364421
/en/utdanning/statistikker/fagskoler/aar
364421
statistikk
2019-04-30T08:00:00.000Z
Education;Immigration and immigrants
en
fagskoler, Post-secondary vocational education, tertiary vocational education, tertiary education, vocational educationPost-secondary vocational education, Education, Immigration and immigrants, Education
true

Post-secondary vocational education

Updated

Next update

Key figures

16 308

students in post-secondary vocational education in the autumn 2018

Students in post-secondary vocational education
20172018
 
Number of students15 27116 308
Per cent women42.243.2
Per cent in public schools51.648.3
Proportion in 2 year programmes56.455.5
 
2016-20172017-2018
Graduations from post-secondary vocational education5 2555 675
Per cent womwn46.550.1
Per cent in public schools50.547.8
Per cent in 2 year programmes45.043.3

See selected tables from this statistics

Table 1 
Immigration category and sex for graduations in post-secondary vocational education

Immigration category and sex for graduations in post-secondary vocational education
2017-2018
NumberPer cent menPer cent womenPer cent in public schoolsPer cent in private schools
Total5 67549.950.147.852.2
Immigrants71532.267.828.871.2
Norwegian-born to immigrant parents9853.146.930.669.4
Other population4 86252.447.651.049.0

Table 2 
Duration and field of education for graduations in post-secondary vocational education

Duration and field of education for graduations in post-secondary vocational education
2017-2018
Under 2 years2 år
Both sexesMalesFemalesMalesFemales
Fields of education, total5 6758052 4152 026429
Humanities and arts74181226132302
Education5074300
Social sciences and law63323622
Business and administration79917462500
Natural sciences, vocational and technical subjects2 075255411 70079
Health, welfare and sport1 3721321 23514
Primary industries52123208
Transport and communications, safety and security and other services52314121115714

Table 3 
Immigration category for students in post-secondary vocational education

Immigration category for students in post-secondary vocational education
2018
Number of studentsPer cent menPer cent womenPer cent in public schoolsPer cent in private schools
Total16 30857434852
Immigrants2 11137633268
Norwegian-born to immigrant parents29460403268
Other population13 90360405149

Table 4 
Age of students in post-secondary vocational education

Age of students in post-secondary vocational education
2018
In totalPublicPrivate
Number of students16 3087 8738 435
Per cent 20 years old and younger759
Per cent 21-25 years old313230
Per cent 26-30 years old202118
Per cent 31-35 years old141512
Per cent 36-40 years old111110
Per cent 41-45 years old777
Per cent 46-50 years old767
Per cent 51 years old and older537

Table 5 
Field of education and duration for students in post-secondary vocational education

Field of education and duration for students in post-secondary vocational education
2018
All, regardless of durationUnder 2 years2 år
Both sexesMalesFemalesMalesFemales
Fields of education, total16 3081 7675 4917 4891 561
Humanities and arts1 814110316422966
Education2423820400
Social sciences and law23610315667
Business and administration1 4703381 0951324
Natural sciences, vocational and technical subjects7 1766021006 059415
Health, welfare and sport3 8933823 485125
Primary industries162808200
Transport and communications, safety and security and other services1 31520720683864

Table 6 
Completion rates after 5 years for students who started post-secondary vocational education

Completion rates after 5 years for students who started post-secondary vocational education1
2013-2017
NumbersPer cent
All, regardless of durationUnder 2 years2 årAll, regardless of durationUnder 2 years2 år
1Students who enrolled in tertiary vocational education for the first time from 1.10.yyyy-1 to 30.09.yyyy. (Example. the year of start 2009, will be started the period 1.10.2008-30.9.2009)
Both sexes9 9414 8875 054100.0100.0100.0
Completed tertiary vocational education in 2 years5 2802 9832 29753.161.045.4
Completed tertiary vocational education in 3-5 years862677958.71.415.7
Still in post-secondary after 5 years0000.00.00.0
Completed other education269801892.71.63.7
Not completed3 5301 7571 77335.536.035.1
Males5 5021 5703 932100.0100.0100.0
Completed tertiary vocational education in 2 years2 6469281 71848.159.143.7
Completed tertiary vocational education in 3-5 years7491073913.60.618.8
Still in post-secondary after 5 years0000.00.00.0
Completed other education10018821.81.12.1
Not completed2 0076141 39336.539.135.4
Females4 4393 3171 122100.0100.0100.0
Completed tertiary vocational education in 2 years2 6342 05557959.362.051.6
Completed tertiary vocational education in 3-5 years11357562.51.75.0
Still in post-secondary after 5 years0000.00.00.0
Completed other education169621073.81.99.5
Not completed1 5231 14338034.334.533.9

About the statistics

The statistics cover all students in post-secondary vocational education as of per 1 October and completed programmes during the academic year. Completion rates are calculated by combining multiple years of ongoing and completed post-secondary vocational education.

Definitions

Definitions of the main concepts and variables

Ongoing education: Students in post-secondary vocational education per 1 October.

Completed education: An education activity is recognised as completed when the institution the students are attending, awards them a diploma or provides some other evidence that they have met the full requirements for completion.

Ownership: Schools are classified as either public or private.

Highest educational attainment of parents: Parental educational attainment encompasses all of the following levels:

1) Primary and lower secondary education

2) Upper secondary education

3) Higher education, short (at least two years but also 4 years or less)

4) Higher education, long (more than four years).

