Population, economic growth, value added, sectoral structure and employment. Here you can find the most important macroeconomic figures and charts for the business location Basel.
Employment and unemployment
|Employed persons||180'944||191'399||193'697||1.0 %|
|Unemployment rate||4.2 %||3.9 %||3.8 %||...|
|Cross-border commuters||31'279||35'675||35'857||0.5 %|
|Cross-border commuters ratio DE||46.2 %||47.8 %||47.7 %||...|
|Cross-border commuters ratio FR||53.4 %||51.3 %||51.3 %||...|
Source: BAK Economics (employed persons), Statistical Office of Basel-Stadt (unemployment rate) and Federal Statistical Office (BFS) (cross-border commuters).
Sectoral structure : Employed persons
Skilled labour shortage
Explanation: The Basel region includes the cantons of Basel-Stadt, Basel-Landschaft and Solothurn. Occupations are defined according to the International Standard Classification of Occupations (ISCO-08) of the International Labour Organization (ILO) and are considered at the minor group level (ISCO-08 three digits, hereinafter referred to as “occupations”). Occupational titles are abbreviations; the respective ISCO-08 code is in parentheses. Because of the layout and for better readability, the chart does not mention female occupational titles. Gender neutral and male titles are used. The female form is included explicitly.
The indicator of the lack of skilled labour quantifies the intensity of the lack of skilled labour for various occupations, thus enabling an assessment of the occupations in which the lack of skilled labour is particularly intense. The indicator is based on four variables: “recruitment difficulties”, “relationship between job vacancy and job seekers”, “duration of job posting” and “duration of job search”. The chart above shows the intensity of the lack of skilled labour in 2017 for the 15 occupations with the most and least intensive lack of skilled labour in the Basel region. A relatively intense lack of skilled labour can be recognised in occupations that belong to the so-called MINT area (mathematics, computer science, natural science and technology) or to the healthcare professions. Compared to other occupations, the lack of medical doctors was the highest. This does not mean, however, that the absolute number of lacking medical doctors was the highest; statements on the absolute extent of the lack cannot be made with the indicator.
Explanation: The explanations mentioned above apply analogously. The range of the unemployment rate (according to SECO) was calculated on the basis of projections of the number of employed persons between 2012 and 2016 and the number of registered unemployed persons. Occupations with a coefficient of variation (figure for the accuracy of an estimate) above 10% are not shown.
When looking at the unemployment rate by occupations, there seems to be no mismatch in the occupations with the most intensive lack of skilled labour in the Basel region labour market. Thus in 2017, the regional unemployment rate was below average in most of these occupations. Only for electricians (741) the unemployment rate was slightly above the average of 3.1%. In the occupations least lacking skilled labour, however, the unemployment rate was above average in many cases.
|Households||98'204||98'469||0.3 % (Δ 16-17)|
|Percentage of foreigners||32.8 %||35.3 %||35.7 %||36.0 %||...|
|Youth quotient||25.8 %||25.8 %||26.0 %||26.3 %||...|
|Ageing quotient||31.8 %||30.9 %||30.6 %||30.6 %||...|
|Migration balance (foreign countries)||3'405||3'094||6.2 % (Δ 16-17)|
Explanations: The youth quotient results from the quantitative ratio between 0 to 19-year-old people and 20 to 64-year-old people.
The ageing quotient results from the quantitative ratio between people over 64 years and people aged 20 to 64 years.
Source: Statistical Office of the Canton of Basel-Stadt