80 datasets found
  1. Consumers that are middle and upper class in Nordic countries 2024

    • statista.com
    Updated Aug 28, 2025
    + more versions
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    Statista (2025). Consumers that are middle and upper class in Nordic countries 2024 [Dataset]. https://www.statista.com/statistics/1484588/nordics-consumers-middle-upper-class-above-number/
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    Dataset updated
    Aug 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Sweden
    Description

    In Sweden, ************* people counts as upper class or above, earning at least the equivalent of the highest ** percent of global income earners as of 2022 in purchasing power parity (PPP) terms. Meanwhile, the share was highest in Norway, and lowest in Finland. The countries are among the ones with the highest gross domestic product (GDP) per capita worldwide.

  2. Share of labor force with full-time work in Sweden 2020, by class and gender...

    • statista.com
    Updated Feb 15, 2021
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    Statista (2021). Share of labor force with full-time work in Sweden 2020, by class and gender [Dataset]. https://www.statista.com/statistics/1020531/share-of-labor-force-with-permanent-full-time-contracts-in-sweden-by-class-and-gender/
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    Dataset updated
    Feb 15, 2021
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    Sweden
    Description

    In Sweden, it is more common among civil servants to have a permanent full-time job than among workers. Moreover, a permanent full-time employment is more common among men than among women. In 2020, 90 percent of the male civil servants and 88 percent of the female had a permanent full-time contract.

  3. f

    Data from: Swedish rape offenders — a latent class analysis

    • tandf.figshare.com
    docx
    Updated Jun 3, 2023
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    Ardavan Khoshnood; Henrik Ohlsson; Jan Sundquist; Kristina Sundquist (2023). Swedish rape offenders — a latent class analysis [Dataset]. http://doi.org/10.6084/m9.figshare.14073971.v1
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    docxAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    Taylor & Francis
    Authors
    Ardavan Khoshnood; Henrik Ohlsson; Jan Sundquist; Kristina Sundquist
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Sweden
    Description

    Sweden has witnessed an increase in the rates of sexual crimes including rape. Knowledge of who the offenders of these crimes are is therefore of importance for prevention. We aimed to study characteristics of individuals convicted of rape, aggravated rape, attempted rape or attempted aggravated rape (abbreviated rape+), against a woman ≥18 years of age, in Sweden. By using information from the Swedish Crime Register, offenders between 15 and 60 years old convicted of rape+ between 2000 and 2015 were included. Information on substance use disorders, previous criminality and psychiatric disorders were retrieved from Swedish population-based registers, and Latent Class Analysis (LCA) was used to identify classes of rape+ offenders. A total of 3 039 offenders were included in the analysis. A majority of them were immigrants (n = 1 800; 59.2%) of which a majority (n = 1 451; 47.7%) were born outside of Sweden. The LCA identified two classes: Class A — low offending class (LOC), and Class B — high offending class (HOC). While offenders in the LOC had low rates of previous criminality, psychiatric disorders and substance use disorders, those included in the HOC had high rates of previous criminality, psychiatric disorders and substance use disorders. While HOC may be composed by more “traditional” criminals probably known by the police, the LOC may represent individuals not previously known by the police. These two separated classes, as well as our finding in regard to a majority of the offenders being immigrants, warrants further studies that take into account the contextual characteristics among these offenders. Key pointsRape, aggravated rape, attempted rape or attempted aggravated rape (rape+) are increasing in Sweden.The majority of those convicted of rape+ are immigrants.LCA identifies two classes of rape+ offenders: LOC and HOC. Rape, aggravated rape, attempted rape or attempted aggravated rape (rape+) are increasing in Sweden. The majority of those convicted of rape+ are immigrants. LCA identifies two classes of rape+ offenders: LOC and HOC.

  4. d

    Swedish level of living survey (LNU): Register information on occupation,...

