What are the current PM10 levels at Germantown, Maryland?

The current PM10 levels in Germantown, Maryland are 17.197 μg/m3.

What are the current sulfur dioxide (SO2) levels at Germantown, Maryland?

The current sulfur dioxide (SO2) levels in Germantown, Maryland are 0.382 ppb.

What are the current ozone (O3) levels at Germantown, Maryland?

The current ozone (O3) levels at Germantown, Maryland is 3.581 ppm.

What are the current nitrogen dioxide (NO2) levels at Germantown, Maryland?

The current nitrogen dioxide (NO2) levels at Germantown, Maryland is 14.958 ppb.

Real-time air quality index in Germantown, Maryland today

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

Stay updated with real-time air quality in Germantown, 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

Germantown, Maryland

Last updated: ... (Local time)

Common air pollutants in Germantown, Maryland

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

4.56 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

17.20 μg/m³

155

255

425

605+

Ozone (O₃)

3.58 ppb

201

201+

Sulfur Dioxide (SO₂)

0.38 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

14.96 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.36 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Germantown, Maryland

Get Live Pollen Counts

Germantown, Maryland

Scroll To Air Quality Map

Track live Germantown, Maryland air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T12:00:00.000Z	38 \| good	6.558 \| good	29.667 \| good	9.584 \| good	0.136 \| good	8.018 \| good	0.31 \| good
2025-10-19T13:00:00.000Z	33 \| good	6.494 \| good	29.065 \| good	9.456 \| good	0.16 \| good	7.681 \| good	0.325 \| good
2025-10-19T14:00:00.000Z	38 \| good	7.202 \| good	31.853 \| good	19.159 \| good	0.155 \| good	6.282 \| good	0.321 \| good
2025-10-19T15:00:00.000Z	49 \| good	9.02 \| good	39.655 \| good	26.734 \| good	0.254 \| good	4.779 \| good	0.258 \| good
2025-10-19T16:00:00.000Z	52 \| moderate	9.543 \| good	42.006 \| good	32.232 \| good	0.334 \| good	3.697 \| good	0.236 \| good
2025-10-19T17:00:00.000Z	49 \| good	9.348 \| good	40.769 \| good	35.561 \| good	0.334 \| good	2.84 \| good	0.236 \| good
2025-10-19T18:00:00.000Z	49 \| good	8.641 \| good	37.538 \| good	38.603 \| good	0.284 \| good	2.466 \| good	0.189 \| good
2025-10-19T19:00:00.000Z	38 \| good	7.415 \| good	32.239 \| good	40.727 \| good	0.29 \| good	2.279 \| good	0.236 \| good
2025-10-19T20:00:00.000Z	39 \| good	7.237 \| good	31.921 \| good	41.864 \| good	0.265 \| good	1.896 \| good	0.215 \| good
2025-10-19T21:00:00.000Z	44 \| good	8.087 \| good	35.498 \| good	43.506 \| good	0.248 \| good	2.209 \| good	0.189 \| good
2025-10-19T22:00:00.000Z	44 \| good	8.186 \| good	35.686 \| good	44.429 \| good	0.256 \| good	2.516 \| good	0.189 \| good
2025-10-19T23:00:00.000Z	38 \| good	6.773 \| good	29.86 \| good	39.834 \| good	0.271 \| good	2.527 \| good	0.189 \| good
2025-10-20T00:00:00.000Z	33 \| good	5.504 \| good	23.605 \| good	36.172 \| good	0.244 \| good	2.835 \| good	0.189 \| good
2025-10-20T01:00:00.000Z	32 \| good	4.746 \| good	20.996 \| good	35.35 \| good	0.198 \| good	3.259 \| good	0.205 \| good
2025-10-20T02:00:00.000Z	37 \| good	4.398 \| good	18.883 \| good	39.577 \| good	0.222 \| good	2.459 \| good	0.205 \| good
2025-10-20T03:00:00.000Z	34 \| good	3.356 \| good	14.658 \| good	36.763 \| good	0.191 \| good	2.33 \| good	0.157 \| good
2025-10-20T04:00:00.000Z	34 \| good	3.331 \| good	14.514 \| good	36.816 \| good	0.172 \| good	2.07 \| good	0.157 \| good
2025-10-20T05:00:00.000Z	28 \| good	1.662 \| good	6.754 \| good	29.948 \| good	0.21 \| good	2.221 \| good	0.157 \| good
2025-10-20T06:00:00.000Z	28 \| good	1.352 \| good	5.665 \| good	29.7 \| good	0.14 \| good	2.927 \| good	0.157 \| good
2025-10-20T07:00:00.000Z	28 \| good	1.33 \| good	5.472 \| good	29.608 \| good	0.159 \| good	2.285 \| good	0.157 \| good
2025-10-20T08:00:00.000Z	20 \| good	2.645 \| good	11.37 \| good	22.328 \| good	0.142 \| good	3.213 \| good	0.157 \| good
2025-10-20T09:00:00.000Z	19 \| good	3.045 \| good	13.269 \| good	21.023 \| good	0.156 \| good	3.434 \| good	0.175 \| good
2025-10-20T10:00:00.000Z	22 \| good	2.486 \| good	10.107 \| good	23.635 \| good	0.159 \| good	2.352 \| good	0.157 \| good
2025-10-20T11:00:00.000Z	23 \| good	1.655 \| good	7.269 \| good	25.023 \| good	0.16 \| good	4.079 \| good	0.152 \| good
