USA.com / Indiana / Vigo County / Shepardsville, IN / 47880 / Population and Races / Historical Household and Family Data
47880 Zip Code Historical Household and Family Data
ACS 2010-2014 data
Total population: 88
| 47880 Zip Code | Indiana | U.S. | |
| Total Households | 38, 100% | 2,492,183 | 116,211,092 |
| Average Household Size | 2.32, see rank | 2.55 | 2.63 |
| 1 Person Households | 10, 26.32%, see rank | 27.83% | 27.57% |
| 2 or More Person Households | 28, 73.68%, see rank | 72.17% | 72.43% |
| Family Households (Families) | 28, 73.68%, see rank | 66.45% | 66.22% |
| Average Family Size | 2.79, see rank | 3.20 | 3.32 |
| Married-Couple Family | 28, 73.68%, see rank | 49.49% | 48.42% |
| Nonfamily Households | 10, 26.32%, see rank | 33.55% | 33.78% |
US Census 2010 data
Total population: 67
| 47880 Zip Code | Indiana | U.S. | |
| Total Households | 23, 100% | 2,502,154 | 116,716,292 |
| Average Household Size | 2.91, see rank | 2.52 | 2.58 |
| 1 Person Households | 2, 8.70%, see rank | 26.85% | 26.74% |
| 2 or More Person Households | 21, 91.30%, see rank | 73.15% | 73.26% |
| Family Households (Families) | 21, 91.30%, see rank | 66.91% | 66.43% |
| Average Family Size | 3.05, see rank | 3.05 | 3.14 |
| Married-Couple Family | 18, 78.26%, see rank | 49.61% | 48.42% |
| Nonfamily Households | 2, 8.70%, see rank | 33.09% | 33.57% |
ACS 2008-2012 data
Total population: 11
| 47880 Zip Code | Indiana | U.S. | |
| Total Households | 11, 100% | 2,478,846 | 115,226,802 |
| Average Household Size | 1.00, see rank | 2.54 | 2.61 |
| 1 Person Households | 11, 100.00%, see rank | 27.63% | 27.45% |
| 2 or More Person Households | 0, 0.00%, see rank | 72.37% | 72.55% |
| Family Households (Families) | 0, 0.00%, see rank | 66.79% | 66.47% |
| Average Family Size | 0.00, see rank | 3.18 | 3.29 |
| Married-Couple Family | 0, 0.00%, see rank | 50.29% | 48.97% |
| Nonfamily Households | 11, 100.00%, see rank | 33.21% | 33.53% |
* 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.