What is the sulfur dioxide (SO2) level in Lindenwold, New Jersey at the moment?

Currently, Lindenwold, New Jersey has a sulfur dioxide (SO2) concentration of 0.328 ppb.

What is the ozone (O3) level in Lindenwold, New Jersey at the moment?

The current ozone (O3) level in Lindenwold, New Jersey at the moment is 20.112 ppm.

What is the nitrogen dioxide (NO2) level in Lindenwold, New Jersey at the moment?

Nitrogen dioxide (NO2) level in Lindenwold, New Jersey at the moment is 9.919 ppb.

Live air quality index in Lindenwold, New Jersey today

Q: What is the PM2.5 level in Lindenwold, New Jersey at the moment?

PM2.5 levels in Lindenwold, New Jersey are currently 6.463 μg/m3.

Q: What is the PM10 level in Lindenwold, New Jersey at the moment?

The PM10 concentration in Lindenwold, New Jersey is 30.559 μg/m3 at the moment.

Stay updated with real-time air quality in Lindenwold, 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

Lindenwold, New Jersey

Last updated: ... (Local time)

Major air pollutants in Lindenwold, New Jersey

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

6.46 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

30.56 μg/m³

155

255

425

605+

Ozone (O₃)

20.11 ppb

201

201+

Sulfur Dioxide (SO₂)

0.33 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

9.92 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.24 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Lindenwold, New Jersey

