What are the current PM10 levels at Whitestown, Indiana?

The current PM10 levels in Whitestown, Indiana are 22.046 μg/m3.

What are the current sulfur dioxide (SO2) levels at Whitestown, Indiana?

The current sulfur dioxide (SO2) levels in Whitestown, Indiana are 0.346 ppb.

What are the current ozone (O3) levels at Whitestown, Indiana?

The current ozone (O3) levels at Whitestown, Indiana is 35.63 ppm.

What are the current nitrogen dioxide (NO2) levels at Whitestown, Indiana?

The current nitrogen dioxide (NO2) levels at Whitestown, Indiana is 2.832 ppb.

Real-time air quality index in Whitestown, Indiana today

Q: What are the current PM2.5 levels in Whitestown, Indiana?

The measured PM2.5 levels in Whitestown, Indiana at present are 4.972 μg/m3.

Stay updated with real-time air quality in Whitestown, Indiana 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

Whitestown, Indiana

Last updated: ... (Local time)

Common air pollutants in Whitestown, Indiana

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

4.97 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

22.05 μg/m³

155

255

425

605+

Ozone (O₃)

35.63 ppb

201

201+

Sulfur Dioxide (SO₂)

0.35 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

2.83 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.16 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

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

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Whitestown, Indiana

Scroll To Air Quality Map

Track live Whitestown, Indiana air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-03-07T22:00:00.000Z	37 \| good	2.377 \| good	9.207 \| good	39.579 \| good	0.357 \| good	6.45 \| good	0.179 \| good
2026-03-07T23:00:00.000Z	37 \| good	2.652 \| good	13.655 \| good	40.414 \| good	0.544 \| good	4.493 \| good	0.139 \| good
2026-03-08T00:00:00.000Z	32 \| good	2.986 \| good	12.737 \| good	34.976 \| good	0.554 \| good	4.955 \| good	0.139 \| good
2026-03-08T01:00:00.000Z	24 \| good	3.225 \| good	12.299 \| good	26.114 \| good	0.401 \| good	6.076 \| good	0.179 \| good
2026-03-08T02:00:00.000Z	21 \| good	3.281 \| good	15.188 \| good	22.846 \| good	0.383 \| good	5.84 \| good	0.159 \| good
2026-03-08T03:00:00.000Z	29 \| good	2.867 \| good	11.887 \| good	30.777 \| good	0.363 \| good	2.523 \| good	0.183 \| good
2026-03-08T04:00:00.000Z	22 \| good	3.662 \| good	14.809 \| good	18.247 \| good	0.813 \| good	4.76 \| good	0.139 \| good
2026-03-08T05:00:00.000Z	22 \| good	4.296 \| good	19.131 \| good	17.474 \| good	0.8 \| good	3.683 \| good	0.119 \| good
2026-03-08T06:00:00.000Z	27 \| good	4.669 \| good	14.534 \| good	18.596 \| good	0.904 \| good	2.581 \| good	0.119 \| good
2026-03-08T07:00:00.000Z	27 \| good	4.593 \| good	14.055 \| good	20.011 \| good	0.739 \| good	3.975 \| good	0.136 \| good
2026-03-08T08:00:00.000Z	27 \| good	4.674 \| good	15.743 \| good	20.796 \| good	0.858 \| good	3.529 \| good	0.142 \| good
2026-03-08T09:00:00.000Z	27 \| good	4.733 \| good	15.492 \| good	22.431 \| good	0.454 \| good	18.412 \| good	0.142 \| good
2026-03-08T10:00:00.000Z	27 \| good	4.628 \| good	17.893 \| good	22.548 \| good	0.823 \| good	3.3 \| good	0.142 \| good
2026-03-08T11:00:00.000Z	27 \| good	4.741 \| good	16.659 \| good	22.138 \| good	0.481 \| good	1.989 \| good	0.159 \| good
