INTRODUCTIONThis research project was carried out based on information and data collected through the 2007 Canadian Community Health Survey (CCHS). The main objective of this research project is to discover and compare the high risk of BMI among different spouses. status groups. In recent years, the growth of obese and overweight people has become a major crisis. Additionally, increasing BMI leads to cardiovascular problems. According to a recent article, married men and women have high BMIs. There is a direct relationship and positive correlation between marital status and BMI. In general, married people, especially those with children, who no longer care about attracting a partner and following a healthy diet, are likely to have a higher BMI. At the same time, divorced people tend to have a lower BMI due to the emotional and psychological problems they face in society. Individuals who live a single life tend to maintain a slim and fit body in order to attract people's attention and are therefore more likely to have the lowest BMI. This research mission will help determine which marital status group is at greatest risk of having a higher BMI and take the necessary steps to reduce BMI.HYPOTHESISThe main intention of this research project is to prove that Married individuals tend to have a higher BMI than those who are single or divorced. The responses received from people will help prove that married people are at risk of having a higher BMI. BODY MASS INDEX BMI is defined as weight in kilograms divided by height in meters squared. BMI was not calculated in pregnant and lactating women. Individuals with a BMI between 18.5 and 25 are considered...... middle of document ......533 compared to other groups. In general, 0.4533 is not the highest or lowest value, it is considered an average value. Considering previous research done by some statisticians and the overall assessment of the current case study, we can conclude that married people have the highest risk of BMI. Divorced and single people have the lowest BMI risk. SELF-ASSESSMENT The case study does not provide enough information on the age of the population and has too many missing values. Each variable has too many outliers and the sample size is huge. Since pregnant women are not included in the BMI calculation and many respondents did not answer questions about pregnancy, they would be considered outliers. If these outliers are removed from the case study, it will definitely affect and decrease the mean, median and mode. Distribution will be restricted.