Between 2000 and 2024, the number of children aged 5 to 17 involved in child labour dropped from ***** million to ***** million, marking a reduction of over *** million. Hazardous work also declined, from ***** million in 2000 to 54 million in 2024.

In 2023, the number of child workers in Indonesia amounted to around **** million people. This indicated a decrease of approximately ** thousand people compared to 2021. Child labor in Indonesia is still an ongoing issue due to poverty and a lack of access to education in some parts of the country. The pandemic notably affected the problem, as the number of child workers increased in 2020. Although the numbers have decreased since then, they remain higher than the pre-pandemic level. The challenges of child labor in Indonesia The persisting issue of child labor in Indonesia stems from different factors such as economics, social norms, and education. Poverty acts as a crucial driving factor in the case of child labor practices. Many children are pushed to stop attending school and get to work to help the family’s income, as over **** percent of the Indonesian population still lives below the poverty line. The islands in the eastern part of the archipelago, such as Maluku and Papua, had the highest poverty rates of over ** percent in 2022. It was also found that Papua had the highest share of students who had to attend school and work simultaneously. Moreover, in certain areas of the archipelago, cultural beliefs are linked to entering the labor force at an early age, with some believing this to help shape children to have better life opportunities in the future. The lack of awareness about the effects of child labor and some companies not complying with the laws against child labor further exacerbate the issue. Child labor in the Indonesian agricultural sector Child labor in Indonesia is more prevalent in rural areas. As of 2022, there has been an increase in the child labor rate in Indonesia’s rural areas in the agricultural sector, which most commonly offers informal employment with minimal employment protections. Child workers in this sector face higher risks of being exposed to harmful chemicals used in pesticides and fertilizers, causing raised concerns about their safety. Despite the efforts to overcome this issue, such as child protection laws, government allocations for infrastructure, and government allocations for education to improve living conditions and educational access, the need for strategic initiatives to combat child labor in Indonesia remains.

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.

Geographic coverage

The Child Labour Baseline Survey (2009) was carried out in the districts of Rakai, Wakiso and Mbale.

Analysis unit

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.

Kind of data

Sample survey data [ssd]

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:

Mode of data collection

Face-to-face [f2f]

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.

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

Sampling error estimates

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.

The number of children involved in child labor across the Asia-Pacific region decreased continuously between 2008 and 2020. In 2020, approximately **** million children aged **** to 17 years were involved in child labor in APAC, equivalent to a *** percent share of children in the age group. This marked a decrease from around ***** million in 2008. Projected to decrease further over the next decade, the number is set to reach about **** million in 2030.

Abstract

Bangladesh Bureau of Statistics (BBS) has conducted the National Child Labour Survey (NCLS) in 2002-03. NCLS 2002-2003 covered the entire country and was undertaken to provide reliable estimates of economically active children aged 5-17 years and child labour at national, urban and rural levels, as well as of children engaged in non-economic activities. The sample size and the coverage of the survey as such that it could furnish reliable key estimates by some administrative units such as divisions and regions/former districts. The survey has been designed to obtain estimates on a number of variables or parameters, particularly in relation to economic and non-economic activities of the children in age group 5-14 under usual circumstances and 15-17 in the case of worst forms of child labour (WFCL).

Objectives of the survey The main objective of the survey is to collect comprehensive data on working children aged 5 to 17 years. To achieve the objective, the survey instrument (questionnaire) has been designed as such to identify all activities of the children, economic or non-economic and these are broadly classified as – · attending school only (no other activity); · attending school and also engaged in economic activity; · attending school and also engaged in non-economic activity; · engaged in economic activity only; · engaged in non-economic activity only; · engaged both in economic and non-economic activities; · other children (sick, disabled or reported as idle); · not attending school and · not attending school and also not engaged in any economic and/or noneconomic activities.

