87113 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 87113 Zip Code | New Mexico | U.S. |
| Workers 16 Years and Over | 7,670, 100% | 869,118 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 6,065, 79.07%, see rank | 79.33% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,016, 13.25%, see rank | 10.46% | 9.59% |
| Public Transportation | 177, 2.31%, see rank | 1.15% | 5.06% |
| Walked | 59, 0.77%, see rank | 2.24% | 2.78% |
| Other Means | 249, 3.25%, see rank | 2.03% | 1.79% |
| Worked at Home | 104, 1.36%, see rank | 4.79% | 4.37% |
Mean Travel Time to Work, see rank| 87113 Zip Code | 20.5 minutes |
| New Mexico | 21.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 87113 Zip Code | New Mexico | U.S. |
| Workers 16 Years and Over | 8,336, 100% | 873,552 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 6,847, 82.14%, see rank | 78.41% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,021, 12.25%, see rank | 11.34% | 10.03% |
| Public Transportation | 65, 0.78%, see rank | 1.07% | 4.98% |
| Walked | 90, 1.08%, see rank | 2.35% | 2.82% |
| Other Means | 168, 2.02%, see rank | 1.88% | 1.76% |
| Worked at Home | 145, 1.74%, see rank | 4.94% | 4.27% |
Mean Travel Time to Work, see rank| 87113 Zip Code | 20.0 minutes |
| New Mexico | 21.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 87113 Zip Code | New Mexico | U.S. |
| Workers 16 Years and Over | 3,574, 100% | 759,177 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 2,955, 82.68%, see rank | 75.76% | 75.70% |
| Car, Truck, or Van—Carpooled | 446, 12.48%, see rank | 14.82% | 12.19% |
| Public Transportation | 0, 0.00%, see rank | 0.80% | 4.73% |
| Walked | 17, 0.48%, see rank | 2.82% | 2.93% |
| Other Means | 108, 3.02%, see rank | 1.58% | 1.19% |
| Worked at Home | 48, 1.34%, see rank | 4.21% | 3.26% |
Mean Travel Time to Work, see rank| 87113 Zip Code | 19.2 minutes |
| New Mexico | 21.2 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.
