What are the current PM10 levels at Moncks Corner, South Carolina?

The current PM10 levels in Moncks Corner, South Carolina are 20.01 μg/m3.

What are the current sulfur dioxide (SO2) levels at Moncks Corner, South Carolina?

The current sulfur dioxide (SO2) levels in Moncks Corner, South Carolina are 0.312 ppb.

What are the current ozone (O3) levels at Moncks Corner, South Carolina?

The current ozone (O3) levels at Moncks Corner, South Carolina is 33.992 ppm.

What are the current nitrogen dioxide (NO2) levels at Moncks Corner, South Carolina?

The current nitrogen dioxide (NO2) levels at Moncks Corner, South Carolina is 2.787 ppb.

Real-time air quality index in Moncks Corner, South Carolina today

Name: Live air pollution levels in Moncks Corner, South Carolina today
Creator: Ambee

Stay updated with real-time air quality in Moncks Corner, 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

Moncks Corner, South Carolina

Last updated: ... (Local time)

Common air pollutants in Moncks Corner, South Carolina

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

8.66 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

28.81 μg/m³

155

255

425

605+

Ozone (O₃)

27.96 ppb

201

201+

Sulfur Dioxide (SO₂)

0.55 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

10.26 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.32 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

Moncks Corner, South Carolina

Get Live Pollen Counts

Moncks Corner, South Carolina

Scroll To Air Quality Map

Track live Moncks Corner, South Carolina air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-09-01T11:00:00.000Z	31 \| good	4.938 \| good	20.301 \| good	33.996 \| good	0.557 \| good	3.578 \| good	0.2 \| good
2025-09-01T12:00:00.000Z	35 \| good	4.876 \| good	21.273 \| good	37.964 \| good	0.571 \| good	3.526 \| good	0.2 \| good
2025-09-01T13:00:00.000Z	33 \| good	4.786 \| good	18.597 \| good	35.981 \| good	0.545 \| good	3.191 \| good	0.2 \| good
2025-09-01T14:00:00.000Z	31 \| good	4.618 \| good	19.846 \| good	34 \| good	0.36 \| good	3.727 \| good	0.168 \| good
2025-09-01T15:00:00.000Z	31 \| good	4.494 \| good	20.01 \| good	33.992 \| good	0.312 \| good	2.787 \| good	0.168 \| good
2025-09-01T16:00:00.000Z	34 \| good	4.415 \| good	19.512 \| good	37.006 \| good	0.267 \| good	2.028 \| good	0.134 \| good
2025-09-01T17:00:00.000Z	31 \| good	4.383 \| good	19.069 \| good	33.032 \| good	0.197 \| good	1.972 \| good	0.134 \| good
2025-09-01T18:00:00.000Z	33 \| good	4.292 \| good	19.672 \| good	36.025 \| good	0.228 \| good	2.018 \| good	0.134 \| good
2025-09-01T19:00:00.000Z	31 \| good	4.178 \| good	16.982 \| good	33.037 \| good	0.443 \| good	1.332 \| good	0.154 \| good
2025-09-01T20:00:00.000Z	31 \| good	4.021 \| good	16.91 \| good	33.04 \| good	0.1 \| good	2.358 \| good	0.154 \| good
2025-09-01T21:00:00.000Z	28 \| good	4.116 \| good	14.569 \| good	30.054 \| good	0.391 \| good	1.891 \| good	0.134 \| good
2025-09-01T22:00:00.000Z	30 \| good	3.992 \| good	16.26 \| good	32.034 \| good	2.852 \| good	2.124 \| good	0.134 \| good
2025-09-01T23:00:00.000Z	31 \| good	4.412 \| good	16.779 \| good	33.029 \| good	0.244 \| good	3.044 \| good	0.139 \| good
2025-09-02T00:00:00.000Z	28 \| good	5.364 \| good	22.993 \| good	30.023 \| good	0.362 \| good	2.418 \| good	0.173 \| good
2025-09-02T01:00:00.000Z	29 \| good	4.56 \| good	19.642 \| good	31.012 \| good	0.395 \| good	3.52 \| good	0.224 \| good
2025-09-02T02:00:00.000Z	29 \| good	4.548 \| good	16.312 \| good	30.993 \| good	0.768 \| good	3.201 \| good	0.239 \| good
2025-09-02T03:00:00.000Z	28 \| good	4.623 \| good	17.321 \| good	29.968 \| good	0.461 \| good	2.29 \| good	0.239 \| good
2025-09-02T04:00:00.000Z	28 \| good	5.319 \| good	22.305 \| good	29.97 \| good	0.734 \| good	2.991 \| good	0.225 \| good
2025-09-02T05:00:00.000Z	27 \| good	4.676 \| good	16.913 \| good	28.981 \| good	0.402 \| good	3.201 \| good	0.212 \| good
2025-09-02T06:00:00.000Z	27 \| good	5.172 \| good	24.426 \| good	27.98 \| good	0.38 \| good	2.762 \| good	0.231 \| good
2025-09-02T07:00:00.000Z	27 \| good	4.838 \| good	17.23 \| good	24.994 \| good	0.553 \| good	2.907 \| good	0.178 \| good
2025-09-02T08:00:00.000Z	27 \| good	5.181 \| good	21.896 \| good	26.981 \| good	1.01 \| good	4.951 \| good	0.173 \| good
2025-09-02T09:00:00.000Z	27 \| good	5.305 \| good	24.259 \| good	25.994 \| good	1.535 \| good	5.142 \| good	0.173 \| good
