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 0.821 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 16.013 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 15.174 ppb.

Live air quality index in Montgomery Town, New York today

Q: What is the PM2.5 level in Montgomery Town, New York at the moment?

PM2.5 levels in Montgomery Town, New York are currently 7.44 μg/m3.

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

The PM10 concentration in Montgomery Town, New York is 32.005 μg/m3 at the moment.

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)

Good

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)

8.86 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

36.89 μg/m³

155

255

425

605+

Ozone (O₃)

14.00 ppb

201

201+

Sulfur Dioxide (SO₂)

0.74 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

10.80 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.41 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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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
2026-03-08T16:00:00.000Z	60 \| moderate	13.524 \| fine	72.489 \| fine	8.423 \| good	0.445 \| good	7.135 \| good	0.322 \| good
2026-03-08T17:00:00.000Z	54 \| moderate	10.706 \| good	52.778 \| good	20.774 \| good	0.496 \| good	6.172 \| good	0.322 \| good
2026-03-08T18:00:00.000Z	49 \| good	9.259 \| good	39.427 \| good	20.733 \| good	0.262 \| good	5.101 \| good	0.281 \| good
2026-03-08T19:00:00.000Z	50 \| good	8.535 \| good	53.746 \| good	21.347 \| good	0.322 \| good	6.568 \| good	0.237 \| good
2026-03-08T20:00:00.000Z	29 \| good	4.417 \| good	30.223 \| good	30.756 \| good	0.196 \| good	4.646 \| good	0.215 \| good
2026-03-08T21:00:00.000Z	33 \| good	5.568 \| good	25.587 \| good	32.417 \| good	0.152 \| good	4.012 \| good	0.194 \| good
2026-03-08T22:00:00.000Z	33 \| good	6.168 \| good	23.382 \| good	32.567 \| good	0.189 \| good	3.575 \| good	0.215 \| good
2026-03-08T23:00:00.000Z	33 \| good	6.34 \| good	31.079 \| good	24.191 \| good	0.198 \| good	2.223 \| good	0.242 \| good
2026-03-09T00:00:00.000Z	33 \| good	6.255 \| good	26.317 \| good	26.585 \| good	0.307 \| good	5.461 \| good	0.264 \| good
2026-03-09T01:00:00.000Z	33 \| good	5.854 \| good	26.583 \| good	26.443 \| good	0.379 \| good	11.381 \| good	0.242 \| good
2026-03-09T02:00:00.000Z	33 \| good	5.603 \| good	28.817 \| good	28.617 \| good	0.475 \| good	8.77 \| good	0.284 \| good
2026-03-09T03:00:00.000Z	33 \| good	6.409 \| good	28.609 \| good	34.29 \| good	1.05 \| good	6.906 \| good	0.228 \| good
2026-03-09T04:00:00.000Z	33 \| good	5.832 \| good	23.866 \| good	28.844 \| good	0.556 \| good	9.06 \| good	0.22 \| good
2026-03-09T05:00:00.000Z	38 \| good	7.03 \| good	33.536 \| good	25.036 \| good	0.623 \| good	14.562 \| good	0.305 \| good
2026-03-09T06:00:00.000Z	33 \| good	6.083 \| good	23.391 \| good	21.135 \| good	0.926 \| good	13.675 \| good	0.206 \| good
2026-03-09T07:00:00.000Z	33 \| good	6.419 \| good	26.661 \| good	11.13 \| good	1.07 \| good	12.799 \| good	0.283 \| good
2026-03-09T08:00:00.000Z	27 \| good	5.098 \| good	18.123 \| good	8.727 \| good	0.835 \| good	10.767 \| good	0.234 \| good
2026-03-09T09:00:00.000Z	33 \| good	6.484 \| good	17.554 \| good	17.36 \| good	0.62 \| good	14.642 \| good	0.22 \| good
