Labour Force Survey 2001, February - South Africa

Abstract
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The LFS is a twice-yearly rotating panel household survey, specifically designed to measure the dynamics of employment and unemployment in South Africa. It measures a variety of issues related to the labour market,including unemployment rates (official and expanded), according to standard definitions of the International Labour Organisation (ILO).

All editions of the LFS have been updated (some more than once) since their release. These version changes are detailed in a document available from DataFirst (in the "external documents" section titled "LFS 2000-2008 Collated Version Notes on the South African LFS").

Geographic coverage
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National Coverage

Analysis unit
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Households (dwellings) and individuals

Universe
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The LFS sample covers the non-institutional population except for workers' hostels. However, persons living in private dwelling units within institutions are also enumerated. For example, within a school compound, one would enumerate the schoolmaster's house and teachers' accommodation because these are private dwellings. Students living in a dormitory on the school compound would, however, be excluded.

Kind of data
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Sample survey data [ssd]

Sampling procedure
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The sampling procedure for the LFS was a two-stage complex sample. The first stage was the selection with probability proportional to size of PSUs from the 1996 Census list of Enumerator Areas (EAs), to form the Master Sample of 1999. The 1999 Master Sample is thus based on the 1996 Population Census list of EAs and the measure of size used was the number of dwelling units per PSU. The second stage involved the systematic selection of 10 dwelling units from each of the selected PSUs. The Master Sample was stratified into 18 strata, i.e. 9 provinces and within each province by urban / non-urban.

The LFS is a twice-yearly rotating panel household survey. A rotating panel sample involves visiting the same dwelling units on a number of occasions (in this instance, five at most), and replacing a proportion of these dwelling units each round. New dwelling units are added to the sample to replace those that are taken out. The Master Sample is based on the 1996 Population Census of enumeration areas (EA) and the estimated number of dwelling units from the 1996 Population Census. A sample of 30 000 dwelling units was drawn from 3000 primary sampling units (PSUs) (that is 10 dwellingunits per enumerator area (EA)) from the Master Sample. A two-stage sampling procedure was applied and the sample was stratified, clustered and selected to meet the requirements of probability sampling. The Master Sample is based on the 1996 Population Census enumerator areas and the estimated number of dwelling units from the 1996 Population Census. The EAs were grouped within a province by urban/rural, and a disproportional sample of EAs was taken from each group (stratum). Within each explicit stratum the PSUs were stratified by simply arranging them in geographical order by District Council, Magisterial District and, within the magisterial district, by average household income (for formal urban areas and hostels) or EA. The allocated number of EAs was systematically selected with probability proportional to size in each stratum. The sample was explicitly stratified by province and area type (urban/rural).

The careful and scientific selection of the PSUs is the first stage of the sample selection. These identified PSUs must match those areas selected from 1996 census records. After boundary identification, the next stage was to list accurately all the dwelling units in the PSU. A PSU is either one EA from the Census or several EAs when the number of dwelling units in the base or originally selected EA from the census was found to have less than 100 dwelling units. Each EA should have approximately 150 dwelling units but it was found that many contained less than that. Thus, in some cases it has been found necessary to add EAs to the original EA to give our minimum requirement of 100 dwelling units in the first stage of primary sampling units (PSUs). PSUs in the Master Sample consist of 100 to 2445 dwelling units. Special dwellings such as all prisoners in prisons, patients in hospitals, people residing in boarding houses and hotels (whether temporary or semi-permanent), guest houses (whether catering or self-catering), schools and churches are excluded from the sample. The second stage of the sample selection is from the dwelling unit listing. A systematic sample of 10 dwelling units was drawn from each PSU. However, if there was growth of more than 20% in a PSU, then the sample size was increased systematically according to the proportion of growth in the PSU. The same dwellings will be visited on, at most, five different occasions. After this, new dwelling units will be included for interviewing from the same PSU.

The first pilot round of LFS fieldwork took place in February 2000, based on a probability sample of 10 000 dwelling units. The sample was increased to 30 000 dwelling units in September 2000. Both of these surveys were published as discussion documents. The third round took place in February 2001, using the same 30 000 dwelling units.

