What is the current concentration of PM10 in Monroe Township, New Jersey?

The current PM10 concentration at Monroe Township, New Jersey is 21.311 μg/m3.

What is the current concentration of sulfur dioxide (SO2) in Monroe Township, New Jersey?

The current sulfur dioxide (SO2) concentration at Monroe Township, New Jersey is 0.595 ppb.

What is the current concentration of ozone (O3) in Monroe Township, New Jersey?

The current ozone (O3) concentration at Monroe Township, New Jersey is 21.076 ppm.

What is the current concentration of nitrogen dioxide (NO2) in Monroe Township, New Jersey?

The current nitrogen dioxide (NO2) concentration at Monroe Township, New Jersey is 14.485 ppb.

Monroe Township, New Jersey live air quality index now

Q: What is the current concentration of PM2.5 in Monroe Township, New Jersey?

The current PM2.5 concentration at Monroe Township, New Jersey is 4.426 μg/m3.

Stay updated with real-time air quality in Monroe 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

Monroe Township, New Jersey

Last updated: ... (Local time)

Major air pollutants in Monroe Township, New Jersey

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

4.43 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

21.31 μg/m³

155

255

425

605+

Ozone (O₃)

21.08 ppb

201

201+

Sulfur Dioxide (SO₂)

0.59 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

14.48 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.36 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Looks like we don't have this data available right now

