What is the PM10 level in Greenbelt, Maryland at the moment?

The PM10 concentration in Greenbelt, Maryland is 16.258 μg/m3 at the moment.

What is the sulfur dioxide (SO2) level in Greenbelt, Maryland at the moment?

Currently, Greenbelt, Maryland has a sulfur dioxide (SO2) concentration of 0.244 ppb.

What is the ozone (O3) level in Greenbelt, Maryland at the moment?

The current ozone (O3) level in Greenbelt, Maryland at the moment is 35.722 ppm.

What is the nitrogen dioxide (NO2) level in Greenbelt, Maryland at the moment?

Nitrogen dioxide (NO2) level in Greenbelt, Maryland at the moment is 2.655 ppb.

Live air quality index in Greenbelt, Maryland today

Q: What is the PM2.5 level in Greenbelt, Maryland at the moment?

PM2.5 levels in Greenbelt, Maryland are currently 3.708 μg/m3.

Stay updated with real-time air quality in Greenbelt, Maryland 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

Greenbelt, Maryland

Last updated: ... (Local time)

Major air pollutants in Greenbelt, Maryland

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

3.71 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

16.23 μg/m³

155

255

425

605+

Ozone (O₃)

23.67 ppb

201

201+

Sulfur Dioxide (SO₂)

0.55 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

5.77 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.14 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Greenbelt, Maryland

