What is the sulfur dioxide (SO2) level in Montgomery Town, New York at the moment?

Currently, Montgomery Town, New York has a sulfur dioxide (SO2) concentration of 1.716 ppb.

What is the ozone (O3) level in Montgomery Town, New York at the moment?

The current ozone (O3) level in Montgomery Town, New York at the moment is 21.075 ppm.

What is the nitrogen dioxide (NO2) level in Montgomery Town, New York at the moment?

Nitrogen dioxide (NO2) level in Montgomery Town, New York at the moment is 10.799 ppb.

Live air quality index in Montgomery Town, New York today

Name: Live air pollution levels in Montgomery Town, New York today
Creator: Ambee

Stay updated with real-time air quality in Montgomery 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)

Moderate

Montgomery Town, New York

Last updated: ... (Local time)

Major air pollutants in Montgomery Town, New York

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

10.79 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

28.64 μg/m³

155

255

425

605+

Ozone (O₃)

30.31 ppb

201

201+

Sulfur Dioxide (SO₂)

0.39 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

6.61 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.36 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Montgomery Town, New York

Get Live Pollen Counts

Montgomery Town, New York

Scroll To Air Quality Map

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

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-07-31T02:00:00.000Z	49 \| good	9.387 \| good	38.572 \| good	31.056 \| good	0.541 \| good	5.9 \| good	0.404 \| good
2025-07-31T03:00:00.000Z	49 \| good	8.97 \| good	41.791 \| good	21.361 \| good	0.431 \| good	7.457 \| good	0.4 \| good
2025-07-31T04:00:00.000Z	49 \| good	8.848 \| good	36.925 \| good	18.485 \| good	0.433 \| good	9.042 \| good	0.432 \| good
2025-07-31T05:00:00.000Z	54 \| moderate	11.256 \| good	41.009 \| good	16.231 \| good	1.258 \| good	12.857 \| good	0.412 \| good
2025-07-31T06:00:00.000Z	49 \| good	8.658 \| good	44.143 \| good	21.075 \| good	1.716 \| good	10.799 \| good	0.409 \| good
2025-07-31T07:00:00.000Z	60 \| moderate	14.225 \| fine	56.25 \| fine	22.739 \| good	0.492 \| good	12.124 \| good	0.344 \| good
2025-07-31T08:00:00.000Z	60 \| moderate	13.992 \| fine	44.979 \| good	16.39 \| good	0.31 \| good	13.153 \| good	0.319 \| good
2025-07-31T09:00:00.000Z	63 \| moderate	13.747 \| fine	78.522 \| fine	18.033 \| good	0.424 \| good	14.959 \| good	0.318 \| good
2025-07-31T10:00:00.000Z	62 \| moderate	14.696 \| fine	48.389 \| good	18.071 \| good	0.324 \| good	13.978 \| good	0.332 \| good
2025-07-31T11:00:00.000Z	64 \| moderate	15.927 \| fine	65.309 \| fine	20.153 \| good	0.499 \| good	10.698 \| good	0.38 \| good
2025-07-31T12:00:00.000Z	58 \| moderate	13.173 \| fine	61.284 \| fine	20.263 \| good	0.29 \| good	6.363 \| good	0.42 \| good
2025-07-31T13:00:00.000Z	54 \| moderate	11.045 \| good	48.484 \| good	19.925 \| good	0.272 \| good	4.445 \| good	0.436 \| good
2025-07-31T14:00:00.000Z	64 \| moderate	15.608 \| fine	72.652 \| fine	22.62 \| good	0.303 \| good	5.525 \| good	0.41 \| good
2025-07-31T15:00:00.000Z	58 \| moderate	13.137 \| fine	58.131 \| fine	23.016 \| good	0.416 \| good	4.489 \| good	0.406 \| good
2025-07-31T16:00:00.000Z	62 \| moderate	14.8 \| fine	50.42 \| good	20.615 \| good	1.059 \| good	4.837 \| good	0.436 \| good
