Indicators used to calculate the Gender Equality Index, domain and sub-domain scores index__index_indics

Time format:

Years

Unit:

Various (see name of selected indicator) (comparable)

Description:

Developed at EIGE, The Gender Equality Index is a unique measurement tool that synthesises the complexity of gender equality as a multi-dimensional concept into a user-friendly and easily interpretable measure. It is formed by combining gender indicators, according to a conceptual framework, into a single summary measure.

The Index measures gender gaps that are adjusted to levels of achievement, ensuring that gender gaps cannot be regarded positively where they point to an adverse situation for both women and men. It assigns scores for Member States, between 1, total inequality and 100, full equality.

The Gender Equality Index consists of six core domains (work, money, knowledge, time, power and health) and two additional domains (intersecting inequalities and violence). Given the different nature of the latter two domains, only the core domains can be used in the computation of the Gender Equality Index score.

The Index is computed as follows. First, achievement-adjusted gender gaps are computed for all constituent metrics. Next, gaps for closely related metrics are combined to obtain sub-domain scores. The subdomain scores are then combined to obtain domain scores. Finally, the domain scores are combined to obtain the overall Gender Equality Index score.

Note that in the Gender Statistics Database, the indicators used to calculate the Gender Equality Index, domain and sub-domain scores are reported according to the year the Gender Equality Index was published, rather than the year data was available. For example, the 2023 Gender Equality Index was mostly based on data from 2021 as this was often the latest data available at the time the index was calculated. In the Index area of EIGE's database, data for each of the indicators used is always reported under the Index year rather than the actual year that the data refer to.

This view presents the values of the individual indicators used to compute the Gender Equality Index scores. A table detailing the specific data used to calculate each edition of the Gender Equality Index is available from the link below. It lists each of the indicators used under each domain/sub-domain of the index, the reference year of the data used, and details of any exceptions (e.g. when a different year is used for certain countries or when there is a break in the time-series).

List of indicators used in the Gender Equality Index

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Individual indicators used to compute the Gender Equality Index

Select all	Code	Label
	work_part_fter	FTE employment rate (%, 15+ population)
	work_part_dwl	Duration of working life (years, 15+ population)
	work_segqual_sect2	Employed people in Education, Human Health and Social Work activities (%, 15+ employed)
	work_segqual_flex	Ability to take an hour or two off during working hours to take care of personal or family matters (%, 15+ workers)
	work_segqual_career	Career Prospects Index (points, 0-100)
	money_fin_earn	Mean monthly earnings (PPS, working population)
	money_fin_inc	Mean equivalised net income (PPS, 16+ population)
	money_sit_atpov	At-risk-of-poverty rate (%, 16+ population)
	money_sit_inc	S20/S80 income quintile share (16+ population)
	know_attainpart_tert	Graduates of tertiary education (%, 15+ population)
	know_attainpart_life	People participating in formal or non-formal education and training (%, 15+ population)
	know_segre_segre	Tertiary students in the fields of Education, Health and Welfare, Humanities and Art (tertiary students) (%, 15+ population)
	time_care_children	People caring for and educating their children or grandchildren, elderly or people with disabilities, every day (% 18+ population)
	time_care_domestic	People doing cooking and/or housework, every day (%, 18+ population)
	time_social_leisure	Workers doing sporting, cultural or leisure activities outside of their home, at least daily or several times a week (%, 15+ workers)
	time_social_volunt	Workers involved in voluntary or charitable activities, at least once a month (%, 15+ workers)
	pwr_pol_min	Share of ministers (%)
	pwr_pol_parl	Share of members of parliament (%)
	pwr_pol_reg	Share of members of regional assemblies (%)
	pwr_econ_board	Share of members of boards in largest quoted companies, supervisory board or board of directors (%)
	pwr_econ_bank	Share of board members of central bank (%)
	pwr_soc_res	Share of board members of research funding organisations (%)
	pwr_soc_media	Share of board members of publically owned broadcasting organisations (%)
	pwr_soc_sport	Share of members of highest decision making body of the national Olympic sport organisations (%)
	health_status_stat	Self-perceived health, good or very good (%, 16+ population)
	health_status_lifexp	Life expectancy in absolute value at birth (years)
	health_status_hlye	Healthy life years in absolute value at birth (years)
	health_behav_risk	People who don’t smoke and are not involved in harmful drinking (%, 16+ population)
	health_behav_behav	People doing physical activities and/or consuming fruits and vegetables (%, 16+ population)
	health_access_medex	Population with unmet needs for medical examination (%, 16+ population)
	health_access_denex	People with unmet needs for dental examination (%, 16+ population)

