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

The current PM10 levels in Hempstead, New York are 17.515 μg/m3.

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

The current sulfur dioxide (SO2) levels in Hempstead, New York are 0.495 ppb.

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

The current ozone (O3) levels at Hempstead, New York is 22.315 ppm.

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

The current nitrogen dioxide (NO2) levels at Hempstead, New York is 22.024 ppb.

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

Q: What are the current PM2.5 levels in Hempstead, New York?

The measured PM2.5 levels in Hempstead, New York at present are 5.552 μg/m3.

Stay updated with real-time air quality in Hempstead, New York featuring accurate data on AQI, PM_2.5, PM₁₀, O₃, NO₂, SO₂, and CO levels. Use our interactive map and detailed forecasts to monitor pollution trends, manage health risks, and plan your daily activities with confidence.

Live AQI (Air Quality Index)

Moderate

Hempstead, New York

Last updated: ... (Local time)

Common air pollutants in Hempstead, New York

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

10.21 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

49.48 μg/m³

155

255

425

605+

Ozone (O₃)

19.23 ppb

201

201+

Sulfur Dioxide (SO₂)

1.21 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

20.89 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.38 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Hempstead, New York

Get Live Pollen Counts

Hempstead, New York

Scroll To Air Quality Map

Track live Hempstead, New York air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-11-01T19:00:00.000Z	27 \| good	4.981 \| good	17.202 \| good	26.949 \| good	0.355 \| good	7.77 \| good	0.249 \| good
2026-11-01T20:00:00.000Z	29 \| good	4.918 \| good	16.026 \| good	30.792 \| good	0.554 \| good	7.311 \| good	0.276 \| good
2026-11-01T21:00:00.000Z	33 \| good	5.505 \| good	26.83 \| good	28.977 \| good	0.548 \| good	10.909 \| good	0.296 \| good
2026-11-01T22:00:00.000Z	29 \| good	5.196 \| good	23.387 \| good	30.805 \| good	0.594 \| good	12.265 \| good	0.323 \| good
2026-11-01T23:00:00.000Z	25 \| good	3.784 \| good	20.682 \| good	27.199 \| good	0.612 \| good	7.059 \| good	0.336 \| good
2026-11-02T00:00:00.000Z	33 \| good	6.488 \| good	33.085 \| good	24.277 \| good	0.461 \| good	17.943 \| good	0.469 \| good
2026-11-02T01:00:00.000Z	44 \| good	7.695 \| good	28.729 \| good	14.272 \| good	0.443 \| good	20.443 \| good	0.509 \| good
2026-11-02T02:00:00.000Z	52 \| moderate	9.561 \| good	23.536 \| good	11.78 \| good	0.46 \| good	24.174 \| good	0.509 \| good
2026-11-02T03:00:00.000Z	52 \| moderate	9.564 \| good	32.587 \| good	12.775 \| good	0.741 \| good	21.101 \| good	0.463 \| good
2026-11-02T04:00:00.000Z	54 \| moderate	11.238 \| good	40.481 \| good	16.332 \| good	0.794 \| good	24.077 \| good	0.456 \| good
2026-11-02T05:00:00.000Z	49 \| good	9.347 \| good	35.926 \| good	9.219 \| good	0.965 \| good	23.901 \| good	0.45 \| good
2026-11-02T06:00:00.000Z	52 \| moderate	10.182 \| good	30.176 \| good	14.05 \| good	0.855 \| good	25.081 \| good	0.393 \| good
2026-11-02T07:00:00.000Z	54 \| moderate	10.659 \| good	49.432 \| good	19.615 \| good	0.951 \| good	24.5 \| good	0.37 \| good
2026-11-02T08:00:00.000Z	56 \| moderate	12.26 \| fine	36.129 \| good	17.459 \| good	0.544 \| good	26.121 \| good	0.353 \| good
