Population Structure - Functional Urban Areas

Eurostat code: urb_lpopstr · (1989 - 2024)

@eurostat.urb_lpopstr

Table List

2 tables(540.07 KB)

Population Structure - Functional Urban Areas - Raw

Population Structure - Functional Urban Areas - Unpivoted

Population Structure - Functional Urban Areas - Raw

@eurostat.urb_lpopstr.raw

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

300.74 KB
12416 rows
39 columns

freq Freq	indic_ur Indic Ur	cities Cities	n_1991 1991	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_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
Annual	Women per 100 men	Austria	107.9	107.3	106.8	106.5	106.2	106.2	106.1	106.1	106.1	105.9	105.7	105.6	106.1	105.8	105.6	105.5	105.5	105.4				105	104.7
Annual	Women per 100 men	Belgium	104.6	104.6	104.5	104.5	104.5	104.5	104.6	104.6	104.5	104.5	104.5	104.5	104.4	104.4	104.3	104.3	104.2	104.1	104.1	103.7	103.5	103.4	103.4	103.4	103.2	103.1	103	102.9	102.8	102.7	102.6	102.6
Annual	Women per 100 men	Bruxelles/Brussel/Leuven																			105.9	105.1	104.8	104.7	104.7	104.6	104.6	104.7	104.5	104.4	104.2	103.7	103.8	103.7
Annual	Women per 100 men	Antwerpen																			103	102.4	102.3	102.2	102.2	102.3	102.1	101.9	101.8	101.7	101.6	101.5	101.4	101.5
Annual	Women per 100 men	Gent																			103.4	103.1	103.2	103.1	102.9	102.8	102.5	102.3	102.2	101.9	101.9	101.7	101.7	101.6
Annual	Women per 100 men	Charleroi																				106.7	106.4	106.2	106.1	105.9	105.7	105.5	105.3	105.3	105.3	104.8	104.7	104.6
Annual	Women per 100 men	Liège																			106.3	105.8	105.6	105.3	105.3	105.2	105.2	104.8	104.7	104.7	104.5	104.2	104	103.9
Annual	Women per 100 men	Brugge																			103.7	103.4	103.2	103	102.9	103.2	103.3	103.1	102.9	102.9	102.7	102.6	102.5	102.6
Annual	Women per 100 men	Namur																			105.9	105.7	105.5	105.5	105.6	105.7	105.5	104.8	104.7	104.9	104.8	104.4	103.9	103.7
Annual	Women per 100 men	Mons																			109.3	109	108.8	108.4	108.2	107.8	107.6	107.4	107.2	106.9	106.6	106.4	106.3	106.1


CREATE TABLE raw (
  "freq" VARCHAR,
  "indic_ur" VARCHAR,
  "cities" VARCHAR,
  "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
);