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

The current PM10 levels in Watertown, South Dakota are 93.012 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 1.166 ppb.

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

The current ozone (O3) levels at Watertown, South Dakota is 25.002 ppm.

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

The current nitrogen dioxide (NO2) levels at Watertown, South Dakota is 0.902 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 5.801 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)

7.62 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

33.95 μg/m³

155

255

425

605+

Ozone (O₃)

22.43 ppb

201

201+

Sulfur Dioxide (SO₂)

0.02 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

0.59 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.15 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
2026-04-22T05:00:00.000Z	56 \| moderate	12.2 \| fine	60.001 \| fine	24.002 \| good	0.614 \| good	5.488 \| good	0.378 \| good
2026-04-22T06:00:00.000Z	67 \| moderate	17.799 \| fine	57.002 \| fine	25.001 \| good	0.613 \| good	5.347 \| good	0.378 \| good
2026-04-22T07:00:00.000Z	64 \| moderate	15.999 \| fine	45.003 \| good	24.001 \| good	0.664 \| good	2.547 \| good	0.539 \| good
2026-04-22T08:00:00.000Z	58 \| moderate	12.7 \| fine	35.002 \| good	19.002 \| good	0.918 \| good	2.246 \| good	0.259 \| good
2026-04-22T09:00:00.000Z	52 \| moderate	10.3 \| good	31.002 \| good	19.002 \| good	0.951 \| good	1.83 \| good	0.24 \| good
2026-04-22T10:00:00.000Z	52 \| moderate	10 \| good	35.001 \| good	16.003 \| good	0.884 \| good	2.287 \| good	0.219 \| good
2026-04-22T11:00:00.000Z	52 \| moderate	9.7 \| good	34 \| good	19.002 \| good	0.814 \| good	3.615 \| good	0.239 \| good
2026-04-22T12:00:00.000Z	49 \| good	8.7 \| good	36 \| good	21.003 \| good	0.541 \| good	11.928 \| good	0.319 \| good
2026-04-22T13:00:00.000Z	44 \| good	8.4 \| good	48 \| good	20.003 \| good	0.541 \| good	10.678 \| good	0.32 \| good
2026-04-22T14:00:00.000Z	56 \| moderate	9.1 \| good	64.998 \| fine	21.002 \| good	0.575 \| good	7.027 \| good	0.319 \| good
2026-04-22T15:00:00.000Z	74 \| moderate	10.4 \| good	100.992 \| fine	21.002 \| good	0.659 \| good	5.043 \| good	0.299 \| good
2026-04-22T16:00:00.000Z	74 \| moderate	10.4 \| good	100.995 \| fine	19.002 \| good	0.727 \| good	5.263 \| good	0.299 \| good
2026-04-22T17:00:00.000Z	74 \| moderate	10.4 \| good	100.996 \| fine	19.003 \| good	0.726 \| good	5.061 \| good	0.319 \| good
2026-04-22T18:00:00.000Z	62 \| moderate	10.4 \| good	78.001 \| fine	23.002 \| good	1.064 \| good	4.257 \| good	0.319 \| good
2026-04-22T19:00:00.000Z	94 \| moderate	31.997 \| fine	139.993 \| fine	25.003 \| good	1.048 \| good	4.32 \| good	0.319 \| good
2026-04-22T20:00:00.000Z	99 \| moderate	14.401 \| fine	151.999 \| fine	30.003 \| good	1.251 \| good	3.869 \| good	0.339 \| good
2026-04-22T21:00:00.000Z	99 \| moderate	14.4 \| fine	152 \| fine	30.003 \| good	1.322 \| good	3.863 \| good	0.299 \| good
2026-04-22T22:00:00.000Z	99 \| moderate	14.401 \| fine	151.993 \| fine	30.004 \| good	1.339 \| good	4.001 \| good	0.319 \| good
2026-04-22T23:00:00.000Z	63 \| moderate	10.496 \| good	78.755 \| fine	30.004 \| good	1.464 \| good	3.891 \| good	0.339 \| good
2026-04-23T00:00:00.000Z	183 \| unhealthy	25.6 \| fine	320.006 \| poor	43.002 \| good	1.446 \| good	5.421 \| good	0.319 \| good
2026-04-23T01:00:00.000Z	167 \| unhealthy	27.199 \| fine	287.006 \| poor	44.002 \| good	1.429 \| good	5.827 \| good	0.299 \| good
