USA.com / Mississippi / Webster County / Bellefontaine, MS / 39737 / Population and Races / Historical Household and Family Data
39737 Zip Code Historical Household and Family Data
ACS 2010-2014 data
Total population: 399
39737 Zip Code | Mississippi | U.S. | |
Total Households | 123, 100% | 1,092,627 | 116,211,092 |
Average Household Size | 3.24, see rank | 2.64 | 2.63 |
1 Person Households | 27, 21.95%, see rank | 27.31% | 27.57% |
2 or More Person Households | 96, 78.05%, see rank | 72.69% | 72.43% |
Family Households (Families) | 96, 78.05%, see rank | 68.69% | 66.22% |
Average Family Size | 3.88, see rank | 3.30 | 3.32 |
Married-Couple Family | 89, 72.36%, see rank | 45.22% | 48.42% |
Nonfamily Households | 27, 21.95%, see rank | 31.31% | 33.78% |
US Census 2010 data
Total population: 285
39737 Zip Code | Mississippi | U.S. | |
Total Households | 112, 100% | 1,115,768 | 116,716,292 |
Average Household Size | 2.54, see rank | 2.58 | 2.58 |
1 Person Households | 28, 25.00%, see rank | 26.33% | 26.74% |
2 or More Person Households | 84, 75.00%, see rank | 73.67% | 73.26% |
Family Households (Families) | 82, 73.21%, see rank | 69.03% | 66.43% |
Average Family Size | 3.06, see rank | 3.11 | 3.14 |
Married-Couple Family | 72, 64.29%, see rank | 45.41% | 48.42% |
Nonfamily Households | 30, 26.79%, see rank | 30.97% | 33.57% |
ACS 2008-2012 data
Total population: 585
39737 Zip Code | Mississippi | U.S. | |
Total Households | 205, 100% | 1,087,791 | 115,226,802 |
Average Household Size | 2.85, see rank | 2.64 | 2.61 |
1 Person Households | 49, 23.90%, see rank | 27.13% | 27.45% |
2 or More Person Households | 156, 76.10%, see rank | 72.87% | 72.55% |
Family Households (Families) | 156, 76.10%, see rank | 68.96% | 66.47% |
Average Family Size | 3.44, see rank | 3.29 | 3.29 |
Married-Couple Family | 150, 73.17%, see rank | 45.98% | 48.97% |
Nonfamily Households | 49, 23.90%, see rank | 31.04% | 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.