What are the current PM10 levels at Germantown, Maryland?

The current PM10 levels in Germantown, Maryland are 24.092 μg/m3.

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

The current sulfur dioxide (SO2) levels in Germantown, Maryland are 0.423 ppb.

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

The current ozone (O3) levels at Germantown, Maryland is 33.259 ppm.

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

The current nitrogen dioxide (NO2) levels at Germantown, Maryland is 18.884 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 5.352 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)

5.35 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

24.09 μg/m³

155

255

425

605+

Ozone (O₃)

33.26 ppb

201

201+

Sulfur Dioxide (SO₂)

0.42 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

18.88 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.14 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
2026-01-21T03:00:00.000Z	38 \| good	6.732 \| good	30.007 \| good	19.272 \| good	2.562 \| good	14.334 \| good	0.234 \| good
2026-01-21T04:00:00.000Z	22 \| good	4.418 \| good	16.071 \| good	23.253 \| good	0.322 \| good	17.167 \| good	0.26 \| good
2026-01-21T05:00:00.000Z	28 \| good	3.996 \| good	30.348 \| good	11.712 \| good	0.561 \| good	15.873 \| good	0.3 \| good
2026-01-21T06:00:00.000Z	26 \| good	4.111 \| good	18.195 \| good	20.209 \| good	0.609 \| good	28.466 \| good	0.416 \| good
2026-01-21T07:00:00.000Z	33 \| good	6.127 \| good	22.758 \| good	18.014 \| good	0.654 \| good	18.925 \| good	0.416 \| good
2026-01-21T08:00:00.000Z	38 \| good	6.745 \| good	24.299 \| good	8.205 \| good	0.729 \| good	24.716 \| good	0.438 \| good
2026-01-21T09:00:00.000Z	38 \| good	6.765 \| good	25.349 \| good	3.562 \| good	0.52 \| good	32.355 \| good	0.437 \| good
2026-01-21T10:00:00.000Z	52 \| moderate	9.739 \| good	41.394 \| good	5.238 \| good	0.459 \| good	33.529 \| good	0.413 \| good
2026-01-21T11:00:00.000Z	49 \| good	9.389 \| good	39.557 \| good	3.931 \| good	0.912 \| good	30.038 \| good	0.453 \| good
2026-01-21T12:00:00.000Z	44 \| good	8.473 \| good	33.191 \| good	5.195 \| good	0.874 \| good	33.954 \| good	0.555 \| good
2026-01-21T13:00:00.000Z	38 \| good	7.24 \| good	36.245 \| good	3.577 \| good	0.85 \| good	35.581 \| good	0.596 \| good
2026-01-21T14:00:00.000Z	34 \| good	6.158 \| good	19.831 \| good	5.396 \| good	0.92 \| good	35.711 \| good	0.631 \| good
2026-01-21T15:00:00.000Z	44 \| good	8.444 \| good	34.357 \| good	10.31 \| good	0.864 \| good	32.646 \| good	0.541 \| good
2026-01-21T16:00:00.000Z	44 \| good	8.306 \| good	40.222 \| good	23.116 \| good	0.75 \| good	22.996 \| good	0.408 \| good
2026-01-21T17:00:00.000Z	33 \| good	5.99 \| good	27.398 \| good	27.627 \| good	0.68 \| good	14.716 \| good	0.363 \| good
2026-01-21T18:00:00.000Z	27 \| good	4.618 \| good	19.108 \| good	27.283 \| good	0.622 \| good	6.541 \| good	0.202 \| good
2026-01-21T19:00:00.000Z	28 \| good	4.468 \| good	19.476 \| good	30.488 \| good	0.665 \| good	5.926 \| good	0.193 \| good
2026-01-21T20:00:00.000Z	31 \| good	3.17 \| good	11.954 \| good	32.693 \| good	0.755 \| good	5.913 \| good	0.186 \| good