The specific objectives of the survey are the following: i) to estimate the number (national, rural, urban etc) of working children and child labour by age, gender, education and residence, etc; ii) to estimate the number of working children by occupation, industry, status in employment etc. at 1- 4 digit Bangladesh Standard Occupation Classification (BSOC) and Bangladesh Standard Industrial Classification (BSIC) level respectively,in the line of the International Standard Industrial Classification of all economic activities (ISIC-Rev 3) and the International Standard Classification of Occupations (ISCO, 1988); iii) to assess the demographic and socio-economic characteristics of the families of working children; iv) to assess the social characteristics and working environment etc. of children; v) to assess average earnings/wages, remuneration, hours of work etc; vi) to assess occupational risk and health hazards, injuries, diseases and extent of disability etc. vii) to assess the extent of exploitation of working children in terms of hours of work and wages earned

Geographic coverage

National

Analysis unit

• Household
• Individual
• Children age 5 to 17

Kind of data

Sample survey data [ssd]

Sampling procedure

Sampling Design

The NCLS was undertaken using Integrated Multipurpose Sample (IMPS) design The IMPS design is constructed on the basis of the Bangladesh population census 2001. It consists of 1,000 primary sampling units (PSUs) or enumeration blocks (EBs). Out of the total sample PSUs/EBs, 642 PSUs are selected from rural areas, 80 PSUs from statistical metropolitan areas (SMAs) and 278 PSUs from other urban areas or municipalities. In the rural areas, the PSU/EB is defined as a mouza, or the PSU/EB is a part of a mouza, or the combination of neighbouring mouzas; while in the urban areas, the PSu/EB is a mahalla, or a part a part of a mahalla, with an average number of 200 households per PSU. An enumeration block or PSU is constructed on the basis of contiguous census EAs (Enumeration Area) such that each EB/PSU is comprised of 180-220 households. There are 2 stages of stratification. At first 6 administrative divisions (The administrative setup of Bangladesh according to hierachy are as follows:- Division, district/zila, Thana/Upazila or Subdistrict, Union/ward and Village/mahalla. Division comprises of number of district/zila, district/zila consists of number of thana/upazila and Union consists of number of Villages. Mouza is a lowest unit for land revenue purpose. Bangladesh is now comprises of 6 divisions. In rural areas, the lowest unit is called village and in a urban areas it is called as mahalla) are treated as super strata and within these super strata there is a second stage of stratification comprising (i) rural areas, (ii) statistical metropolitan areas (SMAs) and municipalities. The SMAs and municipalities constitute urban area or urban stratum. The IMPS design consist of 16 strata which are : i) six rural strata for 6 divisions; ii) six urban strata for 6 divisions; and iii) four SMA strata for 4 metropolitan cities.

Sampling Scheme

The sampling scheme is PPS with proportional allocation within 16 strata at three stages with one unit selected at each stage. Three different stages are considered to select PSUs/EBs for each strata. Out of these three stages, two stages are dummy stages such that the selection of PSUs are essentially drawn by a single stage cluster sampling procedure. These stages are : i) Thanas are selected at first stage, (ii) Unions/Wards are selected at second stage and (iii) mouza/mahalla are selected at third stage. Then PSU/EBs are determined from the selected mouza by dividing the mouza or by combining a neighboring mouza with the selected mouza so as to make the size of the PSU/EB of around 200 households.

Note: See detailed sampling design in survey report which is presented in this documentation

Mode of data collection

Face-to-face [f2f]

Cleaning operations

Preliminary checking of entries in the filled-in questionnaires were done by the supervisors and enumerators at field level. Thorough manual editing was carried out by the trained editors under the strict supervision of the officers in Dhaka headquarter. Coding of occupation and industry was done as per Bangladesh Standard Occupation Classification (BSOC) and Bangladesh Standard Industrial Classification (BSIC) at 3 and 4 digit level respectively. Other items, such as, geo-codes and open-ended answers, were also coded in accordance with their respective code lists.

The edited and coded questionnaires were sent to Computer Wing, BBS for data processing. Computer edit was done to check internal consistency, omissions and errors. The statistical tables were produced in micro computer environment of the BBS. Each individual record was tallied and expanded using sample weights to obtain national estimate. The weights were calculated on the basis of the estimated population as on January 1, 2003.

