What are the current PM10 levels at North Charleston, South Carolina?

The current PM10 levels in North Charleston, South Carolina are 21.205 μg/m3.

What are the current sulfur dioxide (SO2) levels at North Charleston, South Carolina?

The current sulfur dioxide (SO2) levels in North Charleston, South Carolina are 0.117 ppb.

What are the current ozone (O3) levels at North Charleston, South Carolina?

The current ozone (O3) levels at North Charleston, South Carolina is 40.543 ppm.

What are the current nitrogen dioxide (NO2) levels at North Charleston, South Carolina?

The current nitrogen dioxide (NO2) levels at North Charleston, South Carolina is 6.405 ppb.

Real-time air quality index in North Charleston, South Carolina today

Name: Live air pollution levels in North Charleston, South Carolina today
Creator: Ambee

Stay updated with real-time air quality in North Charleston, South Carolina 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

North Charleston, South Carolina

Last updated: ... (Local time)

Common air pollutants in North Charleston, South Carolina

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

6.95 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

21.20 μg/m³

155

255

425

605+

Ozone (O₃)

40.54 ppb

201

201+

Sulfur Dioxide (SO₂)

0.12 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

6.41 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.22 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

North Charleston, South Carolina

Get Live Pollen Counts

North Charleston, South Carolina

Scroll To Air Quality Map

Track live North Charleston, South Carolina air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-20T03:00:00.000Z	29 \| good	4.787 \| good	13.299 \| good	31.217 \| good	0.339 \| good	1.983 \| good	0.146 \| good
2025-10-20T04:00:00.000Z	30 \| good	4.675 \| good	13.389 \| good	32.091 \| good	0.424 \| good	2.86 \| good	0.161 \| good
2025-10-20T05:00:00.000Z	34 \| good	4.445 \| good	11.421 \| good	36.53 \| good	0.417 \| good	1.939 \| good	0.146 \| good
2025-10-20T06:00:00.000Z	32 \| good	4.565 \| good	12.342 \| good	34.59 \| good	0.431 \| good	2.022 \| good	0.146 \| good
2025-10-20T07:00:00.000Z	30 \| good	4.535 \| good	12.79 \| good	32.266 \| good	0.401 \| good	2.023 \| good	0.131 \| good
2025-10-20T08:00:00.000Z	28 \| good	4.652 \| good	12.176 \| good	30.071 \| good	0.304 \| good	2.204 \| good	0.146 \| good
2025-10-20T09:00:00.000Z	31 \| good	3.826 \| good	9.383 \| good	33.679 \| good	0.112 \| good	3.114 \| good	0.146 \| good
2025-10-20T10:00:00.000Z	25 \| good	3.456 \| good	9.879 \| good	27.246 \| good	0.695 \| good	9.28 \| good	0.183 \| good
2025-10-20T11:00:00.000Z	28 \| good	3.448 \| good	14.03 \| good	30.406 \| good	0.666 \| good	9.908 \| good	0.261 \| good
2025-10-20T12:00:00.000Z	27 \| good	3.526 \| good	12.025 \| good	28.829 \| good	0.658 \| good	17.405 \| good	0.315 \| good
2025-10-20T13:00:00.000Z	26 \| good	3.448 \| good	13.094 \| good	27.829 \| good	0.612 \| good	13.096 \| good	0.269 \| good
2025-10-20T14:00:00.000Z	25 \| good	3.501 \| good	12.276 \| good	27.074 \| good	0.32 \| good	7.927 \| good	0.253 \| good
2025-10-20T15:00:00.000Z	27 \| good	3.45 \| good	13.261 \| good	28.515 \| good	0.318 \| good	4.88 \| good	0.195 \| good
2025-10-20T16:00:00.000Z	27 \| good	3.078 \| good	12.729 \| good	29.357 \| good	0.344 \| good	3.781 \| good	0.146 \| good
2025-10-20T17:00:00.000Z	28 \| good	2.967 \| good	11.412 \| good	29.81 \| good	0.276 \| good	2.873 \| good	0.146 \| good
2025-10-20T18:00:00.000Z	31 \| good	3.051 \| good	12.062 \| good	32.734 \| good	0.268 \| good	2 \| good	0.161 \| good
2025-10-20T19:00:00.000Z	32 \| good	3.132 \| good	13.7 \| good	35.313 \| good	1.402 \| good	1.984 \| good	0.161 \| good
2025-10-20T20:00:00.000Z	34 \| good	3.301 \| good	16.608 \| good	36.563 \| good	2.033 \| good	2.925 \| good	0.161 \| good
2025-10-20T21:00:00.000Z	34 \| good	3.388 \| good	15.614 \| good	37.476 \| good	1.59 \| good	2.997 \| good	0.176 \| good
2025-10-20T22:00:00.000Z	32 \| good	3.638 \| good	17.179 \| good	34.554 \| good	1.674 \| good	3.256 \| good	0.176 \| good
2025-10-20T23:00:00.000Z	26 \| good	4.388 \| good	13.573 \| good	28.46 \| good	1.033 \| good	5.889 \| good	0.211 \| good
2025-10-21T00:00:00.000Z	24 \| good	4.214 \| good	20.499 \| good	25.646 \| good	0.209 \| good	7.613 \| good	0.285 \| good
2025-10-21T01:00:00.000Z	33 \| good	5.904 \| good	20.297 \| good	20.797 \| good	0.123 \| good	9.062 \| good	0.332 \| good
