What is the current concentration of PM10 in Southeast, New York?

The current PM10 concentration at Southeast, New York is 10.496 μg/m3.

What is the current concentration of sulfur dioxide (SO2) in Southeast, New York?

The current sulfur dioxide (SO2) concentration at Southeast, New York is 0.308 ppb.

What is the current concentration of ozone (O3) in Southeast, New York?

The current ozone (O3) concentration at Southeast, New York is 21.182 ppm.

What is the current concentration of nitrogen dioxide (NO2) in Southeast, New York?

The current nitrogen dioxide (NO2) concentration at Southeast, New York is 7.152 ppb.

Southeast, New York live air quality index now

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

Stay updated with real-time air quality in Southeast, 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

Southeast, New York

Last updated: ... (Local time)

Major air pollutants in Southeast, New York

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

2.88 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

9.39 μg/m³

155

255

425

605+

Ozone (O₃)

21.07 ppb

201

201+

Sulfur Dioxide (SO₂)

0.29 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

5.86 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.10 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Southeast, New York

Get Live Pollen Counts

Southeast, New York

Scroll To Air Quality Map

Track live Southeast, New York air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T09:00:00.000Z	52 \| moderate	9.589 \| good	26.468 \| good	7.751 \| good	0.142 \| good	15.833 \| good	0.331 \| good
2025-10-19T10:00:00.000Z	54 \| moderate	10.918 \| good	34.248 \| good	7.348 \| good	0.158 \| good	20.874 \| good	0.313 \| good
2025-10-19T11:00:00.000Z	52 \| moderate	9.506 \| good	30.004 \| good	7.228 \| good	0.243 \| good	23.715 \| good	0.358 \| good
2025-10-19T12:00:00.000Z	49 \| good	8.734 \| good	29.271 \| good	6.306 \| good	0.441 \| good	21.718 \| good	0.458 \| good
2025-10-19T13:00:00.000Z	54 \| moderate	10.811 \| good	27.278 \| good	7.007 \| good	0.459 \| good	18.564 \| good	0.532 \| good
2025-10-19T14:00:00.000Z	52 \| moderate	9.517 \| good	36.678 \| good	7.769 \| good	0.315 \| good	9.924 \| good	0.271 \| good
2025-10-19T15:00:00.000Z	49 \| good	9.112 \| good	28.117 \| good	9.844 \| good	0.223 \| good	8.39 \| good	0.268 \| good
2025-10-19T16:00:00.000Z	38 \| good	7.283 \| good	14.636 \| good	22.817 \| good	0.221 \| good	7.658 \| good	0.251 \| good
2025-10-19T17:00:00.000Z	38 \| good	6.865 \| good	18.179 \| good	28.202 \| good	0.142 \| good	3.456 \| good	0.242 \| good
2025-10-19T18:00:00.000Z	31 \| good	5.172 \| good	17.727 \| good	32.909 \| good	0.239 \| good	2.299 \| good	0.236 \| good
2025-10-19T19:00:00.000Z	32 \| good	5.354 \| good	21.21 \| good	35.398 \| good	0.284 \| good	3.396 \| good	0.198 \| good
2025-10-19T20:00:00.000Z	35 \| good	4.766 \| good	23.763 \| good	37.795 \| good	0.138 \| good	2.203 \| good	0.213 \| good
2025-10-19T21:00:00.000Z	35 \| good	5.192 \| good	16.524 \| good	37.986 \| good	0.156 \| good	2.637 \| good	0.213 \| good
2025-10-19T22:00:00.000Z	36 \| good	5.869 \| good	20.577 \| good	38.736 \| good	0.253 \| good	3.775 \| good	0.213 \| good
2025-10-19T23:00:00.000Z	36 \| good	6.15 \| good	26.03 \| good	38.707 \| good	0.184 \| good	4.28 \| good	0.228 \| good
2025-10-20T00:00:00.000Z	34 \| good	5.974 \| good	23.728 \| good	36.792 \| good	0.235 \| good	5.29 \| good	0.228 \| good
2025-10-20T01:00:00.000Z	35 \| good	5.556 \| good	25.065 \| good	37.793 \| good	0.179 \| good	4.104 \| good	0.214 \| good
2025-10-20T02:00:00.000Z	34 \| good	5.834 \| good	23.84 \| good	37.471 \| good	0.192 \| good	4.172 \| good	0.198 \| good
2025-10-20T03:00:00.000Z	34 \| good	6.341 \| good	28.778 \| good	36.697 \| good	0.194 \| good	4.225 \| good	0.179 \| good
2025-10-20T04:00:00.000Z	34 \| good	5.745 \| good	21.072 \| good	36.797 \| good	0.193 \| good	3.542 \| good	0.179 \| good
2025-10-20T05:00:00.000Z	33 \| good	5.525 \| good	14.127 \| good	35.022 \| good	0.242 \| good	3.671 \| good	0.179 \| good
2025-10-20T06:00:00.000Z	32 \| good	4.712 \| good	18.024 \| good	34.687 \| good	0.244 \| good	3.057 \| good	0.154 \| good
2025-10-20T07:00:00.000Z	32 \| good	5.145 \| good	13.93 \| good	34.697 \| good	0.217 \| good	2.449 \| good	0.165 \| good
2025-10-20T08:00:00.000Z	31 \| good	4.478 \| good	14.73 \| good	32.705 \| good	0.296 \| good	2.301 \| good	0.137 \| good
