in this research we examine aspect of the interdependence between economic development and the use of environmental
and natural resources assets from global data published by United Nations. For that purpose, we used data mining techniques. Data mining techniques applied in the thesis were 1) Group Methods of Data Handling (GMDH), Weighted Least Square, and Association Rules. Data sets for the research were taken from World development Indicator 2003, and from www.nationmaster.com. The results showed that the corruption index was strongly related to the urban SO
2 concentration. The corruption index along with NO
x emission has big contribution to the debt of the home country to the foreign country. The mortality of children under five years old depended on sanitation, and water facilities, as obtained by GMDH. However, obtained by Weighted Least Square by stepwise showed that the mortality rate of children under five years old dependent on annual deforestation, particulate matter, national protected area, with the big contribution is from annual deforestation.