What is the current concentration of PM10 in Owings Mills, Maryland?

The current PM10 concentration at Owings Mills, Maryland is 34.069 μg/m3.

What is the current concentration of sulfur dioxide (SO2) in Owings Mills, Maryland?

The current sulfur dioxide (SO2) concentration at Owings Mills, Maryland is 0.763 ppb.

What is the current concentration of ozone (O3) in Owings Mills, Maryland?

The current ozone (O3) concentration at Owings Mills, Maryland is 4.127 ppm.

What is the current concentration of nitrogen dioxide (NO2) in Owings Mills, Maryland?

The current nitrogen dioxide (NO2) concentration at Owings Mills, Maryland is 14.611 ppb.

Owings Mills, Maryland live air quality index now

Name: Live air pollution levels in Owings Mills, Maryland today
Creator: Ambee

Stay updated with real-time air quality in Owings Mills, 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

Owings Mills, Maryland

Last updated: ... (Local time)

Major air pollutants in Owings Mills, Maryland

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

7.95 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

34.07 μg/m³

155

255

425

605+

Ozone (O₃)

4.13 ppb

201

201+

Sulfur Dioxide (SO₂)

0.76 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

14.61 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.56 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Owings Mills, Maryland

Get Live Pollen Counts

Owings Mills, Maryland

Scroll To Air Quality Map

Track live Owings Mills, Maryland air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T15:00:00.000Z	54 \| moderate	11.424 \| good	48.846 \| good	25.135 \| good	0.198 \| good	6.58 \| good	0.227 \| good
2025-10-19T16:00:00.000Z	54 \| moderate	11.103 \| good	48.956 \| good	31.378 \| good	0.275 \| good	5.277 \| good	0.207 \| good
2025-10-19T17:00:00.000Z	52 \| moderate	9.978 \| good	45.072 \| good	36.537 \| good	0.274 \| good	5.514 \| good	0.207 \| good
2025-10-19T18:00:00.000Z	54 \| moderate	11.092 \| good	39.899 \| good	39.067 \| good	0.239 \| good	7.237 \| good	0.167 \| good
2025-10-19T19:00:00.000Z	54 \| moderate	10.726 \| good	47.336 \| good	40.81 \| good	0.268 \| good	4 \| good	0.207 \| good
2025-10-19T20:00:00.000Z	52 \| moderate	9.695 \| good	43.962 \| good	43.024 \| good	0.254 \| good	2.95 \| good	0.181 \| good
2025-10-19T21:00:00.000Z	52 \| moderate	9.575 \| good	36.244 \| good	43.004 \| good	0.223 \| good	3.608 \| good	0.167 \| good
2025-10-19T22:00:00.000Z	49 \| good	8.704 \| good	29.741 \| good	43.07 \| good	0.225 \| good	5.163 \| good	0.167 \| good
2025-10-19T23:00:00.000Z	49 \| good	8.807 \| good	39.226 \| good	41.697 \| good	0.298 \| good	5.145 \| good	0.167 \| good
2025-10-20T00:00:00.000Z	44 \| good	7.76 \| good	38.899 \| good	42.469 \| good	0.274 \| good	5.472 \| good	0.167 \| good
2025-10-20T01:00:00.000Z	37 \| good	6.239 \| good	26.788 \| good	39.612 \| good	0.232 \| good	6.505 \| good	0.194 \| good
2025-10-20T02:00:00.000Z	33 \| good	5.714 \| good	32.894 \| good	34.094 \| good	0.247 \| good	4.611 \| good	0.18 \| good
2025-10-20T03:00:00.000Z	35 \| good	5.825 \| good	17.577 \| good	37.659 \| good	0.231 \| good	5.252 \| good	0.127 \| good
2025-10-20T04:00:00.000Z	36 \| good	5.642 \| good	21.986 \| good	39.111 \| good	0.201 \| good	6.795 \| good	0.127 \| good
2025-10-20T05:00:00.000Z	35 \| good	4.276 \| good	11.199 \| good	37.983 \| good	0.21 \| good	5.549 \| good	0.127 \| good
2025-10-20T06:00:00.000Z	32 \| good	4.865 \| good	14.345 \| good	34.757 \| good	0.196 \| good	4.628 \| good	0.127 \| good
2025-10-20T07:00:00.000Z	32 \| good	4.657 \| good	24.05 \| good	34.965 \| good	0.213 \| good	4.623 \| good	0.127 \| good
2025-10-20T08:00:00.000Z	30 \| good	4.13 \| good	13.931 \| good	31.846 \| good	0.211 \| good	10.618 \| good	0.127 \| good
2025-10-20T09:00:00.000Z	26 \| good	2.954 \| good	14.489 \| good	27.81 \| good	0.19 \| good	10.657 \| good	0.14 \| good
2025-10-20T10:00:00.000Z	25 \| good	2.254 \| good	9.426 \| good	26.626 \| good	0.191 \| good	7.338 \| good	0.127 \| good
2025-10-20T11:00:00.000Z	26 \| good	1.957 \| good	10.034 \| good	27.615 \| good	0.194 \| good	9.457 \| good	0.127 \| good
2025-10-20T12:00:00.000Z	23 \| good	2.265 \| good	9.772 \| good	25.048 \| good	0.213 \| good	9.789 \| good	0.14 \| good
2025-10-20T13:00:00.000Z	23 \| good	1.963 \| good	6.896 \| good	25.116 \| good	0.223 \| good	9.824 \| good	0.167 \| good
