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

The current PM10 levels in Schenectady, New York are 31.915 μg/m3.

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

The current sulfur dioxide (SO2) levels in Schenectady, New York are 0.399 ppb.

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

The current ozone (O3) levels at Schenectady, New York is 4.39 ppm.

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

The current nitrogen dioxide (NO2) levels at Schenectady, New York is 11.919 ppb.

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

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

The measured PM2.5 levels in Schenectady, New York at present are 7.897 μg/m3.

Stay updated with real-time air quality in Schenectady, 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

Schenectady, New York

Last updated: ... (Local time)

Common air pollutants in Schenectady, New York

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

2.08 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

8.80 μg/m³

155

255

425

605+

Ozone (O₃)

26.75 ppb

201

201+

Sulfur Dioxide (SO₂)

0.32 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

0.83 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.14 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Schenectady, New York

Get Live Pollen Counts

Schenectady, New York

Scroll To Air Quality Map

Track live Schenectady, New York air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-11-02T16:00:00.000Z	16 \| good	3.287 \| good	8.472 \| good	13.473 \| good	0.187 \| good	2.236 \| good	0.133 \| good
2025-11-02T17:00:00.000Z	16 \| good	3.343 \| good	5.589 \| good	13.473 \| good	0.158 \| good	1.717 \| good	0.149 \| good
2025-11-02T18:00:00.000Z	17 \| good	3.229 \| good	7.978 \| good	17.619 \| good	0.132 \| good	2.404 \| good	0.163 \| good
2025-11-02T19:00:00.000Z	22 \| good	3.62 \| good	6.819 \| good	21.671 \| good	0.151 \| good	1.7 \| good	0.163 \| good
2025-11-02T20:00:00.000Z	22 \| good	3.367 \| good	8.667 \| good	23.604 \| good	0.173 \| good	1.766 \| good	0.18 \| good
2025-11-02T21:00:00.000Z	23 \| good	3.289 \| good	10.496 \| good	25.353 \| good	0.173 \| good	2.678 \| good	0.197 \| good
2025-11-02T22:00:00.000Z	26 \| good	3.424 \| good	11.518 \| good	28.303 \| good	0.115 \| good	4.082 \| good	0.197 \| good
2025-11-02T23:00:00.000Z	27 \| good	4.485 \| good	16.614 \| good	28.594 \| good	0.176 \| good	6.605 \| good	0.242 \| good
2025-11-03T00:00:00.000Z	33 \| good	5.659 \| good	22.07 \| good	26.543 \| good	0.228 \| good	3.897 \| good	0.377 \| good
2025-11-03T01:00:00.000Z	44 \| good	8.168 \| good	25.885 \| good	19.909 \| good	0.341 \| good	12.38 \| good	0.392 \| good
2025-11-03T02:00:00.000Z	44 \| good	8.43 \| good	28.74 \| good	16.192 \| good	0.29 \| good	19.084 \| good	0.358 \| good
2025-11-03T03:00:00.000Z	54 \| moderate	10.99 \| good	29.156 \| good	13.17 \| good	0.324 \| good	14.364 \| good	0.34 \| good
2025-11-03T04:00:00.000Z	54 \| moderate	10.751 \| good	36.888 \| good	12.145 \| good	0.373 \| good	13.659 \| good	0.319 \| good
2025-11-03T05:00:00.000Z	52 \| moderate	10.061 \| good	30.25 \| good	10.054 \| good	0.348 \| good	13.643 \| good	0.339 \| good
2025-11-03T06:00:00.000Z	49 \| good	9.114 \| good	39.863 \| good	4.652 \| good	0.276 \| good	10.954 \| good	0.349 \| good
