What is the current concentration of PM10 in Highland Town, Indiana?

The current PM10 concentration at Highland Town, Indiana is 12.835 μg/m3.

What is the current concentration of sulfur dioxide (SO2) in Highland Town, Indiana?

The current sulfur dioxide (SO2) concentration at Highland Town, Indiana is 0.651 ppb.

What is the current concentration of ozone (O3) in Highland Town, Indiana?

The current ozone (O3) concentration at Highland Town, Indiana is 4.836 ppm.

What is the current concentration of nitrogen dioxide (NO2) in Highland Town, Indiana?

The current nitrogen dioxide (NO2) concentration at Highland Town, Indiana is 10.274 ppb.

Highland Town, Indiana live air quality index now

Q: What is the current concentration of PM2.5 in Highland Town, Indiana?

The current PM2.5 concentration at Highland Town, Indiana is 3.053 μg/m3.

Stay updated with real-time air quality in Highland Town, 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

Highland Town, Indiana

Last updated: ... (Local time)

Major air pollutants in Highland Town, Indiana

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

4.52 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

19.94 μg/m³

155

255

425

605+

Ozone (O₃)

15.67 ppb

201

201+

Sulfur Dioxide (SO₂)

0.73 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

20.07 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.44 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Highland Town, Indiana

Get Live Pollen Counts

Highland Town, Indiana

Scroll To Air Quality Map

Track live Highland Town, Indiana air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-23T03:00:00.000Z	15 \| good	2.034 \| good	10.185 \| good	16.472 \| good	0.65 \| good	9.459 \| good	0.264 \| good
2025-10-23T04:00:00.000Z	16 \| good	2.063 \| good	9.295 \| good	17.213 \| good	0.65 \| good	9.591 \| good	0.264 \| good
2025-10-23T05:00:00.000Z	15 \| good	2.138 \| good	8.952 \| good	16.339 \| good	1.267 \| good	10.571 \| good	0.317 \| good
2025-10-23T06:00:00.000Z	11 \| good	2.086 \| good	8.883 \| good	11.902 \| good	0.822 \| good	11.427 \| good	0.28 \| good
2025-10-23T07:00:00.000Z	12 \| good	2.047 \| good	9.096 \| good	13.124 \| good	0.669 \| good	13.11 \| good	0.261 \| good
2025-10-23T08:00:00.000Z	12 \| good	2.04 \| good	8.119 \| good	11.569 \| good	1.076 \| good	12.982 \| good	0.242 \| good
2025-10-23T09:00:00.000Z	11 \| good	2.098 \| good	9.275 \| good	8.892 \| good	0.78 \| good	10.876 \| good	0.205 \| good
2025-10-23T10:00:00.000Z	11 \| good	2.384 \| good	10.69 \| good	6.067 \| good	0.582 \| good	11.164 \| good	0.224 \| good
2025-10-23T11:00:00.000Z	16 \| good	2.861 \| good	11.61 \| good	6.108 \| good	0.588 \| good	10.668 \| good	0.272 \| good
2025-10-23T12:00:00.000Z	16 \| good	3.193 \| good	13.689 \| good	4.73 \| good	0.641 \| good	10.43 \| good	0.31 \| good
2025-10-23T13:00:00.000Z	22 \| good	3.546 \| good	14.969 \| good	2.877 \| good	0.753 \| good	11.558 \| good	0.328 \| good
2025-10-23T14:00:00.000Z	22 \| good	4.138 \| good	17.962 \| good	3.282 \| good	0.808 \| good	12.174 \| good	0.396 \| good
2025-10-23T15:00:00.000Z	22 \| good	4.244 \| good	18.281 \| good	7.341 \| good	0.806 \| good	10.253 \| good	0.309 \| good
2025-10-23T16:00:00.000Z	22 \| good	4.114 \| good	18.274 \| good	8.177 \| good	1.603 \| good	9.438 \| good	0.257 \| good
