What are the current PM10 levels at Potsdam Town, New York?

The current PM10 levels in Potsdam Town, New York are 9.875 μg/m3.

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

The current sulfur dioxide (SO2) levels in Potsdam Town, New York are 0.784 ppb.

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

The current ozone (O3) levels at Potsdam Town, New York is 19.895 ppm.

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

The current nitrogen dioxide (NO2) levels at Potsdam Town, New York is 3.576 ppb.

Real-time air quality index in Potsdam Town, New York today

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

The measured PM2.5 levels in Potsdam Town, New York at present are 4.031 μg/m3.

Stay updated with real-time air quality in Potsdam Town, 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

Potsdam Town, New York

Last updated: ... (Local time)

Common air pollutants in Potsdam Town, New York

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

4.03 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

9.88 μg/m³

155

255

425

605+

Ozone (O₃)

19.89 ppb

201

201+

Sulfur Dioxide (SO₂)

0.78 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

3.58 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.17 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Potsdam Town, New York

Get Live Pollen Counts

Potsdam Town, New York

Scroll To Air Quality Map

Track live Potsdam Town, New York air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-09-27T02:00:00.000Z	38 \| good	6.506 \| good	27.718 \| good	27.558 \| good	4.326 \| good	4.266 \| good	0.189 \| good
2026-09-27T03:00:00.000Z	49 \| good	8.673 \| good	38.104 \| good	17.615 \| good	0.792 \| good	2.956 \| good	0.157 \| good
2026-09-27T04:00:00.000Z	27 \| good	5.058 \| good	18.062 \| good	22.646 \| good	0.964 \| good	2.642 \| good	0.159 \| good
2026-09-27T05:00:00.000Z	22 \| good	4.361 \| good	16.213 \| good	22.476 \| good	1.083 \| good	2.139 \| good	0.159 \| good
2026-09-27T06:00:00.000Z	33 \| good	5.594 \| good	27.684 \| good	20.274 \| good	0.925 \| good	1.825 \| good	0.189 \| good
2026-09-27T07:00:00.000Z	33 \| good	6.35 \| good	18.502 \| good	19.487 \| good	1 \| good	2.604 \| good	0.159 \| good
2026-09-27T08:00:00.000Z	27 \| good	4.852 \| good	22.365 \| good	20.321 \| good	1.168 \| good	3.163 \| good	0.159 \| good
2026-09-27T09:00:00.000Z	22 \| good	4.093 \| good	19.163 \| good	18.982 \| good	1.168 \| good	2.869 \| good	0.143 \| good
2026-09-27T10:00:00.000Z	22 \| good	4.164 \| good	17.927 \| good	19.936 \| good	0.883 \| good	1.779 \| good	0.173 \| good
2026-09-27T11:00:00.000Z	22 \| good	3.906 \| good	18.778 \| good	18.628 \| good	0.879 \| good	2.005 \| good	0.173 \| good
2026-09-27T12:00:00.000Z	22 \| good	4.003 \| good	17.714 \| good	18.548 \| good	0.652 \| good	3.015 \| good	0.173 \| good
2026-09-27T13:00:00.000Z	27 \| good	5.238 \| good	25.164 \| good	16.621 \| good	0.649 \| good	2.973 \| good	0.173 \| good
2026-09-27T14:00:00.000Z	27 \| good	5.067 \| good	22.38 \| good	21.749 \| good	1.222 \| good	1.701 \| good	0.173 \| good
2026-09-27T15:00:00.000Z	22 \| good	4.162 \| good	17.602 \| good	24.235 \| good	0.81 \| good	1.153 \| good	0.173 \| good
2026-09-27T16:00:00.000Z	22 \| good	4.34 \| good	18.695 \| good	24.478 \| good	0.542 \| good	1.327 \| good	0.173 \| good
