What are the current PM10 levels at Germantown, Maryland?

The current PM10 levels in Germantown, Maryland are 34.459 μg/m3.

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

The current sulfur dioxide (SO2) levels in Germantown, Maryland are 0.237 ppb.

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

The current ozone (O3) levels at Germantown, Maryland is 23.984 ppm.

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

The current nitrogen dioxide (NO2) levels at Germantown, Maryland is 5.256 ppb.

Live 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)

Major air pollutants in Germantown, Maryland

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

9.31 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

34.46 μg/m³

155

255

425

605+

Ozone (O₃)

23.98 ppb

201

201+

Sulfur Dioxide (SO₂)

0.24 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

5.26 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.27 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
2025-06-04T07:00:00.000Z	38 \| good	7.385 \| good	30.299 \| good	25.782 \| good	0.292 \| good	8.189 \| good	0.259 \| good
2025-06-04T08:00:00.000Z	44 \| good	7.774 \| good	23.42 \| good	21.61 \| good	0.331 \| good	8.745 \| good	0.239 \| good
2025-06-04T09:00:00.000Z	44 \| good	7.563 \| good	32.31 \| good	19.981 \| good	0.282 \| good	16.118 \| good	0.241 \| good
2025-06-04T10:00:00.000Z	33 \| good	6.369 \| good	29.373 \| good	15.888 \| good	0.347 \| good	10.726 \| good	0.221 \| good
2025-06-04T11:00:00.000Z	38 \| good	7.35 \| good	33.61 \| good	12.99 \| good	0.259 \| good	12.406 \| good	0.317 \| good
2025-06-04T12:00:00.000Z	44 \| good	7.51 \| good	28.418 \| good	22.083 \| good	0.375 \| good	12.308 \| good	0.363 \| good
2025-06-04T13:00:00.000Z	52 \| moderate	9.667 \| good	42.601 \| good	34.033 \| good	2.209 \| good	1.503 \| good	0.236 \| good
2025-06-04T14:00:00.000Z	56 \| moderate	12.05 \| good	51.194 \| good	28.344 \| good	0.374 \| good	10.929 \| good	0.267 \| good
2025-06-04T15:00:00.000Z	56 \| moderate	12.425 \| fine	53.957 \| good	34.57 \| good	0.332 \| good	10.013 \| good	0.265 \| good
2025-06-04T16:00:00.000Z	60 \| moderate	13.994 \| fine	47.366 \| good	42.279 \| good	0.315 \| good	8.647 \| good	0.265 \| good
2025-06-04T17:00:00.000Z	60 \| moderate	13.909 \| fine	41.122 \| good	47.236 \| good	0.309 \| good	8.449 \| good	0.265 \| good
2025-06-04T18:00:00.000Z	58 \| moderate	12.648 \| fine	33.297 \| good	55.77 \| fine	0.28 \| good	4.039 \| good	0.247 \| good
2025-06-04T19:00:00.000Z	71 \| moderate	15.022 \| fine	59.014 \| fine	61.446 \| fine	0.311 \| good	4.037 \| good	0.247 \| good
2025-06-04T20:00:00.000Z	67 \| moderate	13.709 \| fine	51.374 \| good	59.599 \| fine	0.258 \| good	3.284 \| good	0.265 \| good
2025-06-04T21:00:00.000Z	71 \| moderate	13.776 \| fine	55.5 \| fine	61.434 \| fine	0.278 \| good	2.473 \| good	0.245 \| good
2025-06-04T22:00:00.000Z	64 \| moderate	15.468 \| fine	74.92 \| fine	58.803 \| fine	0.249 \| good	3.233 \| good	0.245 \| good
2025-06-04T23:00:00.000Z	66 \| moderate	16.991 \| fine	75.393 \| fine	53.434 \| good	0.225 \| good	5.453 \| good	0.245 \| good
2025-06-05T00:00:00.000Z	64 \| moderate	16.29 \| fine	75.327 \| fine	55.454 \| fine	0.226 \| good	4.293 \| good	0.286 \| good
