What is the current level of PM10 in Kinnelon, New Jersey?

Kinnelon, New Jersey currently has a PM10 concentration of 27.862 μg/m3.

What is the current level of sulfur dioxide (SO2) in Kinnelon, New Jersey?

The current sulfur dioxide (SO2) concentration in Kinnelon, New Jersey is 0.191 ppb.

What is the current level of ozone (O3) in Kinnelon, New Jersey?

Kinnelon, New Jersey currently has an ozone (O3) concentration of 25.923 ppm.

What is the current level of nitrogen dioxide (NO2) in Kinnelon, New Jersey?

The current level of nitrogen dioxide (NO2) in Kinnelon, New Jersey is 18.958 ppb.

Current air quality index in Kinnelon, New Jersey today

Q: What is the PM2.5 concentration in Kinnelon, New Jersey right now?

Kinnelon, New Jersey currently has a PM2.5 concentration of 7.046 μg/m3.

Stay updated with real-time air quality in Kinnelon, 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

Kinnelon, New Jersey

Last updated: ... (Local time)

Common air pollutants in Kinnelon, New Jersey

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

7.05 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

27.86 μg/m³

155

255

425

605+

Ozone (O₃)

25.92 ppb

201

201+

Sulfur Dioxide (SO₂)

0.19 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

18.96 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.30 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Kinnelon, New Jersey