2026-11-02T09:00:00.000Z	49 \| good	8.681 \| good	39.523 \| good	8.105 \| good	0.764 \| good	26.998 \| good	0.399 \| good
2026-11-02T10:00:00.000Z	49 \| good	9.255 \| good	41.802 \| good	9.206 \| good	0.799 \| good	27.012 \| good	0.354 \| good
2026-11-02T11:00:00.000Z	49 \| good	9.353 \| good	41.017 \| good	7.354 \| good	0.648 \| good	23.626 \| good	0.532 \| good
2026-11-02T12:00:00.000Z	49 \| good	9.315 \| good	41.438 \| good	3.336 \| good	0.759 \| good	25.656 \| good	0.537 \| good
2026-11-02T13:00:00.000Z	49 \| good	9.358 \| good	43.026 \| good	6.805 \| good	0.748 \| good	26.799 \| good	0.6 \| good
2026-11-02T14:00:00.000Z	49 \| good	9.155 \| good	41.014 \| good	7.075 \| good	0.975 \| good	33.171 \| good	0.558 \| good
2026-11-02T15:00:00.000Z	49 \| good	8.806 \| good	35.456 \| good	8.37 \| good	0.924 \| good	32.811 \| good	0.495 \| good
2026-11-02T16:00:00.000Z	49 \| good	9.021 \| good	37.1 \| good	14.757 \| good	0.979 \| good	32.295 \| good	0.483 \| good
2026-11-02T17:00:00.000Z	44 \| good	7.535 \| good	30.163 \| good	18.494 \| good	1.102 \| good	13.221 \| good	0.299 \| good
2026-11-02T18:00:00.000Z	33 \| good	5.505 \| good	26.174 \| good	22.385 \| good	1.189 \| good	12.946 \| good	0.293 \| good
2026-11-02T19:00:00.000Z	27 \| good	4.172 \| good	17.931 \| good	28.674 \| good	0.838 \| good	13.454 \| good	0.293 \| good
2026-11-02T20:00:00.000Z	28 \| good	4.648 \| good	25.231 \| good	30.328 \| good	0.679 \| good	17.524 \| good	0.313 \| good
2026-11-02T21:00:00.000Z	32 \| good	4.123 \| good	19.982 \| good	34.806 \| good	0.68 \| good	16.134 \| good	0.313 \| good
2026-11-02T22:00:00.000Z	31 \| good	3.512 \| good	15.591 \| good	32.885 \| good	0.678 \| good	15.643 \| good	0.313 \| good
2026-11-02T23:00:00.000Z	30 \| good	4.995 \| good	20.657 \| good	31.753 \| good	0.55 \| good	18.646 \| good	0.333 \| good
2026-11-03T00:00:00.000Z	29 \| good	4.999 \| good	23.103 \| good	30.807 \| good	0.512 \| good	19.823 \| good	0.41 \| good
2026-11-03T01:00:00.000Z	27 \| good	4.267 \| good	18.606 \| good	27.004 \| good	0.495 \| good	29.451 \| good	0.451 \| good
2026-11-03T02:00:00.000Z	33 \| good	5.52 \| good	14.317 \| good	26.71 \| good	0.521 \| good	23.756 \| good	0.479 \| good
2026-11-03T03:00:00.000Z	33 \| good	5.552 \| good	17.515 \| good	22.315 \| good	0.495 \| good	22.024 \| good	0.39 \| good
2026-11-03T04:00:00.000Z	33 \| good	5.812 \| good	13.421 \| good	20.917 \| good	0.614 \| good	18.692 \| good	0.376 \| good
2026-11-03T05:00:00.000Z	24 \| good	3.619 \| good	25.251 \| good	26.398 \| good	0.785 \| good	21.232 \| good	0.37 \| good
2026-11-03T06:00:00.000Z	26 \| good	4.002 \| good	24.618 \| good	27.552 \| good	0.81 \| good	24.93 \| good	0.37 \| good
2026-11-03T07:00:00.000Z	24 \| good	4.486 \| good	25.693 \| good	24.502 \| good	0.695 \| good	21.583 \| good	0.373 \| good
2026-11-03T08:00:00.000Z	28 \| good	4.743 \| good	30.118 \| good	21.154 \| good	0.555 \| good	23.068 \| good	0.293 \| good
2026-11-03T09:00:00.000Z	38 \| good	6.911 \| good	34.81 \| good	20.298 \| good	0.582 \| good	25.025 \| good	0.334 \| good
2026-11-03T10:00:00.000Z	44 \| good	7.746 \| good	33.562 \| good	10.203 \| good	0.641 \| good	23.945 \| good	0.324 \| good
2026-11-03T11:00:00.000Z	44 \| good	8.073 \| good	35.178 \| good	9.309 \| good	0.662 \| good	28.046 \| good	0.366 \| good
2026-11-03T12:00:00.000Z	52 \| moderate	10.355 \| good	46.37 \| good	4.904 \| good	0.872 \| good	27.476 \| good	0.463 \| good
