What is the current concentration of PM10 in Woodlawn Cdp, Maryland?

The current PM10 concentration at Woodlawn Cdp, Maryland is 14.573 μg/m3.

What is the current concentration of sulfur dioxide (SO2) in Woodlawn Cdp, Maryland?

The current sulfur dioxide (SO2) concentration at Woodlawn Cdp, Maryland is 0.518 ppb.

What is the current concentration of ozone (O3) in Woodlawn Cdp, Maryland?

The current ozone (O3) concentration at Woodlawn Cdp, Maryland is 31.722 ppm.

What is the current concentration of nitrogen dioxide (NO2) in Woodlawn Cdp, Maryland?

The current nitrogen dioxide (NO2) concentration at Woodlawn Cdp, Maryland is 6.505 ppb.

Woodlawn CDP, Maryland live air quality index now

Q: What is the current concentration of PM2.5 in Woodlawn Cdp, Maryland?

The current PM2.5 concentration at Woodlawn Cdp, Maryland is 3.347 μg/m3.

Stay updated with real-time air quality in Woodlawn CDP, 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

Woodlawn CDP, Maryland

Last updated: ... (Local time)

Major air pollutants in Woodlawn CDP, Maryland

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

1.15 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

4.90 μg/m³

155

255

425

605+

Ozone (O₃)

21.79 ppb

201

201+

Sulfur Dioxide (SO₂)

0.65 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

6.67 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.17 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Woodlawn CDP, Maryland

