South African Census 2011, 10% Sample - South Africa

Abstract
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Censuses are principal means of collecting basic population and housing statistics required for social and economic development, policy interventions, their implementation and evaluation. The Post-Apartheid South African government has conducted three Censuses, in 1996, 2001 and 2011.

Geographic coverage
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The South African Census 2011 has national coverage.

Analysis unit
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Households and individuals

Universe
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The South African Census 2011 covered every person present in South Africa on Census Night, 9-31 October 2011 including all de jure household members and residents of institutions.

Kind of data
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Census/enumeration data

Sampling procedure
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The sampling frame for the PES was the complete list of Census 2011 EAs, amounting to 103 576 EAs. The primary sampling units (PSUs) were the Census EAs. The principle for selecting the PES sample is that the EA boundaries for sampled EAs should have well defined boundaries, and these boundaries should correspond with those of Census EAs to allow for item-by-item comparison between the Census and PES records. The stratification and sampling process followed will allow for the provision of estimates at national, provincial, urban (geography type = urban) and non-urban (geography type = farm and traditional) levels, but estimates will only be reliable at national and provincial levels. The sample of 600 EAs was selected and allocated to the provinces based on expected standard errors which were based on those obtained in PES 2001. Populations in institutions (other than Workers' Hostels), floating and homeless individuals were excluded from the PES sample.

The data files in the dataset include Household, Person, and Mortality files. The 10% sample for the Mortality data file was sampled separately and is not the same as the 10% sample for Household file and Person file.

Mode of data collection
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Face-to-face

Research instrument
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Three sets of questionnaires were developed for Census 2011:
1. Questionnaire A - the household questionnaire - administed to the population in a household set-up including those households that were found within an institution, such as staff residences
2. Questionnaire B - the population in transit (departing) and those on holiday on reference night (9/10 October 2011). The homeless were also enumerated using this set of questions
3. Questionnaire C - the institutions questionnaire administered to the population in collective living quarters (people who spent census night 9/10 October 2011 at the institution)

A Post-Enumeration Survey was carried out after the census, which used a PES questionnaire.

Sampling error estimates
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Comparison of Census 2011 with previous Censuses requires alignment of the data to 2011 municipal boundaries
Questions on disability asked in former censuses were replaced in census 2011 with General health and functioning questions.
Misreporting on general health and functioning for children younger than five years means data for this variable are only profiled for persons five years and older.

Data appraisal
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The dataset does not have a code list for the “geotype” variable which has 3 values (1,2,3).

摘要
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人口普查是收集基本人口和住房统计数据的主要手段，这些数据对于社会经济发展、政策干预及其实施与评估至关重要。南非后种族隔离政府已进行了三次人口普查，分别于1996年、2001年和2011年进行。
地理覆盖范围
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南非2011年人口普查具有全国覆盖范围。
分析单元
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家庭和个人
总体
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南非2011年人口普查覆盖了2011年10月9日至31日夜间在南非境内的每一个人，包括所有法定家庭成员和机构居民。
数据类型
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人口普查/登记数据
抽样程序
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PES的抽样框架是2011年人口普查完整的小区域名单，共计103,576个小区域。主要抽样单元（PSU）是人口普查小区域。选择PES样本的原则是，样本小区域边界应界定清晰，并且这些边界应与人口普查小区域的边界相一致，以便在人口普查和PES记录之间进行逐项比较。遵循的分层和抽样过程将允许提供国家、省级、城市（地理类型=城市）和非城市（地理类型=农场和传统）层面的估计，但估计仅在国家和省级层面可靠。根据在PES 2001中获得的标准误差预期值，选定了600个小区域样本，并按省分配。除了工人宿舍外的机构人口、流动人员和无家可归者被排除在PES样本之外。
数据集中的数据文件包括家庭、人员和死亡率文件。死亡率数据文件的10%样本是单独抽取的，与家庭文件和人员文件的10%样本不同。
数据收集方式
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面对面
研究工具
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为2011年人口普查开发了三套问卷：
1. 问卷A - 家庭问卷 - 分发给家庭设置中的居民，包括在机构内发现的家庭，如员工住宅
2. 问卷B - 参考之夜（2011年10月9/10日）在途中或度假的居民。无家可归者也使用这套问题进行登记
3. 问卷C - 机构问卷，分发给集体生活区的居民（2011年10月9/10日在机构过夜的居民）
在人口普查之后进行了一次人口普查后调查，该调查使用了PES问卷。
抽样误差估计
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将2011年人口普查与先前的人口普查进行比较需要将数据对齐到2011年市镇边界
在先前的人口普查中询问的残疾问题在2011年人口普查中被一般健康和功能问题所取代。
五岁以下儿童的一般健康和功能问题误报意味着此变量的数据仅针对五岁及以上的人进行概述。
数据评估
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数据集没有为“地理类型”变量提供代码列表，该变量有3个值（1，2，3）。