What is the current concentration of PM10 in Hagerstown, Maryland?

The current PM10 concentration at Hagerstown, Maryland is 15.299 μg/m3.

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

The current sulfur dioxide (SO2) concentration at Hagerstown, Maryland is 0.22 ppb.

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

The current ozone (O3) concentration at Hagerstown, Maryland is 20.094 ppm.

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

The current nitrogen dioxide (NO2) concentration at Hagerstown, Maryland is 14.835 ppb.

Hagerstown, Maryland live air quality index now

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

Stay updated with real-time air quality in Hagerstown, 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

Hagerstown, Maryland

Last updated: ... (Local time)

Major air pollutants in Hagerstown, Maryland

Good

Fine

Moderate

Poor

Very poor

Hazardous

Particulate Matter_2.5 (PM_2.5)

3.85 μg/m³

12.1

35.5

55.5

250.5

500.5+

Particulate Matter₁₀ (PM₁₀)

15.30 μg/m³

155

255

425

605+

Ozone (O₃)

20.09 ppb

201

201+

Sulfur Dioxide (SO₂)

0.22 ppb

186

605

1005+

Nitrogen Dioxide (NO₂)

14.84 ppb

101

361

1250

2050+

Carbon Monoxide (CO)

0.33 ppm

4.5

9.5

12.5

230.5

50.5+

Pollen Level

Low

Hagerstown, Maryland

Get Live Pollen Counts

Hagerstown, Maryland

Scroll To Air Quality Map

Track live Hagerstown, Maryland air quality forecast and history

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T06:00:00.000Z	52 \| moderate	10.481 \| good	46.602 \| good	27.482 \| good	0.221 \| good	11.019 \| good	0.339 \| good
2025-10-19T07:00:00.000Z	54 \| moderate	10.589 \| good	47.272 \| good	27.482 \| good	0.205 \| good	9.983 \| good	0.32 \| good
2025-10-19T08:00:00.000Z	49 \| good	9.373 \| good	42.436 \| good	29.914 \| good	0.228 \| good	8.189 \| good	0.339 \| good
2025-10-19T09:00:00.000Z	54 \| moderate	11.017 \| good	48.022 \| good	27.227 \| good	0.189 \| good	7.065 \| good	0.321 \| good
2025-10-19T10:00:00.000Z	54 \| moderate	10.692 \| good	47.526 \| good	25.268 \| good	0.191 \| good	11.976 \| good	0.302 \| good
2025-10-19T11:00:00.000Z	54 \| moderate	10.54 \| good	46.65 \| good	17.369 \| good	0.234 \| good	8.558 \| good	0.3 \| good
2025-10-19T12:00:00.000Z	54 \| moderate	10.958 \| good	47.885 \| good	24.442 \| good	0.171 \| good	8.153 \| good	0.302 \| good
2025-10-19T13:00:00.000Z	54 \| moderate	11.038 \| good	49.455 \| good	24.397 \| good	0.197 \| good	8.427 \| good	0.321 \| good
2025-10-19T14:00:00.000Z	56 \| moderate	11.86 \| good	54.338 \| good	25.788 \| good	0.207 \| good	6.359 \| good	0.317 \| good
2025-10-19T15:00:00.000Z	56 \| moderate	12.255 \| fine	55.475 \| fine	24.673 \| good	0.284 \| good	3.994 \| good	0.241 \| good
2025-10-19T16:00:00.000Z	58 \| moderate	12.748 \| fine	54.983 \| good	30.504 \| good	0.346 \| good	2.873 \| good	0.222 \| good
2025-10-19T17:00:00.000Z	54 \| moderate	10.794 \| good	45.922 \| good	33.763 \| good	0.345 \| good	1.993 \| good	0.222 \| good
2025-10-19T18:00:00.000Z	49 \| good	8.52 \| good	36.482 \| good	38.069 \| good	0.321 \| good	2.016 \| good	0.181 \| good
2025-10-19T19:00:00.000Z	49 \| good	9.125 \| good	40.476 \| good	41.227 \| good	0.339 \| good	2.048 \| good	0.222 \| good