2026-03-08T12:00:00.000Z	27 \| good	4.61 \| good	18.516 \| good	22.215 \| good	0.492 \| good	2.549 \| good	0.154 \| good
2026-03-08T13:00:00.000Z	27 \| good	4.919 \| good	16.631 \| good	24.237 \| good	0.499 \| good	2.786 \| good	0.152 \| good
2026-03-08T14:00:00.000Z	27 \| good	5.315 \| good	19.702 \| good	25.132 \| good	0.981 \| good	3.582 \| good	0.136 \| good
2026-03-08T15:00:00.000Z	33 \| good	5.875 \| good	22.884 \| good	26.193 \| good	0.664 \| good	3.628 \| good	0.136 \| good
2026-03-08T16:00:00.000Z	33 \| good	5.825 \| good	22.519 \| good	27.617 \| good	0.681 \| good	2.42 \| good	0.177 \| good
2026-03-08T17:00:00.000Z	33 \| good	5.506 \| good	22.614 \| good	29.343 \| good	0.364 \| good	2.024 \| good	0.136 \| good
2026-03-08T18:00:00.000Z	28 \| good	5.269 \| good	20.634 \| good	29.704 \| good	0.617 \| good	3.078 \| good	0.136 \| good
2026-03-08T19:00:00.000Z	28 \| good	5.195 \| good	20.39 \| good	30.078 \| good	0.651 \| good	3.011 \| good	0.177 \| good
2026-03-08T20:00:00.000Z	29 \| good	5.012 \| good	16.26 \| good	31.432 \| good	0.657 \| good	2.838 \| good	0.177 \| good
2026-03-08T21:00:00.000Z	30 \| good	4.175 \| good	14.87 \| good	32.484 \| good	0.96 \| good	3.126 \| good	0.177 \| good
2026-03-08T22:00:00.000Z	31 \| good	3.36 \| good	12.451 \| good	33.502 \| good	1.235 \| good	2.141 \| good	0.156 \| good
2026-03-08T23:00:00.000Z	31 \| good	3.051 \| good	12 \| good	34.46 \| good	0.909 \| good	2.974 \| good	0.177 \| good
2026-03-09T00:00:00.000Z	33 \| good	2.997 \| good	15.182 \| good	35.745 \| good	0.903 \| good	2.074 \| good	0.196 \| good
2026-03-09T01:00:00.000Z	32 \| good	3.394 \| good	13.547 \| good	34.786 \| good	0.493 \| good	2.481 \| good	0.217 \| good
2026-03-09T02:00:00.000Z	31 \| good	3.508 \| good	15.366 \| good	32.95 \| good	0.251 \| good	5.674 \| good	0.277 \| good
2026-03-09T03:00:00.000Z	24 \| good	3.623 \| good	15.74 \| good	26.213 \| good	5.502 \| good	4.36 \| good	0.179 \| good
2026-03-09T04:00:00.000Z	26 \| good	3.876 \| good	15.231 \| good	28.109 \| good	0.439 \| good	7.166 \| good	0.394 \| good
2026-03-09T05:00:00.000Z	24 \| good	4.349 \| good	15.269 \| good	26.395 \| good	0.786 \| good	5.388 \| good	0.375 \| good
2026-03-09T06:00:00.000Z	24 \| good	4.274 \| good	14.725 \| good	26.22 \| good	0.929 \| good	4.265 \| good	0.297 \| good
2026-03-09T07:00:00.000Z	26 \| good	4.07 \| good	14.648 \| good	27.756 \| good	0.996 \| good	4.529 \| good	0.239 \| good
2026-03-09T08:00:00.000Z	25 \| good	3.933 \| good	16.869 \| good	27.436 \| good	0.784 \| good	4.761 \| good	0.257 \| good
2026-03-09T09:00:00.000Z	24 \| good	4.115 \| good	16.86 \| good	26.232 \| good	0.525 \| good	12.143 \| good	0.236 \| good
2026-03-09T10:00:00.000Z	22 \| good	4.156 \| good	17.507 \| good	24.097 \| good	0.498 \| good	6.558 \| good	0.292 \| good
2026-03-09T11:00:00.000Z	22 \| good	4.189 \| good	17.604 \| good	22.064 \| good	0.574 \| good	9.429 \| good	0.337 \| good
2026-03-09T12:00:00.000Z	38 \| good	7.182 \| good	21.264 \| good	20.944 \| good	0.475 \| good	13.627 \| good	0.38 \| good
2026-03-09T13:00:00.000Z	33 \| good	5.709 \| good	29.124 \| good	20.306 \| good	0.389 \| good	13.929 \| good	0.349 \| good
2026-03-09T14:00:00.000Z	38 \| good	6.812 \| good	25.23 \| good	19.919 \| good	0.615 \| good	12.016 \| good	0.331 \| good
2026-03-09T15:00:00.000Z	38 \| good	7.397 \| good	28.075 \| good	21.964 \| good	0.618 \| good	11.267 \| good	0.235 \| good
