[24_84_DF_DCIS_MATRIND_1] Nuptiality

Name: Nuptiality
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
[ITG29] Olbia-Tempio
[ITG2A] Ogliastra
[ITG2B] Medio Campidano
[ITG2C] Carbonia-Iglesias

[DATA_TYPE] Indicator

[BRASM_110] brides at second or subsequent marriage by geographical area at 2011 census (%)
[BRASM_FROM2017] brides at second or subsequent marriage (%)
[BRGRASM_110] bridegrooms at second or subsequent marriage by geographical area at 2011 census (%)
[BRGRASM_FROM2017] bridegrooms at second or subsequent marriage (%)
[CMARRGP_110] civil marriages by geographical area at 2011 census (%)
[CMARRGP_FROM2017] civil marriages (%)
[FMRBRALL_110] first marriage rate brides by geographical area at 2011 census(all ages)(per thousand values)
[FMRBRALL_FROM2017] first marriage rate brides(all ages)(per thousand values)
[FMRBRGRALL_110] first marriage rate bridegrooms by geographical area at 2011 census (all ages)(per thousand values)
[FMRBRGRALL_FROM2017] first marriage rate bridegrooms (all ages) (per thousand values)
[FMRBRGR_110] first marriage rate bridegrooms by geographical area at 2011 census (age 16-49) (per thousand values)
[FMRBRGR_FROM2017] first marriage rate bridegrooms (age 16-49) (per thousand values)
[FMRBR_110] first marriage rate brides by geographical area at 2011 census (age 16-49) (per thousand values)
[FMRBR_FROM2017] first marriage rate brides (age 16-49) (per thousand values)
[JOWNPP_110] joint ownership of property according by geographical area at 2011 census(%)
[JOWNPP_FROM2017] joint ownership of property according (%)
[MAGEMBR16_49FROM2017] mean age at marriage brides (age 16-49)
[MAGEMBRGR16_49FROM2017] mean age at marriage bridegrooms (age 16-49)
[MAGEMBRGR_110] mean age at marriage bridegrooms by geographical area at 2011 census (all ages)
[MAGEMBRGR_16_49] mean age at marriage bridegrooms (age 16-49) by geographical area at 2011 census
[MAGEMBRGR_FROM2017] mean age at marriage bridegrooms (all ages)
[MAGEMBR_110] mean age at marriage brides by geographical area at 2011 census (all ages)
[MAGEMBR_16_49] mean age at marriage brides (age 16-49) by geographical area at 2011 census (all ages)
[MAGEMBR_FROM2017] mean age at marriage brides (all ages)
[MARALFSP_110] marriage with at least a foreign spouse by geographical area at 2011 census (%)
[MARALFSP_FROM2017] marriage with at least a foreign spouse (%)
[NUPTRATE_110] nuptiality rate by geographical area at 2011 census (per thousand values)
[NUPTRATE_FROM2017] nuptiality rate(per thousand values)
[NUPT_TOTM_110] total nuptiality rate bridegrooms (age 16-49) by geographical area at 2011 census (per thousand values)
[NUPT_TOTM_AGE] total nuptiality rate bridegrooms by geographical area (all ages)(per thousand values)
[NUPT_TOTM_FROM2017] total nuptiality rate bridegrooms (per thousand values)
[NUPT_TOTM_TAGE] total nuptiality rate bridegrooms (all ages) by geographical area at 2011 census (per thousand values)
[NUPT_TOTW_110] total nuptiality rate brides (age 16-49) by geographical area at 2011 census (per thousand values)
[NUPT_TOTW_AGE] total nuptiality rate brides by geographical area(all ages)(per thousand values)
[NUPT_TOTW_FROM2017] total nuptiality rate brides (per thousand values)
[NUPT_TOTW_TAGE] total nuptiality rate brides (all ages) by geographical area at 2011 census (per thousand values)

[MARITAL_STATUS_BRIDEGRO] Marital status bridegroom

[99] total

[MARITAL_STATUS_BRIDE] Marital status bride

[99] total

Search filters

Frequency [FREQ] (1)

Territory [REF_AREA] (142)

Indicator [DATA_TYPE] (36)

Marital status bridegroom [MARITAL_STATUS_BRIDEGRO] (1)

Marital status bride [MARITAL_STATUS_BRIDE] (1)

This dataset has 5,094 series:

Trim NA Values

Series code	2004	2005	2006	2007	2008	2009	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021	2022
[A.IT.FMRBRGR_110.99.99]	522.3	522.8	525	541.1	536.2	506.3	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
[A.IT.FMRBRGR_FROM2017.99.99]	522.3	522.8	525	541.1	536.2	506.3	482.9	456.5	463.5	431.6	421.1	429.5	449.6	419	434.3	410.4	195.7	412	421.4
[A.IT.FMRBR_110.99.99]	582.1	585	587.2	602.5	594.3	560.1	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
[A.IT.FMRBR_FROM2017.99.99]	582.1	585	587.2	602.5	594.3	560.1	532.9	503	510.6	475.5	463.4	474.6	496.9	465.1	482.8	454.7	220.3	457.5	471.2
[A.IT.JOWNPP_110.99.99]	44	42.3	40.9	38.7	37.3	35.8	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
[A.IT.JOWNPP_FROM2017.99.99]	44	42.3	40.9	38.7	37.3	35.8	33.9	33.1	31.1	30.5	29.5	29	27	27.8	27.1	27.2	28.7	26.6	26.6
[A.IT.MAGEMBR16_49FROM2017.99.99]	29	29.28	29.53	29.79	29.96	30.13	30.39	30.61	30.76	31	31.2	31.46	31.67	31.94	32.09	32.32	32.82	32.66	33.12
[A.IT.MAGEMBRGR16_49FROM2017.99.99]	31.83	32.09	32.28	32.44	32.54	32.66	32.92	33.05	33.19	33.39	33.5	33.68	33.84	34.06	34.14	34.29	34.67	34.66	35
[A.IT.MAGEMBRGR_110.99.99]	34.13	34.67	34.75	34.74	34.97	35.19	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
[A.IT.MAGEMBRGR_16_49.99.99]	31.83	32.09	32.28	32.44	32.54	32.66	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA

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