Namibia Intercensal Demographic Survey 2016 - Namibia

Abstract
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The Namibia Intercensal Demographic Survey (NIDS) of 2016 is the first of its kind to be conducted by Namibia Statistics Agency since its establishment in April 2012, while the fisrt and second were conducted by the central Bureau of Statistics (1996 & 2006). It is a sample survey taken between the censuses, the 2011 census and the proposed 2021 census with the main objective of providing updated information on Demographic, socio-economics and housing characteristics of the population. The survey collected information from persons in households and their housing units. The NIDS coverage was limited to persons in private households excluding those in institutions.

The survey is intended to support evidence based planning and decision making in Namibia. The survey information at a national level, will provide crucial information for development planning and programme implementation. While at the international level, the information will be used to monitor progress towards Namibia's achievement of international targets, particularly the Sustainable Development Goals (SDGs).

The population characteristics include spatial distribution, age and sex composition, marital status, education, literacy, orphan hood and disability. The household and housing conditions include household size, housing amenities, ownership and the quality of housing.

The sample design was a stratified two-stage cluster sample, where the first stage units were the PSUs and the second stage units were the households.

The data processing methodology that was used is the Computer Assisted Personal Interview method (CAPI)

Geographic coverage
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Information is at National, Urban, Rural and Regional levels.

Analysis unit
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Individual/Household; National; Urban,Rural and regions

Universe
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Namibian private households and it's household members. Iinstitutions (institutional population) were excluded from this survey. However, private households within institutions were covered.

Kind of data
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Sample survey data [ssd]

Sampling procedure
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The sample design was a stratified two-stage cluster sample, where the first stage units were the PSUs and the second stage units were the households. Sample sizes were determined to give reliable estimates of the population characteristics at the regional level (i.e. lowest domain of estimation). A total of 12480 households constituted the sample from all 14 regions and from a sample of 624 PSUs.

Mode of data collection
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Face to face interviews using Computer Assisted Persosnal Interviews (CAPI).

Research instrument
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The NID questionnaire had the following sections:

Section A: Identification section of the household
Section B: Information on all members of the household
Section C: Child Protection, for all persons aged 0 - 18 years
Section D: Early Childhood Development for children aged 0 to 5 years and Literacy and Education for persons aged 6 years and above
Section E: Labour Force for all household members that are aged 8 years and above
Section F: Fertility information for all women aged 8 - 54 years
Section G: Mortality/Deaths in the household in the last 12 month
Section H: Housing Characteristics for each household

Cleaning operations
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Data entry application was built with many consistency checks, skipping patterns and other validations such as maximum and minimum acceptance range per variable. Supervisors were given minimum variables to check on a day to day basis, especially for other's specify (notes) variables. As a result, data consistency checks, coding and validation was done at field level. This minimized the time spent on post data cleaning, validation and editing process.

Numerous batch programs were developed to run through the data to sort and fix inconsistencies. Main programs developed were:
1. Case specific edits program - this program allows to implement edits which are specific to a case (household), these edits are provided by subject matter after checking/ investigating each household.
2. General edits program - this program fix any data inconsistency found during the run. Standardize data program - removes deleted persons and ensure that the head of household is on the first row for each household. In the end, only valid person lines are remaining in the data file.
3. Recode variables program - this program recode variable values from the notes (Other specify) to different values based on the input from subject matter (SM). An excel sheet is provided to SM to put the correct value for each case and variable for recoding, then program convert the excel sheet to CSpro data file and implements the changes.
4. Add weight program - the weight is also applied through the CSpro post data processing program. Sampling team design weight (both individual and household) based on the completeness of survey interviews by PSU. Once the weight is applied to the dataset Data Processing (DP) runs the final Merge flatten program, which convert and flatten the multi select answers into more human readable data.
5. The final step is to drop the person identification information such as the person name from the dataset, this is done via an Anonymize data program.