Get Live Pollen Counts

Kinnelon, New Jersey

Scroll To Air Quality Map

Track live Kinnelon, New Jersey air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-20T12:00:00.000Z	31 \| good	3.016 \| good	8.228 \| good	32.529 \| good	0.282 \| good	8.834 \| good	0.24 \| good
2025-10-20T13:00:00.000Z	29 \| good	3.002 \| good	13.304 \| good	31.467 \| good	0.35 \| good	8.521 \| good	0.24 \| good
2025-10-20T14:00:00.000Z	28 \| good	2.86 \| good	11.969 \| good	29.955 \| good	0.284 \| good	8.192 \| good	0.266 \| good
2025-10-20T15:00:00.000Z	26 \| good	1.381 \| good	6.818 \| good	28.359 \| good	0.231 \| good	7.625 \| good	0.24 \| good
2025-10-20T16:00:00.000Z	24 \| good	2.296 \| good	9.136 \| good	26.45 \| good	0.582 \| good	5.503 \| good	0.189 \| good
2025-10-20T17:00:00.000Z	23 \| good	1.182 \| good	6.678 \| good	25.086 \| good	0.478 \| good	6.175 \| good	0.183 \| good
2025-10-20T18:00:00.000Z	23 \| good	0.83 \| good	4.19 \| good	24.715 \| good	0.683 \| good	6.701 \| good	0.183 \| good
2025-10-20T19:00:00.000Z	23 \| good	2.734 \| good	13.128 \| good	24.766 \| good	0.199 \| good	5.043 \| good	0.158 \| good
2025-10-20T20:00:00.000Z	21 \| good	1.889 \| good	7.905 \| good	22.742 \| good	0.322 \| good	4.326 \| good	0.132 \| good
2025-10-20T21:00:00.000Z	20 \| good	1.806 \| good	10.142 \| good	21.987 \| good	0.254 \| good	4.054 \| good	0.158 \| good
2025-10-20T22:00:00.000Z	21 \| good	1.174 \| good	4.989 \| good	23.13 \| good	0.577 \| good	4.838 \| good	0.132 \| good
2025-10-20T23:00:00.000Z	22 \| good	1.894 \| good	5.21 \| good	23.626 \| good	0.188 \| good	3.527 \| good	0.112 \| good
2025-10-21T00:00:00.000Z	21 \| good	1.746 \| good	7.17 \| good	22.541 \| good	0.227 \| good	3.848 \| good	0.164 \| good
2025-10-21T01:00:00.000Z	20 \| good	1.621 \| good	7.449 \| good	22.013 \| good	0.251 \| good	5.061 \| good	0.164 \| good
2025-10-21T02:00:00.000Z	21 \| good	3.365 \| good	13.047 \| good	23.161 \| good	0.251 \| good	5.379 \| good	0.164 \| good
2025-10-21T03:00:00.000Z	26 \| good	1.932 \| good	8 \| good	28.345 \| good	0.797 \| good	5.595 \| good	0.138 \| good
2025-10-21T04:00:00.000Z	23 \| good	2.659 \| good	12.514 \| good	25.124 \| good	0.241 \| good	8.253 \| good	0.138 \| good
2025-10-21T05:00:00.000Z	22 \| good	2.877 \| good	12.312 \| good	24.139 \| good	0.246 \| good	8.55 \| good	0.138 \| good
2025-10-21T06:00:00.000Z	22 \| good	2.927 \| good	11.981 \| good	23.809 \| good	0.247 \| good	7.779 \| good	0.106 \| good
2025-10-21T07:00:00.000Z	23 \| good	3.227 \| good	11.044 \| good	24.731 \| good	0.222 \| good	6.743 \| good	0.112 \| good
2025-10-21T08:00:00.000Z	23 \| good	3.091 \| good	11.389 \| good	25.034 \| good	0.186 \| good	6.293 \| good	0.123 \| good
2025-10-21T09:00:00.000Z	23 \| good	2.772 \| good	12.003 \| good	25.382 \| good	0.251 \| good	6.402 \| good	0.116 \| good
2025-10-21T10:00:00.000Z	22 \| good	3.171 \| good	13.992 \| good	23.714 \| good	0.534 \| good	10.337 \| good	0.155 \| good
2025-10-21T11:00:00.000Z	19 \| good	2.831 \| good	10.365 \| good	20.716 \| good	0.517 \| good	12.354 \| good	0.161 \| good
2025-10-21T12:00:00.000Z	18 \| good	3.016 \| good	13.542 \| good	19.068 \| good	0.535 \| good	14.059 \| good	0.256 \| good
2025-10-21T13:00:00.000Z	19 \| good	3.373 \| good	13.077 \| good	21.035 \| good	0.795 \| good	14.385 \| good	0.346 \| good
2025-10-21T14:00:00.000Z	22 \| good	3.841 \| good	15.927 \| good	21.122 \| good	0.861 \| good	14.106 \| good	0.382 \| good
2025-10-21T15:00:00.000Z	19 \| good	3.465 \| good	12.11 \| good	21.383 \| good	1.293 \| good	8.616 \| good	0.282 \| good
2025-10-21T16:00:00.000Z	22 \| good	3.158 \| good	12.87 \| good	23.684 \| good	1.471 \| good	8.637 \| good	0.276 \| good
2025-10-21T17:00:00.000Z	24 \| good	2.824 \| good	11.525 \| good	25.532 \| good	1.234 \| good	11.833 \| good	0.191 \| good
2025-10-21T18:00:00.000Z	29 \| good	3.448 \| good	14.944 \| good	30.697 \| good	0.807 \| good	9.358 \| good	0.183 \| good
2025-10-21T19:00:00.000Z	30 \| good	3.081 \| good	14.592 \| good	32.466 \| good	0.67 \| good	8.408 \| good	0.219 \| good
2025-10-21T20:00:00.000Z	33 \| good	2.903 \| good	12.127 \| good	36.199 \| good	0.374 \| good	10.605 \| good	0.219 \| good
2025-10-21T21:00:00.000Z	33 \| good	3.354 \| good	14.659 \| good	36.297 \| good	0.393 \| good	12.932 \| good	0.209 \| good
2025-10-21T22:00:00.000Z	32 \| good	4.148 \| good	19.63 \| good	35.113 \| good	0.382 \| good	12.602 \| good	0.209 \| good
2025-10-21T23:00:00.000Z	31 \| good	5.356 \| good	25.333 \| good	32.693 \| good	0.308 \| good	16.221 \| good	0.216 \| good
2025-10-22T00:00:00.000Z	33 \| good	5.909 \| good	21.193 \| good	29.663 \| good	0.331 \| good	16.854 \| good	0.215 \| good
2025-10-22T01:00:00.000Z	27 \| good	5.337 \| good	27.374 \| good	29.287 \| good	0.352 \| good	18.134 \| good	0.215 \| good
2025-10-22T02:00:00.000Z	33 \| good	5.905 \| good	24.279 \| good	30.31 \| good	0.189 \| good	11.483 \| good	0.167 \| good
2025-10-22T03:00:00.000Z	52 \| moderate	10.022 \| good	44.658 \| good	22.761 \| good	2.362 \| good	11.557 \| good	0.185 \| good
2025-10-22T04:00:00.000Z	33 \| good	5.95 \| good	29.105 \| good	27.843 \| good	0.287 \| good	12.546 \| good	0.173 \| good
2025-10-22T05:00:00.000Z	44 \| good	7.567 \| good	34.177 \| good	26.607 \| good	0.313 \| good	10.757 \| good	0.137 \| good
2025-10-22T06:00:00.000Z	44 \| good	7.978 \| good	32.852 \| good	26.122 \| good	0.292 \| good	12.292 \| good	0.138 \| good
2025-10-22T07:00:00.000Z	44 \| good	7.968 \| good	31.642 \| good	24.126 \| good	0.293 \| good	11.807 \| good	0.138 \| good
2025-10-22T08:00:00.000Z	44 \| good	7.914 \| good	30.349 \| good	21.884 \| good	0.3 \| good	13.101 \| good	0.126 \| good
2025-10-22T09:00:00.000Z	38 \| good	7.17 \| good	31.708 \| good	21.966 \| good	0.294 \| good	14.621 \| good	0.173 \| good
2025-10-22T10:00:00.000Z	38 \| good	6.802 \| good	25.252 \| good	26.256 \| good	0.293 \| good	19.322 \| good	0.276 \| good
2025-10-22T11:00:00.000Z	38 \| good	7.046 \| good	27.862 \| good	25.923 \| good	0.191 \| good	18.958 \| good	0.302 \| good
