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Institute of Labour Market Information and Analysis (ILMIA)
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What is the function of ILMIA?

ILMIA serves as an information centre for labour data and analysis for the Malaysian labour market. At ILMIA, we are responsible for ensuring that data is accurate and up to date as well as facilitating data sharing with users. ILMIA is also the agency responsible for conducting research / studies on the labour market in Malaysia. The results of these studies will be published and used as a guide for policy-making relating to national labour.

What kind of data can be obtained from ILMIA?

Among the data that are available are data on key labour market indicators, supply and demand by economic sectors and NKEAs, average wage according to sectors, and skills by occupation.

Who uses ILMIA Portal?

ILMIA aims to inform users that are government, independent researchers, self-employed and employers, employees, students and public. The ILMIA portal can be used by all categories of user and strives to use language that is simple, non-technical and easily understood by all.

From where does ILMIA source the data that it analyses?

Data sources are obtained principally from several government agencies such as the Department of Statistics, Ministry of Education, Bank Negara Malaysia, the Economic Planning Unit, Ministry of Human Resources and others, including the private sector if made available.

What is the difference between the terms 'Labour Force' and 'Workforce'?

The term 'labour force' refers to all people in Malaysia aged between 15 and 64 years who are at work or unemployed. The 'Workforce' is another category which includes those who do any work for pay, profit or family gain (whether as employer, employee, self-employed or unpaid family worker).

What is the definition of 'Unemployment' and the 'Unemployment Rate'?

  • 'Unemployment' means the population aged between 15 and 64 years in the labour force category who are willing to, and actively looking for, work.
  • 'Unemployment rate' means the number of unemployed compared to the total labour force expressed as a percentage.

What is meant by 'Outside The Labour Force' and how does it differ from unemployment?

'Outside the labour force' refers to those who are not classified as employed or unemployed, such as housewives, students, retirees and those not interested in finding employment. Unemployed, on the other hand, means those who have yet to get a job but are willing to, and actively seeking, work.

Is the unemployment rate in Malaysia better than in other countries?

Overall, the unemployment rate in Malaysia is on average 3.4% (2016). This rate is lower than that in Australia (5.8%) and Brazil (5.6%). Malaysia's unemployment rate is basically stable and some would consider that full employment in the economy has been achieved. Although, in principle, a lower unemployment rate indicates the economy is steady, the unemployment rate will not reduce to zero as there will always be unemployment due to frictions or timing lags, as a result of, for example, employees moving to new jobs or changes in technology.

How can i get hold of books published by ILMIA?

Books and journals published by ILMIA are available online (softcopy) in the publications section. In addition, users can apply in writing or visit ILMIA's office to get printed copies.

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Hours of work

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Introduction & Background
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The objective of KILM 7 is to show the amount of time an employed person devotes to work activities (see Box 1 for some definitions). Two primary indicators are used for this purpose. The first indicator is a measure of the number of hours an employed person works per week. The ILO recommends that this work hours per week measure be depicted by six time bands of: a) less than 25 hours; b) between 25 and 34 hours; c) between 35 and 39 hours; d) 40 hours and over; e) between 40 and 48 hours; and f) between 49 and 59 hours. Where available countries may add two additional time bands of 50 hours plus and 60 hours plus. In Malaysia, the work hours per week measure presented here utilizes four bands comprising: a) less than 20 hours; b) between 20 and 29 hours; c) between 30 and 39 hours; and d) 40 hours and over.

The second KILM 7 indicator captures the annual average hours actually worked per employed person. In most instances, countries and research institutions derive this indicator from the data from hours worked per week of the overall employed workforce, employing in the process appropriate weights and other statistical adjustments. Some countries also use and combine information from establishment surveys or those coming from the System of National Accounts Framework, in which case the information may focus mostly on wage or salaried workers. This indicator of annual work hours for Malaysia is not provided here and we hope to have it available in the next update of the ILMIA dashboard.

In general work time measures the “hours usually worked” in the reference period of a typical work schedule (say one week). This concept needs to be contrasted with the measure of “hours actually work” which represents the modal value of work time over a longer period, i.e. one year. The modal value of the work time is a number or value that appears most often within a set of data. Hours of work are measured for all categories of workers (KILM3 – employment status), whether with or without formal contracts, paid or unpaid, and including the self-employed and family workers. Work time is counted in all locations whether at the physical workplace, in the field, at home, on the road, on business trips, etc. While most often it is expected to cover workers in the formal sector of the economy, there is no reason why it would not also cover workers in the informal sector since this indicator is often collected through household surveys.

