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

The current PM10 levels in Patterson, New York are 25.208 μg/m3.

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

The current sulfur dioxide (SO2) levels in Patterson, New York are 0.303 ppb.

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

The current ozone (O3) levels at Patterson, New York is 43.023 ppm.

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

The current nitrogen dioxide (NO2) levels at Patterson, New York is 3.669 ppb.

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

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

The measured PM2.5 levels in Patterson, New York at present are 6.189 μg/m3.

Stay updated with real-time air quality in Patterson, 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

Patterson, New York

Last updated: ... (Local time)

Common air pollutants in Patterson, New York

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

6.19 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

25.21 μg/m³

155

255

425

605+

Ozone (O₃)

43.02 ppb

201

201+

Sulfur Dioxide (SO₂)

0.30 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

3.67 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.23 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Looks like we don't have this data available right now

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Patterson, New York

Scroll To Air Quality Map

Track live Patterson, New York air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-03-28T00:00:00.000Z	35 \| good	2.7 \| good	7.917 \| good	38.086 \| good	0.13 \| good	8.482 \| good	0.203 \| good
2026-03-28T01:00:00.000Z	33 \| good	3.159 \| good	15.566 \| good	36.353 \| good	0.153 \| good	12.695 \| good	0.203 \| good
2026-03-28T02:00:00.000Z	33 \| good	3.52 \| good	10.599 \| good	35.689 \| good	0.149 \| good	7.335 \| good	0.222 \| good
2026-03-28T03:00:00.000Z	22 \| good	4.475 \| good	18.988 \| good	24.058 \| good	0.132 \| good	8.278 \| good	0.278 \| good
2026-03-28T04:00:00.000Z	27 \| good	4.78 \| good	17.059 \| good	29.07 \| good	0.169 \| good	9.413 \| good	0.242 \| good
2026-03-28T05:00:00.000Z	27 \| good	4.824 \| good	11.533 \| good	28.432 \| good	0.152 \| good	9.663 \| good	0.236 \| good
2026-03-28T06:00:00.000Z	25 \| good	4.174 \| good	13.86 \| good	27.204 \| good	0.239 \| good	11.253 \| good	0.224 \| good
2026-03-28T07:00:00.000Z	26 \| good	3.726 \| good	9.818 \| good	28.386 \| good	0.189 \| good	7.755 \| good	0.186 \| good
2026-03-28T08:00:00.000Z	26 \| good	3.265 \| good	10.644 \| good	27.991 \| good	0.142 \| good	7.137 \| good	0.186 \| good
2026-03-28T09:00:00.000Z	29 \| good	3.609 \| good	11.747 \| good	30.761 \| good	0.131 \| good	4.105 \| good	0.186 \| good
2026-03-28T10:00:00.000Z	29 \| good	3.94 \| good	13.166 \| good	31.072 \| good	0.129 \| good	4.896 \| good	0.172 \| good
2026-03-28T11:00:00.000Z	31 \| good	4.106 \| good	10.055 \| good	33.355 \| good	0.117 \| good	5.039 \| good	0.169 \| good
2026-03-28T12:00:00.000Z	31 \| good	4.529 \| good	11.548 \| good	32.883 \| good	0.155 \| good	4.65 \| good	0.204 \| good
