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Popular regional inequality indexes such as variation coefficient and Gini coefficient can only reveal overall inequal-it),, and have limited ability in revealing spatial dependence or spatial agglomeration.Recently some methods of exploratory spatial data analysis such as spatial autocorrelation have provid-ed effective tools to analyze spatial agglomeration and cluster, which can reveal the pattern of regional inequality.This article attempts to use spatial autocorrelation at county level to get refined spatial pattern of regional disparity in Chinese northeast economic region over 2000-2006 (2001 absent).The result in-dicates that the basic trend of regional economy is an increasing concentration of growth among counties in northeast economic region, and there are two geographical clusters of poorer coun-ties including the counties in western Liaoning Province and adjacent counties in Inner Mongolia, poorer counties of Heihe, Qiqihar and Suihua in Heilongjiang Province.This article also reveals that we can use the methods of exploratory spatial data analysis as the supplementary analysis methods in regional eco-nomic analysis.