Clarke County Historical Median Household Income by Races Data
ACS 2010-2014 data
| | Clarke County | Alabama | U.S. |
| White | $42,083, see rank | $49,989 | $56,900 |
| Black | $20,301, see rank | $29,055 | $35,600 |
| Hispanic | $7,188, see rank | $34,763 | $42,396 |
ACS 2008-2012 data
| | Clarke County | Alabama | U.S. |
| White | $45,305, see rank | $49,618 | $56,203 |
| Black | $18,519, see rank | $28,316 | $35,564 |
| Hispanic | $8,315, see rank | $35,382 | $41,994 |
| Asian | $26,534, see rank | $53,768 | $71,709 |
| American Indian, Alaska Native | $70,250, see rank | $38,274 | $37,469 |
| One Race, Other | $2,499, see rank | $34,987 | $40,405 |
| Two or More Races | $27,750, see rank | $34,401 | $46,787 |
ACS 2006-2010 data
| | Clarke County | Alabama | U.S. |
| White | $43,402, see rank | $48,204 | $54,999 |
| Black | $15,629, see rank | $27,621 | $35,194 |
| Hispanic | $83,424, see rank | $35,234 | $41,534 |
| American Indian, Alaska Native | $67,955, see rank | $35,112 | $36,779 |
| Two or More Races | $29,444, see rank | $34,728 | $45,781 |
ACS 2005-2009 data
| | Clarke County | Alabama | U.S. |
| White | $41,609, see rank | $47,546 | $54,535 |
| Black | $16,013, see rank | $26,734 | $34,445 |
| Asian | $24,676, see rank | $51,563 | $68,458 |
| American Indian, Alaska Native | $56,023, see rank | $34,594 | $36,520 |
| Two or More Races | $29,821, see rank | $32,604 | $45,012 |
US Census 2000 data
| | Clarke County | Alabama | U.S. |
| White | $38,625, see rank | $38,539 | $44,687 |
| Black | $16,646, see rank | $21,782 | $29,423 |
| Hispanic | $19,844, see rank | $30,366 | $33,676 |
| Asian | $76,181, see rank | $42,007 | $51,908 |
| American Indian, Alaska Native | $11,250, see rank | $31,511 | $30,599 |
| Hawaiian Native | $16,250, see rank | $37,583 | $42,717 |
| One Race, Other | $23,625, see rank | $26,480 | $32,694 |
| Two or More Races | $38,194, see rank | $30,606 | $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.
