What are the current PM10 levels at Parsippanytroy Hills, New Jersey?

The current PM10 levels in Parsippanytroy Hills, New Jersey are 11.805 μg/m3.

What are the current sulfur dioxide (SO2) levels at Parsippanytroy Hills, New Jersey?

The current sulfur dioxide (SO2) levels in Parsippanytroy Hills, New Jersey are 0.249 ppb.

What are the current ozone (O3) levels at Parsippanytroy Hills, New Jersey?

The current ozone (O3) levels at Parsippanytroy Hills, New Jersey is 22.892 ppm.

What are the current nitrogen dioxide (NO2) levels at Parsippanytroy Hills, New Jersey?

The current nitrogen dioxide (NO2) levels at Parsippanytroy Hills, New Jersey is 7.791 ppb.

Real-time air quality index in ParsippanyTroy Hills, New Jersey today

Q: What are the current PM2.5 levels in Parsippanytroy Hills, New Jersey?

The measured PM2.5 levels in Parsippanytroy Hills, New Jersey at present are 4.105 μg/m3.

Stay updated with real-time air quality in ParsippanyTroy Hills, 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

ParsippanyTroy Hills, New Jersey

Last updated: ... (Local time)

Common air pollutants in ParsippanyTroy Hills, New Jersey

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

4.11 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

11.80 μg/m³

155

255

425

605+

Ozone (O₃)

22.89 ppb

201

201+

Sulfur Dioxide (SO₂)

0.25 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

7.79 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.20 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

