What is the current level of PM10 in North Bethesda, Maryland?

North Bethesda, Maryland currently has a PM10 concentration of 13.245 μg/m3.

What is the current level of sulfur dioxide (SO2) in North Bethesda, Maryland?

The current sulfur dioxide (SO2) concentration in North Bethesda, Maryland is 0.293 ppb.

What is the current level of ozone (O3) in North Bethesda, Maryland?

North Bethesda, Maryland currently has an ozone (O3) concentration of 29.579 ppm.

What is the current level of nitrogen dioxide (NO2) in North Bethesda, Maryland?

The current level of nitrogen dioxide (NO2) in North Bethesda, Maryland is 4.465 ppb.

Current air quality index in North Bethesda, Maryland today

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

Stay updated with real-time air quality in North Bethesda, 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

North Bethesda, Maryland

Last updated: ... (Local time)

Common air pollutants in North Bethesda, Maryland

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

3.10 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

13.24 μg/m³

155

255

425

605+

Ozone (O₃)

29.58 ppb

201

201+

Sulfur Dioxide (SO₂)

0.29 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

4.46 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.20 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

North Bethesda, Maryland

Get Live Pollen Counts

North Bethesda, Maryland

Scroll To Air Quality Map

Track live North Bethesda, Maryland air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T21:00:00.000Z	49 \| good	8.672 \| good	37.816 \| good	40.488 \| good	0.256 \| good	2.38 \| good	0.196 \| good
2025-10-19T22:00:00.000Z	44 \| good	8.031 \| good	34.673 \| good	41.149 \| good	0.264 \| good	2.547 \| good	0.196 \| good
2025-10-19T23:00:00.000Z	34 \| good	6.433 \| good	27.667 \| good	37.27 \| good	0.277 \| good	2.582 \| good	0.196 \| good
2025-10-20T00:00:00.000Z	33 \| good	5.621 \| good	24.235 \| good	34.678 \| good	0.243 \| good	2.915 \| good	0.196 \| good
2025-10-20T01:00:00.000Z	31 \| good	4.631 \| good	20.969 \| good	34.328 \| good	0.202 \| good	3.247 \| good	0.212 \| good
2025-10-20T02:00:00.000Z	34 \| good	4.454 \| good	19.189 \| good	36.751 \| good	0.215 \| good	2.557 \| good	0.212 \| good
2025-10-20T03:00:00.000Z	31 \| good	3.862 \| good	16.74 \| good	34.382 \| good	0.195 \| good	2.251 \| good	0.177 \| good
2025-10-20T04:00:00.000Z	32 \| good	3.896 \| good	16.831 \| good	35.412 \| good	0.176 \| good	2.058 \| good	0.177 \| good
2025-10-20T05:00:00.000Z	28 \| good	1.831 \| good	7.547 \| good	29.813 \| good	0.21 \| good	2.198 \| good	0.177 \| good
2025-10-20T06:00:00.000Z	27 \| good	1.39 \| good	5.925 \| good	28.818 \| good	0.137 \| good	2.906 \| good	0.177 \| good
2025-10-20T07:00:00.000Z	27 \| good	1.283 \| good	4.962 \| good	28.766 \| good	0.163 \| good	2.28 \| good	0.177 \| good
2025-10-20T08:00:00.000Z	21 \| good	2.268 \| good	9.725 \| good	23.228 \| good	0.139 \| good	2.963 \| good	0.177 \| good
2025-10-20T09:00:00.000Z	20 \| good	2.505 \| good	10.89 \| good	21.668 \| good	0.162 \| good	3.333 \| good	0.198 \| good
2025-10-20T10:00:00.000Z	21 \| good	2.203 \| good	8.928 \| good	22.895 \| good	0.163 \| good	2.27 \| good	0.177 \| good
2025-10-20T11:00:00.000Z	22 \| good	1.4 \| good	6.196 \| good	23.602 \| good	0.163 \| good	3.655 \| good	0.166 \| good
2025-10-20T12:00:00.000Z	22 \| good	1.437 \| good	6.124 \| good	24.283 \| good	0.176 \| good	4.022 \| good	0.133 \| good
2025-10-20T13:00:00.000Z	22 \| good	1.366 \| good	6.562 \| good	23.866 \| good	0.147 \| good	5.977 \| good	0.182 \| good
2025-10-20T14:00:00.000Z	22 \| good	3.823 \| good	16.586 \| good	22.004 \| good	0.17 \| good	5.963 \| good	0.203 \| good
2025-10-20T15:00:00.000Z	23 \| good	4.338 \| good	18.475 \| good	25.44 \| good	0.203 \| good	3.176 \| good	0.149 \| good
2025-10-20T16:00:00.000Z	25 \| good	3.797 \| good	16.168 \| good	26.708 \| good	0.221 \| good	2.144 \| good	0.133 \| good
2025-10-20T17:00:00.000Z	26 \| good	3.093 \| good	13.872 \| good	28.103 \| good	0.186 \| good	1.851 \| good	0.149 \| good
2025-10-20T18:00:00.000Z	27 \| good	2.249 \| good	10.027 \| good	29.078 \| good	0.182 \| good	1.572 \| good	0.149 \| good
2025-10-20T19:00:00.000Z	26 \| good	2.132 \| good	8.981 \| good	28.088 \| good	0.166 \| good	1.559 \| good	0.149 \| good
2025-10-20T20:00:00.000Z	26 \| good	2.099 \| good	8.759 \| good	28.235 \| good	0.172 \| good	1.638 \| good	0.149 \| good
