70092 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 70092 Zip Code | Louisiana | U.S. |
| Workers 16 Years and Over | 3,139, 100% | 1,970,623 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 2,764, 88.05%, see rank | 82.15% | 76.41% |
| Car, Truck, or Van—Carpooled | 244, 7.77%, see rank | 10.15% | 9.59% |
| Public Transportation | 59, 1.88%, see rank | 1.34% | 5.06% |
| Walked | 18, 0.57%, see rank | 1.91% | 2.78% |
| Other Means | 33, 1.05%, see rank | 2.12% | 1.79% |
| Worked at Home | 21, 0.67%, see rank | 2.33% | 4.37% |
Mean Travel Time to Work, see rank| 70092 Zip Code | 26.0 minutes |
| Louisiana | 24.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 70092 Zip Code | Louisiana | U.S. |
| Workers 16 Years and Over | 2,902, 100% | 1,960,054 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 2,456, 84.63%, see rank | 81.93% | 76.14% |
| Car, Truck, or Van—Carpooled | 309, 10.65%, see rank | 10.55% | 10.03% |
| Public Transportation | 46, 1.59%, see rank | 1.28% | 4.98% |
| Walked | 0, 0.00%, see rank | 1.94% | 2.82% |
| Other Means | 38, 1.31%, see rank | 1.98% | 1.76% |
| Worked at Home | 53, 1.83%, see rank | 2.32% | 4.27% |
Mean Travel Time to Work, see rank| 70092 Zip Code | 23.0 minutes |
| Louisiana | 24.3 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 70092 Zip Code | Louisiana | U.S. |
| Workers 16 Years and Over | 4,277, 100% | 1,831,057 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 3,225, 75.40%, see rank | 78.10% | 75.70% |
| Car, Truck, or Van—Carpooled | 845, 19.76%, see rank | 13.63% | 12.19% |
| Public Transportation | 56, 1.31%, see rank | 2.36% | 4.73% |
| Walked | 45, 1.05%, see rank | 2.19% | 2.93% |
| Other Means | 34, 0.79%, see rank | 1.56% | 1.19% |
| Worked at Home | 72, 1.68%, see rank | 2.15% | 3.26% |
Mean Travel Time to Work, see rank| 70092 Zip Code | 32.5 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.
