Annual Population By Sex, Age, Degree Of Urbanisation And Labour Status (1–000)

Eurostat code: lfsa_pgauws · (1983 - 2024)

@eurostat.lfsa_pgauws

Table List

2 tables(12.25 MB)

Annual Population By Sex, Age, Degree Of Urbanisation And Labour Status (1–000) - Raw

Annual Population By Sex, Age, Degree Of Urbanisation And Labour Status (1–000) - Unpivoted

Annual Population By Sex, Age, Degree Of Urbanisation And Labour Status (1–000) - Raw

@eurostat.lfsa_pgauws.raw

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

6.44 MB
83834 rows
49 columns

freq Freq	unit Unit	sex Sex	deg_urb Deg Urb	age Age	wstatus Wstatus	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	n_2009 2009	n_2010 2010	n_2011 2011	n_2012 2012	n_2013 2013	n_2014 2014	n_2015 2015	n_2016 2016	n_2017 2017	n_2018 2018	n_2019 2019	n_2020 2020	n_2021 2021	n_2022 2022	n_2023 2023	n_2024 2024
Annual	Thousand persons	Females	Cities	From 15 to 19 years	Persons in the labour force	Austria				22.9	19.8	20.6	19.7	21.4	22.5	19.2	18.5	18.8	23.5	23.9	24.3	29.4	28.7	27	23.5	22.2	19.5	17	16	14.7	17.7	17.2	18.9	14	16.2	16.2	13.7	18.1	17.9
Annual	Thousand persons	Females	Cities	From 15 to 19 years	Persons in the labour force	Belgium	11.8	10.7	9.9	6.2	7	7.3	9.9	12.6	15.4	11.3	12.7	8.2	12.4	11.8	12.6	12.6	10.7	12.1	12.6	14.1	4.6	4.1	4.3	3	3.7	3.7	7.4	6.9	6.6	7.2	8.6	7	10.4
Annual	Thousand persons	Females	Cities	From 15 to 19 years	Persons in the labour force	Bulgaria															8	6.8	5.9	7.5	5.5		4.9		3.6				2.8				3.1
Annual	Thousand persons	Females	Cities	From 15 to 19 years	Persons in the labour force	Switzerland																			49.7	52	17.8	19.6	20.7	20.7	21.8	22.4	22.2	16.8	18.5	20.1	21.2	22.2	24
Annual	Thousand persons	Females	Cities	From 15 to 19 years	Persons in the labour force	Cyprus								1.8	1.9	1.4	0.6	0.9	1.1	0.9	1.1	1.2	1.4	1.3	1.7	1.1	0.9	0.8	1.3	1	1.2	1	1.2	0.7	0.7	0.7	0.9	1.3	1.5
Annual	Thousand persons	Females	Cities	From 15 to 19 years	Persons in the labour force	Czechia											3	4.2	3	4.9	6.2	4.8	6.1	6.5	5.5	4.1	2.6	2.7	3.7	3.9	3.9	3.8	3.9	4.6	2.9	3.9	5.4	4.5	6
Annual	Thousand persons	Females	Cities	From 15 to 19 years	Persons in the labour force	Germany	268	261.5	233.5	232.9	216.7	245.3	243.6	247.9	242.1	254.6	243.6	228.1	214	246.2	269	284.9	268.5	248.8	232.3	221.3	136.9	139.6	137.7	135.8	142.4	153.8	140.4	145.5	166.4	156.3	171	183.5	180.2
Annual	Thousand persons	Females	Cities	From 15 to 19 years	Persons in the labour force	Denmark	31.1	28.9	23.1	26.7	21.8	23.8	27.4	25.2	23.8	18.1	23.3	25.5	22.3	24.4	24.7	27	28.1	26.8	28.2	28.3	24.5	23	23.3	22.8	22.3	24.3	22.5	22.9	22	21.5	24.9	26.1	29.9
Annual	Thousand persons	Females	Cities	From 15 to 19 years	Persons in the labour force	Euro area – 20 countries (from 2023)											776.8	768.2	748.1	797.2	831	867	843.4	779.3	721.6	713.5	530.4	506.7	486.7	485.9	546.6	566.9	568.1	569.8	552.3	632.9	704.5	732.3	712.2
Annual	Thousand persons	Females	Cities	From 15 to 19 years	Persons in the labour force	Estonia															2.2	2.8	2.3	1.6	1.8	2.3	1.2	1.3	1.5	2.3	2.6	2	2.5	2.4	2	1.6	3.5	3.3	3.2


CREATE TABLE raw (
  "freq" VARCHAR,
  "unit" VARCHAR,
  "sex" VARCHAR,
  "deg_urb" VARCHAR,
  "age" VARCHAR,
  "wstatus" 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
);