2025-10-20T21:00:00.000Z	27 \| good	1.831 \| good	7.44 \| good	29.129 \| good	0.148 \| good	1.725 \| good	0.149 \| good
2025-10-20T22:00:00.000Z	26 \| good	1.791 \| good	7.857 \| good	28.397 \| good	0.17 \| good	3.576 \| good	0.149 \| good
2025-10-20T23:00:00.000Z	26 \| good	0.901 \| good	3.774 \| good	28.362 \| good	0.167 \| good	5.36 \| good	0.149 \| good
2025-10-21T00:00:00.000Z	26 \| good	0.715 \| good	2.779 \| good	28.205 \| good	0.15 \| good	6.337 \| good	0.149 \| good
2025-10-21T01:00:00.000Z	25 \| good	1.269 \| good	5.819 \| good	27.492 \| good	0.175 \| good	10.924 \| good	0.184 \| good
2025-10-21T02:00:00.000Z	22 \| good	2.235 \| good	10.125 \| good	23.52 \| good	0.148 \| good	12.656 \| good	0.263 \| good
2025-10-21T03:00:00.000Z	44 \| good	7.902 \| good	34.767 \| good	14.571 \| good	1.949 \| good	17.236 \| good	0.233 \| good
2025-10-21T04:00:00.000Z	22 \| good	3.737 \| good	15.939 \| good	12.128 \| good	0.191 \| good	15.026 \| good	0.332 \| good
2025-10-21T05:00:00.000Z	22 \| good	3.508 \| good	15.711 \| good	8.715 \| good	0.179 \| good	16.452 \| good	0.365 \| good
2025-10-21T06:00:00.000Z	27 \| good	4.674 \| good	20.739 \| good	5.673 \| good	0.171 \| good	16.506 \| good	0.384 \| good
2025-10-21T07:00:00.000Z	22 \| good	4.457 \| good	19.516 \| good	5.35 \| good	0.168 \| good	15.596 \| good	0.357 \| good
2025-10-21T08:00:00.000Z	22 \| good	4.065 \| good	17.946 \| good	3.014 \| good	0.226 \| good	14.957 \| good	0.351 \| good
2025-10-21T09:00:00.000Z	27 \| good	4.637 \| good	20.097 \| good	4.666 \| good	0.229 \| good	14.513 \| good	0.343 \| good
2025-10-21T10:00:00.000Z	27 \| good	4.581 \| good	19.442 \| good	3.047 \| good	0.325 \| good	16.496 \| good	0.343 \| good
2025-10-21T11:00:00.000Z	27 \| good	4.525 \| good	19.49 \| good	1.639 \| good	0.335 \| good	14.996 \| good	0.377 \| good
2025-10-21T12:00:00.000Z	33 \| good	5.861 \| good	23.827 \| good	3.544 \| good	0.408 \| good	15.137 \| good	0.565 \| good
2025-10-21T13:00:00.000Z	33 \| good	5.542 \| good	23.807 \| good	3.557 \| good	0.426 \| good	16.2 \| good	0.69 \| good
2025-10-21T14:00:00.000Z	27 \| good	4.575 \| good	20.53 \| good	5.037 \| good	0.356 \| good	17.624 \| good	0.708 \| good
2025-10-21T15:00:00.000Z	27 \| good	4.708 \| good	19.387 \| good	9.273 \| good	0.32 \| good	16.076 \| good	0.511 \| good
2025-10-21T16:00:00.000Z	27 \| good	4.755 \| good	21.77 \| good	14.745 \| good	0.339 \| good	9.798 \| good	0.299 \| good
2025-10-21T17:00:00.000Z	27 \| good	4.946 \| good	21.72 \| good	19.656 \| good	0.301 \| good	6.054 \| good	0.195 \| good
2025-10-21T18:00:00.000Z	22 \| good	3.633 \| good	16.029 \| good	23.773 \| good	0.283 \| good	5.26 \| good	0.176 \| good
2025-10-21T19:00:00.000Z	27 \| good	3.319 \| good	13.396 \| good	28.649 \| good	0.26 \| good	4.96 \| good	0.176 \| good
2025-10-21T20:00:00.000Z	28 \| good	3.098 \| good	13.245 \| good	29.579 \| good	0.293 \| good	4.465 \| good	0.195 \| good
2025-10-21T20:00:00.000Z	28 \| good	3.098 \| good	13.245 \| good	29.579 \| good	0.293 \| good	4.465 \| good	0.195 \| good
2025-10-21T21:00:00.000Z	36 \| good	5.937 \| good	26.198 \| good	38.765 \| good	1.65 \| good	3.828 \| good	0.163 \| good
2025-10-21T22:00:00.000Z	38 \| good	7.468 \| good	32.814 \| good	34.842 \| good	1.761 \| good	7.378 \| good	0.189 \| good
2025-10-21T23:00:00.000Z	49 \| good	8.553 \| good	37.968 \| good	25.934 \| good	1.873 \| good	10.928 \| good	0.215 \| good
2025-10-22T00:00:00.000Z	54 \| moderate	10.801 \| good	47.909 \| good	20.494 \| good	1.984 \| good	14.478 \| good	0.24 \| good
2025-10-22T01:00:00.000Z	44 \| good	8.065 \| good	35.437 \| good	20.231 \| good	1.844 \| good	13.275 \| good	0.23 \| good
2025-10-22T02:00:00.000Z	38 \| good	6.516 \| good	28.919 \| good	22.966 \| good	1.703 \| good	12.071 \| good	0.22 \| good
2025-10-22T03:00:00.000Z	27 \| good	4.763 \| good	20.863 \| good	27.249 \| good	1.563 \| good	10.867 \| good	0.209 \| good
2025-10-22T04:00:00.000Z	27 \| good	4.802 \| good	20.719 \| good	23.464 \| good	1.468 \| good	8.979 \| good	0.196 \| good
2025-10-22T05:00:00.000Z	27 \| good	5.424 \| good	23.33 \| good	22.231 \| good	1.373 \| good	7.091 \| good	0.183 \| good
2025-10-22T06:00:00.000Z	33 \| good	6.048 \| good	26.7 \| good	21.724 \| good	1.278 \| good	5.202 \| good	0.169 \| good
2025-10-22T07:00:00.000Z	27 \| good	4.869 \| good	20.976 \| good	21.945 \| good	1.758 \| good	4.466 \| good	0.16 \| good
