USA.com / Florida / Pinellas County / Tarpon Springs, FL / 34688 / Population and Races / Historical Household and Family Data
34688 Zip Code Historical Household and Family Data
ACS 2010-2014 data
Total population: 8,249
34688 Zip Code | Florida | U.S. | |
Total Households | 3,353, 100% | 7,217,508 | 116,211,092 |
Average Household Size | 2.45, see rank | 2.62 | 2.63 |
1 Person Households | 938, 27.97%, see rank | 28.99% | 27.57% |
2 or More Person Households | 2,415, 72.03%, see rank | 71.01% | 72.43% |
Family Households (Families) | 2,321, 69.22%, see rank | 64.43% | 66.22% |
Average Family Size | 3.04, see rank | 3.35 | 3.32 |
Married-Couple Family | 1,887, 56.28%, see rank | 46.61% | 48.42% |
Nonfamily Households | 1,032, 30.78%, see rank | 35.57% | 33.78% |
US Census 2010 data
Total population: 7,274
34688 Zip Code | Florida | U.S. | |
Total Households | 2,986, 100% | 7,420,802 | 116,716,292 |
Average Household Size | 2.43, see rank | 2.48 | 2.58 |
1 Person Households | 729, 24.41%, see rank | 27.24% | 26.74% |
2 or More Person Households | 2,257, 75.59%, see rank | 72.76% | 73.26% |
Family Households (Families) | 2,141, 71.70%, see rank | 65.16% | 66.43% |
Average Family Size | 2.88, see rank | 3.01 | 3.14 |
Married-Couple Family | 1,859, 62.26%, see rank | 46.59% | 48.42% |
Nonfamily Households | 845, 28.30%, see rank | 34.84% | 33.57% |
ACS 2008-2012 data
Total population: 7,936
34688 Zip Code | Florida | U.S. | |
Total Households | 3,323, 100% | 7,147,013 | 115,226,802 |
Average Household Size | 2.37, see rank | 2.58 | 2.61 |
1 Person Households | 1,101, 33.13%, see rank | 28.69% | 27.45% |
2 or More Person Households | 2,222, 66.87%, see rank | 71.31% | 72.55% |
Family Households (Families) | 2,034, 61.21%, see rank | 64.80% | 66.47% |
Average Family Size | 3.13, see rank | 3.28 | 3.29 |
Married-Couple Family | 1,651, 49.68%, see rank | 47.32% | 48.97% |
Nonfamily Households | 1,289, 38.79%, see rank | 35.20% | 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.