The following abbreviations are used in the indicator titles:
Indicator code: E020501.T
The International Labour Organization (ILO) definition is applied. \"Unemployed\" comprise all persons above a specified age who during the reference period were: without work, currently available for work or seeking work. See any issue of the Yearbook of Labour Statistics for details. Ratio (in %) of total labour force is used. The official estimates from the Employment Statistical Office, as most commonly available, are recommended to be provided if data from ILO are not available. (WHO/EURO uses the ILO Yearbook of Labour Statistics as a common source of data)._
collected annually.
till 1999. From 2000 onwards, National Employment office : situation in June.
http://ec.europa.eu/eurostat/data/database; Unemployment rate by sex and age - annual average, %
Source: Institute for employment BIH. Available up to the war time on yearly basis. Source: CSO war
period - no data available. Agency for Statistics of Bosnia and Herzegovina http://www.bhas.ba/
Federal Office of Statistics http://www.fzs.ba/
Statistical Institute of Republic of Srpska; http://www.rzs.rs.ba
Uploaded definition is from the ILO Definition.
was per 1991 census.
From 2000 the ILO methodology accepted.
Labour Force Survey: The years 2000-2003 concern only the second quarter of each year, the rate for
2004 represents the average of the last 3 quarters of the year and from 2005 onwards the given
rates refer to the average of the whole of the reference years.
to ILO methods.
1973 - 2006: Table AARD
2007 - : Table AULP01
Coverage: Includes people aged 15-74.
Data revised in December 2014.
Statistical Institute.
Source (1991-2003): Federal Statistical Office, Labour force Survey
http://www.destatis.de
Coverage: According to European demarcation (ILO) data refer to unemployed persons as a percentage
of the potential workforce.
the bridge year. The inflation method was changed twice;1998 and 2001 are the bridge years. Source:
Statistical Abstract of Israel, Central Bureau of Statistics.
The unemployment rate is given by the percentage ratio of the population aged 15 and over seeking
employment to the labour force. The latter is given by the sum of people in employment and people
seeking employment. The definition of a person seeking employment refers to the concept of actively
seeking work, i.e. having performed at least one job-seeking action of a given type in the four
weeks preceding the one to which the information gathered during the interview refers and being
available to work in the two weeks that follow.
Break in time series: Starting from 2007 Unemployment rate according to the Population and Housing
Census 2011.
Before 2010: Ministere du Travail. Publication by Statec.
EU regulation. Previous to 2000, reported figures relate to the Employment and Training Cooperation
(ETC).
Source: Statistical Office of Montenegro.
Source of data: The source of data on unemployment in Moldova is the Labour Force Survey (LFS),
conducted by the National Bureau of Statistics in accordance with the methodology and definitions of
the ILO. The data on unemployment are published quarterly online: www.statistica.md
link: https://statistici.insse.ro/shop/index.jsp?page=tempo3&lang=ro&ind=SOM103A
Source: National Statistics Institute, extracted from ?Economically Active Population Survey?
http://www.ine.es/dyngs/INEbase/en/operacion.htm?c=Estadistica_C&cid=1254736176918&menu=ultiDatos&id
p=1254735976595
www.scb.se (Online Statistical Database: table: AM0401GD)
http://www.scb.se/en_/Finding-statistics/Statistics-by-subject-area/Labour-market/Labour-force-surve
ys/Labour-Force-Survey-LFS/Aktuell-Pong/23272/Behallare-for-Press/393768/
http://www.statistikdatabasen.scb.se/pxweb/sv/ssd/START__AM__AM0401__AM0401A/NAKUBefolkningAr/?rxid=
b3b463bf-30f1-401d-bd84-adfe136bdb5a
The Swedish Labour Force Survey is conducted monthly by Statistics Sweden (SCB). The survey is based
on interviews with some 21000 persons each month. Quarterly estimates are calculated as means based
on the 3 months. Annual estimates are calculated as means of the 12 monthly estimates. Essentially,
concepts and definitions follow the guidelines of the ILO. The classifications of industry and
occupation correspond to the NACE (Nomenclature Generale des Activites Economiques dans le
Communautes Europeennes) and the ISCO 88 COM systems respectively. The survey results regularly
published refer to the population 16-64 years of age. Standard errors are given for some of the
estimates that are presented in the tables (www.scb.se).
http://www.scb.se/Pages/PressRelease____349903.aspx
Source: State Statistic Department.
Understanding the Unemployment Rate (%)
The unemployment rate is a critical economic indicator that reflects the percentage of the labor force that is jobless and actively seeking employment. It is a vital measure used by policymakers, economists, and scholars to gauge the health of an economy. Typically, a lower unemployment rate indicates a robust economy, while a higher rate may suggest economic challenges. This metric not only influences economic policy and corporate decisions but also impacts the everyday lives of citizens by affecting income levels and social stability.
How is the Unemployment Rate (%) Calculated?
The unemployment rate is calculated by dividing the number of unemployed individuals by the total number of persons in the labor force, and then multiplying the result by 100 to get a percentage. This formula seems straightforward but involves complex data collection and analysis. Accurate measurement depends on reliable data regarding the number of people who are without jobs and are actively seeking work. This data is typically gathered through labor force surveys, unemployment insurance statistics, and registration offices.
The Significance of the Unemployment Rate (%)
The unemployment rate is more than just a number; it is a powerful indicator of economic health and social well-being. High unemployment can lead to increased poverty, reduced consumer spending, and social unrest. Conversely, very low unemployment might indicate a booming economy, but can also lead to labor shortages and inflationary pressures. Governments use this metric to design appropriate fiscal and monetary policies aimed at stabilizing or stimulating the economy. Businesses use it to forecast market conditions and plan their strategies accordingly.
Strengths and Limitations of the Unemployment Rate (%)
While the unemployment rate is an invaluable tool for economic assessment, it comes with its own set of strengths and limitations.
Strengths
The primary strength of the unemployment rate is its ability to provide a quick snapshot of economic health across different time periods and geographical regions. It allows for easy comparisons and helps in understanding trends in the labor market. This rate is crucial for government policymakers in crafting economic policies and for businesses in making investment decisions. Additionally, it is widely recognized and understood, making it a reliable reference point for international economic comparisons.
Limitations
However, the unemployment rate also has several limitations. It does not account for underemployment where individuals work less than they would like or in jobs that do not utilize their skills. It also misses 'discouraged workers' who have stopped looking for work due to repeated failures in finding a job. Moreover, this rate can be influenced by seasonal employment patterns which may not accurately reflect the underlying economic conditions. For instance, during holiday seasons, temporary hires can artificially lower the unemployment rate, giving a misleading impression of the labor market.
Furthermore, the method of data collection can affect the accuracy of the unemployment rate. Inconsistent survey methods across different countries or regions can lead to discrepancies in data, which can skew comparisons. The timing of data collection can also miss rapid changes in the labor market, such as those caused by technological advancements or global economic crises.
In conclusion, while the unemployment rate is a crucial economic indicator, it is important to consider its broader context and the nuances that affect its interpretation. Understanding both its strengths and limitations is essential for making informed decisions in policy-making, economic analysis, and business strategy.