2026-01-21T21:00:00.000Z	33 \| good	3.023 \| good	11.708 \| good	35.57 \| good	0.717 \| good	7.869 \| good	0.177 \| good
2026-01-21T22:00:00.000Z	34 \| good	2.869 \| good	11.018 \| good	36.805 \| good	0.643 \| good	9.149 \| good	0.201 \| good
2026-01-21T23:00:00.000Z	34 \| good	3.308 \| good	15.25 \| good	36.683 \| good	0.581 \| good	11.069 \| good	0.201 \| good
2026-01-22T00:00:00.000Z	33 \| good	4.361 \| good	16.503 \| good	35.574 \| good	0.44 \| good	13.82 \| good	0.27 \| good
2026-01-22T01:00:00.000Z	32 \| good	4.11 \| good	20.13 \| good	34.866 \| good	0.466 \| good	15.877 \| good	0.297 \| good
2026-01-22T02:00:00.000Z	32 \| good	4.415 \| good	17.797 \| good	35.201 \| good	0.445 \| good	14.514 \| good	0.252 \| good
2026-01-22T03:00:00.000Z	33 \| good	5.638 \| good	25.035 \| good	34.714 \| good	0.448 \| good	11.447 \| good	0.206 \| good
2026-01-22T04:00:00.000Z	31 \| good	4.696 \| good	14.444 \| good	33.34 \| good	0.648 \| good	11.239 \| good	0.182 \| good
2026-01-22T05:00:00.000Z	33 \| good	6.189 \| good	24.596 \| good	32.406 \| good	1.005 \| good	11.664 \| good	0.182 \| good
2026-01-22T06:00:00.000Z	38 \| good	7.253 \| good	26.211 \| good	31.585 \| good	1.063 \| good	8.901 \| good	0.182 \| good
2026-01-22T07:00:00.000Z	49 \| good	8.803 \| good	28.661 \| good	29.643 \| good	0.717 \| good	8.692 \| good	0.182 \| good
2026-01-22T08:00:00.000Z	52 \| moderate	9.677 \| good	38.626 \| good	31.62 \| good	0.841 \| good	9.192 \| good	0.177 \| good
2026-01-22T09:00:00.000Z	49 \| good	9.108 \| good	31.171 \| good	31.616 \| good	0.762 \| good	10.133 \| good	0.182 \| good
2026-01-22T10:00:00.000Z	56 \| moderate	11.975 \| good	49.818 \| good	30.942 \| good	0.766 \| good	8.705 \| good	0.201 \| good
2026-01-22T11:00:00.000Z	54 \| moderate	10.971 \| good	48.721 \| good	29.158 \| good	0.72 \| good	9.051 \| good	0.246 \| good
2026-01-22T12:00:00.000Z	58 \| moderate	13.312 \| fine	57.809 \| fine	30.846 \| good	0.765 \| good	11.897 \| good	0.273 \| good
2026-01-22T13:00:00.000Z	60 \| moderate	13.574 \| fine	63.632 \| fine	29.571 \| good	0.755 \| good	27.736 \| good	0.298 \| good
2026-01-22T14:00:00.000Z	60 \| moderate	13.893 \| fine	52.987 \| good	23.485 \| good	0.774 \| good	25.238 \| good	0.304 \| good
2026-01-22T15:00:00.000Z	56 \| moderate	12.402 \| fine	48.437 \| good	24.214 \| good	0.72 \| good	19.787 \| good	0.353 \| good
2026-01-22T16:00:00.000Z	56 \| moderate	12.033 \| good	44.801 \| good	29.562 \| good	0.799 \| good	14.641 \| good	0.299 \| good
2026-01-22T17:00:00.000Z	52 \| moderate	9.537 \| good	32.152 \| good	33.617 \| good	0.588 \| good	7.291 \| good	0.224 \| good
2026-01-22T18:00:00.000Z	49 \| good	8.907 \| good	27.69 \| good	36.09 \| good	0.481 \| good	4.421 \| good	0.178 \| good
2026-01-22T19:00:00.000Z	51 \| moderate	8.208 \| good	55.548 \| fine	37.983 \| good	0.41 \| good	4.018 \| good	0.153 \| good
2026-01-22T20:00:00.000Z	35 \| good	4.506 \| good	17.577 \| good	38.317 \| good	0.395 \| good	4.771 \| good	0.14 \| good
2026-01-22T21:00:00.000Z	37 \| good	4.599 \| good	18.869 \| good	40.198 \| good	0.427 \| good	3.775 \| good	0.14 \| good
2026-01-22T22:00:00.000Z	36 \| good	4.337 \| good	17.898 \| good	39.204 \| good	0.452 \| good	5.509 \| good	0.14 \| good
