Statistics Sweden

Available beds, number of nights spent and occupancy rate in per cent, by region/county. All hotels, holiday villages and youth hostels. Preliminary statistics. Month 2008M01 - 2018M12Please state The Swedish Agency for Economic and Regional Growth and Statistics Sweden as source when publishing information.The monthly tables include preliminary statistics and are updated upon each publishing date up until the final statistics for the current year are published. The monthly tables for 1978-2016 refer to final statistics. The final statistics for 2017 will be published in the spring of 2018.The table contains data on available beds, number of nights spent by region according to the regional divisions on January 1, 2007. Figures according to older regional divisions have been restated in order to facilitate comparisons over time.The monthly tables include preliminary statistics and are updated upon each publishing date up until the final statistics for the current year are published. The monthly tables for 2008-2017 refer to final statistics. The final statistics for 2018 will be published in the spring of 2019.

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.

Retroactive payments for twelve months are included in the definitive monthly salaries, except for January to June 1999, when only retroactive payments for six months are included. This may influence the definitive estimations of changes during 1999 and 2000. In 1999, Älvsborg (a part of Västra Götaland) is not included in the average monthly salaries. In addition, the definitive monthly salaries do not include Region Skåne from January through July. The estimations of changes during 1999 do not include Uppsala, Östergötland, Region Skåne, Älvsborg (part of Västra Götaland) and Västerbotten. In addition, the preliminary estimations of changes for the same period do not include NU hospital group (a group of five hospitals in Västra Götaland). The estimations of changes for 2000 do not include Älvsborg and the NU hospital group. A considerable change in the population occurred in January 2001. Among other things, a number of hospitals that were privatised were transferred to the statistics of the private sector. However, the changes in estimations are based on identical populations where the privatised parts are included (Huddinge Hospital, Danderyd´s Hospital, the Public Dental Service in Stockholm, St. Erik Eye Hospital, Helsingborg General Hospital and Ängelholm´s Hospital). In January 2014 the Swedish Public Dental Service in Skåne with 1400 employed become an enterprise.

Total capacity (including establishments that are closed) by type of establishment camping. Preliminary statistics. Month 2008M01 - 2018M12Please state The Swedish Agency for Economic and Regional Growth and Statistics Sweden as source when publishing information.The monthly tables include preliminary statistics and are updated upon each publishing date up until the final statistics for the current year are published. The monthly tables for 2008-2017 refer to final statistics. The final statistics for 2018 will be published in the spring of 2019.

Total capacity (including establishments that are closed) by type of establishment for hotels, holiday villages and youth hostels. Preliminary statistics. Month 2008M01 - 2018M12The monthly tables include preliminary statistics and are updated upon each publishing date up until the final statistics for the current year are published. The monthly tables for 2008-2017 refer to final statistics. The final statistics for 2018 will be published in the spring of 2019.type of establishmentTotal Hotels, Holiday villages and Youth hostelsHotel (H) , Holiday villages (S),Youth hostels (V)

Index: 1980=100 Annual Data link https://knoema.com/SCB_KPICOI80Ar/consumer-price-index-cpi-annual-averages-by-product-group-coicop-sweden

Revised figures 2011-02-17 on May 2009 - December 2010. Revised figures January-July 2008.The Shadow index for Sweden is published with two decimals from January 2006. Shadow index numbers differ in some months from the corresponding fixed index numbers, which are the index numbers used in regulations referring to the consumer price index in laws, ordinances and agreements. The shadow index numbers are adjusted to take into account certain inadequacies in the basic data on prices or in the methods used for calculating fixed index numbers. Thus, they are consistent with the index for main and subgroups, where corresponding adjustments have been made.The monthly change is calculated on shadow index numbers with two decimals. Revised number compared to earlier published for January 1980, January 1981, January 1982, January 1983, January 1985, January 1987, January 1988, January 1989, January 1991, January 1992, January 1994, January 1995, January 1996, January 1997, January 1998, January 1999, January 2000, January 2001, January 2002, January 2003 and January 2004. Monthly change has revised for January, March, April and July 2008.