2025-10-20T14:00:00.000Z	22 \| good	2.084 \| good	6.363 \| good	24.399 \| good	0.213 \| good	6.955 \| good	0.14 \| good
2025-10-20T15:00:00.000Z	24 \| good	3.059 \| good	11.202 \| good	26.243 \| good	0.244 \| good	5.809 \| good	0.127 \| good
2025-10-20T16:00:00.000Z	28 \| good	2.866 \| good	7.719 \| good	29.556 \| good	0.265 \| good	7.198 \| good	0.116 \| good
2025-10-20T17:00:00.000Z	28 \| good	3.144 \| good	11.615 \| good	30.275 \| good	0.263 \| good	5.525 \| good	0.139 \| good
2025-10-20T18:00:00.000Z	30 \| good	4.444 \| good	20.9 \| good	32.294 \| good	0.218 \| good	4.858 \| good	0.131 \| good
2025-10-20T19:00:00.000Z	31 \| good	4.688 \| good	18.401 \| good	32.837 \| good	0.163 \| good	6.086 \| good	0.131 \| good
2025-10-20T20:00:00.000Z	31 \| good	4.004 \| good	10.09 \| good	33.115 \| good	0.175 \| good	5.954 \| good	0.131 \| good
2025-10-20T21:00:00.000Z	30 \| good	3.298 \| good	14.149 \| good	31.766 \| good	0.143 \| good	5.044 \| good	0.131 \| good
2025-10-20T22:00:00.000Z	29 \| good	2.63 \| good	11.248 \| good	30.86 \| good	0.172 \| good	9.017 \| good	0.131 \| good
2025-10-20T23:00:00.000Z	29 \| good	3.361 \| good	13.26 \| good	30.546 \| good	0.182 \| good	19.761 \| good	0.127 \| good
2025-10-21T00:00:00.000Z	25 \| good	4.088 \| good	15.196 \| good	27.411 \| good	0.176 \| good	18.937 \| good	0.127 \| good
2025-10-21T01:00:00.000Z	24 \| good	3.352 \| good	15.217 \| good	24.193 \| good	0.166 \| good	25.291 \| good	0.153 \| good
2025-10-21T02:00:00.000Z	22 \| good	2.954 \| good	13.047 \| good	23.553 \| good	0.153 \| good	22.058 \| good	0.334 \| good
2025-10-21T03:00:00.000Z	54 \| moderate	10.731 \| good	47.43 \| good	17.104 \| good	1.692 \| good	13.301 \| good	0.199 \| good
2025-10-21T04:00:00.000Z	38 \| good	7.277 \| good	26.553 \| good	13.338 \| good	0.216 \| good	17.304 \| good	0.279 \| good
2025-10-21T05:00:00.000Z	38 \| good	7.043 \| good	27.028 \| good	6.915 \| good	0.214 \| good	15.629 \| good	0.299 \| good
2025-10-21T06:00:00.000Z	49 \| good	8.594 \| good	43.113 \| good	12.271 \| good	0.203 \| good	13.967 \| good	0.339 \| good
2025-10-21T07:00:00.000Z	44 \| good	8.081 \| good	31.234 \| good	9.875 \| good	0.202 \| good	13.925 \| good	0.313 \| good
2025-10-21T08:00:00.000Z	33 \| good	6.028 \| good	26.799 \| good	6.421 \| good	0.267 \| good	11.111 \| good	0.326 \| good
2025-10-21T09:00:00.000Z	27 \| good	4.99 \| good	21.217 \| good	3.646 \| good	0.268 \| good	11.183 \| good	0.34 \| good
2025-10-21T10:00:00.000Z	38 \| good	6.854 \| good	27.47 \| good	6.887 \| good	0.421 \| good	13.37 \| good	0.393 \| good
2025-10-21T11:00:00.000Z	44 \| good	7.898 \| good	27.722 \| good	2.589 \| good	0.522 \| good	13.894 \| good	0.42 \| good
2025-10-21T12:00:00.000Z	44 \| good	8.034 \| good	38.067 \| good	2.659 \| good	0.757 \| good	14.222 \| good	0.514 \| good
2025-10-21T13:00:00.000Z	44 \| good	7.774 \| good	33.155 \| good	4.067 \| good	0.75 \| good	14.147 \| good	0.554 \| good
2025-10-21T14:00:00.000Z	44 \| good	7.954 \| good	34.069 \| good	4.127 \| good	0.763 \| good	14.611 \| good	0.56 \| good
2025-10-21T15:00:00.000Z	44 \| good	7.654 \| good	33.887 \| good	25.359 \| good	2.984 \| good	7.313 \| good	0.192 \| good
2025-10-21T16:00:00.000Z	44 \| good	8.052 \| good	35.136 \| good	30.582 \| good	2.847 \| good	5.971 \| good	0.181 \| good
2025-10-21T17:00:00.000Z	44 \| good	8.253 \| good	36.376 \| good	35.22 \| good	2.709 \| good	4.629 \| good	0.17 \| good
2025-10-21T18:00:00.000Z	44 \| good	8.017 \| good	34.855 \| good	40.292 \| good	2.571 \| good	3.287 \| good	0.158 \| good
2025-10-21T19:00:00.000Z	40 \| good	7.268 \| good	32.158 \| good	43.037 \| good	2.465 \| good	3.499 \| good	0.16 \| good
2025-10-21T20:00:00.000Z	41 \| good	7.051 \| good	31.235 \| good	43.745 \| good	2.36 \| good	3.71 \| good	0.161 \| good
2025-10-21T21:00:00.000Z	38 \| good	7.36 \| good	32.636 \| good	38.611 \| good	2.255 \| good	3.922 \| good	0.162 \| good
2025-10-21T22:00:00.000Z	54 \| moderate	10.977 \| good	48.574 \| good	32.008 \| good	2.222 \| good	7.159 \| good	0.186 \| good
2025-10-21T23:00:00.000Z	58 \| moderate	12.928 \| fine	58.143 \| fine	23.572 \| good	2.19 \| good	10.397 \| good	0.21 \| good
2025-10-22T00:00:00.000Z	58 \| moderate	13.08 \| fine	58.719 \| fine	20.046 \| good	2.158 \| good	13.634 \| good	0.234 \| good
2025-10-22T01:00:00.000Z	52 \| moderate	9.691 \| good	42.718 \| good	23.53 \| good	1.999 \| good	12.902 \| good	0.227 \| good
2025-10-22T02:00:00.000Z	49 \| good	9.29 \| good	40.775 \| good	22.04 \| good	1.84 \| good	12.169 \| good	0.22 \| good
