What is the current concentration of PM10 in Fort Washington, Maryland?

The current PM10 concentration at Fort Washington, Maryland is 17.187 μg/m3.

What is the current concentration of sulfur dioxide (SO2) in Fort Washington, Maryland?

The current sulfur dioxide (SO2) concentration at Fort Washington, Maryland is 0.303 ppb.

What is the current concentration of ozone (O3) in Fort Washington, Maryland?

The current ozone (O3) concentration at Fort Washington, Maryland is 37.812 ppm.

What is the current concentration of nitrogen dioxide (NO2) in Fort Washington, Maryland?

The current nitrogen dioxide (NO2) concentration at Fort Washington, Maryland is 4.218 ppb.

Fort Washington, Maryland live air quality index now

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

Stay updated with real-time air quality in Fort Washington, 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

Fort Washington, Maryland

Last updated: ... (Local time)

Major air pollutants in Fort Washington, Maryland

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

3.92 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

17.19 μg/m³

155

255

425

605+

Ozone (O₃)

37.81 ppb

201

201+

Sulfur Dioxide (SO₂)

0.30 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

4.22 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.17 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Moderate

Fort Washington, Maryland

Get Live Pollen Counts

Fort Washington, Maryland

Scroll To Air Quality Map

Track live Fort Washington, Maryland air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T21:00:00.000Z	42 \| good	7.265 \| good	35.444 \| good	45.136 \| good	0.288 \| good	2.533 \| good	0.176 \| good
2025-10-19T22:00:00.000Z	41 \| good	4.805 \| good	14.278 \| good	44.207 \| good	0.296 \| good	2.881 \| good	0.176 \| good
2025-10-19T23:00:00.000Z	33 \| good	5.016 \| good	16.272 \| good	36.269 \| good	0.304 \| good	3.145 \| good	0.176 \| good
2025-10-20T00:00:00.000Z	34 \| good	4.663 \| good	21.945 \| good	37.149 \| good	0.245 \| good	4.334 \| good	0.176 \| good
2025-10-20T01:00:00.000Z	37 \| good	4.485 \| good	19.012 \| good	40.383 \| good	0.224 \| good	4.352 \| good	0.201 \| good
2025-10-20T02:00:00.000Z	37 \| good	4.06 \| good	19.246 \| good	39.764 \| good	0.196 \| good	3.675 \| good	0.201 \| good
2025-10-20T03:00:00.000Z	34 \| good	4.61 \| good	16.376 \| good	37.346 \| good	0.215 \| good	1.905 \| good	0.154 \| good
2025-10-20T04:00:00.000Z	31 \| good	4.031 \| good	12.35 \| good	32.715 \| good	0.194 \| good	1.894 \| good	0.154 \| good
2025-10-20T05:00:00.000Z	27 \| good	2.929 \| good	7.924 \| good	29.413 \| good	0.212 \| good	2.05 \| good	0.154 \| good
2025-10-20T06:00:00.000Z	29 \| good	2.536 \| good	8.571 \| good	30.9 \| good	0.122 \| good	2.918 \| good	0.154 \| good
2025-10-20T07:00:00.000Z	31 \| good	2.449 \| good	6.798 \| good	33.447 \| good	0.177 \| good	2.082 \| good	0.154 \| good
2025-10-20T08:00:00.000Z	26 \| good	2.643 \| good	5.953 \| good	28.297 \| good	0.129 \| good	3.4 \| good	0.154 \| good
2025-10-20T09:00:00.000Z	24 \| good	2.242 \| good	8.485 \| good	26.067 \| good	0.185 \| good	4.664 \| good	0.189 \| good
2025-10-20T10:00:00.000Z	23 \| good	2.181 \| good	8.678 \| good	25.24 \| good	0.183 \| good	2.292 \| good	0.154 \| good