2026-11-03T13:00:00.000Z	52 \| moderate	9.768 \| good	43.422 \| good	7.947 \| good	0.889 \| good	28.842 \| good	0.493 \| good
2026-11-03T14:00:00.000Z	54 \| moderate	11.314 \| good	48.384 \| good	8.096 \| good	0.837 \| good	28.447 \| good	0.499 \| good
2026-11-03T15:00:00.000Z	62 \| moderate	14.996 \| fine	60.502 \| fine	8.83 \| good	0.969 \| good	30.987 \| good	0.486 \| good
2026-11-03T16:00:00.000Z	56 \| moderate	12.416 \| fine	57.938 \| fine	9.251 \| good	1.254 \| good	27.356 \| good	0.416 \| good
2026-11-03T17:00:00.000Z	58 \| moderate	12.916 \| fine	51.702 \| good	12.058 \| good	1.325 \| good	27.672 \| good	0.439 \| good
2026-11-03T18:00:00.000Z	52 \| moderate	10.21 \| good	49.483 \| good	19.23 \| good	1.211 \| good	20.895 \| good	0.378 \| good
2026-11-03T18:00:00.000Z	52 \| moderate	10.21 \| good	49.483 \| good	19.23 \| good	1.211 \| good	20.895 \| good	0.378 \| good
2026-11-03T04:00:00.000Z	44 \| good	8.351 \| good	37.124 \| good	10.008 \| good	0.952 \| good	27.159 \| good	0.234 \| good
2026-11-03T05:00:00.000Z	44 \| good	7.726 \| good	34.194 \| good	10.32 \| good	0.903 \| good	25.981 \| good	0.229 \| good
2026-11-03T06:00:00.000Z	44 \| good	7.546 \| good	33.49 \| good	9.814 \| good	0.891 \| good	24.146 \| good	0.226 \| good
2026-11-03T07:00:00.000Z	44 \| good	7.662 \| good	33.574 \| good	10.283 \| good	0.891 \| good	22.993 \| good	0.225 \| good
2026-11-03T08:00:00.000Z	44 \| good	7.775 \| good	34.13 \| good	10.601 \| good	0.905 \| good	23.467 \| good	0.228 \| good
2026-11-03T09:00:00.000Z	49 \| good	8.757 \| good	39.011 \| good	6.943 \| good	0.94 \| good	25.205 \| good	0.234 \| good
2026-11-03T10:00:00.000Z	54 \| moderate	10.565 \| good	46.764 \| good	1.561 \| good	0.991 \| good	26.384 \| good	0.243 \| good
2026-11-03T11:00:00.000Z	58 \| moderate	12.99 \| fine	57.984 \| fine	0.905 \| good	1.094 \| good	27.417 \| good	0.263 \| good
2026-11-03T12:00:00.000Z	66 \| moderate	16.736 \| fine	73.765 \| fine	1.653 \| good	1.28 \| good	27.579 \| good	0.315 \| good
2026-11-03T13:00:00.000Z	60 \| moderate	14.446 \| fine	64.377 \| fine	6.976 \| good	1.352 \| good	26.459 \| good	0.343 \| good
2026-11-03T14:00:00.000Z	54 \| moderate	11.084 \| good	49.195 \| good	18.65 \| good	1.372 \| good	26.229 \| good	0.306 \| good
2026-11-03T15:00:00.000Z	49 \| good	9.21 \| good	41.121 \| good	25.645 \| good	1.395 \| good	24.418 \| good	0.276 \| good
2026-11-03T16:00:00.000Z	44 \| good	8.461 \| good	37.188 \| good	30.207 \| good	1.426 \| good	22.112 \| good	0.251 \| good
2026-11-03T17:00:00.000Z	44 \| good	8.013 \| good	35.065 \| good	34.246 \| good	1.371 \| good	19.46 \| good	0.233 \| good
2026-11-03T18:00:00.000Z	38 \| good	7.344 \| good	32.39 \| good	36.11 \| good	1.297 \| good	17.544 \| good	0.223 \| good
2026-11-03T19:00:00.000Z	33 \| good	6.449 \| good	28.855 \| good	36.434 \| good	1.227 \| good	17.295 \| good	0.219 \| good
2026-11-03T20:00:00.000Z	34 \| good	5.443 \| good	23.623 \| good	36.761 \| good	1.187 \| good	17.698 \| good	0.214 \| good
2026-11-03T21:00:00.000Z	32 \| good	4.495 \| good	19.783 \| good	34.59 \| good	1.167 \| good	21.517 \| good	0.219 \| good
2026-11-03T22:00:00.000Z	29 \| good	4.352 \| good	18.894 \| good	28.33 \| good	1.135 \| good	31.175 \| good	0.25 \| good
2026-11-03T23:00:00.000Z	30 \| good	4.427 \| good	19.162 \| good	24.839 \| good	1.085 \| good	31.863 \| good	0.25 \| good