Get Live Pollen Counts

Lindenwold, New Jersey

Scroll To Air Quality Map

Track live Lindenwold, New Jersey air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-20T12:00:00.000Z	30 \| good	2.328 \| good	8.211 \| good	32.163 \| good	0.246 \| good	5.234 \| good	0.246 \| good
2025-10-20T13:00:00.000Z	26 \| good	1.682 \| good	3.779 \| good	27.854 \| good	0.335 \| good	6.559 \| good	0.246 \| good
2025-10-20T14:00:00.000Z	26 \| good	2.018 \| good	7.477 \| good	28.372 \| good	0.338 \| good	6.268 \| good	0.25 \| good
2025-10-20T15:00:00.000Z	24 \| good	1.943 \| good	7.077 \| good	26.116 \| good	0.288 \| good	5.718 \| good	0.246 \| good
2025-10-20T16:00:00.000Z	26 \| good	2.047 \| good	8.308 \| good	28.431 \| good	0.266 \| good	3.571 \| good	0.295 \| good
2025-10-20T17:00:00.000Z	25 \| good	2.318 \| good	9.761 \| good	27.174 \| good	0.307 \| good	3.673 \| good	0.267 \| good
2025-10-20T18:00:00.000Z	25 \| good	2.718 \| good	12.377 \| good	27.33 \| good	0.229 \| good	3.334 \| good	0.186 \| good
2025-10-20T19:00:00.000Z	25 \| good	2.739 \| good	11.459 \| good	26.685 \| good	0.266 \| good	3.005 \| good	0.181 \| good
2025-10-20T20:00:00.000Z	26 \| good	3.097 \| good	11.821 \| good	28.272 \| good	0.354 \| good	2.885 \| good	0.176 \| good
2025-10-20T21:00:00.000Z	28 \| good	2.676 \| good	10.667 \| good	30.109 \| good	0.231 \| good	3.091 \| good	0.181 \| good
2025-10-20T22:00:00.000Z	27 \| good	3.38 \| good	15.65 \| good	29.247 \| good	0.291 \| good	2.756 \| good	0.176 \| good
2025-10-20T23:00:00.000Z	25 \| good	2.598 \| good	13.912 \| good	27.408 \| good	0.219 \| good	4.094 \| good	0.2 \| good
2025-10-21T00:00:00.000Z	26 \| good	2.85 \| good	9.727 \| good	27.994 \| good	0.214 \| good	5.862 \| good	0.25 \| good
2025-10-21T01:00:00.000Z	22 \| good	3.563 \| good	16.927 \| good	22.334 \| good	0.248 \| good	6.917 \| good	0.25 \| good
2025-10-21T02:00:00.000Z	27 \| good	4.706 \| good	20.562 \| good	22.32 \| good	0.247 \| good	7.84 \| good	0.209 \| good
2025-10-21T03:00:00.000Z	21 \| good	3.34 \| good	14.475 \| good	23.343 \| good	1.556 \| good	8.035 \| good	0.152 \| good
2025-10-21T04:00:00.000Z	27 \| good	5.11 \| good	21.541 \| good	22.27 \| good	0.256 \| good	7.875 \| good	0.268 \| good
2025-10-21T05:00:00.000Z	22 \| good	3.529 \| good	16.283 \| good	21.16 \| good	0.269 \| good	7.916 \| good	0.268 \| good
2025-10-21T06:00:00.000Z	27 \| good	4.645 \| good	20.158 \| good	17.622 \| good	0.265 \| good	7.64 \| good	0.172 \| good
2025-10-21T07:00:00.000Z	22 \| good	3.831 \| good	19.14 \| good	18.347 \| good	0.229 \| good	9.127 \| good	0.241 \| good
2025-10-21T08:00:00.000Z	22 \| good	3.703 \| good	16.623 \| good	15.18 \| good	0.27 \| good	8.537 \| good	0.2 \| good
2025-10-21T09:00:00.000Z	16 \| good	3.253 \| good	15.512 \| good	14.244 \| good	0.27 \| good	7.885 \| good	0.2 \| good
2025-10-21T10:00:00.000Z	22 \| good	4.094 \| good	18.161 \| good	10.073 \| good	0.335 \| good	12.043 \| good	0.246 \| good
2025-10-21T11:00:00.000Z	22 \| good	4.12 \| good	19.885 \| good	10.473 \| good	0.364 \| good	15.392 \| good	0.246 \| good
2025-10-21T12:00:00.000Z	27 \| good	5.419 \| good	24.236 \| good	9.217 \| good	0.495 \| good	18.343 \| good	0.401 \| good
2025-10-21T13:00:00.000Z	27 \| good	5.493 \| good	22.739 \| good	8.144 \| good	0.626 \| good	20.514 \| good	0.459 \| good
2025-10-21T14:00:00.000Z	38 \| good	7.227 \| good	28.032 \| good	12.295 \| good	0.917 \| good	18.93 \| good	0.463 \| good
2025-10-21T15:00:00.000Z	38 \| good	7.442 \| good	24.375 \| good	13.709 \| good	1.059 \| good	13.395 \| good	0.317 \| good
2025-10-21T16:00:00.000Z	33 \| good	6.362 \| good	27.044 \| good	15.333 \| good	0.844 \| good	7.993 \| good	0.267 \| good
2025-10-21T17:00:00.000Z	27 \| good	5.288 \| good	19.313 \| good	20.282 \| good	0.45 \| good	8.52 \| good	0.226 \| good
2025-10-21T18:00:00.000Z	27 \| good	4.653 \| good	20.349 \| good	28.66 \| good	0.4 \| good	6.869 \| good	0.23 \| good
2025-10-21T19:00:00.000Z	31 \| good	3.922 \| good	16.5 \| good	34.004 \| good	0.39 \| good	5.692 \| good	0.208 \| good
2025-10-21T20:00:00.000Z	34 \| good	3.819 \| good	14.479 \| good	37.249 \| good	0.32 \| good	5.513 \| good	0.208 \| good
2025-10-21T21:00:00.000Z	37 \| good	3.653 \| good	16.16 \| good	39.556 \| good	0.303 \| good	5.743 \| good	0.235 \| good
2025-10-21T22:00:00.000Z	36 \| good	3.709 \| good	14.116 \| good	39.021 \| good	0.323 \| good	3.185 \| good	0.235 \| good
2025-10-21T23:00:00.000Z	36 \| good	4.812 \| good	19.866 \| good	39.161 \| good	0.313 \| good	5.122 \| good	0.257 \| good
2025-10-22T00:00:00.000Z	37 \| good	4.262 \| good	22.09 \| good	40.065 \| good	0.347 \| good	9.485 \| good	0.285 \| good
2025-10-22T01:00:00.000Z	35 \| good	3.233 \| good	20.144 \| good	37.78 \| good	0.36 \| good	9.765 \| good	0.285 \| good
2025-10-22T02:00:00.000Z	35 \| good	5.38 \| good	31.365 \| good	37.53 \| good	0.223 \| good	9.083 \| good	0.284 \| good
2025-10-22T03:00:00.000Z	38 \| good	7.257 \| good	31.873 \| good	39.498 \| good	1.353 \| good	4.762 \| good	0.157 \| good
2025-10-22T04:00:00.000Z	33 \| good	5.617 \| good	27.592 \| good	31.395 \| good	0.309 \| good	6.879 \| good	0.29 \| good
2025-10-22T05:00:00.000Z	33 \| good	5.902 \| good	25.33 \| good	26.929 \| good	0.345 \| good	6.212 \| good	0.227 \| good
2025-10-22T06:00:00.000Z	38 \| good	6.544 \| good	26.988 \| good	28.487 \| good	0.309 \| good	7.71 \| good	0.227 \| good
2025-10-22T07:00:00.000Z	33 \| good	6.204 \| good	25.219 \| good	23.956 \| good	0.308 \| good	9.527 \| good	0.227 \| good
2025-10-22T08:00:00.000Z	44 \| good	7.741 \| good	39.492 \| good	21.062 \| good	0.312 \| good	6.775 \| good	0.109 \| good
2025-10-22T09:00:00.000Z	38 \| good	7.223 \| good	40.166 \| good	20.371 \| good	0.306 \| good	6.728 \| good	0.227 \| good
2025-10-22T10:00:00.000Z	33 \| good	6.463 \| good	30.559 \| good	20.112 \| good	0.328 \| good	9.919 \| good	0.245 \| good