2026-03-28T13:00:00.000Z	32 \| good	4.945 \| good	20.877 \| good	34.582 \| good	0.21 \| good	3.549 \| good	0.224 \| good
2026-03-28T14:00:00.000Z	31 \| good	4.156 \| good	15.234 \| good	33.687 \| good	0.191 \| good	2.615 \| good	0.208 \| good
2026-03-28T15:00:00.000Z	34 \| good	3.564 \| good	11.23 \| good	37.283 \| good	0.153 \| good	2.131 \| good	0.188 \| good
2026-03-28T16:00:00.000Z	32 \| good	4.12 \| good	15.475 \| good	35.203 \| good	0.191 \| good	1.931 \| good	0.169 \| good
2026-03-28T17:00:00.000Z	32 \| good	4.34 \| good	16.746 \| good	35.431 \| good	0.21 \| good	1.86 \| good	0.169 \| good
2026-03-28T18:00:00.000Z	36 \| good	3.745 \| good	14.658 \| good	38.627 \| good	0.163 \| good	1.88 \| good	0.184 \| good
2026-03-28T19:00:00.000Z	37 \| good	3.408 \| good	9.786 \| good	40.433 \| good	0.163 \| good	1.871 \| good	0.184 \| good
2026-03-28T20:00:00.000Z	37 \| good	2.977 \| good	9.601 \| good	40.368 \| good	0.152 \| good	1.943 \| good	0.184 \| good
2026-03-28T21:00:00.000Z	36 \| good	3.195 \| good	10.249 \| good	39.076 \| good	0.143 \| good	2.14 \| good	0.203 \| good
2026-03-28T22:00:00.000Z	34 \| good	3.195 \| good	7.664 \| good	36.882 \| good	0.127 \| good	2.318 \| good	0.188 \| good
2026-03-28T23:00:00.000Z	36 \| good	3.503 \| good	11.816 \| good	38.698 \| good	0.132 \| good	2.487 \| good	0.184 \| good
2026-03-29T00:00:00.000Z	36 \| good	3.457 \| good	6.668 \| good	39.373 \| good	0.164 \| good	3.306 \| good	0.184 \| good
2026-03-29T01:00:00.000Z	36 \| good	4.682 \| good	20.675 \| good	38.7 \| good	0.2 \| good	8.154 \| good	0.223 \| good
2026-03-29T02:00:00.000Z	35 \| good	3.812 \| good	15.574 \| good	37.866 \| good	0.182 \| good	9.889 \| good	0.243 \| good
2026-03-29T03:00:00.000Z	27 \| good	5.245 \| good	23.175 \| good	19.863 \| good	0.691 \| good	5.358 \| good	0.223 \| good
2026-03-29T04:00:00.000Z	30 \| good	4.987 \| good	19.219 \| good	32.39 \| good	0.166 \| good	17.362 \| good	0.258 \| good
2026-03-29T05:00:00.000Z	33 \| good	6.236 \| good	15.843 \| good	31.515 \| good	0.248 \| good	21.863 \| good	0.239 \| good
2026-03-29T06:00:00.000Z	31 \| good	5.429 \| good	13.135 \| good	33.078 \| good	0.248 \| good	24.09 \| good	0.239 \| good
2026-03-29T07:00:00.000Z	27 \| good	5.166 \| good	11.294 \| good	29.212 \| good	0.389 \| good	18.617 \| good	0.265 \| good
2026-03-29T08:00:00.000Z	33 \| good	5.629 \| good	16.489 \| good	23.4 \| good	0.285 \| good	25.939 \| good	0.268 \| good
2026-03-29T09:00:00.000Z	44 \| good	7.54 \| good	25.182 \| good	23.927 \| good	0.445 \| good	28.416 \| good	0.287 \| good
2026-03-29T10:00:00.000Z	44 \| good	7.848 \| good	28.457 \| good	23.8 \| good	0.379 \| good	24.771 \| good	0.272 \| good
2026-03-29T11:00:00.000Z	38 \| good	7.288 \| good	7.384 \| good	25.081 \| good	0.547 \| good	20.454 \| good	0.327 \| good
2026-03-29T12:00:00.000Z	33 \| good	5.765 \| good	14.448 \| good	19.474 \| good	0.485 \| good	18.765 \| good	0.358 \| good
2026-03-29T13:00:00.000Z	33 \| good	6.21 \| good	20.226 \| good	14.379 \| good	0.548 \| good	18.414 \| good	0.4 \| good
