33177 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 33177 Zip Code | Florida | U.S. |
| Workers 16 Years and Over | 25,735, 100% | 8,228,557 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 20,920, 81.29%, see rank | 79.64% | 76.41% |
| Car, Truck, or Van—Carpooled | 2,965, 11.52%, see rank | 9.61% | 9.59% |
| Public Transportation | 504, 1.96%, see rank | 2.09% | 5.06% |
| Walked | 163, 0.63%, see rank | 1.53% | 2.78% |
| Other Means | 644, 2.50%, see rank | 2.21% | 1.79% |
| Worked at Home | 539, 2.09%, see rank | 4.92% | 4.37% |
Mean Travel Time to Work, see rank| 33177 Zip Code | 38.3 minutes |
| Florida | 26.1 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 33177 Zip Code | Florida | U.S. |
| Workers 16 Years and Over | 24,192, 100% | 8,107,476 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 19,074, 78.84%, see rank | 79.48% | 76.14% |
| Car, Truck, or Van—Carpooled | 2,969, 12.27%, see rank | 10.02% | 10.03% |
| Public Transportation | 729, 3.01%, see rank | 2.03% | 4.98% |
| Walked | 107, 0.44%, see rank | 1.56% | 2.82% |
| Other Means | 828, 3.42%, see rank | 2.23% | 1.76% |
| Worked at Home | 485, 2.00%, see rank | 4.68% | 4.27% |
Mean Travel Time to Work, see rank| 33177 Zip Code | 39.0 minutes |
| Florida | 25.8 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 33177 Zip Code | Florida | U.S. |
| Workers 16 Years and Over | 18,331, 100% | 6,910,168 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 14,223, 77.59%, see rank | 78.80% | 75.70% |
| Car, Truck, or Van—Carpooled | 3,090, 16.86%, see rank | 12.93% | 12.19% |
| Public Transportation | 356, 1.94%, see rank | 1.87% | 4.73% |
| Walked | 193, 1.05%, see rank | 1.71% | 2.93% |
| Other Means | 171, 0.93%, see rank | 1.68% | 1.19% |
| Worked at Home | 298, 1.63%, see rank | 3.00% | 3.26% |
Mean Travel Time to Work, see rank| 33177 Zip Code | 36.4 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.
