What is the PM10 level in Brown Deer, Wisconsin at the moment?

The PM10 concentration in Brown Deer, Wisconsin is 26.982 μg/m3 at the moment.

What is the sulfur dioxide (SO2) level in Brown Deer, Wisconsin at the moment?

Currently, Brown Deer, Wisconsin has a sulfur dioxide (SO2) concentration of 0.406 ppb.

What is the ozone (O3) level in Brown Deer, Wisconsin at the moment?

The current ozone (O3) level in Brown Deer, Wisconsin at the moment is 38.595 ppm.

What is the nitrogen dioxide (NO2) level in Brown Deer, Wisconsin at the moment?

Nitrogen dioxide (NO2) level in Brown Deer, Wisconsin at the moment is 9.373 ppb.

Live air quality index in Brown Deer, Wisconsin today

Q: What is the PM2.5 level in Brown Deer, Wisconsin at the moment?

PM2.5 levels in Brown Deer, Wisconsin are currently 8.343 μg/m3.

Stay updated with real-time air quality in Brown Deer, Wisconsin 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

Brown Deer, Wisconsin

Last updated: ... (Local time)

Major air pollutants in Brown Deer, Wisconsin

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

8.34 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

26.98 μg/m³

155

255

425

605+

Ozone (O₃)

38.59 ppb

201

201+

Sulfur Dioxide (SO₂)

0.41 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

9.37 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.43 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Looks like we don't have this data available right now

