What is the current concentration of PM10 in Chesterton, Indiana?

The current PM10 concentration at Chesterton, Indiana is 11.168 μg/m3.

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

The current sulfur dioxide (SO2) concentration at Chesterton, Indiana is 0.768 ppb.

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

The current ozone (O3) concentration at Chesterton, Indiana is 21.111 ppm.

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

The current nitrogen dioxide (NO2) concentration at Chesterton, Indiana is 2.896 ppb.

Chesterton, Indiana live air quality index now

Name: Live air pollution levels in Chesterton, Indiana today
Creator: Ambee

Stay updated with real-time air quality in Chesterton, 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

Chesterton, Indiana

Last updated: ... (Local time)

Major air pollutants in Chesterton, Indiana

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

2.11 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

9.45 μg/m³

155

255

425

605+

Ozone (O₃)

20.48 ppb

201

201+

Sulfur Dioxide (SO₂)

0.48 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

3.17 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.20 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Chesterton, Indiana

Get Live Pollen Counts

Chesterton, Indiana

Scroll To Air Quality Map

Track live Chesterton, Indiana air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-20T06:00:00.000Z	27 \| good	4.566 \| good	18.501 \| good	18.304 \| good	0.985 \| good	10.617 \| good	0.2 \| good
2025-10-20T07:00:00.000Z	27 \| good	4.96 \| good	19.339 \| good	15.037 \| good	0.875 \| good	11.4 \| good	0.2 \| good
2025-10-20T08:00:00.000Z	27 \| good	4.659 \| good	19.24 \| good	15.604 \| good	0.82 \| good	9.204 \| good	0.2 \| good
2025-10-20T09:00:00.000Z	22 \| good	4.423 \| good	19.652 \| good	16.387 \| good	0.673 \| good	9.62 \| good	0.2 \| good
2025-10-20T10:00:00.000Z	22 \| good	4.093 \| good	17.187 \| good	14.146 \| good	0.644 \| good	12.695 \| good	0.219 \| good
2025-10-20T11:00:00.000Z	22 \| good	3.776 \| good	15.387 \| good	13.266 \| good	0.591 \| good	13.635 \| good	0.282 \| good
2025-10-20T12:00:00.000Z	22 \| good	3.607 \| good	15.375 \| good	12.075 \| good	0.626 \| good	14.265 \| good	0.438 \| good
2025-10-20T13:00:00.000Z	16 \| good	3.372 \| good	13.768 \| good	6.531 \| good	0.652 \| good	13.613 \| good	0.436 \| good
2025-10-20T14:00:00.000Z	22 \| good	3.54 \| good	16.887 \| good	7.751 \| good	0.751 \| good	13.089 \| good	0.558 \| good
2025-10-20T15:00:00.000Z	16 \| good	3.414 \| good	17.424 \| good	11.466 \| good	0.888 \| good	10.376 \| good	0.435 \| good
2025-10-20T16:00:00.000Z	22 \| good	3.757 \| good	15.533 \| good	15.747 \| good	0.847 \| good	8.478 \| good	0.28 \| good
2025-10-20T17:00:00.000Z	19 \| good	3.376 \| good	15.13 \| good	20.6 \| good	0.75 \| good	6.152 \| good	0.219 \| good
2025-10-20T18:00:00.000Z	22 \| good	3.011 \| good	13.912 \| good	24.43 \| good	0.629 \| good	3.314 \| good	0.2 \| good
2025-10-20T19:00:00.000Z	26 \| good	2.501 \| good	11.861 \| good	28.378 \| good	0.487 \| good	2.689 \| good	0.2 \| good
2025-10-20T20:00:00.000Z	29 \| good	2.359 \| good	11.04 \| good	30.749 \| good	0.488 \| good	1.966 \| good	0.2 \| good
