USA.com / Georgia / Moultrie, GA / 31788 / Population and Races / Historical Household and Family Data
31788 Zip Code Historical Household and Family Data
ACS 2010-2014 data
Total population: 10,990
31788 Zip Code | Georgia | U.S. | |
Total Households | 3,383, 100% | 3,540,690 | 116,211,092 |
Average Household Size | 3.09, see rank | 2.72 | 2.63 |
1 Person Households | 694, 20.51%, see rank | 26.68% | 27.57% |
2 or More Person Households | 2,689, 79.49%, see rank | 73.32% | 72.43% |
Family Households (Families) | 2,597, 76.77%, see rank | 67.98% | 66.22% |
Average Family Size | 3.67, see rank | 3.41 | 3.32 |
Married-Couple Family | 1,877, 55.48%, see rank | 47.85% | 48.42% |
Nonfamily Households | 786, 23.23%, see rank | 32.02% | 33.78% |
US Census 2010 data
Total population: 10,602
31788 Zip Code | Georgia | U.S. | |
Total Households | 3,591, 100% | 3,585,584 | 116,716,292 |
Average Household Size | 2.82, see rank | 2.63 | 2.58 |
1 Person Households | 737, 20.52%, see rank | 25.36% | 26.74% |
2 or More Person Households | 2,854, 79.48%, see rank | 74.64% | 73.26% |
Family Households (Families) | 2,685, 74.77%, see rank | 68.55% | 66.43% |
Average Family Size | 3.23, see rank | 3.17 | 3.14 |
Married-Couple Family | 1,917, 53.38%, see rank | 47.82% | 48.42% |
Nonfamily Households | 906, 25.23%, see rank | 31.45% | 33.57% |
ACS 2008-2012 data
Total population: 10,575
31788 Zip Code | Georgia | U.S. | |
Total Households | 3,256, 100% | 3,508,477 | 115,226,802 |
Average Household Size | 3.06, see rank | 2.70 | 2.61 |
1 Person Households | 527, 16.19%, see rank | 26.45% | 27.45% |
2 or More Person Households | 2,729, 83.81%, see rank | 73.55% | 72.55% |
Family Households (Families) | 2,558, 78.56%, see rank | 68.33% | 66.47% |
Average Family Size | 3.53, see rank | 3.36 | 3.29 |
Married-Couple Family | 1,745, 53.59%, see rank | 48.46% | 48.97% |
Nonfamily Households | 698, 21.44%, see rank | 31.67% | 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.