Content
About the statistics
Definitions
-
Name and topic
-
Name: Earnings in health enterprises
Topic: Labour market and earnings
-
Responsible division
-
Division for Income and Wage Statistics
-
Definitions of the main concepts and variables
-
In the statistics, wages and salaries refer only to cash payments from employer to employee for work rendered. The statistics do not include payment in kind, insurance or non-taxable expense allowances and the like.
Monthly earnings
Gross monthly earnings. Includes basic salaries, variable additional allowances and bonuses. Overtime pay is not included.
Basic monthly salary
Basic monthly salary is the actual payment at the time of the census, and is often described as salary on a scale or regular basic wage. Qualification/skills allowances and other regular personal allowances are included. Wages or salaries can be paid per hour, week, fortnight or month.
Variable additional allowances
Variable additional allowances are associated with special duties, and the figure given is a calculated average per month for the period 1 January to the time of the census. Included are allowances such as shift allowance, allowances for working evenings and nights, call-out allowance, dirty conditions allowance, offshore allowance and other allowances that occur irregularly.
Bonuses
This item includes allowances usually not connected with specific duties and where the payments occur irregularly with respect to the period in which they are earned or to which they apply. Types of payments include commissions, profit sharing, production allowance and gratuities, and are a calculated average per month for the period from the 4th quarter of the previous year to the time of the census.
Overtime pay
Overtime pay covers the sum of cash compensation for work carried out beyond contractual working hours, and is a calculated average per month over the period 1 January to the time of the census.
Estimated annual earnings
Annual earnings are an estimate for 12 months of the calendar year and are based on the monthly earnings at the census time. Includes basic paid wages and salaries, variable additional allowances, bonuses, but does not include holiday pay supplement and overtime pay.
-
Standard classifications
-
Industrial classification. A key component of the wage statistics is classification by industry in accordance with the Standard Industrial Classification (SIC2007), which is the Norwegian version of the international Standard Industrial Classification (NACE Rev. 2).
More information in NOS D 383 Standard Industrial Classification.
Classification of occupation. The Standard Classification of Occupations (C521), which is the Norwegian version of the International Standard Classification of Occupation (ISCO-88), is used in the statistics. This set of occupation codes is established throughout the wage statistics, either through direct input or by encoding from other occupation codes.
Education classification. Education levels are obtained from the register of the Population's Highest Level of Education (BHU). The classification is by the length of education according to the Standard for Educational Classification.
More information in NOS C 751 Norwegian Standard Classification of Education.
Administrative information
-
Regional level
-
National level
-
Frequency and timeliness
-
Annual
-
International reporting
-
Eurostat, OECD and ILO.
-
Microdata
-
Statistics files are stored.
Background
-
Background and purpose
-
The purpose of the statistics is to provide an overview of the wage level and change in wages for employees in the health enterprises. The current time series was established in 2001.
-
Users and applications
-
Major users are the Technical Reporting Committee on the Income Settlement, research institutes, employer and employee organizations, Eurostat and the media. The statistics are used in Statistics Norway's Labour Accounts.
-
Coherence with other statistics
-
Comparable with other publications of wage statistics from 1997 and onwards.
-
Legal authority
-
Statistics Act Section 3-2.
-
EEA reference
-
Council Regulation (EC) no. 530/1999 of 9 March 1999. Commission Regulations (EC) no. 1738/2005 of 21 October 2005 and no. 69872006 of 5 May 2006.
Production
-
Population
-
The statistics cover all employees in public hospitals.
-
Data sources and sampling
-
Data is collected electronically from the hospitals. As of 2004 information on the employees are delivered directly to Statistics Norway. Earlier publications are based on data collected by the The Norwegian Association of Local and Regional Authorities (2001) and The Employers' Association Spekter (2002-2003). The data set is also merged with administrative information from the register on the Highest Level of Education of the Population (BHU).
N/A, the statistics are not based on sampling.
-
Collection of data, editing and estimations
-
Data is collected annually, as of 1 October each year. The respondents submit data electronically.
Control and revision of wage statistics take place on several levels, where most of the operations are automated, with respect to both the actual control and any possible correction.
When receiving forms or files, a simple check is made that certain key variables are correctly filled in. This concerns primarily national identity number, occupation, basic salaries and contractual working hours per week. The individual variables are checked in more detail in priority order in the subsequent quality control process. The highest priority is given to the variables mentioned, followed by controls of bonuses, variable additional allowances and overtime.
N/A. As the census is not based on samples, estimation of weights is not relevant.
-
Confidentiality
-
It is not possible to identify enterprises/local units or private individuals from the statistics.
Collected data from respondents are used according to the legislation given by the Statistics Act and the Personal Data Act.
-
Comparability over time and space
-
The time series is coherent from 2001.
Accuracy and reliability
-
Sources of error and uncertainty
-
The increasing use of electronic reporting of wage statistics in recent years has helped to reduce the number of errors in the reported data.
Measurement errors. Measurement errors can mainly occur because the respondent misunderstands what is included in and consequently reported in each column on the form or because it is very difficult for the respondent to find the information requested. All variables collected and that, directly or indirectly, are included in released statistics are checked, either in logical controls or by absolute limits for what is considered valid. If important data are missing in the received reports, the data are obtained either by returning the form, by a phone call to the respondent or by imputation.
Processing errors. The data that are received are registered either by optical scanning, manual recording or loading files structured according to the electronic requirement specification. Several controls are carried out on the material.
Unit non-response. Non-response in the wage statistics is between 2.5 and 5 per cent. The main reasons for non-response are that enterprises no longer have employees because the business has been closed, sold or taken over by new owners, has gone bankrupt or has been merged in the time period between the selection of the sample and the time of the census. There is furthermore a small group that report too late to make it into the statistics.
Non-responses that are not randomly distributed can make the sample biased. Post-stratification adjusts any imbalances arising in the distribution between the stratification variables due to non-response. In the statistics, the stratification is by industry and size (number of employees) of the enterprises, on the assumption that wages in large enterprises differ from those in small ones, and that there are differences according to industry.
Partial non-response. Non-response in several of the items collected by form and used in the wage statistics can normally be logically calculated on the basis of other information given on the form or imputed from earlier years.
N/A, not sample based.
Frame errors. Incorrect industry codes and/or employment data in Statistics Norway's Register of Establishments and Enterprises during the selection of the sample may result in the establishments being placed in the wrong industry or selection stratum.
Model errors. These are error types that include possible errors in model assumptions in the statistics.
The statistics is published with Earnings.