WELFARE TICKET ATLAS FOR GERMANY: README

                                                 
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This is an annex to the Welfare Ticket Atlas of 2025 that I produced on behalf of the German welfare organisation Paritätischer Wohlfahrtsverband. Please find the whole atlas here:

Sozialticket-Atlas für Deutschland -
Wo der Staat den Öffentlichen Nahverkehr für einkommensarme Menschen bezuschusst
DOI: 10.15480/882.13683

In German, including an English abstract

In this README I briefly introduce basic terms that are helpful to understand the subject of welfare tickets in Germany. Furthermore I summarise the structure of the two datasets.

CC BY-SA 4.0 ico

You are welcome to re-use, adapt and share the data according to the Attribution-ShareAlike 4.0 International license.

Christoph Aberle
Hamburg University of Technology
Institute for Transport Planning and Logistics
ORCID: 0000-0003-0982-4869
christoph.aberle@tuhh.de
The TUHH email will be offline soon. If you use the dataset, or have a question, please drop me a line at christoph [at] fluegelrad [dot] net. I’m always curious to see what others get out of my data!

Basic terms

Term Explanation Link
State One of 16 “Bundesländer” Wikipedia
District One of 400 “Kreise”, “Stadtkreise”, “Landkreise” or “Kreisfreie Städte” = NUTS-3 Regions Wikipedia
Municipality Town within a District (“Gemeinde”, “Stadt”, or “Kreisstadt”) Wikipedia
PT Authority “Verkehrsverbund” that organises public transport in one or more districts, mainly in terms of planning and ticketing, e.g. HVV or VBB / including smaller cooperatives of transport companies Wikipedia
Welfare ticket Ticket that is offered for welfare recipients (“Sozialticket”) Wikipedia (DE)
AGS / Amtlicher Gemeindeschlüssel Official Municipality Key Wikipedia

Dataset Description

I provide one geopackage file (sozt_atlas.gpkg including Dataset 1 and 2) and two .csv tables (Dataset 1 and 2, separately). The .gpkg and .csv contain the same data. If you want to import the data into your GIS quickly, use .gpkg. The other tables are mainly here for redundancy (and can quickly be imported for non-spatial analyses, note that the Dataset 2 .csv also contains geometries as WKT, which can be joined to Dataset 1 on the ags column).

Dataset 1: All tickets

This dataset contains all welfare tickets that I found during an extensive internet search in Winter 2024/2025. For details on my search methodology, see section 8 of the atlas (in German).

The dataset contains one row per ticket, i.e. there’s duplicates for the states, districts and municipalities. These can be grouped via the ags column.

Besides welfare tickets, the dataset contains many tickets for young people and for elderly. The welfare tickets are plausi-checked for false-negatives, the other ones are not. I.e., ‘out there’ may be tickets for young people and for the elderly that are not documented, especially in rows with search_iteration > 2.

Note that the municipalities do not contain duplicates for tickets in the surrounding district. E.g., the town of Bensheim (ags = 06431002) only contains the local monthly welfare ticket but does not list the Deutschlandticket that is discounted by “Hessenpass mobil”, which can be found in the row for the surrounding Bergstraße district (ags = 06431).

