USA.com / Kentucky / Laurel County / London, KY / 40743 / Population and Races / Historical Household and Family Data
40743 Zip Code Historical Household and Family Data
ACS 2010-2014 data
Total population: 254
| 40743 Zip Code | Kentucky | U.S. | |
| Total Households | 106, 100% | 1,702,235 | 116,211,092 |
| Average Household Size | 2.40, see rank | 2.50 | 2.63 |
| 1 Person Households | 15, 14.15%, see rank | 28.11% | 27.57% |
| 2 or More Person Households | 91, 85.85%, see rank | 71.89% | 72.43% |
| Family Households (Families) | 91, 85.85%, see rank | 66.64% | 66.22% |
| Average Family Size | 2.63, see rank | 3.13 | 3.32 |
| Married-Couple Family | 91, 85.85%, see rank | 49.17% | 48.42% |
| Nonfamily Households | 15, 14.15%, see rank | 33.36% | 33.78% |
US Census 2010 data
Total population: 229
| 40743 Zip Code | Kentucky | U.S. | |
| Total Households | 84, 100% | 1,719,965 | 116,716,292 |
| Average Household Size | 2.73, see rank | 2.45 | 2.58 |
| 1 Person Households | 16, 19.05%, see rank | 27.53% | 26.74% |
| 2 or More Person Households | 68, 80.95%, see rank | 72.47% | 73.26% |
| Family Households (Families) | 67, 79.76%, see rank | 66.86% | 66.43% |
| Average Family Size | 3.10, see rank | 2.98 | 3.14 |
| Married-Couple Family | 55, 65.48%, see rank | 49.32% | 48.42% |
| Nonfamily Households | 17, 20.24%, see rank | 33.14% | 33.57% |
ACS 2008-2012 data
Total population: 341
| 40743 Zip Code | Kentucky | U.S. | |
| Total Households | 137, 100% | 1,691,716 | 115,226,802 |
| Average Household Size | 2.49, see rank | 2.49 | 2.61 |
| 1 Person Households | 34, 24.82%, see rank | 28.07% | 27.45% |
| 2 or More Person Households | 103, 75.18%, see rank | 71.93% | 72.55% |
| Family Households (Families) | 103, 75.18%, see rank | 67.09% | 66.47% |
| Average Family Size | 2.98, see rank | 3.12 | 3.29 |
| Married-Couple Family | 103, 75.18%, see rank | 49.95% | 48.97% |
| Nonfamily Households | 34, 24.82%, 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.