Statistics Sweden

For employees in municipalities and county councils The occupational variable SSYK is connected from an AID Label-code. 2018, updates have been made in the AID code, which has led to certain changes among SSYK groups. Therefore, comparisons using SSYK before and after 2018 must be done with caution when looking at municipalities and county councils and also the public sector and entire labour market, especially occupations that are common in municipalities and county councils.Comparisons between different years should be made with caution. Factors that complicate such comparisons, for example, the private sector survey, the degree of non-response, change and improvement in the classification of variables. From the year 2008 SSYK is derived from a new occupational classification in municipalities and county councils which has led to some change in SSYK.Double dots (..) refers to the fact that information is not available, is too uncertain to be given or has been removed for reasons of confidentiality.regionSouth Sweden: Blekinge och Skåne countySmåland and islands: Gotland, Kalmar, Kronoberg and Jönköping county West Sweden: Västra Götaland and Halland county East-Central Sweden: Södermanland, Uppsala, Västmanlands, Örebro and Östergötland county Stockholm: Stockholm county North-Central Sweden: Gävlebors, Dalarna and Värmland county Central Norrland: Jämtland och Västernorrland county Upper Norrland: Norrbotten och Västerbotten countyregionSouth Sweden: Blekinge och Skåne county Småland and islands: Gotland, Kalmar, Kronoberg and Jönköping county West Sweden: Västra Götaland and Halland county East-Central Sweden: Södermanland, Uppsala, Västmanlands, Örebro and Östergötland county Stockholm: Stockholm county North-Central Sweden: Gävlebors, Dalarna and Värmland county Central Norrland: Jämtland och Västernorrland county Upper Norrland: Norrbotten och Västerbotten countyregionSouth Sweden: Blekinge och Skåne county Småland and islands: Gotland, Kalmar, Kronoberg and Jönköping county West Sweden: Västra Götaland and Halland county East-Central Sweden: Södermanland, Uppsala, Västmanlands, Örebro and Östergötland county Stockholm: Stockholm county North-Central Sweden: Gävlebors, Dalarna and Värmland county Central Norrland: Jämtland och Västernorrland county Upper Norrland: Norrbotten och Västerbotten countyregionSouth Sweden: Blekinge och Skåne county Småland and islands: Gotland, Kalmar, Kronoberg and Jönköping county West Sweden: Västra Götaland and Halland county East-Central Sweden: Södermanland, Uppsala, Västmanlands, Örebro and Östergötland county Stockholm: Stockholm county North-Central Sweden: Gävlebors, Dalarna and Värmland county Central Norrland: Jämtland och Västernorrland county Upper Norrland: Norrbotten och Västerbotten countyyear2010Some values for the year 2010 are not reported after 2012-06-11 due to deficiencies in the underlying material.

industrial classification NACE Rev. 2J information and communication companies(..) uppgift för osäker för att redovisa.K financial institutions and insurance companies(..) uppgift för osäker för att redovisa.

In 1999 Statistics Sweden took over the responsibility for the municipality sector from the Swedish Association of Local Authorities. Due to some differences in the statistical methods, it is not possible to obtain relevant estimations of changes of definitive average monthly salaries for 1999.

Comparisons between different years should be made with caution. Factors that complicate such comparisons, for example, the private sector survey, the degree of non-response, change and improvement in the classification of variables. For employees in municipalities and county councils The occupational variable SSYK is connected from an AID Label-code. 2018, updates have been made in the AID code, which has led to certain changes among SSYK groups. Therefore, comparisons using SSYK before and after 2018 must be done with caution when looking at municipalities and county councils and also the public sector and entire labour market, especially occupations that are common in municipalities and county councils. Double dots (..) refers to the fact that information is not available, is too uncertain to be given or has been removed for reasons of confidentiality. observations Median 50 per cent of the employees have a salary equal or lower than the measurement shows. 10th percentile 10 per cent of the employees have a salary equal or lower than the measurement shows. 25th percentile 25 per cent of the employees have a salary equal or lower than the measurement shows. 75th percentile 75 per cent of the employees have a salary equal or lower than the measurement shows. 90th percentile 90 per cent of the employees have a salary equal or lower than the measurement shows.

Average working hours (by agreement) per week for employed persons aged 15-74 (LFS) by region and sex. Quarter 2005K2 - 2018K3observationsMargin of error ±The presented margin of error corresponds to a 95 percent confidence interval.observationsMargin of error ±Because the LFS is a sample survey based on a national random probability sample, there is a degree of uncertainty that can be calculated. The presented information consists of estimations and consideration must be taken to uncertainty/margin of error when drawing conclusions. The interval that is created by the level estimation ± margin of error here is a 95 percent confidence interval, which is an interval with a 95 percent probability including the actual value.

