What are the current PM10 levels at Fort Campbell North, Kentucky?

The current PM10 levels in Fort Campbell North, Kentucky are 8.38 μg/m3.

What are the current sulfur dioxide (SO2) levels at Fort Campbell North, Kentucky?

The current sulfur dioxide (SO2) levels in Fort Campbell North, Kentucky are 0.933 ppb.

What are the current ozone (O3) levels at Fort Campbell North, Kentucky?

The current ozone (O3) levels at Fort Campbell North, Kentucky is 36.481 ppm.

What are the current nitrogen dioxide (NO2) levels at Fort Campbell North, Kentucky?

The current nitrogen dioxide (NO2) levels at Fort Campbell North, Kentucky is 4.536 ppb.

Real-time air quality index in Fort Campbell North, Kentucky today

Name: Live air pollution levels in Fort Campbell North, Kentucky today
Creator: Ambee

Stay updated with real-time air quality in Fort Campbell North, Kentucky 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

Fort Campbell North, Kentucky

Last updated: ... (Local time)

Common air pollutants in Fort Campbell North, Kentucky

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

2.09 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

8.38 μg/m³

155

255

425

605+

Ozone (O₃)

36.48 ppb

201

201+

Sulfur Dioxide (SO₂)

0.93 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

4.54 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.21 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