2025-07-31T17:00:00.000Z	66 \| moderate	16.562 \| fine	48.55 \| good	22.206 \| good	1.354 \| good	5.272 \| good	0.415 \| good
2025-07-31T18:00:00.000Z	56 \| moderate	12.176 \| fine	48.154 \| good	27.373 \| good	0.697 \| good	5.624 \| good	0.385 \| good
2025-07-31T19:00:00.000Z	64 \| moderate	16.388 \| fine	67.589 \| fine	22.713 \| good	0.754 \| good	5.796 \| good	0.42 \| good
2025-07-31T20:00:00.000Z	66 \| moderate	16.727 \| fine	58.799 \| fine	18.383 \| good	0.611 \| good	4.292 \| good	0.434 \| good
2025-07-31T21:00:00.000Z	66 \| moderate	17.05 \| fine	65.667 \| fine	21.092 \| good	0.485 \| good	5.32 \| good	0.446 \| good
2025-07-31T22:00:00.000Z	67 \| moderate	17.523 \| fine	69.822 \| fine	27.73 \| good	0.44 \| good	4.045 \| good	0.383 \| good
2025-07-31T23:00:00.000Z	49 \| good	9.006 \| good	40.714 \| good	22.675 \| good	0.358 \| good	2.805 \| good	0.252 \| good
2025-08-01T00:00:00.000Z	66 \| moderate	16.797 \| fine	51.542 \| good	26.542 \| good	0.612 \| good	4.469 \| good	0.383 \| good
2025-08-01T01:00:00.000Z	60 \| moderate	13.974 \| fine	61.036 \| fine	19.602 \| good	0.512 \| good	4.095 \| good	0.362 \| good
2025-08-01T02:00:00.000Z	54 \| moderate	10.527 \| good	51.198 \| good	16.539 \| good	0.39 \| good	3.384 \| good	0.353 \| good
2025-08-01T03:00:00.000Z	54 \| moderate	10.762 \| good	20.176 \| good	15.868 \| good	0.415 \| good	3.162 \| good	0.327 \| good
2025-08-01T04:00:00.000Z	62 \| moderate	14.772 \| fine	33.639 \| good	17.143 \| good	0.207 \| good	3.16 \| good	0.327 \| good
2025-08-01T05:00:00.000Z	52 \| moderate	9.867 \| good	44.766 \| good	20.111 \| good	0.171 \| good	5.212 \| good	0.318 \| good
2025-08-01T06:00:00.000Z	56 \| moderate	11.926 \| good	20.481 \| good	22.055 \| good	0.17 \| good	5.198 \| good	0.305 \| good
2025-08-01T07:00:00.000Z	33 \| good	5.783 \| good	18.736 \| good	23.105 \| good	0.183 \| good	3.798 \| good	0.334 \| good
2025-08-01T08:00:00.000Z	49 \| good	9.449 \| good	37.987 \| good	22.641 \| good	0.184 \| good	4.842 \| good	0.334 \| good
2025-08-01T09:00:00.000Z	38 \| good	7.14 \| good	30.279 \| good	21.701 \| good	0.182 \| good	4.866 \| good	0.322 \| good
2025-08-01T10:00:00.000Z	44 \| good	8.452 \| good	38.677 \| good	24.618 \| good	0.184 \| good	4.372 \| good	0.322 \| good
2025-08-01T11:00:00.000Z	38 \| good	6.9 \| good	22.412 \| good	25.894 \| good	0.177 \| good	4.067 \| good	0.334 \| good
2025-08-01T12:00:00.000Z	38 \| good	7.282 \| good	33.984 \| good	24.136 \| good	0.181 \| good	3.83 \| good	0.347 \| good
2025-08-01T13:00:00.000Z	60 \| moderate	13.556 \| fine	51.612 \| good	27.641 \| good	0.157 \| good	5.231 \| good	0.334 \| good
2025-08-01T14:00:00.000Z	28 \| good	5.233 \| good	30.319 \| good	24.682 \| good	0.227 \| good	3.656 \| good	0.334 \| good
2025-08-01T15:00:00.000Z	33 \| good	5.58 \| good	23.416 \| good	21.05 \| good	0.272 \| good	3.563 \| good	0.348 \| good
2025-08-01T16:00:00.000Z	38 \| good	7.203 \| good	29.949 \| good	22.766 \| good	0.272 \| good	3.858 \| good	0.289 \| good
2025-08-01T17:00:00.000Z	58 \| moderate	13.119 \| fine	50.198 \| good	24.853 \| good	0.272 \| good	3.975 \| good	0.309 \| good
2025-08-01T18:00:00.000Z	66 \| moderate	16.915 \| fine	62.155 \| fine	26.952 \| good	0.272 \| good	4.042 \| good	0.309 \| good
2025-08-01T19:00:00.000Z	58 \| moderate	12.893 \| fine	28.368 \| good	28.151 \| good	0.283 \| good	3.595 \| good	0.357 \| good
