Identification
IDNO
UGA-UBOS-CLBS-2009
Title
Child Labour Baseline Survey 2009
Country
| Name | Country code |
|---|---|
| Uganda | UGA |
Abstract
The Uganda Government is faced with the challenge of elimination of child Labour in the Country. Child Labour contributes to a violation of the rights of Children to education and protection and it is putting at risk the country's progress by limiting the potential of its workforce. The Child Labour Baseline Survey exercise was carried out in three districts of Rakai, Mbale, and Wakiso districts. Lessons learnt will help to re-design Child Labour intervention programmes for the rest of the districts.
In Uganda, a child is defined as someone below the age of 18 years. Generally speaking the term child Labour refers to involvement of children in the kind of work that is not allowed for them. When measuring Statistics on Child Labour two issues are considered, i.e;
(i) Age of the child;
(ii) The productive activities in which the child is involved, the nature and conditions in which activities are performed including the time spent in the activity.
The main objective of the 2009 child labour baseline Survey was to facilitate the measurement of the levels and nature of child labour in the focus districts. More than half of the population of surveyed districts is below 15 years of age. The proportion of child headship is low in all the districts. The proportion of paid employees and self employed is highest in Wakiso and lowest in Rakai district. Agriculture is the most dominant sector in which people are engaged followed by the trade sector.
The purpose of the 2009 child labour Baseline Survey was to facilitate the measurement of the levels and nature of child labour in the focus districts of Rakai, Mbale and Wakiso. The specific objectives were:
(i) To collect information on the main characteristics of working children and those of the households they live in ( i.e. their demographic composition and details by age/ sex/ ethnicity/ marital status/disability status/orphan hood/ literacy and educational status/ classification by industry occupation and status in employment/ earnings and weekly hours of work/ location of work place/ reasons for not attending school/ reasons for working/ types of unpaid household services done and weekly hours performed/ etc);
(ii) To obtain information to support the analysis of the causes and consequences of children engaged in work, including household earnings and debt, perceptions of parents/ guardians/ children, and the hazards and abuses faced by children at their work;
(iii) To obtain (through FGDs and KIIs) information on
(a) the various forms of child labour prevailing in the districts, particularly on WFCL such as CSEC, street children, children engaged for illicit activities, and forced work by children
(b) the underlying forces leading to the persistence of child labour especially the impact of HIV/AIDS, poverty, adult unemployment, OVC issue, and lack of proper schooling facilities;
(c) Child trafficking
(v) To provide policy makers, researchers and other stakeholders with a comprehensive information and a set of indicators on child labour to guide interventions;
(vi) To act as a basis for the creation of a long -term database on child labour in Uganda.
In Uganda, a child is defined as someone below the age of 18 years. Generally speaking the term child Labour refers to involvement of children in the kind of work that is not allowed for them. When measuring Statistics on Child Labour two issues are considered, i.e;
(i) Age of the child;
(ii) The productive activities in which the child is involved, the nature and conditions in which activities are performed including the time spent in the activity.
The main objective of the 2009 child labour baseline Survey was to facilitate the measurement of the levels and nature of child labour in the focus districts. More than half of the population of surveyed districts is below 15 years of age. The proportion of child headship is low in all the districts. The proportion of paid employees and self employed is highest in Wakiso and lowest in Rakai district. Agriculture is the most dominant sector in which people are engaged followed by the trade sector.
The purpose of the 2009 child labour Baseline Survey was to facilitate the measurement of the levels and nature of child labour in the focus districts of Rakai, Mbale and Wakiso. The specific objectives were:
(i) To collect information on the main characteristics of working children and those of the households they live in ( i.e. their demographic composition and details by age/ sex/ ethnicity/ marital status/disability status/orphan hood/ literacy and educational status/ classification by industry occupation and status in employment/ earnings and weekly hours of work/ location of work place/ reasons for not attending school/ reasons for working/ types of unpaid household services done and weekly hours performed/ etc);
(ii) To obtain information to support the analysis of the causes and consequences of children engaged in work, including household earnings and debt, perceptions of parents/ guardians/ children, and the hazards and abuses faced by children at their work;
(iii) To obtain (through FGDs and KIIs) information on
(a) the various forms of child labour prevailing in the districts, particularly on WFCL such as CSEC, street children, children engaged for illicit activities, and forced work by children
(b) the underlying forces leading to the persistence of child labour especially the impact of HIV/AIDS, poverty, adult unemployment, OVC issue, and lack of proper schooling facilities;
(c) Child trafficking
(v) To provide policy makers, researchers and other stakeholders with a comprehensive information and a set of indicators on child labour to guide interventions;
(vi) To act as a basis for the creation of a long -term database on child labour in Uganda.
