Норвегия

  • Население, человек:5 603 541 (2025)
  • Площадь, кв км:364 270
  • ВВП на душу населения, долл. США:87 925 (2023)
  • ВВП, млрд. долл. США:485,3 (2023)
  • Индекс Джини:27,7 (2019)
  • Рейтинг Ease of Doing Business:9

Все наборы данных: G T
  • G
    • Апрель 2025
      Источник: Global Entrepreneurship Monitor
      Загружен: Knoema
      Дата обращения к источнику: 10 апреля, 2025
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      The GEM Adult Population Survey (APS) measures the level and nature of entrepreneurial activity around the world. It is administered to a representative national sample of at least 2000 respondents. The Global Entrepreneurship Monitor is the world's foremost study of entrepreneurship. Through a vast, centrally coordinated, internationally executed data collection effort, GEM is able to provide high quality information, comprehensive reports and interesting stories, to enhance the understanding of the entrepreneurial phenomenon.
    • Март 2024
      Источник: Global Entrepreneurship Monitor
      Загружен: Jonathan Kilach
      Дата обращения к источнику: 11 марта, 2024
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      Data cited at:  GEM National Expert Survey The GEM National Expert Survey (NES) monitors the factors that are believed to have a significant impact on entrepreneurship, known as the Entrepreneurial Framework Conditions (EFCs). It is administered to a minimum of 36 carefully chosen 'experts' in each country. The Global Entrepreneurship Monitor is the world's foremost study of entrepreneurship. Through a vast, centrally coordinated, internationally executed data collection effort, GEM is able to provide high quality information, comprehensive reports and interesting stories, to enhance the understanding of the entrepreneurial phenomenon.
  • T
    • Октябрь 2023
      Источник: Organisation for Economic Co-operation and Development
      Загружен: Knoema
      Дата обращения к источнику: 17 октября, 2023
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      Since new and young firms contribute critically to job creation, innovation and growth, observing recent trends of firm formation provides valuable information to policy makers. Seasonal adjustment: For the purpose of presentation of quarterly series, seasonal adjustment is applied using TramoSeats algorithm with 5 regressors: log/level, trading days, Easter, outlier detection, and automatic model identification). Series are log-transformed and decomposed into a trend component. Finally, index is calculated based on a 2007 (2007 = average of 2007 quarters) in order to present movements between the base year and a given quarter.