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

The PM10 concentration in Greenbelt, Maryland is 19.25 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 0.228 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 42.026 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 1.905 ppb.

Live air quality index in Greenbelt, Maryland today

Name: Live air pollution levels in Greenbelt, Maryland today
Creator: Ambee

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)

6.03 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

26.09 μg/m³

155

255

425

605+

Ozone (O₃)

37.67 ppb

201

201+

Sulfur Dioxide (SO₂)

0.25 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

2.09 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.14 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

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
2025-07-26T18:00:00.000Z	39 \| good	3.988 \| good	19.25 \| good	42.026 \| good	0.228 \| good	1.905 \| good	0.142 \| good
2025-07-26T19:00:00.000Z	40 \| good	3.401 \| good	11.556 \| good	42.734 \| good	0.118 \| good	1.794 \| good	0.142 \| good
2025-07-26T20:00:00.000Z	40 \| good	4.041 \| good	19.298 \| good	42.641 \| good	0.129 \| good	1.653 \| good	0.173 \| good
2025-07-26T21:00:00.000Z	40 \| good	4.928 \| good	19.111 \| good	43.247 \| good	0.265 \| good	1.674 \| good	0.173 \| good
2025-07-26T22:00:00.000Z	40 \| good	5.956 \| good	24.592 \| good	43.419 \| good	0.275 \| good	1.965 \| good	0.173 \| good
2025-07-26T23:00:00.000Z	41 \| good	5.53 \| good	23.803 \| good	44.347 \| good	0.12 \| good	2.163 \| good	0.173 \| good
2025-07-27T00:00:00.000Z	40 \| good	7.392 \| good	33.141 \| good	43.357 \| good	0.127 \| good	2.286 \| good	0.19 \| good
2025-07-27T01:00:00.000Z	44 \| good	7.694 \| good	38.182 \| good	41.113 \| good	0.156 \| good	2.448 \| good	0.27 \| good
2025-07-27T02:00:00.000Z	49 \| good	8.98 \| good	37.998 \| good	37.444 \| good	0.142 \| good	3.031 \| good	0.253 \| good
2025-07-27T03:00:00.000Z	52 \| moderate	9.606 \| good	47.163 \| good	34.029 \| good	0.162 \| good	3.008 \| good	0.253 \| good
2025-07-27T04:00:00.000Z	52 \| moderate	10.461 \| good	50.701 \| good	31.7 \| good	0.191 \| good	2.021 \| good	0.239 \| good
2025-07-27T05:00:00.000Z	52 \| moderate	9.589 \| good	44.386 \| good	27.611 \| good	0.228 \| good	2.487 \| good	0.256 \| good
2025-07-27T06:00:00.000Z	49 \| good	8.998 \| good	41.705 \| good	24.767 \| good	0.162 \| good	2.342 \| good	0.253 \| good
2025-07-27T07:00:00.000Z	44 \| good	8.195 \| good	34.192 \| good	21.046 \| good	0.149 \| good	2.106 \| good	0.159 \| good
2025-07-27T08:00:00.000Z	44 \| good	7.849 \| good	45.268 \| good	21.392 \| good	0.178 \| good	2.323 \| good	0.159 \| good
2025-07-27T09:00:00.000Z	38 \| good	6.845 \| good	27.589 \| good	20.645 \| good	0.172 \| good	2.42 \| good	0.159 \| good
2025-07-27T10:00:00.000Z	44 \| good	7.797 \| good	37.348 \| good	18.623 \| good	0.221 \| good	2.427 \| good	0.159 \| good
2025-07-27T11:00:00.000Z	44 \| good	8.128 \| good	41.662 \| good	20.452 \| good	0.21 \| good	2.768 \| good	0.173 \| good
2025-07-27T12:00:00.000Z	38 \| good	7.435 \| good	34.23 \| good	24.162 \| good	0.204 \| good	3.102 \| good	0.19 \| good