2025-10-20T12:00:00.000Z	23 \| good	1.381 \| good	5.902 \| good	25.348 \| good	0.173 \| good	4.368 \| good	0.126 \| good
2025-10-20T13:00:00.000Z	23 \| good	1.361 \| good	5.986 \| good	25.336 \| good	0.15 \| good	6.192 \| good	0.168 \| good
2025-10-20T14:00:00.000Z	27 \| good	4.62 \| good	19.719 \| good	22.72 \| good	0.166 \| good	5.96 \| good	0.183 \| good
2025-10-20T15:00:00.000Z	27 \| good	5.088 \| good	22.012 \| good	27.225 \| good	0.2 \| good	3.064 \| good	0.142 \| good
2025-10-20T16:00:00.000Z	27 \| good	4.329 \| good	19.105 \| good	29.118 \| good	0.229 \| good	2.152 \| good	0.126 \| good
2025-10-20T17:00:00.000Z	28 \| good	3.25 \| good	14.702 \| good	30.003 \| good	0.185 \| good	1.888 \| good	0.148 \| good
2025-10-20T18:00:00.000Z	29 \| good	2.535 \| good	10.914 \| good	31.114 \| good	0.181 \| good	1.626 \| good	0.142 \| good
2025-10-20T19:00:00.000Z	28 \| good	2.667 \| good	11.384 \| good	29.65 \| good	0.162 \| good	1.595 \| good	0.142 \| good
2025-10-20T20:00:00.000Z	28 \| good	2.357 \| good	10.069 \| good	30.363 \| good	0.168 \| good	1.659 \| good	0.142 \| good
2025-10-20T21:00:00.000Z	29 \| good	2.077 \| good	8.506 \| good	31.145 \| good	0.145 \| good	1.723 \| good	0.142 \| good
2025-10-20T22:00:00.000Z	28 \| good	1.694 \| good	7.368 \| good	29.6 \| good	0.169 \| good	3.937 \| good	0.142 \| good
2025-10-20T23:00:00.000Z	27 \| good	0.655 \| good	2.6 \| good	28.674 \| good	0.164 \| good	6.647 \| good	0.142 \| good
2025-10-21T00:00:00.000Z	26 \| good	0.501 \| good	1.928 \| good	28.461 \| good	0.146 \| good	8.045 \| good	0.142 \| good
2025-10-21T01:00:00.000Z	26 \| good	1.307 \| good	5.528 \| good	28.268 \| good	0.164 \| good	12.859 \| good	0.178 \| good
2025-10-21T02:00:00.000Z	22 \| good	2.178 \| good	9.105 \| good	23.571 \| good	0.143 \| good	13.865 \| good	0.263 \| good
2025-10-21T03:00:00.000Z	33 \| good	6.393 \| good	28.144 \| good	15.803 \| good	1.824 \| good	14.913 \| good	0.218 \| good
2025-10-21T04:00:00.000Z	22 \| good	3.851 \| good	16.727 \| good	10.824 \| good	0.191 \| good	14.686 \| good	0.322 \| good
2025-10-21T05:00:00.000Z	16 \| good	3.478 \| good	15.627 \| good	7.017 \| good	0.176 \| good	16.155 \| good	0.353 \| good
2025-10-21T06:00:00.000Z	22 \| good	4.25 \| good	18.774 \| good	4.564 \| good	0.168 \| good	15.278 \| good	0.358 \| good
2025-10-21T07:00:00.000Z	22 \| good	4.234 \| good	18.68 \| good	4.427 \| good	0.163 \| good	14.554 \| good	0.331 \| good
2025-10-21T08:00:00.000Z	22 \| good	3.577 \| good	15.766 \| good	1.726 \| good	0.227 \| good	13.551 \| good	0.332 \| good
2025-10-21T09:00:00.000Z	27 \| good	4.665 \| good	20.197 \| good	4.532 \| good	0.229 \| good	13.23 \| good	0.343 \| good
2025-10-21T10:00:00.000Z	27 \| good	4.774 \| good	20.729 \| good	2.871 \| good	0.336 \| good	15.612 \| good	0.343 \| good
2025-10-21T11:00:00.000Z	27 \| good	4.573 \| good	19.78 \| good	1.28 \| good	0.344 \| good	14.692 \| good	0.365 \| good
2025-10-21T11:00:00.000Z	27 \| good	4.558 \| good	17.197 \| good	3.581 \| good	0.382 \| good	14.958 \| good	0.362 \| good
2025-10-21T12:00:00.000Z	38 \| good	7.153 \| good	31.87 \| good	3.01 \| good	2.69 \| good	15.982 \| good	0.256 \| good
2025-10-21T13:00:00.000Z	33 \| good	6.041 \| good	26.837 \| good	5.953 \| good	2.554 \| good	13.463 \| good	0.249 \| good
2025-10-21T14:00:00.000Z	33 \| good	6.192 \| good	27.072 \| good	19.629 \| good	2.419 \| good	10.944 \| good	0.241 \| good
2025-10-21T15:00:00.000Z	38 \| good	7.218 \| good	32 \| good	29.339 \| good	2.283 \| good	8.425 \| good	0.233 \| good
2025-10-21T16:00:00.000Z	38 \| good	7.437 \| good	32.931 \| good	36.658 \| good	2.153 \| good	6.708 \| good	0.217 \| good
2025-10-21T17:00:00.000Z	41 \| good	5.612 \| good	23.951 \| good	43.695 \| good	2.023 \| good	4.991 \| good	0.201 \| good
2025-10-21T18:00:00.000Z	44 \| good	6.582 \| good	29.167 \| good	48.441 \| good	1.893 \| good	3.274 \| good	0.185 \| good
2025-10-21T19:00:00.000Z	44 \| good	6.708 \| good	29.884 \| good	48.413 \| good	1.797 \| good	3.621 \| good	0.184 \| good
2025-10-21T20:00:00.000Z	45 \| good	6.729 \| good	30 \| good	49.248 \| good	1.701 \| good	3.968 \| good	0.183 \| good
2025-10-21T21:00:00.000Z	44 \| good	7.539 \| good	33.183 \| good	45.409 \| good	1.606 \| good	4.316 \| good	0.182 \| good
2025-10-21T22:00:00.000Z	36 \| good	6.319 \| good	28.142 \| good	38.998 \| good	1.698 \| good	8.957 \| good	0.215 \| good
2025-10-21T23:00:00.000Z	33 \| good	5.97 \| good	25.952 \| good	33.136 \| good	1.789 \| good	13.599 \| good	0.248 \| good