2025-10-22T03:00:00.000Z	49 \| good	9.183 \| good	40.567 \| good	26.129 \| good	1.681 \| good	11.436 \| good	0.214 \| good
2025-10-22T04:00:00.000Z	49 \| good	8.608 \| good	38.239 \| good	26.508 \| good	1.568 \| good	9.844 \| good	0.202 \| good
2025-10-22T05:00:00.000Z	49 \| good	8.523 \| good	37.367 \| good	23.936 \| good	1.456 \| good	8.251 \| good	0.191 \| good
2025-10-22T06:00:00.000Z	38 \| good	7.496 \| good	32.899 \| good	24.742 \| good	1.343 \| good	6.658 \| good	0.18 \| good
2025-10-22T07:00:00.000Z	38 \| good	6.876 \| good	30.654 \| good	24.244 \| good	1.784 \| good	5.534 \| good	0.167 \| good
2025-10-22T08:00:00.000Z	38 \| good	6.673 \| good	29.698 \| good	23.443 \| good	2.224 \| good	4.41 \| good	0.155 \| good
2025-10-22T09:00:00.000Z	33 \| good	6.17 \| good	27.443 \| good	21.751 \| good	2.665 \| good	3.285 \| good	0.142 \| good
2025-10-22T10:00:00.000Z	33 \| good	6.073 \| good	26.467 \| good	18.182 \| good	2.945 \| good	3.946 \| good	0.145 \| good
2025-10-22T11:00:00.000Z	27 \| good	4.562 \| good	19.95 \| good	18.529 \| good	3.225 \| good	4.607 \| good	0.147 \| good
2025-10-22T12:00:00.000Z	27 \| good	5.296 \| good	23.094 \| good	17.713 \| good	3.504 \| good	5.268 \| good	0.149 \| good
2025-10-22T13:00:00.000Z	33 \| good	6.438 \| good	28.776 \| good	22.434 \| good	3.23 \| good	4.243 \| good	0.144 \| good
2025-10-22T14:00:00.000Z	28 \| good	4.366 \| good	19.273 \| good	29.774 \| good	2.956 \| good	3.218 \| good	0.139 \| good
2025-10-22T15:00:00.000Z	31 \| good	3.766 \| good	16.339 \| good	32.93 \| good	2.682 \| good	2.193 \| good	0.133 \| good
2025-10-22T16:00:00.000Z	31 \| good	4.586 \| good	19.833 \| good	34.472 \| good	2.469 \| good	2.005 \| good	0.131 \| good
2025-10-22T17:00:00.000Z	33 \| good	5.847 \| good	25.685 \| good	34.154 \| good	2.255 \| good	1.818 \| good	0.129 \| good
2025-10-22T18:00:00.000Z	33 \| good	6.16 \| good	27.648 \| good	34.561 \| good	2.041 \| good	1.63 \| good	0.127 \| good
2025-10-22T19:00:00.000Z	33 \| good	5.518 \| good	24.003 \| good	34.029 \| good	1.878 \| good	1.971 \| good	0.129 \| good
2025-10-22T20:00:00.000Z	31 \| good	5.113 \| good	21.884 \| good	33.869 \| good	1.715 \| good	2.312 \| good	0.131 \| good
2025-10-22T21:00:00.000Z	31 \| good	4.421 \| good	19.465 \| good	32.871 \| good	1.552 \| good	2.654 \| good	0.133 \| good
2025-10-22T22:00:00.000Z	27 \| good	4.992 \| good	22.102 \| good	29.293 \| good	1.605 \| good	3.929 \| good	0.141 \| good
2025-10-22T23:00:00.000Z	33 \| good	5.764 \| good	25.087 \| good	27.312 \| good	1.658 \| good	5.205 \| good	0.15 \| good
2025-10-23T00:00:00.000Z	44 \| good	8.487 \| good	37.398 \| good	26.711 \| good	1.712 \| good	6.481 \| good	0.158 \| good
2025-10-23T01:00:00.000Z	52 \| moderate	10.171 \| good	44.864 \| good	23.89 \| good	1.935 \| good	6.144 \| good	0.155 \| good
2025-10-23T02:00:00.000Z	52 \| moderate	9.73 \| good	43.188 \| good	22.468 \| good	2.159 \| good	5.807 \| good	0.151 \| good
2025-10-23T03:00:00.000Z	52 \| moderate	10.125 \| good	44.765 \| good	19.903 \| good	2.383 \| good	5.47 \| good	0.148 \| good
2025-10-23T04:00:00.000Z	49 \| good	9.133 \| good	40.36 \| good	20.507 \| good	2.519 \| good	5.201 \| good	0.146 \| good
2025-10-23T05:00:00.000Z	49 \| good	9.487 \| good	42.006 \| good	20.801 \| good	2.655 \| good	4.933 \| good	0.144 \| good
2025-10-23T06:00:00.000Z	52 \| moderate	9.859 \| good	43.944 \| good	20.998 \| good	2.792 \| good	4.665 \| good	0.141 \| good
2025-10-23T07:00:00.000Z	49 \| good	8.867 \| good	38.963 \| good	20.047 \| good	2.687 \| good	4.445 \| good	0.139 \| good
2025-10-23T08:00:00.000Z	44 \| good	7.93 \| good	34.805 \| good	18.257 \| good	2.583 \| good	4.226 \| good	0.137 \| good
2025-10-23T09:00:00.000Z	44 \| good	7.709 \| good	33.749 \| good	15.155 \| good	2.478 \| good	4.006 \| good	0.135 \| good
2025-10-23T10:00:00.000Z	44 \| good	7.825 \| good	34.615 \| good	7.452 \| good	2.393 \| good	4.743 \| good	0.142 \| good
2025-10-23T11:00:00.000Z	44 \| good	8.261 \| good	36.124 \| good	7.858 \| good	2.307 \| good	5.48 \| good	0.149 \| good
2025-10-23T12:00:00.000Z	44 \| good	8.045 \| good	35.093 \| good	13.854 \| good	2.222 \| good	6.217 \| good	0.156 \| good
2025-10-23T13:00:00.000Z	49 \| good	8.899 \| good	39.221 \| good	23.443 \| good	2.238 \| good	5.011 \| good	0.151 \| good
2025-10-23T14:00:00.000Z	38 \| good	6.676 \| good	29.562 \| good	31.633 \| good	2.254 \| good	3.804 \| good	0.146 \| good