2025-08-01T20:00:00.000Z	56 \| moderate	11.694 \| good	24.01 \| good	28.524 \| good	0.323 \| good	3.192 \| good	0.332 \| good
2025-08-01T21:00:00.000Z	60 \| moderate	14.322 \| fine	47.157 \| good	27.099 \| good	0.34 \| good	4.2 \| good	0.309 \| good
2025-08-01T22:00:00.000Z	56 \| moderate	12.334 \| fine	30.275 \| good	26.032 \| good	0.511 \| good	3.1 \| good	0.357 \| good
2025-08-01T23:00:00.000Z	60 \| moderate	13.59 \| fine	30.507 \| good	26.666 \| good	0.499 \| good	4.546 \| good	0.309 \| good
2025-08-02T00:00:00.000Z	54 \| moderate	11.106 \| good	33.277 \| good	25.346 \| good	0.307 \| good	2.575 \| good	0.309 \| good
2025-08-02T01:00:00.000Z	54 \| moderate	10.792 \| good	28.639 \| good	30.306 \| good	0.385 \| good	6.611 \| good	0.357 \| good
2025-08-02T01:00:00.000Z	54 \| moderate	10.792 \| good	28.639 \| good	30.306 \| good	0.385 \| good	6.611 \| good	0.357 \| good
2025-07-31T08:00:00.000Z	60 \| moderate	13.837 \| fine	62.086 \| fine	14.646 \| good	0.531 \| good	6.835 \| good	0.268 \| good
2025-07-31T09:00:00.000Z	60 \| moderate	13.962 \| fine	62.222 \| fine	13.676 \| good	0.438 \| good	5.034 \| good	0.248 \| good
2025-07-31T10:00:00.000Z	62 \| moderate	14.832 \| fine	66.139 \| fine	15.272 \| good	0.434 \| good	4.122 \| good	0.233 \| good
2025-07-31T11:00:00.000Z	69 \| moderate	18.822 \| fine	83.452 \| fine	16.78 \| good	0.429 \| good	3.209 \| good	0.217 \| good
2025-07-31T12:00:00.000Z	75 \| moderate	21.674 \| fine	95.541 \| fine	17.567 \| good	0.424 \| good	2.296 \| good	0.202 \| good
2025-07-31T13:00:00.000Z	73 \| moderate	21.364 \| fine	93.835 \| fine	18.138 \| good	0.429 \| good	1.974 \| good	0.2 \| good
2025-07-31T14:00:00.000Z	84 \| moderate	26.51 \| fine	115.559 \| fine	18.642 \| good	0.433 \| good	1.652 \| good	0.198 \| good
2025-07-31T15:00:00.000Z	67 \| moderate	18.376 \| fine	80.53 \| fine	21.259 \| good	0.437 \| good	1.331 \| good	0.196 \| good
2025-07-31T16:00:00.000Z	64 \| moderate	16.139 \| fine	72.102 \| fine	23.435 \| good	0.426 \| good	1.346 \| good	0.2 \| good
2025-07-31T17:00:00.000Z	62 \| moderate	14.957 \| fine	66.618 \| fine	23.79 \| good	0.414 \| good	1.362 \| good	0.205 \| good
2025-07-31T18:00:00.000Z	62 \| moderate	15.267 \| fine	68.285 \| fine	23.319 \| good	0.402 \| good	1.378 \| good	0.209 \| good
2025-07-31T19:00:00.000Z	54 \| moderate	11.115 \| good	49.21 \| good	22.721 \| good	0.402 \| good	1.766 \| good	0.219 \| good
2025-07-31T20:00:00.000Z	49 \| good	8.856 \| good	38.765 \| good	23.615 \| good	0.402 \| good	2.154 \| good	0.229 \| good
2025-07-31T21:00:00.000Z	49 \| good	8.922 \| good	39.027 \| good	24.523 \| good	0.402 \| good	2.542 \| good	0.239 \| good
2025-07-31T22:00:00.000Z	52 \| moderate	9.829 \| good	43.765 \| good	23.536 \| good	0.419 \| good	2.837 \| good	0.247 \| good
2025-07-31T23:00:00.000Z	44 \| good	7.803 \| good	34.003 \| good	22.393 \| good	0.435 \| good	3.131 \| good	0.255 \| good
2025-08-01T00:00:00.000Z	56 \| moderate	12.396 \| fine	55.709 \| fine	22.417 \| good	0.452 \| good	3.425 \| good	0.263 \| good
2025-08-01T01:00:00.000Z	49 \| good	8.985 \| good	40.333 \| good	21.68 \| good	0.456 \| good	3.283 \| good	0.259 \| good
2025-08-01T02:00:00.000Z	49 \| good	9.473 \| good	41.962 \| good	22.532 \| good	0.46 \| good	3.141 \| good	0.256 \| good
2025-08-01T03:00:00.000Z	38 \| good	6.899 \| good	30.788 \| good	23.254 \| good	0.464 \| good	2.999 \| good	0.253 \| good