2025-07-27T13:00:00.000Z	49 \| good	9.023 \| good	37.334 \| good	28.481 \| good	0.156 \| good	3.335 \| good	0.173 \| good
2025-07-27T14:00:00.000Z	52 \| moderate	9.629 \| good	43.145 \| good	31.112 \| good	0.247 \| good	2.859 \| good	0.142 \| good
2025-07-27T15:00:00.000Z	49 \| good	8.648 \| good	47.421 \| good	32.443 \| good	0.319 \| good	2.101 \| good	0.204 \| good
2025-07-27T16:00:00.000Z	52 \| moderate	9.552 \| good	37.189 \| good	37.338 \| good	0.13 \| good	1.924 \| good	0.204 \| good
2025-07-27T17:00:00.000Z	49 \| good	8.826 \| good	39.197 \| good	40.243 \| good	0.374 \| good	1.994 \| good	0.142 \| good
2025-07-27T18:00:00.000Z	49 \| good	8.681 \| good	37.3 \| good	39.722 \| good	0.178 \| good	1.727 \| good	0.142 \| good
2025-07-27T19:00:00.000Z	44 \| good	7.653 \| good	33.588 \| good	37.498 \| good	0.112 \| good	2.295 \| good	0.142 \| good
2025-07-27T20:00:00.000Z	33 \| good	5.265 \| good	24.39 \| good	35.764 \| good	0.105 \| good	3.07 \| good	0.173 \| good
2025-07-27T21:00:00.000Z	31 \| good	3.933 \| good	20.568 \| good	34.27 \| good	0.282 \| good	3.557 \| good	0.176 \| good
2025-07-27T22:00:00.000Z	31 \| good	3.023 \| good	13.947 \| good	33.342 \| good	0.116 \| good	2.727 \| good	0.158 \| good
2025-07-27T23:00:00.000Z	26 \| good	3.627 \| good	15.996 \| good	27.924 \| good	0.124 \| good	3.906 \| good	0.239 \| good
2025-07-28T00:00:00.000Z	22 \| good	3.85 \| good	17.152 \| good	23.255 \| good	0.307 \| good	6.201 \| good	0.239 \| good
2025-07-28T01:00:00.000Z	22 \| good	3.529 \| good	14.148 \| good	19.132 \| good	0.119 \| good	5.71 \| good	0.225 \| good
2025-07-28T02:00:00.000Z	16 \| good	3.4 \| good	13.521 \| good	14.802 \| good	0.301 \| good	4.634 \| good	0.222 \| good
2025-07-28T03:00:00.000Z	16 \| good	2.83 \| good	11.066 \| good	9.053 \| good	0.207 \| good	4.712 \| good	0.176 \| good
2025-07-28T04:00:00.000Z	16 \| good	2.529 \| good	9.37 \| good	5.839 \| good	0.269 \| good	4.906 \| good	0.239 \| good
2025-07-28T05:00:00.000Z	11 \| good	1.975 \| good	7.853 \| good	6.578 \| good	0.25 \| good	4.784 \| good	0.222 \| good
2025-07-28T06:00:00.000Z	11 \| good	1.767 \| good	7.817 \| good	5.609 \| good	0.297 \| good	4.709 \| good	0.208 \| good
2025-07-28T07:00:00.000Z	16 \| good	2.774 \| good	10.819 \| good	4.977 \| good	0.325 \| good	5.036 \| good	0.145 \| good
2025-07-28T08:00:00.000Z	11 \| good	2.163 \| good	10.678 \| good	6.783 \| good	0.278 \| good	4.417 \| good	0.145 \| good
2025-07-28T09:00:00.000Z	11 \| good	2.427 \| good	10.531 \| good	7.688 \| good	0.201 \| good	3.329 \| good	0.14 \| good
2025-07-28T10:00:00.000Z	22 \| good	4.11 \| good	18.877 \| good	10.667 \| good	0.133 \| good	3.981 \| good	0.14 \| good
2025-07-28T11:00:00.000Z	16 \| good	3.484 \| good	16.459 \| good	14.255 \| good	0.149 \| good	5.644 \| good	0.14 \| good
2025-07-28T12:00:00.000Z	16 \| good	3.41 \| good	15.102 \| good	14.5 \| good	0.324 \| good	5.891 \| good	0.129 \| good
2025-07-28T13:00:00.000Z	22 \| good	3.786 \| good	14.528 \| good	18.908 \| good	0.729 \| good	4.06 \| good	0.142 \| good
2025-07-28T14:00:00.000Z	27 \| good	4.668 \| good	21.823 \| good	23.699 \| good	0.224 \| good	3.262 \| good	0.128 \| good
