Baselight

Unemployment By Sex

Eurostat code: teilm010 · (2024-04 - 2025-03)

@eurostat.teilm010

Unemployment By Sex - Raw
@eurostat.teilm010.raw

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

  • 19.11 KB
  • 108 rows
  • 18 columns
freq

Freq

s_adj

S Adj

age

Age

sex

Sex

unit

Unit

geo

Geo

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

MonthlySeasonally adjusted data, not calendar adjusted dataTotalFemalesThousand personsAustria109981069710311512895111118111
MonthlySeasonally adjusted data, not calendar adjusted dataTotalFemalesThousand personsBosnia and Herzegovina92919192929291919090
MonthlySeasonally adjusted data, not calendar adjusted dataTotalFemalesThousand personsBelgium127131129129129133137140142139141
MonthlySeasonally adjusted data, not calendar adjusted dataTotalFemalesThousand personsBulgaria5855555655535148474748
MonthlySeasonally adjusted data, not calendar adjusted dataTotalFemalesThousand personsSwitzerland106108110113115116114114115
MonthlySeasonally adjusted data, not calendar adjusted dataTotalFemalesThousand personsCyprus1313131312121212131313
MonthlySeasonally adjusted data, not calendar adjusted dataTotalFemalesThousand personsCzechia7870717276766886766582
MonthlySeasonally adjusted data, not calendar adjusted dataTotalFemalesThousand personsGermany647657665670672671671672673676678
MonthlySeasonally adjusted data, not calendar adjusted dataTotalFemalesThousand personsDenmark9410610610297108104106110108102
MonthlySeasonally adjusted data, not calendar adjusted dataTotalFemalesThousand personsEuro area – 20 countries (from 2023)54495441537552695223523052045154518751685140

CREATE TABLE raw (
  "freq" VARCHAR,
  "s_adj" VARCHAR,
  "age" VARCHAR,
  "sex" VARCHAR,
  "unit" VARCHAR,
  "geo" VARCHAR,
  "n_2024_04" DOUBLE,
  "n_2024_05" DOUBLE,
  "n_2024_06" DOUBLE,
  "n_2024_07" DOUBLE,
  "n_2024_08" DOUBLE,
  "n_2024_09" DOUBLE,
  "n_2024_10" DOUBLE,
  "n_2024_11" DOUBLE,
  "n_2024_12" DOUBLE,
  "n_2025_01" DOUBLE,
  "n_2025_02" DOUBLE,
  "n_2025_03" DOUBLE
);

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