2025-10-22T11:00:00.000Z	33 \| good	6.463 \| good	30.559 \| good	20.112 \| good	0.328 \| good	9.919 \| good	0.245 \| good
2025-10-22T12:00:00.000Z	33 \| good	5.992 \| good	25.939 \| good	22.001 \| good	2.931 \| good	6.158 \| good	0.159 \| good
2025-10-22T13:00:00.000Z	27 \| good	4.669 \| good	20.179 \| good	27.299 \| good	2.682 \| good	4.899 \| good	0.151 \| good
2025-10-22T14:00:00.000Z	31 \| good	3.672 \| good	15.978 \| good	32.721 \| good	2.433 \| good	3.64 \| good	0.144 \| good
2025-10-22T15:00:00.000Z	34 \| good	3.949 \| good	17.235 \| good	37.005 \| good	2.183 \| good	2.381 \| good	0.136 \| good
2025-10-22T16:00:00.000Z	36 \| good	3.553 \| good	15.838 \| good	38.793 \| good	1.893 \| good	2.123 \| good	0.133 \| good
2025-10-22T17:00:00.000Z	37 \| good	4.122 \| good	18.133 \| good	39.779 \| good	1.603 \| good	1.865 \| good	0.13 \| good
2025-10-22T18:00:00.000Z	36 \| good	4.171 \| good	18.633 \| good	39.041 \| good	1.313 \| good	1.607 \| good	0.127 \| good
2025-10-22T19:00:00.000Z	35 \| good	4.099 \| good	17.978 \| good	37.882 \| good	1.435 \| good	1.998 \| good	0.129 \| good
2025-10-22T20:00:00.000Z	32 \| good	3.659 \| good	16.044 \| good	35.173 \| good	1.557 \| good	2.39 \| good	0.131 \| good
2025-10-22T21:00:00.000Z	31 \| good	3.731 \| good	16.156 \| good	32.972 \| good	1.679 \| good	2.781 \| good	0.132 \| good
2025-10-22T22:00:00.000Z	29 \| good	3.691 \| good	16.179 \| good	30.801 \| good	1.776 \| good	4.925 \| good	0.146 \| good
2025-10-22T23:00:00.000Z	24 \| good	3.672 \| good	16.078 \| good	26.052 \| good	1.873 \| good	7.068 \| good	0.16 \| good
2025-10-23T00:00:00.000Z	22 \| good	4.476 \| good	19.264 \| good	24.392 \| good	1.97 \| good	9.212 \| good	0.175 \| good
2025-10-23T01:00:00.000Z	27 \| good	5.454 \| good	23.308 \| good	23.345 \| good	1.989 \| good	9.745 \| good	0.178 \| good
2025-10-23T02:00:00.000Z	33 \| good	5.842 \| good	25.415 \| good	24.519 \| good	2.008 \| good	10.277 \| good	0.182 \| good
2025-10-23T03:00:00.000Z	33 \| good	6.333 \| good	28.044 \| good	22.712 \| good	2.027 \| good	10.81 \| good	0.185 \| good
2025-10-23T04:00:00.000Z	33 \| good	6.406 \| good	28.797 \| good	22.173 \| good	2.081 \| good	9.647 \| good	0.177 \| good
2025-10-23T05:00:00.000Z	33 \| good	6.066 \| good	27.024 \| good	23.186 \| good	2.135 \| good	8.484 \| good	0.169 \| good
2025-10-23T06:00:00.000Z	33 \| good	5.9 \| good	25.388 \| good	24.263 \| good	2.189 \| good	7.322 \| good	0.161 \| good
2025-10-23T07:00:00.000Z	33 \| good	5.958 \| good	26.772 \| good	23.895 \| good	2.385 \| good	6.572 \| good	0.154 \| good
2025-10-23T08:00:00.000Z	33 \| good	5.913 \| good	25.454 \| good	22.968 \| good	2.58 \| good	5.823 \| good	0.147 \| good
2025-10-23T09:00:00.000Z	33 \| good	5.756 \| good	25.268 \| good	21.854 \| good	2.776 \| good	5.073 \| good	0.14 \| good
2025-10-23T10:00:00.000Z	33 \| good	5.7 \| good	24.419 \| good	20.903 \| good	2.83 \| good	5.591 \| good	0.144 \| good
2025-10-23T11:00:00.000Z	33 \| good	5.861 \| good	25.503 \| good	17.183 \| good	2.884 \| good	6.108 \| good	0.149 \| good
2025-10-23T12:00:00.000Z	38 \| good	6.683 \| good	29.894 \| good	18.078 \| good	2.938 \| good	6.625 \| good	0.153 \| good
2025-10-23T13:00:00.000Z	27 \| good	5.201 \| good	22.648 \| good	24.273 \| good	2.661 \| good	5.398 \| good	0.147 \| good
2025-10-23T14:00:00.000Z	29 \| good	3.231 \| good	14.03 \| good	31.325 \| good	2.383 \| good	4.17 \| good	0.142 \| good
2025-10-23T15:00:00.000Z	32 \| good	4.306 \| good	18.987 \| good	34.782 \| good	2.105 \| good	2.943 \| good	0.136 \| good
2025-10-23T16:00:00.000Z	35 \| good	3.891 \| good	16.956 \| good	38.222 \| good	1.891 \| good	2.682 \| good	0.134 \| good
2025-10-23T17:00:00.000Z	37 \| good	3.82 \| good	16.97 \| good	39.51 \| good	1.677 \| good	2.42 \| good	0.132 \| good
2025-10-23T18:00:00.000Z	34 \| good	4.17 \| good	18.633 \| good	37.43 \| good	1.462 \| good	2.159 \| good	0.13 \| good
2025-10-23T19:00:00.000Z	31 \| good	3.388 \| good	14.816 \| good	34.299 \| good	1.411 \| good	2.399 \| good	0.132 \| good
2025-10-23T20:00:00.000Z	29 \| good	2.164 \| good	8.873 \| good	31.282 \| good	1.359 \| good	2.639 \| good	0.133 \| good
2025-10-23T21:00:00.000Z	30 \| good	2.85 \| good	11.951 \| good	32.195 \| good	1.308 \| good	2.88 \| good	0.135 \| good
2025-10-23T22:00:00.000Z	28 \| good	2.835 \| good	11.9 \| good	29.686 \| good	1.394 \| good	5.218 \| good	0.151 \| good
2025-10-23T23:00:00.000Z	21 \| good	2.75 \| good	11.114 \| good	23.29 \| good	1.481 \| good	7.557 \| good	0.168 \| good
2025-10-24T00:00:00.000Z	22 \| good	3.568 \| good	15.798 \| good	19.696 \| good	1.567 \| good	9.896 \| good	0.185 \| good
2025-10-24T01:00:00.000Z	22 \| good	4.137 \| good	18.084 \| good	17.078 \| good	1.66 \| good	10.164 \| good	0.187 \| good
2025-10-24T02:00:00.000Z	27 \| good	4.962 \| good	21.222 \| good	16.53 \| good	1.753 \| good	10.433 \| good	0.19 \| good
2025-10-24T03:00:00.000Z	27 \| good	5.201 \| good	22.674 \| good	18.879 \| good	1.846 \| good	10.701 \| good	0.192 \| good
2025-10-24T04:00:00.000Z	33 \| good	6.144 \| good	26.85 \| good	18.378 \| good	2.039 \| good	9.884 \| good	0.188 \| good
2025-10-24T05:00:00.000Z	44 \| good	7.677 \| good	33.767 \| good	16.244 \| good	2.232 \| good	9.067 \| good	0.184 \| good
2025-10-24T06:00:00.000Z	27 \| good	5.063 \| good	5.064 \| good	14.497 \| good	2.435 \| good	8.179 \| good	0.18 \| good
2025-10-24T07:00:00.000Z	49 \| good	9.34 \| good	41.627 \| good	10.816 \| good	2.501 \| good	7.789 \| good	0.176 \| good
2025-10-24T08:00:00.000Z	49 \| good	9.477 \| good	42.369 \| good	8.187 \| good	2.578 \| good	7.329 \| good	0.172 \| good
2025-10-24T09:00:00.000Z	44 \| good	7.763 \| good	34.126 \| good	8.656 \| good	2.655 \| good	6.868 \| good	0.169 \| good
2025-10-24T10:00:00.000Z	33 \| good	6.029 \| good	26.209 \| good	9.553 \| good	2.719 \| good	7.753 \| good	0.179 \| good
2025-10-24T11:00:00.000Z	27 \| good	5.498 \| good	23.867 \| good	9.616 \| good	2.783 \| good	8.638 \| good	0.189 \| good