2025-07-28T15:00:00.000Z	33 \| good	5.55 \| good	24.008 \| good	29.764 \| good	0.174 \| good	2.903 \| good	0.145 \| good
2025-07-28T16:00:00.000Z	33 \| good	5.954 \| good	25.282 \| good	34.859 \| good	0.154 \| good	2.446 \| good	0.145 \| good
2025-07-28T17:00:00.000Z	35 \| good	6.029 \| good	26.095 \| good	37.674 \| good	0.25 \| good	2.093 \| good	0.145 \| good
2025-07-28T17:00:00.000Z	35 \| good	6.029 \| good	26.095 \| good	37.674 \| good	0.25 \| good	2.093 \| good	0.145 \| good
2025-07-26T20:00:00.000Z	52 \| moderate	10.051 \| good	44.651 \| good	44.876 \| good	2.332 \| good	2.203 \| good	0.184 \| good
2025-07-26T21:00:00.000Z	49 \| good	9.354 \| good	41.85 \| good	42.981 \| good	2.176 \| good	2.537 \| good	0.186 \| good
2025-07-26T22:00:00.000Z	44 \| good	8.285 \| good	36.71 \| good	37.66 \| good	2.158 \| good	4.493 \| good	0.205 \| good
2025-07-26T23:00:00.000Z	38 \| good	7.304 \| good	31.914 \| good	34.014 \| good	2.14 \| good	6.449 \| good	0.223 \| good
2025-07-27T00:00:00.000Z	38 \| good	7.433 \| good	32.927 \| good	36.311 \| good	2.122 \| good	8.405 \| good	0.242 \| good
2025-07-27T01:00:00.000Z	52 \| moderate	9.517 \| good	42.337 \| good	32.206 \| good	2.09 \| good	9.325 \| good	0.256 \| good
2025-07-27T02:00:00.000Z	54 \| moderate	10.63 \| good	46.864 \| good	33.227 \| good	2.059 \| good	10.245 \| good	0.269 \| good
2025-07-27T03:00:00.000Z	54 \| moderate	11.346 \| good	50.538 \| good	33.339 \| good	2.027 \| good	11.166 \| good	0.283 \| good
2025-07-27T04:00:00.000Z	52 \| moderate	10.313 \| good	45.618 \| good	29.529 \| good	1.991 \| good	11.496 \| good	0.289 \| good
2025-07-27T05:00:00.000Z	49 \| good	9.448 \| good	41.822 \| good	26.417 \| good	1.956 \| good	11.826 \| good	0.295 \| good
2025-07-27T06:00:00.000Z	44 \| good	7.936 \| good	34.894 \| good	30.055 \| good	1.92 \| good	12.156 \| good	0.301 \| good
2025-07-27T07:00:00.000Z	33 \| good	6.466 \| good	28.914 \| good	32.386 \| good	1.889 \| good	10.935 \| good	0.29 \| good
2025-07-27T08:00:00.000Z	38 \| good	6.709 \| good	29.777 \| good	29.912 \| good	1.858 \| good	9.715 \| good	0.278 \| good
2025-07-27T09:00:00.000Z	44 \| good	7.628 \| good	33.394 \| good	30.112 \| good	1.826 \| good	8.494 \| good	0.267 \| good
2025-07-27T10:00:00.000Z	27 \| good	5.315 \| good	23.144 \| good	24.478 \| good	1.823 \| good	7.845 \| good	0.267 \| good
2025-07-27T11:00:00.000Z	27 \| good	4.779 \| good	20.974 \| good	25.48 \| good	1.82 \| good	7.197 \| good	0.268 \| good
2025-07-27T12:00:00.000Z	27 \| good	5.499 \| good	23.67 \| good	25.934 \| good	1.817 \| good	6.548 \| good	0.269 \| good
2025-07-27T13:00:00.000Z	33 \| good	6.234 \| good	27.571 \| good	31.485 \| good	2.279 \| good	5.196 \| good	0.263 \| good
2025-07-27T14:00:00.000Z	39 \| good	7.419 \| good	32.563 \| good	41.744 \| good	2.741 \| good	3.845 \| good	0.258 \| good
2025-07-27T15:00:00.000Z	44 \| good	8.313 \| good	36.622 \| good	48.238 \| good	3.203 \| good	2.493 \| good	0.253 \| good
2025-07-27T16:00:00.000Z	45 \| good	7.866 \| good	34.335 \| good	48.821 \| good	3.126 \| good	2.187 \| good	0.234 \| good
2025-07-27T17:00:00.000Z	44 \| good	6.326 \| good	28.091 \| good	47.811 \| good	3.049 \| good	1.88 \| good	0.215 \| good
