The Labour and Employment Survey is a national sample household survey conducted yearly in the months of April and October by the General Statistical Office (GSO). The 2010 Labour and Employment Survey was carried out according to the Decision Number 121/QD-TCTK issued on 25/2/2010 by the Director General of the General Statistics Office and the survey plan promulgated under this Decision.
The objectives of the 2010 Labour and Employment Survey are:
- To collect basic information on labour market, comparable with international standards
- Assessing the impacts of the global economic downturn to the labour market in Viet Nam
- Data would represent to the national level, urban/rural, 6 socio-economic regions for periods 1 and 2; to the national level, urban/rural, 6 socio-economic regions and 63 provinces/cities for 2 periods.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
The scope of the survey includes the following:
- Identification information
- Entire population: Sex, Age, Ethnicity
- Usual residents aged 15 and over: Marital Status, Education Level
- Employed persons aged 15 and over: Occupation, Industry, Employment status, Average monthly income, Full-time or part-time working status, Hours worked, Time of current work, Change in occupation, Under-employment
- Unemployed persons aged 15 and over: Duration of unemployment, Action of looking for a job, Work experience, Reason for leaving previous job.
- Economically inactive persons aged 15 and over: Reason for economical inactivity
Producers and sponsors
General Statistical Office (GSO)
Ministry of Planning and Investment
The sample of the 2010 Labour Force Survey is a two-stage stratified sample. Each centrally governed province/city consitutes a main stratum with two sub-stratums of urban areas and rural areas. The sample frame is a sample of 15% enumeration areas of the 2009 Population and Housing Census.To ensure sample estimates were representative of provinces, the sample was allocated inversely to population size, each province had a sample size of about 60 enumeration areas with an average of 32 households per enumeration area. Hanoi and Ho Chi Minh City are the two most populous and complicated cities, so they had a selection of 74 enumeration areas.The average sample size was 2000 households per province per period. Each period of the 2010 LFS was conducted in 3890 sample enumeration areas in the entire country. The General Statistics Office directly selected enumeration areas and informed Provincial Statistics Offices.The sample is stratified, each province/city constitutes a main stratum (63 main strata) with two sub-strata of 'urban' and 'rural' areas. Sample allocation for each stratum was conducted by the system selection method. Sample enumeration areas were selected in the preparatory step. The Department of Population and Labour Statistics selected the first level system as enumeration area and the second level- randomly selected 32 households from the household listing of enumeration areas.
The general weight was calculated from the following probabilities/weights:
1. Design weights (basic weight): depend on probability
2. Coefficients used to adjust weights due to variations in the number of households or variations in the total number of enumeration areas (due to lost and unreplaced households)
3. Coefficients used to adjust weights according to structure of the population under study (self-weighting)
More details on weighting are available in section 3.1 of the Sample and Design Estimation (Part 1.2) of the report provided as external resources.
Dates of Data Collection
Data Collection Mode
Team leaders directly controlled the daily task of each enumerator, deciding the sufficiency and accuracy of the information collected. Each team leader took responsibility of 2-3 enumerators. Apart from the task of observing and checking the work of enumerators, team leaders were given the responsibility to conduct random spot checks to make sure that all enumerators had performed their task with high standards. Supervisors who were Statistical Officers directly participated in the survey and were organized for all three levels of Central, Province and District. Provincial and District supervisors were in charge of examining the supervision process of team leaders and supporting them in accomplishing their tasks.
Training of fieldworkers was conducted in 2 steps:
Step 1: The General Statistical Office organized 2 training courses for centrally governed province/city staff (one for the north provinces/cities and one for the south provinces/cities), each course lasting for 2 days in the early half of March of 2010.
Step 2: Provincial Statistical Offices organized the training for enumerators, team leaders and superviors (including backup enumerators and team leaders). Each course lasted for 4 days in the late half of March 2010 for the survey period 1. Training included interviewing practice and questionnaire record.
For period 2, provincial statistics offices held the training supplement for enumerators, team leaders and supervisors. This lasted for 1 day in the second half of August 2010. The purpose of this training was to review knowledge trained in period 1, inform a few remarks and changes. For new staff participating in period 2 for teh first time, they were trained for 4 days as in period 1.
Data Collection Notes
Enumerators were required to have educational level of higher-secondary school and over (in the difficult situation, lower-secondary school educational level is accepted) and have been trained carefully. Each enumerator took responsibility of one enumeration area. Provinces/cities had to use most of the enumerators who participated in the recent statistical surveys, and stabilize this force at least through the survey period 2. Each enumerator was assigned to enumerate an average of 3 households per day. However, in the first 2 days enumerators were not to exceed 2 households per day per enumerator in order to help them correct errors, especially system errors in the questionnaire record and interview. Everyday, enumerators conducted interview and questionnaire records under strict control and guidance of team leaders.
After the questionnaires had been checked and edited in the field, questionnaires were transferred to the provincial statistics offices where the questionnaires were checked again, mainly focusing on logical and coding examination. After that, provincial statistics offices sent all the checked questionnaires to the Statistics Informatics Center of Zone I for data entry and tabulation.Data entry and questionnaire edition were carried out at the Statistics Informatics Center of Zone I in Hanoi. A number of consistency checks were carried out, and followed by data editing. As soon as the data entry for a province was completed, a list of inconsistencies was printed out for verification and correction, and then data files were updated with these corrections.
Estimates of Sampling Error
Computer software that could be used to calculate standard errors for stratified sample includes the standard error calculation module of ISSA or STATA. These programs use the Taylor linear expansion method to estimate variance for estimates of means and proportions for sample surveys.
Sampling error in the sample survey is calculated for a few selected key indicators. Results are presented in an Annex for estimates at the national, urban and rural, and 6 socio-economic region levels and for 63 provinces/cities. For each variable, the statistical estimate (R), standard error (SE), relative standard error 9SE/R) and 95% confidence interval (R+-2SE) are presented in Annex1 (Part 3.1) provided as external resources.
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 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.