The gainfully employed population comprises any person who has worked for at least one hour per week during the month of November. Those temporarily absent during the survey period, for instance due to sick leave, are also included. The same definition is being used in the register-based labour market statistics (RAMS). Some changes have been done as from 2004 years version regarding data over employment. A new source to identify entrepreneurs has been used as well as a minor adjustment to classify employees. For more information see www.scb.se/yrke. Comparisons between separate years should be done with caution. Factors that may complicate such comparisons are new data sources for the Swedish Standard Classification of Occupations (SSYK), improvements and changes in the sources underlying classifications. Starting in 2008 SSYK is based on new classification for municipalities and counties. As a result, several changes have been made in SSYK. occupation 2141 Architects, town and traffic planners As a result of evaluation of quality are 4-digit occupational codes in the occupational group 214 not shown. 2008 is the first year that information on engineers/physical and engineering science technicians is of high enough quality to be published on the 4 digit SSYK level. However, there is still reason to believe that the number of people classified in 2149 Engineers not elsewhere classified or 3119 Physical and engineering science technicians not elsewhere classified is overestimated. 2142 Civil engineers As a result of evaluation of quality are 4-digit occupational codes in the occupational group 214 not shown. 2008 is the first year that information on engineers/physical and engineering science technicians is of high enough quality to be published on the 4 digit SSYK level. However, there is still reason to believe that the number of people classified in 2149 Engineers not elsewhere classified or 3119 Physical and engineering science technicians not elsewhere classified is overestimated. 2143 Electrical engineers As a result of evaluation of quality are 4-digit occupational codes in the occupational group 214 not shown. 2008 is the first year that information on engineers/physical and engineering science technicians is of high enough quality to be published on the 4 digit SSYK level. However, there is still reason to believe that the number of people classified in 2149 Engineers not elsewhere classified or 3119 Physical and engineering science technicians not elsewhere classified is overestimated. 2144 Electronics and telecommunications engineers As a result of evaluation of quality are 4-digit occupational codes in the occupational group 214 not shown. 2008 is the first year that information on engineers/physical and engineering science technicians is of high enough quality to be published on the 4 digit SSYK level. However, there is still reason to believe that the number of people classified in 2149 Engineers not elsewhere classified or 3119 Physical and engineering science technicians not elsewhere classified is overestimated. 2145 Mechanical engineers As a result of evaluation of quality are 4-digit occupational codes in the occupational group 214 not shown. 2008 is the first year that information on engineers/physical and engineering science technicians is of high enough quality to be published on the 4 digit SSYK level. However, there is still reason to believe that the number of people classified in 2149 Engineers not elsewhere classified or 3119 Physical and engineering science technicians not elsewhere classified is overestimated. 2146 Chemical engineers As a result of evaluation of quality are 4-digit occupational codes in the occupational group 214 not shown. 2008 is the first year that information on engineers/physical and engineering science technicians is of high enough quality to be published on the 4 digit SSYK level. However, there is still reason to believe that the number of people classified in 2149 Engineers not elsewhere classified or 3119 Physical and engineering science technicians not elsewhere classified is overestimated. 2147 Mining engineers, metallurgists and related professionals As a result of evaluation of quality are 4-digit occupational codes in the occupational group 214 not shown. 2008 is the first year that information on engineers/physical and engineering science technicians is of high enough quality to be published on the 4 digit SSYK level. However, there is still reason to believe that the number of people classified in 2149 Engineers not elsewhere classified or 3119 Physical and engineering science technicians not elsewhere classified is overestimated. 2148 Cartographers and surveyors As a result of evaluation of quality are 4-digit occupational codes in the occupational group 214 not shown. 2008 is the first year that information on engineers/physical and engineering science technicians is of high enough quality to be published on the 4 digit SSYK level. However, there is still reason to believe that the number of people classified in 2149 Engineers not elsewhere classified or 3119 Physical and engineering science technicians not elsewhere classified is overestimated. 2149 Engineers not elsewhere classified As a result of evaluation of quality are 4-digit occupational codes in the occupational group 214 not shown. 2008 is the first year that information on engineers/physical and engineering science technicians is of high enough quality to be published on the 4 digit SSYK level. However, there is still reason to believe that the number of people classified in 2149 Engineers not elsewhere classified or 3119 Physical and engineering science technicians not elsewhere classified is overestimated. 3111 Chemical and physical science technicians As a result of evaluation of quality are 4-digit occupational codes in the occupational group 311 not shown. 2008 is the first year that information on engineers/physical and engineering science technicians is of high enough quality to be published on the 4 digit SSYK level. However, there is still reason to believe that the number of people classified in 2149 Engineers not elsewhere classified or 3119 Physical and engineering science technicians not elsewhere classified is overestimated. 3112 Civil engineering technicians As a result of evaluation of quality are 4-digit occupational codes in the occupational group 311 not shown. 2008 is the first year that information on engineers/physical and engineering science technicians is of high enough quality to be published on the 4 digit SSYK level. However, there is still reason to believe that the number of people classified in 2149 Engineers not elsewhere classified or 3119 Physical and engineering science technicians not elsewhere classified is overestimated. 3113 Electrical engineering technicians As a result of evaluation of quality are 4-digit occupational codes in the occupational group 311 not shown. 2008 is the first year that information on engineers/physical and engineering science technicians is of high enough quality to be published on the 4 digit SSYK level. However, there is still reason to believe that the number of people classified in 2149 Engineers not elsewhere classified or 3119 Physical and engineering science technicians not elsewhere classified is overestimated. 3114 Electronics and telecommunications engineering technicians As a result of evaluation of quality are 4-digit occupational codes in the occupational group 311 not shown. 2008 is the first year that information on engineers/physical and engineering science technicians is of high enough quality to be published on the 4 digit SSYK level. However, there is still reason to believe that the number of people classified in 2149 Engineers not elsewhere classified or 3119 Physical and engineering science technicians not elsewhere classified is overestimated. 3115 Mechanical engineering technicians As a result of evaluation of quality are 4-digit occupational codes in the occupational group 311 not shown. 2008 is the first year that information on engineers/physical and engineering science technicians is of high enough quality to be published on the 4 digit SSYK level. However, there is still reason to believe that the number of people classified in 2149 Engineers not elsewhere classified or 3119 Physical and engineering science technicians not elsewhere classified is overestimated. 3116 Chemical engineering technicians As a result of evaluation of quality are 4-digit occupational codes in the occupational group 311 not shown. 2008 is the first year that information on engineers/physical and engineering science technicians is of high enough quality to be published on the 4 digit SSYK level. However, there is still reason to believe that the number of people classified in 2149 Engineers not elsewhere classified or 3119 Physical and engineering science technicians not elsewhere classified is overestimated. 3117 Mining and metallurgical technicians As a result of evaluation of quality are 4-digit occupational codes in the occupational group 311 not shown. 2008 is the first year that information on engineers/physical and engineering science technicians is of high enough quality to be published on the 4 digit SSYK level. However, there is still reason to believe that the number of people classified in 2149 Engineers not elsewhere classified or 3119 Physical and engineering science technicians not elsewhere classified is overestimated. 3118 Draughtspersons As a result of evaluation of quality are 4-digit occupational codes in the occupational group 311 not shown. 2008 is the first year that information on engineers/physical and engineering science technicians is of high enough quality to be published on the 4 digit SSYK level. However, there is still reason to believe that the number of people classified in 2149 Engineers not elsewhere classified or 3119 Physical and engineering science technicians not elsewhere classified is overestimated. 3119 Physical and engineering science technicians not elsewhere classified As a result of evaluation of quality are 4-digit occupational codes in the occupational group 311 not shown. 2008 is the first year that information on engineers/physical and engineering science technicians is of high enough quality to be published on the 4 digit SSYK level. However, there is still reason to believe that the number of people classified in 2149 Engineers not elsewhere classified or 3119 Physical and engineering science technicians not elsewhere classified is overestimated.

