[met_proj_19ranmig] Assumptions for net migration by age, sex, type of projection and metropolitan regions

Updated by provider on December 20, 2022 (6:21 PM).

Documentation

[FREQ] Frequency

[A] Annual

[projection] Type of projection

[BSL] Baseline projections

[age] Age class

[TOTAL] Total

[unit] Unit of measure

[PER] Person

[sex] Sex

[F] Females
[M] Males
[T] Total

[metroreg] Metropolitan regions

[AT001MC] Wien
[AT002M] Graz
[AT003M] Linz
[AT004M] Salzburg
[AT005M] Innsbruck
[AT_NM] Non-metropolitan regions in Austria
[BE001MC] Bruxelles / Brussel
[BE002M] Antwerpen
[BE003M] Gent
[BE004M] Charleroi
[BE005M] Liège
[BE_NM] Non-metropolitan regions in Belgium
[BG001MC] Sofia
[BG002M] Plovdiv
[BG003M] Varna
[BG004M] Burgas
[BG_NM] Non-metropolitan regions in Bulgaria
[CH001M] Zürich
[CH002M] Genève
[CH003M] Basel
[CH004MC] Bern
[CH005M] Lausanne
[CH_NM] Non-metropolitan regions in Switzerland
[CY001MC] Lefkosia
[CZ001MC] Praha
[CZ002M] Brno
[CZ003M] Ostrava
[CZ004M] Plzen
[CZ_NM] Non-metropolitan regions in Czech Republic
[DE001MC] Berlin
[DE002M] Hamburg
[DE003M] München
[DE004M] Köln
[DE005M] Frankfurt am Main
[DE007M] Stuttgart
[DE008M] Leipzig
[DE009M] Dresden
[DE011M] Düsseldorf
[DE012M] Bremen
[DE013M] Hannover
[DE014M] Nürnberg
[DE017M] Bielefeld
[DE018M] Halle an der Saale
[DE019M] Magdeburg
[DE020M] Wiesbaden
[DE021M] Göttingen
[DE025M] Darmstadt
[DE027M] Freiburg im Breisgau
[DE028M] Regensburg
[DE031M] Schwerin
[DE032M] Erfurt
[DE033M] Augsburg
[DE034M] Bonn
[DE035M] Karlsruhe
[DE036M] Mönchengladbach
[DE037M] Mainz
[DE038M] Ruhrgebiet
[DE039M] Kiel
[DE040M] Saarbrücken
[DE042M] Koblenz
[DE043M] Rostock
[DE044M] Kaiserslautern
[DE045M] Iserlohn
[DE052M] Flensburg
[DE054M] Konstanz
[DE057M] Gießen
[DE059M] Bayreuth
[DE061M] Aschaffenburg
[DE064M] Neubrandenburg
[DE069M] Rosenheim
[DE073M] Offenburg
[DE074M] Görlitz
[DE077M] Schweinfurt
[DE079M] Wetzlar
[DE083M] Braunschweig-Salzgitter-Wolfsburg
[DE084M] Mannheim-Ludwigshafen
[DE504M] Münster
[DE507M] Aachen
[DE510M] Lübeck
[DE513M] Kassel
[DE517M] Osnabrück
[DE520M] Oldenburg (Oldenburg)
[DE522M] Heidelberg
[DE523M] Paderborn
[DE524M] Würzburg
[DE527M] Bremerhaven
[DE529M] Heilbronn
[DE532M] Ulm
[DE533M] Pforzheim
[DE534M] Ingolstadt
[DE537M] Reutlingen
[DE540M] Siegen
[DE542M] Hildesheim
[DE544M] Zwickau
[DE546M] Wuppertal
[DE548M] Düren
[DE549M] Bocholt
[DE_NM] Non-metropolitan regions in Germany
[DK001MC] København
[DK002M] Århus
[DK003M] Odense
[DK004M] Aalborg
[DK_NM] Non-metropolitan regions in Denmark
[EE001MC] Tallinn
[EE_NM] Non-metropolitan regions in Estonia
[EL001MC] Athina
[EL002M] Thessaloniki
[EL_NM] Non-metropolitan regions in Greece
[ES001MC] Madrid
[ES002M] Barcelona
[ES003M] Valencia
[ES004M] Sevilla
[ES005M] Zaragoza
[ES006M] Málaga - Marbella
[ES007M] Murcia - Cartagena
[ES008M] Las Palmas
[ES009M] Valladolid
[ES010M] Palma de Mallorca
[ES012M] Vitoria/Gasteiz
[ES013M] Oviedo - Gijón
[ES014M] Pamplona/Iruña
[ES015M] Santander
[ES019M] Bilbao
[ES020M] Córdoba
[ES021M] Alicante/Alacant - Elche/Elx
[ES022M] Vigo
[ES025M] Santa Cruz de Tenerife
[ES026M] A Coruña
[ES501M] Granada
