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

The current PM10 levels in Hempstead, New York are 18.121 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 0.862 ppb.

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

The current ozone (O3) levels at Hempstead, New York is 26.612 ppm.

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

The current nitrogen dioxide (NO2) levels at Hempstead, New York is 18.339 ppb.

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

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

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)

Good

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)

3.52 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

7.06 μg/m³

155

255

425

605+

Ozone (O₃)

23.40 ppb

201

201+

Sulfur Dioxide (SO₂)

0.24 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

12.56 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.13 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

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
2025-10-19T06:00:00.000Z	44 \| good	8.128 \| good	23.727 \| good	16.7 \| good	0.172 \| good	14.857 \| good	0.39 \| good
2025-10-19T07:00:00.000Z	38 \| good	7.057 \| good	28.566 \| good	23.207 \| good	0.163 \| good	13.559 \| good	0.389 \| good
2025-10-19T08:00:00.000Z	49 \| good	8.594 \| good	27.046 \| good	17.789 \| good	0.197 \| good	12.628 \| good	0.368 \| good
2025-10-19T09:00:00.000Z	52 \| moderate	10.232 \| good	24.863 \| good	24.713 \| good	0.204 \| good	13.573 \| good	0.347 \| good
2025-10-19T10:00:00.000Z	49 \| good	9.359 \| good	19.272 \| good	22.331 \| good	0.254 \| good	18.651 \| good	0.334 \| good
2025-10-19T11:00:00.000Z	38 \| good	7.121 \| good	23.502 \| good	22.392 \| good	0.457 \| good	19.959 \| good	0.407 \| good
2025-10-19T12:00:00.000Z	38 \| good	7.423 \| good	19.865 \| good	24.172 \| good	0.718 \| good	15.472 \| good	0.563 \| good
2025-10-19T13:00:00.000Z	44 \| good	8.23 \| good	41.767 \| good	14.2 \| good	0.727 \| good	15.156 \| good	0.611 \| good
2025-10-19T14:00:00.000Z	38 \| good	6.507 \| good	28.675 \| good	11.62 \| good	0.408 \| good	7.916 \| good	0.304 \| good
2025-10-19T15:00:00.000Z	44 \| good	7.954 \| good	28.088 \| good	18.736 \| good	0.25 \| good	5.048 \| good	0.304 \| good
2025-10-19T16:00:00.000Z	33 \| good	6.062 \| good	29.458 \| good	31.316 \| good	0.255 \| good	5.408 \| good	0.29 \| good
2025-10-19T17:00:00.000Z	31 \| good	5.217 \| good	21.131 \| good	34.257 \| good	0.166 \| good	3.369 \| good	0.261 \| good
2025-10-19T18:00:00.000Z	34 \| good	6.283 \| good	29.072 \| good	37.277 \| good	0.27 \| good	3.878 \| good	0.285 \| good
2025-10-19T19:00:00.000Z	38 \| good	7.104 \| good	30.984 \| good	39.44 \| good	0.292 \| good	4.423 \| good	0.229 \| good
2025-10-19T20:00:00.000Z	40 \| good	6.727 \| good	38.652 \| good	43.488 \| good	0.199 \| good	3.443 \| good	0.238 \| good
2025-10-19T21:00:00.000Z	44 \| good	7.543 \| good	33.745 \| good	45.357 \| good	0.214 \| good	4.683 \| good	0.238 \| good
2025-10-19T22:00:00.000Z	44 \| good	7.761 \| good	33.919 \| good	43.991 \| good	0.319 \| good	4.536 \| good	0.238 \| good
2025-10-19T23:00:00.000Z	49 \| good	8.947 \| good	41.796 \| good	44.269 \| good	0.252 \| good	4.459 \| good	0.259 \| good