2026-03-09T16:00:00.000Z	38 \| good	6.837 \| good	23.635 \| good	22.656 \| good	0.845 \| good	6.217 \| good	0.196 \| good
2026-03-09T17:00:00.000Z	33 \| good	6.311 \| good	24.152 \| good	25.702 \| good	1.039 \| good	5.148 \| good	0.139 \| good
2026-03-09T18:00:00.000Z	33 \| good	5.59 \| good	21.772 \| good	29.006 \| good	0.722 \| good	4.511 \| good	0.139 \| good
2026-03-09T19:00:00.000Z	30 \| good	5.416 \| good	24.949 \| good	32.498 \| good	0.525 \| good	3.569 \| good	0.139 \| good
2026-03-09T20:00:00.000Z	33 \| good	5.785 \| good	18.121 \| good	34.52 \| good	0.392 \| good	3.505 \| good	0.159 \| good
2026-03-09T21:00:00.000Z	33 \| good	4.972 \| good	22.046 \| good	35.63 \| good	0.346 \| good	2.832 \| good	0.159 \| good
2026-03-09T21:00:00.000Z	33 \| good	4.972 \| good	22.046 \| good	35.63 \| good	0.346 \| good	2.832 \| good	0.159 \| good
2026-03-09T22:00:00.000Z	38 \| good	6.643 \| good	29.553 \| good	40.306 \| good	1.788 \| good	1.739 \| good	0.148 \| good
2026-03-09T23:00:00.000Z	39 \| good	5.802 \| good	25.055 \| good	41.509 \| good	1.785 \| good	2.471 \| good	0.149 \| good
2026-03-10T00:00:00.000Z	31 \| good	3.662 \| good	15.998 \| good	33.884 \| good	1.783 \| good	3.203 \| good	0.15 \| good
2026-03-10T01:00:00.000Z	31 \| good	2.406 \| good	9.848 \| good	32.522 \| good	2.03 \| good	3.324 \| good	0.148 \| good
2026-03-10T02:00:00.000Z	27 \| good	4.965 \| good	21.364 \| good	26.318 \| good	2.278 \| good	3.445 \| good	0.146 \| good
2026-03-10T03:00:00.000Z	27 \| good	5.128 \| good	22.391 \| good	22.876 \| good	2.526 \| good	3.567 \| good	0.143 \| good
2026-03-10T04:00:00.000Z	33 \| good	6.084 \| good	26.96 \| good	22.149 \| good	2.567 \| good	3.352 \| good	0.14 \| good
2026-03-10T05:00:00.000Z	27 \| good	5.288 \| good	22.885 \| good	18.114 \| good	2.609 \| good	3.137 \| good	0.136 \| good
2026-03-10T06:00:00.000Z	27 \| good	5.239 \| good	22.885 \| good	17.87 \| good	2.65 \| good	2.922 \| good	0.132 \| good
2026-03-10T07:00:00.000Z	29 \| good	3.789 \| good	16.508 \| good	30.606 \| good	2.3 \| good	2.571 \| good	0.128 \| good
2026-03-10T08:00:00.000Z	27 \| good	3.818 \| good	16.536 \| good	29.497 \| good	1.95 \| good	2.219 \| good	0.123 \| good
2026-03-10T09:00:00.000Z	27 \| good	3.663 \| good	16 \| good	29.233 \| good	1.6 \| good	1.868 \| good	0.118 \| good
2026-03-10T10:00:00.000Z	38 \| good	6.586 \| good	29.308 \| good	24.171 \| good	1.485 \| good	1.914 \| good	0.117 \| good
2026-03-10T11:00:00.000Z	33 \| good	6.438 \| good	28.562 \| good	22.093 \| good	1.37 \| good	1.96 \| good	0.116 \| good
2026-03-10T12:00:00.000Z	33 \| good	6.473 \| good	28.591 \| good	20.522 \| good	1.255 \| good	2.006 \| good	0.115 \| good
2026-03-10T13:00:00.000Z	38 \| good	6.889 \| good	30.617 \| good	20.722 \| good	1.263 \| good	2.442 \| good	0.119 \| good
2026-03-10T14:00:00.000Z	38 \| good	6.642 \| good	29.59 \| good	20.652 \| good	1.271 \| good	2.879 \| good	0.123 \| good
2026-03-10T15:00:00.000Z	38 \| good	6.53 \| good	29.149 \| good	25.199 \| good	1.279 \| good	3.315 \| good	0.127 \| good
2026-03-10T16:00:00.000Z	38 \| good	6.775 \| good	30.122 \| good	27.588 \| good	1.21 \| good	2.65 \| good	0.125 \| good
2026-03-10T17:00:00.000Z	38 \| good	6.723 \| good	30.006 \| good	29.818 \| good	1.141 \| good	1.985 \| good	0.123 \| good