In 2008, the 18th International Conference of Labour Statisticians (ICLS) adopted a resolution concerning the measurement of work time. The resolution revised the previous standards on work time set in the 13th conference in 1962, providing better technical guidance and measurement methodologies and guidelines on an expanded menu of indicators aimed at improving the consistency and international comparability of this statistic. The definition for seven concepts of work time of an employed was set forth:

  • Hours actually worked, the key concept of working time defined for statistical purposes applicable to all jobs and to all working persons. Measures time spent in a job for activities that contribute to the production of goods and/or services during a specified reference period. Includes direct hours, related hours, down time and resting time.
  • Hours paid for, linked to remuneration of hours that may not all correspond to production.
  • Normal hours of work, refers to legally prevailing collective hours.
  • Contractual hours of work, individuals are expected to perform according to contractual relationships as distinct from normal hours.
  • Hours usually worked, most commonly in a job over an observation period. Measures regular hours worked above contractual hours.
  • Overtime hours of work, performed beyond contracts or norms.
  • Absence from work hours, when working persons do not work.

In Malaysia, KILM 7 information is captured from Labour Force Surveys conducted by the Department of Statistics Malaysia (DOS). This KILM can be further disaggregated by gender, age group and employment status of employers, employees, self-employed and own account workers.

Box 1: Hours of work

Measuring the level and trends in work time for different groups of persons and for individuals is important when monitoring working and living conditions as well as for analysing economic and broader social developments. In recent years, the use of KILM 7 has drawn increasing attention from two dimensions. The first aspect groups discussions around macroeconomic issues. For example, it has been argued that in the context of the recent global financial crisis developed economies have seen sharp losses in output, with many countries suffering steep increases in and also prolonged unemployment. However, many countries have since experienced some stability in unemployment rates, which has been attributed to adopting flexibility in employment time or hours. The most common practice has been to retain the worker on the payroll but adjust the number of hours worked. For firms the number of hours put in by employees affect the production costs and have implications in determining productivity calculations. Annual hours actually worked in particular are usually used for productivity estimates (output per hour worked) in combination with National Accounts and by economic sectors and sub-sectors wherever sufficiently granular statistical information may be available. There has been increasing interest on the part of both employers and employees in enhancing the flexibility of work time arrangements, while moving away from traditional or standard work time plans. Depending on the industry and occupation, employees have increasing options on work time arrangements. Work time flexibility may be bundled into day or night shifts or weekends; into longer than daily and weekly durations like two-weekly or monthly periods. Workers may thus enter and leave the workplace at different times during a day and increasingly account for work time not only at the physical workplace but also elsewhere, including especially from home. Consequently, it is also becoming a challenge to measure the weekly work time of a worker.

A second facet in KILM 7 focuses on the health and well-being of workers directly stemming from the hours they need to work. For example, workers in some developing countries must by necessity be required to work very long hours to secure a decent level of income to support their families because wage levels are wretched. Long working hours may have a negative impact on family and community life. Work time in excess of 50 hours per week is normally considered to be excessive. Long work hours may be voluntary or involuntary giving rise to the notion of “over-employment” where a worker actually desires to work less in the reference period with a corresponding adjustment in earnings. However, this personal choice is unknown and depends very much on cultural norms, the level of economic development and the wages paid.

Work time in excess of 50 hours per week is normally considered to be excessive.
Why KILM 7 on Hours of Work is important?

