Summerlin South, NV Historical Median Household Income by Races Data
ACS 2010-2014 data
| Summerlin South, NV | Nevada | U.S. |
White | $92,500, see rank | $54,736 | $56,900 |
Black | $140,466, see rank | $37,269 | $35,600 |
Hispanic | $85,972, see rank | $43,255 | $42,396 |
Asian | $84,886, see rank | $60,168 | $73,244 |
One Race, Other | $85,035, see rank | $42,351 | $40,300 |
Two or More Races | $105,797, see rank | $50,799 | $47,621 |
ACS 2008-2012 data
| Summerlin South, NV | Nevada | U.S. |
White | $86,693, see rank | $55,947 | $56,203 |
Black | $136,065, see rank | $40,414 | $35,564 |
Hispanic | $77,344, see rank | $44,039 | $41,994 |
Asian | $74,239, see rank | $62,217 | $71,709 |
One Race, Other | $68,828, see rank | $45,307 | $40,405 |
Two or More Races | $92,125, see rank | $51,990 | $46,787 |
ACS 2006-2010 data
| Summerlin South, NV | Nevada | U.S. |
White | $85,016, see rank | $57,567 | $54,999 |
Black | $81,528, see rank | $42,193 | $35,194 |
Hispanic | $85,313, see rank | $46,605 | $41,534 |
Asian | $67,123, see rank | $60,944 | $68,950 |
One Race, Other | $92,917, see rank | $48,772 | $40,847 |
Two or More Races | $45,489, see rank | $51,789 | $45,781 |
ACS 2005-2009 data
| Summerlin South, NV | Nevada | U.S. |
White | $84,475, see rank | $57,425 | $54,535 |
Black | $77,500, see rank | $42,257 | $34,445 |
Hispanic | $72,091, see rank | $46,634 | $40,946 |
Asian | $65,625, see rank | $61,167 | $68,458 |
One Race, Other | $77,422, see rank | $49,937 | $40,521 |
Two or More Races | $44,605, see rank | $51,797 | $45,012 |
US Census 2000 data
| Summerlin South, NV | Nevada | U.S. |
White | $66,067, see rank | $46,307 | $44,687 |
Black | $56,250, see rank | $33,627 | $29,423 |
Hispanic | $60,481, see rank | $38,040 | $33,676 |
Asian | $55,179, see rank | $46,328 | $51,908 |
One Race, Other | $51,250, see rank | $38,460 | $32,694 |
Two or More Races | $70,833, see rank | $39,520 | $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.