What are the current PM10 levels at Massapequa Park, New York?

The current PM10 levels in Massapequa Park, New York are 43.014 μg/m3.

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

The current sulfur dioxide (SO2) levels in Massapequa Park, New York are 1.195 ppb.

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

The current ozone (O3) levels at Massapequa Park, New York is 27.599 ppm.

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

The current nitrogen dioxide (NO2) levels at Massapequa Park, New York is 18.166 ppb.

Real-time air quality index in Massapequa Park, New York today

Q: What are the current PM2.5 levels in Massapequa Park, New York?

The measured PM2.5 levels in Massapequa Park, New York at present are 9.63 μg/m3.

Stay updated with real-time air quality in Massapequa Park, 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)

Moderate

Massapequa Park, New York

Last updated: ... (Local time)

Common air pollutants in Massapequa Park, New York

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

9.63 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

43.01 μg/m³

155

255

425

605+

Ozone (O₃)

27.60 ppb

201

201+

Sulfur Dioxide (SO₂)

1.20 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

18.17 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.36 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Massapequa Park, New York

Get Live Pollen Counts

Massapequa Park, New York

Scroll To Air Quality Map

Track live Massapequa Park, New York air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-11-01T19:00:00.000Z	29 \| good	4.853 \| good	18.622 \| good	31.181 \| good	0.324 \| good	5.067 \| good	0.232 \| good
2026-11-01T20:00:00.000Z	29 \| good	4.751 \| good	15.177 \| good	30.696 \| good	0.48 \| good	5.7 \| good	0.254 \| good
2026-11-01T21:00:00.000Z	26 \| good	4.362 \| good	19.734 \| good	28.454 \| good	0.458 \| good	8.427 \| good	0.269 \| good
2026-11-01T22:00:00.000Z	27 \| good	5.002 \| good	18.27 \| good	26.465 \| good	0.436 \| good	6.513 \| good	0.297 \| good
2026-11-01T23:00:00.000Z	27 \| good	5.154 \| good	13.475 \| good	24.137 \| good	0.468 \| good	7.276 \| good	0.315 \| good
2026-11-02T00:00:00.000Z	33 \| good	5.993 \| good	21.558 \| good	19.847 \| good	0.407 \| good	14.874 \| good	0.422 \| good
2026-11-02T01:00:00.000Z	44 \| good	8.412 \| good	23.86 \| good	15.162 \| good	0.362 \| good	20.889 \| good	0.465 \| good
2026-11-02T02:00:00.000Z	49 \| good	9.043 \| good	32.349 \| good	10.536 \| good	0.367 \| good	15.941 \| good	0.469 \| good
2026-11-02T03:00:00.000Z	52 \| moderate	9.918 \| good	39.674 \| good	7.921 \| good	0.605 \| good	14.968 \| good	0.437 \| good
2026-11-02T04:00:00.000Z	49 \| good	9.336 \| good	31.844 \| good	9.816 \| good	0.663 \| good	17.735 \| good	0.43 \| good
2026-11-02T05:00:00.000Z	54 \| moderate	10.587 \| good	43.903 \| good	6.316 \| good	0.933 \| good	15.622 \| good	0.422 \| good
2026-11-02T06:00:00.000Z	52 \| moderate	10.063 \| good	29.873 \| good	6.156 \| good	0.708 \| good	19.456 \| good	0.392 \| good
2026-11-02T07:00:00.000Z	52 \| moderate	10.343 \| good	45.936 \| good	5.755 \| good	0.762 \| good	18.342 \| good	0.352 \| good
2026-11-02T08:00:00.000Z	54 \| moderate	11.146 \| good	37.21 \| good	4.097 \| good	0.4 \| good	21.557 \| good	0.348 \| good