    • datasets.ai
    • researchdata.se
    Updated Dec 31, 1998
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    Sveriges dataportal (1998). Swedish level of living survey (LNU): Register information on occupation, social class and education [Dataset]. https://datasets.ai/datasets/https-snd-se-catalogue-dataset-ext0007-2
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    Dataset updated
    Dec 31, 1998
    Dataset authored and provided by
    Sveriges dataportal
    Description

    The first level of living survey started within the framework of a governmental commission set up to study the prevalence and problems of low incomes. Their task was broadly defined, so beside a range of studies on income and income distributions they also commissioned a group of sociologists, headed by Sten Johansson, to study the distribution of welfare in Sweden more generally. The study by Johansson and his colleagues, undertaken in 1968, came to be known as the Level of Living Survey. From the beginning it was not the longitudinal aspect that was the novelty, but rather the fact that a wide spectrum of living conditions was studied with the survey method as such.

    The division of level of living into different components, inspired by the work within the UN, resulted in the following list of components included in the Swedish Level of Living Surveys: Health and access to care; Employment and working conditions; Economic resources; Educational resources; Family and social integration; Housing and neighbourhood facilities; Security of life and property; Recreation and culture; Political resources.

    The first survey was based on a 0.0001 random sample of the Swedish population aged 15 to 75 years of age. The interviews were made face-to-face according to a structured questionnaire covering all areas listed above. A large number of questions were asked dealing with a variety of aspects within each area.

    The 1968 survey was to be repeated in 1974, and the decision was made to stick to the original sample but also include new cohorts of young people and immigrants arriving to Sweden in between the survey periods. Dropped from the sample was those above 75 years of age and those who had either emigrated or died. In 1981 the third Level of Living Survey was conducted with the same sample design and by and large with the same questionnaire. When Johansson left the project in 1982 Robert Erikson became the project leader. Erikson was project leader for the fourth level of living survey, conducted in 1991. During the project period Jan O. Jonsson and Johan Fritzell also were directors of the survey work. The 1991 survey was conducted with basically the same design, except for the fact that the youngest age bracket now became 18 instead of 15. The 1991 survey was enlarged in several respects. An obvious drawback of the panel design in the Level of Living Surveys is the relatively large time-span between each survey. Partly in order to fill in these missing years the 1991 questionnaire includes a work-life history section, and educational and family histories as well, thereby broadening the longitudinal aspects of the study. A second novelty was a specific survey to all individuals previously within the sample but excluded in the 1991 survey, due to the upper age limit. The sample included all persons older than 75 in 1991 who had previously been included in the Level of Living Survey sample and had been interviewed at least once. The interviews included most of the welfare components, with the exception of work related questions and education. Instead, more detailed data on health status and functional abilities was collected, partly by means of simple test performed during the interview. The third major extension was a separate work-place study consisting of interviews with managers at the work-places of all individuals who were employed at a work-place with at least ten employees.

  5. e

    Statistics Agency Statistics Sweden — Statistics Sweden’s display service...

    • data.europa.eu
    wms
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    Statistics Agency Statistics Sweden — Statistics Sweden’s display service INSPIRE [Dataset]. https://data.europa.eu/data/datasets/17098667-31e6-4b38-b3ed-40108205b626?locale=en
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    wmsAvailable download formats
    License

    http://resources.geodata.se/codelist/metadata/anvandningsrestriktioner.xml#CC01.0http://resources.geodata.se/codelist/metadata/anvandningsrestriktioner.xml#CC01.0

    Area covered
    Sweden
    Description

    Statistics Agency Statistics Sweden — Statistics Sweden’s display service INSPIRE contains the datasets: SU.Statistic Grid.1Km Routes, PD.Population distribution.Total population, PD.Population distribution.Kön, PD.Population distribution.5year classes, US.Administrative andSocial Public Services.Authority andCommunity Office, US.Administrative andSocial Public Services.Preschools.

  6. Average monthly salary in Sweden 2021, by class

    • statista.com
    Updated Oct 7, 2022
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    Statista (2022). Average monthly salary in Sweden 2021, by class [Dataset]. https://www.statista.com/statistics/740068/average-monthly-salary-in-sweden-by-class/
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    Dataset updated
    Oct 7, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    Sweden
    Description

    In 2021, workers in Sweden earned on average ****** Swedish kronor monthly, while civil servants had an average salary of ****** Swedish kronor per month. What is more, men tend to earn a higher monthly salary than women.