Please contact us for custom requests

Brown Deer, Wisconsin

Scroll To Air Quality Map

Track live Brown Deer, Wisconsin air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-03-08T01:00:00.000Z	16 \| good	3.144 \| good	9.839 \| good	16.367 \| good	0.213 \| good	2.544 \| good	0.263 \| good
2026-03-08T02:00:00.000Z	17 \| good	3.197 \| good	11.069 \| good	17.591 \| good	0.213 \| good	2.659 \| good	0.263 \| good
2026-03-08T03:00:00.000Z	29 \| good	3.784 \| good	16.337 \| good	31.289 \| good	0.275 \| good	5.174 \| good	0.175 \| good
2026-03-08T04:00:00.000Z	22 \| good	3.629 \| good	14.101 \| good	17.52 \| good	0.213 \| good	2.988 \| good	0.263 \| good
2026-03-08T05:00:00.000Z	22 \| good	4.288 \| good	18.517 \| good	18.519 \| good	0.216 \| good	3.047 \| good	0.184 \| good
2026-03-08T06:00:00.000Z	22 \| good	4.426 \| good	15.323 \| good	20.7 \| good	0.121 \| good	3.002 \| good	0.184 \| good
2026-03-08T07:00:00.000Z	23 \| good	4.347 \| good	16.72 \| good	24.656 \| good	0.123 \| good	2.997 \| good	0.184 \| good
2026-03-08T08:00:00.000Z	27 \| good	4.655 \| good	19.882 \| good	27.628 \| good	0.215 \| good	2.222 \| good	0.186 \| good
2026-03-08T09:00:00.000Z	27 \| good	4.727 \| good	14.13 \| good	27.668 \| good	0.211 \| good	2.529 \| good	0.181 \| good
2026-03-08T10:00:00.000Z	27 \| good	4.887 \| good	18.308 \| good	26.876 \| good	0.217 \| good	2.612 \| good	0.186 \| good
2026-03-08T11:00:00.000Z	27 \| good	5.307 \| good	19.852 \| good	27.411 \| good	0.234 \| good	3.06 \| good	0.186 \| good
2026-03-08T12:00:00.000Z	38 \| good	6.511 \| good	26.069 \| good	26.164 \| good	0.15 \| good	2.882 \| good	0.186 \| good
2026-03-08T13:00:00.000Z	33 \| good	6.487 \| good	19.693 \| good	27.408 \| good	0.154 \| good	2.885 \| good	0.184 \| good
2026-03-08T14:00:00.000Z	38 \| good	7.494 \| good	26.802 \| good	24.563 \| good	0.154 \| good	2.935 \| good	0.184 \| good
2026-03-08T15:00:00.000Z	38 \| good	7.16 \| good	29.207 \| good	22.705 \| good	0.349 \| good	2.69 \| good	0.184 \| good
2026-03-08T16:00:00.000Z	38 \| good	6.624 \| good	25.964 \| good	25.806 \| good	0.433 \| good	2.747 \| good	0.184 \| good
2026-03-08T17:00:00.000Z	33 \| good	6.197 \| good	24.467 \| good	28.975 \| good	0.261 \| good	2.503 \| good	0.263 \| good
2026-03-08T18:00:00.000Z	33 \| good	6.028 \| good	19.116 \| good	31.358 \| good	0.355 \| good	2.329 \| good	0.184 \| good
2026-03-08T19:00:00.000Z	33 \| good	5.803 \| good	16.643 \| good	32.725 \| good	0.449 \| good	2.492 \| good	0.184 \| good
2026-03-08T20:00:00.000Z	33 \| good	5.509 \| good	16.759 \| good	35.772 \| good	0.344 \| good	2.72 \| good	0.263 \| good
2026-03-08T21:00:00.000Z	33 \| good	5.166 \| good	16.953 \| good	36.379 \| good	0.261 \| good	2.58 \| good	0.263 \| good
2026-03-08T22:00:00.000Z	36 \| good	4.778 \| good	14.68 \| good	39.015 \| good	0.351 \| good	2.546 \| good	0.263 \| good
2026-03-08T23:00:00.000Z	37 \| good	4.361 \| good	16.086 \| good	39.782 \| good	0.421 \| good	3.55 \| good	0.263 \| good
2026-03-09T00:00:00.000Z	35 \| good	4.182 \| good	14.175 \| good	37.97 \| good	0.432 \| good	4.773 \| good	0.342 \| good
2026-03-09T01:00:00.000Z	34 \| good	4.1 \| good	14.428 \| good	37.329 \| good	0.331 \| good	4.67 \| good	0.263 \| good
2026-03-09T02:00:00.000Z	33 \| good	3.984 \| good	13.09 \| good	36.175 \| good	0.324 \| good	5.086 \| good	0.263 \| good
2026-03-09T03:00:00.000Z	32 \| good	0.411 \| good	1.614 \| good	34.807 \| good	0.403 \| good	3.776 \| good	0.162 \| good
2026-03-09T04:00:00.000Z	30 \| good	3.516 \| good	11.915 \| good	32.18 \| good	0.319 \| good	3.267 \| good	0.184 \| good
2026-03-09T05:00:00.000Z	29 \| good	3.228 \| good	11.545 \| good	31.196 \| good	0.416 \| good	2.663 \| good	0.184 \| good
2026-03-09T06:00:00.000Z	29 \| good	3.143 \| good	11.851 \| good	31.359 \| good	0.321 \| good	2.503 \| good	0.184 \| good
2026-03-09T07:00:00.000Z	31 \| good	3.172 \| good	11.736 \| good	33.056 \| good	0.319 \| good	2.504 \| good	0.184 \| good
