Current air quality index in North Plainfield, New Jersey today

Stay updated with real-time air quality in North Plainfield, 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

North Plainfield, New Jersey

Last updated: ... (Local time)

Common air pollutants in North Plainfield, New Jersey

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

3.70 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

17.39 μg/m³

155

255

425

605+

Ozone (O₃)

13.52 ppb

201

201+

Sulfur Dioxide (SO₂)

0.25 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

10.19 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.23 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

North Plainfield, New Jersey

Get Live Pollen Counts

North Plainfield, New Jersey

Scroll To Air Quality Map

Track live North Plainfield, New Jersey air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-21T12:00:00.000Z	33 \| good	5.536 \| good	17.497 \| good	13.354 \| good	0.691 \| good	15.251 \| good	0.286 \| good
2025-10-21T13:00:00.000Z	22 \| good	3.991 \| good	16.754 \| good	10.907 \| good	0.909 \| good	16.536 \| good	0.392 \| good
2025-10-21T14:00:00.000Z	22 \| good	4.421 \| good	20.653 \| good	13.441 \| good	0.977 \| good	13.509 \| good	0.401 \| good
2025-10-21T15:00:00.000Z	22 \| good	3.964 \| good	24.334 \| good	16.303 \| good	1.251 \| good	14.472 \| good	0.282 \| good
2025-10-21T16:00:00.000Z	33 \| good	6.151 \| good	23.758 \| good	20.271 \| good	1.425 \| good	13.191 \| good	0.272 \| good
2025-10-21T17:00:00.000Z	38 \| good	7.064 \| good	27.237 \| good	22.93 \| good	1.209 \| good	9.378 \| good	0.22 \| good
2025-10-21T18:00:00.000Z	33 \| good	5.839 \| good	28.953 \| good	28.03 \| good	0.844 \| good	6.131 \| good	0.197 \| good
2025-10-21T19:00:00.000Z	33 \| good	5.524 \| good	29.616 \| good	30.138 \| good	0.76 \| good	5.56 \| good	0.215 \| good
2025-10-21T20:00:00.000Z	31 \| good	4.546 \| good	18.004 \| good	34.104 \| good	0.386 \| good	6.415 \| good	0.215 \| good
2025-10-21T21:00:00.000Z	33 \| good	4.585 \| good	16.886 \| good	36.16 \| good	0.347 \| good	10.889 \| good	0.236 \| good
2025-10-21T22:00:00.000Z	33 \| good	2.937 \| good	11.478 \| good	36.312 \| good	0.361 \| good	16.02 \| good	0.236 \| good
2025-10-21T23:00:00.000Z	31 \| good	4.358 \| good	19.148 \| good	34.365 \| good	0.327 \| good	23.322 \| good	0.236 \| good
2025-10-22T00:00:00.000Z	34 \| good	5.237 \| good	22.544 \| good	36.566 \| good	0.348 \| good	14.495 \| good	0.246 \| good
2025-10-22T01:00:00.000Z	31 \| good	4.456 \| good	20.388 \| good	32.907 \| good	0.376 \| good	18.028 \| good	0.246 \| good
2025-10-22T02:00:00.000Z	36 \| good	4.557 \| good	18.983 \| good	38.612 \| good	0.211 \| good	14.208 \| good	0.176 \| good
2025-10-22T03:00:00.000Z	49 \| good	9.333 \| good	41.886 \| good	31.483 \| good	2.041 \| good	9.574 \| good	0.173 \| good
2025-10-22T04:00:00.000Z	33 \| good	5.446 \| good	22.707 \| good	35.908 \| good	0.307 \| good	15.653 \| good	0.186 \| good
2025-10-22T05:00:00.000Z	38 \| good	6.978 \| good	32.948 \| good	33.406 \| good	0.306 \| good	10.304 \| good	0.159 \| good
