What is the current concentration of PM10 in Webster Town, New York?

The current PM10 concentration at Webster Town, New York is 17.68 μg/m3.

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

The current sulfur dioxide (SO2) concentration at Webster Town, New York is 0.469 ppb.

What is the current concentration of ozone (O3) in Webster Town, New York?

The current ozone (O3) concentration at Webster Town, New York is 16.677 ppm.

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

The current nitrogen dioxide (NO2) concentration at Webster Town, New York is 8.927 ppb.

Webster Town, New York live air quality index now

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

Stay updated with real-time air quality in Webster 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

Webster Town, New York

Last updated: ... (Local time)

Major air pollutants in Webster Town, New York

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

3.03 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

13.29 μg/m³

155

255

425

605+

Ozone (O₃)

19.83 ppb

201

201+

Sulfur Dioxide (SO₂)

0.95 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

2.30 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.24 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Webster Town, New York

Get Live Pollen Counts

Webster Town, New York

Scroll To Air Quality Map

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

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T18:00:00.000Z	44 \| good	8.362 \| good	37.997 \| good	41.053 \| good	0.235 \| good	1.659 \| good	0.217 \| good
2025-10-19T19:00:00.000Z	49 \| good	9.256 \| good	40.903 \| good	43.059 \| good	0.255 \| good	1.867 \| good	0.205 \| good
2025-10-19T20:00:00.000Z	52 \| moderate	9.544 \| good	40.583 \| good	45.424 \| good	0.196 \| good	1.346 \| good	0.22 \| good
2025-10-19T21:00:00.000Z	52 \| moderate	10.032 \| good	39.246 \| good	42.858 \| good	0.224 \| good	1.52 \| good	0.215 \| good
2025-10-19T22:00:00.000Z	54 \| moderate	10.575 \| good	44.99 \| good	41.751 \| good	0.459 \| good	1.422 \| good	0.217 \| good
2025-10-19T23:00:00.000Z	54 \| moderate	10.544 \| good	44.257 \| good	36.492 \| good	0.539 \| good	1.717 \| good	0.202 \| good
2025-10-20T00:00:00.000Z	44 \| good	7.613 \| good	27.348 \| good	35.938 \| good	0.449 \| good	1.471 \| good	0.205 \| good
2025-10-20T01:00:00.000Z	38 \| good	7.197 \| good	32.249 \| good	40.875 \| good	0.435 \| good	1.688 \| good	0.217 \| good
2025-10-20T02:00:00.000Z	41 \| good	5.096 \| good	22.165 \| good	43.527 \| good	0.441 \| good	1.393 \| good	0.201 \| good
2025-10-20T03:00:00.000Z	36 \| good	3.871 \| good	17.039 \| good	39.151 \| good	0.613 \| good	0.966 \| good	0.186 \| good
2025-10-20T04:00:00.000Z	36 \| good	3.144 \| good	13.436 \| good	39.144 \| good	0.43 \| good	1.032 \| good	0.186 \| good
2025-10-20T05:00:00.000Z	33 \| good	3.74 \| good	16.805 \| good	35.699 \| good	0.444 \| good	1.36 \| good	0.197 \| good
2025-10-20T06:00:00.000Z	39 \| good	3.05 \| good	15.099 \| good	42.219 \| good	0.599 \| good	1.593 \| good	0.179 \| good
2025-10-20T07:00:00.000Z	42 \| good	2.592 \| good	10.938 \| good	44.666 \| good	0.313 \| good	1.592 \| good	0.173 \| good
2025-10-20T08:00:00.000Z	39 \| good	2.674 \| good	9.808 \| good	41.829 \| good	0.318 \| good	1.748 \| good	0.158 \| good
