This study provides a comparison of informative priors for unknown parameter variance of the normal distribution with known parameter mean. We have assumed four possible informative priors: Inverse chi-squared, Inverted Gamma, Levy and Gumbel type-II distributions for the variance of the normal distribution. The objective of study is to select suitable prior for normal variance. The comparison is based upon the posterior variances, coefficients of skewness, also on the basis of posterior predictive variances. Finally a suitable prior for the unknown variance of a normal distribution is recommended.