2025-10-22T06:00:00.000Z	38 \| good	7.432 \| good	31.861 \| good	28.134 \| good	0.292 \| good	11.507 \| good	0.159 \| good
2025-10-22T07:00:00.000Z	44 \| good	8.062 \| good	34.069 \| good	24.191 \| good	0.292 \| good	14.097 \| good	0.159 \| good
2025-10-22T08:00:00.000Z	44 \| good	8.425 \| good	37.67 \| good	26.234 \| good	0.304 \| good	15.539 \| good	0.141 \| good
2025-10-22T09:00:00.000Z	44 \| good	7.882 \| good	34.85 \| good	21.072 \| good	0.293 \| good	15.53 \| good	0.177 \| good
2025-10-22T10:00:00.000Z	38 \| good	7.137 \| good	34.927 \| good	19.306 \| good	0.279 \| good	15.273 \| good	0.287 \| good
2025-10-22T11:00:00.000Z	44 \| good	7.858 \| good	36.222 \| good	17.419 \| good	0.167 \| good	15.562 \| good	0.316 \| good
2025-10-22T12:00:00.000Z	44 \| good	7.982 \| good	27.759 \| good	19.43 \| good	0.19 \| good	12.581 \| good	0.315 \| good
2025-10-22T13:00:00.000Z	49 \| good	9.433 \| good	37.864 \| good	19.089 \| good	0.192 \| good	10.573 \| good	0.324 \| good
2025-10-22T14:00:00.000Z	56 \| moderate	11.51 \| good	51.356 \| good	23.234 \| good	0.308 \| good	6.28 \| good	0.264 \| good
2025-10-22T15:00:00.000Z	56 \| moderate	11.843 \| good	41.191 \| good	23.547 \| good	0.416 \| good	6.442 \| good	0.264 \| good
2025-10-22T16:00:00.000Z	44 \| good	7.865 \| good	35.941 \| good	25.198 \| good	0.496 \| good	4.773 \| good	0.159 \| good
2025-10-22T17:00:00.000Z	33 \| good	6.102 \| good	25.834 \| good	26.628 \| good	0.605 \| good	4.185 \| good	0.159 \| good
2025-10-22T18:00:00.000Z	25 \| good	4.418 \| good	19.106 \| good	26.911 \| good	0.266 \| good	4.154 \| good	0.11 \| good
2025-10-22T19:00:00.000Z	27 \| good	3.604 \| good	16.792 \| good	29.407 \| good	0.213 \| good	4.108 \| good	0.11 \| good
2025-10-22T20:00:00.000Z	28 \| good	2.235 \| good	13.108 \| good	30.347 \| good	0.238 \| good	6.51 \| good	0.183 \| good
2025-10-22T21:00:00.000Z	27 \| good	2.87 \| good	12.982 \| good	28.648 \| good	0.211 \| good	6.768 \| good	0.173 \| good
2025-10-22T22:00:00.000Z	25 \| good	2.438 \| good	10.625 \| good	27.195 \| good	0.192 \| good	4.94 \| good	0.173 \| good
2025-10-22T23:00:00.000Z	26 \| good	2.195 \| good	10.267 \| good	28.381 \| good	0.193 \| good	5.509 \| good	0.183 \| good
2025-10-23T00:00:00.000Z	22 \| good	3.989 \| good	14.201 \| good	22.322 \| good	0.253 \| good	7.436 \| good	0.192 \| good
2025-10-23T01:00:00.000Z	24 \| good	3.88 \| good	16.333 \| good	26.226 \| good	0.736 \| good	8.099 \| good	0.206 \| good
2025-10-23T02:00:00.000Z	27 \| good	4.785 \| good	22.668 \| good	22.734 \| good	0.24 \| good	7.766 \| good	0.206 \| good
2025-10-23T03:00:00.000Z	27 \| good	4.86 \| good	22.154 \| good	19.176 \| good	0.243 \| good	5.82 \| good	0.167 \| good
2025-10-23T04:00:00.000Z	27 \| good	4.887 \| good	22.259 \| good	16.576 \| good	0.214 \| good	6.546 \| good	0.167 \| good
2025-10-23T05:00:00.000Z	27 \| good	4.856 \| good	20.787 \| good	16.123 \| good	0.189 \| good	8.541 \| good	0.2 \| good
2025-10-23T06:00:00.000Z	22 \| good	4.463 \| good	24.009 \| good	17.638 \| good	0.217 \| good	7.323 \| good	0.178 \| good
2025-10-23T07:00:00.000Z	27 \| good	4.57 \| good	20.834 \| good	22.434 \| good	0.785 \| good	5.616 \| good	0.178 \| good