2025-10-20T09:00:00.000Z	28 \| good	2.381 \| good	9.751 \| good	30.157 \| good	0.443 \| good	0.985 \| good	0.141 \| good
2025-10-20T10:00:00.000Z	30 \| good	2.297 \| good	6.17 \| good	31.784 \| good	0.446 \| good	2.017 \| good	0.181 \| good
2025-10-20T11:00:00.000Z	23 \| good	2.483 \| good	9.602 \| good	25.089 \| good	0.187 \| good	0.7 \| good	0.173 \| good
2025-10-20T12:00:00.000Z	23 \| good	2.073 \| good	8.666 \| good	24.834 \| good	0.412 \| good	1.059 \| good	0.187 \| good
2025-10-20T13:00:00.000Z	23 \| good	2.268 \| good	9.544 \| good	25.247 \| good	0.422 \| good	0.99 \| good	0.205 \| good
2025-10-20T14:00:00.000Z	20 \| good	2.062 \| good	9.129 \| good	21.959 \| good	0.445 \| good	1.171 \| good	0.212 \| good
2025-10-20T15:00:00.000Z	23 \| good	1.901 \| good	9.226 \| good	25.489 \| good	0.39 \| good	0.938 \| good	0.212 \| good
2025-10-20T16:00:00.000Z	25 \| good	1.682 \| good	6.66 \| good	26.762 \| good	0.642 \| good	1.859 \| good	0.22 \| good
2025-10-20T17:00:00.000Z	22 \| good	1.609 \| good	8.913 \| good	23.532 \| good	0.579 \| good	1.138 \| good	0.197 \| good
2025-10-20T18:00:00.000Z	23 \| good	1.701 \| good	10.051 \| good	25.069 \| good	0.568 \| good	0.992 \| good	0.166 \| good
2025-10-20T19:00:00.000Z	26 \| good	2.242 \| good	15.105 \| good	27.763 \| good	0.711 \| good	1.166 \| good	0.16 \| good
2025-10-20T20:00:00.000Z	27 \| good	2.708 \| good	10.625 \| good	28.718 \| good	0.552 \| good	2.014 \| good	0.161 \| good
2025-10-20T21:00:00.000Z	24 \| good	3.044 \| good	11.744 \| good	25.866 \| good	0.386 \| good	1.009 \| good	0.168 \| good
2025-10-20T22:00:00.000Z	24 \| good	2.673 \| good	10.347 \| good	26.484 \| good	0.631 \| good	1.003 \| good	0.173 \| good
2025-10-20T23:00:00.000Z	24 \| good	3.083 \| good	13.231 \| good	26.191 \| good	0.462 \| good	0.945 \| good	0.157 \| good
2025-10-21T00:00:00.000Z	22 \| good	2.983 \| good	12.711 \| good	24.026 \| good	0.428 \| good	1.204 \| good	0.167 \| good
2025-10-21T01:00:00.000Z	22 \| good	2.654 \| good	11.059 \| good	24.499 \| good	0.475 \| good	1.573 \| good	0.203 \| good
2025-10-21T02:00:00.000Z	19 \| good	3.028 \| good	13.26 \| good	20.156 \| good	0.598 \| good	2.382 \| good	0.242 \| good
2025-10-21T03:00:00.000Z	23 \| good	0.951 \| good	4.061 \| good	24.843 \| good	0.478 \| good	3.05 \| good	0.131 \| good
2025-10-21T04:00:00.000Z	16 \| good	2.792 \| good	11.236 \| good	13.627 \| good	0.656 \| good	1.423 \| good	0.24 \| good
2025-10-21T05:00:00.000Z	15 \| good	2.358 \| good	9.688 \| good	16.065 \| good	0.661 \| good	2.276 \| good	0.299 \| good
2025-10-21T06:00:00.000Z	27 \| good	3.588 \| good	28.736 \| good	12.952 \| good	0.674 \| good	1.919 \| good	0.273 \| good
2025-10-21T07:00:00.000Z	22 \| good	3.882 \| good	21.37 \| good	9.539 \| good	0.66 \| good	2.366 \| good	0.256 \| good
2025-10-21T08:00:00.000Z	16 \| good	2.911 \| good	12.669 \| good	11.926 \| good	0.357 \| good	4.573 \| good	0.256 \| good
2025-10-21T09:00:00.000Z	52 \| moderate	7.908 \| good	57.13 \| fine	7.992 \| good	0.214 \| good	4.431 \| good	0.264 \| good
2025-10-21T10:00:00.000Z	16 \| good	2.855 \| good	14.553 \| good	5.312 \| good	0.25 \| good	5.693 \| good	0.307 \| good
2025-10-21T11:00:00.000Z	16 \| good	2.697 \| good	13.645 \| good	7.461 \| good	0.318 \| good	5.459 \| good	0.275 \| good