2026-11-02T09:00:00.000Z	52 \| moderate	10.127 \| good	24.323 \| good	4.143 \| good	0.611 \| good	21.852 \| good	0.372 \| good
2026-11-02T10:00:00.000Z	49 \| good	8.874 \| good	40.19 \| good	9.349 \| good	0.653 \| good	24.747 \| good	0.341 \| good
2026-11-02T11:00:00.000Z	49 \| good	8.661 \| good	42.024 \| good	8.154 \| good	0.561 \| good	26.628 \| good	0.531 \| good
2026-11-02T12:00:00.000Z	49 \| good	8.701 \| good	36.571 \| good	2.928 \| good	0.707 \| good	26.691 \| good	0.574 \| good
2026-11-02T13:00:00.000Z	52 \| moderate	9.586 \| good	35.143 \| good	4.661 \| good	0.599 \| good	26.413 \| good	0.572 \| good
2026-11-02T14:00:00.000Z	49 \| good	9.184 \| good	40.335 \| good	7.844 \| good	0.94 \| good	24.567 \| good	0.538 \| good
2026-11-02T15:00:00.000Z	49 \| good	8.797 \| good	41.071 \| good	8.682 \| good	0.933 \| good	25.091 \| good	0.477 \| good
2026-11-02T16:00:00.000Z	44 \| good	8.482 \| good	39.862 \| good	12.985 \| good	1.008 \| good	26.256 \| good	0.436 \| good
2026-11-02T17:00:00.000Z	44 \| good	7.532 \| good	33.599 \| good	20.157 \| good	0.963 \| good	13.651 \| good	0.29 \| good
2026-11-02T18:00:00.000Z	27 \| good	4.879 \| good	21.78 \| good	23.976 \| good	1.248 \| good	13.577 \| good	0.283 \| good
2026-11-02T19:00:00.000Z	27 \| good	5.355 \| good	24.231 \| good	28.062 \| good	0.775 \| good	10.75 \| good	0.293 \| good
2026-11-02T20:00:00.000Z	29 \| good	5.115 \| good	25.683 \| good	31.062 \| good	0.553 \| good	15.211 \| good	0.308 \| good
2026-11-02T21:00:00.000Z	31 \| good	3.769 \| good	14.91 \| good	33.647 \| good	0.552 \| good	16.462 \| good	0.311 \| good
2026-11-02T22:00:00.000Z	31 \| good	3.303 \| good	13.076 \| good	34.486 \| good	0.551 \| good	10.702 \| good	0.311 \| good
2026-11-02T23:00:00.000Z	31 \| good	3.728 \| good	17.127 \| good	33.647 \| good	0.493 \| good	9.426 \| good	0.317 \| good
2026-11-03T00:00:00.000Z	30 \| good	4.194 \| good	14.586 \| good	31.921 \| good	0.459 \| good	9.508 \| good	0.378 \| good
2026-11-03T01:00:00.000Z	30 \| good	4.436 \| good	17.926 \| good	31.654 \| good	0.385 \| good	13.086 \| good	0.407 \| good
2026-11-03T02:00:00.000Z	29 \| good	4.958 \| good	14.034 \| good	31.258 \| good	0.43 \| good	17.709 \| good	0.442 \| good
2026-11-03T03:00:00.000Z	33 \| good	5.524 \| good	17.785 \| good	29.006 \| good	0.389 \| good	14.278 \| good	0.36 \| good
2026-11-03T04:00:00.000Z	38 \| good	6.79 \| good	18.236 \| good	23.718 \| good	0.451 \| good	12.287 \| good	0.36 \| good
2026-11-03T05:00:00.000Z	23 \| good	3.61 \| good	24.836 \| good	20.005 \| good	0.635 \| good	16.925 \| good	0.354 \| good
2026-11-03T06:00:00.000Z	22 \| good	4.156 \| good	22.485 \| good	15.461 \| good	0.684 \| good	20.708 \| good	0.35 \| good
2026-11-03T07:00:00.000Z	22 \| good	4.428 \| good	20.546 \| good	14.439 \| good	0.514 \| good	16.383 \| good	0.355 \| good
2026-11-03T08:00:00.000Z	22 \| good	4.493 \| good	18.529 \| good	11.144 \| good	0.458 \| good	20.464 \| good	0.293 \| good
2026-11-03T09:00:00.000Z	31 \| good	4.949 \| good	32.908 \| good	7.479 \| good	0.465 \| good	22.29 \| good	0.323 \| good
2026-11-03T10:00:00.000Z	38 \| good	6.994 \| good	32.003 \| good	5.597 \| good	0.532 \| good	22.176 \| good	0.312 \| good
2026-11-03T11:00:00.000Z	38 \| good	7.157 \| good	19.023 \| good	5.141 \| good	0.524 \| good	19.691 \| good	0.358 \| good
2026-11-03T12:00:00.000Z	52 \| moderate	10.38 \| good	45.77 \| good	5.756 \| good	0.68 \| good	19.221 \| good	0.44 \| good
