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

The current PM10 concentration at Mount Kisco, New York is 40.835 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 0.584 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 31.098 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 11.752 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 8.564 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)

8.56 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

40.84 μg/m³

155

255

425

605+

Ozone (O₃)

31.10 ppb

201

201+

Sulfur Dioxide (SO₂)

0.58 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

11.75 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.29 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

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

Please contact us for custom requests

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
2026-03-08T23:00:00.000Z	44 \| good	7.913 \| good	36.301 \| good	33.819 \| good	0.305 \| good	13.067 \| good	0.246 \| good
2026-03-09T00:00:00.000Z	33 \| good	5.898 \| good	25.734 \| good	33.252 \| good	0.416 \| good	17.131 \| good	0.268 \| good
2026-03-09T01:00:00.000Z	31 \| good	5.096 \| good	21.43 \| good	34.085 \| good	0.507 \| good	19.735 \| good	0.246 \| good
2026-03-09T02:00:00.000Z	27 \| good	5.152 \| good	20.563 \| good	27.564 \| good	0.533 \| good	16.274 \| good	0.289 \| good
2026-03-09T03:00:00.000Z	33 \| good	4.047 \| good	17.745 \| good	36.431 \| good	2.201 \| good	17.746 \| good	0.256 \| good
2026-03-09T04:00:00.000Z	33 \| good	5.518 \| good	26.147 \| good	25.467 \| good	0.868 \| good	18.91 \| good	0.223 \| good
2026-03-09T05:00:00.000Z	38 \| good	6.781 \| good	33.276 \| good	28.137 \| good	0.757 \| good	21.054 \| good	0.301 \| good
2026-03-09T06:00:00.000Z	33 \| good	6.095 \| good	28.594 \| good	14.167 \| good	0.755 \| good	15.238 \| good	0.209 \| good
2026-03-09T07:00:00.000Z	33 \| good	6.498 \| good	29.629 \| good	20.743 \| good	1.003 \| good	15.441 \| good	0.278 \| good
2026-03-09T08:00:00.000Z	25 \| good	4.33 \| good	15.039 \| good	27.234 \| good	0.81 \| good	19.653 \| good	0.238 \| good
2026-03-09T09:00:00.000Z	20 \| good	3.155 \| good	12.279 \| good	13.956 \| good	0.545 \| good	21.083 \| good	0.223 \| good
2026-03-09T10:00:00.000Z	22 \| good	3.778 \| good	18.27 \| good	13.235 \| good	1.019 \| good	23.428 \| good	0.267 \| good
2026-03-09T11:00:00.000Z	27 \| good	4.971 \| good	20.74 \| good	15.126 \| good	0.75 \| good	28.841 \| good	0.504 \| good
2026-03-09T12:00:00.000Z	27 \| good	5.074 \| good	19.823 \| good	14.638 \| good	1.087 \| good	28.134 \| good	0.611 \| good
2026-03-09T13:00:00.000Z	27 \| good	5.191 \| good	15.201 \| good	11.409 \| good	1.449 \| good	26.697 \| good	0.622 \| good
2026-03-09T14:00:00.000Z	49 \| good	9.135 \| good	28.438 \| good	4.991 \| good	1.552 \| good	31.029 \| good	0.539 \| good
2026-03-09T15:00:00.000Z	27 \| good	5.144 \| good	26.516 \| good	9.759 \| good	1.242 \| good	28.076 \| good	0.421 \| good
2026-03-09T16:00:00.000Z	27 \| good	4.646 \| good	27.419 \| good	9.525 \| good	1.092 \| good	22.372 \| good	0.359 \| good
2026-03-09T17:00:00.000Z	24 \| good	4.083 \| good	15.628 \| good	26.082 \| good	1.135 \| good	25.445 \| good	0.254 \| good
2026-03-09T18:00:00.000Z	31 \| good	4.411 \| good	11.519 \| good	32.873 \| good	0.97 \| good	22.268 \| good	0.26 \| good
2026-03-09T19:00:00.000Z	37 \| good	4.154 \| good	15.699 \| good	40.085 \| good	0.7 \| good	18.281 \| good	0.237 \| good