2025-10-20T09:00:00.000Z	30 \| good	4.972 \| good	20.333 \| good	32.116 \| good	0.307 \| good	1.921 \| good	0.137 \| good
2025-10-20T10:00:00.000Z	29 \| good	4.434 \| good	10.009 \| good	31.254 \| good	0.232 \| good	2.644 \| good	0.146 \| good
2025-10-20T11:00:00.000Z	27 \| good	4.578 \| good	13.875 \| good	29.328 \| good	0.327 \| good	4.186 \| good	0.187 \| good
2025-10-20T12:00:00.000Z	27 \| good	3.076 \| good	7.57 \| good	29.281 \| good	0.349 \| good	4.415 \| good	0.194 \| good
2025-10-20T13:00:00.000Z	27 \| good	4.707 \| good	12.899 \| good	26.417 \| good	0.373 \| good	4.894 \| good	0.198 \| good
2025-10-20T14:00:00.000Z	24 \| good	2.861 \| good	6.795 \| good	25.713 \| good	0.255 \| good	8.57 \| good	0.211 \| good
2025-10-20T15:00:00.000Z	25 \| good	3.131 \| good	9.831 \| good	27.48 \| good	0.206 \| good	6.714 \| good	0.194 \| good
2025-10-20T16:00:00.000Z	25 \| good	2.176 \| good	9.366 \| good	26.822 \| good	0.819 \| good	5.813 \| good	0.172 \| good
2025-10-20T17:00:00.000Z	23 \| good	2.629 \| good	8.3 \| good	24.956 \| good	0.581 \| good	7.622 \| good	0.172 \| good
2025-10-20T18:00:00.000Z	21 \| good	1.196 \| good	4.235 \| good	23.286 \| good	1.19 \| good	7.428 \| good	0.169 \| good
2025-10-20T19:00:00.000Z	21 \| good	1.687 \| good	5.983 \| good	22.93 \| good	0.204 \| good	4.71 \| good	0.157 \| good
2025-10-20T20:00:00.000Z	21 \| good	1.604 \| good	5.092 \| good	22.742 \| good	0.361 \| good	3.532 \| good	0.145 \| good
2025-10-20T21:00:00.000Z	22 \| good	1.46 \| good	8.374 \| good	23.728 \| good	0.274 \| good	5.256 \| good	0.178 \| good
2025-10-20T22:00:00.000Z	22 \| good	1.045 \| good	5.973 \| good	24.064 \| good	0.533 \| good	5.334 \| good	0.142 \| good
2025-10-20T23:00:00.000Z	22 \| good	1.448 \| good	6.943 \| good	24.425 \| good	0.308 \| good	5.52 \| good	0.122 \| good
2025-10-21T00:00:00.000Z	22 \| good	2.393 \| good	11.891 \| good	24.435 \| good	0.29 \| good	6.58 \| good	0.154 \| good
2025-10-21T01:00:00.000Z	21 \| good	2.072 \| good	6.604 \| good	23.492 \| good	0.33 \| good	7.224 \| good	0.154 \| good
2025-10-21T02:00:00.000Z	22 \| good	2.265 \| good	7.694 \| good	23.661 \| good	0.326 \| good	7.925 \| good	0.154 \| good
2025-10-21T03:00:00.000Z	33 \| good	5.567 \| good	23.786 \| good	28.106 \| good	0.65 \| good	4.334 \| good	0.13 \| good
2025-10-21T04:00:00.000Z	19 \| good	2.529 \| good	10.496 \| good	21.182 \| good	0.308 \| good	7.152 \| good	0.134 \| good
2025-10-21T05:00:00.000Z	22 \| good	4.325 \| good	14.56 \| good	21.45 \| good	0.308 \| good	7.104 \| good	0.134 \| good
2025-10-21T06:00:00.000Z	19 \| good	3.333 \| good	15.07 \| good	21.258 \| good	0.31 \| good	7.337 \| good	0.119 \| good
2025-10-21T07:00:00.000Z	19 \| good	2.885 \| good	9.391 \| good	21.074 \| good	0.29 \| good	5.862 \| good	0.1 \| good
2025-10-21T08:00:00.000Z	19 \| good	2.885 \| good	9.391 \| good	21.074 \| good	0.29 \| good	5.862 \| good	0.1 \| good
2025-10-21T06:00:00.000Z	22 \| good	4.173 \| good	18.779 \| good	21.532 \| good	0.574 \| good	3.576 \| good	0.133 \| good
2025-10-21T07:00:00.000Z	22 \| good	3.514 \| good	15.76 \| good	20.973 \| good	0.597 \| good	3.6 \| good	0.131 \| good
2025-10-21T08:00:00.000Z	20 \| good	3.167 \| good	13.865 \| good	22.329 \| good	0.62 \| good	3.625 \| good	0.129 \| good
2025-10-21T09:00:00.000Z	19 \| good	2.743 \| good	10.987 \| good	19.866 \| good	0.642 \| good	3.649 \| good	0.127 \| good
2025-10-21T10:00:00.000Z	19 \| good	1.651 \| good	6.9 \| good	20.027 \| good	0.756 \| good	4.696 \| good	0.135 \| good
2025-10-21T11:00:00.000Z	22 \| good	3.909 \| good	16.816 \| good	15.787 \| good	0.869 \| good	5.743 \| good	0.143 \| good
2025-10-21T12:00:00.000Z	22 \| good	3.742 \| good	15.966 \| good	15.298 \| good	0.983 \| good	6.79 \| good	0.151 \| good
2025-10-21T13:00:00.000Z	33 \| good	5.988 \| good	26.742 \| good	19.5 \| good	1.371 \| good	6.274 \| good	0.149 \| good
2025-10-21T14:00:00.000Z	27 \| good	4.663 \| good	20.034 \| good	26.552 \| good	1.758 \| good	5.757 \| good	0.147 \| good
2025-10-21T15:00:00.000Z	28 \| good	4.588 \| good	20.011 \| good	29.507 \| good	2.146 \| good	5.241 \| good	0.145 \| good
2025-10-21T16:00:00.000Z	31 \| good	4.747 \| good	20.888 \| good	34.301 \| good	2.725 \| good	5.356 \| good	0.144 \| good
2025-10-21T17:00:00.000Z	34 \| good	5.405 \| good	23.085 \| good	36.866 \| good	3.304 \| good	5.471 \| good	0.143 \| good
