Since 1992, BPS through Susenas collecting core data and the module data every year. Susenas modules is divided into three major groups, that is module socio-cultural and educational, modules housing and health, module household consumption and household expenditure, implementation of each module is every three years.
Data required in the development planning among others is data of education, health, housing, consumption/expenditure of household. Such data is very useful for the Government in the planning of either sector or cross-sector development. In order to provide such data, Central Statistical Agency (BPS) conducts National Socioeconomic Survey (Susenas) almost every year since 1963. Susenas data currently is also the data that is highly required to fulfill the Millennium Development Goals (MDG’s) data.
In 2010, Susenas core was organized with a sample size of 304,368 households. By the number, they expected to obtain the estimation number up to districts or cities level. The implementation field as last year, was done in teams, each team consisting of 1 (one) Coordinator Team and 2 (two) counter (PCS). With the system, they expected that the completion field can be more quickly and the quality of the field enumeration can be better.
Lately BPS is demanded to be able to present data up to the smallest level namely sub-district (kecamatan) level and even to village level. This requirement of data is inseparable from the quality data results. For 2010 Susenas, presentation up to the level of district/city might cause problems if the samples are not met (high RSE) or rare cases that cannot represent, so that the data do not correspond to the actual condition. To anticipate this, there is an activity that have to be conducted by District/City BPS or Provincial BPS namely verification of data quality prior to sending / presenting data to BPS. This activity is critical as BPS data quality depends on data quality generated by District/City BPS as well as Provincial BPS. In order to achieve an accurate and timely data, coordination between units in the regions seems very influential.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Household Members (Individual) and Household
v01: basic raw data. Obtained from BPS
The types of data collected by core questionnaires:
a. General information of household members (art) i.e. name, relationship to head of household, sex, age, marital status, birth certificates of ownership and participation in the toddler pre-school education for the population aged 0-6 years.
b. Information about health for all ages, including state of health, disease duration, and manner of treatment facilities.
c. Information about infant health, including birth helper, immunization, breastfeeding and duration, as well as data on the ownership certificate.
d. Information of education of household members above 5 years includes the participation of schools, education, ownership certificate, participation activities Paket A / B / C and literacy.
e. Information about the employment of household members aged 10 years and over, covering the main activity, looking a job, industry, employment status, and wage/ salary received from the main job
f. Information about fertility for women ever married; include the age of marriage, children born / living, participation in the family planning program (KB), and the use of contraceptives.
g. Housing information include the mastery of residence, the physical condition of residential buildings, residential buildings and facilities.
h. Information on household expenditures includes expenditures for food and non-food expenditure.
i. Information of others socio-economic, include facilities use of community development projects (Raskin, health cards and the like), the utilization of credit facilities and overseas labor issues.
j. Information and communication technologies such as telephone ownership, mobile phone, computer, and internet access.
Victims of Crime
National coverage, representative to the district level
Susenas core was organized with a sample size of 304,368 households. By the number, they expected to obtain the estimation number up to districts or cities level.
Producers and sponsors
Central Bureau of Statistics (BPS) of Indonesia
Sampling design for 2010 Susenas is a structured two-phase sampling. To be used as the structure is the Village/kelurahan classification: urban and rural. Specified sample size is for city/district estimation. Inter-structure sampling is performed independently. Prior to sampling, census blocks are sorted according to census block types, which are regular residence, luxurious residence and slums.
Sampling procedure of 2010 Susenas for a city/district is as follows:
1) First phase, select nh census blocks from nh in a probability proportional to size (pps) method, whereas size is the number of households.
2) Second phase, systemically select a number of regular households (m = 16) from each selected census block based on the SP2010 list. Census will be performed on all 2010 Susenas 2010 selected households by core questionnaire (VSEN2010.K list) on July 2010.
Dates of Data Collection
Data Collection Mode
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
Statistic Indonesia (BPS), National Socio-Economic Survey 2010, ref. IDN_2010_SUSENAS-JUL_v01_M. Data downloaded from www.microdatalib.worldbank.org in December 20, 2012
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.