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Asylum Applicants By Type, Citizenship, Age And Sex - Monthly Data

Eurostat code: migr_asyappctzm ยท (2008-01 - 2025-03)

@eurostat.migr_asyappctzm

Asylum Applicants By Type, Citizenship, Age And Sex - Monthly Data - Raw
@eurostat.migr_asyappctzm.raw

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

  • 22.81 MB
  • 665792 rows
  • 214 columns
  • Only the first 100 columns are shown
freq

Freq

unit

Unit

citizen

Citizen

sex

Sex

age

Age

asyl_app

Asyl App

geo

Geo

n_2008_01

2008-01

n_2008_02

2008-02

n_2008_03

2008-03

n_2008_04

2008-04

n_2008_05

2008-05

n_2008_06

2008-06

n_2008_07

2008-07

n_2008_08

2008-08

n_2008_09

2008-09

n_2008_10

2008-10

n_2008_11

2008-11

n_2008_12

2008-12

n_2009_01

2009-01

n_2009_02

2009-02

n_2009_03

2009-03

n_2009_04

2009-04

n_2009_05

2009-05

n_2009_06

2009-06

n_2009_07

2009-07

n_2009_08

2009-08

n_2009_09

2009-09

n_2009_10

2009-10

n_2009_11

2009-11

n_2009_12

2009-12

n_2010_01

2010-01

n_2010_02

2010-02

n_2010_03

2010-03

n_2010_04

2010-04

n_2010_05

2010-05

n_2010_06

2010-06

n_2010_07

2010-07

n_2010_08

2010-08

n_2010_09

2010-09

n_2010_10

2010-10

n_2010_11

2010-11

n_2010_12

2010-12

n_2011_01

2011-01

n_2011_02

2011-02

n_2011_03

2011-03

n_2011_04

2011-04

n_2011_05

2011-05

n_2011_06

2011-06

n_2011_07

2011-07

n_2011_08

2011-08

n_2011_09

2011-09

n_2011_10

2011-10

n_2011_11

2011-11

n_2011_12

2011-12

n_2012_01

2012-01

n_2012_02

2012-02

n_2012_03

2012-03

n_2012_04

2012-04

n_2012_05

2012-05

n_2012_06

2012-06

n_2012_07

2012-07

n_2012_08

2012-08

n_2012_09

2012-09

n_2012_10

2012-10

n_2012_11

2012-11

n_2012_12

2012-12

n_2013_01

2013-01

n_2013_02

2013-02

n_2013_03

2013-03

n_2013_04

2013-04

n_2013_05

2013-05

n_2013_06

2013-06

n_2013_07

2013-07

n_2013_08

2013-08

n_2013_09

2013-09

n_2013_10

2013-10

n_2013_11

2013-11

n_2013_12

2013-12

n_2014_01

2014-01

n_2014_02

2014-02

n_2014_03

2014-03

n_2014_04

2014-04

n_2014_05

2014-05

n_2014_06

2014-06

n_2014_07

2014-07

n_2014_08

2014-08

n_2014_09

2014-09

n_2014_10

2014-10

n_2014_11

2014-11

n_2014_12

2014-12

n_2015_01

2015-01

n_2015_02

2015-02

n_2015_03

2015-03

n_2015_04

2015-04

n_2015_05

2015-05

n_2015_06

2015-06

n_2015_07

2015-07

n_2015_08

2015-08

n_2015_09

2015-09

n_2015_10

2015-10

n_2015_11

2015-11

n_2015_12

2015-12

n_2016_01

2016-01

n_2016_02

2016-02

n_2016_03

2016-03

n_2016_04

2016-04

n_2016_05

2016-05

n_2016_06

2016-06

n_2016_07

2016-07

n_2016_08

2016-08