Consumer Price Index (CPI), total, Shadow Index numbers, 1980=100. Month 1980M01 - 2021M3

Revised figures 2011-02-17 on May 2009 - December 2010. Revised figures January-July 2008.The Shadow index for Sweden is published with two decimals from January 2006. Shadow index numbers differ in some months from the corresponding fixed index numbers, which are the index numbers used in regulations referring to the consumer price index in laws, ordinances and agreements. The shadow index numbers are adjusted to take into account certain inadequacies in the basic data on prices or in the methods used for calculating fixed index numbers. Thus, they are consistent with the index for main and subgroups, where corresponding adjustments have been made.The annual change is calculated on shadow index numbers with two decimals.For legal and contractual index-linking, the fixed CPI totals (1980=100) with one decimal are normally used. The annual change has revised for April-July 2008.The inflation rate has been corrected 2012-10-29 for 2001M08, 2000M01,1998M03, 1997M04, 1996M11, 1996M06, 1993M07, 1992M06, 1991M07, 1991M03, 1988M03, 1986M10, 1986M09, 1986M08, 1986M03, 1983M08, 1983M05, 1982M12, 1982M03 and 1980M03.Inflation figures for January 1980 - December 2004 are calculated according to the method applied since January 2005. The inflation figures published during January 1980 - December 2004 and calculated using the previously used method are provided in table Consumer Price Index (CPI), annual changes (Inflation Rate, according to old method, no update after 2004M12), 1980=100. Month 1980M01 - 2004M12.

Consumer Price Index (CPI)/Living Cost Index, excluding taxes and social benefits, July 1914=100. Month 1914M01 - 2018M11The Cost-of-Living index (excluding direct taxes and social benefits) started in 1914 and ended in June 1954. Since July 1954 it is calculated using the changes in the Consumer Price Index, CPI. The Myrdal-Bouvin consumer price index for 1830 to 1930 has been used for the period prior to 1914. It is difficult to make comparisons over a long period of time, especially since the living conditions have changed dramatically since 1830.

The CPI for Sweden is published with two decimals from January 2006.The CPI for a particular month is formally fixed after publication and is not open to revision. These fixed index numbers are those that apply when regulations in laws, ordinances and agreements refer to the consumer price index. The table gives current index numbers before they are formally fixed.

Deliveries of Liquid Fuels by Commodity and Consumer Category. Month 1997M01 - 2017M12

Deliveries of Oil Products Divided into User Categories, M3 and tonnes. Month 1997M01 - 2017M12

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 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 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.

Previous time periods are not revised in conjunction with new publication.”Observations: Current period , month: 2022M09Net trade balance at SEK -1.8 billion in SeptemberForeign trade in goods resulted in a net trade deficit of SEK 1.8 billion in September 2022, according to preliminary calculations. In September 2021, there was a net trade surplus of SEK 5.5 billion. The value of exports in September 2022 was SEK 179.5 billion, while imports were valued at SEK 181.3 billion. The corresponding values for September 2021 were SEK 146.8 billion for exports and SEK 141.3 billion for imports. Exports of goods have thus increased by 22 percent in value, and imports have increased by 28 percent in value compared with September 2021. The number of weekdays in September 2022 was the same as it was in September 2021. Trade in goods with countries outside the EU resulted in a surplus of SEK 19.6 billion, while EU trade resulted in a deficit of SEK 21.4 billion. As from February 2020, the United Kingdom no longer forms part of the group EU Member States and is included, instead, in the group Non-EU Member States. During the last nine months, the value of exports of goods increased by 24 percent, and the value of imports of goods increased by 29 percent compared with the corresponding period one year ago. Exports were valued at SEK 1 465.6 billion and imports were valued at SEK 1 493.1 billion, resulting in a net trade deficit of SEK 27.5 billion for January - September 2022. The corresponding net trade balance for these months one year earlier was a surplus of SEK 25.9 billion.

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) 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/

economic indicator Labour cost index (AKI) for wage-earners The percentage change in labour costs is based on preliminary indices in both periods. Labour cost index (AKI) for salaried employees The percentage change in labour costs is based on preliminary indices in both periods. month 2020M09 Labour cost index (AKI), September 2020 The Labour Cost Index (AKI) for the private sector in September 2020 was 129.7 for wage-earners and 138.6 for salaried employees. Compared to September 2019, labour costs have increased by 0.4 percent for wage-earners and by 2.9 percent for salaried employees.

