Society — Lithuania

Nights spent at hotels and similar accommodation (NACE Rev.2 activity I55.1) by size class in Lithuania

Nights spent at hotels and similar accommodation (NACE Rev.2 activity I55.1) by size class in Lithuania: latest value 5.11 as of 2024.

Nights spent at hotels and similar accommodation (NACE Rev.2 activity I55.1) by size class in Lithuania — official series from Eurostat. The chart shows dynamics over the available observation period; values are shown in изменение к предыдущему периоду.

Observation period: 2013–2024, published annually. Source — Eurostat.

Frequency

Annual.

Latest values

This indicator in other countries

• Nights spent at hotels and similar accommodation (NACE Rev.2 activity I55.1) by size class — Austria
• Nights spent at hotels and similar accommodation (NACE Rev.2 activity I55.1) by size class — Belgium
• Nights spent at hotels and similar accommodation (NACE Rev.2 activity I55.1) by size class — Bulgaria
• Nights spent at hotels and similar accommodation (NACE Rev.2 activity I55.1) by size class — Croatia
• Nights spent at hotels and similar accommodation (NACE Rev.2 activity I55.1) by size class — Cyprus
• Nights spent at hotels and similar accommodation (NACE Rev.2 activity I55.1) by size class — Czechia
• Nights spent at hotels and similar accommodation (NACE Rev.2 activity I55.1) by size class — Denmark
• Nights spent at hotels and similar accommodation (NACE Rev.2 activity I55.1) by size class — Estonia
• Nights spent at hotels and similar accommodation (NACE Rev.2 activity I55.1) by size class — Finland
• Nights spent at hotels and similar accommodation (NACE Rev.2 activity I55.1) by size class — France
• Nights spent at hotels and similar accommodation (NACE Rev.2 activity I55.1) by size class — Germany
• Nights spent at hotels and similar accommodation (NACE Rev.2 activity I55.1) by size class — Greece

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• Graduates in tertiary education by age groups - per 1000 of population aged 20-29
• Graduates in tertiary education, in science, math., computing, engineering, manufacturing, construction, by sex - per 1000 of population aged 20-29
• Graduates at doctoral level by sex and age groups - per 1000 of population aged 25-34
• Graduates at doctoral level, in science, math., computing, engineering, manufacturing, construction, by sex - per 1000 of population aged 25-34
• Graduates at doctoral level, in science, math., computing, engineering, manufacturing, construction, by sex - per 1000 of population aged 25-34
• Graduates at doctoral level, in science, math., computing, engineering, manufacturing, construction, by sex - per 1000 of population aged 25-34
• Gender employment gap, by type of employment
• Government support to agricultural research and development

Data source

Eurostat. Units: изменение к предыдущему периоду. Observation period: 2013–2024.

Data for 2024

Open the series on the Евростат website

Russia

Russian macro indicators — on the home page and in comparison.