Kind of Data
Sample survey data [ssd]
Version
Version number
v1.2: Edited data, second version, for internal use only.
Version Date
2009-09
Scope
Topic Classification
| Topic | Vocabulary | URI |
|---|---|---|
| LABOUR AND EMPLOYMENT [3] | CESSDA | http://www.nesstar.org/rdf/common |
| EDUCATION [6] | CESSDA | http://www.nesstar.org/rdf/common |
Keywords
| Keyword | Vocabulary | URI |
|---|---|---|
| LABOUR AND EMPLOYMENT [3] | CESSDA | http://www.nesstar.org/rdf/common |
| EDUCATION [6] | CESSDA | http://www.nesstar.org/rdf/common |
Coverage
Geographic Coverage
The Child Labour Baseline Survey (2009) was carried out in the districts of Rakai, Wakiso and Mbale.
Unit of Analysis
The Child Labour Baseline Survey 2009 had the following units of analysis: individuals, and households.
Universe
The survey covered all de jure household members aged 5 years and above resident in the household, and all children aged 5 - 17 years resident in the household.
Producers and sponsors
Authoring entity/Primary investigators
| Agency Name | Affiliation |
|---|---|
| Uganda Bureau of Statistics (UBOS) | Ministry of Finance, Planning and Economic Development |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| Government of Uganda | GoU | Main financier |
| International Labour Organisation | ILO | Main financier |
Other Identifications/Acknowledgments
| Name | Affiliation | Role |
|---|---|---|
| Respondents | Communities | Provided the required information |
Sampling
Sampling Procedure
In order to achieve the objectives of the Child Labour Baseline Survey, the study targeted all households with children and communities in the focus districts. The Enumeration Areas (EAs) from the 2002 Population and Housing Census household counts were used as the sampling frame for each of the districts. Each EA was accurately and uniquely identified together with the number of households in it. Independent representative samples were selected from each of the districts using Population proportional to Size (PPS) with the number of households in the EA with children taken as a measure of size.
A representative sample was selected from each of these focus districts. In order to ensure that reliable estimates are got for each district, EAs were distributed among the districts according to the measures of size. Allocation of EAs and households per district was as indicated below:
A representative sample was selected from each of these focus districts. In order to ensure that reliable estimates are got for each district, EAs were distributed among the districts according to the measures of size. Allocation of EAs and households per district was as indicated below:
Response Rate
A total of 1,617 households were selected for the Child Labour Baseline Survey (CLBS) Sample. Out of these, 1,585 households were successfully interviewed, yielding a household response rate of 98 percent. A total of 4,431 children aged 5-17 years were listed from the selected households in the household schedule, of which 4,306 children successfully responded to questions about activity status. This gave a children response rate of 97.2 percent
Data Collection
Mode of data collection
Face-to-face [f2f]
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Uganda Bureau of Statistics | UBOS | Ministry of Finance, Planning and Economic Development |
Data Processing
Cleaning Operations
Due to the need to have the child labour baseline survey records processed fast enough, this exercise started shortly after the commencement of fieldwork. The office editing/coding and data capture process for the survey took approximately 2 weeks. It involved double data entry which ensured that the accuracy of the captured data was checked in the second data capture routine hence increasing on its accuracy. After the data capture machine editing involving structural and consistency edits was carried out before data analysis. The data capture screen was developed using the CSPro (Census and Survey Processing) software.
Other Processing
After machine editing of the captured data, analytical tables were generated from the data. Rounds of checks of the generated tables with the same data set was carried out to ensure accuracy of these tables. This was done both using STATA and the CSPro softwares. The final analysis of the information generated from the CLBS data was carried out on the final accepted tables.
Data Appraisal
Estimates of Sampling Error
The CLBS 2009 was a sample survey and hence likely to be affected by sampling and non-sampling errors. The following was carrying out to minimize on errors at different stages of implementation: Using a standard child labour questionnaire adjusted to national requirements; Ensuring effective supervision during data collection and use of experienced interviewers; Supervising experienced staff used in the data capture process in addition to carrying out double data entry; Drawing the sample from complete frame of EAs with their corresponding number of households ( as distributed by district); Carrying on edits on the captured data before data analysis.
