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

The current PM10 levels in Fort Campbell North, Kentucky are 29.615 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 0.641 ppb.

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

The current ozone (O3) levels at Fort Campbell North, Kentucky is 35.649 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 7.485 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)

6.72 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

29.61 μg/m³

155

255

425

605+

Ozone (O₃)

35.65 ppb

201

201+

Sulfur Dioxide (SO₂)

0.64 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

7.49 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.19 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

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
2025-09-01T21:00:00.000Z	39 \| good	3.641 \| good	16.322 \| good	41.599 \| good	0.998 \| good	4.434 \| good	0.195 \| good
2025-09-01T22:00:00.000Z	38 \| good	4.972 \| good	21.643 \| good	40.978 \| good	0.557 \| good	3.896 \| good	0.187 \| good
2025-09-01T23:00:00.000Z	38 \| good	6.56 \| good	28.655 \| good	40.782 \| good	0.711 \| good	6.2 \| good	0.175 \| good
2025-09-02T00:00:00.000Z	41 \| good	6.896 \| good	30.601 \| good	44.131 \| good	0.506 \| good	6.486 \| good	0.201 \| good
2025-09-02T01:00:00.000Z	35 \| good	4.755 \| good	20.81 \| good	37.7 \| good	0.686 \| good	8.304 \| good	0.221 \| good
2025-09-02T02:00:00.000Z	33 \| good	4.209 \| good	18.483 \| good	36.131 \| good	1.75 \| good	9.46 \| good	0.28 \| good
2025-09-02T03:00:00.000Z	33 \| good	5.281 \| good	22.892 \| good	35.978 \| good	1.929 \| good	7.082 \| good	0.28 \| good
2025-09-02T04:00:00.000Z	31 \| good	4.093 \| good	17.438 \| good	33.358 \| good	1.171 \| good	8.506 \| good	0.281 \| good
2025-09-02T05:00:00.000Z	29 \| good	5.06 \| good	21.875 \| good	30.866 \| good	1.107 \| good	9.725 \| good	0.234 \| good
2025-09-02T06:00:00.000Z	27 \| good	5.052 \| good	21.875 \| good	28.479 \| good	0.946 \| good	9.296 \| good	0.246 \| good
2025-09-02T07:00:00.000Z	27 \| good	5.081 \| good	21.934 \| good	29.03 \| good	0.896 \| good	10.032 \| good	0.22 \| good
2025-09-02T08:00:00.000Z	27 \| good	5.137 \| good	22.173 \| good	24.688 \| good	0.917 \| good	7.941 \| good	0.233 \| good
2025-09-02T09:00:00.000Z	38 \| good	6.863 \| good	30.451 \| good	23.328 \| good	0.77 \| good	13.416 \| good	0.194 \| good
2025-09-02T10:00:00.000Z	38 \| good	6.81 \| good	29.657 \| good	25.368 \| good	0.73 \| good	13.651 \| good	0.215 \| good
2025-09-02T11:00:00.000Z	33 \| good	5.884 \| good	25.433 \| good	21.292 \| good	0.694 \| good	16.116 \| good	0.261 \| good
2025-09-02T12:00:00.000Z	38 \| good	6.64 \| good	29.207 \| good	18.67 \| good	0.949 \| good	17.845 \| good	0.361 \| good
2025-09-02T13:00:00.000Z	52 \| moderate	9.877 \| good	44.052 \| good	23.524 \| good	0.744 \| good	16.301 \| good	0.449 \| good
2025-09-02T14:00:00.000Z	38 \| good	6.928 \| good	30.491 \| good	23.319 \| good	0.788 \| good	16.233 \| good	0.401 \| good
2025-09-02T15:00:00.000Z	38 \| good	7.366 \| good	32.351 \| good	24.718 \| good	1.29 \| good	10.657 \| good	0.341 \| good
