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

The current PM10 levels in Lackawanna, New York are 25.179 μg/m3.

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

The current sulfur dioxide (SO2) levels in Lackawanna, New York are 0.478 ppb.

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

The current ozone (O3) levels at Lackawanna, New York is 25.234 ppm.

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

The current nitrogen dioxide (NO2) levels at Lackawanna, New York is 1.695 ppb.

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

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

Stay updated with real-time air quality in Lackawanna, 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

Lackawanna, New York

Last updated: ... (Local time)

Common air pollutants in Lackawanna, New York

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

7.45 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

26.71 μg/m³

155

255

425

605+

Ozone (O₃)

33.33 ppb

201

201+

Sulfur Dioxide (SO₂)

0.56 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

1.46 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.17 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Lackawanna, New York

Get Live Pollen Counts

Lackawanna, New York

Scroll To Air Quality Map

Track live Lackawanna, New York air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-07-25T17:00:00.000Z	42 \| good	6.34 \| good	45.107 \| good	36.473 \| good	0.815 \| good	2.715 \| good	0.211 \| good
2025-07-25T18:00:00.000Z	38 \| good	4.007 \| good	17.593 \| good	40.755 \| good	0.685 \| good	1.948 \| good	0.227 \| good
2025-07-25T19:00:00.000Z	43 \| good	5.014 \| good	28.523 \| good	46.087 \| good	0.412 \| good	2.211 \| good	0.171 \| good
2025-07-25T20:00:00.000Z	49 \| good	8.637 \| good	43.163 \| good	45.579 \| good	0.312 \| good	2.017 \| good	0.185 \| good
2025-07-25T21:00:00.000Z	47 \| good	6.911 \| good	51 \| good	45.892 \| good	0.39 \| good	1.984 \| good	0.191 \| good
2025-07-25T22:00:00.000Z	40 \| good	7.045 \| good	28.191 \| good	42.97 \| good	0.58 \| good	0.893 \| good	0.214 \| good
2025-07-25T23:00:00.000Z	44 \| good	8.34 \| good	37.857 \| good	39.716 \| good	0.674 \| good	1.442 \| good	0.259 \| good
2025-07-26T00:00:00.000Z	44 \| good	8.485 \| good	39.784 \| good	42.978 \| good	0.503 \| good	1.384 \| good	0.258 \| good
2025-07-26T01:00:00.000Z	49 \| good	8.569 \| good	33.117 \| good	39.158 \| good	0.543 \| good	2.923 \| good	0.268 \| good
2025-07-26T02:00:00.000Z	49 \| good	9.147 \| good	20.945 \| good	39.859 \| good	0.689 \| good	14.652 \| good	0.281 \| good
2025-07-26T03:00:00.000Z	52 \| moderate	10.183 \| good	44.103 \| good	33.957 \| good	1.255 \| good	13.064 \| good	0.321 \| good
2025-07-26T04:00:00.000Z	54 \| moderate	10.84 \| good	46.098 \| good	31.717 \| good	1.93 \| good	7.934 \| good	0.337 \| good
2025-07-26T05:00:00.000Z	54 \| moderate	11.32 \| good	49.078 \| good	32.037 \| good	1.045 \| good	7.366 \| good	0.376 \| good
2025-07-26T06:00:00.000Z	44 \| good	8.324 \| good	34.113 \| good	27.023 \| good	0.823 \| good	5.979 \| good	0.375 \| good
2025-07-26T07:00:00.000Z	33 \| good	6.343 \| good	27.302 \| good	20.87 \| good	0.524 \| good	5.045 \| good	0.392 \| good
2025-07-26T08:00:00.000Z	54 \| moderate	11.128 \| good	50.838 \| good	17.109 \| good	0.545 \| good	4.033 \| good	0.351 \| good
