70665 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 70665 Zip Code | Louisiana | U.S. |
| Workers 16 Years and Over | 4,882, 100% | 1,970,623 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 4,316, 88.41%, see rank | 82.15% | 76.41% |
| Car, Truck, or Van—Carpooled | 358, 7.33%, see rank | 10.15% | 9.59% |
| Public Transportation | 0, 0.00%, see rank | 1.34% | 5.06% |
| Walked | 26, 0.53%, see rank | 1.91% | 2.78% |
| Other Means | 87, 1.78%, see rank | 2.12% | 1.79% |
| Worked at Home | 95, 1.95%, see rank | 2.33% | 4.37% |
Mean Travel Time to Work, see rank| 70665 Zip Code | 18.3 minutes |
| Louisiana | 24.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 70665 Zip Code | Louisiana | U.S. |
| Workers 16 Years and Over | 4,763, 100% | 1,960,054 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 4,134, 86.79%, see rank | 81.93% | 76.14% |
| Car, Truck, or Van—Carpooled | 388, 8.15%, see rank | 10.55% | 10.03% |
| Public Transportation | 13, 0.27%, see rank | 1.28% | 4.98% |
| Walked | 14, 0.29%, see rank | 1.94% | 2.82% |
| Other Means | 88, 1.85%, see rank | 1.98% | 1.76% |
| Worked at Home | 126, 2.65%, see rank | 2.32% | 4.27% |
Mean Travel Time to Work, see rank| 70665 Zip Code | 19.6 minutes |
| Louisiana | 24.3 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 70665 Zip Code | Louisiana | U.S. |
| Workers 16 Years and Over | 4,251, 100% | 1,831,057 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 3,746, 88.12%, see rank | 78.10% | 75.70% |
| Car, Truck, or Van—Carpooled | 413, 9.72%, see rank | 13.63% | 12.19% |
| Public Transportation | 18, 0.42%, see rank | 2.36% | 4.73% |
| Walked | 17, 0.40%, see rank | 2.19% | 2.93% |
| Other Means | 22, 0.52%, see rank | 1.56% | 1.19% |
| Worked at Home | 35, 0.82%, see rank | 2.15% | 3.26% |
Mean Travel Time to Work, see rank| 70665 Zip Code | 20.6 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.
