USA.com / South Carolina / Spartanburg County / Cross Anchor, SC / 29331 / Population and Races / Historical Household and Family Data
29331 Zip Code Historical Household and Family Data
ACS 2010-2014 data
Total population: 277
29331 Zip Code | South Carolina | U.S. | |
Total Households | 65, 100% | 1,795,715 | 116,211,092 |
Average Household Size | 4.26, see rank | 2.56 | 2.63 |
1 Person Households | 0, 0.00%, see rank | 27.77% | 27.57% |
2 or More Person Households | 65, 100.00%, see rank | 72.23% | 72.43% |
Family Households (Families) | 65, 100.00%, see rank | 67.06% | 66.22% |
Average Family Size | 4.26, see rank | 3.20 | 3.32 |
Married-Couple Family | 28, 43.08%, see rank | 47.27% | 48.42% |
Nonfamily Households | 0, 0.00%, see rank | 32.94% | 33.78% |
US Census 2010 data
Total population: 142
29331 Zip Code | South Carolina | U.S. | |
Total Households | 66, 100% | 1,801,181 | 116,716,292 |
Average Household Size | 2.15, see rank | 2.49 | 2.58 |
1 Person Households | 25, 37.88%, see rank | 26.53% | 26.74% |
2 or More Person Households | 41, 62.12%, see rank | 73.47% | 73.26% |
Family Households (Families) | 40, 60.61%, see rank | 67.53% | 66.43% |
Average Family Size | 2.83, see rank | 3.01 | 3.14 |
Married-Couple Family | 28, 42.42%, see rank | 47.19% | 48.42% |
Nonfamily Households | 26, 39.39%, see rank | 32.47% | 33.57% |
ACS 2008-2012 data
Total population: 152
29331 Zip Code | South Carolina | U.S. | |
Total Households | 52, 100% | 1,768,255 | 115,226,802 |
Average Household Size | 2.92, see rank | 2.54 | 2.61 |
1 Person Households | 0, 0.00%, see rank | 27.51% | 27.45% |
2 or More Person Households | 52, 100.00%, see rank | 72.49% | 72.55% |
Family Households (Families) | 52, 100.00%, see rank | 67.41% | 66.47% |
Average Family Size | 2.92, see rank | 3.17 | 3.29 |
Married-Couple Family | 42, 80.77%, see rank | 47.97% | 48.97% |
Nonfamily Households | 0, 0.00%, see rank | 32.59% | 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.