High

Fort Campbell North, Kentucky

Get Live Pollen Counts

Fort Campbell North, Kentucky

Scroll To Air Quality Map

Track live Fort Campbell North, Kentucky air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T22:00:00.000Z	28 \| good	0.675 \| good	3 \| good	30.392 \| good	0.46 \| good	1.857 \| good	0.179 \| good
2025-10-19T23:00:00.000Z	29 \| good	0.557 \| good	1.963 \| good	31.389 \| good	0.411 \| good	2.436 \| good	0.179 \| good
2025-10-20T00:00:00.000Z	29 \| good	1.625 \| good	6.424 \| good	31.292 \| good	0.509 \| good	4.244 \| good	0.174 \| good
2025-10-20T01:00:00.000Z	29 \| good	2.697 \| good	10.948 \| good	30.51 \| good	0.478 \| good	8.366 \| good	0.254 \| good
2025-10-20T02:00:00.000Z	26 \| good	2.047 \| good	8.403 \| good	27.527 \| good	0.528 \| good	8.732 \| good	0.22 \| good
2025-10-20T03:00:00.000Z	20 \| good	2.623 \| good	10.227 \| good	21.825 \| good	0.545 \| good	7.58 \| good	0.227 \| good
2025-10-20T04:00:00.000Z	23 \| good	2.619 \| good	10.184 \| good	24.565 \| good	0.537 \| good	7.58 \| good	0.227 \| good
2025-10-20T05:00:00.000Z	22 \| good	3.692 \| good	15.918 \| good	19.417 \| good	0.52 \| good	9.717 \| good	0.227 \| good
2025-10-20T06:00:00.000Z	22 \| good	3.71 \| good	16.09 \| good	19.996 \| good	0.547 \| good	9.001 \| good	0.241 \| good
2025-10-20T07:00:00.000Z	18 \| good	1.713 \| good	7.052 \| good	19.193 \| good	0.56 \| good	7.022 \| good	0.206 \| good
2025-10-20T08:00:00.000Z	38 \| good	6.682 \| good	29.318 \| good	17.227 \| good	0.312 \| good	9.675 \| good	0.193 \| good
2025-10-20T09:00:00.000Z	27 \| good	4.509 \| good	19.613 \| good	13.755 \| good	0.315 \| good	11.578 \| good	0.213 \| good
2025-10-20T10:00:00.000Z	22 \| good	3.641 \| good	16.188 \| good	16.444 \| good	0.524 \| good	10.572 \| good	0.226 \| good
2025-10-20T11:00:00.000Z	11 \| good	1.92 \| good	8.116 \| good	12.188 \| good	0.381 \| good	11.845 \| good	0.266 \| good
2025-10-20T12:00:00.000Z	12 \| good	0.964 \| good	4.287 \| good	7.1 \| good	0.662 \| good	13.401 \| good	0.393 \| good
2025-10-20T13:00:00.000Z	16 \| good	2.225 \| good	9.694 \| good	8.818 \| good	0.629 \| good	16.749 \| good	0.363 \| good
2025-10-20T14:00:00.000Z	22 \| good	3.873 \| good	11.895 \| good	7.641 \| good	0.553 \| good	12.698 \| good	0.424 \| good
2025-10-20T15:00:00.000Z	12 \| good	0.997 \| good	4.42 \| good	13.078 \| good	2.131 \| good	11.921 \| good	0.332 \| good
2025-10-20T16:00:00.000Z	19 \| good	1.321 \| good	5.163 \| good	21.21 \| good	3.282 \| good	9.818 \| good	0.273 \| good
2025-10-20T17:00:00.000Z	24 \| good	1.187 \| good	4.571 \| good	25.817 \| good	1.644 \| good	6.349 \| good	0.207 \| good
2025-10-20T18:00:00.000Z	23 \| good	1.631 \| good	6.911 \| good	24.559 \| good	0.715 \| good	5.744 \| good	0.194 \| good
2025-10-20T19:00:00.000Z	26 \| good	3.369 \| good	14.68 \| good	27.565 \| good	1.133 \| good	5.25 \| good	0.16 \| good
2025-10-20T20:00:00.000Z	29 \| good	1.622 \| good	6.529 \| good	30.629 \| good	1.021 \| good	5.305 \| good	0.194 \| good
2025-10-20T21:00:00.000Z	31 \| good	1.354 \| good	5.566 \| good	33.348 \| good	0.752 \| good	6.534 \| good	0.214 \| good
2025-10-20T22:00:00.000Z	32 \| good	3.126 \| good	13.559 \| good	34.913 \| good	0.796 \| good	5.492 \| good	0.194 \| good
2025-10-20T23:00:00.000Z	31 \| good	1.449 \| good	5.63 \| good	34.362 \| good	0.538 \| good	7.482 \| good	0.234 \| good
2025-10-21T00:00:00.000Z	32 \| good	3.179 \| good	14.306 \| good	35.169 \| good	0.753 \| good	9.292 \| good	0.234 \| good
2025-10-21T01:00:00.000Z	30 \| good	3.487 \| good	15.235 \| good	31.917 \| good	0.758 \| good	5.722 \| good	0.234 \| good
2025-10-21T02:00:00.000Z	30 \| good	2.806 \| good	11.756 \| good	32.305 \| good	0.613 \| good	9.026 \| good	0.235 \| good
2025-10-21T03:00:00.000Z	36 \| good	0.387 \| good	1.549 \| good	38.508 \| good	1.096 \| good	1.809 \| good	0.131 \| good
2025-10-21T04:00:00.000Z	28 \| good	5.078 \| good	22.294 \| good	29.746 \| good	2.805 \| good	6.87 \| good	0.217 \| good
2025-10-21T05:00:00.000Z	29 \| good	5.057 \| good	22.205 \| good	31.202 \| good	5.76 \| good	6.49 \| good	0.222 \| good
2025-10-21T06:00:00.000Z	28 \| good	3.725 \| good	16.004 \| good	29.988 \| good	8.555 \| good	6.83 \| good	0.173 \| good
2025-10-21T07:00:00.000Z	27 \| good	1.076 \| good	4.526 \| good	29.346 \| good	2.874 \| good	2.627 \| good	0.2 \| good
2025-10-21T08:00:00.000Z	28 \| good	2.902 \| good	11.757 \| good	29.616 \| good	0.456 \| good	6.681 \| good	0.197 \| good
2025-10-21T09:00:00.000Z	30 \| good	2.966 \| good	12.014 \| good	31.952 \| good	0.451 \| good	10.634 \| good	0.22 \| good
2025-10-21T10:00:00.000Z	33 \| good	6.169 \| good	27.075 \| good	30.549 \| good	0.893 \| good	13.001 \| good	0.236 \| good
2025-10-21T11:00:00.000Z	33 \| good	5.636 \| good	24.338 \| good	29.592 \| good	0.781 \| good	11.306 \| good	0.217 \| good
2025-10-21T12:00:00.000Z	26 \| good	3.948 \| good	17.161 \| good	27.659 \| good	0.465 \| good	9.547 \| good	0.243 \| good
2025-10-21T13:00:00.000Z	33 \| good	5.642 \| good	24.487 \| good	28.534 \| good	0.441 \| good	7.154 \| good	0.433 \| good
2025-10-21T14:00:00.000Z	25 \| good	2.498 \| good	10.457 \| good	26.588 \| good	0.646 \| good	9.3 \| good	0.468 \| good
2025-10-21T15:00:00.000Z	24 \| good	3.243 \| good	12.992 \| good	26.353 \| good	0.589 \| good	8.04 \| good	0.353 \| good
2025-10-21T16:00:00.000Z	28 \| good	3.7 \| good	16.222 \| good	30.107 \| good	0.868 \| good	4.268 \| good	0.176 \| good
2025-10-21T17:00:00.000Z	31 \| good	3.669 \| good	16.143 \| good	32.867 \| good	0.841 \| good	4.786 \| good	0.234 \| good
2025-10-21T18:00:00.000Z	31 \| good	2.907 \| good	12.366 \| good	33.065 \| good	0.833 \| good	3.723 \| good	0.194 \| good
2025-10-21T19:00:00.000Z	31 \| good	2.397 \| good	10.265 \| good	34.378 \| good	0.812 \| good	3.565 \| good	0.194 \| good
2025-10-21T20:00:00.000Z	33 \| good	2.086 \| good	8.38 \| good	36.481 \| good	0.933 \| good	4.536 \| good	0.206 \| good
