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

The current PM10 levels in Highlands, New York are 8.576 μg/m3.

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

The current sulfur dioxide (SO2) levels in Highlands, New York are 0.447 ppb.

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

The current ozone (O3) levels at Highlands, New York is 23.875 ppm.

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

The current nitrogen dioxide (NO2) levels at Highlands, New York is 10.087 ppb.

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

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

Stay updated with real-time air quality in Highlands, 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

Highlands, New York

Last updated: ... (Local time)

Common air pollutants in Highlands, New York

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

2.51 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

8.58 μg/m³

155

255

425

605+

Ozone (O₃)

23.88 ppb

201

201+

Sulfur Dioxide (SO₂)

0.45 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

10.09 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.15 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Highlands, New York

Get Live Pollen Counts

Highlands, New York

Scroll To Air Quality Map

Track live Highlands, New York air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T11:00:00.000Z	52 \| moderate	9.951 \| good	39.776 \| good	5.199 \| good	0.282 \| good	25.854 \| good	0.39 \| good
2025-10-19T12:00:00.000Z	44 \| good	7.571 \| good	34.7 \| good	6.562 \| good	0.508 \| good	23.688 \| good	0.524 \| good
2025-10-19T13:00:00.000Z	44 \| good	8.459 \| good	34.215 \| good	7.779 \| good	0.526 \| good	22.212 \| good	0.573 \| good
2025-10-19T14:00:00.000Z	44 \| good	8.316 \| good	39.252 \| good	7.224 \| good	0.357 \| good	13.344 \| good	0.286 \| good
2025-10-19T15:00:00.000Z	44 \| good	8.298 \| good	29.9 \| good	13.906 \| good	0.265 \| good	12.393 \| good	0.286 \| good
2025-10-19T16:00:00.000Z	38 \| good	6.927 \| good	29.377 \| good	18.698 \| good	0.266 \| good	12.045 \| good	0.272 \| good
2025-10-19T17:00:00.000Z	44 \| good	8.028 \| good	33.844 \| good	32.892 \| good	0.17 \| good	5.099 \| good	0.248 \| good
2025-10-19T18:00:00.000Z	33 \| good	5.669 \| good	28.115 \| good	35.756 \| good	0.326 \| good	5.057 \| good	0.259 \| good
2025-10-19T19:00:00.000Z	37 \| good	5.67 \| good	24.455 \| good	40.086 \| good	0.371 \| good	4.973 \| good	0.212 \| good
2025-10-19T20:00:00.000Z	39 \| good	5.797 \| good	24.922 \| good	41.645 \| good	0.213 \| good	4.281 \| good	0.223 \| good
2025-10-19T21:00:00.000Z	38 \| good	6.585 \| good	28.046 \| good	41.123 \| good	0.231 \| good	5.289 \| good	0.223 \| good
2025-10-19T22:00:00.000Z	44 \| good	8.029 \| good	38.289 \| good	45.051 \| good	0.325 \| good	5.451 \| good	0.223 \| good
2025-10-19T23:00:00.000Z	43 \| good	6.896 \| good	25.615 \| good	45.867 \| good	0.259 \| good	5.165 \| good	0.241 \| good
2025-10-20T00:00:00.000Z	49 \| good	8.93 \| good	39.537 \| good	44.927 \| good	0.242 \| good	6.922 \| good	0.241 \| good
2025-10-20T01:00:00.000Z	39 \| good	5.702 \| good	16.12 \| good	42.097 \| good	0.224 \| good	6.852 \| good	0.231 \| good
2025-10-20T02:00:00.000Z	40 \| good	6.994 \| good	24.326 \| good	43.069 \| good	0.199 \| good	6.901 \| good	0.212 \| good
