2025-10-20T09:00:00.000Z	25 \| good	4.4 \| good	26.998 \| good	24.567 \| good	1.166 \| good	2.639 \| good	0.219 \| good
2025-10-20T10:00:00.000Z	27 \| good	4.3 \| good	28.998 \| good	25.383 \| good	1.183 \| good	2.807 \| good	0.219 \| good
2025-10-20T11:00:00.000Z	27 \| good	5.3 \| good	25.999 \| good	24.944 \| good	1.051 \| good	2.662 \| good	0.219 \| good
2025-10-20T12:00:00.000Z	33 \| good	5.8 \| good	22 \| good	24.241 \| good	1 \| good	3.789 \| good	0.219 \| good
2025-10-20T13:00:00.000Z	27 \| good	4.8 \| good	21 \| good	25.039 \| good	1.055 \| good	4.501 \| good	0.24 \| good
2025-10-20T14:00:00.000Z	24 \| good	3.8 \| good	24 \| good	25.721 \| good	0.949 \| good	4.483 \| good	0.219 \| good
2025-10-20T15:00:00.000Z	27 \| good	5 \| good	25.001 \| good	27.078 \| good	0.932 \| good	3.932 \| good	0.219 \| good
2025-10-20T16:00:00.000Z	33 \| good	6.2 \| good	27 \| good	7.003 \| good	0.897 \| good	3.595 \| good	0.219 \| good
2025-10-20T17:00:00.000Z	33 \| good	5.7 \| good	28.001 \| good	18.001 \| good	1.229 \| good	2.656 \| good	0.2 \| good
2025-10-20T18:00:00.000Z	33 \| good	5.7 \| good	28.001 \| good	18.001 \| good	2.013 \| good	2 \| good	0.2 \| good
2025-10-20T19:00:00.000Z	33 \| good	5.7 \| good	25.002 \| good	18.002 \| good	1.991 \| good	2.953 \| good	0.219 \| good
2025-10-20T20:00:00.000Z	27 \| good	4.5 \| good	20.002 \| good	27.001 \| good	1.916 \| good	4.603 \| good	0.239 \| good
2025-10-20T21:00:00.000Z	25 \| good	4.5 \| good	20.004 \| good	27 \| good	2.456 \| good	4.296 \| good	0.219 \| good
2025-10-20T22:00:00.000Z	25 \| good	4.5 \| good	20.005 \| good	27 \| good	1.98 \| good	3.634 \| good	0.26 \| good
2025-10-20T23:00:00.000Z	25 \| good	4.3 \| good	17.284 \| good	27.001 \| good	2.568 \| good	3.529 \| good	0.24 \| good
2025-10-21T00:00:00.000Z	20 \| good	2.108 \| good	9.009 \| good	22.036 \| good	1.447 \| good	1.185 \| good	0.124 \| good
2025-10-21T01:00:00.000Z	22 \| good	2.065 \| good	8.471 \| good	24.173 \| good	0.853 \| good	0.957 \| good	0.121 \| good
2025-10-21T02:00:00.000Z	19 \| good	0.835 \| good	3.748 \| good	20.12 \| good	0.738 \| good	0.87 \| good	0.12 \| good
2025-10-21T03:00:00.000Z	19 \| good	0.347 \| good	1.11 \| good	20.246 \| good	0.623 \| good	0.69 \| good	0.112 \| good
2025-10-21T04:00:00.000Z	17 \| good	0.518 \| good	2.789 \| good	18.272 \| good	0.617 \| good	0.788 \| good	0.118 \| good
2025-10-21T05:00:00.000Z	14 \| good	1.183 \| good	5.487 \| good	15.319 \| good	0.6 \| good	0.782 \| good	0.117 \| good
2025-10-21T06:00:00.000Z	12 \| good	1.706 \| good	7.612 \| good	12.67 \| good	0.582 \| good	0.789 \| good	0.117 \| good
2025-10-21T07:00:00.000Z	22 \| good	3.775 \| good	16.202 \| good	14.924 \| good	0.488 \| good	0.749 \| good	0.117 \| good
2025-10-21T08:00:00.000Z	15 \| good	0.944 \| good	3.789 \| good	16.321 \| good	0.384 \| good	0.657 \| good	0.12 \| good
2025-10-21T09:00:00.000Z	16 \| good	3.132 \| good	14.252 \| good	14.606 \| good	0.286 \| good	0.615 \| good	0.123 \| good
2025-10-21T10:00:00.000Z	15 \| good	0.551 \| good	2.416 \| good	15.899 \| good	0.253 \| good	0.569 \| good	0.123 \| good
2025-10-21T11:00:00.000Z	14 \| good	1.769 \| good	7.419 \| good	15.456 \| good	0.22 \| good	0.573 \| good	0.123 \| good