  7. Knowledge and Attitudes towards Antibiotic Use and Resistance - A Latent...

    • plos.figshare.com
    doc
    Updated May 31, 2023
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    Martina Vallin; Maria Polyzoi; Gaetano Marrone; Senia Rosales-Klintz; Karin Tegmark Wisell; Cecilia Stålsby Lundborg (2023). Knowledge and Attitudes towards Antibiotic Use and Resistance - A Latent Class Analysis of a Swedish Population-Based Sample [Dataset]. http://doi.org/10.1371/journal.pone.0152160
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    docAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Martina Vallin; Maria Polyzoi; Gaetano Marrone; Senia Rosales-Klintz; Karin Tegmark Wisell; Cecilia Stålsby Lundborg
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Sweden
    Description

    BackgroundIn 2006, a study investigating knowledge and attitudes regarding antibiotic use and resistance in Sweden, indicated high level of knowledge but also areas in need of improvement.Objective(i) To provide an update on the knowledge and attitudes to antibiotic use and resistance of the Swedish population, and (ii) to identify which groups within the population are in particular need of improved knowledge or attitudes.MethodsA questionnaire was sent by post in 2013 to 2,500 randomly-selected individuals aged 18–74, living in Sweden. Latent class analyses were conducted to group respondents based on their responses. The association between socio-demographic characteristics and the probability of belonging to each latent class was assessed.ResultsThe response rate was 57%. Ninety-four per cent of the responders knew that bacteria could become resistant to antibiotics and the majority answered correctly to the questions regarding antibiotic resistance development. The respondents expressed confidence in doctors who decided not to prescribe antibiotics. Three latent classes related to ‘knowledge regarding antibiotic use and resistance’, two regarding ‘attitudes towards antibiotic accessibility and infection prevention’ and three regarding ‘attitudes towards antibiotic use and effects’ were revealed. Men, younger and more educated people were more knowledgeable but males had a less restrictive attitude. Respondents with high levels of knowledge on antibiotics were more likely to have appropriate restrictive attitudes to antibiotics.ConclusionKnowledge on antibiotic use and resistance is maintained high and has improved in Sweden compared to 2006. People with lower education and elderly are especially in need of improved knowledge about antibiotic use and resistance.

  8. Number of preschool class pupils with foreign mother tongue in Sweden...

    • statista.com
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    Statista, Number of preschool class pupils with foreign mother tongue in Sweden 2013-2023 [Dataset]. https://www.statista.com/statistics/539547/sweden-pupils-in-preschool-class-with-other-mother-tongue-than-swedish/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Sweden
    Description

    The number of pupils with a foreign mother tongue in preschools in Sweden increased by 10,000 from the school year 2012/13 to 2016/17. Since then, the number has been more stable, lying just above 30,000. In the school years 2022/23, there were just above 30,000 children with a foreign mother tongue in Swedish preschools.

    The year before starting compulsory school, children in Sweden are offered a voluntary one year preschool class. The class combines the pedagogical methods of the preschool with those of compulsory school. Usually children start a preschool class at the age of six.

  9. Parish statistics 1952-1990

    • researchdata.se
    Updated Apr 24, 2025
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    Statistics Sweden (2025). Parish statistics 1952-1990 [Dataset]. http://doi.org/10.5878/hbxb-sh51
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    (804115), (1081013), (803507), (120413), (84771), (2147328), (136492), (816035), (1096339), (120417), (1086286), (801715), (120378), (120359), (120401), (1105413), (1091185), (187148), (812091), (1102826), (120392), (102752), (185977), (810675), (177152)Available download formats
    Dataset updated
    Apr 24, 2025
    Dataset authored and provided by
    Statistics Swedenhttp://www.scb.se/
    Time period covered
    Dec 31, 1952
    Area covered
    Sweden
    Description

    The 1952 dataset contains information about county, municipality, parish and total population. The datasets for 1960, 1970, 1975, 1980, 1987 and 1990 contain information about county, municipality, parish, total population divided by sex, as well as population by year classes and sex as of December each year with the regional division that applied on 1 January 1991. The parish coordinates of the data sets contain the parish code and name as well as km coordinates and x/y coordinates.

