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

The current PM10 concentration at Mount Kisco, New York is 11.815 μg/m3.

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

The current sulfur dioxide (SO2) concentration at Mount Kisco, New York is 0.526 ppb.

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

The current ozone (O3) concentration at Mount Kisco, New York is 30.546 ppm.

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

The current nitrogen dioxide (NO2) concentration at Mount Kisco, New York is 12.381 ppb.

Mount Kisco, New York live air quality index now

Q: What is the current concentration of PM2.5 in Mount Kisco, New York?

The current PM2.5 concentration at Mount Kisco, New York is 2.063 μg/m3.

Stay updated with real-time air quality in Mount Kisco, 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

Mount Kisco, New York

Last updated: ... (Local time)

Major air pollutants in Mount Kisco, New York

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

2.06 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

11.81 μg/m³

155

255

425

605+

Ozone (O₃)

30.55 ppb

201

201+

Sulfur Dioxide (SO₂)

0.53 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

12.38 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.34 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Looks like we don't have this data available right now

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Mount Kisco, New York

Scroll To Air Quality Map

Track live Mount Kisco, New York air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-03-11T14:00:00.000Z	52 \| moderate	9.919 \| good	45.323 \| good	20.808 \| good	1.008 \| good	32.071 \| good	0.456 \| good
2026-03-11T15:00:00.000Z	52 \| moderate	9.53 \| good	38.453 \| good	14.484 \| good	1.352 \| good	28.748 \| good	0.506 \| good
2026-03-11T16:00:00.000Z	49 \| good	9.474 \| good	37.762 \| good	20.347 \| good	0.908 \| good	25.118 \| good	0.447 \| good
2026-03-11T17:00:00.000Z	67 \| moderate	17.889 \| fine	70.221 \| fine	25.652 \| good	0.819 \| good	24.467 \| good	0.408 \| good
2026-03-11T18:00:00.000Z	58 \| moderate	13.411 \| fine	55.812 \| fine	27.729 \| good	0.848 \| good	23.43 \| good	0.357 \| good
2026-03-11T19:00:00.000Z	58 \| moderate	12.628 \| fine	56.303 \| fine	38.115 \| good	0.878 \| good	16.573 \| good	0.355 \| good
2026-03-11T20:00:00.000Z	54 \| moderate	10.823 \| good	44.28 \| good	38.146 \| good	0.652 \| good	14.544 \| good	0.329 \| good
2026-03-11T21:00:00.000Z	58 \| moderate	12.873 \| fine	42.44 \| good	34.06 \| good	0.56 \| good	16.496 \| good	0.346 \| good
2026-03-11T22:00:00.000Z	56 \| moderate	12.102 \| fine	35.359 \| good	31.937 \| good	0.552 \| good	19.649 \| good	0.329 \| good
2026-03-11T23:00:00.000Z	54 \| moderate	11.48 \| good	51.79 \| good	33.89 \| good	0.595 \| good	23.54 \| good	0.318 \| good
2026-03-12T00:00:00.000Z	58 \| moderate	13.039 \| fine	56.568 \| fine	31.702 \| good	0.72 \| good	25.671 \| good	0.383 \| good
2026-03-12T01:00:00.000Z	64 \| moderate	16.38 \| fine	55.841 \| fine	21.745 \| good	0.661 \| good	28.675 \| good	0.39 \| good