2025-10-20T03:00:00.000Z	42 \| good	6.842 \| good	28.914 \| good	44.866 \| good	0.189 \| good	5.552 \| good	0.189 \| good
2025-10-20T04:00:00.000Z	40 \| good	5.09 \| good	27.156 \| good	43.339 \| good	0.173 \| good	4.294 \| good	0.189 \| good
2025-10-20T05:00:00.000Z	41 \| good	5.699 \| good	23.309 \| good	43.759 \| good	0.242 \| good	4.245 \| good	0.189 \| good
2025-10-20T06:00:00.000Z	40 \| good	4.955 \| good	25.352 \| good	42.628 \| good	0.249 \| good	3.57 \| good	0.176 \| good
2025-10-20T07:00:00.000Z	39 \| good	4.545 \| good	24.459 \| good	41.835 \| good	0.22 \| good	3.235 \| good	0.179 \| good
2025-10-20T08:00:00.000Z	35 \| good	4.806 \| good	22.221 \| good	38.035 \| good	0.293 \| good	3.557 \| good	0.153 \| good
2025-10-20T09:00:00.000Z	36 \| good	3.532 \| good	10.074 \| good	39.327 \| good	0.295 \| good	4.151 \| good	0.153 \| good
2025-10-20T10:00:00.000Z	34 \| good	3.641 \| good	9.788 \| good	36.735 \| good	0.242 \| good	3.573 \| good	0.161 \| good
2025-10-20T11:00:00.000Z	32 \| good	4.075 \| good	13.488 \| good	34.718 \| good	0.318 \| good	8.896 \| good	0.214 \| good
2025-10-20T12:00:00.000Z	31 \| good	1.639 \| good	5.635 \| good	34.307 \| good	0.325 \| good	8.72 \| good	0.212 \| good
2025-10-20T13:00:00.000Z	31 \| good	4.58 \| good	11.995 \| good	33.823 \| good	0.366 \| good	7.14 \| good	0.212 \| good
2025-10-20T14:00:00.000Z	29 \| good	2.449 \| good	7.285 \| good	31.014 \| good	0.241 \| good	7.465 \| good	0.235 \| good
2025-10-20T15:00:00.000Z	26 \| good	3.163 \| good	14.957 \| good	27.864 \| good	0.225 \| good	6.464 \| good	0.212 \| good
2025-10-20T16:00:00.000Z	25 \| good	2.324 \| good	11.008 \| good	26.913 \| good	0.741 \| good	6.518 \| good	0.176 \| good
2025-10-20T17:00:00.000Z	24 \| good	2.487 \| good	12.038 \| good	26.142 \| good	0.495 \| good	7.577 \| good	0.176 \| good
2025-10-20T18:00:00.000Z	26 \| good	0.907 \| good	4.276 \| good	28.054 \| good	0.834 \| good	7.409 \| good	0.176 \| good
2025-10-20T19:00:00.000Z	22 \| good	1.685 \| good	8.149 \| good	23.783 \| good	0.172 \| good	5.293 \| good	0.154 \| good
2025-10-20T20:00:00.000Z	20 \| good	1.24 \| good	8.036 \| good	22.364 \| good	0.326 \| good	4.411 \| good	0.136 \| good
2025-10-20T21:00:00.000Z	24 \| good	1.701 \| good	13.086 \| good	25.99 \| good	0.29 \| good	3.043 \| good	0.173 \| good
2025-10-20T22:00:00.000Z	23 \| good	1.683 \| good	9.746 \| good	24.523 \| good	0.494 \| good	4.979 \| good	0.136 \| good
2025-10-20T23:00:00.000Z	23 \| good	2.144 \| good	9.549 \| good	24.761 \| good	0.253 \| good	2.889 \| good	0.113 \| good
2025-10-21T00:00:00.000Z	23 \| good	2.159 \| good	8.64 \| good	25.228 \| good	0.253 \| good	2.907 \| good	0.154 \| good
2025-10-21T01:00:00.000Z	21 \| good	2.578 \| good	11.074 \| good	23.332 \| good	0.274 \| good	5.695 \| good	0.154 \| good
2025-10-21T02:00:00.000Z	22 \| good	3.548 \| good	16.169 \| good	23.453 \| good	0.274 \| good	4.456 \| good	0.154 \| good
2025-10-21T03:00:00.000Z	26 \| good	2.228 \| good	9.069 \| good	27.885 \| good	0.651 \| good	5.152 \| good	0.133 \| good
2025-10-21T04:00:00.000Z	22 \| good	2.667 \| good	10.986 \| good	23.625 \| good	0.256 \| good	8.271 \| good	0.131 \| good
2025-10-21T05:00:00.000Z	21 \| good	2.671 \| good	11.68 \| good	23.095 \| good	0.256 \| good	7.82 \| good	0.131 \| good
