89523 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 89523 Zip Code | Nevada | U.S. |
| Workers 16 Years and Over | 16,618, 100% | 1,225,882 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 13,566, 81.63%, see rank | 78.04% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,613, 9.71%, see rank | 10.94% | 9.59% |
| Public Transportation | 169, 1.02%, see rank | 3.59% | 5.06% |
| Walked | 305, 1.84%, see rank | 2.07% | 2.78% |
| Other Means | 219, 1.32%, see rank | 2.11% | 1.79% |
| Worked at Home | 746, 4.49%, see rank | 3.26% | 4.37% |
Mean Travel Time to Work, see rank| 89523 Zip Code | 20.0 minutes |
| Nevada | 23.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 89523 Zip Code | Nevada | U.S. |
| Workers 16 Years and Over | 17,132, 100% | 1,223,670 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 14,035, 81.92%, see rank | 78.07% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,300, 7.59%, see rank | 11.25% | 10.03% |
| Public Transportation | 282, 1.65%, see rank | 3.40% | 4.98% |
| Walked | 240, 1.40%, see rank | 2.08% | 2.82% |
| Other Means | 404, 2.36%, see rank | 2.02% | 1.76% |
| Worked at Home | 871, 5.08%, see rank | 3.19% | 4.27% |
Mean Travel Time to Work, see rank| 89523 Zip Code | 18.3 minutes |
| Nevada | 23.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 89523 Zip Code | Nevada | U.S. |
| Workers 16 Years and Over | 9,344, 100% | 923,155 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 7,738, 82.81%, see rank | 74.46% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,045, 11.18%, see rank | 14.72% | 12.19% |
| Public Transportation | 71, 0.76%, see rank | 3.95% | 4.73% |
| Walked | 79, 0.85%, see rank | 2.69% | 2.93% |
| Other Means | 89, 0.95%, see rank | 1.59% | 1.19% |
| Worked at Home | 322, 3.45%, see rank | 2.59% | 3.26% |
Mean Travel Time to Work, see rank| 89523 Zip Code | 16.9 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.
