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

The current PM10 concentration at German Flatts, New York is 18.506 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 0.429 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 25.495 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 3.877 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 2.627 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)

1.79 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

9.45 μg/m³

155

255

425

605+

Ozone (O₃)

27.08 ppb

201

201+

Sulfur Dioxide (SO₂)

0.31 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

3.62 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.22 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
2026-11-11T02:00:00.000Z	44 \| good	7.753 \| good	35.817 \| good	33.191 \| good	0.384 \| good	2.009 \| good	0.337 \| good
2026-11-11T03:00:00.000Z	39 \| good	6.674 \| good	42.392 \| good	27.38 \| good	0.437 \| good	1.456 \| good	0.352 \| good
2026-11-11T04:00:00.000Z	28 \| good	3.967 \| good	24.336 \| good	29.794 \| good	0.345 \| good	2.172 \| good	0.342 \| good
2026-11-11T05:00:00.000Z	30 \| good	3.697 \| good	23.842 \| good	31.874 \| good	0.32 \| good	2.11 \| good	0.335 \| good
2026-11-11T06:00:00.000Z	27 \| good	3.16 \| good	11.848 \| good	29.283 \| good	0.313 \| good	2.346 \| good	0.293 \| good
2026-11-11T07:00:00.000Z	22 \| good	3.151 \| good	18.098 \| good	23.916 \| good	0.312 \| good	1.683 \| good	0.293 \| good
2026-11-11T08:00:00.000Z	20 \| good	2.646 \| good	10.723 \| good	22.317 \| good	0.331 \| good	2.554 \| good	0.282 \| good
2026-11-11T09:00:00.000Z	20 \| good	2.102 \| good	12.364 \| good	22.307 \| good	0.187 \| good	2.839 \| good	0.197 \| good
2026-11-11T10:00:00.000Z	23 \| good	2.628 \| good	18.845 \| good	24.61 \| good	0.249 \| good	3.396 \| good	0.182 \| good
2026-11-11T11:00:00.000Z	21 \| good	2.634 \| good	13.343 \| good	23.175 \| good	0.293 \| good	3.415 \| good	0.202 \| good
2026-11-11T12:00:00.000Z	19 \| good	3.42 \| good	21.021 \| good	18.502 \| good	0.31 \| good	5.199 \| good	0.298 \| good
2026-11-11T13:00:00.000Z	22 \| good	3.618 \| good	16.667 \| good	16.659 \| good	0.352 \| good	5.269 \| good	0.297 \| good
2026-11-11T14:00:00.000Z	44 \| good	8.188 \| good	43.54 \| good	17.258 \| good	1.004 \| good	7.144 \| good	0.366 \| good
2026-11-11T15:00:00.000Z	38 \| good	6.515 \| good	33.782 \| good	20.824 \| good	0.897 \| good	4.45 \| good	0.327 \| good
2026-11-11T16:00:00.000Z	38 \| good	6.886 \| good	37.082 \| good	20.057 \| good	1.061 \| good	3.471 \| good	0.5 \| good
2026-11-11T17:00:00.000Z	23 \| good	4.321 \| good	23.129 \| good	24.614 \| good	0.373 \| good	2.526 \| good	0.217 \| good
2026-11-11T18:00:00.000Z	21 \| good	1.794 \| good	9.374 \| good	23.207 \| good	0.375 \| good	1.487 \| good	0.241 \| good
2026-11-11T19:00:00.000Z	29 \| good	1.774 \| good	7.557 \| good	31.362 \| good	0.164 \| good	1.451 \| good	0.221 \| good
2026-11-11T20:00:00.000Z	31 \| good	1.913 \| good	8.853 \| good	34.392 \| good	0.345 \| good	1.438 \| good	0.202 \| good
2026-11-11T21:00:00.000Z	30 \| good	2.459 \| good	10.612 \| good	31.857 \| good	0.265 \| good	2.298 \| good	0.261 \| good