2025-09-02T16:00:00.000Z	38 \| good	7.252 \| good	31.668 \| good	26.836 \| good	8.207 \| good	8.884 \| good	0.302 \| good
2025-09-02T17:00:00.000Z	49 \| good	9.077 \| good	32.404 \| good	30.933 \| good	5.808 \| good	5.653 \| good	0.242 \| good
2025-09-02T18:00:00.000Z	52 \| moderate	10.44 \| good	46.259 \| good	35.155 \| good	3.074 \| good	3.86 \| good	0.192 \| good
2025-09-02T19:00:00.000Z	44 \| good	8.442 \| good	36.664 \| good	38.353 \| good	0.978 \| good	3.079 \| good	0.151 \| good
2025-09-02T20:00:00.000Z	52 \| moderate	9.517 \| good	42.764 \| good	37.27 \| good	2.181 \| good	5.602 \| good	0.201 \| good
2025-09-02T21:00:00.000Z	52 \| moderate	9.6 \| good	42.237 \| good	39.474 \| good	1.231 \| good	8.484 \| good	0.227 \| good
2025-09-02T22:00:00.000Z	49 \| good	9.455 \| good	41.574 \| good	38.206 \| good	0.583 \| good	9.394 \| good	0.251 \| good
2025-09-02T23:00:00.000Z	44 \| good	7.698 \| good	33.123 \| good	34.018 \| good	0.603 \| good	5.784 \| good	0.2 \| good
2025-09-03T00:00:00.000Z	44 \| good	7.688 \| good	33.121 \| good	37.124 \| good	0.58 \| good	5.94 \| good	0.192 \| good
2025-09-03T01:00:00.000Z	29 \| good	5.295 \| good	22.593 \| good	31.486 \| good	0.521 \| good	8.324 \| good	0.233 \| good
2025-09-03T02:00:00.000Z	38 \| good	7.24 \| good	31.4 \| good	27.824 \| good	0.438 \| good	8.88 \| good	0.281 \| good
2025-09-03T03:00:00.000Z	29 \| good	4.254 \| good	18.686 \| good	31.272 \| good	0.882 \| good	3.97 \| good	0.185 \| good
2025-09-03T04:00:00.000Z	33 \| good	5.827 \| good	25.181 \| good	29.92 \| good	0.404 \| good	12.911 \| good	0.335 \| good
2025-09-03T05:00:00.000Z	27 \| good	5.173 \| good	21.862 \| good	23.578 \| good	0.417 \| good	12.073 \| good	0.303 \| good
2025-09-03T06:00:00.000Z	27 \| good	5.319 \| good	22.518 \| good	23.42 \| good	0.45 \| good	10.992 \| good	0.297 \| good
2025-09-03T07:00:00.000Z	27 \| good	4.662 \| good	20.119 \| good	16.289 \| good	0.469 \| good	11.133 \| good	0.272 \| good
2025-09-03T08:00:00.000Z	26 \| good	3.623 \| good	14.917 \| good	28.277 \| good	0.413 \| good	16.222 \| good	0.296 \| good
2025-09-03T09:00:00.000Z	22 \| good	3.663 \| good	15.061 \| good	23.675 \| good	0.376 \| good	13.101 \| good	0.306 \| good
2025-09-03T10:00:00.000Z	22 \| good	4.442 \| good	19.45 \| good	16.88 \| good	0.562 \| good	9.807 \| good	0.307 \| good
2025-09-03T11:00:00.000Z	22 \| good	4.407 \| good	18.789 \| good	12.463 \| good	0.789 \| good	13.86 \| good	0.349 \| good
2025-09-03T12:00:00.000Z	22 \| good	4.358 \| good	18.521 \| good	13.428 \| good	0.753 \| good	14.246 \| good	0.393 \| good
2025-09-03T13:00:00.000Z	16 \| good	3.18 \| good	13.066 \| good	7.471 \| good	0.784 \| good	13.316 \| good	0.408 \| good
2025-09-03T14:00:00.000Z	16 \| good	3.111 \| good	12.84 \| good	13.404 \| good	0.863 \| good	11.91 \| good	0.346 \| good
2025-09-03T15:00:00.000Z	38 \| good	6.594 \| good	29.298 \| good	18.755 \| good	1.037 \| good	8.223 \| good	0.285 \| good
2025-09-03T16:00:00.000Z	33 \| good	6.222 \| good	26.53 \| good	19.189 \| good	1.487 \| good	8.433 \| good	0.273 \| good
2025-09-03T17:00:00.000Z	33 \| good	6.179 \| good	26.351 \| good	24.552 \| good	0.823 \| good	7.715 \| good	0.247 \| good
