Type of couple and area of citizenship [24_446_DF_DCIS_MATRIMONICIT_3]
Updated on DBnomics on January 24, 2024 (10:56 AM)
Frequency [FREQ]
Territory [REF_AREA]
Indicator [DATA_TYPE]
Rite of marriage celebration [MARRIAGE_RITE]
Order of marriage [ORDER_MARRIAGE]
Type of couple [TYPE_OF_COUPLE]
Citizenship [CITIZENSHIP]
Citizenship bridegroom [CITIZENSHIP_BRIDEGROOM]
Education level bridegroom [EDU_LEV_BRIDEGROOM]
Citizenship bride [CITIZENSHIP_BRIDE]
Education level bride [EDU_LEV_BRIDE]
Same citizenship [Y_SAME_CITIZENSHIP]
Dataset has 6,674 series. Add search filters to narrow them.
Series code | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A.IT.MARRG_FROM2017.ALL.TOT.1.ASI_W.WORLD.99.WORLD.99.9 | 72 | 97 | 100 | 111 | 141 | 128 | 125 | 149 | 189 | 188 | 224 | 265 | 278 | 313 | 341 | 332 | 250 | 282 | 298 | ||||||||
A.IT.MARRG_FROM2017.ALL.TOT.1.EU.WORLD.99.WORLD.99.9 | 1099 | 2675 | 2930 | 5316 | 5660 | 5668 | 5440 | 5316 | 5486 | 5396 | 5316 | 5479 | 5851 | 5682 | 5719 | 5368 | 3210 | 4443 | 4995 | ||||||||
A.IT.MARRG_FROM2017.ALL.TOT.1.EUR_C_E.WORLD.99.WORLD.99.9 | 10252 | 9486 | 9176 | 4996 | 5015 | 4589 | 3895 | 4263 | 4840 | 4645 | 4820 | 5121 | 5441 | 5600 | 5434 | 5701 | 3680 | 4294 | 4222 | ||||||||
A.IT.MARRG_FROM2017.ALL.TOT.1.EUR_OTH.WORLD.99.WORLD.99.9 | 93 | 86 | 115 | 102 | 100 | 112 | 81 | 107 | 96 | 77 | 79 | 68 | 55 | 65 | 78 | 68 | 122 | 186 | 318 | ||||||||
A.IT.MARRG_FROM2017.ALL.TOT.1.OCE.WORLD.99.WORLD.99.9 | 35 | 41 | 48 | 53 | 65 | 61 | 51 | 31 | 56 | 46 | 31 | 53 | 51 | 41 | 58 | 62 | 23 | 26 | 37 | ||||||||
A.IT.MARRG_FROM2017.ALL.TOT.1.WORLD.WORLD.99.WORLD.99.9 | 17389 | 18481 | 19029 | 17663 | 18240 | 16559 | 14215 | 14799 | 16340 | 15363 | 15454 | 16113 | 17137 | 17487 | 17789 | 17924 | 10870 | 13703 | 15138 | 7254 | 8167 | 8640 | 10127 | 12305 | 13524 | 15561 | 16098 |
A.IT.MARRG_FROM2017.ALL.TOT.1.XASI_C_S.WORLD.99.WORLD.99.9 | 105 | 113 | 124 | 139 | 128 | 126 | 111 | 136 | 117 | 141 | 149 | 156 | 173 | 184 | 171 | 161 | 93 | 148 | 151 | ||||||||
A.IT.MARRG_FROM2017.ALL.TOT.2.999.WORLD.99.WORLD.99.9 | 0 | 2 | 1 | 2 | 0 | 1 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 2 | 2 | ||||||||
A.IT.MARRG_FROM2017.ALL.TOT.2.AFR_C_S.WORLD.99.WORLD.99.9 | 38 | 49 | 67 | 41 | 41 | 41 | 24 | 43 | 54 | 41 | 42 | 35 | 35 | 47 | 49 | 42 | 37 | 43 | 30 | ||||||||
A.IT.MARRG_FROM2017.ALL.TOT.2.AFR_E.WORLD.99.WORLD.99.9 | 30 | 26 | 35 | 32 | 41 | 32 | 36 | 26 | 35 | 45 | 47 | 63 | 38 | 38 | 40 | 35 | 22 | 22 | 24 |
Dimension codes and labels
[FREQ] Frequency
- [A] annual
[REF_AREA] Territory
- [IT] Italy
- [IT108] Monza e della Brianza
- [IT109] Fermo
- [IT110] Barletta-Andria-Trani
- [IT111] Sud Sardegna
- [ITC] Nord-ovest
- [ITC1] Piemonte
- [ITC11] Torino
- [ITC12] Vercelli
- [ITC13] Biella
- [ITC14] Verbano-Cusio-Ossola
- [ITC15] Novara
- [ITC16] Cuneo
- [ITC17] Asti
- [ITC18] Alessandria
- [ITC2] Valle d'Aosta / Vallée d'Aoste
- [ITC20] Valle d'Aosta / Vallée d'Aoste
- [ITC3] Liguria
- [ITC31] Imperia
- [ITC32] Savona
- [ITC33] Genova
- [ITC34] La Spezia
- [ITC4] Lombardia
- [ITC41] Varese
- [ITC42] Como
- [ITC43] Lecco
- [ITC44] Sondrio
- [ITC45] Milano
- [ITC46] Bergamo
- [ITC47] Brescia
- [ITC48] Pavia
- [ITC49] Lodi
- [ITC4A] Cremona
- [ITC4B] Mantova
- [ITCD] Nord
