88230 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 88230 Zip Code | New Mexico | U.S. |
| Workers 16 Years and Over | 2,238, 100% | 869,118 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 1,660, 74.17%, see rank | 79.33% | 76.41% |
| Car, Truck, or Van—Carpooled | 395, 17.65%, see rank | 10.46% | 9.59% |
| Public Transportation | 0, 0.00%, see rank | 1.15% | 5.06% |
| Walked | 25, 1.12%, see rank | 2.24% | 2.78% |
| Other Means | 23, 1.03%, see rank | 2.03% | 1.79% |
| Worked at Home | 135, 6.03%, see rank | 4.79% | 4.37% |
Mean Travel Time to Work, see rank| 88230 Zip Code | 21.3 minutes |
| New Mexico | 21.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 88230 Zip Code | New Mexico | U.S. |
| Workers 16 Years and Over | 2,407, 100% | 873,552 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 1,914, 79.52%, see rank | 78.41% | 76.14% |
| Car, Truck, or Van—Carpooled | 343, 14.25%, see rank | 11.34% | 10.03% |
| Public Transportation | 0, 0.00%, see rank | 1.07% | 4.98% |
| Walked | 31, 1.29%, see rank | 2.35% | 2.82% |
| Other Means | 24, 1.00%, see rank | 1.88% | 1.76% |
| Worked at Home | 95, 3.95%, see rank | 4.94% | 4.27% |
Mean Travel Time to Work, see rank| 88230 Zip Code | 26.1 minutes |
| New Mexico | 21.5 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 88230 Zip Code | New Mexico | U.S. |
| Workers 16 Years and Over | 1,829, 100% | 759,177 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 1,351, 73.87%, see rank | 75.76% | 75.70% |
| Car, Truck, or Van—Carpooled | 325, 17.77%, see rank | 14.82% | 12.19% |
| Public Transportation | 0, 0.00%, see rank | 0.80% | 4.73% |
| Walked | 50, 2.73%, see rank | 2.82% | 2.93% |
| Other Means | 22, 1.20%, see rank | 1.58% | 1.19% |
| Worked at Home | 81, 4.43%, see rank | 4.21% | 3.26% |
Mean Travel Time to Work, see rank| 88230 Zip Code | 18.7 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.
