What is the current concentration of PM10 in Vermillion, South Dakota?

The current PM10 concentration at Vermillion, South Dakota is 20.153 μg/m3.

What is the current concentration of sulfur dioxide (SO2) in Vermillion, South Dakota?

The current sulfur dioxide (SO2) concentration at Vermillion, South Dakota is 1.58 ppb.

What is the current concentration of ozone (O3) in Vermillion, South Dakota?

The current ozone (O3) concentration at Vermillion, South Dakota is 26.004 ppm.

What is the current concentration of nitrogen dioxide (NO2) in Vermillion, South Dakota?

The current nitrogen dioxide (NO2) concentration at Vermillion, South Dakota is 3.264 ppb.

Vermillion, South Dakota live air quality index now

Q: What is the current concentration of PM2.5 in Vermillion, South Dakota?

The current PM2.5 concentration at Vermillion, South Dakota is 4.13 μg/m3.

Stay updated with real-time air quality in Vermillion, 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

Vermillion, South Dakota

Last updated: ... (Local time)

Major air pollutants in Vermillion, South Dakota

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

4.13 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

20.15 μg/m³

155

255

425

605+

Ozone (O₃)

26.00 ppb

201

201+

Sulfur Dioxide (SO₂)

1.58 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

3.26 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.27 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

