National Socio-Economic Survey 2009 - Indonesia

Abstract
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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.

Geographic coverage
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National coverage, representative to the district level

Analysis unit
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Household Members (Individual) and Household

Universe
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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.

Kind of data
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Sample survey data [ssd]

Sampling procedure
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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.

Mode of data collection
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Face-to-face

摘要
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在发展规划中，所需数据包括教育、卫生、住房和家庭消费/支出等数据。此类数据对于政府进行部门或跨部门发展规划极为有用。为了提供此类数据，自1963年以来，国家统计局（BPS）几乎每年都会进行全国社会经济调查（Susenas）。目前，Susenas数据也是为实现千年发展目标（MDG's）所需的重要数据。
在2009年，根据其轮换模块，Susenas模块是关于社会文化和教育的模块。Susenas样本的样本量为291,888户家庭，与核心Susenas相同，因此估计数有望达到区/市级别。去年实施的实地调查将由一名（1）团队协调员（Teamcoord）和两名（2）调查员（PCS）组成的团队进行。通过此系统，有望加快实地实施，并提高现场普查的质量。
最近，BPS被要求能够提供到最细粒度，即街道/乡镇级别，甚至到村庄级别的数据。这种数据需求与数据质量结果不可分割。对于2009年的Susenas，如果样本不足（高RSE）或罕见案例无法代表，那么达到区/市级别的数据可能存在问题，因此数据与实际情况不符。为了预防这种情况，必须由区/市级BPS或省级BPS进行一项活动，即在对BPS发送/呈现数据之前验证数据质量。这项活动至关重要，因为BPS的数据质量取决于区/市级BPS以及省级BPS生成的数据质量。为了实现准确及时的数据，区域单位之间的协调似乎具有非常重大的影响。
地理覆盖范围
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全国覆盖，代表到区级
分析单位
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家庭成员（个人）和家庭
总体
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2009年Susenas的实施面板包括68,800户家庭样本，分布在全省4,300个选定的普查小区中。2009年Susenas面板家庭样本与2008年Panel Susenas实施的家庭样本相同。调查结果数据可以在国家和省级层面进行展示。
数据类型
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样本调查数据[ssd]
抽样程序
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2009年Susenas的抽样设计是两阶段抽样设计。城市地区和农村地区的抽样应分别进行。2009年Susenas对区/市的抽样程序如下：
• 阶段1，从2006年经济普查结果（SE06）的正常普查小区的母抽样框架（MSF）中，根据P4B普查结果（2003年4月）的家庭数量，以大小比例抽样（pps）方法选择普查小区nh（h = 1，代表城市；h = 2，代表农村）。对于家庭数量超过150户的普查小区，需要以P4B普查结果的家庭数量为大小，在PPS-系统抽样中选择一个普查子小区。对所有选定的普查小区/子小区进行家庭登记。
• 阶段2，从每个选定的普查小区/子小区的登记结果中，然后系统性地选择m = 16户。
所有2009年Susenas选定的家庭将在2009年7月使用核心问卷（VSEN2009.K列表）和社会文化教育模块问卷（VSEN2009.MSBP列表）进行调查。
数据收集方式
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