What is the sulfur dioxide (SO2) level in Vadnais Heights, Minnesota at the moment?

Currently, Vadnais Heights, Minnesota has a sulfur dioxide (SO2) concentration of 0.534 ppb.

What is the ozone (O3) level in Vadnais Heights, Minnesota at the moment?

The current ozone (O3) level in Vadnais Heights, Minnesota at the moment is 14.188 ppm.

What is the nitrogen dioxide (NO2) level in Vadnais Heights, Minnesota at the moment?

Nitrogen dioxide (NO2) level in Vadnais Heights, Minnesota at the moment is 2.831 ppb.

Live air quality index in Vadnais Heights, Minnesota today

Q: What is the PM2.5 level in Vadnais Heights, Minnesota at the moment?

PM2.5 levels in Vadnais Heights, Minnesota are currently 2.382 μg/m3.

Q: What is the PM10 level in Vadnais Heights, Minnesota at the moment?

The PM10 concentration in Vadnais Heights, Minnesota is 9.224 μg/m3 at the moment.

Stay updated with real-time air quality in Vadnais Heights, Minnesota 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

Vadnais Heights, Minnesota

Last updated: ... (Local time)

Major air pollutants in Vadnais Heights, Minnesota

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

6.64 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

27.63 μg/m³

155

255

425

605+

Ozone (O₃)

2.37 ppb

201

201+

Sulfur Dioxide (SO₂)

1.56 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

14.08 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.67 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Vadnais Heights, Minnesota

