Indicators [24_1150_DF_DCIS_UNIONIND_1]
Updated on DBnomics on January 24, 2024 (10:56 AM)
Frequency [FREQ]
Territory [REF_AREA]
Indicator [DATA_TYPE]
Marital status women [MARITAL_STATUS_WOMEN]
Marital status men [MARITAL_STATUS_MEN]
Dataset has 964 series. Add search filters to narrow them.
Series code | 2018 | 2019 | 2020 | 2021 | 2022 |
---|---|---|---|---|---|
A.IT.CIVCOMPROP_P.ALL.ALL | 34.7 | 32.9 | 30.5 | 29 | 29.6 |
A.IT.CIVILFOREIGN.ALL.ALL | 24.3 | 25.8 | 21.5 | 17.3 | 17.3 |
A.IT.CIVILPART_T.ALL.ALL | 4.7 | 3.8 | 2.6 | 3.6 | 4.8 |
A.IT.MEANGAP_M.ALL.ALL | 9.48 | 8.86 | 9.51 | 8.91 | 8.47 |
A.IT.MEANGAP_W.ALL.ALL | 5.49 | 5.51 | 5.77 | 5.25 | 5.58 |
A.IT.MENLEAST.ALL.ALL | 6 | 6 | 6.5 | 6.7 | 6.6 |
A.IT.WOMENLEAST.ALL.ALL | 10.4 | 10.5 | 10.8 | 9.6 | 9.6 |
A.IT108.CIVCOMPROP_P.ALL.ALL | 45.2 | 36 | 39.1 | 25.9 | 37.8 |
A.IT108.CIVILFOREIGN.ALL.ALL | 28.6 | 32 | 17.4 | 11.1 | 20 |
A.IT108.CIVILPART_T.ALL.ALL | 4.8 | 2.9 | 2.6 | 3.1 | 5.2 |
Showing results 1 - 10 / 964
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
[DATA_TYPE] Indicator
- [CIVCOMPROP_P] civil partnerships with joint ownership of property (% of total civil partnerships)
- [CIVILFOREIGN] civil partnership with at least a foreign partner (% of total civil partnerships)
- [CIVILPART_T] civil partnerships per one hundred thousand people (per one hundred thousand values)
- [MEANGAP_M] mean age gap of couples of men
- [MEANGAP_W] mean age gap of couples of women
- [MENLEAST] men with at least one civil partnership/marriage (% of total men in civil partnership)
- [WOMENLEAST] women with at least one union/marriage (% of total women in civil partnership)
[MARITAL_STATUS_WOMEN] Marital status women
- [ALL] total
[MARITAL_STATUS_MEN] Marital status men
- [ALL] total