2025-10-22T08:00:00.000Z	27 \| good	5.092 \| good	22.07 \| good	21.777 \| good	2.237 \| good	3.729 \| good	0.15 \| good
2025-10-22T09:00:00.000Z	27 \| good	4.518 \| good	19.886 \| good	20.726 \| good	2.717 \| good	2.993 \| good	0.14 \| good
2025-10-22T10:00:00.000Z	22 \| good	3.852 \| good	17.026 \| good	17.038 \| good	2.799 \| good	3.961 \| good	0.145 \| good
2025-10-22T11:00:00.000Z	22 \| good	3.905 \| good	17.017 \| good	10.003 \| good	2.882 \| good	4.929 \| good	0.15 \| good
2025-10-22T12:00:00.000Z	27 \| good	4.631 \| good	19.996 \| good	14.358 \| good	2.964 \| good	5.896 \| good	0.155 \| good
2025-10-22T13:00:00.000Z	22 \| good	3.959 \| good	17.17 \| good	22.483 \| good	2.932 \| good	4.689 \| good	0.148 \| good
2025-10-22T14:00:00.000Z	29 \| good	2.988 \| good	12.708 \| good	30.606 \| good	2.9 \| good	3.482 \| good	0.141 \| good
2025-10-22T15:00:00.000Z	29 \| good	3.058 \| good	12.759 \| good	31.49 \| good	2.868 \| good	2.275 \| good	0.134 \| good
2025-10-22T16:00:00.000Z	30 \| good	2.773 \| good	11.406 \| good	31.797 \| good	2.541 \| good	2.065 \| good	0.132 \| good
2025-10-22T17:00:00.000Z	31 \| good	2.115 \| good	8.539 \| good	33.026 \| good	2.213 \| good	1.854 \| good	0.129 \| good
2025-10-22T18:00:00.000Z	31 \| good	3.352 \| good	14.9 \| good	33.229 \| good	1.886 \| good	1.643 \| good	0.127 \| good
2025-10-22T19:00:00.000Z	30 \| good	2.588 \| good	10.549 \| good	32.248 \| good	1.787 \| good	2.139 \| good	0.13 \| good
2025-10-22T20:00:00.000Z	30 \| good	3.189 \| good	13.885 \| good	32.029 \| good	1.689 \| good	2.635 \| good	0.133 \| good
2025-10-22T21:00:00.000Z	29 \| good	2.905 \| good	12 \| good	31.149 \| good	1.59 \| good	3.13 \| good	0.136 \| good
2025-10-22T22:00:00.000Z	27 \| good	2.712 \| good	11.007 \| good	28.901 \| good	1.699 \| good	5.071 \| good	0.149 \| good
2025-10-22T23:00:00.000Z	26 \| good	2.268 \| good	9.409 \| good	27.904 \| good	1.808 \| good	7.011 \| good	0.162 \| good
2025-10-23T00:00:00.000Z	33 \| good	5.775 \| good	25.015 \| good	25.16 \| good	1.917 \| good	8.952 \| good	0.175 \| good
2025-10-23T01:00:00.000Z	33 \| good	6.27 \| good	27.721 \| good	20.389 \| good	2.109 \| good	8.364 \| good	0.17 \| good
2025-10-23T02:00:00.000Z	33 \| good	6.005 \| good	26.855 \| good	18.274 \| good	2.302 \| good	7.776 \| good	0.165 \| good
2025-10-23T03:00:00.000Z	33 \| good	6.434 \| good	28.6 \| good	16.981 \| good	2.494 \| good	7.189 \| good	0.159 \| good
2025-10-23T04:00:00.000Z	33 \| good	6.373 \| good	28.545 \| good	16.499 \| good	2.495 \| good	6.538 \| good	0.155 \| good
2025-10-23T05:00:00.000Z	38 \| good	7.002 \| good	30.968 \| good	17.892 \| good	2.495 \| good	5.887 \| good	0.151 \| good
2025-10-23T06:00:00.000Z	38 \| good	7.318 \| good	32.512 \| good	16.889 \| good	2.496 \| good	5.235 \| good	0.147 \| good
2025-10-23T07:00:00.000Z	38 \| good	6.616 \| good	29.544 \| good	14.188 \| good	2.331 \| good	4.695 \| good	0.143 \| good
2025-10-23T08:00:00.000Z	38 \| good	7.372 \| good	32.545 \| good	11.837 \| good	2.165 \| good	4.154 \| good	0.139 \| good
2025-10-23T09:00:00.000Z	38 \| good	6.856 \| good	30.383 \| good	9.624 \| good	2 \| good	3.614 \| good	0.135 \| good
2025-10-23T10:00:00.000Z	33 \| good	5.754 \| good	25.017 \| good	8.083 \| good	1.939 \| good	4.384 \| good	0.142 \| good
2025-10-23T11:00:00.000Z	27 \| good	5.261 \| good	22.817 \| good	5.284 \| good	1.878 \| good	5.154 \| good	0.148 \| good
2025-10-23T12:00:00.000Z	38 \| good	6.859 \| good	30.472 \| good	8.905 \| good	1.817 \| good	5.924 \| good	0.154 \| good
2025-10-23T13:00:00.000Z	33 \| good	6.029 \| good	26.316 \| good	20.473 \| good	2.011 \| good	4.802 \| good	0.149 \| good
2025-10-23T14:00:00.000Z	28 \| good	4.742 \| good	20.449 \| good	29.774 \| good	2.205 \| good	3.68 \| good	0.144 \| good
2025-10-23T15:00:00.000Z	31 \| good	3.676 \| good	16.13 \| good	32.706 \| good	2.399 \| good	2.558 \| good	0.139 \| good
2025-10-23T16:00:00.000Z	31 \| good	2.985 \| good	12.151 \| good	33.923 \| good	2.058 \| good	2.215 \| good	0.136 \| good
2025-10-23T17:00:00.000Z	34 \| good	1.232 \| good	4.977 \| good	36.669 \| good	1.717 \| good	1.873 \| good	0.132 \| good
2025-10-23T18:00:00.000Z	36 \| good	1.834 \| good	7.594 \| good	39.18 \| good	1.376 \| good	1.531 \| good	0.129 \| good
2025-10-23T19:00:00.000Z	37 \| good	2.063 \| good	8.577 \| good	39.912 \| good	1.295 \| good	1.734 \| good	0.13 \| good
2025-10-23T20:00:00.000Z	34 \| good	1.618 \| good	6.893 \| good	36.735 \| good	1.213 \| good	1.937 \| good	0.131 \| good