2025-06-05T01:00:00.000Z	66 \| moderate	16.66 \| fine	71.877 \| fine	55.264 \| fine	0.26 \| good	4.664 \| good	0.304 \| good
2025-06-05T02:00:00.000Z	67 \| moderate	17.674 \| fine	86.215 \| fine	44.396 \| good	0.226 \| good	5.862 \| good	0.304 \| good
2025-06-05T03:00:00.000Z	58 \| moderate	13.334 \| fine	58.177 \| fine	46.119 \| good	0.22 \| good	7.987 \| good	0.304 \| good
2025-06-05T04:00:00.000Z	58 \| moderate	13.487 \| fine	58.359 \| fine	42.074 \| good	0.216 \| good	7.311 \| good	0.284 \| good
2025-06-05T05:00:00.000Z	58 \| moderate	12.934 \| fine	57.462 \| fine	36.257 \| good	0.236 \| good	7.685 \| good	0.321 \| good
2025-06-05T06:00:00.000Z	56 \| moderate	11.663 \| good	34.736 \| good	34.016 \| good	0.214 \| good	10.797 \| good	0.263 \| good
2025-06-05T07:00:00.000Z	49 \| good	9.315 \| good	34.459 \| good	23.984 \| good	0.237 \| good	5.256 \| good	0.265 \| good
2025-06-05T08:00:00.000Z	56 \| moderate	11.596 \| good	36.794 \| good	33.6 \| good	0.513 \| good	6.54 \| good	0.265 \| good
2025-06-05T09:00:00.000Z	56 \| moderate	11.733 \| good	36.469 \| good	33.92 \| good	0.482 \| good	8.887 \| good	0.284 \| good
2025-06-05T10:00:00.000Z	56 \| moderate	11.808 \| good	30.411 \| good	25.043 \| good	0.213 \| good	6.091 \| good	0.282 \| good
2025-06-05T11:00:00.000Z	56 \| moderate	11.939 \| good	47.33 \| good	16.922 \| good	0.302 \| good	7.605 \| good	0.243 \| good
2025-06-05T12:00:00.000Z	56 \| moderate	11.587 \| good	49.378 \| good	23.577 \| good	0.315 \| good	9.206 \| good	0.308 \| good
2025-06-05T13:00:00.000Z	56 \| moderate	12.07 \| good	50.24 \| good	29.114 \| good	0.305 \| good	6.545 \| good	0.247 \| good
2025-06-05T14:00:00.000Z	56 \| moderate	11.742 \| good	48.86 \| good	35.087 \| good	0.258 \| good	8.289 \| good	0.247 \| good
2025-06-05T15:00:00.000Z	56 \| moderate	12.439 \| fine	52.555 \| good	34.427 \| good	0.402 \| good	8.925 \| good	0.247 \| good
2025-06-05T16:00:00.000Z	62 \| moderate	14.622 \| fine	64.698 \| fine	37.605 \| good	0.355 \| good	7.905 \| good	0.247 \| good
2025-06-05T17:00:00.000Z	64 \| moderate	15.598 \| fine	74.73 \| fine	46.633 \| good	0.356 \| good	5.859 \| good	0.247 \| good
2025-06-05T18:00:00.000Z	75 \| moderate	18.645 \| fine	103.286 \| fine	53.865 \| good	0.311 \| good	3.416 \| good	0.227 \| good
2025-06-05T19:00:00.000Z	73 \| moderate	20.879 \| fine	76.42 \| fine	57.784 \| fine	0.31 \| good	3.387 \| good	0.227 \| good
2025-06-05T20:00:00.000Z	74 \| moderate	21.399 \| fine	81.027 \| fine	61.61 \| fine	0.286 \| good	3.767 \| good	0.207 \| good
2025-06-05T21:00:00.000Z	84 \| moderate	16.421 \| fine	73.003 \| fine	65.19 \| fine	0.306 \| good	2.587 \| good	0.247 \| good
2025-06-05T22:00:00.000Z	67 \| moderate	18.449 \| fine	70.723 \| fine	54.867 \| good	0.285 \| good	4.302 \| good	0.245 \| good
2025-06-05T23:00:00.000Z	58 \| moderate	13.179 \| fine	62.027 \| fine	48.615 \| good	0.299 \| good	4.075 \| good	0.245 \| good
2025-06-06T00:00:00.000Z	60 \| moderate	13.988 \| fine	60.858 \| fine	47.756 \| good	0.266 \| good	8.645 \| good	0.245 \| good
2025-06-06T01:00:00.000Z	62 \| moderate	14.582 \| fine	47.377 \| good	45.137 \| good	0.269 \| good	3.934 \| good	0.245 \| good
2025-06-06T02:00:00.000Z	61 \| moderate	13.95 \| fine	75.894 \| fine	45.386 \| good	0.189 \| good	4.557 \| good	0.264 \| good