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Monroe Township, New Jersey

Scroll To Air Quality Map

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

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-03-11T15:00:00.000Z	62 \| moderate	15.119 \| fine	60.292 \| fine	31.019 \| good	1.348 \| good	13.558 \| good	0.49 \| good
2026-03-11T16:00:00.000Z	60 \| moderate	14.203 \| fine	59.274 \| fine	29.991 \| good	1.054 \| good	10.472 \| good	0.41 \| good
2026-03-11T17:00:00.000Z	66 \| moderate	16.524 \| fine	64.184 \| fine	28.72 \| good	0.815 \| good	7.645 \| good	0.404 \| good
2026-03-11T18:00:00.000Z	60 \| moderate	13.73 \| fine	56.163 \| fine	30.7 \| good	0.844 \| good	11.408 \| good	0.358 \| good
2026-03-11T19:00:00.000Z	56 \| moderate	11.692 \| good	50.913 \| good	33.046 \| good	0.902 \| good	8.067 \| good	0.344 \| good
2026-03-11T20:00:00.000Z	54 \| moderate	11.308 \| good	56.355 \| fine	37.795 \| good	0.885 \| good	11.031 \| good	0.317 \| good
2026-03-11T21:00:00.000Z	52 \| moderate	9.986 \| good	47.021 \| good	32.111 \| good	0.922 \| good	11.814 \| good	0.317 \| good
2026-03-11T22:00:00.000Z	49 \| good	9.183 \| good	46.314 \| good	30.185 \| good	0.942 \| good	9.289 \| good	0.317 \| good
2026-03-11T23:00:00.000Z	54 \| moderate	11.353 \| good	50.574 \| good	37.096 \| good	0.937 \| good	10.916 \| good	0.332 \| good
2026-03-12T00:00:00.000Z	58 \| moderate	13.436 \| fine	52.619 \| good	35.412 \| good	0.93 \| good	9.778 \| good	0.386 \| good
2026-03-12T01:00:00.000Z	54 \| moderate	11.258 \| good	48.067 \| good	28.093 \| good	0.739 \| good	11.136 \| good	0.353 \| good
2026-03-12T02:00:00.000Z	54 \| moderate	11.194 \| good	48.557 \| good	28.898 \| good	0.69 \| good	10.31 \| good	0.369 \| good
2026-03-12T03:00:00.000Z	54 \| moderate	11.213 \| good	44.9 \| good	28.893 \| good	0.612 \| good	7.593 \| good	0.48 \| good
2026-03-12T04:00:00.000Z	58 \| moderate	13.062 \| fine	52.735 \| good	30.783 \| good	0.611 \| good	8.204 \| good	0.42 \| good
2026-03-12T05:00:00.000Z	59 \| moderate	11.205 \| good	72.113 \| fine	27.276 \| good	0.603 \| good	10.239 \| good	0.342 \| good
2026-03-12T06:00:00.000Z	71 \| moderate	19.859 \| fine	74.184 \| fine	16.508 \| good	0.63 \| good	13.229 \| good	0.342 \| good
2026-03-12T07:00:00.000Z	52 \| moderate	9.592 \| good	39.449 \| good	17.805 \| good	0.659 \| good	13.016 \| good	0.356 \| good
2026-03-12T08:00:00.000Z	54 \| moderate	11.344 \| good	59.055 \| fine	21.32 \| good	0.822 \| good	15.723 \| good	0.369 \| good
2026-03-12T09:00:00.000Z	58 \| moderate	13.035 \| fine	63.755 \| fine	22.583 \| good	0.584 \| good	20.931 \| good	0.399 \| good
2026-03-12T10:00:00.000Z	73 \| moderate	14.729 \| fine	100.414 \| fine	7.241 \| good	0.844 \| good	22.266 \| good	0.466 \| good
2026-03-12T11:00:00.000Z	53 \| moderate	9.336 \| good	60.34 \| fine	8.168 \| good	0.751 \| good	23.199 \| good	0.439 \| good
2026-03-12T12:00:00.000Z	58 \| moderate	13.15 \| fine	46.459 \| good	15.053 \| good	0.73 \| good	15.79 \| good	0.39 \| good
2026-03-12T13:00:00.000Z	56 \| moderate	10.928 \| good	65.214 \| fine	6.496 \| good	0.592 \| good	9.586 \| good	0.301 \| good
2026-03-12T14:00:00.000Z	31 \| good	5.445 \| good	32.915 \| good	25.704 \| good	0.397 \| good	7.34 \| good	0.185 \| good
2026-03-12T15:00:00.000Z	26 \| good	2.548 \| good	12.269 \| good	28.423 \| good	0.453 \| good	7.417 \| good	0.185 \| good
2026-03-12T16:00:00.000Z	26 \| good	2.32 \| good	9.996 \| good	28.1 \| good	0.452 \| good	9.606 \| good	0.185 \| good
2026-03-12T17:00:00.000Z	29 \| good	2.094 \| good	7.531 \| good	30.76 \| good	0.36 \| good	10.879 \| good	0.216 \| good
2026-03-12T18:00:00.000Z	28 \| good	2.013 \| good	6.544 \| good	29.623 \| good	0.375 \| good	12.029 \| good	0.2 \| good
2026-03-12T19:00:00.000Z	30 \| good	2.486 \| good	7.387 \| good	31.544 \| good	0.247 \| good	12.872 \| good	0.251 \| good
2026-03-12T20:00:00.000Z	29 \| good	2.473 \| good	11.033 \| good	31.018 \| good	0.297 \| good	10.331 \| good	0.231 \| good
2026-03-12T21:00:00.000Z	28 \| good	3.067 \| good	14.85 \| good	29.833 \| good	0.329 \| good	8.586 \| good	0.22 \| good