2026-03-09T10:00:00.000Z	38 \| good	6.818 \| good	25.391 \| good	20.089 \| good	0.84 \| good	13.778 \| good	0.274 \| good
2026-03-09T11:00:00.000Z	33 \| good	5.891 \| good	21.968 \| good	17.896 \| good	0.573 \| good	12.458 \| good	0.515 \| good
2026-03-09T12:00:00.000Z	38 \| good	6.644 \| good	30.049 \| good	14.916 \| good	0.736 \| good	10.291 \| good	0.604 \| good
2026-03-09T13:00:00.000Z	38 \| good	7.212 \| good	23.975 \| good	7.539 \| good	0.621 \| good	10.273 \| good	0.649 \| good
2026-03-09T14:00:00.000Z	44 \| good	7.717 \| good	32.466 \| good	8.103 \| good	0.772 \| good	11.865 \| good	0.534 \| good
2026-03-09T15:00:00.000Z	22 \| good	4.226 \| good	10.924 \| good	14.205 \| good	0.858 \| good	11.311 \| good	0.404 \| good
2026-03-09T16:00:00.000Z	22 \| good	4.187 \| good	12.648 \| good	19.966 \| good	1.053 \| good	7.267 \| good	0.342 \| good
2026-03-09T17:00:00.000Z	22 \| good	4.327 \| good	19.056 \| good	22.792 \| good	0.993 \| good	7.127 \| good	0.249 \| good
2026-03-09T18:00:00.000Z	33 \| good	5.71 \| good	25.175 \| good	30.669 \| good	0.947 \| good	3.464 \| good	0.252 \| good
2026-03-09T19:00:00.000Z	32 \| good	4.827 \| good	17.244 \| good	35.225 \| good	0.643 \| good	4.734 \| good	0.23 \| good
2026-03-09T20:00:00.000Z	34 \| good	2.368 \| good	12.142 \| good	37.168 \| good	0.652 \| good	3.192 \| good	0.245 \| good
2026-03-09T21:00:00.000Z	40 \| good	4.086 \| good	20.485 \| good	43.06 \| good	0.505 \| good	4.318 \| good	0.265 \| good
2026-03-09T22:00:00.000Z	42 \| good	4.276 \| good	18.025 \| good	44.764 \| good	0.423 \| good	3.517 \| good	0.272 \| good
2026-03-09T23:00:00.000Z	40 \| good	5.126 \| good	22.868 \| good	43.11 \| good	0.407 \| good	4.493 \| good	0.296 \| good
2026-03-10T00:00:00.000Z	42 \| good	5.974 \| good	14.563 \| good	44.675 \| good	0.409 \| good	12.851 \| good	0.334 \| good
2026-03-10T01:00:00.000Z	49 \| good	9.332 \| good	51.73 \| good	41.07 \| good	0.466 \| good	14.008 \| good	0.333 \| good
2026-03-10T02:00:00.000Z	38 \| good	7.432 \| good	27.976 \| good	40.059 \| good	0.557 \| good	15.065 \| good	0.273 \| good
2026-03-10T03:00:00.000Z	33 \| good	4.668 \| good	20.822 \| good	35.604 \| good	3.372 \| good	13.855 \| good	0.242 \| good
2026-03-10T04:00:00.000Z	38 \| good	7.21 \| good	36.477 \| good	36.533 \| good	0.557 \| good	19.399 \| good	0.297 \| good
2026-03-10T05:00:00.000Z	49 \| good	9.05 \| good	35.58 \| good	35.391 \| good	0.641 \| good	18.751 \| good	0.298 \| good
2026-03-10T06:00:00.000Z	44 \| good	8.05 \| good	38.276 \| good	23.068 \| good	0.353 \| good	16.662 \| good	0.229 \| good
2026-03-10T07:00:00.000Z	44 \| good	7.96 \| good	24.124 \| good	30.557 \| good	0.379 \| good	18.461 \| good	0.229 \| good
2026-03-10T08:00:00.000Z	33 \| good	6.344 \| good	22.091 \| good	26.548 \| good	0.426 \| good	18.306 \| good	0.208 \| good
2026-03-10T09:00:00.000Z	32 \| good	5.258 \| good	16.665 \| good	35.065 \| good	0.436 \| good	17.357 \| good	0.221 \| good
2026-03-10T10:00:00.000Z	41 \| good	7.482 \| good	44.376 \| good	21.76 \| good	0.481 \| good	19.637 \| good	0.22 \| good
2026-03-10T11:00:00.000Z	49 \| good	8.546 \| good	37.773 \| good	17.988 \| good	0.699 \| good	19.319 \| good	0.305 \| good