North Bethesda

Empower business decisions with accurate air quality data

Real-time air quality map: Monitor AQI near North Bethesda, Maryland

0.17ppm

How accurate is Maryland, USA air quality data?

The air quality data for Maryland, USA is gathered from reliable sources such as satellites and monitoring stations, adhering to US EPA guidelines. With the help of advanced algorithms and machine learning, factors like traffic and population density are analyzed to deliver accurate and dependable results.

Source: Ambee Data Sources

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Frequently asked questions

How frequently does the air quality data for North Bethesda, Maryland get updated?

Air quality updates for North Bethesda, Maryland are available every hour.

What time in the past 24 hours saw the poorest air quality in North Bethesda, Maryland?

North Bethesda, Maryland experienced its worst air quality at 03:00:00, 2025-10-21.

When was air quality in North Bethesda, Maryland the best over the past 24 hours?

The best air quality in North Bethesda, Maryland was observed at 06:00:00 on 2025-10-21.

What is the air quality in North Bethesda, Maryland right now?

The air quality in North Bethesda, Maryland right now is Good, with an AQI of 28.

What pollutant is most frequently found in North Bethesda, Maryland?

In North Bethesda, Maryland, O3 is the most frequently found pollutant.

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

When air quality in North Bethesda, Maryland is compromised, staying indoors and wearing a mask can reduce health risks.

What is the PM_2.5 concentration in North Bethesda, Maryland right now?