The gainfully employed population comprises any person who has worked for at least one hour per week during the month of November. Those temporarily absent during the survey period, for instance due to sick leave, are also included. The same definition is being used in the register-based labour market statistics (RAMS). Some changes have been done as from 2004 years version regarding data over employment. A new source to identify entrepreneurs has been used as well as a minor adjustment to classify employees. For more information see www.scb.se/yrke. Comparisons between separate years should be done with caution. Factors that may complicate such comparisons are new data sources for the Swedish Standard Classification of Occupations (SSYK), improvements and changes in the sources underlying classifications. Starting in 2008 SSYK is based on new classification for municipalities and counties. As a result, several changes have been made in SSYK. occupation 2141 Architects, town and traffic planners As a result of evaluation of quality are 4-digit occupational codes in the occupational group 214 not shown. 2008 is the first year that information on engineers/physical and engineering science technicians is of high enough quality to be published on the 4 digit SSYK level. However, there is still reason to believe that the number of people classified in 2149 Engineers not elsewhere classified or 3119 Physical and engineering science technicians not elsewhere classified is overestimated. 2142 Civil engineers As a result of evaluation of quality are 4-digit occupational codes in the occupational group 214 not shown. 2008 is the first year that information on engineers/physical and engineering science technicians is of high enough quality to be published on the 4 digit SSYK level. However, there is still reason to believe that the number of people classified in 2149 Engineers not elsewhere classified or 3119 Physical and engineering science technicians not elsewhere classified is overestimated. 2143 Electrical engineers As a result of evaluation of quality are 4-digit occupational codes in the occupational group 214 not shown. 2008 is the first year that information on engineers/physical and engineering science technicians is of high enough quality to be published on the 4 digit SSYK level. However, there is still reason to believe that the number of people classified in 2149 Engineers not elsewhere classified or 3119 Physical and engineering science technicians not elsewhere classified is overestimated. 2144 Electronics and telecommunications engineers As a result of evaluation of quality are 4-digit occupational codes in the occupational group 214 not shown. 2008 is the first year that information on engineers/physical and engineering science technicians is of high enough quality to be published on the 4 digit SSYK level. However, there is still reason to believe that the number of people classified in 2149 Engineers not elsewhere classified or 3119 Physical and engineering science technicians not elsewhere classified is overestimated. 2145 Mechanical engineers As a result of evaluation of quality are 4-digit occupational codes in the occupational group 214 not shown. 2008 is the first year that information on engineers/physical and engineering science technicians is of high enough quality to be published on the 4 digit SSYK level. However, there is still reason to believe that the number of people classified in 2149 Engineers not elsewhere classified or 3119 Physical and engineering science technicians not elsewhere classified is overestimated. 2146 Chemical engineers As a result of evaluation of quality are 4-digit occupational codes in the occupational group 214 not shown. 2008 is the first year that information on engineers/physical and engineering science technicians is of high enough quality to be published on the 4 digit SSYK level. However, there is still reason to believe that the number of people classified in 2149 Engineers not elsewhere classified or 3119 Physical and engineering science technicians not elsewhere classified is overestimated. 2147 Mining engineers, metallurgists and related professionals As a result of evaluation of quality are 4-digit occupational codes in the occupational group 214 not shown. 2008 is the first year that information on engineers/physical and engineering science technicians is of high enough quality to be published on the 4 digit SSYK level. However, there is still reason to believe that the number of people classified in 2149 Engineers not elsewhere classified or 3119 Physical and engineering science technicians not elsewhere classified is overestimated. 2148 Cartographers and surveyors As a result of evaluation of quality are 4-digit occupational codes in the occupational group 214 not shown. 2008 is the first year that information on engineers/physical and engineering science technicians is of high enough quality to be published on the 4 digit SSYK level. However, there is still reason to believe that the number of people classified in 2149 Engineers not elsewhere classified or 3119 Physical and engineering science technicians not elsewhere classified is overestimated. 2149 Engineers not elsewhere classified As a result of evaluation of quality are 4-digit occupational codes in the occupational group 214 not shown. 2008 is the first year that information on engineers/physical and engineering science technicians is of high enough quality to be published on the 4 digit SSYK level. However, there is still reason to believe that the number of people classified in 2149 Engineers not elsewhere classified or 3119 Physical and engineering science technicians not elsewhere classified is overestimated. 3111 Chemical and physical science technicians As a result of evaluation of quality are 4-digit occupational codes in the occupational group 311 not shown. 2008 is the first year that information on engineers/physical and engineering science technicians is of high enough quality to be published on the 4 digit SSYK level. However, there is still reason to believe that the number of people classified in 2149 Engineers not elsewhere classified or 3119 Physical and engineering science technicians not elsewhere classified is overestimated. 3112 Civil engineering technicians As a result of evaluation of quality are 4-digit occupational codes in the occupational group 311 not shown. 2008 is the first year that information on engineers/physical and engineering science technicians is of high enough quality to be published on the 4 digit SSYK level. However, there is still reason to believe that the number of people classified in 2149 Engineers not elsewhere classified or 3119 Physical and engineering science technicians not elsewhere classified is overestimated. 3113 Electrical engineering technicians As a result of evaluation of quality are 4-digit occupational codes in the occupational group 311 not shown. 2008 is the first year that information on engineers/physical and engineering science technicians is of high enough quality to be published on the 4 digit SSYK level. However, there is still reason to believe that the number of people classified in 2149 Engineers not elsewhere classified or 3119 Physical and engineering science technicians not elsewhere classified is overestimated. 3114 Electronics and telecommunications engineering technicians As a result of evaluation of quality are 4-digit occupational codes in the occupational group 311 not shown. 2008 is the first year that information on engineers/physical and engineering science technicians is of high enough quality to be published on the 4 digit SSYK level. However, there is still reason to believe that the number of people classified in 2149 Engineers not elsewhere classified or 3119 Physical and engineering science technicians not elsewhere classified is overestimated. 3115 Mechanical engineering technicians As a result of evaluation of quality are 4-digit occupational codes in the occupational group 311 not shown. 2008 is the first year that information on engineers/physical and engineering science technicians is of high enough quality to be published on the 4 digit SSYK level. However, there is still reason to believe that the number of people classified in 2149 Engineers not elsewhere classified or 3119 Physical and engineering science technicians not elsewhere classified is overestimated. 3116 Chemical engineering technicians As a result of evaluation of quality are 4-digit occupational codes in the occupational group 311 not shown. 2008 is the first year that information on engineers/physical and engineering science technicians is of high enough quality to be published on the 4 digit SSYK level. However, there is still reason to believe that the number of people classified in 2149 Engineers not elsewhere classified or 3119 Physical and engineering science technicians not elsewhere classified is overestimated. 3117 Mining and metallurgical technicians As a result of evaluation of quality are 4-digit occupational codes in the occupational group 311 not shown. 2008 is the first year that information on engineers/physical and engineering science technicians is of high enough quality to be published on the 4 digit SSYK level. However, there is still reason to believe that the number of people classified in 2149 Engineers not elsewhere classified or 3119 Physical and engineering science technicians not elsewhere classified is overestimated. 3118 Draughtspersons As a result of evaluation of quality are 4-digit occupational codes in the occupational group 311 not shown. 2008 is the first year that information on engineers/physical and engineering science technicians is of high enough quality to be published on the 4 digit SSYK level. However, there is still reason to believe that the number of people classified in 2149 Engineers not elsewhere classified or 3119 Physical and engineering science technicians not elsewhere classified is overestimated. 3119 Physical and engineering science technicians not elsewhere classified As a result of evaluation of quality are 4-digit occupational codes in the occupational group 311 not shown. 2008 is the first year that information on engineers/physical and engineering science technicians is of high enough quality to be published on the 4 digit SSYK level. However, there is still reason to believe that the number of people classified in 2149 Engineers not elsewhere classified or 3119 Physical and engineering science technicians not elsewhere classified is overestimated.

From 2014 reported occupational data for the revised standard for Swedish Occupational Classification 2012 ( SSYK 2012). SSYK 2012 replaces the previous version , SSYK96 . This means that comparison between 2014 and previous years should not be done. For employees aged 16-64 in 2014 relates most occupations , 74 percent , conditions in the reference year or the year after . 19 percent of the data is imputed using a model based on the occupational code (according SSYK 96 ) the individual had in the register previously . This means that there may be jobs in industries or sectors where they appear abnormal . The previous code used can be up to five years old. For employees in municipalities and county councils The occupational variable SSYK is connected from an AID Label-code. 2018, updates have been made in the AID code, which has led to certain changes among SSYK groups. Therefore, comparisons using SSYK before and after 2018 must be done with caution when looking at municipalities and county councils and also the public sector and entire labour market, especially occupations that are common in municipalities and county councils.