2025-10-21T12:00:00.000Z	16 \| good	2.84 \| good	11.957 \| good	15.821 \| good	0.155 \| good	0.64 \| good	0.124 \| good
2025-10-21T13:00:00.000Z	16 \| good	2.727 \| good	10.974 \| good	15.64 \| good	0.129 \| good	0.627 \| good	0.126 \| good
2025-10-21T14:00:00.000Z	16 \| good	3.237 \| good	14.017 \| good	8.468 \| good	0.092 \| good	0.641 \| good	0.125 \| good
2025-10-21T15:00:00.000Z	12 \| good	1.253 \| good	5.503 \| good	13.306 \| good	0.064 \| good	0.621 \| good	0.126 \| good
2025-10-21T16:00:00.000Z	12 \| good	0.95 \| good	3.481 \| good	13.15 \| good	0.244 \| good	0.554 \| good	0.124 \| good
2025-10-21T16:00:00.000Z	12 \| good	1.253 \| good	5.503 \| good	13.306 \| good	0.064 \| good	0.621 \| good	0.126 \| good
2025-10-21T17:00:00.000Z	14 \| good	0.765 \| good	3 \| good	14.832 \| good	0.011 \| good	0.398 \| good	0.117 \| good
2025-10-21T18:00:00.000Z	15 \| good	0.339 \| good	1.025 \| good	16.204 \| good	0.008 \| good	0.348 \| good	0.116 \| good
2025-10-21T19:00:00.000Z	20 \| good	0.241 \| good	0.568 \| good	21.893 \| good	0.028 \| good	0.332 \| good	0.112 \| good
2025-10-21T20:00:00.000Z	21 \| good	0.123 \| good	0 \| good	23.432 \| good	0.048 \| good	0.315 \| good	0.109 \| good
2025-10-21T21:00:00.000Z	19 \| good	0.287 \| good	0.958 \| good	20.164 \| good	0.068 \| good	0.299 \| good	0.105 \| good
2025-10-21T22:00:00.000Z	20 \| good	1.543 \| good	6.067 \| good	21.838 \| good	0.089 \| good	0.523 \| good	0.107 \| good
2025-10-21T23:00:00.000Z	22 \| good	3.329 \| good	14.901 \| good	24.169 \| good	0.111 \| good	0.748 \| good	0.109 \| good
2025-10-22T00:00:00.000Z	23 \| good	0.863 \| good	3.48 \| good	25.25 \| good	0.132 \| good	0.972 \| good	0.112 \| good
2025-10-22T01:00:00.000Z	18 \| good	0.414 \| good	1.531 \| good	18.964 \| good	0.139 \| good	1.08 \| good	0.114 \| good
2025-10-22T02:00:00.000Z	15 \| good	0.626 \| good	2 \| good	16.091 \| good	0.145 \| good	1.188 \| good	0.117 \| good
2025-10-22T03:00:00.000Z	14 \| good	0.595 \| good	2 \| good	15.026 \| good	0.152 \| good	1.296 \| good	0.119 \| good
2025-10-22T04:00:00.000Z	10 \| good	0.582 \| good	2 \| good	10.69 \| good	0.14 \| good	1.427 \| good	0.121 \| good
2025-10-22T05:00:00.000Z	9 \| good	0.364 \| good	1 \| good	9.559 \| good	0.128 \| good	1.558 \| good	0.123 \| good
2025-10-22T06:00:00.000Z	11 \| good	1.518 \| good	6 \| good	10.196 \| good	0.115 \| good	1.688 \| good	0.125 \| good
2025-10-22T07:00:00.000Z	11 \| good	2.457 \| good	10 \| good	9.634 \| good	0.106 \| good	1.716 \| good	0.126 \| good
2025-10-22T08:00:00.000Z	16 \| good	2.787 \| good	11.433 \| good	9.606 \| good	0.097 \| good	1.744 \| good	0.127 \| good
2025-10-22T09:00:00.000Z	16 \| good	3.018 \| good	12 \| good	9.747 \| good	0.088 \| good	1.772 \| good	0.127 \| good
2025-10-22T10:00:00.000Z	16 \| good	3.316 \| good	14.834 \| good	9.361 \| good	0.088 \| good	1.873 \| good	0.129 \| good
2025-10-22T11:00:00.000Z	11 \| good	1.701 \| good	7 \| good	6.461 \| good	0.088 \| good	1.974 \| good	0.13 \| good
2025-10-22T12:00:00.000Z	22 \| good	3.639 \| good	16 \| good	1.28 \| good	0.088 \| good	2.075 \| good	0.131 \| good
2025-10-22T13:00:00.000Z	22 \| good	4.431 \| good	19 \| good	0.432 \| good	0.09 \| good	1.981 \| good	0.135 \| good
