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

The current PM10 levels in Tarrytown, New York are 28.834 μg/m3.

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

The current sulfur dioxide (SO2) levels in Tarrytown, New York are 1.173 ppb.

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

The current ozone (O3) levels at Tarrytown, New York is 18.667 ppm.

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

The current nitrogen dioxide (NO2) levels at Tarrytown, New York is 18.827 ppb.

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

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

The measured PM2.5 levels in Tarrytown, New York at present are 6.801 μg/m3.

Stay updated with real-time air quality in Tarrytown, 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

Tarrytown, New York

Last updated: ... (Local time)

Common air pollutants in Tarrytown, New York

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

6.80 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

28.83 μg/m³

155

255

425

605+

Ozone (O₃)

18.67 ppb

201

201+

Sulfur Dioxide (SO₂)

1.17 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

18.83 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.36 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Tarrytown, New York

Get Live Pollen Counts

Tarrytown, New York

Scroll To Air Quality Map

Track live Tarrytown, New York air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-11-01T19:00:00.000Z	26 \| good	2.078 \| good	7.588 \| good	27.809 \| good	0.362 \| good	4.787 \| good	0.237 \| good
2026-11-01T20:00:00.000Z	28 \| good	2.475 \| good	10.31 \| good	30.28 \| good	0.577 \| good	5.805 \| good	0.256 \| good
2026-11-01T21:00:00.000Z	27 \| good	3.792 \| good	15.802 \| good	29.166 \| good	0.565 \| good	8.95 \| good	0.268 \| good
2026-11-01T22:00:00.000Z	25 \| good	3.839 \| good	15.542 \| good	27.207 \| good	0.613 \| good	10.412 \| good	0.287 \| good
2026-11-01T23:00:00.000Z	22 \| good	3.867 \| good	16.902 \| good	24.28 \| good	0.63 \| good	11.384 \| good	0.294 \| good
2026-11-02T00:00:00.000Z	33 \| good	5.553 \| good	24.82 \| good	20.712 \| good	0.495 \| good	18.855 \| good	0.453 \| good
2026-11-02T01:00:00.000Z	38 \| good	7.001 \| good	29.387 \| good	15.985 \| good	0.473 \| good	22.39 \| good	0.479 \| good
2026-11-02T02:00:00.000Z	44 \| good	8.095 \| good	36.011 \| good	12.599 \| good	0.487 \| good	26.158 \| good	0.479 \| good
2026-11-02T03:00:00.000Z	44 \| good	8.198 \| good	36.019 \| good	9.269 \| good	0.716 \| good	22.349 \| good	0.413 \| good
2026-11-02T04:00:00.000Z	52 \| moderate	10.055 \| good	46.722 \| good	7.868 \| good	0.772 \| good	23.476 \| good	0.406 \| good
2026-11-02T05:00:00.000Z	52 \| moderate	9.726 \| good	43.763 \| good	5.319 \| good	0.966 \| good	22.803 \| good	0.409 \| good
2026-11-02T06:00:00.000Z	49 \| good	9.319 \| good	42.291 \| good	5.257 \| good	0.82 \| good	18.037 \| good	0.327 \| good
2026-11-02T07:00:00.000Z	49 \| good	9.078 \| good	40.338 \| good	13.366 \| good	0.883 \| good	17.457 \| good	0.322 \| good
2026-11-02T08:00:00.000Z	49 \| good	9.406 \| good	41.992 \| good	11.901 \| good	0.556 \| good	19.476 \| good	0.301 \| good
2026-11-02T09:00:00.000Z	44 \| good	8.322 \| good	37.517 \| good	11.457 \| good	0.736 \| good	20.987 \| good	0.404 \| good