Get Live Pollen Counts

Vadnais Heights, Minnesota

Scroll To Air Quality Map

Track live Vadnais Heights, Minnesota air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-22T15:00:00.000Z	19 \| good	0.845 \| good	3.858 \| good	19.839 \| good	0.637 \| good	5.209 \| good	0.218 \| good
2025-10-22T16:00:00.000Z	16 \| good	0.914 \| good	3.865 \| good	16.815 \| good	0.682 \| good	6.024 \| good	0.25 \| good
2025-10-22T17:00:00.000Z	17 \| good	0.838 \| good	3.409 \| good	18.008 \| good	0.683 \| good	5.289 \| good	0.329 \| good
2025-10-22T18:00:00.000Z	16 \| good	0.909 \| good	3.87 \| good	17.49 \| good	0.632 \| good	4.898 \| good	0.231 \| good
2025-10-22T19:00:00.000Z	16 \| good	1.303 \| good	5.999 \| good	17.455 \| good	0.531 \| good	4.565 \| good	0.329 \| good
2025-10-22T20:00:00.000Z	17 \| good	1.359 \| good	5.863 \| good	18.255 \| good	0.582 \| good	5.732 \| good	0.263 \| good
2025-10-22T21:00:00.000Z	18 \| good	1.259 \| good	5.121 \| good	19.031 \| good	0.582 \| good	6.624 \| good	0.25 \| good
2025-10-22T22:00:00.000Z	18 \| good	1.756 \| good	6.937 \| good	19.352 \| good	0.684 \| good	6.277 \| good	0.25 \| good
2025-10-22T23:00:00.000Z	15 \| good	2.136 \| good	8.891 \| good	15.572 \| good	0.682 \| good	7.26 \| good	0.329 \| good
2025-10-23T00:00:00.000Z	19 \| good	2.46 \| good	10.663 \| good	20.983 \| good	0.671 \| good	9.502 \| good	0.32 \| good
2025-10-23T01:00:00.000Z	22 \| good	3.528 \| good	15.228 \| good	17.551 \| good	0.645 \| good	13.237 \| good	0.352 \| good
2025-10-23T02:00:00.000Z	22 \| good	3.758 \| good	15.847 \| good	15.399 \| good	0.645 \| good	12.878 \| good	0.263 \| good
2025-10-23T03:00:00.000Z	33 \| good	5.603 \| good	24.604 \| good	16.196 \| good	0.634 \| good	11.34 \| good	0.263 \| good
2025-10-23T04:00:00.000Z	27 \| good	4.762 \| good	20.5 \| good	16.631 \| good	0.593 \| good	9.202 \| good	0.256 \| good
2025-10-23T05:00:00.000Z	22 \| good	3.655 \| good	15.287 \| good	15.51 \| good	0.646 \| good	8.067 \| good	0.256 \| good
2025-10-23T06:00:00.000Z	16 \| good	3.005 \| good	12.529 \| good	13.329 \| good	0.588 \| good	5.734 \| good	0.231 \| good
2025-10-23T07:00:00.000Z	16 \| good	2.591 \| good	10.738 \| good	14.172 \| good	0.588 \| good	5.738 \| good	0.211 \| good
2025-10-23T08:00:00.000Z	12 \| good	2.433 \| good	9.904 \| good	13.342 \| good	0.527 \| good	5.675 \| good	0.211 \| good
2025-10-23T09:00:00.000Z	13 \| good	2.382 \| good	9.224 \| good	14.188 \| good	0.534 \| good	2.831 \| good	0.199 \| good
2025-10-23T10:00:00.000Z	12 \| good	2.371 \| good	9.299 \| good	13 \| good	0.543 \| good	3.102 \| good	0.162 \| good
2025-10-23T11:00:00.000Z	11 \| good	2.471 \| good	9.602 \| good	11.077 \| good	0.543 \| good	5.955 \| good	0.263 \| good
2025-10-23T12:00:00.000Z	16 \| good	2.66 \| good	10.668 \| good	10.204 \| good	0.492 \| good	11.056 \| good	0.327 \| good
2025-10-23T13:00:00.000Z	16 \| good	3.253 \| good	13.644 \| good	9.827 \| good	0.637 \| good	11.841 \| good	0.349 \| good
2025-10-23T14:00:00.000Z	22 \| good	3.754 \| good	15.689 \| good	8.09 \| good	0.681 \| good	11.188 \| good	0.32 \| good
2025-10-23T15:00:00.000Z	22 \| good	3.696 \| good	15.233 \| good	11.724 \| good	0.578 \| good	13.129 \| good	0.357 \| good
2025-10-23T16:00:00.000Z	16 \| good	3.148 \| good	13.139 \| good	13.728 \| good	0.633 \| good	9.678 \| good	0.288 \| good
2025-10-23T17:00:00.000Z	16 \| good	2.556 \| good	10.41 \| good	16.422 \| good	0.48 \| good	8.09 \| good	0.332 \| good
2025-10-23T18:00:00.000Z	18 \| good	2.34 \| good	9.668 \| good	18.854 \| good	0.497 \| good	7.018 \| good	0.312 \| good
2025-10-23T19:00:00.000Z	20 \| good	2.384 \| good	9.668 \| good	21.706 \| good	0.547 \| good	7.848 \| good	0.347 \| good
2025-10-23T20:00:00.000Z	21 \| good	2.508 \| good	10.107 \| good	23.393 \| good	0.453 \| good	7.652 \| good	0.312 \| good
2025-10-23T21:00:00.000Z	23 \| good	2.637 \| good	10.941 \| good	24.606 \| good	0.586 \| good	8.576 \| good	0.331 \| good
2025-10-23T22:00:00.000Z	21 \| good	2.794 \| good	11.687 \| good	23.034 \| good	0.757 \| good	6.944 \| good	0.312 \| good
2025-10-23T23:00:00.000Z	19 \| good	3.052 \| good	12.96 \| good	19.54 \| good	0.734 \| good	8.802 \| good	0.354 \| good
2025-10-24T00:00:00.000Z	22 \| good	4.417 \| good	19.142 \| good	16.67 \| good	0.782 \| good	12.202 \| good	0.353 \| good
2025-10-24T01:00:00.000Z	33 \| good	5.798 \| good	24.72 \| good	11.568 \| good	0.684 \| good	16.792 \| good	0.383 \| good
2025-10-24T02:00:00.000Z	38 \| good	6.819 \| good	29.51 \| good	10.415 \| good	0.58 \| good	20.565 \| good	0.454 \| good
2025-10-24T03:00:00.000Z	27 \| good	5.263 \| good	23.116 \| good	4.345 \| good	1.575 \| good	23.571 \| good	0.391 \| good
2025-10-24T04:00:00.000Z	44 \| good	8.106 \| good	35.214 \| good	7.365 \| good	0.647 \| good	17.16 \| good	0.505 \| good
2025-10-24T05:00:00.000Z	44 \| good	8.289 \| good	35.643 \| good	3.879 \| good	0.802 \| good	15.225 \| good	0.651 \| good
2025-10-24T06:00:00.000Z	44 \| good	8.132 \| good	34.371 \| good	4.086 \| good	0.976 \| good	16.917 \| good	0.72 \| good
2025-10-24T07:00:00.000Z	44 \| good	8.249 \| good	34.895 \| good	4.384 \| good	1.106 \| good	17.746 \| good	0.721 \| good
2025-10-24T08:00:00.000Z	38 \| good	7.26 \| good	30.129 \| good	4.064 \| good	0.697 \| good	15.803 \| good	0.721 \| good
2025-10-24T09:00:00.000Z	38 \| good	7.019 \| good	29.89 \| good	4.531 \| good	0.966 \| good	14.47 \| good	0.542 \| good
2025-10-24T10:00:00.000Z	38 \| good	7.035 \| good	29.84 \| good	3.989 \| good	1.23 \| good	15.639 \| good	0.698 \| good
2025-10-24T11:00:00.000Z	38 \| good	6.584 \| good	27.4 \| good	2.814 \| good	1.503 \| good	15.518 \| good	0.655 \| good
2025-10-24T12:00:00.000Z	38 \| good	6.642 \| good	27.629 \| good	3.307 \| good	1.862 \| good	16.255 \| good	0.682 \| good
2025-10-24T13:00:00.000Z	38 \| good	6.642 \| good	27.629 \| good	2.369 \| good	1.563 \| good	14.081 \| good	0.669 \| good
