87505 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 87505 Zip Code | New Mexico | U.S. |
| Workers 16 Years and Over | 14,501, 100% | 869,118 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 10,398, 71.71%, see rank | 79.33% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,343, 9.26%, see rank | 10.46% | 9.59% |
| Public Transportation | 182, 1.26%, see rank | 1.15% | 5.06% |
| Walked | 531, 3.66%, see rank | 2.24% | 2.78% |
| Other Means | 540, 3.72%, see rank | 2.03% | 1.79% |
| Worked at Home | 1,507, 10.39%, see rank | 4.79% | 4.37% |
Mean Travel Time to Work, see rank| 87505 Zip Code | 17.2 minutes |
| New Mexico | 21.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 87505 Zip Code | New Mexico | U.S. |
| Workers 16 Years and Over | 14,525, 100% | 873,552 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 10,287, 70.82%, see rank | 78.41% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,336, 9.20%, see rank | 11.34% | 10.03% |
| Public Transportation | 332, 2.29%, see rank | 1.07% | 4.98% |
| Walked | 641, 4.41%, see rank | 2.35% | 2.82% |
| Other Means | 442, 3.04%, see rank | 1.88% | 1.76% |
| Worked at Home | 1,487, 10.24%, see rank | 4.94% | 4.27% |
Mean Travel Time to Work, see rank| 87505 Zip Code | 17.1 minutes |
| New Mexico | 21.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 87505 Zip Code | New Mexico | U.S. |
| Workers 16 Years and Over | 34,671, 100% | 759,177 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 25,209, 72.71%, see rank | 75.76% | 75.70% |
| Car, Truck, or Van—Carpooled | 5,551, 16.01%, see rank | 14.82% | 12.19% |
| Public Transportation | 435, 1.25%, see rank | 0.80% | 4.73% |
| Walked | 753, 2.17%, see rank | 2.82% | 2.93% |
| Other Means | 473, 1.36%, see rank | 1.58% | 1.19% |
| Worked at Home | 2,250, 6.49%, see rank | 4.21% | 3.26% |
Mean Travel Time to Work, see rank| 87505 Zip Code | 20.5 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.