North Bethesda, Maryland currently has a PM_2.5 concentration of 3.098 μg/m³.

What is the current level of PM₁₀ in North Bethesda, Maryland?

North Bethesda, Maryland currently has a PM₁₀ concentration of 13.245 μg/m³.

What is the current level of carbon monoxide (CO) in North Bethesda, Maryland?

The current carbon monoxide (CO) level in North Bethesda, Maryland is 0.195 ppm.

What is the current level of sulfur dioxide (SO₂) in North Bethesda, Maryland?

The current sulfur dioxide (SO₂) concentration in North Bethesda, Maryland is 0.293 ppb.

What is the current level of ozone (O₃) in North Bethesda, Maryland?

North Bethesda, Maryland currently has an ozone (O₃) concentration of 29.579 ppm.

What is the current level of nitrogen dioxide (NO₂) in North Bethesda, Maryland?

The current level of nitrogen dioxide (NO₂) in North Bethesda, Maryland is 4.465 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T21:00:00.000Z	49 \| good	8.672 \| good	37.816 \| good	40.488 \| good	0.256 \| good	2.38 \| good	0.196 \| good
2025-10-19T22:00:00.000Z	44 \| good	8.031 \| good	34.673 \| good	41.149 \| good	0.264 \| good	2.547 \| good	0.196 \| good
2025-10-19T23:00:00.000Z	34 \| good	6.433 \| good	27.667 \| good	37.27 \| good	0.277 \| good	2.582 \| good	0.196 \| good
2025-10-20T00:00:00.000Z	33 \| good	5.621 \| good	24.235 \| good	34.678 \| good	0.243 \| good	2.915 \| good	0.196 \| good
2025-10-20T01:00:00.000Z	31 \| good	4.631 \| good	20.969 \| good	34.328 \| good	0.202 \| good	3.247 \| good	0.212 \| good
2025-10-20T02:00:00.000Z	34 \| good	4.454 \| good	19.189 \| good	36.751 \| good	0.215 \| good	2.557 \| good	0.212 \| good
2025-10-20T03:00:00.000Z	31 \| good	3.862 \| good	16.74 \| good	34.382 \| good	0.195 \| good	2.251 \| good	0.177 \| good
2025-10-20T04:00:00.000Z	32 \| good	3.896 \| good	16.831 \| good	35.412 \| good	0.176 \| good	2.058 \| good	0.177 \| good
2025-10-20T05:00:00.000Z	28 \| good	1.831 \| good	7.547 \| good	29.813 \| good	0.21 \| good	2.198 \| good	0.177 \| good
2025-10-20T06:00:00.000Z	27 \| good	1.39 \| good	5.925 \| good	28.818 \| good	0.137 \| good	2.906 \| good	0.177 \| good
2025-10-20T07:00:00.000Z	27 \| good	1.283 \| good	4.962 \| good	28.766 \| good	0.163 \| good	2.28 \| good	0.177 \| good
2025-10-20T08:00:00.000Z	21 \| good	2.268 \| good	9.725 \| good	23.228 \| good	0.139 \| good	2.963 \| good	0.177 \| good
2025-10-20T09:00:00.000Z	20 \| good	2.505 \| good	10.89 \| good	21.668 \| good	0.162 \| good	3.333 \| good	0.198 \| good
2025-10-20T10:00:00.000Z	21 \| good	2.203 \| good	8.928 \| good	22.895 \| good	0.163 \| good	2.27 \| good	0.177 \| good
2025-10-20T11:00:00.000Z	22 \| good	1.4 \| good	6.196 \| good	23.602 \| good	0.163 \| good	3.655 \| good	0.166 \| good
2025-10-20T12:00:00.000Z	22 \| good	1.437 \| good	6.124 \| good	24.283 \| good	0.176 \| good	4.022 \| good	0.133 \| good
2025-10-20T13:00:00.000Z	22 \| good	1.366 \| good	6.562 \| good	23.866 \| good	0.147 \| good	5.977 \| good	0.182 \| good
2025-10-20T14:00:00.000Z	22 \| good	3.823 \| good	16.586 \| good	22.004 \| good	0.17 \| good	5.963 \| good	0.203 \| good
2025-10-20T15:00:00.000Z	23 \| good	4.338 \| good	18.475 \| good	25.44 \| good	0.203 \| good	3.176 \| good	0.149 \| good
2025-10-20T16:00:00.000Z	25 \| good	3.797 \| good	16.168 \| good	26.708 \| good	0.221 \| good	2.144 \| good	0.133 \| good
2025-10-20T17:00:00.000Z	26 \| good	3.093 \| good	13.872 \| good	28.103 \| good	0.186 \| good	1.851 \| good	0.149 \| good
2025-10-20T18:00:00.000Z	27 \| good	2.249 \| good	10.027 \| good	29.078 \| good	0.182 \| good	1.572 \| good	0.149 \| good
2025-10-20T19:00:00.000Z	26 \| good	2.132 \| good	8.981 \| good	28.088 \| good	0.166 \| good	1.559 \| good	0.149 \| good
2025-10-20T20:00:00.000Z	26 \| good	2.099 \| good	8.759 \| good	28.235 \| good	0.172 \| good	1.638 \| good	0.149 \| good
2025-10-20T21:00:00.000Z	27 \| good	1.831 \| good	7.44 \| good	29.129 \| good	0.148 \| good	1.725 \| good	0.149 \| good
2025-10-20T22:00:00.000Z	26 \| good	1.791 \| good	7.857 \| good	28.397 \| good	0.17 \| good	3.576 \| good	0.149 \| good
2025-10-20T23:00:00.000Z	26 \| good	0.901 \| good	3.774 \| good	28.362 \| good	0.167 \| good	5.36 \| good	0.149 \| good
