What are the current PM10 levels at Columbia City, Indiana?

The current PM10 levels in Columbia City, Indiana are 10.618 μg/m3.

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

The current sulfur dioxide (SO2) levels in Columbia City, Indiana are 1.852 ppb.

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

The current ozone (O3) levels at Columbia City, Indiana is 20.563 ppm.

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

The current nitrogen dioxide (NO2) levels at Columbia City, Indiana is 2.848 ppb.

Real-time air quality index in Columbia City, Indiana today

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

Stay updated with real-time air quality in Columbia City, 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

Columbia City, Indiana

Last updated: ... (Local time)

Common air pollutants in Columbia City, Indiana

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

2.48 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

10.62 μg/m³

155

255

425

605+

Ozone (O₃)

20.56 ppb

201

201+

Sulfur Dioxide (SO₂)

1.85 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

2.85 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.20 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

Columbia City, Indiana

Get Live Pollen Counts

Columbia City, Indiana

Scroll To Air Quality Map

Track live Columbia City, Indiana air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-20T06:00:00.000Z	22 \| good	3.562 \| good	15.402 \| good	19.092 \| good	1.092 \| good	7.788 \| good	0.2 \| good
2025-10-20T07:00:00.000Z	22 \| good	4.168 \| good	16.076 \| good	17.819 \| good	1.037 \| good	8.076 \| good	0.2 \| good
2025-10-20T08:00:00.000Z	22 \| good	3.551 \| good	21.175 \| good	14.647 \| good	1.059 \| good	8.182 \| good	0.185 \| good
2025-10-20T09:00:00.000Z	16 \| good	3.246 \| good	16.76 \| good	14.911 \| good	1.105 \| good	9.007 \| good	0.2 \| good
2025-10-20T10:00:00.000Z	22 \| good	3.598 \| good	16.615 \| good	19.039 \| good	1.119 \| good	8.508 \| good	0.223 \| good
2025-10-20T11:00:00.000Z	22 \| good	3.971 \| good	16.029 \| good	15.949 \| good	1.284 \| good	10.272 \| good	0.29 \| good
2025-10-20T12:00:00.000Z	27 \| good	4.706 \| good	21.093 \| good	16.381 \| good	0.88 \| good	13.303 \| good	0.503 \| good
2025-10-20T13:00:00.000Z	26 \| good	4.404 \| good	27.939 \| good	13.983 \| good	0.588 \| good	14.325 \| good	0.468 \| good
2025-10-20T14:00:00.000Z	22 \| good	4.491 \| good	23.026 \| good	14.303 \| good	0.812 \| good	13.535 \| good	0.576 \| good
2025-10-20T15:00:00.000Z	22 \| good	4.116 \| good	23.998 \| good	14.826 \| good	0.931 \| good	12.494 \| good	0.441 \| good
2025-10-20T16:00:00.000Z	22 \| good	3.752 \| good	16.408 \| good	15.739 \| good	0.684 \| good	10.542 \| good	0.282 \| good
2025-10-20T17:00:00.000Z	22 \| good	3.562 \| good	17.914 \| good	20.373 \| good	0.611 \| good	7.67 \| good	0.238 \| good
2025-10-20T18:00:00.000Z	23 \| good	3.436 \| good	18.049 \| good	25.197 \| good	0.59 \| good	5.455 \| good	0.216 \| good
2025-10-20T19:00:00.000Z	24 \| good	3.217 \| good	14.482 \| good	26.026 \| good	0.562 \| good	4.674 \| good	0.2 \| good
2025-10-20T20:00:00.000Z	30 \| good	2.961 \| good	14.564 \| good	31.653 \| good	0.617 \| good	4.362 \| good	0.2 \| good