2025-07-26T09:00:00.000Z	54 \| moderate	11.216 \| good	49.93 \| good	21.774 \| good	0.683 \| good	2.85 \| good	0.374 \| good
2025-07-26T10:00:00.000Z	54 \| moderate	10.723 \| good	41.231 \| good	23.039 \| good	0.549 \| good	2.507 \| good	0.379 \| good
2025-07-26T11:00:00.000Z	56 \| moderate	11.624 \| good	36.155 \| good	27.054 \| good	0.52 \| good	3.861 \| good	0.377 \| good
2025-07-26T12:00:00.000Z	58 \| moderate	12.936 \| fine	47.288 \| good	24.462 \| good	0.527 \| good	2.798 \| good	0.396 \| good
2025-07-26T13:00:00.000Z	49 \| good	9.022 \| good	30.848 \| good	28.981 \| good	1.68 \| good	3.547 \| good	0.416 \| good
2025-07-26T14:00:00.000Z	56 \| moderate	11.818 \| good	32.251 \| good	29.289 \| good	4.436 \| good	3.691 \| good	0.443 \| good
2025-07-26T15:00:00.000Z	54 \| moderate	10.988 \| good	41.624 \| good	29.397 \| good	4.788 \| good	2.918 \| good	0.458 \| good
2025-07-26T16:00:00.000Z	97 \| moderate	33.852 \| fine	55.588 \| fine	31.128 \| good	7.391 \| good	2.242 \| good	0.425 \| good
2025-07-26T17:00:00.000Z	49 \| good	8.839 \| good	35.152 \| good	42.71 \| good	11.756 \| good	1.711 \| good	0.433 \| good
2025-07-26T18:00:00.000Z	44 \| good	7.945 \| good	36.493 \| good	41.165 \| good	13.968 \| good	1.863 \| good	0.425 \| good
2025-07-26T19:00:00.000Z	71 \| moderate	19.803 \| fine	70.958 \| fine	42.472 \| good	16.157 \| good	1.401 \| good	0.398 \| good
2025-07-26T20:00:00.000Z	42 \| good	6.597 \| good	29.053 \| good	45.099 \| good	12.761 \| good	1.086 \| good	0.329 \| good
2025-07-26T21:00:00.000Z	41 \| good	6.23 \| good	29.175 \| good	43.726 \| good	6.725 \| good	1.227 \| good	0.274 \| good
2025-07-26T22:00:00.000Z	44 \| good	7.611 \| good	23.915 \| good	46.875 \| good	4.606 \| good	1.525 \| good	0.268 \| good
2025-07-26T23:00:00.000Z	38 \| good	5.496 \| good	26.406 \| good	41.247 \| good	2.047 \| good	3.353 \| good	0.273 \| good
2025-07-27T00:00:00.000Z	49 \| good	8.894 \| good	37.522 \| good	38.571 \| good	0.968 \| good	4.346 \| good	0.264 \| good
2025-07-27T01:00:00.000Z	44 \| good	8.345 \| good	32.697 \| good	40.193 \| good	0.739 \| good	7.914 \| good	0.313 \| good
2025-07-27T02:00:00.000Z	44 \| good	8.356 \| good	25.283 \| good	43.379 \| good	0.865 \| good	2.728 \| good	0.279 \| good
2025-07-27T03:00:00.000Z	36 \| good	5.525 \| good	23.743 \| good	38.625 \| good	0.632 \| good	2.241 \| good	0.305 \| good
2025-07-27T04:00:00.000Z	38 \| good	6.592 \| good	29.706 \| good	35.681 \| good	0.501 \| good	1.723 \| good	0.239 \| good
2025-07-27T05:00:00.000Z	33 \| good	6.325 \| good	31.128 \| good	33.25 \| good	0.659 \| good	1.653 \| good	0.244 \| good
2025-07-27T06:00:00.000Z	38 \| good	6.974 \| good	29.128 \| good	36.47 \| good	0.541 \| good	1.584 \| good	0.248 \| good
2025-07-27T07:00:00.000Z	35 \| good	5.776 \| good	23.922 \| good	37.763 \| good	0.391 \| good	1.447 \| good	0.239 \| good
2025-07-27T08:00:00.000Z	38 \| good	6.659 \| good	29.401 \| good	34.364 \| good	0.594 \| good	1.467 \| good	0.191 \| good
2025-07-27T09:00:00.000Z	44 \| good	8.231 \| good	38.571 \| good	28.477 \| good	0.513 \| good	1.446 \| good	0.185 \| good
2025-07-27T10:00:00.000Z	33 \| good	6.391 \| good	28.263 \| good	25.702 \| good	0.648 \| good	1.365 \| good	0.174 \| good
2025-07-27T11:00:00.000Z	33 \| good	5.996 \| good	26.665 \| good	29.29 \| good	0.46 \| good	1.875 \| good	0.186 \| good