2025-10-20T21:00:00.000Z	31 \| good	2.121 \| good	9.805 \| good	32.624 \| good	0.51 \| good	2.157 \| good	0.2 \| good
2025-10-20T22:00:00.000Z	31 \| good	2.263 \| good	10.244 \| good	33.717 \| good	0.826 \| good	1.785 \| good	0.2 \| good
2025-10-20T23:00:00.000Z	31 \| good	2.317 \| good	10.818 \| good	33.811 \| good	0.674 \| good	2.34 \| good	0.2 \| good
2025-10-21T00:00:00.000Z	31 \| good	2.397 \| good	10.425 \| good	33.476 \| good	0.613 \| good	1.386 \| good	0.22 \| good
2025-10-21T01:00:00.000Z	30 \| good	2.502 \| good	11.196 \| good	32.426 \| good	0.702 \| good	2.896 \| good	0.22 \| good
2025-10-21T02:00:00.000Z	29 \| good	2.95 \| good	12.831 \| good	31.304 \| good	0.589 \| good	4.273 \| good	0.2 \| good
2025-10-21T03:00:00.000Z	27 \| good	4.915 \| good	21.599 \| good	18.92 \| good	2.79 \| good	3.287 \| good	0.15 \| good
2025-10-21T04:00:00.000Z	28 \| good	2.881 \| good	12.537 \| good	30.114 \| good	0.574 \| good	2.276 \| good	0.2 \| good
2025-10-21T05:00:00.000Z	27 \| good	2.932 \| good	15.011 \| good	29.251 \| good	0.545 \| good	2.257 \| good	0.2 \| good
2025-10-21T06:00:00.000Z	26 \| good	3.65 \| good	16.98 \| good	27.697 \| good	0.419 \| good	1.431 \| good	0.206 \| good
2025-10-21T07:00:00.000Z	25 \| good	4.001 \| good	18.081 \| good	26.98 \| good	0.36 \| good	1.27 \| good	0.206 \| good
2025-10-21T08:00:00.000Z	25 \| good	4.172 \| good	18.316 \| good	26.977 \| good	0.443 \| good	3.199 \| good	0.206 \| good
2025-10-21T09:00:00.000Z	24 \| good	3.411 \| good	15.128 \| good	25.746 \| good	0.516 \| good	6.496 \| good	0.185 \| good
2025-10-21T10:00:00.000Z	22 \| good	4.197 \| good	17.883 \| good	23.44 \| good	0.453 \| good	4.501 \| good	0.185 \| good
2025-10-21T11:00:00.000Z	22 \| good	3.869 \| good	16.282 \| good	21.556 \| good	0.705 \| good	5.824 \| good	0.228 \| good
2025-10-21T12:00:00.000Z	22 \| good	3.955 \| good	17.052 \| good	17.169 \| good	0.852 \| good	8.518 \| good	0.313 \| good
2025-10-21T13:00:00.000Z	16 \| good	3.484 \| good	15.124 \| good	14.887 \| good	0.914 \| good	8.944 \| good	0.37 \| good
2025-10-21T14:00:00.000Z	17 \| good	3.494 \| good	17.748 \| good	15.121 \| good	0.826 \| good	7.801 \| good	0.357 \| good
2025-10-21T15:00:00.000Z	22 \| good	3.979 \| good	17.102 \| good	17.814 \| good	0.892 \| good	4.936 \| good	0.199 \| good
2025-10-21T16:00:00.000Z	19 \| good	3.364 \| good	15.953 \| good	19.579 \| good	0.505 \| good	2.527 \| good	0.204 \| good
2025-10-21T17:00:00.000Z	22 \| good	3.756 \| good	16.933 \| good	19.133 \| good	0.853 \| good	3.442 \| good	0.224 \| good
2025-10-21T18:00:00.000Z	20 \| good	3.384 \| good	15.311 \| good	21.879 \| good	0.456 \| good	2.195 \| good	0.2 \| good
2025-10-21T19:00:00.000Z	22 \| good	3.29 \| good	15.82 \| good	24.182 \| good	0.766 \| good	3.379 \| good	0.232 \| good
2025-10-21T20:00:00.000Z	22 \| good	2.319 \| good	10.843 \| good	23.997 \| good	0.86 \| good	3.379 \| good	0.251 \| good
2025-10-21T21:00:00.000Z	23 \| good	2.498 \| good	11.77 \| good	24.842 \| good	0.818 \| good	1.865 \| good	0.243 \| good
2025-10-21T22:00:00.000Z	22 \| good	3.166 \| good	13.515 \| good	23.767 \| good	0.829 \| good	2.596 \| good	0.243 \| good
2025-10-21T23:00:00.000Z	20 \| good	3.011 \| good	13.091 \| good	21.932 \| good	0.782 \| good	2.001 \| good	0.243 \| good
2025-10-22T00:00:00.000Z	22 \| good	3.852 \| good	16.711 \| good	21.045 \| good	0.716 \| good	2.667 \| good	0.243 \| good
