This paper examines the discrete probability distribution of the age
characteristic of the Veteran population in the US. The basis of the
examination is the American Community Survey (ACS) and the Social Security
Administrations (SSA) period life table for males in 2007. The ACS is
stratified to efficiently represent population elements including the
population of Veterans. The current Veteran population discrete probability
distribution for age is examined as a starting point. The survey also
supports examining the expected future age of Veteran discrete probability
distributions. The paper will show how to use an efficiently designed
stratified survey (the 1 year ACS) to support a simulation that moves that
population into the future and provides a basis for estimating future
population age distributions and their consequent impact on organization
cost and budget planning. Combining the processing of stratified survey data
with Operations Research tools (like the discrete event simulator) and
supporting subsequent analysis of results is a combined capability that is
not matched elsewhere.
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