What are the current PM10 levels at Greenfield, Wisconsin?

The current PM10 levels in Greenfield, Wisconsin are 7.713 μg/m3.

What are the current sulfur dioxide (SO2) levels at Greenfield, Wisconsin?

The current sulfur dioxide (SO2) levels in Greenfield, Wisconsin are 0.921 ppb.

What are the current ozone (O3) levels at Greenfield, Wisconsin?

The current ozone (O3) levels at Greenfield, Wisconsin is 8.324 ppm.

What are the current nitrogen dioxide (NO2) levels at Greenfield, Wisconsin?

The current nitrogen dioxide (NO2) levels at Greenfield, Wisconsin is 7.181 ppb.

Real-time air quality index in Greenfield, Wisconsin today

Q: What are the current PM2.5 levels in Greenfield, Wisconsin?

The measured PM2.5 levels in Greenfield, Wisconsin at present are 2.817 μg/m3.

Stay updated with real-time air quality in Greenfield, 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

Greenfield, Wisconsin

Last updated: ... (Local time)

Common air pollutants in Greenfield, Wisconsin

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

3.01 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

8.65 μg/m³

155

255

425

605+

Ozone (O₃)

9.48 ppb

201

201+

Sulfur Dioxide (SO₂)

0.89 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

12.61 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.30 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Greenfield, Wisconsin