2025-10-22T01:00:00.000Z	17 \| good	3.479 \| good	14.315 \| good	18.197 \| good	0.741 \| good	3.245 \| good	0.219 \| good
2025-10-22T02:00:00.000Z	22 \| good	3.719 \| good	13.931 \| good	20.063 \| good	0.711 \| good	2.428 \| good	0.219 \| good
2025-10-22T03:00:00.000Z	20 \| good	2.221 \| good	8.833 \| good	21.538 \| good	0.547 \| good	3.177 \| good	0.129 \| good
2025-10-22T04:00:00.000Z	19 \| good	2.597 \| good	11.168 \| good	21.111 \| good	0.768 \| good	2.896 \| good	0.219 \| good
2025-10-22T05:00:00.000Z	19 \| good	2.106 \| good	9.451 \| good	20.482 \| good	0.484 \| good	3.173 \| good	0.2 \| good
2025-10-22T05:00:00.000Z	19 \| good	2.106 \| good	9.451 \| good	20.482 \| good	0.484 \| good	3.173 \| good	0.2 \| good
2025-10-22T05:00:00.000Z	23 \| good	1.571 \| good	6.774 \| good	24.605 \| good	0.552 \| good	2.959 \| good	0.125 \| good
2025-10-22T06:00:00.000Z	24 \| good	0.83 \| good	2.963 \| good	26.147 \| good	0.537 \| good	2.752 \| good	0.122 \| good
2025-10-22T07:00:00.000Z	24 \| good	0.991 \| good	3.933 \| good	25.594 \| good	0.52 \| good	2.507 \| good	0.122 \| good
2025-10-22T08:00:00.000Z	22 \| good	1.064 \| good	3.944 \| good	24.345 \| good	0.503 \| good	2.262 \| good	0.121 \| good
2025-10-22T09:00:00.000Z	22 \| good	0.702 \| good	2.83 \| good	24.381 \| good	0.486 \| good	2.017 \| good	0.12 \| good
2025-10-22T10:00:00.000Z	27 \| good	0.371 \| good	1.03 \| good	28.646 \| good	0.516 \| good	2.175 \| good	0.122 \| good
2025-10-22T11:00:00.000Z	21 \| good	0.841 \| good	2.995 \| good	22.922 \| good	0.547 \| good	2.333 \| good	0.123 \| good
2025-10-22T12:00:00.000Z	18 \| good	2.292 \| good	9.737 \| good	18.899 \| good	0.577 \| good	2.491 \| good	0.124 \| good
2025-10-22T13:00:00.000Z	17 \| good	2.032 \| good	7.942 \| good	18.401 \| good	0.643 \| good	2.89 \| good	0.128 \| good
2025-10-22T14:00:00.000Z	16 \| good	3.114 \| good	13.725 \| good	17.397 \| good	0.708 \| good	3.29 \| good	0.131 \| good
2025-10-22T15:00:00.000Z	22 \| good	4.038 \| good	17.781 \| good	15.618 \| good	0.774 \| good	3.69 \| good	0.135 \| good
2025-10-22T16:00:00.000Z	22 \| good	4.23 \| good	18.813 \| good	17.189 \| good	0.758 \| good	3.315 \| good	0.133 \| good
2025-10-22T17:00:00.000Z	22 \| good	4.315 \| good	18.742 \| good	18.49 \| good	0.742 \| good	2.94 \| good	0.131 \| good
2025-10-22T18:00:00.000Z	17 \| good	3.446 \| good	14.858 \| good	17.607 \| good	0.727 \| good	2.565 \| good	0.129 \| good
2025-10-22T19:00:00.000Z	22 \| good	4.403 \| good	18.823 \| good	18.766 \| good	0.673 \| good	2.568 \| good	0.128 \| good
2025-10-22T20:00:00.000Z	22 \| good	4.434 \| good	18.9 \| good	18.691 \| good	0.62 \| good	2.571 \| good	0.126 \| good
2025-10-22T21:00:00.000Z	27 \| good	4.75 \| good	20.712 \| good	19.899 \| good	0.567 \| good	2.575 \| good	0.125 \| good
2025-10-22T22:00:00.000Z	27 \| good	4.8 \| good	20.742 \| good	20.43 \| good	0.598 \| good	3.032 \| good	0.128 \| good
2025-10-22T23:00:00.000Z	20 \| good	3.439 \| good	14.772 \| good	22.146 \| good	0.629 \| good	3.489 \| good	0.131 \| good
2025-10-23T00:00:00.000Z	18 \| good	2.128 \| good	8.839 \| good	18.71 \| good	0.66 \| good	3.945 \| good	0.134 \| good
2025-10-23T01:00:00.000Z	18 \| good	2.417 \| good	9.841 \| good	19.238 \| good	0.65 \| good	3.957 \| good	0.134 \| good