2026-11-11T22:00:00.000Z	25 \| good	3.062 \| good	15.407 \| good	26.694 \| good	0.27 \| good	3.851 \| good	0.265 \| good
2026-11-11T23:00:00.000Z	23 \| good	3.881 \| good	20.478 \| good	25.362 \| good	0.346 \| good	6.64 \| good	0.313 \| good
2026-11-12T00:00:00.000Z	27 \| good	4.684 \| good	18.205 \| good	25.98 \| good	0.348 \| good	8.289 \| good	0.314 \| good
2026-11-12T01:00:00.000Z	27 \| good	5.382 \| good	26.569 \| good	25.067 \| good	0.365 \| good	11.263 \| good	0.334 \| good
2026-11-12T02:00:00.000Z	27 \| good	4.588 \| good	11.861 \| good	19.818 \| good	0.374 \| good	8.935 \| good	0.334 \| good
2026-11-12T03:00:00.000Z	22 \| good	4.318 \| good	18.603 \| good	19.237 \| good	0.426 \| good	11.535 \| good	0.353 \| good
2026-11-12T04:00:00.000Z	22 \| good	3.962 \| good	22.335 \| good	18.99 \| good	0.413 \| good	5.41 \| good	0.337 \| good
2026-11-12T05:00:00.000Z	27 \| good	5.416 \| good	24.288 \| good	15.293 \| good	0.412 \| good	4.264 \| good	0.334 \| good
2026-11-12T06:00:00.000Z	33 \| good	5.952 \| good	23.663 \| good	15.824 \| good	0.332 \| good	5.103 \| good	0.323 \| good
2026-11-12T07:00:00.000Z	33 \| good	5.612 \| good	24.082 \| good	14.189 \| good	0.332 \| good	5.473 \| good	0.323 \| good
2026-11-12T08:00:00.000Z	27 \| good	4.527 \| good	19.959 \| good	7.974 \| good	0.432 \| good	5.249 \| good	0.319 \| good
2026-11-12T09:00:00.000Z	33 \| good	5.788 \| good	31.134 \| good	12.675 \| good	0.429 \| good	5.224 \| good	0.339 \| good
2026-11-12T10:00:00.000Z	27 \| good	4.917 \| good	21.826 \| good	15.73 \| good	0.393 \| good	3.96 \| good	0.338 \| good
2026-11-12T11:00:00.000Z	33 \| good	5.542 \| good	27.963 \| good	16.008 \| good	0.443 \| good	4.473 \| good	0.275 \| good
2026-11-12T12:00:00.000Z	27 \| good	4.745 \| good	21.616 \| good	13.392 \| good	0.556 \| good	4.724 \| good	0.318 \| good
2026-11-12T13:00:00.000Z	27 \| good	4.988 \| good	26.061 \| good	15.684 \| good	0.602 \| good	4.368 \| good	0.318 \| good
2026-11-12T14:00:00.000Z	25 \| good	4.121 \| good	27.124 \| good	15.58 \| good	0.354 \| good	5.119 \| good	0.262 \| good
2026-11-12T15:00:00.000Z	22 \| good	3.403 \| good	24.213 \| good	17.433 \| good	0.349 \| good	5.02 \| good	0.265 \| good
2026-11-12T16:00:00.000Z	22 \| good	4.013 \| good	16.945 \| good	18.912 \| good	0.331 \| good	3.678 \| good	0.245 \| good
2026-11-12T17:00:00.000Z	17 \| good	3.304 \| good	15.164 \| good	17.882 \| good	0.355 \| good	3.06 \| good	0.265 \| good
2026-11-12T18:00:00.000Z	19 \| good	3.185 \| good	11.794 \| good	20.278 \| good	0.161 \| good	2.978 \| good	0.284 \| good
2026-11-12T19:00:00.000Z	19 \| good	2.403 \| good	11.581 \| good	21.432 \| good	0.336 \| good	2.946 \| good	0.26 \| good
2026-11-12T20:00:00.000Z	18 \| good	1.825 \| good	14.04 \| good	19.196 \| good	0.484 \| good	2.779 \| good	0.284 \| good
2026-11-12T21:00:00.000Z	27 \| good	1.486 \| good	12.882 \| good	28.713 \| good	0.471 \| good	3.002 \| good	0.284 \| good
2026-11-12T22:00:00.000Z	22 \| good	1.562 \| good	8.844 \| good	23.745 \| good	0.471 \| good	2.585 \| good	0.245 \| good
