USA.com / Pennsylvania / Sterling, PA / 18463 / Population and Races / Historical Household and Family Data
18463 Zip Code Historical Household and Family Data
ACS 2010-2014 data
Total population: 204
| 18463 Zip Code | Pennsylvania | U.S. | |
| Total Households | 88, 100% | 4,957,736 | 116,211,092 |
| Average Household Size | 2.32, see rank | 2.49 | 2.63 |
| 1 Person Households | 17, 19.32%, see rank | 29.56% | 27.57% |
| 2 or More Person Households | 71, 80.68%, see rank | 70.44% | 72.43% |
| Family Households (Families) | 66, 75.00%, see rank | 64.63% | 66.22% |
| Average Family Size | 2.70, see rank | 3.17 | 3.32 |
| Married-Couple Family | 61, 69.32%, see rank | 48.29% | 48.42% |
| Nonfamily Households | 22, 25.00%, see rank | 35.37% | 33.78% |
US Census 2010 data
Total population: 199
| 18463 Zip Code | Pennsylvania | U.S. | |
| Total Households | 75, 100% | 5,018,904 | 116,716,292 |
| Average Household Size | 2.65, see rank | 2.45 | 2.58 |
| 1 Person Households | 11, 14.67%, see rank | 28.56% | 26.74% |
| 2 or More Person Households | 64, 85.33%, see rank | 71.44% | 73.26% |
| Family Households (Families) | 59, 78.67%, see rank | 64.98% | 66.43% |
| Average Family Size | 3.00, see rank | 3.02 | 3.14 |
| Married-Couple Family | 54, 72.00%, see rank | 48.17% | 48.42% |
| Nonfamily Households | 16, 21.33%, see rank | 35.02% | 33.57% |
ACS 2008-2012 data
Total population: 287
| 18463 Zip Code | Pennsylvania | U.S. | |
| Total Households | 98, 100% | 4,959,633 | 115,226,802 |
| Average Household Size | 2.93, see rank | 2.47 | 2.61 |
| 1 Person Households | 12, 12.24%, see rank | 29.31% | 27.45% |
| 2 or More Person Households | 86, 87.76%, see rank | 70.69% | 72.55% |
| Family Households (Families) | 86, 87.76%, see rank | 65.07% | 66.47% |
| Average Family Size | 3.20, see rank | 3.14 | 3.29 |
| Married-Couple Family | 74, 75.51%, see rank | 48.85% | 48.97% |
| Nonfamily Households | 12, 12.24%, see rank | 34.93% | 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.