Identification
Survey ID Number
VNM_2006_VHLSS_v01_M
Title
Household Living Standards Survey 2006
Subtitle
5th round
Translated Title
Khao sat muc song ho gia dinh Viet Nam 2006
Country
| Name | Country code |
|---|---|
| Vietnam | VNM |
Study type
Living Standards Measurement Study [hh/lsms]
Series Information
The 2006 Vietnam Household Living Standards Survey is the fifth round of VHLSS survey conducted by Vietnam General Statistics Office (GSO), previous surveys were conducted in 1992-1993 (VLSS), 1997-1998 (VLSS), 2002 (VHLSS) and 2004 (VHLSS).
Abstract
The General Director, the General Statistics Office (GSO), issued Decision Number 308/QD-TCTK dated 5nd April 2006 on Conducting the Vietnam Household Living Standards Survey in 2006 (VHLSS 2006) in order to collect necessary information for monitoring, supervising and evaluating the implementation of the “Comprehensive Strategy for Growth and Poverty Alleviation” approved by the Government Prime Minister. The survey was conducted nation-wide, involving a sample scale of 45,945 households (36,756 households for income survey, 9,189 households for income and expenditure survey) in 3,063 communes/wards, representative for whole country, 8 regions, urban/ rural area and provinces. Organizationally, the survey was conducted to collect information in 2 rounds, 2006 and by direct interviews with headed households and key commune officials.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
- Households
- Individuals
- Communes
- Individuals
- Communes
Version
Version Date
2009-04-13
Scope
Notes
The scope of the Vietnam Household Living Standards Survey 2006 includes:
- HOUSEHOLD: household characteristics, household listing, education, labour - employment, health and health care, income, consumption expenditure and consumption expenditure for living, housing, electricity, access to safe drinking water, sanitary and fixed assets, durable goods, income gap and inequality.
- COMMUNE: Characteristics of commune.
- HOUSEHOLD: household characteristics, household listing, education, labour - employment, health and health care, income, consumption expenditure and consumption expenditure for living, housing, electricity, access to safe drinking water, sanitary and fixed assets, durable goods, income gap and inequality.
- COMMUNE: Characteristics of commune.
Topics
| Topic | Vocabulary | URI |
|---|---|---|
| DEMOGRAPHY AND POPULATION [14] | CESSDA | http://www.nesstar.org/rdf/common |
| EDUCATION [6] | CESSDA | http://www.nesstar.org/rdf/common |
| HEALTH [8] | CESSDA | http://www.nesstar.org/rdf/common |
| LABOUR AND EMPLOYMENT [3] | CESSDA | http://www.nesstar.org/rdf/common |
| income, property and investment/saving [1.5] | CESSDA | http://www.nesstar.org/rdf/common |
| consumption/consumer behaviour [1.1] | CESSDA | http://www.nesstar.org/rdf/common |
| HOUSING AND LAND USE PLANNING [10] | CESSDA | http://www.nesstar.org/rdf/common |
| social welfare policy [15.1] | CESSDA | http://www.nesstar.org/rdf/common |
Coverage
Geographic Coverage
The VHLSS 2006 was conducted nation-wide, involving a sample scale of 45,945 households (36,756 households for income survey, 9,189 households for income and expenditure survey) in 3,063 communes/wards, representative for whole country, 8 regions, urban/ rural area and provinces.
Universe
The survey covered all de jure household members (usual residents)
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Social and Environmental Statistics Departerment | General Statistics Office of Vietnam |
Producers
| Name | Role |
|---|---|
| World Bank | Technical assistance throughout survey - from designing questionnaires, selecting sample to processing and publishing the results |
| United National Development Programs | Technical assistance throughout survey - from designing questionnaires, selecting sample to processing and publishing the results |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| Vietnam Government | GovVNM | Government funds |
| World Bank | WB | Funding |
Sampling
Sampling Procedure
Survey sample was selected, based on the Population and Housing Census 1999. The sample size included 45,900 households representative of the whole country, urban and rural area and 64 provinces. Survey sample was divided into 2 types: 36,720 households would be surveyed on income and 9,180 households would be surveyed on income and expenditures. The survey sample was sub-divided into 2 minor samples for data collection in 2 stages: the first in May 2006 and the second in September 2006.
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2006-05-01 | 2006-05-31 | 1 |
| 2006-09-01 | 2006-09-30 | 2 |
Data Collection Mode
Face-to-face [f2f]
Data Collection Notes
Data collection period 1 (in May and June 2006): provinces finished the field work of 1450 Eas upon 3063 Eas in the total. In May and June period, provincial level mobilized about 1600 interviewers, nearly 600 team leaders and 300 provincial supervisors for the field work of the first period of the VHLSS in May 2006. Most of them were statistical officers in district and provincial level, except some provinces, due to the heavy workload of statistics offices (Agriculture census, establishments survey…), interviewers were hired outside local statistics offices.
Data entry and data cleaning programmes were designed and transferred to provincial level for entrying data and cleaning data. Up to now, completed questionnaires of 1st period were entried and cleaned through the checking and cleaning data programs, tabulating programmes were sent to provinces also for data tabulation testing of 1st period. Some key indicators in 1st period of province level were tabulated through this tabulation program.
Data collection period 2 (in September 2006): The same staff quantity with 1st period are mobilized in 64 provinces to conduct the field work of 2nd period. Before conducting the field work of this period, almost 64 provinces were conducted meeting with field workers to gain the experience in 1st period as well as remind the mistakes in the survey. Data of this period are checking and will be ready for data entry in provincial level.
