70668 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 70668 Zip Code | Louisiana | U.S. |
| Workers 16 Years and Over | 2,717, 100% | 1,970,623 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 2,403, 88.44%, see rank | 82.15% | 76.41% |
| Car, Truck, or Van—Carpooled | 105, 3.86%, see rank | 10.15% | 9.59% |
| Public Transportation | 8, 0.29%, see rank | 1.34% | 5.06% |
| Walked | 52, 1.91%, see rank | 1.91% | 2.78% |
| Other Means | 123, 4.53%, see rank | 2.12% | 1.79% |
| Worked at Home | 26, 0.96%, see rank | 2.33% | 4.37% |
Mean Travel Time to Work, see rank| 70668 Zip Code | 26.9 minutes |
| Louisiana | 24.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 70668 Zip Code | Louisiana | U.S. |
| Workers 16 Years and Over | 2,755, 100% | 1,960,054 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 2,269, 82.36%, see rank | 81.93% | 76.14% |
| Car, Truck, or Van—Carpooled | 307, 11.14%, see rank | 10.55% | 10.03% |
| Public Transportation | 15, 0.54%, see rank | 1.28% | 4.98% |
| Walked | 67, 2.43%, see rank | 1.94% | 2.82% |
| Other Means | 80, 2.90%, see rank | 1.98% | 1.76% |
| Worked at Home | 17, 0.62%, see rank | 2.32% | 4.27% |
Mean Travel Time to Work, see rank| 70668 Zip Code | 26.6 minutes |
| Louisiana | 24.3 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 70668 Zip Code | Louisiana | U.S. |
| Workers 16 Years and Over | 2,573, 100% | 1,831,057 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 2,090, 81.23%, see rank | 78.10% | 75.70% |
| Car, Truck, or Van—Carpooled | 241, 9.37%, see rank | 13.63% | 12.19% |
| Public Transportation | 4, 0.16%, see rank | 2.36% | 4.73% |
| Walked | 65, 2.53%, see rank | 2.19% | 2.93% |
| Other Means | 56, 2.18%, see rank | 1.56% | 1.19% |
| Worked at Home | 117, 4.55%, see rank | 2.15% | 3.26% |
Mean Travel Time to Work, see rank| 70668 Zip Code | 22.0 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.