2025-10-21T02:00:00.000Z	27 \| good	4.72 \| good	17.299 \| good	13.63 \| good	0.528 \| good	11.696 \| good	0.485 \| good
2025-10-21T03:00:00.000Z	44 \| good	8.204 \| good	35.828 \| good	6.32 \| good	1.801 \| good	10.992 \| good	0.217 \| good
2025-10-21T04:00:00.000Z	33 \| good	6.402 \| good	27.024 \| good	10.537 \| good	0.421 \| good	9.763 \| good	0.439 \| good
2025-10-21T05:00:00.000Z	38 \| good	6.717 \| good	23.381 \| good	7.331 \| good	0.467 \| good	14.24 \| good	0.39 \| good
2025-10-21T06:00:00.000Z	33 \| good	6.179 \| good	25.298 \| good	7.081 \| good	0.43 \| good	13.172 \| good	0.39 \| good
2025-10-21T07:00:00.000Z	49 \| good	9.043 \| good	36.821 \| good	15.341 \| good	0.439 \| good	16.369 \| good	0.359 \| good
2025-10-21T08:00:00.000Z	38 \| good	7.083 \| good	19.721 \| good	8.703 \| good	0.435 \| good	15.819 \| good	0.366 \| good
2025-10-21T09:00:00.000Z	49 \| good	8.689 \| good	16.346 \| good	6.288 \| good	0.506 \| good	15.524 \| good	0.381 \| good
2025-10-21T10:00:00.000Z	49 \| good	9.087 \| good	31.891 \| good	4.661 \| good	0.146 \| good	15.837 \| good	0.331 \| good
2025-10-21T11:00:00.000Z	49 \| good	9.095 \| good	26.95 \| good	5.466 \| good	0.213 \| good	15.566 \| good	0.378 \| good
2025-10-21T12:00:00.000Z	52 \| moderate	9.971 \| good	32.603 \| good	6.913 \| good	0.4 \| good	16.559 \| good	0.489 \| good
2025-10-21T13:00:00.000Z	52 \| moderate	9.839 \| good	41.614 \| good	17.018 \| good	0.317 \| good	22.443 \| good	0.504 \| good
2025-10-21T14:00:00.000Z	38 \| good	7.499 \| good	30.279 \| good	27.896 \| good	0.517 \| good	16.862 \| good	0.392 \| good
2025-10-21T15:00:00.000Z	33 \| good	6.177 \| good	24.252 \| good	27.464 \| good	0.412 \| good	7.594 \| good	0.362 \| good
2025-10-21T16:00:00.000Z	33 \| good	6.288 \| good	21.499 \| good	32.706 \| good	0.245 \| good	3.634 \| good	0.215 \| good
2025-10-21T17:00:00.000Z	33 \| good	5.929 \| good	20.202 \| good	35.753 \| good	0.32 \| good	3.463 \| good	0.219 \| good
2025-10-21T18:00:00.000Z	37 \| good	5.859 \| good	18.777 \| good	39.962 \| good	0.224 \| good	3.385 \| good	0.219 \| good
2025-10-21T19:00:00.000Z	39 \| good	5.86 \| good	19.754 \| good	42.259 \| good	0.31 \| good	6.182 \| good	0.219 \| good
2025-10-21T20:00:00.000Z	41 \| good	6.301 \| good	28.651 \| good	43.984 \| good	0.402 \| good	6.238 \| good	0.184 \| good
2025-10-21T21:00:00.000Z	44 \| good	7.089 \| good	42.428 \| good	46.999 \| good	0.402 \| good	6.475 \| good	0.199 \| good
2025-10-21T22:00:00.000Z	42 \| good	6.813 \| good	27.648 \| good	44.586 \| good	0.492 \| good	8.037 \| good	0.199 \| good
2025-10-21T23:00:00.000Z	39 \| good	6.788 \| good	24.735 \| good	42.036 \| good	0.404 \| good	6.562 \| good	0.249 \| good
2025-10-22T00:00:00.000Z	38 \| good	6.748 \| good	20.415 \| good	40.836 \| good	0.212 \| good	6.453 \| good	0.219 \| good
2025-10-22T01:00:00.000Z	38 \| good	6.949 \| good	21.205 \| good	40.543 \| good	0.117 \| good	6.405 \| good	0.219 \| good
2025-10-22T02:00:00.000Z	38 \| good	7.372 \| good	19.971 \| good	38.42 \| good	0.121 \| good	7.111 \| good	0.219 \| good
2025-10-22T02:00:00.000Z	38 \| good	6.949 \| good	21.205 \| good	40.543 \| good	0.117 \| good	6.405 \| good	0.219 \| good
2025-10-20T04:00:00.000Z	33 \| good	6.419 \| good	28.818 \| good	22.884 \| good	0.694 \| good	2.227 \| good	0.127 \| good
2025-10-20T05:00:00.000Z	28 \| good	3.923 \| good	17.015 \| good	29.798 \| good	0.69 \| good	2.085 \| good	0.128 \| good
2025-10-20T06:00:00.000Z	27 \| good	3.358 \| good	14.985 \| good	29.352 \| good	0.686 \| good	1.942 \| good	0.129 \| good
2025-10-20T07:00:00.000Z	22 \| good	3.522 \| good	15.965 \| good	24.295 \| good	0.764 \| good	2.03 \| good	0.127 \| good
2025-10-20T08:00:00.000Z	22 \| good	4.261 \| good	18.943 \| good	21.437 \| good	0.842 \| good	2.117 \| good	0.124 \| good
2025-10-20T09:00:00.000Z	27 \| good	4.561 \| good	19.785 \| good	23.151 \| good	0.92 \| good	2.205 \| good	0.121 \| good
2025-10-20T10:00:00.000Z	27 \| good	5.386 \| good	22.953 \| good	18.755 \| good	1.055 \| good	2.763 \| good	0.125 \| good
2025-10-20T11:00:00.000Z	38 \| good	6.728 \| good	29.739 \| good	16.64 \| good	1.189 \| good	3.322 \| good	0.129 \| good
2025-10-20T12:00:00.000Z	33 \| good	6.178 \| good	27.661 \| good	19.788 \| good	1.324 \| good	3.881 \| good	0.133 \| good
2025-10-20T13:00:00.000Z	33 \| good	5.737 \| good	24.811 \| good	26.49 \| good	1.623 \| good	3.194 \| good	0.128 \| good
2025-10-20T14:00:00.000Z	31 \| good	3.616 \| good	15.88 \| good	34.328 \| good	1.922 \| good	2.507 \| good	0.123 \| good
