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

The current PM10 levels in Wappinger, New York are 6.44 μg/m3.

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

The current sulfur dioxide (SO2) levels in Wappinger, New York are 0.243 ppb.

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

The current ozone (O3) levels at Wappinger, New York is 21.157 ppm.

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

The current nitrogen dioxide (NO2) levels at Wappinger, New York is 5.554 ppb.

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

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

Stay updated with real-time air quality in Wappinger, 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

Wappinger, New York

Last updated: ... (Local time)

Common air pollutants in Wappinger, 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)

6.44 μg/m³

155

255

425

605+

Ozone (O₃)

21.16 ppb

201

201+

Sulfur Dioxide (SO₂)

0.24 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

5.55 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.10 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Wappinger, New York

Get Live Pollen Counts

Wappinger, New York

Scroll To Air Quality Map

Track live Wappinger, New York air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T09:00:00.000Z	49 \| good	9.361 \| good	28.632 \| good	6.213 \| good	0.145 \| good	19.553 \| good	0.332 \| good
2025-10-19T10:00:00.000Z	54 \| moderate	10.833 \| good	40.636 \| good	5.116 \| good	0.156 \| good	17.742 \| good	0.316 \| good
2025-10-19T11:00:00.000Z	49 \| good	9.357 \| good	28.039 \| good	4.643 \| good	0.244 \| good	20.422 \| good	0.363 \| good
2025-10-19T12:00:00.000Z	44 \| good	7.766 \| good	35.524 \| good	6.815 \| good	0.404 \| good	22.122 \| good	0.482 \| good
2025-10-19T13:00:00.000Z	44 \| good	7.815 \| good	32.238 \| good	6.782 \| good	0.439 \| good	19.721 \| good	0.543 \| good
2025-10-19T14:00:00.000Z	49 \| good	8.598 \| good	32.236 \| good	7.491 \| good	0.379 \| good	12.015 \| good	0.273 \| good
2025-10-19T15:00:00.000Z	49 \| good	8.692 \| good	24.792 \| good	16.874 \| good	0.298 \| good	11.651 \| good	0.273 \| good
2025-10-19T16:00:00.000Z	38 \| good	6.648 \| good	27.274 \| good	27.154 \| good	0.297 \| good	10.75 \| good	0.256 \| good
2025-10-19T17:00:00.000Z	44 \| good	7.883 \| good	30.087 \| good	32.521 \| good	0.164 \| good	4.765 \| good	0.246 \| good
2025-10-19T18:00:00.000Z	32 \| good	5.16 \| good	22.451 \| good	35.357 \| good	0.293 \| good	4.626 \| good	0.241 \| good
2025-10-19T19:00:00.000Z	36 \| good	4.659 \| good	12.497 \| good	39.377 \| good	0.344 \| good	4.365 \| good	0.203 \| good
2025-10-19T20:00:00.000Z	39 \| good	4.834 \| good	15.439 \| good	41.855 \| good	0.206 \| good	2.218 \| good	0.216 \| good
2025-10-19T21:00:00.000Z	38 \| good	5.115 \| good	18.821 \| good	41.331 \| good	0.225 \| good	2.745 \| good	0.216 \| good
2025-10-19T22:00:00.000Z	44 \| good	8.351 \| good	38.609 \| good	44.243 \| good	0.332 \| good	3.782 \| good	0.217 \| good
2025-10-19T23:00:00.000Z	44 \| good	7.791 \| good	40.397 \| good	44.584 \| good	0.266 \| good	4.174 \| good	0.233 \| good
2025-10-20T00:00:00.000Z	41 \| good	6.409 \| good	30.938 \| good	44.184 \| good	0.266 \| good	5.713 \| good	0.233 \| good