2025-10-20T11:00:00.000Z	21 \| good	2.255 \| good	8.254 \| good	23.03 \| good	0.181 \| good	2.914 \| good	0.14 \| good
2025-10-20T12:00:00.000Z	21 \| good	1.53 \| good	6.467 \| good	22.875 \| good	0.192 \| good	3.197 \| good	0.12 \| good
2025-10-20T13:00:00.000Z	19 \| good	1.977 \| good	6.582 \| good	20.811 \| good	0.139 \| good	6.331 \| good	0.166 \| good
2025-10-20T14:00:00.000Z	22 \| good	2.588 \| good	5.462 \| good	23.914 \| good	0.189 \| good	6.685 \| good	0.198 \| good
2025-10-20T15:00:00.000Z	25 \| good	2.156 \| good	7.42 \| good	26.537 \| good	0.25 \| good	3.617 \| good	0.146 \| good
2025-10-20T16:00:00.000Z	26 \| good	2.364 \| good	7.082 \| good	28.458 \| good	0.196 \| good	2.304 \| good	0.12 \| good
2025-10-20T17:00:00.000Z	26 \| good	2.198 \| good	9.29 \| good	28.455 \| good	0.2 \| good	1.91 \| good	0.133 \| good
2025-10-20T18:00:00.000Z	30 \| good	1.724 \| good	7.741 \| good	31.634 \| good	0.192 \| good	1.737 \| good	0.146 \| good
2025-10-20T19:00:00.000Z	30 \| good	1.945 \| good	6.285 \| good	31.925 \| good	0.188 \| good	1.677 \| good	0.146 \| good
2025-10-20T20:00:00.000Z	31 \| good	1.41 \| good	10.628 \| good	34.125 \| good	0.192 \| good	1.739 \| good	0.146 \| good
2025-10-20T21:00:00.000Z	32 \| good	2.063 \| good	8.275 \| good	34.515 \| good	0.168 \| good	1.978 \| good	0.146 \| good
2025-10-20T22:00:00.000Z	31 \| good	1.952 \| good	8.038 \| good	33.615 \| good	0.185 \| good	2.772 \| good	0.146 \| good
2025-10-20T23:00:00.000Z	29 \| good	1.783 \| good	8.325 \| good	31.018 \| good	0.184 \| good	2.565 \| good	0.146 \| good
2025-10-21T00:00:00.000Z	30 \| good	2.44 \| good	9.922 \| good	32.278 \| good	0.207 \| good	3.283 \| good	0.146 \| good
2025-10-21T01:00:00.000Z	24 \| good	3.258 \| good	12.601 \| good	26.024 \| good	0.206 \| good	5.366 \| good	0.188 \| good
2025-10-21T02:00:00.000Z	27 \| good	4.636 \| good	16.517 \| good	21.861 \| good	0.163 \| good	9.078 \| good	0.256 \| good
2025-10-21T03:00:00.000Z	38 \| good	7.253 \| good	31.969 \| good	16.477 \| good	2.083 \| good	19.871 \| good	0.255 \| good
2025-10-21T04:00:00.000Z	54 \| moderate	10.699 \| good	18.129 \| good	14.336 \| good	0.24 \| good	14.856 \| good	0.379 \| good
2025-10-21T05:00:00.000Z	22 \| good	3.9 \| good	10.095 \| good	11.088 \| good	0.195 \| good	18.119 \| good	0.387 \| good
2025-10-21T06:00:00.000Z	22 \| good	4.147 \| good	9.913 \| good	9.874 \| good	0.188 \| good	19.86 \| good	0.397 \| good
2025-10-21T07:00:00.000Z	33 \| good	5.542 \| good	10.064 \| good	8.76 \| good	0.19 \| good	18.79 \| good	0.383 \| good
2025-10-21T08:00:00.000Z	33 \| good	6.127 \| good	10.733 \| good	11.159 \| good	0.222 \| good	18.132 \| good	0.376 \| good
2025-10-21T09:00:00.000Z	52 \| moderate	10.29 \| good	21.767 \| good	10.342 \| good	0.221 \| good	16.532 \| good	0.339 \| good
2025-10-21T10:00:00.000Z	27 \| good	4.656 \| good	19.897 \| good	6.134 \| good	0.271 \| good	18.068 \| good	0.339 \| good
2025-10-21T11:00:00.000Z	58 \| moderate	13.496 \| fine	21.015 \| good	4.066 \| good	0.278 \| good	15.081 \| good	0.374 \| good
2025-10-21T12:00:00.000Z	27 \| good	5.176 \| good	18.893 \| good	6.204 \| good	0.326 \| good	15.707 \| good	0.56 \| good
2025-10-21T13:00:00.000Z	38 \| good	6.784 \| good	20.38 \| good	3.742 \| good	0.393 \| good	16.758 \| good	0.689 \| good
2025-10-21T14:00:00.000Z	38 \| good	6.63 \| good	24.714 \| good	5.771 \| good	0.343 \| good	18.109 \| good	0.737 \| good