2025-10-24T14:00:00.000Z	38 \| good	6.642 \| good	27.629 \| good	2.369 \| good	1.563 \| good	14.081 \| good	0.669 \| good
2025-10-23T11:00:00.000Z	11 \| good	1.948 \| good	7.804 \| good	3.878 \| good	0.452 \| good	4.033 \| good	0.146 \| good
2025-10-23T12:00:00.000Z	11 \| good	1.911 \| good	8.076 \| good	1.478 \| good	0.468 \| good	4.115 \| good	0.146 \| good
2025-10-23T13:00:00.000Z	16 \| good	2.898 \| good	12.02 \| good	0.828 \| good	0.525 \| good	4.486 \| good	0.159 \| good
2025-10-23T14:00:00.000Z	9 \| good	0.959 \| good	3.663 \| good	9.67 \| good	0.582 \| good	4.856 \| good	0.171 \| good
2025-10-23T15:00:00.000Z	14 \| good	0.44 \| good	1.472 \| good	15.434 \| good	0.639 \| good	5.227 \| good	0.184 \| good
2025-10-23T16:00:00.000Z	17 \| good	0.481 \| good	2.055 \| good	18.058 \| good	0.589 \| good	3.971 \| good	0.167 \| good
2025-10-23T17:00:00.000Z	18 \| good	0.621 \| good	2.282 \| good	19.193 \| good	0.538 \| good	2.715 \| good	0.15 \| good
2025-10-23T18:00:00.000Z	17 \| good	0.814 \| good	3.146 \| good	18.271 \| good	0.487 \| good	1.46 \| good	0.133 \| good
2025-10-23T19:00:00.000Z	16 \| good	0.515 \| good	2 \| good	17.14 \| good	0.497 \| good	1.488 \| good	0.132 \| good
2025-10-23T20:00:00.000Z	16 \| good	0.924 \| good	3.782 \| good	16.695 \| good	0.506 \| good	1.516 \| good	0.131 \| good
2025-10-23T21:00:00.000Z	16 \| good	1.38 \| good	5.381 \| good	17.168 \| good	0.515 \| good	1.544 \| good	0.13 \| good
2025-10-23T22:00:00.000Z	16 \| good	2.501 \| good	10.047 \| good	16.533 \| good	0.573 \| good	5.455 \| good	0.16 \| good
2025-10-23T23:00:00.000Z	22 \| good	3.837 \| good	16.336 \| good	13.785 \| good	0.631 \| good	9.367 \| good	0.189 \| good
2025-10-24T00:00:00.000Z	27 \| good	4.594 \| good	20.219 \| good	11.383 \| good	0.689 \| good	13.279 \| good	0.218 \| good
2025-10-24T01:00:00.000Z	33 \| good	6.381 \| good	28.113 \| good	6.192 \| good	0.835 \| good	16.043 \| good	0.24 \| good
2025-10-24T02:00:00.000Z	27 \| good	4.985 \| good	21.576 \| good	7.005 \| good	0.981 \| good	18.806 \| good	0.262 \| good
2025-10-24T03:00:00.000Z	22 \| good	3.961 \| good	17.106 \| good	8.886 \| good	1.126 \| good	21.57 \| good	0.283 \| good
2025-10-24T04:00:00.000Z	22 \| good	3.924 \| good	17.344 \| good	8.897 \| good	1.14 \| good	21.734 \| good	0.293 \| good
2025-10-24T05:00:00.000Z	27 \| good	5.182 \| good	22.434 \| good	6.25 \| good	1.154 \| good	21.899 \| good	0.302 \| good
2025-10-24T06:00:00.000Z	27 \| good	4.711 \| good	20.543 \| good	4.444 \| good	1.168 \| good	22.063 \| good	0.311 \| good
2025-10-24T07:00:00.000Z	33 \| good	5.576 \| good	24.385 \| good	3.358 \| good	1.15 \| good	21.626 \| good	0.306 \| good
2025-10-24T08:00:00.000Z	20 \| good	3.165 \| good	12.999 \| good	3.476 \| good	1.132 \| good	21.188 \| good	0.3 \| good
2025-10-24T09:00:00.000Z	20 \| good	3.349 \| good	14.761 \| good	2.952 \| good	1.114 \| good	20.751 \| good	0.294 \| good
2025-10-24T10:00:00.000Z	22 \| good	4.006 \| good	17.465 \| good	1.683 \| good	1.162 \| good	20.757 \| good	0.294 \| good
2025-10-24T11:00:00.000Z	22 \| good	3.787 \| good	16.228 \| good	1.235 \| good	1.211 \| good	20.763 \| good	0.294 \| good
2025-10-24T12:00:00.000Z	22 \| good	3.971 \| good	17.107 \| good	1.075 \| good	1.259 \| good	20.769 \| good	0.294 \| good
2025-10-24T13:00:00.000Z	22 \| good	4.477 \| good	19.633 \| good	0.445 \| good	1.246 \| good	18.544 \| good	0.325 \| good
2025-10-24T14:00:00.000Z	16 \| good	3.132 \| good	13.743 \| good	4.409 \| good	1.233 \| good	16.319 \| good	0.357 \| good
2025-10-24T15:00:00.000Z	13 \| good	1.946 \| good	7.995 \| good	9.989 \| good	1.22 \| good	14.095 \| good	0.388 \| good
2025-10-24T16:00:00.000Z	16 \| good	1.801 \| good	7.315 \| good	16.591 \| good	1.315 \| good	10.949 \| good	0.313 \| good
2025-10-24T17:00:00.000Z	20 \| good	2.17 \| good	9.104 \| good	21.669 \| good	1.41 \| good	7.803 \| good	0.237 \| good
2025-10-24T18:00:00.000Z	22 \| good	3.949 \| good	17.577 \| good	23.571 \| good	1.505 \| good	4.657 \| good	0.162 \| good
2025-10-24T19:00:00.000Z	27 \| good	5.414 \| good	23.471 \| good	24.208 \| good	1.401 \| good	4.383 \| good	0.159 \| good
2025-10-24T20:00:00.000Z	27 \| good	4.917 \| good	21.066 \| good	26.579 \| good	1.297 \| good	4.108 \| good	0.156 \| good
2025-10-24T21:00:00.000Z	23 \| good	3.612 \| good	15.811 \| good	25.035 \| good	1.193 \| good	3.833 \| good	0.154 \| good
2025-10-24T22:00:00.000Z	33 \| good	5.886 \| good	26.323 \| good	19.779 \| good	1.159 \| good	7.947 \| good	0.184 \| good
2025-10-24T23:00:00.000Z	38 \| good	6.86 \| good	30.546 \| good	16.896 \| good	1.124 \| good	12.061 \| good	0.214 \| good
2025-10-25T00:00:00.000Z	33 \| good	6.49 \| good	28.716 \| good	16.646 \| good	1.09 \| good	16.175 \| good	0.245 \| good
2025-10-25T01:00:00.000Z	44 \| good	7.552 \| good	33.246 \| good	14.17 \| good	0.959 \| good	13.596 \| good	0.225 \| good
2025-10-25T02:00:00.000Z	44 \| good	7.944 \| good	34.861 \| good	12.214 \| good	0.828 \| good	11.017 \| good	0.205 \| good
2025-10-25T03:00:00.000Z	44 \| good	8.095 \| good	35.837 \| good	10.174 \| good	0.697 \| good	8.438 \| good	0.186 \| good
2025-10-25T04:00:00.000Z	44 \| good	8.003 \| good	35.133 \| good	10.139 \| good	0.636 \| good	7.483 \| good	0.179 \| good
2025-10-25T05:00:00.000Z	38 \| good	7.254 \| good	32.15 \| good	12.523 \| good	0.575 \| good	6.527 \| good	0.173 \| good
2025-10-25T06:00:00.000Z	38 \| good	7.437 \| good	7.486 \| good	25.465 \| good	0.511 \| good	5.525 \| good	0.166 \| good
2025-10-25T07:00:00.000Z	33 \| good	6.03 \| good	27.086 \| good	15.637 \| good	0.513 \| good	4.923 \| good	0.161 \| good
2025-10-25T08:00:00.000Z	33 \| good	6.285 \| good	28.167 \| good	16.391 \| good	0.513 \| good	4.273 \| good	0.156 \| good
2025-10-25T09:00:00.000Z	33 \| good	5.799 \| good	25.591 \| good	17.408 \| good	0.512 \| good	3.624 \| good	0.152 \| good
2025-10-25T10:00:00.000Z	33 \| good	5.834 \| good	25.634 \| good	18.466 \| good	0.537 \| good	3.656 \| good	0.151 \| good