2026-01-22T23:00:00.000Z	36 \| good	4.024 \| good	21.97 \| good	39.307 \| good	0.48 \| good	6.955 \| good	0.14 \| good
2026-01-23T00:00:00.000Z	38 \| good	7.366 \| good	27.464 \| good	35.83 \| good	0.369 \| good	8.893 \| good	0.14 \| good
2026-01-23T01:00:00.000Z	44 \| good	8.055 \| good	47.198 \| good	35.269 \| good	0.371 \| good	15.434 \| good	0.159 \| good
2026-01-23T02:00:00.000Z	31 \| good	5.269 \| good	17.753 \| good	34.426 \| good	0.416 \| good	19.162 \| good	0.14 \| good
2026-01-23T02:00:00.000Z	31 \| good	5.352 \| good	24.092 \| good	33.259 \| good	0.423 \| good	18.884 \| good	0.141 \| good
2026-01-23T03:00:00.000Z	33 \| good	5.634 \| good	24.156 \| good	25.867 \| good	2.959 \| good	14.821 \| good	0.251 \| good
2026-01-23T04:00:00.000Z	33 \| good	5.594 \| good	24.07 \| good	23.528 \| good	2.99 \| good	12.648 \| good	0.238 \| good
2026-01-23T05:00:00.000Z	33 \| good	6.394 \| good	28.304 \| good	23.713 \| good	3.021 \| good	10.475 \| good	0.224 \| good
2026-01-23T06:00:00.000Z	38 \| good	6.758 \| good	30.062 \| good	21.832 \| good	3.052 \| good	8.301 \| good	0.211 \| good
2026-01-23T07:00:00.000Z	33 \| good	6.262 \| good	27.851 \| good	18.496 \| good	3.155 \| good	7.511 \| good	0.204 \| good
2026-01-23T08:00:00.000Z	33 \| good	5.667 \| good	24.27 \| good	15.865 \| good	3.257 \| good	6.72 \| good	0.197 \| good
2026-01-23T09:00:00.000Z	33 \| good	5.94 \| good	26.292 \| good	14.875 \| good	3.359 \| good	5.93 \| good	0.19 \| good
2026-01-23T10:00:00.000Z	33 \| good	6.328 \| good	28.103 \| good	10.75 \| good	3.713 \| good	8.367 \| good	0.203 \| good
2026-01-23T11:00:00.000Z	38 \| good	6.939 \| good	30.75 \| good	8.344 \| good	4.067 \| good	10.805 \| good	0.216 \| good
2026-01-23T12:00:00.000Z	44 \| good	7.524 \| good	33.182 \| good	8.793 \| good	4.421 \| good	13.243 \| good	0.229 \| good
2026-01-23T13:00:00.000Z	44 \| good	8.359 \| good	36.55 \| good	10.348 \| good	4.356 \| good	12.735 \| good	0.236 \| good
2026-01-23T14:00:00.000Z	44 \| good	7.628 \| good	33.655 \| good	16.751 \| good	4.291 \| good	12.227 \| good	0.243 \| good
2026-01-23T15:00:00.000Z	33 \| good	6.139 \| good	26.99 \| good	23.189 \| good	4.227 \| good	11.718 \| good	0.25 \| good
2026-01-23T16:00:00.000Z	28 \| good	2.885 \| good	11.91 \| good	30.248 \| good	4.096 \| good	8.72 \| good	0.224 \| good
2026-01-23T17:00:00.000Z	30 \| good	2.803 \| good	11.7 \| good	31.967 \| good	3.966 \| good	5.721 \| good	0.198 \| good
2026-01-23T18:00:00.000Z	31 \| good	3.979 \| good	17.557 \| good	33.038 \| good	3.836 \| good	2.722 \| good	0.172 \| good
2026-01-23T19:00:00.000Z	32 \| good	4.184 \| good	18.551 \| good	35.436 \| good	3.299 \| good	3.071 \| good	0.172 \| good
2026-01-23T20:00:00.000Z	35 \| good	2.334 \| good	9.622 \| good	38.401 \| good	2.763 \| good	3.419 \| good	0.172 \| good
2026-01-23T21:00:00.000Z	34 \| good	1.827 \| good	7.512 \| good	36.887 \| good	2.226 \| good	3.767 \| good	0.172 \| good
2026-01-23T22:00:00.000Z	30 \| good	1.625 \| good	6.613 \| good	31.573 \| good	2.141 \| good	4.012 \| good	0.168 \| good
2026-01-23T23:00:00.000Z	25 \| good	1.881 \| good	8 \| good	27.471 \| good	2.057 \| good	4.257 \| good	0.165 \| good