2025-11-03T07:00:00.000Z	49 \| good	8.926 \| good	27.855 \| good	6.326 \| good	0.249 \| good	16.636 \| good	0.384 \| good
2025-11-03T08:00:00.000Z	49 \| good	9.114 \| good	31.835 \| good	4.19 \| good	0.344 \| good	13.01 \| good	0.325 \| good
2025-11-03T09:00:00.000Z	54 \| moderate	10.568 \| good	30.483 \| good	3.404 \| good	0.339 \| good	9.497 \| good	0.308 \| good
2025-11-03T10:00:00.000Z	52 \| moderate	10.226 \| good	34.727 \| good	2.998 \| good	0.321 \| good	8.14 \| good	0.341 \| good
2025-11-03T11:00:00.000Z	49 \| good	8.731 \| good	27.144 \| good	5.465 \| good	0.341 \| good	9.96 \| good	0.357 \| good
2025-11-03T12:00:00.000Z	44 \| good	7.897 \| good	31.915 \| good	4.39 \| good	0.399 \| good	11.919 \| good	0.278 \| good
2025-11-03T13:00:00.000Z	33 \| good	6.432 \| good	24.242 \| good	6.689 \| good	0.353 \| good	11.735 \| good	0.394 \| good
2025-11-03T14:00:00.000Z	44 \| good	7.681 \| good	28.987 \| good	4.072 \| good	0.505 \| good	10.394 \| good	0.403 \| good
2025-11-03T15:00:00.000Z	49 \| good	9.235 \| good	29.596 \| good	7.122 \| good	0.428 \| good	9.183 \| good	0.431 \| good
2025-11-03T16:00:00.000Z	49 \| good	8.567 \| good	36.14 \| good	6.542 \| good	0.393 \| good	11.099 \| good	0.42 \| good
2025-11-03T17:00:00.000Z	33 \| good	5.994 \| good	24.598 \| good	13.182 \| good	0.31 \| good	6.86 \| good	0.345 \| good
2025-11-03T18:00:00.000Z	33 \| good	6.256 \| good	22.77 \| good	21.712 \| good	0.319 \| good	5.743 \| good	0.27 \| good
2025-11-03T19:00:00.000Z	38 \| good	6.7 \| good	32.493 \| good	27.689 \| good	0.29 \| good	4.425 \| good	0.249 \| good
2025-11-03T20:00:00.000Z	33 \| good	6.368 \| good	25.657 \| good	29.761 \| good	0.262 \| good	8.722 \| good	0.284 \| good
2025-11-03T21:00:00.000Z	34 \| good	5.46 \| good	17.889 \| good	37.1 \| good	0.305 \| good	11.602 \| good	0.263 \| good
2025-11-03T22:00:00.000Z	27 \| good	5.4 \| good	19.777 \| good	29.135 \| good	0.228 \| good	6.187 \| good	0.256 \| good
2025-11-03T23:00:00.000Z	29 \| good	5.411 \| good	19.134 \| good	30.818 \| good	0.227 \| good	4.29 \| good	0.254 \| good
2025-11-04T00:00:00.000Z	29 \| good	4.664 \| good	11.167 \| good	30.975 \| good	0.254 \| good	5.381 \| good	0.271 \| good
2025-11-04T01:00:00.000Z	27 \| good	5.077 \| good	16.801 \| good	27.199 \| good	0.299 \| good	5.05 \| good	0.281 \| good
2025-11-04T02:00:00.000Z	28 \| good	4.916 \| good	18.751 \| good	30.346 \| good	0.227 \| good	5.129 \| good	0.235 \| good
2025-11-04T03:00:00.000Z	27 \| good	4.145 \| good	14.757 \| good	29.368 \| good	0.349 \| good	3.608 \| good	0.14 \| good
2025-11-04T04:00:00.000Z	28 \| good	3.399 \| good	7.434 \| good	30.255 \| good	0.19 \| good	2.612 \| good	0.137 \| good
2025-11-04T05:00:00.000Z	28 \| good	2.791 \| good	9.903 \| good	30.396 \| good	0.323 \| good	2.646 \| good	0.116 \| good
2025-11-04T06:00:00.000Z	29 \| good	2.197 \| good	9.049 \| good	30.617 \| good	0.335 \| good	2.512 \| good	0.117 \| good
2025-11-04T07:00:00.000Z	29 \| good	1.948 \| good	8.309 \| good	31.001 \| good	0.368 \| good	1.919 \| good	0.1 \| good
2025-11-04T08:00:00.000Z	28 \| good	1.729 \| good	7.542 \| good	29.785 \| good	0.353 \| good	4.182 \| good	0.1 \| good
2025-11-04T09:00:00.000Z	29 \| good	1.697 \| good	4.861 \| good	31.102 \| good	0.382 \| good	5.547 \| good	0.1 \| good