Get Live Pollen Counts

Greenfield, Wisconsin

Scroll To Air Quality Map

Track live Greenfield, Wisconsin air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-22T11:00:00.000Z	18 \| good	1.074 \| good	3.879 \| good	18.638 \| good	0.848 \| good	3.934 \| good	0.194 \| good
2025-10-22T12:00:00.000Z	18 \| good	1.002 \| good	3.787 \| good	19.475 \| good	0.91 \| good	5.156 \| good	0.194 \| good
2025-10-22T13:00:00.000Z	19 \| good	1 \| good	3.747 \| good	20.017 \| good	0.91 \| good	5.221 \| good	0.203 \| good
2025-10-22T14:00:00.000Z	18 \| good	0.87 \| good	3.332 \| good	18.509 \| good	0.814 \| good	5.208 \| good	0.201 \| good
2025-10-22T15:00:00.000Z	18 \| good	0.836 \| good	3.301 \| good	19.433 \| good	0.968 \| good	5.18 \| good	0.201 \| good
2025-10-22T16:00:00.000Z	16 \| good	0.838 \| good	3.35 \| good	16.769 \| good	0.974 \| good	5.355 \| good	0.201 \| good
2025-10-22T17:00:00.000Z	16 \| good	0.855 \| good	3.255 \| good	17.48 \| good	0.969 \| good	5.342 \| good	0.201 \| good
2025-10-22T18:00:00.000Z	14 \| good	1.076 \| good	3.894 \| good	14.717 \| good	0.896 \| good	4.702 \| good	0.194 \| good
2025-10-22T19:00:00.000Z	14 \| good	1.263 \| good	4.938 \| good	15.342 \| good	0.812 \| good	4.782 \| good	0.201 \| good
2025-10-22T20:00:00.000Z	14 \| good	1.277 \| good	4.561 \| good	14.665 \| good	0.891 \| good	4.563 \| good	0.286 \| good
2025-10-22T21:00:00.000Z	15 \| good	1.297 \| good	4.42 \| good	15.749 \| good	0.874 \| good	4.465 \| good	0.295 \| good
2025-10-22T22:00:00.000Z	17 \| good	1.364 \| good	4.489 \| good	17.841 \| good	0.954 \| good	4.439 \| good	0.294 \| good
2025-10-22T23:00:00.000Z	15 \| good	1.303 \| good	4.501 \| good	16.289 \| good	0.965 \| good	4.548 \| good	0.294 \| good
2025-10-23T00:00:00.000Z	14 \| good	1.315 \| good	4.499 \| good	15.231 \| good	0.944 \| good	4.875 \| good	0.286 \| good
2025-10-23T01:00:00.000Z	14 \| good	1.403 \| good	5.013 \| good	14.743 \| good	0.874 \| good	4.725 \| good	0.196 \| good
2025-10-23T02:00:00.000Z	15 \| good	1.309 \| good	4.157 \| good	15.725 \| good	0.951 \| good	4.056 \| good	0.204 \| good
2025-10-23T03:00:00.000Z	15 \| good	1.193 \| good	3.998 \| good	15.981 \| good	0.887 \| good	3.893 \| good	0.204 \| good
2025-10-23T04:00:00.000Z	15 \| good	1.289 \| good	4.101 \| good	16.047 \| good	0.887 \| good	3.844 \| good	0.204 \| good
2025-10-23T05:00:00.000Z	14 \| good	1.237 \| good	4.247 \| good	15.211 \| good	0.903 \| good	3.813 \| good	0.21 \| good
2025-10-23T06:00:00.000Z	13 \| good	1.27 \| good	4.351 \| good	14.463 \| good	0.884 \| good	4.114 \| good	0.206 \| good
2025-10-23T07:00:00.000Z	13 \| good	1.268 \| good	4.392 \| good	13.597 \| good	0.892 \| good	4.154 \| good	0.205 \| good
2025-10-23T08:00:00.000Z	13 \| good	1.225 \| good	4.115 \| good	14.251 \| good	0.891 \| good	4.155 \| good	0.203 \| good
2025-10-23T09:00:00.000Z	13 \| good	1.228 \| good	4.165 \| good	13.768 \| good	0.876 \| good	3.952 \| good	0.199 \| good
2025-10-23T10:00:00.000Z	13 \| good	1.332 \| good	4.065 \| good	13.853 \| good	0.858 \| good	4.722 \| good	0.201 \| good
2025-10-23T11:00:00.000Z	12 \| good	1.432 \| good	4.161 \| good	13.013 \| good	1.026 \| good	4.736 \| good	0.295 \| good
2025-10-23T12:00:00.000Z	11 \| good	1.436 \| good	4.317 \| good	11.964 \| good	0.949 \| good	6.537 \| good	0.299 \| good
2025-10-23T13:00:00.000Z	11 \| good	1.438 \| good	4.422 \| good	12.379 \| good	0.971 \| good	6.621 \| good	0.3 \| good
2025-10-23T14:00:00.000Z	13 \| good	1.465 \| good	5.648 \| good	13.523 \| good	0.974 \| good	7.011 \| good	0.395 \| good
2025-10-23T15:00:00.000Z	12 \| good	1.395 \| good	5.372 \| good	13.049 \| good	0.983 \| good	5.93 \| good	0.289 \| good
2025-10-23T16:00:00.000Z	12 \| good	1.444 \| good	5.13 \| good	12.552 \| good	1.144 \| good	5.821 \| good	0.294 \| good
2025-10-23T17:00:00.000Z	16 \| good	1.325 \| good	5.161 \| good	17.25 \| good	1.027 \| good	6.029 \| good	0.292 \| good
2025-10-23T18:00:00.000Z	16 \| good	1.215 \| good	4.848 \| good	16.75 \| good	0.934 \| good	6.248 \| good	0.194 \| good
2025-10-23T19:00:00.000Z	17 \| good	1.248 \| good	4.831 \| good	17.794 \| good	0.882 \| good	6.675 \| good	0.286 \| good
2025-10-23T20:00:00.000Z	19 \| good	1.482 \| good	4.78 \| good	19.675 \| good	1.023 \| good	9.13 \| good	0.386 \| good
2025-10-23T21:00:00.000Z	19 \| good	1.617 \| good	5.1 \| good	21.352 \| good	1.161 \| good	7.773 \| good	0.377 \| good
2025-10-23T22:00:00.000Z	19 \| good	2.02 \| good	6.889 \| good	20.941 \| good	1.085 \| good	7.697 \| good	0.386 \| good
2025-10-23T23:00:00.000Z	20 \| good	2.093 \| good	6.84 \| good	21.834 \| good	0.997 \| good	7.823 \| good	0.377 \| good
2025-10-24T00:00:00.000Z	20 \| good	2.201 \| good	7.351 \| good	21.843 \| good	1.024 \| good	7.51 \| good	0.298 \| good
2025-10-24T01:00:00.000Z	21 \| good	2.568 \| good	8.232 \| good	23.351 \| good	1.216 \| good	9.889 \| good	0.291 \| good
2025-10-24T02:00:00.000Z	19 \| good	2.762 \| good	8.837 \| good	20.995 \| good	1.073 \| good	10.374 \| good	0.384 \| good
2025-10-24T03:00:00.000Z	14 \| good	0.98 \| good	3.584 \| good	15.256 \| good	0.506 \| good	4.112 \| good	0.135 \| good
2025-10-24T04:00:00.000Z	16 \| good	3.153 \| good	11.152 \| good	10.946 \| good	0.971 \| good	9.168 \| good	0.203 \| good
2025-10-24T05:00:00.000Z	16 \| good	3.101 \| good	10.783 \| good	8.061 \| good	1.009 \| good	8.021 \| good	0.207 \| good
2025-10-24T06:00:00.000Z	16 \| good	2.967 \| good	10.215 \| good	7.964 \| good	1.012 \| good	7.168 \| good	0.208 \| good
2025-10-24T07:00:00.000Z	16 \| good	2.961 \| good	9.936 \| good	8.7 \| good	1.054 \| good	7.115 \| good	0.21 \| good
2025-10-24T08:00:00.000Z	16 \| good	2.891 \| good	9.538 \| good	9.44 \| good	0.904 \| good	6.968 \| good	0.21 \| good
2025-10-24T09:00:00.000Z	16 \| good	2.973 \| good	10.097 \| good	11.213 \| good	0.819 \| good	7.845 \| good	0.206 \| good
2025-10-24T10:00:00.000Z	16 \| good	3.166 \| good	11.342 \| good	9.885 \| good	0.876 \| good	11.445 \| good	0.301 \| good
