What are the current PM10 levels at Germantown, Maryland?

The current PM10 levels in Germantown, Maryland are 22.436 μg/m3.

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

The current sulfur dioxide (SO2) levels in Germantown, Maryland are 0.399 ppb.

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

The current ozone (O3) levels at Germantown, Maryland is 17.503 ppm.

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

The current nitrogen dioxide (NO2) levels at Germantown, Maryland is 5.499 ppb.

Real-time air quality index in Germantown, Maryland today

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

The measured PM2.5 levels in Germantown, Maryland at present are 6.145 μg/m3.

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)

6.14 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

22.44 μg/m³

155

255

425

605+

Ozone (O₃)

17.50 ppb

201

201+

Sulfur Dioxide (SO₂)

0.40 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

5.50 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.18 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Looks like we don't have this data available right now

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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
2026-03-10T11:00:00.000Z	27 \| good	5.413 \| good	17.101 \| good	15.788 \| good	0.355 \| good	18.342 \| good	0.423 \| good
2026-03-10T12:00:00.000Z	33 \| good	6.474 \| good	19.9 \| good	4.391 \| good	0.368 \| good	18.618 \| good	0.517 \| good
2026-03-10T13:00:00.000Z	38 \| good	7.199 \| good	32.975 \| good	5.648 \| good	0.422 \| good	21.408 \| good	0.565 \| good
2026-03-10T14:00:00.000Z	44 \| good	7.604 \| good	30.56 \| good	6.578 \| good	0.62 \| good	24.199 \| good	0.812 \| good
2026-03-10T15:00:00.000Z	52 \| moderate	10.269 \| good	47.734 \| good	11.684 \| good	0.78 \| good	24.111 \| good	0.641 \| good
2026-03-10T16:00:00.000Z	49 \| good	8.943 \| good	46.643 \| good	15.173 \| good	0.869 \| good	25.125 \| good	0.527 \| good
2026-03-10T17:00:00.000Z	27 \| good	5.218 \| good	21.95 \| good	25.112 \| good	0.796 \| good	21.005 \| good	0.37 \| good
2026-03-10T18:00:00.000Z	31 \| good	4.246 \| good	16.825 \| good	33.924 \| good	0.436 \| good	13.812 \| good	0.227 \| good
2026-03-10T19:00:00.000Z	37 \| good	4.179 \| good	24.721 \| good	40.454 \| good	0.418 \| good	7.81 \| good	0.173 \| good
2026-03-10T20:00:00.000Z	38 \| good	5.202 \| good	20.004 \| good	41.146 \| good	0.389 \| good	6.03 \| good	0.173 \| good
2026-03-10T21:00:00.000Z	41 \| good	4.698 \| good	22.824 \| good	44.484 \| good	0.436 \| good	3.966 \| good	0.214 \| good
2026-03-10T22:00:00.000Z	38 \| good	3.947 \| good	17.601 \| good	41.472 \| good	0.48 \| good	5.622 \| good	0.178 \| good
2026-03-10T23:00:00.000Z	45 \| good	3.603 \| good	16.18 \| good	48.549 \| good	0.475 \| good	7.656 \| good	0.183 \| good
2026-03-11T00:00:00.000Z	35 \| good	4.033 \| good	16.213 \| good	37.742 \| good	0.455 \| good	8.162 \| good	0.204 \| good
2026-03-11T01:00:00.000Z	35 \| good	5.582 \| good	27.668 \| good	37.846 \| good	0.407 \| good	11.064 \| good	0.223 \| good
2026-03-11T02:00:00.000Z	38 \| good	7.282 \| good	32.831 \| good	37.451 \| good	0.407 \| good	16.662 \| good	0.284 \| good
2026-03-11T03:00:00.000Z	44 \| good	8.291 \| good	35.379 \| good	26.015 \| good	0.41 \| good	20.747 \| good	0.261 \| good
2026-03-11T04:00:00.000Z	44 \| good	7.876 \| good	35.12 \| good	20.708 \| good	0.448 \| good	17.831 \| good	0.243 \| good
2026-03-11T05:00:00.000Z	54 \| moderate	11.256 \| good	54.317 \| good	26.064 \| good	0.364 \| good	13.016 \| good	0.204 \| good
