USA.com / Florida / Escambia County / Pensacola, FL / 32502 / Population and Races / Historical Household and Family Data
32502 Zip Code Historical Household and Family Data
ACS 2010-2014 data
Total population: 2,639
32502 Zip Code | Florida | U.S. | |
Total Households | 1,335, 100% | 7,217,508 | 116,211,092 |
Average Household Size | 1.88, see rank | 2.62 | 2.63 |
1 Person Households | 689, 51.61%, see rank | 28.99% | 27.57% |
2 or More Person Households | 646, 48.39%, see rank | 71.01% | 72.43% |
Family Households (Families) | 496, 37.15%, see rank | 64.43% | 66.22% |
Average Family Size | 2.88, see rank | 3.35 | 3.32 |
Married-Couple Family | 255, 19.10%, see rank | 46.61% | 48.42% |
Nonfamily Households | 839, 62.85%, see rank | 35.57% | 33.78% |
US Census 2010 data
Total population: 3,298
32502 Zip Code | Florida | U.S. | |
Total Households | 1,645, 100% | 7,420,802 | 116,716,292 |
Average Household Size | 1.97, see rank | 2.48 | 2.58 |
1 Person Households | 722, 43.89%, see rank | 27.24% | 26.74% |
2 or More Person Households | 923, 56.11%, see rank | 72.76% | 73.26% |
Family Households (Families) | 728, 44.26%, see rank | 65.16% | 66.43% |
Average Family Size | 2.76, see rank | 3.01 | 3.14 |
Married-Couple Family | 395, 24.01%, see rank | 46.59% | 48.42% |
Nonfamily Households | 917, 55.74%, see rank | 34.84% | 33.57% |
ACS 2008-2012 data
Total population: 2,895
32502 Zip Code | Florida | U.S. | |
Total Households | 1,363, 100% | 7,147,013 | 115,226,802 |
Average Household Size | 1.99, see rank | 2.58 | 2.61 |
1 Person Households | 635, 46.59%, see rank | 28.69% | 27.45% |
2 or More Person Households | 728, 53.41%, see rank | 71.31% | 72.55% |
Family Households (Families) | 590, 43.29%, see rank | 64.80% | 66.47% |
Average Family Size | 2.94, see rank | 3.28 | 3.29 |
Married-Couple Family | 290, 21.28%, see rank | 47.32% | 48.97% |
Nonfamily Households | 773, 56.71%, 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.