USA.com / Alabama / Shelby County / Wilton, AL / 35187 / Population and Races / Historical Household and Family Data
35187 Zip Code Historical Household and Family Data
ACS 2010-2014 data
Total population: 28
| 35187 Zip Code | Alabama | U.S. | |
| Total Households | 14, 100% | 1,842,174 | 116,211,092 |
| Average Household Size | 2.00, see rank | 2.55 | 2.63 |
| 1 Person Households | 7, 50.00%, see rank | 28.54% | 27.57% |
| 2 or More Person Households | 7, 50.00%, see rank | 71.46% | 72.43% |
| Family Households (Families) | 7, 50.00%, see rank | 67.33% | 66.22% |
| Average Family Size | 3.00, see rank | 3.21 | 3.32 |
| Married-Couple Family | 7, 50.00%, see rank | 47.79% | 48.42% |
| Nonfamily Households | 7, 50.00%, see rank | 32.67% | 33.78% |
US Census 2010 data
Total population: 32
| 35187 Zip Code | Alabama | U.S. | |
| Total Households | 8, 100% | 1,883,791 | 116,716,292 |
| Average Household Size | 4.00, see rank | 2.48 | 2.58 |
| 1 Person Households | 3, 37.50%, see rank | 27.43% | 26.74% |
| 2 or More Person Households | 5, 62.50%, see rank | 72.57% | 73.26% |
| Family Households (Families) | 4, 50.00%, see rank | 67.76% | 66.43% |
| Average Family Size | 5.50, see rank | 3.02 | 3.14 |
| Married-Couple Family | 4, 50.00%, see rank | 47.91% | 48.42% |
| Nonfamily Households | 4, 50.00%, see rank | 32.24% | 33.57% |
ACS 2008-2012 data
Total population: 16
| 35187 Zip Code | Alabama | U.S. | |
| Total Households | 6, 100% | 1,837,576 | 115,226,802 |
| Average Household Size | 2.67, see rank | 2.54 | 2.61 |
| 1 Person Households | 0, 0.00%, see rank | 28.32% | 27.45% |
| 2 or More Person Households | 6, 100.00%, see rank | 71.68% | 72.55% |
| Family Households (Families) | 6, 100.00%, see rank | 67.62% | 66.47% |
| Average Family Size | 2.67, see rank | 3.18 | 3.29 |
| Married-Couple Family | 6, 100.00%, see rank | 48.47% | 48.97% |
| Nonfamily Households | 0, 0.00%, see rank | 32.38% | 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.