Get Live Pollen Counts

Greenbelt, Maryland

Scroll To Air Quality Map

Track live Greenbelt, Maryland air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-10-04T04:00:00.000Z	44 \| good	7.697 \| good	34.712 \| good	16.631 \| good	0.353 \| good	8.938 \| good	0.299 \| good
2026-10-04T05:00:00.000Z	38 \| good	6.948 \| good	30.299 \| good	14.87 \| good	0.409 \| good	10.01 \| good	0.422 \| good
2026-10-04T06:00:00.000Z	38 \| good	6.721 \| good	30.599 \| good	14.626 \| good	0.3 \| good	9.117 \| good	0.292 \| good
2026-10-04T07:00:00.000Z	38 \| good	6.953 \| good	29.028 \| good	15.685 \| good	0.352 \| good	6.46 \| good	0.292 \| good
2026-10-04T08:00:00.000Z	27 \| good	5.032 \| good	22.545 \| good	15.962 \| good	0.359 \| good	4.534 \| good	0.229 \| good
2026-10-04T09:00:00.000Z	19 \| good	1.9 \| good	7.877 \| good	20.756 \| good	0.334 \| good	3.625 \| good	0.223 \| good
2026-10-04T10:00:00.000Z	19 \| good	2.103 \| good	9.293 \| good	19.606 \| good	0.353 \| good	3.696 \| good	0.197 \| good
2026-10-04T11:00:00.000Z	19 \| good	1.89 \| good	8.082 \| good	20.921 \| good	0.337 \| good	3.388 \| good	0.195 \| good
2026-10-04T12:00:00.000Z	21 \| good	1.515 \| good	6.218 \| good	23.304 \| good	0.311 \| good	3.359 \| good	0.197 \| good
2026-10-04T13:00:00.000Z	17 \| good	1.313 \| good	5.157 \| good	17.55 \| good	0.54 \| good	5.603 \| good	0.154 \| good
2026-10-04T14:00:00.000Z	22 \| good	1.164 \| good	4.703 \| good	24.433 \| good	0.321 \| good	5.543 \| good	0.203 \| good
2026-10-04T15:00:00.000Z	23 \| good	2.081 \| good	8.36 \| good	24.77 \| good	0.33 \| good	5.164 \| good	0.292 \| good
2026-10-04T16:00:00.000Z	22 \| good	2.183 \| good	9.272 \| good	24.423 \| good	0.346 \| good	4.008 \| good	0.225 \| good
2026-10-04T17:00:00.000Z	21 \| good	3.072 \| good	12.27 \| good	23.375 \| good	0.402 \| good	3.796 \| good	0.231 \| good
2026-10-04T18:00:00.000Z	21 \| good	2.566 \| good	11.813 \| good	22.53 \| good	0.393 \| good	3.64 \| good	0.292 \| good
2026-10-04T19:00:00.000Z	20 \| good	2.404 \| good	10.006 \| good	21.532 \| good	0.385 \| good	4.39 \| good	0.292 \| good
2026-10-04T20:00:00.000Z	19 \| good	1.929 \| good	9.557 \| good	20.457 \| good	0.411 \| good	3.808 \| good	0.231 \| good
2026-10-04T21:00:00.000Z	18 \| good	2.418 \| good	10.691 \| good	18.937 \| good	0.404 \| good	3.262 \| good	0.231 \| good
2026-10-04T22:00:00.000Z	17 \| good	1.803 \| good	6.953 \| good	18.375 \| good	0.416 \| good	3.324 \| good	0.231 \| good
2026-10-04T23:00:00.000Z	17 \| good	3.147 \| good	13.338 \| good	17.821 \| good	0.472 \| good	4.045 \| good	0.231 \| good
2026-10-05T00:00:00.000Z	18 \| good	2.226 \| good	10.55 \| good	19.077 \| good	0.422 \| good	4.581 \| good	0.233 \| good
2026-10-05T01:00:00.000Z	17 \| good	2.164 \| good	9.187 \| good	18.25 \| good	0.416 \| good	5.011 \| good	0.233 \| good
2026-10-05T02:00:00.000Z	15 \| good	2.37 \| good	10.513 \| good	16.043 \| good	0.424 \| good	6.619 \| good	0.292 \| good
2026-10-05T03:00:00.000Z	33 \| good	5.577 \| good	23.769 \| good	2.372 \| good	1.07 \| good	17.454 \| good	0.235 \| good
2026-10-05T04:00:00.000Z	16 \| good	1.581 \| good	7.254 \| good	17.418 \| good	0.425 \| good	6.195 \| good	0.231 \| good
2026-10-05T05:00:00.000Z	15 \| good	2.183 \| good	9.542 \| good	15.966 \| good	0.38 \| good	7.272 \| good	0.234 \| good
2026-10-05T06:00:00.000Z	16 \| good	3.111 \| good	13.559 \| good	14.769 \| good	0.383 \| good	7.713 \| good	0.231 \| good
2026-10-05T07:00:00.000Z	16 \| good	3.359 \| good	14.453 \| good	13.583 \| good	0.375 \| good	9.699 \| good	0.505 \| good
2026-10-05T08:00:00.000Z	22 \| good	3.982 \| good	17.121 \| good	8.012 \| good	0.365 \| good	8.923 \| good	0.382 \| good
2026-10-05T09:00:00.000Z	22 \| good	3.706 \| good	15.365 \| good	10.826 \| good	0.419 \| good	8.113 \| good	0.292 \| good
2026-10-05T10:00:00.000Z	11 \| good	2.304 \| good	9.445 \| good	11.328 \| good	0.434 \| good	4.544 \| good	0.225 \| good