  10. g

    ISSP 2004 - Citizenship I: Sweden

    • gimi9.com
    • researchdata.se
    Updated Sep 16, 2005
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    (2005). ISSP 2004 - Citizenship I: Sweden [Dataset]. https://gimi9.com/dataset/eu_https-doi-org-10-5878-001613/
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    Dataset updated
    Sep 16, 2005
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Sweden
    Description

    This survey is the Swedish part of the 2004 'International Social Survey Program' (ISSP), and it is the first ISSP-survey focusing on citizenship. There are different opinions as to what it takes to be a good citizen and the respondents were asked to indicate on a scale 1 to 7 how important different behaviours are to make a good citizen. Respondents were also asked if different groups in society, such as religious extremists, people who want to overthrow the government by force, or people prejudiced against any racial or ethnic group, should be allowed to hold public meetings. Other questions dealt with different forms of political action that people can take. Respondents had to indicate whether they had signed a petition; boycotted or deliberately bought certain products; demonstrated; attended a political meeting; contacted a politician or civil servant to express a certain view; or joined an Internet political forum, in the past year or in a more distant past. If the respondent never had done an activity, they were asked if they might do it or would never under any circumstances do it. Respondents also had to indicate if they belonged and actively participated in different kinds of groups and associations. On a scale 1 to 7 respondents had to give their opinion on people´s rights in a democracy. Demographic variables include age, sex, education, marital status, personal and family income, employment status, household size and composition, occupation, religion, social class, union membership, political orientation, and demographics of community. Purpose: ISSP aims to design and implement internationally comparable attitude surveys. The study in 2004 investigating Social Citizenship.

  11. p

    Trends in Total Classroom Teachers (1996-2023): New Sweden Consolidated...

    • publicschoolreview.com
    Updated Sep 14, 2018
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    Public School Review (2018). Trends in Total Classroom Teachers (1996-2023): New Sweden Consolidated School [Dataset]. https://www.publicschoolreview.com/new-sweden-consolidated-school-profile
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    Dataset updated
    Sep 14, 2018
    Dataset authored and provided by
    Public School Review
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset tracks annual total classroom teachers amount from 1996 to 2023 for New Sweden Consolidated School

  12. p

    New Sweden Consolidated School

    • publicschoolreview.com
    json, xml
    Updated Sep 14, 2018
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    Public School Review (2018). New Sweden Consolidated School [Dataset]. https://www.publicschoolreview.com/new-sweden-consolidated-school-profile
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    xml, jsonAvailable download formats
    Dataset updated
    Sep 14, 2018
    Dataset authored and provided by
    Public School Review
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1996 - Dec 31, 2025
    Description

    Historical Dataset of New Sweden Consolidated School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1996-2023),Total Classroom Teachers Trends Over Years (1996-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (1996-2023),American Indian Student Percentage Comparison Over Years (1996-2016),Asian Student Percentage Comparison Over Years (1999-2013),Hispanic Student Percentage Comparison Over Years (2012-2023),Black Student Percentage Comparison Over Years (2003-2014),White Student Percentage Comparison Over Years (1996-2023),Two or More Races Student Percentage Comparison Over Years (2011-2023),Diversity Score Comparison Over Years (1998-2023),Free Lunch Eligibility Comparison Over Years (1996-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2002-2023),Reading and Language Arts Proficiency Comparison Over Years (2010-2017),Math Proficiency Comparison Over Years (2010-2017),Overall School Rank Trends Over Years (2010-2017)

  13. S

    Sweden Non Life Insurnace: Premium: Other Classes

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Sweden Non Life Insurnace: Premium: Other Classes [Dataset]. https://www.ceicdata.com/en/sweden/non-life-insurance-premium/non-life-insurnace-premium-other-classes
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2015 - Mar 1, 2018
    Area covered
    Sweden
    Variables measured
    Insurance Market
    Description

    Sweden Non Life Insurnace: Premium: Other Classes data was reported at 2,601.051 SEK mn in Jun 2018. This records an increase from the previous number of 2,073.593 SEK mn for Mar 2018. Sweden Non Life Insurnace: Premium: Other Classes data is updated quarterly, averaging 20.337 SEK mn from Dec 1996 (Median) to Jun 2018, with 74 observations. The data reached an all-time high of 3,167.206 SEK mn in Dec 2017 and a record low of 0.000 SEK mn in Jun 2007. Sweden Non Life Insurnace: Premium: Other Classes data remains active status in CEIC and is reported by Statistics Sweden. The data is categorized under Global Database’s Sweden – Table SE.RG005: Non Life Insurance: Premium.

