[723_1041] Couple family - labour status

Name: Couple family - labour status
Creator: DBnomics

Updated on DBnomics on May 9, 2024 (6:38 AM).

[FREQ] Frequency

[REF_AREA] Territory

[DATA_TYPE] Indicator

[BTH_NEMP_ALT1R] both not employed partners, at least one retired
[BTH_NEMP_NR] both not employed partners, no-one retired
[BTH_NO_EMP] both not employed partners
[COUPF_TOTAL] couple families
[C_1EMP] only one employed partner
[C_1M_EMP] only employed man
[C_1M_FT] only man full-time employed
[C_1M_PT] only man part-time employed
[C_1W_EMP] only employed woman
[C_1W_FT] only woman full-time employed
[C_1W_PT] only woman part-time employed
[C_BTH_EMP] both employed partners
[C_BTH_FT] both full-time employed partners
[C_BTH_PT] both part-time employed partners
[C_MEMP_WNR] man employed, woman not retired
[C_MEMP_WNSK_NAVNR] man employed, woman not seeking employment and not available to work (not retired)
[C_MEMP_WR] man employed, woman retired
[C_MEMP_WUN_PANR] man employed, woman unemployed or potential additional labour force (not retired)
[C_MFT_WPT] man full-time employed, woman part-time employed
[C_MPT_WFT] man part-time employed, woman full-time employed
[C_WEMP_MNR] woman employed, man not retired
[C_WEMP_MNSK_NAVNR] woman employed, man not seeking employment and not available to work (not retired)
[C_WEMP_MR] woman employed, man retired
[C_WEMP_MUN_PANR] woman employed, man unemployed or potential additional labour force (not retired)

[TARGET_COUPLE_FAMILIES] Target couple famililies

[AGE_WOMAN] Woman's age

[NUMBER_OF_CHILD_COUPLE] Number of children in the couple

[AGE_YOUNGEST_CHILDCOUPLE] Age of the youngest child of the couple

[EDU_LEV_WOMAN] Highest level of education attained by woman

[ALL] total
[BMRD] bachelor’s degree or first level academic diploma; Diploma of Higher Technical; University Diploma; Master’s degree or second level academic diploma (and Academy Conservatory old programme); Research Doctorate (PhD)/ Advanced research academic diploma
[NPL] no educational degree, final assessment (Primary school), diploma of lower secondary education
[USE_IF] diploma of upper secondary education and Certification of higher technical specialisation

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Frequency [FREQ] (1)

Territory [REF_AREA] (28)

Indicator [DATA_TYPE] (24)

Target couple famililies [TARGET_COUPLE_FAMILIES] (1)

Woman's age [AGE_WOMAN] (2)

Number of children in the couple [NUMBER_OF_CHILD_COUPLE] (6)

Age of the youngest child of the couple [AGE_YOUNGEST_CHILDCOUPLE] (5)

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

This dataset has 1,616 series:

Trim NA Values

Series code	2021	2022	2023
[A.IT.BTH_NEMP_NR.COUPF_W_Y25_64.Y25-64.TOT.TOTAL.ALL]	803.506	700.957	665.588
[A.IT.BTH_NEMP_NR.COUPF_W_Y25_64.Y25-64.TOT.TOTAL.BMRD]	36.798	25.048	32.859
[A.IT.BTH_NEMP_NR.COUPF_W_Y25_64.Y25-64.TOT.TOTAL.NPL]	562.084	506.768	458.242
[A.IT.BTH_NEMP_NR.COUPF_W_Y25_64.Y25-64.TOT.TOTAL.USE_IF]	204.623	169.141	174.486
[A.IT.BTH_NO_EMP.COUPF_W_Y25_64.Y25-49.N0.TOTAL.ALL]	66.763	56.305	55.373
[A.IT.BTH_NO_EMP.COUPF_W_Y25_64.Y25-49.N1.TOTAL.ALL]	133.092	112.135	98.206
[A.IT.BTH_NO_EMP.COUPF_W_Y25_64.Y25-49.N1_GE.TOTAL.ALL]	391.12	327.668	290.574
[A.IT.BTH_NO_EMP.COUPF_W_Y25_64.Y25-49.N1_GE.Y6-17.ALL]	180.044	159.4	141.544
[A.IT.BTH_NO_EMP.COUPF_W_Y25_64.Y25-49.N1_GE.Y_GE18.ALL]	49.407	44.912	36.519
[A.IT.BTH_NO_EMP.COUPF_W_Y25_64.Y25-49.N1_GE.Y_UN17.ALL]	341.713	282.757	254.055

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