What are the current PM10 levels at Lindenhurst, New York?

The current PM10 levels in Lindenhurst, New York are 10.769 μg/m3.

What are the current sulfur dioxide (SO2) levels at Lindenhurst, New York?

The current sulfur dioxide (SO2) levels in Lindenhurst, New York are 0.244 ppb.

What are the current ozone (O3) levels at Lindenhurst, New York?

The current ozone (O3) levels at Lindenhurst, New York is 24.186 ppm.

What are the current nitrogen dioxide (NO2) levels at Lindenhurst, New York?

The current nitrogen dioxide (NO2) levels at Lindenhurst, New York is 8.271 ppb.

Real-time air quality index in Lindenhurst, New York today

Name: Live air pollution levels in Lindenhurst, New York today
Creator: Ambee

Stay updated with real-time air quality in Lindenhurst, New York 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

Lindenhurst, New York

Last updated: ... (Local time)

Common air pollutants in Lindenhurst, New York

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

2.78 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

10.77 μg/m³

155

255

425

605+

Ozone (O₃)

24.19 ppb

201

201+

Sulfur Dioxide (SO₂)

0.24 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

8.27 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.16 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

Lindenhurst, New York

Get Live Pollen Counts

Lindenhurst, New York

Scroll To Air Quality Map

Track live Lindenhurst, New York air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T03:00:00.000Z	49 \| good	9.216 \| good	38.587 \| good	12.547 \| good	0.494 \| good	17.216 \| good	0.506 \| good
2025-10-19T04:00:00.000Z	54 \| moderate	11.168 \| good	40.927 \| good	12.599 \| good	0.38 \| good	16.821 \| good	0.483 \| good
2025-10-19T05:00:00.000Z	56 \| moderate	12.177 \| fine	31.841 \| good	14.11 \| good	0.287 \| good	17.951 \| good	0.445 \| good
2025-10-19T06:00:00.000Z	52 \| moderate	10.437 \| good	27.709 \| good	6.852 \| good	0.174 \| good	16.675 \| good	0.403 \| good
2025-10-19T07:00:00.000Z	38 \| good	7.336 \| good	27.435 \| good	7.556 \| good	0.161 \| good	13.822 \| good	0.397 \| good
2025-10-19T08:00:00.000Z	49 \| good	8.629 \| good	21.65 \| good	3.943 \| good	0.197 \| good	10.222 \| good	0.371 \| good
2025-10-19T09:00:00.000Z	49 \| good	9.122 \| good	27.857 \| good	2.841 \| good	0.203 \| good	8.286 \| good	0.355 \| good
2025-10-19T10:00:00.000Z	38 \| good	7.411 \| good	22.518 \| good	2.856 \| good	0.26 \| good	10.217 \| good	0.335 \| good
2025-10-19T11:00:00.000Z	33 \| good	6.284 \| good	20.415 \| good	3.76 \| good	0.395 \| good	6.473 \| good	0.389 \| good
2025-10-19T12:00:00.000Z	38 \| good	7.197 \| good	20.068 \| good	3.732 \| good	0.63 \| good	11.947 \| good	0.521 \| good
2025-10-19T13:00:00.000Z	38 \| good	7.22 \| good	25.201 \| good	4.71 \| good	0.688 \| good	10.408 \| good	0.597 \| good
2025-10-19T14:00:00.000Z	33 \| good	6.497 \| good	27.913 \| good	19.812 \| good	0.357 \| good	7.012 \| good	0.303 \| good
2025-10-19T15:00:00.000Z	38 \| good	6.954 \| good	30.186 \| good	27.676 \| good	0.219 \| good	4.523 \| good	0.302 \| good
2025-10-19T16:00:00.000Z	33 \| good	6.135 \| good	29.12 \| good	33.012 \| good	0.222 \| good	4.272 \| good	0.282 \| good
2025-10-19T17:00:00.000Z	33 \| good	5.722 \| good	33.436 \| good	36.061 \| good	0.151 \| good	2.291 \| good	0.256 \| good
2025-10-19T18:00:00.000Z	35 \| good	6.174 \| good	27.07 \| good	38.085 \| good	0.235 \| good	2.01 \| good	0.27 \| good
2025-10-19T19:00:00.000Z	39 \| good	6.258 \| good	31.856 \| good	41.911 \| good	0.25 \| good	2.411 \| good	0.221 \| good
2025-10-19T20:00:00.000Z	42 \| good	5.601 \| good	32.799 \| good	44.73 \| good	0.18 \| good	1.925 \| good	0.235 \| good
2025-10-19T21:00:00.000Z	44 \| good	6.815 \| good	31.576 \| good	47.521 \| good	0.191 \| good	2.531 \| good	0.235 \| good
2025-10-19T22:00:00.000Z	44 \| good	8.469 \| good	37.269 \| good	47.682 \| good	0.259 \| good	1.95 \| good	0.235 \| good
2025-10-19T23:00:00.000Z	45 \| good	7.581 \| good	35.616 \| good	48.571 \| good	0.188 \| good	2.935 \| good	0.255 \| good
2025-10-20T00:00:00.000Z	44 \| good	8.104 \| good	39.265 \| good	47.697 \| good	0.215 \| good	3.197 \| good	0.255 \| good
2025-10-20T01:00:00.000Z	44 \| good	7.508 \| good	31.8 \| good	46.642 \| good	0.188 \| good	2.682 \| good	0.241 \| good
2025-10-20T02:00:00.000Z	44 \| good	8.221 \| good	34.814 \| good	47.614 \| good	0.158 \| good	2.642 \| good	0.221 \| good
