What are the current PM10 levels at Pemberton Township, New Jersey?

The current PM10 levels in Pemberton Township, New Jersey are 17.817 μg/m3.

What are the current sulfur dioxide (SO2) levels at Pemberton Township, New Jersey?

The current sulfur dioxide (SO2) levels in Pemberton Township, New Jersey are 0.267 ppb.

What are the current ozone (O3) levels at Pemberton Township, New Jersey?

The current ozone (O3) levels at Pemberton Township, New Jersey is 26.283 ppm.

What are the current nitrogen dioxide (NO2) levels at Pemberton Township, New Jersey?

The current nitrogen dioxide (NO2) levels at Pemberton Township, New Jersey is 7.218 ppb.

Real-time air quality index in Pemberton Township, New Jersey today

Q: What are the current PM2.5 levels in Pemberton Township, New Jersey?

The measured PM2.5 levels in Pemberton Township, New Jersey at present are 3.504 μg/m3.

Stay updated with real-time air quality in Pemberton Township, New Jersey 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

Pemberton Township, New Jersey

Last updated: ... (Local time)

Common air pollutants in Pemberton Township, New Jersey

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

5.78 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

23.08 μg/m³

155

255

425

605+

Ozone (O₃)

16.49 ppb

201

201+

Sulfur Dioxide (SO₂)

0.53 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

9.11 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.34 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Pemberton Township, New Jersey

