Statistical Insights involve the application of statistical methods and techniques to analyse data generated from pilot projects. These still represent official statistical data but which are undergoing testing and therefore are not yet in their finalised form. Users should note that these statistics may carry a higher level of uncertainty and should be treated with caution.
Tourism Intensity

Tourism intensity is a key indicator that measures the presence of tourists relative to the resident population. It combines two figures: the number of nights spent by tourists and the local population. To compare the inbound tourist population to the local population, it is essential to consider the daily average presence of tourists and residents within a specific time-period and area.
Date: 14/04/2025
Theme: It-Turiżmu
Paid Care Work in Malta

The information in this release is based on the Labour Force Survey (LFS), which is an enquiry among households which is used to monitor labour market trends across the European Union. The LFS is conducted according to Regulation (EU) 2019/1700, which sets rules for collecting and analyzing data about individuals and households in a standardized way. It also follows Regulation (EU) 2020/257, which specifies the details about variables related to the labour force.
Date: 06/02/2025
Theme: Is-Suq tax-Xogħol
Digital Platform Employment: 2022

The data provided in this news release is extracted from the Labour Force Survey (LFS) pilot data collection carried out during 2022 and partly financed through EU grants. The LFS is a household-based survey and is used as a monitoring tool across the European Union for assessing progress made in various spheres of labour market and social statistics.
Date: 06/02/2024
Theme: Is-Suq tax-Xogħol
Skills mismatch indicators

Skills mismatch refers to gaps and imbalances in skills available in the labour market. These include over- or under-qualification, labour market shortages or surpluses for specific qualifications or skills, hiring difficulties, and underemployment or unemployment for specific qualifications or skills. Different groups within the labour force may be affected, and different sectors or occupations may encounter more problems than others (Kriechel & Vetter, 2019).