ParsippanyTroy Hills, New Jersey

Get Live Pollen Counts

ParsippanyTroy Hills, New Jersey

Scroll To Air Quality Map

Track live ParsippanyTroy Hills, New Jersey air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-21T04:00:00.000Z	33 \| good	5.671 \| good	16.807 \| good	23.457 \| good	0.227 \| good	5.12 \| good	0.157 \| good
2025-10-21T05:00:00.000Z	22 \| good	4.42 \| good	20.199 \| good	15.148 \| good	0.252 \| good	5.406 \| good	0.157 \| good
2025-10-21T06:00:00.000Z	16 \| good	3.248 \| good	13.84 \| good	15.084 \| good	0.242 \| good	7.64 \| good	0.106 \| good
2025-10-21T07:00:00.000Z	22 \| good	3.634 \| good	15.834 \| good	20.456 \| good	0.214 \| good	5.753 \| good	0.118 \| good
2025-10-21T08:00:00.000Z	19 \| good	3.02 \| good	15.267 \| good	21.087 \| good	0.23 \| good	4.136 \| good	0.13 \| good
2025-10-21T09:00:00.000Z	19 \| good	3.351 \| good	15.087 \| good	20.083 \| good	0.255 \| good	6.201 \| good	0.13 \| good
2025-10-21T10:00:00.000Z	18 \| good	3.432 \| good	15.289 \| good	18.559 \| good	0.668 \| good	9.563 \| good	0.189 \| good
2025-10-21T11:00:00.000Z	19 \| good	2.593 \| good	12.302 \| good	19.639 \| good	0.645 \| good	10.994 \| good	0.18 \| good
2025-10-21T12:00:00.000Z	27 \| good	5.009 \| good	13.56 \| good	14.477 \| good	0.683 \| good	14.645 \| good	0.274 \| good
2025-10-21T13:00:00.000Z	16 \| good	3.316 \| good	12.817 \| good	14.542 \| good	0.922 \| good	15.729 \| good	0.39 \| good
2025-10-21T14:00:00.000Z	27 \| good	4.96 \| good	21.301 \| good	14.337 \| good	0.975 \| good	13.632 \| good	0.404 \| good
2025-10-21T15:00:00.000Z	33 \| good	5.925 \| good	25.266 \| good	16.635 \| good	1.171 \| good	14.432 \| good	0.293 \| good
2025-10-21T16:00:00.000Z	27 \| good	5.224 \| good	23.279 \| good	22.219 \| good	1.26 \| good	9.561 \| good	0.286 \| good
2025-10-21T17:00:00.000Z	38 \| good	6.95 \| good	27.842 \| good	21.694 \| good	1.136 \| good	9.62 \| good	0.214 \| good
2025-10-21T18:00:00.000Z	25 \| good	4.448 \| good	14.377 \| good	26.864 \| good	0.817 \| good	11.068 \| good	0.203 \| good
2025-10-21T19:00:00.000Z	28 \| good	4.911 \| good	15.715 \| good	30.219 \| good	0.718 \| good	10.036 \| good	0.223 \| good
2025-10-21T20:00:00.000Z	31 \| good	4.568 \| good	18.299 \| good	34.255 \| good	0.373 \| good	11.663 \| good	0.223 \| good
2025-10-21T21:00:00.000Z	33 \| good	4.317 \| good	17.656 \| good	35.961 \| good	0.432 \| good	17.87 \| good	0.242 \| good
2025-10-21T22:00:00.000Z	30 \| good	4.859 \| good	23.896 \| good	31.999 \| good	0.4 \| good	9.504 \| good	0.242 \| good
2025-10-21T23:00:00.000Z	31 \| good	5.04 \| good	24.195 \| good	34.224 \| good	0.344 \| good	16.378 \| good	0.242 \| good
2025-10-22T00:00:00.000Z	34 \| good	5.038 \| good	21.997 \| good	36.976 \| good	0.354 \| good	16.385 \| good	0.248 \| good
2025-10-22T01:00:00.000Z	31 \| good	5.018 \| good	24.475 \| good	33.109 \| good	0.376 \| good	17.639 \| good	0.248 \| good
2025-10-22T02:00:00.000Z	34 \| good	6.357 \| good	27.581 \| good	36.508 \| good	0.2 \| good	12.621 \| good	0.171 \| good
2025-10-22T03:00:00.000Z	49 \| good	8.939 \| good	39.323 \| good	28.257 \| good	2.194 \| good	10.825 \| good	0.176 \| good
2025-10-22T04:00:00.000Z	33 \| good	5.85 \| good	29.985 \| good	33.297 \| good	0.298 \| good	11.503 \| good	0.177 \| good
2025-10-22T05:00:00.000Z	38 \| good	7.163 \| good	28.866 \| good	31.094 \| good	0.3 \| good	8.719 \| good	0.151 \| good
2025-10-22T06:00:00.000Z	44 \| good	7.914 \| good	35.448 \| good	29.314 \| good	0.29 \| good	11.506 \| good	0.151 \| good
2025-10-22T07:00:00.000Z	38 \| good	7.34 \| good	32.418 \| good	24.15 \| good	0.291 \| good	12.358 \| good	0.151 \| good
2025-10-22T08:00:00.000Z	38 \| good	7.462 \| good	30.157 \| good	27.577 \| good	0.303 \| good	12.704 \| good	0.14 \| good
2025-10-22T09:00:00.000Z	38 \| good	6.991 \| good	29.993 \| good	22.665 \| good	0.292 \| good	13.93 \| good	0.172 \| good
2025-10-22T10:00:00.000Z	38 \| good	7.341 \| good	34.147 \| good	17.366 \| good	0.274 \| good	19.224 \| good	0.297 \| good
