Household Income and Expenditure Survey 2016
Bangladesh, 2016 - 2017
BANGLADESH BUREAU OF STATISTICS
Identification
idno
BGD-BBS-HIES-2016-v01
Title
Household Income and Expenditure Survey 2016
Country
| Name | Country code |
|---|---|
| Bangladesh | BGD |
Abstract
Household Income and Expenditure Survey (HIES) is one of the core activities of the Bangladesh Bureau of Statistics (BBS), it contains a wide range of socio-economic information at the household level that has strong bearing in the decision making process for the government. It is the standalone survey in Bangladesh to provide reliable and credible estimate of poverty and its correlates. It is widely used across the world, particularly in the low income developing countries, for assessing poverty level and the living standard of the people at large. Considering its importance, Government of Bangladesh, Particularly Bangladesh Bureau of Statistics (BBS) and Statistics and Informatics Division (SID) and the international agencies have been striving for the improvement of survey methodology and enhancement of HIES technical standard.
This survey provides valuable data on household income, expenditure, consumption, savings, housing condition, household's access to water supply and electricity, education, employment, health and sanitation, social safety nets, remittance, micro credit, crisis coping, disability etc. The survey data can also be used for compilation of national accounts of the household sectors, analysis of poverty situation and other information on household related characteristics. It also provides the weights for computation of Current Price Index (CPI). It becomes the main data source for preparation of the Poverty Reduction Strategy (PRS) and Five Year Plan (FYP). It is also used for monitoring the progress of poverty reduction and the Sustainable Development Goals (SDGs) indicators.
The main objectives of HIES 2016 are to:
# Obtain detailed data on household income, expenditure and consumption
# Determine poverty profile with urban and rural breakdown
# Provide reliable annual poverty estimates at 64 districts of the country along with national quarterly estimates
# Provide information about standard of living and nutritional status of population
# Provide data to determine the weights of consumer price indices
# Provide household level consumption data used in compiling national accounts estimate
# 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 households
# 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 Progress of 7 FYP and SDGs
# Provide data on nature, volume and distribution of resources under different Social Safety Nets programme
# Collect data related to calculation of demand function and elasticity
# Generate data for formulating appropriate fiscal policies
# Provide data on migration and remittances
# Collect detailed data on credit and repayment situation and practices
# Collect data on crises at household level, its impact and strategy for management
This survey provides valuable data on household income, expenditure, consumption, savings, housing condition, household's access to water supply and electricity, education, employment, health and sanitation, social safety nets, remittance, micro credit, crisis coping, disability etc. The survey data can also be used for compilation of national accounts of the household sectors, analysis of poverty situation and other information on household related characteristics. It also provides the weights for computation of Current Price Index (CPI). It becomes the main data source for preparation of the Poverty Reduction Strategy (PRS) and Five Year Plan (FYP). It is also used for monitoring the progress of poverty reduction and the Sustainable Development Goals (SDGs) indicators.
The main objectives of HIES 2016 are to:
# Obtain detailed data on household income, expenditure and consumption
# Determine poverty profile with urban and rural breakdown
# Provide reliable annual poverty estimates at 64 districts of the country along with national quarterly estimates
# Provide information about standard of living and nutritional status of population
# Provide data to determine the weights of consumer price indices
# Provide household level consumption data used in compiling national accounts estimate
# 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 households
# 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 Progress of 7 FYP and SDGs
# Provide data on nature, volume and distribution of resources under different Social Safety Nets programme
# Collect data related to calculation of demand function and elasticity
# Generate data for formulating appropriate fiscal policies
# Provide data on migration and remittances
# Collect detailed data on credit and repayment situation and practices
# Collect data on crises at household level, its impact and strategy for management
Kind of Data
Sample survey data [ssd]
Version
Version Date
2019-06
Producers and sponsors
Authoring entity/Primary investigators
| Agency Name | Affiliation |
|---|---|
| BANGLADESH BUREAU OF STATISTICS | STATISTICS AND INFORMATICS DIVISION, MINISTRY OF PLANNING |
Funding Agency/Sponsor
| Name | Abbreviation |
|---|---|
| STATISTICS AND INFORMATICS DIVISION | SID |
Sampling
Sampling Procedure
The HIES 2016 deviates from the sampling design used in the previous round of HIES 2010 in several ways. The objectives of HIES 2016 have changed significantly from HIES 2010. In HIES 2010, sample was designed to provide reliable annual estimates at division level with urban & rural break down. But in HIES 2016, the sample was designed to achieve three objectives:
i) reliable annual estimates at 64 district level
ii) reliable quarterly estimates at the national level and
iii) reliable annual estimates at the division level for urban and rural areas.