Get Live Pollen Counts

Pemberton Township, New Jersey

Scroll To Air Quality Map

Track live Pemberton Township, New Jersey air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-21T16:00:00.000Z	33 \| good	5.544 \| good	18.746 \| good	16.411 \| good	0.852 \| good	6.297 \| good	0.303 \| good
2025-10-21T17:00:00.000Z	22 \| good	4.132 \| good	13.131 \| good	23.854 \| good	0.444 \| good	7.939 \| good	0.237 \| good
2025-10-21T18:00:00.000Z	25 \| good	3.693 \| good	11.978 \| good	26.936 \| good	0.38 \| good	6.477 \| good	0.25 \| good
2025-10-21T19:00:00.000Z	30 \| good	5.321 \| good	25.108 \| good	31.827 \| good	0.375 \| good	5.26 \| good	0.23 \| good
2025-10-21T20:00:00.000Z	32 \| good	2.766 \| good	12.806 \| good	34.775 \| good	0.312 \| good	5.009 \| good	0.23 \| good
2025-10-21T21:00:00.000Z	35 \| good	3.341 \| good	12.637 \| good	38.107 \| good	0.295 \| good	5.313 \| good	0.267 \| good
2025-10-21T22:00:00.000Z	37 \| good	3.078 \| good	11.336 \| good	40.286 \| good	0.319 \| good	5.257 \| good	0.267 \| good
2025-10-21T23:00:00.000Z	34 \| good	2.529 \| good	9.264 \| good	36.797 \| good	0.313 \| good	3.086 \| good	0.287 \| good
2025-10-22T00:00:00.000Z	33 \| good	5.213 \| good	12.691 \| good	36.401 \| good	0.338 \| good	4.764 \| good	0.312 \| good
2025-10-22T01:00:00.000Z	35 \| good	4.107 \| good	12.456 \| good	37.954 \| good	0.355 \| good	6.33 \| good	0.312 \| good
2025-10-22T02:00:00.000Z	38 \| good	6.789 \| good	22.338 \| good	37.206 \| good	0.223 \| good	6.511 \| good	0.267 \| good
2025-10-22T03:00:00.000Z	38 \| good	6.216 \| good	27.848 \| good	40.936 \| good	1.155 \| good	3.988 \| good	0.151 \| good
2025-10-22T04:00:00.000Z	38 \| good	7.123 \| good	31.418 \| good	32.603 \| good	0.33 \| good	4.895 \| good	0.272 \| good
2025-10-22T05:00:00.000Z	38 \| good	7.282 \| good	28.136 \| good	32.584 \| good	0.343 \| good	6.992 \| good	0.227 \| good
2025-10-22T06:00:00.000Z	44 \| good	8.47 \| good	30.141 \| good	28.214 \| good	0.296 \| good	6.788 \| good	0.227 \| good
2025-10-22T07:00:00.000Z	44 \| good	7.858 \| good	33.153 \| good	24.542 \| good	0.296 \| good	7.733 \| good	0.227 \| good
2025-10-22T08:00:00.000Z	49 \| good	9.371 \| good	34.998 \| good	26.656 \| good	0.304 \| good	5.608 \| good	0.123 \| good
2025-10-22T09:00:00.000Z	44 \| good	7.83 \| good	34.13 \| good	24.789 \| good	0.296 \| good	5.574 \| good	0.227 \| good
2025-10-22T10:00:00.000Z	44 \| good	8.12 \| good	33.2 \| good	20.532 \| good	0.289 \| good	7.986 \| good	0.285 \| good
2025-10-22T11:00:00.000Z	38 \| good	7.151 \| good	25.475 \| good	19.58 \| good	0.166 \| good	9.383 \| good	0.285 \| good
2025-10-22T12:00:00.000Z	49 \| good	9.472 \| good	36.822 \| good	20.744 \| good	0.186 \| good	8.121 \| good	0.31 \| good
2025-10-22T13:00:00.000Z	54 \| moderate	10.574 \| good	51.461 \| good	20.119 \| good	0.187 \| good	10.186 \| good	0.335 \| good
2025-10-22T14:00:00.000Z	54 \| moderate	11.411 \| good	46.051 \| good	24.039 \| good	0.365 \| good	6.745 \| good	0.272 \| good
2025-10-22T15:00:00.000Z	27 \| good	5.166 \| good	22.776 \| good	25.157 \| good	0.403 \| good	6.863 \| good	0.272 \| good
2025-10-22T16:00:00.000Z	24 \| good	4.396 \| good	17.083 \| good	26.455 \| good	0.31 \| good	4.757 \| good	0.227 \| good
2025-10-22T17:00:00.000Z	38 \| good	7.189 \| good	14.728 \| good	28.339 \| good	0.466 \| good	3.629 \| good	0.207 \| good
2025-10-22T18:00:00.000Z	29 \| good	4.152 \| good	16.664 \| good	30.659 \| good	0.281 \| good	3.22 \| good	0.165 \| good
2025-10-22T19:00:00.000Z	29 \| good	3.846 \| good	11.214 \| good	30.56 \| good	0.245 \| good	2.762 \| good	0.165 \| good
2025-10-22T20:00:00.000Z	29 \| good	3.54 \| good	13.619 \| good	30.821 \| good	0.282 \| good	3.94 \| good	0.221 \| good
2025-10-22T21:00:00.000Z	31 \| good	3.868 \| good	12.588 \| good	33.322 \| good	0.226 \| good	4.009 \| good	0.196 \| good
2025-10-22T22:00:00.000Z	28 \| good	3.024 \| good	13.637 \| good	30.296 \| good	0.234 \| good	3.658 \| good	0.196 \| good