2025-10-23T17:00:00.000Z	22 \| good	3.975 \| good	17.536 \| good	11.529 \| good	1.368 \| good	6.544 \| good	0.24 \| good
2025-10-23T18:00:00.000Z	22 \| good	3.543 \| good	14.918 \| good	13.007 \| good	0.968 \| good	5.066 \| good	0.23 \| good
2025-10-23T19:00:00.000Z	16 \| good	3.459 \| good	15.271 \| good	15.461 \| good	1.106 \| good	4.719 \| good	0.257 \| good
2025-10-23T20:00:00.000Z	17 \| good	3.41 \| good	14.576 \| good	17.93 \| good	0.99 \| good	4.366 \| good	0.284 \| good
2025-10-23T21:00:00.000Z	18 \| good	3.15 \| good	13.87 \| good	19.436 \| good	0.938 \| good	3.427 \| good	0.284 \| good
2025-10-23T22:00:00.000Z	19 \| good	2.875 \| good	12.292 \| good	20.717 \| good	0.919 \| good	3.798 \| good	0.284 \| good
2025-10-23T23:00:00.000Z	21 \| good	2.415 \| good	9.864 \| good	22.695 \| good	0.829 \| good	3.013 \| good	0.284 \| good
2025-10-24T00:00:00.000Z	21 \| good	2.46 \| good	10.072 \| good	23.289 \| good	0.988 \| good	7.557 \| good	0.274 \| good
2025-10-24T01:00:00.000Z	20 \| good	3.074 \| good	15.138 \| good	21.606 \| good	1.787 \| good	11.187 \| good	0.291 \| good
2025-10-24T02:00:00.000Z	16 \| good	3.46 \| good	16.531 \| good	17.319 \| good	1.256 \| good	15.549 \| good	0.336 \| good
2025-10-24T03:00:00.000Z	49 \| good	8.96 \| good	39.652 \| good	2.981 \| good	1.275 \| good	13.16 \| good	0.183 \| good
2025-10-24T04:00:00.000Z	22 \| good	3.933 \| good	17.212 \| good	9.34 \| good	1.385 \| good	21.302 \| good	0.333 \| good
2025-10-24T05:00:00.000Z	22 \| good	4.098 \| good	18.969 \| good	6.449 \| good	1.119 \| good	16.975 \| good	0.367 \| good
2025-10-24T06:00:00.000Z	22 \| good	4.201 \| good	18.213 \| good	4.452 \| good	1.166 \| good	16.914 \| good	0.384 \| good
2025-10-24T07:00:00.000Z	22 \| good	4 \| good	17.575 \| good	6.692 \| good	1.396 \| good	15.22 \| good	0.401 \| good
2025-10-24T08:00:00.000Z	22 \| good	3.928 \| good	17.822 \| good	6.871 \| good	1.39 \| good	14.197 \| good	0.367 \| good
2025-10-24T09:00:00.000Z	22 \| good	4.343 \| good	19.118 \| good	7.228 \| good	0.97 \| good	13.103 \| good	0.367 \| good
2025-10-24T10:00:00.000Z	27 \| good	4.61 \| good	20.664 \| good	5.344 \| good	1.242 \| good	16.61 \| good	0.377 \| good
2025-10-24T11:00:00.000Z	27 \| good	5.206 \| good	23.487 \| good	4.956 \| good	1.234 \| good	15.911 \| good	0.362 \| good
2025-10-24T12:00:00.000Z	27 \| good	5.372 \| good	23.518 \| good	5.412 \| good	1.145 \| good	14.519 \| good	0.41 \| good
2025-10-24T13:00:00.000Z	33 \| good	5.725 \| good	28.021 \| good	1.972 \| good	1.041 \| good	15.972 \| good	0.438 \| good
2025-10-24T14:00:00.000Z	33 \| good	5.748 \| good	24.902 \| good	2.583 \| good	1.265 \| good	17.984 \| good	0.603 \| good
2025-10-24T15:00:00.000Z	38 \| good	7.382 \| good	32.891 \| good	3.066 \| good	1.606 \| good	17.768 \| good	0.414 \| good
2025-10-24T16:00:00.000Z	38 \| good	7.386 \| good	31.475 \| good	5.152 \| good	3.843 \| good	15.914 \| good	0.188 \| good
2025-10-24T17:00:00.000Z	49 \| good	8.699 \| good	36.847 \| good	9.599 \| good	1.164 \| good	6.682 \| good	0.186 \| good
2025-10-24T18:00:00.000Z	33 \| good	6.104 \| good	27.038 \| good	13.593 \| good	0.89 \| good	2.754 \| good	0.257 \| good
2025-10-24T19:00:00.000Z	22 \| good	4.343 \| good	19.5 \| good	16.616 \| good	0.989 \| good	4.056 \| good	0.272 \| good
2025-10-24T20:00:00.000Z	22 \| good	4.27 \| good	18.998 \| good	17.697 \| good	0.785 \| good	4.179 \| good	0.274 \| good