2026-10-05T11:00:00.000Z	11 \| good	1.613 \| good	7.618 \| good	11.903 \| good	0.424 \| good	3.763 \| good	0.225 \| good
2026-10-05T12:00:00.000Z	11 \| good	1.929 \| good	6.898 \| good	12.411 \| good	0.368 \| good	4.619 \| good	0.231 \| good
2026-10-05T13:00:00.000Z	12 \| good	2.088 \| good	8.431 \| good	12.645 \| good	0.386 \| good	7.552 \| good	0.231 \| good
2026-10-05T14:00:00.000Z	14 \| good	1.561 \| good	6.743 \| good	14.527 \| good	0.389 \| good	6.55 \| good	0.231 \| good
2026-10-05T15:00:00.000Z	13 \| good	2.017 \| good	8.38 \| good	13.883 \| good	0.307 \| good	7.311 \| good	0.292 \| good
2026-10-05T16:00:00.000Z	19 \| good	3.248 \| good	15.45 \| good	19.788 \| good	0.349 \| good	6.536 \| good	0.292 \| good
2026-10-05T17:00:00.000Z	23 \| good	3.813 \| good	17.83 \| good	25.352 \| good	0.43 \| good	5.114 \| good	0.201 \| good
2026-10-05T18:00:00.000Z	28 \| good	4.045 \| good	17.734 \| good	30.158 \| good	0.37 \| good	2.793 \| good	0.195 \| good
2026-10-05T19:00:00.000Z	31 \| good	5.39 \| good	23.827 \| good	33.806 \| good	0.37 \| good	2.554 \| good	0.195 \| good
2026-10-05T20:00:00.000Z	34 \| good	4.327 \| good	19.399 \| good	37.288 \| good	0.228 \| good	1.992 \| good	0.195 \| good
2026-10-05T21:00:00.000Z	36 \| good	4.846 \| good	20.91 \| good	39.382 \| good	0.297 \| good	1.758 \| good	0.195 \| good
2026-10-05T22:00:00.000Z	37 \| good	4.835 \| good	21.682 \| good	40.344 \| good	0.299 \| good	1.865 \| good	0.195 \| good
2026-10-05T23:00:00.000Z	37 \| good	4.032 \| good	17.525 \| good	39.812 \| good	0.352 \| good	2.196 \| good	0.195 \| good
2026-10-06T00:00:00.000Z	35 \| good	3.414 \| good	14.749 \| good	38.228 \| good	0.401 \| good	2.997 \| good	0.198 \| good
2026-10-06T01:00:00.000Z	31 \| good	2.033 \| good	8.67 \| good	33.681 \| good	0.421 \| good	5.778 \| good	0.2 \| good
2026-10-06T02:00:00.000Z	33 \| good	3.338 \| good	14.738 \| good	35.784 \| good	0.504 \| good	6.105 \| good	0.197 \| good
2026-10-06T03:00:00.000Z	22 \| good	3.707 \| good	16.228 \| good	23.667 \| good	0.548 \| good	5.766 \| good	0.137 \| good
2026-10-06T00:00:00.000Z	21 \| good	0.793 \| good	3.169 \| good	22.697 \| good	0.655 \| good	7.445 \| good	0.188 \| good
2026-10-06T01:00:00.000Z	22 \| good	0.535 \| good	1.832 \| good	24.357 \| good	0.678 \| good	7.964 \| good	0.188 \| good
2026-10-06T02:00:00.000Z	20 \| good	0.827 \| good	3.357 \| good	21.854 \| good	0.664 \| good	6.995 \| good	0.176 \| good
2026-10-06T03:00:00.000Z	18 \| good	0.554 \| good	2.101 \| good	18.994 \| good	0.63 \| good	6.038 \| good	0.165 \| good
2026-10-06T04:00:00.000Z	16 \| good	0.301 \| good	1.206 \| good	16.983 \| good	0.591 \| good	5.3 \| good	0.158 \| good
2026-10-06T05:00:00.000Z	16 \| good	0.531 \| good	2.172 \| good	16.577 \| good	0.551 \| good	4.412 \| good	0.152 \| good
2026-10-06T06:00:00.000Z	18 \| good	0.516 \| good	2.18 \| good	18.659 \| good	0.524 \| good	3.904 \| good	0.146 \| good
2026-10-06T07:00:00.000Z	15 \| good	0.303 \| good	1.24 \| good	16.452 \| good	0.502 \| good	3.707 \| good	0.143 \| good
2026-10-06T08:00:00.000Z	16 \| good	0.38 \| good	1.376 \| good	17.301 \| good	0.49 \| good	3.701 \| good	0.141 \| good
2026-10-06T09:00:00.000Z	11 \| good	2.088 \| good	8.258 \| good	6.692 \| good	0.487 \| good	3.778 \| good	0.141 \| good
2026-10-06T10:00:00.000Z	16 \| good	2.612 \| good	10.8 \| good	4.598 \| good	0.494 \| good	4.02 \| good	0.142 \| good
2026-10-06T11:00:00.000Z	16 \| good	3.242 \| good	13.845 \| good	3.937 \| good	0.513 \| good	4.765 \| good	0.147 \| good
2026-10-06T12:00:00.000Z	16 \| good	2.893 \| good	12.28 \| good	11.999 \| good	0.55 \| good	6.335 \| good	0.167 \| good
2026-10-06T13:00:00.000Z	16 \| good	2.719 \| good	11.255 \| good	17.181 \| good	0.624 \| good	5.178 \| good	0.176 \| good
2026-10-06T14:00:00.000Z	21 \| good	2.081 \| good	8.509 \| good	22.976 \| good	0.74 \| good	3.115 \| good	0.158 \| good
2026-10-06T15:00:00.000Z	24 \| good	1.627 \| good	6.468 \| good	25.782 \| good	0.786 \| good	2.335 \| good	0.151 \| good