2025-10-22T23:00:00.000Z	27 \| good	3.555 \| good	15.479 \| good	28.719 \| good	0.226 \| good	4.532 \| good	0.221 \| good
2025-10-23T00:00:00.000Z	24 \| good	3.504 \| good	17.817 \| good	26.283 \| good	0.267 \| good	7.218 \| good	0.245 \| good
2025-10-23T01:00:00.000Z	22 \| good	3.924 \| good	17.866 \| good	23.031 \| good	0.776 \| good	7.858 \| good	0.255 \| good
2025-10-23T02:00:00.000Z	27 \| good	4.994 \| good	20.431 \| good	26.956 \| good	0.251 \| good	6.646 \| good	0.255 \| good
2025-10-23T03:00:00.000Z	27 \| good	5.304 \| good	23.942 \| good	21.775 \| good	0.238 \| good	11.23 \| good	0.182 \| good
2025-10-23T04:00:00.000Z	27 \| good	4.801 \| good	18.004 \| good	21.311 \| good	0.221 \| good	8.768 \| good	0.182 \| good
2025-10-23T05:00:00.000Z	22 \| good	3.976 \| good	18.187 \| good	20.751 \| good	0.192 \| good	6.975 \| good	0.196 \| good
2025-10-23T06:00:00.000Z	22 \| good	3.777 \| good	20.062 \| good	19.414 \| good	0.225 \| good	5.623 \| good	0.184 \| good
2025-10-23T07:00:00.000Z	22 \| good	4.215 \| good	19.846 \| good	21.024 \| good	0.462 \| good	5.957 \| good	0.184 \| good
2025-10-23T08:00:00.000Z	22 \| good	3.639 \| good	16.106 \| good	21.316 \| good	0.215 \| good	6.183 \| good	0.184 \| good
2025-10-23T09:00:00.000Z	22 \| good	4.102 \| good	16.506 \| good	19.095 \| good	0.62 \| good	6.765 \| good	0.184 \| good
2025-10-23T10:00:00.000Z	22 \| good	3.944 \| good	21.394 \| good	19.613 \| good	0.262 \| good	8.796 \| good	0.201 \| good
2025-10-23T11:00:00.000Z	17 \| good	3.097 \| good	14.047 \| good	17.785 \| good	0.49 \| good	8.24 \| good	0.251 \| good
2025-10-23T12:00:00.000Z	27 \| good	5.434 \| good	23.453 \| good	14.434 \| good	0.515 \| good	10.499 \| good	0.268 \| good
2025-10-23T13:00:00.000Z	27 \| good	5.321 \| good	19.799 \| good	12.022 \| good	0.524 \| good	11.092 \| good	0.314 \| good
2025-10-23T14:00:00.000Z	33 \| good	5.783 \| good	23.077 \| good	16.492 \| good	0.528 \| good	9.109 \| good	0.338 \| good
2025-10-23T15:00:00.000Z	33 \| good	5.783 \| good	23.077 \| good	16.492 \| good	0.528 \| good	9.109 \| good	0.338 \| good
2025-10-23T02:00:00.000Z	44 \| good	7.601 \| good	33.125 \| good	19.128 \| good	1.978 \| good	9.193 \| good	0.181 \| good
2025-10-23T03:00:00.000Z	38 \| good	7.094 \| good	31.259 \| good	21.527 \| good	2.003 \| good	9.634 \| good	0.183 \| good
2025-10-23T04:00:00.000Z	38 \| good	7.028 \| good	31.159 \| good	24.02 \| good	1.962 \| good	8.694 \| good	0.176 \| good
2025-10-23T05:00:00.000Z	38 \| good	6.661 \| good	29.432 \| good	22.306 \| good	1.921 \| good	7.753 \| good	0.169 \| good
2025-10-23T06:00:00.000Z	33 \| good	6.142 \| good	27.342 \| good	21.125 \| good	1.881 \| good	6.813 \| good	0.162 \| good
2025-10-23T07:00:00.000Z	33 \| good	5.901 \| good	25.426 \| good	21.684 \| good	2.029 \| good	6.456 \| good	0.16 \| good
2025-10-23T08:00:00.000Z	33 \| good	6.107 \| good	27.337 \| good	20.574 \| good	2.177 \| good	6.099 \| good	0.158 \| good
2025-10-23T09:00:00.000Z	27 \| good	5.379 \| good	23.331 \| good	18.57 \| good	2.325 \| good	5.742 \| good	0.156 \| good
2025-10-23T10:00:00.000Z	27 \| good	5.144 \| good	22.41 \| good	17.561 \| good	2.501 \| good	6.48 \| good	0.162 \| good
2025-10-23T11:00:00.000Z	27 \| good	5.053 \| good	21.564 \| good	14.791 \| good	2.677 \| good	7.218 \| good	0.169 \| good
2025-10-23T12:00:00.000Z	27 \| good	5.344 \| good	23.331 \| good	16.957 \| good	2.853 \| good	7.956 \| good	0.175 \| good
2025-10-23T13:00:00.000Z	33 \| good	5.635 \| good	24.372 \| good	22.378 \| good	2.755 \| good	6.568 \| good	0.168 \| good
2025-10-23T14:00:00.000Z	27 \| good	4.926 \| good	21.356 \| good	26.28 \| good	2.656 \| good	5.18 \| good	0.16 \| good
2025-10-23T15:00:00.000Z	28 \| good	3.166 \| good	13.792 \| good	30.19 \| good	2.558 \| good	3.793 \| good	0.152 \| good
2025-10-23T16:00:00.000Z	29 \| good	3.179 \| good	13.625 \| good	31.322 \| good	2.215 \| good	3.375 \| good	0.147 \| good
