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

The current PM10 concentration at Mount Kisco, New York is 9.683 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 0.41 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 19.87 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 10.136 ppb.

Mount Kisco, New York live air quality index now

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

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)

2.03 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

11.73 μg/m³

155

255

425

605+

Ozone (O₃)

22.19 ppb

201

201+

Sulfur Dioxide (SO₂)

0.87 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

8.32 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.25 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

Mount Kisco, New York

Get Live Pollen Counts

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
2025-10-19T18:00:00.000Z	35 \| good	4.945 \| good	19.377 \| good	37.646 \| good	0.277 \| good	3.99 \| good	0.257 \| good
2025-10-19T19:00:00.000Z	37 \| good	5.711 \| good	23.733 \| good	39.777 \| good	0.317 \| good	4.445 \| good	0.21 \| good
2025-10-19T20:00:00.000Z	39 \| good	5.73 \| good	25.916 \| good	41.976 \| good	0.198 \| good	3.403 \| good	0.221 \| good
2025-10-19T21:00:00.000Z	42 \| good	6.398 \| good	27.699 \| good	44.664 \| good	0.215 \| good	4.59 \| good	0.221 \| good
2025-10-19T22:00:00.000Z	40 \| good	5.771 \| good	23.387 \| good	43.137 \| good	0.315 \| good	4.581 \| good	0.221 \| good
2025-10-19T23:00:00.000Z	42 \| good	6.383 \| good	24.693 \| good	45.294 \| good	0.247 \| good	4.512 \| good	0.239 \| good
2025-10-20T00:00:00.000Z	44 \| good	8.149 \| good	31.528 \| good	44.577 \| good	0.232 \| good	6.253 \| good	0.239 \| good
2025-10-20T01:00:00.000Z	42 \| good	6.784 \| good	28.814 \| good	44.939 \| good	0.201 \| good	6.22 \| good	0.228 \| good
2025-10-20T02:00:00.000Z	39 \| good	7.06 \| good	25.076 \| good	41.94 \| good	0.192 \| good	6.128 \| good	0.21 \| good
2025-10-20T03:00:00.000Z	41 \| good	6.782 \| good	28.877 \| good	43.92 \| good	0.183 \| good	5.655 \| good	0.187 \| good
2025-10-20T04:00:00.000Z	40 \| good	5.676 \| good	24.295 \| good	43.056 \| good	0.168 \| good	4.428 \| good	0.187 \| good
2025-10-20T05:00:00.000Z	39 \| good	6.169 \| good	24.917 \| good	42.347 \| good	0.241 \| good	4.622 \| good	0.187 \| good
2025-10-20T06:00:00.000Z	40 \| good	4.015 \| good	16.021 \| good	42.574 \| good	0.248 \| good	3.417 \| good	0.173 \| good
2025-10-20T07:00:00.000Z	38 \| good	4.509 \| good	24.66 \| good	41.224 \| good	0.218 \| good	3.39 \| good	0.176 \| good
2025-10-20T08:00:00.000Z	35 \| good	4.855 \| good	23.416 \| good	38.279 \| good	0.292 \| good	3.411 \| good	0.151 \| good
2025-10-20T09:00:00.000Z	36 \| good	4.141 \| good	11.463 \| good	39.359 \| good	0.296 \| good	2.974 \| good	0.151 \| good
2025-10-20T10:00:00.000Z	33 \| good	4.359 \| good	12.528 \| good	35.99 \| good	0.239 \| good	3.558 \| good	0.158 \| good
2025-10-20T11:00:00.000Z	32 \| good	4.748 \| good	15.36 \| good	34.695 \| good	0.318 \| good	12.088 \| good	0.212 \| good
2025-10-20T12:00:00.000Z	30 \| good	2.043 \| good	5.132 \| good	32.354 \| good	0.329 \| good	11.061 \| good	0.21 \| good
