Greenville Metro Area Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| Greenville Area | North Carolina | U.S. |
Total Housing Units | 75,844, 100% | 4,385,668 | 132,741,033 |
No Bedroom | 443, 0.58%, see rank | 1.26% | 2.17% |
1 Bedroom | 7,185, 9.47%, see rank | 6.61% | 11.16% |
2 Bedrooms | 21,829, 28.78%, see rank | 26.47% | 26.69% |
3 Bedrooms | 35,585, 46.92%, see rank | 47.54% | 39.70% |
4 Bedrooms | 9,219, 12.16%, see rank | 14.55% | 16.05% |
5 or More Bedrooms | 1,583, 2.09%, see rank | 3.57% | 4.22% |
ACS 2008-2012 data
| Greenville Area | North Carolina | U.S. |
Total Housing Units | 83,153, 100% | 4,325,088 | 131,642,457 |
No Bedroom | 629, 0.76%, see rank | 1.14% | 2.16% |
1 Bedroom | 7,845, 9.43%, see rank | 6.59% | 11.12% |
2 Bedrooms | 23,640, 28.43%, see rank | 26.98% | 26.85% |
3 Bedrooms | 39,444, 47.44%, see rank | 47.61% | 39.76% |
4 Bedrooms | 9,851, 11.85%, see rank | 14.29% | 15.95% |
5 or More Bedrooms | 1,744, 2.10%, see rank | 3.39% | 4.16% |
ACS 2006-2010 data
| Greenville Area | North Carolina | U.S. |
Total Housing Units | 81,054, 100% | 4,229,552 | 130,038,080 |
No Bedroom | 466, 0.57%, see rank | 0.81% | 1.84% |
1 Bedroom | 8,657, 10.68%, see rank | 6.83% | 11.32% |
2 Bedrooms | 23,274, 28.71%, see rank | 27.56% | 27.20% |
3 Bedrooms | 37,888, 46.74%, see rank | 47.71% | 39.80% |
4 Bedrooms | 9,110, 11.24%, see rank | 13.97% | 15.80% |
5 or More Bedrooms | 1,659, 2.05%, see rank | 3.12% | 4.04% |
ACS 2005-2009 data
| Greenville Area | North Carolina | U.S. |
Total Housing Units | 79,473, 100% | 4,120,599 | 127,699,712 |
No Bedroom | 522, 0.66%, see rank | 0.65% | 1.66% |
1 Bedroom | 8,796, 11.07%, see rank | 6.90% | 11.48% |
2 Bedrooms | 23,466, 29.53%, see rank | 28.06% | 27.48% |
3 Bedrooms | 36,081, 45.40%, see rank | 47.76% | 39.79% |
4 Bedrooms | 9,053, 11.39%, see rank | 13.62% | 15.64% |
5 or More Bedrooms | 1,555, 1.96%, see rank | 3.00% | 3.94% |
* 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.