2025-10-22T11:00:00.000Z	44 \| good	8.292 \| good	32.916 \| good	19.512 \| good	0.153 \| good	16.982 \| good	0.327 \| good
2025-10-22T12:00:00.000Z	49 \| good	8.719 \| good	39.093 \| good	17.202 \| good	0.191 \| good	12.226 \| good	0.323 \| good
2025-10-22T13:00:00.000Z	49 \| good	9.22 \| good	34.355 \| good	19.347 \| good	0.193 \| good	11.112 \| good	0.329 \| good
2025-10-22T14:00:00.000Z	56 \| moderate	11.689 \| good	42.732 \| good	22.637 \| good	0.301 \| good	6.883 \| good	0.268 \| good
2025-10-22T15:00:00.000Z	58 \| moderate	13.147 \| fine	56.823 \| fine	22.95 \| good	0.419 \| good	7.008 \| good	0.268 \| good
2025-10-22T16:00:00.000Z	38 \| good	7.107 \| good	28.542 \| good	25.136 \| good	0.551 \| good	5.252 \| good	0.151 \| good
2025-10-22T17:00:00.000Z	27 \| good	5.063 \| good	24.761 \| good	27.127 \| good	0.69 \| good	4.954 \| good	0.151 \| good
2025-10-22T18:00:00.000Z	27 \| good	4.871 \| good	24.455 \| good	27.629 \| good	0.273 \| good	5.007 \| good	0.106 \| good
2025-10-22T19:00:00.000Z	27 \| good	3.875 \| good	17.384 \| good	29.373 \| good	0.208 \| good	4.219 \| good	0.106 \| good
2025-10-22T20:00:00.000Z	29 \| good	2.232 \| good	13.204 \| good	30.755 \| good	0.231 \| good	6.772 \| good	0.18 \| good
2025-10-22T21:00:00.000Z	25 \| good	2.434 \| good	16.455 \| good	26.966 \| good	0.206 \| good	6.982 \| good	0.174 \| good
2025-10-22T22:00:00.000Z	25 \| good	2.512 \| good	10.631 \| good	26.76 \| good	0.183 \| good	4.962 \| good	0.174 \| good
2025-10-22T23:00:00.000Z	26 \| good	1.91 \| good	11.634 \| good	28.288 \| good	0.184 \| good	5.608 \| good	0.18 \| good
2025-10-23T00:00:00.000Z	22 \| good	4.074 \| good	16.906 \| good	22.457 \| good	0.201 \| good	7.532 \| good	0.186 \| good
2025-10-23T01:00:00.000Z	22 \| good	3.599 \| good	16.766 \| good	23.715 \| good	0.226 \| good	8.707 \| good	0.209 \| good
2025-10-23T02:00:00.000Z	22 \| good	3.829 \| good	14.866 \| good	22.115 \| good	0.248 \| good	6.911 \| good	0.209 \| good
2025-10-23T03:00:00.000Z	22 \| good	4.105 \| good	11.805 \| good	22.892 \| good	0.249 \| good	7.791 \| good	0.205 \| good
2025-10-23T04:00:00.000Z	38 \| good	6.841 \| good	30.148 \| good	22.906 \| good	2.077 \| good	10.405 \| good	0.18 \| good
2025-10-23T05:00:00.000Z	38 \| good	6.69 \| good	29.89 \| good	22.343 \| good	2.114 \| good	9.513 \| good	0.176 \| good
2025-10-23T06:00:00.000Z	33 \| good	6.157 \| good	27.517 \| good	21.331 \| good	2.152 \| good	8.62 \| good	0.171 \| good
2025-10-23T07:00:00.000Z	38 \| good	6.701 \| good	29.824 \| good	21.22 \| good	2.291 \| good	8.218 \| good	0.167 \| good
2025-10-23T08:00:00.000Z	33 \| good	6.397 \| good	28.769 \| good	19.624 \| good	2.431 \| good	7.817 \| good	0.164 \| good
2025-10-23T09:00:00.000Z	33 \| good	5.575 \| good	23.963 \| good	17.896 \| good	2.571 \| good	7.416 \| good	0.161 \| good
2025-10-23T10:00:00.000Z	27 \| good	5.118 \| good	22.118 \| good	14.728 \| good	2.719 \| good	8.506 \| good	0.171 \| good
2025-10-23T11:00:00.000Z	27 \| good	5.064 \| good	21.89 \| good	14.432 \| good	2.868 \| good	9.597 \| good	0.181 \| good
2025-10-23T12:00:00.000Z	22 \| good	3.748 \| good	16.274 \| good	18.715 \| good	3.017 \| good	10.688 \| good	0.191 \| good
2025-10-23T13:00:00.000Z	22 \| good	4.045 \| good	17.63 \| good	22.403 \| good	3.093 \| good	8.878 \| good	0.184 \| good
2025-10-23T14:00:00.000Z	22 \| good	3.508 \| good	15.374 \| good	23.838 \| good	3.169 \| good	7.069 \| good	0.177 \| good
2025-10-23T15:00:00.000Z	23 \| good	2.517 \| good	10.181 \| good	25.083 \| good	3.245 \| good	5.259 \| good	0.17 \| good
2025-10-23T16:00:00.000Z	24 \| good	2.383 \| good	9.844 \| good	25.946 \| good	2.853 \| good	4.592 \| good	0.162 \| good
2025-10-23T17:00:00.000Z	25 \| good	2.536 \| good	10.527 \| good	26.867 \| good	2.461 \| good	3.925 \| good	0.154 \| good
2025-10-23T18:00:00.000Z	23 \| good	2.302 \| good	9.508 \| good	25.449 \| good	2.07 \| good	3.257 \| good	0.147 \| good