2025-10-20T01:00:00.000Z	40 \| good	5.245 \| good	8.137 \| good	43.108 \| good	0.263 \| good	4.783 \| good	0.219 \| good
2025-10-20T02:00:00.000Z	38 \| good	5.724 \| good	13.827 \| good	40.919 \| good	0.205 \| good	5.804 \| good	0.203 \| good
2025-10-20T03:00:00.000Z	38 \| good	6.761 \| good	28.924 \| good	39.848 \| good	0.219 \| good	5.301 \| good	0.183 \| good
2025-10-20T04:00:00.000Z	36 \| good	5.397 \| good	19.58 \| good	38.664 \| good	0.218 \| good	4.494 \| good	0.183 \| good
2025-10-20T05:00:00.000Z	40 \| good	5.829 \| good	24.843 \| good	43.075 \| good	0.244 \| good	4.423 \| good	0.183 \| good
2025-10-20T06:00:00.000Z	38 \| good	4.329 \| good	26.865 \| good	41.142 \| good	0.247 \| good	3.426 \| good	0.168 \| good
2025-10-20T07:00:00.000Z	34 \| good	3.688 \| good	17.016 \| good	37.309 \| good	0.221 \| good	3.301 \| good	0.169 \| good
2025-10-20T08:00:00.000Z	37 \| good	4.829 \| good	27.145 \| good	39.883 \| good	0.3 \| good	3.283 \| good	0.149 \| good
2025-10-20T09:00:00.000Z	35 \| good	3.307 \| good	10.056 \| good	37.924 \| good	0.301 \| good	3.736 \| good	0.149 \| good
2025-10-20T10:00:00.000Z	36 \| good	3.855 \| good	8.324 \| good	38.821 \| good	0.239 \| good	3.437 \| good	0.151 \| good
2025-10-20T11:00:00.000Z	33 \| good	3.906 \| good	7.8 \| good	36.102 \| good	0.324 \| good	3.794 \| good	0.191 \| good
2025-10-20T12:00:00.000Z	34 \| good	1.848 \| good	6.495 \| good	37.273 \| good	0.339 \| good	5.134 \| good	0.203 \| good
2025-10-20T13:00:00.000Z	35 \| good	4.531 \| good	9.42 \| good	37.547 \| good	0.369 \| good	7.802 \| good	0.203 \| good
2025-10-20T14:00:00.000Z	30 \| good	2.718 \| good	6.326 \| good	32.126 \| good	0.272 \| good	4.012 \| good	0.221 \| good
2025-10-20T15:00:00.000Z	27 \| good	3.12 \| good	14.9 \| good	29.321 \| good	0.204 \| good	2.841 \| good	0.203 \| good
2025-10-20T16:00:00.000Z	28 \| good	3.03 \| good	9.99 \| good	29.708 \| good	0.687 \| good	2.974 \| good	0.17 \| good
2025-10-20T17:00:00.000Z	25 \| good	1.081 \| good	7.338 \| good	26.532 \| good	0.482 \| good	4.264 \| good	0.17 \| good
2025-10-20T18:00:00.000Z	26 \| good	0.993 \| good	4.608 \| good	28.138 \| good	0.933 \| good	5.66 \| good	0.17 \| good
2025-10-20T19:00:00.000Z	22 \| good	1.804 \| good	5.854 \| good	23.935 \| good	0.234 \| good	4.181 \| good	0.151 \| good
2025-10-20T20:00:00.000Z	24 \| good	1.709 \| good	8.389 \| good	25.697 \| good	0.331 \| good	3.106 \| good	0.135 \| good
2025-10-20T21:00:00.000Z	22 \| good	2.047 \| good	6.628 \| good	23.515 \| good	0.267 \| good	6.71 \| good	0.178 \| good
2025-10-20T22:00:00.000Z	24 \| good	2.813 \| good	13.096 \| good	26.44 \| good	0.547 \| good	5.259 \| good	0.135 \| good
2025-10-20T23:00:00.000Z	23 \| good	1.654 \| good	8.603 \| good	24.541 \| good	0.264 \| good	5.725 \| good	0.116 \| good
2025-10-21T00:00:00.000Z	23 \| good	1.609 \| good	4.588 \| good	24.973 \| good	0.263 \| good	5.993 \| good	0.151 \| good
2025-10-21T01:00:00.000Z	22 \| good	2.643 \| good	9.159 \| good	24.097 \| good	0.283 \| good	5.899 \| good	0.151 \| good
2025-10-21T02:00:00.000Z	22 \| good	2.906 \| good	8.536 \| good	24.021 \| good	0.283 \| good	6.521 \| good	0.151 \| good
2025-10-21T03:00:00.000Z	24 \| good	3.269 \| good	13.915 \| good	25.916 \| good	0.493 \| good	2.414 \| good	0.124 \| good