Vermillion, South Dakota

Get Live Pollen Counts

Vermillion, South Dakota

Scroll To Air Quality Map

Track live Vermillion, South Dakota air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-09-05T12:00:00.000Z	22 \| good	4.034 \| good	18.067 \| good	17.026 \| good	1.038 \| good	14.884 \| good	0.365 \| good
2026-09-05T13:00:00.000Z	22 \| good	4.03 \| good	18.05 \| good	19.034 \| good	1.098 \| good	14.502 \| good	0.365 \| good
2026-09-05T14:00:00.000Z	38 \| good	6.72 \| good	20.76 \| good	27.997 \| good	0.783 \| good	13.018 \| good	0.378 \| good
2026-09-05T15:00:00.000Z	28 \| good	0.245 \| good	1.115 \| good	30.006 \| good	0.736 \| good	9.994 \| good	0.391 \| good
2026-09-05T16:00:00.000Z	31 \| good	0.243 \| good	1.103 \| good	33.995 \| good	0.805 \| good	6.297 \| good	0.422 \| good
2026-09-05T17:00:00.000Z	30 \| good	2.091 \| good	17.088 \| good	32.012 \| good	4.537 \| good	7.55 \| good	0.422 \| good
2026-09-05T18:00:00.000Z	33 \| good	2.894 \| good	13.038 \| good	36.014 \| good	1.311 \| good	6.431 \| good	0.365 \| good
2026-09-05T19:00:00.000Z	35 \| good	2.648 \| good	9.094 \| good	38.008 \| good	0.828 \| good	4.629 \| good	0.347 \| good
2026-09-05T20:00:00.000Z	32 \| good	2.769 \| good	10.786 \| good	35.029 \| good	0.851 \| good	4.504 \| good	0.36 \| good
2026-09-05T21:00:00.000Z	31 \| good	3.164 \| good	19.888 \| good	34.044 \| good	0.876 \| good	4.213 \| good	0.316 \| good
2026-09-05T22:00:00.000Z	35 \| good	3.577 \| good	21.554 \| good	38.032 \| good	1.185 \| good	3.959 \| good	0.348 \| good
2026-09-05T23:00:00.000Z	38 \| good	2.768 \| good	18.144 \| good	41.033 \| good	1.076 \| good	5.016 \| good	0.391 \| good
2026-09-06T00:00:00.000Z	34 \| good	5.736 \| good	26.657 \| good	37.04 \| good	1.144 \| good	3.881 \| good	0.365 \| good
2026-09-06T01:00:00.000Z	32 \| good	4.362 \| good	19.122 \| good	35.029 \| good	1.042 \| good	1.709 \| good	0.365 \| good
2026-09-06T02:00:00.000Z	30 \| good	4.312 \| good	14.397 \| good	32.027 \| good	0.814 \| good	2.506 \| good	0.409 \| good
2026-09-06T03:00:00.000Z	27 \| good	5.479 \| good	23.227 \| good	22.974 \| good	0.641 \| good	3.296 \| good	0.153 \| good
2026-09-06T04:00:00.000Z	33 \| good	6.443 \| good	19.882 \| good	30.017 \| good	0.863 \| good	5.122 \| good	0.435 \| good
2026-09-06T05:00:00.000Z	33 \| good	6.368 \| good	30.291 \| good	30.005 \| good	0.915 \| good	5.363 \| good	0.403 \| good
2026-09-06T06:00:00.000Z	24 \| good	0.529 \| good	2.097 \| good	26.008 \| good	1.12 \| good	4.113 \| good	0.378 \| good
2026-09-06T07:00:00.000Z	20 \| good	0.533 \| good	2.116 \| good	22.03 \| good	1.061 \| good	3.128 \| good	0.403 \| good
2026-09-06T08:00:00.000Z	19 \| good	1.232 \| good	5.101 \| good	20.027 \| good	0.771 \| good	2.867 \| good	0.39 \| good
2026-09-06T09:00:00.000Z	18 \| good	2.429 \| good	10.077 \| good	19.032 \| good	0.754 \| good	2.28 \| good	0.365 \| good
2026-09-06T10:00:00.000Z	18 \| good	1.733 \| good	7.097 \| good	19.037 \| good	0.753 \| good	2.413 \| good	0.34 \| good
2026-09-06T11:00:00.000Z	15 \| good	1.732 \| good	7.112 \| good	16.049 \| good	1.099 \| good	2.871 \| good	0.34 \| good
2026-09-06T12:00:00.000Z	17 \| good	2.73 \| good	11.075 \| good	18.028 \| good	1.059 \| good	7.628 \| good	0.34 \| good
2026-09-06T13:00:00.000Z	18 \| good	2.63 \| good	11.065 \| good	19.021 \| good	1.059 \| good	7.469 \| good	0.356 \| good
2026-09-06T14:00:00.000Z	16 \| good	1.535 \| good	6.103 \| good	17.047 \| good	0.751 \| good	6.388 \| good	0.34 \| good
2026-09-06T15:00:00.000Z	15 \| good	2.429 \| good	10.079 \| good	16.049 \| good	0.766 \| good	4.682 \| good	0.353 \| good
2026-09-06T16:00:00.000Z	15 \| good	2.428 \| good	10.076 \| good	16.052 \| good	0.828 \| good	4.002 \| good	0.353 \| good
2026-09-06T17:00:00.000Z	16 \| good	2.925 \| good	12.061 \| good	17.049 \| good	0.724 \| good	3.803 \| good	0.384 \| good
2026-09-06T18:00:00.000Z	19 \| good	3.325 \| good	15.034 \| good	20.041 \| good	0.769 \| good	3.23 \| good	0.353 \| good