2025-10-23T19:00:00.000Z	23 \| good	2.802 \| good	11.767 \| good	25.347 \| good	2.005 \| good	3.595 \| good	0.148 \| good
2025-10-23T20:00:00.000Z	25 \| good	1.838 \| good	7.668 \| good	27.183 \| good	1.941 \| good	3.934 \| good	0.148 \| good
2025-10-23T21:00:00.000Z	25 \| good	2.503 \| good	10.17 \| good	26.521 \| good	1.876 \| good	4.272 \| good	0.149 \| good
2025-10-23T22:00:00.000Z	24 \| good	1.204 \| good	4.935 \| good	25.764 \| good	1.985 \| good	7.045 \| good	0.165 \| good
2025-10-23T23:00:00.000Z	23 \| good	0.361 \| good	1.293 \| good	25.387 \| good	2.093 \| good	9.817 \| good	0.181 \| good
2025-10-24T00:00:00.000Z	22 \| good	1.876 \| good	7.863 \| good	24.08 \| good	2.201 \| good	12.59 \| good	0.197 \| good
2025-10-24T01:00:00.000Z	22 \| good	3.698 \| good	15.929 \| good	23.489 \| good	2.2 \| good	12.095 \| good	0.195 \| good
2025-10-24T02:00:00.000Z	27 \| good	4.909 \| good	21.376 \| good	20.277 \| good	2.199 \| good	11.599 \| good	0.193 \| good
2025-10-24T03:00:00.000Z	22 \| good	4.403 \| good	19.134 \| good	20.645 \| good	2.198 \| good	11.104 \| good	0.192 \| good
2025-10-24T04:00:00.000Z	22 \| good	4.149 \| good	18.08 \| good	21.804 \| good	2.001 \| good	9.729 \| good	0.184 \| good
2025-10-24T05:00:00.000Z	21 \| good	3.313 \| good	14.135 \| good	23.012 \| good	1.804 \| good	8.355 \| good	0.177 \| good
2025-10-24T06:00:00.000Z	19 \| good	2.139 \| good	8.727 \| good	21.142 \| good	1.608 \| good	6.98 \| good	0.17 \| good
2025-10-24T07:00:00.000Z	18 \| good	2.841 \| good	11.593 \| good	19.325 \| good	1.453 \| good	6.481 \| good	0.164 \| good
2025-10-24T08:00:00.000Z	16 \| good	2.631 \| good	10.956 \| good	16.591 \| good	1.298 \| good	5.982 \| good	0.157 \| good
2025-10-24T09:00:00.000Z	15 \| good	1.585 \| good	6.422 \| good	15.834 \| good	1.143 \| good	5.483 \| good	0.151 \| good
2025-10-24T10:00:00.000Z	11 \| good	1.051 \| good	4.059 \| good	12.34 \| good	1.177 \| good	7.217 \| good	0.164 \| good
2025-10-24T11:00:00.000Z	8 \| good	1.056 \| good	4.485 \| good	8.53 \| good	1.211 \| good	8.952 \| good	0.178 \| good
2025-10-24T12:00:00.000Z	12 \| good	1.28 \| good	4.942 \| good	12.871 \| good	1.245 \| good	10.686 \| good	0.191 \| good
2025-10-24T13:00:00.000Z	18 \| good	1.313 \| good	5.305 \| good	18.763 \| good	1.294 \| good	8.617 \| good	0.182 \| good
2025-10-24T14:00:00.000Z	20 \| good	1.739 \| good	7.126 \| good	21.866 \| good	1.343 \| good	6.547 \| good	0.173 \| good
2025-10-24T15:00:00.000Z	25 \| good	1.345 \| good	5.529 \| good	27.336 \| good	1.391 \| good	4.478 \| good	0.163 \| good
2025-10-24T16:00:00.000Z	29 \| good	1.072 \| good	4.285 \| good	30.977 \| good	1.32 \| good	3.932 \| good	0.159 \| good
2025-10-24T17:00:00.000Z	31 \| good	1.589 \| good	6.506 \| good	33.678 \| good	1.249 \| good	3.387 \| good	0.155 \| good
2025-10-24T18:00:00.000Z	31 \| good	1.537 \| good	6.502 \| good	33.768 \| good	1.178 \| good	2.842 \| good	0.151 \| good
2025-10-24T19:00:00.000Z	31 \| good	1.908 \| good	7.938 \| good	33.166 \| good	1.066 \| good	3.057 \| good	0.151 \| good
2025-10-24T20:00:00.000Z	31 \| good	1.575 \| good	6.336 \| good	33.126 \| good	0.954 \| good	3.273 \| good	0.151 \| good
2025-10-24T21:00:00.000Z	31 \| good	1.832 \| good	7.748 \| good	32.881 \| good	0.842 \| good	3.489 \| good	0.15 \| good
2025-10-24T22:00:00.000Z	24 \| good	1.578 \| good	6.5 \| good	25.745 \| good	0.949 \| good	6.723 \| good	0.169 \| good
2025-10-24T23:00:00.000Z	19 \| good	2.273 \| good	9.545 \| good	20.651 \| good	1.056 \| good	9.957 \| good	0.187 \| good
2025-10-25T00:00:00.000Z	33 \| good	5.908 \| good	5.911 \| good	17.427 \| good	1.159 \| good	13.037 \| good	0.205 \| good
2025-10-25T01:00:00.000Z	20 \| good	0.975 \| good	3.887 \| good	21.813 \| good	1.103 \| good	12.161 \| good	0.196 \| good
2025-10-25T02:00:00.000Z	19 \| good	1.29 \| good	4.965 \| good	20.854 \| good	1.043 \| good	11.132 \| good	0.188 \| good
2025-10-25T03:00:00.000Z	20 \| good	0.706 \| good	2.728 \| good	21.796 \| good	0.982 \| good	10.102 \| good	0.179 \| good