2025-10-21T06:00:00.000Z	19 \| good	2.422 \| good	5.839 \| good	20.844 \| good	0.257 \| good	8.299 \| good	0.113 \| good
2025-10-21T07:00:00.000Z	19 \| good	2.846 \| good	7.954 \| good	21.077 \| good	0.235 \| good	6.141 \| good	0.1 \| good
2025-10-21T08:00:00.000Z	21 \| good	2.587 \| good	10.709 \| good	23.142 \| good	0.167 \| good	6.124 \| good	0.115 \| good
2025-10-21T09:00:00.000Z	21 \| good	2.55 \| good	8.155 \| good	22.734 \| good	0.258 \| good	5.621 \| good	0.118 \| good
2025-10-21T10:00:00.000Z	21 \| good	2.68 \| good	5.974 \| good	23.262 \| good	0.454 \| good	9.813 \| good	0.153 \| good
2025-10-21T10:00:00.000Z	22 \| good	2.511 \| good	8.576 \| good	23.875 \| good	0.447 \| good	10.087 \| good	0.155 \| good
2025-10-21T11:00:00.000Z	19 \| good	0.728 \| good	2.795 \| good	20.204 \| good	0.816 \| good	5.897 \| good	0.144 \| good
2025-10-21T12:00:00.000Z	19 \| good	1.543 \| good	6.503 \| good	19.645 \| good	0.911 \| good	7.057 \| good	0.153 \| good
2025-10-21T13:00:00.000Z	23 \| good	2.862 \| good	11.887 \| good	24.691 \| good	1.189 \| good	6.288 \| good	0.15 \| good
2025-10-21T14:00:00.000Z	27 \| good	3.066 \| good	13.013 \| good	28.934 \| good	1.467 \| good	5.52 \| good	0.148 \| good
2025-10-21T15:00:00.000Z	30 \| good	3.979 \| good	17.425 \| good	31.754 \| good	1.745 \| good	4.752 \| good	0.145 \| good
2025-10-21T16:00:00.000Z	32 \| good	3.422 \| good	14.974 \| good	35.059 \| good	2.529 \| good	4.895 \| good	0.146 \| good
2025-10-21T17:00:00.000Z	34 \| good	3.569 \| good	15.629 \| good	37.449 \| good	3.313 \| good	5.039 \| good	0.147 \| good
2025-10-21T18:00:00.000Z	36 \| good	4.785 \| good	20.519 \| good	39.382 \| good	4.097 \| good	5.183 \| good	0.148 \| good
2025-10-21T19:00:00.000Z	37 \| good	5.784 \| good	25.479 \| good	39.604 \| good	3.896 \| good	6.147 \| good	0.152 \| good
2025-10-21T20:00:00.000Z	37 \| good	6.024 \| good	26.17 \| good	40.133 \| good	3.695 \| good	7.111 \| good	0.156 \| good
2025-10-21T21:00:00.000Z	38 \| good	6.967 \| good	30.966 \| good	37.974 \| good	3.493 \| good	8.075 \| good	0.161 \| good
2025-10-21T22:00:00.000Z	38 \| good	7.17 \| good	31.662 \| good	33.608 \| good	3.299 \| good	10.41 \| good	0.175 \| good
2025-10-21T23:00:00.000Z	44 \| good	7.596 \| good	33.634 \| good	26.327 \| good	3.105 \| good	12.744 \| good	0.19 \| good
2025-10-22T00:00:00.000Z	49 \| good	9.008 \| good	40.002 \| good	22.815 \| good	2.91 \| good	15.078 \| good	0.204 \| good
2025-10-22T01:00:00.000Z	49 \| good	9.048 \| good	40.218 \| good	21.204 \| good	2.643 \| good	13.506 \| good	0.195 \| good
2025-10-22T02:00:00.000Z	44 \| good	8.376 \| good	36.696 \| good	23.401 \| good	2.377 \| good	11.935 \| good	0.186 \| good
2025-10-22T03:00:00.000Z	44 \| good	7.586 \| good	33.245 \| good	28.788 \| good	2.11 \| good	10.363 \| good	0.177 \| good
2025-10-22T04:00:00.000Z	33 \| good	5.699 \| good	24.501 \| good	31.479 \| good	2.015 \| good	9.662 \| good	0.172 \| good
2025-10-22T05:00:00.000Z	29 \| good	5.326 \| good	23.113 \| good	31.319 \| good	1.92 \| good	8.962 \| good	0.168 \| good
2025-10-22T06:00:00.000Z	28 \| good	4.848 \| good	20.663 \| good	29.964 \| good	1.825 \| good	8.261 \| good	0.164 \| good
2025-10-22T07:00:00.000Z	28 \| good	5.018 \| good	21.937 \| good	29.742 \| good	1.832 \| good	8.239 \| good	0.162 \| good
