70767 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 70767 Zip Code | Louisiana | U.S. |
| Workers 16 Years and Over | 7,004, 100% | 1,970,623 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 5,862, 83.70%, see rank | 82.15% | 76.41% |
| Car, Truck, or Van—Carpooled | 670, 9.57%, see rank | 10.15% | 9.59% |
| Public Transportation | 36, 0.51%, see rank | 1.34% | 5.06% |
| Walked | 86, 1.23%, see rank | 1.91% | 2.78% |
| Other Means | 263, 3.75%, see rank | 2.12% | 1.79% |
| Worked at Home | 87, 1.24%, see rank | 2.33% | 4.37% |
Mean Travel Time to Work, see rank| 70767 Zip Code | 24.6 minutes |
| Louisiana | 24.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 70767 Zip Code | Louisiana | U.S. |
| Workers 16 Years and Over | 6,794, 100% | 1,960,054 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 5,541, 81.56%, see rank | 81.93% | 76.14% |
| Car, Truck, or Van—Carpooled | 768, 11.30%, see rank | 10.55% | 10.03% |
| Public Transportation | 1, 0.01%, see rank | 1.28% | 4.98% |
| Walked | 188, 2.77%, see rank | 1.94% | 2.82% |
| Other Means | 131, 1.93%, see rank | 1.98% | 1.76% |
| Worked at Home | 165, 2.43%, see rank | 2.32% | 4.27% |
Mean Travel Time to Work, see rank| 70767 Zip Code | 21.1 minutes |
| Louisiana | 24.3 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 70767 Zip Code | Louisiana | U.S. |
| Workers 16 Years and Over | 5,935, 100% | 1,831,057 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 4,710, 79.36%, see rank | 78.10% | 75.70% |
| Car, Truck, or Van—Carpooled | 794, 13.38%, see rank | 13.63% | 12.19% |
| Public Transportation | 42, 0.71%, see rank | 2.36% | 4.73% |
| Walked | 140, 2.36%, see rank | 2.19% | 2.93% |
| Other Means | 123, 2.07%, see rank | 1.56% | 1.19% |
| Worked at Home | 126, 2.12%, see rank | 2.15% | 3.26% |
Mean Travel Time to Work, see rank| 70767 Zip Code | 20.2 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.