2025-10-20T21:00:00.000Z	30 \| good	2.991 \| good	14.419 \| good	31.505 \| good	0.596 \| good	3.727 \| good	0.2 \| good
2025-10-20T22:00:00.000Z	30 \| good	3.037 \| good	13.551 \| good	32.074 \| good	0.669 \| good	3.706 \| good	0.216 \| good
2025-10-20T23:00:00.000Z	30 \| good	2.712 \| good	11.566 \| good	31.571 \| good	0.521 \| good	3.637 \| good	0.2 \| good
2025-10-21T00:00:00.000Z	30 \| good	2.512 \| good	12.016 \| good	32.259 \| good	0.497 \| good	1.644 \| good	0.234 \| good
2025-10-21T01:00:00.000Z	28 \| good	2.916 \| good	10.696 \| good	30.172 \| good	0.46 \| good	3.371 \| good	0.249 \| good
2025-10-21T02:00:00.000Z	29 \| good	2.964 \| good	11.828 \| good	30.84 \| good	0.496 \| good	3.278 \| good	0.246 \| good
2025-10-21T03:00:00.000Z	23 \| good	2.761 \| good	11.324 \| good	25.337 \| good	1.702 \| good	2.575 \| good	0.152 \| good
2025-10-21T04:00:00.000Z	25 \| good	3.122 \| good	13.612 \| good	27.243 \| good	0.439 \| good	3.322 \| good	0.216 \| good
2025-10-21T05:00:00.000Z	24 \| good	3.275 \| good	14.654 \| good	25.861 \| good	0.443 \| good	3.646 \| good	0.231 \| good
2025-10-21T06:00:00.000Z	23 \| good	3.285 \| good	15.578 \| good	25.367 \| good	0.392 \| good	2.924 \| good	0.216 \| good
2025-10-21T07:00:00.000Z	24 \| good	3.161 \| good	15.824 \| good	26.219 \| good	0.473 \| good	2.785 \| good	0.216 \| good
2025-10-21T08:00:00.000Z	25 \| good	3.59 \| good	17.434 \| good	26.83 \| good	0.522 \| good	2.982 \| good	0.216 \| good
2025-10-21T09:00:00.000Z	23 \| good	3.185 \| good	15.391 \| good	24.664 \| good	0.537 \| good	2.332 \| good	0.182 \| good
2025-10-21T10:00:00.000Z	24 \| good	3.362 \| good	15.587 \| good	26.215 \| good	0.79 \| good	4.609 \| good	0.182 \| good
2025-10-21T11:00:00.000Z	25 \| good	3.415 \| good	16.748 \| good	27.341 \| good	0.712 \| good	5.54 \| good	0.2 \| good
2025-10-21T12:00:00.000Z	26 \| good	3.467 \| good	15.675 \| good	28.396 \| good	1.253 \| good	7.638 \| good	0.272 \| good
2025-10-21T13:00:00.000Z	22 \| good	3.703 \| good	14.988 \| good	21.795 \| good	1.269 \| good	10.271 \| good	0.364 \| good
2025-10-21T14:00:00.000Z	22 \| good	3.628 \| good	16.581 \| good	23.649 \| good	0.897 \| good	10.271 \| good	0.357 \| good
2025-10-21T15:00:00.000Z	23 \| good	3.764 \| good	17.028 \| good	24.728 \| good	0.807 \| good	7.497 \| good	0.235 \| good
2025-10-21T16:00:00.000Z	23 \| good	3.667 \| good	16.043 \| good	25.405 \| good	0.734 \| good	4.717 \| good	0.197 \| good
2025-10-21T17:00:00.000Z	27 \| good	3.642 \| good	16.837 \| good	29.302 \| good	1.09 \| good	4.295 \| good	0.216 \| good
2025-10-21T18:00:00.000Z	26 \| good	3.604 \| good	15.588 \| good	28.44 \| good	0.398 \| good	2.141 \| good	0.2 \| good
2025-10-21T19:00:00.000Z	30 \| good	3.46 \| good	15.17 \| good	32.087 \| good	1.41 \| good	3.379 \| good	0.2 \| good
2025-10-21T20:00:00.000Z	29 \| good	3.438 \| good	15.404 \| good	31.323 \| good	1.837 \| good	3.861 \| good	0.223 \| good
2025-10-21T21:00:00.000Z	30 \| good	3.308 \| good	14.323 \| good	32.415 \| good	1.406 \| good	4.867 \| good	0.223 \| good
2025-10-21T22:00:00.000Z	31 \| good	2.97 \| good	12.456 \| good	33.108 \| good	1.218 \| good	4.441 \| good	0.223 \| good
2025-10-21T23:00:00.000Z	30 \| good	2.878 \| good	12.066 \| good	32.033 \| good	1.639 \| good	4.253 \| good	0.223 \| good
