Employment By Sex, Age, Professional Status And Occupation (1–000)

Eurostat code: lfsa_egais · (1983 - 2024)

@eurostat.lfsa_egais

Table List

2 tables(10.2 MB)

Employment By Sex, Age, Professional Status And Occupation (1–000) - Raw

Employment By Sex, Age, Professional Status And Occupation (1–000) - Unpivoted

Employment By Sex, Age, Professional Status And Occupation (1–000) - Raw

@eurostat.lfsa_egais.raw

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

5.26 MB
100685 rows
49 columns

freq Freq	unit Unit	sex Sex	age Age	wstatus Wstatus	isco08 Isco08	geo Geo	n_1983 1983	n_1984 1984	n_1985 1985	n_1986 1986	n_1987 1987	n_1988 1988	n_1989 1989	n_1990 1990	n_1991 1991	n_1992 1992	n_1995 1995	n_1996 1996
Annual	Thousand persons	Females	From 15 to 24 years	Contributing family workers	No response	Belgium	6.9	9.3	9.3	10.8	6.9	5.6	6.2	6.4	2.7	4.3
Annual	Thousand persons	Females	From 15 to 24 years	Contributing family workers	No response	Switzerland
Annual	Thousand persons	Females	From 15 to 24 years	Contributing family workers	No response	Germany	44.4	41	29.8	24.3	19.8	18.5	12.5	16.6	13.9
Annual	Thousand persons	Females	From 15 to 24 years	Contributing family workers	No response	Denmark
Annual	Thousand persons	Females	From 15 to 24 years	Contributing family workers	No response	Euro area – 20 countries (from 2023)
Annual	Thousand persons	Females	From 15 to 24 years	Contributing family workers	No response	Greece	48.7	45.9	44.4	40.5	35.5	35.7	37.2	36.1	29.9
Annual	Thousand persons	Females	From 15 to 24 years	Contributing family workers	No response	Spain				68.8	72.7	66.4	70.5	61.5	55.2
Annual	Thousand persons	Females	From 15 to 24 years	Contributing family workers	No response	European Union - 27 countries (from 2020)
Annual	Thousand persons	Females	From 15 to 24 years	Contributing family workers	No response	Finland											2.1	2.1
Annual	Thousand persons	Females	From 15 to 24 years	Contributing family workers	No response	France	26.2	25.4	26.1	28	23.3	18.6	15.7	15.7	13.5


CREATE TABLE raw (
  "freq" VARCHAR,
  "unit" VARCHAR,
  "sex" VARCHAR,
  "age" VARCHAR,
  "wstatus" VARCHAR,
  "isco08" VARCHAR,
  "geo" VARCHAR,
  "n_1983" DOUBLE,
  "n_1984" DOUBLE,
  "n_1985" DOUBLE,
  "n_1986" DOUBLE,
  "n_1987" DOUBLE,
  "n_1988" DOUBLE,
  "n_1989" DOUBLE,
  "n_1990" DOUBLE,
  "n_1991" DOUBLE,
  "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,
  "n_2009" DOUBLE,
  "n_2010" DOUBLE,
  "n_2011" DOUBLE,
  "n_2012" DOUBLE,
  "n_2013" DOUBLE,
  "n_2014" DOUBLE,
  "n_2015" DOUBLE,
  "n_2016" DOUBLE,
  "n_2017" DOUBLE,
  "n_2018" DOUBLE,
  "n_2019" DOUBLE,
  "n_2020" DOUBLE,
  "n_2021" DOUBLE,
  "n_2022" DOUBLE,
  "n_2023" DOUBLE,
  "n_2024" DOUBLE
);