2025-10-20T13:00:00.000Z	31 \| good	3.274 \| good	15.93 \| good	33.259 \| good	0.368 \| good	9.562 \| good	0.21 \| good
2025-10-20T14:00:00.000Z	28 \| good	2.406 \| good	7.33 \| good	30.155 \| good	0.264 \| good	7.328 \| good	0.232 \| good
2025-10-20T15:00:00.000Z	26 \| good	1.996 \| good	6.524 \| good	28.199 \| good	0.204 \| good	9.792 \| good	0.21 \| good
2025-10-20T16:00:00.000Z	27 \| good	2.209 \| good	10.721 \| good	28.705 \| good	0.846 \| good	8.704 \| good	0.176 \| good
2025-10-20T17:00:00.000Z	24 \| good	2.6 \| good	11.847 \| good	26.114 \| good	0.572 \| good	8.521 \| good	0.176 \| good
2025-10-20T18:00:00.000Z	24 \| good	0.756 \| good	2.82 \| good	26.409 \| good	1.04 \| good	8.303 \| good	0.176 \| good
2025-10-20T19:00:00.000Z	24 \| good	1.611 \| good	7.295 \| good	25.986 \| good	0.163 \| good	5.766 \| good	0.154 \| good
2025-10-20T20:00:00.000Z	21 \| good	1.251 \| good	7.894 \| good	23.211 \| good	0.322 \| good	4.374 \| good	0.137 \| good
2025-10-20T21:00:00.000Z	23 \| good	0.98 \| good	7.998 \| good	24.802 \| good	0.255 \| good	2.9 \| good	0.173 \| good
2025-10-20T22:00:00.000Z	23 \| good	1.062 \| good	4.559 \| good	25.232 \| good	0.48 \| good	4.125 \| good	0.137 \| good
2025-10-20T23:00:00.000Z	23 \| good	2.14 \| good	9.55 \| good	24.699 \| good	0.251 \| good	2.564 \| good	0.114 \| good
2025-10-21T00:00:00.000Z	23 \| good	2.209 \| good	8.603 \| good	25.161 \| good	0.251 \| good	2.798 \| good	0.154 \| good
2025-10-21T01:00:00.000Z	21 \| good	2.897 \| good	13.188 \| good	22.788 \| good	0.272 \| good	3.515 \| good	0.154 \| good
2025-10-21T02:00:00.000Z	22 \| good	2.637 \| good	9.573 \| good	24.279 \| good	0.271 \| good	4.135 \| good	0.154 \| good
2025-10-21T03:00:00.000Z	25 \| good	3.552 \| good	16.066 \| good	26.748 \| good	0.754 \| good	5.927 \| good	0.135 \| good
2025-10-21T04:00:00.000Z	18 \| good	2.602 \| good	12.635 \| good	19.388 \| good	0.254 \| good	5.252 \| good	0.131 \| good
2025-10-21T05:00:00.000Z	21 \| good	2.751 \| good	10.047 \| good	22.811 \| good	0.254 \| good	6.278 \| good	0.131 \| good
2025-10-21T06:00:00.000Z	19 \| good	2.636 \| good	11.544 \| good	21.159 \| good	0.255 \| good	8.251 \| good	0.114 \| good
2025-10-21T07:00:00.000Z	19 \| good	3.066 \| good	7.944 \| good	21.483 \| good	0.233 \| good	5.247 \| good	0.1 \| good
2025-10-21T08:00:00.000Z	20 \| good	2.52 \| good	9.005 \| good	21.639 \| good	0.163 \| good	5.805 \| good	0.116 \| good
2025-10-21T09:00:00.000Z	23 \| good	2.736 \| good	7.67 \| good	24.739 \| good	0.255 \| good	4.496 \| good	0.117 \| good
2025-10-21T10:00:00.000Z	19 \| good	2.971 \| good	8.856 \| good	21.403 \| good	0.47 \| good	9.353 \| good	0.151 \| good
2025-10-21T11:00:00.000Z	19 \| good	2.544 \| good	9.683 \| good	19.87 \| good	0.41 \| good	10.136 \| good	0.178 \| good
2025-10-21T12:00:00.000Z	27 \| good	4.905 \| good	14.62 \| good	15.713 \| good	0.347 \| good	11.405 \| good	0.244 \| good
2025-10-21T13:00:00.000Z	16 \| good	3.422 \| good	8.065 \| good	14.877 \| good	0.448 \| good	12.205 \| good	0.316 \| good
2025-10-21T14:00:00.000Z	17 \| good	2.567 \| good	10.276 \| good	17.672 \| good	0.627 \| good	11.409 \| good	0.358 \| good
