[174_80] Daily activities - people in couple

Name: Daily activities - people in couple
Creator: DBnomics

Updated on DBnomics on March 29, 2023 (6:24 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
[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

[ATGA-COP] average time in main activities in hours and minutes carried out by people living in couple
[ATSA-COP] average time in main activities per partecipant in hours and minutes carried out by people living in couple
[PERA-COP] percentage hours/day in main activities carried out by people living in couple
[PRA-COP] participation rate in main activities by people living in couple

[TIME_PERIOD_WEEK] Reference period of time

[AVD_00_00-24_00] average day
[SAT_00_00-24_00] saturday
[SUN_00_00-24_00] sunday
[WEK_00_00-24_00] weekdays

[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

[SEX] Gender

[1] males
[2] females

[TYPE_DAILY_ACTIVITY] Type of activities

[0] personal care
[1] employment
[3] household work
[31] food management
[31-35_37] domestic work
[32] household upkeep
[33] laundry, ironing and handicraft
[36] shopping and services
[38] childcare
[38-39] family care
[39] adultcare
[5-8] leisure/free time
[90] travel

[COUPLE_CHILDREN] Couple with or without children

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

[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

[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

[AGE_OF_YOUNGEST_CHILD] Age of youngest child

[NAP] not applicable
[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] (26)

Indicator [DATA_TYPE] (4)

Reference period of time [TIME_PERIOD_WEEK] (4)

Age of the woman [AGE_WOMAN] (4)

Gender [SEX] (2)

Type of activities [TYPE_DAILY_ACTIVITY] (13)

Couple with or without children [COUPLE_CHILDREN] (3)

Main status of couple [LABOUR_PROFESS_STATUS_C_COUPLE] (4)

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

Age of youngest child [AGE_OF_YOUNGEST_CHILD] (8)

Number of children [NUMBER_OF_CHILDREN] (4)

This dataset has 262,288 series:

Trim NA Values

Series code	2002	2008	2013
[A.IT.ATGA-COP.AVD_00_00-24_00.Y25-44.1.0.11.EMUW.99.Y3-5.TOT]	10.54	11.01	11.12
[A.IT.ATGA-COP.AVD_00_00-24_00.Y25-44.1.0.11.EMUW.99.Y6-10.TOT]	11.02	10.51	10.49
[A.IT.ATGA-COP.AVD_00_00-24_00.Y25-44.1.0.11.EMUW.99.Y_GE18.TOT]	11.19	11.02	9.39
[A.IT.ATGA-COP.AVD_00_00-24_00.Y25-44.1.0.11.EMUW.99.Y_UN2.TOT]	10.42	10.52	10.38
[A.IT.ATGA-COP.AVD_00_00-24_00.Y25-44.1.0.11.OES.11.TOTAL.TOT]	10.4	10.35	10.38
[A.IT.ATGA-COP.AVD_00_00-24_00.Y25-44.1.0.11.OES.13.TOTAL.TOT]	12.06	11.46	12.11
[A.IT.ATGA-COP.AVD_00_00-24_00.Y25-44.1.0.11.OES.7.TOTAL.TOT]	12.1	12.08	11.38
[A.IT.ATGA-COP.AVD_00_00-24_00.Y25-44.1.0.11.OES.99.TOTAL.N1]	11.47	12.17	11.55
[A.IT.ATGA-COP.AVD_00_00-24_00.Y25-44.1.0.11.OES.99.TOTAL.N2_GE]	12.1	11.39	11.36
[A.IT.ATGA-COP.AVD_00_00-24_00.Y25-44.1.0.11.OES.99.TOTAL.TOT]	12.04	11.53	11.44

Showing results 21 - 30 / 262,288