2026-03-12T22:00:00.000Z	28 \| good	2.892 \| good	8.247 \| good	30.247 \| good	0.297 \| good	11.65 \| good	0.32 \| good
2026-03-12T23:00:00.000Z	29 \| good	3.346 \| good	14.186 \| good	31.213 \| good	0.281 \| good	11.645 \| good	0.293 \| good
2026-03-13T00:00:00.000Z	27 \| good	3.278 \| good	13.671 \| good	28.552 \| good	0.289 \| good	12.438 \| good	0.272 \| good
2026-03-13T01:00:00.000Z	26 \| good	3.061 \| good	16.379 \| good	27.911 \| good	0.333 \| good	14.004 \| good	0.288 \| good
2026-03-13T02:00:00.000Z	26 \| good	3.138 \| good	19.744 \| good	28.083 \| good	0.114 \| good	11.37 \| good	0.293 \| good
2026-03-13T03:00:00.000Z	27 \| good	3.433 \| good	14.271 \| good	28.787 \| good	0.613 \| good	7.875 \| good	0.291 \| good
2026-03-13T04:00:00.000Z	29 \| good	3.018 \| good	14.042 \| good	31.367 \| good	0.695 \| good	7.121 \| good	0.276 \| good
2026-03-13T05:00:00.000Z	27 \| good	2.912 \| good	11.816 \| good	29.124 \| good	0.213 \| good	6.377 \| good	0.202 \| good
2026-03-13T06:00:00.000Z	29 \| good	2.562 \| good	9.391 \| good	31.317 \| good	0.271 \| good	7.229 \| good	0.202 \| good
2026-03-13T07:00:00.000Z	29 \| good	3.05 \| good	12.191 \| good	30.521 \| good	0.303 \| good	6.647 \| good	0.202 \| good
2026-03-13T08:00:00.000Z	31 \| good	2.641 \| good	9.003 \| good	33.234 \| good	0.351 \| good	6.349 \| good	0.188 \| good
2026-03-13T09:00:00.000Z	29 \| good	3.799 \| good	17.376 \| good	30.831 \| good	0.341 \| good	16.307 \| good	0.236 \| good
2026-03-13T10:00:00.000Z	30 \| good	2.994 \| good	11.567 \| good	31.869 \| good	0.371 \| good	22.047 \| good	0.234 \| good
2026-03-13T11:00:00.000Z	26 \| good	3.333 \| good	14.707 \| good	28.463 \| good	0.452 \| good	24.563 \| good	0.325 \| good
2026-03-13T12:00:00.000Z	24 \| good	3.962 \| good	17.805 \| good	19.173 \| good	0.337 \| good	25.067 \| good	0.423 \| good
2026-03-13T13:00:00.000Z	25 \| good	3.876 \| good	17.036 \| good	22.498 \| good	0.715 \| good	26.454 \| good	0.465 \| good
2026-03-13T14:00:00.000Z	22 \| good	4.426 \| good	21.311 \| good	21.076 \| good	0.595 \| good	14.485 \| good	0.362 \| good
2026-03-13T14:00:00.000Z	22 \| good	4.426 \| good	21.311 \| good	21.076 \| good	0.595 \| good	14.485 \| good	0.362 \| good
2026-03-13T15:00:00.000Z	25 \| good	3.553 \| good	15.666 \| good	27.001 \| good	2.067 \| good	5.913 \| good	0.185 \| good
2026-03-13T16:00:00.000Z	30 \| good	2.922 \| good	11.852 \| good	31.824 \| good	1.89 \| good	5.444 \| good	0.179 \| good
2026-03-13T17:00:00.000Z	33 \| good	2.155 \| good	8.968 \| good	35.798 \| good	1.713 \| good	4.976 \| good	0.173 \| good
2026-03-13T18:00:00.000Z	37 \| good	3.851 \| good	16.782 \| good	39.626 \| good	1.537 \| good	4.507 \| good	0.167 \| good
2026-03-13T19:00:00.000Z	37 \| good	4.182 \| good	18.504 \| good	39.749 \| good	1.297 \| good	4.125 \| good	0.163 \| good
2026-03-13T20:00:00.000Z	38 \| good	4.375 \| good	19.09 \| good	41.214 \| good	1.057 \| good	3.743 \| good	0.16 \| good
2026-03-13T21:00:00.000Z	37 \| good	4.648 \| good	20.326 \| good	39.561 \| good	0.817 \| good	3.361 \| good	0.157 \| good
2026-03-13T22:00:00.000Z	37 \| good	3.461 \| good	15.108 \| good	40.164 \| good	0.771 \| good	3.826 \| good	0.157 \| good
2026-03-13T23:00:00.000Z	37 \| good	3.79 \| good	16.649 \| good	39.841 \| good	0.725 \| good	4.29 \| good	0.156 \| good
2026-03-14T00:00:00.000Z	34 \| good	2.444 \| good	10.036 \| good	37.366 \| good	0.678 \| good	4.755 \| good	0.156 \| good
2026-03-14T01:00:00.000Z	32 \| good	2.972 \| good	12.107 \| good	35.424 \| good	0.781 \| good	4.616 \| good	0.154 \| good
2026-03-14T02:00:00.000Z	35 \| good	2.297 \| good	9.382 \| good	38.348 \| good	0.883 \| good	4.478 \| good	0.153 \| good
2026-03-14T03:00:00.000Z	36 \| good	3.653 \| good	16.093 \| good	39.019 \| good	0.985 \| good	4.34 \| good	0.151 \| good
2026-03-14T04:00:00.000Z	36 \| good	4.481 \| good	19.272 \| good	39.237 \| good	1.252 \| good	4.391 \| good	0.153 \| good
2026-03-14T05:00:00.000Z	36 \| good	5.487 \| good	23.126 \| good	39.377 \| good	1.519 \| good	4.442 \| good	0.155 \| good