2026-03-29T14:00:00.000Z	27 \| good	5.424 \| good	23.141 \| good	19.814 \| good	0.394 \| good	8.775 \| good	0.234 \| good
2026-03-29T15:00:00.000Z	29 \| good	4.994 \| good	11.647 \| good	31.217 \| good	0.406 \| good	6.158 \| good	0.215 \| good
2026-03-29T16:00:00.000Z	31 \| good	4.692 \| good	13.446 \| good	32.89 \| good	0.34 \| good	3.671 \| good	0.221 \| good
2026-03-29T17:00:00.000Z	30 \| good	4.887 \| good	15.641 \| good	31.593 \| good	0.413 \| good	3.308 \| good	0.268 \| good
2026-03-29T18:00:00.000Z	35 \| good	5.036 \| good	10.672 \| good	37.951 \| good	0.324 \| good	4.424 \| good	0.245 \| good
2026-03-29T19:00:00.000Z	37 \| good	4.908 \| good	10.717 \| good	39.821 \| good	0.316 \| good	5.454 \| good	0.245 \| good
2026-03-29T20:00:00.000Z	38 \| good	5.141 \| good	14.52 \| good	40.722 \| good	0.306 \| good	4.405 \| good	0.245 \| good
2026-03-29T21:00:00.000Z	40 \| good	5.433 \| good	13.903 \| good	43.422 \| good	0.272 \| good	4.236 \| good	0.245 \| good
2026-03-29T22:00:00.000Z	38 \| good	6.096 \| good	21.844 \| good	40.815 \| good	0.296 \| good	4.374 \| good	0.23 \| good
2026-03-29T23:00:00.000Z	40 \| good	6.189 \| good	25.208 \| good	43.023 \| good	0.303 \| good	3.669 \| good	0.23 \| good
2026-03-29T23:00:00.000Z	40 \| good	6.189 \| good	25.208 \| good	43.023 \| good	0.303 \| good	3.669 \| good	0.23 \| good
2026-03-30T00:00:00.000Z	49 \| good	9.161 \| good	40.652 \| good	32.289 \| good	2.523 \| good	11.948 \| good	0.227 \| good
2026-03-30T01:00:00.000Z	52 \| moderate	10.128 \| good	44.793 \| good	32.572 \| good	2.434 \| good	12.104 \| good	0.226 \| good
2026-03-30T02:00:00.000Z	56 \| moderate	11.582 \| good	51.241 \| good	36.181 \| good	2.345 \| good	12.26 \| good	0.224 \| good
2026-03-30T03:00:00.000Z	58 \| moderate	13.46 \| fine	60.499 \| fine	31.86 \| good	2.256 \| good	12.417 \| good	0.223 \| good
2026-03-30T04:00:00.000Z	62 \| moderate	14.902 \| fine	66.92 \| fine	25.568 \| good	2.105 \| good	10.723 \| good	0.208 \| good
2026-03-30T05:00:00.000Z	54 \| moderate	10.932 \| good	48.482 \| good	22.678 \| good	1.954 \| good	9.03 \| good	0.193 \| good
2026-03-30T06:00:00.000Z	38 \| good	6.806 \| good	30.356 \| good	22.552 \| good	1.803 \| good	7.336 \| good	0.178 \| good
2026-03-30T07:00:00.000Z	28 \| good	3.831 \| good	16.49 \| good	29.89 \| good	1.732 \| good	6.398 \| good	0.178 \| good
2026-03-30T08:00:00.000Z	26 \| good	3.743 \| good	16.163 \| good	28.067 \| good	1.66 \| good	5.46 \| good	0.178 \| good
2026-03-30T09:00:00.000Z	24 \| good	3.825 \| good	16.716 \| good	25.533 \| good	1.588 \| good	4.522 \| good	0.177 \| good
2026-03-30T10:00:00.000Z	38 \| good	6.652 \| good	29.801 \| good	13.754 \| good	1.633 \| good	4.885 \| good	0.186 \| good
2026-03-30T11:00:00.000Z	33 \| good	6.392 \| good	28.42 \| good	14.638 \| good	1.677 \| good	5.247 \| good	0.195 \| good
2026-03-30T12:00:00.000Z	38 \| good	6.874 \| good	30.575 \| good	15.688 \| good	1.721 \| good	5.61 \| good	0.203 \| good
2026-03-30T13:00:00.000Z	38 \| good	7.204 \| good	32.026 \| good	20.462 \| good	1.823 \| good	5.402 \| good	0.198 \| good