2025-10-21T04:00:00.000Z	19 \| good	2.586 \| good	11.215 \| good	21.481 \| good	0.262 \| good	4.56 \| good	0.132 \| good
2025-10-21T05:00:00.000Z	27 \| good	4.595 \| good	16.705 \| good	20.871 \| good	0.262 \| good	4.172 \| good	0.132 \| good
2025-10-21T06:00:00.000Z	19 \| good	2.883 \| good	11.395 \| good	20.334 \| good	0.263 \| good	3.923 \| good	0.116 \| good
2025-10-21T07:00:00.000Z	19 \| good	2.779 \| good	6.44 \| good	21.157 \| good	0.243 \| good	5.554 \| good	0.1 \| good
2025-10-21T08:00:00.000Z	21 \| good	2.964 \| good	8.301 \| good	22.724 \| good	0.23 \| good	4.878 \| good	0.117 \| good
2025-10-21T08:00:00.000Z	19 \| good	2.779 \| good	6.44 \| good	21.157 \| good	0.243 \| good	5.554 \| good	0.1 \| good
2025-10-21T09:00:00.000Z	19 \| good	1.583 \| good	6.083 \| good	21.045 \| good	0.429 \| good	2.165 \| good	0.125 \| good
2025-10-21T10:00:00.000Z	19 \| good	0.906 \| good	3.837 \| good	21.051 \| good	0.433 \| good	2.744 \| good	0.131 \| good
2025-10-21T11:00:00.000Z	17 \| good	0.977 \| good	3.923 \| good	18.12 \| good	0.437 \| good	3.323 \| good	0.137 \| good
2025-10-21T12:00:00.000Z	17 \| good	2.485 \| good	10 \| good	18.431 \| good	0.441 \| good	3.902 \| good	0.143 \| good
2025-10-21T13:00:00.000Z	21 \| good	1.223 \| good	4.978 \| good	22.657 \| good	0.483 \| good	3.252 \| good	0.139 \| good
2025-10-21T14:00:00.000Z	25 \| good	2.223 \| good	8.968 \| good	26.611 \| good	0.526 \| good	2.602 \| good	0.134 \| good
2025-10-21T15:00:00.000Z	29 \| good	3.308 \| good	14.908 \| good	31.32 \| good	0.568 \| good	1.952 \| good	0.13 \| good
2025-10-21T16:00:00.000Z	31 \| good	2.463 \| good	10.006 \| good	34.408 \| good	1.42 \| good	2.153 \| good	0.131 \| good
2025-10-21T17:00:00.000Z	33 \| good	3.556 \| good	15.913 \| good	36.205 \| good	2.271 \| good	2.355 \| good	0.133 \| good
2025-10-21T18:00:00.000Z	34 \| good	6.323 \| good	28.059 \| good	37.404 \| good	3.122 \| good	2.556 \| good	0.135 \| good
2025-10-21T19:00:00.000Z	37 \| good	4.309 \| good	18.95 \| good	40.126 \| good	3.331 \| good	3.937 \| good	0.143 \| good
2025-10-21T20:00:00.000Z	37 \| good	4.601 \| good	19.945 \| good	39.601 \| good	3.539 \| good	5.319 \| good	0.15 \| good
2025-10-21T21:00:00.000Z	33 \| good	5.562 \| good	23.855 \| good	33.214 \| good	3.748 \| good	6.701 \| good	0.158 \| good
2025-10-21T22:00:00.000Z	38 \| good	7.298 \| good	31.883 \| good	29.578 \| good	3.518 \| good	8.541 \| good	0.17 \| good
2025-10-21T23:00:00.000Z	44 \| good	7.986 \| good	34.97 \| good	27.899 \| good	3.288 \| good	10.381 \| good	0.183 \| good
2025-10-22T00:00:00.000Z	38 \| good	7.094 \| good	31.779 \| good	26.367 \| good	3.058 \| good	12.221 \| good	0.195 \| good
2025-10-22T01:00:00.000Z	38 \| good	7.374 \| good	32.567 \| good	22.031 \| good	2.822 \| good	11.635 \| good	0.194 \| good
2025-10-22T02:00:00.000Z	49 \| good	8.509 \| good	36.851 \| good	22.652 \| good	2.585 \| good	11.049 \| good	0.192 \| good
2025-10-22T03:00:00.000Z	49 \| good	9.051 \| good	40.703 \| good	23.547 \| good	2.349 \| good	10.462 \| good	0.191 \| good
2025-10-22T04:00:00.000Z	27 \| good	5.27 \| good	22.957 \| good	26.698 \| good	2.185 \| good	9.432 \| good	0.184 \| good
2025-10-22T05:00:00.000Z	33 \| good	5.672 \| good	24.172 \| good	29.198 \| good	2.021 \| good	8.403 \| good	0.178 \| good