2025-11-04T10:00:00.000Z	30 \| good	1.69 \| good	4.367 \| good	31.548 \| good	0.368 \| good	1.546 \| good	0.1 \| good
2025-11-04T11:00:00.000Z	28 \| good	1.731 \| good	2.644 \| good	30.007 \| good	0.306 \| good	1.597 \| good	0.1 \| good
2025-11-04T12:00:00.000Z	28 \| good	1.677 \| good	11.05 \| good	29.891 \| good	0.344 \| good	1.592 \| good	0.116 \| good
2025-11-04T13:00:00.000Z	28 \| good	1.98 \| good	7.771 \| good	29.563 \| good	0.344 \| good	7.016 \| good	0.116 \| good
2025-11-04T14:00:00.000Z	25 \| good	2.075 \| good	8.798 \| good	26.746 \| good	0.315 \| good	0.832 \| good	0.139 \| good
2025-11-04T15:00:00.000Z	25 \| good	2.075 \| good	8.798 \| good	26.746 \| good	0.315 \| good	0.832 \| good	0.139 \| good
2025-11-03T14:00:00.000Z	54 \| moderate	11.011 \| good	48.951 \| good	21.781 \| good	2.407 \| good	6.523 \| good	0.23 \| good
2025-11-03T15:00:00.000Z	56 \| moderate	12.272 \| fine	54.91 \| good	29.472 \| good	2.452 \| good	5.137 \| good	0.226 \| good
2025-11-03T16:00:00.000Z	52 \| moderate	10.394 \| good	45.826 \| good	33.188 \| good	2.343 \| good	4.3 \| good	0.2 \| good
2025-11-03T17:00:00.000Z	38 \| good	7.495 \| good	32.974 \| good	34.364 \| good	2.234 \| good	3.464 \| good	0.175 \| good
2025-11-03T18:00:00.000Z	33 \| good	6.182 \| good	27.132 \| good	32.182 \| good	2.124 \| good	2.628 \| good	0.149 \| good
2025-11-03T19:00:00.000Z	33 \| good	6.193 \| good	27.849 \| good	30.95 \| good	2.04 \| good	2.868 \| good	0.147 \| good
2025-11-03T20:00:00.000Z	33 \| good	5.795 \| good	25.048 \| good	31.715 \| good	1.956 \| good	3.107 \| good	0.145 \| good
2025-11-03T21:00:00.000Z	30 \| good	5.272 \| good	22.944 \| good	31.518 \| good	1.872 \| good	3.347 \| good	0.143 \| good
2025-11-03T22:00:00.000Z	31 \| good	4.855 \| good	20.953 \| good	33.014 \| good	2.003 \| good	3.378 \| good	0.147 \| good
2025-11-03T23:00:00.000Z	31 \| good	4.448 \| good	19.12 \| good	33.209 \| good	2.134 \| good	3.409 \| good	0.152 \| good
2025-11-04T00:00:00.000Z	27 \| good	3.344 \| good	14.908 \| good	29.088 \| good	2.265 \| good	3.44 \| good	0.156 \| good
2025-11-04T01:00:00.000Z	26 \| good	4.098 \| good	18.029 \| good	27.539 \| good	1.695 \| good	3.099 \| good	0.152 \| good
2025-11-04T02:00:00.000Z	25 \| good	3.627 \| good	15.965 \| good	26.697 \| good	1.125 \| good	2.757 \| good	0.148 \| good
2025-11-04T03:00:00.000Z	27 \| good	2.98 \| good	12.308 \| good	28.617 \| good	0.555 \| good	2.415 \| good	0.144 \| good
2025-11-04T04:00:00.000Z	26 \| good	3.004 \| good	12.074 \| good	27.837 \| good	0.51 \| good	2.101 \| good	0.14 \| good
2025-11-04T05:00:00.000Z	27 \| good	2.803 \| good	11.764 \| good	29.013 \| good	0.465 \| good	1.786 \| good	0.136 \| good
2025-11-04T06:00:00.000Z	26 \| good	1.774 \| good	7.082 \| good	28.258 \| good	0.42 \| good	1.472 \| good	0.132 \| good
2025-11-04T07:00:00.000Z	27 \| good	1.587 \| good	6.742 \| good	29.239 \| good	0.374 \| good	1.167 \| good	0.127 \| good
2025-11-04T08:00:00.000Z	27 \| good	2.156 \| good	8.855 \| good	29.014 \| good	0.328 \| good	0.863 \| good	0.122 \| good
2025-11-04T09:00:00.000Z	26 \| good	1.694 \| good	7 \| good	28.023 \| good	0.282 \| good	0.558 \| good	0.117 \| good
2025-11-04T10:00:00.000Z	25 \| good	1.733 \| good	7.048 \| good	26.873 \| good	0.282 \| good	0.673 \| good	0.118 \| good