2025-06-06T03:00:00.000Z	60 \| moderate	14.44 \| fine	38.754 \| good	37.966 \| good	0.212 \| good	6.96 \| good	0.302 \| good
2025-06-06T04:00:00.000Z	62 \| moderate	14.503 \| fine	54.788 \| good	32.604 \| good	0.203 \| good	4.641 \| good	0.282 \| good
2025-06-06T05:00:00.000Z	62 \| moderate	15.187 \| fine	29.082 \| good	27.469 \| good	0.204 \| good	6.724 \| good	0.302 \| good
2025-06-06T06:00:00.000Z	60 \| moderate	13.901 \| fine	35.279 \| good	24.47 \| good	0.178 \| good	9.316 \| good	0.282 \| good
2025-06-05T08:00:00.000Z	49 \| good	9.315 \| good	34.459 \| good	23.984 \| good	0.237 \| good	5.256 \| good	0.265 \| good
2025-06-05T09:00:00.000Z	38 \| good	7 \| good	30.708 \| good	17.584 \| good	1.66 \| good	4.353 \| good	0.204 \| good
2025-06-05T10:00:00.000Z	44 \| good	8.038 \| good	35.157 \| good	14.55 \| good	1.419 \| good	3.617 \| good	0.218 \| good
2025-06-05T11:00:00.000Z	49 \| good	9.364 \| good	41.131 \| good	15.183 \| good	1.561 \| good	4.447 \| good	0.223 \| good
2025-06-05T12:00:00.000Z	52 \| moderate	10.389 \| good	45.778 \| good	19.869 \| good	1.704 \| good	5.277 \| good	0.229 \| good
2025-06-05T13:00:00.000Z	54 \| moderate	10.865 \| good	47.924 \| good	29.145 \| good	1.985 \| good	2.405 \| good	0.217 \| good
2025-06-05T14:00:00.000Z	56 \| moderate	12.32 \| fine	55.007 \| fine	42.687 \| good	2.149 \| good	3.094 \| good	0.223 \| good
2025-06-05T15:00:00.000Z	54 \| moderate	10.534 \| good	46.502 \| good	50.873 \| good	2.313 \| good	3.784 \| good	0.228 \| good
2025-06-05T16:00:00.000Z	58 \| moderate	10.378 \| good	46.213 \| good	56.584 \| fine	1.846 \| good	1.553 \| good	0.201 \| good
2025-06-05T17:00:00.000Z	64 \| moderate	9.919 \| good	44.005 \| good	58.909 \| fine	1.94 \| good	1.813 \| good	0.202 \| good
2025-06-05T18:00:00.000Z	67 \| moderate	9.458 \| good	41.88 \| good	60.331 \| fine	2.035 \| good	2.073 \| good	0.202 \| good
2025-06-05T19:00:00.000Z	64 \| moderate	8.993 \| good	39.875 \| good	58.733 \| fine	1.627 \| good	1.793 \| good	0.196 \| good
2025-06-05T20:00:00.000Z	48 \| good	7.362 \| good	32.712 \| good	52.017 \| good	1.7 \| good	2.133 \| good	0.196 \| good
2025-06-05T21:00:00.000Z	50 \| good	7.102 \| good	31.266 \| good	54.106 \| good	1.773 \| good	2.473 \| good	0.196 \| good
2025-06-05T22:00:00.000Z	46 \| good	5.243 \| good	22.563 \| good	49.94 \| good	1.475 \| good	4.883 \| good	0.22 \| good
2025-06-05T23:00:00.000Z	43 \| good	3.038 \| good	12.882 \| good	46.294 \| good	1.604 \| good	5.767 \| good	0.223 \| good
2025-06-06T00:00:00.000Z	49 \| good	9.407 \| good	42.153 \| good	45.413 \| good	1.732 \| good	6.651 \| good	0.227 \| good
2025-06-06T01:00:00.000Z	52 \| moderate	9.698 \| good	43 \| good	41.361 \| good	1.352 \| good	5.538 \| good	0.22 \| good
2025-06-06T02:00:00.000Z	44 \| good	8.203 \| good	35.804 \| good	34.912 \| good	1.545 \| good	6.784 \| good	0.226 \| good
2025-06-06T03:00:00.000Z	44 \| good	8.038 \| good	35.037 \| good	30.034 \| good	1.739 \| good	8.03 \| good	0.232 \| good
2025-06-06T04:00:00.000Z	49 \| good	8.593 \| good	38.195 \| good	24.001 \| good	1.024 \| good	5.319 \| good	0.216 \| good
2025-06-06T05:00:00.000Z	44 \| good	8.429 \| good	37.42 \| good	19.992 \| good	1.248 \| good	6.437 \| good	0.222 \| good