2025-10-21T18:00:00.000Z	35 \| good	6.439 \| good	28.941 \| good	38.018 \| good	3.884 \| good	5.585 \| good	0.143 \| good
2025-10-21T19:00:00.000Z	38 \| good	6.579 \| good	29.04 \| good	38.546 \| good	3.472 \| good	5.865 \| good	0.144 \| good
2025-10-21T20:00:00.000Z	39 \| good	6.55 \| good	29.048 \| good	41.931 \| good	3.061 \| good	6.144 \| good	0.145 \| good
2025-10-21T21:00:00.000Z	40 \| good	5.929 \| good	26.795 \| good	42.663 \| good	2.649 \| good	6.423 \| good	0.147 \| good
2025-10-21T22:00:00.000Z	34 \| good	5.564 \| good	23.988 \| good	36.771 \| good	2.46 \| good	7.267 \| good	0.154 \| good
2025-10-21T23:00:00.000Z	33 \| good	6.435 \| good	28.865 \| good	33.173 \| good	2.271 \| good	8.111 \| good	0.162 \| good
2025-10-22T00:00:00.000Z	38 \| good	6.974 \| good	30.948 \| good	36.415 \| good	2.082 \| good	8.955 \| good	0.17 \| good
2025-10-22T01:00:00.000Z	44 \| good	7.703 \| good	33.928 \| good	35.878 \| good	1.993 \| good	8.758 \| good	0.166 \| good
2025-10-22T02:00:00.000Z	54 \| moderate	11.23 \| good	49.867 \| good	28.461 \| good	1.905 \| good	8.56 \| good	0.163 \| good
2025-10-22T03:00:00.000Z	58 \| moderate	13.098 \| fine	58.749 \| fine	19.195 \| good	1.816 \| good	8.363 \| good	0.159 \| good
2025-10-22T04:00:00.000Z	58 \| moderate	12.686 \| fine	56.815 \| fine	20.28 \| good	1.776 \| good	7.766 \| good	0.158 \| good
2025-10-22T05:00:00.000Z	54 \| moderate	11.21 \| good	49.814 \| good	24.873 \| good	1.736 \| good	7.169 \| good	0.157 \| good
2025-10-22T06:00:00.000Z	44 \| good	8.089 \| good	35.825 \| good	39.325 \| good	1.697 \| good	6.572 \| good	0.156 \| good
2025-10-22T07:00:00.000Z	38 \| good	6.893 \| good	30.87 \| good	36.391 \| good	1.732 \| good	7.276 \| good	0.159 \| good
2025-10-22T08:00:00.000Z	38 \| good	6.52 \| good	28.948 \| good	33.8 \| good	1.767 \| good	7.981 \| good	0.162 \| good
2025-10-22T09:00:00.000Z	33 \| good	5.965 \| good	26.865 \| good	30.666 \| good	1.803 \| good	8.685 \| good	0.165 \| good
2025-10-22T10:00:00.000Z	28 \| good	4.473 \| good	19.076 \| good	30.072 \| good	1.994 \| good	10.624 \| good	0.184 \| good
2025-10-22T11:00:00.000Z	38 \| good	6.684 \| good	29.772 \| good	27.91 \| good	2.185 \| good	12.563 \| good	0.202 \| good
2025-10-22T12:00:00.000Z	38 \| good	7.327 \| good	32.023 \| good	22.245 \| good	2.376 \| good	14.503 \| good	0.22 \| good
2025-10-22T13:00:00.000Z	52 \| moderate	9.753 \| good	42.95 \| good	24.408 \| good	2.894 \| good	11.809 \| good	0.208 \| good
2025-10-22T14:00:00.000Z	33 \| good	6.174 \| good	27.017 \| good	32.023 \| good	3.411 \| good	9.116 \| good	0.197 \| good
2025-10-22T15:00:00.000Z	33 \| good	3.965 \| good	17.056 \| good	35.555 \| good	3.928 \| good	6.422 \| good	0.186 \| good
2025-10-22T16:00:00.000Z	34 \| good	3.621 \| good	15.938 \| good	37.212 \| good	3.302 \| good	4.906 \| good	0.169 \| good
2025-10-22T17:00:00.000Z	35 \| good	2.826 \| good	11.929 \| good	38.462 \| good	2.677 \| good	3.39 \| good	0.151 \| good
2025-10-22T18:00:00.000Z	35 \| good	2.407 \| good	9.955 \| good	38.436 \| good	2.052 \| good	1.874 \| good	0.134 \| good
2025-10-22T19:00:00.000Z	34 \| good	2.264 \| good	9.075 \| good	36.683 \| good	1.845 \| good	1.994 \| good	0.134 \| good
2025-10-22T20:00:00.000Z	32 \| good	2.44 \| good	10.027 \| good	34.564 \| good	1.638 \| good	2.114 \| good	0.134 \| good
2025-10-22T21:00:00.000Z	29 \| good	2.809 \| good	11.949 \| good	30.73 \| good	1.431 \| good	2.234 \| good	0.134 \| good
2025-10-22T22:00:00.000Z	27 \| good	3.584 \| good	15.91 \| good	29.039 \| good	1.542 \| good	3.863 \| good	0.145 \| good
2025-10-22T23:00:00.000Z	25 \| good	4.363 \| good	18.994 \| good	26.957 \| good	1.653 \| good	5.493 \| good	0.156 \| good
2025-10-23T00:00:00.000Z	27 \| good	4.624 \| good	4.629 \| good	25.858 \| good	1.759 \| good	7.101 \| good	0.166 \| good
2025-10-23T01:00:00.000Z	27 \| good	5.101 \| good	21.962 \| good	19.711 \| good	1.906 \| good	8.203 \| good	0.17 \| good
2025-10-23T02:00:00.000Z	38 \| good	7.075 \| good	31.699 \| good	21.078 \| good	2.047 \| good	9.282 \| good	0.174 \| good
2025-10-23T03:00:00.000Z	38 \| good	6.706 \| good	29.748 \| good	20.19 \| good	2.189 \| good	10.362 \| good	0.178 \| good
2025-10-23T04:00:00.000Z	27 \| good	5.288 \| good	22.942 \| good	18.112 \| good	2.284 \| good	9.576 \| good	0.173 \| good
2025-10-23T05:00:00.000Z	33 \| good	6.465 \| good	28.766 \| good	18.202 \| good	2.379 \| good	8.79 \| good	0.167 \| good

