USA.com / Pennsylvania / Cambria County / Saint Michael, PA / 15951 / Population and Races / Historical Household and Family Data
15951 Zip Code Historical Household and Family Data
ACS 2010-2014 data
Total population: 451
15951 Zip Code | Pennsylvania | U.S. | |
Total Households | 119, 100% | 4,957,736 | 116,211,092 |
Average Household Size | 3.79, see rank | 2.49 | 2.63 |
1 Person Households | 69, 57.98%, see rank | 29.56% | 27.57% |
2 or More Person Households | 50, 42.02%, see rank | 70.44% | 72.43% |
Family Households (Families) | 37, 31.09%, see rank | 64.63% | 66.22% |
Average Family Size | 3.08, see rank | 3.17 | 3.32 |
Married-Couple Family | 37, 31.09%, see rank | 48.29% | 48.42% |
Nonfamily Households | 82, 68.91%, see rank | 35.37% | 33.78% |
US Census 2010 data
Total population: 453
15951 Zip Code | Pennsylvania | U.S. | |
Total Households | 214, 100% | 5,018,904 | 116,716,292 |
Average Household Size | 2.12, see rank | 2.45 | 2.58 |
1 Person Households | 78, 36.45%, see rank | 28.56% | 26.74% |
2 or More Person Households | 136, 63.55%, see rank | 71.44% | 73.26% |
Family Households (Families) | 122, 57.01%, see rank | 64.98% | 66.43% |
Average Family Size | 2.79, see rank | 3.02 | 3.14 |
Married-Couple Family | 98, 45.79%, see rank | 48.17% | 48.42% |
Nonfamily Households | 92, 42.99%, see rank | 35.02% | 33.57% |
ACS 2008-2012 data
Total population: 173
15951 Zip Code | Pennsylvania | U.S. | |
Total Households | 63, 100% | 4,959,633 | 115,226,802 |
Average Household Size | 2.75, see rank | 2.47 | 2.61 |
1 Person Households | 15, 23.81%, see rank | 29.31% | 27.45% |
2 or More Person Households | 48, 76.19%, see rank | 70.69% | 72.55% |
Family Households (Families) | 48, 76.19%, see rank | 65.07% | 66.47% |
Average Family Size | 3.29, see rank | 3.14 | 3.29 |
Married-Couple Family | 48, 76.19%, see rank | 48.85% | 48.97% |
Nonfamily Households | 15, 23.81%, 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.