2025-10-22T00:00:00.000Z	32 \| good	2.032 \| good	8.548 \| good	35.011 \| good	1.881 \| good	18.24 \| good	0.282 \| good
2025-10-22T01:00:00.000Z	22 \| good	3.788 \| good	16.671 \| good	24.287 \| good	1.835 \| good	16.306 \| good	0.265 \| good
2025-10-22T02:00:00.000Z	23 \| good	4.12 \| good	17.793 \| good	24.906 \| good	1.788 \| good	14.371 \| good	0.249 \| good
2025-10-22T03:00:00.000Z	33 \| good	6.113 \| good	27.402 \| good	22.981 \| good	1.742 \| good	12.436 \| good	0.233 \| good
2025-10-22T04:00:00.000Z	49 \| good	8.844 \| good	38.835 \| good	16.928 \| good	1.704 \| good	10.587 \| good	0.22 \| good
2025-10-22T05:00:00.000Z	56 \| moderate	11.542 \| good	51.258 \| good	16.093 \| good	1.667 \| good	8.738 \| good	0.207 \| good
2025-10-22T06:00:00.000Z	54 \| moderate	11.279 \| good	49.965 \| good	14.93 \| good	1.63 \| good	6.889 \| good	0.194 \| good
2025-10-22T07:00:00.000Z	44 \| good	8.031 \| good	35.563 \| good	20.441 \| good	2.002 \| good	5.542 \| good	0.176 \| good
2025-10-22T08:00:00.000Z	33 \| good	6.054 \| good	26.848 \| good	24.618 \| good	2.373 \| good	4.195 \| good	0.158 \| good
2025-10-22T09:00:00.000Z	33 \| good	5.939 \| good	26.86 \| good	25.211 \| good	2.745 \| good	2.848 \| good	0.14 \| good
2025-10-22T10:00:00.000Z	33 \| good	5.683 \| good	24.323 \| good	17.457 \| good	2.789 \| good	3.929 \| good	0.144 \| good
2025-10-22T11:00:00.000Z	22 \| good	3.933 \| good	17.352 \| good	8.422 \| good	2.834 \| good	5.011 \| good	0.149 \| good
2025-10-22T12:00:00.000Z	22 \| good	4.38 \| good	19.264 \| good	18.507 \| good	2.879 \| good	6.093 \| good	0.153 \| good
2025-10-22T13:00:00.000Z	27 \| good	4.565 \| good	19.506 \| good	28.366 \| good	2.802 \| good	4.741 \| good	0.144 \| good
2025-10-22T14:00:00.000Z	31 \| good	4.851 \| good	21.029 \| good	33.802 \| good	2.725 \| good	3.388 \| good	0.136 \| good
2025-10-22T15:00:00.000Z	33 \| good	5.471 \| good	23.193 \| good	36.481 \| good	2.648 \| good	2.036 \| good	0.127 \| good
2025-10-22T16:00:00.000Z	34 \| good	4.93 \| good	21.193 \| good	37.288 \| good	2.462 \| good	1.931 \| good	0.125 \| good
2025-10-22T17:00:00.000Z	34 \| good	3.046 \| good	12.289 \| good	37.236 \| good	2.276 \| good	1.827 \| good	0.123 \| good
2025-10-22T18:00:00.000Z	36 \| good	3.728 \| good	16.086 \| good	39.222 \| good	2.089 \| good	1.722 \| good	0.121 \| good
2025-10-22T19:00:00.000Z	38 \| good	3.375 \| good	15.054 \| good	40.805 \| good	2.067 \| good	2.262 \| good	0.126 \| good
2025-10-22T20:00:00.000Z	36 \| good	4.047 \| good	17.919 \| good	39.213 \| good	2.044 \| good	2.801 \| good	0.131 \| good
2025-10-22T21:00:00.000Z	35 \| good	4.848 \| good	21.043 \| good	37.67 \| good	2.021 \| good	3.341 \| good	0.135 \| good
2025-10-22T22:00:00.000Z	33 \| good	3.06 \| good	12.608 \| good	36.466 \| good	2.106 \| good	4.827 \| good	0.146 \| good
2025-10-22T23:00:00.000Z	31 \| good	3.572 \| good	15.807 \| good	34.102 \| good	2.19 \| good	6.314 \| good	0.156 \| good
2025-10-23T00:00:00.000Z	31 \| good	4.44 \| good	19.229 \| good	32.71 \| good	2.274 \| good	7.801 \| good	0.167 \| good
2025-10-23T01:00:00.000Z	33 \| good	6.128 \| good	27.105 \| good	26.477 \| good	2.405 \| good	7.005 \| good	0.159 \| good
2025-10-23T02:00:00.000Z	33 \| good	6.109 \| good	26.845 \| good	20.909 \| good	2.536 \| good	6.209 \| good	0.152 \| good
2025-10-23T03:00:00.000Z	38 \| good	6.913 \| good	30.369 \| good	18.862 \| good	2.666 \| good	5.413 \| good	0.145 \| good
2025-10-23T04:00:00.000Z	33 \| good	6.356 \| good	28.061 \| good	16.523 \| good	2.608 \| good	5.249 \| good	0.145 \| good
2025-10-23T05:00:00.000Z	38 \| good	7.028 \| good	31.051 \| good	18.361 \| good	2.55 \| good	5.086 \| good	0.144 \| good
2025-10-23T06:00:00.000Z	33 \| good	5.629 \| good	5.636 \| good	23.707 \| good	2.505 \| good	4.908 \| good	0.144 \| good
2025-10-23T07:00:00.000Z	33 \| good	6.303 \| good	28.132 \| good	20.519 \| good	2.294 \| good	4.411 \| good	0.141 \| good
2025-10-23T08:00:00.000Z	33 \| good	6.227 \| good	27.666 \| good	16.477 \| good	2.097 \| good	3.901 \| good	0.138 \| good
2025-10-23T09:00:00.000Z	38 \| good	6.745 \| good	30.149 \| good	11.502 \| good	1.899 \| good	3.391 \| good	0.135 \| good
2025-10-23T10:00:00.000Z	38 \| good	6.886 \| good	30.409 \| good	7.757 \| good	1.938 \| good	4.182 \| good	0.141 \| good
2025-10-23T11:00:00.000Z	33 \| good	5.895 \| good	25.575 \| good	6.745 \| good	1.978 \| good	4.974 \| good	0.148 \| good