2025-10-20T03:00:00.000Z	43 \| good	5.706 \| good	19.285 \| good	45.619 \| good	0.176 \| good	1.363 \| good	0.197 \| good
2025-10-20T04:00:00.000Z	43 \| good	5.656 \| good	19.762 \| good	45.619 \| good	0.164 \| good	1.71 \| good	0.197 \| good
2025-10-20T05:00:00.000Z	42 \| good	5.86 \| good	21.398 \| good	44.726 \| good	0.237 \| good	2.014 \| good	0.197 \| good
2025-10-20T06:00:00.000Z	43 \| good	5.163 \| good	18.589 \| good	45.761 \| good	0.246 \| good	1.475 \| good	0.174 \| good
2025-10-20T07:00:00.000Z	40 \| good	5.387 \| good	20.436 \| good	42.93 \| good	0.22 \| good	1.584 \| good	0.184 \| good
2025-10-20T08:00:00.000Z	38 \| good	5.223 \| good	14.659 \| good	41.092 \| good	0.241 \| good	1.759 \| good	0.151 \| good
2025-10-20T09:00:00.000Z	38 \| good	7.182 \| good	25.231 \| good	40.896 \| good	0.246 \| good	2.371 \| good	0.151 \| good
2025-10-20T10:00:00.000Z	38 \| good	6.619 \| good	24.901 \| good	40.956 \| good	0.24 \| good	2.412 \| good	0.161 \| good
2025-10-20T11:00:00.000Z	39 \| good	5.871 \| good	18.682 \| good	41.762 \| good	0.332 \| good	7.584 \| good	0.215 \| good
2025-10-20T12:00:00.000Z	39 \| good	4.544 \| good	17.413 \| good	41.698 \| good	0.321 \| good	9.659 \| good	0.218 \| good
2025-10-20T13:00:00.000Z	33 \| good	3.68 \| good	16.866 \| good	36.014 \| good	0.364 \| good	9.046 \| good	0.221 \| good
2025-10-20T14:00:00.000Z	32 \| good	3.074 \| good	11.28 \| good	34.821 \| good	0.247 \| good	8.205 \| good	0.24 \| good
2025-10-20T15:00:00.000Z	29 \| good	1.267 \| good	7.385 \| good	31.072 \| good	0.204 \| good	9.853 \| good	0.218 \| good
2025-10-20T16:00:00.000Z	27 \| good	2 \| good	6.531 \| good	29.038 \| good	0.889 \| good	9.449 \| good	0.185 \| good
2025-10-20T17:00:00.000Z	26 \| good	2.724 \| good	9.916 \| good	28.102 \| good	0.615 \| good	8.191 \| good	0.185 \| good
2025-10-20T18:00:00.000Z	25 \| good	2.248 \| good	8.106 \| good	27.051 \| good	1.219 \| good	7.42 \| good	0.183 \| good
2025-10-20T19:00:00.000Z	23 \| good	2.168 \| good	5.787 \| good	25.22 \| good	0.154 \| good	5.137 \| good	0.163 \| good
2025-10-20T20:00:00.000Z	22 \| good	1.751 \| good	9.778 \| good	24.209 \| good	0.292 \| good	3.985 \| good	0.146 \| good
2025-10-20T21:00:00.000Z	24 \| good	2.722 \| good	12.057 \| good	26.23 \| good	0.206 \| good	4.777 \| good	0.184 \| good
2025-10-20T22:00:00.000Z	23 \| good	2.789 \| good	11.89 \| good	25.296 \| good	0.44 \| good	5.144 \| good	0.145 \| good
2025-10-20T23:00:00.000Z	24 \| good	2.476 \| good	9.18 \| good	26.017 \| good	0.222 \| good	5.741 \| good	0.121 \| good
2025-10-21T00:00:00.000Z	24 \| good	1.735 \| good	11.034 \| good	25.981 \| good	0.204 \| good	5.818 \| good	0.162 \| good
2025-10-21T01:00:00.000Z	21 \| good	2.443 \| good	7.793 \| good	23.38 \| good	0.246 \| good	6.541 \| good	0.162 \| good
2025-10-21T02:00:00.000Z	22 \| good	2.777 \| good	10.769 \| good	24.186 \| good	0.244 \| good	8.271 \| good	0.162 \| good
2025-10-21T02:00:00.000Z	22 \| good	2.777 \| good	10.769 \| good	24.186 \| good	0.244 \| good	8.271 \| good	0.162 \| good
2025-10-21T03:00:00.000Z	17 \| good	3.349 \| good	14.73 \| good	17.813 \| good	1.418 \| good	9.642 \| good	0.144 \| good
2025-10-21T04:00:00.000Z	22 \| good	3.575 \| good	15.913 \| good	17.058 \| good	1.424 \| good	8.972 \| good	0.143 \| good
2025-10-21T05:00:00.000Z	22 \| good	3.512 \| good	15.824 \| good	18.735 \| good	1.43 \| good	8.303 \| good	0.141 \| good
2025-10-21T06:00:00.000Z	17 \| good	3.414 \| good	14.956 \| good	17.984 \| good	1.436 \| good	7.633 \| good	0.139 \| good
2025-10-21T07:00:00.000Z	16 \| good	3.397 \| good	14.883 \| good	15.373 \| good	1.489 \| good	7.442 \| good	0.136 \| good
2025-10-21T08:00:00.000Z	22 \| good	3.663 \| good	15.929 \| good	13.645 \| good	1.542 \| good	7.25 \| good	0.134 \| good
2025-10-21T09:00:00.000Z	22 \| good	3.638 \| good	15.754 \| good	10.236 \| good	1.595 \| good	7.059 \| good	0.132 \| good
2025-10-21T10:00:00.000Z	22 \| good	3.826 \| good	16.668 \| good	7.087 \| good	1.815 \| good	8.336 \| good	0.14 \| good
2025-10-21T11:00:00.000Z	22 \| good	4.272 \| good	18.362 \| good	6.671 \| good	2.034 \| good	9.614 \| good	0.148 \| good
2025-10-21T12:00:00.000Z	27 \| good	5.008 \| good	21.457 \| good	8.409 \| good	2.254 \| good	10.891 \| good	0.156 \| good
2025-10-21T13:00:00.000Z	33 \| good	5.777 \| good	24.906 \| good	22.195 \| good	2.593 \| good	9.953 \| good	0.156 \| good
2025-10-21T14:00:00.000Z	33 \| good	6.348 \| good	27.986 \| good	31.358 \| good	2.933 \| good	9.016 \| good	0.155 \| good