2025-10-22T11:00:00.000Z	38 \| good	7.046 \| good	27.862 \| good	25.923 \| good	0.191 \| good	18.958 \| good	0.302 \| good
2025-10-22T12:00:00.000Z	38 \| good	7.062 \| good	31.029 \| good	27.201 \| good	2.409 \| good	7.704 \| good	0.182 \| good
2025-10-22T13:00:00.000Z	38 \| good	6.523 \| good	29.035 \| good	30.091 \| good	2.755 \| good	6.145 \| good	0.171 \| good
2025-10-22T14:00:00.000Z	31 \| good	5.404 \| good	23.39 \| good	33.141 \| good	3.101 \| good	4.585 \| good	0.161 \| good
2025-10-22T15:00:00.000Z	31 \| good	4.256 \| good	18.535 \| good	33.969 \| good	3.448 \| good	3.026 \| good	0.15 \| good
2025-10-22T16:00:00.000Z	35 \| good	2.055 \| good	8.202 \| good	37.759 \| good	2.852 \| good	2.572 \| good	0.143 \| good
2025-10-22T17:00:00.000Z	37 \| good	2.064 \| good	8.23 \| good	40.081 \| good	2.256 \| good	2.119 \| good	0.136 \| good
2025-10-22T18:00:00.000Z	35 \| good	2.913 \| good	12 \| good	37.998 \| good	1.66 \| good	1.665 \| good	0.129 \| good
2025-10-22T19:00:00.000Z	32 \| good	4.667 \| good	20.534 \| good	35.306 \| good	1.602 \| good	2.027 \| good	0.131 \| good
2025-10-22T20:00:00.000Z	31 \| good	5.395 \| good	23.086 \| good	32.874 \| good	1.544 \| good	2.388 \| good	0.133 \| good
2025-10-22T21:00:00.000Z	31 \| good	3.862 \| good	17.061 \| good	33.304 \| good	1.487 \| good	2.749 \| good	0.135 \| good
2025-10-22T22:00:00.000Z	29 \| good	2.502 \| good	10.095 \| good	30.571 \| good	1.575 \| good	4.39 \| good	0.145 \| good
2025-10-22T23:00:00.000Z	28 \| good	3.109 \| good	13.497 \| good	29.996 \| good	1.663 \| good	6.03 \| good	0.155 \| good
2025-10-23T00:00:00.000Z	25 \| good	3.764 \| good	16.602 \| good	27.219 \| good	1.751 \| good	7.671 \| good	0.165 \| good
2025-10-23T01:00:00.000Z	23 \| good	3.702 \| good	16.168 \| good	24.53 \| good	1.882 \| good	8.659 \| good	0.17 \| good
2025-10-23T02:00:00.000Z	27 \| good	4.626 \| good	20.076 \| good	23.164 \| good	2.013 \| good	9.647 \| good	0.175 \| good
2025-10-23T03:00:00.000Z	27 \| good	4.924 \| good	21.54 \| good	23.215 \| good	2.144 \| good	10.635 \| good	0.181 \| good
2025-10-23T04:00:00.000Z	33 \| good	5.918 \| good	26.252 \| good	23.453 \| good	2.272 \| good	9.695 \| good	0.176 \| good
2025-10-23T05:00:00.000Z	38 \| good	6.774 \| good	29.803 \| good	23.627 \| good	2.399 \| good	8.755 \| good	0.171 \| good
2025-10-23T06:00:00.000Z	33 \| good	5.718 \| good	24.736 \| good	23.981 \| good	2.526 \| good	7.815 \| good	0.166 \| good
2025-10-23T07:00:00.000Z	38 \| good	6.853 \| good	30.568 \| good	23.815 \| good	2.614 \| good	7.3 \| good	0.161 \| good
2025-10-23T08:00:00.000Z	33 \| good	6.38 \| good	28.569 \| good	24.544 \| good	2.701 \| good	6.786 \| good	0.157 \| good
2025-10-23T09:00:00.000Z	33 \| good	6.45 \| good	28.802 \| good	24.185 \| good	2.788 \| good	6.271 \| good	0.152 \| good
2025-10-23T10:00:00.000Z	33 \| good	5.8 \| good	24.89 \| good	23.784 \| good	2.838 \| good	6.807 \| good	0.157 \| good
2025-10-23T11:00:00.000Z	33 \| good	6.034 \| good	26.642 \| good	23.245 \| good	2.889 \| good	7.343 \| good	0.162 \| good
2025-10-23T12:00:00.000Z	33 \| good	6.025 \| good	26.598 \| good	23.108 \| good	2.939 \| good	7.879 \| good	0.167 \| good
2025-10-23T13:00:00.000Z	33 \| good	5.722 \| good	24.829 \| good	24.883 \| good	2.841 \| good	6.689 \| good	0.162 \| good
2025-10-23T14:00:00.000Z	33 \| good	5.682 \| good	24.617 \| good	27.185 \| good	2.743 \| good	5.499 \| good	0.157 \| good
2025-10-23T15:00:00.000Z	27 \| good	4.542 \| good	19.775 \| good	29.033 \| good	2.645 \| good	4.308 \| good	0.153 \| good
2025-10-23T16:00:00.000Z	31 \| good	2.136 \| good	8.906 \| good	32.689 \| good	2.278 \| good	3.669 \| good	0.148 \| good
2025-10-23T17:00:00.000Z	33 \| good	1.782 \| good	7.225 \| good	36.093 \| good	1.912 \| good	3.03 \| good	0.143 \| good
2025-10-23T18:00:00.000Z	31 \| good	1.656 \| good	6.831 \| good	32.629 \| good	1.546 \| good	2.391 \| good	0.139 \| good
2025-10-23T19:00:00.000Z	29 \| good	1.924 \| good	7.828 \| good	30.722 \| good	1.464 \| good	2.667 \| good	0.14 \| good
2025-10-23T20:00:00.000Z	28 \| good	1.701 \| good	6.86 \| good	30.131 \| good	1.381 \| good	2.943 \| good	0.141 \| good
2025-10-23T21:00:00.000Z	28 \| good	0.476 \| good	1.911 \| good	30.46 \| good	1.299 \| good	3.218 \| good	0.142 \| good
2025-10-23T22:00:00.000Z	27 \| good	0.659 \| good	2.569 \| good	29.037 \| good	1.366 \| good	5.692 \| good	0.158 \| good
2025-10-23T23:00:00.000Z	23 \| good	0.406 \| good	1.71 \| good	25.238 \| good	1.434 \| good	8.165 \| good	0.173 \| good
2025-10-24T00:00:00.000Z	27 \| good	1.783 \| good	7.098 \| good	28.995 \| good	1.501 \| good	10.638 \| good	0.189 \| good
2025-10-24T01:00:00.000Z	27 \| good	1.254 \| good	5.023 \| good	28.889 \| good	1.498 \| good	10.361 \| good	0.188 \| good
2025-10-24T02:00:00.000Z	27 \| good	1.731 \| good	7.075 \| good	29.252 \| good	1.496 \| good	10.084 \| good	0.186 \| good
2025-10-24T03:00:00.000Z	28 \| good	1.491 \| good	6.012 \| good	30.242 \| good	1.493 \| good	9.807 \| good	0.185 \| good
2025-10-24T04:00:00.000Z	28 \| good	1.856 \| good	7.573 \| good	30.466 \| good	1.429 \| good	8.609 \| good	0.179 \| good
2025-10-24T05:00:00.000Z	29 \| good	3.15 \| good	13.449 \| good	30.777 \| good	1.365 \| good	7.412 \| good	0.173 \| good
2025-10-24T06:00:00.000Z	17 \| good	3.379 \| good	3.383 \| good	17.789 \| good	1.316 \| good	6.304 \| good	0.167 \| good
2025-10-24T07:00:00.000Z	27 \| good	3.376 \| good	14.585 \| good	29.086 \| good	1.188 \| good	5.758 \| good	0.162 \| good
2025-10-24T08:00:00.000Z	26 \| good	2.678 \| good	11.074 \| good	27.931 \| good	1.075 \| good	5.302 \| good	0.158 \| good
2025-10-24T09:00:00.000Z	24 \| good	2.226 \| good	8.96 \| good	25.925 \| good	0.962 \| good	4.846 \| good	0.153 \| good
2025-10-24T10:00:00.000Z	23 \| good	0.981 \| good	3.89 \| good	24.82 \| good	0.936 \| good	5.8 \| good	0.162 \| good
2025-10-24T11:00:00.000Z	24 \| good	1.398 \| good	5.808 \| good	26.466 \| good	0.91 \| good	6.754 \| good	0.171 \| good

