Greenville Micro Area Historical House Occupancy Status Data
ACS 2010-2014 data
| | Greenville Area | Ohio | U.S. |
| Total Housing Units | 22,694, see rank, 100% | 5,135,173 | 132,741,033 |
| Occupied Housing Units | 20,929, 92.22%, see rank | 88.99% | 87.55% |
| Owner Occupied | 15,064, 66.38%, see rank | 59.52% | 56.34% |
| Renter Occupied | 5,865, 25.84%, see rank | 29.48% | 31.21% |
| Vacant Housing Units | 1,765, 7.78%, see rank | 11.01% | 12.45% |
| For Rent | 427, 1.88%, see rank | 2.34% | 2.34% |
| For Sale Only | 159, 0.70%, see rank | 1.24% | 1.20% |
| Rented or Sold, Not Occupied | 47, 0.21%, see rank | 0.88% | 0.92% |
| For Seasonal, Recreational, or Occasional Use | 233, 1.03%, see rank | 1.09% | 3.97% |
| For Migrant Workers | 0, 0.00%, see rank | 0.01% | 0.03% |
| Other Vacant | 899, 3.96%, see rank | 5.44% | 4.00% |
US Census 2010 data
| | Greenville Area | Ohio | U.S. |
| Total Housing Units | 22,730, see rank, 100% | 5,127,508 | 131,704,730 |
| Occupied Housing Units | 20,929, 92.08%, see rank | 89.78% | 88.62% |
| Owner Occupied | 15,643, 68.82%, see rank | 60.67% | 57.69% |
| Renter Occupied | 5,286, 23.26%, see rank | 29.11% | 30.93% |
| Vacant Housing Units | 1,801, 7.92%, see rank | 10.22% | 11.38% |
| For Rent | 453, 1.99%, see rank | 3.59% | 3.14% |
| For Sale Only | 323, 1.42%, see rank | 1.52% | 1.44% |
| Rented or Sold, Not Occupied | 137, 0.60%, see rank | 0.53% | 0.48% |
| For Seasonal, Recreational, or Occasional Use | 139, 0.61%, see rank | 1.14% | 3.53% |
| For Migrant Workers | 4, 0.02%, see rank | 0.01% | 0.02% |
| Other Vacant | 745, 3.28%, see rank | 3.42% | 2.77% |
ACS 2008-2012 data
| | Greenville Area | Ohio | U.S. |
| Total Housing Units | 22,688, see rank, 100% | 5,124,503 | 131,642,457 |
| Occupied Housing Units | 20,856, 91.93%, see rank | 88.90% | 87.53% |
| Owner Occupied | 15,792, 69.61%, see rank | 60.46% | 57.34% |
| Renter Occupied | 5,064, 22.32%, see rank | 28.44% | 30.19% |
| Vacant Housing Units | 1,832, 8.07%, see rank | 11.10% | 12.47% |
| For Rent | 301, 1.33%, see rank | 2.67% | 2.50% |
| For Sale Only | 361, 1.59%, see rank | 1.45% | 1.38% |
| Rented or Sold, Not Occupied | 110, 0.48%, see rank | 0.83% | 0.91% |
| For Seasonal, Recreational, or Occasional Use | 189, 0.83%, see rank | 1.07% | 3.81% |
| For Migrant Workers | 0, 0.00%, see rank | 0.01% | 0.03% |
| Other Vacant | 871, 3.84%, see rank | 5.05% | 3.84% |
ACS 2006-2010 data
| | Greenville Area | Ohio | U.S. |
| Total Housing Units | 22,654, see rank, 100% | 5,107,273 | 130,038,080 |
| Occupied Housing Units | 20,769, 91.68%, see rank | 89.13% | 87.85% |
| Owner Occupied | 16,162, 71.34%, see rank | 61.66% | 58.51% |
| Renter Occupied | 4,607, 20.34%, see rank | 27.47% | 29.33% |
| Vacant Housing Units | 1,885, 8.32%, see rank | 10.87% | 12.15% |
| For Rent | 269, 1.19%, see rank | 2.93% | 2.53% |
| For Sale Only | 473, 2.09%, see rank | 1.64% | 1.45% |
| Rented or Sold, Not Occupied | 171, 0.75%, see rank | 0.88% | 0.95% |
| For Seasonal, Recreational, or Occasional Use | 166, 0.73%, see rank | 1.04% | 3.60% |
| For Migrant Workers | 0, 0.00%, see rank | 0.01% | 0.03% |
| Other Vacant | 806, 3.56%, see rank | 4.37% | 3.59% |
ACS 2005-2009 data
| | Greenville Area | Ohio | U.S. |
| Total Housing Units | 22,342, see rank, 100% | 5,064,437 | 127,699,712 |
| Occupied Housing Units | 20,633, 92.35%, see rank | 89.37% | 88.18% |
| Owner Occupied | 16,239, 72.68%, see rank | 62.10% | 58.98% |
| Renter Occupied | 4,394, 19.67%, see rank | 27.27% | 29.20% |
| Vacant Housing Units | 1,709, 7.65%, see rank | 10.63% | 11.82% |
| For Rent | 274, 1.23%, see rank | 3.01% | 2.52% |
| For Sale Only | 452, 2.02%, see rank | 1.63% | 1.39% |
| Rented or Sold, Not Occupied | 175, 0.78%, see rank | 0.94% | 0.99% |
| For Seasonal, Recreational, or Occasional Use | 147, 0.66%, see rank | 1.00% | 3.45% |
| For Migrant Workers | 0, 0.00%, see rank | 0.01% | 0.03% |
| Other Vacant | 661, 2.96%, see rank | 4.03% | 3.44% |
* 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.