2025-10-21T15:00:00.000Z	38 \| good	7.366 \| good	32.108 \| good	35.541 \| good	3.273 \| good	8.078 \| good	0.154 \| good
2025-10-21T16:00:00.000Z	44 \| good	7.502 \| good	33.005 \| good	40.029 \| good	3.011 \| good	6.628 \| good	0.146 \| good
2025-10-21T17:00:00.000Z	44 \| good	7.702 \| good	33.864 \| good	42.498 \| good	2.749 \| good	5.177 \| good	0.138 \| good
2025-10-21T18:00:00.000Z	42 \| good	7.124 \| good	31.816 \| good	45.011 \| good	2.487 \| good	3.727 \| good	0.129 \| good
2025-10-21T19:00:00.000Z	42 \| good	5.931 \| good	26.677 \| good	44.735 \| good	2.145 \| good	3.54 \| good	0.131 \| good
2025-10-21T20:00:00.000Z	43 \| good	6.146 \| good	27.198 \| good	45.887 \| good	1.803 \| good	3.352 \| good	0.133 \| good
2025-10-21T21:00:00.000Z	43 \| good	6.747 \| good	30.008 \| good	45.649 \| good	1.461 \| good	3.165 \| good	0.134 \| good
2025-10-21T22:00:00.000Z	42 \| good	7.007 \| good	31.069 \| good	45.425 \| good	1.319 \| good	3.567 \| good	0.135 \| good
2025-10-21T23:00:00.000Z	44 \| good	7.916 \| good	34.84 \| good	44.553 \| good	1.177 \| good	3.97 \| good	0.136 \| good
2025-10-22T00:00:00.000Z	44 \| good	8.11 \| good	35.899 \| good	36.33 \| good	1.034 \| good	4.373 \| good	0.137 \| good
2025-10-22T01:00:00.000Z	38 \| good	7.478 \| good	32.962 \| good	34.904 \| good	0.986 \| good	4.291 \| good	0.135 \| good
2025-10-22T02:00:00.000Z	38 \| good	7.389 \| good	32.24 \| good	31.149 \| good	0.937 \| good	4.209 \| good	0.132 \| good
2025-10-22T03:00:00.000Z	38 \| good	7.097 \| good	31.205 \| good	30.358 \| good	0.888 \| good	4.127 \| good	0.129 \| good
2025-10-22T04:00:00.000Z	38 \| good	7.133 \| good	31.843 \| good	31.099 \| good	0.911 \| good	3.931 \| good	0.13 \| good
2025-10-22T05:00:00.000Z	38 \| good	7.275 \| good	32.056 \| good	28.095 \| good	0.934 \| good	3.736 \| good	0.13 \| good
2025-10-22T06:00:00.000Z	38 \| good	6.855 \| good	30.075 \| good	32.615 \| good	0.958 \| good	3.541 \| good	0.13 \| good
2025-10-22T07:00:00.000Z	38 \| good	6.515 \| good	29.018 \| good	30.712 \| good	1.163 \| good	4.55 \| good	0.134 \| good
2025-10-22T08:00:00.000Z	33 \| good	6.208 \| good	27.921 \| good	32.652 \| good	1.369 \| good	5.56 \| good	0.138 \| good
2025-10-22T09:00:00.000Z	33 \| good	5.562 \| good	24.142 \| good	34.819 \| good	1.574 \| good	6.57 \| good	0.142 \| good
2025-10-22T10:00:00.000Z	33 \| good	5.907 \| good	26.585 \| good	26.028 \| good	1.809 \| good	8.402 \| good	0.157 \| good
2025-10-22T11:00:00.000Z	33 \| good	6.261 \| good	27.767 \| good	16.444 \| good	2.044 \| good	10.235 \| good	0.172 \| good
2025-10-22T12:00:00.000Z	38 \| good	6.844 \| good	29.983 \| good	24.886 \| good	2.279 \| good	12.068 \| good	0.187 \| good
2025-10-22T13:00:00.000Z	38 \| good	7.278 \| good	31.972 \| good	30.245 \| good	2.973 \| good	11.236 \| good	0.191 \| good
2025-10-22T14:00:00.000Z	38 \| good	6.587 \| good	29.132 \| good	34.712 \| good	3.667 \| good	10.405 \| good	0.194 \| good
2025-10-22T15:00:00.000Z	34 \| good	5.217 \| good	22.321 \| good	37.311 \| good	4.362 \| good	9.573 \| good	0.198 \| good
2025-10-22T16:00:00.000Z	36 \| good	5.059 \| good	22.049 \| good	39.321 \| good	3.736 \| good	7.645 \| good	0.18 \| good
2025-10-22T17:00:00.000Z	37 \| good	5.17 \| good	22.151 \| good	40.22 \| good	3.11 \| good	5.717 \| good	0.161 \| good
2025-10-22T18:00:00.000Z	39 \| good	5.528 \| good	23.951 \| good	41.878 \| good	2.484 \| good	3.789 \| good	0.143 \| good
2025-10-22T19:00:00.000Z	42 \| good	6.188 \| good	27.166 \| good	45.376 \| good	2.228 \| good	3.893 \| good	0.141 \| good
2025-10-22T20:00:00.000Z	42 \| good	6.74 \| good	29.994 \| good	44.844 \| good	1.972 \| good	3.996 \| good	0.14 \| good
2025-10-22T21:00:00.000Z	38 \| good	6.772 \| good	30.092 \| good	38.938 \| good	1.717 \| good	4.1 \| good	0.139 \| good
2025-10-22T22:00:00.000Z	31 \| good	5.278 \| good	22.901 \| good	33.017 \| good	1.787 \| good	5.569 \| good	0.145 \| good
2025-10-22T23:00:00.000Z	33 \| good	5.721 \| good	24.872 \| good	28.663 \| good	1.857 \| good	7.037 \| good	0.151 \| good
2025-10-23T00:00:00.000Z	27 \| good	5.141 \| good	5.332 \| good	27.671 \| good	1.917 \| good	8.437 \| good	0.157 \| good
2025-10-23T01:00:00.000Z	27 \| good	5.491 \| good	23.73 \| good	25.446 \| good	2.002 \| good	9.833 \| good	0.161 \| good
2025-10-23T02:00:00.000Z	27 \| good	5.363 \| good	22.948 \| good	20.806 \| good	2.077 \| good	11.16 \| good	0.164 \| good

