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

The current PM10 levels in Watertown, South Dakota are 13.999 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 0.868 ppb.

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

The current ozone (O3) levels at Watertown, South Dakota is 2.003 ppm.

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

The current nitrogen dioxide (NO2) levels at Watertown, South Dakota is 6.576 ppb.

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

Q: What are the current PM2.5 levels in Watertown, South Dakota?

The measured PM2.5 levels in Watertown, South Dakota at present are 7.299 μg/m3.

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)

7.20 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

11.00 μg/m³

155

255

425

605+

Ozone (O₃)

6.00 ppb

201

201+

Sulfur Dioxide (SO₂)

0.58 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

7.03 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.26 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
2026-03-10T11:00:00.000Z	27 \| good	4.799 \| good	6 \| good	17.002 \| good	1.255 \| good	3.972 \| good	0.24 \| good
2026-03-10T12:00:00.000Z	22 \| good	4.499 \| good	7 \| good	15.002 \| good	2.304 \| good	6.547 \| good	0.239 \| good
2026-03-10T13:00:00.000Z	22 \| good	4.499 \| good	7 \| good	13.002 \| good	0.849 \| good	6.712 \| good	0.28 \| good
2026-03-10T14:00:00.000Z	27 \| good	4.999 \| good	8.999 \| good	12.002 \| good	0.521 \| good	6.992 \| good	0.319 \| good
2026-03-10T15:00:00.000Z	38 \| good	6.599 \| good	9.999 \| good	11.002 \| good	0.832 \| good	6.201 \| good	0.299 \| good
2026-03-10T16:00:00.000Z	38 \| good	6.599 \| good	9.999 \| good	10.002 \| good	0.562 \| good	5.601 \| good	0.279 \| good
2026-03-10T17:00:00.000Z	38 \| good	7.099 \| good	10.999 \| good	10.002 \| good	0.56 \| good	5.22 \| good	0.299 \| good
2026-03-10T18:00:00.000Z	38 \| good	7.4 \| good	12.002 \| good	13.002 \| good	0.883 \| good	4.603 \| good	0.279 \| good
2026-03-10T19:00:00.000Z	33 \| good	6.299 \| good	9.999 \| good	13.002 \| good	0.978 \| good	5.192 \| good	0.319 \| good
2026-03-10T20:00:00.000Z	27 \| good	4.9 \| good	10.999 \| good	12.002 \| good	0.746 \| good	2.679 \| good	0.319 \| good
2026-03-10T21:00:00.000Z	27 \| good	4.9 \| good	10.999 \| good	16.001 \| good	0.866 \| good	2.35 \| good	0.319 \| good
2026-03-10T22:00:00.000Z	27 \| good	5.1 \| good	11.003 \| good	15.002 \| good	1.089 \| good	2.277 \| good	0.319 \| good
2026-03-10T23:00:00.000Z	33 \| good	6.099 \| good	10 \| good	14.002 \| good	0.779 \| good	2.135 \| good	0.319 \| good
2026-03-11T00:00:00.000Z	38 \| good	6.8 \| good	10 \| good	15.002 \| good	0.559 \| good	2.417 \| good	0.319 \| good
2026-03-11T01:00:00.000Z	38 \| good	7 \| good	10 \| good	15.002 \| good	1.433 \| good	3.926 \| good	0.299 \| good
2026-03-11T02:00:00.000Z	38 \| good	6.999 \| good	10 \| good	15.002 \| good	0.951 \| good	5.631 \| good	0.299 \| good
2026-03-11T03:00:00.000Z	27 \| good	4.6 \| good	11 \| good	15.002 \| good	1.038 \| good	6.195 \| good	0.279 \| good
2026-03-11T04:00:00.000Z	22 \| good	3.9 \| good	9 \| good	15.002 \| good	0.849 \| good	4.108 \| good	0.26 \| good
2026-03-11T05:00:00.000Z	16 \| good	3 \| good	7 \| good	15.002 \| good	0.849 \| good	3.497 \| good	0.239 \| good
2026-03-11T06:00:00.000Z	16 \| good	3 \| good	7 \| good	15.002 \| good	0.832 \| good	3.392 \| good	0.259 \| good
