USA.com / Connecticut / New London County / Yantic, CT / 06389 / Population and Races / Historical Household and Family Data
06389 Zip Code Historical Household and Family Data
ACS 2010-2014 data
Total population: 96
| 06389 Zip Code | Connecticut | U.S. | |
| Total Households | 40, 100% | 1,356,206 | 116,211,092 |
| Average Household Size | 2.40, see rank | 2.56 | 2.63 |
| 1 Person Households | 0, 0.00%, see rank | 27.92% | 27.57% |
| 2 or More Person Households | 40, 100.00%, see rank | 72.08% | 72.43% |
| Family Households (Families) | 9, 22.50%, see rank | 66.33% | 66.22% |
| Average Family Size | 3.22, see rank | 3.23 | 3.32 |
| Married-Couple Family | 9, 22.50%, see rank | 48.98% | 48.42% |
| Nonfamily Households | 31, 77.50%, see rank | 33.67% | 33.78% |
US Census 2010 data
Total population: 41
| 06389 Zip Code | Connecticut | U.S. | |
| Total Households | 16, 100% | 1,371,087 | 116,716,292 |
| Average Household Size | 2.56, see rank | 2.52 | 2.58 |
| 1 Person Households | 4, 25.00%, see rank | 27.25% | 26.74% |
| 2 or More Person Households | 12, 75.00%, see rank | 72.75% | 73.26% |
| Family Households (Families) | 9, 56.25%, see rank | 66.27% | 66.43% |
| Average Family Size | 3.33, see rank | 3.08 | 3.14 |
| Married-Couple Family | 7, 43.75%, see rank | 49.01% | 48.42% |
| Nonfamily Households | 7, 43.75%, see rank | 33.73% | 33.57% |
ACS 2008-2012 data
Total population: 99
| 06389 Zip Code | Connecticut | U.S. | |
| Total Households | 35, 100% | 1,360,184 | 115,226,802 |
| Average Household Size | 2.83, see rank | 2.54 | 2.61 |
| 1 Person Households | 0, 0.00%, see rank | 27.58% | 27.45% |
| 2 or More Person Households | 35, 100.00%, see rank | 72.42% | 72.55% |
| Family Households (Families) | 35, 100.00%, see rank | 66.73% | 66.47% |
| Average Family Size | 2.83, see rank | 3.19 | 3.29 |
| Married-Couple Family | 35, 100.00%, see rank | 49.68% | 48.97% |
| Nonfamily Households | 0, 0.00%, see rank | 33.27% | 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.