USA.com / Pennsylvania / Monroe County / Reeders, PA / 18352 / Population and Races / Historical Household and Family Data
18352 Zip Code Historical Household and Family Data
ACS 2010-2014 data
Total population: 1,326
18352 Zip Code | Pennsylvania | U.S. | |
Total Households | 390, 100% | 4,957,736 | 116,211,092 |
Average Household Size | 3.40, see rank | 2.49 | 2.63 |
1 Person Households | 24, 6.15%, see rank | 29.56% | 27.57% |
2 or More Person Households | 366, 93.85%, see rank | 70.44% | 72.43% |
Family Households (Families) | 299, 76.67%, see rank | 64.63% | 66.22% |
Average Family Size | 3.57, see rank | 3.17 | 3.32 |
Married-Couple Family | 169, 43.33%, see rank | 48.29% | 48.42% |
Nonfamily Households | 91, 23.33%, see rank | 35.37% | 33.78% |
US Census 2010 data
Total population: 1,098
18352 Zip Code | Pennsylvania | U.S. | |
Total Households | 421, 100% | 5,018,904 | 116,716,292 |
Average Household Size | 2.61, see rank | 2.45 | 2.58 |
1 Person Households | 86, 20.43%, see rank | 28.56% | 26.74% |
2 or More Person Households | 335, 79.57%, see rank | 71.44% | 73.26% |
Family Households (Families) | 313, 74.35%, see rank | 64.98% | 66.43% |
Average Family Size | 2.96, see rank | 3.02 | 3.14 |
Married-Couple Family | 254, 60.33%, see rank | 48.17% | 48.42% |
Nonfamily Households | 108, 25.65%, see rank | 35.02% | 33.57% |
ACS 2008-2012 data
Total population: 1,154
18352 Zip Code | Pennsylvania | U.S. | |
Total Households | 419, 100% | 4,959,633 | 115,226,802 |
Average Household Size | 2.75, see rank | 2.47 | 2.61 |
1 Person Households | 66, 15.75%, see rank | 29.31% | 27.45% |
2 or More Person Households | 353, 84.25%, see rank | 70.69% | 72.55% |
Family Households (Families) | 328, 78.28%, see rank | 65.07% | 66.47% |
Average Family Size | 3.16, see rank | 3.14 | 3.29 |
Married-Couple Family | 255, 60.86%, see rank | 48.85% | 48.97% |
Nonfamily Households | 91, 21.72%, 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.