2025-10-21T21:00:00.000Z	33 \| good	2.086 \| good	8.38 \| good	36.481 \| good	0.933 \| good	4.536 \| good	0.206 \| good
2025-10-21T22:00:00.000Z	33 \| good	0.69 \| good	2.461 \| good	36.386 \| good	0.558 \| good	0.886 \| good	0.119 \| good
2025-10-21T23:00:00.000Z	31 \| good	1.371 \| good	5.472 \| good	33.718 \| good	0.541 \| good	1.262 \| good	0.122 \| good
2025-10-22T00:00:00.000Z	31 \| good	0.664 \| good	2.618 \| good	32.734 \| good	0.524 \| good	1.638 \| good	0.125 \| good
2025-10-22T01:00:00.000Z	32 \| good	1.354 \| good	5.585 \| good	34.854 \| good	0.521 \| good	1.855 \| good	0.128 \| good
2025-10-22T02:00:00.000Z	30 \| good	0.553 \| good	2.162 \| good	31.711 \| good	0.518 \| good	2.071 \| good	0.131 \| good
2025-10-22T03:00:00.000Z	28 \| good	2.298 \| good	9.329 \| good	29.636 \| good	0.515 \| good	2.288 \| good	0.134 \| good
2025-10-22T04:00:00.000Z	26 \| good	1.198 \| good	4.792 \| good	27.997 \| good	0.504 \| good	2.195 \| good	0.133 \| good
2025-10-22T05:00:00.000Z	23 \| good	0.53 \| good	1.89 \| good	25.085 \| good	0.494 \| good	2.103 \| good	0.133 \| good
2025-10-22T06:00:00.000Z	27 \| good	4.988 \| good	21.546 \| good	23.66 \| good	0.484 \| good	2.011 \| good	0.133 \| good
2025-10-22T07:00:00.000Z	20 \| good	1.054 \| good	4.225 \| good	21.734 \| good	0.489 \| good	1.932 \| good	0.132 \| good
2025-10-22T08:00:00.000Z	19 \| good	2.269 \| good	9.328 \| good	20.673 \| good	0.494 \| good	1.852 \| good	0.131 \| good
2025-10-22T09:00:00.000Z	20 \| good	0.914 \| good	3.531 \| good	22.225 \| good	0.499 \| good	1.773 \| good	0.13 \| good
2025-10-22T10:00:00.000Z	19 \| good	1.251 \| good	4.93 \| good	20.013 \| good	0.507 \| good	1.94 \| good	0.13 \| good
2025-10-22T11:00:00.000Z	17 \| good	2.528 \| good	10.391 \| good	18.349 \| good	0.515 \| good	2.107 \| good	0.131 \| good
2025-10-22T12:00:00.000Z	20 \| good	0.393 \| good	1.32 \| good	21.707 \| good	0.523 \| good	2.274 \| good	0.132 \| good
2025-10-22T13:00:00.000Z	24 \| good	1.302 \| good	5.131 \| good	25.954 \| good	0.589 \| good	2.007 \| good	0.129 \| good
2025-10-22T14:00:00.000Z	28 \| good	1.799 \| good	7.697 \| good	30.298 \| good	0.655 \| good	1.74 \| good	0.126 \| good
2025-10-22T15:00:00.000Z	30 \| good	1.998 \| good	8 \| good	31.666 \| good	0.722 \| good	1.473 \| good	0.123 \| good
2025-10-22T16:00:00.000Z	31 \| good	0.184 \| good	0.163 \| good	34.238 \| good	0.725 \| good	1.204 \| good	0.118 \| good
2025-10-22T17:00:00.000Z	34 \| good	3.945 \| good	17.194 \| good	36.714 \| good	0.728 \| good	0.934 \| good	0.113 \| good
2025-10-22T18:00:00.000Z	36 \| good	0.774 \| good	2.829 \| good	38.912 \| good	0.732 \| good	0.664 \| good	0.108 \| good
2025-10-22T19:00:00.000Z	36 \| good	1.656 \| good	6.853 \| good	39.083 \| good	0.719 \| good	0.658 \| good	0.108 \| good
2025-10-22T20:00:00.000Z	34 \| good	2.492 \| good	9.967 \| good	37.179 \| good	0.707 \| good	0.653 \| good	0.108 \| good
2025-10-22T21:00:00.000Z	32 \| good	2.052 \| good	8.537 \| good	35.419 \| good	0.695 \| good	0.648 \| good	0.109 \| good
2025-10-22T22:00:00.000Z	30 \| good	3.51 \| good	15.476 \| good	31.829 \| good	0.662 \| good	1.401 \| good	0.116 \| good
2025-10-22T23:00:00.000Z	29 \| good	4.025 \| good	17.77 \| good	30.84 \| good	0.629 \| good	2.154 \| good	0.124 \| good
2025-10-23T00:00:00.000Z	29 \| good	1.918 \| good	7.988 \| good	31.445 \| good	0.596 \| good	2.907 \| good	0.132 \| good
2025-10-23T01:00:00.000Z	26 \| good	1.549 \| good	6.479 \| good	27.902 \| good	0.56 \| good	2.957 \| good	0.134 \| good
2025-10-23T02:00:00.000Z	23 \| good	1.247 \| good	5.276 \| good	24.606 \| good	0.524 \| good	3.007 \| good	0.137 \| good
2025-10-23T03:00:00.000Z	20 \| good	2.134 \| good	8.573 \| good	21.77 \| good	0.487 \| good	3.057 \| good	0.139 \| good
2025-10-23T04:00:00.000Z	17 \| good	0.961 \| good	3.699 \| good	17.768 \| good	0.478 \| good	3.094 \| good	0.14 \| good
2025-10-23T05:00:00.000Z	17 \| good	1.161 \| good	4.701 \| good	17.699 \| good	0.469 \| good	3.131 \| good	0.141 \| good
2025-10-23T06:00:00.000Z	27 \| good	4.561 \| good	19.742 \| good	20.028 \| good	0.459 \| good	3.169 \| good	0.142 \| good
2025-10-23T07:00:00.000Z	19 \| good	1.172 \| good	4.581 \| good	20.793 \| good	0.48 \| good	3.315 \| good	0.143 \| good
2025-10-23T08:00:00.000Z	14 \| good	2.262 \| good	9.335 \| good	14.728 \| good	0.5 \| good	3.462 \| good	0.145 \| good
2025-10-23T09:00:00.000Z	17 \| good	0.65 \| good	2.379 \| good	17.673 \| good	0.52 \| good	3.609 \| good	0.146 \| good
2025-10-23T10:00:00.000Z	15 \| good	1.414 \| good	5.498 \| good	15.78 \| good	0.556 \| good	4.408 \| good	0.152 \| good
2025-10-23T11:00:00.000Z	11 \| good	2.353 \| good	9.631 \| good	10.884 \| good	0.591 \| good	5.208 \| good	0.159 \| good
2025-10-23T12:00:00.000Z	10 \| good	0.486 \| good	1.981 \| good	10.723 \| good	0.627 \| good	6.008 \| good	0.165 \| good
2025-10-23T13:00:00.000Z	27 \| good	5.363 \| good	22.983 \| good	13.789 \| good	0.892 \| good	4.853 \| good	0.159 \| good
2025-10-23T14:00:00.000Z	22 \| good	3.784 \| good	16.362 \| good	23.026 \| good	1.157 \| good	3.697 \| good	0.153 \| good
2025-10-23T15:00:00.000Z	28 \| good	4.41 \| good	19.301 \| good	30.071 \| good	1.422 \| good	2.542 \| good	0.146 \| good
2025-10-23T16:00:00.000Z	32 \| good	2.715 \| good	11.156 \| good	35.484 \| good	1.42 \| good	1.994 \| good	0.139 \| good
2025-10-23T17:00:00.000Z	35 \| good	4.012 \| good	17.376 \| good	37.636 \| good	1.418 \| good	1.446 \| good	0.132 \| good
2025-10-23T18:00:00.000Z	36 \| good	2.029 \| good	8.135 \| good	39.05 \| good	1.415 \| good	0.898 \| good	0.125 \| good
2025-10-23T19:00:00.000Z	37 \| good	3.262 \| good	14.095 \| good	39.514 \| good	1.338 \| good	0.844 \| good	0.125 \| good
2025-10-23T20:00:00.000Z	35 \| good	3.226 \| good	14.095 \| good	37.917 \| good	1.26 \| good	0.79 \| good	0.124 \| good
2025-10-23T21:00:00.000Z	36 \| good	3.718 \| good	16.114 \| good	38.579 \| good	1.183 \| good	0.736 \| good	0.124 \| good

