89103 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 89103 Zip Code | Nevada | U.S. |
| Workers 16 Years and Over | 24,052, 100% | 1,225,882 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 17,142, 71.27%, see rank | 78.04% | 76.41% |
| Car, Truck, or Van—Carpooled | 2,925, 12.16%, see rank | 10.94% | 9.59% |
| Public Transportation | 2,365, 9.83%, see rank | 3.59% | 5.06% |
| Walked | 666, 2.77%, see rank | 2.07% | 2.78% |
| Other Means | 455, 1.89%, see rank | 2.11% | 1.79% |
| Worked at Home | 499, 2.07%, see rank | 3.26% | 4.37% |
Mean Travel Time to Work, see rank| 89103 Zip Code | 20.7 minutes |
| Nevada | 23.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 89103 Zip Code | Nevada | U.S. |
| Workers 16 Years and Over | 24,556, 100% | 1,223,670 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 16,964, 69.08%, see rank | 78.07% | 76.14% |
| Car, Truck, or Van—Carpooled | 3,657, 14.89%, see rank | 11.25% | 10.03% |
| Public Transportation | 2,112, 8.60%, see rank | 3.40% | 4.98% |
| Walked | 918, 3.74%, see rank | 2.08% | 2.82% |
| Other Means | 310, 1.26%, see rank | 2.02% | 1.76% |
| Worked at Home | 595, 2.42%, see rank | 3.19% | 4.27% |
Mean Travel Time to Work, see rank| 89103 Zip Code | 20.4 minutes |
| Nevada | 23.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 89103 Zip Code | Nevada | U.S. |
| Workers 16 Years and Over | 23,292, 100% | 923,155 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 16,459, 70.66%, see rank | 74.46% | 75.70% |
| Car, Truck, or Van—Carpooled | 3,528, 15.15%, see rank | 14.72% | 12.19% |
| Public Transportation | 1,696, 7.28%, see rank | 3.95% | 4.73% |
| Walked | 697, 2.99%, see rank | 2.69% | 2.93% |
| Other Means | 535, 2.30%, see rank | 1.59% | 1.19% |
| Worked at Home | 377, 1.62%, see rank | 2.59% | 3.26% |
Mean Travel Time to Work, see rank| 89103 Zip Code | 21.1 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.