2026-04-23T02:00:00.000Z	126 \| sensitive	15.201 \| fine	206.003 \| moderate	44.001 \| good	1.376 \| good	6.315 \| good	0.319 \| good
2026-04-23T03:00:00.000Z	98 \| moderate	13.9 \| fine	149.994 \| fine	38.002 \| good	1.394 \| good	5.106 \| good	0.319 \| good
2026-04-23T04:00:00.000Z	78 \| moderate	11.6 \| good	108.996 \| fine	38.002 \| good	1.429 \| good	4.089 \| good	0.319 \| good
2026-04-23T05:00:00.000Z	67 \| moderate	10.1 \| good	88 \| fine	33.002 \| good	1.288 \| good	3.301 \| good	0.26 \| good
2026-04-23T06:00:00.000Z	67 \| moderate	10.1 \| good	88.001 \| fine	28.002 \| good	1.253 \| good	3.437 \| good	0.279 \| good
2026-04-23T07:00:00.000Z	68 \| moderate	9.6 \| good	88.998 \| fine	27.002 \| good	1.235 \| good	2.613 \| good	0.279 \| good
2026-04-23T08:00:00.000Z	58 \| moderate	8 \| good	69.998 \| fine	27.001 \| good	1.201 \| good	2.561 \| good	0.279 \| good
2026-04-23T09:00:00.000Z	43 \| good	6.1 \| good	45.999 \| good	24.002 \| good	1.183 \| good	1.899 \| good	0.26 \| good
2026-04-23T10:00:00.000Z	33 \| good	6.3 \| good	36 \| good	21.002 \| good	1.129 \| good	2.347 \| good	0.279 \| good
2026-04-23T11:00:00.000Z	38 \| good	7 \| good	26 \| good	18.002 \| good	1.039 \| good	3.143 \| good	0.279 \| good
2026-04-23T12:00:00.000Z	38 \| good	7 \| good	25.999 \| good	18.002 \| good	1.135 \| good	4.512 \| good	0.279 \| good
2026-04-23T13:00:00.000Z	38 \| good	7.2 \| good	23 \| good	19.002 \| good	1.262 \| good	4.247 \| good	0.299 \| good
2026-04-23T14:00:00.000Z	33 \| good	6.2 \| good	22.999 \| good	19.002 \| good	1.208 \| good	4.031 \| good	0.319 \| good
2026-04-23T15:00:00.000Z	44 \| good	8.4 \| good	34.997 \| good	17.003 \| good	0.936 \| good	3.099 \| good	0.319 \| good
2026-04-23T16:00:00.000Z	44 \| good	8.4 \| good	35.006 \| good	17.002 \| good	1.201 \| good	3.215 \| good	0.319 \| good
2026-04-23T17:00:00.000Z	49 \| good	9.2 \| good	43.004 \| good	17.002 \| good	1.001 \| good	3.206 \| good	0.339 \| good
2026-04-23T18:00:00.000Z	49 \| good	8.9 \| good	43.005 \| good	22.002 \| good	0.983 \| good	3.366 \| good	0.339 \| good
2026-04-23T19:00:00.000Z	38 \| good	7.301 \| good	40.008 \| good	25.003 \| good	1.001 \| good	4.183 \| good	0.319 \| good
2026-04-23T20:00:00.000Z	34 \| good	6.101 \| good	37.006 \| good	28.003 \| good	1.13 \| good	4.965 \| good	0.359 \| good
2026-04-23T21:00:00.000Z	39 \| good	5.701 \| good	42.004 \| good	31.003 \| good	1.059 \| good	4.408 \| good	0.42 \| good
2026-04-23T22:00:00.000Z	54 \| moderate	6.5 \| good	61.001 \| fine	30.003 \| good	1.13 \| good	3.061 \| good	0.4 \| good
2026-04-23T23:00:00.000Z	95 \| moderate	7.1 \| good	142.987 \| fine	26.003 \| good	1.201 \| good	2.764 \| good	0.38 \| good
2026-04-24T00:00:00.000Z	109 \| sensitive	8.4 \| good	171.982 \| moderate	25.003 \| good	1.13 \| good	2.648 \| good	0.38 \| good
2026-04-24T01:00:00.000Z	87 \| moderate	7.601 \| good	127.013 \| fine	26.002 \| good	1.166 \| good	1.176 \| good	0.359 \| good
2026-04-24T02:00:00.000Z	70 \| moderate	5.801 \| good	93.012 \| fine	25.002 \| good	1.166 \| good	0.902 \| good	0.319 \| good
2026-04-24T03:00:00.000Z	44 \| good	7.622 \| good	33.95 \| good	22.43 \| good	0.023 \| good	0.589 \| good	0.148 \| good
2026-04-24T04:00:00.000Z	36 \| good	3.701 \| good	39.007 \| good	22.002 \| good	1.095 \| good	0.798 \| good	0.239 \| good
2026-04-24T04:00:00.000Z	44 \| good	7.622 \| good	33.95 \| good	22.43 \| good	0.023 \| good	0.589 \| good	0.148 \| good
2026-04-24T04:00:00.000Z	54 \| moderate	11.29 \| good	50 \| good	19.955 \| good	0.017 \| good	0.569 \| good	0.151 \| good
