USA.com / Georgia / Bibb County / Macon, GA / 31207 / Population and Races / Historical Household and Family Data
31207 Zip Code Historical Household and Family Data
ACS 2010-2014 data
Total population: 1,320
| 31207 Zip Code | Georgia | U.S. | |
| Total Households | 4, 100% | 3,540,690 | 116,211,092 |
| Average Household Size | 1.75, see rank | 2.72 | 2.63 |
| 1 Person Households | 0, 0.00%, see rank | 26.68% | 27.57% |
| 2 or More Person Households | 4, 100.00%, see rank | 73.32% | 72.43% |
| Family Households (Families) | 4, 100.00%, see rank | 67.98% | 66.22% |
| Average Family Size | 1.75, see rank | 3.41 | 3.32 |
| Married-Couple Family | 4, 100.00%, see rank | 47.85% | 48.42% |
| Nonfamily Households | 0, 0.00%, see rank | 32.02% | 33.78% |
US Census 2010 data
Total population: 974
| 31207 Zip Code | Georgia | U.S. | |
| Total Households | 1, 100% | 3,585,584 | 116,716,292 |
| Average Household Size | 1.00, see rank | 2.63 | 2.58 |
| 1 Person Households | 1, 100.00%, see rank | 25.36% | 26.74% |
| 2 or More Person Households | 0, 0.00%, see rank | 74.64% | 73.26% |
| Family Households (Families) | 0, 0.00%, see rank | 68.55% | 66.43% |
| Average Family Size | 0.00, see rank | 3.17 | 3.14 |
| Married-Couple Family | 0, 0.00%, see rank | 47.82% | 48.42% |
| Nonfamily Households | 1, 100.00%, see rank | 31.45% | 33.57% |
ACS 2008-2012 data
Total population: 1,323
| 31207 Zip Code | Georgia | U.S. | |
| Total Households | 15, 100% | 3,508,477 | 115,226,802 |
| Average Household Size | 1.00, see rank | 2.70 | 2.61 |
| 1 Person Households | 15, 100.00%, see rank | 26.45% | 27.45% |
| 2 or More Person Households | 0, 0.00%, see rank | 73.55% | 72.55% |
| Family Households (Families) | 0, 0.00%, see rank | 68.33% | 66.47% |
| Average Family Size | 0.00, see rank | 3.36 | 3.29 |
| Married-Couple Family | 0, 0.00%, see rank | 48.46% | 48.97% |
| Nonfamily Households | 15, 100.00%, 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.