2025-10-21T15:00:00.000Z	17 \| good	2.654 \| good	10.974 \| good	18.246 \| good	0.533 \| good	7.097 \| good	0.251 \| good
2025-10-21T16:00:00.000Z	20 \| good	2.027 \| good	11.734 \| good	22.186 \| good	0.869 \| good	8.324 \| good	0.251 \| good
2025-10-21T17:00:00.000Z	20 \| good	2.699 \| good	10.187 \| good	22.066 \| good	1.164 \| good	10.837 \| good	0.194 \| good
2025-10-21T17:00:00.000Z	20 \| good	2.027 \| good	11.734 \| good	22.186 \| good	0.869 \| good	8.324 \| good	0.251 \| good
2025-10-21T13:00:00.000Z	22 \| good	4.103 \| good	17.745 \| good	23.984 \| good	1.331 \| good	7.186 \| good	0.155 \| good
2025-10-21T14:00:00.000Z	28 \| good	3.016 \| good	13.04 \| good	29.77 \| good	1.565 \| good	6.39 \| good	0.152 \| good
2025-10-21T15:00:00.000Z	31 \| good	3.071 \| good	12.749 \| good	33.414 \| good	1.8 \| good	5.594 \| good	0.15 \| good
2025-10-21T16:00:00.000Z	34 \| good	4.034 \| good	17.789 \| good	36.769 \| good	2.539 \| good	5.741 \| good	0.149 \| good
2025-10-21T17:00:00.000Z	36 \| good	5.114 \| good	21.922 \| good	38.745 \| good	3.278 \| good	5.887 \| good	0.149 \| good
2025-10-21T18:00:00.000Z	36 \| good	5.643 \| good	24.166 \| good	39.31 \| good	4.018 \| good	6.033 \| good	0.148 \| good
2025-10-21T19:00:00.000Z	38 \| good	7.466 \| good	32.707 \| good	39.095 \| good	3.778 \| good	6.753 \| good	0.151 \| good
2025-10-21T20:00:00.000Z	38 \| good	6.94 \| good	30.615 \| good	41.344 \| good	3.538 \| good	7.473 \| good	0.155 \| good
2025-10-21T21:00:00.000Z	38 \| good	7.283 \| good	32.339 \| good	40.203 \| good	3.298 \| good	8.192 \| good	0.158 \| good
2025-10-21T22:00:00.000Z	38 \| good	6.773 \| good	29.998 \| good	36.643 \| good	2.997 \| good	9.762 \| good	0.169 \| good
2025-10-21T23:00:00.000Z	38 \| good	6.882 \| good	30.449 \| good	32.73 \| good	2.696 \| good	11.332 \| good	0.181 \| good
2025-10-22T00:00:00.000Z	44 \| good	7.721 \| good	33.733 \| good	32.838 \| good	2.395 \| good	12.901 \| good	0.193 \| good
2025-10-22T01:00:00.000Z	44 \| good	8.16 \| good	35.562 \| good	29.473 \| good	2.196 \| good	11.607 \| good	0.183 \| good
2025-10-22T02:00:00.000Z	49 \| good	8.866 \| good	39.027 \| good	28.713 \| good	1.996 \| good	10.313 \| good	0.174 \| good
2025-10-22T03:00:00.000Z	44 \| good	7.667 \| good	33.992 \| good	32.645 \| good	1.797 \| good	9.019 \| good	0.165 \| good
2025-10-22T04:00:00.000Z	38 \| good	6.589 \| good	29.667 \| good	34.632 \| good	1.744 \| good	8.569 \| good	0.161 \| good
2025-10-22T05:00:00.000Z	33 \| good	5.826 \| good	25.175 \| good	35.207 \| good	1.691 \| good	8.12 \| good	0.158 \| good
2025-10-22T06:00:00.000Z	32 \| good	5.21 \| good	22.484 \| good	35.157 \| good	1.638 \| good	7.67 \| good	0.154 \| good
2025-10-22T07:00:00.000Z	31 \| good	5.27 \| good	22.538 \| good	33.794 \| good	1.685 \| good	7.713 \| good	0.153 \| good
2025-10-22T08:00:00.000Z	33 \| good	5.85 \| good	25.547 \| good	30.697 \| good	1.731 \| good	7.756 \| good	0.152 \| good
2025-10-22T09:00:00.000Z	27 \| good	5.411 \| good	23.369 \| good	26.719 \| good	1.778 \| good	7.798 \| good	0.151 \| good
2025-10-22T10:00:00.000Z	28 \| good	4.22 \| good	18.414 \| good	30.463 \| good	1.998 \| good	9.694 \| good	0.162 \| good