  14. F

    Swedish Call Center Data for Retail & E-Commerce AI

    • futurebeeai.com
    wav
    Updated Aug 1, 2022
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    FutureBee AI (2022). Swedish Call Center Data for Retail & E-Commerce AI [Dataset]. https://www.futurebeeai.com/dataset/speech-dataset/retail-call-center-conversation-swedish-sweden
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    wavAvailable download formats
    Dataset updated
    Aug 1, 2022
    Dataset provided by
    FutureBeeAI
    Authors
    FutureBee AI
    License

    https://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement

    Dataset funded by
    FutureBeeAI
    Description

    Introduction

    This Swedish Call Center Speech Dataset for the Retail and E-commerce industry is purpose-built to accelerate the development of speech recognition, spoken language understanding, and conversational AI systems tailored for Swedish speakers. Featuring over 30 hours of real-world, unscripted audio, it provides authentic human-to-human customer service conversations vital for training robust ASR models.

    Curated by FutureBeeAI, this dataset empowers voice AI developers, data scientists, and language model researchers to build high-accuracy, production-ready models across retail-focused use cases.

    Speech Data

    The dataset contains 30 hours of dual-channel call center recordings between native Swedish speakers. Captured in realistic scenarios, these conversations span diverse retail topics from product inquiries to order cancellations, providing a wide context range for model training and testing.

    Participant Diversity:
    Speakers: 60 native Swedish speakers from our verified contributor pool.
    Regions: Representing multiple provinces across Sweden to ensure coverage of various accents and dialects.
    Participant Profile: Balanced gender mix (60% male, 40% female) with age distribution from 18 to 70 years.
    Recording Details:
    Conversation Nature: Naturally flowing, unscripted interactions between agents and customers.
    Call Duration: Ranges from 5 to 15 minutes.
    Audio Format: Stereo WAV files, 16-bit depth, at 8kHz and 16kHz sample rates.
    Recording Environment: Captured in clean conditions with no echo or background noise.

    Topic Diversity

    This speech corpus includes both inbound and outbound calls with varied conversational outcomes like positive, negative, and neutral, ensuring real-world scenario coverage.

    Inbound Calls:
    Product Inquiries
    Order Cancellations
    Refund & Exchange Requests
    Subscription Queries, and more
    Outbound Calls:
    Order Confirmations
    Upselling & Promotions
    Account Updates
    Loyalty Program Offers
    Customer Verifications, and others

    Such variety enhances your model’s ability to generalize across retail-specific voice interactions.

    Transcription

    All audio files are accompanied by manually curated, time-coded verbatim transcriptions in JSON format.

    Transcription Includes:
    Speaker-Segmented Dialogues
    30 hours-coded Segments
    Non-speech Tags (e.g., pauses, cough)
    High transcription accuracy with word error rate < 5% due to double-layered quality checks.

    These transcriptions are production-ready, making model training faster and more accurate.

    Metadata

    Rich metadata is available for each participant and conversation:

    Participant Metadata: ID, age, gender, accent, dialect, and location.
    Conversation Metadata: Topic, sentiment, call type, sample rate, and technical specs.

    This granularity supports advanced analytics, dialect filtering, and fine-tuned model evaluation.

    Usage and Applications

    This dataset is ideal for a range of voice AI and NLP applications:

    Automatic Speech Recognition (ASR): Fine-tune Swedish speech-to-text systems.
    <span

  15. g

    ISSP 1995 - National identity I: Sweden

    • gimi9.com
    • researchdata.se
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    ISSP 1995 - National identity I: Sweden [Dataset]. https://gimi9.com/dataset/eu_https-doi-org-10-5878-001598/
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    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Sweden
    Description

    This survey is the Swedish part of the 1995 'International Social Survey Program' (ISSP), and it focuses on national identity. Respondents were asked to comment on various topics regarding national identity, such as how 'close' they felt to Sweden, national pride, Sweden's relations with other countries, and treatment of immigrants and minority groups. Those queried were asked to describe the pride they felt towards Sweden's accomplishments in the following areas: political influence, economics, social security, science and technology, sports, the arts, armed forces, history, and treatment of others. A series of questions probed for respondents' views regarding international relations, including foreign trade restrictions, international problem-solving attempts, foreign language education, the purchase of land by foreigners, the nationality of television programs and movies, and the benefits of membership in regional international organizations. Respondents were also asked to assess their countries´ treatment of minority groups and immigrants. Topics covered the preservation of minority traditions, the impact of immigrant groups on crime, the economy, the job market, cultural openness, special provisions for political refugees, and the citizenship process. Demographic variables include age, sex, education, marital status, personal and family income, employment status, household size and composition, occupation, religion, social class, union membership, political party, political orientation, race, ethnicity, language fluency, demographics of community, and citizenship. Purpose: ISSP aims to design and implement internationally comparable attitude surveys. The study in 1995 investigating National identity: Sweden.