2025-10-23T17:00:00.000Z	30 \| good	3.52 \| good	15.79 \| good	32.066 \| good	1.873 \| good	2.957 \| good	0.143 \| good
2025-10-23T18:00:00.000Z	29 \| good	3.699 \| good	16.046 \| good	30.982 \| good	1.531 \| good	2.539 \| good	0.138 \| good
2025-10-23T19:00:00.000Z	28 \| good	3.255 \| good	14.139 \| good	30.118 \| good	1.524 \| good	2.857 \| good	0.139 \| good
2025-10-23T20:00:00.000Z	29 \| good	3.228 \| good	14.022 \| good	30.688 \| good	1.517 \| good	3.175 \| good	0.141 \| good
2025-10-23T21:00:00.000Z	30 \| good	2.932 \| good	12.237 \| good	31.692 \| good	1.51 \| good	3.492 \| good	0.142 \| good
2025-10-23T22:00:00.000Z	30 \| good	1.527 \| good	6.201 \| good	32.038 \| good	1.605 \| good	5.668 \| good	0.157 \| good
2025-10-23T23:00:00.000Z	29 \| good	1.341 \| good	5.251 \| good	30.56 \| good	1.7 \| good	7.844 \| good	0.172 \| good
2025-10-24T00:00:00.000Z	24 \| good	2.244 \| good	9.093 \| good	26.226 \| good	1.795 \| good	10.02 \| good	0.187 \| good
2025-10-24T01:00:00.000Z	22 \| good	3.681 \| good	16.213 \| good	21.604 \| good	1.934 \| good	10.166 \| good	0.188 \| good
2025-10-24T02:00:00.000Z	27 \| good	5.455 \| good	23.414 \| good	18.046 \| good	2.073 \| good	10.313 \| good	0.19 \| good
2025-10-24T03:00:00.000Z	44 \| good	7.516 \| good	32.979 \| good	14.64 \| good	2.212 \| good	10.46 \| good	0.191 \| good
2025-10-24T04:00:00.000Z	49 \| good	8.574 \| good	37.637 \| good	13.659 \| good	2.372 \| good	9.692 \| good	0.188 \| good
2025-10-24T05:00:00.000Z	44 \| good	7.836 \| good	34.183 \| good	13.235 \| good	2.531 \| good	8.924 \| good	0.185 \| good
2025-10-24T06:00:00.000Z	38 \| good	6.912 \| good	30.846 \| good	13.217 \| good	2.691 \| good	8.156 \| good	0.181 \| good
2025-10-24T07:00:00.000Z	38 \| good	7.201 \| good	31.899 \| good	9.872 \| good	2.723 \| good	7.644 \| good	0.177 \| good
2025-10-24T08:00:00.000Z	44 \| good	7.971 \| good	34.998 \| good	6.046 \| good	2.756 \| good	7.131 \| good	0.173 \| good
2025-10-24T09:00:00.000Z	44 \| good	8.087 \| good	35.717 \| good	3.715 \| good	2.789 \| good	6.619 \| good	0.169 \| good
2025-10-24T10:00:00.000Z	49 \| good	8.519 \| good	37.332 \| good	2.768 \| good	2.865 \| good	7.495 \| good	0.177 \| good
2025-10-24T11:00:00.000Z	49 \| good	8.602 \| good	37.582 \| good	2.346 \| good	2.941 \| good	8.37 \| good	0.186 \| good
2025-10-24T12:00:00.000Z	49 \| good	8.983 \| good	39.375 \| good	4.054 \| good	3.017 \| good	9.246 \| good	0.195 \| good
2025-10-24T13:00:00.000Z	38 \| good	7.26 \| good	31.971 \| good	14.574 \| good	3.144 \| good	7.805 \| good	0.191 \| good
2025-10-24T14:00:00.000Z	27 \| good	5.13 \| good	22.007 \| good	21.96 \| good	3.271 \| good	6.364 \| good	0.187 \| good
2025-10-24T15:00:00.000Z	24 \| good	4.072 \| good	17.92 \| good	26.146 \| good	3.397 \| good	4.923 \| good	0.183 \| good
2025-10-24T16:00:00.000Z	26 \| good	3.42 \| good	14.935 \| good	28.147 \| good	2.991 \| good	4.348 \| good	0.176 \| good
2025-10-24T17:00:00.000Z	31 \| good	3.929 \| good	17.033 \| good	32.802 \| good	2.584 \| good	3.772 \| good	0.169 \| good
2025-10-24T18:00:00.000Z	31 \| good	4.225 \| good	18.735 \| good	33.753 \| good	2.177 \| good	3.197 \| good	0.162 \| good
2025-10-24T19:00:00.000Z	30 \| good	3.913 \| good	16.9 \| good	32.434 \| good	1.976 \| good	3.313 \| good	0.161 \| good
2025-10-24T20:00:00.000Z	31 \| good	2.847 \| good	11.935 \| good	34.208 \| good	1.774 \| good	3.43 \| good	0.159 \| good
2025-10-24T21:00:00.000Z	32 \| good	2.531 \| good	10.254 \| good	34.644 \| good	1.572 \| good	3.546 \| good	0.158 \| good
2025-10-24T22:00:00.000Z	29 \| good	1.936 \| good	7.947 \| good	30.774 \| good	1.554 \| good	6.082 \| good	0.175 \| good
2025-10-24T23:00:00.000Z	23 \| good	3.047 \| good	12.499 \| good	25.084 \| good	1.537 \| good	8.617 \| good	0.192 \| good
2025-10-25T00:00:00.000Z	33 \| good	6.173 \| good	6.184 \| good	17.268 \| good	1.52 \| good	10.992 \| good	0.208 \| good
2025-10-25T01:00:00.000Z	38 \| good	6.816 \| good	30.022 \| good	18.399 \| good	1.552 \| good	11.535 \| good	0.212 \| good