2025-10-21T12:00:00.000Z	16 \| good	3.244 \| good	14.698 \| good	9.404 \| good	0.378 \| good	8.338 \| good	0.414 \| good
2025-10-21T13:00:00.000Z	18 \| good	3.404 \| good	18.948 \| good	10.832 \| good	0.339 \| good	9.189 \| good	0.42 \| good
2025-10-21T14:00:00.000Z	22 \| good	3.922 \| good	17.98 \| good	10.954 \| good	0.408 \| good	7.953 \| good	0.461 \| good
2025-10-21T15:00:00.000Z	16 \| good	3.483 \| good	15.183 \| good	13.483 \| good	1.017 \| good	3.209 \| good	0.285 \| good
2025-10-21T16:00:00.000Z	19 \| good	3.033 \| good	13.291 \| good	19.829 \| good	0.946 \| good	2.297 \| good	0.236 \| good
2025-10-21T17:00:00.000Z	21 \| good	3.16 \| good	14.097 \| good	23.211 \| good	0.797 \| good	1.908 \| good	0.207 \| good
2025-10-21T17:00:00.000Z	19 \| good	3.033 \| good	13.291 \| good	19.829 \| good	0.946 \| good	2.297 \| good	0.236 \| good
2025-10-17T16:00:00.000Z	23 \| good	0.447 \| good	1.963 \| good	25.244 \| good	0.359 \| good	2.201 \| good	0.145 \| good
2025-10-17T17:00:00.000Z	23 \| good	0.49 \| good	2 \| good	24.957 \| good	0.327 \| good	1.67 \| good	0.138 \| good
2025-10-17T18:00:00.000Z	23 \| good	0.4 \| good	1.784 \| good	25.181 \| good	0.295 \| good	1.138 \| good	0.13 \| good
2025-10-17T19:00:00.000Z	24 \| good	0.435 \| good	1.973 \| good	26.125 \| good	0.325 \| good	1.395 \| good	0.132 \| good
2025-10-17T20:00:00.000Z	26 \| good	0.923 \| good	3.894 \| good	27.906 \| good	0.356 \| good	1.651 \| good	0.134 \| good
2025-10-17T21:00:00.000Z	27 \| good	0.552 \| good	2.021 \| good	28.686 \| good	0.386 \| good	1.908 \| good	0.136 \| good
2025-10-17T22:00:00.000Z	25 \| good	0.868 \| good	3.11 \| good	26.522 \| good	0.431 \| good	4.277 \| good	0.157 \| good
2025-10-17T23:00:00.000Z	16 \| good	0.952 \| good	3.996 \| good	17.048 \| good	0.476 \| good	6.646 \| good	0.177 \| good
2025-10-18T00:00:00.000Z	11 \| good	0.505 \| good	2.068 \| good	11.818 \| good	0.521 \| good	9.014 \| good	0.198 \| good
2025-10-18T01:00:00.000Z	10 \| good	0.272 \| good	1.084 \| good	10.704 \| good	0.538 \| good	8.312 \| good	0.194 \| good
2025-10-18T02:00:00.000Z	8 \| good	1.182 \| good	4.96 \| good	8.345 \| good	0.554 \| good	7.61 \| good	0.189 \| good
2025-10-18T03:00:00.000Z	16 \| good	2.906 \| good	12.329 \| good	8.948 \| good	0.571 \| good	6.908 \| good	0.185 \| good
2025-10-18T04:00:00.000Z	16 \| good	3.256 \| good	13.961 \| good	10.456 \| good	0.563 \| good	6.311 \| good	0.181 \| good
2025-10-18T05:00:00.000Z	16 \| good	3.404 \| good	14.86 \| good	10.064 \| good	0.555 \| good	5.714 \| good	0.177 \| good
2025-10-18T06:00:00.000Z	22 \| good	3.932 \| good	16.875 \| good	11.358 \| good	0.546 \| good	5.117 \| good	0.173 \| good
2025-10-18T07:00:00.000Z	22 \| good	3.607 \| good	15.924 \| good	12.87 \| good	0.533 \| good	4.854 \| good	0.171 \| good
2025-10-18T08:00:00.000Z	16 \| good	2.96 \| good	12.218 \| good	12.161 \| good	0.519 \| good	4.591 \| good	0.169 \| good
2025-10-18T09:00:00.000Z	16 \| good	2.954 \| good	12.179 \| good	15.621 \| good	0.505 \| good	4.328 \| good	0.168 \| good
2025-10-18T10:00:00.000Z	16 \| good	2.579 \| good	10.152 \| good	16.693 \| good	0.5 \| good	4.544 \| good	0.169 \| good
2025-10-18T11:00:00.000Z	16 \| good	1.577 \| good	6.17 \| good	17.186 \| good	0.495 \| good	4.761 \| good	0.17 \| good
2025-10-18T12:00:00.000Z	19 \| good	1.295 \| good	5.01 \| good	20.885 \| good	0.49 \| good	4.977 \| good	0.171 \| good