2025-09-03T18:00:00.000Z	38 \| good	7.464 \| good	32.312 \| good	32.214 \| good	0.753 \| good	4.784 \| good	0.2 \| good
2025-09-03T19:00:00.000Z	38 \| good	6.723 \| good	29.615 \| good	35.649 \| good	0.641 \| good	7.485 \| good	0.191 \| good
2025-09-03T20:00:00.000Z	38 \| good	6.723 \| good	29.615 \| good	35.649 \| good	0.641 \| good	7.485 \| good	0.191 \| good
2025-09-02T00:00:00.000Z	33 \| good	5.782 \| good	24.907 \| good	35.263 \| good	1.454 \| good	2.5 \| good	0.176 \| good
2025-09-02T01:00:00.000Z	34 \| good	6.339 \| good	28.147 \| good	36.978 \| good	1.261 \| good	2.543 \| good	0.182 \| good
2025-09-02T02:00:00.000Z	44 \| good	7.627 \| good	33.349 \| good	35.219 \| good	1.067 \| good	2.585 \| good	0.188 \| good
2025-09-02T03:00:00.000Z	38 \| good	7.235 \| good	32.074 \| good	32.119 \| good	0.874 \| good	2.627 \| good	0.194 \| good
2025-09-02T04:00:00.000Z	38 \| good	6.869 \| good	30.594 \| good	30.967 \| good	0.837 \| good	2.701 \| good	0.196 \| good
2025-09-02T05:00:00.000Z	33 \| good	6.051 \| good	26.899 \| good	31.439 \| good	0.801 \| good	2.776 \| good	0.198 \| good
2025-09-02T06:00:00.000Z	44 \| good	7.582 \| good	33.622 \| good	26.394 \| good	0.765 \| good	2.85 \| good	0.2 \| good
2025-09-02T07:00:00.000Z	38 \| good	6.962 \| good	30.637 \| good	23.896 \| good	0.802 \| good	2.814 \| good	0.2 \| good
2025-09-02T08:00:00.000Z	44 \| good	7.609 \| good	33.512 \| good	20.39 \| good	0.84 \| good	2.777 \| good	0.199 \| good
2025-09-02T09:00:00.000Z	49 \| good	9.371 \| good	41.576 \| good	20.466 \| good	0.878 \| good	2.74 \| good	0.199 \| good
2025-09-02T10:00:00.000Z	38 \| good	6.818 \| good	30.144 \| good	21.972 \| good	0.913 \| good	3.05 \| good	0.202 \| good
2025-09-02T11:00:00.000Z	22 \| good	3.967 \| good	17.19 \| good	20.928 \| good	0.948 \| good	3.359 \| good	0.205 \| good
2025-09-02T12:00:00.000Z	38 \| good	7.444 \| good	32.794 \| good	25.7 \| good	0.982 \| good	3.669 \| good	0.209 \| good
2025-09-02T13:00:00.000Z	49 \| good	9.368 \| good	41.837 \| good	30.367 \| good	1.216 \| good	3.059 \| good	0.204 \| good
2025-09-02T14:00:00.000Z	52 \| moderate	9.935 \| good	44.093 \| good	40.32 \| good	1.45 \| good	2.449 \| good	0.2 \| good
2025-09-02T15:00:00.000Z	49 \| good	8.61 \| good	37.726 \| good	44.789 \| good	1.684 \| good	1.839 \| good	0.196 \| good
2025-09-02T16:00:00.000Z	39 \| good	5.367 \| good	23.197 \| good	42.317 \| good	1.729 \| good	1.52 \| good	0.193 \| good
2025-09-02T17:00:00.000Z	40 \| good	4.855 \| good	21.069 \| good	42.953 \| good	1.773 \| good	1.201 \| good	0.189 \| good
2025-09-02T18:00:00.000Z	42 \| good	4.139 \| good	18.154 \| good	44.633 \| good	1.817 \| good	0.883 \| good	0.186 \| good
2025-09-02T19:00:00.000Z	42 \| good	3.478 \| good	15.517 \| good	44.944 \| good	1.745 \| good	0.99 \| good	0.187 \| good
2025-09-02T20:00:00.000Z	41 \| good	5.048 \| good	21.837 \| good	44.168 \| good	1.673 \| good	1.097 \| good	0.188 \| good
2025-09-02T21:00:00.000Z	42 \| good	6.402 \| good	28.451 \| good	44.601 \| good	1.601 \| good	1.205 \| good	0.189 \| good
