Orangeburg Micro Area Historical Median Household Income by Races Data
ACS 2010-2014 data
| | Orangeburg Area | South Carolina | U.S. |
| White | $42,391, see rank | $52,089 | $56,900 |
| Black | $27,960, see rank | $29,971 | $35,600 |
| Hispanic | $24,167, see rank | $36,646 | $42,396 |
| Asian | $55,250, see rank | $54,865 | $73,244 |
| American Indian, Alaska Native | $33,661, see rank | $31,972 | $37,170 |
| One Race, Other | $35,097, see rank | $34,798 | $40,300 |
| Two or More Races | $25,536, see rank | $38,191 | $47,621 |
ACS 2008-2012 data
| | Orangeburg Area | South Carolina | U.S. |
| White | $44,789, see rank | $51,830 | $56,203 |
| Black | $27,368, see rank | $29,676 | $35,564 |
| Hispanic | $23,502, see rank | $36,190 | $41,994 |
| Asian | $64,250, see rank | $54,282 | $71,709 |
| American Indian, Alaska Native | $76,089, see rank | $32,673 | $37,469 |
| One Race, Other | $23,435, see rank | $35,466 | $40,405 |
| Two or More Races | $33,100, see rank | $37,885 | $46,787 |
ACS 2006-2010 data
| | Orangeburg Area | South Carolina | U.S. |
| White | $45,443, see rank | $51,141 | $54,999 |
| Black | $25,754, see rank | $28,899 | $35,194 |
| Hispanic | $23,290, see rank | $35,843 | $41,534 |
| Asian | $72,768, see rank | $50,349 | $68,950 |
| American Indian, Alaska Native | $35,682, see rank | $34,443 | $36,779 |
| One Race, Other | $15,616, see rank | $35,409 | $40,847 |
| Two or More Races | $53,718, see rank | $40,550 | $45,781 |
ACS 2005-2009 data
| | Orangeburg Area | South Carolina | U.S. |
| White | $44,761, see rank | $50,851 | $54,535 |
| Black | $25,873, see rank | $28,462 | $34,445 |
| Hispanic | $24,984, see rank | $35,995 | $40,946 |
| Asian | $91,000, see rank | $51,607 | $68,458 |
| American Indian, Alaska Native | $30,944, see rank | $33,128 | $36,520 |
| One Race, Other | $16,286, see rank | $35,163 | $40,521 |
| Two or More Races | $53,844, see rank | $38,066 | $45,012 |
* 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.