Lindenwold

Get reliable air quality data to drive your business

Lindenwold, New Jersey air quality map: Stay updated on AQI near you

0.23ppm

How accurate is New Jersey, USA air quality data?

Air quality and pollutant data for New Jersey, USA are sourced from ground-based monitors and satellites, adhering to US EPA standards. Machine learning and advanced algorithms enhance the data by incorporating local variables like traffic and population density, ensuring high accuracy and dependability.

Source: Ambee Data Sources

Air quality levels in US

Check live rankings of places in the USA affected by air pollution.

View Polluted Cities

Check live rankings of places in the USA with the cleanest air.

View Clean Cities

Frequently asked questions

How often is air quality information updated for Lindenwold, New Jersey?

The air quality information for Lindenwold, New Jersey is updated every hour for accuracy.

What time in the last 24 hours was the air quality in Lindenwold, New Jersey at its worst?

In the past 24 hours, the air quality in Lindenwold, New Jersey was at its worst at 08:00:00 on 2025-10-22.

When did Lindenwold, New Jersey experience the best air quality in the last 24 hours?

In the last 24 hours, the best air quality in Lindenwold, New Jersey was observed at 06:00:00 on 2025-10-21.

What is the AQI in Lindenwold, New Jersey right now?

As of now, the AQI in Lindenwold, New Jersey is 33, indicating Good conditions.

What is the most common type of pollution in Lindenwold, New Jersey?

Lindenwold, New Jersey air has the highest levels of PM2.5.

What should I do in case of poor air quality in Lindenwold, New Jersey?

Poor air quality in Lindenwold, New Jersey means it's advisable to stay indoors and wear a mask for your protection.