2026-10-06T16:00:00.000Z	27 \| good	1.674 \| good	6.812 \| good	28.573 \| good	0.812 \| good	1.977 \| good	0.149 \| good
2026-10-06T17:00:00.000Z	30 \| good	1.287 \| good	5.193 \| good	32.392 \| good	0.827 \| good	1.731 \| good	0.148 \| good
2026-10-06T18:00:00.000Z	33 \| good	2.575 \| good	10.643 \| good	35.761 \| good	0.833 \| good	1.604 \| good	0.148 \| good
2026-10-06T19:00:00.000Z	36 \| good	3.553 \| good	15.374 \| good	39.136 \| good	0.838 \| good	1.601 \| good	0.149 \| good
2026-10-06T20:00:00.000Z	36 \| good	2.886 \| good	11.77 \| good	39.364 \| good	0.846 \| good	1.714 \| good	0.15 \| good
2026-10-06T21:00:00.000Z	35 \| good	3.25 \| good	14.369 \| good	38.459 \| good	0.856 \| good	2.101 \| good	0.153 \| good
2026-10-06T22:00:00.000Z	27 \| good	5.435 \| good	23.671 \| good	27.11 \| good	0.835 \| good	5.098 \| good	0.18 \| good
2026-10-06T23:00:00.000Z	44 \| good	7.94 \| good	35.123 \| good	14.361 \| good	0.932 \| good	20.58 \| good	0.321 \| good
2026-10-07T00:00:00.000Z	44 \| good	8.422 \| good	37.628 \| good	11.299 \| good	1.045 \| good	27.618 \| good	0.418 \| good
2026-10-07T01:00:00.000Z	49 \| good	8.82 \| good	39.322 \| good	11.942 \| good	1.119 \| good	28.952 \| good	0.46 \| good
2026-10-07T02:00:00.000Z	54 \| moderate	10.584 \| good	46.608 \| good	11.986 \| good	1.173 \| good	29.556 \| good	0.466 \| good
2026-10-07T03:00:00.000Z	52 \| moderate	9.949 \| good	43.728 \| good	12.73 \| good	1.229 \| good	30.143 \| good	0.47 \| good
2026-10-07T04:00:00.000Z	49 \| good	9.298 \| good	41.232 \| good	15.154 \| good	1.242 \| good	30.255 \| good	0.478 \| good
2026-10-07T05:00:00.000Z	44 \| good	8.404 \| good	36.644 \| good	11.635 \| good	1.19 \| good	29.652 \| good	0.469 \| good
2026-10-07T06:00:00.000Z	38 \| good	6.595 \| good	29.28 \| good	10.993 \| good	1.123 \| good	28.741 \| good	0.435 \| good
2026-10-07T07:00:00.000Z	27 \| good	4.999 \| good	21.514 \| good	12.286 \| good	1.069 \| good	27.311 \| good	0.39 \| good
2026-10-07T08:00:00.000Z	24 \| good	3.659 \| good	16.166 \| good	11.654 \| good	1.019 \| good	24.602 \| good	0.345 \| good
2026-10-07T09:00:00.000Z	22 \| good	4.087 \| good	17.677 \| good	13.641 \| good	0.968 \| good	20.336 \| good	0.303 \| good
2026-10-07T10:00:00.000Z	16 \| good	3.496 \| good	15.18 \| good	15.696 \| good	0.921 \| good	16.219 \| good	0.269 \| good
2026-10-07T11:00:00.000Z	27 \| good	4.924 \| good	21.296 \| good	14.558 \| good	0.886 \| good	13.321 \| good	0.245 \| good
2026-10-07T12:00:00.000Z	22 \| good	3.977 \| good	17.105 \| good	19.258 \| good	0.873 \| good	11.737 \| good	0.245 \| good
2026-10-07T13:00:00.000Z	24 \| good	4.129 \| good	18.039 \| good	25.817 \| good	0.884 \| good	10.14 \| good	0.263 \| good
2026-10-07T14:00:00.000Z	27 \| good	4.785 \| good	20.978 \| good	28.435 \| good	1 \| good	6.808 \| good	0.222 \| good
2026-10-07T15:00:00.000Z	33 \| good	6.009 \| good	26.454 \| good	32.029 \| good	0.993 \| good	3.8 \| good	0.184 \| good
2026-10-07T16:00:00.000Z	36 \| good	5.75 \| good	24.812 \| good	38.764 \| good	0.897 \| good	2.482 \| good	0.171 \| good
2026-10-07T17:00:00.000Z	42 \| good	5.858 \| good	25.361 \| good	45.202 \| good	0.852 \| good	1.811 \| good	0.167 \| good
2026-10-07T18:00:00.000Z	44 \| good	6.331 \| good	28.124 \| good	47.819 \| good	0.824 \| good	1.48 \| good	0.166 \| good
2026-10-07T19:00:00.000Z	45 \| good	5.23 \| good	22.695 \| good	48.988 \| good	0.806 \| good	1.395 \| good	0.167 \| good
2026-10-07T20:00:00.000Z	41 \| good	4.225 \| good	18.448 \| good	44.353 \| good	0.798 \| good	1.488 \| good	0.168 \| good
2026-10-07T21:00:00.000Z	35 \| good	4.709 \| good	20.582 \| good	37.942 \| good	0.793 \| good	1.876 \| good	0.171 \| good
2026-10-07T22:00:00.000Z	33 \| good	5.516 \| good	23.574 \| good	29.944 \| good	0.784 \| good	4.245 \| good	0.192 \| good
2026-10-07T23:00:00.000Z	33 \| good	6.192 \| good	27.333 \| good	26.032 \| good	0.803 \| good	8.649 \| good	0.23 \| good

