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29915 Zip Code Historical House Occupancy Status Data

 

ACS 2010-2014 data

 29915 Zip CodeSouth CarolinaU.S.
Total Housing Units572, see rank, 100%2,160,383132,741,033
Occupied Housing Units219, 38.29%, see rank83.12%87.55%
Owner Occupied160, 27.97%, see rank57.03%56.34%
Renter Occupied59, 10.31%, see rank26.09%31.21%
Vacant Housing Units353, 61.71%, see rank16.88%12.45%
For Rent47, 8.22%, see rank3.50%2.34%
For Sale Only29, 5.07%, see rank1.45%1.20%
Rented or Sold, Not Occupied0, 0.00%, see rank0.86%0.92%
For Seasonal, Recreational, or Occasional Use277, 48.43%, see rank5.85%3.97%
For Migrant Workers0, 0.00%, see rank0.03%0.03%
Other Vacant0, 0.00%, see rank5.20%4.00%

US Census 2010 data

 29915 Zip CodeSouth CarolinaU.S.
Total Housing Units602, see rank, 100%2,137,683131,704,730
Occupied Housing Units204, 33.89%, see rank84.26%88.62%
Owner Occupied183, 30.40%, see rank58.42%57.69%
Renter Occupied21, 3.49%, see rank25.84%30.93%
Vacant Housing Units398, 66.11%, see rank15.74%11.38%
For Rent48, 7.97%, see rank4.34%3.14%
For Sale Only13, 2.16%, see rank1.71%1.44%
Rented or Sold, Not Occupied4, 0.66%, see rank0.58%0.48%
For Seasonal, Recreational, or Occasional Use305, 50.66%, see rank5.26%3.53%
For Migrant Workers17, 2.82%, see rank0.02%0.02%
Other Vacant11, 1.83%, see rank3.83%2.77%

ACS 2008-2012 data

 29915 Zip CodeSouth CarolinaU.S.
Total Housing Units494, see rank, 100%2,134,456131,642,457
Occupied Housing Units203, 41.09%, see rank82.84%87.53%
Owner Occupied149, 30.16%, see rank57.54%57.34%
Renter Occupied54, 10.93%, see rank25.30%30.19%
Vacant Housing Units291, 58.91%, see rank17.16%12.47%
For Rent36, 7.29%, see rank3.73%2.50%
For Sale Only17, 3.44%, see rank1.65%1.38%
Rented or Sold, Not Occupied0, 0.00%, see rank0.93%0.91%
For Seasonal, Recreational, or Occasional Use238, 48.18%, see rank5.77%3.81%
For Migrant Workers0, 0.00%, see rank0.03%0.03%
Other Vacant0, 0.00%, see rank5.05%3.84%

* 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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