Fort Campbell North

Empower business decisions with accurate air quality data

Fort Campbell North, Kentucky air quality map: Real-time AQI near you

0.18ppm

How accurate is Kentucky, USA air quality data?

Air quality measurements for Kentucky, 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 Fort Campbell North, Kentucky updated?

Air quality data for Fort Campbell North, Kentucky is updated on an hourly basis.

When did Fort Campbell North, Kentucky experience the worst air quality in the last 24 hours?

The worst air quality in Fort Campbell North, Kentucky was recorded at 03:00:00 on 2025-10-21.

When did Fort Campbell North, Kentucky have its best air quality in the last 24 hours?

The best air quality in Fort Campbell North, Kentucky was recorded at 03:00:00 on 2025-10-21.

What is the real-time air quality index for Fort Campbell North, Kentucky?

The real-time air quality index in Fort Campbell North, Kentucky is 33, currently categorized as Good.

Which pollutant is found most often in Fort Campbell North, Kentucky?

The most common pollutant in Fort Campbell North, Kentucky is O3.

What can I do if the air quality in Fort Campbell North, Kentucky is poor?

If the air quality in Fort Campbell North, Kentucky is poor, limit outdoor activities and use a mask to safeguard your health.

What are the current PM_2.5 levels in Fort Campbell North, Kentucky?

The measured PM_2.5 levels in Fort Campbell North, Kentucky at present are 2.086 μg/m³.

