The cultural capital impacted on female education opportunities. The main purpose of this study uses the raw data which collected from the United Nation Educational, Scientific, and Cultural Organization (UNESCO ' 2000) and Education Statistics of the ROC (2001) about the ratio of male and female education in 1990/1996 year to understand the gender difference in worldwide, and uses the ratio of female primary, secondary, higher education, and the ratio of female/male in primary, secondary, higher education indicators to cluster the national development. The research results are as follows: first, the ratio of male and female primary education is significant difference about4.39 %,but others are not in 1990. Second, the ratio of gender in primary and higher education are significant difference about 4.56 %, 2.7 % respectively(male more female 1990 ), but the ratio of secondary education is not in 1996. Third, there are significant difference between 1990 and 1996 in the ratio of female primary, secondary, higher education about 2.6 %,9.19 %, 8.02 % respectively (1996 more than 1990) . Fourth, there are also significant difference between 1990 and 1996 in the ratio of male primary, secondary, higher education about 2.77%, 7.7%, 5.35%respectively (1996 more than 1990) . Fifth, because the indicators in analyzing are different, the countries into three groups in the Cluster Analysis, that is, high ratio of female education countries, middle ratio of female education countries, low ratio of female education countries are different. For instance, using six indicators in 1990 can cluster into three groups, that is, high ratio of female education countries, middle ratio of female education countries, low ratio of female education countries are23, 37 and 18, respectively. Sixth, in order to test the consistency of these clustering, the Discriminant Analysis is used to reclassify the 4 clustered countries. Above 95% of countries are correctly classified by the indicators. Seventh, the Spearman rank correlation is used to test the rank of the clustered countries by using 4 clustered countries. The correlation are between .767 to .899, and there are significant (p< .01), too. Finally, according to the discriminant scores of the ratio of female education, the ROC, Taiwan, all clusters are classified as a high ratio of female country.