2026-03-10T12:00:00.000Z	44 \| good	7.748 \| good	28.064 \| good	15.632 \| good	0.816 \| good	17.638 \| good	0.44 \| good
2026-03-10T13:00:00.000Z	38 \| good	6.923 \| good	28.804 \| good	15.23 \| good	0.806 \| good	16.625 \| good	0.478 \| good
2026-03-10T14:00:00.000Z	54 \| moderate	11.122 \| good	23.85 \| good	13.832 \| good	0.78 \| good	14.366 \| good	0.469 \| good
2026-03-10T15:00:00.000Z	49 \| good	8.745 \| good	31.095 \| good	13.844 \| good	0.714 \| good	11.661 \| good	0.399 \| good
2026-03-10T15:00:00.000Z	49 \| good	8.858 \| good	36.889 \| good	14.004 \| good	0.738 \| good	10.801 \| good	0.413 \| good
2026-03-10T15:00:00.000Z	31 \| good	4.178 \| good	18.076 \| good	34.038 \| good	3.539 \| good	6.069 \| good	0.254 \| good
2026-03-10T16:00:00.000Z	36 \| good	4.884 \| good	20.971 \| good	39.499 \| good	3.005 \| good	4.701 \| good	0.223 \| good
2026-03-10T17:00:00.000Z	40 \| good	2.757 \| good	11.069 \| good	42.725 \| good	2.471 \| good	3.333 \| good	0.193 \| good
2026-03-10T18:00:00.000Z	42 \| good	0.624 \| good	2.045 \| good	45.346 \| good	1.937 \| good	1.965 \| good	0.162 \| good
2026-03-10T19:00:00.000Z	39 \| good	1.698 \| good	6.969 \| good	42.061 \| good	1.722 \| good	1.915 \| good	0.157 \| good
2026-03-10T20:00:00.000Z	37 \| good	2.545 \| good	10.036 \| good	39.697 \| good	1.506 \| good	1.865 \| good	0.152 \| good
2026-03-10T21:00:00.000Z	34 \| good	3.503 \| good	15.675 \| good	36.747 \| good	1.291 \| good	1.815 \| good	0.147 \| good
2026-03-10T22:00:00.000Z	34 \| good	2.788 \| good	11.834 \| good	36.665 \| good	1.564 \| good	5.534 \| good	0.181 \| good
2026-03-10T23:00:00.000Z	33 \| good	5.72 \| good	24.792 \| good	36.139 \| good	1.837 \| good	9.253 \| good	0.215 \| good
2026-03-11T00:00:00.000Z	30 \| good	1.907 \| good	7.934 \| good	31.728 \| good	2.11 \| good	12.972 \| good	0.249 \| good
2026-03-11T01:00:00.000Z	33 \| good	5.753 \| good	24.86 \| good	31.363 \| good	2.409 \| good	15.131 \| good	0.266 \| good
2026-03-11T02:00:00.000Z	29 \| good	2.407 \| good	9.958 \| good	31.263 \| good	2.708 \| good	17.289 \| good	0.284 \| good
2026-03-11T03:00:00.000Z	26 \| good	3.161 \| good	13.814 \| good	28.389 \| good	3.007 \| good	19.447 \| good	0.301 \| good
2026-03-11T04:00:00.000Z	26 \| good	2.297 \| good	9.143 \| good	27.557 \| good	2.976 \| good	18.997 \| good	0.294 \| good
2026-03-11T05:00:00.000Z	25 \| good	3.801 \| good	16.932 \| good	26.603 \| good	2.946 \| good	18.547 \| good	0.286 \| good
2026-03-11T06:00:00.000Z	23 \| good	3.592 \| good	15.88 \| good	24.7 \| good	2.915 \| good	18.097 \| good	0.279 \| good
2026-03-11T07:00:00.000Z	33 \| good	5.928 \| good	26.677 \| good	27.782 \| good	2.82 \| good	17.524 \| good	0.274 \| good
2026-03-11T08:00:00.000Z	33 \| good	6.163 \| good	27.093 \| good	25.079 \| good	2.726 \| good	16.951 \| good	0.269 \| good
2026-03-11T09:00:00.000Z	38 \| good	7.131 \| good	31.954 \| good	21.093 \| good	2.632 \| good	16.378 \| good	0.264 \| good
2026-03-11T10:00:00.000Z	27 \| good	4.849 \| good	21.056 \| good	14.735 \| good	2.66 \| good	16.081 \| good	0.275 \| good
2026-03-11T11:00:00.000Z	33 \| good	5.935 \| good	26.721 \| good	8.418 \| good	2.687 \| good	15.783 \| good	0.286 \| good