2026-03-11T07:00:00.000Z	16 \| good	2.7 \| good	5.001 \| good	16.002 \| good	0.832 \| good	3.92 \| good	0.24 \| good
2026-03-11T08:00:00.000Z	16 \| good	2.701 \| good	5.001 \| good	16.002 \| good	0.832 \| good	5.095 \| good	0.219 \| good
2026-03-11T09:00:00.000Z	16 \| good	2.7 \| good	5 \| good	16.002 \| good	0.815 \| good	5.016 \| good	0.239 \| good
2026-03-11T10:00:00.000Z	33 \| good	5.599 \| good	7 \| good	13.003 \| good	0.849 \| good	5.31 \| good	0.219 \| good
2026-03-11T11:00:00.000Z	33 \| good	5.599 \| good	7 \| good	13.003 \| good	0.98 \| good	5.985 \| good	0.239 \| good
2026-03-11T12:00:00.000Z	33 \| good	5.599 \| good	7 \| good	13.003 \| good	0.864 \| good	8.454 \| good	0.259 \| good
2026-03-11T13:00:00.000Z	27 \| good	5.399 \| good	8 \| good	14.002 \| good	0.881 \| good	8.677 \| good	0.28 \| good
2026-03-11T14:00:00.000Z	27 \| good	5.199 \| good	8 \| good	13.002 \| good	0.832 \| good	8.816 \| good	0.339 \| good
2026-03-11T15:00:00.000Z	44 \| good	7.599 \| good	10.999 \| good	13.002 \| good	0.525 \| good	4.818 \| good	0.319 \| good
2026-03-11T16:00:00.000Z	44 \| good	7.599 \| good	10.999 \| good	14.002 \| good	0.848 \| good	3.964 \| good	0.299 \| good
2026-03-11T17:00:00.000Z	44 \| good	7.599 \| good	11 \| good	14.002 \| good	0.913 \| good	3.647 \| good	0.299 \| good
2026-03-11T18:00:00.000Z	38 \| good	6.699 \| good	9 \| good	26.738 \| good	0.992 \| good	3.296 \| good	0.299 \| good
2026-03-11T19:00:00.000Z	44 \| good	7.699 \| good	11.999 \| good	19.002 \| good	1.728 \| good	3.462 \| good	0.279 \| good
2026-03-11T20:00:00.000Z	38 \| good	7.199 \| good	18.998 \| good	20.003 \| good	2.062 \| good	3.507 \| good	0.26 \| good
2026-03-11T21:00:00.000Z	38 \| good	7.199 \| good	18.998 \| good	18.003 \| good	1.185 \| good	3.441 \| good	0.26 \| good
2026-03-11T22:00:00.000Z	38 \| good	6.999 \| good	21.998 \| good	18.003 \| good	2.343 \| good	3.466 \| good	0.24 \| good
2026-03-11T23:00:00.000Z	22 \| good	4.2 \| good	19.998 \| good	22.003 \| good	1.684 \| good	3.574 \| good	0.28 \| good
2026-03-12T00:00:00.000Z	22 \| good	2.9 \| good	13.999 \| good	24.002 \| good	1.938 \| good	1.885 \| good	0.24 \| good
2026-03-12T01:00:00.000Z	21 \| good	1.5 \| good	11.999 \| good	23.002 \| good	0.986 \| good	4.652 \| good	0.3 \| good
2026-03-12T02:00:00.000Z	21 \| good	1.5 \| good	12.999 \| good	23.002 \| good	0.882 \| good	3.119 \| good	0.3 \| good
2026-03-12T03:00:00.000Z	38 \| good	6.799 \| good	23.997 \| good	16.002 \| good	0.915 \| good	3.225 \| good	0.28 \| good
2026-03-12T04:00:00.000Z	49 \| good	9.499 \| good	21.997 \| good	16.002 \| good	0.915 \| good	4.025 \| good	0.26 \| good
2026-03-12T05:00:00.000Z	52 \| moderate	10.299 \| good	24.997 \| good	14.003 \| good	0.9 \| good	6.514 \| good	0.26 \| good
2026-03-12T06:00:00.000Z	52 \| moderate	10.299 \| good	24.997 \| good	8.003 \| good	0.865 \| good	6.329 \| good	0.26 \| good
2026-03-12T07:00:00.000Z	49 \| good	8.599 \| good	18.998 \| good	5.003 \| good	0.833 \| good	6.762 \| good	0.241 \| good
2026-03-12T08:00:00.000Z	38 \| good	7.299 \| good	13.999 \| good	2.003 \| good	0.868 \| good	6.576 \| good	0.24 \| good
2026-03-12T09:00:00.000Z	44 \| good	8.399 \| good	11.999 \| good	4.003 \| good	0.866 \| good	7.87 \| good	0.28 \| good
2026-03-12T10:00:00.000Z	38 \| good	7.199 \| good	10.999 \| good	6.002 \| good	0.578 \| good	7.028 \| good	0.26 \| good
2026-03-12T10:00:00.000Z	38 \| good	7.199 \| good	10.999 \| good	6.002 \| good	0.578 \| good	7.028 \| good	0.26 \| good