2026-03-14T06:00:00.000Z	26 \| good	4.5 \| good	19.439 \| good	28.136 \| good	1.786 \| good	4.493 \| good	0.157 \| good
2026-03-14T07:00:00.000Z	28 \| good	5.256 \| good	22.456 \| good	29.799 \| good	1.923 \| good	4.734 \| good	0.158 \| good
2026-03-14T08:00:00.000Z	28 \| good	4.775 \| good	20.657 \| good	30.116 \| good	2.06 \| good	4.974 \| good	0.159 \| good
2026-03-14T09:00:00.000Z	30 \| good	5.248 \| good	22.637 \| good	31.704 \| good	2.196 \| good	5.215 \| good	0.159 \| good
2026-03-14T10:00:00.000Z	33 \| good	5.963 \| good	26.813 \| good	32.206 \| good	2.173 \| good	5.329 \| good	0.16 \| good
2026-03-14T11:00:00.000Z	31 \| good	4.252 \| good	18.964 \| good	33.684 \| good	2.15 \| good	5.442 \| good	0.16 \| good
2026-03-14T12:00:00.000Z	33 \| good	5.536 \| good	23.931 \| good	33.916 \| good	2.126 \| good	5.556 \| good	0.16 \| good
2026-03-14T13:00:00.000Z	33 \| good	5.289 \| good	22.768 \| good	35.797 \| good	1.917 \| good	4.644 \| good	0.162 \| good
2026-03-14T14:00:00.000Z	33 \| good	4.135 \| good	18.093 \| good	35.875 \| good	1.708 \| good	3.731 \| good	0.164 \| good
2026-03-14T15:00:00.000Z	34 \| good	3.976 \| good	17.365 \| good	37.164 \| good	1.499 \| good	2.819 \| good	0.166 \| good
2026-03-14T16:00:00.000Z	36 \| good	3.047 \| good	12.521 \| good	38.809 \| good	1.499 \| good	2.491 \| good	0.169 \| good
2026-03-14T17:00:00.000Z	38 \| good	2.321 \| good	9.675 \| good	40.886 \| good	1.498 \| good	2.164 \| good	0.172 \| good
2026-03-14T18:00:00.000Z	37 \| good	3.059 \| good	13.074 \| good	39.502 \| good	1.498 \| good	1.836 \| good	0.175 \| good
2026-03-14T19:00:00.000Z	36 \| good	2.293 \| good	9.331 \| good	39.124 \| good	1.399 \| good	1.915 \| good	0.172 \| good
2026-03-14T20:00:00.000Z	36 \| good	1.322 \| good	5.133 \| good	39.199 \| good	1.301 \| good	1.995 \| good	0.169 \| good
2026-03-14T21:00:00.000Z	35 \| good	1.958 \| good	7.915 \| good	38.332 \| good	1.202 \| good	2.074 \| good	0.166 \| good
2026-03-14T22:00:00.000Z	33 \| good	2.638 \| good	10.536 \| good	36.349 \| good	1.197 \| good	3.525 \| good	0.171 \| good
2026-03-14T23:00:00.000Z	29 \| good	4.439 \| good	19.449 \| good	31.084 \| good	1.192 \| good	4.976 \| good	0.175 \| good
2026-03-15T00:00:00.000Z	22 \| good	4.009 \| good	17.571 \| good	24.39 \| good	1.187 \| good	6.428 \| good	0.179 \| good
2026-03-15T01:00:00.000Z	27 \| good	4.742 \| good	20.449 \| good	17.236 \| good	1.174 \| good	6.617 \| good	0.178 \| good
2026-03-15T02:00:00.000Z	22 \| good	4.311 \| good	19.049 \| good	19.735 \| good	1.161 \| good	6.805 \| good	0.177 \| good
2026-03-15T03:00:00.000Z	27 \| good	4.996 \| good	21.479 \| good	18.151 \| good	1.148 \| good	6.994 \| good	0.176 \| good
2026-03-15T04:00:00.000Z	22 \| good	4.165 \| good	18.029 \| good	18.181 \| good	1.101 \| good	6.65 \| good	0.174 \| good
2026-03-15T05:00:00.000Z	22 \| good	3.951 \| good	17.137 \| good	19.677 \| good	1.055 \| good	6.305 \| good	0.173 \| good
2026-03-15T06:00:00.000Z	22 \| good	3.676 \| good	16 \| good	15.603 \| good	1.008 \| good	5.961 \| good	0.171 \| good
2026-03-15T07:00:00.000Z	22 \| good	3.763 \| good	16.403 \| good	13.128 \| good	1.084 \| good	6.208 \| good	0.171 \| good
2026-03-15T08:00:00.000Z	22 \| good	4.183 \| good	18.444 \| good	10.682 \| good	1.159 \| good	6.455 \| good	0.171 \| good
2026-03-15T09:00:00.000Z	33 \| good	6.162 \| good	27.312 \| good	9.857 \| good	1.235 \| good	6.702 \| good	0.17 \| good
2026-03-15T10:00:00.000Z	38 \| good	6.699 \| good	29.844 \| good	22 \| good	1.562 \| good	8.665 \| good	0.177 \| good
2026-03-15T11:00:00.000Z	27 \| good	5.492 \| good	23.871 \| good	21.672 \| good	1.89 \| good	10.628 \| good	0.183 \| good
2026-03-15T12:00:00.000Z	49 \| good	9.269 \| good	9.518 \| good	27.683 \| good	2.249 \| good	12.812 \| good	0.19 \| good
2026-03-15T13:00:00.000Z	49 \| good	9.137 \| good	9.513 \| good	30.992 \| good	2.13 \| good	11.291 \| good	0.187 \| good
2026-03-15T14:00:00.000Z	44 \| good	8.195 \| good	8.649 \| good	34.302 \| good	2.011 \| good	9.77 \| good	0.184 \| good