2026-03-11T06:00:00.000Z	58 \| moderate	13.142 \| fine	62.289 \| fine	27.809 \| good	0.4 \| good	13.682 \| good	0.206 \| good
2026-03-11T07:00:00.000Z	58 \| moderate	12.907 \| fine	45.098 \| good	31.853 \| good	0.388 \| good	13.71 \| good	0.225 \| good
2026-03-11T08:00:00.000Z	54 \| moderate	10.873 \| good	38.825 \| good	21.248 \| good	0.347 \| good	15.832 \| good	0.224 \| good
2026-03-11T09:00:00.000Z	56 \| moderate	11.862 \| good	45.49 \| good	23.564 \| good	0.354 \| good	15.175 \| good	0.224 \| good
2026-03-11T10:00:00.000Z	58 \| moderate	12.808 \| fine	59.123 \| fine	26.59 \| good	0.326 \| good	17.045 \| good	0.243 \| good
2026-03-11T11:00:00.000Z	60 \| moderate	14.353 \| fine	55.911 \| fine	21.009 \| good	0.379 \| good	18.198 \| good	0.3 \| good
2026-03-11T12:00:00.000Z	60 \| moderate	13.564 \| fine	56.406 \| fine	17.072 \| good	0.398 \| good	19.246 \| good	0.324 \| good
2026-03-11T13:00:00.000Z	58 \| moderate	13.343 \| fine	57.997 \| fine	11.776 \| good	0.397 \| good	23.806 \| good	0.366 \| good
2026-03-11T14:00:00.000Z	52 \| moderate	10.056 \| good	40.496 \| good	18.336 \| good	0.456 \| good	18.2 \| good	0.324 \| good
2026-03-11T15:00:00.000Z	49 \| good	9.394 \| good	35.272 \| good	19.509 \| good	0.46 \| good	13.814 \| good	0.247 \| good
2026-03-11T16:00:00.000Z	56 \| moderate	11.647 \| good	56.081 \| fine	26.991 \| good	0.494 \| good	15.812 \| good	0.229 \| good
2026-03-11T17:00:00.000Z	52 \| moderate	10.121 \| good	41.652 \| good	18.87 \| good	0.475 \| good	12.36 \| good	0.247 \| good
2026-03-11T18:00:00.000Z	54 \| moderate	11.171 \| good	49.948 \| good	19.259 \| good	0.469 \| good	7.897 \| good	0.208 \| good
2026-03-11T19:00:00.000Z	52 \| moderate	9.761 \| good	47.254 \| good	26.8 \| good	0.52 \| good	6.638 \| good	0.186 \| good
2026-03-11T20:00:00.000Z	58 \| moderate	12.664 \| fine	52.493 \| good	28.415 \| good	0.503 \| good	7.203 \| good	0.186 \| good
2026-03-11T21:00:00.000Z	54 \| moderate	11.106 \| good	52.605 \| good	37.793 \| good	0.548 \| good	5.494 \| good	0.204 \| good
2026-03-11T22:00:00.000Z	44 \| good	7.565 \| good	30.479 \| good	37.865 \| good	0.505 \| good	4.173 \| good	0.222 \| good
2026-03-11T23:00:00.000Z	33 \| good	5.992 \| good	19.585 \| good	33.03 \| good	0.534 \| good	6.181 \| good	0.243 \| good
2026-03-12T00:00:00.000Z	29 \| good	5.272 \| good	22.106 \| good	30.968 \| good	0.538 \| good	7.496 \| good	0.225 \| good
2026-03-12T01:00:00.000Z	27 \| good	4.852 \| good	21.603 \| good	26.746 \| good	0.493 \| good	9.778 \| good	0.225 \| good
2026-03-12T02:00:00.000Z	33 \| good	5.958 \| good	23.094 \| good	23.221 \| good	0.521 \| good	9.512 \| good	0.309 \| good
2026-03-12T03:00:00.000Z	27 \| good	3.694 \| good	12.583 \| good	28.687 \| good	0.466 \| good	13.706 \| good	0.297 \| good
2026-03-12T04:00:00.000Z	27 \| good	5.301 \| good	22.239 \| good	23.693 \| good	0.464 \| good	11.447 \| good	0.302 \| good
2026-03-12T05:00:00.000Z	38 \| good	6.59 \| good	17.919 \| good	26.529 \| good	0.448 \| good	6.766 \| good	0.202 \| good
2026-03-12T06:00:00.000Z	44 \| good	8.431 \| good	35.014 \| good	29.276 \| good	0.358 \| good	4.292 \| good	0.174 \| good
2026-03-12T07:00:00.000Z	38 \| good	7.117 \| good	37.86 \| good	18.501 \| good	0.386 \| good	3.695 \| good	0.126 \| good
2026-03-12T08:00:00.000Z	44 \| good	7.806 \| good	26.42 \| good	20.649 \| good	0.385 \| good	3.929 \| good	0.181 \| good
2026-03-12T09:00:00.000Z	33 \| good	6.145 \| good	22.436 \| good	17.503 \| good	0.399 \| good	5.499 \| good	0.181 \| good
2026-03-12T10:00:00.000Z	33 \| good	6.145 \| good	22.436 \| good	17.503 \| good	0.399 \| good	5.499 \| good	0.181 \| good
