The research aims to study the relationship between the health situation variables and a group of economic variables in Syria during the Period (2000-2011), as the research aims to create a mathematical model that illustrates the relationship between them using Canonical Analysis. The most significant results as follows: - There is a very strong and statistically significant correlation between health level variables and economic variables. - The result of canonical analysis shows that national income per capita is the most influential variable in health-level variables, followed by total investments, and hence average per capita gross domestic product, and then the revised rate of activity. - The result of canonical analysis shows that the average population per bed and crude mortality rate have a strong impact on economic variables. - We have come to build a mathematical model that represents the relationship between health level variables and economic variables.