What is the PM_2.5 level in Lindenwold, New Jersey at the moment?

PM_2.5 levels in Lindenwold, New Jersey are currently 6.463 μg/m³.

What is the PM₁₀ level in Lindenwold, New Jersey at the moment?

The PM₁₀ concentration in Lindenwold, New Jersey is 30.559 μg/m³ at the moment.

What is the carbon monoxide (CO) level in Lindenwold, New Jersey at the moment?

The current carbon monoxide (CO) concentration in Lindenwold, New Jersey is 0.245 ppm.

What is the sulfur dioxide (SO₂) level in Lindenwold, New Jersey at the moment?

Currently, Lindenwold, New Jersey has a sulfur dioxide (SO₂) concentration of 0.328 ppb.

What is the ozone (O₃) level in Lindenwold, New Jersey at the moment?

The current ozone (O₃) level in Lindenwold, New Jersey at the moment is 20.112 ppm.

What is the nitrogen dioxide (NO₂) level in Lindenwold, New Jersey at the moment?

Nitrogen dioxide (NO₂) level in Lindenwold, New Jersey at the moment is 9.919 ppb.

Certified

APIs

Refund Policy

Historical Climate Data

Terms & Conditions

Refund Policy

Terms & Conditions

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-20T12:00:00.000Z	30 \| good	2.328 \| good	8.211 \| good	32.163 \| good	0.246 \| good	5.234 \| good	0.246 \| good
2025-10-20T13:00:00.000Z	26 \| good	1.682 \| good	3.779 \| good	27.854 \| good	0.335 \| good	6.559 \| good	0.246 \| good
2025-10-20T14:00:00.000Z	26 \| good	2.018 \| good	7.477 \| good	28.372 \| good	0.338 \| good	6.268 \| good	0.25 \| good
2025-10-20T15:00:00.000Z	24 \| good	1.943 \| good	7.077 \| good	26.116 \| good	0.288 \| good	5.718 \| good	0.246 \| good
2025-10-20T16:00:00.000Z	26 \| good	2.047 \| good	8.308 \| good	28.431 \| good	0.266 \| good	3.571 \| good	0.295 \| good
2025-10-20T17:00:00.000Z	25 \| good	2.318 \| good	9.761 \| good	27.174 \| good	0.307 \| good	3.673 \| good	0.267 \| good
2025-10-20T18:00:00.000Z	25 \| good	2.718 \| good	12.377 \| good	27.33 \| good	0.229 \| good	3.334 \| good	0.186 \| good
2025-10-20T19:00:00.000Z	25 \| good	2.739 \| good	11.459 \| good	26.685 \| good	0.266 \| good	3.005 \| good	0.181 \| good
2025-10-20T20:00:00.000Z	26 \| good	3.097 \| good	11.821 \| good	28.272 \| good	0.354 \| good	2.885 \| good	0.176 \| good
2025-10-20T21:00:00.000Z	28 \| good	2.676 \| good	10.667 \| good	30.109 \| good	0.231 \| good	3.091 \| good	0.181 \| good
2025-10-20T22:00:00.000Z	27 \| good	3.38 \| good	15.65 \| good	29.247 \| good	0.291 \| good	2.756 \| good	0.176 \| good
2025-10-20T23:00:00.000Z	25 \| good	2.598 \| good	13.912 \| good	27.408 \| good	0.219 \| good	4.094 \| good	0.2 \| good
2025-10-21T00:00:00.000Z	26 \| good	2.85 \| good	9.727 \| good	27.994 \| good	0.214 \| good	5.862 \| good	0.25 \| good
2025-10-21T01:00:00.000Z	22 \| good	3.563 \| good	16.927 \| good	22.334 \| good	0.248 \| good	6.917 \| good	0.25 \| good
2025-10-21T02:00:00.000Z	27 \| good	4.706 \| good	20.562 \| good	22.32 \| good	0.247 \| good	7.84 \| good	0.209 \| good
2025-10-21T03:00:00.000Z	21 \| good	3.34 \| good	14.475 \| good	23.343 \| good	1.556 \| good	8.035 \| good	0.152 \| good
2025-10-21T04:00:00.000Z	27 \| good	5.11 \| good	21.541 \| good	22.27 \| good	0.256 \| good	7.875 \| good	0.268 \| good
2025-10-21T05:00:00.000Z	22 \| good	3.529 \| good	16.283 \| good	21.16 \| good	0.269 \| good	7.916 \| good	0.268 \| good
2025-10-21T06:00:00.000Z	27 \| good	4.645 \| good	20.158 \| good	17.622 \| good	0.265 \| good	7.64 \| good	0.172 \| good
2025-10-21T07:00:00.000Z	22 \| good	3.831 \| good	19.14 \| good	18.347 \| good	0.229 \| good	9.127 \| good	0.241 \| good
2025-10-21T08:00:00.000Z	22 \| good	3.703 \| good	16.623 \| good	15.18 \| good	0.27 \| good	8.537 \| good	0.2 \| good
2025-10-21T09:00:00.000Z	16 \| good	3.253 \| good	15.512 \| good	14.244 \| good	0.27 \| good	7.885 \| good	0.2 \| good
2025-10-21T10:00:00.000Z	22 \| good	4.094 \| good	18.161 \| good	10.073 \| good	0.335 \| good	12.043 \| good	0.246 \| good
2025-10-21T11:00:00.000Z	22 \| good	4.12 \| good	19.885 \| good	10.473 \| good	0.364 \| good	15.392 \| good	0.246 \| good
2025-10-21T12:00:00.000Z	27 \| good	5.419 \| good	24.236 \| good	9.217 \| good	0.495 \| good	18.343 \| good	0.401 \| good
2025-10-21T13:00:00.000Z	27 \| good	5.493 \| good	22.739 \| good	8.144 \| good	0.626 \| good	20.514 \| good	0.459 \| good