2025-09-02T22:00:00.000Z	36 \| good	4.077 \| good	17.979 \| good	39.141 \| good	1.384 \| good	1.587 \| good	0.195 \| good
2025-09-02T23:00:00.000Z	34 \| good	4.928 \| good	21.312 \| good	37.443 \| good	1.166 \| good	1.97 \| good	0.201 \| good
2025-09-03T00:00:00.000Z	33 \| good	6.141 \| good	26.985 \| good	34.335 \| good	0.949 \| good	2.352 \| good	0.207 \| good
2025-09-03T01:00:00.000Z	44 \| good	7.973 \| good	35.125 \| good	32.61 \| good	0.917 \| good	2.658 \| good	0.212 \| good
2025-09-03T02:00:00.000Z	49 \| good	8.975 \| good	39.864 \| good	26.999 \| good	0.884 \| good	2.963 \| good	0.217 \| good
2025-09-03T03:00:00.000Z	38 \| good	7.326 \| good	32.364 \| good	27.855 \| good	0.851 \| good	3.269 \| good	0.222 \| good
2025-09-03T04:00:00.000Z	38 \| good	7.367 \| good	32.405 \| good	23.646 \| good	0.824 \| good	3.408 \| good	0.223 \| good
2025-09-03T05:00:00.000Z	38 \| good	7.005 \| good	30.951 \| good	23.371 \| good	0.797 \| good	3.546 \| good	0.224 \| good
2025-09-03T06:00:00.000Z	38 \| good	7.355 \| good	32.443 \| good	23.312 \| good	0.771 \| good	3.685 \| good	0.225 \| good
2025-09-03T07:00:00.000Z	27 \| good	5.346 \| good	23.114 \| good	24.908 \| good	0.735 \| good	3.298 \| good	0.221 \| good
2025-09-03T08:00:00.000Z	44 \| good	8.022 \| good	35.009 \| good	21.983 \| good	0.7 \| good	2.911 \| good	0.217 \| good
2025-09-03T09:00:00.000Z	54 \| moderate	10.669 \| good	47.542 \| good	18.991 \| good	0.664 \| good	2.524 \| good	0.213 \| good
2025-09-03T10:00:00.000Z	38 \| good	7.206 \| good	31.631 \| good	20.564 \| good	0.615 \| good	2.448 \| good	0.21 \| good
2025-09-03T11:00:00.000Z	27 \| good	5.179 \| good	22.564 \| good	20.617 \| good	0.566 \| good	2.372 \| good	0.208 \| good
2025-09-03T12:00:00.000Z	33 \| good	5.506 \| good	23.761 \| good	30.754 \| good	0.517 \| good	2.295 \| good	0.205 \| good
2025-09-03T13:00:00.000Z	33 \| good	5.834 \| good	25.657 \| good	36.073 \| good	0.522 \| good	1.881 \| good	0.201 \| good
2025-09-03T14:00:00.000Z	37 \| good	5.295 \| good	22.748 \| good	40.392 \| good	0.526 \| good	1.467 \| good	0.196 \| good
2025-09-03T15:00:00.000Z	42 \| good	6.979 \| good	31.198 \| good	44.87 \| good	0.531 \| good	1.053 \| good	0.192 \| good
2025-09-03T16:00:00.000Z	44 \| good	6.206 \| good	27.475 \| good	47.38 \| good	0.6 \| good	0.907 \| good	0.191 \| good
2025-09-03T17:00:00.000Z	45 \| good	6.947 \| good	30.772 \| good	49.173 \| good	0.67 \| good	0.761 \| good	0.19 \| good
2025-09-03T18:00:00.000Z	44 \| good	6.257 \| good	27.938 \| good	47.41 \| good	0.739 \| good	0.615 \| good	0.19 \| good
2025-09-03T19:00:00.000Z	43 \| good	5.924 \| good	25.836 \| good	45.625 \| good	0.663 \| good	0.673 \| good	0.187 \| good
2025-09-03T20:00:00.000Z	44 \| good	3.181 \| good	13.851 \| good	46.574 \| good	0.587 \| good	0.731 \| good	0.184 \| good
2025-09-03T21:00:00.000Z	44 \| good	6.93 \| good	30.501 \| good	47.036 \| good	0.511 \| good	0.789 \| good	0.181 \| good
2025-09-03T22:00:00.000Z	40 \| good	5.892 \| good	25.548 \| good	43.457 \| good	0.574 \| good	1.607 \| good	0.189 \| good
2025-09-03T23:00:00.000Z	38 \| good	6.178 \| good	27.526 \| good	41.118 \| good	0.638 \| good	2.426 \| good	0.196 \| good

