Prediction apportionments and their extent of inequality measured by the PSI-based and PSP-based indexes for the 2024 election of the European Parliament

apportionments_pop_2021_pred_2024.xlsx This is a dataset containing prediction apportionments of seats for the 2024 election of the European Parliament (EP). This prediction is based on population data from the 2021 census held by Eurostat. See our paper for the standard function, configurations of parameters, and d-rounding rules we used for calculation. Note: We recommend readers who are not so well informed about apportionment problems and rounding rules see https://www.census.gov/library/video/2021/what-is-apportionment.html or https://www.census.gov/history/www/reference/apportionment/methods_of_apportionment.html. <br> Data interpretations for this dataset are as follows. 4 worksheets: <strong>all</strong>: prediction apportionment results of all configurations under the assumption that the membership remains unchanged and the total number of seats is between 705 (current total number of seats) and 750 (statutory threshold). <strong>no_lose</strong>: prediction apportionment results under the following assumptions: (1) the membership remains unchanged; (2) any Member State does not lose any seats from the current distribution of seats; (3) and the total number of seats is between 705 and 750. <strong>increase_no_lose</strong>: prediction apportionment results under the following assumptions: (1) the membership remains unchanged; (2) any Member State with an increasing population does not lose any seats from the current distribution of seats; (3) and the total number of seats is between 705 and 750. <strong>response</strong>: prediction apportionment results under the following assumptions: (1) the membership remains unchanged; (2) any Member State with an increasing population does not lose any seats from the current distribution of seats while any Member State with a decreasing population does not gain seats; (3) and the total number of seats is between 705 and 750. Meanings of column names: <strong>State</strong>: name of Member State of the European Union <strong>p_2011</strong>: population data from the 2011 census (data source: https://ec.europa.eu/eurostat/web/population-demography/population-housing-censuses/database) <strong>p_2021</strong>: population data from the 2021 census (data source: https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Population_and_housing_census_2021_-_population_grids&amp;stable=1#Distribution_of_European_population) <strong>stat_2020</strong>: current distribution of seats in the EP (data source: https://www.europarl.europa.eu/news/en/headlines/eu-affairs/20180126STO94114/infographic-how-many-seats-does-each-country-get-in-in-the-european-parliament) <strong>other columns</strong>: composed in the order of "a", "gamma", "d-rounding rule", and "the total number of seats (S)". <br> indexes_pop_2021_pred_2024.csv This is a dataset presenting the extent of the PSI-based inequality index (index based on Population Seat Index) and the conventional PSP-based index (index based on the proportion of seats to population) of all prediction apportionments of seats for the 2024 election of the European Parliament (EP). This prediction is based on population data from the 2021 census held by Eurostat. See our paper for the standard function, configurations of parameters, and d-rounding rules used for calculation and the PSI-based index and PSP-based index used for evaluation. Data interpretations for this dataset are as follows. Meanings of column names: <strong>a</strong>: configuration of the standard function <strong>gamma</strong>: configuration of the standard function <strong>rounding</strong>: d-rounding rule used for obtaining a whole number <strong>S</strong>: the total number of seats in the prediction <strong>x_min</strong>: the minimum number of seats in the prediction apportionment <strong>x_max</strong>: the maximum number of seats in the prediction apportionment <strong>inequality index</strong>: maximum of PSI divided by minimum of PSI <strong>psp_max/psp_min</strong>: maximum of PSP divided by minimum of PSP <br>