[24_1152_DF_DCIS_UNIONICIT_1] Civil partnerships by sex and type of couple

Name: Civil partnerships by sex and type of couple
Creator: DBnomics

Updated on DBnomics on January 24, 2024 (10:56 AM).

[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

[DATA_TYPE] Indicator

[CIVILPART] civil partnerships
[CIVILPART_P] civil partnerships (% of total civil partnerships)

[SEX] Gender

[F] females
[M] males
[T] total

[PARTNER_CITIZENCHIP] Partners citizenship

[10] an italian partner and a foreign partner
[11] both foreign partners
[12] both Italian spouses
[14] at least a foreign partner
[9] total

[CITIZENSHIP] Citizenship

[WORLD] All countries of the world

[CITIZENSHIP_PARTNER1] Citizenship partner 1

[WORLD] All countries of the world

[EDU_LEVEL_PARTNER1] Education level partner 1

[99] total

[MARITAL_STATUS_PARTNER1] Marital status partner 1

[ALL] total

[CITIZENSHIP_PARTNER2] Citizenship partner 2

[WORLD] All countries of the world

[EDU_LEVEL_PARTNER2] Education level partner 2

[99] total

[MARITAL_STATUS_PARTNER2] Marital status partner 2

[ALL] total

[SAME_CITIZENCHIP] Same citizenship

[9] total

Search filters

Frequency [FREQ] (1)

Territory [REF_AREA] (138)

Indicator [DATA_TYPE] (2)

Gender [SEX] (3)

Partners citizenship [PARTNER_CITIZENCHIP] (5)

Citizenship [CITIZENSHIP] (1)

Citizenship partner 1 [CITIZENSHIP_PARTNER1] (1)

Education level partner 1 [EDU_LEVEL_PARTNER1] (1)

Marital status partner 1 [MARITAL_STATUS_PARTNER1] (1)

Citizenship partner 2 [CITIZENSHIP_PARTNER2] (1)

Education level partner 2 [EDU_LEVEL_PARTNER2] (1)

Marital status partner 2 [MARITAL_STATUS_PARTNER2] (1)

Same citizenship [SAME_CITIZENCHIP] (1)

This dataset has 4,140 series:

Trim NA Values

Series code	2018	2019	2020	2021	2022
[A.IT.CIVILPART.T.10.WORLD.WORLD.99.ALL.WORLD.99.ALL.9]	610	515	306	332	427
[A.IT.CIVILPART.T.11.WORLD.WORLD.99.ALL.WORLD.99.ALL.9]	72	77	25	40	60
[A.IT.CIVILPART.T.12.WORLD.WORLD.99.ALL.WORLD.99.ALL.9]	2126	1705	1208	1776	2326
[A.IT.CIVILPART.T.14.WORLD.WORLD.99.ALL.WORLD.99.ALL.9]	682	592	331	372	487
[A.IT.CIVILPART.T.9.WORLD.WORLD.99.ALL.WORLD.99.ALL.9]	2808	2297	1539	2148	2813
[A.IT.CIVILPART_P.F.10.WORLD.WORLD.99.ALL.WORLD.99.ALL.9]	8.5	11.9	9.5	8.8	7.6
[A.IT.CIVILPART_P.F.11.WORLD.WORLD.99.ALL.WORLD.99.ALL.9]	2.2	3.9	1.7	1.6	1.5
[A.IT.CIVILPART_P.F.12.WORLD.WORLD.99.ALL.WORLD.99.ALL.9]	89.3	84.2	88.8	89.6	90.9
[A.IT.CIVILPART_P.F.14.WORLD.WORLD.99.ALL.WORLD.99.ALL.9]	10.7	15.8	11.2	10.4	9.1
[A.IT.CIVILPART_P.F.9.WORLD.WORLD.99.ALL.WORLD.99.ALL.9]	100	100	100	100	100

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