2025-10-22T11:00:00.000Z	30 \| good	3.82 \| good	16.39 \| good	32.135 \| good	2.218 \| good	11.59 \| good	0.174 \| good
2025-10-22T12:00:00.000Z	27 \| good	4.756 \| good	20.736 \| good	29.179 \| good	2.438 \| good	13.486 \| good	0.185 \| good
2025-10-22T13:00:00.000Z	38 \| good	7.469 \| good	33.148 \| good	30.118 \| good	2.853 \| good	11.73 \| good	0.186 \| good
2025-10-22T14:00:00.000Z	33 \| good	4.401 \| good	19.439 \| good	35.727 \| good	3.267 \| good	9.974 \| good	0.188 \| good
2025-10-22T15:00:00.000Z	35 \| good	2.617 \| good	10.842 \| good	38.325 \| good	3.682 \| good	8.218 \| good	0.189 \| good
2025-10-22T16:00:00.000Z	37 \| good	2.602 \| good	10.52 \| good	39.989 \| good	3.291 \| good	6.428 \| good	0.172 \| good
2025-10-22T17:00:00.000Z	39 \| good	2.785 \| good	11.585 \| good	42.016 \| good	2.899 \| good	4.638 \| good	0.156 \| good
2025-10-22T18:00:00.000Z	39 \| good	3.069 \| good	13.146 \| good	41.582 \| good	2.508 \| good	2.849 \| good	0.139 \| good
2025-10-22T19:00:00.000Z	37 \| good	3.642 \| good	16.04 \| good	39.64 \| good	2.202 \| good	3.035 \| good	0.138 \| good
2025-10-22T20:00:00.000Z	34 \| good	3.758 \| good	16.121 \| good	37.432 \| good	1.897 \| good	3.222 \| good	0.136 \| good
2025-10-22T21:00:00.000Z	33 \| good	4.616 \| good	19.999 \| good	36.446 \| good	1.591 \| good	3.408 \| good	0.135 \| good
2025-10-22T22:00:00.000Z	31 \| good	4.634 \| good	20.032 \| good	32.893 \| good	1.727 \| good	5.443 \| good	0.146 \| good
2025-10-22T23:00:00.000Z	29 \| good	4.096 \| good	17.927 \| good	31.049 \| good	1.863 \| good	7.478 \| good	0.157 \| good
2025-10-23T00:00:00.000Z	24 \| good	4.202 \| good	18.557 \| good	25.887 \| good	1.999 \| good	9.514 \| good	0.168 \| good
2025-10-23T01:00:00.000Z	22 \| good	3.764 \| good	16.237 \| good	22.878 \| good	2.136 \| good	11.506 \| good	0.178 \| good
2025-10-23T02:00:00.000Z	27 \| good	4.72 \| good	20.622 \| good	19.767 \| good	2.274 \| good	13.498 \| good	0.188 \| good
2025-10-23T03:00:00.000Z	22 \| good	4.06 \| good	17.991 \| good	18.865 \| good	2.412 \| good	15.491 \| good	0.198 \| good
2025-10-23T04:00:00.000Z	27 \| good	4.998 \| good	21.484 \| good	18.12 \| good	2.558 \| good	15.162 \| good	0.195 \| good
2025-10-23T05:00:00.000Z	27 \| good	5.015 \| good	21.966 \| good	18.297 \| good	2.703 \| good	14.833 \| good	0.191 \| good
2025-10-23T06:00:00.000Z	49 \| good	8.77 \| good	8.776 \| good	14.858 \| good	2.861 \| good	14.655 \| good	0.189 \| good
2025-10-23T07:00:00.000Z	27 \| good	4.959 \| good	21.149 \| good	17.948 \| good	2.94 \| good	13.266 \| good	0.182 \| good
2025-10-23T08:00:00.000Z	27 \| good	5.331 \| good	22.856 \| good	17.046 \| good	3.032 \| good	12.027 \| good	0.177 \| good
2025-10-23T09:00:00.000Z	33 \| good	5.565 \| good	24.16 \| good	16.8 \| good	3.123 \| good	10.788 \| good	0.171 \| good
2025-10-23T10:00:00.000Z	27 \| good	4.779 \| good	20.727 \| good	15.893 \| good	3.209 \| good	11.155 \| good	0.178 \| good
2025-10-23T11:00:00.000Z	27 \| good	5.119 \| good	21.994 \| good	15.97 \| good	3.296 \| good	11.522 \| good	0.185 \| good
2025-10-23T12:00:00.000Z	49 \| good	8.504 \| good	8.509 \| good	13.86 \| good	3.392 \| good	11.975 \| good	0.192 \| good

