Staunton City County Historical Median Household Income by Races Data
ACS 2010-2014 data
| Staunton City County | Virginia | U.S. |
White | $41,384, see rank | $69,851 | $56,900 |
Black | $32,757, see rank | $44,288 | $35,600 |
Hispanic | $31,875, see rank | $60,459 | $42,396 |
Asian | $38,750, see rank | $94,223 | $73,244 |
Two or More Races | $27,235, see rank | $65,164 | $47,621 |
ACS 2008-2012 data
| Staunton City County | Virginia | U.S. |
White | $44,656, see rank | $68,751 | $56,203 |
Black | $31,302, see rank | $43,803 | $35,564 |
Hispanic | $49,808, see rank | $59,245 | $41,994 |
Asian | $38,950, see rank | $89,847 | $71,709 |
One Race, Other | $52,950, see rank | $56,457 | $40,405 |
Two or More Races | $26,488, see rank | $62,690 | $46,787 |
ACS 2006-2010 data
| Staunton City County | Virginia | U.S. |
White | $44,821, see rank | $66,357 | $54,999 |
Black | $24,063, see rank | $42,468 | $35,194 |
Hispanic | $26,533, see rank | $57,793 | $41,534 |
Asian | $49,018, see rank | $83,569 | $68,950 |
American Indian, Alaska Native | $42,500, see rank | $49,234 | $36,779 |
Two or More Races | $46,094, see rank | $58,010 | $45,781 |
ACS 2005-2009 data
| Staunton City County | Virginia | U.S. |
White | $44,085, see rank | $65,252 | $54,535 |
Black | $25,054, see rank | $41,925 | $34,445 |
Hispanic | $43,173, see rank | $57,544 | $40,946 |
Asian | $48,125, see rank | $82,867 | $68,458 |
American Indian, Alaska Native | $53,068, see rank | $45,855 | $36,520 |
Two or More Races | $43,173, see rank | $55,245 | $45,012 |
US Census 2000 data
| Staunton City County | Virginia | U.S. |
White | $34,510, see rank | $50,530 | $44,687 |
Black | $22,265, see rank | $32,269 | $29,423 |
Hispanic | $37,885, see rank | $46,281 | $33,676 |
American Indian, Alaska Native | $3,750, see rank | $42,667 | $30,599 |
One Race, Other | $13,500, see rank | $45,169 | $32,694 |
Two or More Races | $46,154, see rank | $41,765 | $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.