The gainfully employed population comprises any person who has worked for at least one hour per week during the month of November. Those temporarily absent during the survey period, for instance due to sick leave, are also included. The same definition is being used in the register-based labour market statistics (RAMS). Some changes have been done as from 2004 years version regarding data over employment. A new source to identify entrepreneurs has been used as well as a minor adjustment to classify employees. For more information see www.scb.se/yrke. Comparisons between separate years should be done with caution. Factors that may complicate such comparisons are new data sources for the Swedish Standard Classification of Occupations (SSYK), improvements and changes in the sources underlying classifications. Starting in 2008 SSYK is based on new classification for municipalities and counties. As a result, several changes have been made in SSYK. region 03 Uppsala county Heby municipality was transferred from Västmanland county to Uppsala county, in 2007. The new code for Heby municipality is 0331. The new classification can be used from year 2006. 19 Västmanland county Heby municipality was transferred from Västmanland county to Uppsala county, in 2007. The new code for Heby municipality is 0331. The new classification can be used from year 2006.

From 2014 reported occupational data for the revised standard for Swedish Occupational Classification 2012 ( SSYK 2012). SSYK 2012 replaces the previous version , SSYK96 . This means that comparison between 2014 and previous years should not be done. For employees aged 16-64 in 2014 relates most occupations , 74 percent , conditions in the reference year or the year after . 19 percent of the data is imputed using a model based on the occupational code (according SSYK 96 ) the individual had in the register previously . This means that there may be jobs in industries or sectors where they appear abnormal . The previous code used can be up to five years old. For employees in municipalities and county councils The occupational variable SSYK is connected from an AID Label-code. 2018, updates have been made in the AID code, which has led to certain changes among SSYK groups. Therefore, comparisons using SSYK before and after 2018 must be done with caution when looking at municipalities and county councils and also the public sector and entire labour market, especially occupations that are common in municipalities and county councils.

From 2014 reported occupational data for the revised standard for Swedish Occupational Classification 2012 ( SSYK 2012). SSYK 2012 replaces the previous version , SSYK96 . This means that comparison between 2014 and previous years should not be done. For employees aged 16-64 in 2014 relates most occupations , 74 percent , conditions in the reference year or the year after . 19 percent of the data is imputed using a model based on the occupational code (according SSYK 96 ) the individual had in the register previously . This means that there may be jobs in industries or sectors where they appear abnormal . The previous code used can be up to five years old.

From 2014 reported occupational data for the revised standard for Swedish Occupational Classification 2012 ( SSYK 2012). SSYK 2012 replaces the previous version , SSYK96 . This means that comparison between 2014 and previous years should not be done. For employees aged 16-64 in 2014 relates most occupations , 74 percent , conditions in the reference year or the year after . 19 percent of the data is imputed using a model based on the occupational code (according SSYK 96 ) the individual had in the register previously . This means that there may be jobs in industries or sectors where they appear abnormal . The previous code used can be up to five years old. For employees in municipalities and county councils The occupational variable SSYK is connected from an AID Label-code. 2018, updates have been made in the AID code, which has led to certain changes among SSYK groups. Therefore, comparisons using SSYK before and after 2018 must be done with caution when looking at municipalities and county councils and also the public sector and entire labour market, especially occupations that are common in municipalities and county councils.

observationsNumber of employees in the public sector, thousandsEmployed persons refers to all employees in the primary municipal sector except for those on leave of absence. Leaves of absence for the years 1992-1999 are included among the statistical information for the government and other sectors. Preists are included in the statistical information for ecclesiastical regions. The Lutheran Church of Sweden has been included in the private sector since 2000.Number of full-time equivalents in the public sector, thousandsThe amount of full-time employed persons in a reporting group is calculated as the total of the extent of work for those employees in the reporting group. For example, if two employments are added to one another and one is 60% and the other is 40% then the extent of work is equal to a full-time employee. Leaves of absence for the years 1992-1999 are included among the statistical information for the government and other sectors. Preists are included in the statistical information for ecclesiastical regions. The Lutheran Church of Sweden has been included in the private sector since 2000.

Labour input (ESA2010) by industrial classifcation SNI 2007. Quarter 1980K1 - 2018K3Correction 2015-04-24: The table has been corrected for the year 1980. The correction concerns the industry B05-09 Mineral extraction as wells as all summations that includes B05-09.Correction 2017-08-01: Hours worked has been corrected for Q2 2017.The Church of Sweden is reclassified in the year 2000 from the municipal sector to sector NPISH. Before year 2000 the church of Sweden is included in Municipalities and Federations of local government authorities.Swedish Standard Industrial Classification (SNI 2007) and corresponds to Kind of economic activity (NACE Rev. 2) up to 4-digit level. In some cases a marginal difference can be found in reported figures due to rounding off calculations between annual and quarterly National Accounts tables.

Employed persons aged 15-74 (LFS) by degree of attachment to the labour market, sex and age. Month 1970M01 - 2018M11For the period 1970M01-1986M12 there are no estimates for persons aged 20-24, this is indicated by “..” in the time series.For the period 1970M01-2000M12 the population was 16-64 years of age. For this reason there are no estimates for persons aged 15-74, 15-19, 15-24, 65-74, this is indicated by “..” in the time series. For the period 1970M01-2005M03 the time series contains “linked data”. No margins of error (uncertainty figures) for this period are present, this is indicated by “..” in the time series.degree of attachment to the labour marketpermanent employeesPermanent and temporary employees together make up the total number of employeespermanent employeesFor the period 1970M01-1986M12 there are no estimates for permanent employees and temporary employees.temporary employeesPermanent and temporary employees together make up the total number of employeestemporary employeesFor the period 1970M01-1986M12 there are no estimates for permanent employees and temporary employees.self-employed + family workersThe self-employed group includes self-employed persons who have either some form of sole proprietorship, or persons who are freelancers. Family worker includes persons who work without pay in some company belonging to a household member.observationsMargin of error ±, 1000sThe presented margin of error corresponds to a 95 percent confidence interval.observationsMargin of error ±, 1000sBecause the LFS is a sample survey based on a national random probability sample, there is a degree of uncertainty that can be calculated. The presented information consists of estimations and consideration must be taken to uncertainty/margin of error when drawing conclusions. The interval that is created by the level estimation ± margin of error here is a 95 percent confidence interval, which is an interval with a 95 percent probability including the actual value.

Employed persons aged 15-74 (LFS) by region, degree of attachment to the labour market and sex. Quarter 2005K2 - 2018K3degree of attachment to the labour marketpermanent employeesPermanent and temporary employees together make up the total number of employeestemporary employeesPermanent and temporary employees together make up the total number of employeesself-employed + family workersThe self-employed group includes self-employed persons who have either some form of sole proprietorship, or persons who are freelancers. Family worker includes persons who work without pay in some company belonging to a household member.observationsMargin of error ±, 1000sThe presented margin of error corresponds to a 95 percent confidence interval.observationsMargin of error ±, 1000sBecause the LFS is a sample survey based on a national random probability sample, there is a degree of uncertainty that can be calculated. The presented information consists of estimations and consideration must be taken to uncertainty/margin of error when drawing conclusions. The interval that is created by the level estimation ± margin of error here is a 95 percent confidence interval, which is an interval with a 95 percent probability including the actual value.

