68108 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 68108 Zip Code | Nebraska | U.S. |
Total Housing Units | 5,900, 100% | 805,256 | 132,741,033 |
1 Room | 351, 5.95%, see rank | 1.32% | 1.95% |
2 Rooms | 331, 5.61%, see rank | 2.62% | 2.48% |
3 Rooms | 505, 8.56%, see rank | 8.07% | 9.13% |
4 Rooms | 885, 15.00%, see rank | 14.08% | 16.60% |
5 Rooms | 1,592, 26.98%, see rank | 16.93% | 20.41% |
6 Rooms | 930, 15.76%, see rank | 16.26% | 18.06% |
7 Rooms | 538, 9.12%, see rank | 13.12% | 12.27% |
8 Rooms | 341, 5.78%, see rank | 10.95% | 8.48% |
9 Rooms or More | 427, 7.24%, see rank | 16.66% | 10.60% |
Median Rooms | 5.10, see rank | 5.90 | 5.50 |
ACS 2008-2012 data
| 68108 Zip Code | Nebraska | U.S. |
Total Housing Units | 5,768, 100% | 797,210 | 131,642,457 |
1 Room | 257, 4.46%, see rank | 1.14% | 1.95% |
2 Rooms | 212, 3.68%, see rank | 2.41% | 2.36% |
3 Rooms | 469, 8.13%, see rank | 8.10% | 8.97% |
4 Rooms | 1,178, 20.42%, see rank | 14.47% | 16.57% |
5 Rooms | 1,276, 22.12%, see rank | 16.93% | 20.41% |
6 Rooms | 1,028, 17.82%, see rank | 16.19% | 18.25% |
7 Rooms | 592, 10.26%, see rank | 13.47% | 12.38% |
8 Rooms | 346, 6.00%, see rank | 11.18% | 8.59% |
9 Rooms or More | 410, 7.11%, see rank | 16.12% | 10.52% |
Median Rooms | 5.10, see rank | 5.90 | 5.50 |
US Census 2000 data
| 68108 Zip Code | Nebraska | U.S. |
Total Housing Units | 5,609, 100% | 722,668 | 115,904,641 |
1 Room | 133, 2.37%, see rank | 1.29% | 2.20% |
2 Rooms | 243, 4.33%, see rank | 3.56% | 4.81% |
3 Rooms | 846, 15.08%, see rank | 8.43% | 9.84% |
4 Rooms | 974, 17.36%, see rank | 14.65% | 15.97% |
5 Rooms | 1,327, 23.66%, see rank | 18.72% | 20.89% |
6 Rooms | 879, 15.67%, see rank | 16.38% | 18.45% |
7 Rooms | 619, 11.04%, see rank | 13.65% | 12.06% |
8 Rooms | 361, 6.44%, see rank | 11.01% | 8.06% |
9 Rooms or More | 227, 4.05%, see rank | 12.31% | 7.70% |
Median Rooms | 5.00, see rank | 5.70 | 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.