Lindenhurst

Empower business decisions with accurate air quality data

Lindenhurst, New York air quality map: Real-time AQI near you

0.16ppm

How accurate is New York, USA air quality data?

Air quality measurements for New York, 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 Lindenhurst, New York updated?

Air quality data for Lindenhurst, New York is updated on an hourly basis.

When did Lindenhurst, New York experience the worst air quality in the last 24 hours?

The worst air quality in Lindenhurst, New York was recorded at 02:00:00 on 2025-10-20.

When did Lindenhurst, New York have its best air quality in the last 24 hours?

The best air quality in Lindenhurst, New York was recorded at 01:00:00 on 2025-10-21.

What is the real-time air quality index for Lindenhurst, New York?

The real-time air quality index in Lindenhurst, New York is 22, currently categorized as Good.

Which pollutant is found most often in Lindenhurst, New York?

The most common pollutant in Lindenhurst, New York is O3.

What can I do if the air quality in Lindenhurst, New York is poor?

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

What are the current PM_2.5 levels in Lindenhurst, New York?

The measured PM_2.5 levels in Lindenhurst, New York at present are 2.777 μg/m³.

What are the current PM₁₀ levels at Lindenhurst, New York?

The current PM₁₀ levels in Lindenhurst, New York are 10.769 μg/m³.

What are the current carbon monoxide (CO) levels at Lindenhurst, New York?

The current carbon monoxide (CO) level in Lindenhurst, New York is 0.162 ppm.

What are the current sulfur dioxide (SO₂) levels at Lindenhurst, New York?

The current sulfur dioxide (SO₂) levels in Lindenhurst, New York are 0.244 ppb.

What are the current ozone (O₃) levels at Lindenhurst, New York?

The current ozone (O₃) levels at Lindenhurst, New York is 24.186 ppm.

What are the current nitrogen dioxide (NO₂) levels at Lindenhurst, New York?

