from a new pew survey:
– About 15% of all new marriages in the United States in 2010 were between spouses of a different race or ethnicity from one another, more than double the share in 1980 (6.7%). Among all newlyweds in 2010, 9% of whites, 17% of blacks, 26% of Hispanics and 28% of Asians married out. Looking at all married couples in 2010, regardless of when they married, the share of intermarriages reached an all-time high of 8.4%.
– Gender patterns in intermarriage vary widely. About 24% of all black male newlyweds in 2010 married outside their race, compared with just 9% of black female newlyweds…. Intermarriage rates among white and Hispanic newlyweds do not vary by gender.
– [W]hite/Asian newlyweds of 2008 through 2010 have significantly higher median combined annual earnings ($70,952) than do any other pairing, including both white/white ($60,000) and Asian/Asian ($62,000). When it comes to educational characteristics, more than half of white newlyweds who marry Asians have a college degree, compared with roughly a third of white newlyweds who married whites. Among Hispanics and blacks, newlyweds who married whites tend to have higher educational attainment than do those who married within their own racial or ethnic group.
– Couples formed between an Asian husband and a white wife topped the median earning list among all newlyweds in 2008-2010 ($71,800)…. As for white female newlyweds, those who married a Hispanic or black husband had somewhat lower combined earnings than those who “married in,” while those who married an Asian husband had significantly higher combined earnings.
– Intermarriage in the United States tilts West. About one-in-five (22%) of all newlyweds in Western states married someone of a different race or ethnicity between 2008 and 2010, compared with 14% in the South, 13% in the Northeast and 11% in the Midwest.
– Several studies using government data have found that overall divorce rates are higher for couples who married out than for those who married in….
looks like a big report. lots to read. and data, too (state-by-state even)!
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