2026-03-09T20:00:00.000Z	40 \| good	3.604 \| good	17.72 \| good	42.972 \| good	0.786 \| good	9.909 \| good	0.253 \| good
2026-03-09T21:00:00.000Z	41 \| good	5.266 \| good	23.252 \| good	43.506 \| good	0.599 \| good	12.058 \| good	0.271 \| good
2026-03-09T22:00:00.000Z	42 \| good	4.223 \| good	14.752 \| good	45.315 \| good	0.545 \| good	16.239 \| good	0.278 \| good
2026-03-09T23:00:00.000Z	41 \| good	5.176 \| good	18.393 \| good	43.626 \| good	0.463 \| good	23.935 \| good	0.31 \| good
2026-03-10T00:00:00.000Z	38 \| good	5.927 \| good	21.588 \| good	40.552 \| good	0.397 \| good	19.351 \| good	0.353 \| good
2026-03-10T01:00:00.000Z	33 \| good	5.322 \| good	18.7 \| good	33.368 \| good	0.49 \| good	34.612 \| good	0.346 \| good
2026-03-10T02:00:00.000Z	44 \| good	7.671 \| good	24.767 \| good	31.541 \| good	0.569 \| good	25.682 \| good	0.278 \| good
2026-03-10T03:00:00.000Z	56 \| moderate	12.268 \| fine	54.634 \| good	10.651 \| good	4.034 \| good	33.623 \| good	0.324 \| good
2026-03-10T04:00:00.000Z	56 \| moderate	11.606 \| good	52.343 \| good	14.144 \| good	0.588 \| good	29.001 \| good	0.308 \| good
2026-03-10T05:00:00.000Z	54 \| moderate	10.932 \| good	43.226 \| good	13.466 \| good	0.673 \| good	18.231 \| good	0.282 \| good
2026-03-10T06:00:00.000Z	49 \| good	9.33 \| good	40.154 \| good	12.023 \| good	0.275 \| good	20.711 \| good	0.23 \| good
2026-03-10T07:00:00.000Z	54 \| moderate	11.108 \| good	46.941 \| good	9.452 \| good	0.287 \| good	21.084 \| good	0.23 \| good
2026-03-10T08:00:00.000Z	44 \| good	8.026 \| good	35.796 \| good	8.793 \| good	0.455 \| good	21.073 \| good	0.214 \| good
2026-03-10T09:00:00.000Z	44 \| good	7.547 \| good	23.774 \| good	11.317 \| good	0.431 \| good	18.415 \| good	0.224 \| good
2026-03-10T10:00:00.000Z	38 \| good	7.085 \| good	31.027 \| good	6.18 \| good	0.522 \| good	23.925 \| good	0.223 \| good
2026-03-10T11:00:00.000Z	44 \| good	8.26 \| good	30.902 \| good	14.46 \| good	0.673 \| good	32.41 \| good	0.321 \| good
2026-03-10T12:00:00.000Z	38 \| good	6.947 \| good	31.332 \| good	10.889 \| good	0.879 \| good	31.402 \| good	0.451 \| good
2026-03-10T13:00:00.000Z	44 \| good	8.26 \| good	26.631 \| good	5.46 \| good	0.891 \| good	32.286 \| good	0.485 \| good
2026-03-10T14:00:00.000Z	56 \| moderate	12.35 \| fine	25.418 \| good	6.329 \| good	1.069 \| good	36.875 \| good	0.481 \| good
2026-03-10T15:00:00.000Z	56 \| moderate	12.166 \| fine	52.89 \| good	18.033 \| good	1.048 \| good	33.462 \| good	0.41 \| good
2026-03-10T16:00:00.000Z	62 \| moderate	15.203 \| fine	72.023 \| fine	14.97 \| good	1.102 \| good	24.607 \| good	0.429 \| good
2026-03-10T17:00:00.000Z	56 \| moderate	12.132 \| fine	29.936 \| good	24.132 \| good	1.061 \| good	23.599 \| good	0.382 \| good
2026-03-10T18:00:00.000Z	44 \| good	7.608 \| good	27.637 \| good	27.106 \| good	0.773 \| good	17.396 \| good	0.343 \| good
2026-03-10T19:00:00.000Z	33 \| good	5.912 \| good	23.233 \| good	34.176 \| good	0.765 \| good	14.218 \| good	0.36 \| good
2026-03-10T20:00:00.000Z	44 \| good	7.944 \| good	30.447 \| good	31.871 \| good	0.744 \| good	10.812 \| good	0.316 \| good
2026-03-10T21:00:00.000Z	49 \| good	8.564 \| good	40.835 \| good	31.098 \| good	0.584 \| good	11.752 \| good	0.291 \| good
2026-03-10T22:00:00.000Z	49 \| good	8.564 \| good	40.835 \| good	31.098 \| good	0.584 \| good	11.752 \| good	0.291 \| good
2026-03-10T23:00:00.000Z	40 \| good	5.123 \| good	22.067 \| good	42.62 \| good	3.672 \| good	27.409 \| good	0.326 \| good