2025-10-20T15:00:00.000Z	34 \| good	2.927 \| good	11.907 \| good	37.447 \| good	2.221 \| good	1.82 \| good	0.119 \| good
2025-10-20T16:00:00.000Z	36 \| good	1.854 \| good	7.802 \| good	39.146 \| good	2.2 \| good	1.584 \| good	0.118 \| good
2025-10-20T17:00:00.000Z	38 \| good	2.509 \| good	9.944 \| good	41.454 \| good	2.179 \| good	1.348 \| good	0.117 \| good
2025-10-20T18:00:00.000Z	39 \| good	3.047 \| good	12.019 \| good	42.092 \| good	2.158 \| good	1.112 \| good	0.116 \| good
2025-10-20T19:00:00.000Z	42 \| good	2.512 \| good	9.942 \| good	44.838 \| good	2.149 \| good	1.232 \| good	0.119 \| good
2025-10-20T20:00:00.000Z	43 \| good	2.084 \| good	8.79 \| good	45.503 \| good	2.14 \| good	1.352 \| good	0.122 \| good
2025-10-20T21:00:00.000Z	40 \| good	2.418 \| good	9.781 \| good	42.947 \| good	2.13 \| good	1.472 \| good	0.125 \| good
2025-10-20T22:00:00.000Z	27 \| good	3.446 \| good	15.299 \| good	29.125 \| good	2.051 \| good	5.146 \| good	0.164 \| good
2025-10-20T23:00:00.000Z	33 \| good	5.612 \| good	24.253 \| good	15.693 \| good	1.972 \| good	8.819 \| good	0.204 \| good
2025-10-21T00:00:00.000Z	44 \| good	8.429 \| good	36.954 \| good	10.128 \| good	1.893 \| good	12.492 \| good	0.243 \| good
2025-10-21T01:00:00.000Z	49 \| good	8.991 \| good	39.838 \| good	11.172 \| good	1.894 \| good	11.078 \| good	0.221 \| good
2025-10-21T02:00:00.000Z	49 \| good	9.387 \| good	41.789 \| good	7.841 \| good	1.895 \| good	9.663 \| good	0.198 \| good
2025-10-21T03:00:00.000Z	52 \| moderate	10.18 \| good	44.865 \| good	7.049 \| good	1.896 \| good	8.249 \| good	0.176 \| good
2025-10-21T04:00:00.000Z	52 \| moderate	10.005 \| good	44.237 \| good	8.014 \| good	1.773 \| good	7.579 \| good	0.166 \| good
2025-10-21T05:00:00.000Z	49 \| good	9.042 \| good	40.251 \| good	6.293 \| good	1.65 \| good	6.91 \| good	0.155 \| good
2025-10-21T06:00:00.000Z	52 \| moderate	9.763 \| good	43.41 \| good	7.135 \| good	1.527 \| good	6.24 \| good	0.144 \| good
2025-10-21T07:00:00.000Z	49 \| good	8.572 \| good	37.485 \| good	4.013 \| good	1.498 \| good	6.295 \| good	0.144 \| good
2025-10-21T08:00:00.000Z	49 \| good	8.776 \| good	38.387 \| good	5.303 \| good	1.469 \| good	6.351 \| good	0.144 \| good
2025-10-21T09:00:00.000Z	52 \| moderate	9.501 \| good	42.107 \| good	6.358 \| good	1.441 \| good	6.407 \| good	0.144 \| good
2025-10-21T10:00:00.000Z	49 \| good	9.473 \| good	41.997 \| good	5.27 \| good	1.523 \| good	8.095 \| good	0.161 \| good
2025-10-21T11:00:00.000Z	54 \| moderate	11.427 \| good	50.129 \| good	3.735 \| good	1.605 \| good	9.784 \| good	0.178 \| good
2025-10-21T12:00:00.000Z	58 \| moderate	13.186 \| fine	59.69 \| fine	4.544 \| good	1.688 \| good	11.473 \| good	0.195 \| good
2025-10-21T13:00:00.000Z	44 \| good	8.01 \| good	35.315 \| good	18.393 \| good	1.536 \| good	8.446 \| good	0.169 \| good
2025-10-21T14:00:00.000Z	36 \| good	4.4 \| good	18.78 \| good	38.769 \| good	1.384 \| good	5.42 \| good	0.142 \| good
2025-10-21T15:00:00.000Z	46 \| good	2.705 \| good	10.874 \| good	49.503 \| good	1.232 \| good	2.393 \| good	0.115 \| good
2025-10-21T16:00:00.000Z	46 \| good	2.301 \| good	9.734 \| good	50.33 \| good	1.087 \| good	1.883 \| good	0.112 \| good
2025-10-21T17:00:00.000Z	49 \| good	2.376 \| good	9.797 \| good	52.672 \| good	0.941 \| good	1.373 \| good	0.109 \| good
2025-10-21T18:00:00.000Z	49 \| good	2.771 \| good	11.656 \| good	53.259 \| good	0.796 \| good	0.863 \| good	0.105 \| good
2025-10-21T19:00:00.000Z	50 \| good	3.122 \| good	13.693 \| good	54.272 \| good	0.787 \| good	1.003 \| good	0.106 \| good
2025-10-21T20:00:00.000Z	47 \| good	3.608 \| good	15.832 \| good	50.867 \| good	0.778 \| good	1.143 \| good	0.106 \| good
2025-10-21T21:00:00.000Z	48 \| good	3.019 \| good	12.078 \| good	51.503 \| good	0.769 \| good	1.283 \| good	0.106 \| good
2025-10-21T22:00:00.000Z	39 \| good	3.014 \| good	12.014 \| good	41.901 \| good	0.77 \| good	2.453 \| good	0.115 \| good
2025-10-21T23:00:00.000Z	31 \| good	3.518 \| good	15.422 \| good	33.779 \| good	0.771 \| good	3.624 \| good	0.125 \| good
2025-10-22T00:00:00.000Z	44 \| good	6.16 \| good	6.751 \| good	48.319 \| good	0.777 \| good	4.929 \| good	0.135 \| good
2025-10-22T01:00:00.000Z	33 \| good	6.151 \| good	27.436 \| good	34.427 \| good	0.754 \| good	4.285 \| good	0.13 \| good
2025-10-22T02:00:00.000Z	29 \| good	5.02 \| good	21.732 \| good	30.956 \| good	0.736 \| good	3.776 \| good	0.125 \| good
2025-10-22T03:00:00.000Z	27 \| good	4.587 \| good	19.906 \| good	29.146 \| good	0.717 \| good	3.267 \| good	0.121 \| good