Owings Mills

Get reliable air quality data to drive your business

Owings Mills, Maryland air quality map: Track AQI near you

0.55ppm

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

Air quality levels in US

Check live rankings of places in the USA affected by air pollution.

View Polluted Cities

Check live rankings of places in the USA with the cleanest air.

View Clean Cities

Frequently asked questions

How often is the air quality data for Owings Mills, Maryland updated?

The air quality for Owings Mills, Maryland is updated every hour.

When was the worst air quality at Owings Mills, Maryland in the last 24 hrs?

The worst air quality in Owings Mills, Maryland in the last 24 hours was observed at 03:00:00 on 2025-10-21.

When was the best air quality at Owings Mills, Maryland in the last 24 hrs?

In the last 24 hrs, the best air quality in Owings Mills, Maryland was observed at 02:00:00 on 2025-10-21.

What is the current air quality in Owings Mills, Maryland?

The current air quality in Owings Mills, Maryland is 44, categorized as Good based on real-time data.

What pollutant is the most common in Owings Mills, Maryland?

The most common pollutant in Owings Mills, Maryland is PM2.5.

What should I do if the air quality in Owings Mills, Maryland is poor?

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

What is the current concentration of PM_2.5 in Owings Mills, Maryland?

The current PM_2.5 concentration at Owings Mills, Maryland is 7.954 μg/m³.

What is the current concentration of PM₁₀ in Owings Mills, Maryland?

The current PM₁₀ concentration at Owings Mills, Maryland is 34.069 μg/m³.

