|
Number of journeys pre-COVID
|
1, 2
|
Number of journeys logged by each individual card
|
|
Number of active days pre-COVID
|
1, 2
|
Number of days when the individual card have been used
|
|
30 Days Travel Card
|
1, 2
|
Share of journeys made during pre-COVID using this ticket type
|
|
90 Days Travel Card
|
1, 2
|
“
|
|
Single journey ticket
|
1, 2
|
“
|
|
Yearly Travel Card
|
1, 2
|
“
|
|
Visitor Travel Card
|
1, 2
|
“
|
|
Youth Travel Card
|
1, 2
|
“
|
|
Share - Owned housing
|
1
|
Share of population in the individual cards home area living in this housing type
|
|
Share - Cooperative apartment
|
1
|
“
|
|
Share - Rented housing
|
1
|
“
|
|
Share - University educated
|
1
|
Share of population in the individual cards home area with this education level
|
|
Share - Upper secondary school
|
1
|
“
|
|
Share - Less than Upper secondary school
|
1
|
“
|
|
Share - Income above median
|
1
|
Share of population in the individual cards home area with income above the county median
|
|
Share - Income below median
|
1
|
Share of population in the individual cards home area with income below the county median
|
|
Share - Born in Sweden
|
1
|
Share of population in the individual cards home area that are born in Sweden
|
|
Share - 20-29 years old
|
1
|
Share of population in the individual cards home area within this age bracket
|
|
Share - 30-39 years old
|
1
|
“
|
|
Share - 40-64 years old
|
1
|
“
|
|
Share - > 64 years old
|
1
|
“
|
|
Share - Non-employed
|
1
|
Share of population in the individual cards home area that are unemployed
|
|
Share - Female
|
1
|
Share of population in the individual cards home area identified as women
|
|
Cluster 5
|
2
|
Categorical variable defining the individual cards home area
|
|
Cluster 4
|
2
|
“
|
|
Cluster 3
|
2
|
“
|
|
Cluster 2
|
2
|
“
|
|
Cluster 1
|
2
|
“
|
|
Sparsely populated
|
1
|
Categorical variable defining the individual cards home areas population density
|
|
Semi densely populated
|
1
|
“
|
|
Densely populated
|
1
|
“
|