Employed persons aged 15-74 (LFS) by degree of attachment to the labour market, industrial classification NACE Rev. 2.0 and sex. Month 2009M01 - 2018M11industrial classification NACE Rev. 2New industrial classification SNI 2007 (based on the EU´s industrial standard NACE Rev 2) replaces SNI 2002 as of 2009. As of 2009, information is presented by industry only for work done in Sweden.industrial classification NACE Rev. 2New industrial classification SNI 2007 (based on the EU´s industrial standard NACE Rev 2) replaces SNI 2002 as of 2009. As of 2009, information is presented by industry only for work done in Sweden.degree of attachment to the labour marketemployees, totalEmployees, total incluedes both permanent and temporary employeespermanent employeesPermanent and temporary employees together make up the total number of employeestotal employmentThe employed include employees as well as self-employed persons and assisting family membersindustrial classification NACE Rev. 225-30+33 manufacturing of metal products, machinery and equipment25-30+33 manufacturing of metal products, machinery and equipment is a subset of 05-33+35-39 manufacturing, mining and quarrying, energy and environmentobservationsMargin of error ±, 1000sThe presented margin of error corresponds to a 95 percent confidence interval.observationsMargin of error ±, 1000sBecause the LFS is a sample survey based on a national random probability sample, there is a degree of uncertainty that can be calculated. The presented information consists of estimations and consideration must be taken to uncertainty/margin of error when drawing conclusions. The interval that is created by the level estimation ± margin of error here is a 95 percent confidence interval, which is an interval with a 95 percent probability including the actual value.

Employed persons aged 15-74 (LFS) by degree of attachment to the labour market, level of education and sex. Year 2005 - 2017level of educationThe classification by level of educational attainment is according to the Swedish national educational classification (SUN)degree of attachment to the labour marketpermanent employeesPermanent and temporary employees together make up the total number of employeestemporary employeesPermanent and temporary employees together make up the total number of employeesself-employed + family workersThe self-employed group includes self-employed persons who have either some form of sole proprietorship, or persons who are freelancers. Family worker includes persons who work without pay in some company belonging to a household member.observationsMargin of error ±, 1000sThe presented margin of error corresponds to a 95 percent confidence interval.observationsMargin of error ±, 1000sBecause the LFS is a sample survey based on a national random probability sample, there is a degree of uncertainty that can be calculated. The presented information consists of estimations and consideration must be taken to uncertainty/margin of error when drawing conclusions. The interval that is created by the level estimation ± margin of error here is a 95 percent confidence interval, which is an interval with a 95 percent probability including the actual value.

Employed persons aged 15-74 (LFS) by attachment to the labour market, occupation SSYK 2012 and sex. Month 2015M01 - 2018M11degree of attachment to the labour marketemployees, totalEmployees, total incluedes both permanent and temporary employeespermanent employeesPermanent and temporary employees together make up the total number of employeestotal employmentThe employed include employees as well as self-employed persons and assisting family membersobservationsMargin of error ±The presented margin of error corresponds to a 95 percent confidence interval.observationsMargin of error ±Because the LFS is a sample survey based on a national random probability sample, there is a degree of uncertainty that can be calculated. The presented information consists of estimations and consideration must be taken to uncertainty/margin of error when drawing conclusions. The interval that is created by the level estimation ± margin of error here is a 95 percent confidence interval, which is an interval with a 95 percent probability including the actual value.

Employed who study aged 15-74 (LFS) by full-time/part-time studies, sex and age. Month 2005M04 - 2018M11observationsMargin of error ±The presented margin of error corresponds to a 95 percent confidence interval.observationsMargin of error ±Because the LFS is a sample survey based on a national random probability sample, there is a degree of uncertainty that can be calculated. The presented information consists of estimations and consideration must be taken to uncertainty/margin of error when drawing conclusions. The interval that is created by the level estimation ± margin of error here is a 95 percent confidence interval, which is an interval with a 95 percent probability including the actual value.

Employed who study aged 15-74 (LFS) - average number of hours worked/study hours per week and number of employed by sex and age. Month 2005M04 - 2018M11observationsMargin of error ±, average hours workedThe presented margin of error corresponds to a 95 percent confidence interval.Margin of error ±, average study hoursThe presented margin of error corresponds to a 95 percent confidence interval.Margin of error ±, employedThe presented margin of error corresponds to a 95 percent confidence interval.observationsMargin of error ±, average hours workedBecause the LFS is a sample survey based on a national random probability sample, there is a degree of uncertainty that can be calculated. The presented information consists of estimations and consideration must be taken to uncertainty/margin of error when drawing conclusions. The interval that is created by the level estimation ± margin of error here is a 95 percent confidence interval, which is an interval with a 95 percent probability including the actual value.Margin of error ±, average study hoursBecause the LFS is a sample survey based on a national random probability sample, there is a degree of uncertainty that can be calculated. The presented information consists of estimations and consideration must be taken to uncertainty/margin of error when drawing conclusions. The interval that is created by the level estimation ± margin of error here is a 95 percent confidence interval, which is an interval with a 95 percent probability including the actual value.Margin of error ±, employedBecause the LFS is a sample survey based on a national random probability sample, there is a degree of uncertainty that can be calculated. The presented information consists of estimations and consideration must be taken to uncertainty/margin of error when drawing conclusions. The interval that is created by the level estimation ± margin of error here is a 95 percent confidence interval, which is an interval with a 95 percent probability including the actual value.

Employed aged 15-74 (LFS), of which at work and of which absent from work the whole week by sex and age. Month 1970M01 - 2018M11For the period 1970M01-1986M12 there are no estimates for persons aged 20-24, this is indicated by “..” in the time series.For the period 1970M01-2000M12 the population was 16-64 years of age. For this reason there are no estimates for persons aged 15-74, 15-19, 15-24, 65-74, this is indicated by “..” in the time series. For the period 1970M01-2005M03 the time series contains “linked data”. No margins of error (uncertainty figures) for this period are present, this is indicated by “..” in the time series.

Numbers of employed (ESA2010), working-day and seasonally adjusted by industrial classification SNI 2007. Quarter 1981K1 - 2018K3

Hours worked (ESA2010), working-day and seasonally adjusted by industrial classification SNI 2007. Quarter 1981K1 - 2018K3Seasonally adjusted values for the period 1981-1992 has been calculated as follows: Separate seasonal adjustment was carried out for the periods 1981-1996 and 1993-2015. Thereafter the period 1981- Q4 1992 has been linked to the value for Q1 1993 in the later series. This means that the level of the reported seasonally adjusted series before 1993 are not fully comparable with the unadjusted series and should be used for short-term comparisons only.Correction 2017-08-01: Hours worked has been corrected for Q2 2017. Even previous quarters may have changed.The Church of Sweden is reclassified in the year 2000 from the municipal sector to sector NPISH. Before year 2000 the church of Sweden is included in Municipalities and Federations of local government authorities.Kind of economic activity at the most detailed level is comparable to NACE Rev. 2 down to 4-digit level.