2026-03-10T18:00:00.000Z	38 \| good	7.06 \| good	31.226 \| good	32.511 \| good	1.072 \| good	1.32 \| good	0.12 \| good
2026-03-10T19:00:00.000Z	44 \| good	7.973 \| good	35.092 \| good	32.823 \| good	1.18 \| good	1.309 \| good	0.121 \| good
2026-03-10T20:00:00.000Z	49 \| good	9.363 \| good	41.447 \| good	31.105 \| good	1.287 \| good	1.298 \| good	0.122 \| good
2026-03-10T21:00:00.000Z	54 \| moderate	10.56 \| good	46.674 \| good	34.734 \| good	1.395 \| good	1.287 \| good	0.123 \| good
2026-03-10T22:00:00.000Z	56 \| moderate	11.656 \| good	51.979 \| good	32.042 \| good	1.666 \| good	1.957 \| good	0.127 \| good
2026-03-10T23:00:00.000Z	54 \| moderate	10.593 \| good	47.184 \| good	28.438 \| good	1.937 \| good	2.628 \| good	0.131 \| good
2026-03-11T00:00:00.000Z	31 \| good	5.224 \| good	22.813 \| good	32.869 \| good	2.208 \| good	3.298 \| good	0.134 \| good
2026-03-11T01:00:00.000Z	28 \| good	3.447 \| good	15.028 \| good	29.937 \| good	2.333 \| good	3.114 \| good	0.13 \| good
2026-03-11T02:00:00.000Z	25 \| good	3.967 \| good	17.414 \| good	26.656 \| good	2.459 \| good	2.93 \| good	0.127 \| good
2026-03-11T03:00:00.000Z	23 \| good	3.458 \| good	15.298 \| good	25.072 \| good	2.585 \| good	2.746 \| good	0.123 \| good
2026-03-11T04:00:00.000Z	22 \| good	3.735 \| good	16.028 \| good	24.481 \| good	2.32 \| good	2.498 \| good	0.119 \| good
2026-03-11T05:00:00.000Z	22 \| good	4.003 \| good	17.557 \| good	20.829 \| good	2.055 \| good	2.25 \| good	0.114 \| good
2026-03-11T06:00:00.000Z	44 \| good	7.903 \| good	8.074 \| good	30.51 \| good	1.795 \| good	2.011 \| good	0.11 \| good
2026-03-11T07:00:00.000Z	16 \| good	3.085 \| good	13.012 \| good	14.558 \| good	1.493 \| good	1.831 \| good	0.109 \| good
2026-03-11T08:00:00.000Z	19 \| good	1.453 \| good	5.827 \| good	19.692 \| good	1.197 \| good	1.661 \| good	0.107 \| good
2026-03-11T09:00:00.000Z	21 \| good	1.342 \| good	5.464 \| good	22.872 \| good	0.9 \| good	1.49 \| good	0.105 \| good
2026-03-11T10:00:00.000Z	33 \| good	5.882 \| good	25.929 \| good	24.992 \| good	0.86 \| good	1.506 \| good	0.106 \| good
2026-03-11T11:00:00.000Z	33 \| good	6.398 \| good	28.533 \| good	20.365 \| good	0.82 \| good	1.522 \| good	0.106 \| good
2026-03-11T12:00:00.000Z	44 \| good	7.811 \| good	8.004 \| good	31.046 \| good	0.773 \| good	1.545 \| good	0.107 \| good
2026-03-11T13:00:00.000Z	33 \| good	5.609 \| good	5.72 \| good	30.275 \| good	0.765 \| good	1.964 \| good	0.112 \| good
2026-03-11T14:00:00.000Z	28 \| good	3.302 \| good	3.345 \| good	29.505 \| good	0.756 \| good	2.382 \| good	0.117 \| good
2026-03-11T15:00:00.000Z	27 \| good	2.147 \| good	2.166 \| good	28.735 \| good	0.748 \| good	2.8 \| good	0.123 \| good
2026-03-11T16:00:00.000Z	25 \| good	1.664 \| good	1.683 \| good	27.461 \| good	0.885 \| good	2.708 \| good	0.12 \| good
2026-03-11T17:00:00.000Z	24 \| good	2.817 \| good	11.563 \| good	26.135 \| good	1.024 \| good	2.579 \| good	0.118 \| good
2026-03-11T18:00:00.000Z	23 \| good	3.465 \| good	3.56 \| good	24.913 \| good	1.16 \| good	2.523 \| good	0.116 \| good
2026-03-11T19:00:00.000Z	24 \| good	4.056 \| good	4.155 \| good	26.338 \| good	0.975 \| good	2.63 \| good	0.135 \| good
2026-03-11T20:00:00.000Z	26 \| good	1.759 \| good	1.747 \| good	27.764 \| good	0.79 \| good	2.737 \| good	0.155 \| good
2026-03-11T21:00:00.000Z	27 \| good	0.67 \| good	0.673 \| good	29.189 \| good	0.605 \| good	2.844 \| good	0.175 \| good