2025-10-24T10:00:00.000Z	16 \| good	3.01 \| good	8.655 \| good	9.48 \| good	0.888 \| good	12.608 \| good	0.301 \| good
2025-10-24T09:00:00.000Z	9 \| good	0.859 \| good	3.133 \| good	10.08 \| good	0.645 \| good	3.33 \| good	0.129 \| good
2025-10-24T10:00:00.000Z	11 \| good	2.186 \| good	8.997 \| good	11.05 \| good	0.71 \| good	3.798 \| good	0.132 \| good
2025-10-24T11:00:00.000Z	11 \| good	2.463 \| good	9.981 \| good	8.674 \| good	0.775 \| good	4.266 \| good	0.135 \| good
2025-10-24T12:00:00.000Z	16 \| good	3.246 \| good	13.809 \| good	4.299 \| good	0.84 \| good	4.734 \| good	0.137 \| good
2025-10-24T13:00:00.000Z	16 \| good	3.215 \| good	13.866 \| good	7.232 \| good	0.933 \| good	4.384 \| good	0.141 \| good
2025-10-24T14:00:00.000Z	16 \| good	2.85 \| good	11.997 \| good	13.995 \| good	1.026 \| good	4.034 \| good	0.144 \| good
2025-10-24T15:00:00.000Z	16 \| good	2.673 \| good	10.887 \| good	16.705 \| good	1.118 \| good	3.684 \| good	0.148 \| good
2025-10-24T16:00:00.000Z	19 \| good	2.753 \| good	11.218 \| good	20.742 \| good	0.932 \| good	2.972 \| good	0.139 \| good
2025-10-24T17:00:00.000Z	21 \| good	2.91 \| good	11.927 \| good	23.234 \| good	0.746 \| good	2.259 \| good	0.129 \| good
2025-10-24T18:00:00.000Z	23 \| good	2.823 \| good	11.768 \| good	25.02 \| good	0.561 \| good	1.547 \| good	0.12 \| good
2025-10-24T19:00:00.000Z	23 \| good	3.418 \| good	14.998 \| good	24.924 \| good	0.58 \| good	1.685 \| good	0.121 \| good
2025-10-24T20:00:00.000Z	27 \| good	4.506 \| good	19.679 \| good	21.089 \| good	0.599 \| good	1.824 \| good	0.121 \| good
2025-10-24T21:00:00.000Z	22 \| good	3.967 \| good	17.073 \| good	22.831 \| good	0.618 \| good	1.962 \| good	0.122 \| good
2025-10-24T22:00:00.000Z	38 \| good	6.869 \| good	30.72 \| good	21.52 \| good	0.718 \| good	6.411 \| good	0.159 \| good
2025-10-24T23:00:00.000Z	49 \| good	8.937 \| good	40.046 \| good	12.675 \| good	0.817 \| good	10.86 \| good	0.197 \| good
2025-10-25T00:00:00.000Z	52 \| moderate	10.479 \| good	46.462 \| good	7.945 \| good	0.917 \| good	15.308 \| good	0.235 \| good
2025-10-25T01:00:00.000Z	33 \| good	6.35 \| good	27.914 \| good	12.609 \| good	1.017 \| good	15.519 \| good	0.254 \| good
2025-10-25T02:00:00.000Z	33 \| good	5.563 \| good	24.369 \| good	15.042 \| good	1.117 \| good	15.73 \| good	0.273 \| good
2025-10-25T03:00:00.000Z	33 \| good	6.33 \| good	27.919 \| good	14.029 \| good	1.217 \| good	15.941 \| good	0.292 \| good
2025-10-25T04:00:00.000Z	49 \| good	8.904 \| good	39.143 \| good	12.663 \| good	1.19 \| good	15.606 \| good	0.275 \| good
2025-10-25T05:00:00.000Z	52 \| moderate	9.9 \| good	44.076 \| good	13.28 \| good	1.162 \| good	15.271 \| good	0.258 \| good
2025-10-25T06:00:00.000Z	52 \| moderate	10.23 \| good	45.234 \| good	15.274 \| good	1.135 \| good	14.936 \| good	0.241 \| good
2025-10-25T07:00:00.000Z	44 \| good	8.406 \| good	36.964 \| good	14.079 \| good	1.15 \| good	14.052 \| good	0.225 \| good
2025-10-25T08:00:00.000Z	27 \| good	5.371 \| good	23.011 \| good	16.882 \| good	1.165 \| good	13.167 \| good	0.209 \| good
2025-10-25T09:00:00.000Z	22 \| good	4.239 \| good	18.788 \| good	18.581 \| good	1.18 \| good	12.283 \| good	0.194 \| good
2025-10-25T10:00:00.000Z	27 \| good	5.487 \| good	23.89 \| good	16.781 \| good	1.235 \| good	12.389 \| good	0.194 \| good
2025-10-25T11:00:00.000Z	27 \| good	5.3 \| good	22.903 \| good	16.528 \| good	1.29 \| good	12.495 \| good	0.193 \| good
2025-10-25T12:00:00.000Z	27 \| good	4.913 \| good	21.09 \| good	16.848 \| good	1.344 \| good	12.601 \| good	0.193 \| good
2025-10-25T13:00:00.000Z	27 \| good	5.365 \| good	23.044 \| good	15.414 \| good	1.375 \| good	11 \| good	0.192 \| good
2025-10-25T14:00:00.000Z	27 \| good	5.264 \| good	22.83 \| good	16.793 \| good	1.405 \| good	9.398 \| good	0.192 \| good
2025-10-25T15:00:00.000Z	22 \| good	3.558 \| good	15.865 \| good	24.234 \| good	1.435 \| good	7.796 \| good	0.191 \| good
2025-10-25T16:00:00.000Z	26 \| good	3.74 \| good	16.196 \| good	28.172 \| good	1.197 \| good	5.989 \| good	0.167 \| good
2025-10-25T17:00:00.000Z	28 \| good	3.416 \| good	14.98 \| good	30.221 \| good	0.96 \| good	4.181 \| good	0.144 \| good
2025-10-25T18:00:00.000Z	30 \| good	3.623 \| good	16.073 \| good	31.664 \| good	0.722 \| good	2.373 \| good	0.12 \| good
2025-10-25T19:00:00.000Z	29 \| good	4.408 \| good	18.992 \| good	31.487 \| good	0.66 \| good	2.246 \| good	0.119 \| good
2025-10-25T20:00:00.000Z	38 \| good	7.193 \| good	31.875 \| good	30.903 \| good	0.597 \| good	2.118 \| good	0.117 \| good
2025-10-25T21:00:00.000Z	38 \| good	7.18 \| good	31.922 \| good	29.083 \| good	0.534 \| good	1.99 \| good	0.116 \| good
2025-10-25T22:00:00.000Z	38 \| good	6.65 \| good	29.722 \| good	29.419 \| good	0.52 \| good	3.114 \| good	0.124 \| good
2025-10-25T23:00:00.000Z	44 \| good	7.536 \| good	32.965 \| good	26.462 \| good	0.507 \| good	4.237 \| good	0.133 \| good
2025-10-26T00:00:00.000Z	38 \| good	7.492 \| good	32.789 \| good	25.921 \| good	0.493 \| good	5.361 \| good	0.141 \| good
2025-10-26T01:00:00.000Z	33 \| good	5.603 \| good	24.187 \| good	28.316 \| good	0.52 \| good	5.467 \| good	0.142 \| good
2025-10-26T02:00:00.000Z	33 \| good	5.735 \| good	24.906 \| good	29.325 \| good	0.547 \| good	5.573 \| good	0.144 \| good
2025-10-26T03:00:00.000Z	33 \| good	6.084 \| good	26.843 \| good	28.476 \| good	0.574 \| good	5.679 \| good	0.145 \| good
2025-10-26T04:00:00.000Z	44 \| good	8.499 \| good	37.068 \| good	27.207 \| good	0.607 \| good	5.605 \| good	0.146 \| good
2025-10-26T05:00:00.000Z	49 \| good	8.82 \| good	38.807 \| good	30.459 \| good	0.639 \| good	5.531 \| good	0.147 \| good
2025-10-26T06:00:00.000Z	38 \| good	6.79 \| good	7.029 \| good	31.892 \| good	0.673 \| good	5.435 \| good	0.148 \| good
2025-10-26T07:00:00.000Z	52 \| moderate	9.557 \| good	42.202 \| good	28.61 \| good	0.711 \| good	5.075 \| good	0.147 \| good
2025-10-26T08:00:00.000Z	49 \| good	9.145 \| good	40.832 \| good	26.882 \| good	0.749 \| good	4.692 \| good	0.146 \| good