2026-11-03T13:00:00.000Z	49 \| good	9.222 \| good	45.056 \| good	7.875 \| good	0.634 \| good	23.626 \| good	0.481 \| good
2026-11-03T14:00:00.000Z	52 \| moderate	10.377 \| good	38.327 \| good	9.318 \| good	0.809 \| good	22.241 \| good	0.467 \| good
2026-11-03T15:00:00.000Z	54 \| moderate	10.547 \| good	27.304 \| good	15.252 \| good	1.002 \| good	26.12 \| good	0.445 \| good
2026-11-03T16:00:00.000Z	52 \| moderate	9.931 \| good	43.924 \| good	18.66 \| good	0.872 \| good	19.908 \| good	0.388 \| good
2026-11-03T17:00:00.000Z	52 \| moderate	10.335 \| good	42.165 \| good	21.93 \| good	1.18 \| good	20.101 \| good	0.418 \| good
2026-11-03T18:00:00.000Z	49 \| good	9.246 \| good	41.063 \| good	27.809 \| good	1.203 \| good	17.758 \| good	0.358 \| good
2026-11-03T18:00:00.000Z	52 \| moderate	9.63 \| good	43.014 \| good	27.599 \| good	1.195 \| good	18.166 \| good	0.364 \| good
2026-11-03T19:00:00.000Z	36 \| good	5.401 \| good	23.047 \| good	39.152 \| good	0.858 \| good	9.905 \| good	0.176 \| good
2026-11-03T20:00:00.000Z	36 \| good	3.791 \| good	16.049 \| good	39.01 \| good	0.779 \| good	9.77 \| good	0.173 \| good
2026-11-03T21:00:00.000Z	32 \| good	2.422 \| good	10.013 \| good	35.3 \| good	0.71 \| good	10.657 \| good	0.173 \| good
2026-11-03T22:00:00.000Z	25 \| good	1.711 \| good	6.994 \| good	26.73 \| good	0.657 \| good	14.211 \| good	0.185 \| good
2026-11-03T23:00:00.000Z	19 \| good	1.466 \| good	6.012 \| good	21.4 \| good	0.64 \| good	15.054 \| good	0.188 \| good
2026-11-04T00:00:00.000Z	19 \| good	1.668 \| good	6.98 \| good	19.866 \| good	0.629 \| good	15.513 \| good	0.185 \| good
2026-11-04T01:00:00.000Z	22 \| good	2.166 \| good	8.983 \| good	23.865 \| good	0.619 \| good	15.973 \| good	0.182 \| good
2026-11-04T02:00:00.000Z	27 \| good	2.191 \| good	8.982 \| good	28.697 \| good	0.615 \| good	16.236 \| good	0.18 \| good
2026-11-04T03:00:00.000Z	24 \| good	2.242 \| good	9.006 \| good	26.047 \| good	0.604 \| good	16.35 \| good	0.178 \| good
2026-11-04T04:00:00.000Z	19 \| good	2.502 \| good	10.061 \| good	19.963 \| good	0.588 \| good	15.52 \| good	0.175 \| good
2026-11-04T05:00:00.000Z	17 \| good	2.66 \| good	11.031 \| good	17.891 \| good	0.575 \| good	14.23 \| good	0.17 \| good
2026-11-04T06:00:00.000Z	17 \| good	2.699 \| good	11.027 \| good	17.727 \| good	0.57 \| good	12.684 \| good	0.166 \| good
2026-11-04T07:00:00.000Z	16 \| good	2.313 \| good	9.938 \| good	16.718 \| good	0.567 \| good	11.382 \| good	0.163 \| good
2026-11-04T08:00:00.000Z	13 \| good	1.952 \| good	7.969 \| good	13.986 \| good	0.565 \| good	10.498 \| good	0.16 \| good
2026-11-04T09:00:00.000Z	11 \| good	1.843 \| good	7.948 \| good	9.736 \| good	0.569 \| good	10.164 \| good	0.159 \| good
2026-11-04T10:00:00.000Z	11 \| good	2.242 \| good	9.016 \| good	7.03 \| good	0.581 \| good	10.64 \| good	0.159 \| good
2026-11-04T11:00:00.000Z	12 \| good	1.845 \| good	7.978 \| good	8.917 \| good	0.611 \| good	12.563 \| good	0.166 \| good
2026-11-04T12:00:00.000Z	14 \| good	2.376 \| good	10.018 \| good	8.291 \| good	0.639 \| good	14.663 \| good	0.187 \| good
2026-11-04T13:00:00.000Z	16 \| good	2.611 \| good	10.981 \| good	16.745 \| good	0.65 \| good	13.97 \| good	0.202 \| good
2026-11-04T14:00:00.000Z	24 \| good	3.301 \| good	14.936 \| good	25.987 \| good	0.667 \| good	11.987 \| good	0.18 \| good
