33180 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 33180 Zip Code | Florida | U.S. |
| Workers 16 Years and Over | 12,971, 100% | 8,228,557 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 10,362, 79.89%, see rank | 79.64% | 76.41% |
| Car, Truck, or Van—Carpooled | 783, 6.04%, see rank | 9.61% | 9.59% |
| Public Transportation | 293, 2.26%, see rank | 2.09% | 5.06% |
| Walked | 169, 1.30%, see rank | 1.53% | 2.78% |
| Other Means | 185, 1.43%, see rank | 2.21% | 1.79% |
| Worked at Home | 1,179, 9.09%, see rank | 4.92% | 4.37% |
Mean Travel Time to Work, see rank| 33180 Zip Code | 29.2 minutes |
| Florida | 26.1 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 33180 Zip Code | Florida | U.S. |
| Workers 16 Years and Over | 12,806, 100% | 8,107,476 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 10,400, 81.21%, see rank | 79.48% | 76.14% |
| Car, Truck, or Van—Carpooled | 768, 6.00%, see rank | 10.02% | 10.03% |
| Public Transportation | 190, 1.48%, see rank | 2.03% | 4.98% |
| Walked | 125, 0.98%, see rank | 1.56% | 2.82% |
| Other Means | 145, 1.13%, see rank | 2.23% | 1.76% |
| Worked at Home | 1,178, 9.20%, see rank | 4.68% | 4.27% |
Mean Travel Time to Work, see rank| 33180 Zip Code | 28.5 minutes |
| Florida | 25.8 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 33180 Zip Code | Florida | U.S. |
| Workers 16 Years and Over | 8,765, 100% | 6,910,168 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 7,092, 80.91%, see rank | 78.80% | 75.70% |
| Car, Truck, or Van—Carpooled | 733, 8.36%, see rank | 12.93% | 12.19% |
| Public Transportation | 217, 2.48%, see rank | 1.87% | 4.73% |
| Walked | 177, 2.02%, see rank | 1.71% | 2.93% |
| Other Means | 42, 0.48%, see rank | 1.68% | 1.19% |
| Worked at Home | 504, 5.75%, see rank | 3.00% | 3.26% |
Mean Travel Time to Work, see rank| 33180 Zip Code | 28.2 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.