2025-09-02T10:00:00.000Z	27 \| good	5.441 \| good	18.898 \| good	27.988 \| good	0.63 \| good	5.63 \| good	0.2 \| good
2025-09-02T11:00:00.000Z	33 \| good	6.004 \| good	11.223 \| good	27.983 \| good	1.83 \| good	7.25 \| good	0.22 \| good
2025-09-02T12:00:00.000Z	33 \| good	6.038 \| good	19.814 \| good	26.993 \| good	1.413 \| good	6.807 \| good	0.239 \| good
2025-09-02T13:00:00.000Z	33 \| good	5.979 \| good	22.458 \| good	26.986 \| good	0.614 \| good	6.199 \| good	0.258 \| good
2025-09-02T14:00:00.000Z	33 \| good	5.683 \| good	21.455 \| good	27.988 \| good	2.584 \| good	6.904 \| good	0.22 \| good
2025-09-02T15:00:00.000Z	29 \| good	5.062 \| good	23.426 \| good	30.988 \| good	3.723 \| good	4.929 \| good	0.173 \| good
2025-09-02T16:00:00.000Z	30 \| good	4.658 \| good	21.988 \| good	31.995 \| good	2.342 \| good	4.313 \| good	0.154 \| good
2025-09-02T17:00:00.000Z	30 \| good	4.361 \| good	17.509 \| good	32.014 \| good	2.632 \| good	3.604 \| good	0.148 \| good
2025-09-02T18:00:00.000Z	31 \| good	4.248 \| good	16.741 \| good	33.016 \| good	0.366 \| good	3.343 \| good	0.148 \| good
2025-09-02T19:00:00.000Z	31 \| good	3.929 \| good	20.639 \| good	33.031 \| good	0.343 \| good	2.914 \| good	0.154 \| good
2025-09-02T20:00:00.000Z	31 \| good	3.997 \| good	13.438 \| good	33.032 \| good	1.966 \| good	2.459 \| good	0.154 \| good
2025-09-02T21:00:00.000Z	31 \| good	5.442 \| good	20.671 \| good	33.033 \| good	1.753 \| good	2.639 \| good	0.168 \| good
2025-09-02T22:00:00.000Z	49 \| good	8.79 \| good	40.027 \| good	34.025 \| good	0.302 \| good	2.335 \| good	0.2 \| good
2025-09-02T23:00:00.000Z	44 \| good	7.95 \| good	14.857 \| good	34.022 \| good	0.893 \| good	1.678 \| good	0.2 \| good
2025-09-03T00:00:00.000Z	44 \| good	8.065 \| good	18.355 \| good	30.035 \| good	0.666 \| good	2.014 \| good	0.224 \| good
2025-09-03T01:00:00.000Z	38 \| good	7.222 \| good	18.459 \| good	29.011 \| good	0.518 \| good	2.737 \| good	0.219 \| good
2025-09-03T02:00:00.000Z	33 \| good	6.405 \| good	28.889 \| good	29.99 \| good	0.606 \| good	3.224 \| good	0.253 \| good
2025-09-03T03:00:00.000Z	27 \| good	5.023 \| good	21.835 \| good	11.191 \| good	0.436 \| good	1.927 \| good	0.188 \| good
2025-09-03T04:00:00.000Z	33 \| good	5.651 \| good	18.174 \| good	30.972 \| good	0.876 \| good	3.526 \| good	0.312 \| good
2025-09-03T05:00:00.000Z	33 \| good	6.17 \| good	23.926 \| good	30.985 \| good	1.198 \| good	4.417 \| good	0.326 \| good
2025-09-03T06:00:00.000Z	38 \| good	6.533 \| good	28.186 \| good	30.97 \| good	0.989 \| good	5.507 \| good	0.307 \| good
2025-09-03T07:00:00.000Z	44 \| good	7.884 \| good	34.591 \| good	31.944 \| good	0.808 \| good	5.774 \| good	0.326 \| good
2025-09-03T08:00:00.000Z	44 \| good	7.516 \| good	34.676 \| good	29.941 \| good	1.022 \| good	6.109 \| good	0.317 \| good
2025-09-03T09:00:00.000Z	49 \| good	8.557 \| good	40.243 \| good	30.934 \| good	0.857 \| good	7.902 \| good	0.297 \| good
2025-09-03T10:00:00.000Z	49 \| good	8.663 \| good	28.81 \| good	27.961 \| good	0.55 \| good	10.258 \| good	0.317 \| good
2025-09-03T10:00:00.000Z	49 \| good	8.663 \| good	28.81 \| good	27.961 \| good	0.55 \| good	10.258 \| good	0.317 \| good
2025-09-01T17:00:00.000Z	32 \| good	4.895 \| good	21.075 \| good	34.684 \| good	1.125 \| good	0.622 \| good	0.147 \| good
2025-09-01T18:00:00.000Z	31 \| good	4.864 \| good	21.054 \| good	33.649 \| good	1.15 \| good	0.548 \| good	0.143 \| good
2025-09-01T19:00:00.000Z	31 \| good	5.104 \| good	22.043 \| good	33.479 \| good	1.154 \| good	0.581 \| good	0.142 \| good
2025-09-01T20:00:00.000Z	31 \| good	5.351 \| good	23.075 \| good	32.544 \| good	1.157 \| good	0.615 \| good	0.14 \| good
2025-09-01T21:00:00.000Z	29 \| good	4.715 \| good	20.44 \| good	31.369 \| good	1.161 \| good	0.648 \| good	0.139 \| good
2025-09-01T22:00:00.000Z	29 \| good	5.25 \| good	22.741 \| good	31.267 \| good	1.06 \| good	1.412 \| good	0.149 \| good
2025-09-01T23:00:00.000Z	27 \| good	5.476 \| good	23.818 \| good	23.323 \| good	0.96 \| good	2.177 \| good	0.159 \| good
2025-09-02T00:00:00.000Z	38 \| good	6.574 \| good	29.457 \| good	19.623 \| good	0.859 \| good	2.941 \| good	0.168 \| good
2025-09-02T01:00:00.000Z	38 \| good	6.913 \| good	30.806 \| good	16.26 \| good	0.706 \| good	2.591 \| good	0.166 \| good
2025-09-02T02:00:00.000Z	33 \| good	6.438 \| good	28.751 \| good	16.19 \| good	0.553 \| good	2.242 \| good	0.164 \| good
2025-09-02T03:00:00.000Z	38 \| good	6.901 \| good	30.721 \| good	16.53 \| good	0.4 \| good	1.892 \| good	0.162 \| good