Monroe township

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Monroe Township, New Jersey air quality map: Track AQI near you

0.46ppm

How accurate is New Jersey, USA air quality data?

Air quality data and pollutant measurements for New Jersey, USA adhere to strict US EPA standards. The data is collected from multiple reliable sources, including satellites and ground-based monitoring stations. This data is further analyzed and enhanced using machine learning and advanced algorithms that factor in elements such as traffic and population density, ensuring accurate and reliable results.

Source: Ambee Data Sources

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Frequently asked questions

How often is the air quality data for Monroe Township, New Jersey updated?

The air quality for Monroe Township, New Jersey is updated every hour.

When was the worst air quality at Monroe Township, New Jersey in the last 24 hrs?

The worst air quality in Monroe Township, New Jersey in the last 24 hours was observed at 08:00:00 on 2026-03-13.

When was the best air quality at Monroe Township, New Jersey in the last 24 hrs?

In the last 24 hrs, the best air quality in Monroe Township, New Jersey was observed at 12:00:00 on 2026-03-13.

What is the current air quality in Monroe Township, New Jersey?

The current air quality in Monroe Township, New Jersey is 22, categorized as Good based on real-time data.

What pollutant is the most common in Monroe Township, New Jersey?

The most common pollutant in Monroe Township, New Jersey is PM2.5.

What should I do if the air quality in Monroe Township, New Jersey is poor?

If the air quality in Monroe Township, New Jersey is poor, consider staying indoors and wearing a mask to protect yourself.

What is the current concentration of PM_2.5 in Monroe Township, New Jersey?

The current PM_2.5 concentration at Monroe Township, New Jersey is 4.426 μg/m³.

What is the current concentration of PM₁₀ in Monroe Township, New Jersey?

The current PM₁₀ concentration at Monroe Township, New Jersey is 21.311 μg/m³.

What is the current concentration of carbon monoxide (CO) in Monroe Township, New Jersey?

The current carbon monoxide (CO) concentration at Monroe Township, New Jersey is 0.362 ppm.

What is the current concentration of sulfur dioxide (SO₂) in Monroe Township, New Jersey?

The current sulfur dioxide (SO₂) concentration at Monroe Township, New Jersey is 0.595 ppb.

What is the current concentration of ozone (O₃) in Monroe Township, New Jersey?

The current ozone (O₃) concentration at Monroe Township, New Jersey is 21.076 ppm.

What is the current concentration of nitrogen dioxide (NO₂) in Monroe Township, New Jersey?