Data entry and data cleaning programmes were designed and transferred to provincial level for entrying data and cleaning data. Up to now, completed questionnaires of 1st period were entried and cleaned through the checking and cleaning data programs, tabulating programmes were sent to provinces also for data tabulation testing of 1st period. Some key indicators in 1st period of province level were tabulated through this tabulation program.
Data collection period 2 (in September 2006): The same staff quantity with 1st period are mobilized in 64 provinces to conduct the field work of 2nd period. Before conducting the field work of this period, almost 64 provinces were conducted meeting with field workers to gain the experience in 1st period as well as remind the mistakes in the survey. Data of this period are checking and will be ready for data entry in provincial level.
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Social and Environmental Statistics Departerment | SESD-GSO | General Statistical Office |
Questionnaires
Questionnaires
1. Income and Expenditure questionnaire
2. Income questionnaire
3. Commune questionnaire
2. Income questionnaire
3. Commune questionnaire
Data Processing
Data Editing
Data editing took place at a number of stages throughout the processing, including:
a) Office editing and coding
b) During data entry
c) Structure checking and completeness
d) Secondary editing
e) Structural checking of Stata data files
Detailed documentation of the editing of data can be found in the "Data processing guidelines" document provided as an external resource.
a) Office editing and coding
b) During data entry
c) Structure checking and completeness
d) Secondary editing
e) Structural checking of Stata data files
Detailed documentation of the editing of data can be found in the "Data processing guidelines" document provided as an external resource.
Other Processing
Data were processed in clusters, with each cluster being processed as a complete unit through each stage of data processing. Each cluster goes through the following steps:
1) Questionnaire reception
2) Office editing and coding
3) Data entry
4) Structure and completeness checking
5) Verification entry
6) Comparison of verification data
7) Back up of raw data
8) Secondary editing
9) Edited data back up
After all clusters are processed, all data is concatenated together and then the following steps are completed for all data files:
10) Export to Stata in 52 files
11) Recoding of variables needed for analysis
12) Adding of sample weights
13) Calculation of wealth quintiles and merging into data
14) Structural checking of Stata files
15) Data quality tabulations
16) Production of analysis tabulations
Details of each of these steps can be found in the data processing documentation, data editing guidelines, data processing programs in Stata, and tabulation guidelines.
Structure and completeness checking ensured that all questionnaires for the cluster had been entered.
100% verification of all variables was performed using independent verification, i.e. double entry of data, with separate comparison of data followed by modification of one or both datasets to correct keying errors by original operators who first keyed the files.
After completion of all processing in CSPro, all individual cluster files were backed up before concatenating data together using the CSPro file concatenate utility.
For tabulation and analysis Stata versions 8.0 were used for all tabulation and analysis programs.
After transferring all files to Stata, certain variables were recoded for use as background characteristics in the tabulation of the data, including grouping age, education, geographic areas as needed for analysis. In the process of recoding ages and dates some random imputation of dates (within calculated constraints) was performed to handle missing or "don't know" ages or dates. Additionally, a wealth (asset) index of household members was calculated using principal components analysis, based on household assets, and both the score and quintiles were included in the datasets for use in tabulations.
1) Questionnaire reception
2) Office editing and coding
3) Data entry
4) Structure and completeness checking
5) Verification entry
6) Comparison of verification data
7) Back up of raw data
8) Secondary editing
9) Edited data back up
After all clusters are processed, all data is concatenated together and then the following steps are completed for all data files:
10) Export to Stata in 52 files
11) Recoding of variables needed for analysis
12) Adding of sample weights
13) Calculation of wealth quintiles and merging into data
14) Structural checking of Stata files
15) Data quality tabulations
16) Production of analysis tabulations
Details of each of these steps can be found in the data processing documentation, data editing guidelines, data processing programs in Stata, and tabulation guidelines.
Structure and completeness checking ensured that all questionnaires for the cluster had been entered.
100% verification of all variables was performed using independent verification, i.e. double entry of data, with separate comparison of data followed by modification of one or both datasets to correct keying errors by original operators who first keyed the files.
After completion of all processing in CSPro, all individual cluster files were backed up before concatenating data together using the CSPro file concatenate utility.
For tabulation and analysis Stata versions 8.0 were used for all tabulation and analysis programs.
After transferring all files to Stata, certain variables were recoded for use as background characteristics in the tabulation of the data, including grouping age, education, geographic areas as needed for analysis. In the process of recoding ages and dates some random imputation of dates (within calculated constraints) was performed to handle missing or "don't know" ages or dates. Additionally, a wealth (asset) index of household members was calculated using principal components analysis, based on household assets, and both the score and quintiles were included in the datasets for use in tabulations.
Access policy
Access authority
| Name | Affiliation | URL |
|---|---|---|
| General Statistics Office | Government of Vietnam | http://www.gso.gov.vn |
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Nguyen The Quan | General Statistics Office | ntquan@gso.gov.vn | http://www.gso.gov.vn |
Confidentiality
Users of the data agree to keep confidential all data contained in these datasets and to make no attempt to identify, trace or contact any individual whose data is included in these datasets
Access conditions
The GSO official microdata access policy is available on its website: www.gso.gov.vn <http://www.gso.gov.vn>
Requests for access to the datasets can be made through the GSO website
Requests for access to the datasets can be made through the GSO website
Citation requirements
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
Disclaimer and copyrights
Disclaimer
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Metadata production
DDI Document ID
DDI_VNM_2006_VHLSS_v02_M
Producers
| Name | Affiliation |
|---|---|
| Nguyen Phuong Anh | Social and Environmental Statistics Department |
Date of Metadata Production
2009-04-13
DDI Document version
Version 02: Edited version, the original DDI (DDI-VNM-VHLSS-2006-v1.0) was documented by Vietnam General Statistics Office, Social and Environmental Statistics Department.