What is the current concentration of carbon monoxide (CO) in Owings Mills, Maryland?

The current carbon monoxide (CO) concentration at Owings Mills, Maryland is 0.56 ppm.

What is the current concentration of sulfur dioxide (SO₂) in Owings Mills, Maryland?

The current sulfur dioxide (SO₂) concentration at Owings Mills, Maryland is 0.763 ppb.

What is the current concentration of ozone (O₃) in Owings Mills, Maryland?

The current ozone (O₃) concentration at Owings Mills, Maryland is 4.127 ppm.

What is the current concentration of nitrogen dioxide (NO₂) in Owings Mills, Maryland?

The current nitrogen dioxide (NO₂) concentration at Owings Mills, Maryland is 14.611 ppb.

Certified

APIs

Refund Policy

Historical Climate Data

Terms & Conditions

Refund Policy

Terms & Conditions

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T15:00:00.000Z	54 \| moderate	11.424 \| good	48.846 \| good	25.135 \| good	0.198 \| good	6.58 \| good	0.227 \| good
2025-10-19T16:00:00.000Z	54 \| moderate	11.103 \| good	48.956 \| good	31.378 \| good	0.275 \| good	5.277 \| good	0.207 \| good
2025-10-19T17:00:00.000Z	52 \| moderate	9.978 \| good	45.072 \| good	36.537 \| good	0.274 \| good	5.514 \| good	0.207 \| good
2025-10-19T18:00:00.000Z	54 \| moderate	11.092 \| good	39.899 \| good	39.067 \| good	0.239 \| good	7.237 \| good	0.167 \| good
2025-10-19T19:00:00.000Z	54 \| moderate	10.726 \| good	47.336 \| good	40.81 \| good	0.268 \| good	4 \| good	0.207 \| good
2025-10-19T20:00:00.000Z	52 \| moderate	9.695 \| good	43.962 \| good	43.024 \| good	0.254 \| good	2.95 \| good	0.181 \| good
2025-10-19T21:00:00.000Z	52 \| moderate	9.575 \| good	36.244 \| good	43.004 \| good	0.223 \| good	3.608 \| good	0.167 \| good
2025-10-19T22:00:00.000Z	49 \| good	8.704 \| good	29.741 \| good	43.07 \| good	0.225 \| good	5.163 \| good	0.167 \| good
2025-10-19T23:00:00.000Z	49 \| good	8.807 \| good	39.226 \| good	41.697 \| good	0.298 \| good	5.145 \| good	0.167 \| good
2025-10-20T00:00:00.000Z	44 \| good	7.76 \| good	38.899 \| good	42.469 \| good	0.274 \| good	5.472 \| good	0.167 \| good
2025-10-20T01:00:00.000Z	37 \| good	6.239 \| good	26.788 \| good	39.612 \| good	0.232 \| good	6.505 \| good	0.194 \| good
2025-10-20T02:00:00.000Z	33 \| good	5.714 \| good	32.894 \| good	34.094 \| good	0.247 \| good	4.611 \| good	0.18 \| good
2025-10-20T03:00:00.000Z	35 \| good	5.825 \| good	17.577 \| good	37.659 \| good	0.231 \| good	5.252 \| good	0.127 \| good
2025-10-20T04:00:00.000Z	36 \| good	5.642 \| good	21.986 \| good	39.111 \| good	0.201 \| good	6.795 \| good	0.127 \| good
2025-10-20T05:00:00.000Z	35 \| good	4.276 \| good	11.199 \| good	37.983 \| good	0.21 \| good	5.549 \| good	0.127 \| good
2025-10-20T06:00:00.000Z	32 \| good	4.865 \| good	14.345 \| good	34.757 \| good	0.196 \| good	4.628 \| good	0.127 \| good
2025-10-20T07:00:00.000Z	32 \| good	4.657 \| good	24.05 \| good	34.965 \| good	0.213 \| good	4.623 \| good	0.127 \| good
2025-10-20T08:00:00.000Z	30 \| good	4.13 \| good	13.931 \| good	31.846 \| good	0.211 \| good	10.618 \| good	0.127 \| good
2025-10-20T09:00:00.000Z	26 \| good	2.954 \| good	14.489 \| good	27.81 \| good	0.19 \| good	10.657 \| good	0.14 \| good
2025-10-20T10:00:00.000Z	25 \| good	2.254 \| good	9.426 \| good	26.626 \| good	0.191 \| good	7.338 \| good	0.127 \| good
2025-10-20T11:00:00.000Z	26 \| good	1.957 \| good	10.034 \| good	27.615 \| good	0.194 \| good	9.457 \| good	0.127 \| good
2025-10-20T12:00:00.000Z	23 \| good	2.265 \| good	9.772 \| good	25.048 \| good	0.213 \| good	9.789 \| good	0.14 \| good
2025-10-20T13:00:00.000Z	23 \| good	1.963 \| good	6.896 \| good	25.116 \| good	0.223 \| good	9.824 \| good	0.167 \| good
2025-10-20T14:00:00.000Z	22 \| good	2.084 \| good	6.363 \| good	24.399 \| good	0.213 \| good	6.955 \| good	0.14 \| good
2025-10-20T15:00:00.000Z	24 \| good	3.059 \| good	11.202 \| good	26.243 \| good	0.244 \| good	5.809 \| good	0.127 \| good
2025-10-20T16:00:00.000Z	28 \| good	2.866 \| good	7.719 \| good	29.556 \| good	0.265 \| good	7.198 \| good	0.116 \| good
2025-10-20T17:00:00.000Z	28 \| good	3.144 \| good	11.615 \| good	30.275 \| good	0.263 \| good	5.525 \| good	0.139 \| good
