1. 7. Hours of work

    16 November 2015

    Two measurements related to working time are included in KILM 7 in order to give an overall picture of the time that the employed throughout the world devote to work activities. The first measure relates to the hours that employed persons work per week (table 7a) while the second measure is the average annual hours actually worked per person (table 7b).

  2. 6. Part-time workers

    16 November 2015

    The indicator on part-time workers focuses on individuals whose working hours total less than “full time”, as a proportion of total employment. Because there is no internationally accepted definition as to the minimum number of hours in a week that constitute full-time work, the dividing line is determined either on a country-by-country basis or through the use of special estimations.

  3. 5. Employment by occupation

    16 November 2015

    The indicator for employment by occupation comprises statistics on jobs classified according to major groups as defined in one or more versions of the International Standard Classification of Occupations (ISCO).

  4. 4. Employment by sector

    16 November 2015

    The indicator for employment by sector divides employment into three broad groupings of economic activity: agriculture, industry and services. Table 4a presents data for 193 countries for the three sectors as a percentage of total employment. Although data are limited to very few years years in the majority of countries in some particular regions (such as sub-Saharan Africa, for instance), every region is covered.

  5. 3. Status in employment

    16 November 2015

    The indicator of status in employment distinguishes between two categories of the total employed. These are: (a) wage and salaried workers (also known as employees); and (b) self-employed workers. These two groups of workers are presented as percentages of the total employed for both sexes and for males and females separately.

  6. 2. Employment-to-population ratio

    16 November 2015

    The employment-to-population ratio is defined as the proportion of a country’s working-age population that is employed. A high ratio means that a large proportion of a country’s population is employed, while a low ratio means that a large share of the population is not involved directly in market-related activities, because they are either unemployed or (more likely) out of the labour force altogether.

  7. 1. Labour force participation rate

    16 November 2015

    The labour force participation rate is a measure of the proportion of a country’s working-age population that engages actively in the labour market, either by working or looking for work; it provides an indication of the size of the supply of labour available to engage in the production of goods and services, relative to the population at working age.


  1. Skills mismatch in Europe: Statistics brief

    24 October 2014

    This Statistics Brief analyzes the incidence of overeducation and undereducation (skills mismatch) in a sample of European economies. Mismatch patterns are shown to depend strongly on the measure of mismatch that is adopted, but overeducation is increasing and undereducation is decreasing on at least one measure in at least half of the countries for which such trends can be assessed. Differences in skills mismatch risk between age groups and sexes are discussed, and country-specific trends are identified.

  2. Sampling elusive populations: Applications of child labour

    17 October 2014

    This Manual complements the earlier volume on Sampling for household-based surveys of child labour brought out by within the framework of the ILO-IPEC Statistical Information and Monitoring Programme on Child Labour (SIMPOC) and contributes to survey methodology that goes beyond the particular subject of child labour. Thus, anyone interested in issues and practical solutions to problems such as sampling from imperfect frames or sampling difficult populations would benefit from the contents of this Manual.

  3. Measuring Employment in the Tourism Industries Beyond the Tourism Satellite Account: A Case Study of Canada

    15 May 2014

    The goal of this case study is to identify, describe and explain the Canadian practices of gathering, compiling, estimating, analyzing and describing tourism labour market information regarding persons employed in tourism industries primarily in terms of the characteristics of tourism workers rather than only in terms of jobs. As requested by the ILO, the particular personal and work characteristics featured in this case study include those found in the 2006 Canadian Population Census and the Canadian Labour Force Survey (LFS) such as: employment status, type of work, gender, occupation, educational attainment, membership in equity groups and seasonality of employment.