Significance tests help to determine whether the differences between sub groups are statistically significant or if they could have occurred by chance. Testing the significance of a sample proportion is used to answer whether the breakdown sample proportion is significantly greater or smaller than the total population proportion (one-tail test). Colouring the values of groups significantly higher or lower than the total values makes it easier to distinguish them visually. Our significance tests use Significance Level 0.05 (5%) as the standard, the most commonly used level in statistical testing. The significance test level refers to the predetermined thresholds used to determine whether the statistical test results are considered statistically significant. A significance level of 0.05 indicates a 5% chance (1 in 20) of rejecting the null hypothesis when it is true (Type I error). Other common Significance Levels are 0.01 (1%) (lower probability of making Type I errors) and 0.1 (10%) (lower probability of making Type I errors).