71292 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 71292 Zip Code | Louisiana | U.S. |
| Workers 16 Years and Over | 8,540, 100% | 1,970,623 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 7,665, 89.75%, see rank | 82.15% | 76.41% |
| Car, Truck, or Van—Carpooled | 610, 7.14%, see rank | 10.15% | 9.59% |
| Public Transportation | 33, 0.39%, see rank | 1.34% | 5.06% |
| Walked | 47, 0.55%, see rank | 1.91% | 2.78% |
| Other Means | 102, 1.19%, see rank | 2.12% | 1.79% |
| Worked at Home | 83, 0.97%, see rank | 2.33% | 4.37% |
Mean Travel Time to Work, see rank| 71292 Zip Code | 23.1 minutes |
| Louisiana | 24.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 71292 Zip Code | Louisiana | U.S. |
| Workers 16 Years and Over | 8,402, 100% | 1,960,054 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 7,423, 88.35%, see rank | 81.93% | 76.14% |
| Car, Truck, or Van—Carpooled | 621, 7.39%, see rank | 10.55% | 10.03% |
| Public Transportation | 10, 0.12%, see rank | 1.28% | 4.98% |
| Walked | 74, 0.88%, see rank | 1.94% | 2.82% |
| Other Means | 162, 1.93%, see rank | 1.98% | 1.76% |
| Worked at Home | 112, 1.33%, see rank | 2.32% | 4.27% |
Mean Travel Time to Work, see rank| 71292 Zip Code | 21.5 minutes |
| Louisiana | 24.3 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 71292 Zip Code | Louisiana | U.S. |
| Workers 16 Years and Over | 8,723, 100% | 1,831,057 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 7,120, 81.62%, see rank | 78.10% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,189, 13.63%, see rank | 13.63% | 12.19% |
| Public Transportation | 21, 0.24%, see rank | 2.36% | 4.73% |
| Walked | 135, 1.55%, see rank | 2.19% | 2.93% |
| Other Means | 126, 1.44%, see rank | 1.56% | 1.19% |
| Worked at Home | 132, 1.51%, see rank | 2.15% | 3.26% |
Mean Travel Time to Work, see rank| 71292 Zip Code | 21.7 minutes |
| Louisiana | 24.4 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.