Whitestown

Empower business decisions with accurate air quality data

Whitestown, Indiana air quality map: Real-time AQI near you

0.16ppm

How accurate is Indiana, USA air quality data?

Air quality measurements for Indiana, 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 Whitestown, Indiana updated?

Air quality data for Whitestown, Indiana is updated on an hourly basis.

When did Whitestown, Indiana experience the worst air quality in the last 24 hours?

The worst air quality in Whitestown, Indiana was recorded at 04:00:00 on 2026-03-09.

When did Whitestown, Indiana have its best air quality in the last 24 hours?

The best air quality in Whitestown, Indiana was recorded at 11:00:00 on 2026-03-09.

What is the real-time air quality index for Whitestown, Indiana?

The real-time air quality index in Whitestown, Indiana is 33, currently categorized as Good.

Which pollutant is found most often in Whitestown, Indiana?

The most common pollutant in Whitestown, Indiana is O3.

What can I do if the air quality in Whitestown, Indiana is poor?

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

What are the current PM_2.5 levels in Whitestown, Indiana?

The measured PM_2.5 levels in Whitestown, Indiana at present are 4.972 μg/m³.

What are the current PM₁₀ levels at Whitestown, Indiana?

The current PM₁₀ levels in Whitestown, Indiana are 22.046 μg/m³.

What are the current carbon monoxide (CO) levels at Whitestown, Indiana?

The current carbon monoxide (CO) level in Whitestown, Indiana is 0.159 ppm.

What are the current sulfur dioxide (SO₂) levels at Whitestown, Indiana?

The current sulfur dioxide (SO₂) levels in Whitestown, Indiana are 0.346 ppb.

What are the current ozone (O₃) levels at Whitestown, Indiana?

The current ozone (O₃) levels at Whitestown, Indiana is 35.63 ppm.

What are the current nitrogen dioxide (NO₂) levels at Whitestown, Indiana?

The current nitrogen dioxide (NO₂) levels at Whitestown, Indiana is 2.832 ppb.

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