2025-10-22T08:00:00.000Z	29 \| good	4.7 \| good	20.289 \| good	30.577 \| good	1.838 \| good	8.217 \| good	0.161 \| good
2025-10-22T09:00:00.000Z	27 \| good	5.083 \| good	21.844 \| good	29.218 \| good	1.844 \| good	8.195 \| good	0.159 \| good
2025-10-22T10:00:00.000Z	29 \| good	4.006 \| good	17.705 \| good	31.097 \| good	2.027 \| good	9.957 \| good	0.171 \| good
2025-10-22T11:00:00.000Z	28 \| good	3.341 \| good	14.4 \| good	29.658 \| good	2.21 \| good	11.718 \| good	0.183 \| good
2025-10-22T12:00:00.000Z	26 \| good	4.33 \| good	18.806 \| good	28.154 \| good	2.393 \| good	13.48 \| good	0.195 \| good
2025-10-22T13:00:00.000Z	33 \| good	5.502 \| good	23.887 \| good	30.903 \| good	2.818 \| good	11.094 \| good	0.191 \| good
2025-10-22T14:00:00.000Z	33 \| good	3.486 \| good	15.277 \| good	35.521 \| good	3.243 \| good	8.708 \| good	0.186 \| good
2025-10-22T15:00:00.000Z	34 \| good	2.684 \| good	10.736 \| good	36.573 \| good	3.668 \| good	6.322 \| good	0.182 \| good
2025-10-22T16:00:00.000Z	35 \| good	1.391 \| good	5.338 \| good	38.429 \| good	3.14 \| good	4.888 \| good	0.166 \| good
2025-10-22T17:00:00.000Z	37 \| good	1.344 \| good	5.304 \| good	39.921 \| good	2.613 \| good	3.453 \| good	0.149 \| good
2025-10-22T18:00:00.000Z	37 \| good	2.101 \| good	8.688 \| good	39.531 \| good	2.086 \| good	2.018 \| good	0.133 \| good
2025-10-22T19:00:00.000Z	34 \| good	2.764 \| good	11.543 \| good	37.343 \| good	1.892 \| good	2.269 \| good	0.132 \| good
2025-10-22T20:00:00.000Z	33 \| good	3.013 \| good	12.594 \| good	36.022 \| good	1.698 \| good	2.519 \| good	0.132 \| good
2025-10-22T21:00:00.000Z	33 \| good	3.95 \| good	16.969 \| good	35.651 \| good	1.504 \| good	2.77 \| good	0.131 \| good
2025-10-22T22:00:00.000Z	30 \| good	4.183 \| good	18.322 \| good	32.307 \| good	1.623 \| good	4.482 \| good	0.141 \| good
2025-10-22T23:00:00.000Z	28 \| good	3.751 \| good	16.276 \| good	30.491 \| good	1.743 \| good	6.195 \| good	0.151 \| good
2025-10-23T00:00:00.000Z	22 \| good	3.517 \| good	15.73 \| good	23.167 \| good	1.862 \| good	7.908 \| good	0.161 \| good
2025-10-23T01:00:00.000Z	20 \| good	3.31 \| good	14.443 \| good	22.098 \| good	1.98 \| good	9.614 \| good	0.17 \| good
2025-10-23T02:00:00.000Z	19 \| good	2.932 \| good	11.815 \| good	20.895 \| good	2.097 \| good	11.319 \| good	0.179 \| good
2025-10-23T03:00:00.000Z	19 \| good	2.745 \| good	11.373 \| good	20.455 \| good	2.215 \| good	13.025 \| good	0.189 \| good
2025-10-23T04:00:00.000Z	19 \| good	2.512 \| good	10.119 \| good	20.287 \| good	2.354 \| good	12.408 \| good	0.185 \| good
2025-10-23T05:00:00.000Z	19 \| good	3.229 \| good	13.676 \| good	20.945 \| good	2.494 \| good	11.791 \| good	0.181 \| good
2025-10-23T06:00:00.000Z	38 \| good	7.237 \| good	7.24 \| good	17.298 \| good	2.617 \| good	10.988 \| good	0.177 \| good
2025-10-23T07:00:00.000Z	18 \| good	3.455 \| good	15.155 \| good	19.118 \| good	2.737 \| good	10.165 \| good	0.173 \| good
2025-10-23T08:00:00.000Z	22 \| good	3.731 \| good	16.324 \| good	18.379 \| good	2.842 \| good	9.156 \| good	0.168 \| good
2025-10-23T09:00:00.000Z	22 \| good	4.288 \| good	18.77 \| good	16.395 \| good	2.946 \| good	8.147 \| good	0.163 \| good
2025-10-23T10:00:00.000Z	22 \| good	3.962 \| good	17.485 \| good	15.61 \| good	3.024 \| good	8.689 \| good	0.17 \| good