2025-10-18T13:00:00.000Z	22 \| good	1.512 \| good	6.009 \| good	23.51 \| good	0.499 \| good	4.709 \| good	0.173 \| good
2025-10-18T14:00:00.000Z	26 \| good	1.733 \| good	6.997 \| good	27.86 \| good	0.507 \| good	4.441 \| good	0.175 \| good
2025-10-18T15:00:00.000Z	29 \| good	3.298 \| good	14.688 \| good	31.45 \| good	0.515 \| good	4.173 \| good	0.177 \| good
2025-10-18T16:00:00.000Z	31 \| good	3.117 \| good	13.616 \| good	33.481 \| good	0.55 \| good	3.645 \| good	0.172 \| good
2025-10-18T17:00:00.000Z	32 \| good	4.345 \| good	18.991 \| good	35.389 \| good	0.585 \| good	3.117 \| good	0.166 \| good
2025-10-18T18:00:00.000Z	36 \| good	4.972 \| good	21.239 \| good	39.066 \| good	0.619 \| good	2.589 \| good	0.161 \| good
2025-10-18T19:00:00.000Z	36 \| good	5.158 \| good	22.57 \| good	38.565 \| good	0.733 \| good	2.54 \| good	0.157 \| good
2025-10-18T20:00:00.000Z	36 \| good	4.81 \| good	20.77 \| good	39.09 \| good	0.847 \| good	2.49 \| good	0.153 \| good
2025-10-18T21:00:00.000Z	36 \| good	3.506 \| good	15.742 \| good	38.801 \| good	0.961 \| good	2.441 \| good	0.149 \| good
2025-10-18T22:00:00.000Z	31 \| good	2.843 \| good	11.907 \| good	32.536 \| good	1.307 \| good	3.131 \| good	0.152 \| good
2025-10-18T23:00:00.000Z	24 \| good	3.109 \| good	12.496 \| good	26.061 \| good	1.654 \| good	3.822 \| good	0.155 \| good
2025-10-19T00:00:00.000Z	21 \| good	2.775 \| good	11.196 \| good	23.425 \| good	2 \| good	4.513 \| good	0.158 \| good
2025-10-19T01:00:00.000Z	22 \| good	3.663 \| good	16.036 \| good	20.289 \| good	2.202 \| good	4.079 \| good	0.161 \| good
2025-10-19T02:00:00.000Z	33 \| good	5.91 \| good	26.729 \| good	21.669 \| good	2.405 \| good	3.645 \| good	0.164 \| good
2025-10-19T03:00:00.000Z	33 \| good	6.261 \| good	27.955 \| good	23.439 \| good	2.607 \| good	3.212 \| good	0.167 \| good
2025-10-19T04:00:00.000Z	33 \| good	6.023 \| good	27 \| good	25.19 \| good	2.575 \| good	2.935 \| good	0.169 \| good
2025-10-19T05:00:00.000Z	33 \| good	5.91 \| good	26.889 \| good	27.681 \| good	2.543 \| good	2.658 \| good	0.17 \| good
2025-10-19T06:00:00.000Z	33 \| good	6.282 \| good	28.037 \| good	31.667 \| good	2.511 \| good	2.381 \| good	0.172 \| good
2025-10-19T07:00:00.000Z	38 \| good	6.576 \| good	29.072 \| good	33.257 \| good	2.565 \| good	2.263 \| good	0.177 \| good
2025-10-19T08:00:00.000Z	44 \| good	7.568 \| good	33.199 \| good	35.792 \| good	2.618 \| good	2.146 \| good	0.183 \| good
2025-10-19T09:00:00.000Z	38 \| good	6.71 \| good	29.946 \| good	34.958 \| good	2.672 \| good	2.028 \| good	0.189 \| good
2025-10-19T10:00:00.000Z	35 \| good	6.111 \| good	27.072 \| good	37.683 \| good	2.611 \| good	2.209 \| good	0.192 \| good
2025-10-19T11:00:00.000Z	34 \| good	5.996 \| good	26.949 \| good	36.663 \| good	2.55 \| good	2.391 \| good	0.196 \| good
2025-10-19T12:00:00.000Z	38 \| good	6.623 \| good	29.919 \| good	38.428 \| good	2.489 \| good	2.572 \| good	0.199 \| good
2025-10-19T13:00:00.000Z	49 \| good	9.317 \| good	41.801 \| good	40.26 \| good	2.345 \| good	2.65 \| good	0.201 \| good
2025-10-19T14:00:00.000Z	54 \| moderate	10.624 \| good	47.007 \| good	40.357 \| good	2.201 \| good	2.728 \| good	0.203 \| good
2025-10-19T15:00:00.000Z	56 \| moderate	12.333 \| fine	55.143 \| fine	43.164 \| good	2.057 \| good	2.806 \| good	0.204 \| good