Greenbelt

Get reliable air quality data to drive your business

Greenbelt, Maryland air quality map: Stay updated on AQI near you

0.18ppm

How accurate is Maryland, USA air quality data?

Air quality and pollutant data for Maryland, USA are sourced from ground-based monitors and satellites, adhering to US EPA standards. Machine learning and advanced algorithms enhance the data by incorporating local variables like traffic and population density, ensuring high accuracy and dependability.

Source: Ambee Data Sources

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Frequently asked questions

How often is air quality information updated for Greenbelt, Maryland?

The air quality information for Greenbelt, Maryland is updated every hour for accuracy.

What time in the last 24 hours was the air quality in Greenbelt, Maryland at its worst?

In the past 24 hours, the air quality in Greenbelt, Maryland was at its worst at 09:00:00 on 2026-10-05.

When did Greenbelt, Maryland experience the best air quality in the last 24 hours?

In the last 24 hours, the best air quality in Greenbelt, Maryland was observed at 09:00:00 on 2026-10-05.

What is the AQI in Greenbelt, Maryland right now?

As of now, the AQI in Greenbelt, Maryland is 33, indicating Good conditions.

What is the most common type of pollution in Greenbelt, Maryland?

Greenbelt, Maryland air has the highest levels of O3.

What should I do in case of poor air quality in Greenbelt, Maryland?

Poor air quality in Greenbelt, Maryland means it's advisable to stay indoors and wear a mask for your protection.

What is the PM_2.5 level in Greenbelt, Maryland at the moment?

PM_2.5 levels in Greenbelt, Maryland are currently 3.708 μg/m³.

What is the PM₁₀ level in Greenbelt, Maryland at the moment?

The PM₁₀ concentration in Greenbelt, Maryland is 16.258 μg/m³ at the moment.

What is the carbon monoxide (CO) level in Greenbelt, Maryland at the moment?

The current carbon monoxide (CO) concentration in Greenbelt, Maryland is 0.124 ppm.

What is the sulfur dioxide (SO₂) level in Greenbelt, Maryland at the moment?

Currently, Greenbelt, Maryland has a sulfur dioxide (SO₂) concentration of 0.244 ppb.

What is the ozone (O₃) level in Greenbelt, Maryland at the moment?

The current ozone (O₃) level in Greenbelt, Maryland at the moment is 35.722 ppm.

What is the nitrogen dioxide (NO₂) level in Greenbelt, Maryland at the moment?

