Asylum Applications Of Unaccompanied Minors Withdrawn By Citizenship, Age, Sex And Type Of Withdrawal - Monthly Data

Eurostat code: migr_asyumwitm · (2018-01 - 2025-03)

@eurostat.migr_asyumwitm

Table List

2 tables(8.07 MB)

Asylum Applications Of Unaccompanied Minors Withdrawn By Citizenship, Age, Sex And Type Of Withdrawal - Monthly Data - Raw

Asylum Applications Of Unaccompanied Minors Withdrawn By Citizenship, Age, Sex And Type Of Withdrawal - Monthly Data - Unpivoted

Asylum Applications Of Unaccompanied Minors Withdrawn By Citizenship, Age, Sex And Type Of Withdrawal - Monthly Data - Raw

@eurostat.migr_asyumwitm.raw

This table contains the original data as downloaded from the Eurostat API, with labels mapped where available.

5.83 MB
435072 rows
94 columns

freq Freq	withdraw Withdraw	unit Unit	citizen Citizen	sex Sex	age Age	geo Geo
Monthly	Explicit	Person	Andorra	Females	Unknown	Austria
Monthly	Explicit	Person	Andorra	Females	Unknown	Belgium
Monthly	Explicit	Person	Andorra	Females	Unknown	Bulgaria
Monthly	Explicit	Person	Andorra	Females	Unknown	Switzerland
Monthly	Explicit	Person	Andorra	Females	Unknown	Cyprus
Monthly	Explicit	Person	Andorra	Females	Unknown	Czechia
Monthly	Explicit	Person	Andorra	Females	Unknown	Germany
Monthly	Explicit	Person	Andorra	Females	Unknown	Denmark
Monthly	Explicit	Person	Andorra	Females	Unknown	Estonia
Monthly	Explicit	Person	Andorra	Females	Unknown	Greece


CREATE TABLE raw (
  "freq" VARCHAR,
  "withdraw" VARCHAR,
  "unit" VARCHAR,
  "citizen" VARCHAR,
  "sex" VARCHAR,
  "age" VARCHAR,
  "geo" VARCHAR,
  "n_2018_01" DOUBLE,
  "n_2018_02" DOUBLE,
  "n_2018_03" DOUBLE,
  "n_2018_04" DOUBLE,
  "n_2018_05" DOUBLE,
  "n_2018_06" DOUBLE,
  "n_2018_07" DOUBLE,
  "n_2018_08" DOUBLE,
  "n_2018_09" DOUBLE,
  "n_2018_10" DOUBLE,
  "n_2018_11" DOUBLE,
  "n_2018_12" DOUBLE,
  "n_2019_01" DOUBLE,
  "n_2019_02" DOUBLE,
  "n_2019_03" DOUBLE,
  "n_2019_04" DOUBLE,
  "n_2019_05" DOUBLE,
  "n_2019_06" DOUBLE,
  "n_2019_07" DOUBLE,
  "n_2019_08" DOUBLE,
  "n_2019_09" DOUBLE,
  "n_2019_10" DOUBLE,
  "n_2019_11" DOUBLE,
  "n_2019_12" DOUBLE,
  "n_2020_01" DOUBLE,
  "n_2020_02" DOUBLE,
  "n_2020_03" DOUBLE,
  "n_2020_04" DOUBLE,
  "n_2020_05" DOUBLE,
  "n_2020_06" DOUBLE,
  "n_2020_07" DOUBLE,
  "n_2020_08" DOUBLE,
  "n_2020_09" DOUBLE,
  "n_2020_10" DOUBLE,
  "n_2020_11" DOUBLE,
  "n_2020_12" DOUBLE,
  "n_2021_01" DOUBLE,
  "n_2021_02" DOUBLE,
  "n_2021_03" DOUBLE,
  "n_2021_04" DOUBLE,
  "n_2021_05" DOUBLE,
  "n_2021_06" DOUBLE,
  "n_2021_07" DOUBLE,
  "n_2021_08" DOUBLE,
  "n_2021_09" DOUBLE,
  "n_2021_10" DOUBLE,
  "n_2021_11" DOUBLE,
  "n_2021_12" DOUBLE,
  "n_2022_01" DOUBLE,
  "n_2022_02" DOUBLE,
  "n_2022_03" DOUBLE,
  "n_2022_04" DOUBLE,
  "n_2022_05" DOUBLE,
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  "n_2022_10" DOUBLE,
  "n_2022_11" DOUBLE,
  "n_2022_12" DOUBLE,
  "n_2023_01" DOUBLE,
  "n_2023_02" DOUBLE,
  "n_2023_03" DOUBLE,
  "n_2023_04" DOUBLE,
  "n_2023_05" DOUBLE,
  "n_2023_06" DOUBLE,
  "n_2023_07" DOUBLE,
  "n_2023_08" DOUBLE,
  "n_2023_09" DOUBLE,
  "n_2023_10" DOUBLE,
  "n_2023_11" DOUBLE,
  "n_2023_12" DOUBLE,
  "n_2024_01" DOUBLE,
  "n_2024_02" DOUBLE,
  "n_2024_03" DOUBLE,
  "n_2024_04" DOUBLE,
  "n_2024_05" DOUBLE,
  "n_2024_06" DOUBLE,
  "n_2024_07" DOUBLE,
  "n_2024_08" DOUBLE,
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  "n_2024_10" DOUBLE,
  "n_2024_11" DOUBLE,
  "n_2024_12" DOUBLE,
  "n_2025_01" DOUBLE,
  "n_2025_02" DOUBLE,
  "n_2025_03" DOUBLE
);