2025-06-06T06:00:00.000Z	49 \| good	9.086 \| good	39.927 \| good	16.829 \| good	1.472 \| good	7.554 \| good	0.228 \| good
2025-06-06T07:00:00.000Z	49 \| good	9.016 \| good	39.708 \| good	13.105 \| good	1.085 \| good	5.411 \| good	0.213 \| good
2025-06-06T08:00:00.000Z	49 \| good	9.101 \| good	40.316 \| good	12.618 \| good	1.347 \| good	6.379 \| good	0.217 \| good
2025-06-06T09:00:00.000Z	54 \| moderate	10.977 \| good	48.383 \| good	12.757 \| good	1.608 \| good	7.347 \| good	0.222 \| good
2025-06-06T10:00:00.000Z	54 \| moderate	11.395 \| good	50.895 \| good	12.947 \| good	1.33 \| good	4.027 \| good	0.222 \| good
2025-06-06T11:00:00.000Z	49 \| good	9.334 \| good	40.914 \| good	21.282 \| good	1.577 \| good	5.234 \| good	0.227 \| good
2025-06-06T12:00:00.000Z	44 \| good	7.984 \| good	35.292 \| good	24.358 \| good	1.824 \| good	6.441 \| good	0.231 \| good
2025-06-06T13:00:00.000Z	49 \| good	9.042 \| good	39.814 \| good	30.116 \| good	1.329 \| good	1.544 \| good	0.181 \| good
2025-06-06T14:00:00.000Z	49 \| good	8.985 \| good	39.778 \| good	32.384 \| good	1.62 \| good	1.898 \| good	0.183 \| good
2025-06-06T15:00:00.000Z	38 \| good	7.118 \| good	31.418 \| good	34.534 \| good	1.911 \| good	2.251 \| good	0.185 \| good
2025-06-06T16:00:00.000Z	38 \| good	7.088 \| good	31.352 \| good	40.446 \| good	1.22 \| good	0.909 \| good	0.154 \| good
2025-06-06T17:00:00.000Z	44 \| good	6.178 \| good	27.238 \| good	47.285 \| good	1.346 \| good	0.999 \| good	0.151 \| good
2025-06-06T18:00:00.000Z	47 \| good	6.156 \| good	27.432 \| good	51.298 \| good	1.472 \| good	1.088 \| good	0.148 \| good
2025-06-06T19:00:00.000Z	46 \| good	5.675 \| good	24.58 \| good	49.625 \| good	0.939 \| good	1.181 \| good	0.137 \| good
2025-06-06T20:00:00.000Z	46 \| good	5.869 \| good	25.536 \| good	50.401 \| good	1.006 \| good	1.285 \| good	0.135 \| good
2025-06-06T21:00:00.000Z	45 \| good	6.253 \| good	27.917 \| good	49.314 \| good	1.073 \| good	1.389 \| good	0.133 \| good
2025-06-06T22:00:00.000Z	47 \| good	5.423 \| good	23.994 \| good	50.884 \| good	1.071 \| good	6.321 \| good	0.187 \| good
2025-06-06T23:00:00.000Z	46 \| good	4.482 \| good	19.35 \| good	49.827 \| good	1.243 \| good	7.471 \| good	0.191 \| good
2025-06-07T00:00:00.000Z	44 \| good	8.207 \| good	36.259 \| good	41.556 \| good	1.415 \| good	8.62 \| good	0.195 \| good
2025-06-07T01:00:00.000Z	56 \| moderate	11.774 \| good	52.343 \| good	32.074 \| good	1.513 \| good	10.351 \| good	0.208 \| good
2025-06-07T02:00:00.000Z	56 \| moderate	12.1 \| fine	54.013 \| good	23.894 \| good	1.666 \| good	11.291 \| good	0.21 \| good
2025-06-07T03:00:00.000Z	58 \| moderate	12.601 \| fine	56.408 \| fine	18.198 \| good	1.818 \| good	12.232 \| good	0.213 \| good
2025-06-07T04:00:00.000Z	60 \| moderate	14.222 \| fine	63.896 \| fine	13.68 \| good	1.558 \| good	12.607 \| good	0.231 \| good
2025-06-07T05:00:00.000Z	60 \| moderate	14.238 \| fine	63.715 \| fine	11.422 \| good	1.647 \| good	13.312 \| good	0.229 \| good
2025-06-07T06:00:00.000Z	52 \| moderate	9.6 \| good	10.411 \| good	18.652 \| good	1.769 \| good	14.234 \| good	0.228 \| good
2025-06-07T07:00:00.000Z	58 \| moderate	12.7 \| fine	56.915 \| fine	10.366 \| good	1.39 \| good	13.5 \| good	0.249 \| good
2025-06-07T08:00:00.000Z	44 \| good	7.671 \| good	33.65 \| good	11.784 \| good	1.531 \| good	15.067 \| good	0.249 \| good