[ES510M] Guipúzcoa
[ES522M] Cádiz
[ES_NM] Non-metropolitan regions in Spain
[FI001MC] Helsinki
[FI002M] Tampere
[FI003M] Turku
[FI_NM] Non-metropolitan regions in Finland
[FR001MC] Paris
[FR003M] Lyon
[FR004M] Toulouse
[FR006M] Strasbourg
[FR007M] Bordeaux
[FR008M] Nantes
[FR009M] Lille - Dunkerque - Valenciennes
[FR010M] Montpellier
[FR011M] Saint-Etienne
[FR013M] Rennes
[FR014M] Amiens
[FR015M] Rouen
[FR016M] Nancy
[FR018M] Reims
[FR019M] Orléans
[FR020M] Dijon
[FR021M] Poitiers
[FR022M] Clermont-Ferrand
[FR023M] Caen
[FR024M] Limoges
[FR025M] Besançon
[FR026M] Grenoble
[FR030M] Fort-de-France
[FR035M] Tours
[FR036M] Angers
[FR037M] Brest
[FR038M] Le Mans
[FR040M] Mulhouse
[FR043M] Perpignan
[FR044M] Nimes
[FR045M] Pau
[FR203M] Marseille
[FR205M] Nice
[FR_NM] Non-metropolitan regions in France
[HR001MC] Zagreb
[HR005M] Split
[HR_NM] Non-metropolitan regions in Croatia
[HU001MC] Budapest
[HU002M] Miskolc
[HU004M] Pécs
[HU005M] Debrecen
[HU009M] Székesfehérvár
[HU_NM] Non-metropolitan regions in Hungary
[IE001MC] Dublin
[IE002M] Cork
[IE_NM] Non-metropolitan regions in Ireland
[IS_NM] Non-metropolitan regions in Iceland
[IT001MC] Roma
[IT002M] Milano
[IT003M] Napoli
[IT004M] Torino
[IT005M] Palermo
[IT006M] Genova
[IT007M] Firenze
[IT008M] Bari
[IT009M] Bologna
[IT010M] Catania
[IT011M] Venezia
[IT012M] Verona
[IT022M] Taranto
[IT027M] Cagliari
[IT028M] Padova
[IT029M] Brescia
[IT501M] Messina
[IT502M] Prato
[IT503M] Parma
[IT505M] Reggio nell Emilia
[IT_NM] Non-metropolitan regions in Italy
[LI_NM] Non-metropolitan regions in Liechtenstein
[LT001MC] Vilnius
[LT002M] Kaunas
[LT_NM] Non-metropolitan regions in Lithuania
[LU001MC] Luxembourg
[LV001MC] Riga
[LV_NM] Non-metropolitan regions in Latvia
[MT001MC] Valletta
[MT_NM] Non-metropolitan regions in Malta
[NL001M] s' Gravenhage
[NL002MC] Amsterdam
[NL003M] Rotterdam
[NL004M] Utrecht
[NL005M] Eindhoven
[NL006M] Tilburg
[NL007M] Groningen
[NL008M] Enschede
[NL009M] Arnhem - Nijmegen
[NL012M] Breda
[NL015M] Leeuwarden
[NL507M] Leiden
[NL511M] Zwolle
[NL_NM] Non-metropolitan regions in Netherlands
[NO001MC] Oslo
[NO002M] Bergen
[NO_NM] Non-metropolitan regions in Norway
[PL001MC] Warszawa
[PL002M] Lódz
[PL003M] Kraków
[PL004M] Wroclaw
[PL005M] Poznan
[PL006M] Gdansk
[PL007M] Szczecin
[PL008M] Bydgoszcz - Torún
[PL009M] Lublin
[PL010M] Katowice
[PL011M] Bialystok
[PL012M] Kielce
[PL014M] Olsztyn
[PL015M] Rzeszów
[PL016M] Opole
[PL024M] Czestochowa
[PL025M] Radom
[PL506M] Bielsko-Biala
[PL514M] Tarnów
[PL_NM] Non-metropolitan regions in Poland
[PT001MC] Lisboa
[PT002M] Porto
[PT005M] Coimbra
[PT_NM] Non-metropolitan regions in Portugal
[RO001MC] Bucuresti
[RO002M] Cluj-Napoca
[RO003M] Timisoara
[RO004M] Craiova
[RO501M] Constanta
[RO502M] Iasi
[RO503M] Galati
[RO504M] Brasov
[RO505M] Ploiesti
[RO_NM] Non-metropolitan regions in Romania
[SE001MC] Stockholm
[SE002M] Göteborg
[SE003M] Malmö
[SE006M] Uppsala
[SE_NM] Non-metropolitan regions in Sweden
[SI001MC] Ljubljana
[SI002M] Maribor
[SI_NM] Non-metropolitan regions in Slovenia
[SK001MC] Bratislava
[SK002M] Kosice
[SK_NM] Non-metropolitan regions in Slovakia