North Charleston

Empower business decisions with accurate air quality data

North Charleston, South Carolina air quality map: Real-time AQI near you

0.18ppm

How accurate is South Carolina, USA air quality data?

Air quality measurements for South Carolina, 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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Check live rankings of places in the USA affected by air pollution.

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Frequently asked questions

How frequently is the air quality data for North Charleston, South Carolina updated?

Air quality data for North Charleston, South Carolina is updated on an hourly basis.

When did North Charleston, South Carolina experience the worst air quality in the last 24 hours?

The worst air quality in North Charleston, South Carolina was recorded at 01:00:00 on 2025-10-21.

When did North Charleston, South Carolina have its best air quality in the last 24 hours?

The best air quality in North Charleston, South Carolina was recorded at 02:00:00 on 2025-10-21.

What is the real-time air quality index for North Charleston, South Carolina?

The real-time air quality index in North Charleston, South Carolina is 38, currently categorized as Good.

Which pollutant is found most often in North Charleston, South Carolina?

The most common pollutant in North Charleston, South Carolina is O3.

What can I do if the air quality in North Charleston, South Carolina is poor?

If the air quality in North Charleston, South Carolina is poor, limit outdoor activities and use a mask to safeguard your health.

What are the current PM_2.5 levels in North Charleston, South Carolina?