2026-09-06T19:00:00.000Z	21 \| good	2.327 \| good	10.058 \| good	23.042 \| good	0.945 \| good	2.644 \| good	0.353 \| good
2026-09-06T20:00:00.000Z	25 \| good	2.328 \| good	10.063 \| good	27.028 \| good	0.854 \| good	2.689 \| good	0.353 \| good
2026-09-06T21:00:00.000Z	33 \| good	6.188 \| good	18.455 \| good	30.021 \| good	0.861 \| good	2.483 \| good	0.384 \| good
2026-09-06T22:00:00.000Z	29 \| good	5.303 \| good	25.35 \| good	31.016 \| good	0.552 \| good	4.497 \| good	0.366 \| good
2026-09-06T23:00:00.000Z	33 \| good	6.07 \| good	20.091 \| good	29.021 \| good	1.205 \| good	3.168 \| good	0.379 \| good
2026-09-07T00:00:00.000Z	25 \| good	2.989 \| good	10.824 \| good	27.044 \| good	0.792 \| good	4.872 \| good	0.348 \| good
2026-09-07T01:00:00.000Z	26 \| good	2.904 \| good	15.533 \| good	28.034 \| good	0.787 \| good	5.491 \| good	0.304 \| good
2026-09-07T02:00:00.000Z	28 \| good	2.132 \| good	10.291 \| good	30.02 \| good	1.14 \| good	3.753 \| good	0.316 \| good
2026-09-07T03:00:00.000Z	32 \| good	3.104 \| good	13.369 \| good	35.233 \| good	0.525 \| good	2.402 \| good	0.141 \| good
2026-09-07T04:00:00.000Z	29 \| good	1.601 \| good	8.065 \| good	31.004 \| good	0.943 \| good	5.02 \| good	0.303 \| good
2026-09-07T05:00:00.000Z	28 \| good	1.525 \| good	5.172 \| good	30.015 \| good	0.753 \| good	3.723 \| good	0.291 \| good
2026-09-07T06:00:00.000Z	29 \| good	2.29 \| good	11.372 \| good	30.993 \| good	1.258 \| good	3.639 \| good	0.278 \| good
2026-09-07T07:00:00.000Z	31 \| good	1.911 \| good	9.61 \| good	32.999 \| good	1.039 \| good	3.765 \| good	0.334 \| good
2026-09-07T08:00:00.000Z	30 \| good	1.785 \| good	6.034 \| good	31.987 \| good	1.211 \| good	4.742 \| good	0.303 \| good
2026-09-07T09:00:00.000Z	27 \| good	1.927 \| good	7.078 \| good	28.986 \| good	0.837 \| good	3.876 \| good	0.265 \| good
2026-09-07T10:00:00.000Z	24 \| good	3.071 \| good	16.985 \| good	26.009 \| good	0.835 \| good	3.388 \| good	0.265 \| good
2026-09-07T11:00:00.000Z	24 \| good	4.13 \| good	20.153 \| good	26.004 \| good	1.58 \| good	3.264 \| good	0.265 \| good
2026-09-07T11:00:00.000Z	24 \| good	4.13 \| good	20.153 \| good	26.004 \| good	1.58 \| good	3.264 \| good	0.265 \| good
2026-09-07T12:00:00.000Z	28 \| good	4.865 \| good	21.05 \| good	30.089 \| good	0.411 \| good	2.621 \| good	0.148 \| good
2026-09-07T13:00:00.000Z	27 \| good	5.195 \| good	22.488 \| good	29.438 \| good	0.447 \| good	2.478 \| good	0.148 \| good
2026-09-07T14:00:00.000Z	29 \| good	2.734 \| good	11.162 \| good	30.67 \| good	0.484 \| good	2.175 \| good	0.15 \| good
2026-09-07T15:00:00.000Z	31 \| good	3.29 \| good	14.162 \| good	32.998 \| good	0.517 \| good	1.596 \| good	0.152 \| good
2026-09-07T16:00:00.000Z	31 \| good	2.437 \| good	10.019 \| good	33.006 \| good	0.564 \| good	1.059 \| good	0.155 \| good
2026-09-07T17:00:00.000Z	35 \| good	5.958 \| good	26.042 \| good	37.988 \| good	0.613 \| good	0.822 \| good	0.159 \| good
2026-09-07T18:00:00.000Z	38 \| good	6.914 \| good	30.718 \| good	35.731 \| good	0.663 \| good	0.749 \| good	0.163 \| good
2026-09-07T19:00:00.000Z	34 \| good	2.065 \| good	8.648 \| good	36.637 \| good	0.693 \| good	0.727 \| good	0.166 \| good
2026-09-07T20:00:00.000Z	37 \| good	0.713 \| good	2.683 \| good	40.131 \| good	0.711 \| good	0.731 \| good	0.169 \| good
2026-09-07T21:00:00.000Z	38 \| good	3.16 \| good	13.879 \| good	41.263 \| good	0.742 \| good	0.767 \| good	0.172 \| good
2026-09-07T22:00:00.000Z	36 \| good	3.812 \| good	16.686 \| good	38.894 \| good	0.791 \| good	0.854 \| good	0.174 \| good
2026-09-07T23:00:00.000Z	34 \| good	6.399 \| good	28.639 \| good	37.465 \| good	0.85 \| good	1.084 \| good	0.177 \| good
2026-09-08T00:00:00.000Z	38 \| good	7.094 \| good	31.414 \| good	32.548 \| good	0.851 \| good	1.429 \| good	0.178 \| good
2026-09-08T01:00:00.000Z	34 \| good	4.635 \| good	19.987 \| good	36.574 \| good	0.807 \| good	1.694 \| good	0.176 \| good
2026-09-08T02:00:00.000Z	32 \| good	2.414 \| good	10 \| good	35.083 \| good	0.758 \| good	1.883 \| good	0.173 \| good
