87004 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 87004 Zip Code | New Mexico | U.S. |
| Workers 16 Years and Over | 4,099, 100% | 869,118 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 3,382, 82.51%, see rank | 79.33% | 76.41% |
| Car, Truck, or Van—Carpooled | 377, 9.20%, see rank | 10.46% | 9.59% |
| Public Transportation | 78, 1.90%, see rank | 1.15% | 5.06% |
| Walked | 101, 2.46%, see rank | 2.24% | 2.78% |
| Other Means | 51, 1.24%, see rank | 2.03% | 1.79% |
| Worked at Home | 110, 2.68%, see rank | 4.79% | 4.37% |
Mean Travel Time to Work, see rank| 87004 Zip Code | 23.7 minutes |
| New Mexico | 21.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 87004 Zip Code | New Mexico | U.S. |
| Workers 16 Years and Over | 4,311, 100% | 873,552 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 3,485, 80.84%, see rank | 78.41% | 76.14% |
| Car, Truck, or Van—Carpooled | 482, 11.18%, see rank | 11.34% | 10.03% |
| Public Transportation | 74, 1.72%, see rank | 1.07% | 4.98% |
| Walked | 104, 2.41%, see rank | 2.35% | 2.82% |
| Other Means | 45, 1.04%, see rank | 1.88% | 1.76% |
| Worked at Home | 121, 2.81%, see rank | 4.94% | 4.27% |
Mean Travel Time to Work, see rank| 87004 Zip Code | 20.9 minutes |
| New Mexico | 21.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 87004 Zip Code | New Mexico | U.S. |
| Workers 16 Years and Over | 3,188, 100% | 759,177 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 2,520, 79.05%, see rank | 75.76% | 75.70% |
| Car, Truck, or Van—Carpooled | 420, 13.17%, see rank | 14.82% | 12.19% |
| Public Transportation | 0, 0.00%, see rank | 0.80% | 4.73% |
| Walked | 89, 2.79%, see rank | 2.82% | 2.93% |
| Other Means | 79, 2.48%, see rank | 1.58% | 1.19% |
| Worked at Home | 80, 2.51%, see rank | 4.21% | 3.26% |
Mean Travel Time to Work, see rank| 87004 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.