2025-10-21T15:00:00.000Z	27 \| good	4.954 \| good	17.668 \| good	13.812 \| good	0.333 \| good	18.007 \| good	0.56 \| good
2025-10-21T16:00:00.000Z	33 \| good	5.69 \| good	16.642 \| good	17.854 \| good	0.357 \| good	10.56 \| good	0.316 \| good
2025-10-21T17:00:00.000Z	22 \| good	3.705 \| good	14.49 \| good	21.335 \| good	0.282 \| good	7.669 \| good	0.174 \| good
2025-10-21T18:00:00.000Z	26 \| good	4.159 \| good	11.458 \| good	28.149 \| good	0.276 \| good	4.734 \| good	0.147 \| good
2025-10-21T19:00:00.000Z	32 \| good	3.642 \| good	13.302 \| good	35.378 \| good	0.252 \| good	4.125 \| good	0.147 \| good
2025-10-21T20:00:00.000Z	35 \| good	3.922 \| good	17.187 \| good	37.812 \| good	0.303 \| good	4.218 \| good	0.174 \| good
2025-10-21T20:00:00.000Z	35 \| good	3.922 \| good	17.187 \| good	37.812 \| good	0.303 \| good	4.218 \| good	0.174 \| good
2025-10-21T21:00:00.000Z	41 \| good	5.468 \| good	23.043 \| good	44.476 \| good	1.617 \| good	2.879 \| good	0.155 \| good
2025-10-21T22:00:00.000Z	39 \| good	4.892 \| good	21.004 \| good	41.621 \| good	1.702 \| good	5.164 \| good	0.169 \| good
2025-10-21T23:00:00.000Z	37 \| good	4.951 \| good	20.994 \| good	39.696 \| good	1.787 \| good	7.449 \| good	0.184 \| good
2025-10-22T00:00:00.000Z	38 \| good	6.755 \| good	29.977 \| good	35.921 \| good	1.872 \| good	9.733 \| good	0.198 \| good
2025-10-22T01:00:00.000Z	38 \| good	7.229 \| good	31.95 \| good	27.568 \| good	1.831 \| good	8.754 \| good	0.19 \| good
2025-10-22T02:00:00.000Z	38 \| good	6.781 \| good	29.947 \| good	24.965 \| good	1.79 \| good	7.775 \| good	0.182 \| good
2025-10-22T03:00:00.000Z	31 \| good	4.681 \| good	20.044 \| good	32.68 \| good	1.749 \| good	6.796 \| good	0.173 \| good
2025-10-22T04:00:00.000Z	29 \| good	4.537 \| good	19.966 \| good	31.447 \| good	1.635 \| good	6.233 \| good	0.171 \| good
2025-10-22T05:00:00.000Z	27 \| good	4.774 \| good	20.969 \| good	26.346 \| good	1.521 \| good	5.669 \| good	0.169 \| good
2025-10-22T06:00:00.000Z	27 \| good	4.822 \| good	21.017 \| good	23.736 \| good	1.407 \| good	5.105 \| good	0.167 \| good
2025-10-22T07:00:00.000Z	22 \| good	4.471 \| good	19.046 \| good	23.897 \| good	1.601 \| good	4.61 \| good	0.16 \| good
2025-10-22T08:00:00.000Z	23 \| good	4.141 \| good	18.032 \| good	24.561 \| good	1.794 \| good	4.114 \| good	0.153 \| good
2025-10-22T09:00:00.000Z	23 \| good	3.77 \| good	16.057 \| good	24.511 \| good	1.988 \| good	3.619 \| good	0.146 \| good
2025-10-22T10:00:00.000Z	19 \| good	3.148 \| good	13.907 \| good	21.424 \| good	2.09 \| good	4.578 \| good	0.152 \| good
2025-10-22T11:00:00.000Z	16 \| good	2.647 \| good	10.955 \| good	16.729 \| good	2.192 \| good	5.538 \| good	0.157 \| good
2025-10-22T12:00:00.000Z	18 \| good	1.539 \| good	6.021 \| good	19.234 \| good	2.294 \| good	6.498 \| good	0.162 \| good
2025-10-22T13:00:00.000Z	23 \| good	1.833 \| good	7.975 \| good	25.417 \| good	2.316 \| good	5.092 \| good	0.153 \| good
2025-10-22T14:00:00.000Z	30 \| good	1.96 \| good	8.017 \| good	32.057 \| good	2.337 \| good	3.687 \| good	0.144 \| good
2025-10-22T15:00:00.000Z	31 \| good	1.659 \| good	6.984 \| good	33.815 \| good	2.359 \| good	2.282 \| good	0.135 \| good
2025-10-22T16:00:00.000Z	32 \| good	2.133 \| good	8.962 \| good	35.007 \| good	2.041 \| good	2.035 \| good	0.133 \| good