Sampling error estimates

Estimate of standard errors and confidence interval information is available in Table 3 of the final report which is presented in this documentation.

Percentage of children aged 5-14 years engaged in child labour (by sex, place of residence and household wealth quintile), including country breakdown

Definition: Percentage of children 5–17 years old involved in child labour at the moment of the survey. A child is considered to be involved in child labour under the following conditions: (a) children 5–11 years old who, during the reference week, did at least one hour of economic activity or at least 28 hours of household chores, (b) children 12–14 years old who, during the reference week, did at least 14 hours of economic activity or at least 28 hours of household chores, (c) children 15–17 years old who, during the reference week, did at least 43 hours of economic activity or household chores, and (d) children aged 5–17 years old in hazardous working conditions.

Abstract

The Royal Government of Cambodia has placed the issue of child labour 2001 high on its agenda, and in recent years has made a large number of interventions, in cooperation with international, regional organizations, NGOs, and other partners. For Cambodia, like the rest of the world, there are many issues that need to be addressed in order to ensure the effective abolition of child labour. Eliminating child labour in Cambodia is one of the most urgent challenges of our time.

Geographic coverage

National (24 provinces) - Phnom Penh, Other Urban and Other Rura

• Urban/Rural

Analysis unit

households, individuals and children aged 5-17 years

Universe

The survey covered all household members and children aged 5 to 17 years residing in the household.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample for CCLS 2001 was a stratified sample selected in two stages. At the first stage, the villages (primary sampling units or PSUs) were selected from the list of villages for every stratum within the domains listed in order of: province/city, district, commune and village. The method of circular systematic sampling with the probability of inclusion of a village proportional to its size (CSS-PPS) was used to select the villages. In addition to the code for the above, the sampling frame contained identification particulars: the name of the villages as well as the number of households in the village as known at that time. The number of households in the village identified in the sampling frame was taken as its size. The actual number of households in selected villages was obtained later by direct listing. In this method, the actual number of households was generally different from the number recorded in the sampling frame. To avoid ambiguity, the number of households in a village as recorded in the sampling frame will always be referred to as its size. In other words, the number of households in the village was used as the measure of size. Sample village selection was done through the use of a computer program.

At the second stage of selection, for each sample village, or PSU (except for large villages), a field listing operation was undertaken. Large villages comprising about 210 households, based on the current household estimates by the village leaders, were segmented first. A segment was then chosen randomly and a complete listing of households was prepared. This entailed carrying out a complete canvass of the PSU in order to make a current and complete listing of households contained within. The procedure involved creating a sketch map of the PSU where physical boundaries in the village and the location of each household were sketched. Canvassing entailed a systematic covering of the entire village following a prescribed path of travel in order to make sure that all housing units in which the households reside were accounted for. After the listing operation was completed, a fixed sample size of 20 households was selected in each PSU. The selection was carried out using circular systematic random sampling with a random start (CSS).

Detailed discussion is provided in Sampling.pdf document.

Mode of data collection

Face-to-face [f2f]

Research instrument

The Cambodia Child Labour survey 2001 used three forms:

Form 1: Questionnaire for Households

Form 2: Questionnaire for Parents/Guardians of Children Ages 5 to 17 in the Household

Form 3: Questionnaire for Children Ages 5 to 17 in the Household

The household questionnaire (Form 1) included demographic characteristics of all household members, migration status of the household (in the last five years), migration status of children 5 to 17 years of age, housing conditions, household income and expenditures, usual economic activity of household members 5 years old and over during the last 12 months, current economic activity of household members 5 years and over during the past 7 days, earnings and hours of work of household members 5 years old and over who worked (according to the main activity during the past 7 days and other activities during the past 7 days).