2026-09-27T17:00:00.000Z	27 \| good	4.756 \| good	18.704 \| good	24.532 \| good	0.447 \| good	1.112 \| good	0.173 \| good
2026-09-27T18:00:00.000Z	26 \| good	4.086 \| good	18.847 \| good	27.57 \| good	0.406 \| good	1.189 \| good	0.173 \| good
2026-09-27T19:00:00.000Z	27 \| good	4.235 \| good	11.908 \| good	29.211 \| good	0.162 \| good	1.112 \| good	0.143 \| good
2026-09-27T20:00:00.000Z	29 \| good	4.125 \| good	14.403 \| good	31.295 \| good	0.308 \| good	1.367 \| good	0.143 \| good
2026-09-27T21:00:00.000Z	29 \| good	3.708 \| good	14.575 \| good	31.304 \| good	0.342 \| good	1.411 \| good	0.143 \| good
2026-09-27T22:00:00.000Z	30 \| good	3.632 \| good	14.667 \| good	31.706 \| good	0.387 \| good	1.56 \| good	0.143 \| good
2026-09-27T23:00:00.000Z	29 \| good	3.606 \| good	17.653 \| good	31.462 \| good	0.321 \| good	1.518 \| good	0.173 \| good
2026-09-28T00:00:00.000Z	29 \| good	3.74 \| good	14.071 \| good	30.69 \| good	0.24 \| good	1.551 \| good	0.173 \| good
2026-09-28T01:00:00.000Z	25 \| good	3.844 \| good	13.263 \| good	27.168 \| good	0.214 \| good	2.219 \| good	0.173 \| good
2026-09-28T02:00:00.000Z	25 \| good	3.732 \| good	11.909 \| good	27.453 \| good	0.188 \| good	1.88 \| good	0.173 \| good
2026-09-28T03:00:00.000Z	26 \| good	3.222 \| good	14.018 \| good	27.548 \| good	0.605 \| good	2.125 \| good	0.141 \| good
2026-09-28T04:00:00.000Z	23 \| good	3.857 \| good	17.443 \| good	25.326 \| good	0.322 \| good	1.408 \| good	0.173 \| good
2026-09-28T05:00:00.000Z	22 \| good	3.828 \| good	18.07 \| good	22.831 \| good	0.339 \| good	1.482 \| good	0.173 \| good
2026-09-28T06:00:00.000Z	22 \| good	3.878 \| good	16.504 \| good	18.518 \| good	0.307 \| good	1.616 \| good	0.129 \| good
2026-09-28T07:00:00.000Z	22 \| good	3.906 \| good	17.361 \| good	18.454 \| good	0.332 \| good	1.502 \| good	0.129 \| good
2026-09-28T08:00:00.000Z	22 \| good	3.942 \| good	17.184 \| good	16.961 \| good	0.351 \| good	1.751 \| good	0.129 \| good
2026-09-28T09:00:00.000Z	22 \| good	3.933 \| good	17.392 \| good	18.55 \| good	0.461 \| good	1.951 \| good	0.154 \| good
2026-09-28T10:00:00.000Z	22 \| good	3.968 \| good	17.572 \| good	16.875 \| good	0.294 \| good	1.856 \| good	0.159 \| good
2026-09-28T11:00:00.000Z	22 \| good	3.941 \| good	16.803 \| good	15.721 \| good	0.338 \| good	3.591 \| good	0.129 \| good
2026-09-28T12:00:00.000Z	22 \| good	3.882 \| good	16.464 \| good	20.233 \| good	0.381 \| good	4.244 \| good	0.173 \| good
2026-09-28T13:00:00.000Z	22 \| good	4.369 \| good	18.945 \| good	17.553 \| good	0.445 \| good	4.807 \| good	0.173 \| good
2026-09-28T14:00:00.000Z	22 \| good	4.338 \| good	20.249 \| good	18.021 \| good	0.327 \| good	3.953 \| good	0.173 \| good
2026-09-28T15:00:00.000Z	22 \| good	4.104 \| good	17.173 \| good	19.046 \| good	0.3 \| good	3.647 \| good	0.173 \| good
2026-09-28T16:00:00.000Z	22 \| good	4.261 \| good	18.114 \| good	18.98 \| good	0.275 \| good	2.958 \| good	0.173 \| good
2026-09-28T17:00:00.000Z	22 \| good	4.195 \| good	16.205 \| good	23.051 \| good	0.272 \| good	2.78 \| good	0.173 \| good
2026-09-28T18:00:00.000Z	22 \| good	3.966 \| good	14.289 \| good	22.968 \| good	0.384 \| good	1.915 \| good	0.173 \| good
2026-09-28T19:00:00.000Z	22 \| good	4.055 \| good	15.429 \| good	18.904 \| good	0.293 \| good	2.051 \| good	0.173 \| good