2025-10-22T17:00:00.000Z	33 \| good	2.12 \| good	8.955 \| good	36.2 \| good	1.723 \| good	1.789 \| good	0.13 \| good
2025-10-22T18:00:00.000Z	34 \| good	3.328 \| good	14.941 \| good	37.041 \| good	1.406 \| good	1.542 \| good	0.127 \| good
2025-10-22T19:00:00.000Z	34 \| good	2.688 \| good	10.959 \| good	37.345 \| good	1.345 \| good	1.997 \| good	0.129 \| good
2025-10-22T20:00:00.000Z	32 \| good	3.215 \| good	13.951 \| good	34.605 \| good	1.285 \| good	2.452 \| good	0.132 \| good
2025-10-22T21:00:00.000Z	31 \| good	2.325 \| good	9.928 \| good	33.172 \| good	1.224 \| good	2.908 \| good	0.134 \| good
2025-10-22T22:00:00.000Z	26 \| good	2.649 \| good	10.979 \| good	27.823 \| good	1.433 \| good	5.683 \| good	0.153 \| good
2025-10-22T23:00:00.000Z	24 \| good	2.949 \| good	11.994 \| good	26.058 \| good	1.642 \| good	8.458 \| good	0.172 \| good
2025-10-23T00:00:00.000Z	33 \| good	5.735 \| good	24.984 \| good	20.162 \| good	1.851 \| good	11.234 \| good	0.191 \| good
2025-10-23T01:00:00.000Z	33 \| good	6.045 \| good	26.932 \| good	15.18 \| good	1.973 \| good	10.569 \| good	0.185 \| good
2025-10-23T02:00:00.000Z	33 \| good	5.953 \| good	26.947 \| good	16.782 \| good	2.095 \| good	9.905 \| good	0.179 \| good
2025-10-23T03:00:00.000Z	33 \| good	5.764 \| good	25.017 \| good	17.926 \| good	2.218 \| good	9.24 \| good	0.173 \| good
2025-10-23T04:00:00.000Z	33 \| good	5.729 \| good	24.99 \| good	18.03 \| good	2.144 \| good	8.258 \| good	0.167 \| good
2025-10-23T05:00:00.000Z	33 \| good	6.267 \| good	27.984 \| good	16.614 \| good	2.07 \| good	7.275 \| good	0.161 \| good
2025-10-23T06:00:00.000Z	33 \| good	6.08 \| good	26.977 \| good	16.463 \| good	1.997 \| good	6.293 \| good	0.156 \| good
2025-10-23T07:00:00.000Z	33 \| good	5.589 \| good	24.039 \| good	15.384 \| good	1.804 \| good	5.46 \| good	0.15 \| good
2025-10-23T08:00:00.000Z	27 \| good	5.24 \| good	22.945 \| good	15.255 \| good	1.611 \| good	4.627 \| good	0.144 \| good
2025-10-23T09:00:00.000Z	27 \| good	4.772 \| good	20.977 \| good	14.162 \| good	1.418 \| good	3.794 \| good	0.138 \| good
2025-10-23T10:00:00.000Z	22 \| good	4.177 \| good	18.009 \| good	11.671 \| good	1.392 \| good	4.403 \| good	0.143 \| good
2025-10-23T11:00:00.000Z	22 \| good	3.964 \| good	17.027 \| good	9.215 \| good	1.365 \| good	5.013 \| good	0.147 \| good
2025-10-23T12:00:00.000Z	16 \| good	2.886 \| good	12.004 \| good	12.976 \| good	1.339 \| good	5.622 \| good	0.152 \| good
2025-10-23T13:00:00.000Z	27 \| good	4.74 \| good	20.945 \| good	22.353 \| good	1.601 \| good	4.57 \| good	0.147 \| good
2025-10-23T14:00:00.000Z	29 \| good	4.064 \| good	17.985 \| good	31.061 \| good	1.862 \| good	3.517 \| good	0.142 \| good
2025-10-23T15:00:00.000Z	33 \| good	2.544 \| good	10.048 \| good	35.61 \| good	2.124 \| good	2.465 \| good	0.137 \| good
2025-10-23T16:00:00.000Z	34 \| good	2.93 \| good	11.997 \| good	37.091 \| good	1.927 \| good	2.148 \| good	0.133 \| good
2025-10-23T17:00:00.000Z	35 \| good	1.9 \| good	8 \| good	37.949 \| good	1.729 \| good	1.831 \| good	0.129 \| good
2025-10-23T18:00:00.000Z	36 \| good	2.02 \| good	8.024 \| good	39.478 \| good	1.532 \| good	1.514 \| good	0.125 \| good
2025-10-23T19:00:00.000Z	38 \| good	2.128 \| good	8.96 \| good	40.735 \| good	1.411 \| good	1.707 \| good	0.125 \| good
2025-10-23T20:00:00.000Z	35 \| good	1.899 \| good	7.984 \| good	38.173 \| good	1.29 \| good	1.9 \| good	0.126 \| good