2025-09-02T04:00:00.000Z	38 \| good	6.706 \| good	30.022 \| good	20.923 \| good	0.419 \| good	1.819 \| good	0.161 \| good
2025-09-02T05:00:00.000Z	38 \| good	6.678 \| good	29.79 \| good	22.12 \| good	0.437 \| good	1.746 \| good	0.159 \| good
2025-09-02T06:00:00.000Z	38 \| good	7.057 \| good	31.179 \| good	22.112 \| good	0.455 \| good	1.672 \| good	0.158 \| good
2025-09-02T07:00:00.000Z	38 \| good	7.087 \| good	31.218 \| good	21.501 \| good	0.468 \| good	1.644 \| good	0.157 \| good
2025-09-02T08:00:00.000Z	38 \| good	7.427 \| good	32.736 \| good	19.586 \| good	0.48 \| good	1.616 \| good	0.155 \| good
2025-09-02T09:00:00.000Z	38 \| good	6.994 \| good	30.835 \| good	20.888 \| good	0.492 \| good	1.587 \| good	0.153 \| good
2025-09-02T10:00:00.000Z	33 \| good	6.345 \| good	28.071 \| good	20.97 \| good	0.454 \| good	1.589 \| good	0.153 \| good
2025-09-02T11:00:00.000Z	33 \| good	5.681 \| good	24.782 \| good	23.017 \| good	0.415 \| good	1.59 \| good	0.153 \| good
2025-09-02T12:00:00.000Z	33 \| good	5.918 \| good	26.391 \| good	21.016 \| good	0.377 \| good	1.592 \| good	0.153 \| good
2025-09-02T13:00:00.000Z	33 \| good	5.64 \| good	24.131 \| good	23.288 \| good	0.605 \| good	1.302 \| good	0.15 \| good
2025-09-02T14:00:00.000Z	27 \| good	5.387 \| good	23.075 \| good	25.871 \| good	0.834 \| good	1.012 \| good	0.146 \| good
2025-09-02T15:00:00.000Z	28 \| good	5.08 \| good	21.76 \| good	29.609 \| good	1.062 \| good	0.721 \| good	0.143 \| good
2025-09-02T16:00:00.000Z	28 \| good	5.457 \| good	23.288 \| good	29.987 \| good	1.114 \| good	0.669 \| good	0.141 \| good
2025-09-02T17:00:00.000Z	29 \| good	4.568 \| good	19.76 \| good	31.216 \| good	1.166 \| good	0.617 \| good	0.138 \| good
2025-09-02T18:00:00.000Z	29 \| good	4.718 \| good	20.669 \| good	31.321 \| good	1.217 \| good	0.565 \| good	0.136 \| good
2025-09-02T19:00:00.000Z	29 \| good	4.86 \| good	21.075 \| good	31.183 \| good	1.24 \| good	0.604 \| good	0.136 \| good
2025-09-02T20:00:00.000Z	26 \| good	4.112 \| good	18.054 \| good	27.807 \| good	1.263 \| good	0.643 \| good	0.136 \| good
2025-09-02T21:00:00.000Z	27 \| good	4.055 \| good	17.968 \| good	28.674 \| good	1.285 \| good	0.682 \| good	0.136 \| good
2025-09-02T22:00:00.000Z	25 \| good	4.421 \| good	19.151 \| good	27.238 \| good	1.181 \| good	1.602 \| good	0.149 \| good
2025-09-02T23:00:00.000Z	27 \| good	4.768 \| good	20.782 \| good	21.153 \| good	1.076 \| good	2.522 \| good	0.162 \| good
2025-09-03T00:00:00.000Z	33 \| good	5.54 \| good	23.89 \| good	19.505 \| good	0.972 \| good	3.442 \| good	0.175 \| good
2025-09-03T01:00:00.000Z	33 \| good	5.838 \| good	25.053 \| good	17.848 \| good	0.795 \| good	3.115 \| good	0.174 \| good
2025-09-03T02:00:00.000Z	33 \| good	5.666 \| good	24.284 \| good	15.11 \| good	0.617 \| good	2.788 \| good	0.173 \| good
2025-09-03T03:00:00.000Z	33 \| good	6.042 \| good	27.151 \| good	13.088 \| good	0.44 \| good	2.462 \| good	0.171 \| good
2025-09-03T04:00:00.000Z	33 \| good	6.429 \| good	28.792 \| good	15.876 \| good	0.381 \| good	2.208 \| good	0.168 \| good
2025-09-03T05:00:00.000Z	38 \| good	6.769 \| good	30.098 \| good	16.922 \| good	0.322 \| good	1.955 \| good	0.164 \| good
2025-09-03T06:00:00.000Z	38 \| good	7.129 \| good	31.706 \| good	15.524 \| good	0.263 \| good	1.702 \| good	0.161 \| good
2025-09-03T07:00:00.000Z	44 \| good	7.503 \| good	32.907 \| good	12.861 \| good	0.317 \| good	1.718 \| good	0.16 \| good
2025-09-03T08:00:00.000Z	38 \| good	7.5 \| good	32.782 \| good	14.202 \| good	0.371 \| good	1.734 \| good	0.158 \| good
2025-09-03T09:00:00.000Z	44 \| good	8.105 \| good	35.574 \| good	11.217 \| good	0.425 \| good	1.75 \| good	0.157 \| good
2025-09-03T10:00:00.000Z	38 \| good	7.054 \| good	31.039 \| good	11.469 \| good	0.4 \| good	1.882 \| good	0.161 \| good
2025-09-03T11:00:00.000Z	33 \| good	6.108 \| good	27.12 \| good	13.27 \| good	0.375 \| good	2.014 \| good	0.165 \| good
2025-09-03T12:00:00.000Z	38 \| good	6.592 \| good	29.782 \| good	16.091 \| good	0.351 \| good	2.146 \| good	0.169 \| good
2025-09-03T13:00:00.000Z	38 \| good	6.598 \| good	29.736 \| good	18.405 \| good	0.817 \| good	1.723 \| good	0.163 \| good
2025-09-03T14:00:00.000Z	33 \| good	5.616 \| good	23.992 \| good	17.883 \| good	1.282 \| good	1.3 \| good	0.157 \| good
2025-09-03T15:00:00.000Z	27 \| good	4.82 \| good	21.044 \| good	23.139 \| good	1.748 \| good	0.878 \| good	0.151 \| good
2025-09-03T16:00:00.000Z	27 \| good	5.152 \| good	22.146 \| good	22.84 \| good	1.774 \| good	0.813 \| good	0.147 \| good

