20004 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 20004 Zip Code | District of Columbia | U.S. |
Total Housing Units | 1,490, 100% | 300,798 | 132,741,033 |
1 Room | 48, 3.22%, see rank | 6.64% | 1.95% |
2 Rooms | 301, 20.20%, see rank | 7.02% | 2.48% |
3 Rooms | 649, 43.56%, see rank | 21.95% | 9.13% |
4 Rooms | 354, 23.76%, see rank | 19.23% | 16.60% |
5 Rooms | 82, 5.50%, see rank | 12.34% | 20.41% |
6 Rooms | 10, 0.67%, see rank | 10.41% | 18.06% |
7 Rooms | 20, 1.34%, see rank | 7.22% | 12.27% |
8 Rooms | 26, 1.74%, see rank | 5.96% | 8.48% |
9 Rooms or More | 0, 0.00%, see rank | 9.22% | 10.60% |
Median Rooms | 3.10, see rank | 4.20 | 5.50 |
ACS 2008-2012 data
| 20004 Zip Code | District of Columbia | U.S. |
Total Housing Units | 1,477, 100% | 296,671 | 131,642,457 |
1 Room | 123, 8.33%, see rank | 7.09% | 1.95% |
2 Rooms | 285, 19.30%, see rank | 6.51% | 2.36% |
3 Rooms | 660, 44.69%, see rank | 22.02% | 8.97% |
4 Rooms | 271, 18.35%, see rank | 19.42% | 16.57% |
5 Rooms | 76, 5.15%, see rank | 12.06% | 20.41% |
6 Rooms | 14, 0.95%, see rank | 10.38% | 18.25% |
7 Rooms | 9, 0.61%, see rank | 7.34% | 12.38% |
8 Rooms | 39, 2.64%, see rank | 6.00% | 8.59% |
9 Rooms or More | 0, 0.00%, see rank | 9.19% | 10.52% |
Median Rooms | 3.00, see rank | 4.20 | 5.50 |
US Census 2000 data
| 20004 Zip Code | District of Columbia | U.S. |
Total Housing Units | 783, 100% | 274,845 | 115,904,641 |
1 Room | 31, 3.96%, see rank | 10.23% | 2.20% |
2 Rooms | 201, 25.67%, see rank | 11.94% | 4.81% |
3 Rooms | 251, 32.06%, see rank | 19.42% | 9.84% |
4 Rooms | 224, 28.61%, see rank | 15.34% | 15.97% |
5 Rooms | 47, 6.00%, see rank | 11.54% | 20.89% |
6 Rooms | 24, 3.07%, see rank | 11.15% | 18.45% |
7 Rooms | 5, 0.64%, see rank | 7.42% | 12.06% |
8 Rooms | 0, 0.00%, see rank | 5.92% | 8.06% |
9 Rooms or More | 0, 0.00%, see rank | 7.05% | 7.70% |
Median Rooms | 3.10, see rank | 4.00 | 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.