- [ITCDE] Centro-nord
- [ITD] Nord-est
- [ITD1] Provincia Autonoma Bolzano / Bozen
- [ITD10] Bolzano / Bozen
- [ITD2] Provincia Autonoma Trento
- [ITD20] Trento
- [ITD3] Veneto
- [ITD31] Verona
- [ITD32] Vicenza
- [ITD33] Belluno
- [ITD34] Treviso
- [ITD35] Venezia
- [ITD36] Padova
- [ITD37] Rovigo
- [ITD4] Friuli-Venezia Giulia
- [ITD41] Pordenone
- [ITD42] Udine
- [ITD43] Gorizia
- [ITD44] Trieste
- [ITD5] Emilia-Romagna
- [ITD51] Piacenza
- [ITD52] Parma
- [ITD53] Reggio nell'Emilia
- [ITD54] Modena
- [ITD55] Bologna
- [ITD56] Ferrara
- [ITD57] Ravenna
- [ITD58] Forlì-Cesena
- [ITD59] Rimini
- [ITDA] Trentino Alto Adige / Südtirol
- [ITE] Centro (I)
- [ITE1] Toscana
- [ITE11] Massa-Carrara
- [ITE12] Lucca
- [ITE13] Pistoia
- [ITE14] Firenze
- [ITE15] Prato
- [ITE16] Livorno
- [ITE17] Pisa
- [ITE18] Arezzo
- [ITE19] Siena
- [ITE1A] Grosseto
- [ITE2] Umbria
- [ITE21] Perugia
- [ITE22] Terni
- [ITE3] Marche
- [ITE31] Pesaro e Urbino
- [ITE32] Ancona
- [ITE33] Macerata
- [ITE34] Ascoli Piceno
- [ITE4] Lazio
- [ITE41] Viterbo
- [ITE42] Rieti
- [ITE43] Roma
- [ITE44] Latina
- [ITE45] Frosinone
- [ITF] Sud
- [ITF1] Abruzzo
- [ITF11] L'Aquila
- [ITF12] Teramo
- [ITF13] Pescara
- [ITF14] Chieti
- [ITF2] Molise
- [ITF21] Isernia
- [ITF22] Campobasso
- [ITF3] Campania
- [ITF31] Caserta
- [ITF32] Benevento
- [ITF33] Napoli
- [ITF34] Avellino
- [ITF35] Salerno
- [ITF4] Puglia
- [ITF41] Foggia
- [ITF42] Bari
- [ITF43] Taranto
- [ITF44] Brindisi
- [ITF45] Lecce
- [ITF5] Basilicata
- [ITF51] Potenza
- [ITF52] Matera
- [ITF6] Calabria
- [ITF61] Cosenza
- [ITF62] Crotone
- [ITF63] Catanzaro
- [ITF64] Vibo Valentia
- [ITF65] Reggio di Calabria
- [ITFG] Mezzogiorno
- [ITG] Isole
- [ITG1] Sicilia
- [ITG11] Trapani
- [ITG12] Palermo
- [ITG13] Messina
- [ITG14] Agrigento
- [ITG15] Caltanissetta
- [ITG16] Enna
- [ITG17] Catania
- [ITG18] Ragusa
- [ITG19] Siracusa
- [ITG2] Sardegna
- [ITG25] Sassari
- [ITG26] Nuoro
- [ITG27] Cagliari
- [ITG28] Oristano
- [ITG29] Olbia-Tempio
- [ITG2A] Ogliastra
- [ITG2B] Medio Campidano
- [ITG2C] Carbonia-Iglesias
[DATA_TYPE] Indicator
- [MARRGPOP_FROM2017] marriages (% in respect of total marriages)
- [MARRG_FROM2017] marriages
[MARRIAGE_RITE] Rite of marriage celebration
- [ALL] all items
[ORDER_MARRIAGE] Order of marriage
- [TOT] total
[TYPE_OF_COUPLE] Type of couple
- [1] Italian groom and foreign bride
- [2] foreign groom and Italian bride
- [5] both foreign spouses (at least one of the spouses who resides in Italy)
[CITIZENSHIP] Citizenship
- [999] Stateless
- [AFR_C_S] Central and South Africa
- [AFR_E] Eastern Africa
- [AFR_N] Northern Africa
- [AFR_W] Western Africa
- [AME_C_S] Central and South America
- [AME_N] Northern America
- [ASI_E] Eastern Asia
- [ASI_W] Western Asia
- [EU] European Union
- [EUR_C_E] Central and Eastern Europe
- [EUR_OTH] Other european countries
- [OCE] Oceania
- [WORLD] All countries of the world
- [XASI_C_S] Central and South Asia
[CITIZENSHIP_BRIDEGROOM] Citizenship bridegroom
- [WORLD] All countries of the world
[EDU_LEV_BRIDEGROOM] Education level bridegroom
- [99] total
[CITIZENSHIP_BRIDE] Citizenship bride
- [WORLD] All countries of the world
[EDU_LEV_BRIDE] Education level bride
- [99] total
[Y_SAME_CITIZENSHIP] Same citizenship
- [9] total