Webster town

Get reliable air quality data to drive your business

Webster Town, 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

Air quality levels in US

Check live rankings of places in the USA affected by air pollution.

View Polluted Cities

Check live rankings of places in the USA with the cleanest air.

View Clean Cities

Frequently asked questions

How often is the air quality data for Webster Town, New York updated?

The air quality for Webster Town, New York is updated every hour.

When was the worst air quality at Webster Town, New York in the last 24 hrs?

The worst air quality in Webster Town, New York in the last 24 hours was observed at 11:00:00 on 2025-10-16.

When was the best air quality at Webster Town, New York in the last 24 hrs?

In the last 24 hrs, the best air quality in Webster Town, New York was observed at 01:00:00 on 2025-10-17.

What is the current air quality in Webster Town, New York?

The current air quality in Webster Town, New York is 22, categorized as Good based on real-time data.

What pollutant is the most common in Webster Town, New York?

The most common pollutant in Webster Town, New York is PM2.5.

What should I do if the air quality in Webster Town, New York is poor?

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

What is the current concentration of PM_2.5 in Webster Town, New York?

The current PM_2.5 concentration at Webster Town, New York is 4.02 μg/m³.

What is the current concentration of PM₁₀ in Webster Town, New York?

The current PM₁₀ concentration at Webster Town, New York is 17.68 μg/m³.

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

The current carbon monoxide (CO) concentration at Webster Town, New York is 0.33 ppm.

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

The current sulfur dioxide (SO₂) concentration at Webster Town, New York is 0.469 ppb.

What is the current concentration of ozone (O₃) in Webster Town, New York?

The current ozone (O₃) concentration at Webster Town, New York is 16.677 ppm.

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

The current nitrogen dioxide (NO₂) concentration at Webster Town, New York is 8.927 ppb.