2026-11-04T15:00:00.000Z	31 \| good	3.103 \| good	13.938 \| good	34.15 \| good	0.702 \| good	10.671 \| good	0.17 \| good
2026-11-04T16:00:00.000Z	35 \| good	2.913 \| good	12.012 \| good	38.251 \| good	0.711 \| good	9.998 \| good	0.164 \| good
2026-11-04T17:00:00.000Z	36 \| good	2.415 \| good	10.01 \| good	39.049 \| good	0.71 \| good	9.655 \| good	0.161 \| good
2026-11-04T18:00:00.000Z	36 \| good	1.873 \| good	7.985 \| good	38.814 \| good	0.69 \| good	9.137 \| good	0.159 \| good
2026-11-04T19:00:00.000Z	34 \| good	1.714 \| good	7.011 \| good	37.184 \| good	0.64 \| good	8.361 \| good	0.155 \| good
2026-11-04T20:00:00.000Z	34 \| good	1.87 \| good	7.974 \| good	37.318 \| good	0.564 \| good	7.715 \| good	0.15 \| good
2026-11-04T21:00:00.000Z	32 \| good	1.897 \| good	7.982 \| good	34.768 \| good	0.487 \| good	8.698 \| good	0.152 \| good
2026-11-04T22:00:00.000Z	29 \| good	1.788 \| good	7.013 \| good	31.032 \| good	0.435 \| good	10.764 \| good	0.159 \| good
2026-11-04T23:00:00.000Z	26 \| good	1.265 \| good	5.002 \| good	28.441 \| good	0.438 \| good	11.045 \| good	0.155 \| good
2026-11-05T00:00:00.000Z	22 \| good	1.525 \| good	6 \| good	24.404 \| good	0.448 \| good	11.61 \| good	0.15 \| good
2026-11-05T01:00:00.000Z	22 \| good	1.46 \| good	5.995 \| good	23.991 \| good	0.462 \| good	12.084 \| good	0.146 \| good
2026-11-05T02:00:00.000Z	26 \| good	0.894 \| good	3.057 \| good	28.336 \| good	0.473 \| good	12.294 \| good	0.143 \| good
2026-11-05T03:00:00.000Z	23 \| good	1.152 \| good	4.974 \| good	24.611 \| good	0.475 \| good	11.81 \| good	0.14 \| good
2026-11-05T04:00:00.000Z	19 \| good	1.275 \| good	5.019 \| good	19.632 \| good	0.46 \| good	9.939 \| good	0.135 \| good
2026-11-05T05:00:00.000Z	21 \| good	1.624 \| good	6.971 \| good	23.447 \| good	0.438 \| good	7.663 \| good	0.13 \| good
2026-11-05T06:00:00.000Z	25 \| good	2.008 \| good	8.018 \| good	26.922 \| good	0.423 \| good	6.268 \| good	0.126 \| good
2026-11-05T07:00:00.000Z	26 \| good	2.129 \| good	8.96 \| good	27.663 \| good	0.416 \| good	5.678 \| good	0.124 \| good
2026-11-05T08:00:00.000Z	22 \| good	2.162 \| good	9.004 \| good	24.146 \| good	0.416 \| good	5.532 \| good	0.123 \| good
2026-11-05T09:00:00.000Z	20 \| good	2.023 \| good	8.013 \| good	21.592 \| good	0.419 \| good	5.598 \| good	0.123 \| good
2026-11-05T10:00:00.000Z	18 \| good	1.411 \| good	5.977 \| good	18.52 \| good	0.424 \| good	6.038 \| good	0.124 \| good
2026-11-05T11:00:00.000Z	16 \| good	1.157 \| good	4.978 \| good	17.431 \| good	0.443 \| good	7.926 \| good	0.131 \| good
2026-11-05T12:00:00.000Z	16 \| good	1.47 \| good	5.99 \| good	17.001 \| good	0.448 \| good	9.58 \| good	0.142 \| good
2026-11-05T13:00:00.000Z	20 \| good	1.207 \| good	4.989 \| good	22.258 \| good	0.421 \| good	9.522 \| good	0.146 \| good
2026-11-05T14:00:00.000Z	26 \| good	1.458 \| good	5.994 \| good	27.745 \| good	0.41 \| good	9.98 \| good	0.152 \| good
2026-11-05T15:00:00.000Z	31 \| good	2.21 \| good	9.008 \| good	33.768 \| good	0.383 \| good	9.029 \| good	0.143 \| good
2026-11-05T16:00:00.000Z	36 \| good	2.322 \| good	9.965 \| good	38.573 \| good	0.354 \| good	7.053 \| good	0.133 \| good
2026-11-05T17:00:00.000Z	35 \| good	2.323 \| good	9.956 \| good	37.685 \| good	0.324 \| good	5.214 \| good	0.126 \| good
2026-11-05T18:00:00.000Z	33 \| good	2.478 \| good	10.049 \| good	35.602 \| good	0.305 \| good	4.8 \| good	0.124 \| good

