87801 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 87801 Zip Code | New Mexico | U.S. |
Total Housing Units | 4,303, 100% | 907,233 | 132,741,033 |
1 Room | 7, 0.16%, see rank | 2.62% | 1.95% |
2 Rooms | 78, 1.81%, see rank | 2.34% | 2.48% |
3 Rooms | 446, 10.36%, see rank | 7.65% | 9.13% |
4 Rooms | 1,142, 26.54%, see rank | 17.57% | 16.60% |
5 Rooms | 1,074, 24.96%, see rank | 24.59% | 20.41% |
6 Rooms | 881, 20.47%, see rank | 20.08% | 18.06% |
7 Rooms | 387, 8.99%, see rank | 12.20% | 12.27% |
8 Rooms | 167, 3.88%, see rank | 6.66% | 8.48% |
9 Rooms or More | 121, 2.81%, see rank | 6.29% | 10.60% |
Median Rooms | 4.90, see rank | 5.30 | 5.50 |
ACS 2008-2012 data
| 87801 Zip Code | New Mexico | U.S. |
Total Housing Units | 4,185, 100% | 900,504 | 131,642,457 |
1 Room | 44, 1.05%, see rank | 2.61% | 1.95% |
2 Rooms | 68, 1.62%, see rank | 2.29% | 2.36% |
3 Rooms | 434, 10.37%, see rank | 7.64% | 8.97% |
4 Rooms | 891, 21.29%, see rank | 17.54% | 16.57% |
5 Rooms | 914, 21.84%, see rank | 24.54% | 20.41% |
6 Rooms | 932, 22.27%, see rank | 19.97% | 18.25% |
7 Rooms | 447, 10.68%, see rank | 12.46% | 12.38% |
8 Rooms | 224, 5.35%, see rank | 6.76% | 8.59% |
9 Rooms or More | 231, 5.52%, see rank | 6.18% | 10.52% |
Median Rooms | 5.20, see rank | 5.30 | 5.50 |
US Census 2000 data
| 87801 Zip Code | New Mexico | U.S. |
Total Housing Units | 4,516, 100% | 780,579 | 115,904,641 |
1 Room | 123, 2.72%, see rank | 2.99% | 2.20% |
2 Rooms | 231, 5.12%, see rank | 5.60% | 4.81% |
3 Rooms | 520, 11.51%, see rank | 10.85% | 9.84% |
4 Rooms | 1,004, 22.23%, see rank | 17.76% | 15.97% |
5 Rooms | 1,161, 25.71%, see rank | 23.88% | 20.89% |
6 Rooms | 694, 15.37%, see rank | 18.41% | 18.45% |
7 Rooms | 385, 8.53%, see rank | 10.94% | 12.06% |
8 Rooms | 244, 5.40%, see rank | 5.60% | 8.06% |
9 Rooms or More | 154, 3.41%, see rank | 3.97% | 7.70% |
Median Rooms | 4.80, see rank | 5.00 | 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.