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Digital skills fall with age across Europe, and the shortfall is largest in rural regions — older adults living in rural NUTS-2 areas report markedly weaker digital skills than their urban peers, highlighting an intersecting urban–age divide.

Is there a digital divide within the digital divide? Age differences in digital skills across European regions
Petteri Kolmonen, Kathrin Komp-Leukkunen · August 20, 2026 · Research Square
openalex correlational low evidence 5/10 relevance Full text usable extracted full text DOI Source PDF

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  2. Kathrin Komp-Leukkunen provider ID
Using Eurobarometer data for 20,386 respondents in 180 NUTS-2 regions across 25 European countries, the authors find that digital skills decline with age and that older adults in more rural regions report particularly weak digital skills, indicating an amplified 'digital divide within the digital divide.'

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Assessment

Paper Typecorrelational Evidence Strengthlow — The paper reports associations from cross-sectional survey data without a credible strategy for causal identification; observed age × urbanization differences may reflect confounding (cohort effects, education, income, health, selective migration, regional investments) and measurement limitations rather than causal effects. Methods Rigormedium — Appropriate use of multilevel modelling for individuals nested in regions and a large, multi-country sample strengthens descriptive inference; however, reliance on self-reported digital-skill measures, cross-sectional design, limited information (in the provided text) on covariate adjustment, potential measurement variation across countries/regions, and absence of causal identification lower rigor. SampleEurobarometer survey microdata with 20,386 eligible respondents from 180 NUTS-2 regions across 25 European countries; digital skills measured via survey items (self-reported); individuals are nested in regional (NUTS-2) units; cross-sectional (single-wave) data as described in the supplied text. Themesskills_training adoption IdentificationObservational cross-sectional analysis using Eurobarometer survey microdata (20,386 respondents) with multilevel regressions (individuals nested in NUTS-2 regions) that model associations between age groups, regional urbanization, and their interaction; controls likely included but no quasi-experimental variation, instrumental variables, difference-in-differences, or other causal identification strategies are reported. GeneralizabilityLimited to the 25 European countries and 180 NUTS-2 regions included in the sample; not necessarily representative of all European regions or non-European settings., Restricted to respondents sampled in the Eurobarometer (possible age range limits and non-response biases); may exclude the very oldest (e.g., 75+) if survey limits apply., Findings rely on self-reported digital-skill measures which may vary culturally and by education, limiting comparability across countries/regions., Cross-sectional associations cannot establish temporal or causal relationships; cohort and period effects may confound age differences., Urbanization measured at NUTS-2 may mask within-region heterogeneity (e.g., small towns vs remote rural areas).
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