2026-01-24T00:00:00.000Z	24 \| good	1.826 \| good	7.97 \| good	25.729 \| good	1.972 \| good	4.501 \| good	0.161 \| good
2026-01-24T01:00:00.000Z	24 \| good	1.445 \| good	5.729 \| good	26.07 \| good	1.881 \| good	4.132 \| good	0.158 \| good
2026-01-24T02:00:00.000Z	23 \| good	1.641 \| good	6.797 \| good	24.597 \| good	1.79 \| good	3.763 \| good	0.155 \| good
2026-01-24T03:00:00.000Z	23 \| good	1.765 \| good	7.247 \| good	24.873 \| good	1.699 \| good	3.394 \| good	0.152 \| good
2026-01-24T04:00:00.000Z	23 \| good	1.895 \| good	8 \| good	24.501 \| good	1.49 \| good	2.852 \| good	0.147 \| good
2026-01-24T05:00:00.000Z	22 \| good	2.863 \| good	11.672 \| good	24.201 \| good	1.281 \| good	2.311 \| good	0.143 \| good
2026-01-24T06:00:00.000Z	21 \| good	3.014 \| good	12.286 \| good	23.386 \| good	1.072 \| good	1.769 \| good	0.139 \| good
2026-01-24T07:00:00.000Z	21 \| good	2.068 \| good	8.354 \| good	23.095 \| good	0.975 \| good	1.686 \| good	0.138 \| good
2026-01-24T08:00:00.000Z	21 \| good	1.631 \| good	6.672 \| good	23.463 \| good	0.878 \| good	1.604 \| good	0.138 \| good
2026-01-24T09:00:00.000Z	20 \| good	2.501 \| good	10.098 \| good	22.192 \| good	0.781 \| good	1.522 \| good	0.138 \| good
2026-01-24T10:00:00.000Z	20 \| good	1.935 \| good	8.009 \| good	21.61 \| good	0.751 \| good	1.865 \| good	0.141 \| good
2026-01-24T11:00:00.000Z	20 \| good	1.173 \| good	4.616 \| good	21.539 \| good	0.721 \| good	2.208 \| good	0.143 \| good
2026-01-24T12:00:00.000Z	20 \| good	1.645 \| good	6.616 \| good	22.294 \| good	0.692 \| good	2.551 \| good	0.145 \| good
2026-01-24T13:00:00.000Z	20 \| good	2.515 \| good	10.044 \| good	22.431 \| good	0.661 \| good	2.536 \| good	0.148 \| good
2026-01-24T14:00:00.000Z	20 \| good	2.73 \| good	11.044 \| good	22.046 \| good	0.63 \| good	2.522 \| good	0.15 \| good
2026-01-24T15:00:00.000Z	20 \| good	2.466 \| good	10 \| good	21.658 \| good	0.6 \| good	2.508 \| good	0.152 \| good
2026-01-24T16:00:00.000Z	19 \| good	1.681 \| good	6.687 \| good	21.303 \| good	0.625 \| good	2.332 \| good	0.151 \| good
2026-01-24T17:00:00.000Z	20 \| good	1.271 \| good	5.257 \| good	21.962 \| good	0.651 \| good	2.156 \| good	0.15 \| good
2026-01-24T18:00:00.000Z	21 \| good	1.47 \| good	5.687 \| good	22.741 \| good	0.676 \| good	1.98 \| good	0.149 \| good
2026-01-24T19:00:00.000Z	22 \| good	2.236 \| good	9.115 \| good	23.871 \| good	0.717 \| good	2.408 \| good	0.15 \| good
2026-01-24T20:00:00.000Z	23 \| good	2.323 \| good	9.512 \| good	24.914 \| good	0.758 \| good	2.835 \| good	0.151 \| good
2026-01-24T21:00:00.000Z	24 \| good	0.903 \| good	3.531 \| good	25.962 \| good	0.799 \| good	3.263 \| good	0.152 \| good
2026-01-24T22:00:00.000Z	22 \| good	1.274 \| good	5 \| good	24.273 \| good	0.956 \| good	3.941 \| good	0.156 \| good
2026-01-24T23:00:00.000Z	22 \| good	1.502 \| good	6.021 \| good	24.143 \| good	1.112 \| good	4.619 \| good	0.16 \| good
2026-01-25T00:00:00.000Z	27 \| good	3.968 \| good	4.164 \| good	28.564 \| good	1.277 \| good	5.326 \| good	0.163 \| good
2026-01-25T01:00:00.000Z	20 \| good	0.885 \| good	3.402 \| good	21.955 \| good	1.576 \| good	5.59 \| good	0.165 \| good
2026-01-25T02:00:00.000Z	19 \| good	1.1 \| good	4.362 \| good	20.542 \| good	1.883 \| good	5.882 \| good	0.167 \| good