Nitrogen dioxide (NO₂) level in Greenbelt, Maryland at the moment is 2.655 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-10-04T04:00:00.000Z	44 \| good	7.697 \| good	34.712 \| good	16.631 \| good	0.353 \| good	8.938 \| good	0.299 \| good
2026-10-04T05:00:00.000Z	38 \| good	6.948 \| good	30.299 \| good	14.87 \| good	0.409 \| good	10.01 \| good	0.422 \| good
2026-10-04T06:00:00.000Z	38 \| good	6.721 \| good	30.599 \| good	14.626 \| good	0.3 \| good	9.117 \| good	0.292 \| good
2026-10-04T07:00:00.000Z	38 \| good	6.953 \| good	29.028 \| good	15.685 \| good	0.352 \| good	6.46 \| good	0.292 \| good
2026-10-04T08:00:00.000Z	27 \| good	5.032 \| good	22.545 \| good	15.962 \| good	0.359 \| good	4.534 \| good	0.229 \| good
2026-10-04T09:00:00.000Z	19 \| good	1.9 \| good	7.877 \| good	20.756 \| good	0.334 \| good	3.625 \| good	0.223 \| good
2026-10-04T10:00:00.000Z	19 \| good	2.103 \| good	9.293 \| good	19.606 \| good	0.353 \| good	3.696 \| good	0.197 \| good
2026-10-04T11:00:00.000Z	19 \| good	1.89 \| good	8.082 \| good	20.921 \| good	0.337 \| good	3.388 \| good	0.195 \| good
2026-10-04T12:00:00.000Z	21 \| good	1.515 \| good	6.218 \| good	23.304 \| good	0.311 \| good	3.359 \| good	0.197 \| good
2026-10-04T13:00:00.000Z	17 \| good	1.313 \| good	5.157 \| good	17.55 \| good	0.54 \| good	5.603 \| good	0.154 \| good
2026-10-04T14:00:00.000Z	22 \| good	1.164 \| good	4.703 \| good	24.433 \| good	0.321 \| good	5.543 \| good	0.203 \| good
2026-10-04T15:00:00.000Z	23 \| good	2.081 \| good	8.36 \| good	24.77 \| good	0.33 \| good	5.164 \| good	0.292 \| good
2026-10-04T16:00:00.000Z	22 \| good	2.183 \| good	9.272 \| good	24.423 \| good	0.346 \| good	4.008 \| good	0.225 \| good
2026-10-04T17:00:00.000Z	21 \| good	3.072 \| good	12.27 \| good	23.375 \| good	0.402 \| good	3.796 \| good	0.231 \| good
2026-10-04T18:00:00.000Z	21 \| good	2.566 \| good	11.813 \| good	22.53 \| good	0.393 \| good	3.64 \| good	0.292 \| good
2026-10-04T19:00:00.000Z	20 \| good	2.404 \| good	10.006 \| good	21.532 \| good	0.385 \| good	4.39 \| good	0.292 \| good
2026-10-04T20:00:00.000Z	19 \| good	1.929 \| good	9.557 \| good	20.457 \| good	0.411 \| good	3.808 \| good	0.231 \| good
2026-10-04T21:00:00.000Z	18 \| good	2.418 \| good	10.691 \| good	18.937 \| good	0.404 \| good	3.262 \| good	0.231 \| good
2026-10-04T22:00:00.000Z	17 \| good	1.803 \| good	6.953 \| good	18.375 \| good	0.416 \| good	3.324 \| good	0.231 \| good
2026-10-04T23:00:00.000Z	17 \| good	3.147 \| good	13.338 \| good	17.821 \| good	0.472 \| good	4.045 \| good	0.231 \| good
2026-10-05T00:00:00.000Z	18 \| good	2.226 \| good	10.55 \| good	19.077 \| good	0.422 \| good	4.581 \| good	0.233 \| good
2026-10-05T01:00:00.000Z	17 \| good	2.164 \| good	9.187 \| good	18.25 \| good	0.416 \| good	5.011 \| good	0.233 \| good
2026-10-05T02:00:00.000Z	15 \| good	2.37 \| good	10.513 \| good	16.043 \| good	0.424 \| good	6.619 \| good	0.292 \| good
2026-10-05T03:00:00.000Z	33 \| good	5.577 \| good	23.769 \| good	2.372 \| good	1.07 \| good	17.454 \| good	0.235 \| good
2026-10-05T04:00:00.000Z	16 \| good	1.581 \| good	7.254 \| good	17.418 \| good	0.425 \| good	6.195 \| good	0.231 \| good
2026-10-05T05:00:00.000Z	15 \| good	2.183 \| good	9.542 \| good	15.966 \| good	0.38 \| good	7.272 \| good	0.234 \| good
2026-10-05T06:00:00.000Z	16 \| good	3.111 \| good	13.559 \| good	14.769 \| good	0.383 \| good	7.713 \| good	0.231 \| good
2026-10-05T07:00:00.000Z	16 \| good	3.359 \| good	14.453 \| good	13.583 \| good	0.375 \| good	9.699 \| good	0.505 \| good
2026-10-05T08:00:00.000Z	22 \| good	3.982 \| good	17.121 \| good	8.012 \| good	0.365 \| good	8.923 \| good	0.382 \| good
2026-10-05T09:00:00.000Z	22 \| good	3.706 \| good	15.365 \| good	10.826 \| good	0.419 \| good	8.113 \| good	0.292 \| good
2026-10-05T10:00:00.000Z	11 \| good	2.304 \| good	9.445 \| good	11.328 \| good	0.434 \| good	4.544 \| good	0.225 \| good
2026-10-05T11:00:00.000Z	11 \| good	1.613 \| good	7.618 \| good	11.903 \| good	0.424 \| good	3.763 \| good	0.225 \| good
2026-10-05T12:00:00.000Z	11 \| good	1.929 \| good	6.898 \| good	12.411 \| good	0.368 \| good	4.619 \| good	0.231 \| good