2025-10-20T18:00:00.000Z	30 \| good	4.444 \| good	20.9 \| good	32.294 \| good	0.218 \| good	4.858 \| good	0.131 \| good
2025-10-20T19:00:00.000Z	31 \| good	4.688 \| good	18.401 \| good	32.837 \| good	0.163 \| good	6.086 \| good	0.131 \| good
2025-10-20T20:00:00.000Z	31 \| good	4.004 \| good	10.09 \| good	33.115 \| good	0.175 \| good	5.954 \| good	0.131 \| good
2025-10-20T21:00:00.000Z	30 \| good	3.298 \| good	14.149 \| good	31.766 \| good	0.143 \| good	5.044 \| good	0.131 \| good
2025-10-20T22:00:00.000Z	29 \| good	2.63 \| good	11.248 \| good	30.86 \| good	0.172 \| good	9.017 \| good	0.131 \| good
2025-10-20T23:00:00.000Z	29 \| good	3.361 \| good	13.26 \| good	30.546 \| good	0.182 \| good	19.761 \| good	0.127 \| good
2025-10-21T00:00:00.000Z	25 \| good	4.088 \| good	15.196 \| good	27.411 \| good	0.176 \| good	18.937 \| good	0.127 \| good
2025-10-21T01:00:00.000Z	24 \| good	3.352 \| good	15.217 \| good	24.193 \| good	0.166 \| good	25.291 \| good	0.153 \| good
2025-10-21T02:00:00.000Z	22 \| good	2.954 \| good	13.047 \| good	23.553 \| good	0.153 \| good	22.058 \| good	0.334 \| good
2025-10-21T03:00:00.000Z	54 \| moderate	10.731 \| good	47.43 \| good	17.104 \| good	1.692 \| good	13.301 \| good	0.199 \| good
2025-10-21T04:00:00.000Z	38 \| good	7.277 \| good	26.553 \| good	13.338 \| good	0.216 \| good	17.304 \| good	0.279 \| good
2025-10-21T05:00:00.000Z	38 \| good	7.043 \| good	27.028 \| good	6.915 \| good	0.214 \| good	15.629 \| good	0.299 \| good
2025-10-21T06:00:00.000Z	49 \| good	8.594 \| good	43.113 \| good	12.271 \| good	0.203 \| good	13.967 \| good	0.339 \| good
2025-10-21T07:00:00.000Z	44 \| good	8.081 \| good	31.234 \| good	9.875 \| good	0.202 \| good	13.925 \| good	0.313 \| good
2025-10-21T08:00:00.000Z	33 \| good	6.028 \| good	26.799 \| good	6.421 \| good	0.267 \| good	11.111 \| good	0.326 \| good
2025-10-21T09:00:00.000Z	27 \| good	4.99 \| good	21.217 \| good	3.646 \| good	0.268 \| good	11.183 \| good	0.34 \| good
2025-10-21T10:00:00.000Z	38 \| good	6.854 \| good	27.47 \| good	6.887 \| good	0.421 \| good	13.37 \| good	0.393 \| good
2025-10-21T11:00:00.000Z	44 \| good	7.898 \| good	27.722 \| good	2.589 \| good	0.522 \| good	13.894 \| good	0.42 \| good
2025-10-21T12:00:00.000Z	44 \| good	8.034 \| good	38.067 \| good	2.659 \| good	0.757 \| good	14.222 \| good	0.514 \| good
2025-10-21T13:00:00.000Z	44 \| good	7.774 \| good	33.155 \| good	4.067 \| good	0.75 \| good	14.147 \| good	0.554 \| good
2025-10-21T14:00:00.000Z	44 \| good	7.954 \| good	34.069 \| good	4.127 \| good	0.763 \| good	14.611 \| good	0.56 \| good
2025-10-21T15:00:00.000Z	44 \| good	7.654 \| good	33.887 \| good	25.359 \| good	2.984 \| good	7.313 \| good	0.192 \| good
2025-10-21T16:00:00.000Z	44 \| good	8.052 \| good	35.136 \| good	30.582 \| good	2.847 \| good	5.971 \| good	0.181 \| good
2025-10-21T17:00:00.000Z	44 \| good	8.253 \| good	36.376 \| good	35.22 \| good	2.709 \| good	4.629 \| good	0.17 \| good
2025-10-21T18:00:00.000Z	44 \| good	8.017 \| good	34.855 \| good	40.292 \| good	2.571 \| good	3.287 \| good	0.158 \| good
2025-10-21T19:00:00.000Z	40 \| good	7.268 \| good	32.158 \| good	43.037 \| good	2.465 \| good	3.499 \| good	0.16 \| good
2025-10-21T20:00:00.000Z	41 \| good	7.051 \| good	31.235 \| good	43.745 \| good	2.36 \| good	3.71 \| good	0.161 \| good
2025-10-21T21:00:00.000Z	38 \| good	7.36 \| good	32.636 \| good	38.611 \| good	2.255 \| good	3.922 \| good	0.162 \| good
2025-10-21T22:00:00.000Z	54 \| moderate	10.977 \| good	48.574 \| good	32.008 \| good	2.222 \| good	7.159 \| good	0.186 \| good
2025-10-21T23:00:00.000Z	58 \| moderate	12.928 \| fine	58.143 \| fine	23.572 \| good	2.19 \| good	10.397 \| good	0.21 \| good
2025-10-22T00:00:00.000Z	58 \| moderate	13.08 \| fine	58.719 \| fine	20.046 \| good	2.158 \| good	13.634 \| good	0.234 \| good
2025-10-22T01:00:00.000Z	52 \| moderate	9.691 \| good	42.718 \| good	23.53 \| good	1.999 \| good	12.902 \| good	0.227 \| good
2025-10-22T02:00:00.000Z	49 \| good	9.29 \| good	40.775 \| good	22.04 \| good	1.84 \| good	12.169 \| good	0.22 \| good
2025-10-22T03:00:00.000Z	49 \| good	9.183 \| good	40.567 \| good	26.129 \| good	1.681 \| good	11.436 \| good	0.214 \| good
2025-10-22T04:00:00.000Z	49 \| good	8.608 \| good	38.239 \| good	26.508 \| good	1.568 \| good	9.844 \| good	0.202 \| good
