Objective: The risk factors for myalgia were examined along with other data associated with these risk factors involving the hospital stay of patients with myalgia. Methods: Data were collected from hospitals around the United States through the NIS, and these data were narrowed down to those patients suffering from myalgia. These data were then analyzed using SAS Enterprise Guide 4. Data visualization techniques, logistic regression and linear models were used to achieve the desired results. Results: It was determined that females are the most abundant among myalgia sufferers with a peak age around 56. The male subjects with myalgia had a broad peak of 43 to 65 years of age. This condition has occurred in most women by the age of 58. It was also determined that the Asian/Pacific Islanders demonstrated a peak age of around 70 in comparison to the average age of 58.3. Asians have the lowest probability of accumulating less than $20,000 in total charges and Caucasians, African-Americans, and Native Americans have the highest. Asians also have the highest probability among the races of accumulating between $38,000 and $58,000 in charges. Caucasians were determined to have the least probability of staying less than five days in the hospital and Asians have the highest probability of staying between 11 and 16 days. A linear model revealed that the following DX and DRG codes are significant in predicting total charges and also surround heart and blood conditions: Transfusion of packed cells, anemia (unspecified), venous catheterization (not elsewhere classified), of native coronary artery, congestive heart failure (unspecified), and atrial fibrillation. Conclusion: There is currently limited data on the risk factors of myalgia and these results will hopefully be a start to learning more about the condition.