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/

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.

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.

Monetary financial institutions´ (MFI) assets and liabilities (incl. the Central Bank and excl. Swedish foreign branches). Month 2004M01 - 2018M10

In June 2018, 67 553 passenger cars were newly registered, up 69.4 percent from June last year. This large increase is mainly due to the new Bonus Malus system that will change the vehicle tax from 1 July 2018.  In July 2018, 13 798 passenger cars were newly registered, down 47.3 percent from July last year. The large decrease is a consequence of the all-time high in new registrations in June, which in turn is due to the Bonus Malus system that were implemented on 1 July 2018.  Statistical news, Registered vehicles.

The years 2002–2005 is not included in this time series as the vehicle register does not contain information of the second type of fuel, why hybrid vehicles can´t be properly reported.

Nights spent by type of establishment and region/county. Preliminary statistics. Month 2008M01 - 2018M12Please state The Swedish Agency for Economic and Regional Growth and Statistics Sweden as source when publishing information.The monthly tables include preliminary statistics and are updated upon each publishing date up until the final statistics for the current year are published. The monthly tables for 2008-2017 refer to final statistics. The final statistics for 2018 will be published in the spring of 2019.type of establishmentAll Hotel, Holiday village, Camping and Commercially arranged rentals in private cottages and appartmentsHotel (H) , holiday villages (S),Youth hostels (V) Camping sites (C )and Commercially arranged private cottage and apartment rentals (SoL)observations: Number , type of establishment: All Hotel, Holiday village, Camping and Commercially arranged rentals in private cottages and appartmentsCommercially arranged private cottages and apartments are not included in regions and Sweden excluding metropolitan areas.observations: Number , region: 0010 Greater StockholmCommercially arranged private cottages and apartments are not included in regions and Sweden excluding metropolitan areas.observations: Number , region: 0020 Greater GothenburgCommercially arranged private cottages and apartments are not included in regions and Sweden excluding metropolitan areas.observations: Number , region: 0030 Greater MalmöCommercially arranged private cottages and apartments are not included in regions and Sweden excluding metropolitan areas.observations: Percent , region: 0060 Sweden excluding metropolitan areasCommercially arranged private cottages and apartments are not included in regions and Sweden excluding metropolitan areas.observations: Percent , type of establishment: All Hotel, Holiday village, Camping and Commercially arranged rentals in private cottages and appartmentsCommercially arranged private cottages and apartments are not included in regions and Sweden excluding metropolitan areas.observations: Percent , region: 0010 Greater StockholmCommercially arranged private cottages and apartments are not included in regions and Sweden excluding metropolitan areas.observations: Percent , region: 0020 Greater GothenburgCommercially arranged private cottages and apartments are not included in regions and Sweden excluding metropolitan areas.observations: Percent , region: 0030 Greater MalmöCommercially arranged private cottages and apartments are not included in regions and Sweden excluding metropolitan areas.observations: Percent , region: 0060 Sweden excluding metropolitan areasCommercially arranged private cottages and apartments are not included in regions and Sweden excluding metropolitan areas.

Nights spent of all hotels, holiday villages, youth hostels, camping sites and commercially arranged private cottages and apartments by region/county and by country of residence. Month 2008M01 - 2018M12Please state The Swedish Agency for Economic and Regional Growth and Statistics Sweden as source when publishing information.The monthly tables include preliminary statistics and are updated upon each publishing date up until the final statistics for the current year are published. The monthly tables for 2008-2017 refer to final statistics. The final statistics for 2018 will be published in the spring of 2019.As of January 2011 camping grounds are presented as the same country of residence as other types of establishments.regionCommercially arranged private cottages and apartments are not included in regions and other Sweden excluding metropolitan areas.country of residenceCountry of residence refers to the country where the guest, regardless of citizenship, resides permanently (more than 12 months). A Swedish citizen residing abroad is thus presented as a guest from the country of residence.

Number of available rooms and occupancy rate, revenue per occupied room for hotels, by region/county. Preliminary statistics. Month 2008M01 - 2018M12Please state The Swedish Agency for Economic and Regional Growth and Statistics Sweden as source when publishing information.The monthly tables include preliminary statistics and are updated upon each publishing date up until the final statistics for the current year are published. The monthly tables for 2008-2017 refer to final statistics. The final statistics for 2018 will be published in the spring of 2019.

