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 year 2009, according to its rotation Susenas module is the module on socio-cultural and education. Module of Susenas samples as many as of 291,888 households are the same as Core Susenas so that the estimated numbers are expected to be obtained up to the level of district/city. Field implementation like last year shall be conducted by a team of one (1) Team Coordinator (Teamcoord) and two (2) Enumerators (PCS). By this system, it is expected that the field implementation can be accelerated and the quality result of field census can be improved.
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 2009 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
v02: revision of the raw data. Edited data by BPS
1. The types of data collected by Core questionnaire (VSEN2009.K) covers the following:
a. General information on household members (art), that includes name, relation to the head of household, gender, age, and marital status.
b. Health information, among others is the health condition of the residences including the toddlers.
c. Education information of household members aged 5 years and above.
d. Employment activities information of member aged 10 years and above.
e. Information on fertility of women who had married and how to prevent pregnancies for the married women.
f. Housing information, among others control over ownership of residence, floor size, drinking water source, and toilet facility.
g. Information on the average of household consumption/expenditure of households and the main source of their income.
h. Other socioeconomic information, among others concerning the usage of poor people empowerment programs (raskin/rice for the poor, health card and the likes), utilization of credit facility, availability of health care benefit (Jamkes) and the progress of daily food requirement of the households.
The types of data collected by questionnaires consumption module include:
a. Information about the quantity and value of consumption of food, beverages, and tobacco both purchase and own production or delivery. Consumption of food, beverages, and tobacco covers 215 commodities are divided into 14 groups.
b. Information about household expenditure on non-food items, including housing and households facilities, miscellaneous goods and services, clothing, footwear, and headgear, durable goods, taxes, fees, and insurance, as well as expenditures for purposes of party and ceremonies. Non-food consumption includes details of 108 divided into 6 groups.
c. Information about income, revenues, and expenditures not consumption, includes income from wages or salaries, income from business, income is not the ownership of the business, and receipts or income, expenditure transfers and financial transactions.
Victims of Crime
National coverage, representative to the district level
Implementation Panel Susenas 2009 includes 68,800 household samples spread across 4,300 census blocks selected in the entire province. Panel household samples Susenas 2009 were the same household on the implementation of the Panel Susenas 2008. Enumeration results data can be presented both national and provincial levels.
Producers and sponsors
Central Bureau of Statistics (BPS) of Indonesia
Design of 2009 Susenas sampling is a two-phase sampling design. Sampling for urban area and rural area is to be conducted separately. Procedure of 2009 Susenas sampling for a district/city is as follows:
• Phase 1, from master sampling frame (MSF) of normal census block of 2006 Economic Census result (SE06) are to be selected census block nh (h = 1, for urban; h = 2, for rural) in a probability proportional to size (pps) method whereas size is the number of households from P4B census result (April 2003). For census block that has contents of more than 150 households, selection of one census sub-block in PPS-systematic is required with the size of household number of P4B census result. Household listing is conducted to all selected census blocks/sub-blocks.
• Phase 2, from every selected census blocks/sub-blocks, then, to be selected m = 16 households from the listing result systematically.
All 2009 Susenas selected households will be enumerated with core questionnaire (VSEN2009.K List) and questionnaire of socio-cultural and educational module (VSEN2009.MSBP List) in July 2009.
Dates of Data Collection
Data Collection Mode
Sub Directorate Services and Promotion Statistics
Central Board of Statistics (BPS) of Indonesia
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 2009, ref. IDN_2009_SUSENAS-MAR_v01_M. Data downloaded from www.microdatalib.worldbank.org in Desember 20, 2012
Disclaimer and copyrights
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.