2026-09-08T03:00:00.000Z	30 \| good	0.482 \| good	1.953 \| good	31.778 \| good	0.67 \| good	2.218 \| good	0.172 \| good
2026-09-08T04:00:00.000Z	27 \| good	4.677 \| good	20.331 \| good	26.965 \| good	0.66 \| good	2.444 \| good	0.173 \| good
2026-09-08T05:00:00.000Z	31 \| good	0.84 \| good	3.132 \| good	33.977 \| good	0.702 \| good	2.451 \| good	0.173 \| good
2026-09-08T06:00:00.000Z	31 \| good	0.746 \| good	2.846 \| good	33.477 \| good	0.696 \| good	2.422 \| good	0.173 \| good
2026-09-08T07:00:00.000Z	31 \| good	1.873 \| good	7.695 \| good	33.603 \| good	0.634 \| good	2.417 \| good	0.175 \| good
2026-09-08T08:00:00.000Z	26 \| good	1.74 \| good	7.101 \| good	28.181 \| good	0.554 \| good	2.369 \| good	0.179 \| good
2026-09-08T09:00:00.000Z	25 \| good	0.52 \| good	2 \| good	26.817 \| good	0.467 \| good	2.225 \| good	0.183 \| good
2026-09-08T10:00:00.000Z	19 \| good	3.223 \| good	14.022 \| good	20.668 \| good	0.407 \| good	2.134 \| good	0.188 \| good
2026-09-08T11:00:00.000Z	27 \| good	4.551 \| good	19.845 \| good	19.804 \| good	0.368 \| good	2.174 \| good	0.189 \| good
2026-09-08T12:00:00.000Z	25 \| good	2.196 \| good	8.862 \| good	26.729 \| good	0.351 \| good	2.365 \| good	0.19 \| good
2026-09-08T13:00:00.000Z	33 \| good	5.562 \| good	24.282 \| good	24.547 \| good	0.341 \| good	2.568 \| good	0.193 \| good
2026-09-08T14:00:00.000Z	18 \| good	1.087 \| good	4.33 \| good	19.007 \| good	0.328 \| good	2.673 \| good	0.196 \| good
2026-09-08T15:00:00.000Z	19 \| good	1.149 \| good	4.456 \| good	20.941 \| good	0.332 \| good	2.283 \| good	0.197 \| good
2026-09-08T16:00:00.000Z	24 \| good	0.856 \| good	3.357 \| good	25.516 \| good	0.32 \| good	1.526 \| good	0.189 \| good
2026-09-08T17:00:00.000Z	29 \| good	0.167 \| good	0.461 \| good	31.045 \| good	0.265 \| good	0.996 \| good	0.171 \| good
2026-09-08T18:00:00.000Z	33 \| good	1.755 \| good	7.318 \| good	35.808 \| good	0.201 \| good	0.697 \| good	0.15 \| good
2026-09-08T19:00:00.000Z	40 \| good	4.452 \| good	19.623 \| good	43.007 \| good	0.17 \| good	0.602 \| good	0.136 \| good
2026-09-08T20:00:00.000Z	44 \| good	5.309 \| good	22.87 \| good	46.509 \| good	0.139 \| good	0.649 \| good	0.128 \| good
2026-09-08T21:00:00.000Z	45 \| good	6.355 \| good	28.335 \| good	49.222 \| good	0.133 \| good	0.569 \| good	0.123 \| good
2026-09-08T22:00:00.000Z	45 \| good	6.895 \| good	30.451 \| good	48.669 \| good	0.136 \| good	0.554 \| good	0.122 \| good
2026-09-08T23:00:00.000Z	49 \| good	9.144 \| good	40.761 \| good	44.754 \| good	0.138 \| good	0.661 \| good	0.122 \| good
2026-09-09T00:00:00.000Z	64 \| moderate	15.882 \| fine	70.558 \| fine	40.183 \| good	0.132 \| good	1.381 \| good	0.126 \| good
2026-09-09T01:00:00.000Z	62 \| moderate	14.72 \| fine	65.886 \| fine	29.139 \| good	0.131 \| good	2.844 \| good	0.133 \| good
2026-09-09T02:00:00.000Z	60 \| moderate	14.208 \| fine	63.915 \| fine	31.117 \| good	0.141 \| good	3.199 \| good	0.136 \| good
2026-09-09T03:00:00.000Z	64 \| moderate	16.153 \| fine	71.962 \| fine	22.601 \| good	0.145 \| good	2.776 \| good	0.135 \| good
2026-09-09T04:00:00.000Z	62 \| moderate	15.111 \| fine	67.095 \| fine	23.999 \| good	0.151 \| good	2.643 \| good	0.135 \| good
2026-09-09T05:00:00.000Z	60 \| moderate	14.273 \| fine	64.038 \| fine	26.208 \| good	0.156 \| good	2.82 \| good	0.136 \| good
2026-09-09T06:00:00.000Z	62 \| moderate	14.793 \| fine	66.038 \| fine	21.17 \| good	0.159 \| good	3.229 \| good	0.137 \| good
2026-09-09T07:00:00.000Z	62 \| moderate	14.574 \| fine	64.905 \| fine	21.998 \| good	0.163 \| good	3.878 \| good	0.139 \| good
2026-09-09T08:00:00.000Z	58 \| moderate	12.994 \| fine	58.519 \| fine	19.674 \| good	0.172 \| good	4.985 \| good	0.142 \| good
2026-09-09T09:00:00.000Z	56 \| moderate	12.002 \| good	53.833 \| good	16.695 \| good	0.183 \| good	6.523 \| good	0.147 \| good
2026-09-09T10:00:00.000Z	64 \| moderate	15.889 \| fine	71.026 \| fine	11.456 \| good	0.188 \| good	7.029 \| good	0.149 \| good
2026-09-09T11:00:00.000Z	62 \| moderate	14.862 \| fine	66.613 \| fine	10.34 \| good	0.182 \| good	6.535 \| good	0.148 \| good

