Asylum Applicants Having Had Their Applications Processed Under The Accelerated Procedure, By Age, Sex And Citizenship - Monthly Data
Eurostat code: migr_asyaccm ยท (2021-01 - 2025-09)
@eurostat.migr_asyaccm
Eurostat code: migr_asyaccm ยท (2021-01 - 2025-09)
@eurostat.migr_asyaccm
This Eurostat dataset contains data on asylum applicants having had their applications processed under the accelerated procedure, by age, sex and citizenship - monthly data, as collected and published by the Statistical Office of the European Union.
raw: Original table as downloaded from Eurostat.tidy: A cleaned and transformed version of the raw table, where time period values appear as rows instead of columns (unpivoted format).Last updated: 2025-10-21T23:00:00+0200
CREATE TABLE raw (
"freq" VARCHAR,
"unit" VARCHAR,
"citizen" VARCHAR,
"sex" VARCHAR,
"age" VARCHAR,
"geo" VARCHAR,
"n_2021_01" DOUBLE -- 2021-01,
"n_2021_02" DOUBLE -- 2021-02,
"n_2021_03" DOUBLE -- 2021-03,
"n_2021_04" DOUBLE -- 2021-04,
"n_2021_05" DOUBLE -- 2021-05,
"n_2021_06" DOUBLE -- 2021-06,
"n_2021_07" DOUBLE -- 2021-07,
"n_2021_08" DOUBLE -- 2021-08,
"n_2021_09" DOUBLE -- 2021-09,
"n_2021_10" DOUBLE -- 2021-10,
"n_2021_11" DOUBLE -- 2021-11,
"n_2021_12" DOUBLE -- 2021-12,
"n_2022_01" DOUBLE -- 2022-01,
"n_2022_02" DOUBLE -- 2022-02,
"n_2022_03" DOUBLE -- 2022-03,
"n_2022_04" DOUBLE -- 2022-04,
"n_2022_05" DOUBLE -- 2022-05,
"n_2022_06" DOUBLE -- 2022-06,
"n_2022_07" DOUBLE -- 2022-07,
"n_2022_08" DOUBLE -- 2022-08,
"n_2022_09" DOUBLE -- 2022-09,
"n_2022_10" DOUBLE -- 2022-10,
"n_2022_11" DOUBLE -- 2022-11,
"n_2022_12" DOUBLE -- 2022-12,
"n_2023_01" DOUBLE -- 2023-01,
"n_2023_02" DOUBLE -- 2023-02,
"n_2023_03" DOUBLE -- 2023-03,
"n_2023_04" DOUBLE -- 2023-04,
"n_2023_05" DOUBLE -- 2023-05,
"n_2023_06" DOUBLE -- 2023-06,
"n_2023_07" DOUBLE -- 2023-07,
"n_2023_08" DOUBLE -- 2023-08,
"n_2023_09" DOUBLE -- 2023-09,
"n_2023_10" DOUBLE -- 2023-10,
"n_2023_11" DOUBLE -- 2023-11,
"n_2023_12" DOUBLE -- 2023-12,
"n_2024_01" DOUBLE -- 2024-01,
"n_2024_02" DOUBLE -- 2024-02,
"n_2024_03" DOUBLE -- 2024-03,
"n_2024_04" DOUBLE -- 2024-04,
"n_2024_05" DOUBLE -- 2024-05,
"n_2024_06" DOUBLE -- 2024-06,
"n_2024_07" DOUBLE -- 2024-07,
"n_2024_08" DOUBLE -- 2024-08,
"n_2024_09" DOUBLE -- 2024-09,
"n_2024_10" DOUBLE -- 2024-10,
"n_2024_11" DOUBLE -- 2024-11,
"n_2024_12" DOUBLE -- 2024-12,
"n_2025_01" DOUBLE -- 2025-01,
"n_2025_02" DOUBLE -- 2025-02,
"n_2025_03" DOUBLE -- 2025-03,
"n_2025_04" DOUBLE -- 2025-04,
"n_2025_05" DOUBLE -- 2025-05,
"n_2025_06" DOUBLE -- 2025-06,
"n_2025_07" DOUBLE -- 2025-07,
"n_2025_08" DOUBLE -- 2025-08,
"n_2025_09" DOUBLE -- 2025-09
);CREATE TABLE tidy (
"freq" VARCHAR,
"unit" VARCHAR,
"citizen" VARCHAR,
"sex" VARCHAR,
"age" VARCHAR,
"geo" VARCHAR,
"time_period" VARCHAR,
"value" DOUBLE
);Anyone who has the link will be able to view this.