Highlands

Empower business decisions with accurate air quality data

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

0.12ppm

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 Highlands, New York updated?

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

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

The worst air quality in Highlands, New York was recorded at 10:00:00 on 2025-10-20.

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

The best air quality in Highlands, New York was recorded at 07:00:00 on 2025-10-21.

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

The real-time air quality index in Highlands, New York is 22, currently categorized as Good.

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

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

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

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

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

The measured PM_2.5 levels in Highlands, New York at present are 2.511 μg/m³.

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

The current PM₁₀ levels in Highlands, New York are 8.576 μg/m³.

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

The current carbon monoxide (CO) level in Highlands, New York is 0.155 ppm.

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

The current sulfur dioxide (SO₂) levels in Highlands, New York are 0.447 ppb.

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

The current ozone (O₃) levels at Highlands, New York is 23.875 ppm.

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

The current nitrogen dioxide (NO₂) levels at Highlands, New York is 10.087 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T11:00:00.000Z	52 \| moderate	9.951 \| good	39.776 \| good	5.199 \| good	0.282 \| good	25.854 \| good	0.39 \| good
2025-10-19T12:00:00.000Z	44 \| good	7.571 \| good	34.7 \| good	6.562 \| good	0.508 \| good	23.688 \| good	0.524 \| good
2025-10-19T13:00:00.000Z	44 \| good	8.459 \| good	34.215 \| good	7.779 \| good	0.526 \| good	22.212 \| good	0.573 \| good
2025-10-19T14:00:00.000Z	44 \| good	8.316 \| good	39.252 \| good	7.224 \| good	0.357 \| good	13.344 \| good	0.286 \| good
2025-10-19T15:00:00.000Z	44 \| good	8.298 \| good	29.9 \| good	13.906 \| good	0.265 \| good	12.393 \| good	0.286 \| good
2025-10-19T16:00:00.000Z	38 \| good	6.927 \| good	29.377 \| good	18.698 \| good	0.266 \| good	12.045 \| good	0.272 \| good
2025-10-19T17:00:00.000Z	44 \| good	8.028 \| good	33.844 \| good	32.892 \| good	0.17 \| good	5.099 \| good	0.248 \| good
2025-10-19T18:00:00.000Z	33 \| good	5.669 \| good	28.115 \| good	35.756 \| good	0.326 \| good	5.057 \| good	0.259 \| good
2025-10-19T19:00:00.000Z	37 \| good	5.67 \| good	24.455 \| good	40.086 \| good	0.371 \| good	4.973 \| good	0.212 \| good
2025-10-19T20:00:00.000Z	39 \| good	5.797 \| good	24.922 \| good	41.645 \| good	0.213 \| good	4.281 \| good	0.223 \| good
2025-10-19T21:00:00.000Z	38 \| good	6.585 \| good	28.046 \| good	41.123 \| good	0.231 \| good	5.289 \| good	0.223 \| good
2025-10-19T22:00:00.000Z	44 \| good	8.029 \| good	38.289 \| good	45.051 \| good	0.325 \| good	5.451 \| good	0.223 \| good
2025-10-19T23:00:00.000Z	43 \| good	6.896 \| good	25.615 \| good	45.867 \| good	0.259 \| good	5.165 \| good	0.241 \| good
2025-10-20T00:00:00.000Z	49 \| good	8.93 \| good	39.537 \| good	44.927 \| good	0.242 \| good	6.922 \| good	0.241 \| good
2025-10-20T01:00:00.000Z	39 \| good	5.702 \| good	16.12 \| good	42.097 \| good	0.224 \| good	6.852 \| good	0.231 \| good