2025-10-22T00:00:00.000Z	29 \| good	2.772 \| good	11.992 \| good	30.556 \| good	1.497 \| good	4.23 \| good	0.238 \| good
2025-10-22T01:00:00.000Z	26 \| good	2.763 \| good	11.961 \| good	28.072 \| good	1.243 \| good	4.952 \| good	0.223 \| good
2025-10-22T02:00:00.000Z	24 \| good	2.723 \| good	11.232 \| good	26.386 \| good	1.086 \| good	4.158 \| good	0.222 \| good
2025-10-22T03:00:00.000Z	21 \| good	0.254 \| good	1 \| good	23.161 \| good	0.542 \| good	1.9 \| good	0.13 \| good
2025-10-22T04:00:00.000Z	20 \| good	2.91 \| good	11.447 \| good	21.789 \| good	1.438 \| good	2.457 \| good	0.223 \| good
2025-10-22T05:00:00.000Z	19 \| good	2.476 \| good	10.618 \| good	20.563 \| good	1.852 \| good	2.848 \| good	0.2 \| good
2025-10-22T05:00:00.000Z	19 \| good	2.476 \| good	10.618 \| good	20.563 \| good	1.852 \| good	2.848 \| good	0.2 \| good
2025-10-22T06:00:00.000Z	20 \| good	0.271 \| good	0.963 \| good	22.39 \| good	0.639 \| good	2.044 \| good	0.126 \| good
2025-10-22T07:00:00.000Z	21 \| good	0.43 \| good	1.682 \| good	23.38 \| good	0.6 \| good	1.961 \| good	0.125 \| good
2025-10-22T08:00:00.000Z	22 \| good	0.021 \| good	0 \| good	24.096 \| good	0.561 \| good	1.878 \| good	0.124 \| good
2025-10-22T09:00:00.000Z	22 \| good	0.047 \| good	0 \| good	24.11 \| good	0.521 \| good	1.795 \| good	0.123 \| good
2025-10-22T10:00:00.000Z	24 \| good	0.148 \| good	0 \| good	25.892 \| good	0.528 \| good	1.836 \| good	0.123 \| good
2025-10-22T11:00:00.000Z	22 \| good	0.587 \| good	2.037 \| good	24.482 \| good	0.534 \| good	1.877 \| good	0.123 \| good
2025-10-22T12:00:00.000Z	23 \| good	0.705 \| good	2.283 \| good	24.746 \| good	0.54 \| good	1.919 \| good	0.123 \| good
2025-10-22T13:00:00.000Z	22 \| good	0.941 \| good	3.928 \| good	24.007 \| good	0.629 \| good	2.071 \| good	0.126 \| good
2025-10-22T14:00:00.000Z	21 \| good	0.136 \| good	0.045 \| good	22.976 \| good	0.717 \| good	2.224 \| good	0.129 \| good
2025-10-22T15:00:00.000Z	21 \| good	0.247 \| good	1 \| good	23.176 \| good	0.805 \| good	2.377 \| good	0.131 \| good
2025-10-22T16:00:00.000Z	23 \| good	0.236 \| good	0.93 \| good	24.532 \| good	0.766 \| good	2.37 \| good	0.13 \| good
2025-10-22T17:00:00.000Z	22 \| good	0.796 \| good	3 \| good	23.687 \| good	0.726 \| good	2.363 \| good	0.129 \| good
2025-10-22T18:00:00.000Z	22 \| good	1.881 \| good	7.66 \| good	23.817 \| good	0.686 \| good	2.356 \| good	0.128 \| good
2025-10-22T19:00:00.000Z	22 \| good	2.39 \| good	9.916 \| good	24.207 \| good	0.682 \| good	2.405 \| good	0.128 \| good
2025-10-22T20:00:00.000Z	21 \| good	3.082 \| good	12.991 \| good	22.57 \| good	0.678 \| good	2.454 \| good	0.129 \| good
2025-10-22T21:00:00.000Z	21 \| good	3.47 \| good	15.375 \| good	22.777 \| good	0.674 \| good	2.503 \| good	0.129 \| good
2025-10-22T22:00:00.000Z	22 \| good	3.823 \| good	16.919 \| good	23.472 \| good	0.722 \| good	2.787 \| good	0.132 \| good
2025-10-22T23:00:00.000Z	22 \| good	1.132 \| good	4.714 \| good	23.525 \| good	0.77 \| good	3.071 \| good	0.134 \| good
2025-10-23T00:00:00.000Z	19 \| good	0.598 \| good	2.297 \| good	20.959 \| good	0.818 \| good	3.355 \| good	0.137 \| good
2025-10-23T01:00:00.000Z	18 \| good	0.691 \| good	2.547 \| good	18.906 \| good	0.839 \| good	3.355 \| good	0.137 \| good
2025-10-23T02:00:00.000Z	17 \| good	1.409 \| good	5.695 \| good	18.22 \| good	0.861 \| good	3.356 \| good	0.137 \| good