2025-10-21T00:00:00.000Z	26 \| good	0.715 \| good	2.779 \| good	28.205 \| good	0.15 \| good	6.337 \| good	0.149 \| good
2025-10-21T01:00:00.000Z	25 \| good	1.269 \| good	5.819 \| good	27.492 \| good	0.175 \| good	10.924 \| good	0.184 \| good
2025-10-21T02:00:00.000Z	22 \| good	2.235 \| good	10.125 \| good	23.52 \| good	0.148 \| good	12.656 \| good	0.263 \| good
2025-10-21T03:00:00.000Z	44 \| good	7.902 \| good	34.767 \| good	14.571 \| good	1.949 \| good	17.236 \| good	0.233 \| good
2025-10-21T04:00:00.000Z	22 \| good	3.737 \| good	15.939 \| good	12.128 \| good	0.191 \| good	15.026 \| good	0.332 \| good
2025-10-21T05:00:00.000Z	22 \| good	3.508 \| good	15.711 \| good	8.715 \| good	0.179 \| good	16.452 \| good	0.365 \| good
2025-10-21T06:00:00.000Z	27 \| good	4.674 \| good	20.739 \| good	5.673 \| good	0.171 \| good	16.506 \| good	0.384 \| good
2025-10-21T07:00:00.000Z	22 \| good	4.457 \| good	19.516 \| good	5.35 \| good	0.168 \| good	15.596 \| good	0.357 \| good
2025-10-21T08:00:00.000Z	22 \| good	4.065 \| good	17.946 \| good	3.014 \| good	0.226 \| good	14.957 \| good	0.351 \| good
2025-10-21T09:00:00.000Z	27 \| good	4.637 \| good	20.097 \| good	4.666 \| good	0.229 \| good	14.513 \| good	0.343 \| good
2025-10-21T10:00:00.000Z	27 \| good	4.581 \| good	19.442 \| good	3.047 \| good	0.325 \| good	16.496 \| good	0.343 \| good
2025-10-21T11:00:00.000Z	27 \| good	4.525 \| good	19.49 \| good	1.639 \| good	0.335 \| good	14.996 \| good	0.377 \| good
2025-10-21T12:00:00.000Z	33 \| good	5.861 \| good	23.827 \| good	3.544 \| good	0.408 \| good	15.137 \| good	0.565 \| good
2025-10-21T13:00:00.000Z	33 \| good	5.542 \| good	23.807 \| good	3.557 \| good	0.426 \| good	16.2 \| good	0.69 \| good
2025-10-21T14:00:00.000Z	27 \| good	4.575 \| good	20.53 \| good	5.037 \| good	0.356 \| good	17.624 \| good	0.708 \| good
2025-10-21T15:00:00.000Z	27 \| good	4.708 \| good	19.387 \| good	9.273 \| good	0.32 \| good	16.076 \| good	0.511 \| good
2025-10-21T16:00:00.000Z	27 \| good	4.755 \| good	21.77 \| good	14.745 \| good	0.339 \| good	9.798 \| good	0.299 \| good
2025-10-21T17:00:00.000Z	27 \| good	4.946 \| good	21.72 \| good	19.656 \| good	0.301 \| good	6.054 \| good	0.195 \| good
2025-10-21T18:00:00.000Z	22 \| good	3.633 \| good	16.029 \| good	23.773 \| good	0.283 \| good	5.26 \| good	0.176 \| good
2025-10-21T19:00:00.000Z	27 \| good	3.319 \| good	13.396 \| good	28.649 \| good	0.26 \| good	4.96 \| good	0.176 \| good
2025-10-21T20:00:00.000Z	28 \| good	3.098 \| good	13.245 \| good	29.579 \| good	0.293 \| good	4.465 \| good	0.195 \| good
2025-10-21T20:00:00.000Z	28 \| good	3.098 \| good	13.245 \| good	29.579 \| good	0.293 \| good	4.465 \| good	0.195 \| good
2025-10-21T21:00:00.000Z	36 \| good	5.937 \| good	26.198 \| good	38.765 \| good	1.65 \| good	3.828 \| good	0.163 \| good
2025-10-21T22:00:00.000Z	38 \| good	7.468 \| good	32.814 \| good	34.842 \| good	1.761 \| good	7.378 \| good	0.189 \| good
2025-10-21T23:00:00.000Z	49 \| good	8.553 \| good	37.968 \| good	25.934 \| good	1.873 \| good	10.928 \| good	0.215 \| good
2025-10-22T00:00:00.000Z	54 \| moderate	10.801 \| good	47.909 \| good	20.494 \| good	1.984 \| good	14.478 \| good	0.24 \| good
2025-10-22T01:00:00.000Z	44 \| good	8.065 \| good	35.437 \| good	20.231 \| good	1.844 \| good	13.275 \| good	0.23 \| good
2025-10-22T02:00:00.000Z	38 \| good	6.516 \| good	28.919 \| good	22.966 \| good	1.703 \| good	12.071 \| good	0.22 \| good
2025-10-22T03:00:00.000Z	27 \| good	4.763 \| good	20.863 \| good	27.249 \| good	1.563 \| good	10.867 \| good	0.209 \| good
2025-10-22T04:00:00.000Z	27 \| good	4.802 \| good	20.719 \| good	23.464 \| good	1.468 \| good	8.979 \| good	0.196 \| good
2025-10-22T05:00:00.000Z	27 \| good	5.424 \| good	23.33 \| good	22.231 \| good	1.373 \| good	7.091 \| good	0.183 \| good
2025-10-22T06:00:00.000Z	33 \| good	6.048 \| good	26.7 \| good	21.724 \| good	1.278 \| good	5.202 \| good	0.169 \| good
2025-10-22T07:00:00.000Z	27 \| good	4.869 \| good	20.976 \| good	21.945 \| good	1.758 \| good	4.466 \| good	0.16 \| good
2025-10-22T08:00:00.000Z	27 \| good	5.092 \| good	22.07 \| good	21.777 \| good	2.237 \| good	3.729 \| good	0.15 \| good
2025-10-22T09:00:00.000Z	27 \| good	4.518 \| good	19.886 \| good	20.726 \| good	2.717 \| good	2.993 \| good	0.14 \| good