Germantown

Empower business decisions with accurate air quality data

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

0.16ppm

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

Air quality levels in US

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 02:00:00 on 2026-01-22.

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 2026-01-22.

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

The real-time air quality index in Germantown, Maryland is 31, currently categorized as Good.

Which pollutant is found most often in Germantown, Maryland?

The most common pollutant in Germantown, Maryland is O3.

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 5.352 μg/m³.

What are the current PM₁₀ levels at Germantown, Maryland?

The current PM₁₀ levels in Germantown, Maryland are 24.092 μg/m³.

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

The current carbon monoxide (CO) level in Germantown, Maryland is 0.141 ppm.

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

The current sulfur dioxide (SO₂) levels in Germantown, Maryland are 0.423 ppb.

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

The current ozone (O₃) levels at Germantown, Maryland is 33.259 ppm.

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

The current nitrogen dioxide (NO₂) levels at Germantown, Maryland is 18.884 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-01-21T03:00:00.000Z	38 \| good	6.732 \| good	30.007 \| good	19.272 \| good	2.562 \| good	14.334 \| good	0.234 \| good
2026-01-21T04:00:00.000Z	22 \| good	4.418 \| good	16.071 \| good	23.253 \| good	0.322 \| good	17.167 \| good	0.26 \| good
2026-01-21T05:00:00.000Z	28 \| good	3.996 \| good	30.348 \| good	11.712 \| good	0.561 \| good	15.873 \| good	0.3 \| good
2026-01-21T06:00:00.000Z	26 \| good	4.111 \| good	18.195 \| good	20.209 \| good	0.609 \| good	28.466 \| good	0.416 \| good
2026-01-21T07:00:00.000Z	33 \| good	6.127 \| good	22.758 \| good	18.014 \| good	0.654 \| good	18.925 \| good	0.416 \| good
2026-01-21T08:00:00.000Z	38 \| good	6.745 \| good	24.299 \| good	8.205 \| good	0.729 \| good	24.716 \| good	0.438 \| good
2026-01-21T09:00:00.000Z	38 \| good	6.765 \| good	25.349 \| good	3.562 \| good	0.52 \| good	32.355 \| good	0.437 \| good
2026-01-21T10:00:00.000Z	52 \| moderate	9.739 \| good	41.394 \| good	5.238 \| good	0.459 \| good	33.529 \| good	0.413 \| good
2026-01-21T11:00:00.000Z	49 \| good	9.389 \| good	39.557 \| good	3.931 \| good	0.912 \| good	30.038 \| good	0.453 \| good
2026-01-21T12:00:00.000Z	44 \| good	8.473 \| good	33.191 \| good	5.195 \| good	0.874 \| good	33.954 \| good	0.555 \| good
2026-01-21T13:00:00.000Z	38 \| good	7.24 \| good	36.245 \| good	3.577 \| good	0.85 \| good	35.581 \| good	0.596 \| good
2026-01-21T14:00:00.000Z	34 \| good	6.158 \| good	19.831 \| good	5.396 \| good	0.92 \| good	35.711 \| good	0.631 \| good
2026-01-21T15:00:00.000Z	44 \| good	8.444 \| good	34.357 \| good	10.31 \| good	0.864 \| good	32.646 \| good	0.541 \| good
2026-01-21T16:00:00.000Z	44 \| good	8.306 \| good	40.222 \| good	23.116 \| good	0.75 \| good	22.996 \| good	0.408 \| good
2026-01-21T17:00:00.000Z	33 \| good	5.99 \| good	27.398 \| good	27.627 \| good	0.68 \| good	14.716 \| good	0.363 \| good
2026-01-21T18:00:00.000Z	27 \| good	4.618 \| good	19.108 \| good	27.283 \| good	0.622 \| good	6.541 \| good	0.202 \| good
