North Royalton, OH Historical Median Household Income by Races Data
ACS 2010-2014 data
| North Royalton, OH | Ohio | U.S. |
White | $68,653, see rank | $52,251 | $56,900 |
Black | $70,625, see rank | $27,909 | $35,600 |
Hispanic | $71,250, see rank | $37,644 | $42,396 |
Asian | $87,083, see rank | $69,172 | $73,244 |
Two or More Races | $45,179, see rank | $35,360 | $47,621 |
ACS 2008-2012 data
| North Royalton, OH | Ohio | U.S. |
White | $64,648, see rank | $51,545 | $56,203 |
Black | $50,729, see rank | $28,162 | $35,564 |
Hispanic | $37,314, see rank | $36,656 | $41,994 |
Asian | $84,281, see rank | $67,517 | $71,709 |
One Race, Other | $35,957, see rank | $34,627 | $40,405 |
Two or More Races | $62,019, see rank | $34,734 | $46,787 |
ACS 2006-2010 data
| North Royalton, OH | Ohio | U.S. |
White | $62,545, see rank | $50,462 | $54,999 |
Black | $25,469, see rank | $28,759 | $35,194 |
Hispanic | $73,088, see rank | $36,350 | $41,534 |
Asian | $105,389, see rank | $63,906 | $68,950 |
One Race, Other | $30,781, see rank | $34,723 | $40,847 |
Two or More Races | $63,889, see rank | $35,611 | $45,781 |
ACS 2005-2009 data
| North Royalton, OH | Ohio | U.S. |
White | $62,159, see rank | $50,198 | $54,535 |
Black | $25,511, see rank | $28,219 | $34,445 |
Hispanic | $71,302, see rank | $36,014 | $40,946 |
Asian | $76,806, see rank | $62,834 | $68,458 |
One Race, Other | $28,375, see rank | $34,160 | $40,521 |
Two or More Races | $61,458, see rank | $35,423 | $45,012 |
US Census 2000 data
| North Royalton, OH | Ohio | U.S. |
White | $57,324, see rank | $42,835 | $44,687 |
Black | $77,311, see rank | $26,619 | $29,423 |
Hispanic | $56,071, see rank | $33,133 | $33,676 |
Asian | $84,130, see rank | $49,266 | $51,908 |
American Indian, Alaska Native | $61,875, see rank | $30,982 | $30,599 |
One Race, Other | $31,250, see rank | $30,697 | $32,694 |
Two or More Races | $32,273, see rank | $31,041 | $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.