ParsippanyTroy Hills

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ParsippanyTroy Hills, New Jersey air quality map: Real-time AQI near you

0.21ppm

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 Parsippanytroy Hills, New Jersey updated?

Air quality data for Parsippanytroy Hills, New Jersey is updated on an hourly basis.

When did Parsippanytroy Hills, New Jersey experience the worst air quality in the last 24 hours?

The worst air quality in Parsippanytroy Hills, New Jersey was recorded at 03:00:00 on 2025-10-22.

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

The best air quality in Parsippanytroy Hills, New Jersey was recorded at 02:00:00 on 2025-10-23.

What is the real-time air quality index for Parsippanytroy Hills, New Jersey?

The real-time air quality index in Parsippanytroy Hills, New Jersey is 22, currently categorized as Good.

Which pollutant is found most often in Parsippanytroy Hills, New Jersey?

The most common pollutant in Parsippanytroy Hills, New Jersey is PM2.5.

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

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

What are the current PM_2.5 levels in Parsippanytroy Hills, New Jersey?

The measured PM_2.5 levels in Parsippanytroy Hills, New Jersey at present are 4.105 μg/m³.

What are the current PM₁₀ levels at Parsippanytroy Hills, New Jersey?

The current PM₁₀ levels in Parsippanytroy Hills, New Jersey are 11.805 μg/m³.

What are the current carbon monoxide (CO) levels at Parsippanytroy Hills, New Jersey?

The current carbon monoxide (CO) level in Parsippanytroy Hills, New Jersey is 0.205 ppm.

What are the current sulfur dioxide (SO₂) levels at Parsippanytroy Hills, New Jersey?

The current sulfur dioxide (SO₂) levels in Parsippanytroy Hills, New Jersey are 0.249 ppb.

What are the current ozone (O₃) levels at Parsippanytroy Hills, New Jersey?

The current ozone (O₃) levels at Parsippanytroy Hills, New Jersey is 22.892 ppm.

What are the current nitrogen dioxide (NO₂) levels at Parsippanytroy Hills, New Jersey?