2026-11-02T10:00:00.000Z	44 \| good	7.931 \| good	34.191 \| good	5.603 \| good	0.768 \| good	21.192 \| good	0.381 \| good
2026-11-02T11:00:00.000Z	44 \| good	7.808 \| good	34.064 \| good	4.757 \| good	0.673 \| good	20.267 \| good	0.545 \| good
2026-11-02T12:00:00.000Z	49 \| good	9.312 \| good	41.77 \| good	5.148 \| good	0.768 \| good	22.401 \| good	0.485 \| good
2026-11-02T13:00:00.000Z	49 \| good	9.25 \| good	44.838 \| good	5.173 \| good	0.731 \| good	25.879 \| good	0.516 \| good
2026-11-02T14:00:00.000Z	52 \| moderate	10.3 \| good	46.03 \| good	6.695 \| good	0.978 \| good	27.23 \| good	0.578 \| good
2026-11-02T15:00:00.000Z	54 \| moderate	10.749 \| good	48.148 \| good	7.786 \| good	1.111 \| good	25.791 \| good	0.503 \| good
2026-11-02T16:00:00.000Z	44 \| good	8.498 \| good	38.186 \| good	15.654 \| good	1.155 \| good	26.542 \| good	0.496 \| good
2026-11-02T17:00:00.000Z	33 \| good	6.182 \| good	27.88 \| good	18.545 \| good	1.098 \| good	13.513 \| good	0.27 \| good
2026-11-02T18:00:00.000Z	21 \| good	3.454 \| good	14.826 \| good	23.172 \| good	1.15 \| good	13.551 \| good	0.263 \| good
2026-11-02T19:00:00.000Z	26 \| good	3.317 \| good	14.384 \| good	28.431 \| good	0.841 \| good	13.471 \| good	0.263 \| good
2026-11-02T20:00:00.000Z	28 \| good	2.905 \| good	12.571 \| good	29.735 \| good	0.697 \| good	17.173 \| good	0.275 \| good
2026-11-02T21:00:00.000Z	27 \| good	4.842 \| good	21.603 \| good	28.398 \| good	0.696 \| good	17.406 \| good	0.275 \| good
2026-11-02T22:00:00.000Z	38 \| good	6.819 \| good	30.399 \| good	25.729 \| good	0.694 \| good	18.75 \| good	0.276 \| good
2026-11-02T23:00:00.000Z	38 \| good	7.494 \| good	33.584 \| good	25.44 \| good	0.559 \| good	20.889 \| good	0.294 \| good
2026-11-03T00:00:00.000Z	38 \| good	7.278 \| good	34.008 \| good	23.305 \| good	0.525 \| good	25.043 \| good	0.38 \| good
2026-11-03T01:00:00.000Z	44 \| good	7.636 \| good	33.675 \| good	18.002 \| good	0.493 \| good	28.76 \| good	0.404 \| good
2026-11-03T02:00:00.000Z	44 \| good	7.567 \| good	34.056 \| good	14.341 \| good	0.518 \| good	24.653 \| good	0.46 \| good
2026-11-03T03:00:00.000Z	38 \| good	7.172 \| good	31.906 \| good	11.636 \| good	0.486 \| good	23.929 \| good	0.367 \| good
2026-11-03T04:00:00.000Z	38 \| good	6.939 \| good	29.838 \| good	8.121 \| good	0.634 \| good	28.294 \| good	0.356 \| good
2026-11-03T05:00:00.000Z	38 \| good	6.908 \| good	30.567 \| good	6.866 \| good	0.734 \| good	23.599 \| good	0.349 \| good
2026-11-03T06:00:00.000Z	38 \| good	7.315 \| good	32.249 \| good	4.507 \| good	0.757 \| good	24.941 \| good	0.349 \| good
2026-11-03T07:00:00.000Z	44 \| good	7.665 \| good	34.783 \| good	4.452 \| good	0.753 \| good	23.005 \| good	0.353 \| good
2026-11-03T08:00:00.000Z	44 \| good	7.558 \| good	32.912 \| good	4.107 \| good	0.57 \| good	24.903 \| good	0.263 \| good
2026-11-03T09:00:00.000Z	38 \| good	7.475 \| good	32.662 \| good	4.451 \| good	0.587 \| good	24.321 \| good	0.288 \| good
2026-11-03T10:00:00.000Z	44 \| good	7.63 \| good	33.68 \| good	4.406 \| good	0.636 \| good	24.176 \| good	0.281 \| good
2026-11-03T11:00:00.000Z	44 \| good	7.611 \| good	33.282 \| good	5.56 \| good	0.647 \| good	22.799 \| good	0.343 \| good
2026-11-03T12:00:00.000Z	49 \| good	8.744 \| good	39.039 \| good	4.872 \| good	0.928 \| good	25.429 \| good	0.441 \| good
2026-11-03T13:00:00.000Z	49 \| good	8.785 \| good	39.116 \| good	5.482 \| good	0.908 \| good	26.48 \| good	0.462 \| good