2026-03-12T02:00:00.000Z	67 \| moderate	18.207 \| fine	81.058 \| fine	27.879 \| good	0.554 \| good	25.421 \| good	0.423 \| good
2026-03-12T03:00:00.000Z	67 \| moderate	17.995 \| fine	71.815 \| fine	15.011 \| good	0.504 \| good	33.125 \| good	0.466 \| good
2026-03-12T04:00:00.000Z	66 \| moderate	16.845 \| fine	66.705 \| fine	20.948 \| good	0.497 \| good	29.704 \| good	0.432 \| good
2026-03-12T05:00:00.000Z	62 \| moderate	15.497 \| fine	56.374 \| fine	18.913 \| good	0.681 \| good	14.8 \| good	0.345 \| good
2026-03-12T06:00:00.000Z	56 \| moderate	11.726 \| good	50.826 \| good	19.212 \| good	0.473 \| good	14.043 \| good	0.36 \| good
2026-03-12T07:00:00.000Z	44 \| good	8.108 \| good	34.914 \| good	17.89 \| good	0.465 \| good	15.982 \| good	0.365 \| good
2026-03-12T08:00:00.000Z	38 \| good	7.349 \| good	20.101 \| good	22.021 \| good	0.476 \| good	21.439 \| good	0.428 \| good
2026-03-12T09:00:00.000Z	44 \| good	8.26 \| good	18.939 \| good	24.4 \| good	0.456 \| good	26.201 \| good	0.46 \| good
2026-03-12T10:00:00.000Z	58 \| moderate	12.573 \| fine	43.407 \| good	6.756 \| good	0.471 \| good	16.241 \| good	0.477 \| good
2026-03-12T11:00:00.000Z	44 \| good	8.216 \| good	25.769 \| good	7.385 \| good	0.459 \| good	16.264 \| good	0.339 \| good
2026-03-12T12:00:00.000Z	59 \| moderate	13.431 \| fine	72.474 \| fine	16.174 \| good	0.445 \| good	12.364 \| good	0.322 \| good
2026-03-12T13:00:00.000Z	88 \| moderate	27.71 \| fine	129.3 \| fine	9.993 \| good	0.409 \| good	7.792 \| good	0.297 \| good
2026-03-12T14:00:00.000Z	27 \| good	5.297 \| good	27.884 \| good	20.011 \| good	0.284 \| good	4.905 \| good	0.199 \| good
2026-03-12T15:00:00.000Z	27 \| good	2.342 \| good	7.647 \| good	28.781 \| good	0.305 \| good	4.674 \| good	0.199 \| good
2026-03-12T16:00:00.000Z	29 \| good	2.426 \| good	7.864 \| good	31.316 \| good	0.32 \| good	3.322 \| good	0.199 \| good
2026-03-12T17:00:00.000Z	29 \| good	1.716 \| good	5.353 \| good	30.515 \| good	0.32 \| good	3.595 \| good	0.229 \| good
2026-03-12T18:00:00.000Z	31 \| good	2.538 \| good	7.005 \| good	33.161 \| good	0.312 \| good	3.623 \| good	0.184 \| good
2026-03-12T19:00:00.000Z	31 \| good	1.327 \| good	6.21 \| good	33.308 \| good	0.252 \| good	4.273 \| good	0.223 \| good
2026-03-12T20:00:00.000Z	31 \| good	2.674 \| good	12.248 \| good	33.425 \| good	0.283 \| good	3.72 \| good	0.201 \| good
2026-03-12T21:00:00.000Z	32 \| good	3.297 \| good	14.334 \| good	35.168 \| good	0.284 \| good	3.049 \| good	0.207 \| good
2026-03-12T22:00:00.000Z	34 \| good	3.492 \| good	13.796 \| good	36.511 \| good	0.245 \| good	4.235 \| good	0.276 \| good
2026-03-12T23:00:00.000Z	32 \| good	3.668 \| good	8.196 \| good	34.922 \| good	0.188 \| good	5.453 \| good	0.243 \| good
2026-03-13T00:00:00.000Z	32 \| good	3.98 \| good	17.479 \| good	34.882 \| good	0.249 \| good	5.59 \| good	0.207 \| good
2026-03-13T01:00:00.000Z	31 \| good	3.8 \| good	13.337 \| good	33.63 \| good	0.286 \| good	7.637 \| good	0.237 \| good
2026-03-13T02:00:00.000Z	30 \| good	3.41 \| good	15.055 \| good	31.573 \| good	0.171 \| good	8.342 \| good	0.229 \| good
