27006 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 27006 Zip Code | North Carolina | U.S. |
Total Housing Units | 6,465, 100% | 4,385,668 | 132,741,033 |
1 Room | 88, 1.36%, see rank | 1.18% | 1.95% |
2 Rooms | 9, 0.14%, see rank | 1.51% | 2.48% |
3 Rooms | 154, 2.38%, see rank | 6.93% | 9.13% |
4 Rooms | 662, 10.24%, see rank | 17.44% | 16.60% |
5 Rooms | 1,217, 18.82%, see rank | 23.63% | 20.41% |
6 Rooms | 1,037, 16.04%, see rank | 18.81% | 18.06% |
7 Rooms | 1,082, 16.74%, see rank | 12.36% | 12.27% |
8 Rooms | 849, 13.13%, see rank | 8.08% | 8.48% |
9 Rooms or More | 1,367, 21.14%, see rank | 10.08% | 10.60% |
Median Rooms | 6.60, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 27006 Zip Code | North Carolina | U.S. |
Total Housing Units | 6,277, 100% | 4,325,088 | 131,642,457 |
1 Room | 63, 1.00%, see rank | 1.06% | 1.95% |
2 Rooms | 26, 0.41%, see rank | 1.37% | 2.36% |
3 Rooms | 45, 0.72%, see rank | 6.83% | 8.97% |
4 Rooms | 627, 9.99%, see rank | 17.81% | 16.57% |
5 Rooms | 1,300, 20.71%, see rank | 23.85% | 20.41% |
6 Rooms | 983, 15.66%, see rank | 18.84% | 18.25% |
7 Rooms | 1,048, 16.70%, see rank | 12.34% | 12.38% |
8 Rooms | 824, 13.13%, see rank | 8.08% | 8.59% |
9 Rooms or More | 1,361, 21.68%, see rank | 9.80% | 10.52% |
Median Rooms | 6.60, see rank | 5.50 | 5.50 |
US Census 2000 data
| 27006 Zip Code | North Carolina | U.S. |
Total Housing Units | 4,585, 100% | 3,523,944 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 0.76% | 2.20% |
2 Rooms | 18, 0.39%, see rank | 2.83% | 4.81% |
3 Rooms | 87, 1.90%, see rank | 6.94% | 9.84% |
4 Rooms | 685, 14.94%, see rank | 18.34% | 15.97% |
5 Rooms | 1,068, 23.29%, see rank | 25.93% | 20.89% |
6 Rooms | 963, 21.00%, see rank | 19.80% | 18.45% |
7 Rooms | 616, 13.44%, see rank | 11.57% | 12.06% |
8 Rooms | 423, 9.23%, see rank | 7.07% | 8.06% |
9 Rooms or More | 725, 15.81%, see rank | 6.75% | 7.70% |
Median Rooms | 6.00, 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.