2025-07-27T12:00:00.000Z	38 \| good	6.676 \| good	33.4 \| good	31.793 \| good	0.481 \| good	1.937 \| good	0.191 \| good
2025-07-27T13:00:00.000Z	27 \| good	5.12 \| good	25.179 \| good	25.234 \| good	0.478 \| good	1.695 \| good	0.204 \| good
2025-07-27T14:00:00.000Z	33 \| good	6.265 \| good	29.592 \| good	29.817 \| good	0.707 \| good	1.98 \| good	0.188 \| good
2025-07-27T15:00:00.000Z	49 \| good	9.243 \| good	35.15 \| good	34.007 \| good	0.674 \| good	1.687 \| good	0.185 \| good
2025-07-27T16:00:00.000Z	38 \| good	7.452 \| good	26.711 \| good	33.325 \| good	0.563 \| good	1.46 \| good	0.175 \| good
2025-07-27T16:00:00.000Z	38 \| good	7.452 \| good	26.711 \| good	33.325 \| good	0.563 \| good	1.46 \| good	0.175 \| good
2025-07-27T15:00:00.000Z	43 \| good	7.367 \| good	32.445 \| good	45.898 \| good	0.409 \| good	2.095 \| good	0.206 \| good
2025-07-27T16:00:00.000Z	45 \| good	7.953 \| good	34.753 \| good	49.118 \| good	0.466 \| good	1.746 \| good	0.216 \| good
2025-07-27T17:00:00.000Z	48 \| good	8.07 \| good	35.479 \| good	51.837 \| good	0.522 \| good	1.397 \| good	0.226 \| good
2025-07-27T18:00:00.000Z	49 \| good	8.225 \| good	35.942 \| good	53.088 \| good	0.579 \| good	1.047 \| good	0.236 \| good
2025-07-27T19:00:00.000Z	49 \| good	9.274 \| good	41.649 \| good	52.707 \| good	0.583 \| good	1.117 \| good	0.233 \| good
2025-07-27T20:00:00.000Z	49 \| good	8.799 \| good	38.568 \| good	49.697 \| good	0.588 \| good	1.186 \| good	0.23 \| good
2025-07-27T21:00:00.000Z	46 \| good	7.935 \| good	34.818 \| good	50.465 \| good	0.593 \| good	1.255 \| good	0.226 \| good
2025-07-27T22:00:00.000Z	46 \| good	7.437 \| good	32.845 \| good	49.517 \| good	0.559 \| good	2.141 \| good	0.222 \| good
2025-07-27T23:00:00.000Z	44 \| good	7.252 \| good	32.34 \| good	48.117 \| good	0.525 \| good	3.028 \| good	0.219 \| good
2025-07-28T00:00:00.000Z	44 \| good	8.198 \| good	36.114 \| good	44.645 \| good	0.491 \| good	3.914 \| good	0.215 \| good
2025-07-28T01:00:00.000Z	49 \| good	9.245 \| good	41.291 \| good	45.153 \| good	0.495 \| good	4.344 \| good	0.216 \| good
2025-07-28T02:00:00.000Z	52 \| moderate	9.984 \| good	44.363 \| good	40.217 \| good	0.499 \| good	4.775 \| good	0.218 \| good
2025-07-28T03:00:00.000Z	52 \| moderate	10.432 \| good	46.385 \| good	36.217 \| good	0.504 \| good	5.205 \| good	0.22 \| good
2025-07-28T04:00:00.000Z	54 \| moderate	10.546 \| good	46.835 \| good	34.138 \| good	0.567 \| good	5.724 \| good	0.226 \| good
2025-07-28T05:00:00.000Z	56 \| moderate	12.42 \| fine	55.636 \| fine	27.418 \| good	0.63 \| good	6.244 \| good	0.232 \| good
2025-07-28T06:00:00.000Z	60 \| moderate	14.049 \| fine	62.788 \| fine	22.74 \| good	0.694 \| good	6.764 \| good	0.239 \| good
2025-07-28T07:00:00.000Z	64 \| moderate	16.192 \| fine	72.149 \| fine	21.44 \| good	0.737 \| good	7.103 \| good	0.242 \| good
2025-07-28T08:00:00.000Z	64 \| moderate	15.722 \| fine	70.496 \| fine	21.09 \| good	0.779 \| good	7.443 \| good	0.245 \| good
2025-07-28T09:00:00.000Z	64 \| moderate	16.136 \| fine	71.561 \| fine	17.947 \| good	0.822 \| good	7.782 \| good	0.248 \| good
2025-07-28T10:00:00.000Z	67 \| moderate	18.248 \| fine	80.977 \| fine	19.916 \| good	0.732 \| good	7.268 \| good	0.254 \| good
2025-07-28T11:00:00.000Z	66 \| moderate	17.453 \| fine	77.511 \| fine	21.174 \| good	0.642 \| good	6.754 \| good	0.261 \| good