2025-10-19T20:00:00.000Z	49 \| good	8.955 \| good	40.01 \| good	42.282 \| good	0.297 \| good	1.849 \| good	0.202 \| good
2025-10-19T21:00:00.000Z	49 \| good	8.531 \| good	37.181 \| good	44.921 \| good	0.28 \| good	1.594 \| good	0.181 \| good
2025-10-19T22:00:00.000Z	44 \| good	7.807 \| good	33.99 \| good	45.756 \| good	0.28 \| good	1.848 \| good	0.181 \| good
2025-10-19T23:00:00.000Z	42 \| good	5.974 \| good	25.674 \| good	45.367 \| good	0.282 \| good	2.11 \| good	0.181 \| good
2025-10-20T00:00:00.000Z	39 \| good	5.989 \| good	26.951 \| good	41.791 \| good	0.242 \| good	3.318 \| good	0.181 \| good
2025-10-20T01:00:00.000Z	37 \| good	5.893 \| good	25.936 \| good	39.846 \| good	0.213 \| good	2.986 \| good	0.2 \| good
2025-10-20T02:00:00.000Z	34 \| good	4.818 \| good	20.798 \| good	37.169 \| good	0.265 \| good	2.188 \| good	0.2 \| good
2025-10-20T03:00:00.000Z	33 \| good	3.409 \| good	14.973 \| good	36.163 \| good	0.258 \| good	1.201 \| good	0.143 \| good
2025-10-20T04:00:00.000Z	31 \| good	3.66 \| good	15.27 \| good	34.391 \| good	0.212 \| good	1.826 \| good	0.143 \| good
2025-10-20T05:00:00.000Z	31 \| good	3.26 \| good	14.584 \| good	34.104 \| good	0.223 \| good	1.719 \| good	0.143 \| good
2025-10-20T06:00:00.000Z	28 \| good	1.663 \| good	7.143 \| good	30.354 \| good	0.197 \| good	1.695 \| good	0.143 \| good
2025-10-20T07:00:00.000Z	28 \| good	1.674 \| good	7.348 \| good	30.354 \| good	0.214 \| good	1.5 \| good	0.143 \| good
2025-10-20T08:00:00.000Z	24 \| good	3.808 \| good	16.717 \| good	26.273 \| good	0.207 \| good	3.006 \| good	0.143 \| good
2025-10-20T09:00:00.000Z	23 \| good	3.706 \| good	16.498 \| good	25.255 \| good	0.2 \| good	3.305 \| good	0.163 \| good
2025-10-20T10:00:00.000Z	22 \| good	3.666 \| good	16.26 \| good	22.546 \| good	0.232 \| good	2.38 \| good	0.143 \| good
2025-10-20T11:00:00.000Z	22 \| good	2.756 \| good	11.2 \| good	24.158 \| good	0.212 \| good	2.917 \| good	0.141 \| good
2025-10-20T12:00:00.000Z	24 \| good	0.991 \| good	4.141 \| good	26.11 \| good	0.222 \| good	2.784 \| good	0.122 \| good
2025-10-20T13:00:00.000Z	24 \| good	1.042 \| good	4.232 \| good	26.119 \| good	0.175 \| good	2.946 \| good	0.161 \| good
2025-10-20T14:00:00.000Z	26 \| good	0.416 \| good	2.06 \| good	27.99 \| good	0.179 \| good	3.522 \| good	0.179 \| good
2025-10-20T15:00:00.000Z	27 \| good	0.956 \| good	3.201 \| good	29.054 \| good	0.283 \| good	2.56 \| good	0.14 \| good
2025-10-20T16:00:00.000Z	27 \| good	0.623 \| good	2.88 \| good	29.114 \| good	0.237 \| good	2.183 \| good	0.121 \| good
2025-10-20T17:00:00.000Z	28 \| good	0.898 \| good	3.12 \| good	29.984 \| good	0.236 \| good	1.837 \| good	0.139 \| good
2025-10-20T18:00:00.000Z	29 \| good	1.469 \| good	5.609 \| good	31.013 \| good	0.217 \| good	1.547 \| good	0.14 \| good
2025-10-20T19:00:00.000Z	31 \| good	1.302 \| good	5.641 \| good	32.875 \| good	0.21 \| good	1.718 \| good	0.14 \| good
2025-10-20T20:00:00.000Z	30 \| good	1.217 \| good	4.964 \| good	32.033 \| good	0.211 \| good	1.732 \| good	0.14 \| good
2025-10-20T21:00:00.000Z	29 \| good	1.183 \| good	4.646 \| good	31.162 \| good	0.178 \| good	1.578 \| good	0.14 \| good
2025-10-20T22:00:00.000Z	31 \| good	0.729 \| good	3.223 \| good	33.042 \| good	0.198 \| good	2.391 \| good	0.14 \| good
2025-10-20T23:00:00.000Z	29 \| good	0.948 \| good	4.223 \| good	31.178 \| good	0.198 \| good	1.893 \| good	0.14 \| good
