28456 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 28456 Zip Code | North Carolina | U.S. |
Total Housing Units | 1,610, 100% | 4,385,668 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.18% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.51% | 2.48% |
3 Rooms | 8, 0.50%, see rank | 6.93% | 9.13% |
4 Rooms | 76, 4.72%, see rank | 17.44% | 16.60% |
5 Rooms | 257, 15.96%, see rank | 23.63% | 20.41% |
6 Rooms | 466, 28.94%, see rank | 18.81% | 18.06% |
7 Rooms | 462, 28.70%, see rank | 12.36% | 12.27% |
8 Rooms | 103, 6.40%, see rank | 8.08% | 8.48% |
9 Rooms or More | 238, 14.78%, see rank | 10.08% | 10.60% |
Median Rooms | 6.50, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 28456 Zip Code | North Carolina | U.S. |
Total Housing Units | 1,555, 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 | 14, 0.90%, see rank | 6.83% | 8.97% |
4 Rooms | 57, 3.67%, see rank | 17.81% | 16.57% |
5 Rooms | 271, 17.43%, see rank | 23.85% | 20.41% |
6 Rooms | 408, 26.24%, see rank | 18.84% | 18.25% |
7 Rooms | 418, 26.88%, see rank | 12.34% | 12.38% |
8 Rooms | 161, 10.35%, see rank | 8.08% | 8.59% |
9 Rooms or More | 226, 14.53%, see rank | 9.80% | 10.52% |
Median Rooms | 6.60, see rank | 5.50 | 5.50 |
US Census 2000 data
| 28456 Zip Code | North Carolina | U.S. |
Total Housing Units | 1,455, 100% | 3,523,944 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 0.76% | 2.20% |
2 Rooms | 40, 2.75%, see rank | 2.83% | 4.81% |
3 Rooms | 56, 3.85%, see rank | 6.94% | 9.84% |
4 Rooms | 130, 8.93%, see rank | 18.34% | 15.97% |
5 Rooms | 367, 25.22%, see rank | 25.93% | 20.89% |
6 Rooms | 362, 24.88%, see rank | 19.80% | 18.45% |
7 Rooms | 274, 18.83%, see rank | 11.57% | 12.06% |
8 Rooms | 147, 10.10%, see rank | 7.07% | 8.06% |
9 Rooms or More | 79, 5.43%, see rank | 6.75% | 7.70% |
Median Rooms | 5.90, 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.