Southeast

Get reliable air quality data to drive your business

Southeast, New York air quality map: Track AQI near you

0.14ppm

How accurate is New York, USA air quality data?

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

Source: Ambee Data Sources

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Frequently asked questions

How often is the air quality data for Southeast, New York updated?

The air quality for Southeast, New York is updated every hour.

When was the worst air quality at Southeast, New York in the last 24 hrs?

The worst air quality in Southeast, New York in the last 24 hours was observed at 03:00:00 on 2025-10-21.

When was the best air quality at Southeast, New York in the last 24 hrs?

In the last 24 hrs, the best air quality in Southeast, New York was observed at 04:00:00 on 2025-10-21.

What is the current air quality in Southeast, New York?

The current air quality in Southeast, New York is 19, categorized as Good based on real-time data.

What pollutant is the most common in Southeast, New York?

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

What should I do if the air quality in Southeast, New York is poor?

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

What is the current concentration of PM_2.5 in Southeast, New York?

The current PM_2.5 concentration at Southeast, New York is 2.529 μg/m³.

What is the current concentration of PM₁₀ in Southeast, New York?

The current PM₁₀ concentration at Southeast, New York is 10.496 μg/m³.

What is the current concentration of carbon monoxide (CO) in Southeast, New York?

The current carbon monoxide (CO) concentration at Southeast, New York is 0.134 ppm.

What is the current concentration of sulfur dioxide (SO₂) in Southeast, New York?

The current sulfur dioxide (SO₂) concentration at Southeast, New York is 0.308 ppb.

What is the current concentration of ozone (O₃) in Southeast, New York?

The current ozone (O₃) concentration at Southeast, New York is 21.182 ppm.

What is the current concentration of nitrogen dioxide (NO₂) in Southeast, New York?