2026-11-03T14:00:00.000Z	52 \| moderate	10.324 \| good	45.425 \| good	7.608 \| good	0.84 \| good	28.264 \| good	0.502 \| good
2026-11-03T15:00:00.000Z	52 \| moderate	10.374 \| good	46.911 \| good	8.61 \| good	0.956 \| good	31.587 \| good	0.495 \| good
2026-11-03T16:00:00.000Z	54 \| moderate	10.514 \| good	47.113 \| good	9.141 \| good	1.293 \| good	26.338 \| good	0.416 \| good
2026-11-03T17:00:00.000Z	54 \| moderate	10.607 \| good	47.671 \| good	12.673 \| good	1.323 \| good	26.387 \| good	0.429 \| good
2026-11-03T18:00:00.000Z	44 \| good	7.512 \| good	32.03 \| good	18.366 \| good	1.176 \| good	20.136 \| good	0.355 \| good
2026-11-03T18:00:00.000Z	38 \| good	6.801 \| good	28.834 \| good	18.667 \| good	1.173 \| good	18.827 \| good	0.363 \| good
2026-11-03T19:00:00.000Z	39 \| good	5.325 \| good	23.184 \| good	42.022 \| good	1.15 \| good	11.648 \| good	0.207 \| good
2026-11-03T20:00:00.000Z	44 \| good	7.563 \| good	33.267 \| good	37.605 \| good	1.158 \| good	12.152 \| good	0.206 \| good
2026-11-03T21:00:00.000Z	49 \| good	8.736 \| good	38.358 \| good	29.107 \| good	1.168 \| good	14.921 \| good	0.215 \| good
2026-11-03T22:00:00.000Z	54 \| moderate	11.266 \| good	49.939 \| good	18.425 \| good	1.195 \| good	24.267 \| good	0.254 \| good
2026-11-03T23:00:00.000Z	58 \| moderate	12.881 \| fine	57.629 \| fine	11.274 \| good	1.237 \| good	28.847 \| good	0.277 \| good
2026-11-04T00:00:00.000Z	66 \| moderate	17.136 \| fine	76.13 \| fine	5.057 \| good	1.263 \| good	30.886 \| good	0.281 \| good
2026-11-04T01:00:00.000Z	75 \| moderate	21.504 \| fine	94.359 \| fine	3.251 \| good	1.259 \| good	31.741 \| good	0.28 \| good
2026-11-04T02:00:00.000Z	82 \| moderate	25.522 \| fine	111.077 \| fine	3.122 \| good	1.233 \| good	31.512 \| good	0.274 \| good
2026-11-04T03:00:00.000Z	84 \| moderate	26.622 \| fine	115.783 \| fine	3.19 \| good	1.186 \| good	30.761 \| good	0.267 \| good
2026-11-04T04:00:00.000Z	79 \| moderate	24.336 \| fine	106.373 \| fine	1.849 \| good	1.11 \| good	28.885 \| good	0.256 \| good
2026-11-04T05:00:00.000Z	71 \| moderate	20.439 \| fine	89.792 \| fine	1.863 \| good	1.024 \| good	25.79 \| good	0.242 \| good
2026-11-04T06:00:00.000Z	64 \| moderate	15.86 \| fine	70.477 \| fine	1.184 \| good	0.952 \| good	22.134 \| good	0.229 \| good
2026-11-04T07:00:00.000Z	54 \| moderate	11.28 \| good	49.813 \| good	1.514 \| good	0.887 \| good	19.188 \| good	0.217 \| good
2026-11-04T08:00:00.000Z	49 \| good	9.462 \| good	42.042 \| good	1.644 \| good	0.833 \| good	17.24 \| good	0.208 \| good
2026-11-04T09:00:00.000Z	44 \| good	8.412 \| good	37.004 \| good	0.747 \| good	0.794 \| good	16.337 \| good	0.201 \| good
2026-11-04T10:00:00.000Z	44 \| good	7.762 \| good	34.033 \| good	0.442 \| good	0.777 \| good	16.876 \| good	0.2 \| good
2026-11-04T11:00:00.000Z	49 \| good	8.786 \| good	38.655 \| good	0.331 \| good	0.815 \| good	19.455 \| good	0.213 \| good
2026-11-04T12:00:00.000Z	52 \| moderate	10.407 \| good	46.052 \| good	1.157 \| good	0.911 \| good	21.277 \| good	0.251 \| good
2026-11-04T13:00:00.000Z	49 \| good	9.225 \| good	41.021 \| good	5.564 \| good	0.949 \| good	19.579 \| good	0.281 \| good
2026-11-04T14:00:00.000Z	33 \| good	6.426 \| good	28.663 \| good	17.329 \| good	0.953 \| good	16.221 \| good	0.235 \| good
2026-11-04T15:00:00.000Z	24 \| good	3.579 \| good	15.563 \| good	26.136 \| good	0.999 \| good	13.828 \| good	0.21 \| good