Greenfield

Empower business decisions with accurate air quality data

Greenfield, Wisconsin air quality map: Real-time AQI near you

0.21ppm

How accurate is Wisconsin, USA air quality data?

Air quality measurements for Wisconsin, 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 Greenfield, Wisconsin updated?

Air quality data for Greenfield, Wisconsin is updated on an hourly basis.

When did Greenfield, Wisconsin experience the worst air quality in the last 24 hours?

The worst air quality in Greenfield, Wisconsin was recorded at 01:00:00 on 2025-10-24.

When did Greenfield, Wisconsin have its best air quality in the last 24 hours?

The best air quality in Greenfield, Wisconsin was recorded at 04:00:00 on 2025-10-23.

What is the real-time air quality index for Greenfield, Wisconsin?

The real-time air quality index in Greenfield, Wisconsin is 16, currently categorized as Good.

Which pollutant is found most often in Greenfield, Wisconsin?

The most common pollutant in Greenfield, Wisconsin is PM2.5.

What can I do if the air quality in Greenfield, Wisconsin is poor?

If the air quality in Greenfield, Wisconsin is poor, limit outdoor activities and use a mask to safeguard your health.

What are the current PM_2.5 levels in Greenfield, Wisconsin?

The measured PM_2.5 levels in Greenfield, Wisconsin at present are 2.817 μg/m³.