In the questionnaire about children aged 5 to 17 in the households (Form 2), queries all children 5 to 17 years old were addressed to parents, guardians, or responsible proxies in the household where the child usually resides. This form contained questions on housekeeping activities/household chores of children 5 to 17 years old; children 5 to 17 years old who were idle/did not do anything during the past 7 days; health and safety of children 5 to 17 years old who had worked at any time; place of work/employer of children 5 to 17 years of age currently working; children 5 to 17 years working as employees for someone else for payment in cash or in kind or without any payment; perception of parents/guardians or other relatives with whom the working child usually resides.

In the questionnaire for children (Form 3), the questions were addressed to children 5 to 17 years of age: hours actually worked, economic activities, age started to work for the first time, currently or usually worked, health and safety of working children, working conditions and perceptions of working children.

The statistical information on hazardous child labour was collected through an establishment survey. Selection of establishments was based on the results of the household-based child labour survey, and establishments found to employ child labour were identified for a follow-up survey by interviewers with the employers and the children identified as child workers.

Cleaning operations

Data editing took place at the following stages of data processing:

1. On the field: Manual editing on the done by supervisors.

2. Questionnaire reception at NIS: Manual editing and coding done by 15 manual editing personnels at NIS.

3. During data entry: Re-entry of data in the questionnaires to confirm legitimacy of the entries.

4. Correctness, completeness, range validity and consistency checking: An editing program was developed to check and valiadate data files and produce error printouts from modification.

5. Verification of database with other sources

6. Data quality tabulation: With the preliminary tables generated, data validation work was carried out and range checks built were reviewed.

Processing of CCLS 2001, from data entry to tabulations, was done with the use of the Integrated Microcomputer Processing System (IMPS) of the US Bureau of Census. Twenty (20) Machine Encoders (including 2 Supervisors) were trained before the start of machine encoding activities.

Response rate

Not Computed

Sampling error estimates

Since most of the estimates from the survey are in the form of weighted ratios, variances for ratio estimates were thus presented.

Please see Appendix A in the report on Cambodia Child Labour Survey 2001.

Geographic coverage

National coverage

Analysis unit

households/individuals

Kind of data

survey

Frequency of data collection

Yearly

Sampling procedure

Sample size:

Geographic coverage

National coverage

Analysis unit

households/individuals

Kind of data

survey

Frequency of data collection

Yearly

Sampling procedure

Sample size:

Abstract

The main objectives of the CLF-CLS 2011-2012 are to collect detailed information on the country's labour force of persons 15 years old and above and children 5 to 17 years old disaggregated by age, gender, region, sector and social category. The survey provides information on the national labour market that can then be used to develop, manage and evaluate labour market policies and programmes. Also, the survey provides detailed information on child workers and hazards at work.

It is intended to promote a gender mainstreamed analysis of the labour market and compile national and provincial statistics relating to informal employment, working poor and vulnerable employment. These statistics will be especially useful to government as it attempts to identify the problems that Cambodians face in the area of employment. With this information available, planners and policy makers will then be better placed to develop policies and programmes to improve the welfare of the people and some information on working people and child labour.

Geographic coverage

National, Urban, Rural, All of provinces in Cambodia (24 Provinces)

Analysis unit

Individuals

Universe

1. Geographic part: All members from households in Cambodia
2. Education and labour force parts: All members aged 5 and over from households in Cambodia

Kind of data

Sample survey data [ssd]

Sampling procedure

The Cambodia Labour Force and Child Labour Survey 2011-12 covered 24 Capital/provinces in the country and involved 600 Enumeration Areas (EA) randomly selected as primary sampling units, or PSUs, and 9,600 households randomly selected as secondary sampling units, or SSUs. Each EA was randomly selected 16 sample household. Totally, there were 9,600 households to be interviewed.

The sampling frame was based on the village population data files from the 2008 general population census, conducted by the NIS. The CLF-CLS 2011-12 was undertaken in two stages with EAs as the primary sampling units and households as secondary sampling units. It consists of 600 primary sampling units (PSUs) or EAs. Out of the total sample EAs, 54 EAs were allocated for urban areas and the remainder 546 EAs for rural areas.

