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Change Indicator

Children who are not in excellent or very good health by race and ethnicity in United States

Children who are not in excellent or very good health by race and ethnicity

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Definition and Source

PROVIDER

Definition

Children were included if the respondent answered "good", "fair", or "poor" to the following question: In general, how would you describe the child's health? (options: excellent, very good, good, fair, poor)

Data Source

Child Trends analysis of data from the U.S. Department of Health and Human Services, Health Resources and Services Administration, Maternal and Child Health Bureau, National Survey of Children’s Health. 

The state-level data used here come from the National Survey of Children’s Health (NSCH). The NSCH includes information on over 102,000 children under age 18, with roughly 2,000 children per state. Households were selected through a random-digit-dial sample, and one child was randomly selected in each household. Information on each child is based on responses of the parent or guardian in the household who was most knowledgeable about the sampled child’s health. Information was collected via a computer-assisted telephone interview. For more information on the NSCH, see http://www.cdc.gov/nchs/about/major/slaits/nsch.htm

Data for the 2011-2012 NSCH were collected February 2011 through June 2012. Additionally, cell phones were contacted for the first time in 2011-2012, so trend comparisons should be made with caution.

Notes

Updated October 2015.
S - Estimates suppressed when the relative standard error was greater than or equal to 30%, indicating small sample sizes. 
N.A. – Data not available.
The category “Asian and Pacific Islander” only includes Pacific Islanders in the data for Hawaii. All racial categories are mutually exclusive. Children with two or more races were not included as a separate category in the 2011-2012 NSCH. Children missing racial/ethnic data were included in totals.
Percentages exclude missing data. Weighted percentages were applied to the estimates of those missing to derive overall estimates for the number of children.

Last Updated

October 2015