2025-10-22T14:00:00.000Z	27 \| good	5.296 \| good	22.975 \| good	0.327 \| good	0.092 \| good	1.887 \| good	0.138 \| good
2025-10-22T15:00:00.000Z	22 \| good	3.932 \| good	17 \| good	0.265 \| good	0.094 \| good	1.793 \| good	0.141 \| good
2025-10-22T16:00:00.000Z	16 \| good	3.17 \| good	14 \| good	8.072 \| good	0.282 \| good	1.398 \| good	0.137 \| good
2025-10-22T17:00:00.000Z	14 \| good	1.105 \| good	4.898 \| good	15.406 \| good	0.47 \| good	1.004 \| good	0.132 \| good
2025-10-22T18:00:00.000Z	19 \| good	1.145 \| good	5 \| good	20.041 \| good	0.659 \| good	0.609 \| good	0.128 \| good
2025-10-22T19:00:00.000Z	19 \| good	1.352 \| good	5 \| good	20.936 \| good	0.758 \| good	0.611 \| good	0.127 \| good
2025-10-22T20:00:00.000Z	21 \| good	2.398 \| good	10 \| good	23.418 \| good	0.857 \| good	0.612 \| good	0.127 \| good
2025-10-22T21:00:00.000Z	20 \| good	0.141 \| good	0.071 \| good	22.153 \| good	0.957 \| good	0.613 \| good	0.126 \| good
2025-10-22T22:00:00.000Z	22 \| good	1.146 \| good	5 \| good	23.697 \| good	0.85 \| good	1.063 \| good	0.129 \| good
2025-10-22T23:00:00.000Z	19 \| good	2.616 \| good	10.876 \| good	20.603 \| good	0.744 \| good	1.513 \| good	0.132 \| good
2025-10-23T00:00:00.000Z	16 \| good	2.222 \| good	9.02 \| good	17.149 \| good	0.637 \| good	1.963 \| good	0.134 \| good
2025-10-23T01:00:00.000Z	22 \| good	3.521 \| good	15.853 \| good	15.013 \| good	0.558 \| good	2.139 \| good	0.136 \| good
2025-10-23T02:00:00.000Z	11 \| good	0.35 \| good	1.036 \| good	12.043 \| good	0.479 \| good	2.315 \| good	0.137 \| good
2025-10-23T03:00:00.000Z	12 \| good	0.77 \| good	2.996 \| good	12.81 \| good	0.4 \| good	2.491 \| good	0.139 \| good
2025-10-23T04:00:00.000Z	10 \| good	1.442 \| good	5.925 \| good	10.833 \| good	0.359 \| good	2.664 \| good	0.139 \| good
2025-10-23T05:00:00.000Z	11 \| good	2.217 \| good	9 \| good	9.38 \| good	0.319 \| good	2.838 \| good	0.14 \| good
2025-10-23T06:00:00.000Z	22 \| good	3.756 \| good	16.071 \| good	9.629 \| good	0.279 \| good	3.012 \| good	0.141 \| good
2025-10-23T07:00:00.000Z	27 \| good	5.245 \| good	22.977 \| good	10.338 \| good	0.267 \| good	3.057 \| good	0.14 \| good
2025-10-23T08:00:00.000Z	22 \| good	4.294 \| good	19 \| good	9.726 \| good	0.256 \| good	3.103 \| good	0.139 \| good
2025-10-23T09:00:00.000Z	16 \| good	3.487 \| good	15.48 \| good	9.783 \| good	0.244 \| good	3.148 \| good	0.139 \| good
2025-10-23T10:00:00.000Z	27 \| good	5.286 \| good	23 \| good	10.591 \| good	0.244 \| good	3.362 \| good	0.139 \| good
2025-10-23T11:00:00.000Z	27 \| good	4.883 \| good	21 \| good	8.216 \| good	0.245 \| good	3.576 \| good	0.14 \| good
2025-10-23T12:00:00.000Z	33 \| good	5.822 \| good	25.101 \| good	1.246 \| good	0.245 \| good	3.79 \| good	0.14 \| good
2025-10-23T13:00:00.000Z	33 \| good	6.132 \| good	27.05 \| good	1.715 \| good	0.237 \| good	3.888 \| good	0.15 \| good
2025-10-23T14:00:00.000Z	38 \| good	6.969 \| good	30.898 \| good	0.453 \| good	0.229 \| good	3.987 \| good	0.16 \| good
2025-10-23T15:00:00.000Z	27 \| good	5.478 \| good	23.05 \| good	0.712 \| good	0.22 \| good	4.086 \| good	0.17 \| good
2025-10-23T16:00:00.000Z	27 \| good	5.109 \| good	22 \| good	5.431 \| good	0.252 \| good	2.853 \| good	0.152 \| good