Column Data Type Explanation Link / Source
id SERIAL Serial ID, primary key
ags VARCHAR Official Municipality Key Wikipedia
exclude VARCHAR Reason why ticket was excluded from analysis (in German) / NULL = ticket was included
search_iteration INT The order of search iterations (1 = targeted search across the documents on PT associations’ and operators’ webpages, 2 = Qwant search for social fares, 3 = RIS search for districts where 1 and 2 did not deliver data, 4 = casual hits while plausi-checking)
gen VARCHAR Name of the municipality / district / state / PT association Section 8 of the atlas
bez VARCHAR Administrative unit
nuts3 VARCHAR NUTS3 code Wikipedia
note VARCHAR Note (in German)
name VARCHAR Name of the ticket
wft INT Welfare ticket (0 = no welfare ticket / 1 = welfare ticket for groups defined in the columns below / 2 = welfare ticket for refugees only (only two cases, not included in the analysis)
wfp BOOLEAN Welfare pass (T = municipality offers a welfare pass that entitles the holder for certain discounts e.g. at the library / F = no welfare pass)
wft_discussed INT Welfare ticket was discussed publicly (last documented year)
wft_rejected INT Welfare ticket was proposed to the local council and was rejected
validity VARCHAR Validity (e.g. area / fare zones; in German)
validity_int INT Validity (1* = locally or within the district, 2* = locally and at least one neighbouring district, 3* = within the whole network of the PT association or PT operator, 4 = nationwide) *Note that the boundaries are blurry among the stages 1-3, especially across different fare types
dticket BOOLEAN Ticket is a variation of “Deutschlandticket”
ft_subscription BOOLEAN Fare type = subscription
ft_month BOOLEAN Fare type = monthly pass
ft_week BOOLEAN Fare type = weekly pass
ft_cash BOOLEAN Fare type = cash (valid for max one day)
ft_ffpt BOOLEAN Fare type = fare-free PT for the entitled groups
eur_reg NUMERIC Regular price, EUR
eur NUMERIC Subsidised price, EUR
eur_subsidy NUMERIC Subsidy, EUR
subsidy_share NUMERIC Subsidy, share
rides NUMERIC Factor that estimates how many rides are taken on one ticket Section 8.3 of the atlas
eur_ride NUMERIC Price per ride, EUR (= eur / rides)
ent_sgb2 BOOLEAN Entitled group: welfare recipients according to Sozialgesetzbuch II (“Bürgergeld”)
ent_sgb8 BOOLEAN Entitled group: welfare recipients according to Sozialgesetzbuch VIII (“Kinder- und Jugendhilfe”)
ent_sgb12 BOOLEAN Entitled group: welfare recipients according to Sozialgesetzbuch XII (mostly “Grundsicherung im Alter”)
ent_bvg BOOLEAN Entitled group: welfare recipients according to Bundesversorgungsgesetz
ent_bkgg BOOLEAN Entitled group: extra child benefit recipients according to Bundeskindergeldgesetz (“Kinderzuschlag”, not the regular “Kindergeld”)
ent_wogg BOOLEAN Entitled group: housing benefit recipients according to Wohngeldgesetz
ent_asylblg BOOLEAN Entitled group: registered asylum seekers receiving benefits according to Asylbewerberleistungsgesetz
ent_others VARCHAR Entitled group: others / specification of the groups above (in German)
mainly_youth BOOLEAN Ticket is designed mainly for young people (the categories differ, but often it is pupils, students and/or persons younger than 27) - NB: This category differs from the ent_... categories insofar as it is exclusive to mainly_elderly. I.e. filtering returns tickets that are only designed for this target group and that can be filtered for other categories e.g. sozt (there is one exception: id = 325 in Ansbach represents a ticket that is valid for anyone living in the town, but it is excluded from the analysis by exclude IS NOT NULL)
mainly_elderly BOOLEAN Entitled group: elderly people (the categories differ, but often it is persons older than 60, 65 years or persons who are formally retired)
conditions VARCHAR Conditions of the ticket (in German)
proof VARCHAR Where and how the eligibility needs to be proven (in German)
other_tickets VARCHAR Other tickets within the same system for this target group
url1 VARCHAR Link to source
url2 VARCHAR Link to source
url3 VARCHAR Link to source
url4 VARCHAR Link to source
url5 VARCHAR Link to source

Dataset 2: Aggregated count for all districts and municipalities

This dataset contains geometries and ticket counts for the districts and municipalities mentioned in the first dataset. Each row is unique for one area i.e. there are no duplicates.

Note that all but one municipality include the ticket count for the higher-level district. E.g., the town of Bensheim (mentioned above) counts 2 welfare tickets, one of which traces back to the surrounding Bergstraße district.
In one case, however this rule does not apply: For Halberstadt, the ticket count disregards the count of Landkreis Harz, because they have separate welfare tickets (ags = 15085135 and ags = 15085, respectively). Welcome to Germany, please have a seat and enjoy our Föderalismus.

Column Data Type Explanation Link / Source
ags VARCHAR Official Municipality Key, primary key Wikipedia
gen VARCHAR Name of the municipality / district / state Section 8 of the atlas
bez VARCHAR Administrative unit
nuts3 VARCHAR NUTS3 code Wikipedia
pop_22 INT Population, as of 2022-31-12 Federal Statistical Office of Germany
pop_22_adj INT Population, as of 2022-31-12 / adjusted for municipalities within that district (their population was deducted) see pop22
sgb2_22 INT Number of SGB II welfare recipients (“Regelleistungsberechtigte”) / average of the 2022 monthly dataset © Federal Employment Agency, Product ID 1103
urbn_type INT Urban type according to EUROSTAT (1= urban, 2 = intermediate, 3 = rural). As the Agora typology is available for districts, I used the BMDV RegioStar typology to assign the municipalities (Gem5 type: 51, 52 = 1 / 53, 54 = 2 / 55 = 3) © Agora Transport Transformation / RegioStaR Typology (DE)
area_km2 INT Area in km² Based on the BKG geometries (see geom), helpful for rendering the smaller geometries on top
ddep_bua INT Daily PT departures per km² built-up area („Siedlungs- und Verkehrsfläche“) © Agora Transport Transformation
ddep_bua_terc INT Tercile of ddep_bua
wkt GEOMETRY / WELL-KNOWN TEXT MultiPolygon, CRS = EPSG 4326 Federal Agency for Cartography and Geodesy, license: dl-de/by-2-0

If you use the dataset, or have a question, please drop me a line
at christoph [at] fluegelrad [dot] net.

Have fun with the data, enjoy your ride, and don’t forget to get off the bus!