2025-07-28T12:00:00.000Z	64 \| moderate	16.492 \| fine	73.556 \| fine	24.683 \| good	0.553 \| good	6.24 \| good	0.268 \| good
2025-07-28T13:00:00.000Z	67 \| moderate	17.78 \| fine	78.313 \| fine	32.345 \| good	0.781 \| good	5.105 \| good	0.255 \| good
2025-07-28T14:00:00.000Z	67 \| moderate	17.82 \| fine	78.676 \| fine	37.95 \| good	1.009 \| good	3.971 \| good	0.241 \| good
2025-07-28T15:00:00.000Z	67 \| moderate	17.688 \| fine	78.1 \| fine	44.753 \| good	1.238 \| good	2.836 \| good	0.228 \| good
2025-07-28T16:00:00.000Z	67 \| moderate	17.639 \| fine	78.438 \| fine	50.096 \| good	1.08 \| good	2.207 \| good	0.214 \| good
2025-07-28T17:00:00.000Z	67 \| moderate	17.51 \| fine	78.015 \| fine	51.713 \| good	0.922 \| good	1.578 \| good	0.201 \| good
2025-07-28T18:00:00.000Z	67 \| moderate	18.36 \| fine	80.676 \| fine	49.18 \| good	0.765 \| good	0.95 \| good	0.188 \| good
2025-07-28T19:00:00.000Z	69 \| moderate	19.443 \| fine	85.719 \| fine	50.367 \| good	0.743 \| good	0.993 \| good	0.183 \| good
2025-07-28T20:00:00.000Z	69 \| moderate	18.704 \| fine	82.353 \| fine	46.559 \| good	0.721 \| good	1.035 \| good	0.178 \| good
2025-07-28T21:00:00.000Z	67 \| moderate	17.523 \| fine	77.753 \| fine	45.407 \| good	0.7 \| good	1.078 \| good	0.173 \| good
2025-07-28T22:00:00.000Z	66 \| moderate	16.709 \| fine	74.323 \| fine	44.401 \| good	0.699 \| good	2.244 \| good	0.183 \| good
2025-07-28T23:00:00.000Z	64 \| moderate	15.519 \| fine	69.057 \| fine	45.558 \| good	0.698 \| good	3.409 \| good	0.193 \| good
2025-07-29T00:00:00.000Z	64 \| moderate	15.616 \| fine	69.549 \| fine	43.608 \| good	0.698 \| good	4.574 \| good	0.203 \| good
2025-07-29T01:00:00.000Z	62 \| moderate	15.101 \| fine	67.831 \| fine	44.525 \| good	0.726 \| good	4.858 \| good	0.205 \| good
2025-07-29T02:00:00.000Z	62 \| moderate	14.529 \| fine	65.436 \| fine	39.03 \| good	0.755 \| good	5.142 \| good	0.208 \| good
2025-07-29T03:00:00.000Z	60 \| moderate	14.007 \| fine	63.431 \| fine	35.378 \| good	0.784 \| good	5.426 \| good	0.21 \| good
2025-07-29T04:00:00.000Z	58 \| moderate	13.276 \| fine	59.807 \| fine	31.342 \| good	0.776 \| good	5.165 \| good	0.208 \| good
2025-07-29T05:00:00.000Z	58 \| moderate	13.316 \| fine	59.649 \| fine	29.589 \| good	0.769 \| good	4.905 \| good	0.207 \| good
2025-07-29T06:00:00.000Z	58 \| moderate	13.147 \| fine	59.346 \| fine	29.819 \| good	0.762 \| good	4.645 \| good	0.205 \| good
2025-07-29T07:00:00.000Z	58 \| moderate	13.366 \| fine	59.813 \| fine	27.2 \| good	0.725 \| good	3.994 \| good	0.201 \| good
2025-07-29T08:00:00.000Z	60 \| moderate	13.791 \| fine	61.651 \| fine	28.492 \| good	0.688 \| good	3.343 \| good	0.197 \| good
2025-07-29T09:00:00.000Z	56 \| moderate	12.065 \| good	54.344 \| good	29.673 \| good	0.651 \| good	2.692 \| good	0.192 \| good
2025-07-29T10:00:00.000Z	58 \| moderate	12.8 \| fine	57.624 \| fine	30.797 \| good	0.763 \| good	2.688 \| good	0.197 \| good
2025-07-29T11:00:00.000Z	58 \| moderate	12.923 \| fine	57.788 \| fine	29.864 \| good	0.874 \| good	2.683 \| good	0.202 \| good
2025-07-29T12:00:00.000Z	56 \| moderate	12.044 \| good	54.039 \| good	31.429 \| good	0.986 \| good	2.679 \| good	0.207 \| good
2025-07-29T13:00:00.000Z	56 \| moderate	11.825 \| good	52.158 \| good	37.43 \| good	1.742 \| good	2.328 \| good	0.21 \| good
2025-07-29T14:00:00.000Z	56 \| moderate	11.937 \| good	53.391 \| good	41.022 \| good	2.499 \| good	1.977 \| good	0.213 \| good