The company Ericsson AB has been reclassified from industry sector C (SNI26) to industry sector J from January 2017. For more information on how this affects AKI, read the Reclassification of Ericsson AB document under More information (www.scb.se/am0301-en)The employers´ tax deduction for youth is changed in the Labour Cost Index in the same month that this deduction is changed for employers. For 2016, this means that employers´ tax deduction was changed in June.Employees of the Swedish Trade Union Confederation, LO, classified as wage-earners. Others are classified as salaried employees.Preliminary indices are published approximately two months after the reference month. Employers contributions are forecasted and retroactive pay is not included.Definitive indices are published approximately 14 months after the reference month. Employers contributions are the actual results for the period. Retroactive pay and later received data from companies are included.According to SNI2007 (Swedish Standard Industrial Classification). For more information, http://www.sni2007.scb.se/

The employers´ tax deduction for youth is changed in the Labour Cost Index in the same month that this deduction is changed for employers. For 2016, this means that employers´ tax deduction was changed in June.Employees of the Swedish Trade Union Confederation, LO, classified as wage-earners. Others are classified as salaried employees.Preliminary indices are published approximately two months after the reference month. Employers contributions are forecasted and retroactive pay is not included.Definitive indices are published approximately 14 months after the reference month. Employers contributions are the actual results for the period. Retroactive pay and later received data from companies are included.According to SNI2007 (Swedish Standard Industrial Classification). For more information, http://www.sni2007.scb.se/

Labour costs (ESA2010), current prices, SEK million by industrial classifcation SNI 2007. Quarter 1993K1 - 2018K32016-09-14 Social contributions of employers have been revised for the period 2006-2013 with respect to reductions of social contributions for young and elderly persons. These revisions have affected the distribution of social contributions of employers between market producers (including producers for own final use) and the general government sector. Total social contributions of employers for the economy as a whole have not been changed for the period 2006-2013. For market producers (including producers for own final use) social contributions of employers have been adjusted downwards and payroll taxes have been adjusted upwards with the same amount.The Church of Sweden is reclassified in the year 2000 from the municipal sector to sector NPISH. Before year 2000 the church of Sweden is included in Municipalities and Federations of local government authorities.Swedish Standard Industrial Classification (SNI 2007) and corresponds to Kind of economic activity (NACE Rev. 2) up to 4-digit level. In some cases a marginal difference can be found in reported figures due to rounding off calculations between annual and quarterly National Accounts tables.

month 2020M10 Subdued labour market with signs of improvement In October 2020, there were 5 492 000 (±54 000) people aged 15–74 years in the labour force, not seasonally adjusted. There were 2 914 000 (±38 000) men and 2 578 000 (±40 000) women in the labour force. The relative labour force participation rate was 72.8 (±0.7) percent. Among women this rate was 69.6 (±1.1) percent and among men the rate was 75.9 (±1.0) percent. There were 564 000 (±31 000) young people aged 15–24 years in the labour force. The relative labour force participation rate for young people was 48.9 (±2.7) percent. According to seasonally adjusted and smoothed data, there were 5 543 000 people in the labour force and the labour force participation rate was 73.5 percent. Both the number of people in the labour force and the labour force participation rate have recovered from the lowest figures in March. The levels in October were comparable to February, when the effects of COVID-19 were not yet discernible in the Swedish labour market. In October 2020, there were 5 062 000 (±55 000) employed people aged 15–74 years, not seasonally adjusted, which is 76 000 fewer than in the same month a year ago. There were 2 381 000 (±42 000) employed women, a decrease of 62 000, and 2 681 000 (±42 000) employed men. The employment rate decreased by 1.2 percentage points and amounted to 67.1 (±0.7) percent. For women the rate dropped by 1.8 percentage points and amounted to 64.3 (±1.1) percent, and for men the rate was 69.9 (±1.1) percent. There were 447 000 (±31 000) employed young people aged 15–24 years and the employment rate among young people was 38.8 (±2.6) percent. According to seasonally adjusted and smoothed data, there were 5 050 000 employed people. This is a decrease of 105 000 people, of whom 58 000 were young people, compared with February 2020. The employment rate was 67.0 percent, which is 1.5 percentage points less than in February 2020. However, since the lowest figure in June, there have now been signs of an upturn in employment. In October 2020, there were 4 552 000 (±60 000) employees, according to non- seasonally adjusted data. There were 3 867 000 (±59 000) permanent employees and 685 000 (±46 000) temporary employees. Compared with February 2020, seasonally adjusted and smoothed data shows a decrease of 97 000 employees, of whom 24 000 were permanent employees, while 73 000 were temporary employees. As with the employment rate, there are signs of improvement compared with June, when the lowest figure was noted. In October 2020, the average number of hours worked was 165.3 (±2.4) million per week, not seasonally adjusted. In calendar-adjusted figures, this corresponds to a decrease of 4.1 percent compared with the corresponding month a year ago. Seasonally adjusted and smoothed data shows that the average number of hours worked per week was 147.8 million, which is 8.1 million hours per week less than in February 2020. In 2020, the smallest number of hours worked per week was noted in April; since then, this figure has increased by 4.3 million hours. There were 4 585 000 (±61 000) people employed and in work in October 2020, not seasonally adjusted. Calendar-adjusted, this corresponds to a decrease of 2.3 percent compared with the same month a year ago. The LFS estimates the number of people who were absent from their principal occupation for the whole week or for part of the week by main reason for absence. In October 2020, this figure was 1 308 000 (±56 000). There were 488 000 (±38 000) people absent for the whole week in October 2020, not seasonally adjusted. Among these, 153 000 (±22 000) were absent due to illness, while 17 000 (±8 000) were absent for the whole week due to lack of work. There were 83 000 (±16 000) people absent due to holidays. People who are absent due to lack of work or lay-offs are often absent for only part of the week. There were 77 000 (±15 000) people in total absent for the whole week or part of the week due to lay-offs. There were 61 000 (±14 000) people who stated lack of work as their main reason for absence. Seasonally adjusted and smoothed data showed that there were 4 245 000 people in work, which is 121 000 fewer than in February 2020. There were 805 000 people absent for the entire week. In 2020, the lowest number of employed people in work was recorded in April. Since April, this figure has increased by 138 000 people. In October 2020, there were 430 000 (±34 000) unemployed people aged 15–74 years, not seasonally adjusted, which is 101 000 more than in the corresponding month a year ago. This corresponds to an unemployment rate of 7.8 (±0.6) percent, which is an increase of 1.8 percentage points. The number of unemployed men increased by 59 000 and amounted to 233 000 (±27 000), and the number of unemployed women increased by 42 000 and amounted to 197 000 (±25 000). Among men, the unemployment rate increased by 1.9 percentage points to 8.0 (±0.9) percent and among women the unemployment rate increased by 1.7 percentage points to 7.7 (±0.9) percent. There were 117 000 (±21 000) unemployed young people aged 15–24 years, which corresponds to a youth unemployment of 20.7 (±3.4) percent. Among people aged 15–74 years, seasonally adjusted and smoothed data shows an increase of 97 000 unemployed people, and an increase of 1.8 percentage points in the unemployment rate compared with February 2020. In October 2020, there were 494 000 unemployed people, which corresponds to an unemployment rate of 8.9 percent. However, seasonally adjusted and smoothed data showed minor changes in unemployment since June, when the highest unemployment rate in 2020 was noted. Among young people aged 15–24 years, seasonally adjusted and smoothed data shows an increase in both the number and proportion of unemployed people compared with February 2020. The number of unemployed young people increased by 26 000 and amounted to 152 000, and the unemployment rate increased by 5.5 percentage points to 25.5 percent.

