89015 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 89015 Zip Code | Nevada | U.S. |
| Workers 16 Years and Over | 15,152, 100% | 1,225,882 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 12,470, 82.30%, see rank | 78.04% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,392, 9.19%, see rank | 10.94% | 9.59% |
| Public Transportation | 376, 2.48%, see rank | 3.59% | 5.06% |
| Walked | 336, 2.22%, see rank | 2.07% | 2.78% |
| Other Means | 229, 1.51%, see rank | 2.11% | 1.79% |
| Worked at Home | 349, 2.30%, see rank | 3.26% | 4.37% |
Mean Travel Time to Work, see rank| 89015 Zip Code | 24.4 minutes |
| Nevada | 23.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 89015 Zip Code | Nevada | U.S. |
| Workers 16 Years and Over | 16,307, 100% | 1,223,670 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 12,862, 78.87%, see rank | 78.07% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,836, 11.26%, see rank | 11.25% | 10.03% |
| Public Transportation | 338, 2.07%, see rank | 3.40% | 4.98% |
| Walked | 406, 2.49%, see rank | 2.08% | 2.82% |
| Other Means | 311, 1.91%, see rank | 2.02% | 1.76% |
| Worked at Home | 554, 3.40%, see rank | 3.19% | 4.27% |
Mean Travel Time to Work, see rank| 89015 Zip Code | 23.7 minutes |
| Nevada | 23.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 89015 Zip Code | Nevada | U.S. |
| Workers 16 Years and Over | 29,694, 100% | 923,155 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 24,075, 81.08%, see rank | 74.46% | 75.70% |
| Car, Truck, or Van—Carpooled | 3,464, 11.67%, see rank | 14.72% | 12.19% |
| Public Transportation | 637, 2.15%, see rank | 3.95% | 4.73% |
| Walked | 507, 1.71%, see rank | 2.69% | 2.93% |
| Other Means | 449, 1.51%, see rank | 1.59% | 1.19% |
| Worked at Home | 562, 1.89%, see rank | 2.59% | 3.26% |
Mean Travel Time to Work, see rank| 89015 Zip Code | 24.7 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.
