87801 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 87801 Zip Code | New Mexico | U.S. |
| Workers 16 Years and Over | 3,240, 100% | 869,118 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 2,482, 76.60%, see rank | 79.33% | 76.41% |
| Car, Truck, or Van—Carpooled | 198, 6.11%, see rank | 10.46% | 9.59% |
| Public Transportation | 8, 0.25%, see rank | 1.15% | 5.06% |
| Walked | 251, 7.75%, see rank | 2.24% | 2.78% |
| Other Means | 220, 6.79%, see rank | 2.03% | 1.79% |
| Worked at Home | 81, 2.50%, see rank | 4.79% | 4.37% |
Mean Travel Time to Work, see rank| 87801 Zip Code | 13.7 minutes |
| New Mexico | 21.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 87801 Zip Code | New Mexico | U.S. |
| Workers 16 Years and Over | 3,272, 100% | 873,552 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 2,428, 74.21%, see rank | 78.41% | 76.14% |
| Car, Truck, or Van—Carpooled | 213, 6.51%, see rank | 11.34% | 10.03% |
| Public Transportation | 13, 0.40%, see rank | 1.07% | 4.98% |
| Walked | 362, 11.06%, see rank | 2.35% | 2.82% |
| Other Means | 178, 5.44%, see rank | 1.88% | 1.76% |
| Worked at Home | 78, 2.38%, see rank | 4.94% | 4.27% |
Mean Travel Time to Work, see rank| 87801 Zip Code | 12.8 minutes |
| New Mexico | 21.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 87801 Zip Code | New Mexico | U.S. |
| Workers 16 Years and Over | 4,346, 100% | 759,177 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 2,978, 68.52%, see rank | 75.76% | 75.70% |
| Car, Truck, or Van—Carpooled | 550, 12.66%, see rank | 14.82% | 12.19% |
| Public Transportation | 11, 0.25%, see rank | 0.80% | 4.73% |
| Walked | 460, 10.58%, see rank | 2.82% | 2.93% |
| Other Means | 182, 4.19%, see rank | 1.58% | 1.19% |
| Worked at Home | 165, 3.80%, see rank | 4.21% | 3.26% |
Mean Travel Time to Work, see rank| 87801 Zip Code | 14.4 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.
