90704 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 90704 Zip Code | California | U.S. |
Total Housing Units | 2,320, 100% | 13,781,929 | 132,741,033 |
1 Room | 177, 7.63%, see rank | 3.13% | 1.95% |
2 Rooms | 171, 7.37%, see rank | 3.93% | 2.48% |
3 Rooms | 821, 35.39%, see rank | 12.05% | 9.13% |
4 Rooms | 581, 25.04%, see rank | 19.24% | 16.60% |
5 Rooms | 345, 14.87%, see rank | 20.56% | 20.41% |
6 Rooms | 105, 4.53%, see rank | 16.99% | 18.06% |
7 Rooms | 47, 2.03%, see rank | 11.06% | 12.27% |
8 Rooms | 44, 1.90%, see rank | 6.58% | 8.48% |
9 Rooms or More | 29, 1.25%, see rank | 6.46% | 10.60% |
Median Rooms | 3.50, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 90704 Zip Code | California | U.S. |
Total Housing Units | 2,201, 100% | 13,667,226 | 131,642,457 |
1 Room | 234, 10.63%, see rank | 3.17% | 1.95% |
2 Rooms | 84, 3.82%, see rank | 3.78% | 2.36% |
3 Rooms | 621, 28.21%, see rank | 11.88% | 8.97% |
4 Rooms | 431, 19.58%, see rank | 19.04% | 16.57% |
5 Rooms | 533, 24.22%, see rank | 20.50% | 20.41% |
6 Rooms | 122, 5.54%, see rank | 17.21% | 18.25% |
7 Rooms | 90, 4.09%, see rank | 11.27% | 12.38% |
8 Rooms | 50, 2.27%, see rank | 6.78% | 8.59% |
9 Rooms or More | 36, 1.64%, see rank | 6.38% | 10.52% |
Median Rooms | 3.90, see rank | 5.10 | 5.50 |
US Census 2000 data
| 90704 Zip Code | California | U.S. |
Total Housing Units | 1,977, 100% | 12,214,549 | 115,904,641 |
1 Room | 173, 8.75%, see rank | 5.01% | 2.20% |
2 Rooms | 194, 9.81%, see rank | 9.38% | 4.81% |
3 Rooms | 349, 17.65%, see rank | 13.85% | 9.84% |
4 Rooms | 582, 29.44%, see rank | 15.75% | 15.97% |
5 Rooms | 388, 19.63%, see rank | 18.95% | 20.89% |
6 Rooms | 165, 8.35%, see rank | 16.50% | 18.45% |
7 Rooms | 84, 4.25%, see rank | 10.33% | 12.06% |
8 Rooms | 27, 1.37%, see rank | 5.93% | 8.06% |
9 Rooms or More | 15, 0.76%, see rank | 4.31% | 7.70% |
Median Rooms | 4.00, see rank | 4.80 | 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.