Lackawanna

Empower business decisions with accurate air quality data

Lackawanna, New York air quality map: Real-time AQI near you

0.20ppm

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 Lackawanna, New York updated?

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

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

The worst air quality in Lackawanna, New York was recorded at 04:00:00 on 2025-07-26.

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

The best air quality in Lackawanna, New York was recorded at 01:00:00 on 2025-07-27.

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

The real-time air quality index in Lackawanna, New York is 27, currently categorized as Good.

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

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

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

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

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

The measured PM_2.5 levels in Lackawanna, New York at present are 5.12 μg/m³.

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

The current PM₁₀ levels in Lackawanna, New York are 25.179 μg/m³.

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

The current carbon monoxide (CO) level in Lackawanna, New York is 0.204 ppm.

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

The current sulfur dioxide (SO₂) levels in Lackawanna, New York are 0.478 ppb.

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

The current ozone (O₃) levels at Lackawanna, New York is 25.234 ppm.

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

The current nitrogen dioxide (NO₂) levels at Lackawanna, New York is 1.695 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-07-25T17:00:00.000Z	42 \| good	6.34 \| good	45.107 \| good	36.473 \| good	0.815 \| good	2.715 \| good	0.211 \| good
2025-07-25T18:00:00.000Z	38 \| good	4.007 \| good	17.593 \| good	40.755 \| good	0.685 \| good	1.948 \| good	0.227 \| good
2025-07-25T19:00:00.000Z	43 \| good	5.014 \| good	28.523 \| good	46.087 \| good	0.412 \| good	2.211 \| good	0.171 \| good
2025-07-25T20:00:00.000Z	49 \| good	8.637 \| good	43.163 \| good	45.579 \| good	0.312 \| good	2.017 \| good	0.185 \| good
2025-07-25T21:00:00.000Z	47 \| good	6.911 \| good	51 \| good	45.892 \| good	0.39 \| good	1.984 \| good	0.191 \| good
2025-07-25T22:00:00.000Z	40 \| good	7.045 \| good	28.191 \| good	42.97 \| good	0.58 \| good	0.893 \| good	0.214 \| good
2025-07-25T23:00:00.000Z	44 \| good	8.34 \| good	37.857 \| good	39.716 \| good	0.674 \| good	1.442 \| good	0.259 \| good
2025-07-26T00:00:00.000Z	44 \| good	8.485 \| good	39.784 \| good	42.978 \| good	0.503 \| good	1.384 \| good	0.258 \| good
2025-07-26T01:00:00.000Z	49 \| good	8.569 \| good	33.117 \| good	39.158 \| good	0.543 \| good	2.923 \| good	0.268 \| good
2025-07-26T02:00:00.000Z	49 \| good	9.147 \| good	20.945 \| good	39.859 \| good	0.689 \| good	14.652 \| good	0.281 \| good
2025-07-26T03:00:00.000Z	52 \| moderate	10.183 \| good	44.103 \| good	33.957 \| good	1.255 \| good	13.064 \| good	0.321 \| good
2025-07-26T04:00:00.000Z	54 \| moderate	10.84 \| good	46.098 \| good	31.717 \| good	1.93 \| good	7.934 \| good	0.337 \| good
2025-07-26T05:00:00.000Z	54 \| moderate	11.32 \| good	49.078 \| good	32.037 \| good	1.045 \| good	7.366 \| good	0.376 \| good
2025-07-26T06:00:00.000Z	44 \| good	8.324 \| good	34.113 \| good	27.023 \| good	0.823 \| good	5.979 \| good	0.375 \| good
2025-07-26T07:00:00.000Z	33 \| good	6.343 \| good	27.302 \| good	20.87 \| good	0.524 \| good	5.045 \| good	0.392 \| good
2025-07-26T08:00:00.000Z	54 \| moderate	11.128 \| good	50.838 \| good	17.109 \| good	0.545 \| good	4.033 \| good	0.351 \| good
2025-07-26T09:00:00.000Z	54 \| moderate	11.216 \| good	49.93 \| good	21.774 \| good	0.683 \| good	2.85 \| good	0.374 \| good
