28458 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 28458 Zip Code | North Carolina | U.S. |
Total Housing Units | 2,758, 100% | 4,385,668 | 132,741,033 |
1 Room | 8, 0.29%, see rank | 1.18% | 1.95% |
2 Rooms | 15, 0.54%, see rank | 1.51% | 2.48% |
3 Rooms | 126, 4.57%, see rank | 6.93% | 9.13% |
4 Rooms | 580, 21.03%, see rank | 17.44% | 16.60% |
5 Rooms | 937, 33.97%, see rank | 23.63% | 20.41% |
6 Rooms | 555, 20.12%, see rank | 18.81% | 18.06% |
7 Rooms | 221, 8.01%, see rank | 12.36% | 12.27% |
8 Rooms | 183, 6.64%, see rank | 8.08% | 8.48% |
9 Rooms or More | 133, 4.82%, see rank | 10.08% | 10.60% |
Median Rooms | 5.20, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 28458 Zip Code | North Carolina | U.S. |
Total Housing Units | 2,694, 100% | 4,325,088 | 131,642,457 |
1 Room | 24, 0.89%, see rank | 1.06% | 1.95% |
2 Rooms | 4, 0.15%, see rank | 1.37% | 2.36% |
3 Rooms | 66, 2.45%, see rank | 6.83% | 8.97% |
4 Rooms | 647, 24.02%, see rank | 17.81% | 16.57% |
5 Rooms | 967, 35.89%, see rank | 23.85% | 20.41% |
6 Rooms | 401, 14.88%, see rank | 18.84% | 18.25% |
7 Rooms | 242, 8.98%, see rank | 12.34% | 12.38% |
8 Rooms | 152, 5.64%, see rank | 8.08% | 8.59% |
9 Rooms or More | 191, 7.09%, see rank | 9.80% | 10.52% |
Median Rooms | 5.10, see rank | 5.50 | 5.50 |
US Census 2000 data
| 28458 Zip Code | North Carolina | U.S. |
Total Housing Units | 2,450, 100% | 3,523,944 | 115,904,641 |
1 Room | 12, 0.49%, see rank | 0.76% | 2.20% |
2 Rooms | 40, 1.63%, see rank | 2.83% | 4.81% |
3 Rooms | 165, 6.73%, see rank | 6.94% | 9.84% |
4 Rooms | 377, 15.39%, see rank | 18.34% | 15.97% |
5 Rooms | 668, 27.27%, see rank | 25.93% | 20.89% |
6 Rooms | 539, 22.00%, see rank | 19.80% | 18.45% |
7 Rooms | 353, 14.41%, see rank | 11.57% | 12.06% |
8 Rooms | 136, 5.55%, see rank | 7.07% | 8.06% |
9 Rooms or More | 160, 6.53%, see rank | 6.75% | 7.70% |
Median Rooms | 5.40, 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.