The measured PM_2.5 levels in North Charleston, South Carolina at present are 6.949 μg/m³.

What are the current PM₁₀ levels at North Charleston, South Carolina?

The current PM₁₀ levels in North Charleston, South Carolina are 21.205 μg/m³.

What are the current carbon monoxide (CO) levels at North Charleston, South Carolina?

The current carbon monoxide (CO) level in North Charleston, South Carolina is 0.219 ppm.

What are the current sulfur dioxide (SO₂) levels at North Charleston, South Carolina?

The current sulfur dioxide (SO₂) levels in North Charleston, South Carolina are 0.117 ppb.

What are the current ozone (O₃) levels at North Charleston, South Carolina?

The current ozone (O₃) levels at North Charleston, South Carolina is 40.543 ppm.

What are the current nitrogen dioxide (NO₂) levels at North Charleston, South Carolina?

The current nitrogen dioxide (NO₂) levels at North Charleston, South Carolina is 6.405 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-20T03:00:00.000Z	29 \| good	4.787 \| good	13.299 \| good	31.217 \| good	0.339 \| good	1.983 \| good	0.146 \| good
2025-10-20T04:00:00.000Z	30 \| good	4.675 \| good	13.389 \| good	32.091 \| good	0.424 \| good	2.86 \| good	0.161 \| good
2025-10-20T05:00:00.000Z	34 \| good	4.445 \| good	11.421 \| good	36.53 \| good	0.417 \| good	1.939 \| good	0.146 \| good
2025-10-20T06:00:00.000Z	32 \| good	4.565 \| good	12.342 \| good	34.59 \| good	0.431 \| good	2.022 \| good	0.146 \| good
2025-10-20T07:00:00.000Z	30 \| good	4.535 \| good	12.79 \| good	32.266 \| good	0.401 \| good	2.023 \| good	0.131 \| good
2025-10-20T08:00:00.000Z	28 \| good	4.652 \| good	12.176 \| good	30.071 \| good	0.304 \| good	2.204 \| good	0.146 \| good
2025-10-20T09:00:00.000Z	31 \| good	3.826 \| good	9.383 \| good	33.679 \| good	0.112 \| good	3.114 \| good	0.146 \| good
2025-10-20T10:00:00.000Z	25 \| good	3.456 \| good	9.879 \| good	27.246 \| good	0.695 \| good	9.28 \| good	0.183 \| good
2025-10-20T11:00:00.000Z	28 \| good	3.448 \| good	14.03 \| good	30.406 \| good	0.666 \| good	9.908 \| good	0.261 \| good
2025-10-20T12:00:00.000Z	27 \| good	3.526 \| good	12.025 \| good	28.829 \| good	0.658 \| good	17.405 \| good	0.315 \| good
2025-10-20T13:00:00.000Z	26 \| good	3.448 \| good	13.094 \| good	27.829 \| good	0.612 \| good	13.096 \| good	0.269 \| good
2025-10-20T14:00:00.000Z	25 \| good	3.501 \| good	12.276 \| good	27.074 \| good	0.32 \| good	7.927 \| good	0.253 \| good
2025-10-20T15:00:00.000Z	27 \| good	3.45 \| good	13.261 \| good	28.515 \| good	0.318 \| good	4.88 \| good	0.195 \| good
2025-10-20T16:00:00.000Z	27 \| good	3.078 \| good	12.729 \| good	29.357 \| good	0.344 \| good	3.781 \| good	0.146 \| good
2025-10-20T17:00:00.000Z	28 \| good	2.967 \| good	11.412 \| good	29.81 \| good	0.276 \| good	2.873 \| good	0.146 \| good
2025-10-20T18:00:00.000Z	31 \| good	3.051 \| good	12.062 \| good	32.734 \| good	0.268 \| good	2 \| good	0.161 \| good
2025-10-20T19:00:00.000Z	32 \| good	3.132 \| good	13.7 \| good	35.313 \| good	1.402 \| good	1.984 \| good	0.161 \| good
2025-10-20T20:00:00.000Z	34 \| good	3.301 \| good	16.608 \| good	36.563 \| good	2.033 \| good	2.925 \| good	0.161 \| good
2025-10-20T21:00:00.000Z	34 \| good	3.388 \| good	15.614 \| good	37.476 \| good	1.59 \| good	2.997 \| good	0.176 \| good
2025-10-20T22:00:00.000Z	32 \| good	3.638 \| good	17.179 \| good	34.554 \| good	1.674 \| good	3.256 \| good	0.176 \| good
2025-10-20T23:00:00.000Z	26 \| good	4.388 \| good	13.573 \| good	28.46 \| good	1.033 \| good	5.889 \| good	0.211 \| good
2025-10-21T00:00:00.000Z	24 \| good	4.214 \| good	20.499 \| good	25.646 \| good	0.209 \| good	7.613 \| good	0.285 \| good
2025-10-21T01:00:00.000Z	33 \| good	5.904 \| good	20.297 \| good	20.797 \| good	0.123 \| good	9.062 \| good	0.332 \| good
2025-10-21T02:00:00.000Z	27 \| good	4.72 \| good	17.299 \| good	13.63 \| good	0.528 \| good	11.696 \| good	0.485 \| good
2025-10-21T03:00:00.000Z	44 \| good	8.204 \| good	35.828 \| good	6.32 \| good	1.801 \| good	10.992 \| good	0.217 \| good
2025-10-21T04:00:00.000Z	33 \| good	6.402 \| good	27.024 \| good	10.537 \| good	0.421 \| good	9.763 \| good	0.439 \| good
2025-10-21T05:00:00.000Z	38 \| good	6.717 \| good	23.381 \| good	7.331 \| good	0.467 \| good	14.24 \| good	0.39 \| good