2026-09-28T20:00:00.000Z	27 \| good	4.511 \| good	16.37 \| good	20.769 \| good	0.549 \| good	2.228 \| good	0.173 \| good
2026-09-28T21:00:00.000Z	27 \| good	5.341 \| good	24.542 \| good	20.446 \| good	0.535 \| good	2.836 \| good	0.173 \| good
2026-09-28T22:00:00.000Z	27 \| good	4.978 \| good	22.876 \| good	21.092 \| good	1.219 \| good	2.512 \| good	0.173 \| good
2026-09-28T23:00:00.000Z	22 \| good	4.233 \| good	18.722 \| good	19.07 \| good	0.831 \| good	2.855 \| good	0.173 \| good
2026-09-29T00:00:00.000Z	22 \| good	4.031 \| good	9.875 \| good	19.895 \| good	0.784 \| good	3.576 \| good	0.173 \| good
2026-09-29T01:00:00.000Z	22 \| good	4.031 \| good	9.875 \| good	19.895 \| good	0.784 \| good	3.576 \| good	0.173 \| good
2026-09-29T02:00:00.000Z	33 \| good	5.91 \| good	26.584 \| good	16.953 \| good	0.882 \| good	4.015 \| good	0.17 \| good
2026-09-29T03:00:00.000Z	38 \| good	6.755 \| good	30.074 \| good	17.268 \| good	0.897 \| good	4.115 \| good	0.174 \| good
2026-09-29T04:00:00.000Z	38 \| good	7.138 \| good	31.809 \| good	16.782 \| good	0.901 \| good	4.145 \| good	0.175 \| good
2026-09-29T05:00:00.000Z	44 \| good	8.193 \| good	35.99 \| good	13.688 \| good	0.887 \| good	4.081 \| good	0.176 \| good
2026-09-29T06:00:00.000Z	38 \| good	7.366 \| good	32.747 \| good	13.376 \| good	0.873 \| good	3.942 \| good	0.174 \| good
2026-09-29T07:00:00.000Z	33 \| good	5.883 \| good	26.396 \| good	14.455 \| good	0.852 \| good	3.806 \| good	0.173 \| good
2026-09-29T08:00:00.000Z	27 \| good	4.881 \| good	20.936 \| good	14.009 \| good	0.837 \| good	3.68 \| good	0.171 \| good
2026-09-29T09:00:00.000Z	16 \| good	3.089 \| good	13.488 \| good	13.973 \| good	0.811 \| good	3.657 \| good	0.17 \| good
2026-09-29T10:00:00.000Z	12 \| good	2.461 \| good	9.919 \| good	12.548 \| good	0.772 \| good	3.613 \| good	0.168 \| good
2026-09-29T11:00:00.000Z	11 \| good	2.152 \| good	8.874 \| good	11.266 \| good	0.724 \| good	3.567 \| good	0.167 \| good
2026-09-29T12:00:00.000Z	12 \| good	1.551 \| good	6.073 \| good	12.95 \| good	0.679 \| good	3.492 \| good	0.166 \| good
2026-09-29T13:00:00.000Z	14 \| good	1.756 \| good	7.14 \| good	15.013 \| good	0.672 \| good	3.19 \| good	0.163 \| good
2026-09-29T14:00:00.000Z	15 \| good	1.835 \| good	7.757 \| good	15.915 \| good	0.699 \| good	2.63 \| good	0.158 \| good
2026-09-29T15:00:00.000Z	19 \| good	3.167 \| good	13.853 \| good	19.919 \| good	0.676 \| good	2.139 \| good	0.155 \| good
2026-09-29T16:00:00.000Z	24 \| good	4.489 \| good	19.188 \| good	26.468 \| good	0.653 \| good	1.658 \| good	0.151 \| good
2026-09-29T17:00:00.000Z	29 \| good	5.19 \| good	22.219 \| good	30.961 \| good	0.614 \| good	1.27 \| good	0.148 \| good
2026-09-29T18:00:00.000Z	33 \| good	5.553 \| good	23.938 \| good	33.479 \| good	0.559 \| good	1.043 \| good	0.145 \| good
2026-09-29T19:00:00.000Z	32 \| good	4.955 \| good	21.188 \| good	35.318 \| good	0.498 \| good	0.934 \| good	0.142 \| good
2026-09-29T20:00:00.000Z	32 \| good	4.455 \| good	19.185 \| good	34.768 \| good	0.451 \| good	0.923 \| good	0.141 \| good
2026-09-29T21:00:00.000Z	33 \| good	3.469 \| good	14.979 \| good	36.156 \| good	0.418 \| good	0.999 \| good	0.141 \| good
2026-09-29T22:00:00.000Z	31 \| good	2.411 \| good	9.979 \| good	33.905 \| good	0.392 \| good	1.446 \| good	0.144 \| good
