USA.com / Kentucky / Pike County / Fords Branch, KY / 41526 / Population and Races / Historical Household and Family Data
41526 Zip Code Historical Household and Family Data
ACS 2010-2014 data
Total population: 104
| 41526 Zip Code | Kentucky | U.S. | |
| Total Households | 56, 100% | 1,702,235 | 116,211,092 |
| Average Household Size | 1.86, see rank | 2.50 | 2.63 |
| 1 Person Households | 34, 60.71%, see rank | 28.11% | 27.57% |
| 2 or More Person Households | 22, 39.29%, see rank | 71.89% | 72.43% |
| Family Households (Families) | 22, 39.29%, see rank | 66.64% | 66.22% |
| Average Family Size | 3.18, see rank | 3.13 | 3.32 |
| Married-Couple Family | 22, 39.29%, see rank | 49.17% | 48.42% |
| Nonfamily Households | 34, 60.71%, see rank | 33.36% | 33.78% |
US Census 2010 data
Total population: 125
| 41526 Zip Code | Kentucky | U.S. | |
| Total Households | 48, 100% | 1,719,965 | 116,716,292 |
| Average Household Size | 2.60, see rank | 2.45 | 2.58 |
| 1 Person Households | 10, 20.83%, see rank | 27.53% | 26.74% |
| 2 or More Person Households | 38, 79.17%, see rank | 72.47% | 73.26% |
| Family Households (Families) | 38, 79.17%, see rank | 66.86% | 66.43% |
| Average Family Size | 2.95, see rank | 2.98 | 3.14 |
| Married-Couple Family | 31, 64.58%, see rank | 49.32% | 48.42% |
| Nonfamily Households | 10, 20.83%, see rank | 33.14% | 33.57% |
ACS 2008-2012 data
Total population: 179
| 41526 Zip Code | Kentucky | U.S. | |
| Total Households | 68, 100% | 1,691,716 | 115,226,802 |
| Average Household Size | 2.63, see rank | 2.49 | 2.61 |
| 1 Person Households | 35, 51.47%, see rank | 28.07% | 27.45% |
| 2 or More Person Households | 33, 48.53%, see rank | 71.93% | 72.55% |
| Family Households (Families) | 33, 48.53%, see rank | 67.09% | 66.47% |
| Average Family Size | 4.36, see rank | 3.12 | 3.29 |
| Married-Couple Family | 33, 48.53%, see rank | 49.95% | 48.97% |
| Nonfamily Households | 35, 51.47%, see rank | 32.91% | 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.