Pemberton township

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Pemberton Township, New Jersey air quality map: Real-time AQI near you

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How accurate is New Jersey, USA air quality data?

Air quality measurements for New Jersey, 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 Pemberton Township, New Jersey updated?

Air quality data for Pemberton Township, New Jersey is updated on an hourly basis.

When did Pemberton Township, New Jersey experience the worst air quality in the last 24 hours?

The worst air quality in Pemberton Township, New Jersey was recorded at 02:00:00 on 2025-10-22.

When did Pemberton Township, New Jersey have its best air quality in the last 24 hours?

The best air quality in Pemberton Township, New Jersey was recorded at 12:00:00 on 2025-10-23.

What is the real-time air quality index for Pemberton Township, New Jersey?

The real-time air quality index in Pemberton Township, New Jersey is 24, currently categorized as Good.

Which pollutant is found most often in Pemberton Township, New Jersey?

The most common pollutant in Pemberton Township, New Jersey is O3.

What can I do if the air quality in Pemberton Township, New Jersey is poor?

If the air quality in Pemberton Township, New Jersey is poor, limit outdoor activities and use a mask to safeguard your health.

What are the current PM_2.5 levels in Pemberton Township, New Jersey?

The measured PM_2.5 levels in Pemberton Township, New Jersey at present are 3.504 μg/m³.

What are the current PM₁₀ levels at Pemberton Township, New Jersey?

The current PM₁₀ levels in Pemberton Township, New Jersey are 17.817 μg/m³.

What are the current carbon monoxide (CO) levels at Pemberton Township, New Jersey?

The current carbon monoxide (CO) level in Pemberton Township, New Jersey is 0.245 ppm.

What are the current sulfur dioxide (SO₂) levels at Pemberton Township, New Jersey?

The current sulfur dioxide (SO₂) levels in Pemberton Township, New Jersey are 0.267 ppb.

What are the current ozone (O₃) levels at Pemberton Township, New Jersey?

The current ozone (O₃) levels at Pemberton Township, New Jersey is 26.283 ppm.

What are the current nitrogen dioxide (NO₂) levels at Pemberton Township, New Jersey?

