33033 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 33033 Zip Code | Florida | U.S. |
| Workers 16 Years and Over | 21,141, 100% | 8,228,557 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 15,011, 71.00%, see rank | 79.64% | 76.41% |
| Car, Truck, or Van—Carpooled | 4,272, 20.21%, see rank | 9.61% | 9.59% |
| Public Transportation | 795, 3.76%, see rank | 2.09% | 5.06% |
| Walked | 61, 0.29%, see rank | 1.53% | 2.78% |
| Other Means | 270, 1.28%, see rank | 2.21% | 1.79% |
| Worked at Home | 732, 3.46%, see rank | 4.92% | 4.37% |
Mean Travel Time to Work, see rank| 33033 Zip Code | 33.0 minutes |
| Florida | 26.1 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 33033 Zip Code | Florida | U.S. |
| Workers 16 Years and Over | 20,311, 100% | 8,107,476 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 14,632, 72.04%, see rank | 79.48% | 76.14% |
| Car, Truck, or Van—Carpooled | 3,525, 17.36%, see rank | 10.02% | 10.03% |
| Public Transportation | 907, 4.47%, see rank | 2.03% | 4.98% |
| Walked | 79, 0.39%, see rank | 1.56% | 2.82% |
| Other Means | 763, 3.76%, see rank | 2.23% | 1.76% |
| Worked at Home | 405, 1.99%, see rank | 4.68% | 4.27% |
Mean Travel Time to Work, see rank| 33033 Zip Code | 34.1 minutes |
| Florida | 25.8 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 33033 Zip Code | Florida | U.S. |
| Workers 16 Years and Over | 10,616, 100% | 6,910,168 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 7,508, 70.72%, see rank | 78.80% | 75.70% |
| Car, Truck, or Van—Carpooled | 2,488, 23.44%, see rank | 12.93% | 12.19% |
| Public Transportation | 290, 2.73%, see rank | 1.87% | 4.73% |
| Walked | 137, 1.29%, see rank | 1.71% | 2.93% |
| Other Means | 121, 1.14%, see rank | 1.68% | 1.19% |
| Worked at Home | 72, 0.68%, see rank | 3.00% | 3.26% |
Mean Travel Time to Work, see rank| 33033 Zip Code | 30.2 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.