Certified

APIs

Refund Policy

Historical Climate Data

Terms & Conditions

Refund Policy

Terms & Conditions

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T18:00:00.000Z	44 \| good	8.362 \| good	37.997 \| good	41.053 \| good	0.235 \| good	1.659 \| good	0.217 \| good
2025-10-19T19:00:00.000Z	49 \| good	9.256 \| good	40.903 \| good	43.059 \| good	0.255 \| good	1.867 \| good	0.205 \| good
2025-10-19T20:00:00.000Z	52 \| moderate	9.544 \| good	40.583 \| good	45.424 \| good	0.196 \| good	1.346 \| good	0.22 \| good
2025-10-19T21:00:00.000Z	52 \| moderate	10.032 \| good	39.246 \| good	42.858 \| good	0.224 \| good	1.52 \| good	0.215 \| good
2025-10-19T22:00:00.000Z	54 \| moderate	10.575 \| good	44.99 \| good	41.751 \| good	0.459 \| good	1.422 \| good	0.217 \| good
2025-10-19T23:00:00.000Z	54 \| moderate	10.544 \| good	44.257 \| good	36.492 \| good	0.539 \| good	1.717 \| good	0.202 \| good
2025-10-20T00:00:00.000Z	44 \| good	7.613 \| good	27.348 \| good	35.938 \| good	0.449 \| good	1.471 \| good	0.205 \| good
2025-10-20T01:00:00.000Z	38 \| good	7.197 \| good	32.249 \| good	40.875 \| good	0.435 \| good	1.688 \| good	0.217 \| good
2025-10-20T02:00:00.000Z	41 \| good	5.096 \| good	22.165 \| good	43.527 \| good	0.441 \| good	1.393 \| good	0.201 \| good
2025-10-20T03:00:00.000Z	36 \| good	3.871 \| good	17.039 \| good	39.151 \| good	0.613 \| good	0.966 \| good	0.186 \| good
2025-10-20T04:00:00.000Z	36 \| good	3.144 \| good	13.436 \| good	39.144 \| good	0.43 \| good	1.032 \| good	0.186 \| good
2025-10-20T05:00:00.000Z	33 \| good	3.74 \| good	16.805 \| good	35.699 \| good	0.444 \| good	1.36 \| good	0.197 \| good
2025-10-20T06:00:00.000Z	39 \| good	3.05 \| good	15.099 \| good	42.219 \| good	0.599 \| good	1.593 \| good	0.179 \| good
2025-10-20T07:00:00.000Z	42 \| good	2.592 \| good	10.938 \| good	44.666 \| good	0.313 \| good	1.592 \| good	0.173 \| good
2025-10-20T08:00:00.000Z	39 \| good	2.674 \| good	9.808 \| good	41.829 \| good	0.318 \| good	1.748 \| good	0.158 \| good
2025-10-20T09:00:00.000Z	28 \| good	2.381 \| good	9.751 \| good	30.157 \| good	0.443 \| good	0.985 \| good	0.141 \| good
2025-10-20T10:00:00.000Z	30 \| good	2.297 \| good	6.17 \| good	31.784 \| good	0.446 \| good	2.017 \| good	0.181 \| good
2025-10-20T11:00:00.000Z	23 \| good	2.483 \| good	9.602 \| good	25.089 \| good	0.187 \| good	0.7 \| good	0.173 \| good
2025-10-20T12:00:00.000Z	23 \| good	2.073 \| good	8.666 \| good	24.834 \| good	0.412 \| good	1.059 \| good	0.187 \| good
2025-10-20T13:00:00.000Z	23 \| good	2.268 \| good	9.544 \| good	25.247 \| good	0.422 \| good	0.99 \| good	0.205 \| good
2025-10-20T14:00:00.000Z	20 \| good	2.062 \| good	9.129 \| good	21.959 \| good	0.445 \| good	1.171 \| good	0.212 \| good
2025-10-20T15:00:00.000Z	23 \| good	1.901 \| good	9.226 \| good	25.489 \| good	0.39 \| good	0.938 \| good	0.212 \| good
2025-10-20T16:00:00.000Z	25 \| good	1.682 \| good	6.66 \| good	26.762 \| good	0.642 \| good	1.859 \| good	0.22 \| good
2025-10-20T17:00:00.000Z	22 \| good	1.609 \| good	8.913 \| good	23.532 \| good	0.579 \| good	1.138 \| good	0.197 \| good
2025-10-20T18:00:00.000Z	23 \| good	1.701 \| good	10.051 \| good	25.069 \| good	0.568 \| good	0.992 \| good	0.166 \| good
2025-10-20T19:00:00.000Z	26 \| good	2.242 \| good	15.105 \| good	27.763 \| good	0.711 \| good	1.166 \| good	0.16 \| good
2025-10-20T20:00:00.000Z	27 \| good	2.708 \| good	10.625 \| good	28.718 \| good	0.552 \| good	2.014 \| good	0.161 \| good
2025-10-20T21:00:00.000Z	24 \| good	3.044 \| good	11.744 \| good	25.866 \| good	0.386 \| good	1.009 \| good	0.168 \| good
2025-10-20T22:00:00.000Z	24 \| good	2.673 \| good	10.347 \| good	26.484 \| good	0.631 \| good	1.003 \| good	0.173 \| good
2025-10-20T23:00:00.000Z	24 \| good	3.083 \| good	13.231 \| good	26.191 \| good	0.462 \| good	0.945 \| good	0.157 \| good
2025-10-21T00:00:00.000Z	22 \| good	2.983 \| good	12.711 \| good	24.026 \| good	0.428 \| good	1.204 \| good	0.167 \| good
2025-10-21T01:00:00.000Z	22 \| good	2.654 \| good	11.059 \| good	24.499 \| good	0.475 \| good	1.573 \| good	0.203 \| good
