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Peppermill Village, MD Historical Commuting to Work Data

 

ACS 2010-2014 data

 Peppermill Village, MDMarylandU.S.
Workers 16 Years and Over1,937, 100%2,913,869141,337,148
Car, Truck, or Van—Drove Alone1,155, 59.63%, see rank73.56%76.41%
Car, Truck, or Van—Carpooled306, 15.80%, see rank9.81%9.59%
Public Transportation444, 22.92%, see rank8.93%5.06%
Walked24, 1.24%, see rank2.34%2.78%
Other Means0, 0.00%, see rank1.18%1.79%
Worked at Home8, 0.41%, see rank4.19%4.37%

Mean Travel Time to Work, see rank
Peppermill Village, MD
36.4 minutes
Maryland
32.8 minutes
U.S.
25.7 minutes
Ranks: 9 min. or less, 10-19 min., 20-29 min., 30-39 min., 40-59 min., 60-89 min., 90min. or more

ACS 2008-2012 data

 Peppermill Village, MDMarylandU.S.
Workers 16 Years and Over2,096, 100%2,889,278139,893,639
Car, Truck, or Van—Drove Alone1,133, 54.06%, see rank73.18%76.14%
Car, Truck, or Van—Carpooled405, 19.32%, see rank10.41%10.03%
Public Transportation499, 23.81%, see rank8.83%4.98%
Walked37, 1.77%, see rank2.36%2.82%
Other Means0, 0.00%, see rank1.15%1.76%
Worked at Home22, 1.05%, see rank4.07%4.27%

Mean Travel Time to Work, see rank
Peppermill Village, MD
36.1 minutes
Maryland
32.4 minutes
U.S.
25.4 minutes
Ranks: 9 min. or less, 10-19 min., 20-29 min., 30-39 min., 40-59 min., 60-89 min., 90min. or more

ACS 2006-2010 data

 Peppermill Village, MDMarylandU.S.
Workers 16 Years and Over2,048, 100%2,855,936139,255,035
Car, Truck, or Van—Drove Alone1,166, 56.93%, see rank73.17%76.00%
Car, Truck, or Van—Carpooled312, 15.23%, see rank10.61%10.35%
Public Transportation512, 25.00%, see rank8.70%4.94%
Walked26, 1.27%, see rank2.50%2.85%
Other Means0, 0.00%, see rank1.16%1.72%
Worked at Home32, 1.56%, see rank3.87%4.14%

Mean Travel Time to Work, see rank
Peppermill Village, MD
36.8 minutes
Maryland
31.9 minutes
U.S.
25.3 minutes
Ranks: 9 min. or less, 10-19 min., 20-29 min., 30-39 min., 40-59 min., 60-89 min., 90min. or more

* ACS stands for U.S. Census American Community Survey. According to the U.S. Census, if the date is a range, you can interpret the data as an average of the period of time.


 
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