2026-09-29T23:00:00.000Z	29 \| good	3.009 \| good	12.32 \| good	30.517 \| good	0.401 \| good	3.938 \| good	0.169 \| good
2026-09-30T00:00:00.000Z	28 \| good	5.183 \| good	22.286 \| good	30.291 \| good	0.407 \| good	4.946 \| good	0.181 \| good
2026-09-30T01:00:00.000Z	33 \| good	6.397 \| good	28.267 \| good	28.535 \| good	0.396 \| good	4.77 \| good	0.181 \| good
2026-09-30T02:00:00.000Z	33 \| good	6.244 \| good	27.335 \| good	26.376 \| good	0.378 \| good	4.13 \| good	0.174 \| good
2026-09-30T03:00:00.000Z	24 \| good	4.45 \| good	19.259 \| good	25.741 \| good	0.362 \| good	3.747 \| good	0.17 \| good
2026-09-30T04:00:00.000Z	24 \| good	3.311 \| good	14.111 \| good	26.014 \| good	0.343 \| good	3.457 \| good	0.167 \| good
2026-09-30T05:00:00.000Z	24 \| good	3.835 \| good	17.012 \| good	25.855 \| good	0.328 \| good	3.195 \| good	0.163 \| good
2026-09-30T06:00:00.000Z	21 \| good	3.385 \| good	15.005 \| good	23.015 \| good	0.317 \| good	2.877 \| good	0.159 \| good
2026-09-30T07:00:00.000Z	21 \| good	2.918 \| good	12.013 \| good	23.272 \| good	0.306 \| good	2.637 \| good	0.155 \| good
2026-09-30T08:00:00.000Z	21 \| good	2.441 \| good	10.009 \| good	23.361 \| good	0.297 \| good	2.509 \| good	0.153 \| good
2026-09-30T09:00:00.000Z	19 \| good	2.029 \| good	8.173 \| good	20.437 \| good	0.289 \| good	2.47 \| good	0.152 \| good
2026-09-30T10:00:00.000Z	20 \| good	1.712 \| good	7.099 \| good	22.048 \| good	0.282 \| good	2.398 \| good	0.151 \| good
2026-09-30T11:00:00.000Z	19 \| good	0.956 \| good	3.912 \| good	19.719 \| good	0.278 \| good	2.384 \| good	0.151 \| good
2026-09-30T12:00:00.000Z	18 \| good	0.236 \| good	0.927 \| good	19.462 \| good	0.266 \| good	2.439 \| good	0.155 \| good
2026-09-30T13:00:00.000Z	21 \| good	0.78 \| good	3.038 \| good	22.783 \| good	0.259 \| good	1.852 \| good	0.15 \| good
2026-09-30T14:00:00.000Z	24 \| good	1.598 \| good	6.199 \| good	25.822 \| good	0.264 \| good	1.218 \| good	0.139 \| good
2026-09-30T15:00:00.000Z	26 \| good	1.831 \| good	7.863 \| good	28.423 \| good	0.279 \| good	0.883 \| good	0.135 \| good
2026-09-30T16:00:00.000Z	27 \| good	2.176 \| good	9.017 \| good	29.428 \| good	0.275 \| good	0.713 \| good	0.133 \| good
2026-09-30T17:00:00.000Z	29 \| good	1.947 \| good	7.949 \| good	30.656 \| good	0.261 \| good	0.618 \| good	0.132 \| good
2026-09-30T18:00:00.000Z	29 \| good	0.771 \| good	2.973 \| good	30.831 \| good	0.242 \| good	0.536 \| good	0.131 \| good
2026-09-30T19:00:00.000Z	30 \| good	1.635 \| good	6.895 \| good	32.071 \| good	0.227 \| good	0.503 \| good	0.13 \| good
2026-09-30T20:00:00.000Z	30 \| good	1.73 \| good	7.031 \| good	32.434 \| good	0.219 \| good	0.497 \| good	0.13 \| good
2026-09-30T21:00:00.000Z	30 \| good	1.443 \| good	5.918 \| good	31.542 \| good	0.217 \| good	0.626 \| good	0.132 \| good
2026-09-30T22:00:00.000Z	26 \| good	1.011 \| good	3.951 \| good	28.202 \| good	0.211 \| good	1.457 \| good	0.142 \| good
2026-09-30T23:00:00.000Z	26 \| good	1.602 \| good	6.237 \| good	28.212 \| good	0.221 \| good	2.886 \| good	0.156 \| good
2026-10-01T00:00:00.000Z	27 \| good	3.168 \| good	13.864 \| good	28.879 \| good	0.224 \| good	3.174 \| good	0.16 \| good
2026-10-01T01:00:00.000Z	27 \| good	5.05 \| good	22.059 \| good	28.883 \| good	0.216 \| good	2.833 \| good	0.156 \| good