2025-08-01T04:00:00.000Z	38 \| good	6.615 \| good	29.463 \| good	23.27 \| good	0.433 \| good	2.725 \| good	0.247 \| good
2025-08-01T05:00:00.000Z	27 \| good	5.446 \| good	23.39 \| good	22.215 \| good	0.401 \| good	2.452 \| good	0.242 \| good
2025-08-01T06:00:00.000Z	27 \| good	5.051 \| good	21.712 \| good	20.532 \| good	0.369 \| good	2.179 \| good	0.236 \| good
2025-08-01T07:00:00.000Z	27 \| good	5.402 \| good	23.322 \| good	20.435 \| good	0.349 \| good	1.972 \| good	0.23 \| good
2025-08-01T08:00:00.000Z	38 \| good	7.173 \| good	31.898 \| good	19.957 \| good	0.33 \| good	1.766 \| good	0.223 \| good
2025-08-01T09:00:00.000Z	38 \| good	7.315 \| good	32.108 \| good	18.808 \| good	0.31 \| good	1.559 \| good	0.217 \| good
2025-08-01T10:00:00.000Z	44 \| good	7.829 \| good	34.117 \| good	18.581 \| good	0.31 \| good	1.511 \| good	0.216 \| good
2025-08-01T11:00:00.000Z	44 \| good	7.666 \| good	33.858 \| good	18.722 \| good	0.31 \| good	1.464 \| good	0.215 \| good
2025-08-01T12:00:00.000Z	33 \| good	5.982 \| good	26.618 \| good	18.551 \| good	0.31 \| good	1.416 \| good	0.214 \| good
2025-08-01T13:00:00.000Z	27 \| good	4.696 \| good	20.441 \| good	20.09 \| good	0.286 \| good	1.299 \| good	0.213 \| good
2025-08-01T14:00:00.000Z	49 \| good	8.922 \| good	39.917 \| good	23.474 \| good	0.261 \| good	1.182 \| good	0.211 \| good
2025-08-01T15:00:00.000Z	27 \| good	4.81 \| good	20.611 \| good	25.986 \| good	0.237 \| good	1.065 \| good	0.21 \| good
2025-08-01T16:00:00.000Z	33 \| good	6.027 \| good	26.254 \| good	27.637 \| good	0.211 \| good	0.973 \| good	0.204 \| good
2025-08-01T17:00:00.000Z	38 \| good	7.381 \| good	32.78 \| good	30.118 \| good	0.185 \| good	0.882 \| good	0.198 \| good
2025-08-01T18:00:00.000Z	38 \| good	7.449 \| good	32.798 \| good	33.353 \| good	0.159 \| good	0.79 \| good	0.192 \| good
2025-08-01T19:00:00.000Z	32 \| good	3.965 \| good	17.118 \| good	35.395 \| good	0.153 \| good	0.804 \| good	0.186 \| good
2025-08-01T20:00:00.000Z	32 \| good	5.239 \| good	22.53 \| good	34.702 \| good	0.147 \| good	0.818 \| good	0.18 \| good
2025-08-01T21:00:00.000Z	33 \| good	6.393 \| good	28.418 \| good	33.681 \| good	0.141 \| good	0.832 \| good	0.175 \| good
2025-08-01T22:00:00.000Z	38 \| good	6.542 \| good	29.12 \| good	31.71 \| good	0.167 \| good	1.539 \| good	0.183 \| good
2025-08-01T23:00:00.000Z	33 \| good	6.02 \| good	27 \| good	27.625 \| good	0.194 \| good	2.247 \| good	0.191 \| good
2025-08-02T00:00:00.000Z	54 \| moderate	10.674 \| good	47.254 \| good	24.223 \| good	0.221 \| good	2.954 \| good	0.199 \| good
2025-08-02T01:00:00.000Z	38 \| good	7.142 \| good	31.852 \| good	22.465 \| good	0.268 \| good	3.545 \| good	0.207 \| good
2025-08-02T02:00:00.000Z	44 \| good	7.977 \| good	34.809 \| good	21.22 \| good	0.314 \| good	4.137 \| good	0.214 \| good
2025-08-02T03:00:00.000Z	38 \| good	6.926 \| good	30.773 \| good	19.939 \| good	0.361 \| good	4.728 \| good	0.221 \| good
2025-08-02T04:00:00.000Z	33 \| good	5.948 \| good	26.214 \| good	19.989 \| good	0.38 \| good	4.388 \| good	0.215 \| good
2025-08-02T05:00:00.000Z	33 \| good	5.684 \| good	24.671 \| good	20.185 \| good	0.4 \| good	4.048 \| good	0.209 \| good
2025-08-02T06:00:00.000Z	38 \| good	7.129 \| good	7.253 \| good	29.16 \| good	0.415 \| good	3.68 \| good	0.203 \| good
2025-08-02T07:00:00.000Z	27 \| good	5.413 \| good	23.093 \| good	19.616 \| good	0.456 \| good	3.244 \| good	0.192 \| good