2026-03-09T08:00:00.000Z	30 \| good	3.171 \| good	11.558 \| good	31.779 \| good	0.321 \| good	2.601 \| good	0.184 \| good
2026-03-09T09:00:00.000Z	31 \| good	3.285 \| good	11.768 \| good	33.802 \| good	0.333 \| good	2.605 \| good	0.184 \| good
2026-03-09T10:00:00.000Z	32 \| good	3.245 \| good	14.014 \| good	35.455 \| good	0.332 \| good	3.917 \| good	0.184 \| good
2026-03-09T11:00:00.000Z	31 \| good	3.378 \| good	12.861 \| good	33.803 \| good	0.327 \| good	5.841 \| good	0.263 \| good
2026-03-09T12:00:00.000Z	28 \| good	3.362 \| good	15.079 \| good	29.562 \| good	0.333 \| good	7.363 \| good	0.265 \| good
2026-03-09T13:00:00.000Z	21 \| good	3.457 \| good	14.352 \| good	23.064 \| good	0.331 \| good	7.372 \| good	0.263 \| good
2026-03-09T14:00:00.000Z	22 \| good	3.614 \| good	13.7 \| good	19.497 \| good	0.407 \| good	9.398 \| good	0.266 \| good
2026-03-09T15:00:00.000Z	25 \| good	3.658 \| good	14.265 \| good	27.486 \| good	0.421 \| good	6.253 \| good	0.184 \| good
2026-03-09T16:00:00.000Z	28 \| good	3.781 \| good	14.564 \| good	29.663 \| good	0.337 \| good	4.926 \| good	0.187 \| good
2026-03-09T17:00:00.000Z	29 \| good	3.884 \| good	13.853 \| good	30.97 \| good	0.357 \| good	5.316 \| good	0.184 \| good
2026-03-09T18:00:00.000Z	23 \| good	4.122 \| good	16.488 \| good	25.481 \| good	0.461 \| good	5.107 \| good	0.263 \| good
2026-03-09T19:00:00.000Z	32 \| good	4.239 \| good	19.081 \| good	35.085 \| good	0.62 \| good	5.033 \| good	0.266 \| good
2026-03-09T20:00:00.000Z	32 \| good	5.253 \| good	24.084 \| good	34.518 \| good	0.783 \| good	5.233 \| good	0.266 \| good
2026-03-09T21:00:00.000Z	38 \| good	6.003 \| good	22.2 \| good	41.294 \| good	0.772 \| good	5.071 \| good	0.425 \| good
2026-03-09T22:00:00.000Z	42 \| good	6.395 \| good	21.537 \| good	45.398 \| good	0.736 \| good	5.272 \| good	0.346 \| good
2026-03-09T23:00:00.000Z	41 \| good	6.621 \| good	29.011 \| good	44.161 \| good	0.506 \| good	6.13 \| good	0.346 \| good
2026-03-10T00:00:00.000Z	44 \| good	8.343 \| good	26.982 \| good	38.595 \| good	0.406 \| good	9.373 \| good	0.429 \| good
2026-03-10T00:00:00.000Z	44 \| good	8.343 \| good	26.982 \| good	38.595 \| good	0.406 \| good	9.373 \| good	0.429 \| good
2026-03-10T01:00:00.000Z	38 \| good	7.117 \| good	31.617 \| good	27.039 \| good	0.965 \| good	29.197 \| good	0.354 \| good
2026-03-10T02:00:00.000Z	30 \| good	5.315 \| good	23.049 \| good	22.426 \| good	1.143 \| good	32.232 \| good	0.373 \| good
2026-03-10T03:00:00.000Z	38 \| good	7.255 \| good	31.971 \| good	25.5 \| good	1.321 \| good	35.268 \| good	0.392 \| good
2026-03-10T04:00:00.000Z	33 \| good	4.155 \| good	18.079 \| good	31.714 \| good	1.32 \| good	34.662 \| good	0.38 \| good
2026-03-10T05:00:00.000Z	34 \| good	1.909 \| good	7.677 \| good	36.884 \| good	1.319 \| good	34.055 \| good	0.368 \| good
2026-03-10T06:00:00.000Z	35 \| good	1.504 \| good	6.02 \| good	37.576 \| good	1.318 \| good	33.449 \| good	0.357 \| good
2026-03-10T07:00:00.000Z	30 \| good	0.875 \| good	3.119 \| good	31.926 \| good	1.029 \| good	26.415 \| good	0.309 \| good
2026-03-10T08:00:00.000Z	30 \| good	2.082 \| good	8.478 \| good	31.852 \| good	0.74 \| good	19.381 \| good	0.262 \| good
2026-03-10T09:00:00.000Z	31 \| good	2.777 \| good	11.433 \| good	34.264 \| good	0.451 \| good	12.348 \| good	0.215 \| good
2026-03-10T10:00:00.000Z	36 \| good	0.362 \| good	1.127 \| good	39.471 \| good	0.387 \| good	9.821 \| good	0.202 \| good
2026-03-10T11:00:00.000Z	35 \| good	0.394 \| good	1.205 \| good	38.4 \| good	0.323 \| good	7.295 \| good	0.189 \| good
2026-03-10T12:00:00.000Z	34 \| good	3.113 \| good	13.324 \| good	37.43 \| good	0.258 \| good	4.768 \| good	0.176 \| good
2026-03-10T13:00:00.000Z	31 \| good	3.517 \| good	15.356 \| good	33.737 \| good	0.264 \| good	4.627 \| good	0.18 \| good
2026-03-10T14:00:00.000Z	29 \| good	3.926 \| good	17.362 \| good	31.243 \| good	0.269 \| good	4.486 \| good	0.184 \| good
2026-03-10T15:00:00.000Z	25 \| good	1.974 \| good	8.088 \| good	26.718 \| good	0.274 \| good	4.345 \| good	0.187 \| good
