Baselight

Employees By Sex, Age And Economic Activity (1983-2008, NACE Rev. 1.1) (1–000)

Eurostat code: lfsa_eegana · (1992 - 2008)

@eurostat.lfsa_eegana

Employees By Sex, Age And Economic Activity (1983-2008, NACE Rev. 1.1) (1–000) - Raw
@eurostat.lfsa_eegana.raw

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

  • 1.82 MB
  • 60796 rows
  • 23 columns
freq

Freq

unit

Unit

sex

Sex

age

Age

nace_r1

Nace R1

geo

Geo

n_1992

1992

n_1993

1993

n_1994

1994

n_1995

1995

n_1996

1996

n_1997

1997

n_1998

1998

n_1999

1999

n_2000

2000

n_2001

2001

n_2002

2002

n_2003

2003

n_2004

2004

n_2005

2005

n_2006

2006

n_2007

2007

n_2008

2008

AnnualThousand personsFemalesFrom 15 to 19 yearsAgriculture, hunting and forestryAustria
AnnualThousand personsFemalesFrom 15 to 19 yearsAgriculture, hunting and forestryBelgium
AnnualThousand personsFemalesFrom 15 to 19 yearsAgriculture, hunting and forestryBulgaria
AnnualThousand personsFemalesFrom 15 to 19 yearsAgriculture, hunting and forestrySwitzerland2.52.32.42.1
AnnualThousand personsFemalesFrom 15 to 19 yearsAgriculture, hunting and forestryCyprus
AnnualThousand personsFemalesFrom 15 to 19 yearsAgriculture, hunting and forestryCzechia1.1
AnnualThousand personsFemalesFrom 15 to 19 yearsAgriculture, hunting and forestryGermany12.18.39.3109.112.512.111.68.88.98.17.77.67.58.68.3
AnnualThousand personsFemalesFrom 15 to 19 yearsAgriculture, hunting and forestryDenmark35.22.6
AnnualThousand personsFemalesFrom 15 to 19 yearsAgriculture, hunting and forestryEuro area – 20 countries (from 2023)26.32724.626
AnnualThousand personsFemalesFrom 15 to 19 yearsAgriculture, hunting and forestryEstonia

CREATE TABLE raw (
  "freq" VARCHAR,
  "unit" VARCHAR,
  "sex" VARCHAR,
  "age" VARCHAR,
  "nace_r1" VARCHAR,
  "geo" VARCHAR,
  "n_1992" DOUBLE,
  "n_1993" DOUBLE,
  "n_1994" DOUBLE,
  "n_1995" DOUBLE,
  "n_1996" DOUBLE,
  "n_1997" DOUBLE,
  "n_1998" DOUBLE,
  "n_1999" DOUBLE,
  "n_2000" DOUBLE,
  "n_2001" DOUBLE,
  "n_2002" DOUBLE,
  "n_2003" DOUBLE,
  "n_2004" DOUBLE,
  "n_2005" DOUBLE,
  "n_2006" DOUBLE,
  "n_2007" DOUBLE,
  "n_2008" DOUBLE
);

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