2026-11-04T16:00:00.000Z	30 \| good	3.663 \| good	16.011 \| good	31.506 \| good	1.008 \| good	12.047 \| good	0.193 \| good
2026-11-04T17:00:00.000Z	35 \| good	2.972 \| good	12.045 \| good	37.636 \| good	0.978 \| good	10.475 \| good	0.181 \| good
2026-11-04T18:00:00.000Z	36 \| good	1.706 \| good	6.932 \| good	39.141 \| good	0.941 \| good	9.089 \| good	0.173 \| good
2026-11-04T19:00:00.000Z	37 \| good	1.682 \| good	6.866 \| good	40.485 \| good	0.915 \| good	8.579 \| good	0.168 \| good
2026-11-04T20:00:00.000Z	35 \| good	2.572 \| good	10.492 \| good	38.423 \| good	0.911 \| good	9.467 \| good	0.168 \| good
2026-11-04T21:00:00.000Z	25 \| good	2.979 \| good	12.577 \| good	27.267 \| good	0.912 \| good	13.291 \| good	0.177 \| good
2026-11-04T22:00:00.000Z	22 \| good	4.11 \| good	18.083 \| good	16.835 \| good	0.901 \| good	20.252 \| good	0.202 \| good
2026-11-04T23:00:00.000Z	23 \| good	2.934 \| good	12.16 \| good	10.341 \| good	0.887 \| good	24.152 \| good	0.216 \| good
2026-11-05T00:00:00.000Z	25 \| good	4.371 \| good	18.965 \| good	7.78 \| good	0.872 \| good	25.579 \| good	0.215 \| good
2026-11-05T01:00:00.000Z	27 \| good	4.961 \| good	21.635 \| good	9.34 \| good	0.841 \| good	25.53 \| good	0.207 \| good
2026-11-05T02:00:00.000Z	33 \| good	5.776 \| good	25.323 \| good	7.469 \| good	0.801 \| good	24.612 \| good	0.197 \| good
2026-11-05T03:00:00.000Z	27 \| good	5.466 \| good	23.482 \| good	5.202 \| good	0.76 \| good	23.52 \| good	0.187 \| good
2026-11-05T04:00:00.000Z	22 \| good	4.407 \| good	19.162 \| good	3.596 \| good	0.703 \| good	20.888 \| good	0.177 \| good
2026-11-05T05:00:00.000Z	27 \| good	5.088 \| good	22.047 \| good	4.713 \| good	0.645 \| good	16.982 \| good	0.167 \| good
2026-11-05T06:00:00.000Z	27 \| good	5.434 \| good	23.229 \| good	4.554 \| good	0.609 \| good	14.277 \| good	0.158 \| good
2026-11-05T07:00:00.000Z	33 \| good	5.751 \| good	24.893 \| good	4.081 \| good	0.591 \| good	12.729 \| good	0.152 \| good
2026-11-05T08:00:00.000Z	33 \| good	5.765 \| good	25.703 \| good	2.445 \| good	0.585 \| good	11.972 \| good	0.149 \| good
2026-11-05T09:00:00.000Z	27 \| good	4.937 \| good	21.136 \| good	2.235 \| good	0.59 \| good	11.738 \| good	0.147 \| good
2026-11-05T10:00:00.000Z	22 \| good	3.749 \| good	16.315 \| good	1.608 \| good	0.608 \| good	12.288 \| good	0.147 \| good
2026-11-05T11:00:00.000Z	22 \| good	4.279 \| good	18.496 \| good	1.375 \| good	0.661 \| good	15.245 \| good	0.156 \| good
2026-11-05T12:00:00.000Z	22 \| good	4.346 \| good	18.786 \| good	1.933 \| good	0.735 \| good	17.871 \| good	0.174 \| good
2026-11-05T13:00:00.000Z	22 \| good	4.036 \| good	17.586 \| good	2.062 \| good	0.773 \| good	18.874 \| good	0.186 \| good
2026-11-05T14:00:00.000Z	22 \| good	4.498 \| good	19.621 \| good	5.381 \| good	0.829 \| good	20.616 \| good	0.209 \| good
2026-11-05T15:00:00.000Z	20 \| good	3.085 \| good	12.724 \| good	17.291 \| good	0.818 \| good	20.593 \| good	0.204 \| good
2026-11-05T16:00:00.000Z	21 \| good	3.438 \| good	14.811 \| good	22.743 \| good	0.754 \| good	17.134 \| good	0.189 \| good
2026-11-05T17:00:00.000Z	33 \| good	5.647 \| good	24.78 \| good	30.861 \| good	0.667 \| good	13.162 \| good	0.165 \| good
2026-11-05T18:00:00.000Z	31 \| good	3.405 \| good	15.034 \| good	34.068 \| good	0.638 \| good	11.501 \| good	0.159 \| good