2026-03-11T12:00:00.000Z	49 \| good	8.602 \| good	37.87 \| good	6.59 \| good	2.715 \| good	15.485 \| good	0.298 \| good
2026-03-11T13:00:00.000Z	49 \| good	8.704 \| good	38.202 \| good	11.529 \| good	2.817 \| good	14.262 \| good	0.287 \| good
2026-03-11T14:00:00.000Z	38 \| good	6.739 \| good	30.114 \| good	20.837 \| good	2.92 \| good	13.039 \| good	0.277 \| good
2026-03-11T15:00:00.000Z	33 \| good	5.835 \| good	25.286 \| good	26.109 \| good	3.022 \| good	11.816 \| good	0.266 \| good
2026-03-11T16:00:00.000Z	33 \| good	6.074 \| good	27.033 \| good	33.708 \| good	2.936 \| good	11.284 \| good	0.247 \| good
2026-03-11T17:00:00.000Z	43 \| good	5.154 \| good	22.218 \| good	46.151 \| good	2.85 \| good	10.751 \| good	0.228 \| good
2026-03-11T18:00:00.000Z	44 \| good	4.321 \| good	19.069 \| good	47.908 \| good	2.765 \| good	10.219 \| good	0.209 \| good
2026-03-11T19:00:00.000Z	47 \| good	6.962 \| good	30.972 \| good	50.517 \| good	2.525 \| good	10.613 \| good	0.205 \| good
2026-03-11T20:00:00.000Z	49 \| good	5.804 \| good	25.104 \| good	52.608 \| good	2.285 \| good	11.006 \| good	0.201 \| good
2026-03-11T21:00:00.000Z	46 \| good	4.614 \| good	20.02 \| good	49.625 \| good	2.045 \| good	11.4 \| good	0.197 \| good
2026-03-11T22:00:00.000Z	44 \| good	5.227 \| good	22.879 \| good	47.572 \| good	2.041 \| good	11.416 \| good	0.199 \| good
2026-03-11T23:00:00.000Z	38 \| good	7.029 \| good	31.535 \| good	41.166 \| good	2.037 \| good	11.432 \| good	0.201 \| good
2026-03-12T00:00:00.000Z	38 \| good	5.449 \| good	23.033 \| good	41.211 \| good	2.033 \| good	11.449 \| good	0.203 \| good
2026-03-12T01:00:00.000Z	34 \| good	5.932 \| good	26.588 \| good	37.408 \| good	1.97 \| good	10.107 \| good	0.196 \| good
2026-03-12T02:00:00.000Z	38 \| good	5.2 \| good	22.783 \| good	41.344 \| good	1.907 \| good	8.765 \| good	0.19 \| good
2026-03-12T03:00:00.000Z	38 \| good	4.967 \| good	21.056 \| good	40.878 \| good	1.844 \| good	7.422 \| good	0.183 \| good
2026-03-12T04:00:00.000Z	37 \| good	4.501 \| good	19.899 \| good	39.744 \| good	1.846 \| good	6.151 \| good	0.172 \| good
2026-03-12T05:00:00.000Z	35 \| good	4.913 \| good	21.121 \| good	37.613 \| good	1.848 \| good	4.88 \| good	0.161 \| good
2026-03-12T06:00:00.000Z	54 \| moderate	10.923 \| good	11.031 \| good	39.543 \| good	1.829 \| good	3.387 \| good	0.148 \| good
2026-03-12T07:00:00.000Z	32 \| good	1.292 \| good	5 \| good	35.018 \| good	1.777 \| good	3.257 \| good	0.14 \| good
2026-03-12T08:00:00.000Z	31 \| good	4.075 \| good	17.941 \| good	33.437 \| good	1.703 \| good	2.906 \| good	0.131 \| good
2026-03-12T09:00:00.000Z	33 \| good	6.191 \| good	27.848 \| good	31.935 \| good	1.63 \| good	2.554 \| good	0.121 \| good
2026-03-12T10:00:00.000Z	32 \| good	4.341 \| good	18.943 \| good	34.683 \| good	1.526 \| good	2.549 \| good	0.12 \| good
2026-03-12T11:00:00.000Z	31 \| good	3.549 \| good	15.884 \| good	32.966 \| good	1.422 \| good	2.543 \| good	0.118 \| good
2026-03-12T12:00:00.000Z	31 \| good	4.331 \| good	4.379 \| good	33.168 \| good	1.28 \| good	2.324 \| good	0.117 \| good
2026-03-12T13:00:00.000Z	31 \| good	1.991 \| good	2.006 \| good	34.258 \| good	0.957 \| good	1.96 \| good	0.133 \| good
2026-03-12T14:00:00.000Z	32 \| good	0.637 \| good	0.655 \| good	35.349 \| good	0.634 \| good	1.596 \| good	0.148 \| good

