New York, Northern New Jersey, Long Island Metro Area Historical Median Household Income by Races Data
ACS 2010-2014 data
| | New York, Northern New Jersey, Long Island Area | U.S. |
| White | $78,996, see rank | $56,900 |
| Black | $45,168, see rank | $35,600 |
| Hispanic | $43,866, see rank | $42,396 |
| Asian | $77,563, see rank | $73,244 |
| American Indian, Alaska Native | $39,520, see rank | $37,170 |
| Hawaiian Native | $54,468, see rank | $53,370 |
| One Race, Other | $38,959, see rank | $40,300 |
| Two or More Races | $54,783, see rank | $47,621 |
ACS 2008-2012 data
| | New York, Northern New Jersey, Long Island Area | U.S. |
| White | $77,285, see rank | $56,203 |
| Black | $45,048, see rank | $35,564 |
| Hispanic | $43,045, see rank | $41,994 |
| Asian | $75,598, see rank | $71,709 |
| American Indian, Alaska Native | $41,674, see rank | $37,469 |
| Hawaiian Native | $54,338, see rank | $54,938 |
| One Race, Other | $38,770, see rank | $40,405 |
| Two or More Races | $53,430, see rank | $46,787 |
ACS 2006-2010 data
| | New York, Northern New Jersey, Long Island Area | U.S. |
| White | $75,202, see rank | $54,999 |
| Black | $44,264, see rank | $35,194 |
| Hispanic | $42,316, see rank | $41,534 |
| Asian | $72,326, see rank | $68,950 |
| American Indian, Alaska Native | $42,377, see rank | $36,779 |
| Hawaiian Native | $59,318, see rank | $55,984 |
| One Race, Other | $38,337, see rank | $40,847 |
| Two or More Races | $53,037, see rank | $45,781 |
ACS 2005-2009 data
| | New York, Northern New Jersey, Long Island Area | U.S. |
| White | $74,648, see rank | $54,535 |
| Black | $43,691, see rank | $34,445 |
| Hispanic | $41,138, see rank | $40,946 |
| Asian | $72,081, see rank | $68,458 |
| American Indian, Alaska Native | $43,201, see rank | $36,520 |
| Hawaiian Native | $51,903, see rank | $54,650 |
| One Race, Other | $37,034, see rank | $40,521 |
| Two or More Races | $52,795, see rank | $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.