The current nitrogen dioxide (NO₂) levels at Parsippanytroy Hills, New Jersey is 7.791 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-21T04:00:00.000Z	33 \| good	5.671 \| good	16.807 \| good	23.457 \| good	0.227 \| good	5.12 \| good	0.157 \| good
2025-10-21T05:00:00.000Z	22 \| good	4.42 \| good	20.199 \| good	15.148 \| good	0.252 \| good	5.406 \| good	0.157 \| good
2025-10-21T06:00:00.000Z	16 \| good	3.248 \| good	13.84 \| good	15.084 \| good	0.242 \| good	7.64 \| good	0.106 \| good
2025-10-21T07:00:00.000Z	22 \| good	3.634 \| good	15.834 \| good	20.456 \| good	0.214 \| good	5.753 \| good	0.118 \| good
2025-10-21T08:00:00.000Z	19 \| good	3.02 \| good	15.267 \| good	21.087 \| good	0.23 \| good	4.136 \| good	0.13 \| good
2025-10-21T09:00:00.000Z	19 \| good	3.351 \| good	15.087 \| good	20.083 \| good	0.255 \| good	6.201 \| good	0.13 \| good
2025-10-21T10:00:00.000Z	18 \| good	3.432 \| good	15.289 \| good	18.559 \| good	0.668 \| good	9.563 \| good	0.189 \| good
2025-10-21T11:00:00.000Z	19 \| good	2.593 \| good	12.302 \| good	19.639 \| good	0.645 \| good	10.994 \| good	0.18 \| good
2025-10-21T12:00:00.000Z	27 \| good	5.009 \| good	13.56 \| good	14.477 \| good	0.683 \| good	14.645 \| good	0.274 \| good
2025-10-21T13:00:00.000Z	16 \| good	3.316 \| good	12.817 \| good	14.542 \| good	0.922 \| good	15.729 \| good	0.39 \| good
2025-10-21T14:00:00.000Z	27 \| good	4.96 \| good	21.301 \| good	14.337 \| good	0.975 \| good	13.632 \| good	0.404 \| good
2025-10-21T15:00:00.000Z	33 \| good	5.925 \| good	25.266 \| good	16.635 \| good	1.171 \| good	14.432 \| good	0.293 \| good
2025-10-21T16:00:00.000Z	27 \| good	5.224 \| good	23.279 \| good	22.219 \| good	1.26 \| good	9.561 \| good	0.286 \| good
2025-10-21T17:00:00.000Z	38 \| good	6.95 \| good	27.842 \| good	21.694 \| good	1.136 \| good	9.62 \| good	0.214 \| good
2025-10-21T18:00:00.000Z	25 \| good	4.448 \| good	14.377 \| good	26.864 \| good	0.817 \| good	11.068 \| good	0.203 \| good
2025-10-21T19:00:00.000Z	28 \| good	4.911 \| good	15.715 \| good	30.219 \| good	0.718 \| good	10.036 \| good	0.223 \| good
2025-10-21T20:00:00.000Z	31 \| good	4.568 \| good	18.299 \| good	34.255 \| good	0.373 \| good	11.663 \| good	0.223 \| good
2025-10-21T21:00:00.000Z	33 \| good	4.317 \| good	17.656 \| good	35.961 \| good	0.432 \| good	17.87 \| good	0.242 \| good
2025-10-21T22:00:00.000Z	30 \| good	4.859 \| good	23.896 \| good	31.999 \| good	0.4 \| good	9.504 \| good	0.242 \| good
2025-10-21T23:00:00.000Z	31 \| good	5.04 \| good	24.195 \| good	34.224 \| good	0.344 \| good	16.378 \| good	0.242 \| good
2025-10-22T00:00:00.000Z	34 \| good	5.038 \| good	21.997 \| good	36.976 \| good	0.354 \| good	16.385 \| good	0.248 \| good
2025-10-22T01:00:00.000Z	31 \| good	5.018 \| good	24.475 \| good	33.109 \| good	0.376 \| good	17.639 \| good	0.248 \| good
2025-10-22T02:00:00.000Z	34 \| good	6.357 \| good	27.581 \| good	36.508 \| good	0.2 \| good	12.621 \| good	0.171 \| good
2025-10-22T03:00:00.000Z	49 \| good	8.939 \| good	39.323 \| good	28.257 \| good	2.194 \| good	10.825 \| good	0.176 \| good
2025-10-22T04:00:00.000Z	33 \| good	5.85 \| good	29.985 \| good	33.297 \| good	0.298 \| good	11.503 \| good	0.177 \| good
2025-10-22T05:00:00.000Z	38 \| good	7.163 \| good	28.866 \| good	31.094 \| good	0.3 \| good	8.719 \| good	0.151 \| good
2025-10-22T06:00:00.000Z	44 \| good	7.914 \| good	35.448 \| good	29.314 \| good	0.29 \| good	11.506 \| good	0.151 \| good
2025-10-22T07:00:00.000Z	38 \| good	7.34 \| good	32.418 \| good	24.15 \| good	0.291 \| good	12.358 \| good	0.151 \| good
2025-10-22T08:00:00.000Z	38 \| good	7.462 \| good	30.157 \| good	27.577 \| good	0.303 \| good	12.704 \| good	0.14 \| good
2025-10-22T09:00:00.000Z	38 \| good	6.991 \| good	29.993 \| good	22.665 \| good	0.292 \| good	13.93 \| good	0.172 \| good
2025-10-22T10:00:00.000Z	38 \| good	7.341 \| good	34.147 \| good	17.366 \| good	0.274 \| good	19.224 \| good	0.297 \| good
2025-10-22T11:00:00.000Z	44 \| good	8.292 \| good	32.916 \| good	19.512 \| good	0.153 \| good	16.982 \| good	0.327 \| good
2025-10-22T12:00:00.000Z	49 \| good	8.719 \| good	39.093 \| good	17.202 \| good	0.191 \| good	12.226 \| good	0.323 \| good
2025-10-22T13:00:00.000Z	49 \| good	9.22 \| good	34.355 \| good	19.347 \| good	0.193 \| good	11.112 \| good	0.329 \| good
2025-10-22T14:00:00.000Z	56 \| moderate	11.689 \| good	42.732 \| good	22.637 \| good	0.301 \| good	6.883 \| good	0.268 \| good
2025-10-22T15:00:00.000Z	58 \| moderate	13.147 \| fine	56.823 \| fine	22.95 \| good	0.419 \| good	7.008 \| good	0.268 \| good
2025-10-22T16:00:00.000Z	38 \| good	7.107 \| good	28.542 \| good	25.136 \| good	0.551 \| good	5.252 \| good	0.151 \| good
2025-10-22T17:00:00.000Z	27 \| good	5.063 \| good	24.761 \| good	27.127 \| good	0.69 \| good	4.954 \| good	0.151 \| good
2025-10-22T18:00:00.000Z	27 \| good	4.871 \| good	24.455 \| good	27.629 \| good	0.273 \| good	5.007 \| good	0.106 \| good
2025-10-22T19:00:00.000Z	27 \| good	3.875 \| good	17.384 \| good	29.373 \| good	0.208 \| good	4.219 \| good	0.106 \| good
2025-10-22T20:00:00.000Z	29 \| good	2.232 \| good	13.204 \| good	30.755 \| good	0.231 \| good	6.772 \| good	0.18 \| good
2025-10-22T21:00:00.000Z	25 \| good	2.434 \| good	16.455 \| good	26.966 \| good	0.206 \| good	6.982 \| good	0.174 \| good
2025-10-22T22:00:00.000Z	25 \| good	2.512 \| good	10.631 \| good	26.76 \| good	0.183 \| good	4.962 \| good	0.174 \| good
2025-10-22T23:00:00.000Z	26 \| good	1.91 \| good	11.634 \| good	28.288 \| good	0.184 \| good	5.608 \| good	0.18 \| good
2025-10-23T00:00:00.000Z	22 \| good	4.074 \| good	16.906 \| good	22.457 \| good	0.201 \| good	7.532 \| good	0.186 \| good
2025-10-23T01:00:00.000Z	22 \| good	3.599 \| good	16.766 \| good	23.715 \| good	0.226 \| good	8.707 \| good	0.209 \| good
2025-10-23T02:00:00.000Z	22 \| good	3.829 \| good	14.866 \| good	22.115 \| good	0.248 \| good	6.911 \| good	0.209 \| good