2026-11-12T23:00:00.000Z	23 \| good	1.534 \| good	12.509 \| good	24.947 \| good	0.511 \| good	2.298 \| good	0.269 \| good
2026-11-13T00:00:00.000Z	25 \| good	1.787 \| good	9.446 \| good	27.079 \| good	0.314 \| good	3.622 \| good	0.221 \| good
2026-11-13T01:00:00.000Z	23 \| good	2.627 \| good	18.506 \| good	25.495 \| good	0.429 \| good	3.877 \| good	0.221 \| good
2026-11-13T01:00:00.000Z	25 \| good	1.787 \| good	9.446 \| good	27.079 \| good	0.314 \| good	3.622 \| good	0.221 \| good
2026-11-13T02:00:00.000Z	33 \| good	5.912 \| good	26.019 \| good	28.683 \| good	0.335 \| good	2.41 \| good	0.181 \| good
2026-11-13T03:00:00.000Z	26 \| good	3.528 \| good	15.669 \| good	27.589 \| good	0.377 \| good	2.331 \| good	0.18 \| good
2026-11-13T04:00:00.000Z	25 \| good	2.825 \| good	11.785 \| good	26.683 \| good	0.426 \| good	2.223 \| good	0.177 \| good
2026-11-13T05:00:00.000Z	24 \| good	2.984 \| good	12.268 \| good	25.973 \| good	0.46 \| good	2.045 \| good	0.173 \| good
2026-11-13T06:00:00.000Z	22 \| good	2.85 \| good	11.703 \| good	24.028 \| good	0.455 \| good	1.88 \| good	0.17 \| good
2026-11-13T07:00:00.000Z	22 \| good	4.041 \| good	17.853 \| good	23.067 \| good	0.441 \| good	1.706 \| good	0.166 \| good
2026-11-13T08:00:00.000Z	27 \| good	4.746 \| good	20.796 \| good	22.387 \| good	0.407 \| good	1.653 \| good	0.163 \| good
2026-11-13T09:00:00.000Z	38 \| good	6.561 \| good	29.433 \| good	23.284 \| good	0.397 \| good	1.521 \| good	0.16 \| good
2026-11-13T10:00:00.000Z	27 \| good	5.234 \| good	22.75 \| good	23.12 \| good	0.375 \| good	1.489 \| good	0.157 \| good
2026-11-13T11:00:00.000Z	27 \| good	5.491 \| good	23.726 \| good	22.914 \| good	0.362 \| good	1.623 \| good	0.156 \| good
2026-11-13T12:00:00.000Z	33 \| good	6.216 \| good	27.772 \| good	22.049 \| good	0.373 \| good	1.747 \| good	0.155 \| good
2026-11-13T13:00:00.000Z	38 \| good	6.739 \| good	29.976 \| good	20.88 \| good	0.387 \| good	1.964 \| good	0.156 \| good
2026-11-13T14:00:00.000Z	27 \| good	5.004 \| good	21.575 \| good	21.832 \| good	0.429 \| good	1.731 \| good	0.153 \| good
2026-11-13T15:00:00.000Z	20 \| good	2.885 \| good	11.698 \| good	21.851 \| good	0.437 \| good	1.404 \| good	0.148 \| good
2026-11-13T16:00:00.000Z	21 \| good	1.146 \| good	4.344 \| good	23.02 \| good	0.411 \| good	1.126 \| good	0.144 \| good
2026-11-13T17:00:00.000Z	22 \| good	0.548 \| good	2.245 \| good	24.227 \| good	0.375 \| good	0.971 \| good	0.141 \| good
2026-11-13T18:00:00.000Z	23 \| good	0.294 \| good	1.257 \| good	24.982 \| good	0.332 \| good	0.892 \| good	0.138 \| good
2026-11-13T19:00:00.000Z	23 \| good	0.596 \| good	2.109 \| good	25.016 \| good	0.283 \| good	0.846 \| good	0.136 \| good
2026-11-13T20:00:00.000Z	24 \| good	1.06 \| good	4.171 \| good	25.736 \| good	0.228 \| good	0.847 \| good	0.135 \| good
2026-11-13T21:00:00.000Z	23 \| good	0.209 \| good	0.372 \| good	24.966 \| good	0.17 \| good	0.954 \| good	0.136 \| good
2026-11-13T22:00:00.000Z	22 \| good	0.286 \| good	1.055 \| good	23.856 \| good	0.131 \| good	1.292 \| good	0.139 \| good
2026-11-13T23:00:00.000Z	21 \| good	0.835 \| good	3 \| good	23.336 \| good	0.115 \| good	1.464 \| good	0.142 \| good