2025-07-27T18:00:00.000Z	46 \| good	6.925 \| good	30.534 \| good	50.313 \| good	2.971 \| good	1.573 \| good	0.196 \| good
2025-07-27T19:00:00.000Z	47 \| good	6.757 \| good	30.022 \| good	50.745 \| good	2.804 \| good	2.075 \| good	0.192 \| good
2025-07-27T20:00:00.000Z	44 \| good	7.532 \| good	33.012 \| good	45.246 \| good	2.636 \| good	2.577 \| good	0.188 \| good
2025-07-27T21:00:00.000Z	44 \| good	7.701 \| good	33.627 \| good	40.416 \| good	2.469 \| good	3.079 \| good	0.184 \| good
2025-07-27T22:00:00.000Z	44 \| good	7.841 \| good	34.49 \| good	41.826 \| good	2.575 \| good	5.198 \| good	0.204 \| good
2025-07-27T23:00:00.000Z	37 \| good	5.825 \| good	24.975 \| good	40.308 \| good	2.681 \| good	7.318 \| good	0.223 \| good
2025-07-28T00:00:00.000Z	41 \| good	5.795 \| good	25.339 \| good	43.588 \| good	2.788 \| good	9.437 \| good	0.243 \| good
2025-07-28T01:00:00.000Z	37 \| good	5.467 \| good	23.738 \| good	40.208 \| good	2.628 \| good	11.283 \| good	0.261 \| good
2025-07-28T02:00:00.000Z	34 \| good	4.546 \| good	19.517 \| good	37.357 \| good	2.469 \| good	13.128 \| good	0.278 \| good
2025-07-28T03:00:00.000Z	30 \| good	3.033 \| good	12.317 \| good	32.104 \| good	2.309 \| good	14.973 \| good	0.296 \| good
2025-07-28T04:00:00.000Z	24 \| good	2.193 \| good	9.182 \| good	26.426 \| good	2.233 \| good	13.164 \| good	0.277 \| good
2025-07-28T05:00:00.000Z	19 \| good	3.236 \| good	14.055 \| good	20.388 \| good	2.156 \| good	11.355 \| good	0.257 \| good
2025-07-28T06:00:00.000Z	16 \| good	3.373 \| good	14.564 \| good	17.324 \| good	2.08 \| good	9.546 \| good	0.237 \| good
2025-07-28T07:00:00.000Z	16 \| good	3.25 \| good	13.941 \| good	14.553 \| good	2.134 \| good	8.319 \| good	0.224 \| good
2025-07-28T08:00:00.000Z	27 \| good	4.56 \| good	19.692 \| good	13.434 \| good	2.189 \| good	7.092 \| good	0.211 \| good
2025-07-28T09:00:00.000Z	27 \| good	5.126 \| good	21.954 \| good	14.13 \| good	2.243 \| good	5.865 \| good	0.199 \| good
2025-07-28T10:00:00.000Z	22 \| good	3.975 \| good	17.307 \| good	10.633 \| good	2.387 \| good	5.03 \| good	0.195 \| good
2025-07-28T11:00:00.000Z	27 \| good	4.523 \| good	19.758 \| good	11.834 \| good	2.531 \| good	4.195 \| good	0.191 \| good
2025-07-28T12:00:00.000Z	38 \| good	6.611 \| good	29.576 \| good	20.707 \| good	2.675 \| good	3.36 \| good	0.188 \| good
2025-07-28T13:00:00.000Z	44 \| good	8.113 \| good	35.695 \| good	34.309 \| good	2.319 \| good	2.888 \| good	0.187 \| good
2025-07-28T14:00:00.000Z	44 \| good	7.977 \| good	35.005 \| good	44.568 \| good	1.963 \| good	2.416 \| good	0.187 \| good
2025-07-28T15:00:00.000Z	44 \| good	7.535 \| good	33.255 \| good	47.945 \| good	1.606 \| good	1.944 \| good	0.186 \| good
2025-07-28T16:00:00.000Z	44 \| good	7.266 \| good	31.83 \| good	47.011 \| good	1.49 \| good	1.769 \| good	0.187 \| good
2025-07-28T17:00:00.000Z	50 \| good	8.227 \| good	35.882 \| good	54.191 \| good	1.374 \| good	1.595 \| good	0.187 \| good
2025-07-28T18:00:00.000Z	61 \| moderate	9.448 \| good	42.061 \| good	57.7 \| fine	1.258 \| good	1.421 \| good	0.187 \| good
2025-07-28T19:00:00.000Z	61 \| moderate	9.099 \| good	39.954 \| good	58.372 \| fine	1.264 \| good	1.528 \| good	0.189 \| good