2025-10-23T03:00:00.000Z	18 \| good	0.714 \| good	2.624 \| good	19.004 \| good	0.882 \| good	3.356 \| good	0.137 \| good
2025-10-23T04:00:00.000Z	19 \| good	0.555 \| good	2.078 \| good	20.034 \| good	0.848 \| good	3.402 \| good	0.138 \| good
2025-10-23T05:00:00.000Z	19 \| good	1.148 \| good	4.656 \| good	19.824 \| good	0.815 \| good	3.448 \| good	0.138 \| good
2025-10-23T06:00:00.000Z	18 \| good	0.567 \| good	2.069 \| good	19.324 \| good	0.781 \| good	3.494 \| good	0.139 \| good
2025-10-23T07:00:00.000Z	16 \| good	0.709 \| good	2.736 \| good	16.561 \| good	0.731 \| good	3.393 \| good	0.139 \| good
2025-10-23T08:00:00.000Z	15 \| good	0.603 \| good	2.2 \| good	16.111 \| good	0.682 \| good	3.292 \| good	0.138 \| good
2025-10-23T09:00:00.000Z	14 \| good	0.888 \| good	3.41 \| good	14.963 \| good	0.632 \| good	3.191 \| good	0.138 \| good
2025-10-23T10:00:00.000Z	17 \| good	0.202 \| good	0.539 \| good	17.663 \| good	0.634 \| good	3.364 \| good	0.14 \| good
2025-10-23T11:00:00.000Z	16 \| good	1.243 \| good	4.965 \| good	17.285 \| good	0.636 \| good	3.537 \| good	0.142 \| good
2025-10-23T12:00:00.000Z	15 \| good	2.273 \| good	9.471 \| good	16.217 \| good	0.638 \| good	3.71 \| good	0.143 \| good
2025-10-23T13:00:00.000Z	15 \| good	1.79 \| good	7.283 \| good	15.844 \| good	0.689 \| good	3.3 \| good	0.144 \| good
2025-10-23T14:00:00.000Z	19 \| good	1.297 \| good	5.077 \| good	20.248 \| good	0.739 \| good	2.891 \| good	0.144 \| good
2025-10-23T15:00:00.000Z	23 \| good	0.674 \| good	2.117 \| good	24.518 \| good	0.789 \| good	2.482 \| good	0.145 \| good
2025-10-23T16:00:00.000Z	25 \| good	0.72 \| good	2.529 \| good	26.791 \| good	0.716 \| good	2.189 \| good	0.142 \| good
2025-10-23T17:00:00.000Z	27 \| good	1.238 \| good	4.909 \| good	28.88 \| good	0.643 \| good	1.896 \| good	0.139 \| good
2025-10-23T18:00:00.000Z	28 \| good	1.647 \| good	6.656 \| good	29.573 \| good	0.57 \| good	1.603 \| good	0.136 \| good
2025-10-23T19:00:00.000Z	28 \| good	1.951 \| good	7.701 \| good	30.352 \| good	0.594 \| good	1.815 \| good	0.135 \| good
2025-10-23T20:00:00.000Z	28 \| good	1.901 \| good	7.693 \| good	30.346 \| good	0.619 \| good	2.026 \| good	0.134 \| good
2025-10-23T21:00:00.000Z	26 \| good	2.41 \| good	9.701 \| good	28.177 \| good	0.643 \| good	2.238 \| good	0.133 \| good
2025-10-23T22:00:00.000Z	25 \| good	2.027 \| good	8.541 \| good	26.936 \| good	0.605 \| good	2.745 \| good	0.136 \| good
2025-10-23T23:00:00.000Z	21 \| good	1.083 \| good	4.275 \| good	22.915 \| good	0.568 \| good	3.251 \| good	0.139 \| good
2025-10-24T00:00:00.000Z	19 \| good	2.416 \| good	9.878 \| good	20.645 \| good	0.53 \| good	3.757 \| good	0.142 \| good
2025-10-24T01:00:00.000Z	19 \| good	2.268 \| good	9.331 \| good	19.94 \| good	0.495 \| good	4.194 \| good	0.146 \| good
2025-10-24T02:00:00.000Z	16 \| good	2.863 \| good	11.912 \| good	17.262 \| good	0.46 \| good	4.631 \| good	0.149 \| good
2025-10-24T03:00:00.000Z	14 \| good	2.101 \| good	8.578 \| good	14.86 \| good	0.425 \| good	5.068 \| good	0.153 \| good
2025-10-24T04:00:00.000Z	11 \| good	2.202 \| good	9.135 \| good	12.236 \| good	0.431 \| good	5.656 \| good	0.157 \| good
2025-10-24T05:00:00.000Z	16 \| good	2.747 \| good	11.162 \| good	11.475 \| good	0.436 \| good	6.244 \| good	0.161 \| good

