Pipestone County Historical Median Household Income by Races Data
ACS 2010-2014 data
| Pipestone County | Minnesota | U.S. |
White | $47,460, see rank | $63,127 | $56,900 |
Hispanic | $31,912, see rank | $41,674 | $42,396 |
American Indian, Alaska Native | $27,125, see rank | $32,161 | $37,170 |
One Race, Other | $9,079, see rank | $39,673 | $40,300 |
Two or More Races | $29,028, see rank | $43,451 | $47,621 |
ACS 2008-2012 data
| Pipestone County | Minnesota | U.S. |
White | $45,864, see rank | $61,349 | $56,203 |
Hispanic | $30,284, see rank | $40,933 | $41,994 |
American Indian, Alaska Native | $23,750, see rank | $30,538 | $37,469 |
One Race, Other | $9,779, see rank | $40,868 | $40,405 |
Two or More Races | $33,281, see rank | $44,100 | $46,787 |
ACS 2006-2010 data
| Pipestone County | Minnesota | U.S. |
White | $41,900, see rank | $59,396 | $54,999 |
Hispanic | $9,615, see rank | $40,163 | $41,534 |
Asian | $38,417, see rank | $60,371 | $68,950 |
American Indian, Alaska Native | $15,667, see rank | $31,033 | $36,779 |
One Race, Other | $9,423, see rank | $41,291 | $40,847 |
Two or More Races | $30,703, see rank | $44,955 | $45,781 |
ACS 2005-2009 data
| Pipestone County | Minnesota | U.S. |
White | $39,574, see rank | $58,801 | $54,535 |
Hispanic | $30,500, see rank | $40,068 | $40,946 |
Asian | $38,563, see rank | $60,277 | $68,458 |
American Indian, Alaska Native | $16,289, see rank | $32,669 | $36,520 |
One Race, Other | $30,750, see rank | $40,537 | $40,521 |
Two or More Races | $28,611, see rank | $43,358 | $45,012 |
US Census 2000 data
| Pipestone County | Minnesota | U.S. |
White | $32,036, see rank | $48,288 | $44,687 |
Black | $26,250, see rank | $28,926 | $29,423 |
Hispanic | $24,063, see rank | $35,933 | $33,676 |
Asian | $41,250, see rank | $45,520 | $51,908 |
American Indian, Alaska Native | $11,944, see rank | $28,533 | $30,599 |
Two or More Races | $24,375, 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.