The current nitrogen dioxide (NO₂) levels at Lindenhurst, New York is 8.271 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T03:00:00.000Z	49 \| good	9.216 \| good	38.587 \| good	12.547 \| good	0.494 \| good	17.216 \| good	0.506 \| good
2025-10-19T04:00:00.000Z	54 \| moderate	11.168 \| good	40.927 \| good	12.599 \| good	0.38 \| good	16.821 \| good	0.483 \| good
2025-10-19T05:00:00.000Z	56 \| moderate	12.177 \| fine	31.841 \| good	14.11 \| good	0.287 \| good	17.951 \| good	0.445 \| good
2025-10-19T06:00:00.000Z	52 \| moderate	10.437 \| good	27.709 \| good	6.852 \| good	0.174 \| good	16.675 \| good	0.403 \| good
2025-10-19T07:00:00.000Z	38 \| good	7.336 \| good	27.435 \| good	7.556 \| good	0.161 \| good	13.822 \| good	0.397 \| good
2025-10-19T08:00:00.000Z	49 \| good	8.629 \| good	21.65 \| good	3.943 \| good	0.197 \| good	10.222 \| good	0.371 \| good
2025-10-19T09:00:00.000Z	49 \| good	9.122 \| good	27.857 \| good	2.841 \| good	0.203 \| good	8.286 \| good	0.355 \| good
2025-10-19T10:00:00.000Z	38 \| good	7.411 \| good	22.518 \| good	2.856 \| good	0.26 \| good	10.217 \| good	0.335 \| good
2025-10-19T11:00:00.000Z	33 \| good	6.284 \| good	20.415 \| good	3.76 \| good	0.395 \| good	6.473 \| good	0.389 \| good
2025-10-19T12:00:00.000Z	38 \| good	7.197 \| good	20.068 \| good	3.732 \| good	0.63 \| good	11.947 \| good	0.521 \| good
2025-10-19T13:00:00.000Z	38 \| good	7.22 \| good	25.201 \| good	4.71 \| good	0.688 \| good	10.408 \| good	0.597 \| good
2025-10-19T14:00:00.000Z	33 \| good	6.497 \| good	27.913 \| good	19.812 \| good	0.357 \| good	7.012 \| good	0.303 \| good
2025-10-19T15:00:00.000Z	38 \| good	6.954 \| good	30.186 \| good	27.676 \| good	0.219 \| good	4.523 \| good	0.302 \| good
2025-10-19T16:00:00.000Z	33 \| good	6.135 \| good	29.12 \| good	33.012 \| good	0.222 \| good	4.272 \| good	0.282 \| good
2025-10-19T17:00:00.000Z	33 \| good	5.722 \| good	33.436 \| good	36.061 \| good	0.151 \| good	2.291 \| good	0.256 \| good
2025-10-19T18:00:00.000Z	35 \| good	6.174 \| good	27.07 \| good	38.085 \| good	0.235 \| good	2.01 \| good	0.27 \| good
2025-10-19T19:00:00.000Z	39 \| good	6.258 \| good	31.856 \| good	41.911 \| good	0.25 \| good	2.411 \| good	0.221 \| good
2025-10-19T20:00:00.000Z	42 \| good	5.601 \| good	32.799 \| good	44.73 \| good	0.18 \| good	1.925 \| good	0.235 \| good
2025-10-19T21:00:00.000Z	44 \| good	6.815 \| good	31.576 \| good	47.521 \| good	0.191 \| good	2.531 \| good	0.235 \| good
2025-10-19T22:00:00.000Z	44 \| good	8.469 \| good	37.269 \| good	47.682 \| good	0.259 \| good	1.95 \| good	0.235 \| good
2025-10-19T23:00:00.000Z	45 \| good	7.581 \| good	35.616 \| good	48.571 \| good	0.188 \| good	2.935 \| good	0.255 \| good
2025-10-20T00:00:00.000Z	44 \| good	8.104 \| good	39.265 \| good	47.697 \| good	0.215 \| good	3.197 \| good	0.255 \| good
2025-10-20T01:00:00.000Z	44 \| good	7.508 \| good	31.8 \| good	46.642 \| good	0.188 \| good	2.682 \| good	0.241 \| good
2025-10-20T02:00:00.000Z	44 \| good	8.221 \| good	34.814 \| good	47.614 \| good	0.158 \| good	2.642 \| good	0.221 \| good
2025-10-20T03:00:00.000Z	43 \| good	5.706 \| good	19.285 \| good	45.619 \| good	0.176 \| good	1.363 \| good	0.197 \| good
2025-10-20T04:00:00.000Z	43 \| good	5.656 \| good	19.762 \| good	45.619 \| good	0.164 \| good	1.71 \| good	0.197 \| good
2025-10-20T05:00:00.000Z	42 \| good	5.86 \| good	21.398 \| good	44.726 \| good	0.237 \| good	2.014 \| good	0.197 \| good
2025-10-20T06:00:00.000Z	43 \| good	5.163 \| good	18.589 \| good	45.761 \| good	0.246 \| good	1.475 \| good	0.174 \| good
2025-10-20T07:00:00.000Z	40 \| good	5.387 \| good	20.436 \| good	42.93 \| good	0.22 \| good	1.584 \| good	0.184 \| good
2025-10-20T08:00:00.000Z	38 \| good	5.223 \| good	14.659 \| good	41.092 \| good	0.241 \| good	1.759 \| good	0.151 \| good
2025-10-20T09:00:00.000Z	38 \| good	7.182 \| good	25.231 \| good	40.896 \| good	0.246 \| good	2.371 \| good	0.151 \| good
2025-10-20T10:00:00.000Z	38 \| good	6.619 \| good	24.901 \| good	40.956 \| good	0.24 \| good	2.412 \| good	0.161 \| good
