Immigration By Age And Sex

Eurostat code: migr_imm8 · (1990 - 2023)

@eurostat.migr_imm8

Table List

2 tables(1.45 MB)

Immigration By Age And Sex - Raw

Immigration By Age And Sex - Unpivoted

Immigration By Age And Sex - Raw

@eurostat.migr_imm8.raw

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

838.08 KB
17079 rows
40 columns

freq Freq	agedef Agedef	age Age	unit Unit	sex Sex	geo Geo	n_1990 1990	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_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
Annual	Age in completed years	Total	Number	Females	Austria							32883	32392	33793	41346	38157	40892	47998	51045	55240	51192	44237	35106	35800	33019	33863	38007	42524	47432	52494	69345	59191	52863	49456	50613	47156	50392	102165	68403
Annual	Age in completed years	Total	Number	Females	Belgium	29563	31406	31583	30297	32834	31610	30882	29363	38156	41928	40944	49841	51673	52075	54549	61257	62400	65674			64372	68912	60747	57203	57681	63217	57056	58613	63164	67947	54220	62991	100703	77547
Annual	Age in completed years	Total	Number	Females	Bulgaria																		684					5921	8074	11903	11730	10300	13126	14973	18840	17923	17702	18086	26303
Annual	Age in completed years	Total	Number	Females	Switzerland	72508	77819	75641	71620	64892	58066	48649	46220	47858	53754	54772	60938	62811	59095	58292	56293	60043	75202	84471	76124	76513	70755	70586	76841	75173	73714	71356	68334	68991	68757	65434	68246	77086	127900
Annual	Age in completed years	Total	Number	Females	Cyprus											6466	7922	3691	4179	4815	5442	6771	10107	11598	13026	11494	12707	10350	8252	7285	9087	9686	11793	12394	13154	12316	14058	18335	20803
Annual	Age in completed years	Total	Number	Females	Czechia						4758	4715	5794				5597	17038	20458	19068	22394	26198	40724	43498	32118	22549	12354	16182	13763	13455	13278	28174	21859	26603	39630	25193	26794	201129	73858
Annual	Age in completed years	Total	Number	Females	Germany						444239	387815	344093	329311	369049	353319	371734	361458	328987	324574	295730	268273	277266	277387	159074	181171	212723	254559	293749	359010	576355	445534	382483	365108	355347	283403	346156	1007978	549160
Annual	Age in completed years	Total	Number	Females	Denmark	19845	21883	21661	21854	22524	31213	27075	25099	25734	25514	26646	28141	26481	24740	24755	25992	27396	30933	27417	25773	25850	25634	26502	28941	31649	35946	35097	32857	30866	29051	27347	29089	63624	47503
Annual	Age in completed years	Total	Number	Females	Estonia											17	140	296	487	519	608	1018	1648	1490	1516	1173	1577	1200	1895	1728	6006	5928	6811	6875	7327	6490	7758	27444	12322
Annual	Age in completed years	Total	Number	Females	Greece																			32056	28223	27718	27611	26743	26626	26859	28857	46483	44107	46804	48662	37210	23999	45196	47182


CREATE TABLE raw (
  "freq" VARCHAR,
  "agedef" VARCHAR,
  "age" VARCHAR,
  "unit" VARCHAR,
  "sex" VARCHAR,
  "geo" VARCHAR,
  "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
);