2025-10-24T21:00:00.000Z	22 \| good	4.143 \| good	18.353 \| good	20.368 \| good	0.872 \| good	3.752 \| good	0.274 \| good
2025-10-24T22:00:00.000Z	22 \| good	4.139 \| good	18.095 \| good	23.682 \| good	1.118 \| good	6.752 \| good	0.247 \| good
2025-10-24T23:00:00.000Z	22 \| good	4.084 \| good	17.256 \| good	24.247 \| good	2.049 \| good	8.968 \| good	0.247 \| good
2025-10-25T00:00:00.000Z	22 \| good	3.897 \| good	16.414 \| good	24.277 \| good	2.015 \| good	11.958 \| good	0.281 \| good
2025-10-25T01:00:00.000Z	22 \| good	3.825 \| good	16.348 \| good	19.772 \| good	0.743 \| good	21.085 \| good	0.394 \| good
2025-10-25T02:00:00.000Z	22 \| good	4.324 \| good	19.02 \| good	15.9 \| good	0.688 \| good	20.02 \| good	0.438 \| good
2025-10-25T02:00:00.000Z	27 \| good	4.523 \| good	19.94 \| good	15.672 \| good	0.727 \| good	20.066 \| good	0.438 \| good
2025-10-23T13:00:00.000Z	16 \| good	3.39 \| good	14.772 \| good	7.194 \| good	1.131 \| good	5.574 \| good	0.147 \| good
2025-10-23T14:00:00.000Z	16 \| good	2.678 \| good	10.857 \| good	11.484 \| good	1.232 \| good	5.238 \| good	0.151 \| good
2025-10-23T15:00:00.000Z	16 \| good	2.088 \| good	8.644 \| good	17.049 \| good	1.332 \| good	4.902 \| good	0.155 \| good
2025-10-23T16:00:00.000Z	19 \| good	2.06 \| good	8.401 \| good	21.042 \| good	1.172 \| good	4.223 \| good	0.147 \| good
2025-10-23T17:00:00.000Z	22 \| good	2.443 \| good	10.043 \| good	24.114 \| good	1.011 \| good	3.545 \| good	0.139 \| good
2025-10-23T18:00:00.000Z	22 \| good	2.67 \| good	10.857 \| good	24.217 \| good	0.85 \| good	2.866 \| good	0.131 \| good
2025-10-23T19:00:00.000Z	23 \| good	3.54 \| good	15.532 \| good	25.343 \| good	0.817 \| good	2.858 \| good	0.13 \| good
2025-10-23T20:00:00.000Z	25 \| good	3.693 \| good	15.928 \| good	26.79 \| good	0.784 \| good	2.849 \| good	0.129 \| good
2025-10-23T21:00:00.000Z	24 \| good	2.998 \| good	12.584 \| good	26.262 \| good	0.751 \| good	2.84 \| good	0.128 \| good
2025-10-23T22:00:00.000Z	22 \| good	4.174 \| good	18.353 \| good	23.631 \| good	0.84 \| good	4.889 \| good	0.14 \| good
2025-10-23T23:00:00.000Z	33 \| good	6.41 \| good	28.246 \| good	16.682 \| good	0.929 \| good	6.938 \| good	0.152 \| good
2025-10-24T00:00:00.000Z	38 \| good	7.448 \| good	32.789 \| good	9.97 \| good	1.018 \| good	8.986 \| good	0.165 \| good
2025-10-24T01:00:00.000Z	44 \| good	7.534 \| good	33.315 \| good	6.81 \| good	1.11 \| good	10.283 \| good	0.17 \| good
2025-10-24T02:00:00.000Z	44 \| good	8.286 \| good	36.759 \| good	4.405 \| good	1.202 \| good	11.579 \| good	0.176 \| good
2025-10-24T03:00:00.000Z	44 \| good	7.851 \| good	34.528 \| good	4.143 \| good	1.294 \| good	12.876 \| good	0.181 \| good
2025-10-24T04:00:00.000Z	44 \| good	8 \| good	35.163 \| good	4.422 \| good	1.305 \| good	12.814 \| good	0.181 \| good
2025-10-24T05:00:00.000Z	38 \| good	7.195 \| good	31.684 \| good	4.046 \| good	1.317 \| good	12.752 \| good	0.18 \| good
2025-10-24T06:00:00.000Z	38 \| good	7.118 \| good	31.332 \| good	3.926 \| good	1.328 \| good	12.691 \| good	0.18 \| good
2025-10-24T07:00:00.000Z	38 \| good	6.9 \| good	30.745 \| good	3.298 \| good	1.32 \| good	11.857 \| good	0.175 \| good
2025-10-24T08:00:00.000Z	38 \| good	6.811 \| good	30.169 \| good	3.401 \| good	1.312 \| good	11.024 \| good	0.17 \| good
2025-10-24T09:00:00.000Z	33 \| good	5.803 \| good	25.396 \| good	6.353 \| good	1.305 \| good	10.191 \| good	0.165 \| good