Germantown

Empower business decisions with accurate air quality data

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

0.27ppm

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 09:00:00 on 2025-06-04.

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

The best air quality in Germantown, Maryland was recorded at 10:00:00 on 2025-06-04.

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

The real-time air quality index in Germantown, Maryland is 49, 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 9.315 μg/m³.

What are the current PM₁₀ levels at Germantown, Maryland?

The current PM₁₀ levels in Germantown, Maryland are 34.459 μg/m³.

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

The current carbon monoxide (CO) level in Germantown, Maryland is 0.265 ppm.

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

The current sulfur dioxide (SO₂) levels in Germantown, Maryland are 0.237 ppb.

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

The current ozone (O₃) levels at Germantown, Maryland is 23.984 ppm.

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

The current nitrogen dioxide (NO₂) levels at Germantown, Maryland is 5.256 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-06-04T07:00:00.000Z	38 \| good	7.385 \| good	30.299 \| good	25.782 \| good	0.292 \| good	8.189 \| good	0.259 \| good
2025-06-04T08:00:00.000Z	44 \| good	7.774 \| good	23.42 \| good	21.61 \| good	0.331 \| good	8.745 \| good	0.239 \| good
2025-06-04T09:00:00.000Z	44 \| good	7.563 \| good	32.31 \| good	19.981 \| good	0.282 \| good	16.118 \| good	0.241 \| good
2025-06-04T10:00:00.000Z	33 \| good	6.369 \| good	29.373 \| good	15.888 \| good	0.347 \| good	10.726 \| good	0.221 \| good
2025-06-04T11:00:00.000Z	38 \| good	7.35 \| good	33.61 \| good	12.99 \| good	0.259 \| good	12.406 \| good	0.317 \| good
2025-06-04T12:00:00.000Z	44 \| good	7.51 \| good	28.418 \| good	22.083 \| good	0.375 \| good	12.308 \| good	0.363 \| good
2025-06-04T13:00:00.000Z	52 \| moderate	9.667 \| good	42.601 \| good	34.033 \| good	2.209 \| good	1.503 \| good	0.236 \| good
2025-06-04T14:00:00.000Z	56 \| moderate	12.05 \| good	51.194 \| good	28.344 \| good	0.374 \| good	10.929 \| good	0.267 \| good
2025-06-04T15:00:00.000Z	56 \| moderate	12.425 \| fine	53.957 \| good	34.57 \| good	0.332 \| good	10.013 \| good	0.265 \| good
2025-06-04T16:00:00.000Z	60 \| moderate	13.994 \| fine	47.366 \| good	42.279 \| good	0.315 \| good	8.647 \| good	0.265 \| good
2025-06-04T17:00:00.000Z	60 \| moderate	13.909 \| fine	41.122 \| good	47.236 \| good	0.309 \| good	8.449 \| good	0.265 \| good
2025-06-04T18:00:00.000Z	58 \| moderate	12.648 \| fine	33.297 \| good	55.77 \| fine	0.28 \| good	4.039 \| good	0.247 \| good
2025-06-04T19:00:00.000Z	71 \| moderate	15.022 \| fine	59.014 \| fine	61.446 \| fine	0.311 \| good	4.037 \| good	0.247 \| good
2025-06-04T20:00:00.000Z	67 \| moderate	13.709 \| fine	51.374 \| good	59.599 \| fine	0.258 \| good	3.284 \| good	0.265 \| good
2025-06-04T21:00:00.000Z	71 \| moderate	13.776 \| fine	55.5 \| fine	61.434 \| fine	0.278 \| good	2.473 \| good	0.245 \| good
2025-06-04T22:00:00.000Z	64 \| moderate	15.468 \| fine	74.92 \| fine	58.803 \| fine	0.249 \| good	3.233 \| good	0.245 \| good
2025-06-04T23:00:00.000Z	66 \| moderate	16.991 \| fine	75.393 \| fine	53.434 \| good	0.225 \| good	5.453 \| good	0.245 \| good