Labour productivity by industrial classification (ESA2010) SNI 2007, seasonally adjusted. Quarter 1993K1 - 2018K3Correction 2017-08-01: Labour productivity by industrial has been corrected for Q2 2017. Even previous quarters may have changed.The series is an indicator of the seasonally adjusted labour productivity for market producers. It has been calculated as a ratio between seasonally adjusted series for value added and hours worked respectively.Kind of economic activity at the most detailed level is comparable to NACE Rev. 2 down to 4-digit level.

Population aged 15-74 (LFS) by labour status, field of education (SUN 2000) and sex. Year 2005 - 2017observationsMargin of error ±, 1000sThe presented margin of error corresponds to a 95 percent confidence interval.Margin of error ±, percentThe presented margin of error corresponds to a 95 percent confidence interval.observationsMargin of error ±, 1000sBecause the LFS is a sample survey based on a national random probability sample, there is a degree of uncertainty that can be calculated. The presented information consists of estimations and consideration must be taken to uncertainty/margin of error when drawing conclusions. The interval that is created by the level estimation ± margin of error here is a 95 percent confidence interval, which is an interval with a 95 percent probability including the actual value.Margin of error ±, percentBecause the LFS is a sample survey based on a national random probability sample, there is a degree of uncertainty that can be calculated. The presented information consists of estimations and consideration must be taken to uncertainty/margin of error when drawing conclusions. The interval that is created by the level estimation ± margin of error here is a 95 percent confidence interval, which is an interval with a 95 percent probability including the actual value.observations: Percent , labour status: unemployedUnemployed as percentage of labour force. The labour force consists of employed and unemployed persons.observations: Margin of error ±, percent , labour status: unemployedUnemployed as percentage of labour force. The labour force consists of employed and unemployed persons.observations: Percent , labour status: employedEmployed as a percentage of the populationobservations: Margin of error ±, percent , labour status: employedEmployed as a percentage of the population

Population aged 15-74 (LFS) by labour status, level of education and sex. Year 2005 - 2017level of educationThe classification by level of educational attainment is according to the Swedish national educational classification (SUN)observationsMargin of error ±, 1000sThe presented margin of error corresponds to a 95 percent confidence interval.Margin of error ±, percentThe presented margin of error corresponds to a 95 percent confidence interval.observationsMargin of error ±, 1000sBecause the LFS is a sample survey based on a national random probability sample, there is a degree of uncertainty that can be calculated. The presented information consists of estimations and consideration must be taken to uncertainty/margin of error when drawing conclusions. The interval that is created by the level estimation ± margin of error here is a 95 percent confidence interval, which is an interval with a 95 percent probability including the actual value.Margin of error ±, percentBecause the LFS is a sample survey based on a national random probability sample, there is a degree of uncertainty that can be calculated. The presented information consists of estimations and consideration must be taken to uncertainty/margin of error when drawing conclusions. The interval that is created by the level estimation ± margin of error here is a 95 percent confidence interval, which is an interval with a 95 percent probability including the actual value.observations: Percent , labour status: unemployedUnemployed as percentage of labour force. The labour force consists of employed and unemployed persons.observations: Margin of error ±, percent , labour status: unemployedUnemployed as percentage of labour force. The labour force consists of employed and unemployed persons.observations: Percent , labour status: employedEmployed as a percentage of the populationobservations: Margin of error ±, percent , labour status: employedEmployed as a percentage of the population

X sector A new source concerning employees of the municipality sector has been used for the results of the first quarter 2008. Previously the number of employees for the municipality sector has been presented according to the short term business statistics, salaries for municipalities. Now information is presented according to the short term employment statistics. This results in a downward shift of levels compared to previously reported information, implying that the number of employees in the municipality sector is roughly 30 000 less compared to the previous source. The difference is mainly because the short term business statistics, salaries for municipalities includes all those who have received salaries during the month, while the short term employment statistics only measure the number of persons who were employed on a specific day. sector A new source concerning employees of the municipality sector has been used for the results of the first quarter 2008. Previously the number of employees for the municipality sector has been presented according to the short term business statistics, salaries for municipalities. Now information is presented according to the short term employment statistics. This results in a downward shift of levels compared to previously reported information, implying that the number of employees in the municipality sector is roughly 30 000 less compared to the previous source. The difference is mainly because the short term business statistics, salaries for municipalities includes all those who have received salaries during the month, while the short term employment statistics only measure the number of persons who were employed on a specific day. observations Annual change, percent From the second quarter of 2007 onwards, Heby municipality is presented as being located in Uppsala county The comparison quarter is adjusted for this change. quarter 2019K2 Correction 2020-08-20. Data concerning February 2019 has been corrected. observations: Employees , region: 01 Stockholm county Södertälje hospital was transferred to the private sector, second quarter 2009, affecting the reported level. observations: Annual change, percent , region: 01 Stockholm county Södertälje hospital was transferred to the private sector, second quarter 2009, affecting the reported level. observations: Employees , region: 03 Uppsala county From the second quarter of 2007 onwards, Heby municipality is presented as being located in Uppsala county The comparison quarter is adjusted for this change. observations: Annual change, percent , region: 03 Uppsala county From the second quarter of 2007 onwards, Heby municipality is presented as being located in Uppsala county The comparison quarter is adjusted for this change. observations: Employees , region: 19 Västmanland county From the second quarter of 2007 onwards, Heby municipality is presented as being located in Uppsala county The comparison quarter is adjusted for this change. observations: Annual change, percent , region: 19 Västmanland county From the second quarter of 2007 onwards, Heby municipality is presented as being located in Uppsala county The comparison quarter is adjusted for this change.

From 2006 figures are rounded numbers. All numbers are rounded to the nearest hundred, unless the number is under 1000 and then the numbers are rounded to the nearest ten. Totals are calculated before rounding observations Number of employees in the central government sector Employed persons refers to all employees in the central government sector including those on leave of absence or employees working abroad. Number of full-time equivalents in the central government sector The amount of full-time employed persons in a reporting group is calculated as the total of the extent of work for those employees in the reporting group. For example, if two employments are added to one another and one is 60% and the other is 40% then the extent of work is equal to a full-time employee.

From first quarter of 2000 is NACE L included in the total (A-O). The Church of Sweden is defined as private sector from first quarter of 2000. Due to privatization were 4000 employess moved from the county council to private sector during third quarter of 2000. Due to privatization were 10 000 employess transfered from the county council to private sector during thrid quarter of 2001. From first quarter of 2001 were the The Riksbank (Central Bank of Sweden) and enterprises owned by the Government moved from public to private sector.

