Automating the Transfer of Data between Census Sections and Postal Codes Areas Over Time. An application to Spain

Virgilio Pérez and Jose M. Pavía
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Virgilio Pérez: Universidad de Valencia
Jose M. Pavía: Universidad de Valencia

INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, 2026, vol. 65, issue 65, 91-103

Abstract: Cross-section and longitudinal spatial statistics and econometric models rely on spatially and temporally referenced data. Administrative units like cities, counties, and provinces provide stable data sources, enabling models to combine statistics collected at different times. In Spain, census sections serve as the smallest territorial units in which official statistics are delivered. These areas offer valuable statistics, such as population and housing censuses. Providing these statistics at the postcode level is also pertinent for conducting local analyses and surveys. The issue is that boundaries of census sections undergo regular updates, sometimes involving significant reorganization. The R-package sc2sc automates the transfer of variables between different census sections and postal codes. This paper introduces the package and outlines its methodology, which employs areal weighting to transfer counts and rates.

Keywords: Spatial statistics; longitudinal data; census sections; R-stats; sc2sc; geospatial analysis (search for similar items in EconPapers)
JEL-codes: C31 C87 R11 R12 (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:ris:invreg:022922

DOI: 10.38191/iirr-jorr.24.057

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