2026-10-05T13:00:00.000Z	12 \| good	2.088 \| good	8.431 \| good	12.645 \| good	0.386 \| good	7.552 \| good	0.231 \| good
2026-10-05T14:00:00.000Z	14 \| good	1.561 \| good	6.743 \| good	14.527 \| good	0.389 \| good	6.55 \| good	0.231 \| good
2026-10-05T15:00:00.000Z	13 \| good	2.017 \| good	8.38 \| good	13.883 \| good	0.307 \| good	7.311 \| good	0.292 \| good
2026-10-05T16:00:00.000Z	19 \| good	3.248 \| good	15.45 \| good	19.788 \| good	0.349 \| good	6.536 \| good	0.292 \| good
2026-10-05T17:00:00.000Z	23 \| good	3.813 \| good	17.83 \| good	25.352 \| good	0.43 \| good	5.114 \| good	0.201 \| good
2026-10-05T18:00:00.000Z	28 \| good	4.045 \| good	17.734 \| good	30.158 \| good	0.37 \| good	2.793 \| good	0.195 \| good
2026-10-05T19:00:00.000Z	31 \| good	5.39 \| good	23.827 \| good	33.806 \| good	0.37 \| good	2.554 \| good	0.195 \| good
2026-10-05T20:00:00.000Z	34 \| good	4.327 \| good	19.399 \| good	37.288 \| good	0.228 \| good	1.992 \| good	0.195 \| good
2026-10-05T21:00:00.000Z	36 \| good	4.846 \| good	20.91 \| good	39.382 \| good	0.297 \| good	1.758 \| good	0.195 \| good
2026-10-05T22:00:00.000Z	37 \| good	4.835 \| good	21.682 \| good	40.344 \| good	0.299 \| good	1.865 \| good	0.195 \| good
2026-10-05T23:00:00.000Z	37 \| good	4.032 \| good	17.525 \| good	39.812 \| good	0.352 \| good	2.196 \| good	0.195 \| good
2026-10-06T00:00:00.000Z	35 \| good	3.414 \| good	14.749 \| good	38.228 \| good	0.401 \| good	2.997 \| good	0.198 \| good
2026-10-06T01:00:00.000Z	31 \| good	2.033 \| good	8.67 \| good	33.681 \| good	0.421 \| good	5.778 \| good	0.2 \| good
2026-10-06T02:00:00.000Z	33 \| good	3.338 \| good	14.738 \| good	35.784 \| good	0.504 \| good	6.105 \| good	0.197 \| good
2026-10-06T03:00:00.000Z	22 \| good	3.707 \| good	16.228 \| good	23.667 \| good	0.548 \| good	5.766 \| good	0.137 \| good
2026-10-06T00:00:00.000Z	21 \| good	0.793 \| good	3.169 \| good	22.697 \| good	0.655 \| good	7.445 \| good	0.188 \| good
2026-10-06T01:00:00.000Z	22 \| good	0.535 \| good	1.832 \| good	24.357 \| good	0.678 \| good	7.964 \| good	0.188 \| good
2026-10-06T02:00:00.000Z	20 \| good	0.827 \| good	3.357 \| good	21.854 \| good	0.664 \| good	6.995 \| good	0.176 \| good
2026-10-06T03:00:00.000Z	18 \| good	0.554 \| good	2.101 \| good	18.994 \| good	0.63 \| good	6.038 \| good	0.165 \| good
2026-10-06T04:00:00.000Z	16 \| good	0.301 \| good	1.206 \| good	16.983 \| good	0.591 \| good	5.3 \| good	0.158 \| good
2026-10-06T05:00:00.000Z	16 \| good	0.531 \| good	2.172 \| good	16.577 \| good	0.551 \| good	4.412 \| good	0.152 \| good
2026-10-06T06:00:00.000Z	18 \| good	0.516 \| good	2.18 \| good	18.659 \| good	0.524 \| good	3.904 \| good	0.146 \| good
2026-10-06T07:00:00.000Z	15 \| good	0.303 \| good	1.24 \| good	16.452 \| good	0.502 \| good	3.707 \| good	0.143 \| good
2026-10-06T08:00:00.000Z	16 \| good	0.38 \| good	1.376 \| good	17.301 \| good	0.49 \| good	3.701 \| good	0.141 \| good
2026-10-06T09:00:00.000Z	11 \| good	2.088 \| good	8.258 \| good	6.692 \| good	0.487 \| good	3.778 \| good	0.141 \| good
2026-10-06T10:00:00.000Z	16 \| good	2.612 \| good	10.8 \| good	4.598 \| good	0.494 \| good	4.02 \| good	0.142 \| good
2026-10-06T11:00:00.000Z	16 \| good	3.242 \| good	13.845 \| good	3.937 \| good	0.513 \| good	4.765 \| good	0.147 \| good
2026-10-06T12:00:00.000Z	16 \| good	2.893 \| good	12.28 \| good	11.999 \| good	0.55 \| good	6.335 \| good	0.167 \| good
2026-10-06T13:00:00.000Z	16 \| good	2.719 \| good	11.255 \| good	17.181 \| good	0.624 \| good	5.178 \| good	0.176 \| good
2026-10-06T14:00:00.000Z	21 \| good	2.081 \| good	8.509 \| good	22.976 \| good	0.74 \| good	3.115 \| good	0.158 \| good
2026-10-06T15:00:00.000Z	24 \| good	1.627 \| good	6.468 \| good	25.782 \| good	0.786 \| good	2.335 \| good	0.151 \| good
2026-10-06T16:00:00.000Z	27 \| good	1.674 \| good	6.812 \| good	28.573 \| good	0.812 \| good	1.977 \| good	0.149 \| good
2026-10-06T17:00:00.000Z	30 \| good	1.287 \| good	5.193 \| good	32.392 \| good	0.827 \| good	1.731 \| good	0.148 \| good
2026-10-06T18:00:00.000Z	33 \| good	2.575 \| good	10.643 \| good	35.761 \| good	0.833 \| good	1.604 \| good	0.148 \| good
2026-10-06T19:00:00.000Z	36 \| good	3.553 \| good	15.374 \| good	39.136 \| good	0.838 \| good	1.601 \| good	0.149 \| good