n_2016_09

2016-09

n_2016_10

2016-10

n_2016_11

2016-11

n_2016_12

2016-12

n_2017_01

2017-01

n_2017_02

2017-02

n_2017_03

2017-03

n_2017_04

2017-04

n_2017_05

2017-05

n_2017_06

2017-06

n_2017_07

2017-07

n_2017_08

2017-08

n_2017_09

2017-09

n_2017_10

2017-10

n_2017_11

2017-11

n_2017_12

2017-12

n_2018_01

2018-01

n_2018_02

2018-02

n_2018_03

2018-03

n_2018_04

2018-04

n_2018_05

2018-05

n_2018_06

2018-06

n_2018_07

2018-07

n_2018_08

2018-08

n_2018_09

2018-09

n_2018_10

2018-10

n_2018_11

2018-11

n_2018_12

2018-12

n_2019_01

2019-01

n_2019_02

2019-02

n_2019_03

2019-03

n_2019_04

2019-04

n_2019_05

2019-05

n_2019_06

2019-06

n_2019_07

2019-07

n_2019_08

2019-08

n_2019_09

2019-09

n_2019_10

2019-10

n_2019_11

2019-11

n_2019_12

2019-12

n_2020_01

2020-01

n_2020_02

2020-02

n_2020_03

2020-03

n_2020_04

2020-04

n_2020_05

2020-05

n_2020_06

2020-06

n_2020_07

2020-07

n_2020_08

2020-08

n_2020_09

2020-09

n_2020_10

2020-10

n_2020_11

2020-11

n_2020_12

2020-12

n_2021_01

2021-01

n_2021_02

2021-02

n_2021_03

2021-03

n_2021_04

2021-04

n_2021_05

2021-05

n_2021_06

2021-06

n_2021_07

2021-07

n_2021_08

2021-08

n_2021_09

2021-09

n_2021_10

2021-10

n_2021_11

2021-11

n_2021_12

2021-12

n_2022_01

2022-01

n_2022_02

2022-02

n_2022_03

2022-03

n_2022_04

2022-04

n_2022_05

2022-05

n_2022_06

2022-06

n_2022_07

2022-07

n_2022_08

2022-08

n_2022_09

2022-09

n_2022_10

2022-10

n_2022_11

2022-11

n_2022_12

2022-12

n_2023_01

2023-01

n_2023_02

2023-02

n_2023_03

2023-03

n_2023_04

2023-04

n_2023_05

2023-05

n_2023_06

2023-06

n_2023_07

2023-07

n_2023_08

2023-08

n_2023_09

2023-09

n_2023_10

2023-10

n_2023_11

2023-11

n_2023_12

2023-12

n_2024_01

2024-01

n_2024_02

2024-02

n_2024_03

2024-03

n_2024_04

2024-04

n_2024_05

2024-05

n_2024_06

2024-06

n_2024_07

2024-07

n_2024_08

2024-08

n_2024_09

2024-09

n_2024_10

2024-10

n_2024_11

2024-11

n_2024_12

2024-12

n_2025_01

2025-01

n_2025_02

2025-02

n_2025_03

2025-03

MonthlyPersonAndorraFemalesTotalAsylum applicantAustria
MonthlyPersonAndorraFemalesTotalAsylum applicantBelgium
MonthlyPersonAndorraFemalesTotalAsylum applicantBulgaria
MonthlyPersonAndorraFemalesTotalAsylum applicantSwitzerland
MonthlyPersonAndorraFemalesTotalAsylum applicantCyprus
MonthlyPersonAndorraFemalesTotalAsylum applicantCzechia
MonthlyPersonAndorraFemalesTotalAsylum applicantGermany
MonthlyPersonAndorraFemalesTotalAsylum applicantDenmark
MonthlyPersonAndorraFemalesTotalAsylum applicantEstonia
MonthlyPersonAndorraFemalesTotalAsylum applicantGreece