The current nitrogen dioxide (NO₂) concentration at Monroe Township, New Jersey is 14.485 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-03-11T15:00:00.000Z	62 \| moderate	15.119 \| fine	60.292 \| fine	31.019 \| good	1.348 \| good	13.558 \| good	0.49 \| good
2026-03-11T16:00:00.000Z	60 \| moderate	14.203 \| fine	59.274 \| fine	29.991 \| good	1.054 \| good	10.472 \| good	0.41 \| good
2026-03-11T17:00:00.000Z	66 \| moderate	16.524 \| fine	64.184 \| fine	28.72 \| good	0.815 \| good	7.645 \| good	0.404 \| good
2026-03-11T18:00:00.000Z	60 \| moderate	13.73 \| fine	56.163 \| fine	30.7 \| good	0.844 \| good	11.408 \| good	0.358 \| good
2026-03-11T19:00:00.000Z	56 \| moderate	11.692 \| good	50.913 \| good	33.046 \| good	0.902 \| good	8.067 \| good	0.344 \| good
2026-03-11T20:00:00.000Z	54 \| moderate	11.308 \| good	56.355 \| fine	37.795 \| good	0.885 \| good	11.031 \| good	0.317 \| good
2026-03-11T21:00:00.000Z	52 \| moderate	9.986 \| good	47.021 \| good	32.111 \| good	0.922 \| good	11.814 \| good	0.317 \| good
2026-03-11T22:00:00.000Z	49 \| good	9.183 \| good	46.314 \| good	30.185 \| good	0.942 \| good	9.289 \| good	0.317 \| good
2026-03-11T23:00:00.000Z	54 \| moderate	11.353 \| good	50.574 \| good	37.096 \| good	0.937 \| good	10.916 \| good	0.332 \| good
2026-03-12T00:00:00.000Z	58 \| moderate	13.436 \| fine	52.619 \| good	35.412 \| good	0.93 \| good	9.778 \| good	0.386 \| good
2026-03-12T01:00:00.000Z	54 \| moderate	11.258 \| good	48.067 \| good	28.093 \| good	0.739 \| good	11.136 \| good	0.353 \| good
2026-03-12T02:00:00.000Z	54 \| moderate	11.194 \| good	48.557 \| good	28.898 \| good	0.69 \| good	10.31 \| good	0.369 \| good
2026-03-12T03:00:00.000Z	54 \| moderate	11.213 \| good	44.9 \| good	28.893 \| good	0.612 \| good	7.593 \| good	0.48 \| good
2026-03-12T04:00:00.000Z	58 \| moderate	13.062 \| fine	52.735 \| good	30.783 \| good	0.611 \| good	8.204 \| good	0.42 \| good
2026-03-12T05:00:00.000Z	59 \| moderate	11.205 \| good	72.113 \| fine	27.276 \| good	0.603 \| good	10.239 \| good	0.342 \| good
2026-03-12T06:00:00.000Z	71 \| moderate	19.859 \| fine	74.184 \| fine	16.508 \| good	0.63 \| good	13.229 \| good	0.342 \| good
2026-03-12T07:00:00.000Z	52 \| moderate	9.592 \| good	39.449 \| good	17.805 \| good	0.659 \| good	13.016 \| good	0.356 \| good
2026-03-12T08:00:00.000Z	54 \| moderate	11.344 \| good	59.055 \| fine	21.32 \| good	0.822 \| good	15.723 \| good	0.369 \| good
2026-03-12T09:00:00.000Z	58 \| moderate	13.035 \| fine	63.755 \| fine	22.583 \| good	0.584 \| good	20.931 \| good	0.399 \| good
2026-03-12T10:00:00.000Z	73 \| moderate	14.729 \| fine	100.414 \| fine	7.241 \| good	0.844 \| good	22.266 \| good	0.466 \| good
2026-03-12T11:00:00.000Z	53 \| moderate	9.336 \| good	60.34 \| fine	8.168 \| good	0.751 \| good	23.199 \| good	0.439 \| good
2026-03-12T12:00:00.000Z	58 \| moderate	13.15 \| fine	46.459 \| good	15.053 \| good	0.73 \| good	15.79 \| good	0.39 \| good
2026-03-12T13:00:00.000Z	56 \| moderate	10.928 \| good	65.214 \| fine	6.496 \| good	0.592 \| good	9.586 \| good	0.301 \| good
2026-03-12T14:00:00.000Z	31 \| good	5.445 \| good	32.915 \| good	25.704 \| good	0.397 \| good	7.34 \| good	0.185 \| good
2026-03-12T15:00:00.000Z	26 \| good	2.548 \| good	12.269 \| good	28.423 \| good	0.453 \| good	7.417 \| good	0.185 \| good
2026-03-12T16:00:00.000Z	26 \| good	2.32 \| good	9.996 \| good	28.1 \| good	0.452 \| good	9.606 \| good	0.185 \| good
2026-03-12T17:00:00.000Z	29 \| good	2.094 \| good	7.531 \| good	30.76 \| good	0.36 \| good	10.879 \| good	0.216 \| good
2026-03-12T18:00:00.000Z	28 \| good	2.013 \| good	6.544 \| good	29.623 \| good	0.375 \| good	12.029 \| good	0.2 \| good
2026-03-12T19:00:00.000Z	30 \| good	2.486 \| good	7.387 \| good	31.544 \| good	0.247 \| good	12.872 \| good	0.251 \| good
2026-03-12T20:00:00.000Z	29 \| good	2.473 \| good	11.033 \| good	31.018 \| good	0.297 \| good	10.331 \| good	0.231 \| good
2026-03-12T21:00:00.000Z	28 \| good	3.067 \| good	14.85 \| good	29.833 \| good	0.329 \| good	8.586 \| good	0.22 \| good
2026-03-12T22:00:00.000Z	28 \| good	2.892 \| good	8.247 \| good	30.247 \| good	0.297 \| good	11.65 \| good	0.32 \| good