What are the current PM₁₀ levels at Greenfield, Wisconsin?

The current PM₁₀ levels in Greenfield, Wisconsin are 7.713 μg/m³.

What are the current carbon monoxide (CO) levels at Greenfield, Wisconsin?

The current carbon monoxide (CO) level in Greenfield, Wisconsin is 0.206 ppm.

What are the current sulfur dioxide (SO₂) levels at Greenfield, Wisconsin?

The current sulfur dioxide (SO₂) levels in Greenfield, Wisconsin are 0.921 ppb.

What are the current ozone (O₃) levels at Greenfield, Wisconsin?

The current ozone (O₃) levels at Greenfield, Wisconsin is 8.324 ppm.

What are the current nitrogen dioxide (NO₂) levels at Greenfield, Wisconsin?

The current nitrogen dioxide (NO₂) levels at Greenfield, Wisconsin is 7.181 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-22T11:00:00.000Z	18 \| good	1.074 \| good	3.879 \| good	18.638 \| good	0.848 \| good	3.934 \| good	0.194 \| good
2025-10-22T12:00:00.000Z	18 \| good	1.002 \| good	3.787 \| good	19.475 \| good	0.91 \| good	5.156 \| good	0.194 \| good
2025-10-22T13:00:00.000Z	19 \| good	1 \| good	3.747 \| good	20.017 \| good	0.91 \| good	5.221 \| good	0.203 \| good
2025-10-22T14:00:00.000Z	18 \| good	0.87 \| good	3.332 \| good	18.509 \| good	0.814 \| good	5.208 \| good	0.201 \| good
2025-10-22T15:00:00.000Z	18 \| good	0.836 \| good	3.301 \| good	19.433 \| good	0.968 \| good	5.18 \| good	0.201 \| good
2025-10-22T16:00:00.000Z	16 \| good	0.838 \| good	3.35 \| good	16.769 \| good	0.974 \| good	5.355 \| good	0.201 \| good
2025-10-22T17:00:00.000Z	16 \| good	0.855 \| good	3.255 \| good	17.48 \| good	0.969 \| good	5.342 \| good	0.201 \| good
2025-10-22T18:00:00.000Z	14 \| good	1.076 \| good	3.894 \| good	14.717 \| good	0.896 \| good	4.702 \| good	0.194 \| good
2025-10-22T19:00:00.000Z	14 \| good	1.263 \| good	4.938 \| good	15.342 \| good	0.812 \| good	4.782 \| good	0.201 \| good
2025-10-22T20:00:00.000Z	14 \| good	1.277 \| good	4.561 \| good	14.665 \| good	0.891 \| good	4.563 \| good	0.286 \| good
2025-10-22T21:00:00.000Z	15 \| good	1.297 \| good	4.42 \| good	15.749 \| good	0.874 \| good	4.465 \| good	0.295 \| good
2025-10-22T22:00:00.000Z	17 \| good	1.364 \| good	4.489 \| good	17.841 \| good	0.954 \| good	4.439 \| good	0.294 \| good
2025-10-22T23:00:00.000Z	15 \| good	1.303 \| good	4.501 \| good	16.289 \| good	0.965 \| good	4.548 \| good	0.294 \| good
2025-10-23T00:00:00.000Z	14 \| good	1.315 \| good	4.499 \| good	15.231 \| good	0.944 \| good	4.875 \| good	0.286 \| good
2025-10-23T01:00:00.000Z	14 \| good	1.403 \| good	5.013 \| good	14.743 \| good	0.874 \| good	4.725 \| good	0.196 \| good
2025-10-23T02:00:00.000Z	15 \| good	1.309 \| good	4.157 \| good	15.725 \| good	0.951 \| good	4.056 \| good	0.204 \| good
2025-10-23T03:00:00.000Z	15 \| good	1.193 \| good	3.998 \| good	15.981 \| good	0.887 \| good	3.893 \| good	0.204 \| good
2025-10-23T04:00:00.000Z	15 \| good	1.289 \| good	4.101 \| good	16.047 \| good	0.887 \| good	3.844 \| good	0.204 \| good
2025-10-23T05:00:00.000Z	14 \| good	1.237 \| good	4.247 \| good	15.211 \| good	0.903 \| good	3.813 \| good	0.21 \| good
2025-10-23T06:00:00.000Z	13 \| good	1.27 \| good	4.351 \| good	14.463 \| good	0.884 \| good	4.114 \| good	0.206 \| good
2025-10-23T07:00:00.000Z	13 \| good	1.268 \| good	4.392 \| good	13.597 \| good	0.892 \| good	4.154 \| good	0.205 \| good
2025-10-23T08:00:00.000Z	13 \| good	1.225 \| good	4.115 \| good	14.251 \| good	0.891 \| good	4.155 \| good	0.203 \| good
2025-10-23T09:00:00.000Z	13 \| good	1.228 \| good	4.165 \| good	13.768 \| good	0.876 \| good	3.952 \| good	0.199 \| good
2025-10-23T10:00:00.000Z	13 \| good	1.332 \| good	4.065 \| good	13.853 \| good	0.858 \| good	4.722 \| good	0.201 \| good
2025-10-23T11:00:00.000Z	12 \| good	1.432 \| good	4.161 \| good	13.013 \| good	1.026 \| good	4.736 \| good	0.295 \| good
2025-10-23T12:00:00.000Z	11 \| good	1.436 \| good	4.317 \| good	11.964 \| good	0.949 \| good	6.537 \| good	0.299 \| good
2025-10-23T13:00:00.000Z	11 \| good	1.438 \| good	4.422 \| good	12.379 \| good	0.971 \| good	6.621 \| good	0.3 \| good
2025-10-23T14:00:00.000Z	13 \| good	1.465 \| good	5.648 \| good	13.523 \| good	0.974 \| good	7.011 \| good	0.395 \| good