Fort Campbell North

Empower business decisions with accurate air quality data

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

0.17ppm

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 09:00:00 on 2025-09-02.

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 02:00:00 on 2025-09-03.

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 38, 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 PM2.5.

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 6.723 μg/m³.

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

The current PM₁₀ levels in Fort Campbell North, Kentucky are 29.615 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 0.191 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 0.641 ppb.

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

The current ozone (O₃) levels at Fort Campbell North, Kentucky is 35.649 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 7.485 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-09-01T21:00:00.000Z	39 \| good	3.641 \| good	16.322 \| good	41.599 \| good	0.998 \| good	4.434 \| good	0.195 \| good
2025-09-01T22:00:00.000Z	38 \| good	4.972 \| good	21.643 \| good	40.978 \| good	0.557 \| good	3.896 \| good	0.187 \| good
2025-09-01T23:00:00.000Z	38 \| good	6.56 \| good	28.655 \| good	40.782 \| good	0.711 \| good	6.2 \| good	0.175 \| good
2025-09-02T00:00:00.000Z	41 \| good	6.896 \| good	30.601 \| good	44.131 \| good	0.506 \| good	6.486 \| good	0.201 \| good
2025-09-02T01:00:00.000Z	35 \| good	4.755 \| good	20.81 \| good	37.7 \| good	0.686 \| good	8.304 \| good	0.221 \| good
2025-09-02T02:00:00.000Z	33 \| good	4.209 \| good	18.483 \| good	36.131 \| good	1.75 \| good	9.46 \| good	0.28 \| good
2025-09-02T03:00:00.000Z	33 \| good	5.281 \| good	22.892 \| good	35.978 \| good	1.929 \| good	7.082 \| good	0.28 \| good
2025-09-02T04:00:00.000Z	31 \| good	4.093 \| good	17.438 \| good	33.358 \| good	1.171 \| good	8.506 \| good	0.281 \| good
2025-09-02T05:00:00.000Z	29 \| good	5.06 \| good	21.875 \| good	30.866 \| good	1.107 \| good	9.725 \| good	0.234 \| good
2025-09-02T06:00:00.000Z	27 \| good	5.052 \| good	21.875 \| good	28.479 \| good	0.946 \| good	9.296 \| good	0.246 \| good
2025-09-02T07:00:00.000Z	27 \| good	5.081 \| good	21.934 \| good	29.03 \| good	0.896 \| good	10.032 \| good	0.22 \| good
2025-09-02T08:00:00.000Z	27 \| good	5.137 \| good	22.173 \| good	24.688 \| good	0.917 \| good	7.941 \| good	0.233 \| good
2025-09-02T09:00:00.000Z	38 \| good	6.863 \| good	30.451 \| good	23.328 \| good	0.77 \| good	13.416 \| good	0.194 \| good
2025-09-02T10:00:00.000Z	38 \| good	6.81 \| good	29.657 \| good	25.368 \| good	0.73 \| good	13.651 \| good	0.215 \| good
2025-09-02T11:00:00.000Z	33 \| good	5.884 \| good	25.433 \| good	21.292 \| good	0.694 \| good	16.116 \| good	0.261 \| good
2025-09-02T12:00:00.000Z	38 \| good	6.64 \| good	29.207 \| good	18.67 \| good	0.949 \| good	17.845 \| good	0.361 \| good
2025-09-02T13:00:00.000Z	52 \| moderate	9.877 \| good	44.052 \| good	23.524 \| good	0.744 \| good	16.301 \| good	0.449 \| good
2025-09-02T14:00:00.000Z	38 \| good	6.928 \| good	30.491 \| good	23.319 \| good	0.788 \| good	16.233 \| good	0.401 \| good