Potsdam town

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

0.21ppm

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

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Frequently asked questions

How frequently is the air quality data for Potsdam Town, New York updated?

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

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

The worst air quality in Potsdam Town, New York was recorded at 10:00:00 on 2026-09-28.

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

The best air quality in Potsdam Town, New York was recorded at 12:00:00 on 2026-09-29.

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

The real-time air quality index in Potsdam Town, New York is 22, currently categorized as Good.

Which pollutant is found most often in Potsdam Town, New York?

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

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

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

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

The measured PM_2.5 levels in Potsdam Town, New York at present are 4.031 μg/m³.

What are the current PM₁₀ levels at Potsdam Town, New York?

The current PM₁₀ levels in Potsdam Town, New York are 9.875 μg/m³.

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

The current carbon monoxide (CO) level in Potsdam Town, New York is 0.173 ppm.

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

The current sulfur dioxide (SO₂) levels in Potsdam Town, New York are 0.784 ppb.

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

The current ozone (O₃) levels at Potsdam Town, New York is 19.895 ppm.

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

The current nitrogen dioxide (NO₂) levels at Potsdam Town, New York is 3.576 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-09-27T02:00:00.000Z	38 \| good	6.506 \| good	27.718 \| good	27.558 \| good	4.326 \| good	4.266 \| good	0.189 \| good
2026-09-27T03:00:00.000Z	49 \| good	8.673 \| good	38.104 \| good	17.615 \| good	0.792 \| good	2.956 \| good	0.157 \| good
2026-09-27T04:00:00.000Z	27 \| good	5.058 \| good	18.062 \| good	22.646 \| good	0.964 \| good	2.642 \| good	0.159 \| good
2026-09-27T05:00:00.000Z	22 \| good	4.361 \| good	16.213 \| good	22.476 \| good	1.083 \| good	2.139 \| good	0.159 \| good
2026-09-27T06:00:00.000Z	33 \| good	5.594 \| good	27.684 \| good	20.274 \| good	0.925 \| good	1.825 \| good	0.189 \| good
2026-09-27T07:00:00.000Z	33 \| good	6.35 \| good	18.502 \| good	19.487 \| good	1 \| good	2.604 \| good	0.159 \| good
2026-09-27T08:00:00.000Z	27 \| good	4.852 \| good	22.365 \| good	20.321 \| good	1.168 \| good	3.163 \| good	0.159 \| good
2026-09-27T09:00:00.000Z	22 \| good	4.093 \| good	19.163 \| good	18.982 \| good	1.168 \| good	2.869 \| good	0.143 \| good
2026-09-27T10:00:00.000Z	22 \| good	4.164 \| good	17.927 \| good	19.936 \| good	0.883 \| good	1.779 \| good	0.173 \| good
2026-09-27T11:00:00.000Z	22 \| good	3.906 \| good	18.778 \| good	18.628 \| good	0.879 \| good	2.005 \| good	0.173 \| good
2026-09-27T12:00:00.000Z	22 \| good	4.003 \| good	17.714 \| good	18.548 \| good	0.652 \| good	3.015 \| good	0.173 \| good
2026-09-27T13:00:00.000Z	27 \| good	5.238 \| good	25.164 \| good	16.621 \| good	0.649 \| good	2.973 \| good	0.173 \| good
2026-09-27T14:00:00.000Z	27 \| good	5.067 \| good	22.38 \| good	21.749 \| good	1.222 \| good	1.701 \| good	0.173 \| good
2026-09-27T15:00:00.000Z	22 \| good	4.162 \| good	17.602 \| good	24.235 \| good	0.81 \| good	1.153 \| good	0.173 \| good
2026-09-27T16:00:00.000Z	22 \| good	4.34 \| good	18.695 \| good	24.478 \| good	0.542 \| good	1.327 \| good	0.173 \| good