2026-01-21T19:00:00.000Z	28 \| good	4.468 \| good	19.476 \| good	30.488 \| good	0.665 \| good	5.926 \| good	0.193 \| good
2026-01-21T20:00:00.000Z	31 \| good	3.17 \| good	11.954 \| good	32.693 \| good	0.755 \| good	5.913 \| good	0.186 \| good
2026-01-21T21:00:00.000Z	33 \| good	3.023 \| good	11.708 \| good	35.57 \| good	0.717 \| good	7.869 \| good	0.177 \| good
2026-01-21T22:00:00.000Z	34 \| good	2.869 \| good	11.018 \| good	36.805 \| good	0.643 \| good	9.149 \| good	0.201 \| good
2026-01-21T23:00:00.000Z	34 \| good	3.308 \| good	15.25 \| good	36.683 \| good	0.581 \| good	11.069 \| good	0.201 \| good
2026-01-22T00:00:00.000Z	33 \| good	4.361 \| good	16.503 \| good	35.574 \| good	0.44 \| good	13.82 \| good	0.27 \| good
2026-01-22T01:00:00.000Z	32 \| good	4.11 \| good	20.13 \| good	34.866 \| good	0.466 \| good	15.877 \| good	0.297 \| good
2026-01-22T02:00:00.000Z	32 \| good	4.415 \| good	17.797 \| good	35.201 \| good	0.445 \| good	14.514 \| good	0.252 \| good
2026-01-22T03:00:00.000Z	33 \| good	5.638 \| good	25.035 \| good	34.714 \| good	0.448 \| good	11.447 \| good	0.206 \| good
2026-01-22T04:00:00.000Z	31 \| good	4.696 \| good	14.444 \| good	33.34 \| good	0.648 \| good	11.239 \| good	0.182 \| good
2026-01-22T05:00:00.000Z	33 \| good	6.189 \| good	24.596 \| good	32.406 \| good	1.005 \| good	11.664 \| good	0.182 \| good
2026-01-22T06:00:00.000Z	38 \| good	7.253 \| good	26.211 \| good	31.585 \| good	1.063 \| good	8.901 \| good	0.182 \| good
2026-01-22T07:00:00.000Z	49 \| good	8.803 \| good	28.661 \| good	29.643 \| good	0.717 \| good	8.692 \| good	0.182 \| good
2026-01-22T08:00:00.000Z	52 \| moderate	9.677 \| good	38.626 \| good	31.62 \| good	0.841 \| good	9.192 \| good	0.177 \| good
2026-01-22T09:00:00.000Z	49 \| good	9.108 \| good	31.171 \| good	31.616 \| good	0.762 \| good	10.133 \| good	0.182 \| good
2026-01-22T10:00:00.000Z	56 \| moderate	11.975 \| good	49.818 \| good	30.942 \| good	0.766 \| good	8.705 \| good	0.201 \| good
2026-01-22T11:00:00.000Z	54 \| moderate	10.971 \| good	48.721 \| good	29.158 \| good	0.72 \| good	9.051 \| good	0.246 \| good
2026-01-22T12:00:00.000Z	58 \| moderate	13.312 \| fine	57.809 \| fine	30.846 \| good	0.765 \| good	11.897 \| good	0.273 \| good
2026-01-22T13:00:00.000Z	60 \| moderate	13.574 \| fine	63.632 \| fine	29.571 \| good	0.755 \| good	27.736 \| good	0.298 \| good
2026-01-22T14:00:00.000Z	60 \| moderate	13.893 \| fine	52.987 \| good	23.485 \| good	0.774 \| good	25.238 \| good	0.304 \| good
2026-01-22T15:00:00.000Z	56 \| moderate	12.402 \| fine	48.437 \| good	24.214 \| good	0.72 \| good	19.787 \| good	0.353 \| good
2026-01-22T16:00:00.000Z	56 \| moderate	12.033 \| good	44.801 \| good	29.562 \| good	0.799 \| good	14.641 \| good	0.299 \| good
2026-01-22T17:00:00.000Z	52 \| moderate	9.537 \| good	32.152 \| good	33.617 \| good	0.588 \| good	7.291 \| good	0.224 \| good
2026-01-22T18:00:00.000Z	49 \| good	8.907 \| good	27.69 \| good	36.09 \| good	0.481 \| good	4.421 \| good	0.178 \| good
2026-01-22T19:00:00.000Z	51 \| moderate	8.208 \| good	55.548 \| fine	37.983 \| good	0.41 \| good	4.018 \| good	0.153 \| good
2026-01-22T20:00:00.000Z	35 \| good	4.506 \| good	17.577 \| good	38.317 \| good	0.395 \| good	4.771 \| good	0.14 \| good