2025-09-02T15:00:00.000Z	38 \| good	7.366 \| good	32.351 \| good	24.718 \| good	1.29 \| good	10.657 \| good	0.341 \| good
2025-09-02T16:00:00.000Z	38 \| good	7.252 \| good	31.668 \| good	26.836 \| good	8.207 \| good	8.884 \| good	0.302 \| good
2025-09-02T17:00:00.000Z	49 \| good	9.077 \| good	32.404 \| good	30.933 \| good	5.808 \| good	5.653 \| good	0.242 \| good
2025-09-02T18:00:00.000Z	52 \| moderate	10.44 \| good	46.259 \| good	35.155 \| good	3.074 \| good	3.86 \| good	0.192 \| good
2025-09-02T19:00:00.000Z	44 \| good	8.442 \| good	36.664 \| good	38.353 \| good	0.978 \| good	3.079 \| good	0.151 \| good
2025-09-02T20:00:00.000Z	52 \| moderate	9.517 \| good	42.764 \| good	37.27 \| good	2.181 \| good	5.602 \| good	0.201 \| good
2025-09-02T21:00:00.000Z	52 \| moderate	9.6 \| good	42.237 \| good	39.474 \| good	1.231 \| good	8.484 \| good	0.227 \| good
2025-09-02T22:00:00.000Z	49 \| good	9.455 \| good	41.574 \| good	38.206 \| good	0.583 \| good	9.394 \| good	0.251 \| good
2025-09-02T23:00:00.000Z	44 \| good	7.698 \| good	33.123 \| good	34.018 \| good	0.603 \| good	5.784 \| good	0.2 \| good
2025-09-03T00:00:00.000Z	44 \| good	7.688 \| good	33.121 \| good	37.124 \| good	0.58 \| good	5.94 \| good	0.192 \| good
2025-09-03T01:00:00.000Z	29 \| good	5.295 \| good	22.593 \| good	31.486 \| good	0.521 \| good	8.324 \| good	0.233 \| good
2025-09-03T02:00:00.000Z	38 \| good	7.24 \| good	31.4 \| good	27.824 \| good	0.438 \| good	8.88 \| good	0.281 \| good
2025-09-03T03:00:00.000Z	29 \| good	4.254 \| good	18.686 \| good	31.272 \| good	0.882 \| good	3.97 \| good	0.185 \| good
2025-09-03T04:00:00.000Z	33 \| good	5.827 \| good	25.181 \| good	29.92 \| good	0.404 \| good	12.911 \| good	0.335 \| good
2025-09-03T05:00:00.000Z	27 \| good	5.173 \| good	21.862 \| good	23.578 \| good	0.417 \| good	12.073 \| good	0.303 \| good
2025-09-03T06:00:00.000Z	27 \| good	5.319 \| good	22.518 \| good	23.42 \| good	0.45 \| good	10.992 \| good	0.297 \| good
2025-09-03T07:00:00.000Z	27 \| good	4.662 \| good	20.119 \| good	16.289 \| good	0.469 \| good	11.133 \| good	0.272 \| good
2025-09-03T08:00:00.000Z	26 \| good	3.623 \| good	14.917 \| good	28.277 \| good	0.413 \| good	16.222 \| good	0.296 \| good
2025-09-03T09:00:00.000Z	22 \| good	3.663 \| good	15.061 \| good	23.675 \| good	0.376 \| good	13.101 \| good	0.306 \| good
2025-09-03T10:00:00.000Z	22 \| good	4.442 \| good	19.45 \| good	16.88 \| good	0.562 \| good	9.807 \| good	0.307 \| good
2025-09-03T11:00:00.000Z	22 \| good	4.407 \| good	18.789 \| good	12.463 \| good	0.789 \| good	13.86 \| good	0.349 \| good
2025-09-03T12:00:00.000Z	22 \| good	4.358 \| good	18.521 \| good	13.428 \| good	0.753 \| good	14.246 \| good	0.393 \| good
2025-09-03T13:00:00.000Z	16 \| good	3.18 \| good	13.066 \| good	7.471 \| good	0.784 \| good	13.316 \| good	0.408 \| good
2025-09-03T14:00:00.000Z	16 \| good	3.111 \| good	12.84 \| good	13.404 \| good	0.863 \| good	11.91 \| good	0.346 \| good
2025-09-03T15:00:00.000Z	38 \| good	6.594 \| good	29.298 \| good	18.755 \| good	1.037 \| good	8.223 \| good	0.285 \| good
2025-09-03T16:00:00.000Z	33 \| good	6.222 \| good	26.53 \| good	19.189 \| good	1.487 \| good	8.433 \| good	0.273 \| good