Measuring the level and trends in work time for different groups of persons and for individuals is important when monitoring working and living conditions as well as for analysing economic and broader social developments. In recent years, the use of KILM 7 has drawn increasing attention from two dimensions. The first aspect groups discussions around macroeconomic issues. For example, it has been argued that in the context of the recent global financial crisis developed economies have seen sharp losses in output, with many countries suffering steep increases in and also prolonged unemployment. However, many countries have since experienced some stability in unemployment rates, which has been attributed to adopting flexibility in employment time or hours. The most common practice has been to retain the worker on the payroll but adjust the number of hours worked. For firms the number of hours put in by employees affect the production costs and have implications in determining productivity calculations. Annual hours actually worked in particular are usually used for productivity estimates (output per hour worked) in combination with National Accounts and by economic sectors and sub-sectors wherever sufficiently granular statistical information may be available. There has been increasing interest on the part of both employers and employees in enhancing the flexibility of work time arrangements, while moving away from traditional or standard work time plans. Depending on the industry and occupation, employees have increasing options on work time arrangements. Work time flexibility may be bundled into day or night shifts or weekends; into longer than daily and weekly durations like two-weekly or monthly periods. Workers may thus enter and leave the workplace at different times during a day and increasingly account for work time not only at the physical workplace but also elsewhere, including especially from home. Consequently, it is also becoming a challenge to measure the weekly work time of a worker. A second facet in KILM 7 focuses on the health and well-being of workers directly stemming from the hours they need to work. For example, workers in some developing countries must by necessity be required to work very long hours to secure a decent level of income to support their families because wage levels are wretched. Long working hours may have a negative impact on family and community life. Work time in excess of 50 hours per week is normally considered to be excessive. Long work hours may be voluntary or involuntary giving rise to the notion of “over-employment” where a worker actually desires to work less in the reference period with a corresponding adjustment in earnings. However, this personal choice is unknown and depends very much on cultural norms, the level of economic development and the wages paid.

The Limitations/Comparability

It is obvious that in KILM 7 the indicator for hours usually worked per week are not strictly comparable to the indicator on annual hours actually worked per employed person. It is common that the hours actually worked would normally be higher than the hours usually worked because the latter makes no adjustments for temporary reductions in work time from annual leave, sickness, public holidays, etc. Moreover seasonality in some jobs and long period of absence due to festivity seasons may affect the value of these two work time categories. Another major factor accounting for differences is that in some countries significant numbers of people may have more than one job; the main job and another or a third job. It may become unclear if one is measuring the usual or actual work time on the main job or on all jobs for that person.

For cross country comparisons, as is common for all KILMs, the various data collection and estimation methods of each jurisdiction represent an important source of variation in the work time indicators. For example, in Malaysia the four time bands for weekly work time is different from current ILO norms and the information available in a few other countries. Household based information may contain readings with greater variations in integrity but has wider coverage compared to data obtained from establishment surveys where record keeping may be more standardized and subject to accounting, auditing or disclosure norms but may be limited to salaried/wage formal sector workers. Accordingly, as recommended by the OECD multiple forms and sources of data gathering would be advisable for work time information, using the standards and agreements from the resolution adopted by the 18th International Conference of Labour Statisticians, 2008 (Box 1). More importantly, it should be noted that the hours usually worked per week and the average annual hours of actual work by employed persons should be mainly used for understanding variations in trend over time and should not be utilized for comparing the level of time actually worked between countries at any point in time.

Moving forward

The next update of KILM 7 should try to include analysis of the average annual actual work time per employed persons. We will also attempt to collect more granular information on work time by industry sub-sector, by occupation, by geographic location and where possible by educational attainment. It would be useful to have information for benchmarking against the staistics from countries in the ASEAN region, others at a similar stage of development as Malaysia and developed ones. In the future, developments in work time could also be analysed in combination with information on household income to obtain a broader understanding about trends in and the relationship between household income and work hours. Working with other stakeholders, including from academia, the implications of work hours and health, family and community life could also be examined.

Employment by occupation

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Introduction & Background

The employment by occupation indicator classifies jobs according to major groups as defined in the 2008 Malaysian Standard Classification of Occupations (MASCO-08). Before 2011 statistics were collected under the 1988 MASCO-88 together with the 1980 Malaysia Dictionary of Occupational Classification. MASCO-08 follows the ILO International Standard Classification of Occupations (ISCO-08). KILM 5 can be further disaggregated by greater granularity in a four-level hierarchical structure for job types; by socio-economic factors e.g. gender; and by skill sets in relation to the levels of education specified following the International Standard Classification of Education (ISCED). MASCO-08 applies three skill levels – skilled or semi-skilled or low skilled workers. With regards to skills, the nature of the work performed in relation to characteristic tasks, defined for each skill level, takes precedence over formal educational requirements. The use of ISCED categories to assist in defining the skill levels does not imply that the skills necessary to perform the tasks and duties of a given job can be acquired only through formal education. The skills may be, and often are, acquired through (both formal & informal) training and experience. The emphasis should be on skills required to carry out the tasks and duties of an occupation, and not on whether a worker employed in a particular occupation is more or less skilled, or more or less qualified, than another worker in the same occupation.

