32174 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 32174 Zip Code | Florida | U.S. |
| Workers 16 Years and Over | 17,587, 100% | 8,228,557 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 14,518, 82.55%, see rank | 79.64% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,254, 7.13%, see rank | 9.61% | 9.59% |
| Public Transportation | 178, 1.01%, see rank | 2.09% | 5.06% |
| Walked | 147, 0.84%, see rank | 1.53% | 2.78% |
| Other Means | 429, 2.44%, see rank | 2.21% | 1.79% |
| Worked at Home | 1,061, 6.03%, see rank | 4.92% | 4.37% |
Mean Travel Time to Work, see rank| 32174 Zip Code | 21.1 minutes |
| Florida | 26.1 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 32174 Zip Code | Florida | U.S. |
| Workers 16 Years and Over | 18,067, 100% | 8,107,476 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 15,344, 84.93%, see rank | 79.48% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,265, 7.00%, see rank | 10.02% | 10.03% |
| Public Transportation | 53, 0.29%, see rank | 2.03% | 4.98% |
| Walked | 172, 0.95%, see rank | 1.56% | 2.82% |
| Other Means | 347, 1.92%, see rank | 2.23% | 1.76% |
| Worked at Home | 886, 4.90%, see rank | 4.68% | 4.27% |
Mean Travel Time to Work, see rank| 32174 Zip Code | 20.9 minutes |
| Florida | 25.8 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 32174 Zip Code | Florida | U.S. |
| Workers 16 Years and Over | 17,398, 100% | 6,910,168 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 14,409, 82.82%, see rank | 78.80% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,775, 10.20%, see rank | 12.93% | 12.19% |
| Public Transportation | 100, 0.57%, see rank | 1.87% | 4.73% |
| Walked | 180, 1.03%, see rank | 1.71% | 2.93% |
| Other Means | 366, 2.10%, see rank | 1.68% | 1.19% |
| Worked at Home | 568, 3.26%, see rank | 3.00% | 3.26% |
Mean Travel Time to Work, see rank| 32174 Zip Code | 20.4 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.