Greenbelt

Get reliable air quality data to drive your business

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

0.22ppm

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 10:00:00 on 2025-07-25.

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 03:00:00 on 2025-07-26.

What is the AQI in Greenbelt, Maryland right now?

As of now, the AQI in Greenbelt, Maryland is 39, 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 3.988 μg/m³.

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

The PM₁₀ concentration in Greenbelt, Maryland is 19.25 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 0.142 ppm.

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

Currently, Greenbelt, Maryland has a sulfur dioxide (SO₂) concentration of 0.228 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 42.026 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 1.905 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-07-26T18:00:00.000Z	39 \| good	3.988 \| good	19.25 \| good	42.026 \| good	0.228 \| good	1.905 \| good	0.142 \| good
2025-07-26T19:00:00.000Z	40 \| good	3.401 \| good	11.556 \| good	42.734 \| good	0.118 \| good	1.794 \| good	0.142 \| good
2025-07-26T20:00:00.000Z	40 \| good	4.041 \| good	19.298 \| good	42.641 \| good	0.129 \| good	1.653 \| good	0.173 \| good
2025-07-26T21:00:00.000Z	40 \| good	4.928 \| good	19.111 \| good	43.247 \| good	0.265 \| good	1.674 \| good	0.173 \| good
2025-07-26T22:00:00.000Z	40 \| good	5.956 \| good	24.592 \| good	43.419 \| good	0.275 \| good	1.965 \| good	0.173 \| good
2025-07-26T23:00:00.000Z	41 \| good	5.53 \| good	23.803 \| good	44.347 \| good	0.12 \| good	2.163 \| good	0.173 \| good
2025-07-27T00:00:00.000Z	40 \| good	7.392 \| good	33.141 \| good	43.357 \| good	0.127 \| good	2.286 \| good	0.19 \| good
2025-07-27T01:00:00.000Z	44 \| good	7.694 \| good	38.182 \| good	41.113 \| good	0.156 \| good	2.448 \| good	0.27 \| good
2025-07-27T02:00:00.000Z	49 \| good	8.98 \| good	37.998 \| good	37.444 \| good	0.142 \| good	3.031 \| good	0.253 \| good
2025-07-27T03:00:00.000Z	52 \| moderate	9.606 \| good	47.163 \| good	34.029 \| good	0.162 \| good	3.008 \| good	0.253 \| good
2025-07-27T04:00:00.000Z	52 \| moderate	10.461 \| good	50.701 \| good	31.7 \| good	0.191 \| good	2.021 \| good	0.239 \| good
2025-07-27T05:00:00.000Z	52 \| moderate	9.589 \| good	44.386 \| good	27.611 \| good	0.228 \| good	2.487 \| good	0.256 \| good
2025-07-27T06:00:00.000Z	49 \| good	8.998 \| good	41.705 \| good	24.767 \| good	0.162 \| good	2.342 \| good	0.253 \| good
2025-07-27T07:00:00.000Z	44 \| good	8.195 \| good	34.192 \| good	21.046 \| good	0.149 \| good	2.106 \| good	0.159 \| good
2025-07-27T08:00:00.000Z	44 \| good	7.849 \| good	45.268 \| good	21.392 \| good	0.178 \| good	2.323 \| good	0.159 \| good
2025-07-27T09:00:00.000Z	38 \| good	6.845 \| good	27.589 \| good	20.645 \| good	0.172 \| good	2.42 \| good	0.159 \| good
2025-07-27T10:00:00.000Z	44 \| good	7.797 \| good	37.348 \| good	18.623 \| good	0.221 \| good	2.427 \| good	0.159 \| good
2025-07-27T11:00:00.000Z	44 \| good	8.128 \| good	41.662 \| good	20.452 \| good	0.21 \| good	2.768 \| good	0.173 \| good
2025-07-27T12:00:00.000Z	38 \| good	7.435 \| good	34.23 \| good	24.162 \| good	0.204 \| good	3.102 \| good	0.19 \| good