Montgomery town

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

0.54ppm

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 11:00:00 on 2026-03-10.

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 05:00:00 on 2026-03-09.

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

As of now, the AQI in Montgomery Town, New York is 38, 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 7.44 μg/m³.

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

The PM₁₀ concentration in Montgomery Town, New York is 32.005 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 0.487 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 0.821 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 16.013 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 15.174 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-03-08T16:00:00.000Z	60 \| moderate	13.524 \| fine	72.489 \| fine	8.423 \| good	0.445 \| good	7.135 \| good	0.322 \| good
2026-03-08T17:00:00.000Z	54 \| moderate	10.706 \| good	52.778 \| good	20.774 \| good	0.496 \| good	6.172 \| good	0.322 \| good
2026-03-08T18:00:00.000Z	49 \| good	9.259 \| good	39.427 \| good	20.733 \| good	0.262 \| good	5.101 \| good	0.281 \| good
2026-03-08T19:00:00.000Z	50 \| good	8.535 \| good	53.746 \| good	21.347 \| good	0.322 \| good	6.568 \| good	0.237 \| good
2026-03-08T20:00:00.000Z	29 \| good	4.417 \| good	30.223 \| good	30.756 \| good	0.196 \| good	4.646 \| good	0.215 \| good
2026-03-08T21:00:00.000Z	33 \| good	5.568 \| good	25.587 \| good	32.417 \| good	0.152 \| good	4.012 \| good	0.194 \| good
2026-03-08T22:00:00.000Z	33 \| good	6.168 \| good	23.382 \| good	32.567 \| good	0.189 \| good	3.575 \| good	0.215 \| good
2026-03-08T23:00:00.000Z	33 \| good	6.34 \| good	31.079 \| good	24.191 \| good	0.198 \| good	2.223 \| good	0.242 \| good
2026-03-09T00:00:00.000Z	33 \| good	6.255 \| good	26.317 \| good	26.585 \| good	0.307 \| good	5.461 \| good	0.264 \| good
2026-03-09T01:00:00.000Z	33 \| good	5.854 \| good	26.583 \| good	26.443 \| good	0.379 \| good	11.381 \| good	0.242 \| good
2026-03-09T02:00:00.000Z	33 \| good	5.603 \| good	28.817 \| good	28.617 \| good	0.475 \| good	8.77 \| good	0.284 \| good
2026-03-09T03:00:00.000Z	33 \| good	6.409 \| good	28.609 \| good	34.29 \| good	1.05 \| good	6.906 \| good	0.228 \| good
2026-03-09T04:00:00.000Z	33 \| good	5.832 \| good	23.866 \| good	28.844 \| good	0.556 \| good	9.06 \| good	0.22 \| good
2026-03-09T05:00:00.000Z	38 \| good	7.03 \| good	33.536 \| good	25.036 \| good	0.623 \| good	14.562 \| good	0.305 \| good
2026-03-09T06:00:00.000Z	33 \| good	6.083 \| good	23.391 \| good	21.135 \| good	0.926 \| good	13.675 \| good	0.206 \| good
2026-03-09T07:00:00.000Z	33 \| good	6.419 \| good	26.661 \| good	11.13 \| good	1.07 \| good	12.799 \| good	0.283 \| good
2026-03-09T08:00:00.000Z	27 \| good	5.098 \| good	18.123 \| good	8.727 \| good	0.835 \| good	10.767 \| good	0.234 \| good
2026-03-09T09:00:00.000Z	33 \| good	6.484 \| good	17.554 \| good	17.36 \| good	0.62 \| good	14.642 \| good	0.22 \| good
2026-03-09T10:00:00.000Z	38 \| good	6.818 \| good	25.391 \| good	20.089 \| good	0.84 \| good	13.778 \| good	0.274 \| good
2026-03-09T11:00:00.000Z	33 \| good	5.891 \| good	21.968 \| good	17.896 \| good	0.573 \| good	12.458 \| good	0.515 \| good