2025-10-21T14:00:00.000Z	38 \| good	7.227 \| good	28.032 \| good	12.295 \| good	0.917 \| good	18.93 \| good	0.463 \| good
2025-10-21T15:00:00.000Z	38 \| good	7.442 \| good	24.375 \| good	13.709 \| good	1.059 \| good	13.395 \| good	0.317 \| good
2025-10-21T16:00:00.000Z	33 \| good	6.362 \| good	27.044 \| good	15.333 \| good	0.844 \| good	7.993 \| good	0.267 \| good
2025-10-21T17:00:00.000Z	27 \| good	5.288 \| good	19.313 \| good	20.282 \| good	0.45 \| good	8.52 \| good	0.226 \| good
2025-10-21T18:00:00.000Z	27 \| good	4.653 \| good	20.349 \| good	28.66 \| good	0.4 \| good	6.869 \| good	0.23 \| good
2025-10-21T19:00:00.000Z	31 \| good	3.922 \| good	16.5 \| good	34.004 \| good	0.39 \| good	5.692 \| good	0.208 \| good
2025-10-21T20:00:00.000Z	34 \| good	3.819 \| good	14.479 \| good	37.249 \| good	0.32 \| good	5.513 \| good	0.208 \| good
2025-10-21T21:00:00.000Z	37 \| good	3.653 \| good	16.16 \| good	39.556 \| good	0.303 \| good	5.743 \| good	0.235 \| good
2025-10-21T22:00:00.000Z	36 \| good	3.709 \| good	14.116 \| good	39.021 \| good	0.323 \| good	3.185 \| good	0.235 \| good
2025-10-21T23:00:00.000Z	36 \| good	4.812 \| good	19.866 \| good	39.161 \| good	0.313 \| good	5.122 \| good	0.257 \| good
2025-10-22T00:00:00.000Z	37 \| good	4.262 \| good	22.09 \| good	40.065 \| good	0.347 \| good	9.485 \| good	0.285 \| good
2025-10-22T01:00:00.000Z	35 \| good	3.233 \| good	20.144 \| good	37.78 \| good	0.36 \| good	9.765 \| good	0.285 \| good
2025-10-22T02:00:00.000Z	35 \| good	5.38 \| good	31.365 \| good	37.53 \| good	0.223 \| good	9.083 \| good	0.284 \| good
2025-10-22T03:00:00.000Z	38 \| good	7.257 \| good	31.873 \| good	39.498 \| good	1.353 \| good	4.762 \| good	0.157 \| good
2025-10-22T04:00:00.000Z	33 \| good	5.617 \| good	27.592 \| good	31.395 \| good	0.309 \| good	6.879 \| good	0.29 \| good
2025-10-22T05:00:00.000Z	33 \| good	5.902 \| good	25.33 \| good	26.929 \| good	0.345 \| good	6.212 \| good	0.227 \| good
2025-10-22T06:00:00.000Z	38 \| good	6.544 \| good	26.988 \| good	28.487 \| good	0.309 \| good	7.71 \| good	0.227 \| good
2025-10-22T07:00:00.000Z	33 \| good	6.204 \| good	25.219 \| good	23.956 \| good	0.308 \| good	9.527 \| good	0.227 \| good
2025-10-22T08:00:00.000Z	44 \| good	7.741 \| good	39.492 \| good	21.062 \| good	0.312 \| good	6.775 \| good	0.109 \| good
2025-10-22T09:00:00.000Z	38 \| good	7.223 \| good	40.166 \| good	20.371 \| good	0.306 \| good	6.728 \| good	0.227 \| good
2025-10-22T10:00:00.000Z	33 \| good	6.463 \| good	30.559 \| good	20.112 \| good	0.328 \| good	9.919 \| good	0.245 \| good
2025-10-22T11:00:00.000Z	33 \| good	6.463 \| good	30.559 \| good	20.112 \| good	0.328 \| good	9.919 \| good	0.245 \| good
2025-10-22T12:00:00.000Z	33 \| good	5.992 \| good	25.939 \| good	22.001 \| good	2.931 \| good	6.158 \| good	0.159 \| good
2025-10-22T13:00:00.000Z	27 \| good	4.669 \| good	20.179 \| good	27.299 \| good	2.682 \| good	4.899 \| good	0.151 \| good
2025-10-22T14:00:00.000Z	31 \| good	3.672 \| good	15.978 \| good	32.721 \| good	2.433 \| good	3.64 \| good	0.144 \| good
2025-10-22T15:00:00.000Z	34 \| good	3.949 \| good	17.235 \| good	37.005 \| good	2.183 \| good	2.381 \| good	0.136 \| good
2025-10-22T16:00:00.000Z	36 \| good	3.553 \| good	15.838 \| good	38.793 \| good	1.893 \| good	2.123 \| good	0.133 \| good
2025-10-22T17:00:00.000Z	37 \| good	4.122 \| good	18.133 \| good	39.779 \| good	1.603 \| good	1.865 \| good	0.13 \| good
2025-10-22T18:00:00.000Z	36 \| good	4.171 \| good	18.633 \| good	39.041 \| good	1.313 \| good	1.607 \| good	0.127 \| good
2025-10-22T19:00:00.000Z	35 \| good	4.099 \| good	17.978 \| good	37.882 \| good	1.435 \| good	1.998 \| good	0.129 \| good
2025-10-22T20:00:00.000Z	32 \| good	3.659 \| good	16.044 \| good	35.173 \| good	1.557 \| good	2.39 \| good	0.131 \| good
2025-10-22T21:00:00.000Z	31 \| good	3.731 \| good	16.156 \| good	32.972 \| good	1.679 \| good	2.781 \| good	0.132 \| good
2025-10-22T22:00:00.000Z	29 \| good	3.691 \| good	16.179 \| good	30.801 \| good	1.776 \| good	4.925 \| good	0.146 \| good
2025-10-22T23:00:00.000Z	24 \| good	3.672 \| good	16.078 \| good	26.052 \| good	1.873 \| good	7.068 \| good	0.16 \| good
2025-10-23T00:00:00.000Z	22 \| good	4.476 \| good	19.264 \| good	24.392 \| good	1.97 \| good	9.212 \| good	0.175 \| good