Moncks Corner

Empower business decisions with accurate air quality data

Moncks Corner, South Carolina air quality map: Real-time AQI near you

0.31ppm

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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Frequently asked questions

How frequently is the air quality data for Moncks Corner, South Carolina updated?

Air quality data for Moncks Corner, South Carolina is updated on an hourly basis.

When did Moncks Corner, South Carolina experience the worst air quality in the last 24 hours?

The worst air quality in Moncks Corner, South Carolina was recorded at 05:00:00 on 2025-08-31.

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

The best air quality in Moncks Corner, South Carolina was recorded at 10:00:00 on 2025-09-01.

What is the real-time air quality index for Moncks Corner, South Carolina?

The real-time air quality index in Moncks Corner, South Carolina is 31, currently categorized as Good.

Which pollutant is found most often in Moncks Corner, South Carolina?

The most common pollutant in Moncks Corner, South Carolina is O3.

What can I do if the air quality in Moncks Corner, South Carolina is poor?

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

What are the current PM_2.5 levels in Moncks Corner, South Carolina?

The measured PM_2.5 levels in Moncks Corner, South Carolina at present are 4.494 μg/m³.

What are the current PM₁₀ levels at Moncks Corner, South Carolina?

The current PM₁₀ levels in Moncks Corner, South Carolina are 20.01 μg/m³.

What are the current carbon monoxide (CO) levels at Moncks Corner, South Carolina?

The current carbon monoxide (CO) level in Moncks Corner, South Carolina is 0.168 ppm.

What are the current sulfur dioxide (SO₂) levels at Moncks Corner, South Carolina?

The current sulfur dioxide (SO₂) levels in Moncks Corner, South Carolina are 0.312 ppb.

What are the current ozone (O₃) levels at Moncks Corner, South Carolina?

The current ozone (O₃) levels at Moncks Corner, South Carolina is 33.992 ppm.

What are the current nitrogen dioxide (NO₂) levels at Moncks Corner, South Carolina?