2026-03-09T12:00:00.000Z	38 \| good	6.644 \| good	30.049 \| good	14.916 \| good	0.736 \| good	10.291 \| good	0.604 \| good
2026-03-09T13:00:00.000Z	38 \| good	7.212 \| good	23.975 \| good	7.539 \| good	0.621 \| good	10.273 \| good	0.649 \| good
2026-03-09T14:00:00.000Z	44 \| good	7.717 \| good	32.466 \| good	8.103 \| good	0.772 \| good	11.865 \| good	0.534 \| good
2026-03-09T15:00:00.000Z	22 \| good	4.226 \| good	10.924 \| good	14.205 \| good	0.858 \| good	11.311 \| good	0.404 \| good
2026-03-09T16:00:00.000Z	22 \| good	4.187 \| good	12.648 \| good	19.966 \| good	1.053 \| good	7.267 \| good	0.342 \| good
2026-03-09T17:00:00.000Z	22 \| good	4.327 \| good	19.056 \| good	22.792 \| good	0.993 \| good	7.127 \| good	0.249 \| good
2026-03-09T18:00:00.000Z	33 \| good	5.71 \| good	25.175 \| good	30.669 \| good	0.947 \| good	3.464 \| good	0.252 \| good
2026-03-09T19:00:00.000Z	32 \| good	4.827 \| good	17.244 \| good	35.225 \| good	0.643 \| good	4.734 \| good	0.23 \| good
2026-03-09T20:00:00.000Z	34 \| good	2.368 \| good	12.142 \| good	37.168 \| good	0.652 \| good	3.192 \| good	0.245 \| good
2026-03-09T21:00:00.000Z	40 \| good	4.086 \| good	20.485 \| good	43.06 \| good	0.505 \| good	4.318 \| good	0.265 \| good
2026-03-09T22:00:00.000Z	42 \| good	4.276 \| good	18.025 \| good	44.764 \| good	0.423 \| good	3.517 \| good	0.272 \| good
2026-03-09T23:00:00.000Z	40 \| good	5.126 \| good	22.868 \| good	43.11 \| good	0.407 \| good	4.493 \| good	0.296 \| good
2026-03-10T00:00:00.000Z	42 \| good	5.974 \| good	14.563 \| good	44.675 \| good	0.409 \| good	12.851 \| good	0.334 \| good
2026-03-10T01:00:00.000Z	49 \| good	9.332 \| good	51.73 \| good	41.07 \| good	0.466 \| good	14.008 \| good	0.333 \| good
2026-03-10T02:00:00.000Z	38 \| good	7.432 \| good	27.976 \| good	40.059 \| good	0.557 \| good	15.065 \| good	0.273 \| good
2026-03-10T03:00:00.000Z	33 \| good	4.668 \| good	20.822 \| good	35.604 \| good	3.372 \| good	13.855 \| good	0.242 \| good
2026-03-10T04:00:00.000Z	38 \| good	7.21 \| good	36.477 \| good	36.533 \| good	0.557 \| good	19.399 \| good	0.297 \| good
2026-03-10T05:00:00.000Z	49 \| good	9.05 \| good	35.58 \| good	35.391 \| good	0.641 \| good	18.751 \| good	0.298 \| good
2026-03-10T06:00:00.000Z	44 \| good	8.05 \| good	38.276 \| good	23.068 \| good	0.353 \| good	16.662 \| good	0.229 \| good
2026-03-10T07:00:00.000Z	44 \| good	7.96 \| good	24.124 \| good	30.557 \| good	0.379 \| good	18.461 \| good	0.229 \| good
2026-03-10T08:00:00.000Z	33 \| good	6.344 \| good	22.091 \| good	26.548 \| good	0.426 \| good	18.306 \| good	0.208 \| good
2026-03-10T09:00:00.000Z	32 \| good	5.258 \| good	16.665 \| good	35.065 \| good	0.436 \| good	17.357 \| good	0.221 \| good
2026-03-10T10:00:00.000Z	41 \| good	7.482 \| good	44.376 \| good	21.76 \| good	0.481 \| good	19.637 \| good	0.22 \| good
2026-03-10T11:00:00.000Z	49 \| good	8.546 \| good	37.773 \| good	17.988 \| good	0.699 \| good	19.319 \| good	0.305 \| good
2026-03-10T12:00:00.000Z	44 \| good	7.748 \| good	28.064 \| good	15.632 \| good	0.816 \| good	17.638 \| good	0.44 \| good
2026-03-10T13:00:00.000Z	38 \| good	6.923 \| good	28.804 \| good	15.23 \| good	0.806 \| good	16.625 \| good	0.478 \| good