2026-03-13T03:00:00.000Z	27 \| good	2.788 \| good	11.121 \| good	29.164 \| good	0.227 \| good	6.195 \| good	0.207 \| good
2026-03-13T04:00:00.000Z	28 \| good	2.633 \| good	10.44 \| good	30.371 \| good	0.212 \| good	6.222 \| good	0.207 \| good
2026-03-13T05:00:00.000Z	30 \| good	2.311 \| good	8.021 \| good	31.855 \| good	0.246 \| good	4.48 \| good	0.207 \| good
2026-03-13T06:00:00.000Z	33 \| good	2.567 \| good	10.579 \| good	35.683 \| good	0.284 \| good	4.246 \| good	0.207 \| good
2026-03-13T07:00:00.000Z	30 \| good	2.97 \| good	11.401 \| good	32.489 \| good	0.305 \| good	4.14 \| good	0.207 \| good
2026-03-13T08:00:00.000Z	31 \| good	1.516 \| good	5.981 \| good	33.957 \| good	0.19 \| good	4.34 \| good	0.192 \| good
2026-03-13T09:00:00.000Z	32 \| good	1.531 \| good	6.244 \| good	34.634 \| good	0.173 \| good	4 \| good	0.192 \| good
2026-03-13T10:00:00.000Z	32 \| good	2.749 \| good	13.761 \| good	34.845 \| good	0.148 \| good	7.019 \| good	0.184 \| good
2026-03-13T11:00:00.000Z	32 \| good	3.089 \| good	11.158 \| good	35.12 \| good	0.161 \| good	7.543 \| good	0.237 \| good
2026-03-13T12:00:00.000Z	32 \| good	3.663 \| good	16.879 \| good	34.872 \| good	0.214 \| good	8.823 \| good	0.24 \| good
2026-03-13T13:00:00.000Z	29 \| good	2.063 \| good	11.815 \| good	30.546 \| good	0.526 \| good	12.381 \| good	0.337 \| good
2026-03-13T13:00:00.000Z	29 \| good	2.063 \| good	11.815 \| good	30.546 \| good	0.526 \| good	12.381 \| good	0.337 \| good
2026-03-13T14:00:00.000Z	28 \| good	1.727 \| good	7.082 \| good	29.809 \| good	1.069 \| good	6.131 \| good	0.186 \| good
2026-03-13T15:00:00.000Z	28 \| good	1.965 \| good	8.191 \| good	29.963 \| good	1.103 \| good	5.054 \| good	0.182 \| good
2026-03-13T16:00:00.000Z	26 \| good	1.664 \| good	6.849 \| good	28.314 \| good	1.32 \| good	6.123 \| good	0.182 \| good
2026-03-13T17:00:00.000Z	23 \| good	3.614 \| good	15.582 \| good	24.595 \| good	1.537 \| good	7.191 \| good	0.182 \| good
2026-03-13T18:00:00.000Z	33 \| good	5.909 \| good	26.03 \| good	33.76 \| good	1.754 \| good	8.259 \| good	0.183 \| good
2026-03-13T19:00:00.000Z	38 \| good	7.371 \| good	32.619 \| good	35.684 \| good	1.65 \| good	8.203 \| good	0.181 \| good
2026-03-13T20:00:00.000Z	34 \| good	6.329 \| good	28.053 \| good	37.221 \| good	1.546 \| good	8.146 \| good	0.179 \| good
2026-03-13T21:00:00.000Z	38 \| good	6.213 \| good	27.678 \| good	40.792 \| good	1.443 \| good	8.089 \| good	0.177 \| good
2026-03-13T22:00:00.000Z	35 \| good	4.188 \| good	18.545 \| good	38.006 \| good	1.238 \| good	7.593 \| good	0.174 \| good
2026-03-13T23:00:00.000Z	35 \| good	3.855 \| good	16.988 \| good	38.185 \| good	1.034 \| good	7.098 \| good	0.172 \| good
2026-03-14T00:00:00.000Z	33 \| good	4.049 \| good	17.508 \| good	36.236 \| good	0.829 \| good	6.603 \| good	0.169 \| good
2026-03-14T01:00:00.000Z	32 \| good	4.508 \| good	19.689 \| good	35.227 \| good	0.858 \| good	6.5 \| good	0.163 \| good
2026-03-14T02:00:00.000Z	30 \| good	5.267 \| good	22.649 \| good	32.08 \| good	0.888 \| good	6.397 \| good	0.157 \| good
