In the present study, an attempt has been made to determine regional inequalities in agricultural development among districts of Western Odisha at block levels. A sample of six districts of Western Odisha namely Nuapada, Jharsuguda, Boudh, Sundargarh, Sambalpur, and Baragarh out of ten districts of western Odisha was selected by the method of Simple random sampling. The “Statistical Abstract of various regions in Western Odisha: 2019-20”, The Directorate of Economics and Statistics (DES) was the major source of data utilized for the purpose of the study. The method of Principal Component Analysis is employed and ten main components were extracted out of fifteen indicators which were tested as Normally distributed by Kolmogorov Smirnov tests. The three Quartiles Q 1, Q 2, and Q 3 of the Normal probability distributions have been used to divide fifty blocks into four homogeneous groups namely Meteoric, Progressive, Mediocre, and Laggard on the basis of their composite index scores. The above four mentioned groups are found to be significantly different with respect to Agricultural area in hectors, Yield rate in quintal/hectors and Production in quintals by oneway ANOVA test. A random sample of five blocks is selected from each group to compare the degree of inequality by computing the Gini concentration ratio (GCR)to take policy decisions at block levels.