2025-10-21T06:00:00.000Z	33 \| good	6.179 \| good	25.298 \| good	7.081 \| good	0.43 \| good	13.172 \| good	0.39 \| good
2025-10-21T07:00:00.000Z	49 \| good	9.043 \| good	36.821 \| good	15.341 \| good	0.439 \| good	16.369 \| good	0.359 \| good
2025-10-21T08:00:00.000Z	38 \| good	7.083 \| good	19.721 \| good	8.703 \| good	0.435 \| good	15.819 \| good	0.366 \| good
2025-10-21T09:00:00.000Z	49 \| good	8.689 \| good	16.346 \| good	6.288 \| good	0.506 \| good	15.524 \| good	0.381 \| good
2025-10-21T10:00:00.000Z	49 \| good	9.087 \| good	31.891 \| good	4.661 \| good	0.146 \| good	15.837 \| good	0.331 \| good
2025-10-21T11:00:00.000Z	49 \| good	9.095 \| good	26.95 \| good	5.466 \| good	0.213 \| good	15.566 \| good	0.378 \| good
2025-10-21T12:00:00.000Z	52 \| moderate	9.971 \| good	32.603 \| good	6.913 \| good	0.4 \| good	16.559 \| good	0.489 \| good
2025-10-21T13:00:00.000Z	52 \| moderate	9.839 \| good	41.614 \| good	17.018 \| good	0.317 \| good	22.443 \| good	0.504 \| good
2025-10-21T14:00:00.000Z	38 \| good	7.499 \| good	30.279 \| good	27.896 \| good	0.517 \| good	16.862 \| good	0.392 \| good
2025-10-21T15:00:00.000Z	33 \| good	6.177 \| good	24.252 \| good	27.464 \| good	0.412 \| good	7.594 \| good	0.362 \| good
2025-10-21T16:00:00.000Z	33 \| good	6.288 \| good	21.499 \| good	32.706 \| good	0.245 \| good	3.634 \| good	0.215 \| good
2025-10-21T17:00:00.000Z	33 \| good	5.929 \| good	20.202 \| good	35.753 \| good	0.32 \| good	3.463 \| good	0.219 \| good
2025-10-21T18:00:00.000Z	37 \| good	5.859 \| good	18.777 \| good	39.962 \| good	0.224 \| good	3.385 \| good	0.219 \| good
2025-10-21T19:00:00.000Z	39 \| good	5.86 \| good	19.754 \| good	42.259 \| good	0.31 \| good	6.182 \| good	0.219 \| good
2025-10-21T20:00:00.000Z	41 \| good	6.301 \| good	28.651 \| good	43.984 \| good	0.402 \| good	6.238 \| good	0.184 \| good
2025-10-21T21:00:00.000Z	44 \| good	7.089 \| good	42.428 \| good	46.999 \| good	0.402 \| good	6.475 \| good	0.199 \| good
2025-10-21T22:00:00.000Z	42 \| good	6.813 \| good	27.648 \| good	44.586 \| good	0.492 \| good	8.037 \| good	0.199 \| good
2025-10-21T23:00:00.000Z	39 \| good	6.788 \| good	24.735 \| good	42.036 \| good	0.404 \| good	6.562 \| good	0.249 \| good
2025-10-22T00:00:00.000Z	38 \| good	6.748 \| good	20.415 \| good	40.836 \| good	0.212 \| good	6.453 \| good	0.219 \| good
2025-10-22T01:00:00.000Z	38 \| good	6.949 \| good	21.205 \| good	40.543 \| good	0.117 \| good	6.405 \| good	0.219 \| good
2025-10-22T02:00:00.000Z	38 \| good	7.372 \| good	19.971 \| good	38.42 \| good	0.121 \| good	7.111 \| good	0.219 \| good
2025-10-22T02:00:00.000Z	38 \| good	6.949 \| good	21.205 \| good	40.543 \| good	0.117 \| good	6.405 \| good	0.219 \| good
2025-10-20T04:00:00.000Z	33 \| good	6.419 \| good	28.818 \| good	22.884 \| good	0.694 \| good	2.227 \| good	0.127 \| good
2025-10-20T05:00:00.000Z	28 \| good	3.923 \| good	17.015 \| good	29.798 \| good	0.69 \| good	2.085 \| good	0.128 \| good
2025-10-20T06:00:00.000Z	27 \| good	3.358 \| good	14.985 \| good	29.352 \| good	0.686 \| good	1.942 \| good	0.129 \| good
2025-10-20T07:00:00.000Z	22 \| good	3.522 \| good	15.965 \| good	24.295 \| good	0.764 \| good	2.03 \| good	0.127 \| good
2025-10-20T08:00:00.000Z	22 \| good	4.261 \| good	18.943 \| good	21.437 \| good	0.842 \| good	2.117 \| good	0.124 \| good
2025-10-20T09:00:00.000Z	27 \| good	4.561 \| good	19.785 \| good	23.151 \| good	0.92 \| good	2.205 \| good	0.121 \| good
2025-10-20T10:00:00.000Z	27 \| good	5.386 \| good	22.953 \| good	18.755 \| good	1.055 \| good	2.763 \| good	0.125 \| good
2025-10-20T11:00:00.000Z	38 \| good	6.728 \| good	29.739 \| good	16.64 \| good	1.189 \| good	3.322 \| good	0.129 \| good
2025-10-20T12:00:00.000Z	33 \| good	6.178 \| good	27.661 \| good	19.788 \| good	1.324 \| good	3.881 \| good	0.133 \| good
2025-10-20T13:00:00.000Z	33 \| good	5.737 \| good	24.811 \| good	26.49 \| good	1.623 \| good	3.194 \| good	0.128 \| good
2025-10-20T14:00:00.000Z	31 \| good	3.616 \| good	15.88 \| good	34.328 \| good	1.922 \| good	2.507 \| good	0.123 \| good
2025-10-20T15:00:00.000Z	34 \| good	2.927 \| good	11.907 \| good	37.447 \| good	2.221 \| good	1.82 \| good	0.119 \| good
2025-10-20T16:00:00.000Z	36 \| good	1.854 \| good	7.802 \| good	39.146 \| good	2.2 \| good	1.584 \| good	0.118 \| good
