USA.com / Ohio / Guernsey County / Kipling, OH / 43750 / Population and Races / Historical Household and Family Data
43750 Zip Code Historical Household and Family Data
ACS 2010-2014 data
Total population: 144
| 43750 Zip Code | Ohio | U.S. | |
| Total Households | 72, 100% | 4,570,015 | 116,211,092 |
| Average Household Size | 2.00, see rank | 2.46 | 2.63 |
| 1 Person Households | 27, 37.50%, see rank | 29.80% | 27.57% |
| 2 or More Person Households | 45, 62.50%, see rank | 70.20% | 72.43% |
| Family Households (Families) | 31, 43.06%, see rank | 64.42% | 66.22% |
| Average Family Size | 2.90, see rank | 3.14 | 3.32 |
| Married-Couple Family | 22, 30.56%, see rank | 47.09% | 48.42% |
| Nonfamily Households | 41, 56.94%, see rank | 35.58% | 33.78% |
US Census 2010 data
Total population: 164
| 43750 Zip Code | Ohio | U.S. | |
| Total Households | 66, 100% | 4,603,435 | 116,716,292 |
| Average Household Size | 2.48, see rank | 2.44 | 2.58 |
| 1 Person Households | 17, 25.76%, see rank | 28.86% | 26.74% |
| 2 or More Person Households | 49, 74.24%, see rank | 71.14% | 73.26% |
| Family Households (Families) | 46, 69.70%, see rank | 64.99% | 66.43% |
| Average Family Size | 2.96, see rank | 3.01 | 3.14 |
| Married-Couple Family | 35, 53.03%, see rank | 47.21% | 48.42% |
| Nonfamily Households | 20, 30.30%, see rank | 35.01% | 33.57% |
ACS 2008-2012 data
Total population: 172
| 43750 Zip Code | Ohio | U.S. | |
| Total Households | 80, 100% | 4,555,709 | 115,226,802 |
| Average Household Size | 2.15, see rank | 2.46 | 2.61 |
| 1 Person Households | 11, 13.75%, see rank | 29.44% | 27.45% |
| 2 or More Person Households | 69, 86.25%, see rank | 70.56% | 72.55% |
| Family Households (Families) | 69, 86.25%, see rank | 65.02% | 66.47% |
| Average Family Size | 2.33, see rank | 3.13 | 3.29 |
| Married-Couple Family | 60, 75.00%, see rank | 48.03% | 48.97% |
| Nonfamily Households | 11, 13.75%, see rank | 34.98% | 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.