Massapequa Park

Empower business decisions with accurate air quality data

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

0.44ppm

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 Massapequa Park, New York updated?

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

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

The worst air quality in Massapequa Park, New York was recorded at 03:00:00 on 2026-11-03.

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

The best air quality in Massapequa Park, New York was recorded at 08:00:00 on 2026-11-03.

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

The real-time air quality index in Massapequa Park, New York is 52, currently categorized as Moderate.

Which pollutant is found most often in Massapequa Park, New York?

The most common pollutant in Massapequa Park, New York is PM2.5.

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

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

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

The measured PM_2.5 levels in Massapequa Park, New York at present are 9.63 μg/m³.

What are the current PM₁₀ levels at Massapequa Park, New York?

The current PM₁₀ levels in Massapequa Park, New York are 43.014 μg/m³.

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

The current carbon monoxide (CO) level in Massapequa Park, New York is 0.364 ppm.

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

The current sulfur dioxide (SO₂) levels in Massapequa Park, New York are 1.195 ppb.

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

The current ozone (O₃) levels at Massapequa Park, New York is 27.599 ppm.

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

The current nitrogen dioxide (NO₂) levels at Massapequa Park, New York is 18.166 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-11-01T19:00:00.000Z	29 \| good	4.853 \| good	18.622 \| good	31.181 \| good	0.324 \| good	5.067 \| good	0.232 \| good
2026-11-01T20:00:00.000Z	29 \| good	4.751 \| good	15.177 \| good	30.696 \| good	0.48 \| good	5.7 \| good	0.254 \| good
2026-11-01T21:00:00.000Z	26 \| good	4.362 \| good	19.734 \| good	28.454 \| good	0.458 \| good	8.427 \| good	0.269 \| good
2026-11-01T22:00:00.000Z	27 \| good	5.002 \| good	18.27 \| good	26.465 \| good	0.436 \| good	6.513 \| good	0.297 \| good
2026-11-01T23:00:00.000Z	27 \| good	5.154 \| good	13.475 \| good	24.137 \| good	0.468 \| good	7.276 \| good	0.315 \| good
2026-11-02T00:00:00.000Z	33 \| good	5.993 \| good	21.558 \| good	19.847 \| good	0.407 \| good	14.874 \| good	0.422 \| good
2026-11-02T01:00:00.000Z	44 \| good	8.412 \| good	23.86 \| good	15.162 \| good	0.362 \| good	20.889 \| good	0.465 \| good
2026-11-02T02:00:00.000Z	49 \| good	9.043 \| good	32.349 \| good	10.536 \| good	0.367 \| good	15.941 \| good	0.469 \| good
2026-11-02T03:00:00.000Z	52 \| moderate	9.918 \| good	39.674 \| good	7.921 \| good	0.605 \| good	14.968 \| good	0.437 \| good
2026-11-02T04:00:00.000Z	49 \| good	9.336 \| good	31.844 \| good	9.816 \| good	0.663 \| good	17.735 \| good	0.43 \| good
2026-11-02T05:00:00.000Z	54 \| moderate	10.587 \| good	43.903 \| good	6.316 \| good	0.933 \| good	15.622 \| good	0.422 \| good
2026-11-02T06:00:00.000Z	52 \| moderate	10.063 \| good	29.873 \| good	6.156 \| good	0.708 \| good	19.456 \| good	0.392 \| good
2026-11-02T07:00:00.000Z	52 \| moderate	10.343 \| good	45.936 \| good	5.755 \| good	0.762 \| good	18.342 \| good	0.352 \| good
2026-11-02T08:00:00.000Z	54 \| moderate	11.146 \| good	37.21 \| good	4.097 \| good	0.4 \| good	21.557 \| good	0.348 \| good
2026-11-02T09:00:00.000Z	52 \| moderate	10.127 \| good	24.323 \| good	4.143 \| good	0.611 \| good	21.852 \| good	0.372 \| good
2026-11-02T10:00:00.000Z	49 \| good	8.874 \| good	40.19 \| good	9.349 \| good	0.653 \| good	24.747 \| good	0.341 \| good
