32566 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 32566 Zip Code | Florida | U.S. |
| Workers 16 Years and Over | 16,462, 100% | 8,228,557 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 13,859, 84.19%, see rank | 79.64% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,298, 7.88%, see rank | 9.61% | 9.59% |
| Public Transportation | 42, 0.26%, see rank | 2.09% | 5.06% |
| Walked | 53, 0.32%, see rank | 1.53% | 2.78% |
| Other Means | 363, 2.21%, see rank | 2.21% | 1.79% |
| Worked at Home | 847, 5.15%, see rank | 4.92% | 4.37% |
Mean Travel Time to Work, see rank| 32566 Zip Code | 28.9 minutes |
| Florida | 26.1 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 32566 Zip Code | Florida | U.S. |
| Workers 16 Years and Over | 15,668, 100% | 8,107,476 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 12,829, 81.88%, see rank | 79.48% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,604, 10.24%, see rank | 10.02% | 10.03% |
| Public Transportation | 44, 0.28%, see rank | 2.03% | 4.98% |
| Walked | 113, 0.72%, see rank | 1.56% | 2.82% |
| Other Means | 314, 2.00%, see rank | 2.23% | 1.76% |
| Worked at Home | 764, 4.88%, see rank | 4.68% | 4.27% |
Mean Travel Time to Work, see rank| 32566 Zip Code | 28.3 minutes |
| Florida | 25.8 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 32566 Zip Code | Florida | U.S. |
| Workers 16 Years and Over | 9,980, 100% | 6,910,168 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 8,301, 83.18%, see rank | 78.80% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,033, 10.35%, see rank | 12.93% | 12.19% |
| Public Transportation | 28, 0.28%, see rank | 1.87% | 4.73% |
| Walked | 103, 1.03%, see rank | 1.71% | 2.93% |
| Other Means | 154, 1.54%, see rank | 1.68% | 1.19% |
| Worked at Home | 361, 3.62%, see rank | 3.00% | 3.26% |
Mean Travel Time to Work, see rank| 32566 Zip Code | 28.7 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.
