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29406 Zip Code Historical Commuting to Work Data

 

ACS 2010-2014 data

 29406 Zip CodeSouth CarolinaU.S.
Workers 16 Years and Over14,167, 100%2,022,019141,337,148
Car, Truck, or Van—Drove Alone10,366, 73.17%, see rank82.69%76.41%
Car, Truck, or Van—Carpooled2,246, 15.85%, see rank9.32%9.59%
Public Transportation537, 3.79%, see rank0.61%5.06%
Walked491, 3.47%, see rank2.10%2.78%
Other Means346, 2.44%, see rank1.66%1.79%
Worked at Home181, 1.28%, see rank3.61%4.37%

Mean Travel Time to Work, see rank
29406 Zip Code
21.7 minutes
South Carolina
23.5 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

 29406 Zip CodeSouth CarolinaU.S.
Workers 16 Years and Over13,548, 100%1,988,444139,893,639
Car, Truck, or Van—Drove Alone9,762, 72.05%, see rank82.19%76.14%
Car, Truck, or Van—Carpooled2,585, 19.08%, see rank9.91%10.03%
Public Transportation301, 2.22%, see rank0.60%4.98%
Walked479, 3.54%, see rank2.03%2.82%
Other Means302, 2.23%, see rank1.62%1.76%
Worked at Home119, 0.88%, see rank3.65%4.27%

Mean Travel Time to Work, see rank
29406 Zip Code
21.6 minutes
South Carolina
23.2 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

US Census 2000 data

 29406 Zip CodeSouth CarolinaU.S.
Workers 16 Years and Over17,067, 100%1,822,969128,279,228
Car, Truck, or Van—Drove Alone12,736, 74.62%, see rank79.39%75.70%
Car, Truck, or Van—Carpooled2,838, 16.63%, see rank14.04%12.19%
Public Transportation454, 2.66%, see rank0.85%4.73%
Walked437, 2.56%, see rank2.34%2.93%
Other Means452, 2.65%, see rank1.29%1.19%
Worked at Home150, 0.88%, see rank2.10%3.26%

Mean Travel Time to Work, see rank
29406 Zip Code
21.2 minutes
South Carolina
23.5 minutes
U.S.
25.1 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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