The current nitrogen dioxide (NO₂) levels at Moncks Corner, South Carolina is 2.787 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-09-01T11:00:00.000Z	31 \| good	4.938 \| good	20.301 \| good	33.996 \| good	0.557 \| good	3.578 \| good	0.2 \| good
2025-09-01T12:00:00.000Z	35 \| good	4.876 \| good	21.273 \| good	37.964 \| good	0.571 \| good	3.526 \| good	0.2 \| good
2025-09-01T13:00:00.000Z	33 \| good	4.786 \| good	18.597 \| good	35.981 \| good	0.545 \| good	3.191 \| good	0.2 \| good
2025-09-01T14:00:00.000Z	31 \| good	4.618 \| good	19.846 \| good	34 \| good	0.36 \| good	3.727 \| good	0.168 \| good
2025-09-01T15:00:00.000Z	31 \| good	4.494 \| good	20.01 \| good	33.992 \| good	0.312 \| good	2.787 \| good	0.168 \| good
2025-09-01T16:00:00.000Z	34 \| good	4.415 \| good	19.512 \| good	37.006 \| good	0.267 \| good	2.028 \| good	0.134 \| good
2025-09-01T17:00:00.000Z	31 \| good	4.383 \| good	19.069 \| good	33.032 \| good	0.197 \| good	1.972 \| good	0.134 \| good
2025-09-01T18:00:00.000Z	33 \| good	4.292 \| good	19.672 \| good	36.025 \| good	0.228 \| good	2.018 \| good	0.134 \| good
2025-09-01T19:00:00.000Z	31 \| good	4.178 \| good	16.982 \| good	33.037 \| good	0.443 \| good	1.332 \| good	0.154 \| good
2025-09-01T20:00:00.000Z	31 \| good	4.021 \| good	16.91 \| good	33.04 \| good	0.1 \| good	2.358 \| good	0.154 \| good
2025-09-01T21:00:00.000Z	28 \| good	4.116 \| good	14.569 \| good	30.054 \| good	0.391 \| good	1.891 \| good	0.134 \| good
2025-09-01T22:00:00.000Z	30 \| good	3.992 \| good	16.26 \| good	32.034 \| good	2.852 \| good	2.124 \| good	0.134 \| good
2025-09-01T23:00:00.000Z	31 \| good	4.412 \| good	16.779 \| good	33.029 \| good	0.244 \| good	3.044 \| good	0.139 \| good
2025-09-02T00:00:00.000Z	28 \| good	5.364 \| good	22.993 \| good	30.023 \| good	0.362 \| good	2.418 \| good	0.173 \| good
2025-09-02T01:00:00.000Z	29 \| good	4.56 \| good	19.642 \| good	31.012 \| good	0.395 \| good	3.52 \| good	0.224 \| good
2025-09-02T02:00:00.000Z	29 \| good	4.548 \| good	16.312 \| good	30.993 \| good	0.768 \| good	3.201 \| good	0.239 \| good
2025-09-02T03:00:00.000Z	28 \| good	4.623 \| good	17.321 \| good	29.968 \| good	0.461 \| good	2.29 \| good	0.239 \| good
2025-09-02T04:00:00.000Z	28 \| good	5.319 \| good	22.305 \| good	29.97 \| good	0.734 \| good	2.991 \| good	0.225 \| good
2025-09-02T05:00:00.000Z	27 \| good	4.676 \| good	16.913 \| good	28.981 \| good	0.402 \| good	3.201 \| good	0.212 \| good
2025-09-02T06:00:00.000Z	27 \| good	5.172 \| good	24.426 \| good	27.98 \| good	0.38 \| good	2.762 \| good	0.231 \| good
2025-09-02T07:00:00.000Z	27 \| good	4.838 \| good	17.23 \| good	24.994 \| good	0.553 \| good	2.907 \| good	0.178 \| good
2025-09-02T08:00:00.000Z	27 \| good	5.181 \| good	21.896 \| good	26.981 \| good	1.01 \| good	4.951 \| good	0.173 \| good
2025-09-02T09:00:00.000Z	27 \| good	5.305 \| good	24.259 \| good	25.994 \| good	1.535 \| good	5.142 \| good	0.173 \| good
2025-09-02T10:00:00.000Z	27 \| good	5.441 \| good	18.898 \| good	27.988 \| good	0.63 \| good	5.63 \| good	0.2 \| good
2025-09-02T11:00:00.000Z	33 \| good	6.004 \| good	11.223 \| good	27.983 \| good	1.83 \| good	7.25 \| good	0.22 \| good
2025-09-02T12:00:00.000Z	33 \| good	6.038 \| good	19.814 \| good	26.993 \| good	1.413 \| good	6.807 \| good	0.239 \| good
2025-09-02T13:00:00.000Z	33 \| good	5.979 \| good	22.458 \| good	26.986 \| good	0.614 \| good	6.199 \| good	0.258 \| good
2025-09-02T14:00:00.000Z	33 \| good	5.683 \| good	21.455 \| good	27.988 \| good	2.584 \| good	6.904 \| good	0.22 \| good
2025-09-02T15:00:00.000Z	29 \| good	5.062 \| good	23.426 \| good	30.988 \| good	3.723 \| good	4.929 \| good	0.173 \| good
2025-09-02T16:00:00.000Z	30 \| good	4.658 \| good	21.988 \| good	31.995 \| good	2.342 \| good	4.313 \| good	0.154 \| good
2025-09-02T17:00:00.000Z	30 \| good	4.361 \| good	17.509 \| good	32.014 \| good	2.632 \| good	3.604 \| good	0.148 \| good
2025-09-02T18:00:00.000Z	31 \| good	4.248 \| good	16.741 \| good	33.016 \| good	0.366 \| good	3.343 \| good	0.148 \| good
