32765 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 32765 Zip Code | Florida | U.S. |
| Workers 16 Years and Over | 28,280, 100% | 8,228,557 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 24,232, 85.69%, see rank | 79.64% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,807, 6.39%, see rank | 9.61% | 9.59% |
| Public Transportation | 84, 0.30%, see rank | 2.09% | 5.06% |
| Walked | 138, 0.49%, see rank | 1.53% | 2.78% |
| Other Means | 417, 1.47%, see rank | 2.21% | 1.79% |
| Worked at Home | 1,602, 5.66%, see rank | 4.92% | 4.37% |
Mean Travel Time to Work, see rank| 32765 Zip Code | 26.8 minutes |
| Florida | 26.1 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 32765 Zip Code | Florida | U.S. |
| Workers 16 Years and Over | 28,027, 100% | 8,107,476 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 24,143, 86.14%, see rank | 79.48% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,766, 6.30%, see rank | 10.02% | 10.03% |
| Public Transportation | 56, 0.20%, see rank | 2.03% | 4.98% |
| Walked | 218, 0.78%, see rank | 1.56% | 2.82% |
| Other Means | 461, 1.64%, see rank | 2.23% | 1.76% |
| Worked at Home | 1,383, 4.93%, see rank | 4.68% | 4.27% |
Mean Travel Time to Work, see rank| 32765 Zip Code | 27.6 minutes |
| Florida | 25.8 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 32765 Zip Code | Florida | U.S. |
| Workers 16 Years and Over | 22,168, 100% | 6,910,168 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 18,941, 85.44%, see rank | 78.80% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,713, 7.73%, see rank | 12.93% | 12.19% |
| Public Transportation | 48, 0.22%, see rank | 1.87% | 4.73% |
| Walked | 85, 0.38%, see rank | 1.71% | 2.93% |
| Other Means | 353, 1.59%, see rank | 1.68% | 1.19% |
| Worked at Home | 1,028, 4.64%, see rank | 3.00% | 3.26% |
Mean Travel Time to Work, see rank| 32765 Zip Code | 29.0 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.