The current nitrogen dioxide (NO₂) levels at Pemberton Township, New Jersey is 7.218 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-21T16:00:00.000Z	33 \| good	5.544 \| good	18.746 \| good	16.411 \| good	0.852 \| good	6.297 \| good	0.303 \| good
2025-10-21T17:00:00.000Z	22 \| good	4.132 \| good	13.131 \| good	23.854 \| good	0.444 \| good	7.939 \| good	0.237 \| good
2025-10-21T18:00:00.000Z	25 \| good	3.693 \| good	11.978 \| good	26.936 \| good	0.38 \| good	6.477 \| good	0.25 \| good
2025-10-21T19:00:00.000Z	30 \| good	5.321 \| good	25.108 \| good	31.827 \| good	0.375 \| good	5.26 \| good	0.23 \| good
2025-10-21T20:00:00.000Z	32 \| good	2.766 \| good	12.806 \| good	34.775 \| good	0.312 \| good	5.009 \| good	0.23 \| good
2025-10-21T21:00:00.000Z	35 \| good	3.341 \| good	12.637 \| good	38.107 \| good	0.295 \| good	5.313 \| good	0.267 \| good
2025-10-21T22:00:00.000Z	37 \| good	3.078 \| good	11.336 \| good	40.286 \| good	0.319 \| good	5.257 \| good	0.267 \| good
2025-10-21T23:00:00.000Z	34 \| good	2.529 \| good	9.264 \| good	36.797 \| good	0.313 \| good	3.086 \| good	0.287 \| good
2025-10-22T00:00:00.000Z	33 \| good	5.213 \| good	12.691 \| good	36.401 \| good	0.338 \| good	4.764 \| good	0.312 \| good
2025-10-22T01:00:00.000Z	35 \| good	4.107 \| good	12.456 \| good	37.954 \| good	0.355 \| good	6.33 \| good	0.312 \| good
2025-10-22T02:00:00.000Z	38 \| good	6.789 \| good	22.338 \| good	37.206 \| good	0.223 \| good	6.511 \| good	0.267 \| good
2025-10-22T03:00:00.000Z	38 \| good	6.216 \| good	27.848 \| good	40.936 \| good	1.155 \| good	3.988 \| good	0.151 \| good
2025-10-22T04:00:00.000Z	38 \| good	7.123 \| good	31.418 \| good	32.603 \| good	0.33 \| good	4.895 \| good	0.272 \| good
2025-10-22T05:00:00.000Z	38 \| good	7.282 \| good	28.136 \| good	32.584 \| good	0.343 \| good	6.992 \| good	0.227 \| good
2025-10-22T06:00:00.000Z	44 \| good	8.47 \| good	30.141 \| good	28.214 \| good	0.296 \| good	6.788 \| good	0.227 \| good
2025-10-22T07:00:00.000Z	44 \| good	7.858 \| good	33.153 \| good	24.542 \| good	0.296 \| good	7.733 \| good	0.227 \| good
2025-10-22T08:00:00.000Z	49 \| good	9.371 \| good	34.998 \| good	26.656 \| good	0.304 \| good	5.608 \| good	0.123 \| good
2025-10-22T09:00:00.000Z	44 \| good	7.83 \| good	34.13 \| good	24.789 \| good	0.296 \| good	5.574 \| good	0.227 \| good
2025-10-22T10:00:00.000Z	44 \| good	8.12 \| good	33.2 \| good	20.532 \| good	0.289 \| good	7.986 \| good	0.285 \| good
2025-10-22T11:00:00.000Z	38 \| good	7.151 \| good	25.475 \| good	19.58 \| good	0.166 \| good	9.383 \| good	0.285 \| good
2025-10-22T12:00:00.000Z	49 \| good	9.472 \| good	36.822 \| good	20.744 \| good	0.186 \| good	8.121 \| good	0.31 \| good
2025-10-22T13:00:00.000Z	54 \| moderate	10.574 \| good	51.461 \| good	20.119 \| good	0.187 \| good	10.186 \| good	0.335 \| good
2025-10-22T14:00:00.000Z	54 \| moderate	11.411 \| good	46.051 \| good	24.039 \| good	0.365 \| good	6.745 \| good	0.272 \| good
2025-10-22T15:00:00.000Z	27 \| good	5.166 \| good	22.776 \| good	25.157 \| good	0.403 \| good	6.863 \| good	0.272 \| good
2025-10-22T16:00:00.000Z	24 \| good	4.396 \| good	17.083 \| good	26.455 \| good	0.31 \| good	4.757 \| good	0.227 \| good
2025-10-22T17:00:00.000Z	38 \| good	7.189 \| good	14.728 \| good	28.339 \| good	0.466 \| good	3.629 \| good	0.207 \| good
2025-10-22T18:00:00.000Z	29 \| good	4.152 \| good	16.664 \| good	30.659 \| good	0.281 \| good	3.22 \| good	0.165 \| good
2025-10-22T19:00:00.000Z	29 \| good	3.846 \| good	11.214 \| good	30.56 \| good	0.245 \| good	2.762 \| good	0.165 \| good
2025-10-22T20:00:00.000Z	29 \| good	3.54 \| good	13.619 \| good	30.821 \| good	0.282 \| good	3.94 \| good	0.221 \| good
2025-10-22T21:00:00.000Z	31 \| good	3.868 \| good	12.588 \| good	33.322 \| good	0.226 \| good	4.009 \| good	0.196 \| good
2025-10-22T22:00:00.000Z	28 \| good	3.024 \| good	13.637 \| good	30.296 \| good	0.234 \| good	3.658 \| good	0.196 \| good
2025-10-22T23:00:00.000Z	27 \| good	3.555 \| good	15.479 \| good	28.719 \| good	0.226 \| good	4.532 \| good	0.221 \| good
2025-10-23T00:00:00.000Z	24 \| good	3.504 \| good	17.817 \| good	26.283 \| good	0.267 \| good	7.218 \| good	0.245 \| good
2025-10-23T01:00:00.000Z	22 \| good	3.924 \| good	17.866 \| good	23.031 \| good	0.776 \| good	7.858 \| good	0.255 \| good
2025-10-23T02:00:00.000Z	27 \| good	4.994 \| good	20.431 \| good	26.956 \| good	0.251 \| good	6.646 \| good	0.255 \| good
2025-10-23T03:00:00.000Z	27 \| good	5.304 \| good	23.942 \| good	21.775 \| good	0.238 \| good	11.23 \| good	0.182 \| good
2025-10-23T04:00:00.000Z	27 \| good	4.801 \| good	18.004 \| good	21.311 \| good	0.221 \| good	8.768 \| good	0.182 \| good
2025-10-23T05:00:00.000Z	22 \| good	3.976 \| good	18.187 \| good	20.751 \| good	0.192 \| good	6.975 \| good	0.196 \| good
2025-10-23T06:00:00.000Z	22 \| good	3.777 \| good	20.062 \| good	19.414 \| good	0.225 \| good	5.623 \| good	0.184 \| good
2025-10-23T07:00:00.000Z	22 \| good	4.215 \| good	19.846 \| good	21.024 \| good	0.462 \| good	5.957 \| good	0.184 \| good
2025-10-23T08:00:00.000Z	22 \| good	3.639 \| good	16.106 \| good	21.316 \| good	0.215 \| good	6.183 \| good	0.184 \| good
2025-10-23T09:00:00.000Z	22 \| good	4.102 \| good	16.506 \| good	19.095 \| good	0.62 \| good	6.765 \| good	0.184 \| good
2025-10-23T10:00:00.000Z	22 \| good	3.944 \| good	21.394 \| good	19.613 \| good	0.262 \| good	8.796 \| good	0.201 \| good
2025-10-23T11:00:00.000Z	17 \| good	3.097 \| good	14.047 \| good	17.785 \| good	0.49 \| good	8.24 \| good	0.251 \| good
2025-10-23T12:00:00.000Z	27 \| good	5.434 \| good	23.453 \| good	14.434 \| good	0.515 \| good	10.499 \| good	0.268 \| good
2025-10-23T13:00:00.000Z	27 \| good	5.321 \| good	19.799 \| good	12.022 \| good	0.524 \| good	11.092 \| good	0.314 \| good
2025-10-23T14:00:00.000Z	33 \| good	5.783 \| good	23.077 \| good	16.492 \| good	0.528 \| good	9.109 \| good	0.338 \| good