Tarrytown

Empower business decisions with accurate air quality data

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

0.43ppm

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 Tarrytown, New York updated?

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

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

The worst air quality in Tarrytown, New York was recorded at 05:00:00 on 2026-11-03.

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

The best air quality in Tarrytown, New York was recorded at 06:00:00 on 2026-11-02.

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

The real-time air quality index in Tarrytown, New York is 38, currently categorized as Good.

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

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

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

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

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

The measured PM_2.5 levels in Tarrytown, New York at present are 6.801 μg/m³.

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

The current PM₁₀ levels in Tarrytown, New York are 28.834 μg/m³.

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

The current carbon monoxide (CO) level in Tarrytown, New York is 0.363 ppm.

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

The current sulfur dioxide (SO₂) levels in Tarrytown, New York are 1.173 ppb.

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

The current ozone (O₃) levels at Tarrytown, New York is 18.667 ppm.

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

The current nitrogen dioxide (NO₂) levels at Tarrytown, New York is 18.827 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-11-01T19:00:00.000Z	26 \| good	2.078 \| good	7.588 \| good	27.809 \| good	0.362 \| good	4.787 \| good	0.237 \| good
2026-11-01T20:00:00.000Z	28 \| good	2.475 \| good	10.31 \| good	30.28 \| good	0.577 \| good	5.805 \| good	0.256 \| good
2026-11-01T21:00:00.000Z	27 \| good	3.792 \| good	15.802 \| good	29.166 \| good	0.565 \| good	8.95 \| good	0.268 \| good
2026-11-01T22:00:00.000Z	25 \| good	3.839 \| good	15.542 \| good	27.207 \| good	0.613 \| good	10.412 \| good	0.287 \| good
2026-11-01T23:00:00.000Z	22 \| good	3.867 \| good	16.902 \| good	24.28 \| good	0.63 \| good	11.384 \| good	0.294 \| good
2026-11-02T00:00:00.000Z	33 \| good	5.553 \| good	24.82 \| good	20.712 \| good	0.495 \| good	18.855 \| good	0.453 \| good
2026-11-02T01:00:00.000Z	38 \| good	7.001 \| good	29.387 \| good	15.985 \| good	0.473 \| good	22.39 \| good	0.479 \| good
2026-11-02T02:00:00.000Z	44 \| good	8.095 \| good	36.011 \| good	12.599 \| good	0.487 \| good	26.158 \| good	0.479 \| good
2026-11-02T03:00:00.000Z	44 \| good	8.198 \| good	36.019 \| good	9.269 \| good	0.716 \| good	22.349 \| good	0.413 \| good
2026-11-02T04:00:00.000Z	52 \| moderate	10.055 \| good	46.722 \| good	7.868 \| good	0.772 \| good	23.476 \| good	0.406 \| good
2026-11-02T05:00:00.000Z	52 \| moderate	9.726 \| good	43.763 \| good	5.319 \| good	0.966 \| good	22.803 \| good	0.409 \| good
2026-11-02T06:00:00.000Z	49 \| good	9.319 \| good	42.291 \| good	5.257 \| good	0.82 \| good	18.037 \| good	0.327 \| good
2026-11-02T07:00:00.000Z	49 \| good	9.078 \| good	40.338 \| good	13.366 \| good	0.883 \| good	17.457 \| good	0.322 \| good
2026-11-02T08:00:00.000Z	49 \| good	9.406 \| good	41.992 \| good	11.901 \| good	0.556 \| good	19.476 \| good	0.301 \| good
2026-11-02T09:00:00.000Z	44 \| good	8.322 \| good	37.517 \| good	11.457 \| good	0.736 \| good	20.987 \| good	0.404 \| good