2026-09-27T17:00:00.000Z	27 \| good	4.756 \| good	18.704 \| good	24.532 \| good	0.447 \| good	1.112 \| good	0.173 \| good
2026-09-27T18:00:00.000Z	26 \| good	4.086 \| good	18.847 \| good	27.57 \| good	0.406 \| good	1.189 \| good	0.173 \| good
2026-09-27T19:00:00.000Z	27 \| good	4.235 \| good	11.908 \| good	29.211 \| good	0.162 \| good	1.112 \| good	0.143 \| good
2026-09-27T20:00:00.000Z	29 \| good	4.125 \| good	14.403 \| good	31.295 \| good	0.308 \| good	1.367 \| good	0.143 \| good
2026-09-27T21:00:00.000Z	29 \| good	3.708 \| good	14.575 \| good	31.304 \| good	0.342 \| good	1.411 \| good	0.143 \| good
2026-09-27T22:00:00.000Z	30 \| good	3.632 \| good	14.667 \| good	31.706 \| good	0.387 \| good	1.56 \| good	0.143 \| good
2026-09-27T23:00:00.000Z	29 \| good	3.606 \| good	17.653 \| good	31.462 \| good	0.321 \| good	1.518 \| good	0.173 \| good
2026-09-28T00:00:00.000Z	29 \| good	3.74 \| good	14.071 \| good	30.69 \| good	0.24 \| good	1.551 \| good	0.173 \| good
2026-09-28T01:00:00.000Z	25 \| good	3.844 \| good	13.263 \| good	27.168 \| good	0.214 \| good	2.219 \| good	0.173 \| good
2026-09-28T02:00:00.000Z	25 \| good	3.732 \| good	11.909 \| good	27.453 \| good	0.188 \| good	1.88 \| good	0.173 \| good
2026-09-28T03:00:00.000Z	26 \| good	3.222 \| good	14.018 \| good	27.548 \| good	0.605 \| good	2.125 \| good	0.141 \| good
2026-09-28T04:00:00.000Z	23 \| good	3.857 \| good	17.443 \| good	25.326 \| good	0.322 \| good	1.408 \| good	0.173 \| good
2026-09-28T05:00:00.000Z	22 \| good	3.828 \| good	18.07 \| good	22.831 \| good	0.339 \| good	1.482 \| good	0.173 \| good
2026-09-28T06:00:00.000Z	22 \| good	3.878 \| good	16.504 \| good	18.518 \| good	0.307 \| good	1.616 \| good	0.129 \| good
2026-09-28T07:00:00.000Z	22 \| good	3.906 \| good	17.361 \| good	18.454 \| good	0.332 \| good	1.502 \| good	0.129 \| good
2026-09-28T08:00:00.000Z	22 \| good	3.942 \| good	17.184 \| good	16.961 \| good	0.351 \| good	1.751 \| good	0.129 \| good
2026-09-28T09:00:00.000Z	22 \| good	3.933 \| good	17.392 \| good	18.55 \| good	0.461 \| good	1.951 \| good	0.154 \| good
2026-09-28T10:00:00.000Z	22 \| good	3.968 \| good	17.572 \| good	16.875 \| good	0.294 \| good	1.856 \| good	0.159 \| good
2026-09-28T11:00:00.000Z	22 \| good	3.941 \| good	16.803 \| good	15.721 \| good	0.338 \| good	3.591 \| good	0.129 \| good
2026-09-28T12:00:00.000Z	22 \| good	3.882 \| good	16.464 \| good	20.233 \| good	0.381 \| good	4.244 \| good	0.173 \| good
2026-09-28T13:00:00.000Z	22 \| good	4.369 \| good	18.945 \| good	17.553 \| good	0.445 \| good	4.807 \| good	0.173 \| good
2026-09-28T14:00:00.000Z	22 \| good	4.338 \| good	20.249 \| good	18.021 \| good	0.327 \| good	3.953 \| good	0.173 \| good
2026-09-28T15:00:00.000Z	22 \| good	4.104 \| good	17.173 \| good	19.046 \| good	0.3 \| good	3.647 \| good	0.173 \| good
2026-09-28T16:00:00.000Z	22 \| good	4.261 \| good	18.114 \| good	18.98 \| good	0.275 \| good	2.958 \| good	0.173 \| good
2026-09-28T17:00:00.000Z	22 \| good	4.195 \| good	16.205 \| good	23.051 \| good	0.272 \| good	2.78 \| good	0.173 \| good
2026-09-28T18:00:00.000Z	22 \| good	3.966 \| good	14.289 \| good	22.968 \| good	0.384 \| good	1.915 \| good	0.173 \| good
2026-09-28T19:00:00.000Z	22 \| good	4.055 \| good	15.429 \| good	18.904 \| good	0.293 \| good	2.051 \| good	0.173 \| good
2026-09-28T20:00:00.000Z	27 \| good	4.511 \| good	16.37 \| good	20.769 \| good	0.549 \| good	2.228 \| good	0.173 \| good
2026-09-28T21:00:00.000Z	27 \| good	5.341 \| good	24.542 \| good	20.446 \| good	0.535 \| good	2.836 \| good	0.173 \| good
2026-09-28T22:00:00.000Z	27 \| good	4.978 \| good	22.876 \| good	21.092 \| good	1.219 \| good	2.512 \| good	0.173 \| good
2026-09-28T23:00:00.000Z	22 \| good	4.233 \| good	18.722 \| good	19.07 \| good	0.831 \| good	2.855 \| good	0.173 \| good