Search filters

Frequency [FREQ] (1)

Type of projection [projection] (1)

Age class [age] (1)

Unit of measure [unit] (1)

Sex [sex] (3)

Metropolitan regions [metroreg] (275)

This dataset has 825 series:

Trim NA Values

Series code	2019	2020	2021	2022	2023	2024	2025	2026	2027	2028	2029	2030	2031	2032	2033	2034	2035	2036	2037	2038	2039	2040	2041	2042	2043	2044	2045	2046	2047	2048	2049	2050	2051	2052	2053	2054	2055	2056	2057	2058	2059	2060	2061	2062	2063	2064	2065	2066	2067	2068	2069	2070	2071	2072	2073	2074	2075	2076	2077	2078	2079	2080	2081	2082	2083	2084	2085	2086	2087	2088	2089	2090	2091	2092	2093	2094	2095	2096	2097	2098	2099	2100
[A.BSL.TOTAL.PER.F.CH004MC]	1778	1965	2154	2363	2560	2756	2780	2806	2834	2858	2878	2902	2928	2949	2979	2999	3022	3053	3072	3089	3110	3142	3143	3174	3195	3201	3226	3239	3253	3259	3284	3291	3311	3315	3335	3346	3362	3375	3398	3406	3425	3439	3459	3460	3485	3491	3503	3519	3525	3534	3545	3568	3570	3580	3583	3601	3611	3618	3624	3634	3642	3651	3659	3678	3675	3677	3695	3701	3708	3713	3733	3735	3743	3760	3767	3768	3772	3782	3794	3807	3809	3809
[A.BSL.TOTAL.PER.F.CH005M]	424	809	1204	1594	1976	2347	2372	2374	2368	2378	2392	2410	2402	2411	2418	2425	2439	2450	2461	2477	2501	2508	2522	2545	2561	2580	2592	2603	2629	2649	2662	2666	2695	2711	2720	2731	2738	2752	2771	2773	2779	2800	2805	2824	2832	2842	2851	2869	2889	2905	2903	2928	2948	2957	2958	2984	2997	3016	3037	3048	3055	3076	3089	3108	3119	3141	3159	3157	3169	3190	3199	3210	3223	3238	3249	3263	3284	3287	3303	3317	3331	3353
[A.BSL.TOTAL.PER.F.CH_NM]	5834	6743	7702	8632	9564	10514	10562	10616	10671	10716	10780	10809	10867	10885	10899	10916	10936	10933	10939	10956	10935	10940	10964	10959	10960	10964	10993	10992	11001	11052	11061	11102	11109	11161	11173	11217	11274	11292	11315	11384	11398	11414	11440	11466	11500	11522	11534	11545	11556	11584	11591	11591	11603	11608	11633	11637	11636	11666	11675	11688	11726	11748	11753	11763	11788	11802	11821	11850	11875	11882	11911	11945	11969	11971	12005	12042	12050	12064	12094	12095	12088	12126
[A.BSL.TOTAL.PER.F.CY001MC]	3180	2309	2530	2710	2849	2941	2445	2384	2317	2268	2224	2189	2156	2130	2091	2076	2042	2023	2002	1979	1956	1932	1914	1903	1889	1882	1869	1851	1830	1808	1799	1782	1762	1747	1736	1726	1716	1698	1690	1682	1666	1665	1654	1652	1641	1634	1622	1612	1598	1589	1576	1570	1557	1556	1542	1527	1519	1498	1500	1486	1470	1456	1446	1430	1421	1409	1399	1389	1372	1362	1352	1341	1320	1323	1309	1292	1286	1280	1264	1253	1245	1231