2025-07-27T13:00:00.000Z	49 \| good	9.023 \| good	37.334 \| good	28.481 \| good	0.156 \| good	3.335 \| good	0.173 \| good
2025-07-27T14:00:00.000Z	52 \| moderate	9.629 \| good	43.145 \| good	31.112 \| good	0.247 \| good	2.859 \| good	0.142 \| good
2025-07-27T15:00:00.000Z	49 \| good	8.648 \| good	47.421 \| good	32.443 \| good	0.319 \| good	2.101 \| good	0.204 \| good
2025-07-27T16:00:00.000Z	52 \| moderate	9.552 \| good	37.189 \| good	37.338 \| good	0.13 \| good	1.924 \| good	0.204 \| good
2025-07-27T17:00:00.000Z	49 \| good	8.826 \| good	39.197 \| good	40.243 \| good	0.374 \| good	1.994 \| good	0.142 \| good
2025-07-27T18:00:00.000Z	49 \| good	8.681 \| good	37.3 \| good	39.722 \| good	0.178 \| good	1.727 \| good	0.142 \| good
2025-07-27T19:00:00.000Z	44 \| good	7.653 \| good	33.588 \| good	37.498 \| good	0.112 \| good	2.295 \| good	0.142 \| good
2025-07-27T20:00:00.000Z	33 \| good	5.265 \| good	24.39 \| good	35.764 \| good	0.105 \| good	3.07 \| good	0.173 \| good
2025-07-27T21:00:00.000Z	31 \| good	3.933 \| good	20.568 \| good	34.27 \| good	0.282 \| good	3.557 \| good	0.176 \| good
2025-07-27T22:00:00.000Z	31 \| good	3.023 \| good	13.947 \| good	33.342 \| good	0.116 \| good	2.727 \| good	0.158 \| good
2025-07-27T23:00:00.000Z	26 \| good	3.627 \| good	15.996 \| good	27.924 \| good	0.124 \| good	3.906 \| good	0.239 \| good
2025-07-28T00:00:00.000Z	22 \| good	3.85 \| good	17.152 \| good	23.255 \| good	0.307 \| good	6.201 \| good	0.239 \| good
2025-07-28T01:00:00.000Z	22 \| good	3.529 \| good	14.148 \| good	19.132 \| good	0.119 \| good	5.71 \| good	0.225 \| good
2025-07-28T02:00:00.000Z	16 \| good	3.4 \| good	13.521 \| good	14.802 \| good	0.301 \| good	4.634 \| good	0.222 \| good
2025-07-28T03:00:00.000Z	16 \| good	2.83 \| good	11.066 \| good	9.053 \| good	0.207 \| good	4.712 \| good	0.176 \| good
2025-07-28T04:00:00.000Z	16 \| good	2.529 \| good	9.37 \| good	5.839 \| good	0.269 \| good	4.906 \| good	0.239 \| good
2025-07-28T05:00:00.000Z	11 \| good	1.975 \| good	7.853 \| good	6.578 \| good	0.25 \| good	4.784 \| good	0.222 \| good
2025-07-28T06:00:00.000Z	11 \| good	1.767 \| good	7.817 \| good	5.609 \| good	0.297 \| good	4.709 \| good	0.208 \| good
2025-07-28T07:00:00.000Z	16 \| good	2.774 \| good	10.819 \| good	4.977 \| good	0.325 \| good	5.036 \| good	0.145 \| good
2025-07-28T08:00:00.000Z	11 \| good	2.163 \| good	10.678 \| good	6.783 \| good	0.278 \| good	4.417 \| good	0.145 \| good
2025-07-28T09:00:00.000Z	11 \| good	2.427 \| good	10.531 \| good	7.688 \| good	0.201 \| good	3.329 \| good	0.14 \| good
2025-07-28T10:00:00.000Z	22 \| good	4.11 \| good	18.877 \| good	10.667 \| good	0.133 \| good	3.981 \| good	0.14 \| good
2025-07-28T11:00:00.000Z	16 \| good	3.484 \| good	16.459 \| good	14.255 \| good	0.149 \| good	5.644 \| good	0.14 \| good
2025-07-28T12:00:00.000Z	16 \| good	3.41 \| good	15.102 \| good	14.5 \| good	0.324 \| good	5.891 \| good	0.129 \| good
2025-07-28T13:00:00.000Z	22 \| good	3.786 \| good	14.528 \| good	18.908 \| good	0.729 \| good	4.06 \| good	0.142 \| good
2025-07-28T14:00:00.000Z	27 \| good	4.668 \| good	21.823 \| good	23.699 \| good	0.224 \| good	3.262 \| good	0.128 \| good