2025-09-02T19:00:00.000Z	31 \| good	3.929 \| good	20.639 \| good	33.031 \| good	0.343 \| good	2.914 \| good	0.154 \| good
2025-09-02T20:00:00.000Z	31 \| good	3.997 \| good	13.438 \| good	33.032 \| good	1.966 \| good	2.459 \| good	0.154 \| good
2025-09-02T21:00:00.000Z	31 \| good	5.442 \| good	20.671 \| good	33.033 \| good	1.753 \| good	2.639 \| good	0.168 \| good
2025-09-02T22:00:00.000Z	49 \| good	8.79 \| good	40.027 \| good	34.025 \| good	0.302 \| good	2.335 \| good	0.2 \| good
2025-09-02T23:00:00.000Z	44 \| good	7.95 \| good	14.857 \| good	34.022 \| good	0.893 \| good	1.678 \| good	0.2 \| good
2025-09-03T00:00:00.000Z	44 \| good	8.065 \| good	18.355 \| good	30.035 \| good	0.666 \| good	2.014 \| good	0.224 \| good
2025-09-03T01:00:00.000Z	38 \| good	7.222 \| good	18.459 \| good	29.011 \| good	0.518 \| good	2.737 \| good	0.219 \| good
2025-09-03T02:00:00.000Z	33 \| good	6.405 \| good	28.889 \| good	29.99 \| good	0.606 \| good	3.224 \| good	0.253 \| good
2025-09-03T03:00:00.000Z	27 \| good	5.023 \| good	21.835 \| good	11.191 \| good	0.436 \| good	1.927 \| good	0.188 \| good
2025-09-03T04:00:00.000Z	33 \| good	5.651 \| good	18.174 \| good	30.972 \| good	0.876 \| good	3.526 \| good	0.312 \| good
2025-09-03T05:00:00.000Z	33 \| good	6.17 \| good	23.926 \| good	30.985 \| good	1.198 \| good	4.417 \| good	0.326 \| good
2025-09-03T06:00:00.000Z	38 \| good	6.533 \| good	28.186 \| good	30.97 \| good	0.989 \| good	5.507 \| good	0.307 \| good
2025-09-03T07:00:00.000Z	44 \| good	7.884 \| good	34.591 \| good	31.944 \| good	0.808 \| good	5.774 \| good	0.326 \| good
2025-09-03T08:00:00.000Z	44 \| good	7.516 \| good	34.676 \| good	29.941 \| good	1.022 \| good	6.109 \| good	0.317 \| good
2025-09-03T09:00:00.000Z	49 \| good	8.557 \| good	40.243 \| good	30.934 \| good	0.857 \| good	7.902 \| good	0.297 \| good
2025-09-03T10:00:00.000Z	49 \| good	8.663 \| good	28.81 \| good	27.961 \| good	0.55 \| good	10.258 \| good	0.317 \| good
2025-09-03T10:00:00.000Z	49 \| good	8.663 \| good	28.81 \| good	27.961 \| good	0.55 \| good	10.258 \| good	0.317 \| good
2025-09-01T17:00:00.000Z	32 \| good	4.895 \| good	21.075 \| good	34.684 \| good	1.125 \| good	0.622 \| good	0.147 \| good
2025-09-01T18:00:00.000Z	31 \| good	4.864 \| good	21.054 \| good	33.649 \| good	1.15 \| good	0.548 \| good	0.143 \| good
2025-09-01T19:00:00.000Z	31 \| good	5.104 \| good	22.043 \| good	33.479 \| good	1.154 \| good	0.581 \| good	0.142 \| good
2025-09-01T20:00:00.000Z	31 \| good	5.351 \| good	23.075 \| good	32.544 \| good	1.157 \| good	0.615 \| good	0.14 \| good
2025-09-01T21:00:00.000Z	29 \| good	4.715 \| good	20.44 \| good	31.369 \| good	1.161 \| good	0.648 \| good	0.139 \| good
2025-09-01T22:00:00.000Z	29 \| good	5.25 \| good	22.741 \| good	31.267 \| good	1.06 \| good	1.412 \| good	0.149 \| good
2025-09-01T23:00:00.000Z	27 \| good	5.476 \| good	23.818 \| good	23.323 \| good	0.96 \| good	2.177 \| good	0.159 \| good
2025-09-02T00:00:00.000Z	38 \| good	6.574 \| good	29.457 \| good	19.623 \| good	0.859 \| good	2.941 \| good	0.168 \| good
2025-09-02T01:00:00.000Z	38 \| good	6.913 \| good	30.806 \| good	16.26 \| good	0.706 \| good	2.591 \| good	0.166 \| good
2025-09-02T02:00:00.000Z	33 \| good	6.438 \| good	28.751 \| good	16.19 \| good	0.553 \| good	2.242 \| good	0.164 \| good
2025-09-02T03:00:00.000Z	38 \| good	6.901 \| good	30.721 \| good	16.53 \| good	0.4 \| good	1.892 \| good	0.162 \| good
2025-09-02T04:00:00.000Z	38 \| good	6.706 \| good	30.022 \| good	20.923 \| good	0.419 \| good	1.819 \| good	0.161 \| good
2025-09-02T05:00:00.000Z	38 \| good	6.678 \| good	29.79 \| good	22.12 \| good	0.437 \| good	1.746 \| good	0.159 \| good
2025-09-02T06:00:00.000Z	38 \| good	7.057 \| good	31.179 \| good	22.112 \| good	0.455 \| good	1.672 \| good	0.158 \| good
2025-09-02T07:00:00.000Z	38 \| good	7.087 \| good	31.218 \| good	21.501 \| good	0.468 \| good	1.644 \| good	0.157 \| good