The current nitrogen dioxide (NO₂) concentration at Southeast, New York is 7.152 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T09:00:00.000Z	52 \| moderate	9.589 \| good	26.468 \| good	7.751 \| good	0.142 \| good	15.833 \| good	0.331 \| good
2025-10-19T10:00:00.000Z	54 \| moderate	10.918 \| good	34.248 \| good	7.348 \| good	0.158 \| good	20.874 \| good	0.313 \| good
2025-10-19T11:00:00.000Z	52 \| moderate	9.506 \| good	30.004 \| good	7.228 \| good	0.243 \| good	23.715 \| good	0.358 \| good
2025-10-19T12:00:00.000Z	49 \| good	8.734 \| good	29.271 \| good	6.306 \| good	0.441 \| good	21.718 \| good	0.458 \| good
2025-10-19T13:00:00.000Z	54 \| moderate	10.811 \| good	27.278 \| good	7.007 \| good	0.459 \| good	18.564 \| good	0.532 \| good
2025-10-19T14:00:00.000Z	52 \| moderate	9.517 \| good	36.678 \| good	7.769 \| good	0.315 \| good	9.924 \| good	0.271 \| good
2025-10-19T15:00:00.000Z	49 \| good	9.112 \| good	28.117 \| good	9.844 \| good	0.223 \| good	8.39 \| good	0.268 \| good
2025-10-19T16:00:00.000Z	38 \| good	7.283 \| good	14.636 \| good	22.817 \| good	0.221 \| good	7.658 \| good	0.251 \| good
2025-10-19T17:00:00.000Z	38 \| good	6.865 \| good	18.179 \| good	28.202 \| good	0.142 \| good	3.456 \| good	0.242 \| good
2025-10-19T18:00:00.000Z	31 \| good	5.172 \| good	17.727 \| good	32.909 \| good	0.239 \| good	2.299 \| good	0.236 \| good
2025-10-19T19:00:00.000Z	32 \| good	5.354 \| good	21.21 \| good	35.398 \| good	0.284 \| good	3.396 \| good	0.198 \| good
2025-10-19T20:00:00.000Z	35 \| good	4.766 \| good	23.763 \| good	37.795 \| good	0.138 \| good	2.203 \| good	0.213 \| good
2025-10-19T21:00:00.000Z	35 \| good	5.192 \| good	16.524 \| good	37.986 \| good	0.156 \| good	2.637 \| good	0.213 \| good
2025-10-19T22:00:00.000Z	36 \| good	5.869 \| good	20.577 \| good	38.736 \| good	0.253 \| good	3.775 \| good	0.213 \| good
2025-10-19T23:00:00.000Z	36 \| good	6.15 \| good	26.03 \| good	38.707 \| good	0.184 \| good	4.28 \| good	0.228 \| good
2025-10-20T00:00:00.000Z	34 \| good	5.974 \| good	23.728 \| good	36.792 \| good	0.235 \| good	5.29 \| good	0.228 \| good
2025-10-20T01:00:00.000Z	35 \| good	5.556 \| good	25.065 \| good	37.793 \| good	0.179 \| good	4.104 \| good	0.214 \| good
2025-10-20T02:00:00.000Z	34 \| good	5.834 \| good	23.84 \| good	37.471 \| good	0.192 \| good	4.172 \| good	0.198 \| good
2025-10-20T03:00:00.000Z	34 \| good	6.341 \| good	28.778 \| good	36.697 \| good	0.194 \| good	4.225 \| good	0.179 \| good
2025-10-20T04:00:00.000Z	34 \| good	5.745 \| good	21.072 \| good	36.797 \| good	0.193 \| good	3.542 \| good	0.179 \| good
2025-10-20T05:00:00.000Z	33 \| good	5.525 \| good	14.127 \| good	35.022 \| good	0.242 \| good	3.671 \| good	0.179 \| good
2025-10-20T06:00:00.000Z	32 \| good	4.712 \| good	18.024 \| good	34.687 \| good	0.244 \| good	3.057 \| good	0.154 \| good
2025-10-20T07:00:00.000Z	32 \| good	5.145 \| good	13.93 \| good	34.697 \| good	0.217 \| good	2.449 \| good	0.165 \| good
2025-10-20T08:00:00.000Z	31 \| good	4.478 \| good	14.73 \| good	32.705 \| good	0.296 \| good	2.301 \| good	0.137 \| good
2025-10-20T09:00:00.000Z	30 \| good	4.972 \| good	20.333 \| good	32.116 \| good	0.307 \| good	1.921 \| good	0.137 \| good
2025-10-20T10:00:00.000Z	29 \| good	4.434 \| good	10.009 \| good	31.254 \| good	0.232 \| good	2.644 \| good	0.146 \| good
2025-10-20T11:00:00.000Z	27 \| good	4.578 \| good	13.875 \| good	29.328 \| good	0.327 \| good	4.186 \| good	0.187 \| good
2025-10-20T12:00:00.000Z	27 \| good	3.076 \| good	7.57 \| good	29.281 \| good	0.349 \| good	4.415 \| good	0.194 \| good
2025-10-20T13:00:00.000Z	27 \| good	4.707 \| good	12.899 \| good	26.417 \| good	0.373 \| good	4.894 \| good	0.198 \| good
2025-10-20T14:00:00.000Z	24 \| good	2.861 \| good	6.795 \| good	25.713 \| good	0.255 \| good	8.57 \| good	0.211 \| good
2025-10-20T15:00:00.000Z	25 \| good	3.131 \| good	9.831 \| good	27.48 \| good	0.206 \| good	6.714 \| good	0.194 \| good