2026-03-11T00:00:00.000Z	33 \| good	5.85 \| good	25.153 \| good	32.191 \| good	3.905 \| good	34.91 \| good	0.374 \| good
2026-03-11T01:00:00.000Z	44 \| good	7.962 \| good	35.141 \| good	21.265 \| good	4.011 \| good	36.3 \| good	0.379 \| good
2026-03-11T02:00:00.000Z	36 \| good	4.43 \| good	19.131 \| good	20.022 \| good	4.117 \| good	37.69 \| good	0.384 \| good
2026-03-11T03:00:00.000Z	38 \| good	7.095 \| good	31.328 \| good	10.545 \| good	4.224 \| good	39.081 \| good	0.389 \| good
2026-03-11T04:00:00.000Z	49 \| good	9.4 \| good	41.63 \| good	5.795 \| good	3.985 \| good	38.36 \| good	0.368 \| good
2026-03-11T05:00:00.000Z	56 \| moderate	11.809 \| good	52.788 \| good	1.957 \| good	3.746 \| good	37.639 \| good	0.348 \| good
2026-03-11T06:00:00.000Z	52 \| moderate	10.404 \| good	46.414 \| good	0.36 \| good	3.507 \| good	36.919 \| good	0.328 \| good
2026-03-11T07:00:00.000Z	54 \| moderate	11.451 \| good	50.71 \| good	0.384 \| good	3.304 \| good	35.323 \| good	0.316 \| good
2026-03-11T08:00:00.000Z	52 \| moderate	10.404 \| good	46.343 \| good	1.354 \| good	3.101 \| good	33.727 \| good	0.304 \| good
2026-03-11T09:00:00.000Z	44 \| good	8.035 \| good	35.285 \| good	5.005 \| good	2.897 \| good	32.132 \| good	0.291 \| good
2026-03-11T10:00:00.000Z	27 \| good	5.287 \| good	22.988 \| good	14.751 \| good	2.762 \| good	29.431 \| good	0.291 \| good
2026-03-11T11:00:00.000Z	27 \| good	4.869 \| good	21.294 \| good	20.066 \| good	2.626 \| good	26.731 \| good	0.29 \| good
2026-03-11T12:00:00.000Z	27 \| good	5.421 \| good	23.249 \| good	24.594 \| good	2.491 \| good	24.031 \| good	0.289 \| good
2026-03-11T13:00:00.000Z	33 \| good	6.158 \| good	27.656 \| good	24.944 \| good	2.382 \| good	20.783 \| good	0.271 \| good
2026-03-11T14:00:00.000Z	44 \| good	7.934 \| good	35.056 \| good	24.036 \| good	2.274 \| good	17.534 \| good	0.252 \| good
2026-03-11T15:00:00.000Z	33 \| good	5.693 \| good	24.704 \| good	29.298 \| good	2.166 \| good	14.286 \| good	0.234 \| good
2026-03-11T16:00:00.000Z	38 \| good	7.092 \| good	31.39 \| good	34.878 \| good	2.011 \| good	12.678 \| good	0.219 \| good
2026-03-11T17:00:00.000Z	40 \| good	5.846 \| good	25.303 \| good	42.75 \| good	1.857 \| good	11.07 \| good	0.203 \| good
2026-03-11T18:00:00.000Z	42 \| good	3.653 \| good	16.111 \| good	45.257 \| good	1.702 \| good	9.462 \| good	0.188 \| good
2026-03-11T19:00:00.000Z	43 \| good	4.561 \| good	19.635 \| good	46.3 \| good	1.508 \| good	10.411 \| good	0.19 \| good
2026-03-11T20:00:00.000Z	46 \| good	3.23 \| good	13.852 \| good	50.46 \| good	1.314 \| good	11.359 \| good	0.193 \| good
2026-03-11T21:00:00.000Z	43 \| good	2.557 \| good	10.713 \| good	45.813 \| good	1.12 \| good	12.307 \| good	0.196 \| good
2026-03-11T22:00:00.000Z	35 \| good	3.91 \| good	17.023 \| good	37.694 \| good	1.185 \| good	14.374 \| good	0.204 \| good
2026-03-11T23:00:00.000Z	33 \| good	6.25 \| good	27.704 \| good	25.732 \| good	1.249 \| good	16.441 \| good	0.213 \| good
2026-03-12T00:00:00.000Z	33 \| good	5.584 \| good	24.325 \| good	24.393 \| good	1.314 \| good	18.507 \| good	0.221 \| good
2026-03-12T01:00:00.000Z	26 \| good	3.697 \| good	16.082 \| good	28.028 \| good	1.422 \| good	17.829 \| good	0.217 \| good
2026-03-12T02:00:00.000Z	44 \| good	7.798 \| good	34.065 \| good	23.825 \| good	1.53 \| good	17.151 \| good	0.213 \| good
2026-03-12T03:00:00.000Z	38 \| good	7.112 \| good	31.48 \| good	23.046 \| good	1.638 \| good	16.472 \| good	0.209 \| good