The education level of parents is defined as the highest level of education obtained by at least one of the parents.

Immigrants: Persons born abroad of two foreign-born parents and four foreign-born grandparents. 

Norwegian-born to immigrant parents: Persons who are born in Norway of two parents born abroad, and in addition have four grandparents born abroad.

Standard classifications

Educational activities are grouped by the Norwegian Standard Classification of Education which was established in 1970 by Statistics Norway and later revised in 1973, 1989 and 2000. Educational institutions are classified as being higher education by the Standard Industrial Classification.

For international purposes, the ISCED 2011 is used (International Standard Classification of Education).

Administrative information

Name and topic

Name: Post-secondary vocational education
Topic: Education

Next release

Responsible division

Division for Education and Culture Statistics

Regional level

The statistics provide figures for the county and national level.

Figures are presented at national level. Data includes information that makes it possible to provide figures at other regional Levels.

Frequency and timeliness

Figures are published annually in April/May.

International reporting

Data is provided for UNESCO, OECD and Eurostat (U-O-E).

Microdata

All education statistics at Statistics Norway are stored in a proper, standardized manner in consultation with the Data Inspectorate.

It is possible to order special tables in addition to the tables that are published by contacting Statistics Norway, oppdragutdanning@ssb.no. The price will depend on the size of the order.

Background

Background and purpose

The purpose of these statistics is to collect data on all post-secondary vocational education in Norway. It is in the public interest to create as accurate data as possible for research and planning. The statistics are individually based, and report each educational activity for each student.

The statistics are financed from State assignments.

Users and applications

Important users of the education statistics are the Ministry of Education and Research, public administration, researchers, special interest organisations, international organisations (Eurostat, OECD and UNESCO), media, business and industry.

In addition, data is used internally in Statistics Norway in publications and in assignments.

Equal treatment of users

No external users have access to the statistics and analyses before they are published and accessible simultaneously for all users on ssb.no at 08 am. Prior to this, a minimum of three months' advance notice is given in the Statistics Release Calendar. This is one of Statistics Norway’s key principles for ensuring that all users are treated equally.

Coherence with other statistics

Data from post-secondary vocational education is combined with data from lower- and upper secondary and higher education when revision processes are complete. Data is then stored as single annual files in the National Education Database (NUDB). Statistics Norway uses a similar system for all individually based statistics, making it easy to combine education statistics with other areas.

Legal authority

Statistics Act, sections 2-1, 2-2 and 3-2.

EEA reference

Commission Regulation (EU) No 88/2011 of 2 February 2011 implementing Regulation (EC) No 452/2008 of the European Parliament and of the Council concerning the production and development of statistics on education and lifelong learning, as regards statistics on education and training systems.

Production

Population

The statistics cover all students in post-secondary vocational education in schools approved by NOKUT, per 1 October each year. Each student can be registered as active in only one educational activity per 1 October each year. For students registered in several courses, Statistics Norway chooses the educational activity that is considered their main course of study.

Completed programmes are registered at the end of each school year. Completion rates of students is calculated by combining multiple years of ongoing and completed education.

Data sources and sampling

Pursuant to the Statistical Act, Statistics Norway collects student data from Database for Statistics on Higher Education (DBH).

Collection of data, editing and estimations

Data collection: Pursuant to the Statistical Act, Statistics Norway collects student data from Norwegian Social Science Data Services (NSD) and the administrative systems of some tertiary institutions. 

Editing: Editing includes both control and revision, and is performed on all data received from educational institutions. It encompasses deletion of duplicate records, a control for correct and valid values for each variable and checks for missing information. Several variables are re-coded to comply with control programs run by Statistics Norway and Personal ID-numbers are referenced against Statistics Norway's population database to check for errors.

Estimation: As from 1 October 2014 measures has been taken to be able to present statistics representative to immigrants at an aggregated level. An imputation method is used to create a “complete” dataset. A missing at random assumption is made, with imputation being based on a nearest neighbour technique called predictive mean matching. The auxiliary variables used to find a matching donor include gender, age, occupation, income, length of time living in Norway, citizenship and country of origin.

Results from the imputed dataset show some small overall changes. In general, imputation reduces the percentage of both the highest and lower education levels. Comparison of the imputation results among Swedish immigrants with data from Statistics Sweden shows the imputation proposed is adjusting the data in the right direction. For more about the methode, see Jentoft, 2014.

Seasonal adjustment

Not relevant

Confidentiality

The general rule is not to publish data if less than 3 students are found within a cell or unit in a table. This is to prevent identification of individuals within the statistics.

Comparability over time and space

Individually based education statistics was collected for the first time in 1974, and has been published annually since then. Most variables are comparable, but some have changed. The Norwegian Standard Classification of Education has been revised to secure comparability over time. Data on trainees was collected for the first time in 2006.

Accuracy and reliability

Sources of error and uncertainty

A statistical investigation may be encumbered with various sorts of error. Errors may occur during the collection of data if units being investigated are not identical to the mass of units we aim at describing. Other types of error may occur during the coding the data collected.

Errors in data collected from administrative registers can be caused by uncertainties in the definition of variables and values between those responsible for the registers and others responsible for data collection from the registers.

Other sources of error can be the quality of the personal and school data in the registers or the registration process of data input into the registers. Such errors can affect the quality of the data if the control and revision processes in Statistics Norway are not comprehensive enough.

Revision

See general principles for revisions in Statistics Norway.