2025-10-20T16:00:00.000Z	25 \| good	2.176 \| good	9.366 \| good	26.822 \| good	0.819 \| good	5.813 \| good	0.172 \| good
2025-10-20T17:00:00.000Z	23 \| good	2.629 \| good	8.3 \| good	24.956 \| good	0.581 \| good	7.622 \| good	0.172 \| good
2025-10-20T18:00:00.000Z	21 \| good	1.196 \| good	4.235 \| good	23.286 \| good	1.19 \| good	7.428 \| good	0.169 \| good
2025-10-20T19:00:00.000Z	21 \| good	1.687 \| good	5.983 \| good	22.93 \| good	0.204 \| good	4.71 \| good	0.157 \| good
2025-10-20T20:00:00.000Z	21 \| good	1.604 \| good	5.092 \| good	22.742 \| good	0.361 \| good	3.532 \| good	0.145 \| good
2025-10-20T21:00:00.000Z	22 \| good	1.46 \| good	8.374 \| good	23.728 \| good	0.274 \| good	5.256 \| good	0.178 \| good
2025-10-20T22:00:00.000Z	22 \| good	1.045 \| good	5.973 \| good	24.064 \| good	0.533 \| good	5.334 \| good	0.142 \| good
2025-10-20T23:00:00.000Z	22 \| good	1.448 \| good	6.943 \| good	24.425 \| good	0.308 \| good	5.52 \| good	0.122 \| good
2025-10-21T00:00:00.000Z	22 \| good	2.393 \| good	11.891 \| good	24.435 \| good	0.29 \| good	6.58 \| good	0.154 \| good
2025-10-21T01:00:00.000Z	21 \| good	2.072 \| good	6.604 \| good	23.492 \| good	0.33 \| good	7.224 \| good	0.154 \| good
2025-10-21T02:00:00.000Z	22 \| good	2.265 \| good	7.694 \| good	23.661 \| good	0.326 \| good	7.925 \| good	0.154 \| good
2025-10-21T03:00:00.000Z	33 \| good	5.567 \| good	23.786 \| good	28.106 \| good	0.65 \| good	4.334 \| good	0.13 \| good
2025-10-21T04:00:00.000Z	19 \| good	2.529 \| good	10.496 \| good	21.182 \| good	0.308 \| good	7.152 \| good	0.134 \| good
2025-10-21T05:00:00.000Z	22 \| good	4.325 \| good	14.56 \| good	21.45 \| good	0.308 \| good	7.104 \| good	0.134 \| good
2025-10-21T06:00:00.000Z	19 \| good	3.333 \| good	15.07 \| good	21.258 \| good	0.31 \| good	7.337 \| good	0.119 \| good
2025-10-21T07:00:00.000Z	19 \| good	2.885 \| good	9.391 \| good	21.074 \| good	0.29 \| good	5.862 \| good	0.1 \| good
2025-10-21T08:00:00.000Z	19 \| good	2.885 \| good	9.391 \| good	21.074 \| good	0.29 \| good	5.862 \| good	0.1 \| good
2025-10-21T06:00:00.000Z	22 \| good	4.173 \| good	18.779 \| good	21.532 \| good	0.574 \| good	3.576 \| good	0.133 \| good
2025-10-21T07:00:00.000Z	22 \| good	3.514 \| good	15.76 \| good	20.973 \| good	0.597 \| good	3.6 \| good	0.131 \| good
2025-10-21T08:00:00.000Z	20 \| good	3.167 \| good	13.865 \| good	22.329 \| good	0.62 \| good	3.625 \| good	0.129 \| good
2025-10-21T09:00:00.000Z	19 \| good	2.743 \| good	10.987 \| good	19.866 \| good	0.642 \| good	3.649 \| good	0.127 \| good
2025-10-21T10:00:00.000Z	19 \| good	1.651 \| good	6.9 \| good	20.027 \| good	0.756 \| good	4.696 \| good	0.135 \| good
2025-10-21T11:00:00.000Z	22 \| good	3.909 \| good	16.816 \| good	15.787 \| good	0.869 \| good	5.743 \| good	0.143 \| good
2025-10-21T12:00:00.000Z	22 \| good	3.742 \| good	15.966 \| good	15.298 \| good	0.983 \| good	6.79 \| good	0.151 \| good
2025-10-21T13:00:00.000Z	33 \| good	5.988 \| good	26.742 \| good	19.5 \| good	1.371 \| good	6.274 \| good	0.149 \| good
2025-10-21T14:00:00.000Z	27 \| good	4.663 \| good	20.034 \| good	26.552 \| good	1.758 \| good	5.757 \| good	0.147 \| good
2025-10-21T15:00:00.000Z	28 \| good	4.588 \| good	20.011 \| good	29.507 \| good	2.146 \| good	5.241 \| good	0.145 \| good
2025-10-21T16:00:00.000Z	31 \| good	4.747 \| good	20.888 \| good	34.301 \| good	2.725 \| good	5.356 \| good	0.144 \| good
2025-10-21T17:00:00.000Z	34 \| good	5.405 \| good	23.085 \| good	36.866 \| good	3.304 \| good	5.471 \| good	0.143 \| good
2025-10-21T18:00:00.000Z	35 \| good	6.439 \| good	28.941 \| good	38.018 \| good	3.884 \| good	5.585 \| good	0.143 \| good
2025-10-21T19:00:00.000Z	38 \| good	6.579 \| good	29.04 \| good	38.546 \| good	3.472 \| good	5.865 \| good	0.144 \| good
2025-10-21T20:00:00.000Z	39 \| good	6.55 \| good	29.048 \| good	41.931 \| good	3.061 \| good	6.144 \| good	0.145 \| good
2025-10-21T21:00:00.000Z	40 \| good	5.929 \| good	26.795 \| good	42.663 \| good	2.649 \| good	6.423 \| good	0.147 \| good