2026-03-10T14:00:00.000Z	54 \| moderate	11.122 \| good	23.85 \| good	13.832 \| good	0.78 \| good	14.366 \| good	0.469 \| good
2026-03-10T15:00:00.000Z	49 \| good	8.745 \| good	31.095 \| good	13.844 \| good	0.714 \| good	11.661 \| good	0.399 \| good
2026-03-10T15:00:00.000Z	49 \| good	8.858 \| good	36.889 \| good	14.004 \| good	0.738 \| good	10.801 \| good	0.413 \| good
2026-03-10T15:00:00.000Z	31 \| good	4.178 \| good	18.076 \| good	34.038 \| good	3.539 \| good	6.069 \| good	0.254 \| good
2026-03-10T16:00:00.000Z	36 \| good	4.884 \| good	20.971 \| good	39.499 \| good	3.005 \| good	4.701 \| good	0.223 \| good
2026-03-10T17:00:00.000Z	40 \| good	2.757 \| good	11.069 \| good	42.725 \| good	2.471 \| good	3.333 \| good	0.193 \| good
2026-03-10T18:00:00.000Z	42 \| good	0.624 \| good	2.045 \| good	45.346 \| good	1.937 \| good	1.965 \| good	0.162 \| good
2026-03-10T19:00:00.000Z	39 \| good	1.698 \| good	6.969 \| good	42.061 \| good	1.722 \| good	1.915 \| good	0.157 \| good
2026-03-10T20:00:00.000Z	37 \| good	2.545 \| good	10.036 \| good	39.697 \| good	1.506 \| good	1.865 \| good	0.152 \| good
2026-03-10T21:00:00.000Z	34 \| good	3.503 \| good	15.675 \| good	36.747 \| good	1.291 \| good	1.815 \| good	0.147 \| good
2026-03-10T22:00:00.000Z	34 \| good	2.788 \| good	11.834 \| good	36.665 \| good	1.564 \| good	5.534 \| good	0.181 \| good
2026-03-10T23:00:00.000Z	33 \| good	5.72 \| good	24.792 \| good	36.139 \| good	1.837 \| good	9.253 \| good	0.215 \| good
2026-03-11T00:00:00.000Z	30 \| good	1.907 \| good	7.934 \| good	31.728 \| good	2.11 \| good	12.972 \| good	0.249 \| good
2026-03-11T01:00:00.000Z	33 \| good	5.753 \| good	24.86 \| good	31.363 \| good	2.409 \| good	15.131 \| good	0.266 \| good
2026-03-11T02:00:00.000Z	29 \| good	2.407 \| good	9.958 \| good	31.263 \| good	2.708 \| good	17.289 \| good	0.284 \| good
2026-03-11T03:00:00.000Z	26 \| good	3.161 \| good	13.814 \| good	28.389 \| good	3.007 \| good	19.447 \| good	0.301 \| good
2026-03-11T04:00:00.000Z	26 \| good	2.297 \| good	9.143 \| good	27.557 \| good	2.976 \| good	18.997 \| good	0.294 \| good
2026-03-11T05:00:00.000Z	25 \| good	3.801 \| good	16.932 \| good	26.603 \| good	2.946 \| good	18.547 \| good	0.286 \| good
2026-03-11T06:00:00.000Z	23 \| good	3.592 \| good	15.88 \| good	24.7 \| good	2.915 \| good	18.097 \| good	0.279 \| good
2026-03-11T07:00:00.000Z	33 \| good	5.928 \| good	26.677 \| good	27.782 \| good	2.82 \| good	17.524 \| good	0.274 \| good
2026-03-11T08:00:00.000Z	33 \| good	6.163 \| good	27.093 \| good	25.079 \| good	2.726 \| good	16.951 \| good	0.269 \| good
2026-03-11T09:00:00.000Z	38 \| good	7.131 \| good	31.954 \| good	21.093 \| good	2.632 \| good	16.378 \| good	0.264 \| good
2026-03-11T10:00:00.000Z	27 \| good	4.849 \| good	21.056 \| good	14.735 \| good	2.66 \| good	16.081 \| good	0.275 \| good
2026-03-11T11:00:00.000Z	33 \| good	5.935 \| good	26.721 \| good	8.418 \| good	2.687 \| good	15.783 \| good	0.286 \| good
2026-03-11T12:00:00.000Z	49 \| good	8.602 \| good	37.87 \| good	6.59 \| good	2.715 \| good	15.485 \| good	0.298 \| good
2026-03-11T13:00:00.000Z	49 \| good	8.704 \| good	38.202 \| good	11.529 \| good	2.817 \| good	14.262 \| good	0.287 \| good