The ILO defines occupation as a set of jobs whose main tasks and duties are characterised by a high degree of similarity. A job is a set of tasks and duties performed, or meant to be performed, by one person, including for an employer or in self-employment. MASCO-08 has 9 occupational categories comprising (1) Managers; (2) Professionals; (3) Technicians and associate professionals; (4) Clerical support workers; (5) Service and sales workers; (6) Skilled agricultural, forestry and fishery workers; (7) Craft and related trades workers; (8) Plant and machine-operators and assemblers; and (9) Elementary occupations. Statistics for members of the armed forces and other security agencies are available but not included in MASCO-08 and KILM 5.

The data for occupation is captured through the Labour Force Survey conducted periodically by the Department of Statistics Malaysia (DOS) using the household survey methodology.

The Limitations/Comparability

More detailed analysis of future skills needs and jobs outlook is limited by the granularity of the available information on occupational groupings, which in MASCO-08 is limited to four levels and for ISCED-linked skills to three types. Moreover, higher detailed levels of occupational categories face sample size limitations and representativeness issues. Occupation and skills information could be improved with better links of qualifications and skills to Malaysia’s MQS and NOSS norms. When undertaking comparisons using the time series due care is needed to account for the changes from updates in MASCO and ISCO. Also, when benchmarking with other countries it is important to give due consideration to variations in the use of ISCO, inclusion by some countries of members of the armed forces in occupational groups and the use of combinations of labour survey and establishment survey data in drawing up the occupational categories.

Moving forward

There is a need for more detailed information to understand why the trend in skilled workers remains stagnant and against the ETP and NEM aspiration for raising the proportion of skilled workers to 50% of the workforce by 2020. In this endeavour it would be useful to better align MQS and NOSS certification of skills to the information on occupation categories of MASCO-08. Better KILM 5 information will contribute positively to meeting the needed future skill requirements of the economy to achieve the knowledge-based high income nation objective of the NEM.

Employment by sector

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Introduction & Background

Employment by sector separates the working population of the country into three broad group of economic activities: namely the agriculture, industry and services sectors. Employment in each sector is usually shown as a percentage of total employment. These three main economic sectors can be disaggregated into additional sub-sectors to provide further details following the International Standard Industrial Classification (ISIC) System. However, ISIC itself has undergone several revision which has expanded the sub-sectoral coverage, the latest version of which is ISIC Revision 4 2008. Catalogue A below conveniently tabulates the evolution of ISIC from Revision 2 1968, to Revision 3 1990, and finally to the current applicable standard from 2008.

The data for KILM 4 is captured through the Labour Force Survey conducted periodically by the Department of Statistics Malaysia (DOS) using the household survey methodology. The indicator is further disaggregated by gender, age groups and states or regional areas.

Catalogue A:
Agregate Sector
ISIC Revision 2
ISIC Revision 3
ISIC Revision 4
Agriculture
ISIC Revision 2
  • Agriculture, hunting, forestry and hunting.
ISIC Revision 3
  • Agriculture, hunting, forestry and hunting.
  • Fishing
ISIC Revision 4
  • Agriculture, hunting, forestry and hunting.
Industry
ISIC Revision 2
  • Mining & Quarrying
  • Manufacturing
  • Electricity, gas and water
  • Construction
ISIC Revision 3
  • Mining & Quarrying
  • Manufacturing
  • Electricity, gas and water supply
  • Construction
ISIC Revision 4
  • Mining & Quarrying
  • Manufacturing
  • Electricity, gas, steam and air conditioning supply
  • Water supply;sewerage, waste management and remediation activities
  • Construction
Services
ISIC Revision 2
  • Wholesale and retail trade and restaurants and hotel
  • Transport, storage and communication
  • Financing, insurance, real estate and business services
  • Community, social and personal services
ISIC Revision 3
  • Wholesale and retail trade, repair and motorcycles and personal and household goods
  • Hotel and restaurants
  • Transport, storage and communications
  • Financial Intermediation
  • Real estate, renting and business activities
  • Public administration and defense, compulsory social security
  • Education
  • Health and social work
  • Other community, social and personal services activities
  • Private households with employed persons
  • Extra-territorial organisations and bodies
ISIC Revision 4
  • Wholesale and retail trade, repair and motorcycles and personal and household goods
  • Transport and storage
  • Accomodations and food service activities
  • Information and communications
  • Financial and Insurance activities
  • Real estate activities
  • Professional, scientific and technical activities
  • Administration and support service activities
  • Public administration and defense, compulsory social security
  • Education
  • Human health and social work activities
  • Arts, entertainment and recreation
  • Other service activities
  • Activities of households as employers; undifferentiated goods - and services - producing activities of households for own use
  • Activities of extraterritorial organisations and bodies
Sector not adequately defined
ISIC Revision 2
  • Activities not adequatedly defined
ISIC Revision 3
  • Not classifiable by economic activity
ISIC Revision 4