2025-10-23T15:00:00.000Z	12 \| good	1.395 \| good	5.372 \| good	13.049 \| good	0.983 \| good	5.93 \| good	0.289 \| good
2025-10-23T16:00:00.000Z	12 \| good	1.444 \| good	5.13 \| good	12.552 \| good	1.144 \| good	5.821 \| good	0.294 \| good
2025-10-23T17:00:00.000Z	16 \| good	1.325 \| good	5.161 \| good	17.25 \| good	1.027 \| good	6.029 \| good	0.292 \| good
2025-10-23T18:00:00.000Z	16 \| good	1.215 \| good	4.848 \| good	16.75 \| good	0.934 \| good	6.248 \| good	0.194 \| good
2025-10-23T19:00:00.000Z	17 \| good	1.248 \| good	4.831 \| good	17.794 \| good	0.882 \| good	6.675 \| good	0.286 \| good
2025-10-23T20:00:00.000Z	19 \| good	1.482 \| good	4.78 \| good	19.675 \| good	1.023 \| good	9.13 \| good	0.386 \| good
2025-10-23T21:00:00.000Z	19 \| good	1.617 \| good	5.1 \| good	21.352 \| good	1.161 \| good	7.773 \| good	0.377 \| good
2025-10-23T22:00:00.000Z	19 \| good	2.02 \| good	6.889 \| good	20.941 \| good	1.085 \| good	7.697 \| good	0.386 \| good
2025-10-23T23:00:00.000Z	20 \| good	2.093 \| good	6.84 \| good	21.834 \| good	0.997 \| good	7.823 \| good	0.377 \| good
2025-10-24T00:00:00.000Z	20 \| good	2.201 \| good	7.351 \| good	21.843 \| good	1.024 \| good	7.51 \| good	0.298 \| good
2025-10-24T01:00:00.000Z	21 \| good	2.568 \| good	8.232 \| good	23.351 \| good	1.216 \| good	9.889 \| good	0.291 \| good
2025-10-24T02:00:00.000Z	19 \| good	2.762 \| good	8.837 \| good	20.995 \| good	1.073 \| good	10.374 \| good	0.384 \| good
2025-10-24T03:00:00.000Z	14 \| good	0.98 \| good	3.584 \| good	15.256 \| good	0.506 \| good	4.112 \| good	0.135 \| good
2025-10-24T04:00:00.000Z	16 \| good	3.153 \| good	11.152 \| good	10.946 \| good	0.971 \| good	9.168 \| good	0.203 \| good
2025-10-24T05:00:00.000Z	16 \| good	3.101 \| good	10.783 \| good	8.061 \| good	1.009 \| good	8.021 \| good	0.207 \| good
2025-10-24T06:00:00.000Z	16 \| good	2.967 \| good	10.215 \| good	7.964 \| good	1.012 \| good	7.168 \| good	0.208 \| good
2025-10-24T07:00:00.000Z	16 \| good	2.961 \| good	9.936 \| good	8.7 \| good	1.054 \| good	7.115 \| good	0.21 \| good
2025-10-24T08:00:00.000Z	16 \| good	2.891 \| good	9.538 \| good	9.44 \| good	0.904 \| good	6.968 \| good	0.21 \| good
2025-10-24T09:00:00.000Z	16 \| good	2.973 \| good	10.097 \| good	11.213 \| good	0.819 \| good	7.845 \| good	0.206 \| good
2025-10-24T10:00:00.000Z	16 \| good	3.166 \| good	11.342 \| good	9.885 \| good	0.876 \| good	11.445 \| good	0.301 \| good
2025-10-24T10:00:00.000Z	16 \| good	3.01 \| good	8.655 \| good	9.48 \| good	0.888 \| good	12.608 \| good	0.301 \| good
2025-10-24T09:00:00.000Z	9 \| good	0.859 \| good	3.133 \| good	10.08 \| good	0.645 \| good	3.33 \| good	0.129 \| good
2025-10-24T10:00:00.000Z	11 \| good	2.186 \| good	8.997 \| good	11.05 \| good	0.71 \| good	3.798 \| good	0.132 \| good
2025-10-24T11:00:00.000Z	11 \| good	2.463 \| good	9.981 \| good	8.674 \| good	0.775 \| good	4.266 \| good	0.135 \| good
2025-10-24T12:00:00.000Z	16 \| good	3.246 \| good	13.809 \| good	4.299 \| good	0.84 \| good	4.734 \| good	0.137 \| good
2025-10-24T13:00:00.000Z	16 \| good	3.215 \| good	13.866 \| good	7.232 \| good	0.933 \| good	4.384 \| good	0.141 \| good
2025-10-24T14:00:00.000Z	16 \| good	2.85 \| good	11.997 \| good	13.995 \| good	1.026 \| good	4.034 \| good	0.144 \| good
2025-10-24T15:00:00.000Z	16 \| good	2.673 \| good	10.887 \| good	16.705 \| good	1.118 \| good	3.684 \| good	0.148 \| good
2025-10-24T16:00:00.000Z	19 \| good	2.753 \| good	11.218 \| good	20.742 \| good	0.932 \| good	2.972 \| good	0.139 \| good
2025-10-24T17:00:00.000Z	21 \| good	2.91 \| good	11.927 \| good	23.234 \| good	0.746 \| good	2.259 \| good	0.129 \| good
2025-10-24T18:00:00.000Z	23 \| good	2.823 \| good	11.768 \| good	25.02 \| good	0.561 \| good	1.547 \| good	0.12 \| good
2025-10-24T19:00:00.000Z	23 \| good	3.418 \| good	14.998 \| good	24.924 \| good	0.58 \| good	1.685 \| good	0.121 \| good
2025-10-24T20:00:00.000Z	27 \| good	4.506 \| good	19.679 \| good	21.089 \| good	0.599 \| good	1.824 \| good	0.121 \| good
2025-10-24T21:00:00.000Z	22 \| good	3.967 \| good	17.073 \| good	22.831 \| good	0.618 \| good	1.962 \| good	0.122 \| good
2025-10-24T22:00:00.000Z	38 \| good	6.869 \| good	30.72 \| good	21.52 \| good	0.718 \| good	6.411 \| good	0.159 \| good