What are the current PM₁₀ levels at Fort Campbell North, Kentucky?

The current PM₁₀ levels in Fort Campbell North, Kentucky are 8.38 μg/m³.

What are the current carbon monoxide (CO) levels at Fort Campbell North, Kentucky?

The current carbon monoxide (CO) level in Fort Campbell North, Kentucky is 0.206 ppm.

What are the current sulfur dioxide (SO₂) levels at Fort Campbell North, Kentucky?

The current sulfur dioxide (SO₂) levels in Fort Campbell North, Kentucky are 0.933 ppb.

What are the current ozone (O₃) levels at Fort Campbell North, Kentucky?

The current ozone (O₃) levels at Fort Campbell North, Kentucky is 36.481 ppm.

What are the current nitrogen dioxide (NO₂) levels at Fort Campbell North, Kentucky?

The current nitrogen dioxide (NO₂) levels at Fort Campbell North, Kentucky is 4.536 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T22:00:00.000Z	28 \| good	0.675 \| good	3 \| good	30.392 \| good	0.46 \| good	1.857 \| good	0.179 \| good
2025-10-19T23:00:00.000Z	29 \| good	0.557 \| good	1.963 \| good	31.389 \| good	0.411 \| good	2.436 \| good	0.179 \| good
2025-10-20T00:00:00.000Z	29 \| good	1.625 \| good	6.424 \| good	31.292 \| good	0.509 \| good	4.244 \| good	0.174 \| good
2025-10-20T01:00:00.000Z	29 \| good	2.697 \| good	10.948 \| good	30.51 \| good	0.478 \| good	8.366 \| good	0.254 \| good
2025-10-20T02:00:00.000Z	26 \| good	2.047 \| good	8.403 \| good	27.527 \| good	0.528 \| good	8.732 \| good	0.22 \| good
2025-10-20T03:00:00.000Z	20 \| good	2.623 \| good	10.227 \| good	21.825 \| good	0.545 \| good	7.58 \| good	0.227 \| good
2025-10-20T04:00:00.000Z	23 \| good	2.619 \| good	10.184 \| good	24.565 \| good	0.537 \| good	7.58 \| good	0.227 \| good
2025-10-20T05:00:00.000Z	22 \| good	3.692 \| good	15.918 \| good	19.417 \| good	0.52 \| good	9.717 \| good	0.227 \| good
2025-10-20T06:00:00.000Z	22 \| good	3.71 \| good	16.09 \| good	19.996 \| good	0.547 \| good	9.001 \| good	0.241 \| good
2025-10-20T07:00:00.000Z	18 \| good	1.713 \| good	7.052 \| good	19.193 \| good	0.56 \| good	7.022 \| good	0.206 \| good
2025-10-20T08:00:00.000Z	38 \| good	6.682 \| good	29.318 \| good	17.227 \| good	0.312 \| good	9.675 \| good	0.193 \| good
2025-10-20T09:00:00.000Z	27 \| good	4.509 \| good	19.613 \| good	13.755 \| good	0.315 \| good	11.578 \| good	0.213 \| good
2025-10-20T10:00:00.000Z	22 \| good	3.641 \| good	16.188 \| good	16.444 \| good	0.524 \| good	10.572 \| good	0.226 \| good
2025-10-20T11:00:00.000Z	11 \| good	1.92 \| good	8.116 \| good	12.188 \| good	0.381 \| good	11.845 \| good	0.266 \| good
2025-10-20T12:00:00.000Z	12 \| good	0.964 \| good	4.287 \| good	7.1 \| good	0.662 \| good	13.401 \| good	0.393 \| good
2025-10-20T13:00:00.000Z	16 \| good	2.225 \| good	9.694 \| good	8.818 \| good	0.629 \| good	16.749 \| good	0.363 \| good
2025-10-20T14:00:00.000Z	22 \| good	3.873 \| good	11.895 \| good	7.641 \| good	0.553 \| good	12.698 \| good	0.424 \| good
2025-10-20T15:00:00.000Z	12 \| good	0.997 \| good	4.42 \| good	13.078 \| good	2.131 \| good	11.921 \| good	0.332 \| good
2025-10-20T16:00:00.000Z	19 \| good	1.321 \| good	5.163 \| good	21.21 \| good	3.282 \| good	9.818 \| good	0.273 \| good
2025-10-20T17:00:00.000Z	24 \| good	1.187 \| good	4.571 \| good	25.817 \| good	1.644 \| good	6.349 \| good	0.207 \| good
2025-10-20T18:00:00.000Z	23 \| good	1.631 \| good	6.911 \| good	24.559 \| good	0.715 \| good	5.744 \| good	0.194 \| good
2025-10-20T19:00:00.000Z	26 \| good	3.369 \| good	14.68 \| good	27.565 \| good	1.133 \| good	5.25 \| good	0.16 \| good
2025-10-20T20:00:00.000Z	29 \| good	1.622 \| good	6.529 \| good	30.629 \| good	1.021 \| good	5.305 \| good	0.194 \| good
2025-10-20T21:00:00.000Z	31 \| good	1.354 \| good	5.566 \| good	33.348 \| good	0.752 \| good	6.534 \| good	0.214 \| good
2025-10-20T22:00:00.000Z	32 \| good	3.126 \| good	13.559 \| good	34.913 \| good	0.796 \| good	5.492 \| good	0.194 \| good
2025-10-20T23:00:00.000Z	31 \| good	1.449 \| good	5.63 \| good	34.362 \| good	0.538 \| good	7.482 \| good	0.234 \| good
2025-10-21T00:00:00.000Z	32 \| good	3.179 \| good	14.306 \| good	35.169 \| good	0.753 \| good	9.292 \| good	0.234 \| good