Kinnelon

Empower business decisions with accurate air quality data

Real-time air quality map: Monitor AQI near Kinnelon, New Jersey

0.28ppm

How accurate is New Jersey, USA air quality data?

The air quality data for New Jersey, USA is gathered from reliable sources such as satellites and monitoring stations, adhering to US EPA guidelines. With the help of advanced algorithms and machine learning, factors like traffic and population density are analyzed to deliver accurate and dependable results.

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 frequently does the air quality data for Kinnelon, New Jersey get updated?

Air quality updates for Kinnelon, New Jersey are available every hour.

What time in the past 24 hours saw the poorest air quality in Kinnelon, New Jersey?

Kinnelon, New Jersey experienced its worst air quality at 03:00:00, 2025-10-22.

When was air quality in Kinnelon, New Jersey the best over the past 24 hours?

The best air quality in Kinnelon, New Jersey was observed at 12:00:00 on 2025-10-21.

What is the air quality in Kinnelon, New Jersey right now?

The air quality in Kinnelon, New Jersey right now is Good, with an AQI of 38.

What pollutant is most frequently found in Kinnelon, New Jersey?

In Kinnelon, New Jersey, PM2.5 is the most frequently found pollutant.

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

When air quality in Kinnelon, New Jersey is compromised, staying indoors and wearing a mask can reduce health risks.

