USA.com / Indiana / Cass County / Onward, IN / 46967 / Population and Races / Historical Household and Family Data
46967 Zip Code Historical Household and Family Data
ACS 2010-2014 data
Total population: 164
| 46967 Zip Code | Indiana | U.S. | |
| Total Households | 53, 100% | 2,492,183 | 116,211,092 |
| Average Household Size | 3.09, see rank | 2.55 | 2.63 |
| 1 Person Households | 8, 15.09%, see rank | 27.83% | 27.57% |
| 2 or More Person Households | 45, 84.91%, see rank | 72.17% | 72.43% |
| Family Households (Families) | 40, 75.47%, see rank | 66.45% | 66.22% |
| Average Family Size | 3.68, see rank | 3.20 | 3.32 |
| Married-Couple Family | 19, 35.85%, see rank | 49.49% | 48.42% |
| Nonfamily Households | 13, 24.53%, see rank | 33.55% | 33.78% |
US Census 2010 data
Total population: 98
| 46967 Zip Code | Indiana | U.S. | |
| Total Households | 38, 100% | 2,502,154 | 116,716,292 |
| Average Household Size | 2.58, see rank | 2.52 | 2.58 |
| 1 Person Households | 9, 23.68%, see rank | 26.85% | 26.74% |
| 2 or More Person Households | 29, 76.32%, see rank | 73.15% | 73.26% |
| Family Households (Families) | 27, 71.05%, see rank | 66.91% | 66.43% |
| Average Family Size | 2.96, see rank | 3.05 | 3.14 |
| Married-Couple Family | 15, 39.47%, see rank | 49.61% | 48.42% |
| Nonfamily Households | 11, 28.95%, see rank | 33.09% | 33.57% |
ACS 2008-2012 data
Total population: 111
| 46967 Zip Code | Indiana | U.S. | |
| Total Households | 34, 100% | 2,478,846 | 115,226,802 |
| Average Household Size | 3.26, see rank | 2.54 | 2.61 |
| 1 Person Households | 4, 11.76%, see rank | 27.63% | 27.45% |
| 2 or More Person Households | 30, 88.24%, see rank | 72.37% | 72.55% |
| Family Households (Families) | 30, 88.24%, see rank | 66.79% | 66.47% |
| Average Family Size | 3.57, see rank | 3.18 | 3.29 |
| Married-Couple Family | 15, 44.12%, see rank | 50.29% | 48.97% |
| Nonfamily Households | 4, 11.76%, 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.