Vermillion

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Vermillion, South Dakota air quality map: Track AQI near you

0.15ppm

How accurate is South Dakota, USA air quality data?

Air quality data and pollutant measurements for South Dakota, USA adhere to strict US EPA standards. The data is collected from multiple reliable sources, including satellites and ground-based monitoring stations. This data is further analyzed and enhanced using machine learning and advanced algorithms that factor in elements such as traffic and population density, ensuring accurate and reliable results.

Source: Ambee Data Sources

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Frequently asked questions

How often is the air quality data for Vermillion, South Dakota updated?

The air quality for Vermillion, South Dakota is updated every hour.

When was the worst air quality at Vermillion, South Dakota in the last 24 hrs?

The worst air quality in Vermillion, South Dakota in the last 24 hours was observed at 11:00:00 on 2026-09-06.

When was the best air quality at Vermillion, South Dakota in the last 24 hrs?

In the last 24 hrs, the best air quality in Vermillion, South Dakota was observed at 04:00:00 on 2026-09-06.

What is the current air quality in Vermillion, South Dakota?

The current air quality in Vermillion, South Dakota is 24, categorized as Good based on real-time data.

What pollutant is the most common in Vermillion, South Dakota?

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

What should I do if the air quality in Vermillion, South Dakota is poor?

If the air quality in Vermillion, South Dakota is poor, consider staying indoors and wearing a mask to protect yourself.

What is the current concentration of PM_2.5 in Vermillion, South Dakota?

The current PM_2.5 concentration at Vermillion, South Dakota is 4.13 μg/m³.

What is the current concentration of PM₁₀ in Vermillion, South Dakota?

The current PM₁₀ concentration at Vermillion, South Dakota is 20.153 μg/m³.

What is the current concentration of carbon monoxide (CO) in Vermillion, South Dakota?

The current carbon monoxide (CO) concentration at Vermillion, South Dakota is 0.265 ppm.

What is the current concentration of sulfur dioxide (SO₂) in Vermillion, South Dakota?

The current sulfur dioxide (SO₂) concentration at Vermillion, South Dakota is 1.58 ppb.

What is the current concentration of ozone (O₃) in Vermillion, South Dakota?

The current ozone (O₃) concentration at Vermillion, South Dakota is 26.004 ppm.

What is the current concentration of nitrogen dioxide (NO₂) in Vermillion, South Dakota?