What is the PM_2.5 concentration in Kinnelon, New Jersey right now?

Kinnelon, New Jersey currently has a PM_2.5 concentration of 7.046 μg/m³.

What is the current level of PM₁₀ in Kinnelon, New Jersey?

Kinnelon, New Jersey currently has a PM₁₀ concentration of 27.862 μg/m³.

What is the current level of carbon monoxide (CO) in Kinnelon, New Jersey?

The current carbon monoxide (CO) level in Kinnelon, New Jersey is 0.302 ppm.

What is the current level of sulfur dioxide (SO₂) in Kinnelon, New Jersey?

The current sulfur dioxide (SO₂) concentration in Kinnelon, New Jersey is 0.191 ppb.

What is the current level of ozone (O₃) in Kinnelon, New Jersey?

Kinnelon, New Jersey currently has an ozone (O₃) concentration of 25.923 ppm.

What is the current level of nitrogen dioxide (NO₂) in Kinnelon, New Jersey?

The current level of nitrogen dioxide (NO₂) in Kinnelon, New Jersey is 18.958 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	31 \| good	3.016 \| good	8.228 \| good	32.529 \| good	0.282 \| good	8.834 \| good	0.24 \| good
2025-10-20T13:00:00.000Z	29 \| good	3.002 \| good	13.304 \| good	31.467 \| good	0.35 \| good	8.521 \| good	0.24 \| good
2025-10-20T14:00:00.000Z	28 \| good	2.86 \| good	11.969 \| good	29.955 \| good	0.284 \| good	8.192 \| good	0.266 \| good
2025-10-20T15:00:00.000Z	26 \| good	1.381 \| good	6.818 \| good	28.359 \| good	0.231 \| good	7.625 \| good	0.24 \| good
2025-10-20T16:00:00.000Z	24 \| good	2.296 \| good	9.136 \| good	26.45 \| good	0.582 \| good	5.503 \| good	0.189 \| good
2025-10-20T17:00:00.000Z	23 \| good	1.182 \| good	6.678 \| good	25.086 \| good	0.478 \| good	6.175 \| good	0.183 \| good
2025-10-20T18:00:00.000Z	23 \| good	0.83 \| good	4.19 \| good	24.715 \| good	0.683 \| good	6.701 \| good	0.183 \| good
2025-10-20T19:00:00.000Z	23 \| good	2.734 \| good	13.128 \| good	24.766 \| good	0.199 \| good	5.043 \| good	0.158 \| good
2025-10-20T20:00:00.000Z	21 \| good	1.889 \| good	7.905 \| good	22.742 \| good	0.322 \| good	4.326 \| good	0.132 \| good
2025-10-20T21:00:00.000Z	20 \| good	1.806 \| good	10.142 \| good	21.987 \| good	0.254 \| good	4.054 \| good	0.158 \| good
2025-10-20T22:00:00.000Z	21 \| good	1.174 \| good	4.989 \| good	23.13 \| good	0.577 \| good	4.838 \| good	0.132 \| good
2025-10-20T23:00:00.000Z	22 \| good	1.894 \| good	5.21 \| good	23.626 \| good	0.188 \| good	3.527 \| good	0.112 \| good
2025-10-21T00:00:00.000Z	21 \| good	1.746 \| good	7.17 \| good	22.541 \| good	0.227 \| good	3.848 \| good	0.164 \| good
2025-10-21T01:00:00.000Z	20 \| good	1.621 \| good	7.449 \| good	22.013 \| good	0.251 \| good	5.061 \| good	0.164 \| good
2025-10-21T02:00:00.000Z	21 \| good	3.365 \| good	13.047 \| good	23.161 \| good	0.251 \| good	5.379 \| good	0.164 \| good
2025-10-21T03:00:00.000Z	26 \| good	1.932 \| good	8 \| good	28.345 \| good	0.797 \| good	5.595 \| good	0.138 \| good
2025-10-21T04:00:00.000Z	23 \| good	2.659 \| good	12.514 \| good	25.124 \| good	0.241 \| good	8.253 \| good	0.138 \| good
2025-10-21T05:00:00.000Z	22 \| good	2.877 \| good	12.312 \| good	24.139 \| good	0.246 \| good	8.55 \| good	0.138 \| good
2025-10-21T06:00:00.000Z	22 \| good	2.927 \| good	11.981 \| good	23.809 \| good	0.247 \| good	7.779 \| good	0.106 \| good
2025-10-21T07:00:00.000Z	23 \| good	3.227 \| good	11.044 \| good	24.731 \| good	0.222 \| good	6.743 \| good	0.112 \| good
2025-10-21T08:00:00.000Z	23 \| good	3.091 \| good	11.389 \| good	25.034 \| good	0.186 \| good	6.293 \| good	0.123 \| good
2025-10-21T09:00:00.000Z	23 \| good	2.772 \| good	12.003 \| good	25.382 \| good	0.251 \| good	6.402 \| good	0.116 \| good
2025-10-21T10:00:00.000Z	22 \| good	3.171 \| good	13.992 \| good	23.714 \| good	0.534 \| good	10.337 \| good	0.155 \| good
2025-10-21T11:00:00.000Z	19 \| good	2.831 \| good	10.365 \| good	20.716 \| good	0.517 \| good	12.354 \| good	0.161 \| good
2025-10-21T12:00:00.000Z	18 \| good	3.016 \| good	13.542 \| good	19.068 \| good	0.535 \| good	14.059 \| good	0.256 \| good
2025-10-21T13:00:00.000Z	19 \| good	3.373 \| good	13.077 \| good	21.035 \| good	0.795 \| good	14.385 \| good	0.346 \| good
2025-10-21T14:00:00.000Z	22 \| good	3.841 \| good	15.927 \| good	21.122 \| good	0.861 \| good	14.106 \| good	0.382 \| good