To achieve this multiple objectives, BBS needed to change the sample design of HIES 2016 significantly from HIES 2010. The first significant change was to increase the sample size to almost four times compare to HIES 2010. This substantial increase in the sample size also forced to use a new sampling frame instead of the previous Integrated Multi Purpose Sample (IMPS). The IMPS is a master sample updated after each Census of Population and Housing. This IMPS was used as sampling frame for the selection of Primary Sampling Units (PSUs) for HIES 2010 and also for other surveys in BBS.
i) reliable annual estimates at 64 district level
ii) reliable quarterly estimates at the national level and
iii) reliable annual estimates at the division level for urban and rural areas.
To achieve this multiple objectives, BBS needed to change the sample design of HIES 2016 significantly from HIES 2010. The first significant change was to increase the sample size to almost four times compare to HIES 2010. This substantial increase in the sample size also forced to use a new sampling frame instead of the previous Integrated Multi Purpose Sample (IMPS). The IMPS is a master sample updated after each Census of Population and Housing. This IMPS was used as sampling frame for the selection of Primary Sampling Units (PSUs) for HIES 2010 and also for other surveys in BBS.
Data Collection
Dates of Data Collection (YYYY/MM/DD)
| Start date | End date |
|---|---|
| 2016-04 | 2017-03 |
Mode of data collection
Face-to-face [f2f]
Supervision
Strong supervision and quality control measures were adopted in HIES 2016. As mentioned earlier, there were 34 teams, each team comprising of 2 enumerators-cum data entry operators and two female facilitators and one supervisor. In order to improve the quality of data collection, 34 supervisors were appointed to supervise the work of 34 teams. The Regional Statistical Officers from 23 Regional Statistical Offices and II Statistical Officers/Assistant Statistical Officer from the HQ were engaged as supervisors. In addition, 2 Supervisors and 4 enumerators were kept reserve for addressing emergencies Thus, the number of enumerators and supervisors were in fact 70 and 36 respectively. There were also eight Divisional coordinators to supervise and coordinate the activities of the enumerators and supervisors in their respective divisions. Thus, each team was composed of 5 members; 2 enumerators/cum data entry operators, 2 female facilitators and I supervisors. In HIES 2016, the tasks of supervisors were determined before commencement of the field work. The supervisors were given the authority to examine all questionnaires completed by the field staff and verify that each interview has been carried out correctly and the questionnaires properly completed. Aside from the supervision by the field supervisors, the Divisional Coordinators from the headquarters frequently visited the sample areas and observed one or more interviews carried out by enumerators in every term and provide solution to any problem faced by the enumerators. Provisions were made for holding term-wise discussions of the supervisors with all of his team members in order to access the progress of the interviewer. The enumerators and female facilitator used this opportunity to inform the supervisors of any problem they faöed during the period and the supervisors, in their turn, helped the enumerators in solving their problems.
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Bangladesh Bureau of Statistics | BBS | Ministry of Planning |
Data Processing
Cleaning Operations
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 UIES 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.
Metadata production
Document ID
DDI-BGD-BBS-HIES-2016-v01
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| BANGLADESH BUREAU OF STATISTICS | BBS | STATISTICS AND INFORMATICS DIVISION, MINISTRY OF PLANNING | Documentation of the study |
Date of Production
2019-09-01