2025-10-21T00:00:00.000Z	27 \| good	2.755 \| good	11.731 \| good	29.019 \| good	0.196 \| good	2.909 \| good	0.14 \| good
2025-10-21T01:00:00.000Z	26 \| good	3.781 \| good	16.753 \| good	27.672 \| good	0.215 \| good	8.602 \| good	0.179 \| good
2025-10-21T02:00:00.000Z	25 \| good	3.659 \| good	14.99 \| good	27.284 \| good	0.192 \| good	9.971 \| good	0.262 \| good
2025-10-21T03:00:00.000Z	38 \| good	6.602 \| good	29.282 \| good	21.723 \| good	1.667 \| good	10.579 \| good	0.2 \| good
2025-10-21T04:00:00.000Z	22 \| good	3.854 \| good	15.299 \| good	20.094 \| good	0.22 \| good	14.835 \| good	0.334 \| good
2025-10-21T05:00:00.000Z	22 \| good	3.854 \| good	15.299 \| good	20.094 \| good	0.22 \| good	14.835 \| good	0.334 \| good
2025-10-20T19:00:00.000Z	39 \| good	3.968 \| good	17.057 \| good	41.744 \| good	1.285 \| good	1.273 \| good	0.109 \| good
2025-10-20T20:00:00.000Z	37 \| good	4.419 \| good	19 \| good	40.481 \| good	1.271 \| good	1.378 \| good	0.11 \| good
2025-10-20T21:00:00.000Z	37 \| good	4.71 \| good	20.793 \| good	40.223 \| good	1.258 \| good	1.484 \| good	0.111 \| good
2025-10-20T22:00:00.000Z	35 \| good	4.056 \| good	17.991 \| good	38.272 \| good	1.292 \| good	2.828 \| good	0.122 \| good
2025-10-20T23:00:00.000Z	32 \| good	5.359 \| good	22.984 \| good	35.224 \| good	1.327 \| good	4.172 \| good	0.134 \| good
2025-10-21T00:00:00.000Z	33 \| good	5.25 \| good	22.582 \| good	35.514 \| good	1.361 \| good	5.517 \| good	0.146 \| good
2025-10-21T01:00:00.000Z	33 \| good	6.434 \| good	28.304 \| good	31.999 \| good	1.413 \| good	7.718 \| good	0.167 \| good
2025-10-21T02:00:00.000Z	49 \| good	8.566 \| good	37.825 \| good	25.998 \| good	1.464 \| good	9.919 \| good	0.189 \| good
2025-10-21T03:00:00.000Z	38 \| good	6.733 \| good	30.123 \| good	20.652 \| good	1.516 \| good	12.12 \| good	0.21 \| good
2025-10-21T04:00:00.000Z	38 \| good	6.88 \| good	30.55 \| good	18.914 \| good	1.503 \| good	11.176 \| good	0.205 \| good
2025-10-21T05:00:00.000Z	33 \| good	6.467 \| good	28.683 \| good	20.001 \| good	1.489 \| good	10.232 \| good	0.2 \| good
2025-10-21T06:00:00.000Z	22 \| good	4.31 \| good	18.711 \| good	20.629 \| good	1.476 \| good	9.288 \| good	0.195 \| good
2025-10-21T07:00:00.000Z	16 \| good	3.24 \| good	13.407 \| good	16.455 \| good	1.596 \| good	7.886 \| good	0.183 \| good
2025-10-21T08:00:00.000Z	16 \| good	2.727 \| good	11.45 \| good	12.291 \| good	1.717 \| good	6.483 \| good	0.172 \| good
2025-10-21T09:00:00.000Z	12 \| good	1.575 \| good	6.313 \| good	12.526 \| good	1.837 \| good	5.08 \| good	0.161 \| good
2025-10-21T10:00:00.000Z	16 \| good	3.479 \| good	15.463 \| good	10.541 \| good	1.841 \| good	5.549 \| good	0.167 \| good
2025-10-21T11:00:00.000Z	27 \| good	5.287 \| good	22.632 \| good	13.938 \| good	1.845 \| good	6.019 \| good	0.174 \| good
2025-10-21T12:00:00.000Z	22 \| good	3.973 \| good	17.132 \| good	18.484 \| good	1.849 \| good	6.489 \| good	0.18 \| good
2025-10-21T13:00:00.000Z	27 \| good	5.265 \| good	22.626 \| good	21.204 \| good	1.782 \| good	5.487 \| good	0.178 \| good
2025-10-21T14:00:00.000Z	27 \| good	5.406 \| good	23.365 \| good	22.164 \| good	1.715 \| good	4.485 \| good	0.176 \| good
2025-10-21T15:00:00.000Z	33 \| good	6.248 \| good	27.95 \| good	28.134 \| good	1.648 \| good	3.483 \| good	0.175 \| good