2025-10-23T08:00:00.000Z	22 \| good	4.371 \| good	22.119 \| good	18.844 \| good	0.203 \| good	6.74 \| good	0.178 \| good
2025-10-23T09:00:00.000Z	27 \| good	4.563 \| good	20.112 \| good	15.008 \| good	0.92 \| good	6.812 \| good	0.178 \| good
2025-10-23T10:00:00.000Z	22 \| good	3.703 \| good	17.391 \| good	13.515 \| good	0.25 \| good	10.194 \| good	0.225 \| good
2025-10-23T11:00:00.000Z	22 \| good	3.703 \| good	17.391 \| good	13.515 \| good	0.25 \| good	10.194 \| good	0.225 \| good
2025-10-23T01:00:00.000Z	33 \| good	6.409 \| good	28.309 \| good	21.715 \| good	1.879 \| good	10.241 \| good	0.182 \| good
2025-10-23T02:00:00.000Z	44 \| good	7.788 \| good	34.395 \| good	21.011 \| good	1.937 \| good	10.701 \| good	0.185 \| good
2025-10-23T03:00:00.000Z	44 \| good	7.613 \| good	33.565 \| good	20.716 \| good	1.995 \| good	11.162 \| good	0.187 \| good
2025-10-23T04:00:00.000Z	44 \| good	7.746 \| good	34.067 \| good	21.027 \| good	2.03 \| good	10.278 \| good	0.181 \| good
2025-10-23T05:00:00.000Z	38 \| good	7.358 \| good	32.346 \| good	20.564 \| good	2.065 \| good	9.394 \| good	0.176 \| good
2025-10-23T06:00:00.000Z	38 \| good	6.522 \| good	29.141 \| good	20.359 \| good	2.1 \| good	8.51 \| good	0.17 \| good
2025-10-23T07:00:00.000Z	38 \| good	7.34 \| good	32.099 \| good	20.156 \| good	2.226 \| good	8.083 \| good	0.167 \| good
2025-10-23T08:00:00.000Z	38 \| good	6.852 \| good	30.295 \| good	18.388 \| good	2.352 \| good	7.656 \| good	0.164 \| good
2025-10-23T09:00:00.000Z	33 \| good	6.168 \| good	27.212 \| good	17.104 \| good	2.478 \| good	7.229 \| good	0.16 \| good
2025-10-23T10:00:00.000Z	27 \| good	5.162 \| good	21.931 \| good	14.427 \| good	2.63 \| good	8.214 \| good	0.17 \| good
2025-10-23T11:00:00.000Z	27 \| good	5.241 \| good	22.871 \| good	14.868 \| good	2.781 \| good	9.198 \| good	0.179 \| good
2025-10-23T12:00:00.000Z	22 \| good	4.011 \| good	17.714 \| good	19.18 \| good	2.933 \| good	10.183 \| good	0.189 \| good
2025-10-23T13:00:00.000Z	22 \| good	4.212 \| good	18.787 \| good	23.557 \| good	2.984 \| good	8.464 \| good	0.182 \| good
2025-10-23T14:00:00.000Z	22 \| good	3.655 \| good	15.967 \| good	24.44 \| good	3.036 \| good	6.745 \| good	0.175 \| good
2025-10-23T15:00:00.000Z	24 \| good	2.29 \| good	9.628 \| good	25.954 \| good	3.087 \| good	5.026 \| good	0.168 \| good
2025-10-23T16:00:00.000Z	24 \| good	2.875 \| good	11.873 \| good	26.469 \| good	2.707 \| good	4.392 \| good	0.16 \| good
2025-10-23T17:00:00.000Z	26 \| good	2.683 \| good	10.95 \| good	27.519 \| good	2.326 \| good	3.758 \| good	0.153 \| good
2025-10-23T18:00:00.000Z	24 \| good	2.656 \| good	10.971 \| good	26.308 \| good	1.945 \| good	3.125 \| good	0.146 \| good
2025-10-23T19:00:00.000Z	24 \| good	2.489 \| good	10.028 \| good	26.023 \| good	1.902 \| good	3.465 \| good	0.147 \| good
2025-10-23T20:00:00.000Z	25 \| good	1.727 \| good	7.124 \| good	27.076 \| good	1.859 \| good	3.806 \| good	0.148 \| good
2025-10-23T21:00:00.000Z	25 \| good	2.854 \| good	11.911 \| good	27.454 \| good	1.815 \| good	4.146 \| good	0.149 \| good
2025-10-23T22:00:00.000Z	28 \| good	0.945 \| good	3.821 \| good	30.185 \| good	1.921 \| good	6.834 \| good	0.165 \| good