2026-04-24T05:00:00.000Z	38 \| good	7.167 \| good	32 \| good	20.141 \| good	0.021 \| good	0.599 \| good	0.151 \| good
2026-04-24T06:00:00.000Z	22 \| good	4.414 \| good	19 \| good	17.178 \| good	0.026 \| good	0.629 \| good	0.151 \| good
2026-04-24T07:00:00.000Z	22 \| good	3.714 \| good	16 \| good	11.92 \| good	0.046 \| good	0.641 \| good	0.152 \| good
2026-04-24T08:00:00.000Z	27 \| good	5.043 \| good	22 \| good	11.358 \| good	0.066 \| good	0.653 \| good	0.152 \| good
2026-04-24T09:00:00.000Z	22 \| good	3.621 \| good	16 \| good	15.582 \| good	0.086 \| good	0.664 \| good	0.152 \| good
2026-04-24T10:00:00.000Z	38 \| good	6.656 \| good	29.933 \| good	12.981 \| good	0.099 \| good	0.726 \| good	0.152 \| good
2026-04-24T11:00:00.000Z	38 \| good	7 \| good	31 \| good	18.488 \| good	0.112 \| good	0.787 \| good	0.153 \| good
2026-04-24T12:00:00.000Z	33 \| good	5.966 \| good	27 \| good	20.37 \| good	0.125 \| good	0.849 \| good	0.153 \| good
2026-04-24T13:00:00.000Z	33 \| good	5.542 \| good	24 \| good	19.371 \| good	0.157 \| good	0.752 \| good	0.153 \| good
2026-04-24T14:00:00.000Z	44 \| good	7.638 \| good	33.898 \| good	19.286 \| good	0.189 \| good	0.654 \| good	0.153 \| good
2026-04-24T15:00:00.000Z	33 \| good	5.711 \| good	24.929 \| good	21.683 \| good	0.221 \| good	0.557 \| good	0.152 \| good
2026-04-24T16:00:00.000Z	44 \| good	8.08 \| good	35.05 \| good	24.035 \| good	0.252 \| good	0.459 \| good	0.147 \| good
2026-04-24T17:00:00.000Z	27 \| good	5.402 \| good	23 \| good	22.947 \| good	0.283 \| good	0.36 \| good	0.142 \| good
2026-04-24T18:00:00.000Z	27 \| good	5.49 \| good	23.042 \| good	24.178 \| good	0.314 \| good	0.262 \| good	0.137 \| good
2026-04-24T19:00:00.000Z	33 \| good	5.605 \| good	24 \| good	26.677 \| good	0.314 \| good	0.252 \| good	0.135 \| good
2026-04-24T20:00:00.000Z	38 \| good	6.642 \| good	30 \| good	27.396 \| good	0.315 \| good	0.241 \| good	0.133 \| good
2026-04-24T21:00:00.000Z	44 \| good	8.165 \| good	35.975 \| good	27.176 \| good	0.315 \| good	0.231 \| good	0.131 \| good
2026-04-24T22:00:00.000Z	49 \| good	8.73 \| good	38 \| good	35.828 \| good	0.304 \| good	0.287 \| good	0.132 \| good
2026-04-24T23:00:00.000Z	44 \| good	7.91 \| good	34.838 \| good	35.557 \| good	0.293 \| good	0.344 \| good	0.132 \| good
2026-04-25T00:00:00.000Z	38 \| good	7.362 \| good	32 \| good	32.611 \| good	0.282 \| good	0.401 \| good	0.133 \| good
2026-04-25T01:00:00.000Z	38 \| good	7.231 \| good	32 \| good	26.907 \| good	0.271 \| good	0.993 \| good	0.139 \| good
2026-04-25T02:00:00.000Z	54 \| moderate	10.549 \| good	46.898 \| good	14.153 \| good	0.261 \| good	1.585 \| good	0.146 \| good
2026-04-25T03:00:00.000Z	56 \| moderate	11.818 \| good	51.978 \| good	11.22 \| good	0.25 \| good	2.177 \| good	0.152 \| good
2026-04-25T04:00:00.000Z	60 \| moderate	14.148 \| fine	63.08 \| fine	9.007 \| good	0.241 \| good	2.235 \| good	0.153 \| good
2026-04-25T05:00:00.000Z	49 \| good	9.248 \| good	41.04 \| good	12.332 \| good	0.232 \| good	2.293 \| good	0.153 \| good
2026-04-25T06:00:00.000Z	44 \| good	7.518 \| good	33 \| good	7.489 \| good	0.223 \| good	2.351 \| good	0.154 \| good
2026-04-25T07:00:00.000Z	33 \| good	5.557 \| good	23.928 \| good	9.753 \| good	0.223 \| good	1.839 \| good	0.148 \| good
2026-04-25T08:00:00.000Z	38 \| good	6.533 \| good	29 \| good	13.245 \| good	0.224 \| good	1.327 \| good	0.143 \| good
2026-04-25T09:00:00.000Z	27 \| good	5.087 \| good	22 \| good	14.974 \| good	0.224 \| good	0.815 \| good	0.138 \| good