2026-03-10T16:00:00.000Z	26 \| good	1.822 \| good	7.556 \| good	27.947 \| good	0.264 \| good	3.542 \| good	0.178 \| good
2026-03-10T17:00:00.000Z	27 \| good	1.246 \| good	5.071 \| good	28.568 \| good	0.255 \| good	2.74 \| good	0.168 \| good
2026-03-10T18:00:00.000Z	30 \| good	4.079 \| good	17.899 \| good	32.247 \| good	0.245 \| good	1.937 \| good	0.158 \| good
2026-03-10T19:00:00.000Z	30 \| good	3.401 \| good	14.756 \| good	31.745 \| good	0.241 \| good	2.163 \| good	0.16 \| good
2026-03-10T20:00:00.000Z	26 \| good	2.464 \| good	10.268 \| good	28.433 \| good	0.236 \| good	2.39 \| good	0.161 \| good
2026-03-10T21:00:00.000Z	24 \| good	1.73 \| good	7.297 \| good	26.219 \| good	0.232 \| good	2.616 \| good	0.162 \| good
2026-03-10T22:00:00.000Z	25 \| good	2.32 \| good	9.474 \| good	27.379 \| good	0.227 \| good	3.125 \| good	0.165 \| good
2026-03-10T23:00:00.000Z	25 \| good	1.781 \| good	7.449 \| good	26.95 \| good	0.222 \| good	3.634 \| good	0.169 \| good
2026-03-11T00:00:00.000Z	26 \| good	1.379 \| good	5.441 \| good	27.852 \| good	0.216 \| good	4.144 \| good	0.172 \| good
2026-03-11T01:00:00.000Z	26 \| good	1.389 \| good	5.441 \| good	27.581 \| good	0.215 \| good	3.863 \| good	0.17 \| good
2026-03-11T02:00:00.000Z	31 \| good	4.38 \| good	19.346 \| good	33.34 \| good	0.213 \| good	3.582 \| good	0.168 \| good
2026-03-11T03:00:00.000Z	33 \| good	6.004 \| good	26.425 \| good	36.326 \| good	0.212 \| good	3.302 \| good	0.165 \| good
2026-03-11T04:00:00.000Z	33 \| good	4.682 \| good	20.424 \| good	36.037 \| good	0.192 \| good	2.977 \| good	0.164 \| good
2026-03-11T05:00:00.000Z	33 \| good	5.071 \| good	21.655 \| good	35.654 \| good	0.172 \| good	2.652 \| good	0.162 \| good
2026-03-11T06:00:00.000Z	28 \| good	3.459 \| good	3.503 \| good	29.731 \| good	0.151 \| good	2.308 \| good	0.161 \| good
2026-03-11T07:00:00.000Z	31 \| good	3.697 \| good	16.105 \| good	33.589 \| good	0.146 \| good	1.984 \| good	0.159 \| good
2026-03-11T08:00:00.000Z	30 \| good	0.403 \| good	1.315 \| good	32.401 \| good	0.14 \| good	1.64 \| good	0.157 \| good
2026-03-11T09:00:00.000Z	30 \| good	0.378 \| good	1.478 \| good	31.676 \| good	0.133 \| good	1.296 \| good	0.155 \| good
2026-03-11T10:00:00.000Z	33 \| good	2.298 \| good	9.499 \| good	35.743 \| good	0.142 \| good	1.199 \| good	0.154 \| good
2026-03-11T11:00:00.000Z	31 \| good	0.725 \| good	2.632 \| good	34.099 \| good	0.151 \| good	1.102 \| good	0.152 \| good
2026-03-11T12:00:00.000Z	32 \| good	1.246 \| good	1.259 \| good	34.982 \| good	0.158 \| good	0.996 \| good	0.151 \| good
2026-03-11T13:00:00.000Z	33 \| good	1.208 \| good	1.218 \| good	35.627 \| good	0.168 \| good	1.251 \| good	0.153 \| good
2026-03-11T14:00:00.000Z	33 \| good	1.053 \| good	1.059 \| good	36.273 \| good	0.178 \| good	1.506 \| good	0.154 \| good
2026-03-11T15:00:00.000Z	34 \| good	0.865 \| good	0.873 \| good	36.919 \| good	0.187 \| good	1.761 \| good	0.156 \| good
2026-03-11T16:00:00.000Z	35 \| good	0.684 \| good	0.693 \| good	37.717 \| good	0.2 \| good	1.625 \| good	0.155 \| good
2026-03-11T17:00:00.000Z	29 \| good	0.947 \| good	3.936 \| good	31.471 \| good	0.215 \| good	1.495 \| good	0.153 \| good
2026-03-11T18:00:00.000Z	36 \| good	0.574 \| good	0.603 \| good	39.313 \| good	0.226 \| good	1.352 \| good	0.152 \| good
2026-03-11T19:00:00.000Z	37 \| good	0.62 \| good	0.662 \| good	39.755 \| good	0.221 \| good	1.514 \| good	0.151 \| good
2026-03-11T20:00:00.000Z	37 \| good	0.785 \| good	0.852 \| good	40.196 \| good	0.215 \| good	1.676 \| good	0.149 \| good
2026-03-11T21:00:00.000Z	38 \| good	0.929 \| good	1.005 \| good	40.638 \| good	0.21 \| good	1.838 \| good	0.148 \| good
2026-03-11T22:00:00.000Z	36 \| good	0.988 \| good	1.058 \| good	39.476 \| good	0.206 \| good	2.314 \| good	0.152 \| good
2026-03-11T23:00:00.000Z	35 \| good	1 \| good	1.09 \| good	38.315 \| good	0.201 \| good	2.791 \| good	0.155 \| good
2026-03-12T00:00:00.000Z	34 \| good	1.14 \| good	1.254 \| good	37.154 \| good	0.197 \| good	3.268 \| good	0.159 \| good