2025-11-04T11:00:00.000Z	25 \| good	1.606 \| good	6.786 \| good	27.084 \| good	0.281 \| good	0.787 \| good	0.119 \| good
2025-11-04T12:00:00.000Z	26 \| good	1.738 \| good	7.026 \| good	27.732 \| good	0.281 \| good	0.902 \| good	0.12 \| good
2025-11-04T13:00:00.000Z	26 \| good	2.565 \| good	10.101 \| good	28.196 \| good	0.286 \| good	0.826 \| good	0.119 \| good
2025-11-04T14:00:00.000Z	27 \| good	2.258 \| good	9.048 \| good	29.244 \| good	0.291 \| good	0.749 \| good	0.118 \| good
2025-11-04T15:00:00.000Z	26 \| good	1.786 \| good	7.707 \| good	28.239 \| good	0.296 \| good	0.673 \| good	0.118 \| good
2025-11-04T16:00:00.000Z	24 \| good	1.782 \| good	7.742 \| good	25.814 \| good	0.314 \| good	0.719 \| good	0.116 \| good
2025-11-04T17:00:00.000Z	24 \| good	1.867 \| good	7.837 \| good	26.477 \| good	0.333 \| good	0.765 \| good	0.115 \| good
2025-11-04T18:00:00.000Z	25 \| good	2.575 \| good	10.752 \| good	27.272 \| good	0.351 \| good	0.811 \| good	0.113 \| good
2025-11-04T19:00:00.000Z	24 \| good	2.987 \| good	12 \| good	26.486 \| good	0.373 \| good	1.043 \| good	0.114 \| good
2025-11-04T20:00:00.000Z	21 \| good	3.19 \| good	14 \| good	23.431 \| good	0.395 \| good	1.276 \| good	0.115 \| good
2025-11-04T21:00:00.000Z	22 \| good	3.685 \| good	16 \| good	24.113 \| good	0.417 \| good	1.508 \| good	0.116 \| good
2025-11-04T22:00:00.000Z	27 \| good	4.958 \| good	21.171 \| good	26.036 \| good	0.487 \| good	1.945 \| good	0.119 \| good
2025-11-04T23:00:00.000Z	33 \| good	6.328 \| good	28.146 \| good	26.307 \| good	0.558 \| good	2.383 \| good	0.122 \| good
2025-11-05T00:00:00.000Z	27 \| good	5.487 \| good	23.324 \| good	26.496 \| good	0.628 \| good	2.82 \| good	0.126 \| good
2025-11-05T01:00:00.000Z	27 \| good	4.545 \| good	19.375 \| good	25.939 \| good	0.682 \| good	3.122 \| good	0.129 \| good
2025-11-05T02:00:00.000Z	27 \| good	4.573 \| good	20.035 \| good	20.947 \| good	0.735 \| good	3.424 \| good	0.132 \| good
2025-11-05T03:00:00.000Z	27 \| good	5.333 \| good	23.268 \| good	18.804 \| good	0.789 \| good	3.727 \| good	0.135 \| good
2025-11-05T04:00:00.000Z	27 \| good	4.796 \| good	21.177 \| good	18.847 \| good	0.787 \| good	3.945 \| good	0.138 \| good
2025-11-05T05:00:00.000Z	22 \| good	4.287 \| good	19.036 \| good	16.812 \| good	0.784 \| good	4.163 \| good	0.141 \| good
2025-11-05T06:00:00.000Z	23 \| good	3.946 \| good	4.402 \| good	24.687 \| good	0.784 \| good	4.398 \| good	0.144 \| good
2025-11-05T07:00:00.000Z	22 \| good	3.938 \| good	17.043 \| good	15.449 \| good	0.774 \| good	4.494 \| good	0.146 \| good
2025-11-05T08:00:00.000Z	22 \| good	3.91 \| good	17.043 \| good	16.08 \| good	0.766 \| good	4.608 \| good	0.148 \| good
2025-11-05T09:00:00.000Z	22 \| good	4.372 \| good	18.956 \| good	15.936 \| good	0.758 \| good	4.722 \| good	0.15 \| good
2025-11-05T10:00:00.000Z	27 \| good	5.33 \| good	22.929 \| good	16.503 \| good	0.788 \| good	5.762 \| good	0.161 \| good
2025-11-05T11:00:00.000Z	33 \| good	6.084 \| good	26.932 \| good	11.237 \| good	0.819 \| good	6.802 \| good	0.171 \| good
2025-11-05T12:00:00.000Z	38 \| good	6.956 \| good	7.37 \| good	14.809 \| good	0.85 \| good	7.891 \| good	0.182 \| good
2025-11-05T13:00:00.000Z	38 \| good	6.88 \| good	7.174 \| good	15.976 \| good	0.888 \| good	7.023 \| good	0.183 \| good