2025-10-21T02:00:00.000Z	19 \| good	3.028 \| good	13.26 \| good	20.156 \| good	0.598 \| good	2.382 \| good	0.242 \| good
2025-10-21T03:00:00.000Z	23 \| good	0.951 \| good	4.061 \| good	24.843 \| good	0.478 \| good	3.05 \| good	0.131 \| good
2025-10-21T04:00:00.000Z	16 \| good	2.792 \| good	11.236 \| good	13.627 \| good	0.656 \| good	1.423 \| good	0.24 \| good
2025-10-21T05:00:00.000Z	15 \| good	2.358 \| good	9.688 \| good	16.065 \| good	0.661 \| good	2.276 \| good	0.299 \| good
2025-10-21T06:00:00.000Z	27 \| good	3.588 \| good	28.736 \| good	12.952 \| good	0.674 \| good	1.919 \| good	0.273 \| good
2025-10-21T07:00:00.000Z	22 \| good	3.882 \| good	21.37 \| good	9.539 \| good	0.66 \| good	2.366 \| good	0.256 \| good
2025-10-21T08:00:00.000Z	16 \| good	2.911 \| good	12.669 \| good	11.926 \| good	0.357 \| good	4.573 \| good	0.256 \| good
2025-10-21T09:00:00.000Z	52 \| moderate	7.908 \| good	57.13 \| fine	7.992 \| good	0.214 \| good	4.431 \| good	0.264 \| good
2025-10-21T10:00:00.000Z	16 \| good	2.855 \| good	14.553 \| good	5.312 \| good	0.25 \| good	5.693 \| good	0.307 \| good
2025-10-21T11:00:00.000Z	16 \| good	2.697 \| good	13.645 \| good	7.461 \| good	0.318 \| good	5.459 \| good	0.275 \| good
2025-10-21T12:00:00.000Z	16 \| good	3.244 \| good	14.698 \| good	9.404 \| good	0.378 \| good	8.338 \| good	0.414 \| good
2025-10-21T13:00:00.000Z	18 \| good	3.404 \| good	18.948 \| good	10.832 \| good	0.339 \| good	9.189 \| good	0.42 \| good
2025-10-21T14:00:00.000Z	22 \| good	3.922 \| good	17.98 \| good	10.954 \| good	0.408 \| good	7.953 \| good	0.461 \| good
2025-10-21T15:00:00.000Z	16 \| good	3.483 \| good	15.183 \| good	13.483 \| good	1.017 \| good	3.209 \| good	0.285 \| good
2025-10-21T16:00:00.000Z	19 \| good	3.033 \| good	13.291 \| good	19.829 \| good	0.946 \| good	2.297 \| good	0.236 \| good
2025-10-21T17:00:00.000Z	21 \| good	3.16 \| good	14.097 \| good	23.211 \| good	0.797 \| good	1.908 \| good	0.207 \| good
2025-10-21T17:00:00.000Z	19 \| good	3.033 \| good	13.291 \| good	19.829 \| good	0.946 \| good	2.297 \| good	0.236 \| good
2025-10-17T16:00:00.000Z	23 \| good	0.447 \| good	1.963 \| good	25.244 \| good	0.359 \| good	2.201 \| good	0.145 \| good
2025-10-17T17:00:00.000Z	23 \| good	0.49 \| good	2 \| good	24.957 \| good	0.327 \| good	1.67 \| good	0.138 \| good
2025-10-17T18:00:00.000Z	23 \| good	0.4 \| good	1.784 \| good	25.181 \| good	0.295 \| good	1.138 \| good	0.13 \| good
2025-10-17T19:00:00.000Z	24 \| good	0.435 \| good	1.973 \| good	26.125 \| good	0.325 \| good	1.395 \| good	0.132 \| good
2025-10-17T20:00:00.000Z	26 \| good	0.923 \| good	3.894 \| good	27.906 \| good	0.356 \| good	1.651 \| good	0.134 \| good
2025-10-17T21:00:00.000Z	27 \| good	0.552 \| good	2.021 \| good	28.686 \| good	0.386 \| good	1.908 \| good	0.136 \| good
2025-10-17T22:00:00.000Z	25 \| good	0.868 \| good	3.11 \| good	26.522 \| good	0.431 \| good	4.277 \| good	0.157 \| good
2025-10-17T23:00:00.000Z	16 \| good	0.952 \| good	3.996 \| good	17.048 \| good	0.476 \| good	6.646 \| good	0.177 \| good
2025-10-18T00:00:00.000Z	11 \| good	0.505 \| good	2.068 \| good	11.818 \| good	0.521 \| good	9.014 \| good	0.198 \| good
2025-10-18T01:00:00.000Z	10 \| good	0.272 \| good	1.084 \| good	10.704 \| good	0.538 \| good	8.312 \| good	0.194 \| good
2025-10-18T02:00:00.000Z	8 \| good	1.182 \| good	4.96 \| good	8.345 \| good	0.554 \| good	7.61 \| good	0.189 \| good
2025-10-18T03:00:00.000Z	16 \| good	2.906 \| good	12.329 \| good	8.948 \| good	0.571 \| good	6.908 \| good	0.185 \| good
2025-10-18T04:00:00.000Z	16 \| good	3.256 \| good	13.961 \| good	10.456 \| good	0.563 \| good	6.311 \| good	0.181 \| good
2025-10-18T05:00:00.000Z	16 \| good	3.404 \| good	14.86 \| good	10.064 \| good	0.555 \| good	5.714 \| good	0.177 \| good
2025-10-18T06:00:00.000Z	22 \| good	3.932 \| good	16.875 \| good	11.358 \| good	0.546 \| good	5.117 \| good	0.173 \| good
2025-10-18T07:00:00.000Z	22 \| good	3.607 \| good	15.924 \| good	12.87 \| good	0.533 \| good	4.854 \| good	0.171 \| good
2025-10-18T08:00:00.000Z	16 \| good	2.96 \| good	12.218 \| good	12.161 \| good	0.519 \| good	4.591 \| good	0.169 \| good