2025-09-02T08:00:00.000Z	38 \| good	7.427 \| good	32.736 \| good	19.586 \| good	0.48 \| good	1.616 \| good	0.155 \| good
2025-09-02T09:00:00.000Z	38 \| good	6.994 \| good	30.835 \| good	20.888 \| good	0.492 \| good	1.587 \| good	0.153 \| good
2025-09-02T10:00:00.000Z	33 \| good	6.345 \| good	28.071 \| good	20.97 \| good	0.454 \| good	1.589 \| good	0.153 \| good
2025-09-02T11:00:00.000Z	33 \| good	5.681 \| good	24.782 \| good	23.017 \| good	0.415 \| good	1.59 \| good	0.153 \| good
2025-09-02T12:00:00.000Z	33 \| good	5.918 \| good	26.391 \| good	21.016 \| good	0.377 \| good	1.592 \| good	0.153 \| good
2025-09-02T13:00:00.000Z	33 \| good	5.64 \| good	24.131 \| good	23.288 \| good	0.605 \| good	1.302 \| good	0.15 \| good
2025-09-02T14:00:00.000Z	27 \| good	5.387 \| good	23.075 \| good	25.871 \| good	0.834 \| good	1.012 \| good	0.146 \| good
2025-09-02T15:00:00.000Z	28 \| good	5.08 \| good	21.76 \| good	29.609 \| good	1.062 \| good	0.721 \| good	0.143 \| good
2025-09-02T16:00:00.000Z	28 \| good	5.457 \| good	23.288 \| good	29.987 \| good	1.114 \| good	0.669 \| good	0.141 \| good
2025-09-02T17:00:00.000Z	29 \| good	4.568 \| good	19.76 \| good	31.216 \| good	1.166 \| good	0.617 \| good	0.138 \| good
2025-09-02T18:00:00.000Z	29 \| good	4.718 \| good	20.669 \| good	31.321 \| good	1.217 \| good	0.565 \| good	0.136 \| good
2025-09-02T19:00:00.000Z	29 \| good	4.86 \| good	21.075 \| good	31.183 \| good	1.24 \| good	0.604 \| good	0.136 \| good
2025-09-02T20:00:00.000Z	26 \| good	4.112 \| good	18.054 \| good	27.807 \| good	1.263 \| good	0.643 \| good	0.136 \| good
2025-09-02T21:00:00.000Z	27 \| good	4.055 \| good	17.968 \| good	28.674 \| good	1.285 \| good	0.682 \| good	0.136 \| good
2025-09-02T22:00:00.000Z	25 \| good	4.421 \| good	19.151 \| good	27.238 \| good	1.181 \| good	1.602 \| good	0.149 \| good
2025-09-02T23:00:00.000Z	27 \| good	4.768 \| good	20.782 \| good	21.153 \| good	1.076 \| good	2.522 \| good	0.162 \| good
2025-09-03T00:00:00.000Z	33 \| good	5.54 \| good	23.89 \| good	19.505 \| good	0.972 \| good	3.442 \| good	0.175 \| good
2025-09-03T01:00:00.000Z	33 \| good	5.838 \| good	25.053 \| good	17.848 \| good	0.795 \| good	3.115 \| good	0.174 \| good
2025-09-03T02:00:00.000Z	33 \| good	5.666 \| good	24.284 \| good	15.11 \| good	0.617 \| good	2.788 \| good	0.173 \| good
2025-09-03T03:00:00.000Z	33 \| good	6.042 \| good	27.151 \| good	13.088 \| good	0.44 \| good	2.462 \| good	0.171 \| good
2025-09-03T04:00:00.000Z	33 \| good	6.429 \| good	28.792 \| good	15.876 \| good	0.381 \| good	2.208 \| good	0.168 \| good
2025-09-03T05:00:00.000Z	38 \| good	6.769 \| good	30.098 \| good	16.922 \| good	0.322 \| good	1.955 \| good	0.164 \| good
2025-09-03T06:00:00.000Z	38 \| good	7.129 \| good	31.706 \| good	15.524 \| good	0.263 \| good	1.702 \| good	0.161 \| good
2025-09-03T07:00:00.000Z	44 \| good	7.503 \| good	32.907 \| good	12.861 \| good	0.317 \| good	1.718 \| good	0.16 \| good
2025-09-03T08:00:00.000Z	38 \| good	7.5 \| good	32.782 \| good	14.202 \| good	0.371 \| good	1.734 \| good	0.158 \| good
2025-09-03T09:00:00.000Z	44 \| good	8.105 \| good	35.574 \| good	11.217 \| good	0.425 \| good	1.75 \| good	0.157 \| good
2025-09-03T10:00:00.000Z	38 \| good	7.054 \| good	31.039 \| good	11.469 \| good	0.4 \| good	1.882 \| good	0.161 \| good
2025-09-03T11:00:00.000Z	33 \| good	6.108 \| good	27.12 \| good	13.27 \| good	0.375 \| good	2.014 \| good	0.165 \| good
2025-09-03T12:00:00.000Z	38 \| good	6.592 \| good	29.782 \| good	16.091 \| good	0.351 \| good	2.146 \| good	0.169 \| good
2025-09-03T13:00:00.000Z	38 \| good	6.598 \| good	29.736 \| good	18.405 \| good	0.817 \| good	1.723 \| good	0.163 \| good
2025-09-03T14:00:00.000Z	33 \| good	5.616 \| good	23.992 \| good	17.883 \| good	1.282 \| good	1.3 \| good	0.157 \| good
2025-09-03T15:00:00.000Z	27 \| good	4.82 \| good	21.044 \| good	23.139 \| good	1.748 \| good	0.878 \| good	0.151 \| good
2025-09-03T16:00:00.000Z	27 \| good	5.152 \| good	22.146 \| good	22.84 \| good	1.774 \| good	0.813 \| good	0.147 \| good