2025-10-23T01:00:00.000Z	27 \| good	5.454 \| good	23.308 \| good	23.345 \| good	1.989 \| good	9.745 \| good	0.178 \| good
2025-10-23T02:00:00.000Z	33 \| good	5.842 \| good	25.415 \| good	24.519 \| good	2.008 \| good	10.277 \| good	0.182 \| good
2025-10-23T03:00:00.000Z	33 \| good	6.333 \| good	28.044 \| good	22.712 \| good	2.027 \| good	10.81 \| good	0.185 \| good
2025-10-23T04:00:00.000Z	33 \| good	6.406 \| good	28.797 \| good	22.173 \| good	2.081 \| good	9.647 \| good	0.177 \| good
2025-10-23T05:00:00.000Z	33 \| good	6.066 \| good	27.024 \| good	23.186 \| good	2.135 \| good	8.484 \| good	0.169 \| good
2025-10-23T06:00:00.000Z	33 \| good	5.9 \| good	25.388 \| good	24.263 \| good	2.189 \| good	7.322 \| good	0.161 \| good
2025-10-23T07:00:00.000Z	33 \| good	5.958 \| good	26.772 \| good	23.895 \| good	2.385 \| good	6.572 \| good	0.154 \| good
2025-10-23T08:00:00.000Z	33 \| good	5.913 \| good	25.454 \| good	22.968 \| good	2.58 \| good	5.823 \| good	0.147 \| good
2025-10-23T09:00:00.000Z	33 \| good	5.756 \| good	25.268 \| good	21.854 \| good	2.776 \| good	5.073 \| good	0.14 \| good
2025-10-23T10:00:00.000Z	33 \| good	5.7 \| good	24.419 \| good	20.903 \| good	2.83 \| good	5.591 \| good	0.144 \| good
2025-10-23T11:00:00.000Z	33 \| good	5.861 \| good	25.503 \| good	17.183 \| good	2.884 \| good	6.108 \| good	0.149 \| good
2025-10-23T12:00:00.000Z	38 \| good	6.683 \| good	29.894 \| good	18.078 \| good	2.938 \| good	6.625 \| good	0.153 \| good
2025-10-23T13:00:00.000Z	27 \| good	5.201 \| good	22.648 \| good	24.273 \| good	2.661 \| good	5.398 \| good	0.147 \| good
2025-10-23T14:00:00.000Z	29 \| good	3.231 \| good	14.03 \| good	31.325 \| good	2.383 \| good	4.17 \| good	0.142 \| good
2025-10-23T15:00:00.000Z	32 \| good	4.306 \| good	18.987 \| good	34.782 \| good	2.105 \| good	2.943 \| good	0.136 \| good
2025-10-23T16:00:00.000Z	35 \| good	3.891 \| good	16.956 \| good	38.222 \| good	1.891 \| good	2.682 \| good	0.134 \| good
2025-10-23T17:00:00.000Z	37 \| good	3.82 \| good	16.97 \| good	39.51 \| good	1.677 \| good	2.42 \| good	0.132 \| good
2025-10-23T18:00:00.000Z	34 \| good	4.17 \| good	18.633 \| good	37.43 \| good	1.462 \| good	2.159 \| good	0.13 \| good
2025-10-23T19:00:00.000Z	31 \| good	3.388 \| good	14.816 \| good	34.299 \| good	1.411 \| good	2.399 \| good	0.132 \| good
2025-10-23T20:00:00.000Z	29 \| good	2.164 \| good	8.873 \| good	31.282 \| good	1.359 \| good	2.639 \| good	0.133 \| good
2025-10-23T21:00:00.000Z	30 \| good	2.85 \| good	11.951 \| good	32.195 \| good	1.308 \| good	2.88 \| good	0.135 \| good
2025-10-23T22:00:00.000Z	28 \| good	2.835 \| good	11.9 \| good	29.686 \| good	1.394 \| good	5.218 \| good	0.151 \| good
2025-10-23T23:00:00.000Z	21 \| good	2.75 \| good	11.114 \| good	23.29 \| good	1.481 \| good	7.557 \| good	0.168 \| good
2025-10-24T00:00:00.000Z	22 \| good	3.568 \| good	15.798 \| good	19.696 \| good	1.567 \| good	9.896 \| good	0.185 \| good
2025-10-24T01:00:00.000Z	22 \| good	4.137 \| good	18.084 \| good	17.078 \| good	1.66 \| good	10.164 \| good	0.187 \| good
2025-10-24T02:00:00.000Z	27 \| good	4.962 \| good	21.222 \| good	16.53 \| good	1.753 \| good	10.433 \| good	0.19 \| good
2025-10-24T03:00:00.000Z	27 \| good	5.201 \| good	22.674 \| good	18.879 \| good	1.846 \| good	10.701 \| good	0.192 \| good
2025-10-24T04:00:00.000Z	33 \| good	6.144 \| good	26.85 \| good	18.378 \| good	2.039 \| good	9.884 \| good	0.188 \| good
2025-10-24T05:00:00.000Z	44 \| good	7.677 \| good	33.767 \| good	16.244 \| good	2.232 \| good	9.067 \| good	0.184 \| good
2025-10-24T06:00:00.000Z	27 \| good	5.063 \| good	5.064 \| good	14.497 \| good	2.435 \| good	8.179 \| good	0.18 \| good
2025-10-24T07:00:00.000Z	49 \| good	9.34 \| good	41.627 \| good	10.816 \| good	2.501 \| good	7.789 \| good	0.176 \| good
2025-10-24T08:00:00.000Z	49 \| good	9.477 \| good	42.369 \| good	8.187 \| good	2.578 \| good	7.329 \| good	0.172 \| good
2025-10-24T09:00:00.000Z	44 \| good	7.763 \| good	34.126 \| good	8.656 \| good	2.655 \| good	6.868 \| good	0.169 \| good
2025-10-24T10:00:00.000Z	33 \| good	6.029 \| good	26.209 \| good	9.553 \| good	2.719 \| good	7.753 \| good	0.179 \| good
2025-10-24T11:00:00.000Z	27 \| good	5.498 \| good	23.867 \| good	9.616 \| good	2.783 \| good	8.638 \| good	0.189 \| good

