USA.com / Pennsylvania / Shamokin Dam, PA / 17876 / Population and Races / Historical Household and Family Data
17876 Zip Code Historical Household and Family Data
ACS 2010-2014 data
Total population: 1,592
17876 Zip Code | Pennsylvania | U.S. | |
Total Households | 792, 100% | 4,957,736 | 116,211,092 |
Average Household Size | 2.01, see rank | 2.49 | 2.63 |
1 Person Households | 340, 42.93%, see rank | 29.56% | 27.57% |
2 or More Person Households | 452, 57.07%, see rank | 70.44% | 72.43% |
Family Households (Families) | 411, 51.89%, see rank | 64.63% | 66.22% |
Average Family Size | 2.84, see rank | 3.17 | 3.32 |
Married-Couple Family | 365, 46.09%, see rank | 48.29% | 48.42% |
Nonfamily Households | 381, 48.11%, see rank | 35.37% | 33.78% |
US Census 2010 data
Total population: 1,698
17876 Zip Code | Pennsylvania | U.S. | |
Total Households | 809, 100% | 5,018,904 | 116,716,292 |
Average Household Size | 2.10, see rank | 2.45 | 2.58 |
1 Person Households | 314, 38.81%, see rank | 28.56% | 26.74% |
2 or More Person Households | 495, 61.19%, see rank | 71.44% | 73.26% |
Family Households (Families) | 468, 57.85%, see rank | 64.98% | 66.43% |
Average Family Size | 2.78, see rank | 3.02 | 3.14 |
Married-Couple Family | 381, 47.10%, see rank | 48.17% | 48.42% |
Nonfamily Households | 341, 42.15%, see rank | 35.02% | 33.57% |
ACS 2008-2012 data
Total population: 1,692
17876 Zip Code | Pennsylvania | U.S. | |
Total Households | 798, 100% | 4,959,633 | 115,226,802 |
Average Household Size | 2.12, see rank | 2.47 | 2.61 |
1 Person Households | 328, 41.10%, see rank | 29.31% | 27.45% |
2 or More Person Households | 470, 58.90%, see rank | 70.69% | 72.55% |
Family Households (Families) | 451, 56.52%, see rank | 65.07% | 66.47% |
Average Family Size | 2.93, see rank | 3.14 | 3.29 |
Married-Couple Family | 411, 51.50%, see rank | 48.85% | 48.97% |
Nonfamily Households | 347, 43.48%, 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.