[24_186_DF_DCIS_MATRDEMO_1] Rite (%)
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
- [ITG29] Olbia-Tempio
- [ITG2A] Ogliastra
- [ITG2B] Medio Campidano
- [ITG2C] Carbonia-Iglesias
[DATA_TYPE] Indicator
- [MARRGP_FROM2017] marriages (%)
[MARRIAGE_RITE] Rite of marriage celebration
- [ALL] all items
- [CIVIL] civil
- [REL] religious
[MARIT_PROPER_SYSTEMS] Marital property systems
- [ALL] all items
[MONTH_CELEBRATION] Month of celebration
- [YEAR] year
[AGE_MARRIAGE_BRIDEGROOM] Age at marriage bridegroom
- [Y_GE16] 16 years and over
[MARITAL_STATUS_BRIDEGRO] Marital status bridegroom
- [99] total
[EDU_LEV_BRIDEGROOM] Education level bridegroom
- [99] total
[AGE_MARRIAGE_BRIDE] Age at marriage bride
- [Y_GE16] 16 years and over
[MARITAL_STATUS_BRIDE] Marital status bride
- [99] total
[EDU_LEV_BRIDE] Education level bride
- [99] total
Search filters
Frequency [FREQ] (1)
Territory [REF_AREA] (142)
Indicator [DATA_TYPE] (1)
Rite of marriage celebration [MARRIAGE_RITE] (3)
Marital property systems [MARIT_PROPER_SYSTEMS] (1)
Month of celebration [MONTH_CELEBRATION] (1)
Age at marriage bridegroom [AGE_MARRIAGE_BRIDEGROOM] (1)
Marital status bridegroom [MARITAL_STATUS_BRIDEGRO] (1)
Education level bridegroom [EDU_LEV_BRIDEGROOM] (1)
Age at marriage bride [AGE_MARRIAGE_BRIDE] (1)
Marital status bride [MARITAL_STATUS_BRIDE] (1)
Education level bride [EDU_LEV_BRIDE] (1)
This dataset has 426 series:
- from
- 2004=100
- to
- 2022=100
- min:
- 100
- max:
- 100
- avg:
- 100
- σ:
- 0
- from
- 2004=31.9
- to
- 2022=56.4
- min:
- 31.9
- max:
- 71.1
- avg:
- 43.974
- σ:
- 9.714
- from
- 2004=68.1
- to
- 2022=43.6
- min:
- 28.9
- max:
- 68.1
- avg:
- 56.026
- σ:
- 9.714
- from
- 2010=100
- to
- 2022=100
- min:
- 100
- max:
- 100
- avg:
- 100
- σ:
- 0
- from
- 2010=43.6
- to
- 2022=67.7
- min:
- 43.6
- max:
- 76.2
- avg:
- 57.508
- σ:
- 9.333
- from
- 2010=56.4
- to
- 2022=32.3
- min:
- 23.8
- max:
- 56.4
- avg:
- 42.492
- σ:
- 9.333
- from
- 2010=100
- to
- 2022=100
- min:
- 100
- max:
- 100
- avg:
- 100
- σ:
- 0
- from
- 2010=26.6
- to
- 2022=52.2
- min:
- 26.6
- max:
- 68.5
- avg:
- 41.169
- σ:
- 11.066
- from
- 2010=73.4
- to
- 2022=47.8
- min:
- 31.5
- max:
- 73.4
- avg:
- 58.831
- σ:
- 11.066
Series code | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[A.IT.MARRGP_FROM2017.ALL.ALL.YEAR.Y_GE16.99.99.Y_GE16.99.99] | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
[A.IT.MARRGP_FROM2017.CIVIL.ALL.YEAR.Y_GE16.99.99.Y_GE16.99.99] | 31.9 | 32.8 | 34 | 34.6 | 36.7 | 37.2 | 36.5 | 39.2 | 41 | 42.5 | 43.1 | 45.3 | 46.9 | 49.5 | 50.1 | 52.6 | 71.1 | 54.1 | 56.4 |
[A.IT.MARRGP_FROM2017.REL.ALL.YEAR.Y_GE16.99.99.Y_GE16.99.99] | 68.1 | 67.2 | 66 | 65.4 | 63.3 | 62.8 | 63.5 | 60.8 | 59 | 57.5 | 56.9 | 54.7 | 53.1 | 50.5 | 49.9 | 47.4 | 28.9 | 45.9 | 43.6 |
[A.IT108.MARRGP_FROM2017.ALL.ALL.YEAR.Y_GE16.99.99.Y_GE16.99.99] | - | - | - | - | - | - | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
[A.IT108.MARRGP_FROM2017.CIVIL.ALL.YEAR.Y_GE16.99.99.Y_GE16.99.99] | - | - | - | - | - | - | 43.6 | 47.8 | 50.2 | 52.3 | 48 | 53.4 | 53.6 | 59.2 | 63.2 | 65.2 | 76.2 | 67.2 | 67.7 |
[A.IT108.MARRGP_FROM2017.REL.ALL.YEAR.Y_GE16.99.99.Y_GE16.99.99] | - | - | - | - | - | - | 56.4 | 52.2 | 49.8 | 47.7 | 52 | 46.6 | 46.4 | 40.8 | 36.8 | 34.8 | 23.8 | 32.8 | 32.3 |
[A.IT109.MARRGP_FROM2017.ALL.ALL.YEAR.Y_GE16.99.99.Y_GE16.99.99] | - | - | - | - | - | - | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
[A.IT109.MARRGP_FROM2017.CIVIL.ALL.YEAR.Y_GE16.99.99.Y_GE16.99.99] | - | - | - | - | - | - | 26.6 | 31 | 31.7 | 34.1 | 34.3 | 32.6 | 37.3 | 46.1 | 44.9 | 46.9 | 68.5 | 49 | 52.2 |
[A.IT109.MARRGP_FROM2017.REL.ALL.YEAR.Y_GE16.99.99.Y_GE16.99.99] | - | - | - | - | - | - | 73.4 | 69 | 68.3 | 65.9 | 65.7 | 67.4 | 62.7 | 53.9 | 55.1 | 53.1 | 31.5 | 51 | 47.8 |
[A.IT110.MARRGP_FROM2017.ALL.ALL.YEAR.Y_GE16.99.99.Y_GE16.99.99] | - | - | - | - | - | - | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
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