Schenectady

Empower business decisions with accurate air quality data

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

0.28ppm

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 Schenectady, New York updated?

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

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

The worst air quality in Schenectady, New York was recorded at 09:00:00 on 2025-11-03.

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

The best air quality in Schenectady, New York was recorded at 05:00:00 on 2025-11-02.

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

The real-time air quality index in Schenectady, New York is 44, currently categorized as Good.

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

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

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

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

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

The measured PM_2.5 levels in Schenectady, New York at present are 7.897 μg/m³.

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

The current PM₁₀ levels in Schenectady, New York are 31.915 μg/m³.

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

The current carbon monoxide (CO) level in Schenectady, New York is 0.278 ppm.

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

The current sulfur dioxide (SO₂) levels in Schenectady, New York are 0.399 ppb.

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

The current ozone (O₃) levels at Schenectady, New York is 4.39 ppm.

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

The current nitrogen dioxide (NO₂) levels at Schenectady, New York is 11.919 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-11-02T16:00:00.000Z	16 \| good	3.287 \| good	8.472 \| good	13.473 \| good	0.187 \| good	2.236 \| good	0.133 \| good
2025-11-02T17:00:00.000Z	16 \| good	3.343 \| good	5.589 \| good	13.473 \| good	0.158 \| good	1.717 \| good	0.149 \| good
2025-11-02T18:00:00.000Z	17 \| good	3.229 \| good	7.978 \| good	17.619 \| good	0.132 \| good	2.404 \| good	0.163 \| good
2025-11-02T19:00:00.000Z	22 \| good	3.62 \| good	6.819 \| good	21.671 \| good	0.151 \| good	1.7 \| good	0.163 \| good
2025-11-02T20:00:00.000Z	22 \| good	3.367 \| good	8.667 \| good	23.604 \| good	0.173 \| good	1.766 \| good	0.18 \| good
2025-11-02T21:00:00.000Z	23 \| good	3.289 \| good	10.496 \| good	25.353 \| good	0.173 \| good	2.678 \| good	0.197 \| good
2025-11-02T22:00:00.000Z	26 \| good	3.424 \| good	11.518 \| good	28.303 \| good	0.115 \| good	4.082 \| good	0.197 \| good
2025-11-02T23:00:00.000Z	27 \| good	4.485 \| good	16.614 \| good	28.594 \| good	0.176 \| good	6.605 \| good	0.242 \| good
2025-11-03T00:00:00.000Z	33 \| good	5.659 \| good	22.07 \| good	26.543 \| good	0.228 \| good	3.897 \| good	0.377 \| good
2025-11-03T01:00:00.000Z	44 \| good	8.168 \| good	25.885 \| good	19.909 \| good	0.341 \| good	12.38 \| good	0.392 \| good
2025-11-03T02:00:00.000Z	44 \| good	8.43 \| good	28.74 \| good	16.192 \| good	0.29 \| good	19.084 \| good	0.358 \| good
2025-11-03T03:00:00.000Z	54 \| moderate	10.99 \| good	29.156 \| good	13.17 \| good	0.324 \| good	14.364 \| good	0.34 \| good
2025-11-03T04:00:00.000Z	54 \| moderate	10.751 \| good	36.888 \| good	12.145 \| good	0.373 \| good	13.659 \| good	0.319 \| good
2025-11-03T05:00:00.000Z	52 \| moderate	10.061 \| good	30.25 \| good	10.054 \| good	0.348 \| good	13.643 \| good	0.339 \| good