Mount Kisco

Get reliable air quality data to drive your business

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

0.17ppm

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 2025-10-20.

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 04:00:00 on 2025-10-21.

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

The current air quality in Mount Kisco, New York is 19, 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 2.544 μg/m³.

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

The current PM₁₀ concentration at Mount Kisco, New York is 9.683 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 0.178 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 0.41 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 19.87 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 10.136 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T18:00:00.000Z	35 \| good	4.945 \| good	19.377 \| good	37.646 \| good	0.277 \| good	3.99 \| good	0.257 \| good
2025-10-19T19:00:00.000Z	37 \| good	5.711 \| good	23.733 \| good	39.777 \| good	0.317 \| good	4.445 \| good	0.21 \| good
2025-10-19T20:00:00.000Z	39 \| good	5.73 \| good	25.916 \| good	41.976 \| good	0.198 \| good	3.403 \| good	0.221 \| good
2025-10-19T21:00:00.000Z	42 \| good	6.398 \| good	27.699 \| good	44.664 \| good	0.215 \| good	4.59 \| good	0.221 \| good
2025-10-19T22:00:00.000Z	40 \| good	5.771 \| good	23.387 \| good	43.137 \| good	0.315 \| good	4.581 \| good	0.221 \| good
2025-10-19T23:00:00.000Z	42 \| good	6.383 \| good	24.693 \| good	45.294 \| good	0.247 \| good	4.512 \| good	0.239 \| good
2025-10-20T00:00:00.000Z	44 \| good	8.149 \| good	31.528 \| good	44.577 \| good	0.232 \| good	6.253 \| good	0.239 \| good
2025-10-20T01:00:00.000Z	42 \| good	6.784 \| good	28.814 \| good	44.939 \| good	0.201 \| good	6.22 \| good	0.228 \| good
2025-10-20T02:00:00.000Z	39 \| good	7.06 \| good	25.076 \| good	41.94 \| good	0.192 \| good	6.128 \| good	0.21 \| good
2025-10-20T03:00:00.000Z	41 \| good	6.782 \| good	28.877 \| good	43.92 \| good	0.183 \| good	5.655 \| good	0.187 \| good
2025-10-20T04:00:00.000Z	40 \| good	5.676 \| good	24.295 \| good	43.056 \| good	0.168 \| good	4.428 \| good	0.187 \| good
2025-10-20T05:00:00.000Z	39 \| good	6.169 \| good	24.917 \| good	42.347 \| good	0.241 \| good	4.622 \| good	0.187 \| good
2025-10-20T06:00:00.000Z	40 \| good	4.015 \| good	16.021 \| good	42.574 \| good	0.248 \| good	3.417 \| good	0.173 \| good
2025-10-20T07:00:00.000Z	38 \| good	4.509 \| good	24.66 \| good	41.224 \| good	0.218 \| good	3.39 \| good	0.176 \| good
2025-10-20T08:00:00.000Z	35 \| good	4.855 \| good	23.416 \| good	38.279 \| good	0.292 \| good	3.411 \| good	0.151 \| good
2025-10-20T09:00:00.000Z	36 \| good	4.141 \| good	11.463 \| good	39.359 \| good	0.296 \| good	2.974 \| good	0.151 \| good
2025-10-20T10:00:00.000Z	33 \| good	4.359 \| good	12.528 \| good	35.99 \| good	0.239 \| good	3.558 \| good	0.158 \| good
2025-10-20T11:00:00.000Z	32 \| good	4.748 \| good	15.36 \| good	34.695 \| good	0.318 \| good	12.088 \| good	0.212 \| good
2025-10-20T12:00:00.000Z	30 \| good	2.043 \| good	5.132 \| good	32.354 \| good	0.329 \| good	11.061 \| good	0.21 \| good
2025-10-20T13:00:00.000Z	31 \| good	3.274 \| good	15.93 \| good	33.259 \| good	0.368 \| good	9.562 \| good	0.21 \| good
2025-10-20T14:00:00.000Z	28 \| good	2.406 \| good	7.33 \| good	30.155 \| good	0.264 \| good	7.328 \| good	0.232 \| good
