Wabasha County Historical Median Household Income by Races Data
ACS 2010-2014 data
| | Wabasha County | Minnesota | U.S. |
| White | $56,324, see rank | $63,127 | $56,900 |
| Hispanic | $41,304, see rank | $41,674 | $42,396 |
| American Indian, Alaska Native | $25,000, see rank | $32,161 | $37,170 |
| One Race, Other | $42,313, see rank | $39,673 | $40,300 |
| Two or More Races | $29,250, see rank | $43,451 | $47,621 |
ACS 2008-2012 data
| | Wabasha County | Minnesota | U.S. |
| White | $53,799, see rank | $61,349 | $56,203 |
| Black | $52,857, see rank | $29,003 | $35,564 |
| Hispanic | $35,938, see rank | $40,933 | $41,994 |
| American Indian, Alaska Native | $17,344, see rank | $30,538 | $37,469 |
| One Race, Other | $16,625, see rank | $40,868 | $40,405 |
| Two or More Races | $19,453, see rank | $44,100 | $46,787 |
ACS 2006-2010 data
| | Wabasha County | Minnesota | U.S. |
| White | $51,234, see rank | $59,396 | $54,999 |
| Black | $41,786, see rank | $28,595 | $35,194 |
| Hispanic | $26,392, see rank | $40,163 | $41,534 |
| Asian | $178,083, see rank | $60,371 | $68,950 |
ACS 2005-2009 data
| | Wabasha County | Minnesota | U.S. |
| White | $52,374, see rank | $58,801 | $54,535 |
| Black | $41,250, see rank | $28,913 | $34,445 |
| Hispanic | $26,322, see rank | $40,068 | $40,946 |
| Asian | $175,662, see rank | $60,277 | $68,458 |
| One Race, Other | $16,061, see rank | $40,537 | $40,521 |
| Two or More Races | $92,694, see rank | $43,358 | $45,012 |
US Census 2000 data
| | Wabasha County | Minnesota | U.S. |
| White | $42,130, see rank | $48,288 | $44,687 |
| Black | $11,875, see rank | $28,926 | $29,423 |
| Hispanic | $36,944, see rank | $35,933 | $33,676 |
| Asian | $48,875, see rank | $45,520 | $51,908 |
| American Indian, Alaska Native | $77,500, see rank | $28,533 | $30,599 |
| One Race, Other | $43,750, see rank | $34,081 | $32,694 |
| Two or More Races | $41,500, see rank | $34,227 | $35,587 |
* 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.