2025-10-21T15:00:00.000Z	19 \| good	3.465 \| good	12.11 \| good	21.383 \| good	1.293 \| good	8.616 \| good	0.282 \| good
2025-10-21T16:00:00.000Z	22 \| good	3.158 \| good	12.87 \| good	23.684 \| good	1.471 \| good	8.637 \| good	0.276 \| good
2025-10-21T17:00:00.000Z	24 \| good	2.824 \| good	11.525 \| good	25.532 \| good	1.234 \| good	11.833 \| good	0.191 \| good
2025-10-21T18:00:00.000Z	29 \| good	3.448 \| good	14.944 \| good	30.697 \| good	0.807 \| good	9.358 \| good	0.183 \| good
2025-10-21T19:00:00.000Z	30 \| good	3.081 \| good	14.592 \| good	32.466 \| good	0.67 \| good	8.408 \| good	0.219 \| good
2025-10-21T20:00:00.000Z	33 \| good	2.903 \| good	12.127 \| good	36.199 \| good	0.374 \| good	10.605 \| good	0.219 \| good
2025-10-21T21:00:00.000Z	33 \| good	3.354 \| good	14.659 \| good	36.297 \| good	0.393 \| good	12.932 \| good	0.209 \| good
2025-10-21T22:00:00.000Z	32 \| good	4.148 \| good	19.63 \| good	35.113 \| good	0.382 \| good	12.602 \| good	0.209 \| good
2025-10-21T23:00:00.000Z	31 \| good	5.356 \| good	25.333 \| good	32.693 \| good	0.308 \| good	16.221 \| good	0.216 \| good
2025-10-22T00:00:00.000Z	33 \| good	5.909 \| good	21.193 \| good	29.663 \| good	0.331 \| good	16.854 \| good	0.215 \| good
2025-10-22T01:00:00.000Z	27 \| good	5.337 \| good	27.374 \| good	29.287 \| good	0.352 \| good	18.134 \| good	0.215 \| good
2025-10-22T02:00:00.000Z	33 \| good	5.905 \| good	24.279 \| good	30.31 \| good	0.189 \| good	11.483 \| good	0.167 \| good
2025-10-22T03:00:00.000Z	52 \| moderate	10.022 \| good	44.658 \| good	22.761 \| good	2.362 \| good	11.557 \| good	0.185 \| good
2025-10-22T04:00:00.000Z	33 \| good	5.95 \| good	29.105 \| good	27.843 \| good	0.287 \| good	12.546 \| good	0.173 \| good
2025-10-22T05:00:00.000Z	44 \| good	7.567 \| good	34.177 \| good	26.607 \| good	0.313 \| good	10.757 \| good	0.137 \| good
2025-10-22T06:00:00.000Z	44 \| good	7.978 \| good	32.852 \| good	26.122 \| good	0.292 \| good	12.292 \| good	0.138 \| good
2025-10-22T07:00:00.000Z	44 \| good	7.968 \| good	31.642 \| good	24.126 \| good	0.293 \| good	11.807 \| good	0.138 \| good
2025-10-22T08:00:00.000Z	44 \| good	7.914 \| good	30.349 \| good	21.884 \| good	0.3 \| good	13.101 \| good	0.126 \| good
2025-10-22T09:00:00.000Z	38 \| good	7.17 \| good	31.708 \| good	21.966 \| good	0.294 \| good	14.621 \| good	0.173 \| good
2025-10-22T10:00:00.000Z	38 \| good	6.802 \| good	25.252 \| good	26.256 \| good	0.293 \| good	19.322 \| good	0.276 \| good
2025-10-22T11:00:00.000Z	38 \| good	7.046 \| good	27.862 \| good	25.923 \| good	0.191 \| good	18.958 \| good	0.302 \| good
2025-10-22T11:00:00.000Z	38 \| good	7.046 \| good	27.862 \| good	25.923 \| good	0.191 \| good	18.958 \| good	0.302 \| good
2025-10-22T12:00:00.000Z	38 \| good	7.062 \| good	31.029 \| good	27.201 \| good	2.409 \| good	7.704 \| good	0.182 \| good
2025-10-22T13:00:00.000Z	38 \| good	6.523 \| good	29.035 \| good	30.091 \| good	2.755 \| good	6.145 \| good	0.171 \| good
2025-10-22T14:00:00.000Z	31 \| good	5.404 \| good	23.39 \| good	33.141 \| good	3.101 \| good	4.585 \| good	0.161 \| good
2025-10-22T15:00:00.000Z	31 \| good	4.256 \| good	18.535 \| good	33.969 \| good	3.448 \| good	3.026 \| good	0.15 \| good
2025-10-22T16:00:00.000Z	35 \| good	2.055 \| good	8.202 \| good	37.759 \| good	2.852 \| good	2.572 \| good	0.143 \| good
2025-10-22T17:00:00.000Z	37 \| good	2.064 \| good	8.23 \| good	40.081 \| good	2.256 \| good	2.119 \| good	0.136 \| good
2025-10-22T18:00:00.000Z	35 \| good	2.913 \| good	12 \| good	37.998 \| good	1.66 \| good	1.665 \| good	0.129 \| good
2025-10-22T19:00:00.000Z	32 \| good	4.667 \| good	20.534 \| good	35.306 \| good	1.602 \| good	2.027 \| good	0.131 \| good
2025-10-22T20:00:00.000Z	31 \| good	5.395 \| good	23.086 \| good	32.874 \| good	1.544 \| good	2.388 \| good	0.133 \| good
2025-10-22T21:00:00.000Z	31 \| good	3.862 \| good	17.061 \| good	33.304 \| good	1.487 \| good	2.749 \| good	0.135 \| good
2025-10-22T22:00:00.000Z	29 \| good	2.502 \| good	10.095 \| good	30.571 \| good	1.575 \| good	4.39 \| good	0.145 \| good
2025-10-22T23:00:00.000Z	28 \| good	3.109 \| good	13.497 \| good	29.996 \| good	1.663 \| good	6.03 \| good	0.155 \| good
2025-10-23T00:00:00.000Z	25 \| good	3.764 \| good	16.602 \| good	27.219 \| good	1.751 \| good	7.671 \| good	0.165 \| good
