[24_186_DF_DCIS_MATRDEMO_8] Marital property system and education level

Name: Marital property system and education level
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
[ITD4_C] Friuli-Venezia Giulia (administrative center)
[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
[ITF4_NC] Puglia (not administrative center)
[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

[MARRG_FROM2017] marriages

[MARRIAGE_RITE] Rite of marriage celebration

[ALL] all items

[MARIT_PROPER_SYSTEMS] Marital property systems

[ALL] all items
[COMLS] common law state
[COMPS] community property state

[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

[3] primary school certificate, no educational degree
[31] diploma of upper secondary education (4-5 years)
[4] lower secondary school certificate
[48] long university degree (old programme), long degree (new programme), second degree (new programme)
[57] with post-university specialization or post-diploma AFAM
[75] short university degree (old programme)/first degree
[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

[3] primary school certificate, no educational degree
[31] diploma of upper secondary education (4-5 years)
[4] lower secondary school certificate
[48] long university degree (old programme), long degree (new programme), second degree (new programme)
[57] with post-university specialization or post-diploma AFAM
[75] short university degree (old programme)/first degree
[99] total

Search filters

Frequency [FREQ] (1)

Territory [REF_AREA] (140)

Indicator [DATA_TYPE] (1)

Rite of marriage celebration [MARRIAGE_RITE] (1)

Marital property systems [MARIT_PROPER_SYSTEMS] (3)

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] (7)

Age at marriage bride [AGE_MARRIAGE_BRIDE] (1)

Marital status bride [MARITAL_STATUS_BRIDE] (1)

Education level bride [EDU_LEV_BRIDE] (7)

This dataset has 20,288 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.MARRG_FROM2017.ALL.ALL.YEAR.Y_GE16.99.31.Y_GE16.99.48]	13247	14388	14612	15212	15837	14930	14277	13353	12970	12092	11395	11314	11964	9645	4971	5027	6527	13696	18552
[A.IT.MARRG_FROM2017.ALL.ALL.YEAR.Y_GE16.99.31.Y_GE16.99.57]	0	0	0	0	0	0	0	0	0	0	0	0	0	0	434	387	343	703	733
[A.IT.MARRG_FROM2017.ALL.ALL.YEAR.Y_GE16.99.31.Y_GE16.99.75]	2781	2973	3207	3760	4099	4371	5005	5243	6466	6796	7475	7832	8186	8270	10750	10880	4755	10387	11511
[A.IT.MARRG_FROM2017.ALL.ALL.YEAR.Y_GE16.99.31.Y_GE16.99.99]	101169	102411	104381	106957	105990	100703	97473	91083	92009	86730	85484	87668	90580	85609	86269	82433	43656	84125	90240
[A.IT.MARRG_FROM2017.ALL.ALL.YEAR.Y_GE16.99.4.Y_GE16.99.3]	3417	2994	2267	2131	2133	1800	1502	1418	1356	1359	1094	1187	1165	1323	2726	2497	1346	1858	1588
[A.IT.MARRG_FROM2017.ALL.ALL.YEAR.Y_GE16.99.4.Y_GE16.99.31]	32737	32855	27617	28253	26525	24100	22455	20542	20336	18224	16779	16995	18093	15915	14632	14136	10280	17902	20004
[A.IT.MARRG_FROM2017.ALL.ALL.YEAR.Y_GE16.99.4.Y_GE16.99.4]	58298	55138	54106	53121	51899	45776	41149	37864	37913	34620	33318	33624	34617	31180	30994	29190	10477	16623	12226
[A.IT.MARRG_FROM2017.ALL.ALL.YEAR.Y_GE16.99.4.Y_GE16.99.48]	4091	4300	5419	5534	5527	5050	4785	4392	4310	3771	3862	3932	4483	3666	1137	1172	1866	3376	4607
[A.IT.MARRG_FROM2017.ALL.ALL.YEAR.Y_GE16.99.4.Y_GE16.99.57]	0	0	0	0	0	0	0	0	0	0	0	0	0	0	86	90	95	158	192
[A.IT.MARRG_FROM2017.ALL.ALL.YEAR.Y_GE16.99.4.Y_GE16.99.75]	1240	1225	1176	1328	1350	1377	1272	1156	1174	1067	1016	1024	1108	1147	1255	1187	1298	2507	3081

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