2026-03-12T10:00:00.000Z	22 \| good	4.219 \| good	18.811 \| good	14.632 \| good	0.205 \| good	1.011 \| good	0.137 \| good
2026-03-12T11:00:00.000Z	14 \| good	2.23 \| good	9 \| good	14.688 \| good	0.178 \| good	0.863 \| good	0.136 \| good
2026-03-12T12:00:00.000Z	16 \| good	2.575 \| good	10.153 \| good	11.918 \| good	0.151 \| good	0.716 \| good	0.136 \| good
2026-03-12T13:00:00.000Z	33 \| good	5.552 \| good	23.883 \| good	11.558 \| good	0.148 \| good	0.802 \| good	0.135 \| good
2026-03-12T14:00:00.000Z	33 \| good	5.897 \| good	25.866 \| good	12.635 \| good	0.146 \| good	0.887 \| good	0.134 \| good
2026-03-12T15:00:00.000Z	33 \| good	6.463 \| good	29 \| good	18.967 \| good	0.144 \| good	0.973 \| good	0.134 \| good
2026-03-12T16:00:00.000Z	27 \| good	5.344 \| good	23 \| good	19.724 \| good	0.135 \| good	0.894 \| good	0.134 \| good
2026-03-12T17:00:00.000Z	33 \| good	6.339 \| good	28 \| good	21.06 \| good	0.126 \| good	0.815 \| good	0.135 \| good
2026-03-12T18:00:00.000Z	27 \| good	5.036 \| good	22 \| good	22.935 \| good	0.117 \| good	0.736 \| good	0.135 \| good
2026-03-12T19:00:00.000Z	27 \| good	5.414 \| good	23 \| good	22.317 \| good	0.097 \| good	0.812 \| good	0.133 \| good
2026-03-12T20:00:00.000Z	33 \| good	6.436 \| good	28.878 \| good	24.692 \| good	0.077 \| good	0.887 \| good	0.131 \| good
2026-03-12T21:00:00.000Z	27 \| good	5.316 \| good	22.977 \| good	22.66 \| good	0.057 \| good	0.962 \| good	0.128 \| good
2026-03-12T22:00:00.000Z	27 \| good	5.112 \| good	22.054 \| good	20.453 \| good	0.072 \| good	0.793 \| good	0.123 \| good
2026-03-12T23:00:00.000Z	33 \| good	6.481 \| good	29 \| good	28.066 \| good	0.087 \| good	0.623 \| good	0.118 \| good
2026-03-13T00:00:00.000Z	29 \| good	3.31 \| good	14.878 \| good	30.637 \| good	0.102 \| good	0.454 \| good	0.113 \| good
2026-03-13T01:00:00.000Z	29 \| good	1.857 \| good	8 \| good	30.794 \| good	0.128 \| good	0.574 \| good	0.12 \| good
2026-03-13T02:00:00.000Z	23 \| good	3.823 \| good	16.533 \| good	25.3 \| good	0.153 \| good	0.695 \| good	0.127 \| good
2026-03-13T03:00:00.000Z	44 \| good	7.678 \| good	33.925 \| good	24.813 \| good	0.179 \| good	0.816 \| good	0.134 \| good
2026-03-13T04:00:00.000Z	38 \| good	6.896 \| good	30.562 \| good	20.726 \| good	0.148 \| good	0.864 \| good	0.14 \| good
2026-03-13T05:00:00.000Z	27 \| good	5.13 \| good	22.117 \| good	23.529 \| good	0.118 \| good	0.911 \| good	0.146 \| good
2026-03-13T06:00:00.000Z	20 \| good	3.461 \| good	15.166 \| good	21.928 \| good	0.088 \| good	0.959 \| good	0.152 \| good
2026-03-13T07:00:00.000Z	22 \| good	4.304 \| good	18.914 \| good	20.569 \| good	0.094 \| good	0.854 \| good	0.154 \| good
2026-03-13T08:00:00.000Z	27 \| good	4.687 \| good	20.556 \| good	19.252 \| good	0.099 \| good	0.749 \| good	0.155 \| good
2026-03-13T09:00:00.000Z	22 \| good	4.442 \| good	19.179 \| good	18.002 \| good	0.105 \| good	0.643 \| good	0.157 \| good
2026-03-13T10:00:00.000Z	33 \| good	5.864 \| good	25.343 \| good	17.023 \| good	0.099 \| good	0.556 \| good	0.156 \| good
2026-03-13T11:00:00.000Z	33 \| good	5.808 \| good	25.094 \| good	22.341 \| good	0.093 \| good	0.469 \| good	0.154 \| good
2026-03-13T12:00:00.000Z	38 \| good	7.305 \| good	32 \| good	18.014 \| good	0.087 \| good	0.381 \| good	0.153 \| good
2026-03-13T13:00:00.000Z	33 \| good	6.074 \| good	27 \| good	18.389 \| good	0.1 \| good	0.406 \| good	0.151 \| good
2026-03-13T14:00:00.000Z	33 \| good	6.002 \| good	27 \| good	19.427 \| good	0.114 \| good	0.431 \| good	0.15 \| good
