87059 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 87059 Zip Code | New Mexico | U.S. |
| Workers 16 Years and Over | 4,547, 100% | 869,118 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 3,652, 80.32%, see rank | 79.33% | 76.41% |
| Car, Truck, or Van—Carpooled | 502, 11.04%, see rank | 10.46% | 9.59% |
| Public Transportation | 15, 0.33%, see rank | 1.15% | 5.06% |
| Walked | 7, 0.15%, see rank | 2.24% | 2.78% |
| Other Means | 97, 2.13%, see rank | 2.03% | 1.79% |
| Worked at Home | 274, 6.03%, see rank | 4.79% | 4.37% |
Mean Travel Time to Work, see rank| 87059 Zip Code | 31.8 minutes |
| New Mexico | 21.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 87059 Zip Code | New Mexico | U.S. |
| Workers 16 Years and Over | 4,670, 100% | 873,552 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 3,691, 79.04%, see rank | 78.41% | 76.14% |
| Car, Truck, or Van—Carpooled | 610, 13.06%, see rank | 11.34% | 10.03% |
| Public Transportation | 16, 0.34%, see rank | 1.07% | 4.98% |
| Walked | 30, 0.64%, see rank | 2.35% | 2.82% |
| Other Means | 76, 1.63%, see rank | 1.88% | 1.76% |
| Worked at Home | 247, 5.29%, see rank | 4.94% | 4.27% |
Mean Travel Time to Work, see rank| 87059 Zip Code | 34.1 minutes |
| New Mexico | 21.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 87059 Zip Code | New Mexico | U.S. |
| Workers 16 Years and Over | 5,301, 100% | 759,177 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 4,004, 75.53%, see rank | 75.76% | 75.70% |
| Car, Truck, or Van—Carpooled | 833, 15.71%, see rank | 14.82% | 12.19% |
| Public Transportation | 0, 0.00%, see rank | 0.80% | 4.73% |
| Walked | 35, 0.66%, see rank | 2.82% | 2.93% |
| Other Means | 61, 1.15%, see rank | 1.58% | 1.19% |
| Worked at Home | 368, 6.94%, see rank | 4.21% | 3.26% |
Mean Travel Time to Work, see rank| 87059 Zip Code | 36.2 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.