Workers not classifiable by status are those persons who do not fit into any of the sub groups above or where insufficient information is available.

In Malaysia information is available for only 3 sub-groups of the self-employed which are: employers, own account workers and contributing family members.

The status of employment data in Malaysia is obtained through the Labour Force Survey that is conducted by The Department of Statistic Malaysia. The two categories of workers in KILM 3 are presented as a percentage of the total employed, and also further disaggregated by socio-economic factors, e.g. gender.

Why KILM 4 is important?

KILM 4 is useful for identifying broad shifts in employment and stages of development as well as identifying individual sub-sectors where employment is growing or stagnating. As the economy move to more developed higher income phases the proportion of jobs have shifted between sectors, usually from agriculture to industry and finally to the services sector. This shift also traces the internal migration of the population from rural to urban areas reflecting greater creation of jobs in the industry and services sectors predominantly in urban locations. In many instances this shift also represents a move from labour intensive primary activities to increased automation in production activities, greater innovation and the knowledge-driven economy. This conglomeration of the population and economic activities are common to the experience of many developed economies.

Together with information on vacancies, KILM 4 data on changing job trends in individual sub-sectors provides a useful picture on where labour demand is most pressing. This knowledge then contributes to policy initiatives to improve training and skill upgrading programmes to meet talent shortages in the dynamic growth sectors of the economy to support further productivity improvements.

The analysis is focused on employment in the three main economic sectors. Information and analysis of the other sub-sectors will be provided at the next update.

In 2014, employment in the services sector accounted for 60.2 % of total employment, much higher than the 46.3% observed in 1990 and in line with the growing importance of the services sector as the economy reached the upper-middle income level of development. By comparisons, in terms of output, the services sector contributed 53.5% of Gross Domestic Product (GDP) in 2014 or 53.8% at current prices. In contrast, the proportion of people finding work in the agriculture sector at 12.3% in 2014 is less than half that in 1990 (26.4%) after showing sustained declines in most years over this period. This trend is consistent with the structural shift in Malaysia’s economy as it progressed from low-value added labour-intensive agro-based production to higher value and more innovative manufacturing and knowledge-based services activities where Malaysia increasingly has better comparative advantage. In terms of output, agriculture contributed just 8.9% of real GDP in 2014 compared to 16% in 1990 and a massive 32% back in 1970. Manufacturing employment has experienced relatively more variability over the years. While employment in industry (comprising of manufacturing, mining and quarrying, electricity and water supply activities) for 2014 recorded 27.5 %, manufacturing was a sector where many people found jobs in the past, 32.3% in 1995, rising from 27.5% in 1990, during Malaysia’s manufacturing boom phase before the new growth areas saw faster job creation in the services sectors.

The Limitations/Comparability

The limitation and comparability considerations relate mainly to the data collection process. In particular, the definition of employment and the Employment by sector (KILM 3) if not captured appropriately may cause some distortions or understate employment in some sectors. Thus the self employed, like unpaid family workers and jobs in cooperatives, may be unduly left out thus misrepresenting the share of jobs in the agriculture sector where such persons may be prevalent. Similarly, self-employed service professionals like accountants, financial advisors as well as unpaid family workers in family retail outlets and eateries, may escape capture and thus lead to understatement of service jobs. In transition, the changing ISIC sub-sector classification may affect comparisons where they overlap or when analysing time series trends. Above all most caution is needed when comparing employment by sector information between countries. It must be clear which ISIC codes the country is applying and to make adjustment for countries that include the members of the armed forces in the labour force. Countries may also use different survey methodologies or combine LFS and household census information to generate their KILM 4 data.