2025-10-22T05:00:00.000Z	49 \| good	8.523 \| good	37.367 \| good	23.936 \| good	1.456 \| good	8.251 \| good	0.191 \| good
2025-10-22T06:00:00.000Z	38 \| good	7.496 \| good	32.899 \| good	24.742 \| good	1.343 \| good	6.658 \| good	0.18 \| good
2025-10-22T07:00:00.000Z	38 \| good	6.876 \| good	30.654 \| good	24.244 \| good	1.784 \| good	5.534 \| good	0.167 \| good
2025-10-22T08:00:00.000Z	38 \| good	6.673 \| good	29.698 \| good	23.443 \| good	2.224 \| good	4.41 \| good	0.155 \| good
2025-10-22T09:00:00.000Z	33 \| good	6.17 \| good	27.443 \| good	21.751 \| good	2.665 \| good	3.285 \| good	0.142 \| good
2025-10-22T10:00:00.000Z	33 \| good	6.073 \| good	26.467 \| good	18.182 \| good	2.945 \| good	3.946 \| good	0.145 \| good
2025-10-22T11:00:00.000Z	27 \| good	4.562 \| good	19.95 \| good	18.529 \| good	3.225 \| good	4.607 \| good	0.147 \| good
2025-10-22T12:00:00.000Z	27 \| good	5.296 \| good	23.094 \| good	17.713 \| good	3.504 \| good	5.268 \| good	0.149 \| good
2025-10-22T13:00:00.000Z	33 \| good	6.438 \| good	28.776 \| good	22.434 \| good	3.23 \| good	4.243 \| good	0.144 \| good
2025-10-22T14:00:00.000Z	28 \| good	4.366 \| good	19.273 \| good	29.774 \| good	2.956 \| good	3.218 \| good	0.139 \| good
2025-10-22T15:00:00.000Z	31 \| good	3.766 \| good	16.339 \| good	32.93 \| good	2.682 \| good	2.193 \| good	0.133 \| good
2025-10-22T16:00:00.000Z	31 \| good	4.586 \| good	19.833 \| good	34.472 \| good	2.469 \| good	2.005 \| good	0.131 \| good
2025-10-22T17:00:00.000Z	33 \| good	5.847 \| good	25.685 \| good	34.154 \| good	2.255 \| good	1.818 \| good	0.129 \| good
2025-10-22T18:00:00.000Z	33 \| good	6.16 \| good	27.648 \| good	34.561 \| good	2.041 \| good	1.63 \| good	0.127 \| good
2025-10-22T19:00:00.000Z	33 \| good	5.518 \| good	24.003 \| good	34.029 \| good	1.878 \| good	1.971 \| good	0.129 \| good
2025-10-22T20:00:00.000Z	31 \| good	5.113 \| good	21.884 \| good	33.869 \| good	1.715 \| good	2.312 \| good	0.131 \| good
2025-10-22T21:00:00.000Z	31 \| good	4.421 \| good	19.465 \| good	32.871 \| good	1.552 \| good	2.654 \| good	0.133 \| good
2025-10-22T22:00:00.000Z	27 \| good	4.992 \| good	22.102 \| good	29.293 \| good	1.605 \| good	3.929 \| good	0.141 \| good
2025-10-22T23:00:00.000Z	33 \| good	5.764 \| good	25.087 \| good	27.312 \| good	1.658 \| good	5.205 \| good	0.15 \| good
2025-10-23T00:00:00.000Z	44 \| good	8.487 \| good	37.398 \| good	26.711 \| good	1.712 \| good	6.481 \| good	0.158 \| good
2025-10-23T01:00:00.000Z	52 \| moderate	10.171 \| good	44.864 \| good	23.89 \| good	1.935 \| good	6.144 \| good	0.155 \| good
2025-10-23T02:00:00.000Z	52 \| moderate	9.73 \| good	43.188 \| good	22.468 \| good	2.159 \| good	5.807 \| good	0.151 \| good
2025-10-23T03:00:00.000Z	52 \| moderate	10.125 \| good	44.765 \| good	19.903 \| good	2.383 \| good	5.47 \| good	0.148 \| good
2025-10-23T04:00:00.000Z	49 \| good	9.133 \| good	40.36 \| good	20.507 \| good	2.519 \| good	5.201 \| good	0.146 \| good
2025-10-23T05:00:00.000Z	49 \| good	9.487 \| good	42.006 \| good	20.801 \| good	2.655 \| good	4.933 \| good	0.144 \| good
2025-10-23T06:00:00.000Z	52 \| moderate	9.859 \| good	43.944 \| good	20.998 \| good	2.792 \| good	4.665 \| good	0.141 \| good
2025-10-23T07:00:00.000Z	49 \| good	8.867 \| good	38.963 \| good	20.047 \| good	2.687 \| good	4.445 \| good	0.139 \| good
2025-10-23T08:00:00.000Z	44 \| good	7.93 \| good	34.805 \| good	18.257 \| good	2.583 \| good	4.226 \| good	0.137 \| good
2025-10-23T09:00:00.000Z	44 \| good	7.709 \| good	33.749 \| good	15.155 \| good	2.478 \| good	4.006 \| good	0.135 \| good
2025-10-23T10:00:00.000Z	44 \| good	7.825 \| good	34.615 \| good	7.452 \| good	2.393 \| good	4.743 \| good	0.142 \| good
2025-10-23T11:00:00.000Z	44 \| good	8.261 \| good	36.124 \| good	7.858 \| good	2.307 \| good	5.48 \| good	0.149 \| good
2025-10-23T12:00:00.000Z	44 \| good	8.045 \| good	35.093 \| good	13.854 \| good	2.222 \| good	6.217 \| good	0.156 \| good
2025-10-23T13:00:00.000Z	49 \| good	8.899 \| good	39.221 \| good	23.443 \| good	2.238 \| good	5.011 \| good	0.151 \| good
2025-10-23T14:00:00.000Z	38 \| good	6.676 \| good	29.562 \| good	31.633 \| good	2.254 \| good	3.804 \| good	0.146 \| good