2025-09-03T17:00:00.000Z	33 \| good	6.179 \| good	26.351 \| good	24.552 \| good	0.823 \| good	7.715 \| good	0.247 \| good
2025-09-03T18:00:00.000Z	38 \| good	7.464 \| good	32.312 \| good	32.214 \| good	0.753 \| good	4.784 \| good	0.2 \| good
2025-09-03T19:00:00.000Z	38 \| good	6.723 \| good	29.615 \| good	35.649 \| good	0.641 \| good	7.485 \| good	0.191 \| good
2025-09-03T20:00:00.000Z	38 \| good	6.723 \| good	29.615 \| good	35.649 \| good	0.641 \| good	7.485 \| good	0.191 \| good
2025-09-02T00:00:00.000Z	33 \| good	5.782 \| good	24.907 \| good	35.263 \| good	1.454 \| good	2.5 \| good	0.176 \| good
2025-09-02T01:00:00.000Z	34 \| good	6.339 \| good	28.147 \| good	36.978 \| good	1.261 \| good	2.543 \| good	0.182 \| good
2025-09-02T02:00:00.000Z	44 \| good	7.627 \| good	33.349 \| good	35.219 \| good	1.067 \| good	2.585 \| good	0.188 \| good
2025-09-02T03:00:00.000Z	38 \| good	7.235 \| good	32.074 \| good	32.119 \| good	0.874 \| good	2.627 \| good	0.194 \| good
2025-09-02T04:00:00.000Z	38 \| good	6.869 \| good	30.594 \| good	30.967 \| good	0.837 \| good	2.701 \| good	0.196 \| good
2025-09-02T05:00:00.000Z	33 \| good	6.051 \| good	26.899 \| good	31.439 \| good	0.801 \| good	2.776 \| good	0.198 \| good
2025-09-02T06:00:00.000Z	44 \| good	7.582 \| good	33.622 \| good	26.394 \| good	0.765 \| good	2.85 \| good	0.2 \| good
2025-09-02T07:00:00.000Z	38 \| good	6.962 \| good	30.637 \| good	23.896 \| good	0.802 \| good	2.814 \| good	0.2 \| good
2025-09-02T08:00:00.000Z	44 \| good	7.609 \| good	33.512 \| good	20.39 \| good	0.84 \| good	2.777 \| good	0.199 \| good
2025-09-02T09:00:00.000Z	49 \| good	9.371 \| good	41.576 \| good	20.466 \| good	0.878 \| good	2.74 \| good	0.199 \| good
2025-09-02T10:00:00.000Z	38 \| good	6.818 \| good	30.144 \| good	21.972 \| good	0.913 \| good	3.05 \| good	0.202 \| good
2025-09-02T11:00:00.000Z	22 \| good	3.967 \| good	17.19 \| good	20.928 \| good	0.948 \| good	3.359 \| good	0.205 \| good
2025-09-02T12:00:00.000Z	38 \| good	7.444 \| good	32.794 \| good	25.7 \| good	0.982 \| good	3.669 \| good	0.209 \| good
2025-09-02T13:00:00.000Z	49 \| good	9.368 \| good	41.837 \| good	30.367 \| good	1.216 \| good	3.059 \| good	0.204 \| good
2025-09-02T14:00:00.000Z	52 \| moderate	9.935 \| good	44.093 \| good	40.32 \| good	1.45 \| good	2.449 \| good	0.2 \| good
2025-09-02T15:00:00.000Z	49 \| good	8.61 \| good	37.726 \| good	44.789 \| good	1.684 \| good	1.839 \| good	0.196 \| good
2025-09-02T16:00:00.000Z	39 \| good	5.367 \| good	23.197 \| good	42.317 \| good	1.729 \| good	1.52 \| good	0.193 \| good
2025-09-02T17:00:00.000Z	40 \| good	4.855 \| good	21.069 \| good	42.953 \| good	1.773 \| good	1.201 \| good	0.189 \| good
2025-09-02T18:00:00.000Z	42 \| good	4.139 \| good	18.154 \| good	44.633 \| good	1.817 \| good	0.883 \| good	0.186 \| good
2025-09-02T19:00:00.000Z	42 \| good	3.478 \| good	15.517 \| good	44.944 \| good	1.745 \| good	0.99 \| good	0.187 \| good
2025-09-02T20:00:00.000Z	41 \| good	5.048 \| good	21.837 \| good	44.168 \| good	1.673 \| good	1.097 \| good	0.188 \| good
2025-09-02T21:00:00.000Z	42 \| good	6.402 \| good	28.451 \| good	44.601 \| good	1.601 \| good	1.205 \| good	0.189 \| good