2025-10-20T17:00:00.000Z	38 \| good	2.509 \| good	9.944 \| good	41.454 \| good	2.179 \| good	1.348 \| good	0.117 \| good
2025-10-20T18:00:00.000Z	39 \| good	3.047 \| good	12.019 \| good	42.092 \| good	2.158 \| good	1.112 \| good	0.116 \| good
2025-10-20T19:00:00.000Z	42 \| good	2.512 \| good	9.942 \| good	44.838 \| good	2.149 \| good	1.232 \| good	0.119 \| good
2025-10-20T20:00:00.000Z	43 \| good	2.084 \| good	8.79 \| good	45.503 \| good	2.14 \| good	1.352 \| good	0.122 \| good
2025-10-20T21:00:00.000Z	40 \| good	2.418 \| good	9.781 \| good	42.947 \| good	2.13 \| good	1.472 \| good	0.125 \| good
2025-10-20T22:00:00.000Z	27 \| good	3.446 \| good	15.299 \| good	29.125 \| good	2.051 \| good	5.146 \| good	0.164 \| good
2025-10-20T23:00:00.000Z	33 \| good	5.612 \| good	24.253 \| good	15.693 \| good	1.972 \| good	8.819 \| good	0.204 \| good
2025-10-21T00:00:00.000Z	44 \| good	8.429 \| good	36.954 \| good	10.128 \| good	1.893 \| good	12.492 \| good	0.243 \| good
2025-10-21T01:00:00.000Z	49 \| good	8.991 \| good	39.838 \| good	11.172 \| good	1.894 \| good	11.078 \| good	0.221 \| good
2025-10-21T02:00:00.000Z	49 \| good	9.387 \| good	41.789 \| good	7.841 \| good	1.895 \| good	9.663 \| good	0.198 \| good
2025-10-21T03:00:00.000Z	52 \| moderate	10.18 \| good	44.865 \| good	7.049 \| good	1.896 \| good	8.249 \| good	0.176 \| good
2025-10-21T04:00:00.000Z	52 \| moderate	10.005 \| good	44.237 \| good	8.014 \| good	1.773 \| good	7.579 \| good	0.166 \| good
2025-10-21T05:00:00.000Z	49 \| good	9.042 \| good	40.251 \| good	6.293 \| good	1.65 \| good	6.91 \| good	0.155 \| good
2025-10-21T06:00:00.000Z	52 \| moderate	9.763 \| good	43.41 \| good	7.135 \| good	1.527 \| good	6.24 \| good	0.144 \| good
2025-10-21T07:00:00.000Z	49 \| good	8.572 \| good	37.485 \| good	4.013 \| good	1.498 \| good	6.295 \| good	0.144 \| good
2025-10-21T08:00:00.000Z	49 \| good	8.776 \| good	38.387 \| good	5.303 \| good	1.469 \| good	6.351 \| good	0.144 \| good
2025-10-21T09:00:00.000Z	52 \| moderate	9.501 \| good	42.107 \| good	6.358 \| good	1.441 \| good	6.407 \| good	0.144 \| good
2025-10-21T10:00:00.000Z	49 \| good	9.473 \| good	41.997 \| good	5.27 \| good	1.523 \| good	8.095 \| good	0.161 \| good
2025-10-21T11:00:00.000Z	54 \| moderate	11.427 \| good	50.129 \| good	3.735 \| good	1.605 \| good	9.784 \| good	0.178 \| good
2025-10-21T12:00:00.000Z	58 \| moderate	13.186 \| fine	59.69 \| fine	4.544 \| good	1.688 \| good	11.473 \| good	0.195 \| good
2025-10-21T13:00:00.000Z	44 \| good	8.01 \| good	35.315 \| good	18.393 \| good	1.536 \| good	8.446 \| good	0.169 \| good
2025-10-21T14:00:00.000Z	36 \| good	4.4 \| good	18.78 \| good	38.769 \| good	1.384 \| good	5.42 \| good	0.142 \| good
2025-10-21T15:00:00.000Z	46 \| good	2.705 \| good	10.874 \| good	49.503 \| good	1.232 \| good	2.393 \| good	0.115 \| good
2025-10-21T16:00:00.000Z	46 \| good	2.301 \| good	9.734 \| good	50.33 \| good	1.087 \| good	1.883 \| good	0.112 \| good
2025-10-21T17:00:00.000Z	49 \| good	2.376 \| good	9.797 \| good	52.672 \| good	0.941 \| good	1.373 \| good	0.109 \| good
2025-10-21T18:00:00.000Z	49 \| good	2.771 \| good	11.656 \| good	53.259 \| good	0.796 \| good	0.863 \| good	0.105 \| good
2025-10-21T19:00:00.000Z	50 \| good	3.122 \| good	13.693 \| good	54.272 \| good	0.787 \| good	1.003 \| good	0.106 \| good
2025-10-21T20:00:00.000Z	47 \| good	3.608 \| good	15.832 \| good	50.867 \| good	0.778 \| good	1.143 \| good	0.106 \| good
2025-10-21T21:00:00.000Z	48 \| good	3.019 \| good	12.078 \| good	51.503 \| good	0.769 \| good	1.283 \| good	0.106 \| good
2025-10-21T22:00:00.000Z	39 \| good	3.014 \| good	12.014 \| good	41.901 \| good	0.77 \| good	2.453 \| good	0.115 \| good
2025-10-21T23:00:00.000Z	31 \| good	3.518 \| good	15.422 \| good	33.779 \| good	0.771 \| good	3.624 \| good	0.125 \| good
2025-10-22T00:00:00.000Z	44 \| good	6.16 \| good	6.751 \| good	48.319 \| good	0.777 \| good	4.929 \| good	0.135 \| good
2025-10-22T01:00:00.000Z	33 \| good	6.151 \| good	27.436 \| good	34.427 \| good	0.754 \| good	4.285 \| good	0.13 \| good
2025-10-22T02:00:00.000Z	29 \| good	5.02 \| good	21.732 \| good	30.956 \| good	0.736 \| good	3.776 \| good	0.125 \| good
2025-10-22T03:00:00.000Z	27 \| good	4.587 \| good	19.906 \| good	29.146 \| good	0.717 \| good	3.267 \| good	0.121 \| good