2025-10-23T23:00:00.000Z	26 \| good	0.449 \| good	1.793 \| good	28.398 \| good	2.026 \| good	9.522 \| good	0.181 \| good
2025-10-24T00:00:00.000Z	23 \| good	1.904 \| good	7.906 \| good	25.028 \| good	2.132 \| good	12.209 \| good	0.197 \| good
2025-10-24T01:00:00.000Z	27 \| good	5.14 \| good	22.262 \| good	21 \| good	2.162 \| good	11.834 \| good	0.196 \| good
2025-10-24T02:00:00.000Z	33 \| good	6.266 \| good	27.929 \| good	18.547 \| good	2.192 \| good	11.459 \| good	0.195 \| good
2025-10-24T03:00:00.000Z	27 \| good	5.198 \| good	22.45 \| good	20.388 \| good	2.222 \| good	11.083 \| good	0.194 \| good
2025-10-24T04:00:00.000Z	27 \| good	4.666 \| good	20.095 \| good	21.868 \| good	2.085 \| good	9.743 \| good	0.187 \| good
2025-10-24T05:00:00.000Z	22 \| good	4.059 \| good	18.037 \| good	21.607 \| good	1.949 \| good	8.402 \| good	0.18 \| good
2025-10-24T06:00:00.000Z	18 \| good	2.895 \| good	11.912 \| good	18.824 \| good	1.812 \| good	7.061 \| good	0.173 \| good
2025-10-24T07:00:00.000Z	22 \| good	3.825 \| good	16.557 \| good	17.42 \| good	1.685 \| good	6.572 \| good	0.167 \| good
2025-10-24T08:00:00.000Z	22 \| good	3.549 \| good	15.294 \| good	14.439 \| good	1.559 \| good	6.082 \| good	0.161 \| good
2025-10-24T09:00:00.000Z	16 \| good	2.833 \| good	11.667 \| good	12.784 \| good	1.433 \| good	5.593 \| good	0.155 \| good
2025-10-24T10:00:00.000Z	11 \| good	2.338 \| good	9.518 \| good	10.211 \| good	1.473 \| good	7.137 \| good	0.168 \| good
2025-10-24T11:00:00.000Z	11 \| good	2.427 \| good	10.14 \| good	6.671 \| good	1.513 \| good	8.681 \| good	0.18 \| good
2025-10-24T12:00:00.000Z	10 \| good	1.332 \| good	5.179 \| good	10.906 \| good	1.553 \| good	10.226 \| good	0.193 \| good
2025-10-24T13:00:00.000Z	17 \| good	2.21 \| good	8.977 \| good	17.596 \| good	1.608 \| good	8.33 \| good	0.185 \| good
2025-10-24T14:00:00.000Z	20 \| good	2.55 \| good	10.242 \| good	22.378 \| good	1.662 \| good	6.433 \| good	0.177 \| good
2025-10-24T15:00:00.000Z	27 \| good	2.181 \| good	9.052 \| good	28.527 \| good	1.717 \| good	4.537 \| good	0.169 \| good
2025-10-24T16:00:00.000Z	30 \| good	2.239 \| good	9.181 \| good	31.594 \| good	1.595 \| good	3.987 \| good	0.164 \| good
2025-10-24T17:00:00.000Z	31 \| good	2.374 \| good	9.945 \| good	33.578 \| good	1.473 \| good	3.437 \| good	0.159 \| good
2025-10-24T18:00:00.000Z	30 \| good	2.174 \| good	8.94 \| good	32.244 \| good	1.352 \| good	2.887 \| good	0.155 \| good
2025-10-24T19:00:00.000Z	30 \| good	1.907 \| good	7.944 \| good	31.733 \| good	1.217 \| good	3.082 \| good	0.154 \| good
2025-10-24T20:00:00.000Z	30 \| good	1.227 \| good	5.056 \| good	32.376 \| good	1.083 \| good	3.276 \| good	0.153 \| good
2025-10-24T21:00:00.000Z	31 \| good	1.771 \| good	7.253 \| good	32.596 \| good	0.948 \| good	3.47 \| good	0.152 \| good
2025-10-24T22:00:00.000Z	25 \| good	0.53 \| good	2.051 \| good	26.974 \| good	1.029 \| good	6.526 \| good	0.17 \| good
2025-10-24T23:00:00.000Z	22 \| good	0.854 \| good	3.122 \| good	24.229 \| good	1.109 \| good	9.583 \| good	0.188 \| good
2025-10-25T00:00:00.000Z	33 \| good	5.89 \| good	5.893 \| good	17.334 \| good	1.18 \| good	12.579 \| good	0.206 \| good