Vadnais Heights

Get reliable air quality data to drive your business

Vadnais Heights, Minnesota air quality map: Stay updated on AQI near you

0.19ppm

How accurate is Minnesota, USA air quality data?

Air quality and pollutant data for Minnesota, 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 Vadnais Heights, Minnesota?

The air quality information for Vadnais Heights, Minnesota is updated every hour for accuracy.

What time in the last 24 hours was the air quality in Vadnais Heights, Minnesota at its worst?

In the past 24 hours, the air quality in Vadnais Heights, Minnesota was at its worst at 03:00:00 on 2025-10-23.

When did Vadnais Heights, Minnesota experience the best air quality in the last 24 hours?

In the last 24 hours, the best air quality in Vadnais Heights, Minnesota was observed at 08:00:00 on 2025-10-23.

What is the AQI in Vadnais Heights, Minnesota right now?

As of now, the AQI in Vadnais Heights, Minnesota is 13, indicating Good conditions.

What is the most common type of pollution in Vadnais Heights, Minnesota?

Vadnais Heights, Minnesota air has the highest levels of O3.

What should I do in case of poor air quality in Vadnais Heights, Minnesota?

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

What is the PM_2.5 level in Vadnais Heights, Minnesota at the moment?

PM_2.5 levels in Vadnais Heights, Minnesota are currently 2.382 μg/m³.

What is the PM₁₀ level in Vadnais Heights, Minnesota at the moment?

