REPERE 2024

The code and data in this repo are part of the REPERE (Recherche Empirique sur la Participation Électorale des Ressortissants Européens) and ECREMEE research projects. The repo focuses on the département du Nord and the EU elections of 2024.

See Kelbel et al. 2024 for earlier results on the 2020 municipal elections.

Contents

data-cities

City-level data:

• border -- contiguity to Belgian border
  • Source: fieldwork, 2020
  • N.B. The script in this folder requires two unreleased datasets used in Kelbel et al. 2024. The border.tsv dataset contains some of the same information, with minor corrections.
• census -- population characteristics extracted from the 2021 census
  • Source: Insee, 2024
• density -- population density, continuous and categorical
  • Source: Insee, 2024
• geography -- spatial boundaries and centroids
  • Source: Etalab, 2024
• population -- legal population sizes
  • Source: Insee, 2024

data-elections

Electoral data, scraped from the Web archive of the Ministry of the Interior:

• eur-2024 -- turnout in the 2024 EU elections
• mun-2020 -- turnout in the 2020 municipal elections
  • Also includes code to determine the (often missing) left-right position of the municipal majority, as determined by council seats.
• pre-2024 -- turnout and results of the 2022 presidential election

data-lists

Data from the 2024 electoral lists:

• councillors -- non-French voters on municipal councils
  • Source: RNE (Ministry of the Interior), 2024
• coverage -- data collection coverage
  • Report: coverage.md
  • Source: fieldwork, 2024
• electorate -- registered voters
  • Report: electorate.md
  • Source: Préfecture du Nord, 2024
  • N.B. When lists are updated with new data from the Préfecture, make sure to refresh all electorate-.*.rds files, as well as electorate-counts.tsv, as well as any script that produces anything based on these datasets, e.g. electorate.md, panel.rds and panel.rmd, councillors.tsv, and so on.
• panel -- find voters observed in both 2020 and 2024
  • Report: panel.md
  • Sources: fieldwork, 2020, and lists of registered voters, Préfecture du Nord, 2024
• vote2024 -- observed voting patterns
  • Report: vote2024.md
  • Source: fieldwork, 2024

N.B. The scripts in this folder rely on several restricted-access datasets that contain personal information on voters. In all published material, personal information is replaced with pid 128-bit hashes based on family names, first names (replaced with "NA" when missing) and dates of birth (also replaced with "NA" when missing, which occurs only in the 2020 sample).

data-nationalities

Data on non-French EU nationalities, at the national and departmental levels:

• nationalities -- counts of top 8 non-French EU nationalities (source: census, 2021)

N.B. The counts and proportions for "Other EU" nationalities is an approximation for each other EU nationality, obtained by dividing the total number of "Other EU" nationals by 18 (EU 27 - French - top 8 non-French nationalities).

plot-cartograms

Contiguous and non-overlapping circle cartograms of abstention and turnout rates.

Example:

plot-choropleths

Maps of electorate sizes in the 2024 EU elections.

Example:

plot-turnout

Scatterplots of turnout in the 2024 EU elections vs. previous years:

plot-turnout

Scatterplots of vote shares in the 2024 EU elections vs. the 2022 presidential election.

Example:

Dependencies

library(tidyverse)
fs::dir_ls(glob = "*r", recurse = TRUE) %>% 
    map(read_lines) %>% 
    map(str_subset, "library\\(") %>% 
    unlist() %>% 
    unique() %>% 
    sort() %>% 
    cat(sep = "\n")

library(cartogram)
library(ggrepel)
library(jqr)
library(patchwork)
library(rvest) # bundled with the {tidyverse}
library(sf)
library(tidyverse)

HOWTO

The code below will refresh all datasets, plots and reports.

# fs::dir_ls(glob = "*r", recurse = TRUE)

# [1] generate datasets

# city-{centres,contours}.rds
source("data-cities/geography/geography.r")
# population.tsv
source("data-cities/population/population.r")
# turnout-eur-2024.tsv
source("data-elections/eur-2024/eur-2024.r")
# results-eur-2024.tsv
source("data-elections/eur-2024/results-eur-2024.r")
# turnout-mun-2020-r[12].tsv
source("data-elections/mun-2020/mun-2020.r")
# turnout-pre-2022-r[12], results-pre-2022-r[12].tsv
source("data-elections/pre-2022/pre-2022.r")
# vshares-pre-2022.tsv
source("data-elections/pre-2022/vshares-pre-2022.r")
# coverage.tsv
source("data-lists/coverage/coverage.r")
# electorate-{eur,mun,ppl}.rds, electorate-counts.tsv
source("data-lists/electorate/electorate.r")
# panel.tsv
source("data-lists/panel/panel.r")

# [2] generate plots

source("data-lists/coverage/plot-coverage.r")
source("plot-cartograms/plot-cartograms.r")
source("plot-choropleths/plot-choropleths.r")
source("plot-turnout/plot-turnout.r")
source("plot-vshares/plot-vshares.r")

# [3] generate reports
library(knitr)

# coverage.md
knitr::knit("data-lists/coverage.rmd")