Germantown

Empower business decisions with accurate air quality data

Germantown, Maryland air quality map: Real-time AQI near you

0.17ppm

How accurate is Maryland, USA air quality data?

Air quality measurements for Maryland, 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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Check live rankings of places in the USA affected by air pollution.

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Frequently asked questions

How frequently is the air quality data for Germantown, Maryland updated?

Air quality data for Germantown, Maryland is updated on an hourly basis.

When did Germantown, Maryland experience the worst air quality in the last 24 hours?

The worst air quality in Germantown, Maryland was recorded at 03:00:00 on 2025-10-21.

When did Germantown, Maryland have its best air quality in the last 24 hours?

The best air quality in Germantown, Maryland was recorded at 05:00:00 on 2025-10-21.

What is the real-time air quality index for Germantown, Maryland?

The real-time air quality index in Germantown, Maryland is 27, currently categorized as Good.

Which pollutant is found most often in Germantown, Maryland?

The most common pollutant in Germantown, Maryland is PM2.5.

What can I do if the air quality in Germantown, Maryland is poor?

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

What are the current PM_2.5 levels in Germantown, Maryland?

The measured PM_2.5 levels in Germantown, Maryland at present are 4.558 μg/m³.

What are the current PM₁₀ levels at Germantown, Maryland?

The current PM₁₀ levels in Germantown, Maryland are 17.197 μg/m³.

What are the current carbon monoxide (CO) levels at Germantown, Maryland?

The current carbon monoxide (CO) level in Germantown, Maryland is 0.362 ppm.

What are the current sulfur dioxide (SO₂) levels at Germantown, Maryland?

The current sulfur dioxide (SO₂) levels in Germantown, Maryland are 0.382 ppb.

What are the current ozone (O₃) levels at Germantown, Maryland?

The current ozone (O₃) levels at Germantown, Maryland is 3.581 ppm.

What are the current nitrogen dioxide (NO₂) levels at Germantown, Maryland?