The PM₁₀ concentration in Vadnais Heights, Minnesota is 9.224 μg/m³ at the moment.

What is the carbon monoxide (CO) level in Vadnais Heights, Minnesota at the moment?

The current carbon monoxide (CO) concentration in Vadnais Heights, Minnesota is 0.199 ppm.

What is the sulfur dioxide (SO₂) level in Vadnais Heights, Minnesota at the moment?

Currently, Vadnais Heights, Minnesota has a sulfur dioxide (SO₂) concentration of 0.534 ppb.

What is the ozone (O₃) level in Vadnais Heights, Minnesota at the moment?

The current ozone (O₃) level in Vadnais Heights, Minnesota at the moment is 14.188 ppm.

What is the nitrogen dioxide (NO₂) level in Vadnais Heights, Minnesota at the moment?

Nitrogen dioxide (NO₂) level in Vadnais Heights, Minnesota at the moment is 2.831 ppb.

Certified

APIs

Refund Policy

Historical Climate Data

Terms & Conditions

Refund Policy

Terms & Conditions

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-22T15:00:00.000Z	19 \| good	0.845 \| good	3.858 \| good	19.839 \| good	0.637 \| good	5.209 \| good	0.218 \| good
2025-10-22T16:00:00.000Z	16 \| good	0.914 \| good	3.865 \| good	16.815 \| good	0.682 \| good	6.024 \| good	0.25 \| good
2025-10-22T17:00:00.000Z	17 \| good	0.838 \| good	3.409 \| good	18.008 \| good	0.683 \| good	5.289 \| good	0.329 \| good
2025-10-22T18:00:00.000Z	16 \| good	0.909 \| good	3.87 \| good	17.49 \| good	0.632 \| good	4.898 \| good	0.231 \| good
2025-10-22T19:00:00.000Z	16 \| good	1.303 \| good	5.999 \| good	17.455 \| good	0.531 \| good	4.565 \| good	0.329 \| good
2025-10-22T20:00:00.000Z	17 \| good	1.359 \| good	5.863 \| good	18.255 \| good	0.582 \| good	5.732 \| good	0.263 \| good
2025-10-22T21:00:00.000Z	18 \| good	1.259 \| good	5.121 \| good	19.031 \| good	0.582 \| good	6.624 \| good	0.25 \| good
2025-10-22T22:00:00.000Z	18 \| good	1.756 \| good	6.937 \| good	19.352 \| good	0.684 \| good	6.277 \| good	0.25 \| good
2025-10-22T23:00:00.000Z	15 \| good	2.136 \| good	8.891 \| good	15.572 \| good	0.682 \| good	7.26 \| good	0.329 \| good
2025-10-23T00:00:00.000Z	19 \| good	2.46 \| good	10.663 \| good	20.983 \| good	0.671 \| good	9.502 \| good	0.32 \| good
2025-10-23T01:00:00.000Z	22 \| good	3.528 \| good	15.228 \| good	17.551 \| good	0.645 \| good	13.237 \| good	0.352 \| good
2025-10-23T02:00:00.000Z	22 \| good	3.758 \| good	15.847 \| good	15.399 \| good	0.645 \| good	12.878 \| good	0.263 \| good
2025-10-23T03:00:00.000Z	33 \| good	5.603 \| good	24.604 \| good	16.196 \| good	0.634 \| good	11.34 \| good	0.263 \| good
2025-10-23T04:00:00.000Z	27 \| good	4.762 \| good	20.5 \| good	16.631 \| good	0.593 \| good	9.202 \| good	0.256 \| good
2025-10-23T05:00:00.000Z	22 \| good	3.655 \| good	15.287 \| good	15.51 \| good	0.646 \| good	8.067 \| good	0.256 \| good
2025-10-23T06:00:00.000Z	16 \| good	3.005 \| good	12.529 \| good	13.329 \| good	0.588 \| good	5.734 \| good	0.231 \| good
2025-10-23T07:00:00.000Z	16 \| good	2.591 \| good	10.738 \| good	14.172 \| good	0.588 \| good	5.738 \| good	0.211 \| good
2025-10-23T08:00:00.000Z	12 \| good	2.433 \| good	9.904 \| good	13.342 \| good	0.527 \| good	5.675 \| good	0.211 \| good
2025-10-23T09:00:00.000Z	13 \| good	2.382 \| good	9.224 \| good	14.188 \| good	0.534 \| good	2.831 \| good	0.199 \| good
2025-10-23T10:00:00.000Z	12 \| good	2.371 \| good	9.299 \| good	13 \| good	0.543 \| good	3.102 \| good	0.162 \| good
2025-10-23T11:00:00.000Z	11 \| good	2.471 \| good	9.602 \| good	11.077 \| good	0.543 \| good	5.955 \| good	0.263 \| good
2025-10-23T12:00:00.000Z	16 \| good	2.66 \| good	10.668 \| good	10.204 \| good	0.492 \| good	11.056 \| good	0.327 \| good
2025-10-23T13:00:00.000Z	16 \| good	3.253 \| good	13.644 \| good	9.827 \| good	0.637 \| good	11.841 \| good	0.349 \| good
2025-10-23T14:00:00.000Z	22 \| good	3.754 \| good	15.689 \| good	8.09 \| good	0.681 \| good	11.188 \| good	0.32 \| good
2025-10-23T15:00:00.000Z	22 \| good	3.696 \| good	15.233 \| good	11.724 \| good	0.578 \| good	13.129 \| good	0.357 \| good
2025-10-23T16:00:00.000Z	16 \| good	3.148 \| good	13.139 \| good	13.728 \| good	0.633 \| good	9.678 \| good	0.288 \| good
2025-10-23T17:00:00.000Z	16 \| good	2.556 \| good	10.41 \| good	16.422 \| good	0.48 \| good	8.09 \| good	0.332 \| good
