87410 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 87410 Zip Code | New Mexico | U.S. |
| Workers 16 Years and Over | 7,749, 100% | 869,118 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 6,386, 82.41%, see rank | 79.33% | 76.41% |
| Car, Truck, or Van—Carpooled | 656, 8.47%, see rank | 10.46% | 9.59% |
| Public Transportation | 12, 0.15%, see rank | 1.15% | 5.06% |
| Walked | 74, 0.95%, see rank | 2.24% | 2.78% |
| Other Means | 158, 2.04%, see rank | 2.03% | 1.79% |
| Worked at Home | 463, 5.97%, see rank | 4.79% | 4.37% |
Mean Travel Time to Work, see rank| 87410 Zip Code | 25.2 minutes |
| New Mexico | 21.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 87410 Zip Code | New Mexico | U.S. |
| Workers 16 Years and Over | 7,597, 100% | 873,552 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 6,113, 80.47%, see rank | 78.41% | 76.14% |
| Car, Truck, or Van—Carpooled | 739, 9.73%, see rank | 11.34% | 10.03% |
| Public Transportation | 0, 0.00%, see rank | 1.07% | 4.98% |
| Walked | 84, 1.11%, see rank | 2.35% | 2.82% |
| Other Means | 136, 1.79%, see rank | 1.88% | 1.76% |
| Worked at Home | 525, 6.91%, see rank | 4.94% | 4.27% |
Mean Travel Time to Work, see rank| 87410 Zip Code | 25.4 minutes |
| New Mexico | 21.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 87410 Zip Code | New Mexico | U.S. |
| Workers 16 Years and Over | 6,928, 100% | 759,177 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 5,603, 80.87%, see rank | 75.76% | 75.70% |
| Car, Truck, or Van—Carpooled | 916, 13.22%, see rank | 14.82% | 12.19% |
| Public Transportation | 3, 0.04%, see rank | 0.80% | 4.73% |
| Walked | 82, 1.18%, see rank | 2.82% | 2.93% |
| Other Means | 102, 1.47%, see rank | 1.58% | 1.19% |
| Worked at Home | 222, 3.20%, see rank | 4.21% | 3.26% |
Mean Travel Time to Work, see rank| 87410 Zip Code | 24.2 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.