Fort Washington

Get reliable air quality data to drive your business

Fort Washington, Maryland air quality map: Track AQI near you

0.15ppm

How accurate is Maryland, USA air quality data?

Air quality data and pollutant measurements for Maryland, USA adhere to strict US EPA standards. The data is collected from multiple reliable sources, including satellites and ground-based monitoring stations. This data is further analyzed and enhanced using machine learning and advanced algorithms that factor in elements such as traffic and population density, ensuring accurate and reliable results.

Source: Ambee Data Sources

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Frequently asked questions

How often is the air quality data for Fort Washington, Maryland updated?

The air quality for Fort Washington, Maryland is updated every hour.

When was the worst air quality at Fort Washington, Maryland in the last 24 hrs?

The worst air quality in Fort Washington, Maryland in the last 24 hours was observed at 11:00:00 on 2025-10-21.

When was the best air quality at Fort Washington, Maryland in the last 24 hrs?

In the last 24 hrs, the best air quality in Fort Washington, Maryland was observed at 05:00:00 on 2025-10-21.

What is the current air quality in Fort Washington, Maryland?

The current air quality in Fort Washington, Maryland is 35, categorized as Good based on real-time data.

What pollutant is the most common in Fort Washington, Maryland?

The most common pollutant in Fort Washington, Maryland is O3.

What should I do if the air quality in Fort Washington, Maryland is poor?

If the air quality in Fort Washington, Maryland is poor, consider staying indoors and wearing a mask to protect yourself.

What is the current concentration of PM_2.5 in Fort Washington, Maryland?

The current PM_2.5 concentration at Fort Washington, Maryland is 3.922 μg/m³.

What is the current concentration of PM₁₀ in Fort Washington, Maryland?

The current PM₁₀ concentration at Fort Washington, Maryland is 17.187 μg/m³.

What is the current concentration of carbon monoxide (CO) in Fort Washington, Maryland?

The current carbon monoxide (CO) concentration at Fort Washington, Maryland is 0.174 ppm.

What is the current concentration of sulfur dioxide (SO₂) in Fort Washington, Maryland?

The current sulfur dioxide (SO₂) concentration at Fort Washington, Maryland is 0.303 ppb.

What is the current concentration of ozone (O₃) in Fort Washington, Maryland?

The current ozone (O₃) concentration at Fort Washington, Maryland is 37.812 ppm.

What is the current concentration of nitrogen dioxide (NO₂) in Fort Washington, Maryland?