2026-03-12T23:00:00.000Z	29 \| good	3.346 \| good	14.186 \| good	31.213 \| good	0.281 \| good	11.645 \| good	0.293 \| good
2026-03-13T00:00:00.000Z	27 \| good	3.278 \| good	13.671 \| good	28.552 \| good	0.289 \| good	12.438 \| good	0.272 \| good
2026-03-13T01:00:00.000Z	26 \| good	3.061 \| good	16.379 \| good	27.911 \| good	0.333 \| good	14.004 \| good	0.288 \| good
2026-03-13T02:00:00.000Z	26 \| good	3.138 \| good	19.744 \| good	28.083 \| good	0.114 \| good	11.37 \| good	0.293 \| good
2026-03-13T03:00:00.000Z	27 \| good	3.433 \| good	14.271 \| good	28.787 \| good	0.613 \| good	7.875 \| good	0.291 \| good
2026-03-13T04:00:00.000Z	29 \| good	3.018 \| good	14.042 \| good	31.367 \| good	0.695 \| good	7.121 \| good	0.276 \| good
2026-03-13T05:00:00.000Z	27 \| good	2.912 \| good	11.816 \| good	29.124 \| good	0.213 \| good	6.377 \| good	0.202 \| good
2026-03-13T06:00:00.000Z	29 \| good	2.562 \| good	9.391 \| good	31.317 \| good	0.271 \| good	7.229 \| good	0.202 \| good
2026-03-13T07:00:00.000Z	29 \| good	3.05 \| good	12.191 \| good	30.521 \| good	0.303 \| good	6.647 \| good	0.202 \| good
2026-03-13T08:00:00.000Z	31 \| good	2.641 \| good	9.003 \| good	33.234 \| good	0.351 \| good	6.349 \| good	0.188 \| good
2026-03-13T09:00:00.000Z	29 \| good	3.799 \| good	17.376 \| good	30.831 \| good	0.341 \| good	16.307 \| good	0.236 \| good
2026-03-13T10:00:00.000Z	30 \| good	2.994 \| good	11.567 \| good	31.869 \| good	0.371 \| good	22.047 \| good	0.234 \| good
2026-03-13T11:00:00.000Z	26 \| good	3.333 \| good	14.707 \| good	28.463 \| good	0.452 \| good	24.563 \| good	0.325 \| good
2026-03-13T12:00:00.000Z	24 \| good	3.962 \| good	17.805 \| good	19.173 \| good	0.337 \| good	25.067 \| good	0.423 \| good
2026-03-13T13:00:00.000Z	25 \| good	3.876 \| good	17.036 \| good	22.498 \| good	0.715 \| good	26.454 \| good	0.465 \| good
2026-03-13T14:00:00.000Z	22 \| good	4.426 \| good	21.311 \| good	21.076 \| good	0.595 \| good	14.485 \| good	0.362 \| good
2026-03-13T14:00:00.000Z	22 \| good	4.426 \| good	21.311 \| good	21.076 \| good	0.595 \| good	14.485 \| good	0.362 \| good
2026-03-13T15:00:00.000Z	25 \| good	3.553 \| good	15.666 \| good	27.001 \| good	2.067 \| good	5.913 \| good	0.185 \| good
2026-03-13T16:00:00.000Z	30 \| good	2.922 \| good	11.852 \| good	31.824 \| good	1.89 \| good	5.444 \| good	0.179 \| good
2026-03-13T17:00:00.000Z	33 \| good	2.155 \| good	8.968 \| good	35.798 \| good	1.713 \| good	4.976 \| good	0.173 \| good
2026-03-13T18:00:00.000Z	37 \| good	3.851 \| good	16.782 \| good	39.626 \| good	1.537 \| good	4.507 \| good	0.167 \| good
2026-03-13T19:00:00.000Z	37 \| good	4.182 \| good	18.504 \| good	39.749 \| good	1.297 \| good	4.125 \| good	0.163 \| good
2026-03-13T20:00:00.000Z	38 \| good	4.375 \| good	19.09 \| good	41.214 \| good	1.057 \| good	3.743 \| good	0.16 \| good
2026-03-13T21:00:00.000Z	37 \| good	4.648 \| good	20.326 \| good	39.561 \| good	0.817 \| good	3.361 \| good	0.157 \| good
2026-03-13T22:00:00.000Z	37 \| good	3.461 \| good	15.108 \| good	40.164 \| good	0.771 \| good	3.826 \| good	0.157 \| good
2026-03-13T23:00:00.000Z	37 \| good	3.79 \| good	16.649 \| good	39.841 \| good	0.725 \| good	4.29 \| good	0.156 \| good
2026-03-14T00:00:00.000Z	34 \| good	2.444 \| good	10.036 \| good	37.366 \| good	0.678 \| good	4.755 \| good	0.156 \| good
2026-03-14T01:00:00.000Z	32 \| good	2.972 \| good	12.107 \| good	35.424 \| good	0.781 \| good	4.616 \| good	0.154 \| good
2026-03-14T02:00:00.000Z	35 \| good	2.297 \| good	9.382 \| good	38.348 \| good	0.883 \| good	4.478 \| good	0.153 \| good
2026-03-14T03:00:00.000Z	36 \| good	3.653 \| good	16.093 \| good	39.019 \| good	0.985 \| good	4.34 \| good	0.151 \| good
2026-03-14T04:00:00.000Z	36 \| good	4.481 \| good	19.272 \| good	39.237 \| good	1.252 \| good	4.391 \| good	0.153 \| good
2026-03-14T05:00:00.000Z	36 \| good	5.487 \| good	23.126 \| good	39.377 \| good	1.519 \| good	4.442 \| good	0.155 \| good
2026-03-14T06:00:00.000Z	26 \| good	4.5 \| good	19.439 \| good	28.136 \| good	1.786 \| good	4.493 \| good	0.157 \| good