  16. Share of part-time employees of labor force in Sweden 2016, by class and...

    • statista.com
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    Statista, Share of part-time employees of labor force in Sweden 2016, by class and gender [Dataset]. https://www.statista.com/statistics/740185/share-of-part-time-employees-of-labor-force-in-sweden-by-class-and-gender/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2016
    Area covered
    Sweden
    Description

    This statistic shows the share of part-time employees of labor force in Sweden in 2016, by class and gender. As of 2016, ** percent of the female workers and ** percent of the male workers in Sweden were part-time employees while.

  17. S

    Sweden Non Life Insurnace: Claims Paid: Other Classes

    • ceicdata.com
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    CEICdata.com, Sweden Non Life Insurnace: Claims Paid: Other Classes [Dataset]. https://www.ceicdata.com/en/sweden/non-life-insurance-claims-paid/non-life-insurnace-claims-paid-other-classes
    Explore at:
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2015 - Mar 1, 2018
    Area covered
    Sweden
    Variables measured
    Insurance Market
    Description

    Sweden Non Life Insurnace: Claims Paid: Other Classes data was reported at 349.355 SEK mn in Mar 2018. This records a decrease from the previous number of 1,493.124 SEK mn for Dec 2017. Sweden Non Life Insurnace: Claims Paid: Other Classes data is updated quarterly, averaging 9.000 SEK mn from Dec 1996 (Median) to Mar 2018, with 73 observations. The data reached an all-time high of 1,493.124 SEK mn in Dec 2017 and a record low of 0.000 SEK mn in Mar 2008. Sweden Non Life Insurnace: Claims Paid: Other Classes data remains active status in CEIC and is reported by Statistics Sweden. The data is categorized under Global Database’s Sweden – Table SE.RG006: Non Life Insurance: Claims Paid.

  18. F

    Swedish Scripted Monologue Speech Data for Healthcare

    • futurebeeai.com
    wav
    Updated Aug 1, 2022
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    FutureBee AI (2022). Swedish Scripted Monologue Speech Data for Healthcare [Dataset]. https://www.futurebeeai.com/dataset/monologue-speech-dataset/healthcare-scripted-speech-monologues-swedish-sweden
    Explore at:
    wavAvailable download formats
    Dataset updated
    Aug 1, 2022
    Dataset provided by
    FutureBeeAI
    Authors
    FutureBee AI
    License

    https://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement

    Area covered
    Sweden
    Dataset funded by
    FutureBeeAI
    Description

    Introduction

    Introducing the Swedish Scripted Monologue Speech Dataset for the Healthcare Domain, a voice dataset built to accelerate the development and deployment of Swedish language automatic speech recognition (ASR) systems, with a sharp focus on real-world healthcare interactions.

    Speech Data

    This dataset includes over 6,000 high-quality scripted audio prompts recorded in Swedish, representing typical voice interactions found in the healthcare industry. The data is tailored for use in voice technology systems that power virtual assistants, patient-facing AI tools, and intelligent customer service platforms.

    Participant Diversity
    Speakers: 60 native Swedish speakers.
    Regional Balance: Participants are sourced from multiple regions across Sweden, reflecting diverse dialects and linguistic traits.
    Demographics: Includes a mix of male and female participants (60:40 ratio), aged between 18 and 70 years.
    Recording Specifications
    Nature of Recordings: Scripted monologues based on healthcare-related use cases.
    Duration: Each clip ranges between 5 to 30 seconds, offering short, context-rich speech samples.
    Audio Format: WAV files recorded in mono, with 16-bit depth and sample rates of 8 kHz and 16 kHz.
    Environment: Clean and echo-free spaces ensure clear and noise-free audio capture.