2026-09-29T00:00:00.000Z	22 \| good	4.031 \| good	9.875 \| good	19.895 \| good	0.784 \| good	3.576 \| good	0.173 \| good
2026-09-29T01:00:00.000Z	22 \| good	4.031 \| good	9.875 \| good	19.895 \| good	0.784 \| good	3.576 \| good	0.173 \| good
2026-09-29T02:00:00.000Z	33 \| good	5.91 \| good	26.584 \| good	16.953 \| good	0.882 \| good	4.015 \| good	0.17 \| good
2026-09-29T03:00:00.000Z	38 \| good	6.755 \| good	30.074 \| good	17.268 \| good	0.897 \| good	4.115 \| good	0.174 \| good
2026-09-29T04:00:00.000Z	38 \| good	7.138 \| good	31.809 \| good	16.782 \| good	0.901 \| good	4.145 \| good	0.175 \| good
2026-09-29T05:00:00.000Z	44 \| good	8.193 \| good	35.99 \| good	13.688 \| good	0.887 \| good	4.081 \| good	0.176 \| good
2026-09-29T06:00:00.000Z	38 \| good	7.366 \| good	32.747 \| good	13.376 \| good	0.873 \| good	3.942 \| good	0.174 \| good
2026-09-29T07:00:00.000Z	33 \| good	5.883 \| good	26.396 \| good	14.455 \| good	0.852 \| good	3.806 \| good	0.173 \| good
2026-09-29T08:00:00.000Z	27 \| good	4.881 \| good	20.936 \| good	14.009 \| good	0.837 \| good	3.68 \| good	0.171 \| good
2026-09-29T09:00:00.000Z	16 \| good	3.089 \| good	13.488 \| good	13.973 \| good	0.811 \| good	3.657 \| good	0.17 \| good
2026-09-29T10:00:00.000Z	12 \| good	2.461 \| good	9.919 \| good	12.548 \| good	0.772 \| good	3.613 \| good	0.168 \| good
2026-09-29T11:00:00.000Z	11 \| good	2.152 \| good	8.874 \| good	11.266 \| good	0.724 \| good	3.567 \| good	0.167 \| good
2026-09-29T12:00:00.000Z	12 \| good	1.551 \| good	6.073 \| good	12.95 \| good	0.679 \| good	3.492 \| good	0.166 \| good
2026-09-29T13:00:00.000Z	14 \| good	1.756 \| good	7.14 \| good	15.013 \| good	0.672 \| good	3.19 \| good	0.163 \| good
2026-09-29T14:00:00.000Z	15 \| good	1.835 \| good	7.757 \| good	15.915 \| good	0.699 \| good	2.63 \| good	0.158 \| good
2026-09-29T15:00:00.000Z	19 \| good	3.167 \| good	13.853 \| good	19.919 \| good	0.676 \| good	2.139 \| good	0.155 \| good
2026-09-29T16:00:00.000Z	24 \| good	4.489 \| good	19.188 \| good	26.468 \| good	0.653 \| good	1.658 \| good	0.151 \| good
2026-09-29T17:00:00.000Z	29 \| good	5.19 \| good	22.219 \| good	30.961 \| good	0.614 \| good	1.27 \| good	0.148 \| good
2026-09-29T18:00:00.000Z	33 \| good	5.553 \| good	23.938 \| good	33.479 \| good	0.559 \| good	1.043 \| good	0.145 \| good
2026-09-29T19:00:00.000Z	32 \| good	4.955 \| good	21.188 \| good	35.318 \| good	0.498 \| good	0.934 \| good	0.142 \| good
2026-09-29T20:00:00.000Z	32 \| good	4.455 \| good	19.185 \| good	34.768 \| good	0.451 \| good	0.923 \| good	0.141 \| good
2026-09-29T21:00:00.000Z	33 \| good	3.469 \| good	14.979 \| good	36.156 \| good	0.418 \| good	0.999 \| good	0.141 \| good
2026-09-29T22:00:00.000Z	31 \| good	2.411 \| good	9.979 \| good	33.905 \| good	0.392 \| good	1.446 \| good	0.144 \| good
2026-09-29T23:00:00.000Z	29 \| good	3.009 \| good	12.32 \| good	30.517 \| good	0.401 \| good	3.938 \| good	0.169 \| good
2026-09-30T00:00:00.000Z	28 \| good	5.183 \| good	22.286 \| good	30.291 \| good	0.407 \| good	4.946 \| good	0.181 \| good
2026-09-30T01:00:00.000Z	33 \| good	6.397 \| good	28.267 \| good	28.535 \| good	0.396 \| good	4.77 \| good	0.181 \| good
2026-09-30T02:00:00.000Z	33 \| good	6.244 \| good	27.335 \| good	26.376 \| good	0.378 \| good	4.13 \| good	0.174 \| good
2026-09-30T03:00:00.000Z	24 \| good	4.45 \| good	19.259 \| good	25.741 \| good	0.362 \| good	3.747 \| good	0.17 \| good
2026-09-30T04:00:00.000Z	24 \| good	3.311 \| good	14.111 \| good	26.014 \| good	0.343 \| good	3.457 \| good	0.167 \| good
2026-09-30T05:00:00.000Z	24 \| good	3.835 \| good	17.012 \| good	25.855 \| good	0.328 \| good	3.195 \| good	0.163 \| good
2026-09-30T06:00:00.000Z	21 \| good	3.385 \| good	15.005 \| good	23.015 \| good	0.317 \| good	2.877 \| good	0.159 \| good