2025-10-23T18:00:00.000Z	18 \| good	2.34 \| good	9.668 \| good	18.854 \| good	0.497 \| good	7.018 \| good	0.312 \| good
2025-10-23T19:00:00.000Z	20 \| good	2.384 \| good	9.668 \| good	21.706 \| good	0.547 \| good	7.848 \| good	0.347 \| good
2025-10-23T20:00:00.000Z	21 \| good	2.508 \| good	10.107 \| good	23.393 \| good	0.453 \| good	7.652 \| good	0.312 \| good
2025-10-23T21:00:00.000Z	23 \| good	2.637 \| good	10.941 \| good	24.606 \| good	0.586 \| good	8.576 \| good	0.331 \| good
2025-10-23T22:00:00.000Z	21 \| good	2.794 \| good	11.687 \| good	23.034 \| good	0.757 \| good	6.944 \| good	0.312 \| good
2025-10-23T23:00:00.000Z	19 \| good	3.052 \| good	12.96 \| good	19.54 \| good	0.734 \| good	8.802 \| good	0.354 \| good
2025-10-24T00:00:00.000Z	22 \| good	4.417 \| good	19.142 \| good	16.67 \| good	0.782 \| good	12.202 \| good	0.353 \| good
2025-10-24T01:00:00.000Z	33 \| good	5.798 \| good	24.72 \| good	11.568 \| good	0.684 \| good	16.792 \| good	0.383 \| good
2025-10-24T02:00:00.000Z	38 \| good	6.819 \| good	29.51 \| good	10.415 \| good	0.58 \| good	20.565 \| good	0.454 \| good
2025-10-24T03:00:00.000Z	27 \| good	5.263 \| good	23.116 \| good	4.345 \| good	1.575 \| good	23.571 \| good	0.391 \| good
2025-10-24T04:00:00.000Z	44 \| good	8.106 \| good	35.214 \| good	7.365 \| good	0.647 \| good	17.16 \| good	0.505 \| good
2025-10-24T05:00:00.000Z	44 \| good	8.289 \| good	35.643 \| good	3.879 \| good	0.802 \| good	15.225 \| good	0.651 \| good
2025-10-24T06:00:00.000Z	44 \| good	8.132 \| good	34.371 \| good	4.086 \| good	0.976 \| good	16.917 \| good	0.72 \| good
2025-10-24T07:00:00.000Z	44 \| good	8.249 \| good	34.895 \| good	4.384 \| good	1.106 \| good	17.746 \| good	0.721 \| good
2025-10-24T08:00:00.000Z	38 \| good	7.26 \| good	30.129 \| good	4.064 \| good	0.697 \| good	15.803 \| good	0.721 \| good
2025-10-24T09:00:00.000Z	38 \| good	7.019 \| good	29.89 \| good	4.531 \| good	0.966 \| good	14.47 \| good	0.542 \| good
2025-10-24T10:00:00.000Z	38 \| good	7.035 \| good	29.84 \| good	3.989 \| good	1.23 \| good	15.639 \| good	0.698 \| good
2025-10-24T11:00:00.000Z	38 \| good	6.584 \| good	27.4 \| good	2.814 \| good	1.503 \| good	15.518 \| good	0.655 \| good
2025-10-24T12:00:00.000Z	38 \| good	6.642 \| good	27.629 \| good	3.307 \| good	1.862 \| good	16.255 \| good	0.682 \| good
2025-10-24T13:00:00.000Z	38 \| good	6.642 \| good	27.629 \| good	2.369 \| good	1.563 \| good	14.081 \| good	0.669 \| good
2025-10-24T14:00:00.000Z	38 \| good	6.642 \| good	27.629 \| good	2.369 \| good	1.563 \| good	14.081 \| good	0.669 \| good
2025-10-23T11:00:00.000Z	11 \| good	1.948 \| good	7.804 \| good	3.878 \| good	0.452 \| good	4.033 \| good	0.146 \| good
2025-10-23T12:00:00.000Z	11 \| good	1.911 \| good	8.076 \| good	1.478 \| good	0.468 \| good	4.115 \| good	0.146 \| good
2025-10-23T13:00:00.000Z	16 \| good	2.898 \| good	12.02 \| good	0.828 \| good	0.525 \| good	4.486 \| good	0.159 \| good
2025-10-23T14:00:00.000Z	9 \| good	0.959 \| good	3.663 \| good	9.67 \| good	0.582 \| good	4.856 \| good	0.171 \| good
2025-10-23T15:00:00.000Z	14 \| good	0.44 \| good	1.472 \| good	15.434 \| good	0.639 \| good	5.227 \| good	0.184 \| good
2025-10-23T16:00:00.000Z	17 \| good	0.481 \| good	2.055 \| good	18.058 \| good	0.589 \| good	3.971 \| good	0.167 \| good
2025-10-23T17:00:00.000Z	18 \| good	0.621 \| good	2.282 \| good	19.193 \| good	0.538 \| good	2.715 \| good	0.15 \| good
2025-10-23T18:00:00.000Z	17 \| good	0.814 \| good	3.146 \| good	18.271 \| good	0.487 \| good	1.46 \| good	0.133 \| good
2025-10-23T19:00:00.000Z	16 \| good	0.515 \| good	2 \| good	17.14 \| good	0.497 \| good	1.488 \| good	0.132 \| good
2025-10-23T20:00:00.000Z	16 \| good	0.924 \| good	3.782 \| good	16.695 \| good	0.506 \| good	1.516 \| good	0.131 \| good
2025-10-23T21:00:00.000Z	16 \| good	1.38 \| good	5.381 \| good	17.168 \| good	0.515 \| good	1.544 \| good	0.13 \| good
2025-10-23T22:00:00.000Z	16 \| good	2.501 \| good	10.047 \| good	16.533 \| good	0.573 \| good	5.455 \| good	0.16 \| good
2025-10-23T23:00:00.000Z	22 \| good	3.837 \| good	16.336 \| good	13.785 \| good	0.631 \| good	9.367 \| good	0.189 \| good
2025-10-24T00:00:00.000Z	27 \| good	4.594 \| good	20.219 \| good	11.383 \| good	0.689 \| good	13.279 \| good	0.218 \| good