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Geographic region

Select all	Code	Label
	EU27_2020	European Union - 27 countries (from 2020)
	BE	Belgium
	BG	Bulgaria
	CZ	Czechia
	DK	Denmark
	DE	Germany
	EE	Estonia
	IE	Ireland
	EL	Greece
	ES	Spain
	FR	France
	HR	Croatia
	IT	Italy
	CY	Cyprus
	LV	Latvia
	LT	Lithuania
	LU	Luxembourg
	HU	Hungary
	MT	Malta
	NL	Netherlands
	AT	Austria
	PL	Poland
	PT	Portugal
	RO	Romania
	SI	Slovenia
	SK	Slovakia
	FI	Finland
	SE	Sweden

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indic geo	work_part_fter	work_part_dwl	work_segqual_sect2	work_segqual_flex	work_segqual_career	money_fin_earn	money_fin_inc	money_sit_atpov	money_sit_inc	know_attainpart_tert	know_attainpart_life	know_segre_segre	time_care_children	time_care_domestic	time_social_leisure	time_social_volunt	pwr_pol_min	pwr_pol_parl	pwr_pol_reg	pwr_econ_board	pwr_econ_bank	pwr_soc_res	pwr_soc_media	pwr_soc_sport	health_status_stat	health_status_lifexp	health_status_hlye	health_behav_risk	health_behav_behav	health_access_medex	health_access_denex
SE	54	41	40	47(b)	67	2628	22102	17	23	45(b)	45(b)	53	25	61	25(b)	11(b)	49	47	48	37	31	50	54	52	65	85	65	80	60	6	4
FI	50	40	38	33(b)	65	2419	22847	14	27	38(b)	34(b)	49	24	62	37(b)	6(b)	56	46	47	36	25	46	43	32	63	84	56	69(e)	75	9	10
BE	42	33	38	27(b)	66	2778	25684	13	28	36(b)	21(b)	51	31	64	26(b)	8(b)	52	44	43	38	37	34	35	20	72	84	63	72	37	2	4
DK	50	39	42	37(b)	70	2868	25770	13	25	37(b)	38(b)	52	15	60	32(b)	14(b)	33	42	46	39	37	48	45	25	63	83	55	62	66	12	12
ES	43	34	26	36(b)	56	1961	19581	20	18	34(b)	25(b)	50	41	64	33(b)	9(b)	46	42	47	35	48	51	41	29	68	86	61	78	38	3	6
AT	43	36	28	36(b)	64	2343	27838	15	24	28(b)	22(b)	42	32	61	26(b)	14(b)	46	41	36	33	0	44	53	15	69	84	61	71	44	1	2
FR	45	35	33	16(b)	64	2282	23155(b)	15(b)	22(b)	34(b)	25(b)	37	31	68	30(b)	9(b)	50	38	49	46	45	43	49	38	63(b)	85	65(bp)	72	38	7(b)	10(b)
PT	52	37	30	29(b)	56	1367	14654	16	20	25(b)	21(b)	39	43	73	29(b)	10(b)	36	38	32	32	29	40	61	15	47	84(b)	58(bp)	83	26	6	11
NL	46	41	40	47(b)	61	2374	26577	15	25	35(b)	33(b)	37	30	69	46(b)	12(b)	48	37	35	40	38	47	28	33	69	83	56(p)	75	71	1	1
IT	32	28	26	27(b)	52	2201	20946	21	17	17(b)	16(b)	48	34	72	28(b)	11(b)	38	35	24	41	35	30(b)	44	27	71	85	68	80	25	2	2
