USA.com / North Carolina / Macon County / Scaly Mountain, NC / 28775 / Population and Races / Historical Household and Family Data
28775 Zip Code Historical Household and Family Data
ACS 2010-2014 data
Total population: 365
28775 Zip Code | North Carolina | U.S. | |
Total Households | 151, 100% | 3,742,514 | 116,211,092 |
Average Household Size | 2.42, see rank | 2.54 | 2.63 |
1 Person Households | 19, 12.58%, see rank | 27.90% | 27.57% |
2 or More Person Households | 132, 87.42%, see rank | 72.10% | 72.43% |
Family Households (Families) | 127, 84.11%, see rank | 66.40% | 66.22% |
Average Family Size | 2.65, see rank | 3.18 | 3.32 |
Married-Couple Family | 81, 53.64%, see rank | 48.20% | 48.42% |
Nonfamily Households | 24, 15.89%, see rank | 33.60% | 33.78% |
US Census 2010 data
Total population: 296
28775 Zip Code | North Carolina | U.S. | |
Total Households | 133, 100% | 3,745,155 | 116,716,292 |
Average Household Size | 2.23, see rank | 2.48 | 2.58 |
1 Person Households | 35, 26.32%, see rank | 27.00% | 26.74% |
2 or More Person Households | 98, 73.68%, see rank | 73.00% | 73.26% |
Family Households (Families) | 91, 68.42%, see rank | 66.73% | 66.43% |
Average Family Size | 2.68, see rank | 3.01 | 3.14 |
Married-Couple Family | 79, 59.40%, see rank | 48.38% | 48.42% |
Nonfamily Households | 42, 31.58%, see rank | 33.27% | 33.57% |
ACS 2008-2012 data
Total population: 355
28775 Zip Code | North Carolina | U.S. | |
Total Households | 178, 100% | 3,693,221 | 115,226,802 |
Average Household Size | 1.99, see rank | 2.51 | 2.61 |
1 Person Households | 60, 33.71%, see rank | 27.67% | 27.45% |
2 or More Person Households | 118, 66.29%, see rank | 72.33% | 72.55% |
Family Households (Families) | 118, 66.29%, see rank | 66.74% | 66.47% |
Average Family Size | 2.50, see rank | 3.15 | 3.29 |
Married-Couple Family | 73, 41.01%, see rank | 48.99% | 48.97% |
Nonfamily Households | 60, 33.71%, see rank | 33.26% | 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.