2025-10-22T06:00:00.000Z	27 \| good	3.251 \| good	13.922 \| good	28.972 \| good	1.857 \| good	7.373 \| good	0.171 \| good
2025-10-22T07:00:00.000Z	33 \| good	5.514 \| good	23.957 \| good	26.646 \| good	1.782 \| good	6.955 \| good	0.169 \| good
2025-10-22T08:00:00.000Z	29 \| good	3.637 \| good	15.893 \| good	30.734 \| good	1.707 \| good	6.537 \| good	0.166 \| good
2025-10-22T09:00:00.000Z	29 \| good	5.141 \| good	22.056 \| good	31.002 \| good	1.633 \| good	6.119 \| good	0.163 \| good
2025-10-22T10:00:00.000Z	29 \| good	3.966 \| good	17.042 \| good	31.087 \| good	1.735 \| good	7.258 \| good	0.172 \| good
2025-10-22T11:00:00.000Z	27 \| good	5.057 \| good	21.941 \| good	26.034 \| good	1.837 \| good	8.397 \| good	0.18 \| good
2025-10-22T12:00:00.000Z	33 \| good	6.41 \| good	28.875 \| good	25.926 \| good	1.939 \| good	9.536 \| good	0.189 \| good
2025-10-22T13:00:00.000Z	28 \| good	4.487 \| good	19.847 \| good	29.995 \| good	2.243 \| good	7.533 \| good	0.18 \| good
2025-10-22T14:00:00.000Z	32 \| good	3.248 \| good	13.891 \| good	34.985 \| good	2.547 \| good	5.53 \| good	0.172 \| good
2025-10-22T15:00:00.000Z	34 \| good	1.976 \| good	7.992 \| good	36.558 \| good	2.851 \| good	3.527 \| good	0.164 \| good
2025-10-22T16:00:00.000Z	34 \| good	1.065 \| good	4.098 \| good	36.682 \| good	2.474 \| good	2.702 \| good	0.151 \| good
2025-10-22T17:00:00.000Z	34 \| good	0.815 \| good	3.026 \| good	37.487 \| good	2.097 \| good	1.876 \| good	0.139 \| good
2025-10-22T18:00:00.000Z	34 \| good	0.894 \| good	3.866 \| good	37.447 \| good	1.72 \| good	1.05 \| good	0.127 \| good
2025-10-22T19:00:00.000Z	33 \| good	1.414 \| good	5.934 \| good	35.822 \| good	1.53 \| good	1.167 \| good	0.126 \| good
2025-10-22T20:00:00.000Z	31 \| good	1.08 \| good	4.011 \| good	33.09 \| good	1.341 \| good	1.283 \| good	0.125 \| good
2025-10-22T21:00:00.000Z	31 \| good	1.238 \| good	4.933 \| good	33.222 \| good	1.152 \| good	1.399 \| good	0.124 \| good
2025-10-22T22:00:00.000Z	29 \| good	1.557 \| good	6.011 \| good	30.922 \| good	1.221 \| good	2.326 \| good	0.132 \| good
2025-10-22T23:00:00.000Z	27 \| good	4.368 \| good	19 \| good	29.461 \| good	1.29 \| good	3.254 \| good	0.14 \| good
2025-10-23T00:00:00.000Z	22 \| good	3.876 \| good	16.913 \| good	20.699 \| good	1.358 \| good	4.181 \| good	0.148 \| good
2025-10-23T01:00:00.000Z	19 \| good	1.874 \| good	7.864 \| good	21.439 \| good	1.44 \| good	4.74 \| good	0.153 \| good
2025-10-23T02:00:00.000Z	19 \| good	2.69 \| good	10.998 \| good	20.172 \| good	1.521 \| good	5.298 \| good	0.159 \| good
2025-10-23T03:00:00.000Z	19 \| good	3.221 \| good	13.868 \| good	19.955 \| good	1.603 \| good	5.857 \| good	0.164 \| good
2025-10-23T04:00:00.000Z	18 \| good	1.716 \| good	6.928 \| good	19.21 \| good	1.761 \| good	5.855 \| good	0.163 \| good
2025-10-23T05:00:00.000Z	22 \| good	4.002 \| good	17.912 \| good	19.503 \| good	1.919 \| good	5.854 \| good	0.161 \| good
2025-10-23T06:00:00.000Z	27 \| good	5.156 \| good	5.159 \| good	21.977 \| good	2.075 \| good	5.785 \| good	0.16 \| good
2025-10-23T07:00:00.000Z	19 \| good	2.709 \| good	11.017 \| good	19.928 \| good	2.253 \| good	5.494 \| good	0.157 \| good
2025-10-23T08:00:00.000Z	18 \| good	2.579 \| good	10.093 \| good	18.526 \| good	2.429 \| good	5.135 \| good	0.155 \| good