2025-10-20T00:00:00.000Z	49 \| good	8.814 \| good	40.015 \| good	44.26 \| good	0.238 \| good	5.665 \| good	0.259 \| good
2025-10-20T01:00:00.000Z	49 \| good	9.123 \| good	39.936 \| good	44.251 \| good	0.222 \| good	4.52 \| good	0.25 \| good
2025-10-20T02:00:00.000Z	44 \| good	7.92 \| good	28.791 \| good	42.545 \| good	0.164 \| good	4.495 \| good	0.229 \| good
2025-10-20T03:00:00.000Z	40 \| good	5.769 \| good	17.79 \| good	43.474 \| good	0.189 \| good	4.588 \| good	0.201 \| good
2025-10-20T04:00:00.000Z	40 \| good	6.564 \| good	21.85 \| good	42.953 \| good	0.174 \| good	3.641 \| good	0.201 \| good
2025-10-20T05:00:00.000Z	39 \| good	5.962 \| good	15.727 \| good	41.791 \| good	0.24 \| good	3.781 \| good	0.201 \| good
2025-10-20T06:00:00.000Z	39 \| good	5.961 \| good	22.453 \| good	42.4 \| good	0.251 \| good	2.639 \| good	0.188 \| good
2025-10-20T07:00:00.000Z	39 \| good	5.281 \| good	22.367 \| good	41.873 \| good	0.222 \| good	2.728 \| good	0.192 \| good
2025-10-20T08:00:00.000Z	38 \| good	5.766 \| good	17.048 \| good	41.027 \| good	0.287 \| good	2.966 \| good	0.161 \| good
2025-10-20T09:00:00.000Z	36 \| good	6.347 \| good	24.293 \| good	38.934 \| good	0.294 \| good	2.949 \| good	0.161 \| good
2025-10-20T10:00:00.000Z	38 \| good	6.553 \| good	29.591 \| good	37.374 \| good	0.244 \| good	3.816 \| good	0.175 \| good
2025-10-20T11:00:00.000Z	38 \| good	5.067 \| good	21.77 \| good	40.702 \| good	0.329 \| good	14.075 \| good	0.237 \| good
2025-10-20T12:00:00.000Z	34 \| good	3.577 \| good	14.64 \| good	37.046 \| good	0.299 \| good	14.593 \| good	0.228 \| good
2025-10-20T13:00:00.000Z	31 \| good	3.327 \| good	8.845 \| good	33.082 \| good	0.345 \| good	15.939 \| good	0.229 \| good
2025-10-20T14:00:00.000Z	27 \| good	2.974 \| good	13.43 \| good	28.514 \| good	0.242 \| good	10.731 \| good	0.254 \| good
2025-10-20T15:00:00.000Z	25 \| good	1.431 \| good	9.824 \| good	27.366 \| good	0.225 \| good	9.356 \| good	0.228 \| good
2025-10-20T16:00:00.000Z	23 \| good	1.889 \| good	8.087 \| good	24.839 \| good	0.781 \| good	8.601 \| good	0.187 \| good
2025-10-20T17:00:00.000Z	22 \| good	2.611 \| good	9.12 \| good	23.708 \| good	0.595 \| good	7.616 \| good	0.187 \| good
2025-10-20T18:00:00.000Z	20 \| good	2.307 \| good	11.854 \| good	22.074 \| good	1.006 \| good	7.435 \| good	0.187 \| good
2025-10-20T19:00:00.000Z	20 \| good	1.714 \| good	12.563 \| good	21.972 \| good	0.179 \| good	5.534 \| good	0.16 \| good
2025-10-20T20:00:00.000Z	21 \| good	1.599 \| good	9.815 \| good	23.084 \| good	0.29 \| good	4.69 \| good	0.14 \| good
2025-10-20T21:00:00.000Z	22 \| good	2.815 \| good	12.382 \| good	23.831 \| good	0.204 \| good	5.522 \| good	0.176 \| good
2025-10-20T22:00:00.000Z	19 \| good	3.014 \| good	13.776 \| good	21.386 \| good	0.476 \| good	6.501 \| good	0.14 \| good
2025-10-20T23:00:00.000Z	24 \| good	2.327 \| good	7.677 \| good	25.878 \| good	0.185 \| good	8.148 \| good	0.113 \| good
2025-10-21T00:00:00.000Z	23 \| good	1.785 \| good	9.656 \| good	24.856 \| good	0.201 \| good	8.242 \| good	0.16 \| good
2025-10-21T01:00:00.000Z	20 \| good	3.454 \| good	11.057 \| good	21.963 \| good	0.239 \| good	7.925 \| good	0.16 \| good
