USA.com / New York / Erie County / Farnham, NY / 14061 / Population and Races / Historical Household and Family Data
14061 Zip Code Historical Household and Family Data
ACS 2010-2014 data
Total population: 328
| 14061 Zip Code | New York | U.S. | |
| Total Households | 132, 100% | 7,255,528 | 116,211,092 |
| Average Household Size | 2.46, see rank | 2.62 | 2.63 |
| 1 Person Households | 26, 19.70%, see rank | 29.55% | 27.57% |
| 2 or More Person Households | 106, 80.30%, see rank | 70.45% | 72.43% |
| Family Households (Families) | 94, 71.21%, see rank | 63.90% | 66.22% |
| Average Family Size | 2.84, see rank | 3.38 | 3.32 |
| Married-Couple Family | 79, 59.85%, see rank | 44.12% | 48.42% |
| Nonfamily Households | 38, 28.79%, see rank | 36.10% | 33.78% |
US Census 2010 data
Total population: 349
| 14061 Zip Code | New York | U.S. | |
| Total Households | 132, 100% | 7,317,755 | 116,716,292 |
| Average Household Size | 2.61, see rank | 2.57 | 2.58 |
| 1 Person Households | 37, 28.03%, see rank | 29.12% | 26.74% |
| 2 or More Person Households | 95, 71.97%, see rank | 70.88% | 73.26% |
| Family Households (Families) | 83, 62.88%, see rank | 63.54% | 66.43% |
| Average Family Size | 3.19, see rank | 3.20 | 3.14 |
| Married-Couple Family | 57, 43.18%, see rank | 43.63% | 48.42% |
| Nonfamily Households | 49, 37.12%, see rank | 36.46% | 33.57% |
ACS 2008-2012 data
Total population: 271
| 14061 Zip Code | New York | U.S. | |
| Total Households | 102, 100% | 7,230,896 | 115,226,802 |
| Average Household Size | 2.62, see rank | 2.60 | 2.61 |
| 1 Person Households | 21, 20.59%, see rank | 29.31% | 27.45% |
| 2 or More Person Households | 81, 79.41%, see rank | 70.69% | 72.55% |
| Family Households (Families) | 70, 68.63%, see rank | 64.26% | 66.47% |
| Average Family Size | 3.07, see rank | 3.35 | 3.29 |
| Married-Couple Family | 59, 57.84%, see rank | 44.60% | 48.97% |
| Nonfamily Households | 32, 31.37%, 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.