Montgomery town

Get reliable air quality data to drive your business

Montgomery Town, New York air quality map: Stay updated on AQI near you

0.44ppm

How accurate is New York, USA air quality data?

Air quality and pollutant data for New York, USA are sourced from ground-based monitors and satellites, adhering to US EPA standards. Machine learning and advanced algorithms enhance the data by incorporating local variables like traffic and population density, ensuring high accuracy and dependability.

Source: Ambee Data Sources

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Frequently asked questions

How often is air quality information updated for Montgomery Town, New York?

The air quality information for Montgomery Town, New York is updated every hour for accuracy.

What time in the last 24 hours was the air quality in Montgomery Town, New York at its worst?

In the past 24 hours, the air quality in Montgomery Town, New York was at its worst at 08:00:00 on 2025-07-30.

When did Montgomery Town, New York experience the best air quality in the last 24 hours?

In the last 24 hours, the best air quality in Montgomery Town, New York was observed at 04:00:00 on 2025-07-30.

What is the AQI in Montgomery Town, New York right now?

As of now, the AQI in Montgomery Town, New York is 49, indicating Good conditions.

What is the most common type of pollution in Montgomery Town, New York?

Montgomery Town, New York air has the highest levels of PM2.5.

What should I do in case of poor air quality in Montgomery Town, New York?

Poor air quality in Montgomery Town, New York means it's advisable to stay indoors and wear a mask for your protection.

What is the PM_2.5 level in Montgomery Town, New York at the moment?

PM_2.5 levels in Montgomery Town, New York are currently 8.658 μg/m³.

What is the PM₁₀ level in Montgomery Town, New York at the moment?

The PM₁₀ concentration in Montgomery Town, New York is 44.143 μg/m³ at the moment.

What is the carbon monoxide (CO) level in Montgomery Town, New York at the moment?

The current carbon monoxide (CO) concentration in Montgomery Town, New York is 0.409 ppm.

What is the sulfur dioxide (SO₂) level in Montgomery Town, New York at the moment?

Currently, Montgomery Town, New York has a sulfur dioxide (SO₂) concentration of 1.716 ppb.

What is the ozone (O₃) level in Montgomery Town, New York at the moment?

The current ozone (O₃) level in Montgomery Town, New York at the moment is 21.075 ppm.

What is the nitrogen dioxide (NO₂) level in Montgomery Town, New York at the moment?