2025-10-21T02:00:00.000Z	23 \| good	3.327 \| good	11.683 \| good	25.497 \| good	0.24 \| good	10.017 \| good	0.16 \| good
2025-10-21T03:00:00.000Z	19 \| good	3.443 \| good	15.051 \| good	20.613 \| good	1.597 \| good	12.15 \| good	0.151 \| good
2025-10-21T04:00:00.000Z	22 \| good	3.519 \| good	7.057 \| good	23.397 \| good	0.24 \| good	12.557 \| good	0.133 \| good
2025-10-21T05:00:00.000Z	27 \| good	4.747 \| good	17.883 \| good	18.745 \| good	0.24 \| good	12.419 \| good	0.133 \| good
2025-10-21T05:00:00.000Z	22 \| good	3.519 \| good	7.057 \| good	23.397 \| good	0.24 \| good	12.557 \| good	0.133 \| good
2025-10-21T06:00:00.000Z	22 \| good	3.773 \| good	16.268 \| good	22.699 \| good	1.522 \| good	8.499 \| good	0.141 \| good
2025-10-21T07:00:00.000Z	22 \| good	3.93 \| good	17.139 \| good	22.726 \| good	1.602 \| good	8.433 \| good	0.138 \| good
2025-10-21T08:00:00.000Z	22 \| good	4.441 \| good	19.451 \| good	19.521 \| good	1.682 \| good	8.366 \| good	0.136 \| good
2025-10-21T09:00:00.000Z	27 \| good	4.587 \| good	19.79 \| good	12.978 \| good	1.761 \| good	8.3 \| good	0.133 \| good
2025-10-21T10:00:00.000Z	27 \| good	5.262 \| good	23.137 \| good	6.816 \| good	2.037 \| good	10.171 \| good	0.147 \| good
2025-10-21T11:00:00.000Z	33 \| good	6.296 \| good	28.164 \| good	4.852 \| good	2.313 \| good	12.042 \| good	0.16 \| good
2025-10-21T12:00:00.000Z	38 \| good	7.266 \| good	31.825 \| good	9.491 \| good	2.589 \| good	13.914 \| good	0.174 \| good
2025-10-21T13:00:00.000Z	44 \| good	7.591 \| good	33.273 \| good	18.036 \| good	3.066 \| good	12.776 \| good	0.174 \| good
2025-10-21T14:00:00.000Z	44 \| good	7.971 \| good	35.127 \| good	24.74 \| good	3.543 \| good	11.639 \| good	0.174 \| good
2025-10-21T15:00:00.000Z	49 \| good	8.788 \| good	38.643 \| good	29.412 \| good	4.02 \| good	10.501 \| good	0.175 \| good
2025-10-21T16:00:00.000Z	44 \| good	8.352 \| good	36.55 \| good	35.722 \| good	3.674 \| good	8.834 \| good	0.163 \| good
2025-10-21T17:00:00.000Z	44 \| good	8.027 \| good	35.108 \| good	39.97 \| good	3.328 \| good	7.167 \| good	0.151 \| good
2025-10-21T18:00:00.000Z	44 \| good	7.691 \| good	34 \| good	43.164 \| good	2.983 \| good	5.499 \| good	0.139 \| good
2025-10-21T19:00:00.000Z	40 \| good	6.891 \| good	30.453 \| good	42.991 \| good	2.593 \| good	5.408 \| good	0.14 \| good
2025-10-21T20:00:00.000Z	40 \| good	7.183 \| good	31.974 \| good	42.984 \| good	2.203 \| good	5.316 \| good	0.141 \| good
2025-10-21T21:00:00.000Z	44 \| good	7.978 \| good	35.16 \| good	42.838 \| good	1.813 \| good	5.225 \| good	0.142 \| good
2025-10-21T22:00:00.000Z	44 \| good	8.268 \| good	36.147 \| good	44.007 \| good	1.663 \| good	6.108 \| good	0.145 \| good
2025-10-21T23:00:00.000Z	49 \| good	9.176 \| good	41.13 \| good	45.076 \| good	1.514 \| good	6.991 \| good	0.148 \| good
2025-10-22T00:00:00.000Z	49 \| good	8.951 \| good	39.494 \| good	40.949 \| good	1.364 \| good	7.875 \| good	0.151 \| good
2025-10-22T01:00:00.000Z	44 \| good	7.985 \| good	35.06 \| good	38.303 \| good	1.333 \| good	7.737 \| good	0.147 \| good
2025-10-22T02:00:00.000Z	44 \| good	7.698 \| good	33.956 \| good	36.06 \| good	1.303 \| good	7.599 \| good	0.144 \| good
2025-10-22T03:00:00.000Z	38 \| good	7.165 \| good	31.993 \| good	35.261 \| good	1.272 \| good	7.462 \| good	0.141 \| good