North Plainfield

Empower business decisions with accurate air quality data

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

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

Certified

APIs

Refund Policy

Historical Climate Data

Terms & Conditions

Refund Policy

Terms & Conditions

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-21T12:00:00.000Z	33 \| good	5.536 \| good	17.497 \| good	13.354 \| good	0.691 \| good	15.251 \| good	0.286 \| good
2025-10-21T13:00:00.000Z	22 \| good	3.991 \| good	16.754 \| good	10.907 \| good	0.909 \| good	16.536 \| good	0.392 \| good
2025-10-21T14:00:00.000Z	22 \| good	4.421 \| good	20.653 \| good	13.441 \| good	0.977 \| good	13.509 \| good	0.401 \| good
2025-10-21T15:00:00.000Z	22 \| good	3.964 \| good	24.334 \| good	16.303 \| good	1.251 \| good	14.472 \| good	0.282 \| good
2025-10-21T16:00:00.000Z	33 \| good	6.151 \| good	23.758 \| good	20.271 \| good	1.425 \| good	13.191 \| good	0.272 \| good
2025-10-21T17:00:00.000Z	38 \| good	7.064 \| good	27.237 \| good	22.93 \| good	1.209 \| good	9.378 \| good	0.22 \| good
2025-10-21T18:00:00.000Z	33 \| good	5.839 \| good	28.953 \| good	28.03 \| good	0.844 \| good	6.131 \| good	0.197 \| good
2025-10-21T19:00:00.000Z	33 \| good	5.524 \| good	29.616 \| good	30.138 \| good	0.76 \| good	5.56 \| good	0.215 \| good
2025-10-21T20:00:00.000Z	31 \| good	4.546 \| good	18.004 \| good	34.104 \| good	0.386 \| good	6.415 \| good	0.215 \| good
2025-10-21T21:00:00.000Z	33 \| good	4.585 \| good	16.886 \| good	36.16 \| good	0.347 \| good	10.889 \| good	0.236 \| good
2025-10-21T22:00:00.000Z	33 \| good	2.937 \| good	11.478 \| good	36.312 \| good	0.361 \| good	16.02 \| good	0.236 \| good
2025-10-21T23:00:00.000Z	31 \| good	4.358 \| good	19.148 \| good	34.365 \| good	0.327 \| good	23.322 \| good	0.236 \| good
2025-10-22T00:00:00.000Z	34 \| good	5.237 \| good	22.544 \| good	36.566 \| good	0.348 \| good	14.495 \| good	0.246 \| good
2025-10-22T01:00:00.000Z	31 \| good	4.456 \| good	20.388 \| good	32.907 \| good	0.376 \| good	18.028 \| good	0.246 \| good
2025-10-22T02:00:00.000Z	36 \| good	4.557 \| good	18.983 \| good	38.612 \| good	0.211 \| good	14.208 \| good	0.176 \| good
2025-10-22T03:00:00.000Z	49 \| good	9.333 \| good	41.886 \| good	31.483 \| good	2.041 \| good	9.574 \| good	0.173 \| good
2025-10-22T04:00:00.000Z	33 \| good	5.446 \| good	22.707 \| good	35.908 \| good	0.307 \| good	15.653 \| good	0.186 \| good
2025-10-22T05:00:00.000Z	38 \| good	6.978 \| good	32.948 \| good	33.406 \| good	0.306 \| good	10.304 \| good	0.159 \| good
2025-10-22T06:00:00.000Z	38 \| good	7.432 \| good	31.861 \| good	28.134 \| good	0.292 \| good	11.507 \| good	0.159 \| good
2025-10-22T07:00:00.000Z	44 \| good	8.062 \| good	34.069 \| good	24.191 \| good	0.292 \| good	14.097 \| good	0.159 \| good
2025-10-22T08:00:00.000Z	44 \| good	8.425 \| good	37.67 \| good	26.234 \| good	0.304 \| good	15.539 \| good	0.141 \| good
2025-10-22T09:00:00.000Z	44 \| good	7.882 \| good	34.85 \| good	21.072 \| good	0.293 \| good	15.53 \| good	0.177 \| good
2025-10-22T10:00:00.000Z	38 \| good	7.137 \| good	34.927 \| good	19.306 \| good	0.279 \| good	15.273 \| good	0.287 \| good