Nitrogen dioxide (NO₂) level in Montgomery Town, New York at the moment is 10.799 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-07-31T02:00:00.000Z	49 \| good	9.387 \| good	38.572 \| good	31.056 \| good	0.541 \| good	5.9 \| good	0.404 \| good
2025-07-31T03:00:00.000Z	49 \| good	8.97 \| good	41.791 \| good	21.361 \| good	0.431 \| good	7.457 \| good	0.4 \| good
2025-07-31T04:00:00.000Z	49 \| good	8.848 \| good	36.925 \| good	18.485 \| good	0.433 \| good	9.042 \| good	0.432 \| good
2025-07-31T05:00:00.000Z	54 \| moderate	11.256 \| good	41.009 \| good	16.231 \| good	1.258 \| good	12.857 \| good	0.412 \| good
2025-07-31T06:00:00.000Z	49 \| good	8.658 \| good	44.143 \| good	21.075 \| good	1.716 \| good	10.799 \| good	0.409 \| good
2025-07-31T07:00:00.000Z	60 \| moderate	14.225 \| fine	56.25 \| fine	22.739 \| good	0.492 \| good	12.124 \| good	0.344 \| good
2025-07-31T08:00:00.000Z	60 \| moderate	13.992 \| fine	44.979 \| good	16.39 \| good	0.31 \| good	13.153 \| good	0.319 \| good
2025-07-31T09:00:00.000Z	63 \| moderate	13.747 \| fine	78.522 \| fine	18.033 \| good	0.424 \| good	14.959 \| good	0.318 \| good
2025-07-31T10:00:00.000Z	62 \| moderate	14.696 \| fine	48.389 \| good	18.071 \| good	0.324 \| good	13.978 \| good	0.332 \| good
2025-07-31T11:00:00.000Z	64 \| moderate	15.927 \| fine	65.309 \| fine	20.153 \| good	0.499 \| good	10.698 \| good	0.38 \| good
2025-07-31T12:00:00.000Z	58 \| moderate	13.173 \| fine	61.284 \| fine	20.263 \| good	0.29 \| good	6.363 \| good	0.42 \| good
2025-07-31T13:00:00.000Z	54 \| moderate	11.045 \| good	48.484 \| good	19.925 \| good	0.272 \| good	4.445 \| good	0.436 \| good
2025-07-31T14:00:00.000Z	64 \| moderate	15.608 \| fine	72.652 \| fine	22.62 \| good	0.303 \| good	5.525 \| good	0.41 \| good
2025-07-31T15:00:00.000Z	58 \| moderate	13.137 \| fine	58.131 \| fine	23.016 \| good	0.416 \| good	4.489 \| good	0.406 \| good
2025-07-31T16:00:00.000Z	62 \| moderate	14.8 \| fine	50.42 \| good	20.615 \| good	1.059 \| good	4.837 \| good	0.436 \| good
2025-07-31T17:00:00.000Z	66 \| moderate	16.562 \| fine	48.55 \| good	22.206 \| good	1.354 \| good	5.272 \| good	0.415 \| good
2025-07-31T18:00:00.000Z	56 \| moderate	12.176 \| fine	48.154 \| good	27.373 \| good	0.697 \| good	5.624 \| good	0.385 \| good
2025-07-31T19:00:00.000Z	64 \| moderate	16.388 \| fine	67.589 \| fine	22.713 \| good	0.754 \| good	5.796 \| good	0.42 \| good
2025-07-31T20:00:00.000Z	66 \| moderate	16.727 \| fine	58.799 \| fine	18.383 \| good	0.611 \| good	4.292 \| good	0.434 \| good
2025-07-31T21:00:00.000Z	66 \| moderate	17.05 \| fine	65.667 \| fine	21.092 \| good	0.485 \| good	5.32 \| good	0.446 \| good
2025-07-31T22:00:00.000Z	67 \| moderate	17.523 \| fine	69.822 \| fine	27.73 \| good	0.44 \| good	4.045 \| good	0.383 \| good
2025-07-31T23:00:00.000Z	49 \| good	9.006 \| good	40.714 \| good	22.675 \| good	0.358 \| good	2.805 \| good	0.252 \| good
2025-08-01T00:00:00.000Z	66 \| moderate	16.797 \| fine	51.542 \| good	26.542 \| good	0.612 \| good	4.469 \| good	0.383 \| good
2025-08-01T01:00:00.000Z	60 \| moderate	13.974 \| fine	61.036 \| fine	19.602 \| good	0.512 \| good	4.095 \| good	0.362 \| good
2025-08-01T02:00:00.000Z	54 \| moderate	10.527 \| good	51.198 \| good	16.539 \| good	0.39 \| good	3.384 \| good	0.353 \| good
2025-08-01T03:00:00.000Z	54 \| moderate	10.762 \| good	20.176 \| good	15.868 \| good	0.415 \| good	3.162 \| good	0.327 \| good
2025-08-01T04:00:00.000Z	62 \| moderate	14.772 \| fine	33.639 \| good	17.143 \| good	0.207 \| good	3.16 \| good	0.327 \| good
2025-08-01T05:00:00.000Z	52 \| moderate	9.867 \| good	44.766 \| good	20.111 \| good	0.171 \| good	5.212 \| good	0.318 \| good
2025-08-01T06:00:00.000Z	56 \| moderate	11.926 \| good	20.481 \| good	22.055 \| good	0.17 \| good	5.198 \| good	0.305 \| good
2025-08-01T07:00:00.000Z	33 \| good	5.783 \| good	18.736 \| good	23.105 \| good	0.183 \| good	3.798 \| good	0.334 \| good
2025-08-01T08:00:00.000Z	49 \| good	9.449 \| good	37.987 \| good	22.641 \| good	0.184 \| good	4.842 \| good	0.334 \| good
2025-08-01T09:00:00.000Z	38 \| good	7.14 \| good	30.279 \| good	21.701 \| good	0.182 \| good	4.866 \| good	0.322 \| good