2025-10-18T09:00:00.000Z	16 \| good	2.954 \| good	12.179 \| good	15.621 \| good	0.505 \| good	4.328 \| good	0.168 \| good
2025-10-18T10:00:00.000Z	16 \| good	2.579 \| good	10.152 \| good	16.693 \| good	0.5 \| good	4.544 \| good	0.169 \| good
2025-10-18T11:00:00.000Z	16 \| good	1.577 \| good	6.17 \| good	17.186 \| good	0.495 \| good	4.761 \| good	0.17 \| good
2025-10-18T12:00:00.000Z	19 \| good	1.295 \| good	5.01 \| good	20.885 \| good	0.49 \| good	4.977 \| good	0.171 \| good
2025-10-18T13:00:00.000Z	22 \| good	1.512 \| good	6.009 \| good	23.51 \| good	0.499 \| good	4.709 \| good	0.173 \| good
2025-10-18T14:00:00.000Z	26 \| good	1.733 \| good	6.997 \| good	27.86 \| good	0.507 \| good	4.441 \| good	0.175 \| good
2025-10-18T15:00:00.000Z	29 \| good	3.298 \| good	14.688 \| good	31.45 \| good	0.515 \| good	4.173 \| good	0.177 \| good
2025-10-18T16:00:00.000Z	31 \| good	3.117 \| good	13.616 \| good	33.481 \| good	0.55 \| good	3.645 \| good	0.172 \| good
2025-10-18T17:00:00.000Z	32 \| good	4.345 \| good	18.991 \| good	35.389 \| good	0.585 \| good	3.117 \| good	0.166 \| good
2025-10-18T18:00:00.000Z	36 \| good	4.972 \| good	21.239 \| good	39.066 \| good	0.619 \| good	2.589 \| good	0.161 \| good
2025-10-18T19:00:00.000Z	36 \| good	5.158 \| good	22.57 \| good	38.565 \| good	0.733 \| good	2.54 \| good	0.157 \| good
2025-10-18T20:00:00.000Z	36 \| good	4.81 \| good	20.77 \| good	39.09 \| good	0.847 \| good	2.49 \| good	0.153 \| good
2025-10-18T21:00:00.000Z	36 \| good	3.506 \| good	15.742 \| good	38.801 \| good	0.961 \| good	2.441 \| good	0.149 \| good
2025-10-18T22:00:00.000Z	31 \| good	2.843 \| good	11.907 \| good	32.536 \| good	1.307 \| good	3.131 \| good	0.152 \| good
2025-10-18T23:00:00.000Z	24 \| good	3.109 \| good	12.496 \| good	26.061 \| good	1.654 \| good	3.822 \| good	0.155 \| good
2025-10-19T00:00:00.000Z	21 \| good	2.775 \| good	11.196 \| good	23.425 \| good	2 \| good	4.513 \| good	0.158 \| good
2025-10-19T01:00:00.000Z	22 \| good	3.663 \| good	16.036 \| good	20.289 \| good	2.202 \| good	4.079 \| good	0.161 \| good
2025-10-19T02:00:00.000Z	33 \| good	5.91 \| good	26.729 \| good	21.669 \| good	2.405 \| good	3.645 \| good	0.164 \| good
2025-10-19T03:00:00.000Z	33 \| good	6.261 \| good	27.955 \| good	23.439 \| good	2.607 \| good	3.212 \| good	0.167 \| good
2025-10-19T04:00:00.000Z	33 \| good	6.023 \| good	27 \| good	25.19 \| good	2.575 \| good	2.935 \| good	0.169 \| good
2025-10-19T05:00:00.000Z	33 \| good	5.91 \| good	26.889 \| good	27.681 \| good	2.543 \| good	2.658 \| good	0.17 \| good
2025-10-19T06:00:00.000Z	33 \| good	6.282 \| good	28.037 \| good	31.667 \| good	2.511 \| good	2.381 \| good	0.172 \| good
2025-10-19T07:00:00.000Z	38 \| good	6.576 \| good	29.072 \| good	33.257 \| good	2.565 \| good	2.263 \| good	0.177 \| good
2025-10-19T08:00:00.000Z	44 \| good	7.568 \| good	33.199 \| good	35.792 \| good	2.618 \| good	2.146 \| good	0.183 \| good
2025-10-19T09:00:00.000Z	38 \| good	6.71 \| good	29.946 \| good	34.958 \| good	2.672 \| good	2.028 \| good	0.189 \| good
2025-10-19T10:00:00.000Z	35 \| good	6.111 \| good	27.072 \| good	37.683 \| good	2.611 \| good	2.209 \| good	0.192 \| good
2025-10-19T11:00:00.000Z	34 \| good	5.996 \| good	26.949 \| good	36.663 \| good	2.55 \| good	2.391 \| good	0.196 \| good
2025-10-19T12:00:00.000Z	38 \| good	6.623 \| good	29.919 \| good	38.428 \| good	2.489 \| good	2.572 \| good	0.199 \| good
2025-10-19T13:00:00.000Z	49 \| good	9.317 \| good	41.801 \| good	40.26 \| good	2.345 \| good	2.65 \| good	0.201 \| good
2025-10-19T14:00:00.000Z	54 \| moderate	10.624 \| good	47.007 \| good	40.357 \| good	2.201 \| good	2.728 \| good	0.203 \| good
2025-10-19T15:00:00.000Z	56 \| moderate	12.333 \| fine	55.143 \| fine	43.164 \| good	2.057 \| good	2.806 \| good	0.204 \| good

Webster Town, New York live air quality index now

Major air pollutants in Webster Town, New York

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

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

Get reliable air quality data to drive your business

Webster Town, New York air quality map: Track AQI near you

Air quality in nearby cities