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Last modified by Helena on 2025/07/31 14:18
From version 3.15
edited by Helena
on 2025/06/17 11:45
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To version 3.20
edited by Helena
on 2025/06/17 11:47
Change comment: There is no comment for this version

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230 230  ** net profit (or share of profit);
231 231  ** employment-related social security benefits.
232 232  
233 -=== Data classification ===
233 += Data classification =
234 234  
235 -1. Statistics of employment-related income should be classified by economic activity, status in employment and occupation or occupational group, at least according to the major groups and categories of the most recent version of the relevant international classifications. These statistics should be systematically disaggregated by sex in all analyses. Other important variables for cross-classifications of data on income related to employment for pay or for profit are sex, age, level of education, level of skill, seniority in job and the formal or informal status of the job.
236 -1. Disaggregations of the main status in employment categories, as defined in ICSE according to the type of economic risk, may be relevant in order to distinguish specific groups such as owner-operators of corporations from employees, employers from other independent workers, permanent employees from temporary, seasonal or casual employees, etc.
237 -1. In order to measure the relationship between employment and income, account should be taken of all activities performed during the reference year, including simultaneous jobs. The employment experience of individuals during the reference period may be assessed through the identification of periods when they were employed (full or part time), unemployed and out of labour force. At the aggregate level, the main situations may be regrouped into broad categories relevant to the measurement of employment-related wellbeing, such as:
238 -1*. full-year/full-time employment;
239 -1*. part-year/part-time employment with no unemployment:
235 +61. Statistics of employment-related income should be classified by economic activity, status in employment and occupation or occupational group, at least according to the major groups and categories of the most recent version of the relevant international classifications. These statistics should be systematically disaggregated by sex in all analyses. Other important variables for cross-classifications of data on income related to employment for pay or for profit are sex, age, level of education, level of skill, seniority in job and the formal or informal status of the job.
240 240  
241 -o for voluntary reasons; o for involuntary reasons;
237 +62. Disaggregations of the main status in employment categories, as defined in ICSE according to the type of economic risk, may be relevant in order to distinguish specific groups such as owner-operators of corporations from employees, employers from other independent workers, permanent employees from temporary, seasonal or casual employees, etc.
242 242  
243 -1.
244 -1*. part-year employment with some unemployment; ● mainly unemployment: o with some employment; o without employment;
245 -1*. mainly out of labour force with some employment.
246 -1. Further variables may be introduced, such as length of employment, spells and duration of unemployment, etc. Such classifications would permit the identification of the main types of employment-related hardship, the severity of employment problems and the degree of labour force attachment of persons experiencing economic hardship.
239 +63. In order to measure the relationship between employment and income, account should be taken of all activities performed during the reference year, including simultaneous jobs. The employment experience of individuals during the reference period may be assessed through the identification of periods when they were employed (full or part time), unemployed and out of labour force. At the aggregate level, the main situations may be regrouped into broad categories relevant to the measurement of employment-related wellbeing, such as:
247 247  
248 -=== Periodicity ===
241 +* full-year/full-time employment;
242 +* part-year/part-time employment with no unemployment:
243 +** for voluntary reasons;
244 +** for involuntary reasons;
245 +* part-year employment with some unemployment;
246 +** mainly unemployment:
247 +** with some employment;
248 +** without employment;
249 +* mainly out of labour force with some employment.
249 249  
251 +64. Further variables may be introduced, such as length of employment, spells and duration of unemployment, etc. Such classifications would permit the identification of the main types of employment-related hardship, the severity of employment problems and the degree of labour force attachment of persons experiencing economic hardship.
252 +
253 += Periodicity =
254 +
250 250  65. Countries should endeavour to regularly collect, compile and disseminate statistics of employment-related income at least every five years.
251 251  
252 -=== Analytical measures ===
257 += Analytical measures =
253 253  
254 -1. Statistics of average income related to employment for pay and employment for profit should be compiled per time unit. The time unit in which average employment-related income is expressed, e.g. hour, day, week or month, should depend mainly on how meaningful the figures would be in the country concerned and on the feasibility of data collection. Where possible, estimates of average annual income related to employment for pay and employment for profit should be compiled.
255 -1. Where feasible, estimates of hourly employment-related income should also be developed, based on the annual estimates of income and on the corresponding volume of employment expressed in terms of hours of work and work duration.
259 +66. Statistics of average income related to employment for pay and employment for profit should be compiled per time unit. The time unit in which average employment-related income is expressed, e.g. hour, day, week or month, should depend mainly on how meaningful the figures would be in the country concerned and on the feasibility of data collection. Where possible, estimates of average annual income related to employment for pay and employment for profit should be compiled.
256 256  
261 +67. Where feasible, estimates of hourly employment-related income should also be developed, based on the annual estimates of income and on the corresponding volume of employment expressed in terms of hours of work and work duration.
262 +
257 257  === Complementary approach to non-measurable benefits ===
258 258  
259 259  1. In view of, on the one hand, the importance generally attached to the growth of forms of compensation schemes offering current and deferred entitlements to various benefits to persons in employment for pay (e.g. pensions and health plans, life insurance, flexible benefits and the like), and, on the other hand, the measurement difficulties inherent in the assessment of the value of such entitlements, efforts should be made to conduct surveys of employee benefits, in such a way as to provide data on the incidence and characteristics of the benefits received by persons in employment for pay (e.g. participation requirements, employers' and employees' contributions (where appropriate), health-care deductibles, pension benefit formulas, paid leave provisions, number of beneficiaries). Data should be compiled and published by size of establishment and various employer and employee characteristics (major industry groups, full-time and part-time employment, etc.).