2025-07-28T15:00:00.000Z	33 \| good	5.55 \| good	24.008 \| good	29.764 \| good	0.174 \| good	2.903 \| good	0.145 \| good
2025-07-28T16:00:00.000Z	33 \| good	5.954 \| good	25.282 \| good	34.859 \| good	0.154 \| good	2.446 \| good	0.145 \| good
2025-07-28T17:00:00.000Z	35 \| good	6.029 \| good	26.095 \| good	37.674 \| good	0.25 \| good	2.093 \| good	0.145 \| good
2025-07-28T17:00:00.000Z	35 \| good	6.029 \| good	26.095 \| good	37.674 \| good	0.25 \| good	2.093 \| good	0.145 \| good
2025-07-26T20:00:00.000Z	52 \| moderate	10.051 \| good	44.651 \| good	44.876 \| good	2.332 \| good	2.203 \| good	0.184 \| good
2025-07-26T21:00:00.000Z	49 \| good	9.354 \| good	41.85 \| good	42.981 \| good	2.176 \| good	2.537 \| good	0.186 \| good
2025-07-26T22:00:00.000Z	44 \| good	8.285 \| good	36.71 \| good	37.66 \| good	2.158 \| good	4.493 \| good	0.205 \| good
2025-07-26T23:00:00.000Z	38 \| good	7.304 \| good	31.914 \| good	34.014 \| good	2.14 \| good	6.449 \| good	0.223 \| good
2025-07-27T00:00:00.000Z	38 \| good	7.433 \| good	32.927 \| good	36.311 \| good	2.122 \| good	8.405 \| good	0.242 \| good
2025-07-27T01:00:00.000Z	52 \| moderate	9.517 \| good	42.337 \| good	32.206 \| good	2.09 \| good	9.325 \| good	0.256 \| good
2025-07-27T02:00:00.000Z	54 \| moderate	10.63 \| good	46.864 \| good	33.227 \| good	2.059 \| good	10.245 \| good	0.269 \| good
2025-07-27T03:00:00.000Z	54 \| moderate	11.346 \| good	50.538 \| good	33.339 \| good	2.027 \| good	11.166 \| good	0.283 \| good
2025-07-27T04:00:00.000Z	52 \| moderate	10.313 \| good	45.618 \| good	29.529 \| good	1.991 \| good	11.496 \| good	0.289 \| good
2025-07-27T05:00:00.000Z	49 \| good	9.448 \| good	41.822 \| good	26.417 \| good	1.956 \| good	11.826 \| good	0.295 \| good
2025-07-27T06:00:00.000Z	44 \| good	7.936 \| good	34.894 \| good	30.055 \| good	1.92 \| good	12.156 \| good	0.301 \| good
2025-07-27T07:00:00.000Z	33 \| good	6.466 \| good	28.914 \| good	32.386 \| good	1.889 \| good	10.935 \| good	0.29 \| good
2025-07-27T08:00:00.000Z	38 \| good	6.709 \| good	29.777 \| good	29.912 \| good	1.858 \| good	9.715 \| good	0.278 \| good
2025-07-27T09:00:00.000Z	44 \| good	7.628 \| good	33.394 \| good	30.112 \| good	1.826 \| good	8.494 \| good	0.267 \| good
2025-07-27T10:00:00.000Z	27 \| good	5.315 \| good	23.144 \| good	24.478 \| good	1.823 \| good	7.845 \| good	0.267 \| good
2025-07-27T11:00:00.000Z	27 \| good	4.779 \| good	20.974 \| good	25.48 \| good	1.82 \| good	7.197 \| good	0.268 \| good
2025-07-27T12:00:00.000Z	27 \| good	5.499 \| good	23.67 \| good	25.934 \| good	1.817 \| good	6.548 \| good	0.269 \| good
2025-07-27T13:00:00.000Z	33 \| good	6.234 \| good	27.571 \| good	31.485 \| good	2.279 \| good	5.196 \| good	0.263 \| good
2025-07-27T14:00:00.000Z	39 \| good	7.419 \| good	32.563 \| good	41.744 \| good	2.741 \| good	3.845 \| good	0.258 \| good
2025-07-27T15:00:00.000Z	44 \| good	8.313 \| good	36.622 \| good	48.238 \| good	3.203 \| good	2.493 \| good	0.253 \| good
2025-07-27T16:00:00.000Z	45 \| good	7.866 \| good	34.335 \| good	48.821 \| good	3.126 \| good	2.187 \| good	0.234 \| good
2025-07-27T17:00:00.000Z	44 \| good	6.326 \| good	28.091 \| good	47.811 \| good	3.049 \| good	1.88 \| good	0.215 \| good
