USA.com / Georgia / Blakely, GA / 39823 / Population and Races / Historical Household and Family Data
39823 Zip Code Historical Household and Family Data
ACS 2010-2014 data
Total population: 8,400
39823 Zip Code | Georgia | U.S. | |
Total Households | 3,249, 100% | 3,540,690 | 116,211,092 |
Average Household Size | 2.51, see rank | 2.72 | 2.63 |
1 Person Households | 951, 29.27%, see rank | 26.68% | 27.57% |
2 or More Person Households | 2,298, 70.73%, see rank | 73.32% | 72.43% |
Family Households (Families) | 2,252, 69.31%, see rank | 67.98% | 66.22% |
Average Family Size | 3.16, see rank | 3.41 | 3.32 |
Married-Couple Family | 1,339, 41.21%, see rank | 47.85% | 48.42% |
Nonfamily Households | 997, 30.69%, see rank | 32.02% | 33.78% |
US Census 2010 data
Total population: 8,550
39823 Zip Code | Georgia | U.S. | |
Total Households | 3,243, 100% | 3,585,584 | 116,716,292 |
Average Household Size | 2.58, see rank | 2.63 | 2.58 |
1 Person Households | 851, 26.24%, see rank | 25.36% | 26.74% |
2 or More Person Households | 2,392, 73.76%, see rank | 74.64% | 73.26% |
Family Households (Families) | 2,268, 69.94%, see rank | 68.55% | 66.43% |
Average Family Size | 3.12, see rank | 3.17 | 3.14 |
Married-Couple Family | 1,376, 42.43%, see rank | 47.82% | 48.42% |
Nonfamily Households | 975, 30.06%, see rank | 31.45% | 33.57% |
ACS 2008-2012 data
Total population: 8,687
39823 Zip Code | Georgia | U.S. | |
Total Households | 3,276, 100% | 3,508,477 | 115,226,802 |
Average Household Size | 2.55, see rank | 2.70 | 2.61 |
1 Person Households | 964, 29.43%, see rank | 26.45% | 27.45% |
2 or More Person Households | 2,312, 70.57%, see rank | 73.55% | 72.55% |
Family Households (Families) | 2,239, 68.35%, see rank | 68.33% | 66.47% |
Average Family Size | 3.25, see rank | 3.36 | 3.29 |
Married-Couple Family | 1,298, 39.62%, see rank | 48.46% | 48.97% |
Nonfamily Households | 1,037, 31.65%, 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.