28445 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 28445 Zip Code | North Carolina | U.S. |
Total Housing Units | 6,695, 100% | 4,385,668 | 132,741,033 |
1 Room | 132, 1.97%, see rank | 1.18% | 1.95% |
2 Rooms | 83, 1.24%, see rank | 1.51% | 2.48% |
3 Rooms | 631, 9.42%, see rank | 6.93% | 9.13% |
4 Rooms | 1,625, 24.27%, see rank | 17.44% | 16.60% |
5 Rooms | 1,700, 25.39%, see rank | 23.63% | 20.41% |
6 Rooms | 1,410, 21.06%, see rank | 18.81% | 18.06% |
7 Rooms | 484, 7.23%, see rank | 12.36% | 12.27% |
8 Rooms | 274, 4.09%, see rank | 8.08% | 8.48% |
9 Rooms or More | 356, 5.32%, see rank | 10.08% | 10.60% |
Median Rooms | 5.00, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 28445 Zip Code | North Carolina | U.S. |
Total Housing Units | 6,332, 100% | 4,325,088 | 131,642,457 |
1 Room | 162, 2.56%, see rank | 1.06% | 1.95% |
2 Rooms | 54, 0.85%, see rank | 1.37% | 2.36% |
3 Rooms | 587, 9.27%, see rank | 6.83% | 8.97% |
4 Rooms | 1,538, 24.29%, see rank | 17.81% | 16.57% |
5 Rooms | 1,664, 26.28%, see rank | 23.85% | 20.41% |
6 Rooms | 1,300, 20.53%, see rank | 18.84% | 18.25% |
7 Rooms | 523, 8.26%, see rank | 12.34% | 12.38% |
8 Rooms | 208, 3.28%, see rank | 8.08% | 8.59% |
9 Rooms or More | 296, 4.67%, see rank | 9.80% | 10.52% |
Median Rooms | 5.00, see rank | 5.50 | 5.50 |
US Census 2000 data
| 28445 Zip Code | North Carolina | U.S. |
Total Housing Units | 5,070, 100% | 3,523,944 | 115,904,641 |
1 Room | 11, 0.22%, see rank | 0.76% | 2.20% |
2 Rooms | 175, 3.45%, see rank | 2.83% | 4.81% |
3 Rooms | 455, 8.97%, see rank | 6.94% | 9.84% |
4 Rooms | 1,141, 22.50%, see rank | 18.34% | 15.97% |
5 Rooms | 1,520, 29.98%, see rank | 25.93% | 20.89% |
6 Rooms | 864, 17.04%, see rank | 19.80% | 18.45% |
7 Rooms | 447, 8.82%, see rank | 11.57% | 12.06% |
8 Rooms | 305, 6.02%, see rank | 7.07% | 8.06% |
9 Rooms or More | 152, 3.00%, see rank | 6.75% | 7.70% |
Median Rooms | 5.00, 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.