2025-06-05T00:00:00.000Z	64 \| moderate	16.29 \| fine	75.327 \| fine	55.454 \| fine	0.226 \| good	4.293 \| good	0.286 \| good
2025-06-05T01:00:00.000Z	66 \| moderate	16.66 \| fine	71.877 \| fine	55.264 \| fine	0.26 \| good	4.664 \| good	0.304 \| good
2025-06-05T02:00:00.000Z	67 \| moderate	17.674 \| fine	86.215 \| fine	44.396 \| good	0.226 \| good	5.862 \| good	0.304 \| good
2025-06-05T03:00:00.000Z	58 \| moderate	13.334 \| fine	58.177 \| fine	46.119 \| good	0.22 \| good	7.987 \| good	0.304 \| good
2025-06-05T04:00:00.000Z	58 \| moderate	13.487 \| fine	58.359 \| fine	42.074 \| good	0.216 \| good	7.311 \| good	0.284 \| good
2025-06-05T05:00:00.000Z	58 \| moderate	12.934 \| fine	57.462 \| fine	36.257 \| good	0.236 \| good	7.685 \| good	0.321 \| good
2025-06-05T06:00:00.000Z	56 \| moderate	11.663 \| good	34.736 \| good	34.016 \| good	0.214 \| good	10.797 \| good	0.263 \| good
2025-06-05T07:00:00.000Z	49 \| good	9.315 \| good	34.459 \| good	23.984 \| good	0.237 \| good	5.256 \| good	0.265 \| good
2025-06-05T08:00:00.000Z	56 \| moderate	11.596 \| good	36.794 \| good	33.6 \| good	0.513 \| good	6.54 \| good	0.265 \| good
2025-06-05T09:00:00.000Z	56 \| moderate	11.733 \| good	36.469 \| good	33.92 \| good	0.482 \| good	8.887 \| good	0.284 \| good
2025-06-05T10:00:00.000Z	56 \| moderate	11.808 \| good	30.411 \| good	25.043 \| good	0.213 \| good	6.091 \| good	0.282 \| good
2025-06-05T11:00:00.000Z	56 \| moderate	11.939 \| good	47.33 \| good	16.922 \| good	0.302 \| good	7.605 \| good	0.243 \| good
2025-06-05T12:00:00.000Z	56 \| moderate	11.587 \| good	49.378 \| good	23.577 \| good	0.315 \| good	9.206 \| good	0.308 \| good
2025-06-05T13:00:00.000Z	56 \| moderate	12.07 \| good	50.24 \| good	29.114 \| good	0.305 \| good	6.545 \| good	0.247 \| good
2025-06-05T14:00:00.000Z	56 \| moderate	11.742 \| good	48.86 \| good	35.087 \| good	0.258 \| good	8.289 \| good	0.247 \| good
2025-06-05T15:00:00.000Z	56 \| moderate	12.439 \| fine	52.555 \| good	34.427 \| good	0.402 \| good	8.925 \| good	0.247 \| good
2025-06-05T16:00:00.000Z	62 \| moderate	14.622 \| fine	64.698 \| fine	37.605 \| good	0.355 \| good	7.905 \| good	0.247 \| good
2025-06-05T17:00:00.000Z	64 \| moderate	15.598 \| fine	74.73 \| fine	46.633 \| good	0.356 \| good	5.859 \| good	0.247 \| good
2025-06-05T18:00:00.000Z	75 \| moderate	18.645 \| fine	103.286 \| fine	53.865 \| good	0.311 \| good	3.416 \| good	0.227 \| good
2025-06-05T19:00:00.000Z	73 \| moderate	20.879 \| fine	76.42 \| fine	57.784 \| fine	0.31 \| good	3.387 \| good	0.227 \| good
2025-06-05T20:00:00.000Z	74 \| moderate	21.399 \| fine	81.027 \| fine	61.61 \| fine	0.286 \| good	3.767 \| good	0.207 \| good
2025-06-05T21:00:00.000Z	84 \| moderate	16.421 \| fine	73.003 \| fine	65.19 \| fine	0.306 \| good	2.587 \| good	0.247 \| good
2025-06-05T22:00:00.000Z	67 \| moderate	18.449 \| fine	70.723 \| fine	54.867 \| good	0.285 \| good	4.302 \| good	0.245 \| good
2025-06-05T23:00:00.000Z	58 \| moderate	13.179 \| fine	62.027 \| fine	48.615 \| good	0.299 \| good	4.075 \| good	0.245 \| good
2025-06-06T00:00:00.000Z	60 \| moderate	13.988 \| fine	60.858 \| fine	47.756 \| good	0.266 \| good	8.645 \| good	0.245 \| good
2025-06-06T01:00:00.000Z	62 \| moderate	14.582 \| fine	47.377 \| good	45.137 \| good	0.269 \| good	3.934 \| good	0.245 \| good
2025-06-06T02:00:00.000Z	61 \| moderate	13.95 \| fine	75.894 \| fine	45.386 \| good	0.189 \| good	4.557 \| good	0.264 \| good
