Indonesia’s Unified Database (UDB): rationalising a fragmented system

The Unified Data Base for Social Protection Programs (UDB) was created to improve the targeting system of Indonesia’ s poverty alleviation programs. It is expected to result in social assistance programs better complementing one another and for assistance to effectively reach those in need. The database is managed within a 20-staff unit of the National Team for the Acceleration of Poverty Reduction (TNP2K). The UDB covers 25.2 million households (96 million individuals) in more than 77,000 villages nationwide. At least five national programmes use the UDB (health insurance, scholarship, CCT, rice subsidy programme and temporary UCT). To date, approximately 350 local governments have requested UDB data, including for improving their targeting system of locally owned poverty reduction program. Data collection is conducted by Statistics Indonesia, which has updated data every three years since 2005. Detailed socioeconomic information was collected on 25.2 million households (40% population) identified using the poverty mapping or small area estimates methodology combined with community suggestions. Data is then subjected to a Proxy Means Test (PMT) to determine four levels of poverty, used in combination with programe level criteria for targeting.