Research project on local food systems conducted under the Cities2030 project. The Cities2030 is a Horizon 2020-funded project with 41 partners that share a similar vision towards improving food systems. 
The survey has been developed by the Cities2030 project and coordinated by the Ca’ Foscari University of Venice (more information at www.cities2030.eu).
The survey aimed to identify the obstacles and vulnerabilities of local food systems following a city-region food system approach. 

The survey has been conducted on more then 4.800 citizens across 20 EU countries with the purpose to collect their views and experiences with the local food systems. The data collected from the survey will be used by the Cities2030 project to develop future recommendations through rigorous research.

The objective was collecting a representative sample of the 20 countries, with at least 400 interviews in the 5 most populous countries (sample error 4,9%) Spain, Turkey, Italy, France and Germany.
In Belgium, Croatia, Cyprus, Denmark, Finland, Ireland, Latvia, Netherlands, North Macedonia, Norway, Portugal, Romania and Slovenia we collected at least 200 interviews (sample error 6,9%), while in the other two least populous countries, Iceland and Luxembourg, we gathered more than 100 interviews guaranteeing a sampling error of less than 10% (in the hypothesis of maximum variability and with a confidence level of 95%).

The research was conducted by a certified Italian research institute (Questlab srl) which developed the platform for administering the survey in 18 languages. Data have been collected trough online panels with characteristics and policies in accordance with the international code ICC/ESOMAR (International Code of Marketing and Social ResearchPractice). The online survey was completely anonymous.

The collection of questionnaires from the panelists took place from 9 April to 9 May 2024. The field remained open for spontaneous responses upon invitation of the project partners until May 31st.

The datasets are in Excel format (with dictionary file) and in statistical software format (Stata and Spss).