2025-10-20T02:00:00.000Z	40 \| good	6.994 \| good	24.326 \| good	43.069 \| good	0.199 \| good	6.901 \| good	0.212 \| good
2025-10-20T03:00:00.000Z	42 \| good	6.842 \| good	28.914 \| good	44.866 \| good	0.189 \| good	5.552 \| good	0.189 \| good
2025-10-20T04:00:00.000Z	40 \| good	5.09 \| good	27.156 \| good	43.339 \| good	0.173 \| good	4.294 \| good	0.189 \| good
2025-10-20T05:00:00.000Z	41 \| good	5.699 \| good	23.309 \| good	43.759 \| good	0.242 \| good	4.245 \| good	0.189 \| good
2025-10-20T06:00:00.000Z	40 \| good	4.955 \| good	25.352 \| good	42.628 \| good	0.249 \| good	3.57 \| good	0.176 \| good
2025-10-20T07:00:00.000Z	39 \| good	4.545 \| good	24.459 \| good	41.835 \| good	0.22 \| good	3.235 \| good	0.179 \| good
2025-10-20T08:00:00.000Z	35 \| good	4.806 \| good	22.221 \| good	38.035 \| good	0.293 \| good	3.557 \| good	0.153 \| good
2025-10-20T09:00:00.000Z	36 \| good	3.532 \| good	10.074 \| good	39.327 \| good	0.295 \| good	4.151 \| good	0.153 \| good
2025-10-20T10:00:00.000Z	34 \| good	3.641 \| good	9.788 \| good	36.735 \| good	0.242 \| good	3.573 \| good	0.161 \| good
2025-10-20T11:00:00.000Z	32 \| good	4.075 \| good	13.488 \| good	34.718 \| good	0.318 \| good	8.896 \| good	0.214 \| good
2025-10-20T12:00:00.000Z	31 \| good	1.639 \| good	5.635 \| good	34.307 \| good	0.325 \| good	8.72 \| good	0.212 \| good
2025-10-20T13:00:00.000Z	31 \| good	4.58 \| good	11.995 \| good	33.823 \| good	0.366 \| good	7.14 \| good	0.212 \| good
2025-10-20T14:00:00.000Z	29 \| good	2.449 \| good	7.285 \| good	31.014 \| good	0.241 \| good	7.465 \| good	0.235 \| good
2025-10-20T15:00:00.000Z	26 \| good	3.163 \| good	14.957 \| good	27.864 \| good	0.225 \| good	6.464 \| good	0.212 \| good
2025-10-20T16:00:00.000Z	25 \| good	2.324 \| good	11.008 \| good	26.913 \| good	0.741 \| good	6.518 \| good	0.176 \| good
2025-10-20T17:00:00.000Z	24 \| good	2.487 \| good	12.038 \| good	26.142 \| good	0.495 \| good	7.577 \| good	0.176 \| good
2025-10-20T18:00:00.000Z	26 \| good	0.907 \| good	4.276 \| good	28.054 \| good	0.834 \| good	7.409 \| good	0.176 \| good
2025-10-20T19:00:00.000Z	22 \| good	1.685 \| good	8.149 \| good	23.783 \| good	0.172 \| good	5.293 \| good	0.154 \| good
2025-10-20T20:00:00.000Z	20 \| good	1.24 \| good	8.036 \| good	22.364 \| good	0.326 \| good	4.411 \| good	0.136 \| good
2025-10-20T21:00:00.000Z	24 \| good	1.701 \| good	13.086 \| good	25.99 \| good	0.29 \| good	3.043 \| good	0.173 \| good
2025-10-20T22:00:00.000Z	23 \| good	1.683 \| good	9.746 \| good	24.523 \| good	0.494 \| good	4.979 \| good	0.136 \| good
2025-10-20T23:00:00.000Z	23 \| good	2.144 \| good	9.549 \| good	24.761 \| good	0.253 \| good	2.889 \| good	0.113 \| good
2025-10-21T00:00:00.000Z	23 \| good	2.159 \| good	8.64 \| good	25.228 \| good	0.253 \| good	2.907 \| good	0.154 \| good
2025-10-21T01:00:00.000Z	21 \| good	2.578 \| good	11.074 \| good	23.332 \| good	0.274 \| good	5.695 \| good	0.154 \| good
2025-10-21T02:00:00.000Z	22 \| good	3.548 \| good	16.169 \| good	23.453 \| good	0.274 \| good	4.456 \| good	0.154 \| good
2025-10-21T03:00:00.000Z	26 \| good	2.228 \| good	9.069 \| good	27.885 \| good	0.651 \| good	5.152 \| good	0.133 \| good
2025-10-21T04:00:00.000Z	22 \| good	2.667 \| good	10.986 \| good	23.625 \| good	0.256 \| good	8.271 \| good	0.131 \| good
2025-10-21T05:00:00.000Z	21 \| good	2.671 \| good	11.68 \| good	23.095 \| good	0.256 \| good	7.82 \| good	0.131 \| good
2025-10-21T06:00:00.000Z	19 \| good	2.422 \| good	5.839 \| good	20.844 \| good	0.257 \| good	8.299 \| good	0.113 \| good