2025-11-03T06:00:00.000Z	49 \| good	9.114 \| good	39.863 \| good	4.652 \| good	0.276 \| good	10.954 \| good	0.349 \| good
2025-11-03T07:00:00.000Z	49 \| good	8.926 \| good	27.855 \| good	6.326 \| good	0.249 \| good	16.636 \| good	0.384 \| good
2025-11-03T08:00:00.000Z	49 \| good	9.114 \| good	31.835 \| good	4.19 \| good	0.344 \| good	13.01 \| good	0.325 \| good
2025-11-03T09:00:00.000Z	54 \| moderate	10.568 \| good	30.483 \| good	3.404 \| good	0.339 \| good	9.497 \| good	0.308 \| good
2025-11-03T10:00:00.000Z	52 \| moderate	10.226 \| good	34.727 \| good	2.998 \| good	0.321 \| good	8.14 \| good	0.341 \| good
2025-11-03T11:00:00.000Z	49 \| good	8.731 \| good	27.144 \| good	5.465 \| good	0.341 \| good	9.96 \| good	0.357 \| good
2025-11-03T12:00:00.000Z	44 \| good	7.897 \| good	31.915 \| good	4.39 \| good	0.399 \| good	11.919 \| good	0.278 \| good
2025-11-03T13:00:00.000Z	33 \| good	6.432 \| good	24.242 \| good	6.689 \| good	0.353 \| good	11.735 \| good	0.394 \| good
2025-11-03T14:00:00.000Z	44 \| good	7.681 \| good	28.987 \| good	4.072 \| good	0.505 \| good	10.394 \| good	0.403 \| good
2025-11-03T15:00:00.000Z	49 \| good	9.235 \| good	29.596 \| good	7.122 \| good	0.428 \| good	9.183 \| good	0.431 \| good
2025-11-03T16:00:00.000Z	49 \| good	8.567 \| good	36.14 \| good	6.542 \| good	0.393 \| good	11.099 \| good	0.42 \| good
2025-11-03T17:00:00.000Z	33 \| good	5.994 \| good	24.598 \| good	13.182 \| good	0.31 \| good	6.86 \| good	0.345 \| good
2025-11-03T18:00:00.000Z	33 \| good	6.256 \| good	22.77 \| good	21.712 \| good	0.319 \| good	5.743 \| good	0.27 \| good
2025-11-03T19:00:00.000Z	38 \| good	6.7 \| good	32.493 \| good	27.689 \| good	0.29 \| good	4.425 \| good	0.249 \| good
2025-11-03T20:00:00.000Z	33 \| good	6.368 \| good	25.657 \| good	29.761 \| good	0.262 \| good	8.722 \| good	0.284 \| good
2025-11-03T21:00:00.000Z	34 \| good	5.46 \| good	17.889 \| good	37.1 \| good	0.305 \| good	11.602 \| good	0.263 \| good
2025-11-03T22:00:00.000Z	27 \| good	5.4 \| good	19.777 \| good	29.135 \| good	0.228 \| good	6.187 \| good	0.256 \| good
2025-11-03T23:00:00.000Z	29 \| good	5.411 \| good	19.134 \| good	30.818 \| good	0.227 \| good	4.29 \| good	0.254 \| good
2025-11-04T00:00:00.000Z	29 \| good	4.664 \| good	11.167 \| good	30.975 \| good	0.254 \| good	5.381 \| good	0.271 \| good
2025-11-04T01:00:00.000Z	27 \| good	5.077 \| good	16.801 \| good	27.199 \| good	0.299 \| good	5.05 \| good	0.281 \| good
2025-11-04T02:00:00.000Z	28 \| good	4.916 \| good	18.751 \| good	30.346 \| good	0.227 \| good	5.129 \| good	0.235 \| good
2025-11-04T03:00:00.000Z	27 \| good	4.145 \| good	14.757 \| good	29.368 \| good	0.349 \| good	3.608 \| good	0.14 \| good
2025-11-04T04:00:00.000Z	28 \| good	3.399 \| good	7.434 \| good	30.255 \| good	0.19 \| good	2.612 \| good	0.137 \| good
2025-11-04T05:00:00.000Z	28 \| good	2.791 \| good	9.903 \| good	30.396 \| good	0.323 \| good	2.646 \| good	0.116 \| good
2025-11-04T06:00:00.000Z	29 \| good	2.197 \| good	9.049 \| good	30.617 \| good	0.335 \| good	2.512 \| good	0.117 \| good
2025-11-04T07:00:00.000Z	29 \| good	1.948 \| good	8.309 \| good	31.001 \| good	0.368 \| good	1.919 \| good	0.1 \| good
2025-11-04T08:00:00.000Z	28 \| good	1.729 \| good	7.542 \| good	29.785 \| good	0.353 \| good	4.182 \| good	0.1 \| good
2025-11-04T09:00:00.000Z	29 \| good	1.697 \| good	4.861 \| good	31.102 \| good	0.382 \| good	5.547 \| good	0.1 \| good
2025-11-04T10:00:00.000Z	30 \| good	1.69 \| good	4.367 \| good	31.548 \| good	0.368 \| good	1.546 \| good	0.1 \| good