Wappinger

Empower business decisions with accurate air quality data

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

0.10ppm

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 Wappinger, New York updated?

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

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

The worst air quality in Wappinger, New York was recorded at 08:00:00 on 2025-10-20.

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

The best air quality in Wappinger, New York was recorded at 07:00:00 on 2025-10-21.

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

The real-time air quality index in Wappinger, New York is 19, currently categorized as Good.

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

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

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

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

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

The measured PM_2.5 levels in Wappinger, New York at present are 2.779 μg/m³.

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

The current PM₁₀ levels in Wappinger, New York are 6.44 μg/m³.

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

The current carbon monoxide (CO) level in Wappinger, New York is 0.1 ppm.

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

The current sulfur dioxide (SO₂) levels in Wappinger, New York are 0.243 ppb.

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

The current ozone (O₃) levels at Wappinger, New York is 21.157 ppm.

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

The current nitrogen dioxide (NO₂) levels at Wappinger, New York is 5.554 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T09:00:00.000Z	49 \| good	9.361 \| good	28.632 \| good	6.213 \| good	0.145 \| good	19.553 \| good	0.332 \| good
2025-10-19T10:00:00.000Z	54 \| moderate	10.833 \| good	40.636 \| good	5.116 \| good	0.156 \| good	17.742 \| good	0.316 \| good
2025-10-19T11:00:00.000Z	49 \| good	9.357 \| good	28.039 \| good	4.643 \| good	0.244 \| good	20.422 \| good	0.363 \| good
2025-10-19T12:00:00.000Z	44 \| good	7.766 \| good	35.524 \| good	6.815 \| good	0.404 \| good	22.122 \| good	0.482 \| good
2025-10-19T13:00:00.000Z	44 \| good	7.815 \| good	32.238 \| good	6.782 \| good	0.439 \| good	19.721 \| good	0.543 \| good
2025-10-19T14:00:00.000Z	49 \| good	8.598 \| good	32.236 \| good	7.491 \| good	0.379 \| good	12.015 \| good	0.273 \| good
2025-10-19T15:00:00.000Z	49 \| good	8.692 \| good	24.792 \| good	16.874 \| good	0.298 \| good	11.651 \| good	0.273 \| good
2025-10-19T16:00:00.000Z	38 \| good	6.648 \| good	27.274 \| good	27.154 \| good	0.297 \| good	10.75 \| good	0.256 \| good
2025-10-19T17:00:00.000Z	44 \| good	7.883 \| good	30.087 \| good	32.521 \| good	0.164 \| good	4.765 \| good	0.246 \| good
2025-10-19T18:00:00.000Z	32 \| good	5.16 \| good	22.451 \| good	35.357 \| good	0.293 \| good	4.626 \| good	0.241 \| good
2025-10-19T19:00:00.000Z	36 \| good	4.659 \| good	12.497 \| good	39.377 \| good	0.344 \| good	4.365 \| good	0.203 \| good
2025-10-19T20:00:00.000Z	39 \| good	4.834 \| good	15.439 \| good	41.855 \| good	0.206 \| good	2.218 \| good	0.216 \| good
2025-10-19T21:00:00.000Z	38 \| good	5.115 \| good	18.821 \| good	41.331 \| good	0.225 \| good	2.745 \| good	0.216 \| good
2025-10-19T22:00:00.000Z	44 \| good	8.351 \| good	38.609 \| good	44.243 \| good	0.332 \| good	3.782 \| good	0.217 \| good
2025-10-19T23:00:00.000Z	44 \| good	7.791 \| good	40.397 \| good	44.584 \| good	0.266 \| good	4.174 \| good	0.233 \| good
