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Table 1 Description of socioeconomic data (further details are available at ([31], in Swedish))

From: Who continued travelling by public transport during COVID-19? Socioeconomic factors explaining travel behaviour in Stockholm 2020 based on smart card data

Name Possible values (share of the total population for the county) Comment
Housing type Cooperative apartment (35%)
Owned housing (31%)
Rented housing (31%)
Cooperative apartments are a common way of owning your apartment in Sweden. Formally, however, the household purchases a share of a property.
The dataset does not contain any information on 3% of the population.
Education Less than Upper secondary school educated (10%)
Upper secondary school educated (35%)
University educated (52%)
The dataset does not contain any information on 3% of the population.
The original dataset categorises the university education into two steps, while we have merged them.
Income Income below median (50%)
Income above median (50%)
Share of the area population (age 20 and above) who have an income below or above Stockholm Region median income.
Population density Sparsely populated
Semi densely populated
Densely populated
Classification by Statistics Sweden.
Age < 20 years old (24%)
20–29 years old (13%)
30–39 years old (15%)
40–64 years old (31%)
>  65 years old (16%)
The original dataset divides the age groups into ~ 5-year classes (i.e. 20–24, 25–29). For simplification purposes we merged them into five classes
Country of birth Born in Sweden (66%)
Abroad (34%)
Note that the Abroad groups is quite diverse, with both people who have immigrated as refugees as well as e.g. labour migration.
Employment Employed (80%)
Non-employed (20%)
Note that this variable does not indicate only unemployment, but ‘non-employed’ includes e.g. students and retirees. The variable only describes the population of 20–64 year olds (most people retire at 65).
Gender Male (50%)
Female (50%)