Data cited at: Swedish Agency for Economic and Regional Growth and Statistics SwedenPreliminary statistics. Month 1978M01 - 2019M02Between 1978 and 1994, Canada, Denmark, Finland, France, Germany, Italy, Japan, the Netherlands, Norway, Sweden, Switzerland, the United Kingdom, and the United States were reported separately. Ahead of 1995, the number of specified countries of residence was increased from 15 to 25. Ahead of 1997, the number was further increased to 33; in 2004, the number of countries of residence was increased to 34, and from 2008, 41 countries of residence are reported.Commercially arranged rentals in private cottages and apartments (SoL) have been included in the statistics since 2003. Camping has been included in the statistics since 2008. In 1994, 150 facilities, mainly conference facilities, were added to the Hotels category as a basis for the statistics.The monthly tables include preliminary statistics and are updated upon each publishing date up until the final statistics for the current year are published. The monthly tables for 2008-2018 refer to final statistics. The final statistics for 2019 will be published in the spring of 2020.country of residenceCountry of residence refers to the country where the guest, regardless of citizenship, resides permanently (more than 12 months). A Swedish citizen residing abroad is thus presented as a guest from the country of residence.country of residenceCountry of residence refers to the country where the guest, regardless of citizenship, resides permanently (more than 12 months). A Swedish citizen residing abroad is thus presented as a guest from the country of residence.country of residenceOther EuropeIn 1978-1994, the Rest of Europe category comprised all European countries except for Denmark, Finland, France, Germany, Italy, the Netherlands, Norway, Sweden, Switzerland, the United Kingdom, which were reported separately. Subsequently, the following changes have been made: As from 1995, Austria, Belgium, Estonia, Latvia, Lithuania, Poland, Russia, and Spain are reported separately and therefore are no longer included in the Rest of Europe category. As from 1997, the Czech Republic, Greece, Hungary, Iceland, Ireland, Luxembourg, Portugal, Slovakia, and Turkey are reported separately and therefore are no longer included in the Rest of Europe category. As from 2008, Bulgaria, Cyprus, Malta, Romania, and Slovenia are reported separately and therefore are no longer included in the Rest of Europe category.Rest of AmerikaIn 1997, the Rest of the Americas category, which was previously included in the Other countries category, was added. Subsequently, the following change has been made: As from 2008, Brazil is reported separately and therefore is no longer included in the Rest of the Americas category.Other AsiaIn 1997, the Other Asia category, which was previously included in the Other countries category, was added. Subsequently, the following changes have been made: As from 2004, China is reported separately and therefore is no longer included in the Other Asia category. As from 2008, India is reported separately and therefore is no longer included in the Other Asia category.Other countriesIn 1978-1994, the Other countries category comprised all non-European countries except Canada, Japan, and the United States, which were reported separately. Subsequently, the following changes have been made: As from 1995, Australia and South Korea are reported separately and therefore are no longer included in the Other countries category. As from 1997, New Zealand is reported separately and therefore is no longer included in the Other countries category. In 1997, the Rest of the Americas and the Other Asia categories were added, and therefore are no longer included in the Other countries category.Information missingIn 1997, the Not specified category was added.

Please state The Swedish Agency for Economic and Regional Growth and Statistics Sweden as source when publishing information. The monthly tables include preliminary statistics and are updated upon each publishing date up until the final statistics for the current year are published. The monthly tables for 2008-2018 refer to final statistics. The final statistics for 2019 will be published in the spring of 2020. Type of housing for overnight stay rooms in hostels The number of occupied room for youth hostel are reported from 2019.

Please state The Swedish Agency for Economic and Regional Growth and Statistics Sweden as source when publishing information. Category of guest is reported as a percentage of the total number of occupied rooms. The monthly tables include preliminary statistics and are updated upon each publishing date up until the final statistics for the current year are published. The monthly tables for 2008-2018 refer to final statistics. The final statistics for 2019 will be published in the spring of 2020. observations Number of occupied rooms The total number of rooms and category of guest in per cent for youth hostel are reported from 2019.