2026-11-14T00:00:00.000Z	20 \| good	1.712 \| good	7.056 \| good	21.763 \| good	0.117 \| good	1.499 \| good	0.144 \| good
2026-11-14T01:00:00.000Z	22 \| good	4.074 \| good	17.773 \| good	19.902 \| good	0.135 \| good	1.491 \| good	0.144 \| good
2026-11-14T02:00:00.000Z	22 \| good	4.022 \| good	17.705 \| good	18.244 \| good	0.16 \| good	1.567 \| good	0.145 \| good
2026-11-14T03:00:00.000Z	16 \| good	0.793 \| good	3 \| good	17.403 \| good	0.183 \| good	1.658 \| good	0.146 \| good
2026-11-14T04:00:00.000Z	16 \| good	0.925 \| good	3.852 \| good	16.549 \| good	0.197 \| good	1.758 \| good	0.146 \| good
2026-11-14T05:00:00.000Z	15 \| good	1.781 \| good	7.18 \| good	16.085 \| good	0.203 \| good	1.845 \| good	0.147 \| good
2026-11-14T06:00:00.000Z	14 \| good	1.037 \| good	4 \| good	14.665 \| good	0.208 \| good	1.865 \| good	0.147 \| good
2026-11-14T07:00:00.000Z	13 \| good	0.703 \| good	2.82 \| good	14.312 \| good	0.208 \| good	1.904 \| good	0.147 \| good
2026-11-14T08:00:00.000Z	13 \| good	1.149 \| good	4.943 \| good	13.956 \| good	0.204 \| good	1.911 \| good	0.147 \| good
2026-11-14T09:00:00.000Z	13 \| good	1.672 \| good	6.909 \| good	13.61 \| good	0.196 \| good	1.913 \| good	0.148 \| good
2026-11-14T10:00:00.000Z	12 \| good	1.53 \| good	6.084 \| good	13.246 \| good	0.184 \| good	1.964 \| good	0.148 \| good
2026-11-14T11:00:00.000Z	16 \| good	3.372 \| good	14.677 \| good	11.911 \| good	0.176 \| good	2.146 \| good	0.15 \| good
2026-11-14T12:00:00.000Z	33 \| good	5.782 \| good	24.969 \| good	12.607 \| good	0.175 \| good	2.526 \| good	0.154 \| good
2026-11-14T13:00:00.000Z	49 \| good	8.907 \| good	39.052 \| good	15.723 \| good	0.168 \| good	1.955 \| good	0.151 \| good
2026-11-14T14:00:00.000Z	33 \| good	5.946 \| good	26.34 \| good	20.092 \| good	0.153 \| good	1.218 \| good	0.144 \| good
2026-11-14T15:00:00.000Z	20 \| good	1.049 \| good	4 \| good	22.482 \| good	0.121 \| good	0.733 \| good	0.137 \| good
2026-11-14T16:00:00.000Z	21 \| good	0.509 \| good	2 \| good	23.492 \| good	0.083 \| good	0.489 \| good	0.132 \| good
2026-11-14T17:00:00.000Z	22 \| good	0.289 \| good	1.033 \| good	23.671 \| good	0.066 \| good	0.429 \| good	0.131 \| good
2026-11-14T18:00:00.000Z	22 \| good	0.383 \| good	1.572 \| good	23.905 \| good	0.056 \| good	0.43 \| good	0.13 \| good
2026-11-14T19:00:00.000Z	22 \| good	1.316 \| good	5.08 \| good	23.545 \| good	0.052 \| good	0.479 \| good	0.13 \| good
2026-11-14T20:00:00.000Z	23 \| good	3.235 \| good	14.081 \| good	24.617 \| good	0.051 \| good	0.546 \| good	0.131 \| good
2026-11-14T21:00:00.000Z	23 \| good	2.445 \| good	9.872 \| good	24.727 \| good	0.054 \| good	0.688 \| good	0.133 \| good
2026-11-14T22:00:00.000Z	22 \| good	1.145 \| good	4.638 \| good	24.271 \| good	0.064 \| good	1.121 \| good	0.137 \| good
2026-11-14T23:00:00.000Z	22 \| good	0.915 \| good	3.932 \| good	23.706 \| good	0.078 \| good	1.496 \| good	0.142 \| good
2026-11-15T00:00:00.000Z	19 \| good	2.45 \| good	10.069 \| good	20.708 \| good	0.093 \| good	1.754 \| good	0.145 \| good
2026-11-15T01:00:00.000Z	22 \| good	4.008 \| good	17.621 \| good	18.833 \| good	0.107 \| good	1.976 \| good	0.147 \| good

