USA.com / North Carolina / Burke County / Glen Alpine, NC / 28628 / Population and Races / Historical Household and Family Data
28628 Zip Code Historical Household and Family Data
ACS 2010-2014 data
Total population: 365
28628 Zip Code | North Carolina | U.S. | |
Total Households | 154, 100% | 3,742,514 | 116,211,092 |
Average Household Size | 2.37, see rank | 2.54 | 2.63 |
1 Person Households | 67, 43.51%, see rank | 27.90% | 27.57% |
2 or More Person Households | 87, 56.49%, see rank | 72.10% | 72.43% |
Family Households (Families) | 79, 51.30%, see rank | 66.40% | 66.22% |
Average Family Size | 3.57, see rank | 3.18 | 3.32 |
Married-Couple Family | 72, 46.75%, see rank | 48.20% | 48.42% |
Nonfamily Households | 75, 48.70%, see rank | 33.60% | 33.78% |
US Census 2010 data
Total population: 479
28628 Zip Code | North Carolina | U.S. | |
Total Households | 201, 100% | 3,745,155 | 116,716,292 |
Average Household Size | 2.38, see rank | 2.48 | 2.58 |
1 Person Households | 61, 30.35%, see rank | 27.00% | 26.74% |
2 or More Person Households | 140, 69.65%, see rank | 73.00% | 73.26% |
Family Households (Families) | 133, 66.17%, see rank | 66.73% | 66.43% |
Average Family Size | 2.87, see rank | 3.01 | 3.14 |
Married-Couple Family | 94, 46.77%, see rank | 48.38% | 48.42% |
Nonfamily Households | 68, 33.83%, see rank | 33.27% | 33.57% |
ACS 2008-2012 data
Total population: 389
28628 Zip Code | North Carolina | U.S. | |
Total Households | 142, 100% | 3,693,221 | 115,226,802 |
Average Household Size | 2.74, see rank | 2.51 | 2.61 |
1 Person Households | 39, 27.46%, see rank | 27.67% | 27.45% |
2 or More Person Households | 103, 72.54%, see rank | 72.33% | 72.55% |
Family Households (Families) | 93, 65.49%, see rank | 66.74% | 66.47% |
Average Family Size | 3.55, see rank | 3.15 | 3.29 |
Married-Couple Family | 75, 52.82%, see rank | 48.99% | 48.97% |
Nonfamily Households | 49, 34.51%, 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.