2025-10-22T11:00:00.000Z	44 \| good	7.858 \| good	36.222 \| good	17.419 \| good	0.167 \| good	15.562 \| good	0.316 \| good
2025-10-22T12:00:00.000Z	44 \| good	7.982 \| good	27.759 \| good	19.43 \| good	0.19 \| good	12.581 \| good	0.315 \| good
2025-10-22T13:00:00.000Z	49 \| good	9.433 \| good	37.864 \| good	19.089 \| good	0.192 \| good	10.573 \| good	0.324 \| good
2025-10-22T14:00:00.000Z	56 \| moderate	11.51 \| good	51.356 \| good	23.234 \| good	0.308 \| good	6.28 \| good	0.264 \| good
2025-10-22T15:00:00.000Z	56 \| moderate	11.843 \| good	41.191 \| good	23.547 \| good	0.416 \| good	6.442 \| good	0.264 \| good
2025-10-22T16:00:00.000Z	44 \| good	7.865 \| good	35.941 \| good	25.198 \| good	0.496 \| good	4.773 \| good	0.159 \| good
2025-10-22T17:00:00.000Z	33 \| good	6.102 \| good	25.834 \| good	26.628 \| good	0.605 \| good	4.185 \| good	0.159 \| good
2025-10-22T18:00:00.000Z	25 \| good	4.418 \| good	19.106 \| good	26.911 \| good	0.266 \| good	4.154 \| good	0.11 \| good
2025-10-22T19:00:00.000Z	27 \| good	3.604 \| good	16.792 \| good	29.407 \| good	0.213 \| good	4.108 \| good	0.11 \| good
2025-10-22T20:00:00.000Z	28 \| good	2.235 \| good	13.108 \| good	30.347 \| good	0.238 \| good	6.51 \| good	0.183 \| good
2025-10-22T21:00:00.000Z	27 \| good	2.87 \| good	12.982 \| good	28.648 \| good	0.211 \| good	6.768 \| good	0.173 \| good
2025-10-22T22:00:00.000Z	25 \| good	2.438 \| good	10.625 \| good	27.195 \| good	0.192 \| good	4.94 \| good	0.173 \| good
2025-10-22T23:00:00.000Z	26 \| good	2.195 \| good	10.267 \| good	28.381 \| good	0.193 \| good	5.509 \| good	0.183 \| good
2025-10-23T00:00:00.000Z	22 \| good	3.989 \| good	14.201 \| good	22.322 \| good	0.253 \| good	7.436 \| good	0.192 \| good
2025-10-23T01:00:00.000Z	24 \| good	3.88 \| good	16.333 \| good	26.226 \| good	0.736 \| good	8.099 \| good	0.206 \| good
2025-10-23T02:00:00.000Z	27 \| good	4.785 \| good	22.668 \| good	22.734 \| good	0.24 \| good	7.766 \| good	0.206 \| good
2025-10-23T03:00:00.000Z	27 \| good	4.86 \| good	22.154 \| good	19.176 \| good	0.243 \| good	5.82 \| good	0.167 \| good
2025-10-23T04:00:00.000Z	27 \| good	4.887 \| good	22.259 \| good	16.576 \| good	0.214 \| good	6.546 \| good	0.167 \| good
2025-10-23T05:00:00.000Z	27 \| good	4.856 \| good	20.787 \| good	16.123 \| good	0.189 \| good	8.541 \| good	0.2 \| good
2025-10-23T06:00:00.000Z	22 \| good	4.463 \| good	24.009 \| good	17.638 \| good	0.217 \| good	7.323 \| good	0.178 \| good
2025-10-23T07:00:00.000Z	27 \| good	4.57 \| good	20.834 \| good	22.434 \| good	0.785 \| good	5.616 \| good	0.178 \| good
2025-10-23T08:00:00.000Z	22 \| good	4.371 \| good	22.119 \| good	18.844 \| good	0.203 \| good	6.74 \| good	0.178 \| good
2025-10-23T09:00:00.000Z	27 \| good	4.563 \| good	20.112 \| good	15.008 \| good	0.92 \| good	6.812 \| good	0.178 \| good
2025-10-23T10:00:00.000Z	22 \| good	3.703 \| good	17.391 \| good	13.515 \| good	0.25 \| good	10.194 \| good	0.225 \| good
2025-10-23T11:00:00.000Z	22 \| good	3.703 \| good	17.391 \| good	13.515 \| good	0.25 \| good	10.194 \| good	0.225 \| good