2026-03-12T04:00:00.000Z	38 \| good	7.264 \| good	31.734 \| good	22.339 \| good	1.689 \| good	13.457 \| good	0.19 \| good
2026-03-12T05:00:00.000Z	38 \| good	6.658 \| good	29.329 \| good	23.871 \| good	1.74 \| good	10.442 \| good	0.171 \| good
2026-03-12T06:00:00.000Z	60 \| moderate	14.332 \| fine	14.489 \| good	33.827 \| good	1.785 \| good	7.49 \| good	0.153 \| good
2026-03-12T07:00:00.000Z	28 \| good	2.107 \| good	8.62 \| good	29.589 \| good	1.865 \| good	6.915 \| good	0.144 \| good
2026-03-12T08:00:00.000Z	29 \| good	2.684 \| good	11.11 \| good	30.958 \| good	1.94 \| good	6.402 \| good	0.135 \| good
2026-03-12T09:00:00.000Z	30 \| good	4.506 \| good	19.632 \| good	32.231 \| good	2.015 \| good	5.889 \| good	0.126 \| good
2026-03-12T10:00:00.000Z	31 \| good	3.463 \| good	15.012 \| good	32.951 \| good	2.045 \| good	6.771 \| good	0.128 \| good
2026-03-12T11:00:00.000Z	34 \| good	2.781 \| good	11.502 \| good	37.207 \| good	2.075 \| good	7.653 \| good	0.131 \| good
2026-03-12T12:00:00.000Z	38 \| good	7.121 \| good	7.231 \| good	26.663 \| good	2.118 \| good	8.607 \| good	0.133 \| good
2026-03-12T13:00:00.000Z	33 \| good	6.414 \| good	6.497 \| good	28.446 \| good	1.615 \| good	6.99 \| good	0.144 \| good
2026-03-12T14:00:00.000Z	28 \| good	3.651 \| good	3.704 \| good	30.23 \| good	1.113 \| good	5.372 \| good	0.155 \| good
2026-03-12T15:00:00.000Z	30 \| good	1.563 \| good	1.6 \| good	32.013 \| good	0.61 \| good	3.754 \| good	0.166 \| good
2026-03-12T16:00:00.000Z	33 \| good	0.359 \| good	1.15 \| good	35.963 \| good	0.567 \| good	3.291 \| good	0.166 \| good
2026-03-12T17:00:00.000Z	34 \| good	0.403 \| good	1.615 \| good	37.142 \| good	0.523 \| good	2.819 \| good	0.165 \| good
2026-03-12T18:00:00.000Z	36 \| good	1.17 \| good	1.201 \| good	38.781 \| good	0.479 \| good	2.347 \| good	0.165 \| good
2026-03-12T19:00:00.000Z	38 \| good	1.204 \| good	1.223 \| good	40.726 \| good	0.469 \| good	2.391 \| good	0.161 \| good
2026-03-12T20:00:00.000Z	40 \| good	1.27 \| good	1.318 \| good	42.671 \| good	0.458 \| good	2.435 \| good	0.157 \| good
2026-03-12T21:00:00.000Z	42 \| good	1.444 \| good	1.55 \| good	44.616 \| good	0.447 \| good	2.479 \| good	0.152 \| good
2026-03-12T22:00:00.000Z	42 \| good	1.819 \| good	2.002 \| good	44.601 \| good	0.488 \| good	3.098 \| good	0.151 \| good

Mount Kisco

Get reliable air quality data to drive your business

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

0.30ppm

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

Air quality levels in US

Check live rankings of places in the USA affected by air pollution.

View Polluted Cities

Check live rankings of places in the USA with the cleanest air.

View Clean Cities

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 04:00:00 on 2026-03-10.

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 07:00:00 on 2026-03-10.

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

The current air quality in Mount Kisco, New York is 49, 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 PM2.5.

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 8.564 μg/m³.

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

The current PM₁₀ concentration at Mount Kisco, New York is 40.835 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 0.291 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 0.584 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 31.098 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 11.752 ppb.

Certified

APIs

Refund Policy

Historical Climate Data

Terms & Conditions