Real-time air quality index in Moncks Corner, South Carolina today

Common air pollutants in Moncks Corner, South Carolina

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Moncks Corner, South Carolina air quality forecast and history

Empower business decisions with accurate air quality data

Moncks Corner, South Carolina air quality map: Real-time AQI near you

Air quality in nearby cities

Goose Creek, South Carolina

Summerville, South Carolina

Ladson, South Carolina

Hanahan, South Carolina

North Charleston, South Carolina

Charleston, 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 Moncks Corner, South Carolina updated?

When did Moncks Corner, South Carolina experience the worst air quality in the last 24 hours?

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

What is the real-time air quality index for Moncks Corner, South Carolina?

Which pollutant is found most often in Moncks Corner, South Carolina?

What can I do if the air quality in Moncks Corner, South Carolina is poor?

What are the current PM2.5 levels in Moncks Corner, South Carolina?

What are the current PM10 levels at Moncks Corner, South Carolina?

What are the current carbon monoxide (CO) levels at Moncks Corner, South Carolina?

What are the current sulfur dioxide (SO2) levels at Moncks Corner, South Carolina?

What are the current ozone (O3) levels at Moncks Corner, South Carolina?

What are the current nitrogen dioxide (NO2) levels at Moncks Corner, 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 Moncks Corner, South Carolina?

What are the current PM₁₀ levels at Moncks Corner, South Carolina?

What are the current sulfur dioxide (SO₂) levels at Moncks Corner, South Carolina?

What are the current ozone (O₃) levels at Moncks Corner, South Carolina?

What are the current nitrogen dioxide (NO₂) levels at Moncks Corner, South Carolina?