For details please refer to the document entitled "Report on Selection of Sampled Households from the Sampling Frame for Cambodia Labour Force and Child Labour Survey 2011-2012".

Mode of data collection

Face-to-face [f2f]

Research instrument

The following are the LFCLS forms used during the field enumeration and a brief outline of the fieldwork procedures:

2.1 Listing Sheet

This is a sheet containing a list of the buildings, housing units and households within an enumeration area (EA). Other information pertaining to population of households were also recorded.

Listing sheet was used to record all households in the village or part thereof selected for household enumeration. The current list of households was necessary for sampling households and also as an input to derive household weights

2.2 Questionnaire

The Cambodia Labour Force and Child Labour questionnaire consists of a cover page, which contains general information on the household, followed by the 12 sections:

A. Household composition and characteristics of household members B. Literacy and Education
C. Training within the last 12 months (outside of the general education system) D. Current activities E. Characteristics of the main job/activity in the last 7 days F. Characteristics of the secondary job/activity in the last 7 days G. Hours of work H. Underemployment I. Job search J. Occupational injuries within the last 12 months K. Participation in production of goods for use by own household L. Other activities

Cleaning operations

All completed questionnaires were brought to NIS for processing. Although completed questionnaires were checked and edited by supervisors in the field, specially because of the length of questionnaires and the complexity of the topics covered the need for manual editing and coding by trained staff was accepted as an essential priority activity to produce a cleaned data file without delay. In all 4 staff comprising 3 processing staff and 1 supervisor were trained for two days by the project staff. An instruction manual for manual editing and coding was prepared and translated into Khmer for the guidance of processing staff.

In order to produce an unedited data file, keying in the data as recorded by field enumerators and supervisors, (without subjecting data to manual edit as required by the Analysis Component Project staff), it was necessary to structure manual editing as a two-phase operation. Thus in the first phase, the processing staff coded the questions such as those industry, and occupation which required coding. Editing was restricted to selected structural edits and some error corrections. These edits were restricted to checking the completeness and consistency of responses, legibility, and totaling of selected questions. Error corrections were made without canceling or obliterating the original entry made by the enumerator, by inserting the correction close to the original entry.

Much of the manual editing was carried out in the second phase, after key entry and one hundred percent verification and extraction of error print outs. A wide range of errors had to be corrected which was expected in view of the complexity of the survey and the skill background of the enumeration and processing staff. The manual edits involved the correction of errors arising from incorrect key entry, in-correct/ failure to include identification, miss-coding of answers, failure to follow skip patterns, misinterpretation of measures, range errors, and other consistency errors.

Response rate

Despite the length of the questionnaire, the respondents cooperated with the survey staff and provided answers to both questionnaires and it was possible to achieve a 100% response rate. At this stage it is not possible to comment on item non-response, and completeness of information provided by the respondents, and the respondent's fatigue arising from the length of the interviews which may have had a bearing on these issues.

Abstract

The Labour Force and Child Labour Force Survey 2013 was conducted by the Bangladesh Bureau of Statistics to provide reliable estimates on the labor force participation in the country at the national and sub-national levels. In 2013, this survey had two components: labor force and child labor.

The labor force component covered population age 15 or older living in the sampled households to obtain estimates on their economic and non-economic activities.

The child labor component was included to estimate the employment of population age 5 to 17, their conditions at the work place, and to probe and diagnose the circumstances leading to the existence of child labor in the country.

The survey covered the randomly selected sample of 36,242 households from 1,512 PSUs/sample enumeration areas distributed across all 64 districts.

Geographic coverage

National coverage

Analysis unit

• Household members 5 years old and older.

Institutional dwellings (hotels, hospitals, prisons, welfare homes, etc.) were excluded from the survey.

Universe

Population age 5 and above

Kind of data

Sample survey data [ssd]

Sampling procedure

The frame used for the selection of the sample for the survey was based on the Population and Housing Census 2011.