2025-10-21T16:00:00.000Z	34 \| good	4.051 \| good	17.725 \| good	37.269 \| good	1.537 \| good	2.769 \| good	0.167 \| good
2025-10-21T17:00:00.000Z	42 \| good	4.283 \| good	18.983 \| good	44.51 \| good	1.425 \| good	2.055 \| good	0.159 \| good
2025-10-21T18:00:00.000Z	42 \| good	4.734 \| good	20.937 \| good	44.712 \| good	1.314 \| good	1.341 \| good	0.151 \| good
2025-10-21T19:00:00.000Z	38 \| good	5.02 \| good	21.963 \| good	40.867 \| good	1.317 \| good	1.335 \| good	0.148 \| good
2025-10-21T20:00:00.000Z	36 \| good	4.837 \| good	21.078 \| good	38.743 \| good	1.321 \| good	1.329 \| good	0.145 \| good
2025-10-21T21:00:00.000Z	38 \| good	6.859 \| good	30.438 \| good	37.22 \| good	1.324 \| good	1.323 \| good	0.142 \| good
2025-10-21T22:00:00.000Z	33 \| good	5.564 \| good	24.287 \| good	34.29 \| good	1.349 \| good	4.191 \| good	0.168 \| good
2025-10-21T23:00:00.000Z	44 \| good	7.784 \| good	34.058 \| good	36.552 \| good	1.374 \| good	7.059 \| good	0.194 \| good
2025-10-22T00:00:00.000Z	38 \| good	7.345 \| good	32.286 \| good	35.9 \| good	1.399 \| good	9.926 \| good	0.219 \| good
2025-10-22T01:00:00.000Z	44 \| good	8.497 \| good	37.306 \| good	35.591 \| good	1.614 \| good	7.788 \| good	0.195 \| good
2025-10-22T02:00:00.000Z	38 \| good	7.277 \| good	32.175 \| good	32.956 \| good	1.828 \| good	5.65 \| good	0.172 \| good
2025-10-22T03:00:00.000Z	38 \| good	6.879 \| good	30.885 \| good	30.658 \| good	2.043 \| good	3.512 \| good	0.148 \| good
2025-10-22T04:00:00.000Z	33 \| good	5.85 \| good	25.754 \| good	29.469 \| good	2.151 \| good	3.222 \| good	0.141 \| good
2025-10-22T05:00:00.000Z	27 \| good	5.176 \| good	22.49 \| good	28.563 \| good	2.26 \| good	2.932 \| good	0.134 \| good
2025-10-22T06:00:00.000Z	25 \| good	3.345 \| good	14.719 \| good	26.544 \| good	2.368 \| good	2.642 \| good	0.127 \| good
2025-10-22T07:00:00.000Z	24 \| good	3.443 \| good	15.278 \| good	25.649 \| good	2.566 \| good	2.486 \| good	0.125 \| good
2025-10-22T08:00:00.000Z	26 \| good	3.961 \| good	17.307 \| good	27.569 \| good	2.764 \| good	2.329 \| good	0.123 \| good
2025-10-22T09:00:00.000Z	29 \| good	1.394 \| good	5.459 \| good	30.69 \| good	2.962 \| good	2.172 \| good	0.12 \| good
2025-10-22T10:00:00.000Z	27 \| good	2.298 \| good	9.359 \| good	28.855 \| good	2.924 \| good	2.617 \| good	0.124 \| good
2025-10-22T11:00:00.000Z	27 \| good	3.144 \| good	13.496 \| good	29.196 \| good	2.886 \| good	3.062 \| good	0.128 \| good
2025-10-22T12:00:00.000Z	26 \| good	3.215 \| good	14.104 \| good	28.494 \| good	2.848 \| good	3.507 \| good	0.132 \| good
2025-10-22T13:00:00.000Z	28 \| good	4.035 \| good	17.883 \| good	29.889 \| good	2.513 \| good	2.858 \| good	0.13 \| good
2025-10-22T14:00:00.000Z	28 \| good	3.292 \| good	14.287 \| good	29.736 \| good	2.177 \| good	2.208 \| good	0.127 \| good
2025-10-22T15:00:00.000Z	30 \| good	4.071 \| good	17.848 \| good	31.519 \| good	1.841 \| good	1.558 \| good	0.125 \| good
2025-10-22T16:00:00.000Z	33 \| good	2.799 \| good	11.338 \| good	36.257 \| good	1.555 \| good	1.377 \| good	0.122 \| good
2025-10-22T17:00:00.000Z	37 \| good	2.665 \| good	10.946 \| good	39.989 \| good	1.268 \| good	1.195 \| good	0.119 \| good
2025-10-22T18:00:00.000Z	38 \| good	4.709 \| good	20.662 \| good	41.265 \| good	0.982 \| good	1.014 \| good	0.116 \| good

