USA.com / Maryland / Montgomery County / Gaithersburg, MD / 20899 / Population and Races / Historical Household and Family Data
20899 Zip Code Historical Household and Family Data
ACS 2010-2014 data
Total population: 131
| 20899 Zip Code | Maryland | U.S. | |
| Total Households | 131, 100% | 2,155,983 | 116,211,092 |
| Average Household Size | 1.00, see rank | 2.67 | 2.63 |
| 1 Person Households | 131, 100.00%, see rank | 26.95% | 27.57% |
| 2 or More Person Households | 0, 0.00%, see rank | 73.05% | 72.43% |
| Family Households (Families) | 0, 0.00%, see rank | 67.07% | 66.22% |
| Average Family Size | 0.00, see rank | 3.35 | 3.32 |
| Married-Couple Family | 0, 0.00%, see rank | 47.68% | 48.42% |
| Nonfamily Households | 131, 100.00%, see rank | 32.93% | 33.78% |
US Census 2010 data
Total population: 142
| 20899 Zip Code | Maryland | U.S. | |
| Total Households | 126, 100% | 2,156,411 | 116,716,292 |
| Average Household Size | 1.13, see rank | 2.61 | 2.58 |
| 1 Person Households | 113, 89.68%, see rank | 26.11% | 26.74% |
| 2 or More Person Households | 13, 10.32%, see rank | 73.89% | 73.26% |
| Family Households (Families) | 11, 8.73%, see rank | 67.10% | 66.43% |
| Average Family Size | 2.27, see rank | 3.15 | 3.14 |
| Married-Couple Family | 6, 4.76%, see rank | 47.61% | 48.42% |
| Nonfamily Households | 115, 91.27%, see rank | 32.90% | 33.57% |
ACS 2008-2012 data
Total population: 130
| 20899 Zip Code | Maryland | U.S. | |
| Total Households | 130, 100% | 2,138,806 | 115,226,802 |
| Average Household Size | 1.00, see rank | 2.64 | 2.61 |
| 1 Person Households | 130, 100.00%, see rank | 27.12% | 27.45% |
| 2 or More Person Households | 0, 0.00%, see rank | 72.88% | 72.55% |
| Family Households (Families) | 0, 0.00%, see rank | 66.97% | 66.47% |
| Average Family Size | 0.00, see rank | 3.32 | 3.29 |
| Married-Couple Family | 0, 0.00%, see rank | 48.03% | 48.97% |
| Nonfamily Households | 130, 100.00%, see rank | 33.03% | 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.