71052 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 71052 Zip Code | Louisiana | U.S. |
| Workers 16 Years and Over | 3,533, 100% | 1,970,623 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 2,941, 83.24%, see rank | 82.15% | 76.41% |
| Car, Truck, or Van—Carpooled | 499, 14.12%, see rank | 10.15% | 9.59% |
| Public Transportation | 0, 0.00%, see rank | 1.34% | 5.06% |
| Walked | 9, 0.25%, see rank | 1.91% | 2.78% |
| Other Means | 33, 0.93%, see rank | 2.12% | 1.79% |
| Worked at Home | 51, 1.44%, see rank | 2.33% | 4.37% |
Mean Travel Time to Work, see rank| 71052 Zip Code | 25.0 minutes |
| Louisiana | 24.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 71052 Zip Code | Louisiana | U.S. |
| Workers 16 Years and Over | 3,681, 100% | 1,960,054 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 2,976, 80.85%, see rank | 81.93% | 76.14% |
| Car, Truck, or Van—Carpooled | 618, 16.79%, see rank | 10.55% | 10.03% |
| Public Transportation | 0, 0.00%, see rank | 1.28% | 4.98% |
| Walked | 20, 0.54%, see rank | 1.94% | 2.82% |
| Other Means | 17, 0.46%, see rank | 1.98% | 1.76% |
| Worked at Home | 50, 1.36%, see rank | 2.32% | 4.27% |
Mean Travel Time to Work, see rank| 71052 Zip Code | 24.2 minutes |
| Louisiana | 24.3 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 71052 Zip Code | Louisiana | U.S. |
| Workers 16 Years and Over | 3,807, 100% | 1,831,057 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 2,968, 77.96%, see rank | 78.10% | 75.70% |
| Car, Truck, or Van—Carpooled | 689, 18.10%, see rank | 13.63% | 12.19% |
| Public Transportation | 22, 0.58%, see rank | 2.36% | 4.73% |
| Walked | 48, 1.26%, see rank | 2.19% | 2.93% |
| Other Means | 48, 1.26%, see rank | 1.56% | 1.19% |
| Worked at Home | 32, 0.84%, see rank | 2.15% | 3.26% |
Mean Travel Time to Work, see rank| 71052 Zip Code | 27.7 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.