2026-03-30T14:00:00.000Z	38 \| good	6.939 \| good	30.477 \| good	25.605 \| good	1.924 \| good	5.194 \| good	0.193 \| good
2026-03-30T15:00:00.000Z	33 \| good	5.545 \| good	23.865 \| good	27.369 \| good	2.025 \| good	4.985 \| good	0.188 \| good
2026-03-30T16:00:00.000Z	27 \| good	5.435 \| good	23.429 \| good	25.068 \| good	2.097 \| good	4.182 \| good	0.181 \| good
2026-03-30T17:00:00.000Z	27 \| good	5.165 \| good	22.205 \| good	26.697 \| good	2.168 \| good	3.378 \| good	0.174 \| good
2026-03-30T18:00:00.000Z	44 \| good	8.191 \| good	35.582 \| good	28.668 \| good	2.24 \| good	2.575 \| good	0.167 \| good
2026-03-30T19:00:00.000Z	44 \| good	7.864 \| good	34.383 \| good	25.966 \| good	2.211 \| good	2.525 \| good	0.166 \| good
2026-03-30T20:00:00.000Z	38 \| good	6.958 \| good	30.605 \| good	29.357 \| good	2.182 \| good	2.475 \| good	0.165 \| good
2026-03-30T21:00:00.000Z	38 \| good	6.987 \| good	30.915 \| good	31.395 \| good	2.153 \| good	2.425 \| good	0.164 \| good
2026-03-30T22:00:00.000Z	44 \| good	8.381 \| good	36.847 \| good	32.618 \| good	2.272 \| good	4.324 \| good	0.178 \| good
2026-03-30T23:00:00.000Z	52 \| moderate	9.526 \| good	42.678 \| good	34.854 \| good	2.392 \| good	6.223 \| good	0.192 \| good
2026-03-31T00:00:00.000Z	56 \| moderate	11.694 \| good	52.152 \| good	33.999 \| good	2.512 \| good	8.122 \| good	0.206 \| good
2026-03-31T01:00:00.000Z	60 \| moderate	13.699 \| fine	61.295 \| fine	35.877 \| good	2.544 \| good	8.428 \| good	0.209 \| good
2026-03-31T02:00:00.000Z	64 \| moderate	16.307 \| fine	72.503 \| fine	20.666 \| good	2.576 \| good	8.735 \| good	0.212 \| good
2026-03-31T03:00:00.000Z	67 \| moderate	17.554 \| fine	78.075 \| fine	12.397 \| good	2.608 \| good	9.042 \| good	0.215 \| good
2026-03-31T04:00:00.000Z	64 \| moderate	16.462 \| fine	73.275 \| fine	15.313 \| good	2.525 \| good	8.537 \| good	0.21 \| good
2026-03-31T05:00:00.000Z	62 \| moderate	15.142 \| fine	67.267 \| fine	16.687 \| good	2.442 \| good	8.032 \| good	0.205 \| good
2026-03-31T06:00:00.000Z	58 \| moderate	13.186 \| fine	13.386 \| good	36.916 \| good	2.356 \| good	7.474 \| good	0.201 \| good
2026-03-31T07:00:00.000Z	52 \| moderate	9.593 \| good	42.966 \| good	24.497 \| good	2.228 \| good	6.891 \| good	0.194 \| good
2026-03-31T08:00:00.000Z	54 \| moderate	11.141 \| good	49.236 \| good	21.062 \| good	2.097 \| good	6.255 \| good	0.188 \| good
2026-03-31T09:00:00.000Z	54 \| moderate	11.441 \| good	50.635 \| good	16.301 \| good	1.966 \| good	5.619 \| good	0.182 \| good
2026-03-31T10:00:00.000Z	22 \| good	4.072 \| good	17.867 \| good	22.589 \| good	1.841 \| good	5.863 \| good	0.18 \| good
2026-03-31T11:00:00.000Z	23 \| good	3.987 \| good	17.42 \| good	24.78 \| good	1.716 \| good	6.108 \| good	0.177 \| good
2026-03-31T12:00:00.000Z	54 \| moderate	10.514 \| good	10.885 \| good	35.363 \| good	1.583 \| good	6.285 \| good	0.175 \| good
2026-03-31T13:00:00.000Z	52 \| moderate	10.193 \| good	10.562 \| good	35.887 \| good	1.59 \| good	5.905 \| good	0.177 \| good
