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        Chapter Social mobility in the towns and countryside of Late Medieval Crown of Aragon (c. 1300- c. 1550): sources and methodological approaches

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        Author(s)
        Reixach Sala, Albert cc
        Viciano, Pau cc
        Language
        English
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        Abstract
        This chapter deals with the sources and methodologies available to study dynamics of social mobility in Late Medieval Crown of Aragon. We discuss the strengths and limitations of three different kind of sources: fiscal registers, municipal records and notarial sources (wills, probate inventories and wills). Secondly, we present four case studies based on the cities of Girona and Majorca, as well as the small towns of Sant Mateu and Castelló de la Plana (both in northern kingdom of Valencia). In Girona we trace family names through local tax registers combined with an approach centered on lists of municipal offices. We compare the latter approach with another on Palma (Majorca). Finally, we seek to detect changes in socioeconomic status through the minimum threshold of income fixed in general tax records in Sant Mateu, along with the evolution of families recorded in local wealth registers in Castelló.
        URI
        https://library.oapen.org/handle/20.500.12657/104628
        Keywords
        Social mobility; Late Medieval Crown of Aragon; sources; tax records; municipal registers
        DOI
        10.36253/979-12-215-0667-9.09
        ISBN
        9791221506679, 9791221506679
        Publisher
        Firenze University Press
        Publisher website
        https://www.fupress.com/
        Publication date and place
        Florence, 2025
        Series
        Datini Studies in Economic History, 5
        Pages
        39
        Rights
        https://creativecommons.org/licenses/by/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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