2025-10-23T01:00:00.000Z	23 \| good	3.702 \| good	16.168 \| good	24.53 \| good	1.882 \| good	8.659 \| good	0.17 \| good
2025-10-23T02:00:00.000Z	27 \| good	4.626 \| good	20.076 \| good	23.164 \| good	2.013 \| good	9.647 \| good	0.175 \| good
2025-10-23T03:00:00.000Z	27 \| good	4.924 \| good	21.54 \| good	23.215 \| good	2.144 \| good	10.635 \| good	0.181 \| good
2025-10-23T04:00:00.000Z	33 \| good	5.918 \| good	26.252 \| good	23.453 \| good	2.272 \| good	9.695 \| good	0.176 \| good
2025-10-23T05:00:00.000Z	38 \| good	6.774 \| good	29.803 \| good	23.627 \| good	2.399 \| good	8.755 \| good	0.171 \| good
2025-10-23T06:00:00.000Z	33 \| good	5.718 \| good	24.736 \| good	23.981 \| good	2.526 \| good	7.815 \| good	0.166 \| good
2025-10-23T07:00:00.000Z	38 \| good	6.853 \| good	30.568 \| good	23.815 \| good	2.614 \| good	7.3 \| good	0.161 \| good
2025-10-23T08:00:00.000Z	33 \| good	6.38 \| good	28.569 \| good	24.544 \| good	2.701 \| good	6.786 \| good	0.157 \| good
2025-10-23T09:00:00.000Z	33 \| good	6.45 \| good	28.802 \| good	24.185 \| good	2.788 \| good	6.271 \| good	0.152 \| good
2025-10-23T10:00:00.000Z	33 \| good	5.8 \| good	24.89 \| good	23.784 \| good	2.838 \| good	6.807 \| good	0.157 \| good
2025-10-23T11:00:00.000Z	33 \| good	6.034 \| good	26.642 \| good	23.245 \| good	2.889 \| good	7.343 \| good	0.162 \| good
2025-10-23T12:00:00.000Z	33 \| good	6.025 \| good	26.598 \| good	23.108 \| good	2.939 \| good	7.879 \| good	0.167 \| good
2025-10-23T13:00:00.000Z	33 \| good	5.722 \| good	24.829 \| good	24.883 \| good	2.841 \| good	6.689 \| good	0.162 \| good
2025-10-23T14:00:00.000Z	33 \| good	5.682 \| good	24.617 \| good	27.185 \| good	2.743 \| good	5.499 \| good	0.157 \| good
2025-10-23T15:00:00.000Z	27 \| good	4.542 \| good	19.775 \| good	29.033 \| good	2.645 \| good	4.308 \| good	0.153 \| good
2025-10-23T16:00:00.000Z	31 \| good	2.136 \| good	8.906 \| good	32.689 \| good	2.278 \| good	3.669 \| good	0.148 \| good
2025-10-23T17:00:00.000Z	33 \| good	1.782 \| good	7.225 \| good	36.093 \| good	1.912 \| good	3.03 \| good	0.143 \| good
2025-10-23T18:00:00.000Z	31 \| good	1.656 \| good	6.831 \| good	32.629 \| good	1.546 \| good	2.391 \| good	0.139 \| good
2025-10-23T19:00:00.000Z	29 \| good	1.924 \| good	7.828 \| good	30.722 \| good	1.464 \| good	2.667 \| good	0.14 \| good
2025-10-23T20:00:00.000Z	28 \| good	1.701 \| good	6.86 \| good	30.131 \| good	1.381 \| good	2.943 \| good	0.141 \| good
2025-10-23T21:00:00.000Z	28 \| good	0.476 \| good	1.911 \| good	30.46 \| good	1.299 \| good	3.218 \| good	0.142 \| good
2025-10-23T22:00:00.000Z	27 \| good	0.659 \| good	2.569 \| good	29.037 \| good	1.366 \| good	5.692 \| good	0.158 \| good
2025-10-23T23:00:00.000Z	23 \| good	0.406 \| good	1.71 \| good	25.238 \| good	1.434 \| good	8.165 \| good	0.173 \| good
2025-10-24T00:00:00.000Z	27 \| good	1.783 \| good	7.098 \| good	28.995 \| good	1.501 \| good	10.638 \| good	0.189 \| good
2025-10-24T01:00:00.000Z	27 \| good	1.254 \| good	5.023 \| good	28.889 \| good	1.498 \| good	10.361 \| good	0.188 \| good
2025-10-24T02:00:00.000Z	27 \| good	1.731 \| good	7.075 \| good	29.252 \| good	1.496 \| good	10.084 \| good	0.186 \| good
2025-10-24T03:00:00.000Z	28 \| good	1.491 \| good	6.012 \| good	30.242 \| good	1.493 \| good	9.807 \| good	0.185 \| good
2025-10-24T04:00:00.000Z	28 \| good	1.856 \| good	7.573 \| good	30.466 \| good	1.429 \| good	8.609 \| good	0.179 \| good
2025-10-24T05:00:00.000Z	29 \| good	3.15 \| good	13.449 \| good	30.777 \| good	1.365 \| good	7.412 \| good	0.173 \| good
2025-10-24T06:00:00.000Z	17 \| good	3.379 \| good	3.383 \| good	17.789 \| good	1.316 \| good	6.304 \| good	0.167 \| good
2025-10-24T07:00:00.000Z	27 \| good	3.376 \| good	14.585 \| good	29.086 \| good	1.188 \| good	5.758 \| good	0.162 \| good
2025-10-24T08:00:00.000Z	26 \| good	2.678 \| good	11.074 \| good	27.931 \| good	1.075 \| good	5.302 \| good	0.158 \| good
2025-10-24T09:00:00.000Z	24 \| good	2.226 \| good	8.96 \| good	25.925 \| good	0.962 \| good	4.846 \| good	0.153 \| good
2025-10-24T10:00:00.000Z	23 \| good	0.981 \| good	3.89 \| good	24.82 \| good	0.936 \| good	5.8 \| good	0.162 \| good
2025-10-24T11:00:00.000Z	24 \| good	1.398 \| good	5.808 \| good	26.466 \| good	0.91 \| good	6.754 \| good	0.171 \| good