Live air quality index in Lindenwold, New Jersey today

Major air pollutants in Lindenwold, New Jersey

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Lindenwold, New Jersey air quality forecast and history

Get reliable air quality data to drive your business

Lindenwold, New Jersey air quality map: Stay updated on AQI near you

Air quality in nearby cities

Pine Hill, New Jersey

Gloucester, New Jersey

Voorhees, New Jersey

Washington Township, New Jersey

Evesham, New Jersey

Haddonfield, New Jersey

How accurate is New Jersey, USA air quality data?

Air quality levels in US

Frequently asked questions

How often is air quality information updated for Lindenwold, New Jersey?

What time in the last 24 hours was the air quality in Lindenwold, New Jersey at its worst?

When did Lindenwold, New Jersey experience the best air quality in the last 24 hours?

What is the AQI in Lindenwold, New Jersey right now?

What is the most common type of pollution in Lindenwold, New Jersey?

What should I do in case of poor air quality in Lindenwold, New Jersey?

What is the PM2.5 level in Lindenwold, New Jersey at the moment?

What is the PM10 level in Lindenwold, New Jersey at the moment?

What is the carbon monoxide (CO) level in Lindenwold, New Jersey at the moment?

What is the sulfur dioxide (SO2) level in Lindenwold, New Jersey at the moment?

What is the ozone (O3) level in Lindenwold, New Jersey at the moment?

What is the nitrogen dioxide (NO2) level in Lindenwold, New Jersey at the moment?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What is the PM_2.5 level in Lindenwold, New Jersey at the moment?

What is the PM₁₀ level in Lindenwold, New Jersey at the moment?

What is the sulfur dioxide (SO₂) level in Lindenwold, New Jersey at the moment?

What is the ozone (O₃) level in Lindenwold, New Jersey at the moment?

What is the nitrogen dioxide (NO₂) level in Lindenwold, New Jersey at the moment?