2025-10-23T01:00:00.000Z	33 \| good	6.409 \| good	28.309 \| good	21.715 \| good	1.879 \| good	10.241 \| good	0.182 \| good
2025-10-23T02:00:00.000Z	44 \| good	7.788 \| good	34.395 \| good	21.011 \| good	1.937 \| good	10.701 \| good	0.185 \| good
2025-10-23T03:00:00.000Z	44 \| good	7.613 \| good	33.565 \| good	20.716 \| good	1.995 \| good	11.162 \| good	0.187 \| good
2025-10-23T04:00:00.000Z	44 \| good	7.746 \| good	34.067 \| good	21.027 \| good	2.03 \| good	10.278 \| good	0.181 \| good
2025-10-23T05:00:00.000Z	38 \| good	7.358 \| good	32.346 \| good	20.564 \| good	2.065 \| good	9.394 \| good	0.176 \| good
2025-10-23T06:00:00.000Z	38 \| good	6.522 \| good	29.141 \| good	20.359 \| good	2.1 \| good	8.51 \| good	0.17 \| good
2025-10-23T07:00:00.000Z	38 \| good	7.34 \| good	32.099 \| good	20.156 \| good	2.226 \| good	8.083 \| good	0.167 \| good
2025-10-23T08:00:00.000Z	38 \| good	6.852 \| good	30.295 \| good	18.388 \| good	2.352 \| good	7.656 \| good	0.164 \| good
2025-10-23T09:00:00.000Z	33 \| good	6.168 \| good	27.212 \| good	17.104 \| good	2.478 \| good	7.229 \| good	0.16 \| good
2025-10-23T10:00:00.000Z	27 \| good	5.162 \| good	21.931 \| good	14.427 \| good	2.63 \| good	8.214 \| good	0.17 \| good
2025-10-23T11:00:00.000Z	27 \| good	5.241 \| good	22.871 \| good	14.868 \| good	2.781 \| good	9.198 \| good	0.179 \| good
2025-10-23T12:00:00.000Z	22 \| good	4.011 \| good	17.714 \| good	19.18 \| good	2.933 \| good	10.183 \| good	0.189 \| good
2025-10-23T13:00:00.000Z	22 \| good	4.212 \| good	18.787 \| good	23.557 \| good	2.984 \| good	8.464 \| good	0.182 \| good
2025-10-23T14:00:00.000Z	22 \| good	3.655 \| good	15.967 \| good	24.44 \| good	3.036 \| good	6.745 \| good	0.175 \| good
2025-10-23T15:00:00.000Z	24 \| good	2.29 \| good	9.628 \| good	25.954 \| good	3.087 \| good	5.026 \| good	0.168 \| good
2025-10-23T16:00:00.000Z	24 \| good	2.875 \| good	11.873 \| good	26.469 \| good	2.707 \| good	4.392 \| good	0.16 \| good
2025-10-23T17:00:00.000Z	26 \| good	2.683 \| good	10.95 \| good	27.519 \| good	2.326 \| good	3.758 \| good	0.153 \| good
2025-10-23T18:00:00.000Z	24 \| good	2.656 \| good	10.971 \| good	26.308 \| good	1.945 \| good	3.125 \| good	0.146 \| good
2025-10-23T19:00:00.000Z	24 \| good	2.489 \| good	10.028 \| good	26.023 \| good	1.902 \| good	3.465 \| good	0.147 \| good
2025-10-23T20:00:00.000Z	25 \| good	1.727 \| good	7.124 \| good	27.076 \| good	1.859 \| good	3.806 \| good	0.148 \| good
2025-10-23T21:00:00.000Z	25 \| good	2.854 \| good	11.911 \| good	27.454 \| good	1.815 \| good	4.146 \| good	0.149 \| good
2025-10-23T22:00:00.000Z	28 \| good	0.945 \| good	3.821 \| good	30.185 \| good	1.921 \| good	6.834 \| good	0.165 \| good
2025-10-23T23:00:00.000Z	26 \| good	0.449 \| good	1.793 \| good	28.398 \| good	2.026 \| good	9.522 \| good	0.181 \| good
2025-10-24T00:00:00.000Z	23 \| good	1.904 \| good	7.906 \| good	25.028 \| good	2.132 \| good	12.209 \| good	0.197 \| good
2025-10-24T01:00:00.000Z	27 \| good	5.14 \| good	22.262 \| good	21 \| good	2.162 \| good	11.834 \| good	0.196 \| good
2025-10-24T02:00:00.000Z	33 \| good	6.266 \| good	27.929 \| good	18.547 \| good	2.192 \| good	11.459 \| good	0.195 \| good
