Welfare Statistics of Bima Municipality 2023

In the current era of Sustainable Development Goals (SDGs), Data Revolution, Big Data, and Nawacita, information on development achievements is the main data source for policy makers in planning national development. The National Socio-Economic Survey (Susenas) organized by BPS is a source of information to get an overview of the socio-economic conditions of society.Regional autonomy creates data needs up to the Regency/City level. This data is needed by district/city governments as a basis for formulating policies and evaluating development programs. In order to answer this need, starting in 2015, Susenas data collection was carried out in March with a sample of 300,000 households, making it possible to estimate at the district/city level. In addition, in 2023, the March Susenas sample size will be increased to 345,000 households.Susenas produces various cross-sector statistics including: school participation, reading and writing ability, APS, GER, and NER for the education sector; health problems, use of health insurance, smoking behavior, provision of immunizations for toddlers and breast milk for toddlers, birthing places and birth attendants, as well as family planning participation in the fields of health, fertility and family planning; living conditions, water sources for bathing and washing for residential areas; ownership of a cellphone, internet access in the use of information technology, as well as government assistance/programs for community welfare.Susenas also collects data on household consumption and expenditure for both food and non-food commodities. From this data, average household consumption and expenditure as well as average calorie and protein consumption per capita are obtained. Consumption and expenditure data detailed by commodity group can provide an overview of the consumption patterns of the population in an area.This publication presents statistics that are considered to adequately represent various fields and socio-economic conditions of society by considering the feasibility requirements for estimates at the Regency/City level as indicated by the Relative Standard Error (RSE) values ​​listed in the attachment.