2025-10-20T00:00:00.000Z	41 \| good	6.409 \| good	30.938 \| good	44.184 \| good	0.266 \| good	5.713 \| good	0.233 \| good
2025-10-20T01:00:00.000Z	40 \| good	5.245 \| good	8.137 \| good	43.108 \| good	0.263 \| good	4.783 \| good	0.219 \| good
2025-10-20T02:00:00.000Z	38 \| good	5.724 \| good	13.827 \| good	40.919 \| good	0.205 \| good	5.804 \| good	0.203 \| good
2025-10-20T03:00:00.000Z	38 \| good	6.761 \| good	28.924 \| good	39.848 \| good	0.219 \| good	5.301 \| good	0.183 \| good
2025-10-20T04:00:00.000Z	36 \| good	5.397 \| good	19.58 \| good	38.664 \| good	0.218 \| good	4.494 \| good	0.183 \| good
2025-10-20T05:00:00.000Z	40 \| good	5.829 \| good	24.843 \| good	43.075 \| good	0.244 \| good	4.423 \| good	0.183 \| good
2025-10-20T06:00:00.000Z	38 \| good	4.329 \| good	26.865 \| good	41.142 \| good	0.247 \| good	3.426 \| good	0.168 \| good
2025-10-20T07:00:00.000Z	34 \| good	3.688 \| good	17.016 \| good	37.309 \| good	0.221 \| good	3.301 \| good	0.169 \| good
2025-10-20T08:00:00.000Z	37 \| good	4.829 \| good	27.145 \| good	39.883 \| good	0.3 \| good	3.283 \| good	0.149 \| good
2025-10-20T09:00:00.000Z	35 \| good	3.307 \| good	10.056 \| good	37.924 \| good	0.301 \| good	3.736 \| good	0.149 \| good
2025-10-20T10:00:00.000Z	36 \| good	3.855 \| good	8.324 \| good	38.821 \| good	0.239 \| good	3.437 \| good	0.151 \| good
2025-10-20T11:00:00.000Z	33 \| good	3.906 \| good	7.8 \| good	36.102 \| good	0.324 \| good	3.794 \| good	0.191 \| good
2025-10-20T12:00:00.000Z	34 \| good	1.848 \| good	6.495 \| good	37.273 \| good	0.339 \| good	5.134 \| good	0.203 \| good
2025-10-20T13:00:00.000Z	35 \| good	4.531 \| good	9.42 \| good	37.547 \| good	0.369 \| good	7.802 \| good	0.203 \| good
2025-10-20T14:00:00.000Z	30 \| good	2.718 \| good	6.326 \| good	32.126 \| good	0.272 \| good	4.012 \| good	0.221 \| good
2025-10-20T15:00:00.000Z	27 \| good	3.12 \| good	14.9 \| good	29.321 \| good	0.204 \| good	2.841 \| good	0.203 \| good
2025-10-20T16:00:00.000Z	28 \| good	3.03 \| good	9.99 \| good	29.708 \| good	0.687 \| good	2.974 \| good	0.17 \| good
2025-10-20T17:00:00.000Z	25 \| good	1.081 \| good	7.338 \| good	26.532 \| good	0.482 \| good	4.264 \| good	0.17 \| good
2025-10-20T18:00:00.000Z	26 \| good	0.993 \| good	4.608 \| good	28.138 \| good	0.933 \| good	5.66 \| good	0.17 \| good
2025-10-20T19:00:00.000Z	22 \| good	1.804 \| good	5.854 \| good	23.935 \| good	0.234 \| good	4.181 \| good	0.151 \| good
2025-10-20T20:00:00.000Z	24 \| good	1.709 \| good	8.389 \| good	25.697 \| good	0.331 \| good	3.106 \| good	0.135 \| good
2025-10-20T21:00:00.000Z	22 \| good	2.047 \| good	6.628 \| good	23.515 \| good	0.267 \| good	6.71 \| good	0.178 \| good
2025-10-20T22:00:00.000Z	24 \| good	2.813 \| good	13.096 \| good	26.44 \| good	0.547 \| good	5.259 \| good	0.135 \| good
2025-10-20T23:00:00.000Z	23 \| good	1.654 \| good	8.603 \| good	24.541 \| good	0.264 \| good	5.725 \| good	0.116 \| good
2025-10-21T00:00:00.000Z	23 \| good	1.609 \| good	4.588 \| good	24.973 \| good	0.263 \| good	5.993 \| good	0.151 \| good
2025-10-21T01:00:00.000Z	22 \| good	2.643 \| good	9.159 \| good	24.097 \| good	0.283 \| good	5.899 \| good	0.151 \| good
2025-10-21T02:00:00.000Z	22 \| good	2.906 \| good	8.536 \| good	24.021 \| good	0.283 \| good	6.521 \| good	0.151 \| good
2025-10-21T03:00:00.000Z	24 \| good	3.269 \| good	13.915 \| good	25.916 \| good	0.493 \| good	2.414 \| good	0.124 \| good
2025-10-21T04:00:00.000Z	19 \| good	2.586 \| good	11.215 \| good	21.481 \| good	0.262 \| good	4.56 \| good	0.132 \| good
