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/en/arbeid-og-lonn/statistikker/lonnkomm/aar
1819_om
statistikk
2014-03-12T10:00:00.000Z
Labour market and earnings
en
false

Earnings in municipalities and county authorities1 December 2013

The 2015 wage statistics for all industrial sections and various areas in the public sector will be released collectively on 3 March 2016 in the statistics Earnings of all employees.

Content

About the statistics

Definitions

Name and topic

Name: Earnings in municipalities and county authorities
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 hence 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.

Full-time and part time

Information is collected on all employees regardless of contractual working hours. Employees with a contractual 33 hours or more per week are regarded as full-time employees. Employees in municipalities, in publicly maintained schools and central government are regarded as full-time employees when engaged in a 100 per cent occupation. Employees with less than 33 hours work-time per week or engaged in an occupation of less than 100 per cent are defined as part-time employees.

Full-time equivalents

In the wage statistics employees with less than 33 hours work-time per week or engaged in an occupation of less than 100 per cent are defined as part-time employees. To be able to compare earnings for full-time and part-time employees the earnings for a part-time employee is recalculated to the earnings a full-time employee would receive. This is done by using the ratio of the working hours for each part-time employee and the average working hours for full-time employees in the industry as the factor of recalculation. Monthly earnings per full-time equivalent for part-time employees may then be put together with monthly earnings for full-time employees and thus it is made possible to calculate average monthly earnings for all employees.

Contractual working hours

Contractual working hours is defined as the contractual number of working hours per week, excluding meal breaks. No deductions are made for absences due to holiday, illness, leave of absence or the like. For employees with working hours that varies from one week to another, the average number of hours per week is reported for the year or for the last month.

Age and sex

The national identity number indicates age and sex.

Standard classifications

Industrial classification.

A key component of the wage statistics is classification by industry in accordance with the Standard Industrial Classification (SN 2007), which is the Norwegian version of the new international Standard Industrial Classification (SIC94). Standard Industrial Classfication (SN2007) .

Classification of occupation.

The Standard Classification of Occupation (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.

More information on the Standard Classification of Occupation (C521) .

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 about the Standard Education Classification .

Administrative information

Regional level

National level.

Frequency and timeliness

Frequency: Annual per third quarter Timeliness: Publication in March the succeeding year

International reporting

Eurostat, ILO

Microdata

Raw data files with wage data put through link programs are stored.

Background

Background and purpose

The purpose of the statistics is to provide an overview of wage levels and wage changes for employees in municipalities and contry authorities. Statistics of Norway (SSB) have published staictics for the years 1958, 1959 1960 and every second years from 1962 to 1976. Afterwards yearly from 1978. From 1990 and froward are employees in public health service and social services included in the statistic.

From 2008 included employees in the education system  and electricity supply too.Publications of wage statistics in 2009 apply a new Standard industrial classification (SN2007) .  Closed time series from earlier can be find using this link; Statbank .

Users and applications

Major users are the Technical Reporting Committee on the Income Settlement, research institutes, employee and employer organizations, Eurostat, the media, business and industry and private individuals. The statistics are included in Statistics Norway's National Accounts and in quarterly wage indices.

Equal treatment of users

Not relevant

Coherence with other statistics

New annual wage statistics for most industrial sections were established in 1997. The wage statistics are to be uniform and comparable among the sections.

From 1st quarter 1998 a quarterly wage index has also been established.

Legal authority

Statistikkloven, paragraf 2-1, 2-2, 2-3 (tvangsmulkt)

EEA reference

The population covers employees in enterprises in Section O Human health, social work Q,education P and othermunicipalities and contry authorities ,   of the Standard Industrial Classification .

Each enterprise covers one or more establishments grouped by industrial category. The wage statistics data are obtained for each establishment at the person level.

Production

Population

Data are obtained via forms or electronics directly from the enterprises. Federatrion companies in KS were collected from Personal Adminstrative informationsystem (PAI). Information is obtained on wages, bonuses and commissions, variable additional allowances, overtime, occupation and working hours of the individual employee in the establishment.

Data sources and sampling

The wage statistics are produced of up to date reports from Personal Administrative informationsystem (PAI) in KS.

The statistics are bases on the census part of all employees in enterprises which are members of KS and their wage agreement per 1 December in counting year.

Collection of data, editing and estimations

KS collected the data from municipalities and county authorities via forms or electronic media. SSB collected the dat from KS, with authorization in Statiistikkloven, paragraf §3-2

The wage information get checked manually and machinally of SSB and KS.

Seasonal adjustment

Not relevant

Confidentiality

It is not possible to identify enterprises/local units or private individuals from the statistics.

Comparability over time and space

Publications of wage statistics in 2009 apply a new Standard industrial classification (SN2007) . Wage statistics 2008/2009 presented here are thus according to the new standard. Due to this figures are not comparable to the 2008/2009 figures. For statistics for 1997-2007can be find using the link; Previous articles .

The figures for 2005 are based on new definitions for what is required to obtain the different levels of education in Norway. The figures for wages by education are therefore not comparable from 2004 and earlier years. More information on http://www.ssb.no/english/subjects/04/01/utniv_en/ .

From 2011 the results from the survey on education completed abroad are included in the BHU. The survey resulted in a decline in the share of unknown education in the BHU from 43 per cent to 20 per cent. This affects the wage statistics from 2012. More information about the survey:

http://www.ssb.no/utdanning/artikler-og-publikasjoner/undersoekelse-om-utdanning

http://www.ssb.no/utdanning/artikler-og-publikasjoner/_attachment/115532?_ts=13ee60920b0

Accuracy and reliability

Sources of error and uncertainty

Not relevant.

Revision

Not relevant