Columbia City

Empower business decisions with accurate air quality data

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

0.21ppm

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 Columbia City, Indiana updated?

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

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

The worst air quality in Columbia City, Indiana was recorded at 10:00:00 on 2025-10-21.

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

The best air quality in Columbia City, Indiana was recorded at 04:00:00 on 2025-10-22.

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

The real-time air quality index in Columbia City, Indiana is 19, currently categorized as Good.

Which pollutant is found most often in Columbia City, Indiana?

The most common pollutant in Columbia City, Indiana is O3.

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

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

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

The measured PM_2.5 levels in Columbia City, Indiana at present are 2.476 μg/m³.

What are the current PM₁₀ levels at Columbia City, Indiana?

The current PM₁₀ levels in Columbia City, Indiana are 10.618 μg/m³.

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

The current carbon monoxide (CO) level in Columbia City, Indiana is 0.2 ppm.

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

The current sulfur dioxide (SO₂) levels in Columbia City, Indiana are 1.852 ppb.

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

The current ozone (O₃) levels at Columbia City, Indiana is 20.563 ppm.

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

The current nitrogen dioxide (NO₂) levels at Columbia City, Indiana is 2.848 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-20T06:00:00.000Z	22 \| good	3.562 \| good	15.402 \| good	19.092 \| good	1.092 \| good	7.788 \| good	0.2 \| good
2025-10-20T07:00:00.000Z	22 \| good	4.168 \| good	16.076 \| good	17.819 \| good	1.037 \| good	8.076 \| good	0.2 \| good
2025-10-20T08:00:00.000Z	22 \| good	3.551 \| good	21.175 \| good	14.647 \| good	1.059 \| good	8.182 \| good	0.185 \| good
2025-10-20T09:00:00.000Z	16 \| good	3.246 \| good	16.76 \| good	14.911 \| good	1.105 \| good	9.007 \| good	0.2 \| good
2025-10-20T10:00:00.000Z	22 \| good	3.598 \| good	16.615 \| good	19.039 \| good	1.119 \| good	8.508 \| good	0.223 \| good
2025-10-20T11:00:00.000Z	22 \| good	3.971 \| good	16.029 \| good	15.949 \| good	1.284 \| good	10.272 \| good	0.29 \| good
2025-10-20T12:00:00.000Z	27 \| good	4.706 \| good	21.093 \| good	16.381 \| good	0.88 \| good	13.303 \| good	0.503 \| good
2025-10-20T13:00:00.000Z	26 \| good	4.404 \| good	27.939 \| good	13.983 \| good	0.588 \| good	14.325 \| good	0.468 \| good
2025-10-20T14:00:00.000Z	22 \| good	4.491 \| good	23.026 \| good	14.303 \| good	0.812 \| good	13.535 \| good	0.576 \| good
2025-10-20T15:00:00.000Z	22 \| good	4.116 \| good	23.998 \| good	14.826 \| good	0.931 \| good	12.494 \| good	0.441 \| good
2025-10-20T16:00:00.000Z	22 \| good	3.752 \| good	16.408 \| good	15.739 \| good	0.684 \| good	10.542 \| good	0.282 \| good
2025-10-20T17:00:00.000Z	22 \| good	3.562 \| good	17.914 \| good	20.373 \| good	0.611 \| good	7.67 \| good	0.238 \| good
2025-10-20T18:00:00.000Z	23 \| good	3.436 \| good	18.049 \| good	25.197 \| good	0.59 \| good	5.455 \| good	0.216 \| good
2025-10-20T19:00:00.000Z	24 \| good	3.217 \| good	14.482 \| good	26.026 \| good	0.562 \| good	4.674 \| good	0.2 \| good
2025-10-20T20:00:00.000Z	30 \| good	2.961 \| good	14.564 \| good	31.653 \| good	0.617 \| good	4.362 \| good	0.2 \| good
2025-10-20T21:00:00.000Z	30 \| good	2.991 \| good	14.419 \| good	31.505 \| good	0.596 \| good	3.727 \| good	0.2 \| good
