71269 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 71269 Zip Code | Louisiana | U.S. |
| Workers 16 Years and Over | 4,780, 100% | 1,970,623 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 4,346, 90.92%, see rank | 82.15% | 76.41% |
| Car, Truck, or Van—Carpooled | 300, 6.28%, see rank | 10.15% | 9.59% |
| Public Transportation | 0, 0.00%, see rank | 1.34% | 5.06% |
| Walked | 36, 0.75%, see rank | 1.91% | 2.78% |
| Other Means | 35, 0.73%, see rank | 2.12% | 1.79% |
| Worked at Home | 63, 1.32%, see rank | 2.33% | 4.37% |
Mean Travel Time to Work, see rank| 71269 Zip Code | 19.6 minutes |
| Louisiana | 24.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 71269 Zip Code | Louisiana | U.S. |
| Workers 16 Years and Over | 4,489, 100% | 1,960,054 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 3,858, 85.94%, see rank | 81.93% | 76.14% |
| Car, Truck, or Van—Carpooled | 498, 11.09%, see rank | 10.55% | 10.03% |
| Public Transportation | 0, 0.00%, see rank | 1.28% | 4.98% |
| Walked | 23, 0.51%, see rank | 1.94% | 2.82% |
| Other Means | 40, 0.89%, see rank | 1.98% | 1.76% |
| Worked at Home | 70, 1.56%, see rank | 2.32% | 4.27% |
Mean Travel Time to Work, see rank| 71269 Zip Code | 21.9 minutes |
| Louisiana | 24.3 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 71269 Zip Code | Louisiana | U.S. |
| Workers 16 Years and Over | 4,346, 100% | 1,831,057 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 3,377, 77.70%, see rank | 78.10% | 75.70% |
| Car, Truck, or Van—Carpooled | 676, 15.55%, see rank | 13.63% | 12.19% |
| Public Transportation | 12, 0.28%, see rank | 2.36% | 4.73% |
| Walked | 142, 3.27%, see rank | 2.19% | 2.93% |
| Other Means | 65, 1.50%, see rank | 1.56% | 1.19% |
| Worked at Home | 74, 1.70%, see rank | 2.15% | 3.26% |
Mean Travel Time to Work, see rank| 71269 Zip Code | 24.8 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.