Brown Deer

Get reliable air quality data to drive your business

Brown Deer, Wisconsin air quality map: Stay updated on AQI near you

0.36ppm

How accurate is Wisconsin, USA air quality data?

Air quality and pollutant data for Wisconsin, 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 Brown Deer, Wisconsin?

The air quality information for Brown Deer, Wisconsin is updated every hour for accuracy.

What time in the last 24 hours was the air quality in Brown Deer, Wisconsin at its worst?

In the past 24 hours, the air quality in Brown Deer, Wisconsin was at its worst at 10:00:00 on 2026-03-09.

When did Brown Deer, Wisconsin experience the best air quality in the last 24 hours?

In the last 24 hours, the best air quality in Brown Deer, Wisconsin was observed at 01:00:00 on 2026-03-09.

What is the AQI in Brown Deer, Wisconsin right now?

As of now, the AQI in Brown Deer, Wisconsin is 44, indicating Good conditions.

What is the most common type of pollution in Brown Deer, Wisconsin?

Brown Deer, Wisconsin air has the highest levels of PM2.5.

What should I do in case of poor air quality in Brown Deer, Wisconsin?

Poor air quality in Brown Deer, Wisconsin means it's advisable to stay indoors and wear a mask for your protection.

What is the PM_2.5 level in Brown Deer, Wisconsin at the moment?

PM_2.5 levels in Brown Deer, Wisconsin are currently 8.343 μg/m³.

What is the PM₁₀ level in Brown Deer, Wisconsin at the moment?

The PM₁₀ concentration in Brown Deer, Wisconsin is 26.982 μg/m³ at the moment.

What is the carbon monoxide (CO) level in Brown Deer, Wisconsin at the moment?

The current carbon monoxide (CO) concentration in Brown Deer, Wisconsin is 0.429 ppm.

What is the sulfur dioxide (SO₂) level in Brown Deer, Wisconsin at the moment?

Currently, Brown Deer, Wisconsin has a sulfur dioxide (SO₂) concentration of 0.406 ppb.

What is the ozone (O₃) level in Brown Deer, Wisconsin at the moment?

The current ozone (O₃) level in Brown Deer, Wisconsin at the moment is 38.595 ppm.

What is the nitrogen dioxide (NO₂) level in Brown Deer, Wisconsin at the moment?

Nitrogen dioxide (NO₂) level in Brown Deer, Wisconsin at the moment is 9.373 ppb.

Certified

APIs

Refund Policy

Historical Climate Data

Terms & Conditions