The current nitrogen dioxide (NO₂) concentration at Vermillion, South Dakota is 3.264 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-09-05T12:00:00.000Z	22 \| good	4.034 \| good	18.067 \| good	17.026 \| good	1.038 \| good	14.884 \| good	0.365 \| good
2026-09-05T13:00:00.000Z	22 \| good	4.03 \| good	18.05 \| good	19.034 \| good	1.098 \| good	14.502 \| good	0.365 \| good
2026-09-05T14:00:00.000Z	38 \| good	6.72 \| good	20.76 \| good	27.997 \| good	0.783 \| good	13.018 \| good	0.378 \| good
2026-09-05T15:00:00.000Z	28 \| good	0.245 \| good	1.115 \| good	30.006 \| good	0.736 \| good	9.994 \| good	0.391 \| good
2026-09-05T16:00:00.000Z	31 \| good	0.243 \| good	1.103 \| good	33.995 \| good	0.805 \| good	6.297 \| good	0.422 \| good
2026-09-05T17:00:00.000Z	30 \| good	2.091 \| good	17.088 \| good	32.012 \| good	4.537 \| good	7.55 \| good	0.422 \| good
2026-09-05T18:00:00.000Z	33 \| good	2.894 \| good	13.038 \| good	36.014 \| good	1.311 \| good	6.431 \| good	0.365 \| good
2026-09-05T19:00:00.000Z	35 \| good	2.648 \| good	9.094 \| good	38.008 \| good	0.828 \| good	4.629 \| good	0.347 \| good
2026-09-05T20:00:00.000Z	32 \| good	2.769 \| good	10.786 \| good	35.029 \| good	0.851 \| good	4.504 \| good	0.36 \| good
2026-09-05T21:00:00.000Z	31 \| good	3.164 \| good	19.888 \| good	34.044 \| good	0.876 \| good	4.213 \| good	0.316 \| good
2026-09-05T22:00:00.000Z	35 \| good	3.577 \| good	21.554 \| good	38.032 \| good	1.185 \| good	3.959 \| good	0.348 \| good
2026-09-05T23:00:00.000Z	38 \| good	2.768 \| good	18.144 \| good	41.033 \| good	1.076 \| good	5.016 \| good	0.391 \| good
2026-09-06T00:00:00.000Z	34 \| good	5.736 \| good	26.657 \| good	37.04 \| good	1.144 \| good	3.881 \| good	0.365 \| good
2026-09-06T01:00:00.000Z	32 \| good	4.362 \| good	19.122 \| good	35.029 \| good	1.042 \| good	1.709 \| good	0.365 \| good
2026-09-06T02:00:00.000Z	30 \| good	4.312 \| good	14.397 \| good	32.027 \| good	0.814 \| good	2.506 \| good	0.409 \| good
2026-09-06T03:00:00.000Z	27 \| good	5.479 \| good	23.227 \| good	22.974 \| good	0.641 \| good	3.296 \| good	0.153 \| good
2026-09-06T04:00:00.000Z	33 \| good	6.443 \| good	19.882 \| good	30.017 \| good	0.863 \| good	5.122 \| good	0.435 \| good
2026-09-06T05:00:00.000Z	33 \| good	6.368 \| good	30.291 \| good	30.005 \| good	0.915 \| good	5.363 \| good	0.403 \| good
2026-09-06T06:00:00.000Z	24 \| good	0.529 \| good	2.097 \| good	26.008 \| good	1.12 \| good	4.113 \| good	0.378 \| good
2026-09-06T07:00:00.000Z	20 \| good	0.533 \| good	2.116 \| good	22.03 \| good	1.061 \| good	3.128 \| good	0.403 \| good
2026-09-06T08:00:00.000Z	19 \| good	1.232 \| good	5.101 \| good	20.027 \| good	0.771 \| good	2.867 \| good	0.39 \| good
2026-09-06T09:00:00.000Z	18 \| good	2.429 \| good	10.077 \| good	19.032 \| good	0.754 \| good	2.28 \| good	0.365 \| good
2026-09-06T10:00:00.000Z	18 \| good	1.733 \| good	7.097 \| good	19.037 \| good	0.753 \| good	2.413 \| good	0.34 \| good
2026-09-06T11:00:00.000Z	15 \| good	1.732 \| good	7.112 \| good	16.049 \| good	1.099 \| good	2.871 \| good	0.34 \| good
2026-09-06T12:00:00.000Z	17 \| good	2.73 \| good	11.075 \| good	18.028 \| good	1.059 \| good	7.628 \| good	0.34 \| good
2026-09-06T13:00:00.000Z	18 \| good	2.63 \| good	11.065 \| good	19.021 \| good	1.059 \| good	7.469 \| good	0.356 \| good
2026-09-06T14:00:00.000Z	16 \| good	1.535 \| good	6.103 \| good	17.047 \| good	0.751 \| good	6.388 \| good	0.34 \| good
2026-09-06T15:00:00.000Z	15 \| good	2.429 \| good	10.079 \| good	16.049 \| good	0.766 \| good	4.682 \| good	0.353 \| good
2026-09-06T16:00:00.000Z	15 \| good	2.428 \| good	10.076 \| good	16.052 \| good	0.828 \| good	4.002 \| good	0.353 \| good
2026-09-06T17:00:00.000Z	16 \| good	2.925 \| good	12.061 \| good	17.049 \| good	0.724 \| good	3.803 \| good	0.384 \| good
2026-09-06T18:00:00.000Z	19 \| good	3.325 \| good	15.034 \| good	20.041 \| good	0.769 \| good	3.23 \| good	0.353 \| good
2026-09-06T19:00:00.000Z	21 \| good	2.327 \| good	10.058 \| good	23.042 \| good	0.945 \| good	2.644 \| good	0.353 \| good
2026-09-06T20:00:00.000Z	25 \| good	2.328 \| good	10.063 \| good	27.028 \| good	0.854 \| good	2.689 \| good	0.353 \| good
2026-09-06T21:00:00.000Z	33 \| good	6.188 \| good	18.455 \| good	30.021 \| good	0.861 \| good	2.483 \| good	0.384 \| good
2026-09-06T22:00:00.000Z	29 \| good	5.303 \| good	25.35 \| good	31.016 \| good	0.552 \| good	4.497 \| good	0.366 \| good
2026-09-06T23:00:00.000Z	33 \| good	6.07 \| good	20.091 \| good	29.021 \| good	1.205 \| good	3.168 \| good	0.379 \| good