2026-11-02T11:00:00.000Z	49 \| good	8.661 \| good	42.024 \| good	8.154 \| good	0.561 \| good	26.628 \| good	0.531 \| good
2026-11-02T12:00:00.000Z	49 \| good	8.701 \| good	36.571 \| good	2.928 \| good	0.707 \| good	26.691 \| good	0.574 \| good
2026-11-02T13:00:00.000Z	52 \| moderate	9.586 \| good	35.143 \| good	4.661 \| good	0.599 \| good	26.413 \| good	0.572 \| good
2026-11-02T14:00:00.000Z	49 \| good	9.184 \| good	40.335 \| good	7.844 \| good	0.94 \| good	24.567 \| good	0.538 \| good
2026-11-02T15:00:00.000Z	49 \| good	8.797 \| good	41.071 \| good	8.682 \| good	0.933 \| good	25.091 \| good	0.477 \| good
2026-11-02T16:00:00.000Z	44 \| good	8.482 \| good	39.862 \| good	12.985 \| good	1.008 \| good	26.256 \| good	0.436 \| good
2026-11-02T17:00:00.000Z	44 \| good	7.532 \| good	33.599 \| good	20.157 \| good	0.963 \| good	13.651 \| good	0.29 \| good
2026-11-02T18:00:00.000Z	27 \| good	4.879 \| good	21.78 \| good	23.976 \| good	1.248 \| good	13.577 \| good	0.283 \| good
2026-11-02T19:00:00.000Z	27 \| good	5.355 \| good	24.231 \| good	28.062 \| good	0.775 \| good	10.75 \| good	0.293 \| good
2026-11-02T20:00:00.000Z	29 \| good	5.115 \| good	25.683 \| good	31.062 \| good	0.553 \| good	15.211 \| good	0.308 \| good
2026-11-02T21:00:00.000Z	31 \| good	3.769 \| good	14.91 \| good	33.647 \| good	0.552 \| good	16.462 \| good	0.311 \| good
2026-11-02T22:00:00.000Z	31 \| good	3.303 \| good	13.076 \| good	34.486 \| good	0.551 \| good	10.702 \| good	0.311 \| good
2026-11-02T23:00:00.000Z	31 \| good	3.728 \| good	17.127 \| good	33.647 \| good	0.493 \| good	9.426 \| good	0.317 \| good
2026-11-03T00:00:00.000Z	30 \| good	4.194 \| good	14.586 \| good	31.921 \| good	0.459 \| good	9.508 \| good	0.378 \| good
2026-11-03T01:00:00.000Z	30 \| good	4.436 \| good	17.926 \| good	31.654 \| good	0.385 \| good	13.086 \| good	0.407 \| good
2026-11-03T02:00:00.000Z	29 \| good	4.958 \| good	14.034 \| good	31.258 \| good	0.43 \| good	17.709 \| good	0.442 \| good
2026-11-03T03:00:00.000Z	33 \| good	5.524 \| good	17.785 \| good	29.006 \| good	0.389 \| good	14.278 \| good	0.36 \| good
2026-11-03T04:00:00.000Z	38 \| good	6.79 \| good	18.236 \| good	23.718 \| good	0.451 \| good	12.287 \| good	0.36 \| good
2026-11-03T05:00:00.000Z	23 \| good	3.61 \| good	24.836 \| good	20.005 \| good	0.635 \| good	16.925 \| good	0.354 \| good
2026-11-03T06:00:00.000Z	22 \| good	4.156 \| good	22.485 \| good	15.461 \| good	0.684 \| good	20.708 \| good	0.35 \| good
2026-11-03T07:00:00.000Z	22 \| good	4.428 \| good	20.546 \| good	14.439 \| good	0.514 \| good	16.383 \| good	0.355 \| good
2026-11-03T08:00:00.000Z	22 \| good	4.493 \| good	18.529 \| good	11.144 \| good	0.458 \| good	20.464 \| good	0.293 \| good
2026-11-03T09:00:00.000Z	31 \| good	4.949 \| good	32.908 \| good	7.479 \| good	0.465 \| good	22.29 \| good	0.323 \| good
2026-11-03T10:00:00.000Z	38 \| good	6.994 \| good	32.003 \| good	5.597 \| good	0.532 \| good	22.176 \| good	0.312 \| good
2026-11-03T11:00:00.000Z	38 \| good	7.157 \| good	19.023 \| good	5.141 \| good	0.524 \| good	19.691 \| good	0.358 \| good
2026-11-03T12:00:00.000Z	52 \| moderate	10.38 \| good	45.77 \| good	5.756 \| good	0.68 \| good	19.221 \| good	0.44 \| good
2026-11-03T13:00:00.000Z	49 \| good	9.222 \| good	45.056 \| good	7.875 \| good	0.634 \| good	23.626 \| good	0.481 \| good
2026-11-03T14:00:00.000Z	52 \| moderate	10.377 \| good	38.327 \| good	9.318 \| good	0.809 \| good	22.241 \| good	0.467 \| good
2026-11-03T15:00:00.000Z	54 \| moderate	10.547 \| good	27.304 \| good	15.252 \| good	1.002 \| good	26.12 \| good	0.445 \| good
2026-11-03T16:00:00.000Z	52 \| moderate	9.931 \| good	43.924 \| good	18.66 \| good	0.872 \| good	19.908 \| good	0.388 \| good
