NAM_1999_NCAS_v01_M
Child Activities Survey 1999
Name | Country code |
---|---|
Namibia | NAM |
Child Labor Survey [hh/cls]
The objective of 1999 NCAS was to provide baseline data on the activities of the child population in Namibia for planning purposes, policy implementation and monitoring and the evaluation of government development programmes aimed at improving the status of the vulnerable socio -economic groups of the Namibian child population. More specifically, the survey was designed to:
The 1999 NCAS was conducted on a sample basis covering the whole country in February/March 1999. It was expected that the 1999 NCAS would provide baseline data on child activities in the labour force that would enhance the development of the youth through appropriate policy formulation, development planning, plan monitoring and evaluation.
Sample survey data [ssd]
The 1999 Namibia Child Activities Survey covered the following topics:
National
The target group for this survey was the population of children in the age group 6–18 years living in private households. Children living in institutions such as hospitals, hostels, barracks and prisons were not covered by the survey.
Name | Affiliation |
---|---|
Ministry of Labor | Government of Republic of Namibia |
Central Bureau of Statistics (CBS) | National Planning Commission, Government of Republic of Namibia |
Sample design
The design for the survey was a stratified two-stage sample design where the first stage units are geographical areas (PSU's) which are selected with probability proportional to size. The size measure of the PSU is the 1991 census household counts for most of the strata. There were few strata, which were upgraded with the recent household counts. The second stage units are the households selected with systematic equal probability sampling from a current list of households within the PSU, prepared just before the interview.
Sample size
The 1997 Labour Force Survey data was used to produce some rough indicators of the target population. This indicated that at national level the average number of children in 6-18 year age-group per household was about 1.7 and the average number of employed children in the same age -group per household was about 0.1 which was very small. Since the working children are of primary importance for this survey, to capture a reasonable sample of them, a large sample of households has to be selected.
The various sections of the questionnaire are as follows:
Section A: Identification particulars of the household, including its geographical location.
Section B: Information on all persons who were members of the household during the reference night.
Section C: Information on the education for those aged 6 years and above.
Section D: Information on the current activities of the adult population 19 years and above.
Section E: The usual activities of children aged 6 to 18 years
Section F: Information on the current activities of children aged 6 to 18 years
Section G: The employed children and the nature of their work
Section H: The unemployed children (first-time unemployed/ job seekers and those who have worked before)
Section I: Education and child economic activities.
Section J: Information on the working conditions of the employed children and the unemployed children who had worked before.
Section K: The housing conditions in which children live.
Section L: Information on the sources of household income
Section M: Control information
Start | End |
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1999-02 | 1999-03 |
The accuracy of survey estimates is generally taken to mean the closeness of that estimate to the exact or true value. The true value, which is mostly unknown, is the value that would be obtained, if data could be collected and processed without any errors for all of the units in the population. The error of a particular survey estimate is the difference between that estimate and the true value of the quantity being estimated.
This error can mainly be divided into two groups of errors: Sampling errors and nonsampling errors.
i. Sampling errors
Sampling errors arise from the fact that the observations are confined to a sample of the population rather than the whole population. The sampling errors can be minimised within the given budget if a suitable design is adopted and this error can always be calculated if a probability sample is used.
ii. Non-sampling errors
Apart from the sampling errors, non-sampling errors can arise at every stage during a survey operation. Unlike the sampling errors these non-sampling errors cannot be measured. We can only guess or feel about them. It is vitally important that these errors are controlled. If not properly controlled, the whole survey results may not be of any use. Hence everyone involved in the survey should clearly know what he or she is supposed to do and do that very carefully and correctly.
Use of the dataset must be acknowledged using a citation which would include:
Example:
Namibia Ministry of Labour and Central Bureau of Statistics (CBS). Namibia Child Activities Survey 1999. Ref. NAM_1999_NCAS_v01_M. Dataset downloaded from [source] on [date].
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.
DDI_NAM_1999_NCAS_v01_M_WB
Name | Role |
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World Bank, Development Economics Data Group | Documentation of the study |
2013-03-13
Version 01 (March 2013)