2026-03-31T14:00:00.000Z	52 \| moderate	9.635 \| good	10.003 \| good	36.412 \| good	1.598 \| good	5.525 \| good	0.178 \| good
2026-03-31T15:00:00.000Z	52 \| moderate	9.626 \| good	10.016 \| good	36.936 \| good	1.605 \| good	5.145 \| good	0.179 \| good
2026-03-31T16:00:00.000Z	52 \| moderate	9.609 \| good	9.978 \| good	40.164 \| good	1.559 \| good	4.481 \| good	0.174 \| good
2026-03-31T17:00:00.000Z	38 \| good	6.726 \| good	29.943 \| good	35.305 \| good	1.526 \| good	3.882 \| good	0.169 \| good
2026-03-31T18:00:00.000Z	52 \| moderate	9.711 \| good	10.037 \| good	46.62 \| good	1.468 \| good	3.152 \| good	0.164 \| good
2026-03-31T19:00:00.000Z	52 \| moderate	9.794 \| good	10.142 \| good	47.105 \| good	1.497 \| good	3.609 \| good	0.166 \| good
2026-03-31T20:00:00.000Z	52 \| moderate	9.92 \| good	10.274 \| good	47.591 \| good	1.526 \| good	4.065 \| good	0.169 \| good
2026-03-31T21:00:00.000Z	52 \| moderate	10.494 \| good	10.814 \| good	48.076 \| good	1.555 \| good	4.522 \| good	0.172 \| good
2026-03-31T22:00:00.000Z	54 \| moderate	11.122 \| good	11.384 \| good	46.92 \| good	1.734 \| good	6.491 \| good	0.183 \| good
2026-03-31T23:00:00.000Z	54 \| moderate	11.253 \| good	11.474 \| good	45.763 \| good	1.914 \| good	8.461 \| good	0.194 \| good

Patterson

Empower business decisions with accurate air quality data

Patterson, 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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Frequently asked questions

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

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

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

The worst air quality in Patterson, New York was recorded at 10:00:00 on 2026-03-29.

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

The best air quality in Patterson, New York was recorded at 02:00:00 on 2026-03-29.

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

The real-time air quality index in Patterson, New York is 40, currently categorized as Good.

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

The most common pollutant in Patterson, New York is O3.

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

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

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

The measured PM_2.5 levels in Patterson, New York at present are 6.189 μg/m³.

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

The current PM₁₀ levels in Patterson, New York are 25.208 μg/m³.

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

The current carbon monoxide (CO) level in Patterson, New York is 0.23 ppm.

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

The current sulfur dioxide (SO₂) levels in Patterson, New York are 0.303 ppb.

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

The current ozone (O₃) levels at Patterson, New York is 43.023 ppm.

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

The current nitrogen dioxide (NO₂) levels at Patterson, New York is 3.669 ppb.

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