2026-10-06T20:00:00.000Z	36 \| good	2.886 \| good	11.77 \| good	39.364 \| good	0.846 \| good	1.714 \| good	0.15 \| good
2026-10-06T21:00:00.000Z	35 \| good	3.25 \| good	14.369 \| good	38.459 \| good	0.856 \| good	2.101 \| good	0.153 \| good
2026-10-06T22:00:00.000Z	27 \| good	5.435 \| good	23.671 \| good	27.11 \| good	0.835 \| good	5.098 \| good	0.18 \| good
2026-10-06T23:00:00.000Z	44 \| good	7.94 \| good	35.123 \| good	14.361 \| good	0.932 \| good	20.58 \| good	0.321 \| good
2026-10-07T00:00:00.000Z	44 \| good	8.422 \| good	37.628 \| good	11.299 \| good	1.045 \| good	27.618 \| good	0.418 \| good
2026-10-07T01:00:00.000Z	49 \| good	8.82 \| good	39.322 \| good	11.942 \| good	1.119 \| good	28.952 \| good	0.46 \| good
2026-10-07T02:00:00.000Z	54 \| moderate	10.584 \| good	46.608 \| good	11.986 \| good	1.173 \| good	29.556 \| good	0.466 \| good
2026-10-07T03:00:00.000Z	52 \| moderate	9.949 \| good	43.728 \| good	12.73 \| good	1.229 \| good	30.143 \| good	0.47 \| good
2026-10-07T04:00:00.000Z	49 \| good	9.298 \| good	41.232 \| good	15.154 \| good	1.242 \| good	30.255 \| good	0.478 \| good
2026-10-07T05:00:00.000Z	44 \| good	8.404 \| good	36.644 \| good	11.635 \| good	1.19 \| good	29.652 \| good	0.469 \| good
2026-10-07T06:00:00.000Z	38 \| good	6.595 \| good	29.28 \| good	10.993 \| good	1.123 \| good	28.741 \| good	0.435 \| good
2026-10-07T07:00:00.000Z	27 \| good	4.999 \| good	21.514 \| good	12.286 \| good	1.069 \| good	27.311 \| good	0.39 \| good
2026-10-07T08:00:00.000Z	24 \| good	3.659 \| good	16.166 \| good	11.654 \| good	1.019 \| good	24.602 \| good	0.345 \| good
2026-10-07T09:00:00.000Z	22 \| good	4.087 \| good	17.677 \| good	13.641 \| good	0.968 \| good	20.336 \| good	0.303 \| good
2026-10-07T10:00:00.000Z	16 \| good	3.496 \| good	15.18 \| good	15.696 \| good	0.921 \| good	16.219 \| good	0.269 \| good
2026-10-07T11:00:00.000Z	27 \| good	4.924 \| good	21.296 \| good	14.558 \| good	0.886 \| good	13.321 \| good	0.245 \| good
2026-10-07T12:00:00.000Z	22 \| good	3.977 \| good	17.105 \| good	19.258 \| good	0.873 \| good	11.737 \| good	0.245 \| good
2026-10-07T13:00:00.000Z	24 \| good	4.129 \| good	18.039 \| good	25.817 \| good	0.884 \| good	10.14 \| good	0.263 \| good
2026-10-07T14:00:00.000Z	27 \| good	4.785 \| good	20.978 \| good	28.435 \| good	1 \| good	6.808 \| good	0.222 \| good
2026-10-07T15:00:00.000Z	33 \| good	6.009 \| good	26.454 \| good	32.029 \| good	0.993 \| good	3.8 \| good	0.184 \| good
2026-10-07T16:00:00.000Z	36 \| good	5.75 \| good	24.812 \| good	38.764 \| good	0.897 \| good	2.482 \| good	0.171 \| good
2026-10-07T17:00:00.000Z	42 \| good	5.858 \| good	25.361 \| good	45.202 \| good	0.852 \| good	1.811 \| good	0.167 \| good
2026-10-07T18:00:00.000Z	44 \| good	6.331 \| good	28.124 \| good	47.819 \| good	0.824 \| good	1.48 \| good	0.166 \| good
2026-10-07T19:00:00.000Z	45 \| good	5.23 \| good	22.695 \| good	48.988 \| good	0.806 \| good	1.395 \| good	0.167 \| good
2026-10-07T20:00:00.000Z	41 \| good	4.225 \| good	18.448 \| good	44.353 \| good	0.798 \| good	1.488 \| good	0.168 \| good
2026-10-07T21:00:00.000Z	35 \| good	4.709 \| good	20.582 \| good	37.942 \| good	0.793 \| good	1.876 \| good	0.171 \| good
2026-10-07T22:00:00.000Z	33 \| good	5.516 \| good	23.574 \| good	29.944 \| good	0.784 \| good	4.245 \| good	0.192 \| good
2026-10-07T23:00:00.000Z	33 \| good	6.192 \| good	27.333 \| good	26.032 \| good	0.803 \| good	8.649 \| good	0.23 \| good

Live air quality index in Greenbelt, Maryland today

Major air pollutants in Greenbelt, Maryland

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

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Greenbelt, Maryland air quality map: Stay updated on AQI near you

Air quality in nearby cities

Seabrook, Maryland

New Carrollton, Maryland

Beltsville, Maryland

Lanham, Maryland

College Park, Maryland

East Riverdale, Maryland

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Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

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What is the ozone (O₃) level in Greenbelt, Maryland at the moment?

What is the nitrogen dioxide (NO₂) level in Greenbelt, Maryland at the moment?