Beneficiaries Of Temporary Protection At The End Of The Month By Citizenship, Age And Sex - Monthly Data
Eurostat code: migr_asytpsm ยท (2022-03 - 2025-09)
@eurostat.migr_asytpsm
Eurostat code: migr_asytpsm ยท (2022-03 - 2025-09)
@eurostat.migr_asytpsm
This Eurostat dataset contains data on beneficiaries of temporary protection at the end of the month by citizenship, age and sex - 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_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.