Orders in industry, 2015=100, by market and industrial classification NACE Rev.2. Monthly 2000M01 - 2018M102015-04-07 Aggregates and associated sub-sectors for Orders in industry has been corrected for the period January 2015.In connection with the publishing of April 2015 some methodological changes have introduced, among other a change of index method. The time series have been calculated back to 2000 in order to decrease possible level shifts and breaks in the time series, which have resulted in revisions in some historical series.2015-11-05 In connection with the publishing of September 2015, the statistics was revised back to April 2015. This is due to new information in NACE 19 Petroleum Industry and NACE 23 industry for non-metallic mineral products. This primarily affects these sub-sectors and the aggregates where these are included.2016-04-05 In connection with the publishing of February 2016, the statistics was revised back to April 2015. This is due to new information in NACE 24 industry for basic metals. This primarily affects this sub-sector and the aggregates where it is included.2016-12-05 In connection with the publishing of October 2016, the statistics was revised back to April 2015. This is due to new information in NACE 29 Motor vehicle industry. This primarily affects this sub-sector and the aggregates where it is included.2017-01-10 In connection with the publishing of November 2016, the statistics was revised back to April 2015. This is due to new information in the B industry aggregate.In connection with the publishing of March 2017, the Turnover in the service sector were revised back to January 2015. This is due to reclassification of Ericsson AB. As a result of this, also minor revisions are found in these statistics.Revised figures 2018-02-06. In connection with the December 2017 publication, statistics on the motor vehicle industry, linked aggregates and total industry were revised from January 2016.Revised figures 2018-05-04. In connection with the March 2018 publication, statistics on the motor vehicle industry, linked aggregates and total industry were revised from January 2016 as a result of new information to Statistics Sweden.Revised figures 2018-07-05. In connection with the May 2018 publication, statistics on the motor vehicle industry, linked aggregates and total industry were revised from January 2017 as a result of new information to Statistics Sweden. Only the allocation between import and export markets has been revised, the total turnover remains unchanged.Revised figures 2018-08-07. In connection with the June 2018 publication, order statistics on paper and paperboard industry, linked aggregates and total industry were revised for the month of March 2018 as a result of new information to Statistics Sweden. Only the allocation between import and export markets has been revised, the total turnover remains unchanged.observationsCurrent prices, not calendar adjustedData marked with .. involves classified information or missing dataConstant prices, not calendar adjustedData marked with .. involves classified information or missing dataConstant prices, calendar adjustedData marked with .. involves classified information or missing dataConstant prices, calendar adjusted and seasonally adjustedData marked with .. involves classified information or missing dataTrendData marked with .. involves classified information or missing dataMonthly developmentPercentage change compared with previous month adjusted for calendar and seasonal effects.Annual developmentPercentage change compared with same month previous year adjusted for calendar effects.

Vehicles from the vehicle register by type of vehicle and stock. Month 1975M01 - 2018M11type of vehiclemotorcycles, excl. mopeds class 1From January 2007 motorcycles and mopeds class 1 can be distinguished with its own value, previous both values where included in motorcycles.motorcycles, excl. mopeds class 1The significant increase in December 2016 in newly registered motorcycle is due to the more stringent requirements for exhaust emissions from the 1st of January 2017 in Sweden. From 2017 a motorcycle must meet the requirements of Euro 4 to be able to be registered in Sweden.mopeds class 1From January 2007 motorcycles and mopeds class 1 can be distinguished with its own value, previous both values where included in motorcycles.motorcyclesUntil December 1998 the numbers only refers to motorcykels. Between January 1999 to December 2006 the numbers includes both motorcycles and mopeds class1.statusderegistrationNumbers of deregistrated vehicles is missing for the period of Jan 1975 - Dec 1977.month1993M10The number of Cross-country scooter in use for October 1993 were corrected 2011-05-07.

Please state The Swedish Agency for Economic and Regional Growth and Statistics Sweden as source when publishing information.Accommodation revenue for camping is reported from 2019.Accommodation revenue per occupied room for youth hostel is reported from 2019.The effects of the coronavirus pandemic entail risks of greater uncertainty in the preliminary statistics, in which various target characteristics in the accommodation statistics may be over- or underestimated. For this reason, statistics from March 2020 and onwards should be interpreted with some caution.Accommodation revenue is presented excluding VAT.The monthly tables include preliminary statistics and are updated upon each publishing date up until the final statistics for the current year are published. The monthly tables for 2008-2019 refer to final statistics. The final statistics for 2020 will be published in the spring of 2021.

