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29732 Zip Code Historical Commuting to Work Data

 

ACS 2010-2014 data

 29732 Zip CodeSouth CarolinaU.S.
Workers 16 Years and Over26,801, 100%2,022,019141,337,148
Car, Truck, or Van—Drove Alone22,960, 85.67%, see rank82.69%76.41%
Car, Truck, or Van—Carpooled2,744, 10.24%, see rank9.32%9.59%
Public Transportation35, 0.13%, see rank0.61%5.06%
Walked94, 0.35%, see rank2.10%2.78%
Other Means106, 0.40%, see rank1.66%1.79%
Worked at Home862, 3.22%, see rank3.61%4.37%

Mean Travel Time to Work, see rank
29732 Zip Code
24.3 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

 29732 Zip CodeSouth CarolinaU.S.
Workers 16 Years and Over27,207, 100%1,988,444139,893,639
Car, Truck, or Van—Drove Alone22,698, 83.43%, see rank82.19%76.14%
Car, Truck, or Van—Carpooled3,216, 11.82%, see rank9.91%10.03%
Public Transportation38, 0.14%, see rank0.60%4.98%
Walked102, 0.37%, see rank2.03%2.82%
Other Means168, 0.62%, see rank1.62%1.76%
Worked at Home985, 3.62%, see rank3.65%4.27%

Mean Travel Time to Work, see rank
29732 Zip Code
23.4 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

 29732 Zip CodeSouth CarolinaU.S.
Workers 16 Years and Over20,271, 100%1,822,969128,279,228
Car, Truck, or Van—Drove Alone17,289, 85.29%, see rank79.39%75.70%
Car, Truck, or Van—Carpooled2,106, 10.39%, see rank14.04%12.19%
Public Transportation33, 0.16%, see rank0.85%4.73%
Walked202, 1.00%, see rank2.34%2.93%
Other Means88, 0.43%, see rank1.29%1.19%
Worked at Home553, 2.73%, see rank2.10%3.26%

Mean Travel Time to Work, see rank
29732 Zip Code
24.1 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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