2025-10-24T23:00:00.000Z	49 \| good	8.937 \| good	40.046 \| good	12.675 \| good	0.817 \| good	10.86 \| good	0.197 \| good
2025-10-25T00:00:00.000Z	52 \| moderate	10.479 \| good	46.462 \| good	7.945 \| good	0.917 \| good	15.308 \| good	0.235 \| good
2025-10-25T01:00:00.000Z	33 \| good	6.35 \| good	27.914 \| good	12.609 \| good	1.017 \| good	15.519 \| good	0.254 \| good
2025-10-25T02:00:00.000Z	33 \| good	5.563 \| good	24.369 \| good	15.042 \| good	1.117 \| good	15.73 \| good	0.273 \| good
2025-10-25T03:00:00.000Z	33 \| good	6.33 \| good	27.919 \| good	14.029 \| good	1.217 \| good	15.941 \| good	0.292 \| good
2025-10-25T04:00:00.000Z	49 \| good	8.904 \| good	39.143 \| good	12.663 \| good	1.19 \| good	15.606 \| good	0.275 \| good
2025-10-25T05:00:00.000Z	52 \| moderate	9.9 \| good	44.076 \| good	13.28 \| good	1.162 \| good	15.271 \| good	0.258 \| good
2025-10-25T06:00:00.000Z	52 \| moderate	10.23 \| good	45.234 \| good	15.274 \| good	1.135 \| good	14.936 \| good	0.241 \| good
2025-10-25T07:00:00.000Z	44 \| good	8.406 \| good	36.964 \| good	14.079 \| good	1.15 \| good	14.052 \| good	0.225 \| good
2025-10-25T08:00:00.000Z	27 \| good	5.371 \| good	23.011 \| good	16.882 \| good	1.165 \| good	13.167 \| good	0.209 \| good
2025-10-25T09:00:00.000Z	22 \| good	4.239 \| good	18.788 \| good	18.581 \| good	1.18 \| good	12.283 \| good	0.194 \| good
2025-10-25T10:00:00.000Z	27 \| good	5.487 \| good	23.89 \| good	16.781 \| good	1.235 \| good	12.389 \| good	0.194 \| good
2025-10-25T11:00:00.000Z	27 \| good	5.3 \| good	22.903 \| good	16.528 \| good	1.29 \| good	12.495 \| good	0.193 \| good
2025-10-25T12:00:00.000Z	27 \| good	4.913 \| good	21.09 \| good	16.848 \| good	1.344 \| good	12.601 \| good	0.193 \| good
2025-10-25T13:00:00.000Z	27 \| good	5.365 \| good	23.044 \| good	15.414 \| good	1.375 \| good	11 \| good	0.192 \| good
2025-10-25T14:00:00.000Z	27 \| good	5.264 \| good	22.83 \| good	16.793 \| good	1.405 \| good	9.398 \| good	0.192 \| good
2025-10-25T15:00:00.000Z	22 \| good	3.558 \| good	15.865 \| good	24.234 \| good	1.435 \| good	7.796 \| good	0.191 \| good
2025-10-25T16:00:00.000Z	26 \| good	3.74 \| good	16.196 \| good	28.172 \| good	1.197 \| good	5.989 \| good	0.167 \| good
2025-10-25T17:00:00.000Z	28 \| good	3.416 \| good	14.98 \| good	30.221 \| good	0.96 \| good	4.181 \| good	0.144 \| good
2025-10-25T18:00:00.000Z	30 \| good	3.623 \| good	16.073 \| good	31.664 \| good	0.722 \| good	2.373 \| good	0.12 \| good
2025-10-25T19:00:00.000Z	29 \| good	4.408 \| good	18.992 \| good	31.487 \| good	0.66 \| good	2.246 \| good	0.119 \| good
2025-10-25T20:00:00.000Z	38 \| good	7.193 \| good	31.875 \| good	30.903 \| good	0.597 \| good	2.118 \| good	0.117 \| good
2025-10-25T21:00:00.000Z	38 \| good	7.18 \| good	31.922 \| good	29.083 \| good	0.534 \| good	1.99 \| good	0.116 \| good
2025-10-25T22:00:00.000Z	38 \| good	6.65 \| good	29.722 \| good	29.419 \| good	0.52 \| good	3.114 \| good	0.124 \| good
2025-10-25T23:00:00.000Z	44 \| good	7.536 \| good	32.965 \| good	26.462 \| good	0.507 \| good	4.237 \| good	0.133 \| good
2025-10-26T00:00:00.000Z	38 \| good	7.492 \| good	32.789 \| good	25.921 \| good	0.493 \| good	5.361 \| good	0.141 \| good
2025-10-26T01:00:00.000Z	33 \| good	5.603 \| good	24.187 \| good	28.316 \| good	0.52 \| good	5.467 \| good	0.142 \| good
2025-10-26T02:00:00.000Z	33 \| good	5.735 \| good	24.906 \| good	29.325 \| good	0.547 \| good	5.573 \| good	0.144 \| good
2025-10-26T03:00:00.000Z	33 \| good	6.084 \| good	26.843 \| good	28.476 \| good	0.574 \| good	5.679 \| good	0.145 \| good
2025-10-26T04:00:00.000Z	44 \| good	8.499 \| good	37.068 \| good	27.207 \| good	0.607 \| good	5.605 \| good	0.146 \| good
2025-10-26T05:00:00.000Z	49 \| good	8.82 \| good	38.807 \| good	30.459 \| good	0.639 \| good	5.531 \| good	0.147 \| good
2025-10-26T06:00:00.000Z	38 \| good	6.79 \| good	7.029 \| good	31.892 \| good	0.673 \| good	5.435 \| good	0.148 \| good
2025-10-26T07:00:00.000Z	52 \| moderate	9.557 \| good	42.202 \| good	28.61 \| good	0.711 \| good	5.075 \| good	0.147 \| good
2025-10-26T08:00:00.000Z	49 \| good	9.145 \| good	40.832 \| good	26.882 \| good	0.749 \| good	4.692 \| good	0.146 \| good