2026-11-04T00:00:00.000Z	30 \| good	4.539 \| good	19.734 \| good	22.982 \| good	1.033 \| good	31.57 \| good	0.242 \| good
2026-11-04T01:00:00.000Z	29 \| good	4.973 \| good	21.309 \| good	22.081 \| good	0.993 \| good	30.986 \| good	0.234 \| good
2026-11-04T02:00:00.000Z	28 \| good	5.16 \| good	22.122 \| good	20.574 \| good	0.955 \| good	30.246 \| good	0.227 \| good
2026-11-04T03:00:00.000Z	27 \| good	5.078 \| good	21.708 \| good	19.965 \| good	0.911 \| good	29.442 \| good	0.221 \| good
2026-11-04T04:00:00.000Z	27 \| good	5.018 \| good	21.692 \| good	17.988 \| good	0.842 \| good	28.264 \| good	0.212 \| good
2026-11-04T05:00:00.000Z	27 \| good	4.955 \| good	21.609 \| good	18.323 \| good	0.777 \| good	26.639 \| good	0.2 \| good
2026-11-04T06:00:00.000Z	27 \| good	4.703 \| good	20.386 \| good	17.439 \| good	0.735 \| good	24.244 \| good	0.189 \| good
2026-11-04T07:00:00.000Z	22 \| good	4.466 \| good	19.708 \| good	18.995 \| good	0.712 \| good	21.707 \| good	0.181 \| good
2026-11-04T08:00:00.000Z	22 \| good	4.353 \| good	18.886 \| good	17.818 \| good	0.707 \| good	20.701 \| good	0.177 \| good
2026-11-04T09:00:00.000Z	22 \| good	4.149 \| good	18.195 \| good	15.993 \| good	0.721 \| good	21.145 \| good	0.177 \| good
2026-11-04T10:00:00.000Z	22 \| good	4.198 \| good	18.172 \| good	12.862 \| good	0.772 \| good	22.387 \| good	0.183 \| good
2026-11-04T11:00:00.000Z	23 \| good	4.41 \| good	19.412 \| good	8.175 \| good	0.928 \| good	23.727 \| good	0.209 \| good
2026-11-04T12:00:00.000Z	33 \| good	5.757 \| good	25.183 \| good	5.475 \| good	1.234 \| good	24.422 \| good	0.282 \| good
2026-11-04T13:00:00.000Z	23 \| good	4.08 \| good	17.917 \| good	16.241 \| good	1.386 \| good	23.784 \| good	0.346 \| good
2026-11-04T14:00:00.000Z	25 \| good	3.123 \| good	13.132 \| good	27.054 \| good	1.291 \| good	23.045 \| good	0.252 \| good
2026-11-04T15:00:00.000Z	30 \| good	2.756 \| good	11.375 \| good	31.777 \| good	1.331 \| good	20.525 \| good	0.213 \| good
2026-11-04T16:00:00.000Z	33 \| good	2.727 \| good	11.385 \| good	36.341 \| good	1.248 \| good	16.518 \| good	0.183 \| good
2026-11-04T17:00:00.000Z	36 \| good	2.409 \| good	9.818 \| good	38.73 \| good	1.066 \| good	13.993 \| good	0.172 \| good
2026-11-04T18:00:00.000Z	35 \| good	2.036 \| good	7.982 \| good	37.59 \| good	0.951 \| good	12.45 \| good	0.166 \| good
2026-11-04T19:00:00.000Z	33 \| good	1.783 \| good	7.577 \| good	35.854 \| good	0.881 \| good	11.546 \| good	0.161 \| good
2026-11-04T20:00:00.000Z	33 \| good	1.972 \| good	7.827 \| good	35.624 \| good	0.872 \| good	11.946 \| good	0.158 \| good
2026-11-04T21:00:00.000Z	31 \| good	2.59 \| good	10.71 \| good	33.911 \| good	0.871 \| good	15.196 \| good	0.162 \| good
2026-11-04T22:00:00.000Z	27 \| good	3.181 \| good	14.169 \| good	29.44 \| good	0.863 \| good	24.122 \| good	0.189 \| good
2026-11-04T23:00:00.000Z	26 \| good	2.901 \| good	11.613 \| good	28.126 \| good	0.856 \| good	26.888 \| good	0.194 \| good
2026-11-05T00:00:00.000Z	25 \| good	3.331 \| good	14.4 \| good	26.69 \| good	0.849 \| good	27.018 \| good	0.187 \| good
2026-11-05T01:00:00.000Z	25 \| good	3.2 \| good	14.022 \| good	23.788 \| good	0.857 \| good	27.114 \| good	0.18 \| good
2026-11-05T02:00:00.000Z	25 \| good	2.996 \| good	12.792 \| good	25.945 \| good	0.88 \| good	27.476 \| good	0.176 \| good
2026-11-05T03:00:00.000Z	26 \| good	2.812 \| good	11.638 \| good	25.377 \| good	0.9 \| good	27.73 \| good	0.175 \| good