2025-10-22T10:00:00.000Z	22 \| good	3.852 \| good	17.026 \| good	17.038 \| good	2.799 \| good	3.961 \| good	0.145 \| good
2025-10-22T11:00:00.000Z	22 \| good	3.905 \| good	17.017 \| good	10.003 \| good	2.882 \| good	4.929 \| good	0.15 \| good
2025-10-22T12:00:00.000Z	27 \| good	4.631 \| good	19.996 \| good	14.358 \| good	2.964 \| good	5.896 \| good	0.155 \| good
2025-10-22T13:00:00.000Z	22 \| good	3.959 \| good	17.17 \| good	22.483 \| good	2.932 \| good	4.689 \| good	0.148 \| good
2025-10-22T14:00:00.000Z	29 \| good	2.988 \| good	12.708 \| good	30.606 \| good	2.9 \| good	3.482 \| good	0.141 \| good
2025-10-22T15:00:00.000Z	29 \| good	3.058 \| good	12.759 \| good	31.49 \| good	2.868 \| good	2.275 \| good	0.134 \| good
2025-10-22T16:00:00.000Z	30 \| good	2.773 \| good	11.406 \| good	31.797 \| good	2.541 \| good	2.065 \| good	0.132 \| good
2025-10-22T17:00:00.000Z	31 \| good	2.115 \| good	8.539 \| good	33.026 \| good	2.213 \| good	1.854 \| good	0.129 \| good
2025-10-22T18:00:00.000Z	31 \| good	3.352 \| good	14.9 \| good	33.229 \| good	1.886 \| good	1.643 \| good	0.127 \| good
2025-10-22T19:00:00.000Z	30 \| good	2.588 \| good	10.549 \| good	32.248 \| good	1.787 \| good	2.139 \| good	0.13 \| good
2025-10-22T20:00:00.000Z	30 \| good	3.189 \| good	13.885 \| good	32.029 \| good	1.689 \| good	2.635 \| good	0.133 \| good
2025-10-22T21:00:00.000Z	29 \| good	2.905 \| good	12 \| good	31.149 \| good	1.59 \| good	3.13 \| good	0.136 \| good
2025-10-22T22:00:00.000Z	27 \| good	2.712 \| good	11.007 \| good	28.901 \| good	1.699 \| good	5.071 \| good	0.149 \| good
2025-10-22T23:00:00.000Z	26 \| good	2.268 \| good	9.409 \| good	27.904 \| good	1.808 \| good	7.011 \| good	0.162 \| good
2025-10-23T00:00:00.000Z	33 \| good	5.775 \| good	25.015 \| good	25.16 \| good	1.917 \| good	8.952 \| good	0.175 \| good
2025-10-23T01:00:00.000Z	33 \| good	6.27 \| good	27.721 \| good	20.389 \| good	2.109 \| good	8.364 \| good	0.17 \| good
2025-10-23T02:00:00.000Z	33 \| good	6.005 \| good	26.855 \| good	18.274 \| good	2.302 \| good	7.776 \| good	0.165 \| good
2025-10-23T03:00:00.000Z	33 \| good	6.434 \| good	28.6 \| good	16.981 \| good	2.494 \| good	7.189 \| good	0.159 \| good
2025-10-23T04:00:00.000Z	33 \| good	6.373 \| good	28.545 \| good	16.499 \| good	2.495 \| good	6.538 \| good	0.155 \| good
2025-10-23T05:00:00.000Z	38 \| good	7.002 \| good	30.968 \| good	17.892 \| good	2.495 \| good	5.887 \| good	0.151 \| good
2025-10-23T06:00:00.000Z	38 \| good	7.318 \| good	32.512 \| good	16.889 \| good	2.496 \| good	5.235 \| good	0.147 \| good
2025-10-23T07:00:00.000Z	38 \| good	6.616 \| good	29.544 \| good	14.188 \| good	2.331 \| good	4.695 \| good	0.143 \| good
2025-10-23T08:00:00.000Z	38 \| good	7.372 \| good	32.545 \| good	11.837 \| good	2.165 \| good	4.154 \| good	0.139 \| good
2025-10-23T09:00:00.000Z	38 \| good	6.856 \| good	30.383 \| good	9.624 \| good	2 \| good	3.614 \| good	0.135 \| good
2025-10-23T10:00:00.000Z	33 \| good	5.754 \| good	25.017 \| good	8.083 \| good	1.939 \| good	4.384 \| good	0.142 \| good
2025-10-23T11:00:00.000Z	27 \| good	5.261 \| good	22.817 \| good	5.284 \| good	1.878 \| good	5.154 \| good	0.148 \| good
2025-10-23T12:00:00.000Z	38 \| good	6.859 \| good	30.472 \| good	8.905 \| good	1.817 \| good	5.924 \| good	0.154 \| good
2025-10-23T13:00:00.000Z	33 \| good	6.029 \| good	26.316 \| good	20.473 \| good	2.011 \| good	4.802 \| good	0.149 \| good
2025-10-23T14:00:00.000Z	28 \| good	4.742 \| good	20.449 \| good	29.774 \| good	2.205 \| good	3.68 \| good	0.144 \| good
2025-10-23T15:00:00.000Z	31 \| good	3.676 \| good	16.13 \| good	32.706 \| good	2.399 \| good	2.558 \| good	0.139 \| good
2025-10-23T16:00:00.000Z	31 \| good	2.985 \| good	12.151 \| good	33.923 \| good	2.058 \| good	2.215 \| good	0.136 \| good
2025-10-23T17:00:00.000Z	34 \| good	1.232 \| good	4.977 \| good	36.669 \| good	1.717 \| good	1.873 \| good	0.132 \| good
2025-10-23T18:00:00.000Z	36 \| good	1.834 \| good	7.594 \| good	39.18 \| good	1.376 \| good	1.531 \| good	0.129 \| good
2025-10-23T19:00:00.000Z	37 \| good	2.063 \| good	8.577 \| good	39.912 \| good	1.295 \| good	1.734 \| good	0.13 \| good
2025-10-23T20:00:00.000Z	34 \| good	1.618 \| good	6.893 \| good	36.735 \| good	1.213 \| good	1.937 \| good	0.131 \| good