2025-10-22T04:00:00.000Z	38 \| good	7.297 \| good	32.099 \| good	37.739 \| good	1.292 \| good	6.923 \| good	0.14 \| good
2025-10-22T05:00:00.000Z	38 \| good	7.428 \| good	32.791 \| good	36.66 \| good	1.312 \| good	6.384 \| good	0.14 \| good
2025-10-22T06:00:00.000Z	38 \| good	7.163 \| good	31.747 \| good	38.239 \| good	1.332 \| good	5.844 \| good	0.139 \| good
2025-10-22T07:00:00.000Z	38 \| good	6.56 \| good	29.188 \| good	37.423 \| good	1.566 \| good	7.658 \| good	0.144 \| good
2025-10-22T08:00:00.000Z	34 \| good	6.295 \| good	27.904 \| good	36.937 \| good	1.8 \| good	9.471 \| good	0.149 \| good
2025-10-22T09:00:00.000Z	33 \| good	5.983 \| good	26.66 \| good	35.142 \| good	2.033 \| good	11.284 \| good	0.153 \| good
2025-10-22T10:00:00.000Z	33 \| good	6.367 \| good	28.253 \| good	29.097 \| good	2.333 \| good	13.879 \| good	0.176 \| good
2025-10-22T11:00:00.000Z	38 \| good	7.225 \| good	31.706 \| good	22.247 \| good	2.632 \| good	16.473 \| good	0.199 \| good
2025-10-22T12:00:00.000Z	44 \| good	8.18 \| good	36.013 \| good	22.966 \| good	2.931 \| good	19.067 \| good	0.222 \| good
2025-10-22T13:00:00.000Z	44 \| good	8.027 \| good	35.2 \| good	27.147 \| good	3.616 \| good	16.325 \| good	0.218 \| good
2025-10-22T14:00:00.000Z	38 \| good	6.792 \| good	30.084 \| good	32.128 \| good	4.301 \| good	13.582 \| good	0.214 \| good
2025-10-22T15:00:00.000Z	33 \| good	4.999 \| good	21.717 \| good	35.548 \| good	4.987 \| good	10.839 \| good	0.21 \| good
2025-10-22T16:00:00.000Z	34 \| good	5.154 \| good	22.16 \| good	37.296 \| good	4.129 \| good	8.511 \| good	0.188 \| good
2025-10-22T17:00:00.000Z	36 \| good	5.618 \| good	24.242 \| good	39.067 \| good	3.27 \| good	6.184 \| good	0.165 \| good
2025-10-22T18:00:00.000Z	37 \| good	6.211 \| good	27.326 \| good	40.328 \| good	2.412 \| good	3.856 \| good	0.142 \| good
2025-10-22T19:00:00.000Z	38 \| good	6.832 \| good	30.312 \| good	40.801 \| good	2.226 \| good	4.153 \| good	0.142 \| good
2025-10-22T20:00:00.000Z	38 \| good	7.168 \| good	31.791 \| good	39.286 \| good	2.039 \| good	4.45 \| good	0.142 \| good
2025-10-22T21:00:00.000Z	38 \| good	6.806 \| good	30.099 \| good	32.485 \| good	1.853 \| good	4.748 \| good	0.142 \| good
2025-10-22T22:00:00.000Z	33 \| good	6.333 \| good	28.242 \| good	27.677 \| good	1.944 \| good	6.815 \| good	0.15 \| good
2025-10-22T23:00:00.000Z	38 \| good	6.936 \| good	30.545 \| good	24.089 \| good	2.036 \| good	8.883 \| good	0.157 \| good
2025-10-23T00:00:00.000Z	33 \| good	5.697 \| good	5.736 \| good	24.863 \| good	2.148 \| good	11.118 \| good	0.166 \| good
2025-10-23T01:00:00.000Z	33 \| good	6 \| good	26.714 \| good	23.368 \| good	2.235 \| good	12.978 \| good	0.171 \| good
2025-10-23T02:00:00.000Z	33 \| good	5.901 \| good	25.564 \| good	21.325 \| good	2.343 \| good	15.005 \| good	0.176 \| good
2025-10-23T03:00:00.000Z	33 \| good	5.791 \| good	25.458 \| good	19.247 \| good	2.451 \| good	17.032 \| good	0.182 \| good
2025-10-23T04:00:00.000Z	33 \| good	5.697 \| good	24.61 \| good	19.319 \| good	2.464 \| good	14.951 \| good	0.176 \| good
2025-10-23T05:00:00.000Z	33 \| good	5.597 \| good	24.538 \| good	18.145 \| good	2.477 \| good	12.87 \| good	0.17 \| good