Current air quality index in Kinnelon, New Jersey today

Common air pollutants in Kinnelon, New Jersey

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Kinnelon, New Jersey air quality forecast and history

Empower business decisions with accurate air quality data

Real-time air quality map: Monitor AQI near Kinnelon, New Jersey

Air quality in nearby cities

Pompton Lakes, New Jersey

Wanaque, New Jersey

Pequannock, New Jersey

Montville, New Jersey

Wayne, New Jersey

Rockaway Township, New Jersey

How accurate is New Jersey, USA air quality data?

Air quality levels in US

Frequently asked questions

How frequently does the air quality data for Kinnelon, New Jersey get updated?

What time in the past 24 hours saw the poorest air quality in Kinnelon, New Jersey?

When was air quality in Kinnelon, New Jersey the best over the past 24 hours?

What is the air quality in Kinnelon, New Jersey right now?

What pollutant is most frequently found in Kinnelon, New Jersey?

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

What is the PM2.5 concentration in Kinnelon, New Jersey right now?

What is the current level of PM10 in Kinnelon, New Jersey?

What is the current level of carbon monoxide (CO) in Kinnelon, New Jersey?

What is the current level of sulfur dioxide (SO2) in Kinnelon, New Jersey?

What is the current level of ozone (O3) in Kinnelon, New Jersey?

What is the current level of nitrogen dioxide (NO2) in Kinnelon, New Jersey?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What is the PM_2.5 concentration in Kinnelon, New Jersey right now?

What is the current level of PM₁₀ in Kinnelon, New Jersey?

What is the current level of sulfur dioxide (SO₂) in Kinnelon, New Jersey?

What is the current level of ozone (O₃) in Kinnelon, New Jersey?

What is the current level of nitrogen dioxide (NO₂) in Kinnelon, New Jersey?