This survey concerns subjectively perceived barriers to mobility in Germany. It was conducted from 09.09.2024 to 20.09.2024 and from 06.11.2024 to 12.11.2024 among German residents aged 18 or older. After the conclusion of data collection, the dataset comprised 4718 cases, of which 3751 were complete. After logical filtering, the resulting dataset includes N = 3692 cases. It meets sampling quotas on the variables age class, sex, regional statistical settlement structure at the 95% confidence interval. The data is fully anonymised. This repository contains the filtered replies to survey questions (in "Survey results"), results of scientific analysis (in "Analysis results"), and corresponding R scripts (in "R scripts"). The following paragraphs sketch out the survey content: The first section of the survey captures the participant’s usual mobility patterns for seven transport modes and their sub-categories: MIT includes driving an own car, driving a two-wheeler, being a co-driver, and use of car sharing; PT, separated into local and long-distance transport; walking; using an own bicycle; using shared micro-mobility services (e.g. e-scooters, rental bikes); hailed services (incl. taxis, ride hailing providers); and air travel. Participants are asked about trip frequencies on a five point ordinal scale from “Daily/almost daily” to “Never/almost never”. The second section asks respondents about their mobility conditions, including possession of a driver's license, car, two-wheeler and bicycle(s), PT subscriptions, car sharing subscription, and accessibility and service quality of PT stations, taxis, and shared mobility. It also asks about mobility impairments, though not discriminating their severity. The third section deals with the perception of mobility barriers. It starts with a preliminary question on active decision against particular transport modes multiple times throughout the past seven days. For each mode we choose between seven and 45 statements that relate to infrastructural, social, psychological, capability-related, and technological mobility barriers or factors of mode choice. Responds are captured on a five-point Likert-scale for those modes actively decided against. The survey ends with a socio-demographic section. It includes socio-demographic standards along with two individual questions to survey sex and gender. Furthermore, it contains three questions regarding language skills and language barriers to account for multilingual and non-native background, as well as nine questions regarding migration background, citizen status, identification, and migration biography (only if participants stated themselves or one of their parents to have migrated to Germany). (2026-02-09)