OBJECTIVES: Analyze the data for statistically significant trends in comparison between DRG 234 and the general population. METHODS: An experimental dataset is created by combining the data pertaining to DRG 234 with an equally sized random sample (excluding DRG 234) dataset, resulting in an experimental dataset of 5558 patients’ entries.  These data come from the 2007 Healthcare Cost and Utilization Project (HCUP) Kids Inpatient Database (KID).  Using commercial Statistical Analysis Software (SAS Enterprise Guide) and code native to SAS, various analysis techniques will be used to describe statistical trends in these data. RESULTS: A one-way frequency analysis shows that DRG 234 has a disproportionately high occurrence in the Hispanic population, 18.58 % in the control group compared to 12.76% in the experimental group. A frequency count also shows that these diagnoses most often occur before the first birthday – this is a result of many ICD 9 codes being congenital muscoskeletal disorders categorized under DRG 234.  The diagnoses and procedures grouped under DRG 234 tend to result in a shorter stay but are more costly in terms of total charges. Linear models suggest that the total charges to Asian or Pacific Islander patients tend to be higher than the other racial categories' mean total charges. CONCLUSIONS: It is suggested that further study is completed in analyzing the relationship between age, race, diagnoses and procedures to determine a definite relationship between those variables. Particular subjects that may be worthwhile to investigate are: The percentage of congenital conditions in Hispanic infants compared to the rest of the population, the particular diagnoses and procedure codes and their typical costs and occurrences for the different racial categories, and an analysis of how the various procedure and diagnosis codes being categorized in an 'other' group might skew the data, thereby introducing difficulties in the modeling process.