2025-10-20T15:00:00.000Z	26 \| good	1.996 \| good	6.524 \| good	28.199 \| good	0.204 \| good	9.792 \| good	0.21 \| good
2025-10-20T16:00:00.000Z	27 \| good	2.209 \| good	10.721 \| good	28.705 \| good	0.846 \| good	8.704 \| good	0.176 \| good
2025-10-20T17:00:00.000Z	24 \| good	2.6 \| good	11.847 \| good	26.114 \| good	0.572 \| good	8.521 \| good	0.176 \| good
2025-10-20T18:00:00.000Z	24 \| good	0.756 \| good	2.82 \| good	26.409 \| good	1.04 \| good	8.303 \| good	0.176 \| good
2025-10-20T19:00:00.000Z	24 \| good	1.611 \| good	7.295 \| good	25.986 \| good	0.163 \| good	5.766 \| good	0.154 \| good
2025-10-20T20:00:00.000Z	21 \| good	1.251 \| good	7.894 \| good	23.211 \| good	0.322 \| good	4.374 \| good	0.137 \| good
2025-10-20T21:00:00.000Z	23 \| good	0.98 \| good	7.998 \| good	24.802 \| good	0.255 \| good	2.9 \| good	0.173 \| good
2025-10-20T22:00:00.000Z	23 \| good	1.062 \| good	4.559 \| good	25.232 \| good	0.48 \| good	4.125 \| good	0.137 \| good
2025-10-20T23:00:00.000Z	23 \| good	2.14 \| good	9.55 \| good	24.699 \| good	0.251 \| good	2.564 \| good	0.114 \| good
2025-10-21T00:00:00.000Z	23 \| good	2.209 \| good	8.603 \| good	25.161 \| good	0.251 \| good	2.798 \| good	0.154 \| good
2025-10-21T01:00:00.000Z	21 \| good	2.897 \| good	13.188 \| good	22.788 \| good	0.272 \| good	3.515 \| good	0.154 \| good
2025-10-21T02:00:00.000Z	22 \| good	2.637 \| good	9.573 \| good	24.279 \| good	0.271 \| good	4.135 \| good	0.154 \| good
2025-10-21T03:00:00.000Z	25 \| good	3.552 \| good	16.066 \| good	26.748 \| good	0.754 \| good	5.927 \| good	0.135 \| good
2025-10-21T04:00:00.000Z	18 \| good	2.602 \| good	12.635 \| good	19.388 \| good	0.254 \| good	5.252 \| good	0.131 \| good
2025-10-21T05:00:00.000Z	21 \| good	2.751 \| good	10.047 \| good	22.811 \| good	0.254 \| good	6.278 \| good	0.131 \| good
2025-10-21T06:00:00.000Z	19 \| good	2.636 \| good	11.544 \| good	21.159 \| good	0.255 \| good	8.251 \| good	0.114 \| good
2025-10-21T07:00:00.000Z	19 \| good	3.066 \| good	7.944 \| good	21.483 \| good	0.233 \| good	5.247 \| good	0.1 \| good
2025-10-21T08:00:00.000Z	20 \| good	2.52 \| good	9.005 \| good	21.639 \| good	0.163 \| good	5.805 \| good	0.116 \| good
2025-10-21T09:00:00.000Z	23 \| good	2.736 \| good	7.67 \| good	24.739 \| good	0.255 \| good	4.496 \| good	0.117 \| good
2025-10-21T10:00:00.000Z	19 \| good	2.971 \| good	8.856 \| good	21.403 \| good	0.47 \| good	9.353 \| good	0.151 \| good
2025-10-21T11:00:00.000Z	19 \| good	2.544 \| good	9.683 \| good	19.87 \| good	0.41 \| good	10.136 \| good	0.178 \| good
2025-10-21T12:00:00.000Z	27 \| good	4.905 \| good	14.62 \| good	15.713 \| good	0.347 \| good	11.405 \| good	0.244 \| good
2025-10-21T13:00:00.000Z	16 \| good	3.422 \| good	8.065 \| good	14.877 \| good	0.448 \| good	12.205 \| good	0.316 \| good
2025-10-21T14:00:00.000Z	17 \| good	2.567 \| good	10.276 \| good	17.672 \| good	0.627 \| good	11.409 \| good	0.358 \| good
2025-10-21T15:00:00.000Z	17 \| good	2.654 \| good	10.974 \| good	18.246 \| good	0.533 \| good	7.097 \| good	0.251 \| good
2025-10-21T16:00:00.000Z	20 \| good	2.027 \| good	11.734 \| good	22.186 \| good	0.869 \| good	8.324 \| good	0.251 \| good
2025-10-21T17:00:00.000Z	20 \| good	2.699 \| good	10.187 \| good	22.066 \| good	1.164 \| good	10.837 \| good	0.194 \| good
2025-10-21T17:00:00.000Z	20 \| good	2.027 \| good	11.734 \| good	22.186 \| good	0.869 \| good	8.324 \| good	0.251 \| good