2025-10-23T02:00:00.000Z	17 \| good	1.783 \| good	7.718 \| good	18.25 \| good	0.64 \| good	3.968 \| good	0.134 \| good
2025-10-23T03:00:00.000Z	16 \| good	1.155 \| good	4.864 \| good	17.432 \| good	0.63 \| good	3.979 \| good	0.133 \| good
2025-10-23T04:00:00.000Z	17 \| good	1.77 \| good	7.729 \| good	18.461 \| good	0.61 \| good	3.679 \| good	0.132 \| good
2025-10-23T05:00:00.000Z	16 \| good	1.856 \| good	7.767 \| good	17.298 \| good	0.59 \| good	3.379 \| good	0.13 \| good
2025-10-23T06:00:00.000Z	15 \| good	2.137 \| good	8.809 \| good	15.921 \| good	0.57 \| good	3.079 \| good	0.129 \| good
2025-10-23T07:00:00.000Z	17 \| good	1.853 \| good	7.749 \| good	17.6 \| good	0.606 \| good	3.112 \| good	0.128 \| good
2025-10-23T08:00:00.000Z	18 \| good	1.607 \| good	6.815 \| good	19.235 \| good	0.643 \| good	3.144 \| good	0.127 \| good
2025-10-23T09:00:00.000Z	19 \| good	1.259 \| good	4.952 \| good	20.102 \| good	0.679 \| good	3.177 \| good	0.127 \| good
2025-10-23T10:00:00.000Z	24 \| good	0.303 \| good	1.09 \| good	25.777 \| good	0.771 \| good	3.789 \| good	0.13 \| good
2025-10-23T11:00:00.000Z	22 \| good	0.733 \| good	2.962 \| good	24.044 \| good	0.862 \| good	4.402 \| good	0.133 \| good
2025-10-23T12:00:00.000Z	19 \| good	1.211 \| good	4.85 \| good	21.462 \| good	0.954 \| good	5.014 \| good	0.136 \| good
2025-10-23T13:00:00.000Z	19 \| good	1.488 \| good	5.978 \| good	21.296 \| good	1.075 \| good	4.894 \| good	0.142 \| good
2025-10-23T14:00:00.000Z	21 \| good	2.049 \| good	7.975 \| good	22.647 \| good	1.196 \| good	4.774 \| good	0.148 \| good
2025-10-23T15:00:00.000Z	24 \| good	1.873 \| good	7.895 \| good	26.119 \| good	1.318 \| good	4.654 \| good	0.154 \| good
2025-10-23T16:00:00.000Z	27 \| good	2.602 \| good	10.871 \| good	29.039 \| good	1.162 \| good	3.924 \| good	0.147 \| good
2025-10-23T17:00:00.000Z	26 \| good	3.3 \| good	14.662 \| good	28.382 \| good	1.006 \| good	3.193 \| good	0.14 \| good
2025-10-23T18:00:00.000Z	24 \| good	3.936 \| good	16.914 \| good	25.813 \| good	0.85 \| good	2.463 \| good	0.134 \| good
2025-10-23T19:00:00.000Z	26 \| good	4.143 \| good	17.92 \| good	27.837 \| good	0.828 \| good	2.556 \| good	0.133 \| good
2025-10-23T20:00:00.000Z	27 \| good	4.434 \| good	19.03 \| good	28.712 \| good	0.806 \| good	2.649 \| good	0.132 \| good
2025-10-23T21:00:00.000Z	27 \| good	3.707 \| good	15.877 \| good	28.758 \| good	0.784 \| good	2.743 \| good	0.131 \| good
2025-10-23T22:00:00.000Z	24 \| good	3.336 \| good	14.704 \| good	26.027 \| good	0.797 \| good	3.825 \| good	0.138 \| good
2025-10-23T23:00:00.000Z	19 \| good	3.08 \| good	13.695 \| good	21.431 \| good	0.811 \| good	4.907 \| good	0.145 \| good
2025-10-24T00:00:00.000Z	28 \| good	3.56 \| good	3.692 \| good	29.947 \| good	0.822 \| good	5.938 \| good	0.152 \| good
2025-10-24T01:00:00.000Z	15 \| good	1.887 \| good	7.956 \| good	15.998 \| good	0.859 \| good	6.653 \| good	0.155 \| good
2025-10-24T02:00:00.000Z	16 \| good	2.679 \| good	11.102 \| good	14.385 \| good	0.893 \| good	7.317 \| good	0.158 \| good
2025-10-24T03:00:00.000Z	16 \| good	2.767 \| good	11.135 \| good	15.958 \| good	0.927 \| good	7.982 \| good	0.161 \| good
2025-10-24T04:00:00.000Z	17 \| good	3.05 \| good	12.186 \| good	18.345 \| good	0.975 \| good	8.728 \| good	0.165 \| good

