87002 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 87002 Zip Code | New Mexico | U.S. |
| Workers 16 Years and Over | 7,770, 100% | 869,118 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 6,166, 79.36%, see rank | 79.33% | 76.41% |
| Car, Truck, or Van—Carpooled | 765, 9.85%, see rank | 10.46% | 9.59% |
| Public Transportation | 199, 2.56%, see rank | 1.15% | 5.06% |
| Walked | 182, 2.34%, see rank | 2.24% | 2.78% |
| Other Means | 130, 1.67%, see rank | 2.03% | 1.79% |
| Worked at Home | 328, 4.22%, see rank | 4.79% | 4.37% |
Mean Travel Time to Work, see rank| 87002 Zip Code | 26.8 minutes |
| New Mexico | 21.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 87002 Zip Code | New Mexico | U.S. |
| Workers 16 Years and Over | 8,236, 100% | 873,552 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 6,556, 79.60%, see rank | 78.41% | 76.14% |
| Car, Truck, or Van—Carpooled | 850, 10.32%, see rank | 11.34% | 10.03% |
| Public Transportation | 218, 2.65%, see rank | 1.07% | 4.98% |
| Walked | 222, 2.70%, see rank | 2.35% | 2.82% |
| Other Means | 45, 0.55%, see rank | 1.88% | 1.76% |
| Worked at Home | 345, 4.19%, see rank | 4.94% | 4.27% |
Mean Travel Time to Work, see rank| 87002 Zip Code | 25.7 minutes |
| New Mexico | 21.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 87002 Zip Code | New Mexico | U.S. |
| Workers 16 Years and Over | 7,939, 100% | 759,177 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 6,218, 78.32%, see rank | 75.76% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,175, 14.80%, see rank | 14.82% | 12.19% |
| Public Transportation | 25, 0.31%, see rank | 0.80% | 4.73% |
| Walked | 102, 1.28%, see rank | 2.82% | 2.93% |
| Other Means | 59, 0.74%, see rank | 1.58% | 1.19% |
| Worked at Home | 360, 4.53%, see rank | 4.21% | 3.26% |
Mean Travel Time to Work, see rank| 87002 Zip Code | 26.4 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.
