USA.com / Indiana / Wayne County / Dublin, IN / 47335 / Population and Races / Historical Household and Family Data
47335 Zip Code Historical Household and Family Data
ACS 2010-2014 data
Total population: 664
| 47335 Zip Code | Indiana | U.S. | |
| Total Households | 289, 100% | 2,492,183 | 116,211,092 |
| Average Household Size | 2.30, see rank | 2.55 | 2.63 |
| 1 Person Households | 93, 32.18%, see rank | 27.83% | 27.57% |
| 2 or More Person Households | 196, 67.82%, see rank | 72.17% | 72.43% |
| Family Households (Families) | 180, 62.28%, see rank | 66.45% | 66.22% |
| Average Family Size | 2.99, see rank | 3.20 | 3.32 |
| Married-Couple Family | 146, 50.52%, see rank | 49.49% | 48.42% |
| Nonfamily Households | 109, 37.72%, see rank | 33.55% | 33.78% |
US Census 2010 data
Total population: 761
| 47335 Zip Code | Indiana | U.S. | |
| Total Households | 312, 100% | 2,502,154 | 116,716,292 |
| Average Household Size | 2.44, see rank | 2.52 | 2.58 |
| 1 Person Households | 96, 30.77%, see rank | 26.85% | 26.74% |
| 2 or More Person Households | 216, 69.23%, see rank | 73.15% | 73.26% |
| Family Households (Families) | 201, 64.42%, see rank | 66.91% | 66.43% |
| Average Family Size | 3.06, see rank | 3.05 | 3.14 |
| Married-Couple Family | 161, 51.60%, see rank | 49.61% | 48.42% |
| Nonfamily Households | 111, 35.58%, see rank | 33.09% | 33.57% |
ACS 2008-2012 data
Total population: 693
| 47335 Zip Code | Indiana | U.S. | |
| Total Households | 274, 100% | 2,478,846 | 115,226,802 |
| Average Household Size | 2.53, see rank | 2.54 | 2.61 |
| 1 Person Households | 48, 17.52%, see rank | 27.63% | 27.45% |
| 2 or More Person Households | 226, 82.48%, see rank | 72.37% | 72.55% |
| Family Households (Families) | 216, 78.83%, see rank | 66.79% | 66.47% |
| Average Family Size | 2.89, see rank | 3.18 | 3.29 |
| Married-Couple Family | 164, 59.85%, see rank | 50.29% | 48.97% |
| Nonfamily Households | 58, 21.17%, 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.