2025-06-06T03:00:00.000Z	60 \| moderate	14.44 \| fine	38.754 \| good	37.966 \| good	0.212 \| good	6.96 \| good	0.302 \| good
2025-06-06T04:00:00.000Z	62 \| moderate	14.503 \| fine	54.788 \| good	32.604 \| good	0.203 \| good	4.641 \| good	0.282 \| good
2025-06-06T05:00:00.000Z	62 \| moderate	15.187 \| fine	29.082 \| good	27.469 \| good	0.204 \| good	6.724 \| good	0.302 \| good
2025-06-06T06:00:00.000Z	60 \| moderate	13.901 \| fine	35.279 \| good	24.47 \| good	0.178 \| good	9.316 \| good	0.282 \| good
2025-06-05T08:00:00.000Z	49 \| good	9.315 \| good	34.459 \| good	23.984 \| good	0.237 \| good	5.256 \| good	0.265 \| good
2025-06-05T09:00:00.000Z	38 \| good	7 \| good	30.708 \| good	17.584 \| good	1.66 \| good	4.353 \| good	0.204 \| good
2025-06-05T10:00:00.000Z	44 \| good	8.038 \| good	35.157 \| good	14.55 \| good	1.419 \| good	3.617 \| good	0.218 \| good
2025-06-05T11:00:00.000Z	49 \| good	9.364 \| good	41.131 \| good	15.183 \| good	1.561 \| good	4.447 \| good	0.223 \| good
2025-06-05T12:00:00.000Z	52 \| moderate	10.389 \| good	45.778 \| good	19.869 \| good	1.704 \| good	5.277 \| good	0.229 \| good
2025-06-05T13:00:00.000Z	54 \| moderate	10.865 \| good	47.924 \| good	29.145 \| good	1.985 \| good	2.405 \| good	0.217 \| good
2025-06-05T14:00:00.000Z	56 \| moderate	12.32 \| fine	55.007 \| fine	42.687 \| good	2.149 \| good	3.094 \| good	0.223 \| good
2025-06-05T15:00:00.000Z	54 \| moderate	10.534 \| good	46.502 \| good	50.873 \| good	2.313 \| good	3.784 \| good	0.228 \| good
2025-06-05T16:00:00.000Z	58 \| moderate	10.378 \| good	46.213 \| good	56.584 \| fine	1.846 \| good	1.553 \| good	0.201 \| good
2025-06-05T17:00:00.000Z	64 \| moderate	9.919 \| good	44.005 \| good	58.909 \| fine	1.94 \| good	1.813 \| good	0.202 \| good
2025-06-05T18:00:00.000Z	67 \| moderate	9.458 \| good	41.88 \| good	60.331 \| fine	2.035 \| good	2.073 \| good	0.202 \| good
2025-06-05T19:00:00.000Z	64 \| moderate	8.993 \| good	39.875 \| good	58.733 \| fine	1.627 \| good	1.793 \| good	0.196 \| good
2025-06-05T20:00:00.000Z	48 \| good	7.362 \| good	32.712 \| good	52.017 \| good	1.7 \| good	2.133 \| good	0.196 \| good
2025-06-05T21:00:00.000Z	50 \| good	7.102 \| good	31.266 \| good	54.106 \| good	1.773 \| good	2.473 \| good	0.196 \| good
2025-06-05T22:00:00.000Z	46 \| good	5.243 \| good	22.563 \| good	49.94 \| good	1.475 \| good	4.883 \| good	0.22 \| good
2025-06-05T23:00:00.000Z	43 \| good	3.038 \| good	12.882 \| good	46.294 \| good	1.604 \| good	5.767 \| good	0.223 \| good
2025-06-06T00:00:00.000Z	49 \| good	9.407 \| good	42.153 \| good	45.413 \| good	1.732 \| good	6.651 \| good	0.227 \| good
2025-06-06T01:00:00.000Z	52 \| moderate	9.698 \| good	43 \| good	41.361 \| good	1.352 \| good	5.538 \| good	0.22 \| good
2025-06-06T02:00:00.000Z	44 \| good	8.203 \| good	35.804 \| good	34.912 \| good	1.545 \| good	6.784 \| good	0.226 \| good
2025-06-06T03:00:00.000Z	44 \| good	8.038 \| good	35.037 \| good	30.034 \| good	1.739 \| good	8.03 \| good	0.232 \| good
2025-06-06T04:00:00.000Z	49 \| good	8.593 \| good	38.195 \| good	24.001 \| good	1.024 \| good	5.319 \| good	0.216 \| good
2025-06-06T05:00:00.000Z	44 \| good	8.429 \| good	37.42 \| good	19.992 \| good	1.248 \| good	6.437 \| good	0.222 \| good
2025-06-06T06:00:00.000Z	49 \| good	9.086 \| good	39.927 \| good	16.829 \| good	1.472 \| good	7.554 \| good	0.228 \| good