2025-10-20T22:00:00.000Z	30 \| good	3.037 \| good	13.551 \| good	32.074 \| good	0.669 \| good	3.706 \| good	0.216 \| good
2025-10-20T23:00:00.000Z	30 \| good	2.712 \| good	11.566 \| good	31.571 \| good	0.521 \| good	3.637 \| good	0.2 \| good
2025-10-21T00:00:00.000Z	30 \| good	2.512 \| good	12.016 \| good	32.259 \| good	0.497 \| good	1.644 \| good	0.234 \| good
2025-10-21T01:00:00.000Z	28 \| good	2.916 \| good	10.696 \| good	30.172 \| good	0.46 \| good	3.371 \| good	0.249 \| good
2025-10-21T02:00:00.000Z	29 \| good	2.964 \| good	11.828 \| good	30.84 \| good	0.496 \| good	3.278 \| good	0.246 \| good
2025-10-21T03:00:00.000Z	23 \| good	2.761 \| good	11.324 \| good	25.337 \| good	1.702 \| good	2.575 \| good	0.152 \| good
2025-10-21T04:00:00.000Z	25 \| good	3.122 \| good	13.612 \| good	27.243 \| good	0.439 \| good	3.322 \| good	0.216 \| good
2025-10-21T05:00:00.000Z	24 \| good	3.275 \| good	14.654 \| good	25.861 \| good	0.443 \| good	3.646 \| good	0.231 \| good
2025-10-21T06:00:00.000Z	23 \| good	3.285 \| good	15.578 \| good	25.367 \| good	0.392 \| good	2.924 \| good	0.216 \| good
2025-10-21T07:00:00.000Z	24 \| good	3.161 \| good	15.824 \| good	26.219 \| good	0.473 \| good	2.785 \| good	0.216 \| good
2025-10-21T08:00:00.000Z	25 \| good	3.59 \| good	17.434 \| good	26.83 \| good	0.522 \| good	2.982 \| good	0.216 \| good
2025-10-21T09:00:00.000Z	23 \| good	3.185 \| good	15.391 \| good	24.664 \| good	0.537 \| good	2.332 \| good	0.182 \| good
2025-10-21T10:00:00.000Z	24 \| good	3.362 \| good	15.587 \| good	26.215 \| good	0.79 \| good	4.609 \| good	0.182 \| good
2025-10-21T11:00:00.000Z	25 \| good	3.415 \| good	16.748 \| good	27.341 \| good	0.712 \| good	5.54 \| good	0.2 \| good
2025-10-21T12:00:00.000Z	26 \| good	3.467 \| good	15.675 \| good	28.396 \| good	1.253 \| good	7.638 \| good	0.272 \| good
2025-10-21T13:00:00.000Z	22 \| good	3.703 \| good	14.988 \| good	21.795 \| good	1.269 \| good	10.271 \| good	0.364 \| good
2025-10-21T14:00:00.000Z	22 \| good	3.628 \| good	16.581 \| good	23.649 \| good	0.897 \| good	10.271 \| good	0.357 \| good
2025-10-21T15:00:00.000Z	23 \| good	3.764 \| good	17.028 \| good	24.728 \| good	0.807 \| good	7.497 \| good	0.235 \| good
2025-10-21T16:00:00.000Z	23 \| good	3.667 \| good	16.043 \| good	25.405 \| good	0.734 \| good	4.717 \| good	0.197 \| good
2025-10-21T17:00:00.000Z	27 \| good	3.642 \| good	16.837 \| good	29.302 \| good	1.09 \| good	4.295 \| good	0.216 \| good
2025-10-21T18:00:00.000Z	26 \| good	3.604 \| good	15.588 \| good	28.44 \| good	0.398 \| good	2.141 \| good	0.2 \| good
2025-10-21T19:00:00.000Z	30 \| good	3.46 \| good	15.17 \| good	32.087 \| good	1.41 \| good	3.379 \| good	0.2 \| good
2025-10-21T20:00:00.000Z	29 \| good	3.438 \| good	15.404 \| good	31.323 \| good	1.837 \| good	3.861 \| good	0.223 \| good
2025-10-21T21:00:00.000Z	30 \| good	3.308 \| good	14.323 \| good	32.415 \| good	1.406 \| good	4.867 \| good	0.223 \| good
2025-10-21T22:00:00.000Z	31 \| good	2.97 \| good	12.456 \| good	33.108 \| good	1.218 \| good	4.441 \| good	0.223 \| good
2025-10-21T23:00:00.000Z	30 \| good	2.878 \| good	12.066 \| good	32.033 \| good	1.639 \| good	4.253 \| good	0.223 \| good
2025-10-22T00:00:00.000Z	29 \| good	2.772 \| good	11.992 \| good	30.556 \| good	1.497 \| good	4.23 \| good	0.238 \| good
2025-10-22T01:00:00.000Z	26 \| good	2.763 \| good	11.961 \| good	28.072 \| good	1.243 \| good	4.952 \| good	0.223 \| good
2025-10-22T02:00:00.000Z	24 \| good	2.723 \| good	11.232 \| good	26.386 \| good	1.086 \| good	4.158 \| good	0.222 \| good
2025-10-22T03:00:00.000Z	21 \| good	0.254 \| good	1 \| good	23.161 \| good	0.542 \| good	1.9 \| good	0.13 \| good
2025-10-22T04:00:00.000Z	20 \| good	2.91 \| good	11.447 \| good	21.789 \| good	1.438 \| good	2.457 \| good	0.223 \| good
