Namibia Labour Force Survey 2016
Namibia, 2016
Namibia Statistics Agency
Identification
Title
Namibia Labour Force Survey 2016
Countries
| Name | Abbreviation |
|---|---|
| Namibia | NAM |
idno
NAM_NSA_2016_LFS_V04_PUF
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 for the Development of Statistics in 1993. Since then, five Labour Force Surveys (1997, 2000, 2004, 2008, and 2012) have been conducted in the country at more or less regular intervals of every four years.
The Labour Force Survey of 2016 was the fourth annual labour force survey to be conducted by the Namibia Statistics Agency. The first, second and third labour force surveys were conducted in 2012, 2013 and 2014 respectively. Although the LFS 2015 was included as a module in the 2015/16 NHIES, there was no official publication of the labour force statistics in 2015 as the resulting outcome was used as a pilot for determining the viability of producing quarterly labour force statistics. The pilot did not produce on average comparable results to previous years, hence the gap.
Like previous labour force surveys, the 2016 survey was conducted with the objective of generating key socioeconomic indicators for assessment of labour market conditions in Namibia.” The survey covers all aspects of people’s work, including employment, unemployment, underemployment, occupation, industry, education and training needed to equip them for work, wages and salaries.
This document presents results of key indicators of the survey. It is hoped that the release will be of assistance to planners, policy makers, researchers and the public in general and provide a quick glance of standard employment and unemployment indicators for accessing Namibia’s efforts in meeting its various developmental goals in particular, those relating to job creations.
This report covers wide-range of topics to meet the demands of users of labour statistics at national level, as well as SADC, AU, and ILO levels. For example, a page with a summary of SADC Minimum Indicators is included, for a quick glance of standard employment and unemployment indicators for accessing Namibia’s efforts in achieving its developmental goals relating job creations.
Moreover, the anonymised micro-level and Meta data for this report will be available via the NSA website at http:// www.nsa.org.na to enable the public and individuals who are interested in doing further analysis to have access to data. In this way, the country will derive full benefits from the resources that were allocated to conduct the survey.
NSA therefore would like to express sincere gratitude and appreciation for all the support that was received from various stakeholders who contributed to the implementation of this survey. Particularly, our gratitude goes to the users and producers who provided inputs to survey data collection instruments.
Furthermore, our appreciation goes to the household members who participated in the survey to provide the required information. Our appreciation also goes to Regional and Local leaders and the general public for their support and cooperation to ensure that the importance of the surveys was explained to their respective communities.
Also,We would like to address our sincere thanks to the International Labour Organisation (ILO) for their technical inputs to the labour force survey 2016 in Namibia. The technical advice of StatsSA is also highly appreciated and this good cooperation should continue.
Finally,NSA would like to thank the Government of the Republic of Namibia for its continued funding of this survey. Basic findings and indicators from this survey provide fresh understanding of the prevailing labour market situation in the country. These findings should provide a basis for better planning, policy formulation and labour-related discussions by all concerned.
We hope that the users will find this report informative and use it in their planning for the development of the country.
The Labour Force Survey of 2016 was the fourth annual labour force survey to be conducted by the Namibia Statistics Agency. The first, second and third labour force surveys were conducted in 2012, 2013 and 2014 respectively. Although the LFS 2015 was included as a module in the 2015/16 NHIES, there was no official publication of the labour force statistics in 2015 as the resulting outcome was used as a pilot for determining the viability of producing quarterly labour force statistics. The pilot did not produce on average comparable results to previous years, hence the gap.
Like previous labour force surveys, the 2016 survey was conducted with the objective of generating key socioeconomic indicators for assessment of labour market conditions in Namibia.” The survey covers all aspects of people’s work, including employment, unemployment, underemployment, occupation, industry, education and training needed to equip them for work, wages and salaries.
This document presents results of key indicators of the survey. It is hoped that the release will be of assistance to planners, policy makers, researchers and the public in general and provide a quick glance of standard employment and unemployment indicators for accessing Namibia’s efforts in meeting its various developmental goals in particular, those relating to job creations.
This report covers wide-range of topics to meet the demands of users of labour statistics at national level, as well as SADC, AU, and ILO levels. For example, a page with a summary of SADC Minimum Indicators is included, for a quick glance of standard employment and unemployment indicators for accessing Namibia’s efforts in achieving its developmental goals relating job creations.
Moreover, the anonymised micro-level and Meta data for this report will be available via the NSA website at http:// www.nsa.org.na to enable the public and individuals who are interested in doing further analysis to have access to data. In this way, the country will derive full benefits from the resources that were allocated to conduct the survey.
NSA therefore would like to express sincere gratitude and appreciation for all the support that was received from various stakeholders who contributed to the implementation of this survey. Particularly, our gratitude goes to the users and producers who provided inputs to survey data collection instruments.
Furthermore, our appreciation goes to the household members who participated in the survey to provide the required information. Our appreciation also goes to Regional and Local leaders and the general public for their support and cooperation to ensure that the importance of the surveys was explained to their respective communities.
Also,We would like to address our sincere thanks to the International Labour Organisation (ILO) for their technical inputs to the labour force survey 2016 in Namibia. The technical advice of StatsSA is also highly appreciated and this good cooperation should continue.