2026-09-07T00:00:00.000Z	25 \| good	2.989 \| good	10.824 \| good	27.044 \| good	0.792 \| good	4.872 \| good	0.348 \| good
2026-09-07T01:00:00.000Z	26 \| good	2.904 \| good	15.533 \| good	28.034 \| good	0.787 \| good	5.491 \| good	0.304 \| good
2026-09-07T02:00:00.000Z	28 \| good	2.132 \| good	10.291 \| good	30.02 \| good	1.14 \| good	3.753 \| good	0.316 \| good
2026-09-07T03:00:00.000Z	32 \| good	3.104 \| good	13.369 \| good	35.233 \| good	0.525 \| good	2.402 \| good	0.141 \| good
2026-09-07T04:00:00.000Z	29 \| good	1.601 \| good	8.065 \| good	31.004 \| good	0.943 \| good	5.02 \| good	0.303 \| good
2026-09-07T05:00:00.000Z	28 \| good	1.525 \| good	5.172 \| good	30.015 \| good	0.753 \| good	3.723 \| good	0.291 \| good
2026-09-07T06:00:00.000Z	29 \| good	2.29 \| good	11.372 \| good	30.993 \| good	1.258 \| good	3.639 \| good	0.278 \| good
2026-09-07T07:00:00.000Z	31 \| good	1.911 \| good	9.61 \| good	32.999 \| good	1.039 \| good	3.765 \| good	0.334 \| good
2026-09-07T08:00:00.000Z	30 \| good	1.785 \| good	6.034 \| good	31.987 \| good	1.211 \| good	4.742 \| good	0.303 \| good
2026-09-07T09:00:00.000Z	27 \| good	1.927 \| good	7.078 \| good	28.986 \| good	0.837 \| good	3.876 \| good	0.265 \| good
2026-09-07T10:00:00.000Z	24 \| good	3.071 \| good	16.985 \| good	26.009 \| good	0.835 \| good	3.388 \| good	0.265 \| good
2026-09-07T11:00:00.000Z	24 \| good	4.13 \| good	20.153 \| good	26.004 \| good	1.58 \| good	3.264 \| good	0.265 \| good
2026-09-07T11:00:00.000Z	24 \| good	4.13 \| good	20.153 \| good	26.004 \| good	1.58 \| good	3.264 \| good	0.265 \| good
2026-09-07T12:00:00.000Z	28 \| good	4.865 \| good	21.05 \| good	30.089 \| good	0.411 \| good	2.621 \| good	0.148 \| good
2026-09-07T13:00:00.000Z	27 \| good	5.195 \| good	22.488 \| good	29.438 \| good	0.447 \| good	2.478 \| good	0.148 \| good
2026-09-07T14:00:00.000Z	29 \| good	2.734 \| good	11.162 \| good	30.67 \| good	0.484 \| good	2.175 \| good	0.15 \| good
2026-09-07T15:00:00.000Z	31 \| good	3.29 \| good	14.162 \| good	32.998 \| good	0.517 \| good	1.596 \| good	0.152 \| good
2026-09-07T16:00:00.000Z	31 \| good	2.437 \| good	10.019 \| good	33.006 \| good	0.564 \| good	1.059 \| good	0.155 \| good
2026-09-07T17:00:00.000Z	35 \| good	5.958 \| good	26.042 \| good	37.988 \| good	0.613 \| good	0.822 \| good	0.159 \| good
2026-09-07T18:00:00.000Z	38 \| good	6.914 \| good	30.718 \| good	35.731 \| good	0.663 \| good	0.749 \| good	0.163 \| good
2026-09-07T19:00:00.000Z	34 \| good	2.065 \| good	8.648 \| good	36.637 \| good	0.693 \| good	0.727 \| good	0.166 \| good
2026-09-07T20:00:00.000Z	37 \| good	0.713 \| good	2.683 \| good	40.131 \| good	0.711 \| good	0.731 \| good	0.169 \| good
2026-09-07T21:00:00.000Z	38 \| good	3.16 \| good	13.879 \| good	41.263 \| good	0.742 \| good	0.767 \| good	0.172 \| good
2026-09-07T22:00:00.000Z	36 \| good	3.812 \| good	16.686 \| good	38.894 \| good	0.791 \| good	0.854 \| good	0.174 \| good
2026-09-07T23:00:00.000Z	34 \| good	6.399 \| good	28.639 \| good	37.465 \| good	0.85 \| good	1.084 \| good	0.177 \| good
2026-09-08T00:00:00.000Z	38 \| good	7.094 \| good	31.414 \| good	32.548 \| good	0.851 \| good	1.429 \| good	0.178 \| good
2026-09-08T01:00:00.000Z	34 \| good	4.635 \| good	19.987 \| good	36.574 \| good	0.807 \| good	1.694 \| good	0.176 \| good
2026-09-08T02:00:00.000Z	32 \| good	2.414 \| good	10 \| good	35.083 \| good	0.758 \| good	1.883 \| good	0.173 \| good
2026-09-08T03:00:00.000Z	30 \| good	0.482 \| good	1.953 \| good	31.778 \| good	0.67 \| good	2.218 \| good	0.172 \| good
2026-09-08T04:00:00.000Z	27 \| good	4.677 \| good	20.331 \| good	26.965 \| good	0.66 \| good	2.444 \| good	0.173 \| good
2026-09-08T05:00:00.000Z	31 \| good	0.84 \| good	3.132 \| good	33.977 \| good	0.702 \| good	2.451 \| good	0.173 \| good
2026-09-08T06:00:00.000Z	31 \| good	0.746 \| good	2.846 \| good	33.477 \| good	0.696 \| good	2.422 \| good	0.173 \| good
2026-09-08T07:00:00.000Z	31 \| good	1.873 \| good	7.695 \| good	33.603 \| good	0.634 \| good	2.417 \| good	0.175 \| good
2026-09-08T08:00:00.000Z	26 \| good	1.74 \| good	7.101 \| good	28.181 \| good	0.554 \| good	2.369 \| good	0.179 \| good
2026-09-08T09:00:00.000Z	25 \| good	0.52 \| good	2 \| good	26.817 \| good	0.467 \| good	2.225 \| good	0.183 \| good
2026-09-08T10:00:00.000Z	19 \| good	3.223 \| good	14.022 \| good	20.668 \| good	0.407 \| good	2.134 \| good	0.188 \| good
2026-09-08T11:00:00.000Z	27 \| good	4.551 \| good	19.845 \| good	19.804 \| good	0.368 \| good	2.174 \| good	0.189 \| good