2026-03-14T03:00:00.000Z	33 \| good	4.042 \| good	17.525 \| good	35.921 \| good	0.918 \| good	6.294 \| good	0.15 \| good
2026-03-14T04:00:00.000Z	36 \| good	4.238 \| good	18.836 \| good	39.149 \| good	1.11 \| good	6.376 \| good	0.154 \| good
2026-03-14T05:00:00.000Z	38 \| good	5.286 \| good	22.676 \| good	40.792 \| good	1.302 \| good	6.457 \| good	0.157 \| good
2026-03-14T06:00:00.000Z	27 \| good	5.214 \| good	22.366 \| good	28.007 \| good	1.494 \| good	6.539 \| good	0.16 \| good
2026-03-14T07:00:00.000Z	27 \| good	5.489 \| good	23.64 \| good	29.465 \| good	1.749 \| good	7.006 \| good	0.164 \| good
2026-03-14T08:00:00.000Z	33 \| good	5.834 \| good	25.737 \| good	33.785 \| good	2.005 \| good	7.473 \| good	0.168 \| good
2026-03-14T09:00:00.000Z	38 \| good	6.686 \| good	29.781 \| good	33.621 \| good	2.26 \| good	7.94 \| good	0.172 \| good
2026-03-14T10:00:00.000Z	38 \| good	6.803 \| good	30.485 \| good	28.934 \| good	2.188 \| good	7.307 \| good	0.17 \| good
2026-03-14T11:00:00.000Z	28 \| good	1.809 \| good	7.368 \| good	29.96 \| good	2.116 \| good	6.674 \| good	0.169 \| good
2026-03-14T12:00:00.000Z	27 \| good	4.85 \| good	20.875 \| good	29.493 \| good	2.043 \| good	6.042 \| good	0.167 \| good
2026-03-14T13:00:00.000Z	29 \| good	4.779 \| good	21.022 \| good	30.9 \| good	1.665 \| good	4.765 \| good	0.168 \| good
2026-03-14T14:00:00.000Z	31 \| good	2.911 \| good	11.881 \| good	34.11 \| good	1.286 \| good	3.489 \| good	0.169 \| good
2026-03-14T15:00:00.000Z	32 \| good	2.284 \| good	9.15 \| good	34.585 \| good	0.908 \| good	2.213 \| good	0.171 \| good
2026-03-14T16:00:00.000Z	32 \| good	2.402 \| good	10 \| good	34.898 \| good	0.835 \| good	1.905 \| good	0.17 \| good
2026-03-14T17:00:00.000Z	34 \| good	3.195 \| good	14.125 \| good	36.621 \| good	0.763 \| good	1.597 \| good	0.17 \| good
2026-03-14T18:00:00.000Z	37 \| good	3.128 \| good	13.155 \| good	39.562 \| good	0.69 \| good	1.289 \| good	0.169 \| good
2026-03-14T19:00:00.000Z	38 \| good	2.688 \| good	10.899 \| good	40.865 \| good	0.641 \| good	1.421 \| good	0.169 \| good
2026-03-14T20:00:00.000Z	38 \| good	2.294 \| good	9.322 \| good	40.933 \| good	0.592 \| good	1.552 \| good	0.169 \| good
2026-03-14T21:00:00.000Z	38 \| good	1.537 \| good	6.317 \| good	41.155 \| good	0.542 \| good	1.683 \| good	0.169 \| good
2026-03-14T22:00:00.000Z	38 \| good	3.772 \| good	16.185 \| good	41.472 \| good	0.558 \| good	2.626 \| good	0.173 \| good
2026-03-14T23:00:00.000Z	37 \| good	4.195 \| good	18.554 \| good	40.319 \| good	0.573 \| good	3.568 \| good	0.176 \| good
2026-03-15T00:00:00.000Z	36 \| good	3.772 \| good	16.244 \| good	38.673 \| good	0.589 \| good	4.511 \| good	0.18 \| good
2026-03-15T01:00:00.000Z	33 \| good	5.556 \| good	24.004 \| good	34.031 \| good	0.573 \| good	4.461 \| good	0.177 \| good
2026-03-15T02:00:00.000Z	28 \| good	2.771 \| good	11.456 \| good	30.291 \| good	0.558 \| good	4.412 \| good	0.173 \| good
2026-03-15T03:00:00.000Z	26 \| good	2.314 \| good	9.659 \| good	27.991 \| good	0.543 \| good	4.363 \| good	0.169 \| good