2026-11-02T10:00:00.000Z	44 \| good	7.931 \| good	34.191 \| good	5.603 \| good	0.768 \| good	21.192 \| good	0.381 \| good
2026-11-02T11:00:00.000Z	44 \| good	7.808 \| good	34.064 \| good	4.757 \| good	0.673 \| good	20.267 \| good	0.545 \| good
2026-11-02T12:00:00.000Z	49 \| good	9.312 \| good	41.77 \| good	5.148 \| good	0.768 \| good	22.401 \| good	0.485 \| good
2026-11-02T13:00:00.000Z	49 \| good	9.25 \| good	44.838 \| good	5.173 \| good	0.731 \| good	25.879 \| good	0.516 \| good
2026-11-02T14:00:00.000Z	52 \| moderate	10.3 \| good	46.03 \| good	6.695 \| good	0.978 \| good	27.23 \| good	0.578 \| good
2026-11-02T15:00:00.000Z	54 \| moderate	10.749 \| good	48.148 \| good	7.786 \| good	1.111 \| good	25.791 \| good	0.503 \| good
2026-11-02T16:00:00.000Z	44 \| good	8.498 \| good	38.186 \| good	15.654 \| good	1.155 \| good	26.542 \| good	0.496 \| good
2026-11-02T17:00:00.000Z	33 \| good	6.182 \| good	27.88 \| good	18.545 \| good	1.098 \| good	13.513 \| good	0.27 \| good
2026-11-02T18:00:00.000Z	21 \| good	3.454 \| good	14.826 \| good	23.172 \| good	1.15 \| good	13.551 \| good	0.263 \| good
2026-11-02T19:00:00.000Z	26 \| good	3.317 \| good	14.384 \| good	28.431 \| good	0.841 \| good	13.471 \| good	0.263 \| good
2026-11-02T20:00:00.000Z	28 \| good	2.905 \| good	12.571 \| good	29.735 \| good	0.697 \| good	17.173 \| good	0.275 \| good
2026-11-02T21:00:00.000Z	27 \| good	4.842 \| good	21.603 \| good	28.398 \| good	0.696 \| good	17.406 \| good	0.275 \| good
2026-11-02T22:00:00.000Z	38 \| good	6.819 \| good	30.399 \| good	25.729 \| good	0.694 \| good	18.75 \| good	0.276 \| good
2026-11-02T23:00:00.000Z	38 \| good	7.494 \| good	33.584 \| good	25.44 \| good	0.559 \| good	20.889 \| good	0.294 \| good
2026-11-03T00:00:00.000Z	38 \| good	7.278 \| good	34.008 \| good	23.305 \| good	0.525 \| good	25.043 \| good	0.38 \| good
2026-11-03T01:00:00.000Z	44 \| good	7.636 \| good	33.675 \| good	18.002 \| good	0.493 \| good	28.76 \| good	0.404 \| good
2026-11-03T02:00:00.000Z	44 \| good	7.567 \| good	34.056 \| good	14.341 \| good	0.518 \| good	24.653 \| good	0.46 \| good
2026-11-03T03:00:00.000Z	38 \| good	7.172 \| good	31.906 \| good	11.636 \| good	0.486 \| good	23.929 \| good	0.367 \| good
2026-11-03T04:00:00.000Z	38 \| good	6.939 \| good	29.838 \| good	8.121 \| good	0.634 \| good	28.294 \| good	0.356 \| good
2026-11-03T05:00:00.000Z	38 \| good	6.908 \| good	30.567 \| good	6.866 \| good	0.734 \| good	23.599 \| good	0.349 \| good
2026-11-03T06:00:00.000Z	38 \| good	7.315 \| good	32.249 \| good	4.507 \| good	0.757 \| good	24.941 \| good	0.349 \| good
2026-11-03T07:00:00.000Z	44 \| good	7.665 \| good	34.783 \| good	4.452 \| good	0.753 \| good	23.005 \| good	0.353 \| good
2026-11-03T08:00:00.000Z	44 \| good	7.558 \| good	32.912 \| good	4.107 \| good	0.57 \| good	24.903 \| good	0.263 \| good
2026-11-03T09:00:00.000Z	38 \| good	7.475 \| good	32.662 \| good	4.451 \| good	0.587 \| good	24.321 \| good	0.288 \| good
2026-11-03T10:00:00.000Z	44 \| good	7.63 \| good	33.68 \| good	4.406 \| good	0.636 \| good	24.176 \| good	0.281 \| good
2026-11-03T11:00:00.000Z	44 \| good	7.611 \| good	33.282 \| good	5.56 \| good	0.647 \| good	22.799 \| good	0.343 \| good
2026-11-03T12:00:00.000Z	49 \| good	8.744 \| good	39.039 \| good	4.872 \| good	0.928 \| good	25.429 \| good	0.441 \| good
2026-11-03T13:00:00.000Z	49 \| good	8.785 \| good	39.116 \| good	5.482 \| good	0.908 \| good	26.48 \| good	0.462 \| good
2026-11-03T14:00:00.000Z	52 \| moderate	10.324 \| good	45.425 \| good	7.608 \| good	0.84 \| good	28.264 \| good	0.502 \| good
