What is the current concentration of PM10 in German Flatts, New York?

The current PM10 concentration at German Flatts, New York is 23.888 μg/m3.

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

The current sulfur dioxide (SO2) concentration at German Flatts, New York is 0.372 ppb.

What is the current concentration of ozone (O3) in German Flatts, New York?

The current ozone (O3) concentration at German Flatts, New York is 35.654 ppm.

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

The current nitrogen dioxide (NO2) concentration at German Flatts, New York is 2.382 ppb.

German Flatts, New York live air quality index now

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

The current PM2.5 concentration at German Flatts, New York is 4.998 μg/m3.

Stay updated with real-time air quality in German Flatts, 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

German Flatts, New York

Last updated: ... (Local time)

Major air pollutants in German Flatts, New York

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

5.00 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

23.89 μg/m³

155

255

425

605+

Ozone (O₃)

35.65 ppb

201

201+

Sulfur Dioxide (SO₂)

0.37 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

2.38 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.12 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

German Flatts, New York

Get Live Pollen Counts

German Flatts, New York

Scroll To Air Quality Map

Track live German Flatts, New York air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-01-22T06:00:00.000Z	38 \| good	6.577 \| good	31.71 \| good	30.449 \| good	0.546 \| good	5.435 \| good	0.197 \| good
2026-01-22T07:00:00.000Z	44 \| good	8.093 \| good	28.544 \| good	33.752 \| good	0.546 \| good	4.467 \| good	0.197 \| good
2026-01-22T08:00:00.000Z	49 \| good	8.687 \| good	25.773 \| good	28.719 \| good	0.527 \| good	4.651 \| good	0.197 \| good
2026-01-22T09:00:00.000Z	44 \| good	7.715 \| good	28.5 \| good	26.31 \| good	0.544 \| good	4.257 \| good	0.201 \| good
2026-01-22T10:00:00.000Z	38 \| good	7.419 \| good	34.172 \| good	26.643 \| good	0.544 \| good	4.841 \| good	0.176 \| good
2026-01-22T11:00:00.000Z	44 \| good	8.044 \| good	31.038 \| good	29.208 \| good	0.475 \| good	5.088 \| good	0.272 \| good
2026-01-22T12:00:00.000Z	44 \| good	7.641 \| good	33.786 \| good	31.687 \| good	0.389 \| good	5.741 \| good	0.333 \| good
2026-01-22T13:00:00.000Z	49 \| good	9.168 \| good	39.774 \| good	29.294 \| good	0.334 \| good	4.064 \| good	0.333 \| good
2026-01-22T14:00:00.000Z	49 \| good	8.692 \| good	36.444 \| good	31.681 \| good	0.433 \| good	5.59 \| good	0.371 \| good
2026-01-22T15:00:00.000Z	54 \| moderate	10.632 \| good	39.031 \| good	25.983 \| good	0.391 \| good	6.061 \| good	0.391 \| good
2026-01-22T16:00:00.000Z	52 \| moderate	10.03 \| good	39.281 \| good	27.115 \| good	0.434 \| good	4.793 \| good	0.353 \| good
2026-01-22T17:00:00.000Z	52 \| moderate	9.754 \| good	49.302 \| good	29.929 \| good	0.426 \| good	4.067 \| good	0.316 \| good
2026-01-22T18:00:00.000Z	49 \| good	8.616 \| good	37.541 \| good	32.236 \| good	0.367 \| good	3.805 \| good	0.255 \| good
2026-01-22T19:00:00.000Z	44 \| good	8.381 \| good	46.148 \| good	33.575 \| good	0.261 \| good	2.947 \| good	0.255 \| good