2025-11-04T11:00:00.000Z	28 \| good	1.731 \| good	2.644 \| good	30.007 \| good	0.306 \| good	1.597 \| good	0.1 \| good
2025-11-04T12:00:00.000Z	28 \| good	1.677 \| good	11.05 \| good	29.891 \| good	0.344 \| good	1.592 \| good	0.116 \| good
2025-11-04T13:00:00.000Z	28 \| good	1.98 \| good	7.771 \| good	29.563 \| good	0.344 \| good	7.016 \| good	0.116 \| good
2025-11-04T14:00:00.000Z	25 \| good	2.075 \| good	8.798 \| good	26.746 \| good	0.315 \| good	0.832 \| good	0.139 \| good
2025-11-04T15:00:00.000Z	25 \| good	2.075 \| good	8.798 \| good	26.746 \| good	0.315 \| good	0.832 \| good	0.139 \| good
2025-11-03T14:00:00.000Z	54 \| moderate	11.011 \| good	48.951 \| good	21.781 \| good	2.407 \| good	6.523 \| good	0.23 \| good
2025-11-03T15:00:00.000Z	56 \| moderate	12.272 \| fine	54.91 \| good	29.472 \| good	2.452 \| good	5.137 \| good	0.226 \| good
2025-11-03T16:00:00.000Z	52 \| moderate	10.394 \| good	45.826 \| good	33.188 \| good	2.343 \| good	4.3 \| good	0.2 \| good
2025-11-03T17:00:00.000Z	38 \| good	7.495 \| good	32.974 \| good	34.364 \| good	2.234 \| good	3.464 \| good	0.175 \| good
2025-11-03T18:00:00.000Z	33 \| good	6.182 \| good	27.132 \| good	32.182 \| good	2.124 \| good	2.628 \| good	0.149 \| good
2025-11-03T19:00:00.000Z	33 \| good	6.193 \| good	27.849 \| good	30.95 \| good	2.04 \| good	2.868 \| good	0.147 \| good
2025-11-03T20:00:00.000Z	33 \| good	5.795 \| good	25.048 \| good	31.715 \| good	1.956 \| good	3.107 \| good	0.145 \| good
2025-11-03T21:00:00.000Z	30 \| good	5.272 \| good	22.944 \| good	31.518 \| good	1.872 \| good	3.347 \| good	0.143 \| good
2025-11-03T22:00:00.000Z	31 \| good	4.855 \| good	20.953 \| good	33.014 \| good	2.003 \| good	3.378 \| good	0.147 \| good
2025-11-03T23:00:00.000Z	31 \| good	4.448 \| good	19.12 \| good	33.209 \| good	2.134 \| good	3.409 \| good	0.152 \| good
2025-11-04T00:00:00.000Z	27 \| good	3.344 \| good	14.908 \| good	29.088 \| good	2.265 \| good	3.44 \| good	0.156 \| good
2025-11-04T01:00:00.000Z	26 \| good	4.098 \| good	18.029 \| good	27.539 \| good	1.695 \| good	3.099 \| good	0.152 \| good
2025-11-04T02:00:00.000Z	25 \| good	3.627 \| good	15.965 \| good	26.697 \| good	1.125 \| good	2.757 \| good	0.148 \| good
2025-11-04T03:00:00.000Z	27 \| good	2.98 \| good	12.308 \| good	28.617 \| good	0.555 \| good	2.415 \| good	0.144 \| good
2025-11-04T04:00:00.000Z	26 \| good	3.004 \| good	12.074 \| good	27.837 \| good	0.51 \| good	2.101 \| good	0.14 \| good
2025-11-04T05:00:00.000Z	27 \| good	2.803 \| good	11.764 \| good	29.013 \| good	0.465 \| good	1.786 \| good	0.136 \| good
2025-11-04T06:00:00.000Z	26 \| good	1.774 \| good	7.082 \| good	28.258 \| good	0.42 \| good	1.472 \| good	0.132 \| good
2025-11-04T07:00:00.000Z	27 \| good	1.587 \| good	6.742 \| good	29.239 \| good	0.374 \| good	1.167 \| good	0.127 \| good
2025-11-04T08:00:00.000Z	27 \| good	2.156 \| good	8.855 \| good	29.014 \| good	0.328 \| good	0.863 \| good	0.122 \| good
2025-11-04T09:00:00.000Z	26 \| good	1.694 \| good	7 \| good	28.023 \| good	0.282 \| good	0.558 \| good	0.117 \| good
2025-11-04T10:00:00.000Z	25 \| good	1.733 \| good	7.048 \| good	26.873 \| good	0.282 \| good	0.673 \| good	0.118 \| good
2025-11-04T11:00:00.000Z	25 \| good	1.606 \| good	6.786 \| good	27.084 \| good	0.281 \| good	0.787 \| good	0.119 \| good
2025-11-04T12:00:00.000Z	26 \| good	1.738 \| good	7.026 \| good	27.732 \| good	0.281 \| good	0.902 \| good	0.12 \| good
2025-11-04T13:00:00.000Z	26 \| good	2.565 \| good	10.101 \| good	28.196 \| good	0.286 \| good	0.826 \| good	0.119 \| good