Real-time air quality index in North Charleston, South Carolina today

Common air pollutants in North Charleston, South Carolina

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live North Charleston, South Carolina air quality forecast and history

Empower business decisions with accurate air quality data

North Charleston, South Carolina air quality map: Real-time AQI near you

Air quality in nearby cities

Hanahan, South Carolina

Goose Creek, South Carolina

Charleston, South Carolina

Ladson, South Carolina

Mount Pleasant, South Carolina

James Island, South Carolina

How accurate is South Carolina, USA air quality data?

Air quality levels in US

Frequently asked questions

How frequently is the air quality data for North Charleston, South Carolina updated?

When did North Charleston, South Carolina experience the worst air quality in the last 24 hours?

When did North Charleston, South Carolina have its best air quality in the last 24 hours?

What is the real-time air quality index for North Charleston, South Carolina?

Which pollutant is found most often in North Charleston, South Carolina?

What can I do if the air quality in North Charleston, South Carolina is poor?

What are the current PM2.5 levels in North Charleston, South Carolina?

What are the current PM10 levels at North Charleston, South Carolina?

What are the current carbon monoxide (CO) levels at North Charleston, South Carolina?

What are the current sulfur dioxide (SO2) levels at North Charleston, South Carolina?

What are the current ozone (O3) levels at North Charleston, South Carolina?

What are the current nitrogen dioxide (NO2) levels at North Charleston, South Carolina?

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 North Charleston, South Carolina?

What are the current PM₁₀ levels at North Charleston, South Carolina?

What are the current sulfur dioxide (SO₂) levels at North Charleston, South Carolina?

What are the current ozone (O₃) levels at North Charleston, South Carolina?

What are the current nitrogen dioxide (NO₂) levels at North Charleston, South Carolina?