USA.com / Pennsylvania / Cambria County / Twin Rocks, PA / 15960 / Population and Races / Historical Household and Family Data
15960 Zip Code Historical Household and Family Data
ACS 2010-2014 data
Total population: 596
15960 Zip Code | Pennsylvania | U.S. | |
Total Households | 228, 100% | 4,957,736 | 116,211,092 |
Average Household Size | 2.61, see rank | 2.49 | 2.63 |
1 Person Households | 54, 23.68%, see rank | 29.56% | 27.57% |
2 or More Person Households | 174, 76.32%, see rank | 70.44% | 72.43% |
Family Households (Families) | 159, 69.74%, see rank | 64.63% | 66.22% |
Average Family Size | 3.12, see rank | 3.17 | 3.32 |
Married-Couple Family | 125, 54.82%, see rank | 48.29% | 48.42% |
Nonfamily Households | 69, 30.26%, see rank | 35.37% | 33.78% |
US Census 2010 data
Total population: 425
15960 Zip Code | Pennsylvania | U.S. | |
Total Households | 175, 100% | 5,018,904 | 116,716,292 |
Average Household Size | 2.43, see rank | 2.45 | 2.58 |
1 Person Households | 47, 26.86%, see rank | 28.56% | 26.74% |
2 or More Person Households | 128, 73.14%, see rank | 71.44% | 73.26% |
Family Households (Families) | 122, 69.71%, see rank | 64.98% | 66.43% |
Average Family Size | 2.92, see rank | 3.02 | 3.14 |
Married-Couple Family | 77, 44.00%, see rank | 48.17% | 48.42% |
Nonfamily Households | 53, 30.29%, see rank | 35.02% | 33.57% |
ACS 2008-2012 data
Total population: 503
15960 Zip Code | Pennsylvania | U.S. | |
Total Households | 194, 100% | 4,959,633 | 115,226,802 |
Average Household Size | 2.58, see rank | 2.47 | 2.61 |
1 Person Households | 57, 29.38%, see rank | 29.31% | 27.45% |
2 or More Person Households | 137, 70.62%, see rank | 70.69% | 72.55% |
Family Households (Families) | 122, 62.89%, see rank | 65.07% | 66.47% |
Average Family Size | 3.27, see rank | 3.14 | 3.29 |
Married-Couple Family | 90, 46.39%, see rank | 48.85% | 48.97% |
Nonfamily Households | 72, 37.11%, 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.