Hagerstown

Get reliable air quality data to drive your business

Hagerstown, Maryland air quality map: Track AQI near you

0.32ppm

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 Hagerstown, Maryland updated?

The air quality for Hagerstown, Maryland is updated every hour.

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

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

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

In the last 24 hrs, the best air quality in Hagerstown, Maryland was observed at 04:00:00 on 2025-10-21.

What is the current air quality in Hagerstown, Maryland?

The current air quality in Hagerstown, Maryland is 22, categorized as Good based on real-time data.

What pollutant is the most common in Hagerstown, Maryland?

The most common pollutant in Hagerstown, Maryland is PM2.5.

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

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

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

The current PM_2.5 concentration at Hagerstown, Maryland is 3.854 μg/m³.

What is the current concentration of PM₁₀ in Hagerstown, Maryland?

The current PM₁₀ concentration at Hagerstown, Maryland is 15.299 μg/m³.

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

The current carbon monoxide (CO) concentration at Hagerstown, Maryland is 0.334 ppm.

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

The current sulfur dioxide (SO₂) concentration at Hagerstown, Maryland is 0.22 ppb.

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

The current ozone (O₃) concentration at Hagerstown, Maryland is 20.094 ppm.

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

The current nitrogen dioxide (NO₂) concentration at Hagerstown, Maryland is 14.835 ppb.

