[FREQ] Frequency

[A] annual

[RESIDENCE_TERR] Residence territory

[IT] Italy
[ITC] Nord-ovest
[ITC1] Piemonte
[ITC2] Valle d'Aosta / Vallée d'Aoste
[ITC3] Liguria
[ITC4] Lombardia
[ITD] Nord-est
[ITD1] Provincia Autonoma Bolzano / Bozen
[ITD2] Provincia Autonoma Trento
[ITD3] Veneto
[ITD4] Friuli-Venezia Giulia
[ITD5] Emilia-Romagna
[ITDA] Trentino Alto Adige / Südtirol
[ITE] Centro (I)
[ITE1] Toscana
[ITE2] Umbria
[ITE3] Marche
[ITE4] Lazio
[ITF] Sud
[ITF1] Abruzzo
[ITF2] Molise
[ITF3] Campania
[ITF4] Puglia
[ITF5] Basilicata
[ITF6] Calabria
[ITG] Isole
[ITG1] Sicilia
[ITG2] Sardegna

[DATA_TYPE] Indicator

[LBIRTHES_FROM2017] live births estimate
[LBIRTH_FROM2017] live births

[CITIZENSHIP_MOTHER] Mother's citizenship

[TOTAL] total

[MOTHER_AGE] Mother's age

[TOTAL] total

[FATHERS_AGE] Father's age

[TOTAL] total

[YEAR_BIRTH_MOTHER] Mother's year of birth

[ALL] all items

[MARITAL_STATUS_MOTHER] Mother's marital status

[99] total

[MARITAL_STATUS_FATHER] Father's marital status

[99] total

[COUPLE_OF_PARENTS] Type of couple of parents

[ALL] all items

[GEOG_AREA_BIRTH] Geographical area of birth

[ALL] all items

[CITIZEN_FOREIN_OFBIRTH] Continent of foreign citizenship of birth

[WORLD] All countries of the world

[Y_BORN_ALIVE_MARRIAGE] Born alive within marriage

[9] total

Search filters

Frequency [FREQ] (1)

Residence territory [RESIDENCE_TERR] (28)

Indicator [DATA_TYPE] (2)

Mother's citizenship [CITIZENSHIP_MOTHER] (1)

Mother's age [MOTHER_AGE] (1)

Father's age [FATHERS_AGE] (1)

Mother's year of birth [YEAR_BIRTH_MOTHER] (1)

Mother's marital status [MARITAL_STATUS_MOTHER] (1)

Father's marital status [MARITAL_STATUS_FATHER] (1)

Type of couple of parents [COUPLE_OF_PARENTS] (1)

Geographical area of birth [GEOG_AREA_BIRTH] (1)

Continent of foreign citizenship of birth [CITIZEN_FOREIN_OFBIRTH] (1)

Born alive within marriage [Y_BORN_ALIVE_MARRIAGE] (1)

This dataset has 56 series:

Trim NA Values

Series code	2017	2018	2019	2020	2021
[A.ITC4.LBIRTHES_FROM2017.TOTAL.TOTAL.TOTAL.ALL.99.99.ALL.ALL.WORLD.9]	78888	75693	73117	69235	68918
[A.ITC4.LBIRTH_FROM2017.TOTAL.TOTAL.TOTAL.ALL.99.99.ALL.ALL.WORLD.9]	78064	76607	71782	69235	68918
[A.ITD.LBIRTHES_FROM2017.TOTAL.TOTAL.TOTAL.ALL.99.99.ALL.ALL.WORLD.9]	87576	85259	81446	79206	79267
[A.ITD.LBIRTH_FROM2017.TOTAL.TOTAL.TOTAL.ALL.99.99.ALL.ALL.WORLD.9]	87259	85768	80814	79206	79267
[A.ITD1.LBIRTHES_FROM2017.TOTAL.TOTAL.TOTAL.ALL.99.99.ALL.ALL.WORLD.9]	5351	5284	5234	5191	5173
[A.ITD1.LBIRTH_FROM2017.TOTAL.TOTAL.TOTAL.ALL.99.99.ALL.ALL.WORLD.9]	5350	5283	5249	0	5173
[A.ITD2.LBIRTHES_FROM2017.TOTAL.TOTAL.TOTAL.ALL.99.99.ALL.ALL.WORLD.9]	4495	4353	4239	4048	4190
[A.ITD2.LBIRTH_FROM2017.TOTAL.TOTAL.TOTAL.ALL.99.99.ALL.ALL.WORLD.9]	4494	4385	4314	0	4190
[A.ITD3.LBIRTHES_FROM2017.TOTAL.TOTAL.TOTAL.ALL.99.99.ALL.ALL.WORLD.9]	36596	35393	33556	32672	32799
[A.ITD3.LBIRTH_FROM2017.TOTAL.TOTAL.TOTAL.ALL.99.99.ALL.ALL.WORLD.9]	36307	35530	33333	32672	32799

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