Rockingham Micro Area Historical Median Household Income by Races Data
ACS 2010-2014 data
| | Rockingham Area | North Carolina | U.S. |
| White | $38,379, see rank | $51,958 | $56,900 |
| Black | $25,121, see rank | $32,930 | $35,600 |
| Hispanic | $26,319, see rank | $34,938 | $42,396 |
| Asian | $68,839, see rank | $67,138 | $73,244 |
| American Indian, Alaska Native | $37,774, see rank | $31,471 | $37,170 |
| One Race, Other | $30,262, see rank | $32,177 | $40,300 |
| Two or More Races | $34,031, see rank | $38,158 | $47,621 |
ACS 2008-2012 data
| | Rockingham Area | North Carolina | U.S. |
| White | $37,632, see rank | $51,902 | $56,203 |
| Black | $20,383, see rank | $32,702 | $35,564 |
| Hispanic | $21,761, see rank | $34,359 | $41,994 |
| Asian | $90,662, see rank | $63,958 | $71,709 |
| American Indian, Alaska Native | $37,827, see rank | $30,945 | $37,469 |
| One Race, Other | $20,369, see rank | $31,596 | $40,405 |
| Two or More Races | $42,153, see rank | $38,806 | $46,787 |
ACS 2006-2010 data
| | Rockingham Area | North Carolina | U.S. |
| White | $34,866, see rank | $51,111 | $54,999 |
| Black | $20,810, see rank | $31,977 | $35,194 |
| Hispanic | $26,653, see rank | $34,523 | $41,534 |
| Asian | $14,783, see rank | $59,843 | $68,950 |
| American Indian, Alaska Native | $29,643, see rank | $30,736 | $36,779 |
| One Race, Other | $24,250, see rank | $32,068 | $40,847 |
| Two or More Races | $41,177, see rank | $37,281 | $45,781 |
ACS 2005-2009 data
| | Rockingham Area | North Carolina | U.S. |
| White | $35,010, see rank | $50,634 | $54,535 |
| Black | $20,894, see rank | $31,273 | $34,445 |
| Hispanic | $26,037, see rank | $34,447 | $40,946 |
| Asian | $38,571, see rank | $59,111 | $68,458 |
| American Indian, Alaska Native | $21,481, see rank | $30,942 | $36,520 |
| One Race, Other | $26,310, see rank | $31,792 | $40,521 |
| Two or More Races | $28,977, see rank | $36,993 | $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.