Chesterton

Get reliable air quality data to drive your business

Chesterton, Indiana air quality map: Track AQI near you

0.13ppm

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 Chesterton, Indiana updated?

The air quality for Chesterton, Indiana is updated every hour.

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

The worst air quality in Chesterton, Indiana in the last 24 hours was observed at 04:00:00 on 2025-10-21.

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

In the last 24 hrs, the best air quality in Chesterton, Indiana was observed at 01:00:00 on 2025-10-21.

What is the current air quality in Chesterton, Indiana?

The current air quality in Chesterton, Indiana is 19, categorized as Good based on real-time data.

What pollutant is the most common in Chesterton, Indiana?

The most common pollutant in Chesterton, Indiana is O3.

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

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

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

The current PM_2.5 concentration at Chesterton, Indiana is 2.597 μg/m³.

What is the current concentration of PM₁₀ in Chesterton, Indiana?

The current PM₁₀ concentration at Chesterton, Indiana is 11.168 μg/m³.

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

The current carbon monoxide (CO) concentration at Chesterton, Indiana is 0.219 ppm.

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

The current sulfur dioxide (SO₂) concentration at Chesterton, Indiana is 0.768 ppb.

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

The current ozone (O₃) concentration at Chesterton, Indiana is 21.111 ppm.