    Topic Coverage

    The prompts span a broad range of healthcare-specific interactions, such as:

    Patient check-in and follow-up communication
    Appointment booking and cancellation dialogues
    Insurance and regulatory support queries
    Medication, test results, and consultation discussions
    General health tips and wellness advice
    Emergency and urgent care communication
    Technical support for patient portals and apps
    Domain-specific scripted statements and FAQs

    Contextual Depth

    To maximize authenticity, the prompts integrate linguistic elements and healthcare-specific terms such as:

    Names: Gender- and region-appropriate Sweden names
    Addresses: Varied local address formats spoken naturally
    Dates & Times: References to appointment dates, times, follow-ups, and schedules
    Medical Terminology: Common medical procedures, symptoms, and treatment references
    Numbers & Measurements: Health data like dosages, vitals, and test result values
    Healthcare Institutions: Names of clinics, hospitals, and diagnostic centers

    These elements make the dataset exceptionally suited for training AI systems to understand and respond to natural healthcare-related speech patterns.

    Transcription

    Every audio recording is accompanied by a verbatim, manually verified transcription.

    Content: The transcription mirrors the exact scripted prompt recorded by the speaker.
    Format: Files are delivered in plain text (.TXT) format with consistent naming conventions for seamless integration.
    <b style="font-weight:

  19. F

    Swedish Call Center Data for Travel AI

    • futurebeeai.com
    wav
    Updated Aug 1, 2022
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    FutureBee AI (2022). Swedish Call Center Data for Travel AI [Dataset]. https://www.futurebeeai.com/dataset/speech-dataset/travel-call-center-conversation-swedish-sweden
    Explore at:
    wavAvailable download formats
    Dataset updated
    Aug 1, 2022
    Dataset provided by
    FutureBeeAI
    Authors
    FutureBee AI
    License

    https://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement

    Area covered
    Sweden
    Dataset funded by
    FutureBeeAI
    Description

    Introduction

    This Swedish Call Center Speech Dataset for the Travel industry is purpose-built to power the next generation of voice AI applications for travel booking, customer support, and itinerary assistance. With over 30 hours of unscripted, real-world conversations, the dataset enables the development of highly accurate speech recognition and natural language understanding models tailored for Swedish -speaking travelers.

    Created by FutureBeeAI, this dataset supports researchers, data scientists, and conversational AI teams in building voice technologies for airlines, travel portals, and hospitality platforms.

    Speech Data

    The dataset includes 30 hours of dual-channel audio recordings between native Swedish speakers engaged in real travel-related customer service conversations. These audio files reflect a wide variety of topics, accents, and scenarios found across the travel and tourism industry.

    Participant Diversity:
    Speakers: 60 native Swedish contributors from our verified pool.
    Regions: Covering multiple Sweden provinces to capture accent and dialectal variation.
    Participant Profile: Balanced representation of age (18–70) and gender (60% male, 40% female).
    Recording Details:
    Conversation Nature: Naturally flowing, spontaneous customer-agent calls.
    Call Duration: Between 5 and 15 minutes per session.
    Audio Format: Stereo WAV, 16-bit depth, at 8kHz and 16kHz.
    Recording Environment: Captured in controlled, noise-free, echo-free settings.

    Topic Diversity

    Inbound and outbound conversations span a wide range of real-world travel support situations with varied outcomes (positive, neutral, negative).

    Inbound Calls:
    Booking Assistance
    Destination Information
    Flight Delays or Cancellations
    Support for Disabled Passengers
    Health and Safety Travel Inquiries
    Lost or Delayed Luggage, and more
    Outbound Calls:
    Promotional Travel Offers
    Customer Feedback Surveys
    Booking Confirmations
    Flight Rescheduling Alerts
    Visa Expiry Notifications, and others

    These scenarios help models understand and respond to diverse traveler needs in real-time.

    Transcription

    Each call is accompanied by manually curated, high-accuracy transcriptions in JSON format.

    Transcription Includes:
    Speaker-Segmented Dialogues
    Time-Stamped Segments
    Non-speech Markers (e.g., pauses, coughs)
    High transcription accuracy by dual-layered transcription review ensures word error rate under 5%.