2025-10-24T10:00:00.000Z	27 \| good	5.311 \| good	22.973 \| good	7.36 \| good	1.339 \| good	10.528 \| good	0.167 \| good
2025-10-24T11:00:00.000Z	38 \| good	6.839 \| good	30.203 \| good	4.319 \| good	1.372 \| good	10.864 \| good	0.169 \| good
2025-10-24T12:00:00.000Z	44 \| good	7.734 \| good	33.999 \| good	2.916 \| good	1.406 \| good	11.201 \| good	0.171 \| good
2025-10-24T13:00:00.000Z	38 \| good	7.36 \| good	32.187 \| good	7.509 \| good	1.589 \| good	9.828 \| good	0.174 \| good
2025-10-24T14:00:00.000Z	33 \| good	5.548 \| good	23.801 \| good	12.375 \| good	1.771 \| good	8.456 \| good	0.177 \| good
2025-10-24T15:00:00.000Z	27 \| good	5.039 \| good	21.89 \| good	12.897 \| good	1.954 \| good	7.083 \| good	0.18 \| good
2025-10-24T16:00:00.000Z	33 \| good	5.522 \| good	23.86 \| good	15.52 \| good	1.736 \| good	5.779 \| good	0.166 \| good
2025-10-24T17:00:00.000Z	33 \| good	6.388 \| good	28.119 \| good	18.635 \| good	1.517 \| good	4.474 \| good	0.152 \| good
2025-10-24T18:00:00.000Z	33 \| good	6.344 \| good	28.217 \| good	19.714 \| good	1.299 \| good	3.17 \| good	0.138 \| good
2025-10-24T19:00:00.000Z	44 \| good	7.743 \| good	34.073 \| good	21.807 \| good	1.359 \| good	3.444 \| good	0.139 \| good
2025-10-24T20:00:00.000Z	38 \| good	7.134 \| good	31.574 \| good	22.543 \| good	1.419 \| good	3.718 \| good	0.141 \| good
2025-10-24T21:00:00.000Z	38 \| good	7.092 \| good	31.265 \| good	23.632 \| good	1.479 \| good	3.992 \| good	0.143 \| good
2025-10-24T22:00:00.000Z	44 \| good	8.306 \| good	36.385 \| good	18.702 \| good	1.576 \| good	8.768 \| good	0.181 \| good
2025-10-24T23:00:00.000Z	49 \| good	8.894 \| good	39.306 \| good	12.312 \| good	1.673 \| good	13.543 \| good	0.219 \| good
2025-10-25T00:00:00.000Z	49 \| good	9.023 \| good	39.835 \| good	9.575 \| good	1.769 \| good	18.318 \| good	0.257 \| good
2025-10-25T01:00:00.000Z	52 \| moderate	9.712 \| good	43.02 \| good	9.993 \| good	1.818 \| good	17.996 \| good	0.244 \| good
2025-10-25T02:00:00.000Z	52 \| moderate	10.168 \| good	44.938 \| good	10.134 \| good	1.867 \| good	17.673 \| good	0.232 \| good
2025-10-25T03:00:00.000Z	49 \| good	8.634 \| good	38.034 \| good	10.978 \| good	1.916 \| good	17.351 \| good	0.219 \| good
2025-10-25T04:00:00.000Z	49 \| good	9.232 \| good	40.925 \| good	8.3 \| good	1.878 \| good	15.874 \| good	0.213 \| good
2025-10-25T05:00:00.000Z	49 \| good	8.872 \| good	39.685 \| good	7.736 \| good	1.841 \| good	14.397 \| good	0.208 \| good
2025-10-25T06:00:00.000Z	52 \| moderate	9.697 \| good	9.914 \| good	19.206 \| good	1.828 \| good	13.109 \| good	0.203 \| good
2025-10-25T07:00:00.000Z	38 \| good	6.73 \| good	29.448 \| good	8.672 \| good	1.824 \| good	11.977 \| good	0.198 \| good
2025-10-25T08:00:00.000Z	27 \| good	5.492 \| good	23.816 \| good	6.842 \| good	1.845 \| good	11.033 \| good	0.193 \| good
2025-10-25T09:00:00.000Z	22 \| good	3.848 \| good	16.652 \| good	5.541 \| good	1.866 \| good	10.089 \| good	0.189 \| good
2025-10-25T10:00:00.000Z	27 \| good	4.621 \| good	20.072 \| good	6.677 \| good	1.854 \| good	10.851 \| good	0.193 \| good
2025-10-25T11:00:00.000Z	27 \| good	4.582 \| good	20.219 \| good	5.711 \| good	1.842 \| good	11.613 \| good	0.197 \| good
2025-10-25T12:00:00.000Z	44 \| good	8.216 \| good	8.377 \| good	15.106 \| good	1.849 \| good	12.453 \| good	0.201 \| good