2025-10-24T01:00:00.000Z	33 \| good	6.381 \| good	28.113 \| good	6.192 \| good	0.835 \| good	16.043 \| good	0.24 \| good
2025-10-24T02:00:00.000Z	27 \| good	4.985 \| good	21.576 \| good	7.005 \| good	0.981 \| good	18.806 \| good	0.262 \| good
2025-10-24T03:00:00.000Z	22 \| good	3.961 \| good	17.106 \| good	8.886 \| good	1.126 \| good	21.57 \| good	0.283 \| good
2025-10-24T04:00:00.000Z	22 \| good	3.924 \| good	17.344 \| good	8.897 \| good	1.14 \| good	21.734 \| good	0.293 \| good
2025-10-24T05:00:00.000Z	27 \| good	5.182 \| good	22.434 \| good	6.25 \| good	1.154 \| good	21.899 \| good	0.302 \| good
2025-10-24T06:00:00.000Z	27 \| good	4.711 \| good	20.543 \| good	4.444 \| good	1.168 \| good	22.063 \| good	0.311 \| good
2025-10-24T07:00:00.000Z	33 \| good	5.576 \| good	24.385 \| good	3.358 \| good	1.15 \| good	21.626 \| good	0.306 \| good
2025-10-24T08:00:00.000Z	20 \| good	3.165 \| good	12.999 \| good	3.476 \| good	1.132 \| good	21.188 \| good	0.3 \| good
2025-10-24T09:00:00.000Z	20 \| good	3.349 \| good	14.761 \| good	2.952 \| good	1.114 \| good	20.751 \| good	0.294 \| good
2025-10-24T10:00:00.000Z	22 \| good	4.006 \| good	17.465 \| good	1.683 \| good	1.162 \| good	20.757 \| good	0.294 \| good
2025-10-24T11:00:00.000Z	22 \| good	3.787 \| good	16.228 \| good	1.235 \| good	1.211 \| good	20.763 \| good	0.294 \| good
2025-10-24T12:00:00.000Z	22 \| good	3.971 \| good	17.107 \| good	1.075 \| good	1.259 \| good	20.769 \| good	0.294 \| good
2025-10-24T13:00:00.000Z	22 \| good	4.477 \| good	19.633 \| good	0.445 \| good	1.246 \| good	18.544 \| good	0.325 \| good
2025-10-24T14:00:00.000Z	16 \| good	3.132 \| good	13.743 \| good	4.409 \| good	1.233 \| good	16.319 \| good	0.357 \| good
2025-10-24T15:00:00.000Z	13 \| good	1.946 \| good	7.995 \| good	9.989 \| good	1.22 \| good	14.095 \| good	0.388 \| good
2025-10-24T16:00:00.000Z	16 \| good	1.801 \| good	7.315 \| good	16.591 \| good	1.315 \| good	10.949 \| good	0.313 \| good
2025-10-24T17:00:00.000Z	20 \| good	2.17 \| good	9.104 \| good	21.669 \| good	1.41 \| good	7.803 \| good	0.237 \| good
2025-10-24T18:00:00.000Z	22 \| good	3.949 \| good	17.577 \| good	23.571 \| good	1.505 \| good	4.657 \| good	0.162 \| good
2025-10-24T19:00:00.000Z	27 \| good	5.414 \| good	23.471 \| good	24.208 \| good	1.401 \| good	4.383 \| good	0.159 \| good
2025-10-24T20:00:00.000Z	27 \| good	4.917 \| good	21.066 \| good	26.579 \| good	1.297 \| good	4.108 \| good	0.156 \| good
2025-10-24T21:00:00.000Z	23 \| good	3.612 \| good	15.811 \| good	25.035 \| good	1.193 \| good	3.833 \| good	0.154 \| good
2025-10-24T22:00:00.000Z	33 \| good	5.886 \| good	26.323 \| good	19.779 \| good	1.159 \| good	7.947 \| good	0.184 \| good
2025-10-24T23:00:00.000Z	38 \| good	6.86 \| good	30.546 \| good	16.896 \| good	1.124 \| good	12.061 \| good	0.214 \| good
2025-10-25T00:00:00.000Z	33 \| good	6.49 \| good	28.716 \| good	16.646 \| good	1.09 \| good	16.175 \| good	0.245 \| good
2025-10-25T01:00:00.000Z	44 \| good	7.552 \| good	33.246 \| good	14.17 \| good	0.959 \| good	13.596 \| good	0.225 \| good
2025-10-25T02:00:00.000Z	44 \| good	7.944 \| good	34.861 \| good	12.214 \| good	0.828 \| good	11.017 \| good	0.205 \| good
2025-10-25T03:00:00.000Z	44 \| good	8.095 \| good	35.837 \| good	10.174 \| good	0.697 \| good	8.438 \| good	0.186 \| good
2025-10-25T04:00:00.000Z	44 \| good	8.003 \| good	35.133 \| good	10.139 \| good	0.636 \| good	7.483 \| good	0.179 \| good
2025-10-25T05:00:00.000Z	38 \| good	7.254 \| good	32.15 \| good	12.523 \| good	0.575 \| good	6.527 \| good	0.173 \| good
2025-10-25T06:00:00.000Z	38 \| good	7.437 \| good	7.486 \| good	25.465 \| good	0.511 \| good	5.525 \| good	0.166 \| good
2025-10-25T07:00:00.000Z	33 \| good	6.03 \| good	27.086 \| good	15.637 \| good	0.513 \| good	4.923 \| good	0.161 \| good
2025-10-25T08:00:00.000Z	33 \| good	6.285 \| good	28.167 \| good	16.391 \| good	0.513 \| good	4.273 \| good	0.156 \| good
2025-10-25T09:00:00.000Z	33 \| good	5.799 \| good	25.591 \| good	17.408 \| good	0.512 \| good	3.624 \| good	0.152 \| good
2025-10-25T10:00:00.000Z	33 \| good	5.834 \| good	25.634 \| good	18.466 \| good	0.537 \| good	3.656 \| good	0.151 \| good