2025-10-21T13:00:00.000Z	22 \| good	4.103 \| good	17.745 \| good	23.984 \| good	1.331 \| good	7.186 \| good	0.155 \| good
2025-10-21T14:00:00.000Z	28 \| good	3.016 \| good	13.04 \| good	29.77 \| good	1.565 \| good	6.39 \| good	0.152 \| good
2025-10-21T15:00:00.000Z	31 \| good	3.071 \| good	12.749 \| good	33.414 \| good	1.8 \| good	5.594 \| good	0.15 \| good
2025-10-21T16:00:00.000Z	34 \| good	4.034 \| good	17.789 \| good	36.769 \| good	2.539 \| good	5.741 \| good	0.149 \| good
2025-10-21T17:00:00.000Z	36 \| good	5.114 \| good	21.922 \| good	38.745 \| good	3.278 \| good	5.887 \| good	0.149 \| good
2025-10-21T18:00:00.000Z	36 \| good	5.643 \| good	24.166 \| good	39.31 \| good	4.018 \| good	6.033 \| good	0.148 \| good
2025-10-21T19:00:00.000Z	38 \| good	7.466 \| good	32.707 \| good	39.095 \| good	3.778 \| good	6.753 \| good	0.151 \| good
2025-10-21T20:00:00.000Z	38 \| good	6.94 \| good	30.615 \| good	41.344 \| good	3.538 \| good	7.473 \| good	0.155 \| good
2025-10-21T21:00:00.000Z	38 \| good	7.283 \| good	32.339 \| good	40.203 \| good	3.298 \| good	8.192 \| good	0.158 \| good
2025-10-21T22:00:00.000Z	38 \| good	6.773 \| good	29.998 \| good	36.643 \| good	2.997 \| good	9.762 \| good	0.169 \| good
2025-10-21T23:00:00.000Z	38 \| good	6.882 \| good	30.449 \| good	32.73 \| good	2.696 \| good	11.332 \| good	0.181 \| good
2025-10-22T00:00:00.000Z	44 \| good	7.721 \| good	33.733 \| good	32.838 \| good	2.395 \| good	12.901 \| good	0.193 \| good
2025-10-22T01:00:00.000Z	44 \| good	8.16 \| good	35.562 \| good	29.473 \| good	2.196 \| good	11.607 \| good	0.183 \| good
2025-10-22T02:00:00.000Z	49 \| good	8.866 \| good	39.027 \| good	28.713 \| good	1.996 \| good	10.313 \| good	0.174 \| good
2025-10-22T03:00:00.000Z	44 \| good	7.667 \| good	33.992 \| good	32.645 \| good	1.797 \| good	9.019 \| good	0.165 \| good
2025-10-22T04:00:00.000Z	38 \| good	6.589 \| good	29.667 \| good	34.632 \| good	1.744 \| good	8.569 \| good	0.161 \| good
2025-10-22T05:00:00.000Z	33 \| good	5.826 \| good	25.175 \| good	35.207 \| good	1.691 \| good	8.12 \| good	0.158 \| good
2025-10-22T06:00:00.000Z	32 \| good	5.21 \| good	22.484 \| good	35.157 \| good	1.638 \| good	7.67 \| good	0.154 \| good
2025-10-22T07:00:00.000Z	31 \| good	5.27 \| good	22.538 \| good	33.794 \| good	1.685 \| good	7.713 \| good	0.153 \| good
2025-10-22T08:00:00.000Z	33 \| good	5.85 \| good	25.547 \| good	30.697 \| good	1.731 \| good	7.756 \| good	0.152 \| good
2025-10-22T09:00:00.000Z	27 \| good	5.411 \| good	23.369 \| good	26.719 \| good	1.778 \| good	7.798 \| good	0.151 \| good
2025-10-22T10:00:00.000Z	28 \| good	4.22 \| good	18.414 \| good	30.463 \| good	1.998 \| good	9.694 \| good	0.162 \| good
2025-10-22T11:00:00.000Z	30 \| good	3.82 \| good	16.39 \| good	32.135 \| good	2.218 \| good	11.59 \| good	0.174 \| good
2025-10-22T12:00:00.000Z	27 \| good	4.756 \| good	20.736 \| good	29.179 \| good	2.438 \| good	13.486 \| good	0.185 \| good
2025-10-22T13:00:00.000Z	38 \| good	7.469 \| good	33.148 \| good	30.118 \| good	2.853 \| good	11.73 \| good	0.186 \| good
2025-10-22T14:00:00.000Z	33 \| good	4.401 \| good	19.439 \| good	35.727 \| good	3.267 \| good	9.974 \| good	0.188 \| good
2025-10-22T15:00:00.000Z	35 \| good	2.617 \| good	10.842 \| good	38.325 \| good	3.682 \| good	8.218 \| good	0.189 \| good
2025-10-22T16:00:00.000Z	37 \| good	2.602 \| good	10.52 \| good	39.989 \| good	3.291 \| good	6.428 \| good	0.172 \| good