2025-06-06T07:00:00.000Z	49 \| good	9.016 \| good	39.708 \| good	13.105 \| good	1.085 \| good	5.411 \| good	0.213 \| good
2025-06-06T08:00:00.000Z	49 \| good	9.101 \| good	40.316 \| good	12.618 \| good	1.347 \| good	6.379 \| good	0.217 \| good
2025-06-06T09:00:00.000Z	54 \| moderate	10.977 \| good	48.383 \| good	12.757 \| good	1.608 \| good	7.347 \| good	0.222 \| good
2025-06-06T10:00:00.000Z	54 \| moderate	11.395 \| good	50.895 \| good	12.947 \| good	1.33 \| good	4.027 \| good	0.222 \| good
2025-06-06T11:00:00.000Z	49 \| good	9.334 \| good	40.914 \| good	21.282 \| good	1.577 \| good	5.234 \| good	0.227 \| good
2025-06-06T12:00:00.000Z	44 \| good	7.984 \| good	35.292 \| good	24.358 \| good	1.824 \| good	6.441 \| good	0.231 \| good
2025-06-06T13:00:00.000Z	49 \| good	9.042 \| good	39.814 \| good	30.116 \| good	1.329 \| good	1.544 \| good	0.181 \| good
2025-06-06T14:00:00.000Z	49 \| good	8.985 \| good	39.778 \| good	32.384 \| good	1.62 \| good	1.898 \| good	0.183 \| good
2025-06-06T15:00:00.000Z	38 \| good	7.118 \| good	31.418 \| good	34.534 \| good	1.911 \| good	2.251 \| good	0.185 \| good
2025-06-06T16:00:00.000Z	38 \| good	7.088 \| good	31.352 \| good	40.446 \| good	1.22 \| good	0.909 \| good	0.154 \| good
2025-06-06T17:00:00.000Z	44 \| good	6.178 \| good	27.238 \| good	47.285 \| good	1.346 \| good	0.999 \| good	0.151 \| good
2025-06-06T18:00:00.000Z	47 \| good	6.156 \| good	27.432 \| good	51.298 \| good	1.472 \| good	1.088 \| good	0.148 \| good
2025-06-06T19:00:00.000Z	46 \| good	5.675 \| good	24.58 \| good	49.625 \| good	0.939 \| good	1.181 \| good	0.137 \| good
2025-06-06T20:00:00.000Z	46 \| good	5.869 \| good	25.536 \| good	50.401 \| good	1.006 \| good	1.285 \| good	0.135 \| good
2025-06-06T21:00:00.000Z	45 \| good	6.253 \| good	27.917 \| good	49.314 \| good	1.073 \| good	1.389 \| good	0.133 \| good
2025-06-06T22:00:00.000Z	47 \| good	5.423 \| good	23.994 \| good	50.884 \| good	1.071 \| good	6.321 \| good	0.187 \| good
2025-06-06T23:00:00.000Z	46 \| good	4.482 \| good	19.35 \| good	49.827 \| good	1.243 \| good	7.471 \| good	0.191 \| good
2025-06-07T00:00:00.000Z	44 \| good	8.207 \| good	36.259 \| good	41.556 \| good	1.415 \| good	8.62 \| good	0.195 \| good
2025-06-07T01:00:00.000Z	56 \| moderate	11.774 \| good	52.343 \| good	32.074 \| good	1.513 \| good	10.351 \| good	0.208 \| good
2025-06-07T02:00:00.000Z	56 \| moderate	12.1 \| fine	54.013 \| good	23.894 \| good	1.666 \| good	11.291 \| good	0.21 \| good
2025-06-07T03:00:00.000Z	58 \| moderate	12.601 \| fine	56.408 \| fine	18.198 \| good	1.818 \| good	12.232 \| good	0.213 \| good
2025-06-07T04:00:00.000Z	60 \| moderate	14.222 \| fine	63.896 \| fine	13.68 \| good	1.558 \| good	12.607 \| good	0.231 \| good
2025-06-07T05:00:00.000Z	60 \| moderate	14.238 \| fine	63.715 \| fine	11.422 \| good	1.647 \| good	13.312 \| good	0.229 \| good
2025-06-07T06:00:00.000Z	52 \| moderate	9.6 \| good	10.411 \| good	18.652 \| good	1.769 \| good	14.234 \| good	0.228 \| good
2025-06-07T07:00:00.000Z	58 \| moderate	12.7 \| fine	56.915 \| fine	10.366 \| good	1.39 \| good	13.5 \| good	0.249 \| good
2025-06-07T08:00:00.000Z	44 \| good	7.671 \| good	33.65 \| good	11.784 \| good	1.531 \| good	15.067 \| good	0.249 \| good

Live air quality index in Germantown, Maryland today

Major 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?