Current air quality index in North Bethesda, Maryland today

Common air pollutants in North Bethesda, Maryland

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live North Bethesda, Maryland air quality forecast and history

Empower business decisions with accurate air quality data

Real-time air quality map: Monitor AQI near North Bethesda, Maryland

Air quality in nearby cities

Rockville, Maryland

Aspen Hill, Maryland

Wheaton, Maryland

Glenmont, Maryland

Bethesda, Maryland

Potomac, Maryland

How accurate is Maryland, USA air quality data?

Air quality levels in US

Frequently asked questions

How frequently does the air quality data for North Bethesda, Maryland get updated?

What time in the past 24 hours saw the poorest air quality in North Bethesda, Maryland?

When was air quality in North Bethesda, Maryland the best over the past 24 hours?

What is the air quality in North Bethesda, Maryland right now?

What pollutant is most frequently found in North Bethesda, Maryland?

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

What is the PM2.5 concentration in North Bethesda, Maryland right now?

What is the current level of PM10 in North Bethesda, Maryland?

What is the current level of carbon monoxide (CO) in North Bethesda, Maryland?

What is the current level of sulfur dioxide (SO2) in North Bethesda, Maryland?

What is the current level of ozone (O3) in North Bethesda, Maryland?

What is the current level of nitrogen dioxide (NO2) in North Bethesda, Maryland?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What is the PM_2.5 concentration in North Bethesda, Maryland right now?

What is the current level of PM₁₀ in North Bethesda, Maryland?

What is the current level of sulfur dioxide (SO₂) in North Bethesda, Maryland?

What is the current level of ozone (O₃) in North Bethesda, Maryland?

What is the current level of nitrogen dioxide (NO₂) in North Bethesda, Maryland?