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

The current nitrogen dioxide (NO₂) concentration at Chesterton, Indiana is 2.896 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-20T06:00:00.000Z	27 \| good	4.566 \| good	18.501 \| good	18.304 \| good	0.985 \| good	10.617 \| good	0.2 \| good
2025-10-20T07:00:00.000Z	27 \| good	4.96 \| good	19.339 \| good	15.037 \| good	0.875 \| good	11.4 \| good	0.2 \| good
2025-10-20T08:00:00.000Z	27 \| good	4.659 \| good	19.24 \| good	15.604 \| good	0.82 \| good	9.204 \| good	0.2 \| good
2025-10-20T09:00:00.000Z	22 \| good	4.423 \| good	19.652 \| good	16.387 \| good	0.673 \| good	9.62 \| good	0.2 \| good
2025-10-20T10:00:00.000Z	22 \| good	4.093 \| good	17.187 \| good	14.146 \| good	0.644 \| good	12.695 \| good	0.219 \| good
2025-10-20T11:00:00.000Z	22 \| good	3.776 \| good	15.387 \| good	13.266 \| good	0.591 \| good	13.635 \| good	0.282 \| good
2025-10-20T12:00:00.000Z	22 \| good	3.607 \| good	15.375 \| good	12.075 \| good	0.626 \| good	14.265 \| good	0.438 \| good
2025-10-20T13:00:00.000Z	16 \| good	3.372 \| good	13.768 \| good	6.531 \| good	0.652 \| good	13.613 \| good	0.436 \| good
2025-10-20T14:00:00.000Z	22 \| good	3.54 \| good	16.887 \| good	7.751 \| good	0.751 \| good	13.089 \| good	0.558 \| good
2025-10-20T15:00:00.000Z	16 \| good	3.414 \| good	17.424 \| good	11.466 \| good	0.888 \| good	10.376 \| good	0.435 \| good
2025-10-20T16:00:00.000Z	22 \| good	3.757 \| good	15.533 \| good	15.747 \| good	0.847 \| good	8.478 \| good	0.28 \| good
2025-10-20T17:00:00.000Z	19 \| good	3.376 \| good	15.13 \| good	20.6 \| good	0.75 \| good	6.152 \| good	0.219 \| good
2025-10-20T18:00:00.000Z	22 \| good	3.011 \| good	13.912 \| good	24.43 \| good	0.629 \| good	3.314 \| good	0.2 \| good
2025-10-20T19:00:00.000Z	26 \| good	2.501 \| good	11.861 \| good	28.378 \| good	0.487 \| good	2.689 \| good	0.2 \| good
2025-10-20T20:00:00.000Z	29 \| good	2.359 \| good	11.04 \| good	30.749 \| good	0.488 \| good	1.966 \| good	0.2 \| good
2025-10-20T21:00:00.000Z	31 \| good	2.121 \| good	9.805 \| good	32.624 \| good	0.51 \| good	2.157 \| good	0.2 \| good
2025-10-20T22:00:00.000Z	31 \| good	2.263 \| good	10.244 \| good	33.717 \| good	0.826 \| good	1.785 \| good	0.2 \| good
2025-10-20T23:00:00.000Z	31 \| good	2.317 \| good	10.818 \| good	33.811 \| good	0.674 \| good	2.34 \| good	0.2 \| good
2025-10-21T00:00:00.000Z	31 \| good	2.397 \| good	10.425 \| good	33.476 \| good	0.613 \| good	1.386 \| good	0.22 \| good
2025-10-21T01:00:00.000Z	30 \| good	2.502 \| good	11.196 \| good	32.426 \| good	0.702 \| good	2.896 \| good	0.22 \| good
2025-10-21T02:00:00.000Z	29 \| good	2.95 \| good	12.831 \| good	31.304 \| good	0.589 \| good	4.273 \| good	0.2 \| good
2025-10-21T03:00:00.000Z	27 \| good	4.915 \| good	21.599 \| good	18.92 \| good	2.79 \| good	3.287 \| good	0.15 \| good
2025-10-21T04:00:00.000Z	28 \| good	2.881 \| good	12.537 \| good	30.114 \| good	0.574 \| good	2.276 \| good	0.2 \| good
2025-10-21T05:00:00.000Z	27 \| good	2.932 \| good	15.011 \| good	29.251 \| good	0.545 \| good	2.257 \| good	0.2 \| good
2025-10-21T06:00:00.000Z	26 \| good	3.65 \| good	16.98 \| good	27.697 \| good	0.419 \| good	1.431 \| good	0.206 \| good
2025-10-21T07:00:00.000Z	25 \| good	4.001 \| good	18.081 \| good	26.98 \| good	0.36 \| good	1.27 \| good	0.206 \| good
2025-10-21T08:00:00.000Z	25 \| good	4.172 \| good	18.316 \| good	26.977 \| good	0.443 \| good	3.199 \| good	0.206 \| good
2025-10-21T09:00:00.000Z	24 \| good	3.411 \| good	15.128 \| good	25.746 \| good	0.516 \| good	6.496 \| good	0.185 \| good
2025-10-21T10:00:00.000Z	22 \| good	4.197 \| good	17.883 \| good	23.44 \| good	0.453 \| good	4.501 \| good	0.185 \| good
2025-10-21T11:00:00.000Z	22 \| good	3.869 \| good	16.282 \| good	21.556 \| good	0.705 \| good	5.824 \| good	0.228 \| good
2025-10-21T12:00:00.000Z	22 \| good	3.955 \| good	17.052 \| good	17.169 \| good	0.852 \| good	8.518 \| good	0.313 \| good
2025-10-21T13:00:00.000Z	16 \| good	3.484 \| good	15.124 \| good	14.887 \| good	0.914 \| good	8.944 \| good	0.37 \| good
2025-10-21T14:00:00.000Z	17 \| good	3.494 \| good	17.748 \| good	15.121 \| good	0.826 \| good	7.801 \| good	0.357 \| good
2025-10-21T15:00:00.000Z	22 \| good	3.979 \| good	17.102 \| good	17.814 \| good	0.892 \| good	4.936 \| good	0.199 \| good
2025-10-21T16:00:00.000Z	19 \| good	3.364 \| good	15.953 \| good	19.579 \| good	0.505 \| good	2.527 \| good	0.204 \| good