Annex 3 of the final report presents the standard errors, CVs and confidence intervals for selected indicators.
Annex 3 of the final report presents the standard errors, CVs and confidence intervals for selected indicators.
Data access
Contact
| Name | Affiliation | URI | |
|---|---|---|---|
| Uganda Bureau of Statistics | Ministry of Finance, Planning and Economic Development | ubos@ubos.org | www.ubos.org |
Confidentiality Declaration
Confidentiality of respondents is guaranteed by Article 19 of The Uganda Bureau of Statistics Act, 1998.
Before being granted access to the dataset, all users have to formally agree:
1. To make no copies of any files or portions of files to which s/he is granted access except those authorized by the data depositor.
2. Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit not identified on public use data files.
3. To hold in strictest confidence the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in her/his analysis will be immediately brought to the attention of the data depositor.
Conditions
The dataset is available as a Public Use Dataset. It is accessible to all for statistical and research purposes only, under the following terms and conditions:
1.The data and other materials will not be redistributed or sold to other individuals, institutions, or organizations without the written agreement of Uganda Bureau of Statistics.
2.The data will be used for statistical and scientific research purposes only. They will be used solely for reporting of aggregated
information, and not for investigation of specific individuals or organizations.
3.No attempt will be made to re-identify respondents, and no use will be made of the identity of any person or establishment discovered inadvertently. Any such discovery would immediately be reported to Uganda Bureau of Statistics.
4. No attempt will be made to produce links among datasets provided by Uganda Bureau of Statistics, or among data from Uganda Bureau of Statistics and other datasets that could identify individuals or organizations.
5. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from Uganda Bureau of Statistics will cite the source of data in accordance with the Citation Requirement provided with each dataset.
6. An electronic copy of all reports and publications based on the requested data will be sent to Uganda Bureau of Statistics.
7. The original collector of the data, Uganda Bureau of Statistics, and the relevant funding agencies bear no responsibility for
use of the data or for interpretations or inferences based upon such uses.
1.The data and other materials will not be redistributed or sold to other individuals, institutions, or organizations without the written agreement of Uganda Bureau of Statistics.
2.The data will be used for statistical and scientific research purposes only. They will be used solely for reporting of aggregated
information, and not for investigation of specific individuals or organizations.
3.No attempt will be made to re-identify respondents, and no use will be made of the identity of any person or establishment discovered inadvertently. Any such discovery would immediately be reported to Uganda Bureau of Statistics.
4. No attempt will be made to produce links among datasets provided by Uganda Bureau of Statistics, or among data from Uganda Bureau of Statistics and other datasets that could identify individuals or organizations.
5. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from Uganda Bureau of Statistics will cite the source of data in accordance with the Citation Requirement provided with each dataset.
6. An electronic copy of all reports and publications based on the requested data will be sent to Uganda Bureau of Statistics.
7. The original collector of the data, Uganda Bureau of Statistics, and the relevant funding agencies bear no responsibility for
use of the data or for interpretations or inferences based upon such uses.
Citation requirement
"Uganda Bureau of Statistics, Child Labour Baseline Survey (CLBS 2009), Version 1.2 of the public use dataset (September 2009), provided by the Uganda National Data Archive. www.ubos.org/nada"
Disclaimer and copyrights
Disclaimer
The user of the data acknowledges that the Uganda Bureau of Statistics and the relevant funding agency(ies) bear no responsibility for use of the data or for interpretations or inferences based upon
such uses.
such uses.
Copyright
(c) 2009, Uganda Bureau of Statistics
Contacts
Contact
| Name | Affiliation | URI | |
|---|---|---|---|
| Uganda Bureau of Statistics | Ministry of Finance, Planning and Economic Development | ubos@ubos.org | www.ubos.org |
Metadata production
Document ID
DDI-UGA-UBOS-CLBS-2009-v01
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Uganda Bureau of Statistics | UBOS | Ministry of Finance, Planning and Economic Development | Documentation of the survey/census |
| Partnership in Statistics for Development in the 21st Century | PARIS21/OECD | World Bank | Review of the documentation |
Date of Production
2010-09-13