The current nitrogen dioxide (NO₂) concentration at Fort Washington, Maryland is 4.218 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T21:00:00.000Z	42 \| good	7.265 \| good	35.444 \| good	45.136 \| good	0.288 \| good	2.533 \| good	0.176 \| good
2025-10-19T22:00:00.000Z	41 \| good	4.805 \| good	14.278 \| good	44.207 \| good	0.296 \| good	2.881 \| good	0.176 \| good
2025-10-19T23:00:00.000Z	33 \| good	5.016 \| good	16.272 \| good	36.269 \| good	0.304 \| good	3.145 \| good	0.176 \| good
2025-10-20T00:00:00.000Z	34 \| good	4.663 \| good	21.945 \| good	37.149 \| good	0.245 \| good	4.334 \| good	0.176 \| good
2025-10-20T01:00:00.000Z	37 \| good	4.485 \| good	19.012 \| good	40.383 \| good	0.224 \| good	4.352 \| good	0.201 \| good
2025-10-20T02:00:00.000Z	37 \| good	4.06 \| good	19.246 \| good	39.764 \| good	0.196 \| good	3.675 \| good	0.201 \| good
2025-10-20T03:00:00.000Z	34 \| good	4.61 \| good	16.376 \| good	37.346 \| good	0.215 \| good	1.905 \| good	0.154 \| good
2025-10-20T04:00:00.000Z	31 \| good	4.031 \| good	12.35 \| good	32.715 \| good	0.194 \| good	1.894 \| good	0.154 \| good
2025-10-20T05:00:00.000Z	27 \| good	2.929 \| good	7.924 \| good	29.413 \| good	0.212 \| good	2.05 \| good	0.154 \| good
2025-10-20T06:00:00.000Z	29 \| good	2.536 \| good	8.571 \| good	30.9 \| good	0.122 \| good	2.918 \| good	0.154 \| good
2025-10-20T07:00:00.000Z	31 \| good	2.449 \| good	6.798 \| good	33.447 \| good	0.177 \| good	2.082 \| good	0.154 \| good
2025-10-20T08:00:00.000Z	26 \| good	2.643 \| good	5.953 \| good	28.297 \| good	0.129 \| good	3.4 \| good	0.154 \| good
2025-10-20T09:00:00.000Z	24 \| good	2.242 \| good	8.485 \| good	26.067 \| good	0.185 \| good	4.664 \| good	0.189 \| good
2025-10-20T10:00:00.000Z	23 \| good	2.181 \| good	8.678 \| good	25.24 \| good	0.183 \| good	2.292 \| good	0.154 \| good
2025-10-20T11:00:00.000Z	21 \| good	2.255 \| good	8.254 \| good	23.03 \| good	0.181 \| good	2.914 \| good	0.14 \| good
2025-10-20T12:00:00.000Z	21 \| good	1.53 \| good	6.467 \| good	22.875 \| good	0.192 \| good	3.197 \| good	0.12 \| good
2025-10-20T13:00:00.000Z	19 \| good	1.977 \| good	6.582 \| good	20.811 \| good	0.139 \| good	6.331 \| good	0.166 \| good
2025-10-20T14:00:00.000Z	22 \| good	2.588 \| good	5.462 \| good	23.914 \| good	0.189 \| good	6.685 \| good	0.198 \| good
2025-10-20T15:00:00.000Z	25 \| good	2.156 \| good	7.42 \| good	26.537 \| good	0.25 \| good	3.617 \| good	0.146 \| good
2025-10-20T16:00:00.000Z	26 \| good	2.364 \| good	7.082 \| good	28.458 \| good	0.196 \| good	2.304 \| good	0.12 \| good
2025-10-20T17:00:00.000Z	26 \| good	2.198 \| good	9.29 \| good	28.455 \| good	0.2 \| good	1.91 \| good	0.133 \| good
2025-10-20T18:00:00.000Z	30 \| good	1.724 \| good	7.741 \| good	31.634 \| good	0.192 \| good	1.737 \| good	0.146 \| good
2025-10-20T19:00:00.000Z	30 \| good	1.945 \| good	6.285 \| good	31.925 \| good	0.188 \| good	1.677 \| good	0.146 \| good
2025-10-20T20:00:00.000Z	31 \| good	1.41 \| good	10.628 \| good	34.125 \| good	0.192 \| good	1.739 \| good	0.146 \| good
2025-10-20T21:00:00.000Z	32 \| good	2.063 \| good	8.275 \| good	34.515 \| good	0.168 \| good	1.978 \| good	0.146 \| good
2025-10-20T22:00:00.000Z	31 \| good	1.952 \| good	8.038 \| good	33.615 \| good	0.185 \| good	2.772 \| good	0.146 \| good
2025-10-20T23:00:00.000Z	29 \| good	1.783 \| good	8.325 \| good	31.018 \| good	0.184 \| good	2.565 \| good	0.146 \| good
2025-10-21T00:00:00.000Z	30 \| good	2.44 \| good	9.922 \| good	32.278 \| good	0.207 \| good	3.283 \| good	0.146 \| good
2025-10-21T01:00:00.000Z	24 \| good	3.258 \| good	12.601 \| good	26.024 \| good	0.206 \| good	5.366 \| good	0.188 \| good
2025-10-21T02:00:00.000Z	27 \| good	4.636 \| good	16.517 \| good	21.861 \| good	0.163 \| good	9.078 \| good	0.256 \| good
2025-10-21T03:00:00.000Z	38 \| good	7.253 \| good	31.969 \| good	16.477 \| good	2.083 \| good	19.871 \| good	0.255 \| good
2025-10-21T04:00:00.000Z	54 \| moderate	10.699 \| good	18.129 \| good	14.336 \| good	0.24 \| good	14.856 \| good	0.379 \| good
2025-10-21T05:00:00.000Z	22 \| good	3.9 \| good	10.095 \| good	11.088 \| good	0.195 \| good	18.119 \| good	0.387 \| good