Highland town

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Highland Town, Indiana air quality map: Track AQI near you

0.27ppm

How accurate is Indiana, USA air quality data?

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

Source: Ambee Data Sources

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Frequently asked questions

How often is the air quality data for Highland Town, Indiana updated?

The air quality for Highland Town, Indiana is updated every hour.

When was the worst air quality at Highland Town, Indiana in the last 24 hrs?

The worst air quality in Highland Town, Indiana in the last 24 hours was observed at 12:00:00 on 2025-10-22.

When was the best air quality at Highland Town, Indiana in the last 24 hrs?

In the last 24 hrs, the best air quality in Highland Town, Indiana was observed at 10:00:00 on 2025-10-23.

What is the current air quality in Highland Town, Indiana?

The current air quality in Highland Town, Indiana is 16, categorized as Good based on real-time data.

What pollutant is the most common in Highland Town, Indiana?

The most common pollutant in Highland Town, Indiana is PM2.5.

What should I do if the air quality in Highland Town, Indiana is poor?

If the air quality in Highland Town, Indiana is poor, consider staying indoors and wearing a mask to protect yourself.

What is the current concentration of PM_2.5 in Highland Town, Indiana?

The current PM_2.5 concentration at Highland Town, Indiana is 3.053 μg/m³.

What is the current concentration of PM₁₀ in Highland Town, Indiana?

The current PM₁₀ concentration at Highland Town, Indiana is 12.835 μg/m³.

What is the current concentration of carbon monoxide (CO) in Highland Town, Indiana?

The current carbon monoxide (CO) concentration at Highland Town, Indiana is 0.31 ppm.

What is the current concentration of sulfur dioxide (SO₂) in Highland Town, Indiana?

The current sulfur dioxide (SO₂) concentration at Highland Town, Indiana is 0.651 ppb.

What is the current concentration of ozone (O₃) in Highland Town, Indiana?

The current ozone (O₃) concentration at Highland Town, Indiana is 4.836 ppm.

What is the current concentration of nitrogen dioxide (NO₂) in Highland Town, Indiana?

