Data badan pusat statistik indonesia
7 of 1960 on Statistics as a substitute for Statistiek Ordonantie 1934. On 26 September 1960 the government of Indonesia enacted Law No. CKS was renamed to Shomubu Chosasitsu Gunseikanbu. In June 1942, the Government of Japan reactivated statistical activities focused on meeting the needs of war or military. On 24 September 1924, the name of the institution was replaced by the name Centraal Kantoor voor de Statistiek (CKS) or the Central Statistics Office and the institution was moved to Jakarta. The commission is tasked with planning actions to ensure the achievement of unity in statistical activities in Indonesia. In March 1923, a commission called the Commission for Statistics was formed to represent members of each department. The Government of the Dutch East Indies, February 1920 The Statistical Office was first established by the Director of Agriculture and Trade ( Directeur van Landbouw Nijverheid en Handel) and was based in Bogor. Statistics Indonesia also assists data processing divisions in other public offices to support and to promote standard statistical methods. Its functions include providing data to other governmental institutes as well as to the public and conducting statistical surveys to publish periodic statistics on economy, social change and development. Annual surveys include national and provincial socio-economics, manufacturing establishments, population and the labour force.Įstablished in 1960 as the Central Bureau on Statistics ( Indonesian: Biro Pusat Statistik), the institute is directly responsible to the President of Indonesia. Its main customer is the government, but statistical data is also available to the public. SUSENAS selected households in March 2008 is a sample panel for Susenas implementation in July 2008, March 2009 and March 2010.Statistics Indonesia, locally known as BPS ( Indonesian: Badan Pusat Statistik, literally Central Agency on Statistics), is a non-departmental government institute of Indonesia that is responsible for conducting statistical surveys. Listing and sampling of households in the census block is a subsample SUSENAS 2008 (July 2008) was conducted in early February 2008 for the implementation of the census in March 2008.
Sampling was carried out in a systematic census blocks. The sample size for the estimation of the national provincial total 4,300 census blocks covering 68,800 households. Provincial estimation (Panel Susenas) samples to estimate the provincial level is the subsample of SUSENAS 2008 (July 2008). The whole household was selected Susenas 2008 will be enumerated with the core questionnaire and questionnaire module consumption / expenditure and implemented in July 2008. The second phase, from each selected census blocks were selected as the staircase m 16 = systematic listing of results. Household listing conducted on all selected census blocks. For census block payload of more than 150 households, it is necessary to the selection of the PPS-subblok systematic census with the number of household size P4B enumeration results. The first stage of a master sampling frame (MSF) regular census block 2006 Economic Census (SE06) selected census blocks nh (h = 1, for urban, h = 2, for rural areas) the probability proportional to size (pps) with size number of household enumeration results P4B (April 2003). Sampling procedures Susenas 2008 for a county / city are as follows: Sampling for urban and rural areas is done separately. SUSENAS 2008 draft sampling plan sampling is two-phased. July 2008 Susenas preparatory activities carried out in early 2008, includes workshops and training Intama Innas which aims to harmonize the concepts / definitions and procedures and implementation of the survey. With the completion of the system is expected to Iebih field quickly and the quality of the field results can be better.
In addition, the implementation team conducted field officers consists of the Coordinating Team (Kortim) and some enumerators. In 2008, the number sampei Susenas expanded to 285 904 households with Susenas choir that poverty and its characteristics can be obtained through the district / city.
In order to provide these data the Central Statistics Agency (BPS) implement the National Social Economic Survey nearly every year since 1963. These data are very useful for the government to plan the development of sectoral and cross-sectoral. The data required for development planning such as educational data, health, housing, consumer / household expenses, and other socioeconomic.