2025-10-23T15:00:00.000Z	33 \| good	5.783 \| good	23.077 \| good	16.492 \| good	0.528 \| good	9.109 \| good	0.338 \| good
2025-10-23T02:00:00.000Z	44 \| good	7.601 \| good	33.125 \| good	19.128 \| good	1.978 \| good	9.193 \| good	0.181 \| good
2025-10-23T03:00:00.000Z	38 \| good	7.094 \| good	31.259 \| good	21.527 \| good	2.003 \| good	9.634 \| good	0.183 \| good
2025-10-23T04:00:00.000Z	38 \| good	7.028 \| good	31.159 \| good	24.02 \| good	1.962 \| good	8.694 \| good	0.176 \| good
2025-10-23T05:00:00.000Z	38 \| good	6.661 \| good	29.432 \| good	22.306 \| good	1.921 \| good	7.753 \| good	0.169 \| good
2025-10-23T06:00:00.000Z	33 \| good	6.142 \| good	27.342 \| good	21.125 \| good	1.881 \| good	6.813 \| good	0.162 \| good
2025-10-23T07:00:00.000Z	33 \| good	5.901 \| good	25.426 \| good	21.684 \| good	2.029 \| good	6.456 \| good	0.16 \| good
2025-10-23T08:00:00.000Z	33 \| good	6.107 \| good	27.337 \| good	20.574 \| good	2.177 \| good	6.099 \| good	0.158 \| good
2025-10-23T09:00:00.000Z	27 \| good	5.379 \| good	23.331 \| good	18.57 \| good	2.325 \| good	5.742 \| good	0.156 \| good
2025-10-23T10:00:00.000Z	27 \| good	5.144 \| good	22.41 \| good	17.561 \| good	2.501 \| good	6.48 \| good	0.162 \| good
2025-10-23T11:00:00.000Z	27 \| good	5.053 \| good	21.564 \| good	14.791 \| good	2.677 \| good	7.218 \| good	0.169 \| good
2025-10-23T12:00:00.000Z	27 \| good	5.344 \| good	23.331 \| good	16.957 \| good	2.853 \| good	7.956 \| good	0.175 \| good
2025-10-23T13:00:00.000Z	33 \| good	5.635 \| good	24.372 \| good	22.378 \| good	2.755 \| good	6.568 \| good	0.168 \| good
2025-10-23T14:00:00.000Z	27 \| good	4.926 \| good	21.356 \| good	26.28 \| good	2.656 \| good	5.18 \| good	0.16 \| good
2025-10-23T15:00:00.000Z	28 \| good	3.166 \| good	13.792 \| good	30.19 \| good	2.558 \| good	3.793 \| good	0.152 \| good
2025-10-23T16:00:00.000Z	29 \| good	3.179 \| good	13.625 \| good	31.322 \| good	2.215 \| good	3.375 \| good	0.147 \| good
2025-10-23T17:00:00.000Z	30 \| good	3.52 \| good	15.79 \| good	32.066 \| good	1.873 \| good	2.957 \| good	0.143 \| good
2025-10-23T18:00:00.000Z	29 \| good	3.699 \| good	16.046 \| good	30.982 \| good	1.531 \| good	2.539 \| good	0.138 \| good
2025-10-23T19:00:00.000Z	28 \| good	3.255 \| good	14.139 \| good	30.118 \| good	1.524 \| good	2.857 \| good	0.139 \| good
2025-10-23T20:00:00.000Z	29 \| good	3.228 \| good	14.022 \| good	30.688 \| good	1.517 \| good	3.175 \| good	0.141 \| good
2025-10-23T21:00:00.000Z	30 \| good	2.932 \| good	12.237 \| good	31.692 \| good	1.51 \| good	3.492 \| good	0.142 \| good
2025-10-23T22:00:00.000Z	30 \| good	1.527 \| good	6.201 \| good	32.038 \| good	1.605 \| good	5.668 \| good	0.157 \| good
2025-10-23T23:00:00.000Z	29 \| good	1.341 \| good	5.251 \| good	30.56 \| good	1.7 \| good	7.844 \| good	0.172 \| good
2025-10-24T00:00:00.000Z	24 \| good	2.244 \| good	9.093 \| good	26.226 \| good	1.795 \| good	10.02 \| good	0.187 \| good
2025-10-24T01:00:00.000Z	22 \| good	3.681 \| good	16.213 \| good	21.604 \| good	1.934 \| good	10.166 \| good	0.188 \| good
2025-10-24T02:00:00.000Z	27 \| good	5.455 \| good	23.414 \| good	18.046 \| good	2.073 \| good	10.313 \| good	0.19 \| good
2025-10-24T03:00:00.000Z	44 \| good	7.516 \| good	32.979 \| good	14.64 \| good	2.212 \| good	10.46 \| good	0.191 \| good
2025-10-24T04:00:00.000Z	49 \| good	8.574 \| good	37.637 \| good	13.659 \| good	2.372 \| good	9.692 \| good	0.188 \| good
2025-10-24T05:00:00.000Z	44 \| good	7.836 \| good	34.183 \| good	13.235 \| good	2.531 \| good	8.924 \| good	0.185 \| good
2025-10-24T06:00:00.000Z	38 \| good	6.912 \| good	30.846 \| good	13.217 \| good	2.691 \| good	8.156 \| good	0.181 \| good
2025-10-24T07:00:00.000Z	38 \| good	7.201 \| good	31.899 \| good	9.872 \| good	2.723 \| good	7.644 \| good	0.177 \| good
2025-10-24T08:00:00.000Z	44 \| good	7.971 \| good	34.998 \| good	6.046 \| good	2.756 \| good	7.131 \| good	0.173 \| good
2025-10-24T09:00:00.000Z	44 \| good	8.087 \| good	35.717 \| good	3.715 \| good	2.789 \| good	6.619 \| good	0.169 \| good
2025-10-24T10:00:00.000Z	49 \| good	8.519 \| good	37.332 \| good	2.768 \| good	2.865 \| good	7.495 \| good	0.177 \| good
2025-10-24T11:00:00.000Z	49 \| good	8.602 \| good	37.582 \| good	2.346 \| good	2.941 \| good	8.37 \| good	0.186 \| good
2025-10-24T12:00:00.000Z	49 \| good	8.983 \| good	39.375 \| good	4.054 \| good	3.017 \| good	9.246 \| good	0.195 \| good
2025-10-24T13:00:00.000Z	38 \| good	7.26 \| good	31.971 \| good	14.574 \| good	3.144 \| good	7.805 \| good	0.191 \| good
2025-10-24T14:00:00.000Z	27 \| good	5.13 \| good	22.007 \| good	21.96 \| good	3.271 \| good	6.364 \| good	0.187 \| good
2025-10-24T15:00:00.000Z	24 \| good	4.072 \| good	17.92 \| good	26.146 \| good	3.397 \| good	4.923 \| good	0.183 \| good
2025-10-24T16:00:00.000Z	26 \| good	3.42 \| good	14.935 \| good	28.147 \| good	2.991 \| good	4.348 \| good	0.176 \| good
2025-10-24T17:00:00.000Z	31 \| good	3.929 \| good	17.033 \| good	32.802 \| good	2.584 \| good	3.772 \| good	0.169 \| good
2025-10-24T18:00:00.000Z	31 \| good	4.225 \| good	18.735 \| good	33.753 \| good	2.177 \| good	3.197 \| good	0.162 \| good
2025-10-24T19:00:00.000Z	30 \| good	3.913 \| good	16.9 \| good	32.434 \| good	1.976 \| good	3.313 \| good	0.161 \| good
2025-10-24T20:00:00.000Z	31 \| good	2.847 \| good	11.935 \| good	34.208 \| good	1.774 \| good	3.43 \| good	0.159 \| good
2025-10-24T21:00:00.000Z	32 \| good	2.531 \| good	10.254 \| good	34.644 \| good	1.572 \| good	3.546 \| good	0.158 \| good
2025-10-24T22:00:00.000Z	29 \| good	1.936 \| good	7.947 \| good	30.774 \| good	1.554 \| good	6.082 \| good	0.175 \| good
2025-10-24T23:00:00.000Z	23 \| good	3.047 \| good	12.499 \| good	25.084 \| good	1.537 \| good	8.617 \| good	0.192 \| good
2025-10-25T00:00:00.000Z	33 \| good	6.173 \| good	6.184 \| good	17.268 \| good	1.52 \| good	10.992 \| good	0.208 \| good
2025-10-25T01:00:00.000Z	38 \| good	6.816 \| good	30.022 \| good	18.399 \| good	1.552 \| good	11.535 \| good	0.212 \| good