2026-03-11T14:00:00.000Z	38 \| good	6.739 \| good	30.114 \| good	20.837 \| good	2.92 \| good	13.039 \| good	0.277 \| good
2026-03-11T15:00:00.000Z	33 \| good	5.835 \| good	25.286 \| good	26.109 \| good	3.022 \| good	11.816 \| good	0.266 \| good
2026-03-11T16:00:00.000Z	33 \| good	6.074 \| good	27.033 \| good	33.708 \| good	2.936 \| good	11.284 \| good	0.247 \| good
2026-03-11T17:00:00.000Z	43 \| good	5.154 \| good	22.218 \| good	46.151 \| good	2.85 \| good	10.751 \| good	0.228 \| good
2026-03-11T18:00:00.000Z	44 \| good	4.321 \| good	19.069 \| good	47.908 \| good	2.765 \| good	10.219 \| good	0.209 \| good
2026-03-11T19:00:00.000Z	47 \| good	6.962 \| good	30.972 \| good	50.517 \| good	2.525 \| good	10.613 \| good	0.205 \| good
2026-03-11T20:00:00.000Z	49 \| good	5.804 \| good	25.104 \| good	52.608 \| good	2.285 \| good	11.006 \| good	0.201 \| good
2026-03-11T21:00:00.000Z	46 \| good	4.614 \| good	20.02 \| good	49.625 \| good	2.045 \| good	11.4 \| good	0.197 \| good
2026-03-11T22:00:00.000Z	44 \| good	5.227 \| good	22.879 \| good	47.572 \| good	2.041 \| good	11.416 \| good	0.199 \| good
2026-03-11T23:00:00.000Z	38 \| good	7.029 \| good	31.535 \| good	41.166 \| good	2.037 \| good	11.432 \| good	0.201 \| good
2026-03-12T00:00:00.000Z	38 \| good	5.449 \| good	23.033 \| good	41.211 \| good	2.033 \| good	11.449 \| good	0.203 \| good
2026-03-12T01:00:00.000Z	34 \| good	5.932 \| good	26.588 \| good	37.408 \| good	1.97 \| good	10.107 \| good	0.196 \| good
2026-03-12T02:00:00.000Z	38 \| good	5.2 \| good	22.783 \| good	41.344 \| good	1.907 \| good	8.765 \| good	0.19 \| good
2026-03-12T03:00:00.000Z	38 \| good	4.967 \| good	21.056 \| good	40.878 \| good	1.844 \| good	7.422 \| good	0.183 \| good
2026-03-12T04:00:00.000Z	37 \| good	4.501 \| good	19.899 \| good	39.744 \| good	1.846 \| good	6.151 \| good	0.172 \| good
2026-03-12T05:00:00.000Z	35 \| good	4.913 \| good	21.121 \| good	37.613 \| good	1.848 \| good	4.88 \| good	0.161 \| good
2026-03-12T06:00:00.000Z	54 \| moderate	10.923 \| good	11.031 \| good	39.543 \| good	1.829 \| good	3.387 \| good	0.148 \| good
2026-03-12T07:00:00.000Z	32 \| good	1.292 \| good	5 \| good	35.018 \| good	1.777 \| good	3.257 \| good	0.14 \| good
2026-03-12T08:00:00.000Z	31 \| good	4.075 \| good	17.941 \| good	33.437 \| good	1.703 \| good	2.906 \| good	0.131 \| good
2026-03-12T09:00:00.000Z	33 \| good	6.191 \| good	27.848 \| good	31.935 \| good	1.63 \| good	2.554 \| good	0.121 \| good
2026-03-12T10:00:00.000Z	32 \| good	4.341 \| good	18.943 \| good	34.683 \| good	1.526 \| good	2.549 \| good	0.12 \| good
2026-03-12T11:00:00.000Z	31 \| good	3.549 \| good	15.884 \| good	32.966 \| good	1.422 \| good	2.543 \| good	0.118 \| good
2026-03-12T12:00:00.000Z	31 \| good	4.331 \| good	4.379 \| good	33.168 \| good	1.28 \| good	2.324 \| good	0.117 \| good
2026-03-12T13:00:00.000Z	31 \| good	1.991 \| good	2.006 \| good	34.258 \| good	0.957 \| good	1.96 \| good	0.133 \| good
2026-03-12T14:00:00.000Z	32 \| good	0.637 \| good	0.655 \| good	35.349 \| good	0.634 \| good	1.596 \| good	0.148 \| 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

Wallkill, 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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