Berlin Micro Area Historical House Amount of Units in Structure Data
ACS 2010-2014 data
| Berlin Area | % | U.S. |
Total Housing Units | 26,308 | 100% | 132,741,033 |
1-unit, Detached | 18,458 | 70.16%, see rank | 61.65% |
1-unit, Attached | 335 | 1.27%, see rank | 5.82% |
2 Units | 1,720 | 6.54%, see rank | 3.75% |
3 or 4 Units | 1,469 | 5.58%, see rank | 4.43% |
5 to 9 Units | 804 | 3.06%, see rank | 4.78% |
10 or More Units | 704 | 2.68%, see rank | 13.08% |
Mobile Home, Boat, RV, Van, etc. | 2,818 | 10.71%, see rank | 6.49% |
ACS 2008-2012 data
| Berlin Area | % | U.S. |
Total Housing Units | 26,260 | 100% | 131,642,457 |
1-unit, Detached | 18,455 | 70.28%, see rank | 61.70% |
1-unit, Attached | 310 | 1.18%, see rank | 5.79% |
2 Units | 1,727 | 6.58%, see rank | 3.80% |
3 or 4 Units | 1,504 | 5.73%, see rank | 4.44% |
5 to 9 Units | 911 | 3.47%, see rank | 4.78% |
10 or More Units | 725 | 2.76%, see rank | 12.89% |
Mobile Home, Boat, RV, Van, etc. | 2,628 | 10.01%, see rank | 6.60% |
ACS 2006-2010 data
| Berlin Area | % | U.S. |
Total Housing Units | 26,064 | 100% | 130,038,080 |
1-unit, Detached | 18,289 | 70.17%, see rank | 61.62% |
1-unit, Attached | 245 | 0.94%, see rank | 5.74% |
2 Units | 1,829 | 7.02%, see rank | 3.88% |
3 or 4 Units | 1,717 | 6.59%, see rank | 4.47% |
5 to 9 Units | 920 | 3.53%, see rank | 4.84% |
10 or More Units | 570 | 2.19%, see rank | 12.68% |
Mobile Home, Boat, RV, Van, etc. | 2,494 | 9.57%, see rank | 6.76% |
ACS 2005-2009 data
| Berlin Area | % | U.S. |
Total Housing Units | 25,022 | 100% | 127,699,712 |
1-unit, Detached | 17,459 | 69.77%, see rank | 61.57% |
1-unit, Attached | 244 | 0.98%, see rank | 5.70% |
2 Units | 1,920 | 7.67%, see rank | 3.94% |
3 or 4 Units | 1,486 | 5.94%, see rank | 4.51% |
5 to 9 Units | 897 | 3.58%, see rank | 4.87% |
10 or More Units | 626 | 2.50%, see rank | 12.58% |
Mobile Home, Boat, RV, Van, etc. | 2,390 | 9.55%, see rank | 6.85% |
* 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.