[24_186_DF_DCIS_MATRDEMO_3] Age and marital status
Updated on DBnomics on January 17, 2023 (6:47 AM).
[FREQ] Frequency
- [A] annual
[REF_AREA] Territory
- [IT] Italy
[DATA_TYPE] Indicator
- [MARRG_FROM2017] marriages
[MARRIAGE_RITE] Rite of marriage celebration
- [ALL] all items
[MARIT_PROPER_SYSTEMS] Marital property systems
- [ALL] all items
[MONTH_CELEBRATION] Month of celebration
- [YEAR] year
[AGE_MARRIAGE_BRIDEGROOM] Age at marriage bridegroom
- [Y16] 16 years
- [Y17] 17 years
- [Y18] 18 years
- [Y19] 19 years
- [Y20] 20 years
- [Y21] 21 years
- [Y22] 22 years
- [Y23] 23 years
- [Y24] 24 years
- [Y25] 25 years
- [Y26] 26 years
- [Y27] 27 years
- [Y28] 28 years
- [Y29] 29 years
- [Y30] 30 years
- [Y31] 31 years
- [Y32] 32 years
- [Y33] 33 years
- [Y34] 34 years
- [Y35] 35 years
- [Y36] 36 years
- [Y37] 37 years
- [Y38] 38 years
- [Y39] 39 years
- [Y40] 40 years
- [Y41] 41 years
- [Y42] 42 years
- [Y43] 43 years
- [Y44] 44 years
- [Y45] 45 years
- [Y46] 46 years
- [Y47] 47 years
- [Y48] 48 years
- [Y49] 49 years
- [Y50] 50 years
- [Y51] 51 years
- [Y52] 52 years
- [Y53] 53 years
- [Y54] 54 years
- [Y55] 55 years
- [Y56] 56 years
- [Y57] 57 years
- [Y58] 58 years
- [Y59] 59 years
- [Y60] 60 years
- [Y61] 61 years
- [Y62] 62 years
- [Y63] 63 years
- [Y64] 64 years
- [Y65] 65 years
- [Y66] 66 years
- [Y67] 67 years
- [Y68] 68 years
- [Y69] 69 years
- [Y70-74] 70-74 years
- [Y_GE16] 16 years and over
- [Y_GE60] 60 years and over
- [Y_GE75] 75 years and over
[MARITAL_STATUS_BRIDEGRO] Marital status bridegroom
- [1] never married
- [3] divorced
- [4] widowed
- [99] total
[EDU_LEV_BRIDEGROOM] Education level bridegroom
- [99] total
[AGE_MARRIAGE_BRIDE] Age at marriage bride
- [Y16] 16 years
- [Y17] 17 years
- [Y18] 18 years
- [Y19] 19 years
- [Y20] 20 years
- [Y21] 21 years
- [Y22] 22 years
- [Y23] 23 years
- [Y24] 24 years
- [Y25] 25 years
- [Y26] 26 years
- [Y27] 27 years
- [Y28] 28 years
- [Y29] 29 years
- [Y30] 30 years
- [Y31] 31 years
- [Y32] 32 years
- [Y33] 33 years
- [Y34] 34 years
- [Y35] 35 years
- [Y36] 36 years
- [Y37] 37 years
- [Y38] 38 years
- [Y39] 39 years
- [Y40] 40 years
- [Y41] 41 years
- [Y42] 42 years
- [Y43] 43 years
- [Y44] 44 years
- [Y45] 45 years
- [Y46] 46 years
- [Y47] 47 years
- [Y48] 48 years
- [Y49] 49 years
- [Y50] 50 years
- [Y51] 51 years
- [Y52] 52 years
- [Y53] 53 years
- [Y54] 54 years
- [Y55] 55 years
- [Y56] 56 years
- [Y57] 57 years
- [Y58] 58 years
- [Y59] 59 years
- [Y60] 60 years
- [Y61] 61 years
- [Y62] 62 years
- [Y63] 63 years
- [Y64] 64 years
- [Y65] 65 years
- [Y66] 66 years
- [Y67] 67 years
- [Y68] 68 years
- [Y69] 69 years
- [Y70-74] 70-74 years
- [Y_GE16] 16 years and over
- [Y_GE60] 60 years and over
- [Y_GE75] 75 years and over
[MARITAL_STATUS_BRIDE] Marital status bride
- [1] never married
- [3] divorced
- [4] widowed
- [99] total
[EDU_LEV_BRIDE] Education level bride
- [99] total
Search filters
Frequency [FREQ] (1)
Territory [REF_AREA] (1)
Indicator [DATA_TYPE] (1)
Rite of marriage celebration [MARRIAGE_RITE] (1)
Marital property systems [MARIT_PROPER_SYSTEMS] (1)
Month of celebration [MONTH_CELEBRATION] (1)
Age at marriage bridegroom [AGE_MARRIAGE_BRIDEGROOM] (58)
Marital status bridegroom [MARITAL_STATUS_BRIDEGRO] (4)
Education level bridegroom [EDU_LEV_BRIDEGROOM] (1)
Age at marriage bride [AGE_MARRIAGE_BRIDE] (58)
Marital status bride [MARITAL_STATUS_BRIDE] (4)
Education level bride [EDU_LEV_BRIDE] (1)
This dataset has 52,096 series:
Series code | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[A.IT.MARRG_FROM2017.ALL.ALL.YEAR.Y16.1.99.Y18.4.99] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[A.IT.MARRG_FROM2017.ALL.ALL.YEAR.Y16.1.99.Y18.99.99] | 0 | 0 | 2 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[A.IT.MARRG_FROM2017.ALL.ALL.YEAR.Y16.1.99.Y19.1.99] | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[A.IT.MARRG_FROM2017.ALL.ALL.YEAR.Y16.1.99.Y19.3.99] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[A.IT.MARRG_FROM2017.ALL.ALL.YEAR.Y16.1.99.Y19.4.99] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[A.IT.MARRG_FROM2017.ALL.ALL.YEAR.Y16.1.99.Y19.99.99] | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[A.IT.MARRG_FROM2017.ALL.ALL.YEAR.Y16.1.99.Y20.1.99] | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[A.IT.MARRG_FROM2017.ALL.ALL.YEAR.Y16.1.99.Y20.3.99] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[A.IT.MARRG_FROM2017.ALL.ALL.YEAR.Y16.1.99.Y20.4.99] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[A.IT.MARRG_FROM2017.ALL.ALL.YEAR.Y16.1.99.Y20.99.99] | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
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