2025-08-01T10:00:00.000Z	44 \| good	8.452 \| good	38.677 \| good	24.618 \| good	0.184 \| good	4.372 \| good	0.322 \| good
2025-08-01T11:00:00.000Z	38 \| good	6.9 \| good	22.412 \| good	25.894 \| good	0.177 \| good	4.067 \| good	0.334 \| good
2025-08-01T12:00:00.000Z	38 \| good	7.282 \| good	33.984 \| good	24.136 \| good	0.181 \| good	3.83 \| good	0.347 \| good
2025-08-01T13:00:00.000Z	60 \| moderate	13.556 \| fine	51.612 \| good	27.641 \| good	0.157 \| good	5.231 \| good	0.334 \| good
2025-08-01T14:00:00.000Z	28 \| good	5.233 \| good	30.319 \| good	24.682 \| good	0.227 \| good	3.656 \| good	0.334 \| good
2025-08-01T15:00:00.000Z	33 \| good	5.58 \| good	23.416 \| good	21.05 \| good	0.272 \| good	3.563 \| good	0.348 \| good
2025-08-01T16:00:00.000Z	38 \| good	7.203 \| good	29.949 \| good	22.766 \| good	0.272 \| good	3.858 \| good	0.289 \| good
2025-08-01T17:00:00.000Z	58 \| moderate	13.119 \| fine	50.198 \| good	24.853 \| good	0.272 \| good	3.975 \| good	0.309 \| good
2025-08-01T18:00:00.000Z	66 \| moderate	16.915 \| fine	62.155 \| fine	26.952 \| good	0.272 \| good	4.042 \| good	0.309 \| good
2025-08-01T19:00:00.000Z	58 \| moderate	12.893 \| fine	28.368 \| good	28.151 \| good	0.283 \| good	3.595 \| good	0.357 \| good
2025-08-01T20:00:00.000Z	56 \| moderate	11.694 \| good	24.01 \| good	28.524 \| good	0.323 \| good	3.192 \| good	0.332 \| good
2025-08-01T21:00:00.000Z	60 \| moderate	14.322 \| fine	47.157 \| good	27.099 \| good	0.34 \| good	4.2 \| good	0.309 \| good
2025-08-01T22:00:00.000Z	56 \| moderate	12.334 \| fine	30.275 \| good	26.032 \| good	0.511 \| good	3.1 \| good	0.357 \| good
2025-08-01T23:00:00.000Z	60 \| moderate	13.59 \| fine	30.507 \| good	26.666 \| good	0.499 \| good	4.546 \| good	0.309 \| good
2025-08-02T00:00:00.000Z	54 \| moderate	11.106 \| good	33.277 \| good	25.346 \| good	0.307 \| good	2.575 \| good	0.309 \| good
2025-08-02T01:00:00.000Z	54 \| moderate	10.792 \| good	28.639 \| good	30.306 \| good	0.385 \| good	6.611 \| good	0.357 \| good
2025-08-02T01:00:00.000Z	54 \| moderate	10.792 \| good	28.639 \| good	30.306 \| good	0.385 \| good	6.611 \| good	0.357 \| good
2025-07-31T08:00:00.000Z	60 \| moderate	13.837 \| fine	62.086 \| fine	14.646 \| good	0.531 \| good	6.835 \| good	0.268 \| good
2025-07-31T09:00:00.000Z	60 \| moderate	13.962 \| fine	62.222 \| fine	13.676 \| good	0.438 \| good	5.034 \| good	0.248 \| good
2025-07-31T10:00:00.000Z	62 \| moderate	14.832 \| fine	66.139 \| fine	15.272 \| good	0.434 \| good	4.122 \| good	0.233 \| good
2025-07-31T11:00:00.000Z	69 \| moderate	18.822 \| fine	83.452 \| fine	16.78 \| good	0.429 \| good	3.209 \| good	0.217 \| good
2025-07-31T12:00:00.000Z	75 \| moderate	21.674 \| fine	95.541 \| fine	17.567 \| good	0.424 \| good	2.296 \| good	0.202 \| good
2025-07-31T13:00:00.000Z	73 \| moderate	21.364 \| fine	93.835 \| fine	18.138 \| good	0.429 \| good	1.974 \| good	0.2 \| good
2025-07-31T14:00:00.000Z	84 \| moderate	26.51 \| fine	115.559 \| fine	18.642 \| good	0.433 \| good	1.652 \| good	0.198 \| good
2025-07-31T15:00:00.000Z	67 \| moderate	18.376 \| fine	80.53 \| fine	21.259 \| good	0.437 \| good	1.331 \| good	0.196 \| good
2025-07-31T16:00:00.000Z	64 \| moderate	16.139 \| fine	72.102 \| fine	23.435 \| good	0.426 \| good	1.346 \| good	0.2 \| good
2025-07-31T17:00:00.000Z	62 \| moderate	14.957 \| fine	66.618 \| fine	23.79 \| good	0.414 \| good	1.362 \| good	0.205 \| good
2025-07-31T18:00:00.000Z	62 \| moderate	15.267 \| fine	68.285 \| fine	23.319 \| good	0.402 \| good	1.378 \| good	0.209 \| good
2025-07-31T19:00:00.000Z	54 \| moderate	11.115 \| good	49.21 \| good	22.721 \| good	0.402 \| good	1.766 \| good	0.219 \| good
2025-07-31T20:00:00.000Z	49 \| good	8.856 \| good	38.765 \| good	23.615 \| good	0.402 \| good	2.154 \| good	0.229 \| good
2025-07-31T21:00:00.000Z	49 \| good	8.922 \| good	39.027 \| good	24.523 \| good	0.402 \| good	2.542 \| good	0.239 \| good
2025-07-31T22:00:00.000Z	52 \| moderate	9.829 \| good	43.765 \| good	23.536 \| good	0.419 \| good	2.837 \| good	0.247 \| good
2025-07-31T23:00:00.000Z	44 \| good	7.803 \| good	34.003 \| good	22.393 \| good	0.435 \| good	3.131 \| good	0.255 \| good
2025-08-01T00:00:00.000Z	56 \| moderate	12.396 \| fine	55.709 \| fine	22.417 \| good	0.452 \| good	3.425 \| good	0.263 \| good