2026-09-30T07:00:00.000Z	21 \| good	2.918 \| good	12.013 \| good	23.272 \| good	0.306 \| good	2.637 \| good	0.155 \| good
2026-09-30T08:00:00.000Z	21 \| good	2.441 \| good	10.009 \| good	23.361 \| good	0.297 \| good	2.509 \| good	0.153 \| good
2026-09-30T09:00:00.000Z	19 \| good	2.029 \| good	8.173 \| good	20.437 \| good	0.289 \| good	2.47 \| good	0.152 \| good
2026-09-30T10:00:00.000Z	20 \| good	1.712 \| good	7.099 \| good	22.048 \| good	0.282 \| good	2.398 \| good	0.151 \| good
2026-09-30T11:00:00.000Z	19 \| good	0.956 \| good	3.912 \| good	19.719 \| good	0.278 \| good	2.384 \| good	0.151 \| good
2026-09-30T12:00:00.000Z	18 \| good	0.236 \| good	0.927 \| good	19.462 \| good	0.266 \| good	2.439 \| good	0.155 \| good
2026-09-30T13:00:00.000Z	21 \| good	0.78 \| good	3.038 \| good	22.783 \| good	0.259 \| good	1.852 \| good	0.15 \| good
2026-09-30T14:00:00.000Z	24 \| good	1.598 \| good	6.199 \| good	25.822 \| good	0.264 \| good	1.218 \| good	0.139 \| good
2026-09-30T15:00:00.000Z	26 \| good	1.831 \| good	7.863 \| good	28.423 \| good	0.279 \| good	0.883 \| good	0.135 \| good
2026-09-30T16:00:00.000Z	27 \| good	2.176 \| good	9.017 \| good	29.428 \| good	0.275 \| good	0.713 \| good	0.133 \| good
2026-09-30T17:00:00.000Z	29 \| good	1.947 \| good	7.949 \| good	30.656 \| good	0.261 \| good	0.618 \| good	0.132 \| good
2026-09-30T18:00:00.000Z	29 \| good	0.771 \| good	2.973 \| good	30.831 \| good	0.242 \| good	0.536 \| good	0.131 \| good
2026-09-30T19:00:00.000Z	30 \| good	1.635 \| good	6.895 \| good	32.071 \| good	0.227 \| good	0.503 \| good	0.13 \| good
2026-09-30T20:00:00.000Z	30 \| good	1.73 \| good	7.031 \| good	32.434 \| good	0.219 \| good	0.497 \| good	0.13 \| good
2026-09-30T21:00:00.000Z	30 \| good	1.443 \| good	5.918 \| good	31.542 \| good	0.217 \| good	0.626 \| good	0.132 \| good
2026-09-30T22:00:00.000Z	26 \| good	1.011 \| good	3.951 \| good	28.202 \| good	0.211 \| good	1.457 \| good	0.142 \| good
2026-09-30T23:00:00.000Z	26 \| good	1.602 \| good	6.237 \| good	28.212 \| good	0.221 \| good	2.886 \| good	0.156 \| good
2026-10-01T00:00:00.000Z	27 \| good	3.168 \| good	13.864 \| good	28.879 \| good	0.224 \| good	3.174 \| good	0.16 \| good
2026-10-01T01:00:00.000Z	27 \| good	5.05 \| good	22.059 \| good	28.883 \| good	0.216 \| good	2.833 \| good	0.156 \| good

Real-time air quality index in Potsdam Town, New York today

Common air pollutants in Potsdam Town, New York

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Potsdam Town, New York air quality forecast and history

Empower business decisions with accurate air quality data

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

Air quality in nearby cities

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Air quality levels in US

Frequently asked questions

How frequently is the air quality data for Potsdam Town, New York updated?

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

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

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

Which pollutant is found most often in Potsdam Town, New York?

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

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

What are the current PM10 levels at Potsdam Town, New York?

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

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

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

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

What are the current PM₁₀ levels at Potsdam Town, New York?

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

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

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