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Results by Race/Ethnicity

 




The California Index of Child and Youth Well-Being
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Results by Race/Ethnicity

 

When applied to racial/ethnic groups for which enough data are available (African Americans, Asians, Latinos, and Caucasians), the California Index of Child and Youth Well-Being shows similar gains for these four groups, as the table below notes. However, rates of improvement were more variable at the regional level - in Los Angeles County and the Bay Area.

Rate of Improvement from 1995 to 2006 in the Child and Youth Well-Being Index, by Race/Ethnicity:
(Improvement from each region's 1995 base)

Calif.

LA

Bay Area

African Americans
+13%
+14%
+3%
Asians
+15%
+19%
+15%
Latinos
+12%
+13%
+9%
Caucasians
+12%
+15%
+10%

 

 

 

 


 

View Charts by Race/Ethnicity:

It's important to remember that the starting point– that is, the 100 value in 1995 – is relative to each race/ethnicity. This means that a 9% improvement for Latino children in the Bay Area doesn't necessarily mean that these children, on the whole, are faring better than African American children in the Bay Area, whose well-being improved by comparatively less, 3%. However, these results do indicate that Latino children in the Bay Area made more progress in well-being from 1995-2006 than African American children in the Bay Area.

 

Racial/Ethnic Disparities Among California's Children

 

 

 

 

 

 

 

 

 

 

 

This graph shows disparities over time for each racial/ethnic group compared to Caucasians, in three regions: Los Angeles County, the Bay Area, and California. For example, Asian children consistently are faring better than Caucasian children, while African American kids consistently are faring worse.

 

In addition to measuring rates of improvement in overall child well-being, separate indices were created to measure disparities in levels of well-being among California's racial/ethnic groups.

Using these "disparity indices," there are some noticeable gaps between racial/ethnic groups - and these hold true across all three regions. Moreover, these disparities persisted over time, as the graph to the right shows.

In this graph, Caucasian children are used as the contrast group (although any racial/ethnic group could be used for comparative purposes) to illustrate how African Americans, Asians, and Latino children each compare to Caucasian children.

If California's African American and Caucasian children were faring equally well over time, this graph would show a straight line at 0, signifying that neither race/ethnicity had an advantage over the other. The negative scores (represented by the blue lines) mean that there was a persistent disparity between the two race/ethnicities (-49 points in 1995 for California and just slightly better, -47 points, in 2006) with Caucasians consistently faring better. In Los Angeles County, the gap between African American and Caucasian children didn't improve much from 1995 to 2006, while in the Bay Area, the gap worsened, from -46 points in 1995 to -59 points in 2006.

However, the gap between Latino and Caucasian children (represented by the pink/orange lines) in California was not nearly so large (-2 points for Latinos in 2006, compared to -47 points for African American children). In Los Angeles County, Latino children fared slightly better than Caucasian children (+4 points) in 2006, and in the Bay Area, Latino children, on the whole, were faring worse in 2006 than Caucasian children (-12 points).

By contrast, Asian children (represented by the green lines) consistently fared better than Caucasian children - by about 38 points in California over the 11 years studied. Asian children in the Bay Area and Los Angeles County also were doing better than their Caucasian counterparts, according to this measure.

For details about how these race/ethnicity disparities were calculated, see the full report's methodology section.

 

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