2025-10-21T22:00:00.000Z	34 \| good	5.564 \| good	23.988 \| good	36.771 \| good	2.46 \| good	7.267 \| good	0.154 \| good
2025-10-21T23:00:00.000Z	33 \| good	6.435 \| good	28.865 \| good	33.173 \| good	2.271 \| good	8.111 \| good	0.162 \| good
2025-10-22T00:00:00.000Z	38 \| good	6.974 \| good	30.948 \| good	36.415 \| good	2.082 \| good	8.955 \| good	0.17 \| good
2025-10-22T01:00:00.000Z	44 \| good	7.703 \| good	33.928 \| good	35.878 \| good	1.993 \| good	8.758 \| good	0.166 \| good
2025-10-22T02:00:00.000Z	54 \| moderate	11.23 \| good	49.867 \| good	28.461 \| good	1.905 \| good	8.56 \| good	0.163 \| good
2025-10-22T03:00:00.000Z	58 \| moderate	13.098 \| fine	58.749 \| fine	19.195 \| good	1.816 \| good	8.363 \| good	0.159 \| good
2025-10-22T04:00:00.000Z	58 \| moderate	12.686 \| fine	56.815 \| fine	20.28 \| good	1.776 \| good	7.766 \| good	0.158 \| good
2025-10-22T05:00:00.000Z	54 \| moderate	11.21 \| good	49.814 \| good	24.873 \| good	1.736 \| good	7.169 \| good	0.157 \| good
2025-10-22T06:00:00.000Z	44 \| good	8.089 \| good	35.825 \| good	39.325 \| good	1.697 \| good	6.572 \| good	0.156 \| good
2025-10-22T07:00:00.000Z	38 \| good	6.893 \| good	30.87 \| good	36.391 \| good	1.732 \| good	7.276 \| good	0.159 \| good
2025-10-22T08:00:00.000Z	38 \| good	6.52 \| good	28.948 \| good	33.8 \| good	1.767 \| good	7.981 \| good	0.162 \| good
2025-10-22T09:00:00.000Z	33 \| good	5.965 \| good	26.865 \| good	30.666 \| good	1.803 \| good	8.685 \| good	0.165 \| good
2025-10-22T10:00:00.000Z	28 \| good	4.473 \| good	19.076 \| good	30.072 \| good	1.994 \| good	10.624 \| good	0.184 \| good
2025-10-22T11:00:00.000Z	38 \| good	6.684 \| good	29.772 \| good	27.91 \| good	2.185 \| good	12.563 \| good	0.202 \| good
2025-10-22T12:00:00.000Z	38 \| good	7.327 \| good	32.023 \| good	22.245 \| good	2.376 \| good	14.503 \| good	0.22 \| good
2025-10-22T13:00:00.000Z	52 \| moderate	9.753 \| good	42.95 \| good	24.408 \| good	2.894 \| good	11.809 \| good	0.208 \| good
2025-10-22T14:00:00.000Z	33 \| good	6.174 \| good	27.017 \| good	32.023 \| good	3.411 \| good	9.116 \| good	0.197 \| good
2025-10-22T15:00:00.000Z	33 \| good	3.965 \| good	17.056 \| good	35.555 \| good	3.928 \| good	6.422 \| good	0.186 \| good
2025-10-22T16:00:00.000Z	34 \| good	3.621 \| good	15.938 \| good	37.212 \| good	3.302 \| good	4.906 \| good	0.169 \| good
2025-10-22T17:00:00.000Z	35 \| good	2.826 \| good	11.929 \| good	38.462 \| good	2.677 \| good	3.39 \| good	0.151 \| good
2025-10-22T18:00:00.000Z	35 \| good	2.407 \| good	9.955 \| good	38.436 \| good	2.052 \| good	1.874 \| good	0.134 \| good
2025-10-22T19:00:00.000Z	34 \| good	2.264 \| good	9.075 \| good	36.683 \| good	1.845 \| good	1.994 \| good	0.134 \| good
2025-10-22T20:00:00.000Z	32 \| good	2.44 \| good	10.027 \| good	34.564 \| good	1.638 \| good	2.114 \| good	0.134 \| good
2025-10-22T21:00:00.000Z	29 \| good	2.809 \| good	11.949 \| good	30.73 \| good	1.431 \| good	2.234 \| good	0.134 \| good
2025-10-22T22:00:00.000Z	27 \| good	3.584 \| good	15.91 \| good	29.039 \| good	1.542 \| good	3.863 \| good	0.145 \| good
2025-10-22T23:00:00.000Z	25 \| good	4.363 \| good	18.994 \| good	26.957 \| good	1.653 \| good	5.493 \| good	0.156 \| good
2025-10-23T00:00:00.000Z	27 \| good	4.624 \| good	4.629 \| good	25.858 \| good	1.759 \| good	7.101 \| good	0.166 \| good
2025-10-23T01:00:00.000Z	27 \| good	5.101 \| good	21.962 \| good	19.711 \| good	1.906 \| good	8.203 \| good	0.17 \| good
2025-10-23T02:00:00.000Z	38 \| good	7.075 \| good	31.699 \| good	21.078 \| good	2.047 \| good	9.282 \| good	0.174 \| good
2025-10-23T03:00:00.000Z	38 \| good	6.706 \| good	29.748 \| good	20.19 \| good	2.189 \| good	10.362 \| good	0.178 \| good
2025-10-23T04:00:00.000Z	27 \| good	5.288 \| good	22.942 \| good	18.112 \| good	2.284 \| good	9.576 \| good	0.173 \| good
2025-10-23T05:00:00.000Z	33 \| good	6.465 \| good	28.766 \| good	18.202 \| good	2.379 \| good	8.79 \| good	0.167 \| good