[A.BSL.TOTAL.PER.F.CZ001MC]	12288	11665	10317	8906	7444	6044	5886	5660	5449	5278	5116	4974	4871	4804	4734	4665	4623	4554	4476	4387	4300	4210	4145	4049	3992	3937	3884	3808	3763	3693	3625	3575	3491	3411	3365	3290	3220	3157	3106	3029	2990	2933	2868	2849	2814	2781	2752	2712	2697	2675	2657	2622	2628	2610	2594	2604	2591	2568	2575	2566	2556	2549	2539	2559	2551	2555	2546	2536	2542	2540	2537	2532	2543	2530	2534	2535	2539	2528	2551	2567	2559	2590
[A.BSL.TOTAL.PER.F.CZ002M]	1359	1256	1024	769	515	258	313	327	339	357	381	415	443	478	515	530	554	574	597	609	623	631	638	664	677	691	721	738	749	761	791	810	808	821	857	860	878	881	882	907	918	940	949	947	951	971	989	997	1005	1008	1024	1025	1042	1055	1077	1070	1082	1094	1106	1106	1134	1130	1148	1159	1171	1186	1186	1196	1207	1217	1232	1232	1247	1253	1255	1264	1263	1272	1281	1282	1301	1298
[A.BSL.TOTAL.PER.F.CZ003M]	-1116	-1084	-1091	-1132	-1166	-1191	-1077	-1014	-932	-880	-819	-768	-711	-677	-628	-590	-544	-508	-460	-425	-383	-341	-307	-256	-223	-174	-135	-95	-54	-18	25	53	92	141	169	212	257	272	299	340	357	396	420	447	465	484	506	527	553	568	594	612	627	645	664	683	706	722	736	753	774	795	807	823	842	872	880	880	909	913	933	941	950	965	972	981	990	1005	1019	1038	1033	1043
[A.BSL.TOTAL.PER.F.CZ004M]	1455	1421	1293	1179	1042	908	922	931	939	938	936	944	936	932	926	946	941	935	936	930	921	923	926	930	925	937	932	930	935	942	938	940	948	950	947	952	955	952	954	957	961	958	949	952	943	954	955	958	961	953	961	962	964	954	955	961	960	963	966	965	965	967	969	961	961	957	962	966	966	964	961	967	961	955	960	965	976	980	962	964	955	964
[A.BSL.TOTAL.PER.F.CZ_NM]	1429	1458	1091	712	301	-67	141	320	470	593	708	800	880	951	1005	1067	1118	1179	1248	1346	1431	1507	1587	1671	1762	1838	1928	2031	2110	2222	2297	2385	2510	2592	2652	2738	2799	2901	2964	3018	3064	3109	3175	3209	3266	3276	3314	3348	3382	3436	3459	3517	3544	3589	3641	3661	3710	3767	3804	3864	3889	3950	3994	4022	4065	4083	4141	4192	4198	4252	4274	4309	4332	4376	4401	4431	4446	4477	4496	4516	4562	4570
[A.BSL.TOTAL.PER.F.DE001MC]	14381	15498	14958	14478	13940	13389	13278	13279	13248	13225	13166	13164	13082	13006	12905	12826	12725	12640	12586	12511	12435	12369	12333	12267	12224	12165	12134	12117	12047	11997	12003	11962	11916	11855	11848	11812	11807	11776	11737	11687	11684	11623	11613	11606	11537	11469	11448	11405	11388	11368	11327	11282	11243	11196	11136	11121	11066	11025	11012	10973	10937	10887	10850	10810	10770	10749	10711	10666	10614	10566	10565	10514	10447	10410	10392	10368	10279	10255	10213	10165	10125	10072

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