32526 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 32526 Zip Code | Florida | U.S. |
| Workers 16 Years and Over | 16,161, 100% | 8,228,557 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 13,455, 83.26%, see rank | 79.64% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,986, 12.29%, see rank | 9.61% | 9.59% |
| Public Transportation | 46, 0.28%, see rank | 2.09% | 5.06% |
| Walked | 40, 0.25%, see rank | 1.53% | 2.78% |
| Other Means | 127, 0.79%, see rank | 2.21% | 1.79% |
| Worked at Home | 507, 3.14%, see rank | 4.92% | 4.37% |
Mean Travel Time to Work, see rank| 32526 Zip Code | 22.7 minutes |
| Florida | 26.1 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 32526 Zip Code | Florida | U.S. |
| Workers 16 Years and Over | 15,832, 100% | 8,107,476 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 13,353, 84.34%, see rank | 79.48% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,507, 9.52%, see rank | 10.02% | 10.03% |
| Public Transportation | 65, 0.41%, see rank | 2.03% | 4.98% |
| Walked | 138, 0.87%, see rank | 1.56% | 2.82% |
| Other Means | 226, 1.43%, see rank | 2.23% | 1.76% |
| Worked at Home | 543, 3.43%, see rank | 4.68% | 4.27% |
Mean Travel Time to Work, see rank| 32526 Zip Code | 23.0 minutes |
| Florida | 25.8 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 32526 Zip Code | Florida | U.S. |
| Workers 16 Years and Over | 14,953, 100% | 6,910,168 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 12,684, 84.83%, see rank | 78.80% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,608, 10.75%, see rank | 12.93% | 12.19% |
| Public Transportation | 73, 0.49%, see rank | 1.87% | 4.73% |
| Walked | 125, 0.84%, see rank | 1.71% | 2.93% |
| Other Means | 132, 0.88%, see rank | 1.68% | 1.19% |
| Worked at Home | 331, 2.21%, see rank | 3.00% | 3.26% |
Mean Travel Time to Work, see rank| 32526 Zip Code | 24.0 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.
