32805 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 32805 Zip Code | Florida | U.S. |
| Workers 16 Years and Over | 7,637, 100% | 8,228,557 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 4,861, 63.65%, see rank | 79.64% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,154, 15.11%, see rank | 9.61% | 9.59% |
| Public Transportation | 914, 11.97%, see rank | 2.09% | 5.06% |
| Walked | 258, 3.38%, see rank | 1.53% | 2.78% |
| Other Means | 241, 3.16%, see rank | 2.21% | 1.79% |
| Worked at Home | 209, 2.74%, see rank | 4.92% | 4.37% |
Mean Travel Time to Work, see rank| 32805 Zip Code | 25.4 minutes |
| Florida | 26.1 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 32805 Zip Code | Florida | U.S. |
| Workers 16 Years and Over | 7,318, 100% | 8,107,476 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 4,912, 67.12%, see rank | 79.48% | 76.14% |
| Car, Truck, or Van—Carpooled | 964, 13.17%, see rank | 10.02% | 10.03% |
| Public Transportation | 768, 10.49%, see rank | 2.03% | 4.98% |
| Walked | 234, 3.20%, see rank | 1.56% | 2.82% |
| Other Means | 234, 3.20%, see rank | 2.23% | 1.76% |
| Worked at Home | 206, 2.81%, see rank | 4.68% | 4.27% |
Mean Travel Time to Work, see rank| 32805 Zip Code | 26.0 minutes |
| Florida | 25.8 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 32805 Zip Code | Florida | U.S. |
| Workers 16 Years and Over | 8,900, 100% | 6,910,168 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 5,179, 58.19%, see rank | 78.80% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,608, 18.07%, see rank | 12.93% | 12.19% |
| Public Transportation | 1,399, 15.72%, see rank | 1.87% | 4.73% |
| Walked | 346, 3.89%, see rank | 1.71% | 2.93% |
| Other Means | 252, 2.83%, see rank | 1.68% | 1.19% |
| Worked at Home | 116, 1.30%, see rank | 3.00% | 3.26% |
Mean Travel Time to Work, see rank| 32805 Zip Code | 27.9 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.