2025-09-02T22:00:00.000Z	36 \| good	4.077 \| good	17.979 \| good	39.141 \| good	1.384 \| good	1.587 \| good	0.195 \| good
2025-09-02T23:00:00.000Z	34 \| good	4.928 \| good	21.312 \| good	37.443 \| good	1.166 \| good	1.97 \| good	0.201 \| good
2025-09-03T00:00:00.000Z	33 \| good	6.141 \| good	26.985 \| good	34.335 \| good	0.949 \| good	2.352 \| good	0.207 \| good
2025-09-03T01:00:00.000Z	44 \| good	7.973 \| good	35.125 \| good	32.61 \| good	0.917 \| good	2.658 \| good	0.212 \| good
2025-09-03T02:00:00.000Z	49 \| good	8.975 \| good	39.864 \| good	26.999 \| good	0.884 \| good	2.963 \| good	0.217 \| good
2025-09-03T03:00:00.000Z	38 \| good	7.326 \| good	32.364 \| good	27.855 \| good	0.851 \| good	3.269 \| good	0.222 \| good
2025-09-03T04:00:00.000Z	38 \| good	7.367 \| good	32.405 \| good	23.646 \| good	0.824 \| good	3.408 \| good	0.223 \| good
2025-09-03T05:00:00.000Z	38 \| good	7.005 \| good	30.951 \| good	23.371 \| good	0.797 \| good	3.546 \| good	0.224 \| good
2025-09-03T06:00:00.000Z	38 \| good	7.355 \| good	32.443 \| good	23.312 \| good	0.771 \| good	3.685 \| good	0.225 \| good
2025-09-03T07:00:00.000Z	27 \| good	5.346 \| good	23.114 \| good	24.908 \| good	0.735 \| good	3.298 \| good	0.221 \| good
2025-09-03T08:00:00.000Z	44 \| good	8.022 \| good	35.009 \| good	21.983 \| good	0.7 \| good	2.911 \| good	0.217 \| good
2025-09-03T09:00:00.000Z	54 \| moderate	10.669 \| good	47.542 \| good	18.991 \| good	0.664 \| good	2.524 \| good	0.213 \| good
2025-09-03T10:00:00.000Z	38 \| good	7.206 \| good	31.631 \| good	20.564 \| good	0.615 \| good	2.448 \| good	0.21 \| good
2025-09-03T11:00:00.000Z	27 \| good	5.179 \| good	22.564 \| good	20.617 \| good	0.566 \| good	2.372 \| good	0.208 \| good
2025-09-03T12:00:00.000Z	33 \| good	5.506 \| good	23.761 \| good	30.754 \| good	0.517 \| good	2.295 \| good	0.205 \| good
2025-09-03T13:00:00.000Z	33 \| good	5.834 \| good	25.657 \| good	36.073 \| good	0.522 \| good	1.881 \| good	0.201 \| good
2025-09-03T14:00:00.000Z	37 \| good	5.295 \| good	22.748 \| good	40.392 \| good	0.526 \| good	1.467 \| good	0.196 \| good
2025-09-03T15:00:00.000Z	42 \| good	6.979 \| good	31.198 \| good	44.87 \| good	0.531 \| good	1.053 \| good	0.192 \| good
2025-09-03T16:00:00.000Z	44 \| good	6.206 \| good	27.475 \| good	47.38 \| good	0.6 \| good	0.907 \| good	0.191 \| good
2025-09-03T17:00:00.000Z	45 \| good	6.947 \| good	30.772 \| good	49.173 \| good	0.67 \| good	0.761 \| good	0.19 \| good
2025-09-03T18:00:00.000Z	44 \| good	6.257 \| good	27.938 \| good	47.41 \| good	0.739 \| good	0.615 \| good	0.19 \| good
2025-09-03T19:00:00.000Z	43 \| good	5.924 \| good	25.836 \| good	45.625 \| good	0.663 \| good	0.673 \| good	0.187 \| good
2025-09-03T20:00:00.000Z	44 \| good	3.181 \| good	13.851 \| good	46.574 \| good	0.587 \| good	0.731 \| good	0.184 \| good
2025-09-03T21:00:00.000Z	44 \| good	6.93 \| good	30.501 \| good	47.036 \| good	0.511 \| good	0.789 \| good	0.181 \| good
2025-09-03T22:00:00.000Z	40 \| good	5.892 \| good	25.548 \| good	43.457 \| good	0.574 \| good	1.607 \| good	0.189 \| good
2025-09-03T23:00:00.000Z	38 \| good	6.178 \| good	27.526 \| good	41.118 \| good	0.638 \| good	2.426 \| good	0.196 \| 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?