Real-time air quality index in Greenfield, Wisconsin today

Common air pollutants in Greenfield, Wisconsin

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Greenfield, Wisconsin air quality forecast and history

Empower business decisions with accurate air quality data

Greenfield, Wisconsin air quality map: Real-time AQI near you

Air quality in nearby cities

Greendale, Wisconsin

West Allis, Wisconsin

New Berlin, Wisconsin

Franklin, Wisconsin

Wauwatosa, Wisconsin

Milwaukee, Wisconsin

How accurate is Wisconsin, USA air quality data?

Air quality levels in US

Frequently asked questions

How frequently is the air quality data for Greenfield, Wisconsin updated?

When did Greenfield, Wisconsin experience the worst air quality in the last 24 hours?

When did Greenfield, Wisconsin have its best air quality in the last 24 hours?

What is the real-time air quality index for Greenfield, Wisconsin?

Which pollutant is found most often in Greenfield, Wisconsin?

What can I do if the air quality in Greenfield, Wisconsin is poor?

What are the current PM2.5 levels in Greenfield, Wisconsin?

What are the current PM10 levels at Greenfield, Wisconsin?

What are the current carbon monoxide (CO) levels at Greenfield, Wisconsin?

What are the current sulfur dioxide (SO2) levels at Greenfield, Wisconsin?

What are the current ozone (O3) levels at Greenfield, Wisconsin?

What are the current nitrogen dioxide (NO2) levels at Greenfield, Wisconsin?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What are the current PM_2.5 levels in Greenfield, Wisconsin?

What are the current PM₁₀ levels at Greenfield, Wisconsin?

What are the current sulfur dioxide (SO₂) levels at Greenfield, Wisconsin?

What are the current ozone (O₃) levels at Greenfield, Wisconsin?

What are the current nitrogen dioxide (NO₂) levels at Greenfield, Wisconsin?