2025-10-21T07:00:00.000Z	19 \| good	2.846 \| good	7.954 \| good	21.077 \| good	0.235 \| good	6.141 \| good	0.1 \| good
2025-10-21T08:00:00.000Z	21 \| good	2.587 \| good	10.709 \| good	23.142 \| good	0.167 \| good	6.124 \| good	0.115 \| good
2025-10-21T09:00:00.000Z	21 \| good	2.55 \| good	8.155 \| good	22.734 \| good	0.258 \| good	5.621 \| good	0.118 \| good
2025-10-21T10:00:00.000Z	21 \| good	2.68 \| good	5.974 \| good	23.262 \| good	0.454 \| good	9.813 \| good	0.153 \| good
2025-10-21T10:00:00.000Z	22 \| good	2.511 \| good	8.576 \| good	23.875 \| good	0.447 \| good	10.087 \| good	0.155 \| good
2025-10-21T11:00:00.000Z	19 \| good	0.728 \| good	2.795 \| good	20.204 \| good	0.816 \| good	5.897 \| good	0.144 \| good
2025-10-21T12:00:00.000Z	19 \| good	1.543 \| good	6.503 \| good	19.645 \| good	0.911 \| good	7.057 \| good	0.153 \| good
2025-10-21T13:00:00.000Z	23 \| good	2.862 \| good	11.887 \| good	24.691 \| good	1.189 \| good	6.288 \| good	0.15 \| good
2025-10-21T14:00:00.000Z	27 \| good	3.066 \| good	13.013 \| good	28.934 \| good	1.467 \| good	5.52 \| good	0.148 \| good
2025-10-21T15:00:00.000Z	30 \| good	3.979 \| good	17.425 \| good	31.754 \| good	1.745 \| good	4.752 \| good	0.145 \| good
2025-10-21T16:00:00.000Z	32 \| good	3.422 \| good	14.974 \| good	35.059 \| good	2.529 \| good	4.895 \| good	0.146 \| good
2025-10-21T17:00:00.000Z	34 \| good	3.569 \| good	15.629 \| good	37.449 \| good	3.313 \| good	5.039 \| good	0.147 \| good
2025-10-21T18:00:00.000Z	36 \| good	4.785 \| good	20.519 \| good	39.382 \| good	4.097 \| good	5.183 \| good	0.148 \| good
2025-10-21T19:00:00.000Z	37 \| good	5.784 \| good	25.479 \| good	39.604 \| good	3.896 \| good	6.147 \| good	0.152 \| good
2025-10-21T20:00:00.000Z	37 \| good	6.024 \| good	26.17 \| good	40.133 \| good	3.695 \| good	7.111 \| good	0.156 \| good
2025-10-21T21:00:00.000Z	38 \| good	6.967 \| good	30.966 \| good	37.974 \| good	3.493 \| good	8.075 \| good	0.161 \| good
2025-10-21T22:00:00.000Z	38 \| good	7.17 \| good	31.662 \| good	33.608 \| good	3.299 \| good	10.41 \| good	0.175 \| good
2025-10-21T23:00:00.000Z	44 \| good	7.596 \| good	33.634 \| good	26.327 \| good	3.105 \| good	12.744 \| good	0.19 \| good
2025-10-22T00:00:00.000Z	49 \| good	9.008 \| good	40.002 \| good	22.815 \| good	2.91 \| good	15.078 \| good	0.204 \| good
2025-10-22T01:00:00.000Z	49 \| good	9.048 \| good	40.218 \| good	21.204 \| good	2.643 \| good	13.506 \| good	0.195 \| good
2025-10-22T02:00:00.000Z	44 \| good	8.376 \| good	36.696 \| good	23.401 \| good	2.377 \| good	11.935 \| good	0.186 \| good
2025-10-22T03:00:00.000Z	44 \| good	7.586 \| good	33.245 \| good	28.788 \| good	2.11 \| good	10.363 \| good	0.177 \| good
2025-10-22T04:00:00.000Z	33 \| good	5.699 \| good	24.501 \| good	31.479 \| good	2.015 \| good	9.662 \| good	0.172 \| good
2025-10-22T05:00:00.000Z	29 \| good	5.326 \| good	23.113 \| good	31.319 \| good	1.92 \| good	8.962 \| good	0.168 \| good
2025-10-22T06:00:00.000Z	28 \| good	4.848 \| good	20.663 \| good	29.964 \| good	1.825 \| good	8.261 \| good	0.164 \| good
2025-10-22T07:00:00.000Z	28 \| good	5.018 \| good	21.937 \| good	29.742 \| good	1.832 \| good	8.239 \| good	0.162 \| good
2025-10-22T08:00:00.000Z	29 \| good	4.7 \| good	20.289 \| good	30.577 \| good	1.838 \| good	8.217 \| good	0.161 \| good
2025-10-22T09:00:00.000Z	27 \| good	5.083 \| good	21.844 \| good	29.218 \| good	1.844 \| good	8.195 \| good	0.159 \| good
2025-10-22T10:00:00.000Z	29 \| good	4.006 \| good	17.705 \| good	31.097 \| good	2.027 \| good	9.957 \| good	0.171 \| good