Real-time air quality index in Pemberton Township, New Jersey today

Common air pollutants in Pemberton Township, New Jersey

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Pemberton Township, New Jersey air quality forecast and history

Empower business decisions with accurate air quality data

Pemberton Township, New Jersey air quality map: Real-time AQI near you

Air quality in nearby cities

Pemberton Township, New Jersey

Southampton, New Jersey

Mount Holly, New Jersey

Manchester, New Jersey

Upper, New Jersey

Lumberton, New Jersey

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Air quality levels in US

Frequently asked questions

How frequently is the air quality data for Pemberton Township, New Jersey updated?

When did Pemberton Township, New Jersey experience the worst air quality in the last 24 hours?

When did Pemberton Township, New Jersey have its best air quality in the last 24 hours?

What is the real-time air quality index for Pemberton Township, New Jersey?

Which pollutant is found most often in Pemberton Township, New Jersey?

What can I do if the air quality in Pemberton Township, New Jersey is poor?

What are the current PM2.5 levels in Pemberton Township, New Jersey?

What are the current PM10 levels at Pemberton Township, New Jersey?

What are the current carbon monoxide (CO) levels at Pemberton Township, New Jersey?

What are the current sulfur dioxide (SO2) levels at Pemberton Township, New Jersey?

What are the current ozone (O3) levels at Pemberton Township, New Jersey?

What are the current nitrogen dioxide (NO2) levels at Pemberton Township, New Jersey?

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 Pemberton Township, New Jersey?

What are the current PM₁₀ levels at Pemberton Township, New Jersey?

What are the current sulfur dioxide (SO₂) levels at Pemberton Township, New Jersey?

What are the current ozone (O₃) levels at Pemberton Township, New Jersey?

What are the current nitrogen dioxide (NO₂) levels at Pemberton Township, New Jersey?