Get Live Pollen Counts

Woodlawn CDP, Maryland

Scroll To Air Quality Map

Track live Woodlawn CDP, Maryland air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-10-04T04:00:00.000Z	33 \| good	5.98 \| good	24.57 \| good	12.464 \| good	0.301 \| good	8.661 \| good	0.28 \| good
2026-10-04T05:00:00.000Z	33 \| good	6.144 \| good	26.06 \| good	10.473 \| good	0.353 \| good	9.647 \| good	0.394 \| good
2026-10-04T06:00:00.000Z	33 \| good	6.055 \| good	27.586 \| good	11.619 \| good	0.271 \| good	8.48 \| good	0.249 \| good
2026-10-04T07:00:00.000Z	33 \| good	6.078 \| good	25.46 \| good	12.886 \| good	0.317 \| good	6.48 \| good	0.249 \| good
2026-10-04T08:00:00.000Z	27 \| good	4.714 \| good	21.193 \| good	14.981 \| good	0.322 \| good	4.472 \| good	0.188 \| good
2026-10-04T09:00:00.000Z	17 \| good	1.842 \| good	7.926 \| good	18.083 \| good	0.291 \| good	3.747 \| good	0.187 \| good
2026-10-04T10:00:00.000Z	18 \| good	1.661 \| good	6.81 \| good	18.61 \| good	0.312 \| good	3.583 \| good	0.177 \| good
2026-10-04T11:00:00.000Z	19 \| good	1.643 \| good	6.895 \| good	20.267 \| good	0.333 \| good	3.456 \| good	0.173 \| good
2026-10-04T12:00:00.000Z	20 \| good	1.638 \| good	6.825 \| good	22.146 \| good	0.269 \| good	3.396 \| good	0.177 \| good
2026-10-04T13:00:00.000Z	17 \| good	1.091 \| good	4.124 \| good	18.025 \| good	0.516 \| good	5.294 \| good	0.151 \| good
2026-10-04T14:00:00.000Z	21 \| good	1.046 \| good	4.021 \| good	23.479 \| good	0.313 \| good	5.895 \| good	0.178 \| good
2026-10-04T15:00:00.000Z	22 \| good	1.722 \| good	7.238 \| good	24.023 \| good	0.322 \| good	5.315 \| good	0.249 \| good
2026-10-04T16:00:00.000Z	21 \| good	2.214 \| good	10.174 \| good	22.929 \| good	0.343 \| good	4.249 \| good	0.191 \| good
2026-10-04T17:00:00.000Z	21 \| good	2.935 \| good	12.169 \| good	22.969 \| good	0.392 \| good	3.848 \| good	0.192 \| good
2026-10-04T18:00:00.000Z	20 \| good	2.702 \| good	10.538 \| good	21.634 \| good	0.38 \| good	3.955 \| good	0.249 \| good
2026-10-04T19:00:00.000Z	19 \| good	2.011 \| good	7.899 \| good	20.611 \| good	0.371 \| good	4.768 \| good	0.249 \| good
2026-10-04T20:00:00.000Z	18 \| good	1.73 \| good	7.809 \| good	19.303 \| good	0.408 \| good	4.286 \| good	0.192 \| good
2026-10-04T21:00:00.000Z	17 \| good	2.19 \| good	9.285 \| good	17.918 \| good	0.402 \| good	3.584 \| good	0.192 \| good
2026-10-04T22:00:00.000Z	16 \| good	1.727 \| good	7.24 \| good	16.81 \| good	0.413 \| good	3.578 \| good	0.192 \| good
2026-10-04T23:00:00.000Z	16 \| good	3.008 \| good	14.021 \| good	16.118 \| good	0.463 \| good	4.384 \| good	0.192 \| good
2026-10-05T00:00:00.000Z	17 \| good	1.892 \| good	8.656 \| good	18.11 \| good	0.417 \| good	4.932 \| good	0.196 \| good
2026-10-05T01:00:00.000Z	17 \| good	2.387 \| good	10.111 \| good	17.557 \| good	0.413 \| good	5.297 \| good	0.196 \| good
2026-10-05T02:00:00.000Z	14 \| good	2.019 \| good	8.581 \| good	14.991 \| good	0.421 \| good	6.788 \| good	0.249 \| good
2026-10-05T03:00:00.000Z	27 \| good	5.078 \| good	21.87 \| good	1.934 \| good	1.038 \| good	17.034 \| good	0.232 \| good
2026-10-05T04:00:00.000Z	15 \| good	1.501 \| good	7.168 \| good	15.741 \| good	0.421 \| good	6.277 \| good	0.192 \| good
2026-10-05T05:00:00.000Z	13 \| good	1.943 \| good	8.518 \| good	13.995 \| good	0.377 \| good	7.417 \| good	0.216 \| good
2026-10-05T06:00:00.000Z	16 \| good	2.96 \| good	12.718 \| good	12.521 \| good	0.381 \| good	7.113 \| good	0.192 \| good
2026-10-05T07:00:00.000Z	16 \| good	3.028 \| good	12.898 \| good	11.833 \| good	0.373 \| good	9.323 \| good	0.435 \| good
2026-10-05T08:00:00.000Z	22 \| good	3.567 \| good	15.859 \| good	6.623 \| good	0.363 \| good	8.603 \| good	0.321 \| good
2026-10-05T09:00:00.000Z	16 \| good	2.977 \| good	12.867 \| good	8.149 \| good	0.412 \| good	8.357 \| good	0.249 \| good
2026-10-05T10:00:00.000Z	11 \| good	2.345 \| good	10.753 \| good	8.542 \| good	0.43 \| good	5.29 \| good	0.191 \| good
2026-10-05T11:00:00.000Z	11 \| good	2.068 \| good	9.174 \| good	9.157 \| good	0.42 \| good	4.832 \| good	0.191 \| good