Southeast, New York live air quality index now

Major air pollutants in Southeast, New York

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Southeast, New York air quality forecast and history

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Southeast, New York air quality map: Track AQI near you

Air quality in nearby cities

Carmel, New York

Kent, New York

Somers, New York

Patterson, New York

New Fairfield, Connecticut

Danbury, Connecticut

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Air quality levels in US

Frequently asked questions

How often is the air quality data for Southeast, New York updated?

When was the worst air quality at Southeast, New York in the last 24 hrs?

When was the best air quality at Southeast, New York in the last 24 hrs?

What is the current air quality in Southeast, New York?

What pollutant is the most common in Southeast, New York?

What should I do if the air quality in Southeast, New York is poor?

What is the current concentration of PM2.5 in Southeast, New York?

What is the current concentration of PM10 in Southeast, New York?

What is the current concentration of carbon monoxide (CO) in Southeast, New York?

What is the current concentration of sulfur dioxide (SO2) in Southeast, New York?

What is the current concentration of ozone (O3) in Southeast, New York?

What is the current concentration of nitrogen dioxide (NO2) in Southeast, New York?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What is the current concentration of PM_2.5 in Southeast, New York?

What is the current concentration of PM₁₀ in Southeast, New York?

What is the current concentration of sulfur dioxide (SO₂) in Southeast, New York?

What is the current concentration of ozone (O₃) in Southeast, New York?

What is the current concentration of nitrogen dioxide (NO₂) in Southeast, New York?