2025-10-22T05:00:00.000Z	19 \| good	2.476 \| good	10.618 \| good	20.563 \| good	1.852 \| good	2.848 \| good	0.2 \| good
2025-10-22T05:00:00.000Z	19 \| good	2.476 \| good	10.618 \| good	20.563 \| good	1.852 \| good	2.848 \| good	0.2 \| good
2025-10-22T06:00:00.000Z	20 \| good	0.271 \| good	0.963 \| good	22.39 \| good	0.639 \| good	2.044 \| good	0.126 \| good
2025-10-22T07:00:00.000Z	21 \| good	0.43 \| good	1.682 \| good	23.38 \| good	0.6 \| good	1.961 \| good	0.125 \| good
2025-10-22T08:00:00.000Z	22 \| good	0.021 \| good	0 \| good	24.096 \| good	0.561 \| good	1.878 \| good	0.124 \| good
2025-10-22T09:00:00.000Z	22 \| good	0.047 \| good	0 \| good	24.11 \| good	0.521 \| good	1.795 \| good	0.123 \| good
2025-10-22T10:00:00.000Z	24 \| good	0.148 \| good	0 \| good	25.892 \| good	0.528 \| good	1.836 \| good	0.123 \| good
2025-10-22T11:00:00.000Z	22 \| good	0.587 \| good	2.037 \| good	24.482 \| good	0.534 \| good	1.877 \| good	0.123 \| good
2025-10-22T12:00:00.000Z	23 \| good	0.705 \| good	2.283 \| good	24.746 \| good	0.54 \| good	1.919 \| good	0.123 \| good
2025-10-22T13:00:00.000Z	22 \| good	0.941 \| good	3.928 \| good	24.007 \| good	0.629 \| good	2.071 \| good	0.126 \| good
2025-10-22T14:00:00.000Z	21 \| good	0.136 \| good	0.045 \| good	22.976 \| good	0.717 \| good	2.224 \| good	0.129 \| good
2025-10-22T15:00:00.000Z	21 \| good	0.247 \| good	1 \| good	23.176 \| good	0.805 \| good	2.377 \| good	0.131 \| good
2025-10-22T16:00:00.000Z	23 \| good	0.236 \| good	0.93 \| good	24.532 \| good	0.766 \| good	2.37 \| good	0.13 \| good
2025-10-22T17:00:00.000Z	22 \| good	0.796 \| good	3 \| good	23.687 \| good	0.726 \| good	2.363 \| good	0.129 \| good
2025-10-22T18:00:00.000Z	22 \| good	1.881 \| good	7.66 \| good	23.817 \| good	0.686 \| good	2.356 \| good	0.128 \| good
2025-10-22T19:00:00.000Z	22 \| good	2.39 \| good	9.916 \| good	24.207 \| good	0.682 \| good	2.405 \| good	0.128 \| good
2025-10-22T20:00:00.000Z	21 \| good	3.082 \| good	12.991 \| good	22.57 \| good	0.678 \| good	2.454 \| good	0.129 \| good
2025-10-22T21:00:00.000Z	21 \| good	3.47 \| good	15.375 \| good	22.777 \| good	0.674 \| good	2.503 \| good	0.129 \| good
2025-10-22T22:00:00.000Z	22 \| good	3.823 \| good	16.919 \| good	23.472 \| good	0.722 \| good	2.787 \| good	0.132 \| good
2025-10-22T23:00:00.000Z	22 \| good	1.132 \| good	4.714 \| good	23.525 \| good	0.77 \| good	3.071 \| good	0.134 \| good
2025-10-23T00:00:00.000Z	19 \| good	0.598 \| good	2.297 \| good	20.959 \| good	0.818 \| good	3.355 \| good	0.137 \| good
2025-10-23T01:00:00.000Z	18 \| good	0.691 \| good	2.547 \| good	18.906 \| good	0.839 \| good	3.355 \| good	0.137 \| good
2025-10-23T02:00:00.000Z	17 \| good	1.409 \| good	5.695 \| good	18.22 \| good	0.861 \| good	3.356 \| good	0.137 \| good
2025-10-23T03:00:00.000Z	18 \| good	0.714 \| good	2.624 \| good	19.004 \| good	0.882 \| good	3.356 \| good	0.137 \| good
2025-10-23T04:00:00.000Z	19 \| good	0.555 \| good	2.078 \| good	20.034 \| good	0.848 \| good	3.402 \| good	0.138 \| good
2025-10-23T05:00:00.000Z	19 \| good	1.148 \| good	4.656 \| good	19.824 \| good	0.815 \| good	3.448 \| good	0.138 \| good
2025-10-23T06:00:00.000Z	18 \| good	0.567 \| good	2.069 \| good	19.324 \| good	0.781 \| good	3.494 \| good	0.139 \| good
2025-10-23T07:00:00.000Z	16 \| good	0.709 \| good	2.736 \| good	16.561 \| good	0.731 \| good	3.393 \| good	0.139 \| good
2025-10-23T08:00:00.000Z	15 \| good	0.603 \| good	2.2 \| good	16.111 \| good	0.682 \| good	3.292 \| good	0.138 \| good
2025-10-23T09:00:00.000Z	14 \| good	0.888 \| good	3.41 \| good	14.963 \| good	0.632 \| good	3.191 \| good	0.138 \| good
2025-10-23T10:00:00.000Z	17 \| good	0.202 \| good	0.539 \| good	17.663 \| good	0.634 \| good	3.364 \| good	0.14 \| good
2025-10-23T11:00:00.000Z	16 \| good	1.243 \| good	4.965 \| good	17.285 \| good	0.636 \| good	3.537 \| good	0.142 \| good