2025-10-22T17:00:00.000Z	39 \| good	2.785 \| good	11.585 \| good	42.016 \| good	2.899 \| good	4.638 \| good	0.156 \| good
2025-10-22T18:00:00.000Z	39 \| good	3.069 \| good	13.146 \| good	41.582 \| good	2.508 \| good	2.849 \| good	0.139 \| good
2025-10-22T19:00:00.000Z	37 \| good	3.642 \| good	16.04 \| good	39.64 \| good	2.202 \| good	3.035 \| good	0.138 \| good
2025-10-22T20:00:00.000Z	34 \| good	3.758 \| good	16.121 \| good	37.432 \| good	1.897 \| good	3.222 \| good	0.136 \| good
2025-10-22T21:00:00.000Z	33 \| good	4.616 \| good	19.999 \| good	36.446 \| good	1.591 \| good	3.408 \| good	0.135 \| good
2025-10-22T22:00:00.000Z	31 \| good	4.634 \| good	20.032 \| good	32.893 \| good	1.727 \| good	5.443 \| good	0.146 \| good
2025-10-22T23:00:00.000Z	29 \| good	4.096 \| good	17.927 \| good	31.049 \| good	1.863 \| good	7.478 \| good	0.157 \| good
2025-10-23T00:00:00.000Z	24 \| good	4.202 \| good	18.557 \| good	25.887 \| good	1.999 \| good	9.514 \| good	0.168 \| good
2025-10-23T01:00:00.000Z	22 \| good	3.764 \| good	16.237 \| good	22.878 \| good	2.136 \| good	11.506 \| good	0.178 \| good
2025-10-23T02:00:00.000Z	27 \| good	4.72 \| good	20.622 \| good	19.767 \| good	2.274 \| good	13.498 \| good	0.188 \| good
2025-10-23T03:00:00.000Z	22 \| good	4.06 \| good	17.991 \| good	18.865 \| good	2.412 \| good	15.491 \| good	0.198 \| good
2025-10-23T04:00:00.000Z	27 \| good	4.998 \| good	21.484 \| good	18.12 \| good	2.558 \| good	15.162 \| good	0.195 \| good
2025-10-23T05:00:00.000Z	27 \| good	5.015 \| good	21.966 \| good	18.297 \| good	2.703 \| good	14.833 \| good	0.191 \| good
2025-10-23T06:00:00.000Z	49 \| good	8.77 \| good	8.776 \| good	14.858 \| good	2.861 \| good	14.655 \| good	0.189 \| good
2025-10-23T07:00:00.000Z	27 \| good	4.959 \| good	21.149 \| good	17.948 \| good	2.94 \| good	13.266 \| good	0.182 \| good
2025-10-23T08:00:00.000Z	27 \| good	5.331 \| good	22.856 \| good	17.046 \| good	3.032 \| good	12.027 \| good	0.177 \| good
2025-10-23T09:00:00.000Z	33 \| good	5.565 \| good	24.16 \| good	16.8 \| good	3.123 \| good	10.788 \| good	0.171 \| good
2025-10-23T10:00:00.000Z	27 \| good	4.779 \| good	20.727 \| good	15.893 \| good	3.209 \| good	11.155 \| good	0.178 \| good
2025-10-23T11:00:00.000Z	27 \| good	5.119 \| good	21.994 \| good	15.97 \| good	3.296 \| good	11.522 \| good	0.185 \| good
2025-10-23T12:00:00.000Z	49 \| good	8.504 \| good	8.509 \| good	13.86 \| good	3.392 \| good	11.975 \| good	0.192 \| good

Mount Kisco, New York live air quality index now

Major air pollutants in Mount Kisco, New York

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

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Air quality in nearby cities

New Castle, New York

Bedford, New York

North Castle, New York

Yorktown, New York

Somers, New York

Mount Pleasant, New York

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Frequently asked questions

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

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

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

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

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

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

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

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

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

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