The current nitrogen dioxide (NO₂) levels at Germantown, Maryland is 14.958 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T12:00:00.000Z	38 \| good	6.558 \| good	29.667 \| good	9.584 \| good	0.136 \| good	8.018 \| good	0.31 \| good
2025-10-19T13:00:00.000Z	33 \| good	6.494 \| good	29.065 \| good	9.456 \| good	0.16 \| good	7.681 \| good	0.325 \| good
2025-10-19T14:00:00.000Z	38 \| good	7.202 \| good	31.853 \| good	19.159 \| good	0.155 \| good	6.282 \| good	0.321 \| good
2025-10-19T15:00:00.000Z	49 \| good	9.02 \| good	39.655 \| good	26.734 \| good	0.254 \| good	4.779 \| good	0.258 \| good
2025-10-19T16:00:00.000Z	52 \| moderate	9.543 \| good	42.006 \| good	32.232 \| good	0.334 \| good	3.697 \| good	0.236 \| good
2025-10-19T17:00:00.000Z	49 \| good	9.348 \| good	40.769 \| good	35.561 \| good	0.334 \| good	2.84 \| good	0.236 \| good
2025-10-19T18:00:00.000Z	49 \| good	8.641 \| good	37.538 \| good	38.603 \| good	0.284 \| good	2.466 \| good	0.189 \| good
2025-10-19T19:00:00.000Z	38 \| good	7.415 \| good	32.239 \| good	40.727 \| good	0.29 \| good	2.279 \| good	0.236 \| good
2025-10-19T20:00:00.000Z	39 \| good	7.237 \| good	31.921 \| good	41.864 \| good	0.265 \| good	1.896 \| good	0.215 \| good
2025-10-19T21:00:00.000Z	44 \| good	8.087 \| good	35.498 \| good	43.506 \| good	0.248 \| good	2.209 \| good	0.189 \| good
2025-10-19T22:00:00.000Z	44 \| good	8.186 \| good	35.686 \| good	44.429 \| good	0.256 \| good	2.516 \| good	0.189 \| good
2025-10-19T23:00:00.000Z	38 \| good	6.773 \| good	29.86 \| good	39.834 \| good	0.271 \| good	2.527 \| good	0.189 \| good
2025-10-20T00:00:00.000Z	33 \| good	5.504 \| good	23.605 \| good	36.172 \| good	0.244 \| good	2.835 \| good	0.189 \| good
2025-10-20T01:00:00.000Z	32 \| good	4.746 \| good	20.996 \| good	35.35 \| good	0.198 \| good	3.259 \| good	0.205 \| good
2025-10-20T02:00:00.000Z	37 \| good	4.398 \| good	18.883 \| good	39.577 \| good	0.222 \| good	2.459 \| good	0.205 \| good
2025-10-20T03:00:00.000Z	34 \| good	3.356 \| good	14.658 \| good	36.763 \| good	0.191 \| good	2.33 \| good	0.157 \| good
2025-10-20T04:00:00.000Z	34 \| good	3.331 \| good	14.514 \| good	36.816 \| good	0.172 \| good	2.07 \| good	0.157 \| good
2025-10-20T05:00:00.000Z	28 \| good	1.662 \| good	6.754 \| good	29.948 \| good	0.21 \| good	2.221 \| good	0.157 \| good
2025-10-20T06:00:00.000Z	28 \| good	1.352 \| good	5.665 \| good	29.7 \| good	0.14 \| good	2.927 \| good	0.157 \| good
2025-10-20T07:00:00.000Z	28 \| good	1.33 \| good	5.472 \| good	29.608 \| good	0.159 \| good	2.285 \| good	0.157 \| good
2025-10-20T08:00:00.000Z	20 \| good	2.645 \| good	11.37 \| good	22.328 \| good	0.142 \| good	3.213 \| good	0.157 \| good
2025-10-20T09:00:00.000Z	19 \| good	3.045 \| good	13.269 \| good	21.023 \| good	0.156 \| good	3.434 \| good	0.175 \| good
2025-10-20T10:00:00.000Z	22 \| good	2.486 \| good	10.107 \| good	23.635 \| good	0.159 \| good	2.352 \| good	0.157 \| good
2025-10-20T11:00:00.000Z	23 \| good	1.655 \| good	7.269 \| good	25.023 \| good	0.16 \| good	4.079 \| good	0.152 \| good
2025-10-20T12:00:00.000Z	23 \| good	1.381 \| good	5.902 \| good	25.348 \| good	0.173 \| good	4.368 \| good	0.126 \| good
2025-10-20T13:00:00.000Z	23 \| good	1.361 \| good	5.986 \| good	25.336 \| good	0.15 \| good	6.192 \| good	0.168 \| good
2025-10-20T14:00:00.000Z	27 \| good	4.62 \| good	19.719 \| good	22.72 \| good	0.166 \| good	5.96 \| good	0.183 \| good
2025-10-20T15:00:00.000Z	27 \| good	5.088 \| good	22.012 \| good	27.225 \| good	0.2 \| good	3.064 \| good	0.142 \| good
2025-10-20T16:00:00.000Z	27 \| good	4.329 \| good	19.105 \| good	29.118 \| good	0.229 \| good	2.152 \| good	0.126 \| good
2025-10-20T17:00:00.000Z	28 \| good	3.25 \| good	14.702 \| good	30.003 \| good	0.185 \| good	1.888 \| good	0.148 \| good
2025-10-20T18:00:00.000Z	29 \| good	2.535 \| good	10.914 \| good	31.114 \| good	0.181 \| good	1.626 \| good	0.142 \| good
2025-10-20T19:00:00.000Z	28 \| good	2.667 \| good	11.384 \| good	29.65 \| good	0.162 \| good	1.595 \| good	0.142 \| good