2025-08-01T01:00:00.000Z	49 \| good	8.985 \| good	40.333 \| good	21.68 \| good	0.456 \| good	3.283 \| good	0.259 \| good
2025-08-01T02:00:00.000Z	49 \| good	9.473 \| good	41.962 \| good	22.532 \| good	0.46 \| good	3.141 \| good	0.256 \| good
2025-08-01T03:00:00.000Z	38 \| good	6.899 \| good	30.788 \| good	23.254 \| good	0.464 \| good	2.999 \| good	0.253 \| good
2025-08-01T04:00:00.000Z	38 \| good	6.615 \| good	29.463 \| good	23.27 \| good	0.433 \| good	2.725 \| good	0.247 \| good
2025-08-01T05:00:00.000Z	27 \| good	5.446 \| good	23.39 \| good	22.215 \| good	0.401 \| good	2.452 \| good	0.242 \| good
2025-08-01T06:00:00.000Z	27 \| good	5.051 \| good	21.712 \| good	20.532 \| good	0.369 \| good	2.179 \| good	0.236 \| good
2025-08-01T07:00:00.000Z	27 \| good	5.402 \| good	23.322 \| good	20.435 \| good	0.349 \| good	1.972 \| good	0.23 \| good
2025-08-01T08:00:00.000Z	38 \| good	7.173 \| good	31.898 \| good	19.957 \| good	0.33 \| good	1.766 \| good	0.223 \| good
2025-08-01T09:00:00.000Z	38 \| good	7.315 \| good	32.108 \| good	18.808 \| good	0.31 \| good	1.559 \| good	0.217 \| good
2025-08-01T10:00:00.000Z	44 \| good	7.829 \| good	34.117 \| good	18.581 \| good	0.31 \| good	1.511 \| good	0.216 \| good
2025-08-01T11:00:00.000Z	44 \| good	7.666 \| good	33.858 \| good	18.722 \| good	0.31 \| good	1.464 \| good	0.215 \| good
2025-08-01T12:00:00.000Z	33 \| good	5.982 \| good	26.618 \| good	18.551 \| good	0.31 \| good	1.416 \| good	0.214 \| good
2025-08-01T13:00:00.000Z	27 \| good	4.696 \| good	20.441 \| good	20.09 \| good	0.286 \| good	1.299 \| good	0.213 \| good
2025-08-01T14:00:00.000Z	49 \| good	8.922 \| good	39.917 \| good	23.474 \| good	0.261 \| good	1.182 \| good	0.211 \| good
2025-08-01T15:00:00.000Z	27 \| good	4.81 \| good	20.611 \| good	25.986 \| good	0.237 \| good	1.065 \| good	0.21 \| good
2025-08-01T16:00:00.000Z	33 \| good	6.027 \| good	26.254 \| good	27.637 \| good	0.211 \| good	0.973 \| good	0.204 \| good
2025-08-01T17:00:00.000Z	38 \| good	7.381 \| good	32.78 \| good	30.118 \| good	0.185 \| good	0.882 \| good	0.198 \| good
2025-08-01T18:00:00.000Z	38 \| good	7.449 \| good	32.798 \| good	33.353 \| good	0.159 \| good	0.79 \| good	0.192 \| good
2025-08-01T19:00:00.000Z	32 \| good	3.965 \| good	17.118 \| good	35.395 \| good	0.153 \| good	0.804 \| good	0.186 \| good
2025-08-01T20:00:00.000Z	32 \| good	5.239 \| good	22.53 \| good	34.702 \| good	0.147 \| good	0.818 \| good	0.18 \| good
2025-08-01T21:00:00.000Z	33 \| good	6.393 \| good	28.418 \| good	33.681 \| good	0.141 \| good	0.832 \| good	0.175 \| good
2025-08-01T22:00:00.000Z	38 \| good	6.542 \| good	29.12 \| good	31.71 \| good	0.167 \| good	1.539 \| good	0.183 \| good
2025-08-01T23:00:00.000Z	33 \| good	6.02 \| good	27 \| good	27.625 \| good	0.194 \| good	2.247 \| good	0.191 \| good
2025-08-02T00:00:00.000Z	54 \| moderate	10.674 \| good	47.254 \| good	24.223 \| good	0.221 \| good	2.954 \| good	0.199 \| good
2025-08-02T01:00:00.000Z	38 \| good	7.142 \| good	31.852 \| good	22.465 \| good	0.268 \| good	3.545 \| good	0.207 \| good
2025-08-02T02:00:00.000Z	44 \| good	7.977 \| good	34.809 \| good	21.22 \| good	0.314 \| good	4.137 \| good	0.214 \| good
2025-08-02T03:00:00.000Z	38 \| good	6.926 \| good	30.773 \| good	19.939 \| good	0.361 \| good	4.728 \| good	0.221 \| good
2025-08-02T04:00:00.000Z	33 \| good	5.948 \| good	26.214 \| good	19.989 \| good	0.38 \| good	4.388 \| good	0.215 \| good
2025-08-02T05:00:00.000Z	33 \| good	5.684 \| good	24.671 \| good	20.185 \| good	0.4 \| good	4.048 \| good	0.209 \| good
2025-08-02T06:00:00.000Z	38 \| good	7.129 \| good	7.253 \| good	29.16 \| good	0.415 \| good	3.68 \| good	0.203 \| good
2025-08-02T07:00:00.000Z	27 \| good	5.413 \| good	23.093 \| good	19.616 \| good	0.456 \| good	3.244 \| good	0.192 \| good

Live air quality index in Montgomery Town, New York today

Major air pollutants in Montgomery Town, 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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Montgomery Town, New York

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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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