Watertown

Empower business decisions with accurate air quality data

Watertown, South Dakota air quality map: Real-time AQI near you

0.24ppm

How accurate is South Dakota, USA air quality data?

Air quality measurements for South Dakota, USA meet strict US EPA standards. These measurements are collected from reliable sources, including satellites and ground-based monitoring systems. Advanced algorithms and machine learning techniques are applied to the data, factoring in variables such as traffic and population density, to ensure precision and reliability.

Source: Ambee Data Sources

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Frequently asked questions

How frequently is the air quality data for Watertown, South Dakota updated?

Air quality data for Watertown, South Dakota is updated on an hourly basis.

When did Watertown, South Dakota experience the worst air quality in the last 24 hours?

The worst air quality in Watertown, South Dakota was recorded at 07:00:00 on 2025-10-20.

When did Watertown, South Dakota have its best air quality in the last 24 hours?

The best air quality in Watertown, South Dakota was recorded at 03:00:00 on 2025-10-21.

What is the real-time air quality index for Watertown, South Dakota?

The real-time air quality index in Watertown, South Dakota is 12, currently categorized as Good.

Which pollutant is found most often in Watertown, South Dakota?

The most common pollutant in Watertown, South Dakota is O3.

What can I do if the air quality in Watertown, South Dakota is poor?

If the air quality in Watertown, South Dakota is poor, limit outdoor activities and use a mask to safeguard your health.

What are the current PM_2.5 levels in Watertown, South Dakota?

The measured PM_2.5 levels in Watertown, South Dakota at present are 1.253 μg/m³.

What are the current PM₁₀ levels at Watertown, South Dakota?

The current PM₁₀ levels in Watertown, South Dakota are 5.503 μg/m³.

What are the current carbon monoxide (CO) levels at Watertown, South Dakota?

The current carbon monoxide (CO) level in Watertown, South Dakota is 0.126 ppm.

What are the current sulfur dioxide (SO₂) levels at Watertown, South Dakota?

The current sulfur dioxide (SO₂) levels in Watertown, South Dakota are 0.064 ppb.

What are the current ozone (O₃) levels at Watertown, South Dakota?

The current ozone (O₃) levels at Watertown, South Dakota is 13.306 ppm.

What are the current nitrogen dioxide (NO₂) levels at Watertown, South Dakota?

The current nitrogen dioxide (NO₂) levels at Watertown, South Dakota is 0.621 ppb.

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