2025-10-23T03:00:00.000Z	22 \| good	4.105 \| good	11.805 \| good	22.892 \| good	0.249 \| good	7.791 \| good	0.205 \| good
2025-10-23T04:00:00.000Z	38 \| good	6.841 \| good	30.148 \| good	22.906 \| good	2.077 \| good	10.405 \| good	0.18 \| good
2025-10-23T05:00:00.000Z	38 \| good	6.69 \| good	29.89 \| good	22.343 \| good	2.114 \| good	9.513 \| good	0.176 \| good
2025-10-23T06:00:00.000Z	33 \| good	6.157 \| good	27.517 \| good	21.331 \| good	2.152 \| good	8.62 \| good	0.171 \| good
2025-10-23T07:00:00.000Z	38 \| good	6.701 \| good	29.824 \| good	21.22 \| good	2.291 \| good	8.218 \| good	0.167 \| good
2025-10-23T08:00:00.000Z	33 \| good	6.397 \| good	28.769 \| good	19.624 \| good	2.431 \| good	7.817 \| good	0.164 \| good
2025-10-23T09:00:00.000Z	33 \| good	5.575 \| good	23.963 \| good	17.896 \| good	2.571 \| good	7.416 \| good	0.161 \| good
2025-10-23T10:00:00.000Z	27 \| good	5.118 \| good	22.118 \| good	14.728 \| good	2.719 \| good	8.506 \| good	0.171 \| good
2025-10-23T11:00:00.000Z	27 \| good	5.064 \| good	21.89 \| good	14.432 \| good	2.868 \| good	9.597 \| good	0.181 \| good
2025-10-23T12:00:00.000Z	22 \| good	3.748 \| good	16.274 \| good	18.715 \| good	3.017 \| good	10.688 \| good	0.191 \| good
2025-10-23T13:00:00.000Z	22 \| good	4.045 \| good	17.63 \| good	22.403 \| good	3.093 \| good	8.878 \| good	0.184 \| good
2025-10-23T14:00:00.000Z	22 \| good	3.508 \| good	15.374 \| good	23.838 \| good	3.169 \| good	7.069 \| good	0.177 \| good
2025-10-23T15:00:00.000Z	23 \| good	2.517 \| good	10.181 \| good	25.083 \| good	3.245 \| good	5.259 \| good	0.17 \| good
2025-10-23T16:00:00.000Z	24 \| good	2.383 \| good	9.844 \| good	25.946 \| good	2.853 \| good	4.592 \| good	0.162 \| good
2025-10-23T17:00:00.000Z	25 \| good	2.536 \| good	10.527 \| good	26.867 \| good	2.461 \| good	3.925 \| good	0.154 \| good
2025-10-23T18:00:00.000Z	23 \| good	2.302 \| good	9.508 \| good	25.449 \| good	2.07 \| good	3.257 \| good	0.147 \| good
2025-10-23T19:00:00.000Z	23 \| good	2.802 \| good	11.767 \| good	25.347 \| good	2.005 \| good	3.595 \| good	0.148 \| good
2025-10-23T20:00:00.000Z	25 \| good	1.838 \| good	7.668 \| good	27.183 \| good	1.941 \| good	3.934 \| good	0.148 \| good
2025-10-23T21:00:00.000Z	25 \| good	2.503 \| good	10.17 \| good	26.521 \| good	1.876 \| good	4.272 \| good	0.149 \| good
2025-10-23T22:00:00.000Z	24 \| good	1.204 \| good	4.935 \| good	25.764 \| good	1.985 \| good	7.045 \| good	0.165 \| good
2025-10-23T23:00:00.000Z	23 \| good	0.361 \| good	1.293 \| good	25.387 \| good	2.093 \| good	9.817 \| good	0.181 \| good
2025-10-24T00:00:00.000Z	22 \| good	1.876 \| good	7.863 \| good	24.08 \| good	2.201 \| good	12.59 \| good	0.197 \| good
2025-10-24T01:00:00.000Z	22 \| good	3.698 \| good	15.929 \| good	23.489 \| good	2.2 \| good	12.095 \| good	0.195 \| good
2025-10-24T02:00:00.000Z	27 \| good	4.909 \| good	21.376 \| good	20.277 \| good	2.199 \| good	11.599 \| good	0.193 \| good
2025-10-24T03:00:00.000Z	22 \| good	4.403 \| good	19.134 \| good	20.645 \| good	2.198 \| good	11.104 \| good	0.192 \| good
2025-10-24T04:00:00.000Z	22 \| good	4.149 \| good	18.08 \| good	21.804 \| good	2.001 \| good	9.729 \| good	0.184 \| good
2025-10-24T05:00:00.000Z	21 \| good	3.313 \| good	14.135 \| good	23.012 \| good	1.804 \| good	8.355 \| good	0.177 \| good
2025-10-24T06:00:00.000Z	19 \| good	2.139 \| good	8.727 \| good	21.142 \| good	1.608 \| good	6.98 \| good	0.17 \| good
2025-10-24T07:00:00.000Z	18 \| good	2.841 \| good	11.593 \| good	19.325 \| good	1.453 \| good	6.481 \| good	0.164 \| good
2025-10-24T08:00:00.000Z	16 \| good	2.631 \| good	10.956 \| good	16.591 \| good	1.298 \| good	5.982 \| good	0.157 \| good
2025-10-24T09:00:00.000Z	15 \| good	1.585 \| good	6.422 \| good	15.834 \| good	1.143 \| good	5.483 \| good	0.151 \| good
2025-10-24T10:00:00.000Z	11 \| good	1.051 \| good	4.059 \| good	12.34 \| good	1.177 \| good	7.217 \| good	0.164 \| good
2025-10-24T11:00:00.000Z	8 \| good	1.056 \| good	4.485 \| good	8.53 \| good	1.211 \| good	8.952 \| good	0.178 \| good
2025-10-24T12:00:00.000Z	12 \| good	1.28 \| good	4.942 \| good	12.871 \| good	1.245 \| good	10.686 \| good	0.191 \| good
2025-10-24T13:00:00.000Z	18 \| good	1.313 \| good	5.305 \| good	18.763 \| good	1.294 \| good	8.617 \| good	0.182 \| good
2025-10-24T14:00:00.000Z	20 \| good	1.739 \| good	7.126 \| good	21.866 \| good	1.343 \| good	6.547 \| good	0.173 \| good
2025-10-24T15:00:00.000Z	25 \| good	1.345 \| good	5.529 \| good	27.336 \| good	1.391 \| good	4.478 \| good	0.163 \| good
2025-10-24T16:00:00.000Z	29 \| good	1.072 \| good	4.285 \| good	30.977 \| good	1.32 \| good	3.932 \| good	0.159 \| good
2025-10-24T17:00:00.000Z	31 \| good	1.589 \| good	6.506 \| good	33.678 \| good	1.249 \| good	3.387 \| good	0.155 \| good
2025-10-24T18:00:00.000Z	31 \| good	1.537 \| good	6.502 \| good	33.768 \| good	1.178 \| good	2.842 \| good	0.151 \| good
2025-10-24T19:00:00.000Z	31 \| good	1.908 \| good	7.938 \| good	33.166 \| good	1.066 \| good	3.057 \| good	0.151 \| good
2025-10-24T20:00:00.000Z	31 \| good	1.575 \| good	6.336 \| good	33.126 \| good	0.954 \| good	3.273 \| good	0.151 \| good
2025-10-24T21:00:00.000Z	31 \| good	1.832 \| good	7.748 \| good	32.881 \| good	0.842 \| good	3.489 \| good	0.15 \| good
2025-10-24T22:00:00.000Z	24 \| good	1.578 \| good	6.5 \| good	25.745 \| good	0.949 \| good	6.723 \| good	0.169 \| good
2025-10-24T23:00:00.000Z	19 \| good	2.273 \| good	9.545 \| good	20.651 \| good	1.056 \| good	9.957 \| good	0.187 \| good
2025-10-25T00:00:00.000Z	33 \| good	5.908 \| good	5.911 \| good	17.427 \| good	1.159 \| good	13.037 \| good	0.205 \| good
2025-10-25T01:00:00.000Z	20 \| good	0.975 \| good	3.887 \| good	21.813 \| good	1.103 \| good	12.161 \| good	0.196 \| good
2025-10-25T02:00:00.000Z	19 \| good	1.29 \| good	4.965 \| good	20.854 \| good	1.043 \| good	11.132 \| good	0.188 \| good
2025-10-25T03:00:00.000Z	20 \| good	0.706 \| good	2.728 \| good	21.796 \| good	0.982 \| good	10.102 \| good	0.179 \| good

