Labour Force Survey 2023, 4th Quarter
收藏CESSDA2025-04-28 更新2025-05-03 收录
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https://datacatalogue.cessda.eu/detail?lang=en&q=268374c339819b557d8e3a62ff3f945ffe4609798d9d0425dee6566e3f2f0b8e
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资源简介:
Statistics Norway established the Labor Force Survey (LFS) in 1972, and it has been conducted quarterly ever since. The LFS measures the population's participation in the labor market and provides comprehensive information on unemployment, employment, people outside the labor force, temporary employees, underemployed and other subgroups that are not captured by register-based statistics. This makes the LFS one of the most important sources of information about conditions in the Norwegian labor market.
Right from the start, the aim has been to ensure that the survey is comparable with similar surveys internationally. Today, the LFS is designed in accordance with the EU's statistical regulations to ensure consistent and comparable European statistics. The LFS data contains long time series, and although there have been some breaks in the time series due to changes in the questionnaire and data collection, the most central variables have been continuously included since the start. This makes it possible to present time series data for the employed, unemployed and people outside the labor force all the way back to 1972.
The dataset consists of a single quarter, along with a quarterly weight. The dataset should be used for a quarterly average rather than an annual distribution. If an annual average is desired, separate datasets are available.
挪威统计署(Statistics Norway)于1972年设立劳动力调查(Labor Force Survey, LFS),自此每季度开展一次调查。该调查旨在统计人口的劳动力市场参与情况,并提供关于失业、就业、非劳动力群体、临时雇员、未充分就业群体及其他登记统计未覆盖的细分群体的全面信息,使其成为挪威劳动力市场状况最重要的信息来源之一。
自创立之初,该调查的目标便是确保其可与国际同类调查具备可比性。如今,劳动力调查已依照欧盟统计法规进行设计,以保障欧洲统计数据的一致性与可比性。该数据集包含长期时间序列,尽管因问卷调整与数据采集方式变更,时间序列曾出现若干断点,但核心变量自启动以来始终被纳入统计范畴。借此,可追溯至1972年,发布就业、失业及非劳动力群体的时间序列数据。
本数据集仅包含单个季度数据与季度权重,适用于季度均值分析,而非年度分布统计。若需获取年度均值数据,可使用单独的配套数据集。
提供机构:
Sikt - Norwegian Agency for Shared Services in Education and Research
创建时间:
2025-04-28