2025-10-20T20:00:00.000Z	28 \| good	2.357 \| good	10.069 \| good	30.363 \| good	0.168 \| good	1.659 \| good	0.142 \| good
2025-10-20T21:00:00.000Z	29 \| good	2.077 \| good	8.506 \| good	31.145 \| good	0.145 \| good	1.723 \| good	0.142 \| good
2025-10-20T22:00:00.000Z	28 \| good	1.694 \| good	7.368 \| good	29.6 \| good	0.169 \| good	3.937 \| good	0.142 \| good
2025-10-20T23:00:00.000Z	27 \| good	0.655 \| good	2.6 \| good	28.674 \| good	0.164 \| good	6.647 \| good	0.142 \| good
2025-10-21T00:00:00.000Z	26 \| good	0.501 \| good	1.928 \| good	28.461 \| good	0.146 \| good	8.045 \| good	0.142 \| good
2025-10-21T01:00:00.000Z	26 \| good	1.307 \| good	5.528 \| good	28.268 \| good	0.164 \| good	12.859 \| good	0.178 \| good
2025-10-21T02:00:00.000Z	22 \| good	2.178 \| good	9.105 \| good	23.571 \| good	0.143 \| good	13.865 \| good	0.263 \| good
2025-10-21T03:00:00.000Z	33 \| good	6.393 \| good	28.144 \| good	15.803 \| good	1.824 \| good	14.913 \| good	0.218 \| good
2025-10-21T04:00:00.000Z	22 \| good	3.851 \| good	16.727 \| good	10.824 \| good	0.191 \| good	14.686 \| good	0.322 \| good
2025-10-21T05:00:00.000Z	16 \| good	3.478 \| good	15.627 \| good	7.017 \| good	0.176 \| good	16.155 \| good	0.353 \| good
2025-10-21T06:00:00.000Z	22 \| good	4.25 \| good	18.774 \| good	4.564 \| good	0.168 \| good	15.278 \| good	0.358 \| good
2025-10-21T07:00:00.000Z	22 \| good	4.234 \| good	18.68 \| good	4.427 \| good	0.163 \| good	14.554 \| good	0.331 \| good
2025-10-21T08:00:00.000Z	22 \| good	3.577 \| good	15.766 \| good	1.726 \| good	0.227 \| good	13.551 \| good	0.332 \| good
2025-10-21T09:00:00.000Z	27 \| good	4.665 \| good	20.197 \| good	4.532 \| good	0.229 \| good	13.23 \| good	0.343 \| good
2025-10-21T10:00:00.000Z	27 \| good	4.774 \| good	20.729 \| good	2.871 \| good	0.336 \| good	15.612 \| good	0.343 \| good
2025-10-21T11:00:00.000Z	27 \| good	4.573 \| good	19.78 \| good	1.28 \| good	0.344 \| good	14.692 \| good	0.365 \| good
2025-10-21T11:00:00.000Z	27 \| good	4.558 \| good	17.197 \| good	3.581 \| good	0.382 \| good	14.958 \| good	0.362 \| good
2025-10-21T12:00:00.000Z	38 \| good	7.153 \| good	31.87 \| good	3.01 \| good	2.69 \| good	15.982 \| good	0.256 \| good
2025-10-21T13:00:00.000Z	33 \| good	6.041 \| good	26.837 \| good	5.953 \| good	2.554 \| good	13.463 \| good	0.249 \| good
2025-10-21T14:00:00.000Z	33 \| good	6.192 \| good	27.072 \| good	19.629 \| good	2.419 \| good	10.944 \| good	0.241 \| good
2025-10-21T15:00:00.000Z	38 \| good	7.218 \| good	32 \| good	29.339 \| good	2.283 \| good	8.425 \| good	0.233 \| good
2025-10-21T16:00:00.000Z	38 \| good	7.437 \| good	32.931 \| good	36.658 \| good	2.153 \| good	6.708 \| good	0.217 \| good
2025-10-21T17:00:00.000Z	41 \| good	5.612 \| good	23.951 \| good	43.695 \| good	2.023 \| good	4.991 \| good	0.201 \| good
2025-10-21T18:00:00.000Z	44 \| good	6.582 \| good	29.167 \| good	48.441 \| good	1.893 \| good	3.274 \| good	0.185 \| good
2025-10-21T19:00:00.000Z	44 \| good	6.708 \| good	29.884 \| good	48.413 \| good	1.797 \| good	3.621 \| good	0.184 \| good
2025-10-21T20:00:00.000Z	45 \| good	6.729 \| good	30 \| good	49.248 \| good	1.701 \| good	3.968 \| good	0.183 \| good
2025-10-21T21:00:00.000Z	44 \| good	7.539 \| good	33.183 \| good	45.409 \| good	1.606 \| good	4.316 \| good	0.182 \| good
2025-10-21T22:00:00.000Z	36 \| good	6.319 \| good	28.142 \| good	38.998 \| good	1.698 \| good	8.957 \| good	0.215 \| good
2025-10-21T23:00:00.000Z	33 \| good	5.97 \| good	25.952 \| good	33.136 \| good	1.789 \| good	13.599 \| good	0.248 \| good
2025-10-22T00:00:00.000Z	32 \| good	2.032 \| good	8.548 \| good	35.011 \| good	1.881 \| good	18.24 \| good	0.282 \| good
2025-10-22T01:00:00.000Z	22 \| good	3.788 \| good	16.671 \| good	24.287 \| good	1.835 \| good	16.306 \| good	0.265 \| good
2025-10-22T02:00:00.000Z	23 \| good	4.12 \| good	17.793 \| good	24.906 \| good	1.788 \| good	14.371 \| good	0.249 \| good
