Namibia Labour Force Survey 2013
Namibia
Namibia Statistics Agency
Identification
Title
Namibia Labour Force Survey 2013
Countries
| Name | Abbreviation |
|---|---|
| Namibia | NAM |
idno
NAM_NSA_2013_NLFS_Vo2
Study notes
The first full-scale Labour Force Survey (LFS) in Namibia was carried out in 1997 under the National Household Survey Programme, launched after the Government endorsed the Five Year Plan of Development of Statistics in Namibia in 1993. Since then, five Labour Force Surveys have been conducted in the country at more or less regular intervals of every four years. This survey was conducted only one year after the previous survey, in 2012, and the Namibia Statistics Agency plans to continue to conduct the LFS on an annual basis going forward.
Like all its predecessors, the 2013 survey was conducted with the objective of generating "timely collection and release of key socio-economic indicators for assessment of labour market conditions in Namibia." The survey covers all aspects of people's work, including the education and training needed to equip them for work, the jobs themselves, job search of those out of work, and income and benefits from work.
In this year's LFS analysis more efforts were made to cover wide-range of topics to meet the demands of local stakeholders in labour statistics, and as well standard reporting demanded by SADC, the AU, and the ILO. For example we have included SADC Minimum Indicator List page, for a quick glance of standard employment and unemployment indicators for accessing Namibia's efforts in meeting its various developmental goals in particular, those relating job creations.
Moreover, the anonymised micro-level data used for this report are available via the NSA website at <http://www.nsa.org.na> to enable other agencies and individuals to conduct further analysis of the data. In this way, the country will derive full benefit from the resources that were allocated to conduct the survey.
In conclusion, I would like to address my sincere thanks to the International Labour Organisation (ILO) for their technical inputs to the 2013 labour force survey in Namibia. A word of appreciation goes also to our stakeholders for their contributions towards the review of questions use for the survey.
Finally, I also thank all the staff of the NSA that worked hard for the successful and timely conclusion of the first annual labour force survey in Namibia.
Like all its predecessors, the 2013 survey was conducted with the objective of generating "timely collection and release of key socio-economic indicators for assessment of labour market conditions in Namibia." The survey covers all aspects of people's work, including the education and training needed to equip them for work, the jobs themselves, job search of those out of work, and income and benefits from work.
In this year's LFS analysis more efforts were made to cover wide-range of topics to meet the demands of local stakeholders in labour statistics, and as well standard reporting demanded by SADC, the AU, and the ILO. For example we have included SADC Minimum Indicator List page, for a quick glance of standard employment and unemployment indicators for accessing Namibia's efforts in meeting its various developmental goals in particular, those relating job creations.
Moreover, the anonymised micro-level data used for this report are available via the NSA website at <http://www.nsa.org.na> to enable other agencies and individuals to conduct further analysis of the data. In this way, the country will derive full benefit from the resources that were allocated to conduct the survey.
In conclusion, I would like to address my sincere thanks to the International Labour Organisation (ILO) for their technical inputs to the 2013 labour force survey in Namibia. A word of appreciation goes also to our stakeholders for their contributions towards the review of questions use for the survey.
Finally, I also thank all the staff of the NSA that worked hard for the successful and timely conclusion of the first annual labour force survey in Namibia.
Unit of analysis
The units of analysis in the survey includes households and individuals
Scope
Topics
| Topic | Vocabulary | URI |
|---|---|---|
| Population size | ||
| Population composition | ||
| Economically active population | ||
| Economically active population by sex | ||
| Employed and Unemployed - broad | ||
| working conditions |
Coverage
Geographic coverage
The survey had national coverage. The lowest level of geographic aggregation of the data is Region (the 13 regions in the country).
Unit of analysis
The units of analysis in the survey includes households and individuals
Universe
The universe of the survey was all household members. Homeless people and the people who are living in institutions (institutional population) are excluded.
Producers and sponsors
Producer(s)
| Name | Affiliation | Role |
|---|---|---|
| Namibia Statistics Agency |
Funding agencies
| Name | Abbreviation | Role |
|---|---|---|
| Namibia Statistics Agency | NSA | funding |
| International labour organisation | ILO | Technical Suports |
Sampling
Sampling procedure
The target population of the LFS 2013 was members of private households in Namibia. The population living in institutions, such as hospitals, hostels, police barracks and prisons was not covered in the survey. However, private households within institutional settings were covered, such as teachers' houses on school premises.
The sample design for the LFS 2013 was a stratified two-stage probability sample, where the first stage units were geographical areas designated as the Primary Sampling Units (PSUs) and the second stage units were the households. Up-to-date listings of households in the selected PSU was prepared during the field work, and 18 households were selected in each PSU using systematic sampling. The distribution of the sample is given below.
The sample design for the LFS 2013 was a stratified two-stage probability sample, where the first stage units were geographical areas designated as the Primary Sampling Units (PSUs) and the second stage units were the households. Up-to-date listings of households in the selected PSU was prepared during the field work, and 18 households were selected in each PSU using systematic sampling. The distribution of the sample is given below.
Weighting
Sample weights were calculated based on probabilities of selection at each stage.
Data Collection
Mode of data collection
Face-to-Face