27053 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 27053 Zip Code | North Carolina | U.S. |
Total Housing Units | 1,414, 100% | 4,385,668 | 132,741,033 |
1 Room | 28, 1.98%, see rank | 1.18% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.51% | 2.48% |
3 Rooms | 55, 3.89%, see rank | 6.93% | 9.13% |
4 Rooms | 196, 13.86%, see rank | 17.44% | 16.60% |
5 Rooms | 336, 23.76%, see rank | 23.63% | 20.41% |
6 Rooms | 298, 21.07%, see rank | 18.81% | 18.06% |
7 Rooms | 187, 13.22%, see rank | 12.36% | 12.27% |
8 Rooms | 117, 8.27%, see rank | 8.08% | 8.48% |
9 Rooms or More | 197, 13.93%, see rank | 10.08% | 10.60% |
Median Rooms | 5.80, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 27053 Zip Code | North Carolina | U.S. |
Total Housing Units | 1,433, 100% | 4,325,088 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.06% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.37% | 2.36% |
3 Rooms | 66, 4.61%, see rank | 6.83% | 8.97% |
4 Rooms | 274, 19.12%, see rank | 17.81% | 16.57% |
5 Rooms | 501, 34.96%, see rank | 23.85% | 20.41% |
6 Rooms | 192, 13.40%, see rank | 18.84% | 18.25% |
7 Rooms | 131, 9.14%, see rank | 12.34% | 12.38% |
8 Rooms | 120, 8.37%, see rank | 8.08% | 8.59% |
9 Rooms or More | 149, 10.40%, see rank | 9.80% | 10.52% |
Median Rooms | 5.30, see rank | 5.50 | 5.50 |
US Census 2000 data
| 27053 Zip Code | North Carolina | U.S. |
Total Housing Units | 1,410, 100% | 3,523,944 | 115,904,641 |
1 Room | 27, 1.91%, see rank | 0.76% | 2.20% |
2 Rooms | 14, 0.99%, see rank | 2.83% | 4.81% |
3 Rooms | 96, 6.81%, see rank | 6.94% | 9.84% |
4 Rooms | 281, 19.93%, see rank | 18.34% | 15.97% |
5 Rooms | 462, 32.77%, see rank | 25.93% | 20.89% |
6 Rooms | 276, 19.57%, see rank | 19.80% | 18.45% |
7 Rooms | 140, 9.93%, see rank | 11.57% | 12.06% |
8 Rooms | 64, 4.54%, see rank | 7.07% | 8.06% |
9 Rooms or More | 50, 3.55%, see rank | 6.75% | 7.70% |
Median Rooms | 5.10, see rank | 5.30 | 5.30 |
* 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.