2025-10-21T17:00:00.000Z	22 \| good	3.756 \| good	16.933 \| good	19.133 \| good	0.853 \| good	3.442 \| good	0.224 \| good
2025-10-21T18:00:00.000Z	20 \| good	3.384 \| good	15.311 \| good	21.879 \| good	0.456 \| good	2.195 \| good	0.2 \| good
2025-10-21T19:00:00.000Z	22 \| good	3.29 \| good	15.82 \| good	24.182 \| good	0.766 \| good	3.379 \| good	0.232 \| good
2025-10-21T20:00:00.000Z	22 \| good	2.319 \| good	10.843 \| good	23.997 \| good	0.86 \| good	3.379 \| good	0.251 \| good
2025-10-21T21:00:00.000Z	23 \| good	2.498 \| good	11.77 \| good	24.842 \| good	0.818 \| good	1.865 \| good	0.243 \| good
2025-10-21T22:00:00.000Z	22 \| good	3.166 \| good	13.515 \| good	23.767 \| good	0.829 \| good	2.596 \| good	0.243 \| good
2025-10-21T23:00:00.000Z	20 \| good	3.011 \| good	13.091 \| good	21.932 \| good	0.782 \| good	2.001 \| good	0.243 \| good
2025-10-22T00:00:00.000Z	22 \| good	3.852 \| good	16.711 \| good	21.045 \| good	0.716 \| good	2.667 \| good	0.243 \| good
2025-10-22T01:00:00.000Z	17 \| good	3.479 \| good	14.315 \| good	18.197 \| good	0.741 \| good	3.245 \| good	0.219 \| good
2025-10-22T02:00:00.000Z	22 \| good	3.719 \| good	13.931 \| good	20.063 \| good	0.711 \| good	2.428 \| good	0.219 \| good
2025-10-22T03:00:00.000Z	20 \| good	2.221 \| good	8.833 \| good	21.538 \| good	0.547 \| good	3.177 \| good	0.129 \| good
2025-10-22T04:00:00.000Z	19 \| good	2.597 \| good	11.168 \| good	21.111 \| good	0.768 \| good	2.896 \| good	0.219 \| good
2025-10-22T05:00:00.000Z	19 \| good	2.106 \| good	9.451 \| good	20.482 \| good	0.484 \| good	3.173 \| good	0.2 \| good
2025-10-22T05:00:00.000Z	19 \| good	2.106 \| good	9.451 \| good	20.482 \| good	0.484 \| good	3.173 \| good	0.2 \| good
2025-10-22T05:00:00.000Z	23 \| good	1.571 \| good	6.774 \| good	24.605 \| good	0.552 \| good	2.959 \| good	0.125 \| good
2025-10-22T06:00:00.000Z	24 \| good	0.83 \| good	2.963 \| good	26.147 \| good	0.537 \| good	2.752 \| good	0.122 \| good
2025-10-22T07:00:00.000Z	24 \| good	0.991 \| good	3.933 \| good	25.594 \| good	0.52 \| good	2.507 \| good	0.122 \| good
2025-10-22T08:00:00.000Z	22 \| good	1.064 \| good	3.944 \| good	24.345 \| good	0.503 \| good	2.262 \| good	0.121 \| good
2025-10-22T09:00:00.000Z	22 \| good	0.702 \| good	2.83 \| good	24.381 \| good	0.486 \| good	2.017 \| good	0.12 \| good
2025-10-22T10:00:00.000Z	27 \| good	0.371 \| good	1.03 \| good	28.646 \| good	0.516 \| good	2.175 \| good	0.122 \| good
2025-10-22T11:00:00.000Z	21 \| good	0.841 \| good	2.995 \| good	22.922 \| good	0.547 \| good	2.333 \| good	0.123 \| good
2025-10-22T12:00:00.000Z	18 \| good	2.292 \| good	9.737 \| good	18.899 \| good	0.577 \| good	2.491 \| good	0.124 \| good
2025-10-22T13:00:00.000Z	17 \| good	2.032 \| good	7.942 \| good	18.401 \| good	0.643 \| good	2.89 \| good	0.128 \| good
2025-10-22T14:00:00.000Z	16 \| good	3.114 \| good	13.725 \| good	17.397 \| good	0.708 \| good	3.29 \| good	0.131 \| good
2025-10-22T15:00:00.000Z	22 \| good	4.038 \| good	17.781 \| good	15.618 \| good	0.774 \| good	3.69 \| good	0.135 \| good
2025-10-22T16:00:00.000Z	22 \| good	4.23 \| good	18.813 \| good	17.189 \| good	0.758 \| good	3.315 \| good	0.133 \| good
2025-10-22T17:00:00.000Z	22 \| good	4.315 \| good	18.742 \| good	18.49 \| good	0.742 \| good	2.94 \| good	0.131 \| good
2025-10-22T18:00:00.000Z	17 \| good	3.446 \| good	14.858 \| good	17.607 \| good	0.727 \| good	2.565 \| good	0.129 \| good
2025-10-22T19:00:00.000Z	22 \| good	4.403 \| good	18.823 \| good	18.766 \| good	0.673 \| good	2.568 \| good	0.128 \| good
2025-10-22T20:00:00.000Z	22 \| good	4.434 \| good	18.9 \| good	18.691 \| good	0.62 \| good	2.571 \| good	0.126 \| good
2025-10-22T21:00:00.000Z	27 \| good	4.75 \| good	20.712 \| good	19.899 \| good	0.567 \| good	2.575 \| good	0.125 \| good
2025-10-22T22:00:00.000Z	27 \| good	4.8 \| good	20.742 \| good	20.43 \| good	0.598 \| good	3.032 \| good	0.128 \| good
2025-10-22T23:00:00.000Z	20 \| good	3.439 \| good	14.772 \| good	22.146 \| good	0.629 \| good	3.489 \| good	0.131 \| good
2025-10-23T00:00:00.000Z	18 \| good	2.128 \| good	8.839 \| good	18.71 \| good	0.66 \| good	3.945 \| good	0.134 \| good
2025-10-23T01:00:00.000Z	18 \| good	2.417 \| good	9.841 \| good	19.238 \| good	0.65 \| good	3.957 \| good	0.134 \| good
2025-10-23T02:00:00.000Z	17 \| good	1.783 \| good	7.718 \| good	18.25 \| good	0.64 \| good	3.968 \| good	0.134 \| good
2025-10-23T03:00:00.000Z	16 \| good	1.155 \| good	4.864 \| good	17.432 \| good	0.63 \| good	3.979 \| good	0.133 \| good