2025-07-26T10:00:00.000Z	54 \| moderate	10.723 \| good	41.231 \| good	23.039 \| good	0.549 \| good	2.507 \| good	0.379 \| good
2025-07-26T11:00:00.000Z	56 \| moderate	11.624 \| good	36.155 \| good	27.054 \| good	0.52 \| good	3.861 \| good	0.377 \| good
2025-07-26T12:00:00.000Z	58 \| moderate	12.936 \| fine	47.288 \| good	24.462 \| good	0.527 \| good	2.798 \| good	0.396 \| good
2025-07-26T13:00:00.000Z	49 \| good	9.022 \| good	30.848 \| good	28.981 \| good	1.68 \| good	3.547 \| good	0.416 \| good
2025-07-26T14:00:00.000Z	56 \| moderate	11.818 \| good	32.251 \| good	29.289 \| good	4.436 \| good	3.691 \| good	0.443 \| good
2025-07-26T15:00:00.000Z	54 \| moderate	10.988 \| good	41.624 \| good	29.397 \| good	4.788 \| good	2.918 \| good	0.458 \| good
2025-07-26T16:00:00.000Z	97 \| moderate	33.852 \| fine	55.588 \| fine	31.128 \| good	7.391 \| good	2.242 \| good	0.425 \| good
2025-07-26T17:00:00.000Z	49 \| good	8.839 \| good	35.152 \| good	42.71 \| good	11.756 \| good	1.711 \| good	0.433 \| good
2025-07-26T18:00:00.000Z	44 \| good	7.945 \| good	36.493 \| good	41.165 \| good	13.968 \| good	1.863 \| good	0.425 \| good
2025-07-26T19:00:00.000Z	71 \| moderate	19.803 \| fine	70.958 \| fine	42.472 \| good	16.157 \| good	1.401 \| good	0.398 \| good
2025-07-26T20:00:00.000Z	42 \| good	6.597 \| good	29.053 \| good	45.099 \| good	12.761 \| good	1.086 \| good	0.329 \| good
2025-07-26T21:00:00.000Z	41 \| good	6.23 \| good	29.175 \| good	43.726 \| good	6.725 \| good	1.227 \| good	0.274 \| good
2025-07-26T22:00:00.000Z	44 \| good	7.611 \| good	23.915 \| good	46.875 \| good	4.606 \| good	1.525 \| good	0.268 \| good
2025-07-26T23:00:00.000Z	38 \| good	5.496 \| good	26.406 \| good	41.247 \| good	2.047 \| good	3.353 \| good	0.273 \| good
2025-07-27T00:00:00.000Z	49 \| good	8.894 \| good	37.522 \| good	38.571 \| good	0.968 \| good	4.346 \| good	0.264 \| good
2025-07-27T01:00:00.000Z	44 \| good	8.345 \| good	32.697 \| good	40.193 \| good	0.739 \| good	7.914 \| good	0.313 \| good
2025-07-27T02:00:00.000Z	44 \| good	8.356 \| good	25.283 \| good	43.379 \| good	0.865 \| good	2.728 \| good	0.279 \| good
2025-07-27T03:00:00.000Z	36 \| good	5.525 \| good	23.743 \| good	38.625 \| good	0.632 \| good	2.241 \| good	0.305 \| good
2025-07-27T04:00:00.000Z	38 \| good	6.592 \| good	29.706 \| good	35.681 \| good	0.501 \| good	1.723 \| good	0.239 \| good
2025-07-27T05:00:00.000Z	33 \| good	6.325 \| good	31.128 \| good	33.25 \| good	0.659 \| good	1.653 \| good	0.244 \| good
2025-07-27T06:00:00.000Z	38 \| good	6.974 \| good	29.128 \| good	36.47 \| good	0.541 \| good	1.584 \| good	0.248 \| good
2025-07-27T07:00:00.000Z	35 \| good	5.776 \| good	23.922 \| good	37.763 \| good	0.391 \| good	1.447 \| good	0.239 \| good
2025-07-27T08:00:00.000Z	38 \| good	6.659 \| good	29.401 \| good	34.364 \| good	0.594 \| good	1.467 \| good	0.191 \| good
2025-07-27T09:00:00.000Z	44 \| good	8.231 \| good	38.571 \| good	28.477 \| good	0.513 \| good	1.446 \| good	0.185 \| good
2025-07-27T10:00:00.000Z	33 \| good	6.391 \| good	28.263 \| good	25.702 \| good	0.648 \| good	1.365 \| good	0.174 \| good
2025-07-27T11:00:00.000Z	33 \| good	5.996 \| good	26.665 \| good	29.29 \| good	0.46 \| good	1.875 \| good	0.186 \| good
2025-07-27T12:00:00.000Z	38 \| good	6.676 \| good	33.4 \| good	31.793 \| good	0.481 \| good	1.937 \| good	0.191 \| good
2025-07-27T13:00:00.000Z	27 \| good	5.12 \| good	25.179 \| good	25.234 \| good	0.478 \| good	1.695 \| good	0.204 \| good
2025-07-27T14:00:00.000Z	33 \| good	6.265 \| good	29.592 \| good	29.817 \| good	0.707 \| good	1.98 \| good	0.188 \| good
2025-07-27T15:00:00.000Z	49 \| good	9.243 \| good	35.15 \| good	34.007 \| good	0.674 \| good	1.687 \| good	0.185 \| good
2025-07-27T16:00:00.000Z	38 \| good	7.452 \| good	26.711 \| good	33.325 \| good	0.563 \| good	1.46 \| good	0.175 \| good
