Civic Non-Participation in Scotland: A Missing Data Perspective

Democratic government relies on a great deal of voluntary participation from the population. This participation is not guaranteed, and when citizens are absent from the data collecting processes of the state, a missing data problem occurs. The co-occurrence of the Scottish local elections and the Scottish Census in 2022 provides an unusual opportunity to test hypotheses about common and context-specific drivers of civic non-participation. Using a geospatial approach, we show that ward-level census nonresponse is highly correlated with electoral abstention despite abstention being about five times more common than initial census nonresponse. Statistical modelling demonstrates strong common roles for deprivation and English-language speaking in driving the participation rates of a ward. Meanwhile relatively specific effects are shown for cohabitation in driving census response, and the proportion of young people in driving voting behaviour. We conclude that the similarity between these nonresponse processes represents an opportunity for improving practice in increasing response rates. For example, census “hard to count” indices can incorporate data from elections as “interim” predictions for low-response areas, and framing voting as a household duty, rather than an individual one, may improve turnout.

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Published
2025-09-01
DOI
https://doi.org/10.31235/osf.io/x9rj4_v6
Primary Topic
Social Capital and Networks
Type
article
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article

Civic Non-Participation in Scotland: A Missing Data Perspective

James Ackland, Anahid Basiri
Social Capital and Networks
article

Civic Non-Participation in Scotland: A Missing Data Perspective

James Ackland, Anahid Basiri
article en

Abstract

Democratic government relies on a great deal of voluntary participation from the population. This participation is not guaranteed, and when citizens are absent from the data collecting processes of the state, a missing data problem occurs. The co-occurrence of the Scottish local elections and the Scottish Census in 2022 provides an unusual opportunity to test hypotheses about common and context-specific drivers of civic non-participation. Using a geospatial approach, we show that ward-level census nonresponse is highly correlated with electoral abstention despite abstention being about five times more common than initial census nonresponse. Statistical modelling demonstrates strong common roles for deprivation and English-language speaking in driving the participation rates of a ward. Meanwhile relatively specific effects are shown for cohabitation in driving census response, and the proportion of young people in driving voting behaviour. We conclude that the similarity between these nonresponse processes represents an opportunity for improving practice in increasing response rates. For example, census “hard to count” indices can incorporate data from elections as “interim” predictions for low-response areas, and framing voting as a household duty, rather than an individual one, may improve turnout.

Geospatial Research (United Kingdom) (GB)
Openalex Percentile: Top 69%
Social Capital and Networks
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