German Flatts

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

0.28ppm

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 11:00:00 on 2026-11-12.

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 05:00:00 on 2026-11-12.

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

The current air quality in German Flatts, New York is 23, 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 2.627 μg/m³.

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

The current PM₁₀ concentration at German Flatts, New York is 18.506 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 0.221 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 0.429 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 25.495 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 3.877 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-11-11T02:00:00.000Z	44 \| good	7.753 \| good	35.817 \| good	33.191 \| good	0.384 \| good	2.009 \| good	0.337 \| good
2026-11-11T03:00:00.000Z	39 \| good	6.674 \| good	42.392 \| good	27.38 \| good	0.437 \| good	1.456 \| good	0.352 \| good
2026-11-11T04:00:00.000Z	28 \| good	3.967 \| good	24.336 \| good	29.794 \| good	0.345 \| good	2.172 \| good	0.342 \| good
2026-11-11T05:00:00.000Z	30 \| good	3.697 \| good	23.842 \| good	31.874 \| good	0.32 \| good	2.11 \| good	0.335 \| good
2026-11-11T06:00:00.000Z	27 \| good	3.16 \| good	11.848 \| good	29.283 \| good	0.313 \| good	2.346 \| good	0.293 \| good
2026-11-11T07:00:00.000Z	22 \| good	3.151 \| good	18.098 \| good	23.916 \| good	0.312 \| good	1.683 \| good	0.293 \| good
2026-11-11T08:00:00.000Z	20 \| good	2.646 \| good	10.723 \| good	22.317 \| good	0.331 \| good	2.554 \| good	0.282 \| good
2026-11-11T09:00:00.000Z	20 \| good	2.102 \| good	12.364 \| good	22.307 \| good	0.187 \| good	2.839 \| good	0.197 \| good
2026-11-11T10:00:00.000Z	23 \| good	2.628 \| good	18.845 \| good	24.61 \| good	0.249 \| good	3.396 \| good	0.182 \| good
2026-11-11T11:00:00.000Z	21 \| good	2.634 \| good	13.343 \| good	23.175 \| good	0.293 \| good	3.415 \| good	0.202 \| good
2026-11-11T12:00:00.000Z	19 \| good	3.42 \| good	21.021 \| good	18.502 \| good	0.31 \| good	5.199 \| good	0.298 \| good
2026-11-11T13:00:00.000Z	22 \| good	3.618 \| good	16.667 \| good	16.659 \| good	0.352 \| good	5.269 \| good	0.297 \| good
2026-11-11T14:00:00.000Z	44 \| good	8.188 \| good	43.54 \| good	17.258 \| good	1.004 \| good	7.144 \| good	0.366 \| good
2026-11-11T15:00:00.000Z	38 \| good	6.515 \| good	33.782 \| good	20.824 \| good	0.897 \| good	4.45 \| good	0.327 \| good
2026-11-11T16:00:00.000Z	38 \| good	6.886 \| good	37.082 \| good	20.057 \| good	1.061 \| good	3.471 \| good	0.5 \| good
2026-11-11T17:00:00.000Z	23 \| good	4.321 \| good	23.129 \| good	24.614 \| good	0.373 \| good	2.526 \| good	0.217 \| good
2026-11-11T18:00:00.000Z	21 \| good	1.794 \| good	9.374 \| good	23.207 \| good	0.375 \| good	1.487 \| good	0.241 \| good
2026-11-11T19:00:00.000Z	29 \| good	1.774 \| good	7.557 \| good	31.362 \| good	0.164 \| good	1.451 \| good	0.221 \| good
2026-11-11T20:00:00.000Z	31 \| good	1.913 \| good	8.853 \| good	34.392 \| good	0.345 \| good	1.438 \| good	0.202 \| good
