89106 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 89106 Zip Code | Nevada | U.S. |
| Workers 16 Years and Over | 8,964, 100% | 1,225,882 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 6,367, 71.03%, see rank | 78.04% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,375, 15.34%, see rank | 10.94% | 9.59% |
| Public Transportation | 652, 7.27%, see rank | 3.59% | 5.06% |
| Walked | 180, 2.01%, see rank | 2.07% | 2.78% |
| Other Means | 240, 2.68%, see rank | 2.11% | 1.79% |
| Worked at Home | 150, 1.67%, see rank | 3.26% | 4.37% |
Mean Travel Time to Work, see rank| 89106 Zip Code | 24.4 minutes |
| Nevada | 23.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 89106 Zip Code | Nevada | U.S. |
| Workers 16 Years and Over | 9,268, 100% | 1,223,670 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 6,776, 73.11%, see rank | 78.07% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,218, 13.14%, see rank | 11.25% | 10.03% |
| Public Transportation | 670, 7.23%, see rank | 3.40% | 4.98% |
| Walked | 283, 3.05%, see rank | 2.08% | 2.82% |
| Other Means | 184, 1.99%, see rank | 2.02% | 1.76% |
| Worked at Home | 137, 1.48%, see rank | 3.19% | 4.27% |
Mean Travel Time to Work, see rank| 89106 Zip Code | 23.9 minutes |
| Nevada | 23.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 89106 Zip Code | Nevada | U.S. |
| Workers 16 Years and Over | 8,945, 100% | 923,155 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 5,066, 56.63%, see rank | 74.46% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,951, 21.81%, see rank | 14.72% | 12.19% |
| Public Transportation | 1,097, 12.26%, see rank | 3.95% | 4.73% |
| Walked | 254, 2.84%, see rank | 2.69% | 2.93% |
| Other Means | 394, 4.40%, see rank | 1.59% | 1.19% |
| Worked at Home | 183, 2.05%, see rank | 2.59% | 3.26% |
Mean Travel Time to Work, see rank| 89106 Zip Code | 25.6 minutes |
| Nevada | 22.6 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.