2025-10-21T05:00:00.000Z	27 \| good	4.595 \| good	16.705 \| good	20.871 \| good	0.262 \| good	4.172 \| good	0.132 \| good
2025-10-21T06:00:00.000Z	19 \| good	2.883 \| good	11.395 \| good	20.334 \| good	0.263 \| good	3.923 \| good	0.116 \| good
2025-10-21T07:00:00.000Z	19 \| good	2.779 \| good	6.44 \| good	21.157 \| good	0.243 \| good	5.554 \| good	0.1 \| good
2025-10-21T08:00:00.000Z	21 \| good	2.964 \| good	8.301 \| good	22.724 \| good	0.23 \| good	4.878 \| good	0.117 \| good
2025-10-21T08:00:00.000Z	19 \| good	2.779 \| good	6.44 \| good	21.157 \| good	0.243 \| good	5.554 \| good	0.1 \| good
2025-10-21T09:00:00.000Z	19 \| good	1.583 \| good	6.083 \| good	21.045 \| good	0.429 \| good	2.165 \| good	0.125 \| good
2025-10-21T10:00:00.000Z	19 \| good	0.906 \| good	3.837 \| good	21.051 \| good	0.433 \| good	2.744 \| good	0.131 \| good
2025-10-21T11:00:00.000Z	17 \| good	0.977 \| good	3.923 \| good	18.12 \| good	0.437 \| good	3.323 \| good	0.137 \| good
2025-10-21T12:00:00.000Z	17 \| good	2.485 \| good	10 \| good	18.431 \| good	0.441 \| good	3.902 \| good	0.143 \| good
2025-10-21T13:00:00.000Z	21 \| good	1.223 \| good	4.978 \| good	22.657 \| good	0.483 \| good	3.252 \| good	0.139 \| good
2025-10-21T14:00:00.000Z	25 \| good	2.223 \| good	8.968 \| good	26.611 \| good	0.526 \| good	2.602 \| good	0.134 \| good
2025-10-21T15:00:00.000Z	29 \| good	3.308 \| good	14.908 \| good	31.32 \| good	0.568 \| good	1.952 \| good	0.13 \| good
2025-10-21T16:00:00.000Z	31 \| good	2.463 \| good	10.006 \| good	34.408 \| good	1.42 \| good	2.153 \| good	0.131 \| good
2025-10-21T17:00:00.000Z	33 \| good	3.556 \| good	15.913 \| good	36.205 \| good	2.271 \| good	2.355 \| good	0.133 \| good
2025-10-21T18:00:00.000Z	34 \| good	6.323 \| good	28.059 \| good	37.404 \| good	3.122 \| good	2.556 \| good	0.135 \| good
2025-10-21T19:00:00.000Z	37 \| good	4.309 \| good	18.95 \| good	40.126 \| good	3.331 \| good	3.937 \| good	0.143 \| good
2025-10-21T20:00:00.000Z	37 \| good	4.601 \| good	19.945 \| good	39.601 \| good	3.539 \| good	5.319 \| good	0.15 \| good
2025-10-21T21:00:00.000Z	33 \| good	5.562 \| good	23.855 \| good	33.214 \| good	3.748 \| good	6.701 \| good	0.158 \| good
2025-10-21T22:00:00.000Z	38 \| good	7.298 \| good	31.883 \| good	29.578 \| good	3.518 \| good	8.541 \| good	0.17 \| good
2025-10-21T23:00:00.000Z	44 \| good	7.986 \| good	34.97 \| good	27.899 \| good	3.288 \| good	10.381 \| good	0.183 \| good
2025-10-22T00:00:00.000Z	38 \| good	7.094 \| good	31.779 \| good	26.367 \| good	3.058 \| good	12.221 \| good	0.195 \| good
2025-10-22T01:00:00.000Z	38 \| good	7.374 \| good	32.567 \| good	22.031 \| good	2.822 \| good	11.635 \| good	0.194 \| good
2025-10-22T02:00:00.000Z	49 \| good	8.509 \| good	36.851 \| good	22.652 \| good	2.585 \| good	11.049 \| good	0.192 \| good
2025-10-22T03:00:00.000Z	49 \| good	9.051 \| good	40.703 \| good	23.547 \| good	2.349 \| good	10.462 \| good	0.191 \| good
2025-10-22T04:00:00.000Z	27 \| good	5.27 \| good	22.957 \| good	26.698 \| good	2.185 \| good	9.432 \| good	0.184 \| good
2025-10-22T05:00:00.000Z	33 \| good	5.672 \| good	24.172 \| good	29.198 \| good	2.021 \| good	8.403 \| good	0.178 \| good
2025-10-22T06:00:00.000Z	27 \| good	3.251 \| good	13.922 \| good	28.972 \| good	1.857 \| good	7.373 \| good	0.171 \| good
2025-10-22T07:00:00.000Z	33 \| good	5.514 \| good	23.957 \| good	26.646 \| good	1.782 \| good	6.955 \| good	0.169 \| good
2025-10-22T08:00:00.000Z	29 \| good	3.637 \| good	15.893 \| good	30.734 \| good	1.707 \| good	6.537 \| good	0.166 \| good
