USA.com / New York / Suffolk County / Great River, NY / 11739 / Population and Races / Historical Household and Family Data
11739 Zip Code Historical Household and Family Data
ACS 2010-2014 data
Total population: 1,421
11739 Zip Code | New York | U.S. | |
Total Households | 474, 100% | 7,255,528 | 116,211,092 |
Average Household Size | 3.00, see rank | 2.62 | 2.63 |
1 Person Households | 84, 17.72%, see rank | 29.55% | 27.57% |
2 or More Person Households | 390, 82.28%, see rank | 70.45% | 72.43% |
Family Households (Families) | 364, 76.79%, see rank | 63.90% | 66.22% |
Average Family Size | 3.54, see rank | 3.38 | 3.32 |
Married-Couple Family | 308, 64.98%, see rank | 44.12% | 48.42% |
Nonfamily Households | 110, 23.21%, see rank | 36.10% | 33.78% |
US Census 2010 data
Total population: 1,223
11739 Zip Code | New York | U.S. | |
Total Households | 405, 100% | 7,317,755 | 116,716,292 |
Average Household Size | 3.02, see rank | 2.57 | 2.58 |
1 Person Households | 52, 12.84%, see rank | 29.12% | 26.74% |
2 or More Person Households | 353, 87.16%, see rank | 70.88% | 73.26% |
Family Households (Families) | 335, 82.72%, see rank | 63.54% | 66.43% |
Average Family Size | 3.37, see rank | 3.20 | 3.14 |
Married-Couple Family | 296, 73.09%, see rank | 43.63% | 48.42% |
Nonfamily Households | 70, 17.28%, see rank | 36.46% | 33.57% |
ACS 2008-2012 data
Total population: 1,473
11739 Zip Code | New York | U.S. | |
Total Households | 483, 100% | 7,230,896 | 115,226,802 |
Average Household Size | 3.05, see rank | 2.60 | 2.61 |
1 Person Households | 75, 15.53%, see rank | 29.31% | 27.45% |
2 or More Person Households | 408, 84.47%, see rank | 70.69% | 72.55% |
Family Households (Families) | 389, 80.54%, see rank | 64.26% | 66.47% |
Average Family Size | 3.50, see rank | 3.35 | 3.29 |
Married-Couple Family | 343, 71.01%, see rank | 44.60% | 48.97% |
Nonfamily Households | 94, 19.46%, see rank | 35.74% | 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.