Finally,NSA would like to thank the Government of the Republic of Namibia for its continued funding of this survey. Basic findings and indicators from this survey provide fresh understanding of the prevailing labour market situation in the country. These findings should provide a basis for better planning, policy formulation and labour-related discussions by all concerned.
We hope that the users will find this report informative and use it in their planning for the development of the country.
Unit of analysis
Private Households, individuals
Version
Version
Version 0.4
Version date
2017-06-30
Scope
Topics
| Topic | Vocabulary | URI |
|---|---|---|
| Methodology | ||
| Demographic characteristics | ||
| Labour Force and Inactive Population | ||
| Employment | ||
| Unemployment | ||
| Youth Employment |
Keywords
| keyword | URI |
|---|---|
| Employed Population | |
| Unemployed Population | |
| Economically Inactive Population | |
| Economically Active Population | |
| Strict Unemployment Rate | |
| Broad Unemployment Rate | |
| Informal Employment | |
| Vulnerable employment | |
| Time-related underemployment | |
| Empolyment to Population ratio | |
| Labour Force Participation Rate | |
| Status in employment | |
| Union Density | |
| Youth Unemployment | |
| Occupation | |
| Industry |
Coverage
Geographic coverage
The sample was designed to provide estimates of the indicators at the national level, for urban and rural areas
for 14 regions.
for 14 regions.
Unit of analysis
Private Households, individuals
Universe
Namibian private households and subsequently the people living in those private households.
People who are living in institutions (institutional population) are excluded from this survey.
People who are living in institutions (institutional population) are excluded from this survey.
Producers and sponsors
Producer(s)
| Name | Affiliation | Role |
|---|---|---|
| Namibia Statistics Agency |
Funding agencies
| Name | Abbreviation | Role |
|---|---|---|
| Government of Republic of Namibia | GRN | Financial |
| International Labour Organisation | ILO | Technical |
| Stats South Africa | StatsSA | Technical |
Sampling
Sampling procedure
National sampling frame is a list of small geographical areas called Primary Sampling Units (PSU). There are a total of 6245 PSU’s in Namibia. They were created using the enumeration areas (EA) of the 2011 Population and Housing Census.
The sample design was a stratified two-stage cluster sample, where the first stage units were the PSUs and the second stage units were the households. Sample sizes were determined to give reliable estimates of the population characteristics at the regional level (i.e. lowest domain of estimation). A total of 12480 households constituted the sample from all 14 regions and from a sample of 624 PSUs. Power allocation procedures were adopted to distribute the sample across the regions so that the smaller regions will get adequate samples.
The sample design was a stratified two-stage cluster sample, where the first stage units were the PSUs and the second stage units were the households. Sample sizes were determined to give reliable estimates of the population characteristics at the regional level (i.e. lowest domain of estimation). A total of 12480 households constituted the sample from all 14 regions and from a sample of 624 PSUs. Power allocation procedures were adopted to distribute the sample across the regions so that the smaller regions will get adequate samples.
Response rate
After data processing,12239 out of 12480 sampled households were successfully interviewed.
Weighting
Population figures were estimated by raising sample figures using sample weights. Sample
weights were calculated based on probabilities of selection at each stage. First stage weight
was calculated using the sample selection information from the sampling frame and the
second stage weight was based on sample selection information on the listing form. In the
second stage some households out of the selected 20 households in a PSU did not participate
in the survey due to refusals, non-contact or non-completion of interview, etc. The final
sample weight was the product of the fi rst and the second stage weights.
weights were calculated based on probabilities of selection at each stage. First stage weight
was calculated using the sample selection information from the sampling frame and the
second stage weight was based on sample selection information on the listing form. In the
second stage some households out of the selected 20 households in a PSU did not participate
in the survey due to refusals, non-contact or non-completion of interview, etc. The final
sample weight was the product of the fi rst and the second stage weights.
Data Collection
Dates of collection
| Start | End | Cycle |
|---|---|---|
| 2016-10-31 | 2016-11-12 |
Time period(s)
| Start | End | Cycle |
|---|---|---|
| 2016-10-31 | 2016-11-12 |
Mode of data collection
Face_to_Face
Data collection supervision
The roles and resiponsibilities of fieald staff,from interviwers to National supervisors is clearly explained in the" Field operation and administrative manualz".
Questionnaires
The survey instrument for 2016 LFS is the questionnaire that was be administered in CAPI or PAPI (when necessary). The questionnaire consisted of the following sections;
Data collector(s)
| Name | Abbreviation | Affiliation |
|---|---|---|
| Namibia Statistics Agency | NSA |
Data Processing
Data editing
Report generated from STATA software particulary were there were violation of edit rules were reviewed case by case by the subject staff and decision where arrived on how to treat such cases.After the validation process standard variable name were and codes were generateed from the validated dataset.
Data access
Access authorities
| Name | Affiliation | URI | |
|---|---|---|---|
| Namibia Statistics Agency | www.nsa.org.na |
Citation requirements
Namibia Statistics Agency,2017.Namibia Labour force Survey 2016 Report.Namibia Statiastics Agency,Windhoek.
Disclaimer and copyrights
Copyrights
Namibia Labour Force Survey 2016 Report
contacts
Contact(s)
| Name | Affiliation | URI | |
|---|---|---|---|
| Namibia Statistics Agency | www.nsa.org.na |