2025-10-23T04:00:00.000Z	17 \| good	1.77 \| good	7.729 \| good	18.461 \| good	0.61 \| good	3.679 \| good	0.132 \| good
2025-10-23T05:00:00.000Z	16 \| good	1.856 \| good	7.767 \| good	17.298 \| good	0.59 \| good	3.379 \| good	0.13 \| good
2025-10-23T06:00:00.000Z	15 \| good	2.137 \| good	8.809 \| good	15.921 \| good	0.57 \| good	3.079 \| good	0.129 \| good
2025-10-23T07:00:00.000Z	17 \| good	1.853 \| good	7.749 \| good	17.6 \| good	0.606 \| good	3.112 \| good	0.128 \| good
2025-10-23T08:00:00.000Z	18 \| good	1.607 \| good	6.815 \| good	19.235 \| good	0.643 \| good	3.144 \| good	0.127 \| good
2025-10-23T09:00:00.000Z	19 \| good	1.259 \| good	4.952 \| good	20.102 \| good	0.679 \| good	3.177 \| good	0.127 \| good
2025-10-23T10:00:00.000Z	24 \| good	0.303 \| good	1.09 \| good	25.777 \| good	0.771 \| good	3.789 \| good	0.13 \| good
2025-10-23T11:00:00.000Z	22 \| good	0.733 \| good	2.962 \| good	24.044 \| good	0.862 \| good	4.402 \| good	0.133 \| good
2025-10-23T12:00:00.000Z	19 \| good	1.211 \| good	4.85 \| good	21.462 \| good	0.954 \| good	5.014 \| good	0.136 \| good
2025-10-23T13:00:00.000Z	19 \| good	1.488 \| good	5.978 \| good	21.296 \| good	1.075 \| good	4.894 \| good	0.142 \| good
2025-10-23T14:00:00.000Z	21 \| good	2.049 \| good	7.975 \| good	22.647 \| good	1.196 \| good	4.774 \| good	0.148 \| good
2025-10-23T15:00:00.000Z	24 \| good	1.873 \| good	7.895 \| good	26.119 \| good	1.318 \| good	4.654 \| good	0.154 \| good
2025-10-23T16:00:00.000Z	27 \| good	2.602 \| good	10.871 \| good	29.039 \| good	1.162 \| good	3.924 \| good	0.147 \| good
2025-10-23T17:00:00.000Z	26 \| good	3.3 \| good	14.662 \| good	28.382 \| good	1.006 \| good	3.193 \| good	0.14 \| good
2025-10-23T18:00:00.000Z	24 \| good	3.936 \| good	16.914 \| good	25.813 \| good	0.85 \| good	2.463 \| good	0.134 \| good
2025-10-23T19:00:00.000Z	26 \| good	4.143 \| good	17.92 \| good	27.837 \| good	0.828 \| good	2.556 \| good	0.133 \| good
2025-10-23T20:00:00.000Z	27 \| good	4.434 \| good	19.03 \| good	28.712 \| good	0.806 \| good	2.649 \| good	0.132 \| good
2025-10-23T21:00:00.000Z	27 \| good	3.707 \| good	15.877 \| good	28.758 \| good	0.784 \| good	2.743 \| good	0.131 \| good
2025-10-23T22:00:00.000Z	24 \| good	3.336 \| good	14.704 \| good	26.027 \| good	0.797 \| good	3.825 \| good	0.138 \| good
2025-10-23T23:00:00.000Z	19 \| good	3.08 \| good	13.695 \| good	21.431 \| good	0.811 \| good	4.907 \| good	0.145 \| good
2025-10-24T00:00:00.000Z	28 \| good	3.56 \| good	3.692 \| good	29.947 \| good	0.822 \| good	5.938 \| good	0.152 \| good
2025-10-24T01:00:00.000Z	15 \| good	1.887 \| good	7.956 \| good	15.998 \| good	0.859 \| good	6.653 \| good	0.155 \| good
2025-10-24T02:00:00.000Z	16 \| good	2.679 \| good	11.102 \| good	14.385 \| good	0.893 \| good	7.317 \| good	0.158 \| good
2025-10-24T03:00:00.000Z	16 \| good	2.767 \| good	11.135 \| good	15.958 \| good	0.927 \| good	7.982 \| good	0.161 \| good
2025-10-24T04:00:00.000Z	17 \| good	3.05 \| good	12.186 \| good	18.345 \| good	0.975 \| good	8.728 \| good	0.165 \| good

Chesterton, Indiana live air quality index now

Major air pollutants in Chesterton, Indiana

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Chesterton, Indiana air quality forecast and history

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Chesterton, Indiana air quality map: Track AQI near you

Air quality in nearby cities

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Hobart, Indiana

Gary, Indiana

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Frequently asked questions

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What is the current air quality in Chesterton, Indiana?

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What is the current concentration of PM2.5 in Chesterton, Indiana?

What is the current concentration of PM10 in Chesterton, Indiana?

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

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

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

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

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

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

What is the current concentration of PM₁₀ in Chesterton, Indiana?

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

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

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