    Metadata

    Extensive metadata enriches each call and speaker for better filtering and AI training:

    Participant Metadata: ID, age, gender, region, accent, and dialect.
    Conversation Metadata: Topic, domain, call type, sentiment, and audio specs.

    Usage and Applications

    This dataset is ideal for a variety of AI use cases in the travel and tourism space:

    ASR Systems: Train Swedish speech-to-text engines for travel platforms.
    <div style="margin-top:10px; margin-bottom: 10px; padding-left: 30px; display: flex;

  20. F

    Swedish Wake Words & Voice Commands Speech Data

    • futurebeeai.com
    wav
    Updated Aug 1, 2022
    + more versions
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    FutureBee AI (2022). Swedish Wake Words & Voice Commands Speech Data [Dataset]. https://www.futurebeeai.com/dataset/wake-words-and-commands-dataset/wake-words-and-commands-swedish-sweden
    Explore at:
    wavAvailable download formats
    Dataset updated
    Aug 1, 2022
    Dataset provided by
    FutureBeeAI
    Authors
    FutureBee AI
    License

    https://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement

    Area covered
    Sweden
    Dataset funded by
    FutureBeeAI
    Description

    Introduction

    The Swedish Wake Word & Voice Command Dataset is expertly curated to support the training and development of voice-activated systems. This dataset includes a large collection of wake words and command phrases, essential for enabling seamless user interaction with voice assistants and other speech-enabled technologies. It’s designed to ensure accurate wake word detection and voice command recognition, enhancing overall system performance and user experience.

    Speech Data

    This dataset includes 20,000+ audio recordings of wake words and command phrases. Each participant contributed 400 recordings, captured under varied environmental conditions and speaking speeds. The data covers:

    Wake words alone
    Wake words followed by command phrases

    Participant Diversity

    Speakers: 50 native Swedish speakers from the FutureBeeAI community
    Regions: Participants from various Sweden provinces, ensuring broad coverage of accents and dialects
    Demographics: Ages 18–70; 60% male and 40% female participants

    Recording Details

    Type: Scripted wake words and command phrases
    Duration: 1 to 15 seconds per clip
    Format: WAV, stereo, 16-bit, with sample rates ranging from 16 kHz to 48 kHz

    Dataset Diversity

    Wake Word Types
    Automobile Wake Words: Hey Mercedes, Hey BMW, Hey Porsche, Hey Volvo, Hey Audi, Hi Genesis, Ok Ford, etc.
    Voice Assistant Wake Words: Hey Siri, Ok Google, Alexa, Hey Cortana, Hi Bixby, Hey Celia, etc.
    Home Appliance Wake Words: Hi LG, Ok LG, Hello Lloyd, and more
    Command Types by Use Case
    Automobile: Play music, check directions, voice search, provide feedback, and more
    Voice Assistant: Ask general questions, make calls, control devices, shopping, manage calendars, and more
    Home Appliances: Control appliances, check status, set reminders/alarms, manage shopping lists, etc.
    Recording Environments
    No background noise
    Background traffic noise
    People talking in the background
    Speaking Pace
    Normal speed
    Fast speed

    This diversity ensures robust training for real-world voice assistant applications.

    Metadata

    Each audio file is accompanied by detailed metadata to support advanced filtering and training needs.

    Participant Metadata: Unique ID, age, gender, region, accent, dialect
    Recording Metadata: Transcript, environment, pace, device used, sample rate, bit depth, file format

    Use Cases & Applications

    Voice Assistant Activation: Train models to accurately detect and trigger based on wake words
    Smart Home Devices: Enable responsive voice control in smart appliances
    <b style="font-weight:

Share
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Statista (2025). Consumers that are middle and upper class in Nordic countries 2024 [Dataset]. https://www.statista.com/statistics/1484588/nordics-consumers-middle-upper-class-above-number/
Organization logo

Consumers that are middle and upper class in Nordic countries 2024

Explore at:
Dataset updated
Aug 28, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2024
Area covered
Sweden
Description

In Sweden, ************* people counts as upper class or above, earning at least the equivalent of the highest ** percent of global income earners as of 2022 in purchasing power parity (PPP) terms. Meanwhile, the share was highest in Norway, and lowest in Finland. The countries are among the ones with the highest gross domestic product (GDP) per capita worldwide.

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