33870 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 33870 Zip Code | Florida | U.S. |
| Workers 16 Years and Over | 6,266, 100% | 8,228,557 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 4,980, 79.48%, see rank | 79.64% | 76.41% |
| Car, Truck, or Van—Carpooled | 496, 7.92%, see rank | 9.61% | 9.59% |
| Public Transportation | 218, 3.48%, see rank | 2.09% | 5.06% |
| Walked | 106, 1.69%, see rank | 1.53% | 2.78% |
| Other Means | 217, 3.46%, see rank | 2.21% | 1.79% |
| Worked at Home | 249, 3.97%, see rank | 4.92% | 4.37% |
Mean Travel Time to Work, see rank| 33870 Zip Code | 17.9 minutes |
| Florida | 26.1 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 33870 Zip Code | Florida | U.S. |
| Workers 16 Years and Over | 7,083, 100% | 8,107,476 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 5,547, 78.31%, see rank | 79.48% | 76.14% |
| Car, Truck, or Van—Carpooled | 652, 9.21%, see rank | 10.02% | 10.03% |
| Public Transportation | 238, 3.36%, see rank | 2.03% | 4.98% |
| Walked | 168, 2.37%, see rank | 1.56% | 2.82% |
| Other Means | 239, 3.37%, see rank | 2.23% | 1.76% |
| Worked at Home | 239, 3.37%, see rank | 4.68% | 4.27% |
Mean Travel Time to Work, see rank| 33870 Zip Code | 17.7 minutes |
| Florida | 25.8 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 33870 Zip Code | Florida | U.S. |
| Workers 16 Years and Over | 7,478, 100% | 6,910,168 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 5,362, 71.70%, see rank | 78.80% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,639, 21.92%, see rank | 12.93% | 12.19% |
| Public Transportation | 19, 0.25%, see rank | 1.87% | 4.73% |
| Walked | 184, 2.46%, see rank | 1.71% | 2.93% |
| Other Means | 139, 1.86%, see rank | 1.68% | 1.19% |
| Worked at Home | 135, 1.81%, see rank | 3.00% | 3.26% |
Mean Travel Time to Work, see rank| 33870 Zip Code | 20.1 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.
