28761 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 28761 Zip Code | North Carolina | U.S. |
Total Housing Units | 3,597, 100% | 4,385,668 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.18% | 1.95% |
2 Rooms | 34, 0.95%, see rank | 1.51% | 2.48% |
3 Rooms | 98, 2.72%, see rank | 6.93% | 9.13% |
4 Rooms | 790, 21.96%, see rank | 17.44% | 16.60% |
5 Rooms | 983, 27.33%, see rank | 23.63% | 20.41% |
6 Rooms | 971, 26.99%, see rank | 18.81% | 18.06% |
7 Rooms | 346, 9.62%, see rank | 12.36% | 12.27% |
8 Rooms | 170, 4.73%, see rank | 8.08% | 8.48% |
9 Rooms or More | 205, 5.70%, see rank | 10.08% | 10.60% |
Median Rooms | 5.40, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 28761 Zip Code | North Carolina | U.S. |
Total Housing Units | 3,304, 100% | 4,325,088 | 131,642,457 |
1 Room | 14, 0.42%, see rank | 1.06% | 1.95% |
2 Rooms | 26, 0.79%, see rank | 1.37% | 2.36% |
3 Rooms | 71, 2.15%, see rank | 6.83% | 8.97% |
4 Rooms | 718, 21.73%, see rank | 17.81% | 16.57% |
5 Rooms | 1,109, 33.57%, see rank | 23.85% | 20.41% |
6 Rooms | 813, 24.61%, see rank | 18.84% | 18.25% |
7 Rooms | 212, 6.42%, see rank | 12.34% | 12.38% |
8 Rooms | 120, 3.63%, see rank | 8.08% | 8.59% |
9 Rooms or More | 221, 6.69%, see rank | 9.80% | 10.52% |
Median Rooms | 5.20, see rank | 5.50 | 5.50 |
US Census 2000 data
| 28761 Zip Code | North Carolina | U.S. |
Total Housing Units | 2,824, 100% | 3,523,944 | 115,904,641 |
1 Room | 6, 0.21%, see rank | 0.76% | 2.20% |
2 Rooms | 31, 1.10%, see rank | 2.83% | 4.81% |
3 Rooms | 135, 4.78%, see rank | 6.94% | 9.84% |
4 Rooms | 515, 18.24%, see rank | 18.34% | 15.97% |
5 Rooms | 895, 31.69%, see rank | 25.93% | 20.89% |
6 Rooms | 763, 27.02%, see rank | 19.80% | 18.45% |
7 Rooms | 223, 7.90%, see rank | 11.57% | 12.06% |
8 Rooms | 147, 5.21%, see rank | 7.07% | 8.06% |
9 Rooms or More | 109, 3.86%, see rank | 6.75% | 7.70% |
Median Rooms | 5.30, 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.