2026-01-22T21:00:00.000Z	37 \| good	4.599 \| good	18.869 \| good	40.198 \| good	0.427 \| good	3.775 \| good	0.14 \| good
2026-01-22T22:00:00.000Z	36 \| good	4.337 \| good	17.898 \| good	39.204 \| good	0.452 \| good	5.509 \| good	0.14 \| good
2026-01-22T23:00:00.000Z	36 \| good	4.024 \| good	21.97 \| good	39.307 \| good	0.48 \| good	6.955 \| good	0.14 \| good
2026-01-23T00:00:00.000Z	38 \| good	7.366 \| good	27.464 \| good	35.83 \| good	0.369 \| good	8.893 \| good	0.14 \| good
2026-01-23T01:00:00.000Z	44 \| good	8.055 \| good	47.198 \| good	35.269 \| good	0.371 \| good	15.434 \| good	0.159 \| good
2026-01-23T02:00:00.000Z	31 \| good	5.269 \| good	17.753 \| good	34.426 \| good	0.416 \| good	19.162 \| good	0.14 \| good
2026-01-23T02:00:00.000Z	31 \| good	5.352 \| good	24.092 \| good	33.259 \| good	0.423 \| good	18.884 \| good	0.141 \| good
2026-01-23T03:00:00.000Z	33 \| good	5.634 \| good	24.156 \| good	25.867 \| good	2.959 \| good	14.821 \| good	0.251 \| good
2026-01-23T04:00:00.000Z	33 \| good	5.594 \| good	24.07 \| good	23.528 \| good	2.99 \| good	12.648 \| good	0.238 \| good
2026-01-23T05:00:00.000Z	33 \| good	6.394 \| good	28.304 \| good	23.713 \| good	3.021 \| good	10.475 \| good	0.224 \| good
2026-01-23T06:00:00.000Z	38 \| good	6.758 \| good	30.062 \| good	21.832 \| good	3.052 \| good	8.301 \| good	0.211 \| good
2026-01-23T07:00:00.000Z	33 \| good	6.262 \| good	27.851 \| good	18.496 \| good	3.155 \| good	7.511 \| good	0.204 \| good
2026-01-23T08:00:00.000Z	33 \| good	5.667 \| good	24.27 \| good	15.865 \| good	3.257 \| good	6.72 \| good	0.197 \| good
2026-01-23T09:00:00.000Z	33 \| good	5.94 \| good	26.292 \| good	14.875 \| good	3.359 \| good	5.93 \| good	0.19 \| good
2026-01-23T10:00:00.000Z	33 \| good	6.328 \| good	28.103 \| good	10.75 \| good	3.713 \| good	8.367 \| good	0.203 \| good
2026-01-23T11:00:00.000Z	38 \| good	6.939 \| good	30.75 \| good	8.344 \| good	4.067 \| good	10.805 \| good	0.216 \| good
2026-01-23T12:00:00.000Z	44 \| good	7.524 \| good	33.182 \| good	8.793 \| good	4.421 \| good	13.243 \| good	0.229 \| good
2026-01-23T13:00:00.000Z	44 \| good	8.359 \| good	36.55 \| good	10.348 \| good	4.356 \| good	12.735 \| good	0.236 \| good
2026-01-23T14:00:00.000Z	44 \| good	7.628 \| good	33.655 \| good	16.751 \| good	4.291 \| good	12.227 \| good	0.243 \| good
2026-01-23T15:00:00.000Z	33 \| good	6.139 \| good	26.99 \| good	23.189 \| good	4.227 \| good	11.718 \| good	0.25 \| good
2026-01-23T16:00:00.000Z	28 \| good	2.885 \| good	11.91 \| good	30.248 \| good	4.096 \| good	8.72 \| good	0.224 \| good
2026-01-23T17:00:00.000Z	30 \| good	2.803 \| good	11.7 \| good	31.967 \| good	3.966 \| good	5.721 \| good	0.198 \| good
2026-01-23T18:00:00.000Z	31 \| good	3.979 \| good	17.557 \| good	33.038 \| good	3.836 \| good	2.722 \| good	0.172 \| good
2026-01-23T19:00:00.000Z	32 \| good	4.184 \| good	18.551 \| good	35.436 \| good	3.299 \| good	3.071 \| good	0.172 \| good
2026-01-23T20:00:00.000Z	35 \| good	2.334 \| good	9.622 \| good	38.401 \| good	2.763 \| good	3.419 \| good	0.172 \| good
2026-01-23T21:00:00.000Z	34 \| good	1.827 \| good	7.512 \| good	36.887 \| good	2.226 \| good	3.767 \| good	0.172 \| good
2026-01-23T22:00:00.000Z	30 \| good	1.625 \| good	6.613 \| good	31.573 \| good	2.141 \| good	4.012 \| good	0.168 \| good
2026-01-23T23:00:00.000Z	25 \| good	1.881 \| good	8 \| good	27.471 \| good	2.057 \| good	4.257 \| good	0.165 \| good