Hempstead

Empower business decisions with accurate air quality data

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

0.47ppm

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 Hempstead, New York updated?

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

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

The worst air quality in Hempstead, New York was recorded at 01:00:00 on 2026-11-02.

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

The best air quality in Hempstead, New York was recorded at 01:00:00 on 2026-11-03.

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

The real-time air quality index in Hempstead, New York is 33, currently categorized as Good.

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

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

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

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

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

The measured PM_2.5 levels in Hempstead, New York at present are 5.552 μg/m³.

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

The current PM₁₀ levels in Hempstead, New York are 17.515 μg/m³.

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

The current carbon monoxide (CO) level in Hempstead, New York is 0.39 ppm.

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

The current sulfur dioxide (SO₂) levels in Hempstead, New York are 0.495 ppb.

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

The current ozone (O₃) levels at Hempstead, New York is 22.315 ppm.

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

The current nitrogen dioxide (NO₂) levels at Hempstead, New York is 22.024 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-11-01T19:00:00.000Z	27 \| good	4.981 \| good	17.202 \| good	26.949 \| good	0.355 \| good	7.77 \| good	0.249 \| good
2026-11-01T20:00:00.000Z	29 \| good	4.918 \| good	16.026 \| good	30.792 \| good	0.554 \| good	7.311 \| good	0.276 \| good
2026-11-01T21:00:00.000Z	33 \| good	5.505 \| good	26.83 \| good	28.977 \| good	0.548 \| good	10.909 \| good	0.296 \| good
2026-11-01T22:00:00.000Z	29 \| good	5.196 \| good	23.387 \| good	30.805 \| good	0.594 \| good	12.265 \| good	0.323 \| good
2026-11-01T23:00:00.000Z	25 \| good	3.784 \| good	20.682 \| good	27.199 \| good	0.612 \| good	7.059 \| good	0.336 \| good
2026-11-02T00:00:00.000Z	33 \| good	6.488 \| good	33.085 \| good	24.277 \| good	0.461 \| good	17.943 \| good	0.469 \| good
2026-11-02T01:00:00.000Z	44 \| good	7.695 \| good	28.729 \| good	14.272 \| good	0.443 \| good	20.443 \| good	0.509 \| good
2026-11-02T02:00:00.000Z	52 \| moderate	9.561 \| good	23.536 \| good	11.78 \| good	0.46 \| good	24.174 \| good	0.509 \| good
2026-11-02T03:00:00.000Z	52 \| moderate	9.564 \| good	32.587 \| good	12.775 \| good	0.741 \| good	21.101 \| good	0.463 \| good
2026-11-02T04:00:00.000Z	54 \| moderate	11.238 \| good	40.481 \| good	16.332 \| good	0.794 \| good	24.077 \| good	0.456 \| good
2026-11-02T05:00:00.000Z	49 \| good	9.347 \| good	35.926 \| good	9.219 \| good	0.965 \| good	23.901 \| good	0.45 \| good
2026-11-02T06:00:00.000Z	52 \| moderate	10.182 \| good	30.176 \| good	14.05 \| good	0.855 \| good	25.081 \| good	0.393 \| good
2026-11-02T07:00:00.000Z	54 \| moderate	10.659 \| good	49.432 \| good	19.615 \| good	0.951 \| good	24.5 \| good	0.37 \| good
2026-11-02T08:00:00.000Z	56 \| moderate	12.26 \| fine	36.129 \| good	17.459 \| good	0.544 \| good	26.121 \| good	0.353 \| good
2026-11-02T09:00:00.000Z	49 \| good	8.681 \| good	39.523 \| good	8.105 \| good	0.764 \| good	26.998 \| good	0.399 \| good