Real-time air quality index in ParsippanyTroy Hills, New Jersey today

Common air pollutants in ParsippanyTroy Hills, New Jersey

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live ParsippanyTroy Hills, New Jersey air quality forecast and history

Empower business decisions with accurate air quality data

ParsippanyTroy Hills, New Jersey air quality map: Real-time AQI near you

Air quality in nearby cities

ParsippanyTroy Hills, New Jersey

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East Hanover, New Jersey

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Florham Park, New Jersey

West Caldwell, New Jersey

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Air quality levels in US

Frequently asked questions

How frequently is the air quality data for Parsippanytroy Hills, New Jersey updated?

When did Parsippanytroy Hills, New Jersey experience the worst air quality in the last 24 hours?

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

What is the real-time air quality index for Parsippanytroy Hills, New Jersey?

Which pollutant is found most often in Parsippanytroy Hills, New Jersey?

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

What are the current PM2.5 levels in Parsippanytroy Hills, New Jersey?

What are the current PM10 levels at Parsippanytroy Hills, New Jersey?

What are the current carbon monoxide (CO) levels at Parsippanytroy Hills, New Jersey?

What are the current sulfur dioxide (SO2) levels at Parsippanytroy Hills, New Jersey?

What are the current ozone (O3) levels at Parsippanytroy Hills, New Jersey?

What are the current nitrogen dioxide (NO2) levels at Parsippanytroy Hills, 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 Parsippanytroy Hills, New Jersey?

What are the current PM₁₀ levels at Parsippanytroy Hills, New Jersey?

What are the current sulfur dioxide (SO₂) levels at Parsippanytroy Hills, New Jersey?

What are the current ozone (O₃) levels at Parsippanytroy Hills, New Jersey?

What are the current nitrogen dioxide (NO₂) levels at Parsippanytroy Hills, New Jersey?