2025-07-27T18:00:00.000Z	46 \| good	6.925 \| good	30.534 \| good	50.313 \| good	2.971 \| good	1.573 \| good	0.196 \| good
2025-07-27T19:00:00.000Z	47 \| good	6.757 \| good	30.022 \| good	50.745 \| good	2.804 \| good	2.075 \| good	0.192 \| good
2025-07-27T20:00:00.000Z	44 \| good	7.532 \| good	33.012 \| good	45.246 \| good	2.636 \| good	2.577 \| good	0.188 \| good
2025-07-27T21:00:00.000Z	44 \| good	7.701 \| good	33.627 \| good	40.416 \| good	2.469 \| good	3.079 \| good	0.184 \| good
2025-07-27T22:00:00.000Z	44 \| good	7.841 \| good	34.49 \| good	41.826 \| good	2.575 \| good	5.198 \| good	0.204 \| good
2025-07-27T23:00:00.000Z	37 \| good	5.825 \| good	24.975 \| good	40.308 \| good	2.681 \| good	7.318 \| good	0.223 \| good
2025-07-28T00:00:00.000Z	41 \| good	5.795 \| good	25.339 \| good	43.588 \| good	2.788 \| good	9.437 \| good	0.243 \| good
2025-07-28T01:00:00.000Z	37 \| good	5.467 \| good	23.738 \| good	40.208 \| good	2.628 \| good	11.283 \| good	0.261 \| good
2025-07-28T02:00:00.000Z	34 \| good	4.546 \| good	19.517 \| good	37.357 \| good	2.469 \| good	13.128 \| good	0.278 \| good
2025-07-28T03:00:00.000Z	30 \| good	3.033 \| good	12.317 \| good	32.104 \| good	2.309 \| good	14.973 \| good	0.296 \| good
2025-07-28T04:00:00.000Z	24 \| good	2.193 \| good	9.182 \| good	26.426 \| good	2.233 \| good	13.164 \| good	0.277 \| good
2025-07-28T05:00:00.000Z	19 \| good	3.236 \| good	14.055 \| good	20.388 \| good	2.156 \| good	11.355 \| good	0.257 \| good
2025-07-28T06:00:00.000Z	16 \| good	3.373 \| good	14.564 \| good	17.324 \| good	2.08 \| good	9.546 \| good	0.237 \| good
2025-07-28T07:00:00.000Z	16 \| good	3.25 \| good	13.941 \| good	14.553 \| good	2.134 \| good	8.319 \| good	0.224 \| good
2025-07-28T08:00:00.000Z	27 \| good	4.56 \| good	19.692 \| good	13.434 \| good	2.189 \| good	7.092 \| good	0.211 \| good
2025-07-28T09:00:00.000Z	27 \| good	5.126 \| good	21.954 \| good	14.13 \| good	2.243 \| good	5.865 \| good	0.199 \| good
2025-07-28T10:00:00.000Z	22 \| good	3.975 \| good	17.307 \| good	10.633 \| good	2.387 \| good	5.03 \| good	0.195 \| good
2025-07-28T11:00:00.000Z	27 \| good	4.523 \| good	19.758 \| good	11.834 \| good	2.531 \| good	4.195 \| good	0.191 \| good
2025-07-28T12:00:00.000Z	38 \| good	6.611 \| good	29.576 \| good	20.707 \| good	2.675 \| good	3.36 \| good	0.188 \| good
2025-07-28T13:00:00.000Z	44 \| good	8.113 \| good	35.695 \| good	34.309 \| good	2.319 \| good	2.888 \| good	0.187 \| good
2025-07-28T14:00:00.000Z	44 \| good	7.977 \| good	35.005 \| good	44.568 \| good	1.963 \| good	2.416 \| good	0.187 \| good
2025-07-28T15:00:00.000Z	44 \| good	7.535 \| good	33.255 \| good	47.945 \| good	1.606 \| good	1.944 \| good	0.186 \| good
2025-07-28T16:00:00.000Z	44 \| good	7.266 \| good	31.83 \| good	47.011 \| good	1.49 \| good	1.769 \| good	0.187 \| good
2025-07-28T17:00:00.000Z	50 \| good	8.227 \| good	35.882 \| good	54.191 \| good	1.374 \| good	1.595 \| good	0.187 \| good
2025-07-28T18:00:00.000Z	61 \| moderate	9.448 \| good	42.061 \| good	57.7 \| fine	1.258 \| good	1.421 \| good	0.187 \| good
2025-07-28T19:00:00.000Z	61 \| moderate	9.099 \| good	39.954 \| good	58.372 \| fine	1.264 \| good	1.528 \| good	0.189 \| 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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