2025-10-22T03:00:00.000Z	33 \| good	6.113 \| good	27.402 \| good	22.981 \| good	1.742 \| good	12.436 \| good	0.233 \| good
2025-10-22T04:00:00.000Z	49 \| good	8.844 \| good	38.835 \| good	16.928 \| good	1.704 \| good	10.587 \| good	0.22 \| good
2025-10-22T05:00:00.000Z	56 \| moderate	11.542 \| good	51.258 \| good	16.093 \| good	1.667 \| good	8.738 \| good	0.207 \| good
2025-10-22T06:00:00.000Z	54 \| moderate	11.279 \| good	49.965 \| good	14.93 \| good	1.63 \| good	6.889 \| good	0.194 \| good
2025-10-22T07:00:00.000Z	44 \| good	8.031 \| good	35.563 \| good	20.441 \| good	2.002 \| good	5.542 \| good	0.176 \| good
2025-10-22T08:00:00.000Z	33 \| good	6.054 \| good	26.848 \| good	24.618 \| good	2.373 \| good	4.195 \| good	0.158 \| good
2025-10-22T09:00:00.000Z	33 \| good	5.939 \| good	26.86 \| good	25.211 \| good	2.745 \| good	2.848 \| good	0.14 \| good
2025-10-22T10:00:00.000Z	33 \| good	5.683 \| good	24.323 \| good	17.457 \| good	2.789 \| good	3.929 \| good	0.144 \| good
2025-10-22T11:00:00.000Z	22 \| good	3.933 \| good	17.352 \| good	8.422 \| good	2.834 \| good	5.011 \| good	0.149 \| good
2025-10-22T12:00:00.000Z	22 \| good	4.38 \| good	19.264 \| good	18.507 \| good	2.879 \| good	6.093 \| good	0.153 \| good
2025-10-22T13:00:00.000Z	27 \| good	4.565 \| good	19.506 \| good	28.366 \| good	2.802 \| good	4.741 \| good	0.144 \| good
2025-10-22T14:00:00.000Z	31 \| good	4.851 \| good	21.029 \| good	33.802 \| good	2.725 \| good	3.388 \| good	0.136 \| good
2025-10-22T15:00:00.000Z	33 \| good	5.471 \| good	23.193 \| good	36.481 \| good	2.648 \| good	2.036 \| good	0.127 \| good
2025-10-22T16:00:00.000Z	34 \| good	4.93 \| good	21.193 \| good	37.288 \| good	2.462 \| good	1.931 \| good	0.125 \| good
2025-10-22T17:00:00.000Z	34 \| good	3.046 \| good	12.289 \| good	37.236 \| good	2.276 \| good	1.827 \| good	0.123 \| good
2025-10-22T18:00:00.000Z	36 \| good	3.728 \| good	16.086 \| good	39.222 \| good	2.089 \| good	1.722 \| good	0.121 \| good
2025-10-22T19:00:00.000Z	38 \| good	3.375 \| good	15.054 \| good	40.805 \| good	2.067 \| good	2.262 \| good	0.126 \| good
2025-10-22T20:00:00.000Z	36 \| good	4.047 \| good	17.919 \| good	39.213 \| good	2.044 \| good	2.801 \| good	0.131 \| good
2025-10-22T21:00:00.000Z	35 \| good	4.848 \| good	21.043 \| good	37.67 \| good	2.021 \| good	3.341 \| good	0.135 \| good
2025-10-22T22:00:00.000Z	33 \| good	3.06 \| good	12.608 \| good	36.466 \| good	2.106 \| good	4.827 \| good	0.146 \| good
2025-10-22T23:00:00.000Z	31 \| good	3.572 \| good	15.807 \| good	34.102 \| good	2.19 \| good	6.314 \| good	0.156 \| good
2025-10-23T00:00:00.000Z	31 \| good	4.44 \| good	19.229 \| good	32.71 \| good	2.274 \| good	7.801 \| good	0.167 \| good
2025-10-23T01:00:00.000Z	33 \| good	6.128 \| good	27.105 \| good	26.477 \| good	2.405 \| good	7.005 \| good	0.159 \| good
2025-10-23T02:00:00.000Z	33 \| good	6.109 \| good	26.845 \| good	20.909 \| good	2.536 \| good	6.209 \| good	0.152 \| good
2025-10-23T03:00:00.000Z	38 \| good	6.913 \| good	30.369 \| good	18.862 \| good	2.666 \| good	5.413 \| good	0.145 \| good
2025-10-23T04:00:00.000Z	33 \| good	6.356 \| good	28.061 \| good	16.523 \| good	2.608 \| good	5.249 \| good	0.145 \| good
2025-10-23T05:00:00.000Z	38 \| good	7.028 \| good	31.051 \| good	18.361 \| good	2.55 \| good	5.086 \| good	0.144 \| good
2025-10-23T06:00:00.000Z	33 \| good	5.629 \| good	5.636 \| good	23.707 \| good	2.505 \| good	4.908 \| good	0.144 \| good
2025-10-23T07:00:00.000Z	33 \| good	6.303 \| good	28.132 \| good	20.519 \| good	2.294 \| good	4.411 \| good	0.141 \| good
2025-10-23T08:00:00.000Z	33 \| good	6.227 \| good	27.666 \| good	16.477 \| good	2.097 \| good	3.901 \| good	0.138 \| good
2025-10-23T09:00:00.000Z	38 \| good	6.745 \| good	30.149 \| good	11.502 \| good	1.899 \| good	3.391 \| good	0.135 \| good
2025-10-23T10:00:00.000Z	38 \| good	6.886 \| good	30.409 \| good	7.757 \| good	1.938 \| good	4.182 \| good	0.141 \| good
2025-10-23T11:00:00.000Z	33 \| good	5.895 \| good	25.575 \| good	6.745 \| good	1.978 \| good	4.974 \| good	0.148 \| good