2025-10-21T01:00:00.000Z	30 \| good	3.487 \| good	15.235 \| good	31.917 \| good	0.758 \| good	5.722 \| good	0.234 \| good
2025-10-21T02:00:00.000Z	30 \| good	2.806 \| good	11.756 \| good	32.305 \| good	0.613 \| good	9.026 \| good	0.235 \| good
2025-10-21T03:00:00.000Z	36 \| good	0.387 \| good	1.549 \| good	38.508 \| good	1.096 \| good	1.809 \| good	0.131 \| good
2025-10-21T04:00:00.000Z	28 \| good	5.078 \| good	22.294 \| good	29.746 \| good	2.805 \| good	6.87 \| good	0.217 \| good
2025-10-21T05:00:00.000Z	29 \| good	5.057 \| good	22.205 \| good	31.202 \| good	5.76 \| good	6.49 \| good	0.222 \| good
2025-10-21T06:00:00.000Z	28 \| good	3.725 \| good	16.004 \| good	29.988 \| good	8.555 \| good	6.83 \| good	0.173 \| good
2025-10-21T07:00:00.000Z	27 \| good	1.076 \| good	4.526 \| good	29.346 \| good	2.874 \| good	2.627 \| good	0.2 \| good
2025-10-21T08:00:00.000Z	28 \| good	2.902 \| good	11.757 \| good	29.616 \| good	0.456 \| good	6.681 \| good	0.197 \| good
2025-10-21T09:00:00.000Z	30 \| good	2.966 \| good	12.014 \| good	31.952 \| good	0.451 \| good	10.634 \| good	0.22 \| good
2025-10-21T10:00:00.000Z	33 \| good	6.169 \| good	27.075 \| good	30.549 \| good	0.893 \| good	13.001 \| good	0.236 \| good
2025-10-21T11:00:00.000Z	33 \| good	5.636 \| good	24.338 \| good	29.592 \| good	0.781 \| good	11.306 \| good	0.217 \| good
2025-10-21T12:00:00.000Z	26 \| good	3.948 \| good	17.161 \| good	27.659 \| good	0.465 \| good	9.547 \| good	0.243 \| good
2025-10-21T13:00:00.000Z	33 \| good	5.642 \| good	24.487 \| good	28.534 \| good	0.441 \| good	7.154 \| good	0.433 \| good
2025-10-21T14:00:00.000Z	25 \| good	2.498 \| good	10.457 \| good	26.588 \| good	0.646 \| good	9.3 \| good	0.468 \| good
2025-10-21T15:00:00.000Z	24 \| good	3.243 \| good	12.992 \| good	26.353 \| good	0.589 \| good	8.04 \| good	0.353 \| good
2025-10-21T16:00:00.000Z	28 \| good	3.7 \| good	16.222 \| good	30.107 \| good	0.868 \| good	4.268 \| good	0.176 \| good
2025-10-21T17:00:00.000Z	31 \| good	3.669 \| good	16.143 \| good	32.867 \| good	0.841 \| good	4.786 \| good	0.234 \| good
2025-10-21T18:00:00.000Z	31 \| good	2.907 \| good	12.366 \| good	33.065 \| good	0.833 \| good	3.723 \| good	0.194 \| good
2025-10-21T19:00:00.000Z	31 \| good	2.397 \| good	10.265 \| good	34.378 \| good	0.812 \| good	3.565 \| good	0.194 \| good
2025-10-21T20:00:00.000Z	33 \| good	2.086 \| good	8.38 \| good	36.481 \| good	0.933 \| good	4.536 \| good	0.206 \| good
2025-10-21T21:00:00.000Z	33 \| good	2.086 \| good	8.38 \| good	36.481 \| good	0.933 \| good	4.536 \| good	0.206 \| good
2025-10-21T22:00:00.000Z	33 \| good	0.69 \| good	2.461 \| good	36.386 \| good	0.558 \| good	0.886 \| good	0.119 \| good
2025-10-21T23:00:00.000Z	31 \| good	1.371 \| good	5.472 \| good	33.718 \| good	0.541 \| good	1.262 \| good	0.122 \| good
2025-10-22T00:00:00.000Z	31 \| good	0.664 \| good	2.618 \| good	32.734 \| good	0.524 \| good	1.638 \| good	0.125 \| good
2025-10-22T01:00:00.000Z	32 \| good	1.354 \| good	5.585 \| good	34.854 \| good	0.521 \| good	1.855 \| good	0.128 \| good
2025-10-22T02:00:00.000Z	30 \| good	0.553 \| good	2.162 \| good	31.711 \| good	0.518 \| good	2.071 \| good	0.131 \| good
2025-10-22T03:00:00.000Z	28 \| good	2.298 \| good	9.329 \| good	29.636 \| good	0.515 \| good	2.288 \| good	0.134 \| good
2025-10-22T04:00:00.000Z	26 \| good	1.198 \| good	4.792 \| good	27.997 \| good	0.504 \| good	2.195 \| good	0.133 \| good
2025-10-22T05:00:00.000Z	23 \| good	0.53 \| good	1.89 \| good	25.085 \| good	0.494 \| good	2.103 \| good	0.133 \| good
2025-10-22T06:00:00.000Z	27 \| good	4.988 \| good	21.546 \| good	23.66 \| good	0.484 \| good	2.011 \| good	0.133 \| good
2025-10-22T07:00:00.000Z	20 \| good	1.054 \| good	4.225 \| good	21.734 \| good	0.489 \| good	1.932 \| good	0.132 \| good
2025-10-22T08:00:00.000Z	19 \| good	2.269 \| good	9.328 \| good	20.673 \| good	0.494 \| good	1.852 \| good	0.131 \| good
2025-10-22T09:00:00.000Z	20 \| good	0.914 \| good	3.531 \| good	22.225 \| good	0.499 \| good	1.773 \| good	0.13 \| good
2025-10-22T10:00:00.000Z	19 \| good	1.251 \| good	4.93 \| good	20.013 \| good	0.507 \| good	1.94 \| good	0.13 \| good
2025-10-22T11:00:00.000Z	17 \| good	2.528 \| good	10.391 \| good	18.349 \| good	0.515 \| good	2.107 \| good	0.131 \| good
