Small Area Estimation (SAE) is a statistical technique to estimate parameters of subpopulation containing small size of samples. This technique is very important to be developed in Indonesia due to the higher needs of subpopulation data in the reform era in which decentralization has become a central issue. Indonesian Bureau of Statistics (BPS) regularly conducts surveys such as “SUSENAS, SAKERNAS, SUSI, etc” apart from census which is carried out every decade and PODES which is carried out every three years. Some SAE techniques have been developed in Canada, USA, and UE based on real data. Since our data in Indonesia posses specific characteristics it is necessary to develop SAE methods suitable for the data. Simulation data is used to evaluate various standard SAE techniques and real data from Susenas 2003 and Podes 2003 for West Java Province is utilized to illustrate the method.