Live air quality index in Vadnais Heights, Minnesota today

Major air pollutants in Vadnais Heights, Minnesota

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Vadnais Heights, Minnesota air quality forecast and history

Get reliable air quality data to drive your business

Vadnais Heights, Minnesota air quality map: Stay updated on AQI near you

Air quality in nearby cities

Little Canada, Minnesota

White Bear Lake, Minnesota

Shoreview, Minnesota

North St. Paul, Minnesota

Roseville, Minnesota

New Brighton, Minnesota

How accurate is Minnesota, USA air quality data?

Air quality levels in US

Frequently asked questions

How often is air quality information updated for Vadnais Heights, Minnesota?

What time in the last 24 hours was the air quality in Vadnais Heights, Minnesota at its worst?

When did Vadnais Heights, Minnesota experience the best air quality in the last 24 hours?

What is the AQI in Vadnais Heights, Minnesota right now?

What is the most common type of pollution in Vadnais Heights, Minnesota?

What should I do in case of poor air quality in Vadnais Heights, Minnesota?

What is the PM2.5 level in Vadnais Heights, Minnesota at the moment?

What is the PM10 level in Vadnais Heights, Minnesota at the moment?

What is the carbon monoxide (CO) level in Vadnais Heights, Minnesota at the moment?

What is the sulfur dioxide (SO2) level in Vadnais Heights, Minnesota at the moment?

What is the ozone (O3) level in Vadnais Heights, Minnesota at the moment?

What is the nitrogen dioxide (NO2) level in Vadnais Heights, Minnesota at the moment?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What is the PM_2.5 level in Vadnais Heights, Minnesota at the moment?

What is the PM₁₀ level in Vadnais Heights, Minnesota at the moment?

What is the sulfur dioxide (SO₂) level in Vadnais Heights, Minnesota at the moment?

What is the ozone (O₃) level in Vadnais Heights, Minnesota at the moment?

What is the nitrogen dioxide (NO₂) level in Vadnais Heights, Minnesota at the moment?