2025-10-23T12:00:00.000Z	15 \| good	2.273 \| good	9.471 \| good	16.217 \| good	0.638 \| good	3.71 \| good	0.143 \| good
2025-10-23T13:00:00.000Z	15 \| good	1.79 \| good	7.283 \| good	15.844 \| good	0.689 \| good	3.3 \| good	0.144 \| good
2025-10-23T14:00:00.000Z	19 \| good	1.297 \| good	5.077 \| good	20.248 \| good	0.739 \| good	2.891 \| good	0.144 \| good
2025-10-23T15:00:00.000Z	23 \| good	0.674 \| good	2.117 \| good	24.518 \| good	0.789 \| good	2.482 \| good	0.145 \| good
2025-10-23T16:00:00.000Z	25 \| good	0.72 \| good	2.529 \| good	26.791 \| good	0.716 \| good	2.189 \| good	0.142 \| good
2025-10-23T17:00:00.000Z	27 \| good	1.238 \| good	4.909 \| good	28.88 \| good	0.643 \| good	1.896 \| good	0.139 \| good
2025-10-23T18:00:00.000Z	28 \| good	1.647 \| good	6.656 \| good	29.573 \| good	0.57 \| good	1.603 \| good	0.136 \| good
2025-10-23T19:00:00.000Z	28 \| good	1.951 \| good	7.701 \| good	30.352 \| good	0.594 \| good	1.815 \| good	0.135 \| good
2025-10-23T20:00:00.000Z	28 \| good	1.901 \| good	7.693 \| good	30.346 \| good	0.619 \| good	2.026 \| good	0.134 \| good
2025-10-23T21:00:00.000Z	26 \| good	2.41 \| good	9.701 \| good	28.177 \| good	0.643 \| good	2.238 \| good	0.133 \| good
2025-10-23T22:00:00.000Z	25 \| good	2.027 \| good	8.541 \| good	26.936 \| good	0.605 \| good	2.745 \| good	0.136 \| good
2025-10-23T23:00:00.000Z	21 \| good	1.083 \| good	4.275 \| good	22.915 \| good	0.568 \| good	3.251 \| good	0.139 \| good
2025-10-24T00:00:00.000Z	19 \| good	2.416 \| good	9.878 \| good	20.645 \| good	0.53 \| good	3.757 \| good	0.142 \| good
2025-10-24T01:00:00.000Z	19 \| good	2.268 \| good	9.331 \| good	19.94 \| good	0.495 \| good	4.194 \| good	0.146 \| good
2025-10-24T02:00:00.000Z	16 \| good	2.863 \| good	11.912 \| good	17.262 \| good	0.46 \| good	4.631 \| good	0.149 \| good
2025-10-24T03:00:00.000Z	14 \| good	2.101 \| good	8.578 \| good	14.86 \| good	0.425 \| good	5.068 \| good	0.153 \| good
2025-10-24T04:00:00.000Z	11 \| good	2.202 \| good	9.135 \| good	12.236 \| good	0.431 \| good	5.656 \| good	0.157 \| good
2025-10-24T05:00:00.000Z	16 \| good	2.747 \| good	11.162 \| good	11.475 \| good	0.436 \| good	6.244 \| good	0.161 \| good

Real-time air quality index in Columbia City, Indiana today

Common air pollutants in Columbia City, Indiana

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Columbia City, Indiana air quality forecast and history

Empower business decisions with accurate air quality data

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

Air quality in nearby cities

Huntertown, Indiana

Fort Wayne, Indiana

Huntington, Indiana

Warsaw, Indiana

Kendallville, Indiana

New Haven, Indiana

How accurate is Indiana, USA air quality data?

Air quality levels in US

Frequently asked questions

How frequently is the air quality data for Columbia City, Indiana updated?

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

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

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

Which pollutant is found most often in Columbia City, Indiana?

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

What are the current PM2.5 levels in Columbia City, Indiana?

What are the current PM10 levels at Columbia City, Indiana?

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

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

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

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

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 Columbia City, Indiana?

What are the current PM₁₀ levels at Columbia City, Indiana?

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

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

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