2025-11-04T14:00:00.000Z	27 \| good	2.258 \| good	9.048 \| good	29.244 \| good	0.291 \| good	0.749 \| good	0.118 \| good
2025-11-04T15:00:00.000Z	26 \| good	1.786 \| good	7.707 \| good	28.239 \| good	0.296 \| good	0.673 \| good	0.118 \| good
2025-11-04T16:00:00.000Z	24 \| good	1.782 \| good	7.742 \| good	25.814 \| good	0.314 \| good	0.719 \| good	0.116 \| good
2025-11-04T17:00:00.000Z	24 \| good	1.867 \| good	7.837 \| good	26.477 \| good	0.333 \| good	0.765 \| good	0.115 \| good
2025-11-04T18:00:00.000Z	25 \| good	2.575 \| good	10.752 \| good	27.272 \| good	0.351 \| good	0.811 \| good	0.113 \| good
2025-11-04T19:00:00.000Z	24 \| good	2.987 \| good	12 \| good	26.486 \| good	0.373 \| good	1.043 \| good	0.114 \| good
2025-11-04T20:00:00.000Z	21 \| good	3.19 \| good	14 \| good	23.431 \| good	0.395 \| good	1.276 \| good	0.115 \| good
2025-11-04T21:00:00.000Z	22 \| good	3.685 \| good	16 \| good	24.113 \| good	0.417 \| good	1.508 \| good	0.116 \| good
2025-11-04T22:00:00.000Z	27 \| good	4.958 \| good	21.171 \| good	26.036 \| good	0.487 \| good	1.945 \| good	0.119 \| good
2025-11-04T23:00:00.000Z	33 \| good	6.328 \| good	28.146 \| good	26.307 \| good	0.558 \| good	2.383 \| good	0.122 \| good
2025-11-05T00:00:00.000Z	27 \| good	5.487 \| good	23.324 \| good	26.496 \| good	0.628 \| good	2.82 \| good	0.126 \| good
2025-11-05T01:00:00.000Z	27 \| good	4.545 \| good	19.375 \| good	25.939 \| good	0.682 \| good	3.122 \| good	0.129 \| good
2025-11-05T02:00:00.000Z	27 \| good	4.573 \| good	20.035 \| good	20.947 \| good	0.735 \| good	3.424 \| good	0.132 \| good
2025-11-05T03:00:00.000Z	27 \| good	5.333 \| good	23.268 \| good	18.804 \| good	0.789 \| good	3.727 \| good	0.135 \| good
2025-11-05T04:00:00.000Z	27 \| good	4.796 \| good	21.177 \| good	18.847 \| good	0.787 \| good	3.945 \| good	0.138 \| good
2025-11-05T05:00:00.000Z	22 \| good	4.287 \| good	19.036 \| good	16.812 \| good	0.784 \| good	4.163 \| good	0.141 \| good
2025-11-05T06:00:00.000Z	23 \| good	3.946 \| good	4.402 \| good	24.687 \| good	0.784 \| good	4.398 \| good	0.144 \| good
2025-11-05T07:00:00.000Z	22 \| good	3.938 \| good	17.043 \| good	15.449 \| good	0.774 \| good	4.494 \| good	0.146 \| good
2025-11-05T08:00:00.000Z	22 \| good	3.91 \| good	17.043 \| good	16.08 \| good	0.766 \| good	4.608 \| good	0.148 \| good
2025-11-05T09:00:00.000Z	22 \| good	4.372 \| good	18.956 \| good	15.936 \| good	0.758 \| good	4.722 \| good	0.15 \| good
2025-11-05T10:00:00.000Z	27 \| good	5.33 \| good	22.929 \| good	16.503 \| good	0.788 \| good	5.762 \| good	0.161 \| good
2025-11-05T11:00:00.000Z	33 \| good	6.084 \| good	26.932 \| good	11.237 \| good	0.819 \| good	6.802 \| good	0.171 \| good
2025-11-05T12:00:00.000Z	38 \| good	6.956 \| good	7.37 \| good	14.809 \| good	0.85 \| good	7.891 \| good	0.182 \| good
2025-11-05T13:00:00.000Z	38 \| good	6.88 \| good	7.174 \| good	15.976 \| good	0.888 \| good	7.023 \| good	0.183 \| good

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

Common air pollutants in Schenectady, New York

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Schenectady, New York air quality forecast and history

Empower business decisions with accurate air quality data

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

Air quality in nearby cities

Rotterdam, New York

Niskayuna, New York

Guilderland, New York

Clifton Park, New York

Glenville, New York

Ballston, 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 Schenectady, New York updated?

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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