32779 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 32779 Zip Code | Florida | U.S. |
| Workers 16 Years and Over | 13,311, 100% | 8,228,557 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 10,818, 81.27%, see rank | 79.64% | 76.41% |
| Car, Truck, or Van—Carpooled | 986, 7.41%, see rank | 9.61% | 9.59% |
| Public Transportation | 8, 0.06%, see rank | 2.09% | 5.06% |
| Walked | 105, 0.79%, see rank | 1.53% | 2.78% |
| Other Means | 183, 1.37%, see rank | 2.21% | 1.79% |
| Worked at Home | 1,211, 9.10%, see rank | 4.92% | 4.37% |
Mean Travel Time to Work, see rank| 32779 Zip Code | 26.5 minutes |
| Florida | 26.1 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 32779 Zip Code | Florida | U.S. |
| Workers 16 Years and Over | 13,287, 100% | 8,107,476 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 11,138, 83.83%, see rank | 79.48% | 76.14% |
| Car, Truck, or Van—Carpooled | 721, 5.43%, see rank | 10.02% | 10.03% |
| Public Transportation | 20, 0.15%, see rank | 2.03% | 4.98% |
| Walked | 105, 0.79%, see rank | 1.56% | 2.82% |
| Other Means | 161, 1.21%, see rank | 2.23% | 1.76% |
| Worked at Home | 1,142, 8.59%, see rank | 4.68% | 4.27% |
Mean Travel Time to Work, see rank| 32779 Zip Code | 26.8 minutes |
| Florida | 25.8 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 32779 Zip Code | Florida | U.S. |
| Workers 16 Years and Over | 14,904, 100% | 6,910,168 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 12,658, 84.93%, see rank | 78.80% | 75.70% |
| Car, Truck, or Van—Carpooled | 856, 5.74%, see rank | 12.93% | 12.19% |
| Public Transportation | 12, 0.08%, see rank | 1.87% | 4.73% |
| Walked | 42, 0.28%, see rank | 1.71% | 2.93% |
| Other Means | 80, 0.54%, see rank | 1.68% | 1.19% |
| Worked at Home | 1,256, 8.43%, see rank | 3.00% | 3.26% |
Mean Travel Time to Work, see rank| 32779 Zip Code | 27.4 minutes |
| Florida | 25.6 minutes |
| U.S. | 25.1 minutes |
* 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.