2026-01-22T20:00:00.000Z	38 \| good	7.398 \| good	37.277 \| good	36.207 \| good	0.229 \| good	2.623 \| good	0.234 \| good
2026-01-22T21:00:00.000Z	44 \| good	7.971 \| good	36.855 \| good	36.666 \| good	0.206 \| good	3.255 \| good	0.273 \| good
2026-01-22T22:00:00.000Z	44 \| good	7.946 \| good	31.308 \| good	36.43 \| good	0.206 \| good	4.811 \| good	0.273 \| good
2026-01-22T23:00:00.000Z	38 \| good	7.36 \| good	28.336 \| good	37.036 \| good	0.217 \| good	6.97 \| good	0.33 \| good
2026-01-23T00:00:00.000Z	44 \| good	7.827 \| good	33.331 \| good	35.799 \| good	0.199 \| good	5.318 \| good	0.311 \| good
2026-01-23T01:00:00.000Z	44 \| good	8.087 \| good	28.857 \| good	35.915 \| good	0.255 \| good	4.219 \| good	0.237 \| good
2026-01-23T02:00:00.000Z	49 \| good	8.911 \| good	40.457 \| good	35.479 \| good	0.315 \| good	4.614 \| good	0.253 \| good
2026-01-23T03:00:00.000Z	49 \| good	9.222 \| good	37.685 \| good	34.249 \| good	0.353 \| good	4.011 \| good	0.27 \| good
2026-01-23T04:00:00.000Z	49 \| good	9.475 \| good	22.862 \| good	35.565 \| good	0.289 \| good	2.525 \| good	0.324 \| good
2026-01-23T05:00:00.000Z	38 \| good	7.383 \| good	22.679 \| good	35.695 \| good	0.237 \| good	4.944 \| good	0.27 \| good
2026-01-23T06:00:00.000Z	49 \| good	8.691 \| good	33.346 \| good	32.358 \| good	0.158 \| good	3.429 \| good	0.177 \| good
2026-01-23T07:00:00.000Z	40 \| good	7.298 \| good	43.448 \| good	32.798 \| good	0.283 \| good	2.99 \| good	0.177 \| good
2026-01-23T08:00:00.000Z	33 \| good	6.391 \| good	29.086 \| good	33.278 \| good	0.14 \| good	2.994 \| good	0.196 \| good
2026-01-23T09:00:00.000Z	33 \| good	6.186 \| good	23.324 \| good	30.256 \| good	0.204 \| good	4.644 \| good	0.214 \| good
2026-01-23T10:00:00.000Z	33 \| good	6.229 \| good	26.772 \| good	33.219 \| good	0.2 \| good	4.2 \| good	0.196 \| good
2026-01-23T11:00:00.000Z	38 \| good	6.754 \| good	26.951 \| good	28.581 \| good	0.224 \| good	3.115 \| good	0.215 \| good
2026-01-23T12:00:00.000Z	38 \| good	7.069 \| good	26.351 \| good	29.862 \| good	0.204 \| good	3.869 \| good	0.271 \| good
2026-01-23T13:00:00.000Z	38 \| good	6.59 \| good	28.659 \| good	33.598 \| good	0.205 \| good	5.241 \| good	0.271 \| good
2026-01-23T14:00:00.000Z	38 \| good	6.95 \| good	28.058 \| good	29.566 \| good	0.277 \| good	12.631 \| good	0.309 \| good
2026-01-23T15:00:00.000Z	44 \| good	7.704 \| good	30.711 \| good	33.523 \| good	0.222 \| good	9.296 \| good	0.273 \| good
2026-01-23T16:00:00.000Z	38 \| good	7.449 \| good	37.923 \| good	34.579 \| good	0.219 \| good	4.244 \| good	0.255 \| good
2026-01-23T17:00:00.000Z	33 \| good	6.064 \| good	26.912 \| good	32.937 \| good	0.217 \| good	2.888 \| good	0.216 \| good
2026-01-23T18:00:00.000Z	38 \| good	6.673 \| good	24.721 \| good	37.439 \| good	0.217 \| good	2.427 \| good	0.216 \| good
2026-01-23T19:00:00.000Z	38 \| good	6.98 \| good	25.228 \| good	33.931 \| good	0.24 \| good	2.651 \| good	0.236 \| good
2026-01-23T20:00:00.000Z	38 \| good	7.195 \| good	31.749 \| good	32.492 \| good	0.236 \| good	1.759 \| good	0.216 \| good
2026-01-23T21:00:00.000Z	36 \| good	6.242 \| good	24.041 \| good	39.107 \| good	0.214 \| good	3.149 \| good	0.198 \| good
2026-01-23T22:00:00.000Z	38 \| good	7.034 \| good	26.206 \| good	38.762 \| good	0.164 \| good	2.292 \| good	0.198 \| good
2026-01-23T23:00:00.000Z	49 \| good	8.547 \| good	36.434 \| good	36.046 \| good	0.324 \| good	3.005 \| good	0.178 \| good
2026-01-24T00:00:00.000Z	52 \| moderate	9.576 \| good	44.115 \| good	37.168 \| good	0.303 \| good	3.053 \| good	0.14 \| good
2026-01-24T01:00:00.000Z	49 \| good	9.357 \| good	27.096 \| good	37.911 \| good	0.323 \| good	2.711 \| good	0.14 \| good
2026-01-24T02:00:00.000Z	49 \| good	9.203 \| good	31.932 \| good	36.649 \| good	0.324 \| good	2.518 \| good	0.12 \| good
2026-01-24T03:00:00.000Z	33 \| good	6.132 \| good	18.57 \| good	34.794 \| good	0.374 \| good	2.839 \| good	0.12 \| good
2026-01-24T04:00:00.000Z	33 \| good	6.196 \| good	20.686 \| good	35.192 \| good	0.335 \| good	2.781 \| good	0.12 \| good
2026-01-24T05:00:00.000Z	33 \| good	4.998 \| good	23.888 \| good	35.654 \| good	0.372 \| good	2.382 \| good	0.12 \| good
2026-01-24T05:00:00.000Z	33 \| good	4.998 \| good	23.888 \| good	35.654 \| good	0.372 \| good	2.382 \| good	0.12 \| good
2026-01-24T06:00:00.000Z	33 \| good	6.379 \| good	28.696 \| good	28.884 \| good	0.136 \| good	0.753 \| good	0.143 \| good
2026-01-24T07:00:00.000Z	27 \| good	5.407 \| good	23.102 \| good	26.8 \| good	0.124 \| good	0.667 \| good	0.143 \| good
2026-01-24T08:00:00.000Z	27 \| good	4.64 \| good	20.102 \| good	24.799 \| good	0.112 \| good	0.581 \| good	0.142 \| good
2026-01-24T09:00:00.000Z	33 \| good	5.588 \| good	23.906 \| good	23.586 \| good	0.1 \| good	0.495 \| good	0.141 \| good
2026-01-24T10:00:00.000Z	33 \| good	6.36 \| good	28.319 \| good	22.912 \| good	0.096 \| good	0.596 \| good	0.142 \| good
2026-01-24T11:00:00.000Z	38 \| good	7.189 \| good	31.467 \| good	22.485 \| good	0.092 \| good	0.697 \| good	0.143 \| good
2026-01-24T12:00:00.000Z	38 \| good	6.923 \| good	30.949 \| good	22.215 \| good	0.088 \| good	0.798 \| good	0.144 \| good
2026-01-24T13:00:00.000Z	27 \| good	5.043 \| good	21.728 \| good	25.142 \| good	0.098 \| good	0.756 \| good	0.146 \| good
2026-01-24T14:00:00.000Z	27 \| good	4.838 \| good	20.8 \| good	28.364 \| good	0.109 \| good	0.714 \| good	0.147 \| good
2026-01-24T15:00:00.000Z	29 \| good	3.995 \| good	17.599 \| good	30.565 \| good	0.119 \| good	0.672 \| good	0.149 \| good
2026-01-24T16:00:00.000Z	29 \| good	2.944 \| good	12 \| good	31.137 \| good	0.129 \| good	0.602 \| good	0.148 \| good
2026-01-24T17:00:00.000Z	29 \| good	1.843 \| good	7.967 \| good	30.634 \| good	0.138 \| good	0.532 \| good	0.146 \| good
2026-01-24T18:00:00.000Z	28 \| good	2.579 \| good	10.158 \| good	30.239 \| good	0.148 \| good	0.462 \| good	0.145 \| good
2026-01-24T19:00:00.000Z	28 \| good	2.807 \| good	11.684 \| good	30.362 \| good	0.141 \| good	0.55 \| good	0.144 \| good
2026-01-24T20:00:00.000Z	28 \| good	3.416 \| good	15.055 \| good	30.436 \| good	0.135 \| good	0.639 \| good	0.143 \| good
2026-01-24T21:00:00.000Z	28 \| good	3.592 \| good	15.93 \| good	30.103 \| good	0.128 \| good	0.727 \| good	0.143 \| good
2026-01-24T22:00:00.000Z	27 \| good	4.887 \| good	21.102 \| good	28.347 \| good	0.14 \| good	1.621 \| good	0.15 \| good
2026-01-24T23:00:00.000Z	27 \| good	4.758 \| good	20.722 \| good	26.912 \| good	0.152 \| good	2.515 \| good	0.158 \| good
2026-01-25T00:00:00.000Z	27 \| good	5.436 \| good	23.526 \| good	24.693 \| good	0.164 \| good	3.409 \| good	0.166 \| good
2026-01-25T01:00:00.000Z	27 \| good	5.07 \| good	21.768 \| good	23.402 \| good	0.22 \| good	3.998 \| good	0.173 \| good
2026-01-25T02:00:00.000Z	27 \| good	5.297 \| good	22.757 \| good	22.82 \| good	0.276 \| good	4.587 \| good	0.18 \| good
2026-01-25T03:00:00.000Z	33 \| good	6.22 \| good	27.808 \| good	21.834 \| good	0.332 \| good	5.176 \| good	0.188 \| good
2026-01-25T04:00:00.000Z	27 \| good	4.81 \| good	21.029 \| good	21.253 \| good	0.327 \| good	5.141 \| good	0.188 \| good
2026-01-25T05:00:00.000Z	38 \| good	7.139 \| good	31.479 \| good	21.453 \| good	0.323 \| good	5.105 \| good	0.188 \| good
2026-01-25T06:00:00.000Z	44 \| good	8.131 \| good	35.566 \| good	21.53 \| good	0.318 \| good	5.069 \| good	0.188 \| good
2026-01-25T07:00:00.000Z	38 \| good	7.094 \| good	31.502 \| good	21.346 \| good	0.282 \| good	4.598 \| good	0.183 \| good
2026-01-25T08:00:00.000Z	38 \| good	7.168 \| good	31.569 \| good	21.271 \| good	0.245 \| good	4.126 \| good	0.179 \| good
2026-01-25T09:00:00.000Z	38 \| good	6.799 \| good	30.321 \| good	21.922 \| good	0.208 \| good	3.654 \| good	0.175 \| good
2026-01-25T10:00:00.000Z	44 \| good	7.828 \| good	34.279 \| good	22.545 \| good	0.184 \| good	3.466 \| good	0.173 \| good
2026-01-25T11:00:00.000Z	44 \| good	7.691 \| good	33.964 \| good	23.174 \| good	0.159 \| good	3.278 \| good	0.17 \| good
2026-01-25T12:00:00.000Z	38 \| good	6.564 \| good	29.112 \| good	23.663 \| good	0.135 \| good	3.091 \| good	0.168 \| good
2026-01-25T13:00:00.000Z	33 \| good	6.186 \| good	27.18 \| good	24.535 \| good	0.141 \| good	2.586 \| good	0.162 \| good
2026-01-25T14:00:00.000Z	33 \| good	6.193 \| good	27.159 \| good	25.417 \| good	0.148 \| good	2.081 \| good	0.156 \| good
2026-01-25T15:00:00.000Z	27 \| good	4.941 \| good	21.18 \| good	26.3 \| good	0.154 \| good	1.576 \| good	0.15 \| good
2026-01-25T16:00:00.000Z	25 \| good	3.435 \| good	15.109 \| good	26.871 \| good	0.21 \| good	1.737 \| good	0.151 \| good
2026-01-25T17:00:00.000Z	26 \| good	3.448 \| good	15.091 \| good	27.558 \| good	0.266 \| good	1.898 \| good	0.151 \| good
2026-01-25T18:00:00.000Z	26 \| good	3.342 \| good	14.842 \| good	27.966 \| good	0.323 \| good	2.059 \| good	0.151 \| good
2026-01-25T19:00:00.000Z	33 \| good	5.604 \| good	23.985 \| good	29.076 \| good	0.351 \| good	2.781 \| good	0.156 \| good
2026-01-25T20:00:00.000Z	38 \| good	7.034 \| good	31.112 \| good	29.128 \| good	0.378 \| good	3.504 \| good	0.161 \| good
2026-01-25T21:00:00.000Z	49 \| good	8.741 \| good	38.406 \| good	29.022 \| good	0.406 \| good	4.226 \| good	0.166 \| good
2026-01-25T22:00:00.000Z	49 \| good	8.529 \| good	37.137 \| good	28.845 \| good	0.387 \| good	4.035 \| good	0.163 \| good
2026-01-25T23:00:00.000Z	44 \| good	8.258 \| good	36.068 \| good	29.721 \| good	0.367 \| good	3.843 \| good	0.16 \| good
2026-01-26T00:00:00.000Z	44 \| good	8.299 \| good	36.125 \| good	29.429 \| good	0.348 \| good	3.651 \| good	0.156 \| good
2026-01-26T01:00:00.000Z	44 \| good	7.516 \| good	33.112 \| good	30.132 \| good	0.333 \| good	3.342 \| good	0.154 \| good
2026-01-26T02:00:00.000Z	44 \| good	7.936 \| good	34.808 \| good	30.822 \| good	0.319 \| good	3.033 \| good	0.152 \| good
2026-01-26T03:00:00.000Z	49 \| good	8.73 \| good	38.068 \| good	30.944 \| good	0.304 \| good	2.724 \| good	0.15 \| good
2026-01-26T04:00:00.000Z	38 \| good	7.073 \| good	31.112 \| good	30.871 \| good	0.28 \| good	2.561 \| good	0.15 \| good
2026-01-26T05:00:00.000Z	54 \| moderate	10.604 \| good	47.062 \| good	30.82 \| good	0.256 \| good	2.398 \| good	0.149 \| good

German Flatts

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German Flatts, New York air quality map: Track AQI near you

0.14ppm

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 German Flatts, New York updated?

The air quality for German Flatts, New York is updated every hour.

When was the worst air quality at German Flatts, New York in the last 24 hrs?

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

When was the best air quality at German Flatts, New York in the last 24 hrs?

In the last 24 hrs, the best air quality in German Flatts, New York was observed at 04:00:00 on 2026-01-24.

What is the current air quality in German Flatts, New York?

The current air quality in German Flatts, New York is 33, categorized as Good based on real-time data.

What pollutant is the most common in German Flatts, New York?

The most common pollutant in German Flatts, New York is O3.

What should I do if the air quality in German Flatts, New York is poor?

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

What is the current concentration of PM_2.5 in German Flatts, New York?

The current PM_2.5 concentration at German Flatts, New York is 4.998 μg/m³.

What is the current concentration of PM₁₀ in German Flatts, New York?

The current PM₁₀ concentration at German Flatts, New York is 23.888 μg/m³.

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

The current carbon monoxide (CO) concentration at German Flatts, New York is 0.12 ppm.

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

The current sulfur dioxide (SO₂) concentration at German Flatts, New York is 0.372 ppb.

What is the current concentration of ozone (O₃) in German Flatts, New York?

The current ozone (O₃) concentration at German Flatts, New York is 35.654 ppm.

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

The current nitrogen dioxide (NO₂) concentration at German Flatts, New York is 2.382 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-01-22T06:00:00.000Z	38 \| good	6.577 \| good	31.71 \| good	30.449 \| good	0.546 \| good	5.435 \| good	0.197 \| good
2026-01-22T07:00:00.000Z	44 \| good	8.093 \| good	28.544 \| good	33.752 \| good	0.546 \| good	4.467 \| good	0.197 \| good
2026-01-22T08:00:00.000Z	49 \| good	8.687 \| good	25.773 \| good	28.719 \| good	0.527 \| good	4.651 \| good	0.197 \| good
2026-01-22T09:00:00.000Z	44 \| good	7.715 \| good	28.5 \| good	26.31 \| good	0.544 \| good	4.257 \| good	0.201 \| good
2026-01-22T10:00:00.000Z	38 \| good	7.419 \| good	34.172 \| good	26.643 \| good	0.544 \| good	4.841 \| good	0.176 \| good
2026-01-22T11:00:00.000Z	44 \| good	8.044 \| good	31.038 \| good	29.208 \| good	0.475 \| good	5.088 \| good	0.272 \| good
2026-01-22T12:00:00.000Z	44 \| good	7.641 \| good	33.786 \| good	31.687 \| good	0.389 \| good	5.741 \| good	0.333 \| good
2026-01-22T13:00:00.000Z	49 \| good	9.168 \| good	39.774 \| good	29.294 \| good	0.334 \| good	4.064 \| good	0.333 \| good
2026-01-22T14:00:00.000Z	49 \| good	8.692 \| good	36.444 \| good	31.681 \| good	0.433 \| good	5.59 \| good	0.371 \| good
2026-01-22T15:00:00.000Z	54 \| moderate	10.632 \| good	39.031 \| good	25.983 \| good	0.391 \| good	6.061 \| good	0.391 \| good
2026-01-22T16:00:00.000Z	52 \| moderate	10.03 \| good	39.281 \| good	27.115 \| good	0.434 \| good	4.793 \| good	0.353 \| good
2026-01-22T17:00:00.000Z	52 \| moderate	9.754 \| good	49.302 \| good	29.929 \| good	0.426 \| good	4.067 \| good	0.316 \| good
2026-01-22T18:00:00.000Z	49 \| good	8.616 \| good	37.541 \| good	32.236 \| good	0.367 \| good	3.805 \| good	0.255 \| good
2026-01-22T19:00:00.000Z	44 \| good	8.381 \| good	46.148 \| good	33.575 \| good	0.261 \| good	2.947 \| good	0.255 \| good
2026-01-22T20:00:00.000Z	38 \| good	7.398 \| good	37.277 \| good	36.207 \| good	0.229 \| good	2.623 \| good	0.234 \| good
2026-01-22T21:00:00.000Z	44 \| good	7.971 \| good	36.855 \| good	36.666 \| good	0.206 \| good	3.255 \| good	0.273 \| good
2026-01-22T22:00:00.000Z	44 \| good	7.946 \| good	31.308 \| good	36.43 \| good	0.206 \| good	4.811 \| good	0.273 \| good
2026-01-22T23:00:00.000Z	38 \| good	7.36 \| good	28.336 \| good	37.036 \| good	0.217 \| good	6.97 \| good	0.33 \| good
2026-01-23T00:00:00.000Z	44 \| good	7.827 \| good	33.331 \| good	35.799 \| good	0.199 \| good	5.318 \| good	0.311 \| good
2026-01-23T01:00:00.000Z	44 \| good	8.087 \| good	28.857 \| good	35.915 \| good	0.255 \| good	4.219 \| good	0.237 \| good
2026-01-23T02:00:00.000Z	49 \| good	8.911 \| good	40.457 \| good	35.479 \| good	0.315 \| good	4.614 \| good	0.253 \| good
2026-01-23T03:00:00.000Z	49 \| good	9.222 \| good	37.685 \| good	34.249 \| good	0.353 \| good	4.011 \| good	0.27 \| good
2026-01-23T04:00:00.000Z	49 \| good	9.475 \| good	22.862 \| good	35.565 \| good	0.289 \| good	2.525 \| good	0.324 \| good
2026-01-23T05:00:00.000Z	38 \| good	7.383 \| good	22.679 \| good	35.695 \| good	0.237 \| good	4.944 \| good	0.27 \| good
2026-01-23T06:00:00.000Z	49 \| good	8.691 \| good	33.346 \| good	32.358 \| good	0.158 \| good	3.429 \| good	0.177 \| good
2026-01-23T07:00:00.000Z	40 \| good	7.298 \| good	43.448 \| good	32.798 \| good	0.283 \| good	2.99 \| good	0.177 \| good
2026-01-23T08:00:00.000Z	33 \| good	6.391 \| good	29.086 \| good	33.278 \| good	0.14 \| good	2.994 \| good	0.196 \| good
2026-01-23T09:00:00.000Z	33 \| good	6.186 \| good	23.324 \| good	30.256 \| good	0.204 \| good	4.644 \| good	0.214 \| good
2026-01-23T10:00:00.000Z	33 \| good	6.229 \| good	26.772 \| good	33.219 \| good	0.2 \| good	4.2 \| good	0.196 \| good
2026-01-23T11:00:00.000Z	38 \| good	6.754 \| good	26.951 \| good	28.581 \| good	0.224 \| good	3.115 \| good	0.215 \| good
2026-01-23T12:00:00.000Z	38 \| good	7.069 \| good	26.351 \| good	29.862 \| good	0.204 \| good	3.869 \| good	0.271 \| good
2026-01-23T13:00:00.000Z	38 \| good	6.59 \| good	28.659 \| good	33.598 \| good	0.205 \| good	5.241 \| good	0.271 \| good
2026-01-23T14:00:00.000Z	38 \| good	6.95 \| good	28.058 \| good	29.566 \| good	0.277 \| good	12.631 \| good	0.309 \| good
2026-01-23T15:00:00.000Z	44 \| good	7.704 \| good	30.711 \| good	33.523 \| good	0.222 \| good	9.296 \| good	0.273 \| good
2026-01-23T16:00:00.000Z	38 \| good	7.449 \| good	37.923 \| good	34.579 \| good	0.219 \| good	4.244 \| good	0.255 \| good
2026-01-23T17:00:00.000Z	33 \| good	6.064 \| good	26.912 \| good	32.937 \| good	0.217 \| good	2.888 \| good	0.216 \| good
2026-01-23T18:00:00.000Z	38 \| good	6.673 \| good	24.721 \| good	37.439 \| good	0.217 \| good	2.427 \| good	0.216 \| good
2026-01-23T19:00:00.000Z	38 \| good	6.98 \| good	25.228 \| good	33.931 \| good	0.24 \| good	2.651 \| good	0.236 \| good
2026-01-23T20:00:00.000Z	38 \| good	7.195 \| good	31.749 \| good	32.492 \| good	0.236 \| good	1.759 \| good	0.216 \| good
2026-01-23T21:00:00.000Z	36 \| good	6.242 \| good	24.041 \| good	39.107 \| good	0.214 \| good	3.149 \| good	0.198 \| good
2026-01-23T22:00:00.000Z	38 \| good	7.034 \| good	26.206 \| good	38.762 \| good	0.164 \| good	2.292 \| good	0.198 \| good
2026-01-23T23:00:00.000Z	49 \| good	8.547 \| good	36.434 \| good	36.046 \| good	0.324 \| good	3.005 \| good	0.178 \| good
2026-01-24T00:00:00.000Z	52 \| moderate	9.576 \| good	44.115 \| good	37.168 \| good	0.303 \| good	3.053 \| good	0.14 \| good
2026-01-24T01:00:00.000Z	49 \| good	9.357 \| good	27.096 \| good	37.911 \| good	0.323 \| good	2.711 \| good	0.14 \| good
2026-01-24T02:00:00.000Z	49 \| good	9.203 \| good	31.932 \| good	36.649 \| good	0.324 \| good	2.518 \| good	0.12 \| good
2026-01-24T03:00:00.000Z	33 \| good	6.132 \| good	18.57 \| good	34.794 \| good	0.374 \| good	2.839 \| good	0.12 \| good
2026-01-24T04:00:00.000Z	33 \| good	6.196 \| good	20.686 \| good	35.192 \| good	0.335 \| good	2.781 \| good	0.12 \| good
2026-01-24T05:00:00.000Z	33 \| good	4.998 \| good	23.888 \| good	35.654 \| good	0.372 \| good	2.382 \| good	0.12 \| good
2026-01-24T05:00:00.000Z	33 \| good	4.998 \| good	23.888 \| good	35.654 \| good	0.372 \| good	2.382 \| good	0.12 \| good
2026-01-24T06:00:00.000Z	33 \| good	6.379 \| good	28.696 \| good	28.884 \| good	0.136 \| good	0.753 \| good	0.143 \| good
2026-01-24T07:00:00.000Z	27 \| good	5.407 \| good	23.102 \| good	26.8 \| good	0.124 \| good	0.667 \| good	0.143 \| good
2026-01-24T08:00:00.000Z	27 \| good	4.64 \| good	20.102 \| good	24.799 \| good	0.112 \| good	0.581 \| good	0.142 \| good
2026-01-24T09:00:00.000Z	33 \| good	5.588 \| good	23.906 \| good	23.586 \| good	0.1 \| good	0.495 \| good	0.141 \| good
2026-01-24T10:00:00.000Z	33 \| good	6.36 \| good	28.319 \| good	22.912 \| good	0.096 \| good	0.596 \| good	0.142 \| good
2026-01-24T11:00:00.000Z	38 \| good	7.189 \| good	31.467 \| good	22.485 \| good	0.092 \| good	0.697 \| good	0.143 \| good
2026-01-24T12:00:00.000Z	38 \| good	6.923 \| good	30.949 \| good	22.215 \| good	0.088 \| good	0.798 \| good	0.144 \| good
2026-01-24T13:00:00.000Z	27 \| good	5.043 \| good	21.728 \| good	25.142 \| good	0.098 \| good	0.756 \| good	0.146 \| good
2026-01-24T14:00:00.000Z	27 \| good	4.838 \| good	20.8 \| good	28.364 \| good	0.109 \| good	0.714 \| good	0.147 \| good
2026-01-24T15:00:00.000Z	29 \| good	3.995 \| good	17.599 \| good	30.565 \| good	0.119 \| good	0.672 \| good	0.149 \| good
2026-01-24T16:00:00.000Z	29 \| good	2.944 \| good	12 \| good	31.137 \| good	0.129 \| good	0.602 \| good	0.148 \| good
2026-01-24T17:00:00.000Z	29 \| good	1.843 \| good	7.967 \| good	30.634 \| good	0.138 \| good	0.532 \| good	0.146 \| good
2026-01-24T18:00:00.000Z	28 \| good	2.579 \| good	10.158 \| good	30.239 \| good	0.148 \| good	0.462 \| good	0.145 \| good
2026-01-24T19:00:00.000Z	28 \| good	2.807 \| good	11.684 \| good	30.362 \| good	0.141 \| good	0.55 \| good	0.144 \| good
2026-01-24T20:00:00.000Z	28 \| good	3.416 \| good	15.055 \| good	30.436 \| good	0.135 \| good	0.639 \| good	0.143 \| good
2026-01-24T21:00:00.000Z	28 \| good	3.592 \| good	15.93 \| good	30.103 \| good	0.128 \| good	0.727 \| good	0.143 \| good
2026-01-24T22:00:00.000Z	27 \| good	4.887 \| good	21.102 \| good	28.347 \| good	0.14 \| good	1.621 \| good	0.15 \| good
2026-01-24T23:00:00.000Z	27 \| good	4.758 \| good	20.722 \| good	26.912 \| good	0.152 \| good	2.515 \| good	0.158 \| good
2026-01-25T00:00:00.000Z	27 \| good	5.436 \| good	23.526 \| good	24.693 \| good	0.164 \| good	3.409 \| good	0.166 \| good
2026-01-25T01:00:00.000Z	27 \| good	5.07 \| good	21.768 \| good	23.402 \| good	0.22 \| good	3.998 \| good	0.173 \| good
2026-01-25T02:00:00.000Z	27 \| good	5.297 \| good	22.757 \| good	22.82 \| good	0.276 \| good	4.587 \| good	0.18 \| good
2026-01-25T03:00:00.000Z	33 \| good	6.22 \| good	27.808 \| good	21.834 \| good	0.332 \| good	5.176 \| good	0.188 \| good
2026-01-25T04:00:00.000Z	27 \| good	4.81 \| good	21.029 \| good	21.253 \| good	0.327 \| good	5.141 \| good	0.188 \| good
2026-01-25T05:00:00.000Z	38 \| good	7.139 \| good	31.479 \| good	21.453 \| good	0.323 \| good	5.105 \| good	0.188 \| good
2026-01-25T06:00:00.000Z	44 \| good	8.131 \| good	35.566 \| good	21.53 \| good	0.318 \| good	5.069 \| good	0.188 \| good
2026-01-25T07:00:00.000Z	38 \| good	7.094 \| good	31.502 \| good	21.346 \| good	0.282 \| good	4.598 \| good	0.183 \| good
2026-01-25T08:00:00.000Z	38 \| good	7.168 \| good	31.569 \| good	21.271 \| good	0.245 \| good	4.126 \| good	0.179 \| good
2026-01-25T09:00:00.000Z	38 \| good	6.799 \| good	30.321 \| good	21.922 \| good	0.208 \| good	3.654 \| good	0.175 \| good
2026-01-25T10:00:00.000Z	44 \| good	7.828 \| good	34.279 \| good	22.545 \| good	0.184 \| good	3.466 \| good	0.173 \| good
2026-01-25T11:00:00.000Z	44 \| good	7.691 \| good	33.964 \| good	23.174 \| good	0.159 \| good	3.278 \| good	0.17 \| good
2026-01-25T12:00:00.000Z	38 \| good	6.564 \| good	29.112 \| good	23.663 \| good	0.135 \| good	3.091 \| good	0.168 \| good
2026-01-25T13:00:00.000Z	33 \| good	6.186 \| good	27.18 \| good	24.535 \| good	0.141 \| good	2.586 \| good	0.162 \| good
2026-01-25T14:00:00.000Z	33 \| good	6.193 \| good	27.159 \| good	25.417 \| good	0.148 \| good	2.081 \| good	0.156 \| good
2026-01-25T15:00:00.000Z	27 \| good	4.941 \| good	21.18 \| good	26.3 \| good	0.154 \| good	1.576 \| good	0.15 \| good
2026-01-25T16:00:00.000Z	25 \| good	3.435 \| good	15.109 \| good	26.871 \| good	0.21 \| good	1.737 \| good	0.151 \| good
2026-01-25T17:00:00.000Z	26 \| good	3.448 \| good	15.091 \| good	27.558 \| good	0.266 \| good	1.898 \| good	0.151 \| good
2026-01-25T18:00:00.000Z	26 \| good	3.342 \| good	14.842 \| good	27.966 \| good	0.323 \| good	2.059 \| good	0.151 \| good
2026-01-25T19:00:00.000Z	33 \| good	5.604 \| good	23.985 \| good	29.076 \| good	0.351 \| good	2.781 \| good	0.156 \| good
2026-01-25T20:00:00.000Z	38 \| good	7.034 \| good	31.112 \| good	29.128 \| good	0.378 \| good	3.504 \| good	0.161 \| good
2026-01-25T21:00:00.000Z	49 \| good	8.741 \| good	38.406 \| good	29.022 \| good	0.406 \| good	4.226 \| good	0.166 \| good
2026-01-25T22:00:00.000Z	49 \| good	8.529 \| good	37.137 \| good	28.845 \| good	0.387 \| good	4.035 \| good	0.163 \| good
2026-01-25T23:00:00.000Z	44 \| good	8.258 \| good	36.068 \| good	29.721 \| good	0.367 \| good	3.843 \| good	0.16 \| good
2026-01-26T00:00:00.000Z	44 \| good	8.299 \| good	36.125 \| good	29.429 \| good	0.348 \| good	3.651 \| good	0.156 \| good
2026-01-26T01:00:00.000Z	44 \| good	7.516 \| good	33.112 \| good	30.132 \| good	0.333 \| good	3.342 \| good	0.154 \| good
2026-01-26T02:00:00.000Z	44 \| good	7.936 \| good	34.808 \| good	30.822 \| good	0.319 \| good	3.033 \| good	0.152 \| good
2026-01-26T03:00:00.000Z	49 \| good	8.73 \| good	38.068 \| good	30.944 \| good	0.304 \| good	2.724 \| good	0.15 \| good
2026-01-26T04:00:00.000Z	38 \| good	7.073 \| good	31.112 \| good	30.871 \| good	0.28 \| good	2.561 \| good	0.15 \| good
2026-01-26T05:00:00.000Z	54 \| moderate	10.604 \| good	47.062 \| good	30.82 \| good	0.256 \| good	2.398 \| good	0.149 \| good

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Major air pollutants in German Flatts, 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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Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

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