2026-11-03T17:00:00.000Z	52 \| moderate	10.335 \| good	42.165 \| good	21.93 \| good	1.18 \| good	20.101 \| good	0.418 \| good
2026-11-03T18:00:00.000Z	49 \| good	9.246 \| good	41.063 \| good	27.809 \| good	1.203 \| good	17.758 \| good	0.358 \| good
2026-11-03T18:00:00.000Z	52 \| moderate	9.63 \| good	43.014 \| good	27.599 \| good	1.195 \| good	18.166 \| good	0.364 \| good
2026-11-03T19:00:00.000Z	36 \| good	5.401 \| good	23.047 \| good	39.152 \| good	0.858 \| good	9.905 \| good	0.176 \| good
2026-11-03T20:00:00.000Z	36 \| good	3.791 \| good	16.049 \| good	39.01 \| good	0.779 \| good	9.77 \| good	0.173 \| good
2026-11-03T21:00:00.000Z	32 \| good	2.422 \| good	10.013 \| good	35.3 \| good	0.71 \| good	10.657 \| good	0.173 \| good
2026-11-03T22:00:00.000Z	25 \| good	1.711 \| good	6.994 \| good	26.73 \| good	0.657 \| good	14.211 \| good	0.185 \| good
2026-11-03T23:00:00.000Z	19 \| good	1.466 \| good	6.012 \| good	21.4 \| good	0.64 \| good	15.054 \| good	0.188 \| good
2026-11-04T00:00:00.000Z	19 \| good	1.668 \| good	6.98 \| good	19.866 \| good	0.629 \| good	15.513 \| good	0.185 \| good
2026-11-04T01:00:00.000Z	22 \| good	2.166 \| good	8.983 \| good	23.865 \| good	0.619 \| good	15.973 \| good	0.182 \| good
2026-11-04T02:00:00.000Z	27 \| good	2.191 \| good	8.982 \| good	28.697 \| good	0.615 \| good	16.236 \| good	0.18 \| good
2026-11-04T03:00:00.000Z	24 \| good	2.242 \| good	9.006 \| good	26.047 \| good	0.604 \| good	16.35 \| good	0.178 \| good
2026-11-04T04:00:00.000Z	19 \| good	2.502 \| good	10.061 \| good	19.963 \| good	0.588 \| good	15.52 \| good	0.175 \| good
2026-11-04T05:00:00.000Z	17 \| good	2.66 \| good	11.031 \| good	17.891 \| good	0.575 \| good	14.23 \| good	0.17 \| good
2026-11-04T06:00:00.000Z	17 \| good	2.699 \| good	11.027 \| good	17.727 \| good	0.57 \| good	12.684 \| good	0.166 \| good
2026-11-04T07:00:00.000Z	16 \| good	2.313 \| good	9.938 \| good	16.718 \| good	0.567 \| good	11.382 \| good	0.163 \| good
2026-11-04T08:00:00.000Z	13 \| good	1.952 \| good	7.969 \| good	13.986 \| good	0.565 \| good	10.498 \| good	0.16 \| good
2026-11-04T09:00:00.000Z	11 \| good	1.843 \| good	7.948 \| good	9.736 \| good	0.569 \| good	10.164 \| good	0.159 \| good
2026-11-04T10:00:00.000Z	11 \| good	2.242 \| good	9.016 \| good	7.03 \| good	0.581 \| good	10.64 \| good	0.159 \| good
2026-11-04T11:00:00.000Z	12 \| good	1.845 \| good	7.978 \| good	8.917 \| good	0.611 \| good	12.563 \| good	0.166 \| good
2026-11-04T12:00:00.000Z	14 \| good	2.376 \| good	10.018 \| good	8.291 \| good	0.639 \| good	14.663 \| good	0.187 \| good
2026-11-04T13:00:00.000Z	16 \| good	2.611 \| good	10.981 \| good	16.745 \| good	0.65 \| good	13.97 \| good	0.202 \| good
2026-11-04T14:00:00.000Z	24 \| good	3.301 \| good	14.936 \| good	25.987 \| good	0.667 \| good	11.987 \| good	0.18 \| good
2026-11-04T15:00:00.000Z	31 \| good	3.103 \| good	13.938 \| good	34.15 \| good	0.702 \| good	10.671 \| good	0.17 \| good
2026-11-04T16:00:00.000Z	35 \| good	2.913 \| good	12.012 \| good	38.251 \| good	0.711 \| good	9.998 \| good	0.164 \| good
2026-11-04T17:00:00.000Z	36 \| good	2.415 \| good	10.01 \| good	39.049 \| good	0.71 \| good	9.655 \| good	0.161 \| good
2026-11-04T18:00:00.000Z	36 \| good	1.873 \| good	7.985 \| good	38.814 \| good	0.69 \| good	9.137 \| good	0.159 \| good
2026-11-04T19:00:00.000Z	34 \| good	1.714 \| good	7.011 \| good	37.184 \| good	0.64 \| good	8.361 \| good	0.155 \| good
2026-11-04T20:00:00.000Z	34 \| good	1.87 \| good	7.974 \| good	37.318 \| good	0.564 \| good	7.715 \| good	0.15 \| good
2026-11-04T21:00:00.000Z	32 \| good	1.897 \| good	7.982 \| good	34.768 \| good	0.487 \| good	8.698 \| good	0.152 \| good
2026-11-04T22:00:00.000Z	29 \| good	1.788 \| good	7.013 \| good	31.032 \| good	0.435 \| good	10.764 \| good	0.159 \| good
2026-11-04T23:00:00.000Z	26 \| good	1.265 \| good	5.002 \| good	28.441 \| good	0.438 \| good	11.045 \| good	0.155 \| good