The current nitrogen dioxide (NO₂) concentration at Highland Town, Indiana is 10.274 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-23T03:00:00.000Z	15 \| good	2.034 \| good	10.185 \| good	16.472 \| good	0.65 \| good	9.459 \| good	0.264 \| good
2025-10-23T04:00:00.000Z	16 \| good	2.063 \| good	9.295 \| good	17.213 \| good	0.65 \| good	9.591 \| good	0.264 \| good
2025-10-23T05:00:00.000Z	15 \| good	2.138 \| good	8.952 \| good	16.339 \| good	1.267 \| good	10.571 \| good	0.317 \| good
2025-10-23T06:00:00.000Z	11 \| good	2.086 \| good	8.883 \| good	11.902 \| good	0.822 \| good	11.427 \| good	0.28 \| good
2025-10-23T07:00:00.000Z	12 \| good	2.047 \| good	9.096 \| good	13.124 \| good	0.669 \| good	13.11 \| good	0.261 \| good
2025-10-23T08:00:00.000Z	12 \| good	2.04 \| good	8.119 \| good	11.569 \| good	1.076 \| good	12.982 \| good	0.242 \| good
2025-10-23T09:00:00.000Z	11 \| good	2.098 \| good	9.275 \| good	8.892 \| good	0.78 \| good	10.876 \| good	0.205 \| good
2025-10-23T10:00:00.000Z	11 \| good	2.384 \| good	10.69 \| good	6.067 \| good	0.582 \| good	11.164 \| good	0.224 \| good
2025-10-23T11:00:00.000Z	16 \| good	2.861 \| good	11.61 \| good	6.108 \| good	0.588 \| good	10.668 \| good	0.272 \| good
2025-10-23T12:00:00.000Z	16 \| good	3.193 \| good	13.689 \| good	4.73 \| good	0.641 \| good	10.43 \| good	0.31 \| good
2025-10-23T13:00:00.000Z	22 \| good	3.546 \| good	14.969 \| good	2.877 \| good	0.753 \| good	11.558 \| good	0.328 \| good
2025-10-23T14:00:00.000Z	22 \| good	4.138 \| good	17.962 \| good	3.282 \| good	0.808 \| good	12.174 \| good	0.396 \| good
2025-10-23T15:00:00.000Z	22 \| good	4.244 \| good	18.281 \| good	7.341 \| good	0.806 \| good	10.253 \| good	0.309 \| good
2025-10-23T16:00:00.000Z	22 \| good	4.114 \| good	18.274 \| good	8.177 \| good	1.603 \| good	9.438 \| good	0.257 \| good
2025-10-23T17:00:00.000Z	22 \| good	3.975 \| good	17.536 \| good	11.529 \| good	1.368 \| good	6.544 \| good	0.24 \| good
2025-10-23T18:00:00.000Z	22 \| good	3.543 \| good	14.918 \| good	13.007 \| good	0.968 \| good	5.066 \| good	0.23 \| good
2025-10-23T19:00:00.000Z	16 \| good	3.459 \| good	15.271 \| good	15.461 \| good	1.106 \| good	4.719 \| good	0.257 \| good
2025-10-23T20:00:00.000Z	17 \| good	3.41 \| good	14.576 \| good	17.93 \| good	0.99 \| good	4.366 \| good	0.284 \| good
2025-10-23T21:00:00.000Z	18 \| good	3.15 \| good	13.87 \| good	19.436 \| good	0.938 \| good	3.427 \| good	0.284 \| good
2025-10-23T22:00:00.000Z	19 \| good	2.875 \| good	12.292 \| good	20.717 \| good	0.919 \| good	3.798 \| good	0.284 \| good
2025-10-23T23:00:00.000Z	21 \| good	2.415 \| good	9.864 \| good	22.695 \| good	0.829 \| good	3.013 \| good	0.284 \| good
2025-10-24T00:00:00.000Z	21 \| good	2.46 \| good	10.072 \| good	23.289 \| good	0.988 \| good	7.557 \| good	0.274 \| good
2025-10-24T01:00:00.000Z	20 \| good	3.074 \| good	15.138 \| good	21.606 \| good	1.787 \| good	11.187 \| good	0.291 \| good
2025-10-24T02:00:00.000Z	16 \| good	3.46 \| good	16.531 \| good	17.319 \| good	1.256 \| good	15.549 \| good	0.336 \| good
2025-10-24T03:00:00.000Z	49 \| good	8.96 \| good	39.652 \| good	2.981 \| good	1.275 \| good	13.16 \| good	0.183 \| good
2025-10-24T04:00:00.000Z	22 \| good	3.933 \| good	17.212 \| good	9.34 \| good	1.385 \| good	21.302 \| good	0.333 \| good
2025-10-24T05:00:00.000Z	22 \| good	4.098 \| good	18.969 \| good	6.449 \| good	1.119 \| good	16.975 \| good	0.367 \| good
2025-10-24T06:00:00.000Z	22 \| good	4.201 \| good	18.213 \| good	4.452 \| good	1.166 \| good	16.914 \| good	0.384 \| good
2025-10-24T07:00:00.000Z	22 \| good	4 \| good	17.575 \| good	6.692 \| good	1.396 \| good	15.22 \| good	0.401 \| good
2025-10-24T08:00:00.000Z	22 \| good	3.928 \| good	17.822 \| good	6.871 \| good	1.39 \| good	14.197 \| good	0.367 \| good
2025-10-24T09:00:00.000Z	22 \| good	4.343 \| good	19.118 \| good	7.228 \| good	0.97 \| good	13.103 \| good	0.367 \| good
2025-10-24T10:00:00.000Z	27 \| good	4.61 \| good	20.664 \| good	5.344 \| good	1.242 \| good	16.61 \| good	0.377 \| good