Mode of data collection
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Face-to-face [f2f]

摘要
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LFS是一项每半年进行一次的轮换面板家庭调查，专门设计用于衡量南非的就业和失业动态。该调查涵盖了与劳动力市场相关的诸多问题，包括根据国际劳工组织（ILO）的标准定义计算出的失业率（官方和扩展的）。

自发布以来，所有版本的LFS均进行了更新（部分版本更新超过一次）。这些版本变更的详细信息可在DataFirst提供的文档中找到，该文档位于“外部文档”部分的“LFS 2000-2008 综合版南非LFS版本注释”标题下。

地理覆盖范围
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全国范围

分析单位
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家庭（住宅）和个人

总体
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LFS样本覆盖了非机构人口，但不包括工人宿舍。然而，居住在机构内部私人住宅单位的人也被纳入统计。例如，在学校园区内，会统计校长的住宅和教师宿舍，因为这些是私人住宅。然而，居住在学校园区宿舍的学生则被排除在外。

数据类型
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样本调查数据 [ssd]

抽样程序
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LFS的抽样程序是一个两阶段的复杂样本。第一阶段是从1996年人口普查的普查区域（EA）名单中选择与规模成比例的概率样本的PSU，以形成1999年的主样本。因此，1999年的主样本基于1996年人口普查的普查区域名单和每个PSU的住宅单位数量。第二阶段涉及从每个选定的PSU中系统地选择10个住宅单位。主样本被分层为18个层，即9个省，以及每个省的城市/非城市。

LFS是一项每半年进行一次的轮换面板家庭调查。轮换面板样本涉及在多次访问相同的住宅单位（在此实例中，最多五次），并在每一轮中替换一部分这些住宅单位。新的住宅单位被添加到样本中，以替换那些被移除的单位。主样本基于1996年人口普查的普查区域和1996年人口普查估计的住宅单位数量。从主样本中抽取了3000个初级抽样单位（PSU）（即每个普查区域（EA）10个住宅单位）的30000个住宅单位样本。应用了两阶段抽样程序，样本被分层、聚类和选择，以满足概率抽样的要求。主样本基于1996年人口普查的普查区域和1996年人口普查估计的住宅单位数量。普查区域根据城市/农村在省内部进行了分组，并从每个组（层）中抽取了不成比例的普查区域样本。在每个显式层中，PSU通过简单地按地区委员会、司法管辖区以及在该司法管辖区内部按平均家庭收入（对于正式城市地区和宿舍）或普查区域进行地理顺序排列进行分层。在每个层中系统地按规模成比例地选择了分配的普查区域数量。样本明确按省份和区域类型（城市/农村）分层。

PSU的谨慎和科学选择是样本选择的第一阶段。这些确定的PSU必须与1996年普查记录中选择的区域相匹配。在边界识别之后，下一阶段是准确列出PSU中的所有住宅单位。PSU要么是来自普查的一个EA，要么是当普查基础或最初选择的EA中的住宅单位数量少于100时，多个EA。每个EA应大约有150个住宅单位，但发现许多包含的少于这个数量。因此，在某些情况下，发现有必要将EA添加到原始EA中，以在我们的初级抽样单位（PSU）第一阶段达到至少100个住宅单位的最小要求。主样本中的PSU由100到2445个住宅单位组成。排除在样本之外的特别住宅包括监狱中所有囚犯、医院中的病人、居住在寄宿学校和酒店（无论临时还是半永久性）的人、提供或自供餐的旅馆、学校和教堂。

样本选择的第二阶段是从住宅单位列表中进行的。从每个PSU中抽取了10个住宅单位的系统样本。然而，如果PSU的增长超过20%，则根据PSU的增长比例系统地增加样本量。最多将在五次不同场合访问相同的住宅。之后，将从相同的PSU中包括新的住宅单位进行访谈。

LFS的第一轮试点工作于2000年2月进行，基于10000个住宅单位的概率样本。样本在2000年9月增加到30000个住宅单位。这两次调查都作为讨论文件发表。第三轮于2001年2月进行，使用相同的30000个住宅单位。

数据收集方式
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面对面 [f2f]