2025-10-20T11:00:00.000Z	39 \| good	5.871 \| good	18.682 \| good	41.762 \| good	0.332 \| good	7.584 \| good	0.215 \| good
2025-10-20T12:00:00.000Z	39 \| good	4.544 \| good	17.413 \| good	41.698 \| good	0.321 \| good	9.659 \| good	0.218 \| good
2025-10-20T13:00:00.000Z	33 \| good	3.68 \| good	16.866 \| good	36.014 \| good	0.364 \| good	9.046 \| good	0.221 \| good
2025-10-20T14:00:00.000Z	32 \| good	3.074 \| good	11.28 \| good	34.821 \| good	0.247 \| good	8.205 \| good	0.24 \| good
2025-10-20T15:00:00.000Z	29 \| good	1.267 \| good	7.385 \| good	31.072 \| good	0.204 \| good	9.853 \| good	0.218 \| good
2025-10-20T16:00:00.000Z	27 \| good	2 \| good	6.531 \| good	29.038 \| good	0.889 \| good	9.449 \| good	0.185 \| good
2025-10-20T17:00:00.000Z	26 \| good	2.724 \| good	9.916 \| good	28.102 \| good	0.615 \| good	8.191 \| good	0.185 \| good
2025-10-20T18:00:00.000Z	25 \| good	2.248 \| good	8.106 \| good	27.051 \| good	1.219 \| good	7.42 \| good	0.183 \| good
2025-10-20T19:00:00.000Z	23 \| good	2.168 \| good	5.787 \| good	25.22 \| good	0.154 \| good	5.137 \| good	0.163 \| good
2025-10-20T20:00:00.000Z	22 \| good	1.751 \| good	9.778 \| good	24.209 \| good	0.292 \| good	3.985 \| good	0.146 \| good
2025-10-20T21:00:00.000Z	24 \| good	2.722 \| good	12.057 \| good	26.23 \| good	0.206 \| good	4.777 \| good	0.184 \| good
2025-10-20T22:00:00.000Z	23 \| good	2.789 \| good	11.89 \| good	25.296 \| good	0.44 \| good	5.144 \| good	0.145 \| good
2025-10-20T23:00:00.000Z	24 \| good	2.476 \| good	9.18 \| good	26.017 \| good	0.222 \| good	5.741 \| good	0.121 \| good
2025-10-21T00:00:00.000Z	24 \| good	1.735 \| good	11.034 \| good	25.981 \| good	0.204 \| good	5.818 \| good	0.162 \| good
2025-10-21T01:00:00.000Z	21 \| good	2.443 \| good	7.793 \| good	23.38 \| good	0.246 \| good	6.541 \| good	0.162 \| good
2025-10-21T02:00:00.000Z	22 \| good	2.777 \| good	10.769 \| good	24.186 \| good	0.244 \| good	8.271 \| good	0.162 \| good
2025-10-21T02:00:00.000Z	22 \| good	2.777 \| good	10.769 \| good	24.186 \| good	0.244 \| good	8.271 \| good	0.162 \| good
2025-10-21T03:00:00.000Z	17 \| good	3.349 \| good	14.73 \| good	17.813 \| good	1.418 \| good	9.642 \| good	0.144 \| good
2025-10-21T04:00:00.000Z	22 \| good	3.575 \| good	15.913 \| good	17.058 \| good	1.424 \| good	8.972 \| good	0.143 \| good
2025-10-21T05:00:00.000Z	22 \| good	3.512 \| good	15.824 \| good	18.735 \| good	1.43 \| good	8.303 \| good	0.141 \| good
2025-10-21T06:00:00.000Z	17 \| good	3.414 \| good	14.956 \| good	17.984 \| good	1.436 \| good	7.633 \| good	0.139 \| good
2025-10-21T07:00:00.000Z	16 \| good	3.397 \| good	14.883 \| good	15.373 \| good	1.489 \| good	7.442 \| good	0.136 \| good
2025-10-21T08:00:00.000Z	22 \| good	3.663 \| good	15.929 \| good	13.645 \| good	1.542 \| good	7.25 \| good	0.134 \| good
2025-10-21T09:00:00.000Z	22 \| good	3.638 \| good	15.754 \| good	10.236 \| good	1.595 \| good	7.059 \| good	0.132 \| good
2025-10-21T10:00:00.000Z	22 \| good	3.826 \| good	16.668 \| good	7.087 \| good	1.815 \| good	8.336 \| good	0.14 \| good
2025-10-21T11:00:00.000Z	22 \| good	4.272 \| good	18.362 \| good	6.671 \| good	2.034 \| good	9.614 \| good	0.148 \| good
2025-10-21T12:00:00.000Z	27 \| good	5.008 \| good	21.457 \| good	8.409 \| good	2.254 \| good	10.891 \| good	0.156 \| good
2025-10-21T13:00:00.000Z	33 \| good	5.777 \| good	24.906 \| good	22.195 \| good	2.593 \| good	9.953 \| good	0.156 \| good
2025-10-21T14:00:00.000Z	33 \| good	6.348 \| good	27.986 \| good	31.358 \| good	2.933 \| good	9.016 \| good	0.155 \| good
2025-10-21T15:00:00.000Z	38 \| good	7.366 \| good	32.108 \| good	35.541 \| good	3.273 \| good	8.078 \| good	0.154 \| good
2025-10-21T16:00:00.000Z	44 \| good	7.502 \| good	33.005 \| good	40.029 \| good	3.011 \| good	6.628 \| good	0.146 \| good
2025-10-21T17:00:00.000Z	44 \| good	7.702 \| good	33.864 \| good	42.498 \| good	2.749 \| good	5.177 \| good	0.138 \| good