Certified

APIs

Refund Policy

Historical Climate Data

Terms & Conditions

Refund Policy

Terms & Conditions

Time	AQI	PM_2.5	PM₁₀	O₃	SO₂	NO₂	CO
2025-10-19T06:00:00.000Z	52 \| moderate	10.481 \| good	46.602 \| good	27.482 \| good	0.221 \| good	11.019 \| good	0.339 \| good
2025-10-19T07:00:00.000Z	54 \| moderate	10.589 \| good	47.272 \| good	27.482 \| good	0.205 \| good	9.983 \| good	0.32 \| good
2025-10-19T08:00:00.000Z	49 \| good	9.373 \| good	42.436 \| good	29.914 \| good	0.228 \| good	8.189 \| good	0.339 \| good
2025-10-19T09:00:00.000Z	54 \| moderate	11.017 \| good	48.022 \| good	27.227 \| good	0.189 \| good	7.065 \| good	0.321 \| good
2025-10-19T10:00:00.000Z	54 \| moderate	10.692 \| good	47.526 \| good	25.268 \| good	0.191 \| good	11.976 \| good	0.302 \| good
2025-10-19T11:00:00.000Z	54 \| moderate	10.54 \| good	46.65 \| good	17.369 \| good	0.234 \| good	8.558 \| good	0.3 \| good
2025-10-19T12:00:00.000Z	54 \| moderate	10.958 \| good	47.885 \| good	24.442 \| good	0.171 \| good	8.153 \| good	0.302 \| good
2025-10-19T13:00:00.000Z	54 \| moderate	11.038 \| good	49.455 \| good	24.397 \| good	0.197 \| good	8.427 \| good	0.321 \| good
2025-10-19T14:00:00.000Z	56 \| moderate	11.86 \| good	54.338 \| good	25.788 \| good	0.207 \| good	6.359 \| good	0.317 \| good
2025-10-19T15:00:00.000Z	56 \| moderate	12.255 \| fine	55.475 \| fine	24.673 \| good	0.284 \| good	3.994 \| good	0.241 \| good
2025-10-19T16:00:00.000Z	58 \| moderate	12.748 \| fine	54.983 \| good	30.504 \| good	0.346 \| good	2.873 \| good	0.222 \| good
2025-10-19T17:00:00.000Z	54 \| moderate	10.794 \| good	45.922 \| good	33.763 \| good	0.345 \| good	1.993 \| good	0.222 \| good
2025-10-19T18:00:00.000Z	49 \| good	8.52 \| good	36.482 \| good	38.069 \| good	0.321 \| good	2.016 \| good	0.181 \| good
2025-10-19T19:00:00.000Z	49 \| good	9.125 \| good	40.476 \| good	41.227 \| good	0.339 \| good	2.048 \| good	0.222 \| good
2025-10-19T20:00:00.000Z	49 \| good	8.955 \| good	40.01 \| good	42.282 \| good	0.297 \| good	1.849 \| good	0.202 \| good
2025-10-19T21:00:00.000Z	49 \| good	8.531 \| good	37.181 \| good	44.921 \| good	0.28 \| good	1.594 \| good	0.181 \| good
2025-10-19T22:00:00.000Z	44 \| good	7.807 \| good	33.99 \| good	45.756 \| good	0.28 \| good	1.848 \| good	0.181 \| good
2025-10-19T23:00:00.000Z	42 \| good	5.974 \| good	25.674 \| good	45.367 \| good	0.282 \| good	2.11 \| good	0.181 \| good
2025-10-20T00:00:00.000Z	39 \| good	5.989 \| good	26.951 \| good	41.791 \| good	0.242 \| good	3.318 \| good	0.181 \| good
2025-10-20T01:00:00.000Z	37 \| good	5.893 \| good	25.936 \| good	39.846 \| good	0.213 \| good	2.986 \| good	0.2 \| good
2025-10-20T02:00:00.000Z	34 \| good	4.818 \| good	20.798 \| good	37.169 \| good	0.265 \| good	2.188 \| good	0.2 \| good
2025-10-20T03:00:00.000Z	33 \| good	3.409 \| good	14.973 \| good	36.163 \| good	0.258 \| good	1.201 \| good	0.143 \| good
2025-10-20T04:00:00.000Z	31 \| good	3.66 \| good	15.27 \| good	34.391 \| good	0.212 \| good	1.826 \| good	0.143 \| good
2025-10-20T05:00:00.000Z	31 \| good	3.26 \| good	14.584 \| good	34.104 \| good	0.223 \| good	1.719 \| good	0.143 \| good
2025-10-20T06:00:00.000Z	28 \| good	1.663 \| good	7.143 \| good	30.354 \| good	0.197 \| good	1.695 \| good	0.143 \| good
2025-10-20T07:00:00.000Z	28 \| good	1.674 \| good	7.348 \| good	30.354 \| good	0.214 \| good	1.5 \| good	0.143 \| good
2025-10-20T08:00:00.000Z	24 \| good	3.808 \| good	16.717 \| good	26.273 \| good	0.207 \| good	3.006 \| good	0.143 \| good
2025-10-20T09:00:00.000Z	23 \| good	3.706 \| good	16.498 \| good	25.255 \| good	0.2 \| good	3.305 \| good	0.163 \| good
2025-10-20T10:00:00.000Z	22 \| good	3.666 \| good	16.26 \| good	22.546 \| good	0.232 \| good	2.38 \| good	0.143 \| good
2025-10-20T11:00:00.000Z	22 \| good	2.756 \| good	11.2 \| good	24.158 \| good	0.212 \| good	2.917 \| good	0.141 \| good
2025-10-20T12:00:00.000Z	24 \| good	0.991 \| good	4.141 \| good	26.11 \| good	0.222 \| good	2.784 \| good	0.122 \| good
2025-10-20T13:00:00.000Z	24 \| good	1.042 \| good	4.232 \| good	26.119 \| good	0.175 \| good	2.946 \| good	0.161 \| good
2025-10-20T14:00:00.000Z	26 \| good	0.416 \| good	2.06 \| good	27.99 \| good	0.179 \| good	3.522 \| good	0.179 \| good
2025-10-20T15:00:00.000Z	27 \| good	0.956 \| good	3.201 \| good	29.054 \| good	0.283 \| good	2.56 \| good	0.14 \| good
2025-10-20T16:00:00.000Z	27 \| good	0.623 \| good	2.88 \| good	29.114 \| good	0.237 \| good	2.183 \| good	0.121 \| good