Revenue of occupied rooms for hotels. Preliminary statistics. Month 2008M01 - 2018M12Please state The Swedish Agency for Economic and Regional Growth and Statistics Sweden as source when publishing information.The monthly tables include preliminary statistics and are updated upon each publishing date up until the final statistics for the current year are published. The monthly tables for 2008-2017 refer to final statistics. The final statistics for 2018 will be published in the spring of 2019.

Since January 2003 swaps are included in the official central government debt which must be noted when comparisions with previous months are done. The instruments in the central government debt are also now valued at their nominal final value in accordance with the same principles in effect in the EU.As of the January outcome 2012, the Swedish National Debt Office has implemented certain changes for how central government debt is reported. The changes apply to the accounting of collateral, which is paid in connection with changes in the market value of swaps and interest rate futures, and of reverse repos in our own government securities. This means in brief that collateral is added and assets in repos in our own securities are removed. Purpose of these changes is to achieve a more consistent and transparent reporting. At the present time, the changes mean that the reported debt will become somewhat larger, but this effect will fade over time.itemswapsCorrection 2011-03-14. The value for government bonds, currency swaps in SEK, has been corrected (incorrect figures in the publishing on 2011-03-08).iteminflation-linked bondsIncl inflation compensation since 2003M01national debt account and savingsIncluding natoinal debt savingsnational savings accountHas not existed since 1998M05other debt denominated in SEKIncluding overnight borrowing.

Turnover in industry, 2015=100, by market and industrial classification NACE Rev.2. Monthly 2000M01 - 2018M102015-04-07 Aggregates and associated sub-sectors for Turnover in industry has been corrected for the period January 2015.In connection with the publishing of April 2015 some methodological changes have introduced, among other a change of index method. The time series have been calculated back to 2000 in order to decrease possible level shifts and breaks in the time series, which have resulted in revisions in some historical series.2015-11-05 In connection with the publishing of September 2015, the statistics was revised back to April 2015. This is due to new information in NACE 19 Petroleum Industry and NACE 23 industry for non-metallic mineral products. This primarily affects these sub-sectors and the aggregates where these are included.2016-04-05 In connection with the publishing of February 2016, the statistics was revised back to April 2015. This is due to new information in NACE 24 industry for basic metals. This primarily affects this sub-sector and the aggregates where it is included.2016-12-05 In connection with the publishing of October 2016, the statistics was revised back to April 2015. This is due to new information in NACE 29 Motor vehicle industry. This primarily affects this sub-sector and the aggregates where it is included.2017-01-10 In connection with the publishing of November 2016, the statistics was revised back to April 2015. This is due to new information in the B industry aggregate.In connection with the publishing of March 2017, the Turnover in the service sector were revised back to January 2015. This is due to reclassification of Ericsson AB. As a result of this, also minor revisions are found in these statistics.Revised figures 2018-02-06. In connection with the December 2017 publication, statistics on the motor vehicle industry, linked aggregates and total industry were revised from January 2016.Revised figures 2018-05-04. In connection with the March 2018 publication, statistics on the motor vehicle industry, linked aggregates and total industry were revised from January 2016 as a result of new information to Statistics Sweden.Revised figures 2018-07-05. In connection with the May 2018 publication, statistics on the motor vehicle industry, linked aggregates and total industry were revised from January 2017 as a result of new information to Statistics Sweden. Only the allocation between import and export markets has been revised, the total turnover remains unchanged.observationsCurrent prices, not calendar adjustedData marked with .. involves classified information or missing dataConstant prices, not calendar adjustedData marked with .. involves classified information or missing dataConstant prices, calendar adjustedData marked with .. involves classified information or missing dataConstant prices, calendar adjusted and seasonally adjustedData marked with .. involves classified information or missing dataTrendData marked with .. involves classified information or missing dataMonthly developmentPercentage change compared with previous month adjusted for calendar and seasonal effects.Annual developmentPercentage change compared with same month previous year adjusted for calendar effects.

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, 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.