Health Insurance: Uninsured Children, by State, 2005-2007 Page: 2 of 6

CRS-2

Table 1 provides private health insurance,2 public health insurance,3 and uninsured
estimates with percentage rankings for children by state. The right side of the table
indicates whether a state's three-year average uninsured rate for children is statistically
lower (shown with a "-"), statistically higher (shown with a "+"), or not statistically
different (shown with a "x") than the national rate of 11.5%.4
Both private and public health insurance affect a state's uninsured rate. For example,
as shown in Table 1, Maine and New Hampshire have similarly low uninsured rates.
However, New Hampshire has the highest three-year average private coverage rate for
children in the country (81.4%) and the third-lowest public coverage rate (18.1%). On the
other hand, Maine has a much lower three-year average private coverage rate for children
(67.3%), and a public coverage rate (36.0%) that is roughly double that of New
Hampshire. Thus, even though there are differences regarding whether children in Maine
and New Hampshire obtain private or public health insurance, the impact is that both have
similarly low three-year average uninsured rates.
Estimates with 95% Confidence Intervals. The estimates in this report are
based on data from the March 2006, 2007, and 2008 supplements to the Current
Population Survey (CPS).6 The CPS is representative of the civilian, noninstitutionalized
population and is designed to produce reliable estimates at the national, regional, and state
levels.
The small sample sizes available from the CPS for many states, especially when
examining a subset of the sample such as children under the age of 19, make it prudent
to use a three-year average and consider state-level estimates in terms of a range of values.
Like Table 1, Table 2 shows the best point estimates, or single values, for the average
number and percentage of children covered and not covered by health insurance. The
table also reports a range of values - the 95% confidence interval - for these estimates.
The larger the confidence interval in relation to the size of the estimate, the less reliable
the estimate. The size of the range depends primarily on the sample size. A 95%
confidence interval means that if repeated samples were collected under essentially the
same conditions and their confidence intervals calculated, in the long run about 95% of
those intervals would contain the true number of children with (or without) health
insurance.
2 Coverage through an employer or union, all coverage from outside the home, and coverage
purchased directly from a private insurer.
3 Medicare, Medicaid, the State Children's Health Insurance Program (SCHIP), and other
government-provided health insurance, as well as coverage related to employment in the military.
4 Statistical significance was tested at the 95% confidence level (also referred to as the 5%
significance level). This means that one can be 95% certain that the difference between a state's
uninsured rate and the national rate is not zero (i.e., the state's rate is statistically higher or lower)
or could be zero (i.e., the state's rate is not statistically different).
s Their uninsured rates are statistically lower than the national rate and are not statistically
different from each other.
6 Because the supplement is now fielded from February through April, it has been officially
renamed the Annual Social and Economic supplement (ASEC) to the CPS, though many analysts
continue to refer to it by its traditional name.

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Peterson, Chris L. & Grady, April. Health Insurance: Uninsured Children, by State, 2005-2007, report, August 29, 2008; Washington D.C.. (https://digital.library.unt.edu/ark:/67531/metadc810606/m1/2/ocr/: accessed August 5, 2021), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT Libraries Government Documents Department.

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