Myrtle Point, OR Historical Median Household Income by Races Data
ACS 2010-2014 data
| | Myrtle Point, OR | Oregon | U.S. |
| White | $36,282, see rank | $51,397 | $56,900 |
| Hispanic | $36,354, see rank | $39,723 | $42,396 |
| American Indian, Alaska Native | $17,083, see rank | $36,332 | $37,170 |
| Two or More Races | $75,179, see rank | $42,710 | $47,621 |
ACS 2008-2012 data
| | Myrtle Point, OR | Oregon | U.S. |
| White | $30,500, see rank | $50,832 | $56,203 |
| Hispanic | $32,614, see rank | $38,582 | $41,994 |
| Asian | $27,750, see rank | $60,487 | $71,709 |
| American Indian, Alaska Native | $26,364, see rank | $37,258 | $37,469 |
| Two or More Races | $48,889, see rank | $42,555 | $46,787 |
ACS 2006-2010 data
| | Myrtle Point, OR | Oregon | U.S. |
| White | $32,061, see rank | $50,093 | $54,999 |
| Hispanic | $28,750, see rank | $37,397 | $41,534 |
| Asian | $63,750, see rank | $59,136 | $68,950 |
| American Indian, Alaska Native | $35,000, see rank | $36,700 | $36,779 |
| One Race, Other | $6,793, see rank | $38,253 | $40,847 |
| Two or More Races | $46,406, see rank | $40,512 | $45,781 |
ACS 2005-2009 data
| | Myrtle Point, OR | Oregon | U.S. |
| White | $30,438, see rank | $49,846 | $54,535 |
| Hispanic | $50,227, see rank | $36,572 | $40,946 |
| Asian | $62,500, see rank | $58,582 | $68,458 |
| American Indian, Alaska Native | $26,250, see rank | $34,385 | $36,520 |
| One Race, Other | $6,944, see rank | $38,373 | $40,521 |
| Two or More Races | $46,607, see rank | $39,940 | $45,012 |
US Census 2000 data
| | Myrtle Point, OR | Oregon | U.S. |
| White | $27,607, see rank | $41,594 | $44,687 |
| Hispanic | $23,750, see rank | $31,914 | $33,676 |
| Asian | $11,250, see rank | $46,955 | $51,908 |
| American Indian, Alaska Native | $9,688, see rank | $30,735 | $30,599 |
| One Race, Other | $31,250, see rank | $31,128 | $32,694 |
| Two or More Races | $33,750, see rank | $32,376 | $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.