2025-10-22T12:00:00.000Z	20 \| good	0.393 \| good	1.32 \| good	21.707 \| good	0.523 \| good	2.274 \| good	0.132 \| good
2025-10-22T13:00:00.000Z	24 \| good	1.302 \| good	5.131 \| good	25.954 \| good	0.589 \| good	2.007 \| good	0.129 \| good
2025-10-22T14:00:00.000Z	28 \| good	1.799 \| good	7.697 \| good	30.298 \| good	0.655 \| good	1.74 \| good	0.126 \| good
2025-10-22T15:00:00.000Z	30 \| good	1.998 \| good	8 \| good	31.666 \| good	0.722 \| good	1.473 \| good	0.123 \| good
2025-10-22T16:00:00.000Z	31 \| good	0.184 \| good	0.163 \| good	34.238 \| good	0.725 \| good	1.204 \| good	0.118 \| good
2025-10-22T17:00:00.000Z	34 \| good	3.945 \| good	17.194 \| good	36.714 \| good	0.728 \| good	0.934 \| good	0.113 \| good
2025-10-22T18:00:00.000Z	36 \| good	0.774 \| good	2.829 \| good	38.912 \| good	0.732 \| good	0.664 \| good	0.108 \| good
2025-10-22T19:00:00.000Z	36 \| good	1.656 \| good	6.853 \| good	39.083 \| good	0.719 \| good	0.658 \| good	0.108 \| good
2025-10-22T20:00:00.000Z	34 \| good	2.492 \| good	9.967 \| good	37.179 \| good	0.707 \| good	0.653 \| good	0.108 \| good
2025-10-22T21:00:00.000Z	32 \| good	2.052 \| good	8.537 \| good	35.419 \| good	0.695 \| good	0.648 \| good	0.109 \| good
2025-10-22T22:00:00.000Z	30 \| good	3.51 \| good	15.476 \| good	31.829 \| good	0.662 \| good	1.401 \| good	0.116 \| good
2025-10-22T23:00:00.000Z	29 \| good	4.025 \| good	17.77 \| good	30.84 \| good	0.629 \| good	2.154 \| good	0.124 \| good
2025-10-23T00:00:00.000Z	29 \| good	1.918 \| good	7.988 \| good	31.445 \| good	0.596 \| good	2.907 \| good	0.132 \| good
2025-10-23T01:00:00.000Z	26 \| good	1.549 \| good	6.479 \| good	27.902 \| good	0.56 \| good	2.957 \| good	0.134 \| good
2025-10-23T02:00:00.000Z	23 \| good	1.247 \| good	5.276 \| good	24.606 \| good	0.524 \| good	3.007 \| good	0.137 \| good
2025-10-23T03:00:00.000Z	20 \| good	2.134 \| good	8.573 \| good	21.77 \| good	0.487 \| good	3.057 \| good	0.139 \| good
2025-10-23T04:00:00.000Z	17 \| good	0.961 \| good	3.699 \| good	17.768 \| good	0.478 \| good	3.094 \| good	0.14 \| good
2025-10-23T05:00:00.000Z	17 \| good	1.161 \| good	4.701 \| good	17.699 \| good	0.469 \| good	3.131 \| good	0.141 \| good
2025-10-23T06:00:00.000Z	27 \| good	4.561 \| good	19.742 \| good	20.028 \| good	0.459 \| good	3.169 \| good	0.142 \| good
2025-10-23T07:00:00.000Z	19 \| good	1.172 \| good	4.581 \| good	20.793 \| good	0.48 \| good	3.315 \| good	0.143 \| good
2025-10-23T08:00:00.000Z	14 \| good	2.262 \| good	9.335 \| good	14.728 \| good	0.5 \| good	3.462 \| good	0.145 \| good
2025-10-23T09:00:00.000Z	17 \| good	0.65 \| good	2.379 \| good	17.673 \| good	0.52 \| good	3.609 \| good	0.146 \| good
2025-10-23T10:00:00.000Z	15 \| good	1.414 \| good	5.498 \| good	15.78 \| good	0.556 \| good	4.408 \| good	0.152 \| good
2025-10-23T11:00:00.000Z	11 \| good	2.353 \| good	9.631 \| good	10.884 \| good	0.591 \| good	5.208 \| good	0.159 \| good
2025-10-23T12:00:00.000Z	10 \| good	0.486 \| good	1.981 \| good	10.723 \| good	0.627 \| good	6.008 \| good	0.165 \| good
2025-10-23T13:00:00.000Z	27 \| good	5.363 \| good	22.983 \| good	13.789 \| good	0.892 \| good	4.853 \| good	0.159 \| good
2025-10-23T14:00:00.000Z	22 \| good	3.784 \| good	16.362 \| good	23.026 \| good	1.157 \| good	3.697 \| good	0.153 \| good
2025-10-23T15:00:00.000Z	28 \| good	4.41 \| good	19.301 \| good	30.071 \| good	1.422 \| good	2.542 \| good	0.146 \| good
2025-10-23T16:00:00.000Z	32 \| good	2.715 \| good	11.156 \| good	35.484 \| good	1.42 \| good	1.994 \| good	0.139 \| good
2025-10-23T17:00:00.000Z	35 \| good	4.012 \| good	17.376 \| good	37.636 \| good	1.418 \| good	1.446 \| good	0.132 \| good
2025-10-23T18:00:00.000Z	36 \| good	2.029 \| good	8.135 \| good	39.05 \| good	1.415 \| good	0.898 \| good	0.125 \| good
2025-10-23T19:00:00.000Z	37 \| good	3.262 \| good	14.095 \| good	39.514 \| good	1.338 \| good	0.844 \| good	0.125 \| good
2025-10-23T20:00:00.000Z	35 \| good	3.226 \| good	14.095 \| good	37.917 \| good	1.26 \| good	0.79 \| good	0.124 \| good
2025-10-23T21:00:00.000Z	36 \| good	3.718 \| good	16.114 \| good	38.579 \| good	1.183 \| good	0.736 \| good	0.124 \| good

