USA.com / New York / Chautauqua County / Maple Springs, NY / 14756 / Population and Races / Historical Household and Family Data
14756 Zip Code Historical Household and Family Data
ACS 2010-2014 data
Total population: 164
| 14756 Zip Code | New York | U.S. | |
| Total Households | 95, 100% | 7,255,528 | 116,211,092 |
| Average Household Size | 1.73, see rank | 2.62 | 2.63 |
| 1 Person Households | 31, 32.63%, see rank | 29.55% | 27.57% |
| 2 or More Person Households | 64, 67.37%, see rank | 70.45% | 72.43% |
| Family Households (Families) | 64, 67.37%, see rank | 63.90% | 66.22% |
| Average Family Size | 2.08, see rank | 3.38 | 3.32 |
| Married-Couple Family | 17, 17.89%, see rank | 44.12% | 48.42% |
| Nonfamily Households | 31, 32.63%, see rank | 36.10% | 33.78% |
US Census 2010 data
Total population: 110
| 14756 Zip Code | New York | U.S. | |
| Total Households | 52, 100% | 7,317,755 | 116,716,292 |
| Average Household Size | 2.12, see rank | 2.57 | 2.58 |
| 1 Person Households | 16, 30.77%, see rank | 29.12% | 26.74% |
| 2 or More Person Households | 36, 69.23%, see rank | 70.88% | 73.26% |
| Family Households (Families) | 34, 65.38%, see rank | 63.54% | 66.43% |
| Average Family Size | 2.53, see rank | 3.20 | 3.14 |
| Married-Couple Family | 22, 42.31%, see rank | 43.63% | 48.42% |
| Nonfamily Households | 18, 34.62%, see rank | 36.46% | 33.57% |
ACS 2008-2012 data
Total population: 100
| 14756 Zip Code | New York | U.S. | |
| Total Households | 49, 100% | 7,230,896 | 115,226,802 |
| Average Household Size | 2.04, see rank | 2.60 | 2.61 |
| 1 Person Households | 0, 0.00%, see rank | 29.31% | 27.45% |
| 2 or More Person Households | 49, 100.00%, see rank | 70.69% | 72.55% |
| Family Households (Families) | 49, 100.00%, see rank | 64.26% | 66.47% |
| Average Family Size | 2.04, see rank | 3.35 | 3.29 |
| Married-Couple Family | 0, 0.00%, see rank | 44.60% | 48.97% |
| Nonfamily Households | 0, 0.00%, 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.