2026-11-11T21:00:00.000Z	30 \| good	2.459 \| good	10.612 \| good	31.857 \| good	0.265 \| good	2.298 \| good	0.261 \| good
2026-11-11T22:00:00.000Z	25 \| good	3.062 \| good	15.407 \| good	26.694 \| good	0.27 \| good	3.851 \| good	0.265 \| good
2026-11-11T23:00:00.000Z	23 \| good	3.881 \| good	20.478 \| good	25.362 \| good	0.346 \| good	6.64 \| good	0.313 \| good
2026-11-12T00:00:00.000Z	27 \| good	4.684 \| good	18.205 \| good	25.98 \| good	0.348 \| good	8.289 \| good	0.314 \| good
2026-11-12T01:00:00.000Z	27 \| good	5.382 \| good	26.569 \| good	25.067 \| good	0.365 \| good	11.263 \| good	0.334 \| good
2026-11-12T02:00:00.000Z	27 \| good	4.588 \| good	11.861 \| good	19.818 \| good	0.374 \| good	8.935 \| good	0.334 \| good
2026-11-12T03:00:00.000Z	22 \| good	4.318 \| good	18.603 \| good	19.237 \| good	0.426 \| good	11.535 \| good	0.353 \| good
2026-11-12T04:00:00.000Z	22 \| good	3.962 \| good	22.335 \| good	18.99 \| good	0.413 \| good	5.41 \| good	0.337 \| good
2026-11-12T05:00:00.000Z	27 \| good	5.416 \| good	24.288 \| good	15.293 \| good	0.412 \| good	4.264 \| good	0.334 \| good
2026-11-12T06:00:00.000Z	33 \| good	5.952 \| good	23.663 \| good	15.824 \| good	0.332 \| good	5.103 \| good	0.323 \| good
2026-11-12T07:00:00.000Z	33 \| good	5.612 \| good	24.082 \| good	14.189 \| good	0.332 \| good	5.473 \| good	0.323 \| good
2026-11-12T08:00:00.000Z	27 \| good	4.527 \| good	19.959 \| good	7.974 \| good	0.432 \| good	5.249 \| good	0.319 \| good
2026-11-12T09:00:00.000Z	33 \| good	5.788 \| good	31.134 \| good	12.675 \| good	0.429 \| good	5.224 \| good	0.339 \| good
2026-11-12T10:00:00.000Z	27 \| good	4.917 \| good	21.826 \| good	15.73 \| good	0.393 \| good	3.96 \| good	0.338 \| good
2026-11-12T11:00:00.000Z	33 \| good	5.542 \| good	27.963 \| good	16.008 \| good	0.443 \| good	4.473 \| good	0.275 \| good
2026-11-12T12:00:00.000Z	27 \| good	4.745 \| good	21.616 \| good	13.392 \| good	0.556 \| good	4.724 \| good	0.318 \| good
2026-11-12T13:00:00.000Z	27 \| good	4.988 \| good	26.061 \| good	15.684 \| good	0.602 \| good	4.368 \| good	0.318 \| good
2026-11-12T14:00:00.000Z	25 \| good	4.121 \| good	27.124 \| good	15.58 \| good	0.354 \| good	5.119 \| good	0.262 \| good
2026-11-12T15:00:00.000Z	22 \| good	3.403 \| good	24.213 \| good	17.433 \| good	0.349 \| good	5.02 \| good	0.265 \| good
2026-11-12T16:00:00.000Z	22 \| good	4.013 \| good	16.945 \| good	18.912 \| good	0.331 \| good	3.678 \| good	0.245 \| good
2026-11-12T17:00:00.000Z	17 \| good	3.304 \| good	15.164 \| good	17.882 \| good	0.355 \| good	3.06 \| good	0.265 \| good
2026-11-12T18:00:00.000Z	19 \| good	3.185 \| good	11.794 \| good	20.278 \| good	0.161 \| good	2.978 \| good	0.284 \| good
2026-11-12T19:00:00.000Z	19 \| good	2.403 \| good	11.581 \| good	21.432 \| good	0.336 \| good	2.946 \| good	0.26 \| good
2026-11-12T20:00:00.000Z	18 \| good	1.825 \| good	14.04 \| good	19.196 \| good	0.484 \| good	2.779 \| good	0.284 \| good
2026-11-12T21:00:00.000Z	27 \| good	1.486 \| good	12.882 \| good	28.713 \| good	0.471 \| good	3.002 \| good	0.284 \| good
2026-11-12T22:00:00.000Z	22 \| good	1.562 \| good	8.844 \| good	23.745 \| good	0.471 \| good	2.585 \| good	0.245 \| good
2026-11-12T23:00:00.000Z	23 \| good	1.534 \| good	12.509 \| good	24.947 \| good	0.511 \| good	2.298 \| good	0.269 \| good