The sampling frame was made of Enumeration Areas (EAs), contiguous geographical areas of land with identifiable boundaries. On average, each EA has between 80 and 120 households. The sample has 1,512 PSUs/EAs spread all over the country, and covering all socio-economic classes, thus representative of the population. The survey was distributed into 21 domains rural, urban, and city corporations of seven divisions. From each selected PSU/EA, an equal number of 24 households were selected systematically, with a random start. A two-stage stratified cluster sampling design was adopted. The units for the first stare sample selection were the EAs and the households at the second stage.

Mode of data collection

Face-to-face [f2f]

Geographic coverage

National coverage

Analysis unit

households/individuals

Kind of data

survey

Frequency of data collection

Yearly

Sampling procedure

Sample size:

The data set is the one used in the paper "Estimating the prevalence of child labour in the cocoa industry via indirect elicitation methods: A mixed-methods study" by Lepine et al. It contains data collected from 1,741 cocoa producers working in Côte d’Ivoire to estimate whether child labour prevalence could be elicited from parents using indirect elicitation methods. The data set includes child labour prevalence capturing hazardous child labour levels elicited via direct questioning versus using a list experiment and a newly developed nonverbal method called ‘colorbox’.

Geographic coverage

National coverage

Analysis unit

households/individuals

Kind of data

survey

Frequency of data collection

Yearly

Sampling procedure

Sample size:

Vietnam VN: Children in Employment: % of Children Aged 7-14 data was reported at 10.900 % in 2012. This records a decrease from the previous number of 13.000 % for 2011. Vietnam VN: Children in Employment: % of Children Aged 7-14 data is updated yearly, averaging 13.000 % from Dec 2006 (Median) to 2012, with 3 observations. The data reached an all-time high of 21.300 % in 2006 and a record low of 10.900 % in 2012. Vietnam VN: Children in Employment: % of Children Aged 7-14 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Vietnam – Table VN.World Bank.WDI: Labour Force. Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey.; ; Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.; ;

In 2020, 21.6 percent of children aged from 5 to 17 years in Africa were in child labor. The proportion of working 5-14 year olds in the Asia and Pacific region was at *** percent in the same year.

It is prohibited by law - Take immediate and effective measures to eradicate forced labour, end modern slavery and human trafficking and secure the prohibition and elimination of the worst forms of child labour, including recruitment and use of child soldiers, and by 2025 end child labour in all its forms.

Venezuela VE: Children in Employment: % of Children Aged 7-14 data was reported at 3.911 % in 2013. This records a decrease from the previous number of 5.100 % for 2006. Venezuela VE: Children in Employment: % of Children Aged 7-14 data is updated yearly, averaging 5.250 % from Dec 2003 (Median) to 2013, with 4 observations. The data reached an all-time high of 9.100 % in 2003 and a record low of 3.911 % in 2013. Venezuela VE: Children in Employment: % of Children Aged 7-14 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Venezuela – Table VE.World Bank: Labour Force. Children in employment refer to children involved in economic activity for at least one hour in the reference week of the survey.; ; Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.; ;

The ILO Office for Pacific Island Countries works with the nine ILO member states in the region- Fiji, Kribati, Marshall Islands, Papua New Guinea (PNG), Palau, Samoa, Solomon Islands, Tuvalu and Vanuatu- and also provides technical support to the other Pacific Island Countries. Since 2008, PNG has benefitted from the European Commission funded and ILO implemented child labour project called TACKLE (Tackling Child Labour through Education) implemented in 12 countries (including eight countries in Africa, two in the Caribbean and Fiji and Papua New Guinea in the Pacific).In the Pacific, the TACKLE project strengthened the capacity of the Fiji and PNG governments, social partners and civil society groups to implement policies and strategies to address child labour issues, including conducting research and structured technical training, implementing legislative reviews, coordinating resource sharing platforms, raising awareness and advocacy with tri-partite partners, establishing child labour inspections, and implementing direct actions with children in child labour, children at risk, families, schools and communities.

Geographic coverage

National coverage

Analysis unit

households/individuals

Kind of data

survey

Frequency of data collection

Yearly

Sampling procedure

Sample size: