Household Income and Expenditure Survey 2010 - Bangladesh

Abstract
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Household Income and Expenditure Survey (HIES) is one of the core activities of the BBS; it contains a wide range of socio-economic information at the household level that has strong influence in the decision making process for the government.

The main objectives of HIES 2010 were to:
• Obtain detailed data on household income, expenditure and consumption.
• Determine poverty profile with urban and rural breakdown.
• Provide information about standard of living and nutritional status of the population.
• Provide data to determine the weights of Consumer Price Indices (CPI).
• Provide household level consumption data for compiling national accounts estimates.
• Provide detailed information on health status and educational level of the population.
• Determine poverty estimates by administrative divisions and detailed socio-economic characteristics of the population and household.
• Provide benchmark data for formulation of appropriate policy for poverty reduction, improvement in standard of living and nutritional status of the population.
• Provide relevant data for monitoring of the Poverty Reduction Strategy (PRS), Five year plan and the Millennium Development Goals (MDGs).
• Provide data on type, volume and distribution of resources under different Social Safety Nets Programmes (SSNP).
• Provide data on disability, migration, remittances, microcredit and disasters management.

Geographic coverage
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National

Analysis unit
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Individuals and households

Kind of data
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Sample survey data [ssd]

Sampling procedure
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A two stage stratified random sampling technique was followed in drawing sample of HIES 2010 under the framework of Integrated Multipurpose Sample (IMPS) design developed on the basis of the sampling frame based on the Population and Housing Census 2001. The IMPS design consisted of 1000 Primary Sampling Units (PSUs) throughout the country. There were 640 rural and 360 urban PSUs in the sample. The PSU was defined as contiguous two of more enumeration areas (EA) used in Population and Housing Census 2001. Each PSU comprised of around 200 households. In the first stage about one half, 612 is in exact out of total 1000 IMPS PSUs, were drawn. These PSUs were selected from 16 different strata. There were 6 rural, 6 urban and 4 SMA strata. In the second stage, 20 households were selected from each of the rural PSUs and also PSUs located in the municipal areas and SMAs. Thus, the HIES is a sub-set of IMPS.

According to the sample design, the survey has completed in one complete year (1st February, 2010 to 31st January, 2011). This has been done in order to capture the seasonal variations in a cycle of one year in income, expenditure and consumption pattern. This entire period of one year has been divided into 18 terms. In each term a total of 34 PSUs are covered to collect data from a total of 680 sample households. In HIES-2010, 12240 households were selected where 7840 from rural area and 4400 from urban area.

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

Research instrument
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The questionnaire has been revised and updated for the Household Income and Expenditure Survey-2010. In the HIES-2010 the consumption module was included in the main questionnaire as it was done in HIES 2005 & HIES 2000. Therefore, only one questionnaire was used for all the sections covered under the preview of the HIES 2010. The HIES questionnaire contains nine separate sections. The following four new sub- modules were included in HIES-2010:
1. Disability
2. Internal and external migration
3. Indebtedness, opening of bank accounts and savings
4. Household crisis and crisis management

Cleaning operations
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Data Entry, Processing and Validation
The interviewers regularly entered all the information collected during the interview into the laptop at the end of the day. If they have noticed any inconsistency in the data, they went back to the relevant households and made required changes to remove the discrepancy. Once they has completed and checked the information, they must also “validate” the data entered through data entry programme that has the mechanism to check the information for accuracy. Thus, the data were cleaned and validated at the field level. The entered data were sent to the headquarters through Internet by the first week of the following month. Thus, data entry, cleaning and validation were completed in the HIES headquarters located in Dhaka, simultaneously along the survey work. After receiving all the data from the field, they were merged together for tabulation and thoroughly edited for any missing data or inconsistency in the data. Finally, tables were generated from the cleaned data using data analysis software like STATA, FoxPro and SPSS.

摘要
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家庭收入与支出调查（HIES）是BBS的核心活动之一；它包含了一系列对政府决策过程具有重大影响力的家庭层面的社会经济信息。

HIES 2010的主要目标包括：
• 获取关于家庭收入、支出和消费的详细信息。
• 确定城乡贫困状况。
• 提供有关人口生活水平和营养状况的信息。
• 为确定消费者价格指数（CPI）的权重提供数据。
• 为编制国民账户估计提供家庭层面的消费数据。
• 提供关于人口健康状况和教育水平的详细信息。
• 根据行政区划和人口及家庭的详细社会经济特征确定贫困估计。
• 为制定适当的减贫政策、提高人口生活水平和营养状况提供基准数据。
• 为监测减贫战略（PRS）、五年计划和千年发展目标（MDGs）提供相关数据。
• 提供不同社会安全网项目（SSNP）下资源类型、数量和分布的数据。
• 提供关于残疾、移民、汇款、小额信贷和灾害管理的数据。

地理覆盖范围
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全国

分析单元
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个人和家庭

数据类型
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样本调查数据 [ssd]

抽样程序
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在HIES 2010的抽样过程中，遵循了基于2001年人口和住房普查抽样框架的集成多功能样本（IMPS）设计框架下的两阶段分层随机抽样技术。该IMPS设计包括全国范围内的1000个初级抽样单位（PSU）。样本中包含640个农村PSU和360个城市PSU。PSU被定义为在2001年人口和住房普查中使用的一系列连续的两个或多个统计区域（EA）。每个PSU大约包含200个家庭。在第一阶段，从总共1000个IMPS PSU中抽取了大约一半，即612个。这些PSU来自16个不同的层。其中6个农村层、6个城市层和4个SMA层。在第二阶段，从每个农村PSU以及位于市辖区和SMA的PSU中各选取了20户家庭。因此，HIES是IMPS的一个子集。

根据样本设计，调查在一年内完成（2010年2月1日至2011年1月31日）。这是为了捕捉收入、支出和消费模式在一个年度周期中的季节性变化。整个一年被分为18个学期。在每个学期内，共覆盖34个PSU，从总共680个样本家庭中收集数据。在HIES-2010中，共选取了12240户家庭，其中7840户来自农村地区，4400户来自城市地区。

数据收集方式
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面对面 [f2f]

研究工具
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为了HIES-2010，问卷已被修订和更新。在HIES-2010中，消费模块被纳入主问卷中，正如在HIES 2005和HIES 2000中所做的那样。因此，仅使用一份问卷涵盖了HIES 2010下预览的所有部分。HIES问卷包含九个独立的章节。在HIES-2010中，以下四个新的子模块被包括在内：
1. 残疾
2. 内部和外部移民
3. 债务、开设银行账户和储蓄
4. 家庭危机和危机管理

数据清理操作
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数据录入、处理和验证
调查员每天晚上将采访期间收集的所有信息输入笔记本电脑。如果他们注意到任何数据不一致，他们将返回相关家庭并做出必要的更改以消除差异。一旦他们完成并检查信息，他们还必须通过数据录入程序“验证”输入的数据，该程序具有检查信息准确性的机制。因此，数据在田野水平上得到清理和验证。录入的数据在次月的第一周通过互联网发送到总部。因此，数据录入、清理和验证在位于达卡的HIES总部与调查工作同时完成。在收到所有来自田野的数据后，它们被合并在一起进行表格化，并对任何缺失数据或数据不一致进行彻底编辑。最后，使用STATA、FoxPro和SPSS等数据分析软件从清理后的数据生成表格。