2026-11-02T10:00:00.000Z	49 \| good	9.255 \| good	41.802 \| good	9.206 \| good	0.799 \| good	27.012 \| good	0.354 \| good
2026-11-02T11:00:00.000Z	49 \| good	9.353 \| good	41.017 \| good	7.354 \| good	0.648 \| good	23.626 \| good	0.532 \| good
2026-11-02T12:00:00.000Z	49 \| good	9.315 \| good	41.438 \| good	3.336 \| good	0.759 \| good	25.656 \| good	0.537 \| good
2026-11-02T13:00:00.000Z	49 \| good	9.358 \| good	43.026 \| good	6.805 \| good	0.748 \| good	26.799 \| good	0.6 \| good
2026-11-02T14:00:00.000Z	49 \| good	9.155 \| good	41.014 \| good	7.075 \| good	0.975 \| good	33.171 \| good	0.558 \| good
2026-11-02T15:00:00.000Z	49 \| good	8.806 \| good	35.456 \| good	8.37 \| good	0.924 \| good	32.811 \| good	0.495 \| good
2026-11-02T16:00:00.000Z	49 \| good	9.021 \| good	37.1 \| good	14.757 \| good	0.979 \| good	32.295 \| good	0.483 \| good
2026-11-02T17:00:00.000Z	44 \| good	7.535 \| good	30.163 \| good	18.494 \| good	1.102 \| good	13.221 \| good	0.299 \| good
2026-11-02T18:00:00.000Z	33 \| good	5.505 \| good	26.174 \| good	22.385 \| good	1.189 \| good	12.946 \| good	0.293 \| good
2026-11-02T19:00:00.000Z	27 \| good	4.172 \| good	17.931 \| good	28.674 \| good	0.838 \| good	13.454 \| good	0.293 \| good
2026-11-02T20:00:00.000Z	28 \| good	4.648 \| good	25.231 \| good	30.328 \| good	0.679 \| good	17.524 \| good	0.313 \| good
2026-11-02T21:00:00.000Z	32 \| good	4.123 \| good	19.982 \| good	34.806 \| good	0.68 \| good	16.134 \| good	0.313 \| good
2026-11-02T22:00:00.000Z	31 \| good	3.512 \| good	15.591 \| good	32.885 \| good	0.678 \| good	15.643 \| good	0.313 \| good
2026-11-02T23:00:00.000Z	30 \| good	4.995 \| good	20.657 \| good	31.753 \| good	0.55 \| good	18.646 \| good	0.333 \| good
2026-11-03T00:00:00.000Z	29 \| good	4.999 \| good	23.103 \| good	30.807 \| good	0.512 \| good	19.823 \| good	0.41 \| good
2026-11-03T01:00:00.000Z	27 \| good	4.267 \| good	18.606 \| good	27.004 \| good	0.495 \| good	29.451 \| good	0.451 \| good
2026-11-03T02:00:00.000Z	33 \| good	5.52 \| good	14.317 \| good	26.71 \| good	0.521 \| good	23.756 \| good	0.479 \| good
2026-11-03T03:00:00.000Z	33 \| good	5.552 \| good	17.515 \| good	22.315 \| good	0.495 \| good	22.024 \| good	0.39 \| good
2026-11-03T04:00:00.000Z	33 \| good	5.812 \| good	13.421 \| good	20.917 \| good	0.614 \| good	18.692 \| good	0.376 \| good
2026-11-03T05:00:00.000Z	24 \| good	3.619 \| good	25.251 \| good	26.398 \| good	0.785 \| good	21.232 \| good	0.37 \| good
2026-11-03T06:00:00.000Z	26 \| good	4.002 \| good	24.618 \| good	27.552 \| good	0.81 \| good	24.93 \| good	0.37 \| good
2026-11-03T07:00:00.000Z	24 \| good	4.486 \| good	25.693 \| good	24.502 \| good	0.695 \| good	21.583 \| good	0.373 \| good
2026-11-03T08:00:00.000Z	28 \| good	4.743 \| good	30.118 \| good	21.154 \| good	0.555 \| good	23.068 \| good	0.293 \| good
2026-11-03T09:00:00.000Z	38 \| good	6.911 \| good	34.81 \| good	20.298 \| good	0.582 \| good	25.025 \| good	0.334 \| good
2026-11-03T10:00:00.000Z	44 \| good	7.746 \| good	33.562 \| good	10.203 \| good	0.641 \| good	23.945 \| good	0.324 \| good
2026-11-03T11:00:00.000Z	44 \| good	8.073 \| good	35.178 \| good	9.309 \| good	0.662 \| good	28.046 \| good	0.366 \| good
2026-11-03T12:00:00.000Z	52 \| moderate	10.355 \| good	46.37 \| good	4.904 \| good	0.872 \| good	27.476 \| good	0.463 \| good
2026-11-03T13:00:00.000Z	52 \| moderate	9.768 \| good	43.422 \| good	7.947 \| good	0.889 \| good	28.842 \| good	0.493 \| good
2026-11-03T14:00:00.000Z	54 \| moderate	11.314 \| good	48.384 \| good	8.096 \| good	0.837 \| good	28.447 \| good	0.499 \| good