Moving forward

More details from the ISIC sub-sectors should be presented in the next round of updates together with the relevant analysis of evolution in employment prospects for the workforce and across gender, age group and geographical dimensions. Selected benchmarking against the experience of other countries will contribute to better contextualising the issues and improve policy formulation to strengthen employment prospects and job creation.

Status in employment

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Introduction & Background

The status of employment indicator is used to separate two categories of the total employed workforce in the country. The first predominant group is made up of wage and salaried workers (usually also referred to as employees), the second group represents a range of self-employed workers. The self-employed workers are further divided into 5 sub-groups comprising a) employers, b) own-account workers, c) members of producers’ cooperative, d) contributing family members (also known as unpaid family workers) and e) non classifiable workers. The definition of each category and sub-group follows the ILO standards agreed at the 1993 15th International Conference of Labour Statisticians (ICLS), viz:

 

Waged and salaried workers

these workers usually have the kind of job that is consider as paid employment and usually have oral or written contract of employment with entitlement to basic remuneration.

Self-employment jobs comprise:
Employers

People who work on their own account or with the help of one or few partners and for which their remuneration is directly dependent on the profits from goods and services produced. Employers have the capacity to engage continuously one or more persons as employees.

Own-account workers

People who work on their own account or with one or more partners and for which their remuneration is directly dependent on the profit from goods and services produced. However, they do not engage continuously employees to work for them.

Members of producer's cooperatives

Workers who receive remunerations through revenue and profits generated by cooperatives producing goods and services.

Contributing family members

Workers who are engaged in a market oriented establishment operated by a related person living within the same household and for which they may or may not receive a set remuneration.

Workers not classifiable by status are those persons who do not fit into any of the sub groups above or where insufficient information is available.

In Malaysia information is available for only 3 sub-groups of the self-employed which are: employers, own account workers and contributing family members.

The status of employment data in Malaysia is obtained through the Labour Force Survey that is conducted by The Department of Statistic Malaysia. The two categories of workers in KILM 3 are presented as a percentage of the total employed, and also further disaggregated by socio-economic factors, e.g. gender.

Why KILM 3 is important?

This indicator provides information on the proportion of the working population that are salaried employees, which over time also traces the transition path of a country as it moves from low income to middle income and eventually to high income status. A large proportion of salaried workers is consistent with an economy in advanced development and is associated with the prevalence of decent work. The tendency is for the ratio of salaried workers to rise in the initial stage of economic development reflecting the creation of remunerated jobs in the formal economy, which then peaks before the country enter the high income stage, as a larger proportion of the population become highly skilled and are able to work on their own account or start their own businesses as self-employed or employers particularly in the knowledge-based services sector. The experience from developed economies demonstrates that the services sector become the dominating area of economic activities as the degree of entrepreneurship of the working population prospers. An economy with significant proportion of the workers as self employed without employees and as unpaid family workers is associated with a low level rural agricultural environment with few formal job opportunities and prevalent poverty. Unpaid family workers often have no formal work arrangements, lack elements of decent employment, social security and labour rights. Such workers in self-employed status are considered to be in a vulnerable employment position, which is common in low income countries.

The Limitations/Comparability

The quality of the questions posed in the LFS is important for collating KILM 3 information. For example, it is not very clear if salaried workers have formal or regular contracts or are casual workers. Moreover, it is unclear if salaried workers have protection from unfair dismissals to be deemed decent work. The category of self-employed as workers in cooperatives is not recorded in Malaysia. When benchmarking against other countries due care has to be taken because of the different definitions and survey methods used by some countries.

Moving forward

Efforts would need to be devoted to better understand the situation of unpaid family workers to ensure decent job status and to move them to salaried worker positions. In recent years, this category of workers has seen increases in the urban areas. Finally, analysis of KILM 3 by state could provide insights into the evolving job markets nationwide.

Employment to Population Ratio

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Introduction & Background

This ratio provides the answer to the question: "What proportion of the working-age population is employed?". In Malaysia, the working age population is composed of persons 15-64 years old.