2025-07-27T16:00:00.000Z	38 \| good	7.452 \| good	26.711 \| good	33.325 \| good	0.563 \| good	1.46 \| good	0.175 \| good
2025-07-27T15:00:00.000Z	43 \| good	7.367 \| good	32.445 \| good	45.898 \| good	0.409 \| good	2.095 \| good	0.206 \| good
2025-07-27T16:00:00.000Z	45 \| good	7.953 \| good	34.753 \| good	49.118 \| good	0.466 \| good	1.746 \| good	0.216 \| good
2025-07-27T17:00:00.000Z	48 \| good	8.07 \| good	35.479 \| good	51.837 \| good	0.522 \| good	1.397 \| good	0.226 \| good
2025-07-27T18:00:00.000Z	49 \| good	8.225 \| good	35.942 \| good	53.088 \| good	0.579 \| good	1.047 \| good	0.236 \| good
2025-07-27T19:00:00.000Z	49 \| good	9.274 \| good	41.649 \| good	52.707 \| good	0.583 \| good	1.117 \| good	0.233 \| good
2025-07-27T20:00:00.000Z	49 \| good	8.799 \| good	38.568 \| good	49.697 \| good	0.588 \| good	1.186 \| good	0.23 \| good
2025-07-27T21:00:00.000Z	46 \| good	7.935 \| good	34.818 \| good	50.465 \| good	0.593 \| good	1.255 \| good	0.226 \| good
2025-07-27T22:00:00.000Z	46 \| good	7.437 \| good	32.845 \| good	49.517 \| good	0.559 \| good	2.141 \| good	0.222 \| good
2025-07-27T23:00:00.000Z	44 \| good	7.252 \| good	32.34 \| good	48.117 \| good	0.525 \| good	3.028 \| good	0.219 \| good
2025-07-28T00:00:00.000Z	44 \| good	8.198 \| good	36.114 \| good	44.645 \| good	0.491 \| good	3.914 \| good	0.215 \| good
2025-07-28T01:00:00.000Z	49 \| good	9.245 \| good	41.291 \| good	45.153 \| good	0.495 \| good	4.344 \| good	0.216 \| good
2025-07-28T02:00:00.000Z	52 \| moderate	9.984 \| good	44.363 \| good	40.217 \| good	0.499 \| good	4.775 \| good	0.218 \| good
2025-07-28T03:00:00.000Z	52 \| moderate	10.432 \| good	46.385 \| good	36.217 \| good	0.504 \| good	5.205 \| good	0.22 \| good
2025-07-28T04:00:00.000Z	54 \| moderate	10.546 \| good	46.835 \| good	34.138 \| good	0.567 \| good	5.724 \| good	0.226 \| good
2025-07-28T05:00:00.000Z	56 \| moderate	12.42 \| fine	55.636 \| fine	27.418 \| good	0.63 \| good	6.244 \| good	0.232 \| good
2025-07-28T06:00:00.000Z	60 \| moderate	14.049 \| fine	62.788 \| fine	22.74 \| good	0.694 \| good	6.764 \| good	0.239 \| good
2025-07-28T07:00:00.000Z	64 \| moderate	16.192 \| fine	72.149 \| fine	21.44 \| good	0.737 \| good	7.103 \| good	0.242 \| good
2025-07-28T08:00:00.000Z	64 \| moderate	15.722 \| fine	70.496 \| fine	21.09 \| good	0.779 \| good	7.443 \| good	0.245 \| good
2025-07-28T09:00:00.000Z	64 \| moderate	16.136 \| fine	71.561 \| fine	17.947 \| good	0.822 \| good	7.782 \| good	0.248 \| good
2025-07-28T10:00:00.000Z	67 \| moderate	18.248 \| fine	80.977 \| fine	19.916 \| good	0.732 \| good	7.268 \| good	0.254 \| good
2025-07-28T11:00:00.000Z	66 \| moderate	17.453 \| fine	77.511 \| fine	21.174 \| good	0.642 \| good	6.754 \| good	0.261 \| good
2025-07-28T12:00:00.000Z	64 \| moderate	16.492 \| fine	73.556 \| fine	24.683 \| good	0.553 \| good	6.24 \| good	0.268 \| good
2025-07-28T13:00:00.000Z	67 \| moderate	17.78 \| fine	78.313 \| fine	32.345 \| good	0.781 \| good	5.105 \| good	0.255 \| good
2025-07-28T14:00:00.000Z	67 \| moderate	17.82 \| fine	78.676 \| fine	37.95 \| good	1.009 \| good	3.971 \| good	0.241 \| good
2025-07-28T15:00:00.000Z	67 \| moderate	17.688 \| fine	78.1 \| fine	44.753 \| good	1.238 \| good	2.836 \| good	0.228 \| good
2025-07-28T16:00:00.000Z	67 \| moderate	17.639 \| fine	78.438 \| fine	50.096 \| good	1.08 \| good	2.207 \| good	0.214 \| good
2025-07-28T17:00:00.000Z	67 \| moderate	17.51 \| fine	78.015 \| fine	51.713 \| good	0.922 \| good	1.578 \| good	0.201 \| good
2025-07-28T18:00:00.000Z	67 \| moderate	18.36 \| fine	80.676 \| fine	49.18 \| good	0.765 \| good	0.95 \| good	0.188 \| good
2025-07-28T19:00:00.000Z	69 \| moderate	19.443 \| fine	85.719 \| fine	50.367 \| good	0.743 \| good	0.993 \| good	0.183 \| good
2025-07-28T20:00:00.000Z	69 \| moderate	18.704 \| fine	82.353 \| fine	46.559 \| good	0.721 \| good	1.035 \| good	0.178 \| good
2025-07-28T21:00:00.000Z	67 \| moderate	17.523 \| fine	77.753 \| fine	45.407 \| good	0.7 \| good	1.078 \| good	0.173 \| good
2025-07-28T22:00:00.000Z	66 \| moderate	16.709 \| fine	74.323 \| fine	44.401 \| good	0.699 \| good	2.244 \| good	0.183 \| good
2025-07-28T23:00:00.000Z	64 \| moderate	15.519 \| fine	69.057 \| fine	45.558 \| good	0.698 \| good	3.409 \| good	0.193 \| good
2025-07-29T00:00:00.000Z	64 \| moderate	15.616 \| fine	69.549 \| fine	43.608 \| good	0.698 \| good	4.574 \| good	0.203 \| good
2025-07-29T01:00:00.000Z	62 \| moderate	15.101 \| fine	67.831 \| fine	44.525 \| good	0.726 \| good	4.858 \| good	0.205 \| good
2025-07-29T02:00:00.000Z	62 \| moderate	14.529 \| fine	65.436 \| fine	39.03 \| good	0.755 \| good	5.142 \| good	0.208 \| good
2025-07-29T03:00:00.000Z	60 \| moderate	14.007 \| fine	63.431 \| fine	35.378 \| good	0.784 \| good	5.426 \| good	0.21 \| good
2025-07-29T04:00:00.000Z	58 \| moderate	13.276 \| fine	59.807 \| fine	31.342 \| good	0.776 \| good	5.165 \| good	0.208 \| good
2025-07-29T05:00:00.000Z	58 \| moderate	13.316 \| fine	59.649 \| fine	29.589 \| good	0.769 \| good	4.905 \| good	0.207 \| good
2025-07-29T06:00:00.000Z	58 \| moderate	13.147 \| fine	59.346 \| fine	29.819 \| good	0.762 \| good	4.645 \| good	0.205 \| good
2025-07-29T07:00:00.000Z	58 \| moderate	13.366 \| fine	59.813 \| fine	27.2 \| good	0.725 \| good	3.994 \| good	0.201 \| good
2025-07-29T08:00:00.000Z	60 \| moderate	13.791 \| fine	61.651 \| fine	28.492 \| good	0.688 \| good	3.343 \| good	0.197 \| good
2025-07-29T09:00:00.000Z	56 \| moderate	12.065 \| good	54.344 \| good	29.673 \| good	0.651 \| good	2.692 \| good	0.192 \| good
2025-07-29T10:00:00.000Z	58 \| moderate	12.8 \| fine	57.624 \| fine	30.797 \| good	0.763 \| good	2.688 \| good	0.197 \| good
2025-07-29T11:00:00.000Z	58 \| moderate	12.923 \| fine	57.788 \| fine	29.864 \| good	0.874 \| good	2.683 \| good	0.202 \| good
2025-07-29T12:00:00.000Z	56 \| moderate	12.044 \| good	54.039 \| good	31.429 \| good	0.986 \| good	2.679 \| good	0.207 \| good
2025-07-29T13:00:00.000Z	56 \| moderate	11.825 \| good	52.158 \| good	37.43 \| good	1.742 \| good	2.328 \| good	0.21 \| good
2025-07-29T14:00:00.000Z	56 \| moderate	11.937 \| good	53.391 \| good	41.022 \| good	2.499 \| good	1.977 \| good	0.213 \| good

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

Common air pollutants in Lackawanna, New York

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Lackawanna, New York air quality forecast and history

Empower business decisions with accurate air quality data

Lackawanna, New York air quality map: Real-time AQI near you

Air quality in nearby cities

West Seneca, New York

Buffalo, New York

Orchard Park Town, New York

Cheektowaga, New York

Hamburg Town, New York

Elma, New York

How accurate is New York, USA air quality data?

Air quality levels in US

Frequently asked questions

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

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

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

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

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

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

What are the current PM2.5 levels in Lackawanna, New York?

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

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

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

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

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

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

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

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

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

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

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