2026-03-15T04:00:00.000Z	24 \| good	3.027 \| good	13.115 \| good	26.417 \| good	0.538 \| good	3.943 \| good	0.167 \| good
2026-03-15T05:00:00.000Z	22 \| good	3.765 \| good	16.314 \| good	22.234 \| good	0.534 \| good	3.522 \| good	0.165 \| good
2026-03-15T06:00:00.000Z	22 \| good	4.27 \| good	18.654 \| good	20.197 \| good	0.53 \| good	3.102 \| good	0.163 \| good
2026-03-15T07:00:00.000Z	27 \| good	4.847 \| good	20.881 \| good	16.328 \| good	0.583 \| good	3.362 \| good	0.163 \| good
2026-03-15T08:00:00.000Z	27 \| good	5.349 \| good	23.333 \| good	15.91 \| good	0.637 \| good	3.623 \| good	0.164 \| good
2026-03-15T09:00:00.000Z	33 \| good	6.194 \| good	27.018 \| good	18.121 \| good	0.69 \| good	3.883 \| good	0.165 \| good
2026-03-15T10:00:00.000Z	22 \| good	3.302 \| good	13.903 \| good	23.889 \| good	0.791 \| good	5.692 \| good	0.176 \| good
2026-03-15T11:00:00.000Z	23 \| good	2.185 \| good	8.872 \| good	24.847 \| good	0.893 \| good	7.501 \| good	0.187 \| good
2026-03-15T12:00:00.000Z	44 \| good	7.665 \| good	8.392 \| good	31.952 \| good	0.992 \| good	9.32 \| good	0.198 \| good
2026-03-15T13:00:00.000Z	33 \| good	6.159 \| good	7.142 \| good	34.424 \| good	0.996 \| good	8.053 \| good	0.193 \| good

Mount Kisco

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Mount Kisco, New York air quality map: Track AQI near you

0.26ppm

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 Mount Kisco, New York updated?

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

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

The worst air quality in Mount Kisco, New York in the last 24 hours was observed at 01:00:00 on 2026-03-12.

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

In the last 24 hrs, the best air quality in Mount Kisco, New York was observed at 03:00:00 on 2026-03-13.

What is the current air quality in Mount Kisco, New York?

The current air quality in Mount Kisco, New York is 29, categorized as Good based on real-time data.

What pollutant is the most common in Mount Kisco, New York?

The most common pollutant in Mount Kisco, New York is O3.

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

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

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

The current PM_2.5 concentration at Mount Kisco, New York is 2.063 μg/m³.

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

The current PM₁₀ concentration at Mount Kisco, New York is 11.815 μg/m³.

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

The current carbon monoxide (CO) concentration at Mount Kisco, New York is 0.337 ppm.

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

The current sulfur dioxide (SO₂) concentration at Mount Kisco, New York is 0.526 ppb.

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

The current ozone (O₃) concentration at Mount Kisco, New York is 30.546 ppm.

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

The current nitrogen dioxide (NO₂) concentration at Mount Kisco, New York is 12.381 ppb.

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