2025-10-24T03:00:00.000Z	27 \| good	5.198 \| good	22.45 \| good	20.388 \| good	2.222 \| good	11.083 \| good	0.194 \| good
2025-10-24T04:00:00.000Z	27 \| good	4.666 \| good	20.095 \| good	21.868 \| good	2.085 \| good	9.743 \| good	0.187 \| good
2025-10-24T05:00:00.000Z	22 \| good	4.059 \| good	18.037 \| good	21.607 \| good	1.949 \| good	8.402 \| good	0.18 \| good
2025-10-24T06:00:00.000Z	18 \| good	2.895 \| good	11.912 \| good	18.824 \| good	1.812 \| good	7.061 \| good	0.173 \| good
2025-10-24T07:00:00.000Z	22 \| good	3.825 \| good	16.557 \| good	17.42 \| good	1.685 \| good	6.572 \| good	0.167 \| good
2025-10-24T08:00:00.000Z	22 \| good	3.549 \| good	15.294 \| good	14.439 \| good	1.559 \| good	6.082 \| good	0.161 \| good
2025-10-24T09:00:00.000Z	16 \| good	2.833 \| good	11.667 \| good	12.784 \| good	1.433 \| good	5.593 \| good	0.155 \| good
2025-10-24T10:00:00.000Z	11 \| good	2.338 \| good	9.518 \| good	10.211 \| good	1.473 \| good	7.137 \| good	0.168 \| good
2025-10-24T11:00:00.000Z	11 \| good	2.427 \| good	10.14 \| good	6.671 \| good	1.513 \| good	8.681 \| good	0.18 \| good
2025-10-24T12:00:00.000Z	10 \| good	1.332 \| good	5.179 \| good	10.906 \| good	1.553 \| good	10.226 \| good	0.193 \| good
2025-10-24T13:00:00.000Z	17 \| good	2.21 \| good	8.977 \| good	17.596 \| good	1.608 \| good	8.33 \| good	0.185 \| good
2025-10-24T14:00:00.000Z	20 \| good	2.55 \| good	10.242 \| good	22.378 \| good	1.662 \| good	6.433 \| good	0.177 \| good
2025-10-24T15:00:00.000Z	27 \| good	2.181 \| good	9.052 \| good	28.527 \| good	1.717 \| good	4.537 \| good	0.169 \| good
2025-10-24T16:00:00.000Z	30 \| good	2.239 \| good	9.181 \| good	31.594 \| good	1.595 \| good	3.987 \| good	0.164 \| good
2025-10-24T17:00:00.000Z	31 \| good	2.374 \| good	9.945 \| good	33.578 \| good	1.473 \| good	3.437 \| good	0.159 \| good
2025-10-24T18:00:00.000Z	30 \| good	2.174 \| good	8.94 \| good	32.244 \| good	1.352 \| good	2.887 \| good	0.155 \| good
2025-10-24T19:00:00.000Z	30 \| good	1.907 \| good	7.944 \| good	31.733 \| good	1.217 \| good	3.082 \| good	0.154 \| good
2025-10-24T20:00:00.000Z	30 \| good	1.227 \| good	5.056 \| good	32.376 \| good	1.083 \| good	3.276 \| good	0.153 \| good
2025-10-24T21:00:00.000Z	31 \| good	1.771 \| good	7.253 \| good	32.596 \| good	0.948 \| good	3.47 \| good	0.152 \| good
2025-10-24T22:00:00.000Z	25 \| good	0.53 \| good	2.051 \| good	26.974 \| good	1.029 \| good	6.526 \| good	0.17 \| good
2025-10-24T23:00:00.000Z	22 \| good	0.854 \| good	3.122 \| good	24.229 \| good	1.109 \| good	9.583 \| good	0.188 \| good
2025-10-25T00:00:00.000Z	33 \| good	5.89 \| good	5.893 \| good	17.334 \| good	1.18 \| good	12.579 \| good	0.206 \| good

Current air quality index in North Plainfield, New Jersey today

Common air pollutants in North Plainfield, New Jersey

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live North Plainfield, New Jersey air quality forecast and history

Empower business decisions with accurate air quality data

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

How accurate is New Jersey, USA air quality data?

Air quality levels in US

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)