2026-10-05T12:00:00.000Z	11 \| good	2.336 \| good	8.972 \| good	9.403 \| good	0.371 \| good	5.243 \| good	0.192 \| good
2026-10-05T13:00:00.000Z	16 \| good	2.577 \| good	10.633 \| good	10.144 \| good	0.391 \| good	7.766 \| good	0.192 \| good
2026-10-05T14:00:00.000Z	12 \| good	1.776 \| good	7.178 \| good	13.318 \| good	0.409 \| good	6.642 \| good	0.192 \| good
2026-10-05T15:00:00.000Z	16 \| good	2.75 \| good	12.376 \| good	13.638 \| good	0.26 \| good	7.181 \| good	0.249 \| good
2026-10-05T16:00:00.000Z	22 \| good	3.7 \| good	17.976 \| good	19.864 \| good	0.29 \| good	6.47 \| good	0.249 \| good
2026-10-05T17:00:00.000Z	23 \| good	3.056 \| good	12.738 \| good	25.034 \| good	0.343 \| good	5.335 \| good	0.174 \| good
2026-10-05T18:00:00.000Z	28 \| good	3.864 \| good	16.732 \| good	30.071 \| good	0.299 \| good	3.088 \| good	0.173 \| good
2026-10-05T19:00:00.000Z	31 \| good	4.946 \| good	21.49 \| good	33.957 \| good	0.376 \| good	2.857 \| good	0.173 \| good
2026-10-05T20:00:00.000Z	34 \| good	4.087 \| good	17.875 \| good	36.995 \| good	0.19 \| good	2.351 \| good	0.173 \| good
2026-10-05T21:00:00.000Z	35 \| good	3.96 \| good	16.513 \| good	38.453 \| good	0.248 \| good	2.148 \| good	0.173 \| good
2026-10-05T22:00:00.000Z	36 \| good	4.272 \| good	18.773 \| good	38.775 \| good	0.274 \| good	2.465 \| good	0.173 \| good
2026-10-05T23:00:00.000Z	35 \| good	3.512 \| good	15.245 \| good	37.698 \| good	0.324 \| good	2.896 \| good	0.173 \| good
2026-10-06T00:00:00.000Z	32 \| good	2.845 \| good	11.937 \| good	35.121 \| good	0.389 \| good	3.951 \| good	0.196 \| good
2026-10-06T01:00:00.000Z	30 \| good	1.787 \| good	7.948 \| good	31.506 \| good	0.408 \| good	6.172 \| good	0.2 \| good
2026-10-06T02:00:00.000Z	30 \| good	3.347 \| good	14.573 \| good	31.722 \| good	0.518 \| good	6.505 \| good	0.177 \| good
2026-10-06T03:00:00.000Z	20 \| good	1.151 \| good	4.902 \| good	21.791 \| good	0.649 \| good	6.668 \| good	0.167 \| good
2026-10-06T03:00:00.000Z	20 \| good	1.151 \| good	4.902 \| good	21.791 \| good	0.649 \| good	6.668 \| good	0.167 \| good
2026-10-06T04:00:00.000Z	18 \| good	0.368 \| good	1.163 \| good	18.535 \| good	0.623 \| good	5.568 \| good	0.16 \| good
2026-10-06T05:00:00.000Z	17 \| good	0.461 \| good	1.915 \| good	17.797 \| good	0.579 \| good	4.624 \| good	0.153 \| good
2026-10-06T06:00:00.000Z	18 \| good	0.357 \| good	1.123 \| good	19.266 \| good	0.55 \| good	4.088 \| good	0.147 \| good
2026-10-06T07:00:00.000Z	16 \| good	0.322 \| good	1.085 \| good	16.638 \| good	0.527 \| good	3.864 \| good	0.144 \| good
2026-10-06T08:00:00.000Z	16 \| good	0.517 \| good	1.98 \| good	16.882 \| good	0.514 \| good	3.831 \| good	0.142 \| good
2026-10-06T09:00:00.000Z	11 \| good	2.062 \| good	8.049 \| good	7.025 \| good	0.51 \| good	3.897 \| good	0.141 \| good
2026-10-06T10:00:00.000Z	16 \| good	2.655 \| good	10.943 \| good	4.471 \| good	0.515 \| good	4.139 \| good	0.142 \| good
2026-10-06T11:00:00.000Z	16 \| good	3.322 \| good	14.693 \| good	3.755 \| good	0.534 \| good	4.881 \| good	0.147 \| good
2026-10-06T12:00:00.000Z	16 \| good	3.451 \| good	15.078 \| good	12.031 \| good	0.573 \| good	6.399 \| good	0.168 \| good
2026-10-06T13:00:00.000Z	22 \| good	3.514 \| good	15.173 \| good	17.14 \| good	0.644 \| good	5.264 \| good	0.176 \| good
2026-10-06T14:00:00.000Z	21 \| good	2.569 \| good	10.319 \| good	22.933 \| good	0.751 \| good	3.206 \| good	0.158 \| good
2026-10-06T15:00:00.000Z	24 \| good	2.176 \| good	9.049 \| good	25.852 \| good	0.794 \| good	2.405 \| good	0.152 \| good
2026-10-06T16:00:00.000Z	27 \| good	2.358 \| good	9.972 \| good	29.103 \| good	0.82 \| good	2.051 \| good	0.15 \| good
2026-10-06T17:00:00.000Z	31 \| good	1.938 \| good	8.012 \| good	33.352 \| good	0.837 \| good	1.808 \| good	0.149 \| good
2026-10-06T18:00:00.000Z	33 \| good	3.726 \| good	16.126 \| good	36.21 \| good	0.845 \| good	1.679 \| good	0.149 \| good