Population aged 15-74 (LFS) by region, labour status and sex. Quarter 2005K2 - 2018K3observationsMargin of error ±, 1000sThe presented margin of error corresponds to a 95 percent confidence interval.Margin of error ± percentThe presented margin of error corresponds to a 95 percent confidence interval.observationsMargin of error ±, 1000sBecause the LFS is a sample survey based on a national random probability sample, there is a degree of uncertainty that can be calculated. The presented information consists of estimations and consideration must be taken to uncertainty/margin of error when drawing conclusions. The interval that is created by the level estimation ± margin of error here is a 95 percent confidence interval, which is an interval with a 95 percent probability including the actual value.Margin of error ± percentBecause the LFS is a sample survey based on a national random probability sample, there is a degree of uncertainty that can be calculated. The presented information consists of estimations and consideration must be taken to uncertainty/margin of error when drawing conclusions. The interval that is created by the level estimation ± margin of error here is a 95 percent confidence interval, which is an interval with a 95 percent probability including the actual value.observations: Percent , labour status: unemployedUnemployed as percentage of labour force. The labour force consists of employed and unemployed persons.observations: Margin of error ± percent , labour status: unemployedUnemployed as percentage of labour force. The labour force consists of employed and unemployed persons.observations: Percent , labour status: employedEmployed as a percentage of the populationobservations: Margin of error ± percent , labour status: employedEmployed as a percentage of the population

Corrected 26-09-2017. The level of the sick leave in NACE group B+C has been overestimated from the second quarter of 2015 to the third quarter of 2016. X observations Annual change, percent Yearly change reported from 2009Q2. quarter 2019K2 Correction 2020-08-20. Data concerning February 2019 has been corrected.

Average duration of unemployment and number of unemployed persons aged 15-74 (LFS) by level of education and sex. Year 2005 - 2017level of educationThe classification by level of educational attainment is according to the Swedish national educational classification (SUN)observationsAverage value, weeksRevision 2015-01-20 and 2015-06-08 For the period April 2005-January 2006, the data of unemployment is partly based on imputed values (model based imputation) due to collection problems. The share of imputed values is however limited. The proportion was between one and five percent during April-October 2005 and between 17 and 25 percent during November 2005-January 2006.Average value, weeksDuration of unemployment refers to ongoing periods of unemployment.Margin of error ±, weeksDuration of unemployment refers to ongoing periods of unemployment.Margin of error ±, weeksThe presented margin of error corresponds to a 95 percent confidence interval.Unemployed persons, 1000sRevision 2015-01-20 and 2015-06-08 For the period April 2005-January 2006, the data of unemployment is partly based on imputed values (model based imputation) due to collection problems. The share of imputed values is however limited. The proportion was between one and five percent during April-October 2005 and between 17 and 25 percent during November 2005-January 2006.Margin of error ±, 1000sThe presented margin of error corresponds to a 95 percent confidence interval.observationsMargin of error ±, weeksBecause the LFS is a sample survey based on a national random probability sample, there is a degree of uncertainty that can be calculated. The presented information consists of estimations and consideration must be taken to uncertainty/margin of error when drawing conclusions. The interval that is created by the level estimation ± margin of error here is a 95 percent confidence interval, which is an interval with a 95 percent probability including the actual value.Margin of error ±, 1000sBecause the LFS is a sample survey based on a national random probability sample, there is a degree of uncertainty that can be calculated. The presented information consists of estimations and consideration must be taken to uncertainty/margin of error when drawing conclusions. The interval that is created by the level estimation ± margin of error here is a 95 percent confidence interval, which is an interval with a 95 percent probability including the actual value.

Average duration of unemployment and number of unemployed persons aged 15-74 (LFS) by sex and age. Month 2005M04 - 2018M11observationsAverage, weeksRevision 2015-01-20 and 2015-06-08 For the period April 2005-January 2006, the data of unemployment is partly based on imputed values (model based imputation) due to collection problems. The share of imputed values is however limited. The proportion was between one and five percent during April-October 2005 and between 17 and 25 percent during November 2005-January 2006.Unemployed persons, 1000sRevision 2015-01-20 and 2015-06-08 For the period April 2005-January 2006, the data of unemployment is partly based on imputed values (model based imputation) due to collection problems. The share of imputed values is however limited. The proportion was between one and five percent during April-October 2005 and between 17 and 25 percent during November 2005-January 2006.

Unemployed persons and of which full-time students aged 15-74 (LFS) by sex and age. Month 2005M04 - 2018M11observationsMargin of error ±, 1000sThe presented margin of error corresponds to a 95 percent confidence interval.Margin of error ± percentThe presented margin of error corresponds to a 95 percent confidence interval.observationsMargin of error ±, 1000sBecause the LFS is a sample survey based on a national random probability sample, there is a degree of uncertainty that can be calculated. The presented information consists of estimations and consideration must be taken to uncertainty/margin of error when drawing conclusions. The interval that is created by the level estimation ± margin of error here is a 95 percent confidence interval, which is an interval with a 95 percent probability including the actual value.Margin of error ± percentBecause the LFS is a sample survey based on a national random probability sample, there is a degree of uncertainty that can be calculated. The presented information consists of estimations and consideration must be taken to uncertainty/margin of error when drawing conclusions. The interval that is created by the level estimation ± margin of error here is a 95 percent confidence interval, which is an interval with a 95 percent probability including the actual value.

Unemployed persons aged 15-74 (LFS) by duration of unemployment, level of education and sex. Year 2005 - 2017duration of unemploymentRefers to ongoing periods of unemploymentduration of unemploymentRefers to ongoing periods of unemploymentlevel of educationThe classification by level of educational attainment is according to the Swedish national educational classification (SUN)observationsUnemployed persons, 1000sRevision 2015-01-20 and 2015-06-08 For the period April 2005-January 2006, the data of unemployment is partly based on imputed values (model based imputation) due to collection problems. The share of imputed values is however limited. The proportion was between one and five percent during April-October 2005 and between 17 and 25 percent during November 2005-January 2006.Margin of error ±, 1000sThe presented margin of error corresponds to a 95 percent confidence interval.observationsMargin of error ±, 1000sBecause the LFS is a sample survey based on a national random probability sample, there is a degree of uncertainty that can be calculated. The presented information consists of estimations and consideration must be taken to uncertainty/margin of error when drawing conclusions. The interval that is created by the level estimation ± margin of error here is a 95 percent confidence interval, which is an interval with a 95 percent probability including the actual value.

Unemployed persons aged 15-74 (LFS) by duration of unemployment, sex and age. Month 2005M04 - 2018M11observationsUnemployed, 1000sRevision 2015-01-20 and 2015-06-08 For the period April 2005-January 2006, the data of unemployment is partly based on imputed values (model based imputation) due to collection problems. The share of imputed values is however limited. The proportion was between one and five percent during April-October 2005 and between 17 and 25 percent during November 2005-January 2006.

Young people aged 15-24 (LFS) not in employment and not in any education and training (NEET) by sex and labour status. Quarter 2007K1 - 2018K3observationsPercentThe percentage refers to the proportion of unemployed and inactive people who also belong to the group of Young people not in employment and not in any education and training.

Young people aged 15-24 (LFS) not in employment and not in any education and training (NEET) by sex and previous experience of work, Quarter 2007K1 - 2018K3

Young people aged 15-24 (LFS) not in employment and not in any education and training (NEET) by sex and Swedish/foreign born. Quarter 2007K1 - 2018K3

Young people aged 15-34 (LFS) not in employment and not in any education and training (NEET) by sex and age. Quarter 2007K1 - 2018K3observationsThousandsThe NEET indicator refers to persons aged 15-24. The age groups 25-29 and 30-34 are only provided as a reference.PercentThe NEET indicator refers to persons aged 15-24. The age groups 25-29 and 30-34 are only provided as a reference.