2025-10-21T06:00:00.000Z	22 \| good	4.147 \| good	9.913 \| good	9.874 \| good	0.188 \| good	19.86 \| good	0.397 \| good
2025-10-21T07:00:00.000Z	33 \| good	5.542 \| good	10.064 \| good	8.76 \| good	0.19 \| good	18.79 \| good	0.383 \| good
2025-10-21T08:00:00.000Z	33 \| good	6.127 \| good	10.733 \| good	11.159 \| good	0.222 \| good	18.132 \| good	0.376 \| good
2025-10-21T09:00:00.000Z	52 \| moderate	10.29 \| good	21.767 \| good	10.342 \| good	0.221 \| good	16.532 \| good	0.339 \| good
2025-10-21T10:00:00.000Z	27 \| good	4.656 \| good	19.897 \| good	6.134 \| good	0.271 \| good	18.068 \| good	0.339 \| good
2025-10-21T11:00:00.000Z	58 \| moderate	13.496 \| fine	21.015 \| good	4.066 \| good	0.278 \| good	15.081 \| good	0.374 \| good
2025-10-21T12:00:00.000Z	27 \| good	5.176 \| good	18.893 \| good	6.204 \| good	0.326 \| good	15.707 \| good	0.56 \| good
2025-10-21T13:00:00.000Z	38 \| good	6.784 \| good	20.38 \| good	3.742 \| good	0.393 \| good	16.758 \| good	0.689 \| good
2025-10-21T14:00:00.000Z	38 \| good	6.63 \| good	24.714 \| good	5.771 \| good	0.343 \| good	18.109 \| good	0.737 \| good
2025-10-21T15:00:00.000Z	27 \| good	4.954 \| good	17.668 \| good	13.812 \| good	0.333 \| good	18.007 \| good	0.56 \| good
2025-10-21T16:00:00.000Z	33 \| good	5.69 \| good	16.642 \| good	17.854 \| good	0.357 \| good	10.56 \| good	0.316 \| good
2025-10-21T17:00:00.000Z	22 \| good	3.705 \| good	14.49 \| good	21.335 \| good	0.282 \| good	7.669 \| good	0.174 \| good
2025-10-21T18:00:00.000Z	26 \| good	4.159 \| good	11.458 \| good	28.149 \| good	0.276 \| good	4.734 \| good	0.147 \| good
2025-10-21T19:00:00.000Z	32 \| good	3.642 \| good	13.302 \| good	35.378 \| good	0.252 \| good	4.125 \| good	0.147 \| good
2025-10-21T20:00:00.000Z	35 \| good	3.922 \| good	17.187 \| good	37.812 \| good	0.303 \| good	4.218 \| good	0.174 \| good
2025-10-21T20:00:00.000Z	35 \| good	3.922 \| good	17.187 \| good	37.812 \| good	0.303 \| good	4.218 \| good	0.174 \| good
2025-10-21T21:00:00.000Z	41 \| good	5.468 \| good	23.043 \| good	44.476 \| good	1.617 \| good	2.879 \| good	0.155 \| good
2025-10-21T22:00:00.000Z	39 \| good	4.892 \| good	21.004 \| good	41.621 \| good	1.702 \| good	5.164 \| good	0.169 \| good
2025-10-21T23:00:00.000Z	37 \| good	4.951 \| good	20.994 \| good	39.696 \| good	1.787 \| good	7.449 \| good	0.184 \| good
2025-10-22T00:00:00.000Z	38 \| good	6.755 \| good	29.977 \| good	35.921 \| good	1.872 \| good	9.733 \| good	0.198 \| good
2025-10-22T01:00:00.000Z	38 \| good	7.229 \| good	31.95 \| good	27.568 \| good	1.831 \| good	8.754 \| good	0.19 \| good
2025-10-22T02:00:00.000Z	38 \| good	6.781 \| good	29.947 \| good	24.965 \| good	1.79 \| good	7.775 \| good	0.182 \| good
2025-10-22T03:00:00.000Z	31 \| good	4.681 \| good	20.044 \| good	32.68 \| good	1.749 \| good	6.796 \| good	0.173 \| good
2025-10-22T04:00:00.000Z	29 \| good	4.537 \| good	19.966 \| good	31.447 \| good	1.635 \| good	6.233 \| good	0.171 \| good
2025-10-22T05:00:00.000Z	27 \| good	4.774 \| good	20.969 \| good	26.346 \| good	1.521 \| good	5.669 \| good	0.169 \| good
2025-10-22T06:00:00.000Z	27 \| good	4.822 \| good	21.017 \| good	23.736 \| good	1.407 \| good	5.105 \| good	0.167 \| good
2025-10-22T07:00:00.000Z	22 \| good	4.471 \| good	19.046 \| good	23.897 \| good	1.601 \| good	4.61 \| good	0.16 \| good
2025-10-22T08:00:00.000Z	23 \| good	4.141 \| good	18.032 \| good	24.561 \| good	1.794 \| good	4.114 \| good	0.153 \| good
2025-10-22T09:00:00.000Z	23 \| good	3.77 \| good	16.057 \| good	24.511 \| good	1.988 \| good	3.619 \| good	0.146 \| good
2025-10-22T10:00:00.000Z	19 \| good	3.148 \| good	13.907 \| good	21.424 \| good	2.09 \| good	4.578 \| good	0.152 \| good
2025-10-22T11:00:00.000Z	16 \| good	2.647 \| good	10.955 \| good	16.729 \| good	2.192 \| good	5.538 \| good	0.157 \| good
2025-10-22T12:00:00.000Z	18 \| good	1.539 \| good	6.021 \| good	19.234 \| good	2.294 \| good	6.498 \| good	0.162 \| good
2025-10-22T13:00:00.000Z	23 \| good	1.833 \| good	7.975 \| good	25.417 \| good	2.316 \| good	5.092 \| good	0.153 \| good
2025-10-22T14:00:00.000Z	30 \| good	1.96 \| good	8.017 \| good	32.057 \| good	2.337 \| good	3.687 \| good	0.144 \| good