2026-03-12T11:00:00.000Z	19 \| good	1.564 \| good	6.215 \| good	21.239 \| good	1.329 \| good	3.121 \| good	0.163 \| good
2026-03-12T12:00:00.000Z	25 \| good	3.566 \| good	15.644 \| good	27.349 \| good	1.494 \| good	3.624 \| good	0.182 \| good
2026-03-12T13:00:00.000Z	25 \| good	3.154 \| good	13.469 \| good	27.381 \| good	1.4 \| good	4.022 \| good	0.177 \| good
2026-03-12T14:00:00.000Z	28 \| good	2.599 \| good	10.504 \| good	29.649 \| good	1.306 \| good	4.421 \| good	0.172 \| good
2026-03-12T15:00:00.000Z	28 \| good	2.892 \| good	11.777 \| good	29.975 \| good	1.211 \| good	4.82 \| good	0.168 \| good
2026-03-12T16:00:00.000Z	31 \| good	1.783 \| good	7.211 \| good	32.505 \| good	1.264 \| good	5.213 \| good	0.174 \| good
2026-03-12T17:00:00.000Z	30 \| good	2.126 \| good	8.567 \| good	32.347 \| good	1.318 \| good	5.606 \| good	0.181 \| good
2026-03-12T18:00:00.000Z	31 \| good	2.834 \| good	11.77 \| good	32.525 \| good	1.371 \| good	5.998 \| good	0.188 \| good
2026-03-12T19:00:00.000Z	31 \| good	2.746 \| good	11.25 \| good	33.021 \| good	1.5 \| good	4.789 \| good	0.177 \| good
2026-03-12T20:00:00.000Z	31 \| good	2.034 \| good	8.468 \| good	33.559 \| good	1.629 \| good	3.58 \| good	0.167 \| good
2026-03-12T21:00:00.000Z	31 \| good	1.4 \| good	5.534 \| good	34.429 \| good	1.758 \| good	2.371 \| good	0.156 \| good
2026-03-12T22:00:00.000Z	33 \| good	0.778 \| good	2.947 \| good	35.688 \| good	1.635 \| good	3.341 \| good	0.159 \| good
2026-03-12T23:00:00.000Z	31 \| good	0.456 \| good	1.547 \| good	33.688 \| good	1.512 \| good	4.312 \| good	0.161 \| good
2026-03-13T00:00:00.000Z	26 \| good	0.558 \| good	2.287 \| good	27.634 \| good	1.389 \| good	5.282 \| good	0.164 \| good
2026-03-13T01:00:00.000Z	24 \| good	0.817 \| good	3.066 \| good	26.097 \| good	1.433 \| good	6.539 \| good	0.173 \| good
2026-03-13T02:00:00.000Z	19 \| good	1.57 \| good	6.402 \| good	21.057 \| good	1.477 \| good	7.796 \| good	0.181 \| good
2026-03-13T03:00:00.000Z	15 \| good	2.296 \| good	9.401 \| good	15.554 \| good	1.521 \| good	9.053 \| good	0.19 \| good
2026-03-13T04:00:00.000Z	22 \| good	3.504 \| good	15.435 \| good	12.695 \| good	1.641 \| good	12.492 \| good	0.214 \| good
2026-03-13T05:00:00.000Z	22 \| good	3.83 \| good	16.827 \| good	12.384 \| good	1.762 \| good	15.931 \| good	0.238 \| good
2026-03-13T06:00:00.000Z	22 \| good	3.773 \| good	16.587 \| good	11.945 \| good	1.882 \| good	19.369 \| good	0.262 \| good
2026-03-13T07:00:00.000Z	16 \| good	3.366 \| good	14.716 \| good	12.407 \| good	1.928 \| good	17.086 \| good	0.246 \| good
2026-03-13T08:00:00.000Z	27 \| good	5.42 \| good	23.499 \| good	11.994 \| good	1.974 \| good	14.802 \| good	0.23 \| good
2026-03-13T09:00:00.000Z	22 \| good	3.996 \| good	17.358 \| good	12.516 \| good	2.02 \| good	12.519 \| good	0.214 \| good
2026-03-13T10:00:00.000Z	22 \| good	3.97 \| good	17.353 \| good	13.802 \| good	2.086 \| good	12.014 \| good	0.21 \| good
2026-03-13T11:00:00.000Z	13 \| good	1.92 \| good	7.751 \| good	13.984 \| good	2.152 \| good	11.508 \| good	0.206 \| good
2026-03-13T12:00:00.000Z	22 \| good	4.429 \| good	19.291 \| good	16.906 \| good	2.218 \| good	11.003 \| good	0.201 \| good
2026-03-13T13:00:00.000Z	33 \| good	5.617 \| good	23.97 \| good	23.564 \| good	2.244 \| good	9.595 \| good	0.201 \| good
2026-03-13T14:00:00.000Z	27 \| good	5.208 \| good	22.643 \| good	29.103 \| good	2.27 \| good	8.186 \| good	0.2 \| good
2026-03-13T15:00:00.000Z	32 \| good	3.23 \| good	14.038 \| good	35.221 \| good	2.296 \| good	6.778 \| good	0.199 \| good
2026-03-13T16:00:00.000Z	34 \| good	3.087 \| good	13.15 \| good	37.493 \| good	2.002 \| good	5.235 \| good	0.182 \| good