2026-09-08T12:00:00.000Z	25 \| good	2.196 \| good	8.862 \| good	26.729 \| good	0.351 \| good	2.365 \| good	0.19 \| good
2026-09-08T13:00:00.000Z	33 \| good	5.562 \| good	24.282 \| good	24.547 \| good	0.341 \| good	2.568 \| good	0.193 \| good
2026-09-08T14:00:00.000Z	18 \| good	1.087 \| good	4.33 \| good	19.007 \| good	0.328 \| good	2.673 \| good	0.196 \| good
2026-09-08T15:00:00.000Z	19 \| good	1.149 \| good	4.456 \| good	20.941 \| good	0.332 \| good	2.283 \| good	0.197 \| good
2026-09-08T16:00:00.000Z	24 \| good	0.856 \| good	3.357 \| good	25.516 \| good	0.32 \| good	1.526 \| good	0.189 \| good
2026-09-08T17:00:00.000Z	29 \| good	0.167 \| good	0.461 \| good	31.045 \| good	0.265 \| good	0.996 \| good	0.171 \| good
2026-09-08T18:00:00.000Z	33 \| good	1.755 \| good	7.318 \| good	35.808 \| good	0.201 \| good	0.697 \| good	0.15 \| good
2026-09-08T19:00:00.000Z	40 \| good	4.452 \| good	19.623 \| good	43.007 \| good	0.17 \| good	0.602 \| good	0.136 \| good
2026-09-08T20:00:00.000Z	44 \| good	5.309 \| good	22.87 \| good	46.509 \| good	0.139 \| good	0.649 \| good	0.128 \| good
2026-09-08T21:00:00.000Z	45 \| good	6.355 \| good	28.335 \| good	49.222 \| good	0.133 \| good	0.569 \| good	0.123 \| good
2026-09-08T22:00:00.000Z	45 \| good	6.895 \| good	30.451 \| good	48.669 \| good	0.136 \| good	0.554 \| good	0.122 \| good
2026-09-08T23:00:00.000Z	49 \| good	9.144 \| good	40.761 \| good	44.754 \| good	0.138 \| good	0.661 \| good	0.122 \| good
2026-09-09T00:00:00.000Z	64 \| moderate	15.882 \| fine	70.558 \| fine	40.183 \| good	0.132 \| good	1.381 \| good	0.126 \| good
2026-09-09T01:00:00.000Z	62 \| moderate	14.72 \| fine	65.886 \| fine	29.139 \| good	0.131 \| good	2.844 \| good	0.133 \| good
2026-09-09T02:00:00.000Z	60 \| moderate	14.208 \| fine	63.915 \| fine	31.117 \| good	0.141 \| good	3.199 \| good	0.136 \| good
2026-09-09T03:00:00.000Z	64 \| moderate	16.153 \| fine	71.962 \| fine	22.601 \| good	0.145 \| good	2.776 \| good	0.135 \| good
2026-09-09T04:00:00.000Z	62 \| moderate	15.111 \| fine	67.095 \| fine	23.999 \| good	0.151 \| good	2.643 \| good	0.135 \| good
2026-09-09T05:00:00.000Z	60 \| moderate	14.273 \| fine	64.038 \| fine	26.208 \| good	0.156 \| good	2.82 \| good	0.136 \| good
2026-09-09T06:00:00.000Z	62 \| moderate	14.793 \| fine	66.038 \| fine	21.17 \| good	0.159 \| good	3.229 \| good	0.137 \| good
2026-09-09T07:00:00.000Z	62 \| moderate	14.574 \| fine	64.905 \| fine	21.998 \| good	0.163 \| good	3.878 \| good	0.139 \| good
2026-09-09T08:00:00.000Z	58 \| moderate	12.994 \| fine	58.519 \| fine	19.674 \| good	0.172 \| good	4.985 \| good	0.142 \| good
2026-09-09T09:00:00.000Z	56 \| moderate	12.002 \| good	53.833 \| good	16.695 \| good	0.183 \| good	6.523 \| good	0.147 \| good
2026-09-09T10:00:00.000Z	64 \| moderate	15.889 \| fine	71.026 \| fine	11.456 \| good	0.188 \| good	7.029 \| good	0.149 \| good
2026-09-09T11:00:00.000Z	62 \| moderate	14.862 \| fine	66.613 \| fine	10.34 \| good	0.182 \| good	6.535 \| good	0.148 \| good

Vermillion, South Dakota live air quality index now

Major air pollutants in Vermillion, South Dakota

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

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Vermillion, South Dakota air quality map: Track AQI near you

Air quality in nearby cities

Yankton, South Dakota

Sioux City, Iowa

South Sioux City, Nebraska

Le Mars, Iowa

Sioux Falls, South Dakota

Norfolk, Nebraska

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Frequently asked questions

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What is the current concentration of PM2.5 in Vermillion, South Dakota?

What is the current concentration of PM10 in Vermillion, South Dakota?

What is the current concentration of carbon monoxide (CO) in Vermillion, South Dakota?

What is the current concentration of sulfur dioxide (SO2) in Vermillion, South Dakota?

What is the current concentration of ozone (O3) in Vermillion, South Dakota?

What is the current concentration of nitrogen dioxide (NO2) in Vermillion, South Dakota?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What is the current concentration of PM_2.5 in Vermillion, South Dakota?

What is the current concentration of PM₁₀ in Vermillion, South Dakota?

What is the current concentration of sulfur dioxide (SO₂) in Vermillion, South Dakota?

What is the current concentration of ozone (O₃) in Vermillion, South Dakota?

What is the current concentration of nitrogen dioxide (NO₂) in Vermillion, South Dakota?