2026-01-24T00:00:00.000Z	24 \| good	1.826 \| good	7.97 \| good	25.729 \| good	1.972 \| good	4.501 \| good	0.161 \| good
2026-01-24T01:00:00.000Z	24 \| good	1.445 \| good	5.729 \| good	26.07 \| good	1.881 \| good	4.132 \| good	0.158 \| good
2026-01-24T02:00:00.000Z	23 \| good	1.641 \| good	6.797 \| good	24.597 \| good	1.79 \| good	3.763 \| good	0.155 \| good
2026-01-24T03:00:00.000Z	23 \| good	1.765 \| good	7.247 \| good	24.873 \| good	1.699 \| good	3.394 \| good	0.152 \| good
2026-01-24T04:00:00.000Z	23 \| good	1.895 \| good	8 \| good	24.501 \| good	1.49 \| good	2.852 \| good	0.147 \| good
2026-01-24T05:00:00.000Z	22 \| good	2.863 \| good	11.672 \| good	24.201 \| good	1.281 \| good	2.311 \| good	0.143 \| good
2026-01-24T06:00:00.000Z	21 \| good	3.014 \| good	12.286 \| good	23.386 \| good	1.072 \| good	1.769 \| good	0.139 \| good
2026-01-24T07:00:00.000Z	21 \| good	2.068 \| good	8.354 \| good	23.095 \| good	0.975 \| good	1.686 \| good	0.138 \| good
2026-01-24T08:00:00.000Z	21 \| good	1.631 \| good	6.672 \| good	23.463 \| good	0.878 \| good	1.604 \| good	0.138 \| good
2026-01-24T09:00:00.000Z	20 \| good	2.501 \| good	10.098 \| good	22.192 \| good	0.781 \| good	1.522 \| good	0.138 \| good
2026-01-24T10:00:00.000Z	20 \| good	1.935 \| good	8.009 \| good	21.61 \| good	0.751 \| good	1.865 \| good	0.141 \| good
2026-01-24T11:00:00.000Z	20 \| good	1.173 \| good	4.616 \| good	21.539 \| good	0.721 \| good	2.208 \| good	0.143 \| good
2026-01-24T12:00:00.000Z	20 \| good	1.645 \| good	6.616 \| good	22.294 \| good	0.692 \| good	2.551 \| good	0.145 \| good
2026-01-24T13:00:00.000Z	20 \| good	2.515 \| good	10.044 \| good	22.431 \| good	0.661 \| good	2.536 \| good	0.148 \| good
2026-01-24T14:00:00.000Z	20 \| good	2.73 \| good	11.044 \| good	22.046 \| good	0.63 \| good	2.522 \| good	0.15 \| good
2026-01-24T15:00:00.000Z	20 \| good	2.466 \| good	10 \| good	21.658 \| good	0.6 \| good	2.508 \| good	0.152 \| good
2026-01-24T16:00:00.000Z	19 \| good	1.681 \| good	6.687 \| good	21.303 \| good	0.625 \| good	2.332 \| good	0.151 \| good
2026-01-24T17:00:00.000Z	20 \| good	1.271 \| good	5.257 \| good	21.962 \| good	0.651 \| good	2.156 \| good	0.15 \| good
2026-01-24T18:00:00.000Z	21 \| good	1.47 \| good	5.687 \| good	22.741 \| good	0.676 \| good	1.98 \| good	0.149 \| good
2026-01-24T19:00:00.000Z	22 \| good	2.236 \| good	9.115 \| good	23.871 \| good	0.717 \| good	2.408 \| good	0.15 \| good
2026-01-24T20:00:00.000Z	23 \| good	2.323 \| good	9.512 \| good	24.914 \| good	0.758 \| good	2.835 \| good	0.151 \| good
2026-01-24T21:00:00.000Z	24 \| good	0.903 \| good	3.531 \| good	25.962 \| good	0.799 \| good	3.263 \| good	0.152 \| good
2026-01-24T22:00:00.000Z	22 \| good	1.274 \| good	5 \| good	24.273 \| good	0.956 \| good	3.941 \| good	0.156 \| good
2026-01-24T23:00:00.000Z	22 \| good	1.502 \| good	6.021 \| good	24.143 \| good	1.112 \| good	4.619 \| good	0.16 \| good
2026-01-25T00:00:00.000Z	27 \| good	3.968 \| good	4.164 \| good	28.564 \| good	1.277 \| good	5.326 \| good	0.163 \| good
2026-01-25T01:00:00.000Z	20 \| good	0.885 \| good	3.402 \| good	21.955 \| good	1.576 \| good	5.59 \| good	0.165 \| good
2026-01-25T02:00:00.000Z	19 \| good	1.1 \| good	4.362 \| good	20.542 \| good	1.883 \| good	5.882 \| good	0.167 \| 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?