2025-10-22T15:00:00.000Z	31 \| good	1.659 \| good	6.984 \| good	33.815 \| good	2.359 \| good	2.282 \| good	0.135 \| good
2025-10-22T16:00:00.000Z	32 \| good	2.133 \| good	8.962 \| good	35.007 \| good	2.041 \| good	2.035 \| good	0.133 \| good
2025-10-22T17:00:00.000Z	33 \| good	2.12 \| good	8.955 \| good	36.2 \| good	1.723 \| good	1.789 \| good	0.13 \| good
2025-10-22T18:00:00.000Z	34 \| good	3.328 \| good	14.941 \| good	37.041 \| good	1.406 \| good	1.542 \| good	0.127 \| good
2025-10-22T19:00:00.000Z	34 \| good	2.688 \| good	10.959 \| good	37.345 \| good	1.345 \| good	1.997 \| good	0.129 \| good
2025-10-22T20:00:00.000Z	32 \| good	3.215 \| good	13.951 \| good	34.605 \| good	1.285 \| good	2.452 \| good	0.132 \| good
2025-10-22T21:00:00.000Z	31 \| good	2.325 \| good	9.928 \| good	33.172 \| good	1.224 \| good	2.908 \| good	0.134 \| good
2025-10-22T22:00:00.000Z	26 \| good	2.649 \| good	10.979 \| good	27.823 \| good	1.433 \| good	5.683 \| good	0.153 \| good
2025-10-22T23:00:00.000Z	24 \| good	2.949 \| good	11.994 \| good	26.058 \| good	1.642 \| good	8.458 \| good	0.172 \| good
2025-10-23T00:00:00.000Z	33 \| good	5.735 \| good	24.984 \| good	20.162 \| good	1.851 \| good	11.234 \| good	0.191 \| good
2025-10-23T01:00:00.000Z	33 \| good	6.045 \| good	26.932 \| good	15.18 \| good	1.973 \| good	10.569 \| good	0.185 \| good
2025-10-23T02:00:00.000Z	33 \| good	5.953 \| good	26.947 \| good	16.782 \| good	2.095 \| good	9.905 \| good	0.179 \| good
2025-10-23T03:00:00.000Z	33 \| good	5.764 \| good	25.017 \| good	17.926 \| good	2.218 \| good	9.24 \| good	0.173 \| good
2025-10-23T04:00:00.000Z	33 \| good	5.729 \| good	24.99 \| good	18.03 \| good	2.144 \| good	8.258 \| good	0.167 \| good
2025-10-23T05:00:00.000Z	33 \| good	6.267 \| good	27.984 \| good	16.614 \| good	2.07 \| good	7.275 \| good	0.161 \| good
2025-10-23T06:00:00.000Z	33 \| good	6.08 \| good	26.977 \| good	16.463 \| good	1.997 \| good	6.293 \| good	0.156 \| good
2025-10-23T07:00:00.000Z	33 \| good	5.589 \| good	24.039 \| good	15.384 \| good	1.804 \| good	5.46 \| good	0.15 \| good
2025-10-23T08:00:00.000Z	27 \| good	5.24 \| good	22.945 \| good	15.255 \| good	1.611 \| good	4.627 \| good	0.144 \| good
2025-10-23T09:00:00.000Z	27 \| good	4.772 \| good	20.977 \| good	14.162 \| good	1.418 \| good	3.794 \| good	0.138 \| good
2025-10-23T10:00:00.000Z	22 \| good	4.177 \| good	18.009 \| good	11.671 \| good	1.392 \| good	4.403 \| good	0.143 \| good
2025-10-23T11:00:00.000Z	22 \| good	3.964 \| good	17.027 \| good	9.215 \| good	1.365 \| good	5.013 \| good	0.147 \| good
2025-10-23T12:00:00.000Z	16 \| good	2.886 \| good	12.004 \| good	12.976 \| good	1.339 \| good	5.622 \| good	0.152 \| good
2025-10-23T13:00:00.000Z	27 \| good	4.74 \| good	20.945 \| good	22.353 \| good	1.601 \| good	4.57 \| good	0.147 \| good
2025-10-23T14:00:00.000Z	29 \| good	4.064 \| good	17.985 \| good	31.061 \| good	1.862 \| good	3.517 \| good	0.142 \| good
2025-10-23T15:00:00.000Z	33 \| good	2.544 \| good	10.048 \| good	35.61 \| good	2.124 \| good	2.465 \| good	0.137 \| good
2025-10-23T16:00:00.000Z	34 \| good	2.93 \| good	11.997 \| good	37.091 \| good	1.927 \| good	2.148 \| good	0.133 \| good
2025-10-23T17:00:00.000Z	35 \| good	1.9 \| good	8 \| good	37.949 \| good	1.729 \| good	1.831 \| good	0.129 \| good
2025-10-23T18:00:00.000Z	36 \| good	2.02 \| good	8.024 \| good	39.478 \| good	1.532 \| good	1.514 \| good	0.125 \| good
2025-10-23T19:00:00.000Z	38 \| good	2.128 \| good	8.96 \| good	40.735 \| good	1.411 \| good	1.707 \| good	0.125 \| good
2025-10-23T20:00:00.000Z	35 \| good	1.899 \| good	7.984 \| good	38.173 \| good	1.29 \| good	1.9 \| good	0.126 \| good

Fort Washington, Maryland live air quality index now

Major air pollutants in Fort Washington, Maryland

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

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Air quality in nearby cities

Fort Hunt, Virginia

Accokeek, Maryland

Friendly, Maryland

Hybla Valley, Virginia

Mount Vernon, Virginia

Groveton, Virginia

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Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

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