2025-10-21T18:00:00.000Z	42 \| good	7.124 \| good	31.816 \| good	45.011 \| good	2.487 \| good	3.727 \| good	0.129 \| good
2025-10-21T19:00:00.000Z	42 \| good	5.931 \| good	26.677 \| good	44.735 \| good	2.145 \| good	3.54 \| good	0.131 \| good
2025-10-21T20:00:00.000Z	43 \| good	6.146 \| good	27.198 \| good	45.887 \| good	1.803 \| good	3.352 \| good	0.133 \| good
2025-10-21T21:00:00.000Z	43 \| good	6.747 \| good	30.008 \| good	45.649 \| good	1.461 \| good	3.165 \| good	0.134 \| good
2025-10-21T22:00:00.000Z	42 \| good	7.007 \| good	31.069 \| good	45.425 \| good	1.319 \| good	3.567 \| good	0.135 \| good
2025-10-21T23:00:00.000Z	44 \| good	7.916 \| good	34.84 \| good	44.553 \| good	1.177 \| good	3.97 \| good	0.136 \| good
2025-10-22T00:00:00.000Z	44 \| good	8.11 \| good	35.899 \| good	36.33 \| good	1.034 \| good	4.373 \| good	0.137 \| good
2025-10-22T01:00:00.000Z	38 \| good	7.478 \| good	32.962 \| good	34.904 \| good	0.986 \| good	4.291 \| good	0.135 \| good
2025-10-22T02:00:00.000Z	38 \| good	7.389 \| good	32.24 \| good	31.149 \| good	0.937 \| good	4.209 \| good	0.132 \| good
2025-10-22T03:00:00.000Z	38 \| good	7.097 \| good	31.205 \| good	30.358 \| good	0.888 \| good	4.127 \| good	0.129 \| good
2025-10-22T04:00:00.000Z	38 \| good	7.133 \| good	31.843 \| good	31.099 \| good	0.911 \| good	3.931 \| good	0.13 \| good
2025-10-22T05:00:00.000Z	38 \| good	7.275 \| good	32.056 \| good	28.095 \| good	0.934 \| good	3.736 \| good	0.13 \| good
2025-10-22T06:00:00.000Z	38 \| good	6.855 \| good	30.075 \| good	32.615 \| good	0.958 \| good	3.541 \| good	0.13 \| good
2025-10-22T07:00:00.000Z	38 \| good	6.515 \| good	29.018 \| good	30.712 \| good	1.163 \| good	4.55 \| good	0.134 \| good
2025-10-22T08:00:00.000Z	33 \| good	6.208 \| good	27.921 \| good	32.652 \| good	1.369 \| good	5.56 \| good	0.138 \| good
2025-10-22T09:00:00.000Z	33 \| good	5.562 \| good	24.142 \| good	34.819 \| good	1.574 \| good	6.57 \| good	0.142 \| good
2025-10-22T10:00:00.000Z	33 \| good	5.907 \| good	26.585 \| good	26.028 \| good	1.809 \| good	8.402 \| good	0.157 \| good
2025-10-22T11:00:00.000Z	33 \| good	6.261 \| good	27.767 \| good	16.444 \| good	2.044 \| good	10.235 \| good	0.172 \| good
2025-10-22T12:00:00.000Z	38 \| good	6.844 \| good	29.983 \| good	24.886 \| good	2.279 \| good	12.068 \| good	0.187 \| good
2025-10-22T13:00:00.000Z	38 \| good	7.278 \| good	31.972 \| good	30.245 \| good	2.973 \| good	11.236 \| good	0.191 \| good
2025-10-22T14:00:00.000Z	38 \| good	6.587 \| good	29.132 \| good	34.712 \| good	3.667 \| good	10.405 \| good	0.194 \| good
2025-10-22T15:00:00.000Z	34 \| good	5.217 \| good	22.321 \| good	37.311 \| good	4.362 \| good	9.573 \| good	0.198 \| good
2025-10-22T16:00:00.000Z	36 \| good	5.059 \| good	22.049 \| good	39.321 \| good	3.736 \| good	7.645 \| good	0.18 \| good
2025-10-22T17:00:00.000Z	37 \| good	5.17 \| good	22.151 \| good	40.22 \| good	3.11 \| good	5.717 \| good	0.161 \| good
2025-10-22T18:00:00.000Z	39 \| good	5.528 \| good	23.951 \| good	41.878 \| good	2.484 \| good	3.789 \| good	0.143 \| good
2025-10-22T19:00:00.000Z	42 \| good	6.188 \| good	27.166 \| good	45.376 \| good	2.228 \| good	3.893 \| good	0.141 \| good
2025-10-22T20:00:00.000Z	42 \| good	6.74 \| good	29.994 \| good	44.844 \| good	1.972 \| good	3.996 \| good	0.14 \| good
2025-10-22T21:00:00.000Z	38 \| good	6.772 \| good	30.092 \| good	38.938 \| good	1.717 \| good	4.1 \| good	0.139 \| good
2025-10-22T22:00:00.000Z	31 \| good	5.278 \| good	22.901 \| good	33.017 \| good	1.787 \| good	5.569 \| good	0.145 \| good
2025-10-22T23:00:00.000Z	33 \| good	5.721 \| good	24.872 \| good	28.663 \| good	1.857 \| good	7.037 \| good	0.151 \| good
2025-10-23T00:00:00.000Z	27 \| good	5.141 \| good	5.332 \| good	27.671 \| good	1.917 \| good	8.437 \| good	0.157 \| good
2025-10-23T01:00:00.000Z	27 \| good	5.491 \| good	23.73 \| good	25.446 \| good	2.002 \| good	9.833 \| good	0.161 \| good
2025-10-23T02:00:00.000Z	27 \| good	5.363 \| good	22.948 \| good	20.806 \| good	2.077 \| good	11.16 \| good	0.164 \| good