Relationship to the employment level. While the employment level reflects net changes in the number of jobholders, the employment ratio show net changes in the number of jobholders relative to changes in the size of the population. Because the population is continually growing, a rise in employment may or may not appear as an increase in the employment-population ratio, while a decrease in employment will always be reflected as a decline in the ratio.

Relationship to the labour force participation rate (LFPR). The LFPR reflects the proportion of the population who want to work, whereas the employment ratio measures the success of the economy at creating jobs.

Relationship to unemployment rate. A lot more attention is focused on the unemployment rate than on the employment-population ratio. However, the concept of unemployment is fuzzier than that of employment.


To be counted as unemployed, a person must be without a job, be available for work, and have actively sought a job, or must be on layoff expecting re-employment. To be counted as employed, a person must have worked at least 1 hour during the week for pay or profit (or at least 1 hour as an unpaid worker in a family business), or have a job but is temporarily absent from it. In other words, being employed is an observable experience, while being unemployed often lacks that same concreteness, i.e. seeking a job is not as clear-cut a condition as having a job

The employment to population ratio is presented as a percentage of the relevant population. Members of the armed forces and residents of penal and mental institutions may be excluded. The ratio is further disaggregated by gender; by age groups (usually youth (15-24 years) and adults (25-64 years); and by states or geographical areas. The data for calculating the employment ratio is captured through the Labour Force Survey conducted periodically by the Department of Statistics Malaysia (DOS) using the household survey methodology.

Why KILM 2 is important?

This ratio measures the economy's ability to provide jobs for a growing population and is useful for evaluating demographic employment trends. Put simply it measures whether jobs are being created fast enough for those who want to work. Thus a country with a higher ratio can be said to be more successful in creating jobs to meet the needs of its citizens. Accordingly, persons who are not in employment status are either classified as the unemployed or they choose not to participate in the workforce at all.

While a high overall ratio may be considered positive, by itself this is not sufficient to assess if decent work is being created or if there are deficits in decent work within the workplace. Additional information would be needed for such assessment including worker earnings, hours of work, presence of informal sector employment, underemployment and working conditions.

Overall, the employment ratio in Malaysia at 63.6 % in 2012 appears to have stagnated as it already stood at 63.5% in 1990. During this period the ratio has tended to fall and was as low as 61% in 2005 only improving marginally to 61.6% in 2010. Since unemployment has been relatively low in Malaysia, this implies that a large part of the population is not participating in the labour force, especially the female population, as depicted by the LFPR under KILM 1. This reflects that while the country has been effective in creating employment as Malaysia progressed towards middle income status, the rate of job creation has been lower than desired as the trend in the ratio is pointing to employment barely keeping pace with the growing population. The rate of employment creation has been quite variable, largely because of the effects of the various global economic crisis that Malaysia has suffered, the latest being the global financial crisis as reflected in the 2010 ratio. More importantly, the stagnant or decline in the employment ratio points to the need for structural changes to drive new growth areas for augmenting the job creation potential of the country, improve LFPR and liberate the economy from the middle-income trap.

Overall, the employment ratio in Malaysia at 63.6 % in 2012 appears to have stagnated as it already stood at 63.5% in 1990.
The Limitations/Comparability

Depending on the frequency or timing in the collection of data, seasonality may affect employment creation and thus lead to variations in the employment ratio which has to be appropriately accounted for (for example, employment usually spikes whenever there are festivities such as Eid Mubarak and Chinese New Year). Also when comparing this ratio between countries, variations in the definitions of employment, the population (age bracket, armed forces, etc) and collection methodology (LFS versus household census) have to be taken into consideration.

Moving forward

Other than the general aggregate working age population and employment, which includes both Malaysian citizens and non-citizens, it may be useful to separate the employment ratio to allow a focus only on the situation of citizens. This may contribute to better targeting of policies to improve the skills and educational needs of the youth population to meet market demand and also to support job creation in economically lagging regions/states. It would also be useful to benchmark the trend in various facets of Malaysia’s employment ratio with surrounding Asian economies and other similar countries elsewhere in the world.

 

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Institute of Labour Market Information and Analysis (ILMIA),
Department of Statistics Malaysia

G07-G12, Ground Floor, Right Wing, Block 2320, Century Square Jalan Usahawan, Cyber 6,
63000 Cyberjaya, Selangor, Malaysia
 
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