2026-11-13T00:00:00.000Z	25 \| good	1.787 \| good	9.446 \| good	27.079 \| good	0.314 \| good	3.622 \| good	0.221 \| good
2026-11-13T01:00:00.000Z	23 \| good	2.627 \| good	18.506 \| good	25.495 \| good	0.429 \| good	3.877 \| good	0.221 \| good
2026-11-13T01:00:00.000Z	25 \| good	1.787 \| good	9.446 \| good	27.079 \| good	0.314 \| good	3.622 \| good	0.221 \| good
2026-11-13T02:00:00.000Z	33 \| good	5.912 \| good	26.019 \| good	28.683 \| good	0.335 \| good	2.41 \| good	0.181 \| good
2026-11-13T03:00:00.000Z	26 \| good	3.528 \| good	15.669 \| good	27.589 \| good	0.377 \| good	2.331 \| good	0.18 \| good
2026-11-13T04:00:00.000Z	25 \| good	2.825 \| good	11.785 \| good	26.683 \| good	0.426 \| good	2.223 \| good	0.177 \| good
2026-11-13T05:00:00.000Z	24 \| good	2.984 \| good	12.268 \| good	25.973 \| good	0.46 \| good	2.045 \| good	0.173 \| good
2026-11-13T06:00:00.000Z	22 \| good	2.85 \| good	11.703 \| good	24.028 \| good	0.455 \| good	1.88 \| good	0.17 \| good
2026-11-13T07:00:00.000Z	22 \| good	4.041 \| good	17.853 \| good	23.067 \| good	0.441 \| good	1.706 \| good	0.166 \| good
2026-11-13T08:00:00.000Z	27 \| good	4.746 \| good	20.796 \| good	22.387 \| good	0.407 \| good	1.653 \| good	0.163 \| good
2026-11-13T09:00:00.000Z	38 \| good	6.561 \| good	29.433 \| good	23.284 \| good	0.397 \| good	1.521 \| good	0.16 \| good
2026-11-13T10:00:00.000Z	27 \| good	5.234 \| good	22.75 \| good	23.12 \| good	0.375 \| good	1.489 \| good	0.157 \| good
2026-11-13T11:00:00.000Z	27 \| good	5.491 \| good	23.726 \| good	22.914 \| good	0.362 \| good	1.623 \| good	0.156 \| good
2026-11-13T12:00:00.000Z	33 \| good	6.216 \| good	27.772 \| good	22.049 \| good	0.373 \| good	1.747 \| good	0.155 \| good
2026-11-13T13:00:00.000Z	38 \| good	6.739 \| good	29.976 \| good	20.88 \| good	0.387 \| good	1.964 \| good	0.156 \| good
2026-11-13T14:00:00.000Z	27 \| good	5.004 \| good	21.575 \| good	21.832 \| good	0.429 \| good	1.731 \| good	0.153 \| good
2026-11-13T15:00:00.000Z	20 \| good	2.885 \| good	11.698 \| good	21.851 \| good	0.437 \| good	1.404 \| good	0.148 \| good
2026-11-13T16:00:00.000Z	21 \| good	1.146 \| good	4.344 \| good	23.02 \| good	0.411 \| good	1.126 \| good	0.144 \| good
2026-11-13T17:00:00.000Z	22 \| good	0.548 \| good	2.245 \| good	24.227 \| good	0.375 \| good	0.971 \| good	0.141 \| good
2026-11-13T18:00:00.000Z	23 \| good	0.294 \| good	1.257 \| good	24.982 \| good	0.332 \| good	0.892 \| good	0.138 \| good
2026-11-13T19:00:00.000Z	23 \| good	0.596 \| good	2.109 \| good	25.016 \| good	0.283 \| good	0.846 \| good	0.136 \| good
2026-11-13T20:00:00.000Z	24 \| good	1.06 \| good	4.171 \| good	25.736 \| good	0.228 \| good	0.847 \| good	0.135 \| good
2026-11-13T21:00:00.000Z	23 \| good	0.209 \| good	0.372 \| good	24.966 \| good	0.17 \| good	0.954 \| good	0.136 \| good
2026-11-13T22:00:00.000Z	22 \| good	0.286 \| good	1.055 \| good	23.856 \| good	0.131 \| good	1.292 \| good	0.139 \| good
2026-11-13T23:00:00.000Z	21 \| good	0.835 \| good	3 \| good	23.336 \| good	0.115 \| good	1.464 \| good	0.142 \| good
2026-11-14T00:00:00.000Z	20 \| good	1.712 \| good	7.056 \| good	21.763 \| good	0.117 \| good	1.499 \| good	0.144 \| good