Hempstead

Empower business decisions with accurate air quality data

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

0.14ppm

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 12:00:00 on 2025-10-18.

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 06:00:00 on 2025-10-18.

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

The real-time air quality index in Hempstead, New York is 25, currently categorized as Good.

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

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

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 3.693 μg/m³.

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

The current PM₁₀ levels in Hempstead, New York are 18.121 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 0.331 ppm.

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

The current sulfur dioxide (SO₂) levels in Hempstead, New York are 0.862 ppb.

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

The current ozone (O₃) levels at Hempstead, New York is 26.612 ppm.

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

The current nitrogen dioxide (NO₂) levels at Hempstead, New York is 18.339 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T06:00:00.000Z	44 \| good	8.128 \| good	23.727 \| good	16.7 \| good	0.172 \| good	14.857 \| good	0.39 \| good
2025-10-19T07:00:00.000Z	38 \| good	7.057 \| good	28.566 \| good	23.207 \| good	0.163 \| good	13.559 \| good	0.389 \| good
2025-10-19T08:00:00.000Z	49 \| good	8.594 \| good	27.046 \| good	17.789 \| good	0.197 \| good	12.628 \| good	0.368 \| good
2025-10-19T09:00:00.000Z	52 \| moderate	10.232 \| good	24.863 \| good	24.713 \| good	0.204 \| good	13.573 \| good	0.347 \| good
2025-10-19T10:00:00.000Z	49 \| good	9.359 \| good	19.272 \| good	22.331 \| good	0.254 \| good	18.651 \| good	0.334 \| good
2025-10-19T11:00:00.000Z	38 \| good	7.121 \| good	23.502 \| good	22.392 \| good	0.457 \| good	19.959 \| good	0.407 \| good
2025-10-19T12:00:00.000Z	38 \| good	7.423 \| good	19.865 \| good	24.172 \| good	0.718 \| good	15.472 \| good	0.563 \| good
2025-10-19T13:00:00.000Z	44 \| good	8.23 \| good	41.767 \| good	14.2 \| good	0.727 \| good	15.156 \| good	0.611 \| good
2025-10-19T14:00:00.000Z	38 \| good	6.507 \| good	28.675 \| good	11.62 \| good	0.408 \| good	7.916 \| good	0.304 \| good
2025-10-19T15:00:00.000Z	44 \| good	7.954 \| good	28.088 \| good	18.736 \| good	0.25 \| good	5.048 \| good	0.304 \| good
2025-10-19T16:00:00.000Z	33 \| good	6.062 \| good	29.458 \| good	31.316 \| good	0.255 \| good	5.408 \| good	0.29 \| good
2025-10-19T17:00:00.000Z	31 \| good	5.217 \| good	21.131 \| good	34.257 \| good	0.166 \| good	3.369 \| good	0.261 \| good
2025-10-19T18:00:00.000Z	34 \| good	6.283 \| good	29.072 \| good	37.277 \| good	0.27 \| good	3.878 \| good	0.285 \| good
2025-10-19T19:00:00.000Z	38 \| good	7.104 \| good	30.984 \| good	39.44 \| good	0.292 \| good	4.423 \| good	0.229 \| good
2025-10-19T20:00:00.000Z	40 \| good	6.727 \| good	38.652 \| good	43.488 \| good	0.199 \| good	3.443 \| good	0.238 \| good
2025-10-19T21:00:00.000Z	44 \| good	7.543 \| good	33.745 \| good	45.357 \| good	0.214 \| good	4.683 \| good	0.238 \| good
2025-10-19T22:00:00.000Z	44 \| good	7.761 \| good	33.919 \| good	43.991 \| good	0.319 \| good	4.536 \| good	0.238 \| good
