89110 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 89110 Zip Code | Nevada | U.S. |
| Workers 16 Years and Over | 28,131, 100% | 1,225,882 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 20,662, 73.45%, see rank | 78.04% | 76.41% |
| Car, Truck, or Van—Carpooled | 4,827, 17.16%, see rank | 10.94% | 9.59% |
| Public Transportation | 1,143, 4.06%, see rank | 3.59% | 5.06% |
| Walked | 383, 1.36%, see rank | 2.07% | 2.78% |
| Other Means | 663, 2.36%, see rank | 2.11% | 1.79% |
| Worked at Home | 453, 1.61%, see rank | 3.26% | 4.37% |
Mean Travel Time to Work, see rank| 89110 Zip Code | 27.1 minutes |
| Nevada | 23.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 89110 Zip Code | Nevada | U.S. |
| Workers 16 Years and Over | 28,308, 100% | 1,223,670 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 20,956, 74.03%, see rank | 78.07% | 76.14% |
| Car, Truck, or Van—Carpooled | 4,597, 16.24%, see rank | 11.25% | 10.03% |
| Public Transportation | 1,135, 4.01%, see rank | 3.40% | 4.98% |
| Walked | 316, 1.12%, see rank | 2.08% | 2.82% |
| Other Means | 839, 2.96%, see rank | 2.02% | 1.76% |
| Worked at Home | 465, 1.64%, see rank | 3.19% | 4.27% |
Mean Travel Time to Work, see rank| 89110 Zip Code | 26.9 minutes |
| Nevada | 23.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 89110 Zip Code | Nevada | U.S. |
| Workers 16 Years and Over | 25,118, 100% | 923,155 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 18,357, 73.08%, see rank | 74.46% | 75.70% |
| Car, Truck, or Van—Carpooled | 4,602, 18.32%, see rank | 14.72% | 12.19% |
| Public Transportation | 1,109, 4.42%, see rank | 3.95% | 4.73% |
| Walked | 347, 1.38%, see rank | 2.69% | 2.93% |
| Other Means | 337, 1.34%, see rank | 1.59% | 1.19% |
| Worked at Home | 366, 1.46%, see rank | 2.59% | 3.26% |
Mean Travel Time to Work, see rank| 89110 Zip Code | 24.9 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.
