USA.com / Ohio / Pike County / Cynthiana, OH / 45624 / Population and Races / Historical Household and Family Data
45624 Zip Code Historical Household and Family Data
US Census 2010 data
Total population: 31
| 45624 Zip Code | Ohio | U.S. | |
| Total Households | 16, 100% | 4,603,435 | 116,716,292 |
| Average Household Size | 1.94, see rank | 2.44 | 2.58 |
| 1 Person Households | 8, 50.00%, see rank | 28.86% | 26.74% |
| 2 or More Person Households | 8, 50.00%, see rank | 71.14% | 73.26% |
| Family Households (Families) | 8, 50.00%, see rank | 64.99% | 66.43% |
| Average Family Size | 2.88, see rank | 3.01 | 3.14 |
| Married-Couple Family | 5, 31.25%, see rank | 47.21% | 48.42% |
| Nonfamily Households | 8, 50.00%, see rank | 35.01% | 33.57% |
ACS 2008-2012 data
Total population: 26
| 45624 Zip Code | Ohio | U.S. | |
| Total Households | 12, 100% | 4,555,709 | 115,226,802 |
| Average Household Size | 2.17, see rank | 2.46 | 2.61 |
| 1 Person Households | 0, 0.00%, see rank | 29.44% | 27.45% |
| 2 or More Person Households | 12, 100.00%, see rank | 70.56% | 72.55% |
| Family Households (Families) | 12, 100.00%, see rank | 65.02% | 66.47% |
| Average Family Size | 2.17, see rank | 3.13 | 3.29 |
| Married-Couple Family | 12, 100.00%, see rank | 48.03% | 48.97% |
| Nonfamily Households | 0, 0.00%, see rank | 34.98% | 33.53% |
US Census 2000 data
Total population: 120
| 45624 Zip Code | Ohio | U.S. | |
| Total Households | 46, 100% | 4,445,773 | 105,480,101 |
| Average Household Size | 2.61, see rank | 2.49 | 2.59 |
| 1 Person Households | 12, 26.09%, see rank | 27.34% | 25.82% |
| 2 or More Person Households | 34, 73.91%, see rank | 72.66% | 74.18% |
| Family Households (Families) | 31, 67.39%, see rank | 67.32% | 68.06% |
| Average Family Size | 3.03, see rank | 3.04 | 3.14 |
| Married-Couple Family | 26, 56.52%, see rank | 51.42% | 51.66% |
| Nonfamily Households | 15, 32.61%, see rank | 32.68% | 31.94% |
* 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.