2026-11-03T15:00:00.000Z	62 \| moderate	14.996 \| fine	60.502 \| fine	8.83 \| good	0.969 \| good	30.987 \| good	0.486 \| good
2026-11-03T16:00:00.000Z	56 \| moderate	12.416 \| fine	57.938 \| fine	9.251 \| good	1.254 \| good	27.356 \| good	0.416 \| good
2026-11-03T17:00:00.000Z	58 \| moderate	12.916 \| fine	51.702 \| good	12.058 \| good	1.325 \| good	27.672 \| good	0.439 \| good
2026-11-03T18:00:00.000Z	52 \| moderate	10.21 \| good	49.483 \| good	19.23 \| good	1.211 \| good	20.895 \| good	0.378 \| good
2026-11-03T18:00:00.000Z	52 \| moderate	10.21 \| good	49.483 \| good	19.23 \| good	1.211 \| good	20.895 \| good	0.378 \| good
2026-11-03T04:00:00.000Z	44 \| good	8.351 \| good	37.124 \| good	10.008 \| good	0.952 \| good	27.159 \| good	0.234 \| good
2026-11-03T05:00:00.000Z	44 \| good	7.726 \| good	34.194 \| good	10.32 \| good	0.903 \| good	25.981 \| good	0.229 \| good
2026-11-03T06:00:00.000Z	44 \| good	7.546 \| good	33.49 \| good	9.814 \| good	0.891 \| good	24.146 \| good	0.226 \| good
2026-11-03T07:00:00.000Z	44 \| good	7.662 \| good	33.574 \| good	10.283 \| good	0.891 \| good	22.993 \| good	0.225 \| good
2026-11-03T08:00:00.000Z	44 \| good	7.775 \| good	34.13 \| good	10.601 \| good	0.905 \| good	23.467 \| good	0.228 \| good
2026-11-03T09:00:00.000Z	49 \| good	8.757 \| good	39.011 \| good	6.943 \| good	0.94 \| good	25.205 \| good	0.234 \| good
2026-11-03T10:00:00.000Z	54 \| moderate	10.565 \| good	46.764 \| good	1.561 \| good	0.991 \| good	26.384 \| good	0.243 \| good
2026-11-03T11:00:00.000Z	58 \| moderate	12.99 \| fine	57.984 \| fine	0.905 \| good	1.094 \| good	27.417 \| good	0.263 \| good
2026-11-03T12:00:00.000Z	66 \| moderate	16.736 \| fine	73.765 \| fine	1.653 \| good	1.28 \| good	27.579 \| good	0.315 \| good
2026-11-03T13:00:00.000Z	60 \| moderate	14.446 \| fine	64.377 \| fine	6.976 \| good	1.352 \| good	26.459 \| good	0.343 \| good
2026-11-03T14:00:00.000Z	54 \| moderate	11.084 \| good	49.195 \| good	18.65 \| good	1.372 \| good	26.229 \| good	0.306 \| good
2026-11-03T15:00:00.000Z	49 \| good	9.21 \| good	41.121 \| good	25.645 \| good	1.395 \| good	24.418 \| good	0.276 \| good
2026-11-03T16:00:00.000Z	44 \| good	8.461 \| good	37.188 \| good	30.207 \| good	1.426 \| good	22.112 \| good	0.251 \| good
2026-11-03T17:00:00.000Z	44 \| good	8.013 \| good	35.065 \| good	34.246 \| good	1.371 \| good	19.46 \| good	0.233 \| good
2026-11-03T18:00:00.000Z	38 \| good	7.344 \| good	32.39 \| good	36.11 \| good	1.297 \| good	17.544 \| good	0.223 \| good
2026-11-03T19:00:00.000Z	33 \| good	6.449 \| good	28.855 \| good	36.434 \| good	1.227 \| good	17.295 \| good	0.219 \| good
2026-11-03T20:00:00.000Z	34 \| good	5.443 \| good	23.623 \| good	36.761 \| good	1.187 \| good	17.698 \| good	0.214 \| good
2026-11-03T21:00:00.000Z	32 \| good	4.495 \| good	19.783 \| good	34.59 \| good	1.167 \| good	21.517 \| good	0.219 \| good
2026-11-03T22:00:00.000Z	29 \| good	4.352 \| good	18.894 \| good	28.33 \| good	1.135 \| good	31.175 \| good	0.25 \| good
2026-11-03T23:00:00.000Z	30 \| good	4.427 \| good	19.162 \| good	24.839 \| good	1.085 \| good	31.863 \| good	0.25 \| good
2026-11-04T00:00:00.000Z	30 \| good	4.539 \| good	19.734 \| good	22.982 \| good	1.033 \| good	31.57 \| good	0.242 \| good
2026-11-04T01:00:00.000Z	29 \| good	4.973 \| good	21.309 \| good	22.081 \| good	0.993 \| good	30.986 \| good	0.234 \| good
2026-11-04T02:00:00.000Z	28 \| good	5.16 \| good	22.122 \| good	20.574 \| good	0.955 \| good	30.246 \| good	0.227 \| good
2026-11-04T03:00:00.000Z	27 \| good	5.078 \| good	21.708 \| good	19.965 \| good	0.911 \| good	29.442 \| good	0.221 \| good