2026-11-03T15:00:00.000Z	52 \| moderate	10.374 \| good	46.911 \| good	8.61 \| good	0.956 \| good	31.587 \| good	0.495 \| good
2026-11-03T16:00:00.000Z	54 \| moderate	10.514 \| good	47.113 \| good	9.141 \| good	1.293 \| good	26.338 \| good	0.416 \| good
2026-11-03T17:00:00.000Z	54 \| moderate	10.607 \| good	47.671 \| good	12.673 \| good	1.323 \| good	26.387 \| good	0.429 \| good
2026-11-03T18:00:00.000Z	44 \| good	7.512 \| good	32.03 \| good	18.366 \| good	1.176 \| good	20.136 \| good	0.355 \| good
2026-11-03T18:00:00.000Z	38 \| good	6.801 \| good	28.834 \| good	18.667 \| good	1.173 \| good	18.827 \| good	0.363 \| good
2026-11-03T19:00:00.000Z	39 \| good	5.325 \| good	23.184 \| good	42.022 \| good	1.15 \| good	11.648 \| good	0.207 \| good
2026-11-03T20:00:00.000Z	44 \| good	7.563 \| good	33.267 \| good	37.605 \| good	1.158 \| good	12.152 \| good	0.206 \| good
2026-11-03T21:00:00.000Z	49 \| good	8.736 \| good	38.358 \| good	29.107 \| good	1.168 \| good	14.921 \| good	0.215 \| good
2026-11-03T22:00:00.000Z	54 \| moderate	11.266 \| good	49.939 \| good	18.425 \| good	1.195 \| good	24.267 \| good	0.254 \| good
2026-11-03T23:00:00.000Z	58 \| moderate	12.881 \| fine	57.629 \| fine	11.274 \| good	1.237 \| good	28.847 \| good	0.277 \| good
2026-11-04T00:00:00.000Z	66 \| moderate	17.136 \| fine	76.13 \| fine	5.057 \| good	1.263 \| good	30.886 \| good	0.281 \| good
2026-11-04T01:00:00.000Z	75 \| moderate	21.504 \| fine	94.359 \| fine	3.251 \| good	1.259 \| good	31.741 \| good	0.28 \| good
2026-11-04T02:00:00.000Z	82 \| moderate	25.522 \| fine	111.077 \| fine	3.122 \| good	1.233 \| good	31.512 \| good	0.274 \| good
2026-11-04T03:00:00.000Z	84 \| moderate	26.622 \| fine	115.783 \| fine	3.19 \| good	1.186 \| good	30.761 \| good	0.267 \| good
2026-11-04T04:00:00.000Z	79 \| moderate	24.336 \| fine	106.373 \| fine	1.849 \| good	1.11 \| good	28.885 \| good	0.256 \| good
2026-11-04T05:00:00.000Z	71 \| moderate	20.439 \| fine	89.792 \| fine	1.863 \| good	1.024 \| good	25.79 \| good	0.242 \| good
2026-11-04T06:00:00.000Z	64 \| moderate	15.86 \| fine	70.477 \| fine	1.184 \| good	0.952 \| good	22.134 \| good	0.229 \| good
2026-11-04T07:00:00.000Z	54 \| moderate	11.28 \| good	49.813 \| good	1.514 \| good	0.887 \| good	19.188 \| good	0.217 \| good
2026-11-04T08:00:00.000Z	49 \| good	9.462 \| good	42.042 \| good	1.644 \| good	0.833 \| good	17.24 \| good	0.208 \| good
2026-11-04T09:00:00.000Z	44 \| good	8.412 \| good	37.004 \| good	0.747 \| good	0.794 \| good	16.337 \| good	0.201 \| good
2026-11-04T10:00:00.000Z	44 \| good	7.762 \| good	34.033 \| good	0.442 \| good	0.777 \| good	16.876 \| good	0.2 \| good
2026-11-04T11:00:00.000Z	49 \| good	8.786 \| good	38.655 \| good	0.331 \| good	0.815 \| good	19.455 \| good	0.213 \| good
2026-11-04T12:00:00.000Z	52 \| moderate	10.407 \| good	46.052 \| good	1.157 \| good	0.911 \| good	21.277 \| good	0.251 \| good
2026-11-04T13:00:00.000Z	49 \| good	9.225 \| good	41.021 \| good	5.564 \| good	0.949 \| good	19.579 \| good	0.281 \| good
2026-11-04T14:00:00.000Z	33 \| good	6.426 \| good	28.663 \| good	17.329 \| good	0.953 \| good	16.221 \| good	0.235 \| good
2026-11-04T15:00:00.000Z	24 \| good	3.579 \| good	15.563 \| good	26.136 \| good	0.999 \| good	13.828 \| good	0.21 \| good
2026-11-04T16:00:00.000Z	30 \| good	3.663 \| good	16.011 \| good	31.506 \| good	1.008 \| good	12.047 \| good	0.193 \| good
2026-11-04T17:00:00.000Z	35 \| good	2.972 \| good	12.045 \| good	37.636 \| good	0.978 \| good	10.475 \| good	0.181 \| good
2026-11-04T18:00:00.000Z	36 \| good	1.706 \| good	6.932 \| good	39.141 \| good	0.941 \| good	9.089 \| good	0.173 \| good