2025-10-19T23:00:00.000Z	49 \| good	8.947 \| good	41.796 \| good	44.269 \| good	0.252 \| good	4.459 \| good	0.259 \| good
2025-10-20T00:00:00.000Z	49 \| good	8.814 \| good	40.015 \| good	44.26 \| good	0.238 \| good	5.665 \| good	0.259 \| good
2025-10-20T01:00:00.000Z	49 \| good	9.123 \| good	39.936 \| good	44.251 \| good	0.222 \| good	4.52 \| good	0.25 \| good
2025-10-20T02:00:00.000Z	44 \| good	7.92 \| good	28.791 \| good	42.545 \| good	0.164 \| good	4.495 \| good	0.229 \| good
2025-10-20T03:00:00.000Z	40 \| good	5.769 \| good	17.79 \| good	43.474 \| good	0.189 \| good	4.588 \| good	0.201 \| good
2025-10-20T04:00:00.000Z	40 \| good	6.564 \| good	21.85 \| good	42.953 \| good	0.174 \| good	3.641 \| good	0.201 \| good
2025-10-20T05:00:00.000Z	39 \| good	5.962 \| good	15.727 \| good	41.791 \| good	0.24 \| good	3.781 \| good	0.201 \| good
2025-10-20T06:00:00.000Z	39 \| good	5.961 \| good	22.453 \| good	42.4 \| good	0.251 \| good	2.639 \| good	0.188 \| good
2025-10-20T07:00:00.000Z	39 \| good	5.281 \| good	22.367 \| good	41.873 \| good	0.222 \| good	2.728 \| good	0.192 \| good
2025-10-20T08:00:00.000Z	38 \| good	5.766 \| good	17.048 \| good	41.027 \| good	0.287 \| good	2.966 \| good	0.161 \| good
2025-10-20T09:00:00.000Z	36 \| good	6.347 \| good	24.293 \| good	38.934 \| good	0.294 \| good	2.949 \| good	0.161 \| good
2025-10-20T10:00:00.000Z	38 \| good	6.553 \| good	29.591 \| good	37.374 \| good	0.244 \| good	3.816 \| good	0.175 \| good
2025-10-20T11:00:00.000Z	38 \| good	5.067 \| good	21.77 \| good	40.702 \| good	0.329 \| good	14.075 \| good	0.237 \| good
2025-10-20T12:00:00.000Z	34 \| good	3.577 \| good	14.64 \| good	37.046 \| good	0.299 \| good	14.593 \| good	0.228 \| good
2025-10-20T13:00:00.000Z	31 \| good	3.327 \| good	8.845 \| good	33.082 \| good	0.345 \| good	15.939 \| good	0.229 \| good
2025-10-20T14:00:00.000Z	27 \| good	2.974 \| good	13.43 \| good	28.514 \| good	0.242 \| good	10.731 \| good	0.254 \| good
2025-10-20T15:00:00.000Z	25 \| good	1.431 \| good	9.824 \| good	27.366 \| good	0.225 \| good	9.356 \| good	0.228 \| good
2025-10-20T16:00:00.000Z	23 \| good	1.889 \| good	8.087 \| good	24.839 \| good	0.781 \| good	8.601 \| good	0.187 \| good
2025-10-20T17:00:00.000Z	22 \| good	2.611 \| good	9.12 \| good	23.708 \| good	0.595 \| good	7.616 \| good	0.187 \| good
2025-10-20T18:00:00.000Z	20 \| good	2.307 \| good	11.854 \| good	22.074 \| good	1.006 \| good	7.435 \| good	0.187 \| good
2025-10-20T19:00:00.000Z	20 \| good	1.714 \| good	12.563 \| good	21.972 \| good	0.179 \| good	5.534 \| good	0.16 \| good
2025-10-20T20:00:00.000Z	21 \| good	1.599 \| good	9.815 \| good	23.084 \| good	0.29 \| good	4.69 \| good	0.14 \| good
2025-10-20T21:00:00.000Z	22 \| good	2.815 \| good	12.382 \| good	23.831 \| good	0.204 \| good	5.522 \| good	0.176 \| good
2025-10-20T22:00:00.000Z	19 \| good	3.014 \| good	13.776 \| good	21.386 \| good	0.476 \| good	6.501 \| good	0.14 \| good
2025-10-20T23:00:00.000Z	24 \| good	2.327 \| good	7.677 \| good	25.878 \| good	0.185 \| good	8.148 \| good	0.113 \| good
2025-10-21T00:00:00.000Z	23 \| good	1.785 \| good	9.656 \| good	24.856 \| good	0.201 \| good	8.242 \| good	0.16 \| good
2025-10-21T01:00:00.000Z	20 \| good	3.454 \| good	11.057 \| good	21.963 \| good	0.239 \| good	7.925 \| good	0.16 \| good
