87532 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 87532 Zip Code | New Mexico | U.S. |
| Workers 16 Years and Over | 7,793, 100% | 869,118 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 6,405, 82.19%, see rank | 79.33% | 76.41% |
| Car, Truck, or Van—Carpooled | 787, 10.10%, see rank | 10.46% | 9.59% |
| Public Transportation | 84, 1.08%, see rank | 1.15% | 5.06% |
| Walked | 52, 0.67%, see rank | 2.24% | 2.78% |
| Other Means | 212, 2.72%, see rank | 2.03% | 1.79% |
| Worked at Home | 253, 3.25%, see rank | 4.79% | 4.37% |
Mean Travel Time to Work, see rank| 87532 Zip Code | 22.5 minutes |
| New Mexico | 21.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 87532 Zip Code | New Mexico | U.S. |
| Workers 16 Years and Over | 7,503, 100% | 873,552 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 5,788, 77.14%, see rank | 78.41% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,141, 15.21%, see rank | 11.34% | 10.03% |
| Public Transportation | 93, 1.24%, see rank | 1.07% | 4.98% |
| Walked | 38, 0.51%, see rank | 2.35% | 2.82% |
| Other Means | 178, 2.37%, see rank | 1.88% | 1.76% |
| Worked at Home | 265, 3.53%, see rank | 4.94% | 4.27% |
Mean Travel Time to Work, see rank| 87532 Zip Code | 23.8 minutes |
| New Mexico | 21.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 87532 Zip Code | New Mexico | U.S. |
| Workers 16 Years and Over | 7,111, 100% | 759,177 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 5,022, 70.62%, see rank | 75.76% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,482, 20.84%, see rank | 14.82% | 12.19% |
| Public Transportation | 52, 0.73%, see rank | 0.80% | 4.73% |
| Walked | 155, 2.18%, see rank | 2.82% | 2.93% |
| Other Means | 82, 1.15%, see rank | 1.58% | 1.19% |
| Worked at Home | 318, 4.47%, see rank | 4.21% | 3.26% |
Mean Travel Time to Work, see rank| 87532 Zip Code | 25.4 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.
