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Pittsburgh, PA Historical House Occupancy Status Data

 

ACS 2010-2014 data

 Pittsburgh, PAPennsylvaniaU.S.
Total Housing Units154,942, see rank, 100%5,578,393132,741,033
Occupied Housing Units132,379, 85.44%, see rank88.87%87.55%
Owner Occupied64,593, 41.69%, see rank61.78%56.34%
Renter Occupied67,786, 43.75%, see rank27.10%31.21%
Vacant Housing Units22,563, 14.56%, see rank11.13%12.45%
For Rent3,530, 2.28%, see rank1.77%2.34%
For Sale Only1,278, 0.82%, see rank1.08%1.20%
Rented or Sold, Not Occupied4,083, 2.64%, see rank0.87%0.92%
For Seasonal, Recreational, or Occasional Use964, 0.62%, see rank3.08%3.97%
For Migrant Workers25, 0.02%, see rank0.01%0.03%
Other Vacant12,683, 8.19%, see rank4.31%4.00%

US Census 2010 data

 Pittsburgh, PAPennsylvaniaU.S.
Total Housing Units156,165, see rank, 100%5,567,315131,704,730
Occupied Housing Units136,217, 87.23%, see rank90.15%88.62%
Owner Occupied64,807, 41.50%, see rank62.72%57.69%
Renter Occupied71,410, 45.73%, see rank27.43%30.93%
Vacant Housing Units19,948, 12.77%, see rank9.85%11.38%
For Rent6,512, 4.17%, see rank2.43%3.14%
For Sale Only1,915, 1.23%, see rank1.16%1.44%
Rented or Sold, Not Occupied1,558, 1.00%, see rank0.53%0.48%
For Seasonal, Recreational, or Occasional Use941, 0.60%, see rank2.90%3.53%
For Migrant Workers5, 0.00%, see rank0.01%0.02%
Other Vacant9,017, 5.77%, see rank2.82%2.77%

ACS 2008-2012 data

 Pittsburgh, PAPennsylvaniaU.S.
Total Housing Units157,228, see rank, 100%5,563,832131,642,457
Occupied Housing Units133,192, 84.71%, see rank89.14%87.53%
Owner Occupied65,291, 41.53%, see rank62.52%57.34%
Renter Occupied67,901, 43.19%, see rank26.62%30.19%
Vacant Housing Units24,036, 15.29%, see rank10.86%12.47%
For Rent4,488, 2.85%, see rank1.80%2.50%
For Sale Only1,835, 1.17%, see rank1.15%1.38%
Rented or Sold, Not Occupied4,107, 2.61%, see rank0.86%0.91%
For Seasonal, Recreational, or Occasional Use753, 0.48%, see rank3.03%3.81%
For Migrant Workers22, 0.01%, see rank0.01%0.03%
Other Vacant12,831, 8.16%, see rank4.01%3.84%

ACS 2006-2010 data

 Pittsburgh, PAPennsylvaniaU.S.
Total Housing Units160,743, see rank, 100%5,537,308130,038,080
Occupied Housing Units134,953, 83.96%, see rank89.22%87.85%
Owner Occupied69,292, 43.11%, see rank63.36%58.51%
Renter Occupied65,661, 40.85%, see rank25.86%29.33%
Vacant Housing Units25,790, 16.04%, see rank10.78%12.15%
For Rent6,424, 4.00%, see rank1.95%2.53%
For Sale Only2,506, 1.56%, see rank1.16%1.45%
Rented or Sold, Not Occupied3,104, 1.93%, see rank0.92%0.95%
For Seasonal, Recreational, or Occasional Use481, 0.30%, see rank2.94%3.60%
For Migrant Workers8, 0.00%, see rank0.01%0.03%
Other Vacant13,267, 8.25%, see rank3.80%3.59%

ACS 2005-2009 data

 Pittsburgh, PAPennsylvaniaU.S.
Total Housing Units165,294, see rank, 100%5,481,676127,699,712
Occupied Housing Units138,739, 83.93%, see rank89.26%88.18%
Owner Occupied72,286, 43.73%, see rank63.79%58.98%
Renter Occupied66,453, 40.20%, see rank25.47%29.20%
Vacant Housing Units26,555, 16.07%, see rank10.74%11.82%
For Rent7,294, 4.41%, see rank2.03%2.52%
For Sale Only2,775, 1.68%, see rank1.14%1.39%
Rented or Sold, Not Occupied2,902, 1.76%, see rank1.00%0.99%
For Seasonal, Recreational, or Occasional Use368, 0.22%, see rank2.92%3.45%
For Migrant Workers9, 0.01%, see rank0.01%0.03%
Other Vacant13,207, 7.99%, see rank3.64%3.44%

US Census 2000 data

 Pittsburgh, PAPennsylvaniaU.S.
Total Housing Units163,366, see rank, 100%5,249,750115,904,641
Occupied Housing Units143,739, 87.99%, see rank90.99%91.01%
Owner Occupied74,927, 45.86%, see rank64.89%60.24%
Renter Occupied68,812, 42.12%, see rank26.11%30.77%
Vacant Housing Units19,627, 12.01%, see rank9.01%8.99%
For Rent6,606, 4.04%, see rank2.01%2.26%
For Sale Only2,130, 1.30%, see rank1.06%1.04%
Rented or Sold, Not Occupied1,889, 1.16%, see rank0.71%0.61%
For Seasonal, Recreational, or Occasional Use878, 0.54%, see rank2.82%3.09%
For Migrant Workers7, 0.00%, see rank0.01%0.02%
Other Vacant8,117, 4.97%, see rank2.38%1.98%

* 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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