Real-time air quality index in Lindenhurst, New York today

Common air pollutants in Lindenhurst, New York

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Lindenhurst, New York air quality forecast and history

Empower business decisions with accurate air quality data

Lindenhurst, New York air quality map: Real-time AQI near you

Air quality in nearby cities

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How accurate is New York, USA air quality data?

Air quality levels in US

Frequently asked questions

How frequently is the air quality data for Lindenhurst, New York updated?

When did Lindenhurst, New York experience the worst air quality in the last 24 hours?

When did Lindenhurst, New York have its best air quality in the last 24 hours?

What is the real-time air quality index for Lindenhurst, New York?

Which pollutant is found most often in Lindenhurst, New York?

What can I do if the air quality in Lindenhurst, New York is poor?

What are the current PM2.5 levels in Lindenhurst, New York?

What are the current PM10 levels at Lindenhurst, New York?

What are the current carbon monoxide (CO) levels at Lindenhurst, New York?

What are the current sulfur dioxide (SO2) levels at Lindenhurst, New York?

What are the current ozone (O3) levels at Lindenhurst, New York?

What are the current nitrogen dioxide (NO2) levels at Lindenhurst, New York?

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 Lindenhurst, New York?

What are the current PM₁₀ levels at Lindenhurst, New York?

What are the current sulfur dioxide (SO₂) levels at Lindenhurst, New York?

What are the current ozone (O₃) levels at Lindenhurst, New York?

What are the current nitrogen dioxide (NO₂) levels at Lindenhurst, New York?