2026-11-04T19:00:00.000Z	37 \| good	1.682 \| good	6.866 \| good	40.485 \| good	0.915 \| good	8.579 \| good	0.168 \| good
2026-11-04T20:00:00.000Z	35 \| good	2.572 \| good	10.492 \| good	38.423 \| good	0.911 \| good	9.467 \| good	0.168 \| good
2026-11-04T21:00:00.000Z	25 \| good	2.979 \| good	12.577 \| good	27.267 \| good	0.912 \| good	13.291 \| good	0.177 \| good
2026-11-04T22:00:00.000Z	22 \| good	4.11 \| good	18.083 \| good	16.835 \| good	0.901 \| good	20.252 \| good	0.202 \| good
2026-11-04T23:00:00.000Z	23 \| good	2.934 \| good	12.16 \| good	10.341 \| good	0.887 \| good	24.152 \| good	0.216 \| good
2026-11-05T00:00:00.000Z	25 \| good	4.371 \| good	18.965 \| good	7.78 \| good	0.872 \| good	25.579 \| good	0.215 \| good
2026-11-05T01:00:00.000Z	27 \| good	4.961 \| good	21.635 \| good	9.34 \| good	0.841 \| good	25.53 \| good	0.207 \| good
2026-11-05T02:00:00.000Z	33 \| good	5.776 \| good	25.323 \| good	7.469 \| good	0.801 \| good	24.612 \| good	0.197 \| good
2026-11-05T03:00:00.000Z	27 \| good	5.466 \| good	23.482 \| good	5.202 \| good	0.76 \| good	23.52 \| good	0.187 \| good
2026-11-05T04:00:00.000Z	22 \| good	4.407 \| good	19.162 \| good	3.596 \| good	0.703 \| good	20.888 \| good	0.177 \| good
2026-11-05T05:00:00.000Z	27 \| good	5.088 \| good	22.047 \| good	4.713 \| good	0.645 \| good	16.982 \| good	0.167 \| good
2026-11-05T06:00:00.000Z	27 \| good	5.434 \| good	23.229 \| good	4.554 \| good	0.609 \| good	14.277 \| good	0.158 \| good
2026-11-05T07:00:00.000Z	33 \| good	5.751 \| good	24.893 \| good	4.081 \| good	0.591 \| good	12.729 \| good	0.152 \| good
2026-11-05T08:00:00.000Z	33 \| good	5.765 \| good	25.703 \| good	2.445 \| good	0.585 \| good	11.972 \| good	0.149 \| good
2026-11-05T09:00:00.000Z	27 \| good	4.937 \| good	21.136 \| good	2.235 \| good	0.59 \| good	11.738 \| good	0.147 \| good
2026-11-05T10:00:00.000Z	22 \| good	3.749 \| good	16.315 \| good	1.608 \| good	0.608 \| good	12.288 \| good	0.147 \| good
2026-11-05T11:00:00.000Z	22 \| good	4.279 \| good	18.496 \| good	1.375 \| good	0.661 \| good	15.245 \| good	0.156 \| good
2026-11-05T12:00:00.000Z	22 \| good	4.346 \| good	18.786 \| good	1.933 \| good	0.735 \| good	17.871 \| good	0.174 \| good
2026-11-05T13:00:00.000Z	22 \| good	4.036 \| good	17.586 \| good	2.062 \| good	0.773 \| good	18.874 \| good	0.186 \| good
2026-11-05T14:00:00.000Z	22 \| good	4.498 \| good	19.621 \| good	5.381 \| good	0.829 \| good	20.616 \| good	0.209 \| good
2026-11-05T15:00:00.000Z	20 \| good	3.085 \| good	12.724 \| good	17.291 \| good	0.818 \| good	20.593 \| good	0.204 \| good
2026-11-05T16:00:00.000Z	21 \| good	3.438 \| good	14.811 \| good	22.743 \| good	0.754 \| good	17.134 \| good	0.189 \| good
2026-11-05T17:00:00.000Z	33 \| good	5.647 \| good	24.78 \| good	30.861 \| good	0.667 \| good	13.162 \| good	0.165 \| good
2026-11-05T18:00:00.000Z	31 \| good	3.405 \| good	15.034 \| good	34.068 \| good	0.638 \| good	11.501 \| good	0.159 \| good

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

Common air pollutants in Tarrytown, New York

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Tarrytown, New York air quality forecast and history

Empower business decisions with accurate air quality data

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

Air quality in nearby cities

Sleepy Hollow, New York

Greenburgh, New York

Mount Pleasant, New York

Dobbs Ferry, New York

Orangetown, New York

White Plains, 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 Tarrytown, New York updated?

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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