2026-11-04T04:00:00.000Z	27 \| good	5.018 \| good	21.692 \| good	17.988 \| good	0.842 \| good	28.264 \| good	0.212 \| good
2026-11-04T05:00:00.000Z	27 \| good	4.955 \| good	21.609 \| good	18.323 \| good	0.777 \| good	26.639 \| good	0.2 \| good
2026-11-04T06:00:00.000Z	27 \| good	4.703 \| good	20.386 \| good	17.439 \| good	0.735 \| good	24.244 \| good	0.189 \| good
2026-11-04T07:00:00.000Z	22 \| good	4.466 \| good	19.708 \| good	18.995 \| good	0.712 \| good	21.707 \| good	0.181 \| good
2026-11-04T08:00:00.000Z	22 \| good	4.353 \| good	18.886 \| good	17.818 \| good	0.707 \| good	20.701 \| good	0.177 \| good
2026-11-04T09:00:00.000Z	22 \| good	4.149 \| good	18.195 \| good	15.993 \| good	0.721 \| good	21.145 \| good	0.177 \| good
2026-11-04T10:00:00.000Z	22 \| good	4.198 \| good	18.172 \| good	12.862 \| good	0.772 \| good	22.387 \| good	0.183 \| good
2026-11-04T11:00:00.000Z	23 \| good	4.41 \| good	19.412 \| good	8.175 \| good	0.928 \| good	23.727 \| good	0.209 \| good
2026-11-04T12:00:00.000Z	33 \| good	5.757 \| good	25.183 \| good	5.475 \| good	1.234 \| good	24.422 \| good	0.282 \| good
2026-11-04T13:00:00.000Z	23 \| good	4.08 \| good	17.917 \| good	16.241 \| good	1.386 \| good	23.784 \| good	0.346 \| good
2026-11-04T14:00:00.000Z	25 \| good	3.123 \| good	13.132 \| good	27.054 \| good	1.291 \| good	23.045 \| good	0.252 \| good
2026-11-04T15:00:00.000Z	30 \| good	2.756 \| good	11.375 \| good	31.777 \| good	1.331 \| good	20.525 \| good	0.213 \| good
2026-11-04T16:00:00.000Z	33 \| good	2.727 \| good	11.385 \| good	36.341 \| good	1.248 \| good	16.518 \| good	0.183 \| good
2026-11-04T17:00:00.000Z	36 \| good	2.409 \| good	9.818 \| good	38.73 \| good	1.066 \| good	13.993 \| good	0.172 \| good
2026-11-04T18:00:00.000Z	35 \| good	2.036 \| good	7.982 \| good	37.59 \| good	0.951 \| good	12.45 \| good	0.166 \| good
2026-11-04T19:00:00.000Z	33 \| good	1.783 \| good	7.577 \| good	35.854 \| good	0.881 \| good	11.546 \| good	0.161 \| good
2026-11-04T20:00:00.000Z	33 \| good	1.972 \| good	7.827 \| good	35.624 \| good	0.872 \| good	11.946 \| good	0.158 \| good
2026-11-04T21:00:00.000Z	31 \| good	2.59 \| good	10.71 \| good	33.911 \| good	0.871 \| good	15.196 \| good	0.162 \| good
2026-11-04T22:00:00.000Z	27 \| good	3.181 \| good	14.169 \| good	29.44 \| good	0.863 \| good	24.122 \| good	0.189 \| good
2026-11-04T23:00:00.000Z	26 \| good	2.901 \| good	11.613 \| good	28.126 \| good	0.856 \| good	26.888 \| good	0.194 \| good
2026-11-05T00:00:00.000Z	25 \| good	3.331 \| good	14.4 \| good	26.69 \| good	0.849 \| good	27.018 \| good	0.187 \| good
2026-11-05T01:00:00.000Z	25 \| good	3.2 \| good	14.022 \| good	23.788 \| good	0.857 \| good	27.114 \| good	0.18 \| good
2026-11-05T02:00:00.000Z	25 \| good	2.996 \| good	12.792 \| good	25.945 \| good	0.88 \| good	27.476 \| good	0.176 \| good
2026-11-05T03:00:00.000Z	26 \| good	2.812 \| good	11.638 \| good	25.377 \| good	0.9 \| good	27.73 \| good	0.175 \| good

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

Common air pollutants in Hempstead, New York

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Hempstead, New York air quality forecast and history

Empower business decisions with accurate air quality data

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

Air quality in nearby cities

Garden City, New York

Mineola, New York

North Hempstead, New York

Rockville Centre, New York

Westbury, New York

Freeport, 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 Hempstead, New York updated?

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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