2025-10-21T02:00:00.000Z	23 \| good	3.327 \| good	11.683 \| good	25.497 \| good	0.24 \| good	10.017 \| good	0.16 \| good
2025-10-21T03:00:00.000Z	19 \| good	3.443 \| good	15.051 \| good	20.613 \| good	1.597 \| good	12.15 \| good	0.151 \| good
2025-10-21T04:00:00.000Z	22 \| good	3.519 \| good	7.057 \| good	23.397 \| good	0.24 \| good	12.557 \| good	0.133 \| good
2025-10-21T05:00:00.000Z	27 \| good	4.747 \| good	17.883 \| good	18.745 \| good	0.24 \| good	12.419 \| good	0.133 \| good
2025-10-21T05:00:00.000Z	22 \| good	3.519 \| good	7.057 \| good	23.397 \| good	0.24 \| good	12.557 \| good	0.133 \| good
2025-10-21T06:00:00.000Z	22 \| good	3.773 \| good	16.268 \| good	22.699 \| good	1.522 \| good	8.499 \| good	0.141 \| good
2025-10-21T07:00:00.000Z	22 \| good	3.93 \| good	17.139 \| good	22.726 \| good	1.602 \| good	8.433 \| good	0.138 \| good
2025-10-21T08:00:00.000Z	22 \| good	4.441 \| good	19.451 \| good	19.521 \| good	1.682 \| good	8.366 \| good	0.136 \| good
2025-10-21T09:00:00.000Z	27 \| good	4.587 \| good	19.79 \| good	12.978 \| good	1.761 \| good	8.3 \| good	0.133 \| good
2025-10-21T10:00:00.000Z	27 \| good	5.262 \| good	23.137 \| good	6.816 \| good	2.037 \| good	10.171 \| good	0.147 \| good
2025-10-21T11:00:00.000Z	33 \| good	6.296 \| good	28.164 \| good	4.852 \| good	2.313 \| good	12.042 \| good	0.16 \| good
2025-10-21T12:00:00.000Z	38 \| good	7.266 \| good	31.825 \| good	9.491 \| good	2.589 \| good	13.914 \| good	0.174 \| good
2025-10-21T13:00:00.000Z	44 \| good	7.591 \| good	33.273 \| good	18.036 \| good	3.066 \| good	12.776 \| good	0.174 \| good
2025-10-21T14:00:00.000Z	44 \| good	7.971 \| good	35.127 \| good	24.74 \| good	3.543 \| good	11.639 \| good	0.174 \| good
2025-10-21T15:00:00.000Z	49 \| good	8.788 \| good	38.643 \| good	29.412 \| good	4.02 \| good	10.501 \| good	0.175 \| good
2025-10-21T16:00:00.000Z	44 \| good	8.352 \| good	36.55 \| good	35.722 \| good	3.674 \| good	8.834 \| good	0.163 \| good
2025-10-21T17:00:00.000Z	44 \| good	8.027 \| good	35.108 \| good	39.97 \| good	3.328 \| good	7.167 \| good	0.151 \| good
2025-10-21T18:00:00.000Z	44 \| good	7.691 \| good	34 \| good	43.164 \| good	2.983 \| good	5.499 \| good	0.139 \| good
2025-10-21T19:00:00.000Z	40 \| good	6.891 \| good	30.453 \| good	42.991 \| good	2.593 \| good	5.408 \| good	0.14 \| good
2025-10-21T20:00:00.000Z	40 \| good	7.183 \| good	31.974 \| good	42.984 \| good	2.203 \| good	5.316 \| good	0.141 \| good
2025-10-21T21:00:00.000Z	44 \| good	7.978 \| good	35.16 \| good	42.838 \| good	1.813 \| good	5.225 \| good	0.142 \| good
2025-10-21T22:00:00.000Z	44 \| good	8.268 \| good	36.147 \| good	44.007 \| good	1.663 \| good	6.108 \| good	0.145 \| good
2025-10-21T23:00:00.000Z	49 \| good	9.176 \| good	41.13 \| good	45.076 \| good	1.514 \| good	6.991 \| good	0.148 \| good
2025-10-22T00:00:00.000Z	49 \| good	8.951 \| good	39.494 \| good	40.949 \| good	1.364 \| good	7.875 \| good	0.151 \| good
2025-10-22T01:00:00.000Z	44 \| good	7.985 \| good	35.06 \| good	38.303 \| good	1.333 \| good	7.737 \| good	0.147 \| good
2025-10-22T02:00:00.000Z	44 \| good	7.698 \| good	33.956 \| good	36.06 \| good	1.303 \| good	7.599 \| good	0.144 \| good
2025-10-22T03:00:00.000Z	38 \| good	7.165 \| good	31.993 \| good	35.261 \| good	1.272 \| good	7.462 \| good	0.141 \| good