2026-04-25T10:00:00.000Z	49 \| good	9.131 \| good	41 \| good	9.718 \| good	0.208 \| good	0.805 \| good	0.137 \| good
2026-04-25T11:00:00.000Z	38 \| good	7.44 \| good	32.937 \| good	11.893 \| good	0.193 \| good	0.795 \| good	0.136 \| good
2026-04-25T12:00:00.000Z	38 \| good	7.442 \| good	32.888 \| good	12.713 \| good	0.177 \| good	0.785 \| good	0.134 \| good
2026-04-25T13:00:00.000Z	52 \| moderate	10.199 \| good	45 \| good	11.454 \| good	0.171 \| good	0.846 \| good	0.135 \| good
2026-04-25T14:00:00.000Z	49 \| good	9.139 \| good	40.953 \| good	10.018 \| good	0.164 \| good	0.907 \| good	0.135 \| good
2026-04-25T15:00:00.000Z	33 \| good	5.887 \| good	25.937 \| good	15.135 \| good	0.157 \| good	0.968 \| good	0.135 \| good
2026-04-25T16:00:00.000Z	33 \| good	6.403 \| good	28.507 \| good	18.575 \| good	0.176 \| good	0.876 \| good	0.135 \| good
2026-04-25T17:00:00.000Z	49 \| good	8.778 \| good	38.415 \| good	20.347 \| good	0.195 \| good	0.785 \| good	0.134 \| good
2026-04-25T18:00:00.000Z	49 \| good	9.056 \| good	40.765 \| good	26.174 \| good	0.214 \| good	0.694 \| good	0.134 \| good
2026-04-25T19:00:00.000Z	44 \| good	8.219 \| good	36 \| good	26.897 \| good	0.216 \| good	0.621 \| good	0.134 \| good
2026-04-25T20:00:00.000Z	52 \| moderate	10.086 \| good	44.933 \| good	30.335 \| good	0.217 \| good	0.547 \| good	0.134 \| good
2026-04-25T21:00:00.000Z	54 \| moderate	11.066 \| good	48.898 \| good	30.892 \| good	0.219 \| good	0.474 \| good	0.134 \| good
2026-04-25T22:00:00.000Z	56 \| moderate	11.892 \| good	52.969 \| good	32.978 \| good	0.206 \| good	0.519 \| good	0.135 \| good
2026-04-25T23:00:00.000Z	52 \| moderate	9.609 \| good	43 \| good	30.762 \| good	0.194 \| good	0.564 \| good	0.136 \| good
2026-04-26T00:00:00.000Z	43 \| good	5.538 \| good	8.235 \| good	46.298 \| good	0.181 \| good	0.609 \| good	0.137 \| good
2026-04-26T01:00:00.000Z	44 \| good	8.406 \| good	36.933 \| good	35.079 \| good	0.175 \| good	1.335 \| good	0.144 \| good
2026-04-26T02:00:00.000Z	56 \| moderate	11.965 \| good	53.819 \| good	9.711 \| good	0.168 \| good	2.06 \| good	0.151 \| good
2026-04-26T03:00:00.000Z	56 \| moderate	12.259 \| fine	55.013 \| fine	8.196 \| good	0.161 \| good	2.786 \| good	0.158 \| good

Watertown

Empower business decisions with accurate air quality data

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

0.30ppm

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 12:00:00 on 2026-04-24.

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 02:00:00 on 2026-04-23.

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

The real-time air quality index in Watertown, South Dakota is 70, currently categorized as Moderate.

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

The most common pollutant in Watertown, South Dakota is PM10.

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 5.801 μg/m³.

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

The current PM₁₀ levels in Watertown, South Dakota are 93.012 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 0.319 ppm.

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

The current sulfur dioxide (SO₂) levels in Watertown, South Dakota are 1.166 ppb.

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

The current ozone (O₃) levels at Watertown, South Dakota is 25.002 ppm.

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

The current nitrogen dioxide (NO₂) levels at Watertown, South Dakota is 0.902 ppb.

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