2026-03-13T17:00:00.000Z	35 \| good	2.574 \| good	10.485 \| good	37.898 \| good	1.709 \| good	3.692 \| good	0.165 \| good
2026-03-13T18:00:00.000Z	36 \| good	3.039 \| good	12.582 \| good	38.566 \| good	1.415 \| good	2.149 \| good	0.147 \| good
2026-03-13T19:00:00.000Z	39 \| good	4.531 \| good	19.853 \| good	42.455 \| good	1.5 \| good	2.107 \| good	0.148 \| good
2026-03-13T20:00:00.000Z	43 \| good	3.11 \| good	13.385 \| good	45.742 \| good	1.586 \| good	2.065 \| good	0.149 \| good
2026-03-13T21:00:00.000Z	45 \| good	4.178 \| good	18.354 \| good	48.559 \| good	1.672 \| good	2.023 \| good	0.15 \| good
2026-03-13T22:00:00.000Z	44 \| good	2.746 \| good	11.192 \| good	48.388 \| good	1.758 \| good	2.865 \| good	0.156 \| good
2026-03-13T23:00:00.000Z	41 \| good	4.5 \| good	19.581 \| good	44.266 \| good	1.843 \| good	3.706 \| good	0.162 \| good
2026-03-14T00:00:00.000Z	36 \| good	5.264 \| good	22.76 \| good	38.749 \| good	1.929 \| good	4.547 \| good	0.168 \| good
2026-03-14T01:00:00.000Z	35 \| good	6.067 \| good	27.289 \| good	37.774 \| good	1.892 \| good	4.794 \| good	0.17 \| good
2026-03-14T02:00:00.000Z	33 \| good	4.96 \| good	21.482 \| good	35.688 \| good	1.855 \| good	5.04 \| good	0.171 \| good
2026-03-14T03:00:00.000Z	33 \| good	5.522 \| good	23.846 \| good	33.511 \| good	1.818 \| good	5.286 \| good	0.172 \| good
2026-03-14T04:00:00.000Z	33 \| good	6.45 \| good	28.914 \| good	31.821 \| good	1.815 \| good	4.874 \| good	0.167 \| good
2026-03-14T05:00:00.000Z	28 \| good	4.656 \| good	20.116 \| good	30.164 \| good	1.811 \| good	4.462 \| good	0.162 \| good
2026-03-14T06:00:00.000Z	36 \| good	4.719 \| good	4.849 \| good	38.589 \| good	1.825 \| good	4.087 \| good	0.157 \| good
2026-03-14T07:00:00.000Z	27 \| good	4.526 \| good	19.836 \| good	26.236 \| good	1.647 \| good	3.493 \| good	0.155 \| good
2026-03-14T08:00:00.000Z	33 \| good	5.9 \| good	25.86 \| good	26.125 \| good	1.488 \| good	2.936 \| good	0.153 \| good
2026-03-14T09:00:00.000Z	38 \| good	6.513 \| good	29.141 \| good	24.456 \| good	1.328 \| good	2.379 \| good	0.151 \| good
2026-03-14T10:00:00.000Z	38 \| good	7.283 \| good	31.911 \| good	24.613 \| good	1.383 \| good	3.548 \| good	0.16 \| good

Germantown

Empower business decisions with accurate air quality data

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

0.19ppm

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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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 12:00:00 on 2026-03-11.

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

The best air quality in Germantown, Maryland was recorded at 04:00:00 on 2026-03-12.

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

The real-time air quality index in Germantown, Maryland is 33, 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 6.145 μg/m³.

What are the current PM₁₀ levels at Germantown, Maryland?

The current PM₁₀ levels in Germantown, Maryland are 22.436 μg/m³.

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

The current carbon monoxide (CO) level in Germantown, Maryland is 0.181 ppm.

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

The current sulfur dioxide (SO₂) levels in Germantown, Maryland are 0.399 ppb.

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

The current ozone (O₃) levels at Germantown, Maryland is 17.503 ppm.

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

The current nitrogen dioxide (NO₂) levels at Germantown, Maryland is 5.499 ppb.

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