[174_65] Distribution of household work of couples

Name: Distribution of household work of couples
Creator: DBnomics

Updated on DBnomics on April 5, 2023 (7:04 AM).

[FREQ] Frequency

[A] annual

[REF_AREA] 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

[AIDW] Asymmetry index in domestic work of couple with woman aged 25-64 years
[AIDW-65] Asymmetry index in domestic work of couple with woman aged 65 years and over
[AIDW1] Asymmetry index in food management of couple with woman aged 25-64 years
[AIDW1-65] Asymmetry index in food management of couple with woman aged 65 years and over
[AIDW2] Asymmetry index in household upkeeping of couple with woman aged 25-64 years
[AIDW2-65] Asymmetry index in household upkeeping of couple with woman aged 65 years and over
[AIDW3] Asymmetry index in making and care for textiles of couple with woman aged 25-64 years
[AIDW3-65] Asymmetry index in making and care for textiles of couple with woman aged 65 years and over
[AIFC] Asymmetry index in family care of couple with woman aged 25-64 years
[AIFC-65] Asymmetry index in family care of couple with woman aged 65 years and over
[AIFC1] Asymmetry index in childcare of couple with woman aged 25-64 years
[AIFC2] Asymmetry index in adult care of couple with woman aged 25-64 years
[AIHW] Asymmetry index in household work of couple with woman aged 25-64 years
[AIHW-65] Asymmetry index in household work of couple with woman aged 65 years and over
[AIS] Asymmetry index in shopping and services of couple with woman aged 25-64 years
[AIS-65] Asymmetry index in shopping and services of couple with woman aged 65 years and over

[AGE_WOMAN] Age of the woman

[Y25-44] 25-44 years
[Y25-64] 25-64 years
[Y45-64] 45-64 years
[Y_GE65] 65 years and over

[LABOUR_PROFESS_STATUS_C_COUPLE] Main status of couple

[ALL] all items
[EMEW] Couple with both partners employed
[EMUW] Couple with employed man and unemployed woman
[OES] Couple in other employment status

[COUPLE_CHILDREN] Couple with or without children

[11] couple with children
[6] couple without children
[99] total

[EDU_LEV_WOMAN] Highest level of education attained by woman

[11] tertiary (university, doctoral and specialization courses)
[13] no educational degree, primary and lower secondary school certificate
[7] upper and post secondary
[99] total

[EDU_LEV_MAN] Highest level of education attained by man

[11] tertiary (university, doctoral and specialization courses)
[13] no educational degree, primary and lower secondary school certificate
[7] upper and post secondary
[99] total

[LAB_PROF_STATUS_B_WOMAN] Role in employment of woman

[1] employed person
[11] not employed
[1A] executive, employer, professional
[1B] middle management, white collar
[1C] blu collar, apprentice
[1D] self-employed, family worker, co.co.co.
[99] total

[AGE_OF_YOUNGEST_CHILD] Age of youngest child

[TOTAL] total
[Y11-13] 11-13 years
[Y14-17] 14-17 years
[Y3-5] 3-5 years
[Y6-10] 6-10 years
[Y_GE18] 18 years and over
[Y_UN2] until 2 years

[NUMBER_OF_CHILDREN] Number of children

[N0] 0
[N1] 1
[N2_GE] 2 and over
[TOT] total

Search filters

Frequency [FREQ] (1)

Territory [REF_AREA] (28)

Indicator [DATA_TYPE] (16)

Age of the woman [AGE_WOMAN] (4)

Main status of couple [LABOUR_PROFESS_STATUS_C_COUPLE] (4)

Couple with or without children [COUPLE_CHILDREN] (3)

Highest level of education attained by woman [EDU_LEV_WOMAN] (4)

Highest level of education attained by man [EDU_LEV_MAN] (4)

Role in employment of woman [LAB_PROF_STATUS_B_WOMAN] (7)

Age of youngest child [AGE_OF_YOUNGEST_CHILD] (7)

Number of children [NUMBER_OF_CHILDREN] (4)

This dataset has 5,650 series:

Trim NA Values

Series code	2002	2008	2013
[A.IT.AIDW-65.Y_GE65.ALL.99.11.99.99.TOTAL.TOT]	76	77.3	76.5
[A.IT.AIDW-65.Y_GE65.ALL.99.13.99.99.TOTAL.TOT]	79.5	78.3	75.4
[A.IT.AIDW-65.Y_GE65.ALL.99.7.99.99.TOTAL.TOT]	81.7	79.2	73.8
[A.IT.AIDW-65.Y_GE65.ALL.99.99.11.99.TOTAL.TOT]	81.5	82.8	77
[A.IT.AIDW-65.Y_GE65.ALL.99.99.13.99.TOTAL.TOT]	79.2	77.9	75.2
[A.IT.AIDW-65.Y_GE65.ALL.99.99.7.99.TOTAL.TOT]	81.8	79.7	74.7
[A.IT.AIDW-65.Y_GE65.ALL.99.99.99.99.TOTAL.TOT]	79.6	78.4	75.3
[A.IT.AIDW.Y25-44.EMEW.11.11.99.99.TOTAL.TOT]	79.9	77.5	70.7
[A.IT.AIDW.Y25-44.EMEW.11.13.99.99.TOTAL.TOT]	81.5	78.8	75.4
[A.IT.AIDW.Y25-44.EMEW.11.7.99.99.TOTAL.TOT]	81.1	78.3	74.3

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