Real-time air quality index in Germantown, Maryland today

Common air pollutants in Germantown, Maryland

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Germantown, Maryland air quality forecast and history

Empower business decisions with accurate air quality data

Germantown, Maryland air quality map: Real-time AQI near you

Air quality in nearby cities

Montgomery Village, Maryland

Clarksburg, Maryland

Gaithersburg, Maryland

Flower Hill, Maryland

North Potomac, Maryland

Redland, Maryland

How accurate is Maryland, USA air quality data?

Air quality levels in US

Frequently asked questions

How frequently is the air quality data for Germantown, Maryland updated?

When did Germantown, Maryland experience the worst air quality in the last 24 hours?

When did Germantown, Maryland have its best air quality in the last 24 hours?

What is the real-time air quality index for Germantown, Maryland?

Which pollutant is found most often in Germantown, Maryland?

What can I do if the air quality in Germantown, Maryland is poor?

What are the current PM2.5 levels in Germantown, Maryland?

What are the current PM10 levels at Germantown, Maryland?

What are the current carbon monoxide (CO) levels at Germantown, Maryland?

What are the current sulfur dioxide (SO2) levels at Germantown, Maryland?

What are the current ozone (O3) levels at Germantown, Maryland?

What are the current nitrogen dioxide (NO2) levels at Germantown, Maryland?

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 Germantown, Maryland?

What are the current PM₁₀ levels at Germantown, Maryland?

What are the current sulfur dioxide (SO₂) levels at Germantown, Maryland?

What are the current ozone (O₃) levels at Germantown, Maryland?

What are the current nitrogen dioxide (NO₂) levels at Germantown, Maryland?