Response rate
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98.1%

摘要
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2016年纳米比亚间年人口普查调查（NIDS）由纳米比亚统计局自2012年4月成立以来首次进行，而前两次调查分别由中央统计局于1996年和2006年进行。这是一项在两次人口普查之间进行的抽样调查，即2011年人口普查和拟定的2021年人口普查，其主要目的是提供关于人口人口统计学、社会经济和住房特征的最新信息。调查收集了家庭及其住房单元中人员的详细信息。NIDS的覆盖范围限于私人家庭中的成员，不包括机构中的成员。

调查旨在支持纳米比亚基于证据的规划和决策。在国家层面上，调查信息将为发展规划和项目实施提供关键信息。而在国际层面上，这些信息将用于监测纳米比亚实现国际目标，尤其是可持续发展目标（SDGs）的进展。

人口特征包括空间分布、年龄和性别构成、婚姻状况、教育、识字率、孤儿状况和残疾。家庭和住房条件包括家庭规模、住房设施、所有权和住房质量。

样本设计为分层两阶段聚类抽样，第一阶段单元为抽样单元（PSU），第二阶段单元为家庭。所采用的数据处理方法是计算机辅助个人访谈法（CAPI）。

地理覆盖范围
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信息涵盖国家、城市、农村和地区层面。

分析单元
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个人/家庭；国家；城市、农村和地区。

总体
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纳米比亚私人家庭及其家庭成员。机构（机构人口）不包括在本调查范围内。然而，机构内的私人家庭则予以覆盖。

数据类型
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样本调查数据 [ssd]

抽样程序
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样本设计为分层两阶段聚类抽样，第一阶段单元为抽样单元（PSU），第二阶段单元为家庭。样本量确定旨在对地区层面的人口特征提供可靠的估计（即最低估计领域）。总共12480个家庭构成了来自所有14个地区和624个PSU样本的样本。

数据收集方式
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面对面访谈，采用计算机辅助个人访谈（CAPI）。

研究工具
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NIDS问卷包含以下部分：

部分A：家庭识别部分
部分B：关于家庭所有成员的信息
部分C：儿童保护，针对所有0至18岁的个人
部分D：0至5岁儿童的早期儿童发展以及6岁及以上个人的识字和教育
部分E：所有8岁及以上家庭成员的劳动力市场
部分F：所有8至54岁女性的生育信息
部分G：过去12个月内的家庭死亡情况
部分H：每个家庭的住房特征。

数据清理操作
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数据录入应用中包含了多项一致性检查、跳过模式和其它验证，例如每个变量的最大和最小接受范围。监督员每天需要检查的最小变量量，特别是其他指定（备注）变量。因此，数据一致性检查、编码和验证在实地层面完成。这最大限度地减少了数据清理、验证和编辑过程中花费的时间。

开发了大量的批量程序来运行数据以排序和修复不一致性。主要开发的程序包括：
1. 案例特定编辑程序 - 此程序允许针对案例（家庭）实施特定编辑，这些编辑由主题专家在检查/调查每个家庭后提供。
2. 通用编辑程序 - 此程序修复在运行过程中发现的任何数据不一致性。
3. 标准化数据程序 - 删除被删除的人员并确保每个家庭的第一行是户主。最终，数据文件中只保留有效的人员行。
4. 重新编码变量程序 - 此程序根据主题专家（SM）的输入将变量值从备注（其他指定）重新编码到不同的值。为SM提供了一个Excel表，用于为每个案例和变量输入正确的重新编码值，然后程序将Excel表转换为CSpro数据文件并实施更改。
5. 添加权重程序 - 权重也通过CSpro后数据处理程序应用。抽样团队设计（个人和家庭）的权重基于PSU的调查访谈的完整性。一旦将权重应用到数据集，数据处理（DP）运行最终的合并展平程序，将多选答案转换为更易于阅读的数据。
6. 最后一步是删除数据集中的个人识别信息，如姓名，这通过匿名化数据程序完成。

响应率
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98.1%