DE	44	37	32	32(b)	65	2765	26209	16	23	24(b)	16(b)	41	21	44	21(b)	13(b)	47	34	33	37	35	46	35	26	62	83	61(b)	61	52	1	1
LU	52	33	28	32(b)	70	3497	36469(b)	17(b)	22(b)	42(b)	31(b)	36	30	62	23(b)	7(b)	32	34	30	23	44	58	42	22	73(b)	85	59(b)	67	49	4(b)	1(b)
EU27_2020	44	34	30	29(b)	62	2321	20859	17	21	28(b)	20(b)	43	34	63	29(b)	11(b)	34	33	31	32	28	42	37	21	65	83(b)	63(b)	73(e)	38	5	5
HR	42	32	27	38(b)	60	1572	13109	21	21	23(b)	13(b)	38	39	78	12(b)	4(b)	27	32	30	28	15	19	29	11	61	81(b)	62(b)	70	25	5	2
LV	53	37	27	36(b)	63	1349	14124	27	15	38(b)	21(b)	44	41	73	24(b)	11(b)	32	29	15	22	37	83	62	26	46	79	55	79	23	11	12
EE	55	41	28	35(b)	66	1461	18653	27	19	43(b)	28(b)	47	17	51	25(b)	5(b)	44	28	29	10	8	30	11	15	56	82	61	79	35	14	3
IE	49	36	35	33(b)	65	2597	22825	14	25	45(b)	23(b)	46	36	68	10(b)	12(b)	27	28	26	33	40	48	50	28	80	84	67	69	56	4	3
LT	56	38	27	29(b)	62	1316	16637	25	16	43(b)	16(b)	46	35	65	21(b)	10(b)	44	28	31	23	36	35	31	22	44	80	62	82	31	4	3
PL	47	32	26	23(b)	60	1677	16368	14	26	30(b)	15(b)	40	48	67	43(b)	11(b)	19	28	28	25	21	22	18	8	59	81(b)	64(b)	76	24	6	2
SI	49	36	30	31(b)	60	1847	19883	13	30	36(b)	29(b)	42	26	69	30(b)	11(b)	32	27	34	23	31	52	37	6	64	84	68	68	31	5	5
BG	49	32	19	23(b)	66	1078	11916	25	14	27(b)	10(b)	45	43	72	25(b)	8(b)	38	24	27	17	38	53	37	21	65	78(b)	69(b)	70	11	3	3
CZ	49	33	27	18(b)	61	1463	16629	12	29	22(b)	17(b)	49	34	58	23(b)	7(b)	18	23	22	22	10	30	14	8	65	82	62	70	27	2	2
MT	51	35	31	45(b)	69	2238	24133	18	21	26(b)	19(b)	50	32	78	22(b)	5(b)	16	23	26	14	27	41	37	14	74	85	70	73	22	1	1
SK	53	34	28	20(b)	66	1285	10284	13	33	27(b)	19(b)	51	37	53	24(b)	8(b)	21	22	15	27	0	10	21	13	63	80	58	76	31	7	4
EL	36	30	25	29(b)	51	1524	12272	19	19	26(b)	14(b)	36	37	65	26(b)	10(b)	17	21	21	22	17	12	17	12	75	83	68	76	25	14	15
RO	40	28	20	25(b)	66	1732	11217	20	18	15(b)	13(b)	34	52	66	25(b)	18(b)	11	20	21	18	0	45(b)	34	15	69	79	59(e)	73	6	8	7
CY	52	35	19	43(b)	53	1941	22635	15	24	41(b)	17(b)	49	41	70	19(b)	6(b)	24	16	15	10	13	23	15	9	77	83	66	84	24	0	2
HU	51	34	24	36(b)	64	1408	11183	13	25	26(b)	15(b)	41	28	59	24(b)	9(b)	12	13	15	10	11	8	43	12	61	79(b)	64(b)	72	35	6	2

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