2025-10-24T11:00:00.000Z	27 \| good	5.206 \| good	23.487 \| good	4.956 \| good	1.234 \| good	15.911 \| good	0.362 \| good
2025-10-24T12:00:00.000Z	27 \| good	5.372 \| good	23.518 \| good	5.412 \| good	1.145 \| good	14.519 \| good	0.41 \| good
2025-10-24T13:00:00.000Z	33 \| good	5.725 \| good	28.021 \| good	1.972 \| good	1.041 \| good	15.972 \| good	0.438 \| good
2025-10-24T14:00:00.000Z	33 \| good	5.748 \| good	24.902 \| good	2.583 \| good	1.265 \| good	17.984 \| good	0.603 \| good
2025-10-24T15:00:00.000Z	38 \| good	7.382 \| good	32.891 \| good	3.066 \| good	1.606 \| good	17.768 \| good	0.414 \| good
2025-10-24T16:00:00.000Z	38 \| good	7.386 \| good	31.475 \| good	5.152 \| good	3.843 \| good	15.914 \| good	0.188 \| good
2025-10-24T17:00:00.000Z	49 \| good	8.699 \| good	36.847 \| good	9.599 \| good	1.164 \| good	6.682 \| good	0.186 \| good
2025-10-24T18:00:00.000Z	33 \| good	6.104 \| good	27.038 \| good	13.593 \| good	0.89 \| good	2.754 \| good	0.257 \| good
2025-10-24T19:00:00.000Z	22 \| good	4.343 \| good	19.5 \| good	16.616 \| good	0.989 \| good	4.056 \| good	0.272 \| good
2025-10-24T20:00:00.000Z	22 \| good	4.27 \| good	18.998 \| good	17.697 \| good	0.785 \| good	4.179 \| good	0.274 \| good
2025-10-24T21:00:00.000Z	22 \| good	4.143 \| good	18.353 \| good	20.368 \| good	0.872 \| good	3.752 \| good	0.274 \| good
2025-10-24T22:00:00.000Z	22 \| good	4.139 \| good	18.095 \| good	23.682 \| good	1.118 \| good	6.752 \| good	0.247 \| good
2025-10-24T23:00:00.000Z	22 \| good	4.084 \| good	17.256 \| good	24.247 \| good	2.049 \| good	8.968 \| good	0.247 \| good
2025-10-25T00:00:00.000Z	22 \| good	3.897 \| good	16.414 \| good	24.277 \| good	2.015 \| good	11.958 \| good	0.281 \| good
2025-10-25T01:00:00.000Z	22 \| good	3.825 \| good	16.348 \| good	19.772 \| good	0.743 \| good	21.085 \| good	0.394 \| good
2025-10-25T02:00:00.000Z	22 \| good	4.324 \| good	19.02 \| good	15.9 \| good	0.688 \| good	20.02 \| good	0.438 \| good
2025-10-25T02:00:00.000Z	27 \| good	4.523 \| good	19.94 \| good	15.672 \| good	0.727 \| good	20.066 \| good	0.438 \| good
2025-10-23T13:00:00.000Z	16 \| good	3.39 \| good	14.772 \| good	7.194 \| good	1.131 \| good	5.574 \| good	0.147 \| good
2025-10-23T14:00:00.000Z	16 \| good	2.678 \| good	10.857 \| good	11.484 \| good	1.232 \| good	5.238 \| good	0.151 \| good
2025-10-23T15:00:00.000Z	16 \| good	2.088 \| good	8.644 \| good	17.049 \| good	1.332 \| good	4.902 \| good	0.155 \| good
2025-10-23T16:00:00.000Z	19 \| good	2.06 \| good	8.401 \| good	21.042 \| good	1.172 \| good	4.223 \| good	0.147 \| good
2025-10-23T17:00:00.000Z	22 \| good	2.443 \| good	10.043 \| good	24.114 \| good	1.011 \| good	3.545 \| good	0.139 \| good
2025-10-23T18:00:00.000Z	22 \| good	2.67 \| good	10.857 \| good	24.217 \| good	0.85 \| good	2.866 \| good	0.131 \| good
2025-10-23T19:00:00.000Z	23 \| good	3.54 \| good	15.532 \| good	25.343 \| good	0.817 \| good	2.858 \| good	0.13 \| good
2025-10-23T20:00:00.000Z	25 \| good	3.693 \| good	15.928 \| good	26.79 \| good	0.784 \| good	2.849 \| good	0.129 \| good
2025-10-23T21:00:00.000Z	24 \| good	2.998 \| good	12.584 \| good	26.262 \| good	0.751 \| good	2.84 \| good	0.128 \| good
2025-10-23T22:00:00.000Z	22 \| good	4.174 \| good	18.353 \| good	23.631 \| good	0.84 \| good	4.889 \| good	0.14 \| good
2025-10-23T23:00:00.000Z	33 \| good	6.41 \| good	28.246 \| good	16.682 \| good	0.929 \| good	6.938 \| good	0.152 \| good
2025-10-24T00:00:00.000Z	38 \| good	7.448 \| good	32.789 \| good	9.97 \| good	1.018 \| good	8.986 \| good	0.165 \| good
2025-10-24T01:00:00.000Z	44 \| good	7.534 \| good	33.315 \| good	6.81 \| good	1.11 \| good	10.283 \| good	0.17 \| good
2025-10-24T02:00:00.000Z	44 \| good	8.286 \| good	36.759 \| good	4.405 \| good	1.202 \| good	11.579 \| good	0.176 \| good
2025-10-24T03:00:00.000Z	44 \| good	7.851 \| good	34.528 \| good	4.143 \| good	1.294 \| good	12.876 \| good	0.181 \| good
2025-10-24T04:00:00.000Z	44 \| good	8 \| good	35.163 \| good	4.422 \| good	1.305 \| good	12.814 \| good	0.181 \| good
2025-10-24T05:00:00.000Z	38 \| good	7.195 \| good	31.684 \| good	4.046 \| good	1.317 \| good	12.752 \| good	0.18 \| good