Real-time air quality index in Fort Campbell North, Kentucky today

Common air pollutants in Fort Campbell North, Kentucky

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Fort Campbell North, Kentucky air quality forecast and history

Empower business decisions with accurate air quality data

Fort Campbell North, Kentucky air quality map: Real-time AQI near you

Air quality in nearby cities

Clarksville, Tennessee

Hopkinsville, Kentucky

Springfield, Tennessee

Dickson, Tennessee

Madisonville, Kentucky

Murray, Kentucky

How accurate is Kentucky, USA air quality data?

Air quality levels in US

Frequently asked questions

How frequently is the air quality data for Fort Campbell North, Kentucky updated?

When did Fort Campbell North, Kentucky experience the worst air quality in the last 24 hours?

When did Fort Campbell North, Kentucky have its best air quality in the last 24 hours?

What is the real-time air quality index for Fort Campbell North, Kentucky?

Which pollutant is found most often in Fort Campbell North, Kentucky?

What can I do if the air quality in Fort Campbell North, Kentucky is poor?

What are the current PM2.5 levels in Fort Campbell North, Kentucky?

What are the current PM10 levels at Fort Campbell North, Kentucky?

What are the current carbon monoxide (CO) levels at Fort Campbell North, Kentucky?

What are the current sulfur dioxide (SO2) levels at Fort Campbell North, Kentucky?

What are the current ozone (O3) levels at Fort Campbell North, Kentucky?

What are the current nitrogen dioxide (NO2) levels at Fort Campbell North, Kentucky?

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 Fort Campbell North, Kentucky?

What are the current PM₁₀ levels at Fort Campbell North, Kentucky?

What are the current sulfur dioxide (SO₂) levels at Fort Campbell North, Kentucky?

What are the current ozone (O₃) levels at Fort Campbell North, Kentucky?

What are the current nitrogen dioxide (NO₂) levels at Fort Campbell North, Kentucky?