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MONTHLY PRINCIPAL STATISTICS OF LABOUR FORCE, MALAYSIA, JANUARY 2015

Labour Market in Malaysia, January 2015

Series 68 Vol.03/2015
March 2015

Indicator
  Previous Month   Same month
of the previous year
 
January
2015
December
2014
Change
%
  January
2014
Change
(%)
Labour force (‘000)
14,043.6 14,180.5 -1.0   13,987.6 0.4
Employed (‘000)
13,601.6 13,748.4 -1.1   13,529.9 0.5
Unemployed (‘000)
442.0 432.1 2.3   457.7 -3.4
Outside labour force (‘000)
6,865.3 6,700.6 2.5   6,644.8 3.3
Labour force participation rate (LFPR) (%)
67.2 67.9 -0.7   67.8 -0.6
Unemployment rate (%)
3.1 3.0 0.1   3.3 -0.2
Seasonally adjusted            
Unemployment rate (%)
3.0 2.9 0.1   3.1 -0.1


 

Labour force participation rate decreased to 67.2%

The labour force participation declined by 0.7 percentage point to 67.2 per cent in January 2015 compared to the previous month at 67.9 per cent. This decline was due to a reduction of population aged 20 to 34 years old in the labour market.

Meanwhile, year-on-year comparison showed the labour force participation rate was lower by 0.6 percentage point compared to 67.8 per cent in January 2014.

   


 
Unemployment rate increased to 3.1%

The unemployment rate rose 0.1 percentage point to 3.1 per cent in January 2015 compared to 3.0 per cent in December 2014. However, the unemployment rate for the current month recorded a lower rate compared to January 2014 by 3.3 per cent.

The seasonally adjusted unemployment rate was at 3.0 per cent, increased by 0.1 percentage point compared to 2.9 per cent in the previous month.

 

 

 

TECHNICAL NOTES
 

This information derived from the Labour Force Survey (LFS) which was conducted to collect information on the structure and distribution of labour force, employment and unemployment.
 
Concepts and definitions used in LFS are based from the standard guidelines of International Labour Organizations (ILO) through “Manual on Concepts and Methods: Surveys of Economically Active Population, Employment, Unemployment and Underemployment” which is also used by other country.
 
LFS covers both urban and rural areas of all states in Malaysia through personal interview method.

The survey population is defined to cover persons who live in private living quarters and hence excludes persons residing in institutions such as hotels, hostels, hospitals, prisons, boarding houses and military barracks.

The survey comprises of the economically active and inactive population. To measure the economically active population, the LFS uses the age limit of 15 to 64 years. The economically active population comprises of those employed and unemployed whereas those who are inactive is classified as outside the labour force.

LFS uses the actual status approach, where a person is classified on the basis of his labour force activity during the reference week.

Unemployed refers to those who do not have a job but are interested to work. There are two groups of unemployed that is the actively unemployed and inactively unemployed.



Seasonally adjusted
 
Malaysian economic time series data are affected by major religious festivals such as the Eid-ul Fitr, the Chinese New Year and the Deepavali. The major festivals in this country are usually related to the religious activities and such as, the dates are determined by the respective religious calendar. The dates of these holidays are not in line with the Gregorian calendar. Hence, they tend to move along the Gregorian calendar and has strong seasonal influence on many economic time series data.
 
Since these non-fixed holidays have large impact on the time series data, they need to be taken into account when performing seasonal adjustment process so as to avoid confusion in seasonally adjusted data and trend estimates. Furthermore, the presence of the non-fixed holidays effects may complicate the interpretation of the data.
 
Seasonal adjustment is a process of removing the estimated effects of normal seasonal variation from the original series so that the effects of other influences on the series may be more clearly recognized.
 
Seasonal adjustment can be derived by various methods and the results may vary according to the procedure adopted. The approach used for seasonal adjustment in Malaysia is the Seasonal Adjustment for Malaysia (SEAM).
 
SEAM is a procedure to remove moving holiday effect on the selected Malaysian economic time series data by introducing steps that can be used to overcome the limitations of the existing seasonal adjustment procedure. To apply the SEAM procedure, the X-ARIMA program which is available in Statistical Analysis Software (SAS) is used.
 
This seasonal adjusted rate will be revised when a complete 12 months time series for the particular year are obtained.
 
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