Owings Mills, Maryland live air quality index now

Major air pollutants in Owings Mills, Maryland

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Owings Mills, Maryland air quality forecast and history

Get reliable air quality data to drive your business

Owings Mills, Maryland air quality map: Track AQI near you

Air quality in nearby cities

Garrison, Maryland

Randallstown, Maryland

Reisterstown, Maryland

Pikesville, Maryland

Milford Mill, Maryland

Lochearn, Maryland

How accurate is Maryland, USA air quality data?

Air quality levels in US

Frequently asked questions

How often is the air quality data for Owings Mills, Maryland updated?

When was the worst air quality at Owings Mills, Maryland in the last 24 hrs?

When was the best air quality at Owings Mills, Maryland in the last 24 hrs?

What is the current air quality in Owings Mills, Maryland?

What pollutant is the most common in Owings Mills, Maryland?

What should I do if the air quality in Owings Mills, Maryland is poor?

What is the current concentration of PM2.5 in Owings Mills, Maryland?

What is the current concentration of PM10 in Owings Mills, Maryland?

What is the current concentration of carbon monoxide (CO) in Owings Mills, Maryland?

What is the current concentration of sulfur dioxide (SO2) in Owings Mills, Maryland?

What is the current concentration of ozone (O3) in Owings Mills, Maryland?

What is the current concentration of nitrogen dioxide (NO2) in Owings Mills, Maryland?

Particulate Matter_2.5 (PM_2.5)

Particulate Matter₁₀ (PM₁₀)

Ozone (O₃)

Sulfur Dioxide (SO₂)

Nitrogen Dioxide (NO₂)

What is the current concentration of PM_2.5 in Owings Mills, Maryland?

What is the current concentration of PM₁₀ in Owings Mills, Maryland?

What is the current concentration of sulfur dioxide (SO₂) in Owings Mills, Maryland?

What is the current concentration of ozone (O₃) in Owings Mills, Maryland?

What is the current concentration of nitrogen dioxide (NO₂) in Owings Mills, Maryland?