2025-10-22T09:00:00.000Z	29 \| good	5.141 \| good	22.056 \| good	31.002 \| good	1.633 \| good	6.119 \| good	0.163 \| good
2025-10-22T10:00:00.000Z	29 \| good	3.966 \| good	17.042 \| good	31.087 \| good	1.735 \| good	7.258 \| good	0.172 \| good
2025-10-22T11:00:00.000Z	27 \| good	5.057 \| good	21.941 \| good	26.034 \| good	1.837 \| good	8.397 \| good	0.18 \| good
2025-10-22T12:00:00.000Z	33 \| good	6.41 \| good	28.875 \| good	25.926 \| good	1.939 \| good	9.536 \| good	0.189 \| good
2025-10-22T13:00:00.000Z	28 \| good	4.487 \| good	19.847 \| good	29.995 \| good	2.243 \| good	7.533 \| good	0.18 \| good
2025-10-22T14:00:00.000Z	32 \| good	3.248 \| good	13.891 \| good	34.985 \| good	2.547 \| good	5.53 \| good	0.172 \| good
2025-10-22T15:00:00.000Z	34 \| good	1.976 \| good	7.992 \| good	36.558 \| good	2.851 \| good	3.527 \| good	0.164 \| good
2025-10-22T16:00:00.000Z	34 \| good	1.065 \| good	4.098 \| good	36.682 \| good	2.474 \| good	2.702 \| good	0.151 \| good
2025-10-22T17:00:00.000Z	34 \| good	0.815 \| good	3.026 \| good	37.487 \| good	2.097 \| good	1.876 \| good	0.139 \| good
2025-10-22T18:00:00.000Z	34 \| good	0.894 \| good	3.866 \| good	37.447 \| good	1.72 \| good	1.05 \| good	0.127 \| good
2025-10-22T19:00:00.000Z	33 \| good	1.414 \| good	5.934 \| good	35.822 \| good	1.53 \| good	1.167 \| good	0.126 \| good
2025-10-22T20:00:00.000Z	31 \| good	1.08 \| good	4.011 \| good	33.09 \| good	1.341 \| good	1.283 \| good	0.125 \| good
2025-10-22T21:00:00.000Z	31 \| good	1.238 \| good	4.933 \| good	33.222 \| good	1.152 \| good	1.399 \| good	0.124 \| good
2025-10-22T22:00:00.000Z	29 \| good	1.557 \| good	6.011 \| good	30.922 \| good	1.221 \| good	2.326 \| good	0.132 \| good
2025-10-22T23:00:00.000Z	27 \| good	4.368 \| good	19 \| good	29.461 \| good	1.29 \| good	3.254 \| good	0.14 \| good
2025-10-23T00:00:00.000Z	22 \| good	3.876 \| good	16.913 \| good	20.699 \| good	1.358 \| good	4.181 \| good	0.148 \| good
2025-10-23T01:00:00.000Z	19 \| good	1.874 \| good	7.864 \| good	21.439 \| good	1.44 \| good	4.74 \| good	0.153 \| good
2025-10-23T02:00:00.000Z	19 \| good	2.69 \| good	10.998 \| good	20.172 \| good	1.521 \| good	5.298 \| good	0.159 \| good
2025-10-23T03:00:00.000Z	19 \| good	3.221 \| good	13.868 \| good	19.955 \| good	1.603 \| good	5.857 \| good	0.164 \| good
2025-10-23T04:00:00.000Z	18 \| good	1.716 \| good	6.928 \| good	19.21 \| good	1.761 \| good	5.855 \| good	0.163 \| good
2025-10-23T05:00:00.000Z	22 \| good	4.002 \| good	17.912 \| good	19.503 \| good	1.919 \| good	5.854 \| good	0.161 \| good
2025-10-23T06:00:00.000Z	27 \| good	5.156 \| good	5.159 \| good	21.977 \| good	2.075 \| good	5.785 \| good	0.16 \| good
2025-10-23T07:00:00.000Z	19 \| good	2.709 \| good	11.017 \| good	19.928 \| good	2.253 \| good	5.494 \| good	0.157 \| good
2025-10-23T08:00:00.000Z	18 \| good	2.579 \| good	10.093 \| good	18.526 \| good	2.429 \| good	5.135 \| good	0.155 \| good

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

Common air pollutants in Wappinger, New York

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Wappinger, New York air quality forecast and history

Empower business decisions with accurate air quality data

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

Air quality in nearby cities

Milton, New York

Fishkill Town, New York

East Fishkill, New York

Beacon, New York

Poughkeepsie, New York

Plattekill, 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 Wappinger, New York updated?

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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