2026-03-13T15:00:00.000Z	33 \| good	6.247 \| good	27.977 \| good	18.379 \| good	0.127 \| good	0.456 \| good	0.149 \| good
2026-03-13T16:00:00.000Z	22 \| good	4.331 \| good	19 \| good	19.318 \| good	0.146 \| good	0.405 \| good	0.147 \| good
2026-03-13T17:00:00.000Z	27 \| good	5.021 \| good	21.579 \| good	19.815 \| good	0.166 \| good	0.354 \| good	0.145 \| good
2026-03-13T18:00:00.000Z	22 \| good	3.973 \| good	17.495 \| good	19.968 \| good	0.185 \| good	0.303 \| good	0.142 \| good
2026-03-13T19:00:00.000Z	19 \| good	2.824 \| good	11.579 \| good	20.885 \| good	0.196 \| good	0.302 \| good	0.141 \| good
2026-03-13T20:00:00.000Z	22 \| good	3.557 \| good	15.925 \| good	18.735 \| good	0.206 \| good	0.302 \| good	0.139 \| good
2026-03-13T21:00:00.000Z	18 \| good	3.068 \| good	12.235 \| good	18.533 \| good	0.217 \| good	0.301 \| good	0.137 \| good
2026-03-13T22:00:00.000Z	19 \| good	2.633 \| good	10.604 \| good	20.701 \| good	0.212 \| good	0.536 \| good	0.139 \| good
2026-03-13T23:00:00.000Z	22 \| good	3.61 \| good	15.96 \| good	23.878 \| good	0.208 \| good	0.77 \| good	0.142 \| good
2026-03-14T00:00:00.000Z	22 \| good	4.052 \| good	17.626 \| good	20.282 \| good	0.204 \| good	1.005 \| good	0.144 \| good
2026-03-14T01:00:00.000Z	22 \| good	3.618 \| good	15.964 \| good	14.85 \| good	0.195 \| good	1.309 \| good	0.148 \| good
2026-03-14T02:00:00.000Z	22 \| good	3.989 \| good	17.448 \| good	17.476 \| good	0.187 \| good	1.613 \| good	0.153 \| good
2026-03-14T03:00:00.000Z	27 \| good	5.129 \| good	22.051 \| good	17.734 \| good	0.178 \| good	1.917 \| good	0.157 \| good
2026-03-14T04:00:00.000Z	33 \| good	6.431 \| good	28.883 \| good	18.117 \| good	0.18 \| good	1.623 \| good	0.154 \| good
2026-03-14T05:00:00.000Z	27 \| good	4.553 \| good	19.973 \| good	15.117 \| good	0.181 \| good	1.329 \| good	0.15 \| good
2026-03-14T06:00:00.000Z	35 \| good	2.755 \| good	3.831 \| good	38.462 \| good	0.183 \| good	1.028 \| good	0.147 \| good
2026-03-14T07:00:00.000Z	11 \| good	2.275 \| good	9.067 \| good	11.42 \| good	0.174 \| good	0.987 \| good	0.147 \| good
2026-03-14T08:00:00.000Z	16 \| good	2.591 \| good	10.531 \| good	13.145 \| good	0.166 \| good	0.938 \| good	0.147 \| good
2026-03-14T09:00:00.000Z	16 \| good	2.646 \| good	10.965 \| good	11.187 \| good	0.158 \| good	0.89 \| good	0.147 \| 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 06:00:00 on 2026-03-12.

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 09:00:00 on 2026-03-11.

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

The real-time air quality index in Watertown, South Dakota is 38, currently categorized as Good.

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

The most common pollutant in Watertown, South Dakota is PM2.5.

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 7.299 μg/m³.

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

The current PM₁₀ levels in Watertown, South Dakota are 13.999 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 0.24 ppm.

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

The current sulfur dioxide (SO₂) levels in Watertown, South Dakota are 0.868 ppb.

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

The current ozone (O₃) levels at Watertown, South Dakota is 2.003 ppm.

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

The current nitrogen dioxide (NO₂) levels at Watertown, South Dakota is 6.576 ppb.

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