2025-10-20T17:00:00.000Z	28 \| good	0.898 \| good	3.12 \| good	29.984 \| good	0.236 \| good	1.837 \| good	0.139 \| good
2025-10-20T18:00:00.000Z	29 \| good	1.469 \| good	5.609 \| good	31.013 \| good	0.217 \| good	1.547 \| good	0.14 \| good
2025-10-20T19:00:00.000Z	31 \| good	1.302 \| good	5.641 \| good	32.875 \| good	0.21 \| good	1.718 \| good	0.14 \| good
2025-10-20T20:00:00.000Z	30 \| good	1.217 \| good	4.964 \| good	32.033 \| good	0.211 \| good	1.732 \| good	0.14 \| good
2025-10-20T21:00:00.000Z	29 \| good	1.183 \| good	4.646 \| good	31.162 \| good	0.178 \| good	1.578 \| good	0.14 \| good
2025-10-20T22:00:00.000Z	31 \| good	0.729 \| good	3.223 \| good	33.042 \| good	0.198 \| good	2.391 \| good	0.14 \| good
2025-10-20T23:00:00.000Z	29 \| good	0.948 \| good	4.223 \| good	31.178 \| good	0.198 \| good	1.893 \| good	0.14 \| good
2025-10-21T00:00:00.000Z	27 \| good	2.755 \| good	11.731 \| good	29.019 \| good	0.196 \| good	2.909 \| good	0.14 \| good
2025-10-21T01:00:00.000Z	26 \| good	3.781 \| good	16.753 \| good	27.672 \| good	0.215 \| good	8.602 \| good	0.179 \| good
2025-10-21T02:00:00.000Z	25 \| good	3.659 \| good	14.99 \| good	27.284 \| good	0.192 \| good	9.971 \| good	0.262 \| good
2025-10-21T03:00:00.000Z	38 \| good	6.602 \| good	29.282 \| good	21.723 \| good	1.667 \| good	10.579 \| good	0.2 \| good
2025-10-21T04:00:00.000Z	22 \| good	3.854 \| good	15.299 \| good	20.094 \| good	0.22 \| good	14.835 \| good	0.334 \| good
2025-10-21T05:00:00.000Z	22 \| good	3.854 \| good	15.299 \| good	20.094 \| good	0.22 \| good	14.835 \| good	0.334 \| good
2025-10-20T19:00:00.000Z	39 \| good	3.968 \| good	17.057 \| good	41.744 \| good	1.285 \| good	1.273 \| good	0.109 \| good
2025-10-20T20:00:00.000Z	37 \| good	4.419 \| good	19 \| good	40.481 \| good	1.271 \| good	1.378 \| good	0.11 \| good
2025-10-20T21:00:00.000Z	37 \| good	4.71 \| good	20.793 \| good	40.223 \| good	1.258 \| good	1.484 \| good	0.111 \| good
2025-10-20T22:00:00.000Z	35 \| good	4.056 \| good	17.991 \| good	38.272 \| good	1.292 \| good	2.828 \| good	0.122 \| good
2025-10-20T23:00:00.000Z	32 \| good	5.359 \| good	22.984 \| good	35.224 \| good	1.327 \| good	4.172 \| good	0.134 \| good
2025-10-21T00:00:00.000Z	33 \| good	5.25 \| good	22.582 \| good	35.514 \| good	1.361 \| good	5.517 \| good	0.146 \| good
2025-10-21T01:00:00.000Z	33 \| good	6.434 \| good	28.304 \| good	31.999 \| good	1.413 \| good	7.718 \| good	0.167 \| good
2025-10-21T02:00:00.000Z	49 \| good	8.566 \| good	37.825 \| good	25.998 \| good	1.464 \| good	9.919 \| good	0.189 \| good
2025-10-21T03:00:00.000Z	38 \| good	6.733 \| good	30.123 \| good	20.652 \| good	1.516 \| good	12.12 \| good	0.21 \| good
2025-10-21T04:00:00.000Z	38 \| good	6.88 \| good	30.55 \| good	18.914 \| good	1.503 \| good	11.176 \| good	0.205 \| good
2025-10-21T05:00:00.000Z	33 \| good	6.467 \| good	28.683 \| good	20.001 \| good	1.489 \| good	10.232 \| good	0.2 \| good
2025-10-21T06:00:00.000Z	22 \| good	4.31 \| good	18.711 \| good	20.629 \| good	1.476 \| good	9.288 \| good	0.195 \| good
2025-10-21T07:00:00.000Z	16 \| good	3.24 \| good	13.407 \| good	16.455 \| good	1.596 \| good	7.886 \| good	0.183 \| good
2025-10-21T08:00:00.000Z	16 \| good	2.727 \| good	11.45 \| good	12.291 \| good	1.717 \| good	6.483 \| good	0.172 \| good
2025-10-21T09:00:00.000Z	12 \| good	1.575 \| good	6.313 \| good	12.526 \| good	1.837 \| good	5.08 \| good	0.161 \| good
2025-10-21T10:00:00.000Z	16 \| good	3.479 \| good	15.463 \| good	10.541 \| good	1.841 \| good	5.549 \| good	0.167 \| good
2025-10-21T11:00:00.000Z	27 \| good	5.287 \| good	22.632 \| good	13.938 \| good	1.845 \| good	6.019 \| good	0.174 \| good
2025-10-21T12:00:00.000Z	22 \| good	3.973 \| good	17.132 \| good	18.484 \| good	1.849 \| good	6.489 \| good	0.18 \| good
2025-10-21T13:00:00.000Z	27 \| good	5.265 \| good	22.626 \| good	21.204 \| good	1.782 \| good	5.487 \| good	0.178 \| good
2025-10-21T14:00:00.000Z	27 \| good	5.406 \| good	23.365 \| good	22.164 \| good	1.715 \| good	4.485 \| good	0.176 \| good
2025-10-21T15:00:00.000Z	33 \| good	6.248 \| good	27.95 \| good	28.134 \| good	1.648 \| good	3.483 \| good	0.175 \| good
2025-10-21T16:00:00.000Z	34 \| good	4.051 \| good	17.725 \| good	37.269 \| good	1.537 \| good	2.769 \| good	0.167 \| good
2025-10-21T17:00:00.000Z	42 \| good	4.283 \| good	18.983 \| good	44.51 \| good	1.425 \| good	2.055 \| good	0.159 \| good
2025-10-21T18:00:00.000Z	42 \| good	4.734 \| good	20.937 \| good	44.712 \| good	1.314 \| good	1.341 \| good	0.151 \| good