CREATE TABLE raw (
  "freq" VARCHAR,
  "unit" VARCHAR,
  "citizen" VARCHAR,
  "sex" VARCHAR,
  "age" VARCHAR,
  "asyl_app" VARCHAR,
  "geo" VARCHAR,
  "n_2008_01" DOUBLE,
  "n_2008_02" DOUBLE,
  "n_2008_03" DOUBLE,
  "n_2008_04" DOUBLE,
  "n_2008_05" DOUBLE,
  "n_2008_06" DOUBLE,
  "n_2008_07" DOUBLE,
  "n_2008_08" DOUBLE,
  "n_2008_09" DOUBLE,
  "n_2008_10" DOUBLE,
  "n_2008_11" DOUBLE,
  "n_2008_12" DOUBLE,
  "n_2009_01" DOUBLE,
  "n_2009_02" DOUBLE,
  "n_2009_03" DOUBLE,
  "n_2009_04" DOUBLE,
  "n_2009_05" DOUBLE,
  "n_2009_06" DOUBLE,
  "n_2009_07" DOUBLE,
  "n_2009_08" DOUBLE,
  "n_2009_09" DOUBLE,
  "n_2009_10" DOUBLE,
  "n_2009_11" DOUBLE,
  "n_2009_12" DOUBLE,
  "n_2010_01" DOUBLE,
  "n_2010_02" DOUBLE,
  "n_2010_03" DOUBLE,
  "n_2010_04" DOUBLE,
  "n_2010_05" DOUBLE,
  "n_2010_06" DOUBLE,
  "n_2010_07" DOUBLE,
  "n_2010_08" DOUBLE,
  "n_2010_09" DOUBLE,
  "n_2010_10" DOUBLE,
  "n_2010_11" DOUBLE,
  "n_2010_12" DOUBLE,
  "n_2011_01" DOUBLE,
  "n_2011_02" DOUBLE,
  "n_2011_03" DOUBLE,
  "n_2011_04" DOUBLE,
  "n_2011_05" DOUBLE,
  "n_2011_06" DOUBLE,
  "n_2011_07" DOUBLE,
  "n_2011_08" DOUBLE,
  "n_2011_09" DOUBLE,
  "n_2011_10" DOUBLE,
  "n_2011_11" DOUBLE,
  "n_2011_12" DOUBLE,
  "n_2012_01" DOUBLE,
  "n_2012_02" DOUBLE,
  "n_2012_03" DOUBLE,
  "n_2012_04" DOUBLE,
  "n_2012_05" DOUBLE,
  "n_2012_06" DOUBLE,
  "n_2012_07" DOUBLE,
  "n_2012_08" DOUBLE,
  "n_2012_09" DOUBLE,
  "n_2012_10" DOUBLE,
  "n_2012_11" DOUBLE,
  "n_2012_12" DOUBLE,
  "n_2013_01" DOUBLE,
  "n_2013_02" DOUBLE,
  "n_2013_03" DOUBLE,
  "n_2013_04" DOUBLE,
  "n_2013_05" DOUBLE,
  "n_2013_06" DOUBLE,
  "n_2013_07" DOUBLE,
  "n_2013_08" DOUBLE,
  "n_2013_09" DOUBLE,
  "n_2013_10" DOUBLE,
  "n_2013_11" DOUBLE,
  "n_2013_12" DOUBLE,
  "n_2014_01" DOUBLE,
  "n_2014_02" DOUBLE,
  "n_2014_03" DOUBLE,
  "n_2014_04" DOUBLE,
  "n_2014_05" DOUBLE,
  "n_2014_06" DOUBLE,
  "n_2014_07" DOUBLE,
  "n_2014_08" DOUBLE,
  "n_2014_09" DOUBLE,
  "n_2014_10" DOUBLE,
  "n_2014_11" DOUBLE,
  "n_2014_12" DOUBLE,
  "n_2015_01" DOUBLE,
  "n_2015_02" DOUBLE,
  "n_2015_03" DOUBLE,
  "n_2015_04" DOUBLE,
  "n_2015_05" DOUBLE,
  "n_2015_06" DOUBLE,
  "n_2015_07" DOUBLE,
  "n_2015_08" DOUBLE,
  "n_2015_09" DOUBLE
);

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