2026-11-05T00:00:00.000Z	22 \| good	1.525 \| good	6 \| good	24.404 \| good	0.448 \| good	11.61 \| good	0.15 \| good
2026-11-05T01:00:00.000Z	22 \| good	1.46 \| good	5.995 \| good	23.991 \| good	0.462 \| good	12.084 \| good	0.146 \| good
2026-11-05T02:00:00.000Z	26 \| good	0.894 \| good	3.057 \| good	28.336 \| good	0.473 \| good	12.294 \| good	0.143 \| good
2026-11-05T03:00:00.000Z	23 \| good	1.152 \| good	4.974 \| good	24.611 \| good	0.475 \| good	11.81 \| good	0.14 \| good
2026-11-05T04:00:00.000Z	19 \| good	1.275 \| good	5.019 \| good	19.632 \| good	0.46 \| good	9.939 \| good	0.135 \| good
2026-11-05T05:00:00.000Z	21 \| good	1.624 \| good	6.971 \| good	23.447 \| good	0.438 \| good	7.663 \| good	0.13 \| good
2026-11-05T06:00:00.000Z	25 \| good	2.008 \| good	8.018 \| good	26.922 \| good	0.423 \| good	6.268 \| good	0.126 \| good
2026-11-05T07:00:00.000Z	26 \| good	2.129 \| good	8.96 \| good	27.663 \| good	0.416 \| good	5.678 \| good	0.124 \| good
2026-11-05T08:00:00.000Z	22 \| good	2.162 \| good	9.004 \| good	24.146 \| good	0.416 \| good	5.532 \| good	0.123 \| good
2026-11-05T09:00:00.000Z	20 \| good	2.023 \| good	8.013 \| good	21.592 \| good	0.419 \| good	5.598 \| good	0.123 \| good
2026-11-05T10:00:00.000Z	18 \| good	1.411 \| good	5.977 \| good	18.52 \| good	0.424 \| good	6.038 \| good	0.124 \| good
2026-11-05T11:00:00.000Z	16 \| good	1.157 \| good	4.978 \| good	17.431 \| good	0.443 \| good	7.926 \| good	0.131 \| good
2026-11-05T12:00:00.000Z	16 \| good	1.47 \| good	5.99 \| good	17.001 \| good	0.448 \| good	9.58 \| good	0.142 \| good
2026-11-05T13:00:00.000Z	20 \| good	1.207 \| good	4.989 \| good	22.258 \| good	0.421 \| good	9.522 \| good	0.146 \| good
2026-11-05T14:00:00.000Z	26 \| good	1.458 \| good	5.994 \| good	27.745 \| good	0.41 \| good	9.98 \| good	0.152 \| good
2026-11-05T15:00:00.000Z	31 \| good	2.21 \| good	9.008 \| good	33.768 \| good	0.383 \| good	9.029 \| good	0.143 \| good
2026-11-05T16:00:00.000Z	36 \| good	2.322 \| good	9.965 \| good	38.573 \| good	0.354 \| good	7.053 \| good	0.133 \| good
2026-11-05T17:00:00.000Z	35 \| good	2.323 \| good	9.956 \| good	37.685 \| good	0.324 \| good	5.214 \| good	0.126 \| good
2026-11-05T18:00:00.000Z	33 \| good	2.478 \| good	10.049 \| good	35.602 \| good	0.305 \| good	4.8 \| good	0.124 \| good

Real-time air quality index in Massapequa Park, New York today

Common air pollutants in Massapequa Park, New York

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Massapequa Park, New York air quality forecast and history

Empower business decisions with accurate air quality data

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

Air quality in nearby cities

Lindenhurst, New York

Babylon, New York

Freeport, New York

Westbury, New York

Hempstead, New York

Rockville Centre, New York

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 Massapequa Park, New York updated?

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

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

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

Which pollutant is found most often in Massapequa Park, New York?

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

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

What are the current PM10 levels at Massapequa Park, New York?

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

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

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

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

What are the current PM₁₀ levels at Massapequa Park, New York?

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

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

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