USA.com / Iowa / Windsor Heights, IA / 50324 / Population and Races / Historical Household and Family Data
50324 Zip Code Historical Household and Family Data
ACS 2010-2014 data
Total population: 4,877
50324 Zip Code | Iowa | U.S. | |
Total Households | 2,062, 100% | 1,232,228 | 116,211,092 |
Average Household Size | 2.36, see rank | 2.42 | 2.63 |
1 Person Households | 598, 29.00%, see rank | 28.77% | 27.57% |
2 or More Person Households | 1,464, 71.00%, see rank | 71.23% | 72.43% |
Family Households (Families) | 1,359, 65.91%, see rank | 64.68% | 66.22% |
Average Family Size | 2.96, see rank | 3.05 | 3.32 |
Married-Couple Family | 1,095, 53.10%, see rank | 51.37% | 48.42% |
Nonfamily Households | 703, 34.09%, see rank | 35.32% | 33.78% |
US Census 2010 data
Total population: 4,903
50324 Zip Code | Iowa | U.S. | |
Total Households | 2,195, 100% | 1,221,576 | 116,716,292 |
Average Household Size | 2.23, see rank | 2.41 | 2.58 |
1 Person Households | 703, 32.03%, see rank | 28.45% | 26.74% |
2 or More Person Households | 1,492, 67.97%, see rank | 71.55% | 73.26% |
Family Households (Families) | 1,297, 59.09%, see rank | 64.67% | 66.43% |
Average Family Size | 2.83, see rank | 2.97 | 3.14 |
Married-Couple Family | 1,039, 47.33%, see rank | 51.18% | 48.42% |
Nonfamily Households | 898, 40.91%, see rank | 35.33% | 33.57% |
ACS 2008-2012 data
Total population: 4,857
50324 Zip Code | Iowa | U.S. | |
Total Households | 2,050, 100% | 1,223,509 | 115,226,802 |
Average Household Size | 2.36, see rank | 2.41 | 2.61 |
1 Person Households | 683, 33.32%, see rank | 28.63% | 27.45% |
2 or More Person Households | 1,367, 66.68%, see rank | 71.37% | 72.55% |
Family Households (Families) | 1,276, 62.24%, see rank | 65.05% | 66.47% |
Average Family Size | 3.09, see rank | 3.03 | 3.29 |
Married-Couple Family | 1,071, 52.24%, see rank | 51.96% | 48.97% |
Nonfamily Households | 774, 37.76%, see rank | 34.95% | 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.