2026-11-14T01:00:00.000Z	22 \| good	4.074 \| good	17.773 \| good	19.902 \| good	0.135 \| good	1.491 \| good	0.144 \| good
2026-11-14T02:00:00.000Z	22 \| good	4.022 \| good	17.705 \| good	18.244 \| good	0.16 \| good	1.567 \| good	0.145 \| good
2026-11-14T03:00:00.000Z	16 \| good	0.793 \| good	3 \| good	17.403 \| good	0.183 \| good	1.658 \| good	0.146 \| good
2026-11-14T04:00:00.000Z	16 \| good	0.925 \| good	3.852 \| good	16.549 \| good	0.197 \| good	1.758 \| good	0.146 \| good
2026-11-14T05:00:00.000Z	15 \| good	1.781 \| good	7.18 \| good	16.085 \| good	0.203 \| good	1.845 \| good	0.147 \| good
2026-11-14T06:00:00.000Z	14 \| good	1.037 \| good	4 \| good	14.665 \| good	0.208 \| good	1.865 \| good	0.147 \| good
2026-11-14T07:00:00.000Z	13 \| good	0.703 \| good	2.82 \| good	14.312 \| good	0.208 \| good	1.904 \| good	0.147 \| good
2026-11-14T08:00:00.000Z	13 \| good	1.149 \| good	4.943 \| good	13.956 \| good	0.204 \| good	1.911 \| good	0.147 \| good
2026-11-14T09:00:00.000Z	13 \| good	1.672 \| good	6.909 \| good	13.61 \| good	0.196 \| good	1.913 \| good	0.148 \| good
2026-11-14T10:00:00.000Z	12 \| good	1.53 \| good	6.084 \| good	13.246 \| good	0.184 \| good	1.964 \| good	0.148 \| good
2026-11-14T11:00:00.000Z	16 \| good	3.372 \| good	14.677 \| good	11.911 \| good	0.176 \| good	2.146 \| good	0.15 \| good
2026-11-14T12:00:00.000Z	33 \| good	5.782 \| good	24.969 \| good	12.607 \| good	0.175 \| good	2.526 \| good	0.154 \| good
2026-11-14T13:00:00.000Z	49 \| good	8.907 \| good	39.052 \| good	15.723 \| good	0.168 \| good	1.955 \| good	0.151 \| good
2026-11-14T14:00:00.000Z	33 \| good	5.946 \| good	26.34 \| good	20.092 \| good	0.153 \| good	1.218 \| good	0.144 \| good
2026-11-14T15:00:00.000Z	20 \| good	1.049 \| good	4 \| good	22.482 \| good	0.121 \| good	0.733 \| good	0.137 \| good
2026-11-14T16:00:00.000Z	21 \| good	0.509 \| good	2 \| good	23.492 \| good	0.083 \| good	0.489 \| good	0.132 \| good
2026-11-14T17:00:00.000Z	22 \| good	0.289 \| good	1.033 \| good	23.671 \| good	0.066 \| good	0.429 \| good	0.131 \| good
2026-11-14T18:00:00.000Z	22 \| good	0.383 \| good	1.572 \| good	23.905 \| good	0.056 \| good	0.43 \| good	0.13 \| good
2026-11-14T19:00:00.000Z	22 \| good	1.316 \| good	5.08 \| good	23.545 \| good	0.052 \| good	0.479 \| good	0.13 \| good
2026-11-14T20:00:00.000Z	23 \| good	3.235 \| good	14.081 \| good	24.617 \| good	0.051 \| good	0.546 \| good	0.131 \| good
2026-11-14T21:00:00.000Z	23 \| good	2.445 \| good	9.872 \| good	24.727 \| good	0.054 \| good	0.688 \| good	0.133 \| good
2026-11-14T22:00:00.000Z	22 \| good	1.145 \| good	4.638 \| good	24.271 \| good	0.064 \| good	1.121 \| good	0.137 \| good
2026-11-14T23:00:00.000Z	22 \| good	0.915 \| good	3.932 \| good	23.706 \| good	0.078 \| good	1.496 \| good	0.142 \| good
2026-11-15T00:00:00.000Z	19 \| good	2.45 \| good	10.069 \| good	20.708 \| good	0.093 \| good	1.754 \| good	0.145 \| good
2026-11-15T01:00:00.000Z	22 \| good	4.008 \| good	17.621 \| good	18.833 \| good	0.107 \| good	1.976 \| good	0.147 \| 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)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

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