2025-10-22T04:00:00.000Z	38 \| good	7.297 \| good	32.099 \| good	37.739 \| good	1.292 \| good	6.923 \| good	0.14 \| good
2025-10-22T05:00:00.000Z	38 \| good	7.428 \| good	32.791 \| good	36.66 \| good	1.312 \| good	6.384 \| good	0.14 \| good
2025-10-22T06:00:00.000Z	38 \| good	7.163 \| good	31.747 \| good	38.239 \| good	1.332 \| good	5.844 \| good	0.139 \| good
2025-10-22T07:00:00.000Z	38 \| good	6.56 \| good	29.188 \| good	37.423 \| good	1.566 \| good	7.658 \| good	0.144 \| good
2025-10-22T08:00:00.000Z	34 \| good	6.295 \| good	27.904 \| good	36.937 \| good	1.8 \| good	9.471 \| good	0.149 \| good
2025-10-22T09:00:00.000Z	33 \| good	5.983 \| good	26.66 \| good	35.142 \| good	2.033 \| good	11.284 \| good	0.153 \| good
2025-10-22T10:00:00.000Z	33 \| good	6.367 \| good	28.253 \| good	29.097 \| good	2.333 \| good	13.879 \| good	0.176 \| good
2025-10-22T11:00:00.000Z	38 \| good	7.225 \| good	31.706 \| good	22.247 \| good	2.632 \| good	16.473 \| good	0.199 \| good
2025-10-22T12:00:00.000Z	44 \| good	8.18 \| good	36.013 \| good	22.966 \| good	2.931 \| good	19.067 \| good	0.222 \| good
2025-10-22T13:00:00.000Z	44 \| good	8.027 \| good	35.2 \| good	27.147 \| good	3.616 \| good	16.325 \| good	0.218 \| good
2025-10-22T14:00:00.000Z	38 \| good	6.792 \| good	30.084 \| good	32.128 \| good	4.301 \| good	13.582 \| good	0.214 \| good
2025-10-22T15:00:00.000Z	33 \| good	4.999 \| good	21.717 \| good	35.548 \| good	4.987 \| good	10.839 \| good	0.21 \| good
2025-10-22T16:00:00.000Z	34 \| good	5.154 \| good	22.16 \| good	37.296 \| good	4.129 \| good	8.511 \| good	0.188 \| good
2025-10-22T17:00:00.000Z	36 \| good	5.618 \| good	24.242 \| good	39.067 \| good	3.27 \| good	6.184 \| good	0.165 \| good
2025-10-22T18:00:00.000Z	37 \| good	6.211 \| good	27.326 \| good	40.328 \| good	2.412 \| good	3.856 \| good	0.142 \| good
2025-10-22T19:00:00.000Z	38 \| good	6.832 \| good	30.312 \| good	40.801 \| good	2.226 \| good	4.153 \| good	0.142 \| good
2025-10-22T20:00:00.000Z	38 \| good	7.168 \| good	31.791 \| good	39.286 \| good	2.039 \| good	4.45 \| good	0.142 \| good
2025-10-22T21:00:00.000Z	38 \| good	6.806 \| good	30.099 \| good	32.485 \| good	1.853 \| good	4.748 \| good	0.142 \| good
2025-10-22T22:00:00.000Z	33 \| good	6.333 \| good	28.242 \| good	27.677 \| good	1.944 \| good	6.815 \| good	0.15 \| good
2025-10-22T23:00:00.000Z	38 \| good	6.936 \| good	30.545 \| good	24.089 \| good	2.036 \| good	8.883 \| good	0.157 \| good
2025-10-23T00:00:00.000Z	33 \| good	5.697 \| good	5.736 \| good	24.863 \| good	2.148 \| good	11.118 \| good	0.166 \| good
2025-10-23T01:00:00.000Z	33 \| good	6 \| good	26.714 \| good	23.368 \| good	2.235 \| good	12.978 \| good	0.171 \| good
2025-10-23T02:00:00.000Z	33 \| good	5.901 \| good	25.564 \| good	21.325 \| good	2.343 \| good	15.005 \| good	0.176 \| good
2025-10-23T03:00:00.000Z	33 \| good	5.791 \| good	25.458 \| good	19.247 \| good	2.451 \| good	17.032 \| good	0.182 \| good
2025-10-23T04:00:00.000Z	33 \| good	5.697 \| good	24.61 \| good	19.319 \| good	2.464 \| good	14.951 \| good	0.176 \| good
2025-10-23T05:00:00.000Z	33 \| good	5.597 \| good	24.538 \| good	18.145 \| good	2.477 \| good	12.87 \| good	0.17 \| 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?