2025-10-22T11:00:00.000Z	28 \| good	3.341 \| good	14.4 \| good	29.658 \| good	2.21 \| good	11.718 \| good	0.183 \| good
2025-10-22T12:00:00.000Z	26 \| good	4.33 \| good	18.806 \| good	28.154 \| good	2.393 \| good	13.48 \| good	0.195 \| good
2025-10-22T13:00:00.000Z	33 \| good	5.502 \| good	23.887 \| good	30.903 \| good	2.818 \| good	11.094 \| good	0.191 \| good
2025-10-22T14:00:00.000Z	33 \| good	3.486 \| good	15.277 \| good	35.521 \| good	3.243 \| good	8.708 \| good	0.186 \| good
2025-10-22T15:00:00.000Z	34 \| good	2.684 \| good	10.736 \| good	36.573 \| good	3.668 \| good	6.322 \| good	0.182 \| good
2025-10-22T16:00:00.000Z	35 \| good	1.391 \| good	5.338 \| good	38.429 \| good	3.14 \| good	4.888 \| good	0.166 \| good
2025-10-22T17:00:00.000Z	37 \| good	1.344 \| good	5.304 \| good	39.921 \| good	2.613 \| good	3.453 \| good	0.149 \| good
2025-10-22T18:00:00.000Z	37 \| good	2.101 \| good	8.688 \| good	39.531 \| good	2.086 \| good	2.018 \| good	0.133 \| good
2025-10-22T19:00:00.000Z	34 \| good	2.764 \| good	11.543 \| good	37.343 \| good	1.892 \| good	2.269 \| good	0.132 \| good
2025-10-22T20:00:00.000Z	33 \| good	3.013 \| good	12.594 \| good	36.022 \| good	1.698 \| good	2.519 \| good	0.132 \| good
2025-10-22T21:00:00.000Z	33 \| good	3.95 \| good	16.969 \| good	35.651 \| good	1.504 \| good	2.77 \| good	0.131 \| good
2025-10-22T22:00:00.000Z	30 \| good	4.183 \| good	18.322 \| good	32.307 \| good	1.623 \| good	4.482 \| good	0.141 \| good
2025-10-22T23:00:00.000Z	28 \| good	3.751 \| good	16.276 \| good	30.491 \| good	1.743 \| good	6.195 \| good	0.151 \| good
2025-10-23T00:00:00.000Z	22 \| good	3.517 \| good	15.73 \| good	23.167 \| good	1.862 \| good	7.908 \| good	0.161 \| good
2025-10-23T01:00:00.000Z	20 \| good	3.31 \| good	14.443 \| good	22.098 \| good	1.98 \| good	9.614 \| good	0.17 \| good
2025-10-23T02:00:00.000Z	19 \| good	2.932 \| good	11.815 \| good	20.895 \| good	2.097 \| good	11.319 \| good	0.179 \| good
2025-10-23T03:00:00.000Z	19 \| good	2.745 \| good	11.373 \| good	20.455 \| good	2.215 \| good	13.025 \| good	0.189 \| good
2025-10-23T04:00:00.000Z	19 \| good	2.512 \| good	10.119 \| good	20.287 \| good	2.354 \| good	12.408 \| good	0.185 \| good
2025-10-23T05:00:00.000Z	19 \| good	3.229 \| good	13.676 \| good	20.945 \| good	2.494 \| good	11.791 \| good	0.181 \| good
2025-10-23T06:00:00.000Z	38 \| good	7.237 \| good	7.24 \| good	17.298 \| good	2.617 \| good	10.988 \| good	0.177 \| good
2025-10-23T07:00:00.000Z	18 \| good	3.455 \| good	15.155 \| good	19.118 \| good	2.737 \| good	10.165 \| good	0.173 \| good
2025-10-23T08:00:00.000Z	22 \| good	3.731 \| good	16.324 \| good	18.379 \| good	2.842 \| good	9.156 \| good	0.168 \| good
2025-10-23T09:00:00.000Z	22 \| good	4.288 \| good	18.77 \| good	16.395 \| good	2.946 \| good	8.147 \| good	0.163 \| good
2025-10-23T10:00:00.000Z	22 \| good	3.962 \| good	17.485 \| good	15.61 \| good	3.024 \| good	8.689 \| good	0.17 \| good

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

Common air pollutants in Highlands, New York

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Highlands, New York air quality forecast and history

Empower business decisions with accurate air quality data

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

Air quality in nearby cities

Peekskill, New York

Cornwall, New York

Woodbury, New York

Putnam Valley, New York

Stony Point, New York

New Windsor, 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 Highlands, New York updated?

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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