2026-03-14T07:00:00.000Z	28 \| good	5.256 \| good	22.456 \| good	29.799 \| good	1.923 \| good	4.734 \| good	0.158 \| good
2026-03-14T08:00:00.000Z	28 \| good	4.775 \| good	20.657 \| good	30.116 \| good	2.06 \| good	4.974 \| good	0.159 \| good
2026-03-14T09:00:00.000Z	30 \| good	5.248 \| good	22.637 \| good	31.704 \| good	2.196 \| good	5.215 \| good	0.159 \| good
2026-03-14T10:00:00.000Z	33 \| good	5.963 \| good	26.813 \| good	32.206 \| good	2.173 \| good	5.329 \| good	0.16 \| good
2026-03-14T11:00:00.000Z	31 \| good	4.252 \| good	18.964 \| good	33.684 \| good	2.15 \| good	5.442 \| good	0.16 \| good
2026-03-14T12:00:00.000Z	33 \| good	5.536 \| good	23.931 \| good	33.916 \| good	2.126 \| good	5.556 \| good	0.16 \| good
2026-03-14T13:00:00.000Z	33 \| good	5.289 \| good	22.768 \| good	35.797 \| good	1.917 \| good	4.644 \| good	0.162 \| good
2026-03-14T14:00:00.000Z	33 \| good	4.135 \| good	18.093 \| good	35.875 \| good	1.708 \| good	3.731 \| good	0.164 \| good
2026-03-14T15:00:00.000Z	34 \| good	3.976 \| good	17.365 \| good	37.164 \| good	1.499 \| good	2.819 \| good	0.166 \| good
2026-03-14T16:00:00.000Z	36 \| good	3.047 \| good	12.521 \| good	38.809 \| good	1.499 \| good	2.491 \| good	0.169 \| good
2026-03-14T17:00:00.000Z	38 \| good	2.321 \| good	9.675 \| good	40.886 \| good	1.498 \| good	2.164 \| good	0.172 \| good
2026-03-14T18:00:00.000Z	37 \| good	3.059 \| good	13.074 \| good	39.502 \| good	1.498 \| good	1.836 \| good	0.175 \| good
2026-03-14T19:00:00.000Z	36 \| good	2.293 \| good	9.331 \| good	39.124 \| good	1.399 \| good	1.915 \| good	0.172 \| good
2026-03-14T20:00:00.000Z	36 \| good	1.322 \| good	5.133 \| good	39.199 \| good	1.301 \| good	1.995 \| good	0.169 \| good
2026-03-14T21:00:00.000Z	35 \| good	1.958 \| good	7.915 \| good	38.332 \| good	1.202 \| good	2.074 \| good	0.166 \| good
2026-03-14T22:00:00.000Z	33 \| good	2.638 \| good	10.536 \| good	36.349 \| good	1.197 \| good	3.525 \| good	0.171 \| good
2026-03-14T23:00:00.000Z	29 \| good	4.439 \| good	19.449 \| good	31.084 \| good	1.192 \| good	4.976 \| good	0.175 \| good
2026-03-15T00:00:00.000Z	22 \| good	4.009 \| good	17.571 \| good	24.39 \| good	1.187 \| good	6.428 \| good	0.179 \| good
2026-03-15T01:00:00.000Z	27 \| good	4.742 \| good	20.449 \| good	17.236 \| good	1.174 \| good	6.617 \| good	0.178 \| good
2026-03-15T02:00:00.000Z	22 \| good	4.311 \| good	19.049 \| good	19.735 \| good	1.161 \| good	6.805 \| good	0.177 \| good
2026-03-15T03:00:00.000Z	27 \| good	4.996 \| good	21.479 \| good	18.151 \| good	1.148 \| good	6.994 \| good	0.176 \| good
2026-03-15T04:00:00.000Z	22 \| good	4.165 \| good	18.029 \| good	18.181 \| good	1.101 \| good	6.65 \| good	0.174 \| good
2026-03-15T05:00:00.000Z	22 \| good	3.951 \| good	17.137 \| good	19.677 \| good	1.055 \| good	6.305 \| good	0.173 \| good
2026-03-15T06:00:00.000Z	22 \| good	3.676 \| good	16 \| good	15.603 \| good	1.008 \| good	5.961 \| good	0.171 \| good
2026-03-15T07:00:00.000Z	22 \| good	3.763 \| good	16.403 \| good	13.128 \| good	1.084 \| good	6.208 \| good	0.171 \| good
2026-03-15T08:00:00.000Z	22 \| good	4.183 \| good	18.444 \| good	10.682 \| good	1.159 \| good	6.455 \| good	0.171 \| good
2026-03-15T09:00:00.000Z	33 \| good	6.162 \| good	27.312 \| good	9.857 \| good	1.235 \| good	6.702 \| good	0.17 \| good
2026-03-15T10:00:00.000Z	38 \| good	6.699 \| good	29.844 \| good	22 \| good	1.562 \| good	8.665 \| good	0.177 \| good
2026-03-15T11:00:00.000Z	27 \| good	5.492 \| good	23.871 \| good	21.672 \| good	1.89 \| good	10.628 \| good	0.183 \| good
2026-03-15T12:00:00.000Z	49 \| good	9.269 \| good	9.518 \| good	27.683 \| good	2.249 \| good	12.812 \| good	0.19 \| good
2026-03-15T13:00:00.000Z	49 \| good	9.137 \| good	9.513 \| good	30.992 \| good	2.13 \| good	11.291 \| good	0.187 \| good
2026-03-15T14:00:00.000Z	44 \| good	8.195 \| good	8.649 \| good	34.302 \| good	2.011 \| good	9.77 \| good	0.184 \| good

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Major air pollutants in Monroe Township, New Jersey

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

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