Monday, April 27, 2009

US Human Development Indices

I was struck by this table of Human Development Index values for different groups in the US. It looks like three different countries when broken out this way! There is one group clustered at 7.5 (Asians), another around 5.5 (Whites) and another around 3.5 to 4 (Blacks, Hispanics, Native Americans).

The indices are computed by this project, using US government data. See here for more, including a nice visualization with results by state, district, etc. Can the life expectancy of Native American and Latino women really be higher than for White women? Latino males also seem to have longer life expectancy than White males.



More on life expectancies of different regional and ethnic groups in the US here. (The researchers define 8 different Americas by race and geography or class.)

The gap between the life expectancy of the 3.4 million black males in high-risk urban areas in America 8 and the life expectancy for the 5.5 million Asian females in America 1 in 2001 was 20.7 y. Within the sexes, the gap between the best-off and the worst-off groups was 15.4 y for males (Asians versus blacks in high-risk urban areas) and 12.8 y for females (Asians versus low-income southern rural blacks). These gaps are 2.4 and 2.8 times those between white and black life expectancies for the nation as a whole for males and females, respectively. ...

The 12.8-y gap in life expectancy between females in Americas 1 and 7 is approximately the same as the gap between Japan, with the highest national life expectancy for females in 2001 (84.7 y), and Fiji, Nicaragua, and Lebanon [34]. Asian females in the US have a life expectancy that is 3 y higher than that of females in Japan [34]. For males, the 15.4-y gap in life expectancy between Asians (America 1) and high-risk urban blacks (America 8) is the same as between Iceland, with the highest national male life expectancy in 2001 (78.2 y), and Sao Tome, Belarus, and Uzbekistan [34]. In other words, millions of Americans, distinctly identified by their sociodemographic characteristics and place of residence, have life expectancies that are similar to some low-income developing countries (see also Figure 4B).

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