33143 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 33143 Zip Code | Florida | U.S. |
| Workers 16 Years and Over | 16,273, 100% | 8,228,557 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 12,501, 76.82%, see rank | 79.64% | 76.41% |
| Car, Truck, or Van—Carpooled | 899, 5.52%, see rank | 9.61% | 9.59% |
| Public Transportation | 1,122, 6.89%, see rank | 2.09% | 5.06% |
| Walked | 452, 2.78%, see rank | 1.53% | 2.78% |
| Other Means | 512, 3.15%, see rank | 2.21% | 1.79% |
| Worked at Home | 787, 4.84%, see rank | 4.92% | 4.37% |
Mean Travel Time to Work, see rank| 33143 Zip Code | 28.2 minutes |
| Florida | 26.1 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 33143 Zip Code | Florida | U.S. |
| Workers 16 Years and Over | 15,014, 100% | 8,107,476 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 11,696, 77.90%, see rank | 79.48% | 76.14% |
| Car, Truck, or Van—Carpooled | 703, 4.68%, see rank | 10.02% | 10.03% |
| Public Transportation | 1,178, 7.85%, see rank | 2.03% | 4.98% |
| Walked | 350, 2.33%, see rank | 1.56% | 2.82% |
| Other Means | 472, 3.14%, see rank | 2.23% | 1.76% |
| Worked at Home | 615, 4.10%, see rank | 4.68% | 4.27% |
Mean Travel Time to Work, see rank| 33143 Zip Code | 27.1 minutes |
| Florida | 25.8 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 33143 Zip Code | Florida | U.S. |
| Workers 16 Years and Over | 14,124, 100% | 6,910,168 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 10,946, 77.50%, see rank | 78.80% | 75.70% |
| Car, Truck, or Van—Carpooled | 976, 6.91%, see rank | 12.93% | 12.19% |
| Public Transportation | 970, 6.87%, see rank | 1.87% | 4.73% |
| Walked | 275, 1.95%, see rank | 1.71% | 2.93% |
| Other Means | 167, 1.18%, see rank | 1.68% | 1.19% |
| Worked at Home | 790, 5.59%, see rank | 3.00% | 3.26% |
Mean Travel Time to Work, see rank| 33143 Zip Code | 28.0 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.