2026-10-06T19:00:00.000Z	36 \| good	4.394 \| good	19.09 \| good	39.153 \| good	0.852 \| good	1.669 \| good	0.15 \| good
2026-10-06T20:00:00.000Z	37 \| good	3.812 \| good	16.309 \| good	39.826 \| good	0.861 \| good	1.777 \| good	0.151 \| good
2026-10-06T21:00:00.000Z	36 \| good	4.565 \| good	19.635 \| good	39.028 \| good	0.873 \| good	2.156 \| good	0.154 \| good
2026-10-06T22:00:00.000Z	38 \| good	6.667 \| good	29.866 \| good	27.185 \| good	0.85 \| good	4.805 \| good	0.179 \| good
2026-10-06T23:00:00.000Z	49 \| good	8.766 \| good	38.734 \| good	15.591 \| good	0.952 \| good	19.53 \| good	0.317 \| good
2026-10-07T00:00:00.000Z	49 \| good	9.126 \| good	40.512 \| good	12.686 \| good	1.071 \| good	26.545 \| good	0.411 \| good
2026-10-07T01:00:00.000Z	52 \| moderate	9.598 \| good	42.513 \| good	13.318 \| good	1.15 \| good	28.079 \| good	0.454 \| good
2026-10-07T02:00:00.000Z	54 \| moderate	10.939 \| good	48.241 \| good	13.186 \| good	1.211 \| good	28.895 \| good	0.464 \| good
2026-10-07T03:00:00.000Z	52 \| moderate	9.787 \| good	43.177 \| good	14.388 \| good	1.272 \| good	29.697 \| good	0.472 \| good
2026-10-07T04:00:00.000Z	49 \| good	8.667 \| good	38.208 \| good	17.648 \| good	1.286 \| good	29.883 \| good	0.482 \| good
2026-10-07T05:00:00.000Z	44 \| good	7.619 \| good	33.486 \| good	14.299 \| good	1.221 \| good	29.223 \| good	0.474 \| good
2026-10-07T06:00:00.000Z	33 \| good	5.849 \| good	26.351 \| good	13.236 \| good	1.135 \| good	28.286 \| good	0.439 \| good
2026-10-07T07:00:00.000Z	25 \| good	4.36 \| good	18.771 \| good	13.912 \| good	1.061 \| good	26.956 \| good	0.391 \| good
2026-10-07T08:00:00.000Z	23 \| good	3.413 \| good	14.811 \| good	12.564 \| good	0.993 \| good	24.092 \| good	0.342 \| good
2026-10-07T09:00:00.000Z	18 \| good	3.496 \| good	15.316 \| good	14.69 \| good	0.928 \| good	19.266 \| good	0.298 \| good
2026-10-07T10:00:00.000Z	16 \| good	3.271 \| good	14.303 \| good	17.156 \| good	0.871 \| good	14.956 \| good	0.262 \| good
2026-10-07T11:00:00.000Z	27 \| good	4.712 \| good	20.504 \| good	15.944 \| good	0.832 \| good	12.126 \| good	0.238 \| good
2026-10-07T12:00:00.000Z	22 \| good	4.152 \| good	17.957 \| good	20.326 \| good	0.825 \| good	10.86 \| good	0.239 \| good
2026-10-07T13:00:00.000Z	27 \| good	4.633 \| good	20.096 \| good	26.138 \| good	0.846 \| good	9.55 \| good	0.258 \| good
2026-10-07T14:00:00.000Z	27 \| good	5.362 \| good	23.155 \| good	28.543 \| good	0.968 \| good	6.297 \| good	0.218 \| good
2026-10-07T15:00:00.000Z	33 \| good	6.005 \| good	26.671 \| good	32.34 \| good	0.959 \| good	3.461 \| good	0.181 \| good
2026-10-07T16:00:00.000Z	36 \| good	5.856 \| good	25.169 \| good	38.936 \| good	0.867 \| good	2.245 \| good	0.169 \| good
2026-10-07T17:00:00.000Z	42 \| good	6.18 \| good	27.164 \| good	44.951 \| good	0.822 \| good	1.63 \| good	0.165 \| good
2026-10-07T18:00:00.000Z	44 \| good	6.673 \| good	29.953 \| good	47.047 \| good	0.794 \| good	1.343 \| good	0.164 \| good
2026-10-07T19:00:00.000Z	44 \| good	5.497 \| good	23.862 \| good	48.317 \| good	0.776 \| good	1.281 \| good	0.165 \| good
2026-10-07T20:00:00.000Z	40 \| good	4.412 \| good	19.124 \| good	43.19 \| good	0.77 \| good	1.378 \| good	0.167 \| good
2026-10-07T21:00:00.000Z	35 \| good	4.812 \| good	20.875 \| good	37.778 \| good	0.765 \| good	1.738 \| good	0.17 \| good
2026-10-07T22:00:00.000Z	33 \| good	5.68 \| good	24.764 \| good	30.284 \| good	0.755 \| good	3.858 \| good	0.189 \| good
2026-10-07T23:00:00.000Z	33 \| good	6.174 \| good	27.545 \| good	27.019 \| good	0.776 \| good	7.982 \| good	0.226 \| good
2026-10-08T00:00:00.000Z	33 \| good	5.811 \| good	25.128 \| good	23.916 \| good	0.798 \| good	9.37 \| good	0.233 \| good
2026-10-08T01:00:00.000Z	33 \| good	5.58 \| good	23.999 \| good	25.057 \| good	0.81 \| good	9.229 \| good	0.225 \| good
2026-10-08T02:00:00.000Z	27 \| good	5.151 \| good	22.022 \| good	27.525 \| good	0.809 \| good	8.374 \| good	0.213 \| good
2026-10-08T03:00:00.000Z	25 \| good	3.905 \| good	17.066 \| good	27.297 \| good	0.81 \| good	7.915 \| good	0.205 \| good

Woodlawn CDP

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Woodlawn CDP, Maryland air quality map: Track AQI near you

0.16ppm

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 Woodlawn Cdp, Maryland updated?

The air quality for Woodlawn Cdp, Maryland is updated every hour.

When was the worst air quality at Woodlawn Cdp, Maryland in the last 24 hrs?

The worst air quality in Woodlawn Cdp, Maryland in the last 24 hours was observed at 10:00:00 on 2026-10-05.

When was the best air quality at Woodlawn Cdp, Maryland in the last 24 hrs?

In the last 24 hrs, the best air quality in Woodlawn Cdp, Maryland was observed at 12:00:00 on 2026-10-05.

What is the current air quality in Woodlawn Cdp, Maryland?

The current air quality in Woodlawn Cdp, Maryland is 30, categorized as Good based on real-time data.

What pollutant is the most common in Woodlawn Cdp, Maryland?

The most common pollutant in Woodlawn Cdp, Maryland is O3.

What should I do if the air quality in Woodlawn Cdp, Maryland is poor?

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

What is the current concentration of PM_2.5 in Woodlawn Cdp, Maryland?

The current PM_2.5 concentration at Woodlawn Cdp, Maryland is 3.347 μg/m³.

What is the current concentration of PM₁₀ in Woodlawn Cdp, Maryland?

The current PM₁₀ concentration at Woodlawn Cdp, Maryland is 14.573 μg/m³.

What is the current concentration of carbon monoxide (CO) in Woodlawn Cdp, Maryland?

The current carbon monoxide (CO) concentration at Woodlawn Cdp, Maryland is 0.177 ppm.

What is the current concentration of sulfur dioxide (SO₂) in Woodlawn Cdp, Maryland?

The current sulfur dioxide (SO₂) concentration at Woodlawn Cdp, Maryland is 0.518 ppb.

What is the current concentration of ozone (O₃) in Woodlawn Cdp, Maryland?

The current ozone (O₃) concentration at Woodlawn Cdp, Maryland is 31.722 ppm.

What is the current concentration of nitrogen dioxide (NO₂) in Woodlawn Cdp, Maryland?

The current nitrogen dioxide (NO₂) concentration at Woodlawn Cdp, Maryland is 6.505 ppb.

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Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2026-10-04T04:00:00.000Z	33 \| good	5.98 \| good	24.57 \| good	12.464 \| good	0.301 \| good	8.661 \| good	0.28 \| good
2026-10-04T05:00:00.000Z	33 \| good	6.144 \| good	26.06 \| good	10.473 \| good	0.353 \| good	9.647 \| good	0.394 \| good
2026-10-04T06:00:00.000Z	33 \| good	6.055 \| good	27.586 \| good	11.619 \| good	0.271 \| good	8.48 \| good	0.249 \| good
2026-10-04T07:00:00.000Z	33 \| good	6.078 \| good	25.46 \| good	12.886 \| good	0.317 \| good	6.48 \| good	0.249 \| good
2026-10-04T08:00:00.000Z	27 \| good	4.714 \| good	21.193 \| good	14.981 \| good	0.322 \| good	4.472 \| good	0.188 \| good
2026-10-04T09:00:00.000Z	17 \| good	1.842 \| good	7.926 \| good	18.083 \| good	0.291 \| good	3.747 \| good	0.187 \| good
2026-10-04T10:00:00.000Z	18 \| good	1.661 \| good	6.81 \| good	18.61 \| good	0.312 \| good	3.583 \| good	0.177 \| good
2026-10-04T11:00:00.000Z	19 \| good	1.643 \| good	6.895 \| good	20.267 \| good	0.333 \| good	3.456 \| good	0.173 \| good
2026-10-04T12:00:00.000Z	20 \| good	1.638 \| good	6.825 \| good	22.146 \| good	0.269 \| good	3.396 \| good	0.177 \| good
2026-10-04T13:00:00.000Z	17 \| good	1.091 \| good	4.124 \| good	18.025 \| good	0.516 \| good	5.294 \| good	0.151 \| good
2026-10-04T14:00:00.000Z	21 \| good	1.046 \| good	4.021 \| good	23.479 \| good	0.313 \| good	5.895 \| good	0.178 \| good
2026-10-04T15:00:00.000Z	22 \| good	1.722 \| good	7.238 \| good	24.023 \| good	0.322 \| good	5.315 \| good	0.249 \| good
2026-10-04T16:00:00.000Z	21 \| good	2.214 \| good	10.174 \| good	22.929 \| good	0.343 \| good	4.249 \| good	0.191 \| good
2026-10-04T17:00:00.000Z	21 \| good	2.935 \| good	12.169 \| good	22.969 \| good	0.392 \| good	3.848 \| good	0.192 \| good
2026-10-04T18:00:00.000Z	20 \| good	2.702 \| good	10.538 \| good	21.634 \| good	0.38 \| good	3.955 \| good	0.249 \| good
2026-10-04T19:00:00.000Z	19 \| good	2.011 \| good	7.899 \| good	20.611 \| good	0.371 \| good	4.768 \| good	0.249 \| good
2026-10-04T20:00:00.000Z	18 \| good	1.73 \| good	7.809 \| good	19.303 \| good	0.408 \| good	4.286 \| good	0.192 \| good
2026-10-04T21:00:00.000Z	17 \| good	2.19 \| good	9.285 \| good	17.918 \| good	0.402 \| good	3.584 \| good	0.192 \| good
2026-10-04T22:00:00.000Z	16 \| good	1.727 \| good	7.24 \| good	16.81 \| good	0.413 \| good	3.578 \| good	0.192 \| good
2026-10-04T23:00:00.000Z	16 \| good	3.008 \| good	14.021 \| good	16.118 \| good	0.463 \| good	4.384 \| good	0.192 \| good
2026-10-05T00:00:00.000Z	17 \| good	1.892 \| good	8.656 \| good	18.11 \| good	0.417 \| good	4.932 \| good	0.196 \| good
2026-10-05T01:00:00.000Z	17 \| good	2.387 \| good	10.111 \| good	17.557 \| good	0.413 \| good	5.297 \| good	0.196 \| good
2026-10-05T02:00:00.000Z	14 \| good	2.019 \| good	8.581 \| good	14.991 \| good	0.421 \| good	6.788 \| good	0.249 \| good
2026-10-05T03:00:00.000Z	27 \| good	5.078 \| good	21.87 \| good	1.934 \| good	1.038 \| good	17.034 \| good	0.232 \| good
2026-10-05T04:00:00.000Z	15 \| good	1.501 \| good	7.168 \| good	15.741 \| good	0.421 \| good	6.277 \| good	0.192 \| good
2026-10-05T05:00:00.000Z	13 \| good	1.943 \| good	8.518 \| good	13.995 \| good	0.377 \| good	7.417 \| good	0.216 \| good
2026-10-05T06:00:00.000Z	16 \| good	2.96 \| good	12.718 \| good	12.521 \| good	0.381 \| good	7.113 \| good	0.192 \| good
2026-10-05T07:00:00.000Z	16 \| good	3.028 \| good	12.898 \| good	11.833 \| good	0.373 \| good	9.323 \| good	0.435 \| good
2026-10-05T08:00:00.000Z	22 \| good	3.567 \| good	15.859 \| good	6.623 \| good	0.363 \| good	8.603 \| good	0.321 \| good
2026-10-05T09:00:00.000Z	16 \| good	2.977 \| good	12.867 \| good	8.149 \| good	0.412 \| good	8.357 \| good	0.249 \| good
2026-10-05T10:00:00.000Z	11 \| good	2.345 \| good	10.753 \| good	8.542 \| good	0.43 \| good	5.29 \| good	0.191 \| good
2026-10-05T11:00:00.000Z	11 \| good	2.068 \| good	9.174 \| good	9.157 \| good	0.42 \| good	4.832 \| good	0.191 \| good
2026-10-05T12:00:00.000Z	11 \| good	2.336 \| good	8.972 \| good	9.403 \| good	0.371 \| good	5.243 \| good	0.192 \| good
2026-10-05T13:00:00.000Z	16 \| good	2.577 \| good	10.633 \| good	10.144 \| good	0.391 \| good	7.766 \| good	0.192 \| good
2026-10-05T14:00:00.000Z	12 \| good	1.776 \| good	7.178 \| good	13.318 \| good	0.409 \| good	6.642 \| good	0.192 \| good
2026-10-05T15:00:00.000Z	16 \| good	2.75 \| good	12.376 \| good	13.638 \| good	0.26 \| good	7.181 \| good	0.249 \| good
2026-10-05T16:00:00.000Z	22 \| good	3.7 \| good	17.976 \| good	19.864 \| good	0.29 \| good	6.47 \| good	0.249 \| good
2026-10-05T17:00:00.000Z	23 \| good	3.056 \| good	12.738 \| good	25.034 \| good	0.343 \| good	5.335 \| good	0.174 \| good
2026-10-05T18:00:00.000Z	28 \| good	3.864 \| good	16.732 \| good	30.071 \| good	0.299 \| good	3.088 \| good	0.173 \| good
2026-10-05T19:00:00.000Z	31 \| good	4.946 \| good	21.49 \| good	33.957 \| good	0.376 \| good	2.857 \| good	0.173 \| good
2026-10-05T20:00:00.000Z	34 \| good	4.087 \| good	17.875 \| good	36.995 \| good	0.19 \| good	2.351 \| good	0.173 \| good
2026-10-05T21:00:00.000Z	35 \| good	3.96 \| good	16.513 \| good	38.453 \| good	0.248 \| good	2.148 \| good	0.173 \| good
2026-10-05T22:00:00.000Z	36 \| good	4.272 \| good	18.773 \| good	38.775 \| good	0.274 \| good	2.465 \| good	0.173 \| good
2026-10-05T23:00:00.000Z	35 \| good	3.512 \| good	15.245 \| good	37.698 \| good	0.324 \| good	2.896 \| good	0.173 \| good
2026-10-06T00:00:00.000Z	32 \| good	2.845 \| good	11.937 \| good	35.121 \| good	0.389 \| good	3.951 \| good	0.196 \| good
2026-10-06T01:00:00.000Z	30 \| good	1.787 \| good	7.948 \| good	31.506 \| good	0.408 \| good	6.172 \| good	0.2 \| good
2026-10-06T02:00:00.000Z	30 \| good	3.347 \| good	14.573 \| good	31.722 \| good	0.518 \| good	6.505 \| good	0.177 \| good
2026-10-06T03:00:00.000Z	20 \| good	1.151 \| good	4.902 \| good	21.791 \| good	0.649 \| good	6.668 \| good	0.167 \| good
2026-10-06T03:00:00.000Z	20 \| good	1.151 \| good	4.902 \| good	21.791 \| good	0.649 \| good	6.668 \| good	0.167 \| good
2026-10-06T04:00:00.000Z	18 \| good	0.368 \| good	1.163 \| good	18.535 \| good	0.623 \| good	5.568 \| good	0.16 \| good
2026-10-06T05:00:00.000Z	17 \| good	0.461 \| good	1.915 \| good	17.797 \| good	0.579 \| good	4.624 \| good	0.153 \| good
2026-10-06T06:00:00.000Z	18 \| good	0.357 \| good	1.123 \| good	19.266 \| good	0.55 \| good	4.088 \| good	0.147 \| good
2026-10-06T07:00:00.000Z	16 \| good	0.322 \| good	1.085 \| good	16.638 \| good	0.527 \| good	3.864 \| good	0.144 \| good
2026-10-06T08:00:00.000Z	16 \| good	0.517 \| good	1.98 \| good	16.882 \| good	0.514 \| good	3.831 \| good	0.142 \| good
2026-10-06T09:00:00.000Z	11 \| good	2.062 \| good	8.049 \| good	7.025 \| good	0.51 \| good	3.897 \| good	0.141 \| good
2026-10-06T10:00:00.000Z	16 \| good	2.655 \| good	10.943 \| good	4.471 \| good	0.515 \| good	4.139 \| good	0.142 \| good
2026-10-06T11:00:00.000Z	16 \| good	3.322 \| good	14.693 \| good	3.755 \| good	0.534 \| good	4.881 \| good	0.147 \| good
2026-10-06T12:00:00.000Z	16 \| good	3.451 \| good	15.078 \| good	12.031 \| good	0.573 \| good	6.399 \| good	0.168 \| good
2026-10-06T13:00:00.000Z	22 \| good	3.514 \| good	15.173 \| good	17.14 \| good	0.644 \| good	5.264 \| good	0.176 \| good
2026-10-06T14:00:00.000Z	21 \| good	2.569 \| good	10.319 \| good	22.933 \| good	0.751 \| good	3.206 \| good	0.158 \| good
2026-10-06T15:00:00.000Z	24 \| good	2.176 \| good	9.049 \| good	25.852 \| good	0.794 \| good	2.405 \| good	0.152 \| good
2026-10-06T16:00:00.000Z	27 \| good	2.358 \| good	9.972 \| good	29.103 \| good	0.82 \| good	2.051 \| good	0.15 \| good
2026-10-06T17:00:00.000Z	31 \| good	1.938 \| good	8.012 \| good	33.352 \| good	0.837 \| good	1.808 \| good	0.149 \| good
2026-10-06T18:00:00.000Z	33 \| good	3.726 \| good	16.126 \| good	36.21 \| good	0.845 \| good	1.679 \| good	0.149 \| good
2026-10-06T19:00:00.000Z	36 \| good	4.394 \| good	19.09 \| good	39.153 \| good	0.852 \| good	1.669 \| good	0.15 \| good
2026-10-06T20:00:00.000Z	37 \| good	3.812 \| good	16.309 \| good	39.826 \| good	0.861 \| good	1.777 \| good	0.151 \| good
2026-10-06T21:00:00.000Z	36 \| good	4.565 \| good	19.635 \| good	39.028 \| good	0.873 \| good	2.156 \| good	0.154 \| good
2026-10-06T22:00:00.000Z	38 \| good	6.667 \| good	29.866 \| good	27.185 \| good	0.85 \| good	4.805 \| good	0.179 \| good
2026-10-06T23:00:00.000Z	49 \| good	8.766 \| good	38.734 \| good	15.591 \| good	0.952 \| good	19.53 \| good	0.317 \| good
2026-10-07T00:00:00.000Z	49 \| good	9.126 \| good	40.512 \| good	12.686 \| good	1.071 \| good	26.545 \| good	0.411 \| good
2026-10-07T01:00:00.000Z	52 \| moderate	9.598 \| good	42.513 \| good	13.318 \| good	1.15 \| good	28.079 \| good	0.454 \| good
2026-10-07T02:00:00.000Z	54 \| moderate	10.939 \| good	48.241 \| good	13.186 \| good	1.211 \| good	28.895 \| good	0.464 \| good
2026-10-07T03:00:00.000Z	52 \| moderate	9.787 \| good	43.177 \| good	14.388 \| good	1.272 \| good	29.697 \| good	0.472 \| good
2026-10-07T04:00:00.000Z	49 \| good	8.667 \| good	38.208 \| good	17.648 \| good	1.286 \| good	29.883 \| good	0.482 \| good
2026-10-07T05:00:00.000Z	44 \| good	7.619 \| good	33.486 \| good	14.299 \| good	1.221 \| good	29.223 \| good	0.474 \| good
2026-10-07T06:00:00.000Z	33 \| good	5.849 \| good	26.351 \| good	13.236 \| good	1.135 \| good	28.286 \| good	0.439 \| good
2026-10-07T07:00:00.000Z	25 \| good	4.36 \| good	18.771 \| good	13.912 \| good	1.061 \| good	26.956 \| good	0.391 \| good
2026-10-07T08:00:00.000Z	23 \| good	3.413 \| good	14.811 \| good	12.564 \| good	0.993 \| good	24.092 \| good	0.342 \| good
2026-10-07T09:00:00.000Z	18 \| good	3.496 \| good	15.316 \| good	14.69 \| good	0.928 \| good	19.266 \| good	0.298 \| good
2026-10-07T10:00:00.000Z	16 \| good	3.271 \| good	14.303 \| good	17.156 \| good	0.871 \| good	14.956 \| good	0.262 \| good
2026-10-07T11:00:00.000Z	27 \| good	4.712 \| good	20.504 \| good	15.944 \| good	0.832 \| good	12.126 \| good	0.238 \| good
2026-10-07T12:00:00.000Z	22 \| good	4.152 \| good	17.957 \| good	20.326 \| good	0.825 \| good	10.86 \| good	0.239 \| good
2026-10-07T13:00:00.000Z	27 \| good	4.633 \| good	20.096 \| good	26.138 \| good	0.846 \| good	9.55 \| good	0.258 \| good
2026-10-07T14:00:00.000Z	27 \| good	5.362 \| good	23.155 \| good	28.543 \| good	0.968 \| good	6.297 \| good	0.218 \| good
2026-10-07T15:00:00.000Z	33 \| good	6.005 \| good	26.671 \| good	32.34 \| good	0.959 \| good	3.461 \| good	0.181 \| good
2026-10-07T16:00:00.000Z	36 \| good	5.856 \| good	25.169 \| good	38.936 \| good	0.867 \| good	2.245 \| good	0.169 \| good
2026-10-07T17:00:00.000Z	42 \| good	6.18 \| good	27.164 \| good	44.951 \| good	0.822 \| good	1.63 \| good	0.165 \| good
2026-10-07T18:00:00.000Z	44 \| good	6.673 \| good	29.953 \| good	47.047 \| good	0.794 \| good	1.343 \| good	0.164 \| good
2026-10-07T19:00:00.000Z	44 \| good	5.497 \| good	23.862 \| good	48.317 \| good	0.776 \| good	1.281 \| good	0.165 \| good
2026-10-07T20:00:00.000Z	40 \| good	4.412 \| good	19.124 \| good	43.19 \| good	0.77 \| good	1.378 \| good	0.167 \| good
2026-10-07T21:00:00.000Z	35 \| good	4.812 \| good	20.875 \| good	37.778 \| good	0.765 \| good	1.738 \| good	0.17 \| good
2026-10-07T22:00:00.000Z	33 \| good	5.68 \| good	24.764 \| good	30.284 \| good	0.755 \| good	3.858 \| good	0.189 \| good
2026-10-07T23:00:00.000Z	33 \| good	6.174 \| good	27.545 \| good	27.019 \| good	0.776 \| good	7.982 \| good	0.226 \| good
2026-10-08T00:00:00.000Z	33 \| good	5.811 \| good	25.128 \| good	23.916 \| good	0.798 \| good	9.37 \| good	0.233 \| good
2026-10-08T01:00:00.000Z	33 \| good	5.58 \| good	23.999 \| good	25.057 \| good	0.81 \| good	9.229 \| good	0.225 \| good
2026-10-08T02:00:00.000Z	27 \| good	5.151 \| good	22.022 \| good	27.525 \| good	0.809 \| good	8.374 \| good	0.213 \| good
2026-10-08T03:00:00.000Z	25 \| good	3.905 \| good	17.066 \| good	27.297 \| good	0.81 \| good	7.915 \| good	0.205 \| good

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Major air pollutants in Woodlawn CDP, Maryland

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

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