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General Household Survey 2015 - South Africa

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Abstract --------------------------- The GHS replaced the October Household Survey (OHS) which was introduced in 1993 and was terminated in 1999. The survey is an omnibus household-based instrument aimed at determining the progress of development in the country. It measures, on a regular basis, the performance of programmes as well as the quality of service delivery in a number of key service sectors in the country. The GHS covers six broad areas, namely education, health and social development, housing, household access to services and facilities, food security, and agriculture. Geographic coverage --------------------------- National Analysis unit --------------------------- Households Universe --------------------------- The target population of the survey consists of all private households in all nine provinces of South Africa and residents in workers' hostels. The survey does not cover other collective living quarters such as students' hostels, old-age homes, hospitals, prisons and military barracks, and is therefore only representative of non-institutionalised and non-military persons or households in South Africa. Kind of data --------------------------- Sample survey data [ssd] Sampling procedure --------------------------- The General Household Survey (GHS) uses the Master Sample frame which has been developed as a general-purpose household survey frame that can be used by all other Stats SA household-based surveys having design requirements that are reasonably compatible with the GHS. The GHS 2015 collection was based on the 2013 Master Sample. This Master Sample is based on information collected during the 2011 Census conducted by Stats SA. In preparation for Census 2011, the country was divided into 103,576 enumeration areas (EAs). The census EAs, together with the auxiliary information for the EAs, were used as the frame units or building blocks for the formation of primary sampling units (PSUs) for the Master Sample, since they covered the entire country and had other information that is crucial for stratification and creation of PSUs. There are 3,324 primary sampling units (PSUs) in the Master Sample with an expected sample of approximately 33,000 dwelling units (DUs). The number of PSUs in the current Master Sample (3,324) reflect an 8,0% increase in the size of the Master Sample compared to the previous (2008) Master Sample (which had 3,080 PSUs). The larger Master Sample of PSUs was selected to improve the precision (smaller coefficients of variation, known as CVs) of the GHS estimates. The Master Sample is designed to be representative at provincial level and within provinces at metro/non-metro levels. Within the metros, the sample is further distributed by geographical type. The three geography types are Urban, Tribal and Farms. This implies, for example, that within a metropolitan area, the sample is representative of the different geography types that may exist within that metro. The sample for the GHS is based on a stratified two-stage design with probability proportional to size (PPS) sampling of PSUs in the first stage, and sampling of dwelling units (DUs) with systematic sampling in the second stage. Caution must be exercised when interpreting the results of the GHS at low levels of disaggregation. The sample and reporting are based on the provincial boundaries as defined in December/January 2006. These new boundaries resulted in minor changes to the boundaries of some provinces, especially Gauteng, North West, Mpumalanga, Limpopo, Eastern Cape and Western Cape. In previous reports the sample was based on the provincial boundaries as defined in 2001, and there will therefore be slight comparative differences in terms of provincial boundary definitions. Mode of data collection --------------------------- Face-to-face [f2f] Cleaning operations --------------------------- The questionnaires were scanned and processed. Editing and imputation was done using a combination of manual and automated editing procedures. Response rate --------------------------- Average response rate of 99 percent Data appraisal --------------------------- A comprehensive detail about the editing process can be found in the GHS 2015 report (P0318) attached to the external resources.

摘要 --------------------------- GHS(综合家庭调查)取代了1993年引入并于1999年终止的十月家庭调查(OHS)。该调查是一项旨在衡量国家发展进步的综合家庭调查工具。它定期衡量国家关键服务部门的项目绩效以及服务质量。GHS涵盖六个广泛领域,即教育、健康和社会发展、住房、家庭对服务和设施的可及性、粮食安全和农业。 地理覆盖范围 --------------------------- 全国 分析单元 --------------------------- 家庭 总体 --------------------------- 调查的目标人口包括南非所有九个省的所有私人家庭和工人宿舍居民。该调查不包括其他集体居住地,如学生宿舍、养老院、医院、监狱和军事营房,因此仅代表南非非制度化和非军事人员或家庭。 数据类型 --------------------------- 样本调查数据 [ssd] 抽样程序 --------------------------- 综合家庭调查(GHS)采用主样本框架,该框架被开发为一种通用家庭调查框架,可用于所有其他Stats SA家庭调查,其设计要求与GHS的合理兼容。2015年GHS收集工作基于2013年的主样本。该主样本基于Stats SA在2011年进行的人口普查期间收集的信息。为了准备2011年的人口普查,国家被划分为103,576个普查区(EA)。普查区及其辅助信息被用作主样本形成一级抽样单位(PSU)的框架单位或构建块,因为它们覆盖了整个国家,并且拥有对分层和PSU创建至关重要的其他信息。主样本中有3,324个一级抽样单位(PSU),预计样本量为约33,000个住宅单位(DU)。当前主样本中PSU的数量(3,324)与之前(2008年)的主样本(有3,080个PSU)相比,增加了8.0%。更大的主样本PSU数量被选中,以提高GHS估计的精度(较小的变异系数,称为CV)。 主样本旨在在省级层面以及省内都市/非都市层面具有代表性。在都市内,样本根据地理类型进一步分配。三种地理类型是城市、部落和农场。这意味着,例如,在一个都市区域内,样本代表了该都市内可能存在的不同地理类型。GHS的样本基于分层两阶段设计,第一阶段采用与规模成比例的概率(PPS)抽样PSU,第二阶段采用住宅单位的系统抽样。在低层次细分时解释GHS结果时必须谨慎。样本和报告基于2006年12月/1月定义的省级边界。这些新的边界导致某些省份的边界发生微小变化,特别是豪登省、北西省、姆普马兰加省、林波波省、东开普省和西开普省。在之前的报告中,样本基于2001年定义的省级边界,因此将在省级边界定义方面存在轻微的比较差异。 数据收集方式 --------------------------- 面对面 [f2f] 清理操作 --------------------------- 问卷被扫描和处理。编辑和插补是通过手动和自动化编辑程序的组合进行的。 响应率 --------------------------- 平均响应率为99% 数据评估 --------------------------- 有关编辑过程的详细信息,请参阅附于外部资源的GHS 2015报告(P0318)。
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