2025-10-21T19:00:00.000Z	38 \| good	5.02 \| good	21.963 \| good	40.867 \| good	1.317 \| good	1.335 \| good	0.148 \| good
2025-10-21T20:00:00.000Z	36 \| good	4.837 \| good	21.078 \| good	38.743 \| good	1.321 \| good	1.329 \| good	0.145 \| good
2025-10-21T21:00:00.000Z	38 \| good	6.859 \| good	30.438 \| good	37.22 \| good	1.324 \| good	1.323 \| good	0.142 \| good
2025-10-21T22:00:00.000Z	33 \| good	5.564 \| good	24.287 \| good	34.29 \| good	1.349 \| good	4.191 \| good	0.168 \| good
2025-10-21T23:00:00.000Z	44 \| good	7.784 \| good	34.058 \| good	36.552 \| good	1.374 \| good	7.059 \| good	0.194 \| good
2025-10-22T00:00:00.000Z	38 \| good	7.345 \| good	32.286 \| good	35.9 \| good	1.399 \| good	9.926 \| good	0.219 \| good
2025-10-22T01:00:00.000Z	44 \| good	8.497 \| good	37.306 \| good	35.591 \| good	1.614 \| good	7.788 \| good	0.195 \| good
2025-10-22T02:00:00.000Z	38 \| good	7.277 \| good	32.175 \| good	32.956 \| good	1.828 \| good	5.65 \| good	0.172 \| good
2025-10-22T03:00:00.000Z	38 \| good	6.879 \| good	30.885 \| good	30.658 \| good	2.043 \| good	3.512 \| good	0.148 \| good
2025-10-22T04:00:00.000Z	33 \| good	5.85 \| good	25.754 \| good	29.469 \| good	2.151 \| good	3.222 \| good	0.141 \| good
2025-10-22T05:00:00.000Z	27 \| good	5.176 \| good	22.49 \| good	28.563 \| good	2.26 \| good	2.932 \| good	0.134 \| good
2025-10-22T06:00:00.000Z	25 \| good	3.345 \| good	14.719 \| good	26.544 \| good	2.368 \| good	2.642 \| good	0.127 \| good
2025-10-22T07:00:00.000Z	24 \| good	3.443 \| good	15.278 \| good	25.649 \| good	2.566 \| good	2.486 \| good	0.125 \| good
2025-10-22T08:00:00.000Z	26 \| good	3.961 \| good	17.307 \| good	27.569 \| good	2.764 \| good	2.329 \| good	0.123 \| good
2025-10-22T09:00:00.000Z	29 \| good	1.394 \| good	5.459 \| good	30.69 \| good	2.962 \| good	2.172 \| good	0.12 \| good
2025-10-22T10:00:00.000Z	27 \| good	2.298 \| good	9.359 \| good	28.855 \| good	2.924 \| good	2.617 \| good	0.124 \| good
2025-10-22T11:00:00.000Z	27 \| good	3.144 \| good	13.496 \| good	29.196 \| good	2.886 \| good	3.062 \| good	0.128 \| good
2025-10-22T12:00:00.000Z	26 \| good	3.215 \| good	14.104 \| good	28.494 \| good	2.848 \| good	3.507 \| good	0.132 \| good
2025-10-22T13:00:00.000Z	28 \| good	4.035 \| good	17.883 \| good	29.889 \| good	2.513 \| good	2.858 \| good	0.13 \| good
2025-10-22T14:00:00.000Z	28 \| good	3.292 \| good	14.287 \| good	29.736 \| good	2.177 \| good	2.208 \| good	0.127 \| good
2025-10-22T15:00:00.000Z	30 \| good	4.071 \| good	17.848 \| good	31.519 \| good	1.841 \| good	1.558 \| good	0.125 \| good
2025-10-22T16:00:00.000Z	33 \| good	2.799 \| good	11.338 \| good	36.257 \| good	1.555 \| good	1.377 \| good	0.122 \| good
2025-10-22T17:00:00.000Z	37 \| good	2.665 \| good	10.946 \| good	39.989 \| good	1.268 \| good	1.195 \| good	0.119 \| good
2025-10-22T18:00:00.000Z	38 \| good	4.709 \| good	20.662 \| good	41.265 \| good	0.982 \| good	1.014 \| good	0.116 \| good

Hagerstown, Maryland live air quality index now

Major air pollutants in Hagerstown, Maryland

Particulate Matter2.5 (PM2.5)

Particulate Matter10 (PM10)

Ozone (O3)

Sulfur Dioxide (SO2)

Nitrogen Dioxide (NO2)

Carbon Monoxide (CO)

Track live Hagerstown, Maryland air quality forecast and history

Get reliable air quality data to drive your business

Hagerstown, Maryland air quality map: Track AQI near you

Air quality in nearby cities

Halfway, Maryland

Waynesboro, Pennsylvania

Martinsburg, West Virginia

Guilford, Pennsylvania

Chambersburg, Pennsylvania

Greene Township, Pennsylvania

How accurate is Maryland, USA air quality data?

Air quality levels in US

Frequently asked questions

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

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

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

What is the current air quality in Hagerstown, Maryland?

What pollutant is the most common in Hagerstown, Maryland?

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

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

What is the current concentration of PM10 in Hagerstown, Maryland?

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

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

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

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

What is the current concentration of PM₁₀ in Hagerstown, Maryland?

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

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

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