NAM_2012_LFS_v01_M_v01_A_PUF
Labour Force Survey 2012
Name | Country code |
---|---|
Namibia | NAM |
Labor Force Survey [hh/lfs]
Sample survey data [ssd]
The units of analysis in the survey includes households and individuals
v1: Edited, anonymised dataset for public distribution
Sensitive variables have been replaced with missing. Recoded variables designated _r have been released in place of the sensitve variables
2013-04-09
Version 1 of the NLFS was produced in March 2013
The survey collected data on the composition of households and particulars of each household member, dwelling type, and number of domestic workers. Person level data collected included education levels, employment status and employment history, working hours and other working conditions, self-employment, unemployment and job-seeking, and income data (individual and household).
Topic | Vocabulary | URI |
---|---|---|
employment [3.1] | CESSDA | http://www.nesstar.org/rdf/common |
unemployment [3.5] | CESSDA | http://www.nesstar.org/rdf/common |
working conditions [3.6] | CESSDA | http://www.nesstar.org/rdf/common |
The survey had national coverage. The lowest level of geographic aggregation of the data is Region (the 13 regions in the country).
Provincial and metropolitan level
The universe of the survey was all household members. Homeless people and the people who are living in institutions (institutional population) are excluded.
Name | Affiliation |
---|---|
Namibia Statistics Agency | Government of Namibia |
The National Sampling Frame maintained by the NSA is based on the Enumeration Areas (EAs) of the 2011 Population and Housing Census and the households within the EAs. The frame was revised and updated in July 2011. The revised frame now has 6,104 EAs or PSUs. Each PSU consists of between 40 and 120 households. The frame was stratified first by region, and then by urban/rural areas within each region. A probability sample of 506 PSUs was selected proportionately across the regions in the first stage using the probability proportional to size sampling procedure together with systematic sampling. Within each region PSUs were selected randomly to achieve the number allocated for that region. Sample size of households was increased to cater for more reliable estimation at the regional level than in previous labour force surveys. At the field level, 8,906 of 9,108 sampled households were visited and interviewed, resulting in 98% coverage.
The survey instrument for the Namibia Labour Force Survey 2012 was a single questionnaire. The questionnaire collected data on the following:
Part A: Field administrative information
Part B: Household composition and particulars of each household member (relationship to household head, age, citizenship, marital status and receipt of government grants)
Part C: (for all persons 6 and above) Education data (schooling status, highest education level, main language)
Part D: (for all persons 8 and above) Employment data (employment status, work activity, non-wage labour, reasons for not working)
Part E: (for all persons 8 and above) Employment data (industry and occupation, place of work, full/part-time employment, self-employment, employment sector, payment in kind, deductions, work in multiple jobs, job-seeking strategies)
Part F: Working hours
Part G: Employment conditions (employers' social security contributions, employment contracts, income and payment rate
Part H: Employers and the self-employed (registration, business accounts, size of workforce, business turnover)
Part I: (for all persons who had not worked in the previous 7 days) The unemployed (job-seeking strategies, reasons for not working, reasons for not looking for work, rediness to work, length of unemployment, occupation and industry of previous employment, support for the unemployed)
Part J: (administered only to the household head/main respondent) Dwelling type, tenure, main/secondary household income source, total household income (last month), employment of domestic workers)
Part K: (completed by the coder/editor/supervisor) Data collection and data entry control information
Start | End |
---|---|
2012-10-16 | 2012-10-27 |
A pilot survey to test the the questionnaire as revised after a stakeholders' workshop was done in both rural and urban areas in the three regions of Khomas, Kavango and Ohangewena during September 2012. The pilot survey was intended to test the time the questionnaire would take to complete, as well as how well both enumerators and respondents understood the questionnaire. It was particularly meant to test their understanding of the new questions designed to track subsistence farming and other forms of non-formal employment.
Data validation included checking for invalid questionnaire numbers, invalid geo-codes, missing data values, incorrect data values, and duplicate questionnaire numbers. Consistency checks involved checking of validated records against logical rules and subsequent editing where necessary. Industies and occupations were also coded during data editing.
Organization name | Affiliation | URL |
---|---|---|
Namibia Statistics Agency | Government of Namibia | http://www.nsa.org.nm |
Name | Affiliation | URL |
---|---|---|
Namibia Statistics Agency | Government of Namibia | http://www.nsa.org.nm |
Public use files, accessible to all
Namibia Statistics Agency. Namibia Labour Force Survey 2012 [dataset]. Version 1. Windhoek: Namibia Statistics Agency [producer and distributor], 2013.
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.
Copyright, NSA 2012
Name | Affiliation | URL | |
---|---|---|---|
The Namibia Statistics Agency | Government of Namibia | http://www.nsa.org.na/contactus/ | http://www.nsa.org.na/index.php |
DDI_NAM_2012_LFS_v01_M_v01_A_PUF
Name | Affiliation | Role |
---|---|---|
Namibia Statistics Agency | Government of Namibia | Metadata Producer |
2013-04-03
Version 2:
Reflecting that this is the Public Release version of the data.
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