2025-10-24T06:00:00.000Z	38 \| good	7.118 \| good	31.332 \| good	3.926 \| good	1.328 \| good	12.691 \| good	0.18 \| good
2025-10-24T07:00:00.000Z	38 \| good	6.9 \| good	30.745 \| good	3.298 \| good	1.32 \| good	11.857 \| good	0.175 \| good
2025-10-24T08:00:00.000Z	38 \| good	6.811 \| good	30.169 \| good	3.401 \| good	1.312 \| good	11.024 \| good	0.17 \| good
2025-10-24T09:00:00.000Z	33 \| good	5.803 \| good	25.396 \| good	6.353 \| good	1.305 \| good	10.191 \| good	0.165 \| good
2025-10-24T10:00:00.000Z	27 \| good	5.311 \| good	22.973 \| good	7.36 \| good	1.339 \| good	10.528 \| good	0.167 \| good
2025-10-24T11:00:00.000Z	38 \| good	6.839 \| good	30.203 \| good	4.319 \| good	1.372 \| good	10.864 \| good	0.169 \| good
2025-10-24T12:00:00.000Z	44 \| good	7.734 \| good	33.999 \| good	2.916 \| good	1.406 \| good	11.201 \| good	0.171 \| good
2025-10-24T13:00:00.000Z	38 \| good	7.36 \| good	32.187 \| good	7.509 \| good	1.589 \| good	9.828 \| good	0.174 \| good
2025-10-24T14:00:00.000Z	33 \| good	5.548 \| good	23.801 \| good	12.375 \| good	1.771 \| good	8.456 \| good	0.177 \| good
2025-10-24T15:00:00.000Z	27 \| good	5.039 \| good	21.89 \| good	12.897 \| good	1.954 \| good	7.083 \| good	0.18 \| good
2025-10-24T16:00:00.000Z	33 \| good	5.522 \| good	23.86 \| good	15.52 \| good	1.736 \| good	5.779 \| good	0.166 \| good
2025-10-24T17:00:00.000Z	33 \| good	6.388 \| good	28.119 \| good	18.635 \| good	1.517 \| good	4.474 \| good	0.152 \| good
2025-10-24T18:00:00.000Z	33 \| good	6.344 \| good	28.217 \| good	19.714 \| good	1.299 \| good	3.17 \| good	0.138 \| good
2025-10-24T19:00:00.000Z	44 \| good	7.743 \| good	34.073 \| good	21.807 \| good	1.359 \| good	3.444 \| good	0.139 \| good
2025-10-24T20:00:00.000Z	38 \| good	7.134 \| good	31.574 \| good	22.543 \| good	1.419 \| good	3.718 \| good	0.141 \| good
2025-10-24T21:00:00.000Z	38 \| good	7.092 \| good	31.265 \| good	23.632 \| good	1.479 \| good	3.992 \| good	0.143 \| good
2025-10-24T22:00:00.000Z	44 \| good	8.306 \| good	36.385 \| good	18.702 \| good	1.576 \| good	8.768 \| good	0.181 \| good
2025-10-24T23:00:00.000Z	49 \| good	8.894 \| good	39.306 \| good	12.312 \| good	1.673 \| good	13.543 \| good	0.219 \| good
2025-10-25T00:00:00.000Z	49 \| good	9.023 \| good	39.835 \| good	9.575 \| good	1.769 \| good	18.318 \| good	0.257 \| good
2025-10-25T01:00:00.000Z	52 \| moderate	9.712 \| good	43.02 \| good	9.993 \| good	1.818 \| good	17.996 \| good	0.244 \| good
2025-10-25T02:00:00.000Z	52 \| moderate	10.168 \| good	44.938 \| good	10.134 \| good	1.867 \| good	17.673 \| good	0.232 \| good
2025-10-25T03:00:00.000Z	49 \| good	8.634 \| good	38.034 \| good	10.978 \| good	1.916 \| good	17.351 \| good	0.219 \| good
2025-10-25T04:00:00.000Z	49 \| good	9.232 \| good	40.925 \| good	8.3 \| good	1.878 \| good	15.874 \| good	0.213 \| good
2025-10-25T05:00:00.000Z	49 \| good	8.872 \| good	39.685 \| good	7.736 \| good	1.841 \| good	14.397 \| good	0.208 \| good
2025-10-25T06:00:00.000Z	52 \| moderate	9.697 \| good	9.914 \| good	19.206 \| good	1.828 \| good	13.109 \| good	0.203 \| good
2025-10-25T07:00:00.000Z	38 \| good	6.73 \| good	29.448 \| good	8.672 \| good	1.824 \| good	11.977 \| good	0.198 \| good
2025-10-25T08:00:00.000Z	27 \| good	5.492 \| good	23.816 \| good	6.842 \| good	1.845 \| good	11.033 \| good	0.193 \| good
2025-10-25T09:00:00.000Z	22 \| good	3.848 \| good	16.652 \| good	5.541 \| good	1.866 \| good	10.089 \| good	0.189 \| good
2025-10-25T10:00:00.000Z	27 \| good	4.621 \| good	20.072 \| good	6.677 \| good	1.854 \| good	10.851 \| good	0.193 \| good
2025-10-25T11:00:00.000Z	27 \| good	4.582 \| good	20.219 \| good	5.711 \| good	1.842 \| good	11.613 \| good	0.197 \| good
2025-10-25T12:00:00.000Z	44 \| good	8.216 \| good	8.377 \| good	15.106 \| good	1.849 \| good	12.453 \| good	0.201 \| good

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Major air pollutants in Highland Town, Indiana

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

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