USA.com / New Hampshire / Coos County / Randolph, NH / 03593 / Population and Races / Historical Household and Family Data
03593 Zip Code Historical Household and Family Data
ACS 2010-2014 data
Total population: 433
03593 Zip Code | New Hampshire | U.S. | |
Total Households | 202, 100% | 519,580 | 116,211,092 |
Average Household Size | 2.14, see rank | 2.46 | 2.63 |
1 Person Households | 46, 22.77%, see rank | 25.40% | 27.57% |
2 or More Person Households | 156, 77.23%, see rank | 74.60% | 72.43% |
Family Households (Families) | 152, 75.25%, see rank | 66.83% | 66.22% |
Average Family Size | 2.48, see rank | 3.05 | 3.32 |
Married-Couple Family | 133, 65.84%, see rank | 52.95% | 48.42% |
Nonfamily Households | 50, 24.75%, see rank | 33.17% | 33.78% |
US Census 2010 data
Total population: 313
03593 Zip Code | New Hampshire | U.S. | |
Total Households | 154, 100% | 518,973 | 116,716,292 |
Average Household Size | 2.03, see rank | 2.46 | 2.58 |
1 Person Households | 39, 25.32%, see rank | 25.64% | 26.74% |
2 or More Person Households | 115, 74.68%, see rank | 74.36% | 73.26% |
Family Households (Families) | 106, 68.83%, see rank | 66.32% | 66.43% |
Average Family Size | 2.39, see rank | 2.96 | 3.14 |
Married-Couple Family | 97, 62.99%, see rank | 52.15% | 48.42% |
Nonfamily Households | 48, 31.17%, see rank | 33.68% | 33.57% |
ACS 2008-2012 data
Total population: 419
03593 Zip Code | New Hampshire | U.S. | |
Total Households | 197, 100% | 516,845 | 115,226,802 |
Average Household Size | 2.11, see rank | 2.47 | 2.61 |
1 Person Households | 48, 24.37%, see rank | 25.24% | 27.45% |
2 or More Person Households | 149, 75.63%, see rank | 74.76% | 72.55% |
Family Households (Families) | 145, 73.60%, see rank | 67.19% | 66.47% |
Average Family Size | 2.49, see rank | 3.05 | 3.29 |
Married-Couple Family | 136, 69.04%, see rank | 53.67% | 48.97% |
Nonfamily Households | 52, 26.40%, see rank | 32.81% | 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.